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f9e2070c247517b1ddf65f7b11b393484a18da91a958fd18a97bd0f241c3125c third_party/diffusers/LICENSE diff --git a/README.md b/README.md index fd092f4a48de34776a9c9b2f9a1c6672947282ad..1f1013f3c874d3ad607dbeae36c9180666f3b7c4 100644 --- a/README.md +++ b/README.md @@ -15,6 +15,23 @@ This public repository is a self-contained handoff for retraining UMM Stage 2: Q The deployed visual-token counts are `[8,4,4,4,4]`; VGGT/depth uses four tokens, aligned with CoVT. +## Current status (2026-08-11) + +Stage-2 continuation training is complete at step 9,000. Portable dense bfloat16 +models for steps 7,000 and 9,000 are included at: + +- `models/ckpts/stage2_covt_from3k_bcd_2k/merged/checkpoint-7000-merged`; +- `models/ckpts/stage2_covt_from3k_bcd_2k/merged/checkpoint-9000-merged`. + +Both models passed the 767-tensor dense validation, exact 54-expert comparison, +exact LoRA merge probe and finite-value scan. Step 7,000 was evaluated on full +CV-Bench test, labelled BLINK val and V* core test. Step 9,000 is merged and +validated but not yet benchmarked. + +Read [`reports/PROGRESS_2026-08-11.md`](reports/PROGRESS_2026-08-11.md) before +continuing work. It contains the exact curriculum, benchmark results, V* +resolution correction, published artifact paths and remaining tasks. + ## Download and deploy ```bash @@ -50,6 +67,15 @@ MODEL_PATH="$PWD/outputs/stage2_covt_sam_vggt_covt4_v2" \ bash code/umm/stage2_covt/run_merge.sh ``` +For an exact saved checkpoint, always set both source and destination: + +```bash +MODEL_PATH="$PWD/models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-9000" \ +SAVE_MODEL_PATH="$PWD/models/ckpts/stage2_covt_from3k_bcd_2k/merged/checkpoint-9000-merged" \ +DTYPE=bfloat16 DEVICE_MAP=cpu \ + bash code/umm/stage2_covt/run_merge.sh +``` + ## Included artifacts - portable UMM code and DeepSpeed config; @@ -60,6 +86,8 @@ MODEL_PATH="$PWD/outputs/stage2_covt_sam_vggt_covt4_v2" \ - exact local CoVT dataset: 889,489 conversations and 756,894 images; - relocatable packed `unvideo` environment; - `$deploy-umm-stage2` Code Agent skill; +- validated merged Stage-2 checkpoints at steps 7,000 and 9,000; +- full evaluation metrics, audits, selected logs and progress reports under `reports/`; - SHA256 integrity manifest and provenance metadata. FLUX weights and the 560 GB Stage-1 DeepSpeed optimizer history are not included because the active Stage-2 code does not load them. Stage 2 consumes only the included 1.06 GB Stage-1 connector file. diff --git a/artifact_sources.yaml b/artifact_sources.yaml index aa48cdc3fc4051b6d16450c3d41370a86b6d6df9..4a2d2b204c587ef7d93e99295c89ebaac2e3fe57 100644 --- a/artifact_sources.yaml +++ b/artifact_sources.yaml @@ -49,3 +49,24 @@ environment: python: '3.10' pytorch: 2.8.0+cu128 deepspeed: 0.18.9 + +stage2_continuation: + completed_utc: '2026-08-11' + source_step: 3000 + phase_boundaries: [3000, 5000, 7000, 9000] + cvbench_eval_every_n_steps: 500 + merged_checkpoints: + - models/ckpts/stage2_covt_from3k_bcd_2k/merged/checkpoint-7000-merged + - models/ckpts/stage2_covt_from3k_bcd_2k/merged/checkpoint-9000-merged + progress_report: reports/PROGRESS_2026-08-11.md + +evaluation_datasets: + cvbench: + source: nyu-visionx/CV-Bench + revision: bc284db50d036958861cb60cdd7b77612052ce0d + blink: + source: BLINK-Benchmark/BLINK + revision: a3666eb249237ba3d5eca8db21176cc47967e040 + vstar: + source: craigwu/vstar_bench + revision: d9ae62c903da0c98336e85c5ee89cd863b04b4da diff --git a/code/umm/runtime/models/blip3o/data/covt_data_van.py b/code/umm/runtime/models/blip3o/data/covt_data_van.py index 2e22d44b72abc9d696452be1a14ef65f9e29806a..ab5ad8c50acd64f9ee30cb6a46de2e17fcee6706 100644 --- a/code/umm/runtime/models/blip3o/data/covt_data_van.py +++ b/code/umm/runtime/models/blip3o/data/covt_data_van.py @@ -578,7 +578,15 @@ class SupervisedDataset(Dataset): def set_cur_step(self, step: int): self.cur_step = step - print(f"[Dataset] cur_step has been set to {step}") + if step < self.stage_0_step: + phase = "A_input_anchors" + elif step < self.stage_1_step: + phase = "B_anchor_generation" + elif step < self.stage_2_step: + phase = "C_full_covt" + else: + phase = "D_mixed_covt" + print(f"[Dataset] cur_step={step} phase={phase}") def __len__(self): return len(self.list_data_dict) diff --git a/code/umm/runtime/models/blip3o/model/language_model/covt_qwen_stage2_van.py b/code/umm/runtime/models/blip3o/model/language_model/covt_qwen_stage2_van.py index 92164ced462dc3f92c7815922f4c51f699f7ff60..7bdb792a0ae7fc8234d523d165abcaa5863e042c 100644 --- a/code/umm/runtime/models/blip3o/model/language_model/covt_qwen_stage2_van.py +++ b/code/umm/runtime/models/blip3o/model/language_model/covt_qwen_stage2_van.py @@ -2667,6 +2667,10 @@ class CoVTVanForConditionalGeneration(Qwen3VLPreTrainedModel,GenerationMixin, bl if video_grid_thw is not None: video_grid_thw = video_grid_thw.to(device=device) + # These are wrapper-only controls, not Hugging Face ``generate`` kwargs. + return_generated_ids = bool(generate_kwargs.pop("return_generated_ids", False)) + skip_special_tokens = bool(generate_kwargs.pop("skip_special_tokens", True)) + gen_kw: Dict[str, Any] = dict( input_ids=input_ids, attention_mask=attention_mask, @@ -2705,7 +2709,9 @@ class CoVTVanForConditionalGeneration(Qwen3VLPreTrainedModel,GenerationMixin, bl out_ids[len(in_ids):] for in_ids, out_ids in zip(input_ids, generated_ids) ] texts =processor.batch_decode( - generated_ids_trimmed, skip_special_tokens=True, clean_up_tokenization_spaces=False + generated_ids_trimmed, + skip_special_tokens=skip_special_tokens, + clean_up_tokenization_spaces=False, ) # texts = self.decode_llm_token_ids_to_text( @@ -2717,6 +2723,8 @@ class CoVTVanForConditionalGeneration(Qwen3VLPreTrainedModel,GenerationMixin, bl # ) # if return_generated_ids: # return texts, generated_ids + if return_generated_ids: + return texts, generated_ids_trimmed return texts def forward( diff --git a/code/umm/stage2_covt/cvbench_eval.py b/code/umm/stage2_covt/cvbench_eval.py new file mode 100644 index 0000000000000000000000000000000000000000..5e821f4498d3ef25415e715c87d2a35852364914 --- /dev/null +++ b/code/umm/stage2_covt/cvbench_eval.py @@ -0,0 +1,366 @@ +"""Distributed, judge-free CV-Bench evaluation during Stage-2 training.""" + +from __future__ import annotations + +import json +import os +import re +import time +from collections import Counter +from pathlib import Path +from typing import Optional, Sequence + +import torch +import torch.distributed as dist +from PIL import Image +from transformers import TrainerCallback + +from models.blip3o.constants import SYSTEM_MESSAGE +from models.blip3o.data.covt_data_van import get_image_info + + +_PAREN_CHOICE = re.compile(r"\(([A-Z])\)", re.IGNORECASE) +_BARE_CHOICE = re.compile(r"(?(.*?)", re.IGNORECASE | re.DOTALL) +_COVT_ANCHOR_TOKENS = { + "sam": "<|sam_pad|>", + "dino": "<|dino_pad|>", + "depth": "<|depth_pad|>", + "pidinet": "<|pidinet_pad|>", + "siglip": "<|siglip_pad|>", +} + + +def _normalize_text(value: str) -> str: + return re.sub(r"\s+", " ", value.strip().lower()).strip(" .,:;!?()[]{}") + + +def extract_choice(text: str, choices: Sequence[str]) -> Optional[str]: + """Extract an option letter with deterministic string matching only.""" + answer_spans = _ANSWER_SPAN.findall(text) + candidate = answer_spans[-1] if answer_spans else text + matches = _PAREN_CHOICE.findall(candidate) + if matches: + return matches[-1].upper() + matches = _BARE_CHOICE.findall(candidate) + valid = [match.upper() for match in matches if ord(match.upper()) - ord("A") < len(choices)] + if valid: + return valid[-1] + normalized = _normalize_text(candidate) + for index, choice in enumerate(choices): + if normalized == _normalize_text(str(choice)): + return chr(ord("A") + index) + return None + + +def _expected_choice(answer: str) -> str: + match = _PAREN_CHOICE.search(str(answer)) + if not match: + raise ValueError(f"CV-Bench answer is not an option letter: {answer!r}") + return match.group(1).upper() + + +def _rank() -> int: + return dist.get_rank() if dist.is_available() and dist.is_initialized() else 0 + + +def _world_size() -> int: + return dist.get_world_size() if dist.is_available() and dist.is_initialized() else 1 + + +def _unwrap_generation_model(model): + while hasattr(model, "module"): + model = model.module + if hasattr(model, "get_base_model"): + model = model.get_base_model() + return model + + +class CVBenchEvalCallback(TrainerCallback): + """Run 2D/3D multiple-choice accuracy on all ranks at fixed steps.""" + + def __init__( + self, + *, + processor, + manifest_path: str, + every_n_steps: int, + max_new_tokens: int = 64, + image_min_pixels: int = 200704, + image_max_pixels: int = 802816, + image_resized_width: int = 448, + image_resized_height: int = 448, + fail_fast: bool = True, + ): + if every_n_steps <= 0: + raise ValueError("CV-Bench every_n_steps must be positive") + self.processor = processor + self.manifest_path = Path(manifest_path).resolve() + self.every_n_steps = int(every_n_steps) + self.max_new_tokens = int(max_new_tokens) + self.image_min_pixels = int(image_min_pixels) + self.image_max_pixels = int(image_max_pixels) + self.image_resized_width = int(image_resized_width) + self.image_resized_height = int(image_resized_height) + self.fail_fast = bool(fail_fast) + self._records: Optional[list[dict]] = None + self._last_step = -1 + + def _load_records(self) -> list[dict]: + if self._records is None: + if not self.manifest_path.is_file(): + raise FileNotFoundError(f"CV-Bench manifest not found: {self.manifest_path}") + records = [ + json.loads(line) + for line in self.manifest_path.read_text(encoding="utf-8").splitlines() + if line.strip() + ] + counts = Counter(str(record.get("config")) for record in records) + if len(records) != 500 or counts != Counter({"2D": 250, "3D": 250}): + raise ValueError( + f"CV-Bench validation must contain 250 2D + 250 3D rows; got {dict(counts)}" + ) + for record in records: + image_path = (self.manifest_path.parent / record["image"]).resolve() + if not image_path.is_file(): + raise FileNotFoundError(f"CV-Bench image missing: {image_path}") + record["_image_path"] = str(image_path) + self._records = records + return self._records + + def _tokenize(self, prompt: str, image: Image.Image) -> dict[str, torch.Tensor]: + messages = [ + {"role": "system", "content": SYSTEM_MESSAGE}, + { + "role": "user", + "content": [ + {"type": "image"}, + {"type": "text", "text": prompt}, + ], + }, + ] + rendered = self.processor.apply_chat_template( + messages, tokenize=False, add_generation_prompt=True + ) + vision_input = get_image_info( + image, + self.image_min_pixels, + self.image_max_pixels, + self.image_resized_width, + self.image_resized_height, + ) + kwargs = { + "text": [rendered], + "images": [vision_input], + "padding": True, + "return_tensors": "pt", + } + if hasattr(self.processor, "create_mm_token_type_ids"): + kwargs["return_mm_token_type_ids"] = True + try: + inputs = self.processor(**kwargs) + except TypeError: + kwargs.pop("return_mm_token_type_ids", None) + inputs = self.processor(**kwargs) + if "mm_token_type_ids" not in inputs and hasattr( + self.processor, "create_mm_token_type_ids" + ): + inputs["mm_token_type_ids"] = torch.tensor( + self.processor.create_mm_token_type_ids(inputs["input_ids"].tolist()), + dtype=torch.long, + ) + return {key: value for key, value in inputs.items() if torch.is_tensor(value)} + + def _evaluate_one(self, model, record: dict) -> dict: + prompt = ( + str(record["prompt"]) + + "\nReturn the selected option in tags, for example " + + "(A)." + ) + with Image.open(record["_image_path"]) as opened: + image = opened.convert("RGB") + inputs = self._tokenize(prompt, image) + device = next(model.parameters()).device + inputs = {key: value.to(device) for key, value in inputs.items()} + texts, generated_ids = model.forward_llm_decode_text( + self.processor.tokenizer, + self.processor, + max_new_tokens=self.max_new_tokens, + do_sample=False, + use_cache=True, + return_generated_ids=True, + **inputs, + ) + text = str(texts[0]) + token_ids = [int(value) for value in generated_ids[0].tolist()] + raw_text = self.processor.tokenizer.decode( + token_ids, + skip_special_tokens=False, + clean_up_tokenization_spaces=False, + ) + # Parse the raw continuation so ... remains an explicit + # boundary once the later curriculum begins emitting CoVT prose. + predicted = extract_choice(raw_text, record["choices"]) + expected = _expected_choice(record["answer"]) + anchor_counts = { + name: raw_text.count(token) for name, token in _COVT_ANCHOR_TOKENS.items() + } + return { + "sample_id": record["sample_id"], + "config": record["config"], + "task": record["task"], + "row_index": record["row_index"], + "expected": expected, + "predicted": predicted, + "correct": predicted == expected, + "response": text, + "raw_response": raw_text, + "generated_token_ids": token_ids, + "covt_has_think": "" in raw_text and "" in raw_text, + "covt_has_answer": "" in raw_text and "" in raw_text, + "covt_anchor_counts": anchor_counts, + "covt_has_any_anchor": any(anchor_counts.values()), + "error": None, + } + + @staticmethod + def _metrics(results: list[dict], elapsed: float) -> dict[str, float]: + metrics: dict[str, float] = { + "eval/cvbench_seconds": float(elapsed), + "eval/cvbench_samples": float(len(results)), + "eval/cvbench_errors": float(sum(bool(row["error"]) for row in results)), + "eval/cvbench_parse_rate": sum(row["predicted"] is not None for row in results) + / max(len(results), 1), + "eval/cvbench_accuracy": sum(bool(row["correct"]) for row in results) + / max(len(results), 1), + "eval/cvbench_covt_think_rate": sum( + bool(row.get("covt_has_think")) for row in results + ) + / max(len(results), 1), + "eval/cvbench_covt_answer_tag_rate": sum( + bool(row.get("covt_has_answer")) for row in results + ) + / max(len(results), 1), + "eval/cvbench_covt_any_anchor_rate": sum( + bool(row.get("covt_has_any_anchor")) for row in results + ) + / max(len(results), 1), + } + for name in _COVT_ANCHOR_TOKENS: + metrics[f"eval/cvbench_covt_{name}_tokens_mean"] = sum( + int(row.get("covt_anchor_counts", {}).get(name, 0)) for row in results + ) / max(len(results), 1) + groups: dict[str, list[dict]] = {} + for result in results: + groups.setdefault(str(result["config"]), []).append(result) + groups.setdefault(f"{result['config']}_{result['task']}", []).append(result) + for name, rows in sorted(groups.items()): + safe_name = re.sub(r"[^a-zA-Z0-9]+", "_", name).strip("_").lower() + metrics[f"eval/cvbench_{safe_name}_accuracy"] = sum( + bool(row["correct"]) for row in rows + ) / len(rows) + task_scores = [ + metrics[key] + for key in ( + "eval/cvbench_2d_count_accuracy", + "eval/cvbench_2d_relation_accuracy", + "eval/cvbench_3d_depth_accuracy", + "eval/cvbench_3d_distance_accuracy", + ) + if key in metrics + ] + if len(task_scores) == 4: + metrics["eval/cvbench_task_macro_accuracy"] = sum(task_scores) / 4 + metrics["eval/cvbench_2d_task_macro_accuracy"] = sum(task_scores[:2]) / 2 + metrics["eval/cvbench_3d_task_macro_accuracy"] = sum(task_scores[2:]) / 2 + return metrics + + def _run(self, args, state, model) -> None: + if dist.is_available() and dist.is_initialized(): + dist.barrier() + started = time.perf_counter() + records = self._load_records() + rank = _rank() + world_size = _world_size() + generation_model = _unwrap_generation_model(model) + was_training = generation_model.training + generation_model.eval() + local_results: list[dict] = [] + try: + with torch.inference_mode(): + for record in records[rank::world_size]: + try: + local_results.append(self._evaluate_one(generation_model, record)) + except Exception as exc: # noqa: BLE001 - synchronize failures across ranks + local_results.append( + { + "sample_id": record["sample_id"], + "config": record["config"], + "task": record["task"], + "row_index": record["row_index"], + "expected": _expected_choice(record["answer"]), + "predicted": None, + "correct": False, + "response": "", + "raw_response": "", + "generated_token_ids": [], + "covt_has_think": False, + "covt_has_answer": False, + "covt_anchor_counts": { + name: 0 for name in _COVT_ANCHOR_TOKENS + }, + "covt_has_any_anchor": False, + "error": repr(exc), + } + ) + finally: + if was_training: + generation_model.train() + + gathered: list[Optional[list[dict]]] = [None] * world_size + if dist.is_available() and dist.is_initialized(): + dist.all_gather_object(gathered, local_results) + else: + gathered = [local_results] + results = [row for shard in gathered if shard is not None for row in shard] + results.sort(key=lambda row: (row["config"], row["row_index"])) + elapsed = time.perf_counter() - started + metrics = self._metrics(results, elapsed) + + if rank == 0: + output = Path(args.output_dir) / "cvbench_eval" + output.mkdir(parents=True, exist_ok=True) + step = int(state.global_step) + with (output / f"step_{step:06d}.jsonl").open("w", encoding="utf-8") as handle: + for result in results: + handle.write(json.dumps(result, ensure_ascii=False) + "\n") + with (output / "metrics.jsonl").open("a", encoding="utf-8") as handle: + handle.write(json.dumps({"step": step, **metrics}, ensure_ascii=False) + "\n") + print(f"[cvbench] step={step} metrics={json.dumps(metrics, sort_keys=True)}", flush=True) + try: + import swanlab + + swanlab.log(metrics, step=step) + except Exception as exc: # noqa: BLE001 - local files remain authoritative + print(f"[cvbench] SwanLab logging failed: {exc!r}", flush=True) + + error_count = int(metrics["eval/cvbench_errors"]) + if dist.is_available() and dist.is_initialized(): + dist.barrier() + if error_count and self.fail_fast: + first_error = next(row["error"] for row in results if row["error"]) + raise RuntimeError( + f"CV-Bench evaluation failed for {error_count} samples; first error: {first_error}" + ) + + def on_step_end(self, args, state, control, model=None, **kwargs): + step = int(state.global_step) + if ( + model is not None + and step > 0 + and step % self.every_n_steps == 0 + and step != self._last_step + ): + self._last_step = step + self._run(args, state, model) + return control diff --git a/code/umm/stage2_covt/eval_cvbench.py b/code/umm/stage2_covt/eval_cvbench.py new file mode 100644 index 0000000000000000000000000000000000000000..7f805052088bc2ee1f06d3825fa6c3f68e26d4fe --- /dev/null +++ b/code/umm/stage2_covt/eval_cvbench.py @@ -0,0 +1,263 @@ +#!/usr/bin/env python3 +"""Standalone distributed evaluation for the fixed local CV-Bench-500 subset.""" + +from __future__ import annotations + +import argparse +import ctypes +import json +import os +import socket +import time +from datetime import datetime, timezone +from pathlib import Path + +import torch +import torch.distributed as dist +from transformers import AutoProcessor + +from cvbench_eval import CVBenchEvalCallback, _expected_choice +from models.blip3o.constants import ( + DEPTH_PAD_TOKEN, + DINO_PAD_TOKEN, + PIDINET_PAD_TOKEN, + SAM_PAD_TOKEN, + SIGLIP_PAD_TOKEN, +) +from models.blip3o.model.language_model.covt_qwen_stage2_van import ( + CoVTVanForConditionalGeneration, +) + + +ANCHORS = ["sam", "dino", "depth", "pidinet", "siglip"] +REQUIRED_SPECIAL_TOKENS = [ + SAM_PAD_TOKEN, + DINO_PAD_TOKEN, + DEPTH_PAD_TOKEN, + PIDINET_PAD_TOKEN, + SIGLIP_PAD_TOKEN, + "", + "", + "", + "", +] + + +def _set_process_name(name: str) -> None: + try: + ctypes.CDLL(None).prctl(15, name.encode()[:15], 0, 0, 0) + except Exception: + pass + + +def _distributed() -> tuple[int, int, int]: + world_size = int(os.environ.get("WORLD_SIZE", "1")) + rank = int(os.environ.get("RANK", "0")) + local_rank = int(os.environ.get("LOCAL_RANK", "0")) + torch.cuda.set_device(local_rank) + if world_size > 1: + dist.init_process_group( + backend="nccl", device_id=torch.device("cuda", local_rank) + ) + return rank, local_rank, world_size + + +def _barrier() -> None: + if dist.is_available() and dist.is_initialized(): + dist.barrier(device_ids=[torch.cuda.current_device()]) + + +def _write_json(path: Path, payload: dict) -> None: + temporary = path.with_suffix(path.suffix + ".tmp") + temporary.write_text( + json.dumps(payload, ensure_ascii=False, indent=2, sort_keys=True) + "\n", + encoding="utf-8", + ) + temporary.replace(path) + + +def _validate_tokenizer(processor, model) -> dict[str, int]: + token_ids: dict[str, int] = {} + unk_id = processor.tokenizer.unk_token_id + for token in REQUIRED_SPECIAL_TOKENS: + ids = processor.tokenizer(token, add_special_tokens=False).input_ids + if len(ids) != 1 or ids[0] == unk_id: + raise ValueError(f"Required token is not represented by one vocabulary row: {token!r} -> {ids}") + token_ids[token] = int(ids[0]) + embedding_rows = int(model.get_input_embeddings().weight.shape[0]) + if len(processor.tokenizer) > embedding_rows: + raise ValueError( + f"Tokenizer/model vocabulary mismatch: tokenizer={len(processor.tokenizer)}, " + f"embedding_rows={embedding_rows}" + ) + return token_ids + + +def _swanlab_log(args, metrics: dict, metadata: dict) -> dict: + if not args.swanlab: + return {"enabled": False} + import swanlab + + run = swanlab.init( + project=args.swanlab_project, + name=args.swanlab_run_name, + log_dir=str(args.output_dir / "swanlab"), + config=metadata, + tags=["CV-Bench", "evaluation", f"checkpoint-{args.checkpoint_step}", "8GPU"], + description="Judge-free exact-match evaluation on fixed CV-Bench-500 (250 2D + 250 3D).", + ) + swanlab.log(metrics, step=args.checkpoint_step) + run_id = getattr(run, "id", None) + run_url = getattr(run, "url", None) + swanlab.finish() + return {"enabled": True, "run_id": run_id, "run_url": str(run_url) if run_url else None} + + +def main() -> None: + parser = argparse.ArgumentParser() + parser.add_argument("--model-path", type=Path, required=True) + parser.add_argument("--manifest", type=Path, required=True) + parser.add_argument("--output-dir", type=Path, required=True) + parser.add_argument("--dtype", choices=("bfloat16", "float16"), default="bfloat16") + parser.add_argument( + "--attn-implementation", + choices=("flash_attention_2", "sdpa"), + default="flash_attention_2", + ) + parser.add_argument("--max-new-tokens", type=int, default=64) + parser.add_argument("--limit", type=int, default=0, help="Optional deterministic prefix for smoke tests") + parser.add_argument("--checkpoint-step", type=int, default=2000) + parser.add_argument("--process-name", default="H3_EVAL") + parser.add_argument("--swanlab", action="store_true") + parser.add_argument("--swanlab-project", default="unified-model") + parser.add_argument("--swanlab-run-name", default="H3_LoRA-ckpt2000-CVBench500") + args = parser.parse_args() + + args.model_path = args.model_path.resolve() + args.manifest = args.manifest.resolve() + args.output_dir = args.output_dir.resolve() + _set_process_name(args.process_name) + rank, local_rank, world_size = _distributed() + + if rank == 0: + if args.output_dir.exists() and any(args.output_dir.iterdir()): + raise FileExistsError(f"Evaluation output directory is not empty: {args.output_dir}") + args.output_dir.mkdir(parents=True, exist_ok=True) + _barrier() + + dtype = torch.bfloat16 if args.dtype == "bfloat16" else torch.float16 + processor = AutoProcessor.from_pretrained( + args.model_path, + local_files_only=True, + trust_remote_code=True, + ) + model = CoVTVanForConditionalGeneration.from_pretrained( + args.model_path, + local_files_only=True, + torch_dtype=dtype, + attn_implementation=args.attn_implementation, + low_cpu_mem_usage=True, + device_map={"": local_rank}, + ) + model.get_anchor_model_ids(ANCHORS, load_anchor_models=False) + model.config.use_cache = True + model.eval() + token_ids = _validate_tokenizer(processor, model) + + evaluator = CVBenchEvalCallback( + processor=processor, + manifest_path=str(args.manifest), + every_n_steps=1, + max_new_tokens=args.max_new_tokens, + fail_fast=False, + ) + records = evaluator._load_records() + if args.limit: + if args.limit < 1 or args.limit > len(records): + raise ValueError(f"--limit must be in [1, {len(records)}], got {args.limit}") + records = records[: args.limit] + local_records = records[rank::world_size] + shard_path = args.output_dir / f"rank_{rank:02d}.jsonl" + local_results: list[dict] = [] + started = time.perf_counter() + with shard_path.open("w", encoding="utf-8", buffering=1) as handle: + with torch.inference_mode(): + for index, record in enumerate(local_records, start=1): + try: + result = evaluator._evaluate_one(model, record) + except Exception as exc: # keep every row auditable across ranks + result = { + "sample_id": record["sample_id"], + "config": record["config"], + "task": record["task"], + "row_index": record["row_index"], + "expected": _expected_choice(record["answer"]), + "predicted": None, + "correct": False, + "response": "", + "error": repr(exc), + } + local_results.append(result) + handle.write(json.dumps(result, ensure_ascii=False) + "\n") + if index % 10 == 0 or index == len(local_records): + print( + f"[cvbench][rank {rank}] {index}/{len(local_records)} " + f"correct={sum(bool(row['correct']) for row in local_results)}", + flush=True, + ) + + gathered: list[list[dict] | None] = [None] * world_size + if world_size > 1: + dist.all_gather_object(gathered, local_results) + else: + gathered = [local_results] + results = [row for shard in gathered if shard is not None for row in shard] + results.sort(key=lambda row: (row["config"], int(row["row_index"]))) + elapsed = time.perf_counter() - started + + expected_count = len(records) + if len(results) != expected_count or len({row["sample_id"] for row in results}) != expected_count: + raise RuntimeError(f"Expected {expected_count} unique results, got {len(results)} rows") + metrics = evaluator._metrics(results, elapsed) + metadata = { + "created_utc": datetime.now(timezone.utc).isoformat(), + "host": socket.gethostname(), + "model_path": str(args.model_path), + "manifest": str(args.manifest), + "checkpoint_step": args.checkpoint_step, + "world_size": world_size, + "dtype": args.dtype, + "attention": args.attn_implementation, + "max_new_tokens": args.max_new_tokens, + "sample_limit": args.limit or None, + "decoding": "greedy", + "scoring": "deterministic option exact-match; no LLM judge", + "tokenizer_length": len(processor.tokenizer), + "embedding_rows": int(model.get_input_embeddings().weight.shape[0]), + "required_token_ids": token_ids, + } + + if rank == 0: + with (args.output_dir / "results.jsonl").open("w", encoding="utf-8") as handle: + for row in results: + handle.write(json.dumps(row, ensure_ascii=False) + "\n") + _write_json(args.output_dir / "metrics.json", {"metadata": metadata, "metrics": metrics}) + try: + swanlab_status = _swanlab_log(args, metrics, metadata) + except Exception as exc: + swanlab_status = {"enabled": True, "error": repr(exc)} + print(f"[cvbench] SwanLab logging failed: {exc!r}", flush=True) + _write_json(args.output_dir / "swanlab.json", swanlab_status) + print(f"[cvbench] final_metrics={json.dumps(metrics, sort_keys=True)}", flush=True) + + error_count = sum(bool(row["error"]) for row in results) + _barrier() + if dist.is_available() and dist.is_initialized(): + dist.destroy_process_group() + if error_count: + first_error = next(row["error"] for row in results if row["error"]) + raise RuntimeError(f"CV-Bench had {error_count} inference errors; first={first_error}") + + +if __name__ == "__main__": + main() diff --git a/code/umm/stage2_covt/eval_cvbench_base.py b/code/umm/stage2_covt/eval_cvbench_base.py new file mode 100644 index 0000000000000000000000000000000000000000..0229824113abfe105290b658a9d6789b4bc9088d --- /dev/null +++ b/code/umm/stage2_covt/eval_cvbench_base.py @@ -0,0 +1,390 @@ +#!/usr/bin/env python3 +"""Evaluate raw or Stage-1-aligned Qwen3-VL on fixed CV-Bench-500.""" + +from __future__ import annotations + +import argparse +import ctypes +import hashlib +import json +import os +import socket +import time +from datetime import datetime, timezone +from pathlib import Path + +import torch +import torch.distributed as dist +from PIL import Image +from transformers import AutoProcessor, Qwen3VLForConditionalGeneration + +from cvbench_eval import CVBenchEvalCallback, _expected_choice, extract_choice + + +ANCHOR_TOKENS = { + "sam": "<|sam_pad|>", + "dino": "<|dino_pad|>", + "depth": "<|depth_pad|>", + "pidinet": "<|pidinet_pad|>", + "siglip": "<|siglip_pad|>", +} + + +def _set_process_name(name: str) -> None: + try: + ctypes.CDLL(None).prctl(15, name.encode()[:15], 0, 0, 0) + except Exception: + pass + + +def _distributed() -> tuple[int, int, int]: + local_rank = int(os.environ.get("LOCAL_RANK", "0")) + if int(os.environ.get("WORLD_SIZE", "1")) > 1 and not dist.is_initialized(): + torch.cuda.set_device(local_rank) + dist.init_process_group(backend="nccl") + rank = dist.get_rank() if dist.is_initialized() else 0 + world_size = dist.get_world_size() if dist.is_initialized() else 1 + return rank, local_rank, world_size + + +def _barrier() -> None: + if dist.is_initialized(): + dist.barrier() + + +def _write_json(path: Path, value: dict) -> None: + path.write_text( + json.dumps(value, ensure_ascii=False, indent=2, sort_keys=True) + "\n", + encoding="utf-8", + ) + + +def _sha256(path: Path) -> str: + digest = hashlib.sha256() + with path.open("rb") as handle: + for chunk in iter(lambda: handle.read(8 * 1024 * 1024), b""): + digest.update(chunk) + return digest.hexdigest() + + +def _apply_stage1_alignment(model, processor, checkpoint_path: Path) -> dict: + """Reproduce Stage-1's 258-token vocabulary extension and row restore. + + The checkpoint's generation down-projector is deliberately not instantiated: + CV-Bench uses only the image-understanding forward/generation path. The two + tensors that can affect text generation are restored exactly. + """ + query_tokens = ["", ""] + [ + f"" for index in range(256) + ] + old_vocab_size = len(processor.tokenizer) + added = processor.tokenizer.add_special_tokens( + {"additional_special_tokens": query_tokens} + ) + if added != len(query_tokens): + raise RuntimeError( + f"Expected to add {len(query_tokens)} Stage-1 tokens, added {added}" + ) + model.resize_token_embeddings(len(processor.tokenizer)) + try: + state = torch.load( + checkpoint_path, map_location="cpu", mmap=True, weights_only=True + ) + except TypeError: + state = torch.load(checkpoint_path, map_location="cpu") + row_count = len(query_tokens) + head_rows = state["lm_head.weight"][-row_count:] + embed_rows = state["model.language_model.embed_tokens.weight"][-row_count:] + if tuple(head_rows.shape) != (row_count, model.get_output_embeddings().weight.shape[1]): + raise ValueError(f"Unexpected Stage-1 lm_head rows: {tuple(head_rows.shape)}") + if tuple(embed_rows.shape) != (row_count, model.get_input_embeddings().weight.shape[1]): + raise ValueError(f"Unexpected Stage-1 embedding rows: {tuple(embed_rows.shape)}") + with torch.no_grad(): + model.get_output_embeddings().weight[-row_count:].copy_( + head_rows.to( + device=model.get_output_embeddings().weight.device, + dtype=model.get_output_embeddings().weight.dtype, + ) + ) + model.get_input_embeddings().weight[-row_count:].copy_( + embed_rows.to( + device=model.get_input_embeddings().weight.device, + dtype=model.get_input_embeddings().weight.dtype, + ) + ) + del state, head_rows, embed_rows + return { + "old_tokenizer_length": old_vocab_size, + "new_tokenizer_length": len(processor.tokenizer), + "stage1_query_token_count": row_count, + "stage1_query_token_id_start": int( + processor.tokenizer.convert_tokens_to_ids("") + ), + } + + +def _evaluate_one(model, evaluator: CVBenchEvalCallback, processor, record: dict, max_new_tokens: int) -> dict: + prompt = ( + str(record["prompt"]) + + "\nReturn the selected option in tags, for example " + + "(A)." + ) + with Image.open(record["_image_path"]) as opened: + inputs = evaluator._tokenize(prompt, opened.convert("RGB")) + device = next(model.parameters()).device + dtype = next(model.parameters()).dtype + inputs = {key: value.to(device) for key, value in inputs.items()} + if "pixel_values" in inputs: + inputs["pixel_values"] = inputs["pixel_values"].to(dtype=dtype) + generation_inputs = { + key: value + for key, value in inputs.items() + if key + in { + "input_ids", + "attention_mask", + "pixel_values", + "image_grid_thw", + "pixel_values_videos", + "video_grid_thw", + "mm_token_type_ids", + } + } + prompt_length = int(inputs["input_ids"].shape[1]) + previous_rope_deltas = getattr(model, "rope_deltas", None) + if hasattr(model, "rope_deltas"): + model.rope_deltas = None + try: + generated = model.generate( + **generation_inputs, + max_new_tokens=max_new_tokens, + do_sample=False, + use_cache=True, + temperature=1.0, + top_p=1.0, + top_k=50, + pad_token_id=processor.tokenizer.pad_token_id + or processor.tokenizer.eos_token_id, + eos_token_id=processor.tokenizer.eos_token_id, + ) + finally: + if hasattr(model, "rope_deltas"): + model.rope_deltas = previous_rope_deltas + token_ids = [int(value) for value in generated[0, prompt_length:].tolist()] + raw_text = processor.tokenizer.decode( + token_ids, skip_special_tokens=False, clean_up_tokenization_spaces=False + ) + visible_text = processor.tokenizer.decode( + token_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False + ) + predicted = extract_choice(raw_text, record["choices"]) + expected = _expected_choice(record["answer"]) + anchor_counts = {name: raw_text.count(token) for name, token in ANCHOR_TOKENS.items()} + return { + "sample_id": record["sample_id"], + "config": record["config"], + "task": record["task"], + "row_index": record["row_index"], + "expected": expected, + "predicted": predicted, + "correct": predicted == expected, + "response": visible_text, + "raw_response": raw_text, + "generated_token_ids": token_ids, + "covt_has_think": "" in raw_text and "" in raw_text, + "covt_has_answer": "" in raw_text and "" in raw_text, + "covt_anchor_counts": anchor_counts, + "covt_has_any_anchor": any(anchor_counts.values()), + "error": None, + } + + +def main() -> None: + parser = argparse.ArgumentParser() + parser.add_argument("--model-path", type=Path, required=True) + parser.add_argument( + "--variant", choices=("raw", "stage1-aligned"), required=True + ) + parser.add_argument("--stage1-checkpoint", type=Path) + parser.add_argument("--manifest", type=Path, required=True) + parser.add_argument("--output-dir", type=Path, required=True) + parser.add_argument("--max-new-tokens", type=int, default=64) + parser.add_argument("--limit", type=int, default=0) + parser.add_argument("--process-name", default="H3_BASE_EVAL") + parser.add_argument("--swanlab-project", default="unified-model") + parser.add_argument("--swanlab-run-name", default="H3-Stage1Base-CVBench500") + args = parser.parse_args() + + _set_process_name(args.process_name) + rank, local_rank, world_size = _distributed() + model_path = args.model_path.resolve() + stage1_checkpoint = ( + args.stage1_checkpoint.resolve() if args.stage1_checkpoint is not None else None + ) + if args.variant == "stage1-aligned" and stage1_checkpoint is None: + raise ValueError("--stage1-checkpoint is required for --variant stage1-aligned") + manifest = args.manifest.resolve() + output_dir = args.output_dir.resolve() + if rank == 0: + if output_dir.exists() and any(output_dir.iterdir()): + raise FileExistsError(f"Evaluation output directory is not empty: {output_dir}") + output_dir.mkdir(parents=True, exist_ok=True) + _barrier() + + processor = AutoProcessor.from_pretrained(model_path, local_files_only=True) + model = Qwen3VLForConditionalGeneration.from_pretrained( + model_path, + local_files_only=True, + torch_dtype=torch.bfloat16, + attn_implementation="flash_attention_2", + low_cpu_mem_usage=True, + device_map={"": local_rank}, + ) + alignment_info = {} + if args.variant == "stage1-aligned": + alignment_info = _apply_stage1_alignment( + model, processor, stage1_checkpoint + ) + model.config.use_cache = True + model.eval() + + evaluator = CVBenchEvalCallback( + processor=processor, + manifest_path=str(manifest), + every_n_steps=1, + max_new_tokens=args.max_new_tokens, + fail_fast=False, + ) + records = evaluator._load_records() + if args.limit: + records = records[: args.limit] + local_records = records[rank::world_size] + local_results = [] + shard_path = output_dir / f"rank_{rank:02d}.jsonl" + started = time.perf_counter() + with shard_path.open("w", encoding="utf-8", buffering=1) as handle: + with torch.inference_mode(): + for index, record in enumerate(local_records, start=1): + try: + result = _evaluate_one( + model, evaluator, processor, record, args.max_new_tokens + ) + except Exception as exc: # noqa: BLE001 + result = { + "sample_id": record["sample_id"], + "config": record["config"], + "task": record["task"], + "row_index": record["row_index"], + "expected": _expected_choice(record["answer"]), + "predicted": None, + "correct": False, + "response": "", + "raw_response": "", + "generated_token_ids": [], + "covt_has_think": False, + "covt_has_answer": False, + "covt_anchor_counts": {name: 0 for name in ANCHOR_TOKENS}, + "covt_has_any_anchor": False, + "error": repr(exc), + } + local_results.append(result) + handle.write(json.dumps(result, ensure_ascii=False) + "\n") + if index % 10 == 0 or index == len(local_records): + print( + f"[stage1-base][rank {rank}] {index}/{len(local_records)} " + f"correct={sum(bool(row['correct']) for row in local_results)}", + flush=True, + ) + + gathered = [None] * world_size + if dist.is_initialized(): + dist.all_gather_object(gathered, local_results) + else: + gathered = [local_results] + results = [row for shard in gathered if shard is not None for row in shard] + results.sort(key=lambda row: (row["config"], int(row["row_index"]))) + expected_count = len(records) + unique_ids = {row["sample_id"] for row in results} + if len(results) != expected_count or len(unique_ids) != expected_count: + raise RuntimeError( + "Distributed result completeness failure: " + f"rows={len(results)} unique_ids={len(unique_ids)} expected={expected_count}" + ) + elapsed = time.perf_counter() - started + metrics = evaluator._metrics(results, elapsed) + stage1_sha256 = ( + _sha256(stage1_checkpoint) + if rank == 0 and stage1_checkpoint is not None + else None + ) + metadata = { + "created_utc": datetime.now(timezone.utc).isoformat(), + "host": socket.gethostname(), + "variant": args.variant, + "baseline": ( + "Qwen3-VL-4B-Instruct + Stage-1 alignment checkpoint-32000" + if args.variant == "stage1-aligned" + else "raw Qwen3-VL-4B-Instruct" + ), + "model_path": str(model_path), + "stage1_alignment_checkpoint": ( + str(stage1_checkpoint) if stage1_checkpoint is not None else None + ), + "stage1_alignment_sha256": stage1_sha256, + "stage1_restore_scope": ( + "Restored all 258 Stage-1 input-embedding and lm-head rows. The " + "generation down-projector is not instantiated because CV-Bench does not " + "invoke the image-generation branch." + if args.variant == "stage1-aligned" + else None + ), + "alignment_info": alignment_info, + "manifest": str(manifest), + "world_size": world_size, + "dtype": "bfloat16", + "attention": "flash_attention_2", + "max_new_tokens": args.max_new_tokens, + "decoding": "greedy", + "scoring": "deterministic option exact-match; no LLM judge", + "tokenizer_length": len(processor.tokenizer), + } + if rank == 0: + with (output_dir / "results.jsonl").open("w", encoding="utf-8") as handle: + for row in results: + handle.write(json.dumps(row, ensure_ascii=False) + "\n") + _write_json(output_dir / "metrics.json", {"metadata": metadata, "metrics": metrics}) + try: + import swanlab + + run = swanlab.init( + project=args.swanlab_project, + name=args.swanlab_run_name, + log_dir=str(output_dir / "swanlab"), + config=metadata, + tags=["CV-Bench", args.variant, "base-model", "8GPU"], + description=f"{metadata['baseline']} on fixed CV-Bench-500.", + ) + swanlab.log(metrics, step=0) + swanlab_status = { + "enabled": True, + "run_id": getattr(run, "id", None), + "run_url": str(getattr(run, "url", "") or "") or None, + } + swanlab.finish() + except Exception as exc: # local artifacts remain authoritative + swanlab_status = {"enabled": True, "error": repr(exc)} + _write_json(output_dir / "swanlab.json", swanlab_status) + print( + f"[{args.variant}] final_metrics={json.dumps(metrics, sort_keys=True)}", + flush=True, + ) + _barrier() + error_count = sum(row["error"] is not None for row in results) + if dist.is_initialized(): + dist.destroy_process_group() + if error_count: + raise RuntimeError(f"Evaluation completed with {error_count} sample errors") + + +if __name__ == "__main__": + main() diff --git a/code/umm/stage2_covt/eval_multibench.py b/code/umm/stage2_covt/eval_multibench.py new file mode 100644 index 0000000000000000000000000000000000000000..de8d263add781d6c1becf80873fd49d01be684c1 --- /dev/null +++ b/code/umm/stage2_covt/eval_multibench.py @@ -0,0 +1,551 @@ +#!/usr/bin/env python3 +"""Distributed, judge-free evaluation for normalized multi-image MCQ manifests.""" + +from __future__ import annotations + +import argparse +import ctypes +import hashlib +import json +import os +import re +import socket +import time +from collections import Counter, defaultdict +from datetime import datetime, timezone +from pathlib import Path + +import torch +import torch.distributed as dist +from PIL import Image +from transformers import AutoProcessor + +from cvbench_eval import extract_choice +from models.blip3o.constants import ( + DEPTH_PAD_TOKEN, + DINO_PAD_TOKEN, + PIDINET_PAD_TOKEN, + SAM_PAD_TOKEN, + SIGLIP_PAD_TOKEN, + SYSTEM_MESSAGE, +) +from models.blip3o.data.covt_data_van import get_image_info +from models.blip3o.model.language_model.covt_qwen_stage2_van import ( + CoVTVanForConditionalGeneration, +) + + +ANCHORS = ["sam", "dino", "depth", "pidinet", "siglip"] +ANCHOR_TOKENS = { + "sam": SAM_PAD_TOKEN, + "dino": DINO_PAD_TOKEN, + "depth": DEPTH_PAD_TOKEN, + "pidinet": PIDINET_PAD_TOKEN, + "siglip": SIGLIP_PAD_TOKEN, +} +REQUIRED_SPECIAL_TOKENS = [ + *ANCHOR_TOKENS.values(), + "", + "", + "", + "", +] +ANSWER_RE = re.compile(r"^\s*\(?([A-Z])\)?\s*$", re.IGNORECASE) + + +def _set_process_name(name: str) -> None: + try: + ctypes.CDLL(None).prctl(15, name.encode()[:15], 0, 0, 0) + except Exception: + pass + + +def _distributed() -> tuple[int, int, int]: + world_size = int(os.environ.get("WORLD_SIZE", "1")) + rank = int(os.environ.get("RANK", "0")) + local_rank = int(os.environ.get("LOCAL_RANK", "0")) + torch.cuda.set_device(local_rank) + if world_size > 1: + dist.init_process_group(backend="nccl", device_id=torch.device("cuda", local_rank)) + return rank, local_rank, world_size + + +def _barrier() -> None: + if dist.is_available() and dist.is_initialized(): + dist.barrier(device_ids=[torch.cuda.current_device()]) + + +def _write_json(path: Path, payload: dict) -> None: + temporary = path.with_suffix(path.suffix + ".tmp") + temporary.write_text( + json.dumps(payload, ensure_ascii=False, indent=2, sort_keys=True) + "\n", + encoding="utf-8", + ) + temporary.replace(path) + + +def _sha256(path: Path) -> str: + digest = hashlib.sha256() + with path.open("rb") as handle: + for chunk in iter(lambda: handle.read(8 * 1024 * 1024), b""): + digest.update(chunk) + return digest.hexdigest() + + +def _slug(value: str) -> str: + return re.sub(r"[^a-zA-Z0-9]+", "_", value).strip("_").lower() + + +def _expected_choice(answer: str, choices: list[str]) -> str: + match = ANSWER_RE.fullmatch(str(answer)) + if not match: + raise ValueError(f"Answer is not an option letter: {answer!r}") + letter = match.group(1).upper() + if ord(letter) - ord("A") >= len(choices): + raise ValueError(f"Answer {letter} is outside {len(choices)} choices") + return letter + + +def _validate_tokenizer(processor, model) -> dict[str, int]: + result: dict[str, int] = {} + unknown = processor.tokenizer.unk_token_id + for token in REQUIRED_SPECIAL_TOKENS: + ids = processor.tokenizer(token, add_special_tokens=False).input_ids + if len(ids) != 1 or ids[0] == unknown: + raise ValueError(f"Required token is not one vocabulary row: {token!r} -> {ids}") + result[token] = int(ids[0]) + embedding_rows = int(model.get_input_embeddings().weight.shape[0]) + if len(processor.tokenizer) > embedding_rows: + raise ValueError( + f"Tokenizer/model vocabulary mismatch: tokenizer={len(processor.tokenizer)}, " + f"embedding_rows={embedding_rows}" + ) + return result + + +class MultiBenchEvaluator: + def __init__( + self, + processor, + manifest: Path, + max_new_tokens: int, + image_min_pixels: int = 200704, + image_max_pixels: int = 802816, + image_resized_width: int | None = 448, + image_resized_height: int | None = 448, + vstar_oracle_crop: bool = False, + vstar_raw_root: Path | None = None, + oracle_context_scale: float = 2.0, + ): + self.processor = processor + self.manifest = manifest + self.max_new_tokens = max_new_tokens + self.image_min_pixels = image_min_pixels + self.image_max_pixels = image_max_pixels + self.image_resized_width = image_resized_width + self.image_resized_height = image_resized_height + self.vstar_oracle_crop = vstar_oracle_crop + self.vstar_raw_root = vstar_raw_root + self.oracle_context_scale = oracle_context_scale + if self.vstar_oracle_crop and self.vstar_raw_root is None: + raise ValueError("--vstar-raw-root is required with --vstar-oracle-crop") + + def load_records(self) -> list[dict]: + records = [ + json.loads(line) + for line in self.manifest.read_text(encoding="utf-8").splitlines() + if line.strip() + ] + if not records: + raise ValueError(f"Manifest is empty: {self.manifest}") + if len({str(row["sample_id"]) for row in records}) != len(records): + raise ValueError("Manifest sample_id values are not unique") + for record in records: + image_paths = [] + for value in record["images"]: + path = Path(value) + if not path.is_absolute(): + path = self.manifest.parent / path + path = path.resolve() + if not path.is_file(): + raise FileNotFoundError(path) + image_paths.append(str(path)) + if not image_paths: + raise ValueError(f"Sample has no images: {record['sample_id']}") + record["_image_paths"] = image_paths + _expected_choice(record["answer"], record["choices"]) + return records + + def tokenize(self, prompt: str, images: list[Image.Image]) -> dict[str, torch.Tensor]: + content = [{"type": "image", "image": image} for image in images] + content.append({"type": "text", "text": prompt}) + messages = [] + if SYSTEM_MESSAGE: + messages.append({"role": "system", "content": SYSTEM_MESSAGE}) + messages.append({"role": "user", "content": content}) + rendered = self.processor.apply_chat_template( + messages, tokenize=False, add_generation_prompt=True + ) + vision_inputs = [ + get_image_info( + image, + self.image_min_pixels, + self.image_max_pixels, + self.image_resized_width, + self.image_resized_height, + ) + for image in images + ] + kwargs = { + "text": [rendered], + "images": vision_inputs, + "padding": False, + "return_tensors": "pt", + } + if hasattr(self.processor, "create_mm_token_type_ids"): + kwargs["return_mm_token_type_ids"] = True + try: + inputs = self.processor(**kwargs) + except TypeError: + kwargs.pop("return_mm_token_type_ids", None) + inputs = self.processor(**kwargs) + if "mm_token_type_ids" not in inputs and hasattr(self.processor, "create_mm_token_type_ids"): + inputs["mm_token_type_ids"] = torch.tensor( + self.processor.create_mm_token_type_ids(inputs["input_ids"].tolist()), + dtype=torch.long, + ) + return {key: value for key, value in inputs.items() if torch.is_tensor(value)} + + def _oracle_crop(self, image: Image.Image, record: dict) -> Image.Image: + assert self.vstar_raw_root is not None + image_path = Path(record["_image_paths"][0]) + annotation_path = self.vstar_raw_root / str(record["config"]) / f"{image_path.stem}.json" + annotation = json.loads(annotation_path.read_text(encoding="utf-8")) + boxes = annotation["bbox"] + x1 = min(float(x) for x, _, _, _ in boxes) + y1 = min(float(y) for _, y, _, _ in boxes) + x2 = max(float(x) + float(width) for x, _, width, _ in boxes) + y2 = max(float(y) + float(height) for _, y, _, height in boxes) + center_x = (x1 + x2) / 2 + center_y = (y1 + y2) / 2 + crop_width = max(x2 - x1, y2 - y1) * self.oracle_context_scale + crop_width = max(crop_width, 32.0) + left = max(0.0, center_x - crop_width / 2) + top = max(0.0, center_y - crop_width / 2) + right = min(float(image.width), center_x + crop_width / 2) + bottom = min(float(image.height), center_y + crop_width / 2) + return image.crop((round(left), round(top), round(right), round(bottom))) + + def evaluate_one(self, model, record: dict) -> dict: + prompt = ( + str(record["prompt"]).rstrip() + + "\nReturn the selected option in tags, for example (A)." + ) + images: list[Image.Image] = [] + try: + for image_path in record["_image_paths"]: + with Image.open(image_path) as opened: + images.append(opened.convert("RGB")) + if self.vstar_oracle_crop: + if len(images) != 1: + raise ValueError("V* oracle-crop diagnostic expects exactly one source image") + cropped = self._oracle_crop(images[0], record) + images[0].close() + images = [cropped] + inputs = self.tokenize(prompt, images) + finally: + for image in images: + image.close() + device = next(model.parameters()).device + inputs = {key: value.to(device) for key, value in inputs.items()} + texts, generated_ids = model.forward_llm_decode_text( + self.processor.tokenizer, + self.processor, + max_new_tokens=self.max_new_tokens, + do_sample=False, + use_cache=True, + return_generated_ids=True, + **inputs, + ) + token_ids = [int(value) for value in generated_ids[0].tolist()] + raw_text = self.processor.tokenizer.decode( + token_ids, + skip_special_tokens=False, + clean_up_tokenization_spaces=False, + ) + predicted = extract_choice(raw_text, record["choices"]) + expected = _expected_choice(record["answer"], record["choices"]) + anchor_counts = { + name: raw_text.count(token) for name, token in ANCHOR_TOKENS.items() + } + return { + "sample_id": record["sample_id"], + "benchmark": record["benchmark"], + "split": record["split"], + "config": record["config"], + "task": record["task"], + "row_index": record["row_index"], + "image_count": len(record["_image_paths"]), + "eval_image_mode": "vstar_oracle_crop" if self.vstar_oracle_crop else "global", + "expected": expected, + "predicted": predicted, + "correct": predicted == expected, + "response": str(texts[0]), + "raw_response": raw_text, + "generated_token_ids": token_ids, + "covt_has_think": "" in raw_text and "" in raw_text, + "covt_has_answer": "" in raw_text and "" in raw_text, + "covt_anchor_counts": anchor_counts, + "covt_has_any_anchor": any(anchor_counts.values()), + "error": None, + } + + +def _metrics(results: list[dict], benchmark: str, elapsed: float) -> dict[str, float]: + prefix = f"eval/{benchmark}" + count = max(len(results), 1) + metrics: dict[str, float] = { + f"{prefix}_seconds": float(elapsed), + f"{prefix}_samples": float(len(results)), + f"{prefix}_errors": float(sum(bool(row["error"]) for row in results)), + f"{prefix}_parse_rate": sum(row["predicted"] is not None for row in results) / count, + f"{prefix}_accuracy": sum(bool(row["correct"]) for row in results) / count, + f"{prefix}_covt_think_rate": sum(bool(row["covt_has_think"]) for row in results) / count, + f"{prefix}_covt_answer_tag_rate": sum(bool(row["covt_has_answer"]) for row in results) / count, + f"{prefix}_covt_any_anchor_rate": sum(bool(row["covt_has_any_anchor"]) for row in results) / count, + } + for name in ANCHOR_TOKENS: + metrics[f"{prefix}_covt_{name}_tokens_mean"] = sum( + int(row["covt_anchor_counts"].get(name, 0)) for row in results + ) / count + config_groups: dict[str, list[dict]] = defaultdict(list) + task_groups: dict[str, list[dict]] = defaultdict(list) + for row in results: + config_groups[str(row["config"])].append(row) + task_groups[str(row["task"])].append(row) + for name, rows in sorted(config_groups.items()): + metrics[f"{prefix}_{_slug(name)}_accuracy"] = sum(row["correct"] for row in rows) / len(rows) + metrics[f"{prefix}_{_slug(name)}_samples"] = float(len(rows)) + if len(config_groups) > 1: + metrics[f"{prefix}_config_macro_accuracy"] = sum( + sum(row["correct"] for row in rows) / len(rows) + for rows in config_groups.values() + ) / len(config_groups) + for name, rows in sorted(task_groups.items()): + key = f"{prefix}_task_{_slug(name)}_accuracy" + if key not in metrics: + metrics[key] = sum(row["correct"] for row in rows) / len(rows) + if len(task_groups) > 1: + metrics[f"{prefix}_task_macro_accuracy"] = sum( + sum(row["correct"] for row in rows) / len(rows) + for rows in task_groups.values() + ) / len(task_groups) + return metrics + + +def _swanlab_log(args, metrics: dict, metadata: dict) -> dict: + import swanlab + + run = swanlab.init( + project=args.swanlab_project, + name=args.swanlab_run_name, + log_dir=str(args.output_dir / "swanlab"), + config=metadata, + tags=[args.benchmark, "evaluation", f"checkpoint-{args.checkpoint_step}", "8GPU"], + description=f"Judge-free exact-match evaluation on {args.benchmark}.", + ) + swanlab.log(metrics, step=args.checkpoint_step) + status = { + "enabled": True, + "run_id": getattr(run, "id", None), + "run_url": str(getattr(run, "url", "") or "") or None, + } + swanlab.finish() + return status + + +def main() -> None: + parser = argparse.ArgumentParser() + parser.add_argument("--model-path", type=Path, required=True) + parser.add_argument("--manifest", type=Path, required=True) + parser.add_argument("--output-dir", type=Path, required=True) + parser.add_argument("--benchmark", choices=("cvbench", "blink", "vstar"), required=True) + parser.add_argument("--checkpoint-step", type=int, default=7000) + parser.add_argument("--max-new-tokens", type=int, default=256) + parser.add_argument("--image-min-pixels", type=int, default=200704) + parser.add_argument("--image-max-pixels", type=int, default=802816) + parser.add_argument("--image-resized-width", type=int, default=448) + parser.add_argument("--image-resized-height", type=int, default=448) + parser.add_argument("--vstar-oracle-crop", action="store_true") + parser.add_argument("--vstar-raw-root", type=Path) + parser.add_argument("--oracle-context-scale", type=float, default=2.0) + parser.add_argument("--limit", type=int, default=0) + parser.add_argument("--process-name", default="H3_EVAL_7K") + parser.add_argument("--swanlab", action="store_true") + parser.add_argument("--swanlab-project", default="unified-model") + parser.add_argument("--swanlab-run-name", default="H3_LoRA-ckpt7000-eval") + args = parser.parse_args() + + args.model_path = args.model_path.resolve() + args.manifest = args.manifest.resolve() + args.output_dir = args.output_dir.resolve() + if args.vstar_raw_root is not None: + args.vstar_raw_root = args.vstar_raw_root.resolve() + if args.vstar_oracle_crop and args.benchmark != "vstar": + raise ValueError("--vstar-oracle-crop is only valid for --benchmark vstar") + if (args.image_resized_width == 0) != (args.image_resized_height == 0): + raise ValueError("Set both resized dimensions to zero for dynamic resolution") + resized_width = args.image_resized_width or None + resized_height = args.image_resized_height or None + _set_process_name(args.process_name) + rank, local_rank, world_size = _distributed() + if rank == 0: + if args.output_dir.exists() and any(args.output_dir.iterdir()): + raise FileExistsError(f"Evaluation output directory is not empty: {args.output_dir}") + args.output_dir.mkdir(parents=True, exist_ok=True) + _barrier() + + processor = AutoProcessor.from_pretrained( + args.model_path, local_files_only=True, trust_remote_code=True + ) + model = CoVTVanForConditionalGeneration.from_pretrained( + args.model_path, + local_files_only=True, + torch_dtype=torch.bfloat16, + attn_implementation="flash_attention_2", + low_cpu_mem_usage=True, + device_map={"": local_rank}, + ) + model.get_anchor_model_ids(ANCHORS, load_anchor_models=False) + model.config.use_cache = True + model.eval() + token_ids = _validate_tokenizer(processor, model) + + evaluator = MultiBenchEvaluator( + processor, + args.manifest, + args.max_new_tokens, + image_min_pixels=args.image_min_pixels, + image_max_pixels=args.image_max_pixels, + image_resized_width=resized_width, + image_resized_height=resized_height, + vstar_oracle_crop=args.vstar_oracle_crop, + vstar_raw_root=args.vstar_raw_root, + oracle_context_scale=args.oracle_context_scale, + ) + records = evaluator.load_records() + if any(row["benchmark"] != args.benchmark for row in records): + raise ValueError("Manifest benchmark does not match --benchmark") + if args.limit: + if not 1 <= args.limit <= len(records): + raise ValueError(f"--limit must be in [1, {len(records)}]") + records = records[: args.limit] + local_records = records[rank::world_size] + local_results: list[dict] = [] + shard_path = args.output_dir / f"rank_{rank:02d}.jsonl" + started = time.perf_counter() + with shard_path.open("w", encoding="utf-8", buffering=1) as handle: + with torch.inference_mode(): + for index, record in enumerate(local_records, start=1): + try: + result = evaluator.evaluate_one(model, record) + except Exception as exc: + result = { + "sample_id": record["sample_id"], + "benchmark": record["benchmark"], + "split": record["split"], + "config": record["config"], + "task": record["task"], + "row_index": record["row_index"], + "image_count": len(record["_image_paths"]), + "expected": _expected_choice(record["answer"], record["choices"]), + "predicted": None, + "correct": False, + "response": "", + "raw_response": "", + "generated_token_ids": [], + "covt_has_think": False, + "covt_has_answer": False, + "covt_anchor_counts": {name: 0 for name in ANCHOR_TOKENS}, + "covt_has_any_anchor": False, + "error": repr(exc), + } + local_results.append(result) + handle.write(json.dumps(result, ensure_ascii=False) + "\n") + if index % 10 == 0 or index == len(local_records): + correct = sum(bool(row["correct"]) for row in local_results) + print( + f"[{args.benchmark}][rank {rank}] {index}/{len(local_records)} correct={correct}", + flush=True, + ) + + gathered: list[list[dict] | None] = [None] * world_size + if world_size > 1: + dist.all_gather_object(gathered, local_results) + else: + gathered = [local_results] + results = [row for shard in gathered if shard is not None for row in shard] + results.sort(key=lambda row: int(row["row_index"])) + elapsed = time.perf_counter() - started + expected_count = len(records) + if len(results) != expected_count or len({row["sample_id"] for row in results}) != expected_count: + raise RuntimeError(f"Expected {expected_count} unique results, got {len(results)}") + metrics = _metrics(results, args.benchmark, elapsed) + metadata = { + "created_utc": datetime.now(timezone.utc).isoformat(), + "host": socket.gethostname(), + "model_path": str(args.model_path), + "manifest": str(args.manifest), + "manifest_sha256": _sha256(args.manifest), + "benchmark": args.benchmark, + "split": records[0]["split"], + "checkpoint_step": args.checkpoint_step, + "world_size": world_size, + "dtype": "bfloat16", + "attention": "flash_attention_2", + "max_new_tokens": args.max_new_tokens, + "image_min_pixels": args.image_min_pixels, + "image_max_pixels": args.image_max_pixels, + "image_resized_width": resized_width, + "image_resized_height": resized_height, + "eval_image_mode": "vstar_oracle_crop" if args.vstar_oracle_crop else "global", + "oracle_context_scale": args.oracle_context_scale if args.vstar_oracle_crop else None, + "sample_limit": args.limit or None, + "decoding": "greedy", + "scoring": "deterministic option exact-match; no LLM judge", + "tokenizer_length": len(processor.tokenizer), + "embedding_rows": int(model.get_input_embeddings().weight.shape[0]), + "required_token_ids": token_ids, + "input_image_count_distribution": dict( + sorted(Counter(row["image_count"] for row in results).items()) + ), + } + if rank == 0: + with (args.output_dir / "results.jsonl").open("w", encoding="utf-8") as handle: + for row in results: + handle.write(json.dumps(row, ensure_ascii=False) + "\n") + _write_json(args.output_dir / "metrics.json", {"metadata": metadata, "metrics": metrics}) + if args.swanlab: + try: + status = _swanlab_log(args, metrics, metadata) + except Exception as exc: + status = {"enabled": True, "error": repr(exc)} + print(f"[{args.benchmark}] SwanLab logging failed: {exc!r}", flush=True) + else: + status = {"enabled": False} + _write_json(args.output_dir / "swanlab.json", status) + print(f"[{args.benchmark}] final_metrics={json.dumps(metrics, sort_keys=True)}", flush=True) + + error_count = sum(bool(row["error"]) for row in results) + _barrier() + if dist.is_available() and dist.is_initialized(): + dist.destroy_process_group() + if error_count: + first_error = next(row["error"] for row in results if row["error"]) + raise RuntimeError( + f"{args.benchmark} had {error_count} inference errors; first={first_error}" + ) + + +if __name__ == "__main__": + main() diff --git a/code/umm/stage2_covt/merge.py b/code/umm/stage2_covt/merge.py index 6b14e20bbdd4537a34b26f08c7d6aa980e3d51f5..74431e5a1e7286b001302efc657fec2d2d0b06bb 100644 --- a/code/umm/stage2_covt/merge.py +++ b/code/umm/stage2_covt/merge.py @@ -47,9 +47,18 @@ from models.blip3o.model.language_model.covt_qwen_stage2_van import ( # noqa: E def _normalize_non_lora_keys(state: Dict[str, Any]) -> Dict[str, Any]: - out: Dict[str, Any] = { - (k[11:] if k.startswith("base_model.") else k): v for k, v in state.items() - } + out: Dict[str, Any] = {} + for original_key, value in state.items(): + key = original_key[11:] if original_key.startswith("base_model.") else original_key + # The sidecar is captured after get_peft_model(), so every LoRA target's + # dense weight is named ``*.base_layer.weight``. At this point the + # destination is the unwrapped base model and expects ``*.weight``. + key = key.replace(".base_layer.", ".") + if key in out: + raise KeyError( + f"Non-LoRA key normalization collision: {original_key!r} -> {key!r}" + ) + out[key] = value if any(k.startswith("model.model.") for k in out): out = {(k[6:] if k.startswith("model.") else k): v for k, v in out.items()} return out @@ -242,7 +251,17 @@ def load_pretrained_model_for_merge( print("[lora_weight_merge] load non_lora_state_dict.bin …") non_lora_trainables = _normalize_non_lora_keys(non_lora_trainables) - model.load_state_dict(non_lora_trainables, strict=False) + load_result = model.load_state_dict(non_lora_trainables, strict=False) + if load_result.unexpected_keys: + raise RuntimeError( + "Dense sidecar contains keys that were not loaded; refusing a partial merge: " + f"{load_result.unexpected_keys[:20]}" + ) + print( + "[lora_weight_merge] loaded " + f"{len(non_lora_trainables)} dense tensors; " + f"base-only missing tensors={len(load_result.missing_keys)}." + ) print("[lora_weight_merge] load PEFT adapter …") model = PeftModel.from_pretrained(model, model_path) diff --git a/code/umm/stage2_covt/run_train.sh b/code/umm/stage2_covt/run_train.sh index 5fdd1fb5b73e4cf41e0a16a8c24a1cd7b636fe50..fbbd5d230081d9550c5f8c19e5fbce26c459c24d 100644 --- a/code/umm/stage2_covt/run_train.sh +++ b/code/umm/stage2_covt/run_train.sh @@ -18,6 +18,7 @@ export COVT_PIDINET_MODEL_PATH="${COVT_PIDINET_MODEL_PATH:-${UMM_ROOT}/models/te export UMM_AGENT_DEBUG_LOG="${UMM_AGENT_DEBUG_LOG:-${UMM_ROOT}/outputs/stage2_agent_debug.ndjson}" export SWANLAB_PROJ_NAME="${SWANLAB_PROJ_NAME:-unified-model}" export SWANLAB_LOG_DIR="${SWANLAB_LOG_DIR:-${UMM_ROOT}/outputs/swanlab}" +export UMM_PROCESS_NAME="${UMM_PROCESS_NAME:-H3_LoRA}" mkdir -p "${HF_HOME}" "${TORCH_HOME}" "${TMPDIR}" "${SWANLAB_LOG_DIR}" "${UMM_ROOT}/outputs" @@ -56,4 +57,7 @@ if [[ "${DRY_RUN:-0}" == "1" ]]; then exit 0 fi +# A conda-packed/relocatable Python resolves its stdlib from argv[0]; changing +# argv[0] with `exec -a` breaks startup before Python can import `encodings`. +# Each DeepSpeed worker sets PR_SET_NAME to UMM_PROCESS_NAME inside train.py. exec "${CMD[@]}" diff --git a/code/umm/stage2_covt/train.py b/code/umm/stage2_covt/train.py index a1d82ff537363749aadcd80d9eed9e85f0d28a01..c879ba1e7224a6482a4ca2d3dafd3ff10b46daf2 100644 --- a/code/umm/stage2_covt/train.py +++ b/code/umm/stage2_covt/train.py @@ -26,6 +26,7 @@ from models.blip3o.train_utils import ( from transformers.trainer_utils import sort_checkpoints import pathlib import sys +import ctypes # from liger_kernel.transformers import apply_liger_kernel_to_qwen2_vl # from monkey_patch_forward import replace_qwen2_5_with_mixed_modality_forward, replace_qwen_2_with_mixed_modality_forward @@ -34,10 +35,20 @@ from models.blip3o.model.language_model.covt_qwen_stage2_van import ( CoVTVanForConditionalGeneration, ) from models.blip3o.constants import * +from cvbench_eval import CVBenchEvalCallback local_rank = None +def _set_process_name() -> None: + """Give every DeepSpeed worker an identifiable Linux process name.""" + name = os.environ.get("UMM_PROCESS_NAME", "H3_LoRA")[:15] + try: + ctypes.CDLL(None).prctl(15, name.encode(), 0, 0, 0) + except Exception as exc: # noqa: BLE001 - process naming must not block training + print(f"[stage2_covt] unable to set process name to {name!r}: {exc!r}") + + def _yaml_to_argv(config_path: str) -> List[str]: """Flatten this stage's model/data/training YAML into HfArgumentParser args.""" try: @@ -446,6 +457,16 @@ class TrainingArguments(transformers.TrainingArguments): und_eval_repetition_penalty: float = field( default=1.0, metadata={"help": "run_und repetition_penalty."} ) + cvbench_eval_path: Optional[str] = field( + default=None, + metadata={"help": "Path to the 500-row CV-Bench validation.jsonl."}, + ) + cvbench_eval_every_n_steps: int = field( + default=0, + metadata={"help": "Run distributed judge-free CV-Bench matching every N steps."}, + ) + cvbench_eval_max_new_tokens: int = field(default=64) + cvbench_eval_fail_fast: bool = field(default=True) @dataclass class DataArguments: @@ -619,6 +640,8 @@ def configure_llm(model, training_args): def train(): global local_rank + _set_process_name() + parser = HfArgumentParser( (ModelArguments, DataArguments, TrainingArguments)) @@ -1005,6 +1028,26 @@ def train(): "[und_eval] und_eval_every_n_steps > 0 but und_eval_image_paths is empty; " "UndEvalDuringTrainingCallback not registered." ) + _cvbench_every = int(getattr(training_args, "cvbench_eval_every_n_steps", 0) or 0) + _cvbench_path = (getattr(training_args, "cvbench_eval_path", None) or "").strip() + if _cvbench_every > 0: + if not _cvbench_path: + raise ValueError( + "cvbench_eval_every_n_steps > 0 requires cvbench_eval_path" + ) + callbacks.append( + CVBenchEvalCallback( + processor=processor, + manifest_path=_cvbench_path, + every_n_steps=_cvbench_every, + max_new_tokens=int(training_args.cvbench_eval_max_new_tokens), + image_min_pixels=int(data_args.image_min_pixels), + image_max_pixels=int(data_args.image_max_pixels), + image_resized_width=int(data_args.image_resized_width), + image_resized_height=int(data_args.image_resized_height), + fail_fast=bool(training_args.cvbench_eval_fail_fast), + ) + ) _initialize_swanlab_compat(training_args) _dist_barrier() diff --git a/code/umm/stage2_covt/validate_checkpoint.py b/code/umm/stage2_covt/validate_checkpoint.py index 78343ad7ae61f0c100aae892ba8c73c03ce91c6c..19d8325235d9a9e650d299aa5e69a3adf8221537 100644 --- a/code/umm/stage2_covt/validate_checkpoint.py +++ b/code/umm/stage2_covt/validate_checkpoint.py @@ -9,9 +9,11 @@ from __future__ import annotations import argparse import json +import re from pathlib import Path import torch +from safetensors import safe_open GEOMETRY_FRAGMENT = "depth_geometry_projector" @@ -35,6 +37,25 @@ def _geometry_keys(state: dict[str, torch.Tensor]) -> list[str]: return sorted(key for key in state if GEOMETRY_FRAGMENT in key) +def _check_tensor(name: str, value: torch.Tensor) -> None: + if not torch.is_tensor(value) or value.numel() == 0: + raise AssertionError(f"Invalid tensor {name!r}") + if not bool(torch.isfinite(value).all().item()): + raise FloatingPointError(f"Non-finite tensor {name!r}") + + +def _validate_adapter(path: Path) -> int: + count = 0 + with safe_open(path, framework="pt", device="cpu") as handle: + keys = list(handle.keys()) + if not keys: + raise AssertionError("PEFT adapter contains no tensors") + for key in keys: + _check_tensor(f"adapter:{key}", handle.get_tensor(key)) + count += 1 + return count + + def main() -> None: parser = argparse.ArgumentParser() parser.add_argument("checkpoint", type=Path) @@ -42,7 +63,6 @@ def main() -> None: root = args.checkpoint.resolve() required = ( - "config.json", "adapter_config.json", "adapter_model.safetensors", "non_lora_state_dict.bin", @@ -52,11 +72,23 @@ def main() -> None: if missing: raise FileNotFoundError(f"Missing Stage-B artifacts under {root}: {missing}") - config = json.loads((root / "config.json").read_text(encoding="utf-8")) - for name, expected in EXPECTED_GEOMETRY.items(): - actual = config.get(name) - if actual != expected: - raise AssertionError(f"config.{name}={actual!r}, expected {expected!r}") + config_path = root / "config.json" + if config_path.is_file(): + config = json.loads(config_path.read_text(encoding="utf-8")) + config_source = str(config_path) + for name, expected in EXPECTED_GEOMETRY.items(): + actual = config.get(name) + if actual != expected: + raise AssertionError(f"config.{name}={actual!r}, expected {expected!r}") + else: + # QwenTrainer checkpoints save PEFT + student sidecars, but not a full + # config.json. The merge reconstructs the Stage-B config from the base + # model and the fixed deployment geometry below; tensor validation then + # proves that the sidecar actually implements that contract. + config = dict(EXPECTED_GEOMETRY) + config_source = "deployed Stage-B contract (checkpoint has no config.json)" + + adapter_tensors = _validate_adapter(root / "adapter_model.safetensors") expert_state = _load_state(root / "covt_van_expert_heads_trainable.bin") if not isinstance(expert_state, dict): @@ -64,36 +96,59 @@ def main() -> None: expert_geometry = _geometry_keys(expert_state) if not expert_geometry: raise AssertionError("Expert-head sidecar contains no VGGT geometry projector") - for key in expert_geometry: - value = expert_state[key] - if not torch.is_tensor(value) or value.numel() == 0: - raise AssertionError(f"Invalid expert tensor {key!r}") - if not bool(torch.isfinite(value).all().item()): - raise FloatingPointError(f"Non-finite expert tensor {key!r}") + for key, value in expert_state.items(): + _check_tensor(f"expert:{key}", value) # The dense merge consumes non_lora_state_dict.bin. Loading it with mmap # checks the serialization and key coverage without copying the ~9 GB file. non_lora_state = _load_state(root / "non_lora_state_dict.bin") if not isinstance(non_lora_state, dict): raise TypeError("non_lora_state_dict.bin is not a state dict") - non_lora_geometry = _geometry_keys(non_lora_state) - if set(non_lora_geometry) != set(expert_geometry): - missing_from_merge = sorted(set(expert_geometry) - set(non_lora_geometry)) - extra_in_merge = sorted(set(non_lora_geometry) - set(expert_geometry)) + missing_from_merge = sorted(set(expert_state) - set(non_lora_state)) + if missing_from_merge: raise AssertionError( - "VGGT geometry keys differ between expert and merge sidecars: " - f"missing={missing_from_merge}, extra={extra_in_merge}" + "Expert tensors missing from merge sidecar: " + f"{missing_from_merge}" ) - for key in expert_geometry: - if expert_state[key].shape != non_lora_state[key].shape: + for key, expert_value in expert_state.items(): + merge_value = non_lora_state[key] + if expert_value.shape != merge_value.shape or expert_value.dtype != merge_value.dtype: + raise AssertionError( + f"Expert tensor metadata mismatch for {key}: " + f"expert={tuple(expert_value.shape)}/{expert_value.dtype}, " + f"non_lora={tuple(merge_value.shape)}/{merge_value.dtype}" + ) + if not torch.equal(expert_value, merge_value): + raise AssertionError(f"Expert tensor differs from merge sidecar: {key}") + + # The trained tokenizer is padded to 151936 rows. Verify that merge.py can + # recover the expanded vocabulary from the dense sidecar. + embedding_rows = { + int(value.shape[0]) + for key, value in non_lora_state.items() + if key.endswith(("embed_tokens.weight", "lm_head.weight")) and value.ndim == 2 + } + if embedding_rows != {151936}: + raise AssertionError(f"Unexpected Stage-B embedding rows: {sorted(embedding_rows)}") + + step_match = re.fullmatch(r"checkpoint-(\d+)", root.name) + trainer_state_path = root / "trainer_state.json" + if step_match and trainer_state_path.is_file(): + trainer_state = json.loads(trainer_state_path.read_text(encoding="utf-8")) + actual_step = int(trainer_state.get("global_step", -1)) + expected_step = int(step_match.group(1)) + if actual_step != expected_step: raise AssertionError( - f"VGGT tensor shape mismatch for {key}: " - f"expert={tuple(expert_state[key].shape)}, " - f"non_lora={tuple(non_lora_state[key].shape)}" + f"trainer_state.global_step={actual_step}, directory step={expected_step}" ) print("Stage-B checkpoint validation passed") print(f"checkpoint={root}") + print(f"config_source={config_source}") + print(f"adapter_tensors={adapter_tensors}") + print(f"expert_tensors={len(expert_state)} (all bit-identical in non_lora sidecar)") + print(f"non_lora_tensors={len(non_lora_state)}") + print(f"embedding_rows={next(iter(embedding_rows))}") print(f"geometry_tensors={len(expert_geometry)}") print( "geometry_contract=" diff --git a/code/umm/stage2_covt/validate_merged.py b/code/umm/stage2_covt/validate_merged.py new file mode 100644 index 0000000000000000000000000000000000000000..462561ab47b00f9b8981955961fd6d15e2790dd9 --- /dev/null +++ b/code/umm/stage2_covt/validate_merged.py @@ -0,0 +1,118 @@ +#!/usr/bin/env python3 +"""Validate a dense Stage-B merge against its exact PEFT checkpoint.""" + +from __future__ import annotations + +import argparse +import json +from pathlib import Path + +import torch +from safetensors import safe_open + +from merge import _normalize_non_lora_keys +from validate_checkpoint import EXPECTED_GEOMETRY + + +def _load_state(path: Path): + try: + return torch.load(path, map_location="cpu", mmap=True, weights_only=True) + except TypeError: + return torch.load(path, map_location="cpu") + + +def _merged_key_from_adapter(key: str) -> str: + if not key.endswith(".lora_A.weight"): + raise ValueError(key) + if key.startswith("base_model."): + key = key[11:] + if key.startswith("model.model."): + key = key[6:] + return key.removesuffix(".lora_A.weight") + ".weight" + + +def main() -> None: + parser = argparse.ArgumentParser() + parser.add_argument("--merged", type=Path, required=True) + parser.add_argument("--source-checkpoint", type=Path, required=True) + args = parser.parse_args() + merged = args.merged.resolve() + source = args.source_checkpoint.resolve() + + config = json.loads((merged / "config.json").read_text(encoding="utf-8")) + for key, expected in EXPECTED_GEOMETRY.items(): + if config.get(key) != expected: + raise AssertionError(f"config.{key}={config.get(key)!r}, expected {expected!r}") + if config.get("dtype") != "bfloat16": + raise AssertionError(f"Merged dtype is not bfloat16: {config.get('dtype')!r}") + if config.get("text_config", {}).get("vocab_size") != 151936: + raise AssertionError("Merged vocabulary is not 151936 rows") + + dense_source = _load_state(source / "non_lora_state_dict.bin") + normalized_source = _normalize_non_lora_keys(dense_source) + expert_source = _load_state(source / "covt_van_expert_heads_trainable.bin") + adapter_path = source / "adapter_model.safetensors" + model_path = merged / "model.safetensors" + + with safe_open(model_path, framework="pt", device="cpu") as model_file: + model_keys = set(model_file.keys()) + if model_keys != set(normalized_source): + raise AssertionError( + "Merged/source key contract differs: " + f"missing={sorted(set(normalized_source) - model_keys)[:20]}, " + f"extra={sorted(model_keys - set(normalized_source))[:20]}" + ) + if any("lora_" in key for key in model_keys): + raise AssertionError("Merged model still contains LoRA tensors") + + for source_key, expected in expert_source.items(): + normalized_key = next( + key for key, value in normalized_source.items() if value is dense_source[source_key] + ) + actual = model_file.get_tensor(normalized_key) + if not torch.equal(actual, expected.to(actual.dtype)): + raise AssertionError(f"Merged expert tensor differs: {normalized_key}") + + # Scan every tensor, not only headers, so truncated/corrupt/non-finite + # model files cannot pass this gate. + for key in sorted(model_keys): + value = model_file.get_tensor(key) + if value.numel() == 0 or not bool(torch.isfinite(value).all().item()): + raise FloatingPointError(f"Invalid merged tensor: {key}") + + with safe_open(adapter_path, framework="pt", device="cpu") as adapter_file: + probe_a_key = next( + key + for key in adapter_file.keys() + if key.endswith("language_model.layers.0.mlp.down_proj.lora_A.weight") + ) + probe_b_key = probe_a_key.replace(".lora_A.weight", ".lora_B.weight") + merged_key = _merged_key_from_adapter(probe_a_key) + source_key = next( + key + for key in dense_source + if key.endswith("language_model.layers.0.mlp.down_proj.base_layer.weight") + ) + base = dense_source[source_key] + lora_a = adapter_file.get_tensor(probe_a_key) + lora_b = adapter_file.get_tensor(probe_b_key) + actual = model_file.get_tensor(merged_key) + # adapter_config: alpha/rank = 32/16 = 2. PEFT computes the + # matmul in float32 and casts the merged result back to bfloat16. + expected = (base.float() + (lora_b.float() @ lora_a.float()) * 2.0).to(base.dtype) + if torch.equal(actual, base): + raise AssertionError("LoRA probe did not change the dense base weight") + if not torch.equal(actual, expected): + raise AssertionError("LoRA probe is not the exact expected alpha/rank merge") + + print("Merged Stage-B validation passed") + print(f"merged={merged}") + print(f"source_checkpoint={source}") + print(f"dense_tensors={len(model_keys)}") + print(f"expert_tensors={len(expert_source)} (exact)") + print(f"lora_probe={merged_key} (exact float32 delta -> bfloat16)") + print("all_tensors_finite=true") + + +if __name__ == "__main__": + main() diff --git a/configs/stage2_covt.template.yaml b/configs/stage2_covt.template.yaml index e9c7e552bc4a959b02eea2f158ec05f685e4ab3d..f6e299253f9d119ec333b5a104bba7c6173e2d02 100644 --- a/configs/stage2_covt.template.yaml +++ b/configs/stage2_covt.template.yaml @@ -74,4 +74,8 @@ training: dataloader_num_workers: 0 run_name: stage2-covt-sam-vggt-covt4-v2 report_to: swanlab + cvbench_eval_path: __UMM_ROOT__/data/cvbench_500/validation.jsonl + cvbench_eval_every_n_steps: 1000 + cvbench_eval_max_new_tokens: 64 + cvbench_eval_fail_fast: true deepspeed: __UMM_ROOT__/code/umm/runtime/deepspeed_configs/zero2.json diff --git a/configs/stage2_covt_from3k_bcd_2k.template.yaml b/configs/stage2_covt_from3k_bcd_2k.template.yaml new file mode 100644 index 0000000000000000000000000000000000000000..c5d797cc80c56fb59bfc8a4207c19024a5b086ca --- /dev/null +++ b/configs/stage2_covt_from3k_bcd_2k.template.yaml @@ -0,0 +1,82 @@ +model: + model_id: __UMM_ROOT__/models/base/Qwen3-VL-4B-Instruct + model_path: __UMM_ROOT__/models/base/Qwen3-VL-4B-Instruct + stage1_align_checkpoint: __UMM_ROOT__/checkpoints/stage1/checkpoint-32000.bin + gen_vision_tower: null + diffuser_model_id: null + down_projector_type: time_context + num_metaqueries: 256 + anchor_model_id: [sam, dino, depth, pidinet, siglip] + anchor_loss_weight: [1.0, 1.0, 1.0, 1.0, 1.0] + sam_checkpoint: __UMM_ROOT__/models/teachers/sam_vit_h_4b8939.pth + sam_model_type: vit_h + sam_num_masks: 8 + sam_points_per_side: 32 + sam_points_per_batch: 256 + sam_pred_iou_thresh: 0.88 + sam_stability_score_thresh: 0.95 + sam_min_area_ratio: 0.0025 + sam_max_area_ratio: 0.90 + sam_max_pair_iou: 0.92 + vggt_checkpoint: __UMM_ROOT__/models/teachers/VGGT-1B/model.pt + vggt_num_latent_tokens: 4 + vggt_image_size: 518 + vggt_projector_dim: 512 + vggt_max_image_context_tokens: 512 + vggt_teacher_micro_batch_size: 1 + vggt_teacher_dtype: bfloat16 + vggt_cosine_loss_weight: 0.1 + +data: + data_path: __UMM_ROOT__/data/covt/data.json + image_folder: __UMM_ROOT__/data/covt/images + lazy_preprocess: true + # Resume global_step=3000 directly into B; B/C/D each last 2,000 steps. + stage_0_step: 3000 + stage_1_step: 5000 + stage_2_step: 7000 + image_min_pixels: 200704 + image_max_pixels: 802816 + image_resized_width: 448 + image_resized_height: 448 + +training: + output_dir: __UMM_ROOT__/models/ckpts/stage2_covt_from3k_bcd_2k + bf16: true + fp16: false + freeze_llm: true + freeze_vision_tower: true + tune_merger: false + lora_enable: true + vision_lora: true + lora_rank: 16 + lora_alpha: 32 + lora_dropout: 0.01 + lora_namespan_exclude: [embed_tokens, lm_head, sam, dino, depth, vggt, geometry, pidinet, siglip] + num_lora_modules: -1 + training_stage: full + align_anchor_task_only_stage: 0 + vqa_only_stage: 9000 + max_steps: 9000 + per_device_train_batch_size: 4 + gradient_accumulation_steps: 1 + learning_rate: 5.0e-5 + projection_layer_lr: 1.0e-5 + weight_decay: 0.1 + warmup_ratio: 0.05 + lr_scheduler_type: cosine + model_max_length: 1024 + remove_unused_columns: false + gradient_checkpointing: true + logging_steps: 1 + save_strategy: steps + save_steps: 1000 + save_total_limit: 6 + dataloader_num_workers: 0 + run_name: H3_LoRA-from3k-B2k-C2k-D2k + report_to: swanlab + cvbench_eval_path: __UMM_ROOT__/data/cvbench_500/validation.jsonl + cvbench_eval_every_n_steps: 500 + cvbench_eval_max_new_tokens: 128 + cvbench_eval_fail_fast: true + deepspeed: __UMM_ROOT__/code/umm/runtime/deepspeed_configs/zero2.json diff --git a/models/ckpts/stage2_covt_from3k_bcd_2k/merged/README.md b/models/ckpts/stage2_covt_from3k_bcd_2k/merged/README.md new file mode 100644 index 0000000000000000000000000000000000000000..785608f63526b4dabbcaccc9395257e4360b7569 --- /dev/null +++ b/models/ckpts/stage2_covt_from3k_bcd_2k/merged/README.md @@ -0,0 +1,20 @@ +# Published dense checkpoints + +This directory contains inference-ready dense merges from the Stage-2 +continuation run that started at Phase-A checkpoint 3000. + +| Directory | Training state | Evaluation state | +|---|---|---| +| `checkpoint-7000-merged` | End of Phase C | Full CV-Bench, BLINK and V* results are under `reports/evaluations/checkpoint-7000/` | +| `checkpoint-9000-merged` | End of Phase D; final optimizer step | Merge and weight-integrity checks passed; full benchmarks remain to be run | + +Each model directory is self-contained for inference and includes a +`SHA256SUMS` file. Verify a download from inside that directory with: + +```bash +sha256sum -c SHA256SUMS +``` + +These dense models do not contain optimizer, scheduler, RNG, or DeepSpeed +state, so they cannot resume training. See `reports/PROGRESS_2026-08-11.md` for +the training contract, metrics, caveats, and reproduction entrypoints. diff --git a/reports/PROGRESS_2026-08-11.md b/reports/PROGRESS_2026-08-11.md new file mode 100644 index 0000000000000000000000000000000000000000..d688324af2c0b3bcbd9d9a33b1caa656c06a8326 --- /dev/null +++ b/reports/PROGRESS_2026-08-11.md @@ -0,0 +1,190 @@ +# UMM Stage-2 progress handoff — 2026-08-11 + +This document is the canonical handoff for the work completed after the initial +`Orangerl/umm` bundle was downloaded on the source machine. Paths are relative +to the repository root so the handoff remains portable. + +## Executive state + +- The original portable data bundle is unchanged: 889,489 CoVT conversations + and 756,894 source images. No dataset shard needs to be replaced. +- The Stage-2 continuation run is complete at optimizer step 9,000. +- The continuation started from the original Phase-A `checkpoint-3000` and ran + 2,000 steps for each remaining phase: + - Phase B: `[3000, 5000)` — anchor generation; + - Phase C: `[5000, 7000)` — full CoVT; + - Phase D: `[7000, 9000)` — mixed CoVT. +- Validation frequency for that run was one CV-Bench-500 evaluation every 500 + optimizer steps. Checkpoints were saved every 1,000 steps. +- Dense bfloat16 checkpoints for steps 7,000 and 9,000 are published under + `models/ckpts/stage2_covt_from3k_bcd_2k/merged/`. +- Step 7,000 has full CV-Bench, BLINK and V* evaluations. Step 9,000 has been + merged and exhaustively validated, but has not yet been benchmarked. Do not + report step 9,000 as better or worse until the same evaluation suite is run. + +## Training contract + +The active architecture remains: + +- base model: Qwen3-VL-4B-Instruct plus Stage-1 alignment checkpoint-32000; +- frozen teachers: SAM, DINOv2, VGGT, PiDiNet and SigLIP; +- visual token counts `[SAM,DINO,VGGT-depth,PiDiNet,SigLIP] = [8,4,4,4,4]`; +- `vggt_num_latent_tokens=4` and geometry target `[1374,2048]`; +- frozen Qwen language/vision towers with LoRA rank 16, alpha 32; +- bfloat16, DeepSpeed ZeRO-2, 8 GPUs, per-rank batch 4; +- deterministic, judge-free multiple-choice validation. + +The portable continuation template is +`configs/stage2_covt_from3k_bcd_2k.template.yaml`. It renders to +`configs/stage2_covt_from3k_bcd_2k.yaml` through `scripts/render_config.py`. +The original raw Phase-A checkpoint-3000 is required only if the continuation +training itself must be reproduced; the published dense 7k/9k checkpoints are +for inference and evaluation and do not contain optimizer state. + +## Published dense checkpoints + +| Checkpoint | Meaning | Validation | +|---|---|---| +| `checkpoint-7000-merged` | End of Phase C | 767 dense tensors; 54 expert tensors exact; LoRA probe exact; all finite | +| `checkpoint-9000-merged` | End of Phase D / final run state | 767 dense tensors; 54 expert tensors exact; LoRA probe exact; all finite | + +Both checkpoints have a 151,936-row vocabulary and preserve the four-token +VGGT geometry contract. Each directory includes `SHA256SUMS`. Step 9,000 was +freshly re-merged on 2026-08-11 from +`models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-9000`; the trainer state +reports `global_step=9000` and `max_steps=9000`. + +To revalidate a downloaded dense checkpoint when the corresponding raw source +checkpoint is available: + +```bash +.env/unvideo/bin/python code/umm/stage2_covt/validate_merged.py \ + --merged models/ckpts/stage2_covt_from3k_bcd_2k/merged/checkpoint-9000-merged \ + --source-checkpoint models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-9000 +``` + +Without the raw source, run `sha256sum -c SHA256SUMS` inside the merged model +directory and load it with the local CoVT runtime. + +## Main checkpoint-7000 benchmark results + +All main evaluations used 8 distributed ranks, bfloat16, greedy decoding, +deterministic option matching and no LLM judge. There were 4,730 scored samples, +zero inference errors, 100% answer parsing, and no generation hit the 256-token +cap. + +| Benchmark | Split / N | Primary result | Supplemental result | +|---|---:|---:|---:| +| CV-Bench | full test / 2,638 | **83.9596% official score** | 83.7377% micro | +| BLINK | full labelled val / 1,901 | **58.2787% 14-task macro** | 58.0747% micro | +| V* fixed 448 | core test / 191 | 53.4031% micro | 54.6110% 2-category macro | +| V* dynamic global | core test / 191 | **83.2461% micro** | 88.6957% attributes / 75.0000% spatial | +| V* oracle crop | core test / 191 | 91.6230% micro | diagnostic only; not a valid benchmark score | + +CV-Bench official components: + +| Component | Result | +|---|---:| +| ADE20K | 443/633 = 69.9842% | +| COCO | 671/805 = 83.3540% | +| Official 2D macro | 76.6691% | +| Omni3D / official 3D | 1,095/1,200 = 91.2500% | +| Official formula | `((ADE20K + COCO)/2 + Omni3D)/2 = 83.9596%` | + +BLINK task strengths include spatial relation 87.4126%, visual similarity +84.4444%, relative depth 83.8710% and jigsaw 79.3333%. The weakest tasks were +functional correspondence 24.6154%, IQ test 28.6667%, semantic correspondence +32.3741% and multi-view reasoning 37.5940%. + +## V* root-cause correction + +The original V* evaluator forced every high-resolution image to 448×448. The +191 source images average approximately 2246×1583, and the median target became +only 7.96 pixels on its shortest side. One hundred samples had a target shortest +side of at most 8 pixels. + +Controlled reruns on the same model and same questions established the cause: + +- fixed 448: 53.4031%; +- aspect-preserving dynamic input capped near 0.8MP: 83.2461% (`+29.84 pp`); +- ground-truth oracle target crop: 91.6230% (`+38.22 pp`, diagnostic only). + +The dynamic rerun corrected 62 fixed-448 errors and introduced only 5 new +errors (`McNemar p=1.42e-13`). This proves the low fixed-448 score was primarily +an evaluation-resolution failure, not the checkpoint's capability ceiling. + +Use `dynamic-global / generation-match` when reporting 83.2461%. It is not a +strict reproduction of the official V* visual-search and option-likelihood +protocol. The full diagnosis is in +`reports/evaluations/checkpoint-7000/vstar_diagnosis/VSTAR_ROOT_CAUSE_REPORT.md`. + +## Historical CV-Bench-500 results + +These results use the fixed 500-row validation subset (250 2D + 250 3D): + +| Model | Overall | 2D | 3D | +|---|---:|---:|---:| +| Raw Qwen3-VL-4B-Instruct | 68.80% | 80.40% | 57.20% | +| Qwen3-VL + Stage-1 alignment | 69.00% | 80.40% | 57.60% | +| Legacy Stage-2 checkpoint-2000 | 84.60% | 80.40% | 88.80% | +| Legacy Stage-2 checkpoint-3000 | **84.80%** | 80.00% | 89.60% | +| Legacy Stage-2 checkpoint-8000 | 83.20% | 77.60% | 88.80% | + +## Code added or changed after the original HF snapshot + +The update includes: + +- resumable Phase-B/C/D training launcher and portable config template; +- Linux process naming (`H3_LoRA*`) without breaking the packed Python prefix; +- distributed CV-Bench callback during training; +- checkpoint and dense-merge validation, including exact expert and LoRA probes; +- CV-Bench, BLINK and V* preparation/evaluation/audit scripts; +- CoVT output tracing and deterministic answer extraction; +- dynamic-resolution and oracle-crop V* diagnostic modes; +- progress, benchmark and root-cause reports. + +The data shards, base model, teachers and packed environment were not modified. +No SwanLab or Hugging Face token is committed. + +## Reproduction entrypoints + +```bash +# Deploy the complete portable bundle (always direct; no proxy). +unset http_proxy https_proxy HTTP_PROXY HTTPS_PROXY all_proxy ALL_PROXY +hf download Orangerl/umm --local-dir umm +cd umm +bash scripts/bootstrap.sh + +# Evaluate a published dense checkpoint on all prepared benchmark manifests. +MODEL_PATH="$PWD/models/ckpts/stage2_covt_from3k_bcd_2k/merged/checkpoint-7000-merged" \ + bash scripts/run_ckpt7000_three_benchmarks.sh + +# Reproduce V* resolution diagnostics. +bash scripts/run_vstar_diagnostic_sensitivity.sh +``` + +Raw benchmark files are not duplicated into the HF bundle because they are +independently versioned upstream. Prepared manifests, metrics, audits, reports +and selected logs are published under `reports/`. + +## Remaining work + +1. Run the exact same full CV-Bench, BLINK and dynamic-global V* suite on the + final 9k dense checkpoint. +2. For strict V* cross-paper comparison, implement per-option conditional NLL + and a non-oracle multi-scale search/tile pipeline. +3. Compare 7k versus 9k per sample before selecting the final paper checkpoint. +4. If training must resume beyond 9k, separately archive a raw trainer + checkpoint with optimizer/scheduler/RNG state; merged checkpoints cannot + resume DeepSpeed training. + +## Selected logs and evidence + +- `reports/logs/H3_LoRA_from3k_BCD_train.log` +- `reports/logs/H3_merge_checkpoint-7000.log` +- `reports/logs/H3_merge_checkpoint-9000.log` +- `reports/logs/H3_ckpt7000_three_benchmarks.log` +- `reports/logs/H3_hash_merged_7k_9k.log` +- `reports/logs/H3_code_upload_qa_final.log` +- `reports/evaluations/checkpoint-7000/` +- `reports/cvbench_2k_3k_8k/` diff --git a/reports/README.md b/reports/README.md new file mode 100644 index 0000000000000000000000000000000000000000..0ddab7d1fb938b4648c7c596363829ab6037bbce --- /dev/null +++ b/reports/README.md @@ -0,0 +1,10 @@ +# UMM reports index + +- [`PROGRESS_2026-08-11.md`](PROGRESS_2026-08-11.md): canonical current-state + handoff, checkpoint inventory, benchmark results and remaining work. +- `evaluations/checkpoint-7000/`: full CV-Bench, BLINK and V* metrics, audits, + per-sample outputs and V* resolution diagnosis. +- `cvbench_2k_3k_8k/`: historical CV-Bench-500 comparison and presentation + material. +- `logs/`: selected training, merge and evaluation logs. Credentials are never + included. diff --git a/reports/cvbench_2k_3k_8k/01_experiment_summary.md b/reports/cvbench_2k_3k_8k/01_experiment_summary.md new file mode 100644 index 0000000000000000000000000000000000000000..4995908db2321af38a43b5fc2a52079515730966 --- /dev/null +++ b/reports/cvbench_2k_3k_8k/01_experiment_summary.md @@ -0,0 +1,79 @@ +# Stage-2 CoVT：CV-Bench Checkpoint 对比 + +## Executive Summary + +- **checkpoint-3000 在当前固定子集上表现最好。** 总体准确率为 84.80%（424/500），比 checkpoint-2000 高 0.20 个百分点，仅多答对 1 条。 +- **checkpoint-8000 没有延续增长。** 总体准确率降至 83.20%（416/500），比 checkpoint-3000 低 1.60 个百分点；主要损失来自 2D Relation 和 3D Depth。 +- **模型在 3D 类任务上的整体表现高于 2D。** 三个 checkpoint 的 3D 准确率均为 88.8%–89.6%，2D 为 77.6%–80.4%。 +- **结果可以用于阶段性汇报，但不宜过度解读 checkpoint 排名。** 三次评测均覆盖相同的 500 条样本，解析率 100%、推理错误 0；paired McNemar 检验未发现显著差异。 + +## 三个 checkpoint 的总体表现 + +本次比较使用完全相同的 CV-Bench-500：2D 250 条、3D 250 条。模型采用 +bf16、FlashAttention 2、greedy decoding，答案通过选择题字母直接匹配，不使用 +LLM judge。 + +| Checkpoint | 正确数 | 总准确率 | 2D | 3D | 四任务宏平均 | +|---|---:|---:|---:|---:|---:| +| 2000 | 423/500 | 84.60% | **80.40%** | 88.80% | 85.11% | +| **3000** | **424/500** | **84.80%** | 80.00% | **89.60%** | **85.33%** | +| 8000 | 416/500 | 83.20% | 77.60% | 88.80% | 83.48% | + +**解读：** checkpoint-3000 是当前子集上的最佳点，但与 checkpoint-2000 基本持平。 +checkpoint-8000 的下降说明继续训练并未在所有视觉能力上产生单调收益，后续模型选择应看验证集而不是只看训练步数。 + +## 8k 的下降集中在 Relation 和 Depth + +| Checkpoint | 2D Count | 2D Relation | 3D Depth | 3D Distance | +|---|---:|---:|---:|---:| +| 2000 | 70.80% | **92.04%** | 92.00% | 85.60% | +| 3000 | 70.07% | **92.04%** | **95.20%** | 84.00% | +| 8000 | **72.26%** | 84.07% | 91.20% | **86.40%** | + +从 checkpoint-3000 到 checkpoint-8000： + +- Count 上升 2.19 个百分点； +- Distance 上升 2.40 个百分点； +- Relation 下降 7.97 个百分点； +- Depth 下降 4.00 个百分点。 + +**解读：** 8k 并非整体能力均匀退化，而是能力结构发生了变化：计数和距离判断略有改善，空间关系与深度判断明显下降。这提示后续训练可能需要监控不同任务之间的权衡。 + +## 样本级比较显示差异有限 + +| 对比 | 后者新答对 | 后者新答错 | 净变化 | 总准确率变化 | Paired p-value | +|---|---:|---:|---:|---:|---:| +| 2k → 3k | 9 | 8 | +1 | +0.20 pp | 1.000 | +| 2k → 8k | 11 | 18 | -7 | -1.40 pp | 0.265 | +| 3k → 8k | 13 | 21 | -8 | -1.60 pp | 0.229 | + +**解读：** 3k 与 2k 的结果几乎等价；8k 的净下降值得关注，但在 500 条样本下尚未达到统计显著。当前证据适合确定“优先继续研究 3k”，不适合声称“3k 在完整 CV-Bench 上确定优于其他 checkpoint”。 + +## 建议的下一步 + +1. **当前候选模型优先使用 checkpoint-3000。** 它在总体准确率、3D 和四任务宏平均上均为当前最佳。 +2. **将 Relation 和 Depth 设为后续训练监控项。** 尤其关注 3k 之后是否出现持续下降，以及是否与课程阶段或数据配比有关。 +3. **最终模型选择前扩大验证样本。** 可以使用更大的固定子集或完整 CV-Bench，确认 1–2 个百分点的差异是否稳定。 +4. **保留多 checkpoint early-stopping 策略。** 当前结果已经表明“更晚 checkpoint”不等于“更优验证表现”。 + +## 进一步问题 + +- 3k 到 8k 之间的 Relation/Depth 下降从哪个具体训练阶段开始？ +- 下降是否集中于某些图像来源、答案位置或场景类型？ +- 使用完整 benchmark 后，3k 的领先是否仍然存在？ + +## 限制与假设 + +- 本结果来自固定 CV-Bench-500，而非完整 CV-Bench；2D/3D 各 250 条。 +- 2D 内部 Count 137 条、Relation 113 条，因此总体准确率是样本微平均；四任务宏平均另行报告。 +- 所有 checkpoint 使用同一数据、提示、处理器、生成参数与 matcher，横向比较口径一致。 +- 结果是选择题 exact match，不评估开放式回答质量，也不使用 LLM judge。 + +## 结果入口 + +- [完整对比结果](../../outputs/evals/cvbench/checkpoint-comparison-2000-3000-8000.json) +- [2k 验证报告](../../outputs/evals/cvbench/stage2_covt_sam_vggt_covt4_v2-checkpoint-2000/validation_report.json) +- [3k 验证报告](../../outputs/evals/cvbench/stage2_covt_sam_vggt_covt4_v2-checkpoint-3000/validation_report.json) +- [8k 验证报告](../../outputs/evals/cvbench/stage2_covt_sam_vggt_covt4_v2-checkpoint-8000/validation_report.json) +- SwanLab：[2k](https://swanlab.cn/@Oranger/unified-model/runs/b6e8mzzs) · [3k](https://swanlab.cn/@Oranger/unified-model/runs/vxdbj1r3) · [8k](https://swanlab.cn/@Oranger/unified-model/runs/keobxg3o) + diff --git a/reports/cvbench_2k_3k_8k/02_text_output_cases.md b/reports/cvbench_2k_3k_8k/02_text_output_cases.md new file mode 100644 index 0000000000000000000000000000000000000000..65d33fb86cde1dd2188ba98aaab7d9fed9332bc1 --- /dev/null +++ b/reports/cvbench_2k_3k_8k/02_text_output_cases.md @@ -0,0 +1,162 @@ +# 可观测推理轨迹与真实 Case + +## 结论先行 + +- 本文记录的是 checkpoint-3000 在 CV-Bench 上**实际发射的逐 token 轨迹**，包括 token ID、条件概率和 top 候选；不是只展示最终 answer。 +- 当前评测提示下，模型没有生成 ``、`` 或任何 CoVT anchor token。原始解码（`skip_special_tokens=False`）确认它直接生成 `(选项) 内容` 后结束。 +- 即使加入项目 `CoVTVan.tokenize_fn` 中定义的完整 CoVT 格式要求，模型仍直接生成 `The answer is ...`，没有进入训练模板期望的视觉 CoT。 +- 因此，现阶段不能对外展示一段自然语言或 anchor 序列并称其为该模型的真实推理过程。可严谨汇报的轨迹是下列自回归 token 决策序列。 + +> 口径说明：本文的“轨迹”指输出层可观测的 emitted-token trajectory。它不能还原模型隐藏状态中的因果推理，也不把事后编写的解释冒充内部思考。 + +## 采集条件 + +| 项目 | 设置 | +|---|---| +| 模型 | checkpoint-3000 merged | +| 数据 | 固定 CV-Bench-500 中的代表样本 | +| 精度 | bfloat16 | +| Attention | FlashAttention 2 | +| 解码 | greedy，`do_sample=False` | +| 轨迹内容 | 原始 special-token decode、逐步 token ID、selected probability、top-5 | +| 当前评测提示 | 原题后追加 `Return the selected option in tags...` | +| CoVT 格式提示 | 与 `CoVTVan.tokenize_fn` 内的 wrapper 保持一致 | + +概率是每一步在当前前缀条件下对词表 logits 做 softmax 后的值。它是 token 概率，不等同于经过所有可能文本格式归并后的“选项概率”。 + +## Case 1：正确的 3D Depth 判断 + +样本：`3D-058`；标准答案：B（printer）；预测：B。 + +![3D-058](../../data/cvbench_500/images/3D_058_row0252.jpg) + +问题：bin（红框）和 printer（蓝框）哪一个更靠近相机？ + +原始生成序列： + +```text +(B) printer +<|im_end|> +``` + +逐 token 轨迹： + +| 步 | token ID | 实际发射 | 条件概率 | 主要候选 | +|---:|---:|---|---:|---| +| 1 | 5349 | `(B` | 65.0142% | `(B` 65.0142%；`(A` 34.7996% | +| 2 | 8 | `)` | 99.9289% | `)` 99.9289%；`)\n` 0.0710% | +| 3 | 22380 | ` printer` | 99.9947% | ` printer` 99.9947%；` bin` 0.0009% | +| 4 | 198 | `\n` | 99.9363% | `\n` 99.9363%；`<|im_end|>` 0.0626% | +| 5 | 151645 | `<|im_end|>` | 97.5117% | `<|im_end|>` 97.5117%；`<|endoftext|>` 2.2933% | + +解读：决定答案的主要分叉发生在第 1 步：B 为 65.01%，A 仍有 34.80%。选定 B 后，后续 `printer` 基本是确定性的格式与选项文本补全。这是一个可观察的决策轨迹，但没有显式 rationale。 + +## Case 2：高置信度但错误的 3D Distance 判断 + +样本：`3D-158`；标准答案：B（table）；预测：A（bookcase）。 + +![3D-158](../../data/cvbench_500/images/3D_158_row0746.jpg) + +问题：bookcase（蓝框）和 table（绿框）哪一个更靠近 books？ + +原始生成序列： + +```text +(A) bookcase +<|im_end|> +``` + +逐 token 轨迹： + +| 步 | token ID | 实际发射 | 条件概率 | 主要候选 | +|---:|---:|---|---:|---| +| 1 | 4346 | `(A` | 82.3289% | `(A` 82.3289%；`(B` 16.2115% | +| 2 | 8 | `)` | 99.9840% | `)` 99.9840%；`)\n` 0.0158% | +| 3 | 2311 | ` book` | 99.9966% | ` book` 99.9966%；`book` 0.0011% | +| 4 | 5638 | `case` | 100.0000% | `case` 100.0000% | +| 5 | 198 | `\n` | 99.8066% | `\n` 99.8066%；`<|im_end|>` 0.1927% | +| 6 | 151645 | `<|im_end|>` | 97.8663% | `<|im_end|>` 97.8663%；`<|endoftext|>` 2.0311% | + +解读：错误在第 1 步已经形成，而且模型对错误的 A 明显偏向。后续 token 只是把 A 对应的 `bookcase` 补全，不能视为纠错或几何推理过程。 + +## Case 3：正确计数，但首 token 存在格式竞争 + +样本：`2D-002`；标准答案：C（2）；预测：C。 + +![2D-002](../../data/cvbench_500/images/2D_002_row0023.jpg) + +问题：图中有多少个 curtains？ + +原始生成序列： + +```text +(C) 2 +<|im_end|> +``` + +逐 token 轨迹： + +| 步 | token ID | 实际发射 | 条件概率 | 主要候选 | +|---:|---:|---|---:|---| +| 1 | 3025 | `(C` | 44.2959% | `(C` 44.2959%；`(B` 23.7099%；`` 11.9221%；`(A` 10.5212%；`C` 0.5936% | +| 2 | 8 | `)` | 99.7525% | `)` 99.7525%；`)\n` 0.2473% | +| 3 | 220 | 空格 | 99.9996% | 空格 99.9996% | +| 4 | 17 | `2` | 99.9985% | `2` 99.9985%；`1` 0.0006%；`3` 0.0004% | +| 5 | 198 | `\n` | 99.9958% | `\n` 99.9958%；`<|im_end|>` 0.0040% | +| 6 | 151645 | `<|im_end|>` | 96.2034% | `<|im_end|>` 96.2034%；`<|endoftext|>` 3.2919% | + +解读：第 1 步既包含答案竞争，也包含输出格式竞争，例如 `(C` 与裸 `C` 是同一答案的不同字符串路径。因此不能直接把 44.30% 当作归并后的答案 C 概率。 + +## Case 4：显式要求 CoVT 后的真实轨迹 + +样本仍使用 `3D-058`。提示词明确要求： + +```text +output your reasoning process within tags ... +include ... <|dino_pad|>, <|depth_pad|>, <|pidinet_pad|>, and <|siglip_pad|> ... +``` + +模型实际仍生成： + +```text +The answer is B +<|im_end|> +``` + +逐 token 轨迹： + +| 步 | token ID | 实际发射 | 条件概率 | 主要候选 | +|---:|---:|---|---:|---| +| 1 | 785 | `The` | 74.9403% | `The` 74.9403%；`Based` 6.1515%；`To` 2.5643%；`I` 2.2630%；`First` 1.9971% | +| 2 | 4226 | ` answer` | 59.3041% | ` answer` 59.3041%；` image` 21.8168%；` user` 3.3457%；` reasoning` 2.2995% | +| 3 | 374 | ` is` | 97.9204% | ` is` 97.9204%；` should` 0.9600% | +| 4 | 425 | ` B` | 51.6459% | ` B` 51.6459%；` A` 31.3248%；` (` 16.7670% | +| 5 | 198 | `\n` | 94.5593% | `\n` 94.5593%；`<|im_end|>` 2.5199% | +| 6 | 151645 | `<|im_end|>` | 92.7612% | `<|im_end|>` 92.7612%；`<|endoftext|>` 5.2332% | + +这里没有 ``、``、`<|anchor_start|>`、SAM、DINO、depth、PiDiNet 或 SigLIP token。由于采集使用 `skip_special_tokens=False`，这不是“special token 被解码器隐藏”的结果，而是模型根本没有发射这些 token。 + +## 训练目标与当前推理的差异 + +训练数据构造代码期望类似： + +```text + + <|anchor_start|><|depth_pad|>...<|anchor_end|> + Using the 3D geometry above, ... + <|anchor_start|><|sam_pad|>...<|anchor_end|> + ... + +最终回答 +``` + +其中 token 数设计为 SAM=8、DINO=4、VGGT/depth=4、PiDiNet=4、SigLIP=4。但本次真实推理轨迹没有触发该输出结构。这一观察修正了此前“CoVT token 已生成、只是被 `skip_special_tokens=True` 隐藏”的推断。 + +目前能支持的结论是：模型在 CV-Bench 上有较高的选择题准确率，但**尚不能从当前生成行为证明它在推理时显式执行并输出了训练模板定义的视觉 CoT**。若汇报重点是可解释轨迹，下一步应单独修复/验证 CoVT 格式遵循，再重新评测答案准确率与轨迹完整率。 + +## 原始轨迹与复现入口 + +- [当前 eval 与原题提示两种轨迹（JSON）](../../outputs/inference_traces/cvbench/checkpoint-3000/cases.json) +- [显式 CoVT 格式提示轨迹（JSON）](../../outputs/inference_traces/cvbench/checkpoint-3000/covt_cases.json) +- [轨迹采集脚本](../../scripts/trace_cvbench_cases.py) +- [checkpoint-3000 的 500 条最终评测结果](../../outputs/evals/cvbench/stage2_covt_sam_vggt_covt4_v2-checkpoint-3000/results.jsonl) diff --git a/reports/cvbench_2k_3k_8k/03_methodology_and_validation.md b/reports/cvbench_2k_3k_8k/03_methodology_and_validation.md new file mode 100644 index 0000000000000000000000000000000000000000..4223dfb3fb5d4918ce8916ead7d70a7c1755147a --- /dev/null +++ b/reports/cvbench_2k_3k_8k/03_methodology_and_validation.md @@ -0,0 +1,151 @@ +# 评测方法与可信度说明 + +## Technical Summary + +checkpoint-2000、checkpoint-3000 和 checkpoint-8000 均使用同一 merge 实现、同一 +CV-Bench-500 数据、同一 8 卡推理配置与同一 exact-match 评分器。三个结果都通过了 +checkpoint sidecar 检查、merged tensor 检查、逐样本覆盖检查和独立指标复算，可以在 +“固定 500 条子集”的范围内进行公平横向比较。 + +## 模型合并 + +三个 checkpoint 均合并为 bf16 safetensors，保存在： + +```text +models/ckpts/stage2_covt_sam_vggt_covt4_v2/checkpoint-2000-merged/ +models/ckpts/stage2_covt_sam_vggt_covt4_v2/checkpoint-3000-merged/ +models/ckpts/stage2_covt_sam_vggt_covt4_v2/checkpoint-8000-merged/ +``` + +每个模型约 8.4 GB，验证内容包括： + +- 767 个 dense tensor 均存在且 finite； +- 54 个视觉 expert tensor 与源 checkpoint 精确一致； +- 词表 embedding rows 为 151936； +- VGGT 几何契约为 4 latent tokens → `[1374, 2048]`； +- LoRA 探针严格符合 `base + (B @ A) × (alpha / rank)`； +- merged 文件中不再残留 LoRA tensor； +- 模型、配置、处理器和 merge metadata 均有 SHA256 校验。 + +模型 SHA256： + +| Checkpoint | model.safetensors SHA256 | +|---|---| +| 2k | `c0a006c4994a2b92436f5770fdb50bfa198bb417c17896fdf1beb862cd8a76af` | +| 3k | `1edbce69803abaa7438bb53085b2b985370ecf1cd8ea0216dc2410279a03cca2` | +| 8k | `56cb46a74549fa33b0c479eccd31ce5cbcde826cf0dde3a00b4462d18d64f282` | + +## 验证集 + +数据来源为 `nyu-visionx/CV-Bench`，固定 commit： + +```text +bc284db50d036958861cb60cdd7b77612052ce0d +``` + +抽样 seed 为 42，按 task 比例分层、无放回抽样，并保证图片字节唯一。 + +| 分组 | 样本数 | +|---|---:| +| 2D / Count | 137 | +| 2D / Relation | 113 | +| 3D / Depth | 125 | +| 3D / Distance | 125 | +| 总计 | 500 | + +选择指纹： + +```text +da5ca19b4a65b4df7f45bea069db43c76e48d9a33adc5a224d1abc64dfce1b92 +``` + +质量检查确认：500 个 sample ID 唯一、500 份图片字节唯一、所有图片可解码且尺寸与 +manifest 一致、所有答案均落在对应 choices 范围内。 + +## 推理与评分配置 + +| 项目 | 配置 | +|---|---| +| GPU | 8×NVIDIA H200 | +| 精度 | bfloat16 | +| Attention | FlashAttention 2 | +| 解码 | greedy，`do_sample=False` | +| 最大生成长度 | 64 tokens | +| 数据分片 | 8 rank，按 `records[rank::world_size]` | +| 评分 | 选择题字母 deterministic exact match | +| LLM judge | 不使用 | +| SwanLab project | `unified-model` | + +每个 rank 将结果持续写入独立 JSONL shard；rank 0 汇总 500 条结果并写出 +`results.jsonl`、`metrics.json` 和 SwanLab run。该设计保证即使中断，也能检查已完成的样本。 + +## 指标复核 + +独立验证脚本不信任汇总指标，而是从 manifest 和 500 条结果重新计算： + +- sample ID 一一覆盖； +- expected 与源 answer 一致； +- predicted 位于合法 choices； +- correct 等于 `predicted == expected`； +- 8 个 rank shard 的并集等于最终结果； +- 总体、2D、3D、各 task 和宏平均均按原始分子/分母复算； +- SwanLab run ID 存在且上传无错误。 + +三个 checkpoint 的复核状态均为 `ready_to_share`，解析率均为 100%，推理错误均为 0。 + +## 复现命令 + +合并指定 checkpoint： + +```bash +MODEL_PATH="$PWD/outputs/stage2_covt_sam_vggt_covt4_v2/checkpoint-3000" \ +SAVE_MODEL_PATH="$PWD/models/ckpts/stage2_covt_sam_vggt_covt4_v2/checkpoint-3000-merged" \ +DTYPE=bfloat16 DEVICE_MAP=cpu \ + bash code/umm/stage2_covt/run_merge.sh +``` + +8 卡评测： + +```bash +CHECKPOINT_STEP=3000 MASTER_PORT=29630 bash scripts/eval_cvbench_8gpu.sh +``` + +独立复算： + +```bash +.env/unvideo/bin/python scripts/validate_cvbench_results.py \ + --dataset-dir data/cvbench_500 \ + --eval-dir outputs/evals/cvbench/stage2_covt_sam_vggt_covt4_v2-checkpoint-3000 +``` + +跨 checkpoint 比较： + +```bash +.env/unvideo/bin/python scripts/compare_cvbench_results.py \ + --eval-root outputs/evals/cvbench \ + --steps 2000 3000 8000 \ + --output outputs/evals/cvbench/checkpoint-comparison-2000-3000-8000.json +``` + +## 限制 + +- 这是固定 CV-Bench-500 子集，不代表完整 benchmark 的最终排名。 +- 样本量不足以证明 0.2–1.6 个百分点的 checkpoint 差异具有统计显著性。 +- 选择题 exact match 只衡量选项正确性，不衡量回答解释质量。 +- 常规评测结果使用 `skip_special_tokens=True`，只保存用户可见 continuation。为验证是否确有 + special token 被隐藏，另行使用 `skip_special_tokens=False` 和 `output_scores=True` 采集了 + checkpoint-3000 的逐 token 轨迹；结果显示模型没有发射 `` 或 CoVT anchor token。 +- 轨迹采集覆盖代表性 case，不等同于对全部 500 条样本的 CoVT 格式遵循率审计。 + +## 审计入口 + +- [部署说明](../../DEPLOYMENT_LOCAL.md) +- [2k merge metadata](../../models/ckpts/stage2_covt_sam_vggt_covt4_v2/checkpoint-2000-merged/MERGE_METADATA.json) +- [3k merge metadata](../../models/ckpts/stage2_covt_sam_vggt_covt4_v2/checkpoint-3000-merged/MERGE_METADATA.json) +- [8k merge metadata](../../models/ckpts/stage2_covt_sam_vggt_covt4_v2/checkpoint-8000-merged/MERGE_METADATA.json) +- [评测入口脚本](../../scripts/eval_cvbench_8gpu.sh) +- [结果验证脚本](../../scripts/validate_cvbench_results.py) +- [跨 checkpoint 比较脚本](../../scripts/compare_cvbench_results.py) +- [逐 token 轨迹采集脚本](../../scripts/trace_cvbench_cases.py) +- [代表性样本轨迹](../../outputs/inference_traces/cvbench/checkpoint-3000/cases.json) +- [显式 CoVT 提示轨迹](../../outputs/inference_traces/cvbench/checkpoint-3000/covt_cases.json) diff --git a/reports/cvbench_2k_3k_8k/04_presentation_talking_points.md b/reports/cvbench_2k_3k_8k/04_presentation_talking_points.md new file mode 100644 index 0000000000000000000000000000000000000000..13f5591c22b2ce03284f0906552bdabba1b7bdd2 --- /dev/null +++ b/reports/cvbench_2k_3k_8k/04_presentation_talking_points.md @@ -0,0 +1,79 @@ +# CV-Bench 实验口头汇报提纲 + +## 一分钟版本 + +我们对 Stage-2 CoVT 的 2k、3k 和 8k 三个 checkpoint 做了统一的 CV-Bench +评测。为了控制成本，使用固定的 500 条验证集，其中 2D 和 3D 各 250 条，三个模型 +使用完全相同的 8 卡 greedy 推理和选择题 exact-match 评分。 + +结果上，3k 最好，总准确率 84.8%；2k 为 84.6%，两者基本持平；8k 降到 +83.2%。8k 的下降主要发生在 2D 空间关系和 3D 深度判断，而 Count 和 Distance +反而略有提升。这说明训练继续进行时，不同视觉能力之间可能存在权衡，验证性能并不是 +随 step 单调上升。 + +目前建议将 3k 作为优先候选，同时扩大验证规模，并重点追踪 Relation 和 Depth，避免 +只按照训练步数选择最终模型。 + +## 三分钟版本 + +### 1. 实验目的 + +这次实验主要回答两个问题：第一，Stage-2 模型在 CV-Bench 的 2D 和 3D 任务上达到 +什么水平；第二，随着训练从 2k 进行到 3k 和 8k，能力是否持续提升。 + +### 2. 评测设计 + +我们从 CV-Bench 固定抽取了 500 条数据，2D 和 3D 各 250 条。2D 包括 Count 和 +Relation，3D 包括 Depth 和 Distance。三个 checkpoint 使用完全相同的数据、提示、 +处理器和生成参数，答案直接匹配选项字母，不使用 LLM judge，因此横向对比口径一致。 + +### 3. 主要结果 + +2k 总准确率是 84.6%，3k 是 84.8%，8k 是 83.2%。当前最高点是 3k，但它只比 +2k 多答对 1 条，所以两者可以认为非常接近。8k 相比 3k 少答对 8 条，下降 1.6 个 +百分点。 + +分任务看，3k 的 3D Depth 达到 95.2%，是三个 checkpoint 中最高的。8k 的 Count +和 Distance 有小幅提升，但 Relation 从 92.0% 降到 84.1%，Depth 从 95.2% 降到 +91.2%，最终拉低了整体结果。 + +### 4. 如何理解 + +这个结果说明更长训练并不一定带来所有能力的同步提升。8k 的变化更像能力结构重新分配， +而不是简单的整体变差。另一方面，固定验证集只有 500 条，paired 检验没有达到显著性， +所以当前结论应表述为“3k 在该固定子集上最好”，不能直接外推到完整 CV-Bench。 + +### 5. 建议 + +短期将 3k 作为候选模型；训练侧继续监控 Relation 和 Depth；最终定版前扩大验证集， +并保留多 checkpoint 比较与 early stopping，而不是默认选择最后一个 checkpoint。 + +## 常见问题与建议回答 + +### 为什么不用完整 CV-Bench？ + +完整 benchmark 成本较高，本轮目标是快速、稳定地比较 checkpoint，因此采用固定的 +500 条分层子集。所有模型使用同一批样本，适合做相对比较，但最终对外报告仍应补充更大规模验证。 + +### 为什么 8k 反而更差？ + +8k 不是所有任务都差。Count 和 Distance 有提升，但 Relation 和 Depth 的下降更大， +说明不同视觉能力可能在后续训练阶段发生权衡。需要结合课程阶段、数据配比和中间 checkpoint +进一步定位，而不能仅凭本次结果断定过拟合原因。 + +### 3k 是否显著优于 2k？ + +不是。3k 只多答对 1 条，paired p-value 为 1.0。当前可以把 3k 作为数值最优候选， +但不能声称它在统计意义上优于 2k。 + +### 模型实际输出什么？ + +绝大多数样本输出 `(选项字母) 选项内容`，例如 `(B) printer`。训练目标中的 +`` 和视觉 anchor token 并非只是被当前解码隐藏：我们对 3k 代表样本做了 +`skip_special_tokens=False` 的逐 token 审计，模型实际没有发射它们。即使显式要求 CoVT +格式，模型也直接输出 `The answer is ...`。因此当前可汇报的是答案 token 的自回归轨迹， +不能声称已经观测到显式视觉 CoT；三个 checkpoint 的选项解析率仍均为 100%。 + +### 评测是否使用 LLM judge？ + +没有。CV-Bench 全部是选择题，评测器直接提取选项字母并与标签比较，结果确定、可复现。 diff --git a/reports/cvbench_2k_3k_8k/05_base_baseline_comparison.md b/reports/cvbench_2k_3k_8k/05_base_baseline_comparison.md new file mode 100644 index 0000000000000000000000000000000000000000..5448597752ca528ac051a9eb1386d4ec52d48899 --- /dev/null +++ b/reports/cvbench_2k_3k_8k/05_base_baseline_comparison.md @@ -0,0 +1,71 @@ +# CV-Bench 原始 Base 与 Stage-1 Alignment 基线 + +## 结论 + +在固定 CV-Bench-500 上，`Qwen3-VL-4B-Instruct + Stage-1 alignment +checkpoint-32000` 得到 **69.00%（345/500）**，原始 +`Qwen3-VL-4B-Instruct` 得到 **68.80%（344/500）**。对齐版仅高 0.20 个 +百分点；两次推理有 499/500 条生成序列完全一致，因此 Stage-1 alignment 对本次 +图像理解选择题的影响可以视为极小。 + +## 严格对照结果 + +| 模型 | 正确数 | 总准确率 | 2D | 3D | 解析率 | 推理错误 | +|---|---:|---:|---:|---:|---:|---:| +| 原始 Qwen3-VL-4B-Instruct | 344/500 | 68.80% | 80.40% | 57.20% | 88.40% | 0 | +| Qwen3-VL-4B-Instruct + Stage-1 alignment-32000 | 345/500 | 69.00% | 80.40% | 57.60% | 88.60% | 0 | + +| 模型 | 2D Count | 2D Relation | 3D Depth | 3D Distance | +|---|---:|---:|---:|---:| +| 原始 Qwen | 70.80% | 92.04% | 78.40% | 36.00% | +| Stage-1 alignment | 70.80% | 92.04% | 78.40% | 36.80% | + +两者的 2D Count、2D Relation 和 3D Depth 完全相同。唯一的分数差异来自 +3D Distance 的 1 条样本。 + +## 唯一发生变化的样本 + +`3D-176` 的标准答案为 A： + +- Stage-1 alignment 输出完成了 `(A)`，计为正确； +- 原始 Qwen 的回答在解释过程中触及 64-token 上限，尚未输出选项，因此 matcher + 无法解析并计为错误。 + +这说明 +0.20 pp 更接近扩展词表/lm-head 后造成的生成长度与格式边界变化，不能据此 +声称 Stage-1 alignment 显著提升了 CV-Bench 视觉理解能力。 + +## 与 Stage-2 checkpoint 的位置关系 + +| 模型 | 总准确率 | 相对 Stage-1 alignment | +|---|---:|---:| +| 原始 Qwen | 68.80% | -0.20 pp | +| Stage-1 alignment-32000 | 69.00% | 基线 | +| Stage-2 checkpoint-2000 | 84.60% | +15.60 pp | +| Stage-2 checkpoint-3000 | **84.80%** | **+15.80 pp** | +| Stage-2 checkpoint-8000 | 83.20% | +14.20 pp | + +Stage-2 的主要增益来自 3D：checkpoint-3000 的 3D 准确率为 89.60%，相比 +Stage-1 alignment 的 57.60% 高 32.00 pp；2D 则为 80.00% vs 80.40%，基本持平。 + +## 复现实验口径 + +- 数据：固定 CV-Bench-500，2D/3D 各 250 条；选择指纹 + `da5ca19b4a65b4df7f45bea069db43c76e48d9a33adc5a224d1abc64dfce1b92`。 +- 推理：8×H200 共享运行，bf16、FlashAttention 2、greedy decoding、最多 64 + 个新 token。 +- 评分：选择题字母 deterministic exact match，不使用 LLM judge。 +- Stage-1 对齐版：词表从 151669 扩至 151927，恢复 checkpoint 中全部 258 个 + input-embedding 与 lm-head 行。图像生成 down-projector 未实例化，因为 + CV-Bench 不调用图像生成分支。 +- 原始 base：不扩词表，不加载 Stage-1 checkpoint。 +- 两个结果均通过 500 个 sample ID、500 份唯一图片、8 个 rank shard、答案标签、 + correct 标志和汇总指标的独立复算，状态均为 `ready_to_share`。 + +## 结果入口 + +- [基线对比 JSON](../../outputs/evals/cvbench/base-comparison-stage1-aligned-vs-raw.json) +- [Stage-1 alignment 指标](../../outputs/evals/cvbench/stage1-base-qwen3vl4b/metrics.json) +- [Stage-1 alignment 审计报告](../../outputs/evals/cvbench/stage1-base-qwen3vl4b/validation_report.json) +- [原始 Qwen 指标](../../outputs/evals/cvbench/qwen3vl4b-instruct-raw/metrics.json) +- [原始 Qwen 审计报告](../../outputs/evals/cvbench/qwen3vl4b-instruct-raw/validation_report.json) +- SwanLab：[Stage-1 alignment](https://swanlab.cn/@Oranger/unified-model/runs/mwbu5w3h) · [原始 Qwen](https://swanlab.cn/@Oranger/unified-model/runs/7sicgze8) diff --git a/reports/cvbench_2k_3k_8k/README.md b/reports/cvbench_2k_3k_8k/README.md new file mode 100644 index 0000000000000000000000000000000000000000..e764170595c5db4d849a41233a0e0e94ac8bb93c --- /dev/null +++ b/reports/cvbench_2k_3k_8k/README.md @@ -0,0 +1,28 @@ +# CV-Bench 2k/3k/8k 汇报材料 + +本目录整理了 Stage-2 CoVT checkpoint-2000、checkpoint-3000 和 +checkpoint-8000 在固定 CV-Bench-500 子集上的实验结果，生成日期为 2026-08-09。 + +## 文档目录 + +1. [实验结果汇报](01_experiment_summary.md)：适合作为正式汇报正文，包含总体结论、分任务结果、趋势解释和限制。 +2. [可观测推理轨迹与真实案例](02_text_output_cases.md)：展示 checkpoint-3000 的逐 token 生成概率，并审计 CoVT trace 是否实际出现。 +3. [评测方法与可信度说明](03_methodology_and_validation.md)：记录 merge、数据、推理配置、验证项和复现命令。 +4. [口头汇报提纲](04_presentation_talking_points.md)：提供一分钟版、三分钟版和建议回答。 +5. [原始 Base 与 Stage-1 Alignment 基线](05_base_baseline_comparison.md)：给出两个训练前基线的严格对照、唯一差异样本及其与 Stage-2 checkpoint 的增益关系。 + +## 一句话结论 + +在同一个固定 CV-Bench-500 子集上，checkpoint-3000 取得当前最高总体准确率 +84.80%（424/500）；checkpoint-8000 降至 83.20%（416/500），主要下降发生在 +2D Relation 和 3D Depth，但受 500 条样本规模限制，checkpoint 间差异尚不显著。 + +## 权威结果文件 + +- [三 checkpoint 对比 JSON](../../outputs/evals/cvbench/checkpoint-comparison-2000-3000-8000.json) +- [checkpoint-2000 指标](../../outputs/evals/cvbench/stage2_covt_sam_vggt_covt4_v2-checkpoint-2000/metrics.json) +- [checkpoint-3000 指标](../../outputs/evals/cvbench/stage2_covt_sam_vggt_covt4_v2-checkpoint-3000/metrics.json) +- [checkpoint-8000 指标](../../outputs/evals/cvbench/stage2_covt_sam_vggt_covt4_v2-checkpoint-8000/metrics.json) +- [checkpoint-3000 推理轨迹](../../outputs/inference_traces/cvbench/checkpoint-3000/cases.json) +- [checkpoint-3000 CoVT 格式轨迹](../../outputs/inference_traces/cvbench/checkpoint-3000/covt_cases.json) +- [Base 基线对比 JSON](../../outputs/evals/cvbench/base-comparison-stage1-aligned-vs-raw.json) diff --git a/reports/cvbench_2k_3k_8k/SHA256SUMS b/reports/cvbench_2k_3k_8k/SHA256SUMS new file mode 100644 index 0000000000000000000000000000000000000000..d21b058f0d181235b9c67e16cf130c0102df65de --- /dev/null +++ b/reports/cvbench_2k_3k_8k/SHA256SUMS @@ -0,0 +1,6 @@ +8390855e1e9ed232c5411e366b5f824984e3065ec36145783a4b3bfa82dbfee0 README.md +f9712f4adccfab30ad0b3c1f841b4b4614e138bf93af586a8d8bfd67bf724f5d 01_experiment_summary.md +36beb0f71ad4868151a944d61891ef4aca27fcdbc048c0409606c57339060553 02_text_output_cases.md +4a318aca15bc7835e3a104d4d84c9bfb0d370ce3030e5b48297a2140192b2dfa 03_methodology_and_validation.md +34fa57ac5c436611bd91437243c34047c37b9d80479506b4c1d574d516c9d6f8 04_presentation_talking_points.md +00ee1e0a3c6b2071fbfe77eef50aa67938abc3e8e1751f47be7190fa4ba683b7 05_base_baseline_comparison.md diff --git a/reports/evaluations/checkpoint-7000/REPORT.md b/reports/evaluations/checkpoint-7000/REPORT.md new file mode 100644 index 0000000000000000000000000000000000000000..0087a0cd21e5bff09e3b590316e1be2f4223217b --- /dev/null +++ b/reports/evaluations/checkpoint-7000/REPORT.md @@ -0,0 +1,110 @@ +# checkpoint-7000 三项视觉 Benchmark 评测报告 + +生成日期：2026-08-10（UTC） + +## 模型与评测设置 + +- 源 checkpoint：`models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-7000` +- merged 模型：`models/ckpts/stage2_covt_from3k_bcd_2k/merged/checkpoint-7000-merged` +- merge 校验：767 个 dense tensors、54 个 expert tensors 精确通过；LoRA float32 delta 到 bfloat16 探针精确通过；全部 tensors 为有限值。 +- 硬件：8 × NVIDIA H200；每个 benchmark 使用 8 个 distributed ranks。 +- 推理：bfloat16、FlashAttention-2、greedy decoding、`max_new_tokens=256`。 +- 输出：完整保留 `raw_response`、CoVT anchor、token IDs、预测选项和逐条错误。 +- 评分：确定性选项字母 exact match；不使用 LLM judge。 +- 完整性：共 4,730 条，0 inference error，100% option parse rate，0 条命中 256-token 截断上限。 + +## 主结果 + +| Benchmark | Split / 样本数 | 主结果 | 补充口径 | +|---|---:|---:|---:| +| CV-Bench | full test / 2,638 | **83.9596% 官方分数** | 83.7377% micro accuracy | +| BLINK | full val / 1,901 | **58.2787% 14-task macro** | 58.0747% micro accuracy | +| VStar | full test / 191 | **53.4031% micro accuracy** | 54.6110% 2-category macro | + +BLINK 的公开 test 共 1,907 条，但答案字段为 `hidden`，无法在本地得到真实准确率。因此本报告使用官方完整、有标签的 val 1,901 条；没有抽样。 + +## CV-Bench + +官方公式：`((ADE20K accuracy + COCO accuracy) / 2 + Omni3D accuracy) / 2`。 + +| 分项 | Correct / Samples | Accuracy | +|---|---:|---:| +| ADE20K | 443 / 633 | 69.9842% | +| COCO | 671 / 805 | 83.3540% | +| Official 2D（ADE/COCO macro） | — | 76.6691% | +| Omni3D / Official 3D | 1,095 / 1,200 | 91.2500% | +| **Official CV-Bench** | — | **83.9596%** | +| All-sample micro | 2,209 / 2,638 | 83.7377% | + +按任务： + +| Task | Correct / Samples | Accuracy | +|---|---:|---:| +| Count | 532 / 788 | 67.5127% | +| Relation | 582 / 650 | 89.5385% | +| Depth | 569 / 600 | 94.8333% | +| Distance | 526 / 600 | 87.6667% | + +## BLINK + +| Task | Correct / Samples | Accuracy | +|---|---:|---:| +| Art Style | 88 / 117 | 75.2137% | +| Counting | 80 / 120 | 66.6667% | +| Forensic Detection | 64 / 132 | 48.4848% | +| Functional Correspondence | 32 / 130 | 24.6154% | +| IQ Test | 43 / 150 | 28.6667% | +| Jigsaw | 119 / 150 | 79.3333% | +| Multi-view Reasoning | 50 / 133 | 37.5940% | +| Object Localization | 74 / 122 | 60.6557% | +| Relative Depth | 104 / 124 | 83.8710% | +| Relative Reflectance | 61 / 134 | 45.5224% | +| Semantic Correspondence | 45 / 139 | 32.3741% | +| Spatial Relation | 125 / 143 | 87.4126% | +| Visual Correspondence | 105 / 172 | 61.0465% | +| Visual Similarity | 114 / 135 | 84.4444% | +| **14-task macro** | — | **58.2787%** | +| **All-sample micro** | **1,104 / 1,901** | **58.0747%** | + +## VStar + +| Category | Correct / Samples | Accuracy | +|---|---:|---:| +| direct_attributes | 56 / 115 | 48.6957% | +| relative_position | 46 / 76 | 60.5263% | +| **2-category macro** | — | **54.6110%** | +| **All-sample micro** | **102 / 191** | **53.4031%** | + +## CoVT 输出与质量检查 + +| Benchmark | Parse rate | Error | `` 闭合率 | `` 闭合率 | 任意 CoVT anchor | Token 范围 / 命中上限 | +|---|---:|---:|---:|---:|---:|---:| +| CV-Bench | 100% | 0 | 99.9621% | 99.9242% | 100% | 88–94 / 0 | +| BLINK | 100% | 0 | 100% | 100% | 100% | 88–93 / 0 | +| VStar | 100% | 0 | 100% | 100% | 100% | 88–91 / 0 | + +典型完整输出结构为：`` + depth/SAM/DINO/PiDiNet/SigLIP anchors + `` + `(X)`。CV-Bench 中极少数输出缺少一个闭合标签，但 2,638 条答案均可由确定性选项匹配解析，且无样本因长度上限截断。 + +## 数据版本 + +| Dataset | Revision | +|---|---| +| `nyu-visionx/CV-Bench` | `bc284db50d036958861cb60cdd7b77612052ce0d` | +| `BLINK-Benchmark/BLINK` | `a3666eb249237ba3d5eca8db21176cc47967e040` | +| `craigwu/vstar_bench` | `d9ae62c903da0c98336e85c5ee89cd863b04b4da` | + +所有下载均在显式清空 `http_proxy`、`https_proxy`、`all_proxy` 及其大写变量后直连完成。 + +## SwanLab + +- CV-Bench： +- BLINK： +- VStar： + +## 本地产物 + +- `audit_summary.json`：三项独立重算审计总表。 +- `cvbench_full_test/{metrics.json,results.jsonl,audit.json}`。 +- `blink_full_val/{metrics.json,results.jsonl,audit.json}`。 +- `vstar_full_test/{metrics.json,results.jsonl,audit.json}`。 +- 日志：`logs/H3_merge_checkpoint-7000.log`、`logs/H3_ckpt7000_three_benchmarks.log`、`logs/H3_ckpt7000_vstar.log`、`logs/H3_ckpt7000_multibench_audit.log`。 diff --git a/reports/evaluations/checkpoint-7000/audit_summary.json b/reports/evaluations/checkpoint-7000/audit_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c0799fcca5f51b2342fed29fa2fa42d716264407 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/audit_summary.json @@ -0,0 +1,302 @@ +{ + "blink": { + "accuracy": 0.5807469752761705, + "benchmark": "blink", + "checks": { + "all_inference_errors_zero": true, + "correct_flags_recomputed": true, + "expected_answers_exact": true, + "manifest_result_ids_exact": true, + "no_generation_hit_cap": true, + "published_core_metrics_recomputed": true + }, + "config_scores": { + "Art_Style": { + "accuracy": 0.7521367521367521, + "correct": 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a/reports/evaluations/checkpoint-7000/blink_full_val/rank_00.jsonl b/reports/evaluations/checkpoint-7000/blink_full_val/rank_00.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..595e59e8a62718806afd268466583b0d7d2dbb79 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/blink_full_val/rank_00.jsonl @@ -0,0 +1,238 @@ +{"sample_id": "val_Art_Style_1", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 0, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_9", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 8, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_17", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 16, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_25", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 24, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_33", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 32, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_41", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 40, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_49", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 48, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_57", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 56, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_65", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 64, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_73", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 72, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_81", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 80, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_89", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 88, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_97", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 96, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_105", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 104, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_113", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 112, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_4", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 120, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_12", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 128, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_20", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 136, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_28", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 144, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_36", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 152, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_44", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 160, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_52", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 168, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_60", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 176, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_68", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 184, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_76", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 192, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_84", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 200, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_92", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 208, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_100", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 216, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_108", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 224, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 4 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 4 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 19, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_116", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 232, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_4", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 240, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_12", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 248, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_20", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 256, "image_count": 4, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_28", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 264, "image_count": 4, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_36", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 272, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_44", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 280, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_52", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 288, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_60", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 296, "image_count": 4, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_68", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 304, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_76", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 312, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_84", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 320, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_92", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 328, "image_count": 4, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_100", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 336, "image_count": 4, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_108", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 344, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_116", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 352, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_124", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 360, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_132", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 368, "image_count": 4, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_8", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 376, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_16", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 384, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_24", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 392, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_32", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 400, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_40", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 408, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_48", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 416, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_56", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 424, "image_count": 2, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_64", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 432, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_72", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 440, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_80", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 448, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_88", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 456, "image_count": 2, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_96", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 464, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_104", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 472, "image_count": 2, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_112", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 480, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_120", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 488, "image_count": 2, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_128", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 496, "image_count": 2, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_6", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 504, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_14", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 512, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_22", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 520, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_30", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 528, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_38", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 536, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_46", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 544, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_54", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 552, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_62", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 560, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_70", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 568, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_78", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 576, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_86", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 584, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_94", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 592, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_102", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 600, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_110", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 608, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_118", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 616, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_126", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 624, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_134", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 632, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_142", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 640, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_150", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 648, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_8", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 656, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_16", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 664, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_24", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 672, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_32", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 680, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_40", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 688, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_48", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 696, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_56", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 704, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_64", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 712, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_72", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 720, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_80", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 728, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_88", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 736, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_96", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 744, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_104", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 752, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_112", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 760, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_120", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 768, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_128", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 776, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_136", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 784, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_144", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 792, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_2", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 800, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_10", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 808, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_18", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 816, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_26", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 824, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_34", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 832, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_42", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 840, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_50", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 848, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_58", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 856, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_66", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 864, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_74", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 872, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_82", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 880, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_90", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 888, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_98", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 896, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_106", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 904, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_114", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 912, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_122", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 920, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_130", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 928, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_5", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 936, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_13", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 944, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_21", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 952, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_29", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 960, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_37", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 968, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_45", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 976, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_53", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 984, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_61", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 992, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_69", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1000, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_77", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1008, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_85", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1016, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_93", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1024, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_101", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1032, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_109", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1040, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_117", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1048, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_3", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1056, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_11", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1064, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_19", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1072, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_27", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1080, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_35", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1088, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_43", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1096, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_51", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1104, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_59", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1112, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_67", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1120, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_75", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1128, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_83", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1136, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_91", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1144, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_99", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1152, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_107", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1160, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_115", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1168, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_123", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1176, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_7", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1184, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_15", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1192, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_23", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1200, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_31", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1208, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_39", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1216, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_47", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1224, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_55", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1232, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_63", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1240, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_71", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1248, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_79", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1256, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_87", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1264, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_95", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1272, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_103", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1280, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_111", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1288, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_119", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1296, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_127", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1304, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_1", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1312, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_9", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1320, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_17", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1328, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_25", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1336, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_33", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1344, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_41", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1352, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_49", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1360, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_57", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1368, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_65", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1376, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_73", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1384, "image_count": 2, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_81", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1392, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_89", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1400, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_97", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1408, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_105", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1416, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_113", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1424, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_121", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1432, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_129", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1440, "image_count": 2, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_137", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1448, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_6", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1456, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_14", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1464, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_22", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1472, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_30", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1480, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_38", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1488, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_46", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1496, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_54", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1504, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_62", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1512, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_70", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1520, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_78", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1528, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_86", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1536, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_94", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1544, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_102", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1552, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_110", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1560, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_118", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1568, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_126", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1576, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_134", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1584, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_142", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1592, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_7", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1600, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_15", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1608, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_23", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1616, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_31", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1624, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_39", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1632, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_47", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1640, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_55", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1648, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_63", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1656, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_71", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1664, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_79", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1672, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_87", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1680, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_95", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1688, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_103", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1696, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_111", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1704, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_119", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1712, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_127", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1720, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_135", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1728, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_143", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1736, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_151", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1744, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_159", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1752, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_167", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1760, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_3", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1768, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_11", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1776, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_19", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1784, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_27", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1792, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_35", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1800, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_43", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1808, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_51", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1816, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_59", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1824, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_67", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1832, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_75", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1840, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_83", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1848, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_91", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1856, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_99", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1864, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_107", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1872, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_115", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1880, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_123", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1888, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_131", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1896, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/blink_full_val/rank_01.jsonl b/reports/evaluations/checkpoint-7000/blink_full_val/rank_01.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c55c8747c1d0ddddad85c4b01717c980f6e92c02 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/blink_full_val/rank_01.jsonl @@ -0,0 +1,238 @@ +{"sample_id": "val_Art_Style_2", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 1, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_10", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 9, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_18", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 17, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_26", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 25, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_34", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 33, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_42", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 41, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_50", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 49, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_58", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 57, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_66", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 65, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_74", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 73, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_82", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 81, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_90", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 89, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_98", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 97, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_106", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 105, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_114", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 113, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_5", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 121, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_13", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 129, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_21", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 137, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_29", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 145, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_37", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 153, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_45", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 161, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_53", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 169, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_61", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 177, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_69", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 185, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_77", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 193, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_85", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 201, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_93", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 209, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_101", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 217, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_109", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 225, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_117", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 233, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_5", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 241, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_13", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 249, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_21", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 257, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_29", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 265, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_37", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 273, "image_count": 4, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_45", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 281, "image_count": 4, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_53", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 289, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_61", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 297, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_69", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 305, "image_count": 4, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_77", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 313, "image_count": 4, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_85", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 321, "image_count": 4, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_93", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 329, "image_count": 4, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_101", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 337, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_109", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 345, "image_count": 4, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_117", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 353, "image_count": 4, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_125", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 361, "image_count": 4, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_1", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 369, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_9", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 377, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_17", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 385, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_25", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 393, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_33", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 401, "image_count": 2, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_41", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 409, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_49", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 417, "image_count": 2, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_57", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 425, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_65", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 433, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_73", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 441, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_81", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 449, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_89", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 457, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_97", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 465, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_105", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 473, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_113", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 481, "image_count": 2, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_121", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 489, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_129", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 497, "image_count": 2, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_7", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 505, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_15", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 513, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_23", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 521, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_31", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 529, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_39", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 537, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_47", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 545, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_55", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 553, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_63", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 561, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_71", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 569, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_79", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 577, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_87", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 585, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_95", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 593, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_103", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 601, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_111", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 609, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_119", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 617, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_127", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 625, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_135", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 633, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_143", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 641, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_1", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 649, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_9", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 657, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_17", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 665, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_25", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 673, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_33", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 681, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_41", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 689, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_49", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 697, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_57", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 705, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_65", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 713, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_73", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 721, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_81", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 729, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_89", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 737, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_97", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 745, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_105", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 753, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_113", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 761, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_121", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 769, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_129", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 777, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_137", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 785, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_145", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 793, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_3", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 801, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_11", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 809, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_19", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 817, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_27", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 825, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_35", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 833, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_43", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 841, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_51", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 849, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_59", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 857, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_67", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 865, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_75", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 873, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_83", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 881, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_91", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 889, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_99", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 897, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_107", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 905, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_115", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 913, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_123", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 921, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_131", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 929, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_6", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 937, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_14", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 945, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_22", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 953, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_30", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 961, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_38", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 969, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_46", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 977, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_54", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 985, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_62", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 993, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_70", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1001, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_78", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1009, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_86", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1017, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_94", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1025, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_102", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1033, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_110", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1041, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_118", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1049, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_4", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1057, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_12", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1065, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_20", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1073, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_28", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1081, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_36", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1089, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_44", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1097, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_52", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1105, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_60", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1113, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_68", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1121, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_76", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1129, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_84", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1137, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_92", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1145, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_100", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1153, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_108", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1161, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_116", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1169, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_124", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1177, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_8", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1185, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_16", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1193, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_24", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1201, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_32", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1209, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_40", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1217, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_48", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1225, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_56", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1233, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_64", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1241, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_72", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1249, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_80", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1257, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_88", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1265, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_96", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1273, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_104", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1281, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_112", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1289, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_120", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1297, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_128", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1305, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_2", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1313, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_10", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1321, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_18", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1329, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_26", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1337, "image_count": 2, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_34", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1345, "image_count": 2, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_42", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1353, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_50", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1361, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_58", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1369, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_66", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1377, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_74", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1385, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_82", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1393, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_90", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1401, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_98", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1409, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_106", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1417, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_114", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1425, "image_count": 2, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_122", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1433, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_130", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1441, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_138", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1449, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_7", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1457, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_15", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1465, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_23", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1473, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_31", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1481, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_39", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1489, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_47", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1497, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_55", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1505, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_63", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1513, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_71", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1521, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_79", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1529, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_87", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1537, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_95", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1545, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_103", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1553, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_111", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1561, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_119", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1569, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_127", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1577, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_135", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1585, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_143", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1593, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_8", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1601, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_16", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1609, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_24", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1617, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_32", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1625, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_40", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1633, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_48", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1641, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_56", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1649, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_64", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1657, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_72", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1665, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_80", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1673, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_88", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1681, "image_count": 2, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_96", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1689, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_104", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1697, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_112", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1705, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_120", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1713, "image_count": 2, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_128", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1721, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_136", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1729, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_144", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1737, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_152", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1745, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_160", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1753, "image_count": 2, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_168", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1761, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_4", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1769, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_12", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1777, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_20", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1785, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_28", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1793, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_36", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1801, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_44", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1809, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_52", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1817, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_60", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1825, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_68", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1833, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_76", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1841, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_84", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1849, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_92", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1857, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_100", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1865, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_108", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1873, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_116", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1881, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_124", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1889, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_132", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1897, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/blink_full_val/rank_02.jsonl b/reports/evaluations/checkpoint-7000/blink_full_val/rank_02.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a77fcfa9407965ad7d36b9bc137f56fbda37eca2 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/blink_full_val/rank_02.jsonl @@ -0,0 +1,238 @@ +{"sample_id": "val_Art_Style_3", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 2, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_11", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 10, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_19", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 18, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_27", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 26, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_35", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 34, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_43", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 42, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_51", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 50, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_59", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 58, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_67", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 66, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_75", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 74, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_83", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 82, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_91", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 90, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_99", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 98, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_107", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 106, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_115", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 114, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_6", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 122, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_14", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 130, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_22", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 138, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_30", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 146, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_38", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 154, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_46", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 162, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_54", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 170, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_62", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 178, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_70", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 186, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_78", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 194, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_86", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 202, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_94", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 210, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_102", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 218, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_110", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 226, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_118", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 234, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_6", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 242, "image_count": 4, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_14", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 250, "image_count": 4, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_22", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 258, "image_count": 4, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_30", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 266, "image_count": 4, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_38", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 274, "image_count": 4, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_46", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 282, "image_count": 4, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_54", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 290, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n The answer is (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n The answer is (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 576, 4226, 374, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_62", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 298, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_70", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 306, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_78", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 314, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_86", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 322, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_94", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 330, "image_count": 4, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_102", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 338, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_110", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 346, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_118", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 354, "image_count": 4, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_126", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 362, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_2", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 370, "image_count": 2, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_10", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 378, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_18", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 386, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_26", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 394, "image_count": 2, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_34", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 402, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_42", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 410, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_50", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 418, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_58", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 426, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_66", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 434, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_74", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 442, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_82", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 450, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_90", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 458, "image_count": 2, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_98", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 466, "image_count": 2, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_106", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 474, "image_count": 2, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_114", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 482, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_122", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 490, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_130", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 498, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_8", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 506, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_16", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 514, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_24", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 522, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_32", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 530, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_40", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 538, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_48", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 546, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_56", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 554, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_64", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 562, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_72", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 570, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_80", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 578, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_88", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 586, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_96", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 594, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_104", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 602, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_112", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 610, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_120", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 618, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_128", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 626, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_136", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 634, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_144", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 642, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_2", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 650, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_10", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 658, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_18", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 666, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_26", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 674, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_34", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 682, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_42", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 690, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_50", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 698, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_58", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 706, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_66", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 714, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_74", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 722, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_82", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 730, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_90", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 738, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_98", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 746, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_106", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 754, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_114", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 762, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_122", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 770, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_130", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 778, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_138", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 786, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_146", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 794, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_4", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 802, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_12", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 810, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_20", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 818, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_28", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 826, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_36", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 834, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_44", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 842, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_52", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 850, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_60", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 858, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_68", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 866, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_76", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 874, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_84", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 882, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_92", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 890, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_100", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 898, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_108", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 906, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_116", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 914, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_124", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 922, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_132", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 930, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_7", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 938, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_15", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 946, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_23", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 954, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_31", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 962, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_39", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 970, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_47", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 978, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_55", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 986, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_63", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 994, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_71", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1002, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_79", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1010, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_87", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1018, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_95", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1026, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_103", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1034, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_111", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1042, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_119", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1050, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_5", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1058, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_13", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1066, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_21", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1074, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_29", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1082, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_37", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1090, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_45", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1098, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_53", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1106, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_61", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1114, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_69", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1122, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_77", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1130, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_85", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1138, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_93", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1146, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_101", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1154, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_109", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1162, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_117", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1170, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_1", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1178, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_9", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1186, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_17", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1194, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_25", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1202, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_33", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1210, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_41", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1218, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_49", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1226, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_57", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1234, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_65", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1242, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_73", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1250, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_81", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1258, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_89", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1266, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_97", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1274, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_105", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1282, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_113", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1290, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_121", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1298, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_129", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1306, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_3", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1314, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_11", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1322, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_19", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1330, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_27", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1338, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_35", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1346, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_43", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1354, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_51", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1362, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_59", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1370, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_67", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1378, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_75", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1386, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_83", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1394, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_91", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1402, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_99", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1410, "image_count": 2, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_107", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1418, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_115", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1426, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_123", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1434, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_131", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1442, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_139", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1450, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_8", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1458, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_16", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1466, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_24", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1474, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_32", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1482, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_40", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1490, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_48", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1498, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_56", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1506, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_64", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1514, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_72", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1522, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_80", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1530, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_88", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1538, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_96", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1546, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_104", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1554, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_112", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1562, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_120", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1570, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_128", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1578, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_136", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1586, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_1", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1594, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_9", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1602, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_17", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1610, "image_count": 2, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_25", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1618, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_33", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1626, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_41", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1634, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_49", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1642, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_57", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1650, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_65", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1658, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_73", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1666, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_81", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1674, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_89", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1682, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_97", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1690, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_105", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1698, "image_count": 2, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_113", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1706, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_121", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1714, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_129", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1722, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_137", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1730, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_145", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1738, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_153", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1746, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_161", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1754, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_169", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1762, "image_count": 2, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_5", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1770, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_13", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1778, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_21", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1786, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_29", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1794, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_37", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1802, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_45", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1810, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_53", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1818, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_61", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1826, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_69", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1834, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_77", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1842, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_85", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1850, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_93", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1858, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_101", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1866, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_109", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1874, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_117", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1882, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_125", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1890, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_133", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1898, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/blink_full_val/rank_03.jsonl b/reports/evaluations/checkpoint-7000/blink_full_val/rank_03.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3633f2686c6e7fed0e3f57c3dc2811975c9c4f93 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/blink_full_val/rank_03.jsonl @@ -0,0 +1,238 @@ +{"sample_id": "val_Art_Style_4", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 3, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_12", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 11, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_20", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 19, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_28", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 27, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_36", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 35, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_44", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 43, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_52", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 51, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_60", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 59, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_68", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 67, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_76", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 75, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_84", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 83, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_92", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 91, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_100", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 99, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_108", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 107, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_116", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 115, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_7", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 123, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_15", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 131, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_23", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 139, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 6 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 6 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 21, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_31", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 147, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_39", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 155, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_47", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 163, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_55", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 171, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 4 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 4 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 19, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_63", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 179, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_71", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 187, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_79", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 195, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_87", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 203, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_95", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 211, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_103", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 219, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_111", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 227, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_119", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 235, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_7", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 243, "image_count": 4, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_15", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 251, "image_count": 4, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_23", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 259, "image_count": 4, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_31", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 267, "image_count": 4, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_39", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 275, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_47", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 283, "image_count": 4, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_55", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 291, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_63", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 299, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_71", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 307, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_79", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 315, "image_count": 4, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_87", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 323, "image_count": 4, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_95", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 331, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_103", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 339, "image_count": 4, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_111", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 347, "image_count": 4, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_119", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 355, "image_count": 4, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_127", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 363, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_3", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 371, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_11", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 379, "image_count": 2, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_19", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 387, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_27", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 395, "image_count": 2, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_35", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 403, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_43", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 411, "image_count": 2, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_51", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 419, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_59", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 427, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_67", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 435, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_75", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 443, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_83", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 451, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_91", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 459, "image_count": 2, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_99", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 467, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_107", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 475, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_115", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 483, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_123", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 491, "image_count": 2, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_1", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 499, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_9", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 507, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_17", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 515, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_25", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 523, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_33", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 531, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_41", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 539, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_49", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 547, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_57", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 555, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_65", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 563, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_73", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 571, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_81", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 579, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_89", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 587, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_97", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 595, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_105", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 603, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_113", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 611, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_121", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 619, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_129", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 627, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_137", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 635, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_145", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 643, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_3", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 651, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_11", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 659, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_19", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 667, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_27", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 675, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_35", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 683, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_43", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 691, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_51", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 699, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_59", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 707, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_67", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 715, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_75", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 723, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_83", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 731, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_91", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 739, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_99", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 747, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_107", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 755, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_115", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 763, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_123", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 771, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_131", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 779, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_139", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 787, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_147", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 795, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_5", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 803, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_13", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 811, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_21", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 819, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_29", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 827, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_37", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 835, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_45", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 843, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_53", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 851, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_61", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 859, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_69", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 867, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_77", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 875, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_85", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 883, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_93", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 891, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_101", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 899, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_109", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 907, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_117", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 915, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_125", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 923, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_133", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 931, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_8", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 939, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_16", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 947, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_24", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 955, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_32", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 963, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_40", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 971, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_48", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 979, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_56", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 987, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_64", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 995, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_72", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1003, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_80", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1011, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_88", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1019, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_96", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1027, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_104", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1035, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_112", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1043, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_120", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1051, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_6", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1059, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_14", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1067, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_22", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1075, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_30", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1083, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_38", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1091, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_46", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1099, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_54", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1107, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_62", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1115, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_70", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1123, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_78", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1131, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_86", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1139, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_94", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1147, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_102", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1155, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_110", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1163, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_118", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1171, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_2", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1179, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_10", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1187, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_18", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1195, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_26", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1203, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_34", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1211, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_42", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1219, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_50", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1227, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_58", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1235, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_66", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1243, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_74", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1251, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_82", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1259, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_90", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1267, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_98", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1275, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_106", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1283, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_114", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1291, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_122", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1299, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_130", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1307, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_4", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1315, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_12", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1323, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_20", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1331, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_28", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1339, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_36", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1347, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_44", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1355, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_52", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1363, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_60", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1371, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_68", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1379, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_76", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1387, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_84", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1395, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_92", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1403, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_100", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1411, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_108", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1419, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_116", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1427, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_124", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1435, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_132", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1443, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_1", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1451, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_9", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1459, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_17", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1467, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_25", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1475, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_33", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1483, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_41", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1491, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_49", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1499, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_57", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1507, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_65", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1515, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_73", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1523, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_81", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1531, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_89", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1539, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_97", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1547, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_105", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1555, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_113", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1563, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_121", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1571, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_129", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1579, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_137", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1587, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_2", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1595, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_10", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1603, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_18", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1611, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_26", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1619, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_34", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1627, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_42", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1635, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_50", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1643, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_58", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1651, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_66", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1659, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_74", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1667, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_82", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1675, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_90", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1683, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_98", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1691, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_106", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1699, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_114", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1707, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_122", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1715, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_130", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1723, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_138", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1731, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_146", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1739, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_154", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1747, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_162", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1755, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_170", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1763, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_6", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1771, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_14", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1779, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_22", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1787, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_30", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1795, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_38", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1803, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_46", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1811, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_54", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1819, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_62", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1827, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_70", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1835, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_78", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1843, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_86", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1851, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_94", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1859, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_102", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1867, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_110", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1875, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_118", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1883, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_126", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1891, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_134", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1899, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/blink_full_val/rank_04.jsonl b/reports/evaluations/checkpoint-7000/blink_full_val/rank_04.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9af8c43788c5fbe8d804b096cbb1a3f7d79b7a9e --- /dev/null +++ b/reports/evaluations/checkpoint-7000/blink_full_val/rank_04.jsonl @@ -0,0 +1,238 @@ +{"sample_id": "val_Art_Style_5", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 4, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_13", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 12, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_21", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 20, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_29", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 28, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_37", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 36, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_45", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 44, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_53", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 52, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_61", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 60, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_69", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 68, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_77", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 76, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_85", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 84, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_93", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 92, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_101", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 100, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_109", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 108, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_117", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 116, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_8", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 124, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_16", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 132, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 4 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 4 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 19, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_24", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 140, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_32", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 148, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_40", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 156, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_48", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 164, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_56", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 172, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_64", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 180, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_72", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 188, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_80", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 196, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_88", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 204, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 3 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 3 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 18, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_96", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 212, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_104", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 220, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_112", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 228, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_120", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 236, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_8", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 244, "image_count": 4, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_16", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 252, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_24", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 260, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_32", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 268, "image_count": 4, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_40", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 276, "image_count": 4, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_48", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 284, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_56", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 292, "image_count": 4, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_64", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 300, "image_count": 4, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_72", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 308, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_80", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 316, "image_count": 4, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_88", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 324, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_96", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 332, "image_count": 4, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_104", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 340, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_112", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 348, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_120", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 356, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_128", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 364, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_4", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 372, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_12", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 380, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_20", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 388, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_28", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 396, "image_count": 2, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_36", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 404, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_44", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 412, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_52", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 420, "image_count": 2, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_60", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 428, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_68", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 436, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_76", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 444, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_84", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 452, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n(B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n(B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 5349, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_92", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 460, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_100", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 468, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_108", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 476, "image_count": 2, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_116", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 484, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_124", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 492, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_2", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 500, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_10", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 508, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_18", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 516, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_26", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 524, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_34", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 532, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_42", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 540, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_50", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 548, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_58", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 556, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_66", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 564, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_74", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 572, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_82", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 580, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_90", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 588, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_98", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 596, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_106", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 604, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_114", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 612, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_122", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 620, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_130", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 628, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_138", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 636, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_146", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 644, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_4", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 652, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_12", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 660, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_20", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 668, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_28", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 676, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_36", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 684, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_44", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 692, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_52", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 700, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_60", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 708, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_68", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 716, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_76", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 724, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_84", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 732, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_92", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 740, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_100", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 748, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_108", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 756, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_116", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 764, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_124", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 772, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_132", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 780, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_140", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 788, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_148", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 796, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_6", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 804, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_14", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 812, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_22", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 820, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_30", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 828, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_38", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 836, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_46", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 844, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_54", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 852, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_62", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 860, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_70", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 868, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_78", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 876, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_86", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 884, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_94", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 892, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_102", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 900, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_110", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 908, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_118", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 916, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_126", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 924, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_1", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 932, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_9", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 940, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_17", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 948, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_25", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 956, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_33", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 964, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_41", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 972, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_49", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 980, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_57", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 988, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_65", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 996, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_73", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1004, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_81", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1012, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_89", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1020, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_97", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1028, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_105", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1036, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_113", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1044, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_121", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1052, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_7", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1060, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_15", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1068, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_23", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1076, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_31", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1084, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_39", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1092, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_47", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1100, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_55", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1108, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_63", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1116, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_71", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1124, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_79", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1132, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_87", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1140, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_95", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1148, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_103", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1156, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_111", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1164, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_119", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1172, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_3", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1180, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_11", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1188, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_19", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1196, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_27", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1204, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_35", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1212, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_43", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1220, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_51", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1228, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_59", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1236, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_67", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1244, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_75", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1252, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_83", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1260, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_91", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1268, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_99", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1276, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_107", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1284, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_115", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1292, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_123", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1300, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_131", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1308, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_5", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1316, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_13", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1324, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_21", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1332, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_29", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1340, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_37", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1348, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_45", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1356, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_53", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1364, "image_count": 2, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_61", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1372, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_69", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1380, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_77", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1388, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_85", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1396, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_93", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1404, "image_count": 2, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_101", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1412, "image_count": 2, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_109", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1420, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_117", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1428, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_125", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1436, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_133", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1444, "image_count": 2, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_2", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1452, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_10", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1460, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_18", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1468, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_26", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1476, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_34", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1484, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_42", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1492, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_50", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1500, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_58", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1508, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_66", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1516, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_74", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1524, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_82", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1532, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_90", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1540, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_98", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1548, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_106", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1556, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_114", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1564, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_122", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1572, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_130", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1580, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_138", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1588, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_3", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1596, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_11", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1604, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_19", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1612, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_27", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1620, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_35", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1628, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_43", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1636, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_51", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1644, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_59", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1652, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_67", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1660, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_75", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1668, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_83", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1676, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_91", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1684, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_99", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1692, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_107", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1700, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_115", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1708, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_123", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1716, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_131", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1724, "image_count": 2, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_139", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1732, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_147", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1740, "image_count": 2, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_155", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1748, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_163", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1756, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_171", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1764, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_7", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1772, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_15", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1780, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_23", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1788, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_31", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1796, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_39", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1804, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_47", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1812, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_55", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1820, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_63", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1828, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_71", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1836, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_79", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1844, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_87", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1852, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_95", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1860, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_103", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1868, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_111", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1876, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_119", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1884, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_127", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1892, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_135", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1900, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/blink_full_val/rank_05.jsonl b/reports/evaluations/checkpoint-7000/blink_full_val/rank_05.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a70a5641d81f221441b60418f4a4fc884edf3f1f --- /dev/null +++ b/reports/evaluations/checkpoint-7000/blink_full_val/rank_05.jsonl @@ -0,0 +1,237 @@ +{"sample_id": "val_Art_Style_6", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 5, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_14", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 13, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_22", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 21, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_30", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 29, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_38", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 37, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_46", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 45, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_54", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 53, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_62", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 61, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_70", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 69, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_78", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 77, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_86", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 85, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_94", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 93, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_102", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 101, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_110", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 109, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_1", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 117, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_9", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 125, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_17", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 133, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_25", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 141, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_33", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 149, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_41", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 157, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_49", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 165, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_57", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 173, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_65", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 181, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 5 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 5 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 20, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_73", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 189, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_81", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 197, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_89", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 205, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 3 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 3 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 18, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_97", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 213, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_105", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 221, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_113", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 229, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_1", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 237, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_9", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 245, "image_count": 4, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_17", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 253, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_25", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 261, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_33", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 269, "image_count": 4, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_41", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 277, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_49", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 285, "image_count": 4, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_57", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 293, "image_count": 4, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_65", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 301, "image_count": 4, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_73", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 309, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_81", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 317, "image_count": 4, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_89", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 325, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_97", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 333, "image_count": 4, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_105", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 341, "image_count": 4, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_113", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 349, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_121", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 357, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_129", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 365, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_5", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 373, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_13", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 381, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_21", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 389, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_29", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 397, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_37", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 405, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_45", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 413, "image_count": 2, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_53", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 421, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_61", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 429, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_69", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 437, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_77", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 445, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_85", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 453, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_93", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 461, "image_count": 2, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_101", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 469, "image_count": 2, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_109", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 477, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_117", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 485, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_125", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 493, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_3", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 501, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_11", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 509, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_19", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 517, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_27", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 525, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_35", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 533, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_43", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 541, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_51", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 549, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_59", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 557, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_67", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 565, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_75", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 573, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_83", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 581, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_91", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 589, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_99", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 597, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_107", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 605, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_115", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 613, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_123", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 621, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_131", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 629, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_139", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 637, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_147", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 645, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_5", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 653, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_13", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 661, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_21", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 669, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_29", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 677, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_37", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 685, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_45", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 693, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_53", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 701, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_61", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 709, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_69", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 717, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_77", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 725, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_85", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 733, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_93", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 741, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_101", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 749, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_109", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 757, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_117", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 765, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_125", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 773, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_133", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 781, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_141", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 789, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_149", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 797, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_7", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 805, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_15", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 813, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_23", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 821, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_31", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 829, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_39", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 837, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_47", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 845, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_55", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 853, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_63", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 861, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_71", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 869, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_79", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 877, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_87", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 885, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_95", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 893, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_103", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 901, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_111", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 909, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_119", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 917, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_127", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 925, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_2", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 933, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_10", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 941, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_18", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 949, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_26", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 957, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_34", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 965, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_42", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 973, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_50", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 981, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_58", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 989, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_66", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 997, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_74", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1005, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_82", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1013, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_90", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1021, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_98", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1029, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_106", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1037, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_114", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1045, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_122", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1053, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_8", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1061, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_16", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1069, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_24", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1077, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_32", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1085, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_40", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1093, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_48", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1101, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_56", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1109, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_64", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1117, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_72", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1125, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_80", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1133, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_88", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1141, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_96", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1149, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_104", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1157, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_112", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1165, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_120", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1173, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_4", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1181, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_12", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1189, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_20", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1197, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_28", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1205, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_36", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1213, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_44", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1221, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_52", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1229, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_60", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1237, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_68", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1245, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_76", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1253, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_84", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1261, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_92", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1269, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_100", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1277, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_108", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1285, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_116", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1293, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_124", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1301, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_132", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1309, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_6", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1317, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_14", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1325, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_22", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1333, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_30", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1341, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_38", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1349, "image_count": 2, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_46", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1357, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_54", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1365, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_62", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1373, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_70", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1381, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_78", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1389, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_86", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1397, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_94", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1405, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_102", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1413, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_110", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1421, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_118", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1429, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_126", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1437, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_134", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1445, "image_count": 2, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_3", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1453, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_11", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1461, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_19", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1469, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_27", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1477, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_35", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1485, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_43", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1493, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_51", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1501, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_59", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1509, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_67", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1517, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_75", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1525, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_83", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1533, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_91", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1541, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_99", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1549, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_107", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1557, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_115", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1565, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_123", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1573, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_131", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1581, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_139", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1589, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_4", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1597, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_12", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1605, "image_count": 2, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_20", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1613, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_28", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1621, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_36", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1629, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_44", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1637, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_52", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1645, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_60", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1653, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_68", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1661, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_76", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1669, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_84", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1677, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_92", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1685, "image_count": 2, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_100", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1693, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_108", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1701, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_116", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1709, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_124", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1717, "image_count": 2, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_132", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1725, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_140", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1733, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_148", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1741, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_156", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1749, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_164", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1757, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_172", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1765, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_8", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1773, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_16", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1781, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_24", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1789, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_32", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1797, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_40", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1805, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_48", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1813, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_56", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1821, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_64", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1829, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_72", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1837, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_80", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1845, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_88", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1853, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_96", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1861, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_104", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1869, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_112", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1877, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_120", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1885, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_128", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1893, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/blink_full_val/rank_06.jsonl b/reports/evaluations/checkpoint-7000/blink_full_val/rank_06.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2dcafcfb392e0fea01355deefefbc54469584cf6 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/blink_full_val/rank_06.jsonl @@ -0,0 +1,237 @@ +{"sample_id": "val_Art_Style_7", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 6, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_15", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 14, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_23", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 22, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_31", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 30, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_39", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 38, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_47", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 46, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_55", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 54, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_63", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 62, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_71", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 70, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_79", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 78, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_87", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 86, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_95", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 94, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_103", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 102, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_111", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 110, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_2", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 118, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_10", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 126, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_18", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 134, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_26", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 142, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_34", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 150, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_42", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 158, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_50", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 166, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_58", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 174, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_66", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 182, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_74", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 190, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_82", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 198, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_90", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 206, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_98", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 214, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_106", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 222, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 6 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 6 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 21, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_114", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 230, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_2", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 238, "image_count": 4, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_10", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 246, "image_count": 4, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_18", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 254, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_26", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 262, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_34", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 270, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_42", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 278, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_50", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 286, "image_count": 4, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_58", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 294, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_66", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 302, "image_count": 4, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_74", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 310, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_82", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 318, "image_count": 4, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_90", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 326, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_98", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 334, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_106", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 342, "image_count": 4, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_114", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 350, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_122", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 358, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_130", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 366, "image_count": 4, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_6", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 374, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_14", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 382, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_22", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 390, "image_count": 2, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_30", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 398, "image_count": 2, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_38", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 406, "image_count": 2, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_46", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 414, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_54", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 422, "image_count": 2, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_62", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 430, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_70", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 438, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_78", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 446, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_86", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 454, "image_count": 2, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_94", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 462, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_102", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 470, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_110", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 478, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_118", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 486, "image_count": 2, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_126", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 494, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_4", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 502, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_12", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 510, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_20", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 518, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_28", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 526, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_36", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 534, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_44", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 542, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_52", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 550, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_60", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 558, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_68", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 566, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_76", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 574, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_84", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 582, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_92", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 590, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_100", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 598, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_108", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 606, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_116", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 614, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_124", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 622, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_132", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 630, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_140", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 638, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_148", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 646, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_6", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 654, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_14", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 662, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_22", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 670, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_30", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 678, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_38", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 686, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_46", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 694, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_54", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 702, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_62", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 710, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_70", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 718, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_78", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 726, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_86", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 734, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_94", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 742, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_102", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 750, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_110", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 758, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_118", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 766, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_126", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 774, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_134", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 782, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_142", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 790, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_150", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 798, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_8", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 806, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_16", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 814, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_24", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 822, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_32", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 830, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_40", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 838, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_48", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 846, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_56", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 854, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_64", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 862, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_72", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 870, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_80", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 878, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_88", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 886, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_96", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 894, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_104", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 902, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_112", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 910, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_120", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 918, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_128", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 926, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_3", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 934, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_11", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 942, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_19", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 950, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_27", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 958, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_35", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 966, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_43", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 974, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_51", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 982, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_59", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 990, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_67", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 998, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_75", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1006, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_83", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1014, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_91", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1022, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_99", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1030, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_107", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1038, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_115", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1046, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_1", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1054, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_9", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1062, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_17", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1070, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_25", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1078, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_33", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1086, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_41", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1094, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_49", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1102, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_57", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1110, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_65", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1118, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_73", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1126, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_81", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1134, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_89", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1142, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_97", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1150, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_105", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1158, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_113", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1166, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_121", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1174, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_5", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1182, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_13", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1190, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_21", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1198, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_29", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1206, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_37", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1214, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_45", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1222, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_53", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1230, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_61", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1238, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_69", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1246, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_77", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1254, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_85", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1262, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_93", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1270, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_101", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1278, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_109", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1286, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_117", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1294, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_125", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1302, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_133", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1310, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_7", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1318, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_15", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1326, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_23", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1334, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_31", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1342, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_39", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1350, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_47", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1358, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_55", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1366, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_63", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1374, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_71", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1382, "image_count": 2, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_79", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1390, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_87", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1398, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_95", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1406, "image_count": 2, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_103", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1414, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_111", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1422, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_119", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1430, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_127", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1438, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_135", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1446, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_4", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1454, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_12", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1462, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_20", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1470, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_28", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1478, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_36", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1486, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_44", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1494, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_52", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1502, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_60", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1510, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_68", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1518, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_76", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1526, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_84", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1534, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_92", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1542, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_100", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1550, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_108", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1558, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_116", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1566, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_124", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1574, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_132", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1582, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_140", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1590, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_5", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1598, "image_count": 2, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_13", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1606, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_21", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1614, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_29", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1622, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_37", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1630, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_45", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1638, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_53", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1646, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_61", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1654, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_69", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1662, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_77", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1670, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_85", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1678, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_93", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1686, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_101", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1694, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_109", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1702, "image_count": 2, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_117", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1710, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_125", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1718, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_133", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1726, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_141", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1734, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_149", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1742, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_157", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1750, "image_count": 2, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_165", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1758, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_1", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1766, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_9", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1774, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_17", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1782, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_25", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1790, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_33", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1798, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_41", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1806, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_49", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1814, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_57", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1822, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_65", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1830, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_73", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1838, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_81", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1846, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_89", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1854, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_97", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1862, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_105", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1870, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_113", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1878, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_121", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1886, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_129", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1894, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/blink_full_val/rank_07.jsonl b/reports/evaluations/checkpoint-7000/blink_full_val/rank_07.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b1b3a58b8f0d22827e77fa8f0067b2ff2ffa50f9 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/blink_full_val/rank_07.jsonl @@ -0,0 +1,237 @@ +{"sample_id": "val_Art_Style_8", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 7, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_16", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 15, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_24", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 23, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_32", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 31, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_40", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 39, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_48", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 47, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_56", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 55, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_64", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 63, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_72", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 71, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_80", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 79, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_88", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 87, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_96", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 95, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_104", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 103, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_112", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 111, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_3", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 119, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_11", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 127, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_19", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 135, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 4 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 4 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 19, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_27", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 143, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_35", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 151, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_43", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 159, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_51", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 167, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_59", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 175, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_67", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 183, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_75", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 191, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_83", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 199, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_91", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 207, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_99", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 215, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_107", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 223, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_115", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 231, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_3", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 239, "image_count": 4, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_11", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 247, "image_count": 4, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_19", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 255, "image_count": 4, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_27", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 263, "image_count": 4, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_35", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 271, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_43", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 279, "image_count": 4, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_51", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 287, "image_count": 4, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_59", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 295, "image_count": 4, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_67", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 303, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_75", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 311, "image_count": 4, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_83", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 319, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_91", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 327, "image_count": 4, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_99", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 335, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_107", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 343, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_115", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 351, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_123", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 359, "image_count": 4, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_131", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 367, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_7", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 375, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_15", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 383, "image_count": 2, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_23", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 391, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_31", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 399, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_39", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 407, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_47", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 415, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_55", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 423, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_63", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 431, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_71", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 439, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_79", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 447, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_87", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 455, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_95", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 463, "image_count": 2, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_103", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 471, "image_count": 2, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_111", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 479, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_119", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 487, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_127", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 495, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_5", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 503, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_13", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 511, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_21", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 519, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_29", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 527, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_37", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 535, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_45", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 543, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_53", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 551, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_61", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 559, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_69", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 567, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_77", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 575, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_85", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 583, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_93", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 591, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_101", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 599, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_109", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 607, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_117", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 615, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_125", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 623, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_133", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 631, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_141", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 639, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_149", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 647, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_7", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 655, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_15", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 663, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_23", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 671, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_31", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 679, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_39", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 687, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_47", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 695, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_55", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 703, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_63", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 711, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_71", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 719, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_79", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 727, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_87", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 735, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_95", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 743, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_103", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 751, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_111", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 759, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_119", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 767, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_127", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 775, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_135", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 783, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_143", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 791, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_1", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 799, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_9", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 807, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_17", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 815, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_25", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 823, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_33", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 831, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_41", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 839, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_49", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 847, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_57", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 855, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_65", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 863, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_73", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 871, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_81", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 879, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_89", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 887, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_97", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 895, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_105", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 903, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_113", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 911, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_121", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 919, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_129", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 927, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_4", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 935, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_12", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 943, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_20", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 951, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_28", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 959, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_36", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 967, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_44", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 975, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_52", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 983, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_60", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 991, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_68", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 999, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_76", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1007, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_84", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1015, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_92", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1023, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_100", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1031, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_108", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1039, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_116", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1047, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_2", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1055, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_10", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1063, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_18", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1071, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_26", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1079, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_34", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1087, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_42", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1095, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_50", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1103, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_58", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1111, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_66", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1119, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_74", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1127, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_82", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1135, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_90", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1143, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_98", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1151, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_106", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1159, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_114", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1167, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_122", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1175, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_6", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1183, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_14", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1191, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_22", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1199, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_30", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1207, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_38", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1215, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_46", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1223, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_54", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1231, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_62", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1239, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_70", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1247, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_78", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1255, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_86", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1263, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_94", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1271, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_102", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1279, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_110", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1287, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_118", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1295, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_126", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1303, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_134", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1311, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_8", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1319, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_16", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1327, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_24", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1335, "image_count": 2, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_32", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1343, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_40", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1351, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_48", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1359, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_56", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1367, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_64", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1375, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_72", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1383, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_80", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1391, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_88", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1399, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_96", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1407, "image_count": 2, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_104", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1415, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_112", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1423, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_120", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1431, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_128", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1439, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_136", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1447, "image_count": 2, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_5", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1455, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_13", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1463, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_21", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1471, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_29", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1479, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_37", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1487, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_45", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1495, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_53", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1503, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_61", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1511, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_69", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1519, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_77", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1527, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_85", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1535, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_93", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1543, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_101", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1551, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_109", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1559, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_117", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1567, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_125", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1575, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_133", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1583, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_141", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1591, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_6", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1599, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_14", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1607, "image_count": 2, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_22", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1615, "image_count": 2, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_30", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1623, "image_count": 2, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_38", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1631, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_46", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1639, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_54", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1647, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_62", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1655, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_70", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1663, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_78", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1671, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_86", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1679, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_94", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1687, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_102", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1695, "image_count": 2, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_110", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1703, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_118", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1711, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_126", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1719, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_134", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1727, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_142", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1735, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_150", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1743, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_158", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1751, "image_count": 2, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_166", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1759, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_2", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1767, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_10", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1775, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_18", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1783, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_26", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1791, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_34", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1799, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_42", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1807, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_50", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1815, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_58", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1823, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_66", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1831, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_74", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1839, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_82", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1847, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_90", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1855, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_98", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1863, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_106", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1871, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_114", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1879, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_122", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1887, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_130", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1895, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/blink_full_val/results.jsonl b/reports/evaluations/checkpoint-7000/blink_full_val/results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..98bce9d57aeb4143f87b9084b3ae610a82a85a04 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/blink_full_val/results.jsonl @@ -0,0 +1,1901 @@ +{"sample_id": "val_Art_Style_1", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 0, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_2", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 1, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_3", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 2, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_4", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 3, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_5", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 4, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_6", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 5, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_7", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 6, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_8", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 7, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_9", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 8, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_10", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 9, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_11", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 10, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_12", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 11, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_13", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 12, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_14", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 13, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_15", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 14, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_16", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 15, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_17", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 16, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_18", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 17, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_19", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 18, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_20", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 19, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_21", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 20, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_22", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 21, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_23", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 22, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_24", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 23, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_25", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 24, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_26", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 25, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_27", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 26, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_28", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 27, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_29", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 28, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_30", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 29, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_31", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 30, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_32", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 31, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_33", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 32, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_34", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 33, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_35", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 34, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_36", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 35, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_37", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 36, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_38", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 37, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_39", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 38, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_40", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 39, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_41", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 40, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_42", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 41, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_43", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 42, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_44", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 43, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_45", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 44, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_46", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 45, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_47", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 46, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_48", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 47, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_49", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 48, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_50", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 49, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_51", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 50, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_52", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 51, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_53", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 52, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_54", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 53, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_55", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 54, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_56", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 55, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_57", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 56, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_58", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 57, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_59", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 58, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_60", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 59, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_61", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 60, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_62", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 61, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_63", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 62, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_64", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 63, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_65", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 64, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_66", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 65, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_67", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 66, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_68", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 67, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_69", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 68, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_70", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 69, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_71", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 70, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_72", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 71, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_73", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 72, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_74", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 73, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_75", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 74, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_76", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 75, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_77", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 76, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_78", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 77, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_79", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 78, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_80", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 79, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_81", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 80, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_82", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 81, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_83", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 82, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_84", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 83, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_85", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 84, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_86", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 85, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_87", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 86, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_88", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 87, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_89", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 88, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_90", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 89, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_91", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 90, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_92", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 91, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_93", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 92, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_94", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 93, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_95", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 94, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_96", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 95, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_97", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 96, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_98", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 97, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_99", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 98, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_100", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 99, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_101", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 100, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_102", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 101, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_103", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 102, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_104", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 103, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_105", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 104, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_106", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 105, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_107", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 106, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_108", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 107, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_109", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 108, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_110", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 109, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_111", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 110, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_112", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 111, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_113", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 112, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_114", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 113, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_115", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 114, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_116", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 115, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Art_Style_117", "benchmark": "blink", "split": "val", "config": "Art_Style", "task": "Art Style", "row_index": 116, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_1", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 117, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_2", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 118, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_3", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 119, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_4", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 120, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_5", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 121, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_6", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 122, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_7", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 123, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_8", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 124, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_9", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 125, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_10", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 126, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_11", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 127, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_12", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 128, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_13", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 129, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_14", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 130, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_15", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 131, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_16", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 132, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 4 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 4 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 19, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_17", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 133, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_18", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 134, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_19", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 135, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 4 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 4 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 19, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_20", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 136, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_21", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 137, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_22", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 138, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_23", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 139, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 6 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 6 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 21, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_24", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 140, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_25", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 141, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_26", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 142, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_27", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 143, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_28", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 144, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_29", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 145, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_30", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 146, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_31", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 147, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_32", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 148, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_33", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 149, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_34", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 150, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_35", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 151, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_36", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 152, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_37", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 153, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_38", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 154, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_39", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 155, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_40", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 156, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_41", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 157, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_42", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 158, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_43", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 159, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_44", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 160, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_45", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 161, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_46", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 162, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_47", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 163, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_48", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 164, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_49", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 165, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_50", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 166, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_51", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 167, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_52", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 168, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_53", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 169, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_54", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 170, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_55", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 171, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 4 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 4 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 19, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_56", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 172, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_57", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 173, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_58", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 174, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_59", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 175, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_60", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 176, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_61", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 177, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_62", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 178, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_63", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 179, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_64", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 180, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_65", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 181, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 5 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 5 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 20, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_66", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 182, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_67", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 183, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_68", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 184, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_69", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 185, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_70", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 186, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_71", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 187, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_72", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 188, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_73", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 189, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_74", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 190, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_75", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 191, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_76", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 192, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_77", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 193, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_78", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 194, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_79", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 195, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_80", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 196, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_81", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 197, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_82", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 198, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_83", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 199, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_84", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 200, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_85", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 201, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_86", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 202, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_87", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 203, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_88", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 204, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 3 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 3 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 18, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_89", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 205, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 3 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 3 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 18, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_90", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 206, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_91", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 207, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_92", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 208, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_93", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 209, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_94", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 210, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_95", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 211, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_96", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 212, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_97", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 213, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_98", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 214, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_99", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 215, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_100", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 216, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_101", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 217, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_102", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 218, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_103", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 219, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_104", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 220, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_105", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 221, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_106", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 222, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 6 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 6 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 21, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_107", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 223, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_108", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 224, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 4 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 4 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 19, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_109", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 225, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_110", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 226, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_111", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 227, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_112", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 228, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_113", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 229, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_114", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 230, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_115", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 231, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_116", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 232, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_117", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 233, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_118", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 234, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_119", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 235, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Counting_120", "benchmark": "blink", "split": "val", "config": "Counting", "task": "Counting", "row_index": 236, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_1", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 237, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_2", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 238, "image_count": 4, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_3", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 239, "image_count": 4, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_4", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 240, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_5", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 241, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_6", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 242, "image_count": 4, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_7", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 243, "image_count": 4, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_8", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 244, "image_count": 4, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_9", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 245, "image_count": 4, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_10", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 246, "image_count": 4, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_11", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 247, "image_count": 4, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_12", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 248, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_13", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 249, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_14", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 250, "image_count": 4, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_15", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 251, "image_count": 4, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_16", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 252, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_17", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 253, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_18", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 254, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_19", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 255, "image_count": 4, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_20", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 256, "image_count": 4, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_21", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 257, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_22", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 258, "image_count": 4, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_23", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 259, "image_count": 4, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_24", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 260, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_25", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 261, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_26", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 262, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_27", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 263, "image_count": 4, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_28", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 264, "image_count": 4, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_29", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 265, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_30", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 266, "image_count": 4, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_31", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 267, "image_count": 4, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_32", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 268, "image_count": 4, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_33", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 269, "image_count": 4, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_34", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 270, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_35", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 271, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_36", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 272, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_37", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 273, "image_count": 4, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_38", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 274, "image_count": 4, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_39", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 275, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_40", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 276, "image_count": 4, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_41", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 277, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_42", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 278, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_43", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 279, "image_count": 4, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_44", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 280, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_45", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 281, "image_count": 4, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_46", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 282, "image_count": 4, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_47", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 283, "image_count": 4, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_48", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 284, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_49", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 285, "image_count": 4, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_50", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 286, "image_count": 4, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_51", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 287, "image_count": 4, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_52", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 288, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_53", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 289, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_54", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 290, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n The answer is (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n The answer is (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 576, 4226, 374, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_55", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 291, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_56", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 292, "image_count": 4, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_57", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 293, "image_count": 4, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_58", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 294, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_59", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 295, "image_count": 4, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_60", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 296, "image_count": 4, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_61", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 297, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_62", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 298, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_63", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 299, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_64", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 300, "image_count": 4, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_65", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 301, "image_count": 4, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_66", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 302, "image_count": 4, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_67", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 303, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_68", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 304, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_69", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 305, "image_count": 4, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_70", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 306, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_71", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 307, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_72", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 308, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_73", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 309, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_74", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 310, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_75", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 311, "image_count": 4, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_76", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 312, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_77", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 313, "image_count": 4, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_78", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 314, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_79", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 315, "image_count": 4, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_80", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 316, "image_count": 4, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_81", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 317, "image_count": 4, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_82", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 318, "image_count": 4, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_83", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 319, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_84", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 320, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_85", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 321, "image_count": 4, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_86", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 322, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_87", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 323, "image_count": 4, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_88", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 324, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_89", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 325, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_90", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 326, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_91", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 327, "image_count": 4, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_92", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 328, "image_count": 4, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_93", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 329, "image_count": 4, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_94", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 330, "image_count": 4, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_95", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 331, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_96", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 332, "image_count": 4, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_97", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 333, "image_count": 4, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_98", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 334, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_99", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 335, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_100", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 336, "image_count": 4, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_101", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 337, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_102", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 338, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_103", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 339, "image_count": 4, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_104", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 340, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_105", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 341, "image_count": 4, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_106", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 342, "image_count": 4, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_107", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 343, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_108", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 344, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_109", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 345, "image_count": 4, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_110", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 346, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_111", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 347, "image_count": 4, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_112", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 348, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_113", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 349, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_114", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 350, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_115", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 351, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_116", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 352, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_117", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 353, "image_count": 4, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_118", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 354, "image_count": 4, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_119", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 355, "image_count": 4, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_120", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 356, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_121", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 357, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_122", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 358, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_123", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 359, "image_count": 4, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_124", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 360, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_125", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 361, "image_count": 4, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_126", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 362, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_127", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 363, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_128", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 364, "image_count": 4, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_129", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 365, "image_count": 4, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_130", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 366, "image_count": 4, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_131", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 367, "image_count": 4, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Forensic_Detection_132", "benchmark": "blink", "split": "val", "config": "Forensic_Detection", "task": "Forensic Detection", "row_index": 368, "image_count": 4, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_1", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 369, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_2", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 370, "image_count": 2, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_3", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 371, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_4", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 372, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_5", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 373, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_6", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 374, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_7", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 375, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_8", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 376, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_9", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 377, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_10", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 378, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_11", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 379, "image_count": 2, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_12", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 380, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_13", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 381, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_14", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 382, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_15", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 383, "image_count": 2, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_16", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 384, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_17", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 385, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_18", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 386, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_19", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 387, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_20", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 388, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_21", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 389, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_22", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 390, "image_count": 2, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_23", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 391, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_24", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 392, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_25", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 393, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_26", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 394, "image_count": 2, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_27", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 395, "image_count": 2, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_28", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 396, "image_count": 2, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_29", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 397, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_30", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 398, "image_count": 2, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_31", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 399, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_32", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 400, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_33", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 401, "image_count": 2, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_34", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 402, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_35", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 403, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_36", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 404, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_37", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 405, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_38", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 406, "image_count": 2, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_39", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 407, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_40", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 408, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_41", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 409, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_42", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 410, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_43", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 411, "image_count": 2, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_44", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 412, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_45", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 413, "image_count": 2, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_46", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 414, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_47", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 415, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_48", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 416, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_49", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 417, "image_count": 2, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_50", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 418, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_51", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 419, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_52", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 420, "image_count": 2, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_53", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 421, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_54", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 422, "image_count": 2, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_55", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 423, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_56", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 424, "image_count": 2, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_57", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 425, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_58", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 426, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_59", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 427, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_60", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 428, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_61", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 429, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_62", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 430, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_63", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 431, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_64", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 432, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_65", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 433, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_66", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 434, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_67", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 435, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_68", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 436, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_69", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 437, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_70", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 438, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_71", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 439, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_72", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 440, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_73", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 441, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_74", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 442, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_75", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 443, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_76", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 444, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_77", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 445, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_78", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 446, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_79", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 447, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_80", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 448, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_81", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 449, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_82", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 450, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_83", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 451, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_84", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 452, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n(B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n(B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 5349, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_85", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 453, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_86", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 454, "image_count": 2, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_87", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 455, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_88", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 456, "image_count": 2, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_89", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 457, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_90", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 458, "image_count": 2, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_91", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 459, "image_count": 2, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_92", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 460, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_93", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 461, "image_count": 2, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_94", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 462, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_95", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 463, "image_count": 2, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_96", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 464, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_97", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 465, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_98", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 466, "image_count": 2, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_99", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 467, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_100", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 468, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_101", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 469, "image_count": 2, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_102", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 470, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_103", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 471, "image_count": 2, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_104", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 472, "image_count": 2, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_105", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 473, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_106", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 474, "image_count": 2, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_107", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 475, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_108", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 476, "image_count": 2, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_109", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 477, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_110", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 478, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_111", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 479, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_112", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 480, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_113", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 481, "image_count": 2, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_114", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 482, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_115", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 483, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_116", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 484, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_117", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 485, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_118", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 486, "image_count": 2, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_119", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 487, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_120", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 488, "image_count": 2, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_121", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 489, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_122", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 490, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_123", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 491, "image_count": 2, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_124", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 492, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_125", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 493, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_126", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 494, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_127", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 495, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_128", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 496, "image_count": 2, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_129", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 497, "image_count": 2, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Functional_Correspondence_130", "benchmark": "blink", "split": "val", "config": "Functional_Correspondence", "task": "Functional Correspondence", "row_index": 498, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_1", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 499, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_2", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 500, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_3", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 501, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_4", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 502, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_5", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 503, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_6", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 504, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_7", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 505, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_8", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 506, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_9", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 507, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_10", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 508, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_11", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 509, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_12", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 510, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_13", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 511, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_14", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 512, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_15", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 513, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_16", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 514, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_17", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 515, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_18", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 516, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_19", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 517, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_20", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 518, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_21", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 519, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_22", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 520, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_23", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 521, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_24", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 522, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_25", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 523, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_26", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 524, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_27", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 525, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_28", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 526, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_29", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 527, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_30", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 528, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_31", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 529, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_32", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 530, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_33", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 531, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_34", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 532, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_35", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 533, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_36", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 534, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_37", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 535, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_38", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 536, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_39", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 537, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_40", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 538, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_41", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 539, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_42", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 540, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_43", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 541, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_44", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 542, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_45", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 543, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_46", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 544, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_47", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 545, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_48", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 546, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_49", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 547, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_50", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 548, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_51", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 549, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_52", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 550, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_53", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 551, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_54", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 552, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_55", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 553, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_56", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 554, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_57", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 555, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_58", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 556, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_59", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 557, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_60", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 558, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_61", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 559, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_62", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 560, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_63", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 561, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_64", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 562, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_65", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 563, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_66", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 564, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_67", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 565, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_68", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 566, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_69", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 567, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_70", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 568, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_71", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 569, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_72", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 570, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_73", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 571, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_74", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 572, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_75", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 573, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_76", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 574, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_77", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 575, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_78", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 576, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_79", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 577, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_80", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 578, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_81", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 579, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_82", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 580, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_83", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 581, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_84", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 582, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_85", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 583, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_86", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 584, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_87", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 585, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_88", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 586, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_89", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 587, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_90", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 588, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_91", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 589, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_92", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 590, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_93", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 591, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_94", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 592, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_95", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 593, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_96", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 594, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_97", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 595, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_98", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 596, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_99", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 597, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_100", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 598, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_101", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 599, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_102", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 600, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_103", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 601, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_104", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 602, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_105", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 603, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_106", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 604, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_107", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 605, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_108", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 606, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_109", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 607, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_110", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 608, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_111", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 609, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_112", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 610, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_113", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 611, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_114", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 612, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_115", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 613, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_116", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 614, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_117", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 615, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_118", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 616, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_119", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 617, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_120", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 618, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_121", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 619, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_122", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 620, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_123", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 621, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_124", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 622, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_125", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 623, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_126", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 624, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_127", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 625, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_128", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 626, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_129", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 627, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_130", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 628, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_131", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 629, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_132", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 630, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_133", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 631, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_134", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 632, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_135", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 633, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_136", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 634, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_137", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 635, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_138", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 636, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_139", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 637, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_140", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 638, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_141", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 639, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_142", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 640, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_143", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 641, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_144", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 642, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_145", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 643, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_146", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 644, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_147", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 645, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_148", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 646, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_149", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 647, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_IQ_Test_150", "benchmark": "blink", "split": "val", "config": "IQ_Test", "task": "IQ Test", "row_index": 648, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_1", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 649, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_2", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 650, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_3", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 651, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_4", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 652, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_5", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 653, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_6", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 654, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_7", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 655, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_8", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 656, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_9", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 657, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_10", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 658, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_11", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 659, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_12", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 660, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_13", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 661, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_14", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 662, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_15", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 663, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_16", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 664, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_17", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 665, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_18", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 666, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_19", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 667, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_20", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 668, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_21", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 669, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_22", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 670, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_23", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 671, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_24", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 672, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_25", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 673, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_26", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 674, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_27", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 675, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_28", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 676, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_29", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 677, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_30", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 678, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_31", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 679, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_32", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 680, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_33", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 681, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_34", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 682, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_35", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 683, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_36", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 684, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_37", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 685, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_38", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 686, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_39", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 687, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_40", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 688, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_41", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 689, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_42", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 690, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_43", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 691, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_44", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 692, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_45", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 693, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_46", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 694, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_47", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 695, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_48", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 696, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_49", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 697, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_50", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 698, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_51", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 699, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_52", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 700, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_53", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 701, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_54", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 702, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_55", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 703, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_56", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 704, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_57", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 705, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_58", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 706, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_59", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 707, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_60", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 708, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_61", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 709, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_62", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 710, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_63", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 711, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_64", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 712, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_65", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 713, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_66", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 714, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_67", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 715, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_68", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 716, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_69", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 717, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_70", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 718, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_71", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 719, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_72", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 720, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_73", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 721, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_74", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 722, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_75", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 723, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_76", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 724, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_77", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 725, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_78", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 726, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_79", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 727, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_80", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 728, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_81", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 729, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_82", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 730, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_83", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 731, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_84", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 732, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_85", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 733, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_86", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 734, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_87", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 735, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_88", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 736, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_89", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 737, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_90", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 738, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_91", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 739, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_92", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 740, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_93", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 741, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_94", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 742, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_95", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 743, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_96", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 744, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_97", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 745, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_98", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 746, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_99", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 747, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_100", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 748, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_101", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 749, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_102", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 750, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_103", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 751, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_104", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 752, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_105", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 753, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_106", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 754, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_107", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 755, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_108", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 756, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_109", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 757, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_110", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 758, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_111", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 759, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_112", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 760, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_113", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 761, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_114", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 762, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_115", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 763, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_116", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 764, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_117", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 765, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_118", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 766, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_119", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 767, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_120", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 768, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_121", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 769, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_122", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 770, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_123", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 771, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_124", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 772, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_125", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 773, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_126", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 774, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_127", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 775, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_128", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 776, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_129", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 777, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_130", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 778, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_131", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 779, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_132", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 780, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_133", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 781, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_134", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 782, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_135", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 783, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_136", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 784, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_137", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 785, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_138", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 786, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_139", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 787, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_140", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 788, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_141", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 789, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_142", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 790, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_143", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 791, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_144", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 792, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_145", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 793, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_146", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 794, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_147", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 795, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_148", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 796, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_149", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 797, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Jigsaw_150", "benchmark": "blink", "split": "val", "config": "Jigsaw", "task": "Jigsaw", "row_index": 798, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_1", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 799, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_2", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 800, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_3", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 801, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_4", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 802, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_5", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 803, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_6", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 804, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_7", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 805, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_8", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 806, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_9", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 807, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_10", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 808, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_11", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 809, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_12", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 810, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_13", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 811, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_14", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 812, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_15", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 813, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_16", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 814, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_17", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 815, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_18", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 816, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_19", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 817, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_20", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 818, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_21", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 819, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_22", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 820, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_23", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 821, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_24", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 822, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_25", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 823, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_26", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 824, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_27", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 825, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_28", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 826, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_29", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 827, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_30", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 828, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_31", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 829, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_32", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 830, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_33", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 831, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_34", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 832, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_35", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 833, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_36", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 834, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_37", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 835, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_38", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 836, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_39", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 837, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_40", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 838, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_41", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 839, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_42", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 840, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_43", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 841, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_44", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 842, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_45", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 843, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_46", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 844, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_47", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 845, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_48", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 846, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_49", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 847, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_50", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 848, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_51", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 849, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_52", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 850, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_53", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 851, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_54", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 852, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_55", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 853, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_56", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 854, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_57", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 855, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_58", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 856, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_59", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 857, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_60", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 858, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_61", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 859, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_62", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 860, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_63", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 861, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_64", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 862, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_65", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 863, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_66", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 864, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_67", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 865, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_68", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 866, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_69", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 867, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_70", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 868, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_71", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 869, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_72", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 870, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_73", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 871, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_74", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 872, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_75", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 873, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_76", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 874, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_77", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 875, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_78", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 876, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_79", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 877, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_80", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 878, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_81", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 879, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_82", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 880, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_83", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 881, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_84", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 882, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_85", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 883, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_86", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 884, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_87", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 885, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_88", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 886, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_89", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 887, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_90", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 888, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_91", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 889, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_92", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 890, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_93", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 891, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_94", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 892, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_95", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 893, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_96", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 894, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_97", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 895, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_98", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 896, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_99", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 897, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_100", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 898, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_101", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 899, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_102", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 900, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_103", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 901, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_104", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 902, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_105", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 903, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_106", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 904, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_107", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 905, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_108", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 906, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_109", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 907, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_110", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 908, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_111", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 909, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_112", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 910, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_113", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 911, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_114", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 912, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_115", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 913, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_116", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 914, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_117", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 915, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_118", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 916, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_119", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 917, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_120", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 918, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_121", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 919, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_122", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 920, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_123", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 921, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_124", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 922, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_125", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 923, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_126", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 924, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_127", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 925, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_128", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 926, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_129", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 927, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_130", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 928, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_131", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 929, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_132", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 930, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Multi-view_Reasoning_133", "benchmark": "blink", "split": "val", "config": "Multi-view_Reasoning", "task": "Multi-view Reasoning", "row_index": 931, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_1", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 932, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_2", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 933, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_3", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 934, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_4", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 935, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_5", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 936, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_6", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 937, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_7", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 938, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_8", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 939, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_9", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 940, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_10", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 941, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_11", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 942, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_12", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 943, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_13", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 944, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_14", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 945, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_15", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 946, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_16", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 947, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_17", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 948, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_18", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 949, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_19", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 950, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_20", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 951, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_21", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 952, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_22", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 953, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_23", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 954, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_24", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 955, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_25", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 956, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_26", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 957, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_27", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 958, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_28", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 959, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_29", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 960, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_30", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 961, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_31", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 962, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_32", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 963, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_33", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 964, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_34", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 965, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_35", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 966, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_36", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 967, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_37", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 968, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_38", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 969, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_39", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 970, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_40", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 971, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_41", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 972, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_42", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 973, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_43", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 974, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_44", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 975, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_45", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 976, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_46", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 977, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_47", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 978, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_48", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 979, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_49", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 980, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_50", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 981, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_51", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 982, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_52", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 983, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_53", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 984, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_54", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 985, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_55", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 986, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_56", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 987, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_57", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 988, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_58", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 989, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_59", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 990, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_60", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 991, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_61", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 992, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_62", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 993, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_63", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 994, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_64", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 995, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_65", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 996, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_66", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 997, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_67", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 998, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_68", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 999, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_69", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1000, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_70", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1001, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_71", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1002, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_72", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1003, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_73", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1004, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_74", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1005, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_75", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1006, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_76", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1007, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_77", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1008, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_78", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1009, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_79", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1010, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_80", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1011, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_81", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1012, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_82", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1013, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_83", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1014, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_84", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1015, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_85", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1016, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_86", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1017, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_87", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1018, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_88", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1019, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_89", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1020, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_90", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1021, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_91", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1022, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_92", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1023, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_93", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1024, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_94", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1025, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_95", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1026, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_96", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1027, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_97", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1028, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_98", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1029, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_99", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1030, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_100", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1031, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_101", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1032, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_102", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1033, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_103", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1034, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_104", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1035, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_105", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1036, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_106", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1037, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_107", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1038, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_108", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1039, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_109", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1040, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_110", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1041, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_111", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1042, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_112", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1043, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_113", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1044, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_114", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1045, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_115", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1046, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_116", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1047, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_117", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1048, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_118", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1049, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_119", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1050, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_120", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1051, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_121", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1052, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Object_Localization_122", "benchmark": "blink", "split": "val", "config": "Object_Localization", "task": "Object Localization", "row_index": 1053, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_1", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1054, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_2", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1055, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_3", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1056, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_4", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1057, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_5", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1058, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_6", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1059, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_7", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1060, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_8", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1061, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_9", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1062, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_10", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1063, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_11", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1064, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_12", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1065, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_13", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1066, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_14", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1067, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_15", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1068, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_16", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1069, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_17", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1070, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_18", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1071, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_19", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1072, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_20", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1073, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_21", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1074, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_22", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1075, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_23", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1076, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_24", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1077, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_25", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1078, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_26", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1079, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_27", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1080, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_28", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1081, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_29", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1082, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_30", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1083, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_31", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1084, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_32", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1085, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_33", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1086, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_34", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1087, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_35", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1088, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_36", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1089, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_37", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1090, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_38", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1091, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_39", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1092, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_40", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1093, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_41", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1094, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_42", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1095, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_43", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1096, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_44", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1097, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_45", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1098, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_46", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1099, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_47", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1100, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_48", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1101, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_49", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1102, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_50", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1103, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_51", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1104, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_52", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1105, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_53", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1106, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_54", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1107, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_55", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1108, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_56", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1109, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_57", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1110, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_58", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1111, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_59", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1112, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_60", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1113, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_61", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1114, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_62", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1115, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_63", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1116, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_64", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1117, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_65", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1118, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_66", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1119, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_67", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1120, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_68", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1121, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_69", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1122, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_70", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1123, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_71", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1124, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_72", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1125, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_73", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1126, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_74", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1127, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_75", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1128, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_76", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1129, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_77", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1130, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_78", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1131, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_79", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1132, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_80", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1133, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_81", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1134, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_82", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1135, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_83", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1136, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_84", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1137, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_85", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1138, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_86", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1139, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_87", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1140, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_88", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1141, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_89", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1142, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_90", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1143, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_91", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1144, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_92", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1145, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_93", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1146, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_94", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1147, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_95", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1148, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_96", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1149, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_97", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1150, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_98", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1151, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_99", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1152, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_100", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1153, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_101", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1154, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_102", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1155, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_103", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1156, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_104", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1157, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_105", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1158, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_106", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1159, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_107", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1160, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_108", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1161, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_109", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1162, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_110", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1163, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_111", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1164, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_112", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1165, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_113", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1166, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_114", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1167, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_115", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1168, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_116", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1169, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_117", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1170, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_118", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1171, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_119", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1172, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_120", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1173, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_121", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1174, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_122", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1175, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_123", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1176, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Depth_124", "benchmark": "blink", "split": "val", "config": "Relative_Depth", "task": "Relative Depth", "row_index": 1177, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_1", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1178, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_2", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1179, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_3", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1180, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_4", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1181, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_5", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1182, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_6", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1183, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_7", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1184, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_8", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1185, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_9", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1186, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_10", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1187, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_11", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1188, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_12", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1189, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_13", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1190, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_14", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1191, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_15", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1192, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_16", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1193, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_17", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1194, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_18", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1195, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_19", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1196, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_20", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1197, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_21", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1198, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_22", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1199, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_23", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1200, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_24", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1201, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_25", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1202, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_26", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1203, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_27", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1204, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_28", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1205, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_29", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1206, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_30", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1207, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_31", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1208, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_32", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1209, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_33", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1210, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_34", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1211, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_35", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1212, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_36", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1213, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_37", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1214, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_38", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1215, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_39", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1216, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_40", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1217, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_41", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1218, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_42", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1219, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_43", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1220, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_44", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1221, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_45", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1222, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_46", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1223, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_47", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1224, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_48", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1225, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_49", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1226, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_50", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1227, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_51", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1228, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_52", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1229, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_53", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1230, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_54", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1231, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_55", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1232, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_56", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1233, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_57", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1234, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_58", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1235, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_59", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1236, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_60", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1237, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_61", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1238, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_62", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1239, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_63", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1240, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_64", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1241, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_65", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1242, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_66", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1243, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_67", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1244, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_68", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1245, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_69", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1246, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_70", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1247, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_71", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1248, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_72", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1249, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_73", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1250, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_74", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1251, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_75", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1252, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_76", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1253, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_77", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1254, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_78", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1255, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_79", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1256, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_80", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1257, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_81", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1258, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_82", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1259, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_83", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1260, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_84", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1261, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_85", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1262, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_86", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1263, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_87", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1264, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_88", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1265, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_89", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1266, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_90", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1267, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_91", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1268, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_92", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1269, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_93", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1270, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_94", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1271, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_95", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1272, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_96", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1273, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_97", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1274, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_98", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1275, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_99", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1276, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_100", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1277, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_101", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1278, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_102", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1279, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_103", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1280, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_104", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1281, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_105", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1282, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_106", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1283, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_107", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1284, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_108", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1285, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_109", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1286, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_110", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1287, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_111", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1288, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_112", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1289, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_113", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1290, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_114", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1291, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_115", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1292, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_116", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1293, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_117", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1294, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_118", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1295, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_119", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1296, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_120", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1297, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_121", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1298, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_122", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1299, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_123", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1300, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_124", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1301, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_125", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1302, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_126", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1303, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_127", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1304, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_128", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1305, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_129", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1306, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_130", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1307, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_131", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1308, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_132", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1309, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_133", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1310, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Relative_Reflectance_134", "benchmark": "blink", "split": "val", "config": "Relative_Reflectance", "task": "Relative Reflectance", "row_index": 1311, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_1", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1312, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_2", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1313, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_3", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1314, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_4", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1315, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_5", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1316, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_6", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1317, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_7", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1318, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_8", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1319, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_9", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1320, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_10", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1321, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_11", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1322, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_12", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1323, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_13", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1324, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_14", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1325, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_15", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1326, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_16", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1327, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_17", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1328, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_18", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1329, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_19", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1330, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_20", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1331, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_21", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1332, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_22", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1333, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_23", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1334, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_24", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1335, "image_count": 2, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_25", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1336, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_26", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1337, "image_count": 2, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_27", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1338, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_28", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1339, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_29", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1340, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_30", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1341, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_31", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1342, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_32", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1343, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_33", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1344, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_34", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1345, "image_count": 2, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_35", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1346, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_36", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1347, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_37", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1348, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_38", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1349, "image_count": 2, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_39", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1350, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_40", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1351, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_41", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1352, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_42", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1353, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_43", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1354, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_44", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1355, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_45", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1356, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_46", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1357, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_47", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1358, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_48", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1359, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_49", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1360, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_50", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1361, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_51", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1362, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_52", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1363, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_53", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1364, "image_count": 2, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_54", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1365, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_55", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1366, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_56", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1367, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_57", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1368, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_58", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1369, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_59", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1370, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_60", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1371, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_61", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1372, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_62", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1373, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_63", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1374, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_64", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1375, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_65", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1376, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_66", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1377, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_67", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1378, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_68", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1379, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_69", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1380, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_70", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1381, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_71", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1382, "image_count": 2, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_72", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1383, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_73", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1384, "image_count": 2, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_74", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1385, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_75", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1386, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_76", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1387, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_77", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1388, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_78", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1389, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_79", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1390, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_80", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1391, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_81", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1392, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_82", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1393, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_83", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1394, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_84", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1395, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_85", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1396, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_86", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1397, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_87", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1398, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_88", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1399, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_89", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1400, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_90", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1401, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_91", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1402, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_92", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1403, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_93", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1404, "image_count": 2, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_94", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1405, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_95", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1406, "image_count": 2, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_96", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1407, "image_count": 2, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_97", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1408, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_98", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1409, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_99", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1410, "image_count": 2, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_100", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1411, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_101", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1412, "image_count": 2, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_102", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1413, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_103", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1414, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_104", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1415, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_105", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1416, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_106", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1417, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_107", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1418, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_108", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1419, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_109", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1420, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_110", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1421, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_111", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1422, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_112", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1423, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_113", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1424, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_114", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1425, "image_count": 2, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_115", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1426, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_116", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1427, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_117", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1428, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_118", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1429, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_119", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1430, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_120", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1431, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_121", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1432, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_122", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1433, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_123", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1434, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_124", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1435, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_125", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1436, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_126", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1437, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_127", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1438, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_128", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1439, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_129", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1440, "image_count": 2, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_130", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1441, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_131", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1442, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_132", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1443, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_133", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1444, "image_count": 2, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_134", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1445, "image_count": 2, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_135", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1446, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_136", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1447, "image_count": 2, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_137", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1448, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_138", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1449, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Semantic_Correspondence_139", "benchmark": "blink", "split": "val", "config": "Semantic_Correspondence", "task": "Semantic Correspondence", "row_index": 1450, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_1", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1451, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_2", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1452, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_3", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1453, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_4", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1454, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_5", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1455, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_6", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1456, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_7", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1457, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_8", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1458, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_9", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1459, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_10", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1460, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_11", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1461, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_12", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1462, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_13", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1463, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_14", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1464, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_15", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1465, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_16", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1466, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_17", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1467, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_18", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1468, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_19", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1469, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_20", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1470, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_21", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1471, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_22", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1472, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_23", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1473, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_24", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1474, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_25", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1475, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_26", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1476, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_27", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1477, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_28", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1478, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_29", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1479, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_30", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1480, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_31", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1481, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_32", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1482, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_33", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1483, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_34", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1484, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_35", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1485, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_36", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1486, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_37", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1487, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_38", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1488, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_39", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1489, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_40", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1490, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_41", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1491, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_42", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1492, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_43", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1493, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_44", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1494, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_45", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1495, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_46", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1496, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_47", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1497, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_48", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1498, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_49", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1499, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_50", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1500, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_51", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1501, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_52", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1502, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_53", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1503, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_54", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1504, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_55", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1505, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_56", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1506, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_57", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1507, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_58", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1508, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_59", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1509, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_60", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1510, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_61", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1511, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_62", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1512, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_63", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1513, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_64", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1514, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_65", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1515, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_66", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1516, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_67", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1517, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_68", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1518, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_69", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1519, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_70", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1520, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_71", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1521, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_72", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1522, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_73", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1523, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_74", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1524, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_75", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1525, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_76", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1526, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_77", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1527, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_78", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1528, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_79", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1529, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_80", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1530, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_81", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1531, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_82", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1532, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_83", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1533, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_84", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1534, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_85", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1535, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_86", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1536, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_87", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1537, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_88", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1538, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_89", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1539, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_90", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1540, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_91", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1541, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_92", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1542, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_93", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1543, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_94", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1544, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_95", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1545, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_96", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1546, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_97", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1547, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_98", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1548, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_99", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1549, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_100", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1550, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_101", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1551, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_102", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1552, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_103", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1553, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_104", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1554, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_105", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1555, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_106", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1556, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_107", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1557, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_108", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1558, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_109", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1559, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_110", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1560, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_111", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1561, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_112", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1562, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_113", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1563, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_114", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1564, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_115", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1565, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_116", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1566, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_117", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1567, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_118", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1568, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_119", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1569, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_120", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1570, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_121", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1571, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_122", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1572, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_123", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1573, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_124", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1574, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_125", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1575, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_126", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1576, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_127", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1577, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_128", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1578, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_129", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1579, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_130", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1580, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_131", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1581, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_132", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1582, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_133", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1583, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_134", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1584, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_135", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1585, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_136", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1586, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_137", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1587, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_138", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1588, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_139", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1589, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_140", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1590, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_141", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1591, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_142", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1592, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Spatial_Relation_143", "benchmark": "blink", "split": "val", "config": "Spatial_Relation", "task": "Spatial Relation", "row_index": 1593, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_1", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1594, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_2", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1595, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_3", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1596, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_4", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1597, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_5", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1598, "image_count": 2, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_6", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1599, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_7", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1600, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_8", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1601, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_9", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1602, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_10", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1603, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_11", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1604, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_12", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1605, "image_count": 2, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_13", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1606, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_14", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1607, "image_count": 2, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_15", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1608, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_16", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1609, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_17", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1610, "image_count": 2, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_18", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1611, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_19", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1612, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_20", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1613, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_21", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1614, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_22", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1615, "image_count": 2, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_23", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1616, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_24", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1617, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_25", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1618, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_26", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1619, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_27", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1620, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_28", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1621, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_29", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1622, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_30", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1623, "image_count": 2, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_31", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1624, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_32", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1625, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_33", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1626, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_34", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1627, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_35", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1628, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_36", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1629, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_37", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1630, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_38", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1631, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_39", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1632, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_40", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1633, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_41", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1634, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_42", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1635, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_43", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1636, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_44", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1637, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_45", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1638, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_46", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1639, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_47", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1640, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_48", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1641, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_49", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1642, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_50", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1643, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_51", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1644, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_52", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1645, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_53", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1646, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_54", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1647, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_55", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1648, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_56", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1649, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_57", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1650, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_58", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1651, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_59", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1652, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_60", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1653, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_61", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1654, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_62", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1655, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_63", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1656, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_64", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1657, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_65", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1658, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_66", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1659, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_67", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1660, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_68", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1661, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_69", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1662, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_70", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1663, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_71", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1664, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_72", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1665, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_73", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1666, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_74", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1667, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_75", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1668, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_76", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1669, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_77", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1670, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_78", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1671, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_79", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1672, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_80", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1673, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_81", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1674, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_82", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1675, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_83", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1676, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_84", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1677, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_85", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1678, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_86", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1679, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_87", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1680, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_88", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1681, "image_count": 2, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_89", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1682, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_90", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1683, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_91", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1684, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_92", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1685, "image_count": 2, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_93", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1686, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_94", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1687, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_95", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1688, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_96", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1689, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_97", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1690, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_98", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1691, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_99", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1692, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_100", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1693, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_101", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1694, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_102", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1695, "image_count": 2, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_103", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1696, "image_count": 2, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_104", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1697, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_105", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1698, "image_count": 2, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_106", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1699, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_107", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1700, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_108", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1701, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_109", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1702, "image_count": 2, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_110", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1703, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_111", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1704, "image_count": 2, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_112", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1705, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_113", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1706, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_114", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1707, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_115", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1708, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_116", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1709, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_117", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1710, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_118", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1711, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_119", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1712, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_120", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1713, "image_count": 2, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_121", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1714, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_122", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1715, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_123", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1716, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_124", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1717, "image_count": 2, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_125", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1718, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_126", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1719, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_127", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1720, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_128", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1721, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_129", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1722, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_130", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1723, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_131", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1724, "image_count": 2, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_132", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1725, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_133", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1726, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_134", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1727, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_135", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1728, "image_count": 2, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_136", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1729, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_137", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1730, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_138", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1731, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_139", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1732, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_140", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1733, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_141", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1734, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_142", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1735, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_143", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1736, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_144", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1737, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_145", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1738, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_146", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1739, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_147", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1740, "image_count": 2, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_148", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1741, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_149", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1742, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_150", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1743, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_151", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1744, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_152", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1745, "image_count": 2, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_153", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1746, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_154", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1747, "image_count": 2, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_155", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1748, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_156", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1749, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_157", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1750, "image_count": 2, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_158", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1751, "image_count": 2, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_159", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1752, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_160", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1753, "image_count": 2, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_161", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1754, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_162", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1755, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_163", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1756, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_164", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1757, "image_count": 2, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_165", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1758, "image_count": 2, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_166", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1759, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_167", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1760, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_168", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1761, "image_count": 2, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_169", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1762, "image_count": 2, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_170", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1763, "image_count": 2, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_171", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1764, "image_count": 2, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Correspondence_172", "benchmark": "blink", "split": "val", "config": "Visual_Correspondence", "task": "Visual Correspondence", "row_index": 1765, "image_count": 2, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_1", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1766, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_2", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1767, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_3", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1768, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_4", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1769, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_5", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1770, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_6", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1771, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_7", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1772, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_8", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1773, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_9", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1774, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_10", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1775, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_11", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1776, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_12", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1777, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_13", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1778, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_14", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1779, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_15", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1780, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_16", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1781, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_17", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1782, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_18", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1783, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_19", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1784, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_20", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1785, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_21", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1786, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_22", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1787, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_23", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1788, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_24", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1789, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_25", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1790, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_26", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1791, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_27", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1792, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_28", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1793, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_29", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1794, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_30", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1795, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_31", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1796, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_32", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1797, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_33", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1798, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_34", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1799, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_35", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1800, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_36", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1801, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_37", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1802, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_38", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1803, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_39", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1804, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_40", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1805, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_41", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1806, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_42", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1807, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_43", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1808, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_44", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1809, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_45", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1810, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_46", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1811, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_47", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1812, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_48", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1813, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_49", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1814, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_50", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1815, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_51", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1816, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_52", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1817, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_53", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1818, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_54", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1819, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_55", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1820, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_56", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1821, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_57", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1822, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_58", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1823, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_59", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1824, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_60", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1825, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_61", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1826, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_62", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1827, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_63", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1828, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_64", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1829, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_65", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1830, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_66", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1831, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_67", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1832, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_68", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1833, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_69", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1834, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_70", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1835, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_71", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1836, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_72", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1837, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_73", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1838, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_74", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1839, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_75", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1840, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_76", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1841, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_77", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1842, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_78", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1843, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_79", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1844, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_80", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1845, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_81", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1846, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_82", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1847, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_83", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1848, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_84", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1849, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_85", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1850, "image_count": 3, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_86", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1851, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_87", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1852, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_88", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1853, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_89", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1854, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_90", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1855, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_91", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1856, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_92", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1857, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_93", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1858, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_94", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1859, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_95", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1860, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_96", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1861, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_97", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1862, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_98", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1863, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_99", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1864, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_100", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1865, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_101", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1866, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_102", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1867, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_103", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1868, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_104", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1869, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_105", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1870, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_106", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1871, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_107", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1872, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_108", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1873, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_109", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1874, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_110", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1875, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_111", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1876, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_112", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1877, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_113", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1878, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_114", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1879, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_115", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1880, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_116", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1881, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_117", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1882, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_118", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1883, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_119", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1884, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_120", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1885, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_121", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1886, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_122", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1887, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_123", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1888, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_124", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1889, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_125", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1890, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_126", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1891, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_127", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1892, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_128", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1893, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_129", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1894, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_130", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1895, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_131", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1896, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_132", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1897, "image_count": 3, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_133", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1898, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_134", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1899, "image_count": 3, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "val_Visual_Similarity_135", "benchmark": "blink", "split": "val", "config": "Visual_Similarity", "task": "Visual Similarity", "row_index": 1900, "image_count": 3, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/blink_full_val/swanlab.json b/reports/evaluations/checkpoint-7000/blink_full_val/swanlab.json new file mode 100644 index 0000000000000000000000000000000000000000..6753ad47f1be90ba6962ba2edc535302f1c270f1 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/blink_full_val/swanlab.json @@ -0,0 +1,6 @@ +{ + "enabled": true, + "retry_upload": true, + "run_id": "fbdon9l7", + "run_url": "https://swanlab.cn/@Oranger/unified-model/runs/fbdon9l7" +} diff --git a/reports/evaluations/checkpoint-7000/blink_full_val/swanlab_retry/.gitignore b/reports/evaluations/checkpoint-7000/blink_full_val/swanlab_retry/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..f59ec20aabf5842d237244ece8c81ab184faeac1 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/blink_full_val/swanlab_retry/.gitignore @@ -0,0 +1 @@ +* \ No newline at end of file diff --git a/reports/evaluations/checkpoint-7000/blink_full_val/swanlab_retry/run-20260810_115147-fbdon9l7/debug/debug.log b/reports/evaluations/checkpoint-7000/blink_full_val/swanlab_retry/run-20260810_115147-fbdon9l7/debug/debug.log new file mode 100644 index 0000000000000000000000000000000000000000..51ff9b2c880a9cf8697b78d31a9a35878cceb3b9 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/blink_full_val/swanlab_retry/run-20260810_115147-fbdon9l7/debug/debug.log @@ -0,0 +1 @@ +Diagnostic log bound to file: /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/blink_full_val/swanlab_retry/run-20260810_115147-fbdon9l7/debug/debug.log diff --git 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sort: 8 + value: + '1': 793 + '2': 574 + '3': 402 + '4': 132 +manifest: + desc: '' + sort: 9 + value: /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/prepared/blink_val/manifest.jsonl +manifest_sha256: + desc: '' + sort: 10 + value: 1394ee1149d0669ad03c424bf4523940301d2c3bacfd7f41c2873b8b4fe136ab +max_new_tokens: + desc: '' + sort: 11 + value: 256 +model_path: + desc: '' + sort: 12 + value: /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/merged/checkpoint-7000-merged +required_token_ids: + desc: '' + sort: 13 + value: + : 151935 + : 151668 + : 151934 + : 151667 + <|depth_pad|>: 151931 + <|dino_pad|>: 151930 + <|pidinet_pad|>: 151932 + <|sam_pad|>: 151929 + <|siglip_pad|>: 151933 +sample_limit: + desc: '' + sort: 14 + value: {} +scoring: + desc: '' + sort: 15 + value: deterministic option exact-match; no LLM judge +split: + desc: '' + sort: 16 + value: val +tokenizer_length: + desc: '' + sort: 17 + 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151667, + "<|depth_pad|>": 151931, + "<|dino_pad|>": 151930, + "<|pidinet_pad|>": 151932, + "<|sam_pad|>": 151929, + "<|siglip_pad|>": 151933 + }, + "sample_limit": null, + "scoring": "deterministic option exact-match; no LLM judge", + "split": "test", + "tokenizer_length": 151936, + "world_size": 8 + }, + "metrics": { + "eval/cvbench_2d_accuracy": 0.7746870653685675, + "eval/cvbench_2d_samples": 1438.0, + "eval/cvbench_3d_accuracy": 0.9125, + "eval/cvbench_3d_samples": 1200.0, + "eval/cvbench_accuracy": 0.8373768006065201, + "eval/cvbench_config_macro_accuracy": 0.8435935326842837, + "eval/cvbench_covt_answer_tag_rate": 0.9992418498862775, + "eval/cvbench_covt_any_anchor_rate": 1.0, + "eval/cvbench_covt_depth_tokens_mean": 4.0, + "eval/cvbench_covt_dino_tokens_mean": 4.0, + "eval/cvbench_covt_pidinet_tokens_mean": 4.0, + "eval/cvbench_covt_sam_tokens_mean": 8.0, + "eval/cvbench_covt_siglip_tokens_mean": 4.0, + "eval/cvbench_covt_think_rate": 0.9996209249431387, + "eval/cvbench_errors": 0.0, + "eval/cvbench_parse_rate": 1.0, + "eval/cvbench_samples": 2638.0, + "eval/cvbench_seconds": 922.1189778796397, + "eval/cvbench_task_count_accuracy": 0.6751269035532995, + "eval/cvbench_task_depth_accuracy": 0.9483333333333334, + "eval/cvbench_task_distance_accuracy": 0.8766666666666667, + "eval/cvbench_task_macro_accuracy": 0.8488778797344787, + "eval/cvbench_task_relation_accuracy": 0.8953846153846153 + } +} diff --git a/reports/evaluations/checkpoint-7000/cvbench_full_test/rank_00.jsonl b/reports/evaluations/checkpoint-7000/cvbench_full_test/rank_00.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..78ff993080325ec38eb588af4003672fd9762a7d --- /dev/null +++ b/reports/evaluations/checkpoint-7000/cvbench_full_test/rank_00.jsonl @@ -0,0 +1,330 @@ +{"sample_id": "2D-0000", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 0, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0008", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 8, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0016", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 16, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0024", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 24, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0032", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 32, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0040", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 40, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0048", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 48, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0056", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 56, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0064", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 64, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0072", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 72, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0080", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 80, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0088", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 88, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0096", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 96, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0104", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 104, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0112", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 112, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0120", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 120, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0128", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 128, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0136", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 136, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0144", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 144, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0152", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 152, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0160", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 160, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0168", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 168, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0176", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 176, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0184", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 184, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0192", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 192, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0200", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 200, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0208", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 208, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0216", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 216, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0224", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 224, "image_count": 1, "expected": "E", "predicted": "F", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) 4 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) 4 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 19, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0232", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 232, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0240", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 240, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 3 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 3 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 18, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0248", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 248, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0256", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 256, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0264", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 264, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0272", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 272, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0280", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 280, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0288", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 288, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0296", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 296, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0304", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 304, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0312", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 312, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0320", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 320, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0328", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 328, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0336", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 336, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0344", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 344, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0352", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 352, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0360", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 360, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0368", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 368, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0376", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 376, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0384", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 384, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0392", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 392, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0400", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 400, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0408", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 408, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0416", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 416, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0424", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 424, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0432", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 432, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0440", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 440, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0448", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 448, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0456", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 456, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0464", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 464, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0472", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 472, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0480", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 480, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0488", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 488, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0496", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 496, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0504", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 504, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0512", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 512, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0520", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 520, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0528", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 528, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0536", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 536, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0544", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 544, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0552", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 552, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0560", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 560, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0568", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 568, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0576", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 576, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0584", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 584, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0592", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 592, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0600", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 600, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0608", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 608, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0616", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 616, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0624", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 624, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0632", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 632, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0640", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 640, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0648", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 648, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0656", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 656, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0664", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 664, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0672", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 672, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 7 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 7 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 22, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0680", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 680, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0688", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 688, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0696", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 696, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0704", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 704, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0712", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 712, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0720", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 720, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0728", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 728, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0736", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 736, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0744", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 744, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0752", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 752, "image_count": 1, "expected": "E", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0760", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 760, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0768", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 768, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0776", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 776, "image_count": 1, "expected": "C", "predicted": "E", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 15 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 15 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 16, 20, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0784", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 784, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 4 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 4 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 19, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0792", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 792, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 3 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 3 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151935, 198, 151934, 320, 35, 8, 220, 18, 220, 151935, 151645], "covt_has_think": false, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0800", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 800, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0808", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 808, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0816", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 816, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0824", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 824, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0832", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 832, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0840", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 840, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0848", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 848, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0856", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 856, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0864", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 864, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0872", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 872, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0880", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 880, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0888", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 888, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0896", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 896, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0904", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 904, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0912", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 912, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0920", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 920, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0928", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 928, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0936", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 936, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0944", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 944, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0952", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 952, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0960", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 960, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0968", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 968, "image_count": 1, "expected": "E", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 5 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 5 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 20, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0976", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 976, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 3 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 3 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 18, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0984", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 984, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0992", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 992, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1000", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1000, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1008", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1008, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1016", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1016, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1024", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1024, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1032", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1032, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1040", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1040, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1048", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1048, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1056", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1056, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1064", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1064, "image_count": 1, "expected": "F", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1072", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1072, "image_count": 1, "expected": "E", "predicted": "F", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1080", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1080, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1088", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1088, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1096", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1096, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1104", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1104, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1112", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1112, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1120", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1120, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1128", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1128, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1136", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1136, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1144", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1144, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1152", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1152, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1160", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1160, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1168", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1168, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1176", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1176, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1184", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1184, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1192", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1192, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1200", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1200, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1208", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1208, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1216", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1216, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1224", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1224, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1232", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1232, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1240", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1240, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1248", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1248, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1256", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1256, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1264", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1264, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1272", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1272, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1280", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1280, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1288", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1288, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1296", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1296, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1304", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1304, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1312", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1312, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1320", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1320, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1328", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1328, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1336", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1336, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1344", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1344, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1352", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1352, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1360", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1360, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1368", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1368, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1376", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1376, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1384", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1384, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1392", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1392, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1400", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1400, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1408", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1408, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1416", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1416, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1424", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1424, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1432", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1432, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1440", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1440, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1448", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1448, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1456", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1456, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1464", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1464, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1472", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1472, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1480", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1480, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1488", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1488, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1496", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1496, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1504", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1504, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1512", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1512, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1520", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1520, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1528", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1528, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1536", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1536, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1544", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1544, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1552", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1552, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1560", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1560, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1568", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1568, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1576", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1576, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1584", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1584, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1592", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1592, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1600", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1600, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1608", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1608, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1616", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1616, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1624", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1624, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1632", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1632, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1640", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1640, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1648", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1648, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1656", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1656, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1664", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1664, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1672", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1672, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1680", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1680, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1688", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1688, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1696", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1696, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1704", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1704, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1712", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1712, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1720", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1720, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1728", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1728, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1736", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1736, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1744", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1744, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1752", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1752, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1760", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1760, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1768", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1768, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1776", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1776, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1784", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1784, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1792", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1792, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1800", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1800, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1808", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1808, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1816", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1816, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1824", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1824, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1832", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1832, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1840", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1840, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1848", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1848, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1856", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1856, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1864", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1864, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1872", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1872, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1880", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1880, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1888", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1888, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1896", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1896, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1904", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1904, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1912", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1912, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1920", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1920, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1928", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1928, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1936", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1936, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1944", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1944, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1952", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1952, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1960", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1960, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1968", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1968, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1976", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1976, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1984", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1984, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1992", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1992, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2000", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2000, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2008", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2008, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2016", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2016, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2024", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2024, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2032", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2032, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2040", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2040, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2048", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2048, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2056", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2056, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2064", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2064, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2072", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2072, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2080", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2080, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2088", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2088, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2096", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2096, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2104", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2104, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2112", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2112, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2120", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2120, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2128", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2128, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2136", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2136, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2144", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2144, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2152", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2152, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2160", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2160, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2168", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2168, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2176", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2176, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2184", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2184, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2192", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2192, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2200", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2200, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2208", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2208, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2216", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2216, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2224", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2224, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2232", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2232, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2240", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2240, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2248", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2248, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2256", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2256, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2264", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2264, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2272", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2272, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2280", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2280, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2288", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2288, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2296", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2296, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2304", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2304, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2312", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2312, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2320", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2320, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2328", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2328, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2336", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2336, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2344", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2344, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2352", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2352, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2360", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2360, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2368", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2368, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2376", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2376, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2384", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2384, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2392", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2392, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2400", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2400, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2408", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2408, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2416", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2416, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2424", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2424, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2432", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2432, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2440", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2440, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2448", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2448, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2456", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2456, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2464", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2464, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2472", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2472, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2480", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2480, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2488", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2488, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2496", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2496, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2504", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2504, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2512", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2512, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2520", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2520, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2528", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2528, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2536", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2536, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2544", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2544, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2552", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2552, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2560", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2560, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2568", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2568, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2576", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2576, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2584", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2584, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2592", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2592, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2600", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2600, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2608", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2608, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2616", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2616, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2624", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2624, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2632", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2632, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/cvbench_full_test/rank_01.jsonl b/reports/evaluations/checkpoint-7000/cvbench_full_test/rank_01.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..94701ff53731ddb7cf492f8d939c5a8c67d4fc0b --- /dev/null +++ b/reports/evaluations/checkpoint-7000/cvbench_full_test/rank_01.jsonl @@ -0,0 +1,330 @@ +{"sample_id": "2D-0001", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1, "image_count": 1, "expected": "E", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 5 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 5 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 20, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0009", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 9, "image_count": 1, "expected": "E", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 3 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 3 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 18, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0017", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 17, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0025", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 25, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0033", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 33, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0041", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 41, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0049", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 49, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0057", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 57, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0065", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 65, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0073", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 73, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0081", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 81, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0089", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 89, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0097", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 97, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0105", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 105, "image_count": 1, "expected": "F", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0113", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 113, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0121", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 121, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0129", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 129, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0137", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 137, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0145", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 145, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 7 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 7 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 22, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0153", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 153, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0161", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 161, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0169", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 169, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0177", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 177, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0185", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 185, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0193", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 193, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0201", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 201, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0209", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 209, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0217", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 217, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0225", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 225, "image_count": 1, "expected": "E", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0233", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 233, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0241", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 241, "image_count": 1, "expected": "F", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0249", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 249, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0257", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 257, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0265", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 265, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0273", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 273, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0281", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 281, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0289", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 289, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0297", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 297, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0305", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 305, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0313", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 313, "image_count": 1, "expected": "E", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0321", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 321, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0329", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 329, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0337", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 337, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0345", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 345, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0353", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 353, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0361", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 361, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0369", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 369, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0377", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 377, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0385", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 385, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0393", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 393, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0401", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 401, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0409", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 409, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0417", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 417, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0425", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 425, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0433", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 433, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0441", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 441, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0449", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 449, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0457", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 457, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0465", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 465, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0473", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 473, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0481", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 481, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0489", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 489, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0497", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 497, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0505", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 505, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0513", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 513, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0521", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 521, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0529", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 529, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0537", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 537, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0545", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 545, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0553", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 553, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0561", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 561, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0569", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 569, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0577", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 577, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0585", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 585, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0593", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 593, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0601", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 601, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0609", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 609, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0617", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 617, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0625", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 625, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0633", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 633, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0641", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 641, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0649", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 649, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 14 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 14 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 19, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0657", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 657, "image_count": 1, "expected": "F", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0665", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 665, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0673", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 673, "image_count": 1, "expected": "E", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 13 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 13 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0681", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 681, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0689", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 689, "image_count": 1, "expected": "E", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0697", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 697, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0705", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 705, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0713", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 713, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0721", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 721, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 9 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 9 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 24, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0729", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 729, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0737", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 737, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0745", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 745, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0753", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 753, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0761", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 761, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0769", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 769, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0777", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 777, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0785", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 785, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0793", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 793, "image_count": 1, "expected": "F", "predicted": "E", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 8 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 8 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 23, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0801", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 801, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0809", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 809, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0817", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 817, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0825", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 825, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0833", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 833, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0841", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 841, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0849", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 849, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0857", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 857, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0865", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 865, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0873", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 873, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0881", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 881, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0889", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 889, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 4 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 4 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 19, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0897", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 897, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0905", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 905, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0913", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 913, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0921", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 921, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0929", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 929, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0937", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 937, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0945", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 945, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 5 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 5 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 20, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0953", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 953, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0961", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 961, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0969", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 969, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0977", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 977, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0985", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 985, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0993", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 993, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1001", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1001, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1009", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1009, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1017", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1017, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1025", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1025, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1033", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1033, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1041", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1041, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1049", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1049, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1057", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1057, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1065", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1065, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1073", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1073, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1081", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1081, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1089", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1089, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1097", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1097, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1105", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1105, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1113", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1113, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1121", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1121, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1129", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1129, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1137", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1137, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1145", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1145, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1153", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1153, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1161", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1161, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1169", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1169, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1177", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1177, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1185", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1185, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1193", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1193, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1201", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1201, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1209", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1209, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1217", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1217, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1225", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1225, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1233", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1233, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1241", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1241, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1249", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1249, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1257", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1257, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1265", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1265, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1273", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1273, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1281", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1281, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1289", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1289, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1297", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1297, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1305", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1305, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1313", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1313, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1321", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1321, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1329", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1329, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1337", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1337, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1345", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1345, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1353", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1353, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1361", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1361, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1369", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1369, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1377", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1377, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1385", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1385, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1393", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1393, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1401", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1401, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1409", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1409, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1417", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1417, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1425", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1425, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1433", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1433, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1441", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1441, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1449", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1449, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1457", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1457, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1465", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1465, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1473", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1473, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1481", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1481, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1489", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1489, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1497", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1497, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1505", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1505, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1513", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1513, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1521", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1521, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1529", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1529, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1537", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1537, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1545", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1545, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1553", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1553, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1561", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1561, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1569", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1569, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1577", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1577, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1585", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1585, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1593", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1593, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1601", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1601, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1609", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1609, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1617", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1617, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1625", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1625, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1633", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1633, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1641", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1641, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1649", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1649, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1657", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1657, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1665", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1665, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1673", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1673, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1681", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1681, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1689", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1689, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1697", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1697, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1705", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1705, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1713", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1713, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1721", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1721, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1729", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1729, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1737", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1737, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1745", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1745, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1753", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1753, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1761", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1761, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1769", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1769, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1777", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1777, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1785", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1785, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1793", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1793, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1801", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1801, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1809", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1809, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1817", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1817, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1825", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1825, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1833", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1833, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1841", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1841, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1849", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1849, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1857", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1857, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1865", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1865, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1873", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1873, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1881", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1881, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1889", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1889, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1897", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1897, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1905", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1905, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1913", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1913, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1921", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1921, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1929", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1929, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1937", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1937, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1945", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1945, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1953", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1953, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1961", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1961, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1969", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1969, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1977", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1977, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1985", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1985, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1993", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1993, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2001", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2001, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2009", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2009, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2017", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2017, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2025", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2025, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2033", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2033, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2041", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2041, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2049", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2049, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2057", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2057, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2065", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2065, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2073", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2073, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2081", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2081, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2089", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2089, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2097", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2097, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2105", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2105, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2113", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2113, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2121", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2121, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2129", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2129, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2137", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2137, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2145", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2145, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2153", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2153, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2161", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2161, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2169", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2169, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2177", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2177, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2185", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2185, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2193", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2193, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2201", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2201, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2209", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2209, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2217", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2217, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2225", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2225, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2233", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2233, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2241", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2241, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2249", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2249, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2257", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2257, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2265", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2265, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2273", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2273, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2281", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2281, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2289", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2289, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2297", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2297, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2305", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2305, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2313", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2313, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2321", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2321, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2329", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2329, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2337", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2337, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2345", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2345, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2353", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2353, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2361", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2361, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2369", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2369, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2377", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2377, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2385", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2385, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2393", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2393, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2401", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2401, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2409", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2409, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2417", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2417, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2425", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2425, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2433", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2433, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2441", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2441, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2449", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2449, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2457", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2457, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2465", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2465, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2473", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2473, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2481", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2481, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2489", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2489, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2497", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2497, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2505", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2505, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2513", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2513, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2521", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2521, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2529", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2529, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2537", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2537, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2545", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2545, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2553", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2553, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2561", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2561, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2569", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2569, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2577", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2577, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2585", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2585, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2593", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2593, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2601", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2601, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2609", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2609, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2617", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2617, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2625", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2625, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2633", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2633, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/cvbench_full_test/rank_02.jsonl b/reports/evaluations/checkpoint-7000/cvbench_full_test/rank_02.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1d271c4cb06bdde80feff7a3407e5d182bd041d8 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/cvbench_full_test/rank_02.jsonl @@ -0,0 +1,330 @@ +{"sample_id": "2D-0002", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 2, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0010", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 10, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0018", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 18, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0026", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 26, "image_count": 1, "expected": "A", "predicted": "F", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) 4 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) 4 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 19, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0034", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 34, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0042", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 42, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0050", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 50, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 3 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 3 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 18, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0058", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 58, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0066", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 66, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0074", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 74, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0082", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 82, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0090", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 90, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0098", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 98, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0106", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 106, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0114", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 114, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0122", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 122, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0130", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 130, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0138", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 138, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0146", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 146, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0154", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 154, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0162", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 162, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0170", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 170, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0178", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 178, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0186", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 186, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0194", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 194, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 3 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 3 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 18, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0202", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 202, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0210", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 210, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0218", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 218, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0226", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 226, "image_count": 1, "expected": "B", "predicted": "E", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0234", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 234, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0242", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 242, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0250", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 250, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0258", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 258, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0266", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 266, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0274", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 274, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0282", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 282, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0290", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 290, "image_count": 1, "expected": "E", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0298", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 298, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0306", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 306, "image_count": 1, "expected": "C", "predicted": "E", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0314", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 314, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0322", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 322, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0330", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 330, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0338", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 338, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0346", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 346, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0354", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 354, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0362", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 362, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0370", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 370, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0378", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 378, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0386", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 386, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0394", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 394, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0402", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 402, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0410", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 410, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0418", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 418, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0426", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 426, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0434", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 434, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0442", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 442, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0450", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 450, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0458", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 458, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0466", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 466, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0474", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 474, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0482", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 482, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0490", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 490, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0498", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 498, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0506", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 506, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0514", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 514, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0522", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 522, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0530", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 530, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0538", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 538, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0546", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 546, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0554", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 554, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0562", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 562, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0570", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 570, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0578", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 578, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0586", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 586, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0594", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 594, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0602", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 602, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0610", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 610, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0618", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 618, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0626", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 626, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0634", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 634, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0642", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 642, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0650", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 650, "image_count": 1, "expected": "C", "predicted": "F", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0658", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 658, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0666", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 666, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0674", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 674, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0682", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 682, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0690", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 690, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0698", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 698, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0706", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 706, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0714", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 714, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0722", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 722, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0730", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 730, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0738", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 738, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0746", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 746, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0754", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 754, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0762", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 762, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 10 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 10 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0770", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 770, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0778", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 778, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0786", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 786, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0794", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 794, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0802", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 802, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0810", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 810, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0818", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 818, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0826", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 826, "image_count": 1, "expected": "F", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 9 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 9 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 24, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0834", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 834, "image_count": 1, "expected": "F", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0842", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 842, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0850", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 850, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 9 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 9 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 24, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0858", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 858, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0866", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 866, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0874", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 874, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0882", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 882, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0890", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 890, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0898", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 898, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0906", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 906, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0914", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 914, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0922", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 922, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0930", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 930, "image_count": 1, "expected": "F", "predicted": "F", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) 6 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) 6 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 21, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0938", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 938, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0946", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 946, "image_count": 1, "expected": "A", "predicted": "E", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 4 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 4 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 19, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0954", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 954, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0962", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 962, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 3 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 3 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 18, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0970", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 970, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0978", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 978, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0986", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 986, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0994", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 994, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1002", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1002, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1010", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1010, "image_count": 1, "expected": "F", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1018", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1018, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1026", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1026, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1034", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1034, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1042", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1042, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1050", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1050, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1058", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1058, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1066", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1066, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1074", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1074, "image_count": 1, "expected": "E", "predicted": "F", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1082", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1082, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1090", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1090, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1098", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1098, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1106", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1106, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1114", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1114, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1122", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1122, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1130", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1130, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1138", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1138, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1146", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1146, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1154", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1154, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1162", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1162, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1170", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1170, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1178", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1178, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1186", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1186, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1194", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1194, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1202", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1202, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1210", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1210, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1218", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1218, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1226", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1226, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1234", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1234, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1242", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1242, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1250", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1250, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1258", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1258, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1266", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1266, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1274", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1274, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1282", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1282, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1290", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1290, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1298", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1298, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1306", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1306, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1314", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1314, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1322", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1322, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1330", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1330, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1338", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1338, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1346", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1346, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1354", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1354, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1362", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1362, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1370", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1370, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1378", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1378, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1386", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1386, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1394", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1394, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1402", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1402, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1410", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1410, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1418", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1418, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1426", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1426, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1434", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1434, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1442", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1442, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1450", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1450, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1458", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1458, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1466", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1466, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1474", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1474, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1482", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1482, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1490", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1490, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1498", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1498, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1506", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1506, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1514", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1514, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1522", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1522, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1530", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1530, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1538", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1538, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1546", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1546, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1554", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1554, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1562", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1562, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1570", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1570, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1578", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1578, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1586", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1586, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1594", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1594, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1602", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1602, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1610", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1610, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1618", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1618, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1626", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1626, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1634", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1634, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1642", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1642, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1650", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1650, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1658", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1658, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1666", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1666, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1674", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1674, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1682", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1682, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1690", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1690, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1698", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1698, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1706", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1706, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1714", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1714, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1722", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1722, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1730", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1730, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1738", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1738, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1746", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1746, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1754", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1754, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1762", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1762, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1770", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1770, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1778", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1778, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1786", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1786, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1794", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1794, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1802", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1802, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1810", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1810, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1818", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1818, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1826", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1826, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1834", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1834, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1842", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1842, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1850", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1850, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1858", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1858, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1866", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1866, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1874", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1874, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1882", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1882, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1890", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1890, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1898", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1898, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1906", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1906, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1914", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1914, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1922", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1922, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1930", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1930, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1938", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1938, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1946", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1946, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1954", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1954, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1962", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1962, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1970", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1970, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1978", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1978, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1986", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1986, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1994", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1994, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2002", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2002, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2010", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2010, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2018", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2018, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2026", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2026, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2034", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2034, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2042", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2042, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2050", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2050, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2058", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2058, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2066", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2066, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2074", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2074, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2082", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2082, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2090", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2090, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2098", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2098, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2106", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2106, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2114", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2114, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2122", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2122, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2130", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2130, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2138", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2138, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2146", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2146, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2154", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2154, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2162", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2162, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2170", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2170, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2178", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2178, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2186", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2186, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2194", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2194, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2202", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2202, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2210", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2210, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2218", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2218, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2226", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2226, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2234", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2234, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2242", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2242, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2250", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2250, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2258", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2258, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2266", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2266, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2274", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2274, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2282", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2282, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2290", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2290, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2298", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2298, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2306", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2306, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2314", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2314, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2322", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2322, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2330", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2330, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2338", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2338, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2346", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2346, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2354", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2354, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2362", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2362, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2370", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2370, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2378", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2378, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2386", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2386, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2394", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2394, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2402", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2402, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2410", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2410, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2418", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2418, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2426", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2426, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2434", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2434, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2442", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2442, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2450", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2450, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2458", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2458, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2466", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2466, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2474", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2474, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2482", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2482, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2490", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2490, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2498", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2498, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2506", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2506, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2514", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2514, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2522", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2522, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2530", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2530, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2538", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2538, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2546", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2546, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2554", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2554, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2562", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2562, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2570", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2570, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2578", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2578, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2586", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2586, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2594", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2594, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2602", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2602, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2610", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2610, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2618", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2618, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2626", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2626, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2634", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2634, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/cvbench_full_test/rank_03.jsonl b/reports/evaluations/checkpoint-7000/cvbench_full_test/rank_03.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fd33273722a15af971019fe40a1cb5cfd2b282dc --- /dev/null +++ b/reports/evaluations/checkpoint-7000/cvbench_full_test/rank_03.jsonl @@ -0,0 +1,330 @@ +{"sample_id": "2D-0003", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 3, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0011", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 11, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0019", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 19, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151645], "covt_has_think": true, "covt_has_answer": false, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0027", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 27, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0035", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 35, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0043", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 43, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0051", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 51, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0059", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 59, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0067", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 67, "image_count": 1, "expected": "D", "predicted": "F", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0075", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 75, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0083", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 83, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0091", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 91, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0099", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 99, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0107", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 107, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0115", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 115, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0123", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 123, "image_count": 1, "expected": "E", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0131", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 131, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0139", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 139, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0147", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 147, "image_count": 1, "expected": "C", "predicted": "E", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0155", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 155, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0163", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 163, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0171", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 171, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0179", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 179, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0187", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 187, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0195", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 195, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0203", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 203, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0211", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 211, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0219", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 219, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0227", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 227, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0235", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 235, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0243", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 243, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0251", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 251, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0259", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 259, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0267", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 267, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0275", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 275, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0283", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 283, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0291", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 291, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0299", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 299, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0307", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 307, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0315", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 315, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0323", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 323, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0331", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 331, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0339", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 339, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0347", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 347, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0355", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 355, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0363", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 363, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0371", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 371, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0379", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 379, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0387", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 387, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0395", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 395, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0403", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 403, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0411", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 411, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0419", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 419, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0427", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 427, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0435", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 435, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0443", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 443, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0451", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 451, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0459", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 459, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0467", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 467, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0475", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 475, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0483", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 483, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0491", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 491, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0499", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 499, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0507", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 507, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0515", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 515, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0523", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 523, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0531", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 531, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0539", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 539, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0547", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 547, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0555", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 555, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0563", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 563, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0571", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 571, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0579", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 579, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0587", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 587, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0595", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 595, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0603", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 603, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0611", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 611, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0619", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 619, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0627", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 627, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0635", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 635, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 6 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 6 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 21, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0643", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 643, "image_count": 1, "expected": "E", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 7 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 7 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 22, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0651", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 651, "image_count": 1, "expected": "E", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 6 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 6 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 21, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0659", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 659, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0667", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 667, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0675", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 675, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0683", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 683, "image_count": 1, "expected": "F", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0691", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 691, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0699", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 699, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0707", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 707, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0715", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 715, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0723", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 723, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0731", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 731, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0739", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 739, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0747", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 747, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 4 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 4 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 19, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0755", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 755, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0763", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 763, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0771", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 771, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0779", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 779, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0787", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 787, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0795", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 795, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0803", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 803, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0811", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 811, "image_count": 1, "expected": "E", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0819", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 819, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0827", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 827, "image_count": 1, "expected": "E", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0835", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 835, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0843", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 843, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0851", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 851, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0859", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 859, "image_count": 1, "expected": "F", "predicted": "F", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) 3 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) 3 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 18, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0867", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 867, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0875", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 875, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 9 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 9 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 24, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0883", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 883, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0891", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 891, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0899", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 899, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0907", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 907, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0915", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 915, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0923", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 923, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0931", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 931, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0939", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 939, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0947", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 947, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0955", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 955, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0963", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 963, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0971", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 971, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0979", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 979, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0987", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 987, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0995", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 995, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1003", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1003, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1011", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1011, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1019", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1019, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1027", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1027, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1035", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1035, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1043", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1043, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1051", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1051, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1059", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1059, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1067", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1067, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1075", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1075, "image_count": 1, "expected": "E", "predicted": "F", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1083", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1083, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1091", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1091, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1099", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1099, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1107", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1107, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1115", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1115, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1123", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1123, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1131", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1131, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1139", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1139, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1147", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1147, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1155", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1155, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1163", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1163, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1171", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1171, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1179", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1179, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1187", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1187, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1195", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1195, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1203", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1203, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1211", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1211, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1219", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1219, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1227", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1227, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1235", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1235, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1243", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1243, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1251", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1251, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1259", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1259, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1267", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1267, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1275", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1275, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1283", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1283, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1291", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1291, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1299", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1299, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1307", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1307, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1315", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1315, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1323", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1323, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1331", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1331, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1339", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1339, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1347", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1347, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1355", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1355, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1363", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1363, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1371", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1371, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1379", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1379, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1387", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1387, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1395", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1395, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1403", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1403, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1411", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1411, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1419", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1419, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1427", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1427, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1435", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1435, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1443", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1443, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1451", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1451, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1459", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1459, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1467", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1467, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1475", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1475, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1483", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1483, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1491", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1491, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1499", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1499, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1507", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1507, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1515", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1515, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1523", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1523, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1531", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1531, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1539", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1539, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1547", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1547, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1555", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1555, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1563", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1563, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1571", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1571, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1579", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1579, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1587", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1587, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1595", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1595, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1603", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1603, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1611", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1611, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1619", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1619, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1627", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1627, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1635", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1635, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1643", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1643, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1651", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1651, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1659", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1659, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1667", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1667, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1675", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1675, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1683", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1683, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1691", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1691, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1699", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1699, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1707", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1707, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1715", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1715, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1723", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1723, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1731", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1731, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1739", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1739, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1747", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1747, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1755", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1755, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1763", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1763, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1771", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1771, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1779", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1779, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1787", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1787, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1795", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1795, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1803", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1803, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1811", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1811, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1819", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1819, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1827", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1827, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1835", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1835, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1843", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1843, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1851", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1851, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1859", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1859, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1867", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1867, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1875", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1875, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1883", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1883, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1891", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1891, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1899", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1899, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1907", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1907, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1915", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1915, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1923", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1923, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1931", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1931, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1939", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1939, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1947", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1947, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1955", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1955, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1963", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1963, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1971", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1971, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1979", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1979, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1987", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1987, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1995", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1995, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2003", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2003, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2011", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2011, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2019", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2019, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2027", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2027, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2035", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2035, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2043", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2043, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2051", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2051, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2059", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2059, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2067", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2067, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2075", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2075, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2083", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2083, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2091", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2091, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2099", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2099, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2107", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2107, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2115", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2115, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2123", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2123, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2131", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2131, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2139", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2139, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2147", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2147, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2155", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2155, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2163", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2163, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2171", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2171, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2179", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2179, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2187", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2187, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2195", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2195, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2203", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2203, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2211", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2211, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2219", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2219, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2227", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2227, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2235", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2235, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2243", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2243, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2251", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2251, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2259", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2259, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2267", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2267, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2275", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2275, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2283", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2283, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2291", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2291, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2299", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2299, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2307", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2307, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2315", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2315, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2323", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2323, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2331", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2331, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2339", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2339, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2347", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2347, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2355", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2355, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2363", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2363, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2371", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2371, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2379", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2379, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2387", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2387, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2395", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2395, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2403", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2403, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2411", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2411, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2419", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2419, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) tissues \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) tissues \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 38781, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2427", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2427, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2435", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2435, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2443", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2443, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2451", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2451, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2459", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2459, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2467", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2467, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2475", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2475, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2483", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2483, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2491", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2491, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2499", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2499, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2507", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2507, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2515", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2515, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2523", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2523, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2531", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2531, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2539", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2539, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2547", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2547, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2555", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2555, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2563", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2563, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2571", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2571, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2579", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2579, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2587", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2587, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2595", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2595, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2603", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2603, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2611", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2611, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2619", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2619, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2627", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2627, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2635", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2635, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/cvbench_full_test/rank_04.jsonl b/reports/evaluations/checkpoint-7000/cvbench_full_test/rank_04.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f1d6cdb4bc2cbcd4d7e469ed8755c98b3ff15903 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/cvbench_full_test/rank_04.jsonl @@ -0,0 +1,330 @@ +{"sample_id": "2D-0004", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 4, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0012", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 12, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0020", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 20, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0028", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 28, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0036", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 36, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0044", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 44, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0052", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 52, "image_count": 1, "expected": "F", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0060", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 60, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0068", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 68, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0076", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 76, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0084", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 84, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 3 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 3 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 18, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0092", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 92, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0100", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 100, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0108", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 108, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0116", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 116, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0124", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 124, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0132", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 132, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0140", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 140, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0148", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 148, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0156", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 156, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0164", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 164, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0172", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 172, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0180", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 180, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0188", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 188, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0196", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 196, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0204", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 204, "image_count": 1, "expected": "A", "predicted": "F", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0212", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 212, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0220", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 220, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0228", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 228, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0236", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 236, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0244", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 244, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0252", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 252, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0260", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 260, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0268", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 268, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0276", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 276, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0284", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 284, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0292", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 292, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0300", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 300, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0308", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 308, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0316", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 316, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0324", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 324, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0332", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 332, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0340", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 340, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0348", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 348, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0356", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 356, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0364", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 364, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0372", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 372, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0380", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 380, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0388", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 388, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0396", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 396, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0404", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 404, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0412", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 412, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0420", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 420, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0428", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 428, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0436", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 436, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0444", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 444, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0452", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 452, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0460", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 460, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0468", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 468, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0476", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 476, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0484", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 484, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0492", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 492, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0500", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 500, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0508", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 508, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0516", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 516, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0524", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 524, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0532", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 532, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0540", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 540, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0548", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 548, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0556", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 556, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0564", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 564, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0572", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 572, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0580", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 580, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0588", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 588, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0596", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 596, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0604", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 604, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0612", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 612, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0620", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 620, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0628", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 628, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0636", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 636, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0644", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 644, "image_count": 1, "expected": "E", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0652", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 652, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0660", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 660, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0668", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 668, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0676", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 676, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0684", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 684, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0692", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 692, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0700", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 700, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0708", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 708, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0716", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 716, "image_count": 1, "expected": "E", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0724", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 724, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0732", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 732, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0740", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 740, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0748", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 748, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0756", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 756, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0764", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 764, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 5 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 5 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 20, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0772", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 772, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0780", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 780, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0788", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 788, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0796", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 796, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0804", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 804, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0812", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 812, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0820", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 820, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0828", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 828, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0836", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 836, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0844", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 844, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0852", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 852, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0860", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 860, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0868", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 868, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0876", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 876, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0884", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 884, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0892", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 892, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0900", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 900, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0908", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 908, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0916", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 916, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0924", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 924, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0932", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 932, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0940", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 940, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0948", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 948, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0956", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 956, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0964", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 964, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0972", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 972, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0980", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 980, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0988", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 988, "image_count": 1, "expected": "F", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0996", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 996, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1004", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1004, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1012", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1012, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1020", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1020, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1028", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1028, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1036", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1036, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1044", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1044, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1052", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1052, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1060", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1060, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1068", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1068, "image_count": 1, "expected": "E", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1076", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1076, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1084", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1084, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1092", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1092, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1100", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1100, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1108", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1108, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1116", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1116, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1124", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1124, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1132", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1132, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1140", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1140, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1148", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1148, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1156", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1156, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1164", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1164, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1172", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1172, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1180", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1180, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1188", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1188, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1196", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1196, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1204", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1204, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1212", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1212, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1220", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1220, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1228", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1228, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1236", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1236, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1244", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1244, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1252", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1252, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1260", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1260, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1268", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1268, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1276", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1276, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1284", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1284, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1292", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1292, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1300", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1300, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1308", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1308, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1316", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1316, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1324", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1324, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1332", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1332, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1340", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1340, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1348", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1348, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1356", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1356, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1364", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1364, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1372", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1372, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1380", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1380, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1388", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1388, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1396", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1396, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1404", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1404, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1412", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1412, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1420", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1420, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1428", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1428, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1436", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1436, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1444", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1444, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1452", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1452, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1460", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1460, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1468", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1468, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1476", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1476, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1484", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1484, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1492", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1492, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1500", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1500, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1508", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1508, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1516", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1516, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1524", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1524, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1532", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1532, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1540", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1540, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1548", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1548, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1556", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1556, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1564", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1564, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1572", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1572, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1580", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1580, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1588", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1588, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1596", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1596, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1604", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1604, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1612", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1612, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1620", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1620, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1628", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1628, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1636", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1636, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1644", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1644, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1652", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1652, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1660", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1660, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1668", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1668, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1676", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1676, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1684", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1684, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1692", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1692, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1700", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1700, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1708", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1708, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1716", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1716, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1724", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1724, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1732", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1732, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1740", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1740, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1748", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1748, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1756", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1756, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1764", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1764, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1772", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1772, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1780", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1780, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1788", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1788, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1796", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1796, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1804", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1804, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1812", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1812, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1820", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1820, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1828", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1828, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1836", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1836, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1844", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1844, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1852", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1852, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1860", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1860, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1868", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1868, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1876", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1876, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1884", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1884, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1892", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1892, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1900", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1900, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1908", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1908, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1916", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1916, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1924", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1924, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1932", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1932, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1940", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1940, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1948", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1948, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1956", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1956, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1964", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1964, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1972", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1972, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1980", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1980, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1988", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1988, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1996", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1996, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2004", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2004, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2012", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2012, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2020", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2020, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2028", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2028, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2036", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2036, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2044", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2044, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2052", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2052, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2060", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2060, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2068", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2068, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2076", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2076, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2084", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2084, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2092", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2092, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2100", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2100, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2108", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2108, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2116", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2116, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2124", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2124, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2132", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2132, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2140", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2140, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2148", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2148, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2156", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2156, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2164", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2164, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2172", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2172, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2180", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2180, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2188", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2188, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2196", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2196, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2204", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2204, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2212", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2212, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2220", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2220, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2228", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2228, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2236", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2236, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2244", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2244, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2252", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2252, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2260", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2260, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2268", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2268, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2276", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2276, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2284", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2284, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2292", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2292, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2300", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2300, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2308", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2308, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2316", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2316, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2324", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2324, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2332", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2332, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2340", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2340, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2348", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2348, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2356", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2356, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2364", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2364, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2372", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2372, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2380", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2380, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2388", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2388, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2396", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2396, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2404", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2404, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2412", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2412, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2420", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2420, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2428", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2428, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2436", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2436, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2444", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2444, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2452", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2452, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2460", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2460, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2468", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2468, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2476", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2476, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2484", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2484, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2492", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2492, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2500", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2500, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2508", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2508, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2516", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2516, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2524", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2524, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2532", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2532, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2540", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2540, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2548", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2548, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2556", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2556, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2564", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2564, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2572", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2572, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2580", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2580, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2588", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2588, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2596", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2596, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2604", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2604, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2612", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2612, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2620", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2620, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2628", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2628, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2636", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2636, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/cvbench_full_test/rank_05.jsonl b/reports/evaluations/checkpoint-7000/cvbench_full_test/rank_05.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..27fb1742a008a94017395bf14650022031665c1a --- /dev/null +++ b/reports/evaluations/checkpoint-7000/cvbench_full_test/rank_05.jsonl @@ -0,0 +1,330 @@ +{"sample_id": "2D-0005", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 5, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0013", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 13, "image_count": 1, "expected": "B", "predicted": "F", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0021", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 21, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0029", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 29, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0037", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 37, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0045", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 45, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0053", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 53, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0061", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 61, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0069", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 69, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0077", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 77, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0085", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 85, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0093", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 93, "image_count": 1, "expected": "E", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0101", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 101, "image_count": 1, "expected": "F", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0109", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 109, "image_count": 1, "expected": "E", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0117", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 117, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0125", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 125, "image_count": 1, "expected": "F", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 4 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 4 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 19, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0133", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 133, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0141", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 141, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0149", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 149, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0157", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 157, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 8 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 8 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 23, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0165", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 165, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0173", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 173, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0181", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 181, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0189", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 189, "image_count": 1, "expected": "E", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 3 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 3 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 18, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0197", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 197, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0205", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 205, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 4 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 4 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 19, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0213", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 213, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0221", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 221, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 6 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 6 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 21, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0229", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 229, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0237", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 237, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0245", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 245, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0253", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 253, "image_count": 1, "expected": "A", "predicted": "E", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0261", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 261, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0269", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 269, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0277", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 277, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0285", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 285, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0293", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 293, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0301", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 301, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0309", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 309, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0317", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 317, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0325", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 325, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0333", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 333, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0341", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 341, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0349", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 349, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0357", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 357, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0365", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 365, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0373", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 373, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0381", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 381, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0389", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 389, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0397", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 397, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0405", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 405, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0413", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 413, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0421", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 421, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0429", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 429, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0437", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 437, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0445", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 445, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0453", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 453, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0461", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 461, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0469", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 469, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0477", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 477, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0485", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 485, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0493", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 493, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0501", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 501, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0509", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 509, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0517", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 517, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0525", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 525, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0533", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 533, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0541", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 541, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0549", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 549, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0557", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 557, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0565", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 565, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0573", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 573, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0581", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 581, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0589", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 589, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0597", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 597, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0605", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 605, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0613", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 613, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0621", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 621, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0629", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 629, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0637", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 637, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 11 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 11 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0645", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 645, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0653", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 653, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0661", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 661, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0669", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 669, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0677", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 677, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0685", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 685, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0693", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 693, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0701", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 701, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0709", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 709, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0717", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 717, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0725", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 725, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0733", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 733, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0741", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 741, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0749", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 749, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0757", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 757, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0765", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 765, "image_count": 1, "expected": "B", "predicted": "E", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0773", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 773, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0781", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 781, "image_count": 1, "expected": "E", "predicted": "F", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) 4 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) 4 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 19, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0789", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 789, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0797", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 797, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0805", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 805, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0813", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 813, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0821", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 821, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0829", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 829, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0837", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 837, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0845", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 845, "image_count": 1, "expected": "E", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 3 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 3 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 18, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0853", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 853, "image_count": 1, "expected": "D", "predicted": "E", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 4 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 4 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 19, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0861", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 861, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 6 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 6 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 21, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0869", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 869, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0877", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 877, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0885", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 885, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0893", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 893, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0901", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 901, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0909", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 909, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0917", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 917, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0925", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 925, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0933", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 933, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0941", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 941, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0949", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 949, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0957", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 957, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0965", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 965, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0973", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 973, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0981", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 981, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0989", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 989, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0997", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 997, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1005", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1005, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1013", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1013, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1021", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1021, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1029", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1029, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1037", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1037, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1045", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1045, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1053", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1053, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1061", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1061, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1069", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1069, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1077", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1077, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1085", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1085, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1093", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1093, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1101", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1101, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1109", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1109, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1117", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1117, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1125", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1125, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1133", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1133, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1141", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1141, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1149", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1149, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1157", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1157, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1165", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1165, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1173", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1173, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1181", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1181, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1189", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1189, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1197", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1197, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1205", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1205, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1213", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1213, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1221", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1221, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1229", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1229, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1237", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1237, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1245", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1245, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1253", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1253, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1261", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1261, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1269", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1269, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1277", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1277, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1285", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1285, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1293", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1293, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1301", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1301, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1309", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1309, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1317", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1317, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1325", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1325, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1333", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1333, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1341", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1341, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1349", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1349, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1357", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1357, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1365", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1365, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1373", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1373, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1381", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1381, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1389", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1389, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1397", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1397, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1405", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1405, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1413", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1413, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1421", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1421, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1429", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1429, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1437", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1437, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1445", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1445, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1453", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1453, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1461", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1461, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1469", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1469, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1477", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1477, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1485", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1485, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1493", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1493, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1501", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1501, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1509", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1509, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1517", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1517, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1525", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1525, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1533", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1533, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1541", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1541, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1549", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1549, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1557", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1557, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1565", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1565, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1573", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1573, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1581", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1581, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1589", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1589, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1597", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1597, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1605", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1605, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1613", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1613, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1621", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1621, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1629", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1629, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1637", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1637, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1645", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1645, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1653", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1653, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1661", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1661, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1669", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1669, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1677", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1677, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1685", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1685, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1693", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1693, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1701", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1701, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1709", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1709, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1717", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1717, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1725", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1725, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1733", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1733, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1741", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1741, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1749", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1749, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1757", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1757, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1765", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1765, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1773", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1773, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1781", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1781, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1789", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1789, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1797", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1797, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1805", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1805, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1813", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1813, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1821", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1821, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1829", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1829, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1837", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1837, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1845", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1845, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1853", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1853, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1861", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1861, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1869", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1869, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1877", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1877, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1885", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1885, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1893", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1893, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1901", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1901, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1909", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1909, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1917", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1917, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1925", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1925, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1933", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1933, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1941", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1941, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1949", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1949, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1957", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1957, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1965", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1965, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1973", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1973, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1981", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1981, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1989", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1989, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1997", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1997, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2005", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2005, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2013", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2013, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2021", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2021, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2029", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2029, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2037", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2037, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2045", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2045, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2053", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2053, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2061", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2061, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2069", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2069, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2077", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2077, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2085", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2085, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2093", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2093, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2101", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2101, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2109", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2109, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2117", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2117, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2125", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2125, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2133", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2133, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2141", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2141, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2149", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2149, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2157", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2157, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2165", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2165, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2173", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2173, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2181", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2181, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2189", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2189, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2197", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2197, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2205", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2205, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2213", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2213, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2221", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2221, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2229", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2229, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2237", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2237, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2245", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2245, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2253", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2253, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2261", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2261, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2269", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2269, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2277", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2277, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2285", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2285, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2293", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2293, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2301", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2301, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2309", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2309, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2317", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2317, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2325", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2325, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2333", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2333, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2341", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2341, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2349", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2349, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2357", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2357, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2365", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2365, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2373", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2373, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2381", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2381, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2389", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2389, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2397", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2397, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2405", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2405, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2413", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2413, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2421", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2421, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2429", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2429, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2437", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2437, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2445", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2445, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2453", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2453, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2461", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2461, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2469", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2469, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2477", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2477, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2485", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2485, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2493", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2493, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2501", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2501, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2509", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2509, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2517", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2517, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2525", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2525, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2533", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2533, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2541", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2541, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2549", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2549, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2557", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2557, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2565", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2565, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2573", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2573, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2581", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2581, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2589", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2589, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2597", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2597, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2605", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2605, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2613", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2613, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2621", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2621, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2629", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2629, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2637", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2637, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/cvbench_full_test/rank_06.jsonl b/reports/evaluations/checkpoint-7000/cvbench_full_test/rank_06.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c1cb67c9f528e8590390506f33942086cecfdcb5 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/cvbench_full_test/rank_06.jsonl @@ -0,0 +1,329 @@ +{"sample_id": "2D-0006", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 6, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0014", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 14, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0022", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 22, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0030", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 30, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0038", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 38, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0046", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 46, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0054", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 54, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0062", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 62, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0070", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 70, "image_count": 1, "expected": "E", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0078", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 78, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0086", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 86, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0094", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 94, "image_count": 1, "expected": "F", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0102", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 102, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0110", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 110, "image_count": 1, "expected": "E", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0118", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 118, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0126", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 126, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0134", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 134, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0142", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 142, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0150", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 150, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0158", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 158, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0166", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 166, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0174", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 174, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 5 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 5 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 20, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0182", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 182, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0190", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 190, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0198", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 198, "image_count": 1, "expected": "F", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0206", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 206, "image_count": 1, "expected": "E", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0214", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 214, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0222", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 222, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0230", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 230, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0238", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 238, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0246", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 246, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0254", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 254, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0262", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 262, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0270", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 270, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0278", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 278, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0286", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 286, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0294", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 294, "image_count": 1, "expected": "E", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0302", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 302, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0310", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 310, "image_count": 1, "expected": "F", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 4 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 4 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 19, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0318", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 318, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0326", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 326, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0334", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 334, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0342", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 342, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0350", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 350, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0358", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 358, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0366", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 366, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0374", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 374, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0382", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 382, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0390", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 390, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0398", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 398, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0406", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 406, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0414", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 414, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0422", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 422, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0430", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 430, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0438", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 438, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0446", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 446, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0454", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 454, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0462", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 462, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0470", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 470, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0478", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 478, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0486", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 486, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0494", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 494, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0502", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 502, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0510", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 510, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0518", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 518, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0526", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 526, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0534", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 534, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0542", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 542, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0550", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 550, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0558", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 558, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0566", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 566, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0574", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 574, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0582", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 582, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0590", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 590, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0598", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 598, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0606", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 606, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0614", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 614, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0622", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 622, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0630", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 630, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0638", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 638, "image_count": 1, "expected": "E", "predicted": "F", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0646", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 646, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0654", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 654, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0662", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 662, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0670", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 670, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0678", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 678, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0686", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 686, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0694", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 694, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0702", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 702, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0710", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 710, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0718", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 718, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0726", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 726, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0734", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 734, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0742", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 742, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0750", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 750, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0758", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 758, "image_count": 1, "expected": "F", "predicted": "E", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0766", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 766, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0774", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 774, "image_count": 1, "expected": "F", "predicted": "F", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0782", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 782, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0790", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 790, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0798", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 798, "image_count": 1, "expected": "A", "predicted": "F", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0806", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 806, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0814", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 814, "image_count": 1, "expected": "E", "predicted": "F", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0822", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 822, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0830", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 830, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0838", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 838, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0846", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 846, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0854", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 854, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0862", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 862, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0870", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 870, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0878", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 878, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0886", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 886, "image_count": 1, "expected": "D", "predicted": "E", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0894", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 894, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0902", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 902, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0910", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 910, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0918", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 918, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0926", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 926, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0934", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 934, "image_count": 1, "expected": "F", "predicted": "F", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0942", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 942, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0950", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 950, "image_count": 1, "expected": "E", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0958", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 958, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0966", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 966, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0974", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 974, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0982", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 982, "image_count": 1, "expected": "B", "predicted": "E", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0990", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 990, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 4 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 4 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 19, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0998", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 998, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1006", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1006, "image_count": 1, "expected": "E", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1014", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1014, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1022", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1022, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1030", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1030, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1038", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1038, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1046", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1046, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 3 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 3 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 18, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1054", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1054, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1062", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1062, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1070", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1070, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1078", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1078, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1086", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1086, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1094", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1094, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1102", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1102, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1110", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1110, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1118", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1118, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1126", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1126, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1134", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1134, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1142", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1142, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1150", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1150, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1158", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1158, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1166", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1166, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1174", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1174, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1182", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1182, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1190", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1190, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1198", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1198, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1206", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1206, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1214", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1214, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1222", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1222, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1230", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1230, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1238", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1238, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1246", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1246, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1254", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1254, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1262", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1262, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1270", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1270, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1278", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1278, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1286", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1286, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1294", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1294, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1302", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1302, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1310", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1310, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1318", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1318, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1326", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1326, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1334", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1334, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1342", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1342, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1350", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1350, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1358", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1358, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1366", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1366, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1374", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1374, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1382", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1382, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1390", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1390, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1398", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1398, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1406", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1406, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1414", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1414, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1422", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1422, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1430", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1430, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1438", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1438, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1446", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1446, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1454", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1454, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1462", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1462, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1470", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1470, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1478", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1478, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1486", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1486, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1494", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1494, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1502", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1502, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1510", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1510, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1518", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1518, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1526", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1526, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1534", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1534, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1542", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1542, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1550", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1550, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1558", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1558, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1566", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1566, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1574", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1574, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1582", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1582, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1590", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1590, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1598", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1598, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1606", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1606, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1614", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1614, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1622", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1622, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1630", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1630, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1638", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1638, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1646", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1646, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1654", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1654, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1662", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1662, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1670", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1670, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1678", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1678, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1686", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1686, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1694", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1694, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1702", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1702, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1710", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1710, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1718", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1718, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1726", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1726, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1734", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1734, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1742", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1742, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1750", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1750, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1758", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1758, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1766", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1766, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1774", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1774, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1782", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1782, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1790", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1790, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1798", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1798, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1806", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1806, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1814", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1814, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1822", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1822, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1830", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1830, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1838", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1838, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1846", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1846, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1854", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1854, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1862", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1862, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1870", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1870, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1878", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1878, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1886", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1886, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1894", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1894, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1902", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1902, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1910", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1910, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1918", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1918, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1926", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1926, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1934", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1934, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1942", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1942, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1950", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1950, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1958", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1958, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1966", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1966, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1974", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1974, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1982", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1982, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1990", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1990, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1998", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1998, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2006", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2006, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2014", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2014, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2022", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2022, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2030", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2030, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2038", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2038, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2046", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2046, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2054", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2054, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2062", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2062, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2070", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2070, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2078", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2078, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2086", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2086, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2094", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2094, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2102", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2102, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2110", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2110, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2118", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2118, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2126", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2126, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2134", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2134, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2142", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2142, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2150", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2150, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2158", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2158, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2166", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2166, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2174", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2174, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2182", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2182, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2190", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2190, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2198", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2198, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2206", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2206, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2214", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2214, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2222", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2222, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2230", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2230, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2238", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2238, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2246", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2246, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2254", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2254, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2262", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2262, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2270", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2270, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2278", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2278, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2286", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2286, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2294", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2294, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2302", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2302, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2310", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2310, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2318", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2318, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2326", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2326, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2334", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2334, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2342", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2342, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2350", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2350, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2358", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2358, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2366", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2366, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2374", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2374, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2382", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2382, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2390", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2390, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2398", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2398, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2406", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2406, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2414", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2414, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2422", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2422, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2430", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2430, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2438", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2438, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2446", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2446, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2454", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2454, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2462", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2462, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2470", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2470, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2478", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2478, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2486", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2486, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2494", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2494, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2502", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2502, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2510", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2510, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2518", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2518, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2526", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2526, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2534", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2534, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2542", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2542, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2550", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2550, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2558", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2558, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2566", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2566, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2574", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2574, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2582", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2582, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2590", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2590, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2598", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2598, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2606", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2606, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2614", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2614, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2622", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2622, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2630", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2630, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/cvbench_full_test/rank_07.jsonl b/reports/evaluations/checkpoint-7000/cvbench_full_test/rank_07.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9552ef33759b9bc729940566e7b1b9a2a87767db --- /dev/null +++ b/reports/evaluations/checkpoint-7000/cvbench_full_test/rank_07.jsonl @@ -0,0 +1,329 @@ +{"sample_id": "2D-0007", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 7, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0015", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 15, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0023", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 23, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0031", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 31, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0039", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 39, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0047", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 47, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0055", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 55, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0063", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 63, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151645], "covt_has_think": true, "covt_has_answer": false, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0071", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 71, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0079", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 79, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0087", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 87, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0095", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 95, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0103", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 103, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0111", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 111, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0119", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 119, "image_count": 1, "expected": "E", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0127", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 127, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0135", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 135, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0143", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 143, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0151", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 151, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0159", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 159, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0167", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 167, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0175", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 175, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0183", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 183, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0191", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 191, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0199", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 199, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0207", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 207, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0215", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 215, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0223", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 223, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0231", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 231, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0239", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 239, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0247", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 247, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0255", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 255, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0263", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 263, "image_count": 1, "expected": "E", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0271", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 271, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0279", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 279, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0287", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 287, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0295", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 295, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0303", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 303, "image_count": 1, "expected": "F", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0311", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 311, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0319", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 319, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0327", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 327, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0335", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 335, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0343", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 343, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0351", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 351, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0359", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 359, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0367", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 367, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0375", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 375, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0383", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 383, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0391", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 391, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0399", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 399, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0407", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 407, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0415", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 415, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0423", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 423, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0431", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 431, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0439", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 439, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0447", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 447, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0455", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 455, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0463", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 463, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0471", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 471, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0479", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 479, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0487", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 487, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0495", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 495, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0503", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 503, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0511", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 511, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0519", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 519, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0527", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 527, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0535", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 535, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0543", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 543, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0551", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 551, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0559", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 559, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0567", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 567, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0575", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 575, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0583", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 583, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0591", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 591, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0599", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 599, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0607", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 607, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0615", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 615, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0623", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 623, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0631", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 631, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0639", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 639, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 14 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 14 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0647", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 647, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0655", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 655, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0663", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 663, "image_count": 1, "expected": "B", "predicted": "F", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0671", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 671, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0679", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 679, "image_count": 1, "expected": "C", "predicted": "E", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0687", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 687, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0695", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 695, "image_count": 1, "expected": "F", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0703", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 703, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0711", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 711, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 5 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 5 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 20, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0719", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 719, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0727", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 727, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0735", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 735, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0743", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 743, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0751", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 751, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0759", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 759, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0767", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 767, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0775", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 775, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0783", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 783, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0791", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 791, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0799", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 799, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0807", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 807, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0815", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 815, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0823", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 823, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0831", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 831, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0839", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 839, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0847", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 847, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0855", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 855, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0863", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 863, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0871", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 871, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0879", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 879, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0887", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 887, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0895", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 895, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0903", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 903, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0911", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 911, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0919", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 919, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0927", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 927, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0935", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 935, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0943", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 943, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0951", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 951, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0959", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 959, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0967", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 967, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0975", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 975, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0983", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 983, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0991", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 991, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0999", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 999, "image_count": 1, "expected": "E", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1007", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1007, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1015", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1015, "image_count": 1, "expected": "E", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1023", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1023, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1031", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1031, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1039", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1039, "image_count": 1, "expected": "E", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1047", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1047, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1055", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1055, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1063", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1063, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 9 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 9 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 24, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1071", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1071, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1079", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1079, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1087", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1087, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1095", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1095, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1103", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1103, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1111", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1111, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1119", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1119, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1127", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1127, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1135", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1135, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1143", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1143, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1151", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1151, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1159", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1159, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1167", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1167, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1175", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1175, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1183", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1183, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1191", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1191, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1199", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1199, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1207", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1207, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1215", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1215, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1223", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1223, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1231", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1231, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1239", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1239, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1247", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1247, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1255", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1255, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1263", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1263, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1271", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1271, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1279", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1279, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1287", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1287, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1295", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1295, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1303", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1303, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1311", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1311, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1319", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1319, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1327", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1327, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1335", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1335, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1343", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1343, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1351", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1351, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1359", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1359, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1367", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1367, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1375", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1375, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1383", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1383, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1391", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1391, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1399", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1399, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1407", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1407, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1415", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1415, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1423", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1423, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1431", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1431, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1439", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1439, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1447", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1447, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1455", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1455, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1463", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1463, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1471", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1471, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1479", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1479, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1487", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1487, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1495", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1495, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1503", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1503, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1511", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1511, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1519", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1519, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1527", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1527, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1535", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1535, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1543", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1543, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1551", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1551, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1559", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1559, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1567", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1567, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1575", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1575, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1583", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1583, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1591", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1591, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1599", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1599, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1607", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1607, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1615", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1615, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1623", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1623, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1631", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1631, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1639", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1639, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1647", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1647, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1655", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1655, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1663", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1663, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1671", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1671, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1679", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1679, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1687", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1687, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1695", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1695, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1703", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1703, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1711", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1711, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1719", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1719, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1727", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1727, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1735", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1735, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1743", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1743, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1751", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1751, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1759", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1759, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1767", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1767, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1775", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1775, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1783", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1783, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1791", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1791, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1799", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1799, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1807", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1807, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1815", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1815, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1823", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1823, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1831", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1831, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1839", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1839, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1847", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1847, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1855", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1855, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1863", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1863, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1871", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1871, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1879", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1879, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1887", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1887, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1895", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1895, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1903", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1903, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1911", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1911, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1919", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1919, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1927", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1927, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1935", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1935, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1943", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1943, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1951", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1951, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1959", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1959, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1967", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1967, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1975", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1975, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1983", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1983, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1991", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1991, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1999", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1999, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2007", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2007, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2015", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2015, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2023", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2023, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2031", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2031, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2039", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2039, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2047", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2047, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2055", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2055, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2063", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2063, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2071", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2071, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2079", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2079, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2087", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2087, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2095", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2095, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2103", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2103, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2111", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2111, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2119", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2119, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2127", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2127, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2135", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2135, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2143", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2143, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2151", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2151, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2159", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2159, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2167", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2167, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2175", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2175, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2183", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2183, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2191", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2191, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2199", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2199, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2207", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2207, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2215", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2215, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2223", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2223, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2231", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2231, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2239", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2239, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2247", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2247, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2255", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2255, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2263", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2263, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2271", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2271, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2279", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2279, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2287", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2287, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2295", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2295, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2303", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2303, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2311", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2311, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2319", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2319, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2327", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2327, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2335", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2335, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2343", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2343, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2351", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2351, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2359", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2359, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2367", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2367, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2375", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2375, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2383", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2383, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2391", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2391, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2399", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2399, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2407", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2407, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2415", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2415, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2423", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2423, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2431", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2431, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2439", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2439, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2447", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2447, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2455", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2455, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2463", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2463, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2471", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2471, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2479", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2479, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2487", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2487, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2495", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2495, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2503", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2503, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2511", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2511, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2519", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2519, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2527", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2527, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2535", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2535, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2543", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2543, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2551", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2551, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2559", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2559, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2567", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2567, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2575", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2575, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2583", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2583, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2591", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2591, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2599", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2599, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2607", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2607, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2615", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2615, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2623", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2623, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2631", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2631, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/cvbench_full_test/results.jsonl b/reports/evaluations/checkpoint-7000/cvbench_full_test/results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7940fdbeb5875aeb6b193920f6024a4659c6e35f --- /dev/null +++ b/reports/evaluations/checkpoint-7000/cvbench_full_test/results.jsonl @@ -0,0 +1,2638 @@ +{"sample_id": "2D-0000", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 0, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0001", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1, "image_count": 1, "expected": "E", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 5 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 5 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 20, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0002", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 2, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0003", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 3, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0004", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 4, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0005", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 5, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0006", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 6, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0007", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 7, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0008", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 8, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0009", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 9, "image_count": 1, "expected": "E", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 3 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 3 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 18, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0010", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 10, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0011", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 11, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0012", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 12, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0013", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 13, "image_count": 1, "expected": "B", "predicted": "F", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0014", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 14, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0015", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 15, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0016", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 16, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0017", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 17, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0018", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 18, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0019", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 19, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151645], "covt_has_think": true, "covt_has_answer": false, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0020", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 20, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0021", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 21, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0022", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 22, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0023", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 23, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0024", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 24, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0025", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 25, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0026", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 26, "image_count": 1, "expected": "A", "predicted": "F", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) 4 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) 4 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 19, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0027", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 27, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0028", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 28, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0029", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 29, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0030", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 30, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0031", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 31, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0032", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 32, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0033", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 33, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0034", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 34, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0035", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 35, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0036", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 36, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0037", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 37, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0038", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 38, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0039", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 39, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0040", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 40, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0041", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 41, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0042", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 42, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0043", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 43, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0044", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 44, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0045", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 45, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0046", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 46, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0047", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 47, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0048", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 48, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0049", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 49, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0050", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 50, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 3 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 3 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 18, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0051", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 51, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0052", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 52, "image_count": 1, "expected": "F", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0053", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 53, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0054", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 54, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0055", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 55, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0056", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 56, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0057", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 57, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0058", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 58, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0059", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 59, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0060", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 60, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0061", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 61, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0062", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 62, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0063", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 63, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151645], "covt_has_think": true, "covt_has_answer": false, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0064", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 64, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0065", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 65, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0066", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 66, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0067", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 67, "image_count": 1, "expected": "D", "predicted": "F", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0068", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 68, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0069", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 69, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0070", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 70, "image_count": 1, "expected": "E", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0071", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 71, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0072", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 72, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0073", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 73, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0074", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 74, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0075", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 75, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0076", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 76, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0077", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 77, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0078", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 78, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0079", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 79, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0080", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 80, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0081", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 81, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0082", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 82, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0083", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 83, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0084", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 84, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 3 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 3 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 18, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0085", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 85, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0086", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 86, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0087", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 87, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0088", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 88, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0089", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 89, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0090", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 90, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0091", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 91, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0092", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 92, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0093", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 93, "image_count": 1, "expected": "E", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0094", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 94, "image_count": 1, "expected": "F", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0095", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 95, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0096", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 96, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0097", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 97, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0098", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 98, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0099", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 99, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0100", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 100, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0101", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 101, "image_count": 1, "expected": "F", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0102", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 102, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0103", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 103, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0104", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 104, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0105", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 105, "image_count": 1, "expected": "F", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0106", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 106, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0107", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 107, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0108", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 108, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0109", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 109, "image_count": 1, "expected": "E", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0110", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 110, "image_count": 1, "expected": "E", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0111", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 111, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0112", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 112, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0113", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 113, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0114", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 114, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0115", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 115, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0116", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 116, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0117", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 117, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0118", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 118, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0119", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 119, "image_count": 1, "expected": "E", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0120", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 120, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0121", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 121, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0122", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 122, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0123", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 123, "image_count": 1, "expected": "E", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0124", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 124, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0125", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 125, "image_count": 1, "expected": "F", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 4 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 4 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 19, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0126", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 126, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0127", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 127, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0128", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 128, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0129", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 129, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0130", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 130, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0131", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 131, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0132", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 132, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0133", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 133, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0134", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 134, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0135", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 135, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0136", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 136, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0137", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 137, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0138", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 138, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0139", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 139, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0140", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 140, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0141", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 141, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0142", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 142, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0143", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 143, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0144", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 144, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0145", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 145, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 7 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 7 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 22, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0146", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 146, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0147", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 147, "image_count": 1, "expected": "C", "predicted": "E", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0148", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 148, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0149", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 149, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0150", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 150, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0151", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 151, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0152", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 152, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0153", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 153, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0154", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 154, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0155", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 155, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0156", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 156, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0157", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 157, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 8 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 8 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 23, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0158", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 158, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0159", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 159, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0160", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 160, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0161", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 161, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0162", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 162, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0163", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 163, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0164", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 164, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0165", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 165, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0166", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 166, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0167", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 167, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0168", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 168, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0169", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 169, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0170", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 170, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0171", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 171, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0172", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 172, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0173", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 173, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0174", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 174, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 5 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 5 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 20, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0175", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 175, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0176", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 176, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0177", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 177, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0178", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 178, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0179", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 179, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0180", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 180, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0181", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 181, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0182", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 182, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0183", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 183, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0184", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 184, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0185", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 185, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0186", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 186, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0187", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 187, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0188", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 188, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0189", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 189, "image_count": 1, "expected": "E", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 3 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 3 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 18, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0190", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 190, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0191", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 191, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0192", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 192, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0193", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 193, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0194", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 194, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 3 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 3 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 18, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0195", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 195, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0196", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 196, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0197", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 197, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0198", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 198, "image_count": 1, "expected": "F", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0199", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 199, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0200", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 200, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0201", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 201, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0202", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 202, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0203", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 203, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0204", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 204, "image_count": 1, "expected": "A", "predicted": "F", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0205", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 205, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 4 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 4 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 19, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0206", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 206, "image_count": 1, "expected": "E", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0207", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 207, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0208", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 208, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0209", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 209, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0210", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 210, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0211", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 211, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0212", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 212, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0213", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 213, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0214", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 214, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0215", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 215, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0216", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 216, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0217", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 217, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0218", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 218, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0219", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 219, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0220", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 220, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0221", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 221, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 6 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 6 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 21, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0222", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 222, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0223", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 223, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0224", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 224, "image_count": 1, "expected": "E", "predicted": "F", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) 4 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) 4 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 19, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0225", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 225, "image_count": 1, "expected": "E", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0226", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 226, "image_count": 1, "expected": "B", "predicted": "E", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0227", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 227, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0228", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 228, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0229", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 229, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0230", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 230, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0231", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 231, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0232", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 232, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0233", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 233, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0234", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 234, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0235", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 235, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0236", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 236, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0237", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 237, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0238", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 238, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0239", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 239, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0240", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 240, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 3 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 3 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 18, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0241", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 241, "image_count": 1, "expected": "F", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0242", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 242, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0243", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 243, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0244", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 244, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0245", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 245, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0246", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 246, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0247", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 247, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0248", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 248, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0249", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 249, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0250", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 250, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0251", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 251, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0252", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 252, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0253", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 253, "image_count": 1, "expected": "A", "predicted": "E", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0254", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 254, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0255", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 255, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0256", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 256, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0257", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 257, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0258", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 258, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0259", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 259, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0260", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 260, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0261", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 261, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0262", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 262, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0263", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 263, "image_count": 1, "expected": "E", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0264", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 264, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0265", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 265, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0266", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 266, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0267", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 267, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0268", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 268, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0269", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 269, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0270", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 270, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0271", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 271, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0272", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 272, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0273", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 273, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0274", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 274, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0275", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 275, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0276", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 276, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0277", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 277, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0278", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 278, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0279", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 279, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0280", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 280, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0281", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 281, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0282", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 282, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0283", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 283, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0284", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 284, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0285", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 285, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0286", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 286, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0287", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 287, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0288", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 288, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0289", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 289, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0290", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 290, "image_count": 1, "expected": "E", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0291", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 291, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0292", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 292, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0293", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 293, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0294", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 294, "image_count": 1, "expected": "E", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0295", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 295, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0296", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 296, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0297", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 297, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0298", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 298, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0299", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 299, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0300", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 300, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0301", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 301, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0302", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 302, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0303", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 303, "image_count": 1, "expected": "F", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0304", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 304, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0305", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 305, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0306", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 306, "image_count": 1, "expected": "C", "predicted": "E", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0307", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 307, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0308", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 308, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0309", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 309, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0310", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 310, "image_count": 1, "expected": "F", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 4 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 4 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 19, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0311", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 311, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0312", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 312, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0313", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 313, "image_count": 1, "expected": "E", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0314", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 314, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0315", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 315, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0316", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 316, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0317", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 317, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0318", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 318, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0319", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 319, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0320", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 320, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0321", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 321, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0322", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 322, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0323", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 323, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0324", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 324, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0325", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 325, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0326", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 326, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0327", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 327, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0328", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 328, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0329", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 329, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0330", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 330, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0331", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 331, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0332", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 332, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0333", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 333, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0334", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 334, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0335", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 335, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0336", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 336, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0337", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 337, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0338", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 338, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0339", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 339, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0340", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 340, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0341", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 341, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0342", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 342, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0343", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 343, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0344", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 344, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0345", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 345, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0346", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 346, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0347", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 347, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0348", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 348, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0349", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 349, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0350", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 350, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0351", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 351, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0352", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 352, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0353", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 353, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0354", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 354, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0355", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 355, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0356", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 356, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0357", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 357, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0358", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 358, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0359", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 359, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0360", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 360, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0361", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 361, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0362", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 362, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0363", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 363, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0364", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 364, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0365", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 365, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0366", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 366, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0367", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 367, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0368", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 368, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0369", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 369, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0370", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 370, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0371", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 371, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0372", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 372, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0373", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 373, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0374", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 374, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0375", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 375, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0376", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 376, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0377", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 377, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0378", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 378, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0379", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 379, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0380", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 380, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0381", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 381, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0382", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 382, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0383", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 383, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0384", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 384, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0385", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 385, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0386", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 386, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0387", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 387, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0388", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 388, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0389", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 389, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0390", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 390, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0391", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 391, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0392", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 392, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0393", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 393, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0394", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 394, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0395", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 395, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0396", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 396, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0397", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 397, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0398", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 398, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0399", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 399, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0400", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 400, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0401", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 401, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0402", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 402, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0403", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 403, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0404", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 404, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0405", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 405, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0406", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 406, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0407", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 407, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0408", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 408, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0409", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 409, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0410", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 410, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0411", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 411, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0412", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 412, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0413", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 413, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0414", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 414, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0415", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 415, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0416", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 416, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0417", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 417, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0418", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 418, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0419", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 419, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0420", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 420, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0421", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 421, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0422", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 422, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0423", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 423, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0424", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 424, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0425", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 425, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0426", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 426, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0427", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 427, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0428", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 428, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0429", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 429, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0430", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 430, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0431", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 431, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0432", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 432, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0433", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 433, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0434", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 434, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0435", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 435, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0436", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 436, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0437", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 437, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0438", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 438, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0439", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 439, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0440", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 440, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0441", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 441, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0442", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 442, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0443", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 443, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0444", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 444, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0445", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 445, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0446", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 446, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0447", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 447, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0448", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 448, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0449", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 449, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0450", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 450, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0451", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 451, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0452", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 452, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0453", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 453, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0454", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 454, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0455", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 455, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0456", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 456, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0457", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 457, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0458", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 458, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0459", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 459, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0460", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 460, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0461", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 461, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0462", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 462, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0463", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 463, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0464", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 464, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0465", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 465, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0466", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 466, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0467", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 467, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0468", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 468, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0469", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 469, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0470", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 470, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0471", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 471, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0472", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 472, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0473", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 473, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0474", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 474, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0475", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 475, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0476", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 476, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0477", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 477, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0478", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 478, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0479", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 479, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0480", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 480, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0481", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 481, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0482", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 482, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0483", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 483, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0484", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 484, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0485", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 485, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0486", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 486, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0487", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 487, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0488", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 488, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0489", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 489, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0490", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 490, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0491", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 491, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0492", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 492, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0493", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 493, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0494", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 494, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0495", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 495, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0496", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 496, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0497", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 497, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0498", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 498, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0499", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 499, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0500", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 500, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0501", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 501, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0502", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 502, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0503", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 503, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0504", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 504, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0505", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 505, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0506", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 506, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0507", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 507, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0508", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 508, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0509", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 509, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0510", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 510, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0511", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 511, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0512", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 512, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0513", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 513, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0514", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 514, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0515", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 515, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0516", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 516, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0517", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 517, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0518", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 518, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0519", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 519, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0520", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 520, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0521", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 521, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0522", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 522, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0523", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 523, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0524", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 524, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0525", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 525, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0526", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 526, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0527", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 527, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0528", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 528, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0529", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 529, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0530", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 530, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0531", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 531, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0532", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 532, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0533", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 533, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0534", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 534, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0535", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 535, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0536", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 536, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0537", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 537, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0538", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 538, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0539", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 539, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0540", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 540, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0541", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 541, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0542", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 542, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0543", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 543, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0544", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 544, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0545", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 545, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0546", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 546, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0547", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 547, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0548", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 548, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0549", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 549, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0550", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 550, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0551", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 551, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0552", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 552, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0553", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 553, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0554", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 554, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0555", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 555, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0556", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 556, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0557", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 557, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0558", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 558, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0559", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 559, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0560", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 560, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0561", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 561, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0562", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 562, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0563", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 563, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0564", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 564, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0565", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 565, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0566", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 566, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0567", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 567, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0568", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 568, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0569", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 569, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0570", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 570, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0571", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 571, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0572", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 572, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0573", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 573, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0574", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 574, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0575", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 575, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0576", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 576, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0577", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 577, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0578", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 578, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0579", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 579, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0580", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 580, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0581", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 581, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0582", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 582, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0583", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 583, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0584", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 584, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0585", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 585, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0586", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 586, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0587", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 587, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0588", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 588, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0589", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 589, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0590", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 590, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0591", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 591, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0592", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 592, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0593", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 593, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0594", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 594, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0595", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 595, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0596", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 596, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0597", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 597, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0598", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 598, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0599", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 599, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0600", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 600, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0601", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 601, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0602", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 602, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0603", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 603, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0604", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 604, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0605", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 605, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0606", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 606, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0607", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 607, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0608", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 608, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0609", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 609, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0610", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 610, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0611", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 611, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0612", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 612, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0613", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 613, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0614", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 614, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0615", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 615, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0616", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 616, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0617", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 617, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0618", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 618, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0619", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 619, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0620", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 620, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0621", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 621, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0622", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 622, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0623", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 623, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0624", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 624, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0625", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 625, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0626", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 626, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0627", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 627, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0628", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 628, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0629", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 629, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0630", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 630, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0631", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 631, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0632", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 632, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0633", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 633, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0634", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 634, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0635", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 635, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 6 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 6 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 21, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0636", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 636, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0637", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 637, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 11 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 11 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0638", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 638, "image_count": 1, "expected": "E", "predicted": "F", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0639", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 639, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 14 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 14 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0640", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 640, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0641", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 641, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0642", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 642, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0643", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 643, "image_count": 1, "expected": "E", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 7 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 7 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 22, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0644", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 644, "image_count": 1, "expected": "E", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0645", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 645, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0646", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 646, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0647", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 647, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0648", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 648, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0649", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 649, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 14 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 14 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 19, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0650", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 650, "image_count": 1, "expected": "C", "predicted": "F", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0651", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 651, "image_count": 1, "expected": "E", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 6 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 6 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 21, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0652", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 652, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0653", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 653, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0654", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 654, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0655", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 655, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0656", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 656, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0657", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 657, "image_count": 1, "expected": "F", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0658", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 658, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0659", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 659, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0660", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 660, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0661", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 661, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0662", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 662, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0663", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 663, "image_count": 1, "expected": "B", "predicted": "F", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0664", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 664, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0665", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 665, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0666", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 666, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0667", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 667, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0668", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 668, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0669", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 669, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0670", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 670, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0671", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 671, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0672", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 672, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 7 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 7 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 22, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0673", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 673, "image_count": 1, "expected": "E", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 13 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 13 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0674", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 674, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0675", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 675, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0676", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 676, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0677", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 677, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0678", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 678, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0679", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 679, "image_count": 1, "expected": "C", "predicted": "E", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0680", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 680, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0681", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 681, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0682", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 682, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0683", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 683, "image_count": 1, "expected": "F", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0684", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 684, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0685", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 685, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0686", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 686, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0687", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 687, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0688", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 688, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0689", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 689, "image_count": 1, "expected": "E", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0690", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 690, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0691", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 691, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0692", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 692, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0693", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 693, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0694", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 694, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0695", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 695, "image_count": 1, "expected": "F", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0696", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 696, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0697", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 697, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0698", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 698, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0699", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 699, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0700", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 700, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0701", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 701, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0702", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 702, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0703", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 703, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0704", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 704, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0705", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 705, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0706", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 706, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0707", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 707, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0708", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 708, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0709", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 709, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0710", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 710, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0711", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 711, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 5 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 5 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 20, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0712", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 712, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0713", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 713, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0714", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 714, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0715", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 715, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0716", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 716, "image_count": 1, "expected": "E", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0717", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 717, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0718", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 718, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0719", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 719, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0720", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 720, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0721", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 721, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 9 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 9 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 24, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0722", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 722, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0723", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 723, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0724", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 724, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0725", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 725, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0726", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 726, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0727", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 727, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0728", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 728, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0729", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 729, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0730", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 730, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0731", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 731, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0732", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 732, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0733", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 733, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0734", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 734, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0735", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 735, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0736", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 736, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0737", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 737, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0738", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 738, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0739", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 739, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0740", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 740, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0741", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 741, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0742", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 742, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0743", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 743, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0744", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 744, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0745", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 745, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0746", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 746, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0747", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 747, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 4 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 4 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 19, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0748", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 748, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0749", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 749, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0750", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 750, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0751", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 751, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0752", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 752, "image_count": 1, "expected": "E", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0753", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 753, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0754", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 754, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0755", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 755, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0756", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 756, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0757", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 757, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0758", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 758, "image_count": 1, "expected": "F", "predicted": "E", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0759", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 759, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0760", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 760, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0761", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 761, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0762", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 762, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 10 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 10 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0763", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 763, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0764", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 764, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 5 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 5 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 20, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0765", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 765, "image_count": 1, "expected": "B", "predicted": "E", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0766", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 766, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0767", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 767, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0768", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 768, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0769", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 769, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0770", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 770, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0771", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 771, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0772", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 772, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0773", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 773, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0774", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 774, "image_count": 1, "expected": "F", "predicted": "F", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0775", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 775, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0776", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 776, "image_count": 1, "expected": "C", "predicted": "E", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 15 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 15 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 16, 20, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0777", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 777, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0778", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 778, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0779", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 779, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0780", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 780, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0781", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 781, "image_count": 1, "expected": "E", "predicted": "F", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) 4 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) 4 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 19, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0782", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 782, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0783", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 783, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0784", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 784, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 4 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 4 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 19, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0785", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 785, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0786", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 786, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0787", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 787, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0788", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 788, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0789", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 789, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0790", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 790, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0791", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 791, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0792", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 792, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 3 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 3 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151935, 198, 151934, 320, 35, 8, 220, 18, 220, 151935, 151645], "covt_has_think": false, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0793", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 793, "image_count": 1, "expected": "F", "predicted": "E", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 8 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 8 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 23, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0794", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 794, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0795", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 795, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0796", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 796, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0797", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 797, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0798", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 798, "image_count": 1, "expected": "A", "predicted": "F", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0799", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 799, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0800", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 800, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0801", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 801, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0802", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 802, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0803", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 803, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0804", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 804, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0805", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 805, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0806", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 806, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0807", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 807, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0808", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 808, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0809", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 809, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0810", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 810, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0811", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 811, "image_count": 1, "expected": "E", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0812", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 812, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0813", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 813, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0814", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 814, "image_count": 1, "expected": "E", "predicted": "F", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0815", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 815, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0816", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 816, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0817", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 817, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0818", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 818, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0819", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 819, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0820", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 820, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0821", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 821, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0822", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 822, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0823", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 823, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0824", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 824, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0825", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 825, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0826", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 826, "image_count": 1, "expected": "F", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 9 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 9 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 24, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0827", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 827, "image_count": 1, "expected": "E", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0828", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 828, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0829", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 829, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0830", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 830, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0831", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 831, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0832", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 832, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0833", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 833, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0834", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 834, "image_count": 1, "expected": "F", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0835", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 835, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0836", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 836, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0837", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 837, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0838", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 838, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0839", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 839, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0840", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 840, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0841", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 841, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0842", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 842, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0843", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 843, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0844", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 844, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0845", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 845, "image_count": 1, "expected": "E", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 3 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 3 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 18, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0846", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 846, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0847", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 847, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0848", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 848, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0849", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 849, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0850", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 850, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 9 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 9 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 24, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0851", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 851, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0852", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 852, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0853", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 853, "image_count": 1, "expected": "D", "predicted": "E", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 4 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 4 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 19, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0854", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 854, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0855", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 855, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0856", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 856, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0857", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 857, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0858", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 858, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0859", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 859, "image_count": 1, "expected": "F", "predicted": "F", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) 3 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) 3 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 18, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0860", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 860, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0861", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 861, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 6 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 6 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 21, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0862", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 862, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0863", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 863, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0864", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 864, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0865", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 865, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0866", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 866, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0867", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 867, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0868", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 868, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0869", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 869, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0870", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 870, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0871", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 871, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0872", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 872, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0873", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 873, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0874", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 874, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0875", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 875, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 9 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 9 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 24, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0876", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 876, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0877", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 877, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0878", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 878, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0879", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 879, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0880", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 880, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0881", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 881, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0882", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 882, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0883", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 883, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0884", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 884, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0885", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 885, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0886", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 886, "image_count": 1, "expected": "D", "predicted": "E", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0887", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 887, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0888", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 888, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0889", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 889, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 4 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 4 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 19, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0890", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 890, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0891", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 891, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0892", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 892, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0893", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 893, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0894", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 894, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0895", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 895, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0896", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 896, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0897", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 897, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0898", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 898, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0899", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 899, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0900", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 900, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0901", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 901, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0902", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 902, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0903", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 903, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0904", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 904, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0905", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 905, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0906", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 906, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0907", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 907, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0908", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 908, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0909", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 909, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0910", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 910, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0911", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 911, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0912", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 912, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0913", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 913, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0914", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 914, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0915", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 915, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0916", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 916, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0917", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 917, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0918", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 918, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0919", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 919, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0920", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 920, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0921", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 921, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0922", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 922, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0923", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 923, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0924", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 924, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0925", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 925, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0926", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 926, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0927", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 927, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0928", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 928, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0929", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 929, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0930", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 930, "image_count": 1, "expected": "F", "predicted": "F", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) 6 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) 6 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 21, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0931", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 931, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0932", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 932, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0933", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 933, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0934", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 934, "image_count": 1, "expected": "F", "predicted": "F", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0935", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 935, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0936", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 936, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0937", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 937, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0938", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 938, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0939", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 939, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0940", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 940, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0941", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 941, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0942", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 942, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0943", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 943, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0944", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 944, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0945", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 945, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 5 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 5 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 20, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0946", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 946, "image_count": 1, "expected": "A", "predicted": "E", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 4 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 4 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 19, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0947", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 947, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0948", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 948, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0949", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 949, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0950", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 950, "image_count": 1, "expected": "E", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0951", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 951, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0952", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 952, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0953", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 953, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0954", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 954, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0955", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 955, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0956", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 956, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0957", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 957, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0958", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 958, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0959", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 959, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0960", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 960, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0961", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 961, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0962", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 962, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 3 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 3 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 18, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0963", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 963, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 4 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 4 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 19, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0964", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 964, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0965", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 965, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0966", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 966, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0967", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 967, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0968", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 968, "image_count": 1, "expected": "E", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 5 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 5 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 20, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0969", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 969, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0970", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 970, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0971", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 971, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0972", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 972, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0973", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 973, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0974", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 974, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0975", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 975, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0976", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 976, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 3 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 3 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 18, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0977", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 977, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0978", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 978, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0979", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 979, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0980", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 980, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0981", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 981, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0982", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 982, "image_count": 1, "expected": "B", "predicted": "E", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0983", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 983, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0984", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 984, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0985", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 985, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0986", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 986, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0987", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 987, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0988", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 988, "image_count": 1, "expected": "F", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0989", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 989, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0990", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 990, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 4 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 4 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 19, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0991", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 991, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0992", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 992, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0993", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 993, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0994", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 994, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0995", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 995, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0996", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 996, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0997", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 997, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0998", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 998, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-0999", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 999, "image_count": 1, "expected": "E", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1000", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1000, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1001", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1001, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1002", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1002, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1003", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1003, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1004", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1004, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1005", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1005, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1006", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1006, "image_count": 1, "expected": "E", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1007", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1007, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1008", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1008, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1009", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1009, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1010", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1010, "image_count": 1, "expected": "F", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1011", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1011, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1012", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1012, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1013", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1013, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1014", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1014, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1015", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1015, "image_count": 1, "expected": "E", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1016", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1016, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1017", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1017, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1018", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1018, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1019", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1019, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1020", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1020, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1021", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1021, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1022", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1022, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1023", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1023, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1024", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1024, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1025", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1025, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1026", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1026, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1027", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1027, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1028", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1028, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1029", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1029, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1030", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1030, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1031", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1031, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1032", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1032, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1033", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1033, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1034", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1034, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1035", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1035, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1036", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1036, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1037", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1037, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1038", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1038, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n C ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n C <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 356, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1039", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1039, "image_count": 1, "expected": "E", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1040", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1040, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1041", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1041, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1042", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1042, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1043", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1043, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1044", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1044, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1045", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1045, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1046", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1046, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 3 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 3 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 18, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1047", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1047, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1048", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1048, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1049", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1049, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1050", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1050, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1051", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1051, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1052", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1052, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1053", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1053, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1054", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1054, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1055", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1055, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1056", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1056, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1057", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1057, "image_count": 1, "expected": "E", "predicted": "E", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (E) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (E) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 36, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1058", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1058, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1059", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1059, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1060", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1060, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1061", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1061, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1062", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1062, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n D ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n D <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 422, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1063", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1063, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 9 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 9 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 24, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1064", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1064, "image_count": 1, "expected": "F", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1065", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1065, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1066", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1066, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1067", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1067, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 3 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 3 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 18, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1068", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1068, "image_count": 1, "expected": "E", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1069", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1069, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1070", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1070, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) 1 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) 1 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 16, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1071", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1071, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1072", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1072, "image_count": 1, "expected": "E", "predicted": "F", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1073", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1073, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1074", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1074, "image_count": 1, "expected": "E", "predicted": "F", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1075", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1075, "image_count": 1, "expected": "E", "predicted": "F", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (F) 0 ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (F) 0 <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 37, 8, 220, 15, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1076", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1076, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 0 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 0 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 15, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1077", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1077, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) 2 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) 2 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 17, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1078", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Count", "row_index": 1078, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) 1 \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) 1 \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 16, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1079", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1079, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1080", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1080, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1081", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1081, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1082", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1082, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1083", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1083, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1084", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1084, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1085", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1085, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1086", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1086, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1087", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1087, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1088", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1088, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1089", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1089, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1090", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1090, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1091", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1091, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1092", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1092, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1093", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1093, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1094", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1094, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1095", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1095, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1096", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1096, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1097", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1097, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1098", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1098, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1099", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1099, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1100", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1100, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1101", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1101, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1102", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1102, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1103", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1103, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1104", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1104, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1105", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1105, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1106", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1106, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1107", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1107, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1108", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1108, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1109", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1109, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1110", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1110, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1111", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1111, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1112", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1112, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1113", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1113, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1114", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1114, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1115", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1115, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1116", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1116, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1117", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1117, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1118", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1118, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1119", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1119, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1120", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1120, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1121", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1121, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1122", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1122, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1123", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1123, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1124", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1124, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1125", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1125, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1126", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1126, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1127", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1127, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1128", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1128, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1129", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1129, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1130", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1130, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1131", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1131, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1132", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1132, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1133", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1133, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1134", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1134, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1135", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1135, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1136", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1136, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1137", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1137, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1138", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1138, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1139", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1139, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1140", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1140, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1141", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1141, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1142", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1142, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1143", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1143, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1144", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1144, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1145", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1145, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1146", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1146, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1147", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1147, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1148", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1148, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1149", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1149, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1150", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1150, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1151", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1151, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1152", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1152, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1153", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1153, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1154", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1154, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1155", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1155, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1156", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1156, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1157", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1157, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1158", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1158, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1159", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1159, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1160", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1160, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1161", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1161, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1162", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1162, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1163", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1163, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1164", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1164, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1165", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1165, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1166", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1166, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1167", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1167, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1168", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1168, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1169", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1169, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1170", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1170, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1171", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1171, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1172", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1172, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1173", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1173, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1174", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1174, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1175", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1175, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1176", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1176, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1177", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1177, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1178", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1178, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1179", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1179, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1180", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1180, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1181", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1181, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1182", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1182, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1183", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1183, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1184", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1184, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1185", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1185, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1186", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1186, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1187", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1187, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1188", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1188, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1189", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1189, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1190", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1190, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1191", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1191, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1192", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1192, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1193", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1193, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1194", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1194, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1195", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1195, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1196", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1196, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1197", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1197, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1198", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1198, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1199", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1199, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1200", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1200, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1201", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1201, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1202", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1202, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1203", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1203, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1204", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1204, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1205", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1205, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1206", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1206, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1207", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1207, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1208", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1208, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1209", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1209, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1210", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1210, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1211", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1211, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1212", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1212, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1213", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1213, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1214", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1214, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1215", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1215, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1216", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1216, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1217", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1217, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1218", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1218, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1219", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1219, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1220", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1220, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1221", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1221, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1222", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1222, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1223", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1223, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1224", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1224, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1225", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1225, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1226", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1226, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1227", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1227, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1228", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1228, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1229", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1229, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1230", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1230, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1231", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1231, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1232", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1232, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1233", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1233, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1234", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1234, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1235", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1235, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1236", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1236, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1237", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1237, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1238", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1238, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1239", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1239, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1240", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1240, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1241", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1241, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1242", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1242, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1243", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1243, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1244", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1244, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1245", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1245, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1246", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1246, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1247", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1247, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1248", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1248, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1249", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1249, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1250", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1250, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1251", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1251, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1252", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1252, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1253", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1253, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1254", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1254, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1255", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1255, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1256", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1256, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1257", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1257, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1258", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1258, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1259", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1259, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1260", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1260, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1261", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1261, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1262", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1262, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1263", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1263, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1264", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1264, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1265", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1265, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1266", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1266, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1267", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1267, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1268", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1268, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1269", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1269, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1270", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1270, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1271", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1271, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1272", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1272, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1273", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1273, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1274", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1274, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1275", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1275, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1276", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1276, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1277", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1277, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1278", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1278, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1279", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1279, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1280", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1280, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1281", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1281, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1282", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1282, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1283", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1283, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1284", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1284, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1285", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1285, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1286", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1286, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1287", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1287, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1288", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1288, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1289", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1289, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1290", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1290, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1291", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1291, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1292", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1292, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1293", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1293, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1294", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1294, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1295", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1295, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1296", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1296, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1297", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1297, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1298", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1298, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1299", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1299, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1300", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1300, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1301", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1301, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1302", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1302, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1303", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1303, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1304", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1304, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1305", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1305, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1306", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1306, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1307", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1307, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1308", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1308, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1309", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1309, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1310", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1310, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1311", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1311, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1312", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1312, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1313", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1313, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1314", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1314, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1315", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1315, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1316", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1316, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1317", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1317, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1318", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1318, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1319", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1319, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1320", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1320, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1321", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1321, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1322", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1322, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1323", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1323, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1324", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1324, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1325", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1325, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1326", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1326, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1327", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1327, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1328", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1328, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1329", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1329, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1330", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1330, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1331", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1331, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1332", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1332, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1333", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1333, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1334", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1334, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1335", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1335, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1336", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1336, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1337", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1337, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1338", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1338, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1339", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1339, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1340", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1340, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1341", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1341, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1342", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1342, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1343", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1343, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1344", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1344, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1345", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1345, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1346", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1346, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1347", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1347, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1348", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1348, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1349", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1349, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1350", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1350, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1351", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1351, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1352", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1352, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1353", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1353, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1354", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1354, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1355", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1355, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1356", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1356, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1357", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1357, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1358", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1358, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1359", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1359, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1360", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1360, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1361", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1361, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1362", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1362, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1363", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1363, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1364", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1364, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1365", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1365, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1366", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1366, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1367", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1367, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1368", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1368, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1369", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1369, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1370", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1370, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1371", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1371, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1372", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1372, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1373", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1373, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1374", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1374, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1375", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1375, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1376", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1376, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1377", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1377, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1378", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1378, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1379", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1379, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1380", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1380, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1381", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1381, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1382", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1382, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1383", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1383, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1384", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1384, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1385", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1385, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1386", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1386, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1387", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1387, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1388", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1388, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1389", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1389, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1390", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1390, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1391", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1391, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1392", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1392, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1393", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1393, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1394", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1394, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1395", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1395, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1396", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1396, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1397", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1397, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1398", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1398, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1399", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1399, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1400", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1400, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1401", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1401, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1402", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1402, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1403", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1403, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1404", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1404, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1405", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1405, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1406", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1406, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1407", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1407, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1408", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1408, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1409", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1409, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1410", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1410, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1411", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1411, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1412", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1412, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1413", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1413, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1414", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1414, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1415", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1415, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1416", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1416, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1417", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1417, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1418", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1418, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1419", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1419, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1420", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1420, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1421", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1421, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1422", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1422, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1423", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1423, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1424", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1424, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1425", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1425, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1426", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1426, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1427", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1427, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1428", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1428, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1429", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1429, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1430", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1430, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1431", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1431, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1432", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1432, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1433", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1433, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1434", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1434, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1435", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1435, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1436", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1436, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2D-1437", "benchmark": "cvbench", "split": "test", "config": "2D", "task": "Relation", "row_index": 1437, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1438", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1438, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1439", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1439, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1440", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1440, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1441", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1441, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1442", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1442, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1443", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1443, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1444", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1444, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1445", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1445, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1446", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1446, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1447", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1447, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1448", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1448, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1449", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1449, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1450", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1450, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1451", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1451, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1452", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1452, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1453", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1453, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1454", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1454, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1455", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1455, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1456", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1456, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1457", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1457, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1458", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1458, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1459", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1459, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1460", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1460, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1461", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1461, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1462", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1462, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1463", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1463, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1464", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1464, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1465", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1465, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1466", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1466, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1467", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1467, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1468", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1468, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1469", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1469, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1470", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1470, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1471", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1471, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1472", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1472, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1473", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1473, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1474", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1474, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1475", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1475, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1476", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1476, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1477", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1477, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1478", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1478, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1479", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1479, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1480", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1480, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1481", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1481, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1482", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1482, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1483", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1483, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1484", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1484, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1485", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1485, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1486", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1486, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1487", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1487, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1488", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1488, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1489", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1489, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1490", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1490, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1491", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1491, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1492", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1492, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1493", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1493, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1494", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1494, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1495", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1495, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1496", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1496, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1497", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1497, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1498", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1498, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1499", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1499, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1500", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1500, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1501", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1501, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1502", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1502, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1503", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1503, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1504", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1504, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1505", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1505, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1506", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1506, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1507", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1507, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1508", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1508, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1509", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1509, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1510", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1510, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1511", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1511, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1512", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1512, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1513", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1513, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1514", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1514, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1515", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1515, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1516", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1516, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1517", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1517, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1518", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1518, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1519", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1519, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1520", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1520, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1521", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1521, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1522", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1522, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1523", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1523, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1524", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1524, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1525", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1525, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1526", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1526, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1527", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1527, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1528", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1528, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1529", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1529, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1530", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1530, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1531", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1531, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1532", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1532, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1533", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1533, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1534", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1534, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1535", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1535, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1536", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1536, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1537", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1537, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1538", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1538, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1539", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1539, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1540", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1540, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1541", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1541, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1542", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1542, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1543", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1543, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1544", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1544, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1545", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1545, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1546", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1546, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1547", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1547, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1548", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1548, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1549", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1549, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1550", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1550, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1551", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1551, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1552", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1552, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1553", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1553, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1554", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1554, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1555", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1555, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1556", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1556, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1557", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1557, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1558", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1558, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1559", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1559, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1560", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1560, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1561", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1561, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1562", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1562, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1563", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1563, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1564", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1564, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1565", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1565, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1566", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1566, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1567", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1567, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1568", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1568, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1569", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1569, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1570", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1570, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1571", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1571, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1572", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1572, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1573", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1573, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1574", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1574, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1575", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1575, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1576", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1576, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1577", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1577, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1578", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1578, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1579", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1579, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1580", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1580, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1581", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1581, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1582", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1582, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1583", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1583, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1584", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1584, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1585", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1585, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1586", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1586, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1587", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1587, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1588", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1588, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1589", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1589, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1590", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1590, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1591", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1591, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1592", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1592, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1593", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1593, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1594", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1594, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1595", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1595, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1596", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1596, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1597", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1597, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1598", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1598, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1599", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1599, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1600", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1600, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1601", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1601, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1602", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1602, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1603", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1603, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1604", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1604, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1605", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1605, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1606", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1606, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1607", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1607, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1608", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1608, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1609", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1609, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1610", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1610, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1611", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1611, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1612", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1612, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1613", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1613, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1614", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1614, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1615", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1615, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1616", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1616, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1617", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1617, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1618", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1618, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1619", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1619, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1620", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1620, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1621", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1621, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1622", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1622, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1623", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1623, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1624", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1624, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1625", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1625, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1626", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1626, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1627", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1627, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1628", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1628, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1629", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1629, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1630", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1630, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1631", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1631, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1632", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1632, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1633", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1633, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1634", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1634, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1635", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1635, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1636", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1636, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1637", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1637, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1638", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1638, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1639", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1639, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1640", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1640, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1641", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1641, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1642", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1642, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1643", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1643, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1644", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1644, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1645", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1645, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1646", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1646, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1647", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1647, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1648", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1648, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1649", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1649, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1650", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1650, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1651", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1651, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1652", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1652, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1653", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1653, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1654", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1654, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1655", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1655, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1656", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1656, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1657", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1657, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1658", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1658, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1659", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1659, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1660", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1660, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1661", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1661, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1662", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1662, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1663", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1663, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1664", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1664, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1665", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1665, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1666", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1666, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1667", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1667, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1668", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1668, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1669", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1669, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1670", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1670, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1671", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1671, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1672", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1672, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1673", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1673, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1674", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1674, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1675", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1675, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1676", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1676, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1677", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1677, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1678", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1678, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1679", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1679, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1680", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1680, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1681", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1681, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1682", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1682, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1683", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1683, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1684", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1684, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1685", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1685, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1686", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1686, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1687", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1687, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1688", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1688, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1689", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1689, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1690", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1690, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1691", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1691, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1692", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1692, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1693", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1693, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1694", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1694, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1695", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1695, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1696", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1696, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1697", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1697, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1698", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1698, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1699", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1699, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1700", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1700, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1701", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1701, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1702", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1702, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1703", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1703, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1704", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1704, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1705", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1705, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1706", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1706, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1707", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1707, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1708", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1708, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1709", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1709, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1710", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1710, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1711", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1711, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1712", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1712, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1713", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1713, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1714", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1714, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1715", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1715, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1716", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1716, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1717", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1717, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1718", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1718, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1719", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1719, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1720", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1720, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1721", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1721, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1722", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1722, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1723", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1723, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1724", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1724, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1725", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1725, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1726", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1726, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1727", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1727, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1728", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1728, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1729", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1729, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1730", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1730, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1731", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1731, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1732", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1732, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1733", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1733, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1734", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1734, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1735", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1735, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1736", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1736, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1737", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1737, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1738", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1738, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1739", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1739, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1740", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1740, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1741", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1741, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1742", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1742, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1743", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1743, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1744", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1744, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1745", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1745, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1746", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1746, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1747", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1747, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1748", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1748, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1749", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1749, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1750", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1750, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1751", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1751, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1752", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1752, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1753", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1753, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1754", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1754, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1755", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1755, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1756", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1756, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1757", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1757, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1758", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1758, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1759", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1759, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1760", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1760, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1761", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1761, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1762", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1762, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1763", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1763, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1764", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1764, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1765", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1765, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1766", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1766, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1767", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1767, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1768", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1768, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1769", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1769, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1770", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1770, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1771", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1771, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1772", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1772, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1773", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1773, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1774", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1774, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1775", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1775, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1776", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1776, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1777", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1777, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1778", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1778, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1779", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1779, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1780", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1780, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1781", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1781, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1782", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1782, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1783", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1783, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1784", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1784, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1785", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1785, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1786", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1786, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1787", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1787, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1788", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1788, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1789", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1789, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1790", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1790, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1791", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1791, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1792", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1792, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1793", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1793, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1794", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1794, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1795", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1795, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1796", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1796, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1797", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1797, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1798", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1798, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1799", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1799, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1800", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1800, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1801", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1801, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1802", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1802, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1803", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1803, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1804", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1804, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1805", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1805, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1806", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1806, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1807", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1807, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1808", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1808, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1809", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1809, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1810", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1810, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1811", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1811, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1812", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1812, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1813", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1813, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1814", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1814, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1815", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1815, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1816", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1816, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1817", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1817, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1818", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1818, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1819", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1819, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1820", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1820, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1821", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1821, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1822", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1822, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1823", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1823, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1824", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1824, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1825", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1825, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1826", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1826, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1827", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1827, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1828", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1828, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1829", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1829, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1830", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1830, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1831", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1831, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1832", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1832, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1833", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1833, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1834", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1834, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1835", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1835, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1836", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1836, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1837", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1837, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1838", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1838, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1839", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1839, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1840", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1840, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1841", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1841, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1842", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1842, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1843", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1843, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1844", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1844, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1845", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1845, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1846", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1846, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1847", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1847, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1848", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1848, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1849", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1849, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1850", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1850, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1851", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1851, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1852", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1852, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1853", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1853, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1854", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1854, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1855", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1855, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1856", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1856, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1857", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1857, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1858", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1858, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1859", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1859, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1860", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1860, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1861", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1861, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1862", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1862, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1863", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1863, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1864", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1864, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1865", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1865, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1866", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1866, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1867", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1867, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1868", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1868, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1869", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1869, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1870", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1870, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1871", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1871, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1872", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1872, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1873", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1873, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1874", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1874, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1875", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1875, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1876", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1876, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1877", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1877, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1878", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1878, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1879", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1879, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1880", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1880, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1881", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1881, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1882", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1882, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1883", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1883, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1884", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1884, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1885", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1885, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1886", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1886, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1887", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1887, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1888", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1888, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1889", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1889, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1890", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1890, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1891", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1891, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1892", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1892, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1893", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1893, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1894", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1894, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1895", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1895, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1896", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1896, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1897", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1897, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1898", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1898, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1899", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1899, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1900", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1900, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1901", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1901, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1902", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1902, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1903", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1903, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1904", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1904, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1905", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1905, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1906", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1906, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1907", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1907, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1908", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1908, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1909", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1909, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1910", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1910, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1911", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1911, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1912", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1912, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1913", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1913, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1914", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1914, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1915", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1915, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1916", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1916, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1917", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1917, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1918", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1918, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1919", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1919, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1920", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1920, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1921", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1921, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1922", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1922, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1923", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1923, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1924", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1924, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1925", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1925, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1926", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1926, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1927", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1927, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1928", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1928, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1929", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1929, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1930", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1930, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1931", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1931, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1932", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1932, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1933", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1933, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1934", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1934, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1935", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1935, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1936", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1936, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1937", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1937, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1938", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1938, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1939", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1939, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1940", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1940, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1941", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1941, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1942", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1942, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1943", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1943, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1944", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1944, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1945", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1945, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1946", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1946, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1947", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1947, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1948", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1948, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1949", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1949, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1950", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1950, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1951", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1951, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1952", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1952, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1953", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1953, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1954", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1954, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1955", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1955, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1956", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1956, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1957", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1957, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1958", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1958, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1959", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1959, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1960", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1960, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1961", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1961, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1962", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1962, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1963", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1963, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1964", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1964, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1965", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1965, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1966", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1966, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1967", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1967, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1968", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1968, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1969", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1969, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1970", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1970, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1971", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1971, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1972", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1972, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1973", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1973, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1974", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1974, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1975", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1975, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1976", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1976, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1977", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1977, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1978", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1978, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1979", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1979, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1980", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1980, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1981", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1981, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1982", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1982, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1983", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1983, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1984", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1984, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1985", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1985, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1986", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1986, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1987", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1987, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1988", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1988, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1989", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1989, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1990", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1990, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1991", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1991, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1992", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1992, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1993", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1993, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1994", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1994, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1995", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1995, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1996", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1996, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1997", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1997, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1998", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1998, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-1999", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 1999, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2000", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2000, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2001", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2001, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2002", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2002, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2003", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2003, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2004", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2004, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2005", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2005, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2006", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2006, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2007", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2007, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2008", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2008, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2009", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2009, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2010", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2010, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2011", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2011, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2012", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2012, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2013", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2013, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2014", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2014, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2015", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2015, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2016", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2016, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2017", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2017, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2018", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2018, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2019", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2019, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2020", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2020, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2021", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2021, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2022", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2022, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2023", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2023, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2024", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2024, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2025", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2025, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2026", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2026, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2027", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2027, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2028", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2028, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2029", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2029, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2030", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2030, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2031", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2031, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2032", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2032, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2033", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2033, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2034", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2034, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2035", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2035, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2036", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2036, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2037", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Depth", "row_index": 2037, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2038", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2038, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2039", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2039, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2040", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2040, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2041", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2041, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2042", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2042, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2043", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2043, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2044", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2044, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2045", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2045, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2046", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2046, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2047", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2047, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2048", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2048, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2049", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2049, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2050", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2050, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2051", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2051, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2052", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2052, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2053", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2053, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2054", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2054, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2055", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2055, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2056", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2056, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2057", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2057, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2058", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2058, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2059", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2059, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2060", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2060, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2061", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2061, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2062", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2062, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2063", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2063, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2064", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2064, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2065", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2065, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2066", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2066, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2067", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2067, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2068", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2068, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2069", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2069, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2070", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2070, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2071", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2071, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2072", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2072, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2073", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2073, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2074", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2074, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2075", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2075, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2076", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2076, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2077", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2077, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2078", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2078, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2079", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2079, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2080", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2080, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2081", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2081, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2082", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2082, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2083", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2083, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2084", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2084, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2085", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2085, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2086", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2086, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2087", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2087, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2088", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2088, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2089", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2089, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2090", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2090, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2091", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2091, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2092", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2092, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2093", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2093, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2094", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2094, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2095", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2095, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2096", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2096, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2097", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2097, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2098", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2098, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2099", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2099, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2100", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2100, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2101", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2101, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2102", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2102, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2103", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2103, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2104", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2104, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2105", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2105, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2106", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2106, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2107", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2107, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2108", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2108, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2109", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2109, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2110", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2110, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2111", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2111, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2112", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2112, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2113", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2113, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2114", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2114, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2115", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2115, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2116", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2116, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2117", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2117, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2118", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2118, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2119", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2119, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2120", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2120, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2121", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2121, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2122", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2122, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2123", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2123, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2124", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2124, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2125", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2125, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2126", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2126, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2127", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2127, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2128", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2128, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2129", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2129, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2130", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2130, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2131", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2131, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2132", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2132, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2133", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2133, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2134", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2134, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2135", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2135, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2136", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2136, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2137", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2137, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2138", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2138, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2139", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2139, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2140", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2140, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2141", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2141, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2142", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2142, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2143", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2143, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2144", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2144, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2145", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2145, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2146", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2146, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2147", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2147, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2148", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2148, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2149", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2149, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2150", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2150, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2151", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2151, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2152", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2152, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2153", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2153, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2154", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2154, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2155", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2155, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2156", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2156, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2157", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2157, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2158", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2158, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2159", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2159, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2160", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2160, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2161", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2161, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2162", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2162, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2163", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2163, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2164", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2164, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2165", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2165, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2166", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2166, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2167", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2167, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2168", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2168, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2169", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2169, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2170", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2170, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2171", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2171, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2172", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2172, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2173", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2173, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2174", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2174, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2175", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2175, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2176", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2176, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2177", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2177, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2178", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2178, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2179", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2179, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2180", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2180, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2181", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2181, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2182", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2182, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2183", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2183, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2184", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2184, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2185", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2185, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2186", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2186, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2187", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2187, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2188", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2188, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2189", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2189, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2190", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2190, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2191", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2191, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2192", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2192, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2193", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2193, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2194", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2194, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2195", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2195, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2196", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2196, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2197", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2197, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2198", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2198, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2199", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2199, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2200", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2200, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2201", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2201, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2202", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2202, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2203", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2203, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2204", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2204, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2205", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2205, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2206", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2206, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2207", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2207, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2208", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2208, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2209", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2209, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2210", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2210, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2211", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2211, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2212", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2212, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2213", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2213, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2214", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2214, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2215", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2215, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2216", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2216, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2217", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2217, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2218", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2218, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2219", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2219, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2220", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2220, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2221", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2221, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2222", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2222, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2223", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2223, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2224", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2224, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2225", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2225, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2226", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2226, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2227", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2227, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2228", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2228, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2229", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2229, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2230", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2230, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2231", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2231, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2232", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2232, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2233", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2233, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2234", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2234, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2235", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2235, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2236", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2236, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2237", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2237, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2238", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2238, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2239", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2239, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2240", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2240, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2241", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2241, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2242", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2242, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2243", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2243, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2244", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2244, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2245", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2245, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2246", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2246, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2247", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2247, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2248", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2248, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2249", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2249, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2250", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2250, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2251", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2251, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2252", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2252, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2253", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2253, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2254", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2254, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2255", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2255, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2256", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2256, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2257", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2257, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2258", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2258, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2259", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2259, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2260", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2260, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2261", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2261, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2262", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2262, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2263", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2263, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2264", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2264, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2265", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2265, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2266", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2266, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2267", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2267, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2268", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2268, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2269", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2269, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2270", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2270, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2271", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2271, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2272", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2272, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2273", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2273, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2274", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2274, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2275", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2275, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2276", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2276, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2277", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2277, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2278", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2278, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2279", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2279, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2280", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2280, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2281", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2281, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2282", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2282, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2283", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2283, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2284", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2284, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2285", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2285, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2286", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2286, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2287", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2287, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2288", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2288, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2289", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2289, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2290", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2290, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2291", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2291, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2292", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2292, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2293", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2293, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2294", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2294, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2295", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2295, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2296", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2296, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2297", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2297, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2298", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2298, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2299", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2299, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2300", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2300, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2301", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2301, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2302", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2302, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2303", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2303, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2304", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2304, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2305", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2305, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2306", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2306, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2307", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2307, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2308", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2308, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2309", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2309, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2310", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2310, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2311", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2311, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2312", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2312, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2313", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2313, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2314", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2314, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2315", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2315, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2316", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2316, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2317", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2317, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2318", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2318, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2319", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2319, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2320", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2320, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2321", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2321, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2322", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2322, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2323", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2323, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2324", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2324, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2325", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2325, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2326", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2326, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2327", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2327, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2328", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2328, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2329", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2329, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2330", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2330, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2331", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2331, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2332", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2332, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2333", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2333, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2334", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2334, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2335", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2335, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2336", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2336, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2337", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2337, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2338", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2338, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2339", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2339, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2340", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2340, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2341", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2341, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2342", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2342, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2343", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2343, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2344", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2344, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2345", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2345, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2346", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2346, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2347", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2347, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2348", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2348, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2349", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2349, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2350", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2350, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2351", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2351, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2352", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2352, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2353", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2353, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2354", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2354, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2355", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2355, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2356", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2356, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2357", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2357, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2358", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2358, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2359", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2359, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2360", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2360, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2361", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2361, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2362", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2362, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2363", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2363, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2364", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2364, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2365", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2365, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2366", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2366, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2367", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2367, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2368", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2368, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2369", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2369, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2370", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2370, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2371", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2371, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2372", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2372, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2373", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2373, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2374", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2374, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2375", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2375, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2376", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2376, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2377", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2377, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2378", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2378, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2379", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2379, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2380", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2380, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2381", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2381, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2382", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2382, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2383", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2383, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2384", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2384, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2385", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2385, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2386", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2386, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2387", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2387, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2388", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2388, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2389", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2389, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2390", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2390, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2391", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2391, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2392", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2392, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2393", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2393, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2394", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2394, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2395", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2395, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2396", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2396, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2397", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2397, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2398", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2398, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2399", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2399, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2400", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2400, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2401", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2401, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2402", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2402, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2403", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2403, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2404", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2404, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2405", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2405, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2406", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2406, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2407", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2407, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2408", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2408, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2409", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2409, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2410", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2410, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2411", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2411, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2412", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2412, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2413", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2413, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2414", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2414, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2415", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2415, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2416", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2416, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2417", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2417, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2418", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2418, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2419", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2419, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) tissues \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) tissues \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 38781, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2420", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2420, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2421", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2421, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2422", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2422, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2423", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2423, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2424", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2424, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2425", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2425, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2426", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2426, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2427", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2427, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2428", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2428, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2429", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2429, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2430", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2430, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2431", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2431, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2432", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2432, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2433", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2433, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2434", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2434, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2435", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2435, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2436", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2436, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2437", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2437, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2438", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2438, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2439", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2439, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2440", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2440, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2441", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2441, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2442", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2442, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2443", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2443, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2444", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2444, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2445", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2445, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2446", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2446, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2447", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2447, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2448", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2448, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2449", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2449, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2450", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2450, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2451", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2451, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2452", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2452, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2453", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2453, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2454", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2454, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2455", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2455, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2456", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2456, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2457", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2457, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2458", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2458, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2459", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2459, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2460", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2460, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2461", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2461, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2462", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2462, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2463", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2463, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2464", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2464, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2465", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2465, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2466", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2466, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2467", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2467, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2468", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2468, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2469", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2469, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2470", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2470, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2471", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2471, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2472", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2472, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2473", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2473, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2474", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2474, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2475", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2475, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2476", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2476, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2477", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2477, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2478", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2478, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2479", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2479, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2480", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2480, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2481", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2481, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2482", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2482, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2483", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2483, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2484", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2484, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2485", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2485, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2486", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2486, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2487", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2487, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2488", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2488, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2489", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2489, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2490", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2490, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2491", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2491, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2492", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2492, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2493", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2493, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2494", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2494, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2495", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2495, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2496", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2496, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2497", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2497, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2498", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2498, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2499", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2499, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2500", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2500, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2501", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2501, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2502", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2502, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2503", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2503, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2504", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2504, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2505", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2505, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2506", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2506, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2507", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2507, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2508", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2508, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2509", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2509, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2510", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2510, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2511", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2511, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2512", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2512, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2513", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2513, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2514", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2514, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2515", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2515, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2516", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2516, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2517", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2517, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2518", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2518, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2519", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2519, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2520", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2520, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2521", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2521, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2522", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2522, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2523", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2523, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2524", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2524, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2525", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2525, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2526", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2526, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2527", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2527, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2528", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2528, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2529", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2529, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2530", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2530, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2531", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2531, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2532", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2532, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2533", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2533, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2534", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2534, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2535", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2535, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2536", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2536, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2537", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2537, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2538", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2538, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2539", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2539, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2540", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2540, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2541", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2541, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2542", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2542, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2543", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2543, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2544", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2544, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2545", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2545, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2546", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2546, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2547", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2547, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2548", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2548, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2549", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2549, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2550", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2550, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2551", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2551, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2552", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2552, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2553", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2553, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2554", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2554, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2555", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2555, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2556", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2556, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2557", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2557, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2558", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2558, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2559", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2559, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2560", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2560, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2561", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2561, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2562", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2562, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2563", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2563, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2564", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2564, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2565", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2565, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2566", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2566, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2567", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2567, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2568", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2568, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2569", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2569, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2570", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2570, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2571", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2571, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2572", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2572, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2573", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2573, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2574", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2574, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2575", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2575, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2576", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2576, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2577", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2577, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2578", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2578, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2579", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2579, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2580", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2580, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2581", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2581, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2582", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2582, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2583", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2583, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2584", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2584, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2585", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2585, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2586", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2586, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2587", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2587, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2588", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2588, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2589", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2589, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2590", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2590, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2591", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2591, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2592", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2592, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2593", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2593, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2594", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2594, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2595", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2595, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2596", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2596, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2597", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2597, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2598", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2598, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2599", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2599, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2600", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2600, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2601", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2601, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2602", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2602, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2603", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2603, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2604", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2604, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2605", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2605, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2606", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2606, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2607", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2607, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2608", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2608, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2609", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2609, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2610", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2610, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2611", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2611, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2612", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2612, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2613", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2613, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2614", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2614, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2615", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2615, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2616", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2616, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2617", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2617, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2618", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2618, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2619", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2619, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2620", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2620, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2621", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2621, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2622", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2622, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2623", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2623, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2624", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2624, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2625", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2625, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2626", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2626, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2627", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2627, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2628", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2628, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2629", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2629, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2630", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2630, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2631", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2631, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2632", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2632, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2633", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2633, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2634", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2634, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2635", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2635, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2636", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2636, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3D-2637", "benchmark": "cvbench", "split": "test", "config": "3D", "task": "Distance", "row_index": 2637, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/cvbench_full_test/swanlab.json b/reports/evaluations/checkpoint-7000/cvbench_full_test/swanlab.json new file mode 100644 index 0000000000000000000000000000000000000000..df311377f38c8846cdcb01a748eca67961812982 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/cvbench_full_test/swanlab.json @@ -0,0 +1,6 @@ +{ + "enabled": true, + "retry_upload": true, + "run_id": "t5gafmyt", + "run_url": "https://swanlab.cn/@Oranger/unified-model/runs/t5gafmyt" +} diff --git a/reports/evaluations/checkpoint-7000/cvbench_full_test/swanlab_retry/.gitignore b/reports/evaluations/checkpoint-7000/cvbench_full_test/swanlab_retry/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..f59ec20aabf5842d237244ece8c81ab184faeac1 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/cvbench_full_test/swanlab_retry/.gitignore @@ -0,0 +1 @@ +* \ No newline at end of file diff --git a/reports/evaluations/checkpoint-7000/cvbench_full_test/swanlab_retry/run-20260810_112943-t5gafmyt/debug/debug.log b/reports/evaluations/checkpoint-7000/cvbench_full_test/swanlab_retry/run-20260810_112943-t5gafmyt/debug/debug.log new file mode 100644 index 0000000000000000000000000000000000000000..cb90f40b48eadd103603ae915312febe5006c8f6 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/cvbench_full_test/swanlab_retry/run-20260810_112943-t5gafmyt/debug/debug.log @@ -0,0 +1 @@ +Diagnostic log bound to file: /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/cvbench_full_test/swanlab_retry/run-20260810_112943-t5gafmyt/debug/debug.log diff --git a/reports/evaluations/checkpoint-7000/cvbench_full_test/swanlab_retry/run-20260810_112943-t5gafmyt/files/config.yaml b/reports/evaluations/checkpoint-7000/cvbench_full_test/swanlab_retry/run-20260810_112943-t5gafmyt/files/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d48678faabb27379b32c335efb00fb7dc75614c8 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/cvbench_full_test/swanlab_retry/run-20260810_112943-t5gafmyt/files/config.yaml @@ -0,0 +1,86 @@ +attention: + desc: '' + sort: 0 + value: flash_attention_2 +benchmark: + desc: '' + sort: 1 + value: cvbench +checkpoint_step: + desc: '' + sort: 2 + value: 7000 +created_utc: + desc: '' + sort: 3 + value: '2026-08-10T11:28:46.976887+00:00' +decoding: + desc: '' + sort: 4 + value: greedy +dtype: + desc: '' + sort: 5 + value: bfloat16 +embedding_rows: + desc: '' + sort: 6 + value: 151936 +host: + desc: '' + sort: 7 + value: dedicated-developjob-js-public-huvlx +input_image_count_distribution: + desc: '' + sort: 8 + value: + '1': 2638 +manifest: + desc: '' + sort: 9 + value: /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/prepared/cvbench_full/manifest.jsonl +manifest_sha256: + desc: '' + sort: 10 + value: 2f2111f2dd3537bf39c495be5fe646e7c14bec825bd3b3a894697081b1709776 +max_new_tokens: + desc: '' + sort: 11 + value: 256 +model_path: + desc: '' + sort: 12 + value: /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/merged/checkpoint-7000-merged +required_token_ids: + desc: '' + sort: 13 + value: + : 151935 + : 151668 + : 151934 + : 151667 + <|depth_pad|>: 151931 + <|dino_pad|>: 151930 + <|pidinet_pad|>: 151932 + <|sam_pad|>: 151929 + <|siglip_pad|>: 151933 +sample_limit: + desc: '' + sort: 14 + value: {} +scoring: + desc: '' + sort: 15 + value: deterministic option exact-match; no LLM judge +split: + desc: '' + sort: 16 + value: test +tokenizer_length: + desc: '' + sort: 17 + value: 151936 +world_size: + desc: '' + sort: 18 + value: 8 diff --git a/reports/evaluations/checkpoint-7000/cvbench_full_test/swanlab_retry/run-20260810_112943-t5gafmyt/files/requirements.txt b/reports/evaluations/checkpoint-7000/cvbench_full_test/swanlab_retry/run-20260810_112943-t5gafmyt/files/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..edd41ff55621edbc9fe51e944b12254947a52f76 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/cvbench_full_test/swanlab_retry/run-20260810_112943-t5gafmyt/files/requirements.txt @@ -0,0 +1,305 @@ +absl-py==2.4.0 +accelerate==1.10.0 +addict==2.4.0 +aiofiles==24.1.0 +aiohappyeyeballs==2.6.1 +aiohttp==3.13.3 +aiosignal==1.4.0 +albucore==0.0.24 +albumentations==2.0.8 +annotated-doc==0.0.4 +annotated-types==0.6.0 +anthropic==0.97.0 +antlr4-python3-runtime==4.9.3 +anyio==4.12.1 +archspec==0.2.5 +attrs==25.4.0 +audioop-lts==0.2.2 +audioread==3.1.0 +av==16.1.0 +backports-zstd==1.3.0 +beautifulsoup4==4.14.3 +blessed==1.38.0 +bokeh==3.9.1 +boltons==25.0.0 +braceexpand==0.1.7 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a/reports/evaluations/checkpoint-7000/cvbench_full_test/swanlab_retry/run-20260810_112943-t5gafmyt/run-t5gafmyt.swanlab b/reports/evaluations/checkpoint-7000/cvbench_full_test/swanlab_retry/run-20260810_112943-t5gafmyt/run-t5gafmyt.swanlab new file mode 100644 index 0000000000000000000000000000000000000000..ff13ce0801be259df432b18ae9a7f61d0fc4853f Binary files /dev/null and b/reports/evaluations/checkpoint-7000/cvbench_full_test/swanlab_retry/run-20260810_112943-t5gafmyt/run-t5gafmyt.swanlab differ diff --git a/reports/evaluations/checkpoint-7000/vstar_diagnosis/VSTAR_ROOT_CAUSE_REPORT.html b/reports/evaluations/checkpoint-7000/vstar_diagnosis/VSTAR_ROOT_CAUSE_REPORT.html new file mode 100644 index 0000000000000000000000000000000000000000..39768b7f42185c5063631518cc6e505669e4eefa --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_diagnosis/VSTAR_ROOT_CAUSE_REPORT.html @@ -0,0 +1,4847 @@ + + + + + + + + +V*Bench 低分根因诊断 + + + +

Data Analytics report

V*Bench 低分根因诊断

checkpoint-7000 在 V*Bench 上的输入分辨率、定位机制和评测协议审计。

结论：53.40% 主要是固定 448×448 预处理造成的评测损失，不是 checkpoint-7000 的能力上限。

+

核心证据

+

保持宽高比并提高到约 0.8MP 后，同一模型从 53.40%Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json 提升到 83.25%Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json（+29.84Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json pp）；oracle 目标裁剪达到 91.62%Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json（+38.22Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json pp）。动态分辨率修正 62Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json 个原错误、只引入 5Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json 个新错误；oracle 修正 80Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json 个、只引入 7Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json 个。两组 McNemar 精确检验分别为 p=1.42e-13 和 p=8.26e-17。

Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json

Joins the 191-row manifest, V* annotations, fixed-resolution results, dynamic-resolution results, and oracle-crop results.

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有效视觉分辨率恢复了主要性能
有效视觉分辨率恢复了主要性能 data
输入条件准确率属性相对位置
固定 448 全图53.4%48.7%60.5%
动态全图 ≤0.8MP83.2%88.7%75%
Oracle crop 44891.6%99.1%80.3%
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三组受控实验

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| 输入条件 | 属性 | 相对位置 | 总体 | 正确数 | |---|---:|---:|---:|---:| | 固定 448Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json 全图 | 48.70%Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json | 60.53%Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json | 53.40%Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json | 102/191 | | 动态全图 ≤0.8MP | 88.70%Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json | 75.00%Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json | 83.25%Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json | 159/191 | | Oracle crop 448Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json | 99.13%Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json | 80.26%Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json | 91.62%Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json | 175/191 |

Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json

Joins the 191-row manifest, V* annotations, fixed-resolution results, dynamic-resolution results, and oracle-crop results.

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按固定 448Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json 下的目标最短边分组

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| 目标最短边 | 样本数 | 固定 448Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json | 动态 0.8MP | Oracle crop | |---|---:|---:|---:|---:| | ≤4Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json px | 33Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json | 33.33%Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json | 72.73%Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json | 90.91%Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json | | 4Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json–8Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json px | 67Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json | 49.25%Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json | 82.09%Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json | 86.57%Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json | | 8Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json–12Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json px | 42Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json | 54.76%Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json | 80.95%Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json | 95.24%Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json | | 12Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json–16Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json px | 24Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json | 66.67%Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json | 95.83%Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json | 100.00%Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json | | 16Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json–24Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json px | 19Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json | 78.95%Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json | 89.47%Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json | 89.47%Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json | | >24Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json px | 6Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json | 66.67%Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json | 100.00%Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json | 100.00%Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json |

Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json

Joins the 191-row manifest, V* annotations, fixed-resolution results, dynamic-resolution results, and oracle-crop results.

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数据与输出完整性

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191Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json 条 ID、图片尺寸和答案映射全部一致；推理错误为 0Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json，解析率为 100%Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json，CoVT <think>、anchor 和 <answer> 完整率均为 100%Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json。预测标签分布接近真值，没有固定选项偏置。

Source: 本地 V* 逐样本诊断File: outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json

Joins the 191-row manifest, V* annotations, fixed-resolution results, dynamic-resolution results, and oracle-crop results.

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本地实现根因

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当前评测器对每张图调用固定 resized_width=448、resized_height=448，没有保持 V* 原始高分辨率图片的宽高比。

Source: 本地多 benchmark 评测器File: code/umm/stage2_covt/eval_multibench.py

Inspects the image preprocessing and answer generation path in eval_multibench.py.

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官方协议差异

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VBench 专门测试高分辨率拥挤场景中的细粒度目标。官方消融中，无搜索 LLaVA 为 45.02%Source: V* 官方论文，加入 V* 搜索后为 75.39%Source: V* 官方论文；论文对端到端模型使用候选项 log-likelihood，而本项目当前使用 CoVT 自回归生成后 exact match。

Source: V* 官方论文

Primary paper for benchmark construction, baselines, likelihood scoring, and visual-search ablations.

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建议

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  1. 项目内默认 V* 评测改为保持宽高比、max_pixels=802816，结果标记为 dynamic-global / generation-match。
  2. 严格横向比较时实现候选项条件 NLL。
  3. 增加不使用真值框的多尺度 tile 或目标搜索，将局部 crop 与坐标反馈给模型。
  4. 保留固定 448 结果作为历史 ablation，不再作为主结果。
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限制

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动态全图约耗时 220 秒，固定 448 约 68 秒。oracle 使用真值框，只能证明定位/分辨率瓶颈，不能作为 benchmark 成绩。报告只绘制一个总体比较图；尺寸分组和协议差异需要精确数值与限定条件，使用表格比增加更多图形更清晰。

Sources

  1. 本地 V* 逐样本诊断outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json · local-json · 2026-08-10T17:26:00Z

    Joins the 191-row manifest, V* annotations, fixed-resolution results, dynamic-resolution results, and oracle-crop results.

  2. V* 诊断报告投影 SQL（来源：diagnosis.json）outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/vstar_report_data.sql · sqlite · 2026-08-10T17:27:14Z

    Projects the verified values from diagnosis.json into the report comparison chart.

    SQL query
    WITH run_scores(mode, overall, attribute, spatial, sort_order) AS (VALUES ('固定 448 全图', 0.5340314136, 0.4869565217, 0.6052631579, 1), ('动态全图 ≤0.8MP', 0.8324607330, 0.8869565217, 0.7500000000, 2), ('Oracle crop 448', 0.9162303665, 0.9913043478, 0.8026315789, 3)) SELECT mode, overall, attribute, spatial FROM run_scores ORDER BY sort_order;
  3. 本地多 benchmark 评测器code/umm/stage2_covt/eval_multibench.py · local-source · 2026-08-10T17:10:00Z

    Inspects the image preprocessing and answer generation path in eval_multibench.py.

  4. V* 官方论文web · 2026-08-10T17:05:00Z

    Primary paper for benchmark construction, baselines, likelihood scoring, and visual-search ablations.

  5. V* 官方评测实现web · 2026-08-10T17:05:00Z

    Official evaluator implementation showing recursive search, target crops, coordinates, and option-loss scoring.

+ + + + + + + diff --git a/reports/evaluations/checkpoint-7000/vstar_diagnosis/VSTAR_ROOT_CAUSE_REPORT.md b/reports/evaluations/checkpoint-7000/vstar_diagnosis/VSTAR_ROOT_CAUSE_REPORT.md new file mode 100644 index 0000000000000000000000000000000000000000..fd8cf8d1d9f43558d92e6519ce780de3a7d22c83 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_diagnosis/VSTAR_ROOT_CAUSE_REPORT.md @@ -0,0 +1,90 @@ +# V*Bench 低分根因诊断报告 + +生成时间：2026-08-10 17:27 UTC +模型：`stage2_covt_from3k_bcd_2k/checkpoint-7000-merged` +数据：V*Bench core test，191 条（属性 115、相对位置 76） + +## 结论 + +原先的 **53.40% 不是 checkpoint-7000 的真实视觉能力上限**。主要问题在评测输入：评测器把平均约 `2246×1583` 的高分辨率图片强制拉伸为 `448×448`，大量关键目标在模型输入中只剩个位数像素；同时，当前流程没有执行 V* 官方方案中的视觉搜索和局部裁剪。 + +只修改输入预处理、保持宽高比并将最大像素提高到约 0.8MP 后，同一模型、同一数据、同一生成与匹配规则从 **53.40% 提升到 83.25%（+29.84 pp）**。使用真值框生成 oracle 局部裁剪后达到 **91.62%（+38.22 pp）**。这两组配对提升均通过 McNemar 精确检验，分别为 `p=1.42e-13` 和 `p=8.26e-17`。 + +因此根因优先级是： + +1. **强制 448×448 缩放导致小目标信息丢失**； +2. **缺少 V* 所针对的视觉搜索/局部放大机制**； +3. **选项打分协议不一致**：官方端到端模型使用候选答案条件似然，本项目使用 CoVT 自回归生成后 exact match； +4. 剩余误差才是模型本身的识别与空间推理能力。 + +## 三组受控实验 + +| 输入与协议 | 属性 | 相对位置 | 总体 | 正确数 | 性质 | +|---|---:|---:|---:|---:|---| +| 全图，强制 448×448 | 48.70% | 60.53% | 53.40% | 102/191 | 原始结果 | +| 全图，保持比例，最高约 0.8MP | 88.70% | 75.00% | 83.25% | 159/191 | 建议作为项目内修正结果 | +| 真值目标框 oracle crop，448×448 | 99.13% | 80.26% | 91.62% | 175/191 | 仅用于诊断，不是合法 benchmark 分数 | + +动态分辨率相对原评测：97 条两者都正确，27 条两者都错误，62 条由错变对，5 条由对变错。oracle crop 相对原评测：80 条由错变对，7 条由对变错。 + +## 小目标证据 + +原图平均宽高为 `2246×1583`。按原评测强制缩放到 `448×448` 后： + +- 目标最短边中位数只有 **7.96 px**； +- **100/191** 个样本的目标最短边不超过 8 px，这组原始准确率只有 **44.00%**； +- **33/191** 个样本不超过 4 px，原始准确率只有 **33.33%**； +- 对同一批不超过 4 px 的样本，动态分辨率达到 **72.73%**，oracle crop 达到 **90.91%**； +- 在属性子集内，原评测中目标最短边 `≤4 px` 时仅 **34.78%**，而 `16–24 px` 时为 **78.57%**。 + +这说明错误率随缩放后的可见目标尺寸显著恶化，而且提高有效分辨率后同一批样本出现大规模、方向一致的恢复。 + +## 已排除的问题 + +- 191 条 manifest ID 与结果 ID 完全一致； +- 191 条图片尺寸与 manifest 一致； +- 191 条重排后的答案字母都能映射回官方标注中的第一条正确答案； +- 推理错误为 0，答案解析率为 100%； +- 191 条输出均包含完整 ``、CoVT anchor 和 ``； +- 预测字母分布 `A/B/C/D = 73/68/30/20`，与真值 `71/70/27/23` 接近，不存在明显固定选项偏置； +- 没有样本触及 256 token 生成上限。 + +所以这不是数据漏样、标签重排错误、答案解析失败或 CoVT 没有输出造成的。 + +## 与 V* 官方协议的差异 + +V*Bench 本来就是为高分辨率、视觉拥挤图像中的细粒度目标设计的。官方论文的消融中，同训练数据但无视觉搜索的 LLaVA* 为 45.02%，加入 V* 搜索后为 75.39%，说明搜索不是可有可无的评测细节。 + +官方实现会先判断缺失或模糊的目标，再递归视觉搜索，提取目标 crop，并把目标框坐标和局部特征一起送给 VQA 模型。对端到端模型，论文采用候选项 log-likelihood 选择答案。当前项目流程则只有一张全图，固定 448×448，然后生成 CoVT 和字母并 exact match。 + +因此原始 53.40% 只能解释为“固定 448、无搜索、生成式匹配”的项目内结果，不能与带视觉搜索的官方分数直接对比。动态 83.25% 同样是诊断后的项目内生成式结果，不应表述为严格复现官方 evaluator。 + +官方资料： + +- 论文：[V*: Guided Visual Search as a Core Mechanism in Multimodal LLMs](https://arxiv.org/abs/2312.14135) +- 官方代码：[penghao-wu/vstar](https://github.com/penghao-wu/vstar) +- 官方评测实现：[vstar_bench_eval.py](https://huggingface.co/spaces/craigwu/vstar/blob/main/vstar_bench_eval.py) + +## 建议修复 + +短期应将 V* 的默认项目内评测改为：保持原始宽高比，使用动态视觉分辨率，`max_pixels=802816`，继续保留无 judge 的确定性答案匹配。结果名称中应明确写 `dynamic-global / generation-match`，并保留原固定 448 结果作为历史 ablation。 + +如果需要严格可对外横向比较，应再实现两项： + +1. 对每个候选项计算条件 NLL/平均 token loss，选择最小者； +2. 增加不使用真值框的多尺度 tile 或目标搜索流程，将局部 crop 与坐标反馈给模型。 + +建议补充回归测试：固定检查输入宽高、实际视觉 token 数、191 条标签映射、解析率、错误数，并同时报告属性/空间两个子集。 + +## 限制 + +动态分辨率实验平均耗时约 220 秒，原固定 448 约 68 秒，在当前并行负载下约慢 3.2 倍。运行时出现 tokenizer 的 1024 长度提示，但模型文本配置实际支持 262144，全部样本推理成功；仍建议把 tokenizer 元数据与模型配置对齐，避免后续工具误判。oracle crop 使用了真值框，只能证明定位/分辨率瓶颈，不能作为最终成绩。 + +## 产物 + +- `diagnosis.json`：完整统计、置信区间和配对检验 +- `sample_diagnostics.csv`：191 条逐样本尺寸、目标框和三组预测 +- `global_dynamic_0p8mp/`：动态全图诊断结果 +- `oracle_crop_fixed448/`：oracle crop 诊断结果 +- `sensitivity.log`：两组 8 卡运行日志 + diff --git a/reports/evaluations/checkpoint-7000/vstar_diagnosis/artifact.json b/reports/evaluations/checkpoint-7000/vstar_diagnosis/artifact.json new file mode 100644 index 0000000000000000000000000000000000000000..64157186de76335adde460350ab9f7b55068c3e3 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_diagnosis/artifact.json @@ -0,0 +1,184 @@ +{ + "surface": "report", + "manifest": { + "version": 1, + "surface": "report", + "title": "V*Bench 低分根因诊断", + "description": "checkpoint-7000 在 V*Bench 上的输入分辨率、定位机制和评测协议审计。", + "generatedAt": "2026-08-10T17:27:14Z", + "cards": [], + "charts": [ + { + "id": "accuracy_comparison", + "title": "有效视觉分辨率恢复了主要性能", + "subtitle": "同一 checkpoint、同一 191 条样本；oracle 仅用于诊断。", + "type": "bar", + "dataset": "run_scores", + "sourceId": "vstar_report_sql", + "valueFormat": "percent", + "encodings": { + "x": {"field": "mode", "type": "nominal", "label": "输入条件"}, + "y": {"field": "overall", "type": "quantitative", "label": "准确率"}, + "tooltip": [ + {"field": "attribute", "type": "quantitative", "label": "属性", "format": "percent"}, + {"field": "spatial", "type": "quantitative", "label": "相对位置", "format": "percent"} + ] + } + } + ], + "tables": [], + "sources": [ + { + "id": "vstar_diagnosis", + "label": "本地 V* 逐样本诊断", + "path": "outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/diagnosis.json" + }, + { + "id": "vstar_report_sql", + "label": "V* 诊断报告投影 SQL（来源：diagnosis.json）", + "path": "outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/vstar_report_data.sql" + }, + { + "id": "local_eval_code", + "label": "本地多 benchmark 评测器", + "path": "code/umm/stage2_covt/eval_multibench.py" + }, + { + "id": "vstar_paper", + "label": "V* 官方论文", + "href": "https://arxiv.org/abs/2312.14135" + }, + { + "id": "vstar_official_eval", + "label": "V* 官方评测实现", + "href": "https://huggingface.co/spaces/craigwu/vstar/blob/main/vstar_bench_eval.py" + } + ], + "blocks": [ + { + "id": "title", + "type": "markdown", + "body": "# V*Bench 低分根因诊断\n\n**结论：53.40% 主要是固定 448×448 预处理造成的评测损失，不是 checkpoint-7000 的能力上限。**" + }, + { + "id": "executive_summary", + "type": "markdown", + "sourceId": "vstar_diagnosis", + "body": "## 核心证据\n\n保持宽高比并提高到约 0.8MP 后，同一模型从 **53.40%** 提升到 **83.25%（+29.84 pp）**；oracle 目标裁剪达到 **91.62%（+38.22 pp）**。动态分辨率修正 62 个原错误、只引入 5 个新错误；oracle 修正 80 个、只引入 7 个。两组 McNemar 精确检验分别为 `p=1.42e-13` 和 `p=8.26e-17`。" + }, + {"id": "accuracy_chart", "type": "chart", "chartId": "accuracy_comparison"}, + { + "id": "score_detail", + "type": "markdown", + "sourceId": "vstar_diagnosis", + "body": "## 三组受控实验\n\n| 输入条件 | 属性 | 相对位置 | 总体 | 正确数 |\n|---|---:|---:|---:|---:|\n| 固定 448 全图 | 48.70% | 60.53% | 53.40% | 102/191 |\n| 动态全图 ≤0.8MP | 88.70% | 75.00% | 83.25% | 159/191 |\n| Oracle crop 448 | 99.13% | 80.26% | 91.62% | 175/191 |" + }, + { + "id": "target_scale", + "type": "markdown", + "sourceId": "vstar_diagnosis", + "body": "## 按固定 448 下的目标最短边分组\n\n| 目标最短边 | 样本数 | 固定 448 | 动态 0.8MP | Oracle crop |\n|---|---:|---:|---:|---:|\n| ≤4 px | 33 | 33.33% | 72.73% | 90.91% |\n| 4–8 px | 67 | 49.25% | 82.09% | 86.57% |\n| 8–12 px | 42 | 54.76% | 80.95% | 95.24% |\n| 12–16 px | 24 | 66.67% | 95.83% | 100.00% |\n| 16–24 px | 19 | 78.95% | 89.47% | 89.47% |\n| >24 px | 6 | 66.67% | 100.00% | 100.00% |" + }, + { + "id": "integrity", + "type": "markdown", + "sourceId": "vstar_diagnosis", + "body": "## 数据与输出完整性\n\n191 条 ID、图片尺寸和答案映射全部一致；推理错误为 0，解析率为 100%，CoVT ``、anchor 和 `` 完整率均为 100%。预测标签分布接近真值，没有固定选项偏置。" + }, + { + "id": "local_root_cause", + "type": "markdown", + "sourceId": "local_eval_code", + "body": "## 本地实现根因\n\n当前评测器对每张图调用固定 `resized_width=448`、`resized_height=448`，没有保持 V* 原始高分辨率图片的宽高比。" + }, + { + "id": "official_protocol", + "type": "markdown", + "sourceId": "vstar_paper", + "body": "## 官方协议差异\n\nV*Bench 专门测试高分辨率拥挤场景中的细粒度目标。官方消融中，无搜索 LLaVA* 为 45.02%，加入 V* 搜索后为 75.39%；论文对端到端模型使用候选项 log-likelihood，而本项目当前使用 CoVT 自回归生成后 exact match。" + }, + { + "id": "recommendations", + "type": "markdown", + "body": "## 建议\n\n1. 项目内默认 V* 评测改为保持宽高比、`max_pixels=802816`，结果标记为 `dynamic-global / generation-match`。\n2. 严格横向比较时实现候选项条件 NLL。\n3. 增加不使用真值框的多尺度 tile 或目标搜索，将局部 crop 与坐标反馈给模型。\n4. 保留固定 448 结果作为历史 ablation，不再作为主结果。" + }, + { + "id": "limitations", + "type": "markdown", + "body": "## 限制\n\n动态全图约耗时 220 秒，固定 448 约 68 秒。oracle 使用真值框，只能证明定位/分辨率瓶颈，不能作为 benchmark 成绩。报告只绘制一个总体比较图；尺寸分组和协议差异需要精确数值与限定条件，使用表格比增加更多图形更清晰。" + } + ] + }, + "snapshot": { + "version": 1, + "generatedAt": "2026-08-10T17:27:14Z", + "status": "ready", + "datasets": { + "experiment_summary": [ + {"record": "summary", "fixed_accuracy": 0.5340314136, "dynamic_accuracy": 0.8324607330, "oracle_accuracy": 0.9162303665} + ], + "run_scores": [ + {"mode": "固定 448 全图", "attribute": 0.4869565217, "spatial": 0.6052631579, "overall": 0.5340314136, "correct": 102}, + {"mode": "动态全图 ≤0.8MP", "attribute": 0.8869565217, "spatial": 0.75, "overall": 0.8324607330, "correct": 159}, + {"mode": "Oracle crop 448", "attribute": 0.9913043478, "spatial": 0.8026315789, "overall": 0.9162303665, "correct": 175} + ], + "target_scale_scores": [ + {"target_bin": "≤4 px", "samples": 33, "fixed": 0.3333333333, "dynamic": 0.7272727273, "oracle": 0.9090909091}, + {"target_bin": "4–8 px", "samples": 67, "fixed": 0.4925373134, "dynamic": 0.8208955224, "oracle": 0.8656716418}, + {"target_bin": "8–12 px", "samples": 42, "fixed": 0.5476190476, "dynamic": 0.8095238095, "oracle": 0.9523809524}, + {"target_bin": "12–16 px", "samples": 24, "fixed": 0.6666666667, "dynamic": 0.9583333333, "oracle": 1.0}, + {"target_bin": "16–24 px", "samples": 19, "fixed": 0.7894736842, "dynamic": 0.8947368421, "oracle": 0.8947368421}, + {"target_bin": ">24 px", "samples": 6, "fixed": 0.6666666667, "dynamic": 1.0, "oracle": 1.0} + ] + } + }, + "sources": [ + { + "id": "vstar_diagnosis", + "query": { + "engine": "local-json", + "description": "Joins the 191-row manifest, V* annotations, fixed-resolution results, dynamic-resolution results, and oracle-crop results.", + "executed_at": "2026-08-10T17:26:00Z" + } + }, + { + "id": "vstar_report_sql", + "query": { + "engine": "sqlite", + "sql": "WITH run_scores(mode, overall, attribute, spatial, sort_order) AS (VALUES ('固定 448 全图', 0.5340314136, 0.4869565217, 0.6052631579, 1), ('动态全图 ≤0.8MP', 0.8324607330, 0.8869565217, 0.7500000000, 2), ('Oracle crop 448', 0.9162303665, 0.9913043478, 0.8026315789, 3)) SELECT mode, overall, attribute, spatial FROM run_scores ORDER BY sort_order;", + "description": "Projects the verified values from diagnosis.json into the report comparison chart.", + "executed_at": "2026-08-10T17:27:14Z" + } + }, + { + "id": "local_eval_code", + "query": { + "engine": "local-source", + "description": "Inspects the image preprocessing and answer generation path in eval_multibench.py.", + "executed_at": "2026-08-10T17:10:00Z" + } + }, + { + "id": "vstar_paper", + "query": { + "engine": "web", + "url": "https://arxiv.org/abs/2312.14135", + "description": "Primary paper for benchmark construction, baselines, likelihood scoring, and visual-search ablations.", + "executed_at": "2026-08-10T17:05:00Z" + } + }, + { + "id": "vstar_official_eval", + "query": { + "engine": "web", + "url": "https://huggingface.co/spaces/craigwu/vstar/blob/main/vstar_bench_eval.py", + "description": "Official evaluator implementation showing recursive search, target crops, coordinates, and option-loss scoring.", + "executed_at": "2026-08-10T17:05:00Z" + } + } + ], + "package_info": { + "originUrl": "artifact://vstar-root-cause-diagnosis", + "controls": {"edit": false, "refresh": false} + } +} diff --git a/reports/evaluations/checkpoint-7000/vstar_diagnosis/diagnosis.json b/reports/evaluations/checkpoint-7000/vstar_diagnosis/diagnosis.json new file mode 100644 index 0000000000000000000000000000000000000000..050a741a3157d14d197a373c75a8295576c7a7d2 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_diagnosis/diagnosis.json @@ -0,0 +1,1710 @@ +{ + "image_and_target_scale": { + "accuracy_by_image_megapixels": { + "(2, 3]": { + "accuracy": 0.5625, + "correct": 9, + "samples": 16, + "wilson_95ci": [ + 0.331785563988119, + 0.7690134759450765 + ] + }, + "(3, 4]": { + "accuracy": 0.5220125786163522, + "correct": 83, + "samples": 159, + "wilson_95ci": [ + 0.44477052971287734, + 0.598216066272533 + ] + }, + "(4, 6]": { + "accuracy": 0.6153846153846154, + "correct": 8, + "samples": 13, + "wilson_95ci": [ + 0.355228915126657, + 0.8229029220223743 + ] + }, + "(6, inf)": { + "accuracy": 0.6666666666666666, + "correct": 2, + "samples": 3, + "wilson_95ci": [ + 0.2076596008020477, + 0.9385080552796037 + ] + } + }, + "accuracy_by_projected_min_side_bin": { + "(-inf, 4]": { + "accuracy": 0.3333333333333333, + "correct": 11, + "samples": 33, + "wilson_95ci": [ + 0.19750227679220683, + 0.5039210557219438 + ] + }, + "(12, 16]": { + "accuracy": 0.6666666666666666, + "correct": 16, + "samples": 24, + "wilson_95ci": [ + 0.4670631683813174, + 0.8202780967270225 + ] + }, + "(16, 24]": { + "accuracy": 0.7894736842105263, + "correct": 15, + "samples": 19, + "wilson_95ci": [ + 0.5666572155618583, + 0.9149232336708375 + ] + }, + "(24, 32]": { + "accuracy": 0.5, + "correct": 2, + 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"/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_24031.jpg", + "image_width": 2250, + "mapping_valid": true, + "max_center_distance": 0.6541541706756486, + "min_projected_area_448": 39.546121481481485, + "min_projected_side_448": 3.783111111111111, + "min_target_area_fraction": 0.00019703703703703704, + "oracle_correct": true, + "oracle_error": null, + "oracle_predicted": "B", + "predicted": "A", + "predicted_choice": "left", + "question": "Is the dog on the left or right side of the river?", + "question_type": "relative_position", + "sample_id": "136", + "target_count": 1, + "target_objects": "dog" + }, + { + "choice_count": 4, + "config": "direct_attributes", + "correct": false, + "dynamic_correct": true, + "dynamic_error": null, + "dynamic_predicted": "A", + "error": null, + "expected": "A", + "expected_choice": "white", + "image_height": 1500, + "image_megapixels": 4.0005, + "image_path": "/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_42585.jpg", + "image_width": 2667, + "mapping_valid": true, + "max_center_distance": 0.7905614437401765, + "min_projected_area_448": 33.46320909886264, + "min_projected_side_448": 3.863517060367454, + "min_target_area_fraction": 0.0001667291588551431, + "oracle_correct": true, + "oracle_error": null, + "oracle_predicted": "A", + "predicted": "D", + "predicted_choice": "red", + "question": "What is the color of the helmet?", + "question_type": "color", + "sample_id": "93", + "target_count": 1, + "target_objects": "helmet" + } + ] +} diff --git a/reports/evaluations/checkpoint-7000/vstar_diagnosis/diagnostic_audit.log b/reports/evaluations/checkpoint-7000/vstar_diagnosis/diagnostic_audit.log new file mode 100644 index 0000000000000000000000000000000000000000..e7d88c229568f2213f1f867600dd13ab420f7bb2 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_diagnosis/diagnostic_audit.log @@ -0,0 +1 @@ +[{"accuracy": 0.8324607329842932, "benchmark": "vstar", "checks": {"all_inference_errors_zero": true, "correct_flags_recomputed": true, "expected_answers_exact": true, "manifest_result_ids_exact": true, "no_generation_hit_cap": true, "published_core_metrics_recomputed": true}, "config_scores": {"direct_attributes": {"accuracy": 0.8869565217391304, "correct": 102, "samples": 115}, "relative_position": {"accuracy": 0.75, "correct": 57, "samples": 76}}, "correct": 159, "errors": 0, "generated_tokens": {"at_256_cap": 0, "max": 93, "median": 90, "min": 88, "p95": 90}, "parse_rate": 1.0, "parsed": 191, "samples": 191, "split": "test", "task_scores": {"direct_attributes": {"accuracy": 0.8869565217391304, "correct": 102, "samples": 115}, "relative_position": {"accuracy": 0.75, "correct": 57, "samples": 76}}}, {"accuracy": 0.9162303664921466, "benchmark": "vstar", "checks": {"all_inference_errors_zero": 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0000000000000000000000000000000000000000..8c42e1c727d520f0dd22141a2519e3cfd7d58922 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_diagnosis/global_dynamic_0p8mp/audit.json @@ -0,0 +1,49 @@ +{ + "accuracy": 0.8324607329842932, + "benchmark": "vstar", + "checks": { + "all_inference_errors_zero": true, + "correct_flags_recomputed": true, + "expected_answers_exact": true, + "manifest_result_ids_exact": true, + "no_generation_hit_cap": true, + "published_core_metrics_recomputed": true + }, + "config_scores": { + "direct_attributes": { + "accuracy": 0.8869565217391304, + "correct": 102, + "samples": 115 + }, + "relative_position": { + "accuracy": 0.75, + "correct": 57, + "samples": 76 + } + }, + "correct": 159, + "errors": 0, + "generated_tokens": { + "at_256_cap": 0, + "max": 93, + "median": 90, + "min": 88, + "p95": 90 + }, + "parse_rate": 1.0, + "parsed": 191, + "samples": 191, + "split": "test", + "task_scores": { + "direct_attributes": { + "accuracy": 0.8869565217391304, + "correct": 102, + "samples": 115 + }, + "relative_position": { + "accuracy": 0.75, + "correct": 57, + "samples": 76 + } + } +} diff --git a/reports/evaluations/checkpoint-7000/vstar_diagnosis/global_dynamic_0p8mp/metrics.json b/reports/evaluations/checkpoint-7000/vstar_diagnosis/global_dynamic_0p8mp/metrics.json new file mode 100644 index 0000000000000000000000000000000000000000..2f0d99886527e7d30b774b0d389714ab596ef539 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_diagnosis/global_dynamic_0p8mp/metrics.json @@ -0,0 +1,64 @@ +{ + "metadata": { + "attention": "flash_attention_2", + "benchmark": "vstar", + "checkpoint_step": 7000, + "created_utc": "2026-08-10T17:21:07.075172+00:00", + "decoding": "greedy", + "dtype": "bfloat16", + "embedding_rows": 151936, + "eval_image_mode": "global", + "host": "dedicated-developjob-js-public-huvlx", + "image_max_pixels": 802816, + "image_min_pixels": 200704, + "image_resized_height": null, + "image_resized_width": null, + "input_image_count_distribution": { + "1": 191 + }, + "manifest": "/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/prepared/vstar_test/manifest.jsonl", + "manifest_sha256": "37eb222de48c369e7ea19065e392f1e8430ac70f999b0a2989f8940db8b60531", + "max_new_tokens": 256, + "model_path": "/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/merged/checkpoint-7000-merged", + "oracle_context_scale": null, + "required_token_ids": { + "": 151935, + "": 151668, + "": 151934, + "": 151667, + "<|depth_pad|>": 151931, + "<|dino_pad|>": 151930, + "<|pidinet_pad|>": 151932, + "<|sam_pad|>": 151929, + "<|siglip_pad|>": 151933 + }, + "sample_limit": null, + "scoring": "deterministic option exact-match; no LLM judge", + "split": "test", + "tokenizer_length": 151936, + "world_size": 8 + }, + "metrics": { + "eval/vstar_accuracy": 0.8324607329842932, + "eval/vstar_config_macro_accuracy": 0.8184782608695652, + 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b/reports/evaluations/checkpoint-7000/vstar_diagnosis/global_dynamic_0p8mp/rank_00.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8a99d85ebe501eb53598d068720409ea93230d2f --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_diagnosis/global_dynamic_0p8mp/rank_00.jsonl @@ -0,0 +1,24 @@ +{"sample_id": "0", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 0, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 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<|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 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<|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 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<|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "40", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 40, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "48", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 48, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "56", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 56, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "64", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 64, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "72", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 72, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "80", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 80, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "88", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 88, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "96", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 96, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "104", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 104, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "112", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 112, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "120", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 120, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "128", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 128, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "136", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 136, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "144", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 144, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "152", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 152, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "160", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 160, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "168", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 168, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "176", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 176, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "184", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 184, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/vstar_diagnosis/global_dynamic_0p8mp/rank_01.jsonl b/reports/evaluations/checkpoint-7000/vstar_diagnosis/global_dynamic_0p8mp/rank_01.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b84ccffd84ff031c795ab16025c2f0a57d51b022 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_diagnosis/global_dynamic_0p8mp/rank_01.jsonl @@ -0,0 +1,24 @@ +{"sample_id": "1", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 1, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "9", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 9, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "17", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 17, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "25", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 25, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "33", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 33, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "41", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 41, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "49", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 49, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "57", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 57, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "65", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 65, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "73", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 73, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "81", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 81, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "89", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 89, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "97", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 97, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "105", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 105, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "113", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 113, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "121", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 121, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "129", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 129, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "137", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 137, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "145", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 145, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "153", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 153, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "161", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 161, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "169", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 169, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "177", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 177, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "185", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 185, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/vstar_diagnosis/global_dynamic_0p8mp/rank_02.jsonl b/reports/evaluations/checkpoint-7000/vstar_diagnosis/global_dynamic_0p8mp/rank_02.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b1081dabe175f184229c9abdf9029ef69bad9096 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_diagnosis/global_dynamic_0p8mp/rank_02.jsonl @@ -0,0 +1,24 @@ +{"sample_id": "2", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 2, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "10", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 10, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "18", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 18, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "26", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 26, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "34", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 34, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "42", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 42, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "50", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 50, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "58", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 58, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "66", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 66, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "74", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 74, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "82", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 82, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "90", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 90, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "98", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 98, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "106", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 106, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "114", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 114, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "122", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 122, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "130", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 130, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "138", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 138, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "146", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 146, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "154", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 154, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "162", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 162, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "170", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 170, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "178", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 178, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "186", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 186, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/vstar_diagnosis/global_dynamic_0p8mp/rank_03.jsonl b/reports/evaluations/checkpoint-7000/vstar_diagnosis/global_dynamic_0p8mp/rank_03.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..70a34ec2048d24ed166bc878c522520396713fac --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_diagnosis/global_dynamic_0p8mp/rank_03.jsonl @@ -0,0 +1,24 @@ +{"sample_id": "3", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 3, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "11", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 11, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "19", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 19, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "27", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 27, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "35", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 35, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "43", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 43, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "51", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 51, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "59", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 59, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "67", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 67, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "75", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 75, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "83", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 83, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "91", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 91, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "99", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 99, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "107", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 107, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "115", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 115, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "123", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 123, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "131", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 131, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "139", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 139, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "147", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 147, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "155", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 155, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "163", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 163, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "171", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 171, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "179", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 179, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "187", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 187, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/vstar_diagnosis/global_dynamic_0p8mp/rank_04.jsonl b/reports/evaluations/checkpoint-7000/vstar_diagnosis/global_dynamic_0p8mp/rank_04.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cd95599b231132c233bc894b66af08c6e93d9eda --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_diagnosis/global_dynamic_0p8mp/rank_04.jsonl @@ -0,0 +1,24 @@ +{"sample_id": "4", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 4, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "12", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 12, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "20", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 20, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "28", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 28, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "36", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 36, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "44", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 44, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "52", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 52, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "60", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 60, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "68", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 68, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "76", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 76, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "84", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 84, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "92", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 92, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "100", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 100, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "108", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 108, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "116", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 116, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "124", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 124, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "132", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 132, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "140", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 140, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "148", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 148, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "156", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 156, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "164", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 164, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "172", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 172, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "180", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 180, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "188", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 188, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/vstar_diagnosis/global_dynamic_0p8mp/rank_05.jsonl b/reports/evaluations/checkpoint-7000/vstar_diagnosis/global_dynamic_0p8mp/rank_05.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2af15a1aa59ffb358b572d40088bbcbe1e8872e2 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_diagnosis/global_dynamic_0p8mp/rank_05.jsonl @@ -0,0 +1,24 @@ +{"sample_id": "5", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 5, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "13", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 13, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "21", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 21, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "29", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 29, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "37", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 37, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "45", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 45, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "53", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 53, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "61", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 61, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "69", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 69, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 people ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 people <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 1251, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "77", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 77, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "85", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 85, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "93", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 93, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "101", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 101, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "109", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 109, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "117", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 117, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "125", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 125, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "133", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 133, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "141", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 141, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "149", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 149, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "157", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 157, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "165", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 165, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "173", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 173, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "181", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 181, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "189", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 189, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/vstar_diagnosis/global_dynamic_0p8mp/rank_06.jsonl b/reports/evaluations/checkpoint-7000/vstar_diagnosis/global_dynamic_0p8mp/rank_06.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3e9d578e2930e2a55890bc6899a98c0776a21eb8 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_diagnosis/global_dynamic_0p8mp/rank_06.jsonl @@ -0,0 +1,24 @@ +{"sample_id": "6", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 6, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "14", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 14, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "22", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 22, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "30", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 30, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "38", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 38, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "46", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 46, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "54", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 54, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "62", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 62, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "70", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 70, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "78", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 78, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "86", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 86, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "94", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 94, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "102", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 102, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "110", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 110, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "118", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 118, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "126", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 126, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "134", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 134, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "142", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 142, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "150", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 150, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "158", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 158, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "166", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 166, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "174", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 174, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "182", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 182, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "190", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 190, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/vstar_diagnosis/global_dynamic_0p8mp/rank_07.jsonl b/reports/evaluations/checkpoint-7000/vstar_diagnosis/global_dynamic_0p8mp/rank_07.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2f29271e35b07d057cd30bdd93db7ff5eee7b761 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_diagnosis/global_dynamic_0p8mp/rank_07.jsonl @@ -0,0 +1,23 @@ +{"sample_id": "7", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 7, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "15", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 15, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "23", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 23, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "31", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 31, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "39", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 39, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "47", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 47, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "55", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 55, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "63", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 63, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "71", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 71, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "79", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 79, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "87", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 87, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "95", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 95, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "103", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 103, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "111", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 111, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "119", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 119, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "127", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 127, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "135", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 135, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "143", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 143, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "151", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 151, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "159", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 159, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "167", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 167, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "175", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 175, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "183", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 183, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/vstar_diagnosis/global_dynamic_0p8mp/results.jsonl b/reports/evaluations/checkpoint-7000/vstar_diagnosis/global_dynamic_0p8mp/results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..709522c6ed7dd5661fe0bee82dc86a7266bd7180 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_diagnosis/global_dynamic_0p8mp/results.jsonl @@ -0,0 +1,191 @@ +{"sample_id": "0", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 0, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "1", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 1, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 2, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 3, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "4", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 4, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "5", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 5, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "6", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 6, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "7", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 7, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "8", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 8, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "9", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 9, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "10", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 10, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "11", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 11, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "12", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 12, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "13", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 13, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "14", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 14, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "15", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 15, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "16", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 16, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "17", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 17, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "18", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 18, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "19", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 19, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "20", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 20, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "21", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 21, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "22", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 22, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "23", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 23, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "24", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 24, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "25", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 25, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "26", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 26, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "27", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 27, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "28", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 28, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "29", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 29, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "30", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 30, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "31", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 31, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "32", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 32, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "33", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 33, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "34", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 34, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "35", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 35, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "36", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 36, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "37", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 37, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "38", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 38, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "39", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 39, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "40", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 40, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "41", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 41, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "42", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 42, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "43", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 43, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "44", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 44, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "45", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 45, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "46", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 46, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "47", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 47, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "48", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 48, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "49", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 49, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "50", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 50, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "51", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 51, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "52", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 52, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "53", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 53, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "54", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 54, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "55", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 55, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "56", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 56, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "57", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 57, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "58", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 58, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "59", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 59, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "60", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 60, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "61", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 61, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "62", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 62, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "63", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 63, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "64", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 64, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "65", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 65, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "66", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 66, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "67", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 67, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "68", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 68, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "69", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 69, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) 2 people ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) 2 people <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 17, 1251, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "70", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 70, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "71", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 71, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "72", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 72, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "73", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 73, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "74", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 74, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "75", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 75, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "76", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 76, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "77", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 77, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "78", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 78, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "79", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 79, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "80", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 80, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "81", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 81, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "82", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 82, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "83", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 83, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "84", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 84, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "85", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 85, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "86", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 86, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "87", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 87, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "88", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 88, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "89", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 89, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "90", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 90, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "91", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 91, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "92", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 92, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "93", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 93, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "94", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 94, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "95", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 95, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "96", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 96, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "97", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 97, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "98", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 98, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "99", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 99, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "100", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 100, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "101", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 101, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "102", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 102, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "103", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 103, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "104", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 104, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "105", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 105, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "106", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 106, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "107", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 107, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "108", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 108, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "109", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 109, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "110", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 110, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "111", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 111, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "112", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 112, "image_count": 1, "eval_image_mode": "global", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "113", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 113, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "114", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 114, "image_count": 1, "eval_image_mode": "global", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "115", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 115, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "116", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 116, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "117", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 117, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "118", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 118, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "119", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 119, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "120", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 120, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "121", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 121, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "122", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 122, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "123", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 123, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "124", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 124, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "125", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 125, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "126", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 126, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "127", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 127, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "128", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 128, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "129", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 129, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "130", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 130, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "131", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 131, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "132", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 132, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "133", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 133, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "134", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 134, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "135", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 135, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "136", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 136, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "137", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 137, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "138", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 138, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "139", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 139, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "140", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 140, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "141", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 141, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "142", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 142, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "143", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 143, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "144", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 144, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "145", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 145, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "146", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 146, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "147", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 147, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "148", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 148, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "149", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 149, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "150", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 150, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "151", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 151, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "152", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 152, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "153", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 153, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "154", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 154, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "155", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 155, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "156", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 156, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "157", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 157, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "158", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 158, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "159", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 159, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "160", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 160, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "161", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 161, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "162", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 162, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "163", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 163, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "164", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 164, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "165", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 165, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "166", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 166, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "167", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 167, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "168", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 168, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "169", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 169, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "170", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 170, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "171", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 171, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "172", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 172, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "173", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 173, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "174", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 174, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "175", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 175, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "176", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 176, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "177", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 177, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "178", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 178, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "179", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 179, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "180", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 180, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "181", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 181, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "182", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 182, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "183", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 183, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "184", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 184, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "185", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 185, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "186", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 186, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "187", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 187, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "188", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 188, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "189", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 189, "image_count": 1, "eval_image_mode": "global", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "190", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 190, "image_count": 1, "eval_image_mode": "global", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/vstar_diagnosis/global_dynamic_0p8mp/swanlab.json b/reports/evaluations/checkpoint-7000/vstar_diagnosis/global_dynamic_0p8mp/swanlab.json new file mode 100644 index 0000000000000000000000000000000000000000..010732bf7f962445769e70da5df8413d608f3b81 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_diagnosis/global_dynamic_0p8mp/swanlab.json @@ -0,0 +1,3 @@ +{ + "enabled": false +} diff --git a/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/audit.json b/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/audit.json new file mode 100644 index 0000000000000000000000000000000000000000..70558e5f01bd95504ae6ec90603580f5c8644e97 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/audit.json @@ -0,0 +1,49 @@ +{ + "accuracy": 0.9162303664921466, + "benchmark": "vstar", + "checks": { + "all_inference_errors_zero": true, + "correct_flags_recomputed": true, + "expected_answers_exact": true, + "manifest_result_ids_exact": true, + "no_generation_hit_cap": true, + "published_core_metrics_recomputed": true + }, + "config_scores": { + "direct_attributes": { + "accuracy": 0.991304347826087, + "correct": 114, + "samples": 115 + }, + "relative_position": { + "accuracy": 0.8026315789473685, + "correct": 61, + "samples": 76 + } + }, + "correct": 175, + "errors": 0, + "generated_tokens": { + "at_256_cap": 0, + "max": 91, + "median": 90, + "min": 88, + "p95": 91 + }, + "parse_rate": 1.0, + "parsed": 191, + "samples": 191, + "split": "test", + "task_scores": { + "direct_attributes": { + "accuracy": 0.991304347826087, + "correct": 114, + "samples": 115 + }, + "relative_position": { + "accuracy": 0.8026315789473685, + "correct": 61, + "samples": 76 + } + } +} diff --git a/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/metrics.json b/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/metrics.json new file mode 100644 index 0000000000000000000000000000000000000000..0fb954dcc1fe0d2d741ca47b77963265b627e845 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/metrics.json @@ -0,0 +1,64 @@ +{ + "metadata": { + "attention": "flash_attention_2", + "benchmark": "vstar", + "checkpoint_step": 7000, + "created_utc": "2026-08-10T17:25:07.854455+00:00", + "decoding": "greedy", + "dtype": "bfloat16", + "embedding_rows": 151936, + "eval_image_mode": "vstar_oracle_crop", + "host": "dedicated-developjob-js-public-huvlx", + "image_max_pixels": 802816, + "image_min_pixels": 200704, + "image_resized_height": 448, + "image_resized_width": 448, + "input_image_count_distribution": { + "1": 191 + }, + "manifest": "/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/prepared/vstar_test/manifest.jsonl", + "manifest_sha256": "37eb222de48c369e7ea19065e392f1e8430ac70f999b0a2989f8940db8b60531", + "max_new_tokens": 256, + "model_path": "/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/merged/checkpoint-7000-merged", + "oracle_context_scale": 2.0, + "required_token_ids": { + "": 151935, + "": 151668, + "": 151934, + "": 151667, + "<|depth_pad|>": 151931, + "<|dino_pad|>": 151930, + "<|pidinet_pad|>": 151932, + "<|sam_pad|>": 151929, + "<|siglip_pad|>": 151933 + }, + "sample_limit": null, + "scoring": "deterministic option exact-match; no LLM judge", + "split": "test", + "tokenizer_length": 151936, + "world_size": 8 + }, + "metrics": { + "eval/vstar_accuracy": 0.9162303664921466, + "eval/vstar_config_macro_accuracy": 0.8969679633867278, + "eval/vstar_covt_answer_tag_rate": 1.0, + "eval/vstar_covt_any_anchor_rate": 1.0, + "eval/vstar_covt_depth_tokens_mean": 4.0, + "eval/vstar_covt_dino_tokens_mean": 4.0, + "eval/vstar_covt_pidinet_tokens_mean": 4.0, + "eval/vstar_covt_sam_tokens_mean": 8.0, + "eval/vstar_covt_siglip_tokens_mean": 4.0, + "eval/vstar_covt_think_rate": 1.0, + "eval/vstar_direct_attributes_accuracy": 0.991304347826087, + "eval/vstar_direct_attributes_samples": 115.0, + "eval/vstar_errors": 0.0, + "eval/vstar_parse_rate": 1.0, + "eval/vstar_relative_position_accuracy": 0.8026315789473685, + "eval/vstar_relative_position_samples": 76.0, + "eval/vstar_samples": 191.0, + "eval/vstar_seconds": 207.09136911807582, + "eval/vstar_task_direct_attributes_accuracy": 0.991304347826087, + "eval/vstar_task_macro_accuracy": 0.8969679633867278, + "eval/vstar_task_relative_position_accuracy": 0.8026315789473685 + } +} diff --git a/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/rank_00.jsonl b/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/rank_00.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..73b730a7d2279d52ed413097f8736658763bc576 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/rank_00.jsonl @@ -0,0 +1,24 @@ +{"sample_id": "0", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 0, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "8", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 8, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "16", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 16, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "24", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 24, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "32", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 32, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "40", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 40, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "48", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 48, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "56", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 56, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "64", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 64, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "72", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 72, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "80", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 80, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "88", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 88, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "96", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 96, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "104", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 104, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "112", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 112, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "120", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 120, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "128", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 128, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "136", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 136, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "144", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 144, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "152", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 152, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "160", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 160, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "168", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 168, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "176", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 176, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "184", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 184, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/rank_01.jsonl b/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/rank_01.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c781496b2cdfb4d43a0c21170a74e69a4e1209bf --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/rank_01.jsonl @@ -0,0 +1,24 @@ +{"sample_id": "1", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 1, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "9", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 9, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "17", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 17, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "25", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 25, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "33", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 33, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "41", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 41, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "49", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 49, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "57", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 57, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "65", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 65, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "73", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 73, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "81", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 81, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "89", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 89, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "97", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 97, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "105", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 105, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "113", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 113, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "121", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 121, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "129", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 129, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "137", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 137, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "145", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 145, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "153", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 153, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "161", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 161, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "169", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 169, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "177", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 177, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "185", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 185, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/rank_02.jsonl b/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/rank_02.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ae4ae56bf59f1f87121c8975a5b8ac854f35b230 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/rank_02.jsonl @@ -0,0 +1,24 @@ +{"sample_id": "2", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 2, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "10", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 10, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "18", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 18, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "26", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 26, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "34", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 34, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "42", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 42, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "50", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 50, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "58", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 58, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "66", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 66, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "74", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 74, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "82", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 82, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "90", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 90, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "98", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 98, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "106", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 106, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "114", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 114, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "122", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 122, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "130", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 130, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "138", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 138, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "146", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 146, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "154", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 154, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "162", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 162, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "170", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 170, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "178", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 178, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "186", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 186, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/rank_03.jsonl b/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/rank_03.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..74ef649ce244a49ab6d8b8e08c9e28aa52cd49de --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/rank_03.jsonl @@ -0,0 +1,24 @@ +{"sample_id": "3", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 3, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "11", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 11, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "19", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 19, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "27", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 27, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "35", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 35, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "43", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 43, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "51", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 51, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "59", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 59, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "67", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 67, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "75", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 75, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "83", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 83, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "91", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 91, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "99", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 99, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "107", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 107, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "115", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 115, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "123", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 123, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "131", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 131, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "139", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 139, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "147", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 147, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "155", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 155, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "163", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 163, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "171", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 171, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "179", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 179, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "187", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 187, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/rank_04.jsonl b/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/rank_04.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..75e61d0adb8825d474511174f4b892ff8bbb1e96 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/rank_04.jsonl @@ -0,0 +1,24 @@ +{"sample_id": "4", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 4, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "12", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 12, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "20", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 20, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "28", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 28, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "36", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 36, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "44", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 44, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "52", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 52, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "60", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 60, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "68", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 68, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "76", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 76, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "84", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 84, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "92", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 92, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "100", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 100, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "108", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 108, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "116", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 116, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "124", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 124, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "132", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 132, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "140", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 140, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "148", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 148, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "156", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 156, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "164", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 164, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "172", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 172, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "180", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 180, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "188", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 188, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/rank_05.jsonl b/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/rank_05.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..db99e0eacb231038bc7ee7120ddc36174fbf6ed6 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/rank_05.jsonl @@ -0,0 +1,24 @@ +{"sample_id": "5", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 5, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "13", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 13, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "21", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 21, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "29", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 29, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "37", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 37, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "45", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 45, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "53", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 53, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "61", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 61, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "69", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 69, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "77", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 77, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "85", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 85, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "93", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 93, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "101", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 101, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "109", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 109, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "117", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 117, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "125", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 125, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "133", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 133, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "141", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 141, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "149", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 149, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "157", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 157, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "165", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 165, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "173", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 173, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "181", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 181, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "189", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 189, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/rank_06.jsonl b/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/rank_06.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..01d8e85609a08d97cde501dab6b5b2a4266f98d3 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/rank_06.jsonl @@ -0,0 +1,24 @@ +{"sample_id": "6", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 6, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "14", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 14, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "22", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 22, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "30", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 30, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "38", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 38, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "46", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 46, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "54", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 54, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "62", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 62, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "70", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 70, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "78", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 78, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "86", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 86, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "94", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 94, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "102", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 102, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "110", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 110, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "118", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 118, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "126", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 126, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "134", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 134, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "142", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 142, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "150", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 150, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "158", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 158, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "166", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 166, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "174", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 174, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "182", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 182, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "190", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 190, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/rank_07.jsonl b/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/rank_07.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3d2124cc7ab7595548575c00d334ee4a5f8f71c7 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/rank_07.jsonl @@ -0,0 +1,23 @@ +{"sample_id": "7", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 7, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "15", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 15, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "23", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 23, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "31", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 31, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "39", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 39, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "47", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 47, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "55", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 55, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "63", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 63, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "71", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 71, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "79", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 79, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "87", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 87, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "95", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 95, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "103", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 103, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "111", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 111, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "119", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 119, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "127", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 127, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "135", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 135, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "143", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 143, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "151", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 151, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "159", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 159, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "167", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 167, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "175", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 175, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "183", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 183, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/results.jsonl b/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dfe274cc250236f3477e6b18e06252da39b4a671 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/results.jsonl @@ -0,0 +1,191 @@ +{"sample_id": "0", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 0, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "1", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 1, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 2, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 3, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "4", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 4, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "5", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 5, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "6", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 6, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "7", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 7, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "8", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 8, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "9", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 9, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "10", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 10, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "11", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 11, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "12", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 12, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "13", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 13, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "14", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 14, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "15", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 15, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "16", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 16, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "17", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 17, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "18", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 18, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "19", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 19, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "20", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 20, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "21", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 21, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "22", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 22, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "23", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 23, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "24", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 24, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "25", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 25, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "26", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 26, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "27", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 27, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "28", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 28, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "29", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 29, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "30", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 30, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "31", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 31, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "32", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 32, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "33", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 33, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "34", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 34, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "35", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 35, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "36", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 36, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "37", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 37, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "38", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 38, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "39", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 39, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "40", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 40, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "41", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 41, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "42", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 42, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "43", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 43, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "44", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 44, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "45", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 45, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "46", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 46, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "47", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 47, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "48", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 48, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "49", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 49, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "50", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 50, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "51", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 51, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "52", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 52, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "53", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 53, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "54", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 54, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "55", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 55, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "56", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 56, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "57", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 57, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "58", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 58, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "59", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 59, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "60", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 60, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "61", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 61, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "62", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 62, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "63", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 63, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "64", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 64, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "65", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 65, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "66", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 66, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "67", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 67, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "68", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 68, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "69", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 69, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "70", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 70, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "71", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 71, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "72", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 72, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "73", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 73, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "74", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 74, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "75", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 75, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "76", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 76, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "77", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 77, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "78", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 78, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "79", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 79, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "80", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 80, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "81", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 81, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "82", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 82, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "83", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 83, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "84", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 84, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "85", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 85, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "86", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 86, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "87", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 87, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "88", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 88, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "89", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 89, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "90", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 90, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "91", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 91, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "92", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 92, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "93", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 93, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "94", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 94, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "95", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 95, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "96", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 96, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "97", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 97, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "98", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 98, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "99", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 99, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "100", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 100, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "101", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 101, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "102", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 102, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "103", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 103, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "104", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 104, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "105", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 105, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "106", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 106, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "107", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 107, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "108", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 108, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "109", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 109, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "110", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 110, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "111", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 111, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "112", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 112, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "113", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 113, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "114", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 114, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "115", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 115, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "116", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 116, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "117", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 117, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "118", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 118, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "119", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 119, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "120", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 120, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "121", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 121, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "122", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 122, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "123", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 123, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "124", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 124, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "125", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 125, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "126", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 126, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "127", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 127, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "128", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 128, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "129", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 129, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "130", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 130, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "131", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 131, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "132", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 132, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "133", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 133, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "134", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 134, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "135", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 135, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "136", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 136, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "137", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 137, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "138", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 138, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "139", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 139, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "140", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 140, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "141", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 141, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "142", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 142, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "143", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 143, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "144", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 144, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "145", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 145, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "146", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 146, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "147", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 147, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "148", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 148, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "149", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 149, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "150", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 150, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "151", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 151, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "152", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 152, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "153", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 153, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "154", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 154, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "155", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 155, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "156", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 156, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "157", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 157, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "158", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 158, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "159", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 159, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "160", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 160, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "161", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 161, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "162", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 162, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "163", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 163, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "164", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 164, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "165", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 165, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "166", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 166, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "167", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 167, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "168", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 168, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "169", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 169, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "170", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 170, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "171", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 171, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "172", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 172, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "173", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 173, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "174", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 174, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "175", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 175, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "176", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 176, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "177", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 177, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "178", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 178, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "179", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 179, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "180", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 180, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "181", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 181, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "182", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 182, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "183", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 183, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "184", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 184, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "185", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 185, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "186", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 186, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "187", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 187, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "188", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 188, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "189", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 189, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "190", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 190, "image_count": 1, "eval_image_mode": "vstar_oracle_crop", "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/swanlab.json b/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/swanlab.json new file mode 100644 index 0000000000000000000000000000000000000000..010732bf7f962445769e70da5df8413d608f3b81 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_diagnosis/oracle_crop_fixed448/swanlab.json @@ -0,0 +1,3 @@ +{ + "enabled": false +} diff --git a/reports/evaluations/checkpoint-7000/vstar_diagnosis/report_build.log b/reports/evaluations/checkpoint-7000/vstar_diagnosis/report_build.log new file mode 100644 index 0000000000000000000000000000000000000000..00fec5301aeed5bfb37c437d83e03bd78317db78 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_diagnosis/report_build.log @@ -0,0 +1 @@ +{"ok":true,"html":"/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis/VSTAR_ROOT_CAUSE_REPORT.html","stages":{"validation":"passed","package":"passed","verification":"structural_only"},"browserWarning":{"code":"browser_unavailable","message":"No installed Chromium headless-shell executable was found. Set CHROMIUM_EXECUTABLE_PATH (or the legacy PLAYWRIGHT_EXECUTABLE_PATH) or preinstall Chromium headless-shell under PLAYWRIGHT_BROWSERS_PATH; portable tooling never downloads browsers."},"counts":{"blocks":10,"charts":1,"html":0,"metrics":0,"tables":0},"sourceDialog":"not_verified","sourceInteraction":"not_verified","viewports":[],"timings":{"validateAndPackageMs":111.7,"staticChartExtractionMs":3.6,"structuralVerificationMs":4.5,"totalMs":117.1}} diff --git a/reports/evaluations/checkpoint-7000/vstar_diagnosis/run.log b/reports/evaluations/checkpoint-7000/vstar_diagnosis/run.log new file mode 100644 index 0000000000000000000000000000000000000000..050a741a3157d14d197a373c75a8295576c7a7d2 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_diagnosis/run.log @@ -0,0 +1,1710 @@ +{ + "image_and_target_scale": { + "accuracy_by_image_megapixels": { + "(2, 3]": { + "accuracy": 0.5625, + "correct": 9, + "samples": 16, + "wilson_95ci": [ + 0.331785563988119, + 0.7690134759450765 + ] + 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"/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_40188.jpg", + "image_width": 2258, + "mapping_valid": true, + "max_center_distance": 0.33478528300961957, + "min_projected_area_448": 22.517720696781815, + "min_projected_side_448": 3.7697077059344553, + "min_target_area_fraction": 0.00011219368172423974, + "oracle_correct": true, + "oracle_error": null, + "oracle_predicted": "B", + "predicted": "A", + "predicted_choice": "left", + "question": "Is the soccer ball on the left or right side of the water dispenser?", + "question_type": "relative_position", + "sample_id": "132", + "target_count": 2, + "target_objects": "soccer ball | water dispenser" + }, + { + "choice_count": 4, + "config": "direct_attributes", + "correct": false, + "dynamic_correct": true, + "dynamic_error": null, + "dynamic_predicted": "A", + "error": null, + "expected": "A", + "expected_choice": "polychromatic", + "image_height": 1500, + "image_megapixels": 3.375, + "image_path": "/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_33492.jpg", + "image_width": 2250, + "mapping_valid": true, + "max_center_distance": 1.0877264770561066, + "min_projected_area_448": 28.247229629629633, + "min_projected_side_448": 3.783111111111111, + "min_target_area_fraction": 0.00014074074074074073, + "oracle_correct": true, + "oracle_error": null, + "oracle_predicted": "A", + "predicted": "B", + "predicted_choice": "red", + "question": "What is the color of the Apple logo?", + "question_type": "color", + "sample_id": "7", + "target_count": 1, + "target_objects": "Apple logo" + }, + { + "choice_count": 4, + "config": "direct_attributes", + "correct": false, + "dynamic_correct": false, + "dynamic_error": null, + "dynamic_predicted": "C", + "error": null, + "expected": "A", + "expected_choice": "green", + "image_height": 1500, + "image_megapixels": 3.375, + "image_path": "/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_39678.jpg", + "image_width": 2250, + "mapping_valid": true, + "max_center_distance": 0.41235373763101946, + "min_projected_area_448": 21.46789451851852, + "min_projected_side_448": 3.783111111111111, + "min_target_area_fraction": 0.00010696296296296296, + "oracle_correct": true, + "oracle_error": null, + "oracle_predicted": "A", + "predicted": "C", + "predicted_choice": "red", + "question": "What is the color of the helmet?", + "question_type": "color", + "sample_id": "34", + "target_count": 1, + "target_objects": "helmet" + }, + { + "choice_count": 2, + "config": "relative_position", + "correct": false, + "dynamic_correct": true, + "dynamic_error": null, + "dynamic_predicted": "B", + "error": null, + "expected": "B", + "expected_choice": "right", + "image_height": 1500, + "image_megapixels": 3.375, + "image_path": "/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_24031.jpg", + "image_width": 2250, + "mapping_valid": true, + "max_center_distance": 0.6541541706756486, + "min_projected_area_448": 39.546121481481485, + "min_projected_side_448": 3.783111111111111, + "min_target_area_fraction": 0.00019703703703703704, + "oracle_correct": true, + "oracle_error": null, + "oracle_predicted": "B", + "predicted": "A", + "predicted_choice": "left", + "question": "Is the dog on the left or right side of the river?", + "question_type": "relative_position", + "sample_id": "136", + "target_count": 1, + "target_objects": "dog" + }, + { + "choice_count": 4, + "config": "direct_attributes", + "correct": false, + "dynamic_correct": true, + "dynamic_error": null, + "dynamic_predicted": "A", + "error": null, + "expected": "A", + "expected_choice": "white", + "image_height": 1500, + "image_megapixels": 4.0005, + "image_path": "/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_42585.jpg", + "image_width": 2667, + "mapping_valid": true, + "max_center_distance": 0.7905614437401765, + "min_projected_area_448": 33.46320909886264, + "min_projected_side_448": 3.863517060367454, + "min_target_area_fraction": 0.0001667291588551431, + "oracle_correct": true, + "oracle_error": null, + "oracle_predicted": "A", + "predicted": "D", + "predicted_choice": "red", + "question": "What is the color of the helmet?", + "question_type": "color", + "sample_id": "93", + "target_count": 1, + "target_objects": "helmet" + } + ] +} diff --git a/reports/evaluations/checkpoint-7000/vstar_diagnosis/sample_diagnostics.csv b/reports/evaluations/checkpoint-7000/vstar_diagnosis/sample_diagnostics.csv new file mode 100644 index 0000000000000000000000000000000000000000..1f0dedaf47ff22a3ce78e6c8531512f16e9b620d --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_diagnosis/sample_diagnostics.csv @@ -0,0 +1,192 @@ +sample_id,config,question_type,question,image_path,image_width,image_height,image_megapixels,target_count,target_objects,min_target_area_fraction,min_projected_side_448,min_projected_area_448,max_center_distance,choice_count,expected,expected_choice,predicted,predicted_choice,correct,mapping_valid,error,dynamic_predicted,dynamic_correct,dynamic_error,oracle_predicted,oracle_correct,oracle_error +0,direct_attributes,material,What is the material of the glove?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_4690.jpg,2000,1500,3.0,1,glove,0.008111666666666666,34.72,1628.0439466666667,0.7918069524827374,4,A,rubber,A,rubber,True,True,,A,True,,A,True, +1,direct_attributes,color,What is the color of the dustpan?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_86101.jpg,2250,1500,3.375,1,dustpan,0.0021733333333333335,8.959999999999999,436.1966933333333,0.5666011726857693,4,C,blue,D,white,False,True,,C,True,,C,True, +2,direct_attributes,object_kind,What kind of animal is in the poster?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_10997.jpg,2247,1500,3.3705,1,poster,0.003248776145972408,14.554517133956386,652.0423676012462,0.4674213204817636,4,A,dove,A,dove,True,True,,A,True,,A,True, +3,direct_attributes,color,What is the color of the woman's scarf?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_40973.jpg,2250,1500,3.375,1,woman's scarf,0.000248,6.172444444444444,49.774592,0.6396961084070396,4,B,red,B,red,True,True,,B,True,,B,True, +4,direct_attributes,other_attribute,What is the pose of the woman with yellow backpack?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_33579.jpg,2250,1500,3.375,1,woman with yellow backpack,0.004533333333333334,19.91111111111111,909.8581333333334,0.5499748591335901,4,C,squatting,A,walking,False,True,,A,False,,C,True, +5,direct_attributes,color,What is the color of the cart?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_3568.jpg,2250,1500,3.375,1,cart,0.003160888888888889,25.088,634.4030435555555,0.5523130262924691,4,D,green,C,black,False,True,,D,True,,D,True, +6,direct_attributes,color,What is the color of the candles?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_9019.jpg,1998,1500,2.997,1,candles,0.003643643643643644,15.695695695695695,731.293853853854,0.6684585819710489,4,B,yellow,B,yellow,True,True,,B,True,,B,True, +7,direct_attributes,color,What is the color of the Apple logo?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_33492.jpg,2250,1500,3.375,1,Apple logo,0.00014074074074074073,3.783111111111111,28.247229629629633,1.0877264770561066,4,A,polychromatic,B,red,False,True,,A,True,,A,True, +8,direct_attributes,color,What is the color of the plastic stool?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_44097.jpg,2500,1500,3.75,1,plastic stool,0.00054,8.064,108.38016000000002,0.8951792471033074,4,B,blue,B,blue,True,True,,B,True,,B,True, +9,direct_attributes,color,What is the color of the tissue box?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_39518.jpg,2250,1500,3.375,1,tissue box,0.0006358518518518519,11.050666666666668,127.61801007407408,0.29177574679838125,4,D,blue,B,white,False,True,,D,True,,D,True, +10,direct_attributes,color,What is the color of the man's helmet?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_7428.jpg,2023,1500,3.0345,1,man's helmet,0.00011072664359861591,4.650519031141869,22.223280276816613,0.35645339018473715,4,C,yellow,C,yellow,True,True,,C,True,,C,True, +11,direct_attributes,color,What is the color of the woman's shirt?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_5413.jpg,2018,1500,3.027,1,woman's shirt,0.000535183349851338,7.99207135777998,107.41343904856294,0.8212358063393504,4,B,purple,B,purple,True,True,,B,True,,B,True, +12,direct_attributes,color,What is the color of the slippers?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_4460.jpg,2251,1500,3.3765,1,slippers,0.0016158744261809566,17.51399378054198,324.3124608322227,0.2215572518811731,4,C,blue,C,blue,True,True,,C,True,,C,True, +13,direct_attributes,color,What is the color of the cart?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_50442.jpg,2250,1500,3.375,1,cart,0.0010808888888888888,11.349333333333332,216.93872355555555,0.7685288816793476,4,A,green,A,green,True,True,,A,True,,A,True, +14,direct_attributes,other_attribute,What is the cartoon character on the clock.,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_37675.jpg,1500,2269,3.4035,1,clock,0.008968708682238872,32.57822829440282,1800.0557073600705,0.5920454658763407,4,B,Mickey Mouse,B,Mickey Mouse,True,True,,B,True,,B,True, +15,direct_attributes,color,What is the color of the suitcase?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_24546.jpg,2249,1500,3.3735,1,suitcase,0.0003038387431451015,7.466666666666668,60.98165110419447,0.6756171874069041,4,D,brown,C,black,False,True,,C,False,,D,True, +16,direct_attributes,color,What is the color of the little girl's shirt?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_17.jpg,1933,1500,2.8995,1,little girl's shirt,0.00029936195895844113,6.489394723228143,60.083142610794965,0.9563792685607706,4,B,pink,B,pink,True,True,,B,True,,B,True, +17,direct_attributes,color,What is the color of the bicycle?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_9230.jpg,2250,1500,3.375,1,bicycle,0.0028065185185185185,22.101333333333336,563.2794927407408,0.5245273004228559,4,D,red,A,blue,False,True,,D,True,,D,True, +18,direct_attributes,material,What is the material of the stool?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_9611.jpg,2169,1500,3.2535,1,stool,0.00227293683725219,17.55647763946519,456.18751498386354,0.44589229506284905,4,C,plastic,D,wood,False,True,,C,True,,C,True, +19,direct_attributes,color,What is the color of the bucket?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_50451.jpg,2250,1500,3.375,1,bucket,0.0005997037037037037,9.15911111111111,120.36293214814815,0.6412438530016064,4,A,white,A,white,True,True,,A,True,,A,True, +20,direct_attributes,color,What is the color of the shovel?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_65370.jpg,2250,1500,3.375,1,shovel,7.407407407407407e-05,1.991111111111111,14.866962962962965,0.6963476143421473,4,C,blue,D,black,False,True,,C,True,,C,True, +21,direct_attributes,object_kind,What kind of animal is on the blue sail?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_47397.jpg,2901,1413,4.099113,1,blue sail,0.0024754135833776722,11.2733540158566,496.8254078382323,0.4985512650935899,4,A,spider,D,bird,False,True,,A,True,,A,True, +22,direct_attributes,color,What is the color of the SUV car?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_10919.jpg,1500,2246,3.369,1,SUV car,0.0005983971504897596,6.382902938557436,120.10070169189673,0.9746200533709409,4,C,silver,A,black,False,True,,C,True,,C,True, +23,direct_attributes,color,What is the color of the pink-haired woman's handbag?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_26968.jpg,2000,1500,3.0,1,pink-haired woman,0.0006906666666666667,6.272,138.6195626666667,0.4880696671582858,4,B,white,C,red,False,True,,C,False,,B,True, +24,direct_attributes,color,What is the color of the car?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_38155.jpg,2248,1500,3.372,1,car,0.001269276393831554,11.946666666666667,254.7488493475682,0.7558405456692793,4,B,black,A,white,False,True,,B,True,,B,True, +25,direct_attributes,color,What is the color of the bicycle?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_28073.jpg,2250,1500,3.375,1,bicycle,0.0004,8.959999999999999,80.2816,0.7342089049101644,4,D,yellow,C,white,False,True,,A,False,,D,True, +26,direct_attributes,color,What is the color of the parachute?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_5387.jpg,2250,1500,3.375,1,parachute,0.0006281481481481482,7.964444444444444,126.07184592592593,0.8744640969131456,4,B,yellow,B,yellow,True,True,,B,True,,B,True, +27,direct_attributes,color,What is the color of the motorcycle?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_23893.jpg,2000,1500,3.0,1,motorcycle,0.0008893333333333333,10.304,178.49275733333334,0.8761877652649573,4,B,orange,D,black,False,True,,B,True,,B,True, +28,direct_attributes,color,What is the color of the woman's jacket?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_7018.jpg,1500,2031,3.0465,1,woman's jacket,0.0003860167405219104,8.362666666666668,77.4751038897095,0.7828329714254403,4,C,blue,C,blue,True,True,,C,True,,C,True, +29,direct_attributes,color,What is the color of the man's cap?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_6965.jpg,1500,2000,3.0,1,man's cap,6.966666666666666e-05,2.464,13.982378666666667,0.26538405084790684,4,B,red,A,white,False,True,,B,True,,B,True, +30,direct_attributes,color,What is the color of the pet collar?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_52155.jpg,2250,1500,3.375,1,pet collar,0.0004168888888888889,4.181333333333333,83.67126755555556,0.3517836737064694,4,A,purple,B,red,False,True,,A,True,,A,True, +31,direct_attributes,color,What is the color of the telephone?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_30034.jpg,2250,1500,3.375,1,telephone,0.0002074074074074074,4.977777777777778,41.6274962962963,0.5289017738859959,4,C,orange,B,white,False,True,,B,False,,C,True, +32,direct_attributes,color,What is the color of the water bottle?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_5674.jpg,2250,1500,3.375,1,water bottle,0.0005238518518518518,5.176888888888889,105.13916207407408,0.9568000165159584,4,B,red,A,black,False,True,,B,True,,B,True, +33,direct_attributes,color,What is the color of the man's cap?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_5346.jpg,1690,1500,2.535,1,man's cap,0.00031242603550295857,5.376,62.705155029585804,0.43162689838760926,4,C,gray,C,gray,True,True,,C,True,,C,True, +34,direct_attributes,color,What is the color of the helmet?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_39678.jpg,2250,1500,3.375,1,helmet,0.00010696296296296296,3.783111111111111,21.46789451851852,0.41235373763101946,4,A,green,C,red,False,True,,C,False,,A,True, +35,direct_attributes,color,What is the color of the woman's bikini?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_11528.jpg,1500,2259,3.3885,1,woman's bikini,0.00017943042644237862,5.674666666666667,36.01240430869117,0.7819169844954144,4,C,black,B,red,False,True,,C,True,,C,True, +36,direct_attributes,color,What is the color of the flower?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_4988.jpg,2250,1500,3.375,1,flower,0.0006844444444444444,9.856000000000002,137.3707377777778,0.5106986258252054,4,D,white,C,red,False,True,,D,True,,D,True, +37,direct_attributes,color,What is the color of the clock?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_16306.jpg,2254,1500,3.381,1,clock,0.0003774031351671103,8.661333333333333,75.7463188405797,0.26959688583275637,4,C,green,A,black,False,True,,A,False,,C,True, +38,direct_attributes,color,Is the color of the motorcycle orange or green?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_6422.jpg,2250,1500,3.375,1,motorcycle,0.003261925925925926,21.70311111111111,654.6815810370371,0.5895892271659342,2,B,orange,B,orange,True,True,,B,True,,B,True, +39,direct_attributes,color,What is the color of the bag?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_56573.jpg,2250,1500,3.375,1,bag,0.0002311111111111111,3.982222222222222,46.38492444444445,0.5445622094857482,4,C,purple,B,black,False,True,,C,True,,C,True, +40,direct_attributes,color,Is the color of the motorcycle red or blue?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_4658.jpg,2250,1500,3.375,1,motorcycle,0.0026962962962962965,19.91111111111111,541.1574518518519,1.03719053096857,2,B,blue,B,blue,True,True,,B,True,,B,True, +41,direct_attributes,color,What is the color of the man's cap?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_13337.jpg,1500,2250,3.375,1,man's cap,7.881481481481482e-05,2.7875555555555556,15.818448592592594,0.3500739251735549,4,C,black,C,black,True,True,,C,True,,C,True, +42,direct_attributes,color,What is the color of the van?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_10204.jpg,2250,1500,3.375,1,van,0.0005499259259259259,8.661333333333333,110.37233303703704,0.6210331893081257,4,A,red,A,red,True,True,,A,True,,A,True, +43,direct_attributes,color,What is the color of the car?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_43391.jpg,4031,1500,6.0465,1,car,0.0008930786405358472,12.002976928801786,179.2444554701067,0.857768813245266,4,B,white,B,white,True,True,,B,True,,B,True, +44,direct_attributes,color,What is the color of the toothbrush?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_65476.jpg,3000,1500,4.5,1,toothbrush,8.888888888888889e-05,2.3893333333333335,17.840355555555558,0.8183400542833307,4,D,red,D,red,True,True,,C,False,,D,True, +45,direct_attributes,color,What is the color of the handbag?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_42562.jpg,2250,1500,3.375,1,handbag,0.00029037037037037036,3.982222222222222,58.27849481481482,0.6257355178281035,4,D,white,B,black,False,True,,B,False,,D,True, +46,direct_attributes,color,What is the color of the man's cap?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_30411.jpg,2258,1500,3.387,1,man's cap,3.9858281665190436e-05,2.688,7.999716563330382,0.9934620321384409,4,A,white,A,white,True,True,,A,True,,A,True, +47,direct_attributes,color,What is the color of the fire hydrant?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_10415.jpg,2250,1500,3.375,1,fire hydrant,0.0002802962962962963,4.380444444444445,56.25658785185186,0.9477927835206529,4,A,yellow,C,red,False,True,,A,True,,A,True, +48,direct_attributes,color,What is the color of the seesaw?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_79105.jpg,2250,1500,3.375,1,seesaw,0.005685333333333333,23.296000000000003,1141.0691413333334,0.43191791629863324,4,B,red,B,red,True,True,,B,True,,B,True, +49,direct_attributes,color,What is the color of the plastic stool?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_29744.jpg,2250,1500,3.375,1,plastic stool,0.00014933333333333332,4.778666666666666,29.97179733333333,0.5660785183072123,4,C,white,A,black,False,True,,C,True,,C,True, +50,direct_attributes,color,What is the color of the motorcycle helmet?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_80352.jpg,2250,1500,3.375,1,motorcycle helmet,0.0002488888888888889,5.973333333333333,49.95299555555555,0.8736662074129391,4,A,white,D,black,False,True,,A,True,,A,True, +51,direct_attributes,color,What is the color of the helmet?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_25212.jpg,2241,1500,3.3615,1,helmet,1.9039119440725866e-05,1.5992860330209728,3.821227428231445,0.6751020472135971,4,A,red,A,red,True,True,,A,True,,A,True, +52,direct_attributes,color,What is the color of the luggage?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_19483.jpg,2226,1500,3.339,1,luggage,0.006920634920634921,21.937106918238996,1388.9991111111112,0.6675816849812829,4,A,red,A,red,True,True,,A,True,,A,True, +53,direct_attributes,color,What is the color of the trash can?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_7081.jpg,2250,1500,3.375,1,trash can,0.0009973333333333334,10.154666666666666,200.16878933333334,0.40146349556541866,4,C,green,C,green,True,True,,C,True,,C,True, +54,direct_attributes,color,What is the color of the scooter?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_35748.jpg,2249,1500,3.3735,1,scooter,0.0007698236253149548,10.557581147176522,154.5066808952127,0.6214732163569714,4,A,orange,C,black,False,True,,A,True,,A,True, +55,direct_attributes,color,What is the color of the dress?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_59482.jpg,2250,1500,3.375,1,dress,0.0008162962962962963,5.774222222222222,163.83393185185184,0.6637954838988017,4,D,red,A,white,False,True,,D,True,,D,True, +56,direct_attributes,color,What is the color of the cyclist's box?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_25835.jpg,2250,1500,3.375,1,cyclist,0.0005878518518518519,6.371555555555555,117.98421807407406,0.6808830867173731,4,A,green,A,green,True,True,,A,True,,A,True, +57,direct_attributes,color,What is the color of the bicycle?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_30179.jpg,2250,1500,3.375,1,bicycle,0.0005588148148148148,9.15911111111111,112.1563685925926,0.8596105061143808,4,C,red,D,black,False,True,,D,False,,C,True, +58,direct_attributes,color,What is the color of the flag?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_25219.jpg,2000,1500,3.0,1,flag,0.000279,6.048,55.996416,0.8435500544985131,4,B,blue and yellow,B,blue and yellow,True,True,,B,True,,B,True, +59,direct_attributes,color,What is the color of the cyclist's bag?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_38195.jpg,2249,1500,3.3735,1,cyclist,0.0009129983696457685,8.764784348599377,183.24242478138436,0.6622398949446693,4,A,orange and black,C,red and blue,False,True,,C,False,,A,True, +60,direct_attributes,other_attribute,What is the breed of the dog?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_20519.jpg,2265,1500,3.3975,1,dog,0.0007231788079470198,11.648000000000001,145.1448794701987,0.7981064961103054,4,D,golden retriever,C,Dalmatian,False,True,,D,True,,D,True, +61,direct_attributes,color,What is the color of the dog?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_717.jpg,2250,1500,3.375,1,dog,0.0010482962962962963,12.145777777777777,210.39725985185183,0.4417254607966914,4,A,white,B,brown,False,True,,A,True,,A,True, +62,direct_attributes,color,What is the color of the motorcycle?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_66699.jpg,5759,1440,8.29296,1,motorcycle,0.0002373097181223592,3.7339815940267407,47.62900966602999,0.8453042352550129,4,D,black,D,black,True,True,,D,True,,D,True, +63,direct_attributes,color,What is the color of the car?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_4020.jpg,1500,2218,3.327,1,car,0.0023504658851818453,13.734896302975654,471.7479050195372,0.8396814744669354,4,D,silver,D,silver,True,True,,D,True,,D,True, +64,direct_attributes,other_attribute,Does the kid have curly hair or straight hair?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_10225.jpg,1500,1827,2.7405,1,kid,0.004364167122787812,19.413333333333334,875.905798212005,0.9341987108914386,2,A,curly hair,A,curly hair,True,True,,A,True,,A,True, +65,direct_attributes,color,What is the color of the broom?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_80880.jpg,2250,1500,3.375,1,broom,0.011974814814814815,27.278222222222222,2403.3932325925925,0.733282052079031,4,A,black,A,black,True,True,,A,True,,A,True, +66,direct_attributes,color,What is the color of the body of the bucket?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_84131.jpg,2250,1500,3.375,1,bucket,0.0005662222222222222,7.7653333333333325,113.64306488888889,0.2605397057486727,4,B,white,B,white,True,True,,B,True,,B,True, +67,direct_attributes,color,What is the color of the scarf?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_30935.jpg,2250,1500,3.375,1,scarf,0.00037037037037037035,7.466666666666668,74.33481481481482,0.009261629326299842,4,B,green,C,white,False,True,,B,True,,B,True, +68,direct_attributes,other_attribute,Is the flag red or white?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_10033.jpg,2250,1500,3.375,1,flag,0.000696,5.774222222222222,139.689984,0.47962027160897996,2,A,white,A,white,True,True,,A,True,,A,True, +69,direct_attributes,other_attribute,How many people are in the oil painting?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_10720.jpg,2330,1500,3.495,1,oil painting,0.0026529327610872676,14.612875536480688,532.4542168812591,0.5373535117905661,4,C,2 people,B,0 people,False,True,,C,True,,C,True, +70,direct_attributes,color,What is the color of the dog?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_38610.jpg,2250,1500,3.375,1,dog,0.00015466666666666667,5.376,31.042218666666667,0.16454111272802857,4,B,black,B,black,True,True,,B,True,,B,True, +71,direct_attributes,color,What is the color of the paraglider?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_10701.jpg,1500,2250,3.375,1,paraglider,0.0002,5.3759999999999994,40.1408,0.6171634435458591,4,B,blue,D,red,False,True,,B,True,,B,True, +72,direct_attributes,color,What is the color of the woman's dress?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_19272.jpg,2000,1500,3.0,1,woman's dress,0.000494,5.824,99.14777600000001,0.9731509532327334,4,C,black,B,red,False,True,,D,False,,C,True, +73,direct_attributes,color,What is the color of the cleaning cloth?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_7347.jpg,1827,1500,2.7405,1,cleaning cloth,0.004374384236453202,26.482758620689655,877.9564137931035,0.46114425197660935,4,B,red,C,white,False,True,,B,True,,B,True, +74,direct_attributes,color,What is the color of the umbrella?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_64897.jpg,2254,1500,3.381,1,umbrella,0.0002981366459627329,7.155279503105589,59.83721739130435,0.7146477725198569,4,A,purple,C,blue,False,True,,A,True,,A,True, +75,direct_attributes,color,What is the color of the backpack?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_28392.jpg,2250,1500,3.375,1,backpack,0.000306962962962963,7.367111111111111,61.608694518518526,1.0983474005730969,4,A,gray,B,white,False,True,,A,True,,A,True, +76,direct_attributes,color,What is the color of the umbrella?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_60786.jpg,1500,2241,3.3615,1,umbrella,0.00014368585452922804,4.198125836680053,28.83832574743418,0.5385519677610463,4,D,purple,C,black,False,True,,D,True,,D,True, +77,direct_attributes,color,What is the color of the baby carriage?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_63876.jpg,1500,2000,3.0,1,baby carriage,0.000918,11.424,184.246272,0.11467647729349048,4,C,black,A,red,False,True,,C,True,,C,True, +78,direct_attributes,color,What is the color of the watch?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_16854.jpg,2250,1500,3.375,1,watch,0.00012444444444444444,2.7875555555555556,24.97649777777778,0.5923842596753488,4,C,white,B,silver,False,True,,B,False,,C,True, +79,direct_attributes,color,Is the color of the bus red or yellow?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_7065.jpg,2250,1500,3.375,1,bus,0.0015860740740740742,15.829333333333334,318.33141096296293,0.2395911125951209,2,B,red,B,red,True,True,,B,True,,B,True, +80,direct_attributes,color,What is the color of the flute?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_55722.jpg,2248,1500,3.372,1,flute,0.0009839857651245552,12.544,197.4898790035587,0.6711401130289208,4,A,black,B,white,False,True,,A,True,,A,True, +81,direct_attributes,color,What is the color of the flag?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_26085.jpg,2250,1500,3.375,1,flag,0.0005451851851851852,7.964444444444444,109.42084740740741,0.9118119797522695,4,A,red,D,blue,False,True,,A,True,,A,True, +82,direct_attributes,color,What is the color of the soda can?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_66657.jpg,2247,1500,3.3705,1,soda can,2.848242100578549e-05,1.5950155763239875,5.716535825545172,1.1059137595005883,4,D,green,A,silver,False,True,,D,True,,D,True, +83,direct_attributes,color,What is the color of the handbag?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_31511.jpg,2505,1500,3.7575,1,handbag,0.00016766467065868263,3.219161676646707,33.650970059880244,0.9050360601425153,4,D,yellow,C,black,False,True,,D,True,,D,True, +84,direct_attributes,color,What is the color of the straw?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_68625.jpg,2250,1500,3.375,1,straw,0.00021333333333333333,2.9866666666666664,42.816853333333334,0.6140306824681856,4,A,black,A,black,True,True,,A,True,,A,True, +85,direct_attributes,color,What is the color of the bus?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_34040.jpg,1500,2250,3.375,1,bus,0.0019392592592592593,10.95111111111111,389.2170903703704,0.10823226054288161,4,D,white,D,white,True,True,,D,True,,D,True, +86,direct_attributes,color,What is the color of the trash can?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_29509.jpg,2264,1500,3.396,1,trash can,5.594817432273263e-05,1.978798586572438,11.229022379269729,0.9006185792045068,4,A,black,A,black,True,True,,A,True,,A,True, +87,direct_attributes,color,What is the color of the guard's glove?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_41908.jpg,2250,1500,3.375,1,guard's glove,8.888888888888889e-05,2.9866666666666664,17.840355555555554,0.9941682794684381,4,B,white,A,black,False,True,,B,True,,B,True, +88,direct_attributes,color,What is the color of the comb?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_7429.jpg,2254,1500,3.381,1,comb,0.0028955930198166224,16.42666666666667,581.1571014492754,0.424393995287491,4,C,purple,C,purple,True,True,,C,True,,C,True, +89,direct_attributes,color,What is the color of the electric rickshaw?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_55332.jpg,1500,2250,3.375,1,electric rickshaw,0.00068,8.959999999999999,136.47872,1.08026528520533,4,D,yellow,D,yellow,True,True,,D,True,,D,True, +90,direct_attributes,color,What is the color of the truck?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_17108.jpg,2250,1500,3.375,1,truck,0.0029902222222222222,17.322666666666667,600.1495608888889,0.469123269488211,4,C,yellow,C,yellow,True,True,,C,True,,C,True, +91,direct_attributes,color,What is the color of the chair?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_4203.jpg,3000,1500,4.5,1,chair,0.0015537777777777778,13.738666666666667,311.8494151111111,0.910268580633699,4,B,yellow,B,yellow,True,True,,B,True,,B,True, +92,direct_attributes,color,What is the color of the messenger bag?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_16825.jpg,2225,1500,3.3375,1,messenger bag,0.0005375280898876404,5.235056179775281,107.884037752809,1.1301218401287045,4,D,black,D,black,True,True,,D,True,,D,True, +93,direct_attributes,color,What is the color of the helmet?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_42585.jpg,2667,1500,4.0005,1,helmet,0.0001667291588551431,3.863517060367454,33.46320909886264,0.7905614437401765,4,A,white,D,red,False,True,,A,True,,A,True, +94,direct_attributes,color,What is the color of the backpack?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_9877.jpg,2250,1500,3.375,1,backpack,0.001216,11.349333333333332,244.056064,0.9973952248571782,4,A,red,A,red,True,True,,A,True,,A,True, +95,direct_attributes,color,What is the color of the watchband?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_11405.jpg,1500,2000,3.0,1,watchband,0.000195,3.36,39.137280000000004,0.9141754177642519,4,A,purple,D,black,False,True,,A,True,,A,True, +96,direct_attributes,color,What is the color of the bottle cap?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_66471.jpg,2250,1500,3.375,1,bottle cap,3.911111111111111e-05,2.389333333333333,7.849756444444444,0.07477010031579846,4,C,red,D,orange,False,True,,C,True,,C,True, +97,direct_attributes,color,What is the color of the umbrella?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_11290.jpg,2241,1500,3.3615,1,umbrella,0.0006494124646735088,11.050666666666668,130.33967930983192,1.0319576965206798,4,B,blue,B,blue,True,True,,B,True,,B,True, +98,direct_attributes,color,Does the flag have two or three colors?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_5281.jpg,2250,1500,3.375,1,flag,0.0015739259259259259,12.74311111111111,315.89322903703703,0.9600734796981704,2,B,three colors,B,three colors,True,True,,B,True,,B,True, +99,direct_attributes,color,What is the color of the dog?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_59664.jpg,2419,1500,3.6285,1,dog,0.00012181342152404575,4.815212897891691,24.44844095356208,0.7774807675580557,4,D,black and white,C,brown,False,True,,D,True,,D,True, +100,direct_attributes,color,What is the color of the woman's handbag?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_38669.jpg,3299,1500,4.9485,1,woman's handbag,0.0006110942709912095,4.888754167929675,122.6490645650197,1.0084478148240081,4,C,brown,D,black,False,True,,C,True,,C,True, +101,direct_attributes,color,What is the color of the life buoy?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_27986.jpg,3267,1500,4.9005,1,life buoy,0.0001173349658198143,3.4282216100397918,23.54959697990001,0.47964235212569706,4,B,red and white,B,red and white,True,True,,B,True,,B,True, +102,direct_attributes,color,What is the color of the mailbox?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_86882.jpg,2250,1500,3.375,1,mailbox,0.0007111111111111111,9.955555555555556,142.72284444444446,0.49776765862730443,4,C,black,C,black,True,True,,C,True,,C,True, +103,direct_attributes,color,What is the color of the lock?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_70112.jpg,1500,2001,3.0015,1,lock,0.0012686989838414126,12.537731134432784,254.6329608529069,0.3742055272332891,4,B,silver,B,silver,True,True,,B,True,,B,True, +104,direct_attributes,color,What is the color of the tent?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_7668.jpg,2250,1500,3.375,1,tent,0.001666962962962963,17.322666666666667,334.5661345185185,0.8896522277945204,4,B,green,B,green,True,True,,B,True,,B,True, +105,direct_attributes,color,What is the color of the bottle cap?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_7609.jpg,2250,1500,3.375,1,bottle cap,0.00011081481481481481,4.380444444444445,22.240976592592595,0.2174284045636887,4,D,blue,C,red,False,True,,D,True,,A,False, +106,direct_attributes,color,What is the color of the earring?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_11370.jpg,1500,2250,3.375,1,earring,0.00015288888888888888,3.5840000000000005,30.685411555555557,0.537690534704779,4,A,blue,C,silver,False,True,,A,True,,A,True, +107,direct_attributes,color,What is the color of the apples?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_1244.jpg,2460,1500,3.69,1,apples,0.0014796747967479676,15.530666666666669,296.9766504065041,0.621890018987952,4,A,green,A,green,True,True,,A,True,,A,True, +108,direct_attributes,color,What is the color of the swim ring?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_51837.jpg,2251,1500,3.3765,1,swim ring,0.0005473123056419369,8.358951577076855,109.84776899155932,0.8774131549740587,4,D,orange,C,blue,False,True,,D,True,,D,True, +109,direct_attributes,color,What is the color of the tablecloth?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_58805.jpg,2249,1500,3.3735,1,tablecloth,0.0009005483918778717,12.350377945753667,180.74366444345634,1.0197017792502767,4,A,green,C,white,False,True,,A,True,,A,True, +110,direct_attributes,color,What is the color of the hat?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_31451.jpg,2258,1500,3.387,1,hat,6.377325066430469e-05,3.571302037201063,12.799546501328612,0.8505303656023552,4,D,white,A,black,False,True,,D,True,,D,True, +111,direct_attributes,other_attribute,Is the flag blue and yellow or red and yellow?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_10885.jpg,2250,1500,3.375,1,flag,0.0013037037037037036,7.964444444444444,261.65854814814816,0.7504417793523565,2,B,blue and yellow,B,blue and yellow,True,True,,B,True,,B,True, +112,direct_attributes,color,What is the color of the bench?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_7683.jpg,2250,1500,3.375,1,bench,0.0032853333333333332,18.816000000000003,659.3795413333335,0.9572015023229867,4,D,green,D,green,True,True,,D,True,,D,True, +113,direct_attributes,color,Is the color of the plastic bucket black or green?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_9957.jpg,2667,1500,4.0005,1,plastic bucket,0.0041739782527184105,23.181102362204726,837.734131233596,0.8565662517292575,2,A,green,A,green,True,True,,A,True,,A,True, +114,direct_attributes,color,What is the color of the plastic basin?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/direct_attributes/sa_10052.jpg,3302,1500,4.953,1,plastic basin,0.0011007470220068644,12.753482737734707,220.92433030486575,0.8982166902431495,4,C,pink,C,pink,True,True,,C,True,,C,True, +115,relative_position,relative_position,Is the telephone on the left or right side of the hand lamp?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_69962.jpg,2249,1500,3.3735,2,hand lamp | telephone,0.002259670964873277,12.549577590040018,453.5250013339263,0.8058918207731177,2,A,right,A,right,True,True,,A,True,,A,True, +116,relative_position,relative_position,Is the red car on the left or right side of the police car?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_19421.jpg,2250,1500,3.375,2,red car | police car,0.000128,4.778666666666666,25.690112,0.6687071366210332,2,A,left,A,left,True,True,,A,True,,A,True, +117,relative_position,relative_position,Is the drum on the left or right side of the yellow balloon?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_7228.jpg,2259,1500,3.3885,1,drum,0.0021484432639811125,18.046923417441345,431.20115685406523,0.855697432100624,2,A,left,A,left,True,True,,A,True,,B,False, +118,relative_position,relative_position,Is the motorcycle on the left or right side of the dog?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_6183.jpg,2248,1500,3.372,2,dog | motorcycle,0.0026717081850533807,22.997333333333334,536.2225195729537,0.8602191530803291,2,A,left,A,left,True,True,,A,True,,A,True, +119,relative_position,relative_position,Is the cyclist on the left or right side of the sculpture?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_41869.jpg,2250,1500,3.375,1,cyclist,0.0003066666666666667,4.579555555555555,61.54922666666667,0.32227440190535883,2,A,right,A,right,True,True,,A,True,,B,False, +120,relative_position,relative_position,Is the baby stroller on the left or right side of the person in orange?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_79349.jpg,2250,1500,3.375,2,baby stroller | person in orange,0.0003122962962962963,5.575111111111111,62.679115851851854,0.6404462950085069,2,B,right,A,left,False,True,,A,False,,B,True, +121,relative_position,relative_position,Is the red backpack on the left or right side of the clock?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_4137.jpg,2250,1500,3.375,2,red backpack | clock,0.0013042962962962962,12.74311111111111,261.77748385185185,0.8381362333648464,2,A,right,A,right,True,True,,A,True,,A,True, +122,relative_position,relative_position,Is the bell above or below the clock?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_28639.jpg,1500,2254,3.381,2,bell | clock,0.0007666370896184561,9.540372670807454,153.8671304347826,0.6048655787770971,2,B,below,A,above,False,True,,A,False,,B,True, +123,relative_position,relative_position,Is the orange luggage on the left or right side of the purple umbrella?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_5593.jpg,2250,1500,3.375,2,orange luggage | purple umbrella,0.001342814814814815,9.15911111111111,269.5083045925926,1.0237023101239375,2,B,right,B,right,True,True,,B,True,,B,True, +124,relative_position,relative_position,Is the dog on the left or right side of the golden tower?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_31586.jpg,2250,1500,3.375,1,dog,0.00019911111111111111,4.181333333333333,39.962396444444444,0.4761595333862043,2,A,left,A,left,True,True,,A,True,,A,True, +125,relative_position,relative_position,Is the shark doll above or below the banana doll?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_52228.jpg,2155,1500,3.2325,2,shark doll | banana doll,0.0013958236658932715,9.7707656612529,280.1473930394432,0.9649817281329376,2,B,above,B,above,True,True,,B,True,,B,True, +126,relative_position,relative_position,Is the trash can on the left or right side of the baby carriage?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_61121.jpg,2250,1500,3.375,2,baby carriage | trash can,0.00033185185185185184,6.371555555555555,66.60399407407408,0.4607361259742693,2,A,right,A,right,True,True,,A,True,,A,True, +127,relative_position,relative_position,Is the seesaw on the left or right side of the red vehicle?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_53509.jpg,2933,1500,4.3995,2,seesaw | red vehicle,0.0008364586884873281,12.219570405727925,167.88060461416072,0.9387680676203579,2,A,right,A,right,True,True,,A,True,,A,True, +128,relative_position,relative_position,Is the umbrella on the left or right side of the traffic light?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_10313.jpg,2250,1500,3.375,2,umbrella | traffic light,0.0012817777777777777,8.362666666666666,257.2579271111111,0.8784475644321579,2,B,right,B,right,True,True,,B,True,,B,True, +129,relative_position,relative_position,Is the cyclist on the left or right side of the woman's handbag?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_23098.jpg,2250,1500,3.375,2,cyclist | woman's handbag,0.00014933333333333332,4.181333333333333,29.971797333333335,0.8411896337925236,2,B,left,A,right,False,True,,B,True,,A,False, +130,relative_position,relative_position,Is the wristband on the left or right side of the dog?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_7826.jpg,1500,2148,3.222,2,wristband | dog,0.000148975791433892,5.005586592178771,29.90003724394786,0.8268059856835368,2,B,left,B,left,True,True,,A,False,,B,True, +131,relative_position,relative_position,Is the dog on the left or right side of the train?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_25747.jpg,2250,1500,3.375,1,dog,0.00021125925925925926,4.579555555555555,42.40057837037037,0.6714138022316495,2,B,right,B,right,True,True,,B,True,,B,True, +132,relative_position,relative_position,Is the soccer ball on the left or right side of the water dispenser?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_40188.jpg,2258,1500,3.387,2,soccer ball | water dispenser,0.00011219368172423974,3.7697077059344553,22.517720696781815,0.33478528300961957,2,B,right,A,left,False,True,,B,True,,B,True, +133,relative_position,relative_position,Is the dog on the left or right side of the scooter?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_3194.jpg,2247,1500,3.3705,2,dog | scooter,0.0027915739504524553,19.339563862928348,560.2800581516095,0.731447900703662,2,B,left,A,right,False,True,,A,False,,B,True, +134,relative_position,relative_position,Is the trash can on the left or right side of the black chair?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_5156.jpg,1500,2250,3.375,2,trash can | black chair,0.00072,10.751999999999999,144.50688,0.9818044611835902,2,B,left,A,right,False,True,,A,False,,B,True, +135,relative_position,relative_position,Is the person with white trousers on the left or right side of the person in blue?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_69634.jpg,2000,1500,3.0,2,person in blue | person with white trousers,0.000242,4.928,48.57036800000001,0.8927250572140214,2,B,left,B,left,True,True,,B,True,,B,True, +136,relative_position,relative_position,Is the dog on the left or right side of the river?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_24031.jpg,2250,1500,3.375,1,dog,0.00019703703703703704,3.783111111111111,39.546121481481485,0.6541541706756486,2,B,right,A,left,False,True,,B,True,,B,True, +137,relative_position,relative_position,Is the blue bench on the left or right side of the green door?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_80084.jpg,2250,1500,3.375,1,blue bench,0.002702222222222222,18.915555555555553,542.3468088888889,0.5967169438780091,2,A,left,A,left,True,True,,A,True,,B,False, +138,relative_position,relative_position,Is the dog on the left or right side of the bicycle?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_3796.jpg,2247,1500,3.3705,2,dog | bicycle,0.0014312416555407209,11.763239875389408,287.25592523364486,0.7636824739686533,2,A,right,B,left,False,True,,A,True,,A,True, +139,relative_position,relative_position,Is the blue truck on the left or right side of the white vehicle?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_23264.jpg,2250,1500,3.375,2,blue truck | white vehicle,0.0007111111111111111,8.96,142.72284444444446,0.3127901517189211,2,A,right,B,left,False,True,,A,True,,A,True, +140,relative_position,relative_position,Is the bucket on the left or right side of the plunger?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_56362.jpg,1500,2250,3.375,2,bucket | plunger,0.000704,8.064,141.295616,1.1879605305826546,2,A,right,A,right,True,True,,B,False,,A,True, +141,relative_position,relative_position,Is the green statue on the left or right side of the white statue?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_64554.jpg,2265,1500,3.3975,2,white statue | green statue,0.00033995584988962473,4.15364238410596,68.23049889624724,1.0704844503027748,2,A,left,A,left,True,True,,A,True,,A,True, +142,relative_position,relative_position,Is the man with green shorts on the left or right side of the blue boat?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_31038.jpg,2250,1500,3.375,1,man with green shorts,0.00046992592592592594,5.176888888888889,94.31601303703704,0.9137494861595218,2,B,left,B,left,True,True,,B,True,,A,False, +143,relative_position,relative_position,Is the man with yellow cap on the left or right side of the lamp post?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_30441.jpg,1500,2250,3.375,1,man with yellow cap,0.0013982222222222221,11.648000000000001,280.6287928888889,0.9741795661788918,2,A,left,A,left,True,True,,A,True,,A,True, +144,relative_position,relative_position,Is the green handbag on the left or right side of the blue umbrella?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_6887.jpg,2246,1500,3.369,2,green handbag | blue umbrella,0.0005639655684179282,7.579697239536955,113.19014544375187,0.5279802589378113,2,B,left,B,left,True,True,,B,True,,B,True, +145,relative_position,relative_position,Is the shopping cart on the left or right side of the dog?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_59351.jpg,2250,1500,3.375,2,shopping cart | dog,0.0007241481481481481,10.353777777777777,145.33942992592594,0.6675842943954395,2,A,left,A,left,True,True,,B,False,,A,True, +146,relative_position,relative_position,Is the switch on the left or right side of the towel?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_62287.jpg,1500,2250,3.375,2,towel | switch,0.0005288888888888889,10.154666666666666,106.15011555555556,0.4518942845892659,2,B,right,A,left,False,True,,B,True,,B,True, +147,relative_position,relative_position,Is the silver vehicle on the left or right side of the red vehicle?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_34291.jpg,2250,1500,3.375,2,silver vehicle | red vehicle,0.0010133333333333333,11.349333333333334,203.38005333333334,1.2318365291579485,2,B,left,B,left,True,True,,B,True,,B,True, +148,relative_position,relative_position,Is the shovel on the left or right side of the house?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_31784.jpg,2250,1500,3.375,1,shovel,0.010037037037037037,24.888888888888886,2014.4734814814815,0.5740913593574536,2,B,right,B,right,True,True,,B,True,,B,True, +149,relative_position,relative_position,Is the yellow trash can on the left or right side of the motorcycle?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_3053.jpg,2230,1500,3.345,2,yellow trash can | motorcycle,0.0025258594917787745,14.263677130044842,506.9501034379671,0.7813800533863396,2,B,right,A,left,False,True,,B,True,,B,True, +150,relative_position,relative_position,Is the suitcase on the left or right side of the river?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_36787.jpg,2241,1500,3.3615,1,suitcase,0.002366800535475234,13.59393128067827,475.0263346720215,0.9561792608051538,2,B,left,A,right,False,True,,B,True,,B,True, +151,relative_position,relative_position,Is the red chair on the left or right side of the road?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_25678.jpg,2250,1500,3.375,1,red chair,0.00012088888888888888,3.384888888888889,24.262883555555558,0.44472568879209673,2,B,right,A,left,False,True,,A,False,,B,True, +152,relative_position,relative_position,Is the bowl on the left or right side of the faucet?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_51681.jpg,2250,1500,3.375,2,faucet | bowl,0.0011822222222222223,12.544,237.27672888888887,0.4172103120063602,2,A,right,B,left,False,True,,B,False,,A,True, +153,relative_position,relative_position,Is the white truck on the left or right side of the red truck?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_65804.jpg,4755,1500,7.1325,2,white truck | red truck,8.32807570977918e-05,3.1091482649842273,16.71478107255521,0.9407025106301969,2,B,right,A,left,False,True,,A,False,,A,False, +154,relative_position,relative_position,Is the pillar box on the left or right side of the telephone booth?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_62783.jpg,2256,1500,3.384,2,telephone booth | pillar box,0.0004042553191489362,4.76595744680851,81.13565957446808,0.6752329993809882,2,A,right.,B,left.,False,True,,B,False,,A,True, +155,relative_position,relative_position,Is the motorcyclist on the left or right side of the truck?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_64142.jpg,2250,1500,3.375,1,motorcyclist,0.0002962962962962963,4.977777777777778,59.467851851851854,0.8174237156237868,2,A,left,A,left,True,True,,A,True,,B,False, +156,relative_position,relative_position,Is the baby carriage on the left or right side of the cone?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_24971.jpg,2247,1500,3.3705,2,baby carriage | cone,4.4503782821539834e-05,1.9937694704049844,8.932087227414332,0.9319053597220215,2,A,right,B,left,False,True,,B,False,,A,True, +157,relative_position,relative_position,Is the sky wheel on the left or right side of the person on the horse?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_7626.jpg,3143,1304,4.098472,2,sky wheel | person on the horse,0.00011126097726176975,2.708240534521158,22.330523180346237,1.0052667069386625,2,B,right,B,right,True,True,,B,True,,B,True, +158,relative_position,relative_position,Is the pillar box on the left or right side of the man with the cane?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_58331.jpg,2245,1500,3.3675,2,pillar box | man with the cane,0.0010844840386043059,8.780400890868597,217.6602844840386,1.027520608561621,2,B,right,B,right,True,True,,B,True,,B,True, +159,relative_position,relative_position,Is the motorcycle on the left or right side of the street?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_57960.jpg,1500,2250,3.375,1,motorcycle,0.00037925925925925925,7.964444444444444,76.11885037037037,0.8338261061568185,2,A,left,B,right,False,True,,B,False,,A,True, +160,relative_position,relative_position,Is the blue luggage on the left or right side of the bus?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_83235.jpg,2250,1500,3.375,1,blue luggage,0.0008634074074074075,12.344888888888889,173.2893202962963,0.8515087263857671,2,A,right,B,left,False,True,,A,True,,A,True, +161,relative_position,relative_position,Is the small red car on the left or right side of the baby carriage?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_23575.jpg,2250,1500,3.375,2,small red car | baby carriage,0.0004148148148148148,7.7653333333333325,83.2549925925926,0.48075270201406783,2,A,left,A,left,True,True,,A,True,,A,True, +162,relative_position,relative_position,Is the woman with a backpack on the left or right side of the person with a beanie?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_24464.jpg,2250,1500,3.375,2,woman with a backpack | person with a beanie,0.0002405925925925926,5.176888888888889,48.287895703703704,1.0306761774272506,2,B,left,B,left,True,True,,B,True,,B,True, +163,relative_position,relative_position,Is the kid with black shirt on the left or right side of the kid with blue shirt?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_4953.jpg,2250,1500,3.375,2,kid with black shirt | kid with blue shirt,0.0007045925925925926,5.774222222222222,141.41455170370372,0.12851286144022922,2,B,left,B,left,True,True,,B,True,,B,True, +164,relative_position,relative_position,Is the yellow car on the left or right side of the pool?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_65606.jpg,3371,1448,4.881208,1,yellow car,0.00017044961001457017,4.2527439928804505,34.209918528364284,0.8502159549155998,2,A,left,B,right,False,True,,A,True,,B,False, +165,relative_position,relative_position,Is the green bucket on the left or right side of the red tent?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_87051.jpg,2250,1500,3.375,1,green bucket,0.0007333333333333333,10.95111111111111,147.18293333333335,1.0227920392511645,2,B,left,B,left,True,True,,B,True,,A,False, +166,relative_position,relative_position,Is the blue bottle on the left or right side of the carton?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_45802.jpg,2250,1500,3.375,2,blue bottle | carton,0.0003611851851851852,4.579555555555555,72.49131140740741,1.0087842579126352,2,B,left,A,right,False,True,,B,True,,B,True, +167,relative_position,relative_position,Is the wheelchair on the left or right side of the lamp post?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_23298.jpg,2250,1500,3.375,1,wheelchair,0.000208,5.176888888888889,41.746432,0.9354775633893836,2,B,left,A,right,False,True,,A,False,,A,False, +168,relative_position,relative_position,Is the dog on the left or right side of the blue bicycle?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_69550.jpg,1500,2250,3.375,2,dog | blue bicycle,9.333333333333333e-05,4.181333333333333,18.73237333333333,0.24126497906545985,2,B,right,A,left,False,True,,A,False,,B,True, +169,relative_position,relative_position,Is the keyboard on the left or right side of the guitar?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_61594.jpg,2254,1500,3.381,2,keyboard | guitar,0.0003992901508429459,4.48,80.13913043478261,0.29921102493672536,2,A,left,A,left,True,True,,A,True,,A,True, +170,relative_position,relative_position,Is the dog on the left or right side of the crosswalk?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_5613.jpg,2248,1500,3.372,1,dog,0.0011494661921708186,15.145907473309608,230.70246263345197,1.059242936332418,2,A,right,A,right,True,True,,A,True,,A,True, +171,relative_position,relative_position,Is the vehicle on the left or right side of the blue umbrella?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_40977.jpg,2250,1500,3.375,2,vehicle | blue umbrella,0.000184,4.579555555555555,36.929536,0.42685852168003413,2,B,left,B,left,True,True,,B,True,,B,True, +172,relative_position,relative_position,Is the steel ladder on the left or right side of the wagon?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_79958.jpg,2543,1500,3.8145,2,steel ladder | wagon,0.0002587495084545812,3.6995674400314593,51.93206134486827,0.15331346400487095,2,A,left,A,left,True,True,,A,True,,A,True, +173,relative_position,relative_position,Is the red vehicle on the left or right side of the sculpture?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_5465.jpg,2250,1500,3.375,1,red vehicle,0.000968,9.856000000000002,194.28147200000004,0.758967362137611,2,B,right,B,right,True,True,,B,True,,A,False, +174,relative_position,relative_position,Is the slide on the left or right side of the life buoy?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_77731.jpg,2000,1500,3.0,2,slide | life buoy,0.00035,6.72,70.24640000000001,0.5840460408031013,2,B,right,B,right,True,True,,B,True,,B,True, +175,relative_position,relative_position,Is the green surfboard on the left or right side of the purple umbrella?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_29022.jpg,2251,1500,3.3765,2,green surfboard | purple umbrella,0.00034888197837997924,7.562860950688583,70.02200858877535,0.5874364636615899,2,B,left,A,right,False,True,,B,True,,A,False, +176,relative_position,relative_position,Is the broom on the left or right side of the folded chair?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_71151.jpg,2250,1500,3.375,2,broom | folded chair,0.004170074074074074,12.344888888888889,836.950546962963,0.3898931160912035,2,B,left,B,left,True,True,,B,True,,B,True, +177,relative_position,relative_position,Is the soccer ball on the left or right side of the long bench?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_49792.jpg,2667,1500,4.0005,1,soccer ball,5.62429696287964e-05,2.5196850393700787,11.288188976377954,0.40394806893321,2,B,left,A,right,False,True,,A,False,,A,False, +178,relative_position,relative_position,Is the baby carriage on the left or right side of the cyclist?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_64257.jpg,2622,1500,3.933,2,cyclist | baby carriage,0.0002908721078057462,5.467581998474447,58.37919552504451,0.5067933691867593,2,B,right,A,left,False,True,,A,False,,A,False, +179,relative_position,relative_position,Is the bucket on the left or right side of the cyclist?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_86732.jpg,2666,1500,3.999,2,bucket | cyclist,0.00034108527131782945,3.6969242310577646,68.45717829457365,0.5080408668115,2,A,right,B,left,False,True,,B,False,,B,False, +180,relative_position,relative_position,Is the telephone booth on the left or right side of the yellow van?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_34785.jpg,2250,1500,3.375,2,yellow van | telephone booth,0.00034755555555555554,4.579555555555555,69.75579022222223,0.6335373160786959,2,A,right,B,left,False,True,,A,True,,A,True, +181,relative_position,relative_position,Is the red balloon above or below the white balloon?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_46221.jpg,2250,1500,3.375,2,red balloon | white balloon,0.000128,4.181333333333333,25.690112,0.4273411335741558,2,A,below,B,above,False,True,,A,True,,A,True, +182,relative_position,relative_position,"Which one is closer to the camera, the black vehicle or the silver vehicle?",/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_6531.jpg,2250,1500,3.375,2,black vehicle | silver vehicle,0.0008551111111111111,11.548444444444444,171.62422044444446,0.33424475396863823,2,A,black vehicle,A,black vehicle,True,True,,A,True,,A,True, +183,relative_position,relative_position,"Which one is closer to the camera, the water bottle or the vehicle?",/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_3222.jpg,2000,1500,3.0,1,water bottle,0.001189,9.184000000000001,238.63705600000003,0.7228072011262755,2,A,water bottle,A,water bottle,True,True,,A,True,,A,True, +184,relative_position,relative_position,Is the scooter on the left or right side of the cyclist?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_33280.jpg,3976,1500,5.964,2,scooter | cyclist,0.0006324614352783367,5.183098591549296,126.93753990610331,0.7992309661796395,2,A,right,A,right,True,True,,B,False,,A,True, +185,relative_position,relative_position,Is the volleyball on the left or right side of the man with white cap?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_53377.jpg,2250,1500,3.375,2,volleyball | man with white cap,0.00014992592592592594,4.579555555555555,30.090733037037037,0.3715938310960531,2,A,left,A,left,True,True,,A,True,,A,True, +186,relative_position,relative_position,Is the blue mask on the left or right side of the black mask?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_7621.jpg,2250,1500,3.375,2,blue mask | black mask,0.0015288888888888889,14.136888888888889,306.85411555555555,0.5406043714397369,2,B,left,B,left,True,True,,B,True,,B,True, +187,relative_position,relative_position,Is the street lamp on the left or right side of the blue van?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_42676.jpg,2250,1500,3.375,2,street lamp | blue van,0.0004500740740740741,4.579555555555555,90.33166696296296,0.560896152444604,2,A,left,B,right,False,True,,A,True,,A,True, +188,relative_position,relative_position,Is the yellow umbrella on the left or right side of the pink umbrella?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_40555.jpg,2643,1500,3.9645,2,yellow umbrella | pink umbrella,0.00021894312019170135,5.254634884600833,43.94275999495524,0.4465641828767654,2,A,left,A,left,True,True,,A,True,,A,True, +189,relative_position,relative_position,Is the red suitcase on the left or right side of the red stool?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_57152.jpg,2394,1500,3.591,2,red stool | red suitcase,0.0001392369813422445,3.742690058479532,27.945419103313842,0.6077768643858623,2,B,left,B,left,True,True,,B,True,,B,True, +190,relative_position,relative_position,Is the white chair on the left or right side of the street?,/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/raw/vstar_bench/relative_position/sa_78272.jpg,2436,1500,3.654,1,white chair,0.002769567597153804,16.919540229885058,555.8632950191572,0.8880117031740945,2,A,right,A,right,True,True,,A,True,,A,True, diff --git a/reports/evaluations/checkpoint-7000/vstar_diagnosis/sensitivity.log b/reports/evaluations/checkpoint-7000/vstar_diagnosis/sensitivity.log new file mode 100644 index 0000000000000000000000000000000000000000..ff9d473d3a4661a0ba2fc1bafdddcac3f2debbf8 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_diagnosis/sensitivity.log @@ -0,0 +1,79 @@ +[vstar-diagnostic] START global_dynamic_0p8mp utc=2026-08-10T17:16:41Z + Loading weights: 0%| | 0/767 [00:00 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (2990 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (3368 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (2988 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (3365 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (3366 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (3364 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (3365 > 1024). Running this sequence through the model will result in indexing errors +[vstar][rank 3] 10/24 correct=9 +[vstar][rank 0] 10/24 correct=9 +[vstar][rank 6] 10/24 correct=9 +[vstar][rank 7] 10/23 correct=7 +[vstar][rank 1] 10/24 correct=8 +[vstar][rank 4] 10/24 correct=8 +[vstar][rank 2] 10/24 correct=9 +[vstar][rank 5] 10/24 correct=8 +[vstar][rank 3] 20/24 correct=19 +[vstar][rank 0] 20/24 correct=17 +[vstar][rank 6] 20/24 correct=18 +[vstar][rank 7] 20/23 correct=15 +[vstar][rank 1] 20/24 correct=16 +[vstar][rank 2] 20/24 correct=16 +[vstar][rank 5] 20/24 correct=17 +[vstar][rank 4] 20/24 correct=16 +[vstar][rank 7] 23/23 correct=17 +[vstar][rank 3] 24/24 correct=22 +[vstar][rank 0] 24/24 correct=19 +[vstar][rank 6] 24/24 correct=22 +[vstar][rank 5] 24/24 correct=21 +[vstar][rank 2] 24/24 correct=19 +[vstar][rank 1] 24/24 correct=19 +[vstar][rank 4] 24/24 correct=20 +[vstar] final_metrics={"eval/vstar_accuracy": 0.8324607329842932, "eval/vstar_config_macro_accuracy": 0.8184782608695652, "eval/vstar_covt_answer_tag_rate": 1.0, "eval/vstar_covt_any_anchor_rate": 1.0, "eval/vstar_covt_depth_tokens_mean": 4.0, "eval/vstar_covt_dino_tokens_mean": 4.0, "eval/vstar_covt_pidinet_tokens_mean": 4.0, "eval/vstar_covt_sam_tokens_mean": 8.0, "eval/vstar_covt_siglip_tokens_mean": 4.0, "eval/vstar_covt_think_rate": 1.0, "eval/vstar_direct_attributes_accuracy": 0.8869565217391304, "eval/vstar_direct_attributes_samples": 115.0, "eval/vstar_errors": 0.0, "eval/vstar_parse_rate": 1.0, "eval/vstar_relative_position_accuracy": 0.75, "eval/vstar_relative_position_samples": 76.0, "eval/vstar_samples": 191.0, "eval/vstar_seconds": 220.21420741500333, "eval/vstar_task_direct_attributes_accuracy": 0.8869565217391304, "eval/vstar_task_macro_accuracy": 0.8184782608695652, "eval/vstar_task_relative_position_accuracy": 0.75} +[vstar-diagnostic] DONE global_dynamic_0p8mp utc=2026-08-10T17:21:11Z +[vstar-diagnostic] START oracle_crop_fixed448 utc=2026-08-10T17:21:11Z + Loading weights: 0%| | 0/767 [00:00": 151935, + "": 151668, + "": 151934, + "": 151667, + "<|depth_pad|>": 151931, + "<|dino_pad|>": 151930, + "<|pidinet_pad|>": 151932, + "<|sam_pad|>": 151929, + "<|siglip_pad|>": 151933 + }, + "sample_limit": null, + "scoring": "deterministic option exact-match; no LLM judge", + "split": "test", + "tokenizer_length": 151936, + "world_size": 8 + }, + "metrics": { + "eval/vstar_accuracy": 0.5340314136125655, + "eval/vstar_config_macro_accuracy": 0.5461098398169336, + "eval/vstar_covt_answer_tag_rate": 1.0, + "eval/vstar_covt_any_anchor_rate": 1.0, + "eval/vstar_covt_depth_tokens_mean": 4.0, + "eval/vstar_covt_dino_tokens_mean": 4.0, + "eval/vstar_covt_pidinet_tokens_mean": 4.0, + "eval/vstar_covt_sam_tokens_mean": 8.0, + "eval/vstar_covt_siglip_tokens_mean": 4.0, + "eval/vstar_covt_think_rate": 1.0, + "eval/vstar_direct_attributes_accuracy": 0.48695652173913045, + "eval/vstar_direct_attributes_samples": 115.0, + "eval/vstar_errors": 0.0, + "eval/vstar_parse_rate": 1.0, + "eval/vstar_relative_position_accuracy": 0.6052631578947368, + "eval/vstar_relative_position_samples": 76.0, + "eval/vstar_samples": 191.0, + "eval/vstar_seconds": 68.41738416394219, + "eval/vstar_task_direct_attributes_accuracy": 0.48695652173913045, + "eval/vstar_task_macro_accuracy": 0.5461098398169336, + "eval/vstar_task_relative_position_accuracy": 0.6052631578947368 + } +} diff --git a/reports/evaluations/checkpoint-7000/vstar_full_test/rank_00.jsonl b/reports/evaluations/checkpoint-7000/vstar_full_test/rank_00.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..15ecdfe0cc84ddbfb0ee5f39f8063af39aa6ef14 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_full_test/rank_00.jsonl @@ -0,0 +1,24 @@ +{"sample_id": "0", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 0, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "8", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 8, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "16", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 16, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "24", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 24, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "32", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 32, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "40", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 40, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "48", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 48, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "56", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 56, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "64", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 64, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "72", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 72, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "80", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 80, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "88", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 88, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "96", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 96, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "104", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 104, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "112", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 112, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "120", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 120, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "128", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 128, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "136", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 136, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "144", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 144, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "152", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 152, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "160", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 160, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "168", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 168, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "176", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 176, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "184", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 184, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/vstar_full_test/rank_01.jsonl b/reports/evaluations/checkpoint-7000/vstar_full_test/rank_01.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7a5ffb527997cd22ffc2d55b66972fa5671b0007 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_full_test/rank_01.jsonl @@ -0,0 +1,24 @@ +{"sample_id": "1", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 1, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "9", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 9, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "17", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 17, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "25", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 25, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "33", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 33, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "41", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 41, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "49", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 49, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "57", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 57, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "65", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 65, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "73", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 73, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "81", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 81, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "89", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 89, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "97", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 97, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "105", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 105, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "113", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 113, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "121", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 121, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "129", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 129, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "137", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 137, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "145", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 145, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "153", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 153, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "161", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 161, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "169", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 169, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "177", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 177, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "185", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 185, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/vstar_full_test/rank_02.jsonl b/reports/evaluations/checkpoint-7000/vstar_full_test/rank_02.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e3f0e09321311acf5ee1967d240f281d9be9fc5f --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_full_test/rank_02.jsonl @@ -0,0 +1,24 @@ +{"sample_id": "2", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 2, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "10", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 10, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "18", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 18, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "26", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 26, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "34", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 34, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "42", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 42, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "50", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 50, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "58", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 58, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "66", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 66, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "74", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 74, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "82", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 82, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "90", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 90, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "98", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 98, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "106", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 106, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "114", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 114, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "122", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 122, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "130", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 130, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "138", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 138, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "146", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 146, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "154", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 154, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "162", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 162, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "170", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 170, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "178", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 178, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "186", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 186, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/vstar_full_test/rank_03.jsonl b/reports/evaluations/checkpoint-7000/vstar_full_test/rank_03.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3d3184271cb63abb83b44731c3509978e93cd351 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_full_test/rank_03.jsonl @@ -0,0 +1,24 @@ +{"sample_id": "3", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 3, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "11", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 11, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "19", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 19, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "27", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 27, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "35", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 35, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "43", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 43, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "51", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 51, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "59", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 59, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "67", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 67, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "75", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 75, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "83", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 83, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "91", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 91, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "99", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 99, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "107", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 107, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "115", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 115, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "123", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 123, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "131", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 131, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "139", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 139, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "147", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 147, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "155", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 155, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "163", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 163, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "171", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 171, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "179", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 179, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "187", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 187, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/vstar_full_test/rank_04.jsonl b/reports/evaluations/checkpoint-7000/vstar_full_test/rank_04.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f29b1f94e31057455c4a216ec85974ae5ae15b63 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_full_test/rank_04.jsonl @@ -0,0 +1,24 @@ +{"sample_id": "4", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 4, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "12", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 12, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "20", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 20, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "28", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 28, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "36", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 36, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "44", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 44, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "52", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 52, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "60", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 60, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "68", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 68, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "76", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 76, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "84", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 84, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "92", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 92, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "100", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 100, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "108", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 108, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "116", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 116, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "124", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 124, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "132", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 132, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "140", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 140, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "148", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 148, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "156", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 156, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "164", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 164, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "172", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 172, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "180", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 180, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "188", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 188, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/vstar_full_test/rank_05.jsonl b/reports/evaluations/checkpoint-7000/vstar_full_test/rank_05.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..76fd55b3d6d8852209deb68f73a17d285b3a1467 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_full_test/rank_05.jsonl @@ -0,0 +1,24 @@ +{"sample_id": "5", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 5, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "13", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 13, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "21", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 21, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "29", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 29, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "37", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 37, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "45", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 45, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "53", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 53, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "61", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 61, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "69", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 69, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "77", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 77, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "85", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 85, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "93", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 93, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "101", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 101, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "109", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 109, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "117", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 117, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "125", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 125, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "133", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 133, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "141", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 141, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "149", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 149, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "157", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 157, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "165", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 165, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "173", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 173, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "181", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 181, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "189", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 189, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/vstar_full_test/rank_06.jsonl b/reports/evaluations/checkpoint-7000/vstar_full_test/rank_06.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..23a3d48c2dbc35d971e91bfcfe0a2fa796d03119 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_full_test/rank_06.jsonl @@ -0,0 +1,24 @@ +{"sample_id": "6", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 6, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "14", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 14, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "22", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 22, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "30", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 30, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "38", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 38, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "46", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 46, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "54", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 54, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "62", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 62, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "70", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 70, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "78", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 78, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "86", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 86, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "94", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 94, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "102", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 102, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "110", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 110, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "118", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 118, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "126", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 126, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "134", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 134, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "142", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 142, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "150", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 150, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "158", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 158, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "166", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 166, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "174", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 174, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "182", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 182, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "190", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 190, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/vstar_full_test/rank_07.jsonl b/reports/evaluations/checkpoint-7000/vstar_full_test/rank_07.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3bbad65c709eff7503ece7f1a9f4f6efb578026f --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_full_test/rank_07.jsonl @@ -0,0 +1,23 @@ +{"sample_id": "7", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 7, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "15", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 15, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "23", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 23, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "31", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 31, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "39", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 39, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "47", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 47, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "55", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 55, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "63", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 63, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "71", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 71, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "79", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 79, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "87", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 87, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "95", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 95, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "103", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 103, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "111", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 111, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "119", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 119, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "127", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 127, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "135", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 135, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "143", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 143, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "151", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 151, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "159", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 159, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "167", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 167, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "175", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 175, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "183", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 183, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/vstar_full_test/results.jsonl b/reports/evaluations/checkpoint-7000/vstar_full_test/results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2a6915c548d86a39dc2d16731ff89b6d02a75822 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_full_test/results.jsonl @@ -0,0 +1,191 @@ +{"sample_id": "0", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 0, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "1", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 1, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "2", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 2, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "3", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 3, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "4", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 4, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "5", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 5, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "6", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 6, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "7", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 7, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "8", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 8, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "9", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 9, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "10", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 10, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "11", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 11, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "12", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 12, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "13", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 13, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "14", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 14, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "15", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 15, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "16", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 16, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "17", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 17, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "18", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 18, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "19", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 19, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "20", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 20, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "21", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 21, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "22", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 22, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "23", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 23, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "24", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 24, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "25", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 25, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "26", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 26, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "27", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 27, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "28", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 28, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "29", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 29, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "30", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 30, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "31", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 31, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "32", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 32, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "33", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 33, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "34", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 34, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "35", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 35, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "36", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 36, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "37", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 37, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "38", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 38, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "39", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 39, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "40", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 40, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "41", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 41, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "42", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 42, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "43", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 43, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "44", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 44, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "45", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 45, "image_count": 1, "expected": "D", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "46", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 46, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "47", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 47, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "48", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 48, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "49", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 49, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "50", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 50, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "51", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 51, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "52", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 52, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "53", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 53, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "54", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 54, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "55", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 55, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "56", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 56, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "57", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 57, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "58", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 58, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "59", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 59, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "60", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 60, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "61", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 61, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "62", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 62, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "63", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 63, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "64", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 64, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "65", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 65, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "66", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 66, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "67", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 67, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "68", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 68, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "69", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 69, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "70", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 70, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "71", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 71, "image_count": 1, "expected": "B", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "72", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 72, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "73", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 73, "image_count": 1, "expected": "B", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "74", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 74, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "75", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 75, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "76", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 76, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "77", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 77, "image_count": 1, "expected": "C", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "78", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 78, "image_count": 1, "expected": "C", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "79", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 79, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "80", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 80, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "81", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 81, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "82", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 82, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "83", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 83, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "84", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 84, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "85", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 85, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "86", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 86, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "87", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 87, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "88", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 88, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "89", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 89, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "90", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 90, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "91", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 91, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "92", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 92, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "93", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 93, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "94", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 94, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "95", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 95, "image_count": 1, "expected": "A", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "96", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 96, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "97", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 97, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "98", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 98, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "99", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 99, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "100", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 100, "image_count": 1, "expected": "C", "predicted": "D", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "101", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 101, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "102", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 102, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "103", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 103, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "104", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 104, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "105", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 105, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "106", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 106, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "107", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 107, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "108", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 108, "image_count": 1, "expected": "D", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "109", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 109, "image_count": 1, "expected": "A", "predicted": "C", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "110", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 110, "image_count": 1, "expected": "D", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "111", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 111, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "112", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 112, "image_count": 1, "expected": "D", "predicted": "D", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (D) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (D) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 35, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "113", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 113, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "114", "benchmark": "vstar", "split": "test", "config": "direct_attributes", "task": "direct_attributes", "row_index": 114, "image_count": 1, "expected": "C", "predicted": "C", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (C) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (C) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 34, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "115", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 115, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "116", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 116, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "117", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 117, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "118", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 118, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "119", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 119, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "120", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 120, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "121", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 121, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "122", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 122, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "123", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 123, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "124", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 124, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "125", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 125, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "126", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 126, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "127", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 127, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "128", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 128, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "129", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 129, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "130", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 130, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "131", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 131, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "132", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 132, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "133", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 133, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "134", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 134, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "135", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 135, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "136", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 136, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "137", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 137, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "138", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 138, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "139", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 139, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "140", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 140, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "141", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 141, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "142", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 142, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "143", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 143, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "144", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 144, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "145", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 145, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "146", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 146, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "147", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 147, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "148", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 148, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "149", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 149, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "150", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 150, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "151", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 151, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "152", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 152, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "153", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 153, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "154", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 154, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "155", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 155, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "156", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 156, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "157", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 157, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "158", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 158, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "159", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 159, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "160", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 160, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "161", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 161, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "162", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 162, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "163", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 163, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "164", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 164, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "165", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 165, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "166", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 166, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "167", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 167, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "168", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 168, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "169", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 169, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "170", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 170, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "171", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 171, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "172", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 172, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "173", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 173, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "174", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 174, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n B ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n B <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 425, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "175", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 175, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "176", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 176, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "177", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 177, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n A ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n A <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 362, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "178", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 178, "image_count": 1, "expected": "B", "predicted": "A", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "179", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 179, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "180", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 180, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "181", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 181, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "182", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 182, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "183", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 183, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "184", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 184, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "185", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 185, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "186", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 186, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "187", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 187, "image_count": 1, "expected": "A", "predicted": "B", "correct": false, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "188", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 188, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "189", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 189, "image_count": 1, "expected": "B", "predicted": "B", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (B) ", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (B) <|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 33, 8, 220, 151935, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} +{"sample_id": "190", "benchmark": "vstar", "split": "test", "config": "relative_position", "task": "relative_position", "row_index": 190, "image_count": 1, "expected": "A", "predicted": "A", "correct": true, "response": " Using the 3D geometry above, the segmentation of the image is , the perception feature of the image is , the edge map of the image is , and the clip feature of the image is . \n (A) \n", "raw_response": " <|anchor_start|><|depth_pad|><|depth_pad|><|depth_pad|><|depth_pad|><|anchor_end|> Using the 3D geometry above, the segmentation of the image is <|anchor_start|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|sam_pad|><|anchor_end|>, the perception feature of the image is <|anchor_start|><|dino_pad|><|dino_pad|><|dino_pad|><|dino_pad|><|anchor_end|>, the edge map of the image is <|anchor_start|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|pidinet_pad|><|anchor_end|>, and the clip feature of the image is <|anchor_start|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|siglip_pad|><|anchor_end|>. \n (A) \n<|im_end|>", "generated_token_ids": [151667, 220, 151927, 151931, 151931, 151931, 151931, 151928, 12091, 279, 220, 18, 35, 17047, 3403, 11, 279, 59752, 315, 279, 2168, 374, 220, 151927, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151929, 151928, 11, 279, 20431, 4565, 315, 279, 2168, 374, 220, 151927, 151930, 151930, 151930, 151930, 151928, 11, 279, 6821, 2415, 315, 279, 2168, 374, 220, 151927, 151932, 151932, 151932, 151932, 151928, 11, 323, 279, 12327, 4565, 315, 279, 2168, 374, 220, 151927, 151933, 151933, 151933, 151933, 151928, 13, 256, 151668, 198, 151934, 320, 32, 8, 220, 151935, 198, 151645], "covt_has_think": true, "covt_has_answer": true, "covt_anchor_counts": {"sam": 8, "dino": 4, "depth": 4, "pidinet": 4, "siglip": 4}, "covt_has_any_anchor": true, "error": null} diff --git a/reports/evaluations/checkpoint-7000/vstar_full_test/swanlab.json b/reports/evaluations/checkpoint-7000/vstar_full_test/swanlab.json new file mode 100644 index 0000000000000000000000000000000000000000..12f82878a4bedaa24322e2f0d260bb988948e7ce --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_full_test/swanlab.json @@ -0,0 +1,5 @@ +{ + "enabled": true, + "run_id": "0abcgyj9", + "run_url": "https://swanlab.cn/@Oranger/unified-model/runs/0abcgyj9" +} diff --git a/reports/evaluations/checkpoint-7000/vstar_full_test/swanlab/.gitignore b/reports/evaluations/checkpoint-7000/vstar_full_test/swanlab/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..f59ec20aabf5842d237244ece8c81ab184faeac1 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_full_test/swanlab/.gitignore @@ -0,0 +1 @@ +* \ No newline at end of file diff --git a/reports/evaluations/checkpoint-7000/vstar_full_test/swanlab/run-20260810_115323-0abcgyj9/debug/debug.log b/reports/evaluations/checkpoint-7000/vstar_full_test/swanlab/run-20260810_115323-0abcgyj9/debug/debug.log new file mode 100644 index 0000000000000000000000000000000000000000..f9ff282c2e9d87aaf613e03a39f2a4080ad01d6d --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_full_test/swanlab/run-20260810_115323-0abcgyj9/debug/debug.log @@ -0,0 +1 @@ +Diagnostic log bound to file: /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_full_test/swanlab/run-20260810_115323-0abcgyj9/debug/debug.log diff --git a/reports/evaluations/checkpoint-7000/vstar_full_test/swanlab/run-20260810_115323-0abcgyj9/files/config.yaml b/reports/evaluations/checkpoint-7000/vstar_full_test/swanlab/run-20260810_115323-0abcgyj9/files/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..75a375aec16371e359a71e5f01cec5847e1cfeb5 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_full_test/swanlab/run-20260810_115323-0abcgyj9/files/config.yaml @@ -0,0 +1,86 @@ +attention: + desc: '' + sort: 10 + value: flash_attention_2 +benchmark: + desc: '' + sort: 5 + value: vstar +checkpoint_step: + desc: '' + sort: 7 + value: 7000 +created_utc: + desc: '' + sort: 0 + value: '2026-08-10T11:53:23.107902+00:00' +decoding: + desc: '' + sort: 13 + value: greedy +dtype: + desc: '' + sort: 9 + value: bfloat16 +embedding_rows: + desc: '' + sort: 16 + value: 151936 +host: + desc: '' + sort: 1 + value: dedicated-developjob-js-public-huvlx +input_image_count_distribution: + desc: '' + sort: 18 + value: + '1': 191 +manifest: + desc: '' + sort: 3 + value: /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/prepared/vstar_test/manifest.jsonl +manifest_sha256: + desc: '' + sort: 4 + value: 37eb222de48c369e7ea19065e392f1e8430ac70f999b0a2989f8940db8b60531 +max_new_tokens: + desc: '' + sort: 11 + value: 256 +model_path: + desc: '' + sort: 2 + value: /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/merged/checkpoint-7000-merged +required_token_ids: + desc: '' + sort: 17 + value: + : 151935 + : 151668 + : 151934 + : 151667 + <|depth_pad|>: 151931 + <|dino_pad|>: 151930 + <|pidinet_pad|>: 151932 + <|sam_pad|>: 151929 + <|siglip_pad|>: 151933 +sample_limit: + desc: '' + sort: 12 + value: {} +scoring: + desc: '' + sort: 14 + value: deterministic option exact-match; no LLM judge +split: + desc: '' + sort: 6 + value: test +tokenizer_length: + desc: '' + sort: 15 + value: 151936 +world_size: + desc: '' + sort: 8 + value: 8 diff --git a/reports/evaluations/checkpoint-7000/vstar_full_test/swanlab/run-20260810_115323-0abcgyj9/files/requirements.txt b/reports/evaluations/checkpoint-7000/vstar_full_test/swanlab/run-20260810_115323-0abcgyj9/files/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..edd41ff55621edbc9fe51e944b12254947a52f76 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_full_test/swanlab/run-20260810_115323-0abcgyj9/files/requirements.txt @@ -0,0 +1,305 @@ +absl-py==2.4.0 +accelerate==1.10.0 +addict==2.4.0 +aiofiles==24.1.0 +aiohappyeyeballs==2.6.1 +aiohttp==3.13.3 +aiosignal==1.4.0 +albucore==0.0.24 +albumentations==2.0.8 +annotated-doc==0.0.4 +annotated-types==0.6.0 +anthropic==0.97.0 +antlr4-python3-runtime==4.9.3 +anyio==4.12.1 +archspec==0.2.5 +attrs==25.4.0 +audioop-lts==0.2.2 +audioread==3.1.0 +av==16.1.0 +backports-zstd==1.3.0 +beautifulsoup4==4.14.3 +blessed==1.38.0 +bokeh==3.9.1 +boltons==25.0.0 +braceexpand==0.1.7 +brotli==1.2.0 +cairocffi==1.7.1 +cairosvg==2.9.0 +certifi==2026.6.17 +cffi==2.0.0 +charset-normalizer==3.4.4 +charset-normalizer==3.4.9 +clean-fid==0.1.35 +click==8.2.1 +coloredlogs==15.0.1 +colorlog==6.10.1 +conda==26.3.2 +conda-libmamba-solver==25.11.0 +conda-pack==0.9.2 +conda-package-handling==2.4.0 +conda-package-streaming==0.12.0 +contourpy==1.2.1 +cryptography==46.0.3 +cssselect2==0.9.0 +cuda-bindings==12.9.4 +cuda-pathfinder==1.5.2 +cycler==0.12.1 +cyclopts==4.20.0 +cython==3.2.4 +dashscope==1.24.1 +datasets==4.8.4 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+nvidia-ml-py==13.590.48 +nvidia-nccl-cu12==2.27.5 +nvidia-nvjitlink-cu12==12.8.93 +nvidia-nvshmem-cu12==3.4.5 +nvidia-nvtx-cu12==12.8.90 +nvitop==1.6.2 +ollama==0.6.2 +omegaconf==2.3.0 +onnx==1.19.0 +onnxruntime-gpu==1.22.0 +open-clip-torch==3.2.0 +openai==2.33.0 +opencv-python==4.11.0.86 +opencv-python-headless==4.11.0.86 +openimageio==3.1.13.1 +openpyxl==3.1.5 +orjson==3.11.7 +packaging==25.0 +packaging==26.2 +pandas==2.3.3 +panel==1.9.3 +panel-material-ui==0.13.0 +param==2.4.1 +parameterized==0.9.0 +peft==0.18.0 +pillow==11.3.0 +pip==26.0.1 +platformdirs==4.5.0 +platformdirs==4.10.0 +pluggy==1.5.0 +pluggy==1.6.0 +pooch==1.9.0 +portalocker==3.2.0 +prettytable==3.17.0 +proglog==0.1.12 +progressbar==2.5 +propcache==0.4.1 +protobuf==4.25.1 +psutil==7.2.2 +pyarrow==23.0.1 +pycosat==0.6.6 +pycparser==2.23 +pydantic==2.11.10 +pydantic-core==2.33.2 +pydantic-settings==2.12.0 +pydub==0.25.1 +pygments==2.19.2 +pyjwt==2.10.1 +pynvml==13.0.1 +pyparsing==3.3.2 +pysocks==1.7.1 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a/reports/evaluations/checkpoint-7000/vstar_full_test/swanlab/run-20260810_115323-0abcgyj9/files/swanlab-metadata.json b/reports/evaluations/checkpoint-7000/vstar_full_test/swanlab/run-20260810_115323-0abcgyj9/files/swanlab-metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0b3da8820a4fb0a08f2da180b049fe2e0a862857 --- /dev/null +++ b/reports/evaluations/checkpoint-7000/vstar_full_test/swanlab/run-20260810_115323-0abcgyj9/files/swanlab-metadata.json @@ -0,0 +1 @@ +{"_version":2,"hardware":{"apple_silicon":null,"cpu":{"brand":"INTEL(R) XEON(R) PLATINUM 8558","physical_count":96,"logical_count":192},"memory":{"total":2015,"total_unit":"GB"},"accelerators":[{"vendor":"nvidia","devices":[{"index":0,"name":"NVIDIA H200","memory":140,"memory_unit":"GB"},{"index":1,"name":"NVIDIA H200","memory":140,"memory_unit":"GB"},{"index":2,"name":"NVIDIA H200","memory":140,"memory_unit":"GB"},{"index":3,"name":"NVIDIA 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/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/code/umm/stage2_covt/eval_multibench.py --model-path /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/merged/checkpoint-7000-merged --manifest /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/data/benchmarks/prepared/vstar_test/manifest.jsonl --output-dir /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_full_test --benchmark vstar --checkpoint-step 7000 --max-new-tokens 256 --process-name H3_VSTAR_7K --swanlab --swanlab-project unified-model --swanlab-run-name H3_LoRA-ckpt7000-VStar-test"},"git":{"remote_url":null,"branch":null,"commit":null},"swanlab":{"version":"0.9.2","run_dir":"/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_full_test/swanlab/run-20260810_115323-0abcgyj9"}} \ No newline at end of file diff --git a/reports/evaluations/checkpoint-7000/vstar_full_test/swanlab/run-20260810_115323-0abcgyj9/run-0abcgyj9.swanlab b/reports/evaluations/checkpoint-7000/vstar_full_test/swanlab/run-20260810_115323-0abcgyj9/run-0abcgyj9.swanlab new file mode 100644 index 0000000000000000000000000000000000000000..930962d49875e1a1d9f32a95b670923da7ca399a Binary files /dev/null and b/reports/evaluations/checkpoint-7000/vstar_full_test/swanlab/run-20260810_115323-0abcgyj9/run-0abcgyj9.swanlab differ diff --git a/reports/logs/H3_LoRA_from3k_BCD_train.log b/reports/logs/H3_LoRA_from3k_BCD_train.log new file mode 100644 index 0000000000000000000000000000000000000000..113ac631b05cdc44af36c42609ede3db9723dbab --- /dev/null +++ b/reports/logs/H3_LoRA_from3k_BCD_train.log @@ -0,0 +1,71208 @@ +[H3_LoRA_BCD] starting resumable 8-GPU formal training +[2026-08-10 02:35:18,501] [WARNING] [runner.py:232:fetch_hostfile] Unable to find hostfile, will proceed with training with local resources only. +Detected VISIBLE_DEVICES=0,1,2,3,4,5,6,7: setting --include=localhost:0,1,2,3,4,5,6,7 +[2026-08-10 02:35:18,501] [INFO] [runner.py:630:main] cmd = /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/.env/unvideo/bin/python -u -m deepspeed.launcher.launch --world_info=eyJsb2NhbGhvc3QiOiBbMCwgMSwgMiwgMywgNCwgNSwgNiwgN119 --master_addr=127.0.0.1 --master_port=29671 --enable_each_rank_log=None --log_level=info /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/code/umm/stage2_covt/train.py --config /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/configs/stage2_covt_from3k_bcd_2k.yaml +[2026-08-10 02:35:27,565] [INFO] [launch.py:155:main] 0 NCCL_NET_PLUGIN=none +[2026-08-10 02:35:27,565] [INFO] [launch.py:155:main] 0 NCCL_VERSION=2.21.5 +[2026-08-10 02:35:27,565] [INFO] [launch.py:155:main] 0 NCCL_NVLS_ENABLE=0 +[2026-08-10 02:35:27,565] [INFO] [launch.py:155:main] 0 NCCL_WORK_FIFO_DEPTH=4194304 +[2026-08-10 02:35:27,565] [INFO] [launch.py:162:main] WORLD INFO DICT: {'localhost': [0, 1, 2, 3, 4, 5, 6, 7]} +[2026-08-10 02:35:27,565] [INFO] [launch.py:168:main] nnodes=1, num_local_procs=8, node_rank=0 +[2026-08-10 02:35:27,565] [INFO] [launch.py:179:main] global_rank_mapping=defaultdict(, {'localhost': [0, 1, 2, 3, 4, 5, 6, 7]}) +[2026-08-10 02:35:27,565] [INFO] [launch.py:180:main] dist_world_size=8 +[2026-08-10 02:35:27,565] [INFO] [launch.py:184:main] Setting CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 +[2026-08-10 02:35:27,566] [INFO] [launch.py:272:main] process 2189834 spawned with command: ['/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/.env/unvideo/bin/python', '-u', '/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/code/umm/stage2_covt/train.py', '--local_rank=0', '--config', '/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/configs/stage2_covt_from3k_bcd_2k.yaml'] +[2026-08-10 02:35:27,567] [INFO] [launch.py:272:main] process 2189835 spawned with command: ['/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/.env/unvideo/bin/python', '-u', '/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/code/umm/stage2_covt/train.py', '--local_rank=1', '--config', '/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/configs/stage2_covt_from3k_bcd_2k.yaml'] +[2026-08-10 02:35:27,568] [INFO] [launch.py:272:main] process 2189836 spawned with command: ['/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/.env/unvideo/bin/python', '-u', '/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/code/umm/stage2_covt/train.py', '--local_rank=2', '--config', '/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/configs/stage2_covt_from3k_bcd_2k.yaml'] +[2026-08-10 02:35:27,569] [INFO] [launch.py:272:main] process 2189837 spawned with command: ['/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/.env/unvideo/bin/python', '-u', '/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/code/umm/stage2_covt/train.py', '--local_rank=3', '--config', '/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/configs/stage2_covt_from3k_bcd_2k.yaml'] +[2026-08-10 02:35:27,569] [INFO] [launch.py:272:main] process 2189838 spawned with command: ['/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/.env/unvideo/bin/python', '-u', '/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/code/umm/stage2_covt/train.py', '--local_rank=4', '--config', '/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/configs/stage2_covt_from3k_bcd_2k.yaml'] +[2026-08-10 02:35:27,570] [INFO] [launch.py:272:main] process 2189839 spawned with command: ['/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/.env/unvideo/bin/python', '-u', '/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/code/umm/stage2_covt/train.py', '--local_rank=5', '--config', '/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/configs/stage2_covt_from3k_bcd_2k.yaml'] +[2026-08-10 02:35:27,571] [INFO] [launch.py:272:main] process 2189840 spawned with command: ['/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/.env/unvideo/bin/python', '-u', '/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/code/umm/stage2_covt/train.py', '--local_rank=6', '--config', '/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/configs/stage2_covt_from3k_bcd_2k.yaml'] +[2026-08-10 02:35:27,572] [INFO] [launch.py:272:main] process 2189841 spawned with command: ['/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/.env/unvideo/bin/python', '-u', '/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/code/umm/stage2_covt/train.py', '--local_rank=7', '--config', '/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/configs/stage2_covt_from3k_bcd_2k.yaml'] +[stage2_covt] loaded config: /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/configs/stage2_covt_from3k_bcd_2k.yaml +[stage2_covt] loaded config: /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/configs/stage2_covt_from3k_bcd_2k.yaml +warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead. +warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead. +PyTorch: setting up devices +PyTorch: setting up devices +[stage2_covt] loaded config: /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/configs/stage2_covt_from3k_bcd_2k.yaml +[stage2_covt] loaded config: /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/configs/stage2_covt_from3k_bcd_2k.yaml +[stage2_covt] loaded config: /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/configs/stage2_covt_from3k_bcd_2k.yaml +warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead. +PyTorch: setting up devices +warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead. +warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead. +PyTorch: setting up devices +PyTorch: setting up devices +[stage2_covt] loaded config: /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/configs/stage2_covt_from3k_bcd_2k.yaml +warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead. +PyTorch: setting up devices +[stage2_covt] loaded config: /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/configs/stage2_covt_from3k_bcd_2k.yaml +[stage2_covt] loaded config: /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/configs/stage2_covt_from3k_bcd_2k.yaml +warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead. +PyTorch: setting up devices +warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead. +PyTorch: setting up devices +model_args.model_path: /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/config.json +You are using a model of type `qwen3_vl` to instantiate a model of type `qwen_stage2_covt`. This may be expected if you are loading a checkpoint that shares a subset of the architecture (e.g., loading a `sam2_video` checkpoint into `Sam2Model`), but is otherwise not supported and can yield errors. Please verify that the checkpoint is compatible with the model you are instantiating. +Model config COVTQwenConfig { + "architectures": [ + "Qwen3VLForConditionalGeneration" + ], + "image_token_id": 151655, + "model_type": "qwen_stage2_covt", + "text_config": { + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "bfloat16", + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 2560, + "initializer_range": 0.02, + "intermediate_size": 9728, + "max_position_embeddings": 262144, + "model_type": "qwen3_vl_text", + "num_attention_heads": 32, + "num_hidden_layers": 36, + "num_key_value_heads": 8, + "pad_token_id": null, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "mrope_interleaved": true, + "mrope_section": [ + 24, + 20, + 20 + ], + "rope_theta": 5000000, + "rope_type": "default" + }, + "tie_word_embeddings": true, + "use_cache": true, + "vocab_size": 151936 + }, + "tie_word_embeddings": true, + "transformers_version": "5.6.0.dev0", + "video_token_id": 151656, + "vision_config": { + "deepstack_visual_indexes": [ + 5, + 11, + 17 + ], + "depth": 24, + "hidden_act": "gelu_pytorch_tanh", + "hidden_size": 1024, + "in_channels": 3, + "initializer_range": 0.02, + "intermediate_size": 4096, + "model_type": "qwen3_vl", + "num_heads": 16, + "num_position_embeddings": 2304, + "out_hidden_size": 2560, + "patch_size": 16, + "spatial_merge_size": 2, + "temporal_patch_size": 2 + }, + "vision_end_token_id": 151653, + "vision_start_token_id": 151652 +} + +loading weights file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/model.safetensors.index.json +Generate config GenerationConfig { + "output_attentions": false, + "output_hidden_states": false +} + +model_args.model_path: /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct +model_args.model_path:model_args.model_path: /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct +/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct +model_args.model_path:model_args.model_path: /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct +model_args.model_path:model_args.model_path: /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct + /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct + +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/config.json +You are using a model of type `qwen3_vl` to instantiate a model of type `qwen_stage2_covt`. This may be expected if you are loading a checkpoint that shares a subset of the architecture (e.g., loading a `sam2_video` checkpoint into `Sam2Model`), but is otherwise not supported and can yield errors. Please verify that the checkpoint is compatible with the model you are instantiating. +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/config.json +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/config.json +You are using a model of type `qwen3_vl` to instantiate a model of type `qwen_stage2_covt`. This may be expected if you are loading a checkpoint that shares a subset of the architecture (e.g., loading a `sam2_video` checkpoint into `Sam2Model`), but is otherwise not supported and can yield errors. Please verify that the checkpoint is compatible with the model you are instantiating. +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/config.json +You are using a model of type `qwen3_vl` to instantiate a model of type `qwen_stage2_covt`. This may be expected if you are loading a checkpoint that shares a subset of the architecture (e.g., loading a `sam2_video` checkpoint into `Sam2Model`), but is otherwise not supported and can yield errors. Please verify that the checkpoint is compatible with the model you are instantiating. +You are using a model of type `qwen3_vl` to instantiate a model of type `qwen_stage2_covt`. This may be expected if you are loading a checkpoint that shares a subset of the architecture (e.g., loading a `sam2_video` checkpoint into `Sam2Model`), but is otherwise not supported and can yield errors. Please verify that the checkpoint is compatible with the model you are instantiating. +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/config.json +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/config.json +You are using a model of type `qwen3_vl` to instantiate a model of type `qwen_stage2_covt`. This may be expected if you are loading a checkpoint that shares a subset of the architecture (e.g., loading a `sam2_video` checkpoint into `Sam2Model`), but is otherwise not supported and can yield errors. Please verify that the checkpoint is compatible with the model you are instantiating. +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/config.json +You are using a model of type `qwen3_vl` to instantiate a model of type `qwen_stage2_covt`. This may be expected if you are loading a checkpoint that shares a subset of the architecture (e.g., loading a `sam2_video` checkpoint into `Sam2Model`), but is otherwise not supported and can yield errors. Please verify that the checkpoint is compatible with the model you are instantiating. +You are using a model of type `qwen3_vl` to instantiate a model of type `qwen_stage2_covt`. This may be expected if you are loading a checkpoint that shares a subset of the architecture (e.g., loading a `sam2_video` checkpoint into `Sam2Model`), but is otherwise not supported and can yield errors. Please verify that the checkpoint is compatible with the model you are instantiating. +Model config COVTQwenConfig { + "architectures": [ + "Qwen3VLForConditionalGeneration" + ], + "image_token_id": 151655, + "model_type": "qwen_stage2_covt", + "text_config": { + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "bfloat16", + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 2560, + "initializer_range": 0.02, + "intermediate_size": 9728, + "max_position_embeddings": 262144, + "model_type": "qwen3_vl_text", + "num_attention_heads": 32, + "num_hidden_layers": 36, + "num_key_value_heads": 8, + "pad_token_id": null, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "mrope_interleaved": true, + "mrope_section": [ + 24, + 20, + 20 + ], + "rope_theta": 5000000, + "rope_type": "default" + }, + "tie_word_embeddings": true, + "use_cache": true, + "vocab_size": 151936 + }, + "tie_word_embeddings": true, + "transformers_version": "5.6.0.dev0", + "video_token_id": 151656, + "vision_config": { + "deepstack_visual_indexes": [ + 5, + 11, + 17 + ], + "depth": 24, + "hidden_act": "gelu_pytorch_tanh", + "hidden_size": 1024, + "in_channels": 3, + "initializer_range": 0.02, + "intermediate_size": 4096, + "model_type": "qwen3_vl", + "num_heads": 16, + "num_position_embeddings": 2304, + "out_hidden_size": 2560, + "patch_size": 16, + "spatial_merge_size": 2, + "temporal_patch_size": 2 + }, + "vision_end_token_id": 151653, + "vision_start_token_id": 151652 +} + +Model config COVTQwenConfig { + "architectures": [ + "Qwen3VLForConditionalGeneration" + ], + "image_token_id": 151655, + "model_type": "qwen_stage2_covt", + "text_config": { + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "bfloat16", + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 2560, + "initializer_range": 0.02, + "intermediate_size": 9728, + "max_position_embeddings": 262144, + "model_type": "qwen3_vl_text", + "num_attention_heads": 32, + "num_hidden_layers": 36, + "num_key_value_heads": 8, + "pad_token_id": null, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "mrope_interleaved": true, + "mrope_section": [ + 24, + 20, + 20 + ], + "rope_theta": 5000000, + "rope_type": "default" + }, + "tie_word_embeddings": true, + "use_cache": true, + "vocab_size": 151936 + }, + "tie_word_embeddings": true, + "transformers_version": "5.6.0.dev0", + "video_token_id": 151656, + "vision_config": { + "deepstack_visual_indexes": [ + 5, + 11, + 17 + ], + "depth": 24, + "hidden_act": "gelu_pytorch_tanh", + "hidden_size": 1024, + "in_channels": 3, + "initializer_range": 0.02, + "intermediate_size": 4096, + "model_type": "qwen3_vl", + "num_heads": 16, + "num_position_embeddings": 2304, + "out_hidden_size": 2560, + "patch_size": 16, + "spatial_merge_size": 2, + "temporal_patch_size": 2 + }, + "vision_end_token_id": 151653, + "vision_start_token_id": 151652 +} + +Model config COVTQwenConfig { + "architectures": [ + "Qwen3VLForConditionalGeneration" + ], + "image_token_id": 151655, + "model_type": "qwen_stage2_covt", + "text_config": { + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "bfloat16", + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 2560, + "initializer_range": 0.02, + "intermediate_size": 9728, + "max_position_embeddings": 262144, + "model_type": "qwen3_vl_text", + "num_attention_heads": 32, + "num_hidden_layers": 36, + "num_key_value_heads": 8, + "pad_token_id": null, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "mrope_interleaved": true, + "mrope_section": [ + 24, + 20, + 20 + ], + "rope_theta": 5000000, + "rope_type": "default" + }, + "tie_word_embeddings": true, + "use_cache": true, + "vocab_size": 151936 + }, + "tie_word_embeddings": true, + "transformers_version": "5.6.0.dev0", + "video_token_id": 151656, + "vision_config": { + "deepstack_visual_indexes": [ + 5, + 11, + 17 + ], + "depth": 24, + "hidden_act": "gelu_pytorch_tanh", + "hidden_size": 1024, + "in_channels": 3, + "initializer_range": 0.02, + "intermediate_size": 4096, + "model_type": "qwen3_vl", + "num_heads": 16, + "num_position_embeddings": 2304, + "out_hidden_size": 2560, + "patch_size": 16, + "spatial_merge_size": 2, + "temporal_patch_size": 2 + }, + "vision_end_token_id": 151653, + "vision_start_token_id": 151652 +} + +Model config COVTQwenConfig { + "architectures": [ + "Qwen3VLForConditionalGeneration" + ], + "image_token_id": 151655, + "model_type": "qwen_stage2_covt", + "text_config": { + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "bfloat16", + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 2560, + "initializer_range": 0.02, + "intermediate_size": 9728, + "max_position_embeddings": 262144, + "model_type": "qwen3_vl_text", + "num_attention_heads": 32, + "num_hidden_layers": 36, + "num_key_value_heads": 8, + "pad_token_id": null, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "mrope_interleaved": true, + "mrope_section": [ + 24, + 20, + 20 + ], + "rope_theta": 5000000, + "rope_type": "default" + }, + "tie_word_embeddings": true, + "use_cache": true, + "vocab_size": 151936 + }, + "tie_word_embeddings": true, + "transformers_version": "5.6.0.dev0", + "video_token_id": 151656, + "vision_config": { + "deepstack_visual_indexes": [ + 5, + 11, + 17 + ], + "depth": 24, + "hidden_act": "gelu_pytorch_tanh", + "hidden_size": 1024, + "in_channels": 3, + "initializer_range": 0.02, + "intermediate_size": 4096, + "model_type": "qwen3_vl", + "num_heads": 16, + "num_position_embeddings": 2304, + "out_hidden_size": 2560, + "patch_size": 16, + "spatial_merge_size": 2, + "temporal_patch_size": 2 + }, + "vision_end_token_id": 151653, + "vision_start_token_id": 151652 +} + +Model config COVTQwenConfig { + "architectures": [ + "Qwen3VLForConditionalGeneration" + ], + "image_token_id": 151655, + "model_type": "qwen_stage2_covt", + "text_config": { + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "bfloat16", + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 2560, + "initializer_range": 0.02, + "intermediate_size": 9728, + "max_position_embeddings": 262144, + "model_type": "qwen3_vl_text", + "num_attention_heads": 32, + "num_hidden_layers": 36, + "num_key_value_heads": 8, + "pad_token_id": null, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "mrope_interleaved": true, + "mrope_section": [ + 24, + 20, + 20 + ], + "rope_theta": 5000000, + "rope_type": "default" + }, + "tie_word_embeddings": true, + "use_cache": true, + "vocab_size": 151936 + }, + "tie_word_embeddings": true, + "transformers_version": "5.6.0.dev0", + "video_token_id": 151656, + "vision_config": { + "deepstack_visual_indexes": [ + 5, + 11, + 17 + ], + "depth": 24, + "hidden_act": "gelu_pytorch_tanh", + "hidden_size": 1024, + "in_channels": 3, + "initializer_range": 0.02, + "intermediate_size": 4096, + "model_type": "qwen3_vl", + "num_heads": 16, + "num_position_embeddings": 2304, + "out_hidden_size": 2560, + "patch_size": 16, + "spatial_merge_size": 2, + "temporal_patch_size": 2 + }, + "vision_end_token_id": 151653, + "vision_start_token_id": 151652 +} + +Model config COVTQwenConfig { + "architectures": [ + "Qwen3VLForConditionalGeneration" + ], + "image_token_id": 151655, + "model_type": "qwen_stage2_covt", + "text_config": { + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "bfloat16", + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 2560, + "initializer_range": 0.02, + "intermediate_size": 9728, + "max_position_embeddings": 262144, + "model_type": "qwen3_vl_text", + "num_attention_heads": 32, + "num_hidden_layers": 36, + "num_key_value_heads": 8, + "pad_token_id": null, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "mrope_interleaved": true, + "mrope_section": [ + 24, + 20, + 20 + ], + "rope_theta": 5000000, + "rope_type": "default" + }, + "tie_word_embeddings": true, + "use_cache": true, + "vocab_size": 151936 + }, + "tie_word_embeddings": true, + "transformers_version": "5.6.0.dev0", + "video_token_id": 151656, + "vision_config": { + "deepstack_visual_indexes": [ + 5, + 11, + 17 + ], + "depth": 24, + "hidden_act": "gelu_pytorch_tanh", + "hidden_size": 1024, + "in_channels": 3, + "initializer_range": 0.02, + "intermediate_size": 4096, + "model_type": "qwen3_vl", + "num_heads": 16, + "num_position_embeddings": 2304, + "out_hidden_size": 2560, + "patch_size": 16, + "spatial_merge_size": 2, + "temporal_patch_size": 2 + }, + "vision_end_token_id": 151653, + "vision_start_token_id": 151652 +} + +Model config COVTQwenConfig { + "architectures": [ + "Qwen3VLForConditionalGeneration" + ], + "image_token_id": 151655, + "model_type": "qwen_stage2_covt", + "text_config": { + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "bfloat16", + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 2560, + "initializer_range": 0.02, + "intermediate_size": 9728, + "max_position_embeddings": 262144, + "model_type": "qwen3_vl_text", + "num_attention_heads": 32, + "num_hidden_layers": 36, + "num_key_value_heads": 8, + "pad_token_id": null, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "mrope_interleaved": true, + "mrope_section": [ + 24, + 20, + 20 + ], + "rope_theta": 5000000, + "rope_type": "default" + }, + "tie_word_embeddings": true, + "use_cache": true, + "vocab_size": 151936 + }, + "tie_word_embeddings": true, + "transformers_version": "5.6.0.dev0", + "video_token_id": 151656, + "vision_config": { + "deepstack_visual_indexes": [ + 5, + 11, + 17 + ], + "depth": 24, + "hidden_act": "gelu_pytorch_tanh", + "hidden_size": 1024, + "in_channels": 3, + "initializer_range": 0.02, + "intermediate_size": 4096, + "model_type": "qwen3_vl", + "num_heads": 16, + "num_position_embeddings": 2304, + "out_hidden_size": 2560, + "patch_size": 16, + "spatial_merge_size": 2, + "temporal_patch_size": 2 + }, + "vision_end_token_id": 151653, + "vision_start_token_id": 151652 +} + +loading weights file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/model.safetensors.index.json +loading weights file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/model.safetensors.index.json +loading weights file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/model.safetensors.index.json +loading weights file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/model.safetensors.index.json +loading weights file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/model.safetensors.index.json +loading weights file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/model.safetensors.index.json +loading weights file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/model.safetensors.index.json +Generate config GenerationConfig { + "output_attentions": false, + "output_hidden_states": false +} + +Generate config GenerationConfig { + "output_attentions": false, + "output_hidden_states": false +} + +Generate config GenerationConfig { + "output_attentions": false, + "output_hidden_states": false +} + +Generate config GenerationConfig { + "output_attentions": false, + "output_hidden_states": false +} + +Generate config GenerationConfig { + "output_attentions": false, + "output_hidden_states": false +} + +Generate config GenerationConfig { + "output_attentions": false, + "output_hidden_states": false +} + +Generate config GenerationConfig { + "output_attentions": false, + "output_hidden_states": false +} + + Loading weights: 0%| | 0/713 [00:00', 'eos_token': '', 'unk_token': '', 'pad_token': ''}, added_tokens_decoder={ + 0: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 1: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 2: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 3: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 4: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 5: AddedToken("<2mass>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 6: AddedToken("[@BOS@]", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 7: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 8: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 9: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 10: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 11: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 12: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 13: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 14: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 15: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 16: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 17: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 18: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 19: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 20: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 21: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 22: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 23: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 24: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 25: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 26: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 27: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 28: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 29: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 30: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 31: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 32: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 33: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 34: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 35: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 36: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 37: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 38: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 39: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 40: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 41: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 42: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 43: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 44: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 45: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 46: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 47: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 48: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 49: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 50: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 51: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 52: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 53: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 54: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 55: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 56: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 57: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 58: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 59: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 60: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 61: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 62: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 63: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 64: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 65: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 66: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 67: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 68: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 69: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 70: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 71: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 72: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 73: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 74: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 75: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 76: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 77: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 78: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 79: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 80: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 81: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 82: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 83: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 84: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 85: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 86: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 87: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 88: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 89: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 90: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 91: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 92: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 93: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 94: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 95: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 96: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 97: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 98: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 99: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 100: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 101: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 102: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 103: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 104: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 105: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 106: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 107: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 108: AddedToken(" +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 109: AddedToken(" + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 110: AddedToken(" + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 111: AddedToken(" + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 112: AddedToken(" + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 113: AddedToken(" + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), 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AddedToken(" + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 123: AddedToken(" + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 124: AddedToken(" + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 125: AddedToken(" + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 126: AddedToken(" + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 127: AddedToken(" + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 128: AddedToken(" + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 129: AddedToken(" + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 130: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 131: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 132: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 133: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 134: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 135: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 136: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 137: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 138: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 139: AddedToken("▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 140: AddedToken("▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 141: AddedToken("▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 142: AddedToken("▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 143: AddedToken("▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 144: AddedToken("▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 145: AddedToken("▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 146: AddedToken("▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 147: AddedToken("▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 148: AddedToken("▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 149: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 150: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 152: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 153: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 154: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 155: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 156: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 157: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 158: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 159: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 160: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 161: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 162: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 163: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 164: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 165: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 166: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 167: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 168: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 169: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 170: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 172: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 173: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 174: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 175: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 171: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 176: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 177: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 178: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 179: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 180: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 181: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 182: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 183: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 184: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 185: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 186: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 187: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 188: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 189: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 190: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 191: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 192: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 193: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 194: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 195: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 196: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 197: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 198: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 199: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 200: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 201: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 202: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 203: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 204: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 205: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 206: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 207: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 208: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 209: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 210: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 211: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 212: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 213: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 214: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 215: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 216: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255968: AddedToken("[toxicity=0]", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255969: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255970: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255971: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255972: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255973: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255974: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255975: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255976: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255977: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255978: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255979: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255980: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255981: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255982: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255983: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255984: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255985: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255986: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255987: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255988: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255989: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255990: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255991: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255992: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255993: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255994: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255995: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255996: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255997: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255998: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255999: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), +}) + +{ + "image_processor": { + "do_convert_rgb": null, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_processor_type": "SiglipImageProcessor", + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "resample": 2, + "rescale_factor": 0.00392156862745098, + "size": { + "height": 256, + "width": 256 + } + }, + "processor_class": "SiglipProcessor" +} + +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/teachers/siglip2-large-patch16-256/config.json +`text_config` is `None`. Initializing the `SiglipTextConfig` with default values. +`vision_config` is `None`. initializing the `SiglipVisionConfig` with default values. +Model config SiglipConfig { + "initializer_factor": 1.0, + "model_type": "siglip", + "text_config": { + "attention_dropout": 0.0, + "bos_token_id": 49406, + "eos_token_id": 49407, + "hidden_act": "gelu_pytorch_tanh", + "hidden_size": 1024, + "intermediate_size": 4096, + "layer_norm_eps": 1e-06, + "max_position_embeddings": 64, + "model_type": "siglip_text_model", + "num_attention_heads": 16, + "num_hidden_layers": 24, + "pad_token_id": 1, + "projection_size": 1024, + "vocab_size": 256000 + }, + "transformers_version": "5.6.0.dev0", + "vision_config": { + "attention_dropout": 0.0, + "hidden_act": "gelu_pytorch_tanh", + "hidden_size": 1024, + "image_size": 256, + "intermediate_size": 4096, + "layer_norm_eps": 1e-06, + "model_type": "siglip_vision_model", + "num_attention_heads": 16, + "num_channels": 3, + "num_hidden_layers": 24, + "patch_size": 16 + } +} + +loading weights file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/teachers/siglip2-large-patch16-256/model.safetensors +Since the `dtype` attribute can't be found in model's config object, will use dtype={dtype} as derived from model's weights + Loading weights: 0%| | 0/792 [00:00', 'eos_token': '', 'unk_token': '', 'pad_token': ''}, added_tokens_decoder={ + 0: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 1: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 2: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 3: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 4: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 5: AddedToken("<2mass>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 6: AddedToken("[@BOS@]", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 7: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 8: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 9: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 10: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 11: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 12: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 13: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 14: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 15: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 16: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 17: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 18: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 19: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 20: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 21: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 22: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 23: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 24: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 25: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 26: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 27: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 28: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 29: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 30: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 31: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 32: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 33: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 34: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 35: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 36: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 37: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 38: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 39: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 40: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 41: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 42: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 43: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 44: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 45: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 46: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 47: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 48: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 49: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 50: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 51: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 52: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 53: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 54: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 55: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 56: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 57: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 58: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 59: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 60: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 61: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 62: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 63: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 64: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 65: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 66: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 67: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 68: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 69: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 70: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 71: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 72: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 73: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 74: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 75: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 76: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 77: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 78: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 79: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 80: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 81: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 82: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 83: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 84: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 85: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 86: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 87: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 88: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 89: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 90: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 91: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 92: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 93: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 94: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 95: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 96: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 97: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 98: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 99: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 100: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 101: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 102: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 103: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 104: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 105: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 106: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 107: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 108: AddedToken(" +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 109: AddedToken(" + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 110: AddedToken(" + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 111: AddedToken(" + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 112: AddedToken(" + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 113: AddedToken(" + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 114: AddedToken(" + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 115: AddedToken(" + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 116: AddedToken(" + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 117: AddedToken(" + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 118: AddedToken(" + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 119: AddedToken(" + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 120: AddedToken(" + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 121: AddedToken(" + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 122: AddedToken(" + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 123: AddedToken(" + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 124: AddedToken(" + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 125: AddedToken(" + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 126: AddedToken(" + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 127: AddedToken(" + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 128: AddedToken(" + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 129: AddedToken(" + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 130: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 131: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 132: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 133: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 134: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 135: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 136: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 137: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 138: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 139: AddedToken("▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 140: AddedToken("▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 141: AddedToken("▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 142: AddedToken("▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 143: AddedToken("▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 144: AddedToken("▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 145: AddedToken("▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 146: AddedToken("▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 147: AddedToken("▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 148: AddedToken("▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 149: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 150: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 152: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 153: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 154: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 155: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 156: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 157: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 158: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 159: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 160: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 161: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 162: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 163: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 164: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 165: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 166: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 167: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 168: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 169: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 170: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 172: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 173: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 174: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 175: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 171: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 176: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 177: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 178: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 179: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 180: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 181: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 182: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 183: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 184: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 185: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 186: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 187: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 188: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 189: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 190: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 191: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 192: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 193: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 194: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 195: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 196: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 197: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 198: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 199: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 200: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 201: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 202: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 203: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 204: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 205: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 206: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 207: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 208: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 209: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 210: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 211: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 212: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 213: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 214: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 215: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 216: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255968: AddedToken("[toxicity=0]", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255969: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255970: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255971: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255972: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255973: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255974: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255975: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255976: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255977: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255978: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255979: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255980: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255981: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255982: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255983: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255984: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255985: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255986: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255987: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255988: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255989: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255990: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255991: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255992: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255993: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255994: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255995: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255996: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255997: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255998: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255999: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), +}) + +{ + "image_processor": { + "do_convert_rgb": null, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_processor_type": "SiglipImageProcessor", + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "resample": 2, + "rescale_factor": 0.00392156862745098, + "size": { + "height": 256, + "width": 256 + } + }, + "processor_class": "SiglipProcessor" +} + +{'layer0': 'cd', 'layer1': 'ad', 'layer2': 'rd', 'layer3': 'cv', 'layer4': 'cd', 'layer5': 'ad', 'layer6': 'rd', 'layer7': 'cv', 'layer8': 'cd', 'layer9': 'ad', 'layer10': 'rd', 'layer11': 'cv', 'layer12': 'cd', 'layer13': 'ad', 'layer14': 'rd', 'layer15': 'cv'} +initialization done +{'layer0': 'cd', 'layer1': 'ad', 'layer2': 'rd', 'layer3': 'cv', 'layer4': 'cd', 'layer5': 'ad', 'layer6': 'rd', 'layer7': 'cv', 'layer8': 'cd', 'layer9': 'ad', 'layer10': 'rd', 'layer11': 'cv', 'layer12': 'cd', 'layer13': 'ad', 'layer14': 'rd', 'layer15': 'cv'} +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/teachers/siglip2-large-patch16-256/config.json +`text_config` is `None`. Initializing the `SiglipTextConfig` with default values. +`vision_config` is `None`. initializing the `SiglipVisionConfig` with default values. +Model config SiglipConfig { + "initializer_factor": 1.0, + "model_type": "siglip", + "text_config": { + "attention_dropout": 0.0, + "bos_token_id": 49406, + "eos_token_id": 49407, + "hidden_act": "gelu_pytorch_tanh", + "hidden_size": 1024, + "intermediate_size": 4096, + "layer_norm_eps": 1e-06, + "max_position_embeddings": 64, + "model_type": "siglip_text_model", + "num_attention_heads": 16, + "num_hidden_layers": 24, + "pad_token_id": 1, + "projection_size": 1024, + "vocab_size": 256000 + }, + "transformers_version": "5.6.0.dev0", + "vision_config": { + "attention_dropout": 0.0, + "hidden_act": "gelu_pytorch_tanh", + "hidden_size": 1024, + "image_size": 256, + "intermediate_size": 4096, + "layer_norm_eps": 1e-06, + "model_type": "siglip_vision_model", + "num_attention_heads": 16, + "num_channels": 3, + "num_hidden_layers": 24, + "patch_size": 16 + } +} + +loading weights file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/teachers/siglip2-large-patch16-256/model.safetensors +Since the `dtype` attribute can't be found in model's config object, will use dtype={dtype} as derived from model's weights + Loading weights: 0%| | 0/792 [00:00', 'eos_token': '', 'unk_token': '', 'pad_token': ''}, added_tokens_decoder={ + 0: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 1: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 2: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 3: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 4: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 5: AddedToken("<2mass>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 6: AddedToken("[@BOS@]", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 7: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 8: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 9: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 10: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 11: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 12: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 13: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 14: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 15: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 16: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 17: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 18: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 19: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 20: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 21: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 22: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 23: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 24: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 25: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 26: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 27: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 28: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 29: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 30: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 31: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 32: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 33: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 34: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 35: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 36: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 37: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 38: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 39: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 40: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 41: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 42: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 43: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 44: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 45: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 46: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 47: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 48: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 49: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 50: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 51: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 52: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 53: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 54: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 55: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 56: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 57: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 58: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 59: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 60: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 61: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 62: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 63: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 64: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 65: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 66: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 67: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 68: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 69: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 70: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 71: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 72: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 73: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 74: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 75: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 76: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 77: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 78: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 79: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 80: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 81: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 82: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 83: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 84: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 85: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 86: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 87: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 88: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 89: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 90: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 91: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 92: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 93: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 94: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 95: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 96: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 97: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 98: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 99: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 100: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 101: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 102: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 103: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 104: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 105: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 106: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 107: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 108: AddedToken(" +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 109: AddedToken(" + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 110: AddedToken(" + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 111: AddedToken(" + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 112: AddedToken(" + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 113: AddedToken(" + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 114: AddedToken(" + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 115: AddedToken(" + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 116: AddedToken(" + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 117: AddedToken(" + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 118: AddedToken(" + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 119: AddedToken(" + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 120: AddedToken(" + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 121: AddedToken(" + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 122: AddedToken(" + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 123: AddedToken(" + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 124: AddedToken(" + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 125: AddedToken(" + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 126: AddedToken(" + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 127: AddedToken(" + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 128: AddedToken(" + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 129: AddedToken(" + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 130: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 131: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 132: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 133: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 134: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 135: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 136: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 137: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 138: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 139: AddedToken("▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 140: AddedToken("▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 141: AddedToken("▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 142: AddedToken("▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 143: AddedToken("▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 144: AddedToken("▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 145: AddedToken("▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 146: AddedToken("▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 147: AddedToken("▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 148: AddedToken("▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 149: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 150: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 152: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 153: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 154: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 155: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 156: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 157: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 158: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 159: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 160: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 161: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 162: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 163: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 164: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 165: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 166: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 167: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 168: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 169: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 170: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 172: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 173: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 174: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 175: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 171: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 176: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 177: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 178: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 179: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 180: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 181: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 182: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 183: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 184: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 185: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 186: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 187: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 188: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 189: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 190: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 191: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 192: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 193: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 194: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 195: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 196: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 197: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 198: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 199: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 200: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 201: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 202: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 203: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 204: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 205: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 206: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 207: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 208: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 209: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 210: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 211: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 212: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 213: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 214: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 215: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 216: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255968: AddedToken("[toxicity=0]", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255969: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255970: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255971: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255972: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255973: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255974: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255975: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255976: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255977: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255978: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255979: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255980: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255981: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255982: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255983: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255984: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255985: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255986: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255987: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255988: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255989: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255990: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255991: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255992: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255993: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255994: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255995: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255996: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255997: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255998: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255999: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), +}) + +{ + "image_processor": { + "do_convert_rgb": null, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_processor_type": "SiglipImageProcessor", + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "resample": 2, + "rescale_factor": 0.00392156862745098, + "size": { + "height": 256, + "width": 256 + } + }, + "processor_class": "SiglipProcessor" +} + +{'layer0': 'cd', 'layer1': 'ad', 'layer2': 'rd', 'layer3': 'cv', 'layer4': 'cd', 'layer5': 'ad', 'layer6': 'rd', 'layer7': 'cv', 'layer8': 'cd', 'layer9': 'ad', 'layer10': 'rd', 'layer11': 'cv', 'layer12': 'cd', 'layer13': 'ad', 'layer14': 'rd', 'layer15': 'cv'} +initialization done +{'layer0': 'cd', 'layer1': 'ad', 'layer2': 'rd', 'layer3': 'cv', 'layer4': 'cd', 'layer5': 'ad', 'layer6': 'rd', 'layer7': 'cv', 'layer8': 'cd', 'layer9': 'ad', 'layer10': 'rd', 'layer11': 'cv', 'layer12': 'cd', 'layer13': 'ad', 'layer14': 'rd', 'layer15': 'cv'} +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/teachers/siglip2-large-patch16-256/config.json +`text_config` is `None`. Initializing the `SiglipTextConfig` with default values. +`vision_config` is `None`. initializing the `SiglipVisionConfig` with default values. +Model config SiglipConfig { + "initializer_factor": 1.0, + "model_type": "siglip", + "text_config": { + "attention_dropout": 0.0, + "bos_token_id": 49406, + "eos_token_id": 49407, + "hidden_act": "gelu_pytorch_tanh", + "hidden_size": 1024, + "intermediate_size": 4096, + "layer_norm_eps": 1e-06, + "max_position_embeddings": 64, + "model_type": "siglip_text_model", + "num_attention_heads": 16, + "num_hidden_layers": 24, + "pad_token_id": 1, + "projection_size": 1024, + "vocab_size": 256000 + }, + "transformers_version": "5.6.0.dev0", + "vision_config": { + "attention_dropout": 0.0, + "hidden_act": "gelu_pytorch_tanh", + "hidden_size": 1024, + "image_size": 256, + "intermediate_size": 4096, + "layer_norm_eps": 1e-06, + "model_type": "siglip_vision_model", + "num_attention_heads": 16, + "num_channels": 3, + "num_hidden_layers": 24, + "patch_size": 16 + } +} + +loading weights file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/teachers/siglip2-large-patch16-256/model.safetensors +Since the `dtype` attribute can't be found in model's config object, will use dtype={dtype} as derived from model's weights + Loading weights: 0%| | 0/792 [00:00', 'eos_token': '', 'unk_token': '', 'pad_token': ''}, added_tokens_decoder={ + 0: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 1: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 2: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 3: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 4: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 5: AddedToken("<2mass>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 6: AddedToken("[@BOS@]", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 7: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 8: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 9: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 10: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 11: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 12: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 13: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 14: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 15: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 16: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 17: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 18: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 19: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 20: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 21: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 22: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 23: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 24: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 25: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 26: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 27: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 28: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 29: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 30: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 31: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 32: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 33: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 34: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 35: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 36: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 37: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 38: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 39: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 40: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 41: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 42: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 43: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 44: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 45: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 46: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 47: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 48: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 49: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 50: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 51: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 52: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 53: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 54: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 55: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 56: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 57: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 58: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 59: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 60: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 61: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 62: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 63: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 64: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 65: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 66: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 67: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 68: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 69: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 70: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 71: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 72: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 73: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 74: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 75: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 76: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 77: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 78: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 79: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 80: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 81: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 82: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 83: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 84: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 85: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 86: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 87: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 88: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 89: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 90: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 91: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 92: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 93: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 94: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 95: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 96: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 97: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 98: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 99: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 100: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 101: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 102: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 103: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 104: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 105: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 106: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 107: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 108: AddedToken(" +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 109: AddedToken(" + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 110: AddedToken(" + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 111: AddedToken(" + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 112: AddedToken(" + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 113: AddedToken(" + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 114: AddedToken(" + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 115: AddedToken(" + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 116: AddedToken(" + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 117: AddedToken(" + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 118: AddedToken(" + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 119: AddedToken(" + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 120: AddedToken(" + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 121: AddedToken(" + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 122: AddedToken(" + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 123: AddedToken(" + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 124: AddedToken(" + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 125: AddedToken(" + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 126: AddedToken(" + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 127: AddedToken(" + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 128: AddedToken(" + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 129: AddedToken(" + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 130: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 131: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 132: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 133: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 134: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 135: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 136: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 137: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 138: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 139: AddedToken("▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 140: AddedToken("▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 141: AddedToken("▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 142: AddedToken("▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 143: AddedToken("▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 144: AddedToken("▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 145: AddedToken("▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 146: AddedToken("▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 147: AddedToken("▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 148: AddedToken("▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 149: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 150: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 152: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 153: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 154: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 155: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 156: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 157: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 158: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 159: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 160: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 161: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 162: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 163: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 164: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 165: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 166: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 167: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 168: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 169: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 170: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 172: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 173: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 174: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 175: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 171: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 176: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 177: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 178: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 179: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 180: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 181: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 182: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 183: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 184: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 185: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 186: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 187: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 188: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 189: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 190: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 191: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 192: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 193: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 194: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 195: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 196: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 197: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 198: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 199: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 200: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 201: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 202: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 203: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 204: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 205: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 206: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 207: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 208: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 209: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 210: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 211: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 212: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 213: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 214: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 215: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 216: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255968: AddedToken("[toxicity=0]", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255969: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255970: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255971: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255972: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255973: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255974: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255975: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255976: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255977: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255978: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255979: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255980: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255981: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255982: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255983: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255984: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255985: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255986: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255987: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255988: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255989: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255990: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255991: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255992: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255993: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255994: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255995: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255996: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255997: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255998: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255999: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), +}) + +{ + "image_processor": { + "do_convert_rgb": null, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_processor_type": "SiglipImageProcessor", + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "resample": 2, + "rescale_factor": 0.00392156862745098, + "size": { + "height": 256, + "width": 256 + } + }, + "processor_class": "SiglipProcessor" +} + +{'layer0': 'cd', 'layer1': 'ad', 'layer2': 'rd', 'layer3': 'cv', 'layer4': 'cd', 'layer5': 'ad', 'layer6': 'rd', 'layer7': 'cv', 'layer8': 'cd', 'layer9': 'ad', 'layer10': 'rd', 'layer11': 'cv', 'layer12': 'cd', 'layer13': 'ad', 'layer14': 'rd', 'layer15': 'cv'} +initialization done +{'layer0': 'cd', 'layer1': 'ad', 'layer2': 'rd', 'layer3': 'cv', 'layer4': 'cd', 'layer5': 'ad', 'layer6': 'rd', 'layer7': 'cv', 'layer8': 'cd', 'layer9': 'ad', 'layer10': 'rd', 'layer11': 'cv', 'layer12': 'cd', 'layer13': 'ad', 'layer14': 'rd', 'layer15': 'cv'} +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/teachers/siglip2-large-patch16-256/config.json +`text_config` is `None`. Initializing the `SiglipTextConfig` with default values. +`vision_config` is `None`. initializing the `SiglipVisionConfig` with default values. +Model config SiglipConfig { + "initializer_factor": 1.0, + "model_type": "siglip", + "text_config": { + "attention_dropout": 0.0, + "bos_token_id": 49406, + "eos_token_id": 49407, + "hidden_act": "gelu_pytorch_tanh", + "hidden_size": 1024, + "intermediate_size": 4096, + "layer_norm_eps": 1e-06, + "max_position_embeddings": 64, + "model_type": "siglip_text_model", + "num_attention_heads": 16, + "num_hidden_layers": 24, + "pad_token_id": 1, + "projection_size": 1024, + "vocab_size": 256000 + }, + "transformers_version": "5.6.0.dev0", + "vision_config": { + "attention_dropout": 0.0, + "hidden_act": "gelu_pytorch_tanh", + "hidden_size": 1024, + "image_size": 256, + "intermediate_size": 4096, + "layer_norm_eps": 1e-06, + "model_type": "siglip_vision_model", + "num_attention_heads": 16, + "num_channels": 3, + "num_hidden_layers": 24, + "patch_size": 16 + } +} + +loading weights file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/teachers/siglip2-large-patch16-256/model.safetensors +Since the `dtype` attribute can't be found in model's config object, will use dtype={dtype} as derived from model's weights + Loading weights: 0%| | 0/792 [00:00', 'eos_token': '', 'unk_token': '', 'pad_token': ''}, added_tokens_decoder={ + 0: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 1: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 2: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 3: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 4: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 5: AddedToken("<2mass>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 6: AddedToken("[@BOS@]", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 7: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 8: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 9: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 10: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 11: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 12: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 13: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 14: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 15: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 16: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 17: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 18: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 19: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 20: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 21: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 22: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 23: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 24: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 25: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 26: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 27: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 28: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 29: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 30: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 31: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 32: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 33: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 34: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 35: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 36: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 37: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 38: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 39: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 40: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 41: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 42: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 43: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 44: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 45: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 46: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 47: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 48: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 49: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 50: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 51: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 52: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 53: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 54: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 55: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 56: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 57: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 58: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 59: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 60: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 61: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 62: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 63: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 64: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 65: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 66: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 67: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 68: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 69: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 70: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 71: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 72: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 73: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 74: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 75: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 76: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 77: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 78: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 79: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 80: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 81: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 82: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 83: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 84: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 85: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 86: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 87: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 88: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 89: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 90: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 91: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 92: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 93: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 94: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 95: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 96: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 97: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 98: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 99: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 100: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 101: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 102: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 103: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 104: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 105: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 106: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 107: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 108: AddedToken(" +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 109: AddedToken(" + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 110: AddedToken(" + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 111: AddedToken(" + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 112: AddedToken(" + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 113: AddedToken(" + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 114: AddedToken(" + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 115: AddedToken(" + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 116: AddedToken(" + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 117: AddedToken(" + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 118: AddedToken(" + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 119: AddedToken(" + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 120: AddedToken(" + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 121: AddedToken(" + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 122: AddedToken(" + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 123: AddedToken(" + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 124: AddedToken(" + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 125: AddedToken(" + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 126: AddedToken(" + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 127: AddedToken(" + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 128: AddedToken(" + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 129: AddedToken(" + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 130: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 131: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 132: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 133: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 134: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 135: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 136: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 137: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 138: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 139: AddedToken("▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 140: AddedToken("▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 141: AddedToken("▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 142: AddedToken("▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 143: AddedToken("▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 144: AddedToken("▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 145: AddedToken("▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 146: AddedToken("▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 147: AddedToken("▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 148: AddedToken("▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 149: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 150: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 152: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 153: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 154: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 155: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 156: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 157: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 158: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 159: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 160: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 161: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 162: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 163: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 164: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 165: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 166: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 167: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 168: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 169: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 170: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 172: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 173: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 174: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 175: AddedToken("
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single_word=False, normalized=False, special=False), + 212: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 213: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 214: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 215: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 216: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255968: AddedToken("[toxicity=0]", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255969: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255970: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255971: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255972: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255973: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255974: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255975: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255976: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255977: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255978: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255979: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255980: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255981: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255982: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255983: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255984: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255985: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255986: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255987: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255988: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255989: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255990: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255991: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255992: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255993: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255994: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255995: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255996: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255997: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255998: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255999: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), +}) + +{ + "image_processor": { + "do_convert_rgb": null, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_processor_type": "SiglipImageProcessor", + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "resample": 2, + "rescale_factor": 0.00392156862745098, + "size": { + "height": 256, + "width": 256 + } + }, + "processor_class": "SiglipProcessor" +} + +{'layer0': 'cd', 'layer1': 'ad', 'layer2': 'rd', 'layer3': 'cv', 'layer4': 'cd', 'layer5': 'ad', 'layer6': 'rd', 'layer7': 'cv', 'layer8': 'cd', 'layer9': 'ad', 'layer10': 'rd', 'layer11': 'cv', 'layer12': 'cd', 'layer13': 'ad', 'layer14': 'rd', 'layer15': 'cv'} +initialization done +{'layer0': 'cd', 'layer1': 'ad', 'layer2': 'rd', 'layer3': 'cv', 'layer4': 'cd', 'layer5': 'ad', 'layer6': 'rd', 'layer7': 'cv', 'layer8': 'cd', 'layer9': 'ad', 'layer10': 'rd', 'layer11': 'cv', 'layer12': 'cd', 'layer13': 'ad', 'layer14': 'rd', 'layer15': 'cv'} +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/teachers/siglip2-large-patch16-256/config.json +`text_config` is `None`. Initializing the `SiglipTextConfig` with default values. +`vision_config` is `None`. initializing the `SiglipVisionConfig` with default values. +Model config SiglipConfig { + "initializer_factor": 1.0, + "model_type": "siglip", + "text_config": { + "attention_dropout": 0.0, + "bos_token_id": 49406, + "eos_token_id": 49407, + "hidden_act": "gelu_pytorch_tanh", + "hidden_size": 1024, + "intermediate_size": 4096, + "layer_norm_eps": 1e-06, + "max_position_embeddings": 64, + "model_type": "siglip_text_model", + "num_attention_heads": 16, + "num_hidden_layers": 24, + "pad_token_id": 1, + "projection_size": 1024, + "vocab_size": 256000 + }, + "transformers_version": "5.6.0.dev0", + "vision_config": { + "attention_dropout": 0.0, + "hidden_act": "gelu_pytorch_tanh", + "hidden_size": 1024, + "image_size": 256, + "intermediate_size": 4096, + "layer_norm_eps": 1e-06, + "model_type": "siglip_vision_model", + "num_attention_heads": 16, + "num_channels": 3, + "num_hidden_layers": 24, + "patch_size": 16 + } +} + +loading weights file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/teachers/siglip2-large-patch16-256/model.safetensors +Since the `dtype` attribute can't be found in model's config object, will use dtype={dtype} as derived from model's weights + Loading weights: 0%| | 0/792 [00:00', 'eos_token': '', 'unk_token': '', 'pad_token': ''}, added_tokens_decoder={ + 0: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 1: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 2: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 3: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 4: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 5: AddedToken("<2mass>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 6: AddedToken("[@BOS@]", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 7: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 8: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 9: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 10: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 11: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 12: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 13: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 14: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 15: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 16: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 17: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 18: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 19: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 20: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 21: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 22: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 23: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 24: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 25: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 26: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 27: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 28: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 29: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 30: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 31: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 32: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 33: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 34: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 35: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 36: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 37: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 38: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 39: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 40: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 41: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 42: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 43: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 44: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 45: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 46: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 47: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 48: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 49: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 50: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 51: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 52: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 53: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 54: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 55: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 56: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 57: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 58: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 59: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 60: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 61: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 62: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 63: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 64: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 65: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 66: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 67: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 68: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 69: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 70: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 71: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 72: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 73: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 74: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 75: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 76: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 77: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 78: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 79: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 80: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 81: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 82: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 83: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 84: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 85: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 86: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 87: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 88: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 89: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 90: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 91: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 92: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 93: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 94: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 95: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 96: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 97: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 98: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 99: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 100: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 101: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 102: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 103: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 104: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 105: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 106: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 107: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 108: AddedToken(" +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 109: AddedToken(" + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 110: AddedToken(" + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 111: AddedToken(" + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 112: AddedToken(" + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 113: AddedToken(" + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 114: AddedToken(" + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 115: AddedToken(" + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 116: AddedToken(" + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 117: AddedToken(" + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 118: AddedToken(" + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 119: AddedToken(" + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 120: AddedToken(" + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 121: AddedToken(" + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 122: AddedToken(" + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 123: AddedToken(" + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 124: AddedToken(" + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 125: AddedToken(" + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 126: AddedToken(" + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 127: AddedToken(" + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 128: AddedToken(" + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 129: AddedToken(" + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 130: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 131: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 132: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 133: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 134: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 135: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 136: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 137: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 138: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 139: AddedToken("▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 140: AddedToken("▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 141: AddedToken("▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 142: AddedToken("▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 143: AddedToken("▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 144: AddedToken("▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 145: AddedToken("▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 146: AddedToken("▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 147: AddedToken("▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 148: AddedToken("▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 149: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 150: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 152: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 153: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 154: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 155: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 156: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 157: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 158: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 159: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 160: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 161: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 162: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 163: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 164: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 165: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 166: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 167: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 168: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 169: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 170: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 172: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 173: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 174: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 175: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 171: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 176: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 177: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 178: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 179: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 180: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 181: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 182: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 183: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 184: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 185: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 186: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 187: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 188: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 189: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 190: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 191: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 192: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 193: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 194: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 195: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 196: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 197: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 198: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 199: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 200: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 201: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 202: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 203: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 204: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 205: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 206: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 207: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 208: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 209: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 210: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 211: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 212: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 213: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 214: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 215: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 216: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255968: AddedToken("[toxicity=0]", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255969: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255970: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255971: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255972: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255973: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255974: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255975: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255976: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255977: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255978: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255979: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255980: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255981: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255982: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255983: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255984: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255985: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255986: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255987: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255988: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255989: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255990: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255991: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255992: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255993: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255994: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255995: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255996: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255997: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255998: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255999: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), +}) + +{ + "image_processor": { + "do_convert_rgb": null, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_processor_type": "SiglipImageProcessor", + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "resample": 2, + "rescale_factor": 0.00392156862745098, + "size": { + "height": 256, + "width": 256 + } + }, + "processor_class": "SiglipProcessor" +} + +{'layer0': 'cd', 'layer1': 'ad', 'layer2': 'rd', 'layer3': 'cv', 'layer4': 'cd', 'layer5': 'ad', 'layer6': 'rd', 'layer7': 'cv', 'layer8': 'cd', 'layer9': 'ad', 'layer10': 'rd', 'layer11': 'cv', 'layer12': 'cd', 'layer13': 'ad', 'layer14': 'rd', 'layer15': 'cv'} +initialization done +{'layer0': 'cd', 'layer1': 'ad', 'layer2': 'rd', 'layer3': 'cv', 'layer4': 'cd', 'layer5': 'ad', 'layer6': 'rd', 'layer7': 'cv', 'layer8': 'cd', 'layer9': 'ad', 'layer10': 'rd', 'layer11': 'cv', 'layer12': 'cd', 'layer13': 'ad', 'layer14': 'rd', 'layer15': 'cv'} +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/teachers/siglip2-large-patch16-256/config.json +`text_config` is `None`. Initializing the `SiglipTextConfig` with default values. +`vision_config` is `None`. initializing the `SiglipVisionConfig` with default values. +Model config SiglipConfig { + "initializer_factor": 1.0, + "model_type": "siglip", + "text_config": { + "attention_dropout": 0.0, + "bos_token_id": 49406, + "eos_token_id": 49407, + "hidden_act": "gelu_pytorch_tanh", + "hidden_size": 1024, + "intermediate_size": 4096, + "layer_norm_eps": 1e-06, + "max_position_embeddings": 64, + "model_type": "siglip_text_model", + "num_attention_heads": 16, + "num_hidden_layers": 24, + "pad_token_id": 1, + "projection_size": 1024, + "vocab_size": 256000 + }, + "transformers_version": "5.6.0.dev0", + "vision_config": { + "attention_dropout": 0.0, + "hidden_act": "gelu_pytorch_tanh", + "hidden_size": 1024, + "image_size": 256, + "intermediate_size": 4096, + "layer_norm_eps": 1e-06, + "model_type": "siglip_vision_model", + "num_attention_heads": 16, + "num_channels": 3, + "num_hidden_layers": 24, + "patch_size": 16 + } +} + +loading weights file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/teachers/siglip2-large-patch16-256/model.safetensors +Since the `dtype` attribute can't be found in model's config object, will use dtype={dtype} as derived from model's weights + Loading weights: 0%| | 0/792 [00:00', 'eos_token': '', 'unk_token': '', 'pad_token': ''}, added_tokens_decoder={ + 0: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 1: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 2: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 3: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 4: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 5: AddedToken("<2mass>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 6: AddedToken("[@BOS@]", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 7: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 8: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 9: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 10: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 11: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 12: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 13: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 14: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 15: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 16: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 17: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 18: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 19: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 20: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 21: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 22: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 23: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 24: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 25: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 26: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 27: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 28: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 29: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 30: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 31: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 32: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 33: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 34: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 35: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 36: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 37: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 38: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 39: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 40: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 41: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 42: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 43: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 44: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 45: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 46: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 47: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 48: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 49: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 50: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 51: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 52: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 53: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 54: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 55: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 56: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 57: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 58: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 59: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 60: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 61: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 62: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 63: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 64: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 65: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 66: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 67: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 68: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 69: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 70: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 71: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 72: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 73: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 74: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 75: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 76: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 77: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 78: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 79: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 80: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 81: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 82: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 83: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 84: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 85: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 86: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 87: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 88: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 89: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 90: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 91: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 92: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 93: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 94: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 95: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 96: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 97: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 98: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 99: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 100: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 101: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 102: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 103: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 104: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 105: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 106: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 107: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 108: AddedToken(" +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 109: AddedToken(" + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 110: AddedToken(" + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 111: AddedToken(" + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 112: AddedToken(" + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 113: AddedToken(" + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 114: AddedToken(" + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 115: AddedToken(" + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 116: AddedToken(" + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 117: AddedToken(" + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 118: AddedToken(" + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 119: AddedToken(" + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 120: AddedToken(" + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 121: AddedToken(" + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 122: AddedToken(" + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 123: AddedToken(" + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 124: AddedToken(" + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 125: AddedToken(" + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 126: AddedToken(" + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 127: AddedToken(" + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 128: AddedToken(" + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 129: AddedToken(" + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 130: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 131: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 132: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 133: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 134: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 135: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 136: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 137: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 138: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 139: AddedToken("▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 140: AddedToken("▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 141: AddedToken("▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 142: AddedToken("▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 143: AddedToken("▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 144: AddedToken("▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 145: AddedToken("▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 146: AddedToken("▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 147: AddedToken("▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 148: AddedToken("▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 149: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 150: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 152: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 153: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 154: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 155: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 156: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 157: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 158: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 159: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 160: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 161: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 162: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 163: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 164: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 165: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 166: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 167: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 168: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 169: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 170: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 172: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 173: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 174: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 175: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 171: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 176: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 177: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 178: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 179: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 180: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 181: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 182: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 183: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 184: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 185: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 186: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 187: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 188: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 189: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 190: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 191: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 192: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 193: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 194: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 195: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 196: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 197: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 198: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 199: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 200: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 201: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 202: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 203: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 204: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 205: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 206: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 207: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 208: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 209: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 210: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 211: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 212: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 213: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 214: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 215: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 216: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255968: AddedToken("[toxicity=0]", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255969: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255970: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255971: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255972: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255973: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255974: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255975: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255976: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255977: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255978: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255979: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255980: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255981: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255982: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255983: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255984: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255985: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255986: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255987: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255988: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255989: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255990: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255991: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255992: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255993: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255994: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255995: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255996: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255997: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255998: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255999: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), +}) + +{ + "image_processor": { + "do_convert_rgb": null, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_processor_type": "SiglipImageProcessor", + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "resample": 2, + "rescale_factor": 0.00392156862745098, + "size": { + "height": 256, + "width": 256 + } + }, + "processor_class": "SiglipProcessor" +} + +{'layer0': 'cd', 'layer1': 'ad', 'layer2': 'rd', 'layer3': 'cv', 'layer4': 'cd', 'layer5': 'ad', 'layer6': 'rd', 'layer7': 'cv', 'layer8': 'cd', 'layer9': 'ad', 'layer10': 'rd', 'layer11': 'cv', 'layer12': 'cd', 'layer13': 'ad', 'layer14': 'rd', 'layer15': 'cv'} +initialization done +{'layer0': 'cd', 'layer1': 'ad', 'layer2': 'rd', 'layer3': 'cv', 'layer4': 'cd', 'layer5': 'ad', 'layer6': 'rd', 'layer7': 'cv', 'layer8': 'cd', 'layer9': 'ad', 'layer10': 'rd', 'layer11': 'cv', 'layer12': 'cd', 'layer13': 'ad', 'layer14': 'rd', 'layer15': 'cv'} +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/teachers/siglip2-large-patch16-256/config.json +`text_config` is `None`. Initializing the `SiglipTextConfig` with default values. +`vision_config` is `None`. initializing the `SiglipVisionConfig` with default values. +Model config SiglipConfig { + "initializer_factor": 1.0, + "model_type": "siglip", + "text_config": { + "attention_dropout": 0.0, + "bos_token_id": 49406, + "eos_token_id": 49407, + "hidden_act": "gelu_pytorch_tanh", + "hidden_size": 1024, + "intermediate_size": 4096, + "layer_norm_eps": 1e-06, + "max_position_embeddings": 64, + "model_type": "siglip_text_model", + "num_attention_heads": 16, + "num_hidden_layers": 24, + "pad_token_id": 1, + "projection_size": 1024, + "vocab_size": 256000 + }, + "transformers_version": "5.6.0.dev0", + "vision_config": { + "attention_dropout": 0.0, + "hidden_act": "gelu_pytorch_tanh", + "hidden_size": 1024, + "image_size": 256, + "intermediate_size": 4096, + "layer_norm_eps": 1e-06, + "model_type": "siglip_vision_model", + "num_attention_heads": 16, + "num_channels": 3, + "num_hidden_layers": 24, + "patch_size": 16 + } +} + +loading weights file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/teachers/siglip2-large-patch16-256/model.safetensors +Since the `dtype` attribute can't be found in model's config object, will use dtype={dtype} as derived from model's weights + Loading weights: 0%| | 0/792 [00:00', 'eos_token': '', 'unk_token': '', 'pad_token': ''}, added_tokens_decoder={ + 0: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 1: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 2: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 3: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 4: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 5: AddedToken("<2mass>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 6: AddedToken("[@BOS@]", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 7: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 8: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 9: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 10: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 11: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 12: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 13: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 14: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 15: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 16: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 17: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 18: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 19: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 20: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 21: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 22: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 23: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 24: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 25: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 26: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 27: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 28: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 29: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 30: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 31: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 32: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 33: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 34: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 35: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 36: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 37: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 38: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 39: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 40: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 41: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 42: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 43: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 44: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 45: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 46: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 47: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 48: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 49: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 50: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 51: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 52: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 53: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 54: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 55: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 56: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 57: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 58: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 59: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 60: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 61: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 62: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 63: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 64: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 65: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 66: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 67: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 68: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 69: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 70: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 71: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 72: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 73: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 74: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 75: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 76: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 77: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 78: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 79: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 80: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 81: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 82: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 83: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 84: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 85: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 86: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 87: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 88: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 89: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 90: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 91: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 92: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 93: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 94: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 95: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 96: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 97: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 98: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 99: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 100: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 101: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 102: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 103: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 104: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 105: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 106: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 107: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 108: AddedToken(" +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 109: AddedToken(" + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 110: AddedToken(" + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 111: AddedToken(" + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 112: AddedToken(" + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 113: AddedToken(" + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 114: AddedToken(" + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 115: AddedToken(" + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 116: AddedToken(" + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 117: AddedToken(" + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 118: AddedToken(" + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 119: AddedToken(" + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 120: AddedToken(" + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 121: AddedToken(" + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 122: AddedToken(" + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 123: AddedToken(" + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 124: AddedToken(" + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 125: AddedToken(" + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 126: AddedToken(" + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 127: AddedToken(" + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 128: AddedToken(" + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 129: AddedToken(" + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 130: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 131: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 132: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 133: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 134: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 135: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 136: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 137: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 138: AddedToken(" + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 139: AddedToken("▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 140: AddedToken("▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 141: AddedToken("▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 142: AddedToken("▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 143: AddedToken("▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 144: AddedToken("▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 145: AddedToken("▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 146: AddedToken("▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 147: AddedToken("▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 148: AddedToken("▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 149: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 150: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 152: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 153: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 154: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 155: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 156: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 157: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 158: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 159: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 160: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 161: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 162: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 163: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 164: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 165: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 166: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 167: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 168: AddedToken("▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 169: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 170: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 172: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 173: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 174: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 175: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 171: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 176: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 177: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 178: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 179: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 180: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 181: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 182: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 183: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 184: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 185: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 186: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 187: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 188: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 189: AddedToken("

", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 190: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 191: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 192: AddedToken("
", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 193: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 194: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 195: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 196: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 197: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 198: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 199: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 200: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 201: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 202: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 203: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 204: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 205: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 206: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 207: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 208: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 209: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 210: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 211: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 212: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 213: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 214: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 215: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 216: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255968: AddedToken("[toxicity=0]", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255969: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255970: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255971: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255972: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255973: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255974: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255975: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255976: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255977: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255978: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255979: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255980: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255981: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255982: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255983: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255984: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255985: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255986: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255987: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255988: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255989: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255990: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255991: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255992: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255993: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255994: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255995: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255996: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255997: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255998: AddedToken(" ", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 255999: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), +}) + +{ + "image_processor": { + "do_convert_rgb": null, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_processor_type": "SiglipImageProcessor", + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "resample": 2, + "rescale_factor": 0.00392156862745098, + "size": { + "height": 256, + "width": 256 + } + }, + "processor_class": "SiglipProcessor" +} + +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/preprocessor_config.json +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/preprocessor_config.json +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/preprocessor_config.json +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/preprocessor_config.json +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/preprocessor_config.json +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/preprocessor_config.json +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/preprocessor_config.json +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/preprocessor_config.json +loading configuration file None +loading configuration file None +loading configuration file None +loading configuration file None +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/preprocessor_config.json +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/preprocessor_config.json +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/preprocessor_config.json +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/preprocessor_config.json +loading configuration file None +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/preprocessor_config.json +loading configuration file None +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/preprocessor_config.json +loading configuration file None +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/preprocessor_config.json +loading configuration file None +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/preprocessor_config.json +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/preprocessor_config.json +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/preprocessor_config.json +Image processor Qwen2VLImageProcessor { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_processor_type": "Qwen2VLImageProcessor", + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "merge_size": 2, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "size": { + "longest_edge": 16777216, + "shortest_edge": 65536 + }, + "temporal_patch_size": 2 +} + +Image processor Qwen2VLImageProcessor { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_processor_type": "Qwen2VLImageProcessor", + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "merge_size": 2, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "size": { + "longest_edge": 16777216, + "shortest_edge": 65536 + }, + "temporal_patch_size": 2 +} + +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/config.json +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/preprocessor_config.json +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/config.json +Image processor Qwen2VLImageProcessor { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_processor_type": "Qwen2VLImageProcessor", + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "merge_size": 2, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "size": { + "longest_edge": 16777216, + "shortest_edge": 65536 + }, + "temporal_patch_size": 2 +} + +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/preprocessor_config.json +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/config.json +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/preprocessor_config.json +Image processor Qwen2VLImageProcessor { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_processor_type": "Qwen2VLImageProcessor", + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "merge_size": 2, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "size": { + "longest_edge": 16777216, + "shortest_edge": 65536 + }, + "temporal_patch_size": 2 +} + +Image processor Qwen2VLImageProcessor { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_processor_type": "Qwen2VLImageProcessor", + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "merge_size": 2, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "size": { + "longest_edge": 16777216, + "shortest_edge": 65536 + }, + "temporal_patch_size": 2 +} + +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/preprocessor_config.json +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/config.json +Image processor Qwen2VLImageProcessor { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_processor_type": "Qwen2VLImageProcessor", + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "merge_size": 2, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "size": { + "longest_edge": 16777216, + "shortest_edge": 65536 + }, + "temporal_patch_size": 2 +} + +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/config.json +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/config.json +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/preprocessor_config.json +Image processor Qwen2VLImageProcessor { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_processor_type": "Qwen2VLImageProcessor", + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "merge_size": 2, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "size": { + "longest_edge": 16777216, + "shortest_edge": 65536 + }, + "temporal_patch_size": 2 +} + +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/config.json +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/preprocessor_config.json +Image processor Qwen2VLImageProcessor { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_processor_type": "Qwen2VLImageProcessor", + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "merge_size": 2, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "size": { + "longest_edge": 16777216, + "shortest_edge": 65536 + }, + "temporal_patch_size": 2 +} + +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/config.json +Model config Qwen3VLConfig { + "architectures": [ + "Qwen3VLForConditionalGeneration" + ], + "image_token_id": 151655, + "model_type": "qwen3_vl", + "text_config": { + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "bfloat16", + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 2560, + "initializer_range": 0.02, + "intermediate_size": 9728, + "max_position_embeddings": 262144, + "model_type": "qwen3_vl_text", + "num_attention_heads": 32, + "num_hidden_layers": 36, + "num_key_value_heads": 8, + "pad_token_id": null, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "mrope_interleaved": true, + "mrope_section": [ + 24, + 20, + 20 + ], + "rope_theta": 5000000, + "rope_type": "default" + }, + "tie_word_embeddings": true, + "use_cache": true, + "vocab_size": 151936 + }, + "tie_word_embeddings": true, + "transformers_version": "5.6.0.dev0", + "video_token_id": 151656, + "vision_config": { + "deepstack_visual_indexes": [ + 5, + 11, + 17 + ], + "depth": 24, + "hidden_act": "gelu_pytorch_tanh", + "hidden_size": 1024, + "in_channels": 3, + "initializer_range": 0.02, + "intermediate_size": 4096, + "model_type": "qwen3_vl", + "num_heads": 16, + "num_position_embeddings": 2304, + "out_hidden_size": 2560, + "patch_size": 16, + "spatial_merge_size": 2, + "temporal_patch_size": 2 + }, + "vision_end_token_id": 151653, + "vision_start_token_id": 151652 +} + +Model config Qwen3VLConfig { + "architectures": [ + "Qwen3VLForConditionalGeneration" + ], + "image_token_id": 151655, + "model_type": "qwen3_vl", + "text_config": { + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "bfloat16", + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 2560, + "initializer_range": 0.02, + "intermediate_size": 9728, + "max_position_embeddings": 262144, + "model_type": "qwen3_vl_text", + "num_attention_heads": 32, + "num_hidden_layers": 36, + "num_key_value_heads": 8, + "pad_token_id": null, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "mrope_interleaved": true, + "mrope_section": [ + 24, + 20, + 20 + ], + "rope_theta": 5000000, + "rope_type": "default" + }, + "tie_word_embeddings": true, + "use_cache": true, + "vocab_size": 151936 + }, + "tie_word_embeddings": true, + "transformers_version": "5.6.0.dev0", + "video_token_id": 151656, + "vision_config": { + "deepstack_visual_indexes": [ + 5, + 11, + 17 + ], + "depth": 24, + "hidden_act": "gelu_pytorch_tanh", + "hidden_size": 1024, + "in_channels": 3, + "initializer_range": 0.02, + "intermediate_size": 4096, + "model_type": "qwen3_vl", + "num_heads": 16, + "num_position_embeddings": 2304, + "out_hidden_size": 2560, + "patch_size": 16, + "spatial_merge_size": 2, + "temporal_patch_size": 2 + }, + "vision_end_token_id": 151653, + "vision_start_token_id": 151652 +} + +Model config Qwen3VLConfig { + "architectures": [ + "Qwen3VLForConditionalGeneration" + ], + "image_token_id": 151655, + "model_type": "qwen3_vl", + "text_config": { + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "bfloat16", + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 2560, + "initializer_range": 0.02, + "intermediate_size": 9728, + "max_position_embeddings": 262144, + "model_type": "qwen3_vl_text", + "num_attention_heads": 32, + "num_hidden_layers": 36, + "num_key_value_heads": 8, + "pad_token_id": null, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "mrope_interleaved": true, + "mrope_section": [ + 24, + 20, + 20 + ], + "rope_theta": 5000000, + "rope_type": "default" + }, + "tie_word_embeddings": true, + "use_cache": true, + "vocab_size": 151936 + }, + "tie_word_embeddings": true, + "transformers_version": "5.6.0.dev0", + "video_token_id": 151656, + "vision_config": { + "deepstack_visual_indexes": [ + 5, + 11, + 17 + ], + "depth": 24, + "hidden_act": "gelu_pytorch_tanh", + "hidden_size": 1024, + "in_channels": 3, + "initializer_range": 0.02, + "intermediate_size": 4096, + "model_type": "qwen3_vl", + "num_heads": 16, + "num_position_embeddings": 2304, + "out_hidden_size": 2560, + "patch_size": 16, + "spatial_merge_size": 2, + "temporal_patch_size": 2 + }, + "vision_end_token_id": 151653, + "vision_start_token_id": 151652 +} + +Model config Qwen3VLConfig { + "architectures": [ + "Qwen3VLForConditionalGeneration" + ], + "image_token_id": 151655, + "model_type": "qwen3_vl", + "text_config": { + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "bfloat16", + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 2560, + "initializer_range": 0.02, + "intermediate_size": 9728, + "max_position_embeddings": 262144, + "model_type": "qwen3_vl_text", + "num_attention_heads": 32, + "num_hidden_layers": 36, + "num_key_value_heads": 8, + "pad_token_id": null, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "mrope_interleaved": true, + "mrope_section": [ + 24, + 20, + 20 + ], + "rope_theta": 5000000, + "rope_type": "default" + }, + "tie_word_embeddings": true, + "use_cache": true, + "vocab_size": 151936 + }, + "tie_word_embeddings": true, + "transformers_version": "5.6.0.dev0", + "video_token_id": 151656, + "vision_config": { + "deepstack_visual_indexes": [ + 5, + 11, + 17 + ], + "depth": 24, + "hidden_act": "gelu_pytorch_tanh", + "hidden_size": 1024, + "in_channels": 3, + "initializer_range": 0.02, + "intermediate_size": 4096, + "model_type": "qwen3_vl", + "num_heads": 16, + "num_position_embeddings": 2304, + "out_hidden_size": 2560, + "patch_size": 16, + "spatial_merge_size": 2, + "temporal_patch_size": 2 + }, + "vision_end_token_id": 151653, + "vision_start_token_id": 151652 +} + +Model config Qwen3VLConfig { + "architectures": [ + "Qwen3VLForConditionalGeneration" + ], + "image_token_id": 151655, + "model_type": "qwen3_vl", + "text_config": { + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "bfloat16", + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 2560, + "initializer_range": 0.02, + "intermediate_size": 9728, + "max_position_embeddings": 262144, + "model_type": "qwen3_vl_text", + "num_attention_heads": 32, + "num_hidden_layers": 36, + "num_key_value_heads": 8, + "pad_token_id": null, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "mrope_interleaved": true, + "mrope_section": [ + 24, + 20, + 20 + ], + "rope_theta": 5000000, + "rope_type": "default" + }, + "tie_word_embeddings": true, + "use_cache": true, + "vocab_size": 151936 + }, + "tie_word_embeddings": true, + "transformers_version": "5.6.0.dev0", + "video_token_id": 151656, + "vision_config": { + "deepstack_visual_indexes": [ + 5, + 11, + 17 + ], + "depth": 24, + "hidden_act": "gelu_pytorch_tanh", + "hidden_size": 1024, + "in_channels": 3, + "initializer_range": 0.02, + "intermediate_size": 4096, + "model_type": "qwen3_vl", + "num_heads": 16, + "num_position_embeddings": 2304, + "out_hidden_size": 2560, + "patch_size": 16, + "spatial_merge_size": 2, + "temporal_patch_size": 2 + }, + "vision_end_token_id": 151653, + "vision_start_token_id": 151652 +} + +Model config Qwen3VLConfig { + "architectures": [ + "Qwen3VLForConditionalGeneration" + ], + "image_token_id": 151655, + "model_type": "qwen3_vl", + "text_config": { + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "bfloat16", + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 2560, + "initializer_range": 0.02, + "intermediate_size": 9728, + "max_position_embeddings": 262144, + "model_type": "qwen3_vl_text", + "num_attention_heads": 32, + "num_hidden_layers": 36, + "num_key_value_heads": 8, + "pad_token_id": null, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "mrope_interleaved": true, + "mrope_section": [ + 24, + 20, + 20 + ], + "rope_theta": 5000000, + "rope_type": "default" + }, + "tie_word_embeddings": true, + "use_cache": true, + "vocab_size": 151936 + }, + "tie_word_embeddings": true, + "transformers_version": "5.6.0.dev0", + "video_token_id": 151656, + "vision_config": { + "deepstack_visual_indexes": [ + 5, + 11, + 17 + ], + "depth": 24, + "hidden_act": "gelu_pytorch_tanh", + "hidden_size": 1024, + "in_channels": 3, + "initializer_range": 0.02, + "intermediate_size": 4096, + "model_type": "qwen3_vl", + "num_heads": 16, + "num_position_embeddings": 2304, + "out_hidden_size": 2560, + "patch_size": 16, + "spatial_merge_size": 2, + "temporal_patch_size": 2 + }, + "vision_end_token_id": 151653, + "vision_start_token_id": 151652 +} + +Model config Qwen3VLConfig { + "architectures": [ + "Qwen3VLForConditionalGeneration" + ], + "image_token_id": 151655, + "model_type": "qwen3_vl", + "text_config": { + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "bfloat16", + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 2560, + "initializer_range": 0.02, + "intermediate_size": 9728, + "max_position_embeddings": 262144, + "model_type": "qwen3_vl_text", + "num_attention_heads": 32, + "num_hidden_layers": 36, + "num_key_value_heads": 8, + "pad_token_id": null, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "mrope_interleaved": true, + "mrope_section": [ + 24, + 20, + 20 + ], + "rope_theta": 5000000, + "rope_type": "default" + }, + "tie_word_embeddings": true, + "use_cache": true, + "vocab_size": 151936 + }, + "tie_word_embeddings": true, + "transformers_version": "5.6.0.dev0", + "video_token_id": 151656, + "vision_config": { + "deepstack_visual_indexes": [ + 5, + 11, + 17 + ], + "depth": 24, + "hidden_act": "gelu_pytorch_tanh", + "hidden_size": 1024, + "in_channels": 3, + "initializer_range": 0.02, + "intermediate_size": 4096, + "model_type": "qwen3_vl", + "num_heads": 16, + "num_position_embeddings": 2304, + "out_hidden_size": 2560, + "patch_size": 16, + "spatial_merge_size": 2, + "temporal_patch_size": 2 + }, + "vision_end_token_id": 151653, + "vision_start_token_id": 151652 +} + +Model config Qwen3VLConfig { + "architectures": [ + "Qwen3VLForConditionalGeneration" + ], + "image_token_id": 151655, + "model_type": "qwen3_vl", + "text_config": { + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "bfloat16", + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 2560, + "initializer_range": 0.02, + "intermediate_size": 9728, + "max_position_embeddings": 262144, + "model_type": "qwen3_vl_text", + "num_attention_heads": 32, + "num_hidden_layers": 36, + "num_key_value_heads": 8, + "pad_token_id": null, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "mrope_interleaved": true, + "mrope_section": [ + 24, + 20, + 20 + ], + "rope_theta": 5000000, + "rope_type": "default" + }, + "tie_word_embeddings": true, + "use_cache": true, + "vocab_size": 151936 + }, + "tie_word_embeddings": true, + "transformers_version": "5.6.0.dev0", + "video_token_id": 151656, + "vision_config": { + "deepstack_visual_indexes": [ + 5, + 11, + 17 + ], + "depth": 24, + "hidden_act": "gelu_pytorch_tanh", + "hidden_size": 1024, + "in_channels": 3, + "initializer_range": 0.02, + "intermediate_size": 4096, + "model_type": "qwen3_vl", + "num_heads": 16, + "num_position_embeddings": 2304, + "out_hidden_size": 2560, + "patch_size": 16, + "spatial_merge_size": 2, + "temporal_patch_size": 2 + }, + "vision_end_token_id": 151653, + "vision_start_token_id": 151652 +} + +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/video_preprocessor_config.json +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/video_preprocessor_config.json +Video processor Qwen3VLVideoProcessor { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "do_sample_frames": true, + "fps": 2, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "max_frames": 768, + "merge_size": 2, + "min_frames": 4, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "return_metadata": false, + "size": { + "longest_edge": 25165824, + "shortest_edge": 4096 + }, + "temporal_patch_size": 2, + "video_processor_type": "Qwen3VLVideoProcessor" +} + +Processor Qwen3VLProcessor: +- image_processor: Qwen2VLImageProcessor { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_processor_type": "Qwen2VLImageProcessor", + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "merge_size": 2, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "size": { + "longest_edge": 16777216, + "shortest_edge": 65536 + }, + "temporal_patch_size": 2 +} + +- tokenizer: Qwen2Tokenizer(name_or_path='/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct', vocab_size=151643, model_max_length=262144, padding_side='right', truncation_side='right', special_tokens={'eos_token': '<|im_end|>', 'pad_token': '<|endoftext|>'}, added_tokens_decoder={ + 151643: AddedToken("<|endoftext|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151644: AddedToken("<|im_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151645: AddedToken("<|im_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151646: AddedToken("<|object_ref_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151647: AddedToken("<|object_ref_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151648: AddedToken("<|box_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151649: AddedToken("<|box_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151650: AddedToken("<|quad_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151651: AddedToken("<|quad_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151652: AddedToken("<|vision_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151653: AddedToken("<|vision_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151654: AddedToken("<|vision_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151655: AddedToken("<|image_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151656: AddedToken("<|video_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151657: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151658: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151659: AddedToken("<|fim_prefix|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151660: AddedToken("<|fim_middle|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151661: AddedToken("<|fim_suffix|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151662: AddedToken("<|fim_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151663: AddedToken("<|repo_name|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151664: AddedToken("<|file_sep|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151665: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151666: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151667: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151668: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), +}) +- video_processor: Qwen3VLVideoProcessor { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "do_sample_frames": true, + "fps": 2, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "max_frames": 768, + "merge_size": 2, + "min_frames": 4, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "return_metadata": false, + "size": { + "longest_edge": 25165824, + "shortest_edge": 4096 + }, + "temporal_patch_size": 2, + "video_processor_type": "Qwen3VLVideoProcessor" +} + + +{ + "image_processor": { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_processor_type": "Qwen2VLImageProcessor", + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "merge_size": 2, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "size": { + "longest_edge": 16777216, + "shortest_edge": 65536 + }, + "temporal_patch_size": 2 + }, + "processor_class": "Qwen3VLProcessor", + "video_processor": { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "do_sample_frames": true, + "fps": 2, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "max_frames": 768, + "merge_size": 2, + "min_frames": 4, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "return_metadata": false, + "size": { + "longest_edge": 25165824, + "shortest_edge": 4096 + }, + "temporal_patch_size": 2, + "video_processor_type": "Qwen3VLVideoProcessor" + } +} + +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/video_preprocessor_config.json +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/video_preprocessor_config.json +Video processor Qwen3VLVideoProcessor { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "do_sample_frames": true, + "fps": 2, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "max_frames": 768, + "merge_size": 2, + "min_frames": 4, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "return_metadata": false, + "size": { + "longest_edge": 25165824, + "shortest_edge": 4096 + }, + "temporal_patch_size": 2, + "video_processor_type": "Qwen3VLVideoProcessor" +} + +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/video_preprocessor_config.json +Processor Qwen3VLProcessor: +- image_processor: Qwen2VLImageProcessor { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_processor_type": "Qwen2VLImageProcessor", + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "merge_size": 2, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "size": { + "longest_edge": 16777216, + "shortest_edge": 65536 + }, + "temporal_patch_size": 2 +} + +- tokenizer: Qwen2Tokenizer(name_or_path='/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct', vocab_size=151643, model_max_length=262144, padding_side='right', truncation_side='right', special_tokens={'eos_token': '<|im_end|>', 'pad_token': '<|endoftext|>'}, added_tokens_decoder={ + 151643: AddedToken("<|endoftext|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151644: AddedToken("<|im_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151645: AddedToken("<|im_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151646: AddedToken("<|object_ref_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151647: AddedToken("<|object_ref_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151648: AddedToken("<|box_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151649: AddedToken("<|box_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151650: AddedToken("<|quad_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151651: AddedToken("<|quad_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151652: AddedToken("<|vision_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151653: AddedToken("<|vision_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151654: AddedToken("<|vision_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151655: AddedToken("<|image_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151656: AddedToken("<|video_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151657: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151658: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151659: AddedToken("<|fim_prefix|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151660: AddedToken("<|fim_middle|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151661: AddedToken("<|fim_suffix|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151662: AddedToken("<|fim_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151663: AddedToken("<|repo_name|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151664: AddedToken("<|file_sep|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151665: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151666: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151667: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151668: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), +}) +- video_processor: Qwen3VLVideoProcessor { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "do_sample_frames": true, + "fps": 2, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "max_frames": 768, + "merge_size": 2, + "min_frames": 4, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "return_metadata": false, + "size": { + "longest_edge": 25165824, + "shortest_edge": 4096 + }, + "temporal_patch_size": 2, + "video_processor_type": "Qwen3VLVideoProcessor" +} + + +{ + "image_processor": { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_processor_type": "Qwen2VLImageProcessor", + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "merge_size": 2, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "size": { + "longest_edge": 16777216, + "shortest_edge": 65536 + }, + "temporal_patch_size": 2 + }, + "processor_class": "Qwen3VLProcessor", + "video_processor": { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "do_sample_frames": true, + "fps": 2, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "max_frames": 768, + "merge_size": 2, + "min_frames": 4, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "return_metadata": false, + "size": { + "longest_edge": 25165824, + "shortest_edge": 4096 + }, + "temporal_patch_size": 2, + "video_processor_type": "Qwen3VLVideoProcessor" + } +} + +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/video_preprocessor_config.json +Video processor Qwen3VLVideoProcessor { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "do_sample_frames": true, + "fps": 2, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "max_frames": 768, + "merge_size": 2, + "min_frames": 4, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "return_metadata": false, + "size": { + "longest_edge": 25165824, + "shortest_edge": 4096 + }, + "temporal_patch_size": 2, + "video_processor_type": "Qwen3VLVideoProcessor" +} + +Processor Qwen3VLProcessor: +- image_processor: Qwen2VLImageProcessor { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_processor_type": "Qwen2VLImageProcessor", + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "merge_size": 2, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "size": { + "longest_edge": 16777216, + "shortest_edge": 65536 + }, + "temporal_patch_size": 2 +} + +- tokenizer: Qwen2Tokenizer(name_or_path='/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct', vocab_size=151643, model_max_length=262144, padding_side='right', truncation_side='right', special_tokens={'eos_token': '<|im_end|>', 'pad_token': '<|endoftext|>'}, added_tokens_decoder={ + 151643: AddedToken("<|endoftext|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151644: AddedToken("<|im_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151645: AddedToken("<|im_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151646: AddedToken("<|object_ref_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151647: AddedToken("<|object_ref_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151648: AddedToken("<|box_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151649: AddedToken("<|box_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151650: AddedToken("<|quad_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151651: AddedToken("<|quad_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151652: AddedToken("<|vision_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151653: AddedToken("<|vision_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151654: AddedToken("<|vision_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151655: AddedToken("<|image_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151656: AddedToken("<|video_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151657: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151658: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151659: AddedToken("<|fim_prefix|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151660: AddedToken("<|fim_middle|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151661: AddedToken("<|fim_suffix|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151662: AddedToken("<|fim_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151663: AddedToken("<|repo_name|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151664: AddedToken("<|file_sep|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151665: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151666: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151667: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151668: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), +}) +- video_processor: Qwen3VLVideoProcessor { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "do_sample_frames": true, + "fps": 2, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "max_frames": 768, + "merge_size": 2, + "min_frames": 4, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "return_metadata": false, + "size": { + "longest_edge": 25165824, + "shortest_edge": 4096 + }, + "temporal_patch_size": 2, + "video_processor_type": "Qwen3VLVideoProcessor" +} + + +{ + "image_processor": { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_processor_type": "Qwen2VLImageProcessor", + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "merge_size": 2, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "size": { + "longest_edge": 16777216, + "shortest_edge": 65536 + }, + "temporal_patch_size": 2 + }, + "processor_class": "Qwen3VLProcessor", + "video_processor": { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "do_sample_frames": true, + "fps": 2, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "max_frames": 768, + "merge_size": 2, + "min_frames": 4, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "return_metadata": false, + "size": { + "longest_edge": 25165824, + "shortest_edge": 4096 + }, + "temporal_patch_size": 2, + "video_processor_type": "Qwen3VLVideoProcessor" + } +} + +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/video_preprocessor_config.json +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/video_preprocessor_config.json +Video processor Qwen3VLVideoProcessor { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "do_sample_frames": true, + "fps": 2, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "max_frames": 768, + "merge_size": 2, + "min_frames": 4, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "return_metadata": false, + "size": { + "longest_edge": 25165824, + "shortest_edge": 4096 + }, + "temporal_patch_size": 2, + "video_processor_type": "Qwen3VLVideoProcessor" +} + +Processor Qwen3VLProcessor: +- image_processor: Qwen2VLImageProcessor { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_processor_type": "Qwen2VLImageProcessor", + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "merge_size": 2, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "size": { + "longest_edge": 16777216, + "shortest_edge": 65536 + }, + "temporal_patch_size": 2 +} + +- tokenizer: Qwen2Tokenizer(name_or_path='/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct', vocab_size=151643, model_max_length=262144, padding_side='right', truncation_side='right', special_tokens={'eos_token': '<|im_end|>', 'pad_token': '<|endoftext|>'}, added_tokens_decoder={ + 151643: AddedToken("<|endoftext|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151644: AddedToken("<|im_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151645: AddedToken("<|im_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151646: AddedToken("<|object_ref_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151647: AddedToken("<|object_ref_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151648: AddedToken("<|box_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151649: AddedToken("<|box_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151650: AddedToken("<|quad_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151651: AddedToken("<|quad_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151652: AddedToken("<|vision_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151653: AddedToken("<|vision_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151654: AddedToken("<|vision_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151655: AddedToken("<|image_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151656: AddedToken("<|video_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151657: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151658: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151659: AddedToken("<|fim_prefix|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151660: AddedToken("<|fim_middle|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151661: AddedToken("<|fim_suffix|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151662: AddedToken("<|fim_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151663: AddedToken("<|repo_name|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151664: AddedToken("<|file_sep|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151665: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151666: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151667: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151668: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), +}) +- video_processor: Qwen3VLVideoProcessor { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "do_sample_frames": true, + "fps": 2, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "max_frames": 768, + "merge_size": 2, + "min_frames": 4, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "return_metadata": false, + "size": { + "longest_edge": 25165824, + "shortest_edge": 4096 + }, + "temporal_patch_size": 2, + "video_processor_type": "Qwen3VLVideoProcessor" +} + + +{ + "image_processor": { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_processor_type": "Qwen2VLImageProcessor", + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "merge_size": 2, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "size": { + "longest_edge": 16777216, + "shortest_edge": 65536 + }, + "temporal_patch_size": 2 + }, + "processor_class": "Qwen3VLProcessor", + "video_processor": { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "do_sample_frames": true, + "fps": 2, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "max_frames": 768, + "merge_size": 2, + "min_frames": 4, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "return_metadata": false, + "size": { + "longest_edge": 25165824, + "shortest_edge": 4096 + }, + "temporal_patch_size": 2, + "video_processor_type": "Qwen3VLVideoProcessor" + } +} + +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/video_preprocessor_config.json +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/video_preprocessor_config.json +Video processor Qwen3VLVideoProcessor { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "do_sample_frames": true, + "fps": 2, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "max_frames": 768, + "merge_size": 2, + "min_frames": 4, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "return_metadata": false, + "size": { + "longest_edge": 25165824, + "shortest_edge": 4096 + }, + "temporal_patch_size": 2, + "video_processor_type": "Qwen3VLVideoProcessor" +} + +Processor Qwen3VLProcessor: +- image_processor: Qwen2VLImageProcessor { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_processor_type": "Qwen2VLImageProcessor", + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "merge_size": 2, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "size": { + "longest_edge": 16777216, + "shortest_edge": 65536 + }, + "temporal_patch_size": 2 +} + +- tokenizer: Qwen2Tokenizer(name_or_path='/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct', vocab_size=151643, model_max_length=262144, padding_side='right', truncation_side='right', special_tokens={'eos_token': '<|im_end|>', 'pad_token': '<|endoftext|>'}, added_tokens_decoder={ + 151643: AddedToken("<|endoftext|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151644: AddedToken("<|im_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151645: AddedToken("<|im_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151646: AddedToken("<|object_ref_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151647: AddedToken("<|object_ref_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151648: AddedToken("<|box_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151649: AddedToken("<|box_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151650: AddedToken("<|quad_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151651: AddedToken("<|quad_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151652: AddedToken("<|vision_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151653: AddedToken("<|vision_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151654: AddedToken("<|vision_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151655: AddedToken("<|image_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151656: AddedToken("<|video_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151657: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151658: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151659: AddedToken("<|fim_prefix|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151660: AddedToken("<|fim_middle|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151661: AddedToken("<|fim_suffix|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151662: AddedToken("<|fim_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151663: AddedToken("<|repo_name|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151664: AddedToken("<|file_sep|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151665: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151666: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151667: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151668: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), +}) +- video_processor: Qwen3VLVideoProcessor { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "do_sample_frames": true, + "fps": 2, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "max_frames": 768, + "merge_size": 2, + "min_frames": 4, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "return_metadata": false, + "size": { + "longest_edge": 25165824, + "shortest_edge": 4096 + }, + "temporal_patch_size": 2, + "video_processor_type": "Qwen3VLVideoProcessor" +} + + +{ + "image_processor": { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_processor_type": "Qwen2VLImageProcessor", + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "merge_size": 2, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "size": { + "longest_edge": 16777216, + "shortest_edge": 65536 + }, + "temporal_patch_size": 2 + }, + "processor_class": "Qwen3VLProcessor", + "video_processor": { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "do_sample_frames": true, + "fps": 2, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "max_frames": 768, + "merge_size": 2, + "min_frames": 4, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "return_metadata": false, + "size": { + "longest_edge": 25165824, + "shortest_edge": 4096 + }, + "temporal_patch_size": 2, + "video_processor_type": "Qwen3VLVideoProcessor" + } +} + +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/video_preprocessor_config.json +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/video_preprocessor_config.json +Video processor Qwen3VLVideoProcessor { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "do_sample_frames": true, + "fps": 2, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "max_frames": 768, + "merge_size": 2, + "min_frames": 4, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "return_metadata": false, + "size": { + "longest_edge": 25165824, + "shortest_edge": 4096 + }, + "temporal_patch_size": 2, + "video_processor_type": "Qwen3VLVideoProcessor" +} + +Processor Qwen3VLProcessor: +- image_processor: Qwen2VLImageProcessor { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_processor_type": "Qwen2VLImageProcessor", + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "merge_size": 2, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "size": { + "longest_edge": 16777216, + "shortest_edge": 65536 + }, + "temporal_patch_size": 2 +} + +- tokenizer: Qwen2Tokenizer(name_or_path='/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct', vocab_size=151643, model_max_length=262144, padding_side='right', truncation_side='right', special_tokens={'eos_token': '<|im_end|>', 'pad_token': '<|endoftext|>'}, added_tokens_decoder={ + 151643: AddedToken("<|endoftext|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151644: AddedToken("<|im_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151645: AddedToken("<|im_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151646: AddedToken("<|object_ref_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151647: AddedToken("<|object_ref_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151648: AddedToken("<|box_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151649: AddedToken("<|box_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151650: AddedToken("<|quad_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151651: AddedToken("<|quad_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151652: AddedToken("<|vision_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151653: AddedToken("<|vision_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151654: AddedToken("<|vision_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151655: AddedToken("<|image_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151656: AddedToken("<|video_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151657: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151658: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151659: AddedToken("<|fim_prefix|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151660: AddedToken("<|fim_middle|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151661: AddedToken("<|fim_suffix|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151662: AddedToken("<|fim_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151663: AddedToken("<|repo_name|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151664: AddedToken("<|file_sep|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151665: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151666: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151667: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151668: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), +}) +- video_processor: Qwen3VLVideoProcessor { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "do_sample_frames": true, + "fps": 2, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "max_frames": 768, + "merge_size": 2, + "min_frames": 4, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "return_metadata": false, + "size": { + "longest_edge": 25165824, + "shortest_edge": 4096 + }, + "temporal_patch_size": 2, + "video_processor_type": "Qwen3VLVideoProcessor" +} + + +{ + "image_processor": { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_processor_type": "Qwen2VLImageProcessor", + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "merge_size": 2, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "size": { + "longest_edge": 16777216, + "shortest_edge": 65536 + }, + "temporal_patch_size": 2 + }, + "processor_class": "Qwen3VLProcessor", + "video_processor": { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "do_sample_frames": true, + "fps": 2, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "max_frames": 768, + "merge_size": 2, + "min_frames": 4, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "return_metadata": false, + "size": { + "longest_edge": 25165824, + "shortest_edge": 4096 + }, + "temporal_patch_size": 2, + "video_processor_type": "Qwen3VLVideoProcessor" + } +} + +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/video_preprocessor_config.json +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/video_preprocessor_config.json +Video processor Qwen3VLVideoProcessor { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "do_sample_frames": true, + "fps": 2, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "max_frames": 768, + "merge_size": 2, + "min_frames": 4, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "return_metadata": false, + "size": { + "longest_edge": 25165824, + "shortest_edge": 4096 + }, + "temporal_patch_size": 2, + "video_processor_type": "Qwen3VLVideoProcessor" +} + +Processor Qwen3VLProcessor: +- image_processor: Qwen2VLImageProcessor { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_processor_type": "Qwen2VLImageProcessor", + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "merge_size": 2, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "size": { + "longest_edge": 16777216, + "shortest_edge": 65536 + }, + "temporal_patch_size": 2 +} + +- tokenizer: Qwen2Tokenizer(name_or_path='/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct', vocab_size=151643, model_max_length=262144, padding_side='right', truncation_side='right', special_tokens={'eos_token': '<|im_end|>', 'pad_token': '<|endoftext|>'}, added_tokens_decoder={ + 151643: AddedToken("<|endoftext|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151644: AddedToken("<|im_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151645: AddedToken("<|im_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151646: AddedToken("<|object_ref_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151647: AddedToken("<|object_ref_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151648: AddedToken("<|box_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151649: AddedToken("<|box_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151650: AddedToken("<|quad_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151651: AddedToken("<|quad_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151652: AddedToken("<|vision_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151653: AddedToken("<|vision_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151654: AddedToken("<|vision_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151655: AddedToken("<|image_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151656: AddedToken("<|video_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151657: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151658: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151659: AddedToken("<|fim_prefix|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151660: AddedToken("<|fim_middle|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151661: AddedToken("<|fim_suffix|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151662: AddedToken("<|fim_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151663: AddedToken("<|repo_name|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151664: AddedToken("<|file_sep|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151665: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151666: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151667: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151668: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), +}) +- video_processor: Qwen3VLVideoProcessor { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "do_sample_frames": true, + "fps": 2, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "max_frames": 768, + "merge_size": 2, + "min_frames": 4, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "return_metadata": false, + "size": { + "longest_edge": 25165824, + "shortest_edge": 4096 + }, + "temporal_patch_size": 2, + "video_processor_type": "Qwen3VLVideoProcessor" +} + + +{ + "image_processor": { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_processor_type": "Qwen2VLImageProcessor", + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "merge_size": 2, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "size": { + "longest_edge": 16777216, + "shortest_edge": 65536 + }, + "temporal_patch_size": 2 + }, + "processor_class": "Qwen3VLProcessor", + "video_processor": { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "do_sample_frames": true, + "fps": 2, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "max_frames": 768, + "merge_size": 2, + "min_frames": 4, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "return_metadata": false, + "size": { + "longest_edge": 25165824, + "shortest_edge": 4096 + }, + "temporal_patch_size": 2, + "video_processor_type": "Qwen3VLVideoProcessor" + } +} + +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/video_preprocessor_config.json +loading configuration file /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct/video_preprocessor_config.json +Video processor Qwen3VLVideoProcessor { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "do_sample_frames": true, + "fps": 2, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "max_frames": 768, + "merge_size": 2, + "min_frames": 4, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "return_metadata": false, + "size": { + "longest_edge": 25165824, + "shortest_edge": 4096 + }, + "temporal_patch_size": 2, + "video_processor_type": "Qwen3VLVideoProcessor" +} + +Processor Qwen3VLProcessor: +- image_processor: Qwen2VLImageProcessor { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_processor_type": "Qwen2VLImageProcessor", + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "merge_size": 2, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "size": { + "longest_edge": 16777216, + "shortest_edge": 65536 + }, + "temporal_patch_size": 2 +} + +- tokenizer: Qwen2Tokenizer(name_or_path='/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct', vocab_size=151643, model_max_length=262144, padding_side='right', truncation_side='right', special_tokens={'eos_token': '<|im_end|>', 'pad_token': '<|endoftext|>'}, added_tokens_decoder={ + 151643: AddedToken("<|endoftext|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151644: AddedToken("<|im_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151645: AddedToken("<|im_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151646: AddedToken("<|object_ref_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151647: AddedToken("<|object_ref_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151648: AddedToken("<|box_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151649: AddedToken("<|box_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151650: AddedToken("<|quad_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151651: AddedToken("<|quad_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151652: AddedToken("<|vision_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151653: AddedToken("<|vision_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151654: AddedToken("<|vision_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151655: AddedToken("<|image_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151656: AddedToken("<|video_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), + 151657: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151658: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151659: AddedToken("<|fim_prefix|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151660: AddedToken("<|fim_middle|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151661: AddedToken("<|fim_suffix|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151662: AddedToken("<|fim_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151663: AddedToken("<|repo_name|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151664: AddedToken("<|file_sep|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151665: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151666: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151667: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), + 151668: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=False), +}) +- video_processor: Qwen3VLVideoProcessor { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "do_sample_frames": true, + "fps": 2, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "max_frames": 768, + "merge_size": 2, + "min_frames": 4, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "return_metadata": false, + "size": { + "longest_edge": 25165824, + "shortest_edge": 4096 + }, + "temporal_patch_size": 2, + "video_processor_type": "Qwen3VLVideoProcessor" +} + + +{ + "image_processor": { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_processor_type": "Qwen2VLImageProcessor", + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "merge_size": 2, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "size": { + "longest_edge": 16777216, + "shortest_edge": 65536 + }, + "temporal_patch_size": 2 + }, + "processor_class": "Qwen3VLProcessor", + "video_processor": { + "do_convert_rgb": true, + "do_normalize": true, + "do_rescale": true, + "do_resize": true, + "do_sample_frames": true, + "fps": 2, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_std": [ + 0.5, + 0.5, + 0.5 + ], + "max_frames": 768, + "merge_size": 2, + "min_frames": 4, + "patch_size": 16, + "resample": 3, + "rescale_factor": 0.00392156862745098, + "return_metadata": false, + "size": { + "longest_edge": 25165824, + "shortest_edge": 4096 + }, + "temporal_patch_size": 2, + "video_processor_type": "Qwen3VLVideoProcessor" + } +} + +Found 357 lora modules: ['model.visual.pos_embed', 'model.visual.blocks.0.attn.qkv', 'model.visual.blocks.0.attn.proj', 'model.visual.blocks.0.mlp.linear_fc1', 'model.visual.blocks.0.mlp.linear_fc2', 'model.visual.blocks.1.attn.qkv', 'model.visual.blocks.1.attn.proj', 'model.visual.blocks.1.mlp.linear_fc1', 'model.visual.blocks.1.mlp.linear_fc2', 'model.visual.blocks.2.attn.qkv', 'model.visual.blocks.2.attn.proj', 'model.visual.blocks.2.mlp.linear_fc1', 'model.visual.blocks.2.mlp.linear_fc2', 'model.visual.blocks.3.attn.qkv', 'model.visual.blocks.3.attn.proj', 'model.visual.blocks.3.mlp.linear_fc1', 'model.visual.blocks.3.mlp.linear_fc2', 'model.visual.blocks.4.attn.qkv', 'model.visual.blocks.4.attn.proj', 'model.visual.blocks.4.mlp.linear_fc1', 'model.visual.blocks.4.mlp.linear_fc2', 'model.visual.blocks.5.attn.qkv', 'model.visual.blocks.5.attn.proj', 'model.visual.blocks.5.mlp.linear_fc1', 'model.visual.blocks.5.mlp.linear_fc2', 'model.visual.blocks.6.attn.qkv', 'model.visual.blocks.6.attn.proj', 'model.visual.blocks.6.mlp.linear_fc1', 'model.visual.blocks.6.mlp.linear_fc2', 'model.visual.blocks.7.attn.qkv', 'model.visual.blocks.7.attn.proj', 'model.visual.blocks.7.mlp.linear_fc1', 'model.visual.blocks.7.mlp.linear_fc2', 'model.visual.blocks.8.attn.qkv', 'model.visual.blocks.8.attn.proj', 'model.visual.blocks.8.mlp.linear_fc1', 'model.visual.blocks.8.mlp.linear_fc2', 'model.visual.blocks.9.attn.qkv', 'model.visual.blocks.9.attn.proj', 'model.visual.blocks.9.mlp.linear_fc1', 'model.visual.blocks.9.mlp.linear_fc2', 'model.visual.blocks.10.attn.qkv', 'model.visual.blocks.10.attn.proj', 'model.visual.blocks.10.mlp.linear_fc1', 'model.visual.blocks.10.mlp.linear_fc2', 'model.visual.blocks.11.attn.qkv', 'model.visual.blocks.11.attn.proj', 'model.visual.blocks.11.mlp.linear_fc1', 'model.visual.blocks.11.mlp.linear_fc2', 'model.visual.blocks.12.attn.qkv', 'model.visual.blocks.12.attn.proj', 'model.visual.blocks.12.mlp.linear_fc1', 'model.visual.blocks.12.mlp.linear_fc2', 'model.visual.blocks.13.attn.qkv', 'model.visual.blocks.13.attn.proj', 'model.visual.blocks.13.mlp.linear_fc1', 'model.visual.blocks.13.mlp.linear_fc2', 'model.visual.blocks.14.attn.qkv', 'model.visual.blocks.14.attn.proj', 'model.visual.blocks.14.mlp.linear_fc1', 'model.visual.blocks.14.mlp.linear_fc2', 'model.visual.blocks.15.attn.qkv', 'model.visual.blocks.15.attn.proj', 'model.visual.blocks.15.mlp.linear_fc1', 'model.visual.blocks.15.mlp.linear_fc2', 'model.visual.blocks.16.attn.qkv', 'model.visual.blocks.16.attn.proj', 'model.visual.blocks.16.mlp.linear_fc1', 'model.visual.blocks.16.mlp.linear_fc2', 'model.visual.blocks.17.attn.qkv', 'model.visual.blocks.17.attn.proj', 'model.visual.blocks.17.mlp.linear_fc1', 'model.visual.blocks.17.mlp.linear_fc2', 'model.visual.blocks.18.attn.qkv', 'model.visual.blocks.18.attn.proj', 'model.visual.blocks.18.mlp.linear_fc1', 'model.visual.blocks.18.mlp.linear_fc2', 'model.visual.blocks.19.attn.qkv', 'model.visual.blocks.19.attn.proj', 'model.visual.blocks.19.mlp.linear_fc1', 'model.visual.blocks.19.mlp.linear_fc2', 'model.visual.blocks.20.attn.qkv', 'model.visual.blocks.20.attn.proj', 'model.visual.blocks.20.mlp.linear_fc1', 'model.visual.blocks.20.mlp.linear_fc2', 'model.visual.blocks.21.attn.qkv', 'model.visual.blocks.21.attn.proj', 'model.visual.blocks.21.mlp.linear_fc1', 'model.visual.blocks.21.mlp.linear_fc2', 'model.visual.blocks.22.attn.qkv', 'model.visual.blocks.22.attn.proj', 'model.visual.blocks.22.mlp.linear_fc1', 'model.visual.blocks.22.mlp.linear_fc2', 'model.visual.blocks.23.attn.qkv', 'model.visual.blocks.23.attn.proj', 'model.visual.blocks.23.mlp.linear_fc1', 'model.visual.blocks.23.mlp.linear_fc2', 'model.visual.merger.linear_fc1', 'model.visual.merger.linear_fc2', 'model.visual.deepstack_merger_list.0.linear_fc1', 'model.visual.deepstack_merger_list.0.linear_fc2', 'model.visual.deepstack_merger_list.1.linear_fc1', 'model.visual.deepstack_merger_list.1.linear_fc2', 'model.visual.deepstack_merger_list.2.linear_fc1', 'model.visual.deepstack_merger_list.2.linear_fc2', 'model.language_model.layers.0.self_attn.q_proj', 'model.language_model.layers.0.self_attn.k_proj', 'model.language_model.layers.0.self_attn.v_proj', 'model.language_model.layers.0.self_attn.o_proj', 'model.language_model.layers.0.mlp.gate_proj', 'model.language_model.layers.0.mlp.up_proj', 'model.language_model.layers.0.mlp.down_proj', 'model.language_model.layers.1.self_attn.q_proj', 'model.language_model.layers.1.self_attn.k_proj', 'model.language_model.layers.1.self_attn.v_proj', 'model.language_model.layers.1.self_attn.o_proj', 'model.language_model.layers.1.mlp.gate_proj', 'model.language_model.layers.1.mlp.up_proj', 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'model.language_model.layers.33.self_attn.v_proj', 'model.language_model.layers.33.self_attn.o_proj', 'model.language_model.layers.33.mlp.gate_proj', 'model.language_model.layers.33.mlp.up_proj', 'model.language_model.layers.33.mlp.down_proj', 'model.language_model.layers.34.self_attn.q_proj', 'model.language_model.layers.34.self_attn.k_proj', 'model.language_model.layers.34.self_attn.v_proj', 'model.language_model.layers.34.self_attn.o_proj', 'model.language_model.layers.34.mlp.gate_proj', 'model.language_model.layers.34.mlp.up_proj', 'model.language_model.layers.34.mlp.down_proj', 'model.language_model.layers.35.self_attn.q_proj', 'model.language_model.layers.35.self_attn.k_proj', 'model.language_model.layers.35.self_attn.v_proj', 'model.language_model.layers.35.self_attn.o_proj', 'model.language_model.layers.35.mlp.gate_proj', 'model.language_model.layers.35.mlp.up_proj', 'model.language_model.layers.35.mlp.down_proj'] +Adding LoRA to the model... +[embed/lm_head] num_embeddings=151936, tokenizer_len=151936, grad_rows_trainable (add_tokens only)=[151929, 151930, 151931, 151932, 151933, 151667, 151668, 151934, 151935, 151927, 151928] +tokenizer.model_max_length = 1024 +swanlab: Currently logged in as: Oranger to https://api.swanlab.cn. Use +`swanlab login --relogin` to force relogin +swanlab: Tracking run with swanlab version 0.9.2 +swanlab: 💾 Run data saved at +/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/outputs/swanl +ab/run-20260810_023829-yakjvhwf +swanlab: 📁 View project at https://swanlab.cn/@Oranger/unified-model +swanlab: 🚀 View run H3_LoRA-from3k-B2k-C2k-D2k at +https://swanlab.cn/@Oranger/unified-model/runs/yakjvhwf +max_steps is given, it will override any value given in num_train_epochs +Resuming training from /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-3000 +[resume] restored and validated 55 non-LoRA trainable tensors plus strict CoVT expert heads from /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-3000 +The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'eos_token_id': 151645, 'bos_token_id': None, 'pad_token_id': 151643}. +The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'eos_token_id': 151645, 'bos_token_id': None, 'pad_token_id': 151643}. +The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'eos_token_id': 151645, 'bos_token_id': None, 'pad_token_id': 151643}. +The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'eos_token_id': 151645, 'bos_token_id': None, 'pad_token_id': 151643}. +The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'eos_token_id': 151645, 'bos_token_id': None, 'pad_token_id': 151643}. +The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'eos_token_id': 151645, 'bos_token_id': None, 'pad_token_id': 151643}. +The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'eos_token_id': 151645, 'bos_token_id': None, 'pad_token_id': 151643}. +The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'eos_token_id': 151645, 'bos_token_id': None, 'pad_token_id': 151643}. +[Optimizer] DummyOptim (no param_groups; e.g. DeepSpeed dummy) +[Optimizer] DummyOptim (no param_groups; e.g. DeepSpeed dummy) +[Optimizer] DummyOptim (no param_groups; e.g. DeepSpeed dummy) +[Optimizer] DummyOptim (no param_groups; e.g. DeepSpeed dummy) +[Optimizer] DummyOptim (no param_groups; e.g. DeepSpeed dummy) +[Optimizer] DummyOptim (no param_groups; e.g. DeepSpeed dummy) +[Optimizer] DummyOptim (no param_groups; e.g. DeepSpeed dummy) +[Optimizer] DummyOptim (no param_groups; e.g. DeepSpeed dummy) +[rank6]:W0810 02:39:17.952492 2189840 .env/unvideo/lib/python3.10/site-packages/torch/utils/cpp_extension.py:2425] TORCH_CUDA_ARCH_LIST is not set, all archs for visible cards are included for compilation. +[rank6]:W0810 02:39:17.952492 2189840 .env/unvideo/lib/python3.10/site-packages/torch/utils/cpp_extension.py:2425] If this is not desired, please set os.environ['TORCH_CUDA_ARCH_LIST'] to specific architectures. +Attempting to resume from /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-3000 +[Dataset] cur_step=3000 phase=B_anchor_generation +[Dataset] cur_step=3000 phase=B_anchor_generation +[Dataset] cur_step=3000 phase=B_anchor_generation +[Dataset] cur_step=3000 phase=B_anchor_generation +***** Running training ***** + Num examples = 889,489 + Num Epochs = 1 + Num update steps per epoch = 27,797 + Instantaneous batch size per device = 4 + Total train batch size (w. parallel, distributed & accumulation) = 32 + Gradient Accumulation steps = 1 + Total optimization steps = 9,000 + Number of trainable parameters = 452,604,252 + Resuming training from checkpoint with epoch 0 and global step 3000 + Fast-forwarding the dataloader past 0 epochs and 3000 batches to resume from the exact training state. +Automatic SwanLab logging enabled, to disable set os.environ["SWANLAB_MODE"] = "disabled" +[Dataset] cur_step=3000 phase=B_anchor_generation +[Dataset] cur_step=3000 phase=B_anchor_generation +[Dataset] cur_step=3000 phase=B_anchor_generation +[Dataset] cur_step=3000 phase=B_anchor_generation + 0%| | 0/9000 [00:00 522 (5115ms) trace:unknown | +[ERR] code=unknown code message=unknown error +2026-08-10 04:19:16.646 | WARNING | +swanlab.sdk.internal.core_python.transport.thread:warn:187 - Upload failed +due to network or server issues, retrying automatically. +swanlab: Upload recovered, resuming normally. + {'lm_loss': '0.0002324', 'visual_loss': '2.823', 'seg_loss': '0.7094', 'dino_loss': '0.9334', 'depth_loss': '0.3043', 'vggt_mse_loss': '0.3015', 'vggt_cos_loss': '0.02812', 'pidinet_loss': '0.2373', 'siglip_loss': '0.6388', 'epoch': '0.1486'} + 46%|█████████████▊ | 4132/9000 [1:39:56<5:15:10, 3.88s/it][Dataset] cur_step=4133 phase=B_anchor_generation +[Dataset] cur_step=4133 phase=B_anchor_generation +[Dataset] cur_step=4133 phase=B_anchor_generation[Dataset] cur_step=4133 phase=B_anchor_generation + +[Dataset] cur_step=4133 phase=B_anchor_generation +[Dataset] cur_step=4133 phase=B_anchor_generation +[Dataset] cur_step=4133 phase=B_anchor_generation +[Dataset] cur_step=4133 phase=B_anchor_generation + 46%|█████████████▊ | 4133/9000 [1:39:57<5:20:33, 3.95s/it] {'loss': '2.733', 'grad_norm': '1.934', 'learning_rate': '3.04e-05', 'epoch': '0.1487'} + 46%|█████████████▊ | 4133/9000 [1:39:57<5:20:33, 3.95s/it] {'lm_loss': '0.0002268', 'visual_loss': '3.006', 'seg_loss': '0.8321', 'dino_loss': '0.9411', 'depth_loss': '0.3329', 'vggt_mse_loss': '0.3306', 'vggt_cos_loss': '0.02344', 'pidinet_loss': '0.2327', 'siglip_loss': '0.6671', 'epoch': '0.1487'} + 46%|█████████████▊ | 4133/9000 [1:40:00<5:20:33, 3.95s/it][Dataset] cur_step=4134 phase=B_anchor_generation +[Dataset] cur_step=4134 phase=B_anchor_generation +[Dataset] cur_step=4134 phase=B_anchor_generation +[Dataset] cur_step=4134 phase=B_anchor_generation +[Dataset] cur_step=4134 phase=B_anchor_generation +[Dataset] cur_step=4134 phase=B_anchor_generation +[Dataset] cur_step=4134 phase=B_anchor_generation +[Dataset] cur_step=4134 phase=B_anchor_generation + 46%|█████████████▊ | 4134/9000 [1:40:01<5:20:08, 3.95s/it] {'loss': '2.668', 'grad_norm': '1.438', 'learning_rate': '3.039e-05', 'epoch': '0.1487'} + 46%|█████████████▊ | 4134/9000 [1:40:01<5:20:08, 3.95s/it] {'lm_loss': '0.0001784', 'visual_loss': '2.667', 'seg_loss': '0.692', 'dino_loss': '0.9112', 'depth_loss': '0.3025', 'vggt_mse_loss': '0.3011', 'vggt_cos_loss': '0.01478', 'pidinet_loss': '0.1953', 'siglip_loss': '0.566', 'epoch': '0.1487'} + 46%|█████████████▊ | 4134/9000 [1:40:04<5:20:08, 3.95s/it][Dataset] cur_step=4135 phase=B_anchor_generation +[Dataset] cur_step=4135 phase=B_anchor_generation +[Dataset] cur_step=4135 phase=B_anchor_generation +[Dataset] cur_step=4135 phase=B_anchor_generation[Dataset] cur_step=4135 phase=B_anchor_generation + +[Dataset] cur_step=4135 phase=B_anchor_generation[Dataset] cur_step=4135 phase=B_anchor_generation + + 46%|█████████████▊ | 4135/9000 [1:40:05<5:18:33, 3.93s/it][Dataset] cur_step=4135 phase=B_anchor_generation + {'loss': '2.665', 'grad_norm': '1.451', 'learning_rate': '3.038e-05', 'epoch': '0.1488'} + 46%|█████████████▊ | 4135/9000 [1:40:05<5:18:33, 3.93s/it] {'lm_loss': '0.0002011', 'visual_loss': '2.455', 'seg_loss': '0.7002', 'dino_loss': '0.8889', 'depth_loss': '0.3038', 'vggt_mse_loss': '0.3022', 'vggt_cos_loss': '0.01575', 'pidinet_loss': '0.161', 'siglip_loss': '0.4008', 'epoch': '0.1488'} + 46%|█████████████▊ | 4135/9000 [1:40:09<5:18:33, 3.93s/it][Dataset] cur_step=4136 phase=B_anchor_generation +[Dataset] cur_step=4136 phase=B_anchor_generation +[Dataset] cur_step=4136 phase=B_anchor_generation +[Dataset] cur_step=4136 phase=B_anchor_generation[Dataset] cur_step=4136 phase=B_anchor_generation + +[Dataset] cur_step=4136 phase=B_anchor_generation + 46%|█████████████▊ | 4136/9000 [1:40:09<5:24:51, 4.01s/it][Dataset] cur_step=4136 phase=B_anchor_generation +[Dataset] cur_step=4136 phase=B_anchor_generation + {'loss': '2.756', 'grad_norm': '1.329', 'learning_rate': '3.037e-05', 'epoch': '0.1488'} + 46%|█████████████▊ | 4136/9000 [1:40:09<5:24:51, 4.01s/it] {'lm_loss': '0.0001937', 'visual_loss': '2.873', 'seg_loss': '0.8181', 'dino_loss': '0.9366', 'depth_loss': '0.3551', 'vggt_mse_loss': '0.3527', 'vggt_cos_loss': '0.02427', 'pidinet_loss': '0.2424', 'siglip_loss': '0.5205', 'epoch': '0.1488'} + 46%|█████████████▊ | 4136/9000 [1:40:12<5:24:51, 4.01s/it][Dataset] cur_step=4137 phase=B_anchor_generation +[Dataset] cur_step=4137 phase=B_anchor_generation +[Dataset] cur_step=4137 phase=B_anchor_generation[Dataset] cur_step=4137 phase=B_anchor_generation +[Dataset] cur_step=4137 phase=B_anchor_generation +[Dataset] cur_step=4137 phase=B_anchor_generation + +[Dataset] cur_step=4137 phase=B_anchor_generation + 46%|█████████████▊ | 4137/9000 [1:40:13<5:27:46, 4.04s/it][Dataset] cur_step=4137 phase=B_anchor_generation + {'loss': '2.82', 'grad_norm': '1.664', 'learning_rate': '3.036e-05', 'epoch': '0.1488'} + 46%|█████████████▊ | 4137/9000 [1:40:13<5:27:46, 4.04s/it] {'lm_loss': '0.0002373', 'visual_loss': '2.457', 'seg_loss': '0.6828', 'dino_loss': '0.8849', 'depth_loss': '0.2641', 'vggt_mse_loss': '0.2624', 'vggt_cos_loss': '0.0176', 'pidinet_loss': '0.2295', 'siglip_loss': '0.3953', 'epoch': '0.1488'} + 46%|█████████████▊ | 4137/9000 [1:40:17<5:27:46, 4.04s/it][Dataset] cur_step=4138 phase=B_anchor_generation +[Dataset] cur_step=4138 phase=B_anchor_generation + 46%|█████████████▊ | 4138/9000 [1:40:18<5:40:33, 4.20s/it][Dataset] cur_step=4138 phase=B_anchor_generation +[Dataset] cur_step=4138 phase=B_anchor_generation +[Dataset] cur_step=4138 phase=B_anchor_generation[Dataset] cur_step=4138 phase=B_anchor_generation + +[Dataset] cur_step=4138 phase=B_anchor_generation +[Dataset] cur_step=4138 phase=B_anchor_generation + {'loss': '2.728', 'grad_norm': '1.842', 'learning_rate': '3.035e-05', 'epoch': '0.1489'} + 46%|█████████████▊ | 4138/9000 [1:40:18<5:40:33, 4.20s/it] {'lm_loss': '0.0004347', 'visual_loss': '2.837', 'seg_loss': '0.7885', 'dino_loss': '0.8932', 'depth_loss': '0.3063', 'vggt_mse_loss': '0.3044', 'vggt_cos_loss': '0.01898', 'pidinet_loss': '0.261', 'siglip_loss': '0.5879', 'epoch': '0.1489'} + 46%|█████████████▊ | 4138/9000 [1:40:21<5:40:33, 4.20s/it][Dataset] cur_step=4139 phase=B_anchor_generation +[Dataset] cur_step=4139 phase=B_anchor_generation +[Dataset] cur_step=4139 phase=B_anchor_generation[Dataset] cur_step=4139 phase=B_anchor_generation + +[Dataset] cur_step=4139 phase=B_anchor_generation +[Dataset] cur_step=4139 phase=B_anchor_generation[Dataset] cur_step=4139 phase=B_anchor_generation + +[Dataset] cur_step=4139 phase=B_anchor_generation + 46%|█████████████▊ | 4139/9000 [1:40:21<5:30:09, 4.08s/it] {'loss': '2.793', 'grad_norm': '2.01', 'learning_rate': '3.034e-05', 'epoch': '0.1489'} + 46%|█████████████▊ | 4139/9000 [1:40:21<5:30:09, 4.08s/it] {'lm_loss': '0.0001883', 'visual_loss': '2.682', 'seg_loss': '0.8316', 'dino_loss': '0.8856', 'depth_loss': '0.2987', 'vggt_mse_loss': '0.2972', 'vggt_cos_loss': '0.01503', 'pidinet_loss': '0.1879', 'siglip_loss': '0.4786', 'epoch': '0.1489'} + 46%|█████████████▊ | 4139/9000 [1:40:25<5:30:09, 4.08s/it][Dataset] cur_step=4140 phase=B_anchor_generation +[Dataset] cur_step=4140 phase=B_anchor_generation +[Dataset] cur_step=4140 phase=B_anchor_generation[Dataset] cur_step=4140 phase=B_anchor_generation +[Dataset] cur_step=4140 phase=B_anchor_generation + +[Dataset] cur_step=4140 phase=B_anchor_generation +[Dataset] cur_step=4140 phase=B_anchor_generation + 46%|█████████████▊ | 4140/9000 [1:40:25<5:25:46, 4.02s/it][Dataset] cur_step=4140 phase=B_anchor_generation + {'loss': '2.794', 'grad_norm': '1.591', 'learning_rate': '3.033e-05', 'epoch': '0.1489'} + 46%|█████████████▊ | 4140/9000 [1:40:25<5:25:46, 4.02s/it] {'lm_loss': '0.0002833', 'visual_loss': '2.764', 'seg_loss': '0.7611', 'dino_loss': '0.9192', 'depth_loss': '0.2972', 'vggt_mse_loss': '0.295', 'vggt_cos_loss': '0.02188', 'pidinet_loss': '0.2401', 'siglip_loss': '0.5462', 'epoch': '0.1489'} + 46%|█████████████▊ | 4140/9000 [1:40:28<5:25:46, 4.02s/it][Dataset] cur_step=4141 phase=B_anchor_generation[Dataset] cur_step=4141 phase=B_anchor_generation + +[Dataset] cur_step=4141 phase=B_anchor_generation +[Dataset] cur_step=4141 phase=B_anchor_generation[Dataset] cur_step=4141 phase=B_anchor_generation + +[Dataset] cur_step=4141 phase=B_anchor_generation +[Dataset] cur_step=4141 phase=B_anchor_generation +[Dataset] cur_step=4141 phase=B_anchor_generation + 46%|█████████████▊ | 4141/9000 [1:40:29<5:21:15, 3.97s/it] {'loss': '2.809', 'grad_norm': '1.766', 'learning_rate': '3.032e-05', 'epoch': '0.149'} + 46%|█████████████▊ | 4141/9000 [1:40:29<5:21:15, 3.97s/it] {'lm_loss': '0.0001091', 'visual_loss': '2.644', 'seg_loss': '0.6639', 'dino_loss': '0.8926', 'depth_loss': '0.2737', 'vggt_mse_loss': '0.2721', 'vggt_cos_loss': '0.0154', 'pidinet_loss': '0.2287', 'siglip_loss': '0.5848', 'epoch': '0.149'} + 46%|█████████████▊ | 4141/9000 [1:40:32<5:21:15, 3.97s/it][Dataset] cur_step=4142 phase=B_anchor_generation +[Dataset] cur_step=4142 phase=B_anchor_generation +[Dataset] cur_step=4142 phase=B_anchor_generation + 46%|█████████████▊ | 4142/9000 [1:40:33<5:16:49, 3.91s/it][Dataset] cur_step=4142 phase=B_anchor_generation +[Dataset] cur_step=4142 phase=B_anchor_generation +[Dataset] cur_step=4142 phase=B_anchor_generation +[Dataset] cur_step=4142 phase=B_anchor_generation +[Dataset] cur_step=4142 phase=B_anchor_generation + {'loss': '2.85', 'grad_norm': '2.423', 'learning_rate': '3.031e-05', 'epoch': '0.149'} + 46%|█████████████▊ | 4142/9000 [1:40:33<5:16:49, 3.91s/it] {'lm_loss': '0.0002145', 'visual_loss': '2.548', 'seg_loss': '0.7208', 'dino_loss': '0.9266', 'depth_loss': '0.2513', 'vggt_mse_loss': '0.2496', 'vggt_cos_loss': '0.01655', 'pidinet_loss': '0.2467', 'siglip_loss': '0.403', 'epoch': '0.149'} + 46%|█████████████▊ | 4142/9000 [1:40:36<5:16:49, 3.91s/it][Dataset] cur_step=4143 phase=B_anchor_generation +[Dataset] cur_step=4143 phase=B_anchor_generation +[Dataset] cur_step=4143 phase=B_anchor_generation[Dataset] cur_step=4143 phase=B_anchor_generation +[Dataset] cur_step=4143 phase=B_anchor_generation + +[Dataset] cur_step=4143 phase=B_anchor_generation + 46%|█████████████▊ | 4143/9000 [1:40:37<5:18:23, 3.93s/it][Dataset] cur_step=4143 phase=B_anchor_generation +[Dataset] cur_step=4143 phase=B_anchor_generation + {'loss': '2.795', 'grad_norm': '5.607', 'learning_rate': '3.031e-05', 'epoch': '0.149'} + 46%|█████████████▊ | 4143/9000 [1:40:37<5:18:23, 3.93s/it] {'lm_loss': '0.0001465', 'visual_loss': '2.764', 'seg_loss': '0.7372', 'dino_loss': '0.9039', 'depth_loss': '0.2877', 'vggt_mse_loss': '0.2861', 'vggt_cos_loss': '0.01615', 'pidinet_loss': '0.3006', 'siglip_loss': '0.5344', 'epoch': '0.149'} + 46%|█████████████▊ | 4143/9000 [1:40:40<5:18:23, 3.93s/it][Dataset] cur_step=4144 phase=B_anchor_generation +[Dataset] cur_step=4144 phase=B_anchor_generation +[Dataset] cur_step=4144 phase=B_anchor_generation +[Dataset] cur_step=4144 phase=B_anchor_generation +[Dataset] cur_step=4144 phase=B_anchor_generation +[Dataset] cur_step=4144 phase=B_anchor_generation 46%|█████████████▊ | 4144/9000 [1:40:40<5:07:48, 3.80s/it][Dataset] cur_step=4144 phase=B_anchor_generation + +[Dataset] cur_step=4144 phase=B_anchor_generation + {'loss': '2.744', 'grad_norm': '1.425', 'learning_rate': '3.03e-05', 'epoch': '0.1491'} + 46%|█████████████▊ | 4144/9000 [1:40:40<5:07:48, 3.80s/it] {'lm_loss': '0.0002003', 'visual_loss': '2.788', 'seg_loss': '0.7863', 'dino_loss': '0.927', 'depth_loss': '0.3305', 'vggt_mse_loss': '0.3284', 'vggt_cos_loss': '0.02108', 'pidinet_loss': '0.2621', 'siglip_loss': '0.4817', 'epoch': '0.1491'} + 46%|█████████████▊ | 4144/9000 [1:40:44<5:07:48, 3.80s/it][Dataset] cur_step=4145 phase=B_anchor_generation +[Dataset] cur_step=4145 phase=B_anchor_generation +[Dataset] cur_step=4145 phase=B_anchor_generation[Dataset] cur_step=4145 phase=B_anchor_generation[Dataset] cur_step=4145 phase=B_anchor_generation + + +[Dataset] cur_step=4145 phase=B_anchor_generation +[Dataset] cur_step=4145 phase=B_anchor_generation + 46%|█████████████▊ | 4145/9000 [1:40:44<5:07:01, 3.79s/it][Dataset] cur_step=4145 phase=B_anchor_generation + {'loss': '2.861', 'grad_norm': '1.19', 'learning_rate': '3.029e-05', 'epoch': '0.1491'} + 46%|█████████████▊ | 4145/9000 [1:40:44<5:07:01, 3.79s/it] {'lm_loss': '0.0001882', 'visual_loss': '2.886', 'seg_loss': '0.7596', 'dino_loss': '0.9208', 'depth_loss': '0.2484', 'vggt_mse_loss': '0.2469', 'vggt_cos_loss': '0.015', 'pidinet_loss': '0.2953', 'siglip_loss': '0.6614', 'epoch': '0.1491'} + 46%|█████████████▊ | 4145/9000 [1:40:47<5:07:01, 3.79s/it][Dataset] cur_step=4146 phase=B_anchor_generation +[Dataset] cur_step=4146 phase=B_anchor_generation +[Dataset] cur_step=4146 phase=B_anchor_generation[Dataset] cur_step=4146 phase=B_anchor_generation +[Dataset] cur_step=4146 phase=B_anchor_generation + +[Dataset] cur_step=4146 phase=B_anchor_generation[Dataset] cur_step=4146 phase=B_anchor_generation + + 46%|█████████████▊ | 4146/9000 [1:40:48<5:09:14, 3.82s/it][Dataset] cur_step=4146 phase=B_anchor_generation + {'loss': '2.806', 'grad_norm': '1.516', 'learning_rate': '3.028e-05', 'epoch': '0.1492'} + 46%|█████████████▊ | 4146/9000 [1:40:48<5:09:14, 3.82s/it] {'lm_loss': '0.0002321', 'visual_loss': '2.824', 'seg_loss': '0.7429', 'dino_loss': '0.9186', 'depth_loss': '0.2695', 'vggt_mse_loss': '0.2671', 'vggt_cos_loss': '0.02445', 'pidinet_loss': '0.3028', 'siglip_loss': '0.5905', 'epoch': '0.1492'} + 46%|█████████████▊ | 4146/9000 [1:40:51<5:09:14, 3.82s/it][Dataset] cur_step=4147 phase=B_anchor_generation +[Dataset] cur_step=4147 phase=B_anchor_generation +[Dataset] cur_step=4147 phase=B_anchor_generation[Dataset] cur_step=4147 phase=B_anchor_generation + +[Dataset] cur_step=4147 phase=B_anchor_generation +[Dataset] cur_step=4147 phase=B_anchor_generation +[Dataset] cur_step=4147 phase=B_anchor_generation +[Dataset] cur_step=4147 phase=B_anchor_generation + 46%|█████████████▊ | 4147/9000 [1:40:52<5:13:21, 3.87s/it] {'loss': '2.815', 'grad_norm': '2.537', 'learning_rate': '3.027e-05', 'epoch': '0.1492'} + 46%|█████████████▊ | 4147/9000 [1:40:52<5:13:21, 3.87s/it] {'lm_loss': '0.0001252', 'visual_loss': '2.784', 'seg_loss': '0.8469', 'dino_loss': '0.9157', 'depth_loss': '0.2463', 'vggt_mse_loss': '0.2448', 'vggt_cos_loss': '0.0147', 'pidinet_loss': '0.218', 'siglip_loss': '0.557', 'epoch': '0.1492'} + 46%|█████████████▊ | 4147/9000 [1:40:55<5:13:21, 3.87s/it][Dataset] cur_step=4148 phase=B_anchor_generation +[Dataset] cur_step=4148 phase=B_anchor_generation +[Dataset] cur_step=4148 phase=B_anchor_generation +[Dataset] cur_step=4148 phase=B_anchor_generation +[Dataset] cur_step=4148 phase=B_anchor_generation +[Dataset] cur_step=4148 phase=B_anchor_generation +[Dataset] cur_step=4148 phase=B_anchor_generation + 46%|█████████████▊ | 4148/9000 [1:40:56<5:21:38, 3.98s/it][Dataset] cur_step=4148 phase=B_anchor_generation + {'loss': '2.805', 'grad_norm': '1.308', 'learning_rate': '3.026e-05', 'epoch': '0.1492'} + 46%|█████████████▊ | 4148/9000 [1:40:56<5:21:38, 3.98s/it] {'lm_loss': '0.0002255', 'visual_loss': '2.743', 'seg_loss': '0.5288', 'dino_loss': '0.9174', 'depth_loss': '0.181', 'vggt_mse_loss': '0.1796', 'vggt_cos_loss': '0.01371', 'pidinet_loss': '0.2228', 'siglip_loss': '0.8934', 'epoch': '0.1492'} + 46%|█████████████▊ | 4148/9000 [1:41:00<5:21:38, 3.98s/it][Dataset] cur_step=4149 phase=B_anchor_generation +[Dataset] cur_step=4149 phase=B_anchor_generation +[Dataset] cur_step=4149 phase=B_anchor_generation +[Dataset] cur_step=4149 phase=B_anchor_generation +[Dataset] cur_step=4149 phase=B_anchor_generation +[Dataset] cur_step=4149 phase=B_anchor_generation + 46%|█████████████▊ | 4149/9000 [1:41:02<6:11:20, 4.59s/it][Dataset] cur_step=4149 phase=B_anchor_generation +[Dataset] cur_step=4149 phase=B_anchor_generation + {'loss': '2.794', 'grad_norm': '1.283', 'learning_rate': '3.025e-05', 'epoch': '0.1493'} + 46%|█████████████▊ | 4149/9000 [1:41:02<6:11:20, 4.59s/it] {'lm_loss': '0.0001226', 'visual_loss': '2.831', 'seg_loss': '0.7134', 'dino_loss': '0.9179', 'depth_loss': '0.2418', 'vggt_mse_loss': '0.2401', 'vggt_cos_loss': '0.01722', 'pidinet_loss': '0.2204', 'siglip_loss': '0.7373', 'epoch': '0.1493'} + 46%|█████████████▊ | 4149/9000 [1:41:06<6:11:20, 4.59s/it][Dataset] cur_step=4150 phase=B_anchor_generation +[Dataset] cur_step=4150 phase=B_anchor_generation +[Dataset] cur_step=4150 phase=B_anchor_generation +[Dataset] cur_step=4150 phase=B_anchor_generation +[Dataset] cur_step=4150 phase=B_anchor_generation +[Dataset] cur_step=4150 phase=B_anchor_generation + 46%|█████████████▊ | 4150/9000 [1:41:06<5:52:52, 4.37s/it][Dataset] cur_step=4150 phase=B_anchor_generation[Dataset] cur_step=4150 phase=B_anchor_generation + + {'loss': '2.766', 'grad_norm': '3.387', 'learning_rate': '3.024e-05', 'epoch': '0.1493'} + 46%|█████████████▊ | 4150/9000 [1:41:06<5:52:52, 4.37s/it] {'lm_loss': '0.0003306', 'visual_loss': '2.744', 'seg_loss': '0.7466', 'dino_loss': '0.9332', 'depth_loss': '0.3153', 'vggt_mse_loss': '0.3135', 'vggt_cos_loss': '0.01812', 'pidinet_loss': '0.2572', 'siglip_loss': '0.4915', 'epoch': '0.1493'} + 46%|█████████████▊ | 4150/9000 [1:41:09<5:52:52, 4.37s/it][Dataset] cur_step=4151 phase=B_anchor_generation[Dataset] cur_step=4151 phase=B_anchor_generation + +[Dataset] cur_step=4151 phase=B_anchor_generation[Dataset] cur_step=4151 phase=B_anchor_generation[Dataset] cur_step=4151 phase=B_anchor_generation +[Dataset] cur_step=4151 phase=B_anchor_generation + + + 46%|█████████████▊ | 4151/9000 [1:41:10<5:44:49, 4.27s/it][Dataset] cur_step=4151 phase=B_anchor_generation +[Dataset] cur_step=4151 phase=B_anchor_generation + {'loss': '2.803', 'grad_norm': '3.517', 'learning_rate': '3.023e-05', 'epoch': '0.1493'} + 46%|█████████████▊ | 4151/9000 [1:41:10<5:44:49, 4.27s/it] {'lm_loss': '0.0002164', 'visual_loss': '2.739', 'seg_loss': '0.7245', 'dino_loss': '0.9342', 'depth_loss': '0.2453', 'vggt_mse_loss': '0.2436', 'vggt_cos_loss': '0.01744', 'pidinet_loss': '0.2592', 'siglip_loss': '0.5756', 'epoch': '0.1493'} + 46%|█████████████▊ | 4151/9000 [1:41:14<5:44:49, 4.27s/it][Dataset] cur_step=4152 phase=B_anchor_generation +[Dataset] cur_step=4152 phase=B_anchor_generation +[Dataset] cur_step=4152 phase=B_anchor_generation[Dataset] cur_step=4152 phase=B_anchor_generation + +[Dataset] cur_step=4152 phase=B_anchor_generation[Dataset] cur_step=4152 phase=B_anchor_generation +[Dataset] cur_step=4152 phase=B_anchor_generation +[Dataset] cur_step=4152 phase=B_anchor_generation + + 46%|█████████████▊ | 4152/9000 [1:41:14<5:31:48, 4.11s/it] {'loss': '2.824', 'grad_norm': '4.266', 'learning_rate': '3.022e-05', 'epoch': '0.1494'} + 46%|█████████████▊ | 4152/9000 [1:41:14<5:31:48, 4.11s/it] {'lm_loss': '0.0002194', 'visual_loss': '2.814', 'seg_loss': '0.889', 'dino_loss': '0.9087', 'depth_loss': '0.2301', 'vggt_mse_loss': '0.2286', 'vggt_cos_loss': '0.01515', 'pidinet_loss': '0.2002', 'siglip_loss': '0.5859', 'epoch': '0.1494'} + 46%|█████████████▊ | 4152/9000 [1:41:17<5:31:48, 4.11s/it][Dataset] cur_step=4153 phase=B_anchor_generation[Dataset] cur_step=4153 phase=B_anchor_generation + +[Dataset] cur_step=4153 phase=B_anchor_generation +[Dataset] cur_step=4153 phase=B_anchor_generation +[Dataset] cur_step=4153 phase=B_anchor_generation +[Dataset] cur_step=4153 phase=B_anchor_generation +[Dataset] cur_step=4153 phase=B_anchor_generation +[Dataset] cur_step=4153 phase=B_anchor_generation + 46%|█████████████▊ | 4153/9000 [1:41:18<5:24:39, 4.02s/it] {'loss': '2.77', 'grad_norm': '2.31', 'learning_rate': '3.022e-05', 'epoch': '0.1494'} + 46%|█████████████▊ | 4153/9000 [1:41:18<5:24:39, 4.02s/it] {'lm_loss': '0.0003648', 'visual_loss': '2.871', 'seg_loss': '0.8347', 'dino_loss': '0.8907', 'depth_loss': '0.2401', 'vggt_mse_loss': '0.2384', 'vggt_cos_loss': '0.01683', 'pidinet_loss': '0.2288', 'siglip_loss': '0.6762', 'epoch': '0.1494'} + 46%|█████████████▊ | 4153/9000 [1:41:21<5:24:39, 4.02s/it][Dataset] cur_step=4154 phase=B_anchor_generation +[Dataset] cur_step=4154 phase=B_anchor_generation +[Dataset] cur_step=4154 phase=B_anchor_generation[Dataset] cur_step=4154 phase=B_anchor_generation[Dataset] cur_step=4154 phase=B_anchor_generation + + +[Dataset] cur_step=4154 phase=B_anchor_generation +[Dataset] cur_step=4154 phase=B_anchor_generation +[Dataset] cur_step=4154 phase=B_anchor_generation + 46%|█████████████▊ | 4154/9000 [1:41:22<5:20:34, 3.97s/it] {'loss': '2.765', 'grad_norm': '1.163', 'learning_rate': '3.021e-05', 'epoch': '0.1494'} + 46%|█████████████▊ | 4154/9000 [1:41:22<5:20:34, 3.97s/it] {'lm_loss': '0.0001149', 'visual_loss': '2.678', 'seg_loss': '0.7673', 'dino_loss': '0.8942', 'depth_loss': '0.3232', 'vggt_mse_loss': '0.3208', 'vggt_cos_loss': '0.02315', 'pidinet_loss': '0.2291', 'siglip_loss': '0.4643', 'epoch': '0.1494'} + 46%|█████████████▊ | 4154/9000 [1:41:25<5:20:34, 3.97s/it][Dataset] cur_step=4155 phase=B_anchor_generation +[Dataset] cur_step=4155 phase=B_anchor_generation +[Dataset] cur_step=4155 phase=B_anchor_generation +[Dataset] cur_step=4155 phase=B_anchor_generation +[Dataset] cur_step=4155 phase=B_anchor_generation +[Dataset] cur_step=4155 phase=B_anchor_generation +[Dataset] cur_step=4155 phase=B_anchor_generation + 46%|█████████████▊ | 4155/9000 [1:41:26<5:21:18, 3.98s/it][Dataset] cur_step=4155 phase=B_anchor_generation + {'loss': '2.806', 'grad_norm': '1.278', 'learning_rate': '3.02e-05', 'epoch': '0.1495'} + 46%|█████████████▊ | 4155/9000 [1:41:26<5:21:18, 3.98s/it] {'lm_loss': '0.0008597', 'visual_loss': '2.713', 'seg_loss': '0.7794', 'dino_loss': '0.8922', 'depth_loss': '0.2274', 'vggt_mse_loss': '0.2256', 'vggt_cos_loss': '0.01762', 'pidinet_loss': '0.2584', 'siglip_loss': '0.5551', 'epoch': '0.1495'} + 46%|█████████████▊ | 4155/9000 [1:41:29<5:21:18, 3.98s/it][Dataset] cur_step=4156 phase=B_anchor_generation +[Dataset] cur_step=4156 phase=B_anchor_generation +[Dataset] cur_step=4156 phase=B_anchor_generation +[Dataset] cur_step=4156 phase=B_anchor_generation[Dataset] cur_step=4156 phase=B_anchor_generation +[Dataset] cur_step=4156 phase=B_anchor_generation + +[Dataset] cur_step=4156 phase=B_anchor_generation + 46%|█████████████▊ | 4156/9000 [1:41:29<5:15:45, 3.91s/it][Dataset] cur_step=4156 phase=B_anchor_generation + {'loss': '2.831', 'grad_norm': '1.321', 'learning_rate': '3.019e-05', 'epoch': '0.1495'} + 46%|█████████████▊ | 4156/9000 [1:41:29<5:15:45, 3.91s/it] {'lm_loss': '0.0001098', 'visual_loss': '2.904', 'seg_loss': '0.8046', 'dino_loss': '0.9461', 'depth_loss': '0.3162', 'vggt_mse_loss': '0.3143', 'vggt_cos_loss': '0.01853', 'pidinet_loss': '0.2607', 'siglip_loss': '0.5761', 'epoch': '0.1495'} + 46%|█████████████▊ | 4156/9000 [1:41:35<5:15:45, 3.91s/it][Dataset] cur_step=4157 phase=B_anchor_generation +[Dataset] cur_step=4157 phase=B_anchor_generation[Dataset] cur_step=4157 phase=B_anchor_generation + +[Dataset] cur_step=4157 phase=B_anchor_generation[Dataset] cur_step=4157 phase=B_anchor_generation + +[Dataset] cur_step=4157 phase=B_anchor_generation +[Dataset] cur_step=4157 phase=B_anchor_generation + 46%|█████████████▊ | 4157/9000 [1:41:36<6:17:39, 4.68s/it][Dataset] cur_step=4157 phase=B_anchor_generation + {'loss': '2.748', 'grad_norm': '4.078', 'learning_rate': '3.018e-05', 'epoch': '0.1495'} + 46%|█████████████▊ | 4157/9000 [1:41:36<6:17:39, 4.68s/it] {'lm_loss': '0.0001406', 'visual_loss': '2.716', 'seg_loss': '0.7101', 'dino_loss': '0.9146', 'depth_loss': '0.273', 'vggt_mse_loss': '0.2711', 'vggt_cos_loss': '0.01903', 'pidinet_loss': '0.2799', 'siglip_loss': '0.5387', 'epoch': '0.1495'} + 46%|█████████████▊ | 4157/9000 [1:41:39<6:17:39, 4.68s/it][Dataset] cur_step=4158 phase=B_anchor_generation +[Dataset] cur_step=4158 phase=B_anchor_generation[Dataset] cur_step=4158 phase=B_anchor_generation[Dataset] cur_step=4158 phase=B_anchor_generation + + +[Dataset] cur_step=4158 phase=B_anchor_generation[Dataset] cur_step=4158 phase=B_anchor_generation + +[Dataset] cur_step=4158 phase=B_anchor_generation + 46%|█████████████▊ | 4158/9000 [1:41:40<5:56:04, 4.41s/it][Dataset] cur_step=4158 phase=B_anchor_generation + {'loss': '2.778', 'grad_norm': '3.03', 'learning_rate': '3.017e-05', 'epoch': '0.1496'} + 46%|█████████████▊ | 4158/9000 [1:41:40<5:56:04, 4.41s/it] {'lm_loss': '0.0001483', 'visual_loss': '2.724', 'seg_loss': '0.5805', 'dino_loss': '0.9049', 'depth_loss': '0.3349', 'vggt_mse_loss': '0.3331', 'vggt_cos_loss': '0.01857', 'pidinet_loss': '0.1919', 'siglip_loss': '0.7119', 'epoch': '0.1496'} + 46%|█████████████▊ | 4158/9000 [1:41:43<5:56:04, 4.41s/it][Dataset] cur_step=4159 phase=B_anchor_generation +[Dataset] cur_step=4159 phase=B_anchor_generation[Dataset] cur_step=4159 phase=B_anchor_generation +[Dataset] cur_step=4159 phase=B_anchor_generation + +[Dataset] cur_step=4159 phase=B_anchor_generation +[Dataset] cur_step=4159 phase=B_anchor_generation +[Dataset] cur_step=4159 phase=B_anchor_generation[Dataset] cur_step=4159 phase=B_anchor_generation + + 46%|█████████████▊ | 4159/9000 [1:41:44<5:46:03, 4.29s/it] {'loss': '2.806', 'grad_norm': '1.567', 'learning_rate': '3.016e-05', 'epoch': '0.1496'} + 46%|█████████████▊ | 4159/9000 [1:41:44<5:46:03, 4.29s/it] {'lm_loss': '0.0001616', 'visual_loss': '2.78', 'seg_loss': '0.6486', 'dino_loss': '0.9183', 'depth_loss': '0.3165', 'vggt_mse_loss': '0.3142', 'vggt_cos_loss': '0.02355', 'pidinet_loss': '0.201', 'siglip_loss': '0.696', 'epoch': '0.1496'} + 46%|█████████████▊ | 4159/9000 [1:41:47<5:46:03, 4.29s/it][Dataset] cur_step=4160 phase=B_anchor_generation +[Dataset] cur_step=4160 phase=B_anchor_generation[Dataset] cur_step=4160 phase=B_anchor_generation[Dataset] cur_step=4160 phase=B_anchor_generation + + +[Dataset] cur_step=4160 phase=B_anchor_generation +[Dataset] cur_step=4160 phase=B_anchor_generation[Dataset] cur_step=4160 phase=B_anchor_generation + +[Dataset] cur_step=4160 phase=B_anchor_generation + 46%|█████████████▊ | 4160/9000 [1:41:50<6:33:04, 4.87s/it] {'loss': '2.774', 'grad_norm': '1.264', 'learning_rate': '3.015e-05', 'epoch': '0.1497'} + 46%|█████████████▊ | 4160/9000 [1:41:50<6:33:04, 4.87s/it] {'lm_loss': '0.0001648', 'visual_loss': '3.005', 'seg_loss': '0.692', 'dino_loss': '0.915', 'depth_loss': '0.2705', 'vggt_mse_loss': '0.2683', 'vggt_cos_loss': '0.02178', 'pidinet_loss': '0.2349', 'siglip_loss': '0.8921', 'epoch': '0.1497'} + 46%|█████████████▊ | 4160/9000 [1:41:53<6:33:04, 4.87s/it][Dataset] cur_step=4161 phase=B_anchor_generation +[Dataset] cur_step=4161 phase=B_anchor_generation +[Dataset] cur_step=4161 phase=B_anchor_generation[Dataset] cur_step=4161 phase=B_anchor_generation + +[Dataset] cur_step=4161 phase=B_anchor_generation +[Dataset] cur_step=4161 phase=B_anchor_generation[Dataset] cur_step=4161 phase=B_anchor_generation 46%|█████████████▊ | 4161/9000 [1:41:56<7:03:15, 5.25s/it] + +[Dataset] cur_step=4161 phase=B_anchor_generation + {'loss': '2.79', 'grad_norm': '14.28', 'learning_rate': '3.014e-05', 'epoch': '0.1497'} + 46%|█████████████▊ | 4161/9000 [1:41:56<7:03:15, 5.25s/it] {'lm_loss': '0.0001277', 'visual_loss': '2.707', 'seg_loss': '0.7893', 'dino_loss': '0.9135', 'depth_loss': '0.2505', 'vggt_mse_loss': '0.2489', 'vggt_cos_loss': '0.01588', 'pidinet_loss': '0.2235', 'siglip_loss': '0.5306', 'epoch': '0.1497'} + 46%|█████████████▊ | 4161/9000 [1:41:59<7:03:15, 5.25s/it][Dataset] cur_step=4162 phase=B_anchor_generation +[Dataset] cur_step=4162 phase=B_anchor_generation +[Dataset] cur_step=4162 phase=B_anchor_generation +[Dataset] cur_step=4162 phase=B_anchor_generation[Dataset] cur_step=4162 phase=B_anchor_generation + +[Dataset] cur_step=4162 phase=B_anchor_generation 46%|█████████████▊ | 4162/9000 [1:42:00<6:30:48, 4.85s/it] +[Dataset] cur_step=4162 phase=B_anchor_generation +[Dataset] cur_step=4162 phase=B_anchor_generation + {'loss': '2.787', 'grad_norm': '20.27', 'learning_rate': '3.013e-05', 'epoch': '0.1497'} + 46%|█████████████▊ | 4162/9000 [1:42:00<6:30:48, 4.85s/it] {'lm_loss': '0.0002659', 'visual_loss': '2.9', 'seg_loss': '0.7605', 'dino_loss': '0.9087', 'depth_loss': '0.3094', 'vggt_mse_loss': '0.3071', 'vggt_cos_loss': '0.02211', 'pidinet_loss': '0.2806', 'siglip_loss': '0.6411', 'epoch': '0.1497'} + 46%|█████████████▊ | 4162/9000 [1:42:03<6:30:48, 4.85s/it][Dataset] cur_step=4163 phase=B_anchor_generation +[Dataset] cur_step=4163 phase=B_anchor_generation +[Dataset] cur_step=4163 phase=B_anchor_generation +[Dataset] cur_step=4163 phase=B_anchor_generation +[Dataset] cur_step=4163 phase=B_anchor_generation +[Dataset] cur_step=4163 phase=B_anchor_generation[Dataset] cur_step=4163 phase=B_anchor_generation + + 46%|█████████████▉ | 4163/9000 [1:42:04<6:04:56, 4.53s/it][Dataset] cur_step=4163 phase=B_anchor_generation + {'loss': '2.796', 'grad_norm': '2.522', 'learning_rate': '3.013e-05', 'epoch': '0.1498'} + 46%|█████████████▉ | 4163/9000 [1:42:04<6:04:56, 4.53s/it] {'lm_loss': '0.0003824', 'visual_loss': '2.475', 'seg_loss': '0.6918', 'dino_loss': '0.8653', 'depth_loss': '0.3214', 'vggt_mse_loss': '0.3202', 'vggt_cos_loss': '0.01229', 'pidinet_loss': '0.1509', 'siglip_loss': '0.4457', 'epoch': '0.1498'} + 46%|█████████████▉ | 4163/9000 [1:42:07<6:04:56, 4.53s/it][Dataset] cur_step=4164 phase=B_anchor_generation +[Dataset] cur_step=4164 phase=B_anchor_generation +[Dataset] cur_step=4164 phase=B_anchor_generation +[Dataset] cur_step=4164 phase=B_anchor_generation + 46%|█████████████▉ | 4164/9000 [1:42:08<5:49:50, 4.34s/it][Dataset] cur_step=4164 phase=B_anchor_generation +[Dataset] cur_step=4164 phase=B_anchor_generation +[Dataset] cur_step=4164 phase=B_anchor_generation +[Dataset] cur_step=4164 phase=B_anchor_generation + {'loss': '2.765', 'grad_norm': '2.289', 'learning_rate': '3.012e-05', 'epoch': '0.1498'} + 46%|█████████████▉ | 4164/9000 [1:42:08<5:49:50, 4.34s/it] {'lm_loss': '0.0002538', 'visual_loss': '2.629', 'seg_loss': '0.6929', 'dino_loss': '0.9063', 'depth_loss': '0.2999', 'vggt_mse_loss': '0.2985', 'vggt_cos_loss': '0.01385', 'pidinet_loss': '0.1848', 'siglip_loss': '0.5446', 'epoch': '0.1498'} + 46%|█████████████▉ | 4164/9000 [1:42:11<5:49:50, 4.34s/it][Dataset] cur_step=4165 phase=B_anchor_generation +[Dataset] cur_step=4165 phase=B_anchor_generation +[Dataset] cur_step=4165 phase=B_anchor_generation +[Dataset] cur_step=4165 phase=B_anchor_generation[Dataset] cur_step=4165 phase=B_anchor_generation + +[Dataset] cur_step=4165 phase=B_anchor_generation + 46%|█████████████▉ | 4165/9000 [1:42:15<7:00:59, 5.22s/it][Dataset] cur_step=4165 phase=B_anchor_generation +[Dataset] cur_step=4165 phase=B_anchor_generation + {'loss': '2.798', 'grad_norm': '1.434', 'learning_rate': '3.011e-05', 'epoch': '0.1498'} + 46%|█████████████▉ | 4165/9000 [1:42:15<7:00:59, 5.22s/it] {'lm_loss': '0.0001601', 'visual_loss': '2.963', 'seg_loss': '0.7424', 'dino_loss': '0.9151', 'depth_loss': '0.383', 'vggt_mse_loss': '0.3804', 'vggt_cos_loss': '0.02615', 'pidinet_loss': '0.2365', 'siglip_loss': '0.6864', 'epoch': '0.1498'} + 46%|█████████████▉ | 4165/9000 [1:42:18<7:00:59, 5.22s/it][Dataset] cur_step=4166 phase=B_anchor_generation +[Dataset] cur_step=4166 phase=B_anchor_generation +[Dataset] cur_step=4166 phase=B_anchor_generation[Dataset] cur_step=4166 phase=B_anchor_generation + +[Dataset] cur_step=4166 phase=B_anchor_generation +[Dataset] cur_step=4166 phase=B_anchor_generation[Dataset] cur_step=4166 phase=B_anchor_generation + + 46%|█████████████▉ | 4166/9000 [1:42:21<7:28:45, 5.57s/it][Dataset] cur_step=4166 phase=B_anchor_generation + {'loss': '2.746', 'grad_norm': '1.94', 'learning_rate': '3.01e-05', 'epoch': '0.1499'} + 46%|█████████████▉ | 4166/9000 [1:42:21<7:28:45, 5.57s/it] {'lm_loss': '0.0002589', 'visual_loss': '2.731', 'seg_loss': '0.6673', 'dino_loss': '0.9272', 'depth_loss': '0.3554', 'vggt_mse_loss': '0.3536', 'vggt_cos_loss': '0.01813', 'pidinet_loss': '0.1203', 'siglip_loss': '0.6606', 'epoch': '0.1499'} + 46%|█████████████▉ | 4166/9000 [1:42:25<7:28:45, 5.57s/it][Dataset] cur_step=4167 phase=B_anchor_generation +[Dataset] cur_step=4167 phase=B_anchor_generation 46%|█████████████▉ | 4167/9000 [1:42:25<6:51:10, 5.10s/it] +[Dataset] cur_step=4167 phase=B_anchor_generation[Dataset] cur_step=4167 phase=B_anchor_generation + +[Dataset] cur_step=4167 phase=B_anchor_generation[Dataset] cur_step=4167 phase=B_anchor_generation +[Dataset] cur_step=4167 phase=B_anchor_generation + +[Dataset] cur_step=4167 phase=B_anchor_generation + {'loss': '2.858', 'grad_norm': '2.062', 'learning_rate': '3.009e-05', 'epoch': '0.1499'} + 46%|█████████████▉ | 4167/9000 [1:42:25<6:51:10, 5.10s/it] {'lm_loss': '0.0003036', 'visual_loss': '2.672', 'seg_loss': '0.6319', 'dino_loss': '0.8991', 'depth_loss': '0.3456', 'vggt_mse_loss': '0.3438', 'vggt_cos_loss': '0.01809', 'pidinet_loss': '0.2336', 'siglip_loss': '0.5623', 'epoch': '0.1499'} + 46%|█████████████▉ | 4167/9000 [1:42:29<6:51:10, 5.10s/it][Dataset] cur_step=4168 phase=B_anchor_generation + 46%|█████████████▉ | 4168/9000 [1:42:29<6:21:48, 4.74s/it][Dataset] cur_step=4168 phase=B_anchor_generation +[Dataset] cur_step=4168 phase=B_anchor_generation +[Dataset] cur_step=4168 phase=B_anchor_generation +[Dataset] cur_step=4168 phase=B_anchor_generation[Dataset] cur_step=4168 phase=B_anchor_generation + +[Dataset] cur_step=4168 phase=B_anchor_generation +[Dataset] cur_step=4168 phase=B_anchor_generation + {'loss': '2.886', 'grad_norm': '6.804', 'learning_rate': '3.008e-05', 'epoch': '0.1499'} + 46%|█████████████▉ | 4168/9000 [1:42:29<6:21:48, 4.74s/it] {'lm_loss': '0.0001797', 'visual_loss': '2.574', 'seg_loss': '0.7638', 'dino_loss': '0.8975', 'depth_loss': '0.2821', 'vggt_mse_loss': '0.2802', 'vggt_cos_loss': '0.01883', 'pidinet_loss': '0.2182', 'siglip_loss': '0.4127', 'epoch': '0.1499'} + 46%|█████████████▉ | 4168/9000 [1:42:32<6:21:48, 4.74s/it][Dataset] cur_step=4169 phase=B_anchor_generation +[Dataset] cur_step=4169 phase=B_anchor_generation +[Dataset] cur_step=4169 phase=B_anchor_generation +[Dataset] cur_step=4169 phase=B_anchor_generation +[Dataset] cur_step=4169 phase=B_anchor_generation[Dataset] cur_step=4169 phase=B_anchor_generation + +[Dataset] cur_step=4169 phase=B_anchor_generation 46%|█████████████▉ | 4169/9000 [1:42:35<6:46:08, 5.04s/it] +[Dataset] cur_step=4169 phase=B_anchor_generation + {'loss': '2.805', 'grad_norm': '1.593', 'learning_rate': '3.007e-05', 'epoch': '0.15'} + 46%|█████████████▉ | 4169/9000 [1:42:35<6:46:08, 5.04s/it] {'lm_loss': '0.0005661', 'visual_loss': '2.98', 'seg_loss': '0.82', 'dino_loss': '0.928', 'depth_loss': '0.2564', 'vggt_mse_loss': '0.2546', 'vggt_cos_loss': '0.01791', 'pidinet_loss': '0.2991', 'siglip_loss': '0.677', 'epoch': '0.15'} + 46%|█████████████▉ | 4169/9000 [1:42:38<6:46:08, 5.04s/it][Dataset] cur_step=4170 phase=B_anchor_generation +[Dataset] cur_step=4170 phase=B_anchor_generation +[Dataset] cur_step=4170 phase=B_anchor_generation +[Dataset] cur_step=4170 phase=B_anchor_generation +[Dataset] cur_step=4170 phase=B_anchor_generation[Dataset] cur_step=4170 phase=B_anchor_generation + + 46%|█████████████▉ | 4170/9000 [1:42:39<6:20:29, 4.73s/it][Dataset] cur_step=4170 phase=B_anchor_generation +[Dataset] cur_step=4170 phase=B_anchor_generation + {'loss': '2.786', 'grad_norm': '1.59', 'learning_rate': '3.006e-05', 'epoch': '0.15'} + 46%|█████████████▉ | 4170/9000 [1:42:39<6:20:29, 4.73s/it] {'lm_loss': '0.0001904', 'visual_loss': '3.159', 'seg_loss': '0.7764', 'dino_loss': '0.9015', 'depth_loss': '0.3242', 'vggt_mse_loss': '0.3226', 'vggt_cos_loss': '0.01687', 'pidinet_loss': '0.2535', 'siglip_loss': '0.9038', 'epoch': '0.15'} + 46%|█████████████▉ | 4170/9000 [1:42:42<6:20:29, 4.73s/it][Dataset] cur_step=4171 phase=B_anchor_generation +[Dataset] cur_step=4171 phase=B_anchor_generation +[Dataset] cur_step=4171 phase=B_anchor_generation +[Dataset] cur_step=4171 phase=B_anchor_generation[Dataset] cur_step=4171 phase=B_anchor_generation + +[Dataset] cur_step=4171 phase=B_anchor_generation +[Dataset] cur_step=4171 phase=B_anchor_generation + 46%|█████████████▉ | 4171/9000 [1:42:42<5:51:16, 4.36s/it][Dataset] cur_step=4171 phase=B_anchor_generation + {'loss': '2.84', 'grad_norm': '2.429', 'learning_rate': '3.005e-05', 'epoch': '0.1501'} + 46%|█████████████▉ | 4171/9000 [1:42:42<5:51:16, 4.36s/it] {'lm_loss': '0.0003921', 'visual_loss': '2.746', 'seg_loss': '0.7435', 'dino_loss': '0.9096', 'depth_loss': '0.3418', 'vggt_mse_loss': '0.3388', 'vggt_cos_loss': '0.03072', 'pidinet_loss': '0.2567', 'siglip_loss': '0.4942', 'epoch': '0.1501'} + 46%|█████████████▉ | 4171/9000 [1:42:46<5:51:16, 4.36s/it][Dataset] cur_step=4172 phase=B_anchor_generation +[Dataset] cur_step=4172 phase=B_anchor_generation +[Dataset] cur_step=4172 phase=B_anchor_generation +[Dataset] cur_step=4172 phase=B_anchor_generation +[Dataset] cur_step=4172 phase=B_anchor_generation +[Dataset] cur_step=4172 phase=B_anchor_generation +[Dataset] cur_step=4172 phase=B_anchor_generation + 46%|█████████████▉ | 4172/9000 [1:42:46<5:43:14, 4.27s/it][Dataset] cur_step=4172 phase=B_anchor_generation + {'loss': '2.707', 'grad_norm': '3.537', 'learning_rate': '3.004e-05', 'epoch': '0.1501'} + 46%|█████████████▉ | 4172/9000 [1:42:46<5:43:14, 4.27s/it] {'lm_loss': '0.0002513', 'visual_loss': '2.72', 'seg_loss': '0.644', 'dino_loss': '0.9026', 'depth_loss': '0.3566', 'vggt_mse_loss': '0.3536', 'vggt_cos_loss': '0.03064', 'pidinet_loss': '0.1671', 'siglip_loss': '0.6498', 'epoch': '0.1501'} + 46%|█████████████▉ | 4172/9000 [1:42:50<5:43:14, 4.27s/it][Dataset] cur_step=4173 phase=B_anchor_generation +[Dataset] cur_step=4173 phase=B_anchor_generation 46%|█████████████▉ | 4173/9000 [1:42:50<5:25:08, 4.04s/it] +[Dataset] cur_step=4173 phase=B_anchor_generation +[Dataset] cur_step=4173 phase=B_anchor_generation[Dataset] cur_step=4173 phase=B_anchor_generation + +[Dataset] cur_step=4173 phase=B_anchor_generation +[Dataset] cur_step=4173 phase=B_anchor_generation +[Dataset] cur_step=4173 phase=B_anchor_generation + {'loss': '2.721', 'grad_norm': '3.023', 'learning_rate': '3.004e-05', 'epoch': '0.1501'} + 46%|█████████████▉ | 4173/9000 [1:42:50<5:25:08, 4.04s/it] {'lm_loss': '0.0003765', 'visual_loss': '2.725', 'seg_loss': '0.7079', 'dino_loss': '0.901', 'depth_loss': '0.3054', 'vggt_mse_loss': '0.3035', 'vggt_cos_loss': '0.01939', 'pidinet_loss': '0.2322', 'siglip_loss': '0.579', 'epoch': '0.1501'} + 46%|█████████████▉ | 4173/9000 [1:42:53<5:25:08, 4.04s/it][Dataset] cur_step=4174 phase=B_anchor_generation +[Dataset] cur_step=4174 phase=B_anchor_generation +[Dataset] cur_step=4174 phase=B_anchor_generation[Dataset] cur_step=4174 phase=B_anchor_generation + +[Dataset] cur_step=4174 phase=B_anchor_generation +[Dataset] cur_step=4174 phase=B_anchor_generation[Dataset] cur_step=4174 phase=B_anchor_generation + + 46%|█████████████▉ | 4174/9000 [1:42:56<6:06:11, 4.55s/it][Dataset] cur_step=4174 phase=B_anchor_generation + {'loss': '2.705', 'grad_norm': '18.54', 'learning_rate': '3.003e-05', 'epoch': '0.1502'} + 46%|█████████████▉ | 4174/9000 [1:42:56<6:06:11, 4.55s/it] {'lm_loss': '0.0004043', 'visual_loss': '2.679', 'seg_loss': '0.8333', 'dino_loss': '0.9112', 'depth_loss': '0.2588', 'vggt_mse_loss': '0.2574', 'vggt_cos_loss': '0.01392', 'pidinet_loss': '0.2422', 'siglip_loss': '0.4337', 'epoch': '0.1502'} + 46%|█████████████▉ | 4174/9000 [1:42:59<6:06:11, 4.55s/it][Dataset] cur_step=4175 phase=B_anchor_generation +[Dataset] cur_step=4175 phase=B_anchor_generation[Dataset] cur_step=4175 phase=B_anchor_generation[Dataset] cur_step=4175 phase=B_anchor_generation + + +[Dataset] cur_step=4175 phase=B_anchor_generation[Dataset] cur_step=4175 phase=B_anchor_generation 46%|█████████████▉ | 4175/9000 [1:43:00<5:47:48, 4.33s/it] + +[Dataset] cur_step=4175 phase=B_anchor_generation +[Dataset] cur_step=4175 phase=B_anchor_generation + {'loss': '2.716', 'grad_norm': '1.911', 'learning_rate': '3.002e-05', 'epoch': '0.1502'} + 46%|█████████████▉ | 4175/9000 [1:43:00<5:47:48, 4.33s/it] {'lm_loss': '0.0001699', 'visual_loss': '2.754', 'seg_loss': '0.8217', 'dino_loss': '0.9421', 'depth_loss': '0.2159', 'vggt_mse_loss': '0.2145', 'vggt_cos_loss': '0.01421', 'pidinet_loss': '0.2455', 'siglip_loss': '0.5289', 'epoch': '0.1502'} + 46%|█████████████▉ | 4175/9000 [1:43:03<5:47:48, 4.33s/it][Dataset] cur_step=4176 phase=B_anchor_generation +[Dataset] cur_step=4176 phase=B_anchor_generation[Dataset] cur_step=4176 phase=B_anchor_generation + +[Dataset] cur_step=4176 phase=B_anchor_generation + 46%|█████████████▉ | 4176/9000 [1:43:04<5:45:41, 4.30s/it][Dataset] cur_step=4176 phase=B_anchor_generation +[Dataset] cur_step=4176 phase=B_anchor_generation +[Dataset] cur_step=4176 phase=B_anchor_generation +[Dataset] cur_step=4176 phase=B_anchor_generation + {'loss': '2.84', 'grad_norm': '1.655', 'learning_rate': '3.001e-05', 'epoch': '0.1502'} + 46%|█████████████▉ | 4176/9000 [1:43:04<5:45:41, 4.30s/it] {'lm_loss': '0.0004071', 'visual_loss': '2.387', 'seg_loss': '0.722', 'dino_loss': '0.8731', 'depth_loss': '0.299', 'vggt_mse_loss': '0.2976', 'vggt_cos_loss': '0.01345', 'pidinet_loss': '0.163', 'siglip_loss': '0.3298', 'epoch': '0.1502'} + 46%|█████████████▉ | 4176/9000 [1:43:07<5:45:41, 4.30s/it][Dataset] cur_step=4177 phase=B_anchor_generation +[Dataset] cur_step=4177 phase=B_anchor_generation[Dataset] cur_step=4177 phase=B_anchor_generation + +[Dataset] cur_step=4177 phase=B_anchor_generation +[Dataset] cur_step=4177 phase=B_anchor_generation[Dataset] cur_step=4177 phase=B_anchor_generation + + 46%|█████████████▉ | 4177/9000 [1:43:08<5:41:48, 4.25s/it][Dataset] cur_step=4177 phase=B_anchor_generation +[Dataset] cur_step=4177 phase=B_anchor_generation + {'loss': '2.803', 'grad_norm': '1.754', 'learning_rate': '3e-05', 'epoch': '0.1503'} + 46%|█████████████▉ | 4177/9000 [1:43:08<5:41:48, 4.25s/it] {'lm_loss': '0.0003693', 'visual_loss': '2.867', 'seg_loss': '0.8159', 'dino_loss': '0.9052', 'depth_loss': '0.2248', 'vggt_mse_loss': '0.2232', 'vggt_cos_loss': '0.01555', 'pidinet_loss': '0.2589', 'siglip_loss': '0.6624', 'epoch': '0.1503'} + 46%|█████████████▉ | 4177/9000 [1:43:11<5:41:48, 4.25s/it][Dataset] cur_step=4178 phase=B_anchor_generation +[Dataset] cur_step=4178 phase=B_anchor_generation +[Dataset] cur_step=4178 phase=B_anchor_generation +[Dataset] cur_step=4178 phase=B_anchor_generation +[Dataset] cur_step=4178 phase=B_anchor_generation +[Dataset] cur_step=4178 phase=B_anchor_generation + 46%|█████████████▉ | 4178/9000 [1:43:12<5:27:13, 4.07s/it][Dataset] cur_step=4178 phase=B_anchor_generation +[Dataset] cur_step=4178 phase=B_anchor_generation + {'loss': '2.934', 'grad_norm': '1.969', 'learning_rate': '2.999e-05', 'epoch': '0.1503'} + 46%|█████████████▉ | 4178/9000 [1:43:12<5:27:13, 4.07s/it] {'lm_loss': '0.0001415', 'visual_loss': '2.831', 'seg_loss': '0.8072', 'dino_loss': '0.9341', 'depth_loss': '0.2753', 'vggt_mse_loss': '0.2735', 'vggt_cos_loss': '0.01769', 'pidinet_loss': '0.2612', 'siglip_loss': '0.553', 'epoch': '0.1503'} + 46%|█████████████▉ | 4178/9000 [1:43:14<5:27:13, 4.07s/it][Dataset] cur_step=4179 phase=B_anchor_generation +[Dataset] cur_step=4179 phase=B_anchor_generation +[Dataset] cur_step=4179 phase=B_anchor_generation[Dataset] cur_step=4179 phase=B_anchor_generation[Dataset] cur_step=4179 phase=B_anchor_generation + + +[Dataset] cur_step=4179 phase=B_anchor_generation + 46%|█████████████▉ | 4179/9000 [1:43:15<5:13:01, 3.90s/it][Dataset] cur_step=4179 phase=B_anchor_generation +[Dataset] cur_step=4179 phase=B_anchor_generation + {'loss': '2.756', 'grad_norm': '2.086', 'learning_rate': '2.998e-05', 'epoch': '0.1503'} + 46%|█████████████▉ | 4179/9000 [1:43:15<5:13:01, 3.90s/it] {'lm_loss': '0.0005128', 'visual_loss': '3.037', 'seg_loss': '0.7778', 'dino_loss': '0.9156', 'depth_loss': '0.2212', 'vggt_mse_loss': '0.2197', 'vggt_cos_loss': '0.01456', 'pidinet_loss': '0.2985', 'siglip_loss': '0.824', 'epoch': '0.1503'} + 46%|█████████████▉ | 4179/9000 [1:43:18<5:13:01, 3.90s/it][Dataset] cur_step=4180 phase=B_anchor_generation +[Dataset] cur_step=4180 phase=B_anchor_generation +[Dataset] cur_step=4180 phase=B_anchor_generation +[Dataset] cur_step=4180 phase=B_anchor_generation[Dataset] cur_step=4180 phase=B_anchor_generation + +[Dataset] cur_step=4180 phase=B_anchor_generation 46%|█████████████▉ | 4180/9000 [1:43:19<5:16:46, 3.94s/it] +[Dataset] cur_step=4180 phase=B_anchor_generation +[Dataset] cur_step=4180 phase=B_anchor_generation + {'loss': '2.849', 'grad_norm': '1.324', 'learning_rate': '2.997e-05', 'epoch': '0.1504'} + 46%|█████████████▉ | 4180/9000 [1:43:19<5:16:46, 3.94s/it] {'lm_loss': '0.0001619', 'visual_loss': '2.908', 'seg_loss': '0.8105', 'dino_loss': '0.9153', 'depth_loss': '0.2636', 'vggt_mse_loss': '0.2621', 'vggt_cos_loss': '0.0158', 'pidinet_loss': '0.2303', 'siglip_loss': '0.6882', 'epoch': '0.1504'} + 46%|█████████████▉ | 4180/9000 [1:43:22<5:16:46, 3.94s/it][Dataset] cur_step=4181 phase=B_anchor_generation +[Dataset] cur_step=4181 phase=B_anchor_generation +[Dataset] cur_step=4181 phase=B_anchor_generation +[Dataset] cur_step=4181 phase=B_anchor_generation +[Dataset] cur_step=4181 phase=B_anchor_generation +[Dataset] cur_step=4181 phase=B_anchor_generation + 46%|█████████████▉ | 4181/9000 [1:43:24<5:45:05, 4.30s/it][Dataset] cur_step=4181 phase=B_anchor_generation +[Dataset] cur_step=4181 phase=B_anchor_generation + {'loss': '2.808', 'grad_norm': '1.515', 'learning_rate': '2.996e-05', 'epoch': '0.1504'} + 46%|█████████████▉ | 4181/9000 [1:43:24<5:45:05, 4.30s/it] {'lm_loss': '0.0002958', 'visual_loss': '2.808', 'seg_loss': '0.7584', 'dino_loss': '0.9071', 'depth_loss': '0.3501', 'vggt_mse_loss': '0.3485', 'vggt_cos_loss': '0.01613', 'pidinet_loss': '0.2086', 'siglip_loss': '0.5836', 'epoch': '0.1504'} + 46%|█████████████▉ | 4181/9000 [1:43:27<5:45:05, 4.30s/it][Dataset] cur_step=4182 phase=B_anchor_generation[Dataset] cur_step=4182 phase=B_anchor_generation + +[Dataset] cur_step=4182 phase=B_anchor_generation +[Dataset] cur_step=4182 phase=B_anchor_generation +[Dataset] cur_step=4182 phase=B_anchor_generation +[Dataset] cur_step=4182 phase=B_anchor_generation +[Dataset] cur_step=4182 phase=B_anchor_generation + 46%|█████████████▉ | 4182/9000 [1:43:28<5:35:00, 4.17s/it][Dataset] cur_step=4182 phase=B_anchor_generation + {'loss': '2.814', 'grad_norm': '1.083', 'learning_rate': '2.995e-05', 'epoch': '0.1504'} + 46%|█████████████▉ | 4182/9000 [1:43:28<5:35:00, 4.17s/it] {'lm_loss': '0.000285', 'visual_loss': '2.635', 'seg_loss': '0.7238', 'dino_loss': '0.9018', 'depth_loss': '0.2587', 'vggt_mse_loss': '0.2575', 'vggt_cos_loss': '0.01237', 'pidinet_loss': '0.2203', 'siglip_loss': '0.5306', 'epoch': '0.1504'} + 46%|█████████████▉ | 4182/9000 [1:43:31<5:35:00, 4.17s/it][Dataset] cur_step=4183 phase=B_anchor_generation +[Dataset] cur_step=4183 phase=B_anchor_generation[Dataset] cur_step=4183 phase=B_anchor_generation + +[Dataset] cur_step=4183 phase=B_anchor_generation[Dataset] cur_step=4183 phase=B_anchor_generation + +[Dataset] cur_step=4183 phase=B_anchor_generation + 46%|█████████████▉ | 4183/9000 [1:43:32<5:28:31, 4.09s/it][Dataset] cur_step=4183 phase=B_anchor_generation +[Dataset] cur_step=4183 phase=B_anchor_generation + {'loss': '2.705', 'grad_norm': '1.306', 'learning_rate': '2.995e-05', 'epoch': '0.1505'} + 46%|█████████████▉ | 4183/9000 [1:43:32<5:28:31, 4.09s/it] {'lm_loss': '0.0001045', 'visual_loss': '2.811', 'seg_loss': '0.7083', 'dino_loss': '0.9125', 'depth_loss': '0.3613', 'vggt_mse_loss': '0.3593', 'vggt_cos_loss': '0.01967', 'pidinet_loss': '0.2645', 'siglip_loss': '0.5647', 'epoch': '0.1505'} + 46%|█████████████▉ | 4183/9000 [1:43:35<5:28:31, 4.09s/it][Dataset] cur_step=4184 phase=B_anchor_generation +[Dataset] cur_step=4184 phase=B_anchor_generation +[Dataset] cur_step=4184 phase=B_anchor_generation +[Dataset] cur_step=4184 phase=B_anchor_generation +[Dataset] cur_step=4184 phase=B_anchor_generation +[Dataset] cur_step=4184 phase=B_anchor_generation + 46%|█████████████▉ | 4184/9000 [1:43:36<5:20:09, 3.99s/it][Dataset] cur_step=4184 phase=B_anchor_generation +[Dataset] cur_step=4184 phase=B_anchor_generation + {'loss': '2.753', 'grad_norm': '1.284', 'learning_rate': '2.994e-05', 'epoch': '0.1505'} + 46%|█████████████▉ | 4184/9000 [1:43:36<5:20:09, 3.99s/it] {'lm_loss': '0.0002877', 'visual_loss': '2.639', 'seg_loss': '0.6973', 'dino_loss': '0.8966', 'depth_loss': '0.2739', 'vggt_mse_loss': '0.2725', 'vggt_cos_loss': '0.0142', 'pidinet_loss': '0.1809', 'siglip_loss': '0.5904', 'epoch': '0.1505'} + 46%|█████████████▉ | 4184/9000 [1:43:39<5:20:09, 3.99s/it][Dataset] cur_step=4185 phase=B_anchor_generation +[Dataset] cur_step=4185 phase=B_anchor_generation +[Dataset] cur_step=4185 phase=B_anchor_generation +[Dataset] cur_step=4185 phase=B_anchor_generation +[Dataset] cur_step=4185 phase=B_anchor_generation +[Dataset] cur_step=4185 phase=B_anchor_generation + 46%|█████████████▉ | 4185/9000 [1:43:40<5:17:38, 3.96s/it][Dataset] cur_step=4185 phase=B_anchor_generation +[Dataset] cur_step=4185 phase=B_anchor_generation + {'loss': '2.776', 'grad_norm': '3.558', 'learning_rate': '2.993e-05', 'epoch': '0.1506'} + 46%|█████████████▉ | 4185/9000 [1:43:40<5:17:38, 3.96s/it] {'lm_loss': '0.0003527', 'visual_loss': '2.865', 'seg_loss': '0.8183', 'dino_loss': '0.8905', 'depth_loss': '0.3003', 'vggt_mse_loss': '0.2986', 'vggt_cos_loss': '0.01704', 'pidinet_loss': '0.23', 'siglip_loss': '0.6255', 'epoch': '0.1506'} + 46%|█████████████▉ | 4185/9000 [1:43:43<5:17:38, 3.96s/it][Dataset] cur_step=4186 phase=B_anchor_generation +[Dataset] cur_step=4186 phase=B_anchor_generation[Dataset] cur_step=4186 phase=B_anchor_generation + +[Dataset] cur_step=4186 phase=B_anchor_generation +[Dataset] cur_step=4186 phase=B_anchor_generation +[Dataset] cur_step=4186 phase=B_anchor_generation +[Dataset] cur_step=4186 phase=B_anchor_generation + 47%|█████████████▉ | 4186/9000 [1:43:43<5:11:39, 3.88s/it][Dataset] cur_step=4186 phase=B_anchor_generation + {'loss': '2.736', 'grad_norm': '3.605', 'learning_rate': '2.992e-05', 'epoch': '0.1506'} + 47%|█████████████▉ | 4186/9000 [1:43:43<5:11:39, 3.88s/it] {'lm_loss': '0.0002192', 'visual_loss': '2.639', 'seg_loss': '0.7727', 'dino_loss': '0.9272', 'depth_loss': '0.2398', 'vggt_mse_loss': '0.2384', 'vggt_cos_loss': '0.01412', 'pidinet_loss': '0.2623', 'siglip_loss': '0.4366', 'epoch': '0.1506'} + 47%|█████████████▉ | 4186/9000 [1:43:47<5:11:39, 3.88s/it][Dataset] cur_step=4187 phase=B_anchor_generation +[Dataset] cur_step=4187 phase=B_anchor_generation[Dataset] cur_step=4187 phase=B_anchor_generation[Dataset] cur_step=4187 phase=B_anchor_generation + + +[Dataset] cur_step=4187 phase=B_anchor_generation +[Dataset] cur_step=4187 phase=B_anchor_generation 47%|█████████████▉ | 4187/9000 [1:43:47<5:14:32, 3.92s/it] +[Dataset] cur_step=4187 phase=B_anchor_generation +[Dataset] cur_step=4187 phase=B_anchor_generation + {'loss': '2.78', 'grad_norm': '2.886', 'learning_rate': '2.991e-05', 'epoch': '0.1506'} + 47%|█████████████▉ | 4187/9000 [1:43:47<5:14:32, 3.92s/it] {'lm_loss': '0.0004551', 'visual_loss': '2.725', 'seg_loss': '0.6681', 'dino_loss': '0.9122', 'depth_loss': '0.2794', 'vggt_mse_loss': '0.2775', 'vggt_cos_loss': '0.01883', 'pidinet_loss': '0.2292', 'siglip_loss': '0.6364', 'epoch': '0.1506'} + 47%|█████████████▉ | 4187/9000 [1:43:50<5:14:32, 3.92s/it][Dataset] cur_step=4188 phase=B_anchor_generation +[Dataset] cur_step=4188 phase=B_anchor_generation +[Dataset] cur_step=4188 phase=B_anchor_generation[Dataset] cur_step=4188 phase=B_anchor_generation + +[Dataset] cur_step=4188 phase=B_anchor_generation + 47%|█████████████▉ | 4188/9000 [1:43:51<5:16:58, 3.95s/it][Dataset] cur_step=4188 phase=B_anchor_generation +[Dataset] cur_step=4188 phase=B_anchor_generation +[Dataset] cur_step=4188 phase=B_anchor_generation + {'loss': '2.729', 'grad_norm': '1.434', 'learning_rate': '2.99e-05', 'epoch': '0.1507'} + 47%|█████████████▉ | 4188/9000 [1:43:51<5:16:58, 3.95s/it] {'lm_loss': '0.0002505', 'visual_loss': '2.636', 'seg_loss': '0.6479', 'dino_loss': '0.923', 'depth_loss': '0.2753', 'vggt_mse_loss': '0.2739', 'vggt_cos_loss': '0.01423', 'pidinet_loss': '0.1865', 'siglip_loss': '0.6034', 'epoch': '0.1507'} + 47%|█████████████▉ | 4188/9000 [1:43:55<5:16:58, 3.95s/it][Dataset] cur_step=4189 phase=B_anchor_generation[Dataset] cur_step=4189 phase=B_anchor_generation + +[Dataset] cur_step=4189 phase=B_anchor_generation +[Dataset] cur_step=4189 phase=B_anchor_generation +[Dataset] cur_step=4189 phase=B_anchor_generation +[Dataset] cur_step=4189 phase=B_anchor_generation 47%|█████████████▉ | 4189/9000 [1:43:56<5:23:11, 4.03s/it] +[Dataset] cur_step=4189 phase=B_anchor_generation +[Dataset] cur_step=4189 phase=B_anchor_generation + {'loss': '2.783', 'grad_norm': '1.329', 'learning_rate': '2.989e-05', 'epoch': '0.1507'} + 47%|█████████████▉ | 4189/9000 [1:43:56<5:23:11, 4.03s/it] {'lm_loss': '0.0001274', 'visual_loss': '2.819', 'seg_loss': '0.7969', 'dino_loss': '0.9344', 'depth_loss': '0.2153', 'vggt_mse_loss': '0.2138', 'vggt_cos_loss': '0.01443', 'pidinet_loss': '0.2294', 'siglip_loss': '0.6429', 'epoch': '0.1507'} + 47%|█████████████▉ | 4189/9000 [1:43:58<5:23:11, 4.03s/it][Dataset] cur_step=4190 phase=B_anchor_generation +[Dataset] cur_step=4190 phase=B_anchor_generation +[Dataset] cur_step=4190 phase=B_anchor_generation +[Dataset] cur_step=4190 phase=B_anchor_generation +[Dataset] cur_step=4190 phase=B_anchor_generation +[Dataset] cur_step=4190 phase=B_anchor_generation + 47%|█████████████▉ | 4190/9000 [1:44:00<5:21:41, 4.01s/it][Dataset] cur_step=4190 phase=B_anchor_generation +[Dataset] cur_step=4190 phase=B_anchor_generation + {'loss': '2.848', 'grad_norm': '2.738', 'learning_rate': '2.988e-05', 'epoch': '0.1507'} + 47%|█████████████▉ | 4190/9000 [1:44:00<5:21:41, 4.01s/it] {'lm_loss': '0.0003409', 'visual_loss': '2.716', 'seg_loss': '0.6678', 'dino_loss': '0.9121', 'depth_loss': '0.2855', 'vggt_mse_loss': '0.2836', 'vggt_cos_loss': '0.01981', 'pidinet_loss': '0.2688', 'siglip_loss': '0.5816', 'epoch': '0.1507'} + 47%|█████████████▉ | 4190/9000 [1:44:03<5:21:41, 4.01s/it][Dataset] cur_step=4191 phase=B_anchor_generation +[Dataset] cur_step=4191 phase=B_anchor_generation + 47%|█████████████▉ | 4191/9000 [1:44:03<5:17:15, 3.96s/it][Dataset] cur_step=4191 phase=B_anchor_generation +[Dataset] cur_step=4191 phase=B_anchor_generation +[Dataset] cur_step=4191 phase=B_anchor_generation +[Dataset] cur_step=4191 phase=B_anchor_generation +[Dataset] cur_step=4191 phase=B_anchor_generation +[Dataset] cur_step=4191 phase=B_anchor_generation + {'loss': '2.731', 'grad_norm': '1.569', 'learning_rate': '2.987e-05', 'epoch': '0.1508'} + 47%|█████████████▉ | 4191/9000 [1:44:03<5:17:15, 3.96s/it] {'lm_loss': '0.0003483', 'visual_loss': '2.625', 'seg_loss': '0.7499', 'dino_loss': '0.91', 'depth_loss': '0.2477', 'vggt_mse_loss': '0.2456', 'vggt_cos_loss': '0.02061', 'pidinet_loss': '0.1992', 'siglip_loss': '0.5179', 'epoch': '0.1508'} + 47%|█████████████▉ | 4191/9000 [1:44:06<5:17:15, 3.96s/it][Dataset] cur_step=4192 phase=B_anchor_generation +[Dataset] cur_step=4192 phase=B_anchor_generation[Dataset] cur_step=4192 phase=B_anchor_generation + +[Dataset] cur_step=4192 phase=B_anchor_generation +[Dataset] cur_step=4192 phase=B_anchor_generation[Dataset] cur_step=4192 phase=B_anchor_generation + +[Dataset] cur_step=4192 phase=B_anchor_generation 47%|█████████████▉ | 4192/9000 [1:44:08<5:23:36, 4.04s/it] +[Dataset] cur_step=4192 phase=B_anchor_generation + {'loss': '2.744', 'grad_norm': '1.552', 'learning_rate': '2.986e-05', 'epoch': '0.1508'} + 47%|█████████████▉ | 4192/9000 [1:44:08<5:23:36, 4.04s/it] {'lm_loss': '0.0002792', 'visual_loss': '2.803', 'seg_loss': '0.7399', 'dino_loss': '0.9069', 'depth_loss': '0.2988', 'vggt_mse_loss': '0.2965', 'vggt_cos_loss': '0.02297', 'pidinet_loss': '0.2514', 'siglip_loss': '0.6056', 'epoch': '0.1508'} + 47%|█████████████▉ | 4192/9000 [1:44:11<5:23:36, 4.04s/it][Dataset] cur_step=4193 phase=B_anchor_generation +[Dataset] cur_step=4193 phase=B_anchor_generation[Dataset] cur_step=4193 phase=B_anchor_generation + +[Dataset] cur_step=4193 phase=B_anchor_generation[Dataset] cur_step=4193 phase=B_anchor_generation + + 47%|█████████████▉ | 4193/9000 [1:44:12<5:20:20, 4.00s/it][Dataset] cur_step=4193 phase=B_anchor_generation +[Dataset] cur_step=4193 phase=B_anchor_generation +[Dataset] cur_step=4193 phase=B_anchor_generation + {'loss': '2.882', 'grad_norm': '12.39', 'learning_rate': '2.986e-05', 'epoch': '0.1508'} + 47%|█████████████▉ | 4193/9000 [1:44:12<5:20:20, 4.00s/it] {'lm_loss': '0.0002992', 'visual_loss': '2.952', 'seg_loss': '0.8116', 'dino_loss': '0.9213', 'depth_loss': '0.2394', 'vggt_mse_loss': '0.238', 'vggt_cos_loss': '0.01389', 'pidinet_loss': '0.2772', 'siglip_loss': '0.7027', 'epoch': '0.1508'} + 47%|█████████████▉ | 4193/9000 [1:44:15<5:20:20, 4.00s/it][Dataset] cur_step=4194 phase=B_anchor_generation +[Dataset] cur_step=4194 phase=B_anchor_generation +[Dataset] cur_step=4194 phase=B_anchor_generation +[Dataset] cur_step=4194 phase=B_anchor_generation +[Dataset] cur_step=4194 phase=B_anchor_generation + 47%|█████████████▉ | 4194/9000 [1:44:15<5:17:40, 3.97s/it][Dataset] cur_step=4194 phase=B_anchor_generation +[Dataset] cur_step=4194 phase=B_anchor_generation +[Dataset] cur_step=4194 phase=B_anchor_generation + {'loss': '2.716', 'grad_norm': '2.049', 'learning_rate': '2.985e-05', 'epoch': '0.1509'} + 47%|█████████████▉ | 4194/9000 [1:44:15<5:17:40, 3.97s/it] {'lm_loss': '0.0002649', 'visual_loss': '2.39', 'seg_loss': '0.593', 'dino_loss': '0.8479', 'depth_loss': '0.2827', 'vggt_mse_loss': '0.2815', 'vggt_cos_loss': '0.0114', 'pidinet_loss': '0.1844', 'siglip_loss': '0.4818', 'epoch': '0.1509'} + 47%|█████████████▉ | 4194/9000 [1:44:19<5:17:40, 3.97s/it][Dataset] cur_step=4195 phase=B_anchor_generation[Dataset] cur_step=4195 phase=B_anchor_generation + +[Dataset] cur_step=4195 phase=B_anchor_generation +[Dataset] cur_step=4195 phase=B_anchor_generation + 47%|█████████████▉ | 4195/9000 [1:44:20<5:20:52, 4.01s/it][Dataset] cur_step=4195 phase=B_anchor_generation +[Dataset] cur_step=4195 phase=B_anchor_generation +[Dataset] cur_step=4195 phase=B_anchor_generation +[Dataset] cur_step=4195 phase=B_anchor_generation + {'loss': '2.756', 'grad_norm': '1.682', 'learning_rate': '2.984e-05', 'epoch': '0.1509'} + 47%|█████████████▉ | 4195/9000 [1:44:20<5:20:52, 4.01s/it] {'lm_loss': '0.0001982', 'visual_loss': '2.822', 'seg_loss': '0.6657', 'dino_loss': '0.9358', 'depth_loss': '0.2908', 'vggt_mse_loss': '0.2893', 'vggt_cos_loss': '0.01557', 'pidinet_loss': '0.2137', 'siglip_loss': '0.7157', 'epoch': '0.1509'} + 47%|█████████████▉ | 4195/9000 [1:44:23<5:20:52, 4.01s/it][Dataset] cur_step=4196 phase=B_anchor_generation +[Dataset] cur_step=4196 phase=B_anchor_generation +[Dataset] cur_step=4196 phase=B_anchor_generation +[Dataset] cur_step=4196 phase=B_anchor_generation +[Dataset] cur_step=4196 phase=B_anchor_generation 47%|█████████████▉ | 4196/9000 [1:44:24<5:20:49, 4.01s/it] +[Dataset] cur_step=4196 phase=B_anchor_generation +[Dataset] cur_step=4196 phase=B_anchor_generation +[Dataset] cur_step=4196 phase=B_anchor_generation + {'loss': '2.734', 'grad_norm': '1.473', 'learning_rate': '2.983e-05', 'epoch': '0.151'} + 47%|█████████████▉ | 4196/9000 [1:44:24<5:20:49, 4.01s/it] {'lm_loss': '0.0003722', 'visual_loss': '2.669', 'seg_loss': '0.61', 'dino_loss': '0.9192', 'depth_loss': '0.3087', 'vggt_mse_loss': '0.3063', 'vggt_cos_loss': '0.02362', 'pidinet_loss': '0.2003', 'siglip_loss': '0.631', 'epoch': '0.151'} + 47%|█████████████▉ | 4196/9000 [1:44:28<5:20:49, 4.01s/it][Dataset] cur_step=4197 phase=B_anchor_generation +[Dataset] cur_step=4197 phase=B_anchor_generation +[Dataset] cur_step=4197 phase=B_anchor_generation[Dataset] cur_step=4197 phase=B_anchor_generation + + 47%|█████████████▉ | 4197/9000 [1:44:28<5:29:30, 4.12s/it][Dataset] cur_step=4197 phase=B_anchor_generation +[Dataset] cur_step=4197 phase=B_anchor_generation +[Dataset] cur_step=4197 phase=B_anchor_generation +[Dataset] cur_step=4197 phase=B_anchor_generation + {'loss': '2.751', 'grad_norm': '1.227', 'learning_rate': '2.982e-05', 'epoch': '0.151'} + 47%|█████████████▉ | 4197/9000 [1:44:28<5:29:30, 4.12s/it] {'lm_loss': '0.0001344', 'visual_loss': '2.965', 'seg_loss': '0.8628', 'dino_loss': '0.9128', 'depth_loss': '0.2555', 'vggt_mse_loss': '0.2538', 'vggt_cos_loss': '0.01777', 'pidinet_loss': '0.2277', 'siglip_loss': '0.7061', 'epoch': '0.151'} + 47%|█████████████▉ | 4197/9000 [1:44:31<5:29:30, 4.12s/it][Dataset] cur_step=4198 phase=B_anchor_generation +[Dataset] cur_step=4198 phase=B_anchor_generation +[Dataset] cur_step=4198 phase=B_anchor_generation[Dataset] cur_step=4198 phase=B_anchor_generation + +[Dataset] cur_step=4198 phase=B_anchor_generation 47%|█████████████▉ | 4198/9000 [1:44:32<5:23:19, 4.04s/it] +[Dataset] cur_step=4198 phase=B_anchor_generation +[Dataset] cur_step=4198 phase=B_anchor_generation +[Dataset] cur_step=4198 phase=B_anchor_generation + {'loss': '2.857', 'grad_norm': '2.04', 'learning_rate': '2.981e-05', 'epoch': '0.151'} + 47%|█████████████▉ | 4198/9000 [1:44:32<5:23:19, 4.04s/it] {'lm_loss': '0.0003352', 'visual_loss': '3.011', 'seg_loss': '0.7534', 'dino_loss': '0.916', 'depth_loss': '0.4694', 'vggt_mse_loss': '0.466', 'vggt_cos_loss': '0.03392', 'pidinet_loss': '0.2664', 'siglip_loss': '0.6057', 'epoch': '0.151'} + 47%|█████████████▉ | 4198/9000 [1:44:35<5:23:19, 4.04s/it][Dataset] cur_step=4199 phase=B_anchor_generation +[Dataset] cur_step=4199 phase=B_anchor_generation +[Dataset] cur_step=4199 phase=B_anchor_generation +[Dataset] cur_step=4199 phase=B_anchor_generation +[Dataset] cur_step=4199 phase=B_anchor_generation[Dataset] cur_step=4199 phase=B_anchor_generation + +[Dataset] cur_step=4199 phase=B_anchor_generation + 47%|█████████████▉ | 4199/9000 [1:44:35<5:11:59, 3.90s/it][Dataset] cur_step=4199 phase=B_anchor_generation + {'loss': '2.76', 'grad_norm': '1.75', 'learning_rate': '2.98e-05', 'epoch': '0.1511'} + 47%|█████████████▉ | 4199/9000 [1:44:35<5:11:59, 3.90s/it] {'lm_loss': '0.0003104', 'visual_loss': '2.451', 'seg_loss': '0.6802', 'dino_loss': '0.8825', 'depth_loss': '0.2414', 'vggt_mse_loss': '0.2401', 'vggt_cos_loss': '0.01322', 'pidinet_loss': '0.2199', 'siglip_loss': '0.4266', 'epoch': '0.1511'} + 47%|█████████████▉ | 4199/9000 [1:44:38<5:11:59, 3.90s/it][Dataset] cur_step=4200 phase=B_anchor_generation +[Dataset] cur_step=4200 phase=B_anchor_generation +[Dataset] cur_step=4200 phase=B_anchor_generation +[Dataset] cur_step=4200 phase=B_anchor_generation +[Dataset] cur_step=4200 phase=B_anchor_generation[Dataset] cur_step=4200 phase=B_anchor_generation + +[Dataset] cur_step=4200 phase=B_anchor_generation + 47%|██████████████ | 4200/9000 [1:44:39<5:11:18, 3.89s/it][Dataset] cur_step=4200 phase=B_anchor_generation + {'loss': '2.692', 'grad_norm': '1.605', 'learning_rate': '2.979e-05', 'epoch': '0.1511'} + 47%|██████████████ | 4200/9000 [1:44:39<5:11:18, 3.89s/it] {'lm_loss': '0.0002261', 'visual_loss': '2.525', 'seg_loss': '0.7437', 'dino_loss': '0.9163', 'depth_loss': '0.2672', 'vggt_mse_loss': '0.2657', 'vggt_cos_loss': '0.01529', 'pidinet_loss': '0.2164', 'siglip_loss': '0.3812', 'epoch': '0.1511'} + 47%|██████████████ | 4200/9000 [1:44:42<5:11:18, 3.89s/it][Dataset] cur_step=4201 phase=B_anchor_generation +[Dataset] cur_step=4201 phase=B_anchor_generation +[Dataset] cur_step=4201 phase=B_anchor_generation[Dataset] cur_step=4201 phase=B_anchor_generation + +[Dataset] cur_step=4201 phase=B_anchor_generation +[Dataset] cur_step=4201 phase=B_anchor_generation + 47%|██████████████ | 4201/9000 [1:44:43<5:09:24, 3.87s/it][Dataset] cur_step=4201 phase=B_anchor_generation +[Dataset] cur_step=4201 phase=B_anchor_generation + {'loss': '2.715', 'grad_norm': '2.923', 'learning_rate': '2.978e-05', 'epoch': '0.1511'} + 47%|██████████████ | 4201/9000 [1:44:43<5:09:24, 3.87s/it] {'lm_loss': '0.0004875', 'visual_loss': '2.744', 'seg_loss': '0.7615', 'dino_loss': '0.9083', 'depth_loss': '0.2075', 'vggt_mse_loss': '0.206', 'vggt_cos_loss': '0.01464', 'pidinet_loss': '0.2462', 'siglip_loss': '0.6208', 'epoch': '0.1511'} + 47%|██████████████ | 4201/9000 [1:44:46<5:09:24, 3.87s/it][Dataset] cur_step=4202 phase=B_anchor_generation +[Dataset] cur_step=4202 phase=B_anchor_generation +[Dataset] cur_step=4202 phase=B_anchor_generation +[Dataset] cur_step=4202 phase=B_anchor_generation[Dataset] cur_step=4202 phase=B_anchor_generation + +[Dataset] cur_step=4202 phase=B_anchor_generation +[Dataset] cur_step=4202 phase=B_anchor_generation + 47%|██████████████ | 4202/9000 [1:44:47<5:10:46, 3.89s/it][Dataset] cur_step=4202 phase=B_anchor_generation + {'loss': '2.811', 'grad_norm': '1.715', 'learning_rate': '2.977e-05', 'epoch': '0.1512'} + 47%|██████████████ | 4202/9000 [1:44:47<5:10:46, 3.89s/it] {'lm_loss': '9.208e-05', 'visual_loss': '2.75', 'seg_loss': '0.6813', 'dino_loss': '0.9025', 'depth_loss': '0.2714', 'vggt_mse_loss': '0.2694', 'vggt_cos_loss': '0.01956', 'pidinet_loss': '0.2211', 'siglip_loss': '0.6738', 'epoch': '0.1512'} + 47%|██████████████ | 4202/9000 [1:44:50<5:10:46, 3.89s/it][Dataset] cur_step=4203 phase=B_anchor_generation[Dataset] cur_step=4203 phase=B_anchor_generation + +[Dataset] cur_step=4203 phase=B_anchor_generation[Dataset] cur_step=4203 phase=B_anchor_generation + +[Dataset] cur_step=4203 phase=B_anchor_generation +[Dataset] cur_step=4203 phase=B_anchor_generation + 47%|██████████████ | 4203/9000 [1:44:51<5:11:05, 3.89s/it][Dataset] cur_step=4203 phase=B_anchor_generation +[Dataset] cur_step=4203 phase=B_anchor_generation + {'loss': '2.796', 'grad_norm': '1.699', 'learning_rate': '2.977e-05', 'epoch': '0.1512'} + 47%|██████████████ | 4203/9000 [1:44:51<5:11:05, 3.89s/it] {'lm_loss': '0.000179', 'visual_loss': '3.065', 'seg_loss': '0.8439', 'dino_loss': '0.954', 'depth_loss': '0.333', 'vggt_mse_loss': '0.3312', 'vggt_cos_loss': '0.0179', 'pidinet_loss': '0.2554', 'siglip_loss': '0.6787', 'epoch': '0.1512'} + 47%|██████████████ | 4203/9000 [1:44:54<5:11:05, 3.89s/it][Dataset] cur_step=4204 phase=B_anchor_generation + 47%|██████████████ | 4204/9000 [1:44:55<5:17:44, 3.98s/it][Dataset] cur_step=4204 phase=B_anchor_generation +[Dataset] cur_step=4204 phase=B_anchor_generation +[Dataset] cur_step=4204 phase=B_anchor_generation[Dataset] cur_step=4204 phase=B_anchor_generation + +[Dataset] cur_step=4204 phase=B_anchor_generation[Dataset] cur_step=4204 phase=B_anchor_generation + +[Dataset] cur_step=4204 phase=B_anchor_generation + {'loss': '2.914', 'grad_norm': '5.502', 'learning_rate': '2.976e-05', 'epoch': '0.1512'} + 47%|██████████████ | 4204/9000 [1:44:55<5:17:44, 3.98s/it] {'lm_loss': '0.0004879', 'visual_loss': '2.775', 'seg_loss': '0.7455', 'dino_loss': '0.9151', 'depth_loss': '0.2105', 'vggt_mse_loss': '0.2091', 'vggt_cos_loss': '0.01411', 'pidinet_loss': '0.2468', 'siglip_loss': '0.6568', 'epoch': '0.1512'} + 47%|██████████████ | 4204/9000 [1:44:58<5:17:44, 3.98s/it][Dataset] cur_step=4205 phase=B_anchor_generation +[Dataset] cur_step=4205 phase=B_anchor_generation +[Dataset] cur_step=4205 phase=B_anchor_generation +[Dataset] cur_step=4205 phase=B_anchor_generation +[Dataset] cur_step=4205 phase=B_anchor_generation +[Dataset] cur_step=4205 phase=B_anchor_generation[Dataset] cur_step=4205 phase=B_anchor_generation + +[Dataset] cur_step=4205 phase=B_anchor_generation + 47%|██████████████ | 4205/9000 [1:44:59<5:10:17, 3.88s/it] {'loss': '2.822', 'grad_norm': '1.828', 'learning_rate': '2.975e-05', 'epoch': '0.1513'} + 47%|██████████████ | 4205/9000 [1:44:59<5:10:17, 3.88s/it] {'lm_loss': '0.0003736', 'visual_loss': '2.636', 'seg_loss': '0.7119', 'dino_loss': '0.904', 'depth_loss': '0.3246', 'vggt_mse_loss': '0.3227', 'vggt_cos_loss': '0.01909', 'pidinet_loss': '0.2192', 'siglip_loss': '0.4761', 'epoch': '0.1513'} + 47%|██████████████ | 4205/9000 [1:45:02<5:10:17, 3.88s/it][Dataset] cur_step=4206 phase=B_anchor_generation[Dataset] cur_step=4206 phase=B_anchor_generation + +[Dataset] cur_step=4206 phase=B_anchor_generation +[Dataset] cur_step=4206 phase=B_anchor_generation[Dataset] cur_step=4206 phase=B_anchor_generation + +[Dataset] cur_step=4206 phase=B_anchor_generation +[Dataset] cur_step=4206 phase=B_anchor_generation +[Dataset] cur_step=4206 phase=B_anchor_generation + 47%|██████████████ | 4206/9000 [1:45:02<5:07:07, 3.84s/it] {'loss': '2.772', 'grad_norm': '1.629', 'learning_rate': '2.974e-05', 'epoch': '0.1513'} + 47%|██████████████ | 4206/9000 [1:45:02<5:07:07, 3.84s/it] {'lm_loss': '0.0002666', 'visual_loss': '2.696', 'seg_loss': '0.5337', 'dino_loss': '0.8698', 'depth_loss': '0.3788', 'vggt_mse_loss': '0.3766', 'vggt_cos_loss': '0.02207', 'pidinet_loss': '0.2839', 'siglip_loss': '0.6293', 'epoch': '0.1513'} + 47%|██████████████ | 4206/9000 [1:45:06<5:07:07, 3.84s/it][Dataset] cur_step=4207 phase=B_anchor_generation +[Dataset] cur_step=4207 phase=B_anchor_generation + 47%|██████████████ | 4207/9000 [1:45:07<5:17:00, 3.97s/it][Dataset] cur_step=4207 phase=B_anchor_generation +[Dataset] cur_step=4207 phase=B_anchor_generation +[Dataset] cur_step=4207 phase=B_anchor_generation +[Dataset] cur_step=4207 phase=B_anchor_generation[Dataset] cur_step=4207 phase=B_anchor_generation + +[Dataset] cur_step=4207 phase=B_anchor_generation + {'loss': '2.723', 'grad_norm': '1.216', 'learning_rate': '2.973e-05', 'epoch': '0.1513'} + 47%|██████████████ | 4207/9000 [1:45:07<5:17:00, 3.97s/it] {'lm_loss': '0.000384', 'visual_loss': '2.764', 'seg_loss': '0.6706', 'dino_loss': '0.9122', 'depth_loss': '0.3255', 'vggt_mse_loss': '0.3233', 'vggt_cos_loss': '0.02223', 'pidinet_loss': '0.2097', 'siglip_loss': '0.646', 'epoch': '0.1513'} + 47%|██████████████ | 4207/9000 [1:45:10<5:17:00, 3.97s/it][Dataset] cur_step=4208 phase=B_anchor_generation +[Dataset] cur_step=4208 phase=B_anchor_generation +[Dataset] cur_step=4208 phase=B_anchor_generation +[Dataset] cur_step=4208 phase=B_anchor_generation[Dataset] cur_step=4208 phase=B_anchor_generation + +[Dataset] cur_step=4208 phase=B_anchor_generation +[Dataset] cur_step=4208 phase=B_anchor_generation + 47%|██████████████ | 4208/9000 [1:45:10<5:09:32, 3.88s/it][Dataset] cur_step=4208 phase=B_anchor_generation + {'loss': '2.84', 'grad_norm': '2.793', 'learning_rate': '2.972e-05', 'epoch': '0.1514'} + 47%|██████████████ | 4208/9000 [1:45:10<5:09:32, 3.88s/it] {'lm_loss': '0.0003069', 'visual_loss': '2.323', 'seg_loss': '0.6984', 'dino_loss': '0.8731', 'depth_loss': '0.3159', 'vggt_mse_loss': '0.3147', 'vggt_cos_loss': '0.01186', 'pidinet_loss': '0.1524', 'siglip_loss': '0.2829', 'epoch': '0.1514'} + 47%|██████████████ | 4208/9000 [1:45:14<5:09:32, 3.88s/it][Dataset] cur_step=4209 phase=B_anchor_generation +[Dataset] cur_step=4209 phase=B_anchor_generation +[Dataset] cur_step=4209 phase=B_anchor_generation[Dataset] cur_step=4209 phase=B_anchor_generation + +[Dataset] cur_step=4209 phase=B_anchor_generation +[Dataset] cur_step=4209 phase=B_anchor_generation + 47%|██████████████ | 4209/9000 [1:45:14<5:05:45, 3.83s/it][Dataset] cur_step=4209 phase=B_anchor_generation +[Dataset] cur_step=4209 phase=B_anchor_generation + {'loss': '2.678', 'grad_norm': '2.288', 'learning_rate': '2.971e-05', 'epoch': '0.1514'} + 47%|██████████████ | 4209/9000 [1:45:14<5:05:45, 3.83s/it] {'lm_loss': '0.0003099', 'visual_loss': '2.804', 'seg_loss': '0.7434', 'dino_loss': '0.935', 'depth_loss': '0.2893', 'vggt_mse_loss': '0.2873', 'vggt_cos_loss': '0.02001', 'pidinet_loss': '0.2474', 'siglip_loss': '0.5888', 'epoch': '0.1514'} + 47%|██████████████ | 4209/9000 [1:45:17<5:05:45, 3.83s/it][Dataset] cur_step=4210 phase=B_anchor_generation +[Dataset] cur_step=4210 phase=B_anchor_generation +[Dataset] cur_step=4210 phase=B_anchor_generation +[Dataset] cur_step=4210 phase=B_anchor_generation +[Dataset] cur_step=4210 phase=B_anchor_generation +[Dataset] cur_step=4210 phase=B_anchor_generation +[Dataset] cur_step=4210 phase=B_anchor_generation + 47%|██████████████ | 4210/9000 [1:45:18<5:02:03, 3.78s/it][Dataset] cur_step=4210 phase=B_anchor_generation + {'loss': '2.792', 'grad_norm': '1.495', 'learning_rate': '2.97e-05', 'epoch': '0.1515'} + 47%|██████████████ | 4210/9000 [1:45:18<5:02:03, 3.78s/it] {'lm_loss': '0.0005229', 'visual_loss': '2.813', 'seg_loss': '0.8404', 'dino_loss': '0.919', 'depth_loss': '0.3248', 'vggt_mse_loss': '0.3225', 'vggt_cos_loss': '0.02339', 'pidinet_loss': '0.19', 'siglip_loss': '0.5386', 'epoch': '0.1515'} + 47%|██████████████ | 4210/9000 [1:45:21<5:02:03, 3.78s/it][Dataset] cur_step=4211 phase=B_anchor_generation +[Dataset] cur_step=4211 phase=B_anchor_generation +[Dataset] cur_step=4211 phase=B_anchor_generation[Dataset] cur_step=4211 phase=B_anchor_generation + +[Dataset] cur_step=4211 phase=B_anchor_generation + 47%|██████████████ | 4211/9000 [1:45:22<5:05:10, 3.82s/it][Dataset] cur_step=4211 phase=B_anchor_generation +[Dataset] cur_step=4211 phase=B_anchor_generation +[Dataset] cur_step=4211 phase=B_anchor_generation + {'loss': '2.737', 'grad_norm': '1.63', 'learning_rate': '2.969e-05', 'epoch': '0.1515'} + 47%|██████████████ | 4211/9000 [1:45:22<5:05:10, 3.82s/it] {'lm_loss': '0.0003644', 'visual_loss': '2.814', 'seg_loss': '0.6967', 'dino_loss': '0.9477', 'depth_loss': '0.2502', 'vggt_mse_loss': '0.2483', 'vggt_cos_loss': '0.01862', 'pidinet_loss': '0.23', 'siglip_loss': '0.6892', 'epoch': '0.1515'} + 47%|██████████████ | 4211/9000 [1:45:24<5:05:10, 3.82s/it][Dataset] cur_step=4212 phase=B_anchor_generation +[Dataset] cur_step=4212 phase=B_anchor_generation +[Dataset] cur_step=4212 phase=B_anchor_generation +[Dataset] cur_step=4212 phase=B_anchor_generation[Dataset] cur_step=4212 phase=B_anchor_generation + +[Dataset] cur_step=4212 phase=B_anchor_generation[Dataset] cur_step=4212 phase=B_anchor_generation + + 47%|██████████████ | 4212/9000 [1:45:26<5:12:43, 3.92s/it][Dataset] cur_step=4212 phase=B_anchor_generation + {'loss': '2.834', 'grad_norm': '2.91', 'learning_rate': '2.968e-05', 'epoch': '0.1515'} + 47%|██████████████ | 4212/9000 [1:45:26<5:12:43, 3.92s/it] {'lm_loss': '0.0002505', 'visual_loss': '2.797', 'seg_loss': '0.8307', 'dino_loss': '0.9224', 'depth_loss': '0.2434', 'vggt_mse_loss': '0.2415', 'vggt_cos_loss': '0.01976', 'pidinet_loss': '0.2262', 'siglip_loss': '0.5742', 'epoch': '0.1515'} + 47%|██████████████ | 4212/9000 [1:45:29<5:12:43, 3.92s/it][Dataset] cur_step=4213 phase=B_anchor_generation +[Dataset] cur_step=4213 phase=B_anchor_generation +[Dataset] cur_step=4213 phase=B_anchor_generation +[Dataset] cur_step=4213 phase=B_anchor_generation +[Dataset] cur_step=4213 phase=B_anchor_generation[Dataset] cur_step=4213 phase=B_anchor_generation + +[Dataset] cur_step=4213 phase=B_anchor_generation + 47%|██████████████ | 4213/9000 [1:45:30<5:14:54, 3.95s/it][Dataset] cur_step=4213 phase=B_anchor_generation + {'loss': '2.682', 'grad_norm': '1.565', 'learning_rate': '2.968e-05', 'epoch': '0.1516'} + 47%|██████████████ | 4213/9000 [1:45:30<5:14:54, 3.95s/it] {'lm_loss': '0.0001529', 'visual_loss': '2.924', 'seg_loss': '0.8334', 'dino_loss': '0.9187', 'depth_loss': '0.2786', 'vggt_mse_loss': '0.2765', 'vggt_cos_loss': '0.02083', 'pidinet_loss': '0.2622', 'siglip_loss': '0.6311', 'epoch': '0.1516'} + 47%|██████████████ | 4213/9000 [1:45:33<5:14:54, 3.95s/it][Dataset] cur_step=4214 phase=B_anchor_generation +[Dataset] cur_step=4214 phase=B_anchor_generation +[Dataset] cur_step=4214 phase=B_anchor_generation +[Dataset] cur_step=4214 phase=B_anchor_generation +[Dataset] cur_step=4214 phase=B_anchor_generation +[Dataset] cur_step=4214 phase=B_anchor_generation[Dataset] cur_step=4214 phase=B_anchor_generation + + 47%|██████████████ | 4214/9000 [1:45:34<5:16:09, 3.96s/it][Dataset] cur_step=4214 phase=B_anchor_generation + {'loss': '2.79', 'grad_norm': '8.891', 'learning_rate': '2.967e-05', 'epoch': '0.1516'} + 47%|██████████████ | 4214/9000 [1:45:34<5:16:09, 3.96s/it] {'lm_loss': '0.0002501', 'visual_loss': '2.425', 'seg_loss': '0.5879', 'dino_loss': '0.9048', 'depth_loss': '0.2456', 'vggt_mse_loss': '0.2443', 'vggt_cos_loss': '0.0136', 'pidinet_loss': '0.1528', 'siglip_loss': '0.5339', 'epoch': '0.1516'} + 47%|██████████████ | 4214/9000 [1:45:37<5:16:09, 3.96s/it][Dataset] cur_step=4215 phase=B_anchor_generation +[Dataset] cur_step=4215 phase=B_anchor_generation +[Dataset] cur_step=4215 phase=B_anchor_generation[Dataset] cur_step=4215 phase=B_anchor_generation + + 47%|██████████████ | 4215/9000 [1:45:38<5:16:25, 3.97s/it][Dataset] cur_step=4215 phase=B_anchor_generation +[Dataset] cur_step=4215 phase=B_anchor_generation +[Dataset] cur_step=4215 phase=B_anchor_generation +[Dataset] cur_step=4215 phase=B_anchor_generation + {'loss': '2.688', 'grad_norm': '1.414', 'learning_rate': '2.966e-05', 'epoch': '0.1516'} + 47%|██████████████ | 4215/9000 [1:45:38<5:16:25, 3.97s/it] {'lm_loss': '0.0003067', 'visual_loss': '2.847', 'seg_loss': '0.7646', 'dino_loss': '0.9119', 'depth_loss': '0.2832', 'vggt_mse_loss': '0.2814', 'vggt_cos_loss': '0.01892', 'pidinet_loss': '0.2631', 'siglip_loss': '0.6247', 'epoch': '0.1516'} + 47%|██████████████ | 4215/9000 [1:45:41<5:16:25, 3.97s/it][Dataset] cur_step=4216 phase=B_anchor_generation +[Dataset] cur_step=4216 phase=B_anchor_generation +[Dataset] cur_step=4216 phase=B_anchor_generation +[Dataset] cur_step=4216 phase=B_anchor_generation +[Dataset] cur_step=4216 phase=B_anchor_generation +[Dataset] cur_step=4216 phase=B_anchor_generation +[Dataset] cur_step=4216 phase=B_anchor_generation +[Dataset] cur_step=4216 phase=B_anchor_generation + 47%|██████████████ | 4216/9000 [1:45:42<5:26:38, 4.10s/it] {'loss': '2.862', 'grad_norm': '1.947', 'learning_rate': '2.965e-05', 'epoch': '0.1517'} + 47%|██████████████ | 4216/9000 [1:45:42<5:26:38, 4.10s/it] {'lm_loss': '0.0001368', 'visual_loss': '3.102', 'seg_loss': '0.8059', 'dino_loss': '0.9099', 'depth_loss': '0.3937', 'vggt_mse_loss': '0.3913', 'vggt_cos_loss': '0.02338', 'pidinet_loss': '0.2093', 'siglip_loss': '0.7828', 'epoch': '0.1517'} + 47%|██████████████ | 4216/9000 [1:45:46<5:26:38, 4.10s/it][Dataset] cur_step=4217 phase=B_anchor_generation +[Dataset] cur_step=4217 phase=B_anchor_generation[Dataset] cur_step=4217 phase=B_anchor_generation + +[Dataset] cur_step=4217 phase=B_anchor_generation + 47%|██████████████ | 4217/9000 [1:45:47<5:32:17, 4.17s/it][Dataset] cur_step=4217 phase=B_anchor_generation +[Dataset] cur_step=4217 phase=B_anchor_generation +[Dataset] cur_step=4217 phase=B_anchor_generation +[Dataset] cur_step=4217 phase=B_anchor_generation + {'loss': '2.809', 'grad_norm': '2.036', 'learning_rate': '2.964e-05', 'epoch': '0.1517'} + 47%|██████████████ | 4217/9000 [1:45:47<5:32:17, 4.17s/it] {'lm_loss': '0.0002717', 'visual_loss': '2.771', 'seg_loss': '0.6871', 'dino_loss': '0.9218', 'depth_loss': '0.3017', 'vggt_mse_loss': '0.2994', 'vggt_cos_loss': '0.02384', 'pidinet_loss': '0.2824', 'siglip_loss': '0.5784', 'epoch': '0.1517'} + 47%|██████████████ | 4217/9000 [1:45:52<5:32:17, 4.17s/it][Dataset] cur_step=4218 phase=B_anchor_generation + 47%|██████████████ | 4218/9000 [1:45:53<6:21:08, 4.78s/it][Dataset] cur_step=4218 phase=B_anchor_generation +[Dataset] cur_step=4218 phase=B_anchor_generation[Dataset] cur_step=4218 phase=B_anchor_generation + +[Dataset] cur_step=4218 phase=B_anchor_generation +[Dataset] cur_step=4218 phase=B_anchor_generation +[Dataset] cur_step=4218 phase=B_anchor_generation +[Dataset] cur_step=4218 phase=B_anchor_generation + {'loss': '2.666', 'grad_norm': '1.362', 'learning_rate': '2.963e-05', 'epoch': '0.1517'} + 47%|██████████████ | 4218/9000 [1:45:53<6:21:08, 4.78s/it] {'lm_loss': '0.000161', 'visual_loss': '2.834', 'seg_loss': '0.7971', 'dino_loss': '0.9376', 'depth_loss': '0.347', 'vggt_mse_loss': '0.3446', 'vggt_cos_loss': '0.02388', 'pidinet_loss': '0.2562', 'siglip_loss': '0.4964', 'epoch': '0.1517'} + 47%|██████████████ | 4218/9000 [1:45:56<6:21:08, 4.78s/it][Dataset] cur_step=4219 phase=B_anchor_generation[Dataset] cur_step=4219 phase=B_anchor_generation + +[Dataset] cur_step=4219 phase=B_anchor_generation +[Dataset] cur_step=4219 phase=B_anchor_generation[Dataset] cur_step=4219 phase=B_anchor_generation + +[Dataset] cur_step=4219 phase=B_anchor_generation +[Dataset] cur_step=4219 phase=B_anchor_generation + 47%|██████████████ | 4219/9000 [1:45:59<6:49:49, 5.14s/it][Dataset] cur_step=4219 phase=B_anchor_generation + {'loss': '2.781', 'grad_norm': '1.373', 'learning_rate': '2.962e-05', 'epoch': '0.1518'} + 47%|██████████████ | 4219/9000 [1:45:59<6:49:49, 5.14s/it] {'lm_loss': '0.0001633', 'visual_loss': '2.416', 'seg_loss': '0.6782', 'dino_loss': '0.8801', 'depth_loss': '0.3047', 'vggt_mse_loss': '0.3032', 'vggt_cos_loss': '0.01457', 'pidinet_loss': '0.1559', 'siglip_loss': '0.3976', 'epoch': '0.1518'} + 47%|██████████████ | 4219/9000 [1:46:02<6:49:49, 5.14s/it][Dataset] cur_step=4220 phase=B_anchor_generation[Dataset] cur_step=4220 phase=B_anchor_generation + +[Dataset] cur_step=4220 phase=B_anchor_generation[Dataset] cur_step=4220 phase=B_anchor_generation + + 47%|██████████████ | 4220/9000 [1:46:03<6:18:56, 4.76s/it][Dataset] cur_step=4220 phase=B_anchor_generation[Dataset] cur_step=4220 phase=B_anchor_generation + +[Dataset] cur_step=4220 phase=B_anchor_generation +[Dataset] cur_step=4220 phase=B_anchor_generation + {'loss': '2.914', 'grad_norm': '2.421', 'learning_rate': '2.961e-05', 'epoch': '0.1518'} + 47%|██████████████ | 4220/9000 [1:46:03<6:18:56, 4.76s/it] {'lm_loss': '0.0001477', 'visual_loss': '2.961', 'seg_loss': '0.6479', 'dino_loss': '0.9398', 'depth_loss': '0.6345', 'vggt_mse_loss': '0.6272', 'vggt_cos_loss': '0.0723', 'pidinet_loss': '0.2079', 'siglip_loss': '0.5305', 'epoch': '0.1518'} + 47%|██████████████ | 4220/9000 [1:46:06<6:18:56, 4.76s/it][Dataset] cur_step=4221 phase=B_anchor_generation +[Dataset] cur_step=4221 phase=B_anchor_generation +[Dataset] cur_step=4221 phase=B_anchor_generation +[Dataset] cur_step=4221 phase=B_anchor_generation +[Dataset] cur_step=4221 phase=B_anchor_generation + 47%|██████████████ | 4221/9000 [1:46:07<6:06:56, 4.61s/it][Dataset] cur_step=4221 phase=B_anchor_generation +[Dataset] cur_step=4221 phase=B_anchor_generation +[Dataset] cur_step=4221 phase=B_anchor_generation + {'loss': '2.805', 'grad_norm': '2.026', 'learning_rate': '2.96e-05', 'epoch': '0.1519'} + 47%|██████████████ | 4221/9000 [1:46:07<6:06:56, 4.61s/it] {'lm_loss': '0.0001573', 'visual_loss': '2.859', 'seg_loss': '0.7478', 'dino_loss': '0.891', 'depth_loss': '0.3216', 'vggt_mse_loss': '0.3202', 'vggt_cos_loss': '0.01377', 'pidinet_loss': '0.2335', 'siglip_loss': '0.6653', 'epoch': '0.1519'} + 47%|██████████████ | 4221/9000 [1:46:10<6:06:56, 4.61s/it][Dataset] cur_step=4222 phase=B_anchor_generation +[Dataset] cur_step=4222 phase=B_anchor_generation +[Dataset] cur_step=4222 phase=B_anchor_generation[Dataset] cur_step=4222 phase=B_anchor_generation + +[Dataset] cur_step=4222 phase=B_anchor_generation + 47%|██████████████ | 4222/9000 [1:46:11<5:44:12, 4.32s/it][Dataset] cur_step=4222 phase=B_anchor_generation +[Dataset] cur_step=4222 phase=B_anchor_generation +[Dataset] cur_step=4222 phase=B_anchor_generation + {'loss': '2.853', 'grad_norm': '1.377', 'learning_rate': '2.959e-05', 'epoch': '0.1519'} + 47%|██████████████ | 4222/9000 [1:46:11<5:44:12, 4.32s/it] {'lm_loss': '0.0002651', 'visual_loss': '2.774', 'seg_loss': '0.7475', 'dino_loss': '0.9075', 'depth_loss': '0.2633', 'vggt_mse_loss': '0.2615', 'vggt_cos_loss': '0.01796', 'pidinet_loss': '0.19', 'siglip_loss': '0.6659', 'epoch': '0.1519'} + 47%|██████████████ | 4222/9000 [1:46:14<5:44:12, 4.32s/it][Dataset] cur_step=4223 phase=B_anchor_generation[Dataset] cur_step=4223 phase=B_anchor_generation + +[Dataset] cur_step=4223 phase=B_anchor_generation +[Dataset] cur_step=4223 phase=B_anchor_generation +[Dataset] cur_step=4223 phase=B_anchor_generation + 47%|██████████████ | 4223/9000 [1:46:15<5:44:44, 4.33s/it][Dataset] cur_step=4223 phase=B_anchor_generation +[Dataset] cur_step=4223 phase=B_anchor_generation +[Dataset] cur_step=4223 phase=B_anchor_generation + {'loss': '2.809', 'grad_norm': '1.515', 'learning_rate': '2.959e-05', 'epoch': '0.1519'} + 47%|██████████████ | 4223/9000 [1:46:15<5:44:44, 4.33s/it] {'lm_loss': '0.0001742', 'visual_loss': '2.905', 'seg_loss': '0.7112', 'dino_loss': '0.9133', 'depth_loss': '0.2618', 'vggt_mse_loss': '0.2599', 'vggt_cos_loss': '0.01894', 'pidinet_loss': '0.2841', 'siglip_loss': '0.7349', 'epoch': '0.1519'} + 47%|██████████████ | 4223/9000 [1:46:18<5:44:44, 4.33s/it][Dataset] cur_step=4224 phase=B_anchor_generation +[Dataset] cur_step=4224 phase=B_anchor_generation[Dataset] cur_step=4224 phase=B_anchor_generation + +[Dataset] cur_step=4224 phase=B_anchor_generation +[Dataset] cur_step=4224 phase=B_anchor_generation +[Dataset] cur_step=4224 phase=B_anchor_generation + 47%|██████████████ | 4224/9000 [1:46:19<5:31:23, 4.16s/it][Dataset] cur_step=4224 phase=B_anchor_generation +[Dataset] cur_step=4224 phase=B_anchor_generation + {'loss': '2.873', 'grad_norm': '1.554', 'learning_rate': '2.958e-05', 'epoch': '0.152'} + 47%|██████████████ | 4224/9000 [1:46:19<5:31:23, 4.16s/it] {'lm_loss': '0.0001106', 'visual_loss': '2.78', 'seg_loss': '0.8108', 'dino_loss': '0.9257', 'depth_loss': '0.2652', 'vggt_mse_loss': '0.2638', 'vggt_cos_loss': '0.01387', 'pidinet_loss': '0.2154', 'siglip_loss': '0.5629', 'epoch': '0.152'} + 47%|██████████████ | 4224/9000 [1:46:21<5:31:23, 4.16s/it][Dataset] cur_step=4225 phase=B_anchor_generation[Dataset] cur_step=4225 phase=B_anchor_generation + +[Dataset] cur_step=4225 phase=B_anchor_generation +[Dataset] cur_step=4225 phase=B_anchor_generation + 47%|██████████████ | 4225/9000 [1:46:23<5:27:32, 4.12s/it][Dataset] cur_step=4225 phase=B_anchor_generation[Dataset] cur_step=4225 phase=B_anchor_generation + +[Dataset] cur_step=4225 phase=B_anchor_generation +[Dataset] cur_step=4225 phase=B_anchor_generation + {'loss': '2.838', 'grad_norm': '4.722', 'learning_rate': '2.957e-05', 'epoch': '0.152'} + 47%|██████████████ | 4225/9000 [1:46:23<5:27:32, 4.12s/it] {'lm_loss': '0.0004378', 'visual_loss': '2.803', 'seg_loss': '0.7061', 'dino_loss': '0.9132', 'depth_loss': '0.2097', 'vggt_mse_loss': '0.2083', 'vggt_cos_loss': '0.01441', 'pidinet_loss': '0.2625', 'siglip_loss': '0.7112', 'epoch': '0.152'} + 47%|██████████████ | 4225/9000 [1:46:26<5:27:32, 4.12s/it][Dataset] cur_step=4226 phase=B_anchor_generation +[Dataset] cur_step=4226 phase=B_anchor_generation +[Dataset] cur_step=4226 phase=B_anchor_generation +[Dataset] cur_step=4226 phase=B_anchor_generation +[Dataset] cur_step=4226 phase=B_anchor_generation +[Dataset] cur_step=4226 phase=B_anchor_generation + 47%|██████████████ | 4226/9000 [1:46:26<5:18:51, 4.01s/it][Dataset] cur_step=4226 phase=B_anchor_generation +[Dataset] cur_step=4226 phase=B_anchor_generation + {'loss': '2.839', 'grad_norm': '3.921', 'learning_rate': '2.956e-05', 'epoch': '0.152'} + 47%|██████████████ | 4226/9000 [1:46:26<5:18:51, 4.01s/it] {'lm_loss': '0.0002054', 'visual_loss': '2.579', 'seg_loss': '0.614', 'dino_loss': '0.8852', 'depth_loss': '0.313', 'vggt_mse_loss': '0.3108', 'vggt_cos_loss': '0.02166', 'pidinet_loss': '0.1587', 'siglip_loss': '0.6086', 'epoch': '0.152'} + 47%|██████████████ | 4226/9000 [1:46:29<5:18:51, 4.01s/it][Dataset] cur_step=4227 phase=B_anchor_generation +[Dataset] cur_step=4227 phase=B_anchor_generation +[Dataset] cur_step=4227 phase=B_anchor_generation +[Dataset] cur_step=4227 phase=B_anchor_generation +[Dataset] cur_step=4227 phase=B_anchor_generation[Dataset] cur_step=4227 phase=B_anchor_generation + + 47%|██████████████ | 4227/9000 [1:46:30<5:15:07, 3.96s/it][Dataset] cur_step=4227 phase=B_anchor_generation[Dataset] cur_step=4227 phase=B_anchor_generation + + {'loss': '2.819', 'grad_norm': '1.762', 'learning_rate': '2.955e-05', 'epoch': '0.1521'} + 47%|██████████████ | 4227/9000 [1:46:30<5:15:07, 3.96s/it] {'lm_loss': '0.0001496', 'visual_loss': '2.64', 'seg_loss': '0.7822', 'dino_loss': '0.9136', 'depth_loss': '0.2379', 'vggt_mse_loss': '0.2369', 'vggt_cos_loss': '0.01035', 'pidinet_loss': '0.1843', 'siglip_loss': '0.5225', 'epoch': '0.1521'} + 47%|██████████████ | 4227/9000 [1:46:33<5:15:07, 3.96s/it][Dataset] cur_step=4228 phase=B_anchor_generation +[Dataset] cur_step=4228 phase=B_anchor_generation +[Dataset] cur_step=4228 phase=B_anchor_generation +[Dataset] cur_step=4228 phase=B_anchor_generation +[Dataset] cur_step=4228 phase=B_anchor_generation +[Dataset] cur_step=4228 phase=B_anchor_generation + 47%|██████████████ | 4228/9000 [1:46:34<5:13:18, 3.94s/it][Dataset] cur_step=4228 phase=B_anchor_generation +[Dataset] cur_step=4228 phase=B_anchor_generation + {'loss': '2.832', 'grad_norm': '2.903', 'learning_rate': '2.954e-05', 'epoch': '0.1521'} + 47%|██████████████ | 4228/9000 [1:46:34<5:13:18, 3.94s/it] {'lm_loss': '0.0006863', 'visual_loss': '2.871', 'seg_loss': '0.7346', 'dino_loss': '0.8824', 'depth_loss': '0.345', 'vggt_mse_loss': '0.3426', 'vggt_cos_loss': '0.02399', 'pidinet_loss': '0.265', 'siglip_loss': '0.6437', 'epoch': '0.1521'} + 47%|██████████████ | 4228/9000 [1:46:37<5:13:18, 3.94s/it][Dataset] cur_step=4229 phase=B_anchor_generation +[Dataset] cur_step=4229 phase=B_anchor_generation +[Dataset] cur_step=4229 phase=B_anchor_generation +[Dataset] cur_step=4229 phase=B_anchor_generation +[Dataset] cur_step=4229 phase=B_anchor_generation +[Dataset] cur_step=4229 phase=B_anchor_generation + 47%|██████████████ | 4229/9000 [1:46:38<5:15:52, 3.97s/it][Dataset] cur_step=4229 phase=B_anchor_generation +[Dataset] cur_step=4229 phase=B_anchor_generation + {'loss': '2.882', 'grad_norm': '1.793', 'learning_rate': '2.953e-05', 'epoch': '0.1521'} + 47%|██████████████ | 4229/9000 [1:46:38<5:15:52, 3.97s/it] {'lm_loss': '0.0003701', 'visual_loss': '2.669', 'seg_loss': '0.5737', 'dino_loss': '0.896', 'depth_loss': '0.221', 'vggt_mse_loss': '0.2194', 'vggt_cos_loss': '0.01631', 'pidinet_loss': '0.263', 'siglip_loss': '0.7156', 'epoch': '0.1521'} + 47%|██████████████ | 4229/9000 [1:46:42<5:15:52, 3.97s/it][Dataset] cur_step=4230 phase=B_anchor_generation +[Dataset] cur_step=4230 phase=B_anchor_generation +[Dataset] cur_step=4230 phase=B_anchor_generation +[Dataset] cur_step=4230 phase=B_anchor_generation +[Dataset] cur_step=4230 phase=B_anchor_generation +[Dataset] cur_step=4230 phase=B_anchor_generation + 47%|██████████████ | 4230/9000 [1:46:44<6:03:18, 4.57s/it][Dataset] cur_step=4230 phase=B_anchor_generation +[Dataset] cur_step=4230 phase=B_anchor_generation + {'loss': '2.704', 'grad_norm': '1.701', 'learning_rate': '2.952e-05', 'epoch': '0.1522'} + 47%|██████████████ | 4230/9000 [1:46:44<6:03:18, 4.57s/it] {'lm_loss': '0.0002089', 'visual_loss': '2.897', 'seg_loss': '0.7292', 'dino_loss': '0.9095', 'depth_loss': '0.2828', 'vggt_mse_loss': '0.2811', 'vggt_cos_loss': '0.01647', 'pidinet_loss': '0.2785', 'siglip_loss': '0.6973', 'epoch': '0.1522'} + 47%|██████████████ | 4230/9000 [1:46:47<6:03:18, 4.57s/it][Dataset] cur_step=4231 phase=B_anchor_generation +[Dataset] cur_step=4231 phase=B_anchor_generation +[Dataset] cur_step=4231 phase=B_anchor_generation +[Dataset] cur_step=4231 phase=B_anchor_generation +[Dataset] cur_step=4231 phase=B_anchor_generation +[Dataset] cur_step=4231 phase=B_anchor_generation +[Dataset] cur_step=4231 phase=B_anchor_generation +[Dataset] cur_step=4231 phase=B_anchor_generation + 47%|██████████████ | 4231/9000 [1:46:48<5:54:14, 4.46s/it] {'loss': '2.833', 'grad_norm': '1.319', 'learning_rate': '2.951e-05', 'epoch': '0.1522'} + 47%|██████████████ | 4231/9000 [1:46:48<5:54:14, 4.46s/it] {'lm_loss': '0.000138', 'visual_loss': '2.775', 'seg_loss': '0.7948', 'dino_loss': '0.8983', 'depth_loss': '0.3163', 'vggt_mse_loss': '0.3143', 'vggt_cos_loss': '0.01916', 'pidinet_loss': '0.2368', 'siglip_loss': '0.5284', 'epoch': '0.1522'} + 47%|██████████████ | 4231/9000 [1:46:51<5:54:14, 4.46s/it][Dataset] cur_step=4232 phase=B_anchor_generation +[Dataset] cur_step=4232 phase=B_anchor_generation +[Dataset] cur_step=4232 phase=B_anchor_generation[Dataset] cur_step=4232 phase=B_anchor_generation +[Dataset] cur_step=4232 phase=B_anchor_generation + +[Dataset] cur_step=4232 phase=B_anchor_generation +[Dataset] cur_step=4232 phase=B_anchor_generation 47%|██████████████ | 4232/9000 [1:46:52<5:33:56, 4.20s/it] +[Dataset] cur_step=4232 phase=B_anchor_generation + {'loss': '2.925', 'grad_norm': '1.868', 'learning_rate': '2.95e-05', 'epoch': '0.1522'} + 47%|██████████████ | 4232/9000 [1:46:52<5:33:56, 4.20s/it] {'lm_loss': '0.0002845', 'visual_loss': '2.975', 'seg_loss': '0.8104', 'dino_loss': '0.8949', 'depth_loss': '0.2899', 'vggt_mse_loss': '0.2875', 'vggt_cos_loss': '0.02397', 'pidinet_loss': '0.2614', 'siglip_loss': '0.7189', 'epoch': '0.1522'} + 47%|██████████████ | 4232/9000 [1:46:54<5:33:56, 4.20s/it][Dataset] cur_step=4233 phase=B_anchor_generation +[Dataset] cur_step=4233 phase=B_anchor_generation +[Dataset] cur_step=4233 phase=B_anchor_generation +[Dataset] cur_step=4233 phase=B_anchor_generation + 47%|██████████████ | 4233/9000 [1:46:58<6:15:30, 4.73s/it][Dataset] cur_step=4233 phase=B_anchor_generation +[Dataset] cur_step=4233 phase=B_anchor_generation +[Dataset] cur_step=4233 phase=B_anchor_generation +[Dataset] cur_step=4233 phase=B_anchor_generation + {'loss': '2.726', 'grad_norm': '2.015', 'learning_rate': '2.949e-05', 'epoch': '0.1523'} + 47%|██████████████ | 4233/9000 [1:46:58<6:15:30, 4.73s/it] {'lm_loss': '0.0003945', 'visual_loss': '2.659', 'seg_loss': '0.7553', 'dino_loss': '0.8604', 'depth_loss': '0.2826', 'vggt_mse_loss': '0.2814', 'vggt_cos_loss': '0.01236', 'pidinet_loss': '0.2111', 'siglip_loss': '0.5496', 'epoch': '0.1523'} + 47%|██████████████ | 4233/9000 [1:47:01<6:15:30, 4.73s/it][Dataset] cur_step=4234 phase=B_anchor_generation +[Dataset] cur_step=4234 phase=B_anchor_generation +[Dataset] cur_step=4234 phase=B_anchor_generation +[Dataset] cur_step=4234 phase=B_anchor_generation +[Dataset] cur_step=4234 phase=B_anchor_generation +[Dataset] cur_step=4234 phase=B_anchor_generation +[Dataset] cur_step=4234 phase=B_anchor_generation[Dataset] cur_step=4234 phase=B_anchor_generation + + 47%|██████████████ | 4234/9000 [1:47:02<5:53:18, 4.45s/it] {'loss': '2.877', 'grad_norm': '2.013', 'learning_rate': '2.949e-05', 'epoch': '0.1523'} + 47%|██████████████ | 4234/9000 [1:47:02<5:53:18, 4.45s/it] {'lm_loss': '0.0003172', 'visual_loss': '2.994', 'seg_loss': '0.8772', 'dino_loss': '0.8957', 'depth_loss': '0.2861', 'vggt_mse_loss': '0.2841', 'vggt_cos_loss': '0.01988', 'pidinet_loss': '0.2854', 'siglip_loss': '0.6499', 'epoch': '0.1523'} + 47%|██████████████ | 4234/9000 [1:47:05<5:53:18, 4.45s/it][Dataset] cur_step=4235 phase=B_anchor_generation +[Dataset] cur_step=4235 phase=B_anchor_generation +[Dataset] cur_step=4235 phase=B_anchor_generation +[Dataset] cur_step=4235 phase=B_anchor_generation +[Dataset] cur_step=4235 phase=B_anchor_generation[Dataset] cur_step=4235 phase=B_anchor_generation + + 47%|██████████████ | 4235/9000 [1:47:06<5:38:05, 4.26s/it][Dataset] cur_step=4235 phase=B_anchor_generation +[Dataset] cur_step=4235 phase=B_anchor_generation + {'loss': '2.739', 'grad_norm': '1.873', 'learning_rate': '2.948e-05', 'epoch': '0.1524'} + 47%|██████████████ | 4235/9000 [1:47:06<5:38:05, 4.26s/it] {'lm_loss': '0.0001488', 'visual_loss': '2.919', 'seg_loss': '0.7568', 'dino_loss': '0.9173', 'depth_loss': '0.2771', 'vggt_mse_loss': '0.2757', 'vggt_cos_loss': '0.01323', 'pidinet_loss': '0.2226', 'siglip_loss': '0.7451', 'epoch': '0.1524'} + 47%|██████████████ | 4235/9000 [1:47:09<5:38:05, 4.26s/it][Dataset] cur_step=4236 phase=B_anchor_generation +[Dataset] cur_step=4236 phase=B_anchor_generation +[Dataset] cur_step=4236 phase=B_anchor_generation +[Dataset] cur_step=4236 phase=B_anchor_generation +[Dataset] cur_step=4236 phase=B_anchor_generation 47%|██████████████ | 4236/9000 [1:47:09<5:26:49, 4.12s/it] +[Dataset] cur_step=4236 phase=B_anchor_generation +[Dataset] cur_step=4236 phase=B_anchor_generation[Dataset] cur_step=4236 phase=B_anchor_generation + + {'loss': '2.802', 'grad_norm': '1.634', 'learning_rate': '2.947e-05', 'epoch': '0.1524'} + 47%|██████████████ | 4236/9000 [1:47:09<5:26:49, 4.12s/it] {'lm_loss': '0.0001763', 'visual_loss': '2.626', 'seg_loss': '0.768', 'dino_loss': '0.8801', 'depth_loss': '0.3069', 'vggt_mse_loss': '0.3057', 'vggt_cos_loss': '0.01287', 'pidinet_loss': '0.2104', 'siglip_loss': '0.4607', 'epoch': '0.1524'} + 47%|██████████████ | 4236/9000 [1:47:12<5:26:49, 4.12s/it][Dataset] cur_step=4237 phase=B_anchor_generation +[Dataset] cur_step=4237 phase=B_anchor_generation +[Dataset] cur_step=4237 phase=B_anchor_generation +[Dataset] cur_step=4237 phase=B_anchor_generation[Dataset] cur_step=4237 phase=B_anchor_generation + +[Dataset] cur_step=4237 phase=B_anchor_generation 47%|██████████████ | 4237/9000 [1:47:16<6:37:49, 5.01s/it] +[Dataset] cur_step=4237 phase=B_anchor_generation[Dataset] cur_step=4237 phase=B_anchor_generation + + {'loss': '2.664', 'grad_norm': '0.9804', 'learning_rate': '2.946e-05', 'epoch': '0.1524'} + 47%|██████████████ | 4237/9000 [1:47:16<6:37:49, 5.01s/it] {'lm_loss': '0.0002259', 'visual_loss': '2.804', 'seg_loss': '0.7278', 'dino_loss': '0.9178', 'depth_loss': '0.2305', 'vggt_mse_loss': '0.2289', 'vggt_cos_loss': '0.01644', 'pidinet_loss': '0.2652', 'siglip_loss': '0.663', 'epoch': '0.1524'} + 47%|██████████████ | 4237/9000 [1:47:19<6:37:49, 5.01s/it][Dataset] cur_step=4238 phase=B_anchor_generation +[Dataset] cur_step=4238 phase=B_anchor_generation +[Dataset] cur_step=4238 phase=B_anchor_generation[Dataset] cur_step=4238 phase=B_anchor_generation + +[Dataset] cur_step=4238 phase=B_anchor_generation +[Dataset] cur_step=4238 phase=B_anchor_generation + 47%|██████████████▏ | 4238/9000 [1:47:20<6:13:06, 4.70s/it][Dataset] cur_step=4238 phase=B_anchor_generation +[Dataset] cur_step=4238 phase=B_anchor_generation + {'loss': '2.773', 'grad_norm': '1.442', 'learning_rate': '2.945e-05', 'epoch': '0.1525'} + 47%|██████████████▏ | 4238/9000 [1:47:20<6:13:06, 4.70s/it] {'lm_loss': '0.0006213', 'visual_loss': '2.705', 'seg_loss': '0.7321', 'dino_loss': '0.9333', 'depth_loss': '0.2284', 'vggt_mse_loss': '0.2269', 'vggt_cos_loss': '0.01428', 'pidinet_loss': '0.241', 'siglip_loss': '0.5707', 'epoch': '0.1525'} + 47%|██████████████▏ | 4238/9000 [1:47:23<6:13:06, 4.70s/it][Dataset] cur_step=4239 phase=B_anchor_generation +[Dataset] cur_step=4239 phase=B_anchor_generation +[Dataset] cur_step=4239 phase=B_anchor_generation +[Dataset] cur_step=4239 phase=B_anchor_generation +[Dataset] cur_step=4239 phase=B_anchor_generation +[Dataset] cur_step=4239 phase=B_anchor_generation +[Dataset] cur_step=4239 phase=B_anchor_generation +[Dataset] cur_step=4239 phase=B_anchor_generation 47%|██████████████▏ | 4239/9000 [1:47:24<5:51:44, 4.43s/it] + {'loss': '2.743', 'grad_norm': '3.612', 'learning_rate': '2.944e-05', 'epoch': '0.1525'} + 47%|██████████████▏ | 4239/9000 [1:47:24<5:51:44, 4.43s/it] {'lm_loss': '0.0002396', 'visual_loss': '2.651', 'seg_loss': '0.67', 'dino_loss': '0.929', 'depth_loss': '0.2275', 'vggt_mse_loss': '0.2261', 'vggt_cos_loss': '0.01459', 'pidinet_loss': '0.237', 'siglip_loss': '0.5873', 'epoch': '0.1525'} + 47%|██████████████▏ | 4239/9000 [1:47:27<5:51:44, 4.43s/it][Dataset] cur_step=4240 phase=B_anchor_generation +[Dataset] cur_step=4240 phase=B_anchor_generation[Dataset] cur_step=4240 phase=B_anchor_generation + +[Dataset] cur_step=4240 phase=B_anchor_generation[Dataset] cur_step=4240 phase=B_anchor_generation + +[Dataset] cur_step=4240 phase=B_anchor_generation 47%|██████████████▏ | 4240/9000 [1:47:28<5:44:08, 4.34s/it] +[Dataset] cur_step=4240 phase=B_anchor_generation +[Dataset] cur_step=4240 phase=B_anchor_generation + {'loss': '2.795', 'grad_norm': '2.073', 'learning_rate': '2.943e-05', 'epoch': '0.1525'} + 47%|██████████████▏ | 4240/9000 [1:47:28<5:44:08, 4.34s/it] {'lm_loss': '0.0004232', 'visual_loss': '2.834', 'seg_loss': '0.7032', 'dino_loss': '0.905', 'depth_loss': '0.1947', 'vggt_mse_loss': '0.1932', 'vggt_cos_loss': '0.01557', 'pidinet_loss': '0.2629', 'siglip_loss': '0.7682', 'epoch': '0.1525'} + 47%|██████████████▏ | 4240/9000 [1:47:31<5:44:08, 4.34s/it][Dataset] cur_step=4241 phase=B_anchor_generation +[Dataset] cur_step=4241 phase=B_anchor_generation +[Dataset] cur_step=4241 phase=B_anchor_generation +[Dataset] cur_step=4241 phase=B_anchor_generation +[Dataset] cur_step=4241 phase=B_anchor_generation 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cur_step=4242 phase=B_anchor_generation +[Dataset] cur_step=4242 phase=B_anchor_generation +[Dataset] cur_step=4242 phase=B_anchor_generation + {'loss': '2.83', 'grad_norm': '1.766', 'learning_rate': '2.941e-05', 'epoch': '0.1526'} + 47%|██████████████▏ | 4242/9000 [1:47:38<5:58:59, 4.53s/it] {'lm_loss': '0.0003645', 'visual_loss': '3.031', 'seg_loss': '0.8372', 'dino_loss': '0.9341', 'depth_loss': '0.4029', 'vggt_mse_loss': '0.4005', 'vggt_cos_loss': '0.02339', 'pidinet_loss': '0.2711', 'siglip_loss': '0.5854', 'epoch': '0.1526'} + 47%|██████████████▏ | 4242/9000 [1:47:41<5:58:59, 4.53s/it][Dataset] cur_step=4243 phase=B_anchor_generation[Dataset] cur_step=4243 phase=B_anchor_generation + +[Dataset] cur_step=4243 phase=B_anchor_generation[Dataset] cur_step=4243 phase=B_anchor_generation +[Dataset] cur_step=4243 phase=B_anchor_generation + +[Dataset] cur_step=4243 phase=B_anchor_generation +[Dataset] cur_step=4243 phase=B_anchor_generation +[Dataset] cur_step=4243 phase=B_anchor_generation + 47%|██████████████▏ | 4243/9000 [1:47:42<5:46:26, 4.37s/it] {'loss': '2.827', 'grad_norm': '1.513', 'learning_rate': '2.94e-05', 'epoch': '0.1526'} + 47%|██████████████▏ | 4243/9000 [1:47:42<5:46:26, 4.37s/it] {'lm_loss': '0.0003815', 'visual_loss': '2.961', 'seg_loss': '0.8247', 'dino_loss': '0.9261', 'depth_loss': '0.3306', 'vggt_mse_loss': '0.3292', 'vggt_cos_loss': '0.01385', 'pidinet_loss': '0.2399', 'siglip_loss': '0.64', 'epoch': '0.1526'} + 47%|██████████████▏ | 4243/9000 [1:47:45<5:46:26, 4.37s/it][Dataset] cur_step=4244 phase=B_anchor_generation +[Dataset] cur_step=4244 phase=B_anchor_generation +[Dataset] cur_step=4244 phase=B_anchor_generation +[Dataset] cur_step=4244 phase=B_anchor_generation[Dataset] cur_step=4244 phase=B_anchor_generation + +[Dataset] cur_step=4244 phase=B_anchor_generation + 47%|██████████████▏ | 4244/9000 [1:47:48<6:14:26, 4.72s/it][Dataset] cur_step=4244 phase=B_anchor_generation +[Dataset] cur_step=4244 phase=B_anchor_generation + {'loss': '2.734', 'grad_norm': '1.506', 'learning_rate': '2.94e-05', 'epoch': '0.1527'} + 47%|██████████████▏ | 4244/9000 [1:47:48<6:14:26, 4.72s/it] {'lm_loss': '0.0001842', 'visual_loss': '2.383', 'seg_loss': '0.6416', 'dino_loss': '0.854', 'depth_loss': '0.2892', 'vggt_mse_loss': '0.2876', 'vggt_cos_loss': '0.01615', 'pidinet_loss': '0.162', 'siglip_loss': '0.436', 'epoch': '0.1527'} + 47%|██████████████▏ | 4244/9000 [1:47:51<6:14:26, 4.72s/it][Dataset] cur_step=4245 phase=B_anchor_generation +[Dataset] cur_step=4245 phase=B_anchor_generation +[Dataset] cur_step=4245 phase=B_anchor_generation[Dataset] cur_step=4245 phase=B_anchor_generation + + 47%|██████████████▏ | 4245/9000 [1:47:52<6:04:39, 4.60s/it][Dataset] cur_step=4245 phase=B_anchor_generation +[Dataset] cur_step=4245 phase=B_anchor_generation +[Dataset] cur_step=4245 phase=B_anchor_generation +[Dataset] cur_step=4245 phase=B_anchor_generation + {'loss': '2.688', 'grad_norm': '1.483', 'learning_rate': '2.939e-05', 'epoch': '0.1527'} + 47%|██████████████▏ | 4245/9000 [1:47:52<6:04:39, 4.60s/it] {'lm_loss': '0.0003875', 'visual_loss': '2.801', 'seg_loss': '0.6813', 'dino_loss': '0.9302', 'depth_loss': '0.2564', 'vggt_mse_loss': '0.2545', 'vggt_cos_loss': '0.01904', 'pidinet_loss': '0.2282', 'siglip_loss': '0.7046', 'epoch': '0.1527'} + 47%|██████████████▏ | 4245/9000 [1:47:56<6:04:39, 4.60s/it][Dataset] cur_step=4246 phase=B_anchor_generation +[Dataset] cur_step=4246 phase=B_anchor_generation +[Dataset] cur_step=4246 phase=B_anchor_generation +[Dataset] cur_step=4246 phase=B_anchor_generation[Dataset] cur_step=4246 phase=B_anchor_generation + +[Dataset] cur_step=4246 phase=B_anchor_generation + 47%|██████████████▏ | 4246/9000 [1:47:56<5:48:45, 4.40s/it][Dataset] cur_step=4246 phase=B_anchor_generation +[Dataset] cur_step=4246 phase=B_anchor_generation + {'loss': '2.713', 'grad_norm': '1.454', 'learning_rate': '2.938e-05', 'epoch': '0.1528'} + 47%|██████████████▏ | 4246/9000 [1:47:56<5:48:45, 4.40s/it] {'lm_loss': '0.0004884', 'visual_loss': '2.976', 'seg_loss': '0.8679', 'dino_loss': '0.9049', 'depth_loss': '0.213', 'vggt_mse_loss': '0.2115', 'vggt_cos_loss': '0.01515', 'pidinet_loss': '0.2438', 'siglip_loss': '0.7467', 'epoch': '0.1528'} + 47%|██████████████▏ | 4246/9000 [1:47:59<5:48:45, 4.40s/it][Dataset] cur_step=4247 phase=B_anchor_generation +[Dataset] cur_step=4247 phase=B_anchor_generation +[Dataset] cur_step=4247 phase=B_anchor_generation[Dataset] cur_step=4247 phase=B_anchor_generation[Dataset] cur_step=4247 phase=B_anchor_generation + + +[Dataset] cur_step=4247 phase=B_anchor_generation +[Dataset] cur_step=4247 phase=B_anchor_generation +[Dataset] cur_step=4247 phase=B_anchor_generation + 47%|██████████████▏ | 4247/9000 [1:48:00<5:38:23, 4.27s/it] {'loss': '2.853', 'grad_norm': '1.286', 'learning_rate': '2.937e-05', 'epoch': '0.1528'} + 47%|██████████████▏ | 4247/9000 [1:48:00<5:38:23, 4.27s/it] {'lm_loss': '0.0002315', 'visual_loss': '2.429', 'seg_loss': '0.6575', 'dino_loss': '0.8923', 'depth_loss': '0.3182', 'vggt_mse_loss': '0.3161', 'vggt_cos_loss': '0.02048', 'pidinet_loss': '0.2003', 'siglip_loss': '0.3605', 'epoch': '0.1528'} + 47%|██████████████▏ | 4247/9000 [1:48:03<5:38:23, 4.27s/it][Dataset] cur_step=4248 phase=B_anchor_generation +[Dataset] cur_step=4248 phase=B_anchor_generation +[Dataset] cur_step=4248 phase=B_anchor_generation[Dataset] cur_step=4248 phase=B_anchor_generation + +[Dataset] cur_step=4248 phase=B_anchor_generation +[Dataset] cur_step=4248 phase=B_anchor_generation 47%|██████████████▏ | 4248/9000 [1:48:06<6:24:06, 4.85s/it] +[Dataset] cur_step=4248 phase=B_anchor_generation +[Dataset] cur_step=4248 phase=B_anchor_generation + {'loss': '2.593', 'grad_norm': '1.374', 'learning_rate': '2.936e-05', 'epoch': '0.1528'} + 47%|██████████████▏ | 4248/9000 [1:48:06<6:24:06, 4.85s/it] {'lm_loss': '0.0001875', 'visual_loss': '2.917', 'seg_loss': '0.7373', 'dino_loss': '0.9413', 'depth_loss': '0.3566', 'vggt_mse_loss': '0.3547', 'vggt_cos_loss': '0.01896', 'pidinet_loss': '0.2196', 'siglip_loss': '0.6623', 'epoch': '0.1528'} + 47%|██████████████▏ | 4248/9000 [1:48:09<6:24:06, 4.85s/it][Dataset] cur_step=4249 phase=B_anchor_generation +[Dataset] cur_step=4249 phase=B_anchor_generation +[Dataset] cur_step=4249 phase=B_anchor_generation[Dataset] cur_step=4249 phase=B_anchor_generation +[Dataset] cur_step=4249 phase=B_anchor_generation[Dataset] cur_step=4249 phase=B_anchor_generation + + +[Dataset] cur_step=4249 phase=B_anchor_generation +[Dataset] cur_step=4249 phase=B_anchor_generation + 47%|██████████████▏ | 4249/9000 [1:48:10<5:53:33, 4.47s/it] {'loss': '2.723', 'grad_norm': '1.443', 'learning_rate': '2.935e-05', 'epoch': '0.1529'} + 47%|██████████████▏ | 4249/9000 [1:48:10<5:53:33, 4.47s/it] {'lm_loss': '0.0002977', 'visual_loss': '2.778', 'seg_loss': '0.844', 'dino_loss': '0.9045', 'depth_loss': '0.2288', 'vggt_mse_loss': '0.2272', 'vggt_cos_loss': '0.01608', 'pidinet_loss': '0.235', 'siglip_loss': '0.5657', 'epoch': '0.1529'} + 47%|██████████████▏ | 4249/9000 [1:48:13<5:53:33, 4.47s/it][Dataset] cur_step=4250 phase=B_anchor_generation +[Dataset] cur_step=4250 phase=B_anchor_generation[Dataset] cur_step=4250 phase=B_anchor_generation + +[Dataset] cur_step=4250 phase=B_anchor_generation +[Dataset] cur_step=4250 phase=B_anchor_generation[Dataset] cur_step=4250 phase=B_anchor_generation + +[Dataset] cur_step=4250 phase=B_anchor_generation + 47%|██████████████▏ | 4250/9000 [1:48:14<5:44:02, 4.35s/it][Dataset] cur_step=4250 phase=B_anchor_generation + {'loss': '2.758', 'grad_norm': '1.691', 'learning_rate': '2.934e-05', 'epoch': '0.1529'} + 47%|██████████████▏ | 4250/9000 [1:48:14<5:44:02, 4.35s/it] {'lm_loss': '0.0002439', 'visual_loss': '2.544', 'seg_loss': '0.7514', 'dino_loss': '0.8921', 'depth_loss': '0.3173', 'vggt_mse_loss': '0.3152', 'vggt_cos_loss': '0.02113', 'pidinet_loss': '0.1846', 'siglip_loss': '0.3987', 'epoch': '0.1529'} + 47%|██████████████▏ | 4250/9000 [1:48:17<5:44:02, 4.35s/it][Dataset] cur_step=4251 phase=B_anchor_generation +[Dataset] cur_step=4251 phase=B_anchor_generation +[Dataset] cur_step=4251 phase=B_anchor_generation[Dataset] cur_step=4251 phase=B_anchor_generation + +[Dataset] cur_step=4251 phase=B_anchor_generation[Dataset] cur_step=4251 phase=B_anchor_generation + +[Dataset] cur_step=4251 phase=B_anchor_generation + 47%|██████████████▏ | 4251/9000 [1:48:18<5:32:25, 4.20s/it][Dataset] cur_step=4251 phase=B_anchor_generation + {'loss': '2.804', 'grad_norm': '1.771', 'learning_rate': '2.933e-05', 'epoch': '0.1529'} + 47%|██████████████▏ | 4251/9000 [1:48:18<5:32:25, 4.20s/it] {'lm_loss': '0.0002301', 'visual_loss': '2.992', 'seg_loss': '0.8088', 'dino_loss': '0.9053', 'depth_loss': '0.3651', 'vggt_mse_loss': '0.362', 'vggt_cos_loss': '0.03124', 'pidinet_loss': '0.2308', 'siglip_loss': '0.6816', 'epoch': '0.1529'} + 47%|██████████████▏ | 4251/9000 [1:48:21<5:32:25, 4.20s/it][Dataset] cur_step=4252 phase=B_anchor_generation +[Dataset] cur_step=4252 phase=B_anchor_generation +[Dataset] cur_step=4252 phase=B_anchor_generation +[Dataset] cur_step=4252 phase=B_anchor_generation +[Dataset] cur_step=4252 phase=B_anchor_generation +[Dataset] cur_step=4252 phase=B_anchor_generation + 47%|██████████████▏ | 4252/9000 [1:48:22<5:31:19, 4.19s/it][Dataset] cur_step=4252 phase=B_anchor_generation +[Dataset] cur_step=4252 phase=B_anchor_generation + {'loss': '2.778', 'grad_norm': '1.455', 'learning_rate': '2.932e-05', 'epoch': '0.153'} + 47%|██████████████▏ | 4252/9000 [1:48:22<5:31:19, 4.19s/it] {'lm_loss': '0.0002418', 'visual_loss': '2.902', 'seg_loss': '0.8282', 'dino_loss': '0.9383', 'depth_loss': '0.2666', 'vggt_mse_loss': '0.2646', 'vggt_cos_loss': '0.02035', 'pidinet_loss': '0.2352', 'siglip_loss': '0.6332', 'epoch': '0.153'} + 47%|██████████████▏ | 4252/9000 [1:48:24<5:31:19, 4.19s/it][Dataset] cur_step=4253 phase=B_anchor_generation +[Dataset] cur_step=4253 phase=B_anchor_generation +[Dataset] cur_step=4253 phase=B_anchor_generation[Dataset] cur_step=4253 phase=B_anchor_generation + +[Dataset] cur_step=4253 phase=B_anchor_generation +[Dataset] cur_step=4253 phase=B_anchor_generation[Dataset] cur_step=4253 phase=B_anchor_generation + + 47%|██████████████▏ | 4253/9000 [1:48:25<5:19:24, 4.04s/it][Dataset] cur_step=4253 phase=B_anchor_generation + {'loss': '2.829', 'grad_norm': '1.726', 'learning_rate': '2.931e-05', 'epoch': '0.153'} + 47%|██████████████▏ | 4253/9000 [1:48:25<5:19:24, 4.04s/it] {'lm_loss': '0.0003482', 'visual_loss': '2.78', 'seg_loss': '0.8014', 'dino_loss': '0.9023', 'depth_loss': '0.2239', 'vggt_mse_loss': '0.2224', 'vggt_cos_loss': '0.01485', 'pidinet_loss': '0.2803', 'siglip_loss': '0.5725', 'epoch': '0.153'} + 47%|██████████████▏ | 4253/9000 [1:48:28<5:19:24, 4.04s/it][Dataset] cur_step=4254 phase=B_anchor_generation +[Dataset] cur_step=4254 phase=B_anchor_generation +[Dataset] cur_step=4254 phase=B_anchor_generation +[Dataset] cur_step=4254 phase=B_anchor_generation +[Dataset] cur_step=4254 phase=B_anchor_generation + 47%|██████████████▏ | 4254/9000 [1:48:29<5:19:02, 4.03s/it][Dataset] cur_step=4254 phase=B_anchor_generation +[Dataset] cur_step=4254 phase=B_anchor_generation +[Dataset] cur_step=4254 phase=B_anchor_generation + {'loss': '2.81', 'grad_norm': '1.612', 'learning_rate': '2.931e-05', 'epoch': '0.153'} + 47%|██████████████▏ | 4254/9000 [1:48:29<5:19:02, 4.03s/it] {'lm_loss': '0.0001175', 'visual_loss': '2.784', 'seg_loss': '0.6755', 'dino_loss': '0.8967', 'depth_loss': '0.2792', 'vggt_mse_loss': '0.2774', 'vggt_cos_loss': '0.01778', 'pidinet_loss': '0.2476', 'siglip_loss': '0.6853', 'epoch': '0.153'} + 47%|██████████████▏ | 4254/9000 [1:48:33<5:19:02, 4.03s/it][Dataset] cur_step=4255 phase=B_anchor_generation +[Dataset] cur_step=4255 phase=B_anchor_generation +[Dataset] cur_step=4255 phase=B_anchor_generation +[Dataset] cur_step=4255 phase=B_anchor_generation + 47%|██████████████▏ | 4255/9000 [1:48:33<5:17:37, 4.02s/it][Dataset] cur_step=4255 phase=B_anchor_generation +[Dataset] cur_step=4255 phase=B_anchor_generation +[Dataset] cur_step=4255 phase=B_anchor_generation +[Dataset] cur_step=4255 phase=B_anchor_generation + {'loss': '2.879', 'grad_norm': '5.63', 'learning_rate': '2.93e-05', 'epoch': '0.1531'} + 47%|██████████████▏ | 4255/9000 [1:48:33<5:17:37, 4.02s/it] {'lm_loss': '0.0001502', 'visual_loss': '2.762', 'seg_loss': '0.6526', 'dino_loss': '0.8978', 'depth_loss': '0.2893', 'vggt_mse_loss': '0.2876', 'vggt_cos_loss': '0.01649', 'pidinet_loss': '0.2071', 'siglip_loss': '0.7152', 'epoch': '0.1531'} + 47%|██████████████▏ | 4255/9000 [1:48:37<5:17:37, 4.02s/it][Dataset] cur_step=4256 phase=B_anchor_generation +[Dataset] cur_step=4256 phase=B_anchor_generation +[Dataset] cur_step=4256 phase=B_anchor_generation[Dataset] cur_step=4256 phase=B_anchor_generation + +[Dataset] cur_step=4256 phase=B_anchor_generation 47%|██████████████▏ | 4256/9000 [1:48:38<5:20:47, 4.06s/it] +[Dataset] cur_step=4256 phase=B_anchor_generation +[Dataset] cur_step=4256 phase=B_anchor_generation +[Dataset] cur_step=4256 phase=B_anchor_generation + {'loss': '2.683', 'grad_norm': '2.292', 'learning_rate': '2.929e-05', 'epoch': '0.1531'} + 47%|██████████████▏ | 4256/9000 [1:48:38<5:20:47, 4.06s/it] {'lm_loss': '0.0001591', 'visual_loss': '2.799', 'seg_loss': '0.735', 'dino_loss': '0.9144', 'depth_loss': '0.2348', 'vggt_mse_loss': '0.2333', 'vggt_cos_loss': '0.01519', 'pidinet_loss': '0.2481', 'siglip_loss': '0.667', 'epoch': '0.1531'} + 47%|██████████████▏ | 4256/9000 [1:48:41<5:20:47, 4.06s/it][Dataset] cur_step=4257 phase=B_anchor_generation[Dataset] cur_step=4257 phase=B_anchor_generation + +[Dataset] cur_step=4257 phase=B_anchor_generation +[Dataset] cur_step=4257 phase=B_anchor_generation +[Dataset] cur_step=4257 phase=B_anchor_generation +[Dataset] cur_step=4257 phase=B_anchor_generation + 47%|██████████████▏ | 4257/9000 [1:48:41<5:17:53, 4.02s/it][Dataset] cur_step=4257 phase=B_anchor_generation +[Dataset] cur_step=4257 phase=B_anchor_generation + {'loss': '2.749', 'grad_norm': '1.496', 'learning_rate': '2.928e-05', 'epoch': '0.1531'} + 47%|██████████████▏ | 4257/9000 [1:48:41<5:17:53, 4.02s/it] {'lm_loss': '0.0001416', 'visual_loss': '2.318', 'seg_loss': '0.6159', 'dino_loss': '0.8823', 'depth_loss': '0.3127', 'vggt_mse_loss': '0.3114', 'vggt_cos_loss': '0.01354', 'pidinet_loss': '0.1733', 'siglip_loss': '0.334', 'epoch': '0.1531'} + 47%|██████████████▏ | 4257/9000 [1:48:45<5:17:53, 4.02s/it][Dataset] cur_step=4258 phase=B_anchor_generation +[Dataset] cur_step=4258 phase=B_anchor_generation[Dataset] cur_step=4258 phase=B_anchor_generation + +[Dataset] cur_step=4258 phase=B_anchor_generation + 47%|██████████████▏ | 4258/9000 [1:48:46<5:19:06, 4.04s/it][Dataset] cur_step=4258 phase=B_anchor_generation +[Dataset] cur_step=4258 phase=B_anchor_generation +[Dataset] cur_step=4258 phase=B_anchor_generation +[Dataset] cur_step=4258 phase=B_anchor_generation + {'loss': '2.671', 'grad_norm': '1.395', 'learning_rate': '2.927e-05', 'epoch': '0.1532'} + 47%|██████████████▏ | 4258/9000 [1:48:46<5:19:06, 4.04s/it] {'lm_loss': '0.0001278', 'visual_loss': '2.683', 'seg_loss': '0.7888', 'dino_loss': '0.9251', 'depth_loss': '0.2665', 'vggt_mse_loss': '0.2644', 'vggt_cos_loss': '0.02096', 'pidinet_loss': '0.2249', 'siglip_loss': '0.4781', 'epoch': '0.1532'} + 47%|██████████████▏ | 4258/9000 [1:48:48<5:19:06, 4.04s/it][Dataset] cur_step=4259 phase=B_anchor_generation +[Dataset] cur_step=4259 phase=B_anchor_generation[Dataset] cur_step=4259 phase=B_anchor_generation + +[Dataset] cur_step=4259 phase=B_anchor_generation +[Dataset] cur_step=4259 phase=B_anchor_generation +[Dataset] cur_step=4259 phase=B_anchor_generation +[Dataset] cur_step=4259 phase=B_anchor_generation + 47%|██████████████▏ | 4259/9000 [1:48:50<5:24:49, 4.11s/it][Dataset] cur_step=4259 phase=B_anchor_generation + {'loss': '2.758', 'grad_norm': '1.485', 'learning_rate': '2.926e-05', 'epoch': '0.1532'} + 47%|██████████████▏ | 4259/9000 [1:48:50<5:24:49, 4.11s/it] {'lm_loss': '0.0001895', 'visual_loss': '2.872', 'seg_loss': '0.6824', 'dino_loss': '0.8997', 'depth_loss': '0.2316', 'vggt_mse_loss': '0.2296', 'vggt_cos_loss': '0.01947', 'pidinet_loss': '0.3008', 'siglip_loss': '0.7575', 'epoch': '0.1532'} + 47%|██████████████▏ | 4259/9000 [1:48:53<5:24:49, 4.11s/it][Dataset] cur_step=4260 phase=B_anchor_generation +[Dataset] cur_step=4260 phase=B_anchor_generation +[Dataset] cur_step=4260 phase=B_anchor_generation +[Dataset] cur_step=4260 phase=B_anchor_generation +[Dataset] cur_step=4260 phase=B_anchor_generation[Dataset] cur_step=4260 phase=B_anchor_generation +[Dataset] cur_step=4260 phase=B_anchor_generation + + 47%|██████████████▏ | 4260/9000 [1:48:54<5:16:36, 4.01s/it][Dataset] cur_step=4260 phase=B_anchor_generation + {'loss': '2.858', 'grad_norm': '3.054', 'learning_rate': '2.925e-05', 'epoch': '0.1533'} + 47%|██████████████▏ | 4260/9000 [1:48:54<5:16:36, 4.01s/it] {'lm_loss': '0.0001744', 'visual_loss': '2.723', 'seg_loss': '0.6235', 'dino_loss': '0.9111', 'depth_loss': '0.2943', 'vggt_mse_loss': '0.2925', 'vggt_cos_loss': '0.01868', 'pidinet_loss': '0.1878', 'siglip_loss': '0.7062', 'epoch': '0.1533'} + 47%|██████████████▏ | 4260/9000 [1:48:57<5:16:36, 4.01s/it][Dataset] cur_step=4261 phase=B_anchor_generation +[Dataset] cur_step=4261 phase=B_anchor_generation +[Dataset] cur_step=4261 phase=B_anchor_generation +[Dataset] cur_step=4261 phase=B_anchor_generation[Dataset] cur_step=4261 phase=B_anchor_generation + + 47%|██████████████▏ | 4261/9000 [1:48:58<5:18:50, 4.04s/it][Dataset] cur_step=4261 phase=B_anchor_generation +[Dataset] cur_step=4261 phase=B_anchor_generation +[Dataset] cur_step=4261 phase=B_anchor_generation + {'loss': '2.845', 'grad_norm': '1.865', 'learning_rate': '2.924e-05', 'epoch': '0.1533'} + 47%|██████████████▏ | 4261/9000 [1:48:58<5:18:50, 4.04s/it] {'lm_loss': '0.0002177', 'visual_loss': '2.776', 'seg_loss': '0.8325', 'dino_loss': '0.9131', 'depth_loss': '0.2546', 'vggt_mse_loss': '0.2525', 'vggt_cos_loss': '0.02116', 'pidinet_loss': '0.2738', 'siglip_loss': '0.5019', 'epoch': '0.1533'} + 47%|██████████████▏ | 4261/9000 [1:49:01<5:18:50, 4.04s/it][Dataset] cur_step=4262 phase=B_anchor_generation +[Dataset] cur_step=4262 phase=B_anchor_generation[Dataset] cur_step=4262 phase=B_anchor_generation + +[Dataset] cur_step=4262 phase=B_anchor_generation[Dataset] cur_step=4262 phase=B_anchor_generation + + 47%|██████████████▏ | 4262/9000 [1:49:02<5:33:09, 4.22s/it][Dataset] cur_step=4262 phase=B_anchor_generation +[Dataset] cur_step=4262 phase=B_anchor_generation +[Dataset] cur_step=4262 phase=B_anchor_generation + {'loss': '2.688', 'grad_norm': '1.452', 'learning_rate': '2.923e-05', 'epoch': '0.1533'} + 47%|██████████████▏ | 4262/9000 [1:49:02<5:33:09, 4.22s/it] {'lm_loss': '0.0002012', 'visual_loss': '2.813', 'seg_loss': '0.7776', 'dino_loss': '0.9172', 'depth_loss': '0.3588', 'vggt_mse_loss': '0.3569', 'vggt_cos_loss': '0.01909', 'pidinet_loss': '0.2275', 'siglip_loss': '0.5316', 'epoch': '0.1533'} + 47%|██████████████▏ | 4262/9000 [1:49:06<5:33:09, 4.22s/it][Dataset] cur_step=4263 phase=B_anchor_generation[Dataset] cur_step=4263 phase=B_anchor_generation + +[Dataset] cur_step=4263 phase=B_anchor_generation +[Dataset] cur_step=4263 phase=B_anchor_generation[Dataset] cur_step=4263 phase=B_anchor_generation + + 47%|██████████████▏ | 4263/9000 [1:49:07<5:39:30, 4.30s/it][Dataset] cur_step=4263 phase=B_anchor_generation[Dataset] cur_step=4263 phase=B_anchor_generation + +[Dataset] cur_step=4263 phase=B_anchor_generation + {'loss': '2.824', 'grad_norm': '1.571', 'learning_rate': '2.922e-05', 'epoch': '0.1534'} + 47%|██████████████▏ | 4263/9000 [1:49:07<5:39:30, 4.30s/it] {'lm_loss': '0.0002543', 'visual_loss': '2.534', 'seg_loss': '0.6825', 'dino_loss': '0.8944', 'depth_loss': '0.2833', 'vggt_mse_loss': '0.2818', 'vggt_cos_loss': '0.01513', 'pidinet_loss': '0.2129', 'siglip_loss': '0.4613', 'epoch': '0.1534'} + 47%|██████████████▏ | 4263/9000 [1:49:11<5:39:30, 4.30s/it][Dataset] cur_step=4264 phase=B_anchor_generation +[Dataset] cur_step=4264 phase=B_anchor_generation + 47%|██████████████▏ | 4264/9000 [1:49:11<5:38:24, 4.29s/it][Dataset] cur_step=4264 phase=B_anchor_generation +[Dataset] cur_step=4264 phase=B_anchor_generation[Dataset] cur_step=4264 phase=B_anchor_generation + +[Dataset] cur_step=4264 phase=B_anchor_generation[Dataset] cur_step=4264 phase=B_anchor_generation + +[Dataset] cur_step=4264 phase=B_anchor_generation + {'loss': '2.788', 'grad_norm': '1.858', 'learning_rate': '2.921e-05', 'epoch': '0.1534'} + 47%|██████████████▏ | 4264/9000 [1:49:11<5:38:24, 4.29s/it] {'lm_loss': '0.0003831', 'visual_loss': '2.848', 'seg_loss': '0.7791', 'dino_loss': '0.9403', 'depth_loss': '0.2493', 'vggt_mse_loss': '0.2477', 'vggt_cos_loss': '0.01604', 'pidinet_loss': '0.2669', 'siglip_loss': '0.6121', 'epoch': '0.1534'} + 47%|██████████████▏ | 4264/9000 [1:49:14<5:38:24, 4.29s/it][Dataset] cur_step=4265 phase=B_anchor_generation +[Dataset] cur_step=4265 phase=B_anchor_generation +[Dataset] cur_step=4265 phase=B_anchor_generation +[Dataset] cur_step=4265 phase=B_anchor_generation +[Dataset] cur_step=4265 phase=B_anchor_generation +[Dataset] cur_step=4265 phase=B_anchor_generation[Dataset] cur_step=4265 phase=B_anchor_generation + +[Dataset] cur_step=4265 phase=B_anchor_generation + 47%|██████████████▏ | 4265/9000 [1:49:15<5:29:11, 4.17s/it] {'loss': '2.76', 'grad_norm': '1.589', 'learning_rate': '2.921e-05', 'epoch': '0.1534'} + 47%|██████████████▏ | 4265/9000 [1:49:15<5:29:11, 4.17s/it] {'lm_loss': '0.000241', 'visual_loss': '2.863', 'seg_loss': '0.7044', 'dino_loss': '0.9329', 'depth_loss': '0.2213', 'vggt_mse_loss': '0.2195', 'vggt_cos_loss': '0.01845', 'pidinet_loss': '0.2776', 'siglip_loss': '0.7274', 'epoch': '0.1534'} + 47%|██████████████▏ | 4265/9000 [1:49:18<5:29:11, 4.17s/it][Dataset] cur_step=4266 phase=B_anchor_generation +[Dataset] cur_step=4266 phase=B_anchor_generation +[Dataset] cur_step=4266 phase=B_anchor_generation +[Dataset] cur_step=4266 phase=B_anchor_generation + 47%|██████████████▏ | 4266/9000 [1:49:19<5:27:11, 4.15s/it][Dataset] cur_step=4266 phase=B_anchor_generation +[Dataset] cur_step=4266 phase=B_anchor_generation +[Dataset] cur_step=4266 phase=B_anchor_generation +[Dataset] cur_step=4266 phase=B_anchor_generation + {'loss': '2.769', 'grad_norm': '1.567', 'learning_rate': '2.92e-05', 'epoch': '0.1535'} + 47%|██████████████▏ | 4266/9000 [1:49:19<5:27:11, 4.15s/it] {'lm_loss': '0.0002525', 'visual_loss': '2.868', 'seg_loss': '0.8719', 'dino_loss': '0.903', 'depth_loss': '0.31', 'vggt_mse_loss': '0.3081', 'vggt_cos_loss': '0.01937', 'pidinet_loss': '0.2428', 'siglip_loss': '0.5404', 'epoch': '0.1535'} + 47%|██████████████▏ | 4266/9000 [1:49:22<5:27:11, 4.15s/it][Dataset] cur_step=4267 phase=B_anchor_generation +[Dataset] cur_step=4267 phase=B_anchor_generation +[Dataset] cur_step=4267 phase=B_anchor_generation +[Dataset] cur_step=4267 phase=B_anchor_generation +[Dataset] cur_step=4267 phase=B_anchor_generation +[Dataset] cur_step=4267 phase=B_anchor_generation[Dataset] cur_step=4267 phase=B_anchor_generation + +[Dataset] cur_step=4267 phase=B_anchor_generation + 47%|██████████████▏ | 4267/9000 [1:49:23<5:20:37, 4.06s/it] {'loss': '2.816', 'grad_norm': '1.878', 'learning_rate': '2.919e-05', 'epoch': '0.1535'} + 47%|██████████████▏ | 4267/9000 [1:49:23<5:20:37, 4.06s/it] {'lm_loss': '0.0001396', 'visual_loss': '3.005', 'seg_loss': '0.6856', 'dino_loss': '0.919', 'depth_loss': '0.4927', 'vggt_mse_loss': '0.4891', 'vggt_cos_loss': '0.03566', 'pidinet_loss': '0.2315', 'siglip_loss': '0.6763', 'epoch': '0.1535'} + 47%|██████████████▏ | 4267/9000 [1:49:27<5:20:37, 4.06s/it][Dataset] cur_step=4268 phase=B_anchor_generation[Dataset] cur_step=4268 phase=B_anchor_generation + + 47%|██████████████▏ | 4268/9000 [1:49:27<5:23:49, 4.11s/it][Dataset] cur_step=4268 phase=B_anchor_generation +[Dataset] cur_step=4268 phase=B_anchor_generation +[Dataset] cur_step=4268 phase=B_anchor_generation +[Dataset] cur_step=4268 phase=B_anchor_generation +[Dataset] cur_step=4268 phase=B_anchor_generation +[Dataset] cur_step=4268 phase=B_anchor_generation + {'loss': '2.75', 'grad_norm': '3.857', 'learning_rate': '2.918e-05', 'epoch': '0.1535'} + 47%|██████████████▏ | 4268/9000 [1:49:27<5:23:49, 4.11s/it] {'lm_loss': '0.0001704', 'visual_loss': '3.126', 'seg_loss': '0.8285', 'dino_loss': '0.915', 'depth_loss': '0.465', 'vggt_mse_loss': '0.4617', 'vggt_cos_loss': '0.03207', 'pidinet_loss': '0.1735', 'siglip_loss': '0.7444', 'epoch': '0.1535'} + 47%|██████████████▏ | 4268/9000 [1:49:30<5:23:49, 4.11s/it][Dataset] cur_step=4269 phase=B_anchor_generation +[Dataset] cur_step=4269 phase=B_anchor_generation +[Dataset] cur_step=4269 phase=B_anchor_generation +[Dataset] cur_step=4269 phase=B_anchor_generation +[Dataset] cur_step=4269 phase=B_anchor_generation[Dataset] cur_step=4269 phase=B_anchor_generation +[Dataset] cur_step=4269 phase=B_anchor_generation + + 47%|██████████████▏ | 4269/9000 [1:49:31<5:21:20, 4.08s/it][Dataset] cur_step=4269 phase=B_anchor_generation + {'loss': '2.814', 'grad_norm': '2.82', 'learning_rate': '2.917e-05', 'epoch': '0.1536'} + 47%|██████████████▏ | 4269/9000 [1:49:31<5:21:20, 4.08s/it] {'lm_loss': '0.0003047', 'visual_loss': '2.609', 'seg_loss': '0.6858', 'dino_loss': '0.9033', 'depth_loss': '0.322', 'vggt_mse_loss': '0.3201', 'vggt_cos_loss': '0.01983', 'pidinet_loss': '0.2039', 'siglip_loss': '0.4942', 'epoch': '0.1536'} + 47%|██████████████▏ | 4269/9000 [1:49:34<5:21:20, 4.08s/it][Dataset] cur_step=4270 phase=B_anchor_generation +[Dataset] cur_step=4270 phase=B_anchor_generation[Dataset] cur_step=4270 phase=B_anchor_generation + +[Dataset] cur_step=4270 phase=B_anchor_generation[Dataset] cur_step=4270 phase=B_anchor_generation + +[Dataset] cur_step=4270 phase=B_anchor_generation +[Dataset] cur_step=4270 phase=B_anchor_generation[Dataset] cur_step=4270 phase=B_anchor_generation + + 47%|██████████████▏ | 4270/9000 [1:49:35<5:18:34, 4.04s/it] {'loss': '2.731', 'grad_norm': '1.33', 'learning_rate': '2.916e-05', 'epoch': '0.1536'} + 47%|██████████████▏ | 4270/9000 [1:49:35<5:18:34, 4.04s/it] {'lm_loss': '0.0001828', 'visual_loss': '2.493', 'seg_loss': '0.6117', 'dino_loss': '0.8986', 'depth_loss': '0.2713', 'vggt_mse_loss': '0.2697', 'vggt_cos_loss': '0.01602', 'pidinet_loss': '0.1831', 'siglip_loss': '0.5285', 'epoch': '0.1536'} + 47%|██████████████▏ | 4270/9000 [1:49:38<5:18:34, 4.04s/it][Dataset] cur_step=4271 phase=B_anchor_generation +[Dataset] cur_step=4271 phase=B_anchor_generation[Dataset] cur_step=4271 phase=B_anchor_generation + +[Dataset] cur_step=4271 phase=B_anchor_generation +[Dataset] cur_step=4271 phase=B_anchor_generation +[Dataset] cur_step=4271 phase=B_anchor_generation + 47%|██████████████▏ | 4271/9000 [1:49:39<5:10:56, 3.95s/it][Dataset] cur_step=4271 phase=B_anchor_generation +[Dataset] cur_step=4271 phase=B_anchor_generation + {'loss': '2.831', 'grad_norm': '1.663', 'learning_rate': '2.915e-05', 'epoch': '0.1536'} + 47%|██████████████▏ | 4271/9000 [1:49:39<5:10:56, 3.95s/it] {'lm_loss': '0.0001153', 'visual_loss': '2.736', 'seg_loss': '0.7962', 'dino_loss': '0.9436', 'depth_loss': '0.2054', 'vggt_mse_loss': '0.2042', 'vggt_cos_loss': '0.01288', 'pidinet_loss': '0.2676', 'siglip_loss': '0.5229', 'epoch': '0.1536'} + 47%|██████████████▏ | 4271/9000 [1:49:42<5:10:56, 3.95s/it][Dataset] cur_step=4272 phase=B_anchor_generation +[Dataset] cur_step=4272 phase=B_anchor_generation +[Dataset] cur_step=4272 phase=B_anchor_generation +[Dataset] cur_step=4272 phase=B_anchor_generation + 47%|██████████████▏ | 4272/9000 [1:49:43<5:08:27, 3.91s/it][Dataset] cur_step=4272 phase=B_anchor_generation +[Dataset] cur_step=4272 phase=B_anchor_generation +[Dataset] cur_step=4272 phase=B_anchor_generation +[Dataset] cur_step=4272 phase=B_anchor_generation + {'loss': '2.693', 'grad_norm': '1.367', 'learning_rate': '2.914e-05', 'epoch': '0.1537'} + 47%|██████████████▏ | 4272/9000 [1:49:43<5:08:27, 3.91s/it] {'lm_loss': '0.0002249', 'visual_loss': '2.91', 'seg_loss': '0.776', 'dino_loss': '0.9284', 'depth_loss': '0.2378', 'vggt_mse_loss': '0.2361', 'vggt_cos_loss': '0.01655', 'pidinet_loss': '0.2371', 'siglip_loss': '0.7312', 'epoch': '0.1537'} + 47%|██████████████▏ | 4272/9000 [1:49:46<5:08:27, 3.91s/it][Dataset] cur_step=4273 phase=B_anchor_generation +[Dataset] cur_step=4273 phase=B_anchor_generation +[Dataset] cur_step=4273 phase=B_anchor_generation +[Dataset] cur_step=4273 phase=B_anchor_generation +[Dataset] cur_step=4273 phase=B_anchor_generation +[Dataset] cur_step=4273 phase=B_anchor_generation +[Dataset] cur_step=4273 phase=B_anchor_generation[Dataset] cur_step=4273 phase=B_anchor_generation + + 47%|██████████████▏ | 4273/9000 [1:49:47<5:12:34, 3.97s/it] {'loss': '2.933', 'grad_norm': '1.43', 'learning_rate': '2.913e-05', 'epoch': '0.1537'} + 47%|██████████████▏ | 4273/9000 [1:49:47<5:12:34, 3.97s/it] {'lm_loss': '0.0003405', 'visual_loss': '2.585', 'seg_loss': '0.6617', 'dino_loss': '0.9313', 'depth_loss': '0.3058', 'vggt_mse_loss': '0.3037', 'vggt_cos_loss': '0.02137', 'pidinet_loss': '0.1842', 'siglip_loss': '0.5022', 'epoch': '0.1537'} + 47%|██████████████▏ | 4273/9000 [1:49:50<5:12:34, 3.97s/it][Dataset] cur_step=4274 phase=B_anchor_generation +[Dataset] cur_step=4274 phase=B_anchor_generation +[Dataset] cur_step=4274 phase=B_anchor_generation +[Dataset] cur_step=4274 phase=B_anchor_generation +[Dataset] cur_step=4274 phase=B_anchor_generation +[Dataset] cur_step=4274 phase=B_anchor_generation[Dataset] cur_step=4274 phase=B_anchor_generation[Dataset] cur_step=4274 phase=B_anchor_generation + + + 47%|██████████████▏ | 4274/9000 [1:49:51<5:11:37, 3.96s/it] {'loss': '2.777', 'grad_norm': '2.45', 'learning_rate': '2.912e-05', 'epoch': '0.1538'} + 47%|██████████████▏ | 4274/9000 [1:49:51<5:11:37, 3.96s/it] {'lm_loss': '0.0002461', 'visual_loss': '2.277', 'seg_loss': '0.6021', 'dino_loss': '0.8798', 'depth_loss': '0.2741', 'vggt_mse_loss': '0.2729', 'vggt_cos_loss': '0.01195', 'pidinet_loss': '0.1292', 'siglip_loss': '0.3913', 'epoch': '0.1538'} + 47%|██████████████▏ | 4274/9000 [1:49:54<5:11:37, 3.96s/it][Dataset] cur_step=4275 phase=B_anchor_generation +[Dataset] cur_step=4275 phase=B_anchor_generation +[Dataset] cur_step=4275 phase=B_anchor_generation[Dataset] cur_step=4275 phase=B_anchor_generation + +[Dataset] cur_step=4275 phase=B_anchor_generation[Dataset] cur_step=4275 phase=B_anchor_generation + + 48%|██████████████▎ | 4275/9000 [1:49:58<6:40:39, 5.09s/it][Dataset] cur_step=4275 phase=B_anchor_generation +[Dataset] cur_step=4275 phase=B_anchor_generation + {'loss': '2.858', 'grad_norm': '2.089', 'learning_rate': '2.911e-05', 'epoch': '0.1538'} + 48%|██████████████▎ | 4275/9000 [1:49:58<6:40:39, 5.09s/it] {'lm_loss': '0.0002668', 'visual_loss': '2.818', 'seg_loss': '0.6201', 'dino_loss': '0.9197', 'depth_loss': '0.2253', 'vggt_mse_loss': '0.2239', 'vggt_cos_loss': '0.0144', 'pidinet_loss': '0.2829', 'siglip_loss': '0.7697', 'epoch': '0.1538'} + 48%|██████████████▎ | 4275/9000 [1:50:02<6:40:39, 5.09s/it][Dataset] cur_step=4276 phase=B_anchor_generation +[Dataset] cur_step=4276 phase=B_anchor_generation +[Dataset] cur_step=4276 phase=B_anchor_generation[Dataset] cur_step=4276 phase=B_anchor_generation + +[Dataset] cur_step=4276 phase=B_anchor_generation 48%|██████████████▎ | 4276/9000 [1:50:03<6:16:01, 4.78s/it] +[Dataset] cur_step=4276 phase=B_anchor_generation[Dataset] cur_step=4276 phase=B_anchor_generation + +[Dataset] cur_step=4276 phase=B_anchor_generation + {'loss': '2.884', 'grad_norm': '7.923', 'learning_rate': '2.911e-05', 'epoch': '0.1538'} + 48%|██████████████▎ | 4276/9000 [1:50:03<6:16:01, 4.78s/it] {'lm_loss': '0.0002161', 'visual_loss': '2.466', 'seg_loss': '0.6966', 'dino_loss': '0.9026', 'depth_loss': '0.2624', 'vggt_mse_loss': '0.261', 'vggt_cos_loss': '0.01349', 'pidinet_loss': '0.2251', 'siglip_loss': '0.3796', 'epoch': '0.1538'} + 48%|██████████████▎ | 4276/9000 [1:50:06<6:16:01, 4.78s/it][Dataset] cur_step=4277 phase=B_anchor_generation +[Dataset] cur_step=4277 phase=B_anchor_generation +[Dataset] cur_step=4277 phase=B_anchor_generation + 48%|██████████████▎ | 4277/9000 [1:50:06<5:55:01, 4.51s/it][Dataset] cur_step=4277 phase=B_anchor_generation[Dataset] cur_step=4277 phase=B_anchor_generation + +[Dataset] cur_step=4277 phase=B_anchor_generation[Dataset] cur_step=4277 phase=B_anchor_generation + +[Dataset] cur_step=4277 phase=B_anchor_generation + {'loss': '2.694', 'grad_norm': '1.338', 'learning_rate': '2.91e-05', 'epoch': '0.1539'} + 48%|██████████████▎ | 4277/9000 [1:50:06<5:55:01, 4.51s/it] {'lm_loss': '0.0002089', 'visual_loss': '2.834', 'seg_loss': '0.8258', 'dino_loss': '0.8889', 'depth_loss': '0.2845', 'vggt_mse_loss': '0.2828', 'vggt_cos_loss': '0.01744', 'pidinet_loss': '0.2571', 'siglip_loss': '0.5775', 'epoch': '0.1539'} + 48%|██████████████▎ | 4277/9000 [1:50:09<5:55:01, 4.51s/it][Dataset] cur_step=4278 phase=B_anchor_generation +[Dataset] cur_step=4278 phase=B_anchor_generation +[Dataset] cur_step=4278 phase=B_anchor_generation +[Dataset] cur_step=4278 phase=B_anchor_generation[Dataset] cur_step=4278 phase=B_anchor_generation + 48%|██████████████▎ | 4278/9000 [1:50:10<5:39:55, 4.32s/it] +[Dataset] cur_step=4278 phase=B_anchor_generation +[Dataset] cur_step=4278 phase=B_anchor_generation +[Dataset] cur_step=4278 phase=B_anchor_generation + {'loss': '2.828', 'grad_norm': '4.5', 'learning_rate': '2.909e-05', 'epoch': '0.1539'} + 48%|██████████████▎ | 4278/9000 [1:50:10<5:39:55, 4.32s/it] {'lm_loss': '0.0002336', 'visual_loss': '2.667', 'seg_loss': '0.6118', 'dino_loss': '0.8911', 'depth_loss': '0.248', 'vggt_mse_loss': '0.2464', 'vggt_cos_loss': '0.01664', 'pidinet_loss': '0.301', 'siglip_loss': '0.6147', 'epoch': '0.1539'} + 48%|██████████████▎ | 4278/9000 [1:50:13<5:39:55, 4.32s/it][Dataset] cur_step=4279 phase=B_anchor_generation[Dataset] cur_step=4279 phase=B_anchor_generation + +[Dataset] cur_step=4279 phase=B_anchor_generation[Dataset] cur_step=4279 phase=B_anchor_generation[Dataset] cur_step=4279 phase=B_anchor_generation + + +[Dataset] cur_step=4279 phase=B_anchor_generation[Dataset] cur_step=4279 phase=B_anchor_generation + + 48%|██████████████▎ | 4279/9000 [1:50:14<5:26:40, 4.15s/it][Dataset] cur_step=4279 phase=B_anchor_generation + {'loss': '2.798', 'grad_norm': '1.616', 'learning_rate': '2.908e-05', 'epoch': '0.1539'} + 48%|██████████████▎ | 4279/9000 [1:50:14<5:26:40, 4.15s/it] {'lm_loss': '0.0004247', 'visual_loss': '2.733', 'seg_loss': '0.7328', 'dino_loss': '0.8971', 'depth_loss': '0.2442', 'vggt_mse_loss': '0.2426', 'vggt_cos_loss': '0.01596', 'pidinet_loss': '0.2526', 'siglip_loss': '0.6066', 'epoch': '0.1539'} + 48%|██████████████▎ | 4279/9000 [1:50:19<5:26:40, 4.15s/it][Dataset] cur_step=4280 phase=B_anchor_generation + 48%|██████████████▎ | 4280/9000 [1:50:19<5:57:20, 4.54s/it][Dataset] cur_step=4280 phase=B_anchor_generation +[Dataset] cur_step=4280 phase=B_anchor_generation +[Dataset] cur_step=4280 phase=B_anchor_generation +[Dataset] cur_step=4280 phase=B_anchor_generation +[Dataset] cur_step=4280 phase=B_anchor_generation +[Dataset] cur_step=4280 phase=B_anchor_generation +[Dataset] cur_step=4280 phase=B_anchor_generation + {'loss': '2.756', 'grad_norm': '2.474', 'learning_rate': '2.907e-05', 'epoch': '0.154'} + 48%|██████████████▎ | 4280/9000 [1:50:19<5:57:20, 4.54s/it] {'lm_loss': '0.0005447', 'visual_loss': '2.655', 'seg_loss': '0.7176', 'dino_loss': '0.8936', 'depth_loss': '0.2912', 'vggt_mse_loss': '0.2897', 'vggt_cos_loss': '0.01523', 'pidinet_loss': '0.2285', 'siglip_loss': '0.5238', 'epoch': '0.154'} + 48%|██████████████▎ | 4280/9000 [1:50:23<5:57:20, 4.54s/it][Dataset] cur_step=4281 phase=B_anchor_generation +[Dataset] cur_step=4281 phase=B_anchor_generation + 48%|██████████████▎ | 4281/9000 [1:50:24<5:52:53, 4.49s/it][Dataset] cur_step=4281 phase=B_anchor_generation +[Dataset] cur_step=4281 phase=B_anchor_generation +[Dataset] cur_step=4281 phase=B_anchor_generation +[Dataset] cur_step=4281 phase=B_anchor_generation +[Dataset] cur_step=4281 phase=B_anchor_generation +[Dataset] cur_step=4281 phase=B_anchor_generation + {'loss': '2.711', 'grad_norm': '1.557', 'learning_rate': '2.906e-05', 'epoch': '0.154'} + 48%|██████████████▎ | 4281/9000 [1:50:24<5:52:53, 4.49s/it] {'lm_loss': '0.001056', 'visual_loss': '2.566', 'seg_loss': '0.7537', 'dino_loss': '0.9084', 'depth_loss': '0.2264', 'vggt_mse_loss': '0.2245', 'vggt_cos_loss': '0.01854', 'pidinet_loss': '0.1871', 'siglip_loss': '0.4907', 'epoch': '0.154'} + 48%|██████████████▎ | 4281/9000 [1:50:26<5:52:53, 4.49s/it][Dataset] cur_step=4282 phase=B_anchor_generation +[Dataset] cur_step=4282 phase=B_anchor_generation +[Dataset] cur_step=4282 phase=B_anchor_generation +[Dataset] cur_step=4282 phase=B_anchor_generation[Dataset] cur_step=4282 phase=B_anchor_generation + +[Dataset] cur_step=4282 phase=B_anchor_generation +[Dataset] cur_step=4282 phase=B_anchor_generation +[Dataset] cur_step=4282 phase=B_anchor_generation + 48%|██████████████▎ | 4282/9000 [1:50:28<5:37:18, 4.29s/it] {'loss': '2.768', 'grad_norm': '1.435', 'learning_rate': '2.905e-05', 'epoch': '0.154'} + 48%|██████████████▎ | 4282/9000 [1:50:28<5:37:18, 4.29s/it] {'lm_loss': '0.0002007', 'visual_loss': '2.925', 'seg_loss': '0.8328', 'dino_loss': '0.93', 'depth_loss': '0.3381', 'vggt_mse_loss': '0.3357', 'vggt_cos_loss': '0.02423', 'pidinet_loss': '0.2446', 'siglip_loss': '0.579', 'epoch': '0.154'} + 48%|██████████████▎ | 4282/9000 [1:50:30<5:37:18, 4.29s/it][Dataset] cur_step=4283 phase=B_anchor_generation +[Dataset] cur_step=4283 phase=B_anchor_generation +[Dataset] cur_step=4283 phase=B_anchor_generation +[Dataset] cur_step=4283 phase=B_anchor_generation[Dataset] cur_step=4283 phase=B_anchor_generation + +[Dataset] cur_step=4283 phase=B_anchor_generation +[Dataset] cur_step=4283 phase=B_anchor_generation + 48%|██████████████▎ | 4283/9000 [1:50:32<5:30:44, 4.21s/it][Dataset] cur_step=4283 phase=B_anchor_generation + {'loss': '2.828', 'grad_norm': '3.961', 'learning_rate': '2.904e-05', 'epoch': '0.1541'} + 48%|██████████████▎ | 4283/9000 [1:50:32<5:30:44, 4.21s/it] {'lm_loss': '0.0006782', 'visual_loss': '2.889', 'seg_loss': '0.4903', 'dino_loss': '0.8866', 'depth_loss': '0.2504', 'vggt_mse_loss': '0.2485', 'vggt_cos_loss': '0.01874', 'pidinet_loss': '0.3427', 'siglip_loss': '0.9185', 'epoch': '0.1541'} + 48%|██████████████▎ | 4283/9000 [1:50:35<5:30:44, 4.21s/it][Dataset] cur_step=4284 phase=B_anchor_generation +[Dataset] cur_step=4284 phase=B_anchor_generation +[Dataset] cur_step=4284 phase=B_anchor_generation +[Dataset] cur_step=4284 phase=B_anchor_generation[Dataset] cur_step=4284 phase=B_anchor_generation[Dataset] cur_step=4284 phase=B_anchor_generation + + 48%|██████████████▎ | 4284/9000 [1:50:36<5:34:57, 4.26s/it] +[Dataset] cur_step=4284 phase=B_anchor_generation +[Dataset] cur_step=4284 phase=B_anchor_generation + {'loss': '2.715', 'grad_norm': '1.833', 'learning_rate': '2.903e-05', 'epoch': '0.1541'} + 48%|██████████████▎ | 4284/9000 [1:50:36<5:34:57, 4.26s/it] {'lm_loss': '0.0003387', 'visual_loss': '2.8', 'seg_loss': '0.7216', 'dino_loss': '0.9246', 'depth_loss': '0.2532', 'vggt_mse_loss': '0.2519', 'vggt_cos_loss': '0.01365', 'pidinet_loss': '0.2636', 'siglip_loss': '0.6368', 'epoch': '0.1541'} + 48%|██████████████▎ | 4284/9000 [1:50:39<5:34:57, 4.26s/it][Dataset] cur_step=4285 phase=B_anchor_generation[Dataset] cur_step=4285 phase=B_anchor_generation[Dataset] cur_step=4285 phase=B_anchor_generation + + +[Dataset] cur_step=4285 phase=B_anchor_generation +[Dataset] cur_step=4285 phase=B_anchor_generation 48%|██████████████▎ | 4285/9000 [1:50:40<5:24:58, 4.14s/it] +[Dataset] cur_step=4285 phase=B_anchor_generation[Dataset] cur_step=4285 phase=B_anchor_generation + +[Dataset] cur_step=4285 phase=B_anchor_generation + {'loss': '2.856', 'grad_norm': '3.911', 'learning_rate': '2.902e-05', 'epoch': '0.1542'} + 48%|██████████████▎ | 4285/9000 [1:50:40<5:24:58, 4.14s/it] {'lm_loss': '0.001094', 'visual_loss': '2.633', 'seg_loss': '0.6402', 'dino_loss': '0.9009', 'depth_loss': '0.2319', 'vggt_mse_loss': '0.2303', 'vggt_cos_loss': '0.01533', 'pidinet_loss': '0.2026', 'siglip_loss': '0.6574', 'epoch': '0.1542'} + 48%|██████████████▎ | 4285/9000 [1:50:44<5:24:58, 4.14s/it][Dataset] cur_step=4286 phase=B_anchor_generation[Dataset] cur_step=4286 phase=B_anchor_generation +[Dataset] cur_step=4286 phase=B_anchor_generation + +[Dataset] cur_step=4286 phase=B_anchor_generation 48%|██████████████▎ | 4286/9000 [1:50:44<5:31:20, 4.22s/it] +[Dataset] cur_step=4286 phase=B_anchor_generation[Dataset] cur_step=4286 phase=B_anchor_generation + +[Dataset] cur_step=4286 phase=B_anchor_generation +[Dataset] cur_step=4286 phase=B_anchor_generation + {'loss': '2.739', 'grad_norm': '1.421', 'learning_rate': '2.902e-05', 'epoch': '0.1542'} + 48%|██████████████▎ | 4286/9000 [1:50:44<5:31:20, 4.22s/it] {'lm_loss': '0.0003443', 'visual_loss': '2.484', 'seg_loss': '0.6137', 'dino_loss': '0.8929', 'depth_loss': '0.3077', 'vggt_mse_loss': '0.306', 'vggt_cos_loss': '0.01722', 'pidinet_loss': '0.2285', 'siglip_loss': '0.4416', 'epoch': '0.1542'} + 48%|██████████████▎ | 4286/9000 [1:50:48<5:31:20, 4.22s/it][Dataset] cur_step=4287 phase=B_anchor_generation[Dataset] cur_step=4287 phase=B_anchor_generation + +[Dataset] cur_step=4287 phase=B_anchor_generation +[Dataset] cur_step=4287 phase=B_anchor_generation[Dataset] cur_step=4287 phase=B_anchor_generation + +[Dataset] cur_step=4287 phase=B_anchor_generation[Dataset] cur_step=4287 phase=B_anchor_generation + + 48%|██████████████▎ | 4287/9000 [1:50:48<5:28:59, 4.19s/it][Dataset] cur_step=4287 phase=B_anchor_generation + {'loss': '2.826', 'grad_norm': '1.773', 'learning_rate': '2.901e-05', 'epoch': '0.1542'} + 48%|██████████████▎ | 4287/9000 [1:50:48<5:28:59, 4.19s/it] {'lm_loss': '0.0006198', 'visual_loss': '2.787', 'seg_loss': '0.7297', 'dino_loss': '0.9374', 'depth_loss': '0.2923', 'vggt_mse_loss': '0.2901', 'vggt_cos_loss': '0.02164', 'pidinet_loss': '0.2275', 'siglip_loss': '0.6004', 'epoch': '0.1542'} + 48%|██████████████▎ | 4287/9000 [1:50:52<5:28:59, 4.19s/it][Dataset] cur_step=4288 phase=B_anchor_generation +[Dataset] cur_step=4288 phase=B_anchor_generation +[Dataset] cur_step=4288 phase=B_anchor_generation 48%|██████████████▎ | 4288/9000 [1:50:52<5:18:12, 4.05s/it] +[Dataset] cur_step=4288 phase=B_anchor_generation +[Dataset] cur_step=4288 phase=B_anchor_generation +[Dataset] cur_step=4288 phase=B_anchor_generation +[Dataset] cur_step=4288 phase=B_anchor_generation +[Dataset] cur_step=4288 phase=B_anchor_generation + {'loss': '2.788', 'grad_norm': '1.376', 'learning_rate': '2.9e-05', 'epoch': '0.1543'} + 48%|██████████████▎ | 4288/9000 [1:50:52<5:18:12, 4.05s/it] {'lm_loss': '0.0002149', 'visual_loss': '2.627', 'seg_loss': '0.8023', 'dino_loss': '0.9058', 'depth_loss': '0.2804', 'vggt_mse_loss': '0.2786', 'vggt_cos_loss': '0.01851', 'pidinet_loss': '0.1751', 'siglip_loss': '0.4636', 'epoch': '0.1543'} + 48%|██████████████▎ | 4288/9000 [1:50:55<5:18:12, 4.05s/it][Dataset] cur_step=4289 phase=B_anchor_generation +[Dataset] cur_step=4289 phase=B_anchor_generation +[Dataset] cur_step=4289 phase=B_anchor_generation +[Dataset] cur_step=4289 phase=B_anchor_generation +[Dataset] cur_step=4289 phase=B_anchor_generation[Dataset] cur_step=4289 phase=B_anchor_generation +[Dataset] cur_step=4289 phase=B_anchor_generation + +[Dataset] cur_step=4289 phase=B_anchor_generation + 48%|██████████████▎ | 4289/9000 [1:50:59<6:13:28, 4.76s/it] {'loss': '2.777', 'grad_norm': '9.149', 'learning_rate': '2.899e-05', 'epoch': '0.1543'} + 48%|██████████████▎ | 4289/9000 [1:50:59<6:13:28, 4.76s/it] {'lm_loss': '0.0001749', 'visual_loss': '2.665', 'seg_loss': '0.7206', 'dino_loss': '0.9276', 'depth_loss': '0.2368', 'vggt_mse_loss': '0.2352', 'vggt_cos_loss': '0.01599', 'pidinet_loss': '0.2278', 'siglip_loss': '0.5518', 'epoch': '0.1543'} + 48%|██████████████▎ | 4289/9000 [1:51:02<6:13:28, 4.76s/it][Dataset] cur_step=4290 phase=B_anchor_generation[Dataset] cur_step=4290 phase=B_anchor_generation + +[Dataset] cur_step=4290 phase=B_anchor_generation[Dataset] cur_step=4290 phase=B_anchor_generation + 48%|██████████████▎ | 4290/9000 [1:51:02<5:53:10, 4.50s/it] +[Dataset] cur_step=4290 phase=B_anchor_generation +[Dataset] cur_step=4290 phase=B_anchor_generation +[Dataset] cur_step=4290 phase=B_anchor_generation[Dataset] cur_step=4290 phase=B_anchor_generation + + {'loss': '2.668', 'grad_norm': '1.518', 'learning_rate': '2.898e-05', 'epoch': '0.1543'} + 48%|██████████████▎ | 4290/9000 [1:51:02<5:53:10, 4.50s/it] {'lm_loss': '0.0001749', 'visual_loss': '2.946', 'seg_loss': '0.7625', 'dino_loss': '0.9116', 'depth_loss': '0.3035', 'vggt_mse_loss': '0.3013', 'vggt_cos_loss': '0.02248', 'pidinet_loss': '0.2584', 'siglip_loss': '0.7097', 'epoch': '0.1543'} + 48%|██████████████▎ | 4290/9000 [1:51:05<5:53:10, 4.50s/it][Dataset] cur_step=4291 phase=B_anchor_generation +[Dataset] cur_step=4291 phase=B_anchor_generation +[Dataset] cur_step=4291 phase=B_anchor_generation[Dataset] cur_step=4291 phase=B_anchor_generation + +[Dataset] cur_step=4291 phase=B_anchor_generation +[Dataset] cur_step=4291 phase=B_anchor_generation[Dataset] cur_step=4291 phase=B_anchor_generation + + 48%|██████████████▎ | 4291/9000 [1:51:06<5:39:45, 4.33s/it][Dataset] cur_step=4291 phase=B_anchor_generation + {'loss': '2.785', 'grad_norm': '2.321', 'learning_rate': '2.897e-05', 'epoch': '0.1544'} + 48%|██████████████▎ | 4291/9000 [1:51:06<5:39:45, 4.33s/it] {'lm_loss': '0.0003933', 'visual_loss': '2.739', 'seg_loss': '0.736', 'dino_loss': '0.908', 'depth_loss': '0.2619', 'vggt_mse_loss': '0.2599', 'vggt_cos_loss': '0.01954', 'pidinet_loss': '0.2698', 'siglip_loss': '0.563', 'epoch': '0.1544'} + 48%|██████████████▎ | 4291/9000 [1:51:09<5:39:45, 4.33s/it][Dataset] cur_step=4292 phase=B_anchor_generation +[Dataset] cur_step=4292 phase=B_anchor_generation +[Dataset] cur_step=4292 phase=B_anchor_generation +[Dataset] cur_step=4292 phase=B_anchor_generation +[Dataset] cur_step=4292 phase=B_anchor_generation +[Dataset] cur_step=4292 phase=B_anchor_generation +[Dataset] cur_step=4292 phase=B_anchor_generation +[Dataset] cur_step=4292 phase=B_anchor_generation 48%|██████████████▎ | 4292/9000 [1:51:10<5:31:56, 4.23s/it] + {'loss': '2.806', 'grad_norm': '1.77', 'learning_rate': '2.896e-05', 'epoch': '0.1544'} + 48%|██████████████▎ | 4292/9000 [1:51:10<5:31:56, 4.23s/it] {'lm_loss': '0.0004948', 'visual_loss': '2.596', 'seg_loss': '0.7373', 'dino_loss': '0.8837', 'depth_loss': '0.2749', 'vggt_mse_loss': '0.2736', 'vggt_cos_loss': '0.01354', 'pidinet_loss': '0.2245', 'siglip_loss': '0.4751', 'epoch': '0.1544'} + 48%|██████████████▎ | 4292/9000 [1:51:14<5:31:56, 4.23s/it][Dataset] cur_step=4293 phase=B_anchor_generation + 48%|██████████████▎ | 4293/9000 [1:51:14<5:20:11, 4.08s/it][Dataset] cur_step=4293 phase=B_anchor_generation +[Dataset] cur_step=4293 phase=B_anchor_generation +[Dataset] cur_step=4293 phase=B_anchor_generation[Dataset] cur_step=4293 phase=B_anchor_generation + +[Dataset] cur_step=4293 phase=B_anchor_generation +[Dataset] cur_step=4293 phase=B_anchor_generation +[Dataset] cur_step=4293 phase=B_anchor_generation + {'loss': '2.786', 'grad_norm': '4.025', 'learning_rate': '2.895e-05', 'epoch': '0.1544'} + 48%|██████████████▎ | 4293/9000 [1:51:14<5:20:11, 4.08s/it] {'lm_loss': '0.0001418', 'visual_loss': '2.949', 'seg_loss': '0.764', 'dino_loss': '0.9178', 'depth_loss': '0.2741', 'vggt_mse_loss': '0.2722', 'vggt_cos_loss': '0.01926', 'pidinet_loss': '0.2301', 'siglip_loss': '0.7626', 'epoch': '0.1544'} + 48%|██████████████▎ | 4293/9000 [1:51:17<5:20:11, 4.08s/it][Dataset] cur_step=4294 phase=B_anchor_generation +[Dataset] cur_step=4294 phase=B_anchor_generation +[Dataset] cur_step=4294 phase=B_anchor_generation[Dataset] cur_step=4294 phase=B_anchor_generation[Dataset] cur_step=4294 phase=B_anchor_generation + + +[Dataset] cur_step=4294 phase=B_anchor_generation +[Dataset] cur_step=4294 phase=B_anchor_generation + 48%|██████████████▎ | 4294/9000 [1:51:18<5:23:06, 4.12s/it][Dataset] cur_step=4294 phase=B_anchor_generation + {'loss': '2.724', 'grad_norm': '11.66', 'learning_rate': '2.894e-05', 'epoch': '0.1545'} + 48%|██████████████▎ | 4294/9000 [1:51:18<5:23:06, 4.12s/it] {'lm_loss': '0.0001641', 'visual_loss': '3.092', 'seg_loss': '0.8858', 'dino_loss': '0.9488', 'depth_loss': '0.3287', 'vggt_mse_loss': '0.3263', 'vggt_cos_loss': '0.02448', 'pidinet_loss': '0.2695', 'siglip_loss': '0.659', 'epoch': '0.1545'} + 48%|██████████████▎ | 4294/9000 [1:51:22<5:23:06, 4.12s/it][Dataset] cur_step=4295 phase=B_anchor_generation +[Dataset] cur_step=4295 phase=B_anchor_generation +[Dataset] cur_step=4295 phase=B_anchor_generation[Dataset] cur_step=4295 phase=B_anchor_generation + +[Dataset] cur_step=4295 phase=B_anchor_generation +[Dataset] cur_step=4295 phase=B_anchor_generation + 48%|██████████████▎ | 4295/9000 [1:51:22<5:18:32, 4.06s/it][Dataset] cur_step=4295 phase=B_anchor_generation +[Dataset] cur_step=4295 phase=B_anchor_generation + {'loss': '2.847', 'grad_norm': '3.223', 'learning_rate': '2.893e-05', 'epoch': '0.1545'} + 48%|██████████████▎ | 4295/9000 [1:51:22<5:18:32, 4.06s/it] {'lm_loss': '0.0001849', 'visual_loss': '2.646', 'seg_loss': '0.7137', 'dino_loss': '0.8688', 'depth_loss': '0.3145', 'vggt_mse_loss': '0.3127', 'vggt_cos_loss': '0.01803', 'pidinet_loss': '0.2254', 'siglip_loss': '0.524', 'epoch': '0.1545'} + 48%|██████████████▎ | 4295/9000 [1:51:26<5:18:32, 4.06s/it][Dataset] cur_step=4296 phase=B_anchor_generation +[Dataset] cur_step=4296 phase=B_anchor_generation +[Dataset] cur_step=4296 phase=B_anchor_generation[Dataset] cur_step=4296 phase=B_anchor_generation + +[Dataset] cur_step=4296 phase=B_anchor_generation + 48%|██████████████▎ | 4296/9000 [1:51:26<5:16:54, 4.04s/it][Dataset] cur_step=4296 phase=B_anchor_generation +[Dataset] cur_step=4296 phase=B_anchor_generation +[Dataset] cur_step=4296 phase=B_anchor_generation + {'loss': '2.808', 'grad_norm': '1.699', 'learning_rate': '2.892e-05', 'epoch': '0.1545'} + 48%|██████████████▎ | 4296/9000 [1:51:26<5:16:54, 4.04s/it] {'lm_loss': '0.0003307', 'visual_loss': '2.469', 'seg_loss': '0.5821', 'dino_loss': '0.8877', 'depth_loss': '0.259', 'vggt_mse_loss': '0.2578', 'vggt_cos_loss': '0.01255', 'pidinet_loss': '0.1338', 'siglip_loss': '0.6065', 'epoch': '0.1545'} + 48%|██████████████▎ | 4296/9000 [1:51:30<5:16:54, 4.04s/it][Dataset] cur_step=4297 phase=B_anchor_generation +[Dataset] cur_step=4297 phase=B_anchor_generation +[Dataset] cur_step=4297 phase=B_anchor_generation +[Dataset] cur_step=4297 phase=B_anchor_generation +[Dataset] cur_step=4297 phase=B_anchor_generation +[Dataset] cur_step=4297 phase=B_anchor_generation +[Dataset] cur_step=4297 phase=B_anchor_generation + 48%|██████████████▎ | 4297/9000 [1:51:33<6:11:43, 4.74s/it][Dataset] cur_step=4297 phase=B_anchor_generation + {'loss': '2.686', 'grad_norm': '1.598', 'learning_rate': '2.892e-05', 'epoch': '0.1546'} + 48%|██████████████▎ | 4297/9000 [1:51:33<6:11:43, 4.74s/it] {'lm_loss': '0.0001745', 'visual_loss': '2.452', 'seg_loss': '0.7127', 'dino_loss': '0.9052', 'depth_loss': '0.2633', 'vggt_mse_loss': '0.2619', 'vggt_cos_loss': '0.01452', 'pidinet_loss': '0.1705', 'siglip_loss': '0.3999', 'epoch': '0.1546'} + 48%|██████████████▎ | 4297/9000 [1:51:36<6:11:43, 4.74s/it][Dataset] cur_step=4298 phase=B_anchor_generation +[Dataset] cur_step=4298 phase=B_anchor_generation +[Dataset] cur_step=4298 phase=B_anchor_generation +[Dataset] cur_step=4298 phase=B_anchor_generation + 48%|██████████████▎ | 4298/9000 [1:51:37<5:54:59, 4.53s/it][Dataset] cur_step=4298 phase=B_anchor_generation +[Dataset] cur_step=4298 phase=B_anchor_generation +[Dataset] cur_step=4298 phase=B_anchor_generation +[Dataset] cur_step=4298 phase=B_anchor_generation + {'loss': '2.74', 'grad_norm': '1.526', 'learning_rate': '2.891e-05', 'epoch': '0.1546'} + 48%|██████████████▎ | 4298/9000 [1:51:37<5:54:59, 4.53s/it] {'lm_loss': '0.000253', 'visual_loss': '2.741', 'seg_loss': '0.7225', 'dino_loss': '0.9123', 'depth_loss': '0.2998', 'vggt_mse_loss': '0.2979', 'vggt_cos_loss': '0.019', 'pidinet_loss': '0.1732', 'siglip_loss': '0.6331', 'epoch': '0.1546'} + 48%|██████████████▎ | 4298/9000 [1:51:40<5:54:59, 4.53s/it][Dataset] cur_step=4299 phase=B_anchor_generation +[Dataset] cur_step=4299 phase=B_anchor_generation +[Dataset] cur_step=4299 phase=B_anchor_generation +[Dataset] cur_step=4299 phase=B_anchor_generation[Dataset] cur_step=4299 phase=B_anchor_generation +[Dataset] cur_step=4299 phase=B_anchor_generation +[Dataset] cur_step=4299 phase=B_anchor_generation + + 48%|██████████████▎ | 4299/9000 [1:51:41<5:43:55, 4.39s/it][Dataset] cur_step=4299 phase=B_anchor_generation + {'loss': '2.779', 'grad_norm': '1.323', 'learning_rate': '2.89e-05', 'epoch': '0.1547'} + 48%|██████████████▎ | 4299/9000 [1:51:41<5:43:55, 4.39s/it] {'lm_loss': '0.0002064', 'visual_loss': '2.938', 'seg_loss': '0.8879', 'dino_loss': '0.9565', 'depth_loss': '0.2465', 'vggt_mse_loss': '0.2452', 'vggt_cos_loss': '0.01312', 'pidinet_loss': '0.2119', 'siglip_loss': '0.6347', 'epoch': '0.1547'} + 48%|██████████████▎ | 4299/9000 [1:51:43<5:43:55, 4.39s/it][Dataset] cur_step=4300 phase=B_anchor_generation +[Dataset] cur_step=4300 phase=B_anchor_generation[Dataset] cur_step=4300 phase=B_anchor_generation + +[Dataset] cur_step=4300 phase=B_anchor_generation +[Dataset] cur_step=4300 phase=B_anchor_generation +[Dataset] cur_step=4300 phase=B_anchor_generation +[Dataset] cur_step=4300 phase=B_anchor_generation 48%|██████████████▎ | 4300/9000 [1:51:45<5:30:48, 4.22s/it] +[Dataset] cur_step=4300 phase=B_anchor_generation + {'loss': '2.693', 'grad_norm': '1.271', 'learning_rate': '2.889e-05', 'epoch': '0.1547'} + 48%|██████████████▎ | 4300/9000 [1:51:45<5:30:48, 4.22s/it] {'lm_loss': '0.0001808', 'visual_loss': '2.554', 'seg_loss': '0.7046', 'dino_loss': '0.8837', 'depth_loss': '0.2919', 'vggt_mse_loss': '0.2901', 'vggt_cos_loss': '0.01859', 'pidinet_loss': '0.2043', 'siglip_loss': '0.4693', 'epoch': '0.1547'} + 48%|██████████████▎ | 4300/9000 [1:51:48<5:30:48, 4.22s/it][Dataset] cur_step=4301 phase=B_anchor_generation +[Dataset] cur_step=4301 phase=B_anchor_generation +[Dataset] cur_step=4301 phase=B_anchor_generation +[Dataset] cur_step=4301 phase=B_anchor_generation + 48%|██████████████▎ | 4301/9000 [1:51:51<6:23:08, 4.89s/it][Dataset] cur_step=4301 phase=B_anchor_generation +[Dataset] cur_step=4301 phase=B_anchor_generation[Dataset] cur_step=4301 phase=B_anchor_generation + +[Dataset] cur_step=4301 phase=B_anchor_generation + {'loss': '2.763', 'grad_norm': '1.155', 'learning_rate': '2.888e-05', 'epoch': '0.1547'} + 48%|██████████████▎ | 4301/9000 [1:51:51<6:23:08, 4.89s/it] {'lm_loss': '0.0001667', 'visual_loss': '2.916', 'seg_loss': '0.907', 'dino_loss': '0.9195', 'depth_loss': '0.2627', 'vggt_mse_loss': '0.2606', 'vggt_cos_loss': '0.0207', 'pidinet_loss': '0.2263', 'siglip_loss': '0.6008', 'epoch': '0.1547'} + 48%|██████████████▎ | 4301/9000 [1:51:54<6:23:08, 4.89s/it][Dataset] cur_step=4302 phase=B_anchor_generation +[Dataset] cur_step=4302 phase=B_anchor_generation +[Dataset] cur_step=4302 phase=B_anchor_generation +[Dataset] cur_step=4302 phase=B_anchor_generation[Dataset] cur_step=4302 phase=B_anchor_generation + +[Dataset] cur_step=4302 phase=B_anchor_generation +[Dataset] cur_step=4302 phase=B_anchor_generation + 48%|██████████████▎ | 4302/9000 [1:51:55<6:00:46, 4.61s/it][Dataset] cur_step=4302 phase=B_anchor_generation + {'loss': '2.666', 'grad_norm': '1.216', 'learning_rate': '2.887e-05', 'epoch': '0.1548'} + 48%|██████████████▎ | 4302/9000 [1:51:55<6:00:46, 4.61s/it] {'lm_loss': '0.0002266', 'visual_loss': '3.115', 'seg_loss': '0.8797', 'dino_loss': '0.9399', 'depth_loss': '0.2388', 'vggt_mse_loss': '0.237', 'vggt_cos_loss': '0.01758', 'pidinet_loss': '0.2333', 'siglip_loss': '0.8237', 'epoch': '0.1548'} + 48%|██████████████▎ | 4302/9000 [1:51:58<6:00:46, 4.61s/it][Dataset] cur_step=4303 phase=B_anchor_generation +[Dataset] cur_step=4303 phase=B_anchor_generation[Dataset] cur_step=4303 phase=B_anchor_generation + +[Dataset] cur_step=4303 phase=B_anchor_generation +[Dataset] cur_step=4303 phase=B_anchor_generation +[Dataset] cur_step=4303 phase=B_anchor_generation +[Dataset] cur_step=4303 phase=B_anchor_generation + 48%|██████████████▎ | 4303/9000 [1:51:59<5:42:25, 4.37s/it][Dataset] cur_step=4303 phase=B_anchor_generation + {'loss': '2.737', 'grad_norm': '1.886', 'learning_rate': '2.886e-05', 'epoch': '0.1548'} + 48%|██████████████▎ | 4303/9000 [1:51:59<5:42:25, 4.37s/it] {'lm_loss': '0.0007081', 'visual_loss': '2.927', 'seg_loss': '0.7317', 'dino_loss': '0.9104', 'depth_loss': '0.3093', 'vggt_mse_loss': '0.307', 'vggt_cos_loss': '0.02385', 'pidinet_loss': '0.1529', 'siglip_loss': '0.8229', 'epoch': '0.1548'} + 48%|██████████████▎ | 4303/9000 [1:52:02<5:42:25, 4.37s/it][Dataset] cur_step=4304 phase=B_anchor_generation +[Dataset] cur_step=4304 phase=B_anchor_generation[Dataset] cur_step=4304 phase=B_anchor_generation + +[Dataset] cur_step=4304 phase=B_anchor_generation 48%|██████████████▎ | 4304/9000 [1:52:03<5:28:53, 4.20s/it] +[Dataset] cur_step=4304 phase=B_anchor_generation +[Dataset] cur_step=4304 phase=B_anchor_generation +[Dataset] cur_step=4304 phase=B_anchor_generation +[Dataset] cur_step=4304 phase=B_anchor_generation + {'loss': '2.773', 'grad_norm': '1.626', 'learning_rate': '2.885e-05', 'epoch': '0.1548'} + 48%|██████████████▎ | 4304/9000 [1:52:03<5:28:53, 4.20s/it] {'lm_loss': '0.0002819', 'visual_loss': '2.329', 'seg_loss': '0.6535', 'dino_loss': '0.8912', 'depth_loss': '0.3016', 'vggt_mse_loss': '0.3004', 'vggt_cos_loss': '0.01273', 'pidinet_loss': '0.1394', 'siglip_loss': '0.343', 'epoch': '0.1548'} + 48%|██████████████▎ | 4304/9000 [1:52:06<5:28:53, 4.20s/it][Dataset] cur_step=4305 phase=B_anchor_generation[Dataset] cur_step=4305 phase=B_anchor_generation + +[Dataset] cur_step=4305 phase=B_anchor_generation +[Dataset] cur_step=4305 phase=B_anchor_generation +[Dataset] cur_step=4305 phase=B_anchor_generation + 48%|██████████████▎ | 4305/9000 [1:52:07<5:28:27, 4.20s/it][Dataset] cur_step=4305 phase=B_anchor_generation[Dataset] cur_step=4305 phase=B_anchor_generation + +[Dataset] cur_step=4305 phase=B_anchor_generation + {'loss': '2.756', 'grad_norm': '5.331', 'learning_rate': '2.884e-05', 'epoch': '0.1549'} + 48%|██████████████▎ | 4305/9000 [1:52:07<5:28:27, 4.20s/it] {'lm_loss': '0.0003536', 'visual_loss': '2.584', 'seg_loss': '0.6398', 'dino_loss': '0.8947', 'depth_loss': '0.2409', 'vggt_mse_loss': '0.2397', 'vggt_cos_loss': '0.01259', 'pidinet_loss': '0.2057', 'siglip_loss': '0.6035', 'epoch': '0.1549'} + 48%|██████████████▎ | 4305/9000 [1:52:10<5:28:27, 4.20s/it][Dataset] cur_step=4306 phase=B_anchor_generation +[Dataset] cur_step=4306 phase=B_anchor_generation +[Dataset] cur_step=4306 phase=B_anchor_generation +[Dataset] cur_step=4306 phase=B_anchor_generation +[Dataset] cur_step=4306 phase=B_anchor_generation[Dataset] cur_step=4306 phase=B_anchor_generation + +[Dataset] cur_step=4306 phase=B_anchor_generation + 48%|██████████████▎ | 4306/9000 [1:52:15<7:05:49, 5.44s/it][Dataset] cur_step=4306 phase=B_anchor_generation + {'loss': '2.615', 'grad_norm': '1.229', 'learning_rate': '2.883e-05', 'epoch': '0.1549'} + 48%|██████████████▎ | 4306/9000 [1:52:15<7:05:49, 5.44s/it] {'lm_loss': '0.0003278', 'visual_loss': '2.661', 'seg_loss': '0.7352', 'dino_loss': '0.9006', 'depth_loss': '0.2306', 'vggt_mse_loss': '0.2288', 'vggt_cos_loss': '0.01766', 'pidinet_loss': '0.2068', 'siglip_loss': '0.5877', 'epoch': '0.1549'} + 48%|██████████████▎ | 4306/9000 [1:52:18<7:05:49, 5.44s/it][Dataset] cur_step=4307 phase=B_anchor_generation +[Dataset] cur_step=4307 phase=B_anchor_generation +[Dataset] cur_step=4307 phase=B_anchor_generation +[Dataset] cur_step=4307 phase=B_anchor_generation +[Dataset] cur_step=4307 phase=B_anchor_generation +[Dataset] cur_step=4307 phase=B_anchor_generation +[Dataset] cur_step=4307 phase=B_anchor_generation + 48%|██████████████▎ | 4307/9000 [1:52:19<6:33:50, 5.04s/it][Dataset] cur_step=4307 phase=B_anchor_generation + {'loss': '2.686', 'grad_norm': '14.96', 'learning_rate': '2.882e-05', 'epoch': '0.1549'} + 48%|██████████████▎ | 4307/9000 [1:52:19<6:33:50, 5.04s/it] {'lm_loss': '0.0002383', 'visual_loss': '2.32', 'seg_loss': '0.6148', 'dino_loss': '0.8797', 'depth_loss': '0.2779', 'vggt_mse_loss': '0.2766', 'vggt_cos_loss': '0.01253', 'pidinet_loss': '0.1422', 'siglip_loss': '0.4057', 'epoch': '0.1549'} + 48%|██████████████▎ | 4307/9000 [1:52:22<6:33:50, 5.04s/it][Dataset] cur_step=4308 phase=B_anchor_generation +[Dataset] cur_step=4308 phase=B_anchor_generation[Dataset] cur_step=4308 phase=B_anchor_generation + +[Dataset] cur_step=4308 phase=B_anchor_generation[Dataset] cur_step=4308 phase=B_anchor_generation + +[Dataset] cur_step=4308 phase=B_anchor_generation + 48%|██████████████▎ | 4308/9000 [1:52:23<6:09:15, 4.72s/it][Dataset] cur_step=4308 phase=B_anchor_generation +[Dataset] cur_step=4308 phase=B_anchor_generation + {'loss': '2.653', 'grad_norm': '1.183', 'learning_rate': '2.882e-05', 'epoch': '0.155'} + 48%|██████████████▎ | 4308/9000 [1:52:23<6:09:15, 4.72s/it] {'lm_loss': '0.0005924', 'visual_loss': '2.8', 'seg_loss': '0.7534', 'dino_loss': '0.9233', 'depth_loss': '0.3561', 'vggt_mse_loss': '0.3538', 'vggt_cos_loss': '0.02281', 'pidinet_loss': '0.215', 'siglip_loss': '0.5522', 'epoch': '0.155'} + 48%|██████████████▎ | 4308/9000 [1:52:26<6:09:15, 4.72s/it][Dataset] cur_step=4309 phase=B_anchor_generation +[Dataset] cur_step=4309 phase=B_anchor_generation[Dataset] cur_step=4309 phase=B_anchor_generation[Dataset] cur_step=4309 phase=B_anchor_generation + + +[Dataset] cur_step=4309 phase=B_anchor_generation +[Dataset] cur_step=4309 phase=B_anchor_generation +[Dataset] cur_step=4309 phase=B_anchor_generation +[Dataset] cur_step=4309 phase=B_anchor_generation + 48%|██████████████▎ | 4309/9000 [1:52:27<5:56:19, 4.56s/it] {'loss': '2.73', 'grad_norm': '1.378', 'learning_rate': '2.881e-05', 'epoch': '0.155'} + 48%|██████████████▎ | 4309/9000 [1:52:27<5:56:19, 4.56s/it] {'lm_loss': '0.0003501', 'visual_loss': '2.609', 'seg_loss': '0.7212', 'dino_loss': '0.8858', 'depth_loss': '0.2495', 'vggt_mse_loss': '0.2478', 'vggt_cos_loss': '0.01709', 'pidinet_loss': '0.2689', 'siglip_loss': '0.484', 'epoch': '0.155'} + 48%|██████████████▎ | 4309/9000 [1:52:31<5:56:19, 4.56s/it][Dataset] cur_step=4310 phase=B_anchor_generation +[Dataset] cur_step=4310 phase=B_anchor_generation[Dataset] cur_step=4310 phase=B_anchor_generation + +[Dataset] cur_step=4310 phase=B_anchor_generation + 48%|██████████████▎ | 4310/9000 [1:52:32<5:49:46, 4.47s/it][Dataset] cur_step=4310 phase=B_anchor_generation +[Dataset] cur_step=4310 phase=B_anchor_generation +[Dataset] cur_step=4310 phase=B_anchor_generation +[Dataset] cur_step=4310 phase=B_anchor_generation + {'loss': '2.765', 'grad_norm': '15.17', 'learning_rate': '2.88e-05', 'epoch': '0.1551'} + 48%|██████████████▎ | 4310/9000 [1:52:32<5:49:46, 4.47s/it] {'lm_loss': '0.0002618', 'visual_loss': '2.93', 'seg_loss': '0.8073', 'dino_loss': '0.9009', 'depth_loss': '0.2163', 'vggt_mse_loss': '0.2148', 'vggt_cos_loss': '0.01542', 'pidinet_loss': '0.2637', 'siglip_loss': '0.7417', 'epoch': '0.1551'} + 48%|██████████████▎ | 4310/9000 [1:52:35<5:49:46, 4.47s/it][Dataset] cur_step=4311 phase=B_anchor_generation[Dataset] cur_step=4311 phase=B_anchor_generation + + 48%|██████████████▎ | 4311/9000 [1:52:35<5:27:06, 4.19s/it][Dataset] cur_step=4311 phase=B_anchor_generation +[Dataset] cur_step=4311 phase=B_anchor_generation +[Dataset] cur_step=4311 phase=B_anchor_generation[Dataset] cur_step=4311 phase=B_anchor_generation + +[Dataset] cur_step=4311 phase=B_anchor_generation +[Dataset] cur_step=4311 phase=B_anchor_generation + {'loss': '2.853', 'grad_norm': '1.769', 'learning_rate': '2.879e-05', 'epoch': '0.1551'} + 48%|██████████████▎ | 4311/9000 [1:52:35<5:27:06, 4.19s/it] {'lm_loss': '0.0001488', 'visual_loss': '2.955', 'seg_loss': '0.7728', 'dino_loss': '0.8851', 'depth_loss': '0.329', 'vggt_mse_loss': '0.3264', 'vggt_cos_loss': '0.02603', 'pidinet_loss': '0.262', 'siglip_loss': '0.7063', 'epoch': '0.1551'} + 48%|██████████████▎ | 4311/9000 [1:52:38<5:27:06, 4.19s/it][Dataset] cur_step=4312 phase=B_anchor_generation +[Dataset] cur_step=4312 phase=B_anchor_generation +[Dataset] cur_step=4312 phase=B_anchor_generation +[Dataset] cur_step=4312 phase=B_anchor_generation +[Dataset] cur_step=4312 phase=B_anchor_generation +[Dataset] cur_step=4312 phase=B_anchor_generation +[Dataset] cur_step=4312 phase=B_anchor_generation + 48%|██████████████▎ | 4312/9000 [1:52:39<5:28:24, 4.20s/it][Dataset] cur_step=4312 phase=B_anchor_generation + {'loss': '2.696', 'grad_norm': '1.499', 'learning_rate': '2.878e-05', 'epoch': '0.1551'} + 48%|██████████████▎ | 4312/9000 [1:52:39<5:28:24, 4.20s/it] {'lm_loss': '0.0002088', 'visual_loss': '2.68', 'seg_loss': '0.799', 'dino_loss': '0.9063', 'depth_loss': '0.2459', 'vggt_mse_loss': '0.2447', 'vggt_cos_loss': '0.0117', 'pidinet_loss': '0.183', 'siglip_loss': '0.5456', 'epoch': '0.1551'} + 48%|██████████████▎ | 4312/9000 [1:52:43<5:28:24, 4.20s/it][Dataset] cur_step=4313 phase=B_anchor_generation +[Dataset] cur_step=4313 phase=B_anchor_generation +[Dataset] cur_step=4313 phase=B_anchor_generation +[Dataset] cur_step=4313 phase=B_anchor_generation +[Dataset] cur_step=4313 phase=B_anchor_generation[Dataset] cur_step=4313 phase=B_anchor_generation[Dataset] cur_step=4313 phase=B_anchor_generation + + +[Dataset] cur_step=4313 phase=B_anchor_generation + 48%|██████████████▍ | 4313/9000 [1:52:44<5:38:03, 4.33s/it] {'loss': '2.634', 'grad_norm': '1.402', 'learning_rate': '2.877e-05', 'epoch': '0.1552'} + 48%|██████████████▍ | 4313/9000 [1:52:44<5:38:03, 4.33s/it] {'lm_loss': '0.0002833', 'visual_loss': '3.022', 'seg_loss': '0.6889', 'dino_loss': '0.9346', 'depth_loss': '0.5727', 'vggt_mse_loss': '0.567', 'vggt_cos_loss': '0.05736', 'pidinet_loss': '0.2206', 'siglip_loss': '0.6056', 'epoch': '0.1552'} + 48%|██████████████▍ | 4313/9000 [1:52:47<5:38:03, 4.33s/it][Dataset] cur_step=4314 phase=B_anchor_generation +[Dataset] cur_step=4314 phase=B_anchor_generation[Dataset] cur_step=4314 phase=B_anchor_generation + +[Dataset] cur_step=4314 phase=B_anchor_generation +[Dataset] cur_step=4314 phase=B_anchor_generation[Dataset] cur_step=4314 phase=B_anchor_generation +[Dataset] cur_step=4314 phase=B_anchor_generation + + 48%|██████████████▍ | 4314/9000 [1:52:48<5:33:19, 4.27s/it][Dataset] cur_step=4314 phase=B_anchor_generation + {'loss': '2.817', 'grad_norm': '1.825', 'learning_rate': '2.876e-05', 'epoch': '0.1552'} + 48%|██████████████▍ | 4314/9000 [1:52:48<5:33:19, 4.27s/it] {'lm_loss': '0.0001415', 'visual_loss': '2.783', 'seg_loss': '0.8041', 'dino_loss': '0.9314', 'depth_loss': '0.2307', 'vggt_mse_loss': '0.2291', 'vggt_cos_loss': '0.01577', 'pidinet_loss': '0.235', 'siglip_loss': '0.5818', 'epoch': '0.1552'} + 48%|██████████████▍ | 4314/9000 [1:52:51<5:33:19, 4.27s/it][Dataset] cur_step=4315 phase=B_anchor_generation[Dataset] cur_step=4315 phase=B_anchor_generation + +[Dataset] cur_step=4315 phase=B_anchor_generation +[Dataset] cur_step=4315 phase=B_anchor_generation +[Dataset] cur_step=4315 phase=B_anchor_generation + 48%|██████████████▍ | 4315/9000 [1:52:52<5:24:01, 4.15s/it][Dataset] cur_step=4315 phase=B_anchor_generation[Dataset] cur_step=4315 phase=B_anchor_generation + +[Dataset] cur_step=4315 phase=B_anchor_generation + {'loss': '2.74', 'grad_norm': '1.616', 'learning_rate': '2.875e-05', 'epoch': '0.1552'} + 48%|██████████████▍ | 4315/9000 [1:52:52<5:24:01, 4.15s/it] {'lm_loss': '0.000215', 'visual_loss': '2.561', 'seg_loss': '0.6456', 'dino_loss': '0.9202', 'depth_loss': '0.2965', 'vggt_mse_loss': '0.2948', 'vggt_cos_loss': '0.01744', 'pidinet_loss': '0.1712', 'siglip_loss': '0.5279', 'epoch': '0.1552'} + 48%|██████████████▍ | 4315/9000 [1:52:56<5:24:01, 4.15s/it][Dataset] cur_step=4316 phase=B_anchor_generation +[Dataset] cur_step=4316 phase=B_anchor_generation +[Dataset] cur_step=4316 phase=B_anchor_generation[Dataset] cur_step=4316 phase=B_anchor_generation + 48%|██████████████▍ | 4316/9000 [1:52:56<5:18:01, 4.07s/it] +[Dataset] cur_step=4316 phase=B_anchor_generation[Dataset] cur_step=4316 phase=B_anchor_generation + +[Dataset] cur_step=4316 phase=B_anchor_generation +[Dataset] cur_step=4316 phase=B_anchor_generation + {'loss': '2.75', 'grad_norm': '4.301', 'learning_rate': '2.874e-05', 'epoch': '0.1553'} + 48%|██████████████▍ | 4316/9000 [1:52:56<5:18:01, 4.07s/it] {'lm_loss': '0.000531', 'visual_loss': '2.673', 'seg_loss': '0.7247', 'dino_loss': '0.9148', 'depth_loss': '0.2792', 'vggt_mse_loss': '0.2769', 'vggt_cos_loss': '0.02352', 'pidinet_loss': '0.2185', 'siglip_loss': '0.5357', 'epoch': '0.1553'} + 48%|██████████████▍ | 4316/9000 [1:52:59<5:18:01, 4.07s/it][Dataset] cur_step=4317 phase=B_anchor_generation[Dataset] cur_step=4317 phase=B_anchor_generation +[Dataset] cur_step=4317 phase=B_anchor_generation + +[Dataset] cur_step=4317 phase=B_anchor_generation +[Dataset] cur_step=4317 phase=B_anchor_generation +[Dataset] cur_step=4317 phase=B_anchor_generation +[Dataset] cur_step=4317 phase=B_anchor_generation +[Dataset] cur_step=4317 phase=B_anchor_generation + 48%|██████████████▍ | 4317/9000 [1:53:00<5:13:32, 4.02s/it] {'loss': '2.803', 'grad_norm': '1.748', 'learning_rate': '2.873e-05', 'epoch': '0.1553'} + 48%|██████████████▍ | 4317/9000 [1:53:00<5:13:32, 4.02s/it] {'lm_loss': '0.000213', 'visual_loss': '2.741', 'seg_loss': '0.7949', 'dino_loss': '0.9179', 'depth_loss': '0.2675', 'vggt_mse_loss': '0.2656', 'vggt_cos_loss': '0.01949', 'pidinet_loss': '0.2771', 'siglip_loss': '0.4841', 'epoch': '0.1553'} + 48%|██████████████▍ | 4317/9000 [1:53:03<5:13:32, 4.02s/it][Dataset] cur_step=4318 phase=B_anchor_generation +[Dataset] cur_step=4318 phase=B_anchor_generation +[Dataset] cur_step=4318 phase=B_anchor_generation +[Dataset] cur_step=4318 phase=B_anchor_generation +[Dataset] cur_step=4318 phase=B_anchor_generation[Dataset] cur_step=4318 phase=B_anchor_generation + + 48%|██████████████▍ | 4318/9000 [1:53:06<5:58:07, 4.59s/it][Dataset] cur_step=4318 phase=B_anchor_generation[Dataset] cur_step=4318 phase=B_anchor_generation + + {'loss': '2.747', 'grad_norm': '1.816', 'learning_rate': '2.872e-05', 'epoch': '0.1553'} + 48%|██████████████▍ | 4318/9000 [1:53:06<5:58:07, 4.59s/it] {'lm_loss': '0.0002187', 'visual_loss': '2.95', 'seg_loss': '0.7748', 'dino_loss': '0.9461', 'depth_loss': '0.3083', 'vggt_mse_loss': '0.306', 'vggt_cos_loss': '0.02325', 'pidinet_loss': '0.234', 'siglip_loss': '0.6872', 'epoch': '0.1553'} + 48%|██████████████▍ | 4318/9000 [1:53:09<5:58:07, 4.59s/it][Dataset] cur_step=4319 phase=B_anchor_generation +[Dataset] cur_step=4319 phase=B_anchor_generation[Dataset] cur_step=4319 phase=B_anchor_generation + +[Dataset] cur_step=4319 phase=B_anchor_generation[Dataset] cur_step=4319 phase=B_anchor_generation + +[Dataset] cur_step=4319 phase=B_anchor_generation 48%|██████████████▍ | 4319/9000 [1:53:10<5:45:18, 4.43s/it][Dataset] cur_step=4319 phase=B_anchor_generation + +[Dataset] cur_step=4319 phase=B_anchor_generation + {'loss': '2.763', 'grad_norm': '2.715', 'learning_rate': '2.872e-05', 'epoch': '0.1554'} + 48%|██████████████▍ | 4319/9000 [1:53:10<5:45:18, 4.43s/it] {'lm_loss': '0.0002358', 'visual_loss': '2.971', 'seg_loss': '0.9325', 'dino_loss': '0.9056', 'depth_loss': '0.2877', 'vggt_mse_loss': '0.286', 'vggt_cos_loss': '0.01676', 'pidinet_loss': '0.2412', 'siglip_loss': '0.6038', 'epoch': '0.1554'} + 48%|██████████████▍ | 4319/9000 [1:53:13<5:45:18, 4.43s/it][Dataset] cur_step=4320 phase=B_anchor_generation[Dataset] cur_step=4320 phase=B_anchor_generation + +[Dataset] cur_step=4320 phase=B_anchor_generation +[Dataset] cur_step=4320 phase=B_anchor_generation +[Dataset] cur_step=4320 phase=B_anchor_generation +[Dataset] cur_step=4320 phase=B_anchor_generation +[Dataset] cur_step=4320 phase=B_anchor_generation +[Dataset] cur_step=4320 phase=B_anchor_generation + 48%|██████████████▍ | 4320/9000 [1:53:14<5:34:22, 4.29s/it] {'loss': '2.82', 'grad_norm': '1.779', 'learning_rate': '2.871e-05', 'epoch': '0.1554'} + 48%|██████████████▍ | 4320/9000 [1:53:14<5:34:22, 4.29s/it] {'lm_loss': '0.0004008', 'visual_loss': '2.79', 'seg_loss': '0.8387', 'dino_loss': '0.9358', 'depth_loss': '0.2603', 'vggt_mse_loss': '0.2587', 'vggt_cos_loss': '0.01527', 'pidinet_loss': '0.2037', 'siglip_loss': '0.5517', 'epoch': '0.1554'} + 48%|██████████████▍ | 4320/9000 [1:53:17<5:34:22, 4.29s/it][Dataset] cur_step=4321 phase=B_anchor_generation +[Dataset] cur_step=4321 phase=B_anchor_generation[Dataset] cur_step=4321 phase=B_anchor_generation + +[Dataset] cur_step=4321 phase=B_anchor_generation +[Dataset] cur_step=4321 phase=B_anchor_generation +[Dataset] cur_step=4321 phase=B_anchor_generation +[Dataset] cur_step=4321 phase=B_anchor_generation + 48%|██████████████▍ | 4321/9000 [1:53:18<5:32:09, 4.26s/it][Dataset] cur_step=4321 phase=B_anchor_generation + {'loss': '2.726', 'grad_norm': '1.219', 'learning_rate': '2.87e-05', 'epoch': '0.1554'} + 48%|██████████████▍ | 4321/9000 [1:53:18<5:32:09, 4.26s/it] {'lm_loss': '0.0003289', 'visual_loss': '2.78', 'seg_loss': '0.7361', 'dino_loss': '0.8807', 'depth_loss': '0.2528', 'vggt_mse_loss': '0.2514', 'vggt_cos_loss': '0.01415', 'pidinet_loss': '0.2456', 'siglip_loss': '0.6646', 'epoch': '0.1554'} + 48%|██████████████▍ | 4321/9000 [1:53:21<5:32:09, 4.26s/it][Dataset] cur_step=4322 phase=B_anchor_generation +[Dataset] cur_step=4322 phase=B_anchor_generation +[Dataset] cur_step=4322 phase=B_anchor_generation +[Dataset] cur_step=4322 phase=B_anchor_generation +[Dataset] cur_step=4322 phase=B_anchor_generation +[Dataset] cur_step=4322 phase=B_anchor_generation +[Dataset] cur_step=4322 phase=B_anchor_generation +[Dataset] cur_step=4322 phase=B_anchor_generation + 48%|██████████████▍ | 4322/9000 [1:53:22<5:28:00, 4.21s/it] {'loss': '2.852', 'grad_norm': '2.021', 'learning_rate': '2.869e-05', 'epoch': '0.1555'} + 48%|██████████████▍ | 4322/9000 [1:53:22<5:28:00, 4.21s/it] {'lm_loss': '0.000378', 'visual_loss': '2.843', 'seg_loss': '0.7089', 'dino_loss': '0.9124', 'depth_loss': '0.2575', 'vggt_mse_loss': '0.2554', 'vggt_cos_loss': '0.02077', 'pidinet_loss': '0.2384', 'siglip_loss': '0.7261', 'epoch': '0.1555'} + 48%|██████████████▍ | 4322/9000 [1:53:25<5:28:00, 4.21s/it][Dataset] cur_step=4323 phase=B_anchor_generation +[Dataset] cur_step=4323 phase=B_anchor_generation +[Dataset] cur_step=4323 phase=B_anchor_generation +[Dataset] cur_step=4323 phase=B_anchor_generation +[Dataset] cur_step=4323 phase=B_anchor_generation +[Dataset] cur_step=4323 phase=B_anchor_generation + 48%|██████████████▍ | 4323/9000 [1:53:26<5:22:32, 4.14s/it][Dataset] cur_step=4323 phase=B_anchor_generation +[Dataset] cur_step=4323 phase=B_anchor_generation + {'loss': '2.695', 'grad_norm': '1.304', 'learning_rate': '2.868e-05', 'epoch': '0.1555'} + 48%|██████████████▍ | 4323/9000 [1:53:26<5:22:32, 4.14s/it] {'lm_loss': '0.0001854', 'visual_loss': '2.906', 'seg_loss': '0.7299', 'dino_loss': '0.9405', 'depth_loss': '0.2743', 'vggt_mse_loss': '0.2722', 'vggt_cos_loss': '0.02145', 'pidinet_loss': '0.1998', 'siglip_loss': '0.7613', 'epoch': '0.1555'} + 48%|██████████████▍ | 4323/9000 [1:53:29<5:22:32, 4.14s/it][Dataset] cur_step=4324 phase=B_anchor_generation +[Dataset] cur_step=4324 phase=B_anchor_generation +[Dataset] cur_step=4324 phase=B_anchor_generation +[Dataset] cur_step=4324 phase=B_anchor_generation +[Dataset] cur_step=4324 phase=B_anchor_generation[Dataset] cur_step=4324 phase=B_anchor_generation +[Dataset] cur_step=4324 phase=B_anchor_generation + + 48%|██████████████▍ | 4324/9000 [1:53:30<5:15:04, 4.04s/it][Dataset] cur_step=4324 phase=B_anchor_generation + {'loss': '2.81', 'grad_norm': '1.293', 'learning_rate': '2.867e-05', 'epoch': '0.1556'} + 48%|██████████████▍ | 4324/9000 [1:53:30<5:15:04, 4.04s/it] {'lm_loss': '0.0002376', 'visual_loss': '2.824', 'seg_loss': '0.7807', 'dino_loss': '0.8958', 'depth_loss': '0.3105', 'vggt_mse_loss': '0.3084', 'vggt_cos_loss': '0.02163', 'pidinet_loss': '0.2107', 'siglip_loss': '0.6264', 'epoch': '0.1556'} + 48%|██████████████▍ | 4324/9000 [1:53:33<5:15:04, 4.04s/it][Dataset] cur_step=4325 phase=B_anchor_generation +[Dataset] cur_step=4325 phase=B_anchor_generation +[Dataset] cur_step=4325 phase=B_anchor_generation +[Dataset] cur_step=4325 phase=B_anchor_generation +[Dataset] cur_step=4325 phase=B_anchor_generation +[Dataset] cur_step=4325 phase=B_anchor_generation +[Dataset] cur_step=4325 phase=B_anchor_generation + 48%|██████████████▍ | 4325/9000 [1:53:34<5:11:19, 4.00s/it][Dataset] cur_step=4325 phase=B_anchor_generation + {'loss': '2.784', 'grad_norm': '1.512', 'learning_rate': '2.866e-05', 'epoch': '0.1556'} + 48%|██████████████▍ | 4325/9000 [1:53:34<5:11:19, 4.00s/it] {'lm_loss': '0.0002776', 'visual_loss': '2.805', 'seg_loss': '0.7632', 'dino_loss': '0.9216', 'depth_loss': '0.2837', 'vggt_mse_loss': '0.2815', 'vggt_cos_loss': '0.02201', 'pidinet_loss': '0.2406', 'siglip_loss': '0.5957', 'epoch': '0.1556'} + 48%|██████████████▍ | 4325/9000 [1:53:37<5:11:19, 4.00s/it][Dataset] cur_step=4326 phase=B_anchor_generation +[Dataset] cur_step=4326 phase=B_anchor_generation +[Dataset] cur_step=4326 phase=B_anchor_generation +[Dataset] cur_step=4326 phase=B_anchor_generation +[Dataset] cur_step=4326 phase=B_anchor_generation + 48%|██████████████▍ | 4326/9000 [1:53:38<5:18:18, 4.09s/it][Dataset] cur_step=4326 phase=B_anchor_generation +[Dataset] cur_step=4326 phase=B_anchor_generation +[Dataset] cur_step=4326 phase=B_anchor_generation + {'loss': '2.892', 'grad_norm': '1.669', 'learning_rate': '2.865e-05', 'epoch': '0.1556'} + 48%|██████████████▍ | 4326/9000 [1:53:38<5:18:18, 4.09s/it] {'lm_loss': '0.0001278', 'visual_loss': '2.869', 'seg_loss': '0.8078', 'dino_loss': '0.9026', 'depth_loss': '0.2957', 'vggt_mse_loss': '0.2942', 'vggt_cos_loss': '0.0145', 'pidinet_loss': '0.3013', 'siglip_loss': '0.5616', 'epoch': '0.1556'} + 48%|██████████████▍ | 4326/9000 [1:53:41<5:18:18, 4.09s/it][Dataset] cur_step=4327 phase=B_anchor_generation[Dataset] cur_step=4327 phase=B_anchor_generation + +[Dataset] cur_step=4327 phase=B_anchor_generation[Dataset] cur_step=4327 phase=B_anchor_generation + +[Dataset] cur_step=4327 phase=B_anchor_generation + 48%|██████████████▍ | 4327/9000 [1:53:42<5:17:23, 4.08s/it][Dataset] cur_step=4327 phase=B_anchor_generation +[Dataset] cur_step=4327 phase=B_anchor_generation[Dataset] cur_step=4327 phase=B_anchor_generation + + {'loss': '2.802', 'grad_norm': '1.86', 'learning_rate': '2.864e-05', 'epoch': '0.1557'} + 48%|██████████████▍ | 4327/9000 [1:53:42<5:17:23, 4.08s/it] {'lm_loss': '9.091e-05', 'visual_loss': '2.759', 'seg_loss': '0.7658', 'dino_loss': '0.931', 'depth_loss': '0.2469', 'vggt_mse_loss': '0.2454', 'vggt_cos_loss': '0.01516', 'pidinet_loss': '0.2468', 'siglip_loss': '0.5681', 'epoch': '0.1557'} + 48%|██████████████▍ | 4327/9000 [1:53:45<5:17:23, 4.08s/it][Dataset] cur_step=4328 phase=B_anchor_generation +[Dataset] cur_step=4328 phase=B_anchor_generation +[Dataset] cur_step=4328 phase=B_anchor_generation[Dataset] cur_step=4328 phase=B_anchor_generation + +[Dataset] cur_step=4328 phase=B_anchor_generation +[Dataset] cur_step=4328 phase=B_anchor_generation[Dataset] cur_step=4328 phase=B_anchor_generation + + 48%|██████████████▍ | 4328/9000 [1:53:46<5:10:05, 3.98s/it][Dataset] cur_step=4328 phase=B_anchor_generation + {'loss': '2.769', 'grad_norm': '2.349', 'learning_rate': '2.863e-05', 'epoch': '0.1557'} + 48%|██████████████▍ | 4328/9000 [1:53:46<5:10:05, 3.98s/it] {'lm_loss': '0.0001271', 'visual_loss': '2.897', 'seg_loss': '0.7421', 'dino_loss': '0.9281', 'depth_loss': '0.2619', 'vggt_mse_loss': '0.2597', 'vggt_cos_loss': '0.02215', 'pidinet_loss': '0.259', 'siglip_loss': '0.7058', 'epoch': '0.1557'} + 48%|██████████████▍ | 4328/9000 [1:53:49<5:10:05, 3.98s/it][Dataset] cur_step=4329 phase=B_anchor_generation +[Dataset] cur_step=4329 phase=B_anchor_generation +[Dataset] cur_step=4329 phase=B_anchor_generation +[Dataset] cur_step=4329 phase=B_anchor_generation +[Dataset] cur_step=4329 phase=B_anchor_generation + 48%|██████████████▍ | 4329/9000 [1:53:50<5:06:03, 3.93s/it][Dataset] cur_step=4329 phase=B_anchor_generation[Dataset] cur_step=4329 phase=B_anchor_generation + +[Dataset] cur_step=4329 phase=B_anchor_generation + {'loss': '2.868', 'grad_norm': '1.825', 'learning_rate': '2.862e-05', 'epoch': '0.1557'} + 48%|██████████████▍ | 4329/9000 [1:53:50<5:06:03, 3.93s/it] {'lm_loss': '0.0002756', 'visual_loss': '2.963', 'seg_loss': '0.7116', 'dino_loss': '0.9168', 'depth_loss': '0.27', 'vggt_mse_loss': '0.2684', 'vggt_cos_loss': '0.01642', 'pidinet_loss': '0.239', 'siglip_loss': '0.8254', 'epoch': '0.1557'} + 48%|██████████████▍ | 4329/9000 [1:53:53<5:06:03, 3.93s/it][Dataset] cur_step=4330 phase=B_anchor_generation +[Dataset] cur_step=4330 phase=B_anchor_generation +[Dataset] cur_step=4330 phase=B_anchor_generation +[Dataset] cur_step=4330 phase=B_anchor_generation +[Dataset] cur_step=4330 phase=B_anchor_generation +[Dataset] cur_step=4330 phase=B_anchor_generation +[Dataset] cur_step=4330 phase=B_anchor_generation +[Dataset] cur_step=4330 phase=B_anchor_generation + 48%|██████████████▍ | 4330/9000 [1:53:54<5:07:32, 3.95s/it] {'loss': '2.744', 'grad_norm': '2.042', 'learning_rate': '2.862e-05', 'epoch': '0.1558'} + 48%|██████████████▍ | 4330/9000 [1:53:54<5:07:32, 3.95s/it] {'lm_loss': '0.0003047', 'visual_loss': '2.634', 'seg_loss': '0.6983', 'dino_loss': '0.9023', 'depth_loss': '0.2636', 'vggt_mse_loss': '0.2618', 'vggt_cos_loss': '0.0182', 'pidinet_loss': '0.2185', 'siglip_loss': '0.5514', 'epoch': '0.1558'} + 48%|██████████████▍ | 4330/9000 [1:53:57<5:07:32, 3.95s/it][Dataset] cur_step=4331 phase=B_anchor_generation[Dataset] cur_step=4331 phase=B_anchor_generation + +[Dataset] cur_step=4331 phase=B_anchor_generation[Dataset] cur_step=4331 phase=B_anchor_generation + +[Dataset] cur_step=4331 phase=B_anchor_generation[Dataset] cur_step=4331 phase=B_anchor_generation + +[Dataset] cur_step=4331 phase=B_anchor_generation 48%|██████████████▍ | 4331/9000 [1:53:58<5:13:45, 4.03s/it][Dataset] cur_step=4331 phase=B_anchor_generation + + {'loss': '2.74', 'grad_norm': '2.595', 'learning_rate': '2.861e-05', 'epoch': '0.1558'} + 48%|██████████████▍ | 4331/9000 [1:53:58<5:13:45, 4.03s/it] {'lm_loss': '0.0003698', 'visual_loss': '2.966', 'seg_loss': '0.8573', 'dino_loss': '0.9407', 'depth_loss': '0.3485', 'vggt_mse_loss': '0.3458', 'vggt_cos_loss': '0.02732', 'pidinet_loss': '0.2631', 'siglip_loss': '0.5566', 'epoch': '0.1558'} + 48%|██████████████▍ | 4331/9000 [1:54:01<5:13:45, 4.03s/it][Dataset] cur_step=4332 phase=B_anchor_generation +[Dataset] cur_step=4332 phase=B_anchor_generation +[Dataset] cur_step=4332 phase=B_anchor_generation[Dataset] cur_step=4332 phase=B_anchor_generation + +[Dataset] cur_step=4332 phase=B_anchor_generation +[Dataset] cur_step=4332 phase=B_anchor_generation +[Dataset] cur_step=4332 phase=B_anchor_generation + 48%|██████████████▍ | 4332/9000 [1:54:02<5:17:21, 4.08s/it][Dataset] cur_step=4332 phase=B_anchor_generation + {'loss': '2.764', 'grad_norm': '4.319', 'learning_rate': '2.86e-05', 'epoch': '0.1558'} + 48%|██████████████▍ | 4332/9000 [1:54:02<5:17:21, 4.08s/it] {'lm_loss': '0.0002177', 'visual_loss': '2.625', 'seg_loss': '0.7349', 'dino_loss': '0.9252', 'depth_loss': '0.3212', 'vggt_mse_loss': '0.3197', 'vggt_cos_loss': '0.01413', 'pidinet_loss': '0.2258', 'siglip_loss': '0.4177', 'epoch': '0.1558'} + 48%|██████████████▍ | 4332/9000 [1:54:06<5:17:21, 4.08s/it][Dataset] cur_step=4333 phase=B_anchor_generation[Dataset] cur_step=4333 phase=B_anchor_generation + +[Dataset] cur_step=4333 phase=B_anchor_generation[Dataset] cur_step=4333 phase=B_anchor_generation + +[Dataset] cur_step=4333 phase=B_anchor_generation +[Dataset] cur_step=4333 phase=B_anchor_generation + 48%|██████████████▍ | 4333/9000 [1:54:06<5:13:59, 4.04s/it][Dataset] cur_step=4333 phase=B_anchor_generation +[Dataset] cur_step=4333 phase=B_anchor_generation + {'loss': '2.743', 'grad_norm': '1.597', 'learning_rate': '2.859e-05', 'epoch': '0.1559'} + 48%|██████████████▍ | 4333/9000 [1:54:06<5:13:59, 4.04s/it] {'lm_loss': '0.001333', 'visual_loss': '2.634', 'seg_loss': '0.7334', 'dino_loss': '0.8801', 'depth_loss': '0.3467', 'vggt_mse_loss': '0.3448', 'vggt_cos_loss': '0.0187', 'pidinet_loss': '0.1837', 'siglip_loss': '0.4897', 'epoch': '0.1559'} + 48%|██████████████▍ | 4333/9000 [1:54:09<5:13:59, 4.04s/it][Dataset] cur_step=4334 phase=B_anchor_generation +[Dataset] cur_step=4334 phase=B_anchor_generation[Dataset] cur_step=4334 phase=B_anchor_generation + +[Dataset] cur_step=4334 phase=B_anchor_generation +[Dataset] cur_step=4334 phase=B_anchor_generation +[Dataset] cur_step=4334 phase=B_anchor_generation +[Dataset] cur_step=4334 phase=B_anchor_generation + 48%|██████████████▍ | 4334/9000 [1:54:11<5:26:23, 4.20s/it][Dataset] cur_step=4334 phase=B_anchor_generation + {'loss': '2.796', 'grad_norm': '1.59', 'learning_rate': '2.858e-05', 'epoch': '0.1559'} + 48%|██████████████▍ | 4334/9000 [1:54:11<5:26:23, 4.20s/it] {'lm_loss': '0.000113', 'visual_loss': '2.765', 'seg_loss': '0.7466', 'dino_loss': '0.9252', 'depth_loss': '0.2148', 'vggt_mse_loss': '0.2135', 'vggt_cos_loss': '0.01349', 'pidinet_loss': '0.2219', 'siglip_loss': '0.6568', 'epoch': '0.1559'} + 48%|██████████████▍ | 4334/9000 [1:54:20<5:26:23, 4.20s/it][Dataset] cur_step=4335 phase=B_anchor_generation +[Dataset] cur_step=4335 phase=B_anchor_generation 48%|██████████████▍ | 4335/9000 [1:54:21<7:57:00, 6.14s/it] +[Dataset] cur_step=4335 phase=B_anchor_generation +[Dataset] cur_step=4335 phase=B_anchor_generation[Dataset] cur_step=4335 phase=B_anchor_generation + +[Dataset] cur_step=4335 phase=B_anchor_generation +[Dataset] cur_step=4335 phase=B_anchor_generation +[Dataset] cur_step=4335 phase=B_anchor_generation + {'loss': '2.788', 'grad_norm': '1.581', 'learning_rate': '2.857e-05', 'epoch': '0.156'} + 48%|██████████████▍ | 4335/9000 [1:54:21<7:57:00, 6.14s/it] {'lm_loss': '0.0001458', 'visual_loss': '2.834', 'seg_loss': '0.6999', 'dino_loss': '0.9256', 'depth_loss': '0.2042', 'vggt_mse_loss': '0.2029', 'vggt_cos_loss': '0.01236', 'pidinet_loss': '0.2286', 'siglip_loss': '0.7754', 'epoch': '0.156'} + 48%|██████████████▍ | 4335/9000 [1:54:28<7:57:00, 6.14s/it][Dataset] cur_step=4336 phase=B_anchor_generation +[Dataset] cur_step=4336 phase=B_anchor_generation +[Dataset] cur_step=4336 phase=B_anchor_generation +[Dataset] cur_step=4336 phase=B_anchor_generation +[Dataset] cur_step=4336 phase=B_anchor_generation +[Dataset] cur_step=4336 phase=B_anchor_generation +[Dataset] cur_step=4336 phase=B_anchor_generation + 48%|█████████████▉ | 4336/9000 [1:54:37<11:33:30, 8.92s/it][Dataset] cur_step=4336 phase=B_anchor_generation + {'loss': '2.665', 'grad_norm': '1.421', 'learning_rate': '2.856e-05', 'epoch': '0.156'} + 48%|█████████████▉ | 4336/9000 [1:54:37<11:33:30, 8.92s/it] {'lm_loss': '0.0001946', 'visual_loss': '2.955', 'seg_loss': '0.8044', 'dino_loss': '0.9125', 'depth_loss': '0.2881', 'vggt_mse_loss': '0.2861', 'vggt_cos_loss': '0.01966', 'pidinet_loss': '0.2457', 'siglip_loss': '0.7044', 'epoch': '0.156'} + 48%|█████████████▉ | 4336/9000 [1:54:48<11:33:30, 8.92s/it][Dataset] cur_step=4337 phase=B_anchor_generation +[Dataset] cur_step=4337 phase=B_anchor_generation +[Dataset] cur_step=4337 phase=B_anchor_generation +[Dataset] cur_step=4337 phase=B_anchor_generation +[Dataset] cur_step=4337 phase=B_anchor_generation +[Dataset] cur_step=4337 phase=B_anchor_generation +[Dataset] cur_step=4337 phase=B_anchor_generation +[Dataset] cur_step=4337 phase=B_anchor_generation + 48%|█████████████▉ | 4337/9000 [1:54:51<13:47:16, 10.64s/it] {'loss': '2.749', 'grad_norm': '1.486', 'learning_rate': '2.855e-05', 'epoch': '0.156'} + 48%|█████████████▉ | 4337/9000 [1:54:51<13:47:16, 10.64s/it] {'lm_loss': '0.0002994', 'visual_loss': '2.983', 'seg_loss': '0.7793', 'dino_loss': '0.8859', 'depth_loss': '0.2426', 'vggt_mse_loss': '0.241', 'vggt_cos_loss': '0.01534', 'pidinet_loss': '0.2574', 'siglip_loss': '0.8179', 'epoch': '0.156'} + 48%|█████████████▉ | 4337/9000 [1:55:00<13:47:16, 10.64s/it][Dataset] cur_step=4338 phase=B_anchor_generation +[Dataset] cur_step=4338 phase=B_anchor_generation +[Dataset] cur_step=4338 phase=B_anchor_generation +[Dataset] cur_step=4338 phase=B_anchor_generation[Dataset] cur_step=4338 phase=B_anchor_generation + +[Dataset] cur_step=4338 phase=B_anchor_generation +[Dataset] cur_step=4338 phase=B_anchor_generation +[Dataset] cur_step=4338 phase=B_anchor_generation + 48%|█████████████▉ | 4338/9000 [1:55:07<15:51:00, 12.24s/it] {'loss': '2.722', 'grad_norm': '1.862', 'learning_rate': '2.854e-05', 'epoch': '0.1561'} + 48%|█████████████▉ | 4338/9000 [1:55:07<15:51:00, 12.24s/it] {'lm_loss': '0.0002307', 'visual_loss': '2.934', 'seg_loss': '0.7052', 'dino_loss': '0.8956', 'depth_loss': '0.2313', 'vggt_mse_loss': '0.2294', 'vggt_cos_loss': '0.01863', 'pidinet_loss': '0.2736', 'siglip_loss': '0.8281', 'epoch': '0.1561'} + 48%|█████████████▉ | 4338/9000 [1:55:19<15:51:00, 12.24s/it][Dataset] cur_step=4339 phase=B_anchor_generation[Dataset] cur_step=4339 phase=B_anchor_generation + +[Dataset] cur_step=4339 phase=B_anchor_generation +[Dataset] cur_step=4339 phase=B_anchor_generation +[Dataset] cur_step=4339 phase=B_anchor_generation +[Dataset] cur_step=4339 phase=B_anchor_generation +[Dataset] cur_step=4339 phase=B_anchor_generation +[Dataset] cur_step=4339 phase=B_anchor_generation + 48%|█████████████▉ | 4339/9000 [1:55:22<16:51:04, 13.02s/it] {'loss': '2.747', 'grad_norm': '4.7', 'learning_rate': '2.853e-05', 'epoch': '0.1561'} + 48%|█████████████▉ | 4339/9000 [1:55:22<16:51:04, 13.02s/it] {'lm_loss': '0.0002873', 'visual_loss': '3.001', 'seg_loss': '0.7413', 'dino_loss': '0.9278', 'depth_loss': '0.5339', 'vggt_mse_loss': '0.5296', 'vggt_cos_loss': '0.04279', 'pidinet_loss': '0.2106', 'siglip_loss': '0.5876', 'epoch': '0.1561'} + 48%|█████████████▉ | 4339/9000 [1:55:35<16:51:04, 13.02s/it][Dataset] cur_step=4340 phase=B_anchor_generation +[Dataset] cur_step=4340 phase=B_anchor_generation +[Dataset] cur_step=4340 phase=B_anchor_generation[Dataset] cur_step=4340 phase=B_anchor_generation + +[Dataset] cur_step=4340 phase=B_anchor_generation +[Dataset] cur_step=4340 phase=B_anchor_generation +[Dataset] cur_step=4340 phase=B_anchor_generation +[Dataset] cur_step=4340 phase=B_anchor_generation + 48%|█████████████▉ | 4340/9000 [1:55:37<17:40:20, 13.65s/it] {'loss': '2.703', 'grad_norm': '2.096', 'learning_rate': '2.852e-05', 'epoch': '0.1561'} + 48%|█████████████▉ | 4340/9000 [1:55:37<17:40:20, 13.65s/it] {'lm_loss': '0.0001025', 'visual_loss': '2.756', 'seg_loss': '0.7637', 'dino_loss': '0.947', 'depth_loss': '0.3218', 'vggt_mse_loss': '0.3205', 'vggt_cos_loss': '0.01329', 'pidinet_loss': '0.2377', 'siglip_loss': '0.486', 'epoch': '0.1561'} + 48%|█████████████▉ | 4340/9000 [1:55:56<17:40:20, 13.65s/it][Dataset] cur_step=4341 phase=B_anchor_generation +[Dataset] cur_step=4341 phase=B_anchor_generation[Dataset] cur_step=4341 phase=B_anchor_generation + +[Dataset] cur_step=4341 phase=B_anchor_generation +[Dataset] cur_step=4341 phase=B_anchor_generation +[Dataset] cur_step=4341 phase=B_anchor_generation +[Dataset] cur_step=4341 phase=B_anchor_generation + 48%|█████████████▉ | 4341/9000 [1:55:56<19:44:46, 15.26s/it][Dataset] cur_step=4341 phase=B_anchor_generation + {'loss': '2.863', 'grad_norm': '2.681', 'learning_rate': '2.852e-05', 'epoch': '0.1562'} + 48%|█████████████▉ | 4341/9000 [1:55:56<19:44:46, 15.26s/it] {'lm_loss': '0.0001628', 'visual_loss': '2.781', 'seg_loss': '0.7081', 'dino_loss': '0.9282', 'depth_loss': '0.4314', 'vggt_mse_loss': '0.4287', 'vggt_cos_loss': '0.02778', 'pidinet_loss': '0.2567', 'siglip_loss': '0.4567', 'epoch': '0.1562'} + 48%|█████████████▉ | 4341/9000 [1:56:10<19:44:46, 15.26s/it][Dataset] cur_step=4342 phase=B_anchor_generation +[Dataset] cur_step=4342 phase=B_anchor_generation +[Dataset] cur_step=4342 phase=B_anchor_generation + 48%|█████████████▉ | 4342/9000 [1:56:11<19:31:43, 15.09s/it][Dataset] cur_step=4342 phase=B_anchor_generation +[Dataset] cur_step=4342 phase=B_anchor_generation +[Dataset] cur_step=4342 phase=B_anchor_generation +[Dataset] cur_step=4342 phase=B_anchor_generation[Dataset] cur_step=4342 phase=B_anchor_generation + + {'loss': '2.759', 'grad_norm': '1.547', 'learning_rate': '2.851e-05', 'epoch': '0.1562'} + 48%|█████████████▉ | 4342/9000 [1:56:11<19:31:43, 15.09s/it] {'lm_loss': '0.0001653', 'visual_loss': '2.607', 'seg_loss': '0.7121', 'dino_loss': '0.9062', 'depth_loss': '0.329', 'vggt_mse_loss': '0.3269', 'vggt_cos_loss': '0.02106', 'pidinet_loss': '0.2059', 'siglip_loss': '0.4536', 'epoch': '0.1562'} + 48%|█████████████▉ | 4342/9000 [1:56:24<19:31:43, 15.09s/it][Dataset] cur_step=4343 phase=B_anchor_generation +[Dataset] cur_step=4343 phase=B_anchor_generation +[Dataset] cur_step=4343 phase=B_anchor_generation +[Dataset] cur_step=4343 phase=B_anchor_generation +[Dataset] cur_step=4343 phase=B_anchor_generation[Dataset] cur_step=4343 phase=B_anchor_generation + + 48%|█████████████▉ | 4343/9000 [1:56:26<19:32:53, 15.11s/it][Dataset] cur_step=4343 phase=B_anchor_generation +[Dataset] cur_step=4343 phase=B_anchor_generation + {'loss': '2.672', 'grad_norm': '1.517', 'learning_rate': '2.85e-05', 'epoch': '0.1562'} + 48%|█████████████▉ | 4343/9000 [1:56:26<19:32:53, 15.11s/it] {'lm_loss': '0.0001794', 'visual_loss': '2.872', 'seg_loss': '0.7761', 'dino_loss': '0.9233', 'depth_loss': '0.2336', 'vggt_mse_loss': '0.2317', 'vggt_cos_loss': '0.01945', 'pidinet_loss': '0.2738', 'siglip_loss': '0.6648', 'epoch': '0.1562'} + 48%|█████████████▉ | 4343/9000 [1:56:39<19:32:53, 15.11s/it][Dataset] cur_step=4344 phase=B_anchor_generation[Dataset] cur_step=4344 phase=B_anchor_generation + +[Dataset] cur_step=4344 phase=B_anchor_generation +[Dataset] cur_step=4344 phase=B_anchor_generation +[Dataset] cur_step=4344 phase=B_anchor_generation +[Dataset] cur_step=4344 phase=B_anchor_generation + 48%|█████████████▉ | 4344/9000 [1:56:46<21:18:05, 16.47s/it][Dataset] cur_step=4344 phase=B_anchor_generation +[Dataset] cur_step=4344 phase=B_anchor_generation + {'loss': '2.767', 'grad_norm': '2.299', 'learning_rate': '2.849e-05', 'epoch': '0.1563'} + 48%|█████████████▉ | 4344/9000 [1:56:46<21:18:05, 16.47s/it] {'lm_loss': '0.0001986', 'visual_loss': '2.887', 'seg_loss': '0.7482', 'dino_loss': '0.9409', 'depth_loss': '0.473', 'vggt_mse_loss': '0.4692', 'vggt_cos_loss': '0.03806', 'pidinet_loss': '0.2359', 'siglip_loss': '0.4889', 'epoch': '0.1563'} + 48%|█████████████▉ | 4344/9000 [1:56:56<21:18:05, 16.47s/it][Dataset] cur_step=4345 phase=B_anchor_generation +[Dataset] cur_step=4345 phase=B_anchor_generation +[Dataset] cur_step=4345 phase=B_anchor_generation +[Dataset] cur_step=4345 phase=B_anchor_generation + 48%|██████████████ | 4345/9000 [1:57:01<20:39:38, 15.98s/it][Dataset] cur_step=4345 phase=B_anchor_generation +[Dataset] cur_step=4345 phase=B_anchor_generation[Dataset] cur_step=4345 phase=B_anchor_generation + +[Dataset] cur_step=4345 phase=B_anchor_generation + {'loss': '2.846', 'grad_norm': '1.484', 'learning_rate': '2.848e-05', 'epoch': '0.1563'} + 48%|██████████████ | 4345/9000 [1:57:01<20:39:38, 15.98s/it] {'lm_loss': '0.0001802', 'visual_loss': '2.828', 'seg_loss': '0.6727', 'dino_loss': '0.9232', 'depth_loss': '0.3433', 'vggt_mse_loss': '0.3414', 'vggt_cos_loss': '0.01885', 'pidinet_loss': '0.284', 'siglip_loss': '0.6049', 'epoch': '0.1563'} + 48%|██████████████ | 4345/9000 [1:57:12<20:39:38, 15.98s/it][Dataset] cur_step=4346 phase=B_anchor_generation[Dataset] cur_step=4346 phase=B_anchor_generation + +[Dataset] cur_step=4346 phase=B_anchor_generation +[Dataset] cur_step=4346 phase=B_anchor_generation +[Dataset] cur_step=4346 phase=B_anchor_generation +[Dataset] cur_step=4346 phase=B_anchor_generation +[Dataset] cur_step=4346 phase=B_anchor_generation 48%|██████████████ | 4346/9000 [1:57:15<20:00:39, 15.48s/it] +[Dataset] cur_step=4346 phase=B_anchor_generation + {'loss': '2.87', 'grad_norm': '1.422', 'learning_rate': '2.847e-05', 'epoch': '0.1563'} + 48%|██████████████ | 4346/9000 [1:57:15<20:00:39, 15.48s/it] {'lm_loss': '0.0004322', 'visual_loss': '3.045', 'seg_loss': '0.7123', 'dino_loss': '0.9004', 'depth_loss': '0.2557', 'vggt_mse_loss': '0.2536', 'vggt_cos_loss': '0.02015', 'pidinet_loss': '0.276', 'siglip_loss': '0.9007', 'epoch': '0.1563'} + 48%|██████████████ | 4346/9000 [1:57:23<20:00:39, 15.48s/it][Dataset] cur_step=4347 phase=B_anchor_generation +[Dataset] cur_step=4347 phase=B_anchor_generation +[Dataset] cur_step=4347 phase=B_anchor_generation +[Dataset] cur_step=4347 phase=B_anchor_generation +[Dataset] cur_step=4347 phase=B_anchor_generation +[Dataset] cur_step=4347 phase=B_anchor_generation +[Dataset] cur_step=4347 phase=B_anchor_generation +[Dataset] cur_step=4347 phase=B_anchor_generation + 48%|██████████████ | 4347/9000 [1:57:31<20:22:16, 15.76s/it] {'loss': '2.795', 'grad_norm': '1.293', 'learning_rate': '2.846e-05', 'epoch': '0.1564'} + 48%|██████████████ | 4347/9000 [1:57:31<20:22:16, 15.76s/it] {'lm_loss': '0.000298', 'visual_loss': '2.581', 'seg_loss': '0.5911', 'dino_loss': '0.9312', 'depth_loss': '0.2509', 'vggt_mse_loss': '0.2486', 'vggt_cos_loss': '0.02281', 'pidinet_loss': '0.2083', 'siglip_loss': '0.5997', 'epoch': '0.1564'} + 48%|██████████████ | 4347/9000 [1:57:42<20:22:16, 15.76s/it][Dataset] cur_step=4348 phase=B_anchor_generation +[Dataset] cur_step=4348 phase=B_anchor_generation[Dataset] cur_step=4348 phase=B_anchor_generation +[Dataset] cur_step=4348 phase=B_anchor_generation + +[Dataset] cur_step=4348 phase=B_anchor_generation +[Dataset] cur_step=4348 phase=B_anchor_generation +[Dataset] cur_step=4348 phase=B_anchor_generation +[Dataset] cur_step=4348 phase=B_anchor_generation + 48%|██████████████ | 4348/9000 [1:57:45<19:22:26, 14.99s/it] {'loss': '2.764', 'grad_norm': '1.652', 'learning_rate': '2.845e-05', 'epoch': '0.1564'} + 48%|██████████████ | 4348/9000 [1:57:45<19:22:26, 14.99s/it] {'lm_loss': '0.0001581', 'visual_loss': '2.666', 'seg_loss': '0.76', 'dino_loss': '0.904', 'depth_loss': '0.2451', 'vggt_mse_loss': '0.2436', 'vggt_cos_loss': '0.0153', 'pidinet_loss': '0.2416', 'siglip_loss': '0.5156', 'epoch': '0.1564'} + 48%|██████████████ | 4348/9000 [1:57:55<19:22:26, 14.99s/it][Dataset] cur_step=4349 phase=B_anchor_generation +[Dataset] cur_step=4349 phase=B_anchor_generation +[Dataset] cur_step=4349 phase=B_anchor_generation[Dataset] cur_step=4349 phase=B_anchor_generation + +[Dataset] cur_step=4349 phase=B_anchor_generation +[Dataset] cur_step=4349 phase=B_anchor_generation +[Dataset] cur_step=4349 phase=B_anchor_generation +[Dataset] cur_step=4349 phase=B_anchor_generation + 48%|██████████████ | 4349/9000 [1:57:58<18:46:25, 14.53s/it] {'loss': '2.675', 'grad_norm': '1.026', 'learning_rate': '2.844e-05', 'epoch': '0.1565'} + 48%|██████████████ | 4349/9000 [1:57:58<18:46:25, 14.53s/it] {'lm_loss': '0.0002829', 'visual_loss': '2.865', 'seg_loss': '0.6904', 'dino_loss': '0.9155', 'depth_loss': '0.2507', 'vggt_mse_loss': '0.2492', 'vggt_cos_loss': '0.01495', 'pidinet_loss': '0.2996', 'siglip_loss': '0.7092', 'epoch': '0.1565'} + 48%|██████████████ | 4349/9000 [1:58:09<18:46:25, 14.53s/it][Dataset] cur_step=4350 phase=B_anchor_generation[Dataset] cur_step=4350 phase=B_anchor_generation + +[Dataset] cur_step=4350 phase=B_anchor_generation +[Dataset] cur_step=4350 phase=B_anchor_generation +[Dataset] cur_step=4350 phase=B_anchor_generation +[Dataset] cur_step=4350 phase=B_anchor_generation +[Dataset] cur_step=4350 phase=B_anchor_generation[Dataset] cur_step=4350 phase=B_anchor_generation + + 48%|██████████████ | 4350/9000 [1:58:14<19:24:02, 15.02s/it] {'loss': '2.807', 'grad_norm': '3.425', 'learning_rate': '2.843e-05', 'epoch': '0.1565'} + 48%|██████████████ | 4350/9000 [1:58:14<19:24:02, 15.02s/it] {'lm_loss': '0.0001827', 'visual_loss': '2.716', 'seg_loss': '0.6348', 'dino_loss': '0.8947', 'depth_loss': '0.297', 'vggt_mse_loss': '0.2956', 'vggt_cos_loss': '0.01374', 'pidinet_loss': '0.2158', 'siglip_loss': '0.6736', 'epoch': '0.1565'} + 48%|██████████████ | 4350/9000 [1:58:28<19:24:02, 15.02s/it][Dataset] cur_step=4351 phase=B_anchor_generation +[Dataset] cur_step=4351 phase=B_anchor_generation +[Dataset] cur_step=4351 phase=B_anchor_generation +[Dataset] cur_step=4351 phase=B_anchor_generation +[Dataset] cur_step=4351 phase=B_anchor_generation +[Dataset] cur_step=4351 phase=B_anchor_generation +[Dataset] cur_step=4351 phase=B_anchor_generation + 48%|██████████████ | 4351/9000 [1:58:30<19:41:00, 15.24s/it][Dataset] cur_step=4351 phase=B_anchor_generation + {'loss': '2.684', 'grad_norm': '1.574', 'learning_rate': '2.842e-05', 'epoch': '0.1565'} + 48%|██████████████ | 4351/9000 [1:58:30<19:41:00, 15.24s/it] {'lm_loss': '0.0002473', 'visual_loss': '2.932', 'seg_loss': '0.8191', 'dino_loss': '0.9073', 'depth_loss': '0.2953', 'vggt_mse_loss': '0.2935', 'vggt_cos_loss': '0.01799', 'pidinet_loss': '0.1873', 'siglip_loss': '0.7232', 'epoch': '0.1565'} + 48%|██████████████ | 4351/9000 [1:58:38<19:41:00, 15.24s/it][Dataset] cur_step=4352 phase=B_anchor_generation +[Dataset] cur_step=4352 phase=B_anchor_generation[Dataset] cur_step=4352 phase=B_anchor_generation + +[Dataset] cur_step=4352 phase=B_anchor_generation +[Dataset] cur_step=4352 phase=B_anchor_generation[Dataset] cur_step=4352 phase=B_anchor_generation + +[Dataset] cur_step=4352 phase=B_anchor_generation + 48%|██████████████ | 4352/9000 [1:58:45<19:26:54, 15.06s/it][Dataset] cur_step=4352 phase=B_anchor_generation + {'loss': '2.76', 'grad_norm': '1.872', 'learning_rate': '2.842e-05', 'epoch': '0.1566'} + 48%|██████████████ | 4352/9000 [1:58:45<19:26:54, 15.06s/it] {'lm_loss': '0.0002269', 'visual_loss': '2.522', 'seg_loss': '0.7496', 'dino_loss': '0.9037', 'depth_loss': '0.2837', 'vggt_mse_loss': '0.282', 'vggt_cos_loss': '0.01682', 'pidinet_loss': '0.2213', 'siglip_loss': '0.3638', 'epoch': '0.1566'} + 48%|██████████████ | 4352/9000 [1:58:57<19:26:54, 15.06s/it][Dataset] cur_step=4353 phase=B_anchor_generation +[Dataset] cur_step=4353 phase=B_anchor_generation +[Dataset] cur_step=4353 phase=B_anchor_generation[Dataset] cur_step=4353 phase=B_anchor_generation + +[Dataset] cur_step=4353 phase=B_anchor_generation +[Dataset] cur_step=4353 phase=B_anchor_generation + 48%|██████████████ | 4353/9000 [1:59:00<19:41:07, 15.25s/it][Dataset] cur_step=4353 phase=B_anchor_generation +[Dataset] cur_step=4353 phase=B_anchor_generation + {'loss': '2.721', 'grad_norm': '1.208', 'learning_rate': '2.841e-05', 'epoch': '0.1566'} + 48%|██████████████ | 4353/9000 [1:59:00<19:41:07, 15.25s/it] {'lm_loss': '0.0002332', 'visual_loss': '2.478', 'seg_loss': '0.6823', 'dino_loss': '0.9149', 'depth_loss': '0.2472', 'vggt_mse_loss': '0.246', 'vggt_cos_loss': '0.01133', 'pidinet_loss': '0.1708', 'siglip_loss': '0.4631', 'epoch': '0.1566'} + 48%|██████████████ | 4353/9000 [1:59:14<19:41:07, 15.25s/it][Dataset] cur_step=4354 phase=B_anchor_generation +[Dataset] cur_step=4354 phase=B_anchor_generation +[Dataset] cur_step=4354 phase=B_anchor_generation +[Dataset] cur_step=4354 phase=B_anchor_generation +[Dataset] cur_step=4354 phase=B_anchor_generation +[Dataset] cur_step=4354 phase=B_anchor_generation +[Dataset] cur_step=4354 phase=B_anchor_generation +[Dataset] cur_step=4354 phase=B_anchor_generation + 48%|██████████████ | 4354/9000 [1:59:15<19:29:29, 15.10s/it] {'loss': '2.778', 'grad_norm': '2.813', 'learning_rate': '2.84e-05', 'epoch': '0.1566'} + 48%|██████████████ | 4354/9000 [1:59:15<19:29:29, 15.10s/it] {'lm_loss': '0.0001806', 'visual_loss': '2.842', 'seg_loss': '0.7889', 'dino_loss': '0.9397', 'depth_loss': '0.2722', 'vggt_mse_loss': '0.2706', 'vggt_cos_loss': '0.01582', 'pidinet_loss': '0.2092', 'siglip_loss': '0.6323', 'epoch': '0.1566'} + 48%|██████████████ | 4354/9000 [1:59:29<19:29:29, 15.10s/it][Dataset] cur_step=4355 phase=B_anchor_generation +[Dataset] cur_step=4355 phase=B_anchor_generation +[Dataset] cur_step=4355 phase=B_anchor_generation +[Dataset] cur_step=4355 phase=B_anchor_generation +[Dataset] cur_step=4355 phase=B_anchor_generation +[Dataset] cur_step=4355 phase=B_anchor_generation + 48%|██████████████ | 4355/9000 [1:59:32<20:12:17, 15.66s/it][Dataset] cur_step=4355 phase=B_anchor_generation +[Dataset] cur_step=4355 phase=B_anchor_generation + {'loss': '2.77', 'grad_norm': '2.135', 'learning_rate': '2.839e-05', 'epoch': '0.1567'} + 48%|██████████████ | 4355/9000 [1:59:32<20:12:17, 15.66s/it] {'lm_loss': '0.0001862', 'visual_loss': '2.597', 'seg_loss': '0.7012', 'dino_loss': '0.9062', 'depth_loss': '0.252', 'vggt_mse_loss': '0.2506', 'vggt_cos_loss': '0.01399', 'pidinet_loss': '0.1747', 'siglip_loss': '0.5624', 'epoch': '0.1567'} + 48%|██████████████ | 4355/9000 [1:59:46<20:12:17, 15.66s/it][Dataset] cur_step=4356 phase=B_anchor_generation +[Dataset] cur_step=4356 phase=B_anchor_generation + 48%|██████████████ | 4356/9000 [1:59:47<19:52:18, 15.40s/it][Dataset] cur_step=4356 phase=B_anchor_generation +[Dataset] cur_step=4356 phase=B_anchor_generation +[Dataset] cur_step=4356 phase=B_anchor_generation +[Dataset] cur_step=4356 phase=B_anchor_generation +[Dataset] cur_step=4356 phase=B_anchor_generation +[Dataset] cur_step=4356 phase=B_anchor_generation + {'loss': '2.716', 'grad_norm': '1.567', 'learning_rate': '2.838e-05', 'epoch': '0.1567'} + 48%|██████████████ | 4356/9000 [1:59:47<19:52:18, 15.40s/it] {'lm_loss': '0.0001202', 'visual_loss': '2.842', 'seg_loss': '0.8142', 'dino_loss': '0.92', 'depth_loss': '0.2744', 'vggt_mse_loss': '0.2725', 'vggt_cos_loss': '0.01895', 'pidinet_loss': '0.2066', 'siglip_loss': '0.6263', 'epoch': '0.1567'} + 48%|██████████████ | 4356/9000 [1:59:56<19:52:18, 15.40s/it][Dataset] cur_step=4357 phase=B_anchor_generation +[Dataset] cur_step=4357 phase=B_anchor_generation +[Dataset] cur_step=4357 phase=B_anchor_generation +[Dataset] cur_step=4357 phase=B_anchor_generation +[Dataset] cur_step=4357 phase=B_anchor_generation +[Dataset] cur_step=4357 phase=B_anchor_generation[Dataset] cur_step=4357 phase=B_anchor_generation + + 48%|██████████████ | 4357/9000 [2:00:01<19:35:00, 15.18s/it][Dataset] cur_step=4357 phase=B_anchor_generation + {'loss': '2.78', 'grad_norm': '1.209', 'learning_rate': '2.837e-05', 'epoch': '0.1567'} + 48%|██████████████ | 4357/9000 [2:00:01<19:35:00, 15.18s/it] {'lm_loss': '0.0002734', 'visual_loss': '3.054', 'seg_loss': '0.7919', 'dino_loss': '0.9175', 'depth_loss': '0.2612', 'vggt_mse_loss': '0.2594', 'vggt_cos_loss': '0.01832', 'pidinet_loss': '0.1931', 'siglip_loss': '0.8903', 'epoch': '0.1567'} + 48%|██████████████ | 4357/9000 [2:00:10<19:35:00, 15.18s/it][Dataset] cur_step=4358 phase=B_anchor_generation +[Dataset] cur_step=4358 phase=B_anchor_generation + 48%|██████████████ | 4358/9000 [2:00:14<18:45:03, 14.54s/it][Dataset] cur_step=4358 phase=B_anchor_generation +[Dataset] cur_step=4358 phase=B_anchor_generation +[Dataset] cur_step=4358 phase=B_anchor_generation +[Dataset] cur_step=4358 phase=B_anchor_generation +[Dataset] cur_step=4358 phase=B_anchor_generation +[Dataset] cur_step=4358 phase=B_anchor_generation + {'loss': '2.76', 'grad_norm': '1.462', 'learning_rate': '2.836e-05', 'epoch': '0.1568'} + 48%|██████████████ | 4358/9000 [2:00:14<18:45:03, 14.54s/it] {'lm_loss': '0.0007076', 'visual_loss': '2.742', 'seg_loss': '0.4799', 'dino_loss': '0.9008', 'depth_loss': '0.3353', 'vggt_mse_loss': '0.3326', 'vggt_cos_loss': '0.02713', 'pidinet_loss': '0.2871', 'siglip_loss': '0.7386', 'epoch': '0.1568'} + 48%|██████████████ | 4358/9000 [2:00:26<18:45:03, 14.54s/it][Dataset] cur_step=4359 phase=B_anchor_generation +[Dataset] cur_step=4359 phase=B_anchor_generation +[Dataset] cur_step=4359 phase=B_anchor_generation +[Dataset] cur_step=4359 phase=B_anchor_generation +[Dataset] cur_step=4359 phase=B_anchor_generation +[Dataset] cur_step=4359 phase=B_anchor_generation +[Dataset] cur_step=4359 phase=B_anchor_generation + 48%|██████████████ | 4359/9000 [2:00:32<19:50:03, 15.39s/it][Dataset] cur_step=4359 phase=B_anchor_generation + {'loss': '2.845', 'grad_norm': '1.579', 'learning_rate': '2.835e-05', 'epoch': '0.1568'} + 48%|██████████████ | 4359/9000 [2:00:32<19:50:03, 15.39s/it] {'lm_loss': '0.0004159', 'visual_loss': '2.705', 'seg_loss': '0.667', 'dino_loss': '0.9102', 'depth_loss': '0.2845', 'vggt_mse_loss': '0.2823', 'vggt_cos_loss': '0.02239', 'pidinet_loss': '0.2962', 'siglip_loss': '0.5471', 'epoch': '0.1568'} + 48%|██████████████ | 4359/9000 [2:00:44<19:50:03, 15.39s/it][Dataset] cur_step=4360 phase=B_anchor_generation +[Dataset] cur_step=4360 phase=B_anchor_generation +[Dataset] cur_step=4360 phase=B_anchor_generation + 48%|██████████████ | 4360/9000 [2:00:48<20:14:59, 15.71s/it][Dataset] cur_step=4360 phase=B_anchor_generation +[Dataset] cur_step=4360 phase=B_anchor_generation[Dataset] cur_step=4360 phase=B_anchor_generation +[Dataset] cur_step=4360 phase=B_anchor_generation + +[Dataset] cur_step=4360 phase=B_anchor_generation + {'loss': '2.61', 'grad_norm': '1.112', 'learning_rate': '2.834e-05', 'epoch': '0.1569'} + 48%|██████████████ | 4360/9000 [2:00:48<20:14:59, 15.71s/it] {'lm_loss': '0.0002916', 'visual_loss': '2.825', 'seg_loss': '0.7553', 'dino_loss': '0.9094', 'depth_loss': '0.2925', 'vggt_mse_loss': '0.2904', 'vggt_cos_loss': '0.02125', 'pidinet_loss': '0.2382', 'siglip_loss': '0.6295', 'epoch': '0.1569'} + 48%|██████████████ | 4360/9000 [2:01:01<20:14:59, 15.71s/it][Dataset] cur_step=4361 phase=B_anchor_generation +[Dataset] cur_step=4361 phase=B_anchor_generation +[Dataset] cur_step=4361 phase=B_anchor_generation +[Dataset] cur_step=4361 phase=B_anchor_generation[Dataset] cur_step=4361 phase=B_anchor_generation + +[Dataset] cur_step=4361 phase=B_anchor_generation +[Dataset] cur_step=4361 phase=B_anchor_generation +[Dataset] cur_step=4361 phase=B_anchor_generation + 48%|██████████████ | 4361/9000 [2:01:03<19:40:56, 15.27s/it] {'loss': '2.756', 'grad_norm': '1.254', 'learning_rate': '2.833e-05', 'epoch': '0.1569'} + 48%|██████████████ | 4361/9000 [2:01:03<19:40:56, 15.27s/it] {'lm_loss': '0.0001877', 'visual_loss': '2.693', 'seg_loss': '0.7424', 'dino_loss': '0.8985', 'depth_loss': '0.2644', 'vggt_mse_loss': '0.2626', 'vggt_cos_loss': '0.0186', 'pidinet_loss': '0.2729', 'siglip_loss': '0.5147', 'epoch': '0.1569'} + 48%|██████████████ | 4361/9000 [2:01:13<19:40:56, 15.27s/it][Dataset] cur_step=4362 phase=B_anchor_generation +[Dataset] cur_step=4362 phase=B_anchor_generation +[Dataset] cur_step=4362 phase=B_anchor_generation +[Dataset] cur_step=4362 phase=B_anchor_generation +[Dataset] cur_step=4362 phase=B_anchor_generation +[Dataset] cur_step=4362 phase=B_anchor_generation +[Dataset] cur_step=4362 phase=B_anchor_generation +[Dataset] cur_step=4362 phase=B_anchor_generation + 48%|██████████████ | 4362/9000 [2:01:22<21:11:03, 16.44s/it] {'loss': '2.595', 'grad_norm': '1.063', 'learning_rate': '2.832e-05', 'epoch': '0.1569'} + 48%|██████████████ | 4362/9000 [2:01:22<21:11:03, 16.44s/it] {'lm_loss': '0.0003125', 'visual_loss': '2.687', 'seg_loss': '0.7519', 'dino_loss': '0.9077', 'depth_loss': '0.2639', 'vggt_mse_loss': '0.2626', 'vggt_cos_loss': '0.01351', 'pidinet_loss': '0.2126', 'siglip_loss': '0.5507', 'epoch': '0.1569'} + 48%|██████████████ | 4362/9000 [2:01:37<21:11:03, 16.44s/it][Dataset] cur_step=4363 phase=B_anchor_generation[Dataset] cur_step=4363 phase=B_anchor_generation + +[Dataset] cur_step=4363 phase=B_anchor_generation +[Dataset] cur_step=4363 phase=B_anchor_generation +[Dataset] cur_step=4363 phase=B_anchor_generation +[Dataset] cur_step=4363 phase=B_anchor_generation +[Dataset] cur_step=4363 phase=B_anchor_generation +[Dataset] cur_step=4363 phase=B_anchor_generation + 48%|██████████████ | 4363/9000 [2:01:40<21:47:11, 16.91s/it] {'loss': '2.786', 'grad_norm': '1.494', 'learning_rate': '2.832e-05', 'epoch': '0.157'} + 48%|██████████████ | 4363/9000 [2:01:40<21:47:11, 16.91s/it] {'lm_loss': '0.0001844', 'visual_loss': '2.595', 'seg_loss': '0.7914', 'dino_loss': '0.8888', 'depth_loss': '0.2262', 'vggt_mse_loss': '0.2251', 'vggt_cos_loss': '0.01115', 'pidinet_loss': '0.1957', 'siglip_loss': '0.4931', 'epoch': '0.157'} + 48%|██████████████ | 4363/9000 [2:01:51<21:47:11, 16.91s/it][Dataset] cur_step=4364 phase=B_anchor_generation +[Dataset] cur_step=4364 phase=B_anchor_generation +[Dataset] cur_step=4364 phase=B_anchor_generation +[Dataset] cur_step=4364 phase=B_anchor_generation +[Dataset] cur_step=4364 phase=B_anchor_generation +[Dataset] cur_step=4364 phase=B_anchor_generation +[Dataset] cur_step=4364 phase=B_anchor_generation + 48%|██████████████ | 4364/9000 [2:01:54<20:51:59, 16.20s/it][Dataset] cur_step=4364 phase=B_anchor_generation + {'loss': '2.705', 'grad_norm': '1.416', 'learning_rate': '2.831e-05', 'epoch': '0.157'} + 48%|██████████████ | 4364/9000 [2:01:54<20:51:59, 16.20s/it] {'lm_loss': '0.0003144', 'visual_loss': '2.711', 'seg_loss': '0.6382', 'dino_loss': '0.9007', 'depth_loss': '0.3818', 'vggt_mse_loss': '0.3789', 'vggt_cos_loss': '0.02925', 'pidinet_loss': '0.1918', 'siglip_loss': '0.5984', 'epoch': '0.157'} + 48%|██████████████ | 4364/9000 [2:02:04<20:51:59, 16.20s/it][Dataset] cur_step=4365 phase=B_anchor_generation +[Dataset] cur_step=4365 phase=B_anchor_generation +[Dataset] cur_step=4365 phase=B_anchor_generation +[Dataset] cur_step=4365 phase=B_anchor_generation +[Dataset] cur_step=4365 phase=B_anchor_generation +[Dataset] cur_step=4365 phase=B_anchor_generation +[Dataset] cur_step=4365 phase=B_anchor_generation +[Dataset] cur_step=4365 phase=B_anchor_generation + 48%|██████████████ | 4365/9000 [2:02:09<20:23:32, 15.84s/it] {'loss': '2.768', 'grad_norm': '1.516', 'learning_rate': '2.83e-05', 'epoch': '0.157'} + 48%|██████████████ | 4365/9000 [2:02:09<20:23:32, 15.84s/it] {'lm_loss': '0.0002493', 'visual_loss': '2.703', 'seg_loss': '0.778', 'dino_loss': '0.8876', 'depth_loss': '0.2673', 'vggt_mse_loss': '0.2658', 'vggt_cos_loss': '0.0147', 'pidinet_loss': '0.2294', 'siglip_loss': '0.5408', 'epoch': '0.157'} + 48%|██████████████ | 4365/9000 [2:02:18<20:23:32, 15.84s/it][Dataset] cur_step=4366 phase=B_anchor_generation +[Dataset] cur_step=4366 phase=B_anchor_generation +[Dataset] cur_step=4366 phase=B_anchor_generation +[Dataset] cur_step=4366 phase=B_anchor_generation +[Dataset] cur_step=4366 phase=B_anchor_generation[Dataset] cur_step=4366 phase=B_anchor_generation + +[Dataset] cur_step=4366 phase=B_anchor_generation +[Dataset] cur_step=4366 phase=B_anchor_generation + 49%|██████████████ | 4366/9000 [2:02:23<19:42:14, 15.31s/it] {'loss': '2.818', 'grad_norm': '1.686', 'learning_rate': '2.829e-05', 'epoch': '0.1571'} + 49%|██████████████ | 4366/9000 [2:02:23<19:42:14, 15.31s/it] {'lm_loss': '0.0001507', 'visual_loss': '2.947', 'seg_loss': '0.8684', 'dino_loss': '0.9329', 'depth_loss': '0.3192', 'vggt_mse_loss': '0.3168', 'vggt_cos_loss': '0.0247', 'pidinet_loss': '0.2958', 'siglip_loss': '0.5308', 'epoch': '0.1571'} + 49%|██████████████ | 4366/9000 [2:02:31<19:42:14, 15.31s/it][Dataset] cur_step=4367 phase=B_anchor_generation +[Dataset] cur_step=4367 phase=B_anchor_generation +[Dataset] cur_step=4367 phase=B_anchor_generation +[Dataset] cur_step=4367 phase=B_anchor_generation +[Dataset] cur_step=4367 phase=B_anchor_generation +[Dataset] cur_step=4367 phase=B_anchor_generation +[Dataset] cur_step=4367 phase=B_anchor_generation + 49%|██████████████ | 4367/9000 [2:02:40<20:04:56, 15.60s/it][Dataset] cur_step=4367 phase=B_anchor_generation + {'loss': '2.821', 'grad_norm': '1.708', 'learning_rate': '2.828e-05', 'epoch': '0.1571'} + 49%|██████████████ | 4367/9000 [2:02:40<20:04:56, 15.60s/it] {'lm_loss': '0.0008665', 'visual_loss': '2.775', 'seg_loss': '0.6614', 'dino_loss': '0.9089', 'depth_loss': '0.2298', 'vggt_mse_loss': '0.2285', 'vggt_cos_loss': '0.01293', 'pidinet_loss': '0.251', 'siglip_loss': '0.7235', 'epoch': '0.1571'} + 49%|██████████████ | 4367/9000 [2:02:50<20:04:56, 15.60s/it][Dataset] cur_step=4368 phase=B_anchor_generation +[Dataset] cur_step=4368 phase=B_anchor_generation +[Dataset] cur_step=4368 phase=B_anchor_generation +[Dataset] cur_step=4368 phase=B_anchor_generation +[Dataset] cur_step=4368 phase=B_anchor_generation +[Dataset] cur_step=4368 phase=B_anchor_generation +[Dataset] cur_step=4368 phase=B_anchor_generation +[Dataset] cur_step=4368 phase=B_anchor_generation + 49%|██████████████ | 4368/9000 [2:02:56<20:26:54, 15.89s/it] {'loss': '2.895', 'grad_norm': '1.756', 'learning_rate': '2.827e-05', 'epoch': '0.1571'} + 49%|██████████████ | 4368/9000 [2:02:56<20:26:54, 15.89s/it] {'lm_loss': '0.0001587', 'visual_loss': '2.846', 'seg_loss': '0.7078', 'dino_loss': '0.9355', 'depth_loss': '0.2827', 'vggt_mse_loss': '0.2811', 'vggt_cos_loss': '0.01659', 'pidinet_loss': '0.2737', 'siglip_loss': '0.6468', 'epoch': '0.1571'} + 49%|██████████████ | 4368/9000 [2:03:12<20:26:54, 15.89s/it][Dataset] cur_step=4369 phase=B_anchor_generation +[Dataset] cur_step=4369 phase=B_anchor_generation + 49%|██████████████ | 4369/9000 [2:03:13<20:39:30, 16.06s/it][Dataset] cur_step=4369 phase=B_anchor_generation +[Dataset] cur_step=4369 phase=B_anchor_generation +[Dataset] cur_step=4369 phase=B_anchor_generation +[Dataset] cur_step=4369 phase=B_anchor_generation +[Dataset] cur_step=4369 phase=B_anchor_generation +[Dataset] cur_step=4369 phase=B_anchor_generation + {'loss': '2.877', 'grad_norm': '1.529', 'learning_rate': '2.826e-05', 'epoch': '0.1572'} + 49%|██████████████ | 4369/9000 [2:03:13<20:39:30, 16.06s/it] {'lm_loss': '0.0005523', 'visual_loss': '2.773', 'seg_loss': '0.7883', 'dino_loss': '0.9041', 'depth_loss': '0.1964', 'vggt_mse_loss': '0.195', 'vggt_cos_loss': '0.01425', 'pidinet_loss': '0.2098', 'siglip_loss': '0.6743', 'epoch': '0.1572'} + 49%|██████████████ | 4369/9000 [2:03:23<20:39:30, 16.06s/it][Dataset] cur_step=4370 phase=B_anchor_generation +[Dataset] cur_step=4370 phase=B_anchor_generation +[Dataset] cur_step=4370 phase=B_anchor_generation +[Dataset] cur_step=4370 phase=B_anchor_generation +[Dataset] cur_step=4370 phase=B_anchor_generation +[Dataset] cur_step=4370 phase=B_anchor_generation +[Dataset] cur_step=4370 phase=B_anchor_generation + 49%|██████████████ | 4370/9000 [2:03:26<19:45:46, 15.37s/it][Dataset] cur_step=4370 phase=B_anchor_generation + {'loss': '2.833', 'grad_norm': '1.94', 'learning_rate': '2.825e-05', 'epoch': '0.1572'} + 49%|██████████████ | 4370/9000 [2:03:26<19:45:46, 15.37s/it] {'lm_loss': '0.0005105', 'visual_loss': '3.157', 'seg_loss': '0.7496', 'dino_loss': '0.9165', 'depth_loss': '0.511', 'vggt_mse_loss': '0.5072', 'vggt_cos_loss': '0.03744', 'pidinet_loss': '0.2817', 'siglip_loss': '0.698', 'epoch': '0.1572'} + 49%|██████████████ | 4370/9000 [2:03:36<19:45:46, 15.37s/it][Dataset] cur_step=4371 phase=B_anchor_generation +[Dataset] cur_step=4371 phase=B_anchor_generation +[Dataset] cur_step=4371 phase=B_anchor_generation +[Dataset] cur_step=4371 phase=B_anchor_generation +[Dataset] cur_step=4371 phase=B_anchor_generation +[Dataset] cur_step=4371 phase=B_anchor_generation +[Dataset] cur_step=4371 phase=B_anchor_generation +[Dataset] cur_step=4371 phase=B_anchor_generation + 49%|██████████████ | 4371/9000 [2:03:41<19:19:56, 15.03s/it] {'loss': '2.835', 'grad_norm': '1.453', 'learning_rate': '2.824e-05', 'epoch': '0.1572'} + 49%|██████████████ | 4371/9000 [2:03:41<19:19:56, 15.03s/it] {'lm_loss': '0.0005668', 'visual_loss': '2.96', 'seg_loss': '0.8187', 'dino_loss': '0.8589', 'depth_loss': '0.2138', 'vggt_mse_loss': '0.2127', 'vggt_cos_loss': '0.01099', 'pidinet_loss': '0.2248', 'siglip_loss': '0.844', 'epoch': '0.1572'} + 49%|██████████████ | 4371/9000 [2:03:50<19:19:56, 15.03s/it][Dataset] cur_step=4372 phase=B_anchor_generation +[Dataset] cur_step=4372 phase=B_anchor_generation +[Dataset] cur_step=4372 phase=B_anchor_generation[Dataset] cur_step=4372 phase=B_anchor_generation + +[Dataset] cur_step=4372 phase=B_anchor_generation +[Dataset] cur_step=4372 phase=B_anchor_generation +[Dataset] cur_step=4372 phase=B_anchor_generation +[Dataset] cur_step=4372 phase=B_anchor_generation + 49%|██████████████ | 4372/9000 [2:03:56<19:38:14, 15.28s/it] {'loss': '2.862', 'grad_norm': '1.317', 'learning_rate': '2.823e-05', 'epoch': '0.1573'} + 49%|██████████████ | 4372/9000 [2:03:56<19:38:14, 15.28s/it] {'lm_loss': '0.0002047', 'visual_loss': '2.715', 'seg_loss': '0.6818', 'dino_loss': '0.8975', 'depth_loss': '0.2348', 'vggt_mse_loss': '0.2333', 'vggt_cos_loss': '0.01465', 'pidinet_loss': '0.2793', 'siglip_loss': '0.6214', 'epoch': '0.1573'} + 49%|██████████████ | 4372/9000 [2:04:09<19:38:14, 15.28s/it][Dataset] cur_step=4373 phase=B_anchor_generation +[Dataset] cur_step=4373 phase=B_anchor_generation +[Dataset] cur_step=4373 phase=B_anchor_generation 49%|██████████████ | 4373/9000 [2:04:09<18:44:26, 14.58s/it] +[Dataset] cur_step=4373 phase=B_anchor_generation +[Dataset] cur_step=4373 phase=B_anchor_generation +[Dataset] cur_step=4373 phase=B_anchor_generation[Dataset] cur_step=4373 phase=B_anchor_generation + +[Dataset] cur_step=4373 phase=B_anchor_generation + {'loss': '2.704', 'grad_norm': '3.33', 'learning_rate': '2.822e-05', 'epoch': '0.1573'} + 49%|██████████████ | 4373/9000 [2:04:09<18:44:26, 14.58s/it] {'lm_loss': '0.0001674', 'visual_loss': '2.536', 'seg_loss': '0.7177', 'dino_loss': '0.8915', 'depth_loss': '0.235', 'vggt_mse_loss': '0.2338', 'vggt_cos_loss': '0.01249', 'pidinet_loss': '0.2086', 'siglip_loss': '0.4832', 'epoch': '0.1573'} + 49%|██████████████ | 4373/9000 [2:04:20<18:44:26, 14.58s/it][Dataset] cur_step=4374 phase=B_anchor_generation +[Dataset] cur_step=4374 phase=B_anchor_generation +[Dataset] cur_step=4374 phase=B_anchor_generation +[Dataset] cur_step=4374 phase=B_anchor_generation +[Dataset] cur_step=4374 phase=B_anchor_generation +[Dataset] cur_step=4374 phase=B_anchor_generation[Dataset] cur_step=4374 phase=B_anchor_generation + +[Dataset] cur_step=4374 phase=B_anchor_generation + 49%|██████████████ | 4374/9000 [2:04:26<19:35:59, 15.25s/it] {'loss': '2.645', 'grad_norm': '2.031', 'learning_rate': '2.822e-05', 'epoch': '0.1574'} + 49%|██████████████ | 4374/9000 [2:04:26<19:35:59, 15.25s/it] {'lm_loss': '0.0004474', 'visual_loss': '2.81', 'seg_loss': '0.7347', 'dino_loss': '0.9367', 'depth_loss': '0.2733', 'vggt_mse_loss': '0.2715', 'vggt_cos_loss': '0.01702', 'pidinet_loss': '0.2456', 'siglip_loss': '0.6198', 'epoch': '0.1574'} + 49%|██████████████ | 4374/9000 [2:04:38<19:35:59, 15.25s/it][Dataset] cur_step=4375 phase=B_anchor_generation +[Dataset] cur_step=4375 phase=B_anchor_generation +[Dataset] cur_step=4375 phase=B_anchor_generation +[Dataset] cur_step=4375 phase=B_anchor_generation +[Dataset] cur_step=4375 phase=B_anchor_generation +[Dataset] cur_step=4375 phase=B_anchor_generation +[Dataset] cur_step=4375 phase=B_anchor_generation +[Dataset] cur_step=4375 phase=B_anchor_generation + 49%|██████████████ | 4375/9000 [2:04:40<18:53:50, 14.71s/it] {'loss': '2.839', 'grad_norm': '5.008', 'learning_rate': '2.821e-05', 'epoch': '0.1574'} + 49%|██████████████ | 4375/9000 [2:04:40<18:53:50, 14.71s/it] {'lm_loss': '0.0004758', 'visual_loss': '2.894', 'seg_loss': '0.7893', 'dino_loss': '0.9216', 'depth_loss': '0.3061', 'vggt_mse_loss': '0.3041', 'vggt_cos_loss': '0.02028', 'pidinet_loss': '0.2613', 'siglip_loss': '0.6154', 'epoch': '0.1574'} + 49%|██████████████ | 4375/9000 [2:04:48<18:53:50, 14.71s/it][Dataset] cur_step=4376 phase=B_anchor_generation +[Dataset] cur_step=4376 phase=B_anchor_generation +[Dataset] cur_step=4376 phase=B_anchor_generation +[Dataset] cur_step=4376 phase=B_anchor_generation[Dataset] cur_step=4376 phase=B_anchor_generation + +[Dataset] cur_step=4376 phase=B_anchor_generation +[Dataset] cur_step=4376 phase=B_anchor_generation +[Dataset] cur_step=4376 phase=B_anchor_generation + 49%|██████████████ | 4376/9000 [2:04:54<18:53:53, 14.71s/it] {'loss': '2.955', 'grad_norm': '2.269', 'learning_rate': '2.82e-05', 'epoch': '0.1574'} + 49%|██████████████ | 4376/9000 [2:04:54<18:53:53, 14.71s/it] {'lm_loss': '0.0003047', 'visual_loss': '2.707', 'seg_loss': '0.8037', 'dino_loss': '0.933', 'depth_loss': '0.2764', 'vggt_mse_loss': '0.2746', 'vggt_cos_loss': '0.01812', 'pidinet_loss': '0.2274', 'siglip_loss': '0.4662', 'epoch': '0.1574'} + 49%|██████████████ | 4376/9000 [2:05:07<18:53:53, 14.71s/it][Dataset] cur_step=4377 phase=B_anchor_generation[Dataset] cur_step=4377 phase=B_anchor_generation + +[Dataset] cur_step=4377 phase=B_anchor_generation +[Dataset] cur_step=4377 phase=B_anchor_generation[Dataset] cur_step=4377 phase=B_anchor_generation + +[Dataset] cur_step=4377 phase=B_anchor_generation + 49%|██████████████ | 4377/9000 [2:05:08<18:20:47, 14.29s/it][Dataset] cur_step=4377 phase=B_anchor_generation +[Dataset] cur_step=4377 phase=B_anchor_generation + {'loss': '2.745', 'grad_norm': '1.522', 'learning_rate': '2.819e-05', 'epoch': '0.1575'} + 49%|██████████████ | 4377/9000 [2:05:08<18:20:47, 14.29s/it] {'lm_loss': '0.0002534', 'visual_loss': '2.601', 'seg_loss': '0.5887', 'dino_loss': '0.926', 'depth_loss': '0.2527', 'vggt_mse_loss': '0.2508', 'vggt_cos_loss': '0.01929', 'pidinet_loss': '0.255', 'siglip_loss': '0.5783', 'epoch': '0.1575'} + 49%|██████████████ | 4377/9000 [2:05:21<18:20:47, 14.29s/it][Dataset] cur_step=4378 phase=B_anchor_generation +[Dataset] cur_step=4378 phase=B_anchor_generation +[Dataset] cur_step=4378 phase=B_anchor_generation +[Dataset] cur_step=4378 phase=B_anchor_generation +[Dataset] cur_step=4378 phase=B_anchor_generation[Dataset] cur_step=4378 phase=B_anchor_generation + + 49%|██████████████ | 4378/9000 [2:05:22<18:11:33, 14.17s/it][Dataset] cur_step=4378 phase=B_anchor_generation +[Dataset] cur_step=4378 phase=B_anchor_generation + {'loss': '2.824', 'grad_norm': '1.465', 'learning_rate': '2.818e-05', 'epoch': '0.1575'} + 49%|██████████████ | 4378/9000 [2:05:22<18:11:33, 14.17s/it] {'lm_loss': '0.0001178', 'visual_loss': '2.598', 'seg_loss': '0.7307', 'dino_loss': '0.8867', 'depth_loss': '0.3951', 'vggt_mse_loss': '0.3928', 'vggt_cos_loss': '0.02297', 'pidinet_loss': '0.2082', 'siglip_loss': '0.3774', 'epoch': '0.1575'} + 49%|██████████████ | 4378/9000 [2:05:32<18:11:33, 14.17s/it][Dataset] cur_step=4379 phase=B_anchor_generation +[Dataset] cur_step=4379 phase=B_anchor_generation +[Dataset] cur_step=4379 phase=B_anchor_generation +[Dataset] cur_step=4379 phase=B_anchor_generation +[Dataset] cur_step=4379 phase=B_anchor_generation +[Dataset] cur_step=4379 phase=B_anchor_generation +[Dataset] cur_step=4379 phase=B_anchor_generation +[Dataset] cur_step=4379 phase=B_anchor_generation + 49%|██████████████ | 4379/9000 [2:05:37<18:36:01, 14.49s/it] {'loss': '2.76', 'grad_norm': '2.298', 'learning_rate': '2.817e-05', 'epoch': '0.1575'} + 49%|██████████████ | 4379/9000 [2:05:37<18:36:01, 14.49s/it] {'lm_loss': '0.000158', 'visual_loss': '2.836', 'seg_loss': '0.6854', 'dino_loss': '0.927', 'depth_loss': '0.2433', 'vggt_mse_loss': '0.2417', 'vggt_cos_loss': '0.01665', 'pidinet_loss': '0.2877', 'siglip_loss': '0.6921', 'epoch': '0.1575'} + 49%|██████████████ | 4379/9000 [2:05:52<18:36:01, 14.49s/it][Dataset] cur_step=4380 phase=B_anchor_generation +[Dataset] cur_step=4380 phase=B_anchor_generation +[Dataset] cur_step=4380 phase=B_anchor_generation[Dataset] cur_step=4380 phase=B_anchor_generation + +[Dataset] cur_step=4380 phase=B_anchor_generation +[Dataset] cur_step=4380 phase=B_anchor_generation[Dataset] cur_step=4380 phase=B_anchor_generation + + 49%|██████████████ | 4380/9000 [2:05:52<18:52:27, 14.71s/it][Dataset] cur_step=4380 phase=B_anchor_generation + {'loss': '2.752', 'grad_norm': '2.251', 'learning_rate': '2.816e-05', 'epoch': '0.1576'} + 49%|██████████████ | 4380/9000 [2:05:52<18:52:27, 14.71s/it] {'lm_loss': '0.005828', 'visual_loss': '3.031', 'seg_loss': '0.7633', 'dino_loss': '0.9086', 'depth_loss': '0.3571', 'vggt_mse_loss': '0.3542', 'vggt_cos_loss': '0.02966', 'pidinet_loss': '0.2727', 'siglip_loss': '0.7297', 'epoch': '0.1576'} + 49%|██████████████ | 4380/9000 [2:06:02<18:52:27, 14.71s/it][Dataset] cur_step=4381 phase=B_anchor_generation +[Dataset] cur_step=4381 phase=B_anchor_generation +[Dataset] cur_step=4381 phase=B_anchor_generation +[Dataset] cur_step=4381 phase=B_anchor_generation +[Dataset] cur_step=4381 phase=B_anchor_generation +[Dataset] cur_step=4381 phase=B_anchor_generation[Dataset] cur_step=4381 phase=B_anchor_generation + +[Dataset] cur_step=4381 phase=B_anchor_generation 49%|██████████████ | 4381/9000 [2:06:07<19:03:30, 14.85s/it] + {'loss': '2.754', 'grad_norm': '1.374', 'learning_rate': '2.815e-05', 'epoch': '0.1576'} + 49%|██████████████ | 4381/9000 [2:06:07<19:03:30, 14.85s/it] {'lm_loss': '0.0001917', 'visual_loss': '2.806', 'seg_loss': '0.8038', 'dino_loss': '0.9387', 'depth_loss': '0.2497', 'vggt_mse_loss': '0.248', 'vggt_cos_loss': '0.01748', 'pidinet_loss': '0.2327', 'siglip_loss': '0.5815', 'epoch': '0.1576'} + 49%|██████████████ | 4381/9000 [2:06:17<19:03:30, 14.85s/it][Dataset] cur_step=4382 phase=B_anchor_generation +[Dataset] cur_step=4382 phase=B_anchor_generation +[Dataset] cur_step=4382 phase=B_anchor_generation +[Dataset] cur_step=4382 phase=B_anchor_generation +[Dataset] cur_step=4382 phase=B_anchor_generation +[Dataset] cur_step=4382 phase=B_anchor_generation +[Dataset] cur_step=4382 phase=B_anchor_generation +[Dataset] cur_step=4382 phase=B_anchor_generation + 49%|██████████████ | 4382/9000 [2:06:20<18:15:43, 14.24s/it] {'loss': '2.737', 'grad_norm': '1.055', 'learning_rate': '2.814e-05', 'epoch': '0.1576'} + 49%|██████████████ | 4382/9000 [2:06:20<18:15:43, 14.24s/it] {'lm_loss': '0.0003229', 'visual_loss': '2.554', 'seg_loss': '0.6849', 'dino_loss': '0.893', 'depth_loss': '0.2377', 'vggt_mse_loss': '0.2364', 'vggt_cos_loss': '0.01306', 'pidinet_loss': '0.2015', 'siglip_loss': '0.5368', 'epoch': '0.1576'} + 49%|██████████████ | 4382/9000 [2:06:31<18:15:43, 14.24s/it][Dataset] cur_step=4383 phase=B_anchor_generation +[Dataset] cur_step=4383 phase=B_anchor_generation +[Dataset] cur_step=4383 phase=B_anchor_generation +[Dataset] cur_step=4383 phase=B_anchor_generation[Dataset] cur_step=4383 phase=B_anchor_generation + +[Dataset] cur_step=4383 phase=B_anchor_generation +[Dataset] cur_step=4383 phase=B_anchor_generation +[Dataset] cur_step=4383 phase=B_anchor_generation + 49%|██████████████ | 4383/9000 [2:06:33<17:40:29, 13.78s/it] {'loss': '2.736', 'grad_norm': '1.312', 'learning_rate': '2.813e-05', 'epoch': '0.1577'} + 49%|██████████████ | 4383/9000 [2:06:33<17:40:29, 13.78s/it] {'lm_loss': '0.0004567', 'visual_loss': '2.557', 'seg_loss': '0.7207', 'dino_loss': '0.8823', 'depth_loss': '0.2898', 'vggt_mse_loss': '0.2881', 'vggt_cos_loss': '0.01734', 'pidinet_loss': '0.2385', 'siglip_loss': '0.4253', 'epoch': '0.1577'} + 49%|██████████████ | 4383/9000 [2:06:42<17:40:29, 13.78s/it][Dataset] cur_step=4384 phase=B_anchor_generation +[Dataset] cur_step=4384 phase=B_anchor_generation +[Dataset] cur_step=4384 phase=B_anchor_generation +[Dataset] cur_step=4384 phase=B_anchor_generation +[Dataset] cur_step=4384 phase=B_anchor_generation +[Dataset] cur_step=4384 phase=B_anchor_generation + 49%|██████████████▏ | 4384/9000 [2:06:49<18:35:24, 14.50s/it][Dataset] cur_step=4384 phase=B_anchor_generation[Dataset] cur_step=4384 phase=B_anchor_generation + + {'loss': '2.766', 'grad_norm': '1.354', 'learning_rate': '2.812e-05', 'epoch': '0.1577'} + 49%|██████████████▏ | 4384/9000 [2:06:49<18:35:24, 14.50s/it] {'lm_loss': '0.000111', 'visual_loss': '2.82', 'seg_loss': '0.6863', 'dino_loss': '0.92', 'depth_loss': '0.3234', 'vggt_mse_loss': '0.3212', 'vggt_cos_loss': '0.02133', 'pidinet_loss': '0.2542', 'siglip_loss': '0.6365', 'epoch': '0.1577'} + 49%|██████████████▏ | 4384/9000 [2:07:02<18:35:24, 14.50s/it][Dataset] cur_step=4385 phase=B_anchor_generation +[Dataset] cur_step=4385 phase=B_anchor_generation[Dataset] cur_step=4385 phase=B_anchor_generation + +[Dataset] cur_step=4385 phase=B_anchor_generation +[Dataset] cur_step=4385 phase=B_anchor_generation +[Dataset] cur_step=4385 phase=B_anchor_generation +[Dataset] cur_step=4385 phase=B_anchor_generation +[Dataset] cur_step=4385 phase=B_anchor_generation + 49%|██████████████▏ | 4385/9000 [2:07:02<18:11:17, 14.19s/it] {'loss': '2.734', 'grad_norm': '1.451', 'learning_rate': '2.812e-05', 'epoch': '0.1578'} + 49%|██████████████▏ | 4385/9000 [2:07:02<18:11:17, 14.19s/it] {'lm_loss': '0.0001694', 'visual_loss': '2.979', 'seg_loss': '0.8283', 'dino_loss': '0.9552', 'depth_loss': '0.3352', 'vggt_mse_loss': '0.3331', 'vggt_cos_loss': '0.02077', 'pidinet_loss': '0.2228', 'siglip_loss': '0.6373', 'epoch': '0.1578'} + 49%|██████████████▏ | 4385/9000 [2:07:10<18:11:17, 14.19s/it][Dataset] cur_step=4386 phase=B_anchor_generation +[Dataset] cur_step=4386 phase=B_anchor_generation +[Dataset] cur_step=4386 phase=B_anchor_generation +[Dataset] cur_step=4386 phase=B_anchor_generation +[Dataset] cur_step=4386 phase=B_anchor_generation +[Dataset] cur_step=4386 phase=B_anchor_generation +[Dataset] cur_step=4386 phase=B_anchor_generation +[Dataset] cur_step=4386 phase=B_anchor_generation + 49%|██████████████▏ | 4386/9000 [2:07:17<18:23:19, 14.35s/it] {'loss': '2.665', 'grad_norm': '1.512', 'learning_rate': '2.811e-05', 'epoch': '0.1578'} + 49%|██████████████▏ | 4386/9000 [2:07:17<18:23:19, 14.35s/it] {'lm_loss': '0.0001126', 'visual_loss': '2.954', 'seg_loss': '0.8015', 'dino_loss': '0.9343', 'depth_loss': '0.2824', 'vggt_mse_loss': '0.2805', 'vggt_cos_loss': '0.0191', 'pidinet_loss': '0.2479', 'siglip_loss': '0.6873', 'epoch': '0.1578'} + 49%|██████████████▏ | 4386/9000 [2:07:28<18:23:19, 14.35s/it][Dataset] cur_step=4387 phase=B_anchor_generation +[Dataset] cur_step=4387 phase=B_anchor_generation[Dataset] cur_step=4387 phase=B_anchor_generation + +[Dataset] cur_step=4387 phase=B_anchor_generation +[Dataset] cur_step=4387 phase=B_anchor_generation[Dataset] cur_step=4387 phase=B_anchor_generation + +[Dataset] cur_step=4387 phase=B_anchor_generation + 49%|██████████████▏ | 4387/9000 [2:07:31<18:11:32, 14.20s/it][Dataset] cur_step=4387 phase=B_anchor_generation + {'loss': '2.792', 'grad_norm': '1.706', 'learning_rate': '2.81e-05', 'epoch': '0.1578'} + 49%|██████████████▏ | 4387/9000 [2:07:31<18:11:32, 14.20s/it] {'lm_loss': '0.000607', 'visual_loss': '2.644', 'seg_loss': '0.707', 'dino_loss': '0.9223', 'depth_loss': '0.2081', 'vggt_mse_loss': '0.2066', 'vggt_cos_loss': '0.0143', 'pidinet_loss': '0.2152', 'siglip_loss': '0.5912', 'epoch': '0.1578'} + 49%|██████████████▏ | 4387/9000 [2:07:41<18:11:32, 14.20s/it][Dataset] cur_step=4388 phase=B_anchor_generation +[Dataset] cur_step=4388 phase=B_anchor_generation +[Dataset] cur_step=4388 phase=B_anchor_generation +[Dataset] cur_step=4388 phase=B_anchor_generation + 49%|██████████████▏ | 4388/9000 [2:07:44<17:47:15, 13.88s/it][Dataset] cur_step=4388 phase=B_anchor_generation +[Dataset] cur_step=4388 phase=B_anchor_generation +[Dataset] cur_step=4388 phase=B_anchor_generation +[Dataset] cur_step=4388 phase=B_anchor_generation + {'loss': '2.772', 'grad_norm': '1.409', 'learning_rate': '2.809e-05', 'epoch': '0.1579'} + 49%|██████████████▏ | 4388/9000 [2:07:44<17:47:15, 13.88s/it] {'lm_loss': '0.0003792', 'visual_loss': '2.731', 'seg_loss': '0.6737', 'dino_loss': '0.8712', 'depth_loss': '0.3013', 'vggt_mse_loss': '0.2989', 'vggt_cos_loss': '0.02393', 'pidinet_loss': '0.2743', 'siglip_loss': '0.6104', 'epoch': '0.1579'} + 49%|██████████████▏ | 4388/9000 [2:07:55<17:47:15, 13.88s/it][Dataset] cur_step=4389 phase=B_anchor_generation +[Dataset] cur_step=4389 phase=B_anchor_generation +[Dataset] cur_step=4389 phase=B_anchor_generation +[Dataset] cur_step=4389 phase=B_anchor_generation +[Dataset] cur_step=4389 phase=B_anchor_generation +[Dataset] cur_step=4389 phase=B_anchor_generation +[Dataset] cur_step=4389 phase=B_anchor_generation + 49%|██████████████▏ | 4389/9000 [2:07:58<17:53:40, 13.97s/it][Dataset] cur_step=4389 phase=B_anchor_generation + {'loss': '2.828', 'grad_norm': '1.523', 'learning_rate': '2.808e-05', 'epoch': '0.1579'} + 49%|██████████████▏ | 4389/9000 [2:07:58<17:53:40, 13.97s/it] {'lm_loss': '0.0003315', 'visual_loss': '2.941', 'seg_loss': '0.6941', 'dino_loss': '0.9172', 'depth_loss': '0.3386', 'vggt_mse_loss': '0.3359', 'vggt_cos_loss': '0.02688', 'pidinet_loss': '0.2723', 'siglip_loss': '0.7186', 'epoch': '0.1579'} + 49%|██████████████▏ | 4389/9000 [2:08:10<17:53:40, 13.97s/it][Dataset] cur_step=4390 phase=B_anchor_generation +[Dataset] cur_step=4390 phase=B_anchor_generation +[Dataset] cur_step=4390 phase=B_anchor_generation +[Dataset] cur_step=4390 phase=B_anchor_generation + 49%|██████████████▏ | 4390/9000 [2:08:12<17:51:37, 13.95s/it][Dataset] cur_step=4390 phase=B_anchor_generation +[Dataset] cur_step=4390 phase=B_anchor_generation +[Dataset] cur_step=4390 phase=B_anchor_generation +[Dataset] cur_step=4390 phase=B_anchor_generation + {'loss': '2.807', 'grad_norm': '1.439', 'learning_rate': '2.807e-05', 'epoch': '0.1579'} + 49%|██████████████▏ | 4390/9000 [2:08:12<17:51:37, 13.95s/it] {'lm_loss': '0.0002895', 'visual_loss': '2.897', 'seg_loss': '0.7487', 'dino_loss': '0.9056', 'depth_loss': '0.3688', 'vggt_mse_loss': '0.3657', 'vggt_cos_loss': '0.03063', 'pidinet_loss': '0.241', 'siglip_loss': '0.633', 'epoch': '0.1579'} + 49%|██████████████▏ | 4390/9000 [2:08:27<17:51:37, 13.95s/it][Dataset] cur_step=4391 phase=B_anchor_generation +[Dataset] cur_step=4391 phase=B_anchor_generation +[Dataset] cur_step=4391 phase=B_anchor_generation[Dataset] cur_step=4391 phase=B_anchor_generation +[Dataset] cur_step=4391 phase=B_anchor_generation + +[Dataset] cur_step=4391 phase=B_anchor_generation +[Dataset] cur_step=4391 phase=B_anchor_generation +[Dataset] cur_step=4391 phase=B_anchor_generation + 49%|██████████████▏ | 4391/9000 [2:08:28<18:23:44, 14.37s/it] {'loss': '2.754', 'grad_norm': '1.582', 'learning_rate': '2.806e-05', 'epoch': '0.158'} + 49%|██████████████▏ | 4391/9000 [2:08:28<18:23:44, 14.37s/it] {'lm_loss': '0.0007599', 'visual_loss': '2.895', 'seg_loss': '0.749', 'dino_loss': '0.9087', 'depth_loss': '0.3006', 'vggt_mse_loss': '0.2985', 'vggt_cos_loss': '0.02104', 'pidinet_loss': '0.2168', 'siglip_loss': '0.7198', 'epoch': '0.158'} + 49%|██████████████▏ | 4391/9000 [2:08:42<18:23:44, 14.37s/it][Dataset] cur_step=4392 phase=B_anchor_generation[Dataset] cur_step=4392 phase=B_anchor_generation + +[Dataset] cur_step=4392 phase=B_anchor_generation +[Dataset] cur_step=4392 phase=B_anchor_generation +[Dataset] cur_step=4392 phase=B_anchor_generation +[Dataset] cur_step=4392 phase=B_anchor_generation +[Dataset] cur_step=4392 phase=B_anchor_generation +[Dataset] cur_step=4392 phase=B_anchor_generation 49%|██████████████▏ | 4392/9000 [2:08:42<18:32:18, 14.48s/it] + {'loss': '2.89', 'grad_norm': '10.03', 'learning_rate': '2.805e-05', 'epoch': '0.158'} + 49%|██████████████▏ | 4392/9000 [2:08:42<18:32:18, 14.48s/it] {'lm_loss': '0.0001994', 'visual_loss': '2.511', 'seg_loss': '0.7991', 'dino_loss': '0.8928', 'depth_loss': '0.2243', 'vggt_mse_loss': '0.2229', 'vggt_cos_loss': '0.01328', 'pidinet_loss': '0.1654', 'siglip_loss': '0.4298', 'epoch': '0.158'} + 49%|██████████████▏ | 4392/9000 [2:08:55<18:32:18, 14.48s/it][Dataset] cur_step=4393 phase=B_anchor_generation +[Dataset] cur_step=4393 phase=B_anchor_generation +[Dataset] cur_step=4393 phase=B_anchor_generation[Dataset] cur_step=4393 phase=B_anchor_generation + +[Dataset] cur_step=4393 phase=B_anchor_generation +[Dataset] cur_step=4393 phase=B_anchor_generation +[Dataset] cur_step=4393 phase=B_anchor_generation +[Dataset] cur_step=4393 phase=B_anchor_generation + 49%|██████████████▏ | 4393/9000 [2:08:55<17:56:16, 14.02s/it] {'loss': '2.785', 'grad_norm': '1.629', 'learning_rate': '2.804e-05', 'epoch': '0.158'} + 49%|██████████████▏ | 4393/9000 [2:08:55<17:56:16, 14.02s/it] {'lm_loss': '0.0001367', 'visual_loss': '2.933', 'seg_loss': '0.8172', 'dino_loss': '0.9371', 'depth_loss': '0.4567', 'vggt_mse_loss': '0.4525', 'vggt_cos_loss': '0.04155', 'pidinet_loss': '0.2193', 'siglip_loss': '0.5026', 'epoch': '0.158'} + 49%|██████████████▏ | 4393/9000 [2:09:07<17:56:16, 14.02s/it][Dataset] cur_step=4394 phase=B_anchor_generation +[Dataset] cur_step=4394 phase=B_anchor_generation +[Dataset] cur_step=4394 phase=B_anchor_generation +[Dataset] cur_step=4394 phase=B_anchor_generation +[Dataset] cur_step=4394 phase=B_anchor_generation +[Dataset] cur_step=4394 phase=B_anchor_generation +[Dataset] cur_step=4394 phase=B_anchor_generation + 49%|██████████████▏ | 4394/9000 [2:09:09<17:52:22, 13.97s/it][Dataset] cur_step=4394 phase=B_anchor_generation + {'loss': '2.725', 'grad_norm': '1.664', 'learning_rate': '2.803e-05', 'epoch': '0.1581'} + 49%|██████████████▏ | 4394/9000 [2:09:09<17:52:22, 13.97s/it] {'lm_loss': '0.0003112', 'visual_loss': '2.854', 'seg_loss': '0.6866', 'dino_loss': '0.9271', 'depth_loss': '0.2383', 'vggt_mse_loss': '0.2366', 'vggt_cos_loss': '0.01758', 'pidinet_loss': '0.3088', 'siglip_loss': '0.6929', 'epoch': '0.1581'} + 49%|██████████████▏ | 4394/9000 [2:09:19<17:52:22, 13.97s/it][Dataset] cur_step=4395 phase=B_anchor_generation[Dataset] cur_step=4395 phase=B_anchor_generation + +[Dataset] cur_step=4395 phase=B_anchor_generation[Dataset] cur_step=4395 phase=B_anchor_generation + +[Dataset] cur_step=4395 phase=B_anchor_generation +[Dataset] cur_step=4395 phase=B_anchor_generation +[Dataset] cur_step=4395 phase=B_anchor_generation +[Dataset] cur_step=4395 phase=B_anchor_generation + 49%|██████████████▏ | 4395/9000 [2:09:22<17:32:00, 13.71s/it] {'loss': '2.755', 'grad_norm': '1.517', 'learning_rate': '2.802e-05', 'epoch': '0.1581'} + 49%|██████████████▏ | 4395/9000 [2:09:22<17:32:00, 13.71s/it] {'lm_loss': '0.0002371', 'visual_loss': '2.671', 'seg_loss': '0.6846', 'dino_loss': '0.9259', 'depth_loss': '0.2729', 'vggt_mse_loss': '0.2709', 'vggt_cos_loss': '0.01959', 'pidinet_loss': '0.2476', 'siglip_loss': '0.5403', 'epoch': '0.1581'} + 49%|██████████████▏ | 4395/9000 [2:09:33<17:32:00, 13.71s/it][Dataset] cur_step=4396 phase=B_anchor_generation +[Dataset] cur_step=4396 phase=B_anchor_generation +[Dataset] cur_step=4396 phase=B_anchor_generation +[Dataset] cur_step=4396 phase=B_anchor_generation +[Dataset] cur_step=4396 phase=B_anchor_generation + 49%|██████████████▏ | 4396/9000 [2:09:37<17:51:27, 13.96s/it][Dataset] cur_step=4396 phase=B_anchor_generation +[Dataset] cur_step=4396 phase=B_anchor_generation +[Dataset] cur_step=4396 phase=B_anchor_generation + {'loss': '2.732', 'grad_norm': '1.283', 'learning_rate': '2.801e-05', 'epoch': '0.1581'} + 49%|██████████████▏ | 4396/9000 [2:09:37<17:51:27, 13.96s/it] {'lm_loss': '0.0002462', 'visual_loss': '2.765', 'seg_loss': '0.7135', 'dino_loss': '0.9255', 'depth_loss': '0.2276', 'vggt_mse_loss': '0.2259', 'vggt_cos_loss': '0.01682', 'pidinet_loss': '0.2331', 'siglip_loss': '0.665', 'epoch': '0.1581'} + 49%|██████████████▏ | 4396/9000 [2:09:54<17:51:27, 13.96s/it][Dataset] cur_step=4397 phase=B_anchor_generation +[Dataset] cur_step=4397 phase=B_anchor_generation +[Dataset] cur_step=4397 phase=B_anchor_generation +[Dataset] cur_step=4397 phase=B_anchor_generation +[Dataset] cur_step=4397 phase=B_anchor_generation +[Dataset] cur_step=4397 phase=B_anchor_generation +[Dataset] cur_step=4397 phase=B_anchor_generation +[Dataset] cur_step=4397 phase=B_anchor_generation + 49%|██████████████▏ | 4397/9000 [2:09:54<19:10:37, 15.00s/it] {'loss': '2.789', 'grad_norm': '4.5', 'learning_rate': '2.801e-05', 'epoch': '0.1582'} + 49%|██████████████▏ | 4397/9000 [2:09:54<19:10:37, 15.00s/it] {'lm_loss': '0.0001465', 'visual_loss': '2.679', 'seg_loss': '0.7513', 'dino_loss': '0.9342', 'depth_loss': '0.2236', 'vggt_mse_loss': '0.2223', 'vggt_cos_loss': '0.01314', 'pidinet_loss': '0.2294', 'siglip_loss': '0.541', 'epoch': '0.1582'} + 49%|██████████████▏ | 4397/9000 [2:10:03<19:10:37, 15.00s/it][Dataset] cur_step=4398 phase=B_anchor_generation[Dataset] cur_step=4398 phase=B_anchor_generation + +[Dataset] cur_step=4398 phase=B_anchor_generation +[Dataset] cur_step=4398 phase=B_anchor_generation[Dataset] cur_step=4398 phase=B_anchor_generation + +[Dataset] cur_step=4398 phase=B_anchor_generation +[Dataset] cur_step=4398 phase=B_anchor_generation +[Dataset] cur_step=4398 phase=B_anchor_generation + 49%|██████████████▏ | 4398/9000 [2:10:07<18:31:50, 14.50s/it] {'loss': '2.659', 'grad_norm': '1.607', 'learning_rate': '2.8e-05', 'epoch': '0.1582'} + 49%|██████████████▏ | 4398/9000 [2:10:07<18:31:50, 14.50s/it] {'lm_loss': '0.0002858', 'visual_loss': '2.803', 'seg_loss': '0.8293', 'dino_loss': '0.9033', 'depth_loss': '0.2804', 'vggt_mse_loss': '0.2786', 'vggt_cos_loss': '0.01797', 'pidinet_loss': '0.3172', 'siglip_loss': '0.4725', 'epoch': '0.1582'} + 49%|██████████████▏ | 4398/9000 [2:10:17<18:31:50, 14.50s/it][Dataset] cur_step=4399 phase=B_anchor_generation +[Dataset] cur_step=4399 phase=B_anchor_generation +[Dataset] cur_step=4399 phase=B_anchor_generation +[Dataset] cur_step=4399 phase=B_anchor_generation +[Dataset] cur_step=4399 phase=B_anchor_generation +[Dataset] cur_step=4399 phase=B_anchor_generation +[Dataset] cur_step=4399 phase=B_anchor_generation +[Dataset] cur_step=4399 phase=B_anchor_generation + 49%|██████████████▏ | 4399/9000 [2:10:22<18:25:06, 14.41s/it] {'loss': '2.672', 'grad_norm': '1.41', 'learning_rate': '2.799e-05', 'epoch': '0.1583'} + 49%|██████████████▏ | 4399/9000 [2:10:22<18:25:06, 14.41s/it] {'lm_loss': '0.0002243', 'visual_loss': '2.545', 'seg_loss': '0.7465', 'dino_loss': '0.8814', 'depth_loss': '0.3395', 'vggt_mse_loss': '0.3378', 'vggt_cos_loss': '0.01739', 'pidinet_loss': '0.1504', 'siglip_loss': '0.4269', 'epoch': '0.1583'} + 49%|██████████████▏ | 4399/9000 [2:10:33<18:25:06, 14.41s/it][Dataset] cur_step=4400 phase=B_anchor_generation +[Dataset] cur_step=4400 phase=B_anchor_generation +[Dataset] cur_step=4400 phase=B_anchor_generation +[Dataset] cur_step=4400 phase=B_anchor_generation 49%|██████████████▏ | 4400/9000 [2:10:35<17:59:29, 14.08s/it] +[Dataset] cur_step=4400 phase=B_anchor_generation +[Dataset] cur_step=4400 phase=B_anchor_generation +[Dataset] cur_step=4400 phase=B_anchor_generation +[Dataset] cur_step=4400 phase=B_anchor_generation + {'loss': '2.7', 'grad_norm': '1.58', 'learning_rate': '2.798e-05', 'epoch': '0.1583'} + 49%|██████████████▏ | 4400/9000 [2:10:35<17:59:29, 14.08s/it] {'lm_loss': '0.0004712', 'visual_loss': '2.832', 'seg_loss': '0.7414', 'dino_loss': '0.898', 'depth_loss': '0.2574', 'vggt_mse_loss': '0.2556', 'vggt_cos_loss': '0.0182', 'pidinet_loss': '0.2663', 'siglip_loss': '0.6694', 'epoch': '0.1583'} + 49%|██████████████▏ | 4400/9000 [2:10:46<17:59:29, 14.08s/it][Dataset] cur_step=4401 phase=B_anchor_generation +[Dataset] cur_step=4401 phase=B_anchor_generation +[Dataset] cur_step=4401 phase=B_anchor_generation +[Dataset] cur_step=4401 phase=B_anchor_generation +[Dataset] cur_step=4401 phase=B_anchor_generation +[Dataset] cur_step=4401 phase=B_anchor_generation +[Dataset] cur_step=4401 phase=B_anchor_generation +[Dataset] cur_step=4401 phase=B_anchor_generation + 49%|██████████████▏ | 4401/9000 [2:10:50<18:12:41, 14.26s/it] {'loss': '2.71', 'grad_norm': '1.263', 'learning_rate': '2.797e-05', 'epoch': '0.1583'} + 49%|██████████████▏ | 4401/9000 [2:10:50<18:12:41, 14.26s/it] {'lm_loss': '0.0002008', 'visual_loss': '2.691', 'seg_loss': '0.6967', 'dino_loss': '0.9009', 'depth_loss': '0.2579', 'vggt_mse_loss': '0.2562', 'vggt_cos_loss': '0.01709', 'pidinet_loss': '0.1804', 'siglip_loss': '0.6554', 'epoch': '0.1583'} + 49%|██████████████▏ | 4401/9000 [2:10:59<18:12:41, 14.26s/it][Dataset] cur_step=4402 phase=B_anchor_generation +[Dataset] cur_step=4402 phase=B_anchor_generation +[Dataset] cur_step=4402 phase=B_anchor_generation +[Dataset] cur_step=4402 phase=B_anchor_generation +[Dataset] cur_step=4402 phase=B_anchor_generation[Dataset] cur_step=4402 phase=B_anchor_generation + +[Dataset] cur_step=4402 phase=B_anchor_generation +[Dataset] cur_step=4402 phase=B_anchor_generation + 49%|██████████████▏ | 4402/9000 [2:11:05<18:39:19, 14.61s/it] {'loss': '2.847', 'grad_norm': '2.458', 'learning_rate': '2.796e-05', 'epoch': '0.1584'} + 49%|██████████████▏ | 4402/9000 [2:11:05<18:39:19, 14.61s/it] {'lm_loss': '0.0003647', 'visual_loss': '2.993', 'seg_loss': '0.7405', 'dino_loss': '0.897', 'depth_loss': '0.3173', 'vggt_mse_loss': '0.3148', 'vggt_cos_loss': '0.02534', 'pidinet_loss': '0.2603', 'siglip_loss': '0.7777', 'epoch': '0.1584'} + 49%|██████████████▏ | 4402/9000 [2:11:16<18:39:19, 14.61s/it][Dataset] cur_step=4403 phase=B_anchor_generation +[Dataset] cur_step=4403 phase=B_anchor_generation +[Dataset] cur_step=4403 phase=B_anchor_generation +[Dataset] cur_step=4403 phase=B_anchor_generation +[Dataset] cur_step=4403 phase=B_anchor_generation +[Dataset] cur_step=4403 phase=B_anchor_generation +[Dataset] cur_step=4403 phase=B_anchor_generation +[Dataset] cur_step=4403 phase=B_anchor_generation + 49%|██████████████▏ | 4403/9000 [2:11:20<18:39:37, 14.61s/it] {'loss': '2.712', 'grad_norm': '1.868', 'learning_rate': '2.795e-05', 'epoch': '0.1584'} + 49%|██████████████▏ | 4403/9000 [2:11:20<18:39:37, 14.61s/it] {'lm_loss': '0.000137', 'visual_loss': '2.727', 'seg_loss': '0.7894', 'dino_loss': '0.93', 'depth_loss': '0.2758', 'vggt_mse_loss': '0.2739', 'vggt_cos_loss': '0.01995', 'pidinet_loss': '0.2143', 'siglip_loss': '0.5174', 'epoch': '0.1584'} + 49%|██████████████▏ | 4403/9000 [2:11:29<18:39:37, 14.61s/it][Dataset] cur_step=4404 phase=B_anchor_generation +[Dataset] cur_step=4404 phase=B_anchor_generation +[Dataset] cur_step=4404 phase=B_anchor_generation +[Dataset] cur_step=4404 phase=B_anchor_generation +[Dataset] cur_step=4404 phase=B_anchor_generation +[Dataset] cur_step=4404 phase=B_anchor_generation +[Dataset] cur_step=4404 phase=B_anchor_generation +[Dataset] cur_step=4404 phase=B_anchor_generation + 49%|██████████████▏ | 4404/9000 [2:11:36<19:08:45, 15.00s/it] {'loss': '2.652', 'grad_norm': '1.235', 'learning_rate': '2.794e-05', 'epoch': '0.1584'} + 49%|██████████████▏ | 4404/9000 [2:11:36<19:08:45, 15.00s/it] {'lm_loss': '0.0001328', 'visual_loss': '2.807', 'seg_loss': '0.7379', 'dino_loss': '0.9071', 'depth_loss': '0.3117', 'vggt_mse_loss': '0.3096', 'vggt_cos_loss': '0.02122', 'pidinet_loss': '0.2636', 'siglip_loss': '0.5867', 'epoch': '0.1584'} + 49%|██████████████▏ | 4404/9000 [2:11:47<19:08:45, 15.00s/it][Dataset] cur_step=4405 phase=B_anchor_generation +[Dataset] cur_step=4405 phase=B_anchor_generation +[Dataset] cur_step=4405 phase=B_anchor_generation[Dataset] cur_step=4405 phase=B_anchor_generation + +[Dataset] cur_step=4405 phase=B_anchor_generation + 49%|██████████████▏ | 4405/9000 [2:11:50<19:03:18, 14.93s/it][Dataset] cur_step=4405 phase=B_anchor_generation +[Dataset] cur_step=4405 phase=B_anchor_generation +[Dataset] cur_step=4405 phase=B_anchor_generation + {'loss': '2.689', 'grad_norm': '1.264', 'learning_rate': '2.793e-05', 'epoch': '0.1585'} + 49%|██████████████▏ | 4405/9000 [2:11:50<19:03:18, 14.93s/it] {'lm_loss': '7.67e-05', 'visual_loss': '2.972', 'seg_loss': '0.7574', 'dino_loss': '0.9308', 'depth_loss': '0.3152', 'vggt_mse_loss': '0.3135', 'vggt_cos_loss': '0.01701', 'pidinet_loss': '0.2726', 'siglip_loss': '0.6963', 'epoch': '0.1585'} + 49%|██████████████▏ | 4405/9000 [2:11:59<19:03:18, 14.93s/it][Dataset] cur_step=4406 phase=B_anchor_generation[Dataset] cur_step=4406 phase=B_anchor_generation + +[Dataset] cur_step=4406 phase=B_anchor_generation +[Dataset] cur_step=4406 phase=B_anchor_generation[Dataset] cur_step=4406 phase=B_anchor_generation + +[Dataset] cur_step=4406 phase=B_anchor_generation +[Dataset] cur_step=4406 phase=B_anchor_generation +[Dataset] cur_step=4406 phase=B_anchor_generation + 49%|██████████████▏ | 4406/9000 [2:12:07<19:35:25, 15.35s/it] {'loss': '2.852', 'grad_norm': '2.458', 'learning_rate': '2.792e-05', 'epoch': '0.1585'} + 49%|██████████████▏ | 4406/9000 [2:12:07<19:35:25, 15.35s/it] {'lm_loss': '0.0001796', 'visual_loss': '2.985', 'seg_loss': '0.6481', 'dino_loss': '0.9186', 'depth_loss': '0.4397', 'vggt_mse_loss': '0.4364', 'vggt_cos_loss': '0.03303', 'pidinet_loss': '0.2753', 'siglip_loss': '0.7037', 'epoch': '0.1585'} + 49%|██████████████▏ | 4406/9000 [2:12:17<19:35:25, 15.35s/it][Dataset] cur_step=4407 phase=B_anchor_generation +[Dataset] cur_step=4407 phase=B_anchor_generation +[Dataset] cur_step=4407 phase=B_anchor_generation +[Dataset] cur_step=4407 phase=B_anchor_generation +[Dataset] cur_step=4407 phase=B_anchor_generation[Dataset] cur_step=4407 phase=B_anchor_generation + +[Dataset] cur_step=4407 phase=B_anchor_generation +[Dataset] cur_step=4407 phase=B_anchor_generation + 49%|██████████████▏ | 4407/9000 [2:12:20<18:44:47, 14.69s/it] {'loss': '2.801', 'grad_norm': '1.854', 'learning_rate': '2.791e-05', 'epoch': '0.1585'} + 49%|██████████████▏ | 4407/9000 [2:12:20<18:44:47, 14.69s/it] {'lm_loss': '9.607e-05', 'visual_loss': '2.898', 'seg_loss': '0.8428', 'dino_loss': '0.9249', 'depth_loss': '0.3007', 'vggt_mse_loss': '0.2987', 'vggt_cos_loss': '0.01977', 'pidinet_loss': '0.2656', 'siglip_loss': '0.5638', 'epoch': '0.1585'} + 49%|██████████████▏ | 4407/9000 [2:12:31<18:44:47, 14.69s/it][Dataset] cur_step=4408 phase=B_anchor_generation +[Dataset] cur_step=4408 phase=B_anchor_generation +[Dataset] cur_step=4408 phase=B_anchor_generation +[Dataset] cur_step=4408 phase=B_anchor_generation +[Dataset] cur_step=4408 phase=B_anchor_generation +[Dataset] cur_step=4408 phase=B_anchor_generation + 49%|██████████████▏ | 4408/9000 [2:12:33<17:59:12, 14.10s/it][Dataset] cur_step=4408 phase=B_anchor_generation +[Dataset] cur_step=4408 phase=B_anchor_generation + {'loss': '2.774', 'grad_norm': '1.833', 'learning_rate': '2.791e-05', 'epoch': '0.1586'} + 49%|██████████████▏ | 4408/9000 [2:12:33<17:59:12, 14.10s/it] {'lm_loss': '0.0001878', 'visual_loss': '2.781', 'seg_loss': '0.6742', 'dino_loss': '0.9115', 'depth_loss': '0.3369', 'vggt_mse_loss': '0.3345', 'vggt_cos_loss': '0.02357', 'pidinet_loss': '0.2616', 'siglip_loss': '0.5965', 'epoch': '0.1586'} + 49%|██████████████▏ | 4408/9000 [2:12:44<17:59:12, 14.10s/it][Dataset] cur_step=4409 phase=B_anchor_generation +[Dataset] cur_step=4409 phase=B_anchor_generation +[Dataset] cur_step=4409 phase=B_anchor_generation +[Dataset] cur_step=4409 phase=B_anchor_generation +[Dataset] cur_step=4409 phase=B_anchor_generation +[Dataset] cur_step=4409 phase=B_anchor_generation +[Dataset] cur_step=4409 phase=B_anchor_generation +[Dataset] cur_step=4409 phase=B_anchor_generation + 49%|██████████████▏ | 4409/9000 [2:12:47<18:09:10, 14.23s/it] {'loss': '2.76', 'grad_norm': '1.272', 'learning_rate': '2.79e-05', 'epoch': '0.1586'} + 49%|██████████████▏ | 4409/9000 [2:12:47<18:09:10, 14.23s/it] {'lm_loss': '0.0002298', 'visual_loss': '3.193', 'seg_loss': '0.8048', 'dino_loss': '0.8946', 'depth_loss': '0.2864', 'vggt_mse_loss': '0.2845', 'vggt_cos_loss': '0.01895', 'pidinet_loss': '0.2965', 'siglip_loss': '0.9108', 'epoch': '0.1586'} + 49%|██████████████▏ | 4409/9000 [2:12:56<18:09:10, 14.23s/it][Dataset] cur_step=4410 phase=B_anchor_generation +[Dataset] cur_step=4410 phase=B_anchor_generation +[Dataset] cur_step=4410 phase=B_anchor_generation[Dataset] cur_step=4410 phase=B_anchor_generation + +[Dataset] cur_step=4410 phase=B_anchor_generation +[Dataset] cur_step=4410 phase=B_anchor_generation +[Dataset] cur_step=4410 phase=B_anchor_generation + 49%|██████████████▏ | 4410/9000 [2:13:00<17:44:39, 13.92s/it][Dataset] cur_step=4410 phase=B_anchor_generation + {'loss': '2.799', 'grad_norm': '1.57', 'learning_rate': '2.789e-05', 'epoch': '0.1587'} + 49%|██████████████▏ | 4410/9000 [2:13:00<17:44:39, 13.92s/it] {'lm_loss': '0.0003178', 'visual_loss': '2.871', 'seg_loss': '0.7795', 'dino_loss': '0.9139', 'depth_loss': '0.305', 'vggt_mse_loss': '0.3027', 'vggt_cos_loss': '0.02281', 'pidinet_loss': '0.2048', 'siglip_loss': '0.668', 'epoch': '0.1587'} + 49%|██████████████▏ | 4410/9000 [2:13:10<17:44:39, 13.92s/it][Dataset] cur_step=4411 phase=B_anchor_generation +[Dataset] cur_step=4411 phase=B_anchor_generation +[Dataset] cur_step=4411 phase=B_anchor_generation +[Dataset] cur_step=4411 phase=B_anchor_generation[Dataset] cur_step=4411 phase=B_anchor_generation + +[Dataset] cur_step=4411 phase=B_anchor_generation +[Dataset] cur_step=4411 phase=B_anchor_generation +[Dataset] cur_step=4411 phase=B_anchor_generation + 49%|██████████████▏ | 4411/9000 [2:13:14<17:43:13, 13.90s/it] {'loss': '2.703', 'grad_norm': '4.184', 'learning_rate': '2.788e-05', 'epoch': '0.1587'} + 49%|██████████████▏ | 4411/9000 [2:13:14<17:43:13, 13.90s/it] {'lm_loss': '0.0001896', 'visual_loss': '2.784', 'seg_loss': '0.8442', 'dino_loss': '0.9015', 'depth_loss': '0.2112', 'vggt_mse_loss': '0.2098', 'vggt_cos_loss': '0.01392', 'pidinet_loss': '0.255', 'siglip_loss': '0.5717', 'epoch': '0.1587'} + 49%|██████████████▏ | 4411/9000 [2:13:23<17:43:13, 13.90s/it][Dataset] cur_step=4412 phase=B_anchor_generation +[Dataset] cur_step=4412 phase=B_anchor_generation[Dataset] cur_step=4412 phase=B_anchor_generation + +[Dataset] cur_step=4412 phase=B_anchor_generation[Dataset] cur_step=4412 phase=B_anchor_generation + +[Dataset] cur_step=4412 phase=B_anchor_generation +[Dataset] cur_step=4412 phase=B_anchor_generation +[Dataset] cur_step=4412 phase=B_anchor_generation + 49%|██████████████▏ | 4412/9000 [2:13:28<17:43:20, 13.91s/it] {'loss': '2.802', 'grad_norm': '3.851', 'learning_rate': '2.787e-05', 'epoch': '0.1587'} + 49%|██████████████▏ | 4412/9000 [2:13:28<17:43:20, 13.91s/it] {'lm_loss': '0.0003002', 'visual_loss': '2.678', 'seg_loss': '0.7922', 'dino_loss': '0.9199', 'depth_loss': '0.2501', 'vggt_mse_loss': '0.2488', 'vggt_cos_loss': '0.01249', 'pidinet_loss': '0.2493', 'siglip_loss': '0.467', 'epoch': '0.1587'} + 49%|██████████████▏ | 4412/9000 [2:13:40<17:43:20, 13.91s/it][Dataset] cur_step=4413 phase=B_anchor_generation +[Dataset] cur_step=4413 phase=B_anchor_generation +[Dataset] cur_step=4413 phase=B_anchor_generation +[Dataset] cur_step=4413 phase=B_anchor_generation +[Dataset] cur_step=4413 phase=B_anchor_generation +[Dataset] cur_step=4413 phase=B_anchor_generation +[Dataset] cur_step=4413 phase=B_anchor_generation +[Dataset] cur_step=4413 phase=B_anchor_generation + 49%|██████████████▏ | 4413/9000 [2:13:41<17:17:35, 13.57s/it] {'loss': '2.772', 'grad_norm': '2.263', 'learning_rate': '2.786e-05', 'epoch': '0.1588'} + 49%|██████████████▏ | 4413/9000 [2:13:41<17:17:35, 13.57s/it] {'lm_loss': '0.0003963', 'visual_loss': '2.77', 'seg_loss': '0.7636', 'dino_loss': '0.9257', 'depth_loss': '0.2831', 'vggt_mse_loss': '0.2811', 'vggt_cos_loss': '0.01952', 'pidinet_loss': '0.2355', 'siglip_loss': '0.5623', 'epoch': '0.1588'} + 49%|██████████████▏ | 4413/9000 [2:13:52<17:17:35, 13.57s/it][Dataset] cur_step=4414 phase=B_anchor_generation +[Dataset] cur_step=4414 phase=B_anchor_generation +[Dataset] cur_step=4414 phase=B_anchor_generation[Dataset] cur_step=4414 phase=B_anchor_generation + +[Dataset] cur_step=4414 phase=B_anchor_generation +[Dataset] cur_step=4414 phase=B_anchor_generation +[Dataset] cur_step=4414 phase=B_anchor_generation +[Dataset] cur_step=4414 phase=B_anchor_generation + 49%|██████████████▏ | 4414/9000 [2:13:56<17:44:53, 13.93s/it] {'loss': '2.676', 'grad_norm': '1.447', 'learning_rate': '2.785e-05', 'epoch': '0.1588'} + 49%|██████████████▏ | 4414/9000 [2:13:56<17:44:53, 13.93s/it] {'lm_loss': '0.0003265', 'visual_loss': '2.817', 'seg_loss': '0.7712', 'dino_loss': '0.881', 'depth_loss': '0.2893', 'vggt_mse_loss': '0.2876', 'vggt_cos_loss': '0.01693', 'pidinet_loss': '0.1836', 'siglip_loss': '0.6923', 'epoch': '0.1588'} + 49%|██████████████▏ | 4414/9000 [2:14:06<17:44:53, 13.93s/it][Dataset] cur_step=4415 phase=B_anchor_generation +[Dataset] cur_step=4415 phase=B_anchor_generation +[Dataset] cur_step=4415 phase=B_anchor_generation +[Dataset] cur_step=4415 phase=B_anchor_generation +[Dataset] cur_step=4415 phase=B_anchor_generation +[Dataset] cur_step=4415 phase=B_anchor_generation + 49%|██████████████▏ | 4415/9000 [2:14:14<19:31:07, 15.33s/it][Dataset] cur_step=4415 phase=B_anchor_generation +[Dataset] cur_step=4415 phase=B_anchor_generation + {'loss': '2.748', 'grad_norm': '2.278', 'learning_rate': '2.784e-05', 'epoch': '0.1588'} + 49%|██████████████▏ | 4415/9000 [2:14:14<19:31:07, 15.33s/it] {'lm_loss': '0.0003331', 'visual_loss': '2.717', 'seg_loss': '0.7253', 'dino_loss': '0.902', 'depth_loss': '0.257', 'vggt_mse_loss': '0.2555', 'vggt_cos_loss': '0.01449', 'pidinet_loss': '0.216', 'siglip_loss': '0.6169', 'epoch': '0.1588'} + 49%|██████████████▏ | 4415/9000 [2:14:25<19:31:07, 15.33s/it][Dataset] cur_step=4416 phase=B_anchor_generation +[Dataset] cur_step=4416 phase=B_anchor_generation +[Dataset] cur_step=4416 phase=B_anchor_generation[Dataset] cur_step=4416 phase=B_anchor_generation + +[Dataset] cur_step=4416 phase=B_anchor_generation +[Dataset] cur_step=4416 phase=B_anchor_generation +[Dataset] cur_step=4416 phase=B_anchor_generation +[Dataset] cur_step=4416 phase=B_anchor_generation + 49%|██████████████▏ | 4416/9000 [2:14:32<20:33:43, 16.15s/it] {'loss': '2.777', 'grad_norm': '1.594', 'learning_rate': '2.783e-05', 'epoch': '0.1589'} + 49%|██████████████▏ | 4416/9000 [2:14:32<20:33:43, 16.15s/it] {'lm_loss': '0.0001714', 'visual_loss': '2.558', 'seg_loss': '0.6369', 'dino_loss': '0.9', 'depth_loss': '0.2887', 'vggt_mse_loss': '0.2872', 'vggt_cos_loss': '0.01492', 'pidinet_loss': '0.2534', 'siglip_loss': '0.4787', 'epoch': '0.1589'} + 49%|██████████████▏ | 4416/9000 [2:14:43<20:33:43, 16.15s/it][Dataset] cur_step=4417 phase=B_anchor_generation +[Dataset] cur_step=4417 phase=B_anchor_generation +[Dataset] cur_step=4417 phase=B_anchor_generation +[Dataset] cur_step=4417 phase=B_anchor_generation +[Dataset] cur_step=4417 phase=B_anchor_generation +[Dataset] cur_step=4417 phase=B_anchor_generation +[Dataset] cur_step=4417 phase=B_anchor_generation +[Dataset] cur_step=4417 phase=B_anchor_generation + 49%|██████████████▏ | 4417/9000 [2:14:48<20:17:16, 15.94s/it] {'loss': '2.703', 'grad_norm': '5.08', 'learning_rate': '2.782e-05', 'epoch': '0.1589'} + 49%|██████████████▏ | 4417/9000 [2:14:48<20:17:16, 15.94s/it] {'lm_loss': '0.0001861', 'visual_loss': '3.1', 'seg_loss': '0.7966', 'dino_loss': '0.9364', 'depth_loss': '0.3632', 'vggt_mse_loss': '0.3607', 'vggt_cos_loss': '0.02519', 'pidinet_loss': '0.2505', 'siglip_loss': '0.7535', 'epoch': '0.1589'} + 49%|██████████████▏ | 4417/9000 [2:14:56<20:17:16, 15.94s/it][Dataset] cur_step=4418 phase=B_anchor_generation +[Dataset] cur_step=4418 phase=B_anchor_generation[Dataset] cur_step=4418 phase=B_anchor_generation[Dataset] cur_step=4418 phase=B_anchor_generation[Dataset] cur_step=4418 phase=B_anchor_generation + + + +[Dataset] cur_step=4418 phase=B_anchor_generation +[Dataset] cur_step=4418 phase=B_anchor_generation +[Dataset] cur_step=4418 phase=B_anchor_generation + 49%|██████████████▏ | 4418/9000 [2:15:03<19:53:09, 15.62s/it] {'loss': '2.878', 'grad_norm': '1.465', 'learning_rate': '2.781e-05', 'epoch': '0.1589'} + 49%|██████████████▏ | 4418/9000 [2:15:03<19:53:09, 15.62s/it] {'lm_loss': '0.0002331', 'visual_loss': '2.861', 'seg_loss': '0.7551', 'dino_loss': '0.9155', 'depth_loss': '0.2934', 'vggt_mse_loss': '0.2913', 'vggt_cos_loss': '0.02065', 'pidinet_loss': '0.198', 'siglip_loss': '0.6991', 'epoch': '0.1589'} + 49%|██████████████▏ | 4418/9000 [2:15:11<19:53:09, 15.62s/it][Dataset] cur_step=4419 phase=B_anchor_generation +[Dataset] cur_step=4419 phase=B_anchor_generation +[Dataset] cur_step=4419 phase=B_anchor_generation +[Dataset] cur_step=4419 phase=B_anchor_generation +[Dataset] cur_step=4419 phase=B_anchor_generation +[Dataset] cur_step=4419 phase=B_anchor_generation +[Dataset] cur_step=4419 phase=B_anchor_generation +[Dataset] cur_step=4419 phase=B_anchor_generation + 49%|██████████████▏ | 4419/9000 [2:15:17<19:34:11, 15.38s/it] {'loss': '2.705', 'grad_norm': '2.743', 'learning_rate': '2.78e-05', 'epoch': '0.159'} + 49%|██████████████▏ | 4419/9000 [2:15:17<19:34:11, 15.38s/it] {'lm_loss': '0.000361', 'visual_loss': '2.823', 'seg_loss': '0.6722', 'dino_loss': '0.8959', 'depth_loss': '0.1755', 'vggt_mse_loss': '0.1743', 'vggt_cos_loss': '0.01242', 'pidinet_loss': '0.2981', 'siglip_loss': '0.7817', 'epoch': '0.159'} + 49%|██████████████▏ | 4419/9000 [2:15:32<19:34:11, 15.38s/it][Dataset] cur_step=4420 phase=B_anchor_generation +[Dataset] cur_step=4420 phase=B_anchor_generation +[Dataset] cur_step=4420 phase=B_anchor_generation +[Dataset] cur_step=4420 phase=B_anchor_generation +[Dataset] cur_step=4420 phase=B_anchor_generation +[Dataset] cur_step=4420 phase=B_anchor_generation[Dataset] cur_step=4420 phase=B_anchor_generation + +[Dataset] cur_step=4420 phase=B_anchor_generation + 49%|██████████████▏ | 4420/9000 [2:15:32<19:23:32, 15.24s/it] {'loss': '2.755', 'grad_norm': '1.536', 'learning_rate': '2.78e-05', 'epoch': '0.159'} + 49%|██████████████▏ | 4420/9000 [2:15:32<19:23:32, 15.24s/it] {'lm_loss': '0.0002286', 'visual_loss': '2.605', 'seg_loss': '0.7575', 'dino_loss': '0.9052', 'depth_loss': '0.2364', 'vggt_mse_loss': '0.2347', 'vggt_cos_loss': '0.01721', 'pidinet_loss': '0.2524', 'siglip_loss': '0.454', 'epoch': '0.159'} + 49%|██████████████▏ | 4420/9000 [2:15:45<19:23:32, 15.24s/it][Dataset] cur_step=4421 phase=B_anchor_generation +[Dataset] cur_step=4421 phase=B_anchor_generation[Dataset] cur_step=4421 phase=B_anchor_generation + +[Dataset] cur_step=4421 phase=B_anchor_generation +[Dataset] cur_step=4421 phase=B_anchor_generation +[Dataset] cur_step=4421 phase=B_anchor_generation +[Dataset] cur_step=4421 phase=B_anchor_generation +[Dataset] cur_step=4421 phase=B_anchor_generation + 49%|██████████████▏ | 4421/9000 [2:15:49<19:45:45, 15.54s/it] {'loss': '2.696', 'grad_norm': '1.261', 'learning_rate': '2.779e-05', 'epoch': '0.159'} + 49%|██████████████▏ | 4421/9000 [2:15:49<19:45:45, 15.54s/it] {'lm_loss': '0.0003441', 'visual_loss': '2.49', 'seg_loss': '0.6625', 'dino_loss': '0.8883', 'depth_loss': '0.2416', 'vggt_mse_loss': '0.2404', 'vggt_cos_loss': '0.01251', 'pidinet_loss': '0.1932', 'siglip_loss': '0.5043', 'epoch': '0.159'} + 49%|██████████████▏ | 4421/9000 [2:16:03<19:45:45, 15.54s/it][Dataset] cur_step=4422 phase=B_anchor_generation +[Dataset] cur_step=4422 phase=B_anchor_generation +[Dataset] cur_step=4422 phase=B_anchor_generation +[Dataset] cur_step=4422 phase=B_anchor_generation +[Dataset] cur_step=4422 phase=B_anchor_generation +[Dataset] cur_step=4422 phase=B_anchor_generation +[Dataset] cur_step=4422 phase=B_anchor_generation + 49%|██████████████▏ | 4422/9000 [2:16:04<19:39:55, 15.46s/it][Dataset] cur_step=4422 phase=B_anchor_generation + {'loss': '2.831', 'grad_norm': '2.24', 'learning_rate': '2.778e-05', 'epoch': '0.1591'} + 49%|██████████████▏ | 4422/9000 [2:16:04<19:39:55, 15.46s/it] {'lm_loss': '0.0002196', 'visual_loss': '2.652', 'seg_loss': '0.6767', 'dino_loss': '0.9386', 'depth_loss': '0.2323', 'vggt_mse_loss': '0.2305', 'vggt_cos_loss': '0.01753', 'pidinet_loss': '0.2196', 'siglip_loss': '0.5849', 'epoch': '0.1591'} + 49%|██████████████▏ | 4422/9000 [2:16:11<19:39:55, 15.46s/it][Dataset] cur_step=4423 phase=B_anchor_generation +[Dataset] cur_step=4423 phase=B_anchor_generation +[Dataset] cur_step=4423 phase=B_anchor_generation +[Dataset] cur_step=4423 phase=B_anchor_generation +[Dataset] cur_step=4423 phase=B_anchor_generation +[Dataset] cur_step=4423 phase=B_anchor_generation +[Dataset] cur_step=4423 phase=B_anchor_generation + 49%|██████████████▎ | 4423/9000 [2:16:20<19:52:13, 15.63s/it][Dataset] cur_step=4423 phase=B_anchor_generation + {'loss': '2.724', 'grad_norm': '2.278', 'learning_rate': '2.777e-05', 'epoch': '0.1591'} + 49%|██████████████▎ | 4423/9000 [2:16:20<19:52:13, 15.63s/it] {'lm_loss': '0.0004094', 'visual_loss': '2.806', 'seg_loss': '0.6582', 'dino_loss': '0.9255', 'depth_loss': '0.2749', 'vggt_mse_loss': '0.273', 'vggt_cos_loss': '0.01854', 'pidinet_loss': '0.2532', 'siglip_loss': '0.694', 'epoch': '0.1591'} + 49%|██████████████▎ | 4423/9000 [2:16:31<19:52:13, 15.63s/it][Dataset] cur_step=4424 phase=B_anchor_generation +[Dataset] cur_step=4424 phase=B_anchor_generation[Dataset] cur_step=4424 phase=B_anchor_generation + +[Dataset] cur_step=4424 phase=B_anchor_generation +[Dataset] cur_step=4424 phase=B_anchor_generation +[Dataset] cur_step=4424 phase=B_anchor_generation + 49%|██████████████▎ | 4424/9000 [2:16:33<19:00:19, 14.95s/it][Dataset] cur_step=4424 phase=B_anchor_generation +[Dataset] cur_step=4424 phase=B_anchor_generation + {'loss': '2.78', 'grad_norm': '1.615', 'learning_rate': '2.776e-05', 'epoch': '0.1592'} + 49%|██████████████▎ | 4424/9000 [2:16:33<19:00:19, 14.95s/it] {'lm_loss': '0.0003109', 'visual_loss': '2.912', 'seg_loss': '0.8035', 'dino_loss': '0.9182', 'depth_loss': '0.2937', 'vggt_mse_loss': '0.2921', 'vggt_cos_loss': '0.01635', 'pidinet_loss': '0.2275', 'siglip_loss': '0.6689', 'epoch': '0.1592'} + 49%|██████████████▎ | 4424/9000 [2:16:45<19:00:19, 14.95s/it][Dataset] cur_step=4425 phase=B_anchor_generation +[Dataset] cur_step=4425 phase=B_anchor_generation +[Dataset] cur_step=4425 phase=B_anchor_generation[Dataset] cur_step=4425 phase=B_anchor_generation + +[Dataset] cur_step=4425 phase=B_anchor_generation +[Dataset] cur_step=4425 phase=B_anchor_generation +[Dataset] cur_step=4425 phase=B_anchor_generation + 49%|██████████████▎ | 4425/9000 [2:16:48<18:47:44, 14.79s/it][Dataset] cur_step=4425 phase=B_anchor_generation + {'loss': '2.906', 'grad_norm': '2.017', 'learning_rate': '2.775e-05', 'epoch': '0.1592'} + 49%|██████████████▎ | 4425/9000 [2:16:48<18:47:44, 14.79s/it] {'lm_loss': '0.0005679', 'visual_loss': '2.825', 'seg_loss': '0.7973', 'dino_loss': '0.9105', 'depth_loss': '0.264', 'vggt_mse_loss': '0.2623', 'vggt_cos_loss': '0.01679', 'pidinet_loss': '0.2405', 'siglip_loss': '0.6122', 'epoch': '0.1592'} + 49%|██████████████▎ | 4425/9000 [2:17:01<18:47:44, 14.79s/it][Dataset] cur_step=4426 phase=B_anchor_generation +[Dataset] cur_step=4426 phase=B_anchor_generation +[Dataset] cur_step=4426 phase=B_anchor_generation +[Dataset] cur_step=4426 phase=B_anchor_generation +[Dataset] cur_step=4426 phase=B_anchor_generation + 49%|██████████████▎ | 4426/9000 [2:17:05<19:42:15, 15.51s/it][Dataset] cur_step=4426 phase=B_anchor_generation +[Dataset] cur_step=4426 phase=B_anchor_generation +[Dataset] cur_step=4426 phase=B_anchor_generation + {'loss': '2.712', 'grad_norm': '1.854', 'learning_rate': '2.774e-05', 'epoch': '0.1592'} + 49%|██████████████▎ | 4426/9000 [2:17:05<19:42:15, 15.51s/it] {'lm_loss': '0.0003699', 'visual_loss': '2.855', 'seg_loss': '0.708', 'dino_loss': '0.8774', 'depth_loss': '0.4367', 'vggt_mse_loss': '0.4336', 'vggt_cos_loss': '0.03113', 'pidinet_loss': '0.2143', 'siglip_loss': '0.6185', 'epoch': '0.1592'} + 49%|██████████████▎ | 4426/9000 [2:17:16<19:42:15, 15.51s/it][Dataset] cur_step=4427 phase=B_anchor_generation[Dataset] cur_step=4427 phase=B_anchor_generation + +[Dataset] cur_step=4427 phase=B_anchor_generation[Dataset] cur_step=4427 phase=B_anchor_generation + +[Dataset] cur_step=4427 phase=B_anchor_generation[Dataset] cur_step=4427 phase=B_anchor_generation + +[Dataset] cur_step=4427 phase=B_anchor_generation[Dataset] cur_step=4427 phase=B_anchor_generation + + 49%|██████████████▎ | 4427/9000 [2:17:20<19:33:05, 15.39s/it] {'loss': '2.761', 'grad_norm': '1.43', 'learning_rate': '2.773e-05', 'epoch': '0.1593'} + 49%|██████████████▎ | 4427/9000 [2:17:20<19:33:05, 15.39s/it] {'lm_loss': '0.0007193', 'visual_loss': '2.75', 'seg_loss': '0.748', 'dino_loss': '0.9324', 'depth_loss': '0.2776', 'vggt_mse_loss': '0.2752', 'vggt_cos_loss': '0.02458', 'pidinet_loss': '0.2632', 'siglip_loss': '0.5287', 'epoch': '0.1593'} + 49%|██████████████▎ | 4427/9000 [2:17:28<19:33:05, 15.39s/it][Dataset] cur_step=4428 phase=B_anchor_generation +[Dataset] cur_step=4428 phase=B_anchor_generation +[Dataset] cur_step=4428 phase=B_anchor_generation +[Dataset] cur_step=4428 phase=B_anchor_generation +[Dataset] cur_step=4428 phase=B_anchor_generation +[Dataset] cur_step=4428 phase=B_anchor_generation +[Dataset] cur_step=4428 phase=B_anchor_generation +[Dataset] cur_step=4428 phase=B_anchor_generation + 49%|██████████████▎ | 4428/9000 [2:17:36<19:46:28, 15.57s/it] {'loss': '2.749', 'grad_norm': '1.614', 'learning_rate': '2.772e-05', 'epoch': '0.1593'} + 49%|██████████████▎ | 4428/9000 [2:17:36<19:46:28, 15.57s/it] {'lm_loss': '0.0002198', 'visual_loss': '2.69', 'seg_loss': '0.788', 'dino_loss': '0.918', 'depth_loss': '0.2377', 'vggt_mse_loss': '0.2362', 'vggt_cos_loss': '0.01501', 'pidinet_loss': '0.2297', 'siglip_loss': '0.5169', 'epoch': '0.1593'} + 49%|██████████████▎ | 4428/9000 [2:17:46<19:46:28, 15.57s/it][Dataset] cur_step=4429 phase=B_anchor_generation +[Dataset] cur_step=4429 phase=B_anchor_generation +[Dataset] cur_step=4429 phase=B_anchor_generation +[Dataset] cur_step=4429 phase=B_anchor_generation +[Dataset] cur_step=4429 phase=B_anchor_generation +[Dataset] cur_step=4429 phase=B_anchor_generation +[Dataset] cur_step=4429 phase=B_anchor_generation[Dataset] cur_step=4429 phase=B_anchor_generation + + 49%|██████████████▎ | 4429/9000 [2:17:47<18:08:51, 14.29s/it] {'loss': '2.717', 'grad_norm': '7.623', 'learning_rate': '2.771e-05', 'epoch': '0.1593'} + 49%|██████████████▎ | 4429/9000 [2:17:47<18:08:51, 14.29s/it] {'lm_loss': '0.000111', 'visual_loss': '2.819', 'seg_loss': '0.7966', 'dino_loss': '0.922', 'depth_loss': '0.2517', 'vggt_mse_loss': '0.2498', 'vggt_cos_loss': '0.01889', 'pidinet_loss': '0.2635', 'siglip_loss': '0.5855', 'epoch': '0.1593'} + 49%|██████████████▎ | 4429/9000 [2:18:02<18:08:51, 14.29s/it][Dataset] cur_step=4430 phase=B_anchor_generation +[Dataset] cur_step=4430 phase=B_anchor_generation +[Dataset] cur_step=4430 phase=B_anchor_generation[Dataset] cur_step=4430 phase=B_anchor_generation + +[Dataset] cur_step=4430 phase=B_anchor_generation[Dataset] cur_step=4430 phase=B_anchor_generation + +[Dataset] cur_step=4430 phase=B_anchor_generation + 49%|██████████████▎ | 4430/9000 [2:18:04<19:05:40, 15.04s/it][Dataset] cur_step=4430 phase=B_anchor_generation + {'loss': '2.779', 'grad_norm': '1.694', 'learning_rate': '2.77e-05', 'epoch': '0.1594'} + 49%|██████████████▎ | 4430/9000 [2:18:04<19:05:40, 15.04s/it] {'lm_loss': '0.0007707', 'visual_loss': '2.957', 'seg_loss': '0.6797', 'dino_loss': '0.8902', 'depth_loss': '0.2234', 'vggt_mse_loss': '0.2216', 'vggt_cos_loss': '0.01814', 'pidinet_loss': '0.2142', 'siglip_loss': '0.9492', 'epoch': '0.1594'} + 49%|██████████████▎ | 4430/9000 [2:18:14<19:05:40, 15.04s/it][Dataset] cur_step=4431 phase=B_anchor_generation +[Dataset] cur_step=4431 phase=B_anchor_generation +[Dataset] cur_step=4431 phase=B_anchor_generation +[Dataset] cur_step=4431 phase=B_anchor_generation +[Dataset] cur_step=4431 phase=B_anchor_generation +[Dataset] cur_step=4431 phase=B_anchor_generation +[Dataset] cur_step=4431 phase=B_anchor_generation +[Dataset] cur_step=4431 phase=B_anchor_generation + 49%|██████████████▎ | 4431/9000 [2:18:20<19:23:44, 15.28s/it] {'loss': '2.828', 'grad_norm': '1.303', 'learning_rate': '2.77e-05', 'epoch': '0.1594'} + 49%|██████████████▎ | 4431/9000 [2:18:20<19:23:44, 15.28s/it] {'lm_loss': '0.0001952', 'visual_loss': '2.901', 'seg_loss': '0.745', 'dino_loss': '0.898', 'depth_loss': '0.3038', 'vggt_mse_loss': '0.3019', 'vggt_cos_loss': '0.01927', 'pidinet_loss': '0.2534', 'siglip_loss': '0.7007', 'epoch': '0.1594'} + 49%|██████████████▎ | 4431/9000 [2:18:33<19:23:44, 15.28s/it][Dataset] cur_step=4432 phase=B_anchor_generation +[Dataset] cur_step=4432 phase=B_anchor_generation[Dataset] cur_step=4432 phase=B_anchor_generation +[Dataset] cur_step=4432 phase=B_anchor_generation + +[Dataset] cur_step=4432 phase=B_anchor_generation +[Dataset] cur_step=4432 phase=B_anchor_generation +[Dataset] cur_step=4432 phase=B_anchor_generation[Dataset] cur_step=4432 phase=B_anchor_generation + + 49%|██████████████▎ | 4432/9000 [2:18:33<18:42:42, 14.75s/it] {'loss': '2.839', 'grad_norm': '2.069', 'learning_rate': '2.769e-05', 'epoch': '0.1594'} + 49%|██████████████▎ | 4432/9000 [2:18:33<18:42:42, 14.75s/it] {'lm_loss': '0.0001521', 'visual_loss': '2.694', 'seg_loss': '0.754', 'dino_loss': '0.9286', 'depth_loss': '0.2654', 'vggt_mse_loss': '0.2635', 'vggt_cos_loss': '0.01896', 'pidinet_loss': '0.2385', 'siglip_loss': '0.5078', 'epoch': '0.1594'} + 49%|██████████████▎ | 4432/9000 [2:18:46<18:42:42, 14.75s/it][Dataset] cur_step=4433 phase=B_anchor_generation +[Dataset] cur_step=4433 phase=B_anchor_generation +[Dataset] cur_step=4433 phase=B_anchor_generation +[Dataset] cur_step=4433 phase=B_anchor_generation +[Dataset] cur_step=4433 phase=B_anchor_generation +[Dataset] cur_step=4433 phase=B_anchor_generation +[Dataset] cur_step=4433 phase=B_anchor_generation + 49%|██████████████▎ | 4433/9000 [2:18:53<20:21:44, 16.05s/it][Dataset] cur_step=4433 phase=B_anchor_generation + {'loss': '2.729', 'grad_norm': '1.609', 'learning_rate': '2.768e-05', 'epoch': '0.1595'} + 49%|██████████████▎ | 4433/9000 [2:18:53<20:21:44, 16.05s/it] {'lm_loss': '0.0005593', 'visual_loss': '2.783', 'seg_loss': '0.695', 'dino_loss': '0.9125', 'depth_loss': '0.2016', 'vggt_mse_loss': '0.2002', 'vggt_cos_loss': '0.01434', 'pidinet_loss': '0.2528', 'siglip_loss': '0.7212', 'epoch': '0.1595'} + 49%|██████████████▎ | 4433/9000 [2:19:05<20:21:44, 16.05s/it][Dataset] cur_step=4434 phase=B_anchor_generation +[Dataset] cur_step=4434 phase=B_anchor_generation +[Dataset] cur_step=4434 phase=B_anchor_generation[Dataset] cur_step=4434 phase=B_anchor_generation[Dataset] cur_step=4434 phase=B_anchor_generation + + +[Dataset] cur_step=4434 phase=B_anchor_generation +[Dataset] cur_step=4434 phase=B_anchor_generation + 49%|██████████████▎ | 4434/9000 [2:19:07<19:34:55, 15.44s/it][Dataset] cur_step=4434 phase=B_anchor_generation + {'loss': '2.747', 'grad_norm': '1.553', 'learning_rate': '2.767e-05', 'epoch': '0.1595'} + 49%|██████████████▎ | 4434/9000 [2:19:07<19:34:55, 15.44s/it] {'lm_loss': '0.0001851', 'visual_loss': '2.944', 'seg_loss': '0.8742', 'dino_loss': '0.9055', 'depth_loss': '0.2366', 'vggt_mse_loss': '0.235', 'vggt_cos_loss': '0.01602', 'pidinet_loss': '0.2852', 'siglip_loss': '0.6425', 'epoch': '0.1595'} + 49%|██████████████▎ | 4434/9000 [2:19:18<19:34:55, 15.44s/it][Dataset] cur_step=4435 phase=B_anchor_generation +[Dataset] cur_step=4435 phase=B_anchor_generation +[Dataset] cur_step=4435 phase=B_anchor_generation +[Dataset] cur_step=4435 phase=B_anchor_generation +[Dataset] cur_step=4435 phase=B_anchor_generation +[Dataset] cur_step=4435 phase=B_anchor_generation[Dataset] cur_step=4435 phase=B_anchor_generation + +[Dataset] cur_step=4435 phase=B_anchor_generation + 49%|██████████████▎ | 4435/9000 [2:19:26<21:07:45, 16.66s/it] {'loss': '2.751', 'grad_norm': '1.249', 'learning_rate': '2.766e-05', 'epoch': '0.1595'} + 49%|██████████████▎ | 4435/9000 [2:19:26<21:07:45, 16.66s/it] {'lm_loss': '0.0001704', 'visual_loss': '2.928', 'seg_loss': '0.825', 'dino_loss': '0.9195', 'depth_loss': '0.2119', 'vggt_mse_loss': '0.2107', 'vggt_cos_loss': '0.01177', 'pidinet_loss': '0.234', 'siglip_loss': '0.7376', 'epoch': '0.1595'} + 49%|██████████████▎ | 4435/9000 [2:19:35<21:07:45, 16.66s/it][Dataset] cur_step=4436 phase=B_anchor_generation +[Dataset] cur_step=4436 phase=B_anchor_generation +[Dataset] cur_step=4436 phase=B_anchor_generation +[Dataset] cur_step=4436 phase=B_anchor_generation[Dataset] cur_step=4436 phase=B_anchor_generation + +[Dataset] cur_step=4436 phase=B_anchor_generation +[Dataset] cur_step=4436 phase=B_anchor_generation +[Dataset] cur_step=4436 phase=B_anchor_generation + 49%|██████████████▎ | 4436/9000 [2:19:42<20:50:44, 16.44s/it] {'loss': '2.763', 'grad_norm': '1.504', 'learning_rate': '2.765e-05', 'epoch': '0.1596'} + 49%|██████████████▎ | 4436/9000 [2:19:42<20:50:44, 16.44s/it] {'lm_loss': '0.0003119', 'visual_loss': '2.688', 'seg_loss': '0.6449', 'dino_loss': '0.9214', 'depth_loss': '0.2986', 'vggt_mse_loss': '0.2961', 'vggt_cos_loss': '0.02465', 'pidinet_loss': '0.1978', 'siglip_loss': '0.6257', 'epoch': '0.1596'} + 49%|██████████████▎ | 4436/9000 [2:19:53<20:50:44, 16.44s/it][Dataset] cur_step=4437 phase=B_anchor_generation +[Dataset] cur_step=4437 phase=B_anchor_generation +[Dataset] cur_step=4437 phase=B_anchor_generation +[Dataset] cur_step=4437 phase=B_anchor_generation +[Dataset] cur_step=4437 phase=B_anchor_generation +[Dataset] cur_step=4437 phase=B_anchor_generation +[Dataset] cur_step=4437 phase=B_anchor_generation + 49%|██████████████▎ | 4437/9000 [2:20:00<21:17:36, 16.80s/it][Dataset] cur_step=4437 phase=B_anchor_generation + {'loss': '2.721', 'grad_norm': '1.431', 'learning_rate': '2.764e-05', 'epoch': '0.1596'} + 49%|██████████████▎ | 4437/9000 [2:20:00<21:17:36, 16.80s/it] {'lm_loss': '0.0001912', 'visual_loss': '2.888', 'seg_loss': '0.7036', 'dino_loss': '0.8992', 'depth_loss': '0.4021', 'vggt_mse_loss': '0.4', 'vggt_cos_loss': '0.02099', 'pidinet_loss': '0.2573', 'siglip_loss': '0.6263', 'epoch': '0.1596'} + 49%|██████████████▎ | 4437/9000 [2:20:08<21:17:36, 16.80s/it][Dataset] cur_step=4438 phase=B_anchor_generation[Dataset] cur_step=4438 phase=B_anchor_generation + +[Dataset] cur_step=4438 phase=B_anchor_generation +[Dataset] cur_step=4438 phase=B_anchor_generation +[Dataset] cur_step=4438 phase=B_anchor_generation +[Dataset] cur_step=4438 phase=B_anchor_generation +[Dataset] cur_step=4438 phase=B_anchor_generation + 49%|██████████████▎ | 4438/9000 [2:20:13<19:53:38, 15.70s/it][Dataset] cur_step=4438 phase=B_anchor_generation + {'loss': '2.81', 'grad_norm': '1.89', 'learning_rate': '2.763e-05', 'epoch': '0.1597'} + 49%|██████████████▎ | 4438/9000 [2:20:13<19:53:38, 15.70s/it] {'lm_loss': '0.0003784', 'visual_loss': '2.777', 'seg_loss': '0.7332', 'dino_loss': '0.9266', 'depth_loss': '0.2533', 'vggt_mse_loss': '0.2515', 'vggt_cos_loss': '0.01729', 'pidinet_loss': '0.2127', 'siglip_loss': '0.6513', 'epoch': '0.1597'} + 49%|██████████████▎ | 4438/9000 [2:20:24<19:53:38, 15.70s/it][Dataset] cur_step=4439 phase=B_anchor_generation +[Dataset] cur_step=4439 phase=B_anchor_generation +[Dataset] cur_step=4439 phase=B_anchor_generation +[Dataset] cur_step=4439 phase=B_anchor_generation +[Dataset] cur_step=4439 phase=B_anchor_generation +[Dataset] cur_step=4439 phase=B_anchor_generation +[Dataset] cur_step=4439 phase=B_anchor_generation +[Dataset] cur_step=4439 phase=B_anchor_generation + 49%|██████████████▎ | 4439/9000 [2:20:28<19:37:49, 15.49s/it] {'loss': '2.723', 'grad_norm': '1.281', 'learning_rate': '2.762e-05', 'epoch': '0.1597'} + 49%|██████████████▎ | 4439/9000 [2:20:28<19:37:49, 15.49s/it] {'lm_loss': '0.0001074', 'visual_loss': '2.684', 'seg_loss': '0.7426', 'dino_loss': '0.901', 'depth_loss': '0.3388', 'vggt_mse_loss': '0.3366', 'vggt_cos_loss': '0.0223', 'pidinet_loss': '0.2205', 'siglip_loss': '0.4811', 'epoch': '0.1597'} + 49%|██████████████▎ | 4439/9000 [2:20:42<19:37:49, 15.49s/it][Dataset] cur_step=4440 phase=B_anchor_generation +[Dataset] cur_step=4440 phase=B_anchor_generation +[Dataset] cur_step=4440 phase=B_anchor_generation[Dataset] cur_step=4440 phase=B_anchor_generation + +[Dataset] cur_step=4440 phase=B_anchor_generation +[Dataset] cur_step=4440 phase=B_anchor_generation +[Dataset] cur_step=4440 phase=B_anchor_generation +[Dataset] cur_step=4440 phase=B_anchor_generation + 49%|██████████████▎ | 4440/9000 [2:20:44<19:50:39, 15.67s/it] {'loss': '2.745', 'grad_norm': '1.237', 'learning_rate': '2.761e-05', 'epoch': '0.1597'} + 49%|██████████████▎ | 4440/9000 [2:20:44<19:50:39, 15.67s/it] {'lm_loss': '0.0001578', 'visual_loss': '2.817', 'seg_loss': '0.8406', 'dino_loss': '0.9242', 'depth_loss': '0.3077', 'vggt_mse_loss': '0.3058', 'vggt_cos_loss': '0.01888', 'pidinet_loss': '0.2117', 'siglip_loss': '0.5329', 'epoch': '0.1597'} + 49%|██████████████▎ | 4440/9000 [2:20:56<19:50:39, 15.67s/it][Dataset] cur_step=4441 phase=B_anchor_generation +[Dataset] cur_step=4441 phase=B_anchor_generation +[Dataset] cur_step=4441 phase=B_anchor_generation +[Dataset] cur_step=4441 phase=B_anchor_generation +[Dataset] cur_step=4441 phase=B_anchor_generation +[Dataset] cur_step=4441 phase=B_anchor_generation +[Dataset] cur_step=4441 phase=B_anchor_generation +[Dataset] cur_step=4441 phase=B_anchor_generation + 49%|██████████████▎ | 4441/9000 [2:20:57<18:44:15, 14.80s/it] {'loss': '2.813', 'grad_norm': '1.475', 'learning_rate': '2.76e-05', 'epoch': '0.1598'} + 49%|██████████████▎ | 4441/9000 [2:20:57<18:44:15, 14.80s/it] {'lm_loss': '0.00015', 'visual_loss': '2.712', 'seg_loss': '0.7239', 'dino_loss': '0.8858', 'depth_loss': '0.3174', 'vggt_mse_loss': '0.3158', 'vggt_cos_loss': '0.01612', 'pidinet_loss': '0.1959', 'siglip_loss': '0.5891', 'epoch': '0.1598'} + 49%|██████████████▎ | 4441/9000 [2:21:11<18:44:15, 14.80s/it][Dataset] cur_step=4442 phase=B_anchor_generation +[Dataset] cur_step=4442 phase=B_anchor_generation +[Dataset] cur_step=4442 phase=B_anchor_generation +[Dataset] cur_step=4442 phase=B_anchor_generation +[Dataset] cur_step=4442 phase=B_anchor_generation +[Dataset] cur_step=4442 phase=B_anchor_generation +[Dataset] cur_step=4442 phase=B_anchor_generation +[Dataset] cur_step=4442 phase=B_anchor_generation + 49%|██████████████▎ | 4442/9000 [2:21:12<18:49:33, 14.87s/it] {'loss': '2.732', 'grad_norm': '1.49', 'learning_rate': '2.759e-05', 'epoch': '0.1598'} + 49%|██████████████▎ | 4442/9000 [2:21:12<18:49:33, 14.87s/it] {'lm_loss': '9.172e-05', 'visual_loss': '2.833', 'seg_loss': '0.7575', 'dino_loss': '0.9032', 'depth_loss': '0.2692', 'vggt_mse_loss': '0.2675', 'vggt_cos_loss': '0.01633', 'pidinet_loss': '0.2525', 'siglip_loss': '0.6505', 'epoch': '0.1598'} + 49%|██████████████▎ | 4442/9000 [2:21:19<18:49:33, 14.87s/it][Dataset] cur_step=4443 phase=B_anchor_generation +[Dataset] cur_step=4443 phase=B_anchor_generation +[Dataset] cur_step=4443 phase=B_anchor_generation +[Dataset] cur_step=4443 phase=B_anchor_generation +[Dataset] cur_step=4443 phase=B_anchor_generation + 49%|██████████████▎ | 4443/9000 [2:21:25<18:22:28, 14.52s/it][Dataset] cur_step=4443 phase=B_anchor_generation +[Dataset] cur_step=4443 phase=B_anchor_generation +[Dataset] cur_step=4443 phase=B_anchor_generation + {'loss': '2.745', 'grad_norm': '1.385', 'learning_rate': '2.759e-05', 'epoch': '0.1598'} + 49%|██████████████▎ | 4443/9000 [2:21:25<18:22:28, 14.52s/it] {'lm_loss': '0.0002163', 'visual_loss': '2.836', 'seg_loss': '0.7527', 'dino_loss': '0.9191', 'depth_loss': '0.2712', 'vggt_mse_loss': '0.2693', 'vggt_cos_loss': '0.01837', 'pidinet_loss': '0.24', 'siglip_loss': '0.6535', 'epoch': '0.1598'} + 49%|██████████████▎ | 4443/9000 [2:21:37<18:22:28, 14.52s/it][Dataset] cur_step=4444 phase=B_anchor_generation +[Dataset] cur_step=4444 phase=B_anchor_generation +[Dataset] cur_step=4444 phase=B_anchor_generation +[Dataset] cur_step=4444 phase=B_anchor_generation +[Dataset] cur_step=4444 phase=B_anchor_generation +[Dataset] cur_step=4444 phase=B_anchor_generation +[Dataset] cur_step=4444 phase=B_anchor_generation +[Dataset] cur_step=4444 phase=B_anchor_generation + 49%|██████████████▎ | 4444/9000 [2:21:40<18:19:54, 14.49s/it] {'loss': '2.778', 'grad_norm': '1.482', 'learning_rate': '2.758e-05', 'epoch': '0.1599'} + 49%|██████████████▎ | 4444/9000 [2:21:40<18:19:54, 14.49s/it] {'lm_loss': '0.0002111', 'visual_loss': '2.926', 'seg_loss': '0.8103', 'dino_loss': '0.927', 'depth_loss': '0.2558', 'vggt_mse_loss': '0.2539', 'vggt_cos_loss': '0.01938', 'pidinet_loss': '0.2625', 'siglip_loss': '0.6703', 'epoch': '0.1599'} + 49%|██████████████▎ | 4444/9000 [2:21:49<18:19:54, 14.49s/it][Dataset] cur_step=4445 phase=B_anchor_generation +[Dataset] cur_step=4445 phase=B_anchor_generation[Dataset] cur_step=4445 phase=B_anchor_generation + +[Dataset] cur_step=4445 phase=B_anchor_generation +[Dataset] cur_step=4445 phase=B_anchor_generation +[Dataset] cur_step=4445 phase=B_anchor_generation +[Dataset] cur_step=4445 phase=B_anchor_generation + 49%|██████████████▎ | 4445/9000 [2:21:55<18:36:16, 14.70s/it][Dataset] cur_step=4445 phase=B_anchor_generation + {'loss': '2.769', 'grad_norm': '1.543', 'learning_rate': '2.757e-05', 'epoch': '0.1599'} + 49%|██████████████▎ | 4445/9000 [2:21:55<18:36:16, 14.70s/it] {'lm_loss': '0.000215', 'visual_loss': '2.599', 'seg_loss': '0.6898', 'dino_loss': '0.9089', 'depth_loss': '0.2087', 'vggt_mse_loss': '0.2073', 'vggt_cos_loss': '0.01344', 'pidinet_loss': '0.2096', 'siglip_loss': '0.5825', 'epoch': '0.1599'} + 49%|██████████████▎ | 4445/9000 [2:22:04<18:36:16, 14.70s/it][Dataset] cur_step=4446 phase=B_anchor_generation +[Dataset] cur_step=4446 phase=B_anchor_generation +[Dataset] cur_step=4446 phase=B_anchor_generation +[Dataset] cur_step=4446 phase=B_anchor_generation[Dataset] cur_step=4446 phase=B_anchor_generation + +[Dataset] cur_step=4446 phase=B_anchor_generation +[Dataset] cur_step=4446 phase=B_anchor_generation + 49%|██████████████▎ | 4446/9000 [2:22:11<19:09:53, 15.15s/it][Dataset] cur_step=4446 phase=B_anchor_generation + {'loss': '2.655', 'grad_norm': '1.444', 'learning_rate': '2.756e-05', 'epoch': '0.1599'} + 49%|██████████████▎ | 4446/9000 [2:22:11<19:09:53, 15.15s/it] {'lm_loss': '0.0001314', 'visual_loss': '2.983', 'seg_loss': '0.7458', 'dino_loss': '0.8836', 'depth_loss': '0.2156', 'vggt_mse_loss': '0.214', 'vggt_cos_loss': '0.01647', 'pidinet_loss': '0.2899', 'siglip_loss': '0.8478', 'epoch': '0.1599'} + 49%|██████████████▎ | 4446/9000 [2:22:23<19:09:53, 15.15s/it][Dataset] cur_step=4447 phase=B_anchor_generation +[Dataset] cur_step=4447 phase=B_anchor_generation +[Dataset] cur_step=4447 phase=B_anchor_generation +[Dataset] cur_step=4447 phase=B_anchor_generation +[Dataset] cur_step=4447 phase=B_anchor_generation +[Dataset] cur_step=4447 phase=B_anchor_generation[Dataset] cur_step=4447 phase=B_anchor_generation + +[Dataset] cur_step=4447 phase=B_anchor_generation + 49%|██████████████▎ | 4447/9000 [2:22:29<20:04:39, 15.88s/it] {'loss': '2.783', 'grad_norm': '1.209', 'learning_rate': '2.755e-05', 'epoch': '0.16'} + 49%|██████████████▎ | 4447/9000 [2:22:29<20:04:39, 15.88s/it] {'lm_loss': '0.0001539', 'visual_loss': '2.545', 'seg_loss': '0.7652', 'dino_loss': '0.9225', 'depth_loss': '0.2899', 'vggt_mse_loss': '0.2881', 'vggt_cos_loss': '0.01818', 'pidinet_loss': '0.2137', 'siglip_loss': '0.354', 'epoch': '0.16'} + 49%|██████████████▎ | 4447/9000 [2:22:38<20:04:39, 15.88s/it][Dataset] cur_step=4448 phase=B_anchor_generation +[Dataset] cur_step=4448 phase=B_anchor_generation +[Dataset] cur_step=4448 phase=B_anchor_generation +[Dataset] cur_step=4448 phase=B_anchor_generation +[Dataset] cur_step=4448 phase=B_anchor_generation + 49%|██████████████▎ | 4448/9000 [2:22:44<19:40:48, 15.56s/it][Dataset] cur_step=4448 phase=B_anchor_generation +[Dataset] cur_step=4448 phase=B_anchor_generation +[Dataset] cur_step=4448 phase=B_anchor_generation + {'loss': '2.712', 'grad_norm': '1.683', 'learning_rate': '2.754e-05', 'epoch': '0.16'} + 49%|██████████████▎ | 4448/9000 [2:22:44<19:40:48, 15.56s/it] {'lm_loss': '0.0001189', 'visual_loss': '2.834', 'seg_loss': '0.7835', 'dino_loss': '0.9349', 'depth_loss': '0.2834', 'vggt_mse_loss': '0.2816', 'vggt_cos_loss': '0.01795', 'pidinet_loss': '0.1994', 'siglip_loss': '0.6325', 'epoch': '0.16'} + 49%|██████████████▎ | 4448/9000 [2:22:54<19:40:48, 15.56s/it][Dataset] cur_step=4449 phase=B_anchor_generation +[Dataset] cur_step=4449 phase=B_anchor_generation +[Dataset] cur_step=4449 phase=B_anchor_generation +[Dataset] cur_step=4449 phase=B_anchor_generation +[Dataset] cur_step=4449 phase=B_anchor_generation +[Dataset] cur_step=4449 phase=B_anchor_generation +[Dataset] cur_step=4449 phase=B_anchor_generation +[Dataset] cur_step=4449 phase=B_anchor_generation + 49%|██████████████▎ | 4449/9000 [2:22:56<18:39:26, 14.76s/it] {'loss': '2.803', 'grad_norm': '1.328', 'learning_rate': '2.753e-05', 'epoch': '0.1601'} + 49%|██████████████▎ | 4449/9000 [2:22:56<18:39:26, 14.76s/it] {'lm_loss': '0.0001055', 'visual_loss': '2.733', 'seg_loss': '0.7554', 'dino_loss': '0.9169', 'depth_loss': '0.2887', 'vggt_mse_loss': '0.2867', 'vggt_cos_loss': '0.01959', 'pidinet_loss': '0.2398', 'siglip_loss': '0.5325', 'epoch': '0.1601'} + 49%|██████████████▎ | 4449/9000 [2:23:06<18:39:26, 14.76s/it][Dataset] cur_step=4450 phase=B_anchor_generation[Dataset] cur_step=4450 phase=B_anchor_generation[Dataset] cur_step=4450 phase=B_anchor_generation + + +[Dataset] cur_step=4450 phase=B_anchor_generation +[Dataset] cur_step=4450 phase=B_anchor_generation +[Dataset] cur_step=4450 phase=B_anchor_generation +[Dataset] cur_step=4450 phase=B_anchor_generation[Dataset] cur_step=4450 phase=B_anchor_generation + + 49%|██████████████▎ | 4450/9000 [2:23:10<18:13:13, 14.42s/it] {'loss': '2.742', 'grad_norm': '1.339', 'learning_rate': '2.752e-05', 'epoch': '0.1601'} + 49%|██████████████▎ | 4450/9000 [2:23:10<18:13:13, 14.42s/it] {'lm_loss': '0.0001382', 'visual_loss': '2.768', 'seg_loss': '0.7608', 'dino_loss': '0.9248', 'depth_loss': '0.2297', 'vggt_mse_loss': '0.2281', 'vggt_cos_loss': '0.01523', 'pidinet_loss': '0.2637', 'siglip_loss': '0.5895', 'epoch': '0.1601'} + 49%|██████████████▎ | 4450/9000 [2:23:19<18:13:13, 14.42s/it][Dataset] cur_step=4451 phase=B_anchor_generation +[Dataset] cur_step=4451 phase=B_anchor_generation +[Dataset] cur_step=4451 phase=B_anchor_generation +[Dataset] cur_step=4451 phase=B_anchor_generation +[Dataset] cur_step=4451 phase=B_anchor_generation +[Dataset] cur_step=4451 phase=B_anchor_generation 49%|██████████████▎ | 4451/9000 [2:23:29<19:49:22, 15.69s/it] +[Dataset] cur_step=4451 phase=B_anchor_generation +[Dataset] cur_step=4451 phase=B_anchor_generation + {'loss': '2.649', 'grad_norm': '1.316', 'learning_rate': '2.751e-05', 'epoch': '0.1601'} + 49%|██████████████▎ | 4451/9000 [2:23:29<19:49:22, 15.69s/it] {'lm_loss': '0.0001319', 'visual_loss': '2.719', 'seg_loss': '0.7064', 'dino_loss': '0.9394', 'depth_loss': '0.3462', 'vggt_mse_loss': '0.3432', 'vggt_cos_loss': '0.0303', 'pidinet_loss': '0.1967', 'siglip_loss': '0.5304', 'epoch': '0.1601'} + 49%|██████████████▎ | 4451/9000 [2:23:40<19:49:22, 15.69s/it][Dataset] cur_step=4452 phase=B_anchor_generation +[Dataset] cur_step=4452 phase=B_anchor_generation +[Dataset] cur_step=4452 phase=B_anchor_generation +[Dataset] cur_step=4452 phase=B_anchor_generation +[Dataset] cur_step=4452 phase=B_anchor_generation +[Dataset] cur_step=4452 phase=B_anchor_generation[Dataset] cur_step=4452 phase=B_anchor_generation + +[Dataset] cur_step=4452 phase=B_anchor_generation + 49%|██████████████▎ | 4452/9000 [2:23:45<20:05:16, 15.90s/it] {'loss': '2.839', 'grad_norm': '1.531', 'learning_rate': '2.75e-05', 'epoch': '0.1602'} + 49%|██████████████▎ | 4452/9000 [2:23:45<20:05:16, 15.90s/it] {'lm_loss': '0.0001619', 'visual_loss': '2.943', 'seg_loss': '0.7028', 'dino_loss': '0.895', 'depth_loss': '0.2556', 'vggt_mse_loss': '0.2539', 'vggt_cos_loss': '0.01683', 'pidinet_loss': '0.3011', 'siglip_loss': '0.7885', 'epoch': '0.1602'} + 49%|██████████████▎ | 4452/9000 [2:23:55<20:05:16, 15.90s/it][Dataset] cur_step=4453 phase=B_anchor_generation +[Dataset] cur_step=4453 phase=B_anchor_generation +[Dataset] cur_step=4453 phase=B_anchor_generation[Dataset] cur_step=4453 phase=B_anchor_generation + +[Dataset] cur_step=4453 phase=B_anchor_generation +[Dataset] cur_step=4453 phase=B_anchor_generation +[Dataset] cur_step=4453 phase=B_anchor_generation +[Dataset] cur_step=4453 phase=B_anchor_generation + 49%|██████████████▎ | 4453/9000 [2:24:01<19:54:24, 15.76s/it] {'loss': '2.835', 'grad_norm': '10.49', 'learning_rate': '2.749e-05', 'epoch': '0.1602'} + 49%|██████████████▎ | 4453/9000 [2:24:01<19:54:24, 15.76s/it] {'lm_loss': '0.0002876', 'visual_loss': '2.369', 'seg_loss': '0.6003', 'dino_loss': '0.8813', 'depth_loss': '0.2737', 'vggt_mse_loss': '0.2721', 'vggt_cos_loss': '0.01595', 'pidinet_loss': '0.2441', 'siglip_loss': '0.3699', 'epoch': '0.1602'} + 49%|██████████████▎ | 4453/9000 [2:24:13<19:54:24, 15.76s/it][Dataset] cur_step=4454 phase=B_anchor_generation +[Dataset] cur_step=4454 phase=B_anchor_generation[Dataset] cur_step=4454 phase=B_anchor_generation +[Dataset] cur_step=4454 phase=B_anchor_generation + +[Dataset] cur_step=4454 phase=B_anchor_generation +[Dataset] cur_step=4454 phase=B_anchor_generation +[Dataset] cur_step=4454 phase=B_anchor_generation +[Dataset] cur_step=4454 phase=B_anchor_generation + 49%|██████████████▎ | 4454/9000 [2:24:15<19:26:51, 15.40s/it] {'loss': '2.683', 'grad_norm': '2.613', 'learning_rate': '2.749e-05', 'epoch': '0.1602'} + 49%|██████████████▎ | 4454/9000 [2:24:15<19:26:51, 15.40s/it] {'lm_loss': '0.0001701', 'visual_loss': '2.716', 'seg_loss': '0.7135', 'dino_loss': '0.9139', 'depth_loss': '0.2531', 'vggt_mse_loss': '0.2511', 'vggt_cos_loss': '0.01991', 'pidinet_loss': '0.2314', 'siglip_loss': '0.6039', 'epoch': '0.1602'} + 49%|██████████████▎ | 4454/9000 [2:24:25<19:26:51, 15.40s/it][Dataset] cur_step=4455 phase=B_anchor_generation +[Dataset] cur_step=4455 phase=B_anchor_generation +[Dataset] cur_step=4455 phase=B_anchor_generation +[Dataset] cur_step=4455 phase=B_anchor_generation +[Dataset] cur_step=4455 phase=B_anchor_generation +[Dataset] cur_step=4455 phase=B_anchor_generation +[Dataset] cur_step=4455 phase=B_anchor_generation +[Dataset] cur_step=4455 phase=B_anchor_generation + 50%|██████████████▎ | 4455/9000 [2:24:31<19:37:57, 15.55s/it] {'loss': '2.726', 'grad_norm': '1.672', 'learning_rate': '2.748e-05', 'epoch': '0.1603'} + 50%|██████████████▎ | 4455/9000 [2:24:31<19:37:57, 15.55s/it] {'lm_loss': '0.0001456', 'visual_loss': '2.571', 'seg_loss': '0.6402', 'dino_loss': '0.9134', 'depth_loss': '0.2587', 'vggt_mse_loss': '0.257', 'vggt_cos_loss': '0.01711', 'pidinet_loss': '0.2565', 'siglip_loss': '0.5018', 'epoch': '0.1603'} + 50%|██████████████▎ | 4455/9000 [2:24:42<19:37:57, 15.55s/it][Dataset] cur_step=4456 phase=B_anchor_generation +[Dataset] cur_step=4456 phase=B_anchor_generation +[Dataset] cur_step=4456 phase=B_anchor_generation +[Dataset] cur_step=4456 phase=B_anchor_generation[Dataset] cur_step=4456 phase=B_anchor_generation + +[Dataset] cur_step=4456 phase=B_anchor_generation +[Dataset] cur_step=4456 phase=B_anchor_generation + 50%|██████████████▎ | 4456/9000 [2:24:44<18:36:18, 14.74s/it][Dataset] cur_step=4456 phase=B_anchor_generation + {'loss': '2.706', 'grad_norm': '1.484', 'learning_rate': '2.747e-05', 'epoch': '0.1603'} + 50%|██████████████▎ | 4456/9000 [2:24:44<18:36:18, 14.74s/it] {'lm_loss': '0.000159', 'visual_loss': '2.761', 'seg_loss': '0.6873', 'dino_loss': '0.9137', 'depth_loss': '0.2565', 'vggt_mse_loss': '0.2548', 'vggt_cos_loss': '0.01735', 'pidinet_loss': '0.2396', 'siglip_loss': '0.6635', 'epoch': '0.1603'} + 50%|██████████████▎ | 4456/9000 [2:24:56<18:36:18, 14.74s/it][Dataset] cur_step=4457 phase=B_anchor_generation +[Dataset] cur_step=4457 phase=B_anchor_generation +[Dataset] cur_step=4457 phase=B_anchor_generation +[Dataset] cur_step=4457 phase=B_anchor_generation +[Dataset] cur_step=4457 phase=B_anchor_generation +[Dataset] cur_step=4457 phase=B_anchor_generation +[Dataset] cur_step=4457 phase=B_anchor_generation +[Dataset] cur_step=4457 phase=B_anchor_generation + 50%|██████████████▎ | 4457/9000 [2:24:57<17:50:33, 14.14s/it] {'loss': '2.717', 'grad_norm': '1.554', 'learning_rate': '2.746e-05', 'epoch': '0.1603'} + 50%|██████████████▎ | 4457/9000 [2:24:57<17:50:33, 14.14s/it] {'lm_loss': '0.0002546', 'visual_loss': '2.846', 'seg_loss': '0.8045', 'dino_loss': '0.9089', 'depth_loss': '0.2885', 'vggt_mse_loss': '0.2867', 'vggt_cos_loss': '0.0177', 'pidinet_loss': '0.2498', 'siglip_loss': '0.5947', 'epoch': '0.1603'} + 50%|██████████████▎ | 4457/9000 [2:25:06<17:50:33, 14.14s/it][Dataset] cur_step=4458 phase=B_anchor_generation +[Dataset] cur_step=4458 phase=B_anchor_generation +[Dataset] cur_step=4458 phase=B_anchor_generation +[Dataset] cur_step=4458 phase=B_anchor_generation +[Dataset] cur_step=4458 phase=B_anchor_generation +[Dataset] cur_step=4458 phase=B_anchor_generation 50%|██████████████▎ | 4458/9000 [2:25:11<18:05:47, 14.34s/it] +[Dataset] cur_step=4458 phase=B_anchor_generation +[Dataset] cur_step=4458 phase=B_anchor_generation + {'loss': '2.719', 'grad_norm': '1.719', 'learning_rate': '2.745e-05', 'epoch': '0.1604'} + 50%|██████████████▎ | 4458/9000 [2:25:11<18:05:47, 14.34s/it] {'lm_loss': '0.0005916', 'visual_loss': '2.76', 'seg_loss': '0.504', 'dino_loss': '0.8804', 'depth_loss': '0.226', 'vggt_mse_loss': '0.2242', 'vggt_cos_loss': '0.01763', 'pidinet_loss': '0.2902', 'siglip_loss': '0.8593', 'epoch': '0.1604'} + 50%|██████████████▎ | 4458/9000 [2:25:28<18:05:47, 14.34s/it][Dataset] cur_step=4459 phase=B_anchor_generation +[Dataset] cur_step=4459 phase=B_anchor_generation +[Dataset] cur_step=4459 phase=B_anchor_generation[Dataset] cur_step=4459 phase=B_anchor_generation + + 50%|██████████████▎ | 4459/9000 [2:25:28<19:06:37, 15.15s/it][Dataset] cur_step=4459 phase=B_anchor_generation[Dataset] cur_step=4459 phase=B_anchor_generation + +[Dataset] cur_step=4459 phase=B_anchor_generation +[Dataset] cur_step=4459 phase=B_anchor_generation + {'loss': '2.707', 'grad_norm': '1.443', 'learning_rate': '2.744e-05', 'epoch': '0.1604'} + 50%|██████████████▎ | 4459/9000 [2:25:28<19:06:37, 15.15s/it] {'lm_loss': '0.0003252', 'visual_loss': '2.559', 'seg_loss': '0.6721', 'dino_loss': '0.8968', 'depth_loss': '0.236', 'vggt_mse_loss': '0.2343', 'vggt_cos_loss': '0.01639', 'pidinet_loss': '0.1834', 'siglip_loss': '0.5705', 'epoch': '0.1604'} + 50%|██████████████▎ | 4459/9000 [2:25:39<19:06:37, 15.15s/it][Dataset] cur_step=4460 phase=B_anchor_generation +[Dataset] cur_step=4460 phase=B_anchor_generation +[Dataset] cur_step=4460 phase=B_anchor_generation +[Dataset] cur_step=4460 phase=B_anchor_generation[Dataset] cur_step=4460 phase=B_anchor_generation + +[Dataset] cur_step=4460 phase=B_anchor_generation[Dataset] cur_step=4460 phase=B_anchor_generation +[Dataset] cur_step=4460 phase=B_anchor_generation + + 50%|██████████████▎ | 4460/9000 [2:25:47<20:21:11, 16.14s/it] {'loss': '2.703', 'grad_norm': '2.172', 'learning_rate': '2.743e-05', 'epoch': '0.1604'} + 50%|██████████████▎ | 4460/9000 [2:25:47<20:21:11, 16.14s/it] {'lm_loss': '0.0002151', 'visual_loss': '2.769', 'seg_loss': '0.5932', 'dino_loss': '0.9065', 'depth_loss': '0.2304', 'vggt_mse_loss': '0.2286', 'vggt_cos_loss': '0.01823', 'pidinet_loss': '0.2891', 'siglip_loss': '0.7497', 'epoch': '0.1604'} + 50%|██████████████▎ | 4460/9000 [2:25:56<20:21:11, 16.14s/it][Dataset] cur_step=4461 phase=B_anchor_generation +[Dataset] cur_step=4461 phase=B_anchor_generation +[Dataset] cur_step=4461 phase=B_anchor_generation +[Dataset] cur_step=4461 phase=B_anchor_generation +[Dataset] cur_step=4461 phase=B_anchor_generation +[Dataset] cur_step=4461 phase=B_anchor_generation +[Dataset] cur_step=4461 phase=B_anchor_generation + 50%|██████████████▎ | 4461/9000 [2:26:01<19:42:59, 15.64s/it][Dataset] cur_step=4461 phase=B_anchor_generation + {'loss': '2.751', 'grad_norm': '1.71', 'learning_rate': '2.742e-05', 'epoch': '0.1605'} + 50%|██████████████▎ | 4461/9000 [2:26:01<19:42:59, 15.64s/it] {'lm_loss': '0.0001231', 'visual_loss': '2.826', 'seg_loss': '0.7166', 'dino_loss': '0.9413', 'depth_loss': '0.2392', 'vggt_mse_loss': '0.2375', 'vggt_cos_loss': '0.01696', 'pidinet_loss': '0.2523', 'siglip_loss': '0.6762', 'epoch': '0.1605'} + 50%|██████████████▎ | 4461/9000 [2:26:08<19:42:59, 15.64s/it][Dataset] cur_step=4462 phase=B_anchor_generation +[Dataset] cur_step=4462 phase=B_anchor_generation[Dataset] cur_step=4462 phase=B_anchor_generation +[Dataset] cur_step=4462 phase=B_anchor_generation + +[Dataset] cur_step=4462 phase=B_anchor_generation +[Dataset] cur_step=4462 phase=B_anchor_generation +[Dataset] cur_step=4462 phase=B_anchor_generation +[Dataset] cur_step=4462 phase=B_anchor_generation 50%|██████████████▍ | 4462/9000 [2:26:19<20:30:36, 16.27s/it] + {'loss': '2.729', 'grad_norm': '1.464', 'learning_rate': '2.741e-05', 'epoch': '0.1605'} + 50%|██████████████▍ | 4462/9000 [2:26:19<20:30:36, 16.27s/it] {'lm_loss': '0.0003798', 'visual_loss': '2.8', 'seg_loss': '0.7094', 'dino_loss': '0.8816', 'depth_loss': '0.2986', 'vggt_mse_loss': '0.2966', 'vggt_cos_loss': '0.02032', 'pidinet_loss': '0.2663', 'siglip_loss': '0.6445', 'epoch': '0.1605'} + 50%|██████████████▍ | 4462/9000 [2:26:29<20:30:36, 16.27s/it][Dataset] cur_step=4463 phase=B_anchor_generation +[Dataset] cur_step=4463 phase=B_anchor_generation +[Dataset] cur_step=4463 phase=B_anchor_generation +[Dataset] cur_step=4463 phase=B_anchor_generation +[Dataset] cur_step=4463 phase=B_anchor_generation +[Dataset] cur_step=4463 phase=B_anchor_generation +[Dataset] cur_step=4463 phase=B_anchor_generation +[Dataset] cur_step=4463 phase=B_anchor_generation + 50%|██████████████▍ | 4463/9000 [2:26:34<20:05:00, 15.94s/it] {'loss': '2.727', 'grad_norm': '1.327', 'learning_rate': '2.74e-05', 'epoch': '0.1606'} + 50%|██████████████▍ | 4463/9000 [2:26:34<20:05:00, 15.94s/it] {'lm_loss': '0.0001328', 'visual_loss': '2.677', 'seg_loss': '0.7171', 'dino_loss': '0.9213', 'depth_loss': '0.2274', 'vggt_mse_loss': '0.2257', 'vggt_cos_loss': '0.01665', 'pidinet_loss': '0.2234', 'siglip_loss': '0.5877', 'epoch': '0.1606'} + 50%|██████████████▍ | 4463/9000 [2:26:44<20:05:00, 15.94s/it][Dataset] cur_step=4464 phase=B_anchor_generation +[Dataset] cur_step=4464 phase=B_anchor_generation 50%|██████████████▍ | 4464/9000 [2:26:51<20:29:06, 16.26s/it] +[Dataset] cur_step=4464 phase=B_anchor_generation[Dataset] cur_step=4464 phase=B_anchor_generation + +[Dataset] cur_step=4464 phase=B_anchor_generation +[Dataset] cur_step=4464 phase=B_anchor_generation +[Dataset] cur_step=4464 phase=B_anchor_generation +[Dataset] cur_step=4464 phase=B_anchor_generation + {'loss': '2.752', 'grad_norm': '2.829', 'learning_rate': '2.739e-05', 'epoch': '0.1606'} + 50%|██████████████▍ | 4464/9000 [2:26:51<20:29:06, 16.26s/it] {'lm_loss': '0.0001072', 'visual_loss': '2.744', 'seg_loss': '0.7174', 'dino_loss': '0.9192', 'depth_loss': '0.2832', 'vggt_mse_loss': '0.2813', 'vggt_cos_loss': '0.01919', 'pidinet_loss': '0.2854', 'siglip_loss': '0.5385', 'epoch': '0.1606'} + 50%|██████████████▍ | 4464/9000 [2:27:00<20:29:06, 16.26s/it][Dataset] cur_step=4465 phase=B_anchor_generation[Dataset] cur_step=4465 phase=B_anchor_generation + +[Dataset] cur_step=4465 phase=B_anchor_generation[Dataset] cur_step=4465 phase=B_anchor_generation + +[Dataset] cur_step=4465 phase=B_anchor_generation +[Dataset] cur_step=4465 phase=B_anchor_generation +[Dataset] cur_step=4465 phase=B_anchor_generation +[Dataset] cur_step=4465 phase=B_anchor_generation + 50%|██████████████▍ | 4465/9000 [2:27:07<20:28:15, 16.25s/it] {'loss': '2.789', 'grad_norm': '1.417', 'learning_rate': '2.738e-05', 'epoch': '0.1606'} + 50%|██████████████▍ | 4465/9000 [2:27:08<20:28:15, 16.25s/it] {'lm_loss': '0.000383', 'visual_loss': '2.755', 'seg_loss': '0.6778', 'dino_loss': '0.9101', 'depth_loss': '0.2705', 'vggt_mse_loss': '0.2687', 'vggt_cos_loss': '0.01804', 'pidinet_loss': '0.204', 'siglip_loss': '0.6922', 'epoch': '0.1606'} + 50%|██████████████▍ | 4465/9000 [2:27:21<20:28:15, 16.25s/it][Dataset] cur_step=4466 phase=B_anchor_generation +[Dataset] cur_step=4466 phase=B_anchor_generation +[Dataset] cur_step=4466 phase=B_anchor_generation +[Dataset] cur_step=4466 phase=B_anchor_generation +[Dataset] cur_step=4466 phase=B_anchor_generation +[Dataset] cur_step=4466 phase=B_anchor_generation +[Dataset] cur_step=4466 phase=B_anchor_generation 50%|██████████████▍ | 4466/9000 [2:27:26<21:10:22, 16.81s/it] +[Dataset] cur_step=4466 phase=B_anchor_generation + {'loss': '2.775', 'grad_norm': '1.54', 'learning_rate': '2.738e-05', 'epoch': '0.1607'} + 50%|██████████████▍ | 4466/9000 [2:27:26<21:10:22, 16.81s/it] {'lm_loss': '0.0002359', 'visual_loss': '2.577', 'seg_loss': '0.6359', 'dino_loss': '0.9339', 'depth_loss': '0.2031', 'vggt_mse_loss': '0.2016', 'vggt_cos_loss': '0.01457', 'pidinet_loss': '0.2463', 'siglip_loss': '0.5581', 'epoch': '0.1607'} + 50%|██████████████▍ | 4466/9000 [2:27:38<21:10:22, 16.81s/it][Dataset] cur_step=4467 phase=B_anchor_generation +[Dataset] cur_step=4467 phase=B_anchor_generation +[Dataset] cur_step=4467 phase=B_anchor_generation[Dataset] cur_step=4467 phase=B_anchor_generation +[Dataset] cur_step=4467 phase=B_anchor_generation + +[Dataset] cur_step=4467 phase=B_anchor_generation +[Dataset] cur_step=4467 phase=B_anchor_generation +[Dataset] cur_step=4467 phase=B_anchor_generation + 50%|██████████████▍ | 4467/9000 [2:27:43<21:13:20, 16.85s/it] {'loss': '2.687', 'grad_norm': '1.731', 'learning_rate': '2.737e-05', 'epoch': '0.1607'} + 50%|██████████████▍ | 4467/9000 [2:27:43<21:13:20, 16.85s/it] {'lm_loss': '0.0003185', 'visual_loss': '2.708', 'seg_loss': '0.77', 'dino_loss': '0.8865', 'depth_loss': '0.3308', 'vggt_mse_loss': '0.3289', 'vggt_cos_loss': '0.01949', 'pidinet_loss': '0.212', 'siglip_loss': '0.5085', 'epoch': '0.1607'} + 50%|██████████████▍ | 4467/9000 [2:27:57<21:13:20, 16.85s/it][Dataset] cur_step=4468 phase=B_anchor_generation +[Dataset] cur_step=4468 phase=B_anchor_generation[Dataset] cur_step=4468 phase=B_anchor_generation + + 50%|██████████████▍ | 4468/9000 [2:27:57<20:22:43, 16.19s/it][Dataset] cur_step=4468 phase=B_anchor_generation +[Dataset] cur_step=4468 phase=B_anchor_generation +[Dataset] cur_step=4468 phase=B_anchor_generation +[Dataset] cur_step=4468 phase=B_anchor_generation +[Dataset] cur_step=4468 phase=B_anchor_generation + {'loss': '2.664', 'grad_norm': '1.479', 'learning_rate': '2.736e-05', 'epoch': '0.1607'} + 50%|██████████████▍ | 4468/9000 [2:27:57<20:22:43, 16.19s/it] {'lm_loss': '0.0003581', 'visual_loss': '2.703', 'seg_loss': '0.7076', 'dino_loss': '0.9073', 'depth_loss': '0.2278', 'vggt_mse_loss': '0.2264', 'vggt_cos_loss': '0.01452', 'pidinet_loss': '0.2418', 'siglip_loss': '0.6182', 'epoch': '0.1607'} + 50%|██████████████▍ | 4468/9000 [2:28:08<20:22:43, 16.19s/it][Dataset] cur_step=4469 phase=B_anchor_generation +[Dataset] cur_step=4469 phase=B_anchor_generation +[Dataset] cur_step=4469 phase=B_anchor_generation[Dataset] cur_step=4469 phase=B_anchor_generation[Dataset] cur_step=4469 phase=B_anchor_generation + +[Dataset] cur_step=4469 phase=B_anchor_generation + +[Dataset] cur_step=4469 phase=B_anchor_generation +[Dataset] cur_step=4469 phase=B_anchor_generation + 50%|██████████████▍ | 4469/9000 [2:28:12<19:45:15, 15.70s/it] {'loss': '2.706', 'grad_norm': '1.048', 'learning_rate': '2.735e-05', 'epoch': '0.1608'} + 50%|██████████████▍ | 4469/9000 [2:28:12<19:45:15, 15.70s/it] {'lm_loss': '0.0008632', 'visual_loss': '2.721', 'seg_loss': '0.6789', 'dino_loss': '0.8996', 'depth_loss': '0.2751', 'vggt_mse_loss': '0.2731', 'vggt_cos_loss': '0.02032', 'pidinet_loss': '0.279', 'siglip_loss': '0.5881', 'epoch': '0.1608'} + 50%|██████████████▍ | 4469/9000 [2:28:19<19:45:15, 15.70s/it][Dataset] cur_step=4470 phase=B_anchor_generation[Dataset] cur_step=4470 phase=B_anchor_generation + +[Dataset] cur_step=4470 phase=B_anchor_generation +[Dataset] cur_step=4470 phase=B_anchor_generation 50%|██████████████▍ | 4470/9000 [2:28:28<19:53:34, 15.81s/it] +[Dataset] cur_step=4470 phase=B_anchor_generation +[Dataset] cur_step=4470 phase=B_anchor_generation[Dataset] cur_step=4470 phase=B_anchor_generation + +[Dataset] cur_step=4470 phase=B_anchor_generation + {'loss': '2.718', 'grad_norm': '34.71', 'learning_rate': '2.734e-05', 'epoch': '0.1608'} + 50%|██████████████▍ | 4470/9000 [2:28:28<19:53:34, 15.81s/it] {'lm_loss': '0.0001906', 'visual_loss': '3.033', 'seg_loss': '0.846', 'dino_loss': '0.9306', 'depth_loss': '0.3203', 'vggt_mse_loss': '0.3185', 'vggt_cos_loss': '0.01788', 'pidinet_loss': '0.2287', 'siglip_loss': '0.7071', 'epoch': '0.1608'} + 50%|██████████████▍ | 4470/9000 [2:28:37<19:53:34, 15.81s/it][Dataset] cur_step=4471 phase=B_anchor_generation +[Dataset] cur_step=4471 phase=B_anchor_generation +[Dataset] cur_step=4471 phase=B_anchor_generation +[Dataset] cur_step=4471 phase=B_anchor_generation[Dataset] cur_step=4471 phase=B_anchor_generation + +[Dataset] cur_step=4471 phase=B_anchor_generation +[Dataset] cur_step=4471 phase=B_anchor_generation +[Dataset] cur_step=4471 phase=B_anchor_generation + 50%|██████████████▍ | 4471/9000 [2:28:41<18:49:08, 14.96s/it] {'loss': '2.766', 'grad_norm': '2.037', 'learning_rate': '2.733e-05', 'epoch': '0.1608'} + 50%|██████████████▍ | 4471/9000 [2:28:41<18:49:08, 14.96s/it] {'lm_loss': '0.001646', 'visual_loss': '2.503', 'seg_loss': '0.6246', 'dino_loss': '0.8781', 'depth_loss': '0.3026', 'vggt_mse_loss': '0.301', 'vggt_cos_loss': '0.01627', 'pidinet_loss': '0.1762', 'siglip_loss': '0.5219', 'epoch': '0.1608'} + 50%|██████████████▍ | 4471/9000 [2:28:52<18:49:08, 14.96s/it][Dataset] cur_step=4472 phase=B_anchor_generation +[Dataset] cur_step=4472 phase=B_anchor_generation +[Dataset] cur_step=4472 phase=B_anchor_generation +[Dataset] cur_step=4472 phase=B_anchor_generation +[Dataset] cur_step=4472 phase=B_anchor_generation +[Dataset] cur_step=4472 phase=B_anchor_generation +[Dataset] cur_step=4472 phase=B_anchor_generation +[Dataset] cur_step=4472 phase=B_anchor_generation + 50%|██████████████▍ | 4472/9000 [2:28:56<18:55:12, 15.04s/it] {'loss': '2.661', 'grad_norm': '2.072', 'learning_rate': '2.732e-05', 'epoch': '0.1609'} + 50%|██████████████▍ | 4472/9000 [2:28:56<18:55:12, 15.04s/it] {'lm_loss': '0.0001245', 'visual_loss': '2.8', 'seg_loss': '0.8264', 'dino_loss': '0.954', 'depth_loss': '0.2459', 'vggt_mse_loss': '0.2441', 'vggt_cos_loss': '0.01843', 'pidinet_loss': '0.2719', 'siglip_loss': '0.5016', 'epoch': '0.1609'} + 50%|██████████████▍ | 4472/9000 [2:29:05<18:55:12, 15.04s/it][Dataset] cur_step=4473 phase=B_anchor_generation +[Dataset] cur_step=4473 phase=B_anchor_generation +[Dataset] cur_step=4473 phase=B_anchor_generation[Dataset] cur_step=4473 phase=B_anchor_generation + +[Dataset] cur_step=4473 phase=B_anchor_generation +[Dataset] cur_step=4473 phase=B_anchor_generation +[Dataset] cur_step=4473 phase=B_anchor_generation +[Dataset] cur_step=4473 phase=B_anchor_generation + 50%|██████████████▍ | 4473/9000 [2:29:11<18:42:07, 14.87s/it] {'loss': '2.762', 'grad_norm': '1.678', 'learning_rate': '2.731e-05', 'epoch': '0.1609'} + 50%|██████████████▍ | 4473/9000 [2:29:11<18:42:07, 14.87s/it] {'lm_loss': '0.0002294', 'visual_loss': '2.798', 'seg_loss': '0.705', 'dino_loss': '0.9288', 'depth_loss': '0.2549', 'vggt_mse_loss': '0.253', 'vggt_cos_loss': '0.01914', 'pidinet_loss': '0.2067', 'siglip_loss': '0.7028', 'epoch': '0.1609'} + 50%|██████████████▍ | 4473/9000 [2:29:20<18:42:07, 14.87s/it][Dataset] cur_step=4474 phase=B_anchor_generation +[Dataset] cur_step=4474 phase=B_anchor_generation[Dataset] cur_step=4474 phase=B_anchor_generation + +[Dataset] cur_step=4474 phase=B_anchor_generation +[Dataset] cur_step=4474 phase=B_anchor_generation +[Dataset] cur_step=4474 phase=B_anchor_generation +[Dataset] cur_step=4474 phase=B_anchor_generation +[Dataset] cur_step=4474 phase=B_anchor_generation + 50%|██████████████▍ | 4474/9000 [2:29:27<19:18:58, 15.36s/it] {'loss': '2.856', 'grad_norm': '1.645', 'learning_rate': '2.73e-05', 'epoch': '0.161'} + 50%|██████████████▍ | 4474/9000 [2:29:27<19:18:58, 15.36s/it] {'lm_loss': '0.0002124', 'visual_loss': '2.691', 'seg_loss': '0.7313', 'dino_loss': '0.9058', 'depth_loss': '0.3414', 'vggt_mse_loss': '0.339', 'vggt_cos_loss': '0.02431', 'pidinet_loss': '0.1807', 'siglip_loss': '0.5316', 'epoch': '0.161'} + 50%|██████████████▍ | 4474/9000 [2:29:39<19:18:58, 15.36s/it][Dataset] cur_step=4475 phase=B_anchor_generation +[Dataset] cur_step=4475 phase=B_anchor_generation +[Dataset] cur_step=4475 phase=B_anchor_generation[Dataset] cur_step=4475 phase=B_anchor_generation + +[Dataset] cur_step=4475 phase=B_anchor_generation +[Dataset] cur_step=4475 phase=B_anchor_generation +[Dataset] cur_step=4475 phase=B_anchor_generation + 50%|██████████████▍ | 4475/9000 [2:29:44<19:47:39, 15.75s/it][Dataset] cur_step=4475 phase=B_anchor_generation + {'loss': '2.732', 'grad_norm': '1.38', 'learning_rate': '2.729e-05', 'epoch': '0.161'} + 50%|██████████████▍ | 4475/9000 [2:29:44<19:47:39, 15.75s/it] {'lm_loss': '0.0003784', 'visual_loss': '2.408', 'seg_loss': '0.6603', 'dino_loss': '0.9071', 'depth_loss': '0.2837', 'vggt_mse_loss': '0.2818', 'vggt_cos_loss': '0.01908', 'pidinet_loss': '0.1894', 'siglip_loss': '0.3672', 'epoch': '0.161'} + 50%|██████████████▍ | 4475/9000 [2:29:56<19:47:39, 15.75s/it][Dataset] cur_step=4476 phase=B_anchor_generation +[Dataset] cur_step=4476 phase=B_anchor_generation +[Dataset] cur_step=4476 phase=B_anchor_generation +[Dataset] cur_step=4476 phase=B_anchor_generation +[Dataset] cur_step=4476 phase=B_anchor_generation +[Dataset] cur_step=4476 phase=B_anchor_generation 50%|██████████████▍ | 4476/9000 [2:30:06<22:17:08, 17.73s/it] +[Dataset] cur_step=4476 phase=B_anchor_generation +[Dataset] cur_step=4476 phase=B_anchor_generation + {'loss': '2.606', 'grad_norm': '1.237', 'learning_rate': '2.728e-05', 'epoch': '0.161'} + 50%|██████████████▍ | 4476/9000 [2:30:06<22:17:08, 17.73s/it] {'lm_loss': '0.000335', 'visual_loss': '2.386', 'seg_loss': '0.6231', 'dino_loss': '0.8961', 'depth_loss': '0.3276', 'vggt_mse_loss': '0.3257', 'vggt_cos_loss': '0.01822', 'pidinet_loss': '0.1626', 'siglip_loss': '0.377', 'epoch': '0.161'} + 50%|██████████████▍ | 4476/9000 [2:30:18<22:17:08, 17.73s/it][Dataset] cur_step=4477 phase=B_anchor_generation +[Dataset] cur_step=4477 phase=B_anchor_generation +[Dataset] cur_step=4477 phase=B_anchor_generation +[Dataset] cur_step=4477 phase=B_anchor_generation +[Dataset] cur_step=4477 phase=B_anchor_generation + 50%|██████████████▍ | 4477/9000 [2:30:20<20:44:54, 16.51s/it][Dataset] cur_step=4477 phase=B_anchor_generation +[Dataset] cur_step=4477 phase=B_anchor_generation +[Dataset] cur_step=4477 phase=B_anchor_generation + {'loss': '2.598', 'grad_norm': '1.416', 'learning_rate': '2.727e-05', 'epoch': '0.1611'} + 50%|██████████████▍ | 4477/9000 [2:30:20<20:44:54, 16.51s/it] {'lm_loss': '0.0001815', 'visual_loss': '2.897', 'seg_loss': '0.8223', 'dino_loss': '0.8974', 'depth_loss': '0.2083', 'vggt_mse_loss': '0.2071', 'vggt_cos_loss': '0.01163', 'pidinet_loss': '0.21', 'siglip_loss': '0.7585', 'epoch': '0.1611'} + 50%|██████████████▍ | 4477/9000 [2:30:29<20:44:54, 16.51s/it][Dataset] cur_step=4478 phase=B_anchor_generation +[Dataset] cur_step=4478 phase=B_anchor_generation + 50%|██████████████▍ | 4478/9000 [2:30:35<20:22:29, 16.22s/it][Dataset] cur_step=4478 phase=B_anchor_generation[Dataset] cur_step=4478 phase=B_anchor_generation + +[Dataset] cur_step=4478 phase=B_anchor_generation +[Dataset] cur_step=4478 phase=B_anchor_generation +[Dataset] cur_step=4478 phase=B_anchor_generation +[Dataset] cur_step=4478 phase=B_anchor_generation + {'loss': '2.765', 'grad_norm': '1.375', 'learning_rate': '2.727e-05', 'epoch': '0.1611'} + 50%|██████████████▍ | 4478/9000 [2:30:35<20:22:29, 16.22s/it] {'lm_loss': '0.00027', 'visual_loss': '2.575', 'seg_loss': '0.6938', 'dino_loss': '0.8873', 'depth_loss': '0.2771', 'vggt_mse_loss': '0.2757', 'vggt_cos_loss': '0.01423', 'pidinet_loss': '0.2418', 'siglip_loss': '0.4748', 'epoch': '0.1611'} + 50%|██████████████▍ | 4478/9000 [2:30:47<20:22:29, 16.22s/it][Dataset] cur_step=4479 phase=B_anchor_generation +[Dataset] cur_step=4479 phase=B_anchor_generation +[Dataset] cur_step=4479 phase=B_anchor_generation +[Dataset] cur_step=4479 phase=B_anchor_generation +[Dataset] cur_step=4479 phase=B_anchor_generation +[Dataset] cur_step=4479 phase=B_anchor_generation + 50%|██████████████▍ | 4479/9000 [2:30:49<19:32:57, 15.57s/it][Dataset] cur_step=4479 phase=B_anchor_generation +[Dataset] cur_step=4479 phase=B_anchor_generation + {'loss': '2.699', 'grad_norm': '1.613', 'learning_rate': '2.726e-05', 'epoch': '0.1611'} + 50%|██████████████▍ | 4479/9000 [2:30:49<19:32:57, 15.57s/it] {'lm_loss': '0.0001657', 'visual_loss': '2.771', 'seg_loss': '0.7103', 'dino_loss': '0.9201', 'depth_loss': '0.2414', 'vggt_mse_loss': '0.2399', 'vggt_cos_loss': '0.01506', 'pidinet_loss': '0.2578', 'siglip_loss': '0.6412', 'epoch': '0.1611'} + 50%|██████████████▍ | 4479/9000 [2:31:00<19:32:57, 15.57s/it][Dataset] cur_step=4480 phase=B_anchor_generation +[Dataset] cur_step=4480 phase=B_anchor_generation[Dataset] cur_step=4480 phase=B_anchor_generation[Dataset] cur_step=4480 phase=B_anchor_generation + + +[Dataset] cur_step=4480 phase=B_anchor_generation +[Dataset] cur_step=4480 phase=B_anchor_generation +[Dataset] cur_step=4480 phase=B_anchor_generation + 50%|██████████████▍ | 4480/9000 [2:31:04<19:10:28, 15.27s/it][Dataset] cur_step=4480 phase=B_anchor_generation + {'loss': '2.716', 'grad_norm': '3.601', 'learning_rate': '2.725e-05', 'epoch': '0.1612'} + 50%|██████████████▍ | 4480/9000 [2:31:04<19:10:28, 15.27s/it] {'lm_loss': '0.000225', 'visual_loss': '2.728', 'seg_loss': '0.5646', 'dino_loss': '0.8958', 'depth_loss': '0.3124', 'vggt_mse_loss': '0.3099', 'vggt_cos_loss': '0.02522', 'pidinet_loss': '0.3329', 'siglip_loss': '0.6226', 'epoch': '0.1612'} + 50%|██████████████▍ | 4480/9000 [2:31:17<19:10:28, 15.27s/it][Dataset] cur_step=4481 phase=B_anchor_generation +[Dataset] cur_step=4481 phase=B_anchor_generation +[Dataset] cur_step=4481 phase=B_anchor_generation +[Dataset] cur_step=4481 phase=B_anchor_generation +[Dataset] cur_step=4481 phase=B_anchor_generation[Dataset] cur_step=4481 phase=B_anchor_generation + + 50%|██████████████▍ | 4481/9000 [2:31:17<18:28:58, 14.72s/it][Dataset] cur_step=4481 phase=B_anchor_generation +[Dataset] cur_step=4481 phase=B_anchor_generation + {'loss': '2.823', 'grad_norm': '3.06', 'learning_rate': '2.724e-05', 'epoch': '0.1612'} + 50%|██████████████▍ | 4481/9000 [2:31:17<18:28:58, 14.72s/it] {'lm_loss': '0.0001865', 'visual_loss': '2.678', 'seg_loss': '0.5548', 'dino_loss': '0.8835', 'depth_loss': '0.59', 'vggt_mse_loss': '0.586', 'vggt_cos_loss': '0.04018', 'pidinet_loss': '0.1655', 'siglip_loss': '0.4839', 'epoch': '0.1612'} + 50%|██████████████▍ | 4481/9000 [2:31:30<18:28:58, 14.72s/it][Dataset] cur_step=4482 phase=B_anchor_generation[Dataset] cur_step=4482 phase=B_anchor_generation + + 50%|██████████████▍ | 4482/9000 [2:31:31<17:58:59, 14.33s/it][Dataset] cur_step=4482 phase=B_anchor_generation[Dataset] cur_step=4482 phase=B_anchor_generation + +[Dataset] cur_step=4482 phase=B_anchor_generation +[Dataset] cur_step=4482 phase=B_anchor_generation +[Dataset] cur_step=4482 phase=B_anchor_generation +[Dataset] cur_step=4482 phase=B_anchor_generation + {'loss': '2.739', 'grad_norm': '1.754', 'learning_rate': '2.723e-05', 'epoch': '0.1612'} + 50%|██████████████▍ | 4482/9000 [2:31:31<17:58:59, 14.33s/it] {'lm_loss': '0.0001718', 'visual_loss': '2.91', 'seg_loss': '0.9283', 'dino_loss': '0.9062', 'depth_loss': '0.2432', 'vggt_mse_loss': '0.2413', 'vggt_cos_loss': '0.01877', 'pidinet_loss': '0.2083', 'siglip_loss': '0.6238', 'epoch': '0.1612'} + 50%|██████████████▍ | 4482/9000 [2:31:39<17:58:59, 14.33s/it][Dataset] cur_step=4483 phase=B_anchor_generation +[Dataset] cur_step=4483 phase=B_anchor_generation +[Dataset] cur_step=4483 phase=B_anchor_generation +[Dataset] cur_step=4483 phase=B_anchor_generation +[Dataset] cur_step=4483 phase=B_anchor_generation +[Dataset] cur_step=4483 phase=B_anchor_generation + 50%|██████████████▍ | 4483/9000 [2:31:45<18:03:28, 14.39s/it][Dataset] cur_step=4483 phase=B_anchor_generation +[Dataset] cur_step=4483 phase=B_anchor_generation + {'loss': '2.716', 'grad_norm': '1.422', 'learning_rate': '2.722e-05', 'epoch': '0.1613'} + 50%|██████████████▍ | 4483/9000 [2:31:45<18:03:28, 14.39s/it] {'lm_loss': '0.0002255', 'visual_loss': '2.358', 'seg_loss': '0.6748', 'dino_loss': '0.8827', 'depth_loss': '0.2918', 'vggt_mse_loss': '0.2905', 'vggt_cos_loss': '0.01362', 'pidinet_loss': '0.1593', 'siglip_loss': '0.349', 'epoch': '0.1613'} + 50%|██████████████▍ | 4483/9000 [2:31:59<18:03:28, 14.39s/it][Dataset] cur_step=4484 phase=B_anchor_generation +[Dataset] cur_step=4484 phase=B_anchor_generation +[Dataset] cur_step=4484 phase=B_anchor_generation +[Dataset] cur_step=4484 phase=B_anchor_generation +[Dataset] cur_step=4484 phase=B_anchor_generation +[Dataset] cur_step=4484 phase=B_anchor_generation[Dataset] cur_step=4484 phase=B_anchor_generation + 50%|██████████████▍ | 4484/9000 [2:32:00<18:04:45, 14.41s/it] +[Dataset] cur_step=4484 phase=B_anchor_generation + {'loss': '2.531', 'grad_norm': '1.661', 'learning_rate': '2.721e-05', 'epoch': '0.1613'} + 50%|██████████████▍ | 4484/9000 [2:32:00<18:04:45, 14.41s/it] {'lm_loss': '0.0001899', 'visual_loss': '2.781', 'seg_loss': '0.7989', 'dino_loss': '0.9321', 'depth_loss': '0.2709', 'vggt_mse_loss': '0.2694', 'vggt_cos_loss': '0.01541', 'pidinet_loss': '0.2127', 'siglip_loss': '0.5664', 'epoch': '0.1613'} + 50%|██████████████▍ | 4484/9000 [2:32:12<18:04:45, 14.41s/it][Dataset] cur_step=4485 phase=B_anchor_generation +[Dataset] cur_step=4485 phase=B_anchor_generation[Dataset] cur_step=4485 phase=B_anchor_generation + +[Dataset] cur_step=4485 phase=B_anchor_generation[Dataset] cur_step=4485 phase=B_anchor_generation + +[Dataset] cur_step=4485 phase=B_anchor_generation +[Dataset] cur_step=4485 phase=B_anchor_generation +[Dataset] cur_step=4485 phase=B_anchor_generation + 50%|██████████████▍ | 4485/9000 [2:32:15<18:32:25, 14.78s/it] {'loss': '2.77', 'grad_norm': '2.121', 'learning_rate': '2.72e-05', 'epoch': '0.1613'} + 50%|██████████████▍ | 4485/9000 [2:32:15<18:32:25, 14.78s/it] {'lm_loss': '0.0001379', 'visual_loss': '2.747', 'seg_loss': '0.7092', 'dino_loss': '0.9155', 'depth_loss': '0.2131', 'vggt_mse_loss': '0.2121', 'vggt_cos_loss': '0.01017', 'pidinet_loss': '0.1958', 'siglip_loss': '0.7138', 'epoch': '0.1613'} + 50%|██████████████▍ | 4485/9000 [2:32:28<18:32:25, 14.78s/it][Dataset] cur_step=4486 phase=B_anchor_generation[Dataset] cur_step=4486 phase=B_anchor_generation + +[Dataset] cur_step=4486 phase=B_anchor_generation 50%|██████████████▍ | 4486/9000 [2:32:30<18:23:35, 14.67s/it] +[Dataset] cur_step=4486 phase=B_anchor_generation[Dataset] cur_step=4486 phase=B_anchor_generation + +[Dataset] cur_step=4486 phase=B_anchor_generation[Dataset] cur_step=4486 phase=B_anchor_generation + +[Dataset] cur_step=4486 phase=B_anchor_generation + {'loss': '2.689', 'grad_norm': '1.258', 'learning_rate': '2.719e-05', 'epoch': '0.1614'} + 50%|██████████████▍ | 4486/9000 [2:32:30<18:23:35, 14.67s/it] {'lm_loss': '0.0002521', 'visual_loss': '2.87', 'seg_loss': '0.6527', 'dino_loss': '0.9314', 'depth_loss': '0.4802', 'vggt_mse_loss': '0.4758', 'vggt_cos_loss': '0.04427', 'pidinet_loss': '0.2497', 'siglip_loss': '0.5557', 'epoch': '0.1614'} + 50%|██████████████▍ | 4486/9000 [2:32:44<18:23:35, 14.67s/it][Dataset] cur_step=4487 phase=B_anchor_generation +[Dataset] cur_step=4487 phase=B_anchor_generation +[Dataset] cur_step=4487 phase=B_anchor_generation +[Dataset] cur_step=4487 phase=B_anchor_generation +[Dataset] cur_step=4487 phase=B_anchor_generation +[Dataset] cur_step=4487 phase=B_anchor_generation +[Dataset] cur_step=4487 phase=B_anchor_generation +[Dataset] cur_step=4487 phase=B_anchor_generation + 50%|██████████████▍ | 4487/9000 [2:32:44<18:23:20, 14.67s/it] {'loss': '2.78', 'grad_norm': '2.467', 'learning_rate': '2.718e-05', 'epoch': '0.1614'} + 50%|██████████████▍ | 4487/9000 [2:32:44<18:23:20, 14.67s/it] {'lm_loss': '0.0002142', 'visual_loss': '2.678', 'seg_loss': '0.6403', 'dino_loss': '0.9255', 'depth_loss': '0.3891', 'vggt_mse_loss': '0.3858', 'vggt_cos_loss': '0.03271', 'pidinet_loss': '0.235', 'siglip_loss': '0.4876', 'epoch': '0.1614'} + 50%|██████████████▍ | 4487/9000 [2:32:56<18:23:20, 14.67s/it][Dataset] cur_step=4488 phase=B_anchor_generation +[Dataset] cur_step=4488 phase=B_anchor_generation +[Dataset] cur_step=4488 phase=B_anchor_generation +[Dataset] cur_step=4488 phase=B_anchor_generation +[Dataset] cur_step=4488 phase=B_anchor_generation +[Dataset] cur_step=4488 phase=B_anchor_generation +[Dataset] cur_step=4488 phase=B_anchor_generation +[Dataset] cur_step=4488 phase=B_anchor_generation + 50%|██████████████▍ | 4488/9000 [2:32:57<17:36:42, 14.05s/it] {'loss': '2.741', 'grad_norm': '1.633', 'learning_rate': '2.717e-05', 'epoch': '0.1615'} + 50%|██████████████▍ | 4488/9000 [2:32:57<17:36:42, 14.05s/it] {'lm_loss': '0.004162', 'visual_loss': '2.576', 'seg_loss': '0.6698', 'dino_loss': '0.8961', 'depth_loss': '0.3019', 'vggt_mse_loss': '0.3003', 'vggt_cos_loss': '0.01646', 'pidinet_loss': '0.2024', 'siglip_loss': '0.5056', 'epoch': '0.1615'} + 50%|██████████████▍ | 4488/9000 [2:33:06<17:36:42, 14.05s/it][Dataset] cur_step=4489 phase=B_anchor_generation +[Dataset] cur_step=4489 phase=B_anchor_generation +[Dataset] cur_step=4489 phase=B_anchor_generation + 50%|██████████████▍ | 4489/9000 [2:33:11<17:34:37, 14.03s/it][Dataset] cur_step=4489 phase=B_anchor_generation +[Dataset] cur_step=4489 phase=B_anchor_generation +[Dataset] cur_step=4489 phase=B_anchor_generation +[Dataset] cur_step=4489 phase=B_anchor_generation +[Dataset] cur_step=4489 phase=B_anchor_generation + {'loss': '2.755', 'grad_norm': '1.439', 'learning_rate': '2.717e-05', 'epoch': '0.1615'} + 50%|██████████████▍ | 4489/9000 [2:33:11<17:34:37, 14.03s/it] {'lm_loss': '0.000221', 'visual_loss': '2.6', 'seg_loss': '0.6699', 'dino_loss': '0.901', 'depth_loss': '0.3258', 'vggt_mse_loss': '0.324', 'vggt_cos_loss': '0.01791', 'pidinet_loss': '0.228', 'siglip_loss': '0.4757', 'epoch': '0.1615'} + 50%|██████████████▍ | 4489/9000 [2:33:24<17:34:37, 14.03s/it][Dataset] cur_step=4490 phase=B_anchor_generation +[Dataset] cur_step=4490 phase=B_anchor_generation +[Dataset] cur_step=4490 phase=B_anchor_generation +[Dataset] cur_step=4490 phase=B_anchor_generation +[Dataset] cur_step=4490 phase=B_anchor_generation +[Dataset] cur_step=4490 phase=B_anchor_generation[Dataset] cur_step=4490 phase=B_anchor_generation +[Dataset] cur_step=4490 phase=B_anchor_generation + + 50%|██████████████▍ | 4490/9000 [2:33:25<17:42:57, 14.14s/it] {'loss': '2.738', 'grad_norm': '1.643', 'learning_rate': '2.716e-05', 'epoch': '0.1615'} + 50%|██████████████▍ | 4490/9000 [2:33:25<17:42:57, 14.14s/it] {'lm_loss': '0.0001508', 'visual_loss': '2.959', 'seg_loss': '0.8045', 'dino_loss': '0.9464', 'depth_loss': '0.1976', 'vggt_mse_loss': '0.1962', 'vggt_cos_loss': '0.01407', 'pidinet_loss': '0.2004', 'siglip_loss': '0.8097', 'epoch': '0.1615'} + 50%|██████████████▍ | 4490/9000 [2:33:35<17:42:57, 14.14s/it][Dataset] cur_step=4491 phase=B_anchor_generation +[Dataset] cur_step=4491 phase=B_anchor_generation +[Dataset] cur_step=4491 phase=B_anchor_generation +[Dataset] cur_step=4491 phase=B_anchor_generation[Dataset] cur_step=4491 phase=B_anchor_generation + +[Dataset] cur_step=4491 phase=B_anchor_generation +[Dataset] cur_step=4491 phase=B_anchor_generation 50%|██████████████▍ | 4491/9000 [2:33:39<17:35:01, 14.04s/it] +[Dataset] cur_step=4491 phase=B_anchor_generation + {'loss': '2.811', 'grad_norm': '1.2', 'learning_rate': '2.715e-05', 'epoch': '0.1616'} + 50%|██████████████▍ | 4491/9000 [2:33:39<17:35:01, 14.04s/it] {'lm_loss': '0.001719', 'visual_loss': '2.74', 'seg_loss': '0.715', 'dino_loss': '0.9136', 'depth_loss': '0.2042', 'vggt_mse_loss': '0.2031', 'vggt_cos_loss': '0.01045', 'pidinet_loss': '0.2863', 'siglip_loss': '0.621', 'epoch': '0.1616'} + 50%|██████████████▍ | 4491/9000 [2:33:48<17:35:01, 14.04s/it][Dataset] cur_step=4492 phase=B_anchor_generation +[Dataset] cur_step=4492 phase=B_anchor_generation +[Dataset] cur_step=4492 phase=B_anchor_generation[Dataset] cur_step=4492 phase=B_anchor_generation + +[Dataset] cur_step=4492 phase=B_anchor_generation +[Dataset] cur_step=4492 phase=B_anchor_generation +[Dataset] cur_step=4492 phase=B_anchor_generation + 50%|██████████████▍ | 4492/9000 [2:34:01<20:30:52, 16.38s/it][Dataset] cur_step=4492 phase=B_anchor_generation + {'loss': '2.704', 'grad_norm': '2.672', 'learning_rate': '2.714e-05', 'epoch': '0.1616'} + 50%|██████████████▍ | 4492/9000 [2:34:01<20:30:52, 16.38s/it] {'lm_loss': '0.0002902', 'visual_loss': '2.704', 'seg_loss': '0.6408', 'dino_loss': '0.9168', 'depth_loss': '0.2651', 'vggt_mse_loss': '0.2632', 'vggt_cos_loss': '0.01886', 'pidinet_loss': '0.194', 'siglip_loss': '0.6877', 'epoch': '0.1616'} + 50%|██████████████▍ | 4492/9000 [2:34:09<20:30:52, 16.38s/it][Dataset] cur_step=4493 phase=B_anchor_generation +[Dataset] cur_step=4493 phase=B_anchor_generation +[Dataset] cur_step=4493 phase=B_anchor_generation +[Dataset] cur_step=4493 phase=B_anchor_generation +[Dataset] cur_step=4493 phase=B_anchor_generation +[Dataset] cur_step=4493 phase=B_anchor_generation +[Dataset] cur_step=4493 phase=B_anchor_generation +[Dataset] cur_step=4493 phase=B_anchor_generation + 50%|██████████████▍ | 4493/9000 [2:34:16<19:48:31, 15.82s/it] {'loss': '2.706', 'grad_norm': '1.693', 'learning_rate': '2.713e-05', 'epoch': '0.1616'} + 50%|██████████████▍ | 4493/9000 [2:34:16<19:48:31, 15.82s/it] {'lm_loss': '0.0005284', 'visual_loss': '3.154', 'seg_loss': '0.7618', 'dino_loss': '0.9096', 'depth_loss': '0.322', 'vggt_mse_loss': '0.3201', 'vggt_cos_loss': '0.0185', 'pidinet_loss': '0.2676', 'siglip_loss': '0.8934', 'epoch': '0.1616'} + 50%|██████████████▍ | 4493/9000 [2:34:31<19:48:31, 15.82s/it][Dataset] cur_step=4494 phase=B_anchor_generation +[Dataset] cur_step=4494 phase=B_anchor_generation +[Dataset] cur_step=4494 phase=B_anchor_generation[Dataset] cur_step=4494 phase=B_anchor_generation + +[Dataset] cur_step=4494 phase=B_anchor_generation + 50%|██████████████▍ | 4494/9000 [2:34:31<19:46:02, 15.79s/it][Dataset] cur_step=4494 phase=B_anchor_generation +[Dataset] cur_step=4494 phase=B_anchor_generation +[Dataset] cur_step=4494 phase=B_anchor_generation + {'loss': '2.719', 'grad_norm': '1.694', 'learning_rate': '2.712e-05', 'epoch': '0.1617'} + 50%|██████████████▍ | 4494/9000 [2:34:31<19:46:02, 15.79s/it] {'lm_loss': '0.0005385', 'visual_loss': '2.713', 'seg_loss': '0.7342', 'dino_loss': '0.9213', 'depth_loss': '0.3025', 'vggt_mse_loss': '0.3008', 'vggt_cos_loss': '0.01695', 'pidinet_loss': '0.2485', 'siglip_loss': '0.5071', 'epoch': '0.1617'} + 50%|██████████████▍ | 4494/9000 [2:34:46<19:46:02, 15.79s/it][Dataset] cur_step=4495 phase=B_anchor_generation[Dataset] cur_step=4495 phase=B_anchor_generation + + 50%|██████████████▍ | 4495/9000 [2:34:47<19:35:50, 15.66s/it][Dataset] cur_step=4495 phase=B_anchor_generation +[Dataset] cur_step=4495 phase=B_anchor_generation +[Dataset] cur_step=4495 phase=B_anchor_generation +[Dataset] cur_step=4495 phase=B_anchor_generation +[Dataset] cur_step=4495 phase=B_anchor_generation +[Dataset] cur_step=4495 phase=B_anchor_generation + {'loss': '2.849', 'grad_norm': '2.377', 'learning_rate': '2.711e-05', 'epoch': '0.1617'} + 50%|██████████████▍ | 4495/9000 [2:34:47<19:35:50, 15.66s/it] {'lm_loss': '0.000234', 'visual_loss': '2.924', 'seg_loss': '0.8092', 'dino_loss': '0.9308', 'depth_loss': '0.271', 'vggt_mse_loss': '0.2689', 'vggt_cos_loss': '0.02076', 'pidinet_loss': '0.2647', 'siglip_loss': '0.6482', 'epoch': '0.1617'} + 50%|██████████████▍ | 4495/9000 [2:34:58<19:35:50, 15.66s/it][Dataset] cur_step=4496 phase=B_anchor_generation +[Dataset] cur_step=4496 phase=B_anchor_generation +[Dataset] cur_step=4496 phase=B_anchor_generation +[Dataset] cur_step=4496 phase=B_anchor_generation[Dataset] cur_step=4496 phase=B_anchor_generation[Dataset] cur_step=4496 phase=B_anchor_generation + + + 50%|██████████████▍ | 4496/9000 [2:35:00<18:32:30, 14.82s/it][Dataset] cur_step=4496 phase=B_anchor_generation +[Dataset] cur_step=4496 phase=B_anchor_generation + {'loss': '2.774', 'grad_norm': '7.361', 'learning_rate': '2.71e-05', 'epoch': '0.1617'} + 50%|██████████████▍ | 4496/9000 [2:35:00<18:32:30, 14.82s/it] {'lm_loss': '0.0001512', 'visual_loss': '2.842', 'seg_loss': '0.7308', 'dino_loss': '0.9358', 'depth_loss': '0.2209', 'vggt_mse_loss': '0.2193', 'vggt_cos_loss': '0.01602', 'pidinet_loss': '0.2288', 'siglip_loss': '0.7262', 'epoch': '0.1617'} + 50%|██████████████▍ | 4496/9000 [2:35:07<18:32:30, 14.82s/it][Dataset] cur_step=4497 phase=B_anchor_generation +[Dataset] cur_step=4497 phase=B_anchor_generation +[Dataset] cur_step=4497 phase=B_anchor_generation[Dataset] cur_step=4497 phase=B_anchor_generation + +[Dataset] cur_step=4497 phase=B_anchor_generation +[Dataset] cur_step=4497 phase=B_anchor_generation[Dataset] cur_step=4497 phase=B_anchor_generation + + 50%|██████████████▍ | 4497/9000 [2:35:08<16:14:42, 12.99s/it][Dataset] cur_step=4497 phase=B_anchor_generation + {'loss': '2.825', 'grad_norm': '2.258', 'learning_rate': '2.709e-05', 'epoch': '0.1618'} + 50%|██████████████▍ | 4497/9000 [2:35:08<16:14:42, 12.99s/it] {'lm_loss': '0.0001375', 'visual_loss': '2.657', 'seg_loss': '0.6807', 'dino_loss': '0.9117', 'depth_loss': '0.2815', 'vggt_mse_loss': '0.28', 'vggt_cos_loss': '0.01492', 'pidinet_loss': '0.2046', 'siglip_loss': '0.5783', 'epoch': '0.1618'} + 50%|██████████████▍ | 4497/9000 [2:35:11<16:14:42, 12.99s/it][Dataset] cur_step=4498 phase=B_anchor_generation[Dataset] cur_step=4498 phase=B_anchor_generation + +[Dataset] cur_step=4498 phase=B_anchor_generation[Dataset] cur_step=4498 phase=B_anchor_generation + +[Dataset] cur_step=4498 phase=B_anchor_generation[Dataset] cur_step=4498 phase=B_anchor_generation + + 50%|██████████████▍ | 4498/9000 [2:35:12<12:48:01, 10.24s/it][Dataset] cur_step=4498 phase=B_anchor_generation +[Dataset] cur_step=4498 phase=B_anchor_generation + {'loss': '2.654', 'grad_norm': '3.229', 'learning_rate': '2.708e-05', 'epoch': '0.1618'} + 50%|██████████████▍ | 4498/9000 [2:35:12<12:48:01, 10.24s/it] {'lm_loss': '0.0002981', 'visual_loss': '2.862', 'seg_loss': '0.8176', 'dino_loss': '0.9249', 'depth_loss': '0.3669', 'vggt_mse_loss': '0.3645', 'vggt_cos_loss': '0.02304', 'pidinet_loss': '0.2165', 'siglip_loss': '0.5366', 'epoch': '0.1618'} + 50%|██████████████▍ | 4498/9000 [2:35:16<12:48:01, 10.24s/it][Dataset] cur_step=4499 phase=B_anchor_generation +[Dataset] cur_step=4499 phase=B_anchor_generation +[Dataset] cur_step=4499 phase=B_anchor_generation +[Dataset] cur_step=4499 phase=B_anchor_generation +[Dataset] cur_step=4499 phase=B_anchor_generation +[Dataset] cur_step=4499 phase=B_anchor_generation +[Dataset] cur_step=4499 phase=B_anchor_generation + 50%|██████████████▍ | 4499/9000 [2:35:16<10:25:28, 8.34s/it][Dataset] cur_step=4499 phase=B_anchor_generation + {'loss': '2.665', 'grad_norm': '1.714', 'learning_rate': '2.707e-05', 'epoch': '0.1619'} + 50%|██████████████▍ | 4499/9000 [2:35:16<10:25:28, 8.34s/it] {'lm_loss': '0.0002232', 'visual_loss': '2.963', 'seg_loss': '0.794', 'dino_loss': '0.8983', 'depth_loss': '0.4433', 'vggt_mse_loss': '0.4404', 'vggt_cos_loss': '0.02914', 'pidinet_loss': '0.2737', 'siglip_loss': '0.5532', 'epoch': '0.1619'} + 50%|██████████████▍ | 4499/9000 [2:35:19<10:25:28, 8.34s/it][Dataset] cur_step=4500 phase=B_anchor_generation +[Dataset] cur_step=4500 phase=B_anchor_generation[Dataset] cur_step=4500 phase=B_anchor_generation + +[Dataset] cur_step=4500 phase=B_anchor_generation[Dataset] cur_step=4500 phase=B_anchor_generation + +[Dataset] cur_step=4500 phase=B_anchor_generation +[Dataset] cur_step=4500 phase=B_anchor_generation +[Dataset] cur_step=4500 phase=B_anchor_generation +[cvbench] step=4500 metrics={"eval/cvbench_2d_accuracy": 0.508, "eval/cvbench_2d_count_accuracy": 0.22627737226277372, "eval/cvbench_2d_relation_accuracy": 0.8495575221238938, "eval/cvbench_2d_task_macro_accuracy": 0.5379174471933338, "eval/cvbench_3d_accuracy": 0.868, "eval/cvbench_3d_depth_accuracy": 0.936, "eval/cvbench_3d_distance_accuracy": 0.8, "eval/cvbench_3d_task_macro_accuracy": 0.8680000000000001, "eval/cvbench_accuracy": 0.688, "eval/cvbench_covt_answer_tag_rate": 0.0, "eval/cvbench_covt_any_anchor_rate": 0.23, "eval/cvbench_covt_depth_tokens_mean": 0.894, "eval/cvbench_covt_dino_tokens_mean": 0.896, "eval/cvbench_covt_pidinet_tokens_mean": 0.88, "eval/cvbench_covt_sam_tokens_mean": 1.792, "eval/cvbench_covt_siglip_tokens_mean": 1.026, "eval/cvbench_covt_think_rate": 0.0, "eval/cvbench_errors": 0.0, "eval/cvbench_parse_rate": 0.776, "eval/cvbench_samples": 500.0, "eval/cvbench_seconds": 46.659413853194565, "eval/cvbench_task_macro_accuracy": 0.702958723596667} + 50%|██████████████▌ | 4500/9000 [2:36:10<27:40:11, 22.14s/it] {'loss': '2.752', 'grad_norm': '8.254', 'learning_rate': '2.706e-05', 'epoch': '0.1619'} + 50%|██████████████▌ | 4500/9000 [2:36:10<27:40:11, 22.14s/it] {'lm_loss': '0.0002481', 'visual_loss': '2.557', 'seg_loss': '0.6761', 'dino_loss': '0.8845', 'depth_loss': '0.235', 'vggt_mse_loss': '0.2338', 'vggt_cos_loss': '0.01211', 'pidinet_loss': '0.2334', 'siglip_loss': '0.5279', 'epoch': '0.1619'} + 50%|██████████████▌ | 4500/9000 [2:36:14<27:40:11, 22.14s/it][Dataset] cur_step=4501 phase=B_anchor_generation +[Dataset] cur_step=4501 phase=B_anchor_generation[Dataset] cur_step=4501 phase=B_anchor_generation + +[Dataset] cur_step=4501 phase=B_anchor_generation +[Dataset] cur_step=4501 phase=B_anchor_generation + 50%|██████████████▌ | 4501/9000 [2:36:16<21:19:08, 17.06s/it][Dataset] cur_step=4501 phase=B_anchor_generation +[Dataset] cur_step=4501 phase=B_anchor_generation +[Dataset] cur_step=4501 phase=B_anchor_generation + {'loss': '2.743', 'grad_norm': '2.151', 'learning_rate': '2.706e-05', 'epoch': '0.1619'} + 50%|██████████████▌ | 4501/9000 [2:36:16<21:19:08, 17.06s/it] {'lm_loss': '0.0002085', 'visual_loss': '2.987', 'seg_loss': '0.849', 'dino_loss': '0.9378', 'depth_loss': '0.3669', 'vggt_mse_loss': '0.3639', 'vggt_cos_loss': '0.03041', 'pidinet_loss': '0.2576', 'siglip_loss': '0.5754', 'epoch': '0.1619'} + 50%|██████████████▌ | 4501/9000 [2:36:19<21:19:08, 17.06s/it][Dataset] cur_step=4502 phase=B_anchor_generation +[Dataset] cur_step=4502 phase=B_anchor_generation +[Dataset] cur_step=4502 phase=B_anchor_generation +[Dataset] cur_step=4502 phase=B_anchor_generation +[Dataset] cur_step=4502 phase=B_anchor_generation + 50%|██████████████▌ | 4502/9000 [2:36:22<17:20:58, 13.89s/it][Dataset] cur_step=4502 phase=B_anchor_generation[Dataset] cur_step=4502 phase=B_anchor_generation + +[Dataset] cur_step=4502 phase=B_anchor_generation + {'loss': '2.844', 'grad_norm': '1.987', 'learning_rate': '2.705e-05', 'epoch': '0.162'} + 50%|██████████████▌ | 4502/9000 [2:36:22<17:20:58, 13.89s/it] {'lm_loss': '0.0001519', 'visual_loss': '2.764', 'seg_loss': '0.7239', 'dino_loss': '0.8926', 'depth_loss': '0.2569', 'vggt_mse_loss': '0.2549', 'vggt_cos_loss': '0.02002', 'pidinet_loss': '0.2424', 'siglip_loss': '0.6483', 'epoch': '0.162'} + 50%|██████████████▌ | 4502/9000 [2:36:25<17:20:58, 13.89s/it][Dataset] cur_step=4503 phase=B_anchor_generation +[Dataset] cur_step=4503 phase=B_anchor_generation +[Dataset] cur_step=4503 phase=B_anchor_generation +[Dataset] cur_step=4503 phase=B_anchor_generation +[Dataset] cur_step=4503 phase=B_anchor_generation +[Dataset] cur_step=4503 phase=B_anchor_generation + 50%|██████████████▌ | 4503/9000 [2:36:29<14:53:55, 11.93s/it][Dataset] cur_step=4503 phase=B_anchor_generation +[Dataset] cur_step=4503 phase=B_anchor_generation + {'loss': '2.732', 'grad_norm': '1.607', 'learning_rate': '2.704e-05', 'epoch': '0.162'} + 50%|██████████████▌ | 4503/9000 [2:36:29<14:53:55, 11.93s/it] {'lm_loss': '0.0003058', 'visual_loss': '2.803', 'seg_loss': '0.8162', 'dino_loss': '0.921', 'depth_loss': '0.2476', 'vggt_mse_loss': '0.2458', 'vggt_cos_loss': '0.01749', 'pidinet_loss': '0.3004', 'siglip_loss': '0.5179', 'epoch': '0.162'} + 50%|██████████████▌ | 4503/9000 [2:36:33<14:53:55, 11.93s/it][Dataset] cur_step=4504 phase=B_anchor_generation[Dataset] cur_step=4504 phase=B_anchor_generation + +[Dataset] cur_step=4504 phase=B_anchor_generation +[Dataset] cur_step=4504 phase=B_anchor_generation + 50%|██████████████▌ | 4504/9000 [2:36:36<12:52:29, 10.31s/it][Dataset] cur_step=4504 phase=B_anchor_generation +[Dataset] cur_step=4504 phase=B_anchor_generation[Dataset] cur_step=4504 phase=B_anchor_generation + +[Dataset] cur_step=4504 phase=B_anchor_generation + {'loss': '2.812', 'grad_norm': '5.392', 'learning_rate': '2.703e-05', 'epoch': '0.162'} + 50%|██████████████▌ | 4504/9000 [2:36:36<12:52:29, 10.31s/it] {'lm_loss': '0.0001673', 'visual_loss': '2.718', 'seg_loss': '0.7825', 'dino_loss': '0.9281', 'depth_loss': '0.2654', 'vggt_mse_loss': '0.2637', 'vggt_cos_loss': '0.01732', 'pidinet_loss': '0.2263', 'siglip_loss': '0.5161', 'epoch': '0.162'} + 50%|██████████████▌ | 4504/9000 [2:36:39<12:52:29, 10.31s/it][Dataset] cur_step=4505 phase=B_anchor_generation +[Dataset] cur_step=4505 phase=B_anchor_generation +[Dataset] cur_step=4505 phase=B_anchor_generation +[Dataset] cur_step=4505 phase=B_anchor_generation +[Dataset] cur_step=4505 phase=B_anchor_generation + 50%|██████████████▌ | 4505/9000 [2:36:44<11:54:44, 9.54s/it][Dataset] cur_step=4505 phase=B_anchor_generation +[Dataset] cur_step=4505 phase=B_anchor_generation +[Dataset] cur_step=4505 phase=B_anchor_generation + {'loss': '2.667', 'grad_norm': '1.833', 'learning_rate': '2.702e-05', 'epoch': '0.1621'} + 50%|██████████████▌ | 4505/9000 [2:36:44<11:54:44, 9.54s/it] {'lm_loss': '0.0001446', 'visual_loss': '2.809', 'seg_loss': '0.8191', 'dino_loss': '0.9081', 'depth_loss': '0.2358', 'vggt_mse_loss': '0.2339', 'vggt_cos_loss': '0.01868', 'pidinet_loss': '0.2778', 'siglip_loss': '0.5678', 'epoch': '0.1621'} + 50%|██████████████▌ | 4505/9000 [2:36:47<11:54:44, 9.54s/it][Dataset] cur_step=4506 phase=B_anchor_generation[Dataset] cur_step=4506 phase=B_anchor_generation +[Dataset] cur_step=4506 phase=B_anchor_generation + +[Dataset] cur_step=4506 phase=B_anchor_generation +[Dataset] cur_step=4506 phase=B_anchor_generation[Dataset] cur_step=4506 phase=B_anchor_generation + + 50%|██████████████▌ | 4506/9000 [2:36:54<12:21:51, 9.90s/it][Dataset] cur_step=4506 phase=B_anchor_generation +[Dataset] cur_step=4506 phase=B_anchor_generation + {'loss': '2.862', 'grad_norm': '10.21', 'learning_rate': '2.701e-05', 'epoch': '0.1621'} + 50%|██████████████▌ | 4506/9000 [2:36:54<12:21:51, 9.90s/it] {'lm_loss': '0.000282', 'visual_loss': '3.118', 'seg_loss': '0.885', 'dino_loss': '0.8786', 'depth_loss': '0.1921', 'vggt_mse_loss': '0.1906', 'vggt_cos_loss': '0.01429', 'pidinet_loss': '0.2396', 'siglip_loss': '0.9231', 'epoch': '0.1621'} + 50%|██████████████▌ | 4506/9000 [2:36:57<12:21:51, 9.90s/it][Dataset] cur_step=4507 phase=B_anchor_generation +[Dataset] cur_step=4507 phase=B_anchor_generation +[Dataset] cur_step=4507 phase=B_anchor_generation +[Dataset] cur_step=4507 phase=B_anchor_generation +[Dataset] cur_step=4507 phase=B_anchor_generation +[Dataset] cur_step=4507 phase=B_anchor_generation +[Dataset] cur_step=4507 phase=B_anchor_generation +[Dataset] cur_step=4507 phase=B_anchor_generation + 50%|██████████████▌ | 4507/9000 [2:37:08<13:53:29, 11.13s/it] {'loss': '2.733', 'grad_norm': '2.473', 'learning_rate': '2.7e-05', 'epoch': '0.1621'} + 50%|██████████████▌ | 4507/9000 [2:37:08<13:53:29, 11.13s/it] {'lm_loss': '0.0002784', 'visual_loss': '2.907', 'seg_loss': '0.7819', 'dino_loss': '0.9275', 'depth_loss': '0.3242', 'vggt_mse_loss': '0.3217', 'vggt_cos_loss': '0.02514', 'pidinet_loss': '0.2342', 'siglip_loss': '0.6387', 'epoch': '0.1621'} + 50%|██████████████▌ | 4507/9000 [2:37:12<13:53:29, 11.13s/it][Dataset] cur_step=4508 phase=B_anchor_generation +[Dataset] cur_step=4508 phase=B_anchor_generation +[Dataset] cur_step=4508 phase=B_anchor_generation +[Dataset] cur_step=4508 phase=B_anchor_generation +[Dataset] cur_step=4508 phase=B_anchor_generation +[Dataset] cur_step=4508 phase=B_anchor_generation +[Dataset] cur_step=4508 phase=B_anchor_generation +[Dataset] cur_step=4508 phase=B_anchor_generation + 50%|██████████████▌ | 4508/9000 [2:37:19<13:53:13, 11.13s/it] {'loss': '2.717', 'grad_norm': '3.243', 'learning_rate': '2.699e-05', 'epoch': '0.1622'} + 50%|██████████████▌ | 4508/9000 [2:37:19<13:53:13, 11.13s/it] {'lm_loss': '0.0002502', 'visual_loss': '2.532', 'seg_loss': '0.6382', 'dino_loss': '0.9099', 'depth_loss': '0.2754', 'vggt_mse_loss': '0.2738', 'vggt_cos_loss': '0.01543', 'pidinet_loss': '0.2381', 'siglip_loss': '0.47', 'epoch': '0.1622'} + 50%|██████████████▌ | 4508/9000 [2:37:23<13:53:13, 11.13s/it][Dataset] cur_step=4509 phase=B_anchor_generation +[Dataset] cur_step=4509 phase=B_anchor_generation[Dataset] cur_step=4509 phase=B_anchor_generation + +[Dataset] cur_step=4509 phase=B_anchor_generation +[Dataset] cur_step=4509 phase=B_anchor_generation +[Dataset] cur_step=4509 phase=B_anchor_generation +[Dataset] cur_step=4509 phase=B_anchor_generation +[Dataset] cur_step=4509 phase=B_anchor_generation + 50%|██████████████▌ | 4509/9000 [2:37:32<14:21:02, 11.50s/it] {'loss': '2.858', 'grad_norm': '1.647', 'learning_rate': '2.698e-05', 'epoch': '0.1622'} + 50%|██████████████▌ | 4509/9000 [2:37:32<14:21:02, 11.50s/it] {'lm_loss': '0.0001376', 'visual_loss': '2.643', 'seg_loss': '0.616', 'dino_loss': '0.9299', 'depth_loss': '0.2393', 'vggt_mse_loss': '0.2382', 'vggt_cos_loss': '0.01085', 'pidinet_loss': '0.2185', 'siglip_loss': '0.639', 'epoch': '0.1622'} + 50%|██████████████▌ | 4509/9000 [2:37:35<14:21:02, 11.50s/it][Dataset] cur_step=4510 phase=B_anchor_generation +[Dataset] cur_step=4510 phase=B_anchor_generation[Dataset] cur_step=4510 phase=B_anchor_generation + +[Dataset] cur_step=4510 phase=B_anchor_generation +[Dataset] cur_step=4510 phase=B_anchor_generation +[Dataset] cur_step=4510 phase=B_anchor_generation +[Dataset] cur_step=4510 phase=B_anchor_generation + 50%|██████████████▌ | 4510/9000 [2:37:42<13:41:50, 10.98s/it][Dataset] cur_step=4510 phase=B_anchor_generation + {'loss': '2.794', 'grad_norm': '1.633', 'learning_rate': '2.697e-05', 'epoch': '0.1622'} + 50%|██████████████▌ | 4510/9000 [2:37:42<13:41:50, 10.98s/it] {'lm_loss': '0.0001852', 'visual_loss': '2.762', 'seg_loss': '0.7207', 'dino_loss': '0.8914', 'depth_loss': '0.2548', 'vggt_mse_loss': '0.2532', 'vggt_cos_loss': '0.01598', 'pidinet_loss': '0.2682', 'siglip_loss': '0.6265', 'epoch': '0.1622'} + 50%|██████████████▌ | 4510/9000 [2:37:45<13:41:50, 10.98s/it][Dataset] cur_step=4511 phase=B_anchor_generation +[Dataset] cur_step=4511 phase=B_anchor_generation +[Dataset] cur_step=4511 phase=B_anchor_generation +[Dataset] cur_step=4511 phase=B_anchor_generation +[Dataset] cur_step=4511 phase=B_anchor_generation +[Dataset] cur_step=4511 phase=B_anchor_generation +[Dataset] cur_step=4511 phase=B_anchor_generation +[Dataset] cur_step=4511 phase=B_anchor_generation + 50%|██████████████▌ | 4511/9000 [2:37:53<13:41:30, 10.98s/it] {'loss': '2.749', 'grad_norm': '1.646', 'learning_rate': '2.696e-05', 'epoch': '0.1623'} + 50%|██████████████▌ | 4511/9000 [2:37:53<13:41:30, 10.98s/it] {'lm_loss': '0.0003443', 'visual_loss': '2.697', 'seg_loss': '0.5908', 'dino_loss': '0.9066', 'depth_loss': '0.2679', 'vggt_mse_loss': '0.2664', 'vggt_cos_loss': '0.01511', 'pidinet_loss': '0.2363', 'siglip_loss': '0.6949', 'epoch': '0.1623'} + 50%|██████████████▌ | 4511/9000 [2:38:00<13:41:30, 10.98s/it][Dataset] cur_step=4512 phase=B_anchor_generation +[Dataset] cur_step=4512 phase=B_anchor_generation +[Dataset] cur_step=4512 phase=B_anchor_generation +[Dataset] cur_step=4512 phase=B_anchor_generation +[Dataset] cur_step=4512 phase=B_anchor_generation +[Dataset] cur_step=4512 phase=B_anchor_generation +[Dataset] cur_step=4512 phase=B_anchor_generation +[Dataset] cur_step=4512 phase=B_anchor_generation + 50%|██████████████▌ | 4512/9000 [2:38:06<14:34:09, 11.69s/it] {'loss': '2.752', 'grad_norm': '1.409', 'learning_rate': '2.695e-05', 'epoch': '0.1623'} + 50%|██████████████▌ | 4512/9000 [2:38:06<14:34:09, 11.69s/it] {'lm_loss': '0.0002541', 'visual_loss': '2.799', 'seg_loss': '0.8247', 'dino_loss': '0.9073', 'depth_loss': '0.2368', 'vggt_mse_loss': '0.2354', 'vggt_cos_loss': '0.01415', 'pidinet_loss': '0.2266', 'siglip_loss': '0.6031', 'epoch': '0.1623'} + 50%|██████████████▌ | 4512/9000 [2:38:09<14:34:09, 11.69s/it][Dataset] cur_step=4513 phase=B_anchor_generation +[Dataset] cur_step=4513 phase=B_anchor_generation +[Dataset] cur_step=4513 phase=B_anchor_generation[Dataset] cur_step=4513 phase=B_anchor_generation + +[Dataset] cur_step=4513 phase=B_anchor_generation +[Dataset] cur_step=4513 phase=B_anchor_generation +[Dataset] cur_step=4513 phase=B_anchor_generation +[Dataset] cur_step=4513 phase=B_anchor_generation + 50%|██████████████▌ | 4513/9000 [2:38:15<13:45:11, 11.03s/it] {'loss': '2.778', 'grad_norm': '5.885', 'learning_rate': '2.695e-05', 'epoch': '0.1624'} + 50%|██████████████▌ | 4513/9000 [2:38:15<13:45:11, 11.03s/it] {'lm_loss': '7.723e-05', 'visual_loss': '2.929', 'seg_loss': '0.7754', 'dino_loss': '0.9172', 'depth_loss': '0.3371', 'vggt_mse_loss': '0.3344', 'vggt_cos_loss': '0.02723', 'pidinet_loss': '0.228', 'siglip_loss': '0.6719', 'epoch': '0.1624'} + 50%|██████████████▌ | 4513/9000 [2:38:18<13:45:11, 11.03s/it][Dataset] cur_step=4514 phase=B_anchor_generation +[Dataset] cur_step=4514 phase=B_anchor_generation +[Dataset] cur_step=4514 phase=B_anchor_generation +[Dataset] cur_step=4514 phase=B_anchor_generation +[Dataset] cur_step=4514 phase=B_anchor_generation +[Dataset] cur_step=4514 phase=B_anchor_generation +[Dataset] cur_step=4514 phase=B_anchor_generation + 50%|██████████████▌ | 4514/9000 [2:38:22<12:07:58, 9.74s/it][Dataset] cur_step=4514 phase=B_anchor_generation + {'loss': '2.755', 'grad_norm': '1.082', 'learning_rate': '2.694e-05', 'epoch': '0.1624'} + 50%|██████████████▌ | 4514/9000 [2:38:22<12:07:58, 9.74s/it] {'lm_loss': '0.0001058', 'visual_loss': '2.77', 'seg_loss': '0.726', 'dino_loss': '0.9287', 'depth_loss': '0.3598', 'vggt_mse_loss': '0.3571', 'vggt_cos_loss': '0.02712', 'pidinet_loss': '0.2108', 'siglip_loss': '0.5448', 'epoch': '0.1624'} + 50%|██████████████▌ | 4514/9000 [2:38:25<12:07:58, 9.74s/it][Dataset] cur_step=4515 phase=B_anchor_generation +[Dataset] cur_step=4515 phase=B_anchor_generation[Dataset] cur_step=4515 phase=B_anchor_generation + +[Dataset] cur_step=4515 phase=B_anchor_generation +[Dataset] cur_step=4515 phase=B_anchor_generation +[Dataset] cur_step=4515 phase=B_anchor_generation[Dataset] cur_step=4515 phase=B_anchor_generation + +[Dataset] cur_step=4515 phase=B_anchor_generation + 50%|███████████████ | 4515/9000 [2:38:26<9:57:19, 7.99s/it] {'loss': '2.713', 'grad_norm': '1.722', 'learning_rate': '2.693e-05', 'epoch': '0.1624'} + 50%|███████████████ | 4515/9000 [2:38:26<9:57:19, 7.99s/it] {'lm_loss': '0.0001361', 'visual_loss': '3.188', 'seg_loss': '0.8472', 'dino_loss': '0.8949', 'depth_loss': '0.3876', 'vggt_mse_loss': '0.3843', 'vggt_cos_loss': '0.03315', 'pidinet_loss': '0.3393', 'siglip_loss': '0.7192', 'epoch': '0.1624'} + 50%|███████████████ | 4515/9000 [2:38:29<9:57:19, 7.99s/it][Dataset] cur_step=4516 phase=B_anchor_generation +[Dataset] cur_step=4516 phase=B_anchor_generation +[Dataset] cur_step=4516 phase=B_anchor_generation[Dataset] cur_step=4516 phase=B_anchor_generation + +[Dataset] cur_step=4516 phase=B_anchor_generation +[Dataset] cur_step=4516 phase=B_anchor_generation +[Dataset] cur_step=4516 phase=B_anchor_generation +[Dataset] cur_step=4516 phase=B_anchor_generation + 50%|███████████████ | 4516/9000 [2:38:30<8:22:12, 6.72s/it] {'loss': '2.787', 'grad_norm': '1.817', 'learning_rate': '2.692e-05', 'epoch': '0.1625'} + 50%|███████████████ | 4516/9000 [2:38:30<8:22:12, 6.72s/it] {'lm_loss': '0.0001393', 'visual_loss': '2.509', 'seg_loss': '0.6802', 'dino_loss': '0.906', 'depth_loss': '0.3139', 'vggt_mse_loss': '0.3121', 'vggt_cos_loss': '0.01791', 'pidinet_loss': '0.1988', 'siglip_loss': '0.4097', 'epoch': '0.1625'} + 50%|███████████████ | 4516/9000 [2:38:33<8:22:12, 6.72s/it][Dataset] cur_step=4517 phase=B_anchor_generation +[Dataset] cur_step=4517 phase=B_anchor_generation[Dataset] cur_step=4517 phase=B_anchor_generation + +[Dataset] cur_step=4517 phase=B_anchor_generation +[Dataset] cur_step=4517 phase=B_anchor_generation +[Dataset] cur_step=4517 phase=B_anchor_generation +[Dataset] cur_step=4517 phase=B_anchor_generation +[Dataset] cur_step=4517 phase=B_anchor_generation + 50%|███████████████ | 4517/9000 [2:38:33<7:12:19, 5.79s/it] {'loss': '2.772', 'grad_norm': '33.69', 'learning_rate': '2.691e-05', 'epoch': '0.1625'} + 50%|███████████████ | 4517/9000 [2:38:33<7:12:19, 5.79s/it] {'lm_loss': '0.0001413', 'visual_loss': '2.818', 'seg_loss': '0.7874', 'dino_loss': '0.9353', 'depth_loss': '0.3132', 'vggt_mse_loss': '0.3106', 'vggt_cos_loss': '0.02554', 'pidinet_loss': '0.2348', 'siglip_loss': '0.5474', 'epoch': '0.1625'} + 50%|███████████████ | 4517/9000 [2:38:37<7:12:19, 5.79s/it][Dataset] cur_step=4518 phase=B_anchor_generation +[Dataset] cur_step=4518 phase=B_anchor_generation[Dataset] cur_step=4518 phase=B_anchor_generation + +[Dataset] cur_step=4518 phase=B_anchor_generation +[Dataset] cur_step=4518 phase=B_anchor_generation +[Dataset] cur_step=4518 phase=B_anchor_generation +[Dataset] cur_step=4518 phase=B_anchor_generation +[Dataset] cur_step=4518 phase=B_anchor_generation + 50%|███████████████ | 4518/9000 [2:38:37<6:27:19, 5.19s/it] {'loss': '2.76', 'grad_norm': '2.529', 'learning_rate': '2.69e-05', 'epoch': '0.1625'} + 50%|███████████████ | 4518/9000 [2:38:37<6:27:19, 5.19s/it] {'lm_loss': '0.0001109', 'visual_loss': '2.864', 'seg_loss': '0.5763', 'dino_loss': '0.9097', 'depth_loss': '0.4889', 'vggt_mse_loss': '0.4851', 'vggt_cos_loss': '0.03794', 'pidinet_loss': '0.2391', 'siglip_loss': '0.65', 'epoch': '0.1625'} + 50%|███████████████ | 4518/9000 [2:38:41<6:27:19, 5.19s/it][Dataset] cur_step=4519 phase=B_anchor_generation +[Dataset] cur_step=4519 phase=B_anchor_generation +[Dataset] cur_step=4519 phase=B_anchor_generation +[Dataset] cur_step=4519 phase=B_anchor_generation +[Dataset] cur_step=4519 phase=B_anchor_generation +[Dataset] cur_step=4519 phase=B_anchor_generation +[Dataset] cur_step=4519 phase=B_anchor_generation +[Dataset] cur_step=4519 phase=B_anchor_generation + 50%|███████████████ | 4519/9000 [2:38:41<5:56:28, 4.77s/it] {'loss': '2.801', 'grad_norm': '1.699', 'learning_rate': '2.689e-05', 'epoch': '0.1626'} + 50%|███████████████ | 4519/9000 [2:38:41<5:56:28, 4.77s/it] {'lm_loss': '0.0001564', 'visual_loss': '2.769', 'seg_loss': '0.7767', 'dino_loss': '0.9455', 'depth_loss': '0.202', 'vggt_mse_loss': '0.2008', 'vggt_cos_loss': '0.01168', 'pidinet_loss': '0.227', 'siglip_loss': '0.6178', 'epoch': '0.1626'} + 50%|███████████████ | 4519/9000 [2:38:44<5:56:28, 4.77s/it][Dataset] cur_step=4520 phase=B_anchor_generation +[Dataset] cur_step=4520 phase=B_anchor_generation +[Dataset] cur_step=4520 phase=B_anchor_generation +[Dataset] cur_step=4520 phase=B_anchor_generation +[Dataset] cur_step=4520 phase=B_anchor_generation +[Dataset] cur_step=4520 phase=B_anchor_generation +[Dataset] cur_step=4520 phase=B_anchor_generation +[Dataset] cur_step=4520 phase=B_anchor_generation + 50%|███████████████ | 4520/9000 [2:38:45<5:34:37, 4.48s/it] {'loss': '2.743', 'grad_norm': '2.567', 'learning_rate': '2.688e-05', 'epoch': '0.1626'} + 50%|███████████████ | 4520/9000 [2:38:45<5:34:37, 4.48s/it] {'lm_loss': '0.0001396', 'visual_loss': '2.807', 'seg_loss': '0.8056', 'dino_loss': '0.8773', 'depth_loss': '0.2669', 'vggt_mse_loss': '0.2657', 'vggt_cos_loss': '0.0119', 'pidinet_loss': '0.2566', 'siglip_loss': '0.6004', 'epoch': '0.1626'} + 50%|███████████████ | 4520/9000 [2:38:48<5:34:37, 4.48s/it][Dataset] cur_step=4521 phase=B_anchor_generation[Dataset] cur_step=4521 phase=B_anchor_generation + +[Dataset] cur_step=4521 phase=B_anchor_generation +[Dataset] cur_step=4521 phase=B_anchor_generation +[Dataset] cur_step=4521 phase=B_anchor_generation +[Dataset] cur_step=4521 phase=B_anchor_generation +[Dataset] cur_step=4521 phase=B_anchor_generation +[Dataset] cur_step=4521 phase=B_anchor_generation + 50%|███████████████ | 4521/9000 [2:38:48<5:11:44, 4.18s/it] {'loss': '2.791', 'grad_norm': '1.538', 'learning_rate': '2.687e-05', 'epoch': '0.1626'} + 50%|███████████████ | 4521/9000 [2:38:48<5:11:44, 4.18s/it] {'lm_loss': '0.0001776', 'visual_loss': '2.89', 'seg_loss': '0.7215', 'dino_loss': '0.9232', 'depth_loss': '0.2241', 'vggt_mse_loss': '0.2228', 'vggt_cos_loss': '0.01369', 'pidinet_loss': '0.2587', 'siglip_loss': '0.7627', 'epoch': '0.1626'} + 50%|███████████████ | 4521/9000 [2:38:52<5:11:44, 4.18s/it][Dataset] cur_step=4522 phase=B_anchor_generation +[Dataset] cur_step=4522 phase=B_anchor_generation +[Dataset] cur_step=4522 phase=B_anchor_generation +[Dataset] cur_step=4522 phase=B_anchor_generation +[Dataset] cur_step=4522 phase=B_anchor_generation +[Dataset] cur_step=4522 phase=B_anchor_generation[Dataset] cur_step=4522 phase=B_anchor_generation + +[Dataset] cur_step=4522 phase=B_anchor_generation + 50%|███████████████ | 4522/9000 [2:38:52<5:08:06, 4.13s/it] {'loss': '2.739', 'grad_norm': '1.946', 'learning_rate': '2.686e-05', 'epoch': '0.1627'} + 50%|███████████████ | 4522/9000 [2:38:52<5:08:06, 4.13s/it] {'lm_loss': '0.0001695', 'visual_loss': '2.609', 'seg_loss': '0.739', 'dino_loss': '0.91', 'depth_loss': '0.1802', 'vggt_mse_loss': '0.1788', 'vggt_cos_loss': '0.01389', 'pidinet_loss': '0.2628', 'siglip_loss': '0.5174', 'epoch': '0.1627'} + 50%|███████████████ | 4522/9000 [2:38:55<5:08:06, 4.13s/it][Dataset] cur_step=4523 phase=B_anchor_generation +[Dataset] cur_step=4523 phase=B_anchor_generation +[Dataset] cur_step=4523 phase=B_anchor_generation +[Dataset] cur_step=4523 phase=B_anchor_generation +[Dataset] cur_step=4523 phase=B_anchor_generation +[Dataset] cur_step=4523 phase=B_anchor_generation +[Dataset] cur_step=4523 phase=B_anchor_generation +[Dataset] cur_step=4523 phase=B_anchor_generation + 50%|███████████████ | 4523/9000 [2:38:56<5:01:59, 4.05s/it] {'loss': '2.763', 'grad_norm': '1.684', 'learning_rate': '2.685e-05', 'epoch': '0.1627'} + 50%|███████████████ | 4523/9000 [2:38:56<5:01:59, 4.05s/it] {'lm_loss': '0.000105', 'visual_loss': '2.888', 'seg_loss': '0.7969', 'dino_loss': '0.9033', 'depth_loss': '0.2792', 'vggt_mse_loss': '0.2772', 'vggt_cos_loss': '0.01974', 'pidinet_loss': '0.2427', 'siglip_loss': '0.6656', 'epoch': '0.1627'} + 50%|███████████████ | 4523/9000 [2:38:59<5:01:59, 4.05s/it][Dataset] cur_step=4524 phase=B_anchor_generation +[Dataset] cur_step=4524 phase=B_anchor_generation +[Dataset] cur_step=4524 phase=B_anchor_generation +[Dataset] cur_step=4524 phase=B_anchor_generation +[Dataset] cur_step=4524 phase=B_anchor_generation +[Dataset] cur_step=4524 phase=B_anchor_generation +[Dataset] cur_step=4524 phase=B_anchor_generation +[Dataset] cur_step=4524 phase=B_anchor_generation + 50%|███████████████ | 4524/9000 [2:39:00<5:06:15, 4.11s/it] {'loss': '2.75', 'grad_norm': '1.738', 'learning_rate': '2.684e-05', 'epoch': '0.1628'} + 50%|███████████████ | 4524/9000 [2:39:00<5:06:15, 4.11s/it] {'lm_loss': '0.000127', 'visual_loss': '2.936', 'seg_loss': '0.7654', 'dino_loss': '0.9124', 'depth_loss': '0.2873', 'vggt_mse_loss': '0.2854', 'vggt_cos_loss': '0.01938', 'pidinet_loss': '0.2502', 'siglip_loss': '0.7204', 'epoch': '0.1628'} + 50%|███████████████ | 4524/9000 [2:39:04<5:06:15, 4.11s/it][Dataset] cur_step=4525 phase=B_anchor_generation +[Dataset] cur_step=4525 phase=B_anchor_generation +[Dataset] cur_step=4525 phase=B_anchor_generation +[Dataset] cur_step=4525 phase=B_anchor_generation +[Dataset] cur_step=4525 phase=B_anchor_generation +[Dataset] cur_step=4525 phase=B_anchor_generation +[Dataset] cur_step=4525 phase=B_anchor_generation +[Dataset] cur_step=4525 phase=B_anchor_generation + 50%|███████████████ | 4525/9000 [2:39:05<5:16:05, 4.24s/it] {'loss': '2.725', 'grad_norm': '1.939', 'learning_rate': '2.684e-05', 'epoch': '0.1628'} + 50%|███████████████ | 4525/9000 [2:39:05<5:16:05, 4.24s/it] {'lm_loss': '0.0003032', 'visual_loss': '2.71', 'seg_loss': '0.6933', 'dino_loss': '0.8759', 'depth_loss': '0.2406', 'vggt_mse_loss': '0.2391', 'vggt_cos_loss': '0.01567', 'pidinet_loss': '0.2984', 'siglip_loss': '0.6015', 'epoch': '0.1628'} + 50%|███████████████ | 4525/9000 [2:39:08<5:16:05, 4.24s/it][Dataset] cur_step=4526 phase=B_anchor_generation +[Dataset] cur_step=4526 phase=B_anchor_generation +[Dataset] cur_step=4526 phase=B_anchor_generation +[Dataset] cur_step=4526 phase=B_anchor_generation +[Dataset] cur_step=4526 phase=B_anchor_generation +[Dataset] cur_step=4526 phase=B_anchor_generation +[Dataset] cur_step=4526 phase=B_anchor_generation +[Dataset] cur_step=4526 phase=B_anchor_generation + 50%|███████████████ | 4526/9000 [2:39:09<5:10:22, 4.16s/it] {'loss': '2.821', 'grad_norm': '2.266', 'learning_rate': '2.683e-05', 'epoch': '0.1628'} + 50%|███████████████ | 4526/9000 [2:39:09<5:10:22, 4.16s/it] {'lm_loss': '0.0001442', 'visual_loss': '2.653', 'seg_loss': '0.8063', 'dino_loss': '0.9067', 'depth_loss': '0.2376', 'vggt_mse_loss': '0.2361', 'vggt_cos_loss': '0.0155', 'pidinet_loss': '0.2345', 'siglip_loss': '0.468', 'epoch': '0.1628'} + 50%|███████████████ | 4526/9000 [2:39:12<5:10:22, 4.16s/it][Dataset] cur_step=4527 phase=B_anchor_generation +[Dataset] cur_step=4527 phase=B_anchor_generation +[Dataset] cur_step=4527 phase=B_anchor_generation +[Dataset] cur_step=4527 phase=B_anchor_generation +[Dataset] cur_step=4527 phase=B_anchor_generation +[Dataset] cur_step=4527 phase=B_anchor_generation +[Dataset] cur_step=4527 phase=B_anchor_generation +[Dataset] cur_step=4527 phase=B_anchor_generation + 50%|███████████████ | 4527/9000 [2:39:13<4:59:19, 4.02s/it] {'loss': '2.775', 'grad_norm': '1.452', 'learning_rate': '2.682e-05', 'epoch': '0.1629'} + 50%|███████████████ | 4527/9000 [2:39:13<4:59:19, 4.02s/it] {'lm_loss': '0.000468', 'visual_loss': '2.678', 'seg_loss': '0.6631', 'dino_loss': '0.9219', 'depth_loss': '0.3076', 'vggt_mse_loss': '0.3054', 'vggt_cos_loss': '0.02255', 'pidinet_loss': '0.2716', 'siglip_loss': '0.5139', 'epoch': '0.1629'} + 50%|███████████████ | 4527/9000 [2:39:16<4:59:19, 4.02s/it][Dataset] cur_step=4528 phase=B_anchor_generation +[Dataset] cur_step=4528 phase=B_anchor_generation[Dataset] cur_step=4528 phase=B_anchor_generation + +[Dataset] cur_step=4528 phase=B_anchor_generation +[Dataset] cur_step=4528 phase=B_anchor_generation[Dataset] cur_step=4528 phase=B_anchor_generation + +[Dataset] cur_step=4528 phase=B_anchor_generation +[Dataset] cur_step=4528 phase=B_anchor_generation + 50%|███████████████ | 4528/9000 [2:39:16<4:49:35, 3.89s/it] {'loss': '2.718', 'grad_norm': '2.308', 'learning_rate': '2.681e-05', 'epoch': '0.1629'} + 50%|███████████████ | 4528/9000 [2:39:16<4:49:35, 3.89s/it] {'lm_loss': '0.0001177', 'visual_loss': '2.753', 'seg_loss': '0.8046', 'dino_loss': '0.9134', 'depth_loss': '0.2269', 'vggt_mse_loss': '0.2253', 'vggt_cos_loss': '0.01582', 'pidinet_loss': '0.2319', 'siglip_loss': '0.5763', 'epoch': '0.1629'} + 50%|███████████████ | 4528/9000 [2:39:19<4:49:35, 3.89s/it][Dataset] cur_step=4529 phase=B_anchor_generation +[Dataset] cur_step=4529 phase=B_anchor_generation +[Dataset] cur_step=4529 phase=B_anchor_generation +[Dataset] cur_step=4529 phase=B_anchor_generation[Dataset] cur_step=4529 phase=B_anchor_generation[Dataset] cur_step=4529 phase=B_anchor_generation + + +[Dataset] cur_step=4529 phase=B_anchor_generation +[Dataset] cur_step=4529 phase=B_anchor_generation + 50%|███████████████ | 4529/9000 [2:39:20<4:41:05, 3.77s/it] {'loss': '2.671', 'grad_norm': '1.457', 'learning_rate': '2.68e-05', 'epoch': '0.1629'} + 50%|███████████████ | 4529/9000 [2:39:20<4:41:05, 3.77s/it] {'lm_loss': '0.0002123', 'visual_loss': '2.699', 'seg_loss': '0.7064', 'dino_loss': '0.9098', 'depth_loss': '0.2452', 'vggt_mse_loss': '0.2438', 'vggt_cos_loss': '0.01369', 'pidinet_loss': '0.249', 'siglip_loss': '0.5883', 'epoch': '0.1629'} + 50%|███████████████ | 4529/9000 [2:39:23<4:41:05, 3.77s/it][Dataset] cur_step=4530 phase=B_anchor_generation +[Dataset] cur_step=4530 phase=B_anchor_generation +[Dataset] cur_step=4530 phase=B_anchor_generation +[Dataset] cur_step=4530 phase=B_anchor_generation +[Dataset] cur_step=4530 phase=B_anchor_generation +[Dataset] cur_step=4530 phase=B_anchor_generation +[Dataset] cur_step=4530 phase=B_anchor_generation[Dataset] cur_step=4530 phase=B_anchor_generation + + 50%|███████████████ | 4530/9000 [2:39:23<4:41:08, 3.77s/it] {'loss': '2.749', 'grad_norm': '1.198', 'learning_rate': '2.679e-05', 'epoch': '0.163'} + 50%|███████████████ | 4530/9000 [2:39:23<4:41:08, 3.77s/it] {'lm_loss': '0.0001476', 'visual_loss': '2.915', 'seg_loss': '0.8284', 'dino_loss': '0.9145', 'depth_loss': '0.2684', 'vggt_mse_loss': '0.2666', 'vggt_cos_loss': '0.01785', 'pidinet_loss': '0.2564', 'siglip_loss': '0.647', 'epoch': '0.163'} + 50%|███████████████ | 4530/9000 [2:39:27<4:41:08, 3.77s/it][Dataset] cur_step=4531 phase=B_anchor_generation +[Dataset] cur_step=4531 phase=B_anchor_generation +[Dataset] cur_step=4531 phase=B_anchor_generation +[Dataset] cur_step=4531 phase=B_anchor_generation +[Dataset] cur_step=4531 phase=B_anchor_generation +[Dataset] cur_step=4531 phase=B_anchor_generation +[Dataset] cur_step=4531 phase=B_anchor_generation[Dataset] cur_step=4531 phase=B_anchor_generation + + 50%|███████████████ | 4531/9000 [2:39:28<4:51:38, 3.92s/it] {'loss': '2.77', 'grad_norm': '1.352', 'learning_rate': '2.678e-05', 'epoch': '0.163'} + 50%|███████████████ | 4531/9000 [2:39:28<4:51:38, 3.92s/it] {'lm_loss': '0.0002714', 'visual_loss': '2.656', 'seg_loss': '0.6797', 'dino_loss': '0.9131', 'depth_loss': '0.2556', 'vggt_mse_loss': '0.2543', 'vggt_cos_loss': '0.01252', 'pidinet_loss': '0.1856', 'siglip_loss': '0.6222', 'epoch': '0.163'} + 50%|███████████████ | 4531/9000 [2:39:31<4:51:38, 3.92s/it][Dataset] cur_step=4532 phase=B_anchor_generation +[Dataset] cur_step=4532 phase=B_anchor_generation +[Dataset] cur_step=4532 phase=B_anchor_generation +[Dataset] cur_step=4532 phase=B_anchor_generation +[Dataset] cur_step=4532 phase=B_anchor_generation +[Dataset] cur_step=4532 phase=B_anchor_generation +[Dataset] cur_step=4532 phase=B_anchor_generation + 50%|███████████████ | 4532/9000 [2:39:32<5:04:05, 4.08s/it][Dataset] cur_step=4532 phase=B_anchor_generation + {'loss': '2.778', 'grad_norm': '2.164', 'learning_rate': '2.677e-05', 'epoch': '0.163'} + 50%|███████████████ | 4532/9000 [2:39:32<5:04:05, 4.08s/it] {'lm_loss': '0.0001541', 'visual_loss': '2.648', 'seg_loss': '0.696', 'dino_loss': '0.9116', 'depth_loss': '0.2558', 'vggt_mse_loss': '0.254', 'vggt_cos_loss': '0.01876', 'pidinet_loss': '0.2329', 'siglip_loss': '0.5513', 'epoch': '0.163'} + 50%|███████████████ | 4532/9000 [2:39:36<5:04:05, 4.08s/it][Dataset] cur_step=4533 phase=B_anchor_generation +[Dataset] cur_step=4533 phase=B_anchor_generation +[Dataset] cur_step=4533 phase=B_anchor_generation +[Dataset] cur_step=4533 phase=B_anchor_generation +[Dataset] cur_step=4533 phase=B_anchor_generation +[Dataset] cur_step=4533 phase=B_anchor_generation +[Dataset] cur_step=4533 phase=B_anchor_generation +[Dataset] cur_step=4533 phase=B_anchor_generation + 50%|███████████████ | 4533/9000 [2:39:36<4:55:52, 3.97s/it] {'loss': '2.833', 'grad_norm': '5.429', 'learning_rate': '2.676e-05', 'epoch': '0.1631'} + 50%|███████████████ | 4533/9000 [2:39:36<4:55:52, 3.97s/it] {'lm_loss': '0.0001499', 'visual_loss': '2.659', 'seg_loss': '0.7088', 'dino_loss': '0.9184', 'depth_loss': '0.2588', 'vggt_mse_loss': '0.2569', 'vggt_cos_loss': '0.01875', 'pidinet_loss': '0.2448', 'siglip_loss': '0.5284', 'epoch': '0.1631'} + 50%|███████████████ | 4533/9000 [2:39:39<4:55:52, 3.97s/it][Dataset] cur_step=4534 phase=B_anchor_generation +[Dataset] cur_step=4534 phase=B_anchor_generation +[Dataset] cur_step=4534 phase=B_anchor_generation +[Dataset] cur_step=4534 phase=B_anchor_generation +[Dataset] cur_step=4534 phase=B_anchor_generation +[Dataset] cur_step=4534 phase=B_anchor_generation +[Dataset] cur_step=4534 phase=B_anchor_generation +[Dataset] cur_step=4534 phase=B_anchor_generation + 50%|███████████████ | 4534/9000 [2:39:40<4:56:07, 3.98s/it] {'loss': '2.791', 'grad_norm': '1.675', 'learning_rate': '2.675e-05', 'epoch': '0.1631'} + 50%|███████████████ | 4534/9000 [2:39:40<4:56:07, 3.98s/it] {'lm_loss': '0.0002309', 'visual_loss': '2.535', 'seg_loss': '0.7779', 'dino_loss': '0.9138', 'depth_loss': '0.2354', 'vggt_mse_loss': '0.2338', 'vggt_cos_loss': '0.01643', 'pidinet_loss': '0.1815', 'siglip_loss': '0.4269', 'epoch': '0.1631'} + 50%|███████████████ | 4534/9000 [2:39:43<4:56:07, 3.98s/it][Dataset] cur_step=4535 phase=B_anchor_generation +[Dataset] cur_step=4535 phase=B_anchor_generation +[Dataset] cur_step=4535 phase=B_anchor_generation +[Dataset] cur_step=4535 phase=B_anchor_generation +[Dataset] cur_step=4535 phase=B_anchor_generation +[Dataset] cur_step=4535 phase=B_anchor_generation +[Dataset] cur_step=4535 phase=B_anchor_generation +[Dataset] cur_step=4535 phase=B_anchor_generation + 50%|███████████████ | 4535/9000 [2:39:44<4:57:20, 4.00s/it] {'loss': '2.731', 'grad_norm': '1.237', 'learning_rate': '2.674e-05', 'epoch': '0.1631'} + 50%|███████████████ | 4535/9000 [2:39:44<4:57:20, 4.00s/it] {'lm_loss': '0.0001289', 'visual_loss': '2.839', 'seg_loss': '0.7651', 'dino_loss': '0.9125', 'depth_loss': '0.2333', 'vggt_mse_loss': '0.2316', 'vggt_cos_loss': '0.01704', 'pidinet_loss': '0.2384', 'siglip_loss': '0.6895', 'epoch': '0.1631'} + 50%|███████████████ | 4535/9000 [2:39:47<4:57:20, 4.00s/it][Dataset] cur_step=4536 phase=B_anchor_generation +[Dataset] cur_step=4536 phase=B_anchor_generation +[Dataset] cur_step=4536 phase=B_anchor_generation +[Dataset] cur_step=4536 phase=B_anchor_generation[Dataset] cur_step=4536 phase=B_anchor_generation + +[Dataset] cur_step=4536 phase=B_anchor_generation[Dataset] cur_step=4536 phase=B_anchor_generation + + 50%|███████████████ | 4536/9000 [2:39:48<4:58:25, 4.01s/it][Dataset] cur_step=4536 phase=B_anchor_generation + {'loss': '2.792', 'grad_norm': '1.644', 'learning_rate': '2.673e-05', 'epoch': '0.1632'} + 50%|███████████████ | 4536/9000 [2:39:48<4:58:25, 4.01s/it] {'lm_loss': '0.0001382', 'visual_loss': '2.668', 'seg_loss': '0.7737', 'dino_loss': '0.9088', 'depth_loss': '0.2053', 'vggt_mse_loss': '0.204', 'vggt_cos_loss': '0.013', 'pidinet_loss': '0.2605', 'siglip_loss': '0.5196', 'epoch': '0.1632'} + 50%|███████████████ | 4536/9000 [2:39:51<4:58:25, 4.01s/it][Dataset] cur_step=4537 phase=B_anchor_generation +[Dataset] cur_step=4537 phase=B_anchor_generation +[Dataset] cur_step=4537 phase=B_anchor_generation +[Dataset] cur_step=4537 phase=B_anchor_generation +[Dataset] cur_step=4537 phase=B_anchor_generation +[Dataset] cur_step=4537 phase=B_anchor_generation +[Dataset] cur_step=4537 phase=B_anchor_generation +[Dataset] cur_step=4537 phase=B_anchor_generation + 50%|███████████████ | 4537/9000 [2:39:52<4:52:48, 3.94s/it] {'loss': '2.704', 'grad_norm': '2.084', 'learning_rate': '2.673e-05', 'epoch': '0.1632'} + 50%|███████████████ | 4537/9000 [2:39:52<4:52:48, 3.94s/it] {'lm_loss': '0.0002653', 'visual_loss': '2.728', 'seg_loss': '0.7113', 'dino_loss': '0.944', 'depth_loss': '0.2275', 'vggt_mse_loss': '0.226', 'vggt_cos_loss': '0.01539', 'pidinet_loss': '0.254', 'siglip_loss': '0.5909', 'epoch': '0.1632'} + 50%|███████████████ | 4537/9000 [2:39:55<4:52:48, 3.94s/it][Dataset] cur_step=4538 phase=B_anchor_generation +[Dataset] cur_step=4538 phase=B_anchor_generation +[Dataset] cur_step=4538 phase=B_anchor_generation +[Dataset] cur_step=4538 phase=B_anchor_generation +[Dataset] cur_step=4538 phase=B_anchor_generation +[Dataset] cur_step=4538 phase=B_anchor_generation +[Dataset] cur_step=4538 phase=B_anchor_generation + 50%|███████████████▏ | 4538/9000 [2:39:56<5:02:08, 4.06s/it][Dataset] cur_step=4538 phase=B_anchor_generation + {'loss': '2.701', 'grad_norm': '1.125', 'learning_rate': '2.672e-05', 'epoch': '0.1633'} + 50%|███████████████▏ | 4538/9000 [2:39:56<5:02:08, 4.06s/it] {'lm_loss': '0.0001531', 'visual_loss': '2.75', 'seg_loss': '0.7426', 'dino_loss': '0.899', 'depth_loss': '0.3067', 'vggt_mse_loss': '0.3043', 'vggt_cos_loss': '0.02337', 'pidinet_loss': '0.2348', 'siglip_loss': '0.5674', 'epoch': '0.1633'} + 50%|███████████████▏ | 4538/9000 [2:40:00<5:02:08, 4.06s/it][Dataset] cur_step=4539 phase=B_anchor_generation[Dataset] cur_step=4539 phase=B_anchor_generation[Dataset] cur_step=4539 phase=B_anchor_generation + + +[Dataset] cur_step=4539 phase=B_anchor_generation +[Dataset] cur_step=4539 phase=B_anchor_generation +[Dataset] cur_step=4539 phase=B_anchor_generation +[Dataset] cur_step=4539 phase=B_anchor_generation +[Dataset] cur_step=4539 phase=B_anchor_generation + 50%|███████████████▏ | 4539/9000 [2:40:00<4:55:28, 3.97s/it] {'loss': '2.732', 'grad_norm': '1.378', 'learning_rate': '2.671e-05', 'epoch': '0.1633'} + 50%|███████████████▏ | 4539/9000 [2:40:00<4:55:28, 3.97s/it] {'lm_loss': '0.0001376', 'visual_loss': '2.943', 'seg_loss': '0.766', 'dino_loss': '0.9461', 'depth_loss': '0.2665', 'vggt_mse_loss': '0.2646', 'vggt_cos_loss': '0.01862', 'pidinet_loss': '0.2568', 'siglip_loss': '0.7073', 'epoch': '0.1633'} + 50%|███████████████▏ | 4539/9000 [2:40:03<4:55:28, 3.97s/it][Dataset] cur_step=4540 phase=B_anchor_generation +[Dataset] cur_step=4540 phase=B_anchor_generation +[Dataset] cur_step=4540 phase=B_anchor_generation[Dataset] cur_step=4540 phase=B_anchor_generation + +[Dataset] cur_step=4540 phase=B_anchor_generation +[Dataset] cur_step=4540 phase=B_anchor_generation +[Dataset] cur_step=4540 phase=B_anchor_generation +[Dataset] cur_step=4540 phase=B_anchor_generation + 50%|███████████████▏ | 4540/9000 [2:40:04<4:51:26, 3.92s/it] {'loss': '3.02', 'grad_norm': '2.378', 'learning_rate': '2.67e-05', 'epoch': '0.1633'} + 50%|███████████████▏ | 4540/9000 [2:40:04<4:51:26, 3.92s/it] {'lm_loss': '0.0003344', 'visual_loss': '2.689', 'seg_loss': '0.4724', 'dino_loss': '0.9176', 'depth_loss': '0.4814', 'vggt_mse_loss': '0.4785', 'vggt_cos_loss': '0.02934', 'pidinet_loss': '0.2783', 'siglip_loss': '0.5395', 'epoch': '0.1633'} + 50%|███████████████▏ | 4540/9000 [2:40:08<4:51:26, 3.92s/it][Dataset] cur_step=4541 phase=B_anchor_generation +[Dataset] cur_step=4541 phase=B_anchor_generation[Dataset] cur_step=4541 phase=B_anchor_generation + +[Dataset] cur_step=4541 phase=B_anchor_generation +[Dataset] cur_step=4541 phase=B_anchor_generation +[Dataset] cur_step=4541 phase=B_anchor_generation +[Dataset] cur_step=4541 phase=B_anchor_generation +[Dataset] cur_step=4541 phase=B_anchor_generation + 50%|███████████████▏ | 4541/9000 [2:40:08<4:59:27, 4.03s/it] {'loss': '2.742', 'grad_norm': '1.534', 'learning_rate': '2.669e-05', 'epoch': '0.1634'} + 50%|███████████████▏ | 4541/9000 [2:40:08<4:59:27, 4.03s/it] {'lm_loss': '0.0002556', 'visual_loss': '2.943', 'seg_loss': '0.774', 'dino_loss': '0.8911', 'depth_loss': '0.2947', 'vggt_mse_loss': '0.2922', 'vggt_cos_loss': '0.02472', 'pidinet_loss': '0.2177', 'siglip_loss': '0.7659', 'epoch': '0.1634'} + 50%|███████████████▏ | 4541/9000 [2:40:11<4:59:27, 4.03s/it][Dataset] cur_step=4542 phase=B_anchor_generation[Dataset] cur_step=4542 phase=B_anchor_generation + +[Dataset] cur_step=4542 phase=B_anchor_generation[Dataset] cur_step=4542 phase=B_anchor_generation[Dataset] cur_step=4542 phase=B_anchor_generation + + +[Dataset] cur_step=4542 phase=B_anchor_generation +[Dataset] cur_step=4542 phase=B_anchor_generation +[Dataset] cur_step=4542 phase=B_anchor_generation + 50%|███████████████▏ | 4542/9000 [2:40:12<4:59:38, 4.03s/it] {'loss': '2.669', 'grad_norm': '1.89', 'learning_rate': '2.668e-05', 'epoch': '0.1634'} + 50%|███████████████▏ | 4542/9000 [2:40:12<4:59:38, 4.03s/it] {'lm_loss': '0.0002155', 'visual_loss': '2.499', 'seg_loss': '0.7009', 'dino_loss': '0.8858', 'depth_loss': '0.3123', 'vggt_mse_loss': '0.3104', 'vggt_cos_loss': '0.01836', 'pidinet_loss': '0.1636', 'siglip_loss': '0.4367', 'epoch': '0.1634'} + 50%|███████████████▏ | 4542/9000 [2:40:15<4:59:38, 4.03s/it][Dataset] cur_step=4543 phase=B_anchor_generation +[Dataset] cur_step=4543 phase=B_anchor_generation +[Dataset] cur_step=4543 phase=B_anchor_generation +[Dataset] cur_step=4543 phase=B_anchor_generation[Dataset] cur_step=4543 phase=B_anchor_generation + +[Dataset] cur_step=4543 phase=B_anchor_generation +[Dataset] cur_step=4543 phase=B_anchor_generation + 50%|███████████████▏ | 4543/9000 [2:40:16<5:01:39, 4.06s/it][Dataset] cur_step=4543 phase=B_anchor_generation + {'loss': '2.633', 'grad_norm': '1.417', 'learning_rate': '2.667e-05', 'epoch': '0.1634'} + 50%|███████████████▏ | 4543/9000 [2:40:16<5:01:39, 4.06s/it] {'lm_loss': '0.0002647', 'visual_loss': '2.569', 'seg_loss': '0.6123', 'dino_loss': '0.8856', 'depth_loss': '0.3329', 'vggt_mse_loss': '0.3307', 'vggt_cos_loss': '0.02193', 'pidinet_loss': '0.2219', 'siglip_loss': '0.5167', 'epoch': '0.1634'} + 50%|███████████████▏ | 4543/9000 [2:40:20<5:01:39, 4.06s/it][Dataset] cur_step=4544 phase=B_anchor_generation[Dataset] cur_step=4544 phase=B_anchor_generation + +[Dataset] cur_step=4544 phase=B_anchor_generation[Dataset] cur_step=4544 phase=B_anchor_generation + + 50%|███████████████▏ | 4544/9000 [2:40:20<5:05:05, 4.11s/it][Dataset] cur_step=4544 phase=B_anchor_generation +[Dataset] cur_step=4544 phase=B_anchor_generation +[Dataset] cur_step=4544 phase=B_anchor_generation +[Dataset] cur_step=4544 phase=B_anchor_generation + {'loss': '2.675', 'grad_norm': '1.921', 'learning_rate': '2.666e-05', 'epoch': '0.1635'} + 50%|███████████████▏ | 4544/9000 [2:40:20<5:05:05, 4.11s/it] {'lm_loss': '0.000106', 'visual_loss': '2.786', 'seg_loss': '0.7245', 'dino_loss': '0.9181', 'depth_loss': '0.2816', 'vggt_mse_loss': '0.2793', 'vggt_cos_loss': '0.0229', 'pidinet_loss': '0.2298', 'siglip_loss': '0.6318', 'epoch': '0.1635'} + 50%|███████████████▏ | 4544/9000 [2:40:23<5:05:05, 4.11s/it][Dataset] cur_step=4545 phase=B_anchor_generation +[Dataset] cur_step=4545 phase=B_anchor_generation +[Dataset] cur_step=4545 phase=B_anchor_generation +[Dataset] cur_step=4545 phase=B_anchor_generation +[Dataset] cur_step=4545 phase=B_anchor_generation +[Dataset] cur_step=4545 phase=B_anchor_generation + 50%|███████████████▏ | 4545/9000 [2:40:24<5:00:52, 4.05s/it][Dataset] cur_step=4545 phase=B_anchor_generation +[Dataset] cur_step=4545 phase=B_anchor_generation + {'loss': '2.664', 'grad_norm': '1.522', 'learning_rate': '2.665e-05', 'epoch': '0.1635'} + 50%|███████████████▏ | 4545/9000 [2:40:24<5:00:52, 4.05s/it] {'lm_loss': '0.0004184', 'visual_loss': '2.23', 'seg_loss': '0.5331', 'dino_loss': '0.8619', 'depth_loss': '0.2527', 'vggt_mse_loss': '0.2513', 'vggt_cos_loss': '0.01333', 'pidinet_loss': '0.19', 'siglip_loss': '0.3926', 'epoch': '0.1635'} + 50%|███████████████▏ | 4545/9000 [2:40:28<5:00:52, 4.05s/it][Dataset] cur_step=4546 phase=B_anchor_generation[Dataset] cur_step=4546 phase=B_anchor_generation +[Dataset] cur_step=4546 phase=B_anchor_generation + +[Dataset] cur_step=4546 phase=B_anchor_generation +[Dataset] cur_step=4546 phase=B_anchor_generation +[Dataset] cur_step=4546 phase=B_anchor_generation + 51%|███████████████▏ | 4546/9000 [2:40:29<5:07:34, 4.14s/it][Dataset] cur_step=4546 phase=B_anchor_generation +[Dataset] cur_step=4546 phase=B_anchor_generation + {'loss': '2.713', 'grad_norm': '2.09', 'learning_rate': '2.664e-05', 'epoch': '0.1635'} + 51%|███████████████▏ | 4546/9000 [2:40:29<5:07:34, 4.14s/it] {'lm_loss': '0.0004134', 'visual_loss': '2.69', 'seg_loss': '0.6411', 'dino_loss': '0.8889', 'depth_loss': '0.2521', 'vggt_mse_loss': '0.2503', 'vggt_cos_loss': '0.01851', 'pidinet_loss': '0.2909', 'siglip_loss': '0.6167', 'epoch': '0.1635'} + 51%|███████████████▏ | 4546/9000 [2:40:32<5:07:34, 4.14s/it][Dataset] cur_step=4547 phase=B_anchor_generation[Dataset] cur_step=4547 phase=B_anchor_generation + +[Dataset] cur_step=4547 phase=B_anchor_generation +[Dataset] cur_step=4547 phase=B_anchor_generation +[Dataset] cur_step=4547 phase=B_anchor_generation +[Dataset] cur_step=4547 phase=B_anchor_generation + 51%|███████████████▏ | 4547/9000 [2:40:32<4:57:47, 4.01s/it][Dataset] cur_step=4547 phase=B_anchor_generation +[Dataset] cur_step=4547 phase=B_anchor_generation + {'loss': '2.72', 'grad_norm': '1.55', 'learning_rate': '2.663e-05', 'epoch': '0.1636'} + 51%|███████████████▏ | 4547/9000 [2:40:32<4:57:47, 4.01s/it] {'lm_loss': '0.0003129', 'visual_loss': '2.777', 'seg_loss': '0.8389', 'dino_loss': '0.9074', 'depth_loss': '0.1995', 'vggt_mse_loss': '0.198', 'vggt_cos_loss': '0.01482', 'pidinet_loss': '0.2554', 'siglip_loss': '0.5757', 'epoch': '0.1636'} + 51%|███████████████▏ | 4547/9000 [2:40:35<4:57:47, 4.01s/it][Dataset] cur_step=4548 phase=B_anchor_generation +[Dataset] cur_step=4548 phase=B_anchor_generation +[Dataset] cur_step=4548 phase=B_anchor_generation +[Dataset] cur_step=4548 phase=B_anchor_generation +[Dataset] cur_step=4548 phase=B_anchor_generation +[Dataset] cur_step=4548 phase=B_anchor_generation + 51%|███████████████▏ | 4548/9000 [2:40:36<4:51:56, 3.93s/it][Dataset] cur_step=4548 phase=B_anchor_generation +[Dataset] cur_step=4548 phase=B_anchor_generation + {'loss': '2.682', 'grad_norm': '2.732', 'learning_rate': '2.662e-05', 'epoch': '0.1636'} + 51%|███████████████▏ | 4548/9000 [2:40:36<4:51:56, 3.93s/it] {'lm_loss': '0.0003777', 'visual_loss': '2.36', 'seg_loss': '0.5596', 'dino_loss': '0.8634', 'depth_loss': '0.3029', 'vggt_mse_loss': '0.3015', 'vggt_cos_loss': '0.01348', 'pidinet_loss': '0.2181', 'siglip_loss': '0.4164', 'epoch': '0.1636'} + 51%|███████████████▏ | 4548/9000 [2:40:40<4:51:56, 3.93s/it][Dataset] cur_step=4549 phase=B_anchor_generation +[Dataset] cur_step=4549 phase=B_anchor_generation[Dataset] cur_step=4549 phase=B_anchor_generation + +[Dataset] cur_step=4549 phase=B_anchor_generation +[Dataset] cur_step=4549 phase=B_anchor_generation +[Dataset] cur_step=4549 phase=B_anchor_generation +[Dataset] cur_step=4549 phase=B_anchor_generation + 51%|███████████████▏ | 4549/9000 [2:40:40<4:52:37, 3.94s/it][Dataset] cur_step=4549 phase=B_anchor_generation + {'loss': '2.651', 'grad_norm': '2.157', 'learning_rate': '2.662e-05', 'epoch': '0.1637'} + 51%|███████████████▏ | 4549/9000 [2:40:40<4:52:37, 3.94s/it] {'lm_loss': '0.0001159', 'visual_loss': '2.682', 'seg_loss': '0.7855', 'dino_loss': '0.9167', 'depth_loss': '0.2405', 'vggt_mse_loss': '0.2391', 'vggt_cos_loss': '0.01451', 'pidinet_loss': '0.2239', 'siglip_loss': '0.5153', 'epoch': '0.1637'} + 51%|███████████████▏ | 4549/9000 [2:40:44<4:52:37, 3.94s/it][Dataset] cur_step=4550 phase=B_anchor_generation[Dataset] cur_step=4550 phase=B_anchor_generation + +[Dataset] cur_step=4550 phase=B_anchor_generation +[Dataset] cur_step=4550 phase=B_anchor_generation +[Dataset] cur_step=4550 phase=B_anchor_generation +[Dataset] cur_step=4550 phase=B_anchor_generation + 51%|███████████████▏ | 4550/9000 [2:40:44<4:56:56, 4.00s/it][Dataset] cur_step=4550 phase=B_anchor_generation +[Dataset] cur_step=4550 phase=B_anchor_generation + {'loss': '2.661', 'grad_norm': '1.449', 'learning_rate': '2.661e-05', 'epoch': '0.1637'} + 51%|███████████████▏ | 4550/9000 [2:40:44<4:56:56, 4.00s/it] {'lm_loss': '0.0003565', 'visual_loss': '2.762', 'seg_loss': '0.7672', 'dino_loss': '0.9288', 'depth_loss': '0.2626', 'vggt_mse_loss': '0.2608', 'vggt_cos_loss': '0.0184', 'pidinet_loss': '0.2031', 'siglip_loss': '0.6001', 'epoch': '0.1637'} + 51%|███████████████▏ | 4550/9000 [2:40:47<4:56:56, 4.00s/it][Dataset] cur_step=4551 phase=B_anchor_generation +[Dataset] cur_step=4551 phase=B_anchor_generation +[Dataset] cur_step=4551 phase=B_anchor_generation[Dataset] cur_step=4551 phase=B_anchor_generation + +[Dataset] cur_step=4551 phase=B_anchor_generation +[Dataset] cur_step=4551 phase=B_anchor_generation +[Dataset] cur_step=4551 phase=B_anchor_generation + 51%|███████████████▏ | 4551/9000 [2:40:48<4:54:02, 3.97s/it][Dataset] cur_step=4551 phase=B_anchor_generation + {'loss': '2.79', 'grad_norm': '1.769', 'learning_rate': '2.66e-05', 'epoch': '0.1637'} + 51%|███████████████▏ | 4551/9000 [2:40:48<4:54:02, 3.97s/it] {'lm_loss': '0.0001368', 'visual_loss': '2.871', 'seg_loss': '0.8172', 'dino_loss': '0.929', 'depth_loss': '0.3469', 'vggt_mse_loss': '0.3451', 'vggt_cos_loss': '0.0173', 'pidinet_loss': '0.2144', 'siglip_loss': '0.5631', 'epoch': '0.1637'} + 51%|███████████████▏ | 4551/9000 [2:40:51<4:54:02, 3.97s/it][Dataset] cur_step=4552 phase=B_anchor_generation +[Dataset] cur_step=4552 phase=B_anchor_generation +[Dataset] cur_step=4552 phase=B_anchor_generation + 51%|███████████████▏ | 4552/9000 [2:40:52<4:58:07, 4.02s/it][Dataset] cur_step=4552 phase=B_anchor_generation +[Dataset] cur_step=4552 phase=B_anchor_generation +[Dataset] cur_step=4552 phase=B_anchor_generation[Dataset] cur_step=4552 phase=B_anchor_generation + +[Dataset] cur_step=4552 phase=B_anchor_generation + {'loss': '2.868', 'grad_norm': '4.401', 'learning_rate': '2.659e-05', 'epoch': '0.1638'} + 51%|███████████████▏ | 4552/9000 [2:40:52<4:58:07, 4.02s/it] {'lm_loss': '0.0001643', 'visual_loss': '2.693', 'seg_loss': '0.7091', 'dino_loss': '0.9063', 'depth_loss': '0.3943', 'vggt_mse_loss': '0.3919', 'vggt_cos_loss': '0.02444', 'pidinet_loss': '0.2227', 'siglip_loss': '0.4606', 'epoch': '0.1638'} + 51%|███████████████▏ | 4552/9000 [2:40:56<4:58:07, 4.02s/it][Dataset] cur_step=4553 phase=B_anchor_generation +[Dataset] cur_step=4553 phase=B_anchor_generation +[Dataset] cur_step=4553 phase=B_anchor_generation +[Dataset] cur_step=4553 phase=B_anchor_generation +[Dataset] cur_step=4553 phase=B_anchor_generation +[Dataset] cur_step=4553 phase=B_anchor_generation +[Dataset] cur_step=4553 phase=B_anchor_generation 51%|███████████████▏ | 4553/9000 [2:40:56<4:59:43, 4.04s/it] +[Dataset] cur_step=4553 phase=B_anchor_generation + {'loss': '2.782', 'grad_norm': '1.649', 'learning_rate': '2.658e-05', 'epoch': '0.1638'} + 51%|███████████████▏ | 4553/9000 [2:40:56<4:59:43, 4.04s/it] {'lm_loss': '0.0002623', 'visual_loss': '2.838', 'seg_loss': '0.7697', 'dino_loss': '0.9212', 'depth_loss': '0.2614', 'vggt_mse_loss': '0.2594', 'vggt_cos_loss': '0.01969', 'pidinet_loss': '0.2825', 'siglip_loss': '0.6037', 'epoch': '0.1638'} + 51%|███████████████▏ | 4553/9000 [2:40:59<4:59:43, 4.04s/it][Dataset] cur_step=4554 phase=B_anchor_generation +[Dataset] cur_step=4554 phase=B_anchor_generation +[Dataset] cur_step=4554 phase=B_anchor_generation +[Dataset] cur_step=4554 phase=B_anchor_generation[Dataset] cur_step=4554 phase=B_anchor_generation[Dataset] cur_step=4554 phase=B_anchor_generation + + +[Dataset] cur_step=4554 phase=B_anchor_generation +[Dataset] cur_step=4554 phase=B_anchor_generation + 51%|███████████████▏ | 4554/9000 [2:41:00<4:57:38, 4.02s/it] {'loss': '2.814', 'grad_norm': '1.676', 'learning_rate': '2.657e-05', 'epoch': '0.1638'} + 51%|███████████████▏ | 4554/9000 [2:41:00<4:57:38, 4.02s/it] {'lm_loss': '0.0002034', 'visual_loss': '2.874', 'seg_loss': '0.9005', 'dino_loss': '0.9257', 'depth_loss': '0.2455', 'vggt_mse_loss': '0.2438', 'vggt_cos_loss': '0.01698', 'pidinet_loss': '0.1895', 'siglip_loss': '0.613', 'epoch': '0.1638'} + 51%|███████████████▏ | 4554/9000 [2:41:03<4:57:38, 4.02s/it][Dataset] cur_step=4555 phase=B_anchor_generation +[Dataset] cur_step=4555 phase=B_anchor_generation[Dataset] cur_step=4555 phase=B_anchor_generation + +[Dataset] cur_step=4555 phase=B_anchor_generation +[Dataset] cur_step=4555 phase=B_anchor_generation +[Dataset] cur_step=4555 phase=B_anchor_generation +[Dataset] cur_step=4555 phase=B_anchor_generation + 51%|███████████████▏ | 4555/9000 [2:41:04<4:57:05, 4.01s/it][Dataset] cur_step=4555 phase=B_anchor_generation + {'loss': '2.702', 'grad_norm': '5.577', 'learning_rate': '2.656e-05', 'epoch': '0.1639'} + 51%|███████████████▏ | 4555/9000 [2:41:04<4:57:05, 4.01s/it] {'lm_loss': '0.0002876', 'visual_loss': '2.582', 'seg_loss': '0.6175', 'dino_loss': '0.8992', 'depth_loss': '0.2578', 'vggt_mse_loss': '0.256', 'vggt_cos_loss': '0.01812', 'pidinet_loss': '0.2471', 'siglip_loss': '0.5608', 'epoch': '0.1639'} + 51%|███████████████▏ | 4555/9000 [2:41:07<4:57:05, 4.01s/it][Dataset] cur_step=4556 phase=B_anchor_generation +[Dataset] cur_step=4556 phase=B_anchor_generation +[Dataset] cur_step=4556 phase=B_anchor_generation[Dataset] cur_step=4556 phase=B_anchor_generation[Dataset] cur_step=4556 phase=B_anchor_generation + + +[Dataset] cur_step=4556 phase=B_anchor_generation +[Dataset] cur_step=4556 phase=B_anchor_generation + 51%|███████████████▏ | 4556/9000 [2:41:08<4:50:48, 3.93s/it][Dataset] cur_step=4556 phase=B_anchor_generation + {'loss': '2.83', 'grad_norm': '1.937', 'learning_rate': '2.655e-05', 'epoch': '0.1639'} + 51%|███████████████▏ | 4556/9000 [2:41:08<4:50:48, 3.93s/it] {'lm_loss': '0.0003379', 'visual_loss': '2.64', 'seg_loss': '0.7099', 'dino_loss': '0.9032', 'depth_loss': '0.3122', 'vggt_mse_loss': '0.3102', 'vggt_cos_loss': '0.01933', 'pidinet_loss': '0.2137', 'siglip_loss': '0.5014', 'epoch': '0.1639'} + 51%|███████████████▏ | 4556/9000 [2:41:11<4:50:48, 3.93s/it][Dataset] cur_step=4557 phase=B_anchor_generation +[Dataset] cur_step=4557 phase=B_anchor_generation +[Dataset] cur_step=4557 phase=B_anchor_generation +[Dataset] cur_step=4557 phase=B_anchor_generation +[Dataset] cur_step=4557 phase=B_anchor_generation +[Dataset] cur_step=4557 phase=B_anchor_generation[Dataset] cur_step=4557 phase=B_anchor_generation 51%|███████████████▏ | 4557/9000 [2:41:12<4:53:11, 3.96s/it] + +[Dataset] cur_step=4557 phase=B_anchor_generation + {'loss': '2.764', 'grad_norm': '7.821', 'learning_rate': '2.654e-05', 'epoch': '0.1639'} + 51%|███████████████▏ | 4557/9000 [2:41:12<4:53:11, 3.96s/it] {'lm_loss': '0.0004672', 'visual_loss': '2.613', 'seg_loss': '0.6653', 'dino_loss': '0.9043', 'depth_loss': '0.3287', 'vggt_mse_loss': '0.3267', 'vggt_cos_loss': '0.02015', 'pidinet_loss': '0.2075', 'siglip_loss': '0.5071', 'epoch': '0.1639'} + 51%|███████████████▏ | 4557/9000 [2:41:15<4:53:11, 3.96s/it][Dataset] cur_step=4558 phase=B_anchor_generation +[Dataset] cur_step=4558 phase=B_anchor_generation +[Dataset] cur_step=4558 phase=B_anchor_generation +[Dataset] cur_step=4558 phase=B_anchor_generation +[Dataset] cur_step=4558 phase=B_anchor_generation +[Dataset] cur_step=4558 phase=B_anchor_generation +[Dataset] cur_step=4558 phase=B_anchor_generation + 51%|███████████████▏ | 4558/9000 [2:41:18<5:46:49, 4.68s/it][Dataset] cur_step=4558 phase=B_anchor_generation + {'loss': '2.75', 'grad_norm': '1.898', 'learning_rate': '2.653e-05', 'epoch': '0.164'} + 51%|███████████████▏ | 4558/9000 [2:41:18<5:46:49, 4.68s/it] {'lm_loss': '0.0003013', 'visual_loss': '2.61', 'seg_loss': '0.5156', 'dino_loss': '0.8952', 'depth_loss': '0.2845', 'vggt_mse_loss': '0.2826', 'vggt_cos_loss': '0.01842', 'pidinet_loss': '0.2579', 'siglip_loss': '0.6565', 'epoch': '0.164'} + 51%|███████████████▏ | 4558/9000 [2:41:22<5:46:49, 4.68s/it][Dataset] cur_step=4559 phase=B_anchor_generation + 51%|███████████████▏ | 4559/9000 [2:41:23<5:35:42, 4.54s/it][Dataset] cur_step=4559 phase=B_anchor_generation +[Dataset] cur_step=4559 phase=B_anchor_generation +[Dataset] cur_step=4559 phase=B_anchor_generation[Dataset] cur_step=4559 phase=B_anchor_generation + +[Dataset] cur_step=4559 phase=B_anchor_generation +[Dataset] cur_step=4559 phase=B_anchor_generation +[Dataset] cur_step=4559 phase=B_anchor_generation + {'loss': '2.705', 'grad_norm': '3.306', 'learning_rate': '2.652e-05', 'epoch': '0.164'} + 51%|███████████████▏ | 4559/9000 [2:41:23<5:35:42, 4.54s/it] {'lm_loss': '0.0003368', 'visual_loss': '2.721', 'seg_loss': '0.7426', 'dino_loss': '0.9144', 'depth_loss': '0.2517', 'vggt_mse_loss': '0.2499', 'vggt_cos_loss': '0.01748', 'pidinet_loss': '0.1718', 'siglip_loss': '0.6406', 'epoch': '0.164'} + 51%|███████████████▏ | 4559/9000 [2:41:26<5:35:42, 4.54s/it][Dataset] cur_step=4560 phase=B_anchor_generation +[Dataset] cur_step=4560 phase=B_anchor_generation +[Dataset] cur_step=4560 phase=B_anchor_generation + 51%|███████████████▏ | 4560/9000 [2:41:27<5:24:56, 4.39s/it][Dataset] cur_step=4560 phase=B_anchor_generation +[Dataset] cur_step=4560 phase=B_anchor_generation +[Dataset] cur_step=4560 phase=B_anchor_generation +[Dataset] cur_step=4560 phase=B_anchor_generation +[Dataset] cur_step=4560 phase=B_anchor_generation + {'loss': '2.847', 'grad_norm': '1.526', 'learning_rate': '2.651e-05', 'epoch': '0.164'} + 51%|███████████████▏ | 4560/9000 [2:41:27<5:24:56, 4.39s/it] {'lm_loss': '0.0001878', 'visual_loss': '2.839', 'seg_loss': '0.7015', 'dino_loss': '0.9233', 'depth_loss': '0.2531', 'vggt_mse_loss': '0.2518', 'vggt_cos_loss': '0.01331', 'pidinet_loss': '0.2233', 'siglip_loss': '0.7377', 'epoch': '0.164'} + 51%|███████████████▏ | 4560/9000 [2:41:30<5:24:56, 4.39s/it][Dataset] cur_step=4561 phase=B_anchor_generation +[Dataset] cur_step=4561 phase=B_anchor_generation +[Dataset] cur_step=4561 phase=B_anchor_generation +[Dataset] cur_step=4561 phase=B_anchor_generation +[Dataset] cur_step=4561 phase=B_anchor_generation +[Dataset] cur_step=4561 phase=B_anchor_generation + 51%|███████████████▏ | 4561/9000 [2:41:31<5:17:20, 4.29s/it][Dataset] cur_step=4561 phase=B_anchor_generation +[Dataset] cur_step=4561 phase=B_anchor_generation + {'loss': '2.8', 'grad_norm': '2.163', 'learning_rate': '2.651e-05', 'epoch': '0.1641'} + 51%|███████████████▏ | 4561/9000 [2:41:31<5:17:20, 4.29s/it] {'lm_loss': '0.0005334', 'visual_loss': '2.717', 'seg_loss': '0.6904', 'dino_loss': '0.8853', 'depth_loss': '0.2627', 'vggt_mse_loss': '0.2606', 'vggt_cos_loss': '0.02109', 'pidinet_loss': '0.2436', 'siglip_loss': '0.6351', 'epoch': '0.1641'} + 51%|███████████████▏ | 4561/9000 [2:41:34<5:17:20, 4.29s/it][Dataset] cur_step=4562 phase=B_anchor_generation +[Dataset] cur_step=4562 phase=B_anchor_generation +[Dataset] cur_step=4562 phase=B_anchor_generation +[Dataset] cur_step=4562 phase=B_anchor_generation +[Dataset] cur_step=4562 phase=B_anchor_generation +[Dataset] cur_step=4562 phase=B_anchor_generation + 51%|███████████████▏ | 4562/9000 [2:41:35<5:10:04, 4.19s/it][Dataset] cur_step=4562 phase=B_anchor_generation +[Dataset] cur_step=4562 phase=B_anchor_generation + {'loss': '2.706', 'grad_norm': '2.295', 'learning_rate': '2.65e-05', 'epoch': '0.1641'} + 51%|███████████████▏ | 4562/9000 [2:41:35<5:10:04, 4.19s/it] {'lm_loss': '0.0004752', 'visual_loss': '2.664', 'seg_loss': '0.7295', 'dino_loss': '0.9054', 'depth_loss': '0.2807', 'vggt_mse_loss': '0.2787', 'vggt_cos_loss': '0.01983', 'pidinet_loss': '0.2017', 'siglip_loss': '0.5469', 'epoch': '0.1641'} + 51%|███████████████▏ | 4562/9000 [2:41:38<5:10:04, 4.19s/it][Dataset] cur_step=4563 phase=B_anchor_generation[Dataset] cur_step=4563 phase=B_anchor_generation + +[Dataset] cur_step=4563 phase=B_anchor_generation +[Dataset] cur_step=4563 phase=B_anchor_generation +[Dataset] cur_step=4563 phase=B_anchor_generation +[Dataset] cur_step=4563 phase=B_anchor_generation +[Dataset] cur_step=4563 phase=B_anchor_generation + 51%|███████████████▏ | 4563/9000 [2:41:39<5:04:55, 4.12s/it][Dataset] cur_step=4563 phase=B_anchor_generation + {'loss': '2.736', 'grad_norm': '2.16', 'learning_rate': '2.649e-05', 'epoch': '0.1642'} + 51%|███████████████▏ | 4563/9000 [2:41:39<5:04:55, 4.12s/it] {'lm_loss': '0.0004669', 'visual_loss': '2.851', 'seg_loss': '0.6184', 'dino_loss': '0.8949', 'depth_loss': '0.257', 'vggt_mse_loss': '0.2551', 'vggt_cos_loss': '0.01944', 'pidinet_loss': '0.2735', 'siglip_loss': '0.8071', 'epoch': '0.1642'} + 51%|███████████████▏ | 4563/9000 [2:41:42<5:04:55, 4.12s/it][Dataset] cur_step=4564 phase=B_anchor_generation[Dataset] cur_step=4564 phase=B_anchor_generation + +[Dataset] cur_step=4564 phase=B_anchor_generation +[Dataset] cur_step=4564 phase=B_anchor_generation +[Dataset] cur_step=4564 phase=B_anchor_generation +[Dataset] cur_step=4564 phase=B_anchor_generation + 51%|███████████████▏ | 4564/9000 [2:41:46<6:23:11, 5.18s/it][Dataset] cur_step=4564 phase=B_anchor_generation +[Dataset] cur_step=4564 phase=B_anchor_generation + {'loss': '2.727', 'grad_norm': '1.557', 'learning_rate': '2.648e-05', 'epoch': '0.1642'} + 51%|███████████████▏ | 4564/9000 [2:41:46<6:23:11, 5.18s/it] {'lm_loss': '0.0002453', 'visual_loss': '2.992', 'seg_loss': '0.777', 'dino_loss': '0.9234', 'depth_loss': '0.2666', 'vggt_mse_loss': '0.2649', 'vggt_cos_loss': '0.01764', 'pidinet_loss': '0.2595', 'siglip_loss': '0.7658', 'epoch': '0.1642'} + 51%|███████████████▏ | 4564/9000 [2:41:49<6:23:11, 5.18s/it][Dataset] cur_step=4565 phase=B_anchor_generation +[Dataset] cur_step=4565 phase=B_anchor_generation +[Dataset] cur_step=4565 phase=B_anchor_generation +[Dataset] cur_step=4565 phase=B_anchor_generation[Dataset] cur_step=4565 phase=B_anchor_generation + +[Dataset] cur_step=4565 phase=B_anchor_generation +[Dataset] cur_step=4565 phase=B_anchor_generation + 51%|███████████████▏ | 4565/9000 [2:41:50<5:44:56, 4.67s/it][Dataset] cur_step=4565 phase=B_anchor_generation + {'loss': '2.837', 'grad_norm': '1.251', 'learning_rate': '2.647e-05', 'epoch': '0.1642'} + 51%|███████████████▏ | 4565/9000 [2:41:50<5:44:56, 4.67s/it] {'lm_loss': '0.0002084', 'visual_loss': '2.833', 'seg_loss': '0.8164', 'dino_loss': '0.9148', 'depth_loss': '0.3095', 'vggt_mse_loss': '0.3074', 'vggt_cos_loss': '0.02065', 'pidinet_loss': '0.2509', 'siglip_loss': '0.5416', 'epoch': '0.1642'} + 51%|███████████████▏ | 4565/9000 [2:41:53<5:44:56, 4.67s/it][Dataset] cur_step=4566 phase=B_anchor_generation +[Dataset] cur_step=4566 phase=B_anchor_generation +[Dataset] cur_step=4566 phase=B_anchor_generation +[Dataset] cur_step=4566 phase=B_anchor_generation[Dataset] cur_step=4566 phase=B_anchor_generation + +[Dataset] cur_step=4566 phase=B_anchor_generation + 51%|███████████████▏ | 4566/9000 [2:41:54<5:36:31, 4.55s/it][Dataset] cur_step=4566 phase=B_anchor_generation +[Dataset] cur_step=4566 phase=B_anchor_generation + {'loss': '2.821', 'grad_norm': '1.964', 'learning_rate': '2.646e-05', 'epoch': '0.1643'} + 51%|███████████████▏ | 4566/9000 [2:41:54<5:36:31, 4.55s/it] {'lm_loss': '0.0001693', 'visual_loss': '2.979', 'seg_loss': '0.7542', 'dino_loss': '0.9222', 'depth_loss': '0.4339', 'vggt_mse_loss': '0.4312', 'vggt_cos_loss': '0.02696', 'pidinet_loss': '0.2009', 'siglip_loss': '0.6678', 'epoch': '0.1643'} + 51%|███████████████▏ | 4566/9000 [2:41:57<5:36:31, 4.55s/it][Dataset] cur_step=4567 phase=B_anchor_generation +[Dataset] cur_step=4567 phase=B_anchor_generation +[Dataset] cur_step=4567 phase=B_anchor_generation +[Dataset] cur_step=4567 phase=B_anchor_generation[Dataset] cur_step=4567 phase=B_anchor_generation + + 51%|███████████████▏ | 4567/9000 [2:41:58<5:31:25, 4.49s/it][Dataset] cur_step=4567 phase=B_anchor_generation +[Dataset] cur_step=4567 phase=B_anchor_generation +[Dataset] cur_step=4567 phase=B_anchor_generation + {'loss': '2.821', 'grad_norm': '1.265', 'learning_rate': '2.645e-05', 'epoch': '0.1643'} + 51%|███████████████▏ | 4567/9000 [2:41:58<5:31:25, 4.49s/it] {'lm_loss': '9.669e-05', 'visual_loss': '2.848', 'seg_loss': '0.6852', 'dino_loss': '0.9315', 'depth_loss': '0.2432', 'vggt_mse_loss': '0.2417', 'vggt_cos_loss': '0.01479', 'pidinet_loss': '0.253', 'siglip_loss': '0.7355', 'epoch': '0.1643'} + 51%|███████████████▏ | 4567/9000 [2:42:02<5:31:25, 4.49s/it][Dataset] cur_step=4568 phase=B_anchor_generation +[Dataset] cur_step=4568 phase=B_anchor_generation + 51%|███████████████▏ | 4568/9000 [2:42:04<5:58:09, 4.85s/it][Dataset] cur_step=4568 phase=B_anchor_generation +[Dataset] cur_step=4568 phase=B_anchor_generation +[Dataset] cur_step=4568 phase=B_anchor_generation +[Dataset] cur_step=4568 phase=B_anchor_generation +[Dataset] cur_step=4568 phase=B_anchor_generation +[Dataset] cur_step=4568 phase=B_anchor_generation + {'loss': '2.811', 'grad_norm': '1.158', 'learning_rate': '2.644e-05', 'epoch': '0.1643'} + 51%|███████████████▏ | 4568/9000 [2:42:04<5:58:09, 4.85s/it] {'lm_loss': '0.0001765', 'visual_loss': '2.628', 'seg_loss': '0.7442', 'dino_loss': '0.912', 'depth_loss': '0.2149', 'vggt_mse_loss': '0.2134', 'vggt_cos_loss': '0.01559', 'pidinet_loss': '0.2019', 'siglip_loss': '0.5551', 'epoch': '0.1643'} + 51%|███████████████▏ | 4568/9000 [2:42:07<5:58:09, 4.85s/it][Dataset] cur_step=4569 phase=B_anchor_generation +[Dataset] cur_step=4569 phase=B_anchor_generation[Dataset] cur_step=4569 phase=B_anchor_generation + +[Dataset] cur_step=4569 phase=B_anchor_generation +[Dataset] cur_step=4569 phase=B_anchor_generation +[Dataset] cur_step=4569 phase=B_anchor_generation + 51%|███████████████▏ | 4569/9000 [2:42:08<5:32:19, 4.50s/it][Dataset] cur_step=4569 phase=B_anchor_generation +[Dataset] cur_step=4569 phase=B_anchor_generation + {'loss': '2.753', 'grad_norm': '1.751', 'learning_rate': '2.643e-05', 'epoch': '0.1644'} + 51%|███████████████▏ | 4569/9000 [2:42:08<5:32:19, 4.50s/it] {'lm_loss': '0.000172', 'visual_loss': '2.842', 'seg_loss': '0.7608', 'dino_loss': '0.9254', 'depth_loss': '0.328', 'vggt_mse_loss': '0.3257', 'vggt_cos_loss': '0.02309', 'pidinet_loss': '0.2323', 'siglip_loss': '0.5958', 'epoch': '0.1644'} + 51%|███████████████▏ | 4569/9000 [2:42:11<5:32:19, 4.50s/it][Dataset] cur_step=4570 phase=B_anchor_generation[Dataset] cur_step=4570 phase=B_anchor_generation + +[Dataset] cur_step=4570 phase=B_anchor_generation +[Dataset] cur_step=4570 phase=B_anchor_generation +[Dataset] cur_step=4570 phase=B_anchor_generation +[Dataset] cur_step=4570 phase=B_anchor_generation + 51%|███████████████▏ | 4570/9000 [2:42:12<5:34:09, 4.53s/it][Dataset] cur_step=4570 phase=B_anchor_generation +[Dataset] cur_step=4570 phase=B_anchor_generation + {'loss': '2.776', 'grad_norm': '1.251', 'learning_rate': '2.642e-05', 'epoch': '0.1644'} + 51%|███████████████▏ | 4570/9000 [2:42:12<5:34:09, 4.53s/it] {'lm_loss': '0.0002063', 'visual_loss': '2.83', 'seg_loss': '0.7186', 'dino_loss': '0.9231', 'depth_loss': '0.2671', 'vggt_mse_loss': '0.2654', 'vggt_cos_loss': '0.01748', 'pidinet_loss': '0.2411', 'siglip_loss': '0.6803', 'epoch': '0.1644'} + 51%|███████████████▏ | 4570/9000 [2:42:16<5:34:09, 4.53s/it][Dataset] cur_step=4571 phase=B_anchor_generation +[Dataset] cur_step=4571 phase=B_anchor_generation +[Dataset] cur_step=4571 phase=B_anchor_generation +[Dataset] cur_step=4571 phase=B_anchor_generation +[Dataset] cur_step=4571 phase=B_anchor_generation +[Dataset] cur_step=4571 phase=B_anchor_generation + 51%|███████████████▏ | 4571/9000 [2:42:16<5:20:38, 4.34s/it][Dataset] cur_step=4571 phase=B_anchor_generation +[Dataset] cur_step=4571 phase=B_anchor_generation + {'loss': '2.645', 'grad_norm': '1.451', 'learning_rate': '2.641e-05', 'epoch': '0.1644'} + 51%|███████████████▏ | 4571/9000 [2:42:16<5:20:38, 4.34s/it] {'lm_loss': '0.000136', 'visual_loss': '2.832', 'seg_loss': '0.772', 'dino_loss': '0.9095', 'depth_loss': '0.2281', 'vggt_mse_loss': '0.2266', 'vggt_cos_loss': '0.01468', 'pidinet_loss': '0.2326', 'siglip_loss': '0.6901', 'epoch': '0.1644'} + 51%|███████████████▏ | 4571/9000 [2:42:22<5:20:38, 4.34s/it][Dataset] cur_step=4572 phase=B_anchor_generation +[Dataset] cur_step=4572 phase=B_anchor_generation + 51%|███████████████▏ | 4572/9000 [2:42:22<5:58:32, 4.86s/it][Dataset] cur_step=4572 phase=B_anchor_generation +[Dataset] cur_step=4572 phase=B_anchor_generation +[Dataset] cur_step=4572 phase=B_anchor_generation +[Dataset] cur_step=4572 phase=B_anchor_generation +[Dataset] cur_step=4572 phase=B_anchor_generation +[Dataset] cur_step=4572 phase=B_anchor_generation + {'loss': '2.727', 'grad_norm': '1.649', 'learning_rate': '2.64e-05', 'epoch': '0.1645'} + 51%|███████████████▏ | 4572/9000 [2:42:22<5:58:32, 4.86s/it] {'lm_loss': '0.0001735', 'visual_loss': '2.942', 'seg_loss': '0.7437', 'dino_loss': '0.9047', 'depth_loss': '0.3923', 'vggt_mse_loss': '0.3902', 'vggt_cos_loss': '0.02099', 'pidinet_loss': '0.1653', 'siglip_loss': '0.736', 'epoch': '0.1645'} + 51%|███████████████▏ | 4572/9000 [2:42:26<5:58:32, 4.86s/it][Dataset] cur_step=4573 phase=B_anchor_generation +[Dataset] cur_step=4573 phase=B_anchor_generation +[Dataset] cur_step=4573 phase=B_anchor_generation +[Dataset] cur_step=4573 phase=B_anchor_generation +[Dataset] cur_step=4573 phase=B_anchor_generation +[Dataset] cur_step=4573 phase=B_anchor_generation + 51%|███████████████▏ | 4573/9000 [2:42:27<5:56:11, 4.83s/it][Dataset] cur_step=4573 phase=B_anchor_generation +[Dataset] cur_step=4573 phase=B_anchor_generation + {'loss': '2.794', 'grad_norm': '37.26', 'learning_rate': '2.64e-05', 'epoch': '0.1645'} + 51%|███████████████▏ | 4573/9000 [2:42:27<5:56:11, 4.83s/it] {'lm_loss': '0.0001672', 'visual_loss': '2.686', 'seg_loss': '0.7049', 'dino_loss': '0.9293', 'depth_loss': '0.2488', 'vggt_mse_loss': '0.247', 'vggt_cos_loss': '0.01735', 'pidinet_loss': '0.2484', 'siglip_loss': '0.5543', 'epoch': '0.1645'} + 51%|███████████████▏ | 4573/9000 [2:42:30<5:56:11, 4.83s/it][Dataset] cur_step=4574 phase=B_anchor_generation +[Dataset] cur_step=4574 phase=B_anchor_generation +[Dataset] cur_step=4574 phase=B_anchor_generation[Dataset] cur_step=4574 phase=B_anchor_generation + +[Dataset] cur_step=4574 phase=B_anchor_generation +[Dataset] cur_step=4574 phase=B_anchor_generation + 51%|███████████████▏ | 4574/9000 [2:42:33<6:16:17, 5.10s/it][Dataset] cur_step=4574 phase=B_anchor_generation +[Dataset] cur_step=4574 phase=B_anchor_generation + {'loss': '2.71', 'grad_norm': '7.737', 'learning_rate': '2.639e-05', 'epoch': '0.1646'} + 51%|███████████████▏ | 4574/9000 [2:42:33<6:16:17, 5.10s/it] {'lm_loss': '0.0001671', 'visual_loss': '2.691', 'seg_loss': '0.6871', 'dino_loss': '0.901', 'depth_loss': '0.2566', 'vggt_mse_loss': '0.2548', 'vggt_cos_loss': '0.01829', 'pidinet_loss': '0.2482', 'siglip_loss': '0.5982', 'epoch': '0.1646'} + 51%|███████████████▏ | 4574/9000 [2:42:36<6:16:17, 5.10s/it][Dataset] cur_step=4575 phase=B_anchor_generation +[Dataset] cur_step=4575 phase=B_anchor_generation +[Dataset] cur_step=4575 phase=B_anchor_generation +[Dataset] cur_step=4575 phase=B_anchor_generation +[Dataset] cur_step=4575 phase=B_anchor_generation +[Dataset] cur_step=4575 phase=B_anchor_generation + 51%|███████████████▎ | 4575/9000 [2:42:37<6:03:46, 4.93s/it][Dataset] cur_step=4575 phase=B_anchor_generation +[Dataset] cur_step=4575 phase=B_anchor_generation + {'loss': '2.69', 'grad_norm': '2.868', 'learning_rate': '2.638e-05', 'epoch': '0.1646'} + 51%|███████████████▎ | 4575/9000 [2:42:37<6:03:46, 4.93s/it] {'lm_loss': '0.0001106', 'visual_loss': '2.987', 'seg_loss': '0.7067', 'dino_loss': '0.9234', 'depth_loss': '0.316', 'vggt_mse_loss': '0.3135', 'vggt_cos_loss': '0.0241', 'pidinet_loss': '0.2283', 'siglip_loss': '0.813', 'epoch': '0.1646'} + 51%|███████████████▎ | 4575/9000 [2:42:40<6:03:46, 4.93s/it][Dataset] cur_step=4576 phase=B_anchor_generation +[Dataset] cur_step=4576 phase=B_anchor_generation +[Dataset] cur_step=4576 phase=B_anchor_generation[Dataset] cur_step=4576 phase=B_anchor_generation + +[Dataset] cur_step=4576 phase=B_anchor_generation + 51%|███████████████▎ | 4576/9000 [2:42:42<5:47:21, 4.71s/it][Dataset] cur_step=4576 phase=B_anchor_generation +[Dataset] cur_step=4576 phase=B_anchor_generation +[Dataset] cur_step=4576 phase=B_anchor_generation + {'loss': '2.794', 'grad_norm': '2.897', 'learning_rate': '2.637e-05', 'epoch': '0.1646'} + 51%|███████████████▎ | 4576/9000 [2:42:42<5:47:21, 4.71s/it] {'lm_loss': '0.0001549', 'visual_loss': '2.719', 'seg_loss': '0.7005', 'dino_loss': '0.9267', 'depth_loss': '0.2583', 'vggt_mse_loss': '0.2569', 'vggt_cos_loss': '0.01345', 'pidinet_loss': '0.2466', 'siglip_loss': '0.5873', 'epoch': '0.1646'} + 51%|███████████████▎ | 4576/9000 [2:42:45<5:47:21, 4.71s/it][Dataset] cur_step=4577 phase=B_anchor_generation +[Dataset] cur_step=4577 phase=B_anchor_generation +[Dataset] cur_step=4577 phase=B_anchor_generation[Dataset] cur_step=4577 phase=B_anchor_generation + 51%|███████████████▎ | 4577/9000 [2:42:45<5:26:25, 4.43s/it] +[Dataset] cur_step=4577 phase=B_anchor_generation +[Dataset] cur_step=4577 phase=B_anchor_generation +[Dataset] cur_step=4577 phase=B_anchor_generation +[Dataset] cur_step=4577 phase=B_anchor_generation + {'loss': '2.782', 'grad_norm': '1.581', 'learning_rate': '2.636e-05', 'epoch': '0.1647'} + 51%|███████████████▎ | 4577/9000 [2:42:45<5:26:25, 4.43s/it] {'lm_loss': '0.0001603', 'visual_loss': '2.709', 'seg_loss': '0.7107', 'dino_loss': '0.9059', 'depth_loss': '0.2602', 'vggt_mse_loss': '0.2585', 'vggt_cos_loss': '0.01679', 'pidinet_loss': '0.2358', 'siglip_loss': '0.596', 'epoch': '0.1647'} + 51%|███████████████▎ | 4577/9000 [2:42:48<5:26:25, 4.43s/it][Dataset] cur_step=4578 phase=B_anchor_generation +[Dataset] cur_step=4578 phase=B_anchor_generation +[Dataset] cur_step=4578 phase=B_anchor_generation +[Dataset] cur_step=4578 phase=B_anchor_generation +[Dataset] cur_step=4578 phase=B_anchor_generation +[Dataset] cur_step=4578 phase=B_anchor_generation +[Dataset] cur_step=4578 phase=B_anchor_generation +[Dataset] cur_step=4578 phase=B_anchor_generation + 51%|███████████████▎ | 4578/9000 [2:42:51<5:55:23, 4.82s/it] {'loss': '2.77', 'grad_norm': '1.401', 'learning_rate': '2.635e-05', 'epoch': '0.1647'} + 51%|███████████████▎ | 4578/9000 [2:42:51<5:55:23, 4.82s/it] {'lm_loss': '8.315e-05', 'visual_loss': '2.893', 'seg_loss': '0.7801', 'dino_loss': '0.9175', 'depth_loss': '0.4036', 'vggt_mse_loss': '0.3998', 'vggt_cos_loss': '0.0384', 'pidinet_loss': '0.2727', 'siglip_loss': '0.5189', 'epoch': '0.1647'} + 51%|███████████████▎ | 4578/9000 [2:42:54<5:55:23, 4.82s/it][Dataset] cur_step=4579 phase=B_anchor_generation[Dataset] cur_step=4579 phase=B_anchor_generation[Dataset] cur_step=4579 phase=B_anchor_generation + + +[Dataset] cur_step=4579 phase=B_anchor_generation +[Dataset] cur_step=4579 phase=B_anchor_generation[Dataset] cur_step=4579 phase=B_anchor_generation + +[Dataset] cur_step=4579 phase=B_anchor_generation + 51%|███████████████▎ | 4579/9000 [2:42:55<5:38:14, 4.59s/it][Dataset] cur_step=4579 phase=B_anchor_generation + {'loss': '2.727', 'grad_norm': '1.859', 'learning_rate': '2.634e-05', 'epoch': '0.1647'} + 51%|███████████████▎ | 4579/9000 [2:42:55<5:38:14, 4.59s/it] {'lm_loss': '0.0001687', 'visual_loss': '2.813', 'seg_loss': '0.7117', 'dino_loss': '0.9227', 'depth_loss': '0.2693', 'vggt_mse_loss': '0.2674', 'vggt_cos_loss': '0.01903', 'pidinet_loss': '0.2246', 'siglip_loss': '0.6844', 'epoch': '0.1647'} + 51%|███████████████▎ | 4579/9000 [2:42:59<5:38:14, 4.59s/it][Dataset] cur_step=4580 phase=B_anchor_generation[Dataset] cur_step=4580 phase=B_anchor_generation + +[Dataset] cur_step=4580 phase=B_anchor_generation +[Dataset] cur_step=4580 phase=B_anchor_generation +[Dataset] cur_step=4580 phase=B_anchor_generation +[Dataset] cur_step=4580 phase=B_anchor_generation +[Dataset] cur_step=4580 phase=B_anchor_generation +[Dataset] cur_step=4580 phase=B_anchor_generation + 51%|███████████████▎ | 4580/9000 [2:43:02<6:18:36, 5.14s/it] {'loss': '2.74', 'grad_norm': '1.2', 'learning_rate': '2.633e-05', 'epoch': '0.1648'} + 51%|███████████████▎ | 4580/9000 [2:43:02<6:18:36, 5.14s/it] {'lm_loss': '0.0001536', 'visual_loss': '2.468', 'seg_loss': '0.6981', 'dino_loss': '0.8989', 'depth_loss': '0.2492', 'vggt_mse_loss': '0.2476', 'vggt_cos_loss': '0.01592', 'pidinet_loss': '0.1889', 'siglip_loss': '0.433', 'epoch': '0.1648'} + 51%|███████████████▎ | 4580/9000 [2:43:05<6:18:36, 5.14s/it][Dataset] cur_step=4581 phase=B_anchor_generation +[Dataset] cur_step=4581 phase=B_anchor_generation +[Dataset] cur_step=4581 phase=B_anchor_generation[Dataset] cur_step=4581 phase=B_anchor_generation + +[Dataset] cur_step=4581 phase=B_anchor_generation[Dataset] cur_step=4581 phase=B_anchor_generation + +[Dataset] cur_step=4581 phase=B_anchor_generation + 51%|███████████████▎ | 4581/9000 [2:43:05<5:47:42, 4.72s/it][Dataset] cur_step=4581 phase=B_anchor_generation + {'loss': '2.708', 'grad_norm': '1.374', 'learning_rate': '2.632e-05', 'epoch': '0.1648'} + 51%|███████████████▎ | 4581/9000 [2:43:05<5:47:42, 4.72s/it] {'lm_loss': '9.573e-05', 'visual_loss': '2.704', 'seg_loss': '0.7183', 'dino_loss': '0.9113', 'depth_loss': '0.2257', 'vggt_mse_loss': '0.2243', 'vggt_cos_loss': '0.01346', 'pidinet_loss': '0.1861', 'siglip_loss': '0.6628', 'epoch': '0.1648'} + 51%|███████████████▎ | 4581/9000 [2:43:09<5:47:42, 4.72s/it][Dataset] cur_step=4582 phase=B_anchor_generation +[Dataset] cur_step=4582 phase=B_anchor_generation +[Dataset] cur_step=4582 phase=B_anchor_generation +[Dataset] cur_step=4582 phase=B_anchor_generation +[Dataset] cur_step=4582 phase=B_anchor_generation +[Dataset] cur_step=4582 phase=B_anchor_generation +[Dataset] cur_step=4582 phase=B_anchor_generation +[Dataset] cur_step=4582 phase=B_anchor_generation + 51%|███████████████▎ | 4582/9000 [2:43:11<6:18:24, 5.14s/it] {'loss': '2.784', 'grad_norm': '1.352', 'learning_rate': '2.631e-05', 'epoch': '0.1648'} + 51%|███████████████▎ | 4582/9000 [2:43:11<6:18:24, 5.14s/it] {'lm_loss': '0.0001147', 'visual_loss': '2.799', 'seg_loss': '0.7772', 'dino_loss': '0.9188', 'depth_loss': '0.2692', 'vggt_mse_loss': '0.2673', 'vggt_cos_loss': '0.01893', 'pidinet_loss': '0.2606', 'siglip_loss': '0.5729', 'epoch': '0.1648'} + 51%|███████████████▎ | 4582/9000 [2:43:15<6:18:24, 5.14s/it][Dataset] cur_step=4583 phase=B_anchor_generation +[Dataset] cur_step=4583 phase=B_anchor_generation +[Dataset] cur_step=4583 phase=B_anchor_generation + 51%|███████████████▎ | 4583/9000 [2:43:15<5:51:47, 4.78s/it][Dataset] cur_step=4583 phase=B_anchor_generation +[Dataset] cur_step=4583 phase=B_anchor_generation +[Dataset] cur_step=4583 phase=B_anchor_generation +[Dataset] cur_step=4583 phase=B_anchor_generation +[Dataset] cur_step=4583 phase=B_anchor_generation + {'loss': '2.677', 'grad_norm': '1.112', 'learning_rate': '2.63e-05', 'epoch': '0.1649'} + 51%|███████████████▎ | 4583/9000 [2:43:15<5:51:47, 4.78s/it] {'lm_loss': '0.0001218', 'visual_loss': '2.796', 'seg_loss': '0.6767', 'dino_loss': '0.8882', 'depth_loss': '0.2286', 'vggt_mse_loss': '0.2268', 'vggt_cos_loss': '0.01765', 'pidinet_loss': '0.3083', 'siglip_loss': '0.6942', 'epoch': '0.1649'} + 51%|███████████████▎ | 4583/9000 [2:43:19<5:51:47, 4.78s/it][Dataset] cur_step=4584 phase=B_anchor_generation +[Dataset] cur_step=4584 phase=B_anchor_generation + 51%|███████████████▎ | 4584/9000 [2:43:20<5:38:53, 4.60s/it][Dataset] cur_step=4584 phase=B_anchor_generation +[Dataset] cur_step=4584 phase=B_anchor_generation[Dataset] cur_step=4584 phase=B_anchor_generation + +[Dataset] cur_step=4584 phase=B_anchor_generation +[Dataset] cur_step=4584 phase=B_anchor_generation +[Dataset] cur_step=4584 phase=B_anchor_generation + {'loss': '2.791', 'grad_norm': '3.635', 'learning_rate': '2.629e-05', 'epoch': '0.1649'} + 51%|███████████████▎ | 4584/9000 [2:43:20<5:38:53, 4.60s/it] {'lm_loss': '0.0001041', 'visual_loss': '2.919', 'seg_loss': '0.8062', 'dino_loss': '0.9321', 'depth_loss': '0.312', 'vggt_mse_loss': '0.3099', 'vggt_cos_loss': '0.02171', 'pidinet_loss': '0.2592', 'siglip_loss': '0.6096', 'epoch': '0.1649'} + 51%|███████████████▎ | 4584/9000 [2:43:23<5:38:53, 4.60s/it][Dataset] cur_step=4585 phase=B_anchor_generation +[Dataset] cur_step=4585 phase=B_anchor_generation +[Dataset] cur_step=4585 phase=B_anchor_generation +[Dataset] cur_step=4585 phase=B_anchor_generation +[Dataset] cur_step=4585 phase=B_anchor_generation +[Dataset] cur_step=4585 phase=B_anchor_generation +[Dataset] cur_step=4585 phase=B_anchor_generation[Dataset] cur_step=4585 phase=B_anchor_generation + + 51%|███████████████▎ | 4585/9000 [2:43:24<5:31:59, 4.51s/it] {'loss': '2.68', 'grad_norm': '1.592', 'learning_rate': '2.629e-05', 'epoch': '0.1649'} + 51%|███████████████▎ | 4585/9000 [2:43:24<5:31:59, 4.51s/it] {'lm_loss': '0.0001583', 'visual_loss': '2.528', 'seg_loss': '0.7966', 'dino_loss': '0.9048', 'depth_loss': '0.1995', 'vggt_mse_loss': '0.1982', 'vggt_cos_loss': '0.01224', 'pidinet_loss': '0.1816', 'siglip_loss': '0.4453', 'epoch': '0.1649'} + 51%|███████████████▎ | 4585/9000 [2:43:27<5:31:59, 4.51s/it][Dataset] cur_step=4586 phase=B_anchor_generation[Dataset] cur_step=4586 phase=B_anchor_generation[Dataset] cur_step=4586 phase=B_anchor_generation + + +[Dataset] cur_step=4586 phase=B_anchor_generation[Dataset] cur_step=4586 phase=B_anchor_generation + +[Dataset] cur_step=4586 phase=B_anchor_generation +[Dataset] cur_step=4586 phase=B_anchor_generation +[Dataset] cur_step=4586 phase=B_anchor_generation 51%|███████████████▎ | 4586/9000 [2:43:30<6:11:54, 5.06s/it] + {'loss': '2.739', 'grad_norm': '3.617', 'learning_rate': '2.628e-05', 'epoch': '0.165'} + 51%|███████████████▎ | 4586/9000 [2:43:30<6:11:54, 5.06s/it] {'lm_loss': '0.0001461', 'visual_loss': '2.617', 'seg_loss': '0.6712', 'dino_loss': '0.9181', 'depth_loss': '0.2315', 'vggt_mse_loss': '0.2297', 'vggt_cos_loss': '0.01785', 'pidinet_loss': '0.2253', 'siglip_loss': '0.5711', 'epoch': '0.165'} + 51%|███████████████▎ | 4586/9000 [2:43:34<6:11:54, 5.06s/it][Dataset] cur_step=4587 phase=B_anchor_generation +[Dataset] cur_step=4587 phase=B_anchor_generation +[Dataset] cur_step=4587 phase=B_anchor_generation +[Dataset] cur_step=4587 phase=B_anchor_generation +[Dataset] cur_step=4587 phase=B_anchor_generation +[Dataset] cur_step=4587 phase=B_anchor_generation +[Dataset] cur_step=4587 phase=B_anchor_generation + 51%|███████████████▎ | 4587/9000 [2:43:39<7:35:38, 6.19s/it][Dataset] cur_step=4587 phase=B_anchor_generation + {'loss': '2.735', 'grad_norm': '1.4', 'learning_rate': '2.627e-05', 'epoch': '0.165'} + 51%|███████████████▎ | 4587/9000 [2:43:39<7:35:38, 6.19s/it] {'lm_loss': '0.000154', 'visual_loss': '2.834', 'seg_loss': '0.7993', 'dino_loss': '0.884', 'depth_loss': '0.306', 'vggt_mse_loss': '0.304', 'vggt_cos_loss': '0.01949', 'pidinet_loss': '0.2117', 'siglip_loss': '0.6334', 'epoch': '0.165'} + 51%|███████████████▎ | 4587/9000 [2:43:42<7:35:38, 6.19s/it][Dataset] cur_step=4588 phase=B_anchor_generation[Dataset] cur_step=4588 phase=B_anchor_generation + +[Dataset] cur_step=4588 phase=B_anchor_generation[Dataset] cur_step=4588 phase=B_anchor_generation + +[Dataset] cur_step=4588 phase=B_anchor_generation +[Dataset] cur_step=4588 phase=B_anchor_generation +[Dataset] cur_step=4588 phase=B_anchor_generation + 51%|███████████████▎ | 4588/9000 [2:43:47<8:08:23, 6.64s/it][Dataset] cur_step=4588 phase=B_anchor_generation + {'loss': '2.786', 'grad_norm': '2.005', 'learning_rate': '2.626e-05', 'epoch': '0.1651'} + 51%|███████████████▎ | 4588/9000 [2:43:47<8:08:23, 6.64s/it] {'lm_loss': '0.0002586', 'visual_loss': '2.67', 'seg_loss': '0.7145', 'dino_loss': '0.9098', 'depth_loss': '0.2909', 'vggt_mse_loss': '0.2891', 'vggt_cos_loss': '0.01795', 'pidinet_loss': '0.2378', 'siglip_loss': '0.5172', 'epoch': '0.1651'} + 51%|███████████████▎ | 4588/9000 [2:43:50<8:08:23, 6.64s/it][Dataset] cur_step=4589 phase=B_anchor_generation +[Dataset] cur_step=4589 phase=B_anchor_generation +[Dataset] cur_step=4589 phase=B_anchor_generation +[Dataset] cur_step=4589 phase=B_anchor_generation +[Dataset] cur_step=4589 phase=B_anchor_generation +[Dataset] cur_step=4589 phase=B_anchor_generation +[Dataset] cur_step=4589 phase=B_anchor_generation +[Dataset] cur_step=4589 phase=B_anchor_generation + 51%|███████████████▎ | 4589/9000 [2:43:55<8:41:36, 7.10s/it] {'loss': '2.636', 'grad_norm': '5.174', 'learning_rate': '2.625e-05', 'epoch': '0.1651'} + 51%|███████████████▎ | 4589/9000 [2:43:55<8:41:36, 7.10s/it] {'lm_loss': '0.0001344', 'visual_loss': '2.554', 'seg_loss': '0.7053', 'dino_loss': '0.8988', 'depth_loss': '0.2725', 'vggt_mse_loss': '0.2711', 'vggt_cos_loss': '0.01398', 'pidinet_loss': '0.2106', 'siglip_loss': '0.4668', 'epoch': '0.1651'} + 51%|███████████████▎ | 4589/9000 [2:43:58<8:41:36, 7.10s/it][Dataset] cur_step=4590 phase=B_anchor_generation +[Dataset] cur_step=4590 phase=B_anchor_generation +[Dataset] cur_step=4590 phase=B_anchor_generation[Dataset] cur_step=4590 phase=B_anchor_generation + +[Dataset] cur_step=4590 phase=B_anchor_generation +[Dataset] cur_step=4590 phase=B_anchor_generation +[Dataset] cur_step=4590 phase=B_anchor_generation + 51%|███████████████▎ | 4590/9000 [2:44:02<8:45:55, 7.16s/it][Dataset] cur_step=4590 phase=B_anchor_generation + {'loss': '2.708', 'grad_norm': '1.652', 'learning_rate': '2.624e-05', 'epoch': '0.1651'} + 51%|███████████████▎ | 4590/9000 [2:44:02<8:45:55, 7.16s/it] {'lm_loss': '0.0002525', 'visual_loss': '2.698', 'seg_loss': '0.7133', 'dino_loss': '0.9191', 'depth_loss': '0.2948', 'vggt_mse_loss': '0.2928', 'vggt_cos_loss': '0.02002', 'pidinet_loss': '0.2255', 'siglip_loss': '0.5457', 'epoch': '0.1651'} + 51%|███████████████▎ | 4590/9000 [2:44:05<8:45:55, 7.16s/it][Dataset] cur_step=4591 phase=B_anchor_generation +[Dataset] cur_step=4591 phase=B_anchor_generation +[Dataset] cur_step=4591 phase=B_anchor_generation +[Dataset] cur_step=4591 phase=B_anchor_generation +[Dataset] cur_step=4591 phase=B_anchor_generation +[Dataset] cur_step=4591 phase=B_anchor_generation +[Dataset] cur_step=4591 phase=B_anchor_generation +[Dataset] cur_step=4591 phase=B_anchor_generation + 51%|██████████████▊ | 4591/9000 [2:44:13<10:09:50, 8.30s/it] {'loss': '2.742', 'grad_norm': '1.36', 'learning_rate': '2.623e-05', 'epoch': '0.1652'} + 51%|██████████████▊ | 4591/9000 [2:44:13<10:09:50, 8.30s/it] {'lm_loss': '0.0005498', 'visual_loss': '2.84', 'seg_loss': '0.783', 'dino_loss': '0.8936', 'depth_loss': '0.2938', 'vggt_mse_loss': '0.2919', 'vggt_cos_loss': '0.01882', 'pidinet_loss': '0.2329', 'siglip_loss': '0.6368', 'epoch': '0.1652'} + 51%|██████████████▊ | 4591/9000 [2:44:17<10:09:50, 8.30s/it][Dataset] cur_step=4592 phase=B_anchor_generation +[Dataset] cur_step=4592 phase=B_anchor_generation + 51%|██████████████▊ | 4592/9000 [2:44:25<11:31:35, 9.41s/it][Dataset] cur_step=4592 phase=B_anchor_generation +[Dataset] cur_step=4592 phase=B_anchor_generation +[Dataset] cur_step=4592 phase=B_anchor_generation[Dataset] cur_step=4592 phase=B_anchor_generation + +[Dataset] cur_step=4592 phase=B_anchor_generation +[Dataset] cur_step=4592 phase=B_anchor_generation + {'loss': '2.779', 'grad_norm': '1.371', 'learning_rate': '2.622e-05', 'epoch': '0.1652'} + 51%|██████████████▊ | 4592/9000 [2:44:25<11:31:35, 9.41s/it] {'lm_loss': '0.0001049', 'visual_loss': '2.63', 'seg_loss': '0.7795', 'dino_loss': '0.8975', 'depth_loss': '0.2717', 'vggt_mse_loss': '0.2702', 'vggt_cos_loss': '0.01581', 'pidinet_loss': '0.2221', 'siglip_loss': '0.4592', 'epoch': '0.1652'} + 51%|██████████████▊ | 4592/9000 [2:44:28<11:31:35, 9.41s/it][Dataset] cur_step=4593 phase=B_anchor_generation[Dataset] cur_step=4593 phase=B_anchor_generation + +[Dataset] cur_step=4593 phase=B_anchor_generation +[Dataset] cur_step=4593 phase=B_anchor_generation +[Dataset] cur_step=4593 phase=B_anchor_generation +[Dataset] cur_step=4593 phase=B_anchor_generation +[Dataset] cur_step=4593 phase=B_anchor_generation[Dataset] cur_step=4593 phase=B_anchor_generation + + 51%|██████████████▊ | 4593/9000 [2:44:35<11:50:45, 9.68s/it] {'loss': '2.732', 'grad_norm': '1.563', 'learning_rate': '2.621e-05', 'epoch': '0.1652'} + 51%|██████████████▊ | 4593/9000 [2:44:35<11:50:45, 9.68s/it] {'lm_loss': '0.0001101', 'visual_loss': '2.798', 'seg_loss': '0.6389', 'dino_loss': '0.9213', 'depth_loss': '0.2085', 'vggt_mse_loss': '0.2072', 'vggt_cos_loss': '0.01335', 'pidinet_loss': '0.3244', 'siglip_loss': '0.7049', 'epoch': '0.1652'} + 51%|██████████████▊ | 4593/9000 [2:44:39<11:50:45, 9.68s/it][Dataset] cur_step=4594 phase=B_anchor_generation +[Dataset] cur_step=4594 phase=B_anchor_generation +[Dataset] cur_step=4594 phase=B_anchor_generation +[Dataset] cur_step=4594 phase=B_anchor_generation +[Dataset] cur_step=4594 phase=B_anchor_generation +[Dataset] cur_step=4594 phase=B_anchor_generation +[Dataset] cur_step=4594 phase=B_anchor_generation + 51%|██████████████▊ | 4594/9000 [2:44:46<12:21:33, 10.10s/it][Dataset] cur_step=4594 phase=B_anchor_generation + {'loss': '2.687', 'grad_norm': '1.348', 'learning_rate': '2.62e-05', 'epoch': '0.1653'} + 51%|██████████████▊ | 4594/9000 [2:44:46<12:21:33, 10.10s/it] {'lm_loss': '0.0003773', 'visual_loss': '2.714', 'seg_loss': '0.6598', 'dino_loss': '0.8775', 'depth_loss': '0.2065', 'vggt_mse_loss': '0.205', 'vggt_cos_loss': '0.0157', 'pidinet_loss': '0.3224', 'siglip_loss': '0.6477', 'epoch': '0.1653'} + 51%|██████████████▊ | 4594/9000 [2:44:50<12:21:33, 10.10s/it][Dataset] cur_step=4595 phase=B_anchor_generation +[Dataset] cur_step=4595 phase=B_anchor_generation +[Dataset] cur_step=4595 phase=B_anchor_generation +[Dataset] cur_step=4595 phase=B_anchor_generation +[Dataset] cur_step=4595 phase=B_anchor_generation +[Dataset] cur_step=4595 phase=B_anchor_generation +[Dataset] cur_step=4595 phase=B_anchor_generation +[Dataset] cur_step=4595 phase=B_anchor_generation + 51%|██████████████▊ | 4595/9000 [2:44:59<13:06:23, 10.71s/it] {'loss': '2.683', 'grad_norm': '1.659', 'learning_rate': '2.619e-05', 'epoch': '0.1653'} + 51%|██████████████▊ | 4595/9000 [2:44:59<13:06:23, 10.71s/it] {'lm_loss': '0.0001456', 'visual_loss': '2.614', 'seg_loss': '0.7213', 'dino_loss': '0.9351', 'depth_loss': '0.245', 'vggt_mse_loss': '0.2438', 'vggt_cos_loss': '0.01206', 'pidinet_loss': '0.2152', 'siglip_loss': '0.4975', 'epoch': '0.1653'} + 51%|██████████████▊ | 4595/9000 [2:45:02<13:06:23, 10.71s/it][Dataset] cur_step=4596 phase=B_anchor_generation +[Dataset] cur_step=4596 phase=B_anchor_generation +[Dataset] cur_step=4596 phase=B_anchor_generation[Dataset] cur_step=4596 phase=B_anchor_generation + +[Dataset] cur_step=4596 phase=B_anchor_generation +[Dataset] cur_step=4596 phase=B_anchor_generation +[Dataset] cur_step=4596 phase=B_anchor_generation +[Dataset] cur_step=4596 phase=B_anchor_generation + 51%|██████████████▊ | 4596/9000 [2:45:10<13:23:26, 10.95s/it] {'loss': '2.819', 'grad_norm': '2.926', 'learning_rate': '2.618e-05', 'epoch': '0.1653'} + 51%|██████████████▊ | 4596/9000 [2:45:10<13:23:26, 10.95s/it] {'lm_loss': '0.0001337', 'visual_loss': '2.785', 'seg_loss': '0.5801', 'dino_loss': '0.9294', 'depth_loss': '0.2187', 'vggt_mse_loss': '0.2173', 'vggt_cos_loss': '0.01396', 'pidinet_loss': '0.2121', 'siglip_loss': '0.8448', 'epoch': '0.1653'} + 51%|██████████████▊ | 4596/9000 [2:45:14<13:23:26, 10.95s/it][Dataset] cur_step=4597 phase=B_anchor_generation +[Dataset] cur_step=4597 phase=B_anchor_generation +[Dataset] cur_step=4597 phase=B_anchor_generation +[Dataset] cur_step=4597 phase=B_anchor_generation +[Dataset] cur_step=4597 phase=B_anchor_generation +[Dataset] cur_step=4597 phase=B_anchor_generation +[Dataset] cur_step=4597 phase=B_anchor_generation +[Dataset] cur_step=4597 phase=B_anchor_generation + 51%|██████████████▊ | 4597/9000 [2:45:21<13:20:07, 10.90s/it] {'loss': '2.781', 'grad_norm': '1.897', 'learning_rate': '2.618e-05', 'epoch': '0.1654'} + 51%|██████████████▊ | 4597/9000 [2:45:21<13:20:07, 10.90s/it] {'lm_loss': '0.0003911', 'visual_loss': '2.955', 'seg_loss': '0.7616', 'dino_loss': '0.9208', 'depth_loss': '0.1995', 'vggt_mse_loss': '0.1979', 'vggt_cos_loss': '0.01586', 'pidinet_loss': '0.2707', 'siglip_loss': '0.8028', 'epoch': '0.1654'} + 51%|██████████████▊ | 4597/9000 [2:45:25<13:20:07, 10.90s/it][Dataset] cur_step=4598 phase=B_anchor_generation +[Dataset] cur_step=4598 phase=B_anchor_generation +[Dataset] cur_step=4598 phase=B_anchor_generation +[Dataset] cur_step=4598 phase=B_anchor_generation +[Dataset] cur_step=4598 phase=B_anchor_generation +[Dataset] cur_step=4598 phase=B_anchor_generation +[Dataset] cur_step=4598 phase=B_anchor_generation +[Dataset] cur_step=4598 phase=B_anchor_generation + 51%|██████████████▊ | 4598/9000 [2:45:31<12:54:37, 10.56s/it] {'loss': '2.765', 'grad_norm': '2.031', 'learning_rate': '2.617e-05', 'epoch': '0.1654'} + 51%|██████████████▊ | 4598/9000 [2:45:31<12:54:37, 10.56s/it] {'lm_loss': '0.0004692', 'visual_loss': '2.898', 'seg_loss': '0.5577', 'dino_loss': '0.8896', 'depth_loss': '0.3371', 'vggt_mse_loss': '0.3343', 'vggt_cos_loss': '0.028', 'pidinet_loss': '0.3043', 'siglip_loss': '0.809', 'epoch': '0.1654'} + 51%|██████████████▊ | 4598/9000 [2:45:34<12:54:37, 10.56s/it][Dataset] cur_step=4599 phase=B_anchor_generation +[Dataset] cur_step=4599 phase=B_anchor_generation[Dataset] cur_step=4599 phase=B_anchor_generation + +[Dataset] cur_step=4599 phase=B_anchor_generation[Dataset] cur_step=4599 phase=B_anchor_generation + +[Dataset] cur_step=4599 phase=B_anchor_generation +[Dataset] cur_step=4599 phase=B_anchor_generation + 51%|██████████████▊ | 4599/9000 [2:45:37<11:20:42, 9.28s/it][Dataset] cur_step=4599 phase=B_anchor_generation + {'loss': '2.765', 'grad_norm': '1.47', 'learning_rate': '2.616e-05', 'epoch': '0.1654'} + 51%|██████████████▊ | 4599/9000 [2:45:37<11:20:42, 9.28s/it] {'lm_loss': '0.000192', 'visual_loss': '2.408', 'seg_loss': '0.5834', 'dino_loss': '0.9003', 'depth_loss': '0.3077', 'vggt_mse_loss': '0.3059', 'vggt_cos_loss': '0.01772', 'pidinet_loss': '0.2261', 'siglip_loss': '0.3903', 'epoch': '0.1654'} + 51%|██████████████▊ | 4599/9000 [2:45:41<11:20:42, 9.28s/it][Dataset] cur_step=4600 phase=B_anchor_generation +[Dataset] cur_step=4600 phase=B_anchor_generation +[Dataset] cur_step=4600 phase=B_anchor_generation +[Dataset] cur_step=4600 phase=B_anchor_generation +[Dataset] cur_step=4600 phase=B_anchor_generation +[Dataset] cur_step=4600 phase=B_anchor_generation 51%|███████████████▎ | 4600/9000 [2:45:41<9:28:32, 7.75s/it] +[Dataset] cur_step=4600 phase=B_anchor_generation +[Dataset] cur_step=4600 phase=B_anchor_generation + {'loss': '2.764', 'grad_norm': '1.15', 'learning_rate': '2.615e-05', 'epoch': '0.1655'} + 51%|███████████████▎ | 4600/9000 [2:45:41<9:28:32, 7.75s/it] {'lm_loss': '0.0004351', 'visual_loss': '2.675', 'seg_loss': '0.7254', 'dino_loss': '0.8822', 'depth_loss': '0.3356', 'vggt_mse_loss': '0.334', 'vggt_cos_loss': '0.01612', 'pidinet_loss': '0.2179', 'siglip_loss': '0.5139', 'epoch': '0.1655'} + 51%|███████████████▎ | 4600/9000 [2:45:44<9:28:32, 7.75s/it][Dataset] cur_step=4601 phase=B_anchor_generation +[Dataset] cur_step=4601 phase=B_anchor_generation +[Dataset] cur_step=4601 phase=B_anchor_generation +[Dataset] cur_step=4601 phase=B_anchor_generation +[Dataset] cur_step=4601 phase=B_anchor_generation +[Dataset] cur_step=4601 phase=B_anchor_generation +[Dataset] cur_step=4601 phase=B_anchor_generation + 51%|███████████████▎ | 4601/9000 [2:45:45<8:11:21, 6.70s/it][Dataset] cur_step=4601 phase=B_anchor_generation + {'loss': '2.771', 'grad_norm': '1.709', 'learning_rate': '2.614e-05', 'epoch': '0.1655'} + 51%|███████████████▎ | 4601/9000 [2:45:45<8:11:21, 6.70s/it] {'lm_loss': '0.0003896', 'visual_loss': '2.759', 'seg_loss': '0.6945', 'dino_loss': '0.8985', 'depth_loss': '0.1953', 'vggt_mse_loss': '0.1939', 'vggt_cos_loss': '0.01397', 'pidinet_loss': '0.2258', 'siglip_loss': '0.7447', 'epoch': '0.1655'} + 51%|███████████████▎ | 4601/9000 [2:45:49<8:11:21, 6.70s/it][Dataset] cur_step=4602 phase=B_anchor_generation +[Dataset] cur_step=4602 phase=B_anchor_generation +[Dataset] cur_step=4602 phase=B_anchor_generation +[Dataset] cur_step=4602 phase=B_anchor_generation +[Dataset] cur_step=4602 phase=B_anchor_generation +[Dataset] cur_step=4602 phase=B_anchor_generation +[Dataset] cur_step=4602 phase=B_anchor_generation + 51%|███████████████▎ | 4602/9000 [2:45:50<7:18:07, 5.98s/it][Dataset] cur_step=4602 phase=B_anchor_generation + {'loss': '2.771', 'grad_norm': '1.322', 'learning_rate': '2.613e-05', 'epoch': '0.1656'} + 51%|███████████████▎ | 4602/9000 [2:45:50<7:18:07, 5.98s/it] {'lm_loss': '0.0005065', 'visual_loss': '2.807', 'seg_loss': '0.7641', 'dino_loss': '0.9062', 'depth_loss': '0.2692', 'vggt_mse_loss': '0.2673', 'vggt_cos_loss': '0.01845', 'pidinet_loss': '0.2167', 'siglip_loss': '0.6509', 'epoch': '0.1656'} + 51%|███████████████▎ | 4602/9000 [2:45:53<7:18:07, 5.98s/it][Dataset] cur_step=4603 phase=B_anchor_generation +[Dataset] cur_step=4603 phase=B_anchor_generation +[Dataset] cur_step=4603 phase=B_anchor_generation +[Dataset] cur_step=4603 phase=B_anchor_generation +[Dataset] cur_step=4603 phase=B_anchor_generation +[Dataset] cur_step=4603 phase=B_anchor_generation +[Dataset] cur_step=4603 phase=B_anchor_generation + 51%|███████████████▎ | 4603/9000 [2:45:54<6:39:48, 5.46s/it][Dataset] cur_step=4603 phase=B_anchor_generation + {'loss': '2.777', 'grad_norm': '1.563', 'learning_rate': '2.612e-05', 'epoch': '0.1656'} + 51%|███████████████▎ | 4603/9000 [2:45:54<6:39:48, 5.46s/it] {'lm_loss': '0.0001785', 'visual_loss': '2.619', 'seg_loss': '0.7685', 'dino_loss': '0.9049', 'depth_loss': '0.2666', 'vggt_mse_loss': '0.2649', 'vggt_cos_loss': '0.01696', 'pidinet_loss': '0.2308', 'siglip_loss': '0.4484', 'epoch': '0.1656'} + 51%|███████████████▎ | 4603/9000 [2:45:57<6:39:48, 5.46s/it][Dataset] cur_step=4604 phase=B_anchor_generation +[Dataset] cur_step=4604 phase=B_anchor_generation +[Dataset] cur_step=4604 phase=B_anchor_generation +[Dataset] cur_step=4604 phase=B_anchor_generation +[Dataset] cur_step=4604 phase=B_anchor_generation +[Dataset] cur_step=4604 phase=B_anchor_generation +[Dataset] cur_step=4604 phase=B_anchor_generation +[Dataset] cur_step=4604 phase=B_anchor_generation + 51%|███████████████▎ | 4604/9000 [2:45:58<6:04:46, 4.98s/it] {'loss': '2.705', 'grad_norm': '2.065', 'learning_rate': '2.611e-05', 'epoch': '0.1656'} + 51%|███████████████▎ | 4604/9000 [2:45:58<6:04:46, 4.98s/it] {'lm_loss': '0.0002986', 'visual_loss': '2.754', 'seg_loss': '0.7956', 'dino_loss': '0.9268', 'depth_loss': '0.245', 'vggt_mse_loss': '0.2429', 'vggt_cos_loss': '0.02126', 'pidinet_loss': '0.2047', 'siglip_loss': '0.5822', 'epoch': '0.1656'} + 51%|███████████████▎ | 4604/9000 [2:46:00<6:04:46, 4.98s/it][Dataset] cur_step=4605 phase=B_anchor_generation +[Dataset] cur_step=4605 phase=B_anchor_generation +[Dataset] cur_step=4605 phase=B_anchor_generation +[Dataset] cur_step=4605 phase=B_anchor_generation +[Dataset] cur_step=4605 phase=B_anchor_generation[Dataset] cur_step=4605 phase=B_anchor_generation + +[Dataset] cur_step=4605 phase=B_anchor_generation + 51%|███████████████▎ | 4605/9000 [2:46:01<5:33:03, 4.55s/it][Dataset] cur_step=4605 phase=B_anchor_generation + {'loss': '2.788', 'grad_norm': '1.332', 'learning_rate': '2.61e-05', 'epoch': '0.1657'} + 51%|███████████████▎ | 4605/9000 [2:46:01<5:33:03, 4.55s/it] {'lm_loss': '0.0002173', 'visual_loss': '2.659', 'seg_loss': '0.7589', 'dino_loss': '0.9157', 'depth_loss': '0.1959', 'vggt_mse_loss': '0.1947', 'vggt_cos_loss': '0.01168', 'pidinet_loss': '0.2319', 'siglip_loss': '0.5569', 'epoch': '0.1657'} + 51%|███████████████▎ | 4605/9000 [2:46:04<5:33:03, 4.55s/it][Dataset] cur_step=4606 phase=B_anchor_generation[Dataset] cur_step=4606 phase=B_anchor_generation + +[Dataset] cur_step=4606 phase=B_anchor_generation +[Dataset] cur_step=4606 phase=B_anchor_generation +[Dataset] cur_step=4606 phase=B_anchor_generation +[Dataset] cur_step=4606 phase=B_anchor_generation +[Dataset] cur_step=4606 phase=B_anchor_generation +[Dataset] cur_step=4606 phase=B_anchor_generation + 51%|███████████████▎ | 4606/9000 [2:46:06<5:28:01, 4.48s/it] {'loss': '2.675', 'grad_norm': '1.748', 'learning_rate': '2.609e-05', 'epoch': '0.1657'} + 51%|███████████████▎ | 4606/9000 [2:46:06<5:28:01, 4.48s/it] {'lm_loss': '0.0002894', 'visual_loss': '2.441', 'seg_loss': '0.7232', 'dino_loss': '0.9046', 'depth_loss': '0.2735', 'vggt_mse_loss': '0.2717', 'vggt_cos_loss': '0.01825', 'pidinet_loss': '0.2258', 'siglip_loss': '0.3138', 'epoch': '0.1657'} + 51%|███████████████▎ | 4606/9000 [2:46:09<5:28:01, 4.48s/it][Dataset] cur_step=4607 phase=B_anchor_generation +[Dataset] cur_step=4607 phase=B_anchor_generation +[Dataset] cur_step=4607 phase=B_anchor_generation +[Dataset] cur_step=4607 phase=B_anchor_generation + 51%|███████████████▎ | 4607/9000 [2:46:10<5:18:41, 4.35s/it][Dataset] cur_step=4607 phase=B_anchor_generation +[Dataset] cur_step=4607 phase=B_anchor_generation +[Dataset] cur_step=4607 phase=B_anchor_generation +[Dataset] cur_step=4607 phase=B_anchor_generation + {'loss': '2.783', 'grad_norm': '1.662', 'learning_rate': '2.608e-05', 'epoch': '0.1657'} + 51%|███████████████▎ | 4607/9000 [2:46:10<5:18:41, 4.35s/it] {'lm_loss': '0.000214', 'visual_loss': '2.609', 'seg_loss': '0.7052', 'dino_loss': '0.8988', 'depth_loss': '0.2831', 'vggt_mse_loss': '0.2814', 'vggt_cos_loss': '0.01681', 'pidinet_loss': '0.2035', 'siglip_loss': '0.5187', 'epoch': '0.1657'} + 51%|███████████████▎ | 4607/9000 [2:46:13<5:18:41, 4.35s/it][Dataset] cur_step=4608 phase=B_anchor_generation +[Dataset] cur_step=4608 phase=B_anchor_generation +[Dataset] cur_step=4608 phase=B_anchor_generation[Dataset] cur_step=4608 phase=B_anchor_generation + +[Dataset] cur_step=4608 phase=B_anchor_generation +[Dataset] cur_step=4608 phase=B_anchor_generation + 51%|███████████████▎ | 4608/9000 [2:46:14<5:06:49, 4.19s/it][Dataset] cur_step=4608 phase=B_anchor_generation +[Dataset] cur_step=4608 phase=B_anchor_generation + {'loss': '2.729', 'grad_norm': '3.295', 'learning_rate': '2.607e-05', 'epoch': '0.1658'} + 51%|███████████████▎ | 4608/9000 [2:46:14<5:06:49, 4.19s/it] {'lm_loss': '0.0001776', 'visual_loss': '2.658', 'seg_loss': '0.7416', 'dino_loss': '0.8961', 'depth_loss': '0.2922', 'vggt_mse_loss': '0.2906', 'vggt_cos_loss': '0.01652', 'pidinet_loss': '0.1556', 'siglip_loss': '0.5724', 'epoch': '0.1658'} + 51%|███████████████▎ | 4608/9000 [2:46:18<5:06:49, 4.19s/it][Dataset] cur_step=4609 phase=B_anchor_generation +[Dataset] cur_step=4609 phase=B_anchor_generation +[Dataset] cur_step=4609 phase=B_anchor_generation +[Dataset] cur_step=4609 phase=B_anchor_generation +[Dataset] cur_step=4609 phase=B_anchor_generation +[Dataset] cur_step=4609 phase=B_anchor_generation + 51%|███████████████▎ | 4609/9000 [2:46:18<5:14:20, 4.30s/it][Dataset] cur_step=4609 phase=B_anchor_generation +[Dataset] cur_step=4609 phase=B_anchor_generation + {'loss': '2.786', 'grad_norm': '1.477', 'learning_rate': '2.607e-05', 'epoch': '0.1658'} + 51%|███████████████▎ | 4609/9000 [2:46:18<5:14:20, 4.30s/it] {'lm_loss': '0.0001371', 'visual_loss': '2.758', 'seg_loss': '0.7697', 'dino_loss': '0.8909', 'depth_loss': '0.3447', 'vggt_mse_loss': '0.3426', 'vggt_cos_loss': '0.02113', 'pidinet_loss': '0.161', 'siglip_loss': '0.5913', 'epoch': '0.1658'} + 51%|███████████████▎ | 4609/9000 [2:46:21<5:14:20, 4.30s/it][Dataset] cur_step=4610 phase=B_anchor_generation +[Dataset] cur_step=4610 phase=B_anchor_generation +[Dataset] cur_step=4610 phase=B_anchor_generation +[Dataset] cur_step=4610 phase=B_anchor_generation +[Dataset] cur_step=4610 phase=B_anchor_generation +[Dataset] cur_step=4610 phase=B_anchor_generation +[Dataset] cur_step=4610 phase=B_anchor_generation + 51%|███████████████▎ | 4610/9000 [2:46:22<5:04:42, 4.16s/it][Dataset] cur_step=4610 phase=B_anchor_generation + {'loss': '2.785', 'grad_norm': '1.208', 'learning_rate': '2.606e-05', 'epoch': '0.1658'} + 51%|███████████████▎ | 4610/9000 [2:46:22<5:04:42, 4.16s/it] {'lm_loss': '0.0001464', 'visual_loss': '2.758', 'seg_loss': '0.6999', 'dino_loss': '0.9329', 'depth_loss': '0.286', 'vggt_mse_loss': '0.2837', 'vggt_cos_loss': '0.02281', 'pidinet_loss': '0.2323', 'siglip_loss': '0.607', 'epoch': '0.1658'} + 51%|███████████████▎ | 4610/9000 [2:46:25<5:04:42, 4.16s/it][Dataset] cur_step=4611 phase=B_anchor_generation +[Dataset] cur_step=4611 phase=B_anchor_generation +[Dataset] cur_step=4611 phase=B_anchor_generation +[Dataset] cur_step=4611 phase=B_anchor_generation +[Dataset] cur_step=4611 phase=B_anchor_generation +[Dataset] cur_step=4611 phase=B_anchor_generation +[Dataset] cur_step=4611 phase=B_anchor_generation +[Dataset] cur_step=4611 phase=B_anchor_generation + 51%|███████████████▎ | 4611/9000 [2:46:26<4:58:41, 4.08s/it] {'loss': '2.724', 'grad_norm': '1.469', 'learning_rate': '2.605e-05', 'epoch': '0.1659'} + 51%|███████████████▎ | 4611/9000 [2:46:26<4:58:41, 4.08s/it] {'lm_loss': '9.925e-05', 'visual_loss': '2.614', 'seg_loss': '0.7774', 'dino_loss': '0.9278', 'depth_loss': '0.205', 'vggt_mse_loss': '0.2036', 'vggt_cos_loss': '0.01442', 'pidinet_loss': '0.2284', 'siglip_loss': '0.4754', 'epoch': '0.1659'} + 51%|███████████████▎ | 4611/9000 [2:46:29<4:58:41, 4.08s/it][Dataset] cur_step=4612 phase=B_anchor_generation +[Dataset] cur_step=4612 phase=B_anchor_generation +[Dataset] cur_step=4612 phase=B_anchor_generation +[Dataset] cur_step=4612 phase=B_anchor_generation +[Dataset] cur_step=4612 phase=B_anchor_generation +[Dataset] cur_step=4612 phase=B_anchor_generation +[Dataset] cur_step=4612 phase=B_anchor_generation +[Dataset] cur_step=4612 phase=B_anchor_generation + 51%|███████████████▎ | 4612/9000 [2:46:30<4:50:05, 3.97s/it] {'loss': '2.725', 'grad_norm': '9.196', 'learning_rate': '2.604e-05', 'epoch': '0.1659'} + 51%|███████████████▎ | 4612/9000 [2:46:30<4:50:05, 3.97s/it] {'lm_loss': '0.000316', 'visual_loss': '2.714', 'seg_loss': '0.8049', 'dino_loss': '0.9166', 'depth_loss': '0.3022', 'vggt_mse_loss': '0.2999', 'vggt_cos_loss': '0.02364', 'pidinet_loss': '0.2323', 'siglip_loss': '0.4578', 'epoch': '0.1659'} + 51%|███████████████▎ | 4612/9000 [2:46:33<4:50:05, 3.97s/it][Dataset] cur_step=4613 phase=B_anchor_generation +[Dataset] cur_step=4613 phase=B_anchor_generation[Dataset] cur_step=4613 phase=B_anchor_generation + +[Dataset] cur_step=4613 phase=B_anchor_generation +[Dataset] cur_step=4613 phase=B_anchor_generation +[Dataset] cur_step=4613 phase=B_anchor_generation + 51%|███████████████▍ | 4613/9000 [2:46:34<4:58:21, 4.08s/it][Dataset] cur_step=4613 phase=B_anchor_generation +[Dataset] cur_step=4613 phase=B_anchor_generation + {'loss': '2.739', 'grad_norm': '1.444', 'learning_rate': '2.603e-05', 'epoch': '0.166'} + 51%|███████████████▍ | 4613/9000 [2:46:34<4:58:21, 4.08s/it] {'lm_loss': '0.0002996', 'visual_loss': '2.623', 'seg_loss': '0.7156', 'dino_loss': '0.8869', 'depth_loss': '0.2021', 'vggt_mse_loss': '0.2009', 'vggt_cos_loss': '0.01179', 'pidinet_loss': '0.1816', 'siglip_loss': '0.637', 'epoch': '0.166'} + 51%|███████████████▍ | 4613/9000 [2:46:37<4:58:21, 4.08s/it][Dataset] cur_step=4614 phase=B_anchor_generation +[Dataset] cur_step=4614 phase=B_anchor_generation +[Dataset] cur_step=4614 phase=B_anchor_generation +[Dataset] cur_step=4614 phase=B_anchor_generation +[Dataset] cur_step=4614 phase=B_anchor_generation +[Dataset] cur_step=4614 phase=B_anchor_generation + 51%|███████████████▍ | 4614/9000 [2:46:38<4:54:32, 4.03s/it][Dataset] cur_step=4614 phase=B_anchor_generation +[Dataset] cur_step=4614 phase=B_anchor_generation + {'loss': '2.709', 'grad_norm': '2.346', 'learning_rate': '2.602e-05', 'epoch': '0.166'} + 51%|███████████████▍ | 4614/9000 [2:46:38<4:54:32, 4.03s/it] {'lm_loss': '0.0003583', 'visual_loss': '2.486', 'seg_loss': '0.6495', 'dino_loss': '0.8942', 'depth_loss': '0.2641', 'vggt_mse_loss': '0.2628', 'vggt_cos_loss': '0.01366', 'pidinet_loss': '0.1742', 'siglip_loss': '0.5038', 'epoch': '0.166'} + 51%|███████████████▍ | 4614/9000 [2:46:41<4:54:32, 4.03s/it][Dataset] cur_step=4615 phase=B_anchor_generation +[Dataset] cur_step=4615 phase=B_anchor_generation +[Dataset] cur_step=4615 phase=B_anchor_generation + 51%|███████████████▍ | 4615/9000 [2:46:42<4:51:28, 3.99s/it][Dataset] cur_step=4615 phase=B_anchor_generation +[Dataset] cur_step=4615 phase=B_anchor_generation +[Dataset] cur_step=4615 phase=B_anchor_generation +[Dataset] cur_step=4615 phase=B_anchor_generation +[Dataset] cur_step=4615 phase=B_anchor_generation + {'loss': '2.69', 'grad_norm': '1.729', 'learning_rate': '2.601e-05', 'epoch': '0.166'} + 51%|███████████████▍ | 4615/9000 [2:46:42<4:51:28, 3.99s/it] {'lm_loss': '0.0001729', 'visual_loss': '2.769', 'seg_loss': '0.7226', 'dino_loss': '0.8891', 'depth_loss': '0.248', 'vggt_mse_loss': '0.2461', 'vggt_cos_loss': '0.0191', 'pidinet_loss': '0.3186', 'siglip_loss': '0.591', 'epoch': '0.166'} + 51%|███████████████▍ | 4615/9000 [2:46:45<4:51:28, 3.99s/it][Dataset] cur_step=4616 phase=B_anchor_generation +[Dataset] cur_step=4616 phase=B_anchor_generation[Dataset] cur_step=4616 phase=B_anchor_generation + +[Dataset] cur_step=4616 phase=B_anchor_generation +[Dataset] cur_step=4616 phase=B_anchor_generation +[Dataset] cur_step=4616 phase=B_anchor_generation +[Dataset] cur_step=4616 phase=B_anchor_generation + 51%|███████████████▍ | 4616/9000 [2:46:46<4:55:15, 4.04s/it][Dataset] cur_step=4616 phase=B_anchor_generation + {'loss': '2.702', 'grad_norm': '1.621', 'learning_rate': '2.6e-05', 'epoch': '0.1661'} + 51%|███████████████▍ | 4616/9000 [2:46:46<4:55:15, 4.04s/it] {'lm_loss': '9.046e-05', 'visual_loss': '2.803', 'seg_loss': '0.6877', 'dino_loss': '0.9132', 'depth_loss': '0.2475', 'vggt_mse_loss': '0.246', 'vggt_cos_loss': '0.01455', 'pidinet_loss': '0.2695', 'siglip_loss': '0.6848', 'epoch': '0.1661'} + 51%|███████████████▍ | 4616/9000 [2:46:49<4:55:15, 4.04s/it][Dataset] cur_step=4617 phase=B_anchor_generation +[Dataset] cur_step=4617 phase=B_anchor_generation +[Dataset] cur_step=4617 phase=B_anchor_generation +[Dataset] cur_step=4617 phase=B_anchor_generation +[Dataset] cur_step=4617 phase=B_anchor_generation +[Dataset] cur_step=4617 phase=B_anchor_generation[Dataset] cur_step=4617 phase=B_anchor_generation + + 51%|███████████████▍ | 4617/9000 [2:46:50<4:52:14, 4.00s/it][Dataset] cur_step=4617 phase=B_anchor_generation + {'loss': '2.691', 'grad_norm': '1.404', 'learning_rate': '2.599e-05', 'epoch': '0.1661'} + 51%|███████████████▍ | 4617/9000 [2:46:50<4:52:14, 4.00s/it] {'lm_loss': '0.000253', 'visual_loss': '3.077', 'seg_loss': '0.8385', 'dino_loss': '0.9327', 'depth_loss': '0.3443', 'vggt_mse_loss': '0.3419', 'vggt_cos_loss': '0.02405', 'pidinet_loss': '0.2432', 'siglip_loss': '0.718', 'epoch': '0.1661'} + 51%|███████████████▍ | 4617/9000 [2:46:53<4:52:14, 4.00s/it][Dataset] cur_step=4618 phase=B_anchor_generation +[Dataset] cur_step=4618 phase=B_anchor_generation +[Dataset] cur_step=4618 phase=B_anchor_generation +[Dataset] cur_step=4618 phase=B_anchor_generation +[Dataset] cur_step=4618 phase=B_anchor_generation +[Dataset] cur_step=4618 phase=B_anchor_generation + 51%|███████████████▍ | 4618/9000 [2:46:54<4:49:39, 3.97s/it][Dataset] cur_step=4618 phase=B_anchor_generation +[Dataset] cur_step=4618 phase=B_anchor_generation + {'loss': '2.767', 'grad_norm': '1.288', 'learning_rate': '2.598e-05', 'epoch': '0.1661'} + 51%|███████████████▍ | 4618/9000 [2:46:54<4:49:39, 3.97s/it] {'lm_loss': '9.05e-05', 'visual_loss': '2.536', 'seg_loss': '0.7292', 'dino_loss': '0.9089', 'depth_loss': '0.2207', 'vggt_mse_loss': '0.2194', 'vggt_cos_loss': '0.01263', 'pidinet_loss': '0.2155', 'siglip_loss': '0.4617', 'epoch': '0.1661'} + 51%|███████████████▍ | 4618/9000 [2:46:57<4:49:39, 3.97s/it][Dataset] cur_step=4619 phase=B_anchor_generation +[Dataset] cur_step=4619 phase=B_anchor_generation[Dataset] cur_step=4619 phase=B_anchor_generation[Dataset] cur_step=4619 phase=B_anchor_generation + + +[Dataset] cur_step=4619 phase=B_anchor_generation[Dataset] cur_step=4619 phase=B_anchor_generation + + 51%|███████████████▍ | 4619/9000 [2:46:58<4:49:21, 3.96s/it][Dataset] cur_step=4619 phase=B_anchor_generation +[Dataset] cur_step=4619 phase=B_anchor_generation + {'loss': '2.703', 'grad_norm': '1.985', 'learning_rate': '2.597e-05', 'epoch': '0.1662'} + 51%|███████████████▍ | 4619/9000 [2:46:58<4:49:21, 3.96s/it] {'lm_loss': '0.0002095', 'visual_loss': '2.853', 'seg_loss': '0.7503', 'dino_loss': '0.914', 'depth_loss': '0.2235', 'vggt_mse_loss': '0.222', 'vggt_cos_loss': '0.01452', 'pidinet_loss': '0.2711', 'siglip_loss': '0.694', 'epoch': '0.1662'} + 51%|███████████████▍ | 4619/9000 [2:47:01<4:49:21, 3.96s/it][Dataset] cur_step=4620 phase=B_anchor_generation +[Dataset] cur_step=4620 phase=B_anchor_generation +[Dataset] cur_step=4620 phase=B_anchor_generation[Dataset] cur_step=4620 phase=B_anchor_generation + +[Dataset] cur_step=4620 phase=B_anchor_generation + 51%|███████████████▍ | 4620/9000 [2:47:01<4:44:13, 3.89s/it][Dataset] cur_step=4620 phase=B_anchor_generation +[Dataset] cur_step=4620 phase=B_anchor_generation +[Dataset] cur_step=4620 phase=B_anchor_generation + {'loss': '2.716', 'grad_norm': '1.439', 'learning_rate': '2.596e-05', 'epoch': '0.1662'} + 51%|███████████████▍ | 4620/9000 [2:47:01<4:44:13, 3.89s/it] {'lm_loss': '6.945e-05', 'visual_loss': '2.799', 'seg_loss': '0.8227', 'dino_loss': '0.9352', 'depth_loss': '0.313', 'vggt_mse_loss': '0.3112', 'vggt_cos_loss': '0.01834', 'pidinet_loss': '0.2181', 'siglip_loss': '0.5096', 'epoch': '0.1662'} + 51%|███████████████▍ | 4620/9000 [2:47:04<4:44:13, 3.89s/it][Dataset] cur_step=4621 phase=B_anchor_generation +[Dataset] cur_step=4621 phase=B_anchor_generation +[Dataset] cur_step=4621 phase=B_anchor_generation +[Dataset] cur_step=4621 phase=B_anchor_generation +[Dataset] cur_step=4621 phase=B_anchor_generation +[Dataset] cur_step=4621 phase=B_anchor_generation +[Dataset] cur_step=4621 phase=B_anchor_generation + 51%|███████████████▍ | 4621/9000 [2:47:05<4:42:22, 3.87s/it][Dataset] cur_step=4621 phase=B_anchor_generation + {'loss': '2.648', 'grad_norm': '1.352', 'learning_rate': '2.596e-05', 'epoch': '0.1662'} + 51%|███████████████▍ | 4621/9000 [2:47:05<4:42:22, 3.87s/it] {'lm_loss': '0.0001275', 'visual_loss': '2.549', 'seg_loss': '0.7036', 'dino_loss': '0.8981', 'depth_loss': '0.2692', 'vggt_mse_loss': '0.2677', 'vggt_cos_loss': '0.01459', 'pidinet_loss': '0.1874', 'siglip_loss': '0.4904', 'epoch': '0.1662'} + 51%|███████████████▍ | 4621/9000 [2:47:09<4:42:22, 3.87s/it][Dataset] cur_step=4622 phase=B_anchor_generation +[Dataset] cur_step=4622 phase=B_anchor_generation +[Dataset] cur_step=4622 phase=B_anchor_generation +[Dataset] cur_step=4622 phase=B_anchor_generation[Dataset] cur_step=4622 phase=B_anchor_generation 51%|███████████████▍ | 4622/9000 [2:47:09<4:47:11, 3.94s/it] + +[Dataset] cur_step=4622 phase=B_anchor_generation +[Dataset] cur_step=4622 phase=B_anchor_generation +[Dataset] cur_step=4622 phase=B_anchor_generation + {'loss': '2.657', 'grad_norm': '2.559', 'learning_rate': '2.595e-05', 'epoch': '0.1663'} + 51%|███████████████▍ | 4622/9000 [2:47:09<4:47:11, 3.94s/it] {'lm_loss': '0.0001767', 'visual_loss': '2.487', 'seg_loss': '0.7584', 'dino_loss': '0.9077', 'depth_loss': '0.2575', 'vggt_mse_loss': '0.256', 'vggt_cos_loss': '0.01569', 'pidinet_loss': '0.1777', 'siglip_loss': '0.3853', 'epoch': '0.1663'} + 51%|███████████████▍ | 4622/9000 [2:47:12<4:47:11, 3.94s/it][Dataset] cur_step=4623 phase=B_anchor_generation +[Dataset] cur_step=4623 phase=B_anchor_generation +[Dataset] cur_step=4623 phase=B_anchor_generation[Dataset] cur_step=4623 phase=B_anchor_generation + +[Dataset] cur_step=4623 phase=B_anchor_generation + 51%|███████████████▍ | 4623/9000 [2:47:13<4:41:59, 3.87s/it][Dataset] cur_step=4623 phase=B_anchor_generation +[Dataset] cur_step=4623 phase=B_anchor_generation +[Dataset] cur_step=4623 phase=B_anchor_generation + {'loss': '2.709', 'grad_norm': '1.252', 'learning_rate': '2.594e-05', 'epoch': '0.1663'} + 51%|███████████████▍ | 4623/9000 [2:47:13<4:41:59, 3.87s/it] {'lm_loss': '0.0002455', 'visual_loss': '2.783', 'seg_loss': '0.7668', 'dino_loss': '0.9425', 'depth_loss': '0.248', 'vggt_mse_loss': '0.2462', 'vggt_cos_loss': '0.01725', 'pidinet_loss': '0.2311', 'siglip_loss': '0.5947', 'epoch': '0.1663'} + 51%|███████████████▍ | 4623/9000 [2:47:16<4:41:59, 3.87s/it][Dataset] cur_step=4624 phase=B_anchor_generation +[Dataset] cur_step=4624 phase=B_anchor_generation +[Dataset] cur_step=4624 phase=B_anchor_generation +[Dataset] cur_step=4624 phase=B_anchor_generation +[Dataset] cur_step=4624 phase=B_anchor_generation +[Dataset] cur_step=4624 phase=B_anchor_generation + 51%|███████████████▍ | 4624/9000 [2:47:17<4:44:53, 3.91s/it][Dataset] cur_step=4624 phase=B_anchor_generation +[Dataset] cur_step=4624 phase=B_anchor_generation + {'loss': '2.708', 'grad_norm': '1.214', 'learning_rate': '2.593e-05', 'epoch': '0.1663'} + 51%|███████████████▍ | 4624/9000 [2:47:17<4:44:53, 3.91s/it] {'lm_loss': '0.000261', 'visual_loss': '2.539', 'seg_loss': '0.7306', 'dino_loss': '0.867', 'depth_loss': '0.2889', 'vggt_mse_loss': '0.2874', 'vggt_cos_loss': '0.01475', 'pidinet_loss': '0.2468', 'siglip_loss': '0.4056', 'epoch': '0.1663'} + 51%|███████████████▍ | 4624/9000 [2:47:20<4:44:53, 3.91s/it][Dataset] cur_step=4625 phase=B_anchor_generation +[Dataset] cur_step=4625 phase=B_anchor_generation +[Dataset] cur_step=4625 phase=B_anchor_generation[Dataset] cur_step=4625 phase=B_anchor_generation + +[Dataset] cur_step=4625 phase=B_anchor_generation[Dataset] cur_step=4625 phase=B_anchor_generation + + 51%|███████████████▍ | 4625/9000 [2:47:23<5:35:47, 4.61s/it][Dataset] cur_step=4625 phase=B_anchor_generation +[Dataset] cur_step=4625 phase=B_anchor_generation + {'loss': '2.689', 'grad_norm': '1.406', 'learning_rate': '2.592e-05', 'epoch': '0.1664'} + 51%|███████████████▍ | 4625/9000 [2:47:23<5:35:47, 4.61s/it] {'lm_loss': '9.642e-05', 'visual_loss': '2.825', 'seg_loss': '0.7775', 'dino_loss': '0.9102', 'depth_loss': '0.2258', 'vggt_mse_loss': '0.224', 'vggt_cos_loss': '0.01717', 'pidinet_loss': '0.2034', 'siglip_loss': '0.7081', 'epoch': '0.1664'} + 51%|███████████████▍ | 4625/9000 [2:47:26<5:35:47, 4.61s/it][Dataset] cur_step=4626 phase=B_anchor_generation +[Dataset] cur_step=4626 phase=B_anchor_generation[Dataset] cur_step=4626 phase=B_anchor_generation + +[Dataset] cur_step=4626 phase=B_anchor_generation +[Dataset] cur_step=4626 phase=B_anchor_generation +[Dataset] cur_step=4626 phase=B_anchor_generation + 51%|███████████████▍ | 4626/9000 [2:47:27<5:16:19, 4.34s/it][Dataset] cur_step=4626 phase=B_anchor_generation +[Dataset] cur_step=4626 phase=B_anchor_generation + {'loss': '2.696', 'grad_norm': '2.706', 'learning_rate': '2.591e-05', 'epoch': '0.1664'} + 51%|███████████████▍ | 4626/9000 [2:47:27<5:16:19, 4.34s/it] {'lm_loss': '0.0001889', 'visual_loss': '2.505', 'seg_loss': '0.7415', 'dino_loss': '0.8784', 'depth_loss': '0.2297', 'vggt_mse_loss': '0.2285', 'vggt_cos_loss': '0.01239', 'pidinet_loss': '0.2295', 'siglip_loss': '0.4261', 'epoch': '0.1664'} + 51%|███████████████▍ | 4626/9000 [2:47:30<5:16:19, 4.34s/it][Dataset] cur_step=4627 phase=B_anchor_generation +[Dataset] cur_step=4627 phase=B_anchor_generation +[Dataset] cur_step=4627 phase=B_anchor_generation +[Dataset] cur_step=4627 phase=B_anchor_generation +[Dataset] cur_step=4627 phase=B_anchor_generation +[Dataset] cur_step=4627 phase=B_anchor_generation + 51%|███████████████▍ | 4627/9000 [2:47:31<5:10:42, 4.26s/it][Dataset] cur_step=4627 phase=B_anchor_generation +[Dataset] cur_step=4627 phase=B_anchor_generation + {'loss': '2.736', 'grad_norm': '3.373', 'learning_rate': '2.59e-05', 'epoch': '0.1665'} + 51%|███████████████▍ | 4627/9000 [2:47:31<5:10:42, 4.26s/it] {'lm_loss': '0.0002009', 'visual_loss': '2.565', 'seg_loss': '0.6795', 'dino_loss': '0.8951', 'depth_loss': '0.246', 'vggt_mse_loss': '0.2448', 'vggt_cos_loss': '0.01146', 'pidinet_loss': '0.1407', 'siglip_loss': '0.604', 'epoch': '0.1665'} + 51%|███████████████▍ | 4627/9000 [2:47:34<5:10:42, 4.26s/it][Dataset] cur_step=4628 phase=B_anchor_generation +[Dataset] cur_step=4628 phase=B_anchor_generation +[Dataset] cur_step=4628 phase=B_anchor_generation[Dataset] cur_step=4628 phase=B_anchor_generation + +[Dataset] cur_step=4628 phase=B_anchor_generation + 51%|███████████████▍ | 4628/9000 [2:47:35<5:00:41, 4.13s/it][Dataset] cur_step=4628 phase=B_anchor_generation +[Dataset] cur_step=4628 phase=B_anchor_generation +[Dataset] cur_step=4628 phase=B_anchor_generation + {'loss': '2.715', 'grad_norm': '1.453', 'learning_rate': '2.589e-05', 'epoch': '0.1665'} + 51%|███████████████▍ | 4628/9000 [2:47:35<5:00:41, 4.13s/it] {'lm_loss': '0.0005192', 'visual_loss': '2.9', 'seg_loss': '0.7728', 'dino_loss': '0.9032', 'depth_loss': '0.2517', 'vggt_mse_loss': '0.2498', 'vggt_cos_loss': '0.01837', 'pidinet_loss': '0.2731', 'siglip_loss': '0.6996', 'epoch': '0.1665'} + 51%|███████████████▍ | 4628/9000 [2:47:40<5:00:41, 4.13s/it][Dataset] cur_step=4629 phase=B_anchor_generation[Dataset] cur_step=4629 phase=B_anchor_generation + +[Dataset] cur_step=4629 phase=B_anchor_generation +[Dataset] cur_step=4629 phase=B_anchor_generation +[Dataset] cur_step=4629 phase=B_anchor_generation +[Dataset] cur_step=4629 phase=B_anchor_generation +[Dataset] cur_step=4629 phase=B_anchor_generation[Dataset] cur_step=4629 phase=B_anchor_generation + + 51%|███████████████▍ | 4629/9000 [2:47:41<5:40:30, 4.67s/it] {'loss': '2.889', 'grad_norm': '1.264', 'learning_rate': '2.588e-05', 'epoch': '0.1665'} + 51%|███████████████▍ | 4629/9000 [2:47:41<5:40:30, 4.67s/it] {'lm_loss': '0.0002124', 'visual_loss': '2.511', 'seg_loss': '0.6729', 'dino_loss': '0.8973', 'depth_loss': '0.3049', 'vggt_mse_loss': '0.3031', 'vggt_cos_loss': '0.0178', 'pidinet_loss': '0.2444', 'siglip_loss': '0.3919', 'epoch': '0.1665'} + 51%|███████████████▍ | 4629/9000 [2:47:44<5:40:30, 4.67s/it][Dataset] cur_step=4630 phase=B_anchor_generation +[Dataset] cur_step=4630 phase=B_anchor_generation + 51%|███████████████▍ | 4630/9000 [2:47:45<5:22:49, 4.43s/it][Dataset] cur_step=4630 phase=B_anchor_generation +[Dataset] cur_step=4630 phase=B_anchor_generation +[Dataset] cur_step=4630 phase=B_anchor_generation +[Dataset] cur_step=4630 phase=B_anchor_generation[Dataset] cur_step=4630 phase=B_anchor_generation + +[Dataset] cur_step=4630 phase=B_anchor_generation + {'loss': '2.662', 'grad_norm': '6.57', 'learning_rate': '2.587e-05', 'epoch': '0.1666'} + 51%|███████████████▍ | 4630/9000 [2:47:45<5:22:49, 4.43s/it] {'lm_loss': '0.0002619', 'visual_loss': '2.847', 'seg_loss': '0.7971', 'dino_loss': '0.9236', 'depth_loss': '0.274', 'vggt_mse_loss': '0.272', 'vggt_cos_loss': '0.0197', 'pidinet_loss': '0.2652', 'siglip_loss': '0.5873', 'epoch': '0.1666'} + 51%|███████████████▍ | 4630/9000 [2:47:48<5:22:49, 4.43s/it][Dataset] cur_step=4631 phase=B_anchor_generation +[Dataset] cur_step=4631 phase=B_anchor_generation +[Dataset] cur_step=4631 phase=B_anchor_generation +[Dataset] cur_step=4631 phase=B_anchor_generation +[Dataset] cur_step=4631 phase=B_anchor_generation + 51%|███████████████▍ | 4631/9000 [2:47:48<5:06:00, 4.20s/it][Dataset] cur_step=4631 phase=B_anchor_generation +[Dataset] cur_step=4631 phase=B_anchor_generation +[Dataset] cur_step=4631 phase=B_anchor_generation + {'loss': '2.793', 'grad_norm': '2.14', 'learning_rate': '2.586e-05', 'epoch': '0.1666'} + 51%|███████████████▍ | 4631/9000 [2:47:48<5:06:00, 4.20s/it] {'lm_loss': '0.0001859', 'visual_loss': '2.786', 'seg_loss': '0.7597', 'dino_loss': '0.8845', 'depth_loss': '0.3136', 'vggt_mse_loss': '0.3114', 'vggt_cos_loss': '0.02183', 'pidinet_loss': '0.3058', 'siglip_loss': '0.5228', 'epoch': '0.1666'} + 51%|███████████████▍ | 4631/9000 [2:47:51<5:06:00, 4.20s/it][Dataset] cur_step=4632 phase=B_anchor_generation +[Dataset] cur_step=4632 phase=B_anchor_generation +[Dataset] cur_step=4632 phase=B_anchor_generation +[Dataset] cur_step=4632 phase=B_anchor_generation +[Dataset] cur_step=4632 phase=B_anchor_generation +[Dataset] cur_step=4632 phase=B_anchor_generation +[Dataset] cur_step=4632 phase=B_anchor_generation 51%|███████████████▍ | 4632/9000 [2:47:52<4:58:49, 4.10s/it] +[Dataset] cur_step=4632 phase=B_anchor_generation + {'loss': '2.8', 'grad_norm': '2.597', 'learning_rate': '2.585e-05', 'epoch': '0.1666'} + 51%|███████████████▍ | 4632/9000 [2:47:52<4:58:49, 4.10s/it] {'lm_loss': '0.0001845', 'visual_loss': '2.729', 'seg_loss': '0.7027', 'dino_loss': '0.9184', 'depth_loss': '0.22', 'vggt_mse_loss': '0.2184', 'vggt_cos_loss': '0.01619', 'pidinet_loss': '0.201', 'siglip_loss': '0.6865', 'epoch': '0.1666'} + 51%|███████████████▍ | 4632/9000 [2:47:55<4:58:49, 4.10s/it][Dataset] cur_step=4633 phase=B_anchor_generation[Dataset] cur_step=4633 phase=B_anchor_generation + +[Dataset] cur_step=4633 phase=B_anchor_generation[Dataset] cur_step=4633 phase=B_anchor_generation +[Dataset] cur_step=4633 phase=B_anchor_generation + + 51%|███████████████▍ | 4633/9000 [2:47:56<5:00:41, 4.13s/it][Dataset] cur_step=4633 phase=B_anchor_generation +[Dataset] cur_step=4633 phase=B_anchor_generation +[Dataset] cur_step=4633 phase=B_anchor_generation + {'loss': '2.75', 'grad_norm': '4.264', 'learning_rate': '2.584e-05', 'epoch': '0.1667'} + 51%|███████████████▍ | 4633/9000 [2:47:56<5:00:41, 4.13s/it] {'lm_loss': '0.0001338', 'visual_loss': '2.873', 'seg_loss': '0.6755', 'dino_loss': '0.9123', 'depth_loss': '0.3563', 'vggt_mse_loss': '0.3538', 'vggt_cos_loss': '0.02469', 'pidinet_loss': '0.2189', 'siglip_loss': '0.7102', 'epoch': '0.1667'} + 51%|███████████████▍ | 4633/9000 [2:48:00<5:00:41, 4.13s/it][Dataset] cur_step=4634 phase=B_anchor_generation +[Dataset] cur_step=4634 phase=B_anchor_generation +[Dataset] cur_step=4634 phase=B_anchor_generation +[Dataset] cur_step=4634 phase=B_anchor_generation 51%|███████████████▍ | 4634/9000 [2:48:00<4:56:37, 4.08s/it] +[Dataset] cur_step=4634 phase=B_anchor_generation +[Dataset] cur_step=4634 phase=B_anchor_generation +[Dataset] cur_step=4634 phase=B_anchor_generation +[Dataset] cur_step=4634 phase=B_anchor_generation + {'loss': '2.712', 'grad_norm': '1.615', 'learning_rate': '2.584e-05', 'epoch': '0.1667'} + 51%|███████████████▍ | 4634/9000 [2:48:00<4:56:37, 4.08s/it] {'lm_loss': '0.0005134', 'visual_loss': '2.646', 'seg_loss': '0.8016', 'dino_loss': '0.907', 'depth_loss': '0.2411', 'vggt_mse_loss': '0.2394', 'vggt_cos_loss': '0.01756', 'pidinet_loss': '0.2062', 'siglip_loss': '0.4901', 'epoch': '0.1667'} + 51%|███████████████▍ | 4634/9000 [2:48:04<4:56:37, 4.08s/it][Dataset] cur_step=4635 phase=B_anchor_generation +[Dataset] cur_step=4635 phase=B_anchor_generation[Dataset] cur_step=4635 phase=B_anchor_generation + +[Dataset] cur_step=4635 phase=B_anchor_generation[Dataset] cur_step=4635 phase=B_anchor_generation + + 52%|███████████████▍ | 4635/9000 [2:48:06<5:36:49, 4.63s/it][Dataset] cur_step=4635 phase=B_anchor_generation +[Dataset] cur_step=4635 phase=B_anchor_generation +[Dataset] cur_step=4635 phase=B_anchor_generation + {'loss': '2.7', 'grad_norm': '1.908', 'learning_rate': '2.583e-05', 'epoch': '0.1667'} + 52%|███████████████▍ | 4635/9000 [2:48:06<5:36:49, 4.63s/it] {'lm_loss': '0.0001222', 'visual_loss': '2.905', 'seg_loss': '0.7769', 'dino_loss': '0.8987', 'depth_loss': '0.2275', 'vggt_mse_loss': '0.226', 'vggt_cos_loss': '0.01488', 'pidinet_loss': '0.2426', 'siglip_loss': '0.7597', 'epoch': '0.1667'} + 52%|███████████████▍ | 4635/9000 [2:48:09<5:36:49, 4.63s/it][Dataset] cur_step=4636 phase=B_anchor_generation +[Dataset] cur_step=4636 phase=B_anchor_generation +[Dataset] cur_step=4636 phase=B_anchor_generation +[Dataset] cur_step=4636 phase=B_anchor_generation[Dataset] cur_step=4636 phase=B_anchor_generation + +[Dataset] cur_step=4636 phase=B_anchor_generation + 52%|███████████████▍ | 4636/9000 [2:48:11<5:32:35, 4.57s/it][Dataset] cur_step=4636 phase=B_anchor_generation +[Dataset] cur_step=4636 phase=B_anchor_generation + {'loss': '2.787', 'grad_norm': '1.8', 'learning_rate': '2.582e-05', 'epoch': '0.1668'} + 52%|███████████████▍ | 4636/9000 [2:48:11<5:32:35, 4.57s/it] {'lm_loss': '0.0001062', 'visual_loss': '2.627', 'seg_loss': '0.7657', 'dino_loss': '0.9263', 'depth_loss': '0.229', 'vggt_mse_loss': '0.2272', 'vggt_cos_loss': '0.01798', 'pidinet_loss': '0.2593', 'siglip_loss': '0.4465', 'epoch': '0.1668'} + 52%|███████████████▍ | 4636/9000 [2:48:13<5:32:35, 4.57s/it][Dataset] cur_step=4637 phase=B_anchor_generation +[Dataset] cur_step=4637 phase=B_anchor_generation +[Dataset] cur_step=4637 phase=B_anchor_generation +[Dataset] cur_step=4637 phase=B_anchor_generation +[Dataset] cur_step=4637 phase=B_anchor_generation[Dataset] cur_step=4637 phase=B_anchor_generation + + 52%|███████████████▍ | 4637/9000 [2:48:17<6:10:48, 5.10s/it][Dataset] cur_step=4637 phase=B_anchor_generation +[Dataset] cur_step=4637 phase=B_anchor_generation + {'loss': '2.707', 'grad_norm': '9.139', 'learning_rate': '2.581e-05', 'epoch': '0.1668'} + 52%|███████████████▍ | 4637/9000 [2:48:17<6:10:48, 5.10s/it] {'lm_loss': '0.0001664', 'visual_loss': '2.705', 'seg_loss': '0.7863', 'dino_loss': '0.9286', 'depth_loss': '0.2304', 'vggt_mse_loss': '0.2288', 'vggt_cos_loss': '0.01635', 'pidinet_loss': '0.2283', 'siglip_loss': '0.531', 'epoch': '0.1668'} + 52%|███████████████▍ | 4637/9000 [2:48:20<6:10:48, 5.10s/it][Dataset] cur_step=4638 phase=B_anchor_generation +[Dataset] cur_step=4638 phase=B_anchor_generation +[Dataset] cur_step=4638 phase=B_anchor_generation +[Dataset] cur_step=4638 phase=B_anchor_generation +[Dataset] cur_step=4638 phase=B_anchor_generation +[Dataset] cur_step=4638 phase=B_anchor_generation +[Dataset] cur_step=4638 phase=B_anchor_generation + 52%|███████████████▍ | 4638/9000 [2:48:21<5:38:45, 4.66s/it][Dataset] cur_step=4638 phase=B_anchor_generation + {'loss': '2.772', 'grad_norm': '1.637', 'learning_rate': '2.58e-05', 'epoch': '0.1669'} + 52%|███████████████▍ | 4638/9000 [2:48:21<5:38:45, 4.66s/it] {'lm_loss': '0.0003027', 'visual_loss': '2.839', 'seg_loss': '0.67', 'dino_loss': '0.9366', 'depth_loss': '0.3447', 'vggt_mse_loss': '0.3427', 'vggt_cos_loss': '0.02011', 'pidinet_loss': '0.2833', 'siglip_loss': '0.6042', 'epoch': '0.1669'} + 52%|███████████████▍ | 4638/9000 [2:48:24<5:38:45, 4.66s/it][Dataset] cur_step=4639 phase=B_anchor_generation +[Dataset] cur_step=4639 phase=B_anchor_generation +[Dataset] cur_step=4639 phase=B_anchor_generation[Dataset] cur_step=4639 phase=B_anchor_generation[Dataset] cur_step=4639 phase=B_anchor_generation + + + 52%|███████████████▍ | 4639/9000 [2:48:25<5:32:31, 4.57s/it][Dataset] cur_step=4639 phase=B_anchor_generation +[Dataset] cur_step=4639 phase=B_anchor_generation +[Dataset] cur_step=4639 phase=B_anchor_generation + {'loss': '2.765', 'grad_norm': '1.248', 'learning_rate': '2.579e-05', 'epoch': '0.1669'} + 52%|███████████████▍ | 4639/9000 [2:48:25<5:32:31, 4.57s/it] {'lm_loss': '0.000148', 'visual_loss': '2.741', 'seg_loss': '0.5981', 'dino_loss': '0.8755', 'depth_loss': '0.4197', 'vggt_mse_loss': '0.417', 'vggt_cos_loss': '0.02707', 'pidinet_loss': '0.2565', 'siglip_loss': '0.5907', 'epoch': '0.1669'} + 52%|███████████████▍ | 4639/9000 [2:48:29<5:32:31, 4.57s/it][Dataset] cur_step=4640 phase=B_anchor_generation +[Dataset] cur_step=4640 phase=B_anchor_generation + 52%|███████████████▍ | 4640/9000 [2:48:29<5:22:32, 4.44s/it][Dataset] cur_step=4640 phase=B_anchor_generation +[Dataset] cur_step=4640 phase=B_anchor_generation +[Dataset] cur_step=4640 phase=B_anchor_generation +[Dataset] cur_step=4640 phase=B_anchor_generation +[Dataset] cur_step=4640 phase=B_anchor_generation +[Dataset] cur_step=4640 phase=B_anchor_generation + {'loss': '2.792', 'grad_norm': '2.848', 'learning_rate': '2.578e-05', 'epoch': '0.1669'} + 52%|███████████████▍ | 4640/9000 [2:48:29<5:22:32, 4.44s/it] {'lm_loss': '9.981e-05', 'visual_loss': '2.576', 'seg_loss': '0.7036', 'dino_loss': '0.8982', 'depth_loss': '0.2057', 'vggt_mse_loss': '0.2044', 'vggt_cos_loss': '0.01309', 'pidinet_loss': '0.1997', 'siglip_loss': '0.5688', 'epoch': '0.1669'} + 52%|███████████████▍ | 4640/9000 [2:48:33<5:22:32, 4.44s/it][Dataset] cur_step=4641 phase=B_anchor_generation +[Dataset] cur_step=4641 phase=B_anchor_generation + 52%|███████████████▍ | 4641/9000 [2:48:33<5:13:20, 4.31s/it][Dataset] cur_step=4641 phase=B_anchor_generation +[Dataset] cur_step=4641 phase=B_anchor_generation +[Dataset] cur_step=4641 phase=B_anchor_generation +[Dataset] cur_step=4641 phase=B_anchor_generation +[Dataset] cur_step=4641 phase=B_anchor_generation +[Dataset] cur_step=4641 phase=B_anchor_generation + {'loss': '2.674', 'grad_norm': '4.237', 'learning_rate': '2.577e-05', 'epoch': '0.167'} + 52%|███████████████▍ | 4641/9000 [2:48:33<5:13:20, 4.31s/it] {'lm_loss': '0.0001923', 'visual_loss': '2.566', 'seg_loss': '0.6819', 'dino_loss': '0.9133', 'depth_loss': '0.2444', 'vggt_mse_loss': '0.2427', 'vggt_cos_loss': '0.01689', 'pidinet_loss': '0.2294', 'siglip_loss': '0.4969', 'epoch': '0.167'} + 52%|███████████████▍ | 4641/9000 [2:48:37<5:13:20, 4.31s/it][Dataset] cur_step=4642 phase=B_anchor_generation +[Dataset] cur_step=4642 phase=B_anchor_generation +[Dataset] cur_step=4642 phase=B_anchor_generation +[Dataset] cur_step=4642 phase=B_anchor_generation +[Dataset] cur_step=4642 phase=B_anchor_generation +[Dataset] cur_step=4642 phase=B_anchor_generation + 52%|███████████████▍ | 4642/9000 [2:48:39<5:45:43, 4.76s/it][Dataset] cur_step=4642 phase=B_anchor_generation +[Dataset] cur_step=4642 phase=B_anchor_generation + {'loss': '2.72', 'grad_norm': '1.544', 'learning_rate': '2.576e-05', 'epoch': '0.167'} + 52%|███████████████▍ | 4642/9000 [2:48:39<5:45:43, 4.76s/it] {'lm_loss': '0.000491', 'visual_loss': '2.832', 'seg_loss': '0.82', 'dino_loss': '0.9516', 'depth_loss': '0.212', 'vggt_mse_loss': '0.2105', 'vggt_cos_loss': '0.01443', 'pidinet_loss': '0.2489', 'siglip_loss': '0.5995', 'epoch': '0.167'} + 52%|███████████████▍ | 4642/9000 [2:48:42<5:45:43, 4.76s/it][Dataset] cur_step=4643 phase=B_anchor_generation[Dataset] cur_step=4643 phase=B_anchor_generation + +[Dataset] cur_step=4643 phase=B_anchor_generation +[Dataset] cur_step=4643 phase=B_anchor_generation +[Dataset] cur_step=4643 phase=B_anchor_generation +[Dataset] cur_step=4643 phase=B_anchor_generation + 52%|███████████████▍ | 4643/9000 [2:48:43<5:25:02, 4.48s/it][Dataset] cur_step=4643 phase=B_anchor_generation +[Dataset] cur_step=4643 phase=B_anchor_generation + {'loss': '2.883', 'grad_norm': '1.612', 'learning_rate': '2.575e-05', 'epoch': '0.167'} + 52%|███████████████▍ | 4643/9000 [2:48:43<5:25:02, 4.48s/it] {'lm_loss': '0.000147', 'visual_loss': '2.728', 'seg_loss': '0.7195', 'dino_loss': '0.9137', 'depth_loss': '0.262', 'vggt_mse_loss': '0.2605', 'vggt_cos_loss': '0.01496', 'pidinet_loss': '0.2365', 'siglip_loss': '0.5966', 'epoch': '0.167'} + 52%|███████████████▍ | 4643/9000 [2:48:46<5:25:02, 4.48s/it][Dataset] cur_step=4644 phase=B_anchor_generation +[Dataset] cur_step=4644 phase=B_anchor_generation +[Dataset] cur_step=4644 phase=B_anchor_generation +[Dataset] cur_step=4644 phase=B_anchor_generation +[Dataset] cur_step=4644 phase=B_anchor_generation +[Dataset] cur_step=4644 phase=B_anchor_generation +[Dataset] cur_step=4644 phase=B_anchor_generation + 52%|███████████████▍ | 4644/9000 [2:48:47<5:10:20, 4.27s/it][Dataset] cur_step=4644 phase=B_anchor_generation + {'loss': '2.715', 'grad_norm': '1.207', 'learning_rate': '2.574e-05', 'epoch': '0.1671'} + 52%|███████████████▍ | 4644/9000 [2:48:47<5:10:20, 4.27s/it] {'lm_loss': '0.000183', 'visual_loss': '2.762', 'seg_loss': '0.6787', 'dino_loss': '0.9211', 'depth_loss': '0.2308', 'vggt_mse_loss': '0.2294', 'vggt_cos_loss': '0.01446', 'pidinet_loss': '0.2789', 'siglip_loss': '0.6522', 'epoch': '0.1671'} + 52%|███████████████▍ | 4644/9000 [2:48:50<5:10:20, 4.27s/it][Dataset] cur_step=4645 phase=B_anchor_generation +[Dataset] cur_step=4645 phase=B_anchor_generation +[Dataset] cur_step=4645 phase=B_anchor_generation +[Dataset] cur_step=4645 phase=B_anchor_generation +[Dataset] cur_step=4645 phase=B_anchor_generation + 52%|███████████████▍ | 4645/9000 [2:48:53<6:02:07, 4.99s/it][Dataset] cur_step=4645 phase=B_anchor_generation +[Dataset] cur_step=4645 phase=B_anchor_generation +[Dataset] cur_step=4645 phase=B_anchor_generation + {'loss': '2.757', 'grad_norm': '2.34', 'learning_rate': '2.573e-05', 'epoch': '0.1671'} + 52%|███████████████▍ | 4645/9000 [2:48:53<6:02:07, 4.99s/it] {'lm_loss': '0.0001413', 'visual_loss': '2.868', 'seg_loss': '0.7037', 'dino_loss': '0.9056', 'depth_loss': '0.2997', 'vggt_mse_loss': '0.2973', 'vggt_cos_loss': '0.02407', 'pidinet_loss': '0.226', 'siglip_loss': '0.7328', 'epoch': '0.1671'} + 52%|███████████████▍ | 4645/9000 [2:48:56<6:02:07, 4.99s/it][Dataset] cur_step=4646 phase=B_anchor_generation +[Dataset] cur_step=4646 phase=B_anchor_generation[Dataset] cur_step=4646 phase=B_anchor_generation + +[Dataset] cur_step=4646 phase=B_anchor_generation +[Dataset] cur_step=4646 phase=B_anchor_generation[Dataset] cur_step=4646 phase=B_anchor_generation + + 52%|███████████████▍ | 4646/9000 [2:49:00<6:31:57, 5.40s/it][Dataset] cur_step=4646 phase=B_anchor_generation +[Dataset] cur_step=4646 phase=B_anchor_generation + {'loss': '2.723', 'grad_norm': '1.733', 'learning_rate': '2.573e-05', 'epoch': '0.1671'} + 52%|███████████████▍ | 4646/9000 [2:49:00<6:31:57, 5.40s/it] {'lm_loss': '0.0001005', 'visual_loss': '2.451', 'seg_loss': '0.6722', 'dino_loss': '0.8911', 'depth_loss': '0.2656', 'vggt_mse_loss': '0.2639', 'vggt_cos_loss': '0.01658', 'pidinet_loss': '0.2149', 'siglip_loss': '0.4072', 'epoch': '0.1671'} + 52%|███████████████▍ | 4646/9000 [2:49:03<6:31:57, 5.40s/it][Dataset] cur_step=4647 phase=B_anchor_generation +[Dataset] cur_step=4647 phase=B_anchor_generation +[Dataset] cur_step=4647 phase=B_anchor_generation +[Dataset] cur_step=4647 phase=B_anchor_generation +[Dataset] cur_step=4647 phase=B_anchor_generation + 52%|███████████████▍ | 4647/9000 [2:49:06<6:44:58, 5.58s/it][Dataset] cur_step=4647 phase=B_anchor_generation +[Dataset] cur_step=4647 phase=B_anchor_generation +[Dataset] cur_step=4647 phase=B_anchor_generation + {'loss': '2.808', 'grad_norm': '2.398', 'learning_rate': '2.572e-05', 'epoch': '0.1672'} + 52%|███████████████▍ | 4647/9000 [2:49:06<6:44:58, 5.58s/it] {'lm_loss': '0.0001333', 'visual_loss': '2.38', 'seg_loss': '0.6672', 'dino_loss': '0.9087', 'depth_loss': '0.266', 'vggt_mse_loss': '0.2645', 'vggt_cos_loss': '0.01534', 'pidinet_loss': '0.2104', 'siglip_loss': '0.3274', 'epoch': '0.1672'} + 52%|███████████████▍ | 4647/9000 [2:49:09<6:44:58, 5.58s/it][Dataset] cur_step=4648 phase=B_anchor_generation +[Dataset] cur_step=4648 phase=B_anchor_generation +[Dataset] cur_step=4648 phase=B_anchor_generation[Dataset] cur_step=4648 phase=B_anchor_generation +[Dataset] cur_step=4648 phase=B_anchor_generation + + 52%|███████████████▍ | 4648/9000 [2:49:09<6:07:16, 5.06s/it][Dataset] cur_step=4648 phase=B_anchor_generation +[Dataset] cur_step=4648 phase=B_anchor_generation +[Dataset] cur_step=4648 phase=B_anchor_generation + {'loss': '2.713', 'grad_norm': '1.65', 'learning_rate': '2.571e-05', 'epoch': '0.1672'} + 52%|███████████████▍ | 4648/9000 [2:49:09<6:07:16, 5.06s/it] {'lm_loss': '0.0003353', 'visual_loss': '2.783', 'seg_loss': '0.8117', 'dino_loss': '0.8783', 'depth_loss': '0.1794', 'vggt_mse_loss': '0.178', 'vggt_cos_loss': '0.01346', 'pidinet_loss': '0.2844', 'siglip_loss': '0.6297', 'epoch': '0.1672'} + 52%|███████████████▍ | 4648/9000 [2:49:12<6:07:16, 5.06s/it][Dataset] cur_step=4649 phase=B_anchor_generation +[Dataset] cur_step=4649 phase=B_anchor_generation +[Dataset] cur_step=4649 phase=B_anchor_generation +[Dataset] cur_step=4649 phase=B_anchor_generation +[Dataset] cur_step=4649 phase=B_anchor_generation +[Dataset] cur_step=4649 phase=B_anchor_generation +[Dataset] cur_step=4649 phase=B_anchor_generation + 52%|███████████████▍ | 4649/9000 [2:49:14<5:47:08, 4.79s/it][Dataset] cur_step=4649 phase=B_anchor_generation + {'loss': '2.714', 'grad_norm': '1.25', 'learning_rate': '2.57e-05', 'epoch': '0.1672'} + 52%|███████████████▍ | 4649/9000 [2:49:14<5:47:08, 4.79s/it] {'lm_loss': '0.00031', 'visual_loss': '2.719', 'seg_loss': '0.7598', 'dino_loss': '0.9215', 'depth_loss': '0.1823', 'vggt_mse_loss': '0.1809', 'vggt_cos_loss': '0.01364', 'pidinet_loss': '0.271', 'siglip_loss': '0.5842', 'epoch': '0.1672'} + 52%|███████████████▍ | 4649/9000 [2:49:17<5:47:08, 4.79s/it][Dataset] cur_step=4650 phase=B_anchor_generation +[Dataset] cur_step=4650 phase=B_anchor_generation +[Dataset] cur_step=4650 phase=B_anchor_generation +[Dataset] cur_step=4650 phase=B_anchor_generation +[Dataset] cur_step=4650 phase=B_anchor_generation 52%|███████████████▌ | 4650/9000 [2:49:17<5:21:29, 4.43s/it] +[Dataset] cur_step=4650 phase=B_anchor_generation +[Dataset] cur_step=4650 phase=B_anchor_generation +[Dataset] cur_step=4650 phase=B_anchor_generation + {'loss': '2.658', 'grad_norm': '1.185', 'learning_rate': '2.569e-05', 'epoch': '0.1673'} + 52%|███████████████▌ | 4650/9000 [2:49:17<5:21:29, 4.43s/it] {'lm_loss': '0.0001329', 'visual_loss': '2.94', 'seg_loss': '0.7738', 'dino_loss': '0.8836', 'depth_loss': '0.2356', 'vggt_mse_loss': '0.2338', 'vggt_cos_loss': '0.01814', 'pidinet_loss': '0.2888', 'siglip_loss': '0.7582', 'epoch': '0.1673'} + 52%|███████████████▌ | 4650/9000 [2:49:20<5:21:29, 4.43s/it][Dataset] cur_step=4651 phase=B_anchor_generation +[Dataset] cur_step=4651 phase=B_anchor_generation +[Dataset] cur_step=4651 phase=B_anchor_generation[Dataset] cur_step=4651 phase=B_anchor_generation + +[Dataset] cur_step=4651 phase=B_anchor_generation +[Dataset] cur_step=4651 phase=B_anchor_generation +[Dataset] cur_step=4651 phase=B_anchor_generation + 52%|███████████████▌ | 4651/9000 [2:49:21<5:15:57, 4.36s/it][Dataset] cur_step=4651 phase=B_anchor_generation + {'loss': '2.711', 'grad_norm': '1.736', 'learning_rate': '2.568e-05', 'epoch': '0.1673'} + 52%|███████████████▌ | 4651/9000 [2:49:21<5:15:57, 4.36s/it] {'lm_loss': '7.071e-05', 'visual_loss': '2.878', 'seg_loss': '0.7231', 'dino_loss': '0.9019', 'depth_loss': '0.3152', 'vggt_mse_loss': '0.3132', 'vggt_cos_loss': '0.01988', 'pidinet_loss': '0.2717', 'siglip_loss': '0.6658', 'epoch': '0.1673'} + 52%|███████████████▌ | 4651/9000 [2:49:25<5:15:57, 4.36s/it][Dataset] cur_step=4652 phase=B_anchor_generation +[Dataset] cur_step=4652 phase=B_anchor_generation +[Dataset] cur_step=4652 phase=B_anchor_generation +[Dataset] cur_step=4652 phase=B_anchor_generation +[Dataset] cur_step=4652 phase=B_anchor_generation +[Dataset] cur_step=4652 phase=B_anchor_generation +[Dataset] cur_step=4652 phase=B_anchor_generation + 52%|███████████████▌ | 4652/9000 [2:49:25<5:07:42, 4.25s/it][Dataset] cur_step=4652 phase=B_anchor_generation + {'loss': '2.732', 'grad_norm': '1.662', 'learning_rate': '2.567e-05', 'epoch': '0.1674'} + 52%|███████████████▌ | 4652/9000 [2:49:25<5:07:42, 4.25s/it] {'lm_loss': '9.575e-05', 'visual_loss': '2.797', 'seg_loss': '0.7462', 'dino_loss': '0.9331', 'depth_loss': '0.3112', 'vggt_mse_loss': '0.3087', 'vggt_cos_loss': '0.0245', 'pidinet_loss': '0.215', 'siglip_loss': '0.5921', 'epoch': '0.1674'} + 52%|███████████████▌ | 4652/9000 [2:49:29<5:07:42, 4.25s/it][Dataset] cur_step=4653 phase=B_anchor_generation +[Dataset] cur_step=4653 phase=B_anchor_generation +[Dataset] cur_step=4653 phase=B_anchor_generation +[Dataset] cur_step=4653 phase=B_anchor_generation[Dataset] cur_step=4653 phase=B_anchor_generation +[Dataset] cur_step=4653 phase=B_anchor_generation + + 52%|███████████████▌ | 4653/9000 [2:49:32<6:00:31, 4.98s/it][Dataset] cur_step=4653 phase=B_anchor_generation +[Dataset] cur_step=4653 phase=B_anchor_generation + {'loss': '2.751', 'grad_norm': '1.93', 'learning_rate': '2.566e-05', 'epoch': '0.1674'} + 52%|███████████████▌ | 4653/9000 [2:49:32<6:00:31, 4.98s/it] {'lm_loss': '7.432e-05', 'visual_loss': '2.776', 'seg_loss': '0.7536', 'dino_loss': '0.9183', 'depth_loss': '0.3067', 'vggt_mse_loss': '0.3043', 'vggt_cos_loss': '0.02377', 'pidinet_loss': '0.228', 'siglip_loss': '0.5698', 'epoch': '0.1674'} + 52%|███████████████▌ | 4653/9000 [2:49:35<6:00:31, 4.98s/it][Dataset] cur_step=4654 phase=B_anchor_generation +[Dataset] cur_step=4654 phase=B_anchor_generation +[Dataset] cur_step=4654 phase=B_anchor_generation +[Dataset] cur_step=4654 phase=B_anchor_generation +[Dataset] cur_step=4654 phase=B_anchor_generation +[Dataset] cur_step=4654 phase=B_anchor_generation + 52%|███████████████▌ | 4654/9000 [2:49:40<7:15:27, 6.01s/it][Dataset] cur_step=4654 phase=B_anchor_generation +[Dataset] cur_step=4654 phase=B_anchor_generation + {'loss': '2.724', 'grad_norm': '18.74', 'learning_rate': '2.565e-05', 'epoch': '0.1674'} + 52%|███████████████▌ | 4654/9000 [2:49:40<7:15:27, 6.01s/it] {'lm_loss': '7.496e-05', 'visual_loss': '2.817', 'seg_loss': '0.8107', 'dino_loss': '0.9177', 'depth_loss': '0.3215', 'vggt_mse_loss': '0.3199', 'vggt_cos_loss': '0.01577', 'pidinet_loss': '0.2484', 'siglip_loss': '0.5184', 'epoch': '0.1674'} + 52%|███████████████▌ | 4654/9000 [2:49:44<7:15:27, 6.01s/it][Dataset] cur_step=4655 phase=B_anchor_generation[Dataset] cur_step=4655 phase=B_anchor_generation + +[Dataset] cur_step=4655 phase=B_anchor_generation +[Dataset] cur_step=4655 phase=B_anchor_generation + 52%|███████████████▌ | 4655/9000 [2:49:47<7:34:37, 6.28s/it][Dataset] cur_step=4655 phase=B_anchor_generation +[Dataset] cur_step=4655 phase=B_anchor_generation +[Dataset] cur_step=4655 phase=B_anchor_generation +[Dataset] cur_step=4655 phase=B_anchor_generation + {'loss': '2.735', 'grad_norm': '2.109', 'learning_rate': '2.564e-05', 'epoch': '0.1675'} + 52%|███████████████▌ | 4655/9000 [2:49:47<7:34:37, 6.28s/it] {'lm_loss': '6.636e-05', 'visual_loss': '2.956', 'seg_loss': '0.7579', 'dino_loss': '0.9152', 'depth_loss': '0.2587', 'vggt_mse_loss': '0.257', 'vggt_cos_loss': '0.01619', 'pidinet_loss': '0.2743', 'siglip_loss': '0.7502', 'epoch': '0.1675'} + 52%|███████████████▌ | 4655/9000 [2:49:51<7:34:37, 6.28s/it][Dataset] cur_step=4656 phase=B_anchor_generation +[Dataset] cur_step=4656 phase=B_anchor_generation[Dataset] cur_step=4656 phase=B_anchor_generation + +[Dataset] cur_step=4656 phase=B_anchor_generation 52%|███████████████▌ | 4656/9000 [2:49:55<8:07:34, 6.73s/it] +[Dataset] cur_step=4656 phase=B_anchor_generation[Dataset] cur_step=4656 phase=B_anchor_generation + +[Dataset] cur_step=4656 phase=B_anchor_generation +[Dataset] cur_step=4656 phase=B_anchor_generation + {'loss': '2.77', 'grad_norm': '4.047', 'learning_rate': '2.563e-05', 'epoch': '0.1675'} + 52%|███████████████▌ | 4656/9000 [2:49:55<8:07:34, 6.73s/it] {'lm_loss': '0.0001676', 'visual_loss': '2.765', 'seg_loss': '0.6975', 'dino_loss': '0.9085', 'depth_loss': '0.2675', 'vggt_mse_loss': '0.2655', 'vggt_cos_loss': '0.0202', 'pidinet_loss': '0.2641', 'siglip_loss': '0.6278', 'epoch': '0.1675'} + 52%|███████████████▌ | 4656/9000 [2:49:58<8:07:34, 6.73s/it][Dataset] cur_step=4657 phase=B_anchor_generation +[Dataset] cur_step=4657 phase=B_anchor_generation +[Dataset] cur_step=4657 phase=B_anchor_generation +[Dataset] cur_step=4657 phase=B_anchor_generation +[Dataset] cur_step=4657 phase=B_anchor_generation +[Dataset] cur_step=4657 phase=B_anchor_generation +[Dataset] cur_step=4657 phase=B_anchor_generation + 52%|███████████████▌ | 4657/9000 [2:50:02<8:06:36, 6.72s/it][Dataset] cur_step=4657 phase=B_anchor_generation + {'loss': '2.665', 'grad_norm': '1.553', 'learning_rate': '2.562e-05', 'epoch': '0.1675'} + 52%|███████████████▌ | 4657/9000 [2:50:02<8:06:36, 6.72s/it] {'lm_loss': '0.000137', 'visual_loss': '2.523', 'seg_loss': '0.5704', 'dino_loss': '0.8754', 'depth_loss': '0.2828', 'vggt_mse_loss': '0.2808', 'vggt_cos_loss': '0.02072', 'pidinet_loss': '0.2099', 'siglip_loss': '0.5843', 'epoch': '0.1675'} + 52%|███████████████▌ | 4657/9000 [2:50:05<8:06:36, 6.72s/it][Dataset] cur_step=4658 phase=B_anchor_generation +[Dataset] cur_step=4658 phase=B_anchor_generation +[Dataset] cur_step=4658 phase=B_anchor_generation +[Dataset] cur_step=4658 phase=B_anchor_generation +[Dataset] cur_step=4658 phase=B_anchor_generation +[Dataset] cur_step=4658 phase=B_anchor_generation +[Dataset] cur_step=4658 phase=B_anchor_generation[Dataset] cur_step=4658 phase=B_anchor_generation + + 52%|███████████████▌ | 4658/9000 [2:50:10<8:36:34, 7.14s/it] {'loss': '2.688', 'grad_norm': '2.252', 'learning_rate': '2.562e-05', 'epoch': '0.1676'} + 52%|███████████████▌ | 4658/9000 [2:50:10<8:36:34, 7.14s/it] {'lm_loss': '8.714e-05', 'visual_loss': '2.588', 'seg_loss': '0.6341', 'dino_loss': '0.8969', 'depth_loss': '0.2406', 'vggt_mse_loss': '0.2393', 'vggt_cos_loss': '0.01268', 'pidinet_loss': '0.191', 'siglip_loss': '0.6258', 'epoch': '0.1676'} + 52%|███████████████▌ | 4658/9000 [2:50:14<8:36:34, 7.14s/it][Dataset] cur_step=4659 phase=B_anchor_generation[Dataset] cur_step=4659 phase=B_anchor_generation + +[Dataset] cur_step=4659 phase=B_anchor_generation[Dataset] cur_step=4659 phase=B_anchor_generation[Dataset] cur_step=4659 phase=B_anchor_generation + + +[Dataset] cur_step=4659 phase=B_anchor_generation 52%|███████████████ | 4659/9000 [2:50:21<10:11:25, 8.45s/it] +[Dataset] cur_step=4659 phase=B_anchor_generation +[Dataset] cur_step=4659 phase=B_anchor_generation + {'loss': '2.683', 'grad_norm': '1.741', 'learning_rate': '2.561e-05', 'epoch': '0.1676'} + 52%|███████████████ | 4659/9000 [2:50:21<10:11:25, 8.45s/it] {'lm_loss': '0.0001567', 'visual_loss': '2.868', 'seg_loss': '0.7855', 'dino_loss': '0.93', 'depth_loss': '0.2649', 'vggt_mse_loss': '0.263', 'vggt_cos_loss': '0.0186', 'pidinet_loss': '0.2474', 'siglip_loss': '0.6405', 'epoch': '0.1676'} + 52%|███████████████ | 4659/9000 [2:50:25<10:11:25, 8.45s/it][Dataset] cur_step=4660 phase=B_anchor_generation +[Dataset] cur_step=4660 phase=B_anchor_generation +[Dataset] cur_step=4660 phase=B_anchor_generation +[Dataset] cur_step=4660 phase=B_anchor_generation[Dataset] cur_step=4660 phase=B_anchor_generation +[Dataset] cur_step=4660 phase=B_anchor_generation + + 52%|███████████████ | 4660/9000 [2:50:35<12:04:06, 10.01s/it][Dataset] cur_step=4660 phase=B_anchor_generation +[Dataset] cur_step=4660 phase=B_anchor_generation + {'loss': '2.701', 'grad_norm': '1.329', 'learning_rate': '2.56e-05', 'epoch': '0.1676'} + 52%|███████████████ | 4660/9000 [2:50:35<12:04:06, 10.01s/it] {'lm_loss': '0.0001566', 'visual_loss': '2.828', 'seg_loss': '0.7268', 'dino_loss': '0.9128', 'depth_loss': '0.2523', 'vggt_mse_loss': '0.2504', 'vggt_cos_loss': '0.01907', 'pidinet_loss': '0.2605', 'siglip_loss': '0.6757', 'epoch': '0.1676'} + 52%|███████████████ | 4660/9000 [2:50:39<12:04:06, 10.01s/it][Dataset] cur_step=4661 phase=B_anchor_generation +[Dataset] cur_step=4661 phase=B_anchor_generation +[Dataset] cur_step=4661 phase=B_anchor_generation +[Dataset] cur_step=4661 phase=B_anchor_generation +[Dataset] cur_step=4661 phase=B_anchor_generation[Dataset] cur_step=4661 phase=B_anchor_generation + + 52%|███████████████ | 4661/9000 [2:50:46<12:21:54, 10.26s/it][Dataset] cur_step=4661 phase=B_anchor_generation +[Dataset] cur_step=4661 phase=B_anchor_generation + {'loss': '2.751', 'grad_norm': '1.541', 'learning_rate': '2.559e-05', 'epoch': '0.1677'} + 52%|███████████████ | 4661/9000 [2:50:46<12:21:54, 10.26s/it] {'lm_loss': '0.0002358', 'visual_loss': '2.783', 'seg_loss': '0.6712', 'dino_loss': '0.9044', 'depth_loss': '0.2138', 'vggt_mse_loss': '0.2124', 'vggt_cos_loss': '0.01432', 'pidinet_loss': '0.2597', 'siglip_loss': '0.734', 'epoch': '0.1677'} + 52%|███████████████ | 4661/9000 [2:50:49<12:21:54, 10.26s/it][Dataset] cur_step=4662 phase=B_anchor_generation[Dataset] cur_step=4662 phase=B_anchor_generation +[Dataset] cur_step=4662 phase=B_anchor_generation + +[Dataset] cur_step=4662 phase=B_anchor_generation +[Dataset] cur_step=4662 phase=B_anchor_generation[Dataset] cur_step=4662 phase=B_anchor_generation + +[Dataset] cur_step=4662 phase=B_anchor_generation 52%|███████████████ | 4662/9000 [2:50:57<12:42:54, 10.55s/it] +[Dataset] cur_step=4662 phase=B_anchor_generation + {'loss': '2.785', 'grad_norm': '1.48', 'learning_rate': '2.558e-05', 'epoch': '0.1677'} + 52%|███████████████ | 4662/9000 [2:50:57<12:42:54, 10.55s/it] {'lm_loss': '0.0002721', 'visual_loss': '2.545', 'seg_loss': '0.7383', 'dino_loss': '0.8834', 'depth_loss': '0.1925', 'vggt_mse_loss': '0.1915', 'vggt_cos_loss': '0.01047', 'pidinet_loss': '0.2422', 'siglip_loss': '0.4882', 'epoch': '0.1677'} + 52%|███████████████ | 4662/9000 [2:51:00<12:42:54, 10.55s/it][Dataset] cur_step=4663 phase=B_anchor_generation +[Dataset] cur_step=4663 phase=B_anchor_generation +[Dataset] cur_step=4663 phase=B_anchor_generation[Dataset] cur_step=4663 phase=B_anchor_generation + + 52%|███████████████ | 4663/9000 [2:51:08<12:57:53, 10.76s/it][Dataset] cur_step=4663 phase=B_anchor_generation[Dataset] cur_step=4663 phase=B_anchor_generation + +[Dataset] cur_step=4663 phase=B_anchor_generation +[Dataset] cur_step=4663 phase=B_anchor_generation + {'loss': '2.678', 'grad_norm': '1.628', 'learning_rate': '2.557e-05', 'epoch': '0.1678'} + 52%|███████████████ | 4663/9000 [2:51:08<12:57:53, 10.76s/it] {'lm_loss': '0.0001844', 'visual_loss': '2.794', 'seg_loss': '0.628', 'dino_loss': '0.9246', 'depth_loss': '0.3514', 'vggt_mse_loss': '0.3491', 'vggt_cos_loss': '0.0234', 'pidinet_loss': '0.2145', 'siglip_loss': '0.6759', 'epoch': '0.1678'} + 52%|███████████████ | 4663/9000 [2:51:12<12:57:53, 10.76s/it][Dataset] cur_step=4664 phase=B_anchor_generation[Dataset] cur_step=4664 phase=B_anchor_generation + +[Dataset] cur_step=4664 phase=B_anchor_generation +[Dataset] cur_step=4664 phase=B_anchor_generation +[Dataset] cur_step=4664 phase=B_anchor_generation[Dataset] cur_step=4664 phase=B_anchor_generation 52%|███████████████ | 4664/9000 [2:51:19<12:50:46, 10.67s/it] + +[Dataset] cur_step=4664 phase=B_anchor_generation +[Dataset] cur_step=4664 phase=B_anchor_generation + {'loss': '2.725', 'grad_norm': '2.216', 'learning_rate': '2.556e-05', 'epoch': '0.1678'} + 52%|███████████████ | 4664/9000 [2:51:19<12:50:46, 10.67s/it] {'lm_loss': '8.082e-05', 'visual_loss': '2.977', 'seg_loss': '0.8964', 'dino_loss': '0.924', 'depth_loss': '0.2974', 'vggt_mse_loss': '0.2951', 'vggt_cos_loss': '0.02348', 'pidinet_loss': '0.2448', 'siglip_loss': '0.6139', 'epoch': '0.1678'} + 52%|███████████████ | 4664/9000 [2:51:22<12:50:46, 10.67s/it][Dataset] cur_step=4665 phase=B_anchor_generation[Dataset] cur_step=4665 phase=B_anchor_generation + +[Dataset] cur_step=4665 phase=B_anchor_generation +[Dataset] cur_step=4665 phase=B_anchor_generation +[Dataset] cur_step=4665 phase=B_anchor_generation +[Dataset] cur_step=4665 phase=B_anchor_generation + 52%|███████████████ | 4665/9000 [2:51:29<12:49:29, 10.65s/it][Dataset] cur_step=4665 phase=B_anchor_generation +[Dataset] cur_step=4665 phase=B_anchor_generation + {'loss': '2.701', 'grad_norm': '3.516', 'learning_rate': '2.555e-05', 'epoch': '0.1678'} + 52%|███████████████ | 4665/9000 [2:51:29<12:49:29, 10.65s/it] {'lm_loss': '0.0002485', 'visual_loss': '2.89', 'seg_loss': '0.6675', 'dino_loss': '0.9106', 'depth_loss': '0.2206', 'vggt_mse_loss': '0.2189', 'vggt_cos_loss': '0.017', 'pidinet_loss': '0.2901', 'siglip_loss': '0.8011', 'epoch': '0.1678'} + 52%|███████████████ | 4665/9000 [2:51:33<12:49:29, 10.65s/it][Dataset] cur_step=4666 phase=B_anchor_generation[Dataset] cur_step=4666 phase=B_anchor_generation + +[Dataset] cur_step=4666 phase=B_anchor_generation +[Dataset] cur_step=4666 phase=B_anchor_generation +[Dataset] cur_step=4666 phase=B_anchor_generation +[Dataset] cur_step=4666 phase=B_anchor_generation +[Dataset] cur_step=4666 phase=B_anchor_generation +[Dataset] cur_step=4666 phase=B_anchor_generation + 52%|███████████████ | 4666/9000 [2:51:38<12:00:53, 9.98s/it] {'loss': '2.703', 'grad_norm': '1.736', 'learning_rate': '2.554e-05', 'epoch': '0.1679'} + 52%|███████████████ | 4666/9000 [2:51:38<12:00:53, 9.98s/it] {'lm_loss': '9.61e-05', 'visual_loss': '2.68', 'seg_loss': '0.7128', 'dino_loss': '0.9262', 'depth_loss': '0.2691', 'vggt_mse_loss': '0.2673', 'vggt_cos_loss': '0.01796', 'pidinet_loss': '0.2116', 'siglip_loss': '0.5606', 'epoch': '0.1679'} + 52%|███████████████ | 4666/9000 [2:51:41<12:00:53, 9.98s/it][Dataset] cur_step=4667 phase=B_anchor_generation +[Dataset] cur_step=4667 phase=B_anchor_generation +[Dataset] cur_step=4667 phase=B_anchor_generation +[Dataset] cur_step=4667 phase=B_anchor_generation +[Dataset] cur_step=4667 phase=B_anchor_generation[Dataset] cur_step=4667 phase=B_anchor_generation + + 52%|███████████████▌ | 4667/9000 [2:51:42<9:49:51, 8.17s/it][Dataset] cur_step=4667 phase=B_anchor_generation +[Dataset] cur_step=4667 phase=B_anchor_generation + {'loss': '2.75', 'grad_norm': '1.413', 'learning_rate': '2.553e-05', 'epoch': '0.1679'} + 52%|███████████████▌ | 4667/9000 [2:51:42<9:49:51, 8.17s/it] {'lm_loss': '0.0001111', 'visual_loss': '2.475', 'seg_loss': '0.7198', 'dino_loss': '0.8907', 'depth_loss': '0.2298', 'vggt_mse_loss': '0.2285', 'vggt_cos_loss': '0.01325', 'pidinet_loss': '0.2176', 'siglip_loss': '0.4174', 'epoch': '0.1679'} + 52%|███████████████▌ | 4667/9000 [2:51:45<9:49:51, 8.17s/it][Dataset] cur_step=4668 phase=B_anchor_generation +[Dataset] cur_step=4668 phase=B_anchor_generation +[Dataset] cur_step=4668 phase=B_anchor_generation +[Dataset] cur_step=4668 phase=B_anchor_generation +[Dataset] cur_step=4668 phase=B_anchor_generation +[Dataset] cur_step=4668 phase=B_anchor_generation + 52%|███████████████▌ | 4668/9000 [2:51:46<8:21:01, 6.94s/it][Dataset] cur_step=4668 phase=B_anchor_generation[Dataset] cur_step=4668 phase=B_anchor_generation + + {'loss': '2.688', 'grad_norm': '1.263', 'learning_rate': '2.552e-05', 'epoch': '0.1679'} + 52%|███████████████▌ | 4668/9000 [2:51:46<8:21:01, 6.94s/it] {'lm_loss': '0.0002248', 'visual_loss': '2.946', 'seg_loss': '0.8107', 'dino_loss': '0.89', 'depth_loss': '0.2013', 'vggt_mse_loss': '0.1998', 'vggt_cos_loss': '0.01419', 'pidinet_loss': '0.2626', 'siglip_loss': '0.7817', 'epoch': '0.1679'} + 52%|███████████████▌ | 4668/9000 [2:51:49<8:21:01, 6.94s/it][Dataset] cur_step=4669 phase=B_anchor_generation +[Dataset] cur_step=4669 phase=B_anchor_generation +[Dataset] cur_step=4669 phase=B_anchor_generation +[Dataset] cur_step=4669 phase=B_anchor_generation +[Dataset] cur_step=4669 phase=B_anchor_generation +[Dataset] cur_step=4669 phase=B_anchor_generation +[Dataset] cur_step=4669 phase=B_anchor_generation + 52%|███████████████▌ | 4669/9000 [2:51:50<7:09:44, 5.95s/it][Dataset] cur_step=4669 phase=B_anchor_generation + {'loss': '2.899', 'grad_norm': '2.967', 'learning_rate': '2.551e-05', 'epoch': '0.168'} + 52%|███████████████▌ | 4669/9000 [2:51:50<7:09:44, 5.95s/it] {'lm_loss': '0.0002586', 'visual_loss': '3.103', 'seg_loss': '0.8398', 'dino_loss': '0.9186', 'depth_loss': '0.4599', 'vggt_mse_loss': '0.4568', 'vggt_cos_loss': '0.03101', 'pidinet_loss': '0.2111', 'siglip_loss': '0.6738', 'epoch': '0.168'} + 52%|███████████████▌ | 4669/9000 [2:51:53<7:09:44, 5.95s/it][Dataset] cur_step=4670 phase=B_anchor_generation +[Dataset] cur_step=4670 phase=B_anchor_generation +[Dataset] cur_step=4670 phase=B_anchor_generation +[Dataset] cur_step=4670 phase=B_anchor_generation +[Dataset] cur_step=4670 phase=B_anchor_generation[Dataset] cur_step=4670 phase=B_anchor_generation + + 52%|███████████████▌ | 4670/9000 [2:51:53<6:17:58, 5.24s/it][Dataset] cur_step=4670 phase=B_anchor_generation +[Dataset] cur_step=4670 phase=B_anchor_generation + {'loss': '2.828', 'grad_norm': '1.677', 'learning_rate': '2.551e-05', 'epoch': '0.168'} + 52%|███████████████▌ | 4670/9000 [2:51:53<6:17:58, 5.24s/it] {'lm_loss': '0.0002927', 'visual_loss': '2.804', 'seg_loss': '0.8021', 'dino_loss': '0.914', 'depth_loss': '0.2043', 'vggt_mse_loss': '0.2029', 'vggt_cos_loss': '0.01457', 'pidinet_loss': '0.2569', 'siglip_loss': '0.6262', 'epoch': '0.168'} + 52%|███████████████▌ | 4670/9000 [2:51:56<6:17:58, 5.24s/it][Dataset] cur_step=4671 phase=B_anchor_generation +[Dataset] cur_step=4671 phase=B_anchor_generation +[Dataset] cur_step=4671 phase=B_anchor_generation[Dataset] cur_step=4671 phase=B_anchor_generation + + 52%|███████████████▌ | 4671/9000 [2:51:57<5:55:52, 4.93s/it][Dataset] cur_step=4671 phase=B_anchor_generation +[Dataset] cur_step=4671 phase=B_anchor_generation +[Dataset] cur_step=4671 phase=B_anchor_generation +[Dataset] cur_step=4671 phase=B_anchor_generation + {'loss': '2.685', 'grad_norm': '1.714', 'learning_rate': '2.55e-05', 'epoch': '0.168'} + 52%|███████████████▌ | 4671/9000 [2:51:57<5:55:52, 4.93s/it] {'lm_loss': '0.0001426', 'visual_loss': '2.329', 'seg_loss': '0.7168', 'dino_loss': '0.8695', 'depth_loss': '0.2383', 'vggt_mse_loss': '0.2373', 'vggt_cos_loss': '0.009635', 'pidinet_loss': '0.1705', 'siglip_loss': '0.3338', 'epoch': '0.168'} + 52%|███████████████▌ | 4671/9000 [2:52:01<5:55:52, 4.93s/it][Dataset] cur_step=4672 phase=B_anchor_generation +[Dataset] cur_step=4672 phase=B_anchor_generation +[Dataset] cur_step=4672 phase=B_anchor_generation[Dataset] cur_step=4672 phase=B_anchor_generation +[Dataset] cur_step=4672 phase=B_anchor_generation[Dataset] cur_step=4672 phase=B_anchor_generation + + + 52%|███████████████▌ | 4672/9000 [2:52:01<5:35:50, 4.66s/it][Dataset] cur_step=4672 phase=B_anchor_generation +[Dataset] cur_step=4672 phase=B_anchor_generation + {'loss': '2.773', 'grad_norm': '2.859', 'learning_rate': '2.549e-05', 'epoch': '0.1681'} + 52%|███████████████▌ | 4672/9000 [2:52:01<5:35:50, 4.66s/it] {'lm_loss': '0.0002022', 'visual_loss': '2.828', 'seg_loss': '0.7687', 'dino_loss': '0.896', 'depth_loss': '0.2363', 'vggt_mse_loss': '0.2343', 'vggt_cos_loss': '0.01989', 'pidinet_loss': '0.2595', 'siglip_loss': '0.6673', 'epoch': '0.1681'} + 52%|███████████████▌ | 4672/9000 [2:52:04<5:35:50, 4.66s/it][Dataset] cur_step=4673 phase=B_anchor_generation[Dataset] cur_step=4673 phase=B_anchor_generation + +[Dataset] cur_step=4673 phase=B_anchor_generation +[Dataset] cur_step=4673 phase=B_anchor_generation +[Dataset] cur_step=4673 phase=B_anchor_generation +[Dataset] cur_step=4673 phase=B_anchor_generation +[Dataset] cur_step=4673 phase=B_anchor_generation + 52%|███████████████▌ | 4673/9000 [2:52:06<5:27:12, 4.54s/it][Dataset] cur_step=4673 phase=B_anchor_generation + {'loss': '2.801', 'grad_norm': '2.077', 'learning_rate': '2.548e-05', 'epoch': '0.1681'} + 52%|███████████████▌ | 4673/9000 [2:52:06<5:27:12, 4.54s/it] {'lm_loss': '0.0001229', 'visual_loss': '2.766', 'seg_loss': '0.6542', 'dino_loss': '0.896', 'depth_loss': '0.3296', 'vggt_mse_loss': '0.3278', 'vggt_cos_loss': '0.01784', 'pidinet_loss': '0.1912', 'siglip_loss': '0.6949', 'epoch': '0.1681'} + 52%|███████████████▌ | 4673/9000 [2:52:09<5:27:12, 4.54s/it][Dataset] cur_step=4674 phase=B_anchor_generation[Dataset] cur_step=4674 phase=B_anchor_generation +[Dataset] cur_step=4674 phase=B_anchor_generation +[Dataset] cur_step=4674 phase=B_anchor_generation + +[Dataset] cur_step=4674 phase=B_anchor_generation +[Dataset] cur_step=4674 phase=B_anchor_generation + 52%|███████████████▌ | 4674/9000 [2:52:10<5:18:14, 4.41s/it][Dataset] cur_step=4674 phase=B_anchor_generation +[Dataset] cur_step=4674 phase=B_anchor_generation + {'loss': '2.766', 'grad_norm': '2.399', 'learning_rate': '2.547e-05', 'epoch': '0.1681'} + 52%|███████████████▌ | 4674/9000 [2:52:10<5:18:14, 4.41s/it] {'lm_loss': '0.0001306', 'visual_loss': '2.512', 'seg_loss': '0.718', 'dino_loss': '0.9223', 'depth_loss': '0.2617', 'vggt_mse_loss': '0.26', 'vggt_cos_loss': '0.01718', 'pidinet_loss': '0.2159', 'siglip_loss': '0.3944', 'epoch': '0.1681'} + 52%|███████████████▌ | 4674/9000 [2:52:13<5:18:14, 4.41s/it][Dataset] cur_step=4675 phase=B_anchor_generation[Dataset] cur_step=4675 phase=B_anchor_generation + +[Dataset] cur_step=4675 phase=B_anchor_generation +[Dataset] cur_step=4675 phase=B_anchor_generation[Dataset] cur_step=4675 phase=B_anchor_generation + + 52%|███████████████▌ | 4675/9000 [2:52:14<5:09:14, 4.29s/it][Dataset] cur_step=4675 phase=B_anchor_generation +[Dataset] cur_step=4675 phase=B_anchor_generation +[Dataset] cur_step=4675 phase=B_anchor_generation + {'loss': '2.708', 'grad_norm': '1.976', 'learning_rate': '2.546e-05', 'epoch': '0.1682'} + 52%|███████████████▌ | 4675/9000 [2:52:14<5:09:14, 4.29s/it] {'lm_loss': '0.0002216', 'visual_loss': '2.838', 'seg_loss': '0.7888', 'dino_loss': '0.9067', 'depth_loss': '0.3741', 'vggt_mse_loss': '0.3706', 'vggt_cos_loss': '0.03532', 'pidinet_loss': '0.2313', 'siglip_loss': '0.5368', 'epoch': '0.1682'} + 52%|███████████████▌ | 4675/9000 [2:52:17<5:09:14, 4.29s/it][Dataset] cur_step=4676 phase=B_anchor_generation +[Dataset] cur_step=4676 phase=B_anchor_generation +[Dataset] cur_step=4676 phase=B_anchor_generation[Dataset] cur_step=4676 phase=B_anchor_generation + +[Dataset] cur_step=4676 phase=B_anchor_generation +[Dataset] cur_step=4676 phase=B_anchor_generation +[Dataset] cur_step=4676 phase=B_anchor_generation + 52%|███████████████▌ | 4676/9000 [2:52:18<5:02:11, 4.19s/it][Dataset] cur_step=4676 phase=B_anchor_generation + {'loss': '2.781', 'grad_norm': '1.518', 'learning_rate': '2.545e-05', 'epoch': '0.1682'} + 52%|███████████████▌ | 4676/9000 [2:52:18<5:02:11, 4.19s/it] {'lm_loss': '0.0002476', 'visual_loss': '2.506', 'seg_loss': '0.6247', 'dino_loss': '0.9015', 'depth_loss': '0.2351', 'vggt_mse_loss': '0.2334', 'vggt_cos_loss': '0.01699', 'pidinet_loss': '0.2389', 'siglip_loss': '0.5056', 'epoch': '0.1682'} + 52%|███████████████▌ | 4676/9000 [2:52:21<5:02:11, 4.19s/it][Dataset] cur_step=4677 phase=B_anchor_generation +[Dataset] cur_step=4677 phase=B_anchor_generation +[Dataset] cur_step=4677 phase=B_anchor_generation + 52%|███████████████▌ | 4677/9000 [2:52:22<4:58:48, 4.15s/it][Dataset] cur_step=4677 phase=B_anchor_generation +[Dataset] cur_step=4677 phase=B_anchor_generation +[Dataset] cur_step=4677 phase=B_anchor_generation +[Dataset] cur_step=4677 phase=B_anchor_generation +[Dataset] cur_step=4677 phase=B_anchor_generation + {'loss': '2.719', 'grad_norm': '9.212', 'learning_rate': '2.544e-05', 'epoch': '0.1683'} + 52%|███████████████▌ | 4677/9000 [2:52:22<4:58:48, 4.15s/it] {'lm_loss': '0.0001267', 'visual_loss': '2.782', 'seg_loss': '0.7686', 'dino_loss': '0.9196', 'depth_loss': '0.2792', 'vggt_mse_loss': '0.2772', 'vggt_cos_loss': '0.02009', 'pidinet_loss': '0.2567', 'siglip_loss': '0.5582', 'epoch': '0.1683'} + 52%|███████████████▌ | 4677/9000 [2:52:25<4:58:48, 4.15s/it][Dataset] cur_step=4678 phase=B_anchor_generation +[Dataset] cur_step=4678 phase=B_anchor_generation +[Dataset] cur_step=4678 phase=B_anchor_generation +[Dataset] cur_step=4678 phase=B_anchor_generation[Dataset] cur_step=4678 phase=B_anchor_generation +[Dataset] cur_step=4678 phase=B_anchor_generation +[Dataset] cur_step=4678 phase=B_anchor_generation + + 52%|███████████████▌ | 4678/9000 [2:52:26<4:50:51, 4.04s/it][Dataset] cur_step=4678 phase=B_anchor_generation + {'loss': '2.783', 'grad_norm': '1.513', 'learning_rate': '2.543e-05', 'epoch': '0.1683'} + 52%|███████████████▌ | 4678/9000 [2:52:26<4:50:51, 4.04s/it] {'lm_loss': '0.000107', 'visual_loss': '2.501', 'seg_loss': '0.6895', 'dino_loss': '0.9026', 'depth_loss': '0.3092', 'vggt_mse_loss': '0.3075', 'vggt_cos_loss': '0.0162', 'pidinet_loss': '0.2273', 'siglip_loss': '0.3727', 'epoch': '0.1683'} + 52%|███████████████▌ | 4678/9000 [2:52:29<4:50:51, 4.04s/it][Dataset] cur_step=4679 phase=B_anchor_generation[Dataset] cur_step=4679 phase=B_anchor_generation + +[Dataset] cur_step=4679 phase=B_anchor_generation[Dataset] cur_step=4679 phase=B_anchor_generation + +[Dataset] cur_step=4679 phase=B_anchor_generation + 52%|███████████████▌ | 4679/9000 [2:52:29<4:47:45, 4.00s/it][Dataset] cur_step=4679 phase=B_anchor_generation +[Dataset] cur_step=4679 phase=B_anchor_generation +[Dataset] cur_step=4679 phase=B_anchor_generation + {'loss': '2.631', 'grad_norm': '1.863', 'learning_rate': '2.542e-05', 'epoch': '0.1683'} + 52%|███████████████▌ | 4679/9000 [2:52:29<4:47:45, 4.00s/it] {'lm_loss': '0.000136', 'visual_loss': '2.649', 'seg_loss': '0.5895', 'dino_loss': '0.8896', 'depth_loss': '0.1924', 'vggt_mse_loss': '0.1912', 'vggt_cos_loss': '0.01183', 'pidinet_loss': '0.2533', 'siglip_loss': '0.7245', 'epoch': '0.1683'} + 52%|███████████████▌ | 4679/9000 [2:52:33<4:47:45, 4.00s/it][Dataset] cur_step=4680 phase=B_anchor_generation +[Dataset] cur_step=4680 phase=B_anchor_generation[Dataset] cur_step=4680 phase=B_anchor_generation + +[Dataset] cur_step=4680 phase=B_anchor_generation +[Dataset] cur_step=4680 phase=B_anchor_generation +[Dataset] cur_step=4680 phase=B_anchor_generation +[Dataset] cur_step=4680 phase=B_anchor_generation 52%|███████████████▌ | 4680/9000 [2:52:33<4:47:02, 3.99s/it] +[Dataset] cur_step=4680 phase=B_anchor_generation + {'loss': '2.675', 'grad_norm': '1.632', 'learning_rate': '2.541e-05', 'epoch': '0.1684'} + 52%|███████████████▌ | 4680/9000 [2:52:33<4:47:02, 3.99s/it] {'lm_loss': '0.0001952', 'visual_loss': '2.796', 'seg_loss': '0.6897', 'dino_loss': '0.8967', 'depth_loss': '0.2553', 'vggt_mse_loss': '0.2534', 'vggt_cos_loss': '0.01912', 'pidinet_loss': '0.2722', 'siglip_loss': '0.6823', 'epoch': '0.1684'} + 52%|███████████████▌ | 4680/9000 [2:52:37<4:47:02, 3.99s/it][Dataset] cur_step=4681 phase=B_anchor_generation +[Dataset] cur_step=4681 phase=B_anchor_generation[Dataset] cur_step=4681 phase=B_anchor_generation + +[Dataset] cur_step=4681 phase=B_anchor_generation +[Dataset] cur_step=4681 phase=B_anchor_generation +[Dataset] cur_step=4681 phase=B_anchor_generation +[Dataset] cur_step=4681 phase=B_anchor_generation + 52%|███████████████▌ | 4681/9000 [2:52:38<4:50:49, 4.04s/it][Dataset] cur_step=4681 phase=B_anchor_generation + {'loss': '2.75', 'grad_norm': '1.5', 'learning_rate': '2.54e-05', 'epoch': '0.1684'} + 52%|███████████████▌ | 4681/9000 [2:52:38<4:50:49, 4.04s/it] {'lm_loss': '0.0001202', 'visual_loss': '2.745', 'seg_loss': '0.8209', 'dino_loss': '0.931', 'depth_loss': '0.2729', 'vggt_mse_loss': '0.2713', 'vggt_cos_loss': '0.0163', 'pidinet_loss': '0.2619', 'siglip_loss': '0.4581', 'epoch': '0.1684'} + 52%|███████████████▌ | 4681/9000 [2:52:41<4:50:49, 4.04s/it][Dataset] cur_step=4682 phase=B_anchor_generation +[Dataset] cur_step=4682 phase=B_anchor_generation +[Dataset] cur_step=4682 phase=B_anchor_generation +[Dataset] cur_step=4682 phase=B_anchor_generation +[Dataset] cur_step=4682 phase=B_anchor_generation +[Dataset] cur_step=4682 phase=B_anchor_generation[Dataset] cur_step=4682 phase=B_anchor_generation + + 52%|███████████████▌ | 4682/9000 [2:52:42<4:51:40, 4.05s/it][Dataset] cur_step=4682 phase=B_anchor_generation + {'loss': '2.697', 'grad_norm': '2.552', 'learning_rate': '2.539e-05', 'epoch': '0.1684'} + 52%|███████████████▌ | 4682/9000 [2:52:42<4:51:40, 4.05s/it] {'lm_loss': '0.0003004', 'visual_loss': '2.949', 'seg_loss': '0.8903', 'dino_loss': '0.8929', 'depth_loss': '0.2283', 'vggt_mse_loss': '0.2264', 'vggt_cos_loss': '0.01891', 'pidinet_loss': '0.2992', 'siglip_loss': '0.6379', 'epoch': '0.1684'} + 52%|███████████████▌ | 4682/9000 [2:52:45<4:51:40, 4.05s/it][Dataset] cur_step=4683 phase=B_anchor_generation[Dataset] cur_step=4683 phase=B_anchor_generation +[Dataset] cur_step=4683 phase=B_anchor_generation + +[Dataset] cur_step=4683 phase=B_anchor_generation +[Dataset] cur_step=4683 phase=B_anchor_generation +[Dataset] cur_step=4683 phase=B_anchor_generation +[Dataset] cur_step=4683 phase=B_anchor_generation + 52%|███████████████▌ | 4683/9000 [2:52:46<4:49:01, 4.02s/it][Dataset] cur_step=4683 phase=B_anchor_generation + {'loss': '2.821', 'grad_norm': '2.977', 'learning_rate': '2.539e-05', 'epoch': '0.1685'} + 52%|███████████████▌ | 4683/9000 [2:52:46<4:49:01, 4.02s/it] {'lm_loss': '0.0001303', 'visual_loss': '2.617', 'seg_loss': '0.6329', 'dino_loss': '0.8978', 'depth_loss': '0.3215', 'vggt_mse_loss': '0.3193', 'vggt_cos_loss': '0.02181', 'pidinet_loss': '0.214', 'siglip_loss': '0.551', 'epoch': '0.1685'} + 52%|███████████████▌ | 4683/9000 [2:52:49<4:49:01, 4.02s/it][Dataset] cur_step=4684 phase=B_anchor_generation +[Dataset] cur_step=4684 phase=B_anchor_generation +[Dataset] cur_step=4684 phase=B_anchor_generation +[Dataset] cur_step=4684 phase=B_anchor_generation +[Dataset] cur_step=4684 phase=B_anchor_generation + 52%|███████████████▌ | 4684/9000 [2:52:50<4:54:58, 4.10s/it][Dataset] cur_step=4684 phase=B_anchor_generation +[Dataset] cur_step=4684 phase=B_anchor_generation +[Dataset] cur_step=4684 phase=B_anchor_generation + {'loss': '2.714', 'grad_norm': '1.444', 'learning_rate': '2.538e-05', 'epoch': '0.1685'} + 52%|███████████████▌ | 4684/9000 [2:52:50<4:54:58, 4.10s/it] {'lm_loss': '7.746e-05', 'visual_loss': '2.724', 'seg_loss': '0.8292', 'dino_loss': '0.906', 'depth_loss': '0.169', 'vggt_mse_loss': '0.1681', 'vggt_cos_loss': '0.009725', 'pidinet_loss': '0.2694', 'siglip_loss': '0.55', 'epoch': '0.1685'} + 52%|███████████████▌ | 4684/9000 [2:52:53<4:54:58, 4.10s/it][Dataset] cur_step=4685 phase=B_anchor_generation +[Dataset] cur_step=4685 phase=B_anchor_generation[Dataset] cur_step=4685 phase=B_anchor_generation + +[Dataset] cur_step=4685 phase=B_anchor_generation +[Dataset] cur_step=4685 phase=B_anchor_generation[Dataset] cur_step=4685 phase=B_anchor_generation + +[Dataset] cur_step=4685 phase=B_anchor_generation + 52%|███████████████▌ | 4685/9000 [2:52:54<4:53:20, 4.08s/it][Dataset] cur_step=4685 phase=B_anchor_generation + {'loss': '2.892', 'grad_norm': '1.842', 'learning_rate': '2.537e-05', 'epoch': '0.1685'} + 52%|███████████████▌ | 4685/9000 [2:52:54<4:53:20, 4.08s/it] {'lm_loss': '0.0002832', 'visual_loss': '3.089', 'seg_loss': '0.7223', 'dino_loss': '0.8794', 'depth_loss': '0.2679', 'vggt_mse_loss': '0.2666', 'vggt_cos_loss': '0.01276', 'pidinet_loss': '0.2083', 'siglip_loss': '1.011', 'epoch': '0.1685'} + 52%|███████████████▌ | 4685/9000 [2:53:00<4:53:20, 4.08s/it][Dataset] cur_step=4686 phase=B_anchor_generation +[Dataset] cur_step=4686 phase=B_anchor_generation 52%|███████████████▌ | 4686/9000 [2:53:01<5:51:25, 4.89s/it] +[Dataset] cur_step=4686 phase=B_anchor_generation[Dataset] cur_step=4686 phase=B_anchor_generation[Dataset] cur_step=4686 phase=B_anchor_generation + + +[Dataset] cur_step=4686 phase=B_anchor_generation +[Dataset] cur_step=4686 phase=B_anchor_generation +[Dataset] cur_step=4686 phase=B_anchor_generation + {'loss': '2.653', 'grad_norm': '1.211', 'learning_rate': '2.536e-05', 'epoch': '0.1686'} + 52%|███████████████▌ | 4686/9000 [2:53:01<5:51:25, 4.89s/it] {'lm_loss': '0.0003366', 'visual_loss': '2.62', 'seg_loss': '0.5695', 'dino_loss': '0.8864', 'depth_loss': '0.2328', 'vggt_mse_loss': '0.2315', 'vggt_cos_loss': '0.01378', 'pidinet_loss': '0.3099', 'siglip_loss': '0.6215', 'epoch': '0.1686'} + 52%|███████████████▌ | 4686/9000 [2:53:04<5:51:25, 4.89s/it][Dataset] cur_step=4687 phase=B_anchor_generation +[Dataset] cur_step=4687 phase=B_anchor_generation +[Dataset] cur_step=4687 phase=B_anchor_generation +[Dataset] cur_step=4687 phase=B_anchor_generation +[Dataset] cur_step=4687 phase=B_anchor_generation +[Dataset] cur_step=4687 phase=B_anchor_generation +[Dataset] cur_step=4687 phase=B_anchor_generation +[Dataset] cur_step=4687 phase=B_anchor_generation + 52%|███████████████▌ | 4687/9000 [2:53:04<5:24:31, 4.51s/it] {'loss': '2.757', 'grad_norm': '1.461', 'learning_rate': '2.535e-05', 'epoch': '0.1686'} + 52%|███████████████▌ | 4687/9000 [2:53:04<5:24:31, 4.51s/it] {'lm_loss': '9.246e-05', 'visual_loss': '2.573', 'seg_loss': '0.6673', 'dino_loss': '0.9087', 'depth_loss': '0.2804', 'vggt_mse_loss': '0.279', 'vggt_cos_loss': '0.01403', 'pidinet_loss': '0.2123', 'siglip_loss': '0.5048', 'epoch': '0.1686'} + 52%|███████████████▌ | 4687/9000 [2:53:08<5:24:31, 4.51s/it][Dataset] cur_step=4688 phase=B_anchor_generation +[Dataset] cur_step=4688 phase=B_anchor_generation +[Dataset] cur_step=4688 phase=B_anchor_generation[Dataset] cur_step=4688 phase=B_anchor_generation + +[Dataset] cur_step=4688 phase=B_anchor_generation +[Dataset] cur_step=4688 phase=B_anchor_generation +[Dataset] cur_step=4688 phase=B_anchor_generation + 52%|███████████████▋ | 4688/9000 [2:53:08<5:14:50, 4.38s/it][Dataset] cur_step=4688 phase=B_anchor_generation + {'loss': '2.615', 'grad_norm': '1.16', 'learning_rate': '2.534e-05', 'epoch': '0.1687'} + 52%|███████████████▋ | 4688/9000 [2:53:08<5:14:50, 4.38s/it] {'lm_loss': '0.0001439', 'visual_loss': '2.87', 'seg_loss': '0.7877', 'dino_loss': '0.9042', 'depth_loss': '0.3273', 'vggt_mse_loss': '0.3248', 'vggt_cos_loss': '0.02476', 'pidinet_loss': '0.2244', 'siglip_loss': '0.6267', 'epoch': '0.1687'} + 52%|███████████████▋ | 4688/9000 [2:53:11<5:14:50, 4.38s/it][Dataset] cur_step=4689 phase=B_anchor_generation +[Dataset] cur_step=4689 phase=B_anchor_generation +[Dataset] cur_step=4689 phase=B_anchor_generation +[Dataset] cur_step=4689 phase=B_anchor_generation +[Dataset] cur_step=4689 phase=B_anchor_generation +[Dataset] cur_step=4689 phase=B_anchor_generation + 52%|███████████████▋ | 4689/9000 [2:53:12<5:01:57, 4.20s/it][Dataset] cur_step=4689 phase=B_anchor_generation +[Dataset] cur_step=4689 phase=B_anchor_generation + {'loss': '2.799', 'grad_norm': '1.672', 'learning_rate': '2.533e-05', 'epoch': '0.1687'} + 52%|███████████████▋ | 4689/9000 [2:53:12<5:01:57, 4.20s/it] {'lm_loss': '0.0002423', 'visual_loss': '2.616', 'seg_loss': '0.7806', 'dino_loss': '0.8655', 'depth_loss': '0.2089', 'vggt_mse_loss': '0.2078', 'vggt_cos_loss': '0.01057', 'pidinet_loss': '0.2294', 'siglip_loss': '0.5313', 'epoch': '0.1687'} + 52%|███████████████▋ | 4689/9000 [2:53:16<5:01:57, 4.20s/it][Dataset] cur_step=4690 phase=B_anchor_generation[Dataset] cur_step=4690 phase=B_anchor_generation + +[Dataset] cur_step=4690 phase=B_anchor_generation +[Dataset] cur_step=4690 phase=B_anchor_generation +[Dataset] cur_step=4690 phase=B_anchor_generation +[Dataset] cur_step=4690 phase=B_anchor_generation + 52%|███████████████▋ | 4690/9000 [2:53:16<4:55:32, 4.11s/it][Dataset] cur_step=4690 phase=B_anchor_generation +[Dataset] cur_step=4690 phase=B_anchor_generation + {'loss': '2.694', 'grad_norm': '1.696', 'learning_rate': '2.532e-05', 'epoch': '0.1687'} + 52%|███████████████▋ | 4690/9000 [2:53:16<4:55:32, 4.11s/it] {'lm_loss': '0.000235', 'visual_loss': '2.769', 'seg_loss': '0.7408', 'dino_loss': '0.8973', 'depth_loss': '0.3034', 'vggt_mse_loss': '0.3013', 'vggt_cos_loss': '0.0208', 'pidinet_loss': '0.2054', 'siglip_loss': '0.6223', 'epoch': '0.1687'} + 52%|███████████████▋ | 4690/9000 [2:53:19<4:55:32, 4.11s/it][Dataset] cur_step=4691 phase=B_anchor_generation[Dataset] cur_step=4691 phase=B_anchor_generation + +[Dataset] cur_step=4691 phase=B_anchor_generation +[Dataset] cur_step=4691 phase=B_anchor_generation +[Dataset] cur_step=4691 phase=B_anchor_generation +[Dataset] cur_step=4691 phase=B_anchor_generation + 52%|███████████████▋ | 4691/9000 [2:53:20<4:51:19, 4.06s/it][Dataset] cur_step=4691 phase=B_anchor_generation +[Dataset] cur_step=4691 phase=B_anchor_generation + {'loss': '2.725', 'grad_norm': '1.835', 'learning_rate': '2.531e-05', 'epoch': '0.1688'} + 52%|███████████████▋ | 4691/9000 [2:53:20<4:51:19, 4.06s/it] {'lm_loss': '0.0001187', 'visual_loss': '2.783', 'seg_loss': '0.767', 'dino_loss': '0.933', 'depth_loss': '0.2637', 'vggt_mse_loss': '0.2617', 'vggt_cos_loss': '0.02005', 'pidinet_loss': '0.2548', 'siglip_loss': '0.5648', 'epoch': '0.1688'} + 52%|███████████████▋ | 4691/9000 [2:53:23<4:51:19, 4.06s/it][Dataset] cur_step=4692 phase=B_anchor_generation +[Dataset] cur_step=4692 phase=B_anchor_generation +[Dataset] cur_step=4692 phase=B_anchor_generation +[Dataset] cur_step=4692 phase=B_anchor_generation +[Dataset] cur_step=4692 phase=B_anchor_generation + 52%|███████████████▋ | 4692/9000 [2:53:24<4:47:00, 4.00s/it][Dataset] cur_step=4692 phase=B_anchor_generation +[Dataset] cur_step=4692 phase=B_anchor_generation +[Dataset] cur_step=4692 phase=B_anchor_generation + {'loss': '2.663', 'grad_norm': '1.569', 'learning_rate': '2.53e-05', 'epoch': '0.1688'} + 52%|███████████████▋ | 4692/9000 [2:53:24<4:47:00, 4.00s/it] {'lm_loss': '0.0004165', 'visual_loss': '2.638', 'seg_loss': '0.7279', 'dino_loss': '0.8994', 'depth_loss': '0.2832', 'vggt_mse_loss': '0.2819', 'vggt_cos_loss': '0.01354', 'pidinet_loss': '0.2239', 'siglip_loss': '0.5031', 'epoch': '0.1688'} + 52%|███████████████▋ | 4692/9000 [2:53:27<4:47:00, 4.00s/it][Dataset] cur_step=4693 phase=B_anchor_generation +[Dataset] cur_step=4693 phase=B_anchor_generation +[Dataset] cur_step=4693 phase=B_anchor_generation +[Dataset] cur_step=4693 phase=B_anchor_generation +[Dataset] cur_step=4693 phase=B_anchor_generation +[Dataset] cur_step=4693 phase=B_anchor_generation[Dataset] cur_step=4693 phase=B_anchor_generation + + 52%|███████████████▋ | 4693/9000 [2:53:28<4:46:24, 3.99s/it][Dataset] cur_step=4693 phase=B_anchor_generation + {'loss': '2.613', 'grad_norm': '1.424', 'learning_rate': '2.529e-05', 'epoch': '0.1688'} + 52%|███████████████▋ | 4693/9000 [2:53:28<4:46:24, 3.99s/it] {'lm_loss': '0.0002135', 'visual_loss': '2.81', 'seg_loss': '0.8073', 'dino_loss': '0.9015', 'depth_loss': '0.2209', 'vggt_mse_loss': '0.2197', 'vggt_cos_loss': '0.01226', 'pidinet_loss': '0.2578', 'siglip_loss': '0.623', 'epoch': '0.1688'} + 52%|███████████████▋ | 4693/9000 [2:53:31<4:46:24, 3.99s/it][Dataset] cur_step=4694 phase=B_anchor_generation +[Dataset] cur_step=4694 phase=B_anchor_generation +[Dataset] cur_step=4694 phase=B_anchor_generation[Dataset] cur_step=4694 phase=B_anchor_generation +[Dataset] cur_step=4694 phase=B_anchor_generation + +[Dataset] cur_step=4694 phase=B_anchor_generation +[Dataset] cur_step=4694 phase=B_anchor_generation + 52%|███████████████▋ | 4694/9000 [2:53:32<4:50:06, 4.04s/it][Dataset] cur_step=4694 phase=B_anchor_generation + {'loss': '2.691', 'grad_norm': '2.56', 'learning_rate': '2.528e-05', 'epoch': '0.1689'} + 52%|███████████████▋ | 4694/9000 [2:53:32<4:50:06, 4.04s/it] {'lm_loss': '0.0004535', 'visual_loss': '2.99', 'seg_loss': '0.774', 'dino_loss': '0.9096', 'depth_loss': '0.2598', 'vggt_mse_loss': '0.258', 'vggt_cos_loss': '0.01789', 'pidinet_loss': '0.2755', 'siglip_loss': '0.7714', 'epoch': '0.1689'} + 52%|███████████████▋ | 4694/9000 [2:53:36<4:50:06, 4.04s/it][Dataset] cur_step=4695 phase=B_anchor_generation[Dataset] cur_step=4695 phase=B_anchor_generation + +[Dataset] cur_step=4695 phase=B_anchor_generation +[Dataset] cur_step=4695 phase=B_anchor_generation +[Dataset] cur_step=4695 phase=B_anchor_generation +[Dataset] cur_step=4695 phase=B_anchor_generation 52%|███████████████▋ | 4695/9000 [2:53:36<4:48:16, 4.02s/it] +[Dataset] cur_step=4695 phase=B_anchor_generation +[Dataset] cur_step=4695 phase=B_anchor_generation + {'loss': '2.867', 'grad_norm': '1.596', 'learning_rate': '2.528e-05', 'epoch': '0.1689'} + 52%|███████████████▋ | 4695/9000 [2:53:36<4:48:16, 4.02s/it] {'lm_loss': '0.0002428', 'visual_loss': '3.085', 'seg_loss': '0.6061', 'dino_loss': '0.9106', 'depth_loss': '0.3313', 'vggt_mse_loss': '0.3288', 'vggt_cos_loss': '0.02536', 'pidinet_loss': '0.3156', 'siglip_loss': '0.9219', 'epoch': '0.1689'} + 52%|███████████████▋ | 4695/9000 [2:53:40<4:48:16, 4.02s/it][Dataset] cur_step=4696 phase=B_anchor_generation +[Dataset] cur_step=4696 phase=B_anchor_generation +[Dataset] cur_step=4696 phase=B_anchor_generation[Dataset] cur_step=4696 phase=B_anchor_generation + +[Dataset] cur_step=4696 phase=B_anchor_generation +[Dataset] cur_step=4696 phase=B_anchor_generation[Dataset] cur_step=4696 phase=B_anchor_generation + + 52%|███████████████▋ | 4696/9000 [2:53:40<4:45:45, 3.98s/it][Dataset] cur_step=4696 phase=B_anchor_generation + {'loss': '2.77', 'grad_norm': '1.582', 'learning_rate': '2.527e-05', 'epoch': '0.1689'} + 52%|███████████████▋ | 4696/9000 [2:53:40<4:45:45, 3.98s/it] {'lm_loss': '7.404e-05', 'visual_loss': '2.913', 'seg_loss': '0.9114', 'dino_loss': '0.9275', 'depth_loss': '0.3806', 'vggt_mse_loss': '0.3779', 'vggt_cos_loss': '0.02696', 'pidinet_loss': '0.2187', 'siglip_loss': '0.4744', 'epoch': '0.1689'} + 52%|███████████████▋ | 4696/9000 [2:53:43<4:45:45, 3.98s/it][Dataset] cur_step=4697 phase=B_anchor_generation +[Dataset] cur_step=4697 phase=B_anchor_generation +[Dataset] cur_step=4697 phase=B_anchor_generation +[Dataset] cur_step=4697 phase=B_anchor_generation +[Dataset] cur_step=4697 phase=B_anchor_generation +[Dataset] cur_step=4697 phase=B_anchor_generation +[Dataset] cur_step=4697 phase=B_anchor_generation + 52%|███████████████▋ | 4697/9000 [2:53:44<4:41:32, 3.93s/it][Dataset] cur_step=4697 phase=B_anchor_generation + {'loss': '2.663', 'grad_norm': '3.524', 'learning_rate': '2.526e-05', 'epoch': '0.169'} + 52%|███████████████▋ | 4697/9000 [2:53:44<4:41:32, 3.93s/it] {'lm_loss': '0.0001491', 'visual_loss': '2.843', 'seg_loss': '0.5748', 'dino_loss': '0.8948', 'depth_loss': '0.1966', 'vggt_mse_loss': '0.1952', 'vggt_cos_loss': '0.01417', 'pidinet_loss': '0.2618', 'siglip_loss': '0.9146', 'epoch': '0.169'} + 52%|███████████████▋ | 4697/9000 [2:53:47<4:41:32, 3.93s/it][Dataset] cur_step=4698 phase=B_anchor_generation +[Dataset] cur_step=4698 phase=B_anchor_generation +[Dataset] cur_step=4698 phase=B_anchor_generation +[Dataset] cur_step=4698 phase=B_anchor_generation +[Dataset] cur_step=4698 phase=B_anchor_generation +[Dataset] cur_step=4698 phase=B_anchor_generation +[Dataset] cur_step=4698 phase=B_anchor_generation + 52%|███████████████▋ | 4698/9000 [2:53:50<5:22:54, 4.50s/it][Dataset] cur_step=4698 phase=B_anchor_generation + {'loss': '2.663', 'grad_norm': '3.775', 'learning_rate': '2.525e-05', 'epoch': '0.169'} + 52%|███████████████▋ | 4698/9000 [2:53:50<5:22:54, 4.50s/it] {'lm_loss': '0.0001998', 'visual_loss': '2.967', 'seg_loss': '0.7843', 'dino_loss': '0.9155', 'depth_loss': '0.3065', 'vggt_mse_loss': '0.3046', 'vggt_cos_loss': '0.01885', 'pidinet_loss': '0.2889', 'siglip_loss': '0.6717', 'epoch': '0.169'} + 52%|███████████████▋ | 4698/9000 [2:53:53<5:22:54, 4.50s/it][Dataset] cur_step=4699 phase=B_anchor_generation +[Dataset] cur_step=4699 phase=B_anchor_generation[Dataset] cur_step=4699 phase=B_anchor_generation + +[Dataset] cur_step=4699 phase=B_anchor_generation +[Dataset] cur_step=4699 phase=B_anchor_generation +[Dataset] cur_step=4699 phase=B_anchor_generation + 52%|███████████████▋ | 4699/9000 [2:53:53<5:07:03, 4.28s/it][Dataset] cur_step=4699 phase=B_anchor_generation +[Dataset] cur_step=4699 phase=B_anchor_generation + {'loss': '2.753', 'grad_norm': '4.649', 'learning_rate': '2.524e-05', 'epoch': '0.169'} + 52%|███████████████▋ | 4699/9000 [2:53:53<5:07:03, 4.28s/it] {'lm_loss': '0.0003164', 'visual_loss': '2.836', 'seg_loss': '0.7722', 'dino_loss': '0.9218', 'depth_loss': '0.2307', 'vggt_mse_loss': '0.2295', 'vggt_cos_loss': '0.01279', 'pidinet_loss': '0.2905', 'siglip_loss': '0.6205', 'epoch': '0.169'} + 52%|███████████████▋ | 4699/9000 [2:53:56<5:07:03, 4.28s/it][Dataset] cur_step=4700 phase=B_anchor_generation +[Dataset] cur_step=4700 phase=B_anchor_generation +[Dataset] cur_step=4700 phase=B_anchor_generation +[Dataset] cur_step=4700 phase=B_anchor_generation +[Dataset] cur_step=4700 phase=B_anchor_generation +[Dataset] cur_step=4700 phase=B_anchor_generation + 52%|███████████████▋ | 4700/9000 [2:53:57<4:50:08, 4.05s/it][Dataset] cur_step=4700 phase=B_anchor_generation +[Dataset] cur_step=4700 phase=B_anchor_generation + {'loss': '2.814', 'grad_norm': '1.921', 'learning_rate': '2.523e-05', 'epoch': '0.1691'} + 52%|███████████████▋ | 4700/9000 [2:53:57<4:50:08, 4.05s/it] {'lm_loss': '0.0001677', 'visual_loss': '2.407', 'seg_loss': '0.6318', 'dino_loss': '0.893', 'depth_loss': '0.2942', 'vggt_mse_loss': '0.2925', 'vggt_cos_loss': '0.01611', 'pidinet_loss': '0.1669', 'siglip_loss': '0.4209', 'epoch': '0.1691'} + 52%|███████████████▋ | 4700/9000 [2:54:00<4:50:08, 4.05s/it][Dataset] cur_step=4701 phase=B_anchor_generation[Dataset] cur_step=4701 phase=B_anchor_generation + +[Dataset] cur_step=4701 phase=B_anchor_generation[Dataset] cur_step=4701 phase=B_anchor_generation + + 52%|███████████████▋ | 4701/9000 [2:54:01<4:47:44, 4.02s/it][Dataset] cur_step=4701 phase=B_anchor_generation +[Dataset] cur_step=4701 phase=B_anchor_generation +[Dataset] cur_step=4701 phase=B_anchor_generation +[Dataset] cur_step=4701 phase=B_anchor_generation + {'loss': '2.667', 'grad_norm': '1.518', 'learning_rate': '2.522e-05', 'epoch': '0.1691'} + 52%|███████████████▋ | 4701/9000 [2:54:01<4:47:44, 4.02s/it] {'lm_loss': '0.0006875', 'visual_loss': '2.766', 'seg_loss': '0.7003', 'dino_loss': '0.8683', 'depth_loss': '0.2348', 'vggt_mse_loss': '0.2334', 'vggt_cos_loss': '0.01411', 'pidinet_loss': '0.3165', 'siglip_loss': '0.6463', 'epoch': '0.1691'} + 52%|███████████████▋ | 4701/9000 [2:54:05<4:47:44, 4.02s/it][Dataset] cur_step=4702 phase=B_anchor_generation[Dataset] cur_step=4702 phase=B_anchor_generation + +[Dataset] cur_step=4702 phase=B_anchor_generation +[Dataset] cur_step=4702 phase=B_anchor_generation +[Dataset] cur_step=4702 phase=B_anchor_generation +[Dataset] cur_step=4702 phase=B_anchor_generation +[Dataset] cur_step=4702 phase=B_anchor_generation +[Dataset] cur_step=4702 phase=B_anchor_generation + 52%|███████████████▋ | 4702/9000 [2:54:05<4:52:07, 4.08s/it] {'loss': '2.762', 'grad_norm': '1.905', 'learning_rate': '2.521e-05', 'epoch': '0.1692'} + 52%|███████████████▋ | 4702/9000 [2:54:05<4:52:07, 4.08s/it] {'lm_loss': '0.0001393', 'visual_loss': '2.479', 'seg_loss': '0.7128', 'dino_loss': '0.8887', 'depth_loss': '0.2279', 'vggt_mse_loss': '0.2266', 'vggt_cos_loss': '0.01267', 'pidinet_loss': '0.1856', 'siglip_loss': '0.4638', 'epoch': '0.1692'} + 52%|███████████████▋ | 4702/9000 [2:54:08<4:52:07, 4.08s/it][Dataset] cur_step=4703 phase=B_anchor_generation +[Dataset] cur_step=4703 phase=B_anchor_generation +[Dataset] cur_step=4703 phase=B_anchor_generation +[Dataset] cur_step=4703 phase=B_anchor_generation +[Dataset] cur_step=4703 phase=B_anchor_generation[Dataset] cur_step=4703 phase=B_anchor_generation + + 52%|███████████████▋ | 4703/9000 [2:54:11<5:30:37, 4.62s/it][Dataset] cur_step=4703 phase=B_anchor_generation +[Dataset] cur_step=4703 phase=B_anchor_generation + {'loss': '2.673', 'grad_norm': '1.372', 'learning_rate': '2.52e-05', 'epoch': '0.1692'} + 52%|███████████████▋ | 4703/9000 [2:54:11<5:30:37, 4.62s/it] {'lm_loss': '0.0001893', 'visual_loss': '2.706', 'seg_loss': '0.7074', 'dino_loss': '0.9194', 'depth_loss': '0.3734', 'vggt_mse_loss': '0.3704', 'vggt_cos_loss': '0.02928', 'pidinet_loss': '0.2341', 'siglip_loss': '0.4715', 'epoch': '0.1692'} + 52%|███████████████▋ | 4703/9000 [2:54:14<5:30:37, 4.62s/it][Dataset] cur_step=4704 phase=B_anchor_generation +[Dataset] cur_step=4704 phase=B_anchor_generation +[Dataset] cur_step=4704 phase=B_anchor_generation +[Dataset] cur_step=4704 phase=B_anchor_generation + 52%|███████████████▋ | 4704/9000 [2:54:15<5:17:10, 4.43s/it][Dataset] cur_step=4704 phase=B_anchor_generation +[Dataset] cur_step=4704 phase=B_anchor_generation +[Dataset] cur_step=4704 phase=B_anchor_generation +[Dataset] cur_step=4704 phase=B_anchor_generation + {'loss': '2.776', 'grad_norm': '1.393', 'learning_rate': '2.519e-05', 'epoch': '0.1692'} + 52%|███████████████▋ | 4704/9000 [2:54:15<5:17:10, 4.43s/it] {'lm_loss': '0.0002062', 'visual_loss': '2.603', 'seg_loss': '0.6582', 'dino_loss': '0.8932', 'depth_loss': '0.2417', 'vggt_mse_loss': '0.2402', 'vggt_cos_loss': '0.0149', 'pidinet_loss': '0.2176', 'siglip_loss': '0.5928', 'epoch': '0.1692'} + 52%|███████████████▋ | 4704/9000 [2:54:18<5:17:10, 4.43s/it][Dataset] cur_step=4705 phase=B_anchor_generation +[Dataset] cur_step=4705 phase=B_anchor_generation +[Dataset] cur_step=4705 phase=B_anchor_generation +[Dataset] cur_step=4705 phase=B_anchor_generation[Dataset] cur_step=4705 phase=B_anchor_generation + +[Dataset] cur_step=4705 phase=B_anchor_generation + 52%|███████████████▋ | 4705/9000 [2:54:21<5:51:59, 4.92s/it][Dataset] cur_step=4705 phase=B_anchor_generation +[Dataset] cur_step=4705 phase=B_anchor_generation + {'loss': '2.815', 'grad_norm': '1.325', 'learning_rate': '2.518e-05', 'epoch': '0.1693'} + 52%|███████████████▋ | 4705/9000 [2:54:21<5:51:59, 4.92s/it] {'lm_loss': '0.0001625', 'visual_loss': '2.877', 'seg_loss': '0.7219', 'dino_loss': '0.8967', 'depth_loss': '0.3419', 'vggt_mse_loss': '0.3394', 'vggt_cos_loss': '0.02458', 'pidinet_loss': '0.2539', 'siglip_loss': '0.6628', 'epoch': '0.1693'} + 52%|███████████████▋ | 4705/9000 [2:54:24<5:51:59, 4.92s/it][Dataset] cur_step=4706 phase=B_anchor_generation +[Dataset] cur_step=4706 phase=B_anchor_generation +[Dataset] cur_step=4706 phase=B_anchor_generation +[Dataset] cur_step=4706 phase=B_anchor_generation[Dataset] cur_step=4706 phase=B_anchor_generation + + 52%|███████████████▋ | 4706/9000 [2:54:25<5:32:58, 4.65s/it][Dataset] cur_step=4706 phase=B_anchor_generation +[Dataset] cur_step=4706 phase=B_anchor_generation +[Dataset] cur_step=4706 phase=B_anchor_generation + {'loss': '2.744', 'grad_norm': '1.42', 'learning_rate': '2.517e-05', 'epoch': '0.1693'} + 52%|███████████████▋ | 4706/9000 [2:54:25<5:32:58, 4.65s/it] {'lm_loss': '0.0003356', 'visual_loss': '2.658', 'seg_loss': '0.7886', 'dino_loss': '0.8929', 'depth_loss': '0.1976', 'vggt_mse_loss': '0.1966', 'vggt_cos_loss': '0.01008', 'pidinet_loss': '0.2312', 'siglip_loss': '0.5477', 'epoch': '0.1693'} + 52%|███████████████▋ | 4706/9000 [2:54:28<5:32:58, 4.65s/it][Dataset] cur_step=4707 phase=B_anchor_generation +[Dataset] cur_step=4707 phase=B_anchor_generation +[Dataset] cur_step=4707 phase=B_anchor_generation[Dataset] cur_step=4707 phase=B_anchor_generation + +[Dataset] cur_step=4707 phase=B_anchor_generation +[Dataset] cur_step=4707 phase=B_anchor_generation +[Dataset] cur_step=4707 phase=B_anchor_generation + 52%|███████████████▋ | 4707/9000 [2:54:29<5:20:44, 4.48s/it][Dataset] cur_step=4707 phase=B_anchor_generation + {'loss': '2.77', 'grad_norm': '2.932', 'learning_rate': '2.517e-05', 'epoch': '0.1693'} + 52%|███████████████▋ | 4707/9000 [2:54:29<5:20:44, 4.48s/it] {'lm_loss': '0.003895', 'visual_loss': '2.468', 'seg_loss': '0.6459', 'dino_loss': '0.8835', 'depth_loss': '0.2081', 'vggt_mse_loss': '0.2069', 'vggt_cos_loss': '0.0125', 'pidinet_loss': '0.1831', 'siglip_loss': '0.5471', 'epoch': '0.1693'} + 52%|███████████████▋ | 4707/9000 [2:54:32<5:20:44, 4.48s/it][Dataset] cur_step=4708 phase=B_anchor_generation +[Dataset] cur_step=4708 phase=B_anchor_generation +[Dataset] cur_step=4708 phase=B_anchor_generation +[Dataset] cur_step=4708 phase=B_anchor_generation +[Dataset] cur_step=4708 phase=B_anchor_generation +[Dataset] cur_step=4708 phase=B_anchor_generation + 52%|███████████████▋ | 4708/9000 [2:54:33<5:04:36, 4.26s/it][Dataset] cur_step=4708 phase=B_anchor_generation +[Dataset] cur_step=4708 phase=B_anchor_generation + {'loss': '2.649', 'grad_norm': '1.978', 'learning_rate': '2.516e-05', 'epoch': '0.1694'} + 52%|███████████████▋ | 4708/9000 [2:54:33<5:04:36, 4.26s/it] {'lm_loss': '0.0002463', 'visual_loss': '2.722', 'seg_loss': '0.6497', 'dino_loss': '0.9184', 'depth_loss': '0.2373', 'vggt_mse_loss': '0.2355', 'vggt_cos_loss': '0.01727', 'pidinet_loss': '0.1998', 'siglip_loss': '0.7168', 'epoch': '0.1694'} + 52%|███████████████▋ | 4708/9000 [2:54:36<5:04:36, 4.26s/it][Dataset] cur_step=4709 phase=B_anchor_generation +[Dataset] cur_step=4709 phase=B_anchor_generation +[Dataset] cur_step=4709 phase=B_anchor_generation +[Dataset] cur_step=4709 phase=B_anchor_generation +[Dataset] cur_step=4709 phase=B_anchor_generation +[Dataset] cur_step=4709 phase=B_anchor_generation +[Dataset] cur_step=4709 phase=B_anchor_generation +[Dataset] cur_step=4709 phase=B_anchor_generation + 52%|███████████████▋ | 4709/9000 [2:54:39<5:47:52, 4.86s/it] {'loss': '2.728', 'grad_norm': '1.221', 'learning_rate': '2.515e-05', 'epoch': '0.1694'} + 52%|███████████████▋ | 4709/9000 [2:54:39<5:47:52, 4.86s/it] {'lm_loss': '0.0001393', 'visual_loss': '2.333', 'seg_loss': '0.6088', 'dino_loss': '0.8872', 'depth_loss': '0.2245', 'vggt_mse_loss': '0.2231', 'vggt_cos_loss': '0.01428', 'pidinet_loss': '0.2054', 'siglip_loss': '0.4076', 'epoch': '0.1694'} + 52%|███████████████▋ | 4709/9000 [2:54:43<5:47:52, 4.86s/it][Dataset] cur_step=4710 phase=B_anchor_generation +[Dataset] cur_step=4710 phase=B_anchor_generation[Dataset] cur_step=4710 phase=B_anchor_generation[Dataset] cur_step=4710 phase=B_anchor_generation + +[Dataset] cur_step=4710 phase=B_anchor_generation +[Dataset] cur_step=4710 phase=B_anchor_generation + + 52%|███████████████▋ | 4710/9000 [2:54:43<5:31:18, 4.63s/it][Dataset] cur_step=4710 phase=B_anchor_generation +[Dataset] cur_step=4710 phase=B_anchor_generation + {'loss': '2.679', 'grad_norm': '1.325', 'learning_rate': '2.514e-05', 'epoch': '0.1694'} + 52%|███████████████▋ | 4710/9000 [2:54:43<5:31:18, 4.63s/it] {'lm_loss': '0.0002363', 'visual_loss': '2.247', 'seg_loss': '0.605', 'dino_loss': '0.8587', 'depth_loss': '0.2268', 'vggt_mse_loss': '0.2256', 'vggt_cos_loss': '0.01133', 'pidinet_loss': '0.1758', 'siglip_loss': '0.3808', 'epoch': '0.1694'} + 52%|███████████████▋ | 4710/9000 [2:54:47<5:31:18, 4.63s/it][Dataset] cur_step=4711 phase=B_anchor_generation[Dataset] cur_step=4711 phase=B_anchor_generation + +[Dataset] cur_step=4711 phase=B_anchor_generation +[Dataset] cur_step=4711 phase=B_anchor_generation[Dataset] cur_step=4711 phase=B_anchor_generation + + 52%|███████████████▋ | 4711/9000 [2:54:47<5:22:25, 4.51s/it][Dataset] cur_step=4711 phase=B_anchor_generation +[Dataset] cur_step=4711 phase=B_anchor_generation +[Dataset] cur_step=4711 phase=B_anchor_generation + {'loss': '2.683', 'grad_norm': '1.526', 'learning_rate': '2.513e-05', 'epoch': '0.1695'} + 52%|███████████████▋ | 4711/9000 [2:54:47<5:22:25, 4.51s/it] {'lm_loss': '0.0003013', 'visual_loss': '2.824', 'seg_loss': '0.653', 'dino_loss': '0.9388', 'depth_loss': '0.315', 'vggt_mse_loss': '0.3131', 'vggt_cos_loss': '0.01836', 'pidinet_loss': '0.2315', 'siglip_loss': '0.6859', 'epoch': '0.1695'} + 52%|███████████████▋ | 4711/9000 [2:54:51<5:22:25, 4.51s/it][Dataset] cur_step=4712 phase=B_anchor_generation +[Dataset] cur_step=4712 phase=B_anchor_generation +[Dataset] cur_step=4712 phase=B_anchor_generation[Dataset] cur_step=4712 phase=B_anchor_generation + + 52%|███████████████▋ | 4712/9000 [2:54:51<5:04:51, 4.27s/it][Dataset] cur_step=4712 phase=B_anchor_generation +[Dataset] cur_step=4712 phase=B_anchor_generation +[Dataset] cur_step=4712 phase=B_anchor_generation +[Dataset] cur_step=4712 phase=B_anchor_generation + {'loss': '2.809', 'grad_norm': '2.579', 'learning_rate': '2.512e-05', 'epoch': '0.1695'} + 52%|███████████████▋ | 4712/9000 [2:54:51<5:04:51, 4.27s/it] {'lm_loss': '0.0002108', 'visual_loss': '2.526', 'seg_loss': '0.6699', 'dino_loss': '0.9086', 'depth_loss': '0.2639', 'vggt_mse_loss': '0.2624', 'vggt_cos_loss': '0.01496', 'pidinet_loss': '0.2072', 'siglip_loss': '0.4766', 'epoch': '0.1695'} + 52%|███████████████▋ | 4712/9000 [2:54:54<5:04:51, 4.27s/it][Dataset] cur_step=4713 phase=B_anchor_generation +[Dataset] cur_step=4713 phase=B_anchor_generation +[Dataset] cur_step=4713 phase=B_anchor_generation +[Dataset] cur_step=4713 phase=B_anchor_generation + 52%|███████████████▋ | 4713/9000 [2:54:55<4:53:19, 4.11s/it][Dataset] cur_step=4713 phase=B_anchor_generation +[Dataset] cur_step=4713 phase=B_anchor_generation +[Dataset] cur_step=4713 phase=B_anchor_generation +[Dataset] cur_step=4713 phase=B_anchor_generation + {'loss': '2.809', 'grad_norm': '2.818', 'learning_rate': '2.511e-05', 'epoch': '0.1696'} + 52%|███████████████▋ | 4713/9000 [2:54:55<4:53:19, 4.11s/it] {'lm_loss': '0.0002125', 'visual_loss': '2.901', 'seg_loss': '0.7159', 'dino_loss': '0.9022', 'depth_loss': '0.2479', 'vggt_mse_loss': '0.2462', 'vggt_cos_loss': '0.01738', 'pidinet_loss': '0.2653', 'siglip_loss': '0.7699', 'epoch': '0.1696'} + 52%|███████████████▋ | 4713/9000 [2:54:58<4:53:19, 4.11s/it][Dataset] cur_step=4714 phase=B_anchor_generation +[Dataset] cur_step=4714 phase=B_anchor_generation +[Dataset] cur_step=4714 phase=B_anchor_generation[Dataset] cur_step=4714 phase=B_anchor_generation + + 52%|███████████████▋ | 4714/9000 [2:55:01<5:33:49, 4.67s/it][Dataset] cur_step=4714 phase=B_anchor_generation +[Dataset] cur_step=4714 phase=B_anchor_generation +[Dataset] cur_step=4714 phase=B_anchor_generation +[Dataset] cur_step=4714 phase=B_anchor_generation + {'loss': '2.79', 'grad_norm': '2.845', 'learning_rate': '2.51e-05', 'epoch': '0.1696'} + 52%|███████████████▋ | 4714/9000 [2:55:01<5:33:49, 4.67s/it] {'lm_loss': '0.0002678', 'visual_loss': '2.802', 'seg_loss': '0.756', 'dino_loss': '0.9336', 'depth_loss': '0.2564', 'vggt_mse_loss': '0.2546', 'vggt_cos_loss': '0.01793', 'pidinet_loss': '0.2492', 'siglip_loss': '0.607', 'epoch': '0.1696'} + 52%|███████████████▋ | 4714/9000 [2:55:07<5:33:49, 4.67s/it][Dataset] cur_step=4715 phase=B_anchor_generation[Dataset] cur_step=4715 phase=B_anchor_generation + +[Dataset] cur_step=4715 phase=B_anchor_generation[Dataset] cur_step=4715 phase=B_anchor_generation + +[Dataset] cur_step=4715 phase=B_anchor_generation +[Dataset] cur_step=4715 phase=B_anchor_generation[Dataset] cur_step=4715 phase=B_anchor_generation + + 52%|███████████████▋ | 4715/9000 [2:55:08<6:26:23, 5.41s/it][Dataset] cur_step=4715 phase=B_anchor_generation + {'loss': '2.732', 'grad_norm': '1.893', 'learning_rate': '2.509e-05', 'epoch': '0.1696'} + 52%|███████████████▋ | 4715/9000 [2:55:08<6:26:23, 5.41s/it] {'lm_loss': '0.0002045', 'visual_loss': '2.647', 'seg_loss': '0.6824', 'dino_loss': '0.9144', 'depth_loss': '0.3291', 'vggt_mse_loss': '0.3271', 'vggt_cos_loss': '0.01997', 'pidinet_loss': '0.225', 'siglip_loss': '0.4963', 'epoch': '0.1696'} + 52%|███████████████▋ | 4715/9000 [2:55:11<6:26:23, 5.41s/it][Dataset] cur_step=4716 phase=B_anchor_generation +[Dataset] cur_step=4716 phase=B_anchor_generation +[Dataset] cur_step=4716 phase=B_anchor_generation +[Dataset] cur_step=4716 phase=B_anchor_generation +[Dataset] cur_step=4716 phase=B_anchor_generation + 52%|███████████████▋ | 4716/9000 [2:55:12<5:54:18, 4.96s/it][Dataset] cur_step=4716 phase=B_anchor_generation +[Dataset] cur_step=4716 phase=B_anchor_generation +[Dataset] cur_step=4716 phase=B_anchor_generation + {'loss': '2.774', 'grad_norm': '1.556', 'learning_rate': '2.508e-05', 'epoch': '0.1697'} + 52%|███████████████▋ | 4716/9000 [2:55:12<5:54:18, 4.96s/it] {'lm_loss': '0.0002863', 'visual_loss': '2.337', 'seg_loss': '0.5897', 'dino_loss': '0.8895', 'depth_loss': '0.2766', 'vggt_mse_loss': '0.2752', 'vggt_cos_loss': '0.01384', 'pidinet_loss': '0.1328', 'siglip_loss': '0.4487', 'epoch': '0.1697'} + 52%|███████████████▋ | 4716/9000 [2:55:16<5:54:18, 4.96s/it][Dataset] cur_step=4717 phase=B_anchor_generation +[Dataset] cur_step=4717 phase=B_anchor_generation + 52%|███████████████▋ | 4717/9000 [2:55:16<5:36:58, 4.72s/it][Dataset] cur_step=4717 phase=B_anchor_generation +[Dataset] cur_step=4717 phase=B_anchor_generation +[Dataset] cur_step=4717 phase=B_anchor_generation[Dataset] cur_step=4717 phase=B_anchor_generation + +[Dataset] cur_step=4717 phase=B_anchor_generation +[Dataset] cur_step=4717 phase=B_anchor_generation + {'loss': '2.623', 'grad_norm': '1.438', 'learning_rate': '2.507e-05', 'epoch': '0.1697'} + 52%|███████████████▋ | 4717/9000 [2:55:16<5:36:58, 4.72s/it] {'lm_loss': '0.0001296', 'visual_loss': '2.792', 'seg_loss': '0.769', 'dino_loss': '0.9284', 'depth_loss': '0.2408', 'vggt_mse_loss': '0.2391', 'vggt_cos_loss': '0.01697', 'pidinet_loss': '0.2146', 'siglip_loss': '0.6389', 'epoch': '0.1697'} + 52%|███████████████▋ | 4717/9000 [2:55:19<5:36:58, 4.72s/it][Dataset] cur_step=4718 phase=B_anchor_generation +[Dataset] cur_step=4718 phase=B_anchor_generation +[Dataset] cur_step=4718 phase=B_anchor_generation +[Dataset] cur_step=4718 phase=B_anchor_generation +[Dataset] cur_step=4718 phase=B_anchor_generation[Dataset] cur_step=4718 phase=B_anchor_generation + + 52%|███████████████▋ | 4718/9000 [2:55:20<5:21:07, 4.50s/it][Dataset] cur_step=4718 phase=B_anchor_generation +[Dataset] cur_step=4718 phase=B_anchor_generation + {'loss': '2.713', 'grad_norm': '1.15', 'learning_rate': '2.506e-05', 'epoch': '0.1697'} + 52%|███████████████▋ | 4718/9000 [2:55:20<5:21:07, 4.50s/it] {'lm_loss': '0.0001438', 'visual_loss': '2.779', 'seg_loss': '0.7857', 'dino_loss': '0.9191', 'depth_loss': '0.3111', 'vggt_mse_loss': '0.3091', 'vggt_cos_loss': '0.01992', 'pidinet_loss': '0.2758', 'siglip_loss': '0.4876', 'epoch': '0.1697'} + 52%|███████████████▋ | 4718/9000 [2:55:23<5:21:07, 4.50s/it][Dataset] cur_step=4719 phase=B_anchor_generation +[Dataset] cur_step=4719 phase=B_anchor_generation +[Dataset] cur_step=4719 phase=B_anchor_generation +[Dataset] cur_step=4719 phase=B_anchor_generation +[Dataset] cur_step=4719 phase=B_anchor_generation[Dataset] cur_step=4719 phase=B_anchor_generation + +[Dataset] cur_step=4719 phase=B_anchor_generation +[Dataset] cur_step=4719 phase=B_anchor_generation + 52%|███████████████▋ | 4719/9000 [2:55:24<5:11:43, 4.37s/it] {'loss': '2.757', 'grad_norm': '1.364', 'learning_rate': '2.506e-05', 'epoch': '0.1698'} + 52%|███████████████▋ | 4719/9000 [2:55:24<5:11:43, 4.37s/it] {'lm_loss': '0.0002698', 'visual_loss': '2.861', 'seg_loss': '0.7519', 'dino_loss': '0.918', 'depth_loss': '0.289', 'vggt_mse_loss': '0.2873', 'vggt_cos_loss': '0.01777', 'pidinet_loss': '0.2315', 'siglip_loss': '0.6709', 'epoch': '0.1698'} + 52%|███████████████▋ | 4719/9000 [2:55:27<5:11:43, 4.37s/it][Dataset] cur_step=4720 phase=B_anchor_generation[Dataset] cur_step=4720 phase=B_anchor_generation + +[Dataset] cur_step=4720 phase=B_anchor_generation +[Dataset] cur_step=4720 phase=B_anchor_generation +[Dataset] cur_step=4720 phase=B_anchor_generation[Dataset] cur_step=4720 phase=B_anchor_generation + + 52%|███████████████▋ | 4720/9000 [2:55:28<5:02:20, 4.24s/it][Dataset] cur_step=4720 phase=B_anchor_generation +[Dataset] cur_step=4720 phase=B_anchor_generation + {'loss': '2.772', 'grad_norm': '1.62', 'learning_rate': '2.505e-05', 'epoch': '0.1698'} + 52%|███████████████▋ | 4720/9000 [2:55:28<5:02:20, 4.24s/it] {'lm_loss': '0.0002749', 'visual_loss': '2.451', 'seg_loss': '0.6936', 'dino_loss': '0.8988', 'depth_loss': '0.2251', 'vggt_mse_loss': '0.224', 'vggt_cos_loss': '0.01098', 'pidinet_loss': '0.2121', 'siglip_loss': '0.421', 'epoch': '0.1698'} + 52%|███████████████▋ | 4720/9000 [2:55:31<5:02:20, 4.24s/it][Dataset] cur_step=4721 phase=B_anchor_generation +[Dataset] cur_step=4721 phase=B_anchor_generation +[Dataset] cur_step=4721 phase=B_anchor_generation +[Dataset] cur_step=4721 phase=B_anchor_generation +[Dataset] cur_step=4721 phase=B_anchor_generation 52%|███████████████▋ | 4721/9000 [2:55:32<5:01:00, 4.22s/it] +[Dataset] cur_step=4721 phase=B_anchor_generation +[Dataset] cur_step=4721 phase=B_anchor_generation +[Dataset] cur_step=4721 phase=B_anchor_generation + {'loss': '2.675', 'grad_norm': '1.166', 'learning_rate': '2.504e-05', 'epoch': '0.1698'} + 52%|███████████████▋ | 4721/9000 [2:55:32<5:01:00, 4.22s/it] {'lm_loss': '0.0004781', 'visual_loss': '2.547', 'seg_loss': '0.7203', 'dino_loss': '0.8927', 'depth_loss': '0.259', 'vggt_mse_loss': '0.2578', 'vggt_cos_loss': '0.01212', 'pidinet_loss': '0.2154', 'siglip_loss': '0.4596', 'epoch': '0.1698'} + 52%|███████████████▋ | 4721/9000 [2:55:36<5:01:00, 4.22s/it][Dataset] cur_step=4722 phase=B_anchor_generation +[Dataset] cur_step=4722 phase=B_anchor_generation +[Dataset] cur_step=4722 phase=B_anchor_generation + 52%|███████████████▋ | 4722/9000 [2:55:36<4:58:14, 4.18s/it][Dataset] cur_step=4722 phase=B_anchor_generation[Dataset] cur_step=4722 phase=B_anchor_generation + +[Dataset] cur_step=4722 phase=B_anchor_generation +[Dataset] cur_step=4722 phase=B_anchor_generation +[Dataset] cur_step=4722 phase=B_anchor_generation + {'loss': '2.746', 'grad_norm': '1.432', 'learning_rate': '2.503e-05', 'epoch': '0.1699'} + 52%|███████████████▋ | 4722/9000 [2:55:36<4:58:14, 4.18s/it] {'lm_loss': '0.0003573', 'visual_loss': '2.527', 'seg_loss': '0.6374', 'dino_loss': '0.9207', 'depth_loss': '0.2746', 'vggt_mse_loss': '0.2728', 'vggt_cos_loss': '0.0186', 'pidinet_loss': '0.2401', 'siglip_loss': '0.454', 'epoch': '0.1699'} + 52%|███████████████▋ | 4722/9000 [2:55:40<4:58:14, 4.18s/it][Dataset] cur_step=4723 phase=B_anchor_generation[Dataset] cur_step=4723 phase=B_anchor_generation + +[Dataset] cur_step=4723 phase=B_anchor_generation +[Dataset] cur_step=4723 phase=B_anchor_generation +[Dataset] cur_step=4723 phase=B_anchor_generation + 52%|███████████████▋ | 4723/9000 [2:55:40<4:48:09, 4.04s/it][Dataset] cur_step=4723 phase=B_anchor_generation +[Dataset] cur_step=4723 phase=B_anchor_generation +[Dataset] cur_step=4723 phase=B_anchor_generation + {'loss': '2.697', 'grad_norm': '3.099', 'learning_rate': '2.502e-05', 'epoch': '0.1699'} + 52%|███████████████▋ | 4723/9000 [2:55:40<4:48:09, 4.04s/it] {'lm_loss': '0.000132', 'visual_loss': '2.631', 'seg_loss': '0.7411', 'dino_loss': '0.9158', 'depth_loss': '0.2651', 'vggt_mse_loss': '0.2635', 'vggt_cos_loss': '0.01547', 'pidinet_loss': '0.2362', 'siglip_loss': '0.4733', 'epoch': '0.1699'} + 52%|███████████████▋ | 4723/9000 [2:55:43<4:48:09, 4.04s/it][Dataset] cur_step=4724 phase=B_anchor_generation +[Dataset] cur_step=4724 phase=B_anchor_generation +[Dataset] cur_step=4724 phase=B_anchor_generation[Dataset] cur_step=4724 phase=B_anchor_generation + +[Dataset] cur_step=4724 phase=B_anchor_generation[Dataset] cur_step=4724 phase=B_anchor_generation + + 52%|███████████████▋ | 4724/9000 [2:55:44<4:44:55, 4.00s/it][Dataset] cur_step=4724 phase=B_anchor_generation +[Dataset] cur_step=4724 phase=B_anchor_generation + {'loss': '2.785', 'grad_norm': '1.646', 'learning_rate': '2.501e-05', 'epoch': '0.1699'} + 52%|███████████████▋ | 4724/9000 [2:55:44<4:44:55, 4.00s/it] {'lm_loss': '0.0002777', 'visual_loss': '2.365', 'seg_loss': '0.6231', 'dino_loss': '0.8944', 'depth_loss': '0.2298', 'vggt_mse_loss': '0.2285', 'vggt_cos_loss': '0.01312', 'pidinet_loss': '0.1796', 'siglip_loss': '0.4382', 'epoch': '0.1699'} + 52%|███████████████▋ | 4724/9000 [2:55:47<4:44:55, 4.00s/it][Dataset] cur_step=4725 phase=B_anchor_generation +[Dataset] cur_step=4725 phase=B_anchor_generation +[Dataset] cur_step=4725 phase=B_anchor_generation +[Dataset] cur_step=4725 phase=B_anchor_generation +[Dataset] cur_step=4725 phase=B_anchor_generation +[Dataset] cur_step=4725 phase=B_anchor_generation + 52%|███████████████▊ | 4725/9000 [2:55:48<4:42:13, 3.96s/it][Dataset] cur_step=4725 phase=B_anchor_generation +[Dataset] cur_step=4725 phase=B_anchor_generation + {'loss': '2.635', 'grad_norm': '1.431', 'learning_rate': '2.5e-05', 'epoch': '0.17'} + 52%|███████████████▊ | 4725/9000 [2:55:48<4:42:13, 3.96s/it] {'lm_loss': '0.0001479', 'visual_loss': '2.84', 'seg_loss': '0.7914', 'dino_loss': '0.9314', 'depth_loss': '0.2518', 'vggt_mse_loss': '0.2501', 'vggt_cos_loss': '0.01777', 'pidinet_loss': '0.2734', 'siglip_loss': '0.5921', 'epoch': '0.17'} + 52%|███████████████▊ | 4725/9000 [2:55:51<4:42:13, 3.96s/it][Dataset] cur_step=4726 phase=B_anchor_generation +[Dataset] cur_step=4726 phase=B_anchor_generation +[Dataset] cur_step=4726 phase=B_anchor_generation +[Dataset] cur_step=4726 phase=B_anchor_generation +[Dataset] cur_step=4726 phase=B_anchor_generation +[Dataset] cur_step=4726 phase=B_anchor_generation[Dataset] cur_step=4726 phase=B_anchor_generation + + 53%|███████████████▊ | 4726/9000 [2:55:52<4:44:12, 3.99s/it][Dataset] cur_step=4726 phase=B_anchor_generation + {'loss': '2.796', 'grad_norm': '3.594', 'learning_rate': '2.499e-05', 'epoch': '0.17'} + 53%|███████████████▊ | 4726/9000 [2:55:52<4:44:12, 3.99s/it] {'lm_loss': '0.0006903', 'visual_loss': '2.629', 'seg_loss': '0.7776', 'dino_loss': '0.8892', 'depth_loss': '0.2408', 'vggt_mse_loss': '0.2396', 'vggt_cos_loss': '0.0128', 'pidinet_loss': '0.1991', 'siglip_loss': '0.5219', 'epoch': '0.17'} + 53%|███████████████▊ | 4726/9000 [2:55:55<4:44:12, 3.99s/it][Dataset] cur_step=4727 phase=B_anchor_generation +[Dataset] cur_step=4727 phase=B_anchor_generation +[Dataset] cur_step=4727 phase=B_anchor_generation +[Dataset] cur_step=4727 phase=B_anchor_generation +[Dataset] cur_step=4727 phase=B_anchor_generation +[Dataset] cur_step=4727 phase=B_anchor_generation +[Dataset] cur_step=4727 phase=B_anchor_generation + 53%|███████████████▊ | 4727/9000 [2:55:56<4:45:31, 4.01s/it][Dataset] cur_step=4727 phase=B_anchor_generation + {'loss': '2.701', 'grad_norm': '1.775', 'learning_rate': '2.498e-05', 'epoch': '0.1701'} + 53%|███████████████▊ | 4727/9000 [2:55:56<4:45:31, 4.01s/it] {'lm_loss': '0.000127', 'visual_loss': '2.73', 'seg_loss': '0.7443', 'dino_loss': '0.9261', 'depth_loss': '0.2102', 'vggt_mse_loss': '0.2085', 'vggt_cos_loss': '0.01683', 'pidinet_loss': '0.2472', 'siglip_loss': '0.6025', 'epoch': '0.1701'} + 53%|███████████████▊ | 4727/9000 [2:55:59<4:45:31, 4.01s/it][Dataset] cur_step=4728 phase=B_anchor_generation +[Dataset] cur_step=4728 phase=B_anchor_generation +[Dataset] cur_step=4728 phase=B_anchor_generation +[Dataset] cur_step=4728 phase=B_anchor_generation +[Dataset] cur_step=4728 phase=B_anchor_generation +[Dataset] cur_step=4728 phase=B_anchor_generation +[Dataset] cur_step=4728 phase=B_anchor_generation + 53%|███████████████▊ | 4728/9000 [2:56:00<4:48:25, 4.05s/it][Dataset] cur_step=4728 phase=B_anchor_generation + {'loss': '2.665', 'grad_norm': '2.201', 'learning_rate': '2.497e-05', 'epoch': '0.1701'} + 53%|███████████████▊ | 4728/9000 [2:56:00<4:48:25, 4.05s/it] {'lm_loss': '0.0002036', 'visual_loss': '2.823', 'seg_loss': '0.8375', 'dino_loss': '0.9217', 'depth_loss': '0.2745', 'vggt_mse_loss': '0.2724', 'vggt_cos_loss': '0.02126', 'pidinet_loss': '0.2523', 'siglip_loss': '0.5369', 'epoch': '0.1701'} + 53%|███████████████▊ | 4728/9000 [2:56:03<4:48:25, 4.05s/it][Dataset] cur_step=4729 phase=B_anchor_generation +[Dataset] cur_step=4729 phase=B_anchor_generation +[Dataset] cur_step=4729 phase=B_anchor_generation[Dataset] cur_step=4729 phase=B_anchor_generation + +[Dataset] cur_step=4729 phase=B_anchor_generation + 53%|███████████████▊ | 4729/9000 [2:56:04<4:45:57, 4.02s/it][Dataset] cur_step=4729 phase=B_anchor_generation +[Dataset] cur_step=4729 phase=B_anchor_generation +[Dataset] cur_step=4729 phase=B_anchor_generation + {'loss': '2.683', 'grad_norm': '1.452', 'learning_rate': '2.496e-05', 'epoch': '0.1701'} + 53%|███████████████▊ | 4729/9000 [2:56:04<4:45:57, 4.02s/it] {'lm_loss': '0.0001113', 'visual_loss': '2.906', 'seg_loss': '0.7589', 'dino_loss': '0.9147', 'depth_loss': '0.4104', 'vggt_mse_loss': '0.4082', 'vggt_cos_loss': '0.02208', 'pidinet_loss': '0.2637', 'siglip_loss': '0.5581', 'epoch': '0.1701'} + 53%|███████████████▊ | 4729/9000 [2:56:07<4:45:57, 4.02s/it][Dataset] cur_step=4730 phase=B_anchor_generation +[Dataset] cur_step=4730 phase=B_anchor_generation +[Dataset] cur_step=4730 phase=B_anchor_generation +[Dataset] cur_step=4730 phase=B_anchor_generation +[Dataset] cur_step=4730 phase=B_anchor_generation +[Dataset] cur_step=4730 phase=B_anchor_generation +[Dataset] cur_step=4730 phase=B_anchor_generation + 53%|███████████████▊ | 4730/9000 [2:56:08<4:42:26, 3.97s/it][Dataset] cur_step=4730 phase=B_anchor_generation + {'loss': '2.659', 'grad_norm': '1.707', 'learning_rate': '2.495e-05', 'epoch': '0.1702'} + 53%|███████████████▊ | 4730/9000 [2:56:08<4:42:26, 3.97s/it] {'lm_loss': '0.0001312', 'visual_loss': '2.879', 'seg_loss': '0.7535', 'dino_loss': '0.9186', 'depth_loss': '0.2446', 'vggt_mse_loss': '0.2431', 'vggt_cos_loss': '0.01575', 'pidinet_loss': '0.2845', 'siglip_loss': '0.6777', 'epoch': '0.1702'} + 53%|███████████████▊ | 4730/9000 [2:56:11<4:42:26, 3.97s/it][Dataset] cur_step=4731 phase=B_anchor_generation +[Dataset] cur_step=4731 phase=B_anchor_generation +[Dataset] cur_step=4731 phase=B_anchor_generation +[Dataset] cur_step=4731 phase=B_anchor_generation[Dataset] cur_step=4731 phase=B_anchor_generation + +[Dataset] cur_step=4731 phase=B_anchor_generation[Dataset] cur_step=4731 phase=B_anchor_generation + + 53%|███████████████▊ | 4731/9000 [2:56:12<4:39:16, 3.93s/it][Dataset] cur_step=4731 phase=B_anchor_generation + {'loss': '2.754', 'grad_norm': '1.448', 'learning_rate': '2.494e-05', 'epoch': '0.1702'} + 53%|███████████████▊ | 4731/9000 [2:56:12<4:39:16, 3.93s/it] {'lm_loss': '0.0001789', 'visual_loss': '2.809', 'seg_loss': '0.7348', 'dino_loss': '0.8961', 'depth_loss': '0.3147', 'vggt_mse_loss': '0.312', 'vggt_cos_loss': '0.02687', 'pidinet_loss': '0.2507', 'siglip_loss': '0.6121', 'epoch': '0.1702'} + 53%|███████████████▊ | 4731/9000 [2:56:14<4:39:16, 3.93s/it][Dataset] cur_step=4732 phase=B_anchor_generation[Dataset] cur_step=4732 phase=B_anchor_generation +[Dataset] cur_step=4732 phase=B_anchor_generation[Dataset] cur_step=4732 phase=B_anchor_generation + + +[Dataset] cur_step=4732 phase=B_anchor_generation +[Dataset] cur_step=4732 phase=B_anchor_generation + 53%|███████████████▊ | 4732/9000 [2:56:16<4:40:30, 3.94s/it][Dataset] cur_step=4732 phase=B_anchor_generation +[Dataset] cur_step=4732 phase=B_anchor_generation + {'loss': '2.831', 'grad_norm': '1.582', 'learning_rate': '2.494e-05', 'epoch': '0.1702'} + 53%|███████████████▊ | 4732/9000 [2:56:16<4:40:30, 3.94s/it] {'lm_loss': '0.0001986', 'visual_loss': '2.782', 'seg_loss': '0.8148', 'dino_loss': '0.9136', 'depth_loss': '0.232', 'vggt_mse_loss': '0.2304', 'vggt_cos_loss': '0.01622', 'pidinet_loss': '0.1878', 'siglip_loss': '0.6337', 'epoch': '0.1702'} + 53%|███████████████▊ | 4732/9000 [2:56:19<4:40:30, 3.94s/it][Dataset] cur_step=4733 phase=B_anchor_generation +[Dataset] cur_step=4733 phase=B_anchor_generation[Dataset] cur_step=4733 phase=B_anchor_generation + +[Dataset] cur_step=4733 phase=B_anchor_generation +[Dataset] cur_step=4733 phase=B_anchor_generation +[Dataset] cur_step=4733 phase=B_anchor_generation +[Dataset] cur_step=4733 phase=B_anchor_generation + 53%|███████████████▊ | 4733/9000 [2:56:20<4:49:01, 4.06s/it][Dataset] cur_step=4733 phase=B_anchor_generation + {'loss': '2.683', 'grad_norm': '2.846', 'learning_rate': '2.493e-05', 'epoch': '0.1703'} + 53%|███████████████▊ | 4733/9000 [2:56:20<4:49:01, 4.06s/it] {'lm_loss': '0.0001258', 'visual_loss': '2.827', 'seg_loss': '0.8359', 'dino_loss': '0.9382', 'depth_loss': '0.3212', 'vggt_mse_loss': '0.3187', 'vggt_cos_loss': '0.02552', 'pidinet_loss': '0.2374', 'siglip_loss': '0.494', 'epoch': '0.1703'} + 53%|███████████████▊ | 4733/9000 [2:56:23<4:49:01, 4.06s/it][Dataset] cur_step=4734 phase=B_anchor_generation[Dataset] cur_step=4734 phase=B_anchor_generation + +[Dataset] cur_step=4734 phase=B_anchor_generation +[Dataset] cur_step=4734 phase=B_anchor_generation +[Dataset] cur_step=4734 phase=B_anchor_generation + 53%|███████████████▊ | 4734/9000 [2:56:24<4:47:20, 4.04s/it][Dataset] cur_step=4734 phase=B_anchor_generation +[Dataset] cur_step=4734 phase=B_anchor_generation +[Dataset] cur_step=4734 phase=B_anchor_generation + {'loss': '2.853', 'grad_norm': '5.25', 'learning_rate': '2.492e-05', 'epoch': '0.1703'} + 53%|███████████████▊ | 4734/9000 [2:56:24<4:47:20, 4.04s/it] {'lm_loss': '0.0001149', 'visual_loss': '2.695', 'seg_loss': '0.6826', 'dino_loss': '0.8957', 'depth_loss': '0.3714', 'vggt_mse_loss': '0.3691', 'vggt_cos_loss': '0.02309', 'pidinet_loss': '0.2634', 'siglip_loss': '0.4818', 'epoch': '0.1703'} + 53%|███████████████▊ | 4734/9000 [2:56:28<4:47:20, 4.04s/it][Dataset] cur_step=4735 phase=B_anchor_generation +[Dataset] cur_step=4735 phase=B_anchor_generation +[Dataset] cur_step=4735 phase=B_anchor_generation +[Dataset] cur_step=4735 phase=B_anchor_generation +[Dataset] cur_step=4735 phase=B_anchor_generation + 53%|███████████████▊ | 4735/9000 [2:56:28<4:46:35, 4.03s/it][Dataset] cur_step=4735 phase=B_anchor_generation +[Dataset] cur_step=4735 phase=B_anchor_generation +[Dataset] cur_step=4735 phase=B_anchor_generation + {'loss': '2.674', 'grad_norm': '1.556', 'learning_rate': '2.491e-05', 'epoch': '0.1703'} + 53%|███████████████▊ | 4735/9000 [2:56:28<4:46:35, 4.03s/it] {'lm_loss': '0.0001255', 'visual_loss': '2.7', 'seg_loss': '0.6997', 'dino_loss': '0.8952', 'depth_loss': '0.2854', 'vggt_mse_loss': '0.2834', 'vggt_cos_loss': '0.0193', 'pidinet_loss': '0.2102', 'siglip_loss': '0.6098', 'epoch': '0.1703'} + 53%|███████████████▊ | 4735/9000 [2:56:31<4:46:35, 4.03s/it][Dataset] cur_step=4736 phase=B_anchor_generation +[Dataset] cur_step=4736 phase=B_anchor_generation +[Dataset] cur_step=4736 phase=B_anchor_generation +[Dataset] cur_step=4736 phase=B_anchor_generation[Dataset] cur_step=4736 phase=B_anchor_generation + +[Dataset] cur_step=4736 phase=B_anchor_generation +[Dataset] cur_step=4736 phase=B_anchor_generation +[Dataset] cur_step=4736 phase=B_anchor_generation 53%|███████████████▊ | 4736/9000 [2:56:32<4:43:21, 3.99s/it] + {'loss': '2.704', 'grad_norm': '2.113', 'learning_rate': '2.49e-05', 'epoch': '0.1704'} + 53%|███████████████▊ | 4736/9000 [2:56:32<4:43:21, 3.99s/it] {'lm_loss': '0.0001504', 'visual_loss': '2.821', 'seg_loss': '0.9013', 'dino_loss': '0.9261', 'depth_loss': '0.3406', 'vggt_mse_loss': '0.3383', 'vggt_cos_loss': '0.02362', 'pidinet_loss': '0.2697', 'siglip_loss': '0.3835', 'epoch': '0.1704'} + 53%|███████████████▊ | 4736/9000 [2:56:35<4:43:21, 3.99s/it][Dataset] cur_step=4737 phase=B_anchor_generation +[Dataset] cur_step=4737 phase=B_anchor_generation +[Dataset] cur_step=4737 phase=B_anchor_generation +[Dataset] cur_step=4737 phase=B_anchor_generation + 53%|███████████████▊ | 4737/9000 [2:56:35<4:35:15, 3.87s/it][Dataset] cur_step=4737 phase=B_anchor_generation[Dataset] cur_step=4737 phase=B_anchor_generation + +[Dataset] cur_step=4737 phase=B_anchor_generation +[Dataset] cur_step=4737 phase=B_anchor_generation + {'loss': '2.728', 'grad_norm': '1.25', 'learning_rate': '2.489e-05', 'epoch': '0.1704'} + 53%|███████████████▊ | 4737/9000 [2:56:35<4:35:15, 3.87s/it] {'lm_loss': '0.0001543', 'visual_loss': '2.866', 'seg_loss': '0.4481', 'dino_loss': '0.9211', 'depth_loss': '0.2202', 'vggt_mse_loss': '0.2186', 'vggt_cos_loss': '0.01592', 'pidinet_loss': '0.2816', 'siglip_loss': '0.9947', 'epoch': '0.1704'} + 53%|███████████████▊ | 4737/9000 [2:56:39<4:35:15, 3.87s/it][Dataset] cur_step=4738 phase=B_anchor_generation +[Dataset] cur_step=4738 phase=B_anchor_generation +[Dataset] cur_step=4738 phase=B_anchor_generation +[Dataset] cur_step=4738 phase=B_anchor_generation[Dataset] cur_step=4738 phase=B_anchor_generation[Dataset] cur_step=4738 phase=B_anchor_generation + + +[Dataset] cur_step=4738 phase=B_anchor_generation + 53%|███████████████▊ | 4738/9000 [2:56:40<4:43:30, 3.99s/it][Dataset] cur_step=4738 phase=B_anchor_generation + {'loss': '2.808', 'grad_norm': '1.273', 'learning_rate': '2.488e-05', 'epoch': '0.1705'} + 53%|███████████████▊ | 4738/9000 [2:56:40<4:43:30, 3.99s/it] {'lm_loss': '9.993e-05', 'visual_loss': '2.595', 'seg_loss': '0.5534', 'dino_loss': '0.9331', 'depth_loss': '0.353', 'vggt_mse_loss': '0.3507', 'vggt_cos_loss': '0.02209', 'pidinet_loss': '0.1887', 'siglip_loss': '0.5673', 'epoch': '0.1705'} + 53%|███████████████▊ | 4738/9000 [2:56:43<4:43:30, 3.99s/it][Dataset] cur_step=4739 phase=B_anchor_generation +[Dataset] cur_step=4739 phase=B_anchor_generation +[Dataset] cur_step=4739 phase=B_anchor_generation[Dataset] cur_step=4739 phase=B_anchor_generation + +[Dataset] cur_step=4739 phase=B_anchor_generation +[Dataset] cur_step=4739 phase=B_anchor_generation + 53%|███████████████▊ | 4739/9000 [2:56:44<4:46:11, 4.03s/it][Dataset] cur_step=4739 phase=B_anchor_generation +[Dataset] cur_step=4739 phase=B_anchor_generation + {'loss': '2.746', 'grad_norm': '1.38', 'learning_rate': '2.487e-05', 'epoch': '0.1705'} + 53%|███████████████▊ | 4739/9000 [2:56:44<4:46:11, 4.03s/it] {'lm_loss': '0.0003209', 'visual_loss': '2.976', 'seg_loss': '0.7851', 'dino_loss': '0.8814', 'depth_loss': '0.3319', 'vggt_mse_loss': '0.3299', 'vggt_cos_loss': '0.0192', 'pidinet_loss': '0.2765', 'siglip_loss': '0.7014', 'epoch': '0.1705'} + 53%|███████████████▊ | 4739/9000 [2:56:47<4:46:11, 4.03s/it][Dataset] cur_step=4740 phase=B_anchor_generation +[Dataset] cur_step=4740 phase=B_anchor_generation +[Dataset] cur_step=4740 phase=B_anchor_generation[Dataset] cur_step=4740 phase=B_anchor_generation +[Dataset] cur_step=4740 phase=B_anchor_generation + +[Dataset] cur_step=4740 phase=B_anchor_generation +[Dataset] cur_step=4740 phase=B_anchor_generation + 53%|███████████████▊ | 4740/9000 [2:56:48<4:46:39, 4.04s/it][Dataset] cur_step=4740 phase=B_anchor_generation + {'loss': '2.734', 'grad_norm': '1.626', 'learning_rate': '2.486e-05', 'epoch': '0.1705'} + 53%|███████████████▊ | 4740/9000 [2:56:48<4:46:39, 4.04s/it] {'lm_loss': '0.0001588', 'visual_loss': '2.617', 'seg_loss': '0.7393', 'dino_loss': '0.912', 'depth_loss': '0.2401', 'vggt_mse_loss': '0.2391', 'vggt_cos_loss': '0.009967', 'pidinet_loss': '0.2305', 'siglip_loss': '0.4948', 'epoch': '0.1705'} + 53%|███████████████▊ | 4740/9000 [2:56:51<4:46:39, 4.04s/it][Dataset] cur_step=4741 phase=B_anchor_generation +[Dataset] cur_step=4741 phase=B_anchor_generation +[Dataset] cur_step=4741 phase=B_anchor_generation +[Dataset] cur_step=4741 phase=B_anchor_generation + 53%|███████████████▊ | 4741/9000 [2:56:52<4:44:01, 4.00s/it][Dataset] cur_step=4741 phase=B_anchor_generation +[Dataset] cur_step=4741 phase=B_anchor_generation +[Dataset] cur_step=4741 phase=B_anchor_generation +[Dataset] cur_step=4741 phase=B_anchor_generation + {'loss': '2.708', 'grad_norm': '1.783', 'learning_rate': '2.485e-05', 'epoch': '0.1706'} + 53%|███████████████▊ | 4741/9000 [2:56:52<4:44:01, 4.00s/it] {'lm_loss': '0.0001892', 'visual_loss': '2.821', 'seg_loss': '0.8327', 'dino_loss': '0.8963', 'depth_loss': '0.339', 'vggt_mse_loss': '0.3365', 'vggt_cos_loss': '0.02492', 'pidinet_loss': '0.1975', 'siglip_loss': '0.5556', 'epoch': '0.1706'} + 53%|███████████████▊ | 4741/9000 [2:56:56<4:44:01, 4.00s/it][Dataset] cur_step=4742 phase=B_anchor_generation +[Dataset] cur_step=4742 phase=B_anchor_generation + 53%|███████████████▊ | 4742/9000 [2:56:56<4:46:52, 4.04s/it][Dataset] cur_step=4742 phase=B_anchor_generation +[Dataset] cur_step=4742 phase=B_anchor_generation +[Dataset] cur_step=4742 phase=B_anchor_generation +[Dataset] cur_step=4742 phase=B_anchor_generation +[Dataset] cur_step=4742 phase=B_anchor_generation +[Dataset] cur_step=4742 phase=B_anchor_generation + {'loss': '2.663', 'grad_norm': '1.434', 'learning_rate': '2.484e-05', 'epoch': '0.1706'} + 53%|███████████████▊ | 4742/9000 [2:56:56<4:46:52, 4.04s/it] {'lm_loss': '0.000212', 'visual_loss': '2.766', 'seg_loss': '0.6835', 'dino_loss': '0.9059', 'depth_loss': '0.2266', 'vggt_mse_loss': '0.2249', 'vggt_cos_loss': '0.01667', 'pidinet_loss': '0.2484', 'siglip_loss': '0.7021', 'epoch': '0.1706'} + 53%|███████████████▊ | 4742/9000 [2:56:59<4:46:52, 4.04s/it][Dataset] cur_step=4743 phase=B_anchor_generation +[Dataset] cur_step=4743 phase=B_anchor_generation +[Dataset] cur_step=4743 phase=B_anchor_generation[Dataset] cur_step=4743 phase=B_anchor_generation + +[Dataset] cur_step=4743 phase=B_anchor_generation +[Dataset] cur_step=4743 phase=B_anchor_generation +[Dataset] cur_step=4743 phase=B_anchor_generation + 53%|███████████████▊ | 4743/9000 [2:57:00<4:46:51, 4.04s/it][Dataset] cur_step=4743 phase=B_anchor_generation + {'loss': '2.682', 'grad_norm': '6.578', 'learning_rate': '2.483e-05', 'epoch': '0.1706'} + 53%|███████████████▊ | 4743/9000 [2:57:00<4:46:51, 4.04s/it] {'lm_loss': '7.246e-05', 'visual_loss': '3.55', 'seg_loss': '0.708', 'dino_loss': '0.9317', 'depth_loss': '0.9804', 'vggt_mse_loss': '0.9709', 'vggt_cos_loss': '0.0956', 'pidinet_loss': '0.2719', 'siglip_loss': '0.6579', 'epoch': '0.1706'} + 53%|███████████████▊ | 4743/9000 [2:57:03<4:46:51, 4.04s/it][Dataset] cur_step=4744 phase=B_anchor_generation +[Dataset] cur_step=4744 phase=B_anchor_generation +[Dataset] cur_step=4744 phase=B_anchor_generation[Dataset] cur_step=4744 phase=B_anchor_generation + +[Dataset] cur_step=4744 phase=B_anchor_generation[Dataset] cur_step=4744 phase=B_anchor_generation + + 53%|███████████████▊ | 4744/9000 [2:57:04<4:45:38, 4.03s/it][Dataset] cur_step=4744 phase=B_anchor_generation +[Dataset] cur_step=4744 phase=B_anchor_generation + {'loss': '2.737', 'grad_norm': '2.049', 'learning_rate': '2.483e-05', 'epoch': '0.1707'} + 53%|███████████████▊ | 4744/9000 [2:57:04<4:45:38, 4.03s/it] {'lm_loss': '0.0003527', 'visual_loss': '2.622', 'seg_loss': '0.7355', 'dino_loss': '0.8956', 'depth_loss': '0.229', 'vggt_mse_loss': '0.2271', 'vggt_cos_loss': '0.01898', 'pidinet_loss': '0.2662', 'siglip_loss': '0.4955', 'epoch': '0.1707'} + 53%|███████████████▊ | 4744/9000 [2:57:07<4:45:38, 4.03s/it][Dataset] cur_step=4745 phase=B_anchor_generation[Dataset] cur_step=4745 phase=B_anchor_generation + +[Dataset] cur_step=4745 phase=B_anchor_generation +[Dataset] cur_step=4745 phase=B_anchor_generation[Dataset] cur_step=4745 phase=B_anchor_generation + +[Dataset] cur_step=4745 phase=B_anchor_generation +[Dataset] cur_step=4745 phase=B_anchor_generation + 53%|███████████████▊ | 4745/9000 [2:57:08<4:36:42, 3.90s/it][Dataset] cur_step=4745 phase=B_anchor_generation + {'loss': '2.724', 'grad_norm': '4.29', 'learning_rate': '2.482e-05', 'epoch': '0.1707'} + 53%|███████████████▊ | 4745/9000 [2:57:08<4:36:42, 3.90s/it] {'lm_loss': '0.0001109', 'visual_loss': '2.927', 'seg_loss': '0.7356', 'dino_loss': '0.9262', 'depth_loss': '0.2093', 'vggt_mse_loss': '0.2078', 'vggt_cos_loss': '0.01486', 'pidinet_loss': '0.3117', 'siglip_loss': '0.7442', 'epoch': '0.1707'} + 53%|███████████████▊ | 4745/9000 [2:57:10<4:36:42, 3.90s/it][Dataset] cur_step=4746 phase=B_anchor_generation +[Dataset] cur_step=4746 phase=B_anchor_generation +[Dataset] cur_step=4746 phase=B_anchor_generation +[Dataset] cur_step=4746 phase=B_anchor_generation + 53%|███████████████▊ | 4746/9000 [2:57:11<4:33:00, 3.85s/it][Dataset] cur_step=4746 phase=B_anchor_generation +[Dataset] cur_step=4746 phase=B_anchor_generation +[Dataset] cur_step=4746 phase=B_anchor_generation +[Dataset] cur_step=4746 phase=B_anchor_generation + {'loss': '2.742', 'grad_norm': '2.445', 'learning_rate': '2.481e-05', 'epoch': '0.1707'} + 53%|███████████████▊ | 4746/9000 [2:57:11<4:33:00, 3.85s/it] {'lm_loss': '0.0002211', 'visual_loss': '3.152', 'seg_loss': '0.7464', 'dino_loss': '0.89', 'depth_loss': '0.3598', 'vggt_mse_loss': '0.3571', 'vggt_cos_loss': '0.02756', 'pidinet_loss': '0.2898', 'siglip_loss': '0.8664', 'epoch': '0.1707'} + 53%|███████████████▊ | 4746/9000 [2:57:17<4:33:00, 3.85s/it][Dataset] cur_step=4747 phase=B_anchor_generation + 53%|███████████████▊ | 4747/9000 [2:57:17<5:19:06, 4.50s/it][Dataset] cur_step=4747 phase=B_anchor_generation +[Dataset] cur_step=4747 phase=B_anchor_generation +[Dataset] cur_step=4747 phase=B_anchor_generation +[Dataset] cur_step=4747 phase=B_anchor_generation +[Dataset] cur_step=4747 phase=B_anchor_generation +[Dataset] cur_step=4747 phase=B_anchor_generation +[Dataset] cur_step=4747 phase=B_anchor_generation + {'loss': '2.848', 'grad_norm': '1.689', 'learning_rate': '2.48e-05', 'epoch': '0.1708'} + 53%|███████████████▊ | 4747/9000 [2:57:17<5:19:06, 4.50s/it] {'lm_loss': '0.00013', 'visual_loss': '2.74', 'seg_loss': '0.7783', 'dino_loss': '0.9039', 'depth_loss': '0.3813', 'vggt_mse_loss': '0.3788', 'vggt_cos_loss': '0.02495', 'pidinet_loss': '0.1724', 'siglip_loss': '0.5038', 'epoch': '0.1708'} + 53%|███████████████▊ | 4747/9000 [2:57:20<5:19:06, 4.50s/it][Dataset] cur_step=4748 phase=B_anchor_generation +[Dataset] cur_step=4748 phase=B_anchor_generation +[Dataset] cur_step=4748 phase=B_anchor_generation +[Dataset] cur_step=4748 phase=B_anchor_generation[Dataset] cur_step=4748 phase=B_anchor_generation[Dataset] cur_step=4748 phase=B_anchor_generation + + + 53%|███████████████▊ | 4748/9000 [2:57:21<5:04:20, 4.29s/it][Dataset] cur_step=4748 phase=B_anchor_generation +[Dataset] cur_step=4748 phase=B_anchor_generation + {'loss': '2.764', 'grad_norm': '2.699', 'learning_rate': '2.479e-05', 'epoch': '0.1708'} + 53%|███████████████▊ | 4748/9000 [2:57:21<5:04:20, 4.29s/it] {'lm_loss': '7.213e-05', 'visual_loss': '2.765', 'seg_loss': '0.7632', 'dino_loss': '0.9193', 'depth_loss': '0.2979', 'vggt_mse_loss': '0.2961', 'vggt_cos_loss': '0.01826', 'pidinet_loss': '0.21', 'siglip_loss': '0.575', 'epoch': '0.1708'} + 53%|███████████████▊ | 4748/9000 [2:57:24<5:04:20, 4.29s/it][Dataset] cur_step=4749 phase=B_anchor_generation +[Dataset] cur_step=4749 phase=B_anchor_generation +[Dataset] cur_step=4749 phase=B_anchor_generation +[Dataset] cur_step=4749 phase=B_anchor_generation[Dataset] cur_step=4749 phase=B_anchor_generation + +[Dataset] cur_step=4749 phase=B_anchor_generation + 53%|███████████████▊ | 4749/9000 [2:57:25<5:01:31, 4.26s/it][Dataset] cur_step=4749 phase=B_anchor_generation +[Dataset] cur_step=4749 phase=B_anchor_generation + {'loss': '2.657', 'grad_norm': '1.706', 'learning_rate': '2.478e-05', 'epoch': '0.1708'} + 53%|███████████████▊ | 4749/9000 [2:57:25<5:01:31, 4.26s/it] {'lm_loss': '0.0001477', 'visual_loss': '2.632', 'seg_loss': '0.6443', 'dino_loss': '0.935', 'depth_loss': '0.2781', 'vggt_mse_loss': '0.276', 'vggt_cos_loss': '0.02091', 'pidinet_loss': '0.2388', 'siglip_loss': '0.5356', 'epoch': '0.1708'} + 53%|███████████████▊ | 4749/9000 [2:57:29<5:01:31, 4.26s/it][Dataset] cur_step=4750 phase=B_anchor_generation[Dataset] cur_step=4750 phase=B_anchor_generation + +[Dataset] cur_step=4750 phase=B_anchor_generation +[Dataset] cur_step=4750 phase=B_anchor_generation[Dataset] cur_step=4750 phase=B_anchor_generation + +[Dataset] cur_step=4750 phase=B_anchor_generation[Dataset] cur_step=4750 phase=B_anchor_generation + + 53%|███████████████▊ | 4750/9000 [2:57:29<4:58:20, 4.21s/it][Dataset] cur_step=4750 phase=B_anchor_generation + {'loss': '2.727', 'grad_norm': '1.456', 'learning_rate': '2.477e-05', 'epoch': '0.1709'} + 53%|███████████████▊ | 4750/9000 [2:57:29<4:58:20, 4.21s/it] {'lm_loss': '0.0002574', 'visual_loss': '2.397', 'seg_loss': '0.6779', 'dino_loss': '0.8792', 'depth_loss': '0.2262', 'vggt_mse_loss': '0.225', 'vggt_cos_loss': '0.01262', 'pidinet_loss': '0.2104', 'siglip_loss': '0.403', 'epoch': '0.1709'} + 53%|███████████████▊ | 4750/9000 [2:57:33<4:58:20, 4.21s/it][Dataset] cur_step=4751 phase=B_anchor_generation +[Dataset] cur_step=4751 phase=B_anchor_generation +[Dataset] cur_step=4751 phase=B_anchor_generation +[Dataset] cur_step=4751 phase=B_anchor_generation +[Dataset] cur_step=4751 phase=B_anchor_generation +[Dataset] cur_step=4751 phase=B_anchor_generation 53%|███████████████▊ | 4751/9000 [2:57:33<4:52:04, 4.12s/it] +[Dataset] cur_step=4751 phase=B_anchor_generation +[Dataset] cur_step=4751 phase=B_anchor_generation + {'loss': '2.688', 'grad_norm': '1.78', 'learning_rate': '2.476e-05', 'epoch': '0.1709'} + 53%|███████████████▊ | 4751/9000 [2:57:33<4:52:04, 4.12s/it] {'lm_loss': '0.0001146', 'visual_loss': '2.716', 'seg_loss': '0.693', 'dino_loss': '0.9177', 'depth_loss': '0.2928', 'vggt_mse_loss': '0.2912', 'vggt_cos_loss': '0.01587', 'pidinet_loss': '0.2587', 'siglip_loss': '0.5541', 'epoch': '0.1709'} + 53%|███████████████▊ | 4751/9000 [2:57:37<4:52:04, 4.12s/it][Dataset] cur_step=4752 phase=B_anchor_generation +[Dataset] cur_step=4752 phase=B_anchor_generation +[Dataset] cur_step=4752 phase=B_anchor_generation +[Dataset] cur_step=4752 phase=B_anchor_generation + 53%|███████████████▊ | 4752/9000 [2:57:37<4:43:32, 4.00s/it][Dataset] cur_step=4752 phase=B_anchor_generation +[Dataset] cur_step=4752 phase=B_anchor_generation +[Dataset] cur_step=4752 phase=B_anchor_generation +[Dataset] cur_step=4752 phase=B_anchor_generation + {'loss': '2.749', 'grad_norm': '1.29', 'learning_rate': '2.475e-05', 'epoch': '0.171'} + 53%|███████████████▊ | 4752/9000 [2:57:37<4:43:32, 4.00s/it] {'lm_loss': '0.0001004', 'visual_loss': '2.521', 'seg_loss': '0.6974', 'dino_loss': '0.9271', 'depth_loss': '0.2306', 'vggt_mse_loss': '0.2287', 'vggt_cos_loss': '0.0185', 'pidinet_loss': '0.2027', 'siglip_loss': '0.4636', 'epoch': '0.171'} + 53%|███████████████▊ | 4752/9000 [2:57:41<4:43:32, 4.00s/it][Dataset] cur_step=4753 phase=B_anchor_generation +[Dataset] cur_step=4753 phase=B_anchor_generation[Dataset] cur_step=4753 phase=B_anchor_generation + +[Dataset] cur_step=4753 phase=B_anchor_generation[Dataset] cur_step=4753 phase=B_anchor_generation[Dataset] cur_step=4753 phase=B_anchor_generation + + +[Dataset] cur_step=4753 phase=B_anchor_generation + 53%|███████████████▊ | 4753/9000 [2:57:41<4:46:12, 4.04s/it][Dataset] cur_step=4753 phase=B_anchor_generation + {'loss': '2.691', 'grad_norm': '1.861', 'learning_rate': '2.474e-05', 'epoch': '0.171'} + 53%|███████████████▊ | 4753/9000 [2:57:41<4:46:12, 4.04s/it] {'lm_loss': '0.0001269', 'visual_loss': '3.072', 'seg_loss': '0.7161', 'dino_loss': '0.9166', 'depth_loss': '0.4043', 'vggt_mse_loss': '0.4022', 'vggt_cos_loss': '0.02165', 'pidinet_loss': '0.2727', 'siglip_loss': '0.7624', 'epoch': '0.171'} + 53%|███████████████▊ | 4753/9000 [2:57:45<4:46:12, 4.04s/it][Dataset] cur_step=4754 phase=B_anchor_generation +[Dataset] cur_step=4754 phase=B_anchor_generation +[Dataset] cur_step=4754 phase=B_anchor_generation +[Dataset] cur_step=4754 phase=B_anchor_generation[Dataset] cur_step=4754 phase=B_anchor_generation + + 53%|███████████████▊ | 4754/9000 [2:57:45<4:48:53, 4.08s/it][Dataset] cur_step=4754 phase=B_anchor_generation +[Dataset] cur_step=4754 phase=B_anchor_generation[Dataset] cur_step=4754 phase=B_anchor_generation + + {'loss': '2.699', 'grad_norm': '2.306', 'learning_rate': '2.473e-05', 'epoch': '0.171'} + 53%|███████████████▊ | 4754/9000 [2:57:45<4:48:53, 4.08s/it] {'lm_loss': '0.0001714', 'visual_loss': '2.728', 'seg_loss': '0.6936', 'dino_loss': '0.8626', 'depth_loss': '0.2283', 'vggt_mse_loss': '0.2269', 'vggt_cos_loss': '0.01366', 'pidinet_loss': '0.2561', 'siglip_loss': '0.6873', 'epoch': '0.171'} + 53%|███████████████▊ | 4754/9000 [2:57:49<4:48:53, 4.08s/it][Dataset] cur_step=4755 phase=B_anchor_generation +[Dataset] cur_step=4755 phase=B_anchor_generation[Dataset] cur_step=4755 phase=B_anchor_generation + +[Dataset] cur_step=4755 phase=B_anchor_generation +[Dataset] cur_step=4755 phase=B_anchor_generation +[Dataset] cur_step=4755 phase=B_anchor_generation +[Dataset] cur_step=4755 phase=B_anchor_generation + 53%|███████████████▊ | 4755/9000 [2:57:49<4:40:41, 3.97s/it][Dataset] cur_step=4755 phase=B_anchor_generation + {'loss': '2.766', 'grad_norm': '4.857', 'learning_rate': '2.472e-05', 'epoch': '0.1711'} + 53%|███████████████▊ | 4755/9000 [2:57:49<4:40:41, 3.97s/it] {'lm_loss': '0.0001449', 'visual_loss': '2.688', 'seg_loss': '0.7793', 'dino_loss': '0.9328', 'depth_loss': '0.2453', 'vggt_mse_loss': '0.2434', 'vggt_cos_loss': '0.01964', 'pidinet_loss': '0.2231', 'siglip_loss': '0.5076', 'epoch': '0.1711'} + 53%|███████████████▊ | 4755/9000 [2:57:52<4:40:41, 3.97s/it][Dataset] cur_step=4756 phase=B_anchor_generation +[Dataset] cur_step=4756 phase=B_anchor_generation[Dataset] cur_step=4756 phase=B_anchor_generation + +[Dataset] cur_step=4756 phase=B_anchor_generation +[Dataset] cur_step=4756 phase=B_anchor_generation +[Dataset] cur_step=4756 phase=B_anchor_generation +[Dataset] cur_step=4756 phase=B_anchor_generation + 53%|███████████████▊ | 4756/9000 [2:57:53<4:40:11, 3.96s/it][Dataset] cur_step=4756 phase=B_anchor_generation + {'loss': '2.761', 'grad_norm': '1.336', 'learning_rate': '2.472e-05', 'epoch': '0.1711'} + 53%|███████████████▊ | 4756/9000 [2:57:53<4:40:11, 3.96s/it] {'lm_loss': '0.0001078', 'visual_loss': '2.913', 'seg_loss': '0.6687', 'dino_loss': '0.9292', 'depth_loss': '0.327', 'vggt_mse_loss': '0.3242', 'vggt_cos_loss': '0.02817', 'pidinet_loss': '0.2014', 'siglip_loss': '0.7868', 'epoch': '0.1711'} + 53%|███████████████▊ | 4756/9000 [2:57:56<4:40:11, 3.96s/it][Dataset] cur_step=4757 phase=B_anchor_generation +[Dataset] cur_step=4757 phase=B_anchor_generation +[Dataset] cur_step=4757 phase=B_anchor_generation +[Dataset] cur_step=4757 phase=B_anchor_generation +[Dataset] cur_step=4757 phase=B_anchor_generation +[Dataset] cur_step=4757 phase=B_anchor_generation 53%|███████████████▊ | 4757/9000 [2:57:57<4:40:00, 3.96s/it][Dataset] cur_step=4757 phase=B_anchor_generation + +[Dataset] cur_step=4757 phase=B_anchor_generation + {'loss': '2.757', 'grad_norm': '5.364', 'learning_rate': '2.471e-05', 'epoch': '0.1711'} + 53%|███████████████▊ | 4757/9000 [2:57:57<4:40:00, 3.96s/it] {'lm_loss': '0.0005129', 'visual_loss': '2.799', 'seg_loss': '0.7396', 'dino_loss': '0.8762', 'depth_loss': '0.3494', 'vggt_mse_loss': '0.3467', 'vggt_cos_loss': '0.0269', 'pidinet_loss': '0.2891', 'siglip_loss': '0.5446', 'epoch': '0.1711'} + 53%|███████████████▊ | 4757/9000 [2:58:00<4:40:00, 3.96s/it][Dataset] cur_step=4758 phase=B_anchor_generation +[Dataset] cur_step=4758 phase=B_anchor_generation[Dataset] cur_step=4758 phase=B_anchor_generation + +[Dataset] cur_step=4758 phase=B_anchor_generation +[Dataset] cur_step=4758 phase=B_anchor_generation +[Dataset] cur_step=4758 phase=B_anchor_generation +[Dataset] cur_step=4758 phase=B_anchor_generation + 53%|███████████████▊ | 4758/9000 [2:58:01<4:40:48, 3.97s/it][Dataset] cur_step=4758 phase=B_anchor_generation + {'loss': '2.683', 'grad_norm': '2.054', 'learning_rate': '2.47e-05', 'epoch': '0.1712'} + 53%|███████████████▊ | 4758/9000 [2:58:01<4:40:48, 3.97s/it] {'lm_loss': '0.000225', 'visual_loss': '2.786', 'seg_loss': '0.6483', 'dino_loss': '0.9522', 'depth_loss': '0.3083', 'vggt_mse_loss': '0.3057', 'vggt_cos_loss': '0.02643', 'pidinet_loss': '0.1835', 'siglip_loss': '0.6938', 'epoch': '0.1712'} + 53%|███████████████▊ | 4758/9000 [2:58:04<4:40:48, 3.97s/it][Dataset] cur_step=4759 phase=B_anchor_generation +[Dataset] cur_step=4759 phase=B_anchor_generation +[Dataset] cur_step=4759 phase=B_anchor_generation +[Dataset] cur_step=4759 phase=B_anchor_generation +[Dataset] cur_step=4759 phase=B_anchor_generation +[Dataset] cur_step=4759 phase=B_anchor_generation[Dataset] cur_step=4759 phase=B_anchor_generation + + 53%|███████████████▊ | 4759/9000 [2:58:05<4:39:45, 3.96s/it][Dataset] cur_step=4759 phase=B_anchor_generation + {'loss': '2.78', 'grad_norm': '1.94', 'learning_rate': '2.469e-05', 'epoch': '0.1712'} + 53%|███████████████▊ | 4759/9000 [2:58:05<4:39:45, 3.96s/it] {'lm_loss': '0.0002064', 'visual_loss': '2.593', 'seg_loss': '0.5715', 'dino_loss': '0.8933', 'depth_loss': '0.1944', 'vggt_mse_loss': '0.1929', 'vggt_cos_loss': '0.01524', 'pidinet_loss': '0.2387', 'siglip_loss': '0.6949', 'epoch': '0.1712'} + 53%|███████████████▊ | 4759/9000 [2:58:08<4:39:45, 3.96s/it][Dataset] cur_step=4760 phase=B_anchor_generation +[Dataset] cur_step=4760 phase=B_anchor_generation +[Dataset] cur_step=4760 phase=B_anchor_generation +[Dataset] cur_step=4760 phase=B_anchor_generation +[Dataset] cur_step=4760 phase=B_anchor_generation +[Dataset] cur_step=4760 phase=B_anchor_generation +[Dataset] cur_step=4760 phase=B_anchor_generation +[Dataset] cur_step=4760 phase=B_anchor_generation + 53%|███████████████▊ | 4760/9000 [2:58:09<4:40:11, 3.97s/it] {'loss': '2.715', 'grad_norm': '1.573', 'learning_rate': '2.468e-05', 'epoch': '0.1712'} + 53%|███████████████▊ | 4760/9000 [2:58:09<4:40:11, 3.97s/it] {'lm_loss': '9.074e-05', 'visual_loss': '2.764', 'seg_loss': '0.7389', 'dino_loss': '0.9376', 'depth_loss': '0.2707', 'vggt_mse_loss': '0.2687', 'vggt_cos_loss': '0.01974', 'pidinet_loss': '0.1957', 'siglip_loss': '0.6209', 'epoch': '0.1712'} + 53%|███████████████▊ | 4760/9000 [2:58:12<4:40:11, 3.97s/it][Dataset] cur_step=4761 phase=B_anchor_generation[Dataset] cur_step=4761 phase=B_anchor_generation + +[Dataset] cur_step=4761 phase=B_anchor_generation +[Dataset] cur_step=4761 phase=B_anchor_generation[Dataset] cur_step=4761 phase=B_anchor_generation + +[Dataset] cur_step=4761 phase=B_anchor_generation +[Dataset] cur_step=4761 phase=B_anchor_generation + 53%|███████████████▊ | 4761/9000 [2:58:13<4:33:59, 3.88s/it][Dataset] cur_step=4761 phase=B_anchor_generation + {'loss': '2.79', 'grad_norm': '2.272', 'learning_rate': '2.467e-05', 'epoch': '0.1713'} + 53%|███████████████▊ | 4761/9000 [2:58:13<4:33:59, 3.88s/it] {'lm_loss': '0.0001423', 'visual_loss': '2.641', 'seg_loss': '0.7083', 'dino_loss': '0.9158', 'depth_loss': '0.2436', 'vggt_mse_loss': '0.242', 'vggt_cos_loss': '0.01514', 'pidinet_loss': '0.2206', 'siglip_loss': '0.5525', 'epoch': '0.1713'} + 53%|███████████████▊ | 4761/9000 [2:58:16<4:33:59, 3.88s/it][Dataset] cur_step=4762 phase=B_anchor_generation +[Dataset] cur_step=4762 phase=B_anchor_generation[Dataset] cur_step=4762 phase=B_anchor_generation + +[Dataset] cur_step=4762 phase=B_anchor_generation +[Dataset] cur_step=4762 phase=B_anchor_generation 53%|███████████████▊ | 4762/9000 [2:58:16<4:31:08, 3.84s/it] +[Dataset] cur_step=4762 phase=B_anchor_generation +[Dataset] cur_step=4762 phase=B_anchor_generation +[Dataset] cur_step=4762 phase=B_anchor_generation + {'loss': '2.596', 'grad_norm': '1.714', 'learning_rate': '2.466e-05', 'epoch': '0.1713'} + 53%|███████████████▊ | 4762/9000 [2:58:16<4:31:08, 3.84s/it] {'lm_loss': '0.0001418', 'visual_loss': '3.23', 'seg_loss': '0.7562', 'dino_loss': '0.9554', 'depth_loss': '0.3608', 'vggt_mse_loss': '0.3579', 'vggt_cos_loss': '0.02839', 'pidinet_loss': '0.305', 'siglip_loss': '0.8522', 'epoch': '0.1713'} + 53%|███████████████▊ | 4762/9000 [2:58:20<4:31:08, 3.84s/it][Dataset] cur_step=4763 phase=B_anchor_generation +[Dataset] cur_step=4763 phase=B_anchor_generation[Dataset] cur_step=4763 phase=B_anchor_generation[Dataset] cur_step=4763 phase=B_anchor_generation + +[Dataset] cur_step=4763 phase=B_anchor_generation +[Dataset] cur_step=4763 phase=B_anchor_generation + + 53%|███████████████▉ | 4763/9000 [2:58:20<4:34:01, 3.88s/it][Dataset] cur_step=4763 phase=B_anchor_generation +[Dataset] cur_step=4763 phase=B_anchor_generation + {'loss': '2.834', 'grad_norm': '2.796', 'learning_rate': '2.465e-05', 'epoch': '0.1713'} + 53%|███████████████▉ | 4763/9000 [2:58:20<4:34:01, 3.88s/it] {'lm_loss': '0.0001623', 'visual_loss': '2.368', 'seg_loss': '0.701', 'dino_loss': '0.8763', 'depth_loss': '0.228', 'vggt_mse_loss': '0.227', 'vggt_cos_loss': '0.01033', 'pidinet_loss': '0.1624', 'siglip_loss': '0.3999', 'epoch': '0.1713'} + 53%|███████████████▉ | 4763/9000 [2:58:24<4:34:01, 3.88s/it][Dataset] cur_step=4764 phase=B_anchor_generation +[Dataset] cur_step=4764 phase=B_anchor_generation +[Dataset] cur_step=4764 phase=B_anchor_generation +[Dataset] cur_step=4764 phase=B_anchor_generation +[Dataset] cur_step=4764 phase=B_anchor_generation + 53%|███████████████▉ | 4764/9000 [2:58:24<4:37:42, 3.93s/it][Dataset] cur_step=4764 phase=B_anchor_generation +[Dataset] cur_step=4764 phase=B_anchor_generation +[Dataset] cur_step=4764 phase=B_anchor_generation + {'loss': '2.702', 'grad_norm': '1.284', 'learning_rate': '2.464e-05', 'epoch': '0.1714'} + 53%|███████████████▉ | 4764/9000 [2:58:24<4:37:42, 3.93s/it] {'lm_loss': '0.0001675', 'visual_loss': '2.86', 'seg_loss': '0.7315', 'dino_loss': '0.9284', 'depth_loss': '0.312', 'vggt_mse_loss': '0.3102', 'vggt_cos_loss': '0.01733', 'pidinet_loss': '0.3138', 'siglip_loss': '0.5744', 'epoch': '0.1714'} + 53%|███████████████▉ | 4764/9000 [2:58:27<4:37:42, 3.93s/it][Dataset] cur_step=4765 phase=B_anchor_generation +[Dataset] cur_step=4765 phase=B_anchor_generation +[Dataset] cur_step=4765 phase=B_anchor_generation +[Dataset] cur_step=4765 phase=B_anchor_generation +[Dataset] cur_step=4765 phase=B_anchor_generation +[Dataset] cur_step=4765 phase=B_anchor_generation +[Dataset] cur_step=4765 phase=B_anchor_generation + 53%|███████████████▉ | 4765/9000 [2:58:28<4:38:26, 3.94s/it][Dataset] cur_step=4765 phase=B_anchor_generation + {'loss': '2.754', 'grad_norm': '1.618', 'learning_rate': '2.463e-05', 'epoch': '0.1714'} + 53%|███████████████▉ | 4765/9000 [2:58:28<4:38:26, 3.94s/it] {'lm_loss': '8.421e-05', 'visual_loss': '3.119', 'seg_loss': '0.7882', 'dino_loss': '0.9336', 'depth_loss': '0.3461', 'vggt_mse_loss': '0.3438', 'vggt_cos_loss': '0.02357', 'pidinet_loss': '0.2628', 'siglip_loss': '0.7884', 'epoch': '0.1714'} + 53%|███████████████▉ | 4765/9000 [2:58:31<4:38:26, 3.94s/it][Dataset] cur_step=4766 phase=B_anchor_generation +[Dataset] cur_step=4766 phase=B_anchor_generation +[Dataset] cur_step=4766 phase=B_anchor_generation +[Dataset] cur_step=4766 phase=B_anchor_generation +[Dataset] cur_step=4766 phase=B_anchor_generation +[Dataset] cur_step=4766 phase=B_anchor_generation +[Dataset] cur_step=4766 phase=B_anchor_generation + 53%|███████████████▉ | 4766/9000 [2:58:32<4:33:43, 3.88s/it][Dataset] cur_step=4766 phase=B_anchor_generation + {'loss': '2.669', 'grad_norm': '1.271', 'learning_rate': '2.462e-05', 'epoch': '0.1715'} + 53%|███████████████▉ | 4766/9000 [2:58:32<4:33:43, 3.88s/it] {'lm_loss': '0.0001033', 'visual_loss': '2.724', 'seg_loss': '0.7006', 'dino_loss': '0.9314', 'depth_loss': '0.3393', 'vggt_mse_loss': '0.3371', 'vggt_cos_loss': '0.02162', 'pidinet_loss': '0.221', 'siglip_loss': '0.5314', 'epoch': '0.1715'} + 53%|███████████████▉ | 4766/9000 [2:58:35<4:33:43, 3.88s/it][Dataset] cur_step=4767 phase=B_anchor_generation +[Dataset] cur_step=4767 phase=B_anchor_generation[Dataset] cur_step=4767 phase=B_anchor_generation + +[Dataset] cur_step=4767 phase=B_anchor_generation +[Dataset] cur_step=4767 phase=B_anchor_generation[Dataset] cur_step=4767 phase=B_anchor_generation + + 53%|███████████████▉ | 4767/9000 [2:58:38<5:17:55, 4.51s/it][Dataset] cur_step=4767 phase=B_anchor_generation +[Dataset] cur_step=4767 phase=B_anchor_generation + {'loss': '2.696', 'grad_norm': '3.827', 'learning_rate': '2.461e-05', 'epoch': '0.1715'} + 53%|███████████████▉ | 4767/9000 [2:58:38<5:17:55, 4.51s/it] {'lm_loss': '0.0004177', 'visual_loss': '2.632', 'seg_loss': '0.8072', 'dino_loss': '0.8736', 'depth_loss': '0.2766', 'vggt_mse_loss': '0.2752', 'vggt_cos_loss': '0.01417', 'pidinet_loss': '0.2225', 'siglip_loss': '0.4517', 'epoch': '0.1715'} + 53%|███████████████▉ | 4767/9000 [2:58:41<5:17:55, 4.51s/it][Dataset] cur_step=4768 phase=B_anchor_generation +[Dataset] cur_step=4768 phase=B_anchor_generation[Dataset] cur_step=4768 phase=B_anchor_generation + +[Dataset] cur_step=4768 phase=B_anchor_generation +[Dataset] cur_step=4768 phase=B_anchor_generation[Dataset] cur_step=4768 phase=B_anchor_generation +[Dataset] cur_step=4768 phase=B_anchor_generation + + 53%|███████████████▉ | 4768/9000 [2:58:42<5:03:38, 4.30s/it][Dataset] cur_step=4768 phase=B_anchor_generation + {'loss': '2.801', 'grad_norm': '1.529', 'learning_rate': '2.461e-05', 'epoch': '0.1715'} + 53%|███████████████▉ | 4768/9000 [2:58:42<5:03:38, 4.30s/it] {'lm_loss': '0.0001622', 'visual_loss': '2.499', 'seg_loss': '0.6888', 'dino_loss': '0.9129', 'depth_loss': '0.2237', 'vggt_mse_loss': '0.2221', 'vggt_cos_loss': '0.01538', 'pidinet_loss': '0.2041', 'siglip_loss': '0.4695', 'epoch': '0.1715'} + 53%|███████████████▉ | 4768/9000 [2:58:45<5:03:38, 4.30s/it][Dataset] cur_step=4769 phase=B_anchor_generation +[Dataset] cur_step=4769 phase=B_anchor_generation +[Dataset] cur_step=4769 phase=B_anchor_generation +[Dataset] cur_step=4769 phase=B_anchor_generation[Dataset] cur_step=4769 phase=B_anchor_generation + + 53%|███████████████▉ | 4769/9000 [2:58:46<4:53:56, 4.17s/it][Dataset] cur_step=4769 phase=B_anchor_generation +[Dataset] cur_step=4769 phase=B_anchor_generation +[Dataset] cur_step=4769 phase=B_anchor_generation + {'loss': '2.695', 'grad_norm': '1.134', 'learning_rate': '2.46e-05', 'epoch': '0.1716'} + 53%|███████████████▉ | 4769/9000 [2:58:46<4:53:56, 4.17s/it] {'lm_loss': '0.0001165', 'visual_loss': '2.482', 'seg_loss': '0.7124', 'dino_loss': '0.895', 'depth_loss': '0.2811', 'vggt_mse_loss': '0.2793', 'vggt_cos_loss': '0.01841', 'pidinet_loss': '0.1775', 'siglip_loss': '0.4163', 'epoch': '0.1716'} + 53%|███████████████▉ | 4769/9000 [2:58:49<4:53:56, 4.17s/it][Dataset] cur_step=4770 phase=B_anchor_generation +[Dataset] cur_step=4770 phase=B_anchor_generation +[Dataset] cur_step=4770 phase=B_anchor_generation[Dataset] cur_step=4770 phase=B_anchor_generation + +[Dataset] cur_step=4770 phase=B_anchor_generation 53%|███████████████▉ | 4770/9000 [2:58:50<4:50:03, 4.11s/it] +[Dataset] cur_step=4770 phase=B_anchor_generation +[Dataset] cur_step=4770 phase=B_anchor_generation +[Dataset] cur_step=4770 phase=B_anchor_generation + {'loss': '2.709', 'grad_norm': '1.708', 'learning_rate': '2.459e-05', 'epoch': '0.1716'} + 53%|███████████████▉ | 4770/9000 [2:58:50<4:50:03, 4.11s/it] {'lm_loss': '0.0001692', 'visual_loss': '2.729', 'seg_loss': '0.6471', 'dino_loss': '0.9014', 'depth_loss': '0.3154', 'vggt_mse_loss': '0.3127', 'vggt_cos_loss': '0.02689', 'pidinet_loss': '0.2522', 'siglip_loss': '0.6126', 'epoch': '0.1716'} + 53%|███████████████▉ | 4770/9000 [2:58:53<4:50:03, 4.11s/it][Dataset] cur_step=4771 phase=B_anchor_generation[Dataset] cur_step=4771 phase=B_anchor_generation[Dataset] cur_step=4771 phase=B_anchor_generation + + +[Dataset] cur_step=4771 phase=B_anchor_generation +[Dataset] cur_step=4771 phase=B_anchor_generation +[Dataset] cur_step=4771 phase=B_anchor_generation +[Dataset] cur_step=4771 phase=B_anchor_generation 53%|███████████████▉ | 4771/9000 [2:58:54<4:49:08, 4.10s/it] +[Dataset] cur_step=4771 phase=B_anchor_generation + {'loss': '2.681', 'grad_norm': '1.695', 'learning_rate': '2.458e-05', 'epoch': '0.1716'} + 53%|███████████████▉ | 4771/9000 [2:58:54<4:49:08, 4.10s/it] {'lm_loss': '0.0002251', 'visual_loss': '2.621', 'seg_loss': '0.7226', 'dino_loss': '0.8891', 'depth_loss': '0.2351', 'vggt_mse_loss': '0.2337', 'vggt_cos_loss': '0.01372', 'pidinet_loss': '0.2075', 'siglip_loss': '0.5664', 'epoch': '0.1716'} + 53%|███████████████▉ | 4771/9000 [2:58:57<4:49:08, 4.10s/it][Dataset] cur_step=4772 phase=B_anchor_generation[Dataset] cur_step=4772 phase=B_anchor_generation + +[Dataset] cur_step=4772 phase=B_anchor_generation +[Dataset] cur_step=4772 phase=B_anchor_generation +[Dataset] cur_step=4772 phase=B_anchor_generation[Dataset] cur_step=4772 phase=B_anchor_generation + +[Dataset] cur_step=4772 phase=B_anchor_generation + 53%|███████████████▉ | 4772/9000 [2:58:58<4:49:58, 4.12s/it][Dataset] cur_step=4772 phase=B_anchor_generation + {'loss': '2.844', 'grad_norm': '1.686', 'learning_rate': '2.457e-05', 'epoch': '0.1717'} + 53%|███████████████▉ | 4772/9000 [2:58:58<4:49:58, 4.12s/it] {'lm_loss': '0.0001657', 'visual_loss': '2.66', 'seg_loss': '0.7476', 'dino_loss': '0.9065', 'depth_loss': '0.2852', 'vggt_mse_loss': '0.284', 'vggt_cos_loss': '0.01197', 'pidinet_loss': '0.1919', 'siglip_loss': '0.5284', 'epoch': '0.1717'} + 53%|███████████████▉ | 4772/9000 [2:59:01<4:49:58, 4.12s/it][Dataset] cur_step=4773 phase=B_anchor_generation +[Dataset] cur_step=4773 phase=B_anchor_generation +[Dataset] cur_step=4773 phase=B_anchor_generation +[Dataset] cur_step=4773 phase=B_anchor_generation[Dataset] cur_step=4773 phase=B_anchor_generation + + 53%|███████████████▉ | 4773/9000 [2:59:03<5:22:05, 4.57s/it][Dataset] cur_step=4773 phase=B_anchor_generation +[Dataset] cur_step=4773 phase=B_anchor_generation +[Dataset] cur_step=4773 phase=B_anchor_generation + {'loss': '2.731', 'grad_norm': '1.734', 'learning_rate': '2.456e-05', 'epoch': '0.1717'} + 53%|███████████████▉ | 4773/9000 [2:59:03<5:22:05, 4.57s/it] {'lm_loss': '0.0001036', 'visual_loss': '2.814', 'seg_loss': '0.7253', 'dino_loss': '0.9292', 'depth_loss': '0.3487', 'vggt_mse_loss': '0.3459', 'vggt_cos_loss': '0.02849', 'pidinet_loss': '0.249', 'siglip_loss': '0.5617', 'epoch': '0.1717'} + 53%|███████████████▉ | 4773/9000 [2:59:07<5:22:05, 4.57s/it][Dataset] cur_step=4774 phase=B_anchor_generation[Dataset] cur_step=4774 phase=B_anchor_generation + +[Dataset] cur_step=4774 phase=B_anchor_generation +[Dataset] cur_step=4774 phase=B_anchor_generation +[Dataset] cur_step=4774 phase=B_anchor_generation +[Dataset] cur_step=4774 phase=B_anchor_generation +[Dataset] cur_step=4774 phase=B_anchor_generation + 53%|███████████████▉ | 4774/9000 [2:59:07<5:00:51, 4.27s/it][Dataset] cur_step=4774 phase=B_anchor_generation + {'loss': '2.763', 'grad_norm': '2.955', 'learning_rate': '2.455e-05', 'epoch': '0.1717'} + 53%|███████████████▉ | 4774/9000 [2:59:07<5:00:51, 4.27s/it] {'lm_loss': '9.959e-05', 'visual_loss': '2.804', 'seg_loss': '0.7534', 'dino_loss': '0.9325', 'depth_loss': '0.2732', 'vggt_mse_loss': '0.2714', 'vggt_cos_loss': '0.01822', 'pidinet_loss': '0.2256', 'siglip_loss': '0.6197', 'epoch': '0.1717'} + 53%|███████████████▉ | 4774/9000 [2:59:10<5:00:51, 4.27s/it][Dataset] cur_step=4775 phase=B_anchor_generation +[Dataset] cur_step=4775 phase=B_anchor_generation +[Dataset] cur_step=4775 phase=B_anchor_generation +[Dataset] cur_step=4775 phase=B_anchor_generation + 53%|███████████████▉ | 4775/9000 [2:59:13<5:32:45, 4.73s/it][Dataset] cur_step=4775 phase=B_anchor_generation[Dataset] cur_step=4775 phase=B_anchor_generation + +[Dataset] cur_step=4775 phase=B_anchor_generation +[Dataset] cur_step=4775 phase=B_anchor_generation + {'loss': '2.792', 'grad_norm': '2.154', 'learning_rate': '2.454e-05', 'epoch': '0.1718'} + 53%|███████████████▉ | 4775/9000 [2:59:13<5:32:45, 4.73s/it] {'lm_loss': '0.0005008', 'visual_loss': '2.51', 'seg_loss': '0.6425', 'dino_loss': '0.8883', 'depth_loss': '0.2237', 'vggt_mse_loss': '0.2225', 'vggt_cos_loss': '0.01267', 'pidinet_loss': '0.222', 'siglip_loss': '0.5338', 'epoch': '0.1718'} + 53%|███████████████▉ | 4775/9000 [2:59:16<5:32:45, 4.73s/it][Dataset] cur_step=4776 phase=B_anchor_generation +[Dataset] cur_step=4776 phase=B_anchor_generation +[Dataset] cur_step=4776 phase=B_anchor_generation +[Dataset] cur_step=4776 phase=B_anchor_generation +[Dataset] cur_step=4776 phase=B_anchor_generation[Dataset] cur_step=4776 phase=B_anchor_generation + +[Dataset] cur_step=4776 phase=B_anchor_generation +[Dataset] cur_step=4776 phase=B_anchor_generation + 53%|███████████████▉ | 4776/9000 [2:59:17<5:26:22, 4.64s/it] {'loss': '2.68', 'grad_norm': '1.479', 'learning_rate': '2.453e-05', 'epoch': '0.1718'} + 53%|███████████████▉ | 4776/9000 [2:59:17<5:26:22, 4.64s/it] {'lm_loss': '0.0002111', 'visual_loss': '2.738', 'seg_loss': '0.668', 'dino_loss': '0.9203', 'depth_loss': '0.2371', 'vggt_mse_loss': '0.2357', 'vggt_cos_loss': '0.01426', 'pidinet_loss': '0.2376', 'siglip_loss': '0.6751', 'epoch': '0.1718'} + 53%|███████████████▉ | 4776/9000 [2:59:21<5:26:22, 4.64s/it][Dataset] cur_step=4777 phase=B_anchor_generation +[Dataset] cur_step=4777 phase=B_anchor_generation[Dataset] cur_step=4777 phase=B_anchor_generation + +[Dataset] cur_step=4777 phase=B_anchor_generation +[Dataset] cur_step=4777 phase=B_anchor_generation + 53%|███████████████▉ | 4777/9000 [2:59:21<5:15:06, 4.48s/it][Dataset] cur_step=4777 phase=B_anchor_generation +[Dataset] cur_step=4777 phase=B_anchor_generation +[Dataset] cur_step=4777 phase=B_anchor_generation + {'loss': '2.755', 'grad_norm': '1.732', 'learning_rate': '2.452e-05', 'epoch': '0.1719'} + 53%|███████████████▉ | 4777/9000 [2:59:21<5:15:06, 4.48s/it] {'lm_loss': '8.016e-05', 'visual_loss': '2.688', 'seg_loss': '0.7456', 'dino_loss': '0.9234', 'depth_loss': '0.2021', 'vggt_mse_loss': '0.2006', 'vggt_cos_loss': '0.0146', 'pidinet_loss': '0.2591', 'siglip_loss': '0.5576', 'epoch': '0.1719'} + 53%|███████████████▉ | 4777/9000 [2:59:25<5:15:06, 4.48s/it][Dataset] cur_step=4778 phase=B_anchor_generation +[Dataset] cur_step=4778 phase=B_anchor_generation[Dataset] cur_step=4778 phase=B_anchor_generation +[Dataset] cur_step=4778 phase=B_anchor_generation + + 53%|███████████████▉ | 4778/9000 [2:59:25<5:03:23, 4.31s/it][Dataset] cur_step=4778 phase=B_anchor_generation +[Dataset] cur_step=4778 phase=B_anchor_generation +[Dataset] cur_step=4778 phase=B_anchor_generation +[Dataset] cur_step=4778 phase=B_anchor_generation + {'loss': '2.831', 'grad_norm': '1.39', 'learning_rate': '2.451e-05', 'epoch': '0.1719'} + 53%|███████████████▉ | 4778/9000 [2:59:25<5:03:23, 4.31s/it] {'lm_loss': '0.0003568', 'visual_loss': '2.239', 'seg_loss': '0.6279', 'dino_loss': '0.8719', 'depth_loss': '0.2218', 'vggt_mse_loss': '0.2207', 'vggt_cos_loss': '0.01099', 'pidinet_loss': '0.1668', 'siglip_loss': '0.3508', 'epoch': '0.1719'} + 53%|███████████████▉ | 4778/9000 [2:59:29<5:03:23, 4.31s/it][Dataset] cur_step=4779 phase=B_anchor_generation +[Dataset] cur_step=4779 phase=B_anchor_generation[Dataset] cur_step=4779 phase=B_anchor_generation + +[Dataset] cur_step=4779 phase=B_anchor_generation +[Dataset] cur_step=4779 phase=B_anchor_generation[Dataset] cur_step=4779 phase=B_anchor_generation + +[Dataset] cur_step=4779 phase=B_anchor_generation + 53%|███████████████▉ | 4779/9000 [2:59:32<5:44:10, 4.89s/it][Dataset] cur_step=4779 phase=B_anchor_generation + {'loss': '2.708', 'grad_norm': '2.09', 'learning_rate': '2.45e-05', 'epoch': '0.1719'} + 53%|███████████████▉ | 4779/9000 [2:59:32<5:44:10, 4.89s/it] {'lm_loss': '9.467e-05', 'visual_loss': '2.83', 'seg_loss': '0.8025', 'dino_loss': '0.9306', 'depth_loss': '0.2748', 'vggt_mse_loss': '0.2731', 'vggt_cos_loss': '0.01686', 'pidinet_loss': '0.2295', 'siglip_loss': '0.5925', 'epoch': '0.1719'} + 53%|███████████████▉ | 4779/9000 [2:59:35<5:44:10, 4.89s/it][Dataset] cur_step=4780 phase=B_anchor_generation[Dataset] cur_step=4780 phase=B_anchor_generation + +[Dataset] cur_step=4780 phase=B_anchor_generation +[Dataset] cur_step=4780 phase=B_anchor_generation[Dataset] cur_step=4780 phase=B_anchor_generation + +[Dataset] cur_step=4780 phase=B_anchor_generation +[Dataset] cur_step=4780 phase=B_anchor_generation + 53%|███████████████▉ | 4780/9000 [2:59:36<5:32:26, 4.73s/it][Dataset] cur_step=4780 phase=B_anchor_generation + {'loss': '2.68', 'grad_norm': '1.522', 'learning_rate': '2.449e-05', 'epoch': '0.172'} + 53%|███████████████▉ | 4780/9000 [2:59:36<5:32:26, 4.73s/it] {'lm_loss': '9.274e-05', 'visual_loss': '2.85', 'seg_loss': '0.6816', 'dino_loss': '0.9012', 'depth_loss': '0.276', 'vggt_mse_loss': '0.2739', 'vggt_cos_loss': '0.02047', 'pidinet_loss': '0.2494', 'siglip_loss': '0.7423', 'epoch': '0.172'} + 53%|███████████████▉ | 4780/9000 [2:59:39<5:32:26, 4.73s/it][Dataset] cur_step=4781 phase=B_anchor_generation +[Dataset] cur_step=4781 phase=B_anchor_generation +[Dataset] cur_step=4781 phase=B_anchor_generation +[Dataset] cur_step=4781 phase=B_anchor_generation +[Dataset] cur_step=4781 phase=B_anchor_generation +[Dataset] cur_step=4781 phase=B_anchor_generation +[Dataset] cur_step=4781 phase=B_anchor_generation 53%|███████████████▉ | 4781/9000 [2:59:40<5:12:38, 4.45s/it] +[Dataset] cur_step=4781 phase=B_anchor_generation + {'loss': '2.69', 'grad_norm': '5.62', 'learning_rate': '2.449e-05', 'epoch': '0.172'} + 53%|███████████████▉ | 4781/9000 [2:59:40<5:12:38, 4.45s/it] {'lm_loss': '0.0003469', 'visual_loss': '2.391', 'seg_loss': '0.5071', 'dino_loss': '0.8933', 'depth_loss': '0.2283', 'vggt_mse_loss': '0.2268', 'vggt_cos_loss': '0.01511', 'pidinet_loss': '0.2228', 'siglip_loss': '0.5395', 'epoch': '0.172'} + 53%|███████████████▉ | 4781/9000 [2:59:43<5:12:38, 4.45s/it][Dataset] cur_step=4782 phase=B_anchor_generation +[Dataset] cur_step=4782 phase=B_anchor_generation +[Dataset] cur_step=4782 phase=B_anchor_generation +[Dataset] cur_step=4782 phase=B_anchor_generation +[Dataset] cur_step=4782 phase=B_anchor_generation[Dataset] cur_step=4782 phase=B_anchor_generation + + 53%|███████████████▉ | 4782/9000 [2:59:47<6:19:22, 5.40s/it][Dataset] cur_step=4782 phase=B_anchor_generation +[Dataset] cur_step=4782 phase=B_anchor_generation + {'loss': '2.722', 'grad_norm': '1.673', 'learning_rate': '2.448e-05', 'epoch': '0.172'} + 53%|███████████████▉ | 4782/9000 [2:59:47<6:19:22, 5.40s/it] {'lm_loss': '0.000284', 'visual_loss': '2.71', 'seg_loss': '0.7407', 'dino_loss': '0.9164', 'depth_loss': '0.2508', 'vggt_mse_loss': '0.2489', 'vggt_cos_loss': '0.01877', 'pidinet_loss': '0.2461', 'siglip_loss': '0.556', 'epoch': '0.172'} + 53%|███████████████▉ | 4782/9000 [2:59:50<6:19:22, 5.40s/it][Dataset] cur_step=4783 phase=B_anchor_generation +[Dataset] cur_step=4783 phase=B_anchor_generation +[Dataset] cur_step=4783 phase=B_anchor_generation +[Dataset] cur_step=4783 phase=B_anchor_generation[Dataset] cur_step=4783 phase=B_anchor_generation + +[Dataset] cur_step=4783 phase=B_anchor_generation +[Dataset] cur_step=4783 phase=B_anchor_generation + 53%|███████████████▉ | 4783/9000 [2:59:54<6:40:59, 5.71s/it][Dataset] cur_step=4783 phase=B_anchor_generation + {'loss': '2.773', 'grad_norm': '2.557', 'learning_rate': '2.447e-05', 'epoch': '0.1721'} + 53%|███████████████▉ | 4783/9000 [2:59:54<6:40:59, 5.71s/it] {'lm_loss': '0.0001134', 'visual_loss': '2.746', 'seg_loss': '0.6377', 'dino_loss': '0.8987', 'depth_loss': '0.2269', 'vggt_mse_loss': '0.2254', 'vggt_cos_loss': '0.01475', 'pidinet_loss': '0.2048', 'siglip_loss': '0.7779', 'epoch': '0.1721'} + 53%|███████████████▉ | 4783/9000 [2:59:57<6:40:59, 5.71s/it][Dataset] cur_step=4784 phase=B_anchor_generation +[Dataset] cur_step=4784 phase=B_anchor_generation +[Dataset] cur_step=4784 phase=B_anchor_generation[Dataset] cur_step=4784 phase=B_anchor_generation + +[Dataset] cur_step=4784 phase=B_anchor_generation +[Dataset] cur_step=4784 phase=B_anchor_generation[Dataset] cur_step=4784 phase=B_anchor_generation + + 53%|███████████████▉ | 4784/9000 [2:59:58<6:04:39, 5.19s/it][Dataset] cur_step=4784 phase=B_anchor_generation + {'loss': '2.727', 'grad_norm': '1.812', 'learning_rate': '2.446e-05', 'epoch': '0.1721'} + 53%|███████████████▉ | 4784/9000 [2:59:58<6:04:39, 5.19s/it] {'lm_loss': '0.0002392', 'visual_loss': '2.567', 'seg_loss': '0.6592', 'dino_loss': '0.9155', 'depth_loss': '0.1874', 'vggt_mse_loss': '0.1862', 'vggt_cos_loss': '0.01224', 'pidinet_loss': '0.243', 'siglip_loss': '0.5622', 'epoch': '0.1721'} + 53%|███████████████▉ | 4784/9000 [3:00:01<6:04:39, 5.19s/it][Dataset] cur_step=4785 phase=B_anchor_generation +[Dataset] cur_step=4785 phase=B_anchor_generation +[Dataset] cur_step=4785 phase=B_anchor_generation +[Dataset] cur_step=4785 phase=B_anchor_generation +[Dataset] cur_step=4785 phase=B_anchor_generation +[Dataset] cur_step=4785 phase=B_anchor_generation +[Dataset] cur_step=4785 phase=B_anchor_generation[Dataset] cur_step=4785 phase=B_anchor_generation + + 53%|███████████████▉ | 4785/9000 [3:00:02<5:35:02, 4.77s/it] {'loss': '2.679', 'grad_norm': '1.528', 'learning_rate': '2.445e-05', 'epoch': '0.1721'} + 53%|███████████████▉ | 4785/9000 [3:00:02<5:35:02, 4.77s/it] {'lm_loss': '0.0001019', 'visual_loss': '2.826', 'seg_loss': '0.7632', 'dino_loss': '0.9304', 'depth_loss': '0.3028', 'vggt_mse_loss': '0.3005', 'vggt_cos_loss': '0.02349', 'pidinet_loss': '0.2664', 'siglip_loss': '0.563', 'epoch': '0.1721'} + 53%|███████████████▉ | 4785/9000 [3:00:05<5:35:02, 4.77s/it][Dataset] cur_step=4786 phase=B_anchor_generation +[Dataset] cur_step=4786 phase=B_anchor_generation +[Dataset] cur_step=4786 phase=B_anchor_generation[Dataset] cur_step=4786 phase=B_anchor_generation + +[Dataset] cur_step=4786 phase=B_anchor_generation +[Dataset] cur_step=4786 phase=B_anchor_generation +[Dataset] cur_step=4786 phase=B_anchor_generation + 53%|███████████████▉ | 4786/9000 [3:00:06<5:23:42, 4.61s/it][Dataset] cur_step=4786 phase=B_anchor_generation + {'loss': '2.747', 'grad_norm': '1.245', 'learning_rate': '2.444e-05', 'epoch': '0.1722'} + 53%|███████████████▉ | 4786/9000 [3:00:06<5:23:42, 4.61s/it] {'lm_loss': '0.0001256', 'visual_loss': '2.523', 'seg_loss': '0.6773', 'dino_loss': '0.8916', 'depth_loss': '0.2255', 'vggt_mse_loss': '0.2243', 'vggt_cos_loss': '0.01165', 'pidinet_loss': '0.1899', 'siglip_loss': '0.5389', 'epoch': '0.1722'} + 53%|███████████████▉ | 4786/9000 [3:00:09<5:23:42, 4.61s/it][Dataset] cur_step=4787 phase=B_anchor_generation +[Dataset] cur_step=4787 phase=B_anchor_generation[Dataset] cur_step=4787 phase=B_anchor_generation + +[Dataset] cur_step=4787 phase=B_anchor_generation +[Dataset] cur_step=4787 phase=B_anchor_generation +[Dataset] cur_step=4787 phase=B_anchor_generation +[Dataset] cur_step=4787 phase=B_anchor_generation + 53%|███████████████▉ | 4787/9000 [3:00:10<5:10:59, 4.43s/it][Dataset] cur_step=4787 phase=B_anchor_generation + {'loss': '2.624', 'grad_norm': '11.51', 'learning_rate': '2.443e-05', 'epoch': '0.1722'} + 53%|███████████████▉ | 4787/9000 [3:00:10<5:10:59, 4.43s/it] {'lm_loss': '0.0001287', 'visual_loss': '2.912', 'seg_loss': '0.7345', 'dino_loss': '0.941', 'depth_loss': '0.3725', 'vggt_mse_loss': '0.3686', 'vggt_cos_loss': '0.03923', 'pidinet_loss': '0.2803', 'siglip_loss': '0.5834', 'epoch': '0.1722'} + 53%|███████████████▉ | 4787/9000 [3:00:13<5:10:59, 4.43s/it][Dataset] cur_step=4788 phase=B_anchor_generation +[Dataset] cur_step=4788 phase=B_anchor_generation +[Dataset] cur_step=4788 phase=B_anchor_generation[Dataset] cur_step=4788 phase=B_anchor_generation + +[Dataset] cur_step=4788 phase=B_anchor_generation +[Dataset] cur_step=4788 phase=B_anchor_generation + 53%|███████████████▉ | 4788/9000 [3:00:14<5:00:36, 4.28s/it][Dataset] cur_step=4788 phase=B_anchor_generation +[Dataset] cur_step=4788 phase=B_anchor_generation + {'loss': '2.753', 'grad_norm': '1.386', 'learning_rate': '2.442e-05', 'epoch': '0.1722'} + 53%|███████████████▉ | 4788/9000 [3:00:14<5:00:36, 4.28s/it] {'lm_loss': '0.0002713', 'visual_loss': '2.767', 'seg_loss': '0.8026', 'dino_loss': '0.9257', 'depth_loss': '0.2798', 'vggt_mse_loss': '0.2778', 'vggt_cos_loss': '0.01979', 'pidinet_loss': '0.2354', 'siglip_loss': '0.5237', 'epoch': '0.1722'} + 53%|███████████████▉ | 4788/9000 [3:00:17<5:00:36, 4.28s/it][Dataset] cur_step=4789 phase=B_anchor_generation +[Dataset] cur_step=4789 phase=B_anchor_generation +[Dataset] cur_step=4789 phase=B_anchor_generation +[Dataset] cur_step=4789 phase=B_anchor_generation[Dataset] cur_step=4789 phase=B_anchor_generation + +[Dataset] cur_step=4789 phase=B_anchor_generation + 53%|███████████████▉ | 4789/9000 [3:00:17<4:46:07, 4.08s/it][Dataset] cur_step=4789 phase=B_anchor_generation +[Dataset] cur_step=4789 phase=B_anchor_generation + {'loss': '2.792', 'grad_norm': '3.501', 'learning_rate': '2.441e-05', 'epoch': '0.1723'} + 53%|███████████████▉ | 4789/9000 [3:00:17<4:46:07, 4.08s/it] {'lm_loss': '0.0002321', 'visual_loss': '2.352', 'seg_loss': '0.7295', 'dino_loss': '0.8849', 'depth_loss': '0.2805', 'vggt_mse_loss': '0.2791', 'vggt_cos_loss': '0.0136', 'pidinet_loss': '0.1353', 'siglip_loss': '0.3215', 'epoch': '0.1723'} + 53%|███████████████▉ | 4789/9000 [3:00:21<4:46:07, 4.08s/it][Dataset] cur_step=4790 phase=B_anchor_generation +[Dataset] cur_step=4790 phase=B_anchor_generation[Dataset] cur_step=4790 phase=B_anchor_generation + +[Dataset] cur_step=4790 phase=B_anchor_generation +[Dataset] cur_step=4790 phase=B_anchor_generation +[Dataset] cur_step=4790 phase=B_anchor_generation[Dataset] cur_step=4790 phase=B_anchor_generation + + 53%|███████████████▉ | 4790/9000 [3:00:21<4:41:28, 4.01s/it][Dataset] cur_step=4790 phase=B_anchor_generation + {'loss': '2.7', 'grad_norm': '1.996', 'learning_rate': '2.44e-05', 'epoch': '0.1723'} + 53%|███████████████▉ | 4790/9000 [3:00:21<4:41:28, 4.01s/it] {'lm_loss': '9.556e-05', 'visual_loss': '2.495', 'seg_loss': '0.7161', 'dino_loss': '0.8937', 'depth_loss': '0.2977', 'vggt_mse_loss': '0.2961', 'vggt_cos_loss': '0.01536', 'pidinet_loss': '0.1777', 'siglip_loss': '0.4095', 'epoch': '0.1723'} + 53%|███████████████▉ | 4790/9000 [3:00:24<4:41:28, 4.01s/it][Dataset] cur_step=4791 phase=B_anchor_generation +[Dataset] cur_step=4791 phase=B_anchor_generation +[Dataset] cur_step=4791 phase=B_anchor_generation +[Dataset] cur_step=4791 phase=B_anchor_generation +[Dataset] cur_step=4791 phase=B_anchor_generation + 53%|███████████████▉ | 4791/9000 [3:00:25<4:35:48, 3.93s/it][Dataset] cur_step=4791 phase=B_anchor_generation +[Dataset] cur_step=4791 phase=B_anchor_generation +[Dataset] cur_step=4791 phase=B_anchor_generation + {'loss': '2.744', 'grad_norm': '2.732', 'learning_rate': '2.439e-05', 'epoch': '0.1724'} + 53%|███████████████▉ | 4791/9000 [3:00:25<4:35:48, 3.93s/it] {'lm_loss': '5.301e-05', 'visual_loss': '2.75', 'seg_loss': '0.7919', 'dino_loss': '0.9345', 'depth_loss': '0.2352', 'vggt_mse_loss': '0.2334', 'vggt_cos_loss': '0.01762', 'pidinet_loss': '0.2489', 'siglip_loss': '0.5399', 'epoch': '0.1724'} + 53%|███████████████▉ | 4791/9000 [3:00:28<4:35:48, 3.93s/it][Dataset] cur_step=4792 phase=B_anchor_generation +[Dataset] cur_step=4792 phase=B_anchor_generation +[Dataset] cur_step=4792 phase=B_anchor_generation[Dataset] cur_step=4792 phase=B_anchor_generation + +[Dataset] cur_step=4792 phase=B_anchor_generation +[Dataset] cur_step=4792 phase=B_anchor_generation +[Dataset] cur_step=4792 phase=B_anchor_generation 53%|███████████████▉ | 4792/9000 [3:00:29<4:34:48, 3.92s/it] +[Dataset] cur_step=4792 phase=B_anchor_generation + {'loss': '2.724', 'grad_norm': '1.463', 'learning_rate': '2.438e-05', 'epoch': '0.1724'} + 53%|███████████████▉ | 4792/9000 [3:00:29<4:34:48, 3.92s/it] {'lm_loss': '0.0001001', 'visual_loss': '2.622', 'seg_loss': '0.6792', 'dino_loss': '0.9144', 'depth_loss': '0.2769', 'vggt_mse_loss': '0.2753', 'vggt_cos_loss': '0.016', 'pidinet_loss': '0.2028', 'siglip_loss': '0.5488', 'epoch': '0.1724'} + 53%|███████████████▉ | 4792/9000 [3:00:32<4:34:48, 3.92s/it][Dataset] cur_step=4793 phase=B_anchor_generation +[Dataset] cur_step=4793 phase=B_anchor_generation +[Dataset] cur_step=4793 phase=B_anchor_generation +[Dataset] cur_step=4793 phase=B_anchor_generation + 53%|███████████████▉ | 4793/9000 [3:00:32<4:29:50, 3.85s/it][Dataset] cur_step=4793 phase=B_anchor_generation +[Dataset] cur_step=4793 phase=B_anchor_generation +[Dataset] cur_step=4793 phase=B_anchor_generation +[Dataset] cur_step=4793 phase=B_anchor_generation + {'loss': '2.721', 'grad_norm': '1.404', 'learning_rate': '2.438e-05', 'epoch': '0.1724'} + 53%|███████████████▉ | 4793/9000 [3:00:32<4:29:50, 3.85s/it] {'lm_loss': '0.0001791', 'visual_loss': '2.66', 'seg_loss': '0.7212', 'dino_loss': '0.9018', 'depth_loss': '0.283', 'vggt_mse_loss': '0.2813', 'vggt_cos_loss': '0.01702', 'pidinet_loss': '0.1823', 'siglip_loss': '0.5712', 'epoch': '0.1724'} + 53%|███████████████▉ | 4793/9000 [3:00:35<4:29:50, 3.85s/it][Dataset] cur_step=4794 phase=B_anchor_generation +[Dataset] cur_step=4794 phase=B_anchor_generation +[Dataset] cur_step=4794 phase=B_anchor_generation +[Dataset] cur_step=4794 phase=B_anchor_generation +[Dataset] cur_step=4794 phase=B_anchor_generation +[Dataset] cur_step=4794 phase=B_anchor_generation +[Dataset] cur_step=4794 phase=B_anchor_generation 53%|███████████████▉ | 4794/9000 [3:00:36<4:26:01, 3.79s/it] +[Dataset] cur_step=4794 phase=B_anchor_generation + {'loss': '2.706', 'grad_norm': '1.834', 'learning_rate': '2.437e-05', 'epoch': '0.1725'} + 53%|███████████████▉ | 4794/9000 [3:00:36<4:26:01, 3.79s/it] {'lm_loss': '0.0001145', 'visual_loss': '2.464', 'seg_loss': '0.7094', 'dino_loss': '0.9138', 'depth_loss': '0.2163', 'vggt_mse_loss': '0.2153', 'vggt_cos_loss': '0.01022', 'pidinet_loss': '0.2169', 'siglip_loss': '0.4077', 'epoch': '0.1725'} + 53%|███████████████▉ | 4794/9000 [3:00:40<4:26:01, 3.79s/it][Dataset] cur_step=4795 phase=B_anchor_generation +[Dataset] cur_step=4795 phase=B_anchor_generation +[Dataset] cur_step=4795 phase=B_anchor_generation +[Dataset] cur_step=4795 phase=B_anchor_generation 53%|███████████████▉ | 4795/9000 [3:00:40<4:33:04, 3.90s/it] +[Dataset] cur_step=4795 phase=B_anchor_generation +[Dataset] cur_step=4795 phase=B_anchor_generation +[Dataset] cur_step=4795 phase=B_anchor_generation +[Dataset] cur_step=4795 phase=B_anchor_generation + {'loss': '2.839', 'grad_norm': '1.64', 'learning_rate': '2.436e-05', 'epoch': '0.1725'} + 53%|███████████████▉ | 4795/9000 [3:00:40<4:33:04, 3.90s/it] {'lm_loss': '0.0001189', 'visual_loss': '2.914', 'seg_loss': '0.7541', 'dino_loss': '0.8985', 'depth_loss': '0.3278', 'vggt_mse_loss': '0.3257', 'vggt_cos_loss': '0.02137', 'pidinet_loss': '0.2941', 'siglip_loss': '0.6391', 'epoch': '0.1725'} + 53%|███████████████▉ | 4795/9000 [3:00:43<4:33:04, 3.90s/it][Dataset] cur_step=4796 phase=B_anchor_generation[Dataset] cur_step=4796 phase=B_anchor_generation[Dataset] cur_step=4796 phase=B_anchor_generation + + +[Dataset] cur_step=4796 phase=B_anchor_generation +[Dataset] cur_step=4796 phase=B_anchor_generation +[Dataset] cur_step=4796 phase=B_anchor_generation + 53%|███████████████▉ | 4796/9000 [3:00:45<4:46:07, 4.08s/it][Dataset] cur_step=4796 phase=B_anchor_generation +[Dataset] cur_step=4796 phase=B_anchor_generation + {'loss': '2.698', 'grad_norm': '2.867', 'learning_rate': '2.435e-05', 'epoch': '0.1725'} + 53%|███████████████▉ | 4796/9000 [3:00:45<4:46:07, 4.08s/it] {'lm_loss': '0.0002233', 'visual_loss': '2.847', 'seg_loss': '0.7164', 'dino_loss': '0.8843', 'depth_loss': '0.3101', 'vggt_mse_loss': '0.308', 'vggt_cos_loss': '0.02083', 'pidinet_loss': '0.2997', 'siglip_loss': '0.636', 'epoch': '0.1725'} + 53%|███████████████▉ | 4796/9000 [3:00:48<4:46:07, 4.08s/it][Dataset] cur_step=4797 phase=B_anchor_generation +[Dataset] cur_step=4797 phase=B_anchor_generation +[Dataset] cur_step=4797 phase=B_anchor_generation +[Dataset] cur_step=4797 phase=B_anchor_generation[Dataset] cur_step=4797 phase=B_anchor_generation + +[Dataset] cur_step=4797 phase=B_anchor_generation + 53%|███████████████▉ | 4797/9000 [3:00:49<4:41:48, 4.02s/it][Dataset] cur_step=4797 phase=B_anchor_generation +[Dataset] cur_step=4797 phase=B_anchor_generation + {'loss': '2.667', 'grad_norm': '1.519', 'learning_rate': '2.434e-05', 'epoch': '0.1726'} + 53%|███████████████▉ | 4797/9000 [3:00:49<4:41:48, 4.02s/it] {'lm_loss': '0.0001661', 'visual_loss': '2.441', 'seg_loss': '0.5772', 'dino_loss': '0.8951', 'depth_loss': '0.2952', 'vggt_mse_loss': '0.2932', 'vggt_cos_loss': '0.02021', 'pidinet_loss': '0.1621', 'siglip_loss': '0.5112', 'epoch': '0.1726'} + 53%|███████████████▉ | 4797/9000 [3:00:52<4:41:48, 4.02s/it][Dataset] cur_step=4798 phase=B_anchor_generation +[Dataset] cur_step=4798 phase=B_anchor_generation +[Dataset] cur_step=4798 phase=B_anchor_generation +[Dataset] cur_step=4798 phase=B_anchor_generation[Dataset] cur_step=4798 phase=B_anchor_generation + + 53%|███████████████▉ | 4798/9000 [3:00:52<4:31:36, 3.88s/it][Dataset] cur_step=4798 phase=B_anchor_generation[Dataset] cur_step=4798 phase=B_anchor_generation + +[Dataset] cur_step=4798 phase=B_anchor_generation + {'loss': '2.618', 'grad_norm': '1.294', 'learning_rate': '2.433e-05', 'epoch': '0.1726'} + 53%|███████████████▉ | 4798/9000 [3:00:52<4:31:36, 3.88s/it] {'lm_loss': '0.0001856', 'visual_loss': '2.909', 'seg_loss': '0.8204', 'dino_loss': '0.9125', 'depth_loss': '0.4058', 'vggt_mse_loss': '0.4036', 'vggt_cos_loss': '0.02233', 'pidinet_loss': '0.2152', 'siglip_loss': '0.5549', 'epoch': '0.1726'} + 53%|███████████████▉ | 4798/9000 [3:00:55<4:31:36, 3.88s/it][Dataset] cur_step=4799 phase=B_anchor_generation +[Dataset] cur_step=4799 phase=B_anchor_generation +[Dataset] cur_step=4799 phase=B_anchor_generation +[Dataset] cur_step=4799 phase=B_anchor_generation +[Dataset] cur_step=4799 phase=B_anchor_generation +[Dataset] cur_step=4799 phase=B_anchor_generation +[Dataset] cur_step=4799 phase=B_anchor_generation + 53%|███████████████▉ | 4799/9000 [3:00:56<4:33:00, 3.90s/it][Dataset] cur_step=4799 phase=B_anchor_generation + {'loss': '2.713', 'grad_norm': '1.531', 'learning_rate': '2.432e-05', 'epoch': '0.1726'} + 53%|███████████████▉ | 4799/9000 [3:00:56<4:33:00, 3.90s/it] {'lm_loss': '0.0001057', 'visual_loss': '2.964', 'seg_loss': '0.8099', 'dino_loss': '0.9266', 'depth_loss': '0.314', 'vggt_mse_loss': '0.3116', 'vggt_cos_loss': '0.02425', 'pidinet_loss': '0.2594', 'siglip_loss': '0.6537', 'epoch': '0.1726'} + 53%|███████████████▉ | 4799/9000 [3:00:59<4:33:00, 3.90s/it][Dataset] cur_step=4800 phase=B_anchor_generation +[Dataset] cur_step=4800 phase=B_anchor_generation +[Dataset] cur_step=4800 phase=B_anchor_generation +[Dataset] cur_step=4800 phase=B_anchor_generation +[Dataset] cur_step=4800 phase=B_anchor_generation +[Dataset] cur_step=4800 phase=B_anchor_generation + 53%|████████████████ | 4800/9000 [3:01:00<4:33:56, 3.91s/it][Dataset] cur_step=4800 phase=B_anchor_generation +[Dataset] cur_step=4800 phase=B_anchor_generation + {'loss': '2.742', 'grad_norm': '1.556', 'learning_rate': '2.431e-05', 'epoch': '0.1727'} + 53%|████████████████ | 4800/9000 [3:01:00<4:33:56, 3.91s/it] {'lm_loss': '0.0001282', 'visual_loss': '3.087', 'seg_loss': '0.7195', 'dino_loss': '0.9315', 'depth_loss': '0.3103', 'vggt_mse_loss': '0.3075', 'vggt_cos_loss': '0.02777', 'pidinet_loss': '0.2872', 'siglip_loss': '0.8388', 'epoch': '0.1727'} + 53%|████████████████ | 4800/9000 [3:01:04<4:33:56, 3.91s/it][Dataset] cur_step=4801 phase=B_anchor_generation +[Dataset] cur_step=4801 phase=B_anchor_generation +[Dataset] cur_step=4801 phase=B_anchor_generation +[Dataset] cur_step=4801 phase=B_anchor_generation[Dataset] cur_step=4801 phase=B_anchor_generation + +[Dataset] cur_step=4801 phase=B_anchor_generation +[Dataset] cur_step=4801 phase=B_anchor_generation + 53%|████████████████ | 4801/9000 [3:01:04<4:35:07, 3.93s/it][Dataset] cur_step=4801 phase=B_anchor_generation + {'loss': '2.806', 'grad_norm': '2.208', 'learning_rate': '2.43e-05', 'epoch': '0.1727'} + 53%|████████████████ | 4801/9000 [3:01:04<4:35:07, 3.93s/it] {'lm_loss': '0.0003755', 'visual_loss': '2.644', 'seg_loss': '0.7168', 'dino_loss': '0.9111', 'depth_loss': '0.1635', 'vggt_mse_loss': '0.1624', 'vggt_cos_loss': '0.01115', 'pidinet_loss': '0.2634', 'siglip_loss': '0.589', 'epoch': '0.1727'} + 53%|████████████████ | 4801/9000 [3:01:08<4:35:07, 3.93s/it][Dataset] cur_step=4802 phase=B_anchor_generation +[Dataset] cur_step=4802 phase=B_anchor_generation +[Dataset] cur_step=4802 phase=B_anchor_generation +[Dataset] cur_step=4802 phase=B_anchor_generation[Dataset] cur_step=4802 phase=B_anchor_generation + + 53%|████████████████ | 4802/9000 [3:01:08<4:38:36, 3.98s/it][Dataset] cur_step=4802 phase=B_anchor_generation +[Dataset] cur_step=4802 phase=B_anchor_generation +[Dataset] cur_step=4802 phase=B_anchor_generation + {'loss': '2.756', 'grad_norm': '3.729', 'learning_rate': '2.429e-05', 'epoch': '0.1728'} + 53%|████████████████ | 4802/9000 [3:01:08<4:38:36, 3.98s/it] {'lm_loss': '0.0004552', 'visual_loss': '2.825', 'seg_loss': '0.8066', 'dino_loss': '0.9016', 'depth_loss': '0.1796', 'vggt_mse_loss': '0.1782', 'vggt_cos_loss': '0.01387', 'pidinet_loss': '0.2668', 'siglip_loss': '0.6704', 'epoch': '0.1728'} + 53%|████████████████ | 4802/9000 [3:01:11<4:38:36, 3.98s/it][Dataset] cur_step=4803 phase=B_anchor_generation +[Dataset] cur_step=4803 phase=B_anchor_generation +[Dataset] cur_step=4803 phase=B_anchor_generation +[Dataset] cur_step=4803 phase=B_anchor_generation +[Dataset] cur_step=4803 phase=B_anchor_generation +[Dataset] cur_step=4803 phase=B_anchor_generation +[Dataset] cur_step=4803 phase=B_anchor_generation + 53%|████████████████ | 4803/9000 [3:01:12<4:41:00, 4.02s/it][Dataset] cur_step=4803 phase=B_anchor_generation + {'loss': '2.725', 'grad_norm': '1.279', 'learning_rate': '2.428e-05', 'epoch': '0.1728'} + 53%|████████████████ | 4803/9000 [3:01:12<4:41:00, 4.02s/it] {'lm_loss': '0.0003403', 'visual_loss': '2.677', 'seg_loss': '0.6472', 'dino_loss': '0.9147', 'depth_loss': '0.2402', 'vggt_mse_loss': '0.2384', 'vggt_cos_loss': '0.01851', 'pidinet_loss': '0.2515', 'siglip_loss': '0.6236', 'epoch': '0.1728'} + 53%|████████████████ | 4803/9000 [3:01:16<4:41:00, 4.02s/it][Dataset] cur_step=4804 phase=B_anchor_generation +[Dataset] cur_step=4804 phase=B_anchor_generation[Dataset] cur_step=4804 phase=B_anchor_generation + +[Dataset] cur_step=4804 phase=B_anchor_generation[Dataset] cur_step=4804 phase=B_anchor_generation +[Dataset] cur_step=4804 phase=B_anchor_generation +[Dataset] cur_step=4804 phase=B_anchor_generation + + 53%|████████████████ | 4804/9000 [3:01:16<4:38:01, 3.98s/it][Dataset] cur_step=4804 phase=B_anchor_generation + {'loss': '2.788', 'grad_norm': '1.955', 'learning_rate': '2.427e-05', 'epoch': '0.1728'} + 53%|████████████████ | 4804/9000 [3:01:16<4:38:01, 3.98s/it] {'lm_loss': '0.0001817', 'visual_loss': '2.595', 'seg_loss': '0.7152', 'dino_loss': '0.8836', 'depth_loss': '0.3563', 'vggt_mse_loss': '0.354', 'vggt_cos_loss': '0.02327', 'pidinet_loss': '0.2151', 'siglip_loss': '0.4243', 'epoch': '0.1728'} + 53%|████████████████ | 4804/9000 [3:01:20<4:38:01, 3.98s/it][Dataset] cur_step=4805 phase=B_anchor_generation[Dataset] cur_step=4805 phase=B_anchor_generation + +[Dataset] cur_step=4805 phase=B_anchor_generation +[Dataset] cur_step=4805 phase=B_anchor_generation +[Dataset] cur_step=4805 phase=B_anchor_generation + 53%|████████████████ | 4805/9000 [3:01:20<4:39:45, 4.00s/it][Dataset] cur_step=4805 phase=B_anchor_generation +[Dataset] cur_step=4805 phase=B_anchor_generation +[Dataset] cur_step=4805 phase=B_anchor_generation + {'loss': '2.65', 'grad_norm': '1.674', 'learning_rate': '2.427e-05', 'epoch': '0.1729'} + 53%|████████████████ | 4805/9000 [3:01:20<4:39:45, 4.00s/it] {'lm_loss': '0.0002568', 'visual_loss': '2.735', 'seg_loss': '0.6569', 'dino_loss': '0.9353', 'depth_loss': '0.2732', 'vggt_mse_loss': '0.2713', 'vggt_cos_loss': '0.01879', 'pidinet_loss': '0.2631', 'siglip_loss': '0.6066', 'epoch': '0.1729'} + 53%|████████████████ | 4805/9000 [3:01:23<4:39:45, 4.00s/it][Dataset] cur_step=4806 phase=B_anchor_generation +[Dataset] cur_step=4806 phase=B_anchor_generation +[Dataset] cur_step=4806 phase=B_anchor_generation +[Dataset] cur_step=4806 phase=B_anchor_generation[Dataset] cur_step=4806 phase=B_anchor_generation + +[Dataset] cur_step=4806 phase=B_anchor_generation + 53%|████████████████ | 4806/9000 [3:01:24<4:39:50, 4.00s/it][Dataset] cur_step=4806 phase=B_anchor_generation +[Dataset] cur_step=4806 phase=B_anchor_generation + {'loss': '2.731', 'grad_norm': '1.311', 'learning_rate': '2.426e-05', 'epoch': '0.1729'} + 53%|████████████████ | 4806/9000 [3:01:24<4:39:50, 4.00s/it] {'lm_loss': '0.0001454', 'visual_loss': '2.519', 'seg_loss': '0.6136', 'dino_loss': '0.9088', 'depth_loss': '0.3035', 'vggt_mse_loss': '0.3012', 'vggt_cos_loss': '0.02227', 'pidinet_loss': '0.1775', 'siglip_loss': '0.5153', 'epoch': '0.1729'} + 53%|████████████████ | 4806/9000 [3:01:27<4:39:50, 4.00s/it][Dataset] cur_step=4807 phase=B_anchor_generation +[Dataset] cur_step=4807 phase=B_anchor_generation[Dataset] cur_step=4807 phase=B_anchor_generation + +[Dataset] cur_step=4807 phase=B_anchor_generation +[Dataset] cur_step=4807 phase=B_anchor_generation[Dataset] cur_step=4807 phase=B_anchor_generation + + 53%|████████████████ | 4807/9000 [3:01:28<4:33:28, 3.91s/it][Dataset] cur_step=4807 phase=B_anchor_generation +[Dataset] cur_step=4807 phase=B_anchor_generation + {'loss': '2.77', 'grad_norm': '1.669', 'learning_rate': '2.425e-05', 'epoch': '0.1729'} + 53%|████████████████ | 4807/9000 [3:01:28<4:33:28, 3.91s/it] {'lm_loss': '0.0001424', 'visual_loss': '2.703', 'seg_loss': '0.6658', 'dino_loss': '0.9433', 'depth_loss': '0.2445', 'vggt_mse_loss': '0.2428', 'vggt_cos_loss': '0.01682', 'pidinet_loss': '0.1891', 'siglip_loss': '0.6603', 'epoch': '0.1729'} + 53%|████████████████ | 4807/9000 [3:01:31<4:33:28, 3.91s/it][Dataset] cur_step=4808 phase=B_anchor_generation +[Dataset] cur_step=4808 phase=B_anchor_generation +[Dataset] cur_step=4808 phase=B_anchor_generation[Dataset] cur_step=4808 phase=B_anchor_generation + + 53%|████████████████ | 4808/9000 [3:01:32<4:32:08, 3.90s/it][Dataset] cur_step=4808 phase=B_anchor_generation[Dataset] cur_step=4808 phase=B_anchor_generation + +[Dataset] cur_step=4808 phase=B_anchor_generation +[Dataset] cur_step=4808 phase=B_anchor_generation + {'loss': '2.732', 'grad_norm': '1.332', 'learning_rate': '2.424e-05', 'epoch': '0.173'} + 53%|████████████████ | 4808/9000 [3:01:32<4:32:08, 3.90s/it] {'lm_loss': '0.0002202', 'visual_loss': '3.039', 'seg_loss': '0.829', 'dino_loss': '0.9385', 'depth_loss': '0.2364', 'vggt_mse_loss': '0.2349', 'vggt_cos_loss': '0.01489', 'pidinet_loss': '0.2485', 'siglip_loss': '0.7864', 'epoch': '0.173'} + 53%|████████████████ | 4808/9000 [3:01:38<4:32:08, 3.90s/it][Dataset] cur_step=4809 phase=B_anchor_generation +[Dataset] cur_step=4809 phase=B_anchor_generation + 53%|████████████████ | 4809/9000 [3:01:38<5:26:23, 4.67s/it][Dataset] cur_step=4809 phase=B_anchor_generation +[Dataset] cur_step=4809 phase=B_anchor_generation[Dataset] cur_step=4809 phase=B_anchor_generation + +[Dataset] cur_step=4809 phase=B_anchor_generation +[Dataset] cur_step=4809 phase=B_anchor_generation +[Dataset] cur_step=4809 phase=B_anchor_generation + {'loss': '2.731', 'grad_norm': '1.214', 'learning_rate': '2.423e-05', 'epoch': '0.173'} + 53%|████████████████ | 4809/9000 [3:01:38<5:26:23, 4.67s/it] {'lm_loss': '0.000538', 'visual_loss': '2.539', 'seg_loss': '0.7104', 'dino_loss': '0.899', 'depth_loss': '0.2139', 'vggt_mse_loss': '0.2126', 'vggt_cos_loss': '0.01298', 'pidinet_loss': '0.1873', 'siglip_loss': '0.5288', 'epoch': '0.173'} + 53%|████████████████ | 4809/9000 [3:01:42<5:26:23, 4.67s/it][Dataset] cur_step=4810 phase=B_anchor_generation +[Dataset] cur_step=4810 phase=B_anchor_generation +[Dataset] cur_step=4810 phase=B_anchor_generation +[Dataset] cur_step=4810 phase=B_anchor_generation +[Dataset] cur_step=4810 phase=B_anchor_generation +[Dataset] cur_step=4810 phase=B_anchor_generation + 53%|████████████████ | 4810/9000 [3:01:42<5:07:52, 4.41s/it][Dataset] cur_step=4810 phase=B_anchor_generation +[Dataset] cur_step=4810 phase=B_anchor_generation + {'loss': '2.801', 'grad_norm': '1.799', 'learning_rate': '2.422e-05', 'epoch': '0.173'} + 53%|████████████████ | 4810/9000 [3:01:42<5:07:52, 4.41s/it] {'lm_loss': '0.0002174', 'visual_loss': '2.57', 'seg_loss': '0.7062', 'dino_loss': '0.8813', 'depth_loss': '0.2976', 'vggt_mse_loss': '0.2958', 'vggt_cos_loss': '0.01849', 'pidinet_loss': '0.2402', 'siglip_loss': '0.4448', 'epoch': '0.173'} + 53%|████████████████ | 4810/9000 [3:01:45<5:07:52, 4.41s/it][Dataset] cur_step=4811 phase=B_anchor_generation[Dataset] cur_step=4811 phase=B_anchor_generation + +[Dataset] cur_step=4811 phase=B_anchor_generation +[Dataset] cur_step=4811 phase=B_anchor_generation +[Dataset] cur_step=4811 phase=B_anchor_generation[Dataset] cur_step=4811 phase=B_anchor_generation + + 53%|████████████████ | 4811/9000 [3:01:46<4:55:19, 4.23s/it][Dataset] cur_step=4811 phase=B_anchor_generation +[Dataset] cur_step=4811 phase=B_anchor_generation + {'loss': '2.768', 'grad_norm': '1.405', 'learning_rate': '2.421e-05', 'epoch': '0.1731'} + 53%|████████████████ | 4811/9000 [3:01:46<4:55:19, 4.23s/it] {'lm_loss': '0.0002729', 'visual_loss': '2.615', 'seg_loss': '0.7362', 'dino_loss': '0.8934', 'depth_loss': '0.2731', 'vggt_mse_loss': '0.2713', 'vggt_cos_loss': '0.01856', 'pidinet_loss': '0.2218', 'siglip_loss': '0.4905', 'epoch': '0.1731'} + 53%|████████████████ | 4811/9000 [3:01:49<4:55:19, 4.23s/it][Dataset] cur_step=4812 phase=B_anchor_generation +[Dataset] cur_step=4812 phase=B_anchor_generation +[Dataset] cur_step=4812 phase=B_anchor_generation[Dataset] cur_step=4812 phase=B_anchor_generation + + 53%|████████████████ | 4812/9000 [3:01:50<4:54:19, 4.22s/it][Dataset] cur_step=4812 phase=B_anchor_generation +[Dataset] cur_step=4812 phase=B_anchor_generation +[Dataset] cur_step=4812 phase=B_anchor_generation +[Dataset] cur_step=4812 phase=B_anchor_generation + {'loss': '2.642', 'grad_norm': '1.531', 'learning_rate': '2.42e-05', 'epoch': '0.1731'} + 53%|████████████████ | 4812/9000 [3:01:50<4:54:19, 4.22s/it] {'lm_loss': '0.0002169', 'visual_loss': '2.704', 'seg_loss': '0.7551', 'dino_loss': '0.9106', 'depth_loss': '0.3083', 'vggt_mse_loss': '0.3058', 'vggt_cos_loss': '0.0249', 'pidinet_loss': '0.2205', 'siglip_loss': '0.5099', 'epoch': '0.1731'} + 53%|████████████████ | 4812/9000 [3:01:53<4:54:19, 4.22s/it][Dataset] cur_step=4813 phase=B_anchor_generation +[Dataset] cur_step=4813 phase=B_anchor_generation +[Dataset] cur_step=4813 phase=B_anchor_generation[Dataset] cur_step=4813 phase=B_anchor_generation + +[Dataset] cur_step=4813 phase=B_anchor_generation[Dataset] cur_step=4813 phase=B_anchor_generation + + 53%|████████████████ | 4813/9000 [3:01:54<4:56:15, 4.25s/it][Dataset] cur_step=4813 phase=B_anchor_generation +[Dataset] cur_step=4813 phase=B_anchor_generation + {'loss': '2.684', 'grad_norm': '1.441', 'learning_rate': '2.419e-05', 'epoch': '0.1731'} + 53%|████████████████ | 4813/9000 [3:01:54<4:56:15, 4.25s/it] {'lm_loss': '0.0003289', 'visual_loss': '2.827', 'seg_loss': '0.7078', 'dino_loss': '0.9159', 'depth_loss': '0.3142', 'vggt_mse_loss': '0.3122', 'vggt_cos_loss': '0.01983', 'pidinet_loss': '0.2651', 'siglip_loss': '0.6243', 'epoch': '0.1731'} + 53%|████████████████ | 4813/9000 [3:01:58<4:56:15, 4.25s/it][Dataset] cur_step=4814 phase=B_anchor_generation +[Dataset] cur_step=4814 phase=B_anchor_generation +[Dataset] cur_step=4814 phase=B_anchor_generation +[Dataset] cur_step=4814 phase=B_anchor_generation[Dataset] cur_step=4814 phase=B_anchor_generation + + 53%|████████████████ | 4814/9000 [3:01:59<5:00:58, 4.31s/it][Dataset] cur_step=4814 phase=B_anchor_generation +[Dataset] cur_step=4814 phase=B_anchor_generation +[Dataset] cur_step=4814 phase=B_anchor_generation + {'loss': '2.658', 'grad_norm': '1.621', 'learning_rate': '2.418e-05', 'epoch': '0.1732'} + 53%|████████████████ | 4814/9000 [3:01:59<5:00:58, 4.31s/it] {'lm_loss': '0.0003548', 'visual_loss': '2.772', 'seg_loss': '0.7339', 'dino_loss': '0.8623', 'depth_loss': '0.5323', 'vggt_mse_loss': '0.528', 'vggt_cos_loss': '0.04257', 'pidinet_loss': '0.219', 'siglip_loss': '0.4248', 'epoch': '0.1732'} + 53%|████████████████ | 4814/9000 [3:02:02<5:00:58, 4.31s/it][Dataset] cur_step=4815 phase=B_anchor_generation +[Dataset] cur_step=4815 phase=B_anchor_generation[Dataset] cur_step=4815 phase=B_anchor_generation + +[Dataset] cur_step=4815 phase=B_anchor_generation +[Dataset] cur_step=4815 phase=B_anchor_generation +[Dataset] cur_step=4815 phase=B_anchor_generation +[Dataset] cur_step=4815 phase=B_anchor_generation + 54%|████████████████ | 4815/9000 [3:02:02<4:45:47, 4.10s/it][Dataset] cur_step=4815 phase=B_anchor_generation + {'loss': '2.786', 'grad_norm': '1.376', 'learning_rate': '2.417e-05', 'epoch': '0.1732'} + 54%|████████████████ | 4815/9000 [3:02:02<4:45:47, 4.10s/it] {'lm_loss': '0.0002979', 'visual_loss': '3.181', 'seg_loss': '0.714', 'dino_loss': '0.9179', 'depth_loss': '0.3902', 'vggt_mse_loss': '0.3874', 'vggt_cos_loss': '0.02842', 'pidinet_loss': '0.285', 'siglip_loss': '0.8742', 'epoch': '0.1732'} + 54%|████████████████ | 4815/9000 [3:02:06<4:45:47, 4.10s/it][Dataset] cur_step=4816 phase=B_anchor_generation +[Dataset] cur_step=4816 phase=B_anchor_generation[Dataset] cur_step=4816 phase=B_anchor_generation +[Dataset] cur_step=4816 phase=B_anchor_generation + +[Dataset] cur_step=4816 phase=B_anchor_generation[Dataset] cur_step=4816 phase=B_anchor_generation + + 54%|████████████████ | 4816/9000 [3:02:06<4:39:53, 4.01s/it][Dataset] cur_step=4816 phase=B_anchor_generation +[Dataset] cur_step=4816 phase=B_anchor_generation + {'loss': '2.826', 'grad_norm': '1.501', 'learning_rate': '2.416e-05', 'epoch': '0.1733'} + 54%|████████████████ | 4816/9000 [3:02:06<4:39:53, 4.01s/it] {'lm_loss': '9.83e-05', 'visual_loss': '2.507', 'seg_loss': '0.7172', 'dino_loss': '0.8971', 'depth_loss': '0.2724', 'vggt_mse_loss': '0.2714', 'vggt_cos_loss': '0.01003', 'pidinet_loss': '0.2235', 'siglip_loss': '0.3966', 'epoch': '0.1733'} + 54%|████████████████ | 4816/9000 [3:02:10<4:39:53, 4.01s/it][Dataset] cur_step=4817 phase=B_anchor_generation +[Dataset] cur_step=4817 phase=B_anchor_generation +[Dataset] cur_step=4817 phase=B_anchor_generation +[Dataset] cur_step=4817 phase=B_anchor_generation + 54%|████████████████ | 4817/9000 [3:02:10<4:35:37, 3.95s/it][Dataset] cur_step=4817 phase=B_anchor_generation +[Dataset] cur_step=4817 phase=B_anchor_generation +[Dataset] cur_step=4817 phase=B_anchor_generation +[Dataset] cur_step=4817 phase=B_anchor_generation + {'loss': '2.642', 'grad_norm': '2.208', 'learning_rate': '2.416e-05', 'epoch': '0.1733'} + 54%|████████████████ | 4817/9000 [3:02:10<4:35:37, 3.95s/it] {'lm_loss': '0.0002253', 'visual_loss': '2.484', 'seg_loss': '0.6851', 'dino_loss': '0.9429', 'depth_loss': '0.2158', 'vggt_mse_loss': '0.2142', 'vggt_cos_loss': '0.01547', 'pidinet_loss': '0.1821', 'siglip_loss': '0.4578', 'epoch': '0.1733'} + 54%|████████████████ | 4817/9000 [3:02:13<4:35:37, 3.95s/it][Dataset] cur_step=4818 phase=B_anchor_generation +[Dataset] cur_step=4818 phase=B_anchor_generation[Dataset] cur_step=4818 phase=B_anchor_generation[Dataset] cur_step=4818 phase=B_anchor_generation + + +[Dataset] cur_step=4818 phase=B_anchor_generation +[Dataset] cur_step=4818 phase=B_anchor_generation[Dataset] cur_step=4818 phase=B_anchor_generation + + 54%|████████████████ | 4818/9000 [3:02:14<4:30:02, 3.87s/it][Dataset] cur_step=4818 phase=B_anchor_generation + {'loss': '2.719', 'grad_norm': '1.261', 'learning_rate': '2.415e-05', 'epoch': '0.1733'} + 54%|████████████████ | 4818/9000 [3:02:14<4:30:02, 3.87s/it] {'lm_loss': '0.0002289', 'visual_loss': '2.957', 'seg_loss': '0.8222', 'dino_loss': '0.9084', 'depth_loss': '0.2', 'vggt_mse_loss': '0.1987', 'vggt_cos_loss': '0.01319', 'pidinet_loss': '0.2281', 'siglip_loss': '0.7979', 'epoch': '0.1733'} + 54%|████████████████ | 4818/9000 [3:02:17<4:30:02, 3.87s/it][Dataset] cur_step=4819 phase=B_anchor_generation +[Dataset] cur_step=4819 phase=B_anchor_generation +[Dataset] cur_step=4819 phase=B_anchor_generation +[Dataset] cur_step=4819 phase=B_anchor_generation[Dataset] cur_step=4819 phase=B_anchor_generation + +[Dataset] cur_step=4819 phase=B_anchor_generation +[Dataset] cur_step=4819 phase=B_anchor_generation + 54%|████████████████ | 4819/9000 [3:02:18<4:34:26, 3.94s/it][Dataset] cur_step=4819 phase=B_anchor_generation + {'loss': '2.704', 'grad_norm': '1.695', 'learning_rate': '2.414e-05', 'epoch': '0.1734'} + 54%|████████████████ | 4819/9000 [3:02:18<4:34:26, 3.94s/it] {'lm_loss': '0.0001574', 'visual_loss': '2.654', 'seg_loss': '0.7385', 'dino_loss': '0.9257', 'depth_loss': '0.3139', 'vggt_mse_loss': '0.3113', 'vggt_cos_loss': '0.02628', 'pidinet_loss': '0.2228', 'siglip_loss': '0.4528', 'epoch': '0.1734'} + 54%|████████████████ | 4819/9000 [3:02:21<4:34:26, 3.94s/it][Dataset] cur_step=4820 phase=B_anchor_generation +[Dataset] cur_step=4820 phase=B_anchor_generation +[Dataset] cur_step=4820 phase=B_anchor_generation +[Dataset] cur_step=4820 phase=B_anchor_generation +[Dataset] cur_step=4820 phase=B_anchor_generation +[Dataset] cur_step=4820 phase=B_anchor_generation +[Dataset] cur_step=4820 phase=B_anchor_generation + 54%|████████████████ | 4820/9000 [3:02:21<4:28:18, 3.85s/it][Dataset] cur_step=4820 phase=B_anchor_generation + {'loss': '2.703', 'grad_norm': '1.855', 'learning_rate': '2.413e-05', 'epoch': '0.1734'} + 54%|████████████████ | 4820/9000 [3:02:21<4:28:18, 3.85s/it] {'lm_loss': '9.544e-05', 'visual_loss': '2.63', 'seg_loss': '0.7205', 'dino_loss': '0.915', 'depth_loss': '0.2313', 'vggt_mse_loss': '0.2295', 'vggt_cos_loss': '0.01704', 'pidinet_loss': '0.2423', 'siglip_loss': '0.521', 'epoch': '0.1734'} + 54%|████████████████ | 4820/9000 [3:02:25<4:28:18, 3.85s/it][Dataset] cur_step=4821 phase=B_anchor_generation +[Dataset] cur_step=4821 phase=B_anchor_generation +[Dataset] cur_step=4821 phase=B_anchor_generation +[Dataset] cur_step=4821 phase=B_anchor_generation +[Dataset] cur_step=4821 phase=B_anchor_generation +[Dataset] cur_step=4821 phase=B_anchor_generation + 54%|████████████████ | 4821/9000 [3:02:25<4:29:08, 3.86s/it][Dataset] cur_step=4821 phase=B_anchor_generation +[Dataset] cur_step=4821 phase=B_anchor_generation + {'loss': '2.7', 'grad_norm': '1.296', 'learning_rate': '2.412e-05', 'epoch': '0.1734'} + 54%|████████████████ | 4821/9000 [3:02:25<4:29:08, 3.86s/it] {'lm_loss': '9.869e-05', 'visual_loss': '2.863', 'seg_loss': '0.7612', 'dino_loss': '0.8846', 'depth_loss': '0.3165', 'vggt_mse_loss': '0.3142', 'vggt_cos_loss': '0.02369', 'pidinet_loss': '0.2725', 'siglip_loss': '0.6283', 'epoch': '0.1734'} + 54%|████████████████ | 4821/9000 [3:02:28<4:29:08, 3.86s/it][Dataset] cur_step=4822 phase=B_anchor_generation +[Dataset] cur_step=4822 phase=B_anchor_generation +[Dataset] cur_step=4822 phase=B_anchor_generation[Dataset] cur_step=4822 phase=B_anchor_generation + +[Dataset] cur_step=4822 phase=B_anchor_generation +[Dataset] cur_step=4822 phase=B_anchor_generation[Dataset] cur_step=4822 phase=B_anchor_generation 54%|████████████████ | 4822/9000 [3:02:29<4:27:53, 3.85s/it] + +[Dataset] cur_step=4822 phase=B_anchor_generation + {'loss': '2.713', 'grad_norm': '1.728', 'learning_rate': '2.411e-05', 'epoch': '0.1735'} + 54%|████████████████ | 4822/9000 [3:02:29<4:27:53, 3.85s/it] {'lm_loss': '0.0001561', 'visual_loss': '2.552', 'seg_loss': '0.7191', 'dino_loss': '0.8782', 'depth_loss': '0.292', 'vggt_mse_loss': '0.2907', 'vggt_cos_loss': '0.01289', 'pidinet_loss': '0.2388', 'siglip_loss': '0.4238', 'epoch': '0.1735'} + 54%|████████████████ | 4822/9000 [3:02:33<4:27:53, 3.85s/it][Dataset] cur_step=4823 phase=B_anchor_generation +[Dataset] cur_step=4823 phase=B_anchor_generation + 54%|████████████████ | 4823/9000 [3:02:33<4:32:33, 3.92s/it][Dataset] cur_step=4823 phase=B_anchor_generation +[Dataset] cur_step=4823 phase=B_anchor_generation +[Dataset] cur_step=4823 phase=B_anchor_generation +[Dataset] cur_step=4823 phase=B_anchor_generation +[Dataset] cur_step=4823 phase=B_anchor_generation +[Dataset] cur_step=4823 phase=B_anchor_generation + {'loss': '2.648', 'grad_norm': '1.18', 'learning_rate': '2.41e-05', 'epoch': '0.1735'} + 54%|████████████████ | 4823/9000 [3:02:33<4:32:33, 3.92s/it] {'lm_loss': '0.0001288', 'visual_loss': '2.669', 'seg_loss': '0.7265', 'dino_loss': '0.8957', 'depth_loss': '0.2249', 'vggt_mse_loss': '0.2236', 'vggt_cos_loss': '0.01308', 'pidinet_loss': '0.2152', 'siglip_loss': '0.6062', 'epoch': '0.1735'} + 54%|████████████████ | 4823/9000 [3:02:37<4:32:33, 3.92s/it][Dataset] cur_step=4824 phase=B_anchor_generation +[Dataset] cur_step=4824 phase=B_anchor_generation +[Dataset] cur_step=4824 phase=B_anchor_generation[Dataset] cur_step=4824 phase=B_anchor_generation + +[Dataset] cur_step=4824 phase=B_anchor_generation +[Dataset] cur_step=4824 phase=B_anchor_generation + 54%|████████████████ | 4824/9000 [3:02:37<4:33:51, 3.93s/it][Dataset] cur_step=4824 phase=B_anchor_generation +[Dataset] cur_step=4824 phase=B_anchor_generation + {'loss': '2.734', 'grad_norm': '1.538', 'learning_rate': '2.409e-05', 'epoch': '0.1735'} + 54%|████████████████ | 4824/9000 [3:02:37<4:33:51, 3.93s/it] {'lm_loss': '0.0001166', 'visual_loss': '2.774', 'seg_loss': '0.7912', 'dino_loss': '0.954', 'depth_loss': '0.231', 'vggt_mse_loss': '0.2293', 'vggt_cos_loss': '0.01667', 'pidinet_loss': '0.2407', 'siglip_loss': '0.5576', 'epoch': '0.1735'} + 54%|████████████████ | 4824/9000 [3:02:41<4:33:51, 3.93s/it][Dataset] cur_step=4825 phase=B_anchor_generation +[Dataset] cur_step=4825 phase=B_anchor_generation +[Dataset] cur_step=4825 phase=B_anchor_generation[Dataset] cur_step=4825 phase=B_anchor_generation[Dataset] cur_step=4825 phase=B_anchor_generation + + +[Dataset] cur_step=4825 phase=B_anchor_generation + 54%|████████████████ | 4825/9000 [3:02:41<4:33:14, 3.93s/it][Dataset] cur_step=4825 phase=B_anchor_generation +[Dataset] cur_step=4825 phase=B_anchor_generation + {'loss': '2.771', 'grad_norm': '1.463', 'learning_rate': '2.408e-05', 'epoch': '0.1736'} + 54%|████████████████ | 4825/9000 [3:02:41<4:33:14, 3.93s/it] {'lm_loss': '0.0001072', 'visual_loss': '2.249', 'seg_loss': '0.5993', 'dino_loss': '0.8866', 'depth_loss': '0.2536', 'vggt_mse_loss': '0.2523', 'vggt_cos_loss': '0.01233', 'pidinet_loss': '0.1529', 'siglip_loss': '0.357', 'epoch': '0.1736'} + 54%|████████████████ | 4825/9000 [3:02:45<4:33:14, 3.93s/it][Dataset] cur_step=4826 phase=B_anchor_generation +[Dataset] cur_step=4826 phase=B_anchor_generation + 54%|████████████████ | 4826/9000 [3:02:46<4:43:24, 4.07s/it][Dataset] cur_step=4826 phase=B_anchor_generation +[Dataset] cur_step=4826 phase=B_anchor_generation +[Dataset] cur_step=4826 phase=B_anchor_generation +[Dataset] cur_step=4826 phase=B_anchor_generation +[Dataset] cur_step=4826 phase=B_anchor_generation +[Dataset] cur_step=4826 phase=B_anchor_generation + {'loss': '2.583', 'grad_norm': '1.221', 'learning_rate': '2.407e-05', 'epoch': '0.1736'} + 54%|████████████████ | 4826/9000 [3:02:46<4:43:24, 4.07s/it] {'lm_loss': '7.822e-05', 'visual_loss': '2.862', 'seg_loss': '0.7948', 'dino_loss': '0.9341', 'depth_loss': '0.248', 'vggt_mse_loss': '0.2465', 'vggt_cos_loss': '0.01509', 'pidinet_loss': '0.2662', 'siglip_loss': '0.6187', 'epoch': '0.1736'} + 54%|████████████████ | 4826/9000 [3:02:49<4:43:24, 4.07s/it][Dataset] cur_step=4827 phase=B_anchor_generation +[Dataset] cur_step=4827 phase=B_anchor_generation[Dataset] cur_step=4827 phase=B_anchor_generation + +[Dataset] cur_step=4827 phase=B_anchor_generation +[Dataset] cur_step=4827 phase=B_anchor_generation +[Dataset] cur_step=4827 phase=B_anchor_generation +[Dataset] cur_step=4827 phase=B_anchor_generation +[Dataset] cur_step=4827 phase=B_anchor_generation + 54%|████████████████ | 4827/9000 [3:02:50<4:45:36, 4.11s/it] {'loss': '2.788', 'grad_norm': '3.824', 'learning_rate': '2.406e-05', 'epoch': '0.1737'} + 54%|████████████████ | 4827/9000 [3:02:50<4:45:36, 4.11s/it] {'lm_loss': '0.0001404', 'visual_loss': '2.774', 'seg_loss': '0.6171', 'dino_loss': '0.9199', 'depth_loss': '0.4163', 'vggt_mse_loss': '0.4128', 'vggt_cos_loss': '0.03501', 'pidinet_loss': '0.234', 'siglip_loss': '0.5872', 'epoch': '0.1737'} + 54%|████████████████ | 4827/9000 [3:02:54<4:45:36, 4.11s/it][Dataset] cur_step=4828 phase=B_anchor_generation +[Dataset] cur_step=4828 phase=B_anchor_generation +[Dataset] cur_step=4828 phase=B_anchor_generation +[Dataset] cur_step=4828 phase=B_anchor_generation +[Dataset] cur_step=4828 phase=B_anchor_generation[Dataset] cur_step=4828 phase=B_anchor_generation 54%|████████████████ | 4828/9000 [3:02:54<4:51:14, 4.19s/it] + +[Dataset] cur_step=4828 phase=B_anchor_generation +[Dataset] cur_step=4828 phase=B_anchor_generation + {'loss': '2.537', 'grad_norm': '1.267', 'learning_rate': '2.405e-05', 'epoch': '0.1737'} + 54%|████████████████ | 4828/9000 [3:02:54<4:51:14, 4.19s/it] {'lm_loss': '0.0001678', 'visual_loss': '2.758', 'seg_loss': '0.7323', 'dino_loss': '0.9309', 'depth_loss': '0.2356', 'vggt_mse_loss': '0.2338', 'vggt_cos_loss': '0.01825', 'pidinet_loss': '0.2395', 'siglip_loss': '0.6196', 'epoch': '0.1737'} + 54%|████████████████ | 4828/9000 [3:02:57<4:51:14, 4.19s/it][Dataset] cur_step=4829 phase=B_anchor_generation +[Dataset] cur_step=4829 phase=B_anchor_generation[Dataset] cur_step=4829 phase=B_anchor_generation + +[Dataset] cur_step=4829 phase=B_anchor_generation + 54%|████████████████ | 4829/9000 [3:02:58<4:48:06, 4.14s/it][Dataset] cur_step=4829 phase=B_anchor_generation[Dataset] cur_step=4829 phase=B_anchor_generation + +[Dataset] cur_step=4829 phase=B_anchor_generation +[Dataset] cur_step=4829 phase=B_anchor_generation + {'loss': '2.718', 'grad_norm': '1.179', 'learning_rate': '2.404e-05', 'epoch': '0.1737'} + 54%|████████████████ | 4829/9000 [3:02:58<4:48:06, 4.14s/it] {'lm_loss': '9.138e-05', 'visual_loss': '2.737', 'seg_loss': '0.7621', 'dino_loss': '0.9067', 'depth_loss': '0.2903', 'vggt_mse_loss': '0.2878', 'vggt_cos_loss': '0.02557', 'pidinet_loss': '0.2725', 'siglip_loss': '0.5057', 'epoch': '0.1737'} + 54%|████████████████ | 4829/9000 [3:03:01<4:48:06, 4.14s/it][Dataset] cur_step=4830 phase=B_anchor_generation[Dataset] cur_step=4830 phase=B_anchor_generation + +[Dataset] cur_step=4830 phase=B_anchor_generation +[Dataset] cur_step=4830 phase=B_anchor_generation +[Dataset] cur_step=4830 phase=B_anchor_generation[Dataset] cur_step=4830 phase=B_anchor_generation + + 54%|████████████████ | 4830/9000 [3:03:02<4:42:22, 4.06s/it][Dataset] cur_step=4830 phase=B_anchor_generation +[Dataset] cur_step=4830 phase=B_anchor_generation + {'loss': '2.687', 'grad_norm': '1.261', 'learning_rate': '2.404e-05', 'epoch': '0.1738'} + 54%|████████████████ | 4830/9000 [3:03:02<4:42:22, 4.06s/it] {'lm_loss': '0.0001036', 'visual_loss': '2.77', 'seg_loss': '0.8661', 'dino_loss': '0.9262', 'depth_loss': '0.2061', 'vggt_mse_loss': '0.2049', 'vggt_cos_loss': '0.01175', 'pidinet_loss': '0.2683', 'siglip_loss': '0.5027', 'epoch': '0.1738'} + 54%|████████████████ | 4830/9000 [3:03:05<4:42:22, 4.06s/it][Dataset] cur_step=4831 phase=B_anchor_generation +[Dataset] cur_step=4831 phase=B_anchor_generation[Dataset] cur_step=4831 phase=B_anchor_generation + +[Dataset] cur_step=4831 phase=B_anchor_generation 54%|████████████████ | 4831/9000 [3:03:06<4:36:32, 3.98s/it] +[Dataset] cur_step=4831 phase=B_anchor_generation +[Dataset] cur_step=4831 phase=B_anchor_generation +[Dataset] cur_step=4831 phase=B_anchor_generation +[Dataset] cur_step=4831 phase=B_anchor_generation + {'loss': '2.692', 'grad_norm': '6.865', 'learning_rate': '2.403e-05', 'epoch': '0.1738'} + 54%|████████████████ | 4831/9000 [3:03:06<4:36:32, 3.98s/it] {'lm_loss': '0.0001084', 'visual_loss': '2.905', 'seg_loss': '0.7827', 'dino_loss': '0.9248', 'depth_loss': '0.2594', 'vggt_mse_loss': '0.2578', 'vggt_cos_loss': '0.01671', 'pidinet_loss': '0.2407', 'siglip_loss': '0.6976', 'epoch': '0.1738'} + 54%|████████████████ | 4831/9000 [3:03:09<4:36:32, 3.98s/it][Dataset] cur_step=4832 phase=B_anchor_generation +[Dataset] cur_step=4832 phase=B_anchor_generation +[Dataset] cur_step=4832 phase=B_anchor_generation +[Dataset] cur_step=4832 phase=B_anchor_generation +[Dataset] cur_step=4832 phase=B_anchor_generation +[Dataset] cur_step=4832 phase=B_anchor_generation + 54%|████████████████ | 4832/9000 [3:03:10<4:41:37, 4.05s/it][Dataset] cur_step=4832 phase=B_anchor_generation +[Dataset] cur_step=4832 phase=B_anchor_generation + {'loss': '2.736', 'grad_norm': '1.741', 'learning_rate': '2.402e-05', 'epoch': '0.1738'} + 54%|████████████████ | 4832/9000 [3:03:10<4:41:37, 4.05s/it] {'lm_loss': '0.0003408', 'visual_loss': '2.708', 'seg_loss': '0.6996', 'dino_loss': '0.911', 'depth_loss': '0.2982', 'vggt_mse_loss': '0.2961', 'vggt_cos_loss': '0.02034', 'pidinet_loss': '0.1949', 'siglip_loss': '0.6046', 'epoch': '0.1738'} + 54%|████████████████ | 4832/9000 [3:03:14<4:41:37, 4.05s/it][Dataset] cur_step=4833 phase=B_anchor_generation + 54%|████████████████ | 4833/9000 [3:03:14<4:48:59, 4.16s/it][Dataset] cur_step=4833 phase=B_anchor_generation[Dataset] cur_step=4833 phase=B_anchor_generation + +[Dataset] cur_step=4833 phase=B_anchor_generation +[Dataset] cur_step=4833 phase=B_anchor_generation[Dataset] cur_step=4833 phase=B_anchor_generation + +[Dataset] cur_step=4833 phase=B_anchor_generation +[Dataset] cur_step=4833 phase=B_anchor_generation + {'loss': '2.572', 'grad_norm': '2.444', 'learning_rate': '2.401e-05', 'epoch': '0.1739'} + 54%|████████████████ | 4833/9000 [3:03:14<4:48:59, 4.16s/it] {'lm_loss': '0.0002251', 'visual_loss': '2.934', 'seg_loss': '0.7955', 'dino_loss': '0.8884', 'depth_loss': '0.2366', 'vggt_mse_loss': '0.2351', 'vggt_cos_loss': '0.01493', 'pidinet_loss': '0.216', 'siglip_loss': '0.7975', 'epoch': '0.1739'} + 54%|████████████████ | 4833/9000 [3:03:18<4:48:59, 4.16s/it][Dataset] cur_step=4834 phase=B_anchor_generation +[Dataset] cur_step=4834 phase=B_anchor_generation +[Dataset] cur_step=4834 phase=B_anchor_generation +[Dataset] cur_step=4834 phase=B_anchor_generation +[Dataset] cur_step=4834 phase=B_anchor_generation[Dataset] cur_step=4834 phase=B_anchor_generation + +[Dataset] cur_step=4834 phase=B_anchor_generation + 54%|████████████████ | 4834/9000 [3:03:18<4:44:07, 4.09s/it][Dataset] cur_step=4834 phase=B_anchor_generation + {'loss': '2.702', 'grad_norm': '1.658', 'learning_rate': '2.4e-05', 'epoch': '0.1739'} + 54%|████████████████ | 4834/9000 [3:03:18<4:44:07, 4.09s/it] {'lm_loss': '0.0002188', 'visual_loss': '2.785', 'seg_loss': '0.7248', 'dino_loss': '0.8833', 'depth_loss': '0.2233', 'vggt_mse_loss': '0.2217', 'vggt_cos_loss': '0.0168', 'pidinet_loss': '0.266', 'siglip_loss': '0.6876', 'epoch': '0.1739'} + 54%|████████████████ | 4834/9000 [3:03:21<4:44:07, 4.09s/it][Dataset] cur_step=4835 phase=B_anchor_generation +[Dataset] cur_step=4835 phase=B_anchor_generation[Dataset] cur_step=4835 phase=B_anchor_generation + +[Dataset] cur_step=4835 phase=B_anchor_generation +[Dataset] cur_step=4835 phase=B_anchor_generation +[Dataset] cur_step=4835 phase=B_anchor_generation +[Dataset] cur_step=4835 phase=B_anchor_generation + 54%|████████████████ | 4835/9000 [3:03:22<4:41:58, 4.06s/it][Dataset] cur_step=4835 phase=B_anchor_generation + {'loss': '2.836', 'grad_norm': '1.654', 'learning_rate': '2.399e-05', 'epoch': '0.1739'} + 54%|████████████████ | 4835/9000 [3:03:22<4:41:58, 4.06s/it] {'lm_loss': '0.0001764', 'visual_loss': '2.94', 'seg_loss': '0.8094', 'dino_loss': '0.9413', 'depth_loss': '0.2623', 'vggt_mse_loss': '0.2602', 'vggt_cos_loss': '0.02056', 'pidinet_loss': '0.2132', 'siglip_loss': '0.7136', 'epoch': '0.1739'} + 54%|████████████████ | 4835/9000 [3:03:25<4:41:58, 4.06s/it][Dataset] cur_step=4836 phase=B_anchor_generation +[Dataset] cur_step=4836 phase=B_anchor_generation +[Dataset] cur_step=4836 phase=B_anchor_generation[Dataset] cur_step=4836 phase=B_anchor_generation + +[Dataset] cur_step=4836 phase=B_anchor_generation +[Dataset] cur_step=4836 phase=B_anchor_generation 54%|████████████████ | 4836/9000 [3:03:29<5:24:25, 4.67s/it] +[Dataset] cur_step=4836 phase=B_anchor_generation +[Dataset] cur_step=4836 phase=B_anchor_generation + {'loss': '2.725', 'grad_norm': '2.479', 'learning_rate': '2.398e-05', 'epoch': '0.174'} + 54%|████████████████ | 4836/9000 [3:03:29<5:24:25, 4.67s/it] {'lm_loss': '0.0001644', 'visual_loss': '2.621', 'seg_loss': '0.7545', 'dino_loss': '0.9191', 'depth_loss': '0.2188', 'vggt_mse_loss': '0.2172', 'vggt_cos_loss': '0.01601', 'pidinet_loss': '0.1965', 'siglip_loss': '0.5317', 'epoch': '0.174'} + 54%|████████████████ | 4836/9000 [3:03:31<5:24:25, 4.67s/it][Dataset] cur_step=4837 phase=B_anchor_generation[Dataset] cur_step=4837 phase=B_anchor_generation + +[Dataset] cur_step=4837 phase=B_anchor_generation +[Dataset] cur_step=4837 phase=B_anchor_generation +[Dataset] cur_step=4837 phase=B_anchor_generation +[Dataset] cur_step=4837 phase=B_anchor_generation +[Dataset] cur_step=4837 phase=B_anchor_generation + 54%|████████████████ | 4837/9000 [3:03:32<5:05:43, 4.41s/it][Dataset] cur_step=4837 phase=B_anchor_generation + {'loss': '2.693', 'grad_norm': '1.872', 'learning_rate': '2.397e-05', 'epoch': '0.174'} + 54%|████████████████ | 4837/9000 [3:03:32<5:05:43, 4.41s/it] {'lm_loss': '0.0001459', 'visual_loss': '2.492', 'seg_loss': '0.6885', 'dino_loss': '0.8951', 'depth_loss': '0.2098', 'vggt_mse_loss': '0.2085', 'vggt_cos_loss': '0.01337', 'pidinet_loss': '0.1266', 'siglip_loss': '0.5715', 'epoch': '0.174'} + 54%|████████████████ | 4837/9000 [3:03:36<5:05:43, 4.41s/it][Dataset] cur_step=4838 phase=B_anchor_generation[Dataset] cur_step=4838 phase=B_anchor_generation + +[Dataset] cur_step=4838 phase=B_anchor_generation[Dataset] cur_step=4838 phase=B_anchor_generation + +[Dataset] cur_step=4838 phase=B_anchor_generation[Dataset] cur_step=4838 phase=B_anchor_generation[Dataset] cur_step=4838 phase=B_anchor_generation + + + 54%|████████████████▏ | 4838/9000 [3:03:36<4:52:49, 4.22s/it][Dataset] cur_step=4838 phase=B_anchor_generation + {'loss': '2.651', 'grad_norm': '1.52', 'learning_rate': '2.396e-05', 'epoch': '0.174'} + 54%|████████████████▏ | 4838/9000 [3:03:36<4:52:49, 4.22s/it] {'lm_loss': '0.0001191', 'visual_loss': '2.591', 'seg_loss': '0.7307', 'dino_loss': '0.8985', 'depth_loss': '0.2241', 'vggt_mse_loss': '0.2225', 'vggt_cos_loss': '0.01597', 'pidinet_loss': '0.2125', 'siglip_loss': '0.5256', 'epoch': '0.174'} + 54%|████████████████▏ | 4838/9000 [3:03:40<4:52:49, 4.22s/it][Dataset] cur_step=4839 phase=B_anchor_generation + 54%|████████████████▏ | 4839/9000 [3:03:40<4:48:24, 4.16s/it][Dataset] cur_step=4839 phase=B_anchor_generation +[Dataset] cur_step=4839 phase=B_anchor_generation +[Dataset] cur_step=4839 phase=B_anchor_generation[Dataset] cur_step=4839 phase=B_anchor_generation + +[Dataset] cur_step=4839 phase=B_anchor_generation +[Dataset] cur_step=4839 phase=B_anchor_generation +[Dataset] cur_step=4839 phase=B_anchor_generation + {'loss': '2.703', 'grad_norm': '1.614', 'learning_rate': '2.395e-05', 'epoch': '0.1741'} + 54%|████████████████▏ | 4839/9000 [3:03:40<4:48:24, 4.16s/it] {'lm_loss': '9.551e-05', 'visual_loss': '2.748', 'seg_loss': '0.6665', 'dino_loss': '0.9054', 'depth_loss': '0.4995', 'vggt_mse_loss': '0.4954', 'vggt_cos_loss': '0.04086', 'pidinet_loss': '0.2443', 'siglip_loss': '0.4326', 'epoch': '0.1741'} + 54%|████████████████▏ | 4839/9000 [3:03:43<4:48:24, 4.16s/it][Dataset] cur_step=4840 phase=B_anchor_generation +[Dataset] cur_step=4840 phase=B_anchor_generation[Dataset] cur_step=4840 phase=B_anchor_generation + +[Dataset] cur_step=4840 phase=B_anchor_generation +[Dataset] cur_step=4840 phase=B_anchor_generation +[Dataset] cur_step=4840 phase=B_anchor_generation + 54%|████████████████▏ | 4840/9000 [3:03:47<5:35:58, 4.85s/it][Dataset] cur_step=4840 phase=B_anchor_generation +[Dataset] cur_step=4840 phase=B_anchor_generation + {'loss': '2.771', 'grad_norm': '8.395', 'learning_rate': '2.394e-05', 'epoch': '0.1741'} + 54%|████████████████▏ | 4840/9000 [3:03:47<5:35:58, 4.85s/it] {'lm_loss': '0.0001139', 'visual_loss': '2.703', 'seg_loss': '0.788', 'dino_loss': '0.9032', 'depth_loss': '0.1986', 'vggt_mse_loss': '0.1974', 'vggt_cos_loss': '0.01203', 'pidinet_loss': '0.1794', 'siglip_loss': '0.6339', 'epoch': '0.1741'} + 54%|████████████████▏ | 4840/9000 [3:03:50<5:35:58, 4.85s/it][Dataset] cur_step=4841 phase=B_anchor_generation[Dataset] cur_step=4841 phase=B_anchor_generation + +[Dataset] cur_step=4841 phase=B_anchor_generation +[Dataset] cur_step=4841 phase=B_anchor_generation[Dataset] cur_step=4841 phase=B_anchor_generation + +[Dataset] cur_step=4841 phase=B_anchor_generation +[Dataset] cur_step=4841 phase=B_anchor_generation + 54%|████████████████▏ | 4841/9000 [3:03:50<5:12:40, 4.51s/it][Dataset] cur_step=4841 phase=B_anchor_generation + {'loss': '2.794', 'grad_norm': '1.309', 'learning_rate': '2.393e-05', 'epoch': '0.1742'} + 54%|████████████████▏ | 4841/9000 [3:03:50<5:12:40, 4.51s/it] {'lm_loss': '0.0001726', 'visual_loss': '2.444', 'seg_loss': '0.7087', 'dino_loss': '0.9021', 'depth_loss': '0.2296', 'vggt_mse_loss': '0.2281', 'vggt_cos_loss': '0.0149', 'pidinet_loss': '0.2089', 'siglip_loss': '0.3951', 'epoch': '0.1742'} + 54%|████████████████▏ | 4841/9000 [3:03:54<5:12:40, 4.51s/it][Dataset] cur_step=4842 phase=B_anchor_generation +[Dataset] cur_step=4842 phase=B_anchor_generation +[Dataset] cur_step=4842 phase=B_anchor_generation +[Dataset] cur_step=4842 phase=B_anchor_generation +[Dataset] cur_step=4842 phase=B_anchor_generation +[Dataset] cur_step=4842 phase=B_anchor_generation +[Dataset] cur_step=4842 phase=B_anchor_generation + 54%|████████████████▏ | 4842/9000 [3:03:55<5:14:17, 4.54s/it][Dataset] cur_step=4842 phase=B_anchor_generation + {'loss': '2.644', 'grad_norm': '5.325', 'learning_rate': '2.393e-05', 'epoch': '0.1742'} + 54%|████████████████▏ | 4842/9000 [3:03:55<5:14:17, 4.54s/it] {'lm_loss': '6.492e-05', 'visual_loss': '2.776', 'seg_loss': '0.7853', 'dino_loss': '0.9135', 'depth_loss': '0.2464', 'vggt_mse_loss': '0.2444', 'vggt_cos_loss': '0.02069', 'pidinet_loss': '0.2372', 'siglip_loss': '0.5935', 'epoch': '0.1742'} + 54%|████████████████▏ | 4842/9000 [3:03:58<5:14:17, 4.54s/it][Dataset] cur_step=4843 phase=B_anchor_generation +[Dataset] cur_step=4843 phase=B_anchor_generation[Dataset] cur_step=4843 phase=B_anchor_generation + +[Dataset] cur_step=4843 phase=B_anchor_generation +[Dataset] cur_step=4843 phase=B_anchor_generation +[Dataset] cur_step=4843 phase=B_anchor_generation +[Dataset] cur_step=4843 phase=B_anchor_generation +[Dataset] cur_step=4843 phase=B_anchor_generation + 54%|████████████████▏ | 4843/9000 [3:03:59<5:07:48, 4.44s/it] {'loss': '2.742', 'grad_norm': '2.935', 'learning_rate': '2.392e-05', 'epoch': '0.1742'} + 54%|████████████████▏ | 4843/9000 [3:03:59<5:07:48, 4.44s/it] {'lm_loss': '0.0006667', 'visual_loss': '3.037', 'seg_loss': '0.8445', 'dino_loss': '0.929', 'depth_loss': '0.2276', 'vggt_mse_loss': '0.226', 'vggt_cos_loss': '0.01593', 'pidinet_loss': '0.2519', 'siglip_loss': '0.7846', 'epoch': '0.1742'} + 54%|████████████████▏ | 4843/9000 [3:04:02<5:07:48, 4.44s/it][Dataset] cur_step=4844 phase=B_anchor_generation[Dataset] cur_step=4844 phase=B_anchor_generation + +[Dataset] cur_step=4844 phase=B_anchor_generation +[Dataset] cur_step=4844 phase=B_anchor_generation +[Dataset] cur_step=4844 phase=B_anchor_generation +[Dataset] cur_step=4844 phase=B_anchor_generation +[Dataset] cur_step=4844 phase=B_anchor_generation + 54%|████████████████▏ | 4844/9000 [3:04:03<4:54:43, 4.25s/it][Dataset] cur_step=4844 phase=B_anchor_generation + {'loss': '2.841', 'grad_norm': '7.913', 'learning_rate': '2.391e-05', 'epoch': '0.1743'} + 54%|████████████████▏ | 4844/9000 [3:04:03<4:54:43, 4.25s/it] {'lm_loss': '0.0001135', 'visual_loss': '2.821', 'seg_loss': '0.7627', 'dino_loss': '0.922', 'depth_loss': '0.2067', 'vggt_mse_loss': '0.2052', 'vggt_cos_loss': '0.01542', 'pidinet_loss': '0.2742', 'siglip_loss': '0.6554', 'epoch': '0.1743'} + 54%|████████████████▏ | 4844/9000 [3:04:06<4:54:43, 4.25s/it][Dataset] cur_step=4845 phase=B_anchor_generation +[Dataset] cur_step=4845 phase=B_anchor_generation +[Dataset] cur_step=4845 phase=B_anchor_generation +[Dataset] cur_step=4845 phase=B_anchor_generation 54%|████████████████▏ | 4845/9000 [3:04:07<4:46:09, 4.13s/it] +[Dataset] cur_step=4845 phase=B_anchor_generation[Dataset] cur_step=4845 phase=B_anchor_generation + +[Dataset] cur_step=4845 phase=B_anchor_generation +[Dataset] cur_step=4845 phase=B_anchor_generation + {'loss': '2.79', 'grad_norm': '1.429', 'learning_rate': '2.39e-05', 'epoch': '0.1743'} + 54%|████████████████▏ | 4845/9000 [3:04:07<4:46:09, 4.13s/it] {'lm_loss': '0.0002556', 'visual_loss': '2.704', 'seg_loss': '0.6959', 'dino_loss': '0.9174', 'depth_loss': '0.2808', 'vggt_mse_loss': '0.2784', 'vggt_cos_loss': '0.02396', 'pidinet_loss': '0.2158', 'siglip_loss': '0.5939', 'epoch': '0.1743'} + 54%|████████████████▏ | 4845/9000 [3:04:10<4:46:09, 4.13s/it][Dataset] cur_step=4846 phase=B_anchor_generation +[Dataset] cur_step=4846 phase=B_anchor_generation +[Dataset] cur_step=4846 phase=B_anchor_generation[Dataset] cur_step=4846 phase=B_anchor_generation + +[Dataset] cur_step=4846 phase=B_anchor_generation[Dataset] cur_step=4846 phase=B_anchor_generation + +[Dataset] cur_step=4846 phase=B_anchor_generation + 54%|████████████████▏ | 4846/9000 [3:04:11<4:50:32, 4.20s/it][Dataset] cur_step=4846 phase=B_anchor_generation + {'loss': '2.58', 'grad_norm': '1.485', 'learning_rate': '2.389e-05', 'epoch': '0.1743'} + 54%|████████████████▏ | 4846/9000 [3:04:11<4:50:32, 4.20s/it] {'lm_loss': '8.497e-05', 'visual_loss': '3.163', 'seg_loss': '0.7999', 'dino_loss': '0.9471', 'depth_loss': '0.3112', 'vggt_mse_loss': '0.3089', 'vggt_cos_loss': '0.02317', 'pidinet_loss': '0.2886', 'siglip_loss': '0.8165', 'epoch': '0.1743'} + 54%|████████████████▏ | 4846/9000 [3:04:17<4:50:32, 4.20s/it][Dataset] cur_step=4847 phase=B_anchor_generation +[Dataset] cur_step=4847 phase=B_anchor_generation +[Dataset] cur_step=4847 phase=B_anchor_generation +[Dataset] cur_step=4847 phase=B_anchor_generation +[Dataset] cur_step=4847 phase=B_anchor_generation +[Dataset] cur_step=4847 phase=B_anchor_generation + 54%|████████████████▏ | 4847/9000 [3:04:20<6:25:08, 5.56s/it][Dataset] cur_step=4847 phase=B_anchor_generation +[Dataset] cur_step=4847 phase=B_anchor_generation + {'loss': '2.811', 'grad_norm': '2.562', 'learning_rate': '2.388e-05', 'epoch': '0.1744'} + 54%|████████████████▏ | 4847/9000 [3:04:20<6:25:08, 5.56s/it] {'lm_loss': '0.000165', 'visual_loss': '2.789', 'seg_loss': '0.7694', 'dino_loss': '0.9144', 'depth_loss': '0.222', 'vggt_mse_loss': '0.2203', 'vggt_cos_loss': '0.01669', 'pidinet_loss': '0.2728', 'siglip_loss': '0.6106', 'epoch': '0.1744'} + 54%|████████████████▏ | 4847/9000 [3:04:23<6:25:08, 5.56s/it][Dataset] cur_step=4848 phase=B_anchor_generation +[Dataset] cur_step=4848 phase=B_anchor_generation +[Dataset] cur_step=4848 phase=B_anchor_generation +[Dataset] cur_step=4848 phase=B_anchor_generation +[Dataset] cur_step=4848 phase=B_anchor_generation +[Dataset] cur_step=4848 phase=B_anchor_generation +[Dataset] cur_step=4848 phase=B_anchor_generation + 54%|████████████████▏ | 4848/9000 [3:04:24<5:51:37, 5.08s/it][Dataset] cur_step=4848 phase=B_anchor_generation + {'loss': '2.677', 'grad_norm': '1.523', 'learning_rate': '2.387e-05', 'epoch': '0.1744'} + 54%|████████████████▏ | 4848/9000 [3:04:24<5:51:37, 5.08s/it] {'lm_loss': '0.0001345', 'visual_loss': '2.92', 'seg_loss': '0.8', 'dino_loss': '0.9447', 'depth_loss': '0.3548', 'vggt_mse_loss': '0.3519', 'vggt_cos_loss': '0.02893', 'pidinet_loss': '0.1989', 'siglip_loss': '0.6216', 'epoch': '0.1744'} + 54%|████████████████▏ | 4848/9000 [3:04:27<5:51:37, 5.08s/it][Dataset] cur_step=4849 phase=B_anchor_generation +[Dataset] cur_step=4849 phase=B_anchor_generation +[Dataset] cur_step=4849 phase=B_anchor_generation +[Dataset] cur_step=4849 phase=B_anchor_generation +[Dataset] cur_step=4849 phase=B_anchor_generation +[Dataset] cur_step=4849 phase=B_anchor_generation +[Dataset] cur_step=4849 phase=B_anchor_generation 54%|████████████████▏ | 4849/9000 [3:04:28<5:34:17, 4.83s/it] +[Dataset] cur_step=4849 phase=B_anchor_generation + {'loss': '2.758', 'grad_norm': '1.411', 'learning_rate': '2.386e-05', 'epoch': '0.1744'} + 54%|████████████████▏ | 4849/9000 [3:04:28<5:34:17, 4.83s/it] {'lm_loss': '0.000157', 'visual_loss': '2.752', 'seg_loss': '0.8455', 'dino_loss': '0.917', 'depth_loss': '0.215', 'vggt_mse_loss': '0.2136', 'vggt_cos_loss': '0.0149', 'pidinet_loss': '0.2545', 'siglip_loss': '0.5199', 'epoch': '0.1744'} + 54%|████████████████▏ | 4849/9000 [3:04:31<5:34:17, 4.83s/it][Dataset] cur_step=4850 phase=B_anchor_generation +[Dataset] cur_step=4850 phase=B_anchor_generation[Dataset] cur_step=4850 phase=B_anchor_generation + +[Dataset] cur_step=4850 phase=B_anchor_generation +[Dataset] cur_step=4850 phase=B_anchor_generation[Dataset] cur_step=4850 phase=B_anchor_generation + + 54%|████████████████▏ | 4850/9000 [3:04:32<5:20:17, 4.63s/it][Dataset] cur_step=4850 phase=B_anchor_generation +[Dataset] cur_step=4850 phase=B_anchor_generation + {'loss': '2.71', 'grad_norm': '3.089', 'learning_rate': '2.385e-05', 'epoch': '0.1745'} + 54%|████████████████▏ | 4850/9000 [3:04:32<5:20:17, 4.63s/it] {'lm_loss': '0.0002433', 'visual_loss': '2.912', 'seg_loss': '0.7985', 'dino_loss': '0.8978', 'depth_loss': '0.2552', 'vggt_mse_loss': '0.2532', 'vggt_cos_loss': '0.01996', 'pidinet_loss': '0.2863', 'siglip_loss': '0.674', 'epoch': '0.1745'} + 54%|████████████████▏ | 4850/9000 [3:04:35<5:20:17, 4.63s/it][Dataset] cur_step=4851 phase=B_anchor_generation +[Dataset] cur_step=4851 phase=B_anchor_generation +[Dataset] cur_step=4851 phase=B_anchor_generation +[Dataset] cur_step=4851 phase=B_anchor_generation +[Dataset] cur_step=4851 phase=B_anchor_generation +[Dataset] cur_step=4851 phase=B_anchor_generation 54%|████████████████▏ | 4851/9000 [3:04:39<5:56:42, 5.16s/it] +[Dataset] cur_step=4851 phase=B_anchor_generation +[Dataset] cur_step=4851 phase=B_anchor_generation + {'loss': '2.67', 'grad_norm': '1.456', 'learning_rate': '2.384e-05', 'epoch': '0.1745'} + 54%|████████████████▏ | 4851/9000 [3:04:39<5:56:42, 5.16s/it] {'lm_loss': '0.0003449', 'visual_loss': '2.575', 'seg_loss': '0.702', 'dino_loss': '0.9067', 'depth_loss': '0.3158', 'vggt_mse_loss': '0.314', 'vggt_cos_loss': '0.01788', 'pidinet_loss': '0.2444', 'siglip_loss': '0.4063', 'epoch': '0.1745'} + 54%|████████████████▏ | 4851/9000 [3:04:42<5:56:42, 5.16s/it][Dataset] cur_step=4852 phase=B_anchor_generation[Dataset] cur_step=4852 phase=B_anchor_generation + +[Dataset] cur_step=4852 phase=B_anchor_generation +[Dataset] cur_step=4852 phase=B_anchor_generation + 54%|████████████████▏ | 4852/9000 [3:04:44<6:09:02, 5.34s/it][Dataset] cur_step=4852 phase=B_anchor_generation +[Dataset] cur_step=4852 phase=B_anchor_generation +[Dataset] cur_step=4852 phase=B_anchor_generation +[Dataset] cur_step=4852 phase=B_anchor_generation + {'loss': '2.646', 'grad_norm': '1.777', 'learning_rate': '2.383e-05', 'epoch': '0.1746'} + 54%|████████████████▏ | 4852/9000 [3:04:44<6:09:02, 5.34s/it] {'lm_loss': '0.0002755', 'visual_loss': '2.595', 'seg_loss': '0.6908', 'dino_loss': '0.9021', 'depth_loss': '0.3109', 'vggt_mse_loss': '0.3087', 'vggt_cos_loss': '0.02185', 'pidinet_loss': '0.2215', 'siglip_loss': '0.4697', 'epoch': '0.1746'} + 54%|████████████████▏ | 4852/9000 [3:04:48<6:09:02, 5.34s/it][Dataset] cur_step=4853 phase=B_anchor_generation +[Dataset] cur_step=4853 phase=B_anchor_generation +[Dataset] cur_step=4853 phase=B_anchor_generation +[Dataset] cur_step=4853 phase=B_anchor_generation + 54%|████████████████▏ | 4853/9000 [3:04:48<5:42:15, 4.95s/it][Dataset] cur_step=4853 phase=B_anchor_generation +[Dataset] cur_step=4853 phase=B_anchor_generation[Dataset] cur_step=4853 phase=B_anchor_generation + +[Dataset] cur_step=4853 phase=B_anchor_generation + {'loss': '2.714', 'grad_norm': '2.786', 'learning_rate': '2.382e-05', 'epoch': '0.1746'} + 54%|████████████████▏ | 4853/9000 [3:04:48<5:42:15, 4.95s/it] {'lm_loss': '0.0002648', 'visual_loss': '2.584', 'seg_loss': '0.6151', 'dino_loss': '0.9063', 'depth_loss': '0.291', 'vggt_mse_loss': '0.2891', 'vggt_cos_loss': '0.0181', 'pidinet_loss': '0.2169', 'siglip_loss': '0.5544', 'epoch': '0.1746'} + 54%|████████████████▏ | 4853/9000 [3:04:52<5:42:15, 4.95s/it][Dataset] cur_step=4854 phase=B_anchor_generation +[Dataset] cur_step=4854 phase=B_anchor_generation[Dataset] cur_step=4854 phase=B_anchor_generation + +[Dataset] cur_step=4854 phase=B_anchor_generation +[Dataset] cur_step=4854 phase=B_anchor_generation +[Dataset] cur_step=4854 phase=B_anchor_generation[Dataset] cur_step=4854 phase=B_anchor_generation + + 54%|████████████████▏ | 4854/9000 [3:04:52<5:21:14, 4.65s/it][Dataset] cur_step=4854 phase=B_anchor_generation + {'loss': '2.678', 'grad_norm': '10.22', 'learning_rate': '2.382e-05', 'epoch': '0.1746'} + 54%|████████████████▏ | 4854/9000 [3:04:52<5:21:14, 4.65s/it] {'lm_loss': '0.0001396', 'visual_loss': '2.86', 'seg_loss': '0.7285', 'dino_loss': '0.9239', 'depth_loss': '0.2486', 'vggt_mse_loss': '0.2467', 'vggt_cos_loss': '0.01844', 'pidinet_loss': '0.2759', 'siglip_loss': '0.683', 'epoch': '0.1746'} + 54%|████████████████▏ | 4854/9000 [3:04:55<5:21:14, 4.65s/it][Dataset] cur_step=4855 phase=B_anchor_generation +[Dataset] cur_step=4855 phase=B_anchor_generation +[Dataset] cur_step=4855 phase=B_anchor_generation +[Dataset] cur_step=4855 phase=B_anchor_generation +[Dataset] cur_step=4855 phase=B_anchor_generation +[Dataset] cur_step=4855 phase=B_anchor_generation + 54%|████████████████▏ | 4855/9000 [3:04:56<5:00:05, 4.34s/it][Dataset] cur_step=4855 phase=B_anchor_generation +[Dataset] cur_step=4855 phase=B_anchor_generation + {'loss': '2.742', 'grad_norm': '1.392', 'learning_rate': '2.381e-05', 'epoch': '0.1747'} + 54%|████████████████▏ | 4855/9000 [3:04:56<5:00:05, 4.34s/it] {'lm_loss': '0.0004086', 'visual_loss': '2.802', 'seg_loss': '0.7862', 'dino_loss': '0.9116', 'depth_loss': '0.2623', 'vggt_mse_loss': '0.2603', 'vggt_cos_loss': '0.0196', 'pidinet_loss': '0.2001', 'siglip_loss': '0.6421', 'epoch': '0.1747'} + 54%|████████████████▏ | 4855/9000 [3:04:59<5:00:05, 4.34s/it][Dataset] cur_step=4856 phase=B_anchor_generation +[Dataset] cur_step=4856 phase=B_anchor_generation +[Dataset] cur_step=4856 phase=B_anchor_generation +[Dataset] cur_step=4856 phase=B_anchor_generation[Dataset] cur_step=4856 phase=B_anchor_generation + +[Dataset] cur_step=4856 phase=B_anchor_generation[Dataset] cur_step=4856 phase=B_anchor_generation 54%|████████████████▏ | 4856/9000 [3:05:00<4:45:15, 4.13s/it] + +[Dataset] cur_step=4856 phase=B_anchor_generation + {'loss': '2.752', 'grad_norm': '2.273', 'learning_rate': '2.38e-05', 'epoch': '0.1747'} + 54%|████████████████▏ | 4856/9000 [3:05:00<4:45:15, 4.13s/it] {'lm_loss': '0.0004244', 'visual_loss': '2.492', 'seg_loss': '0.6091', 'dino_loss': '0.9092', 'depth_loss': '0.2517', 'vggt_mse_loss': '0.2499', 'vggt_cos_loss': '0.01807', 'pidinet_loss': '0.2263', 'siglip_loss': '0.4959', 'epoch': '0.1747'} + 54%|████████████████▏ | 4856/9000 [3:05:03<4:45:15, 4.13s/it][Dataset] cur_step=4857 phase=B_anchor_generation +[Dataset] cur_step=4857 phase=B_anchor_generation + 54%|████████████████▏ | 4857/9000 [3:05:03<4:39:59, 4.05s/it][Dataset] cur_step=4857 phase=B_anchor_generation +[Dataset] cur_step=4857 phase=B_anchor_generation +[Dataset] cur_step=4857 phase=B_anchor_generation[Dataset] cur_step=4857 phase=B_anchor_generation + +[Dataset] cur_step=4857 phase=B_anchor_generation +[Dataset] cur_step=4857 phase=B_anchor_generation + {'loss': '2.726', 'grad_norm': '4.465', 'learning_rate': '2.379e-05', 'epoch': '0.1747'} + 54%|████████████████▏ | 4857/9000 [3:05:03<4:39:59, 4.05s/it] {'lm_loss': '0.0007364', 'visual_loss': '2.819', 'seg_loss': '0.8023', 'dino_loss': '0.9001', 'depth_loss': '0.2628', 'vggt_mse_loss': '0.2609', 'vggt_cos_loss': '0.01905', 'pidinet_loss': '0.2937', 'siglip_loss': '0.5601', 'epoch': '0.1747'} + 54%|████████████████▏ | 4857/9000 [3:05:06<4:39:59, 4.05s/it][Dataset] cur_step=4858 phase=B_anchor_generation +[Dataset] cur_step=4858 phase=B_anchor_generation +[Dataset] cur_step=4858 phase=B_anchor_generation +[Dataset] cur_step=4858 phase=B_anchor_generation +[Dataset] cur_step=4858 phase=B_anchor_generation +[Dataset] cur_step=4858 phase=B_anchor_generation +[Dataset] cur_step=4858 phase=B_anchor_generation +[Dataset] cur_step=4858 phase=B_anchor_generation + 54%|████████████████▏ | 4858/9000 [3:05:08<4:40:08, 4.06s/it] {'loss': '2.73', 'grad_norm': '2.654', 'learning_rate': '2.378e-05', 'epoch': '0.1748'} + 54%|████████████████▏ | 4858/9000 [3:05:08<4:40:08, 4.06s/it] {'lm_loss': '0.0001436', 'visual_loss': '2.665', 'seg_loss': '0.8067', 'dino_loss': '0.9236', 'depth_loss': '0.2302', 'vggt_mse_loss': '0.2287', 'vggt_cos_loss': '0.01529', 'pidinet_loss': '0.2555', 'siglip_loss': '0.4487', 'epoch': '0.1748'} + 54%|████████████████▏ | 4858/9000 [3:05:11<4:40:08, 4.06s/it][Dataset] cur_step=4859 phase=B_anchor_generation +[Dataset] cur_step=4859 phase=B_anchor_generation +[Dataset] cur_step=4859 phase=B_anchor_generation[Dataset] cur_step=4859 phase=B_anchor_generation[Dataset] cur_step=4859 phase=B_anchor_generation + + + 54%|████████████████▏ | 4859/9000 [3:05:12<4:41:53, 4.08s/it][Dataset] cur_step=4859 phase=B_anchor_generation +[Dataset] cur_step=4859 phase=B_anchor_generation +[Dataset] cur_step=4859 phase=B_anchor_generation + {'loss': '2.664', 'grad_norm': '1.635', 'learning_rate': '2.377e-05', 'epoch': '0.1748'} + 54%|████████████████▏ | 4859/9000 [3:05:12<4:41:53, 4.08s/it] {'lm_loss': '0.000121', 'visual_loss': '2.956', 'seg_loss': '0.7572', 'dino_loss': '0.9403', 'depth_loss': '0.2634', 'vggt_mse_loss': '0.2613', 'vggt_cos_loss': '0.02118', 'pidinet_loss': '0.1595', 'siglip_loss': '0.8357', 'epoch': '0.1748'} + 54%|████████████████▏ | 4859/9000 [3:05:15<4:41:53, 4.08s/it][Dataset] cur_step=4860 phase=B_anchor_generation +[Dataset] cur_step=4860 phase=B_anchor_generation +[Dataset] cur_step=4860 phase=B_anchor_generation +[Dataset] cur_step=4860 phase=B_anchor_generation[Dataset] cur_step=4860 phase=B_anchor_generation +[Dataset] cur_step=4860 phase=B_anchor_generation + + 54%|████████████████▏ | 4860/9000 [3:05:16<4:43:32, 4.11s/it][Dataset] cur_step=4860 phase=B_anchor_generation +[Dataset] cur_step=4860 phase=B_anchor_generation + {'loss': '2.668', 'grad_norm': '1.223', 'learning_rate': '2.376e-05', 'epoch': '0.1748'} + 54%|████████████████▏ | 4860/9000 [3:05:16<4:43:32, 4.11s/it] {'lm_loss': '0.0001008', 'visual_loss': '2.601', 'seg_loss': '0.6948', 'dino_loss': '0.8965', 'depth_loss': '0.2988', 'vggt_mse_loss': '0.2974', 'vggt_cos_loss': '0.01401', 'pidinet_loss': '0.1734', 'siglip_loss': '0.5376', 'epoch': '0.1748'} + 54%|████████████████▏ | 4860/9000 [3:05:19<4:43:32, 4.11s/it][Dataset] cur_step=4861 phase=B_anchor_generation +[Dataset] cur_step=4861 phase=B_anchor_generation +[Dataset] cur_step=4861 phase=B_anchor_generation[Dataset] cur_step=4861 phase=B_anchor_generation + +[Dataset] cur_step=4861 phase=B_anchor_generation + 54%|████████████████▏ | 4861/9000 [3:05:20<4:40:00, 4.06s/it][Dataset] cur_step=4861 phase=B_anchor_generation +[Dataset] cur_step=4861 phase=B_anchor_generation +[Dataset] cur_step=4861 phase=B_anchor_generation + {'loss': '2.773', 'grad_norm': '1.601', 'learning_rate': '2.375e-05', 'epoch': '0.1749'} + 54%|████████████████▏ | 4861/9000 [3:05:20<4:40:00, 4.06s/it] {'lm_loss': '0.0006985', 'visual_loss': '2.98', 'seg_loss': '0.729', 'dino_loss': '0.9256', 'depth_loss': '0.246', 'vggt_mse_loss': '0.2442', 'vggt_cos_loss': '0.0174', 'pidinet_loss': '0.2941', 'siglip_loss': '0.7856', 'epoch': '0.1749'} + 54%|████████████████▏ | 4861/9000 [3:05:23<4:40:00, 4.06s/it][Dataset] cur_step=4862 phase=B_anchor_generation +[Dataset] cur_step=4862 phase=B_anchor_generation +[Dataset] cur_step=4862 phase=B_anchor_generation +[Dataset] cur_step=4862 phase=B_anchor_generation + 54%|████████████████▏ | 4862/9000 [3:05:24<4:32:26, 3.95s/it][Dataset] cur_step=4862 phase=B_anchor_generation +[Dataset] cur_step=4862 phase=B_anchor_generation[Dataset] cur_step=4862 phase=B_anchor_generation + +[Dataset] cur_step=4862 phase=B_anchor_generation + {'loss': '2.697', 'grad_norm': '1.389', 'learning_rate': '2.374e-05', 'epoch': '0.1749'} + 54%|████████████████▏ | 4862/9000 [3:05:24<4:32:26, 3.95s/it] {'lm_loss': '0.0001392', 'visual_loss': '2.438', 'seg_loss': '0.6019', 'dino_loss': '0.8944', 'depth_loss': '0.246', 'vggt_mse_loss': '0.2446', 'vggt_cos_loss': '0.01386', 'pidinet_loss': '0.2114', 'siglip_loss': '0.4841', 'epoch': '0.1749'} + 54%|████████████████▏ | 4862/9000 [3:05:27<4:32:26, 3.95s/it][Dataset] cur_step=4863 phase=B_anchor_generation +[Dataset] cur_step=4863 phase=B_anchor_generation + 54%|████████████████▏ | 4863/9000 [3:05:28<4:33:18, 3.96s/it][Dataset] cur_step=4863 phase=B_anchor_generation +[Dataset] cur_step=4863 phase=B_anchor_generation[Dataset] cur_step=4863 phase=B_anchor_generation + +[Dataset] cur_step=4863 phase=B_anchor_generation +[Dataset] cur_step=4863 phase=B_anchor_generation +[Dataset] cur_step=4863 phase=B_anchor_generation + {'loss': '2.648', 'grad_norm': '21.27', 'learning_rate': '2.373e-05', 'epoch': '0.1749'} + 54%|████████████████▏ | 4863/9000 [3:05:28<4:33:18, 3.96s/it] {'lm_loss': '0.0002008', 'visual_loss': '2.551', 'seg_loss': '0.6649', 'dino_loss': '0.8967', 'depth_loss': '0.1818', 'vggt_mse_loss': '0.1806', 'vggt_cos_loss': '0.01228', 'pidinet_loss': '0.2631', 'siglip_loss': '0.5448', 'epoch': '0.1749'} + 54%|████████████████▏ | 4863/9000 [3:05:31<4:33:18, 3.96s/it][Dataset] cur_step=4864 phase=B_anchor_generation +[Dataset] cur_step=4864 phase=B_anchor_generation +[Dataset] cur_step=4864 phase=B_anchor_generation[Dataset] cur_step=4864 phase=B_anchor_generation + +[Dataset] cur_step=4864 phase=B_anchor_generation +[Dataset] cur_step=4864 phase=B_anchor_generation +[Dataset] cur_step=4864 phase=B_anchor_generation +[Dataset] cur_step=4864 phase=B_anchor_generation + 54%|████████████████▏ | 4864/9000 [3:05:31<4:33:24, 3.97s/it] {'loss': '2.676', 'grad_norm': '1.899', 'learning_rate': '2.372e-05', 'epoch': '0.175'} + 54%|████████████████▏ | 4864/9000 [3:05:31<4:33:24, 3.97s/it] {'lm_loss': '0.0001876', 'visual_loss': '2.431', 'seg_loss': '0.613', 'dino_loss': '0.9104', 'depth_loss': '0.2772', 'vggt_mse_loss': '0.2752', 'vggt_cos_loss': '0.0205', 'pidinet_loss': '0.1989', 'siglip_loss': '0.4316', 'epoch': '0.175'} + 54%|████████████████▏ | 4864/9000 [3:05:35<4:33:24, 3.97s/it][Dataset] cur_step=4865 phase=B_anchor_generation +[Dataset] cur_step=4865 phase=B_anchor_generation +[Dataset] cur_step=4865 phase=B_anchor_generation +[Dataset] cur_step=4865 phase=B_anchor_generation[Dataset] cur_step=4865 phase=B_anchor_generation + +[Dataset] cur_step=4865 phase=B_anchor_generation +[Dataset] cur_step=4865 phase=B_anchor_generation 54%|████████████████▏ | 4865/9000 [3:05:35<4:33:08, 3.96s/it] +[Dataset] cur_step=4865 phase=B_anchor_generation + {'loss': '2.622', 'grad_norm': '1.562', 'learning_rate': '2.371e-05', 'epoch': '0.175'} + 54%|████████████████▏ | 4865/9000 [3:05:35<4:33:08, 3.96s/it] {'lm_loss': '0.0001463', 'visual_loss': '2.83', 'seg_loss': '0.8124', 'dino_loss': '0.8969', 'depth_loss': '0.2362', 'vggt_mse_loss': '0.2345', 'vggt_cos_loss': '0.01684', 'pidinet_loss': '0.1817', 'siglip_loss': '0.7028', 'epoch': '0.175'} + 54%|████████████████▏ | 4865/9000 [3:05:38<4:33:08, 3.96s/it][Dataset] cur_step=4866 phase=B_anchor_generation[Dataset] cur_step=4866 phase=B_anchor_generation + +[Dataset] cur_step=4866 phase=B_anchor_generation[Dataset] cur_step=4866 phase=B_anchor_generation + +[Dataset] cur_step=4866 phase=B_anchor_generation +[Dataset] cur_step=4866 phase=B_anchor_generation[Dataset] cur_step=4866 phase=B_anchor_generation + + 54%|████████████████▏ | 4866/9000 [3:05:39<4:28:41, 3.90s/it][Dataset] cur_step=4866 phase=B_anchor_generation + {'loss': '2.771', 'grad_norm': '1.79', 'learning_rate': '2.371e-05', 'epoch': '0.1751'} + 54%|████████████████▏ | 4866/9000 [3:05:39<4:28:41, 3.90s/it] {'lm_loss': '0.0004655', 'visual_loss': '2.69', 'seg_loss': '0.7934', 'dino_loss': '0.8823', 'depth_loss': '0.2145', 'vggt_mse_loss': '0.2133', 'vggt_cos_loss': '0.01228', 'pidinet_loss': '0.2623', 'siglip_loss': '0.5372', 'epoch': '0.1751'} + 54%|████████████████▏ | 4866/9000 [3:05:42<4:28:41, 3.90s/it][Dataset] cur_step=4867 phase=B_anchor_generation[Dataset] cur_step=4867 phase=B_anchor_generation + +[Dataset] cur_step=4867 phase=B_anchor_generation +[Dataset] cur_step=4867 phase=B_anchor_generation +[Dataset] cur_step=4867 phase=B_anchor_generation + 54%|████████████████▏ | 4867/9000 [3:05:43<4:21:46, 3.80s/it][Dataset] cur_step=4867 phase=B_anchor_generation +[Dataset] cur_step=4867 phase=B_anchor_generation[Dataset] cur_step=4867 phase=B_anchor_generation + + {'loss': '2.82', 'grad_norm': '1.642', 'learning_rate': '2.37e-05', 'epoch': '0.1751'} + 54%|████████████████▏ | 4867/9000 [3:05:43<4:21:46, 3.80s/it] {'lm_loss': '7.765e-05', 'visual_loss': '2.814', 'seg_loss': '0.727', 'dino_loss': '0.9203', 'depth_loss': '0.2741', 'vggt_mse_loss': '0.272', 'vggt_cos_loss': '0.0206', 'pidinet_loss': '0.2071', 'siglip_loss': '0.6851', 'epoch': '0.1751'} + 54%|████████████████▏ | 4867/9000 [3:05:46<4:21:46, 3.80s/it][Dataset] cur_step=4868 phase=B_anchor_generation +[Dataset] cur_step=4868 phase=B_anchor_generation +[Dataset] cur_step=4868 phase=B_anchor_generation +[Dataset] cur_step=4868 phase=B_anchor_generation +[Dataset] cur_step=4868 phase=B_anchor_generation + 54%|████████████████▏ | 4868/9000 [3:05:47<4:26:40, 3.87s/it][Dataset] cur_step=4868 phase=B_anchor_generation +[Dataset] cur_step=4868 phase=B_anchor_generation +[Dataset] cur_step=4868 phase=B_anchor_generation + {'loss': '2.772', 'grad_norm': '1.616', 'learning_rate': '2.369e-05', 'epoch': '0.1751'} + 54%|████████████████▏ | 4868/9000 [3:05:47<4:26:40, 3.87s/it] {'lm_loss': '0.0001739', 'visual_loss': '2.86', 'seg_loss': '0.7404', 'dino_loss': '0.9384', 'depth_loss': '0.2795', 'vggt_mse_loss': '0.2776', 'vggt_cos_loss': '0.01879', 'pidinet_loss': '0.2396', 'siglip_loss': '0.6617', 'epoch': '0.1751'} + 54%|████████████████▏ | 4868/9000 [3:05:50<4:26:40, 3.87s/it][Dataset] cur_step=4869 phase=B_anchor_generation +[Dataset] cur_step=4869 phase=B_anchor_generation +[Dataset] cur_step=4869 phase=B_anchor_generation[Dataset] cur_step=4869 phase=B_anchor_generation + +[Dataset] cur_step=4869 phase=B_anchor_generation +[Dataset] cur_step=4869 phase=B_anchor_generation +[Dataset] cur_step=4869 phase=B_anchor_generation + 54%|████████████████▏ | 4869/9000 [3:05:51<4:26:20, 3.87s/it][Dataset] cur_step=4869 phase=B_anchor_generation + {'loss': '2.756', 'grad_norm': '1.598', 'learning_rate': '2.368e-05', 'epoch': '0.1752'} + 54%|████████████████▏ | 4869/9000 [3:05:51<4:26:20, 3.87s/it] {'lm_loss': '0.0001347', 'visual_loss': '2.788', 'seg_loss': '0.8398', 'dino_loss': '0.9032', 'depth_loss': '0.2189', 'vggt_mse_loss': '0.2171', 'vggt_cos_loss': '0.01824', 'pidinet_loss': '0.2593', 'siglip_loss': '0.5667', 'epoch': '0.1752'} + 54%|████████████████▏ | 4869/9000 [3:05:56<4:26:20, 3.87s/it][Dataset] cur_step=4870 phase=B_anchor_generation + 54%|████████████████▏ | 4870/9000 [3:05:56<5:06:55, 4.46s/it][Dataset] cur_step=4870 phase=B_anchor_generation +[Dataset] cur_step=4870 phase=B_anchor_generation +[Dataset] cur_step=4870 phase=B_anchor_generation +[Dataset] cur_step=4870 phase=B_anchor_generation +[Dataset] cur_step=4870 phase=B_anchor_generation +[Dataset] cur_step=4870 phase=B_anchor_generation +[Dataset] cur_step=4870 phase=B_anchor_generation + {'loss': '2.834', 'grad_norm': '6.318', 'learning_rate': '2.367e-05', 'epoch': '0.1752'} + 54%|████████████████▏ | 4870/9000 [3:05:56<5:06:55, 4.46s/it] {'lm_loss': '0.0004416', 'visual_loss': '2.845', 'seg_loss': '0.7182', 'dino_loss': '0.904', 'depth_loss': '0.2387', 'vggt_mse_loss': '0.2371', 'vggt_cos_loss': '0.01633', 'pidinet_loss': '0.2685', 'siglip_loss': '0.716', 'epoch': '0.1752'} + 54%|████████████████▏ | 4870/9000 [3:06:00<5:06:55, 4.46s/it][Dataset] cur_step=4871 phase=B_anchor_generation[Dataset] cur_step=4871 phase=B_anchor_generation + +[Dataset] cur_step=4871 phase=B_anchor_generation +[Dataset] cur_step=4871 phase=B_anchor_generation +[Dataset] cur_step=4871 phase=B_anchor_generation +[Dataset] cur_step=4871 phase=B_anchor_generation +[Dataset] cur_step=4871 phase=B_anchor_generation[Dataset] cur_step=4871 phase=B_anchor_generation + + 54%|████████████████▏ | 4871/9000 [3:06:00<4:50:31, 4.22s/it] {'loss': '2.751', 'grad_norm': '2.048', 'learning_rate': '2.366e-05', 'epoch': '0.1752'} + 54%|████████████████▏ | 4871/9000 [3:06:00<4:50:31, 4.22s/it] {'lm_loss': '0.0001086', 'visual_loss': '2.948', 'seg_loss': '0.8057', 'dino_loss': '0.9371', 'depth_loss': '0.2866', 'vggt_mse_loss': '0.2843', 'vggt_cos_loss': '0.02285', 'pidinet_loss': '0.1892', 'siglip_loss': '0.7289', 'epoch': '0.1752'} + 54%|████████████████▏ | 4871/9000 [3:06:03<4:50:31, 4.22s/it][Dataset] cur_step=4872 phase=B_anchor_generation +[Dataset] cur_step=4872 phase=B_anchor_generation +[Dataset] cur_step=4872 phase=B_anchor_generation +[Dataset] cur_step=4872 phase=B_anchor_generation +[Dataset] cur_step=4872 phase=B_anchor_generation +[Dataset] cur_step=4872 phase=B_anchor_generation[Dataset] cur_step=4872 phase=B_anchor_generation +[Dataset] cur_step=4872 phase=B_anchor_generation + + 54%|████████████████▏ | 4872/9000 [3:06:04<4:44:53, 4.14s/it] {'loss': '2.593', 'grad_norm': '1.457', 'learning_rate': '2.365e-05', 'epoch': '0.1753'} + 54%|████████████████▏ | 4872/9000 [3:06:04<4:44:53, 4.14s/it] {'lm_loss': '0.0001582', 'visual_loss': '2.651', 'seg_loss': '0.7374', 'dino_loss': '0.9202', 'depth_loss': '0.3394', 'vggt_mse_loss': '0.3379', 'vggt_cos_loss': '0.01523', 'pidinet_loss': '0.2212', 'siglip_loss': '0.4325', 'epoch': '0.1753'} + 54%|████████████████▏ | 4872/9000 [3:06:08<4:44:53, 4.14s/it][Dataset] cur_step=4873 phase=B_anchor_generation + 54%|████████████████▏ | 4873/9000 [3:06:08<4:36:56, 4.03s/it][Dataset] cur_step=4873 phase=B_anchor_generation[Dataset] cur_step=4873 phase=B_anchor_generation + +[Dataset] cur_step=4873 phase=B_anchor_generation[Dataset] cur_step=4873 phase=B_anchor_generation + +[Dataset] cur_step=4873 phase=B_anchor_generation +[Dataset] cur_step=4873 phase=B_anchor_generation +[Dataset] cur_step=4873 phase=B_anchor_generation + {'loss': '2.711', 'grad_norm': '1.379', 'learning_rate': '2.364e-05', 'epoch': '0.1753'} + 54%|████████████████▏ | 4873/9000 [3:06:08<4:36:56, 4.03s/it] {'lm_loss': '0.000132', 'visual_loss': '2.749', 'seg_loss': '0.7473', 'dino_loss': '0.9158', 'depth_loss': '0.2058', 'vggt_mse_loss': '0.2044', 'vggt_cos_loss': '0.01436', 'pidinet_loss': '0.2005', 'siglip_loss': '0.6798', 'epoch': '0.1753'} + 54%|████████████████▏ | 4873/9000 [3:06:11<4:36:56, 4.03s/it][Dataset] cur_step=4874 phase=B_anchor_generation +[Dataset] cur_step=4874 phase=B_anchor_generation[Dataset] cur_step=4874 phase=B_anchor_generation + +[Dataset] cur_step=4874 phase=B_anchor_generation +[Dataset] cur_step=4874 phase=B_anchor_generation +[Dataset] cur_step=4874 phase=B_anchor_generation[Dataset] cur_step=4874 phase=B_anchor_generation + + 54%|████████████████▏ | 4874/9000 [3:06:12<4:35:07, 4.00s/it][Dataset] cur_step=4874 phase=B_anchor_generation + {'loss': '2.706', 'grad_norm': '9.171', 'learning_rate': '2.363e-05', 'epoch': '0.1753'} + 54%|████████████████▏ | 4874/9000 [3:06:12<4:35:07, 4.00s/it] {'lm_loss': '0.000202', 'visual_loss': '2.571', 'seg_loss': '0.7287', 'dino_loss': '0.8896', 'depth_loss': '0.2349', 'vggt_mse_loss': '0.2334', 'vggt_cos_loss': '0.01468', 'pidinet_loss': '0.2281', 'siglip_loss': '0.4894', 'epoch': '0.1753'} + 54%|████████████████▏ | 4874/9000 [3:06:15<4:35:07, 4.00s/it][Dataset] cur_step=4875 phase=B_anchor_generation +[Dataset] cur_step=4875 phase=B_anchor_generation +[Dataset] cur_step=4875 phase=B_anchor_generation[Dataset] cur_step=4875 phase=B_anchor_generation + +[Dataset] cur_step=4875 phase=B_anchor_generation + 54%|████████████████▎ | 4875/9000 [3:06:16<4:34:46, 4.00s/it][Dataset] cur_step=4875 phase=B_anchor_generation +[Dataset] cur_step=4875 phase=B_anchor_generation +[Dataset] cur_step=4875 phase=B_anchor_generation + {'loss': '2.72', 'grad_norm': '2.262', 'learning_rate': '2.362e-05', 'epoch': '0.1754'} + 54%|████████████████▎ | 4875/9000 [3:06:16<4:34:46, 4.00s/it] {'lm_loss': '0.0001498', 'visual_loss': '2.783', 'seg_loss': '0.7298', 'dino_loss': '0.932', 'depth_loss': '0.2762', 'vggt_mse_loss': '0.2741', 'vggt_cos_loss': '0.02067', 'pidinet_loss': '0.1822', 'siglip_loss': '0.6628', 'epoch': '0.1754'} + 54%|████████████████▎ | 4875/9000 [3:06:19<4:34:46, 4.00s/it][Dataset] cur_step=4876 phase=B_anchor_generation +[Dataset] cur_step=4876 phase=B_anchor_generation +[Dataset] cur_step=4876 phase=B_anchor_generation[Dataset] cur_step=4876 phase=B_anchor_generation +[Dataset] cur_step=4876 phase=B_anchor_generation + +[Dataset] cur_step=4876 phase=B_anchor_generation + 54%|████████████████▎ | 4876/9000 [3:06:19<4:28:07, 3.90s/it][Dataset] cur_step=4876 phase=B_anchor_generation +[Dataset] cur_step=4876 phase=B_anchor_generation + {'loss': '2.676', 'grad_norm': '1.154', 'learning_rate': '2.361e-05', 'epoch': '0.1754'} + 54%|████████████████▎ | 4876/9000 [3:06:19<4:28:07, 3.90s/it] {'lm_loss': '0.0005191', 'visual_loss': '2.669', 'seg_loss': '0.7006', 'dino_loss': '0.8805', 'depth_loss': '0.2941', 'vggt_mse_loss': '0.2919', 'vggt_cos_loss': '0.02268', 'pidinet_loss': '0.2009', 'siglip_loss': '0.5932', 'epoch': '0.1754'} + 54%|████████████████▎ | 4876/9000 [3:06:22<4:28:07, 3.90s/it][Dataset] cur_step=4877 phase=B_anchor_generation +[Dataset] cur_step=4877 phase=B_anchor_generation[Dataset] cur_step=4877 phase=B_anchor_generation + +[Dataset] cur_step=4877 phase=B_anchor_generation +[Dataset] cur_step=4877 phase=B_anchor_generation +[Dataset] cur_step=4877 phase=B_anchor_generation + 54%|████████████████▎ | 4877/9000 [3:06:24<4:31:01, 3.94s/it][Dataset] cur_step=4877 phase=B_anchor_generation +[Dataset] cur_step=4877 phase=B_anchor_generation + {'loss': '2.758', 'grad_norm': '1.601', 'learning_rate': '2.36e-05', 'epoch': '0.1755'} + 54%|████████████████▎ | 4877/9000 [3:06:24<4:31:01, 3.94s/it] {'lm_loss': '0.0001218', 'visual_loss': '2.743', 'seg_loss': '0.6369', 'dino_loss': '0.8952', 'depth_loss': '0.3974', 'vggt_mse_loss': '0.3946', 'vggt_cos_loss': '0.02793', 'pidinet_loss': '0.1967', 'siglip_loss': '0.617', 'epoch': '0.1755'} + 54%|████████████████▎ | 4877/9000 [3:06:27<4:31:01, 3.94s/it][Dataset] cur_step=4878 phase=B_anchor_generation +[Dataset] cur_step=4878 phase=B_anchor_generation +[Dataset] cur_step=4878 phase=B_anchor_generation + 54%|████████████████▎ | 4878/9000 [3:06:28<4:33:08, 3.98s/it][Dataset] cur_step=4878 phase=B_anchor_generation +[Dataset] cur_step=4878 phase=B_anchor_generation +[Dataset] cur_step=4878 phase=B_anchor_generation +[Dataset] cur_step=4878 phase=B_anchor_generation +[Dataset] cur_step=4878 phase=B_anchor_generation + {'loss': '2.708', 'grad_norm': '1.551', 'learning_rate': '2.36e-05', 'epoch': '0.1755'} + 54%|████████████████▎ | 4878/9000 [3:06:28<4:33:08, 3.98s/it] {'lm_loss': '9.335e-05', 'visual_loss': '2.79', 'seg_loss': '0.8346', 'dino_loss': '0.9339', 'depth_loss': '0.2649', 'vggt_mse_loss': '0.2627', 'vggt_cos_loss': '0.02216', 'pidinet_loss': '0.2313', 'siglip_loss': '0.5251', 'epoch': '0.1755'} + 54%|████████████████▎ | 4878/9000 [3:06:30<4:33:08, 3.98s/it][Dataset] cur_step=4879 phase=B_anchor_generation +[Dataset] cur_step=4879 phase=B_anchor_generation +[Dataset] cur_step=4879 phase=B_anchor_generation +[Dataset] cur_step=4879 phase=B_anchor_generation +[Dataset] cur_step=4879 phase=B_anchor_generation[Dataset] cur_step=4879 phase=B_anchor_generation + +[Dataset] cur_step=4879 phase=B_anchor_generation + 54%|████████████████▎ | 4879/9000 [3:06:31<4:31:41, 3.96s/it][Dataset] cur_step=4879 phase=B_anchor_generation + {'loss': '2.751', 'grad_norm': '1.633', 'learning_rate': '2.359e-05', 'epoch': '0.1755'} + 54%|████████████████▎ | 4879/9000 [3:06:31<4:31:41, 3.96s/it] {'lm_loss': '0.0001058', 'visual_loss': '2.928', 'seg_loss': '0.7784', 'dino_loss': '0.9202', 'depth_loss': '0.2266', 'vggt_mse_loss': '0.225', 'vggt_cos_loss': '0.01617', 'pidinet_loss': '0.3033', 'siglip_loss': '0.6998', 'epoch': '0.1755'} + 54%|████████████████▎ | 4879/9000 [3:06:35<4:31:41, 3.96s/it][Dataset] cur_step=4880 phase=B_anchor_generation +[Dataset] cur_step=4880 phase=B_anchor_generation +[Dataset] cur_step=4880 phase=B_anchor_generation[Dataset] cur_step=4880 phase=B_anchor_generation + + 54%|████████████████▎ | 4880/9000 [3:06:36<4:33:33, 3.98s/it][Dataset] cur_step=4880 phase=B_anchor_generation +[Dataset] cur_step=4880 phase=B_anchor_generation +[Dataset] cur_step=4880 phase=B_anchor_generation +[Dataset] cur_step=4880 phase=B_anchor_generation + {'loss': '2.779', 'grad_norm': '2.859', 'learning_rate': '2.358e-05', 'epoch': '0.1756'} + 54%|████████████████▎ | 4880/9000 [3:06:36<4:33:33, 3.98s/it] {'lm_loss': '0.0002418', 'visual_loss': '2.568', 'seg_loss': '0.7366', 'dino_loss': '0.8913', 'depth_loss': '0.2357', 'vggt_mse_loss': '0.2345', 'vggt_cos_loss': '0.01218', 'pidinet_loss': '0.1721', 'siglip_loss': '0.5326', 'epoch': '0.1756'} + 54%|████████████████▎ | 4880/9000 [3:06:39<4:33:33, 3.98s/it][Dataset] cur_step=4881 phase=B_anchor_generation +[Dataset] cur_step=4881 phase=B_anchor_generation +[Dataset] cur_step=4881 phase=B_anchor_generation +[Dataset] cur_step=4881 phase=B_anchor_generation[Dataset] cur_step=4881 phase=B_anchor_generation + +[Dataset] cur_step=4881 phase=B_anchor_generation +[Dataset] cur_step=4881 phase=B_anchor_generation + 54%|████████████████▎ | 4881/9000 [3:06:40<4:35:46, 4.02s/it][Dataset] cur_step=4881 phase=B_anchor_generation + {'loss': '2.748', 'grad_norm': '1.584', 'learning_rate': '2.357e-05', 'epoch': '0.1756'} + 54%|████████████████▎ | 4881/9000 [3:06:40<4:35:46, 4.02s/it] {'lm_loss': '0.0001013', 'visual_loss': '2.953', 'seg_loss': '0.7694', 'dino_loss': '0.9141', 'depth_loss': '0.4126', 'vggt_mse_loss': '0.4095', 'vggt_cos_loss': '0.03148', 'pidinet_loss': '0.258', 'siglip_loss': '0.5985', 'epoch': '0.1756'} + 54%|████████████████▎ | 4881/9000 [3:06:43<4:35:46, 4.02s/it][Dataset] cur_step=4882 phase=B_anchor_generation +[Dataset] cur_step=4882 phase=B_anchor_generation +[Dataset] cur_step=4882 phase=B_anchor_generation[Dataset] cur_step=4882 phase=B_anchor_generation + +[Dataset] cur_step=4882 phase=B_anchor_generation +[Dataset] cur_step=4882 phase=B_anchor_generation + 54%|████████████████▎ | 4882/9000 [3:06:43<4:25:33, 3.87s/it][Dataset] cur_step=4882 phase=B_anchor_generation +[Dataset] cur_step=4882 phase=B_anchor_generation + {'loss': '2.821', 'grad_norm': '3.613', 'learning_rate': '2.356e-05', 'epoch': '0.1756'} + 54%|████████████████▎ | 4882/9000 [3:06:43<4:25:33, 3.87s/it] {'lm_loss': '0.0001149', 'visual_loss': '2.88', 'seg_loss': '0.7376', 'dino_loss': '0.9284', 'depth_loss': '0.2555', 'vggt_mse_loss': '0.2533', 'vggt_cos_loss': '0.0223', 'pidinet_loss': '0.2222', 'siglip_loss': '0.7362', 'epoch': '0.1756'} + 54%|████████████████▎ | 4882/9000 [3:06:47<4:25:33, 3.87s/it][Dataset] cur_step=4883 phase=B_anchor_generation[Dataset] cur_step=4883 phase=B_anchor_generation + +[Dataset] cur_step=4883 phase=B_anchor_generation +[Dataset] cur_step=4883 phase=B_anchor_generation +[Dataset] cur_step=4883 phase=B_anchor_generation[Dataset] cur_step=4883 phase=B_anchor_generation + 54%|████████████████▎ | 4883/9000 [3:06:47<4:23:42, 3.84s/it] +[Dataset] cur_step=4883 phase=B_anchor_generation +[Dataset] cur_step=4883 phase=B_anchor_generation + {'loss': '2.736', 'grad_norm': '1.322', 'learning_rate': '2.355e-05', 'epoch': '0.1757'} + 54%|████████████████▎ | 4883/9000 [3:06:47<4:23:42, 3.84s/it] {'lm_loss': '0.0001133', 'visual_loss': '2.612', 'seg_loss': '0.7134', 'dino_loss': '0.9176', 'depth_loss': '0.3072', 'vggt_mse_loss': '0.3045', 'vggt_cos_loss': '0.02767', 'pidinet_loss': '0.2429', 'siglip_loss': '0.4308', 'epoch': '0.1757'} + 54%|████████████████▎ | 4883/9000 [3:06:50<4:23:42, 3.84s/it][Dataset] cur_step=4884 phase=B_anchor_generation +[Dataset] cur_step=4884 phase=B_anchor_generation +[Dataset] cur_step=4884 phase=B_anchor_generation +[Dataset] cur_step=4884 phase=B_anchor_generation +[Dataset] cur_step=4884 phase=B_anchor_generation[Dataset] cur_step=4884 phase=B_anchor_generation + +[Dataset] cur_step=4884 phase=B_anchor_generation[Dataset] cur_step=4884 phase=B_anchor_generation + + 54%|████████████████▎ | 4884/9000 [3:06:51<4:24:17, 3.85s/it] {'loss': '2.739', 'grad_norm': '1.777', 'learning_rate': '2.354e-05', 'epoch': '0.1757'} + 54%|████████████████▎ | 4884/9000 [3:06:51<4:24:17, 3.85s/it] {'lm_loss': '0.0003156', 'visual_loss': '2.652', 'seg_loss': '0.6659', 'dino_loss': '0.9372', 'depth_loss': '0.2634', 'vggt_mse_loss': '0.2614', 'vggt_cos_loss': '0.02033', 'pidinet_loss': '0.2449', 'siglip_loss': '0.5402', 'epoch': '0.1757'} + 54%|████████████████▎ | 4884/9000 [3:06:54<4:24:17, 3.85s/it][Dataset] cur_step=4885 phase=B_anchor_generation +[Dataset] cur_step=4885 phase=B_anchor_generation +[Dataset] cur_step=4885 phase=B_anchor_generation[Dataset] cur_step=4885 phase=B_anchor_generation + +[Dataset] cur_step=4885 phase=B_anchor_generation[Dataset] cur_step=4885 phase=B_anchor_generation + + 54%|████████████████▎ | 4885/9000 [3:06:55<4:24:10, 3.85s/it][Dataset] cur_step=4885 phase=B_anchor_generation +[Dataset] cur_step=4885 phase=B_anchor_generation + {'loss': '2.57', 'grad_norm': '1.209', 'learning_rate': '2.353e-05', 'epoch': '0.1757'} + 54%|████████████████▎ | 4885/9000 [3:06:55<4:24:10, 3.85s/it] {'lm_loss': '0.000182', 'visual_loss': '2.628', 'seg_loss': '0.676', 'dino_loss': '0.9226', 'depth_loss': '0.2782', 'vggt_mse_loss': '0.2763', 'vggt_cos_loss': '0.01944', 'pidinet_loss': '0.2075', 'siglip_loss': '0.544', 'epoch': '0.1757'} + 54%|████████████████▎ | 4885/9000 [3:06:58<4:24:10, 3.85s/it][Dataset] cur_step=4886 phase=B_anchor_generation +[Dataset] cur_step=4886 phase=B_anchor_generation[Dataset] cur_step=4886 phase=B_anchor_generation + +[Dataset] cur_step=4886 phase=B_anchor_generation +[Dataset] cur_step=4886 phase=B_anchor_generation +[Dataset] cur_step=4886 phase=B_anchor_generation +[Dataset] cur_step=4886 phase=B_anchor_generation 54%|████████████████▎ | 4886/9000 [3:06:58<4:22:19, 3.83s/it] +[Dataset] cur_step=4886 phase=B_anchor_generation + {'loss': '2.841', 'grad_norm': '1.93', 'learning_rate': '2.352e-05', 'epoch': '0.1758'} + 54%|████████████████▎ | 4886/9000 [3:06:58<4:22:19, 3.83s/it] {'lm_loss': '0.0001577', 'visual_loss': '2.803', 'seg_loss': '0.7076', 'dino_loss': '0.9006', 'depth_loss': '0.313', 'vggt_mse_loss': '0.3105', 'vggt_cos_loss': '0.02495', 'pidinet_loss': '0.2173', 'siglip_loss': '0.6645', 'epoch': '0.1758'} + 54%|████████████████▎ | 4886/9000 [3:07:01<4:22:19, 3.83s/it][Dataset] cur_step=4887 phase=B_anchor_generation +[Dataset] cur_step=4887 phase=B_anchor_generation +[Dataset] cur_step=4887 phase=B_anchor_generation +[Dataset] cur_step=4887 phase=B_anchor_generation + 54%|████████████████▎ | 4887/9000 [3:07:02<4:24:45, 3.86s/it][Dataset] cur_step=4887 phase=B_anchor_generation +[Dataset] cur_step=4887 phase=B_anchor_generation +[Dataset] cur_step=4887 phase=B_anchor_generation +[Dataset] cur_step=4887 phase=B_anchor_generation + {'loss': '2.698', 'grad_norm': '1.475', 'learning_rate': '2.351e-05', 'epoch': '0.1758'} + 54%|████████████████▎ | 4887/9000 [3:07:02<4:24:45, 3.86s/it] {'lm_loss': '0.0001764', 'visual_loss': '2.843', 'seg_loss': '0.7', 'dino_loss': '0.9515', 'depth_loss': '0.4546', 'vggt_mse_loss': '0.4511', 'vggt_cos_loss': '0.03463', 'pidinet_loss': '0.264', 'siglip_loss': '0.4728', 'epoch': '0.1758'} + 54%|████████████████▎ | 4887/9000 [3:07:06<4:24:45, 3.86s/it][Dataset] cur_step=4888 phase=B_anchor_generation +[Dataset] cur_step=4888 phase=B_anchor_generation +[Dataset] cur_step=4888 phase=B_anchor_generation +[Dataset] cur_step=4888 phase=B_anchor_generation +[Dataset] cur_step=4888 phase=B_anchor_generation +[Dataset] cur_step=4888 phase=B_anchor_generation +[Dataset] cur_step=4888 phase=B_anchor_generation +[Dataset] cur_step=4888 phase=B_anchor_generation + 54%|████████████████▎ | 4888/9000 [3:07:07<4:41:26, 4.11s/it] {'loss': '2.835', 'grad_norm': '1.766', 'learning_rate': '2.35e-05', 'epoch': '0.1758'} + 54%|████████████████▎ | 4888/9000 [3:07:07<4:41:26, 4.11s/it] {'lm_loss': '0.0004401', 'visual_loss': '2.469', 'seg_loss': '0.6602', 'dino_loss': '0.8767', 'depth_loss': '0.2094', 'vggt_mse_loss': '0.2081', 'vggt_cos_loss': '0.01314', 'pidinet_loss': '0.2304', 'siglip_loss': '0.4925', 'epoch': '0.1758'} + 54%|████████████████▎ | 4888/9000 [3:07:10<4:41:26, 4.11s/it][Dataset] cur_step=4889 phase=B_anchor_generation +[Dataset] cur_step=4889 phase=B_anchor_generation +[Dataset] cur_step=4889 phase=B_anchor_generation[Dataset] cur_step=4889 phase=B_anchor_generation +[Dataset] cur_step=4889 phase=B_anchor_generation + +[Dataset] cur_step=4889 phase=B_anchor_generation +[Dataset] cur_step=4889 phase=B_anchor_generation +[Dataset] cur_step=4889 phase=B_anchor_generation 54%|████████████████▎ | 4889/9000 [3:07:11<4:41:26, 4.11s/it] + {'loss': '2.749', 'grad_norm': '2.022', 'learning_rate': '2.349e-05', 'epoch': '0.1759'} + 54%|████████████████▎ | 4889/9000 [3:07:11<4:41:26, 4.11s/it] {'lm_loss': '0.0001168', 'visual_loss': '2.873', 'seg_loss': '0.6928', 'dino_loss': '0.9052', 'depth_loss': '0.247', 'vggt_mse_loss': '0.2452', 'vggt_cos_loss': '0.01814', 'pidinet_loss': '0.2778', 'siglip_loss': '0.7499', 'epoch': '0.1759'} + 54%|████████████████▎ | 4889/9000 [3:07:14<4:41:26, 4.11s/it][Dataset] cur_step=4890 phase=B_anchor_generation[Dataset] cur_step=4890 phase=B_anchor_generation + +[Dataset] cur_step=4890 phase=B_anchor_generation 54%|████████████████▎ | 4890/9000 [3:07:15<4:33:33, 3.99s/it][Dataset] cur_step=4890 phase=B_anchor_generation + +[Dataset] cur_step=4890 phase=B_anchor_generation +[Dataset] cur_step=4890 phase=B_anchor_generation[Dataset] cur_step=4890 phase=B_anchor_generation + +[Dataset] cur_step=4890 phase=B_anchor_generation + {'loss': '2.633', 'grad_norm': '5.939', 'learning_rate': '2.349e-05', 'epoch': '0.1759'} + 54%|████████████████▎ | 4890/9000 [3:07:15<4:33:33, 3.99s/it] {'lm_loss': '0.000169', 'visual_loss': '2.825', 'seg_loss': '0.9119', 'dino_loss': '0.9226', 'depth_loss': '0.213', 'vggt_mse_loss': '0.2116', 'vggt_cos_loss': '0.01425', 'pidinet_loss': '0.2115', 'siglip_loss': '0.5663', 'epoch': '0.1759'} + 54%|████████████████▎ | 4890/9000 [3:07:18<4:33:33, 3.99s/it][Dataset] cur_step=4891 phase=B_anchor_generation +[Dataset] cur_step=4891 phase=B_anchor_generation +[Dataset] cur_step=4891 phase=B_anchor_generation[Dataset] cur_step=4891 phase=B_anchor_generation + +[Dataset] cur_step=4891 phase=B_anchor_generation +[Dataset] cur_step=4891 phase=B_anchor_generation +[Dataset] cur_step=4891 phase=B_anchor_generation + 54%|████████████████▎ | 4891/9000 [3:07:19<4:33:28, 3.99s/it][Dataset] cur_step=4891 phase=B_anchor_generation + {'loss': '2.724', 'grad_norm': '1.5', 'learning_rate': '2.348e-05', 'epoch': '0.176'} + 54%|████████████████▎ | 4891/9000 [3:07:19<4:33:28, 3.99s/it] {'lm_loss': '0.0001597', 'visual_loss': '2.447', 'seg_loss': '0.5404', 'dino_loss': '0.9021', 'depth_loss': '0.2736', 'vggt_mse_loss': '0.272', 'vggt_cos_loss': '0.01656', 'pidinet_loss': '0.2209', 'siglip_loss': '0.5096', 'epoch': '0.176'} + 54%|████████████████▎ | 4891/9000 [3:07:22<4:33:28, 3.99s/it][Dataset] cur_step=4892 phase=B_anchor_generation +[Dataset] cur_step=4892 phase=B_anchor_generation +[Dataset] cur_step=4892 phase=B_anchor_generation[Dataset] cur_step=4892 phase=B_anchor_generation + +[Dataset] cur_step=4892 phase=B_anchor_generation +[Dataset] cur_step=4892 phase=B_anchor_generation +[Dataset] cur_step=4892 phase=B_anchor_generation + 54%|████████████████▎ | 4892/9000 [3:07:23<4:30:32, 3.95s/it][Dataset] cur_step=4892 phase=B_anchor_generation + {'loss': '2.694', 'grad_norm': '1.519', 'learning_rate': '2.347e-05', 'epoch': '0.176'} + 54%|████████████████▎ | 4892/9000 [3:07:23<4:30:32, 3.95s/it] {'lm_loss': '0.0001269', 'visual_loss': '2.746', 'seg_loss': '0.8006', 'dino_loss': '0.8915', 'depth_loss': '0.2025', 'vggt_mse_loss': '0.201', 'vggt_cos_loss': '0.01515', 'pidinet_loss': '0.2393', 'siglip_loss': '0.612', 'epoch': '0.176'} + 54%|████████████████▎ | 4892/9000 [3:07:26<4:30:32, 3.95s/it][Dataset] cur_step=4893 phase=B_anchor_generation +[Dataset] cur_step=4893 phase=B_anchor_generation[Dataset] cur_step=4893 phase=B_anchor_generation[Dataset] cur_step=4893 phase=B_anchor_generation + + +[Dataset] cur_step=4893 phase=B_anchor_generation +[Dataset] cur_step=4893 phase=B_anchor_generation +[Dataset] cur_step=4893 phase=B_anchor_generation +[Dataset] cur_step=4893 phase=B_anchor_generation + 54%|████████████████▎ | 4893/9000 [3:07:27<4:35:08, 4.02s/it] {'loss': '2.629', 'grad_norm': '1.735', 'learning_rate': '2.346e-05', 'epoch': '0.176'} + 54%|████████████████▎ | 4893/9000 [3:07:27<4:35:08, 4.02s/it] {'lm_loss': '9.786e-05', 'visual_loss': '2.817', 'seg_loss': '0.793', 'dino_loss': '0.92', 'depth_loss': '0.3353', 'vggt_mse_loss': '0.3328', 'vggt_cos_loss': '0.02562', 'pidinet_loss': '0.2314', 'siglip_loss': '0.5377', 'epoch': '0.176'} + 54%|████████████████▎ | 4893/9000 [3:07:30<4:35:08, 4.02s/it][Dataset] cur_step=4894 phase=B_anchor_generation +[Dataset] cur_step=4894 phase=B_anchor_generation +[Dataset] cur_step=4894 phase=B_anchor_generation +[Dataset] cur_step=4894 phase=B_anchor_generation +[Dataset] cur_step=4894 phase=B_anchor_generation[Dataset] cur_step=4894 phase=B_anchor_generation +[Dataset] cur_step=4894 phase=B_anchor_generation +[Dataset] cur_step=4894 phase=B_anchor_generation + + 54%|████████████████▎ | 4894/9000 [3:07:31<4:35:39, 4.03s/it] {'loss': '2.723', 'grad_norm': '2.172', 'learning_rate': '2.345e-05', 'epoch': '0.1761'} + 54%|████████████████▎ | 4894/9000 [3:07:31<4:35:39, 4.03s/it] {'lm_loss': '0.0001963', 'visual_loss': '3.271', 'seg_loss': '0.8378', 'dino_loss': '0.9181', 'depth_loss': '0.3235', 'vggt_mse_loss': '0.3207', 'vggt_cos_loss': '0.02811', 'pidinet_loss': '0.2426', 'siglip_loss': '0.9492', 'epoch': '0.1761'} + 54%|████████████████▎ | 4894/9000 [3:07:34<4:35:39, 4.03s/it][Dataset] cur_step=4895 phase=B_anchor_generation +[Dataset] cur_step=4895 phase=B_anchor_generation +[Dataset] cur_step=4895 phase=B_anchor_generation[Dataset] cur_step=4895 phase=B_anchor_generation + +[Dataset] cur_step=4895 phase=B_anchor_generation +[Dataset] cur_step=4895 phase=B_anchor_generation +[Dataset] cur_step=4895 phase=B_anchor_generation +[Dataset] cur_step=4895 phase=B_anchor_generation + 54%|████████████████▎ | 4895/9000 [3:07:35<4:38:58, 4.08s/it] {'loss': '2.802', 'grad_norm': '1.518', 'learning_rate': '2.344e-05', 'epoch': '0.1761'} + 54%|████████████████▎ | 4895/9000 [3:07:35<4:38:58, 4.08s/it] {'lm_loss': '0.0001085', 'visual_loss': '2.793', 'seg_loss': '0.7402', 'dino_loss': '0.9278', 'depth_loss': '0.2597', 'vggt_mse_loss': '0.2581', 'vggt_cos_loss': '0.01559', 'pidinet_loss': '0.2369', 'siglip_loss': '0.6285', 'epoch': '0.1761'} + 54%|████████████████▎ | 4895/9000 [3:07:39<4:38:58, 4.08s/it][Dataset] cur_step=4896 phase=B_anchor_generation +[Dataset] cur_step=4896 phase=B_anchor_generation + 54%|████████████████▎ | 4896/9000 [3:07:39<4:36:06, 4.04s/it][Dataset] cur_step=4896 phase=B_anchor_generation +[Dataset] cur_step=4896 phase=B_anchor_generation[Dataset] cur_step=4896 phase=B_anchor_generation + +[Dataset] cur_step=4896 phase=B_anchor_generation +[Dataset] cur_step=4896 phase=B_anchor_generation +[Dataset] cur_step=4896 phase=B_anchor_generation + {'loss': '2.759', 'grad_norm': '2.323', 'learning_rate': '2.343e-05', 'epoch': '0.1761'} + 54%|████████████████▎ | 4896/9000 [3:07:39<4:36:06, 4.04s/it] {'lm_loss': '0.0001968', 'visual_loss': '2.461', 'seg_loss': '0.6184', 'dino_loss': '0.878', 'depth_loss': '0.2617', 'vggt_mse_loss': '0.2601', 'vggt_cos_loss': '0.01589', 'pidinet_loss': '0.1796', 'siglip_loss': '0.5233', 'epoch': '0.1761'} + 54%|████████████████▎ | 4896/9000 [3:07:42<4:36:06, 4.04s/it][Dataset] cur_step=4897 phase=B_anchor_generation +[Dataset] cur_step=4897 phase=B_anchor_generation +[Dataset] cur_step=4897 phase=B_anchor_generation[Dataset] cur_step=4897 phase=B_anchor_generation + +[Dataset] cur_step=4897 phase=B_anchor_generation +[Dataset] cur_step=4897 phase=B_anchor_generation +[Dataset] cur_step=4897 phase=B_anchor_generation + 54%|████████████████▎ | 4897/9000 [3:07:43<4:37:25, 4.06s/it][Dataset] cur_step=4897 phase=B_anchor_generation + {'loss': '2.655', 'grad_norm': '1.435', 'learning_rate': '2.342e-05', 'epoch': '0.1762'} + 54%|████████████████▎ | 4897/9000 [3:07:43<4:37:25, 4.06s/it] {'lm_loss': '0.0001458', 'visual_loss': '2.466', 'seg_loss': '0.6614', 'dino_loss': '0.8815', 'depth_loss': '0.3415', 'vggt_mse_loss': '0.3397', 'vggt_cos_loss': '0.01808', 'pidinet_loss': '0.1717', 'siglip_loss': '0.4102', 'epoch': '0.1762'} + 54%|████████████████▎ | 4897/9000 [3:07:47<4:37:25, 4.06s/it][Dataset] cur_step=4898 phase=B_anchor_generation +[Dataset] cur_step=4898 phase=B_anchor_generation +[Dataset] cur_step=4898 phase=B_anchor_generation +[Dataset] cur_step=4898 phase=B_anchor_generation[Dataset] cur_step=4898 phase=B_anchor_generation + +[Dataset] cur_step=4898 phase=B_anchor_generation +[Dataset] cur_step=4898 phase=B_anchor_generation + 54%|████████████████▎ | 4898/9000 [3:07:47<4:41:12, 4.11s/it][Dataset] cur_step=4898 phase=B_anchor_generation + {'loss': '2.67', 'grad_norm': '1.621', 'learning_rate': '2.341e-05', 'epoch': '0.1762'} + 54%|████████████████▎ | 4898/9000 [3:07:47<4:41:12, 4.11s/it] {'lm_loss': '0.000324', 'visual_loss': '3.045', 'seg_loss': '0.7547', 'dino_loss': '0.9429', 'depth_loss': '0.2783', 'vggt_mse_loss': '0.2762', 'vggt_cos_loss': '0.02096', 'pidinet_loss': '0.288', 'siglip_loss': '0.7806', 'epoch': '0.1762'} + 54%|████████████████▎ | 4898/9000 [3:07:51<4:41:12, 4.11s/it][Dataset] cur_step=4899 phase=B_anchor_generation +[Dataset] cur_step=4899 phase=B_anchor_generation + 54%|████████████████▎ | 4899/9000 [3:07:51<4:36:40, 4.05s/it][Dataset] cur_step=4899 phase=B_anchor_generation +[Dataset] cur_step=4899 phase=B_anchor_generation[Dataset] cur_step=4899 phase=B_anchor_generation + +[Dataset] cur_step=4899 phase=B_anchor_generation +[Dataset] cur_step=4899 phase=B_anchor_generation[Dataset] cur_step=4899 phase=B_anchor_generation + + {'loss': '2.804', 'grad_norm': '7.603', 'learning_rate': '2.34e-05', 'epoch': '0.1762'} + 54%|████████████████▎ | 4899/9000 [3:07:51<4:36:40, 4.05s/it] {'lm_loss': '0.0002653', 'visual_loss': '2.55', 'seg_loss': '0.5425', 'dino_loss': '0.8994', 'depth_loss': '0.197', 'vggt_mse_loss': '0.1955', 'vggt_cos_loss': '0.01484', 'pidinet_loss': '0.2504', 'siglip_loss': '0.6606', 'epoch': '0.1762'} + 54%|████████████████▎ | 4899/9000 [3:07:55<4:36:40, 4.05s/it][Dataset] cur_step=4900 phase=B_anchor_generation +[Dataset] cur_step=4900 phase=B_anchor_generation +[Dataset] cur_step=4900 phase=B_anchor_generation +[Dataset] cur_step=4900 phase=B_anchor_generation +[Dataset] cur_step=4900 phase=B_anchor_generation +[Dataset] cur_step=4900 phase=B_anchor_generation +[Dataset] cur_step=4900 phase=B_anchor_generation[Dataset] cur_step=4900 phase=B_anchor_generation + + 54%|████████████████▎ | 4900/9000 [3:07:55<4:34:58, 4.02s/it] {'loss': '2.64', 'grad_norm': '1.731', 'learning_rate': '2.339e-05', 'epoch': '0.1763'} + 54%|████████████████▎ | 4900/9000 [3:07:55<4:34:58, 4.02s/it] {'lm_loss': '9.917e-05', 'visual_loss': '2.664', 'seg_loss': '0.6897', 'dino_loss': '0.9018', 'depth_loss': '0.2151', 'vggt_mse_loss': '0.2139', 'vggt_cos_loss': '0.01222', 'pidinet_loss': '0.1856', 'siglip_loss': '0.6718', 'epoch': '0.1763'} + 54%|████████████████▎ | 4900/9000 [3:07:59<4:34:58, 4.02s/it][Dataset] cur_step=4901 phase=B_anchor_generation +[Dataset] cur_step=4901 phase=B_anchor_generation +[Dataset] cur_step=4901 phase=B_anchor_generation[Dataset] cur_step=4901 phase=B_anchor_generation + +[Dataset] cur_step=4901 phase=B_anchor_generation +[Dataset] cur_step=4901 phase=B_anchor_generation + 54%|████████████████▎ | 4901/9000 [3:07:59<4:32:14, 3.99s/it][Dataset] cur_step=4901 phase=B_anchor_generation +[Dataset] cur_step=4901 phase=B_anchor_generation + {'loss': '2.752', 'grad_norm': '1.364', 'learning_rate': '2.338e-05', 'epoch': '0.1763'} + 54%|████████████████▎ | 4901/9000 [3:07:59<4:32:14, 3.99s/it] {'lm_loss': '0.0001057', 'visual_loss': '2.924', 'seg_loss': '0.803', 'dino_loss': '0.9423', 'depth_loss': '0.3806', 'vggt_mse_loss': '0.3779', 'vggt_cos_loss': '0.02737', 'pidinet_loss': '0.2184', 'siglip_loss': '0.5797', 'epoch': '0.1763'} + 54%|████████████████▎ | 4901/9000 [3:08:02<4:32:14, 3.99s/it][Dataset] cur_step=4902 phase=B_anchor_generation +[Dataset] cur_step=4902 phase=B_anchor_generation +[Dataset] cur_step=4902 phase=B_anchor_generation +[Dataset] cur_step=4902 phase=B_anchor_generation +[Dataset] cur_step=4902 phase=B_anchor_generation +[Dataset] cur_step=4902 phase=B_anchor_generation + 54%|████████████████▎ | 4902/9000 [3:08:03<4:28:39, 3.93s/it][Dataset] cur_step=4902 phase=B_anchor_generation +[Dataset] cur_step=4902 phase=B_anchor_generation + {'loss': '2.736', 'grad_norm': '1.133', 'learning_rate': '2.338e-05', 'epoch': '0.1763'} + 54%|████████████████▎ | 4902/9000 [3:08:03<4:28:39, 3.93s/it] {'lm_loss': '7.941e-05', 'visual_loss': '2.893', 'seg_loss': '0.7449', 'dino_loss': '0.9137', 'depth_loss': '0.2255', 'vggt_mse_loss': '0.2239', 'vggt_cos_loss': '0.01573', 'pidinet_loss': '0.3057', 'siglip_loss': '0.7034', 'epoch': '0.1763'} + 54%|████████████████▎ | 4902/9000 [3:08:06<4:28:39, 3.93s/it][Dataset] cur_step=4903 phase=B_anchor_generation +[Dataset] cur_step=4903 phase=B_anchor_generation[Dataset] cur_step=4903 phase=B_anchor_generation +[Dataset] cur_step=4903 phase=B_anchor_generation + +[Dataset] cur_step=4903 phase=B_anchor_generation +[Dataset] cur_step=4903 phase=B_anchor_generation[Dataset] cur_step=4903 phase=B_anchor_generation + +[Dataset] cur_step=4903 phase=B_anchor_generation + 54%|████████████████▎ | 4903/9000 [3:08:07<4:26:15, 3.90s/it] {'loss': '2.711', 'grad_norm': '1.67', 'learning_rate': '2.337e-05', 'epoch': '0.1764'} + 54%|████████████████▎ | 4903/9000 [3:08:07<4:26:15, 3.90s/it] {'lm_loss': '0.000127', 'visual_loss': '2.645', 'seg_loss': '0.704', 'dino_loss': '0.8936', 'depth_loss': '0.1941', 'vggt_mse_loss': '0.1929', 'vggt_cos_loss': '0.01201', 'pidinet_loss': '0.259', 'siglip_loss': '0.5943', 'epoch': '0.1764'} + 54%|████████████████▎ | 4903/9000 [3:08:10<4:26:15, 3.90s/it][Dataset] cur_step=4904 phase=B_anchor_generation +[Dataset] cur_step=4904 phase=B_anchor_generation +[Dataset] cur_step=4904 phase=B_anchor_generation +[Dataset] cur_step=4904 phase=B_anchor_generation[Dataset] cur_step=4904 phase=B_anchor_generation + +[Dataset] cur_step=4904 phase=B_anchor_generation + 54%|████████████████▎ | 4904/9000 [3:08:11<4:21:57, 3.84s/it][Dataset] cur_step=4904 phase=B_anchor_generation +[Dataset] cur_step=4904 phase=B_anchor_generation + {'loss': '2.61', 'grad_norm': '1.445', 'learning_rate': '2.336e-05', 'epoch': '0.1764'} + 54%|████████████████▎ | 4904/9000 [3:08:11<4:21:57, 3.84s/it] {'lm_loss': '0.0001214', 'visual_loss': '2.705', 'seg_loss': '0.6616', 'dino_loss': '0.8896', 'depth_loss': '0.3283', 'vggt_mse_loss': '0.3259', 'vggt_cos_loss': '0.0246', 'pidinet_loss': '0.254', 'siglip_loss': '0.571', 'epoch': '0.1764'} + 54%|████████████████▎ | 4904/9000 [3:08:14<4:21:57, 3.84s/it][Dataset] cur_step=4905 phase=B_anchor_generation +[Dataset] cur_step=4905 phase=B_anchor_generation +[Dataset] cur_step=4905 phase=B_anchor_generation +[Dataset] cur_step=4905 phase=B_anchor_generation +[Dataset] cur_step=4905 phase=B_anchor_generation[Dataset] cur_step=4905 phase=B_anchor_generation + +[Dataset] cur_step=4905 phase=B_anchor_generation[Dataset] cur_step=4905 phase=B_anchor_generation + + 55%|████████████████▎ | 4905/9000 [3:08:14<4:24:31, 3.88s/it] {'loss': '2.703', 'grad_norm': '1.429', 'learning_rate': '2.335e-05', 'epoch': '0.1765'} + 55%|████████████████▎ | 4905/9000 [3:08:14<4:24:31, 3.88s/it] {'lm_loss': '0.0001225', 'visual_loss': '2.516', 'seg_loss': '0.7525', 'dino_loss': '0.9003', 'depth_loss': '0.2186', 'vggt_mse_loss': '0.2174', 'vggt_cos_loss': '0.01189', 'pidinet_loss': '0.2174', 'siglip_loss': '0.4274', 'epoch': '0.1765'} + 55%|████████████████▎ | 4905/9000 [3:08:17<4:24:31, 3.88s/it][Dataset] cur_step=4906 phase=B_anchor_generation +[Dataset] cur_step=4906 phase=B_anchor_generation +[Dataset] cur_step=4906 phase=B_anchor_generation +[Dataset] cur_step=4906 phase=B_anchor_generation[Dataset] cur_step=4906 phase=B_anchor_generation + +[Dataset] cur_step=4906 phase=B_anchor_generation +[Dataset] cur_step=4906 phase=B_anchor_generation +[Dataset] cur_step=4906 phase=B_anchor_generation + 55%|████████████████▎ | 4906/9000 [3:08:21<5:18:50, 4.67s/it] {'loss': '2.681', 'grad_norm': '1.535', 'learning_rate': '2.334e-05', 'epoch': '0.1765'} + 55%|████████████████▎ | 4906/9000 [3:08:21<5:18:50, 4.67s/it] {'lm_loss': '0.0001449', 'visual_loss': '2.499', 'seg_loss': '0.6332', 'dino_loss': '0.9078', 'depth_loss': '0.2909', 'vggt_mse_loss': '0.2891', 'vggt_cos_loss': '0.01808', 'pidinet_loss': '0.1869', 'siglip_loss': '0.4798', 'epoch': '0.1765'} + 55%|████████████████▎ | 4906/9000 [3:08:24<5:18:50, 4.67s/it][Dataset] cur_step=4907 phase=B_anchor_generation +[Dataset] cur_step=4907 phase=B_anchor_generation[Dataset] cur_step=4907 phase=B_anchor_generation + + 55%|████████████████▎ | 4907/9000 [3:08:25<5:04:55, 4.47s/it][Dataset] cur_step=4907 phase=B_anchor_generation[Dataset] cur_step=4907 phase=B_anchor_generation + +[Dataset] cur_step=4907 phase=B_anchor_generation +[Dataset] cur_step=4907 phase=B_anchor_generation +[Dataset] cur_step=4907 phase=B_anchor_generation + {'loss': '2.706', 'grad_norm': '1.783', 'learning_rate': '2.333e-05', 'epoch': '0.1765'} + 55%|████████████████▎ | 4907/9000 [3:08:25<5:04:55, 4.47s/it] {'lm_loss': '0.0001105', 'visual_loss': '2.647', 'seg_loss': '0.6827', 'dino_loss': '0.8869', 'depth_loss': '0.3654', 'vggt_mse_loss': '0.3625', 'vggt_cos_loss': '0.02968', 'pidinet_loss': '0.1832', 'siglip_loss': '0.5288', 'epoch': '0.1765'} + 55%|████████████████▎ | 4907/9000 [3:08:29<5:04:55, 4.47s/it][Dataset] cur_step=4908 phase=B_anchor_generation +[Dataset] cur_step=4908 phase=B_anchor_generation[Dataset] cur_step=4908 phase=B_anchor_generation + +[Dataset] cur_step=4908 phase=B_anchor_generation[Dataset] cur_step=4908 phase=B_anchor_generation + + 55%|████████████████▎ | 4908/9000 [3:08:29<4:52:52, 4.29s/it][Dataset] cur_step=4908 phase=B_anchor_generation +[Dataset] cur_step=4908 phase=B_anchor_generation +[Dataset] cur_step=4908 phase=B_anchor_generation + {'loss': '2.674', 'grad_norm': '1.457', 'learning_rate': '2.332e-05', 'epoch': '0.1766'} + 55%|████████████████▎ | 4908/9000 [3:08:29<4:52:52, 4.29s/it] {'lm_loss': '9.828e-05', 'visual_loss': '2.622', 'seg_loss': '0.6896', 'dino_loss': '0.9017', 'depth_loss': '0.2924', 'vggt_mse_loss': '0.291', 'vggt_cos_loss': '0.01473', 'pidinet_loss': '0.2327', 'siglip_loss': '0.5062', 'epoch': '0.1766'} + 55%|████████████████▎ | 4908/9000 [3:08:32<4:52:52, 4.29s/it][Dataset] cur_step=4909 phase=B_anchor_generation +[Dataset] cur_step=4909 phase=B_anchor_generation +[Dataset] cur_step=4909 phase=B_anchor_generation +[Dataset] cur_step=4909 phase=B_anchor_generation[Dataset] cur_step=4909 phase=B_anchor_generation + + 55%|████████████████▎ | 4909/9000 [3:08:33<4:47:34, 4.22s/it][Dataset] cur_step=4909 phase=B_anchor_generation[Dataset] cur_step=4909 phase=B_anchor_generation + +[Dataset] cur_step=4909 phase=B_anchor_generation + {'loss': '2.755', 'grad_norm': '1.697', 'learning_rate': '2.331e-05', 'epoch': '0.1766'} + 55%|████████████████▎ | 4909/9000 [3:08:33<4:47:34, 4.22s/it] {'lm_loss': '7.778e-05', 'visual_loss': '2.904', 'seg_loss': '0.7523', 'dino_loss': '0.9108', 'depth_loss': '0.3816', 'vggt_mse_loss': '0.3783', 'vggt_cos_loss': '0.03236', 'pidinet_loss': '0.2948', 'siglip_loss': '0.5641', 'epoch': '0.1766'} + 55%|████████████████▎ | 4909/9000 [3:08:36<4:47:34, 4.22s/it][Dataset] cur_step=4910 phase=B_anchor_generation +[Dataset] cur_step=4910 phase=B_anchor_generation +[Dataset] cur_step=4910 phase=B_anchor_generation +[Dataset] cur_step=4910 phase=B_anchor_generation[Dataset] cur_step=4910 phase=B_anchor_generation + +[Dataset] cur_step=4910 phase=B_anchor_generation + 55%|████████████████▎ | 4910/9000 [3:08:37<4:49:29, 4.25s/it][Dataset] cur_step=4910 phase=B_anchor_generation +[Dataset] cur_step=4910 phase=B_anchor_generation + {'loss': '2.665', 'grad_norm': '1.362', 'learning_rate': '2.33e-05', 'epoch': '0.1766'} + 55%|████████████████▎ | 4910/9000 [3:08:37<4:49:29, 4.25s/it] {'lm_loss': '0.0001274', 'visual_loss': '2.498', 'seg_loss': '0.6622', 'dino_loss': '0.915', 'depth_loss': '0.2532', 'vggt_mse_loss': '0.2518', 'vggt_cos_loss': '0.01419', 'pidinet_loss': '0.2105', 'siglip_loss': '0.4571', 'epoch': '0.1766'} + 55%|████████████████▎ | 4910/9000 [3:08:40<4:49:29, 4.25s/it][Dataset] cur_step=4911 phase=B_anchor_generation +[Dataset] cur_step=4911 phase=B_anchor_generation[Dataset] cur_step=4911 phase=B_anchor_generation + +[Dataset] cur_step=4911 phase=B_anchor_generation[Dataset] cur_step=4911 phase=B_anchor_generation + + 55%|████████████████▎ | 4911/9000 [3:08:43<5:24:27, 4.76s/it][Dataset] cur_step=4911 phase=B_anchor_generation +[Dataset] cur_step=4911 phase=B_anchor_generation +[Dataset] cur_step=4911 phase=B_anchor_generation + {'loss': '2.702', 'grad_norm': '3.403', 'learning_rate': '2.329e-05', 'epoch': '0.1767'} + 55%|████████████████▎ | 4911/9000 [3:08:43<5:24:27, 4.76s/it] {'lm_loss': '5.61e-05', 'visual_loss': '2.875', 'seg_loss': '0.7576', 'dino_loss': '0.9258', 'depth_loss': '0.3855', 'vggt_mse_loss': '0.3823', 'vggt_cos_loss': '0.03182', 'pidinet_loss': '0.3051', 'siglip_loss': '0.5007', 'epoch': '0.1767'} + 55%|████████████████▎ | 4911/9000 [3:08:46<5:24:27, 4.76s/it][Dataset] cur_step=4912 phase=B_anchor_generation +[Dataset] cur_step=4912 phase=B_anchor_generation +[Dataset] cur_step=4912 phase=B_anchor_generation + 55%|████████████████▎ | 4912/9000 [3:08:47<5:01:22, 4.42s/it][Dataset] cur_step=4912 phase=B_anchor_generation +[Dataset] cur_step=4912 phase=B_anchor_generation +[Dataset] cur_step=4912 phase=B_anchor_generation +[Dataset] cur_step=4912 phase=B_anchor_generation +[Dataset] cur_step=4912 phase=B_anchor_generation + {'loss': '2.874', 'grad_norm': '1.835', 'learning_rate': '2.328e-05', 'epoch': '0.1767'} + 55%|████████████████▎ | 4912/9000 [3:08:47<5:01:22, 4.42s/it] {'lm_loss': '0.0002363', 'visual_loss': '2.667', 'seg_loss': '0.715', 'dino_loss': '0.907', 'depth_loss': '0.2536', 'vggt_mse_loss': '0.252', 'vggt_cos_loss': '0.01557', 'pidinet_loss': '0.2633', 'siglip_loss': '0.5278', 'epoch': '0.1767'} + 55%|████████████████▎ | 4912/9000 [3:08:51<5:01:22, 4.42s/it][Dataset] cur_step=4913 phase=B_anchor_generation +[Dataset] cur_step=4913 phase=B_anchor_generation + 55%|████████████████▍ | 4913/9000 [3:08:51<4:53:52, 4.31s/it][Dataset] cur_step=4913 phase=B_anchor_generation +[Dataset] cur_step=4913 phase=B_anchor_generation +[Dataset] cur_step=4913 phase=B_anchor_generation +[Dataset] cur_step=4913 phase=B_anchor_generation +[Dataset] cur_step=4913 phase=B_anchor_generation +[Dataset] cur_step=4913 phase=B_anchor_generation + {'loss': '2.724', 'grad_norm': '1.544', 'learning_rate': '2.327e-05', 'epoch': '0.1767'} + 55%|████████████████▍ | 4913/9000 [3:08:51<4:53:52, 4.31s/it] {'lm_loss': '0.0001134', 'visual_loss': '2.901', 'seg_loss': '0.7209', 'dino_loss': '0.9179', 'depth_loss': '0.3022', 'vggt_mse_loss': '0.3004', 'vggt_cos_loss': '0.01753', 'pidinet_loss': '0.19', 'siglip_loss': '0.7697', 'epoch': '0.1767'} + 55%|████████████████▍ | 4913/9000 [3:08:54<4:53:52, 4.31s/it][Dataset] cur_step=4914 phase=B_anchor_generation +[Dataset] cur_step=4914 phase=B_anchor_generation +[Dataset] cur_step=4914 phase=B_anchor_generation +[Dataset] cur_step=4914 phase=B_anchor_generation +[Dataset] cur_step=4914 phase=B_anchor_generation +[Dataset] cur_step=4914 phase=B_anchor_generation +[Dataset] cur_step=4914 phase=B_anchor_generation +[Dataset] cur_step=4914 phase=B_anchor_generation + 55%|████████████████▍ | 4914/9000 [3:08:55<4:44:19, 4.18s/it] {'loss': '2.674', 'grad_norm': '1.892', 'learning_rate': '2.327e-05', 'epoch': '0.1768'} + 55%|████████████████▍ | 4914/9000 [3:08:55<4:44:19, 4.18s/it] {'lm_loss': '0.000144', 'visual_loss': '2.889', 'seg_loss': '0.8053', 'dino_loss': '0.926', 'depth_loss': '0.4201', 'vggt_mse_loss': '0.4164', 'vggt_cos_loss': '0.03731', 'pidinet_loss': '0.2893', 'siglip_loss': '0.4481', 'epoch': '0.1768'} + 55%|████████████████▍ | 4914/9000 [3:08:58<4:44:19, 4.18s/it][Dataset] cur_step=4915 phase=B_anchor_generation +[Dataset] cur_step=4915 phase=B_anchor_generation +[Dataset] cur_step=4915 phase=B_anchor_generation +[Dataset] cur_step=4915 phase=B_anchor_generation +[Dataset] cur_step=4915 phase=B_anchor_generation[Dataset] cur_step=4915 phase=B_anchor_generation + +[Dataset] cur_step=4915 phase=B_anchor_generation + 55%|████████████████▍ | 4915/9000 [3:08:58<4:31:52, 3.99s/it][Dataset] cur_step=4915 phase=B_anchor_generation + {'loss': '2.893', 'grad_norm': '3.254', 'learning_rate': '2.326e-05', 'epoch': '0.1768'} + 55%|████████████████▍ | 4915/9000 [3:08:58<4:31:52, 3.99s/it] {'lm_loss': '6.746e-05', 'visual_loss': '2.874', 'seg_loss': '0.8344', 'dino_loss': '0.9264', 'depth_loss': '0.2716', 'vggt_mse_loss': '0.2695', 'vggt_cos_loss': '0.02119', 'pidinet_loss': '0.246', 'siglip_loss': '0.5961', 'epoch': '0.1768'} + 55%|████████████████▍ | 4915/9000 [3:09:01<4:31:52, 3.99s/it][Dataset] cur_step=4916 phase=B_anchor_generation +[Dataset] cur_step=4916 phase=B_anchor_generation +[Dataset] cur_step=4916 phase=B_anchor_generation +[Dataset] cur_step=4916 phase=B_anchor_generation[Dataset] cur_step=4916 phase=B_anchor_generation + +[Dataset] cur_step=4916 phase=B_anchor_generation 55%|████████████████▍ | 4916/9000 [3:09:04<5:14:04, 4.61s/it] +[Dataset] cur_step=4916 phase=B_anchor_generation +[Dataset] cur_step=4916 phase=B_anchor_generation + {'loss': '2.777', 'grad_norm': '1.732', 'learning_rate': '2.325e-05', 'epoch': '0.1769'} + 55%|████████████████▍ | 4916/9000 [3:09:04<5:14:04, 4.61s/it] {'lm_loss': '0.0001834', 'visual_loss': '2.498', 'seg_loss': '0.613', 'dino_loss': '0.9063', 'depth_loss': '0.2958', 'vggt_mse_loss': '0.2938', 'vggt_cos_loss': '0.02053', 'pidinet_loss': '0.1511', 'siglip_loss': '0.5323', 'epoch': '0.1769'} + 55%|████████████████▍ | 4916/9000 [3:09:08<5:14:04, 4.61s/it][Dataset] cur_step=4917 phase=B_anchor_generation +[Dataset] cur_step=4917 phase=B_anchor_generation +[Dataset] cur_step=4917 phase=B_anchor_generation[Dataset] cur_step=4917 phase=B_anchor_generation + +[Dataset] cur_step=4917 phase=B_anchor_generation + 55%|████████████████▍ | 4917/9000 [3:09:08<5:01:27, 4.43s/it][Dataset] cur_step=4917 phase=B_anchor_generation +[Dataset] cur_step=4917 phase=B_anchor_generation +[Dataset] cur_step=4917 phase=B_anchor_generation + {'loss': '2.821', 'grad_norm': '4.146', 'learning_rate': '2.324e-05', 'epoch': '0.1769'} + 55%|████████████████▍ | 4917/9000 [3:09:08<5:01:27, 4.43s/it] {'lm_loss': '0.0001147', 'visual_loss': '2.849', 'seg_loss': '0.7159', 'dino_loss': '0.9322', 'depth_loss': '0.3115', 'vggt_mse_loss': '0.3094', 'vggt_cos_loss': '0.02128', 'pidinet_loss': '0.2842', 'siglip_loss': '0.605', 'epoch': '0.1769'} + 55%|████████████████▍ | 4917/9000 [3:09:12<5:01:27, 4.43s/it][Dataset] cur_step=4918 phase=B_anchor_generation[Dataset] cur_step=4918 phase=B_anchor_generation +[Dataset] cur_step=4918 phase=B_anchor_generation + +[Dataset] cur_step=4918 phase=B_anchor_generation +[Dataset] cur_step=4918 phase=B_anchor_generation +[Dataset] cur_step=4918 phase=B_anchor_generation +[Dataset] cur_step=4918 phase=B_anchor_generation + 55%|████████████████▍ | 4918/9000 [3:09:13<4:55:10, 4.34s/it][Dataset] cur_step=4918 phase=B_anchor_generation + {'loss': '2.676', 'grad_norm': '1.718', 'learning_rate': '2.323e-05', 'epoch': '0.1769'} + 55%|████████████████▍ | 4918/9000 [3:09:13<4:55:10, 4.34s/it] {'lm_loss': '0.0001431', 'visual_loss': '2.796', 'seg_loss': '0.7565', 'dino_loss': '0.8903', 'depth_loss': '0.2775', 'vggt_mse_loss': '0.2762', 'vggt_cos_loss': '0.01389', 'pidinet_loss': '0.2022', 'siglip_loss': '0.6694', 'epoch': '0.1769'} + 55%|████████████████▍ | 4918/9000 [3:09:16<4:55:10, 4.34s/it][Dataset] cur_step=4919 phase=B_anchor_generation +[Dataset] cur_step=4919 phase=B_anchor_generation +[Dataset] cur_step=4919 phase=B_anchor_generation +[Dataset] cur_step=4919 phase=B_anchor_generation +[Dataset] cur_step=4919 phase=B_anchor_generation + 55%|████████████████▍ | 4919/9000 [3:09:19<5:34:02, 4.91s/it][Dataset] cur_step=4919 phase=B_anchor_generation +[Dataset] cur_step=4919 phase=B_anchor_generation +[Dataset] cur_step=4919 phase=B_anchor_generation + {'loss': '2.636', 'grad_norm': '3.24', 'learning_rate': '2.322e-05', 'epoch': '0.177'} + 55%|████████████████▍ | 4919/9000 [3:09:19<5:34:02, 4.91s/it] {'lm_loss': '0.0001625', 'visual_loss': '2.936', 'seg_loss': '0.7622', 'dino_loss': '0.8897', 'depth_loss': '0.227', 'vggt_mse_loss': '0.2255', 'vggt_cos_loss': '0.01533', 'pidinet_loss': '0.2548', 'siglip_loss': '0.8018', 'epoch': '0.177'} + 55%|████████████████▍ | 4919/9000 [3:09:22<5:34:02, 4.91s/it][Dataset] cur_step=4920 phase=B_anchor_generation +[Dataset] cur_step=4920 phase=B_anchor_generation +[Dataset] cur_step=4920 phase=B_anchor_generation +[Dataset] cur_step=4920 phase=B_anchor_generation +[Dataset] cur_step=4920 phase=B_anchor_generation +[Dataset] cur_step=4920 phase=B_anchor_generation +[Dataset] cur_step=4920 phase=B_anchor_generation 55%|████████████████▍ | 4920/9000 [3:09:24<5:33:45, 4.91s/it] +[Dataset] cur_step=4920 phase=B_anchor_generation + {'loss': '2.838', 'grad_norm': '4.556', 'learning_rate': '2.321e-05', 'epoch': '0.177'} + 55%|████████████████▍ | 4920/9000 [3:09:24<5:33:45, 4.91s/it] {'lm_loss': '0.0002199', 'visual_loss': '2.409', 'seg_loss': '0.6405', 'dino_loss': '0.8971', 'depth_loss': '0.214', 'vggt_mse_loss': '0.2129', 'vggt_cos_loss': '0.01058', 'pidinet_loss': '0.1584', 'siglip_loss': '0.4992', 'epoch': '0.177'} + 55%|████████████████▍ | 4920/9000 [3:09:27<5:33:45, 4.91s/it][Dataset] cur_step=4921 phase=B_anchor_generation +[Dataset] cur_step=4921 phase=B_anchor_generation +[Dataset] cur_step=4921 phase=B_anchor_generation +[Dataset] cur_step=4921 phase=B_anchor_generation +[Dataset] cur_step=4921 phase=B_anchor_generation +[Dataset] cur_step=4921 phase=B_anchor_generation[Dataset] cur_step=4921 phase=B_anchor_generation + +[Dataset] cur_step=4921 phase=B_anchor_generation + 55%|████████████████▍ | 4921/9000 [3:09:30<5:54:28, 5.21s/it] {'loss': '2.713', 'grad_norm': '1.689', 'learning_rate': '2.32e-05', 'epoch': '0.177'} + 55%|████████████████▍ | 4921/9000 [3:09:30<5:54:28, 5.21s/it] {'lm_loss': '0.0005934', 'visual_loss': '2.586', 'seg_loss': '0.5541', 'dino_loss': '0.9058', 'depth_loss': '0.2321', 'vggt_mse_loss': '0.2302', 'vggt_cos_loss': '0.01929', 'pidinet_loss': '0.3139', 'siglip_loss': '0.5796', 'epoch': '0.177'} + 55%|████████████████▍ | 4921/9000 [3:09:33<5:54:28, 5.21s/it][Dataset] cur_step=4922 phase=B_anchor_generation +[Dataset] cur_step=4922 phase=B_anchor_generation +[Dataset] cur_step=4922 phase=B_anchor_generation +[Dataset] cur_step=4922 phase=B_anchor_generation +[Dataset] cur_step=4922 phase=B_anchor_generation[Dataset] cur_step=4922 phase=B_anchor_generation + +[Dataset] cur_step=4922 phase=B_anchor_generation + 55%|████████████████▍ | 4922/9000 [3:09:36<6:20:47, 5.60s/it][Dataset] cur_step=4922 phase=B_anchor_generation + {'loss': '2.62', 'grad_norm': '1.453', 'learning_rate': '2.319e-05', 'epoch': '0.1771'} + 55%|████████████████▍ | 4922/9000 [3:09:36<6:20:47, 5.60s/it] {'lm_loss': '0.0006149', 'visual_loss': '2.913', 'seg_loss': '0.7346', 'dino_loss': '0.9332', 'depth_loss': '0.2522', 'vggt_mse_loss': '0.2505', 'vggt_cos_loss': '0.01788', 'pidinet_loss': '0.2597', 'siglip_loss': '0.7333', 'epoch': '0.1771'} + 55%|████████████████▍ | 4922/9000 [3:09:40<6:20:47, 5.60s/it][Dataset] cur_step=4923 phase=B_anchor_generation +[Dataset] cur_step=4923 phase=B_anchor_generation +[Dataset] cur_step=4923 phase=B_anchor_generation +[Dataset] cur_step=4923 phase=B_anchor_generation +[Dataset] cur_step=4923 phase=B_anchor_generation +[Dataset] cur_step=4923 phase=B_anchor_generation + 55%|████████████████▍ | 4923/9000 [3:09:40<5:49:30, 5.14s/it][Dataset] cur_step=4923 phase=B_anchor_generation +[Dataset] cur_step=4923 phase=B_anchor_generation + {'loss': '2.807', 'grad_norm': '1.454', 'learning_rate': '2.318e-05', 'epoch': '0.1771'} + 55%|████████████████▍ | 4923/9000 [3:09:40<5:49:30, 5.14s/it] {'lm_loss': '0.0001066', 'visual_loss': '2.85', 'seg_loss': '0.6129', 'dino_loss': '0.9122', 'depth_loss': '0.3704', 'vggt_mse_loss': '0.3676', 'vggt_cos_loss': '0.02866', 'pidinet_loss': '0.3094', 'siglip_loss': '0.6449', 'epoch': '0.1771'} + 55%|████████████████▍ | 4923/9000 [3:09:44<5:49:30, 5.14s/it][Dataset] cur_step=4924 phase=B_anchor_generation[Dataset] cur_step=4924 phase=B_anchor_generation + +[Dataset] cur_step=4924 phase=B_anchor_generation +[Dataset] cur_step=4924 phase=B_anchor_generation +[Dataset] cur_step=4924 phase=B_anchor_generation +[Dataset] cur_step=4924 phase=B_anchor_generation[Dataset] cur_step=4924 phase=B_anchor_generation + +[Dataset] cur_step=4924 phase=B_anchor_generation + 55%|████████████████▍ | 4924/9000 [3:09:44<5:25:02, 4.78s/it] {'loss': '2.672', 'grad_norm': '1.863', 'learning_rate': '2.317e-05', 'epoch': '0.1771'} + 55%|████████████████▍ | 4924/9000 [3:09:44<5:25:02, 4.78s/it] {'lm_loss': '0.0001255', 'visual_loss': '2.793', 'seg_loss': '0.5759', 'dino_loss': '0.888', 'depth_loss': '0.3011', 'vggt_mse_loss': '0.2993', 'vggt_cos_loss': '0.01811', 'pidinet_loss': '0.2426', 'siglip_loss': '0.7859', 'epoch': '0.1771'} + 55%|████████████████▍ | 4924/9000 [3:09:47<5:25:02, 4.78s/it][Dataset] cur_step=4925 phase=B_anchor_generation +[Dataset] cur_step=4925 phase=B_anchor_generation +[Dataset] cur_step=4925 phase=B_anchor_generation +[Dataset] cur_step=4925 phase=B_anchor_generation +[Dataset] cur_step=4925 phase=B_anchor_generation +[Dataset] cur_step=4925 phase=B_anchor_generation +[Dataset] cur_step=4925 phase=B_anchor_generation[Dataset] cur_step=4925 phase=B_anchor_generation + + 55%|████████████████▍ | 4925/9000 [3:09:48<5:01:00, 4.43s/it] {'loss': '2.762', 'grad_norm': '1.768', 'learning_rate': '2.316e-05', 'epoch': '0.1772'} + 55%|████████████████▍ | 4925/9000 [3:09:48<5:01:00, 4.43s/it] {'lm_loss': '8.967e-05', 'visual_loss': '2.653', 'seg_loss': '0.7636', 'dino_loss': '0.9291', 'depth_loss': '0.2596', 'vggt_mse_loss': '0.2577', 'vggt_cos_loss': '0.01841', 'pidinet_loss': '0.2444', 'siglip_loss': '0.4568', 'epoch': '0.1772'} + 55%|████████████████▍ | 4925/9000 [3:09:51<5:01:00, 4.43s/it][Dataset] cur_step=4926 phase=B_anchor_generation[Dataset] cur_step=4926 phase=B_anchor_generation + +[Dataset] cur_step=4926 phase=B_anchor_generation +[Dataset] cur_step=4926 phase=B_anchor_generation +[Dataset] cur_step=4926 phase=B_anchor_generation +[Dataset] cur_step=4926 phase=B_anchor_generation +[Dataset] cur_step=4926 phase=B_anchor_generation +[Dataset] cur_step=4926 phase=B_anchor_generation + 55%|████████████████▍ | 4926/9000 [3:09:52<4:56:29, 4.37s/it] {'loss': '2.666', 'grad_norm': '1.635', 'learning_rate': '2.316e-05', 'epoch': '0.1772'} + 55%|████████████████▍ | 4926/9000 [3:09:52<4:56:29, 4.37s/it] {'lm_loss': '0.0002941', 'visual_loss': '2.702', 'seg_loss': '0.7459', 'dino_loss': '0.9172', 'depth_loss': '0.2478', 'vggt_mse_loss': '0.246', 'vggt_cos_loss': '0.01774', 'pidinet_loss': '0.2773', 'siglip_loss': '0.5139', 'epoch': '0.1772'} + 55%|████████████████▍ | 4926/9000 [3:09:55<4:56:29, 4.37s/it][Dataset] cur_step=4927 phase=B_anchor_generation +[Dataset] cur_step=4927 phase=B_anchor_generation[Dataset] cur_step=4927 phase=B_anchor_generation + +[Dataset] cur_step=4927 phase=B_anchor_generation +[Dataset] cur_step=4927 phase=B_anchor_generation +[Dataset] cur_step=4927 phase=B_anchor_generation +[Dataset] cur_step=4927 phase=B_anchor_generation[Dataset] cur_step=4927 phase=B_anchor_generation + + 55%|████████████████▍ | 4927/9000 [3:09:56<4:47:32, 4.24s/it] {'loss': '2.658', 'grad_norm': '2.85', 'learning_rate': '2.315e-05', 'epoch': '0.1772'} + 55%|████████████████▍ | 4927/9000 [3:09:56<4:47:32, 4.24s/it] {'lm_loss': '0.0001511', 'visual_loss': '2.748', 'seg_loss': '0.75', 'dino_loss': '0.8796', 'depth_loss': '0.2469', 'vggt_mse_loss': '0.2449', 'vggt_cos_loss': '0.01982', 'pidinet_loss': '0.3079', 'siglip_loss': '0.564', 'epoch': '0.1772'} + 55%|████████████████▍ | 4927/9000 [3:09:59<4:47:32, 4.24s/it][Dataset] cur_step=4928 phase=B_anchor_generation +[Dataset] cur_step=4928 phase=B_anchor_generation +[Dataset] cur_step=4928 phase=B_anchor_generation[Dataset] cur_step=4928 phase=B_anchor_generation + +[Dataset] cur_step=4928 phase=B_anchor_generation +[Dataset] cur_step=4928 phase=B_anchor_generation +[Dataset] cur_step=4928 phase=B_anchor_generation +[Dataset] cur_step=4928 phase=B_anchor_generation + 55%|████████████████▍ | 4928/9000 [3:10:00<4:41:43, 4.15s/it] {'loss': '2.724', 'grad_norm': '2.305', 'learning_rate': '2.314e-05', 'epoch': '0.1773'} + 55%|████████████████▍ | 4928/9000 [3:10:00<4:41:43, 4.15s/it] {'lm_loss': '0.0001789', 'visual_loss': '2.493', 'seg_loss': '0.6496', 'dino_loss': '0.9055', 'depth_loss': '0.2361', 'vggt_mse_loss': '0.2346', 'vggt_cos_loss': '0.01511', 'pidinet_loss': '0.1823', 'siglip_loss': '0.5197', 'epoch': '0.1773'} + 55%|████████████████▍ | 4928/9000 [3:10:03<4:41:43, 4.15s/it][Dataset] cur_step=4929 phase=B_anchor_generation[Dataset] cur_step=4929 phase=B_anchor_generation + +[Dataset] cur_step=4929 phase=B_anchor_generation +[Dataset] cur_step=4929 phase=B_anchor_generation +[Dataset] cur_step=4929 phase=B_anchor_generation +[Dataset] cur_step=4929 phase=B_anchor_generation +[Dataset] cur_step=4929 phase=B_anchor_generation +[Dataset] cur_step=4929 phase=B_anchor_generation + 55%|████████████████▍ | 4929/9000 [3:10:04<4:35:52, 4.07s/it] {'loss': '2.608', 'grad_norm': '1.458', 'learning_rate': '2.313e-05', 'epoch': '0.1773'} + 55%|████████████████▍ | 4929/9000 [3:10:04<4:35:52, 4.07s/it] {'lm_loss': '0.0002429', 'visual_loss': '2.615', 'seg_loss': '0.6428', 'dino_loss': '0.9029', 'depth_loss': '0.2372', 'vggt_mse_loss': '0.2357', 'vggt_cos_loss': '0.01462', 'pidinet_loss': '0.2083', 'siglip_loss': '0.6242', 'epoch': '0.1773'} + 55%|████████████████▍ | 4929/9000 [3:10:07<4:35:52, 4.07s/it][Dataset] cur_step=4930 phase=B_anchor_generation +[Dataset] cur_step=4930 phase=B_anchor_generation + 55%|████████████████▍ | 4930/9000 [3:10:10<5:17:48, 4.69s/it][Dataset] cur_step=4930 phase=B_anchor_generation +[Dataset] cur_step=4930 phase=B_anchor_generation +[Dataset] cur_step=4930 phase=B_anchor_generation[Dataset] cur_step=4930 phase=B_anchor_generation + +[Dataset] cur_step=4930 phase=B_anchor_generation[Dataset] cur_step=4930 phase=B_anchor_generation + + {'loss': '2.681', 'grad_norm': '1.406', 'learning_rate': '2.312e-05', 'epoch': '0.1774'} + 55%|████████████████▍ | 4930/9000 [3:10:10<5:17:48, 4.69s/it] {'lm_loss': '0.0001977', 'visual_loss': '2.73', 'seg_loss': '0.755', 'dino_loss': '0.8927', 'depth_loss': '0.1947', 'vggt_mse_loss': '0.1934', 'vggt_cos_loss': '0.01291', 'pidinet_loss': '0.2532', 'siglip_loss': '0.6344', 'epoch': '0.1774'} + 55%|████████████████▍ | 4930/9000 [3:10:13<5:17:48, 4.69s/it][Dataset] cur_step=4931 phase=B_anchor_generation +[Dataset] cur_step=4931 phase=B_anchor_generation +[Dataset] cur_step=4931 phase=B_anchor_generation +[Dataset] cur_step=4931 phase=B_anchor_generation +[Dataset] cur_step=4931 phase=B_anchor_generation[Dataset] cur_step=4931 phase=B_anchor_generation + + 55%|████████████████▍ | 4931/9000 [3:10:14<5:04:39, 4.49s/it][Dataset] cur_step=4931 phase=B_anchor_generation +[Dataset] cur_step=4931 phase=B_anchor_generation + {'loss': '2.635', 'grad_norm': '1.913', 'learning_rate': '2.311e-05', 'epoch': '0.1774'} + 55%|████████████████▍ | 4931/9000 [3:10:14<5:04:39, 4.49s/it] {'lm_loss': '0.0001098', 'visual_loss': '2.674', 'seg_loss': '0.658', 'dino_loss': '0.9015', 'depth_loss': '0.2986', 'vggt_mse_loss': '0.2963', 'vggt_cos_loss': '0.02288', 'pidinet_loss': '0.2675', 'siglip_loss': '0.5489', 'epoch': '0.1774'} + 55%|████████████████▍ | 4931/9000 [3:10:17<5:04:39, 4.49s/it][Dataset] cur_step=4932 phase=B_anchor_generation +[Dataset] cur_step=4932 phase=B_anchor_generation +[Dataset] cur_step=4932 phase=B_anchor_generation +[Dataset] cur_step=4932 phase=B_anchor_generation +[Dataset] cur_step=4932 phase=B_anchor_generation +[Dataset] cur_step=4932 phase=B_anchor_generation +[Dataset] cur_step=4932 phase=B_anchor_generation +[Dataset] cur_step=4932 phase=B_anchor_generation + 55%|████████████████▍ | 4932/9000 [3:10:18<4:56:24, 4.37s/it] {'loss': '2.696', 'grad_norm': '2.115', 'learning_rate': '2.31e-05', 'epoch': '0.1774'} + 55%|████████████████▍ | 4932/9000 [3:10:18<4:56:24, 4.37s/it] {'lm_loss': '0.0001869', 'visual_loss': '2.631', 'seg_loss': '0.6126', 'dino_loss': '0.8791', 'depth_loss': '0.2664', 'vggt_mse_loss': '0.2646', 'vggt_cos_loss': '0.01819', 'pidinet_loss': '0.2001', 'siglip_loss': '0.6726', 'epoch': '0.1774'} + 55%|████████████████▍ | 4932/9000 [3:10:22<4:56:24, 4.37s/it][Dataset] cur_step=4933 phase=B_anchor_generation +[Dataset] cur_step=4933 phase=B_anchor_generation +[Dataset] cur_step=4933 phase=B_anchor_generation +[Dataset] cur_step=4933 phase=B_anchor_generation +[Dataset] cur_step=4933 phase=B_anchor_generation +[Dataset] cur_step=4933 phase=B_anchor_generation + 55%|████████████████▍ | 4933/9000 [3:10:22<4:49:33, 4.27s/it][Dataset] cur_step=4933 phase=B_anchor_generation +[Dataset] cur_step=4933 phase=B_anchor_generation + {'loss': '2.644', 'grad_norm': '2.607', 'learning_rate': '2.309e-05', 'epoch': '0.1775'} + 55%|████████████████▍ | 4933/9000 [3:10:22<4:49:33, 4.27s/it] {'lm_loss': '9.219e-05', 'visual_loss': '2.673', 'seg_loss': '0.6504', 'dino_loss': '0.9078', 'depth_loss': '0.3099', 'vggt_mse_loss': '0.3078', 'vggt_cos_loss': '0.02024', 'pidinet_loss': '0.2084', 'siglip_loss': '0.5964', 'epoch': '0.1775'} + 55%|████████████████▍ | 4933/9000 [3:10:25<4:49:33, 4.27s/it][Dataset] cur_step=4934 phase=B_anchor_generation +[Dataset] cur_step=4934 phase=B_anchor_generation[Dataset] cur_step=4934 phase=B_anchor_generation +[Dataset] cur_step=4934 phase=B_anchor_generation + +[Dataset] cur_step=4934 phase=B_anchor_generation + 55%|████████████████▍ | 4934/9000 [3:10:26<4:38:40, 4.11s/it][Dataset] cur_step=4934 phase=B_anchor_generation[Dataset] cur_step=4934 phase=B_anchor_generation + +[Dataset] cur_step=4934 phase=B_anchor_generation + {'loss': '2.753', 'grad_norm': '1.943', 'learning_rate': '2.308e-05', 'epoch': '0.1775'} + 55%|████████████████▍ | 4934/9000 [3:10:26<4:38:40, 4.11s/it] {'lm_loss': '0.0001056', 'visual_loss': '2.787', 'seg_loss': '0.8015', 'dino_loss': '0.9087', 'depth_loss': '0.2429', 'vggt_mse_loss': '0.241', 'vggt_cos_loss': '0.01866', 'pidinet_loss': '0.2791', 'siglip_loss': '0.5546', 'epoch': '0.1775'} + 55%|████████████████▍ | 4934/9000 [3:10:29<4:38:40, 4.11s/it][Dataset] cur_step=4935 phase=B_anchor_generation +[Dataset] cur_step=4935 phase=B_anchor_generation[Dataset] cur_step=4935 phase=B_anchor_generation + +[Dataset] cur_step=4935 phase=B_anchor_generation +[Dataset] cur_step=4935 phase=B_anchor_generation +[Dataset] cur_step=4935 phase=B_anchor_generation +[Dataset] cur_step=4935 phase=B_anchor_generation + 55%|████████████████▍ | 4935/9000 [3:10:30<4:38:59, 4.12s/it][Dataset] cur_step=4935 phase=B_anchor_generation + {'loss': '2.853', 'grad_norm': '1.854', 'learning_rate': '2.307e-05', 'epoch': '0.1775'} + 55%|████████████████▍ | 4935/9000 [3:10:30<4:38:59, 4.12s/it] {'lm_loss': '0.0001098', 'visual_loss': '2.901', 'seg_loss': '0.8049', 'dino_loss': '0.9373', 'depth_loss': '0.3661', 'vggt_mse_loss': '0.3642', 'vggt_cos_loss': '0.0193', 'pidinet_loss': '0.2229', 'siglip_loss': '0.5693', 'epoch': '0.1775'} + 55%|████████████████▍ | 4935/9000 [3:10:33<4:38:59, 4.12s/it][Dataset] cur_step=4936 phase=B_anchor_generation +[Dataset] cur_step=4936 phase=B_anchor_generation +[Dataset] cur_step=4936 phase=B_anchor_generation +[Dataset] cur_step=4936 phase=B_anchor_generation[Dataset] cur_step=4936 phase=B_anchor_generation + +[Dataset] cur_step=4936 phase=B_anchor_generation[Dataset] cur_step=4936 phase=B_anchor_generation + + 55%|████████████████▍ | 4936/9000 [3:10:34<4:48:20, 4.26s/it][Dataset] cur_step=4936 phase=B_anchor_generation + {'loss': '2.703', 'grad_norm': '2.267', 'learning_rate': '2.306e-05', 'epoch': '0.1776'} + 55%|████████████████▍ | 4936/9000 [3:10:34<4:48:20, 4.26s/it] {'lm_loss': '0.000123', 'visual_loss': '2.977', 'seg_loss': '0.8211', 'dino_loss': '0.8972', 'depth_loss': '0.3213', 'vggt_mse_loss': '0.3192', 'vggt_cos_loss': '0.02089', 'pidinet_loss': '0.2859', 'siglip_loss': '0.6515', 'epoch': '0.1776'} + 55%|████████████████▍ | 4936/9000 [3:10:38<4:48:20, 4.26s/it][Dataset] cur_step=4937 phase=B_anchor_generation +[Dataset] cur_step=4937 phase=B_anchor_generation[Dataset] cur_step=4937 phase=B_anchor_generation + +[Dataset] cur_step=4937 phase=B_anchor_generation +[Dataset] cur_step=4937 phase=B_anchor_generation +[Dataset] cur_step=4937 phase=B_anchor_generation[Dataset] cur_step=4937 phase=B_anchor_generation + +[Dataset] cur_step=4937 phase=B_anchor_generation + 55%|████████████████▍ | 4937/9000 [3:10:38<4:40:28, 4.14s/it] {'loss': '2.653', 'grad_norm': '1.824', 'learning_rate': '2.305e-05', 'epoch': '0.1776'} + 55%|████████████████▍ | 4937/9000 [3:10:38<4:40:28, 4.14s/it] {'lm_loss': '9.978e-05', 'visual_loss': '2.839', 'seg_loss': '0.6729', 'dino_loss': '0.9354', 'depth_loss': '0.3046', 'vggt_mse_loss': '0.3022', 'vggt_cos_loss': '0.02389', 'pidinet_loss': '0.3025', 'siglip_loss': '0.6237', 'epoch': '0.1776'} + 55%|████████████████▍ | 4937/9000 [3:10:42<4:40:28, 4.14s/it][Dataset] cur_step=4938 phase=B_anchor_generation +[Dataset] cur_step=4938 phase=B_anchor_generation +[Dataset] cur_step=4938 phase=B_anchor_generation +[Dataset] cur_step=4938 phase=B_anchor_generation + 55%|████████████████▍ | 4938/9000 [3:10:42<4:37:24, 4.10s/it][Dataset] cur_step=4938 phase=B_anchor_generation +[Dataset] cur_step=4938 phase=B_anchor_generation +[Dataset] cur_step=4938 phase=B_anchor_generation[Dataset] cur_step=4938 phase=B_anchor_generation + + {'loss': '2.683', 'grad_norm': '1.489', 'learning_rate': '2.305e-05', 'epoch': '0.1776'} + 55%|████████████████▍ | 4938/9000 [3:10:42<4:37:24, 4.10s/it] {'lm_loss': '0.000301', 'visual_loss': '2.475', 'seg_loss': '0.7054', 'dino_loss': '0.9033', 'depth_loss': '0.2204', 'vggt_mse_loss': '0.2189', 'vggt_cos_loss': '0.01484', 'pidinet_loss': '0.1888', 'siglip_loss': '0.4571', 'epoch': '0.1776'} + 55%|████████████████▍ | 4938/9000 [3:10:45<4:37:24, 4.10s/it][Dataset] cur_step=4939 phase=B_anchor_generation +[Dataset] cur_step=4939 phase=B_anchor_generation[Dataset] cur_step=4939 phase=B_anchor_generation + +[Dataset] cur_step=4939 phase=B_anchor_generation +[Dataset] cur_step=4939 phase=B_anchor_generation +[Dataset] cur_step=4939 phase=B_anchor_generation +[Dataset] cur_step=4939 phase=B_anchor_generation +[Dataset] cur_step=4939 phase=B_anchor_generation + 55%|████████████████▍ | 4939/9000 [3:10:46<4:27:58, 3.96s/it] {'loss': '2.683', 'grad_norm': '2.18', 'learning_rate': '2.304e-05', 'epoch': '0.1777'} + 55%|████████████████▍ | 4939/9000 [3:10:46<4:27:58, 3.96s/it] {'lm_loss': '7.368e-05', 'visual_loss': '2.704', 'seg_loss': '0.6454', 'dino_loss': '0.9068', 'depth_loss': '0.2345', 'vggt_mse_loss': '0.2329', 'vggt_cos_loss': '0.01603', 'pidinet_loss': '0.2043', 'siglip_loss': '0.7132', 'epoch': '0.1777'} + 55%|████████████████▍ | 4939/9000 [3:10:49<4:27:58, 3.96s/it][Dataset] cur_step=4940 phase=B_anchor_generation[Dataset] cur_step=4940 phase=B_anchor_generation + +[Dataset] cur_step=4940 phase=B_anchor_generation[Dataset] cur_step=4940 phase=B_anchor_generation[Dataset] cur_step=4940 phase=B_anchor_generation + + +[Dataset] cur_step=4940 phase=B_anchor_generation[Dataset] cur_step=4940 phase=B_anchor_generation + + 55%|████████████████▍ | 4940/9000 [3:10:50<4:23:12, 3.89s/it][Dataset] cur_step=4940 phase=B_anchor_generation + {'loss': '2.689', 'grad_norm': '1.531', 'learning_rate': '2.303e-05', 'epoch': '0.1777'} + 55%|████████████████▍ | 4940/9000 [3:10:50<4:23:12, 3.89s/it] {'lm_loss': '0.0001611', 'visual_loss': '2.679', 'seg_loss': '0.7544', 'dino_loss': '0.894', 'depth_loss': '0.2292', 'vggt_mse_loss': '0.2277', 'vggt_cos_loss': '0.015', 'pidinet_loss': '0.1891', 'siglip_loss': '0.6124', 'epoch': '0.1777'} + 55%|████████████████▍ | 4940/9000 [3:10:53<4:23:12, 3.89s/it][Dataset] cur_step=4941 phase=B_anchor_generation +[Dataset] cur_step=4941 phase=B_anchor_generation[Dataset] cur_step=4941 phase=B_anchor_generation[Dataset] cur_step=4941 phase=B_anchor_generation + +[Dataset] cur_step=4941 phase=B_anchor_generation +[Dataset] cur_step=4941 phase=B_anchor_generation + +[Dataset] cur_step=4941 phase=B_anchor_generation +[Dataset] cur_step=4941 phase=B_anchor_generation + 55%|████████████████▍ | 4941/9000 [3:10:53<4:20:35, 3.85s/it] {'loss': '2.689', 'grad_norm': '2.665', 'learning_rate': '2.302e-05', 'epoch': '0.1778'} + 55%|████████████████▍ | 4941/9000 [3:10:53<4:20:35, 3.85s/it] {'lm_loss': '0.0001012', 'visual_loss': '2.82', 'seg_loss': '0.7631', 'dino_loss': '0.9052', 'depth_loss': '0.2946', 'vggt_mse_loss': '0.2929', 'vggt_cos_loss': '0.01709', 'pidinet_loss': '0.2267', 'siglip_loss': '0.6302', 'epoch': '0.1778'} + 55%|████████████████▍ | 4941/9000 [3:10:57<4:20:35, 3.85s/it][Dataset] cur_step=4942 phase=B_anchor_generation +[Dataset] cur_step=4942 phase=B_anchor_generation +[Dataset] cur_step=4942 phase=B_anchor_generation[Dataset] cur_step=4942 phase=B_anchor_generation + +[Dataset] cur_step=4942 phase=B_anchor_generation +[Dataset] cur_step=4942 phase=B_anchor_generation[Dataset] cur_step=4942 phase=B_anchor_generation + + 55%|████████████████▍ | 4942/9000 [3:10:58<4:36:00, 4.08s/it][Dataset] cur_step=4942 phase=B_anchor_generation + {'loss': '2.683', 'grad_norm': '3.654', 'learning_rate': '2.301e-05', 'epoch': '0.1778'} + 55%|████████████████▍ | 4942/9000 [3:10:58<4:36:00, 4.08s/it] {'lm_loss': '0.0002958', 'visual_loss': '2.414', 'seg_loss': '0.637', 'dino_loss': '0.886', 'depth_loss': '0.196', 'vggt_mse_loss': '0.1946', 'vggt_cos_loss': '0.01339', 'pidinet_loss': '0.1773', 'siglip_loss': '0.5173', 'epoch': '0.1778'} + 55%|████████████████▍ | 4942/9000 [3:11:01<4:36:00, 4.08s/it][Dataset] cur_step=4943 phase=B_anchor_generation +[Dataset] cur_step=4943 phase=B_anchor_generation +[Dataset] cur_step=4943 phase=B_anchor_generation +[Dataset] cur_step=4943 phase=B_anchor_generation[Dataset] cur_step=4943 phase=B_anchor_generation + +[Dataset] cur_step=4943 phase=B_anchor_generation +[Dataset] cur_step=4943 phase=B_anchor_generation +[Dataset] cur_step=4943 phase=B_anchor_generation + 55%|████████████████▍ | 4943/9000 [3:11:02<4:34:31, 4.06s/it] {'loss': '2.692', 'grad_norm': '1.905', 'learning_rate': '2.3e-05', 'epoch': '0.1778'} + 55%|████████████████▍ | 4943/9000 [3:11:02<4:34:31, 4.06s/it] {'lm_loss': '7.982e-05', 'visual_loss': '2.86', 'seg_loss': '0.8055', 'dino_loss': '0.8957', 'depth_loss': '0.1879', 'vggt_mse_loss': '0.1866', 'vggt_cos_loss': '0.01302', 'pidinet_loss': '0.2911', 'siglip_loss': '0.6799', 'epoch': '0.1778'} + 55%|████████████████▍ | 4943/9000 [3:11:05<4:34:31, 4.06s/it][Dataset] cur_step=4944 phase=B_anchor_generation +[Dataset] cur_step=4944 phase=B_anchor_generation +[Dataset] cur_step=4944 phase=B_anchor_generation + 55%|████████████████▍ | 4944/9000 [3:11:06<4:31:11, 4.01s/it][Dataset] cur_step=4944 phase=B_anchor_generation +[Dataset] cur_step=4944 phase=B_anchor_generation +[Dataset] cur_step=4944 phase=B_anchor_generation +[Dataset] cur_step=4944 phase=B_anchor_generation +[Dataset] cur_step=4944 phase=B_anchor_generation + {'loss': '2.683', 'grad_norm': '5.353', 'learning_rate': '2.299e-05', 'epoch': '0.1779'} + 55%|████████████████▍ | 4944/9000 [3:11:06<4:31:11, 4.01s/it] {'lm_loss': '0.000155', 'visual_loss': '2.837', 'seg_loss': '0.7286', 'dino_loss': '0.9055', 'depth_loss': '0.3413', 'vggt_mse_loss': '0.3388', 'vggt_cos_loss': '0.0255', 'pidinet_loss': '0.2026', 'siglip_loss': '0.6594', 'epoch': '0.1779'} + 55%|████████████████▍ | 4944/9000 [3:11:09<4:31:11, 4.01s/it][Dataset] cur_step=4945 phase=B_anchor_generation +[Dataset] cur_step=4945 phase=B_anchor_generation[Dataset] cur_step=4945 phase=B_anchor_generation + +[Dataset] cur_step=4945 phase=B_anchor_generation +[Dataset] cur_step=4945 phase=B_anchor_generation +[Dataset] cur_step=4945 phase=B_anchor_generation[Dataset] cur_step=4945 phase=B_anchor_generation + +[Dataset] cur_step=4945 phase=B_anchor_generation + 55%|████████████████▍ | 4945/9000 [3:11:10<4:31:33, 4.02s/it] {'loss': '2.59', 'grad_norm': '1.629', 'learning_rate': '2.298e-05', 'epoch': '0.1779'} + 55%|████████████████▍ | 4945/9000 [3:11:10<4:31:33, 4.02s/it] {'lm_loss': '0.0001894', 'visual_loss': '2.726', 'seg_loss': '0.7359', 'dino_loss': '0.9327', 'depth_loss': '0.2161', 'vggt_mse_loss': '0.2145', 'vggt_cos_loss': '0.01585', 'pidinet_loss': '0.2583', 'siglip_loss': '0.5831', 'epoch': '0.1779'} + 55%|████████████████▍ | 4945/9000 [3:11:13<4:31:33, 4.02s/it][Dataset] cur_step=4946 phase=B_anchor_generation +[Dataset] cur_step=4946 phase=B_anchor_generation +[Dataset] cur_step=4946 phase=B_anchor_generation[Dataset] cur_step=4946 phase=B_anchor_generation + +[Dataset] cur_step=4946 phase=B_anchor_generation +[Dataset] cur_step=4946 phase=B_anchor_generation +[Dataset] cur_step=4946 phase=B_anchor_generation + 55%|████████████████▍ | 4946/9000 [3:11:14<4:33:47, 4.05s/it][Dataset] cur_step=4946 phase=B_anchor_generation + {'loss': '2.67', 'grad_norm': '4.682', 'learning_rate': '2.297e-05', 'epoch': '0.1779'} + 55%|████████████████▍ | 4946/9000 [3:11:14<4:33:47, 4.05s/it] {'lm_loss': '0.0001499', 'visual_loss': '2.558', 'seg_loss': '0.7879', 'dino_loss': '0.8985', 'depth_loss': '0.1879', 'vggt_mse_loss': '0.187', 'vggt_cos_loss': '0.00972', 'pidinet_loss': '0.2326', 'siglip_loss': '0.4506', 'epoch': '0.1779'} + 55%|████████████████▍ | 4946/9000 [3:11:17<4:33:47, 4.05s/it][Dataset] cur_step=4947 phase=B_anchor_generation +[Dataset] cur_step=4947 phase=B_anchor_generation +[Dataset] cur_step=4947 phase=B_anchor_generation +[Dataset] cur_step=4947 phase=B_anchor_generation[Dataset] cur_step=4947 phase=B_anchor_generation + +[Dataset] cur_step=4947 phase=B_anchor_generation +[Dataset] cur_step=4947 phase=B_anchor_generation +[Dataset] cur_step=4947 phase=B_anchor_generation + 55%|████████████████▍ | 4947/9000 [3:11:18<4:26:56, 3.95s/it] {'loss': '2.723', 'grad_norm': '1.428', 'learning_rate': '2.296e-05', 'epoch': '0.178'} + 55%|████████████████▍ | 4947/9000 [3:11:18<4:26:56, 3.95s/it] {'lm_loss': '0.0001326', 'visual_loss': '2.831', 'seg_loss': '0.7917', 'dino_loss': '0.9506', 'depth_loss': '0.2248', 'vggt_mse_loss': '0.2231', 'vggt_cos_loss': '0.01655', 'pidinet_loss': '0.2472', 'siglip_loss': '0.6168', 'epoch': '0.178'} + 55%|████████████████▍ | 4947/9000 [3:11:21<4:26:56, 3.95s/it][Dataset] cur_step=4948 phase=B_anchor_generation +[Dataset] cur_step=4948 phase=B_anchor_generation +[Dataset] cur_step=4948 phase=B_anchor_generation +[Dataset] cur_step=4948 phase=B_anchor_generation[Dataset] cur_step=4948 phase=B_anchor_generation + +[Dataset] cur_step=4948 phase=B_anchor_generation[Dataset] cur_step=4948 phase=B_anchor_generation +[Dataset] cur_step=4948 phase=B_anchor_generation + + 55%|████████████████▍ | 4948/9000 [3:11:22<4:38:19, 4.12s/it] {'loss': '2.681', 'grad_norm': '1.816', 'learning_rate': '2.295e-05', 'epoch': '0.178'} + 55%|████████████████▍ | 4948/9000 [3:11:22<4:38:19, 4.12s/it] {'lm_loss': '0.0001256', 'visual_loss': '2.897', 'seg_loss': '0.7943', 'dino_loss': '0.9087', 'depth_loss': '0.2408', 'vggt_mse_loss': '0.2395', 'vggt_cos_loss': '0.01271', 'pidinet_loss': '0.2553', 'siglip_loss': '0.6975', 'epoch': '0.178'} + 55%|████████████████▍ | 4948/9000 [3:11:26<4:38:19, 4.12s/it][Dataset] cur_step=4949 phase=B_anchor_generation +[Dataset] cur_step=4949 phase=B_anchor_generation +[Dataset] cur_step=4949 phase=B_anchor_generation[Dataset] cur_step=4949 phase=B_anchor_generation + +[Dataset] cur_step=4949 phase=B_anchor_generation +[Dataset] cur_step=4949 phase=B_anchor_generation +[Dataset] cur_step=4949 phase=B_anchor_generation +[Dataset] cur_step=4949 phase=B_anchor_generation + 55%|████████████████▍ | 4949/9000 [3:11:26<4:36:30, 4.10s/it] {'loss': '2.683', 'grad_norm': '1.222', 'learning_rate': '2.294e-05', 'epoch': '0.178'} + 55%|████████████████▍ | 4949/9000 [3:11:26<4:36:30, 4.10s/it] {'lm_loss': '0.0001578', 'visual_loss': '2.199', 'seg_loss': '0.5204', 'dino_loss': '0.8554', 'depth_loss': '0.2319', 'vggt_mse_loss': '0.2307', 'vggt_cos_loss': '0.01252', 'pidinet_loss': '0.2008', 'siglip_loss': '0.3904', 'epoch': '0.178'} + 55%|████████████████▍ | 4949/9000 [3:11:30<4:36:30, 4.10s/it][Dataset] cur_step=4950 phase=B_anchor_generation +[Dataset] cur_step=4950 phase=B_anchor_generation +[Dataset] cur_step=4950 phase=B_anchor_generation +[Dataset] cur_step=4950 phase=B_anchor_generation[Dataset] cur_step=4950 phase=B_anchor_generation + +[Dataset] cur_step=4950 phase=B_anchor_generation + 55%|████████████████▌ | 4950/9000 [3:11:31<4:39:30, 4.14s/it][Dataset] cur_step=4950 phase=B_anchor_generation +[Dataset] cur_step=4950 phase=B_anchor_generation + {'loss': '2.604', 'grad_norm': '4.048', 'learning_rate': '2.294e-05', 'epoch': '0.1781'} + 55%|████████████████▌ | 4950/9000 [3:11:31<4:39:30, 4.14s/it] {'lm_loss': '0.0001493', 'visual_loss': '2.445', 'seg_loss': '0.6241', 'dino_loss': '0.8972', 'depth_loss': '0.233', 'vggt_mse_loss': '0.2317', 'vggt_cos_loss': '0.01319', 'pidinet_loss': '0.2067', 'siglip_loss': '0.4842', 'epoch': '0.1781'} + 55%|████████████████▌ | 4950/9000 [3:11:34<4:39:30, 4.14s/it][Dataset] cur_step=4951 phase=B_anchor_generation +[Dataset] cur_step=4951 phase=B_anchor_generation +[Dataset] cur_step=4951 phase=B_anchor_generation +[Dataset] cur_step=4951 phase=B_anchor_generation +[Dataset] cur_step=4951 phase=B_anchor_generation +[Dataset] cur_step=4951 phase=B_anchor_generation +[Dataset] cur_step=4951 phase=B_anchor_generation + 55%|████████████████▌ | 4951/9000 [3:11:35<4:33:39, 4.06s/it][Dataset] cur_step=4951 phase=B_anchor_generation + {'loss': '2.712', 'grad_norm': '1.619', 'learning_rate': '2.293e-05', 'epoch': '0.1781'} + 55%|████████████████▌ | 4951/9000 [3:11:35<4:33:39, 4.06s/it] {'lm_loss': '9.697e-05', 'visual_loss': '2.766', 'seg_loss': '0.6651', 'dino_loss': '0.9362', 'depth_loss': '0.252', 'vggt_mse_loss': '0.2507', 'vggt_cos_loss': '0.0134', 'pidinet_loss': '0.2681', 'siglip_loss': '0.6445', 'epoch': '0.1781'} + 55%|████████████████▌ | 4951/9000 [3:11:38<4:33:39, 4.06s/it][Dataset] cur_step=4952 phase=B_anchor_generation +[Dataset] cur_step=4952 phase=B_anchor_generation +[Dataset] cur_step=4952 phase=B_anchor_generation +[Dataset] cur_step=4952 phase=B_anchor_generation[Dataset] cur_step=4952 phase=B_anchor_generation + +[Dataset] cur_step=4952 phase=B_anchor_generation + 55%|████████████████▌ | 4952/9000 [3:11:39<4:38:04, 4.12s/it][Dataset] cur_step=4952 phase=B_anchor_generation +[Dataset] cur_step=4952 phase=B_anchor_generation + {'loss': '2.717', 'grad_norm': '2.905', 'learning_rate': '2.292e-05', 'epoch': '0.1781'} + 55%|████████████████▌ | 4952/9000 [3:11:39<4:38:04, 4.12s/it] {'lm_loss': '0.0001581', 'visual_loss': '2.625', 'seg_loss': '0.6501', 'dino_loss': '0.9055', 'depth_loss': '0.2563', 'vggt_mse_loss': '0.2542', 'vggt_cos_loss': '0.02035', 'pidinet_loss': '0.2494', 'siglip_loss': '0.564', 'epoch': '0.1781'} + 55%|████████████████▌ | 4952/9000 [3:11:43<4:38:04, 4.12s/it][Dataset] cur_step=4953 phase=B_anchor_generation +[Dataset] cur_step=4953 phase=B_anchor_generation + 55%|████████████████▌ | 4953/9000 [3:11:43<4:37:16, 4.11s/it][Dataset] cur_step=4953 phase=B_anchor_generation[Dataset] cur_step=4953 phase=B_anchor_generation + +[Dataset] cur_step=4953 phase=B_anchor_generation[Dataset] cur_step=4953 phase=B_anchor_generation + +[Dataset] cur_step=4953 phase=B_anchor_generation[Dataset] cur_step=4953 phase=B_anchor_generation + + {'loss': '2.783', 'grad_norm': '2.226', 'learning_rate': '2.291e-05', 'epoch': '0.1782'} + 55%|████████████████▌ | 4953/9000 [3:11:43<4:37:16, 4.11s/it] {'lm_loss': '0.0001491', 'visual_loss': '2.387', 'seg_loss': '0.5159', 'dino_loss': '0.8908', 'depth_loss': '0.2385', 'vggt_mse_loss': '0.2372', 'vggt_cos_loss': '0.01353', 'pidinet_loss': '0.2478', 'siglip_loss': '0.4939', 'epoch': '0.1782'} + 55%|████████████████▌ | 4953/9000 [3:11:46<4:37:16, 4.11s/it][Dataset] cur_step=4954 phase=B_anchor_generation +[Dataset] cur_step=4954 phase=B_anchor_generation +[Dataset] cur_step=4954 phase=B_anchor_generation +[Dataset] cur_step=4954 phase=B_anchor_generation[Dataset] cur_step=4954 phase=B_anchor_generation + +[Dataset] cur_step=4954 phase=B_anchor_generation 55%|████████████████▌ | 4954/9000 [3:11:47<4:33:24, 4.05s/it] +[Dataset] cur_step=4954 phase=B_anchor_generation +[Dataset] cur_step=4954 phase=B_anchor_generation + {'loss': '2.66', 'grad_norm': '1.634', 'learning_rate': '2.29e-05', 'epoch': '0.1782'} + 55%|████████████████▌ | 4954/9000 [3:11:47<4:33:24, 4.05s/it] {'lm_loss': '0.0001103', 'visual_loss': '2.809', 'seg_loss': '0.7511', 'dino_loss': '0.9144', 'depth_loss': '0.3002', 'vggt_mse_loss': '0.2982', 'vggt_cos_loss': '0.01925', 'pidinet_loss': '0.24', 'siglip_loss': '0.6039', 'epoch': '0.1782'} + 55%|████████████████▌ | 4954/9000 [3:11:50<4:33:24, 4.05s/it][Dataset] cur_step=4955 phase=B_anchor_generation +[Dataset] cur_step=4955 phase=B_anchor_generation +[Dataset] cur_step=4955 phase=B_anchor_generation +[Dataset] cur_step=4955 phase=B_anchor_generation[Dataset] cur_step=4955 phase=B_anchor_generation + +[Dataset] cur_step=4955 phase=B_anchor_generation[Dataset] cur_step=4955 phase=B_anchor_generation + +[Dataset] cur_step=4955 phase=B_anchor_generation + 55%|████████████████▌ | 4955/9000 [3:11:51<4:28:02, 3.98s/it] {'loss': '2.7', 'grad_norm': '1.324', 'learning_rate': '2.289e-05', 'epoch': '0.1783'} + 55%|████████████████▌ | 4955/9000 [3:11:51<4:28:02, 3.98s/it] {'lm_loss': '0.0001959', 'visual_loss': '2.821', 'seg_loss': '0.7318', 'dino_loss': '0.8958', 'depth_loss': '0.1904', 'vggt_mse_loss': '0.1892', 'vggt_cos_loss': '0.01209', 'pidinet_loss': '0.2364', 'siglip_loss': '0.767', 'epoch': '0.1783'} + 55%|████████████████▌ | 4955/9000 [3:11:53<4:28:02, 3.98s/it][Dataset] cur_step=4956 phase=B_anchor_generation +[Dataset] cur_step=4956 phase=B_anchor_generation +[Dataset] cur_step=4956 phase=B_anchor_generation +[Dataset] cur_step=4956 phase=B_anchor_generation[Dataset] cur_step=4956 phase=B_anchor_generation + +[Dataset] cur_step=4956 phase=B_anchor_generation +[Dataset] cur_step=4956 phase=B_anchor_generation + 55%|████████████████▌ | 4956/9000 [3:11:54<4:22:14, 3.89s/it][Dataset] cur_step=4956 phase=B_anchor_generation + {'loss': '2.633', 'grad_norm': '41.92', 'learning_rate': '2.288e-05', 'epoch': '0.1783'} + 55%|████████████████▌ | 4956/9000 [3:11:54<4:22:14, 3.89s/it] {'lm_loss': '0.0001528', 'visual_loss': '3.115', 'seg_loss': '0.7256', 'dino_loss': '0.9226', 'depth_loss': '0.3722', 'vggt_mse_loss': '0.3694', 'vggt_cos_loss': '0.02778', 'pidinet_loss': '0.2372', 'siglip_loss': '0.8574', 'epoch': '0.1783'} + 55%|████████████████▌ | 4956/9000 [3:11:57<4:22:14, 3.89s/it][Dataset] cur_step=4957 phase=B_anchor_generation +[Dataset] cur_step=4957 phase=B_anchor_generation +[Dataset] cur_step=4957 phase=B_anchor_generation +[Dataset] cur_step=4957 phase=B_anchor_generation +[Dataset] cur_step=4957 phase=B_anchor_generation +[Dataset] cur_step=4957 phase=B_anchor_generation +[Dataset] cur_step=4957 phase=B_anchor_generation +[Dataset] cur_step=4957 phase=B_anchor_generation + 55%|████████████████▌ | 4957/9000 [3:11:58<4:28:45, 3.99s/it] {'loss': '2.748', 'grad_norm': '1.532', 'learning_rate': '2.287e-05', 'epoch': '0.1783'} + 55%|████████████████▌ | 4957/9000 [3:11:58<4:28:45, 3.99s/it] {'lm_loss': '0.0001302', 'visual_loss': '2.425', 'seg_loss': '0.6695', 'dino_loss': '0.9064', 'depth_loss': '0.2888', 'vggt_mse_loss': '0.287', 'vggt_cos_loss': '0.01835', 'pidinet_loss': '0.2095', 'siglip_loss': '0.3508', 'epoch': '0.1783'} + 55%|████████████████▌ | 4957/9000 [3:12:02<4:28:45, 3.99s/it][Dataset] cur_step=4958 phase=B_anchor_generation +[Dataset] cur_step=4958 phase=B_anchor_generation[Dataset] cur_step=4958 phase=B_anchor_generation + +[Dataset] cur_step=4958 phase=B_anchor_generation +[Dataset] cur_step=4958 phase=B_anchor_generation +[Dataset] cur_step=4958 phase=B_anchor_generation +[Dataset] cur_step=4958 phase=B_anchor_generation[Dataset] cur_step=4958 phase=B_anchor_generation + + 55%|████████████████▌ | 4958/9000 [3:12:02<4:25:58, 3.95s/it] {'loss': '2.619', 'grad_norm': '1.823', 'learning_rate': '2.286e-05', 'epoch': '0.1784'} + 55%|████████████████▌ | 4958/9000 [3:12:02<4:25:58, 3.95s/it] {'lm_loss': '0.0001518', 'visual_loss': '2.64', 'seg_loss': '0.6619', 'dino_loss': '0.9295', 'depth_loss': '0.2325', 'vggt_mse_loss': '0.2308', 'vggt_cos_loss': '0.01628', 'pidinet_loss': '0.2649', 'siglip_loss': '0.5514', 'epoch': '0.1784'} + 55%|████████████████▌ | 4958/9000 [3:12:05<4:25:58, 3.95s/it][Dataset] cur_step=4959 phase=B_anchor_generation +[Dataset] cur_step=4959 phase=B_anchor_generation +[Dataset] cur_step=4959 phase=B_anchor_generation +[Dataset] cur_step=4959 phase=B_anchor_generation +[Dataset] cur_step=4959 phase=B_anchor_generation + 55%|████████████████▌ | 4959/9000 [3:12:06<4:25:26, 3.94s/it][Dataset] cur_step=4959 phase=B_anchor_generation +[Dataset] cur_step=4959 phase=B_anchor_generation +[Dataset] cur_step=4959 phase=B_anchor_generation + {'loss': '2.742', 'grad_norm': '1.838', 'learning_rate': '2.285e-05', 'epoch': '0.1784'} + 55%|████████████████▌ | 4959/9000 [3:12:06<4:25:26, 3.94s/it] {'lm_loss': '0.0001937', 'visual_loss': '2.696', 'seg_loss': '0.67', 'dino_loss': '0.9243', 'depth_loss': '0.2752', 'vggt_mse_loss': '0.2733', 'vggt_cos_loss': '0.01883', 'pidinet_loss': '0.2193', 'siglip_loss': '0.6069', 'epoch': '0.1784'} + 55%|████████████████▌ | 4959/9000 [3:12:10<4:25:26, 3.94s/it][Dataset] cur_step=4960 phase=B_anchor_generation[Dataset] cur_step=4960 phase=B_anchor_generation + +[Dataset] cur_step=4960 phase=B_anchor_generation[Dataset] cur_step=4960 phase=B_anchor_generation +[Dataset] cur_step=4960 phase=B_anchor_generation 55%|████████████████▌ | 4960/9000 [3:12:11<4:36:19, 4.10s/it] + +[Dataset] cur_step=4960 phase=B_anchor_generation[Dataset] cur_step=4960 phase=B_anchor_generation + +[Dataset] cur_step=4960 phase=B_anchor_generation + {'loss': '2.8', 'grad_norm': '1.384', 'learning_rate': '2.284e-05', 'epoch': '0.1784'} + 55%|████████████████▌ | 4960/9000 [3:12:11<4:36:19, 4.10s/it] {'lm_loss': '0.0001247', 'visual_loss': '2.511', 'seg_loss': '0.6528', 'dino_loss': '0.9151', 'depth_loss': '0.2162', 'vggt_mse_loss': '0.2147', 'vggt_cos_loss': '0.01508', 'pidinet_loss': '0.2218', 'siglip_loss': '0.505', 'epoch': '0.1784'} + 55%|████████████████▌ | 4960/9000 [3:12:14<4:36:19, 4.10s/it][Dataset] cur_step=4961 phase=B_anchor_generation +[Dataset] cur_step=4961 phase=B_anchor_generation +[Dataset] cur_step=4961 phase=B_anchor_generation + 55%|████████████████▌ | 4961/9000 [3:12:15<4:34:32, 4.08s/it][Dataset] cur_step=4961 phase=B_anchor_generation +[Dataset] cur_step=4961 phase=B_anchor_generation +[Dataset] cur_step=4961 phase=B_anchor_generation[Dataset] cur_step=4961 phase=B_anchor_generation + +[Dataset] cur_step=4961 phase=B_anchor_generation + {'loss': '2.679', 'grad_norm': '1.462', 'learning_rate': '2.283e-05', 'epoch': '0.1785'} + 55%|████████████████▌ | 4961/9000 [3:12:15<4:34:32, 4.08s/it] {'lm_loss': '6.792e-05', 'visual_loss': '2.969', 'seg_loss': '0.8402', 'dino_loss': '0.9317', 'depth_loss': '0.3203', 'vggt_mse_loss': '0.3179', 'vggt_cos_loss': '0.02474', 'pidinet_loss': '0.2353', 'siglip_loss': '0.6413', 'epoch': '0.1785'} + 55%|████████████████▌ | 4961/9000 [3:12:18<4:34:32, 4.08s/it][Dataset] cur_step=4962 phase=B_anchor_generation +[Dataset] cur_step=4962 phase=B_anchor_generation[Dataset] cur_step=4962 phase=B_anchor_generation + +[Dataset] cur_step=4962 phase=B_anchor_generation[Dataset] cur_step=4962 phase=B_anchor_generation[Dataset] cur_step=4962 phase=B_anchor_generation + + + 55%|████████████████▌ | 4962/9000 [3:12:19<4:29:37, 4.01s/it][Dataset] cur_step=4962 phase=B_anchor_generation +[Dataset] cur_step=4962 phase=B_anchor_generation + {'loss': '2.746', 'grad_norm': '1.405', 'learning_rate': '2.283e-05', 'epoch': '0.1785'} + 55%|████████████████▌ | 4962/9000 [3:12:19<4:29:37, 4.01s/it] {'lm_loss': '0.0002857', 'visual_loss': '2.879', 'seg_loss': '0.6612', 'dino_loss': '0.9261', 'depth_loss': '0.2539', 'vggt_mse_loss': '0.2519', 'vggt_cos_loss': '0.01935', 'pidinet_loss': '0.3023', 'siglip_loss': '0.736', 'epoch': '0.1785'} + 55%|████████████████▌ | 4962/9000 [3:12:22<4:29:37, 4.01s/it][Dataset] cur_step=4963 phase=B_anchor_generation +[Dataset] cur_step=4963 phase=B_anchor_generation +[Dataset] cur_step=4963 phase=B_anchor_generation +[Dataset] cur_step=4963 phase=B_anchor_generation[Dataset] cur_step=4963 phase=B_anchor_generation +[Dataset] cur_step=4963 phase=B_anchor_generation +[Dataset] cur_step=4963 phase=B_anchor_generation + +[Dataset] cur_step=4963 phase=B_anchor_generation + 55%|████████████████▌ | 4963/9000 [3:12:23<4:31:10, 4.03s/it] {'loss': '2.657', 'grad_norm': '1.285', 'learning_rate': '2.282e-05', 'epoch': '0.1785'} + 55%|████████████████▌ | 4963/9000 [3:12:23<4:31:10, 4.03s/it] {'lm_loss': '0.0002202', 'visual_loss': '2.44', 'seg_loss': '0.6742', 'dino_loss': '0.8933', 'depth_loss': '0.2504', 'vggt_mse_loss': '0.2488', 'vggt_cos_loss': '0.01633', 'pidinet_loss': '0.1627', 'siglip_loss': '0.4591', 'epoch': '0.1785'} + 55%|████████████████▌ | 4963/9000 [3:12:26<4:31:10, 4.03s/it][Dataset] cur_step=4964 phase=B_anchor_generation +[Dataset] cur_step=4964 phase=B_anchor_generation +[Dataset] cur_step=4964 phase=B_anchor_generation[Dataset] cur_step=4964 phase=B_anchor_generation + +[Dataset] cur_step=4964 phase=B_anchor_generation +[Dataset] cur_step=4964 phase=B_anchor_generation + 55%|████████████████▌ | 4964/9000 [3:12:26<4:24:46, 3.94s/it][Dataset] cur_step=4964 phase=B_anchor_generation +[Dataset] cur_step=4964 phase=B_anchor_generation + {'loss': '2.767', 'grad_norm': '2.563', 'learning_rate': '2.281e-05', 'epoch': '0.1786'} + 55%|████████████████▌ | 4964/9000 [3:12:26<4:24:46, 3.94s/it] {'lm_loss': '0.0001029', 'visual_loss': '2.397', 'seg_loss': '0.6088', 'dino_loss': '0.9093', 'depth_loss': '0.2118', 'vggt_mse_loss': '0.2104', 'vggt_cos_loss': '0.01349', 'pidinet_loss': '0.2183', 'siglip_loss': '0.4483', 'epoch': '0.1786'} + 55%|████████████████▌ | 4964/9000 [3:12:30<4:24:46, 3.94s/it][Dataset] cur_step=4965 phase=B_anchor_generation +[Dataset] cur_step=4965 phase=B_anchor_generation +[Dataset] cur_step=4965 phase=B_anchor_generation 55%|████████████████▌ | 4965/9000 [3:12:30<4:25:38, 3.95s/it][Dataset] cur_step=4965 phase=B_anchor_generation + +[Dataset] cur_step=4965 phase=B_anchor_generation +[Dataset] cur_step=4965 phase=B_anchor_generation +[Dataset] cur_step=4965 phase=B_anchor_generation +[Dataset] cur_step=4965 phase=B_anchor_generation + {'loss': '2.629', 'grad_norm': '1.228', 'learning_rate': '2.28e-05', 'epoch': '0.1786'} + 55%|████████████████▌ | 4965/9000 [3:12:30<4:25:38, 3.95s/it] {'lm_loss': '0.0001358', 'visual_loss': '2.876', 'seg_loss': '0.8401', 'dino_loss': '0.8991', 'depth_loss': '0.3241', 'vggt_mse_loss': '0.3222', 'vggt_cos_loss': '0.01841', 'pidinet_loss': '0.238', 'siglip_loss': '0.5745', 'epoch': '0.1786'} + 55%|████████████████▌ | 4965/9000 [3:12:34<4:25:38, 3.95s/it][Dataset] cur_step=4966 phase=B_anchor_generation +[Dataset] cur_step=4966 phase=B_anchor_generation[Dataset] cur_step=4966 phase=B_anchor_generation + +[Dataset] cur_step=4966 phase=B_anchor_generation +[Dataset] cur_step=4966 phase=B_anchor_generation +[Dataset] cur_step=4966 phase=B_anchor_generation +[Dataset] cur_step=4966 phase=B_anchor_generation +[Dataset] cur_step=4966 phase=B_anchor_generation + 55%|████████████████▌ | 4966/9000 [3:12:35<4:31:00, 4.03s/it] {'loss': '2.668', 'grad_norm': '1.253', 'learning_rate': '2.279e-05', 'epoch': '0.1787'} + 55%|████████████████▌ | 4966/9000 [3:12:35<4:31:00, 4.03s/it] {'lm_loss': '0.000122', 'visual_loss': '2.68', 'seg_loss': '0.6708', 'dino_loss': '0.8903', 'depth_loss': '0.2318', 'vggt_mse_loss': '0.2302', 'vggt_cos_loss': '0.01616', 'pidinet_loss': '0.2752', 'siglip_loss': '0.6114', 'epoch': '0.1787'} + 55%|████████████████▌ | 4966/9000 [3:12:38<4:31:00, 4.03s/it][Dataset] cur_step=4967 phase=B_anchor_generation +[Dataset] cur_step=4967 phase=B_anchor_generation[Dataset] cur_step=4967 phase=B_anchor_generation[Dataset] cur_step=4967 phase=B_anchor_generation + + +[Dataset] cur_step=4967 phase=B_anchor_generation +[Dataset] cur_step=4967 phase=B_anchor_generation +[Dataset] cur_step=4967 phase=B_anchor_generation[Dataset] cur_step=4967 phase=B_anchor_generation + + 55%|████████████████▌ | 4967/9000 [3:12:39<4:29:21, 4.01s/it] {'loss': '2.631', 'grad_norm': '1.439', 'learning_rate': '2.278e-05', 'epoch': '0.1787'} + 55%|████████████████▌ | 4967/9000 [3:12:39<4:29:21, 4.01s/it] {'lm_loss': '0.000195', 'visual_loss': '2.909', 'seg_loss': '0.7483', 'dino_loss': '0.9273', 'depth_loss': '0.3364', 'vggt_mse_loss': '0.3338', 'vggt_cos_loss': '0.02678', 'pidinet_loss': '0.2265', 'siglip_loss': '0.6709', 'epoch': '0.1787'} + 55%|████████████████▌ | 4967/9000 [3:12:42<4:29:21, 4.01s/it][Dataset] cur_step=4968 phase=B_anchor_generation +[Dataset] cur_step=4968 phase=B_anchor_generation +[Dataset] cur_step=4968 phase=B_anchor_generation +[Dataset] cur_step=4968 phase=B_anchor_generation +[Dataset] cur_step=4968 phase=B_anchor_generation +[Dataset] cur_step=4968 phase=B_anchor_generation 55%|████████████████▌ | 4968/9000 [3:12:42<4:26:24, 3.96s/it] +[Dataset] cur_step=4968 phase=B_anchor_generation +[Dataset] cur_step=4968 phase=B_anchor_generation + {'loss': '2.763', 'grad_norm': '1.777', 'learning_rate': '2.277e-05', 'epoch': '0.1787'} + 55%|████████████████▌ | 4968/9000 [3:12:42<4:26:24, 3.96s/it] {'lm_loss': '0.0001644', 'visual_loss': '2.496', 'seg_loss': '0.6988', 'dino_loss': '0.9238', 'depth_loss': '0.2657', 'vggt_mse_loss': '0.2642', 'vggt_cos_loss': '0.01545', 'pidinet_loss': '0.2008', 'siglip_loss': '0.4065', 'epoch': '0.1787'} + 55%|████████████████▌ | 4968/9000 [3:12:46<4:26:24, 3.96s/it][Dataset] cur_step=4969 phase=B_anchor_generation +[Dataset] cur_step=4969 phase=B_anchor_generation[Dataset] cur_step=4969 phase=B_anchor_generation + +[Dataset] cur_step=4969 phase=B_anchor_generation + 55%|████████████████▌ | 4969/9000 [3:12:46<4:19:33, 3.86s/it][Dataset] cur_step=4969 phase=B_anchor_generation[Dataset] cur_step=4969 phase=B_anchor_generation + +[Dataset] cur_step=4969 phase=B_anchor_generation +[Dataset] cur_step=4969 phase=B_anchor_generation + {'loss': '2.685', 'grad_norm': '1.404', 'learning_rate': '2.276e-05', 'epoch': '0.1788'} + 55%|████████████████▌ | 4969/9000 [3:12:46<4:19:33, 3.86s/it] {'lm_loss': '0.0001264', 'visual_loss': '2.862', 'seg_loss': '0.7364', 'dino_loss': '0.8958', 'depth_loss': '0.3008', 'vggt_mse_loss': '0.2987', 'vggt_cos_loss': '0.02074', 'pidinet_loss': '0.2626', 'siglip_loss': '0.6664', 'epoch': '0.1788'} + 55%|████████████████▌ | 4969/9000 [3:12:49<4:19:33, 3.86s/it][Dataset] cur_step=4970 phase=B_anchor_generation +[Dataset] cur_step=4970 phase=B_anchor_generation +[Dataset] cur_step=4970 phase=B_anchor_generation[Dataset] cur_step=4970 phase=B_anchor_generation + +[Dataset] cur_step=4970 phase=B_anchor_generation +[Dataset] cur_step=4970 phase=B_anchor_generation +[Dataset] cur_step=4970 phase=B_anchor_generation + 55%|████████████████▌ | 4970/9000 [3:12:50<4:18:21, 3.85s/it][Dataset] cur_step=4970 phase=B_anchor_generation + {'loss': '2.736', 'grad_norm': '1.509', 'learning_rate': '2.275e-05', 'epoch': '0.1788'} + 55%|████████████████▌ | 4970/9000 [3:12:50<4:18:21, 3.85s/it] {'lm_loss': '0.0001504', 'visual_loss': '3.011', 'seg_loss': '0.717', 'dino_loss': '0.9035', 'depth_loss': '0.3658', 'vggt_mse_loss': '0.3639', 'vggt_cos_loss': '0.01838', 'pidinet_loss': '0.2782', 'siglip_loss': '0.7469', 'epoch': '0.1788'} + 55%|████████████████▌ | 4970/9000 [3:12:53<4:18:21, 3.85s/it][Dataset] cur_step=4971 phase=B_anchor_generation +[Dataset] cur_step=4971 phase=B_anchor_generation +[Dataset] cur_step=4971 phase=B_anchor_generation[Dataset] cur_step=4971 phase=B_anchor_generation + +[Dataset] cur_step=4971 phase=B_anchor_generation +[Dataset] cur_step=4971 phase=B_anchor_generation +[Dataset] cur_step=4971 phase=B_anchor_generation[Dataset] cur_step=4971 phase=B_anchor_generation + + 55%|████████████████▌ | 4971/9000 [3:12:54<4:16:04, 3.81s/it] {'loss': '2.761', 'grad_norm': '2.212', 'learning_rate': '2.274e-05', 'epoch': '0.1788'} + 55%|████████████████▌ | 4971/9000 [3:12:54<4:16:04, 3.81s/it] {'lm_loss': '0.0001808', 'visual_loss': '2.865', 'seg_loss': '0.8314', 'dino_loss': '0.9252', 'depth_loss': '0.264', 'vggt_mse_loss': '0.2624', 'vggt_cos_loss': '0.01671', 'pidinet_loss': '0.2579', 'siglip_loss': '0.5865', 'epoch': '0.1788'} + 55%|████████████████▌ | 4971/9000 [3:12:57<4:16:04, 3.81s/it][Dataset] cur_step=4972 phase=B_anchor_generation +[Dataset] cur_step=4972 phase=B_anchor_generation[Dataset] cur_step=4972 phase=B_anchor_generation + +[Dataset] cur_step=4972 phase=B_anchor_generation +[Dataset] cur_step=4972 phase=B_anchor_generation[Dataset] cur_step=4972 phase=B_anchor_generation + +[Dataset] cur_step=4972 phase=B_anchor_generation +[Dataset] cur_step=4972 phase=B_anchor_generation + 55%|████████████████▌ | 4972/9000 [3:12:58<4:18:21, 3.85s/it] {'loss': '2.78', 'grad_norm': '2.672', 'learning_rate': '2.273e-05', 'epoch': '0.1789'} + 55%|████████████████▌ | 4972/9000 [3:12:58<4:18:21, 3.85s/it] {'lm_loss': '0.0001065', 'visual_loss': '2.788', 'seg_loss': '0.6341', 'dino_loss': '0.9226', 'depth_loss': '0.3654', 'vggt_mse_loss': '0.3626', 'vggt_cos_loss': '0.02821', 'pidinet_loss': '0.1672', 'siglip_loss': '0.6983', 'epoch': '0.1789'} + 55%|████████████████▌ | 4972/9000 [3:13:01<4:18:21, 3.85s/it][Dataset] cur_step=4973 phase=B_anchor_generation +[Dataset] cur_step=4973 phase=B_anchor_generation +[Dataset] cur_step=4973 phase=B_anchor_generation +[Dataset] cur_step=4973 phase=B_anchor_generation +[Dataset] cur_step=4973 phase=B_anchor_generation[Dataset] cur_step=4973 phase=B_anchor_generation + +[Dataset] cur_step=4973 phase=B_anchor_generation + 55%|████████████████▌ | 4973/9000 [3:13:01<4:19:47, 3.87s/it][Dataset] cur_step=4973 phase=B_anchor_generation + {'loss': '2.677', 'grad_norm': '5.185', 'learning_rate': '2.273e-05', 'epoch': '0.1789'} + 55%|████████████████▌ | 4973/9000 [3:13:01<4:19:47, 3.87s/it] {'lm_loss': '0.0002314', 'visual_loss': '2.709', 'seg_loss': '0.9035', 'dino_loss': '0.8817', 'depth_loss': '0.2027', 'vggt_mse_loss': '0.2015', 'vggt_cos_loss': '0.0123', 'pidinet_loss': '0.2452', 'siglip_loss': '0.4753', 'epoch': '0.1789'} + 55%|████████████████▌ | 4973/9000 [3:13:04<4:19:47, 3.87s/it][Dataset] cur_step=4974 phase=B_anchor_generation[Dataset] cur_step=4974 phase=B_anchor_generation + +[Dataset] cur_step=4974 phase=B_anchor_generation +[Dataset] cur_step=4974 phase=B_anchor_generation +[Dataset] cur_step=4974 phase=B_anchor_generation +[Dataset] cur_step=4974 phase=B_anchor_generation + 55%|████████████████▌ | 4974/9000 [3:13:05<4:21:21, 3.90s/it][Dataset] cur_step=4974 phase=B_anchor_generation +[Dataset] cur_step=4974 phase=B_anchor_generation + {'loss': '2.586', 'grad_norm': '1.37', 'learning_rate': '2.272e-05', 'epoch': '0.1789'} + 55%|████████████████▌ | 4974/9000 [3:13:05<4:21:21, 3.90s/it] {'lm_loss': '0.0001891', 'visual_loss': '2.914', 'seg_loss': '0.7699', 'dino_loss': '0.9207', 'depth_loss': '0.2404', 'vggt_mse_loss': '0.2387', 'vggt_cos_loss': '0.01735', 'pidinet_loss': '0.1884', 'siglip_loss': '0.7947', 'epoch': '0.1789'} + 55%|████████████████▌ | 4974/9000 [3:13:08<4:21:21, 3.90s/it][Dataset] cur_step=4975 phase=B_anchor_generation +[Dataset] cur_step=4975 phase=B_anchor_generation[Dataset] cur_step=4975 phase=B_anchor_generation + +[Dataset] cur_step=4975 phase=B_anchor_generation +[Dataset] cur_step=4975 phase=B_anchor_generation + 55%|████████████████▌ | 4975/9000 [3:13:11<5:00:40, 4.48s/it][Dataset] cur_step=4975 phase=B_anchor_generation +[Dataset] cur_step=4975 phase=B_anchor_generation +[Dataset] cur_step=4975 phase=B_anchor_generation + {'loss': '2.754', 'grad_norm': '1.42', 'learning_rate': '2.271e-05', 'epoch': '0.179'} + 55%|████████████████▌ | 4975/9000 [3:13:11<5:00:40, 4.48s/it] {'lm_loss': '0.0001141', 'visual_loss': '2.515', 'seg_loss': '0.717', 'dino_loss': '0.9117', 'depth_loss': '0.2298', 'vggt_mse_loss': '0.2285', 'vggt_cos_loss': '0.01299', 'pidinet_loss': '0.2246', 'siglip_loss': '0.4315', 'epoch': '0.179'} + 55%|████████████████▌ | 4975/9000 [3:13:15<5:00:40, 4.48s/it][Dataset] cur_step=4976 phase=B_anchor_generation +[Dataset] cur_step=4976 phase=B_anchor_generation +[Dataset] cur_step=4976 phase=B_anchor_generation +[Dataset] cur_step=4976 phase=B_anchor_generation +[Dataset] cur_step=4976 phase=B_anchor_generation +[Dataset] cur_step=4976 phase=B_anchor_generation +[Dataset] cur_step=4976 phase=B_anchor_generation + 55%|████████████████▌ | 4976/9000 [3:13:15<4:50:09, 4.33s/it][Dataset] cur_step=4976 phase=B_anchor_generation + {'loss': '2.758', 'grad_norm': '1.678', 'learning_rate': '2.27e-05', 'epoch': '0.179'} + 55%|████████████████▌ | 4976/9000 [3:13:15<4:50:09, 4.33s/it] {'lm_loss': '0.0001121', 'visual_loss': '2.698', 'seg_loss': '0.6213', 'dino_loss': '0.9017', 'depth_loss': '0.237', 'vggt_mse_loss': '0.2353', 'vggt_cos_loss': '0.01638', 'pidinet_loss': '0.2293', 'siglip_loss': '0.7086', 'epoch': '0.179'} + 55%|████████████████▌ | 4976/9000 [3:13:19<4:50:09, 4.33s/it][Dataset] cur_step=4977 phase=B_anchor_generation[Dataset] cur_step=4977 phase=B_anchor_generation[Dataset] cur_step=4977 phase=B_anchor_generation + + + 55%|████████████████▌ | 4977/9000 [3:13:20<4:51:22, 4.35s/it][Dataset] cur_step=4977 phase=B_anchor_generation[Dataset] cur_step=4977 phase=B_anchor_generation + +[Dataset] cur_step=4977 phase=B_anchor_generation +[Dataset] cur_step=4977 phase=B_anchor_generation +[Dataset] cur_step=4977 phase=B_anchor_generation + {'loss': '2.669', 'grad_norm': '1.839', 'learning_rate': '2.269e-05', 'epoch': '0.179'} + 55%|████████████████▌ | 4977/9000 [3:13:20<4:51:22, 4.35s/it] {'lm_loss': '0.0001051', 'visual_loss': '2.623', 'seg_loss': '0.7918', 'dino_loss': '0.902', 'depth_loss': '0.2621', 'vggt_mse_loss': '0.2608', 'vggt_cos_loss': '0.01224', 'pidinet_loss': '0.2224', 'siglip_loss': '0.4446', 'epoch': '0.179'} + 55%|████████████████▌ | 4977/9000 [3:13:23<4:51:22, 4.35s/it][Dataset] cur_step=4978 phase=B_anchor_generation +[Dataset] cur_step=4978 phase=B_anchor_generation +[Dataset] cur_step=4978 phase=B_anchor_generation +[Dataset] cur_step=4978 phase=B_anchor_generation +[Dataset] cur_step=4978 phase=B_anchor_generation +[Dataset] cur_step=4978 phase=B_anchor_generation +[Dataset] cur_step=4978 phase=B_anchor_generation +[Dataset] cur_step=4978 phase=B_anchor_generation + 55%|████████████████▌ | 4978/9000 [3:13:23<4:40:13, 4.18s/it] {'loss': '2.748', 'grad_norm': '1.309', 'learning_rate': '2.268e-05', 'epoch': '0.1791'} + 55%|████████████████▌ | 4978/9000 [3:13:23<4:40:13, 4.18s/it] {'lm_loss': '0.0001725', 'visual_loss': '2.44', 'seg_loss': '0.644', 'dino_loss': '0.9077', 'depth_loss': '0.2424', 'vggt_mse_loss': '0.241', 'vggt_cos_loss': '0.01316', 'pidinet_loss': '0.2252', 'siglip_loss': '0.4209', 'epoch': '0.1791'} + 55%|████████████████▌ | 4978/9000 [3:13:27<4:40:13, 4.18s/it][Dataset] cur_step=4979 phase=B_anchor_generation +[Dataset] cur_step=4979 phase=B_anchor_generation +[Dataset] cur_step=4979 phase=B_anchor_generation +[Dataset] cur_step=4979 phase=B_anchor_generation +[Dataset] cur_step=4979 phase=B_anchor_generation +[Dataset] cur_step=4979 phase=B_anchor_generation[Dataset] cur_step=4979 phase=B_anchor_generation + +[Dataset] cur_step=4979 phase=B_anchor_generation + 55%|████████████████▌ | 4979/9000 [3:13:29<5:16:08, 4.72s/it] {'loss': '2.65', 'grad_norm': '3.133', 'learning_rate': '2.267e-05', 'epoch': '0.1791'} + 55%|████████████████▌ | 4979/9000 [3:13:29<5:16:08, 4.72s/it] {'lm_loss': '0.0001146', 'visual_loss': '2.755', 'seg_loss': '0.7345', 'dino_loss': '0.9305', 'depth_loss': '0.2931', 'vggt_mse_loss': '0.291', 'vggt_cos_loss': '0.02097', 'pidinet_loss': '0.226', 'siglip_loss': '0.5704', 'epoch': '0.1791'} + 55%|████████████████▌ | 4979/9000 [3:13:33<5:16:08, 4.72s/it][Dataset] cur_step=4980 phase=B_anchor_generation +[Dataset] cur_step=4980 phase=B_anchor_generation +[Dataset] cur_step=4980 phase=B_anchor_generation +[Dataset] cur_step=4980 phase=B_anchor_generation +[Dataset] cur_step=4980 phase=B_anchor_generation + 55%|████████████████▌ | 4980/9000 [3:13:33<4:54:32, 4.40s/it][Dataset] cur_step=4980 phase=B_anchor_generation[Dataset] cur_step=4980 phase=B_anchor_generation + +[Dataset] cur_step=4980 phase=B_anchor_generation + {'loss': '2.78', 'grad_norm': '1.311', 'learning_rate': '2.266e-05', 'epoch': '0.1792'} + 55%|████████████████▌ | 4980/9000 [3:13:33<4:54:32, 4.40s/it] {'lm_loss': '0.0002441', 'visual_loss': '2.828', 'seg_loss': '0.7698', 'dino_loss': '0.9049', 'depth_loss': '0.3027', 'vggt_mse_loss': '0.3004', 'vggt_cos_loss': '0.02264', 'pidinet_loss': '0.2103', 'siglip_loss': '0.6403', 'epoch': '0.1792'} + 55%|████████████████▌ | 4980/9000 [3:13:36<4:54:32, 4.40s/it][Dataset] cur_step=4981 phase=B_anchor_generation +[Dataset] cur_step=4981 phase=B_anchor_generation +[Dataset] cur_step=4981 phase=B_anchor_generation[Dataset] cur_step=4981 phase=B_anchor_generation[Dataset] cur_step=4981 phase=B_anchor_generation[Dataset] cur_step=4981 phase=B_anchor_generation + + + + 55%|████████████████▌ | 4981/9000 [3:13:37<4:42:34, 4.22s/it][Dataset] cur_step=4981 phase=B_anchor_generation +[Dataset] cur_step=4981 phase=B_anchor_generation + {'loss': '2.828', 'grad_norm': '1.456', 'learning_rate': '2.265e-05', 'epoch': '0.1792'} + 55%|████████████████▌ | 4981/9000 [3:13:37<4:42:34, 4.22s/it] {'lm_loss': '7.974e-05', 'visual_loss': '2.616', 'seg_loss': '0.7914', 'dino_loss': '0.9099', 'depth_loss': '0.1891', 'vggt_mse_loss': '0.1879', 'vggt_cos_loss': '0.01192', 'pidinet_loss': '0.2594', 'siglip_loss': '0.4661', 'epoch': '0.1792'} + 55%|████████████████▌ | 4981/9000 [3:13:40<4:42:34, 4.22s/it][Dataset] cur_step=4982 phase=B_anchor_generation +[Dataset] cur_step=4982 phase=B_anchor_generation[Dataset] cur_step=4982 phase=B_anchor_generation + +[Dataset] cur_step=4982 phase=B_anchor_generation +[Dataset] cur_step=4982 phase=B_anchor_generation[Dataset] cur_step=4982 phase=B_anchor_generation + +[Dataset] cur_step=4982 phase=B_anchor_generation +[Dataset] cur_step=4982 phase=B_anchor_generation + 55%|████████████████▌ | 4982/9000 [3:13:41<4:37:44, 4.15s/it] {'loss': '2.703', 'grad_norm': '1.794', 'learning_rate': '2.264e-05', 'epoch': '0.1792'} + 55%|████████████████▌ | 4982/9000 [3:13:41<4:37:44, 4.15s/it] {'lm_loss': '0.0002974', 'visual_loss': '2.79', 'seg_loss': '0.8119', 'dino_loss': '0.9279', 'depth_loss': '0.295', 'vggt_mse_loss': '0.2924', 'vggt_cos_loss': '0.0256', 'pidinet_loss': '0.2463', 'siglip_loss': '0.5093', 'epoch': '0.1792'} + 55%|████████████████▌ | 4982/9000 [3:13:44<4:37:44, 4.15s/it][Dataset] cur_step=4983 phase=B_anchor_generation +[Dataset] cur_step=4983 phase=B_anchor_generation[Dataset] cur_step=4983 phase=B_anchor_generation + +[Dataset] cur_step=4983 phase=B_anchor_generation +[Dataset] cur_step=4983 phase=B_anchor_generation +[Dataset] cur_step=4983 phase=B_anchor_generation +[Dataset] cur_step=4983 phase=B_anchor_generation + 55%|████████████████▌ | 4983/9000 [3:13:45<4:33:41, 4.09s/it][Dataset] cur_step=4983 phase=B_anchor_generation + {'loss': '2.705', 'grad_norm': '1.228', 'learning_rate': '2.263e-05', 'epoch': '0.1793'} + 55%|████████████████▌ | 4983/9000 [3:13:45<4:33:41, 4.09s/it] {'lm_loss': '7.917e-05', 'visual_loss': '2.752', 'seg_loss': '0.7933', 'dino_loss': '0.9118', 'depth_loss': '0.3126', 'vggt_mse_loss': '0.3106', 'vggt_cos_loss': '0.02066', 'pidinet_loss': '0.1855', 'siglip_loss': '0.549', 'epoch': '0.1793'} + 55%|████████████████▌ | 4983/9000 [3:13:48<4:33:41, 4.09s/it][Dataset] cur_step=4984 phase=B_anchor_generation +[Dataset] cur_step=4984 phase=B_anchor_generation +[Dataset] cur_step=4984 phase=B_anchor_generation +[Dataset] cur_step=4984 phase=B_anchor_generation[Dataset] cur_step=4984 phase=B_anchor_generation + +[Dataset] cur_step=4984 phase=B_anchor_generation + 55%|████████████████▌ | 4984/9000 [3:13:51<5:23:04, 4.83s/it][Dataset] cur_step=4984 phase=B_anchor_generation +[Dataset] cur_step=4984 phase=B_anchor_generation + {'loss': '2.62', 'grad_norm': '1.21', 'learning_rate': '2.262e-05', 'epoch': '0.1793'} + 55%|████████████████▌ | 4984/9000 [3:13:51<5:23:04, 4.83s/it] {'lm_loss': '0.0003685', 'visual_loss': '2.989', 'seg_loss': '0.7752', 'dino_loss': '0.9082', 'depth_loss': '0.2512', 'vggt_mse_loss': '0.2491', 'vggt_cos_loss': '0.02111', 'pidinet_loss': '0.2903', 'siglip_loss': '0.7638', 'epoch': '0.1793'} + 55%|████████████████▌ | 4984/9000 [3:13:54<5:23:04, 4.83s/it][Dataset] cur_step=4985 phase=B_anchor_generation +[Dataset] cur_step=4985 phase=B_anchor_generation +[Dataset] cur_step=4985 phase=B_anchor_generation[Dataset] cur_step=4985 phase=B_anchor_generation +[Dataset] cur_step=4985 phase=B_anchor_generation + +[Dataset] cur_step=4985 phase=B_anchor_generation[Dataset] cur_step=4985 phase=B_anchor_generation + + 55%|████████████████▌ | 4985/9000 [3:13:55<5:00:35, 4.49s/it][Dataset] cur_step=4985 phase=B_anchor_generation + {'loss': '2.758', 'grad_norm': '1.454', 'learning_rate': '2.262e-05', 'epoch': '0.1793'} + 55%|████████████████▌ | 4985/9000 [3:13:55<5:00:35, 4.49s/it] {'lm_loss': '0.0002817', 'visual_loss': '2.94', 'seg_loss': '0.8218', 'dino_loss': '0.8851', 'depth_loss': '0.2144', 'vggt_mse_loss': '0.213', 'vggt_cos_loss': '0.0141', 'pidinet_loss': '0.2642', 'siglip_loss': '0.7549', 'epoch': '0.1793'} + 55%|████████████████▌ | 4985/9000 [3:13:58<5:00:35, 4.49s/it][Dataset] cur_step=4986 phase=B_anchor_generation +[Dataset] cur_step=4986 phase=B_anchor_generation +[Dataset] cur_step=4986 phase=B_anchor_generation +[Dataset] cur_step=4986 phase=B_anchor_generation +[Dataset] cur_step=4986 phase=B_anchor_generation[Dataset] cur_step=4986 phase=B_anchor_generation[Dataset] cur_step=4986 phase=B_anchor_generation + + +[Dataset] cur_step=4986 phase=B_anchor_generation + 55%|████████████████▌ | 4986/9000 [3:13:59<4:46:39, 4.28s/it] {'loss': '2.781', 'grad_norm': '1.617', 'learning_rate': '2.261e-05', 'epoch': '0.1794'} + 55%|████████████████▌ | 4986/9000 [3:13:59<4:46:39, 4.28s/it] {'lm_loss': '0.0004467', 'visual_loss': '2.757', 'seg_loss': '0.7206', 'dino_loss': '0.9167', 'depth_loss': '0.2253', 'vggt_mse_loss': '0.2239', 'vggt_cos_loss': '0.01405', 'pidinet_loss': '0.2421', 'siglip_loss': '0.6521', 'epoch': '0.1794'} + 55%|████████████████▌ | 4986/9000 [3:14:02<4:46:39, 4.28s/it][Dataset] cur_step=4987 phase=B_anchor_generation +[Dataset] cur_step=4987 phase=B_anchor_generation +[Dataset] cur_step=4987 phase=B_anchor_generation +[Dataset] cur_step=4987 phase=B_anchor_generation +[Dataset] cur_step=4987 phase=B_anchor_generation +[Dataset] cur_step=4987 phase=B_anchor_generation[Dataset] cur_step=4987 phase=B_anchor_generation + + 55%|████████████████▌ | 4987/9000 [3:14:05<5:23:48, 4.84s/it][Dataset] cur_step=4987 phase=B_anchor_generation + {'loss': '2.674', 'grad_norm': '1.709', 'learning_rate': '2.26e-05', 'epoch': '0.1794'} + 55%|████████████████▌ | 4987/9000 [3:14:05<5:23:48, 4.84s/it] {'lm_loss': '0.0003504', 'visual_loss': '2.784', 'seg_loss': '0.6952', 'dino_loss': '0.9438', 'depth_loss': '0.2502', 'vggt_mse_loss': '0.2484', 'vggt_cos_loss': '0.01823', 'pidinet_loss': '0.2637', 'siglip_loss': '0.6315', 'epoch': '0.1794'} + 55%|████████████████▌ | 4987/9000 [3:14:08<5:23:48, 4.84s/it][Dataset] cur_step=4988 phase=B_anchor_generation +[Dataset] cur_step=4988 phase=B_anchor_generation +[Dataset] cur_step=4988 phase=B_anchor_generation +[Dataset] cur_step=4988 phase=B_anchor_generation[Dataset] cur_step=4988 phase=B_anchor_generation + +[Dataset] cur_step=4988 phase=B_anchor_generation +[Dataset] cur_step=4988 phase=B_anchor_generation +[Dataset] cur_step=4988 phase=B_anchor_generation + 55%|████████████████▋ | 4988/9000 [3:14:09<5:03:06, 4.53s/it] {'loss': '2.707', 'grad_norm': '1.67', 'learning_rate': '2.259e-05', 'epoch': '0.1794'} + 55%|████████████████▋ | 4988/9000 [3:14:09<5:03:06, 4.53s/it] {'lm_loss': '8.674e-05', 'visual_loss': '2.732', 'seg_loss': '0.818', 'dino_loss': '0.9117', 'depth_loss': '0.2648', 'vggt_mse_loss': '0.2624', 'vggt_cos_loss': '0.02333', 'pidinet_loss': '0.2548', 'siglip_loss': '0.4831', 'epoch': '0.1794'} + 55%|████████████████▋ | 4988/9000 [3:14:15<5:03:06, 4.53s/it][Dataset] cur_step=4989 phase=B_anchor_generation +[Dataset] cur_step=4989 phase=B_anchor_generation[Dataset] cur_step=4989 phase=B_anchor_generation + + 55%|████████████████▋ | 4989/9000 [3:14:15<5:38:36, 5.07s/it][Dataset] cur_step=4989 phase=B_anchor_generation[Dataset] cur_step=4989 phase=B_anchor_generation +[Dataset] cur_step=4989 phase=B_anchor_generation + +[Dataset] cur_step=4989 phase=B_anchor_generation +[Dataset] cur_step=4989 phase=B_anchor_generation + {'loss': '2.77', 'grad_norm': '2.298', 'learning_rate': '2.258e-05', 'epoch': '0.1795'} + 55%|████████████████▋ | 4989/9000 [3:14:15<5:38:36, 5.07s/it] {'lm_loss': '0.0001078', 'visual_loss': '2.866', 'seg_loss': '0.7482', 'dino_loss': '0.9427', 'depth_loss': '0.3317', 'vggt_mse_loss': '0.3299', 'vggt_cos_loss': '0.01808', 'pidinet_loss': '0.251', 'siglip_loss': '0.5926', 'epoch': '0.1795'} + 55%|████████████████▋ | 4989/9000 [3:14:19<5:38:36, 5.07s/it][Dataset] cur_step=4990 phase=B_anchor_generation[Dataset] cur_step=4990 phase=B_anchor_generation[Dataset] cur_step=4990 phase=B_anchor_generation + + +[Dataset] cur_step=4990 phase=B_anchor_generation +[Dataset] cur_step=4990 phase=B_anchor_generation +[Dataset] cur_step=4990 phase=B_anchor_generation[Dataset] cur_step=4990 phase=B_anchor_generation + + 55%|████████████████▋ | 4990/9000 [3:14:19<5:17:54, 4.76s/it][Dataset] cur_step=4990 phase=B_anchor_generation + {'loss': '2.807', 'grad_norm': '1.694', 'learning_rate': '2.257e-05', 'epoch': '0.1795'} + 55%|████████████████▋ | 4990/9000 [3:14:19<5:17:54, 4.76s/it] {'lm_loss': '0.0001391', 'visual_loss': '2.508', 'seg_loss': '0.61', 'dino_loss': '0.9052', 'depth_loss': '0.2579', 'vggt_mse_loss': '0.2562', 'vggt_cos_loss': '0.01728', 'pidinet_loss': '0.186', 'siglip_loss': '0.5492', 'epoch': '0.1795'} + 55%|████████████████▋ | 4990/9000 [3:14:23<5:17:54, 4.76s/it][Dataset] cur_step=4991 phase=B_anchor_generation[Dataset] cur_step=4991 phase=B_anchor_generation + +[Dataset] cur_step=4991 phase=B_anchor_generation +[Dataset] cur_step=4991 phase=B_anchor_generation[Dataset] cur_step=4991 phase=B_anchor_generation + +[Dataset] cur_step=4991 phase=B_anchor_generation 55%|████████████████▋ | 4991/9000 [3:14:23<5:04:30, 4.56s/it] +[Dataset] cur_step=4991 phase=B_anchor_generation +[Dataset] cur_step=4991 phase=B_anchor_generation + {'loss': '2.606', 'grad_norm': '1.73', 'learning_rate': '2.256e-05', 'epoch': '0.1796'} + 55%|████████████████▋ | 4991/9000 [3:14:23<5:04:30, 4.56s/it] {'lm_loss': '0.0002207', 'visual_loss': '2.402', 'seg_loss': '0.5826', 'dino_loss': '0.9029', 'depth_loss': '0.3317', 'vggt_mse_loss': '0.3294', 'vggt_cos_loss': '0.02329', 'pidinet_loss': '0.1794', 'siglip_loss': '0.4052', 'epoch': '0.1796'} + 55%|████████████████▋ | 4991/9000 [3:14:27<5:04:30, 4.56s/it][Dataset] cur_step=4992 phase=B_anchor_generation +[Dataset] cur_step=4992 phase=B_anchor_generation +[Dataset] cur_step=4992 phase=B_anchor_generation[Dataset] cur_step=4992 phase=B_anchor_generation + +[Dataset] cur_step=4992 phase=B_anchor_generation +[Dataset] cur_step=4992 phase=B_anchor_generation + 55%|████████████████▋ | 4992/9000 [3:14:29<5:24:55, 4.86s/it][Dataset] cur_step=4992 phase=B_anchor_generation +[Dataset] cur_step=4992 phase=B_anchor_generation + {'loss': '2.659', 'grad_norm': '4.603', 'learning_rate': '2.255e-05', 'epoch': '0.1796'} + 55%|████████████████▋ | 4992/9000 [3:14:29<5:24:55, 4.86s/it] {'lm_loss': '0.0002545', 'visual_loss': '2.142', 'seg_loss': '0.5592', 'dino_loss': '0.842', 'depth_loss': '0.2415', 'vggt_mse_loss': '0.2407', 'vggt_cos_loss': '0.007328', 'pidinet_loss': '0.1207', 'siglip_loss': '0.3785', 'epoch': '0.1796'} + 55%|████████████████▋ | 4992/9000 [3:14:32<5:24:55, 4.86s/it][Dataset] cur_step=4993 phase=B_anchor_generation +[Dataset] cur_step=4993 phase=B_anchor_generation +[Dataset] cur_step=4993 phase=B_anchor_generation +[Dataset] cur_step=4993 phase=B_anchor_generation +[Dataset] cur_step=4993 phase=B_anchor_generation +[Dataset] cur_step=4993 phase=B_anchor_generation +[Dataset] cur_step=4993 phase=B_anchor_generation[Dataset] cur_step=4993 phase=B_anchor_generation + 55%|████████████████▋ | 4993/9000 [3:14:33<5:08:34, 4.62s/it] + {'loss': '2.58', 'grad_norm': '1.602', 'learning_rate': '2.254e-05', 'epoch': '0.1796'} + 55%|████████████████▋ | 4993/9000 [3:14:33<5:08:34, 4.62s/it] {'lm_loss': '0.0001719', 'visual_loss': '2.856', 'seg_loss': '0.8296', 'dino_loss': '0.9232', 'depth_loss': '0.2947', 'vggt_mse_loss': '0.2924', 'vggt_cos_loss': '0.02265', 'pidinet_loss': '0.2054', 'siglip_loss': '0.6032', 'epoch': '0.1796'} + 55%|████████████████▋ | 4993/9000 [3:14:36<5:08:34, 4.62s/it][Dataset] cur_step=4994 phase=B_anchor_generation +[Dataset] cur_step=4994 phase=B_anchor_generation +[Dataset] cur_step=4994 phase=B_anchor_generation[Dataset] cur_step=4994 phase=B_anchor_generation + +[Dataset] cur_step=4994 phase=B_anchor_generation +[Dataset] cur_step=4994 phase=B_anchor_generation +[Dataset] cur_step=4994 phase=B_anchor_generation 55%|████████████████▋ | 4994/9000 [3:14:37<4:55:24, 4.42s/it] +[Dataset] cur_step=4994 phase=B_anchor_generation + {'loss': '2.675', 'grad_norm': '2.379', 'learning_rate': '2.253e-05', 'epoch': '0.1797'} + 55%|████████████████▋ | 4994/9000 [3:14:37<4:55:24, 4.42s/it] {'lm_loss': '0.0001315', 'visual_loss': '2.63', 'seg_loss': '0.6475', 'dino_loss': '0.8735', 'depth_loss': '0.2168', 'vggt_mse_loss': '0.2151', 'vggt_cos_loss': '0.01717', 'pidinet_loss': '0.3189', 'siglip_loss': '0.573', 'epoch': '0.1797'} + 55%|████████████████▋ | 4994/9000 [3:14:40<4:55:24, 4.42s/it][Dataset] cur_step=4995 phase=B_anchor_generation +[Dataset] cur_step=4995 phase=B_anchor_generation +[Dataset] cur_step=4995 phase=B_anchor_generation +[Dataset] cur_step=4995 phase=B_anchor_generation[Dataset] cur_step=4995 phase=B_anchor_generation[Dataset] cur_step=4995 phase=B_anchor_generation + + +[Dataset] cur_step=4995 phase=B_anchor_generation +[Dataset] cur_step=4995 phase=B_anchor_generation + 56%|████████████████▋ | 4995/9000 [3:14:40<4:39:50, 4.19s/it] {'loss': '2.654', 'grad_norm': '1.493', 'learning_rate': '2.252e-05', 'epoch': '0.1797'} + 56%|████████████████▋ | 4995/9000 [3:14:40<4:39:50, 4.19s/it] {'lm_loss': '0.0001658', 'visual_loss': '2.607', 'seg_loss': '0.7637', 'dino_loss': '0.9297', 'depth_loss': '0.2114', 'vggt_mse_loss': '0.2099', 'vggt_cos_loss': '0.01418', 'pidinet_loss': '0.1839', 'siglip_loss': '0.5181', 'epoch': '0.1797'} + 56%|████████████████▋ | 4995/9000 [3:14:43<4:39:50, 4.19s/it][Dataset] cur_step=4996 phase=B_anchor_generation +[Dataset] cur_step=4996 phase=B_anchor_generation[Dataset] cur_step=4996 phase=B_anchor_generation + +[Dataset] cur_step=4996 phase=B_anchor_generation +[Dataset] cur_step=4996 phase=B_anchor_generation +[Dataset] cur_step=4996 phase=B_anchor_generation +[Dataset] cur_step=4996 phase=B_anchor_generation +[Dataset] cur_step=4996 phase=B_anchor_generation + 56%|████████████████▋ | 4996/9000 [3:14:44<4:33:43, 4.10s/it] {'loss': '2.769', 'grad_norm': '1.696', 'learning_rate': '2.251e-05', 'epoch': '0.1797'} + 56%|████████████████▋ | 4996/9000 [3:14:44<4:33:43, 4.10s/it] {'lm_loss': '0.0001762', 'visual_loss': '2.479', 'seg_loss': '0.6725', 'dino_loss': '0.9263', 'depth_loss': '0.2141', 'vggt_mse_loss': '0.2126', 'vggt_cos_loss': '0.01538', 'pidinet_loss': '0.2489', 'siglip_loss': '0.4171', 'epoch': '0.1797'} + 56%|████████████████▋ | 4996/9000 [3:14:48<4:33:43, 4.10s/it][Dataset] cur_step=4997 phase=B_anchor_generation +[Dataset] cur_step=4997 phase=B_anchor_generation[Dataset] cur_step=4997 phase=B_anchor_generation +[Dataset] cur_step=4997 phase=B_anchor_generation + +[Dataset] cur_step=4997 phase=B_anchor_generation + 56%|████████████████▋ | 4997/9000 [3:14:48<4:33:58, 4.11s/it][Dataset] cur_step=4997 phase=B_anchor_generation[Dataset] cur_step=4997 phase=B_anchor_generation + +[Dataset] cur_step=4997 phase=B_anchor_generation + {'loss': '2.738', 'grad_norm': '2.663', 'learning_rate': '2.251e-05', 'epoch': '0.1798'} + 56%|████████████████▋ | 4997/9000 [3:14:48<4:33:58, 4.11s/it] {'lm_loss': '0.0001468', 'visual_loss': '2.38', 'seg_loss': '0.6806', 'dino_loss': '0.8733', 'depth_loss': '0.2417', 'vggt_mse_loss': '0.2402', 'vggt_cos_loss': '0.01491', 'pidinet_loss': '0.1172', 'siglip_loss': '0.4674', 'epoch': '0.1798'} + 56%|████████████████▋ | 4997/9000 [3:14:52<4:33:58, 4.11s/it][Dataset] cur_step=4998 phase=B_anchor_generation +[Dataset] cur_step=4998 phase=B_anchor_generation +[Dataset] cur_step=4998 phase=B_anchor_generation +[Dataset] cur_step=4998 phase=B_anchor_generation +[Dataset] cur_step=4998 phase=B_anchor_generation +[Dataset] cur_step=4998 phase=B_anchor_generation +[Dataset] cur_step=4998 phase=B_anchor_generation + 56%|████████████████▋ | 4998/9000 [3:14:52<4:30:40, 4.06s/it][Dataset] cur_step=4998 phase=B_anchor_generation + {'loss': '2.616', 'grad_norm': '1.38', 'learning_rate': '2.25e-05', 'epoch': '0.1798'} + 56%|████████████████▋ | 4998/9000 [3:14:52<4:30:40, 4.06s/it] {'lm_loss': '0.0002538', 'visual_loss': '2.818', 'seg_loss': '0.5811', 'dino_loss': '0.892', 'depth_loss': '0.2842', 'vggt_mse_loss': '0.2814', 'vggt_cos_loss': '0.02749', 'pidinet_loss': '0.2748', 'siglip_loss': '0.7859', 'epoch': '0.1798'} + 56%|████████████████▋ | 4998/9000 [3:14:55<4:30:40, 4.06s/it][Dataset] cur_step=4999 phase=B_anchor_generation +[Dataset] cur_step=4999 phase=B_anchor_generation +[Dataset] cur_step=4999 phase=B_anchor_generation +[Dataset] cur_step=4999 phase=B_anchor_generation[Dataset] cur_step=4999 phase=B_anchor_generation + +[Dataset] cur_step=4999 phase=B_anchor_generation +[Dataset] cur_step=4999 phase=B_anchor_generation + 56%|████████████████▋ | 4999/9000 [3:14:56<4:21:09, 3.92s/it][Dataset] cur_step=4999 phase=B_anchor_generation + {'loss': '2.718', 'grad_norm': '1.593', 'learning_rate': '2.249e-05', 'epoch': '0.1798'} + 56%|████████████████▋ | 4999/9000 [3:14:56<4:21:09, 3.92s/it] {'lm_loss': '0.0001963', 'visual_loss': '2.472', 'seg_loss': '0.6741', 'dino_loss': '0.8738', 'depth_loss': '0.2706', 'vggt_mse_loss': '0.2689', 'vggt_cos_loss': '0.01766', 'pidinet_loss': '0.1861', 'siglip_loss': '0.4678', 'epoch': '0.1798'} + 56%|████████████████▋ | 4999/9000 [3:15:00<4:21:09, 3.92s/it][Dataset] cur_step=5000 phase=C_full_covt +[Dataset] cur_step=5000 phase=C_full_covt[Dataset] cur_step=5000 phase=C_full_covt + +[Dataset] cur_step=5000 phase=C_full_covt +[Dataset] cur_step=5000 phase=C_full_covt[Dataset] cur_step=5000 phase=C_full_covt +[Dataset] cur_step=5000 phase=C_full_covt + +[Dataset] cur_step=5000 phase=C_full_covt +[cvbench] step=5000 metrics={"eval/cvbench_2d_accuracy": 0.528, "eval/cvbench_2d_count_accuracy": 0.24817518248175183, "eval/cvbench_2d_relation_accuracy": 0.8672566371681416, "eval/cvbench_2d_task_macro_accuracy": 0.5577159098249467, "eval/cvbench_3d_accuracy": 0.844, "eval/cvbench_3d_depth_accuracy": 0.936, "eval/cvbench_3d_distance_accuracy": 0.752, "eval/cvbench_3d_task_macro_accuracy": 0.8440000000000001, "eval/cvbench_accuracy": 0.686, "eval/cvbench_covt_answer_tag_rate": 0.0, "eval/cvbench_covt_any_anchor_rate": 0.252, "eval/cvbench_covt_depth_tokens_mean": 0.926, "eval/cvbench_covt_dino_tokens_mean": 0.92, "eval/cvbench_covt_pidinet_tokens_mean": 0.92, "eval/cvbench_covt_sam_tokens_mean": 1.84, "eval/cvbench_covt_siglip_tokens_mean": 1.08, "eval/cvbench_covt_think_rate": 0.0, "eval/cvbench_errors": 0.0, "eval/cvbench_parse_rate": 0.77, "eval/cvbench_samples": 500.0, "eval/cvbench_seconds": 45.54998899018392, "eval/cvbench_task_macro_accuracy": 0.7008579549124734} + 56%|████████████████ | 5000/9000 [3:15:46<19:38:14, 17.67s/it] {'loss': '2.621', 'grad_norm': '4.91', 'learning_rate': '2.248e-05', 'epoch': '0.1799'} + 56%|████████████████ | 5000/9000 [3:15:46<19:38:14, 17.67s/it]Saving model checkpoint to /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-5000 +chat template saved in /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-5000/chat_template.jinja +tokenizer config file saved in /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-5000/tokenizer_config.json +chat template saved in /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-5000/chat_template.jinja +processor saved in /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-5000/processor_config.json + {'lm_loss': '0.0001301', 'visual_loss': '2.782', 'seg_loss': '0.7463', 'dino_loss': '0.9272', 'depth_loss': '0.2418', 'vggt_mse_loss': '0.2398', 'vggt_cos_loss': '0.01971', 'pidinet_loss': '0.2056', 'siglip_loss': '0.6612', 'epoch': '0.1799'} + 56%|████████████████ | 5000/9000 [3:16:10<19:38:14, 17.67s/it][Dataset] cur_step=5001 phase=C_full_covt +[Dataset] cur_step=5001 phase=C_full_covt +[Dataset] cur_step=5001 phase=C_full_covt[Dataset] cur_step=5001 phase=C_full_covt + +[Dataset] cur_step=5001 phase=C_full_covt[Dataset] cur_step=5001 phase=C_full_covt + +[Dataset] cur_step=5001 phase=C_full_covt + 56%|████████████████ | 5001/9000 [3:16:12<22:27:22, 20.22s/it][Dataset] cur_step=5001 phase=C_full_covt + {'loss': '2.626', 'grad_norm': '1.174', 'learning_rate': '2.247e-05', 'epoch': '0.1799'} + 56%|████████████████ | 5001/9000 [3:16:12<22:27:22, 20.22s/it] {'lm_loss': '3.112', 'visual_loss': '3.1', 'seg_loss': '0.8424', 'dino_loss': '0.9506', 'depth_loss': '0.3044', 'vggt_mse_loss': '0.3021', 'vggt_cos_loss': '0.02318', 'pidinet_loss': '0.2597', 'siglip_loss': '0.7429', 'epoch': '0.1799'} + 56%|████████████████ | 5001/9000 [3:16:15<22:27:22, 20.22s/it][Dataset] cur_step=5002 phase=C_full_covt[Dataset] cur_step=5002 phase=C_full_covt + +[Dataset] cur_step=5002 phase=C_full_covt +[Dataset] cur_step=5002 phase=C_full_covt[Dataset] cur_step=5002 phase=C_full_covt + +[Dataset] cur_step=5002 phase=C_full_covt +[Dataset] cur_step=5002 phase=C_full_covt + 56%|████████████████ | 5002/9000 [3:16:16<17:04:31, 15.38s/it][Dataset] cur_step=5002 phase=C_full_covt + {'loss': '5.327', 'grad_norm': '11.95', 'learning_rate': '2.246e-05', 'epoch': '0.1799'} + 56%|████████████████ | 5002/9000 [3:16:16<17:04:31, 15.38s/it] {'lm_loss': '2.793', 'visual_loss': '3.028', 'seg_loss': '0.7976', 'dino_loss': '0.9202', 'depth_loss': '0.2552', 'vggt_mse_loss': '0.2536', 'vggt_cos_loss': '0.01617', 'pidinet_loss': '0.29', 'siglip_loss': '0.7653', 'epoch': '0.1799'} + 56%|████████████████ | 5002/9000 [3:16:19<17:04:31, 15.38s/it][Dataset] cur_step=5003 phase=C_full_covt +[Dataset] cur_step=5003 phase=C_full_covt +[Dataset] cur_step=5003 phase=C_full_covt + 56%|████████████████ | 5003/9000 [3:16:20<13:26:05, 12.10s/it][Dataset] cur_step=5003 phase=C_full_covt[Dataset] cur_step=5003 phase=C_full_covt + +[Dataset] cur_step=5003 phase=C_full_covt +[Dataset] cur_step=5003 phase=C_full_covt +[Dataset] cur_step=5003 phase=C_full_covt + {'loss': '5.126', 'grad_norm': '12.06', 'learning_rate': '2.245e-05', 'epoch': '0.18'} + 56%|████████████████ | 5003/9000 [3:16:20<13:26:05, 12.10s/it] {'lm_loss': '2.269', 'visual_loss': '2.879', 'seg_loss': '0.7977', 'dino_loss': '0.9618', 'depth_loss': '0.2647', 'vggt_mse_loss': '0.263', 'vggt_cos_loss': '0.01699', 'pidinet_loss': '0.2431', 'siglip_loss': '0.6115', 'epoch': '0.18'} + 56%|████████████████ | 5003/9000 [3:16:24<13:26:05, 12.10s/it][Dataset] cur_step=5004 phase=C_full_covt +[Dataset] cur_step=5004 phase=C_full_covt[Dataset] cur_step=5004 phase=C_full_covt + +[Dataset] cur_step=5004 phase=C_full_covt +[Dataset] cur_step=5004 phase=C_full_covt[Dataset] cur_step=5004 phase=C_full_covt + +[Dataset] cur_step=5004 phase=C_full_covt +[Dataset] cur_step=5004 phase=C_full_covt + 56%|████████████████ | 5004/9000 [3:16:24<10:43:16, 9.66s/it] {'loss': '5.762', 'grad_norm': '13.27', 'learning_rate': '2.244e-05', 'epoch': '0.18'} + 56%|████████████████ | 5004/9000 [3:16:24<10:43:16, 9.66s/it] {'lm_loss': '3.35', 'visual_loss': '2.99', 'seg_loss': '0.7541', 'dino_loss': '0.9224', 'depth_loss': '0.2556', 'vggt_mse_loss': '0.2539', 'vggt_cos_loss': '0.01669', 'pidinet_loss': '0.2792', 'siglip_loss': '0.7789', 'epoch': '0.18'} + 56%|████████████████ | 5004/9000 [3:16:28<10:43:16, 9.66s/it][Dataset] cur_step=5005 phase=C_full_covt +[Dataset] cur_step=5005 phase=C_full_covt +[Dataset] cur_step=5005 phase=C_full_covt +[Dataset] cur_step=5005 phase=C_full_covt[Dataset] cur_step=5005 phase=C_full_covt + +[Dataset] cur_step=5005 phase=C_full_covt +[Dataset] cur_step=5005 phase=C_full_covt +[Dataset] cur_step=5005 phase=C_full_covt + 56%|████████████████▋ | 5005/9000 [3:16:28<8:45:58, 7.90s/it] {'loss': '5.756', 'grad_norm': '13.44', 'learning_rate': '2.243e-05', 'epoch': '0.1801'} + 56%|████████████████▋ | 5005/9000 [3:16:28<8:45:58, 7.90s/it] {'lm_loss': '2.251', 'visual_loss': '2.604', 'seg_loss': '0.7011', 'dino_loss': '0.8761', 'depth_loss': '0.3969', 'vggt_mse_loss': '0.3951', 'vggt_cos_loss': '0.01812', 'pidinet_loss': '0.199', 'siglip_loss': '0.4307', 'epoch': '0.1801'} + 56%|████████████████▋ | 5005/9000 [3:16:32<8:45:58, 7.90s/it][Dataset] cur_step=5006 phase=C_full_covt +[Dataset] cur_step=5006 phase=C_full_covt +[Dataset] cur_step=5006 phase=C_full_covt +[Dataset] cur_step=5006 phase=C_full_covt +[Dataset] cur_step=5006 phase=C_full_covt[Dataset] cur_step=5006 phase=C_full_covt +[Dataset] cur_step=5006 phase=C_full_covt + +[Dataset] cur_step=5006 phase=C_full_covt 56%|████████████████▋ | 5006/9000 [3:16:32<7:32:54, 6.80s/it] + {'loss': '5.276', 'grad_norm': '10.17', 'learning_rate': '2.242e-05', 'epoch': '0.1801'} + 56%|████████████████▋ | 5006/9000 [3:16:32<7:32:54, 6.80s/it]Token indices sequence length is longer than the specified maximum sequence length for this model (2137 > 1024). Running this sequence through the model will result in indexing errors + {'lm_loss': '2.383', 'visual_loss': '2.865', 'seg_loss': '0.7488', 'dino_loss': '0.9278', 'depth_loss': '0.3209', 'vggt_mse_loss': '0.3185', 'vggt_cos_loss': '0.02405', 'pidinet_loss': '0.288', 'siglip_loss': '0.5796', 'epoch': '0.1801'} + 56%|████████████████▋ | 5006/9000 [3:16:36<7:32:54, 6.80s/it][Dataset] cur_step=5007 phase=C_full_covt[Dataset] cur_step=5007 phase=C_full_covt + +[Dataset] cur_step=5007 phase=C_full_covt +[Dataset] cur_step=5007 phase=C_full_covt +[Dataset] cur_step=5007 phase=C_full_covt +[Dataset] cur_step=5007 phase=C_full_covt + 56%|████████████████▋ | 5007/9000 [3:16:37<6:38:18, 5.98s/it][Dataset] cur_step=5007 phase=C_full_covt +[Dataset] cur_step=5007 phase=C_full_covt + {'loss': '5.163', 'grad_norm': '10.97', 'learning_rate': '2.241e-05', 'epoch': '0.1801'} + 56%|████████████████▋ | 5007/9000 [3:16:37<6:38:18, 5.98s/it] {'lm_loss': '3.043', 'visual_loss': '2.918', 'seg_loss': '0.8873', 'dino_loss': '0.9009', 'depth_loss': '0.3035', 'vggt_mse_loss': '0.3017', 'vggt_cos_loss': '0.01744', 'pidinet_loss': '0.2684', 'siglip_loss': '0.558', 'epoch': '0.1801'} + 56%|████████████████▋ | 5007/9000 [3:16:39<6:38:18, 5.98s/it][Dataset] cur_step=5008 phase=C_full_covt[Dataset] cur_step=5008 phase=C_full_covt + +[Dataset] cur_step=5008 phase=C_full_covt[Dataset] cur_step=5008 phase=C_full_covt + +[Dataset] cur_step=5008 phase=C_full_covt +[Dataset] cur_step=5008 phase=C_full_covt +[Dataset] cur_step=5008 phase=C_full_covt +[Dataset] cur_step=5008 phase=C_full_covt + 56%|████████████████▋ | 5008/9000 [3:16:41<6:01:58, 5.44s/it] {'loss': '5.023', 'grad_norm': '7.928', 'learning_rate': '2.241e-05', 'epoch': '0.1802'} + 56%|████████████████▋ | 5008/9000 [3:16:41<6:01:58, 5.44s/it] {'lm_loss': '1.676', 'visual_loss': '2.744', 'seg_loss': '0.7172', 'dino_loss': '0.9195', 'depth_loss': '0.2485', 'vggt_mse_loss': '0.2468', 'vggt_cos_loss': '0.01719', 'pidinet_loss': '0.269', 'siglip_loss': '0.5898', 'epoch': '0.1802'} + 56%|████████████████▋ | 5008/9000 [3:16:44<6:01:58, 5.44s/it][Dataset] cur_step=5009 phase=C_full_covt +[Dataset] cur_step=5009 phase=C_full_covt +[Dataset] cur_step=5009 phase=C_full_covt[Dataset] cur_step=5009 phase=C_full_covt + +[Dataset] cur_step=5009 phase=C_full_covt +[Dataset] cur_step=5009 phase=C_full_covt[Dataset] cur_step=5009 phase=C_full_covt + + 56%|████████████████▋ | 5009/9000 [3:16:45<5:38:00, 5.08s/it][Dataset] cur_step=5009 phase=C_full_covt + {'loss': '4.76', 'grad_norm': '6.724', 'learning_rate': '2.24e-05', 'epoch': '0.1802'} + 56%|████████████████▋ | 5009/9000 [3:16:45<5:38:00, 5.08s/it] {'lm_loss': '2.473', 'visual_loss': '2.894', 'seg_loss': '0.7622', 'dino_loss': '0.8939', 'depth_loss': '0.2555', 'vggt_mse_loss': '0.2537', 'vggt_cos_loss': '0.01792', 'pidinet_loss': '0.2831', 'siglip_loss': '0.6997', 'epoch': '0.1802'} + 56%|████████████████▋ | 5009/9000 [3:16:48<5:38:00, 5.08s/it][Dataset] cur_step=5010 phase=C_full_covt +[Dataset] cur_step=5010 phase=C_full_covt +[Dataset] cur_step=5010 phase=C_full_covt[Dataset] cur_step=5010 phase=C_full_covt + +[Dataset] cur_step=5010 phase=C_full_covt[Dataset] cur_step=5010 phase=C_full_covt + +[Dataset] cur_step=5010 phase=C_full_covt + 56%|████████████████▋ | 5010/9000 [3:16:49<5:12:36, 4.70s/it][Dataset] cur_step=5010 phase=C_full_covt + {'loss': '4.832', 'grad_norm': '7.264', 'learning_rate': '2.239e-05', 'epoch': '0.1802'} + 56%|████████████████▋ | 5010/9000 [3:16:49<5:12:36, 4.70s/it] {'lm_loss': '2.482', 'visual_loss': '2.806', 'seg_loss': '0.6417', 'dino_loss': '0.9109', 'depth_loss': '0.2169', 'vggt_mse_loss': '0.2152', 'vggt_cos_loss': '0.01709', 'pidinet_loss': '0.2878', 'siglip_loss': '0.7487', 'epoch': '0.1802'} + 56%|████████████████▋ | 5010/9000 [3:16:52<5:12:36, 4.70s/it][Dataset] cur_step=5011 phase=C_full_covt +[Dataset] cur_step=5011 phase=C_full_covt +[Dataset] cur_step=5011 phase=C_full_covt +[Dataset] cur_step=5011 phase=C_full_covt[Dataset] cur_step=5011 phase=C_full_covt +[Dataset] cur_step=5011 phase=C_full_covt +[Dataset] cur_step=5011 phase=C_full_covt[Dataset] cur_step=5011 phase=C_full_covt + + + 56%|████████████████▋ | 5011/9000 [3:16:53<4:58:30, 4.49s/it] {'loss': '4.955', 'grad_norm': '8.321', 'learning_rate': '2.238e-05', 'epoch': '0.1803'} + 56%|████████████████▋ | 5011/9000 [3:16:53<4:58:30, 4.49s/it] {'lm_loss': '2.381', 'visual_loss': '3.178', 'seg_loss': '0.8221', 'dino_loss': '0.9211', 'depth_loss': '0.3868', 'vggt_mse_loss': '0.3838', 'vggt_cos_loss': '0.03022', 'pidinet_loss': '0.2607', 'siglip_loss': '0.7876', 'epoch': '0.1803'} + 56%|████████████████▋ | 5011/9000 [3:16:56<4:58:30, 4.49s/it][Dataset] cur_step=5012 phase=C_full_covt +[Dataset] cur_step=5012 phase=C_full_covt +[Dataset] cur_step=5012 phase=C_full_covt +[Dataset] cur_step=5012 phase=C_full_covt +[Dataset] cur_step=5012 phase=C_full_covt +[Dataset] cur_step=5012 phase=C_full_covt +[Dataset] cur_step=5012 phase=C_full_covt[Dataset] cur_step=5012 phase=C_full_covt + + 56%|████████████████▋ | 5012/9000 [3:16:57<4:47:41, 4.33s/it] {'loss': '4.904', 'grad_norm': '6.79', 'learning_rate': '2.237e-05', 'epoch': '0.1803'} + 56%|████████████████▋ | 5012/9000 [3:16:57<4:47:41, 4.33s/it] {'lm_loss': '1.731', 'visual_loss': '2.741', 'seg_loss': '0.5771', 'dino_loss': '0.898', 'depth_loss': '0.3575', 'vggt_mse_loss': '0.3547', 'vggt_cos_loss': '0.02815', 'pidinet_loss': '0.245', 'siglip_loss': '0.6631', 'epoch': '0.1803'} + 56%|████████████████▋ | 5012/9000 [3:17:00<4:47:41, 4.33s/it][Dataset] cur_step=5013 phase=C_full_covt[Dataset] cur_step=5013 phase=C_full_covt + +[Dataset] cur_step=5013 phase=C_full_covt[Dataset] cur_step=5013 phase=C_full_covt + + 56%|████████████████▋ | 5013/9000 [3:17:01<4:40:26, 4.22s/it][Dataset] cur_step=5013 phase=C_full_covt[Dataset] cur_step=5013 phase=C_full_covt + +[Dataset] cur_step=5013 phase=C_full_covt +[Dataset] cur_step=5013 phase=C_full_covt + {'loss': '4.668', 'grad_norm': '7.749', 'learning_rate': '2.236e-05', 'epoch': '0.1803'} + 56%|████████████████▋ | 5013/9000 [3:17:01<4:40:26, 4.22s/it] {'lm_loss': '1.551', 'visual_loss': '2.827', 'seg_loss': '0.7177', 'dino_loss': '0.9202', 'depth_loss': '0.2319', 'vggt_mse_loss': '0.2301', 'vggt_cos_loss': '0.01803', 'pidinet_loss': '0.2384', 'siglip_loss': '0.7186', 'epoch': '0.1803'} + 56%|████████████████▋ | 5013/9000 [3:17:04<4:40:26, 4.22s/it][Dataset] cur_step=5014 phase=C_full_covt +[Dataset] cur_step=5014 phase=C_full_covt +[Dataset] cur_step=5014 phase=C_full_covt +[Dataset] cur_step=5014 phase=C_full_covt[Dataset] cur_step=5014 phase=C_full_covt + +[Dataset] cur_step=5014 phase=C_full_covt + 56%|████████████████▋ | 5014/9000 [3:17:05<4:46:51, 4.32s/it][Dataset] cur_step=5014 phase=C_full_covt +[Dataset] cur_step=5014 phase=C_full_covt + {'loss': '4.349', 'grad_norm': '5.625', 'learning_rate': '2.235e-05', 'epoch': '0.1804'} + 56%|████████████████▋ | 5014/9000 [3:17:05<4:46:51, 4.32s/it] {'lm_loss': '1.431', 'visual_loss': '2.713', 'seg_loss': '0.7015', 'dino_loss': '0.9131', 'depth_loss': '0.2867', 'vggt_mse_loss': '0.285', 'vggt_cos_loss': '0.01755', 'pidinet_loss': '0.2264', 'siglip_loss': '0.5853', 'epoch': '0.1804'} + 56%|████████████████▋ | 5014/9000 [3:17:08<4:46:51, 4.32s/it][Dataset] cur_step=5015 phase=C_full_covt +[Dataset] cur_step=5015 phase=C_full_covt +[Dataset] cur_step=5015 phase=C_full_covt[Dataset] cur_step=5015 phase=C_full_covt +[Dataset] cur_step=5015 phase=C_full_covt + + 56%|████████████████▋ | 5015/9000 [3:17:10<4:46:34, 4.31s/it][Dataset] cur_step=5015 phase=C_full_covt +[Dataset] cur_step=5015 phase=C_full_covt +[Dataset] cur_step=5015 phase=C_full_covt + {'loss': '4.429', 'grad_norm': '6.552', 'learning_rate': '2.234e-05', 'epoch': '0.1804'} + 56%|████████████████▋ | 5015/9000 [3:17:10<4:46:34, 4.31s/it] {'lm_loss': '1.64', 'visual_loss': '2.604', 'seg_loss': '0.6268', 'dino_loss': '0.9208', 'depth_loss': '0.2786', 'vggt_mse_loss': '0.2766', 'vggt_cos_loss': '0.02019', 'pidinet_loss': '0.2201', 'siglip_loss': '0.5575', 'epoch': '0.1804'} + 56%|████████████████▋ | 5015/9000 [3:17:13<4:46:34, 4.31s/it][Dataset] cur_step=5016 phase=C_full_covt +[Dataset] cur_step=5016 phase=C_full_covt +[Dataset] cur_step=5016 phase=C_full_covt +[Dataset] cur_step=5016 phase=C_full_covt +[Dataset] cur_step=5016 phase=C_full_covt +[Dataset] cur_step=5016 phase=C_full_covt +[Dataset] cur_step=5016 phase=C_full_covt 56%|████████████████▋ | 5016/9000 [3:17:14<4:46:12, 4.31s/it] +[Dataset] cur_step=5016 phase=C_full_covt + {'loss': '4.245', 'grad_norm': '6.412', 'learning_rate': '2.233e-05', 'epoch': '0.1805'} + 56%|████████████████▋ | 5016/9000 [3:17:14<4:46:12, 4.31s/it] {'lm_loss': '1.262', 'visual_loss': '2.39', 'seg_loss': '0.6367', 'dino_loss': '0.8973', 'depth_loss': '0.2788', 'vggt_mse_loss': '0.2772', 'vggt_cos_loss': '0.01639', 'pidinet_loss': '0.1691', 'siglip_loss': '0.4084', 'epoch': '0.1805'} + 56%|████████████████▋ | 5016/9000 [3:17:17<4:46:12, 4.31s/it][Dataset] cur_step=5017 phase=C_full_covt +[Dataset] cur_step=5017 phase=C_full_covt +[Dataset] cur_step=5017 phase=C_full_covt +[Dataset] cur_step=5017 phase=C_full_covt +[Dataset] cur_step=5017 phase=C_full_covt +[Dataset] cur_step=5017 phase=C_full_covt[Dataset] cur_step=5017 phase=C_full_covt + + 56%|████████████████▋ | 5017/9000 [3:17:18<4:38:03, 4.19s/it][Dataset] cur_step=5017 phase=C_full_covt + {'loss': '4.064', 'grad_norm': '5.55', 'learning_rate': '2.232e-05', 'epoch': '0.1805'} + 56%|████████████████▋ | 5017/9000 [3:17:18<4:38:03, 4.19s/it] {'lm_loss': '1.168', 'visual_loss': '2.709', 'seg_loss': '0.6759', 'dino_loss': '0.9404', 'depth_loss': '0.2494', 'vggt_mse_loss': '0.2474', 'vggt_cos_loss': '0.01995', 'pidinet_loss': '0.2525', 'siglip_loss': '0.5903', 'epoch': '0.1805'} + 56%|████████████████▋ | 5017/9000 [3:17:22<4:38:03, 4.19s/it][Dataset] cur_step=5018 phase=C_full_covt[Dataset] cur_step=5018 phase=C_full_covt + +[Dataset] cur_step=5018 phase=C_full_covt + 56%|████████████████▋ | 5018/9000 [3:17:22<4:42:20, 4.25s/it][Dataset] cur_step=5018 phase=C_full_covt +[Dataset] cur_step=5018 phase=C_full_covt +[Dataset] cur_step=5018 phase=C_full_covt[Dataset] cur_step=5018 phase=C_full_covt + +[Dataset] cur_step=5018 phase=C_full_covt + {'loss': '3.933', 'grad_norm': '5.055', 'learning_rate': '2.231e-05', 'epoch': '0.1805'} + 56%|████████████████▋ | 5018/9000 [3:17:22<4:42:20, 4.25s/it] {'lm_loss': '1.202', 'visual_loss': '2.487', 'seg_loss': '0.6734', 'dino_loss': '0.8737', 'depth_loss': '0.2239', 'vggt_mse_loss': '0.2226', 'vggt_cos_loss': '0.01307', 'pidinet_loss': '0.248', 'siglip_loss': '0.4681', 'epoch': '0.1805'} + 56%|████████████████▋ | 5018/9000 [3:17:26<4:42:20, 4.25s/it][Dataset] cur_step=5019 phase=C_full_covt +[Dataset] cur_step=5019 phase=C_full_covt +[Dataset] cur_step=5019 phase=C_full_covt +[Dataset] cur_step=5019 phase=C_full_covt +[Dataset] cur_step=5019 phase=C_full_covt +[Dataset] cur_step=5019 phase=C_full_covt +[Dataset] cur_step=5019 phase=C_full_covt[Dataset] cur_step=5019 phase=C_full_covt + + 56%|████████████████▋ | 5019/9000 [3:17:26<4:43:05, 4.27s/it] {'loss': '3.995', 'grad_norm': '5.06', 'learning_rate': '2.23e-05', 'epoch': '0.1806'} + 56%|████████████████▋ | 5019/9000 [3:17:26<4:43:05, 4.27s/it]Token indices sequence length is longer than the specified maximum sequence length for this model (1534 > 1024). Running this sequence through the model will result in indexing errors + {'lm_loss': '1.084', 'visual_loss': '2.474', 'seg_loss': '0.6509', 'dino_loss': '0.9211', 'depth_loss': '0.2591', 'vggt_mse_loss': '0.2576', 'vggt_cos_loss': '0.01513', 'pidinet_loss': '0.1885', 'siglip_loss': '0.4541', 'epoch': '0.1806'} + 56%|████████████████▋ | 5019/9000 [3:17:30<4:43:05, 4.27s/it][Dataset] cur_step=5020 phase=C_full_covt +[Dataset] cur_step=5020 phase=C_full_covt[Dataset] cur_step=5020 phase=C_full_covt + + 56%|████████████████▋ | 5020/9000 [3:17:30<4:36:38, 4.17s/it][Dataset] cur_step=5020 phase=C_full_covt +[Dataset] cur_step=5020 phase=C_full_covt[Dataset] cur_step=5020 phase=C_full_covt + +[Dataset] cur_step=5020 phase=C_full_covt +[Dataset] cur_step=5020 phase=C_full_covt + {'loss': '3.777', 'grad_norm': '5.313', 'learning_rate': '2.23e-05', 'epoch': '0.1806'} + 56%|████████████████▋ | 5020/9000 [3:17:30<4:36:38, 4.17s/it] {'lm_loss': '1.256', 'visual_loss': '2.939', 'seg_loss': '0.8133', 'dino_loss': '0.9078', 'depth_loss': '0.3309', 'vggt_mse_loss': '0.3291', 'vggt_cos_loss': '0.018', 'pidinet_loss': '0.2262', 'siglip_loss': '0.6606', 'epoch': '0.1806'} + 56%|████████████████▋ | 5020/9000 [3:17:33<4:36:38, 4.17s/it][Dataset] cur_step=5021 phase=C_full_covt +[Dataset] cur_step=5021 phase=C_full_covt +[Dataset] cur_step=5021 phase=C_full_covt + 56%|████████████████▋ | 5021/9000 [3:17:34<4:28:52, 4.05s/it][Dataset] cur_step=5021 phase=C_full_covt +[Dataset] cur_step=5021 phase=C_full_covt +[Dataset] cur_step=5021 phase=C_full_covt +[Dataset] cur_step=5021 phase=C_full_covt +[Dataset] cur_step=5021 phase=C_full_covt + {'loss': '3.865', 'grad_norm': '7.46', 'learning_rate': '2.229e-05', 'epoch': '0.1806'} + 56%|████████████████▋ | 5021/9000 [3:17:34<4:28:52, 4.05s/it] {'lm_loss': '0.996', 'visual_loss': '2.722', 'seg_loss': '0.6142', 'dino_loss': '0.9107', 'depth_loss': '0.2957', 'vggt_mse_loss': '0.2938', 'vggt_cos_loss': '0.01918', 'pidinet_loss': '0.2812', 'siglip_loss': '0.6202', 'epoch': '0.1806'} + 56%|████████████████▋ | 5021/9000 [3:17:38<4:28:52, 4.05s/it][Dataset] cur_step=5022 phase=C_full_covt +[Dataset] cur_step=5022 phase=C_full_covt +[Dataset] cur_step=5022 phase=C_full_covt +[Dataset] cur_step=5022 phase=C_full_covt 56%|████████████████▋ | 5022/9000 [3:17:38<4:25:58, 4.01s/it] +[Dataset] cur_step=5022 phase=C_full_covt +[Dataset] cur_step=5022 phase=C_full_covt +[Dataset] cur_step=5022 phase=C_full_covt +[Dataset] cur_step=5022 phase=C_full_covt + {'loss': '3.494', 'grad_norm': '4.32', 'learning_rate': '2.228e-05', 'epoch': '0.1807'} + 56%|████████████████▋ | 5022/9000 [3:17:38<4:25:58, 4.01s/it] {'lm_loss': '0.9881', 'visual_loss': '2.785', 'seg_loss': '0.6993', 'dino_loss': '0.907', 'depth_loss': '0.2402', 'vggt_mse_loss': '0.2383', 'vggt_cos_loss': '0.01902', 'pidinet_loss': '0.3059', 'siglip_loss': '0.6329', 'epoch': '0.1807'} + 56%|████████████████▋ | 5022/9000 [3:17:42<4:25:58, 4.01s/it][Dataset] cur_step=5023 phase=C_full_covt +[Dataset] cur_step=5023 phase=C_full_covt +[Dataset] cur_step=5023 phase=C_full_covt +[Dataset] cur_step=5023 phase=C_full_covt[Dataset] cur_step=5023 phase=C_full_covt[Dataset] cur_step=5023 phase=C_full_covt + + +[Dataset] cur_step=5023 phase=C_full_covt + 56%|████████████████▋ | 5023/9000 [3:17:43<4:38:53, 4.21s/it][Dataset] cur_step=5023 phase=C_full_covt + {'loss': '3.548', 'grad_norm': '4.038', 'learning_rate': '2.227e-05', 'epoch': '0.1807'} + 56%|████████████████▋ | 5023/9000 [3:17:43<4:38:53, 4.21s/it]Token indices sequence length is longer than the specified maximum sequence length for this model (2137 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1087 > 1024). Running this sequence through the model will result in indexing errors + {'lm_loss': '0.728', 'visual_loss': '2.752', 'seg_loss': '0.7617', 'dino_loss': '0.9118', 'depth_loss': '0.2872', 'vggt_mse_loss': '0.2856', 'vggt_cos_loss': '0.01584', 'pidinet_loss': '0.2319', 'siglip_loss': '0.5591', 'epoch': '0.1807'} + 56%|████████████████▋ | 5023/9000 [3:17:46<4:38:53, 4.21s/it][Dataset] cur_step=5024 phase=C_full_covt[Dataset] cur_step=5024 phase=C_full_covt + +[Dataset] cur_step=5024 phase=C_full_covt[Dataset] cur_step=5024 phase=C_full_covt + +[Dataset] cur_step=5024 phase=C_full_covt +[Dataset] cur_step=5024 phase=C_full_covt 56%|████████████████▋ | 5024/9000 [3:17:47<4:35:07, 4.15s/it] +[Dataset] cur_step=5024 phase=C_full_covt +[Dataset] cur_step=5024 phase=C_full_covt + {'loss': '3.361', 'grad_norm': '3.932', 'learning_rate': '2.226e-05', 'epoch': '0.1807'} + 56%|████████████████▋ | 5024/9000 [3:17:47<4:35:07, 4.15s/it] {'lm_loss': '0.6165', 'visual_loss': '3.076', 'seg_loss': '0.8132', 'dino_loss': '0.9314', 'depth_loss': '0.2527', 'vggt_mse_loss': '0.2512', 'vggt_cos_loss': '0.01447', 'pidinet_loss': '0.2732', 'siglip_loss': '0.8054', 'epoch': '0.1807'} + 56%|████████████████▋ | 5024/9000 [3:17:50<4:35:07, 4.15s/it][Dataset] cur_step=5025 phase=C_full_covt +[Dataset] cur_step=5025 phase=C_full_covt +[Dataset] cur_step=5025 phase=C_full_covt[Dataset] cur_step=5025 phase=C_full_covt + +[Dataset] cur_step=5025 phase=C_full_covt +[Dataset] cur_step=5025 phase=C_full_covt[Dataset] cur_step=5025 phase=C_full_covt[Dataset] cur_step=5025 phase=C_full_covt + + + 56%|████████████████▊ | 5025/9000 [3:17:51<4:29:16, 4.06s/it] {'loss': '3.528', 'grad_norm': '3.183', 'learning_rate': '2.225e-05', 'epoch': '0.1808'} + 56%|████████████████▊ | 5025/9000 [3:17:51<4:29:16, 4.06s/it] {'lm_loss': '0.3135', 'visual_loss': '2.695', 'seg_loss': '0.675', 'dino_loss': '0.8775', 'depth_loss': '0.1652', 'vggt_mse_loss': '0.164', 'vggt_cos_loss': '0.01263', 'pidinet_loss': '0.2871', 'siglip_loss': '0.6902', 'epoch': '0.1808'} + 56%|████████████████▊ | 5025/9000 [3:17:54<4:29:16, 4.06s/it][Dataset] cur_step=5026 phase=C_full_covt +[Dataset] cur_step=5026 phase=C_full_covt[Dataset] cur_step=5026 phase=C_full_covt + +[Dataset] cur_step=5026 phase=C_full_covt[Dataset] cur_step=5026 phase=C_full_covt + +[Dataset] cur_step=5026 phase=C_full_covt +[Dataset] cur_step=5026 phase=C_full_covt 56%|████████████████▊ | 5026/9000 [3:17:55<4:26:01, 4.02s/it] +[Dataset] cur_step=5026 phase=C_full_covt + {'loss': '3.149', 'grad_norm': '4.126', 'learning_rate': '2.224e-05', 'epoch': '0.1808'} + 56%|████████████████▊ | 5026/9000 [3:17:55<4:26:01, 4.02s/it] {'lm_loss': '0.8921', 'visual_loss': '2.811', 'seg_loss': '0.6872', 'dino_loss': '0.9312', 'depth_loss': '0.3641', 'vggt_mse_loss': '0.3611', 'vggt_cos_loss': '0.03018', 'pidinet_loss': '0.2845', 'siglip_loss': '0.5435', 'epoch': '0.1808'} + 56%|████████████████▊ | 5026/9000 [3:17:58<4:26:01, 4.02s/it][Dataset] cur_step=5027 phase=C_full_covt[Dataset] cur_step=5027 phase=C_full_covt + +[Dataset] cur_step=5027 phase=C_full_covt +[Dataset] cur_step=5027 phase=C_full_covt +[Dataset] cur_step=5027 phase=C_full_covt[Dataset] cur_step=5027 phase=C_full_covt + + 56%|████████████████▊ | 5027/9000 [3:17:58<4:24:35, 4.00s/it][Dataset] cur_step=5027 phase=C_full_covt +[Dataset] cur_step=5027 phase=C_full_covt + {'loss': '3.334', 'grad_norm': '3.725', 'learning_rate': '2.223e-05', 'epoch': '0.1808'} + 56%|████████████████▊ | 5027/9000 [3:17:58<4:24:35, 4.00s/it] {'lm_loss': '0.6625', 'visual_loss': '2.633', 'seg_loss': '0.6718', 'dino_loss': '0.8871', 'depth_loss': '0.2387', 'vggt_mse_loss': '0.2372', 'vggt_cos_loss': '0.01471', 'pidinet_loss': '0.2538', 'siglip_loss': '0.5817', 'epoch': '0.1808'} + 56%|████████████████▊ | 5027/9000 [3:18:02<4:24:35, 4.00s/it][Dataset] cur_step=5028 phase=C_full_covt +[Dataset] cur_step=5028 phase=C_full_covt +[Dataset] cur_step=5028 phase=C_full_covt[Dataset] cur_step=5028 phase=C_full_covt + +[Dataset] cur_step=5028 phase=C_full_covt +[Dataset] cur_step=5028 phase=C_full_covt + 56%|████████████████▊ | 5028/9000 [3:18:03<4:26:01, 4.02s/it][Dataset] cur_step=5028 phase=C_full_covt +[Dataset] cur_step=5028 phase=C_full_covt + {'loss': '3.192', 'grad_norm': '2.958', 'learning_rate': '2.222e-05', 'epoch': '0.1809'} + 56%|████████████████▊ | 5028/9000 [3:18:03<4:26:01, 4.02s/it] {'lm_loss': '0.5032', 'visual_loss': '2.831', 'seg_loss': '0.7274', 'dino_loss': '0.9063', 'depth_loss': '0.3035', 'vggt_mse_loss': '0.3017', 'vggt_cos_loss': '0.01876', 'pidinet_loss': '0.2517', 'siglip_loss': '0.6417', 'epoch': '0.1809'} + 56%|████████████████▊ | 5028/9000 [3:18:06<4:26:01, 4.02s/it][Dataset] cur_step=5029 phase=C_full_covt +[Dataset] cur_step=5029 phase=C_full_covt[Dataset] cur_step=5029 phase=C_full_covt + +[Dataset] cur_step=5029 phase=C_full_covt[Dataset] cur_step=5029 phase=C_full_covt + +[Dataset] cur_step=5029 phase=C_full_covt +[Dataset] cur_step=5029 phase=C_full_covt +[Dataset] cur_step=5029 phase=C_full_covt + 56%|████████████████▊ | 5029/9000 [3:18:06<4:23:02, 3.97s/it] {'loss': '3.32', 'grad_norm': '4.055', 'learning_rate': '2.221e-05', 'epoch': '0.1809'} + 56%|████████████████▊ | 5029/9000 [3:18:06<4:23:02, 3.97s/it] {'lm_loss': '0.5482', 'visual_loss': '2.912', 'seg_loss': '0.74', 'dino_loss': '0.9417', 'depth_loss': '0.3596', 'vggt_mse_loss': '0.3569', 'vggt_cos_loss': '0.02736', 'pidinet_loss': '0.249', 'siglip_loss': '0.6217', 'epoch': '0.1809'} + 56%|████████████████▊ | 5029/9000 [3:18:10<4:23:02, 3.97s/it][Dataset] cur_step=5030 phase=C_full_covt +[Dataset] cur_step=5030 phase=C_full_covt[Dataset] cur_step=5030 phase=C_full_covt + +[Dataset] cur_step=5030 phase=C_full_covt[Dataset] cur_step=5030 phase=C_full_covt[Dataset] cur_step=5030 phase=C_full_covt + + +[Dataset] cur_step=5030 phase=C_full_covt +[Dataset] cur_step=5030 phase=C_full_covt + 56%|████████████████▊ | 5030/9000 [3:18:10<4:24:22, 4.00s/it] {'loss': '3.166', 'grad_norm': '2.535', 'learning_rate': '2.22e-05', 'epoch': '0.181'} + 56%|████████████████▊ | 5030/9000 [3:18:10<4:24:22, 4.00s/it] {'lm_loss': '1.054', 'visual_loss': '3.181', 'seg_loss': '0.7834', 'dino_loss': '0.9202', 'depth_loss': '0.4003', 'vggt_mse_loss': '0.3963', 'vggt_cos_loss': '0.04034', 'pidinet_loss': '0.278', 'siglip_loss': '0.7992', 'epoch': '0.181'} + 56%|████████████████▊ | 5030/9000 [3:18:14<4:24:22, 4.00s/it][Dataset] cur_step=5031 phase=C_full_covt +[Dataset] cur_step=5031 phase=C_full_covt +[Dataset] cur_step=5031 phase=C_full_covt +[Dataset] cur_step=5031 phase=C_full_covt +[Dataset] cur_step=5031 phase=C_full_covt[Dataset] cur_step=5031 phase=C_full_covt + +[Dataset] cur_step=5031 phase=C_full_covt + 56%|████████████████▊ | 5031/9000 [3:18:15<4:25:00, 4.01s/it][Dataset] cur_step=5031 phase=C_full_covt + {'loss': '3.365', 'grad_norm': '4.709', 'learning_rate': '2.22e-05', 'epoch': '0.181'} + 56%|████████████████▊ | 5031/9000 [3:18:15<4:25:00, 4.01s/it] {'lm_loss': '1.05', 'visual_loss': '2.659', 'seg_loss': '0.7534', 'dino_loss': '0.8938', 'depth_loss': '0.2126', 'vggt_mse_loss': '0.2114', 'vggt_cos_loss': '0.01144', 'pidinet_loss': '0.2675', 'siglip_loss': '0.5321', 'epoch': '0.181'} + 56%|████████████████▊ | 5031/9000 [3:18:18<4:25:00, 4.01s/it][Dataset] cur_step=5032 phase=C_full_covt +[Dataset] cur_step=5032 phase=C_full_covt +[Dataset] cur_step=5032 phase=C_full_covt +[Dataset] cur_step=5032 phase=C_full_covt[Dataset] cur_step=5032 phase=C_full_covt + +[Dataset] cur_step=5032 phase=C_full_covt +[Dataset] cur_step=5032 phase=C_full_covt +[Dataset] cur_step=5032 phase=C_full_covt + 56%|████████████████▊ | 5032/9000 [3:18:19<4:25:26, 4.01s/it] {'loss': '3.276', 'grad_norm': '2.346', 'learning_rate': '2.219e-05', 'epoch': '0.181'} + 56%|████████████████▊ | 5032/9000 [3:18:19<4:25:26, 4.01s/it] {'lm_loss': '0.2263', 'visual_loss': '2.742', 'seg_loss': '0.7155', 'dino_loss': '0.9161', 'depth_loss': '0.2614', 'vggt_mse_loss': '0.2597', 'vggt_cos_loss': '0.01734', 'pidinet_loss': '0.2448', 'siglip_loss': '0.6041', 'epoch': '0.181'} + 56%|████████████████▊ | 5032/9000 [3:18:22<4:25:26, 4.01s/it][Dataset] cur_step=5033 phase=C_full_covt +[Dataset] cur_step=5033 phase=C_full_covt +[Dataset] cur_step=5033 phase=C_full_covt[Dataset] cur_step=5033 phase=C_full_covt +[Dataset] cur_step=5033 phase=C_full_covt[Dataset] cur_step=5033 phase=C_full_covt + + +[Dataset] cur_step=5033 phase=C_full_covt + 56%|████████████████▊ | 5033/9000 [3:18:22<4:17:40, 3.90s/it][Dataset] cur_step=5033 phase=C_full_covt + {'loss': '3.322', 'grad_norm': '4.77', 'learning_rate': '2.218e-05', 'epoch': '0.1811'} + 56%|████████████████▊ | 5033/9000 [3:18:22<4:17:40, 3.90s/it] {'lm_loss': '0.3361', 'visual_loss': '2.611', 'seg_loss': '0.6373', 'dino_loss': '0.8987', 'depth_loss': '0.2244', 'vggt_mse_loss': '0.2232', 'vggt_cos_loss': '0.01283', 'pidinet_loss': '0.1866', 'siglip_loss': '0.6637', 'epoch': '0.1811'} + 56%|████████████████▊ | 5033/9000 [3:18:26<4:17:40, 3.90s/it][Dataset] cur_step=5034 phase=C_full_covt +[Dataset] cur_step=5034 phase=C_full_covt +[Dataset] cur_step=5034 phase=C_full_covt[Dataset] cur_step=5034 phase=C_full_covt +[Dataset] cur_step=5034 phase=C_full_covt + +[Dataset] cur_step=5034 phase=C_full_covt + 56%|████████████████▊ | 5034/9000 [3:18:26<4:18:31, 3.91s/it][Dataset] cur_step=5034 phase=C_full_covt +[Dataset] cur_step=5034 phase=C_full_covt + {'loss': '3.184', 'grad_norm': '2.964', 'learning_rate': '2.217e-05', 'epoch': '0.1811'} + 56%|████████████████▊ | 5034/9000 [3:18:26<4:18:31, 3.91s/it] {'lm_loss': '0.1865', 'visual_loss': '2.611', 'seg_loss': '0.6995', 'dino_loss': '0.9227', 'depth_loss': '0.2348', 'vggt_mse_loss': '0.2332', 'vggt_cos_loss': '0.0156', 'pidinet_loss': '0.2477', 'siglip_loss': '0.5058', 'epoch': '0.1811'} + 56%|████████████████▊ | 5034/9000 [3:18:29<4:18:31, 3.91s/it][Dataset] cur_step=5035 phase=C_full_covt[Dataset] cur_step=5035 phase=C_full_covt + +[Dataset] cur_step=5035 phase=C_full_covt +[Dataset] cur_step=5035 phase=C_full_covt +[Dataset] cur_step=5035 phase=C_full_covt +[Dataset] cur_step=5035 phase=C_full_covt +[Dataset] cur_step=5035 phase=C_full_covt + 56%|████████████████▊ | 5035/9000 [3:18:30<4:23:03, 3.98s/it][Dataset] cur_step=5035 phase=C_full_covt + {'loss': '3.104', 'grad_norm': '2.774', 'learning_rate': '2.216e-05', 'epoch': '0.1811'} + 56%|████████████████▊ | 5035/9000 [3:18:30<4:23:03, 3.98s/it] {'lm_loss': '0.4874', 'visual_loss': '2.467', 'seg_loss': '0.6477', 'dino_loss': '0.9266', 'depth_loss': '0.2338', 'vggt_mse_loss': '0.2326', 'vggt_cos_loss': '0.01186', 'pidinet_loss': '0.2211', 'siglip_loss': '0.4382', 'epoch': '0.1811'} + 56%|████████████████▊ | 5035/9000 [3:18:34<4:23:03, 3.98s/it][Dataset] cur_step=5036 phase=C_full_covt[Dataset] cur_step=5036 phase=C_full_covt +[Dataset] cur_step=5036 phase=C_full_covt + +[Dataset] cur_step=5036 phase=C_full_covt[Dataset] cur_step=5036 phase=C_full_covt + +[Dataset] cur_step=5036 phase=C_full_covt +[Dataset] cur_step=5036 phase=C_full_covt + 56%|████████████████▊ | 5036/9000 [3:18:34<4:21:01, 3.95s/it][Dataset] cur_step=5036 phase=C_full_covt + {'loss': '3.207', 'grad_norm': '2.372', 'learning_rate': '2.215e-05', 'epoch': '0.1812'} + 56%|████████████████▊ | 5036/9000 [3:18:34<4:21:01, 3.95s/it] {'lm_loss': '0.4782', 'visual_loss': '3.423', 'seg_loss': '0.8938', 'dino_loss': '0.9291', 'depth_loss': '0.589', 'vggt_mse_loss': '0.5843', 'vggt_cos_loss': '0.04694', 'pidinet_loss': '0.1639', 'siglip_loss': '0.8471', 'epoch': '0.1812'} + 56%|████████████████▊ | 5036/9000 [3:18:37<4:21:01, 3.95s/it][Dataset] cur_step=5037 phase=C_full_covt +[Dataset] cur_step=5037 phase=C_full_covt +[Dataset] cur_step=5037 phase=C_full_covt +[Dataset] cur_step=5037 phase=C_full_covt +[Dataset] cur_step=5037 phase=C_full_covt +[Dataset] cur_step=5037 phase=C_full_covt[Dataset] cur_step=5037 phase=C_full_covt + +[Dataset] cur_step=5037 phase=C_full_covt + 56%|████████████████▊ | 5037/9000 [3:18:38<4:17:24, 3.90s/it] {'loss': '3.36', 'grad_norm': '2.904', 'learning_rate': '2.214e-05', 'epoch': '0.1812'} + 56%|████████████████▊ | 5037/9000 [3:18:38<4:17:24, 3.90s/it] {'lm_loss': '0.7366', 'visual_loss': '2.193', 'seg_loss': '0.6633', 'dino_loss': '0.8558', 'depth_loss': '0.2179', 'vggt_mse_loss': '0.217', 'vggt_cos_loss': '0.009027', 'pidinet_loss': '0.1555', 'siglip_loss': '0.3007', 'epoch': '0.1812'} + 56%|████████████████▊ | 5037/9000 [3:18:41<4:17:24, 3.90s/it][Dataset] cur_step=5038 phase=C_full_covt +[Dataset] cur_step=5038 phase=C_full_covt +[Dataset] cur_step=5038 phase=C_full_covt +[Dataset] cur_step=5038 phase=C_full_covt +[Dataset] cur_step=5038 phase=C_full_covt +[Dataset] cur_step=5038 phase=C_full_covt +[Dataset] cur_step=5038 phase=C_full_covt 56%|████████████████▊ | 5038/9000 [3:18:42<4:25:35, 4.02s/it] +[Dataset] cur_step=5038 phase=C_full_covt + {'loss': '3.047', 'grad_norm': '3.783', 'learning_rate': '2.213e-05', 'epoch': '0.1812'} + 56%|████████████████▊ | 5038/9000 [3:18:42<4:25:35, 4.02s/it] {'lm_loss': '0.01169', 'visual_loss': '2.625', 'seg_loss': '0.5566', 'dino_loss': '0.9058', 'depth_loss': '0.2442', 'vggt_mse_loss': '0.2429', 'vggt_cos_loss': '0.01335', 'pidinet_loss': '0.2188', 'siglip_loss': '0.6994', 'epoch': '0.1812'} + 56%|████████████████▊ | 5038/9000 [3:18:46<4:25:35, 4.02s/it][Dataset] cur_step=5039 phase=C_full_covt[Dataset] cur_step=5039 phase=C_full_covt + +[Dataset] cur_step=5039 phase=C_full_covt +[Dataset] cur_step=5039 phase=C_full_covt +[Dataset] cur_step=5039 phase=C_full_covt + 56%|████████████████▊ | 5039/9000 [3:18:47<4:38:02, 4.21s/it][Dataset] cur_step=5039 phase=C_full_covt[Dataset] cur_step=5039 phase=C_full_covt + +[Dataset] cur_step=5039 phase=C_full_covt + {'loss': '3.117', 'grad_norm': '2.333', 'learning_rate': '2.212e-05', 'epoch': '0.1813'} + 56%|████████████████▊ | 5039/9000 [3:18:47<4:38:02, 4.21s/it] {'lm_loss': '0.2615', 'visual_loss': '2.779', 'seg_loss': '0.5108', 'dino_loss': '0.8914', 'depth_loss': '0.2679', 'vggt_mse_loss': '0.2663', 'vggt_cos_loss': '0.01617', 'pidinet_loss': '0.2323', 'siglip_loss': '0.8767', 'epoch': '0.1813'} + 56%|████████████████▊ | 5039/9000 [3:18:51<4:38:02, 4.21s/it][Dataset] cur_step=5040 phase=C_full_covt +[Dataset] cur_step=5040 phase=C_full_covt +[Dataset] cur_step=5040 phase=C_full_covt[Dataset] cur_step=5040 phase=C_full_covt +[Dataset] cur_step=5040 phase=C_full_covt + +[Dataset] cur_step=5040 phase=C_full_covt + 56%|████████████████▊ | 5040/9000 [3:18:51<4:38:26, 4.22s/it][Dataset] cur_step=5040 phase=C_full_covt +[Dataset] cur_step=5040 phase=C_full_covt + {'loss': '3.182', 'grad_norm': '3.708', 'learning_rate': '2.211e-05', 'epoch': '0.1813'} + 56%|████████████████▊ | 5040/9000 [3:18:51<4:38:26, 4.22s/it] {'lm_loss': '0.571', 'visual_loss': '2.817', 'seg_loss': '0.7907', 'dino_loss': '0.8798', 'depth_loss': '0.2367', 'vggt_mse_loss': '0.2353', 'vggt_cos_loss': '0.014', 'pidinet_loss': '0.2218', 'siglip_loss': '0.6878', 'epoch': '0.1813'} + 56%|████████████████▊ | 5040/9000 [3:18:54<4:38:26, 4.22s/it][Dataset] cur_step=5041 phase=C_full_covt[Dataset] cur_step=5041 phase=C_full_covt + +[Dataset] cur_step=5041 phase=C_full_covt +[Dataset] cur_step=5041 phase=C_full_covt +[Dataset] cur_step=5041 phase=C_full_covt[Dataset] cur_step=5041 phase=C_full_covt[Dataset] cur_step=5041 phase=C_full_covt + + +[Dataset] cur_step=5041 phase=C_full_covt + 56%|████████████████▊ | 5041/9000 [3:18:55<4:35:15, 4.17s/it] {'loss': '3.066', 'grad_norm': '2.114', 'learning_rate': '2.21e-05', 'epoch': '0.1814'} + 56%|████████████████▊ | 5041/9000 [3:18:55<4:35:15, 4.17s/it] {'lm_loss': '0.6861', 'visual_loss': '2.677', 'seg_loss': '0.7047', 'dino_loss': '0.9248', 'depth_loss': '0.2716', 'vggt_mse_loss': '0.2695', 'vggt_cos_loss': '0.02112', 'pidinet_loss': '0.2494', 'siglip_loss': '0.527', 'epoch': '0.1814'} + 56%|████████████████▊ | 5041/9000 [3:18:58<4:35:15, 4.17s/it][Dataset] cur_step=5042 phase=C_full_covt +[Dataset] cur_step=5042 phase=C_full_covt +[Dataset] cur_step=5042 phase=C_full_covt +[Dataset] cur_step=5042 phase=C_full_covt[Dataset] cur_step=5042 phase=C_full_covt + +[Dataset] cur_step=5042 phase=C_full_covt + 56%|████████████████▊ | 5042/9000 [3:18:59<4:31:27, 4.11s/it][Dataset] cur_step=5042 phase=C_full_covt +[Dataset] cur_step=5042 phase=C_full_covt + {'loss': '2.912', 'grad_norm': '2.3', 'learning_rate': '2.209e-05', 'epoch': '0.1814'} + 56%|████████████████▊ | 5042/9000 [3:18:59<4:31:27, 4.11s/it] {'lm_loss': '0.668', 'visual_loss': '2.815', 'seg_loss': '0.7937', 'dino_loss': '0.935', 'depth_loss': '0.27', 'vggt_mse_loss': '0.2683', 'vggt_cos_loss': '0.01697', 'pidinet_loss': '0.2092', 'siglip_loss': '0.6076', 'epoch': '0.1814'} + 56%|████████████████▊ | 5042/9000 [3:19:02<4:31:27, 4.11s/it][Dataset] cur_step=5043 phase=C_full_covt +[Dataset] cur_step=5043 phase=C_full_covt[Dataset] cur_step=5043 phase=C_full_covt + +[Dataset] cur_step=5043 phase=C_full_covt +[Dataset] cur_step=5043 phase=C_full_covt[Dataset] cur_step=5043 phase=C_full_covt +[Dataset] cur_step=5043 phase=C_full_covt + + 56%|████████████████▊ | 5043/9000 [3:19:03<4:23:40, 4.00s/it][Dataset] cur_step=5043 phase=C_full_covt + {'loss': '3.148', 'grad_norm': '2.309', 'learning_rate': '2.209e-05', 'epoch': '0.1814'} + 56%|████████████████▊ | 5043/9000 [3:19:03<4:23:40, 4.00s/it] {'lm_loss': '0.01304', 'visual_loss': '2.495', 'seg_loss': '0.6559', 'dino_loss': '0.8813', 'depth_loss': '0.2506', 'vggt_mse_loss': '0.2488', 'vggt_cos_loss': '0.01798', 'pidinet_loss': '0.1967', 'siglip_loss': '0.5105', 'epoch': '0.1814'} + 56%|████████████████▊ | 5043/9000 [3:19:09<4:23:40, 4.00s/it][Dataset] cur_step=5044 phase=C_full_covt +[Dataset] cur_step=5044 phase=C_full_covt +[Dataset] cur_step=5044 phase=C_full_covt + 56%|████████████████▊ | 5044/9000 [3:19:09<5:08:19, 4.68s/it][Dataset] cur_step=5044 phase=C_full_covt[Dataset] cur_step=5044 phase=C_full_covt + +[Dataset] cur_step=5044 phase=C_full_covt +[Dataset] cur_step=5044 phase=C_full_covt +[Dataset] cur_step=5044 phase=C_full_covt + {'loss': '3.075', 'grad_norm': '3.206', 'learning_rate': '2.208e-05', 'epoch': '0.1815'} + 56%|████████████████▊ | 5044/9000 [3:19:09<5:08:19, 4.68s/it] {'lm_loss': '1.036', 'visual_loss': '2.725', 'seg_loss': '0.7122', 'dino_loss': '0.9109', 'depth_loss': '0.2758', 'vggt_mse_loss': '0.2738', 'vggt_cos_loss': '0.01959', 'pidinet_loss': '0.2066', 'siglip_loss': '0.6196', 'epoch': '0.1815'} + 56%|████████████████▊ | 5044/9000 [3:19:12<5:08:19, 4.68s/it][Dataset] cur_step=5045 phase=C_full_covt[Dataset] cur_step=5045 phase=C_full_covt + +[Dataset] cur_step=5045 phase=C_full_covt +[Dataset] cur_step=5045 phase=C_full_covt[Dataset] cur_step=5045 phase=C_full_covt + +[Dataset] cur_step=5045 phase=C_full_covt +[Dataset] cur_step=5045 phase=C_full_covt +[Dataset] cur_step=5045 phase=C_full_covt + 56%|████████████████▊ | 5045/9000 [3:19:13<4:51:27, 4.42s/it] {'loss': '3.201', 'grad_norm': '2.231', 'learning_rate': '2.207e-05', 'epoch': '0.1815'} + 56%|████████████████▊ | 5045/9000 [3:19:13<4:51:27, 4.42s/it] {'lm_loss': '0.7919', 'visual_loss': '2.937', 'seg_loss': '0.7439', 'dino_loss': '0.9215', 'depth_loss': '0.2609', 'vggt_mse_loss': '0.259', 'vggt_cos_loss': '0.0192', 'pidinet_loss': '0.2989', 'siglip_loss': '0.7115', 'epoch': '0.1815'} + 56%|████████████████▊ | 5045/9000 [3:19:16<4:51:27, 4.42s/it][Dataset] cur_step=5046 phase=C_full_covt[Dataset] cur_step=5046 phase=C_full_covt + +[Dataset] cur_step=5046 phase=C_full_covt +[Dataset] cur_step=5046 phase=C_full_covt +[Dataset] cur_step=5046 phase=C_full_covt +[Dataset] cur_step=5046 phase=C_full_covt[Dataset] cur_step=5046 phase=C_full_covt + +[Dataset] cur_step=5046 phase=C_full_covt 56%|████████████████▊ | 5046/9000 [3:19:17<4:43:30, 4.30s/it] + {'loss': '3.289', 'grad_norm': '2.987', 'learning_rate': '2.206e-05', 'epoch': '0.1815'} + 56%|████████████████▊ | 5046/9000 [3:19:17<4:43:30, 4.30s/it] {'lm_loss': '0.4691', 'visual_loss': '2.667', 'seg_loss': '0.6932', 'dino_loss': '0.9377', 'depth_loss': '0.2928', 'vggt_mse_loss': '0.2906', 'vggt_cos_loss': '0.02237', 'pidinet_loss': '0.1987', 'siglip_loss': '0.5444', 'epoch': '0.1815'} + 56%|████████████████▊ | 5046/9000 [3:19:20<4:43:30, 4.30s/it][Dataset] cur_step=5047 phase=C_full_covt +[Dataset] cur_step=5047 phase=C_full_covt +[Dataset] cur_step=5047 phase=C_full_covt +[Dataset] cur_step=5047 phase=C_full_covt +[Dataset] cur_step=5047 phase=C_full_covt +[Dataset] cur_step=5047 phase=C_full_covt +[Dataset] cur_step=5047 phase=C_full_covt +[Dataset] cur_step=5047 phase=C_full_covt + 56%|████████████████▊ | 5047/9000 [3:19:23<5:20:17, 4.86s/it] {'loss': '3.058', 'grad_norm': '7.987', 'learning_rate': '2.205e-05', 'epoch': '0.1816'} + 56%|████████████████▊ | 5047/9000 [3:19:23<5:20:17, 4.86s/it] {'lm_loss': '0.00739', 'visual_loss': '2.455', 'seg_loss': '0.6183', 'dino_loss': '0.8991', 'depth_loss': '0.2496', 'vggt_mse_loss': '0.2477', 'vggt_cos_loss': '0.01877', 'pidinet_loss': '0.2299', 'siglip_loss': '0.4585', 'epoch': '0.1816'} + 56%|████████████████▊ | 5047/9000 [3:19:26<5:20:17, 4.86s/it][Dataset] cur_step=5048 phase=C_full_covt +[Dataset] cur_step=5048 phase=C_full_covt[Dataset] cur_step=5048 phase=C_full_covt +[Dataset] cur_step=5048 phase=C_full_covt + +[Dataset] cur_step=5048 phase=C_full_covt +[Dataset] cur_step=5048 phase=C_full_covt +[Dataset] cur_step=5048 phase=C_full_covt +[Dataset] cur_step=5048 phase=C_full_covt + 56%|████████████████▊ | 5048/9000 [3:19:27<5:01:49, 4.58s/it] {'loss': '3.044', 'grad_norm': '2.031', 'learning_rate': '2.204e-05', 'epoch': '0.1816'} + 56%|████████████████▊ | 5048/9000 [3:19:27<5:01:49, 4.58s/it] {'lm_loss': '0.02237', 'visual_loss': '2.755', 'seg_loss': '0.7943', 'dino_loss': '0.9175', 'depth_loss': '0.2316', 'vggt_mse_loss': '0.2299', 'vggt_cos_loss': '0.01657', 'pidinet_loss': '0.2335', 'siglip_loss': '0.5784', 'epoch': '0.1816'} + 56%|████████████████▊ | 5048/9000 [3:19:30<5:01:49, 4.58s/it][Dataset] cur_step=5049 phase=C_full_covt +[Dataset] cur_step=5049 phase=C_full_covt[Dataset] cur_step=5049 phase=C_full_covt + +[Dataset] cur_step=5049 phase=C_full_covt +[Dataset] cur_step=5049 phase=C_full_covt[Dataset] cur_step=5049 phase=C_full_covt + +[Dataset] cur_step=5049 phase=C_full_covt +[Dataset] cur_step=5049 phase=C_full_covt + 56%|████████████████▊ | 5049/9000 [3:19:31<4:50:15, 4.41s/it] {'loss': '3.149', 'grad_norm': '2.08', 'learning_rate': '2.203e-05', 'epoch': '0.1816'} + 56%|████████████████▊ | 5049/9000 [3:19:31<4:50:15, 4.41s/it] {'lm_loss': '0.5615', 'visual_loss': '2.712', 'seg_loss': '0.7003', 'dino_loss': '0.921', 'depth_loss': '0.2302', 'vggt_mse_loss': '0.2287', 'vggt_cos_loss': '0.01521', 'pidinet_loss': '0.2578', 'siglip_loss': '0.6023', 'epoch': '0.1816'} + 56%|████████████████▊ | 5049/9000 [3:19:34<4:50:15, 4.41s/it][Dataset] cur_step=5050 phase=C_full_covt +[Dataset] cur_step=5050 phase=C_full_covt[Dataset] cur_step=5050 phase=C_full_covt + +[Dataset] cur_step=5050 phase=C_full_covt +[Dataset] cur_step=5050 phase=C_full_covt +[Dataset] cur_step=5050 phase=C_full_covt + 56%|████████████████▊ | 5050/9000 [3:19:37<5:22:21, 4.90s/it][Dataset] cur_step=5050 phase=C_full_covt +[Dataset] cur_step=5050 phase=C_full_covt + {'loss': '3.306', 'grad_norm': '5.759', 'learning_rate': '2.202e-05', 'epoch': '0.1817'} + 56%|████████████████▊ | 5050/9000 [3:19:37<5:22:21, 4.90s/it] {'lm_loss': '0.3445', 'visual_loss': '2.723', 'seg_loss': '0.7335', 'dino_loss': '0.9417', 'depth_loss': '0.216', 'vggt_mse_loss': '0.2145', 'vggt_cos_loss': '0.01494', 'pidinet_loss': '0.2728', 'siglip_loss': '0.559', 'epoch': '0.1817'} + 56%|████████████████▊ | 5050/9000 [3:19:41<5:22:21, 4.90s/it][Dataset] cur_step=5051 phase=C_full_covt +[Dataset] cur_step=5051 phase=C_full_covt +[Dataset] cur_step=5051 phase=C_full_covt +[Dataset] cur_step=5051 phase=C_full_covt +[Dataset] cur_step=5051 phase=C_full_covt +[Dataset] cur_step=5051 phase=C_full_covt +[Dataset] cur_step=5051 phase=C_full_covt + 56%|████████████████▊ | 5051/9000 [3:19:41<5:06:09, 4.65s/it][Dataset] cur_step=5051 phase=C_full_covt + {'loss': '3.099', 'grad_norm': '2.013', 'learning_rate': '2.201e-05', 'epoch': '0.1817'} + 56%|████████████████▊ | 5051/9000 [3:19:41<5:06:09, 4.65s/it] {'lm_loss': '0.262', 'visual_loss': '2.818', 'seg_loss': '0.754', 'dino_loss': '0.9056', 'depth_loss': '0.2902', 'vggt_mse_loss': '0.2881', 'vggt_cos_loss': '0.02042', 'pidinet_loss': '0.1581', 'siglip_loss': '0.7102', 'epoch': '0.1817'} + 56%|████████████████▊ | 5051/9000 [3:19:44<5:06:09, 4.65s/it][Dataset] cur_step=5052 phase=C_full_covt +[Dataset] cur_step=5052 phase=C_full_covt[Dataset] cur_step=5052 phase=C_full_covt + +[Dataset] cur_step=5052 phase=C_full_covt +[Dataset] cur_step=5052 phase=C_full_covt[Dataset] cur_step=5052 phase=C_full_covt +[Dataset] cur_step=5052 phase=C_full_covt + + 56%|████████████████▊ | 5052/9000 [3:19:46<4:59:15, 4.55s/it][Dataset] cur_step=5052 phase=C_full_covt + {'loss': '3.174', 'grad_norm': '2.283', 'learning_rate': '2.2e-05', 'epoch': '0.1817'} + 56%|████████████████▊ | 5052/9000 [3:19:46<4:59:15, 4.55s/it] {'lm_loss': '0.2583', 'visual_loss': '2.668', 'seg_loss': '0.6773', 'dino_loss': '0.9137', 'depth_loss': '0.2561', 'vggt_mse_loss': '0.2542', 'vggt_cos_loss': '0.01854', 'pidinet_loss': '0.2238', 'siglip_loss': '0.5966', 'epoch': '0.1817'} + 56%|████████████████▊ | 5052/9000 [3:19:49<4:59:15, 4.55s/it][Dataset] cur_step=5053 phase=C_full_covt +[Dataset] cur_step=5053 phase=C_full_covt +[Dataset] cur_step=5053 phase=C_full_covt[Dataset] cur_step=5053 phase=C_full_covt + +[Dataset] cur_step=5053 phase=C_full_covt + 56%|████████████████▊ | 5053/9000 [3:19:52<5:28:44, 5.00s/it][Dataset] cur_step=5053 phase=C_full_covt[Dataset] cur_step=5053 phase=C_full_covt + +[Dataset] cur_step=5053 phase=C_full_covt + {'loss': '3.159', 'grad_norm': '1.697', 'learning_rate': '2.199e-05', 'epoch': '0.1818'} + 56%|████████████████▊ | 5053/9000 [3:19:52<5:28:44, 5.00s/it] {'lm_loss': '0.5272', 'visual_loss': '2.734', 'seg_loss': '0.7423', 'dino_loss': '0.914', 'depth_loss': '0.237', 'vggt_mse_loss': '0.2356', 'vggt_cos_loss': '0.01382', 'pidinet_loss': '0.2881', 'siglip_loss': '0.5526', 'epoch': '0.1818'} + 56%|████████████████▊ | 5053/9000 [3:19:55<5:28:44, 5.00s/it][Dataset] cur_step=5054 phase=C_full_covt +[Dataset] cur_step=5054 phase=C_full_covt +[Dataset] cur_step=5054 phase=C_full_covt +[Dataset] cur_step=5054 phase=C_full_covt[Dataset] cur_step=5054 phase=C_full_covt + + 56%|████████████████▊ | 5054/9000 [3:19:55<5:07:18, 4.67s/it][Dataset] cur_step=5054 phase=C_full_covt[Dataset] cur_step=5054 phase=C_full_covt + +[Dataset] cur_step=5054 phase=C_full_covt + {'loss': '3.227', 'grad_norm': '2.363', 'learning_rate': '2.199e-05', 'epoch': '0.1818'} + 56%|████████████████▊ | 5054/9000 [3:19:55<5:07:18, 4.67s/it] {'lm_loss': '0.4665', 'visual_loss': '2.935', 'seg_loss': '0.7473', 'dino_loss': '0.9286', 'depth_loss': '0.2515', 'vggt_mse_loss': '0.2497', 'vggt_cos_loss': '0.01787', 'pidinet_loss': '0.2428', 'siglip_loss': '0.7643', 'epoch': '0.1818'} + 56%|████████████████▊ | 5054/9000 [3:19:59<5:07:18, 4.67s/it][Dataset] cur_step=5055 phase=C_full_covt +[Dataset] cur_step=5055 phase=C_full_covt +[Dataset] cur_step=5055 phase=C_full_covt[Dataset] cur_step=5055 phase=C_full_covt + +[Dataset] cur_step=5055 phase=C_full_covt + 56%|████████████████▊ | 5055/9000 [3:19:59<4:47:39, 4.38s/it][Dataset] cur_step=5055 phase=C_full_covt +[Dataset] cur_step=5055 phase=C_full_covt +[Dataset] cur_step=5055 phase=C_full_covt + {'loss': '3.26', 'grad_norm': '2.827', 'learning_rate': '2.198e-05', 'epoch': '0.1819'} + 56%|████████████████▊ | 5055/9000 [3:19:59<4:47:39, 4.38s/it] {'lm_loss': '0.008631', 'visual_loss': '2.907', 'seg_loss': '0.7304', 'dino_loss': '0.9162', 'depth_loss': '0.5709', 'vggt_mse_loss': '0.5661', 'vggt_cos_loss': '0.04779', 'pidinet_loss': '0.2364', 'siglip_loss': '0.4529', 'epoch': '0.1819'} + 56%|████████████████▊ | 5055/9000 [3:20:02<4:47:39, 4.38s/it][Dataset] cur_step=5056 phase=C_full_covt +[Dataset] cur_step=5056 phase=C_full_covt +[Dataset] cur_step=5056 phase=C_full_covt +[Dataset] cur_step=5056 phase=C_full_covt +[Dataset] cur_step=5056 phase=C_full_covt + 56%|████████████████▊ | 5056/9000 [3:20:06<5:27:19, 4.98s/it][Dataset] cur_step=5056 phase=C_full_covt +[Dataset] cur_step=5056 phase=C_full_covt +[Dataset] cur_step=5056 phase=C_full_covt + {'loss': '3.317', 'grad_norm': '2.228', 'learning_rate': '2.197e-05', 'epoch': '0.1819'} + 56%|████████████████▊ | 5056/9000 [3:20:06<5:27:19, 4.98s/it] {'lm_loss': '0.3789', 'visual_loss': '2.788', 'seg_loss': '0.7706', 'dino_loss': '0.944', 'depth_loss': '0.258', 'vggt_mse_loss': '0.2562', 'vggt_cos_loss': '0.01814', 'pidinet_loss': '0.2702', 'siglip_loss': '0.5453', 'epoch': '0.1819'} + 56%|████████████████▊ | 5056/9000 [3:20:09<5:27:19, 4.98s/it][Dataset] cur_step=5057 phase=C_full_covt +[Dataset] cur_step=5057 phase=C_full_covt[Dataset] cur_step=5057 phase=C_full_covt + +[Dataset] cur_step=5057 phase=C_full_covt +[Dataset] cur_step=5057 phase=C_full_covt +[Dataset] cur_step=5057 phase=C_full_covt[Dataset] cur_step=5057 phase=C_full_covt + + 56%|████████████████▊ | 5057/9000 [3:20:12<5:48:42, 5.31s/it][Dataset] cur_step=5057 phase=C_full_covt + {'loss': '3.228', 'grad_norm': '4.772', 'learning_rate': '2.196e-05', 'epoch': '0.1819'} + 56%|████████████████▊ | 5057/9000 [3:20:12<5:48:42, 5.31s/it] {'lm_loss': '0.2645', 'visual_loss': '2.911', 'seg_loss': '0.6869', 'dino_loss': '0.9187', 'depth_loss': '0.2656', 'vggt_mse_loss': '0.2638', 'vggt_cos_loss': '0.01807', 'pidinet_loss': '0.2719', 'siglip_loss': '0.7676', 'epoch': '0.1819'} + 56%|████████████████▊ | 5057/9000 [3:20:15<5:48:42, 5.31s/it][Dataset] cur_step=5058 phase=C_full_covt +[Dataset] cur_step=5058 phase=C_full_covt +[Dataset] cur_step=5058 phase=C_full_covt +[Dataset] cur_step=5058 phase=C_full_covt +[Dataset] cur_step=5058 phase=C_full_covt + 56%|████████████████▊ | 5058/9000 [3:20:16<5:28:41, 5.00s/it][Dataset] cur_step=5058 phase=C_full_covt +[Dataset] cur_step=5058 phase=C_full_covt +[Dataset] cur_step=5058 phase=C_full_covt + {'loss': '3.39', 'grad_norm': '2.108', 'learning_rate': '2.195e-05', 'epoch': '0.182'} + 56%|████████████████▊ | 5058/9000 [3:20:16<5:28:41, 5.00s/it] {'lm_loss': '0.002631', 'visual_loss': '2.645', 'seg_loss': '0.7359', 'dino_loss': '0.9079', 'depth_loss': '0.245', 'vggt_mse_loss': '0.2432', 'vggt_cos_loss': '0.01763', 'pidinet_loss': '0.2608', 'siglip_loss': '0.4954', 'epoch': '0.182'} + 56%|████████████████▊ | 5058/9000 [3:20:19<5:28:41, 5.00s/it][Dataset] cur_step=5059 phase=C_full_covt[Dataset] cur_step=5059 phase=C_full_covt[Dataset] cur_step=5059 phase=C_full_covt + + +[Dataset] cur_step=5059 phase=C_full_covt[Dataset] cur_step=5059 phase=C_full_covt + +[Dataset] cur_step=5059 phase=C_full_covt + 56%|████████████████▊ | 5059/9000 [3:20:20<5:06:31, 4.67s/it][Dataset] cur_step=5059 phase=C_full_covt +[Dataset] cur_step=5059 phase=C_full_covt + {'loss': '3.114', 'grad_norm': '2.809', 'learning_rate': '2.194e-05', 'epoch': '0.182'} + 56%|████████████████▊ | 5059/9000 [3:20:20<5:06:31, 4.67s/it] {'lm_loss': '0.00682', 'visual_loss': '2.546', 'seg_loss': '0.7623', 'dino_loss': '0.8982', 'depth_loss': '0.2901', 'vggt_mse_loss': '0.2888', 'vggt_cos_loss': '0.01357', 'pidinet_loss': '0.1924', 'siglip_loss': '0.4028', 'epoch': '0.182'} + 56%|████████████████▊ | 5059/9000 [3:20:23<5:06:31, 4.67s/it][Dataset] cur_step=5060 phase=C_full_covt +[Dataset] cur_step=5060 phase=C_full_covt +[Dataset] cur_step=5060 phase=C_full_covt +[Dataset] cur_step=5060 phase=C_full_covt +[Dataset] cur_step=5060 phase=C_full_covt[Dataset] cur_step=5060 phase=C_full_covt + + 56%|████████████████▊ | 5060/9000 [3:20:23<4:44:11, 4.33s/it][Dataset] cur_step=5060 phase=C_full_covt +[Dataset] cur_step=5060 phase=C_full_covt + {'loss': '3.144', 'grad_norm': '2.926', 'learning_rate': '2.193e-05', 'epoch': '0.182'} + 56%|████████████████▊ | 5060/9000 [3:20:23<4:44:11, 4.33s/it] {'lm_loss': '0.00725', 'visual_loss': '2.715', 'seg_loss': '0.7321', 'dino_loss': '0.9442', 'depth_loss': '0.2389', 'vggt_mse_loss': '0.2373', 'vggt_cos_loss': '0.01618', 'pidinet_loss': '0.2402', 'siglip_loss': '0.5596', 'epoch': '0.182'} + 56%|████████████████▊ | 5060/9000 [3:20:27<4:44:11, 4.33s/it][Dataset] cur_step=5061 phase=C_full_covt +[Dataset] cur_step=5061 phase=C_full_covt +[Dataset] cur_step=5061 phase=C_full_covt + 56%|████████████████▊ | 5061/9000 [3:20:27<4:35:34, 4.20s/it][Dataset] cur_step=5061 phase=C_full_covt +[Dataset] cur_step=5061 phase=C_full_covt +[Dataset] cur_step=5061 phase=C_full_covt +[Dataset] cur_step=5061 phase=C_full_covt +[Dataset] cur_step=5061 phase=C_full_covt + {'loss': '3.116', 'grad_norm': '5.871', 'learning_rate': '2.192e-05', 'epoch': '0.1821'} + 56%|████████████████▊ | 5061/9000 [3:20:27<4:35:34, 4.20s/it] {'lm_loss': '0.6921', 'visual_loss': '2.771', 'seg_loss': '0.7308', 'dino_loss': '0.9206', 'depth_loss': '0.3416', 'vggt_mse_loss': '0.339', 'vggt_cos_loss': '0.02537', 'pidinet_loss': '0.2303', 'siglip_loss': '0.548', 'epoch': '0.1821'} + 56%|████████████████▊ | 5061/9000 [3:20:31<4:35:34, 4.20s/it][Dataset] cur_step=5062 phase=C_full_covt +[Dataset] cur_step=5062 phase=C_full_covt[Dataset] cur_step=5062 phase=C_full_covt + +[Dataset] cur_step=5062 phase=C_full_covt +[Dataset] cur_step=5062 phase=C_full_covt + 56%|████████████████▊ | 5062/9000 [3:20:31<4:30:15, 4.12s/it][Dataset] cur_step=5062 phase=C_full_covt[Dataset] cur_step=5062 phase=C_full_covt + +[Dataset] cur_step=5062 phase=C_full_covt + {'loss': '3.077', 'grad_norm': '1.997', 'learning_rate': '2.191e-05', 'epoch': '0.1821'} + 56%|████████████████▊ | 5062/9000 [3:20:31<4:30:15, 4.12s/it] {'lm_loss': '0.01301', 'visual_loss': '2.526', 'seg_loss': '0.7456', 'dino_loss': '0.8943', 'depth_loss': '0.2638', 'vggt_mse_loss': '0.2621', 'vggt_cos_loss': '0.01679', 'pidinet_loss': '0.2063', 'siglip_loss': '0.4162', 'epoch': '0.1821'} + 56%|████████████████▊ | 5062/9000 [3:20:34<4:30:15, 4.12s/it][Dataset] cur_step=5063 phase=C_full_covt +[Dataset] cur_step=5063 phase=C_full_covt +[Dataset] cur_step=5063 phase=C_full_covt +[Dataset] cur_step=5063 phase=C_full_covt + 56%|████████████████▉ | 5063/9000 [3:20:35<4:26:00, 4.05s/it][Dataset] cur_step=5063 phase=C_full_covt +[Dataset] cur_step=5063 phase=C_full_covt +[Dataset] cur_step=5063 phase=C_full_covt +[Dataset] cur_step=5063 phase=C_full_covt + {'loss': '3.089', 'grad_norm': '2.521', 'learning_rate': '2.19e-05', 'epoch': '0.1821'} + 56%|████████████████▉ | 5063/9000 [3:20:35<4:26:00, 4.05s/it] {'lm_loss': '0.4171', 'visual_loss': '2.882', 'seg_loss': '0.714', 'dino_loss': '0.8963', 'depth_loss': '0.2503', 'vggt_mse_loss': '0.2483', 'vggt_cos_loss': '0.01984', 'pidinet_loss': '0.2533', 'siglip_loss': '0.7684', 'epoch': '0.1821'} + 56%|████████████████▉ | 5063/9000 [3:20:38<4:26:00, 4.05s/it][Dataset] cur_step=5064 phase=C_full_covt[Dataset] cur_step=5064 phase=C_full_covt + +[Dataset] cur_step=5064 phase=C_full_covt +[Dataset] cur_step=5064 phase=C_full_covt[Dataset] cur_step=5064 phase=C_full_covt +[Dataset] cur_step=5064 phase=C_full_covt + +[Dataset] cur_step=5064 phase=C_full_covt + 56%|████████████████▉ | 5064/9000 [3:20:39<4:18:36, 3.94s/it][Dataset] cur_step=5064 phase=C_full_covt + {'loss': '3.201', 'grad_norm': '2.168', 'learning_rate': '2.189e-05', 'epoch': '0.1822'} + 56%|████████████████▉ | 5064/9000 [3:20:39<4:18:36, 3.94s/it] {'lm_loss': '0.4181', 'visual_loss': '2.809', 'seg_loss': '0.7595', 'dino_loss': '0.8987', 'depth_loss': '0.2256', 'vggt_mse_loss': '0.224', 'vggt_cos_loss': '0.01608', 'pidinet_loss': '0.2807', 'siglip_loss': '0.6444', 'epoch': '0.1822'} + 56%|████████████████▉ | 5064/9000 [3:20:42<4:18:36, 3.94s/it][Dataset] cur_step=5065 phase=C_full_covt +[Dataset] cur_step=5065 phase=C_full_covt +[Dataset] cur_step=5065 phase=C_full_covt +[Dataset] cur_step=5065 phase=C_full_covt[Dataset] cur_step=5065 phase=C_full_covt + +[Dataset] cur_step=5065 phase=C_full_covt + 56%|████████████████▉ | 5065/9000 [3:20:43<4:30:01, 4.12s/it][Dataset] cur_step=5065 phase=C_full_covt[Dataset] cur_step=5065 phase=C_full_covt + + {'loss': '3.188', 'grad_norm': '1.795', 'learning_rate': '2.188e-05', 'epoch': '0.1822'} + 56%|████████████████▉ | 5065/9000 [3:20:43<4:30:01, 4.12s/it] {'lm_loss': '0.4725', 'visual_loss': '2.905', 'seg_loss': '0.7389', 'dino_loss': '0.9372', 'depth_loss': '0.3407', 'vggt_mse_loss': '0.3378', 'vggt_cos_loss': '0.02928', 'pidinet_loss': '0.2623', 'siglip_loss': '0.6256', 'epoch': '0.1822'} + 56%|████████████████▉ | 5065/9000 [3:20:46<4:30:01, 4.12s/it][Dataset] cur_step=5066 phase=C_full_covt +[Dataset] cur_step=5066 phase=C_full_covt +[Dataset] cur_step=5066 phase=C_full_covt[Dataset] cur_step=5066 phase=C_full_covt + +[Dataset] cur_step=5066 phase=C_full_covt[Dataset] cur_step=5066 phase=C_full_covt + +[Dataset] cur_step=5066 phase=C_full_covt[Dataset] cur_step=5066 phase=C_full_covt + + 56%|████████████████▉ | 5066/9000 [3:20:47<4:26:17, 4.06s/it] {'loss': '3.249', 'grad_norm': '7.344', 'learning_rate': '2.188e-05', 'epoch': '0.1822'} + 56%|████████████████▉ | 5066/9000 [3:20:47<4:26:17, 4.06s/it] {'lm_loss': '0.5367', 'visual_loss': '2.69', 'seg_loss': '0.7055', 'dino_loss': '0.8805', 'depth_loss': '0.262', 'vggt_mse_loss': '0.2603', 'vggt_cos_loss': '0.01735', 'pidinet_loss': '0.2494', 'siglip_loss': '0.5928', 'epoch': '0.1822'} + 56%|████████████████▉ | 5066/9000 [3:20:51<4:26:17, 4.06s/it][Dataset] cur_step=5067 phase=C_full_covt + 56%|████████████████▉ | 5067/9000 [3:20:51<4:29:14, 4.11s/it][Dataset] cur_step=5067 phase=C_full_covt +[Dataset] cur_step=5067 phase=C_full_covt[Dataset] cur_step=5067 phase=C_full_covt + +[Dataset] cur_step=5067 phase=C_full_covt +[Dataset] cur_step=5067 phase=C_full_covt +[Dataset] cur_step=5067 phase=C_full_covt +[Dataset] cur_step=5067 phase=C_full_covt + {'loss': '3.232', 'grad_norm': '5.743', 'learning_rate': '2.187e-05', 'epoch': '0.1823'} + 56%|████████████████▉ | 5067/9000 [3:20:51<4:29:14, 4.11s/it] {'lm_loss': '0.4187', 'visual_loss': '2.922', 'seg_loss': '0.8714', 'dino_loss': '0.9152', 'depth_loss': '0.2877', 'vggt_mse_loss': '0.2857', 'vggt_cos_loss': '0.02045', 'pidinet_loss': '0.2309', 'siglip_loss': '0.617', 'epoch': '0.1823'} + 56%|████████████████▉ | 5067/9000 [3:20:54<4:29:14, 4.11s/it][Dataset] cur_step=5068 phase=C_full_covt +[Dataset] cur_step=5068 phase=C_full_covt[Dataset] cur_step=5068 phase=C_full_covt + +[Dataset] cur_step=5068 phase=C_full_covt +[Dataset] cur_step=5068 phase=C_full_covt +[Dataset] cur_step=5068 phase=C_full_covt[Dataset] cur_step=5068 phase=C_full_covt + + 56%|████████████████▉ | 5068/9000 [3:20:56<4:29:23, 4.11s/it][Dataset] cur_step=5068 phase=C_full_covt + {'loss': '3.291', 'grad_norm': '4.931', 'learning_rate': '2.186e-05', 'epoch': '0.1823'} + 56%|████████████████▉ | 5068/9000 [3:20:56<4:29:23, 4.11s/it] {'lm_loss': '0.7804', 'visual_loss': '2.619', 'seg_loss': '0.7233', 'dino_loss': '0.9138', 'depth_loss': '0.357', 'vggt_mse_loss': '0.3549', 'vggt_cos_loss': '0.02036', 'pidinet_loss': '0.1917', 'siglip_loss': '0.4331', 'epoch': '0.1823'} + 56%|████████████████▉ | 5068/9000 [3:20:59<4:29:23, 4.11s/it][Dataset] cur_step=5069 phase=C_full_covt +[Dataset] cur_step=5069 phase=C_full_covt +[Dataset] cur_step=5069 phase=C_full_covt +[Dataset] cur_step=5069 phase=C_full_covt +[Dataset] cur_step=5069 phase=C_full_covt +[Dataset] cur_step=5069 phase=C_full_covt +[Dataset] cur_step=5069 phase=C_full_covt +[Dataset] cur_step=5069 phase=C_full_covt + 56%|████████████████▉ | 5069/9000 [3:21:00<4:29:58, 4.12s/it] {'loss': '3.043', 'grad_norm': '2.167', 'learning_rate': '2.185e-05', 'epoch': '0.1824'} + 56%|████████████████▉ | 5069/9000 [3:21:00<4:29:58, 4.12s/it] {'lm_loss': '0.8506', 'visual_loss': '2.754', 'seg_loss': '0.7312', 'dino_loss': '0.9271', 'depth_loss': '0.1851', 'vggt_mse_loss': '0.1838', 'vggt_cos_loss': '0.01328', 'pidinet_loss': '0.2279', 'siglip_loss': '0.6829', 'epoch': '0.1824'} + 56%|████████████████▉ | 5069/9000 [3:21:03<4:29:58, 4.12s/it][Dataset] cur_step=5070 phase=C_full_covt +[Dataset] cur_step=5070 phase=C_full_covt +[Dataset] cur_step=5070 phase=C_full_covt +[Dataset] cur_step=5070 phase=C_full_covt +[Dataset] cur_step=5070 phase=C_full_covt +[Dataset] cur_step=5070 phase=C_full_covt + 56%|████████████████▉ | 5070/9000 [3:21:04<4:31:01, 4.14s/it][Dataset] cur_step=5070 phase=C_full_covt +[Dataset] cur_step=5070 phase=C_full_covt + {'loss': '3.254', 'grad_norm': '3.938', 'learning_rate': '2.184e-05', 'epoch': '0.1824'} + 56%|████████████████▉ | 5070/9000 [3:21:04<4:31:01, 4.14s/it] {'lm_loss': '0.5553', 'visual_loss': '2.788', 'seg_loss': '0.7146', 'dino_loss': '0.9313', 'depth_loss': '0.3205', 'vggt_mse_loss': '0.3181', 'vggt_cos_loss': '0.02416', 'pidinet_loss': '0.2509', 'siglip_loss': '0.5709', 'epoch': '0.1824'} + 56%|████████████████▉ | 5070/9000 [3:21:07<4:31:01, 4.14s/it][Dataset] cur_step=5071 phase=C_full_covt +[Dataset] cur_step=5071 phase=C_full_covt +[Dataset] cur_step=5071 phase=C_full_covt +[Dataset] cur_step=5071 phase=C_full_covt +[Dataset] cur_step=5071 phase=C_full_covt[Dataset] cur_step=5071 phase=C_full_covt + +[Dataset] cur_step=5071 phase=C_full_covt[Dataset] cur_step=5071 phase=C_full_covt + + 56%|████████████████▉ | 5071/9000 [3:21:08<4:33:15, 4.17s/it] {'loss': '3.375', 'grad_norm': '2.705', 'learning_rate': '2.183e-05', 'epoch': '0.1824'} + 56%|████████████████▉ | 5071/9000 [3:21:08<4:33:15, 4.17s/it] {'lm_loss': '0.245', 'visual_loss': '3.274', 'seg_loss': '0.7113', 'dino_loss': '0.9093', 'depth_loss': '0.6863', 'vggt_mse_loss': '0.6809', 'vggt_cos_loss': '0.05413', 'pidinet_loss': '0.2711', 'siglip_loss': '0.6961', 'epoch': '0.1824'} + 56%|████████████████▉ | 5071/9000 [3:21:11<4:33:15, 4.17s/it][Dataset] cur_step=5072 phase=C_full_covt +[Dataset] cur_step=5072 phase=C_full_covt +[Dataset] cur_step=5072 phase=C_full_covt +[Dataset] cur_step=5072 phase=C_full_covt +[Dataset] cur_step=5072 phase=C_full_covt +[Dataset] cur_step=5072 phase=C_full_covt[Dataset] cur_step=5072 phase=C_full_covt + 56%|████████████████▉ | 5072/9000 [3:21:12<4:34:20, 4.19s/it] +[Dataset] cur_step=5072 phase=C_full_covt + {'loss': '3.245', 'grad_norm': '2.224', 'learning_rate': '2.182e-05', 'epoch': '0.1825'} + 56%|████████████████▉ | 5072/9000 [3:21:12<4:34:20, 4.19s/it] {'lm_loss': '0.008627', 'visual_loss': '3.034', 'seg_loss': '0.7186', 'dino_loss': '0.9365', 'depth_loss': '0.4141', 'vggt_mse_loss': '0.4117', 'vggt_cos_loss': '0.02387', 'pidinet_loss': '0.2542', 'siglip_loss': '0.7109', 'epoch': '0.1825'} + 56%|████████████████▉ | 5072/9000 [3:21:15<4:34:20, 4.19s/it][Dataset] cur_step=5073 phase=C_full_covt +[Dataset] cur_step=5073 phase=C_full_covt[Dataset] cur_step=5073 phase=C_full_covt + +[Dataset] cur_step=5073 phase=C_full_covt +[Dataset] cur_step=5073 phase=C_full_covt +[Dataset] cur_step=5073 phase=C_full_covt +[Dataset] cur_step=5073 phase=C_full_covt +[Dataset] cur_step=5073 phase=C_full_covt + 56%|████████████████▉ | 5073/9000 [3:21:16<4:26:51, 4.08s/it] {'loss': '3.233', 'grad_norm': '4.194', 'learning_rate': '2.181e-05', 'epoch': '0.1825'} + 56%|████████████████▉ | 5073/9000 [3:21:16<4:26:51, 4.08s/it]Token indices sequence length is longer than the specified maximum sequence length for this model (1178 > 1024). Running this sequence through the model will result in indexing errors + {'lm_loss': '1.08', 'visual_loss': '2.678', 'seg_loss': '0.662', 'dino_loss': '0.903', 'depth_loss': '0.233', 'vggt_mse_loss': '0.2314', 'vggt_cos_loss': '0.01543', 'pidinet_loss': '0.2464', 'siglip_loss': '0.6332', 'epoch': '0.1825'} + 56%|████████████████▉ | 5073/9000 [3:21:20<4:26:51, 4.08s/it][Dataset] cur_step=5074 phase=C_full_covt +[Dataset] cur_step=5074 phase=C_full_covt +[Dataset] cur_step=5074 phase=C_full_covt +[Dataset] cur_step=5074 phase=C_full_covt +[Dataset] cur_step=5074 phase=C_full_covt +[Dataset] cur_step=5074 phase=C_full_covt[Dataset] cur_step=5074 phase=C_full_covt + + 56%|████████████████▉ | 5074/9000 [3:21:20<4:29:56, 4.13s/it][Dataset] cur_step=5074 phase=C_full_covt + {'loss': '3.317', 'grad_norm': '1.832', 'learning_rate': '2.18e-05', 'epoch': '0.1825'} + 56%|████████████████▉ | 5074/9000 [3:21:20<4:29:56, 4.13s/it] {'lm_loss': '0.4499', 'visual_loss': '2.816', 'seg_loss': '0.7534', 'dino_loss': '0.9153', 'depth_loss': '0.253', 'vggt_mse_loss': '0.2513', 'vggt_cos_loss': '0.0178', 'pidinet_loss': '0.2316', 'siglip_loss': '0.6624', 'epoch': '0.1825'} + 56%|████████████████▉ | 5074/9000 [3:21:24<4:29:56, 4.13s/it][Dataset] cur_step=5075 phase=C_full_covt[Dataset] cur_step=5075 phase=C_full_covt + +[Dataset] cur_step=5075 phase=C_full_covt[Dataset] cur_step=5075 phase=C_full_covt + +[Dataset] cur_step=5075 phase=C_full_covt + 56%|████████████████▉ | 5075/9000 [3:21:24<4:27:29, 4.09s/it][Dataset] cur_step=5075 phase=C_full_covt +[Dataset] cur_step=5075 phase=C_full_covt +[Dataset] cur_step=5075 phase=C_full_covt + {'loss': '3.349', 'grad_norm': '2.186', 'learning_rate': '2.179e-05', 'epoch': '0.1826'} + 56%|████████████████▉ | 5075/9000 [3:21:24<4:27:29, 4.09s/it] {'lm_loss': '0.002408', 'visual_loss': '2.827', 'seg_loss': '0.7151', 'dino_loss': '0.9429', 'depth_loss': '0.285', 'vggt_mse_loss': '0.2832', 'vggt_cos_loss': '0.0175', 'pidinet_loss': '0.2521', 'siglip_loss': '0.6321', 'epoch': '0.1826'} + 56%|████████████████▉ | 5075/9000 [3:21:28<4:27:29, 4.09s/it][Dataset] cur_step=5076 phase=C_full_covt +[Dataset] cur_step=5076 phase=C_full_covt +[Dataset] cur_step=5076 phase=C_full_covt[Dataset] cur_step=5076 phase=C_full_covt + + 56%|████████████████▉ | 5076/9000 [3:21:29<4:28:47, 4.11s/it][Dataset] cur_step=5076 phase=C_full_covt +[Dataset] cur_step=5076 phase=C_full_covt +[Dataset] cur_step=5076 phase=C_full_covt +[Dataset] cur_step=5076 phase=C_full_covt + {'loss': '2.953', 'grad_norm': '2.291', 'learning_rate': '2.178e-05', 'epoch': '0.1826'} + 56%|████████████████▉ | 5076/9000 [3:21:29<4:28:47, 4.11s/it] {'lm_loss': '0.5052', 'visual_loss': '2.931', 'seg_loss': '0.7016', 'dino_loss': '0.9133', 'depth_loss': '0.4171', 'vggt_mse_loss': '0.4137', 'vggt_cos_loss': '0.03421', 'pidinet_loss': '0.2333', 'siglip_loss': '0.6655', 'epoch': '0.1826'} + 56%|████████████████▉ | 5076/9000 [3:21:32<4:28:47, 4.11s/it][Dataset] cur_step=5077 phase=C_full_covt +[Dataset] cur_step=5077 phase=C_full_covt +[Dataset] cur_step=5077 phase=C_full_covt +[Dataset] cur_step=5077 phase=C_full_covt[Dataset] cur_step=5077 phase=C_full_covt + +[Dataset] cur_step=5077 phase=C_full_covt[Dataset] cur_step=5077 phase=C_full_covt + +[Dataset] cur_step=5077 phase=C_full_covt + 56%|████████████████▉ | 5077/9000 [3:21:33<4:29:37, 4.12s/it] {'loss': '3.219', 'grad_norm': '2.323', 'learning_rate': '2.178e-05', 'epoch': '0.1826'} + 56%|████████████████▉ | 5077/9000 [3:21:33<4:29:37, 4.12s/it] {'lm_loss': '1.062', 'visual_loss': '2.953', 'seg_loss': '0.7895', 'dino_loss': '0.9153', 'depth_loss': '0.4586', 'vggt_mse_loss': '0.4556', 'vggt_cos_loss': '0.02966', 'pidinet_loss': '0.2763', 'siglip_loss': '0.513', 'epoch': '0.1826'} + 56%|████████████████▉ | 5077/9000 [3:21:36<4:29:37, 4.12s/it][Dataset] cur_step=5078 phase=C_full_covt[Dataset] cur_step=5078 phase=C_full_covt + + 56%|████████████████▉ | 5078/9000 [3:21:37<4:27:47, 4.10s/it][Dataset] cur_step=5078 phase=C_full_covt +[Dataset] cur_step=5078 phase=C_full_covt +[Dataset] cur_step=5078 phase=C_full_covt +[Dataset] cur_step=5078 phase=C_full_covt +[Dataset] cur_step=5078 phase=C_full_covt +[Dataset] cur_step=5078 phase=C_full_covt + {'loss': '3.09', 'grad_norm': '1.494', 'learning_rate': '2.177e-05', 'epoch': '0.1827'} + 56%|████████████████▉ | 5078/9000 [3:21:37<4:27:47, 4.10s/it] {'lm_loss': '0.001481', 'visual_loss': '2.55', 'seg_loss': '0.6865', 'dino_loss': '0.9113', 'depth_loss': '0.2042', 'vggt_mse_loss': '0.2029', 'vggt_cos_loss': '0.01219', 'pidinet_loss': '0.2034', 'siglip_loss': '0.5449', 'epoch': '0.1827'} + 56%|████████████████▉ | 5078/9000 [3:21:40<4:27:47, 4.10s/it][Dataset] cur_step=5079 phase=C_full_covt[Dataset] cur_step=5079 phase=C_full_covt + +[Dataset] cur_step=5079 phase=C_full_covt + 56%|████████████████▉ | 5079/9000 [3:21:40<4:20:24, 3.98s/it][Dataset] cur_step=5079 phase=C_full_covt[Dataset] cur_step=5079 phase=C_full_covt + +[Dataset] cur_step=5079 phase=C_full_covt +[Dataset] cur_step=5079 phase=C_full_covt +[Dataset] cur_step=5079 phase=C_full_covt + {'loss': '3.147', 'grad_norm': '5.915', 'learning_rate': '2.176e-05', 'epoch': '0.1827'} + 56%|████████████████▉ | 5079/9000 [3:21:40<4:20:24, 3.98s/it] {'lm_loss': '0.5897', 'visual_loss': '2.75', 'seg_loss': '0.8095', 'dino_loss': '0.9289', 'depth_loss': '0.2325', 'vggt_mse_loss': '0.231', 'vggt_cos_loss': '0.01528', 'pidinet_loss': '0.2823', 'siglip_loss': '0.4966', 'epoch': '0.1827'} + 56%|████████████████▉ | 5079/9000 [3:21:44<4:20:24, 3.98s/it][Dataset] cur_step=5080 phase=C_full_covt[Dataset] cur_step=5080 phase=C_full_covt + +[Dataset] cur_step=5080 phase=C_full_covt[Dataset] cur_step=5080 phase=C_full_covt + +[Dataset] cur_step=5080 phase=C_full_covt +[Dataset] cur_step=5080 phase=C_full_covt[Dataset] cur_step=5080 phase=C_full_covt + + 56%|████████████████▉ | 5080/9000 [3:21:45<4:21:52, 4.01s/it][Dataset] cur_step=5080 phase=C_full_covt + {'loss': '3.077', 'grad_norm': '3.228', 'learning_rate': '2.175e-05', 'epoch': '0.1828'} + 56%|████████████████▉ | 5080/9000 [3:21:45<4:21:52, 4.01s/it] {'lm_loss': '0.3502', 'visual_loss': '2.968', 'seg_loss': '0.7607', 'dino_loss': '0.9213', 'depth_loss': '0.5249', 'vggt_mse_loss': '0.5209', 'vggt_cos_loss': '0.04022', 'pidinet_loss': '0.2375', 'siglip_loss': '0.5241', 'epoch': '0.1828'} + 56%|████████████████▉ | 5080/9000 [3:21:48<4:21:52, 4.01s/it][Dataset] cur_step=5081 phase=C_full_covt +[Dataset] cur_step=5081 phase=C_full_covt +[Dataset] cur_step=5081 phase=C_full_covt[Dataset] cur_step=5081 phase=C_full_covt[Dataset] cur_step=5081 phase=C_full_covt + + +[Dataset] cur_step=5081 phase=C_full_covt + 56%|████████████████▉ | 5081/9000 [3:21:49<4:23:46, 4.04s/it][Dataset] cur_step=5081 phase=C_full_covt +[Dataset] cur_step=5081 phase=C_full_covt + {'loss': '3.167', 'grad_norm': '13.13', 'learning_rate': '2.174e-05', 'epoch': '0.1828'} + 56%|████████████████▉ | 5081/9000 [3:21:49<4:23:46, 4.04s/it] {'lm_loss': '0.004627', 'visual_loss': '2.617', 'seg_loss': '0.7395', 'dino_loss': '0.9017', 'depth_loss': '0.2281', 'vggt_mse_loss': '0.2265', 'vggt_cos_loss': '0.01685', 'pidinet_loss': '0.2107', 'siglip_loss': '0.537', 'epoch': '0.1828'} + 56%|████████████████▉ | 5081/9000 [3:21:52<4:23:46, 4.04s/it][Dataset] cur_step=5082 phase=C_full_covt +[Dataset] cur_step=5082 phase=C_full_covt +[Dataset] cur_step=5082 phase=C_full_covt +[Dataset] cur_step=5082 phase=C_full_covt +[Dataset] cur_step=5082 phase=C_full_covt[Dataset] cur_step=5082 phase=C_full_covt + +[Dataset] cur_step=5082 phase=C_full_covt +[Dataset] cur_step=5082 phase=C_full_covt + 56%|████████████████▉ | 5082/9000 [3:21:53<4:25:03, 4.06s/it] {'loss': '3.012', 'grad_norm': '2.882', 'learning_rate': '2.173e-05', 'epoch': '0.1828'} + 56%|████████████████▉ | 5082/9000 [3:21:53<4:25:03, 4.06s/it] {'lm_loss': '0.7772', 'visual_loss': '2.913', 'seg_loss': '0.7238', 'dino_loss': '0.9308', 'depth_loss': '0.4124', 'vggt_mse_loss': '0.4086', 'vggt_cos_loss': '0.03791', 'pidinet_loss': '0.2476', 'siglip_loss': '0.598', 'epoch': '0.1828'} + 56%|████████████████▉ | 5082/9000 [3:21:57<4:25:03, 4.06s/it][Dataset] cur_step=5083 phase=C_full_covt +[Dataset] cur_step=5083 phase=C_full_covt[Dataset] cur_step=5083 phase=C_full_covt[Dataset] cur_step=5083 phase=C_full_covt + + + 56%|████████████████▉ | 5083/9000 [3:21:57<4:31:48, 4.16s/it][Dataset] cur_step=5083 phase=C_full_covt +[Dataset] cur_step=5083 phase=C_full_covt +[Dataset] cur_step=5083 phase=C_full_covt +[Dataset] cur_step=5083 phase=C_full_covt + {'loss': '3.401', 'grad_norm': '10.52', 'learning_rate': '2.172e-05', 'epoch': '0.1829'} + 56%|████████████████▉ | 5083/9000 [3:21:57<4:31:48, 4.16s/it] {'lm_loss': '0.3964', 'visual_loss': '2.797', 'seg_loss': '0.691', 'dino_loss': '0.8986', 'depth_loss': '0.284', 'vggt_mse_loss': '0.2817', 'vggt_cos_loss': '0.02309', 'pidinet_loss': '0.2604', 'siglip_loss': '0.6627', 'epoch': '0.1829'} + 56%|████████████████▉ | 5083/9000 [3:22:00<4:31:48, 4.16s/it][Dataset] cur_step=5084 phase=C_full_covt +[Dataset] cur_step=5084 phase=C_full_covt +[Dataset] cur_step=5084 phase=C_full_covt +[Dataset] cur_step=5084 phase=C_full_covt +[Dataset] cur_step=5084 phase=C_full_covt +[Dataset] cur_step=5084 phase=C_full_covt +[Dataset] cur_step=5084 phase=C_full_covt +[Dataset] cur_step=5084 phase=C_full_covt + 56%|████████████████▉ | 5084/9000 [3:22:01<4:33:19, 4.19s/it] {'loss': '3.097', 'grad_norm': '8.89', 'learning_rate': '2.171e-05', 'epoch': '0.1829'} + 56%|████████████████▉ | 5084/9000 [3:22:01<4:33:19, 4.19s/it] {'lm_loss': '0.009729', 'visual_loss': '2.706', 'seg_loss': '0.6927', 'dino_loss': '0.9089', 'depth_loss': '0.2133', 'vggt_mse_loss': '0.2117', 'vggt_cos_loss': '0.01625', 'pidinet_loss': '0.2633', 'siglip_loss': '0.6275', 'epoch': '0.1829'} + 56%|████████████████▉ | 5084/9000 [3:22:05<4:33:19, 4.19s/it][Dataset] cur_step=5085 phase=C_full_covt[Dataset] cur_step=5085 phase=C_full_covt + + 56%|████████████████▉ | 5085/9000 [3:22:05<4:29:15, 4.13s/it][Dataset] cur_step=5085 phase=C_full_covt +[Dataset] cur_step=5085 phase=C_full_covt[Dataset] cur_step=5085 phase=C_full_covt + +[Dataset] cur_step=5085 phase=C_full_covt[Dataset] cur_step=5085 phase=C_full_covt + +[Dataset] cur_step=5085 phase=C_full_covt + {'loss': '3.052', 'grad_norm': '2.222', 'learning_rate': '2.17e-05', 'epoch': '0.1829'} + 56%|████████████████▉ | 5085/9000 [3:22:05<4:29:15, 4.13s/it] {'lm_loss': '0.7317', 'visual_loss': '2.831', 'seg_loss': '0.8833', 'dino_loss': '0.8719', 'depth_loss': '0.1909', 'vggt_mse_loss': '0.1899', 'vggt_cos_loss': '0.01042', 'pidinet_loss': '0.286', 'siglip_loss': '0.5985', 'epoch': '0.1829'} + 56%|████████████████▉ | 5085/9000 [3:22:09<4:29:15, 4.13s/it][Dataset] cur_step=5086 phase=C_full_covt +[Dataset] cur_step=5086 phase=C_full_covt[Dataset] cur_step=5086 phase=C_full_covt + +[Dataset] cur_step=5086 phase=C_full_covt[Dataset] cur_step=5086 phase=C_full_covt + +[Dataset] cur_step=5086 phase=C_full_covt 57%|████████████████▉ | 5086/9000 [3:22:10<4:30:26, 4.15s/it][Dataset] cur_step=5086 phase=C_full_covt + +[Dataset] cur_step=5086 phase=C_full_covt + {'loss': '3.197', 'grad_norm': '2.366', 'learning_rate': '2.169e-05', 'epoch': '0.183'} + 57%|████████████████▉ | 5086/9000 [3:22:10<4:30:26, 4.15s/it] {'lm_loss': '0.4142', 'visual_loss': '2.549', 'seg_loss': '0.707', 'dino_loss': '0.9304', 'depth_loss': '0.2686', 'vggt_mse_loss': '0.2669', 'vggt_cos_loss': '0.01736', 'pidinet_loss': '0.218', 'siglip_loss': '0.4252', 'epoch': '0.183'} + 57%|████████████████▉ | 5086/9000 [3:22:13<4:30:26, 4.15s/it][Dataset] cur_step=5087 phase=C_full_covt +[Dataset] cur_step=5087 phase=C_full_covt +[Dataset] cur_step=5087 phase=C_full_covt +[Dataset] cur_step=5087 phase=C_full_covt +[Dataset] cur_step=5087 phase=C_full_covt[Dataset] cur_step=5087 phase=C_full_covt + + 57%|████████████████▉ | 5087/9000 [3:22:14<4:27:59, 4.11s/it][Dataset] cur_step=5087 phase=C_full_covt +[Dataset] cur_step=5087 phase=C_full_covt + {'loss': '3.012', 'grad_norm': '2.571', 'learning_rate': '2.168e-05', 'epoch': '0.183'} + 57%|████████████████▉ | 5087/9000 [3:22:14<4:27:59, 4.11s/it] {'lm_loss': '0.3929', 'visual_loss': '2.981', 'seg_loss': '0.5688', 'dino_loss': '0.9129', 'depth_loss': '0.2672', 'vggt_mse_loss': '0.2655', 'vggt_cos_loss': '0.01757', 'pidinet_loss': '0.2352', 'siglip_loss': '0.997', 'epoch': '0.183'} + 57%|████████████████▉ | 5087/9000 [3:22:17<4:27:59, 4.11s/it][Dataset] cur_step=5088 phase=C_full_covt +[Dataset] cur_step=5088 phase=C_full_covt +[Dataset] cur_step=5088 phase=C_full_covt +[Dataset] cur_step=5088 phase=C_full_covt[Dataset] cur_step=5088 phase=C_full_covt + +[Dataset] cur_step=5088 phase=C_full_covt[Dataset] cur_step=5088 phase=C_full_covt + +[Dataset] cur_step=5088 phase=C_full_covt + 57%|████████████████▉ | 5088/9000 [3:22:18<4:28:53, 4.12s/it] {'loss': '2.999', 'grad_norm': '6.391', 'learning_rate': '2.168e-05', 'epoch': '0.183'} + 57%|████████████████▉ | 5088/9000 [3:22:18<4:28:53, 4.12s/it] {'lm_loss': '0.5077', 'visual_loss': '2.848', 'seg_loss': '0.8132', 'dino_loss': '0.92', 'depth_loss': '0.2398', 'vggt_mse_loss': '0.238', 'vggt_cos_loss': '0.01762', 'pidinet_loss': '0.2262', 'siglip_loss': '0.6488', 'epoch': '0.183'} + 57%|████████████████▉ | 5088/9000 [3:22:21<4:28:53, 4.12s/it][Dataset] cur_step=5089 phase=C_full_covt[Dataset] cur_step=5089 phase=C_full_covt + +[Dataset] cur_step=5089 phase=C_full_covt +[Dataset] cur_step=5089 phase=C_full_covt +[Dataset] cur_step=5089 phase=C_full_covt +[Dataset] cur_step=5089 phase=C_full_covt +[Dataset] cur_step=5089 phase=C_full_covt +[Dataset] cur_step=5089 phase=C_full_covt + 57%|████████████████▉ | 5089/9000 [3:22:22<4:34:14, 4.21s/it] {'loss': '3.211', 'grad_norm': '1.486', 'learning_rate': '2.167e-05', 'epoch': '0.1831'} + 57%|████████████████▉ | 5089/9000 [3:22:22<4:34:14, 4.21s/it] {'lm_loss': '0.3328', 'visual_loss': '2.737', 'seg_loss': '0.6927', 'dino_loss': '0.8934', 'depth_loss': '0.2581', 'vggt_mse_loss': '0.2562', 'vggt_cos_loss': '0.0193', 'pidinet_loss': '0.2083', 'siglip_loss': '0.684', 'epoch': '0.1831'} + 57%|████████████████▉ | 5089/9000 [3:22:25<4:34:14, 4.21s/it][Dataset] cur_step=5090 phase=C_full_covt[Dataset] cur_step=5090 phase=C_full_covt + +[Dataset] cur_step=5090 phase=C_full_covt +[Dataset] cur_step=5090 phase=C_full_covt + 57%|████████████████▉ | 5090/9000 [3:22:26<4:22:44, 4.03s/it][Dataset] cur_step=5090 phase=C_full_covt +[Dataset] cur_step=5090 phase=C_full_covt[Dataset] cur_step=5090 phase=C_full_covt + +[Dataset] cur_step=5090 phase=C_full_covt + {'loss': '3.326', 'grad_norm': '2.02', 'learning_rate': '2.166e-05', 'epoch': '0.1831'} + 57%|████████████████▉ | 5090/9000 [3:22:26<4:22:44, 4.03s/it] {'lm_loss': '0.8373', 'visual_loss': '2.783', 'seg_loss': '0.7435', 'dino_loss': '0.921', 'depth_loss': '0.2724', 'vggt_mse_loss': '0.2708', 'vggt_cos_loss': '0.01599', 'pidinet_loss': '0.231', 'siglip_loss': '0.6149', 'epoch': '0.1831'} + 57%|████████████████▉ | 5090/9000 [3:22:29<4:22:44, 4.03s/it][Dataset] cur_step=5091 phase=C_full_covt +[Dataset] cur_step=5091 phase=C_full_covt[Dataset] cur_step=5091 phase=C_full_covt + +[Dataset] cur_step=5091 phase=C_full_covt[Dataset] cur_step=5091 phase=C_full_covt + +[Dataset] cur_step=5091 phase=C_full_covt +[Dataset] cur_step=5091 phase=C_full_covt + 57%|████████████████▉ | 5091/9000 [3:22:30<4:22:09, 4.02s/it][Dataset] cur_step=5091 phase=C_full_covt + {'loss': '3.089', 'grad_norm': '1.773', 'learning_rate': '2.165e-05', 'epoch': '0.1831'} + 57%|████████████████▉ | 5091/9000 [3:22:30<4:22:09, 4.02s/it] {'lm_loss': '0.2465', 'visual_loss': '2.702', 'seg_loss': '0.8153', 'dino_loss': '0.908', 'depth_loss': '0.2439', 'vggt_mse_loss': '0.2421', 'vggt_cos_loss': '0.01734', 'pidinet_loss': '0.2119', 'siglip_loss': '0.5228', 'epoch': '0.1831'} + 57%|████████████████▉ | 5091/9000 [3:22:33<4:22:09, 4.02s/it][Dataset] cur_step=5092 phase=C_full_covt[Dataset] cur_step=5092 phase=C_full_covt + +[Dataset] cur_step=5092 phase=C_full_covt[Dataset] cur_step=5092 phase=C_full_covt +[Dataset] cur_step=5092 phase=C_full_covt +[Dataset] cur_step=5092 phase=C_full_covt +[Dataset] cur_step=5092 phase=C_full_covt + + 57%|████████████████▉ | 5092/9000 [3:22:34<4:19:45, 3.99s/it][Dataset] cur_step=5092 phase=C_full_covt + {'loss': '3.103', 'grad_norm': '1.923', 'learning_rate': '2.164e-05', 'epoch': '0.1832'} + 57%|████████████████▉ | 5092/9000 [3:22:34<4:19:45, 3.99s/it] {'lm_loss': '0.4548', 'visual_loss': '2.779', 'seg_loss': '0.7678', 'dino_loss': '0.9347', 'depth_loss': '0.2078', 'vggt_mse_loss': '0.2063', 'vggt_cos_loss': '0.0144', 'pidinet_loss': '0.2158', 'siglip_loss': '0.6528', 'epoch': '0.1832'} + 57%|████████████████▉ | 5092/9000 [3:22:37<4:19:45, 3.99s/it][Dataset] cur_step=5093 phase=C_full_covt[Dataset] cur_step=5093 phase=C_full_covt + +[Dataset] cur_step=5093 phase=C_full_covt +[Dataset] cur_step=5093 phase=C_full_covt[Dataset] cur_step=5093 phase=C_full_covt + +[Dataset] cur_step=5093 phase=C_full_covt + 57%|████████████████▉ | 5093/9000 [3:22:38<4:21:08, 4.01s/it][Dataset] cur_step=5093 phase=C_full_covt +[Dataset] cur_step=5093 phase=C_full_covt + {'loss': '3.154', 'grad_norm': '1.705', 'learning_rate': '2.163e-05', 'epoch': '0.1832'} + 57%|████████████████▉ | 5093/9000 [3:22:38<4:21:08, 4.01s/it] {'lm_loss': '0.007448', 'visual_loss': '2.611', 'seg_loss': '0.7439', 'dino_loss': '0.9134', 'depth_loss': '0.2396', 'vggt_mse_loss': '0.238', 'vggt_cos_loss': '0.01592', 'pidinet_loss': '0.2533', 'siglip_loss': '0.4611', 'epoch': '0.1832'} + 57%|████████████████▉ | 5093/9000 [3:22:41<4:21:08, 4.01s/it][Dataset] cur_step=5094 phase=C_full_covt[Dataset] cur_step=5094 phase=C_full_covt + +[Dataset] cur_step=5094 phase=C_full_covt +[Dataset] cur_step=5094 phase=C_full_covt +[Dataset] cur_step=5094 phase=C_full_covt +[Dataset] cur_step=5094 phase=C_full_covt +[Dataset] cur_step=5094 phase=C_full_covt +[Dataset] cur_step=5094 phase=C_full_covt + 57%|████████████████▉ | 5094/9000 [3:22:42<4:20:05, 4.00s/it] {'loss': '3.088', 'grad_norm': '1.42', 'learning_rate': '2.162e-05', 'epoch': '0.1833'} + 57%|████████████████▉ | 5094/9000 [3:22:42<4:20:05, 4.00s/it] {'lm_loss': '0.7844', 'visual_loss': '2.842', 'seg_loss': '0.7592', 'dino_loss': '0.9422', 'depth_loss': '0.2231', 'vggt_mse_loss': '0.2215', 'vggt_cos_loss': '0.01635', 'pidinet_loss': '0.2337', 'siglip_loss': '0.6835', 'epoch': '0.1833'} + 57%|████████████████▉ | 5094/9000 [3:22:45<4:20:05, 4.00s/it][Dataset] cur_step=5095 phase=C_full_covt +[Dataset] cur_step=5095 phase=C_full_covt +[Dataset] cur_step=5095 phase=C_full_covt[Dataset] cur_step=5095 phase=C_full_covt + +[Dataset] cur_step=5095 phase=C_full_covt +[Dataset] cur_step=5095 phase=C_full_covt[Dataset] cur_step=5095 phase=C_full_covt + + 57%|████████████████▉ | 5095/9000 [3:22:46<4:17:25, 3.96s/it][Dataset] cur_step=5095 phase=C_full_covt + {'loss': '3.066', 'grad_norm': '1.749', 'learning_rate': '2.161e-05', 'epoch': '0.1833'} + 57%|████████████████▉ | 5095/9000 [3:22:46<4:17:25, 3.96s/it] {'lm_loss': '0.7629', 'visual_loss': '2.897', 'seg_loss': '0.7937', 'dino_loss': '0.9097', 'depth_loss': '0.2776', 'vggt_mse_loss': '0.2755', 'vggt_cos_loss': '0.02092', 'pidinet_loss': '0.2447', 'siglip_loss': '0.6711', 'epoch': '0.1833'} + 57%|████████████████▉ | 5095/9000 [3:22:48<4:17:25, 3.96s/it][Dataset] cur_step=5096 phase=C_full_covt +[Dataset] cur_step=5096 phase=C_full_covt +[Dataset] cur_step=5096 phase=C_full_covt +[Dataset] cur_step=5096 phase=C_full_covt +[Dataset] cur_step=5096 phase=C_full_covt[Dataset] cur_step=5096 phase=C_full_covt + +[Dataset] cur_step=5096 phase=C_full_covt + 57%|████████████████▉ | 5096/9000 [3:22:50<4:18:11, 3.97s/it][Dataset] cur_step=5096 phase=C_full_covt + {'loss': '3.35', 'grad_norm': '3.007', 'learning_rate': '2.16e-05', 'epoch': '0.1833'} + 57%|████████████████▉ | 5096/9000 [3:22:50<4:18:11, 3.97s/it] {'lm_loss': '0.1395', 'visual_loss': '2.533', 'seg_loss': '0.6832', 'dino_loss': '0.9268', 'depth_loss': '0.1902', 'vggt_mse_loss': '0.1887', 'vggt_cos_loss': '0.01429', 'pidinet_loss': '0.1582', 'siglip_loss': '0.5743', 'epoch': '0.1833'} + 57%|████████████████▉ | 5096/9000 [3:22:53<4:18:11, 3.97s/it][Dataset] cur_step=5097 phase=C_full_covt +[Dataset] cur_step=5097 phase=C_full_covt[Dataset] cur_step=5097 phase=C_full_covt +[Dataset] cur_step=5097 phase=C_full_covt + +[Dataset] cur_step=5097 phase=C_full_covt + 57%|████████████████▉ | 5097/9000 [3:22:54<4:23:49, 4.06s/it][Dataset] cur_step=5097 phase=C_full_covt +[Dataset] cur_step=5097 phase=C_full_covt +[Dataset] cur_step=5097 phase=C_full_covt + {'loss': '3.164', 'grad_norm': '2.056', 'learning_rate': '2.159e-05', 'epoch': '0.1834'} + 57%|████████████████▉ | 5097/9000 [3:22:54<4:23:49, 4.06s/it] {'lm_loss': '0.1698', 'visual_loss': '2.728', 'seg_loss': '0.7192', 'dino_loss': '0.8802', 'depth_loss': '0.2303', 'vggt_mse_loss': '0.2289', 'vggt_cos_loss': '0.01433', 'pidinet_loss': '0.2711', 'siglip_loss': '0.6272', 'epoch': '0.1834'} + 57%|████████████████▉ | 5097/9000 [3:22:57<4:23:49, 4.06s/it][Dataset] cur_step=5098 phase=C_full_covt +[Dataset] cur_step=5098 phase=C_full_covt +[Dataset] cur_step=5098 phase=C_full_covt + 57%|████████████████▉ | 5098/9000 [3:22:58<4:21:53, 4.03s/it][Dataset] cur_step=5098 phase=C_full_covt +[Dataset] cur_step=5098 phase=C_full_covt[Dataset] cur_step=5098 phase=C_full_covt + +[Dataset] cur_step=5098 phase=C_full_covt[Dataset] cur_step=5098 phase=C_full_covt + + {'loss': '2.98', 'grad_norm': '2.616', 'learning_rate': '2.158e-05', 'epoch': '0.1834'} + 57%|████████████████▉ | 5098/9000 [3:22:58<4:21:53, 4.03s/it] {'lm_loss': '0.4566', 'visual_loss': '2.886', 'seg_loss': '0.6351', 'dino_loss': '0.899', 'depth_loss': '0.2931', 'vggt_mse_loss': '0.2912', 'vggt_cos_loss': '0.01953', 'pidinet_loss': '0.2485', 'siglip_loss': '0.8104', 'epoch': '0.1834'} + 57%|████████████████▉ | 5098/9000 [3:23:01<4:21:53, 4.03s/it][Dataset] cur_step=5099 phase=C_full_covt +[Dataset] cur_step=5099 phase=C_full_covt +[Dataset] cur_step=5099 phase=C_full_covt +[Dataset] cur_step=5099 phase=C_full_covt +[Dataset] cur_step=5099 phase=C_full_covt[Dataset] cur_step=5099 phase=C_full_covt + +[Dataset] cur_step=5099 phase=C_full_covt + 57%|████████████████▉ | 5099/9000 [3:23:02<4:32:19, 4.19s/it][Dataset] cur_step=5099 phase=C_full_covt + {'loss': '3.259', 'grad_norm': '1.932', 'learning_rate': '2.158e-05', 'epoch': '0.1834'} + 57%|████████████████▉ | 5099/9000 [3:23:02<4:32:19, 4.19s/it] {'lm_loss': '0.397', 'visual_loss': '2.771', 'seg_loss': '0.7974', 'dino_loss': '0.9146', 'depth_loss': '0.2786', 'vggt_mse_loss': '0.2764', 'vggt_cos_loss': '0.02155', 'pidinet_loss': '0.2328', 'siglip_loss': '0.548', 'epoch': '0.1834'} + 57%|████████████████▉ | 5099/9000 [3:23:06<4:32:19, 4.19s/it][Dataset] cur_step=5100 phase=C_full_covt +[Dataset] cur_step=5100 phase=C_full_covt +[Dataset] cur_step=5100 phase=C_full_covt 57%|█████████████████ | 5100/9000 [3:23:06<4:27:08, 4.11s/it] +[Dataset] cur_step=5100 phase=C_full_covt[Dataset] cur_step=5100 phase=C_full_covt + +[Dataset] cur_step=5100 phase=C_full_covt[Dataset] cur_step=5100 phase=C_full_covt + +[Dataset] cur_step=5100 phase=C_full_covt + {'loss': '3.253', 'grad_norm': '2.858', 'learning_rate': '2.157e-05', 'epoch': '0.1835'} + 57%|█████████████████ | 5100/9000 [3:23:06<4:27:08, 4.11s/it] {'lm_loss': '0.5946', 'visual_loss': '2.564', 'seg_loss': '0.6984', 'dino_loss': '0.9141', 'depth_loss': '0.1579', 'vggt_mse_loss': '0.1568', 'vggt_cos_loss': '0.01048', 'pidinet_loss': '0.2409', 'siglip_loss': '0.5523', 'epoch': '0.1835'} + 57%|█████████████████ | 5100/9000 [3:23:09<4:27:08, 4.11s/it][Dataset] cur_step=5101 phase=C_full_covt +[Dataset] cur_step=5101 phase=C_full_covt +[Dataset] cur_step=5101 phase=C_full_covt +[Dataset] cur_step=5101 phase=C_full_covt[Dataset] cur_step=5101 phase=C_full_covt + + 57%|█████████████████ | 5101/9000 [3:23:10<4:24:52, 4.08s/it][Dataset] cur_step=5101 phase=C_full_covt +[Dataset] cur_step=5101 phase=C_full_covt +[Dataset] cur_step=5101 phase=C_full_covt + {'loss': '3.104', 'grad_norm': '1.441', 'learning_rate': '2.156e-05', 'epoch': '0.1835'} + 57%|█████████████████ | 5101/9000 [3:23:10<4:24:52, 4.08s/it] {'lm_loss': '0.2714', 'visual_loss': '2.825', 'seg_loss': '0.6495', 'dino_loss': '0.9179', 'depth_loss': '0.2469', 'vggt_mse_loss': '0.2453', 'vggt_cos_loss': '0.01513', 'pidinet_loss': '0.2403', 'siglip_loss': '0.7706', 'epoch': '0.1835'} + 57%|█████████████████ | 5101/9000 [3:23:13<4:24:52, 4.08s/it][Dataset] cur_step=5102 phase=C_full_covt +[Dataset] cur_step=5102 phase=C_full_covt[Dataset] cur_step=5102 phase=C_full_covt + +[Dataset] cur_step=5102 phase=C_full_covt +[Dataset] cur_step=5102 phase=C_full_covt +[Dataset] cur_step=5102 phase=C_full_covt + 57%|█████████████████ | 5102/9000 [3:23:14<4:27:20, 4.12s/it][Dataset] cur_step=5102 phase=C_full_covt +[Dataset] cur_step=5102 phase=C_full_covt + {'loss': '3.031', 'grad_norm': '1.853', 'learning_rate': '2.155e-05', 'epoch': '0.1835'} + 57%|█████████████████ | 5102/9000 [3:23:14<4:27:20, 4.12s/it] {'lm_loss': '1.156', 'visual_loss': '2.741', 'seg_loss': '0.7803', 'dino_loss': '0.9177', 'depth_loss': '0.2284', 'vggt_mse_loss': '0.2267', 'vggt_cos_loss': '0.01726', 'pidinet_loss': '0.2343', 'siglip_loss': '0.5798', 'epoch': '0.1835'} + 57%|█████████████████ | 5102/9000 [3:23:18<4:27:20, 4.12s/it][Dataset] cur_step=5103 phase=C_full_covt +[Dataset] cur_step=5103 phase=C_full_covt +[Dataset] cur_step=5103 phase=C_full_covt[Dataset] cur_step=5103 phase=C_full_covt + +[Dataset] cur_step=5103 phase=C_full_covt +[Dataset] cur_step=5103 phase=C_full_covt +[Dataset] cur_step=5103 phase=C_full_covt + 57%|█████████████████ | 5103/9000 [3:23:18<4:22:30, 4.04s/it][Dataset] cur_step=5103 phase=C_full_covt + {'loss': '3.21', 'grad_norm': '2.288', 'learning_rate': '2.154e-05', 'epoch': '0.1836'} + 57%|█████████████████ | 5103/9000 [3:23:18<4:22:30, 4.04s/it] {'lm_loss': '0.2041', 'visual_loss': '2.586', 'seg_loss': '0.7584', 'dino_loss': '0.8944', 'depth_loss': '0.195', 'vggt_mse_loss': '0.1939', 'vggt_cos_loss': '0.0116', 'pidinet_loss': '0.2051', 'siglip_loss': '0.5327', 'epoch': '0.1836'} + 57%|█████████████████ | 5103/9000 [3:23:22<4:22:30, 4.04s/it][Dataset] cur_step=5104 phase=C_full_covt +[Dataset] cur_step=5104 phase=C_full_covt +[Dataset] cur_step=5104 phase=C_full_covt + 57%|█████████████████ | 5104/9000 [3:23:22<4:20:31, 4.01s/it][Dataset] cur_step=5104 phase=C_full_covt +[Dataset] cur_step=5104 phase=C_full_covt +[Dataset] cur_step=5104 phase=C_full_covt +[Dataset] cur_step=5104 phase=C_full_covt +[Dataset] cur_step=5104 phase=C_full_covt + {'loss': '3.032', 'grad_norm': '2.533', 'learning_rate': '2.153e-05', 'epoch': '0.1836'} + 57%|█████████████████ | 5104/9000 [3:23:22<4:20:31, 4.01s/it] {'lm_loss': '0.6893', 'visual_loss': '2.763', 'seg_loss': '0.7495', 'dino_loss': '0.8832', 'depth_loss': '0.3105', 'vggt_mse_loss': '0.3082', 'vggt_cos_loss': '0.02363', 'pidinet_loss': '0.2505', 'siglip_loss': '0.569', 'epoch': '0.1836'} + 57%|█████████████████ | 5104/9000 [3:23:26<4:20:31, 4.01s/it][Dataset] cur_step=5105 phase=C_full_covt +[Dataset] cur_step=5105 phase=C_full_covt +[Dataset] cur_step=5105 phase=C_full_covt[Dataset] cur_step=5105 phase=C_full_covt[Dataset] cur_step=5105 phase=C_full_covt + + +[Dataset] cur_step=5105 phase=C_full_covt +[Dataset] cur_step=5105 phase=C_full_covt 57%|█████████████████ | 5105/9000 [3:23:26<4:18:30, 3.98s/it] +[Dataset] cur_step=5105 phase=C_full_covt + {'loss': '3.324', 'grad_norm': '5.31', 'learning_rate': '2.152e-05', 'epoch': '0.1837'} + 57%|█████████████████ | 5105/9000 [3:23:26<4:18:30, 3.98s/it] {'lm_loss': '0.3906', 'visual_loss': '2.959', 'seg_loss': '0.8678', 'dino_loss': '0.9311', 'depth_loss': '0.3112', 'vggt_mse_loss': '0.3089', 'vggt_cos_loss': '0.02291', 'pidinet_loss': '0.1976', 'siglip_loss': '0.6516', 'epoch': '0.1837'} + 57%|█████████████████ | 5105/9000 [3:23:31<4:18:30, 3.98s/it][Dataset] cur_step=5106 phase=C_full_covt +[Dataset] cur_step=5106 phase=C_full_covt[Dataset] cur_step=5106 phase=C_full_covt +[Dataset] cur_step=5106 phase=C_full_covt + + 57%|█████████████████ | 5106/9000 [3:23:32<4:50:31, 4.48s/it][Dataset] cur_step=5106 phase=C_full_covt +[Dataset] cur_step=5106 phase=C_full_covt +[Dataset] cur_step=5106 phase=C_full_covt +[Dataset] cur_step=5106 phase=C_full_covt + {'loss': '2.909', 'grad_norm': '1.665', 'learning_rate': '2.151e-05', 'epoch': '0.1837'} + 57%|█████████████████ | 5106/9000 [3:23:32<4:50:31, 4.48s/it] {'lm_loss': '0.3156', 'visual_loss': '2.838', 'seg_loss': '0.7393', 'dino_loss': '0.9152', 'depth_loss': '0.2549', 'vggt_mse_loss': '0.2531', 'vggt_cos_loss': '0.01809', 'pidinet_loss': '0.2641', 'siglip_loss': '0.6643', 'epoch': '0.1837'} + 57%|█████████████████ | 5106/9000 [3:23:36<4:50:31, 4.48s/it][Dataset] cur_step=5107 phase=C_full_covt[Dataset] cur_step=5107 phase=C_full_covt + +[Dataset] cur_step=5107 phase=C_full_covt +[Dataset] cur_step=5107 phase=C_full_covt +[Dataset] cur_step=5107 phase=C_full_covt + 57%|█████████████████ | 5107/9000 [3:23:36<4:43:06, 4.36s/it][Dataset] cur_step=5107 phase=C_full_covt +[Dataset] cur_step=5107 phase=C_full_covt +[Dataset] cur_step=5107 phase=C_full_covt + {'loss': '3.149', 'grad_norm': '2.265', 'learning_rate': '2.15e-05', 'epoch': '0.1837'} + 57%|█████████████████ | 5107/9000 [3:23:36<4:43:06, 4.36s/it] {'lm_loss': '0.001672', 'visual_loss': '2.241', 'seg_loss': '0.6085', 'dino_loss': '0.893', 'depth_loss': '0.2211', 'vggt_mse_loss': '0.2199', 'vggt_cos_loss': '0.01163', 'pidinet_loss': '0.1712', 'siglip_loss': '0.3477', 'epoch': '0.1837'} + 57%|█████████████████ | 5107/9000 [3:23:40<4:43:06, 4.36s/it][Dataset] cur_step=5108 phase=C_full_covt +[Dataset] cur_step=5108 phase=C_full_covt[Dataset] cur_step=5108 phase=C_full_covt + +[Dataset] cur_step=5108 phase=C_full_covt[Dataset] cur_step=5108 phase=C_full_covt + + 57%|█████████████████ | 5108/9000 [3:23:40<4:40:14, 4.32s/it][Dataset] cur_step=5108 phase=C_full_covt +[Dataset] cur_step=5108 phase=C_full_covt +[Dataset] cur_step=5108 phase=C_full_covt + {'loss': '2.867', 'grad_norm': '2.035', 'learning_rate': '2.149e-05', 'epoch': '0.1838'} + 57%|█████████████████ | 5108/9000 [3:23:40<4:40:14, 4.32s/it] {'lm_loss': '0.2502', 'visual_loss': '2.687', 'seg_loss': '0.7035', 'dino_loss': '0.9172', 'depth_loss': '0.2143', 'vggt_mse_loss': '0.213', 'vggt_cos_loss': '0.01317', 'pidinet_loss': '0.2536', 'siglip_loss': '0.5984', 'epoch': '0.1838'} + 57%|█████████████████ | 5108/9000 [3:23:43<4:40:14, 4.32s/it][Dataset] cur_step=5109 phase=C_full_covt +[Dataset] cur_step=5109 phase=C_full_covt[Dataset] cur_step=5109 phase=C_full_covt + +[Dataset] cur_step=5109 phase=C_full_covt[Dataset] cur_step=5109 phase=C_full_covt + +[Dataset] cur_step=5109 phase=C_full_covt + 57%|█████████████████ | 5109/9000 [3:23:44<4:33:48, 4.22s/it][Dataset] cur_step=5109 phase=C_full_covt +[Dataset] cur_step=5109 phase=C_full_covt + {'loss': '3.079', 'grad_norm': '2.11', 'learning_rate': '2.148e-05', 'epoch': '0.1838'} + 57%|█████████████████ | 5109/9000 [3:23:44<4:33:48, 4.22s/it] {'lm_loss': '0.4783', 'visual_loss': '2.814', 'seg_loss': '0.7428', 'dino_loss': '0.9163', 'depth_loss': '0.2123', 'vggt_mse_loss': '0.2109', 'vggt_cos_loss': '0.01394', 'pidinet_loss': '0.2322', 'siglip_loss': '0.7103', 'epoch': '0.1838'} + 57%|█████████████████ | 5109/9000 [3:23:48<4:33:48, 4.22s/it][Dataset] cur_step=5110 phase=C_full_covt +[Dataset] cur_step=5110 phase=C_full_covt[Dataset] cur_step=5110 phase=C_full_covt + +[Dataset] cur_step=5110 phase=C_full_covt + 57%|█████████████████ | 5110/9000 [3:23:49<4:36:40, 4.27s/it][Dataset] cur_step=5110 phase=C_full_covt +[Dataset] cur_step=5110 phase=C_full_covt +[Dataset] cur_step=5110 phase=C_full_covt +[Dataset] cur_step=5110 phase=C_full_covt + {'loss': '3.21', 'grad_norm': '2.892', 'learning_rate': '2.148e-05', 'epoch': '0.1838'} + 57%|█████████████████ | 5110/9000 [3:23:49<4:36:40, 4.27s/it] {'lm_loss': '0.7076', 'visual_loss': '2.77', 'seg_loss': '0.7528', 'dino_loss': '0.9273', 'depth_loss': '0.2399', 'vggt_mse_loss': '0.238', 'vggt_cos_loss': '0.01833', 'pidinet_loss': '0.2202', 'siglip_loss': '0.6294', 'epoch': '0.1838'} + 57%|█████████████████ | 5110/9000 [3:23:52<4:36:40, 4.27s/it][Dataset] cur_step=5111 phase=C_full_covt +[Dataset] cur_step=5111 phase=C_full_covt[Dataset] cur_step=5111 phase=C_full_covt +[Dataset] cur_step=5111 phase=C_full_covt + +[Dataset] cur_step=5111 phase=C_full_covt +[Dataset] cur_step=5111 phase=C_full_covt +[Dataset] cur_step=5111 phase=C_full_covt + 57%|█████████████████ | 5111/9000 [3:23:55<5:12:45, 4.83s/it][Dataset] cur_step=5111 phase=C_full_covt + {'loss': '3.214', 'grad_norm': '3.859', 'learning_rate': '2.147e-05', 'epoch': '0.1839'} + 57%|█████████████████ | 5111/9000 [3:23:55<5:12:45, 4.83s/it] {'lm_loss': '0.03674', 'visual_loss': '2.853', 'seg_loss': '0.7191', 'dino_loss': '0.9251', 'depth_loss': '0.325', 'vggt_mse_loss': '0.3219', 'vggt_cos_loss': '0.03105', 'pidinet_loss': '0.2727', 'siglip_loss': '0.6106', 'epoch': '0.1839'} + 57%|█████████████████ | 5111/9000 [3:23:58<5:12:45, 4.83s/it][Dataset] cur_step=5112 phase=C_full_covt +[Dataset] cur_step=5112 phase=C_full_covt +[Dataset] cur_step=5112 phase=C_full_covt[Dataset] cur_step=5112 phase=C_full_covt + +[Dataset] cur_step=5112 phase=C_full_covt +[Dataset] cur_step=5112 phase=C_full_covt[Dataset] cur_step=5112 phase=C_full_covt + 57%|█████████████████ | 5112/9000 [3:23:58<4:49:34, 4.47s/it] +[Dataset] cur_step=5112 phase=C_full_covt + {'loss': '3.173', 'grad_norm': '2.69', 'learning_rate': '2.146e-05', 'epoch': '0.1839'} + 57%|█████████████████ | 5112/9000 [3:23:58<4:49:34, 4.47s/it] {'lm_loss': '0.2397', 'visual_loss': '2.731', 'seg_loss': '0.7283', 'dino_loss': '0.9231', 'depth_loss': '0.2625', 'vggt_mse_loss': '0.2608', 'vggt_cos_loss': '0.01673', 'pidinet_loss': '0.2338', 'siglip_loss': '0.5829', 'epoch': '0.1839'} + 57%|█████████████████ | 5112/9000 [3:24:02<4:49:34, 4.47s/it][Dataset] cur_step=5113 phase=C_full_covt +[Dataset] cur_step=5113 phase=C_full_covt +[Dataset] cur_step=5113 phase=C_full_covt[Dataset] cur_step=5113 phase=C_full_covt +[Dataset] cur_step=5113 phase=C_full_covt[Dataset] cur_step=5113 phase=C_full_covt + + +[Dataset] cur_step=5113 phase=C_full_covt + 57%|█████████████████ | 5113/9000 [3:24:02<4:35:20, 4.25s/it][Dataset] cur_step=5113 phase=C_full_covt + {'loss': '3.208', 'grad_norm': '2.983', 'learning_rate': '2.145e-05', 'epoch': '0.1839'} + 57%|█████████████████ | 5113/9000 [3:24:02<4:35:20, 4.25s/it] {'lm_loss': '0.5667', 'visual_loss': '2.707', 'seg_loss': '0.7574', 'dino_loss': '0.9213', 'depth_loss': '0.264', 'vggt_mse_loss': '0.2623', 'vggt_cos_loss': '0.017', 'pidinet_loss': '0.2603', 'siglip_loss': '0.5039', 'epoch': '0.1839'} + 57%|█████████████████ | 5113/9000 [3:24:05<4:35:20, 4.25s/it][Dataset] cur_step=5114 phase=C_full_covt +[Dataset] cur_step=5114 phase=C_full_covt +[Dataset] cur_step=5114 phase=C_full_covt +[Dataset] cur_step=5114 phase=C_full_covt +[Dataset] cur_step=5114 phase=C_full_covt +[Dataset] cur_step=5114 phase=C_full_covt +[Dataset] cur_step=5114 phase=C_full_covt[Dataset] cur_step=5114 phase=C_full_covt + + 57%|█████████████████ | 5114/9000 [3:24:08<5:12:34, 4.83s/it] {'loss': '3.088', 'grad_norm': '1.98', 'learning_rate': '2.144e-05', 'epoch': '0.184'} + 57%|█████████████████ | 5114/9000 [3:24:08<5:12:34, 4.83s/it] {'lm_loss': '1.077', 'visual_loss': '2.694', 'seg_loss': '0.6939', 'dino_loss': '0.9198', 'depth_loss': '0.2856', 'vggt_mse_loss': '0.2837', 'vggt_cos_loss': '0.01824', 'pidinet_loss': '0.2099', 'siglip_loss': '0.5844', 'epoch': '0.184'} + 57%|█████████████████ | 5114/9000 [3:24:12<5:12:34, 4.83s/it][Dataset] cur_step=5115 phase=C_full_covt +[Dataset] cur_step=5115 phase=C_full_covt[Dataset] cur_step=5115 phase=C_full_covt +[Dataset] cur_step=5115 phase=C_full_covt + +[Dataset] cur_step=5115 phase=C_full_covt +[Dataset] cur_step=5115 phase=C_full_covt + 57%|█████████████████ | 5115/9000 [3:24:14<5:33:56, 5.16s/it][Dataset] cur_step=5115 phase=C_full_covt +[Dataset] cur_step=5115 phase=C_full_covt + {'loss': '3.249', 'grad_norm': '14.52', 'learning_rate': '2.143e-05', 'epoch': '0.184'} + 57%|█████████████████ | 5115/9000 [3:24:14<5:33:56, 5.16s/it] {'lm_loss': '0.001156', 'visual_loss': '2.625', 'seg_loss': '0.6555', 'dino_loss': '0.9303', 'depth_loss': '0.2567', 'vggt_mse_loss': '0.2546', 'vggt_cos_loss': '0.02043', 'pidinet_loss': '0.2348', 'siglip_loss': '0.5476', 'epoch': '0.184'} + 57%|█████████████████ | 5115/9000 [3:24:17<5:33:56, 5.16s/it][Dataset] cur_step=5116 phase=C_full_covt +[Dataset] cur_step=5116 phase=C_full_covt[Dataset] cur_step=5116 phase=C_full_covt + +[Dataset] cur_step=5116 phase=C_full_covt[Dataset] cur_step=5116 phase=C_full_covt +[Dataset] cur_step=5116 phase=C_full_covt +[Dataset] cur_step=5116 phase=C_full_covt + + 57%|█████████████████ | 5116/9000 [3:24:18<5:06:21, 4.73s/it][Dataset] cur_step=5116 phase=C_full_covt + {'loss': '3.234', 'grad_norm': '2.356', 'learning_rate': '2.142e-05', 'epoch': '0.184'} + 57%|█████████████████ | 5116/9000 [3:24:18<5:06:21, 4.73s/it] {'lm_loss': '0.5418', 'visual_loss': '2.828', 'seg_loss': '0.8425', 'dino_loss': '0.9116', 'depth_loss': '0.2557', 'vggt_mse_loss': '0.254', 'vggt_cos_loss': '0.01713', 'pidinet_loss': '0.2069', 'siglip_loss': '0.6116', 'epoch': '0.184'} + 57%|█████████████████ | 5116/9000 [3:24:21<5:06:21, 4.73s/it][Dataset] cur_step=5117 phase=C_full_covt[Dataset] cur_step=5117 phase=C_full_covt + +[Dataset] cur_step=5117 phase=C_full_covt +[Dataset] cur_step=5117 phase=C_full_covt +[Dataset] cur_step=5117 phase=C_full_covt +[Dataset] cur_step=5117 phase=C_full_covt + 57%|█████████████████ | 5117/9000 [3:24:22<4:52:07, 4.51s/it][Dataset] cur_step=5117 phase=C_full_covt +[Dataset] cur_step=5117 phase=C_full_covt + {'loss': '3.116', 'grad_norm': '2.84', 'learning_rate': '2.141e-05', 'epoch': '0.1841'} + 57%|█████████████████ | 5117/9000 [3:24:22<4:52:07, 4.51s/it] {'lm_loss': '0.3095', 'visual_loss': '2.76', 'seg_loss': '0.7739', 'dino_loss': '0.9169', 'depth_loss': '0.256', 'vggt_mse_loss': '0.2541', 'vggt_cos_loss': '0.0197', 'pidinet_loss': '0.2552', 'siglip_loss': '0.5584', 'epoch': '0.1841'} + 57%|█████████████████ | 5117/9000 [3:24:25<4:52:07, 4.51s/it][Dataset] cur_step=5118 phase=C_full_covt +[Dataset] cur_step=5118 phase=C_full_covt +[Dataset] cur_step=5118 phase=C_full_covt +[Dataset] cur_step=5118 phase=C_full_covt[Dataset] cur_step=5118 phase=C_full_covt + +[Dataset] cur_step=5118 phase=C_full_covt +[Dataset] cur_step=5118 phase=C_full_covt +[Dataset] cur_step=5118 phase=C_full_covt + 57%|█████████████████ | 5118/9000 [3:24:26<4:38:13, 4.30s/it] {'loss': '3.285', 'grad_norm': '2.661', 'learning_rate': '2.14e-05', 'epoch': '0.1841'} + 57%|█████████████████ | 5118/9000 [3:24:26<4:38:13, 4.30s/it] {'lm_loss': '0.2536', 'visual_loss': '2.694', 'seg_loss': '0.7886', 'dino_loss': '0.9195', 'depth_loss': '0.3336', 'vggt_mse_loss': '0.331', 'vggt_cos_loss': '0.02651', 'pidinet_loss': '0.1508', 'siglip_loss': '0.5018', 'epoch': '0.1841'} + 57%|█████████████████ | 5118/9000 [3:24:29<4:38:13, 4.30s/it][Dataset] cur_step=5119 phase=C_full_covt[Dataset] cur_step=5119 phase=C_full_covt + +[Dataset] cur_step=5119 phase=C_full_covt[Dataset] cur_step=5119 phase=C_full_covt + +[Dataset] cur_step=5119 phase=C_full_covt[Dataset] cur_step=5119 phase=C_full_covt + +[Dataset] cur_step=5119 phase=C_full_covt +[Dataset] cur_step=5119 phase=C_full_covt + 57%|█████████████████ | 5119/9000 [3:24:30<4:32:28, 4.21s/it] {'loss': '3.063', 'grad_norm': '2.715', 'learning_rate': '2.139e-05', 'epoch': '0.1842'} + 57%|█████████████████ | 5119/9000 [3:24:30<4:32:28, 4.21s/it] {'lm_loss': '0.9629', 'visual_loss': '2.564', 'seg_loss': '0.8145', 'dino_loss': '0.902', 'depth_loss': '0.23', 'vggt_mse_loss': '0.229', 'vggt_cos_loss': '0.01017', 'pidinet_loss': '0.1942', 'siglip_loss': '0.4237', 'epoch': '0.1842'} + 57%|█████████████████ | 5119/9000 [3:24:33<4:32:28, 4.21s/it][Dataset] cur_step=5120 phase=C_full_covt +[Dataset] cur_step=5120 phase=C_full_covt +[Dataset] cur_step=5120 phase=C_full_covt[Dataset] cur_step=5120 phase=C_full_covt + +[Dataset] cur_step=5120 phase=C_full_covt[Dataset] cur_step=5120 phase=C_full_covt + +[Dataset] cur_step=5120 phase=C_full_covt +[Dataset] cur_step=5120 phase=C_full_covt + 57%|█████████████████ | 5120/9000 [3:24:33<4:23:46, 4.08s/it] {'loss': '3.289', 'grad_norm': '7.305', 'learning_rate': '2.138e-05', 'epoch': '0.1842'} + 57%|█████████████████ | 5120/9000 [3:24:33<4:23:46, 4.08s/it] {'lm_loss': '0.008244', 'visual_loss': '2.183', 'seg_loss': '0.5641', 'dino_loss': '0.8665', 'depth_loss': '0.2539', 'vggt_mse_loss': '0.253', 'vggt_cos_loss': '0.009373', 'pidinet_loss': '0.1441', 'siglip_loss': '0.3541', 'epoch': '0.1842'} + 57%|█████████████████ | 5120/9000 [3:24:37<4:23:46, 4.08s/it][Dataset] cur_step=5121 phase=C_full_covt +[Dataset] cur_step=5121 phase=C_full_covt +[Dataset] cur_step=5121 phase=C_full_covt +[Dataset] cur_step=5121 phase=C_full_covt +[Dataset] cur_step=5121 phase=C_full_covt +[Dataset] cur_step=5121 phase=C_full_covt[Dataset] cur_step=5121 phase=C_full_covt + 57%|█████████████████ | 5121/9000 [3:24:40<5:08:13, 4.77s/it] +[Dataset] cur_step=5121 phase=C_full_covt + {'loss': '3.129', 'grad_norm': '1.7', 'learning_rate': '2.138e-05', 'epoch': '0.1842'} + 57%|█████████████████ | 5121/9000 [3:24:40<5:08:13, 4.77s/it] {'lm_loss': '0.8896', 'visual_loss': '3.04', 'seg_loss': '0.7549', 'dino_loss': '0.9577', 'depth_loss': '0.3322', 'vggt_mse_loss': '0.3302', 'vggt_cos_loss': '0.01922', 'pidinet_loss': '0.22', 'siglip_loss': '0.7752', 'epoch': '0.1842'} + 57%|█████████████████ | 5121/9000 [3:24:43<5:08:13, 4.77s/it][Dataset] cur_step=5122 phase=C_full_covt +[Dataset] cur_step=5122 phase=C_full_covt +[Dataset] cur_step=5122 phase=C_full_covt +[Dataset] cur_step=5122 phase=C_full_covt +[Dataset] cur_step=5122 phase=C_full_covt +[Dataset] cur_step=5122 phase=C_full_covt +[Dataset] cur_step=5122 phase=C_full_covt +[Dataset] cur_step=5122 phase=C_full_covt + 57%|█████████████████ | 5122/9000 [3:24:44<4:52:34, 4.53s/it] {'loss': '3.205', 'grad_norm': '3.975', 'learning_rate': '2.137e-05', 'epoch': '0.1843'} + 57%|█████████████████ | 5122/9000 [3:24:44<4:52:34, 4.53s/it] {'lm_loss': '0.404', 'visual_loss': '2.73', 'seg_loss': '0.6393', 'dino_loss': '0.9158', 'depth_loss': '0.3943', 'vggt_mse_loss': '0.3907', 'vggt_cos_loss': '0.03656', 'pidinet_loss': '0.2614', 'siglip_loss': '0.5194', 'epoch': '0.1843'} + 57%|█████████████████ | 5122/9000 [3:24:47<4:52:34, 4.53s/it][Dataset] cur_step=5123 phase=C_full_covt +[Dataset] cur_step=5123 phase=C_full_covt +[Dataset] cur_step=5123 phase=C_full_covt + 57%|█████████████████ | 5123/9000 [3:24:48<4:37:44, 4.30s/it][Dataset] cur_step=5123 phase=C_full_covt[Dataset] cur_step=5123 phase=C_full_covt +[Dataset] cur_step=5123 phase=C_full_covt + +[Dataset] cur_step=5123 phase=C_full_covt +[Dataset] cur_step=5123 phase=C_full_covt + {'loss': '2.941', 'grad_norm': '4.498', 'learning_rate': '2.136e-05', 'epoch': '0.1843'} + 57%|█████████████████ | 5123/9000 [3:24:48<4:37:44, 4.30s/it] {'lm_loss': '0.5195', 'visual_loss': '2.89', 'seg_loss': '0.7569', 'dino_loss': '0.933', 'depth_loss': '0.2791', 'vggt_mse_loss': '0.2774', 'vggt_cos_loss': '0.01791', 'pidinet_loss': '0.2493', 'siglip_loss': '0.6717', 'epoch': '0.1843'} + 57%|█████████████████ | 5123/9000 [3:24:50<4:37:44, 4.30s/it][Dataset] cur_step=5124 phase=C_full_covt +[Dataset] cur_step=5124 phase=C_full_covt[Dataset] cur_step=5124 phase=C_full_covt + +[Dataset] cur_step=5124 phase=C_full_covt +[Dataset] cur_step=5124 phase=C_full_covt +[Dataset] cur_step=5124 phase=C_full_covt +[Dataset] cur_step=5124 phase=C_full_covt + 57%|█████████████████ | 5124/9000 [3:24:51<4:26:27, 4.12s/it][Dataset] cur_step=5124 phase=C_full_covt + {'loss': '3.367', 'grad_norm': '3.812', 'learning_rate': '2.135e-05', 'epoch': '0.1843'} + 57%|█████████████████ | 5124/9000 [3:24:51<4:26:27, 4.12s/it] {'lm_loss': '0.002248', 'visual_loss': '1.959', 'seg_loss': '0.5633', 'dino_loss': '0.8566', 'depth_loss': '0.219', 'vggt_mse_loss': '0.2181', 'vggt_cos_loss': '0.009314', 'pidinet_loss': '0.08548', 'siglip_loss': '0.2342', 'epoch': '0.1843'} + 57%|█████████████████ | 5124/9000 [3:24:55<4:26:27, 4.12s/it][Dataset] cur_step=5125 phase=C_full_covt +[Dataset] cur_step=5125 phase=C_full_covt[Dataset] cur_step=5125 phase=C_full_covt + + 57%|█████████████████ | 5125/9000 [3:24:55<4:24:37, 4.10s/it][Dataset] cur_step=5125 phase=C_full_covt[Dataset] cur_step=5125 phase=C_full_covt + +[Dataset] cur_step=5125 phase=C_full_covt +[Dataset] cur_step=5125 phase=C_full_covt +[Dataset] cur_step=5125 phase=C_full_covt + {'loss': '3.05', 'grad_norm': '3.311', 'learning_rate': '2.134e-05', 'epoch': '0.1844'} + 57%|█████████████████ | 5125/9000 [3:24:55<4:24:37, 4.10s/it] {'lm_loss': '0.8865', 'visual_loss': '2.756', 'seg_loss': '0.7212', 'dino_loss': '0.9194', 'depth_loss': '0.2421', 'vggt_mse_loss': '0.2405', 'vggt_cos_loss': '0.01602', 'pidinet_loss': '0.2318', 'siglip_loss': '0.6412', 'epoch': '0.1844'} + 57%|█████████████████ | 5125/9000 [3:24:59<4:24:37, 4.10s/it][Dataset] cur_step=5126 phase=C_full_covt +[Dataset] cur_step=5126 phase=C_full_covt + 57%|█████████████████ | 5126/9000 [3:25:01<4:58:00, 4.62s/it][Dataset] cur_step=5126 phase=C_full_covt +[Dataset] cur_step=5126 phase=C_full_covt +[Dataset] cur_step=5126 phase=C_full_covt +[Dataset] cur_step=5126 phase=C_full_covt +[Dataset] cur_step=5126 phase=C_full_covt +[Dataset] cur_step=5126 phase=C_full_covt + {'loss': '3.334', 'grad_norm': '25.97', 'learning_rate': '2.133e-05', 'epoch': '0.1844'} + 57%|█████████████████ | 5126/9000 [3:25:01<4:58:00, 4.62s/it] {'lm_loss': '0.3058', 'visual_loss': '3.064', 'seg_loss': '0.7936', 'dino_loss': '0.9313', 'depth_loss': '0.2829', 'vggt_mse_loss': '0.281', 'vggt_cos_loss': '0.01898', 'pidinet_loss': '0.2064', 'siglip_loss': '0.8498', 'epoch': '0.1844'} + 57%|█████████████████ | 5126/9000 [3:25:05<4:58:00, 4.62s/it][Dataset] cur_step=5127 phase=C_full_covt +[Dataset] cur_step=5127 phase=C_full_covt +[Dataset] cur_step=5127 phase=C_full_covt +[Dataset] cur_step=5127 phase=C_full_covt +[Dataset] cur_step=5127 phase=C_full_covt +[Dataset] cur_step=5127 phase=C_full_covt + 57%|█████████████████ | 5127/9000 [3:25:07<5:31:41, 5.14s/it][Dataset] cur_step=5127 phase=C_full_covt +[Dataset] cur_step=5127 phase=C_full_covt + {'loss': '3.003', 'grad_norm': '1.889', 'learning_rate': '2.132e-05', 'epoch': '0.1844'} + 57%|█████████████████ | 5127/9000 [3:25:07<5:31:41, 5.14s/it] {'lm_loss': '0.2598', 'visual_loss': '2.87', 'seg_loss': '0.6545', 'dino_loss': '0.9194', 'depth_loss': '0.3529', 'vggt_mse_loss': '0.3505', 'vggt_cos_loss': '0.02346', 'pidinet_loss': '0.2281', 'siglip_loss': '0.7156', 'epoch': '0.1844'} + 57%|█████████████████ | 5127/9000 [3:25:11<5:31:41, 5.14s/it][Dataset] cur_step=5128 phase=C_full_covt +[Dataset] cur_step=5128 phase=C_full_covt +[Dataset] cur_step=5128 phase=C_full_covt[Dataset] cur_step=5128 phase=C_full_covt + +[Dataset] cur_step=5128 phase=C_full_covt[Dataset] cur_step=5128 phase=C_full_covt + 57%|█████████████████ | 5128/9000 [3:25:11<5:08:29, 4.78s/it] +[Dataset] cur_step=5128 phase=C_full_covt +[Dataset] cur_step=5128 phase=C_full_covt + {'loss': '3.273', 'grad_norm': '2.514', 'learning_rate': '2.131e-05', 'epoch': '0.1845'} + 57%|█████████████████ | 5128/9000 [3:25:11<5:08:29, 4.78s/it] {'lm_loss': '0.4189', 'visual_loss': '2.349', 'seg_loss': '0.6284', 'dino_loss': '0.8871', 'depth_loss': '0.2225', 'vggt_mse_loss': '0.2212', 'vggt_cos_loss': '0.01298', 'pidinet_loss': '0.1721', 'siglip_loss': '0.4387', 'epoch': '0.1845'} + 57%|█████████████████ | 5128/9000 [3:25:15<5:08:29, 4.78s/it][Dataset] cur_step=5129 phase=C_full_covt +[Dataset] cur_step=5129 phase=C_full_covt +[Dataset] cur_step=5129 phase=C_full_covt + 57%|█████████████████ | 5129/9000 [3:25:16<4:55:18, 4.58s/it][Dataset] cur_step=5129 phase=C_full_covt[Dataset] cur_step=5129 phase=C_full_covt +[Dataset] cur_step=5129 phase=C_full_covt + +[Dataset] cur_step=5129 phase=C_full_covt +[Dataset] cur_step=5129 phase=C_full_covt + {'loss': '3.215', 'grad_norm': '2.867', 'learning_rate': '2.13e-05', 'epoch': '0.1845'} + 57%|█████████████████ | 5129/9000 [3:25:16<4:55:18, 4.58s/it] {'lm_loss': '0.4937', 'visual_loss': '2.758', 'seg_loss': '0.7787', 'dino_loss': '0.9371', 'depth_loss': '0.2764', 'vggt_mse_loss': '0.2742', 'vggt_cos_loss': '0.0222', 'pidinet_loss': '0.2234', 'siglip_loss': '0.5424', 'epoch': '0.1845'} + 57%|█████████████████ | 5129/9000 [3:25:19<4:55:18, 4.58s/it][Dataset] cur_step=5130 phase=C_full_covt +[Dataset] cur_step=5130 phase=C_full_covt +[Dataset] cur_step=5130 phase=C_full_covt +[Dataset] cur_step=5130 phase=C_full_covt +[Dataset] cur_step=5130 phase=C_full_covt +[Dataset] cur_step=5130 phase=C_full_covt +[Dataset] cur_step=5130 phase=C_full_covt[Dataset] cur_step=5130 phase=C_full_covt + + 57%|█████████████████ | 5130/9000 [3:25:19<4:42:24, 4.38s/it] {'loss': '3.26', 'grad_norm': '3.803', 'learning_rate': '2.129e-05', 'epoch': '0.1846'} + 57%|█████████████████ | 5130/9000 [3:25:19<4:42:24, 4.38s/it] {'lm_loss': '0.8588', 'visual_loss': '2.81', 'seg_loss': '0.8176', 'dino_loss': '0.9516', 'depth_loss': '0.2675', 'vggt_mse_loss': '0.2654', 'vggt_cos_loss': '0.02129', 'pidinet_loss': '0.2582', 'siglip_loss': '0.5155', 'epoch': '0.1846'} + 57%|█████████████████ | 5130/9000 [3:25:22<4:42:24, 4.38s/it][Dataset] cur_step=5131 phase=C_full_covt +[Dataset] cur_step=5131 phase=C_full_covt[Dataset] cur_step=5131 phase=C_full_covt + +[Dataset] cur_step=5131 phase=C_full_covt +[Dataset] cur_step=5131 phase=C_full_covt +[Dataset] cur_step=5131 phase=C_full_covt + 57%|█████████████████ | 5131/9000 [3:25:23<4:31:52, 4.22s/it][Dataset] cur_step=5131 phase=C_full_covt +[Dataset] cur_step=5131 phase=C_full_covt + {'loss': '3.522', 'grad_norm': '3.468', 'learning_rate': '2.128e-05', 'epoch': '0.1846'} + 57%|█████████████████ | 5131/9000 [3:25:23<4:31:52, 4.22s/it] {'lm_loss': '0.4444', 'visual_loss': '2.648', 'seg_loss': '0.6918', 'dino_loss': '0.9338', 'depth_loss': '0.2409', 'vggt_mse_loss': '0.239', 'vggt_cos_loss': '0.01841', 'pidinet_loss': '0.1998', 'siglip_loss': '0.5819', 'epoch': '0.1846'} + 57%|█████████████████ | 5131/9000 [3:25:26<4:31:52, 4.22s/it][Dataset] cur_step=5132 phase=C_full_covt[Dataset] cur_step=5132 phase=C_full_covt + +[Dataset] cur_step=5132 phase=C_full_covt +[Dataset] cur_step=5132 phase=C_full_covt +[Dataset] cur_step=5132 phase=C_full_covt[Dataset] cur_step=5132 phase=C_full_covt + +[Dataset] cur_step=5132 phase=C_full_covt[Dataset] cur_step=5132 phase=C_full_covt + + 57%|█████████████████ | 5132/9000 [3:25:27<4:21:33, 4.06s/it] {'loss': '3.291', 'grad_norm': '2.376', 'learning_rate': '2.128e-05', 'epoch': '0.1846'} + 57%|█████████████████ | 5132/9000 [3:25:27<4:21:33, 4.06s/it] {'lm_loss': '0.9617', 'visual_loss': '3.064', 'seg_loss': '0.6352', 'dino_loss': '0.9477', 'depth_loss': '0.2832', 'vggt_mse_loss': '0.2817', 'vggt_cos_loss': '0.01559', 'pidinet_loss': '0.2579', 'siglip_loss': '0.94', 'epoch': '0.1846'} + 57%|█████████████████ | 5132/9000 [3:25:30<4:21:33, 4.06s/it][Dataset] cur_step=5133 phase=C_full_covt +[Dataset] cur_step=5133 phase=C_full_covt +[Dataset] cur_step=5133 phase=C_full_covt +[Dataset] cur_step=5133 phase=C_full_covt[Dataset] cur_step=5133 phase=C_full_covt + + 57%|█████████████████ | 5133/9000 [3:25:31<4:20:56, 4.05s/it][Dataset] cur_step=5133 phase=C_full_covt +[Dataset] cur_step=5133 phase=C_full_covt +[Dataset] cur_step=5133 phase=C_full_covt + {'loss': '3.31', 'grad_norm': '1.917', 'learning_rate': '2.127e-05', 'epoch': '0.1847'} + 57%|█████████████████ | 5133/9000 [3:25:31<4:20:56, 4.05s/it] {'lm_loss': '0.4773', 'visual_loss': '2.843', 'seg_loss': '0.7965', 'dino_loss': '0.8991', 'depth_loss': '0.217', 'vggt_mse_loss': '0.2154', 'vggt_cos_loss': '0.01532', 'pidinet_loss': '0.2398', 'siglip_loss': '0.6908', 'epoch': '0.1847'} + 57%|█████████████████ | 5133/9000 [3:25:34<4:20:56, 4.05s/it][Dataset] cur_step=5134 phase=C_full_covt +[Dataset] cur_step=5134 phase=C_full_covt +[Dataset] cur_step=5134 phase=C_full_covt +[Dataset] cur_step=5134 phase=C_full_covt +[Dataset] cur_step=5134 phase=C_full_covt +[Dataset] cur_step=5134 phase=C_full_covt 57%|█████████████████ | 5134/9000 [3:25:35<4:13:08, 3.93s/it] +[Dataset] cur_step=5134 phase=C_full_covt +[Dataset] cur_step=5134 phase=C_full_covt + {'loss': '3.255', 'grad_norm': '8.48', 'learning_rate': '2.126e-05', 'epoch': '0.1847'} + 57%|█████████████████ | 5134/9000 [3:25:35<4:13:08, 3.93s/it] {'lm_loss': '0.007836', 'visual_loss': '2.663', 'seg_loss': '0.6601', 'dino_loss': '0.8993', 'depth_loss': '0.4492', 'vggt_mse_loss': '0.4464', 'vggt_cos_loss': '0.02795', 'pidinet_loss': '0.1995', 'siglip_loss': '0.4549', 'epoch': '0.1847'} + 57%|█████████████████ | 5134/9000 [3:25:38<4:13:08, 3.93s/it][Dataset] cur_step=5135 phase=C_full_covt +[Dataset] cur_step=5135 phase=C_full_covt +[Dataset] cur_step=5135 phase=C_full_covt + 57%|█████████████████ | 5135/9000 [3:25:39<4:11:56, 3.91s/it][Dataset] cur_step=5135 phase=C_full_covt +[Dataset] cur_step=5135 phase=C_full_covt +[Dataset] cur_step=5135 phase=C_full_covt[Dataset] cur_step=5135 phase=C_full_covt + +[Dataset] cur_step=5135 phase=C_full_covt + {'loss': '3.004', 'grad_norm': '3.528', 'learning_rate': '2.125e-05', 'epoch': '0.1847'} + 57%|█████████████████ | 5135/9000 [3:25:39<4:11:56, 3.91s/it] {'lm_loss': '0.5253', 'visual_loss': '2.833', 'seg_loss': '0.6815', 'dino_loss': '0.9388', 'depth_loss': '0.2707', 'vggt_mse_loss': '0.2686', 'vggt_cos_loss': '0.02078', 'pidinet_loss': '0.2706', 'siglip_loss': '0.6712', 'epoch': '0.1847'} + 57%|█████████████████ | 5135/9000 [3:25:42<4:11:56, 3.91s/it][Dataset] cur_step=5136 phase=C_full_covt[Dataset] cur_step=5136 phase=C_full_covt[Dataset] cur_step=5136 phase=C_full_covt + + +[Dataset] cur_step=5136 phase=C_full_covt +[Dataset] cur_step=5136 phase=C_full_covt +[Dataset] cur_step=5136 phase=C_full_covt + 57%|█████████████████ | 5136/9000 [3:25:43<4:27:05, 4.15s/it][Dataset] cur_step=5136 phase=C_full_covt +[Dataset] cur_step=5136 phase=C_full_covt + {'loss': '3.042', 'grad_norm': '1.849', 'learning_rate': '2.124e-05', 'epoch': '0.1848'} + 57%|█████████████████ | 5136/9000 [3:25:43<4:27:05, 4.15s/it] {'lm_loss': '0.005688', 'visual_loss': '2.513', 'seg_loss': '0.706', 'dino_loss': '0.909', 'depth_loss': '0.2601', 'vggt_mse_loss': '0.2581', 'vggt_cos_loss': '0.01998', 'pidinet_loss': '0.1909', 'siglip_loss': '0.4473', 'epoch': '0.1848'} + 57%|█████████████████ | 5136/9000 [3:25:47<4:27:05, 4.15s/it][Dataset] cur_step=5137 phase=C_full_covt +[Dataset] cur_step=5137 phase=C_full_covt[Dataset] cur_step=5137 phase=C_full_covt + +[Dataset] cur_step=5137 phase=C_full_covt +[Dataset] cur_step=5137 phase=C_full_covt + 57%|█████████████████ | 5137/9000 [3:25:47<4:19:25, 4.03s/it][Dataset] cur_step=5137 phase=C_full_covt +[Dataset] cur_step=5137 phase=C_full_covt +[Dataset] cur_step=5137 phase=C_full_covt + {'loss': '3.142', 'grad_norm': '1.918', 'learning_rate': '2.123e-05', 'epoch': '0.1848'} + 57%|█████████████████ | 5137/9000 [3:25:47<4:19:25, 4.03s/it] {'lm_loss': '0.4692', 'visual_loss': '2.758', 'seg_loss': '0.7778', 'dino_loss': '0.9292', 'depth_loss': '0.2016', 'vggt_mse_loss': '0.2002', 'vggt_cos_loss': '0.01311', 'pidinet_loss': '0.1997', 'siglip_loss': '0.6493', 'epoch': '0.1848'} + 57%|█████████████████ | 5137/9000 [3:25:50<4:19:25, 4.03s/it][Dataset] cur_step=5138 phase=C_full_covt +[Dataset] cur_step=5138 phase=C_full_covt +[Dataset] cur_step=5138 phase=C_full_covt[Dataset] cur_step=5138 phase=C_full_covt + +[Dataset] cur_step=5138 phase=C_full_covt[Dataset] cur_step=5138 phase=C_full_covt + +[Dataset] cur_step=5138 phase=C_full_covt +[Dataset] cur_step=5138 phase=C_full_covt + 57%|█████████████████▏ | 5138/9000 [3:25:51<4:18:17, 4.01s/it] {'loss': '3.007', 'grad_norm': '6.528', 'learning_rate': '2.122e-05', 'epoch': '0.1848'} + 57%|█████████████████▏ | 5138/9000 [3:25:51<4:18:17, 4.01s/it] {'lm_loss': '0.4428', 'visual_loss': '2.725', 'seg_loss': '0.6788', 'dino_loss': '0.908', 'depth_loss': '0.2447', 'vggt_mse_loss': '0.2429', 'vggt_cos_loss': '0.01797', 'pidinet_loss': '0.2061', 'siglip_loss': '0.6874', 'epoch': '0.1848'} + 57%|█████████████████▏ | 5138/9000 [3:25:54<4:18:17, 4.01s/it][Dataset] cur_step=5139 phase=C_full_covt +[Dataset] cur_step=5139 phase=C_full_covt +[Dataset] cur_step=5139 phase=C_full_covt[Dataset] cur_step=5139 phase=C_full_covt + +[Dataset] cur_step=5139 phase=C_full_covt +[Dataset] cur_step=5139 phase=C_full_covt[Dataset] cur_step=5139 phase=C_full_covt + + 57%|█████████████████▏ | 5139/9000 [3:25:55<4:17:55, 4.01s/it][Dataset] cur_step=5139 phase=C_full_covt + {'loss': '3.206', 'grad_norm': '7.645', 'learning_rate': '2.121e-05', 'epoch': '0.1849'} + 57%|█████████████████▏ | 5139/9000 [3:25:55<4:17:55, 4.01s/it] {'lm_loss': '0.4494', 'visual_loss': '2.682', 'seg_loss': '0.6499', 'dino_loss': '0.8874', 'depth_loss': '0.279', 'vggt_mse_loss': '0.2769', 'vggt_cos_loss': '0.02101', 'pidinet_loss': '0.2765', 'siglip_loss': '0.5893', 'epoch': '0.1849'} + 57%|█████████████████▏ | 5139/9000 [3:25:58<4:17:55, 4.01s/it][Dataset] cur_step=5140 phase=C_full_covt +[Dataset] cur_step=5140 phase=C_full_covt +[Dataset] cur_step=5140 phase=C_full_covt +[Dataset] cur_step=5140 phase=C_full_covt +[Dataset] cur_step=5140 phase=C_full_covt +[Dataset] cur_step=5140 phase=C_full_covt[Dataset] cur_step=5140 phase=C_full_covt 57%|█████████████████▏ | 5140/9000 [3:25:59<4:15:03, 3.96s/it] + +[Dataset] cur_step=5140 phase=C_full_covt + {'loss': '3.048', 'grad_norm': '2.244', 'learning_rate': '2.12e-05', 'epoch': '0.1849'} + 57%|█████████████████▏ | 5140/9000 [3:25:59<4:15:03, 3.96s/it] {'lm_loss': '0.6563', 'visual_loss': '2.591', 'seg_loss': '0.7335', 'dino_loss': '0.9171', 'depth_loss': '0.2894', 'vggt_mse_loss': '0.2877', 'vggt_cos_loss': '0.01693', 'pidinet_loss': '0.2159', 'siglip_loss': '0.435', 'epoch': '0.1849'} + 57%|█████████████████▏ | 5140/9000 [3:26:02<4:15:03, 3.96s/it][Dataset] cur_step=5141 phase=C_full_covt +[Dataset] cur_step=5141 phase=C_full_covt[Dataset] cur_step=5141 phase=C_full_covt + +[Dataset] cur_step=5141 phase=C_full_covt +[Dataset] cur_step=5141 phase=C_full_covt[Dataset] cur_step=5141 phase=C_full_covt + +[Dataset] cur_step=5141 phase=C_full_covt +[Dataset] cur_step=5141 phase=C_full_covt + 57%|█████████████████▏ | 5141/9000 [3:26:03<4:14:34, 3.96s/it] {'loss': '3.182', 'grad_norm': '1.864', 'learning_rate': '2.119e-05', 'epoch': '0.1849'} + 57%|█████████████████▏ | 5141/9000 [3:26:03<4:14:34, 3.96s/it] {'lm_loss': '0.243', 'visual_loss': '2.74', 'seg_loss': '0.7383', 'dino_loss': '0.9156', 'depth_loss': '0.2468', 'vggt_mse_loss': '0.2455', 'vggt_cos_loss': '0.01353', 'pidinet_loss': '0.1822', 'siglip_loss': '0.6574', 'epoch': '0.1849'} + 57%|█████████████████▏ | 5141/9000 [3:26:06<4:14:34, 3.96s/it][Dataset] cur_step=5142 phase=C_full_covt +[Dataset] cur_step=5142 phase=C_full_covt +[Dataset] cur_step=5142 phase=C_full_covt +[Dataset] cur_step=5142 phase=C_full_covt[Dataset] cur_step=5142 phase=C_full_covt + +[Dataset] cur_step=5142 phase=C_full_covt + 57%|█████████████████▏ | 5142/9000 [3:26:07<4:11:32, 3.91s/it][Dataset] cur_step=5142 phase=C_full_covt +[Dataset] cur_step=5142 phase=C_full_covt + {'loss': '3.068', 'grad_norm': '2.541', 'learning_rate': '2.118e-05', 'epoch': '0.185'} + 57%|█████████████████▏ | 5142/9000 [3:26:07<4:11:32, 3.91s/it] {'lm_loss': '0.5873', 'visual_loss': '2.477', 'seg_loss': '0.6677', 'dino_loss': '0.9169', 'depth_loss': '0.2077', 'vggt_mse_loss': '0.2065', 'vggt_cos_loss': '0.01235', 'pidinet_loss': '0.2236', 'siglip_loss': '0.4609', 'epoch': '0.185'} + 57%|█████████████████▏ | 5142/9000 [3:26:10<4:11:32, 3.91s/it][Dataset] cur_step=5143 phase=C_full_covt +[Dataset] cur_step=5143 phase=C_full_covt[Dataset] cur_step=5143 phase=C_full_covt + +[Dataset] cur_step=5143 phase=C_full_covt + 57%|█████████████████▏ | 5143/9000 [3:26:10<4:08:02, 3.86s/it][Dataset] cur_step=5143 phase=C_full_covt +[Dataset] cur_step=5143 phase=C_full_covt[Dataset] cur_step=5143 phase=C_full_covt + +[Dataset] cur_step=5143 phase=C_full_covt + {'loss': '3.092', 'grad_norm': '3.432', 'learning_rate': '2.118e-05', 'epoch': '0.185'} + 57%|█████████████████▏ | 5143/9000 [3:26:10<4:08:02, 3.86s/it] {'lm_loss': '0.1898', 'visual_loss': '2.773', 'seg_loss': '0.7138', 'dino_loss': '0.8972', 'depth_loss': '0.2188', 'vggt_mse_loss': '0.2173', 'vggt_cos_loss': '0.01468', 'pidinet_loss': '0.2303', 'siglip_loss': '0.7126', 'epoch': '0.185'} + 57%|█████████████████▏ | 5143/9000 [3:26:13<4:08:02, 3.86s/it][Dataset] cur_step=5144 phase=C_full_covt +[Dataset] cur_step=5144 phase=C_full_covt +[Dataset] cur_step=5144 phase=C_full_covt[Dataset] cur_step=5144 phase=C_full_covt + +[Dataset] cur_step=5144 phase=C_full_covt[Dataset] cur_step=5144 phase=C_full_covt + +[Dataset] cur_step=5144 phase=C_full_covt 57%|█████████████████▏ | 5144/9000 [3:26:14<4:06:26, 3.83s/it] +[Dataset] cur_step=5144 phase=C_full_covt + {'loss': '3.144', 'grad_norm': '1.899', 'learning_rate': '2.117e-05', 'epoch': '0.1851'} + 57%|█████████████████▏ | 5144/9000 [3:26:14<4:06:26, 3.83s/it] {'lm_loss': '0.9651', 'visual_loss': '2.637', 'seg_loss': '0.695', 'dino_loss': '0.9112', 'depth_loss': '0.2305', 'vggt_mse_loss': '0.2291', 'vggt_cos_loss': '0.01408', 'pidinet_loss': '0.2371', 'siglip_loss': '0.5629', 'epoch': '0.1851'} + 57%|█████████████████▏ | 5144/9000 [3:26:17<4:06:26, 3.83s/it][Dataset] cur_step=5145 phase=C_full_covt +[Dataset] cur_step=5145 phase=C_full_covt + 57%|█████████████████▏ | 5145/9000 [3:26:18<4:09:49, 3.89s/it][Dataset] cur_step=5145 phase=C_full_covt +[Dataset] cur_step=5145 phase=C_full_covt +[Dataset] cur_step=5145 phase=C_full_covt +[Dataset] cur_step=5145 phase=C_full_covt +[Dataset] cur_step=5145 phase=C_full_covt +[Dataset] cur_step=5145 phase=C_full_covt + {'loss': '3.31', 'grad_norm': '2.65', 'learning_rate': '2.116e-05', 'epoch': '0.1851'} + 57%|█████████████████▏ | 5145/9000 [3:26:18<4:09:49, 3.89s/it] {'lm_loss': '0.5525', 'visual_loss': '2.506', 'seg_loss': '0.6326', 'dino_loss': '0.9251', 'depth_loss': '0.2232', 'vggt_mse_loss': '0.2216', 'vggt_cos_loss': '0.0161', 'pidinet_loss': '0.1935', 'siglip_loss': '0.5318', 'epoch': '0.1851'} + 57%|█████████████████▏ | 5145/9000 [3:26:21<4:09:49, 3.89s/it][Dataset] cur_step=5146 phase=C_full_covt +[Dataset] cur_step=5146 phase=C_full_covt[Dataset] cur_step=5146 phase=C_full_covt + + 57%|█████████████████▏ | 5146/9000 [3:26:22<4:10:33, 3.90s/it][Dataset] cur_step=5146 phase=C_full_covt +[Dataset] cur_step=5146 phase=C_full_covt +[Dataset] cur_step=5146 phase=C_full_covt[Dataset] cur_step=5146 phase=C_full_covt + +[Dataset] cur_step=5146 phase=C_full_covt + {'loss': '3.35', 'grad_norm': '2.014', 'learning_rate': '2.115e-05', 'epoch': '0.1851'} + 57%|█████████████████▏ | 5146/9000 [3:26:22<4:10:33, 3.90s/it] {'lm_loss': '0.3544', 'visual_loss': '2.914', 'seg_loss': '0.7112', 'dino_loss': '0.9191', 'depth_loss': '0.256', 'vggt_mse_loss': '0.2541', 'vggt_cos_loss': '0.0187', 'pidinet_loss': '0.2653', 'siglip_loss': '0.7626', 'epoch': '0.1851'} + 57%|█████████████████▏ | 5146/9000 [3:26:25<4:10:33, 3.90s/it][Dataset] cur_step=5147 phase=C_full_covt +[Dataset] cur_step=5147 phase=C_full_covt +[Dataset] cur_step=5147 phase=C_full_covt[Dataset] cur_step=5147 phase=C_full_covt + +[Dataset] cur_step=5147 phase=C_full_covt +[Dataset] cur_step=5147 phase=C_full_covt +[Dataset] cur_step=5147 phase=C_full_covt + 57%|█████████████████▏ | 5147/9000 [3:26:26<4:10:27, 3.90s/it][Dataset] cur_step=5147 phase=C_full_covt + {'loss': '3.209', 'grad_norm': '5.601', 'learning_rate': '2.114e-05', 'epoch': '0.1852'} + 57%|█████████████████▏ | 5147/9000 [3:26:26<4:10:27, 3.90s/it] {'lm_loss': '0.8538', 'visual_loss': '2.887', 'seg_loss': '0.8527', 'dino_loss': '0.9167', 'depth_loss': '0.1936', 'vggt_mse_loss': '0.1925', 'vggt_cos_loss': '0.01087', 'pidinet_loss': '0.1999', 'siglip_loss': '0.7242', 'epoch': '0.1852'} + 57%|█████████████████▏ | 5147/9000 [3:26:29<4:10:27, 3.90s/it][Dataset] cur_step=5148 phase=C_full_covt +[Dataset] cur_step=5148 phase=C_full_covt +[Dataset] cur_step=5148 phase=C_full_covt +[Dataset] cur_step=5148 phase=C_full_covt +[Dataset] cur_step=5148 phase=C_full_covt[Dataset] cur_step=5148 phase=C_full_covt + + 57%|█████████████████▏ | 5148/9000 [3:26:30<4:13:06, 3.94s/it][Dataset] cur_step=5148 phase=C_full_covt +[Dataset] cur_step=5148 phase=C_full_covt + {'loss': '3.121', 'grad_norm': '2.142', 'learning_rate': '2.113e-05', 'epoch': '0.1852'} + 57%|█████████████████▏ | 5148/9000 [3:26:30<4:13:06, 3.94s/it] {'lm_loss': '0.5217', 'visual_loss': '2.683', 'seg_loss': '0.7144', 'dino_loss': '0.9122', 'depth_loss': '0.308', 'vggt_mse_loss': '0.3059', 'vggt_cos_loss': '0.0217', 'pidinet_loss': '0.2311', 'siglip_loss': '0.5177', 'epoch': '0.1852'} + 57%|█████████████████▏ | 5148/9000 [3:26:33<4:13:06, 3.94s/it][Dataset] cur_step=5149 phase=C_full_covt +[Dataset] cur_step=5149 phase=C_full_covt +[Dataset] cur_step=5149 phase=C_full_covt +[Dataset] cur_step=5149 phase=C_full_covt +[Dataset] cur_step=5149 phase=C_full_covt[Dataset] cur_step=5149 phase=C_full_covt + +[Dataset] cur_step=5149 phase=C_full_covt +[Dataset] cur_step=5149 phase=C_full_covt + 57%|█████████████████▏ | 5149/9000 [3:26:34<4:13:50, 3.96s/it] {'loss': '3.169', 'grad_norm': '2.675', 'learning_rate': '2.112e-05', 'epoch': '0.1852'} + 57%|█████████████████▏ | 5149/9000 [3:26:34<4:13:50, 3.96s/it] {'lm_loss': '0.9128', 'visual_loss': '2.489', 'seg_loss': '0.7377', 'dino_loss': '0.8802', 'depth_loss': '0.225', 'vggt_mse_loss': '0.2236', 'vggt_cos_loss': '0.01392', 'pidinet_loss': '0.2069', 'siglip_loss': '0.4391', 'epoch': '0.1852'} + 57%|█████████████████▏ | 5149/9000 [3:26:37<4:13:50, 3.96s/it][Dataset] cur_step=5150 phase=C_full_covt +[Dataset] cur_step=5150 phase=C_full_covt[Dataset] cur_step=5150 phase=C_full_covt + +[Dataset] cur_step=5150 phase=C_full_covt +[Dataset] cur_step=5150 phase=C_full_covt +[Dataset] cur_step=5150 phase=C_full_covt 57%|█████████████████▏ | 5150/9000 [3:26:38<4:12:57, 3.94s/it] +[Dataset] cur_step=5150 phase=C_full_covt +[Dataset] cur_step=5150 phase=C_full_covt + {'loss': '3.023', 'grad_norm': '2.204', 'learning_rate': '2.111e-05', 'epoch': '0.1853'} + 57%|█████████████████▏ | 5150/9000 [3:26:38<4:12:57, 3.94s/it] {'lm_loss': '0.3272', 'visual_loss': '2.695', 'seg_loss': '0.7935', 'dino_loss': '0.9082', 'depth_loss': '0.2712', 'vggt_mse_loss': '0.2693', 'vggt_cos_loss': '0.01926', 'pidinet_loss': '0.2511', 'siglip_loss': '0.4705', 'epoch': '0.1853'} + 57%|█████████████████▏ | 5150/9000 [3:26:41<4:12:57, 3.94s/it][Dataset] cur_step=5151 phase=C_full_covt +[Dataset] cur_step=5151 phase=C_full_covt +[Dataset] cur_step=5151 phase=C_full_covt[Dataset] cur_step=5151 phase=C_full_covt +[Dataset] cur_step=5151 phase=C_full_covt + +[Dataset] cur_step=5151 phase=C_full_covt + 57%|█████████████████▏ | 5151/9000 [3:26:42<4:16:49, 4.00s/it][Dataset] cur_step=5151 phase=C_full_covt[Dataset] cur_step=5151 phase=C_full_covt + + {'loss': '3.133', 'grad_norm': '3.007', 'learning_rate': '2.11e-05', 'epoch': '0.1853'} + 57%|█████████████████▏ | 5151/9000 [3:26:42<4:16:49, 4.00s/it] {'lm_loss': '0.6221', 'visual_loss': '2.617', 'seg_loss': '0.7715', 'dino_loss': '0.9099', 'depth_loss': '0.2427', 'vggt_mse_loss': '0.241', 'vggt_cos_loss': '0.01749', 'pidinet_loss': '0.213', 'siglip_loss': '0.4795', 'epoch': '0.1853'} + 57%|█████████████████▏ | 5151/9000 [3:26:45<4:16:49, 4.00s/it][Dataset] cur_step=5152 phase=C_full_covt +[Dataset] cur_step=5152 phase=C_full_covt +[Dataset] cur_step=5152 phase=C_full_covt +[Dataset] cur_step=5152 phase=C_full_covt +[Dataset] cur_step=5152 phase=C_full_covt +[Dataset] cur_step=5152 phase=C_full_covt +[Dataset] cur_step=5152 phase=C_full_covt 57%|█████████████████▏ | 5152/9000 [3:26:46<4:25:59, 4.15s/it] +[Dataset] cur_step=5152 phase=C_full_covt + {'loss': '2.889', 'grad_norm': '2.222', 'learning_rate': '2.109e-05', 'epoch': '0.1853'} + 57%|█████████████████▏ | 5152/9000 [3:26:46<4:25:59, 4.15s/it] {'lm_loss': '0.667', 'visual_loss': '2.894', 'seg_loss': '0.6859', 'dino_loss': '0.9302', 'depth_loss': '0.3338', 'vggt_mse_loss': '0.3314', 'vggt_cos_loss': '0.02365', 'pidinet_loss': '0.2476', 'siglip_loss': '0.6968', 'epoch': '0.1853'} + 57%|█████████████████▏ | 5152/9000 [3:26:50<4:25:59, 4.15s/it][Dataset] cur_step=5153 phase=C_full_covt +[Dataset] cur_step=5153 phase=C_full_covt +[Dataset] cur_step=5153 phase=C_full_covt + 57%|█████████████████▏ | 5153/9000 [3:26:51<4:26:40, 4.16s/it][Dataset] cur_step=5153 phase=C_full_covt +[Dataset] cur_step=5153 phase=C_full_covt +[Dataset] cur_step=5153 phase=C_full_covt +[Dataset] cur_step=5153 phase=C_full_covt +[Dataset] cur_step=5153 phase=C_full_covt + {'loss': '3.28', 'grad_norm': '3.658', 'learning_rate': '2.108e-05', 'epoch': '0.1854'} + 57%|█████████████████▏ | 5153/9000 [3:26:51<4:26:40, 4.16s/it] {'lm_loss': '0.4399', 'visual_loss': '2.926', 'seg_loss': '0.8726', 'dino_loss': '0.9197', 'depth_loss': '0.2807', 'vggt_mse_loss': '0.2792', 'vggt_cos_loss': '0.01441', 'pidinet_loss': '0.2411', 'siglip_loss': '0.6115', 'epoch': '0.1854'} + 57%|█████████████████▏ | 5153/9000 [3:26:54<4:26:40, 4.16s/it][Dataset] cur_step=5154 phase=C_full_covt +[Dataset] cur_step=5154 phase=C_full_covt[Dataset] cur_step=5154 phase=C_full_covt + +[Dataset] cur_step=5154 phase=C_full_covt +[Dataset] cur_step=5154 phase=C_full_covt[Dataset] cur_step=5154 phase=C_full_covt + +[Dataset] cur_step=5154 phase=C_full_covt + 57%|█████████████████▏ | 5154/9000 [3:26:55<4:20:43, 4.07s/it][Dataset] cur_step=5154 phase=C_full_covt + {'loss': '3.192', 'grad_norm': '4.869', 'learning_rate': '2.108e-05', 'epoch': '0.1854'} + 57%|█████████████████▏ | 5154/9000 [3:26:55<4:20:43, 4.07s/it] {'lm_loss': '0.03092', 'visual_loss': '2.541', 'seg_loss': '0.8234', 'dino_loss': '0.8766', 'depth_loss': '0.3055', 'vggt_mse_loss': '0.3038', 'vggt_cos_loss': '0.01714', 'pidinet_loss': '0.1899', 'siglip_loss': '0.3454', 'epoch': '0.1854'} + 57%|█████████████████▏ | 5154/9000 [3:26:58<4:20:43, 4.07s/it][Dataset] cur_step=5155 phase=C_full_covt[Dataset] cur_step=5155 phase=C_full_covt + +[Dataset] cur_step=5155 phase=C_full_covt +[Dataset] cur_step=5155 phase=C_full_covt[Dataset] cur_step=5155 phase=C_full_covt +[Dataset] cur_step=5155 phase=C_full_covt[Dataset] cur_step=5155 phase=C_full_covt + + + 57%|█████████████████▏ | 5155/9000 [3:26:59<4:23:36, 4.11s/it][Dataset] cur_step=5155 phase=C_full_covt + {'loss': '2.909', 'grad_norm': '1.963', 'learning_rate': '2.107e-05', 'epoch': '0.1855'} + 57%|█████████████████▏ | 5155/9000 [3:26:59<4:23:36, 4.11s/it] {'lm_loss': '0.4584', 'visual_loss': '3.077', 'seg_loss': '0.703', 'dino_loss': '0.9281', 'depth_loss': '0.2523', 'vggt_mse_loss': '0.2504', 'vggt_cos_loss': '0.01831', 'pidinet_loss': '0.2899', 'siglip_loss': '0.9035', 'epoch': '0.1855'} + 57%|█████████████████▏ | 5155/9000 [3:27:02<4:23:36, 4.11s/it][Dataset] cur_step=5156 phase=C_full_covt +[Dataset] cur_step=5156 phase=C_full_covt +[Dataset] cur_step=5156 phase=C_full_covt +[Dataset] cur_step=5156 phase=C_full_covt +[Dataset] cur_step=5156 phase=C_full_covt[Dataset] cur_step=5156 phase=C_full_covt + +[Dataset] cur_step=5156 phase=C_full_covt + 57%|█████████████████▏ | 5156/9000 [3:27:02<4:16:27, 4.00s/it][Dataset] cur_step=5156 phase=C_full_covt + {'loss': '3.037', 'grad_norm': '1.48', 'learning_rate': '2.106e-05', 'epoch': '0.1855'} + 57%|█████████████████▏ | 5156/9000 [3:27:02<4:16:27, 4.00s/it] {'lm_loss': '0.496', 'visual_loss': '2.625', 'seg_loss': '0.6516', 'dino_loss': '0.9258', 'depth_loss': '0.277', 'vggt_mse_loss': '0.2745', 'vggt_cos_loss': '0.02446', 'pidinet_loss': '0.2855', 'siglip_loss': '0.4854', 'epoch': '0.1855'} + 57%|█████████████████▏ | 5156/9000 [3:27:06<4:16:27, 4.00s/it][Dataset] cur_step=5157 phase=C_full_covt[Dataset] cur_step=5157 phase=C_full_covt[Dataset] cur_step=5157 phase=C_full_covt + + + 57%|█████████████████▏ | 5157/9000 [3:27:07<4:19:48, 4.06s/it][Dataset] cur_step=5157 phase=C_full_covt +[Dataset] cur_step=5157 phase=C_full_covt +[Dataset] cur_step=5157 phase=C_full_covt +[Dataset] cur_step=5157 phase=C_full_covt +[Dataset] cur_step=5157 phase=C_full_covt + {'loss': '3.223', 'grad_norm': '2.13', 'learning_rate': '2.105e-05', 'epoch': '0.1855'} + 57%|█████████████████▏ | 5157/9000 [3:27:07<4:19:48, 4.06s/it] {'lm_loss': '0.5286', 'visual_loss': '2.715', 'seg_loss': '0.807', 'dino_loss': '0.9217', 'depth_loss': '0.2689', 'vggt_mse_loss': '0.2669', 'vggt_cos_loss': '0.01998', 'pidinet_loss': '0.243', 'siglip_loss': '0.4743', 'epoch': '0.1855'} + 57%|█████████████████▏ | 5157/9000 [3:27:10<4:19:48, 4.06s/it][Dataset] cur_step=5158 phase=C_full_covt +[Dataset] cur_step=5158 phase=C_full_covt +[Dataset] cur_step=5158 phase=C_full_covt[Dataset] cur_step=5158 phase=C_full_covt + +[Dataset] cur_step=5158 phase=C_full_covt[Dataset] cur_step=5158 phase=C_full_covt + +[Dataset] cur_step=5158 phase=C_full_covt 57%|█████████████████▏ | 5158/9000 [3:27:11<4:16:03, 4.00s/it] +[Dataset] cur_step=5158 phase=C_full_covt + {'loss': '3.321', 'grad_norm': '2.613', 'learning_rate': '2.104e-05', 'epoch': '0.1856'} + 57%|█████████████████▏ | 5158/9000 [3:27:11<4:16:03, 4.00s/it] {'lm_loss': '0.6944', 'visual_loss': '2.441', 'seg_loss': '0.6742', 'dino_loss': '0.9043', 'depth_loss': '0.2785', 'vggt_mse_loss': '0.2768', 'vggt_cos_loss': '0.01657', 'pidinet_loss': '0.2185', 'siglip_loss': '0.3659', 'epoch': '0.1856'} + 57%|█████████████████▏ | 5158/9000 [3:27:14<4:16:03, 4.00s/it][Dataset] cur_step=5159 phase=C_full_covt +[Dataset] cur_step=5159 phase=C_full_covt +[Dataset] cur_step=5159 phase=C_full_covt +[Dataset] cur_step=5159 phase=C_full_covt +[Dataset] cur_step=5159 phase=C_full_covt +[Dataset] cur_step=5159 phase=C_full_covt +[Dataset] cur_step=5159 phase=C_full_covt +[Dataset] cur_step=5159 phase=C_full_covt + 57%|█████████████████▏ | 5159/9000 [3:27:14<4:13:50, 3.97s/it] {'loss': '3.181', 'grad_norm': '2.899', 'learning_rate': '2.103e-05', 'epoch': '0.1856'} + 57%|█████████████████▏ | 5159/9000 [3:27:14<4:13:50, 3.97s/it] {'lm_loss': '0.01251', 'visual_loss': '2.395', 'seg_loss': '0.5905', 'dino_loss': '0.897', 'depth_loss': '0.2311', 'vggt_mse_loss': '0.2298', 'vggt_cos_loss': '0.01294', 'pidinet_loss': '0.1814', 'siglip_loss': '0.4948', 'epoch': '0.1856'} + 57%|█████████████████▏ | 5159/9000 [3:27:18<4:13:50, 3.97s/it][Dataset] cur_step=5160 phase=C_full_covt + 57%|█████████████████▏ | 5160/9000 [3:27:19<4:18:40, 4.04s/it][Dataset] cur_step=5160 phase=C_full_covt[Dataset] cur_step=5160 phase=C_full_covt + +[Dataset] cur_step=5160 phase=C_full_covt +[Dataset] cur_step=5160 phase=C_full_covt +[Dataset] cur_step=5160 phase=C_full_covt +[Dataset] cur_step=5160 phase=C_full_covt +[Dataset] cur_step=5160 phase=C_full_covt + {'loss': '3.214', 'grad_norm': '2.772', 'learning_rate': '2.102e-05', 'epoch': '0.1856'} + 57%|█████████████████▏ | 5160/9000 [3:27:19<4:18:40, 4.04s/it] {'lm_loss': '0.9082', 'visual_loss': '3.036', 'seg_loss': '0.7813', 'dino_loss': '0.9507', 'depth_loss': '0.177', 'vggt_mse_loss': '0.1759', 'vggt_cos_loss': '0.01179', 'pidinet_loss': '0.2107', 'siglip_loss': '0.9158', 'epoch': '0.1856'} + 57%|█████████████████▏ | 5160/9000 [3:27:22<4:18:40, 4.04s/it][Dataset] cur_step=5161 phase=C_full_covt +[Dataset] cur_step=5161 phase=C_full_covt +[Dataset] cur_step=5161 phase=C_full_covt[Dataset] cur_step=5161 phase=C_full_covt + +[Dataset] cur_step=5161 phase=C_full_covt + 57%|█████████████████▏ | 5161/9000 [3:27:22<4:12:59, 3.95s/it][Dataset] cur_step=5161 phase=C_full_covt +[Dataset] cur_step=5161 phase=C_full_covt +[Dataset] cur_step=5161 phase=C_full_covt + {'loss': '3.126', 'grad_norm': '1.612', 'learning_rate': '2.101e-05', 'epoch': '0.1857'} + 57%|█████████████████▏ | 5161/9000 [3:27:22<4:12:59, 3.95s/it] {'lm_loss': '0.2456', 'visual_loss': '2.902', 'seg_loss': '0.753', 'dino_loss': '0.9081', 'depth_loss': '0.3248', 'vggt_mse_loss': '0.3227', 'vggt_cos_loss': '0.02095', 'pidinet_loss': '0.2894', 'siglip_loss': '0.6263', 'epoch': '0.1857'} + 57%|█████████████████▏ | 5161/9000 [3:27:26<4:12:59, 3.95s/it][Dataset] cur_step=5162 phase=C_full_covt +[Dataset] cur_step=5162 phase=C_full_covt +[Dataset] cur_step=5162 phase=C_full_covt +[Dataset] cur_step=5162 phase=C_full_covt +[Dataset] cur_step=5162 phase=C_full_covt +[Dataset] cur_step=5162 phase=C_full_covt +[Dataset] cur_step=5162 phase=C_full_covt + 57%|█████████████████▏ | 5162/9000 [3:27:26<4:11:53, 3.94s/it][Dataset] cur_step=5162 phase=C_full_covt + {'loss': '2.977', 'grad_norm': '21.22', 'learning_rate': '2.1e-05', 'epoch': '0.1857'} + 57%|█████████████████▏ | 5162/9000 [3:27:26<4:11:53, 3.94s/it] {'lm_loss': '0.7226', 'visual_loss': '2.699', 'seg_loss': '0.7633', 'dino_loss': '0.9183', 'depth_loss': '0.2113', 'vggt_mse_loss': '0.2099', 'vggt_cos_loss': '0.0135', 'pidinet_loss': '0.2544', 'siglip_loss': '0.5516', 'epoch': '0.1857'} + 57%|█████████████████▏ | 5162/9000 [3:27:29<4:11:53, 3.94s/it][Dataset] cur_step=5163 phase=C_full_covt[Dataset] cur_step=5163 phase=C_full_covt + +[Dataset] cur_step=5163 phase=C_full_covt[Dataset] cur_step=5163 phase=C_full_covt + +[Dataset] cur_step=5163 phase=C_full_covt +[Dataset] cur_step=5163 phase=C_full_covt +[Dataset] cur_step=5163 phase=C_full_covt + 57%|█████████████████▏ | 5163/9000 [3:27:30<4:09:43, 3.90s/it][Dataset] cur_step=5163 phase=C_full_covt + {'loss': '3.193', 'grad_norm': '2.085', 'learning_rate': '2.099e-05', 'epoch': '0.1857'} + 57%|█████████████████▏ | 5163/9000 [3:27:30<4:09:43, 3.90s/it] {'lm_loss': '0.579', 'visual_loss': '2.845', 'seg_loss': '0.7918', 'dino_loss': '0.9165', 'depth_loss': '0.3516', 'vggt_mse_loss': '0.3499', 'vggt_cos_loss': '0.01716', 'pidinet_loss': '0.2307', 'siglip_loss': '0.5544', 'epoch': '0.1857'} + 57%|█████████████████▏ | 5163/9000 [3:27:34<4:09:43, 3.90s/it][Dataset] cur_step=5164 phase=C_full_covt +[Dataset] cur_step=5164 phase=C_full_covt[Dataset] cur_step=5164 phase=C_full_covt +[Dataset] cur_step=5164 phase=C_full_covt[Dataset] cur_step=5164 phase=C_full_covt + + + 57%|█████████████████▏ | 5164/9000 [3:27:34<4:14:29, 3.98s/it][Dataset] cur_step=5164 phase=C_full_covt[Dataset] cur_step=5164 phase=C_full_covt + +[Dataset] cur_step=5164 phase=C_full_covt + {'loss': '3.398', 'grad_norm': '2.67', 'learning_rate': '2.098e-05', 'epoch': '0.1858'} + 57%|█████████████████▏ | 5164/9000 [3:27:34<4:14:29, 3.98s/it] {'lm_loss': '0.5991', 'visual_loss': '2.756', 'seg_loss': '0.6576', 'dino_loss': '0.9195', 'depth_loss': '0.2864', 'vggt_mse_loss': '0.2845', 'vggt_cos_loss': '0.01856', 'pidinet_loss': '0.2326', 'siglip_loss': '0.6597', 'epoch': '0.1858'} + 57%|█████████████████▏ | 5164/9000 [3:27:40<4:14:29, 3.98s/it][Dataset] cur_step=5165 phase=C_full_covt +[Dataset] cur_step=5165 phase=C_full_covt 57%|█████████████████▏ | 5165/9000 [3:27:41<5:03:36, 4.75s/it] +[Dataset] cur_step=5165 phase=C_full_covt[Dataset] cur_step=5165 phase=C_full_covt + +[Dataset] cur_step=5165 phase=C_full_covt +[Dataset] cur_step=5165 phase=C_full_covt +[Dataset] cur_step=5165 phase=C_full_covt +[Dataset] cur_step=5165 phase=C_full_covt + {'loss': '3.271', 'grad_norm': '11.04', 'learning_rate': '2.098e-05', 'epoch': '0.1858'} + 57%|█████████████████▏ | 5165/9000 [3:27:41<5:03:36, 4.75s/it] {'lm_loss': '0.7787', 'visual_loss': '2.478', 'seg_loss': '0.6145', 'dino_loss': '0.8915', 'depth_loss': '0.2175', 'vggt_mse_loss': '0.2162', 'vggt_cos_loss': '0.01297', 'pidinet_loss': '0.269', 'siglip_loss': '0.4858', 'epoch': '0.1858'} + 57%|█████████████████▏ | 5165/9000 [3:27:44<5:03:36, 4.75s/it][Dataset] cur_step=5166 phase=C_full_covt + 57%|█████████████████▏ | 5166/9000 [3:27:45<4:51:53, 4.57s/it][Dataset] cur_step=5166 phase=C_full_covt +[Dataset] cur_step=5166 phase=C_full_covt +[Dataset] cur_step=5166 phase=C_full_covt[Dataset] cur_step=5166 phase=C_full_covt +[Dataset] cur_step=5166 phase=C_full_covt + +[Dataset] cur_step=5166 phase=C_full_covt +[Dataset] cur_step=5166 phase=C_full_covt + {'loss': '3.096', 'grad_norm': '2.504', 'learning_rate': '2.097e-05', 'epoch': '0.1858'} + 57%|█████████████████▏ | 5166/9000 [3:27:45<4:51:53, 4.57s/it] {'lm_loss': '0.8531', 'visual_loss': '3.037', 'seg_loss': '0.8396', 'dino_loss': '0.9031', 'depth_loss': '0.3419', 'vggt_mse_loss': '0.3396', 'vggt_cos_loss': '0.02316', 'pidinet_loss': '0.2179', 'siglip_loss': '0.7342', 'epoch': '0.1858'} + 57%|█████████████████▏ | 5166/9000 [3:27:48<4:51:53, 4.57s/it][Dataset] cur_step=5167 phase=C_full_covt +[Dataset] cur_step=5167 phase=C_full_covt +[Dataset] cur_step=5167 phase=C_full_covt +[Dataset] cur_step=5167 phase=C_full_covt +[Dataset] cur_step=5167 phase=C_full_covt +[Dataset] cur_step=5167 phase=C_full_covt + 57%|█████████████████▏ | 5167/9000 [3:27:49<4:41:41, 4.41s/it][Dataset] cur_step=5167 phase=C_full_covt +[Dataset] cur_step=5167 phase=C_full_covt + {'loss': '3.239', 'grad_norm': '2.142', 'learning_rate': '2.096e-05', 'epoch': '0.1859'} + 57%|█████████████████▏ | 5167/9000 [3:27:49<4:41:41, 4.41s/it] {'lm_loss': '0.8098', 'visual_loss': '2.537', 'seg_loss': '0.7064', 'dino_loss': '0.9129', 'depth_loss': '0.2907', 'vggt_mse_loss': '0.2887', 'vggt_cos_loss': '0.02052', 'pidinet_loss': '0.1916', 'siglip_loss': '0.4351', 'epoch': '0.1859'} + 57%|█████████████████▏ | 5167/9000 [3:27:52<4:41:41, 4.41s/it][Dataset] cur_step=5168 phase=C_full_covt[Dataset] cur_step=5168 phase=C_full_covt + +[Dataset] cur_step=5168 phase=C_full_covt[Dataset] cur_step=5168 phase=C_full_covt + +[Dataset] cur_step=5168 phase=C_full_covt +[Dataset] cur_step=5168 phase=C_full_covt[Dataset] cur_step=5168 phase=C_full_covt + +[Dataset] cur_step=5168 phase=C_full_covt + 57%|█████████████████▏ | 5168/9000 [3:27:53<4:28:46, 4.21s/it] {'loss': '3.381', 'grad_norm': '10.59', 'learning_rate': '2.095e-05', 'epoch': '0.1859'} + 57%|█████████████████▏ | 5168/9000 [3:27:53<4:28:46, 4.21s/it] {'lm_loss': '0.4656', 'visual_loss': '2.571', 'seg_loss': '0.7373', 'dino_loss': '0.8886', 'depth_loss': '0.2942', 'vggt_mse_loss': '0.2919', 'vggt_cos_loss': '0.02225', 'pidinet_loss': '0.1867', 'siglip_loss': '0.4647', 'epoch': '0.1859'} + 57%|█████████████████▏ | 5168/9000 [3:27:57<4:28:46, 4.21s/it][Dataset] cur_step=5169 phase=C_full_covt +[Dataset] cur_step=5169 phase=C_full_covt[Dataset] cur_step=5169 phase=C_full_covt +[Dataset] cur_step=5169 phase=C_full_covt[Dataset] cur_step=5169 phase=C_full_covt + + +[Dataset] cur_step=5169 phase=C_full_covt 57%|█████████████████▏ | 5169/9000 [3:27:57<4:29:26, 4.22s/it] +[Dataset] cur_step=5169 phase=C_full_covt +[Dataset] cur_step=5169 phase=C_full_covt + {'loss': '3.257', 'grad_norm': '6.269', 'learning_rate': '2.094e-05', 'epoch': '0.186'} + 57%|█████████████████▏ | 5169/9000 [3:27:57<4:29:26, 4.22s/it] {'lm_loss': '0.9259', 'visual_loss': '2.791', 'seg_loss': '0.8152', 'dino_loss': '0.9261', 'depth_loss': '0.2517', 'vggt_mse_loss': '0.2497', 'vggt_cos_loss': '0.01956', 'pidinet_loss': '0.248', 'siglip_loss': '0.5503', 'epoch': '0.186'} + 57%|█████████████████▏ | 5169/9000 [3:28:00<4:29:26, 4.22s/it][Dataset] cur_step=5170 phase=C_full_covt +[Dataset] cur_step=5170 phase=C_full_covt +[Dataset] cur_step=5170 phase=C_full_covt + 57%|█████████████████▏ | 5170/9000 [3:28:01<4:23:57, 4.14s/it][Dataset] cur_step=5170 phase=C_full_covt +[Dataset] cur_step=5170 phase=C_full_covt +[Dataset] cur_step=5170 phase=C_full_covt +[Dataset] cur_step=5170 phase=C_full_covt +[Dataset] cur_step=5170 phase=C_full_covt + {'loss': '3.222', 'grad_norm': '2.67', 'learning_rate': '2.093e-05', 'epoch': '0.186'} + 57%|█████████████████▏ | 5170/9000 [3:28:01<4:23:57, 4.14s/it] {'lm_loss': '0.001572', 'visual_loss': '2.411', 'seg_loss': '0.6326', 'dino_loss': '0.9208', 'depth_loss': '0.1949', 'vggt_mse_loss': '0.1938', 'vggt_cos_loss': '0.01134', 'pidinet_loss': '0.2294', 'siglip_loss': '0.4337', 'epoch': '0.186'} + 57%|█████████████████▏ | 5170/9000 [3:28:04<4:23:57, 4.14s/it][Dataset] cur_step=5171 phase=C_full_covt[Dataset] cur_step=5171 phase=C_full_covt + +[Dataset] cur_step=5171 phase=C_full_covt[Dataset] cur_step=5171 phase=C_full_covt +[Dataset] cur_step=5171 phase=C_full_covt +[Dataset] cur_step=5171 phase=C_full_covt + + 57%|█████████████████▏ | 5171/9000 [3:28:05<4:17:41, 4.04s/it][Dataset] cur_step=5171 phase=C_full_covt +[Dataset] cur_step=5171 phase=C_full_covt + {'loss': '3.126', 'grad_norm': '2.117', 'learning_rate': '2.092e-05', 'epoch': '0.186'} + 57%|█████████████████▏ | 5171/9000 [3:28:05<4:17:41, 4.04s/it] {'lm_loss': '0.4868', 'visual_loss': '2.853', 'seg_loss': '0.6561', 'dino_loss': '0.9155', 'depth_loss': '0.3021', 'vggt_mse_loss': '0.3003', 'vggt_cos_loss': '0.01852', 'pidinet_loss': '0.2653', 'siglip_loss': '0.7141', 'epoch': '0.186'} + 57%|█████████████████▏ | 5171/9000 [3:28:08<4:17:41, 4.04s/it][Dataset] cur_step=5172 phase=C_full_covt +[Dataset] cur_step=5172 phase=C_full_covt +[Dataset] cur_step=5172 phase=C_full_covt +[Dataset] cur_step=5172 phase=C_full_covt +[Dataset] cur_step=5172 phase=C_full_covt + 57%|█████████████████▏ | 5172/9000 [3:28:09<4:18:50, 4.06s/it][Dataset] cur_step=5172 phase=C_full_covt +[Dataset] cur_step=5172 phase=C_full_covt +[Dataset] cur_step=5172 phase=C_full_covt + {'loss': '3.052', 'grad_norm': '2.131', 'learning_rate': '2.091e-05', 'epoch': '0.1861'} + 57%|█████████████████▏ | 5172/9000 [3:28:09<4:18:50, 4.06s/it] {'lm_loss': '0.8064', 'visual_loss': '2.831', 'seg_loss': '0.6971', 'dino_loss': '0.9339', 'depth_loss': '0.1862', 'vggt_mse_loss': '0.1848', 'vggt_cos_loss': '0.01365', 'pidinet_loss': '0.2968', 'siglip_loss': '0.7168', 'epoch': '0.1861'} + 57%|█████████████████▏ | 5172/9000 [3:28:12<4:18:50, 4.06s/it][Dataset] cur_step=5173 phase=C_full_covt +[Dataset] cur_step=5173 phase=C_full_covt +[Dataset] cur_step=5173 phase=C_full_covt +[Dataset] cur_step=5173 phase=C_full_covt +[Dataset] cur_step=5173 phase=C_full_covt +[Dataset] cur_step=5173 phase=C_full_covt +[Dataset] cur_step=5173 phase=C_full_covt +[Dataset] cur_step=5173 phase=C_full_covt + 57%|█████████████████▏ | 5173/9000 [3:28:13<4:18:37, 4.05s/it] {'loss': '3.151', 'grad_norm': '3.39', 'learning_rate': '2.09e-05', 'epoch': '0.1861'} + 57%|█████████████████▏ | 5173/9000 [3:28:13<4:18:37, 4.05s/it] {'lm_loss': '0.6905', 'visual_loss': '2.853', 'seg_loss': '0.7093', 'dino_loss': '0.9233', 'depth_loss': '0.3683', 'vggt_mse_loss': '0.3659', 'vggt_cos_loss': '0.02435', 'pidinet_loss': '0.2685', 'siglip_loss': '0.5838', 'epoch': '0.1861'} + 57%|█████████████████▏ | 5173/9000 [3:28:16<4:18:37, 4.05s/it][Dataset] cur_step=5174 phase=C_full_covt[Dataset] cur_step=5174 phase=C_full_covt + +[Dataset] cur_step=5174 phase=C_full_covt +[Dataset] cur_step=5174 phase=C_full_covt[Dataset] cur_step=5174 phase=C_full_covt + +[Dataset] cur_step=5174 phase=C_full_covt[Dataset] cur_step=5174 phase=C_full_covt + + 57%|█████████████████▏ | 5174/9000 [3:28:17<4:14:47, 4.00s/it][Dataset] cur_step=5174 phase=C_full_covt + {'loss': '3.327', 'grad_norm': '2.705', 'learning_rate': '2.089e-05', 'epoch': '0.1861'} + 57%|█████████████████▏ | 5174/9000 [3:28:17<4:14:47, 4.00s/it] {'lm_loss': '0.499', 'visual_loss': '2.786', 'seg_loss': '0.8307', 'dino_loss': '0.9168', 'depth_loss': '0.2321', 'vggt_mse_loss': '0.2305', 'vggt_cos_loss': '0.0167', 'pidinet_loss': '0.2566', 'siglip_loss': '0.5502', 'epoch': '0.1861'} + 57%|█████████████████▏ | 5174/9000 [3:28:20<4:14:47, 4.00s/it][Dataset] cur_step=5175 phase=C_full_covt +[Dataset] cur_step=5175 phase=C_full_covt[Dataset] cur_step=5175 phase=C_full_covt + +[Dataset] cur_step=5175 phase=C_full_covt +[Dataset] cur_step=5175 phase=C_full_covt +[Dataset] cur_step=5175 phase=C_full_covt +[Dataset] cur_step=5175 phase=C_full_covt +[Dataset] cur_step=5175 phase=C_full_covt + 57%|█████████████████▎ | 5175/9000 [3:28:21<4:13:11, 3.97s/it] {'loss': '2.916', 'grad_norm': '24.72', 'learning_rate': '2.089e-05', 'epoch': '0.1862'} + 57%|█████████████████▎ | 5175/9000 [3:28:21<4:13:11, 3.97s/it] {'lm_loss': '0.6027', 'visual_loss': '2.838', 'seg_loss': '0.8497', 'dino_loss': '0.925', 'depth_loss': '0.2416', 'vggt_mse_loss': '0.24', 'vggt_cos_loss': '0.01602', 'pidinet_loss': '0.2077', 'siglip_loss': '0.6141', 'epoch': '0.1862'} + 57%|█████████████████▎ | 5175/9000 [3:28:24<4:13:11, 3.97s/it][Dataset] cur_step=5176 phase=C_full_covt +[Dataset] cur_step=5176 phase=C_full_covt +[Dataset] cur_step=5176 phase=C_full_covt[Dataset] cur_step=5176 phase=C_full_covt + +[Dataset] cur_step=5176 phase=C_full_covt +[Dataset] cur_step=5176 phase=C_full_covt +[Dataset] cur_step=5176 phase=C_full_covt +[Dataset] cur_step=5176 phase=C_full_covt + 58%|█████████████████▎ | 5176/9000 [3:28:25<4:20:09, 4.08s/it] {'loss': '2.96', 'grad_norm': '3.989', 'learning_rate': '2.088e-05', 'epoch': '0.1862'} + 58%|█████████████████▎ | 5176/9000 [3:28:25<4:20:09, 4.08s/it] {'lm_loss': '0.2145', 'visual_loss': '3.016', 'seg_loss': '0.8288', 'dino_loss': '0.9012', 'depth_loss': '0.2281', 'vggt_mse_loss': '0.2262', 'vggt_cos_loss': '0.0181', 'pidinet_loss': '0.2492', 'siglip_loss': '0.8084', 'epoch': '0.1862'} + 58%|█████████████████▎ | 5176/9000 [3:28:28<4:20:09, 4.08s/it][Dataset] cur_step=5177 phase=C_full_covt +[Dataset] cur_step=5177 phase=C_full_covt +[Dataset] cur_step=5177 phase=C_full_covt +[Dataset] cur_step=5177 phase=C_full_covt +[Dataset] cur_step=5177 phase=C_full_covt +[Dataset] cur_step=5177 phase=C_full_covt +[Dataset] cur_step=5177 phase=C_full_covt +[Dataset] cur_step=5177 phase=C_full_covt + 58%|█████████████████▎ | 5177/9000 [3:28:29<4:20:05, 4.08s/it] {'loss': '3.31', 'grad_norm': '2.365', 'learning_rate': '2.087e-05', 'epoch': '0.1862'} + 58%|█████████████████▎ | 5177/9000 [3:28:29<4:20:05, 4.08s/it] {'lm_loss': '0.01565', 'visual_loss': '2.541', 'seg_loss': '0.6924', 'dino_loss': '0.9089', 'depth_loss': '0.2717', 'vggt_mse_loss': '0.2697', 'vggt_cos_loss': '0.02033', 'pidinet_loss': '0.2288', 'siglip_loss': '0.4393', 'epoch': '0.1862'} + 58%|█████████████████▎ | 5177/9000 [3:28:32<4:20:05, 4.08s/it][Dataset] cur_step=5178 phase=C_full_covt +[Dataset] cur_step=5178 phase=C_full_covt +[Dataset] cur_step=5178 phase=C_full_covt +[Dataset] cur_step=5178 phase=C_full_covt +[Dataset] cur_step=5178 phase=C_full_covt + 58%|█████████████████▎ | 5178/9000 [3:28:33<4:14:54, 4.00s/it][Dataset] cur_step=5178 phase=C_full_covt +[Dataset] cur_step=5178 phase=C_full_covt +[Dataset] cur_step=5178 phase=C_full_covt + {'loss': '3.202', 'grad_norm': '2.471', 'learning_rate': '2.086e-05', 'epoch': '0.1863'} + 58%|█████████████████▎ | 5178/9000 [3:28:33<4:14:54, 4.00s/it] {'lm_loss': '1.143', 'visual_loss': '2.818', 'seg_loss': '0.7806', 'dino_loss': '0.927', 'depth_loss': '0.3005', 'vggt_mse_loss': '0.2981', 'vggt_cos_loss': '0.02353', 'pidinet_loss': '0.2829', 'siglip_loss': '0.5265', 'epoch': '0.1863'} + 58%|█████████████████▎ | 5178/9000 [3:28:36<4:14:54, 4.00s/it][Dataset] cur_step=5179 phase=C_full_covt +[Dataset] cur_step=5179 phase=C_full_covt[Dataset] cur_step=5179 phase=C_full_covt +[Dataset] cur_step=5179 phase=C_full_covt +[Dataset] cur_step=5179 phase=C_full_covt + + 58%|█████████████████▎ | 5179/9000 [3:28:37<4:12:12, 3.96s/it][Dataset] cur_step=5179 phase=C_full_covt +[Dataset] cur_step=5179 phase=C_full_covt +[Dataset] cur_step=5179 phase=C_full_covt + {'loss': '3.103', 'grad_norm': '1.708', 'learning_rate': '2.085e-05', 'epoch': '0.1863'} + 58%|█████████████████▎ | 5179/9000 [3:28:37<4:12:12, 3.96s/it] {'lm_loss': '0.1674', 'visual_loss': '3.226', 'seg_loss': '0.735', 'dino_loss': '0.9405', 'depth_loss': '0.2912', 'vggt_mse_loss': '0.2891', 'vggt_cos_loss': '0.02022', 'pidinet_loss': '0.2666', 'siglip_loss': '0.9931', 'epoch': '0.1863'} + 58%|█████████████████▎ | 5179/9000 [3:28:40<4:12:12, 3.96s/it][Dataset] cur_step=5180 phase=C_full_covt +[Dataset] cur_step=5180 phase=C_full_covt +[Dataset] cur_step=5180 phase=C_full_covt 58%|█████████████████▎ | 5180/9000 [3:28:41<4:14:30, 4.00s/it] +[Dataset] cur_step=5180 phase=C_full_covt +[Dataset] cur_step=5180 phase=C_full_covt +[Dataset] cur_step=5180 phase=C_full_covt +[Dataset] cur_step=5180 phase=C_full_covt +[Dataset] cur_step=5180 phase=C_full_covt + {'loss': '3.489', 'grad_norm': '4.429', 'learning_rate': '2.084e-05', 'epoch': '0.1864'} + 58%|█████████████████▎ | 5180/9000 [3:28:41<4:14:30, 4.00s/it] {'lm_loss': '0.01327', 'visual_loss': '2.485', 'seg_loss': '0.6586', 'dino_loss': '0.9045', 'depth_loss': '0.2398', 'vggt_mse_loss': '0.2385', 'vggt_cos_loss': '0.01354', 'pidinet_loss': '0.2093', 'siglip_loss': '0.4733', 'epoch': '0.1864'} + 58%|█████████████████▎ | 5180/9000 [3:28:44<4:14:30, 4.00s/it][Dataset] cur_step=5181 phase=C_full_covt[Dataset] cur_step=5181 phase=C_full_covt + +[Dataset] cur_step=5181 phase=C_full_covt +[Dataset] cur_step=5181 phase=C_full_covt +[Dataset] cur_step=5181 phase=C_full_covt + 58%|█████████████████▎ | 5181/9000 [3:28:45<4:11:55, 3.96s/it][Dataset] cur_step=5181 phase=C_full_covt +[Dataset] cur_step=5181 phase=C_full_covt +[Dataset] cur_step=5181 phase=C_full_covt + {'loss': '3.283', 'grad_norm': '2.131', 'learning_rate': '2.083e-05', 'epoch': '0.1864'} + 58%|█████████████████▎ | 5181/9000 [3:28:45<4:11:55, 3.96s/it] {'lm_loss': '0.2988', 'visual_loss': '2.987', 'seg_loss': '0.7596', 'dino_loss': '0.9202', 'depth_loss': '0.4908', 'vggt_mse_loss': '0.4866', 'vggt_cos_loss': '0.04206', 'pidinet_loss': '0.2296', 'siglip_loss': '0.5866', 'epoch': '0.1864'} + 58%|█████████████████▎ | 5181/9000 [3:28:48<4:11:55, 3.96s/it][Dataset] cur_step=5182 phase=C_full_covt +[Dataset] cur_step=5182 phase=C_full_covt +[Dataset] cur_step=5182 phase=C_full_covt +[Dataset] cur_step=5182 phase=C_full_covt +[Dataset] cur_step=5182 phase=C_full_covt +[Dataset] cur_step=5182 phase=C_full_covt 58%|█████████████████▎ | 5182/9000 [3:28:51<4:51:42, 4.58s/it] +[Dataset] cur_step=5182 phase=C_full_covt +[Dataset] cur_step=5182 phase=C_full_covt + {'loss': '3.281', 'grad_norm': '3.022', 'learning_rate': '2.082e-05', 'epoch': '0.1864'} + 58%|█████████████████▎ | 5182/9000 [3:28:51<4:51:42, 4.58s/it] {'lm_loss': '0.4627', 'visual_loss': '2.709', 'seg_loss': '0.6505', 'dino_loss': '0.9129', 'depth_loss': '0.2801', 'vggt_mse_loss': '0.2785', 'vggt_cos_loss': '0.01605', 'pidinet_loss': '0.2728', 'siglip_loss': '0.5925', 'epoch': '0.1864'} + 58%|█████████████████▎ | 5182/9000 [3:28:54<4:51:42, 4.58s/it][Dataset] cur_step=5183 phase=C_full_covt +[Dataset] cur_step=5183 phase=C_full_covt +[Dataset] cur_step=5183 phase=C_full_covt +[Dataset] cur_step=5183 phase=C_full_covt +[Dataset] cur_step=5183 phase=C_full_covt + 58%|█████████████████▎ | 5183/9000 [3:28:57<5:21:26, 5.05s/it][Dataset] cur_step=5183 phase=C_full_covt +[Dataset] cur_step=5183 phase=C_full_covt +[Dataset] cur_step=5183 phase=C_full_covt + {'loss': '3.382', 'grad_norm': '2.516', 'learning_rate': '2.081e-05', 'epoch': '0.1865'} + 58%|█████████████████▎ | 5183/9000 [3:28:57<5:21:26, 5.05s/it] {'lm_loss': '0.4878', 'visual_loss': '2.486', 'seg_loss': '0.6307', 'dino_loss': '0.8959', 'depth_loss': '0.2493', 'vggt_mse_loss': '0.2474', 'vggt_cos_loss': '0.01944', 'pidinet_loss': '0.2128', 'siglip_loss': '0.4975', 'epoch': '0.1865'} + 58%|█████████████████▎ | 5183/9000 [3:29:01<5:21:26, 5.05s/it][Dataset] cur_step=5184 phase=C_full_covt +[Dataset] cur_step=5184 phase=C_full_covt +[Dataset] cur_step=5184 phase=C_full_covt + 58%|█████████████████▎ | 5184/9000 [3:29:01<5:05:20, 4.80s/it][Dataset] cur_step=5184 phase=C_full_covt +[Dataset] cur_step=5184 phase=C_full_covt +[Dataset] cur_step=5184 phase=C_full_covt +[Dataset] cur_step=5184 phase=C_full_covt +[Dataset] cur_step=5184 phase=C_full_covt + {'loss': '3.096', 'grad_norm': '2.012', 'learning_rate': '2.08e-05', 'epoch': '0.1865'} + 58%|█████████████████▎ | 5184/9000 [3:29:01<5:05:20, 4.80s/it] {'lm_loss': '0.03955', 'visual_loss': '2.855', 'seg_loss': '0.7521', 'dino_loss': '0.908', 'depth_loss': '0.4603', 'vggt_mse_loss': '0.4566', 'vggt_cos_loss': '0.03713', 'pidinet_loss': '0.2825', 'siglip_loss': '0.4515', 'epoch': '0.1865'} + 58%|█████████████████▎ | 5184/9000 [3:29:04<5:05:20, 4.80s/it][Dataset] cur_step=5185 phase=C_full_covt +[Dataset] cur_step=5185 phase=C_full_covt +[Dataset] cur_step=5185 phase=C_full_covt +[Dataset] cur_step=5185 phase=C_full_covt +[Dataset] cur_step=5185 phase=C_full_covt[Dataset] cur_step=5185 phase=C_full_covt +[Dataset] cur_step=5185 phase=C_full_covt +[Dataset] cur_step=5185 phase=C_full_covt + + 58%|█████████████████▎ | 5185/9000 [3:29:05<4:50:41, 4.57s/it] {'loss': '3.012', 'grad_norm': '1.784', 'learning_rate': '2.079e-05', 'epoch': '0.1865'} + 58%|█████████████████▎ | 5185/9000 [3:29:05<4:50:41, 4.57s/it] {'lm_loss': '0.3145', 'visual_loss': '2.946', 'seg_loss': '0.8638', 'dino_loss': '0.9258', 'depth_loss': '0.2921', 'vggt_mse_loss': '0.2904', 'vggt_cos_loss': '0.01713', 'pidinet_loss': '0.2174', 'siglip_loss': '0.6471', 'epoch': '0.1865'} + 58%|█████████████████▎ | 5185/9000 [3:29:08<4:50:41, 4.57s/it][Dataset] cur_step=5186 phase=C_full_covt +[Dataset] cur_step=5186 phase=C_full_covt +[Dataset] cur_step=5186 phase=C_full_covt[Dataset] cur_step=5186 phase=C_full_covt +[Dataset] cur_step=5186 phase=C_full_covt + +[Dataset] cur_step=5186 phase=C_full_covt 58%|█████████████████▎ | 5186/9000 [3:29:09<4:36:50, 4.36s/it] +[Dataset] cur_step=5186 phase=C_full_covt +[Dataset] cur_step=5186 phase=C_full_covt + {'loss': '3.047', 'grad_norm': '6.986', 'learning_rate': '2.079e-05', 'epoch': '0.1866'} + 58%|█████████████████▎ | 5186/9000 [3:29:09<4:36:50, 4.36s/it] {'lm_loss': '0.6539', 'visual_loss': '3.075', 'seg_loss': '0.7825', 'dino_loss': '0.9459', 'depth_loss': '0.4794', 'vggt_mse_loss': '0.4744', 'vggt_cos_loss': '0.0498', 'pidinet_loss': '0.2492', 'siglip_loss': '0.6177', 'epoch': '0.1866'} + 58%|█████████████████▎ | 5186/9000 [3:29:12<4:36:50, 4.36s/it][Dataset] cur_step=5187 phase=C_full_covt[Dataset] cur_step=5187 phase=C_full_covt + +[Dataset] cur_step=5187 phase=C_full_covt[Dataset] cur_step=5187 phase=C_full_covt + +[Dataset] cur_step=5187 phase=C_full_covt +[Dataset] cur_step=5187 phase=C_full_covt 58%|█████████████████▎ | 5187/9000 [3:29:14<4:41:55, 4.44s/it] +[Dataset] cur_step=5187 phase=C_full_covt +[Dataset] cur_step=5187 phase=C_full_covt + {'loss': '3.316', 'grad_norm': '2.022', 'learning_rate': '2.078e-05', 'epoch': '0.1866'} + 58%|█████████████████▎ | 5187/9000 [3:29:14<4:41:55, 4.44s/it] {'lm_loss': '0.5256', 'visual_loss': '2.938', 'seg_loss': '0.81', 'dino_loss': '0.9343', 'depth_loss': '0.2589', 'vggt_mse_loss': '0.257', 'vggt_cos_loss': '0.01946', 'pidinet_loss': '0.2652', 'siglip_loss': '0.6699', 'epoch': '0.1866'} + 58%|█████████████████▎ | 5187/9000 [3:29:17<4:41:55, 4.44s/it][Dataset] cur_step=5188 phase=C_full_covt +[Dataset] cur_step=5188 phase=C_full_covt[Dataset] cur_step=5188 phase=C_full_covt + +[Dataset] cur_step=5188 phase=C_full_covt +[Dataset] cur_step=5188 phase=C_full_covt + 58%|█████████████████▎ | 5188/9000 [3:29:18<4:32:30, 4.29s/it][Dataset] cur_step=5188 phase=C_full_covt +[Dataset] cur_step=5188 phase=C_full_covt +[Dataset] cur_step=5188 phase=C_full_covt + {'loss': '3.299', 'grad_norm': '3.68', 'learning_rate': '2.077e-05', 'epoch': '0.1866'} + 58%|█████████████████▎ | 5188/9000 [3:29:18<4:32:30, 4.29s/it] {'lm_loss': '0.5044', 'visual_loss': '3.019', 'seg_loss': '0.7279', 'dino_loss': '0.9053', 'depth_loss': '0.2974', 'vggt_mse_loss': '0.2951', 'vggt_cos_loss': '0.02297', 'pidinet_loss': '0.2639', 'siglip_loss': '0.8248', 'epoch': '0.1866'} + 58%|█████████████████▎ | 5188/9000 [3:29:21<4:32:30, 4.29s/it][Dataset] cur_step=5189 phase=C_full_covt +[Dataset] cur_step=5189 phase=C_full_covt +[Dataset] cur_step=5189 phase=C_full_covt +[Dataset] cur_step=5189 phase=C_full_covt +[Dataset] cur_step=5189 phase=C_full_covt[Dataset] cur_step=5189 phase=C_full_covt + +[Dataset] cur_step=5189 phase=C_full_covt + 58%|█████████████████▎ | 5189/9000 [3:29:21<4:18:32, 4.07s/it][Dataset] cur_step=5189 phase=C_full_covt + {'loss': '3.228', 'grad_norm': '2.492', 'learning_rate': '2.076e-05', 'epoch': '0.1867'} + 58%|█████████████████▎ | 5189/9000 [3:29:21<4:18:32, 4.07s/it] {'lm_loss': '0.6174', 'visual_loss': '2.785', 'seg_loss': '0.8051', 'dino_loss': '0.9115', 'depth_loss': '0.2024', 'vggt_mse_loss': '0.2009', 'vggt_cos_loss': '0.01466', 'pidinet_loss': '0.259', 'siglip_loss': '0.6068', 'epoch': '0.1867'} + 58%|█████████████████▎ | 5189/9000 [3:29:24<4:18:32, 4.07s/it][Dataset] cur_step=5190 phase=C_full_covt +[Dataset] cur_step=5190 phase=C_full_covt +[Dataset] cur_step=5190 phase=C_full_covt +[Dataset] cur_step=5190 phase=C_full_covt + 58%|█████████████████▎ | 5190/9000 [3:29:28<5:08:57, 4.87s/it][Dataset] cur_step=5190 phase=C_full_covt +[Dataset] cur_step=5190 phase=C_full_covt[Dataset] cur_step=5190 phase=C_full_covt + +[Dataset] cur_step=5190 phase=C_full_covt + {'loss': '3.318', 'grad_norm': '1.774', 'learning_rate': '2.075e-05', 'epoch': '0.1867'} + 58%|█████████████████▎ | 5190/9000 [3:29:28<5:08:57, 4.87s/it] {'lm_loss': '0.485', 'visual_loss': '2.831', 'seg_loss': '0.7753', 'dino_loss': '0.9219', 'depth_loss': '0.3466', 'vggt_mse_loss': '0.3435', 'vggt_cos_loss': '0.0305', 'pidinet_loss': '0.2578', 'siglip_loss': '0.5293', 'epoch': '0.1867'} + 58%|█████████████████▎ | 5190/9000 [3:29:31<5:08:57, 4.87s/it][Dataset] cur_step=5191 phase=C_full_covt +[Dataset] cur_step=5191 phase=C_full_covt[Dataset] cur_step=5191 phase=C_full_covt + +[Dataset] cur_step=5191 phase=C_full_covt +[Dataset] cur_step=5191 phase=C_full_covt +[Dataset] cur_step=5191 phase=C_full_covt +[Dataset] cur_step=5191 phase=C_full_covt +[Dataset] cur_step=5191 phase=C_full_covt + 58%|█████████████████▎ | 5191/9000 [3:29:32<4:48:16, 4.54s/it] {'loss': '3.056', 'grad_norm': '2.346', 'learning_rate': '2.074e-05', 'epoch': '0.1867'} + 58%|█████████████████▎ | 5191/9000 [3:29:32<4:48:16, 4.54s/it] {'lm_loss': '0.7197', 'visual_loss': '2.606', 'seg_loss': '0.7182', 'dino_loss': '0.9189', 'depth_loss': '0.2942', 'vggt_mse_loss': '0.292', 'vggt_cos_loss': '0.02203', 'pidinet_loss': '0.2247', 'siglip_loss': '0.4502', 'epoch': '0.1867'} + 58%|█████████████████▎ | 5191/9000 [3:29:35<4:48:16, 4.54s/it][Dataset] cur_step=5192 phase=C_full_covt[Dataset] cur_step=5192 phase=C_full_covt + + 58%|█████████████████▎ | 5192/9000 [3:29:36<4:42:22, 4.45s/it][Dataset] cur_step=5192 phase=C_full_covt +[Dataset] cur_step=5192 phase=C_full_covt[Dataset] cur_step=5192 phase=C_full_covt + +[Dataset] cur_step=5192 phase=C_full_covt +[Dataset] cur_step=5192 phase=C_full_covt[Dataset] cur_step=5192 phase=C_full_covt + + {'loss': '3.155', 'grad_norm': '2.079', 'learning_rate': '2.073e-05', 'epoch': '0.1868'} + 58%|█████████████████▎ | 5192/9000 [3:29:36<4:42:22, 4.45s/it] {'lm_loss': '0.389', 'visual_loss': '2.761', 'seg_loss': '0.7793', 'dino_loss': '0.9197', 'depth_loss': '0.338', 'vggt_mse_loss': '0.336', 'vggt_cos_loss': '0.01929', 'pidinet_loss': '0.2253', 'siglip_loss': '0.4985', 'epoch': '0.1868'} + 58%|█████████████████▎ | 5192/9000 [3:29:39<4:42:22, 4.45s/it][Dataset] cur_step=5193 phase=C_full_covt +[Dataset] cur_step=5193 phase=C_full_covt[Dataset] cur_step=5193 phase=C_full_covt +[Dataset] cur_step=5193 phase=C_full_covt +[Dataset] cur_step=5193 phase=C_full_covt + + 58%|█████████████████▎ | 5193/9000 [3:29:40<4:31:31, 4.28s/it][Dataset] cur_step=5193 phase=C_full_covt[Dataset] cur_step=5193 phase=C_full_covt + +[Dataset] cur_step=5193 phase=C_full_covt + {'loss': '3.478', 'grad_norm': '2.562', 'learning_rate': '2.072e-05', 'epoch': '0.1868'} + 58%|█████████████████▎ | 5193/9000 [3:29:40<4:31:31, 4.28s/it] {'lm_loss': '0.00444', 'visual_loss': '2.786', 'seg_loss': '0.7428', 'dino_loss': '0.9139', 'depth_loss': '0.2674', 'vggt_mse_loss': '0.2655', 'vggt_cos_loss': '0.01824', 'pidinet_loss': '0.2583', 'siglip_loss': '0.6034', 'epoch': '0.1868'} + 58%|█████████████████▎ | 5193/9000 [3:29:43<4:31:31, 4.28s/it][Dataset] cur_step=5194 phase=C_full_covt +[Dataset] cur_step=5194 phase=C_full_covt +[Dataset] cur_step=5194 phase=C_full_covt +[Dataset] cur_step=5194 phase=C_full_covt + 58%|█████████████████▎ | 5194/9000 [3:29:44<4:25:48, 4.19s/it][Dataset] cur_step=5194 phase=C_full_covt +[Dataset] cur_step=5194 phase=C_full_covt +[Dataset] cur_step=5194 phase=C_full_covt +[Dataset] cur_step=5194 phase=C_full_covt + {'loss': '3.374', 'grad_norm': '2.658', 'learning_rate': '2.071e-05', 'epoch': '0.1869'} + 58%|█████████████████▎ | 5194/9000 [3:29:44<4:25:48, 4.19s/it] {'lm_loss': '0.002219', 'visual_loss': '2.723', 'seg_loss': '0.8323', 'dino_loss': '0.9028', 'depth_loss': '0.2598', 'vggt_mse_loss': '0.2579', 'vggt_cos_loss': '0.0187', 'pidinet_loss': '0.2436', 'siglip_loss': '0.4847', 'epoch': '0.1869'} + 58%|█████████████████▎ | 5194/9000 [3:29:47<4:25:48, 4.19s/it][Dataset] cur_step=5195 phase=C_full_covt +[Dataset] cur_step=5195 phase=C_full_covt +[Dataset] cur_step=5195 phase=C_full_covt +[Dataset] cur_step=5195 phase=C_full_covt +[Dataset] cur_step=5195 phase=C_full_covt[Dataset] cur_step=5195 phase=C_full_covt[Dataset] cur_step=5195 phase=C_full_covt + + 58%|█████████████████▎ | 5195/9000 [3:29:48<4:29:31, 4.25s/it] +[Dataset] cur_step=5195 phase=C_full_covt + {'loss': '3.243', 'grad_norm': '2.26', 'learning_rate': '2.07e-05', 'epoch': '0.1869'} + 58%|█████████████████▎ | 5195/9000 [3:29:48<4:29:31, 4.25s/it] {'lm_loss': '0.6142', 'visual_loss': '2.869', 'seg_loss': '0.7519', 'dino_loss': '0.9392', 'depth_loss': '0.2067', 'vggt_mse_loss': '0.2054', 'vggt_cos_loss': '0.01354', 'pidinet_loss': '0.2065', 'siglip_loss': '0.765', 'epoch': '0.1869'} + 58%|█████████████████▎ | 5195/9000 [3:29:52<4:29:31, 4.25s/it][Dataset] cur_step=5196 phase=C_full_covt[Dataset] cur_step=5196 phase=C_full_covt[Dataset] cur_step=5196 phase=C_full_covt + + +[Dataset] cur_step=5196 phase=C_full_covt + 58%|█████████████████▎ | 5196/9000 [3:29:52<4:28:16, 4.23s/it][Dataset] cur_step=5196 phase=C_full_covt +[Dataset] cur_step=5196 phase=C_full_covt +[Dataset] cur_step=5196 phase=C_full_covt +[Dataset] cur_step=5196 phase=C_full_covt + {'loss': '3.288', 'grad_norm': '2.296', 'learning_rate': '2.069e-05', 'epoch': '0.1869'} + 58%|█████████████████▎ | 5196/9000 [3:29:52<4:28:16, 4.23s/it] {'lm_loss': '0.4084', 'visual_loss': '2.804', 'seg_loss': '0.7459', 'dino_loss': '0.9078', 'depth_loss': '0.1966', 'vggt_mse_loss': '0.1955', 'vggt_cos_loss': '0.01139', 'pidinet_loss': '0.273', 'siglip_loss': '0.681', 'epoch': '0.1869'} + 58%|█████████████████▎ | 5196/9000 [3:29:55<4:28:16, 4.23s/it][Dataset] cur_step=5197 phase=C_full_covt +[Dataset] cur_step=5197 phase=C_full_covt +[Dataset] cur_step=5197 phase=C_full_covt[Dataset] cur_step=5197 phase=C_full_covt + +[Dataset] cur_step=5197 phase=C_full_covt +[Dataset] cur_step=5197 phase=C_full_covt[Dataset] cur_step=5197 phase=C_full_covt + +[Dataset] cur_step=5197 phase=C_full_covt 58%|█████████████████▎ | 5197/9000 [3:29:56<4:25:16, 4.19s/it] + {'loss': '3.282', 'grad_norm': '3.78', 'learning_rate': '2.069e-05', 'epoch': '0.187'} + 58%|█████████████████▎ | 5197/9000 [3:29:56<4:25:16, 4.19s/it] {'lm_loss': '0.3788', 'visual_loss': '2.724', 'seg_loss': '0.698', 'dino_loss': '0.894', 'depth_loss': '0.2626', 'vggt_mse_loss': '0.2604', 'vggt_cos_loss': '0.02213', 'pidinet_loss': '0.2318', 'siglip_loss': '0.6373', 'epoch': '0.187'} + 58%|█████████████████▎ | 5197/9000 [3:29:59<4:25:16, 4.19s/it][Dataset] cur_step=5198 phase=C_full_covt +[Dataset] cur_step=5198 phase=C_full_covt +[Dataset] cur_step=5198 phase=C_full_covt[Dataset] cur_step=5198 phase=C_full_covt + + 58%|█████████████████▎ | 5198/9000 [3:30:02<5:01:17, 4.75s/it][Dataset] cur_step=5198 phase=C_full_covt +[Dataset] cur_step=5198 phase=C_full_covt +[Dataset] cur_step=5198 phase=C_full_covt +[Dataset] cur_step=5198 phase=C_full_covt + {'loss': '3.277', 'grad_norm': '2.199', 'learning_rate': '2.068e-05', 'epoch': '0.187'} + 58%|█████████████████▎ | 5198/9000 [3:30:02<5:01:17, 4.75s/it] {'lm_loss': '0.4599', 'visual_loss': '2.47', 'seg_loss': '0.6839', 'dino_loss': '0.8931', 'depth_loss': '0.2559', 'vggt_mse_loss': '0.2539', 'vggt_cos_loss': '0.02072', 'pidinet_loss': '0.2477', 'siglip_loss': '0.3889', 'epoch': '0.187'} + 58%|█████████████████▎ | 5198/9000 [3:30:06<5:01:17, 4.75s/it][Dataset] cur_step=5199 phase=C_full_covt +[Dataset] cur_step=5199 phase=C_full_covt +[Dataset] cur_step=5199 phase=C_full_covt +[Dataset] cur_step=5199 phase=C_full_covt +[Dataset] cur_step=5199 phase=C_full_covt +[Dataset] cur_step=5199 phase=C_full_covt +[Dataset] cur_step=5199 phase=C_full_covt + 58%|█████████████████▎ | 5199/9000 [3:30:06<4:45:53, 4.51s/it][Dataset] cur_step=5199 phase=C_full_covt + {'loss': '3.024', 'grad_norm': '5.854', 'learning_rate': '2.067e-05', 'epoch': '0.187'} + 58%|█████████████████▎ | 5199/9000 [3:30:06<4:45:53, 4.51s/it] {'lm_loss': '0.3189', 'visual_loss': '2.848', 'seg_loss': '0.5979', 'dino_loss': '0.9016', 'depth_loss': '0.1947', 'vggt_mse_loss': '0.1934', 'vggt_cos_loss': '0.01275', 'pidinet_loss': '0.3232', 'siglip_loss': '0.8308', 'epoch': '0.187'} + 58%|█████████████████▎ | 5199/9000 [3:30:10<4:45:53, 4.51s/it][Dataset] cur_step=5200 phase=C_full_covt +[Dataset] cur_step=5200 phase=C_full_covt +[Dataset] cur_step=5200 phase=C_full_covt +[Dataset] cur_step=5200 phase=C_full_covt +[Dataset] cur_step=5200 phase=C_full_covt +[Dataset] cur_step=5200 phase=C_full_covt +[Dataset] cur_step=5200 phase=C_full_covt +[Dataset] cur_step=5200 phase=C_full_covt + 58%|█████████████████▎ | 5200/9000 [3:30:10<4:36:30, 4.37s/it] {'loss': '3.083', 'grad_norm': '2.331', 'learning_rate': '2.066e-05', 'epoch': '0.1871'} + 58%|█████████████████▎ | 5200/9000 [3:30:10<4:36:30, 4.37s/it] {'lm_loss': '0.5609', 'visual_loss': '2.779', 'seg_loss': '0.798', 'dino_loss': '0.8981', 'depth_loss': '0.2307', 'vggt_mse_loss': '0.2293', 'vggt_cos_loss': '0.01385', 'pidinet_loss': '0.2849', 'siglip_loss': '0.5675', 'epoch': '0.1871'} + 58%|█████████████████▎ | 5200/9000 [3:30:13<4:36:30, 4.37s/it][Dataset] cur_step=5201 phase=C_full_covt +[Dataset] cur_step=5201 phase=C_full_covt +[Dataset] cur_step=5201 phase=C_full_covt + 58%|█████████████████▎ | 5201/9000 [3:30:15<4:34:43, 4.34s/it][Dataset] cur_step=5201 phase=C_full_covt[Dataset] cur_step=5201 phase=C_full_covt + +[Dataset] cur_step=5201 phase=C_full_covt +[Dataset] cur_step=5201 phase=C_full_covt +[Dataset] cur_step=5201 phase=C_full_covt + {'loss': '3.054', 'grad_norm': '2.803', 'learning_rate': '2.065e-05', 'epoch': '0.1871'} + 58%|█████████████████▎ | 5201/9000 [3:30:15<4:34:43, 4.34s/it] {'lm_loss': '0.7922', 'visual_loss': '2.635', 'seg_loss': '0.6884', 'dino_loss': '0.8977', 'depth_loss': '0.2529', 'vggt_mse_loss': '0.2513', 'vggt_cos_loss': '0.01623', 'pidinet_loss': '0.2826', 'siglip_loss': '0.513', 'epoch': '0.1871'} + 58%|█████████████████▎ | 5201/9000 [3:30:18<4:34:43, 4.34s/it][Dataset] cur_step=5202 phase=C_full_covt +[Dataset] cur_step=5202 phase=C_full_covt +[Dataset] cur_step=5202 phase=C_full_covt[Dataset] cur_step=5202 phase=C_full_covt + +[Dataset] cur_step=5202 phase=C_full_covt 58%|█████████████████▎ | 5202/9000 [3:30:19<4:24:51, 4.18s/it] +[Dataset] cur_step=5202 phase=C_full_covt[Dataset] cur_step=5202 phase=C_full_covt + +[Dataset] cur_step=5202 phase=C_full_covt + {'loss': '3.284', 'grad_norm': '4.264', 'learning_rate': '2.064e-05', 'epoch': '0.1871'} + 58%|█████████████████▎ | 5202/9000 [3:30:19<4:24:51, 4.18s/it] {'lm_loss': '0.5316', 'visual_loss': '2.725', 'seg_loss': '0.7546', 'dino_loss': '0.9251', 'depth_loss': '0.2868', 'vggt_mse_loss': '0.2845', 'vggt_cos_loss': '0.02328', 'pidinet_loss': '0.2865', 'siglip_loss': '0.4725', 'epoch': '0.1871'} + 58%|█████████████████▎ | 5202/9000 [3:30:22<4:24:51, 4.18s/it][Dataset] cur_step=5203 phase=C_full_covt +[Dataset] cur_step=5203 phase=C_full_covt +[Dataset] cur_step=5203 phase=C_full_covt +[Dataset] cur_step=5203 phase=C_full_covt +[Dataset] cur_step=5203 phase=C_full_covt +[Dataset] cur_step=5203 phase=C_full_covt +[Dataset] cur_step=5203 phase=C_full_covt +[Dataset] cur_step=5203 phase=C_full_covt + 58%|█████████████████▎ | 5203/9000 [3:30:23<4:20:42, 4.12s/it] {'loss': '3.177', 'grad_norm': '2.223', 'learning_rate': '2.063e-05', 'epoch': '0.1872'} + 58%|█████████████████▎ | 5203/9000 [3:30:23<4:20:42, 4.12s/it] {'lm_loss': '0.7047', 'visual_loss': '2.469', 'seg_loss': '0.6898', 'dino_loss': '0.9208', 'depth_loss': '0.2682', 'vggt_mse_loss': '0.2664', 'vggt_cos_loss': '0.01836', 'pidinet_loss': '0.2301', 'siglip_loss': '0.3606', 'epoch': '0.1872'} + 58%|█████████████████▎ | 5203/9000 [3:30:26<4:20:42, 4.12s/it][Dataset] cur_step=5204 phase=C_full_covt +[Dataset] cur_step=5204 phase=C_full_covt +[Dataset] cur_step=5204 phase=C_full_covt +[Dataset] cur_step=5204 phase=C_full_covt +[Dataset] cur_step=5204 phase=C_full_covt +[Dataset] cur_step=5204 phase=C_full_covt +[Dataset] cur_step=5204 phase=C_full_covt +[Dataset] cur_step=5204 phase=C_full_covt + 58%|█████████████████▎ | 5204/9000 [3:30:26<4:15:44, 4.04s/it] {'loss': '3.068', 'grad_norm': '4.284', 'learning_rate': '2.062e-05', 'epoch': '0.1872'} + 58%|█████████████████▎ | 5204/9000 [3:30:26<4:15:44, 4.04s/it] {'lm_loss': '0.5384', 'visual_loss': '2.848', 'seg_loss': '0.6941', 'dino_loss': '0.9325', 'depth_loss': '0.276', 'vggt_mse_loss': '0.2742', 'vggt_cos_loss': '0.01762', 'pidinet_loss': '0.2602', 'siglip_loss': '0.6856', 'epoch': '0.1872'} + 58%|█████████████████▎ | 5204/9000 [3:30:29<4:15:44, 4.04s/it][Dataset] cur_step=5205 phase=C_full_covt +[Dataset] cur_step=5205 phase=C_full_covt +[Dataset] cur_step=5205 phase=C_full_covt +[Dataset] cur_step=5205 phase=C_full_covt[Dataset] cur_step=5205 phase=C_full_covt + + 58%|█████████████████▎ | 5205/9000 [3:30:30<4:13:07, 4.00s/it][Dataset] cur_step=5205 phase=C_full_covt +[Dataset] cur_step=5205 phase=C_full_covt +[Dataset] cur_step=5205 phase=C_full_covt + {'loss': '3.014', 'grad_norm': '2.233', 'learning_rate': '2.061e-05', 'epoch': '0.1873'} + 58%|█████████████████▎ | 5205/9000 [3:30:30<4:13:07, 4.00s/it] {'lm_loss': '0.3651', 'visual_loss': '2.566', 'seg_loss': '0.6633', 'dino_loss': '0.8868', 'depth_loss': '0.3475', 'vggt_mse_loss': '0.3453', 'vggt_cos_loss': '0.02256', 'pidinet_loss': '0.2337', 'siglip_loss': '0.4349', 'epoch': '0.1873'} + 58%|█████████████████▎ | 5205/9000 [3:30:33<4:13:07, 4.00s/it][Dataset] cur_step=5206 phase=C_full_covt +[Dataset] cur_step=5206 phase=C_full_covt +[Dataset] cur_step=5206 phase=C_full_covt +[Dataset] cur_step=5206 phase=C_full_covt + 58%|█████████████████▎ | 5206/9000 [3:30:34<4:07:24, 3.91s/it][Dataset] cur_step=5206 phase=C_full_covt +[Dataset] cur_step=5206 phase=C_full_covt +[Dataset] cur_step=5206 phase=C_full_covt +[Dataset] cur_step=5206 phase=C_full_covt + {'loss': '3.098', 'grad_norm': '2.002', 'learning_rate': '2.06e-05', 'epoch': '0.1873'} + 58%|█████████████████▎ | 5206/9000 [3:30:34<4:07:24, 3.91s/it] {'lm_loss': '0.4005', 'visual_loss': '2.772', 'seg_loss': '0.7028', 'dino_loss': '0.9285', 'depth_loss': '0.303', 'vggt_mse_loss': '0.3004', 'vggt_cos_loss': '0.02598', 'pidinet_loss': '0.2728', 'siglip_loss': '0.5652', 'epoch': '0.1873'} + 58%|█████████████████▎ | 5206/9000 [3:30:37<4:07:24, 3.91s/it][Dataset] cur_step=5207 phase=C_full_covt +[Dataset] cur_step=5207 phase=C_full_covt[Dataset] cur_step=5207 phase=C_full_covt +[Dataset] cur_step=5207 phase=C_full_covt + + 58%|█████████████████▎ | 5207/9000 [3:30:38<4:09:10, 3.94s/it][Dataset] cur_step=5207 phase=C_full_covt +[Dataset] cur_step=5207 phase=C_full_covt +[Dataset] cur_step=5207 phase=C_full_covt +[Dataset] cur_step=5207 phase=C_full_covt + {'loss': '3.165', 'grad_norm': '2.158', 'learning_rate': '2.06e-05', 'epoch': '0.1873'} + 58%|█████████████████▎ | 5207/9000 [3:30:38<4:09:10, 3.94s/it] {'lm_loss': '0.002767', 'visual_loss': '2.989', 'seg_loss': '0.7747', 'dino_loss': '0.9384', 'depth_loss': '0.323', 'vggt_mse_loss': '0.3202', 'vggt_cos_loss': '0.02746', 'pidinet_loss': '0.2578', 'siglip_loss': '0.6955', 'epoch': '0.1873'} + 58%|█████████████████▎ | 5207/9000 [3:30:41<4:09:10, 3.94s/it][Dataset] cur_step=5208 phase=C_full_covt +[Dataset] cur_step=5208 phase=C_full_covt +[Dataset] cur_step=5208 phase=C_full_covt +[Dataset] cur_step=5208 phase=C_full_covt +[Dataset] cur_step=5208 phase=C_full_covt +[Dataset] cur_step=5208 phase=C_full_covt +[Dataset] cur_step=5208 phase=C_full_covt +[Dataset] cur_step=5208 phase=C_full_covt + 58%|█████████████████▎ | 5208/9000 [3:30:42<4:17:51, 4.08s/it] {'loss': '3.116', 'grad_norm': '3.488', 'learning_rate': '2.059e-05', 'epoch': '0.1874'} + 58%|█████████████████▎ | 5208/9000 [3:30:42<4:17:51, 4.08s/it]Token indices sequence length is longer than the specified maximum sequence length for this model (1043 > 1024). Running this sequence through the model will result in indexing errors + {'lm_loss': '0.8664', 'visual_loss': '2.46', 'seg_loss': '0.7313', 'dino_loss': '0.9071', 'depth_loss': '0.2179', 'vggt_mse_loss': '0.2169', 'vggt_cos_loss': '0.0102', 'pidinet_loss': '0.2041', 'siglip_loss': '0.3991', 'epoch': '0.1874'} + 58%|█████████████████▎ | 5208/9000 [3:30:46<4:17:51, 4.08s/it][Dataset] cur_step=5209 phase=C_full_covt +[Dataset] cur_step=5209 phase=C_full_covt[Dataset] cur_step=5209 phase=C_full_covt + +[Dataset] cur_step=5209 phase=C_full_covt[Dataset] cur_step=5209 phase=C_full_covt + + 58%|█████████████████▎ | 5209/9000 [3:30:46<4:15:22, 4.04s/it][Dataset] cur_step=5209 phase=C_full_covt +[Dataset] cur_step=5209 phase=C_full_covt +[Dataset] cur_step=5209 phase=C_full_covt + {'loss': '3.266', 'grad_norm': '1.798', 'learning_rate': '2.058e-05', 'epoch': '0.1874'} + 58%|█████████████████▎ | 5209/9000 [3:30:46<4:15:22, 4.04s/it] {'lm_loss': '0.5793', 'visual_loss': '2.82', 'seg_loss': '0.7218', 'dino_loss': '0.9252', 'depth_loss': '0.2564', 'vggt_mse_loss': '0.2542', 'vggt_cos_loss': '0.02132', 'pidinet_loss': '0.2552', 'siglip_loss': '0.6613', 'epoch': '0.1874'} + 58%|█████████████████▎ | 5209/9000 [3:30:49<4:15:22, 4.04s/it][Dataset] cur_step=5210 phase=C_full_covt[Dataset] cur_step=5210 phase=C_full_covt[Dataset] cur_step=5210 phase=C_full_covt + + +[Dataset] cur_step=5210 phase=C_full_covt +[Dataset] cur_step=5210 phase=C_full_covt +[Dataset] cur_step=5210 phase=C_full_covt[Dataset] cur_step=5210 phase=C_full_covt[Dataset] cur_step=5210 phase=C_full_covt + + + 58%|█████████████████▎ | 5210/9000 [3:30:50<4:13:32, 4.01s/it] {'loss': '3.205', 'grad_norm': '5.934', 'learning_rate': '2.057e-05', 'epoch': '0.1874'} + 58%|█████████████████▎ | 5210/9000 [3:30:50<4:13:32, 4.01s/it] {'lm_loss': '0.4938', 'visual_loss': '2.812', 'seg_loss': '0.802', 'dino_loss': '0.9262', 'depth_loss': '0.2388', 'vggt_mse_loss': '0.2372', 'vggt_cos_loss': '0.01592', 'pidinet_loss': '0.2672', 'siglip_loss': '0.5776', 'epoch': '0.1874'} + 58%|█████████████████▎ | 5210/9000 [3:30:53<4:13:32, 4.01s/it][Dataset] cur_step=5211 phase=C_full_covt +[Dataset] cur_step=5211 phase=C_full_covt +[Dataset] cur_step=5211 phase=C_full_covt +[Dataset] cur_step=5211 phase=C_full_covt +[Dataset] cur_step=5211 phase=C_full_covt +[Dataset] cur_step=5211 phase=C_full_covt +[Dataset] cur_step=5211 phase=C_full_covt +[Dataset] cur_step=5211 phase=C_full_covt 58%|█████████████████▎ | 5211/9000 [3:30:54<4:13:02, 4.01s/it] + {'loss': '3.219', 'grad_norm': '3.648', 'learning_rate': '2.056e-05', 'epoch': '0.1875'} + 58%|█████████████████▎ | 5211/9000 [3:30:54<4:13:02, 4.01s/it] {'lm_loss': '0.8741', 'visual_loss': '2.55', 'seg_loss': '0.7201', 'dino_loss': '0.8898', 'depth_loss': '0.2239', 'vggt_mse_loss': '0.2223', 'vggt_cos_loss': '0.0154', 'pidinet_loss': '0.1421', 'siglip_loss': '0.5738', 'epoch': '0.1875'} + 58%|█████████████████▎ | 5211/9000 [3:30:59<4:13:02, 4.01s/it][Dataset] cur_step=5212 phase=C_full_covt +[Dataset] cur_step=5212 phase=C_full_covt + 58%|█████████████████▎ | 5212/9000 [3:30:59<4:28:10, 4.25s/it][Dataset] cur_step=5212 phase=C_full_covt[Dataset] cur_step=5212 phase=C_full_covt + +[Dataset] cur_step=5212 phase=C_full_covt +[Dataset] cur_step=5212 phase=C_full_covt +[Dataset] cur_step=5212 phase=C_full_covt[Dataset] cur_step=5212 phase=C_full_covt + + {'loss': '3.214', 'grad_norm': '1.861', 'learning_rate': '2.055e-05', 'epoch': '0.1875'} + 58%|█████████████████▎ | 5212/9000 [3:30:59<4:28:10, 4.25s/it] {'lm_loss': '1.208', 'visual_loss': '2.824', 'seg_loss': '0.8034', 'dino_loss': '0.901', 'depth_loss': '0.2273', 'vggt_mse_loss': '0.2258', 'vggt_cos_loss': '0.01435', 'pidinet_loss': '0.218', 'siglip_loss': '0.6742', 'epoch': '0.1875'} + 58%|█████████████████▎ | 5212/9000 [3:31:02<4:28:10, 4.25s/it][Dataset] cur_step=5213 phase=C_full_covt +[Dataset] cur_step=5213 phase=C_full_covt +[Dataset] cur_step=5213 phase=C_full_covt +[Dataset] cur_step=5213 phase=C_full_covt[Dataset] cur_step=5213 phase=C_full_covt + +[Dataset] cur_step=5213 phase=C_full_covt +[Dataset] cur_step=5213 phase=C_full_covt + 58%|█████████████████▍ | 5213/9000 [3:31:03<4:17:52, 4.09s/it][Dataset] cur_step=5213 phase=C_full_covt + {'loss': '3.33', 'grad_norm': '13.45', 'learning_rate': '2.054e-05', 'epoch': '0.1875'} + 58%|█████████████████▍ | 5213/9000 [3:31:03<4:17:52, 4.09s/it] {'lm_loss': '0.9987', 'visual_loss': '2.46', 'seg_loss': '0.621', 'dino_loss': '0.8786', 'depth_loss': '0.2454', 'vggt_mse_loss': '0.244', 'vggt_cos_loss': '0.01432', 'pidinet_loss': '0.2053', 'siglip_loss': '0.5098', 'epoch': '0.1875'} + 58%|█████████████████▍ | 5213/9000 [3:31:06<4:17:52, 4.09s/it][Dataset] cur_step=5214 phase=C_full_covt +[Dataset] cur_step=5214 phase=C_full_covt +[Dataset] cur_step=5214 phase=C_full_covt + 58%|█████████████████▍ | 5214/9000 [3:31:07<4:19:17, 4.11s/it][Dataset] cur_step=5214 phase=C_full_covt +[Dataset] cur_step=5214 phase=C_full_covt[Dataset] cur_step=5214 phase=C_full_covt +[Dataset] cur_step=5214 phase=C_full_covt[Dataset] cur_step=5214 phase=C_full_covt + + + {'loss': '3.412', 'grad_norm': '4.063', 'learning_rate': '2.053e-05', 'epoch': '0.1876'} + 58%|█████████████████▍ | 5214/9000 [3:31:07<4:19:17, 4.11s/it] {'lm_loss': '0.006843', 'visual_loss': '2.661', 'seg_loss': '0.716', 'dino_loss': '0.8763', 'depth_loss': '0.2256', 'vggt_mse_loss': '0.224', 'vggt_cos_loss': '0.01549', 'pidinet_loss': '0.2603', 'siglip_loss': '0.5823', 'epoch': '0.1876'} + 58%|█████████████████▍ | 5214/9000 [3:31:11<4:19:17, 4.11s/it][Dataset] cur_step=5215 phase=C_full_covt +[Dataset] cur_step=5215 phase=C_full_covt[Dataset] cur_step=5215 phase=C_full_covt + + 58%|█████████████████▍ | 5215/9000 [3:31:11<4:15:59, 4.06s/it][Dataset] cur_step=5215 phase=C_full_covt +[Dataset] cur_step=5215 phase=C_full_covt +[Dataset] cur_step=5215 phase=C_full_covt +[Dataset] cur_step=5215 phase=C_full_covt +[Dataset] cur_step=5215 phase=C_full_covt + {'loss': '3.489', 'grad_norm': '2.234', 'learning_rate': '2.052e-05', 'epoch': '0.1876'} + 58%|█████████████████▍ | 5215/9000 [3:31:11<4:15:59, 4.06s/it] {'lm_loss': '0.04836', 'visual_loss': '2.424', 'seg_loss': '0.6439', 'dino_loss': '0.9077', 'depth_loss': '0.2883', 'vggt_mse_loss': '0.2861', 'vggt_cos_loss': '0.02161', 'pidinet_loss': '0.1609', 'siglip_loss': '0.4233', 'epoch': '0.1876'} + 58%|█████████████████▍ | 5215/9000 [3:31:14<4:15:59, 4.06s/it][Dataset] cur_step=5216 phase=C_full_covt +[Dataset] cur_step=5216 phase=C_full_covt[Dataset] cur_step=5216 phase=C_full_covt + +[Dataset] cur_step=5216 phase=C_full_covt +[Dataset] cur_step=5216 phase=C_full_covt +[Dataset] cur_step=5216 phase=C_full_covt + 58%|█████████████████▍ | 5216/9000 [3:31:15<4:18:20, 4.10s/it][Dataset] cur_step=5216 phase=C_full_covt +[Dataset] cur_step=5216 phase=C_full_covt + {'loss': '2.926', 'grad_norm': '1.851', 'learning_rate': '2.051e-05', 'epoch': '0.1876'} + 58%|█████████████████▍ | 5216/9000 [3:31:15<4:18:20, 4.10s/it] {'lm_loss': '0.2763', 'visual_loss': '2.678', 'seg_loss': '0.7238', 'dino_loss': '0.9148', 'depth_loss': '0.233', 'vggt_mse_loss': '0.2319', 'vggt_cos_loss': '0.0115', 'pidinet_loss': '0.2067', 'siglip_loss': '0.5998', 'epoch': '0.1876'} + 58%|█████████████████▍ | 5216/9000 [3:31:18<4:18:20, 4.10s/it][Dataset] cur_step=5217 phase=C_full_covt[Dataset] cur_step=5217 phase=C_full_covt + +[Dataset] cur_step=5217 phase=C_full_covt +[Dataset] cur_step=5217 phase=C_full_covt[Dataset] cur_step=5217 phase=C_full_covt[Dataset] cur_step=5217 phase=C_full_covt + + + 58%|█████████████████▍ | 5217/9000 [3:31:19<4:17:26, 4.08s/it][Dataset] cur_step=5217 phase=C_full_covt +[Dataset] cur_step=5217 phase=C_full_covt + {'loss': '3.075', 'grad_norm': '1.534', 'learning_rate': '2.051e-05', 'epoch': '0.1877'} + 58%|█████████████████▍ | 5217/9000 [3:31:19<4:17:26, 4.08s/it] {'lm_loss': '0.3734', 'visual_loss': '2.758', 'seg_loss': '0.7828', 'dino_loss': '0.9299', 'depth_loss': '0.2568', 'vggt_mse_loss': '0.2549', 'vggt_cos_loss': '0.01866', 'pidinet_loss': '0.2832', 'siglip_loss': '0.5049', 'epoch': '0.1877'} + 58%|█████████████████▍ | 5217/9000 [3:31:22<4:17:26, 4.08s/it][Dataset] cur_step=5218 phase=C_full_covt +[Dataset] cur_step=5218 phase=C_full_covt +[Dataset] cur_step=5218 phase=C_full_covt +[Dataset] cur_step=5218 phase=C_full_covt +[Dataset] cur_step=5218 phase=C_full_covt +[Dataset] cur_step=5218 phase=C_full_covt + 58%|█████████████████▍ | 5218/9000 [3:31:23<4:20:17, 4.13s/it][Dataset] cur_step=5218 phase=C_full_covt +[Dataset] cur_step=5218 phase=C_full_covt + {'loss': '2.993', 'grad_norm': '2.42', 'learning_rate': '2.05e-05', 'epoch': '0.1877'} + 58%|█████████████████▍ | 5218/9000 [3:31:23<4:20:17, 4.13s/it] {'lm_loss': '0.002898', 'visual_loss': '2.173', 'seg_loss': '0.6209', 'dino_loss': '0.8905', 'depth_loss': '0.2448', 'vggt_mse_loss': '0.2437', 'vggt_cos_loss': '0.01056', 'pidinet_loss': '0.1592', 'siglip_loss': '0.2574', 'epoch': '0.1877'} + 58%|█████████████████▍ | 5218/9000 [3:31:27<4:20:17, 4.13s/it][Dataset] cur_step=5219 phase=C_full_covt[Dataset] cur_step=5219 phase=C_full_covt + + 58%|█████████████████▍ | 5219/9000 [3:31:28<4:22:23, 4.16s/it][Dataset] cur_step=5219 phase=C_full_covt[Dataset] cur_step=5219 phase=C_full_covt +[Dataset] cur_step=5219 phase=C_full_covt + +[Dataset] cur_step=5219 phase=C_full_covt +[Dataset] cur_step=5219 phase=C_full_covt +[Dataset] cur_step=5219 phase=C_full_covt + {'loss': '2.714', 'grad_norm': '4.563', 'learning_rate': '2.049e-05', 'epoch': '0.1878'} + 58%|█████████████████▍ | 5219/9000 [3:31:28<4:22:23, 4.16s/it] {'lm_loss': '0.4468', 'visual_loss': '2.855', 'seg_loss': '0.685', 'dino_loss': '0.9138', 'depth_loss': '0.2376', 'vggt_mse_loss': '0.2361', 'vggt_cos_loss': '0.01551', 'pidinet_loss': '0.3202', 'siglip_loss': '0.6985', 'epoch': '0.1878'} + 58%|█████████████████▍ | 5219/9000 [3:31:31<4:22:23, 4.16s/it][Dataset] cur_step=5220 phase=C_full_covt +[Dataset] cur_step=5220 phase=C_full_covt +[Dataset] cur_step=5220 phase=C_full_covt[Dataset] cur_step=5220 phase=C_full_covt + +[Dataset] cur_step=5220 phase=C_full_covt +[Dataset] cur_step=5220 phase=C_full_covt +[Dataset] cur_step=5220 phase=C_full_covt + 58%|█████████████████▍ | 5220/9000 [3:31:32<4:23:07, 4.18s/it][Dataset] cur_step=5220 phase=C_full_covt + {'loss': '3.37', 'grad_norm': '2.067', 'learning_rate': '2.048e-05', 'epoch': '0.1878'} + 58%|█████████████████▍ | 5220/9000 [3:31:32<4:23:07, 4.18s/it] {'lm_loss': '0.884', 'visual_loss': '2.689', 'seg_loss': '0.7282', 'dino_loss': '0.8869', 'depth_loss': '0.2928', 'vggt_mse_loss': '0.2908', 'vggt_cos_loss': '0.02083', 'pidinet_loss': '0.2112', 'siglip_loss': '0.5701', 'epoch': '0.1878'} + 58%|█████████████████▍ | 5220/9000 [3:31:35<4:23:07, 4.18s/it][Dataset] cur_step=5221 phase=C_full_covt[Dataset] cur_step=5221 phase=C_full_covt + +[Dataset] cur_step=5221 phase=C_full_covt +[Dataset] cur_step=5221 phase=C_full_covt[Dataset] cur_step=5221 phase=C_full_covt + +[Dataset] cur_step=5221 phase=C_full_covt +[Dataset] cur_step=5221 phase=C_full_covt +[Dataset] cur_step=5221 phase=C_full_covt + 58%|█████████████████▍ | 5221/9000 [3:31:36<4:17:18, 4.09s/it] {'loss': '3.5', 'grad_norm': '2.287', 'learning_rate': '2.047e-05', 'epoch': '0.1878'} + 58%|█████████████████▍ | 5221/9000 [3:31:36<4:17:18, 4.09s/it] {'lm_loss': '0.3636', 'visual_loss': '2.616', 'seg_loss': '0.7158', 'dino_loss': '0.9035', 'depth_loss': '0.3189', 'vggt_mse_loss': '0.3168', 'vggt_cos_loss': '0.02005', 'pidinet_loss': '0.1992', 'siglip_loss': '0.4785', 'epoch': '0.1878'} + 58%|█████████████████▍ | 5221/9000 [3:31:39<4:17:18, 4.09s/it][Dataset] cur_step=5222 phase=C_full_covt +[Dataset] cur_step=5222 phase=C_full_covt +[Dataset] cur_step=5222 phase=C_full_covt[Dataset] cur_step=5222 phase=C_full_covt + +[Dataset] cur_step=5222 phase=C_full_covt[Dataset] cur_step=5222 phase=C_full_covt[Dataset] cur_step=5222 phase=C_full_covt + + + 58%|█████████████████▍ | 5222/9000 [3:31:40<4:12:23, 4.01s/it][Dataset] cur_step=5222 phase=C_full_covt + {'loss': '3.297', 'grad_norm': '4.055', 'learning_rate': '2.046e-05', 'epoch': '0.1879'} + 58%|█████████████████▍ | 5222/9000 [3:31:40<4:12:23, 4.01s/it] {'lm_loss': '0.139', 'visual_loss': '2.731', 'seg_loss': '0.7806', 'dino_loss': '0.9319', 'depth_loss': '0.2704', 'vggt_mse_loss': '0.2683', 'vggt_cos_loss': '0.02075', 'pidinet_loss': '0.2263', 'siglip_loss': '0.5214', 'epoch': '0.1879'} + 58%|█████████████████▍ | 5222/9000 [3:31:43<4:12:23, 4.01s/it][Dataset] cur_step=5223 phase=C_full_covt[Dataset] cur_step=5223 phase=C_full_covt + +[Dataset] cur_step=5223 phase=C_full_covt 58%|█████████████████▍ | 5223/9000 [3:31:43<4:05:36, 3.90s/it][Dataset] cur_step=5223 phase=C_full_covt +[Dataset] cur_step=5223 phase=C_full_covt + +[Dataset] cur_step=5223 phase=C_full_covt +[Dataset] cur_step=5223 phase=C_full_covt +[Dataset] cur_step=5223 phase=C_full_covt + {'loss': '3.247', 'grad_norm': '1.965', 'learning_rate': '2.045e-05', 'epoch': '0.1879'} + 58%|█████████████████▍ | 5223/9000 [3:31:43<4:05:36, 3.90s/it] {'lm_loss': '0.556', 'visual_loss': '2.661', 'seg_loss': '0.8', 'dino_loss': '0.91', 'depth_loss': '0.2633', 'vggt_mse_loss': '0.2615', 'vggt_cos_loss': '0.01801', 'pidinet_loss': '0.2547', 'siglip_loss': '0.433', 'epoch': '0.1879'} + 58%|█████████████████▍ | 5223/9000 [3:31:47<4:05:36, 3.90s/it][Dataset] cur_step=5224 phase=C_full_covt[Dataset] cur_step=5224 phase=C_full_covt + + 58%|█████████████████▍ | 5224/9000 [3:31:47<4:06:38, 3.92s/it][Dataset] cur_step=5224 phase=C_full_covt +[Dataset] cur_step=5224 phase=C_full_covt +[Dataset] cur_step=5224 phase=C_full_covt[Dataset] cur_step=5224 phase=C_full_covt + +[Dataset] cur_step=5224 phase=C_full_covt +[Dataset] cur_step=5224 phase=C_full_covt + {'loss': '3.162', 'grad_norm': '1.789', 'learning_rate': '2.044e-05', 'epoch': '0.1879'} + 58%|█████████████████▍ | 5224/9000 [3:31:47<4:06:38, 3.92s/it] {'lm_loss': '0.9726', 'visual_loss': '2.728', 'seg_loss': '0.6983', 'dino_loss': '0.9158', 'depth_loss': '0.2511', 'vggt_mse_loss': '0.2493', 'vggt_cos_loss': '0.01801', 'pidinet_loss': '0.2491', 'siglip_loss': '0.6143', 'epoch': '0.1879'} + 58%|█████████████████▍ | 5224/9000 [3:31:51<4:06:38, 3.92s/it][Dataset] cur_step=5225 phase=C_full_covt +[Dataset] cur_step=5225 phase=C_full_covt[Dataset] cur_step=5225 phase=C_full_covt + +[Dataset] cur_step=5225 phase=C_full_covt +[Dataset] cur_step=5225 phase=C_full_covt +[Dataset] cur_step=5225 phase=C_full_covt[Dataset] cur_step=5225 phase=C_full_covt + +[Dataset] cur_step=5225 phase=C_full_covt 58%|█████████████████▍ | 5225/9000 [3:31:51<4:08:00, 3.94s/it] + {'loss': '3.381', 'grad_norm': '3.027', 'learning_rate': '2.043e-05', 'epoch': '0.188'} + 58%|█████████████████▍ | 5225/9000 [3:31:51<4:08:00, 3.94s/it] {'lm_loss': '0.7775', 'visual_loss': '2.431', 'seg_loss': '0.6228', 'dino_loss': '0.902', 'depth_loss': '0.2461', 'vggt_mse_loss': '0.2446', 'vggt_cos_loss': '0.01489', 'pidinet_loss': '0.2068', 'siglip_loss': '0.4533', 'epoch': '0.188'} + 58%|█████████████████▍ | 5225/9000 [3:31:58<4:08:00, 3.94s/it][Dataset] cur_step=5226 phase=C_full_covt + 58%|█████████████████▍ | 5226/9000 [3:31:58<5:03:20, 4.82s/it][Dataset] cur_step=5226 phase=C_full_covt +[Dataset] cur_step=5226 phase=C_full_covt +[Dataset] cur_step=5226 phase=C_full_covt +[Dataset] cur_step=5226 phase=C_full_covt[Dataset] cur_step=5226 phase=C_full_covt + +[Dataset] cur_step=5226 phase=C_full_covt +[Dataset] cur_step=5226 phase=C_full_covt + {'loss': '2.96', 'grad_norm': '1.994', 'learning_rate': '2.042e-05', 'epoch': '0.188'} + 58%|█████████████████▍ | 5226/9000 [3:31:58<5:03:20, 4.82s/it] {'lm_loss': '0.008455', 'visual_loss': '2.748', 'seg_loss': '0.7578', 'dino_loss': '0.9192', 'depth_loss': '0.3729', 'vggt_mse_loss': '0.37', 'vggt_cos_loss': '0.02898', 'pidinet_loss': '0.2175', 'siglip_loss': '0.4804', 'epoch': '0.188'} + 58%|█████████████████▍ | 5226/9000 [3:32:01<5:03:20, 4.82s/it][Dataset] cur_step=5227 phase=C_full_covt +[Dataset] cur_step=5227 phase=C_full_covt[Dataset] cur_step=5227 phase=C_full_covt +[Dataset] cur_step=5227 phase=C_full_covt + +[Dataset] cur_step=5227 phase=C_full_covt +[Dataset] cur_step=5227 phase=C_full_covt[Dataset] cur_step=5227 phase=C_full_covt + +[Dataset] cur_step=5227 phase=C_full_covt + 58%|█████████████████▍ | 5227/9000 [3:32:02<4:45:32, 4.54s/it] {'loss': '3.107', 'grad_norm': '13.05', 'learning_rate': '2.041e-05', 'epoch': '0.188'} + 58%|█████████████████▍ | 5227/9000 [3:32:02<4:45:32, 4.54s/it] {'lm_loss': '0.3014', 'visual_loss': '2.861', 'seg_loss': '0.8443', 'dino_loss': '0.9383', 'depth_loss': '0.2968', 'vggt_mse_loss': '0.2945', 'vggt_cos_loss': '0.02273', 'pidinet_loss': '0.2395', 'siglip_loss': '0.5421', 'epoch': '0.188'} + 58%|█████████████████▍ | 5227/9000 [3:32:05<4:45:32, 4.54s/it][Dataset] cur_step=5228 phase=C_full_covt +[Dataset] cur_step=5228 phase=C_full_covt +[Dataset] cur_step=5228 phase=C_full_covt[Dataset] cur_step=5228 phase=C_full_covt[Dataset] cur_step=5228 phase=C_full_covt + + +[Dataset] cur_step=5228 phase=C_full_covt + 58%|█████████████████▍ | 5228/9000 [3:32:06<4:39:24, 4.44s/it][Dataset] cur_step=5228 phase=C_full_covt +[Dataset] cur_step=5228 phase=C_full_covt + {'loss': '3.222', 'grad_norm': '5.254', 'learning_rate': '2.041e-05', 'epoch': '0.1881'} + 58%|█████████████████▍ | 5228/9000 [3:32:06<4:39:24, 4.44s/it] {'lm_loss': '0.7046', 'visual_loss': '2.789', 'seg_loss': '0.7575', 'dino_loss': '0.9092', 'depth_loss': '0.234', 'vggt_mse_loss': '0.2322', 'vggt_cos_loss': '0.01829', 'pidinet_loss': '0.2515', 'siglip_loss': '0.6371', 'epoch': '0.1881'} + 58%|█████████████████▍ | 5228/9000 [3:32:09<4:39:24, 4.44s/it][Dataset] cur_step=5229 phase=C_full_covt +[Dataset] cur_step=5229 phase=C_full_covt[Dataset] cur_step=5229 phase=C_full_covt[Dataset] cur_step=5229 phase=C_full_covt[Dataset] cur_step=5229 phase=C_full_covt + + + + 58%|█████████████████▍ | 5229/9000 [3:32:10<4:25:57, 4.23s/it][Dataset] cur_step=5229 phase=C_full_covt +[Dataset] cur_step=5229 phase=C_full_covt +[Dataset] cur_step=5229 phase=C_full_covt + {'loss': '3.231', 'grad_norm': '2.191', 'learning_rate': '2.04e-05', 'epoch': '0.1881'} + 58%|█████████████████▍ | 5229/9000 [3:32:10<4:25:57, 4.23s/it] {'lm_loss': '0.678', 'visual_loss': '2.706', 'seg_loss': '0.8301', 'dino_loss': '0.8571', 'depth_loss': '0.2797', 'vggt_mse_loss': '0.2779', 'vggt_cos_loss': '0.01753', 'pidinet_loss': '0.1946', 'siglip_loss': '0.544', 'epoch': '0.1881'} + 58%|█████████████████▍ | 5229/9000 [3:32:13<4:25:57, 4.23s/it][Dataset] cur_step=5230 phase=C_full_covt + 58%|█████████████████▍ | 5230/9000 [3:32:14<4:20:19, 4.14s/it][Dataset] cur_step=5230 phase=C_full_covt +[Dataset] cur_step=5230 phase=C_full_covt +[Dataset] cur_step=5230 phase=C_full_covt +[Dataset] cur_step=5230 phase=C_full_covt +[Dataset] cur_step=5230 phase=C_full_covt +[Dataset] cur_step=5230 phase=C_full_covt +[Dataset] cur_step=5230 phase=C_full_covt + {'loss': '3.048', 'grad_norm': '1.614', 'learning_rate': '2.039e-05', 'epoch': '0.1881'} + 58%|█████████████████▍ | 5230/9000 [3:32:14<4:20:19, 4.14s/it] {'lm_loss': '0.9393', 'visual_loss': '2.962', 'seg_loss': '0.7214', 'dino_loss': '0.9239', 'depth_loss': '0.4317', 'vggt_mse_loss': '0.428', 'vggt_cos_loss': '0.03684', 'pidinet_loss': '0.2611', 'siglip_loss': '0.6243', 'epoch': '0.1881'} + 58%|█████████████████▍ | 5230/9000 [3:32:17<4:20:19, 4.14s/it][Dataset] cur_step=5231 phase=C_full_covt +[Dataset] cur_step=5231 phase=C_full_covt +[Dataset] cur_step=5231 phase=C_full_covt +[Dataset] cur_step=5231 phase=C_full_covt +[Dataset] cur_step=5231 phase=C_full_covt[Dataset] cur_step=5231 phase=C_full_covt + +[Dataset] cur_step=5231 phase=C_full_covt +[Dataset] cur_step=5231 phase=C_full_covt + 58%|█████████████████▍ | 5231/9000 [3:32:18<4:21:36, 4.16s/it] {'loss': '3.228', 'grad_norm': '1.931', 'learning_rate': '2.038e-05', 'epoch': '0.1882'} + 58%|█████████████████▍ | 5231/9000 [3:32:18<4:21:36, 4.16s/it] {'lm_loss': '0.463', 'visual_loss': '2.742', 'seg_loss': '0.7492', 'dino_loss': '0.9177', 'depth_loss': '0.2894', 'vggt_mse_loss': '0.2872', 'vggt_cos_loss': '0.02128', 'pidinet_loss': '0.2355', 'siglip_loss': '0.55', 'epoch': '0.1882'} + 58%|█████████████████▍ | 5231/9000 [3:32:22<4:21:36, 4.16s/it][Dataset] cur_step=5232 phase=C_full_covt +[Dataset] cur_step=5232 phase=C_full_covt +[Dataset] cur_step=5232 phase=C_full_covt +[Dataset] cur_step=5232 phase=C_full_covt +[Dataset] cur_step=5232 phase=C_full_covt +[Dataset] cur_step=5232 phase=C_full_covt + 58%|█████████████████▍ | 5232/9000 [3:32:22<4:18:46, 4.12s/it][Dataset] cur_step=5232 phase=C_full_covt +[Dataset] cur_step=5232 phase=C_full_covt + {'loss': '3.07', 'grad_norm': '6.237', 'learning_rate': '2.037e-05', 'epoch': '0.1882'} + 58%|█████████████████▍ | 5232/9000 [3:32:22<4:18:46, 4.12s/it] {'lm_loss': '0.3092', 'visual_loss': '2.57', 'seg_loss': '0.6942', 'dino_loss': '0.9376', 'depth_loss': '0.2357', 'vggt_mse_loss': '0.2341', 'vggt_cos_loss': '0.01654', 'pidinet_loss': '0.2157', 'siglip_loss': '0.4872', 'epoch': '0.1882'} + 58%|█████████████████▍ | 5232/9000 [3:32:25<4:18:46, 4.12s/it][Dataset] cur_step=5233 phase=C_full_covt +[Dataset] cur_step=5233 phase=C_full_covt[Dataset] cur_step=5233 phase=C_full_covt + +[Dataset] cur_step=5233 phase=C_full_covt +[Dataset] cur_step=5233 phase=C_full_covt +[Dataset] cur_step=5233 phase=C_full_covt +[Dataset] cur_step=5233 phase=C_full_covt +[Dataset] cur_step=5233 phase=C_full_covt + 58%|█████████████████▍ | 5233/9000 [3:32:26<4:19:49, 4.14s/it] {'loss': '3.299', 'grad_norm': '2.079', 'learning_rate': '2.036e-05', 'epoch': '0.1883'} + 58%|█████████████████▍ | 5233/9000 [3:32:26<4:19:49, 4.14s/it] {'lm_loss': '0.4554', 'visual_loss': '2.819', 'seg_loss': '0.714', 'dino_loss': '0.8894', 'depth_loss': '0.3734', 'vggt_mse_loss': '0.3717', 'vggt_cos_loss': '0.0173', 'pidinet_loss': '0.191', 'siglip_loss': '0.6514', 'epoch': '0.1883'} + 58%|█████████████████▍ | 5233/9000 [3:32:29<4:19:49, 4.14s/it][Dataset] cur_step=5234 phase=C_full_covt[Dataset] cur_step=5234 phase=C_full_covt + +[Dataset] cur_step=5234 phase=C_full_covt +[Dataset] cur_step=5234 phase=C_full_covt +[Dataset] cur_step=5234 phase=C_full_covt +[Dataset] cur_step=5234 phase=C_full_covt +[Dataset] cur_step=5234 phase=C_full_covt +[Dataset] cur_step=5234 phase=C_full_covt + 58%|█████████████████▍ | 5234/9000 [3:32:30<4:12:28, 4.02s/it] {'loss': '3.256', 'grad_norm': '2.272', 'learning_rate': '2.035e-05', 'epoch': '0.1883'} + 58%|█████████████████▍ | 5234/9000 [3:32:30<4:12:28, 4.02s/it] {'lm_loss': '0.3517', 'visual_loss': '2.867', 'seg_loss': '0.7424', 'dino_loss': '0.9477', 'depth_loss': '0.3822', 'vggt_mse_loss': '0.3791', 'vggt_cos_loss': '0.03114', 'pidinet_loss': '0.1957', 'siglip_loss': '0.599', 'epoch': '0.1883'} + 58%|█████████████████▍ | 5234/9000 [3:32:34<4:12:28, 4.02s/it][Dataset] cur_step=5235 phase=C_full_covt +[Dataset] cur_step=5235 phase=C_full_covt +[Dataset] cur_step=5235 phase=C_full_covt +[Dataset] cur_step=5235 phase=C_full_covt[Dataset] cur_step=5235 phase=C_full_covt + + 58%|█████████████████▍ | 5235/9000 [3:32:34<4:12:05, 4.02s/it][Dataset] cur_step=5235 phase=C_full_covt +[Dataset] cur_step=5235 phase=C_full_covt[Dataset] cur_step=5235 phase=C_full_covt + + {'loss': '3.175', 'grad_norm': '2.186', 'learning_rate': '2.034e-05', 'epoch': '0.1883'} + 58%|█████████████████▍ | 5235/9000 [3:32:34<4:12:05, 4.02s/it] {'lm_loss': '0.004439', 'visual_loss': '2.601', 'seg_loss': '0.5911', 'dino_loss': '0.9218', 'depth_loss': '0.2342', 'vggt_mse_loss': '0.2327', 'vggt_cos_loss': '0.01429', 'pidinet_loss': '0.2423', 'siglip_loss': '0.6119', 'epoch': '0.1883'} + 58%|█████████████████▍ | 5235/9000 [3:32:38<4:12:05, 4.02s/it][Dataset] cur_step=5236 phase=C_full_covt +[Dataset] cur_step=5236 phase=C_full_covt +[Dataset] cur_step=5236 phase=C_full_covt[Dataset] cur_step=5236 phase=C_full_covt + + 58%|█████████████████▍ | 5236/9000 [3:32:38<4:16:56, 4.10s/it][Dataset] cur_step=5236 phase=C_full_covt +[Dataset] cur_step=5236 phase=C_full_covt +[Dataset] cur_step=5236 phase=C_full_covt +[Dataset] cur_step=5236 phase=C_full_covt + {'loss': '3.167', 'grad_norm': '1.532', 'learning_rate': '2.033e-05', 'epoch': '0.1884'} + 58%|█████████████████▍ | 5236/9000 [3:32:38<4:16:56, 4.10s/it] {'lm_loss': '0.5536', 'visual_loss': '2.76', 'seg_loss': '0.7491', 'dino_loss': '0.9336', 'depth_loss': '0.2034', 'vggt_mse_loss': '0.2021', 'vggt_cos_loss': '0.01296', 'pidinet_loss': '0.2331', 'siglip_loss': '0.6411', 'epoch': '0.1884'} + 58%|█████████████████▍ | 5236/9000 [3:32:42<4:16:56, 4.10s/it][Dataset] cur_step=5237 phase=C_full_covt +[Dataset] cur_step=5237 phase=C_full_covt +[Dataset] cur_step=5237 phase=C_full_covt +[Dataset] cur_step=5237 phase=C_full_covt +[Dataset] cur_step=5237 phase=C_full_covt +[Dataset] cur_step=5237 phase=C_full_covt +[Dataset] cur_step=5237 phase=C_full_covt +[Dataset] cur_step=5237 phase=C_full_covt + 58%|█████████████████▍ | 5237/9000 [3:32:42<4:15:45, 4.08s/it] {'loss': '3.155', 'grad_norm': '2.226', 'learning_rate': '2.032e-05', 'epoch': '0.1884'} + 58%|█████████████████▍ | 5237/9000 [3:32:42<4:15:45, 4.08s/it] {'lm_loss': '0.7954', 'visual_loss': '2.566', 'seg_loss': '0.5709', 'dino_loss': '0.8926', 'depth_loss': '0.2384', 'vggt_mse_loss': '0.2362', 'vggt_cos_loss': '0.02238', 'pidinet_loss': '0.2714', 'siglip_loss': '0.5923', 'epoch': '0.1884'} + 58%|█████████████████▍ | 5237/9000 [3:32:46<4:15:45, 4.08s/it][Dataset] cur_step=5238 phase=C_full_covt +[Dataset] cur_step=5238 phase=C_full_covt +[Dataset] cur_step=5238 phase=C_full_covt +[Dataset] cur_step=5238 phase=C_full_covt +[Dataset] cur_step=5238 phase=C_full_covt[Dataset] cur_step=5238 phase=C_full_covt[Dataset] cur_step=5238 phase=C_full_covt + + + 58%|█████████████████▍ | 5238/9000 [3:32:46<4:17:13, 4.10s/it][Dataset] cur_step=5238 phase=C_full_covt + {'loss': '3.426', 'grad_norm': '3.017', 'learning_rate': '2.032e-05', 'epoch': '0.1884'} + 58%|█████████████████▍ | 5238/9000 [3:32:46<4:17:13, 4.10s/it] {'lm_loss': '0.5097', 'visual_loss': '2.628', 'seg_loss': '0.7403', 'dino_loss': '0.8942', 'depth_loss': '0.2079', 'vggt_mse_loss': '0.2063', 'vggt_cos_loss': '0.01518', 'pidinet_loss': '0.2428', 'siglip_loss': '0.5432', 'epoch': '0.1884'} + 58%|█████████████████▍ | 5238/9000 [3:32:49<4:17:13, 4.10s/it][Dataset] cur_step=5239 phase=C_full_covt +[Dataset] cur_step=5239 phase=C_full_covt +[Dataset] cur_step=5239 phase=C_full_covt[Dataset] cur_step=5239 phase=C_full_covt + +[Dataset] cur_step=5239 phase=C_full_covt +[Dataset] cur_step=5239 phase=C_full_covt +[Dataset] cur_step=5239 phase=C_full_covt +[Dataset] cur_step=5239 phase=C_full_covt + 58%|█████████████████▍ | 5239/9000 [3:32:50<4:15:07, 4.07s/it] {'loss': '3.131', 'grad_norm': '2.525', 'learning_rate': '2.031e-05', 'epoch': '0.1885'} + 58%|█████████████████▍ | 5239/9000 [3:32:50<4:15:07, 4.07s/it] {'lm_loss': '0.5137', 'visual_loss': '2.838', 'seg_loss': '0.8656', 'dino_loss': '0.9097', 'depth_loss': '0.2551', 'vggt_mse_loss': '0.2535', 'vggt_cos_loss': '0.01595', 'pidinet_loss': '0.2286', 'siglip_loss': '0.5787', 'epoch': '0.1885'} + 58%|█████████████████▍ | 5239/9000 [3:32:54<4:15:07, 4.07s/it][Dataset] cur_step=5240 phase=C_full_covt +[Dataset] cur_step=5240 phase=C_full_covt +[Dataset] cur_step=5240 phase=C_full_covt +[Dataset] cur_step=5240 phase=C_full_covt +[Dataset] cur_step=5240 phase=C_full_covt[Dataset] cur_step=5240 phase=C_full_covt +[Dataset] cur_step=5240 phase=C_full_covt +[Dataset] cur_step=5240 phase=C_full_covt + + 58%|█████████████████▍ | 5240/9000 [3:32:54<4:08:14, 3.96s/it] {'loss': '3.328', 'grad_norm': '1.652', 'learning_rate': '2.03e-05', 'epoch': '0.1885'} + 58%|█████████████████▍ | 5240/9000 [3:32:54<4:08:14, 3.96s/it] {'lm_loss': '0.3573', 'visual_loss': '2.841', 'seg_loss': '0.7002', 'dino_loss': '0.914', 'depth_loss': '0.2651', 'vggt_mse_loss': '0.2632', 'vggt_cos_loss': '0.01904', 'pidinet_loss': '0.2686', 'siglip_loss': '0.6935', 'epoch': '0.1885'} + 58%|█████████████████▍ | 5240/9000 [3:32:58<4:08:14, 3.96s/it][Dataset] cur_step=5241 phase=C_full_covt +[Dataset] cur_step=5241 phase=C_full_covt +[Dataset] cur_step=5241 phase=C_full_covt[Dataset] cur_step=5241 phase=C_full_covt + + 58%|█████████████████▍ | 5241/9000 [3:32:58<4:10:56, 4.01s/it][Dataset] cur_step=5241 phase=C_full_covt[Dataset] cur_step=5241 phase=C_full_covt + +[Dataset] cur_step=5241 phase=C_full_covt +[Dataset] cur_step=5241 phase=C_full_covt + {'loss': '3.073', 'grad_norm': '2.076', 'learning_rate': '2.029e-05', 'epoch': '0.1885'} + 58%|█████████████████▍ | 5241/9000 [3:32:58<4:10:56, 4.01s/it] {'lm_loss': '0.6567', 'visual_loss': '2.795', 'seg_loss': '0.7276', 'dino_loss': '0.8955', 'depth_loss': '0.2703', 'vggt_mse_loss': '0.2684', 'vggt_cos_loss': '0.01896', 'pidinet_loss': '0.3034', 'siglip_loss': '0.5981', 'epoch': '0.1885'} + 58%|█████████████████▍ | 5241/9000 [3:33:01<4:10:56, 4.01s/it][Dataset] cur_step=5242 phase=C_full_covt +[Dataset] cur_step=5242 phase=C_full_covt +[Dataset] cur_step=5242 phase=C_full_covt +[Dataset] cur_step=5242 phase=C_full_covt +[Dataset] cur_step=5242 phase=C_full_covt +[Dataset] cur_step=5242 phase=C_full_covt +[Dataset] cur_step=5242 phase=C_full_covt 58%|█████████████████▍ | 5242/9000 [3:33:02<4:09:58, 3.99s/it] +[Dataset] cur_step=5242 phase=C_full_covt + {'loss': '3.028', 'grad_norm': '3.002', 'learning_rate': '2.028e-05', 'epoch': '0.1886'} + 58%|█████████████████▍ | 5242/9000 [3:33:02<4:09:58, 3.99s/it] {'lm_loss': '0.4788', 'visual_loss': '2.761', 'seg_loss': '0.7573', 'dino_loss': '0.9312', 'depth_loss': '0.2452', 'vggt_mse_loss': '0.2432', 'vggt_cos_loss': '0.01966', 'pidinet_loss': '0.2101', 'siglip_loss': '0.6172', 'epoch': '0.1886'} + 58%|█████████████████▍ | 5242/9000 [3:33:06<4:09:58, 3.99s/it][Dataset] cur_step=5243 phase=C_full_covt[Dataset] cur_step=5243 phase=C_full_covt + +[Dataset] cur_step=5243 phase=C_full_covt[Dataset] cur_step=5243 phase=C_full_covt 58%|█████████████████▍ | 5243/9000 [3:33:07<4:15:52, 4.09s/it] + +[Dataset] cur_step=5243 phase=C_full_covt +[Dataset] cur_step=5243 phase=C_full_covt +[Dataset] cur_step=5243 phase=C_full_covt +[Dataset] cur_step=5243 phase=C_full_covt + {'loss': '3.197', 'grad_norm': '2.511', 'learning_rate': '2.027e-05', 'epoch': '0.1886'} + 58%|█████████████████▍ | 5243/9000 [3:33:07<4:15:52, 4.09s/it] {'lm_loss': '0.9221', 'visual_loss': '2.914', 'seg_loss': '0.7087', 'dino_loss': '0.9319', 'depth_loss': '0.2868', 'vggt_mse_loss': '0.2847', 'vggt_cos_loss': '0.0211', 'pidinet_loss': '0.226', 'siglip_loss': '0.7609', 'epoch': '0.1886'} + 58%|█████████████████▍ | 5243/9000 [3:33:10<4:15:52, 4.09s/it][Dataset] cur_step=5244 phase=C_full_covt[Dataset] cur_step=5244 phase=C_full_covt + + 58%|█████████████████▍ | 5244/9000 [3:33:10<4:12:45, 4.04s/it][Dataset] cur_step=5244 phase=C_full_covt[Dataset] cur_step=5244 phase=C_full_covt[Dataset] cur_step=5244 phase=C_full_covt + + +[Dataset] cur_step=5244 phase=C_full_covt +[Dataset] cur_step=5244 phase=C_full_covt +[Dataset] cur_step=5244 phase=C_full_covt + {'loss': '3.204', 'grad_norm': '2.358', 'learning_rate': '2.026e-05', 'epoch': '0.1887'} + 58%|█████████████████▍ | 5244/9000 [3:33:10<4:12:45, 4.04s/it] {'lm_loss': '0.2622', 'visual_loss': '2.836', 'seg_loss': '0.7157', 'dino_loss': '0.9312', 'depth_loss': '0.2627', 'vggt_mse_loss': '0.2606', 'vggt_cos_loss': '0.02046', 'pidinet_loss': '0.2222', 'siglip_loss': '0.7038', 'epoch': '0.1887'} + 58%|█████████████████▍ | 5244/9000 [3:33:14<4:12:45, 4.04s/it][Dataset] cur_step=5245 phase=C_full_covt +[Dataset] cur_step=5245 phase=C_full_covt +[Dataset] cur_step=5245 phase=C_full_covt +[Dataset] cur_step=5245 phase=C_full_covt +[Dataset] cur_step=5245 phase=C_full_covt +[Dataset] cur_step=5245 phase=C_full_covt +[Dataset] cur_step=5245 phase=C_full_covt +[Dataset] cur_step=5245 phase=C_full_covt + 58%|█████████████████▍ | 5245/9000 [3:33:14<4:09:42, 3.99s/it] {'loss': '3.148', 'grad_norm': '2.117', 'learning_rate': '2.025e-05', 'epoch': '0.1887'} + 58%|█████████████████▍ | 5245/9000 [3:33:14<4:09:42, 3.99s/it] {'lm_loss': '0.2867', 'visual_loss': '2.622', 'seg_loss': '0.6907', 'dino_loss': '0.9073', 'depth_loss': '0.272', 'vggt_mse_loss': '0.2706', 'vggt_cos_loss': '0.01325', 'pidinet_loss': '0.211', 'siglip_loss': '0.5411', 'epoch': '0.1887'} + 58%|█████████████████▍ | 5245/9000 [3:33:18<4:09:42, 3.99s/it][Dataset] cur_step=5246 phase=C_full_covt +[Dataset] cur_step=5246 phase=C_full_covt +[Dataset] cur_step=5246 phase=C_full_covt[Dataset] cur_step=5246 phase=C_full_covt + + 58%|█████████████████▍ | 5246/9000 [3:33:18<4:06:05, 3.93s/it][Dataset] cur_step=5246 phase=C_full_covt +[Dataset] cur_step=5246 phase=C_full_covt +[Dataset] cur_step=5246 phase=C_full_covt +[Dataset] cur_step=5246 phase=C_full_covt + {'loss': '3.225', 'grad_norm': '1.494', 'learning_rate': '2.024e-05', 'epoch': '0.1887'} + 58%|█████████████████▍ | 5246/9000 [3:33:18<4:06:05, 3.93s/it] {'lm_loss': '0.0162', 'visual_loss': '2.671', 'seg_loss': '0.7491', 'dino_loss': '0.9107', 'depth_loss': '0.2816', 'vggt_mse_loss': '0.2795', 'vggt_cos_loss': '0.02087', 'pidinet_loss': '0.1998', 'siglip_loss': '0.5301', 'epoch': '0.1887'} + 58%|█████████████████▍ | 5246/9000 [3:33:21<4:06:05, 3.93s/it][Dataset] cur_step=5247 phase=C_full_covt +[Dataset] cur_step=5247 phase=C_full_covt +[Dataset] cur_step=5247 phase=C_full_covt +[Dataset] cur_step=5247 phase=C_full_covt +[Dataset] cur_step=5247 phase=C_full_covt +[Dataset] cur_step=5247 phase=C_full_covt[Dataset] cur_step=5247 phase=C_full_covt + + 58%|█████████████████▍ | 5247/9000 [3:33:22<4:11:17, 4.02s/it][Dataset] cur_step=5247 phase=C_full_covt + {'loss': '2.781', 'grad_norm': '3.299', 'learning_rate': '2.023e-05', 'epoch': '0.1888'} + 58%|█████████████████▍ | 5247/9000 [3:33:22<4:11:17, 4.02s/it] {'lm_loss': '0.4693', 'visual_loss': '3.175', 'seg_loss': '0.6664', 'dino_loss': '0.9085', 'depth_loss': '0.2527', 'vggt_mse_loss': '0.2511', 'vggt_cos_loss': '0.01612', 'pidinet_loss': '0.3332', 'siglip_loss': '1.014', 'epoch': '0.1888'} + 58%|█████████████████▍ | 5247/9000 [3:33:26<4:11:17, 4.02s/it][Dataset] cur_step=5248 phase=C_full_covt[Dataset] cur_step=5248 phase=C_full_covt[Dataset] cur_step=5248 phase=C_full_covt + + + 58%|█████████████████▍ | 5248/9000 [3:33:26<4:10:50, 4.01s/it][Dataset] cur_step=5248 phase=C_full_covt +[Dataset] cur_step=5248 phase=C_full_covt +[Dataset] cur_step=5248 phase=C_full_covt[Dataset] cur_step=5248 phase=C_full_covt + +[Dataset] cur_step=5248 phase=C_full_covt + {'loss': '3.158', 'grad_norm': '2.444', 'learning_rate': '2.023e-05', 'epoch': '0.1888'} + 58%|█████████████████▍ | 5248/9000 [3:33:26<4:10:50, 4.01s/it] {'lm_loss': '0.006667', 'visual_loss': '2.794', 'seg_loss': '0.8063', 'dino_loss': '0.9013', 'depth_loss': '0.2756', 'vggt_mse_loss': '0.2736', 'vggt_cos_loss': '0.01973', 'pidinet_loss': '0.2285', 'siglip_loss': '0.5823', 'epoch': '0.1888'} + 58%|█████████████████▍ | 5248/9000 [3:33:29<4:10:50, 4.01s/it][Dataset] cur_step=5249 phase=C_full_covt[Dataset] cur_step=5249 phase=C_full_covt + +[Dataset] cur_step=5249 phase=C_full_covt +[Dataset] cur_step=5249 phase=C_full_covt[Dataset] cur_step=5249 phase=C_full_covt + +[Dataset] cur_step=5249 phase=C_full_covt +[Dataset] cur_step=5249 phase=C_full_covt + 58%|█████████████████▍ | 5249/9000 [3:33:33<4:56:10, 4.74s/it][Dataset] cur_step=5249 phase=C_full_covt + {'loss': '2.796', 'grad_norm': '2.775', 'learning_rate': '2.022e-05', 'epoch': '0.1888'} + 58%|█████████████████▍ | 5249/9000 [3:33:33<4:56:10, 4.74s/it] {'lm_loss': '0.488', 'visual_loss': '2.885', 'seg_loss': '0.8218', 'dino_loss': '0.8937', 'depth_loss': '0.257', 'vggt_mse_loss': '0.2553', 'vggt_cos_loss': '0.01711', 'pidinet_loss': '0.246', 'siglip_loss': '0.6662', 'epoch': '0.1888'} + 58%|█████████████████▍ | 5249/9000 [3:33:36<4:56:10, 4.74s/it][Dataset] cur_step=5250 phase=C_full_covt +[Dataset] cur_step=5250 phase=C_full_covt +[Dataset] cur_step=5250 phase=C_full_covt +[Dataset] cur_step=5250 phase=C_full_covt[Dataset] cur_step=5250 phase=C_full_covt + + 58%|█████████████████▌ | 5250/9000 [3:33:39<5:17:46, 5.08s/it][Dataset] cur_step=5250 phase=C_full_covt +[Dataset] cur_step=5250 phase=C_full_covt +[Dataset] cur_step=5250 phase=C_full_covt + {'loss': '3.243', 'grad_norm': '2.2', 'learning_rate': '2.021e-05', 'epoch': '0.1889'} + 58%|█████████████████▌ | 5250/9000 [3:33:39<5:17:46, 5.08s/it] {'lm_loss': '0.6283', 'visual_loss': '2.661', 'seg_loss': '0.7042', 'dino_loss': '0.9321', 'depth_loss': '0.2291', 'vggt_mse_loss': '0.2275', 'vggt_cos_loss': '0.0164', 'pidinet_loss': '0.2032', 'siglip_loss': '0.5923', 'epoch': '0.1889'} + 58%|█████████████████▌ | 5250/9000 [3:33:42<5:17:46, 5.08s/it][Dataset] cur_step=5251 phase=C_full_covt +[Dataset] cur_step=5251 phase=C_full_covt +[Dataset] cur_step=5251 phase=C_full_covt +[Dataset] cur_step=5251 phase=C_full_covt +[Dataset] cur_step=5251 phase=C_full_covt[Dataset] cur_step=5251 phase=C_full_covt + +[Dataset] cur_step=5251 phase=C_full_covt + 58%|█████████████████▌ | 5251/9000 [3:33:43<5:02:48, 4.85s/it][Dataset] cur_step=5251 phase=C_full_covt + {'loss': '3.093', 'grad_norm': '2.358', 'learning_rate': '2.02e-05', 'epoch': '0.1889'} + 58%|█████████████████▌ | 5251/9000 [3:33:43<5:02:48, 4.85s/it] {'lm_loss': '0.2661', 'visual_loss': '2.984', 'seg_loss': '0.7979', 'dino_loss': '0.9204', 'depth_loss': '0.3275', 'vggt_mse_loss': '0.3251', 'vggt_cos_loss': '0.02421', 'pidinet_loss': '0.241', 'siglip_loss': '0.6969', 'epoch': '0.1889'} + 58%|█████████████████▌ | 5251/9000 [3:33:46<5:02:48, 4.85s/it][Dataset] cur_step=5252 phase=C_full_covt +[Dataset] cur_step=5252 phase=C_full_covt +[Dataset] cur_step=5252 phase=C_full_covt +[Dataset] cur_step=5252 phase=C_full_covt[Dataset] cur_step=5252 phase=C_full_covt + +[Dataset] cur_step=5252 phase=C_full_covt[Dataset] cur_step=5252 phase=C_full_covt[Dataset] cur_step=5252 phase=C_full_covt + + + 58%|█████████████████▌ | 5252/9000 [3:33:47<4:48:22, 4.62s/it] {'loss': '3.202', 'grad_norm': '1.969', 'learning_rate': '2.019e-05', 'epoch': '0.1889'} + 58%|█████████████████▌ | 5252/9000 [3:33:47<4:48:22, 4.62s/it] {'lm_loss': '0.9195', 'visual_loss': '2.901', 'seg_loss': '0.775', 'dino_loss': '0.8988', 'depth_loss': '0.2459', 'vggt_mse_loss': '0.2439', 'vggt_cos_loss': '0.02013', 'pidinet_loss': '0.3063', 'siglip_loss': '0.6749', 'epoch': '0.1889'} + 58%|█████████████████▌ | 5252/9000 [3:33:50<4:48:22, 4.62s/it][Dataset] cur_step=5253 phase=C_full_covt[Dataset] cur_step=5253 phase=C_full_covt + +[Dataset] cur_step=5253 phase=C_full_covt +[Dataset] cur_step=5253 phase=C_full_covt[Dataset] cur_step=5253 phase=C_full_covt +[Dataset] cur_step=5253 phase=C_full_covt[Dataset] cur_step=5253 phase=C_full_covt + + + 58%|█████████████████▌ | 5253/9000 [3:33:51<4:34:12, 4.39s/it][Dataset] cur_step=5253 phase=C_full_covt + {'loss': '3.339', 'grad_norm': '2.883', 'learning_rate': '2.018e-05', 'epoch': '0.189'} + 58%|█████████████████▌ | 5253/9000 [3:33:51<4:34:12, 4.39s/it] {'lm_loss': '0.1295', 'visual_loss': '2.615', 'seg_loss': '0.6495', 'dino_loss': '0.9241', 'depth_loss': '0.2562', 'vggt_mse_loss': '0.2542', 'vggt_cos_loss': '0.02045', 'pidinet_loss': '0.2638', 'siglip_loss': '0.521', 'epoch': '0.189'} + 58%|█████████████████▌ | 5253/9000 [3:33:54<4:34:12, 4.39s/it][Dataset] cur_step=5254 phase=C_full_covt +[Dataset] cur_step=5254 phase=C_full_covt +[Dataset] cur_step=5254 phase=C_full_covt +[Dataset] cur_step=5254 phase=C_full_covt[Dataset] cur_step=5254 phase=C_full_covt + +[Dataset] cur_step=5254 phase=C_full_covt +[Dataset] cur_step=5254 phase=C_full_covt + 58%|█████████████████▌ | 5254/9000 [3:33:55<4:26:44, 4.27s/it][Dataset] cur_step=5254 phase=C_full_covt + {'loss': '3.159', 'grad_norm': '6.34', 'learning_rate': '2.017e-05', 'epoch': '0.189'} + 58%|█████████████████▌ | 5254/9000 [3:33:55<4:26:44, 4.27s/it] {'lm_loss': '0.5302', 'visual_loss': '2.772', 'seg_loss': '0.7462', 'dino_loss': '0.8917', 'depth_loss': '0.2748', 'vggt_mse_loss': '0.2727', 'vggt_cos_loss': '0.0212', 'pidinet_loss': '0.2652', 'siglip_loss': '0.5939', 'epoch': '0.189'} + 58%|█████████████████▌ | 5254/9000 [3:33:58<4:26:44, 4.27s/it][Dataset] cur_step=5255 phase=C_full_covt +[Dataset] cur_step=5255 phase=C_full_covt +[Dataset] cur_step=5255 phase=C_full_covt +[Dataset] cur_step=5255 phase=C_full_covt +[Dataset] cur_step=5255 phase=C_full_covt[Dataset] cur_step=5255 phase=C_full_covt + +[Dataset] cur_step=5255 phase=C_full_covt[Dataset] cur_step=5255 phase=C_full_covt + + 58%|█████████████████▌ | 5255/9000 [3:33:59<4:28:02, 4.29s/it] {'loss': '2.998', 'grad_norm': '3.146', 'learning_rate': '2.016e-05', 'epoch': '0.189'} + 58%|█████████████████▌ | 5255/9000 [3:33:59<4:28:02, 4.29s/it] {'lm_loss': '0.6961', 'visual_loss': '2.747', 'seg_loss': '0.7619', 'dino_loss': '0.9029', 'depth_loss': '0.3035', 'vggt_mse_loss': '0.301', 'vggt_cos_loss': '0.02461', 'pidinet_loss': '0.2234', 'siglip_loss': '0.5558', 'epoch': '0.189'} + 58%|█████████████████▌ | 5255/9000 [3:34:02<4:28:02, 4.29s/it][Dataset] cur_step=5256 phase=C_full_covt[Dataset] cur_step=5256 phase=C_full_covt[Dataset] cur_step=5256 phase=C_full_covt[Dataset] cur_step=5256 phase=C_full_covt + + + +[Dataset] cur_step=5256 phase=C_full_covt[Dataset] cur_step=5256 phase=C_full_covt + +[Dataset] cur_step=5256 phase=C_full_covt + 58%|█████████████████▌ | 5256/9000 [3:34:03<4:19:55, 4.17s/it][Dataset] cur_step=5256 phase=C_full_covt + {'loss': '3.187', 'grad_norm': '2.994', 'learning_rate': '2.015e-05', 'epoch': '0.1891'} + 58%|█████████████████▌ | 5256/9000 [3:34:03<4:19:55, 4.17s/it] {'lm_loss': '0.6536', 'visual_loss': '2.891', 'seg_loss': '0.6623', 'dino_loss': '0.9416', 'depth_loss': '0.2305', 'vggt_mse_loss': '0.2287', 'vggt_cos_loss': '0.01868', 'pidinet_loss': '0.3043', 'siglip_loss': '0.7526', 'epoch': '0.1891'} + 58%|█████████████████▌ | 5256/9000 [3:34:07<4:19:55, 4.17s/it][Dataset] cur_step=5257 phase=C_full_covt +[Dataset] cur_step=5257 phase=C_full_covt + 58%|█████████████████▌ | 5257/9000 [3:34:07<4:15:22, 4.09s/it][Dataset] cur_step=5257 phase=C_full_covt +[Dataset] cur_step=5257 phase=C_full_covt +[Dataset] cur_step=5257 phase=C_full_covt +[Dataset] cur_step=5257 phase=C_full_covt +[Dataset] cur_step=5257 phase=C_full_covt[Dataset] cur_step=5257 phase=C_full_covt + + {'loss': '3.389', 'grad_norm': '2.64', 'learning_rate': '2.014e-05', 'epoch': '0.1891'} + 58%|█████████████████▌ | 5257/9000 [3:34:07<4:15:22, 4.09s/it] {'lm_loss': '0.1475', 'visual_loss': '2.835', 'seg_loss': '0.7458', 'dino_loss': '0.9206', 'depth_loss': '0.256', 'vggt_mse_loss': '0.2546', 'vggt_cos_loss': '0.01371', 'pidinet_loss': '0.2585', 'siglip_loss': '0.654', 'epoch': '0.1891'} + 58%|█████████████████▌ | 5257/9000 [3:34:11<4:15:22, 4.09s/it][Dataset] cur_step=5258 phase=C_full_covt +[Dataset] cur_step=5258 phase=C_full_covt +[Dataset] cur_step=5258 phase=C_full_covt[Dataset] cur_step=5258 phase=C_full_covt + +[Dataset] cur_step=5258 phase=C_full_covt +[Dataset] cur_step=5258 phase=C_full_covt + 58%|█████████████████▌ | 5258/9000 [3:34:12<4:24:12, 4.24s/it][Dataset] cur_step=5258 phase=C_full_covt +[Dataset] cur_step=5258 phase=C_full_covt + {'loss': '2.967', 'grad_norm': '2.067', 'learning_rate': '2.014e-05', 'epoch': '0.1892'} + 58%|█████████████████▌ | 5258/9000 [3:34:12<4:24:12, 4.24s/it] {'lm_loss': '0.8041', 'visual_loss': '2.552', 'seg_loss': '0.7486', 'dino_loss': '0.8781', 'depth_loss': '0.2708', 'vggt_mse_loss': '0.2693', 'vggt_cos_loss': '0.01452', 'pidinet_loss': '0.2101', 'siglip_loss': '0.4447', 'epoch': '0.1892'} + 58%|█████████████████▌ | 5258/9000 [3:34:15<4:24:12, 4.24s/it][Dataset] cur_step=5259 phase=C_full_covt +[Dataset] cur_step=5259 phase=C_full_covt +[Dataset] cur_step=5259 phase=C_full_covt[Dataset] cur_step=5259 phase=C_full_covt + +[Dataset] cur_step=5259 phase=C_full_covt +[Dataset] cur_step=5259 phase=C_full_covt[Dataset] cur_step=5259 phase=C_full_covt + + 58%|█████████████████▌ | 5259/9000 [3:34:18<5:04:53, 4.89s/it][Dataset] cur_step=5259 phase=C_full_covt + {'loss': '3.282', 'grad_norm': '4.071', 'learning_rate': '2.013e-05', 'epoch': '0.1892'} + 58%|█████████████████▌ | 5259/9000 [3:34:18<5:04:53, 4.89s/it] {'lm_loss': '1.077', 'visual_loss': '2.668', 'seg_loss': '0.7495', 'dino_loss': '0.9305', 'depth_loss': '0.2557', 'vggt_mse_loss': '0.2534', 'vggt_cos_loss': '0.02233', 'pidinet_loss': '0.1916', 'siglip_loss': '0.5407', 'epoch': '0.1892'} + 58%|█████████████████▌ | 5259/9000 [3:34:21<5:04:53, 4.89s/it][Dataset] cur_step=5260 phase=C_full_covt +[Dataset] cur_step=5260 phase=C_full_covt +[Dataset] cur_step=5260 phase=C_full_covt +[Dataset] cur_step=5260 phase=C_full_covt +[Dataset] cur_step=5260 phase=C_full_covt +[Dataset] cur_step=5260 phase=C_full_covt +[Dataset] cur_step=5260 phase=C_full_covt + 58%|█████████████████▌ | 5260/9000 [3:34:22<4:44:39, 4.57s/it][Dataset] cur_step=5260 phase=C_full_covt + {'loss': '3.255', 'grad_norm': '3.279', 'learning_rate': '2.012e-05', 'epoch': '0.1892'} + 58%|█████████████████▌ | 5260/9000 [3:34:22<4:44:39, 4.57s/it] {'lm_loss': '0.1388', 'visual_loss': '3.152', 'seg_loss': '0.8807', 'dino_loss': '0.9307', 'depth_loss': '0.3778', 'vggt_mse_loss': '0.3757', 'vggt_cos_loss': '0.02123', 'pidinet_loss': '0.2369', 'siglip_loss': '0.7255', 'epoch': '0.1892'} + 58%|█████████████████▌ | 5260/9000 [3:34:25<4:44:39, 4.57s/it][Dataset] cur_step=5261 phase=C_full_covt[Dataset] cur_step=5261 phase=C_full_covt +[Dataset] cur_step=5261 phase=C_full_covt + +[Dataset] cur_step=5261 phase=C_full_covt[Dataset] cur_step=5261 phase=C_full_covt + +[Dataset] cur_step=5261 phase=C_full_covt + 58%|█████████████████▌ | 5261/9000 [3:34:26<4:31:32, 4.36s/it][Dataset] cur_step=5261 phase=C_full_covt +[Dataset] cur_step=5261 phase=C_full_covt + {'loss': '3.128', 'grad_norm': '5.313', 'learning_rate': '2.011e-05', 'epoch': '0.1893'} + 58%|█████████████████▌ | 5261/9000 [3:34:26<4:31:32, 4.36s/it] {'lm_loss': '0.6025', 'visual_loss': '2.294', 'seg_loss': '0.6095', 'dino_loss': '0.8886', 'depth_loss': '0.2314', 'vggt_mse_loss': '0.2301', 'vggt_cos_loss': '0.01393', 'pidinet_loss': '0.1671', 'siglip_loss': '0.3972', 'epoch': '0.1893'} + 58%|█████████████████▌ | 5261/9000 [3:34:29<4:31:32, 4.36s/it][Dataset] cur_step=5262 phase=C_full_covt +[Dataset] cur_step=5262 phase=C_full_covt +[Dataset] cur_step=5262 phase=C_full_covt + 58%|█████████████████▌ | 5262/9000 [3:34:30<4:27:15, 4.29s/it][Dataset] cur_step=5262 phase=C_full_covt +[Dataset] cur_step=5262 phase=C_full_covt +[Dataset] cur_step=5262 phase=C_full_covt +[Dataset] cur_step=5262 phase=C_full_covt +[Dataset] cur_step=5262 phase=C_full_covt + {'loss': '3.197', 'grad_norm': '1.987', 'learning_rate': '2.01e-05', 'epoch': '0.1893'} + 58%|█████████████████▌ | 5262/9000 [3:34:30<4:27:15, 4.29s/it] {'lm_loss': '0.7478', 'visual_loss': '2.882', 'seg_loss': '0.7973', 'dino_loss': '0.9493', 'depth_loss': '0.3016', 'vggt_mse_loss': '0.2996', 'vggt_cos_loss': '0.02079', 'pidinet_loss': '0.2895', 'siglip_loss': '0.5439', 'epoch': '0.1893'} + 58%|█████████████████▌ | 5262/9000 [3:34:33<4:27:15, 4.29s/it][Dataset] cur_step=5263 phase=C_full_covt[Dataset] cur_step=5263 phase=C_full_covt + +[Dataset] cur_step=5263 phase=C_full_covt[Dataset] cur_step=5263 phase=C_full_covt[Dataset] cur_step=5263 phase=C_full_covt + + + 58%|█████████████████▌ | 5263/9000 [3:34:34<4:22:07, 4.21s/it][Dataset] cur_step=5263 phase=C_full_covt[Dataset] cur_step=5263 phase=C_full_covt +[Dataset] cur_step=5263 phase=C_full_covt + + {'loss': '3.055', 'grad_norm': '4.664', 'learning_rate': '2.009e-05', 'epoch': '0.1893'} + 58%|█████████████████▌ | 5263/9000 [3:34:34<4:22:07, 4.21s/it] {'lm_loss': '0.00336', 'visual_loss': '2.546', 'seg_loss': '0.7866', 'dino_loss': '0.872', 'depth_loss': '0.2004', 'vggt_mse_loss': '0.1993', 'vggt_cos_loss': '0.01149', 'pidinet_loss': '0.2056', 'siglip_loss': '0.4813', 'epoch': '0.1893'} + 58%|█████████████████▌ | 5263/9000 [3:34:37<4:22:07, 4.21s/it][Dataset] cur_step=5264 phase=C_full_covt +[Dataset] cur_step=5264 phase=C_full_covt + 58%|█████████████████▌ | 5264/9000 [3:34:40<4:58:09, 4.79s/it][Dataset] cur_step=5264 phase=C_full_covt +[Dataset] cur_step=5264 phase=C_full_covt +[Dataset] cur_step=5264 phase=C_full_covt[Dataset] cur_step=5264 phase=C_full_covt + +[Dataset] cur_step=5264 phase=C_full_covt +[Dataset] cur_step=5264 phase=C_full_covt + {'loss': '3.151', 'grad_norm': '2.019', 'learning_rate': '2.008e-05', 'epoch': '0.1894'} + 58%|█████████████████▌ | 5264/9000 [3:34:40<4:58:09, 4.79s/it] {'lm_loss': '0.2224', 'visual_loss': '2.956', 'seg_loss': '0.746', 'dino_loss': '0.9188', 'depth_loss': '0.2789', 'vggt_mse_loss': '0.2774', 'vggt_cos_loss': '0.01499', 'pidinet_loss': '0.2802', 'siglip_loss': '0.7318', 'epoch': '0.1894'} + 58%|█████████████████▌ | 5264/9000 [3:34:43<4:58:09, 4.79s/it][Dataset] cur_step=5265 phase=C_full_covt +[Dataset] cur_step=5265 phase=C_full_covt +[Dataset] cur_step=5265 phase=C_full_covt +[Dataset] cur_step=5265 phase=C_full_covt +[Dataset] cur_step=5265 phase=C_full_covt +[Dataset] cur_step=5265 phase=C_full_covt +[Dataset] cur_step=5265 phase=C_full_covt +[Dataset] cur_step=5265 phase=C_full_covt + 58%|█████████████████▌ | 5265/9000 [3:34:46<5:25:42, 5.23s/it] {'loss': '3.126', 'grad_norm': '2.139', 'learning_rate': '2.007e-05', 'epoch': '0.1894'} + 58%|█████████████████▌ | 5265/9000 [3:34:46<5:25:42, 5.23s/it]Token indices sequence length is longer than the specified maximum sequence length for this model (1083 > 1024). Running this sequence through the model will result in indexing errors + {'lm_loss': '0.8037', 'visual_loss': '2.643', 'seg_loss': '0.7576', 'dino_loss': '0.9207', 'depth_loss': '0.2881', 'vggt_mse_loss': '0.286', 'vggt_cos_loss': '0.02129', 'pidinet_loss': '0.2419', 'siglip_loss': '0.4345', 'epoch': '0.1894'} + 58%|█████████████████▌ | 5265/9000 [3:34:50<5:25:42, 5.23s/it][Dataset] cur_step=5266 phase=C_full_covt +[Dataset] cur_step=5266 phase=C_full_covt +[Dataset] cur_step=5266 phase=C_full_covt +[Dataset] cur_step=5266 phase=C_full_covt + 59%|█████████████████▌ | 5266/9000 [3:34:50<5:00:00, 4.82s/it][Dataset] cur_step=5266 phase=C_full_covt +[Dataset] cur_step=5266 phase=C_full_covt +[Dataset] cur_step=5266 phase=C_full_covt +[Dataset] cur_step=5266 phase=C_full_covt + {'loss': '3.208', 'grad_norm': '6.975', 'learning_rate': '2.006e-05', 'epoch': '0.1894'} + 59%|█████████████████▌ | 5266/9000 [3:34:50<5:00:00, 4.82s/it] {'lm_loss': '0.2555', 'visual_loss': '2.556', 'seg_loss': '0.7403', 'dino_loss': '0.9171', 'depth_loss': '0.304', 'vggt_mse_loss': '0.3021', 'vggt_cos_loss': '0.01861', 'pidinet_loss': '0.2104', 'siglip_loss': '0.3845', 'epoch': '0.1894'} + 59%|█████████████████▌ | 5266/9000 [3:34:53<5:00:00, 4.82s/it][Dataset] cur_step=5267 phase=C_full_covt +[Dataset] cur_step=5267 phase=C_full_covt + 59%|█████████████████▌ | 5267/9000 [3:34:54<4:40:47, 4.51s/it][Dataset] cur_step=5267 phase=C_full_covt +[Dataset] cur_step=5267 phase=C_full_covt +[Dataset] cur_step=5267 phase=C_full_covt +[Dataset] cur_step=5267 phase=C_full_covt +[Dataset] cur_step=5267 phase=C_full_covt +[Dataset] cur_step=5267 phase=C_full_covt + {'loss': '3.032', 'grad_norm': '1.659', 'learning_rate': '2.005e-05', 'epoch': '0.1895'} + 59%|█████████████████▌ | 5267/9000 [3:34:54<4:40:47, 4.51s/it] {'lm_loss': '0.4596', 'visual_loss': '2.361', 'seg_loss': '0.5563', 'dino_loss': '0.8849', 'depth_loss': '0.2553', 'vggt_mse_loss': '0.253', 'vggt_cos_loss': '0.02284', 'pidinet_loss': '0.2471', 'siglip_loss': '0.4172', 'epoch': '0.1895'} + 59%|█████████████████▌ | 5267/9000 [3:34:58<4:40:47, 4.51s/it][Dataset] cur_step=5268 phase=C_full_covt + 59%|█████████████████▌ | 5268/9000 [3:34:58<4:33:11, 4.39s/it][Dataset] cur_step=5268 phase=C_full_covt +[Dataset] cur_step=5268 phase=C_full_covt +[Dataset] cur_step=5268 phase=C_full_covt +[Dataset] cur_step=5268 phase=C_full_covt +[Dataset] cur_step=5268 phase=C_full_covt[Dataset] cur_step=5268 phase=C_full_covt + +[Dataset] cur_step=5268 phase=C_full_covt + {'loss': '3.255', 'grad_norm': '2.344', 'learning_rate': '2.005e-05', 'epoch': '0.1895'} + 59%|█████████████████▌ | 5268/9000 [3:34:58<4:33:11, 4.39s/it] {'lm_loss': '0.6704', 'visual_loss': '2.565', 'seg_loss': '0.6171', 'dino_loss': '0.9088', 'depth_loss': '0.2082', 'vggt_mse_loss': '0.2069', 'vggt_cos_loss': '0.01245', 'pidinet_loss': '0.2739', 'siglip_loss': '0.5575', 'epoch': '0.1895'} + 59%|█████████████████▌ | 5268/9000 [3:35:02<4:33:11, 4.39s/it][Dataset] cur_step=5269 phase=C_full_covt +[Dataset] cur_step=5269 phase=C_full_covt +[Dataset] cur_step=5269 phase=C_full_covt + 59%|█████████████████▌ | 5269/9000 [3:35:02<4:25:56, 4.28s/it][Dataset] cur_step=5269 phase=C_full_covt +[Dataset] cur_step=5269 phase=C_full_covt +[Dataset] cur_step=5269 phase=C_full_covt +[Dataset] cur_step=5269 phase=C_full_covt +[Dataset] cur_step=5269 phase=C_full_covt + {'loss': '3.162', 'grad_norm': '2.952', 'learning_rate': '2.004e-05', 'epoch': '0.1896'} + 59%|█████████████████▌ | 5269/9000 [3:35:02<4:25:56, 4.28s/it] {'lm_loss': '0.02259', 'visual_loss': '2.757', 'seg_loss': '0.724', 'dino_loss': '0.8963', 'depth_loss': '0.205', 'vggt_mse_loss': '0.2034', 'vggt_cos_loss': '0.01623', 'pidinet_loss': '0.1753', 'siglip_loss': '0.7561', 'epoch': '0.1896'} + 59%|█████████████████▌ | 5269/9000 [3:35:06<4:25:56, 4.28s/it][Dataset] cur_step=5270 phase=C_full_covt +[Dataset] cur_step=5270 phase=C_full_covt 59%|█████████████████▌ | 5270/9000 [3:35:06<4:20:10, 4.19s/it] +[Dataset] cur_step=5270 phase=C_full_covt +[Dataset] cur_step=5270 phase=C_full_covt +[Dataset] cur_step=5270 phase=C_full_covt +[Dataset] cur_step=5270 phase=C_full_covt[Dataset] cur_step=5270 phase=C_full_covt +[Dataset] cur_step=5270 phase=C_full_covt + + {'loss': '3.088', 'grad_norm': '3.42', 'learning_rate': '2.003e-05', 'epoch': '0.1896'} + 59%|█████████████████▌ | 5270/9000 [3:35:06<4:20:10, 4.19s/it] {'lm_loss': '1.086', 'visual_loss': '2.727', 'seg_loss': '0.6175', 'dino_loss': '0.8678', 'depth_loss': '0.2443', 'vggt_mse_loss': '0.2425', 'vggt_cos_loss': '0.01755', 'pidinet_loss': '0.3318', 'siglip_loss': '0.666', 'epoch': '0.1896'} + 59%|█████████████████▌ | 5270/9000 [3:35:10<4:20:10, 4.19s/it][Dataset] cur_step=5271 phase=C_full_covt +[Dataset] cur_step=5271 phase=C_full_covt + 59%|█████████████████▌ | 5271/9000 [3:35:10<4:22:46, 4.23s/it][Dataset] cur_step=5271 phase=C_full_covt +[Dataset] cur_step=5271 phase=C_full_covt[Dataset] cur_step=5271 phase=C_full_covt + +[Dataset] cur_step=5271 phase=C_full_covt[Dataset] cur_step=5271 phase=C_full_covt + +[Dataset] cur_step=5271 phase=C_full_covt + {'loss': '3.229', 'grad_norm': '2.237', 'learning_rate': '2.002e-05', 'epoch': '0.1896'} + 59%|█████████████████▌ | 5271/9000 [3:35:10<4:22:46, 4.23s/it] {'lm_loss': '0.496', 'visual_loss': '2.817', 'seg_loss': '0.5392', 'dino_loss': '0.8935', 'depth_loss': '0.2547', 'vggt_mse_loss': '0.2527', 'vggt_cos_loss': '0.02', 'pidinet_loss': '0.3062', 'siglip_loss': '0.823', 'epoch': '0.1896'} + 59%|█████████████████▌ | 5271/9000 [3:35:14<4:22:46, 4.23s/it][Dataset] cur_step=5272 phase=C_full_covt +[Dataset] cur_step=5272 phase=C_full_covt +[Dataset] cur_step=5272 phase=C_full_covt[Dataset] cur_step=5272 phase=C_full_covt + + 59%|█████████████████▌ | 5272/9000 [3:35:14<4:21:13, 4.20s/it][Dataset] cur_step=5272 phase=C_full_covt +[Dataset] cur_step=5272 phase=C_full_covt +[Dataset] cur_step=5272 phase=C_full_covt +[Dataset] cur_step=5272 phase=C_full_covt + {'loss': '3.008', 'grad_norm': '1.531', 'learning_rate': '2.001e-05', 'epoch': '0.1897'} + 59%|█████████████████▌ | 5272/9000 [3:35:14<4:21:13, 4.20s/it] {'lm_loss': '0.06136', 'visual_loss': '2.701', 'seg_loss': '0.6919', 'dino_loss': '0.9245', 'depth_loss': '0.2095', 'vggt_mse_loss': '0.208', 'vggt_cos_loss': '0.01475', 'pidinet_loss': '0.2945', 'siglip_loss': '0.5811', 'epoch': '0.1897'} + 59%|█████████████████▌ | 5272/9000 [3:35:17<4:21:13, 4.20s/it][Dataset] cur_step=5273 phase=C_full_covt +[Dataset] cur_step=5273 phase=C_full_covt[Dataset] cur_step=5273 phase=C_full_covt + +[Dataset] cur_step=5273 phase=C_full_covt[Dataset] cur_step=5273 phase=C_full_covt + + 59%|█████████████████▌ | 5273/9000 [3:35:18<4:12:45, 4.07s/it][Dataset] cur_step=5273 phase=C_full_covt +[Dataset] cur_step=5273 phase=C_full_covt +[Dataset] cur_step=5273 phase=C_full_covt + {'loss': '3.067', 'grad_norm': '2.107', 'learning_rate': '2e-05', 'epoch': '0.1897'} + 59%|█████████████████▌ | 5273/9000 [3:35:18<4:12:45, 4.07s/it] {'lm_loss': '0.5454', 'visual_loss': '2.801', 'seg_loss': '0.7839', 'dino_loss': '0.8977', 'depth_loss': '0.2675', 'vggt_mse_loss': '0.2655', 'vggt_cos_loss': '0.02055', 'pidinet_loss': '0.2204', 'siglip_loss': '0.6314', 'epoch': '0.1897'} + 59%|█████████████████▌ | 5273/9000 [3:35:21<4:12:45, 4.07s/it][Dataset] cur_step=5274 phase=C_full_covt +[Dataset] cur_step=5274 phase=C_full_covt +[Dataset] cur_step=5274 phase=C_full_covt[Dataset] cur_step=5274 phase=C_full_covt + +[Dataset] cur_step=5274 phase=C_full_covt[Dataset] cur_step=5274 phase=C_full_covt + + 59%|█████████████████▌ | 5274/9000 [3:35:22<4:10:45, 4.04s/it][Dataset] cur_step=5274 phase=C_full_covt +[Dataset] cur_step=5274 phase=C_full_covt + {'loss': '3.255', 'grad_norm': '2.857', 'learning_rate': '1.999e-05', 'epoch': '0.1897'} + 59%|█████████████████▌ | 5274/9000 [3:35:22<4:10:45, 4.04s/it] {'lm_loss': '0.7839', 'visual_loss': '2.534', 'seg_loss': '0.5842', 'dino_loss': '0.8894', 'depth_loss': '0.3032', 'vggt_mse_loss': '0.3014', 'vggt_cos_loss': '0.01859', 'pidinet_loss': '0.1969', 'siglip_loss': '0.5598', 'epoch': '0.1897'} + 59%|█████████████████▌ | 5274/9000 [3:35:26<4:10:45, 4.04s/it][Dataset] cur_step=5275 phase=C_full_covt +[Dataset] cur_step=5275 phase=C_full_covt +[Dataset] cur_step=5275 phase=C_full_covt + 59%|█████████████████▌ | 5275/9000 [3:35:26<4:10:40, 4.04s/it][Dataset] cur_step=5275 phase=C_full_covt +[Dataset] cur_step=5275 phase=C_full_covt[Dataset] cur_step=5275 phase=C_full_covt + +[Dataset] cur_step=5275 phase=C_full_covt +[Dataset] cur_step=5275 phase=C_full_covt + {'loss': '3.201', 'grad_norm': '19.21', 'learning_rate': '1.998e-05', 'epoch': '0.1898'} + 59%|█████████████████▌ | 5275/9000 [3:35:26<4:10:40, 4.04s/it] {'lm_loss': '0.4262', 'visual_loss': '2.383', 'seg_loss': '0.6051', 'dino_loss': '0.8781', 'depth_loss': '0.2246', 'vggt_mse_loss': '0.2231', 'vggt_cos_loss': '0.01487', 'pidinet_loss': '0.2052', 'siglip_loss': '0.4696', 'epoch': '0.1898'} + 59%|█████████████████▌ | 5275/9000 [3:35:29<4:10:40, 4.04s/it][Dataset] cur_step=5276 phase=C_full_covt +[Dataset] cur_step=5276 phase=C_full_covt +[Dataset] cur_step=5276 phase=C_full_covt[Dataset] cur_step=5276 phase=C_full_covt + + 59%|█████████████████▌ | 5276/9000 [3:35:30<4:09:07, 4.01s/it][Dataset] cur_step=5276 phase=C_full_covt +[Dataset] cur_step=5276 phase=C_full_covt +[Dataset] cur_step=5276 phase=C_full_covt +[Dataset] cur_step=5276 phase=C_full_covt + {'loss': '3.074', 'grad_norm': '2.396', 'learning_rate': '1.997e-05', 'epoch': '0.1898'} + 59%|█████████████████▌ | 5276/9000 [3:35:30<4:09:07, 4.01s/it] {'lm_loss': '0.005654', 'visual_loss': '2.275', 'seg_loss': '0.6585', 'dino_loss': '0.8767', 'depth_loss': '0.2431', 'vggt_mse_loss': '0.2417', 'vggt_cos_loss': '0.01403', 'pidinet_loss': '0.1512', 'siglip_loss': '0.3451', 'epoch': '0.1898'} + 59%|█████████████████▌ | 5276/9000 [3:35:33<4:09:07, 4.01s/it][Dataset] cur_step=5277 phase=C_full_covt +[Dataset] cur_step=5277 phase=C_full_covt +[Dataset] cur_step=5277 phase=C_full_covt +[Dataset] cur_step=5277 phase=C_full_covt +[Dataset] cur_step=5277 phase=C_full_covt +[Dataset] cur_step=5277 phase=C_full_covt +[Dataset] cur_step=5277 phase=C_full_covt + 59%|█████████████████▌ | 5277/9000 [3:35:34<4:05:51, 3.96s/it][Dataset] cur_step=5277 phase=C_full_covt + {'loss': '2.981', 'grad_norm': '1.71', 'learning_rate': '1.996e-05', 'epoch': '0.1898'} + 59%|█████████████████▌ | 5277/9000 [3:35:34<4:05:51, 3.96s/it] {'lm_loss': '0.03901', 'visual_loss': '2.707', 'seg_loss': '0.7412', 'dino_loss': '0.9128', 'depth_loss': '0.2815', 'vggt_mse_loss': '0.2794', 'vggt_cos_loss': '0.02182', 'pidinet_loss': '0.2235', 'siglip_loss': '0.5479', 'epoch': '0.1898'} + 59%|█████████████████▌ | 5277/9000 [3:35:37<4:05:51, 3.96s/it][Dataset] cur_step=5278 phase=C_full_covt +[Dataset] cur_step=5278 phase=C_full_covt[Dataset] cur_step=5278 phase=C_full_covt[Dataset] cur_step=5278 phase=C_full_covt + + +[Dataset] cur_step=5278 phase=C_full_covt 59%|█████████████████▌ | 5278/9000 [3:35:38<4:00:00, 3.87s/it] +[Dataset] cur_step=5278 phase=C_full_covt +[Dataset] cur_step=5278 phase=C_full_covt +[Dataset] cur_step=5278 phase=C_full_covt + {'loss': '3.116', 'grad_norm': '4.369', 'learning_rate': '1.996e-05', 'epoch': '0.1899'} + 59%|█████████████████▌ | 5278/9000 [3:35:38<4:00:00, 3.87s/it] {'lm_loss': '0.3641', 'visual_loss': '2.586', 'seg_loss': '0.7348', 'dino_loss': '0.9001', 'depth_loss': '0.175', 'vggt_mse_loss': '0.1737', 'vggt_cos_loss': '0.01272', 'pidinet_loss': '0.168', 'siglip_loss': '0.6078', 'epoch': '0.1899'} + 59%|█████████████████▌ | 5278/9000 [3:35:41<4:00:00, 3.87s/it][Dataset] cur_step=5279 phase=C_full_covt[Dataset] cur_step=5279 phase=C_full_covt[Dataset] cur_step=5279 phase=C_full_covt + + +[Dataset] cur_step=5279 phase=C_full_covt[Dataset] cur_step=5279 phase=C_full_covt + 59%|█████████████████▌ | 5279/9000 [3:35:41<3:54:31, 3.78s/it] +[Dataset] cur_step=5279 phase=C_full_covt +[Dataset] cur_step=5279 phase=C_full_covt[Dataset] cur_step=5279 phase=C_full_covt + + {'loss': '3.038', 'grad_norm': '1.568', 'learning_rate': '1.995e-05', 'epoch': '0.1899'} + 59%|█████████████████▌ | 5279/9000 [3:35:41<3:54:31, 3.78s/it] {'lm_loss': '0.3887', 'visual_loss': '2.694', 'seg_loss': '0.7593', 'dino_loss': '0.9319', 'depth_loss': '0.191', 'vggt_mse_loss': '0.1896', 'vggt_cos_loss': '0.01381', 'pidinet_loss': '0.208', 'siglip_loss': '0.6034', 'epoch': '0.1899'} + 59%|█████████████████▌ | 5279/9000 [3:35:44<3:54:31, 3.78s/it][Dataset] cur_step=5280 phase=C_full_covt +[Dataset] cur_step=5280 phase=C_full_covt +[Dataset] cur_step=5280 phase=C_full_covt +[Dataset] cur_step=5280 phase=C_full_covt +[Dataset] cur_step=5280 phase=C_full_covt +[Dataset] cur_step=5280 phase=C_full_covt[Dataset] cur_step=5280 phase=C_full_covt + + 59%|█████████████████▌ | 5280/9000 [3:35:45<4:01:55, 3.90s/it][Dataset] cur_step=5280 phase=C_full_covt + {'loss': '3.101', 'grad_norm': '2.001', 'learning_rate': '1.994e-05', 'epoch': '0.1899'} + 59%|█████████████████▌ | 5280/9000 [3:35:45<4:01:55, 3.90s/it] {'lm_loss': '0.8286', 'visual_loss': '2.936', 'seg_loss': '0.6222', 'dino_loss': '0.933', 'depth_loss': '0.4438', 'vggt_mse_loss': '0.4404', 'vggt_cos_loss': '0.03423', 'pidinet_loss': '0.2649', 'siglip_loss': '0.6723', 'epoch': '0.1899'} + 59%|█████████████████▌ | 5280/9000 [3:35:49<4:01:55, 3.90s/it][Dataset] cur_step=5281 phase=C_full_covt +[Dataset] cur_step=5281 phase=C_full_covt +[Dataset] cur_step=5281 phase=C_full_covt +[Dataset] cur_step=5281 phase=C_full_covt + 59%|█████████████████▌ | 5281/9000 [3:35:49<4:01:58, 3.90s/it][Dataset] cur_step=5281 phase=C_full_covt +[Dataset] cur_step=5281 phase=C_full_covt +[Dataset] cur_step=5281 phase=C_full_covt +[Dataset] cur_step=5281 phase=C_full_covt + {'loss': '3.328', 'grad_norm': '2.216', 'learning_rate': '1.993e-05', 'epoch': '0.19'} + 59%|█████████████████▌ | 5281/9000 [3:35:49<4:01:58, 3.90s/it] {'lm_loss': '0.8087', 'visual_loss': '2.509', 'seg_loss': '0.705', 'dino_loss': '0.8881', 'depth_loss': '0.2388', 'vggt_mse_loss': '0.2374', 'vggt_cos_loss': '0.01434', 'pidinet_loss': '0.1754', 'siglip_loss': '0.5012', 'epoch': '0.19'} + 59%|█████████████████▌ | 5281/9000 [3:35:53<4:01:58, 3.90s/it][Dataset] cur_step=5282 phase=C_full_covt[Dataset] cur_step=5282 phase=C_full_covt[Dataset] cur_step=5282 phase=C_full_covt + + +[Dataset] cur_step=5282 phase=C_full_covt + 59%|█████████████████▌ | 5282/9000 [3:35:53<4:01:35, 3.90s/it][Dataset] cur_step=5282 phase=C_full_covt +[Dataset] cur_step=5282 phase=C_full_covt[Dataset] cur_step=5282 phase=C_full_covt + +[Dataset] cur_step=5282 phase=C_full_covt + {'loss': '3.274', 'grad_norm': '20.49', 'learning_rate': '1.992e-05', 'epoch': '0.19'} + 59%|█████████████████▌ | 5282/9000 [3:35:53<4:01:35, 3.90s/it] {'lm_loss': '0.4369', 'visual_loss': '2.845', 'seg_loss': '0.5055', 'dino_loss': '0.9334', 'depth_loss': '0.329', 'vggt_mse_loss': '0.3267', 'vggt_cos_loss': '0.02319', 'pidinet_loss': '0.2694', 'siglip_loss': '0.8071', 'epoch': '0.19'} + 59%|█████████████████▌ | 5282/9000 [3:35:57<4:01:35, 3.90s/it][Dataset] cur_step=5283 phase=C_full_covt[Dataset] cur_step=5283 phase=C_full_covt[Dataset] cur_step=5283 phase=C_full_covt[Dataset] cur_step=5283 phase=C_full_covt + + + + 59%|█████████████████▌ | 5283/9000 [3:35:57<4:00:49, 3.89s/it][Dataset] cur_step=5283 phase=C_full_covt[Dataset] cur_step=5283 phase=C_full_covt + +[Dataset] cur_step=5283 phase=C_full_covt +[Dataset] cur_step=5283 phase=C_full_covt + {'loss': '3.127', 'grad_norm': '1.75', 'learning_rate': '1.991e-05', 'epoch': '0.1901'} + 59%|█████████████████▌ | 5283/9000 [3:35:57<4:00:49, 3.89s/it] {'lm_loss': '0.271', 'visual_loss': '2.646', 'seg_loss': '0.8184', 'dino_loss': '0.9016', 'depth_loss': '0.1971', 'vggt_mse_loss': '0.1957', 'vggt_cos_loss': '0.01367', 'pidinet_loss': '0.2279', 'siglip_loss': '0.5011', 'epoch': '0.1901'} + 59%|█████████████████▌ | 5283/9000 [3:36:00<4:00:49, 3.89s/it][Dataset] cur_step=5284 phase=C_full_covt[Dataset] cur_step=5284 phase=C_full_covt + +[Dataset] cur_step=5284 phase=C_full_covt +[Dataset] cur_step=5284 phase=C_full_covt +[Dataset] cur_step=5284 phase=C_full_covt[Dataset] cur_step=5284 phase=C_full_covt + +[Dataset] cur_step=5284 phase=C_full_covt + 59%|█████████████████▌ | 5284/9000 [3:36:01<4:01:01, 3.89s/it][Dataset] cur_step=5284 phase=C_full_covt + {'loss': '3.22', 'grad_norm': '3.396', 'learning_rate': '1.99e-05', 'epoch': '0.1901'} + 59%|█████████████████▌ | 5284/9000 [3:36:01<4:01:01, 3.89s/it] {'lm_loss': '0.137', 'visual_loss': '2.752', 'seg_loss': '0.7868', 'dino_loss': '0.9291', 'depth_loss': '0.2336', 'vggt_mse_loss': '0.2317', 'vggt_cos_loss': '0.01892', 'pidinet_loss': '0.2472', 'siglip_loss': '0.5552', 'epoch': '0.1901'} + 59%|█████████████████▌ | 5284/9000 [3:36:07<4:01:01, 3.89s/it][Dataset] cur_step=5285 phase=C_full_covt + 59%|█████████████████▌ | 5285/9000 [3:36:07<4:39:50, 4.52s/it][Dataset] cur_step=5285 phase=C_full_covt +[Dataset] cur_step=5285 phase=C_full_covt +[Dataset] cur_step=5285 phase=C_full_covt +[Dataset] cur_step=5285 phase=C_full_covt +[Dataset] cur_step=5285 phase=C_full_covt +[Dataset] cur_step=5285 phase=C_full_covt +[Dataset] cur_step=5285 phase=C_full_covt + {'loss': '3.38', 'grad_norm': '1.819', 'learning_rate': '1.989e-05', 'epoch': '0.1901'} + 59%|█████████████████▌ | 5285/9000 [3:36:07<4:39:50, 4.52s/it] {'lm_loss': '0.4333', 'visual_loss': '2.806', 'seg_loss': '0.9013', 'dino_loss': '0.9115', 'depth_loss': '0.2359', 'vggt_mse_loss': '0.2343', 'vggt_cos_loss': '0.01637', 'pidinet_loss': '0.2329', 'siglip_loss': '0.524', 'epoch': '0.1901'} + 59%|█████████████████▌ | 5285/9000 [3:36:10<4:39:50, 4.52s/it][Dataset] cur_step=5286 phase=C_full_covt +[Dataset] cur_step=5286 phase=C_full_covt +[Dataset] cur_step=5286 phase=C_full_covt +[Dataset] cur_step=5286 phase=C_full_covt[Dataset] cur_step=5286 phase=C_full_covt + +[Dataset] cur_step=5286 phase=C_full_covt +[Dataset] cur_step=5286 phase=C_full_covt +[Dataset] cur_step=5286 phase=C_full_covt 59%|█████████████████▌ | 5286/9000 [3:36:11<4:27:51, 4.33s/it] + {'loss': '3.323', 'grad_norm': '1.929', 'learning_rate': '1.988e-05', 'epoch': '0.1902'} + 59%|█████████████████▌ | 5286/9000 [3:36:11<4:27:51, 4.33s/it] {'lm_loss': '0.542', 'visual_loss': '2.722', 'seg_loss': '0.7496', 'dino_loss': '0.9119', 'depth_loss': '0.2581', 'vggt_mse_loss': '0.2563', 'vggt_cos_loss': '0.01773', 'pidinet_loss': '0.243', 'siglip_loss': '0.5593', 'epoch': '0.1902'} + 59%|█████████████████▌ | 5286/9000 [3:36:14<4:27:51, 4.33s/it][Dataset] cur_step=5287 phase=C_full_covt +[Dataset] cur_step=5287 phase=C_full_covt[Dataset] cur_step=5287 phase=C_full_covt[Dataset] cur_step=5287 phase=C_full_covt + + +[Dataset] cur_step=5287 phase=C_full_covt +[Dataset] cur_step=5287 phase=C_full_covt +[Dataset] cur_step=5287 phase=C_full_covt +[Dataset] cur_step=5287 phase=C_full_covt + 59%|█████████████████▌ | 5287/9000 [3:36:15<4:19:26, 4.19s/it] {'loss': '2.971', 'grad_norm': '16.97', 'learning_rate': '1.987e-05', 'epoch': '0.1902'} + 59%|█████████████████▌ | 5287/9000 [3:36:15<4:19:26, 4.19s/it] {'lm_loss': '0.3321', 'visual_loss': '2.679', 'seg_loss': '0.7631', 'dino_loss': '0.9225', 'depth_loss': '0.2556', 'vggt_mse_loss': '0.2535', 'vggt_cos_loss': '0.02025', 'pidinet_loss': '0.2402', 'siglip_loss': '0.4981', 'epoch': '0.1902'} + 59%|█████████████████▌ | 5287/9000 [3:36:18<4:19:26, 4.19s/it][Dataset] cur_step=5288 phase=C_full_covt +[Dataset] cur_step=5288 phase=C_full_covt +[Dataset] cur_step=5288 phase=C_full_covt +[Dataset] cur_step=5288 phase=C_full_covt +[Dataset] cur_step=5288 phase=C_full_covt +[Dataset] cur_step=5288 phase=C_full_covt +[Dataset] cur_step=5288 phase=C_full_covt +[Dataset] cur_step=5288 phase=C_full_covt + 59%|█████████████████▋ | 5288/9000 [3:36:19<4:15:28, 4.13s/it] {'loss': '3.039', 'grad_norm': '2.021', 'learning_rate': '1.987e-05', 'epoch': '0.1902'} + 59%|█████████████████▋ | 5288/9000 [3:36:19<4:15:28, 4.13s/it] {'lm_loss': '0.2218', 'visual_loss': '2.709', 'seg_loss': '0.6863', 'dino_loss': '0.9318', 'depth_loss': '0.2961', 'vggt_mse_loss': '0.2942', 'vggt_cos_loss': '0.01911', 'pidinet_loss': '0.2496', 'siglip_loss': '0.5448', 'epoch': '0.1902'} + 59%|█████████████████▋ | 5288/9000 [3:36:22<4:15:28, 4.13s/it][Dataset] cur_step=5289 phase=C_full_covt[Dataset] cur_step=5289 phase=C_full_covt + +[Dataset] cur_step=5289 phase=C_full_covt +[Dataset] cur_step=5289 phase=C_full_covt +[Dataset] cur_step=5289 phase=C_full_covt[Dataset] cur_step=5289 phase=C_full_covt + +[Dataset] cur_step=5289 phase=C_full_covt +[Dataset] cur_step=5289 phase=C_full_covt + 59%|█████████████████▋ | 5289/9000 [3:36:23<4:09:04, 4.03s/it] {'loss': '3.299', 'grad_norm': '2.134', 'learning_rate': '1.986e-05', 'epoch': '0.1903'} + 59%|█████████████████▋ | 5289/9000 [3:36:23<4:09:04, 4.03s/it] {'lm_loss': '0.02209', 'visual_loss': '2.683', 'seg_loss': '0.6959', 'dino_loss': '0.8792', 'depth_loss': '0.23', 'vggt_mse_loss': '0.2283', 'vggt_cos_loss': '0.01607', 'pidinet_loss': '0.2597', 'siglip_loss': '0.6182', 'epoch': '0.1903'} + 59%|█████████████████▋ | 5289/9000 [3:36:25<4:09:04, 4.03s/it][Dataset] cur_step=5290 phase=C_full_covt +[Dataset] cur_step=5290 phase=C_full_covt +[Dataset] cur_step=5290 phase=C_full_covt +[Dataset] cur_step=5290 phase=C_full_covt +[Dataset] cur_step=5290 phase=C_full_covt +[Dataset] cur_step=5290 phase=C_full_covt +[Dataset] cur_step=5290 phase=C_full_covt +[Dataset] cur_step=5290 phase=C_full_covt + 59%|█████████████████▋ | 5290/9000 [3:36:27<4:11:46, 4.07s/it] {'loss': '2.926', 'grad_norm': '3.275', 'learning_rate': '1.985e-05', 'epoch': '0.1903'} + 59%|█████████████████▋ | 5290/9000 [3:36:27<4:11:46, 4.07s/it] {'lm_loss': '0.2092', 'visual_loss': '3.001', 'seg_loss': '0.823', 'dino_loss': '0.9279', 'depth_loss': '0.2958', 'vggt_mse_loss': '0.2937', 'vggt_cos_loss': '0.02096', 'pidinet_loss': '0.2134', 'siglip_loss': '0.741', 'epoch': '0.1903'} + 59%|█████████████████▋ | 5290/9000 [3:36:29<4:11:46, 4.07s/it][Dataset] cur_step=5291 phase=C_full_covt +[Dataset] cur_step=5291 phase=C_full_covt +[Dataset] cur_step=5291 phase=C_full_covt +[Dataset] cur_step=5291 phase=C_full_covt +[Dataset] cur_step=5291 phase=C_full_covt +[Dataset] cur_step=5291 phase=C_full_covt + 59%|█████████████████▋ | 5291/9000 [3:36:31<4:08:27, 4.02s/it][Dataset] cur_step=5291 phase=C_full_covt +[Dataset] cur_step=5291 phase=C_full_covt + {'loss': '3.142', 'grad_norm': '3.596', 'learning_rate': '1.984e-05', 'epoch': '0.1903'} + 59%|█████████████████▋ | 5291/9000 [3:36:31<4:08:27, 4.02s/it] {'lm_loss': '0.3574', 'visual_loss': '2.615', 'seg_loss': '0.7048', 'dino_loss': '0.8859', 'depth_loss': '0.353', 'vggt_mse_loss': '0.3509', 'vggt_cos_loss': '0.0215', 'pidinet_loss': '0.2479', 'siglip_loss': '0.4236', 'epoch': '0.1903'} + 59%|█████████████████▋ | 5291/9000 [3:36:34<4:08:27, 4.02s/it][Dataset] cur_step=5292 phase=C_full_covt[Dataset] cur_step=5292 phase=C_full_covt + +[Dataset] cur_step=5292 phase=C_full_covt[Dataset] cur_step=5292 phase=C_full_covt + +[Dataset] cur_step=5292 phase=C_full_covt +[Dataset] cur_step=5292 phase=C_full_covt + 59%|█████████████████▋ | 5292/9000 [3:36:34<4:05:14, 3.97s/it][Dataset] cur_step=5292 phase=C_full_covt +[Dataset] cur_step=5292 phase=C_full_covt + {'loss': '3.331', 'grad_norm': '2.726', 'learning_rate': '1.983e-05', 'epoch': '0.1904'} + 59%|█████████████████▋ | 5292/9000 [3:36:34<4:05:14, 3.97s/it] {'lm_loss': '0.43', 'visual_loss': '2.665', 'seg_loss': '0.7246', 'dino_loss': '0.909', 'depth_loss': '0.262', 'vggt_mse_loss': '0.2601', 'vggt_cos_loss': '0.01845', 'pidinet_loss': '0.2425', 'siglip_loss': '0.5274', 'epoch': '0.1904'} + 59%|█████████████████▋ | 5292/9000 [3:36:38<4:05:14, 3.97s/it][Dataset] cur_step=5293 phase=C_full_covt +[Dataset] cur_step=5293 phase=C_full_covt +[Dataset] cur_step=5293 phase=C_full_covt +[Dataset] cur_step=5293 phase=C_full_covt +[Dataset] cur_step=5293 phase=C_full_covt +[Dataset] cur_step=5293 phase=C_full_covt +[Dataset] cur_step=5293 phase=C_full_covt[Dataset] cur_step=5293 phase=C_full_covt + + 59%|█████████████████▋ | 5293/9000 [3:36:38<4:00:32, 3.89s/it] {'loss': '3.114', 'grad_norm': '8.587', 'learning_rate': '1.982e-05', 'epoch': '0.1904'} + 59%|█████████████████▋ | 5293/9000 [3:36:38<4:00:32, 3.89s/it] {'lm_loss': '0.009916', 'visual_loss': '2.786', 'seg_loss': '0.8239', 'dino_loss': '0.9154', 'depth_loss': '0.3581', 'vggt_mse_loss': '0.3564', 'vggt_cos_loss': '0.01758', 'pidinet_loss': '0.2441', 'siglip_loss': '0.4448', 'epoch': '0.1904'} + 59%|█████████████████▋ | 5293/9000 [3:36:41<4:00:32, 3.89s/it][Dataset] cur_step=5294 phase=C_full_covt +[Dataset] cur_step=5294 phase=C_full_covt +[Dataset] cur_step=5294 phase=C_full_covt[Dataset] cur_step=5294 phase=C_full_covt + + 59%|█████████████████▋ | 5294/9000 [3:36:42<4:06:35, 3.99s/it][Dataset] cur_step=5294 phase=C_full_covt +[Dataset] cur_step=5294 phase=C_full_covt +[Dataset] cur_step=5294 phase=C_full_covt +[Dataset] cur_step=5294 phase=C_full_covt + {'loss': '3.205', 'grad_norm': '1.901', 'learning_rate': '1.981e-05', 'epoch': '0.1905'} + 59%|█████████████████▋ | 5294/9000 [3:36:42<4:06:35, 3.99s/it] {'lm_loss': '0.4619', 'visual_loss': '2.895', 'seg_loss': '0.6889', 'dino_loss': '0.929', 'depth_loss': '0.2652', 'vggt_mse_loss': '0.2626', 'vggt_cos_loss': '0.02566', 'pidinet_loss': '0.2144', 'siglip_loss': '0.7975', 'epoch': '0.1905'} + 59%|█████████████████▋ | 5294/9000 [3:36:46<4:06:35, 3.99s/it][Dataset] cur_step=5295 phase=C_full_covt +[Dataset] cur_step=5295 phase=C_full_covt +[Dataset] cur_step=5295 phase=C_full_covt +[Dataset] cur_step=5295 phase=C_full_covt +[Dataset] cur_step=5295 phase=C_full_covt +[Dataset] cur_step=5295 phase=C_full_covt + 59%|█████████████████▋ | 5295/9000 [3:36:46<4:07:45, 4.01s/it][Dataset] cur_step=5295 phase=C_full_covt +[Dataset] cur_step=5295 phase=C_full_covt + {'loss': '3.202', 'grad_norm': '2.776', 'learning_rate': '1.98e-05', 'epoch': '0.1905'} + 59%|█████████████████▋ | 5295/9000 [3:36:46<4:07:45, 4.01s/it] {'lm_loss': '0.5438', 'visual_loss': '2.641', 'seg_loss': '0.7432', 'dino_loss': '0.8967', 'depth_loss': '0.3026', 'vggt_mse_loss': '0.3008', 'vggt_cos_loss': '0.01847', 'pidinet_loss': '0.1547', 'siglip_loss': '0.5439', 'epoch': '0.1905'} + 59%|█████████████████▋ | 5295/9000 [3:36:49<4:07:45, 4.01s/it][Dataset] cur_step=5296 phase=C_full_covt +[Dataset] cur_step=5296 phase=C_full_covt +[Dataset] cur_step=5296 phase=C_full_covt +[Dataset] cur_step=5296 phase=C_full_covt +[Dataset] cur_step=5296 phase=C_full_covt +[Dataset] cur_step=5296 phase=C_full_covt +[Dataset] cur_step=5296 phase=C_full_covt + 59%|█████████████████▋ | 5296/9000 [3:36:50<4:04:26, 3.96s/it][Dataset] cur_step=5296 phase=C_full_covt + {'loss': '3.196', 'grad_norm': '2.8', 'learning_rate': '1.979e-05', 'epoch': '0.1905'} + 59%|█████████████████▋ | 5296/9000 [3:36:50<4:04:26, 3.96s/it] {'lm_loss': '1.035', 'visual_loss': '2.691', 'seg_loss': '0.7489', 'dino_loss': '0.9154', 'depth_loss': '0.2209', 'vggt_mse_loss': '0.2196', 'vggt_cos_loss': '0.0137', 'pidinet_loss': '0.2087', 'siglip_loss': '0.5976', 'epoch': '0.1905'} + 59%|█████████████████▋ | 5296/9000 [3:36:53<4:04:26, 3.96s/it][Dataset] cur_step=5297 phase=C_full_covt +[Dataset] cur_step=5297 phase=C_full_covt +[Dataset] cur_step=5297 phase=C_full_covt +[Dataset] cur_step=5297 phase=C_full_covt +[Dataset] cur_step=5297 phase=C_full_covt +[Dataset] cur_step=5297 phase=C_full_covt +[Dataset] cur_step=5297 phase=C_full_covt[Dataset] cur_step=5297 phase=C_full_covt + + 59%|█████████████████▋ | 5297/9000 [3:36:54<4:00:00, 3.89s/it] {'loss': '3.221', 'grad_norm': '6.882', 'learning_rate': '1.978e-05', 'epoch': '0.1906'} + 59%|█████████████████▋ | 5297/9000 [3:36:54<4:00:00, 3.89s/it] {'lm_loss': '0.4534', 'visual_loss': '2.407', 'seg_loss': '0.6075', 'dino_loss': '0.9122', 'depth_loss': '0.1765', 'vggt_mse_loss': '0.1755', 'vggt_cos_loss': '0.01031', 'pidinet_loss': '0.197', 'siglip_loss': '0.5133', 'epoch': '0.1906'} + 59%|█████████████████▋ | 5297/9000 [3:36:57<4:00:00, 3.89s/it][Dataset] cur_step=5298 phase=C_full_covt +[Dataset] cur_step=5298 phase=C_full_covt +[Dataset] cur_step=5298 phase=C_full_covt[Dataset] cur_step=5298 phase=C_full_covt + +[Dataset] cur_step=5298 phase=C_full_covt +[Dataset] cur_step=5298 phase=C_full_covt +[Dataset] cur_step=5298 phase=C_full_covt[Dataset] cur_step=5298 phase=C_full_covt + + 59%|█████████████████▋ | 5298/9000 [3:36:58<4:10:34, 4.06s/it] {'loss': '2.937', 'grad_norm': '2.548', 'learning_rate': '1.978e-05', 'epoch': '0.1906'} + 59%|█████████████████▋ | 5298/9000 [3:36:58<4:10:34, 4.06s/it] {'lm_loss': '0.7947', 'visual_loss': '2.575', 'seg_loss': '0.715', 'dino_loss': '0.9226', 'depth_loss': '0.1829', 'vggt_mse_loss': '0.1816', 'vggt_cos_loss': '0.01367', 'pidinet_loss': '0.2372', 'siglip_loss': '0.5173', 'epoch': '0.1906'} + 59%|█████████████████▋ | 5298/9000 [3:37:02<4:10:34, 4.06s/it][Dataset] cur_step=5299 phase=C_full_covt +[Dataset] cur_step=5299 phase=C_full_covt +[Dataset] cur_step=5299 phase=C_full_covt +[Dataset] cur_step=5299 phase=C_full_covt +[Dataset] cur_step=5299 phase=C_full_covt +[Dataset] cur_step=5299 phase=C_full_covt +[Dataset] cur_step=5299 phase=C_full_covt +[Dataset] cur_step=5299 phase=C_full_covt + 59%|█████████████████▋ | 5299/9000 [3:37:03<4:11:37, 4.08s/it] {'loss': '3.169', 'grad_norm': '1.785', 'learning_rate': '1.977e-05', 'epoch': '0.1906'} + 59%|█████████████████▋ | 5299/9000 [3:37:03<4:11:37, 4.08s/it] {'lm_loss': '0.4005', 'visual_loss': '2.794', 'seg_loss': '0.8172', 'dino_loss': '0.9035', 'depth_loss': '0.3351', 'vggt_mse_loss': '0.3318', 'vggt_cos_loss': '0.03321', 'pidinet_loss': '0.2442', 'siglip_loss': '0.494', 'epoch': '0.1906'} + 59%|█████████████████▋ | 5299/9000 [3:37:05<4:11:37, 4.08s/it][Dataset] cur_step=5300 phase=C_full_covt +[Dataset] cur_step=5300 phase=C_full_covt +[Dataset] cur_step=5300 phase=C_full_covt +[Dataset] cur_step=5300 phase=C_full_covt +[Dataset] cur_step=5300 phase=C_full_covt[Dataset] cur_step=5300 phase=C_full_covt + +[Dataset] cur_step=5300 phase=C_full_covt +[Dataset] cur_step=5300 phase=C_full_covt + 59%|█████████████████▋ | 5300/9000 [3:37:07<4:14:06, 4.12s/it] {'loss': '3.197', 'grad_norm': '1.762', 'learning_rate': '1.976e-05', 'epoch': '0.1907'} + 59%|█████████████████▋ | 5300/9000 [3:37:07<4:14:06, 4.12s/it] {'lm_loss': '0.6498', 'visual_loss': '2.76', 'seg_loss': '0.7548', 'dino_loss': '0.9212', 'depth_loss': '0.2152', 'vggt_mse_loss': '0.2138', 'vggt_cos_loss': '0.01459', 'pidinet_loss': '0.2534', 'siglip_loss': '0.6159', 'epoch': '0.1907'} + 59%|█████████████████▋ | 5300/9000 [3:37:11<4:14:06, 4.12s/it][Dataset] cur_step=5301 phase=C_full_covt +[Dataset] cur_step=5301 phase=C_full_covt + 59%|█████████████████▋ | 5301/9000 [3:37:11<4:13:58, 4.12s/it][Dataset] cur_step=5301 phase=C_full_covt[Dataset] cur_step=5301 phase=C_full_covt +[Dataset] cur_step=5301 phase=C_full_covt + +[Dataset] cur_step=5301 phase=C_full_covt +[Dataset] cur_step=5301 phase=C_full_covt +[Dataset] cur_step=5301 phase=C_full_covt + {'loss': '3.203', 'grad_norm': '2.676', 'learning_rate': '1.975e-05', 'epoch': '0.1907'} + 59%|█████████████████▋ | 5301/9000 [3:37:11<4:13:58, 4.12s/it] {'lm_loss': '0.5577', 'visual_loss': '2.861', 'seg_loss': '0.7474', 'dino_loss': '0.9417', 'depth_loss': '0.2385', 'vggt_mse_loss': '0.2366', 'vggt_cos_loss': '0.01949', 'pidinet_loss': '0.2385', 'siglip_loss': '0.6952', 'epoch': '0.1907'} + 59%|█████████████████▋ | 5301/9000 [3:37:14<4:13:58, 4.12s/it][Dataset] cur_step=5302 phase=C_full_covt +[Dataset] cur_step=5302 phase=C_full_covt + 59%|█████████████████▋ | 5302/9000 [3:37:15<4:10:29, 4.06s/it][Dataset] cur_step=5302 phase=C_full_covt +[Dataset] cur_step=5302 phase=C_full_covt +[Dataset] cur_step=5302 phase=C_full_covt +[Dataset] cur_step=5302 phase=C_full_covt[Dataset] cur_step=5302 phase=C_full_covt + +[Dataset] cur_step=5302 phase=C_full_covt + {'loss': '3.376', 'grad_norm': '12.71', 'learning_rate': '1.974e-05', 'epoch': '0.1907'} + 59%|█████████████████▋ | 5302/9000 [3:37:15<4:10:29, 4.06s/it] {'lm_loss': '0.03037', 'visual_loss': '2.516', 'seg_loss': '0.6435', 'dino_loss': '0.8656', 'depth_loss': '0.2056', 'vggt_mse_loss': '0.2045', 'vggt_cos_loss': '0.01157', 'pidinet_loss': '0.2491', 'siglip_loss': '0.5517', 'epoch': '0.1907'} + 59%|█████████████████▋ | 5302/9000 [3:37:18<4:10:29, 4.06s/it][Dataset] cur_step=5303 phase=C_full_covt +[Dataset] cur_step=5303 phase=C_full_covt +[Dataset] cur_step=5303 phase=C_full_covt +[Dataset] cur_step=5303 phase=C_full_covt +[Dataset] cur_step=5303 phase=C_full_covt +[Dataset] cur_step=5303 phase=C_full_covt +[Dataset] cur_step=5303 phase=C_full_covt + 59%|█████████████████▋ | 5303/9000 [3:37:19<4:08:15, 4.03s/it][Dataset] cur_step=5303 phase=C_full_covt + {'loss': '2.982', 'grad_norm': '3.91', 'learning_rate': '1.973e-05', 'epoch': '0.1908'} + 59%|█████████████████▋ | 5303/9000 [3:37:19<4:08:15, 4.03s/it] {'lm_loss': '0.005042', 'visual_loss': '2.696', 'seg_loss': '0.7539', 'dino_loss': '0.9422', 'depth_loss': '0.2482', 'vggt_mse_loss': '0.2462', 'vggt_cos_loss': '0.02008', 'pidinet_loss': '0.19', 'siglip_loss': '0.5622', 'epoch': '0.1908'} + 59%|█████████████████▋ | 5303/9000 [3:37:22<4:08:15, 4.03s/it][Dataset] cur_step=5304 phase=C_full_covt +[Dataset] cur_step=5304 phase=C_full_covt +[Dataset] cur_step=5304 phase=C_full_covt +[Dataset] cur_step=5304 phase=C_full_covt +[Dataset] cur_step=5304 phase=C_full_covt +[Dataset] cur_step=5304 phase=C_full_covt 59%|█████████████████▋ | 5304/9000 [3:37:23<4:03:33, 3.95s/it] +[Dataset] cur_step=5304 phase=C_full_covt[Dataset] cur_step=5304 phase=C_full_covt + + {'loss': '3.125', 'grad_norm': '3.244', 'learning_rate': '1.972e-05', 'epoch': '0.1908'} + 59%|█████████████████▋ | 5304/9000 [3:37:23<4:03:33, 3.95s/it] {'lm_loss': '0.8561', 'visual_loss': '2.731', 'seg_loss': '0.763', 'dino_loss': '0.9271', 'depth_loss': '0.2613', 'vggt_mse_loss': '0.259', 'vggt_cos_loss': '0.02341', 'pidinet_loss': '0.2584', 'siglip_loss': '0.5211', 'epoch': '0.1908'} + 59%|█████████████████▋ | 5304/9000 [3:37:26<4:03:33, 3.95s/it][Dataset] cur_step=5305 phase=C_full_covt +[Dataset] cur_step=5305 phase=C_full_covt +[Dataset] cur_step=5305 phase=C_full_covt +[Dataset] cur_step=5305 phase=C_full_covt[Dataset] cur_step=5305 phase=C_full_covt + +[Dataset] cur_step=5305 phase=C_full_covt +[Dataset] cur_step=5305 phase=C_full_covt + 59%|█████████████████▋ | 5305/9000 [3:37:26<4:02:22, 3.94s/it][Dataset] cur_step=5305 phase=C_full_covt + {'loss': '3.052', 'grad_norm': '2.745', 'learning_rate': '1.971e-05', 'epoch': '0.1908'} + 59%|█████████████████▋ | 5305/9000 [3:37:26<4:02:22, 3.94s/it] {'lm_loss': '0.2276', 'visual_loss': '2.852', 'seg_loss': '0.7824', 'dino_loss': '0.9233', 'depth_loss': '0.2713', 'vggt_mse_loss': '0.2691', 'vggt_cos_loss': '0.0222', 'pidinet_loss': '0.2276', 'siglip_loss': '0.6472', 'epoch': '0.1908'} + 59%|█████████████████▋ | 5305/9000 [3:37:30<4:02:22, 3.94s/it][Dataset] cur_step=5306 phase=C_full_covt +[Dataset] cur_step=5306 phase=C_full_covt +[Dataset] cur_step=5306 phase=C_full_covt +[Dataset] cur_step=5306 phase=C_full_covt +[Dataset] cur_step=5306 phase=C_full_covt[Dataset] cur_step=5306 phase=C_full_covt + +[Dataset] cur_step=5306 phase=C_full_covt +[Dataset] cur_step=5306 phase=C_full_covt + 59%|█████████████████▋ | 5306/9000 [3:37:31<4:08:24, 4.03s/it] {'loss': '3.105', 'grad_norm': '3.785', 'learning_rate': '1.97e-05', 'epoch': '0.1909'} + 59%|█████████████████▋ | 5306/9000 [3:37:31<4:08:24, 4.03s/it] {'lm_loss': '0.2105', 'visual_loss': '2.651', 'seg_loss': '0.6187', 'dino_loss': '0.9219', 'depth_loss': '0.2594', 'vggt_mse_loss': '0.2573', 'vggt_cos_loss': '0.02145', 'pidinet_loss': '0.2253', 'siglip_loss': '0.6255', 'epoch': '0.1909'} + 59%|█████████████████▋ | 5306/9000 [3:37:34<4:08:24, 4.03s/it][Dataset] cur_step=5307 phase=C_full_covt +[Dataset] cur_step=5307 phase=C_full_covt[Dataset] cur_step=5307 phase=C_full_covt + +[Dataset] cur_step=5307 phase=C_full_covt +[Dataset] cur_step=5307 phase=C_full_covt[Dataset] cur_step=5307 phase=C_full_covt + +[Dataset] cur_step=5307 phase=C_full_covt + 59%|█████████████████▋ | 5307/9000 [3:37:35<4:03:22, 3.95s/it][Dataset] cur_step=5307 phase=C_full_covt + {'loss': '3.151', 'grad_norm': '1.814', 'learning_rate': '1.969e-05', 'epoch': '0.1909'} + 59%|█████████████████▋ | 5307/9000 [3:37:35<4:03:22, 3.95s/it] {'lm_loss': '0.0448', 'visual_loss': '2.543', 'seg_loss': '0.7709', 'dino_loss': '0.8893', 'depth_loss': '0.2925', 'vggt_mse_loss': '0.2907', 'vggt_cos_loss': '0.01757', 'pidinet_loss': '0.1746', 'siglip_loss': '0.4154', 'epoch': '0.1909'} + 59%|█████████████████▋ | 5307/9000 [3:37:38<4:03:22, 3.95s/it][Dataset] cur_step=5308 phase=C_full_covt[Dataset] cur_step=5308 phase=C_full_covt + +[Dataset] cur_step=5308 phase=C_full_covt[Dataset] cur_step=5308 phase=C_full_covt + + 59%|█████████████████▋ | 5308/9000 [3:37:38<4:02:08, 3.94s/it][Dataset] cur_step=5308 phase=C_full_covt +[Dataset] cur_step=5308 phase=C_full_covt +[Dataset] cur_step=5308 phase=C_full_covt +[Dataset] cur_step=5308 phase=C_full_covt + {'loss': '3.054', 'grad_norm': '2.716', 'learning_rate': '1.969e-05', 'epoch': '0.191'} + 59%|█████████████████▋ | 5308/9000 [3:37:38<4:02:08, 3.94s/it] {'lm_loss': '0.03722', 'visual_loss': '2.746', 'seg_loss': '0.6832', 'dino_loss': '0.8789', 'depth_loss': '0.2183', 'vggt_mse_loss': '0.217', 'vggt_cos_loss': '0.01272', 'pidinet_loss': '0.2971', 'siglip_loss': '0.6682', 'epoch': '0.191'} + 59%|█████████████████▋ | 5308/9000 [3:37:41<4:02:08, 3.94s/it][Dataset] cur_step=5309 phase=C_full_covt +[Dataset] cur_step=5309 phase=C_full_covt +[Dataset] cur_step=5309 phase=C_full_covt +[Dataset] cur_step=5309 phase=C_full_covt +[Dataset] cur_step=5309 phase=C_full_covt[Dataset] cur_step=5309 phase=C_full_covt + +[Dataset] cur_step=5309 phase=C_full_covt +[Dataset] cur_step=5309 phase=C_full_covt + 59%|█████████████████▋ | 5309/9000 [3:37:42<4:02:58, 3.95s/it] {'loss': '3.208', 'grad_norm': '24.47', 'learning_rate': '1.968e-05', 'epoch': '0.191'} + 59%|█████████████████▋ | 5309/9000 [3:37:42<4:02:58, 3.95s/it] {'lm_loss': '0.9261', 'visual_loss': '2.842', 'seg_loss': '0.709', 'dino_loss': '0.9342', 'depth_loss': '0.2939', 'vggt_mse_loss': '0.2918', 'vggt_cos_loss': '0.02097', 'pidinet_loss': '0.3048', 'siglip_loss': '0.6003', 'epoch': '0.191'} + 59%|█████████████████▋ | 5309/9000 [3:37:45<4:02:58, 3.95s/it][Dataset] cur_step=5310 phase=C_full_covt +[Dataset] cur_step=5310 phase=C_full_covt +[Dataset] cur_step=5310 phase=C_full_covt +[Dataset] cur_step=5310 phase=C_full_covt +[Dataset] cur_step=5310 phase=C_full_covt +[Dataset] cur_step=5310 phase=C_full_covt[Dataset] cur_step=5310 phase=C_full_covt + + 59%|█████████████████▋ | 5310/9000 [3:37:46<4:01:46, 3.93s/it][Dataset] cur_step=5310 phase=C_full_covt + {'loss': '3.269', 'grad_norm': '2.722', 'learning_rate': '1.967e-05', 'epoch': '0.191'} + 59%|█████████████████▋ | 5310/9000 [3:37:46<4:01:46, 3.93s/it] {'lm_loss': '0.3515', 'visual_loss': '2.728', 'seg_loss': '0.7448', 'dino_loss': '0.9126', 'depth_loss': '0.3208', 'vggt_mse_loss': '0.3184', 'vggt_cos_loss': '0.02402', 'pidinet_loss': '0.2395', 'siglip_loss': '0.5103', 'epoch': '0.191'} + 59%|█████████████████▋ | 5310/9000 [3:37:50<4:01:46, 3.93s/it][Dataset] cur_step=5311 phase=C_full_covt +[Dataset] cur_step=5311 phase=C_full_covt +[Dataset] cur_step=5311 phase=C_full_covt +[Dataset] cur_step=5311 phase=C_full_covt + 59%|█████████████████▋ | 5311/9000 [3:37:50<3:58:47, 3.88s/it][Dataset] cur_step=5311 phase=C_full_covt[Dataset] cur_step=5311 phase=C_full_covt + +[Dataset] cur_step=5311 phase=C_full_covt +[Dataset] cur_step=5311 phase=C_full_covt + {'loss': '3.159', 'grad_norm': '1.801', 'learning_rate': '1.966e-05', 'epoch': '0.1911'} + 59%|█████████████████▋ | 5311/9000 [3:37:50<3:58:47, 3.88s/it] {'lm_loss': '0.008203', 'visual_loss': '2.492', 'seg_loss': '0.7051', 'dino_loss': '0.9047', 'depth_loss': '0.1889', 'vggt_mse_loss': '0.1878', 'vggt_cos_loss': '0.01147', 'pidinet_loss': '0.2283', 'siglip_loss': '0.4651', 'epoch': '0.1911'} + 59%|█████████████████▋ | 5311/9000 [3:37:53<3:58:47, 3.88s/it][Dataset] cur_step=5312 phase=C_full_covt +[Dataset] cur_step=5312 phase=C_full_covt[Dataset] cur_step=5312 phase=C_full_covt[Dataset] cur_step=5312 phase=C_full_covt + + +[Dataset] cur_step=5312 phase=C_full_covt +[Dataset] cur_step=5312 phase=C_full_covt +[Dataset] cur_step=5312 phase=C_full_covt + 59%|█████████████████▋ | 5312/9000 [3:37:54<3:59:09, 3.89s/it][Dataset] cur_step=5312 phase=C_full_covt + {'loss': '3.268', 'grad_norm': '10.02', 'learning_rate': '1.965e-05', 'epoch': '0.1911'} + 59%|█████████████████▋ | 5312/9000 [3:37:54<3:59:09, 3.89s/it] {'lm_loss': '0.4175', 'visual_loss': '2.774', 'seg_loss': '0.7411', 'dino_loss': '0.9271', 'depth_loss': '0.2993', 'vggt_mse_loss': '0.2968', 'vggt_cos_loss': '0.02555', 'pidinet_loss': '0.2378', 'siglip_loss': '0.5685', 'epoch': '0.1911'} + 59%|█████████████████▋ | 5312/9000 [3:37:57<3:59:09, 3.89s/it][Dataset] cur_step=5313 phase=C_full_covt +[Dataset] cur_step=5313 phase=C_full_covt +[Dataset] cur_step=5313 phase=C_full_covt[Dataset] cur_step=5313 phase=C_full_covt +[Dataset] cur_step=5313 phase=C_full_covt + +[Dataset] cur_step=5313 phase=C_full_covt +[Dataset] cur_step=5313 phase=C_full_covt 59%|█████████████████▋ | 5313/9000 [3:37:58<3:59:37, 3.90s/it] +[Dataset] cur_step=5313 phase=C_full_covt + {'loss': '3.073', 'grad_norm': '1.575', 'learning_rate': '1.964e-05', 'epoch': '0.1911'} + 59%|█████████████████▋ | 5313/9000 [3:37:58<3:59:37, 3.90s/it] {'lm_loss': '0.5017', 'visual_loss': '2.868', 'seg_loss': '0.8011', 'dino_loss': '0.9065', 'depth_loss': '0.1895', 'vggt_mse_loss': '0.1882', 'vggt_cos_loss': '0.01355', 'pidinet_loss': '0.3362', 'siglip_loss': '0.6345', 'epoch': '0.1911'} + 59%|█████████████████▋ | 5313/9000 [3:38:01<3:59:37, 3.90s/it][Dataset] cur_step=5314 phase=C_full_covt +[Dataset] cur_step=5314 phase=C_full_covt +[Dataset] cur_step=5314 phase=C_full_covt +[Dataset] cur_step=5314 phase=C_full_covt +[Dataset] cur_step=5314 phase=C_full_covt[Dataset] cur_step=5314 phase=C_full_covt + + 59%|█████████████████▋ | 5314/9000 [3:38:02<4:03:57, 3.97s/it][Dataset] cur_step=5314 phase=C_full_covt +[Dataset] cur_step=5314 phase=C_full_covt + {'loss': '3.327', 'grad_norm': '2.244', 'learning_rate': '1.963e-05', 'epoch': '0.1912'} + 59%|█████████████████▋ | 5314/9000 [3:38:02<4:03:57, 3.97s/it] {'lm_loss': '0.545', 'visual_loss': '2.62', 'seg_loss': '0.7441', 'dino_loss': '0.9228', 'depth_loss': '0.1979', 'vggt_mse_loss': '0.1964', 'vggt_cos_loss': '0.01489', 'pidinet_loss': '0.2409', 'siglip_loss': '0.5147', 'epoch': '0.1912'} + 59%|█████████████████▋ | 5314/9000 [3:38:05<4:03:57, 3.97s/it][Dataset] cur_step=5315 phase=C_full_covt +[Dataset] cur_step=5315 phase=C_full_covt +[Dataset] cur_step=5315 phase=C_full_covt +[Dataset] cur_step=5315 phase=C_full_covt +[Dataset] cur_step=5315 phase=C_full_covt[Dataset] cur_step=5315 phase=C_full_covt + +[Dataset] cur_step=5315 phase=C_full_covt + 59%|█████████████████▋ | 5315/9000 [3:38:06<4:05:44, 4.00s/it][Dataset] cur_step=5315 phase=C_full_covt + {'loss': '3.439', 'grad_norm': '3.684', 'learning_rate': '1.962e-05', 'epoch': '0.1912'} + 59%|█████████████████▋ | 5315/9000 [3:38:06<4:05:44, 4.00s/it] {'lm_loss': '0.01534', 'visual_loss': '2.88', 'seg_loss': '0.8113', 'dino_loss': '0.9069', 'depth_loss': '0.3769', 'vggt_mse_loss': '0.3742', 'vggt_cos_loss': '0.027', 'pidinet_loss': '0.2711', 'siglip_loss': '0.5135', 'epoch': '0.1912'} + 59%|█████████████████▋ | 5315/9000 [3:38:09<4:05:44, 4.00s/it][Dataset] cur_step=5316 phase=C_full_covt +[Dataset] cur_step=5316 phase=C_full_covt +[Dataset] cur_step=5316 phase=C_full_covt[Dataset] cur_step=5316 phase=C_full_covt + +[Dataset] cur_step=5316 phase=C_full_covt +[Dataset] cur_step=5316 phase=C_full_covt +[Dataset] cur_step=5316 phase=C_full_covt +[Dataset] cur_step=5316 phase=C_full_covt + 59%|█████████████████▋ | 5316/9000 [3:38:10<4:02:28, 3.95s/it] {'loss': '3.04', 'grad_norm': '1.415', 'learning_rate': '1.961e-05', 'epoch': '0.1912'} + 59%|█████████████████▋ | 5316/9000 [3:38:10<4:02:28, 3.95s/it] {'lm_loss': '0.1795', 'visual_loss': '2.601', 'seg_loss': '0.7334', 'dino_loss': '0.9278', 'depth_loss': '0.2387', 'vggt_mse_loss': '0.2369', 'vggt_cos_loss': '0.01798', 'pidinet_loss': '0.2369', 'siglip_loss': '0.4641', 'epoch': '0.1912'} + 59%|█████████████████▋ | 5316/9000 [3:38:13<4:02:28, 3.95s/it][Dataset] cur_step=5317 phase=C_full_covt +[Dataset] cur_step=5317 phase=C_full_covt +[Dataset] cur_step=5317 phase=C_full_covt[Dataset] cur_step=5317 phase=C_full_covt[Dataset] cur_step=5317 phase=C_full_covt + + +[Dataset] cur_step=5317 phase=C_full_covt +[Dataset] cur_step=5317 phase=C_full_covt + 59%|█████████████████▋ | 5317/9000 [3:38:15<4:29:58, 4.40s/it][Dataset] cur_step=5317 phase=C_full_covt + {'loss': '3.087', 'grad_norm': '1.896', 'learning_rate': '1.96e-05', 'epoch': '0.1913'} + 59%|█████████████████▋ | 5317/9000 [3:38:15<4:29:58, 4.40s/it] {'lm_loss': '0.4146', 'visual_loss': '2.555', 'seg_loss': '0.6807', 'dino_loss': '0.9032', 'depth_loss': '0.3338', 'vggt_mse_loss': '0.3311', 'vggt_cos_loss': '0.02718', 'pidinet_loss': '0.1893', 'siglip_loss': '0.4478', 'epoch': '0.1913'} + 59%|█████████████████▋ | 5317/9000 [3:38:19<4:29:58, 4.40s/it][Dataset] cur_step=5318 phase=C_full_covt +[Dataset] cur_step=5318 phase=C_full_covt[Dataset] cur_step=5318 phase=C_full_covt + +[Dataset] cur_step=5318 phase=C_full_covt +[Dataset] cur_step=5318 phase=C_full_covt +[Dataset] cur_step=5318 phase=C_full_covt + 59%|█████████████████▋ | 5318/9000 [3:38:22<5:15:24, 5.14s/it][Dataset] cur_step=5318 phase=C_full_covt +[Dataset] cur_step=5318 phase=C_full_covt + {'loss': '3.055', 'grad_norm': '1.941', 'learning_rate': '1.96e-05', 'epoch': '0.1913'} + 59%|█████████████████▋ | 5318/9000 [3:38:22<5:15:24, 5.14s/it] {'lm_loss': '0.3195', 'visual_loss': '2.541', 'seg_loss': '0.7374', 'dino_loss': '0.8832', 'depth_loss': '0.1857', 'vggt_mse_loss': '0.1847', 'vggt_cos_loss': '0.0105', 'pidinet_loss': '0.2882', 'siglip_loss': '0.446', 'epoch': '0.1913'} + 59%|█████████████████▋ | 5318/9000 [3:38:26<5:15:24, 5.14s/it][Dataset] cur_step=5319 phase=C_full_covt[Dataset] cur_step=5319 phase=C_full_covt + +[Dataset] cur_step=5319 phase=C_full_covt + 59%|█████████████████▋ | 5319/9000 [3:38:26<4:53:38, 4.79s/it][Dataset] cur_step=5319 phase=C_full_covt[Dataset] cur_step=5319 phase=C_full_covt + +[Dataset] cur_step=5319 phase=C_full_covt +[Dataset] cur_step=5319 phase=C_full_covt +[Dataset] cur_step=5319 phase=C_full_covt + {'loss': '2.794', 'grad_norm': '2.583', 'learning_rate': '1.959e-05', 'epoch': '0.1914'} + 59%|█████████████████▋ | 5319/9000 [3:38:26<4:53:38, 4.79s/it] {'lm_loss': '0.6123', 'visual_loss': '2.489', 'seg_loss': '0.6848', 'dino_loss': '0.9149', 'depth_loss': '0.2418', 'vggt_mse_loss': '0.2404', 'vggt_cos_loss': '0.01432', 'pidinet_loss': '0.1479', 'siglip_loss': '0.4995', 'epoch': '0.1914'} + 59%|█████████████████▋ | 5319/9000 [3:38:29<4:53:38, 4.79s/it][Dataset] cur_step=5320 phase=C_full_covt +[Dataset] cur_step=5320 phase=C_full_covt +[Dataset] cur_step=5320 phase=C_full_covt +[Dataset] cur_step=5320 phase=C_full_covt +[Dataset] cur_step=5320 phase=C_full_covt +[Dataset] cur_step=5320 phase=C_full_covt[Dataset] cur_step=5320 phase=C_full_covt + +[Dataset] cur_step=5320 phase=C_full_covt + 59%|█████████████████▋ | 5320/9000 [3:38:30<4:36:14, 4.50s/it] {'loss': '3.346', 'grad_norm': '2.266', 'learning_rate': '1.958e-05', 'epoch': '0.1914'} + 59%|█████████████████▋ | 5320/9000 [3:38:30<4:36:14, 4.50s/it] {'lm_loss': '0.4167', 'visual_loss': '2.37', 'seg_loss': '0.6315', 'dino_loss': '0.9012', 'depth_loss': '0.202', 'vggt_mse_loss': '0.2009', 'vggt_cos_loss': '0.01115', 'pidinet_loss': '0.1949', 'siglip_loss': '0.4407', 'epoch': '0.1914'} + 59%|█████████████████▋ | 5320/9000 [3:38:36<4:36:14, 4.50s/it][Dataset] cur_step=5321 phase=C_full_covt[Dataset] cur_step=5321 phase=C_full_covt + + 59%|█████████████████▋ | 5321/9000 [3:38:37<5:17:00, 5.17s/it][Dataset] cur_step=5321 phase=C_full_covt +[Dataset] cur_step=5321 phase=C_full_covt +[Dataset] cur_step=5321 phase=C_full_covt +[Dataset] cur_step=5321 phase=C_full_covt +[Dataset] cur_step=5321 phase=C_full_covt[Dataset] cur_step=5321 phase=C_full_covt + + {'loss': '3.037', 'grad_norm': '1.991', 'learning_rate': '1.957e-05', 'epoch': '0.1914'} + 59%|█████████████████▋ | 5321/9000 [3:38:37<5:17:00, 5.17s/it] {'lm_loss': '0.252', 'visual_loss': '2.572', 'seg_loss': '0.7211', 'dino_loss': '0.883', 'depth_loss': '0.1903', 'vggt_mse_loss': '0.1892', 'vggt_cos_loss': '0.01071', 'pidinet_loss': '0.2452', 'siglip_loss': '0.5327', 'epoch': '0.1914'} + 59%|█████████████████▋ | 5321/9000 [3:38:40<5:17:00, 5.17s/it][Dataset] cur_step=5322 phase=C_full_covt +[Dataset] cur_step=5322 phase=C_full_covt +[Dataset] cur_step=5322 phase=C_full_covt +[Dataset] cur_step=5322 phase=C_full_covt +[Dataset] cur_step=5322 phase=C_full_covt +[Dataset] cur_step=5322 phase=C_full_covt +[Dataset] cur_step=5322 phase=C_full_covt +[Dataset] cur_step=5322 phase=C_full_covt 59%|█████████████████▋ | 5322/9000 [3:38:41<4:57:12, 4.85s/it] + {'loss': '3.216', 'grad_norm': '2.024', 'learning_rate': '1.956e-05', 'epoch': '0.1915'} + 59%|█████████████████▋ | 5322/9000 [3:38:41<4:57:12, 4.85s/it] {'lm_loss': '0.003057', 'visual_loss': '2.748', 'seg_loss': '0.798', 'dino_loss': '0.9291', 'depth_loss': '0.2518', 'vggt_mse_loss': '0.2503', 'vggt_cos_loss': '0.01483', 'pidinet_loss': '0.2226', 'siglip_loss': '0.5465', 'epoch': '0.1915'} + 59%|█████████████████▋ | 5322/9000 [3:38:44<4:57:12, 4.85s/it][Dataset] cur_step=5323 phase=C_full_covt +[Dataset] cur_step=5323 phase=C_full_covt +[Dataset] cur_step=5323 phase=C_full_covt +[Dataset] cur_step=5323 phase=C_full_covt +[Dataset] cur_step=5323 phase=C_full_covt +[Dataset] cur_step=5323 phase=C_full_covt + 59%|█████████████████▋ | 5323/9000 [3:38:45<4:40:38, 4.58s/it][Dataset] cur_step=5323 phase=C_full_covt +[Dataset] cur_step=5323 phase=C_full_covt + {'loss': '2.937', 'grad_norm': '1.79', 'learning_rate': '1.955e-05', 'epoch': '0.1915'} + 59%|█████████████████▋ | 5323/9000 [3:38:45<4:40:38, 4.58s/it] {'lm_loss': '0.01152', 'visual_loss': '2.526', 'seg_loss': '0.6952', 'dino_loss': '0.9222', 'depth_loss': '0.2329', 'vggt_mse_loss': '0.2316', 'vggt_cos_loss': '0.01362', 'pidinet_loss': '0.19', 'siglip_loss': '0.4858', 'epoch': '0.1915'} + 59%|█████████████████▋ | 5323/9000 [3:38:48<4:40:38, 4.58s/it][Dataset] cur_step=5324 phase=C_full_covt +[Dataset] cur_step=5324 phase=C_full_covt +[Dataset] cur_step=5324 phase=C_full_covt + 59%|█████████████████▋ | 5324/9000 [3:38:49<4:26:58, 4.36s/it][Dataset] cur_step=5324 phase=C_full_covt +[Dataset] cur_step=5324 phase=C_full_covt[Dataset] cur_step=5324 phase=C_full_covt + +[Dataset] cur_step=5324 phase=C_full_covt +[Dataset] cur_step=5324 phase=C_full_covt + {'loss': '3.002', 'grad_norm': '2.219', 'learning_rate': '1.954e-05', 'epoch': '0.1915'} + 59%|█████████████████▋ | 5324/9000 [3:38:49<4:26:58, 4.36s/it] {'lm_loss': '0.5485', 'visual_loss': '2.554', 'seg_loss': '0.7328', 'dino_loss': '0.8956', 'depth_loss': '0.2195', 'vggt_mse_loss': '0.218', 'vggt_cos_loss': '0.01555', 'pidinet_loss': '0.1907', 'siglip_loss': '0.5155', 'epoch': '0.1915'} + 59%|█████████████████▋ | 5324/9000 [3:38:52<4:26:58, 4.36s/it][Dataset] cur_step=5325 phase=C_full_covt +[Dataset] cur_step=5325 phase=C_full_covt +[Dataset] cur_step=5325 phase=C_full_covt +[Dataset] cur_step=5325 phase=C_full_covt 59%|█████████████████▊ | 5325/9000 [3:38:52<4:16:36, 4.19s/it] +[Dataset] cur_step=5325 phase=C_full_covt +[Dataset] cur_step=5325 phase=C_full_covt +[Dataset] cur_step=5325 phase=C_full_covt +[Dataset] cur_step=5325 phase=C_full_covt + {'loss': '3.263', 'grad_norm': '1.688', 'learning_rate': '1.953e-05', 'epoch': '0.1916'} + 59%|█████████████████▊ | 5325/9000 [3:38:52<4:16:36, 4.19s/it] {'lm_loss': '0.8067', 'visual_loss': '2.591', 'seg_loss': '0.7115', 'dino_loss': '0.904', 'depth_loss': '0.2189', 'vggt_mse_loss': '0.2171', 'vggt_cos_loss': '0.01761', 'pidinet_loss': '0.2507', 'siglip_loss': '0.5062', 'epoch': '0.1916'} + 59%|█████████████████▊ | 5325/9000 [3:38:55<4:16:36, 4.19s/it][Dataset] cur_step=5326 phase=C_full_covt[Dataset] cur_step=5326 phase=C_full_covt + +[Dataset] cur_step=5326 phase=C_full_covt[Dataset] cur_step=5326 phase=C_full_covt +[Dataset] cur_step=5326 phase=C_full_covt +[Dataset] cur_step=5326 phase=C_full_covt + + 59%|█████████████████▊ | 5326/9000 [3:38:56<4:13:33, 4.14s/it][Dataset] cur_step=5326 phase=C_full_covt +[Dataset] cur_step=5326 phase=C_full_covt + {'loss': '3.085', 'grad_norm': '2.246', 'learning_rate': '1.952e-05', 'epoch': '0.1916'} + 59%|█████████████████▊ | 5326/9000 [3:38:56<4:13:33, 4.14s/it] {'lm_loss': '0.5404', 'visual_loss': '2.726', 'seg_loss': '0.855', 'dino_loss': '0.9441', 'depth_loss': '0.2278', 'vggt_mse_loss': '0.2264', 'vggt_cos_loss': '0.01384', 'pidinet_loss': '0.2208', 'siglip_loss': '0.4786', 'epoch': '0.1916'} + 59%|█████████████████▊ | 5326/9000 [3:38:59<4:13:33, 4.14s/it][Dataset] cur_step=5327 phase=C_full_covt +[Dataset] cur_step=5327 phase=C_full_covt +[Dataset] cur_step=5327 phase=C_full_covt +[Dataset] cur_step=5327 phase=C_full_covt[Dataset] cur_step=5327 phase=C_full_covt + +[Dataset] cur_step=5327 phase=C_full_covt + 59%|█████████████████▊ | 5327/9000 [3:39:00<4:10:16, 4.09s/it][Dataset] cur_step=5327 phase=C_full_covt +[Dataset] cur_step=5327 phase=C_full_covt + {'loss': '3.197', 'grad_norm': '1.755', 'learning_rate': '1.952e-05', 'epoch': '0.1916'} + 59%|█████████████████▊ | 5327/9000 [3:39:00<4:10:16, 4.09s/it] {'lm_loss': '0.3148', 'visual_loss': '2.594', 'seg_loss': '0.7304', 'dino_loss': '0.918', 'depth_loss': '0.2376', 'vggt_mse_loss': '0.2359', 'vggt_cos_loss': '0.01661', 'pidinet_loss': '0.2468', 'siglip_loss': '0.4618', 'epoch': '0.1916'} + 59%|█████████████████▊ | 5327/9000 [3:39:04<4:10:16, 4.09s/it][Dataset] cur_step=5328 phase=C_full_covt +[Dataset] cur_step=5328 phase=C_full_covt +[Dataset] cur_step=5328 phase=C_full_covt +[Dataset] cur_step=5328 phase=C_full_covt +[Dataset] cur_step=5328 phase=C_full_covt +[Dataset] cur_step=5328 phase=C_full_covt + 59%|█████████████████▊ | 5328/9000 [3:39:07<4:57:38, 4.86s/it][Dataset] cur_step=5328 phase=C_full_covt +[Dataset] cur_step=5328 phase=C_full_covt + {'loss': '3.024', 'grad_norm': '2.373', 'learning_rate': '1.951e-05', 'epoch': '0.1917'} + 59%|█████████████████▊ | 5328/9000 [3:39:07<4:57:38, 4.86s/it] {'lm_loss': '0.6179', 'visual_loss': '2.407', 'seg_loss': '0.6319', 'dino_loss': '0.9055', 'depth_loss': '0.2585', 'vggt_mse_loss': '0.2567', 'vggt_cos_loss': '0.01783', 'pidinet_loss': '0.2299', 'siglip_loss': '0.3813', 'epoch': '0.1917'} + 59%|█████████████████▊ | 5328/9000 [3:39:11<4:57:38, 4.86s/it][Dataset] cur_step=5329 phase=C_full_covt +[Dataset] cur_step=5329 phase=C_full_covt[Dataset] cur_step=5329 phase=C_full_covt + +[Dataset] cur_step=5329 phase=C_full_covt +[Dataset] cur_step=5329 phase=C_full_covt + 59%|█████████████████▊ | 5329/9000 [3:39:11<4:39:00, 4.56s/it][Dataset] cur_step=5329 phase=C_full_covt +[Dataset] cur_step=5329 phase=C_full_covt +[Dataset] cur_step=5329 phase=C_full_covt + {'loss': '3.009', 'grad_norm': '5.075', 'learning_rate': '1.95e-05', 'epoch': '0.1917'} + 59%|█████████████████▊ | 5329/9000 [3:39:11<4:39:00, 4.56s/it] {'lm_loss': '0.4522', 'visual_loss': '2.748', 'seg_loss': '0.7798', 'dino_loss': '0.9201', 'depth_loss': '0.2415', 'vggt_mse_loss': '0.2396', 'vggt_cos_loss': '0.01922', 'pidinet_loss': '0.2528', 'siglip_loss': '0.5536', 'epoch': '0.1917'} + 59%|█████████████████▊ | 5329/9000 [3:39:15<4:39:00, 4.56s/it][Dataset] cur_step=5330 phase=C_full_covt +[Dataset] cur_step=5330 phase=C_full_covt +[Dataset] cur_step=5330 phase=C_full_covt +[Dataset] cur_step=5330 phase=C_full_covt + 59%|█████████████████▊ | 5330/9000 [3:39:17<5:10:12, 5.07s/it][Dataset] cur_step=5330 phase=C_full_covt +[Dataset] cur_step=5330 phase=C_full_covt +[Dataset] cur_step=5330 phase=C_full_covt +[Dataset] cur_step=5330 phase=C_full_covt + {'loss': '3.018', 'grad_norm': '2.353', 'learning_rate': '1.949e-05', 'epoch': '0.1917'} + 59%|█████████████████▊ | 5330/9000 [3:39:17<5:10:12, 5.07s/it] {'lm_loss': '0.8522', 'visual_loss': '3.261', 'seg_loss': '0.7875', 'dino_loss': '0.8944', 'depth_loss': '0.2447', 'vggt_mse_loss': '0.2434', 'vggt_cos_loss': '0.01365', 'pidinet_loss': '0.3349', 'siglip_loss': '0.9996', 'epoch': '0.1917'} + 59%|█████████████████▊ | 5330/9000 [3:39:20<5:10:12, 5.07s/it][Dataset] cur_step=5331 phase=C_full_covt[Dataset] cur_step=5331 phase=C_full_covt + +[Dataset] cur_step=5331 phase=C_full_covt +[Dataset] cur_step=5331 phase=C_full_covt + 59%|█████████████████▊ | 5331/9000 [3:39:21<4:46:39, 4.69s/it][Dataset] cur_step=5331 phase=C_full_covt +[Dataset] cur_step=5331 phase=C_full_covt +[Dataset] cur_step=5331 phase=C_full_covt +[Dataset] cur_step=5331 phase=C_full_covt + {'loss': '3.132', 'grad_norm': '3.835', 'learning_rate': '1.948e-05', 'epoch': '0.1918'} + 59%|█████████████████▊ | 5331/9000 [3:39:21<4:46:39, 4.69s/it] {'lm_loss': '0.002439', 'visual_loss': '2.761', 'seg_loss': '0.69', 'dino_loss': '0.907', 'depth_loss': '0.2499', 'vggt_mse_loss': '0.2482', 'vggt_cos_loss': '0.01704', 'pidinet_loss': '0.2439', 'siglip_loss': '0.6704', 'epoch': '0.1918'} + 59%|█████████████████▊ | 5331/9000 [3:39:24<4:46:39, 4.69s/it][Dataset] cur_step=5332 phase=C_full_covt + 59%|█████████████████▊ | 5332/9000 [3:39:27<5:05:30, 5.00s/it][Dataset] cur_step=5332 phase=C_full_covt +[Dataset] cur_step=5332 phase=C_full_covt[Dataset] cur_step=5332 phase=C_full_covt + +[Dataset] cur_step=5332 phase=C_full_covt +[Dataset] cur_step=5332 phase=C_full_covt +[Dataset] cur_step=5332 phase=C_full_covt +[Dataset] cur_step=5332 phase=C_full_covt + {'loss': '2.963', 'grad_norm': '2.324', 'learning_rate': '1.947e-05', 'epoch': '0.1918'} + 59%|█████████████████▊ | 5332/9000 [3:39:27<5:05:30, 5.00s/it] {'lm_loss': '0.6237', 'visual_loss': '2.943', 'seg_loss': '0.8389', 'dino_loss': '0.9176', 'depth_loss': '0.2314', 'vggt_mse_loss': '0.2296', 'vggt_cos_loss': '0.0184', 'pidinet_loss': '0.2489', 'siglip_loss': '0.7064', 'epoch': '0.1918'} + 59%|█████████████████▊ | 5332/9000 [3:39:30<5:05:30, 5.00s/it][Dataset] cur_step=5333 phase=C_full_covt[Dataset] cur_step=5333 phase=C_full_covt[Dataset] cur_step=5333 phase=C_full_covt + +[Dataset] cur_step=5333 phase=C_full_covt + +[Dataset] cur_step=5333 phase=C_full_covt + 59%|█████████████████▊ | 5333/9000 [3:39:31<4:46:03, 4.68s/it][Dataset] cur_step=5333 phase=C_full_covt +[Dataset] cur_step=5333 phase=C_full_covt +[Dataset] cur_step=5333 phase=C_full_covt + {'loss': '3.143', 'grad_norm': '1.805', 'learning_rate': '1.946e-05', 'epoch': '0.1919'} + 59%|█████████████████▊ | 5333/9000 [3:39:31<4:46:03, 4.68s/it] {'lm_loss': '0.0007456', 'visual_loss': '2.686', 'seg_loss': '0.7087', 'dino_loss': '0.9218', 'depth_loss': '0.3175', 'vggt_mse_loss': '0.3152', 'vggt_cos_loss': '0.02293', 'pidinet_loss': '0.2181', 'siglip_loss': '0.5202', 'epoch': '0.1919'} + 59%|█████████████████▊ | 5333/9000 [3:39:34<4:46:03, 4.68s/it][Dataset] cur_step=5334 phase=C_full_covt +[Dataset] cur_step=5334 phase=C_full_covt + 59%|█████████████████▊ | 5334/9000 [3:39:35<4:37:49, 4.55s/it][Dataset] cur_step=5334 phase=C_full_covt +[Dataset] cur_step=5334 phase=C_full_covt +[Dataset] cur_step=5334 phase=C_full_covt[Dataset] cur_step=5334 phase=C_full_covt + +[Dataset] cur_step=5334 phase=C_full_covt +[Dataset] cur_step=5334 phase=C_full_covt + {'loss': '3.024', 'grad_norm': '4.198', 'learning_rate': '1.945e-05', 'epoch': '0.1919'} + 59%|█████████████████▊ | 5334/9000 [3:39:35<4:37:49, 4.55s/it] {'lm_loss': '0.2862', 'visual_loss': '2.567', 'seg_loss': '0.6808', 'dino_loss': '0.9299', 'depth_loss': '0.2209', 'vggt_mse_loss': '0.2193', 'vggt_cos_loss': '0.01575', 'pidinet_loss': '0.2093', 'siglip_loss': '0.5262', 'epoch': '0.1919'} + 59%|█████████████████▊ | 5334/9000 [3:39:38<4:37:49, 4.55s/it][Dataset] cur_step=5335 phase=C_full_covt +[Dataset] cur_step=5335 phase=C_full_covt +[Dataset] cur_step=5335 phase=C_full_covt[Dataset] cur_step=5335 phase=C_full_covt + + 59%|█████████████████▊ | 5335/9000 [3:39:39<4:30:57, 4.44s/it][Dataset] cur_step=5335 phase=C_full_covt +[Dataset] cur_step=5335 phase=C_full_covt +[Dataset] cur_step=5335 phase=C_full_covt[Dataset] cur_step=5335 phase=C_full_covt + + {'loss': '3.13', 'grad_norm': '8.011', 'learning_rate': '1.944e-05', 'epoch': '0.1919'} + 59%|█████████████████▊ | 5335/9000 [3:39:39<4:30:57, 4.44s/it] {'lm_loss': '0.4014', 'visual_loss': '2.629', 'seg_loss': '0.6802', 'dino_loss': '0.9243', 'depth_loss': '0.2607', 'vggt_mse_loss': '0.2591', 'vggt_cos_loss': '0.01565', 'pidinet_loss': '0.2095', 'siglip_loss': '0.5541', 'epoch': '0.1919'} + 59%|█████████████████▊ | 5335/9000 [3:39:43<4:30:57, 4.44s/it][Dataset] cur_step=5336 phase=C_full_covt +[Dataset] cur_step=5336 phase=C_full_covt +[Dataset] cur_step=5336 phase=C_full_covt +[Dataset] cur_step=5336 phase=C_full_covt +[Dataset] cur_step=5336 phase=C_full_covt + 59%|█████████████████▊ | 5336/9000 [3:39:43<4:26:40, 4.37s/it][Dataset] cur_step=5336 phase=C_full_covt +[Dataset] cur_step=5336 phase=C_full_covt +[Dataset] cur_step=5336 phase=C_full_covt + {'loss': '3.103', 'grad_norm': '2.227', 'learning_rate': '1.943e-05', 'epoch': '0.192'} + 59%|█████████████████▊ | 5336/9000 [3:39:43<4:26:40, 4.37s/it] {'lm_loss': '0.4188', 'visual_loss': '2.504', 'seg_loss': '0.6267', 'dino_loss': '0.9047', 'depth_loss': '0.2942', 'vggt_mse_loss': '0.2925', 'vggt_cos_loss': '0.0167', 'pidinet_loss': '0.2298', 'siglip_loss': '0.4492', 'epoch': '0.192'} + 59%|█████████████████▊ | 5336/9000 [3:39:47<4:26:40, 4.37s/it][Dataset] cur_step=5337 phase=C_full_covt +[Dataset] cur_step=5337 phase=C_full_covt + 59%|█████████████████▊ | 5337/9000 [3:39:48<4:24:03, 4.33s/it][Dataset] cur_step=5337 phase=C_full_covt[Dataset] cur_step=5337 phase=C_full_covt + +[Dataset] cur_step=5337 phase=C_full_covt +[Dataset] cur_step=5337 phase=C_full_covt +[Dataset] cur_step=5337 phase=C_full_covt +[Dataset] cur_step=5337 phase=C_full_covt + {'loss': '3.101', 'grad_norm': '3.121', 'learning_rate': '1.943e-05', 'epoch': '0.192'} + 59%|█████████████████▊ | 5337/9000 [3:39:48<4:24:03, 4.33s/it] {'lm_loss': '0.329', 'visual_loss': '2.664', 'seg_loss': '0.7578', 'dino_loss': '0.9054', 'depth_loss': '0.2738', 'vggt_mse_loss': '0.2723', 'vggt_cos_loss': '0.01512', 'pidinet_loss': '0.1809', 'siglip_loss': '0.5457', 'epoch': '0.192'} + 59%|█████████████████▊ | 5337/9000 [3:39:51<4:24:03, 4.33s/it][Dataset] cur_step=5338 phase=C_full_covt +[Dataset] cur_step=5338 phase=C_full_covt +[Dataset] cur_step=5338 phase=C_full_covt +[Dataset] cur_step=5338 phase=C_full_covt 59%|█████████████████▊ | 5338/9000 [3:39:52<4:21:05, 4.28s/it] +[Dataset] cur_step=5338 phase=C_full_covt +[Dataset] cur_step=5338 phase=C_full_covt +[Dataset] cur_step=5338 phase=C_full_covt +[Dataset] cur_step=5338 phase=C_full_covt + {'loss': '3.159', 'grad_norm': '1.871', 'learning_rate': '1.942e-05', 'epoch': '0.192'} + 59%|█████████████████▊ | 5338/9000 [3:39:52<4:21:05, 4.28s/it] {'lm_loss': '0.3129', 'visual_loss': '2.531', 'seg_loss': '0.7858', 'dino_loss': '0.9108', 'depth_loss': '0.1985', 'vggt_mse_loss': '0.1972', 'vggt_cos_loss': '0.01388', 'pidinet_loss': '0.2569', 'siglip_loss': '0.3786', 'epoch': '0.192'} + 59%|█████████████████▊ | 5338/9000 [3:39:55<4:21:05, 4.28s/it][Dataset] cur_step=5339 phase=C_full_covt +[Dataset] cur_step=5339 phase=C_full_covt +[Dataset] cur_step=5339 phase=C_full_covt +[Dataset] cur_step=5339 phase=C_full_covt 59%|█████████████████▊ | 5339/9000 [3:39:56<4:13:49, 4.16s/it] +[Dataset] cur_step=5339 phase=C_full_covt[Dataset] cur_step=5339 phase=C_full_covt + +[Dataset] cur_step=5339 phase=C_full_covt +[Dataset] cur_step=5339 phase=C_full_covt + {'loss': '3.155', 'grad_norm': '2.196', 'learning_rate': '1.941e-05', 'epoch': '0.1921'} + 59%|█████████████████▊ | 5339/9000 [3:39:56<4:13:49, 4.16s/it] {'lm_loss': '0.632', 'visual_loss': '2.526', 'seg_loss': '0.6494', 'dino_loss': '0.8849', 'depth_loss': '0.2263', 'vggt_mse_loss': '0.2249', 'vggt_cos_loss': '0.01383', 'pidinet_loss': '0.1731', 'siglip_loss': '0.592', 'epoch': '0.1921'} + 59%|█████████████████▊ | 5339/9000 [3:39:59<4:13:49, 4.16s/it][Dataset] cur_step=5340 phase=C_full_covt + 59%|█████████████████▊ | 5340/9000 [3:40:00<4:15:04, 4.18s/it][Dataset] cur_step=5340 phase=C_full_covt +[Dataset] cur_step=5340 phase=C_full_covt[Dataset] cur_step=5340 phase=C_full_covt + +[Dataset] cur_step=5340 phase=C_full_covt +[Dataset] cur_step=5340 phase=C_full_covt +[Dataset] cur_step=5340 phase=C_full_covt +[Dataset] cur_step=5340 phase=C_full_covt + {'loss': '3.056', 'grad_norm': '3.878', 'learning_rate': '1.94e-05', 'epoch': '0.1921'} + 59%|█████████████████▊ | 5340/9000 [3:40:00<4:15:04, 4.18s/it] {'lm_loss': '0.1102', 'visual_loss': '2.482', 'seg_loss': '0.7207', 'dino_loss': '0.8778', 'depth_loss': '0.2176', 'vggt_mse_loss': '0.2163', 'vggt_cos_loss': '0.0131', 'pidinet_loss': '0.1937', 'siglip_loss': '0.472', 'epoch': '0.1921'} + 59%|█████████████████▊ | 5340/9000 [3:40:03<4:15:04, 4.18s/it][Dataset] cur_step=5341 phase=C_full_covt +[Dataset] cur_step=5341 phase=C_full_covt +[Dataset] cur_step=5341 phase=C_full_covt +[Dataset] cur_step=5341 phase=C_full_covt +[Dataset] cur_step=5341 phase=C_full_covt +[Dataset] cur_step=5341 phase=C_full_covt +[Dataset] cur_step=5341 phase=C_full_covt 59%|█████████████████▊ | 5341/9000 [3:40:04<4:09:23, 4.09s/it] +[Dataset] cur_step=5341 phase=C_full_covt + {'loss': '3.115', 'grad_norm': '2.615', 'learning_rate': '1.939e-05', 'epoch': '0.1921'} + 59%|█████████████████▊ | 5341/9000 [3:40:04<4:09:23, 4.09s/it] {'lm_loss': '0.7199', 'visual_loss': '2.799', 'seg_loss': '0.7101', 'dino_loss': '0.9195', 'depth_loss': '0.278', 'vggt_mse_loss': '0.2761', 'vggt_cos_loss': '0.01935', 'pidinet_loss': '0.2368', 'siglip_loss': '0.6541', 'epoch': '0.1921'} + 59%|█████████████████▊ | 5341/9000 [3:40:07<4:09:23, 4.09s/it][Dataset] cur_step=5342 phase=C_full_covt +[Dataset] cur_step=5342 phase=C_full_covt + 59%|█████████████████▊ | 5342/9000 [3:40:08<4:05:03, 4.02s/it][Dataset] cur_step=5342 phase=C_full_covt +[Dataset] cur_step=5342 phase=C_full_covt +[Dataset] cur_step=5342 phase=C_full_covt[Dataset] cur_step=5342 phase=C_full_covt[Dataset] cur_step=5342 phase=C_full_covt + + +[Dataset] cur_step=5342 phase=C_full_covt + {'loss': '3.241', 'grad_norm': '2.864', 'learning_rate': '1.938e-05', 'epoch': '0.1922'} + 59%|█████████████████▊ | 5342/9000 [3:40:08<4:05:03, 4.02s/it] {'lm_loss': '0.7813', 'visual_loss': '2.777', 'seg_loss': '0.6198', 'dino_loss': '0.9324', 'depth_loss': '0.2415', 'vggt_mse_loss': '0.2398', 'vggt_cos_loss': '0.01746', 'pidinet_loss': '0.2269', 'siglip_loss': '0.7568', 'epoch': '0.1922'} + 59%|█████████████████▊ | 5342/9000 [3:40:11<4:05:03, 4.02s/it][Dataset] cur_step=5343 phase=C_full_covt +[Dataset] cur_step=5343 phase=C_full_covt[Dataset] cur_step=5343 phase=C_full_covt + +[Dataset] cur_step=5343 phase=C_full_covt + 59%|█████████████████▊ | 5343/9000 [3:40:12<4:09:21, 4.09s/it][Dataset] cur_step=5343 phase=C_full_covt +[Dataset] cur_step=5343 phase=C_full_covt[Dataset] cur_step=5343 phase=C_full_covt + +[Dataset] cur_step=5343 phase=C_full_covt + {'loss': '3.134', 'grad_norm': '2.737', 'learning_rate': '1.937e-05', 'epoch': '0.1922'} + 59%|█████████████████▊ | 5343/9000 [3:40:12<4:09:21, 4.09s/it] {'lm_loss': '1.072', 'visual_loss': '2.921', 'seg_loss': '0.8279', 'dino_loss': '0.9139', 'depth_loss': '0.2893', 'vggt_mse_loss': '0.2872', 'vggt_cos_loss': '0.02142', 'pidinet_loss': '0.2594', 'siglip_loss': '0.6306', 'epoch': '0.1922'} + 59%|█████████████████▊ | 5343/9000 [3:40:15<4:09:21, 4.09s/it][Dataset] cur_step=5344 phase=C_full_covt +[Dataset] cur_step=5344 phase=C_full_covt[Dataset] cur_step=5344 phase=C_full_covt + +[Dataset] cur_step=5344 phase=C_full_covt + 59%|█████████████████▊ | 5344/9000 [3:40:16<4:07:47, 4.07s/it][Dataset] cur_step=5344 phase=C_full_covt +[Dataset] cur_step=5344 phase=C_full_covt +[Dataset] cur_step=5344 phase=C_full_covt +[Dataset] cur_step=5344 phase=C_full_covt + {'loss': '3.37', 'grad_norm': '4.062', 'learning_rate': '1.936e-05', 'epoch': '0.1923'} + 59%|█████████████████▊ | 5344/9000 [3:40:16<4:07:47, 4.07s/it] {'lm_loss': '0.4301', 'visual_loss': '2.731', 'seg_loss': '0.6643', 'dino_loss': '0.8948', 'depth_loss': '0.2148', 'vggt_mse_loss': '0.2131', 'vggt_cos_loss': '0.01672', 'pidinet_loss': '0.2654', 'siglip_loss': '0.6916', 'epoch': '0.1923'} + 59%|█████████████████▊ | 5344/9000 [3:40:21<4:07:47, 4.07s/it][Dataset] cur_step=5345 phase=C_full_covt + 59%|█████████████████▊ | 5345/9000 [3:40:22<4:44:10, 4.66s/it][Dataset] cur_step=5345 phase=C_full_covt +[Dataset] cur_step=5345 phase=C_full_covt +[Dataset] cur_step=5345 phase=C_full_covt +[Dataset] cur_step=5345 phase=C_full_covt +[Dataset] cur_step=5345 phase=C_full_covt +[Dataset] cur_step=5345 phase=C_full_covt +[Dataset] cur_step=5345 phase=C_full_covt + {'loss': '3.216', 'grad_norm': '1.942', 'learning_rate': '1.935e-05', 'epoch': '0.1923'} + 59%|█████████████████▊ | 5345/9000 [3:40:22<4:44:10, 4.66s/it] {'lm_loss': '0.5838', 'visual_loss': '2.737', 'seg_loss': '0.7682', 'dino_loss': '0.9148', 'depth_loss': '0.225', 'vggt_mse_loss': '0.2231', 'vggt_cos_loss': '0.01832', 'pidinet_loss': '0.2363', 'siglip_loss': '0.5923', 'epoch': '0.1923'} + 59%|█████████████████▊ | 5345/9000 [3:40:25<4:44:10, 4.66s/it][Dataset] cur_step=5346 phase=C_full_covt +[Dataset] cur_step=5346 phase=C_full_covt +[Dataset] cur_step=5346 phase=C_full_covt +[Dataset] cur_step=5346 phase=C_full_covt +[Dataset] cur_step=5346 phase=C_full_covt +[Dataset] cur_step=5346 phase=C_full_covt +[Dataset] cur_step=5346 phase=C_full_covt +[Dataset] cur_step=5346 phase=C_full_covt + 59%|█████████████████▊ | 5346/9000 [3:40:26<4:31:59, 4.47s/it] {'loss': '3.487', 'grad_norm': '1.839', 'learning_rate': '1.934e-05', 'epoch': '0.1923'} + 59%|█████████████████▊ | 5346/9000 [3:40:26<4:31:59, 4.47s/it] {'lm_loss': '0.4945', 'visual_loss': '2.896', 'seg_loss': '0.8446', 'dino_loss': '0.9098', 'depth_loss': '0.2548', 'vggt_mse_loss': '0.2529', 'vggt_cos_loss': '0.01909', 'pidinet_loss': '0.286', 'siglip_loss': '0.6009', 'epoch': '0.1923'} + 59%|█████████████████▊ | 5346/9000 [3:40:29<4:31:59, 4.47s/it][Dataset] cur_step=5347 phase=C_full_covt +[Dataset] cur_step=5347 phase=C_full_covt[Dataset] cur_step=5347 phase=C_full_covt + +[Dataset] cur_step=5347 phase=C_full_covt +[Dataset] cur_step=5347 phase=C_full_covt +[Dataset] cur_step=5347 phase=C_full_covt +[Dataset] cur_step=5347 phase=C_full_covt +[Dataset] cur_step=5347 phase=C_full_covt + 59%|█████████████████▊ | 5347/9000 [3:40:30<4:21:47, 4.30s/it] {'loss': '3.419', 'grad_norm': '2.315', 'learning_rate': '1.934e-05', 'epoch': '0.1924'} + 59%|█████████████████▊ | 5347/9000 [3:40:30<4:21:47, 4.30s/it] {'lm_loss': '0.4457', 'visual_loss': '2.77', 'seg_loss': '0.7015', 'dino_loss': '0.9396', 'depth_loss': '0.2259', 'vggt_mse_loss': '0.2245', 'vggt_cos_loss': '0.01452', 'pidinet_loss': '0.2674', 'siglip_loss': '0.6359', 'epoch': '0.1924'} + 59%|█████████████████▊ | 5347/9000 [3:40:33<4:21:47, 4.30s/it][Dataset] cur_step=5348 phase=C_full_covt +[Dataset] cur_step=5348 phase=C_full_covt[Dataset] cur_step=5348 phase=C_full_covt +[Dataset] cur_step=5348 phase=C_full_covt + + 59%|█████████████████▊ | 5348/9000 [3:40:34<4:17:38, 4.23s/it][Dataset] cur_step=5348 phase=C_full_covt +[Dataset] cur_step=5348 phase=C_full_covt +[Dataset] cur_step=5348 phase=C_full_covt +[Dataset] cur_step=5348 phase=C_full_covt + {'loss': '3.095', 'grad_norm': '2.945', 'learning_rate': '1.933e-05', 'epoch': '0.1924'} + 59%|█████████████████▊ | 5348/9000 [3:40:34<4:17:38, 4.23s/it] {'lm_loss': '0.5482', 'visual_loss': '2.852', 'seg_loss': '0.7322', 'dino_loss': '0.916', 'depth_loss': '0.3411', 'vggt_mse_loss': '0.3381', 'vggt_cos_loss': '0.02999', 'pidinet_loss': '0.2189', 'siglip_loss': '0.6436', 'epoch': '0.1924'} + 59%|█████████████████▊ | 5348/9000 [3:40:37<4:17:38, 4.23s/it][Dataset] cur_step=5349 phase=C_full_covt +[Dataset] cur_step=5349 phase=C_full_covt +[Dataset] cur_step=5349 phase=C_full_covt +[Dataset] cur_step=5349 phase=C_full_covt +[Dataset] cur_step=5349 phase=C_full_covt +[Dataset] cur_step=5349 phase=C_full_covt +[Dataset] cur_step=5349 phase=C_full_covt +[Dataset] cur_step=5349 phase=C_full_covt + 59%|█████████████████▊ | 5349/9000 [3:40:38<4:11:21, 4.13s/it] {'loss': '3.116', 'grad_norm': '1.904', 'learning_rate': '1.932e-05', 'epoch': '0.1924'} + 59%|█████████████████▊ | 5349/9000 [3:40:38<4:11:21, 4.13s/it] {'lm_loss': '0.55', 'visual_loss': '2.819', 'seg_loss': '0.8152', 'dino_loss': '0.9417', 'depth_loss': '0.2852', 'vggt_mse_loss': '0.2831', 'vggt_cos_loss': '0.02113', 'pidinet_loss': '0.2199', 'siglip_loss': '0.5567', 'epoch': '0.1924'} + 59%|█████████████████▊ | 5349/9000 [3:40:41<4:11:21, 4.13s/it][Dataset] cur_step=5350 phase=C_full_covt +[Dataset] cur_step=5350 phase=C_full_covt +[Dataset] cur_step=5350 phase=C_full_covt +[Dataset] cur_step=5350 phase=C_full_covt +[Dataset] cur_step=5350 phase=C_full_covt +[Dataset] cur_step=5350 phase=C_full_covt +[Dataset] cur_step=5350 phase=C_full_covt +[Dataset] cur_step=5350 phase=C_full_covt + 59%|█████████████████▊ | 5350/9000 [3:40:42<4:04:45, 4.02s/it] {'loss': '3.289', 'grad_norm': '1.796', 'learning_rate': '1.931e-05', 'epoch': '0.1925'} + 59%|█████████████████▊ | 5350/9000 [3:40:42<4:04:45, 4.02s/it] {'lm_loss': '0.893', 'visual_loss': '2.526', 'seg_loss': '0.7084', 'dino_loss': '0.8979', 'depth_loss': '0.2712', 'vggt_mse_loss': '0.2695', 'vggt_cos_loss': '0.01718', 'pidinet_loss': '0.1698', 'siglip_loss': '0.479', 'epoch': '0.1925'} + 59%|█████████████████▊ | 5350/9000 [3:40:45<4:04:45, 4.02s/it][Dataset] cur_step=5351 phase=C_full_covt +[Dataset] cur_step=5351 phase=C_full_covt +[Dataset] cur_step=5351 phase=C_full_covt +[Dataset] cur_step=5351 phase=C_full_covt + 59%|█████████████████▊ | 5351/9000 [3:40:45<4:03:10, 4.00s/it][Dataset] cur_step=5351 phase=C_full_covt +[Dataset] cur_step=5351 phase=C_full_covt +[Dataset] cur_step=5351 phase=C_full_covt +[Dataset] cur_step=5351 phase=C_full_covt + {'loss': '3.12', 'grad_norm': '1.629', 'learning_rate': '1.93e-05', 'epoch': '0.1925'} + 59%|█████████████████▊ | 5351/9000 [3:40:45<4:03:10, 4.00s/it] {'lm_loss': '0.3832', 'visual_loss': '2.449', 'seg_loss': '0.6246', 'dino_loss': '0.8966', 'depth_loss': '0.2595', 'vggt_mse_loss': '0.2578', 'vggt_cos_loss': '0.01754', 'pidinet_loss': '0.2145', 'siglip_loss': '0.454', 'epoch': '0.1925'} + 59%|█████████████████▊ | 5351/9000 [3:40:49<4:03:10, 4.00s/it][Dataset] cur_step=5352 phase=C_full_covt +[Dataset] cur_step=5352 phase=C_full_covt[Dataset] cur_step=5352 phase=C_full_covt + +[Dataset] cur_step=5352 phase=C_full_covt +[Dataset] cur_step=5352 phase=C_full_covt[Dataset] cur_step=5352 phase=C_full_covt + + 59%|█████████████████▊ | 5352/9000 [3:40:49<3:58:20, 3.92s/it][Dataset] cur_step=5352 phase=C_full_covt +[Dataset] cur_step=5352 phase=C_full_covt + {'loss': '3.071', 'grad_norm': '5.8', 'learning_rate': '1.929e-05', 'epoch': '0.1925'} + 59%|█████████████████▊ | 5352/9000 [3:40:49<3:58:20, 3.92s/it] {'lm_loss': '0.8915', 'visual_loss': '2.563', 'seg_loss': '0.7118', 'dino_loss': '0.9382', 'depth_loss': '0.2827', 'vggt_mse_loss': '0.2809', 'vggt_cos_loss': '0.01787', 'pidinet_loss': '0.2159', 'siglip_loss': '0.4147', 'epoch': '0.1925'} + 59%|█████████████████▊ | 5352/9000 [3:40:52<3:58:20, 3.92s/it][Dataset] cur_step=5353 phase=C_full_covt +[Dataset] cur_step=5353 phase=C_full_covt +[Dataset] cur_step=5353 phase=C_full_covt +[Dataset] cur_step=5353 phase=C_full_covt +[Dataset] cur_step=5353 phase=C_full_covt +[Dataset] cur_step=5353 phase=C_full_covt +[Dataset] cur_step=5353 phase=C_full_covt +[Dataset] cur_step=5353 phase=C_full_covt + 59%|█████████████████▊ | 5353/9000 [3:40:53<3:53:10, 3.84s/it] {'loss': '3.223', 'grad_norm': '2.666', 'learning_rate': '1.928e-05', 'epoch': '0.1926'} + 59%|█████████████████▊ | 5353/9000 [3:40:53<3:53:10, 3.84s/it] {'lm_loss': '0.3612', 'visual_loss': '2.405', 'seg_loss': '0.6731', 'dino_loss': '0.868', 'depth_loss': '0.2591', 'vggt_mse_loss': '0.2571', 'vggt_cos_loss': '0.02028', 'pidinet_loss': '0.1775', 'siglip_loss': '0.4278', 'epoch': '0.1926'} + 59%|█████████████████▊ | 5353/9000 [3:40:57<3:53:10, 3.84s/it][Dataset] cur_step=5354 phase=C_full_covt +[Dataset] cur_step=5354 phase=C_full_covt[Dataset] cur_step=5354 phase=C_full_covt + 59%|█████████████████▊ | 5354/9000 [3:40:57<3:59:39, 3.94s/it] +[Dataset] cur_step=5354 phase=C_full_covt[Dataset] cur_step=5354 phase=C_full_covt + +[Dataset] cur_step=5354 phase=C_full_covt +[Dataset] cur_step=5354 phase=C_full_covt +[Dataset] cur_step=5354 phase=C_full_covt + {'loss': '3.161', 'grad_norm': '1.991', 'learning_rate': '1.927e-05', 'epoch': '0.1926'} + 59%|█████████████████▊ | 5354/9000 [3:40:57<3:59:39, 3.94s/it] {'lm_loss': '0.308', 'visual_loss': '2.569', 'seg_loss': '0.7582', 'dino_loss': '0.9003', 'depth_loss': '0.3331', 'vggt_mse_loss': '0.3309', 'vggt_cos_loss': '0.02216', 'pidinet_loss': '0.1946', 'siglip_loss': '0.3831', 'epoch': '0.1926'} + 59%|█████████████████▊ | 5354/9000 [3:41:00<3:59:39, 3.94s/it][Dataset] cur_step=5355 phase=C_full_covt +[Dataset] cur_step=5355 phase=C_full_covt +[Dataset] cur_step=5355 phase=C_full_covt[Dataset] cur_step=5355 phase=C_full_covt + +[Dataset] cur_step=5355 phase=C_full_covt[Dataset] cur_step=5355 phase=C_full_covt 60%|█████████████████▊ | 5355/9000 [3:41:01<3:55:22, 3.87s/it] + +[Dataset] cur_step=5355 phase=C_full_covt +[Dataset] cur_step=5355 phase=C_full_covt + {'loss': '3.171', 'grad_norm': '2.229', 'learning_rate': '1.926e-05', 'epoch': '0.1926'} + 60%|█████████████████▊ | 5355/9000 [3:41:01<3:55:22, 3.87s/it] {'lm_loss': '0.5102', 'visual_loss': '2.908', 'seg_loss': '0.818', 'dino_loss': '0.8704', 'depth_loss': '0.2014', 'vggt_mse_loss': '0.2002', 'vggt_cos_loss': '0.01193', 'pidinet_loss': '0.2076', 'siglip_loss': '0.811', 'epoch': '0.1926'} + 60%|█████████████████▊ | 5355/9000 [3:41:04<3:55:22, 3.87s/it][Dataset] cur_step=5356 phase=C_full_covt +[Dataset] cur_step=5356 phase=C_full_covt[Dataset] cur_step=5356 phase=C_full_covt + +[Dataset] cur_step=5356 phase=C_full_covt +[Dataset] cur_step=5356 phase=C_full_covt[Dataset] cur_step=5356 phase=C_full_covt + 60%|█████████████████▊ | 5356/9000 [3:41:05<3:57:45, 3.91s/it] +[Dataset] cur_step=5356 phase=C_full_covt +[Dataset] cur_step=5356 phase=C_full_covt + {'loss': '3.216', 'grad_norm': '2.865', 'learning_rate': '1.926e-05', 'epoch': '0.1927'} + 60%|█████████████████▊ | 5356/9000 [3:41:05<3:57:45, 3.91s/it] {'lm_loss': '0.8641', 'visual_loss': '2.695', 'seg_loss': '0.6597', 'dino_loss': '0.9033', 'depth_loss': '0.2985', 'vggt_mse_loss': '0.2961', 'vggt_cos_loss': '0.02421', 'pidinet_loss': '0.253', 'siglip_loss': '0.5805', 'epoch': '0.1927'} + 60%|█████████████████▊ | 5356/9000 [3:41:08<3:57:45, 3.91s/it][Dataset] cur_step=5357 phase=C_full_covt[Dataset] cur_step=5357 phase=C_full_covt + + 60%|█████████████████▊ | 5357/9000 [3:41:08<3:53:29, 3.85s/it][Dataset] cur_step=5357 phase=C_full_covt +[Dataset] cur_step=5357 phase=C_full_covt +[Dataset] cur_step=5357 phase=C_full_covt[Dataset] cur_step=5357 phase=C_full_covt + +[Dataset] cur_step=5357 phase=C_full_covt +[Dataset] cur_step=5357 phase=C_full_covt + {'loss': '3.174', 'grad_norm': '2.705', 'learning_rate': '1.925e-05', 'epoch': '0.1927'} + 60%|█████████████████▊ | 5357/9000 [3:41:08<3:53:29, 3.85s/it] {'lm_loss': '0.22', 'visual_loss': '2.386', 'seg_loss': '0.5989', 'dino_loss': '0.8937', 'depth_loss': '0.25', 'vggt_mse_loss': '0.2485', 'vggt_cos_loss': '0.01572', 'pidinet_loss': '0.141', 'siglip_loss': '0.5026', 'epoch': '0.1927'} + 60%|█████████████████▊ | 5357/9000 [3:41:12<3:53:29, 3.85s/it][Dataset] cur_step=5358 phase=C_full_covt[Dataset] cur_step=5358 phase=C_full_covt + +[Dataset] cur_step=5358 phase=C_full_covt +[Dataset] cur_step=5358 phase=C_full_covt +[Dataset] cur_step=5358 phase=C_full_covt +[Dataset] cur_step=5358 phase=C_full_covt +[Dataset] cur_step=5358 phase=C_full_covt +[Dataset] cur_step=5358 phase=C_full_covt + 60%|█████████████████▊ | 5358/9000 [3:41:13<3:58:28, 3.93s/it] {'loss': '3.004', 'grad_norm': '2.8', 'learning_rate': '1.924e-05', 'epoch': '0.1928'} + 60%|█████████████████▊ | 5358/9000 [3:41:13<3:58:28, 3.93s/it] {'lm_loss': '0.01374', 'visual_loss': '2.573', 'seg_loss': '0.8271', 'dino_loss': '0.9159', 'depth_loss': '0.2046', 'vggt_mse_loss': '0.2032', 'vggt_cos_loss': '0.01388', 'pidinet_loss': '0.2176', 'siglip_loss': '0.4079', 'epoch': '0.1928'} + 60%|█████████████████▊ | 5358/9000 [3:41:16<3:58:28, 3.93s/it][Dataset] cur_step=5359 phase=C_full_covt +[Dataset] cur_step=5359 phase=C_full_covt +[Dataset] cur_step=5359 phase=C_full_covt +[Dataset] cur_step=5359 phase=C_full_covt[Dataset] cur_step=5359 phase=C_full_covt + +[Dataset] cur_step=5359 phase=C_full_covt +[Dataset] cur_step=5359 phase=C_full_covt + 60%|█████████████████▊ | 5359/9000 [3:41:17<4:04:20, 4.03s/it][Dataset] cur_step=5359 phase=C_full_covt + {'loss': '3.298', 'grad_norm': '1.742', 'learning_rate': '1.923e-05', 'epoch': '0.1928'} + 60%|█████████████████▊ | 5359/9000 [3:41:17<4:04:20, 4.03s/it] {'lm_loss': '0.974', 'visual_loss': '2.811', 'seg_loss': '0.6891', 'dino_loss': '0.8967', 'depth_loss': '0.2095', 'vggt_mse_loss': '0.208', 'vggt_cos_loss': '0.01458', 'pidinet_loss': '0.242', 'siglip_loss': '0.7738', 'epoch': '0.1928'} + 60%|█████████████████▊ | 5359/9000 [3:41:20<4:04:20, 4.03s/it][Dataset] cur_step=5360 phase=C_full_covt +[Dataset] cur_step=5360 phase=C_full_covt +[Dataset] cur_step=5360 phase=C_full_covt +[Dataset] cur_step=5360 phase=C_full_covt +[Dataset] cur_step=5360 phase=C_full_covt + 60%|█████████████████▊ | 5360/9000 [3:41:21<4:12:21, 4.16s/it][Dataset] cur_step=5360 phase=C_full_covt +[Dataset] cur_step=5360 phase=C_full_covt +[Dataset] cur_step=5360 phase=C_full_covt + {'loss': '3.552', 'grad_norm': '3.696', 'learning_rate': '1.922e-05', 'epoch': '0.1928'} + 60%|█████████████████▊ | 5360/9000 [3:41:21<4:12:21, 4.16s/it] {'lm_loss': '0.6868', 'visual_loss': '2.917', 'seg_loss': '0.7001', 'dino_loss': '0.8809', 'depth_loss': '0.2159', 'vggt_mse_loss': '0.2145', 'vggt_cos_loss': '0.01389', 'pidinet_loss': '0.2826', 'siglip_loss': '0.8371', 'epoch': '0.1928'} + 60%|█████████████████▊ | 5360/9000 [3:41:25<4:12:21, 4.16s/it][Dataset] cur_step=5361 phase=C_full_covt +[Dataset] cur_step=5361 phase=C_full_covt[Dataset] cur_step=5361 phase=C_full_covt +[Dataset] cur_step=5361 phase=C_full_covt + + 60%|█████████████████▊ | 5361/9000 [3:41:26<4:19:03, 4.27s/it][Dataset] cur_step=5361 phase=C_full_covt +[Dataset] cur_step=5361 phase=C_full_covt +[Dataset] cur_step=5361 phase=C_full_covt +[Dataset] cur_step=5361 phase=C_full_covt + {'loss': '3.166', 'grad_norm': '2.349', 'learning_rate': '1.921e-05', 'epoch': '0.1929'} + 60%|█████████████████▊ | 5361/9000 [3:41:26<4:19:03, 4.27s/it] {'lm_loss': '0.03868', 'visual_loss': '2.588', 'seg_loss': '0.7555', 'dino_loss': '0.8854', 'depth_loss': '0.1819', 'vggt_mse_loss': '0.181', 'vggt_cos_loss': '0.009858', 'pidinet_loss': '0.2107', 'siglip_loss': '0.5544', 'epoch': '0.1929'} + 60%|█████████████████▊ | 5361/9000 [3:41:29<4:19:03, 4.27s/it][Dataset] cur_step=5362 phase=C_full_covt +[Dataset] cur_step=5362 phase=C_full_covt +[Dataset] cur_step=5362 phase=C_full_covt +[Dataset] cur_step=5362 phase=C_full_covt +[Dataset] cur_step=5362 phase=C_full_covt +[Dataset] cur_step=5362 phase=C_full_covt + 60%|█████████████████▊ | 5362/9000 [3:41:30<4:13:48, 4.19s/it][Dataset] cur_step=5362 phase=C_full_covt +[Dataset] cur_step=5362 phase=C_full_covt + {'loss': '3.08', 'grad_norm': '1.902', 'learning_rate': '1.92e-05', 'epoch': '0.1929'} + 60%|█████████████████▊ | 5362/9000 [3:41:30<4:13:48, 4.19s/it] {'lm_loss': '0.3057', 'visual_loss': '2.693', 'seg_loss': '0.7219', 'dino_loss': '0.9117', 'depth_loss': '0.2769', 'vggt_mse_loss': '0.2748', 'vggt_cos_loss': '0.02074', 'pidinet_loss': '0.2701', 'siglip_loss': '0.5127', 'epoch': '0.1929'} + 60%|█████████████████▊ | 5362/9000 [3:41:33<4:13:48, 4.19s/it][Dataset] cur_step=5363 phase=C_full_covt[Dataset] cur_step=5363 phase=C_full_covt +[Dataset] cur_step=5363 phase=C_full_covt + +[Dataset] cur_step=5363 phase=C_full_covt[Dataset] cur_step=5363 phase=C_full_covt + +[Dataset] cur_step=5363 phase=C_full_covt +[Dataset] cur_step=5363 phase=C_full_covt + 60%|█████████████████▉ | 5363/9000 [3:41:34<4:10:59, 4.14s/it][Dataset] cur_step=5363 phase=C_full_covt + {'loss': '3.01', 'grad_norm': '5.068', 'learning_rate': '1.919e-05', 'epoch': '0.1929'} + 60%|█████████████████▉ | 5363/9000 [3:41:34<4:10:59, 4.14s/it] {'lm_loss': '0.1927', 'visual_loss': '2.786', 'seg_loss': '0.7973', 'dino_loss': '0.9272', 'depth_loss': '0.2512', 'vggt_mse_loss': '0.2492', 'vggt_cos_loss': '0.02011', 'pidinet_loss': '0.263', 'siglip_loss': '0.547', 'epoch': '0.1929'} + 60%|█████████████████▉ | 5363/9000 [3:41:37<4:10:59, 4.14s/it][Dataset] cur_step=5364 phase=C_full_covt[Dataset] cur_step=5364 phase=C_full_covt + +[Dataset] cur_step=5364 phase=C_full_covt +[Dataset] cur_step=5364 phase=C_full_covt +[Dataset] cur_step=5364 phase=C_full_covt +[Dataset] cur_step=5364 phase=C_full_covt[Dataset] cur_step=5364 phase=C_full_covt + +[Dataset] cur_step=5364 phase=C_full_covt + 60%|█████████████████▉ | 5364/9000 [3:41:38<4:02:26, 4.00s/it] {'loss': '3.101', 'grad_norm': '2.36', 'learning_rate': '1.918e-05', 'epoch': '0.193'} + 60%|█████████████████▉ | 5364/9000 [3:41:38<4:02:26, 4.00s/it] {'lm_loss': '1.029', 'visual_loss': '2.853', 'seg_loss': '0.7329', 'dino_loss': '0.915', 'depth_loss': '0.3127', 'vggt_mse_loss': '0.3107', 'vggt_cos_loss': '0.01975', 'pidinet_loss': '0.2027', 'siglip_loss': '0.6894', 'epoch': '0.193'} + 60%|█████████████████▉ | 5364/9000 [3:41:41<4:02:26, 4.00s/it][Dataset] cur_step=5365 phase=C_full_covt +[Dataset] cur_step=5365 phase=C_full_covt + 60%|█████████████████▉ | 5365/9000 [3:41:41<3:59:11, 3.95s/it][Dataset] cur_step=5365 phase=C_full_covt +[Dataset] cur_step=5365 phase=C_full_covt[Dataset] cur_step=5365 phase=C_full_covt + +[Dataset] cur_step=5365 phase=C_full_covt[Dataset] cur_step=5365 phase=C_full_covt + +[Dataset] cur_step=5365 phase=C_full_covt + {'loss': '3.082', 'grad_norm': '3.62', 'learning_rate': '1.918e-05', 'epoch': '0.193'} + 60%|█████████████████▉ | 5365/9000 [3:41:41<3:59:11, 3.95s/it] {'lm_loss': '0.1634', 'visual_loss': '2.682', 'seg_loss': '0.6704', 'dino_loss': '0.9039', 'depth_loss': '0.2129', 'vggt_mse_loss': '0.2114', 'vggt_cos_loss': '0.01458', 'pidinet_loss': '0.3163', 'siglip_loss': '0.5782', 'epoch': '0.193'} + 60%|█████████████████▉ | 5365/9000 [3:41:45<3:59:11, 3.95s/it][Dataset] cur_step=5366 phase=C_full_covt +[Dataset] cur_step=5366 phase=C_full_covt +[Dataset] cur_step=5366 phase=C_full_covt + 60%|█████████████████▉ | 5366/9000 [3:41:45<3:59:02, 3.95s/it][Dataset] cur_step=5366 phase=C_full_covt[Dataset] cur_step=5366 phase=C_full_covt + +[Dataset] cur_step=5366 phase=C_full_covt +[Dataset] cur_step=5366 phase=C_full_covt +[Dataset] cur_step=5366 phase=C_full_covt + {'loss': '3.232', 'grad_norm': '2.223', 'learning_rate': '1.917e-05', 'epoch': '0.193'} + 60%|█████████████████▉ | 5366/9000 [3:41:45<3:59:02, 3.95s/it] {'lm_loss': '0.6625', 'visual_loss': '2.599', 'seg_loss': '0.7373', 'dino_loss': '0.898', 'depth_loss': '0.2326', 'vggt_mse_loss': '0.2309', 'vggt_cos_loss': '0.01758', 'pidinet_loss': '0.2225', 'siglip_loss': '0.5086', 'epoch': '0.193'} + 60%|█████████████████▉ | 5366/9000 [3:41:49<3:59:02, 3.95s/it][Dataset] cur_step=5367 phase=C_full_covt[Dataset] cur_step=5367 phase=C_full_covt + +[Dataset] cur_step=5367 phase=C_full_covt +[Dataset] cur_step=5367 phase=C_full_covt +[Dataset] cur_step=5367 phase=C_full_covt +[Dataset] cur_step=5367 phase=C_full_covt + 60%|█████████████████▉ | 5367/9000 [3:41:49<3:58:37, 3.94s/it][Dataset] cur_step=5367 phase=C_full_covt +[Dataset] cur_step=5367 phase=C_full_covt + {'loss': '3.139', 'grad_norm': '3.617', 'learning_rate': '1.916e-05', 'epoch': '0.1931'} + 60%|█████████████████▉ | 5367/9000 [3:41:49<3:58:37, 3.94s/it] {'lm_loss': '1.027', 'visual_loss': '2.782', 'seg_loss': '0.7253', 'dino_loss': '0.8754', 'depth_loss': '0.2773', 'vggt_mse_loss': '0.2751', 'vggt_cos_loss': '0.02137', 'pidinet_loss': '0.284', 'siglip_loss': '0.6203', 'epoch': '0.1931'} + 60%|█████████████████▉ | 5367/9000 [3:41:52<3:58:37, 3.94s/it][Dataset] cur_step=5368 phase=C_full_covt +[Dataset] cur_step=5368 phase=C_full_covt +[Dataset] cur_step=5368 phase=C_full_covt +[Dataset] cur_step=5368 phase=C_full_covt +[Dataset] cur_step=5368 phase=C_full_covt +[Dataset] cur_step=5368 phase=C_full_covt[Dataset] cur_step=5368 phase=C_full_covt + +[Dataset] cur_step=5368 phase=C_full_covt + 60%|█████████████████▉ | 5368/9000 [3:41:53<3:55:21, 3.89s/it] {'loss': '3.287', 'grad_norm': '2.536', 'learning_rate': '1.915e-05', 'epoch': '0.1931'} + 60%|█████████████████▉ | 5368/9000 [3:41:53<3:55:21, 3.89s/it] {'lm_loss': '0.5588', 'visual_loss': '2.648', 'seg_loss': '0.6657', 'dino_loss': '0.8987', 'depth_loss': '0.2604', 'vggt_mse_loss': '0.2587', 'vggt_cos_loss': '0.01625', 'pidinet_loss': '0.2416', 'siglip_loss': '0.5814', 'epoch': '0.1931'} + 60%|█████████████████▉ | 5368/9000 [3:41:56<3:55:21, 3.89s/it][Dataset] cur_step=5369 phase=C_full_covt[Dataset] cur_step=5369 phase=C_full_covt + +[Dataset] cur_step=5369 phase=C_full_covt +[Dataset] cur_step=5369 phase=C_full_covt +[Dataset] cur_step=5369 phase=C_full_covt +[Dataset] cur_step=5369 phase=C_full_covt +[Dataset] cur_step=5369 phase=C_full_covt + 60%|█████████████████▉ | 5369/9000 [3:41:57<4:05:33, 4.06s/it][Dataset] cur_step=5369 phase=C_full_covt + {'loss': '3.024', 'grad_norm': '3.571', 'learning_rate': '1.914e-05', 'epoch': '0.1932'} + 60%|█████████████████▉ | 5369/9000 [3:41:57<4:05:33, 4.06s/it] {'lm_loss': '0.2253', 'visual_loss': '2.83', 'seg_loss': '0.7359', 'dino_loss': '0.9231', 'depth_loss': '0.2685', 'vggt_mse_loss': '0.2668', 'vggt_cos_loss': '0.01775', 'pidinet_loss': '0.1517', 'siglip_loss': '0.751', 'epoch': '0.1932'} + 60%|█████████████████▉ | 5369/9000 [3:42:01<4:05:33, 4.06s/it][Dataset] cur_step=5370 phase=C_full_covt +[Dataset] cur_step=5370 phase=C_full_covt +[Dataset] cur_step=5370 phase=C_full_covt[Dataset] cur_step=5370 phase=C_full_covt + + 60%|█████████████████▉ | 5370/9000 [3:42:01<4:05:38, 4.06s/it][Dataset] cur_step=5370 phase=C_full_covt[Dataset] cur_step=5370 phase=C_full_covt + +[Dataset] cur_step=5370 phase=C_full_covt +[Dataset] cur_step=5370 phase=C_full_covt + {'loss': '3.162', 'grad_norm': '3.344', 'learning_rate': '1.913e-05', 'epoch': '0.1932'} + 60%|█████████████████▉ | 5370/9000 [3:42:02<4:05:38, 4.06s/it] {'lm_loss': '0.2947', 'visual_loss': '2.583', 'seg_loss': '0.7053', 'dino_loss': '0.9103', 'depth_loss': '0.3282', 'vggt_mse_loss': '0.3253', 'vggt_cos_loss': '0.02834', 'pidinet_loss': '0.1786', 'siglip_loss': '0.4603', 'epoch': '0.1932'} + 60%|█████████████████▉ | 5370/9000 [3:42:05<4:05:38, 4.06s/it][Dataset] cur_step=5371 phase=C_full_covt +[Dataset] cur_step=5371 phase=C_full_covt +[Dataset] cur_step=5371 phase=C_full_covt[Dataset] cur_step=5371 phase=C_full_covt + +[Dataset] cur_step=5371 phase=C_full_covt[Dataset] cur_step=5371 phase=C_full_covt + +[Dataset] cur_step=5371 phase=C_full_covt + 60%|█████████████████▉ | 5371/9000 [3:42:05<4:04:06, 4.04s/it][Dataset] cur_step=5371 phase=C_full_covt + {'loss': '3.19', 'grad_norm': '3.289', 'learning_rate': '1.912e-05', 'epoch': '0.1932'} + 60%|█████████████████▉ | 5371/9000 [3:42:05<4:04:06, 4.04s/it] {'lm_loss': '0.5425', 'visual_loss': '2.816', 'seg_loss': '0.7822', 'dino_loss': '0.9295', 'depth_loss': '0.3253', 'vggt_mse_loss': '0.3228', 'vggt_cos_loss': '0.02465', 'pidinet_loss': '0.2269', 'siglip_loss': '0.5525', 'epoch': '0.1932'} + 60%|█████████████████▉ | 5371/9000 [3:42:09<4:04:06, 4.04s/it][Dataset] cur_step=5372 phase=C_full_covt[Dataset] cur_step=5372 phase=C_full_covt + +[Dataset] cur_step=5372 phase=C_full_covt[Dataset] cur_step=5372 phase=C_full_covt + + 60%|█████████████████▉ | 5372/9000 [3:42:10<4:08:52, 4.12s/it][Dataset] cur_step=5372 phase=C_full_covt[Dataset] cur_step=5372 phase=C_full_covt + +[Dataset] cur_step=5372 phase=C_full_covt +[Dataset] cur_step=5372 phase=C_full_covt + {'loss': '3.251', 'grad_norm': '2.5', 'learning_rate': '1.911e-05', 'epoch': '0.1933'} + 60%|█████████████████▉ | 5372/9000 [3:42:10<4:08:52, 4.12s/it] {'lm_loss': '0.2226', 'visual_loss': '2.702', 'seg_loss': '0.7606', 'dino_loss': '0.9055', 'depth_loss': '0.239', 'vggt_mse_loss': '0.2374', 'vggt_cos_loss': '0.01607', 'pidinet_loss': '0.2087', 'siglip_loss': '0.5886', 'epoch': '0.1933'} + 60%|█████████████████▉ | 5372/9000 [3:42:13<4:08:52, 4.12s/it][Dataset] cur_step=5373 phase=C_full_covt +[Dataset] cur_step=5373 phase=C_full_covt +[Dataset] cur_step=5373 phase=C_full_covt[Dataset] cur_step=5373 phase=C_full_covt + +[Dataset] cur_step=5373 phase=C_full_covt 60%|█████████████████▉ | 5373/9000 [3:42:14<4:06:34, 4.08s/it] +[Dataset] cur_step=5373 phase=C_full_covt[Dataset] cur_step=5373 phase=C_full_covt + +[Dataset] cur_step=5373 phase=C_full_covt + {'loss': '2.903', 'grad_norm': '2.217', 'learning_rate': '1.91e-05', 'epoch': '0.1933'} + 60%|█████████████████▉ | 5373/9000 [3:42:14<4:06:34, 4.08s/it] {'lm_loss': '0.3653', 'visual_loss': '2.928', 'seg_loss': '0.7999', 'dino_loss': '0.9192', 'depth_loss': '0.2713', 'vggt_mse_loss': '0.2697', 'vggt_cos_loss': '0.01544', 'pidinet_loss': '0.2109', 'siglip_loss': '0.727', 'epoch': '0.1933'} + 60%|█████████████████▉ | 5373/9000 [3:42:17<4:06:34, 4.08s/it][Dataset] cur_step=5374 phase=C_full_covt +[Dataset] cur_step=5374 phase=C_full_covt +[Dataset] cur_step=5374 phase=C_full_covt[Dataset] cur_step=5374 phase=C_full_covt + +[Dataset] cur_step=5374 phase=C_full_covt +[Dataset] cur_step=5374 phase=C_full_covt +[Dataset] cur_step=5374 phase=C_full_covt +[Dataset] cur_step=5374 phase=C_full_covt + 60%|█████████████████▉ | 5374/9000 [3:42:18<4:05:34, 4.06s/it] {'loss': '3.121', 'grad_norm': '15.26', 'learning_rate': '1.909e-05', 'epoch': '0.1933'} + 60%|█████████████████▉ | 5374/9000 [3:42:18<4:05:34, 4.06s/it] {'lm_loss': '0.2951', 'visual_loss': '2.231', 'seg_loss': '0.4556', 'dino_loss': '0.8617', 'depth_loss': '0.2552', 'vggt_mse_loss': '0.2536', 'vggt_cos_loss': '0.01529', 'pidinet_loss': '0.19', 'siglip_loss': '0.4687', 'epoch': '0.1933'} + 60%|█████████████████▉ | 5374/9000 [3:42:21<4:05:34, 4.06s/it][Dataset] cur_step=5375 phase=C_full_covt[Dataset] cur_step=5375 phase=C_full_covt + +[Dataset] cur_step=5375 phase=C_full_covt + 60%|█████████████████▉ | 5375/9000 [3:42:22<4:05:24, 4.06s/it][Dataset] cur_step=5375 phase=C_full_covt +[Dataset] cur_step=5375 phase=C_full_covt +[Dataset] cur_step=5375 phase=C_full_covt +[Dataset] cur_step=5375 phase=C_full_covt +[Dataset] cur_step=5375 phase=C_full_covt + {'loss': '3.029', 'grad_norm': '1.594', 'learning_rate': '1.909e-05', 'epoch': '0.1934'} + 60%|█████████████████▉ | 5375/9000 [3:42:22<4:05:24, 4.06s/it] {'lm_loss': '0.4593', 'visual_loss': '2.822', 'seg_loss': '0.7642', 'dino_loss': '0.9028', 'depth_loss': '0.3079', 'vggt_mse_loss': '0.3055', 'vggt_cos_loss': '0.02387', 'pidinet_loss': '0.2693', 'siglip_loss': '0.5774', 'epoch': '0.1934'} + 60%|█████████████████▉ | 5375/9000 [3:42:25<4:05:24, 4.06s/it][Dataset] cur_step=5376 phase=C_full_covt +[Dataset] cur_step=5376 phase=C_full_covt +[Dataset] cur_step=5376 phase=C_full_covt +[Dataset] cur_step=5376 phase=C_full_covt 60%|█████████████████▉ | 5376/9000 [3:42:26<4:08:25, 4.11s/it] +[Dataset] cur_step=5376 phase=C_full_covt +[Dataset] cur_step=5376 phase=C_full_covt +[Dataset] cur_step=5376 phase=C_full_covt +[Dataset] cur_step=5376 phase=C_full_covt + {'loss': '3.462', 'grad_norm': '2.035', 'learning_rate': '1.908e-05', 'epoch': '0.1934'} + 60%|█████████████████▉ | 5376/9000 [3:42:26<4:08:25, 4.11s/it] {'lm_loss': '0.1897', 'visual_loss': '2.781', 'seg_loss': '0.6868', 'dino_loss': '0.9102', 'depth_loss': '0.2463', 'vggt_mse_loss': '0.2446', 'vggt_cos_loss': '0.01764', 'pidinet_loss': '0.234', 'siglip_loss': '0.704', 'epoch': '0.1934'} + 60%|█████████████████▉ | 5376/9000 [3:42:30<4:08:25, 4.11s/it][Dataset] cur_step=5377 phase=C_full_covt +[Dataset] cur_step=5377 phase=C_full_covt +[Dataset] cur_step=5377 phase=C_full_covt + 60%|█████████████████▉ | 5377/9000 [3:42:30<4:12:21, 4.18s/it][Dataset] cur_step=5377 phase=C_full_covt +[Dataset] cur_step=5377 phase=C_full_covt +[Dataset] cur_step=5377 phase=C_full_covt +[Dataset] cur_step=5377 phase=C_full_covt +[Dataset] cur_step=5377 phase=C_full_covt + {'loss': '3.068', 'grad_norm': '2.203', 'learning_rate': '1.907e-05', 'epoch': '0.1934'} + 60%|█████████████████▉ | 5377/9000 [3:42:30<4:12:21, 4.18s/it] {'lm_loss': '0.4899', 'visual_loss': '2.756', 'seg_loss': '0.799', 'dino_loss': '0.943', 'depth_loss': '0.2522', 'vggt_mse_loss': '0.2503', 'vggt_cos_loss': '0.01858', 'pidinet_loss': '0.2281', 'siglip_loss': '0.534', 'epoch': '0.1934'} + 60%|█████████████████▉ | 5377/9000 [3:42:34<4:12:21, 4.18s/it][Dataset] cur_step=5378 phase=C_full_covt[Dataset] cur_step=5378 phase=C_full_covt + +[Dataset] cur_step=5378 phase=C_full_covt +[Dataset] cur_step=5378 phase=C_full_covt 60%|█████████████████▉ | 5378/9000 [3:42:34<4:06:09, 4.08s/it] +[Dataset] cur_step=5378 phase=C_full_covt +[Dataset] cur_step=5378 phase=C_full_covt[Dataset] cur_step=5378 phase=C_full_covt + +[Dataset] cur_step=5378 phase=C_full_covt + {'loss': '3.041', 'grad_norm': '1.541', 'learning_rate': '1.906e-05', 'epoch': '0.1935'} + 60%|█████████████████▉ | 5378/9000 [3:42:34<4:06:09, 4.08s/it] {'lm_loss': '0.5469', 'visual_loss': '2.665', 'seg_loss': '0.753', 'dino_loss': '0.9287', 'depth_loss': '0.2539', 'vggt_mse_loss': '0.2522', 'vggt_cos_loss': '0.01683', 'pidinet_loss': '0.2232', 'siglip_loss': '0.5058', 'epoch': '0.1935'} + 60%|█████████████████▉ | 5378/9000 [3:42:37<4:06:09, 4.08s/it][Dataset] cur_step=5379 phase=C_full_covt +[Dataset] cur_step=5379 phase=C_full_covt +[Dataset] cur_step=5379 phase=C_full_covt[Dataset] cur_step=5379 phase=C_full_covt + +[Dataset] cur_step=5379 phase=C_full_covt +[Dataset] cur_step=5379 phase=C_full_covt +[Dataset] cur_step=5379 phase=C_full_covt + 60%|█████████████████▉ | 5379/9000 [3:42:38<4:03:14, 4.03s/it][Dataset] cur_step=5379 phase=C_full_covt + {'loss': '3.159', 'grad_norm': '2.599', 'learning_rate': '1.905e-05', 'epoch': '0.1935'} + 60%|█████████████████▉ | 5379/9000 [3:42:38<4:03:14, 4.03s/it] {'lm_loss': '0.0409', 'visual_loss': '2.902', 'seg_loss': '0.8551', 'dino_loss': '0.9111', 'depth_loss': '0.2692', 'vggt_mse_loss': '0.267', 'vggt_cos_loss': '0.02226', 'pidinet_loss': '0.229', 'siglip_loss': '0.6371', 'epoch': '0.1935'} + 60%|█████████████████▉ | 5379/9000 [3:42:41<4:03:14, 4.03s/it][Dataset] cur_step=5380 phase=C_full_covt +[Dataset] cur_step=5380 phase=C_full_covt +[Dataset] cur_step=5380 phase=C_full_covt +[Dataset] cur_step=5380 phase=C_full_covt +[Dataset] cur_step=5380 phase=C_full_covt +[Dataset] cur_step=5380 phase=C_full_covt +[Dataset] cur_step=5380 phase=C_full_covt +[Dataset] cur_step=5380 phase=C_full_covt + 60%|█████████████████▉ | 5380/9000 [3:42:42<4:04:18, 4.05s/it] {'loss': '3.115', 'grad_norm': '1.892', 'learning_rate': '1.904e-05', 'epoch': '0.1935'} + 60%|█████████████████▉ | 5380/9000 [3:42:42<4:04:18, 4.05s/it] {'lm_loss': '0.5113', 'visual_loss': '2.62', 'seg_loss': '0.7109', 'dino_loss': '0.9289', 'depth_loss': '0.3173', 'vggt_mse_loss': '0.3149', 'vggt_cos_loss': '0.02385', 'pidinet_loss': '0.2398', 'siglip_loss': '0.4233', 'epoch': '0.1935'} + 60%|█████████████████▉ | 5380/9000 [3:42:45<4:04:18, 4.05s/it][Dataset] cur_step=5381 phase=C_full_covt +[Dataset] cur_step=5381 phase=C_full_covt +[Dataset] cur_step=5381 phase=C_full_covt +[Dataset] cur_step=5381 phase=C_full_covt +[Dataset] cur_step=5381 phase=C_full_covt[Dataset] cur_step=5381 phase=C_full_covt + +[Dataset] cur_step=5381 phase=C_full_covt 60%|█████████████████▉ | 5381/9000 [3:42:46<4:03:17, 4.03s/it] +[Dataset] cur_step=5381 phase=C_full_covt + {'loss': '2.915', 'grad_norm': '1.523', 'learning_rate': '1.903e-05', 'epoch': '0.1936'} + 60%|█████████████████▉ | 5381/9000 [3:42:46<4:03:17, 4.03s/it] {'lm_loss': '0.3557', 'visual_loss': '2.708', 'seg_loss': '0.7674', 'dino_loss': '0.9168', 'depth_loss': '0.2603', 'vggt_mse_loss': '0.2582', 'vggt_cos_loss': '0.02109', 'pidinet_loss': '0.2691', 'siglip_loss': '0.4941', 'epoch': '0.1936'} + 60%|█████████████████▉ | 5381/9000 [3:42:50<4:03:17, 4.03s/it][Dataset] cur_step=5382 phase=C_full_covt[Dataset] cur_step=5382 phase=C_full_covt + +[Dataset] cur_step=5382 phase=C_full_covt +[Dataset] cur_step=5382 phase=C_full_covt +[Dataset] cur_step=5382 phase=C_full_covt[Dataset] cur_step=5382 phase=C_full_covt + +[Dataset] cur_step=5382 phase=C_full_covt + 60%|█████████████████▉ | 5382/9000 [3:42:50<4:00:40, 3.99s/it][Dataset] cur_step=5382 phase=C_full_covt + {'loss': '3.173', 'grad_norm': '1.728', 'learning_rate': '1.902e-05', 'epoch': '0.1936'} + 60%|█████████████████▉ | 5382/9000 [3:42:50<4:00:40, 3.99s/it] {'lm_loss': '0.5464', 'visual_loss': '2.637', 'seg_loss': '0.674', 'dino_loss': '0.9221', 'depth_loss': '0.217', 'vggt_mse_loss': '0.2154', 'vggt_cos_loss': '0.01642', 'pidinet_loss': '0.2695', 'siglip_loss': '0.5543', 'epoch': '0.1936'} + 60%|█████████████████▉ | 5382/9000 [3:42:53<4:00:40, 3.99s/it][Dataset] cur_step=5383 phase=C_full_covt +[Dataset] cur_step=5383 phase=C_full_covt +[Dataset] cur_step=5383 phase=C_full_covt[Dataset] cur_step=5383 phase=C_full_covt + +[Dataset] cur_step=5383 phase=C_full_covt +[Dataset] cur_step=5383 phase=C_full_covt +[Dataset] cur_step=5383 phase=C_full_covt +[Dataset] cur_step=5383 phase=C_full_covt + 60%|█████████████████▉ | 5383/9000 [3:42:54<4:05:47, 4.08s/it] {'loss': '3.202', 'grad_norm': '2.572', 'learning_rate': '1.901e-05', 'epoch': '0.1937'} + 60%|█████████████████▉ | 5383/9000 [3:42:54<4:05:47, 4.08s/it] {'lm_loss': '0.4298', 'visual_loss': '2.519', 'seg_loss': '0.7712', 'dino_loss': '0.8926', 'depth_loss': '0.2222', 'vggt_mse_loss': '0.221', 'vggt_cos_loss': '0.01239', 'pidinet_loss': '0.2695', 'siglip_loss': '0.3632', 'epoch': '0.1937'} + 60%|█████████████████▉ | 5383/9000 [3:42:57<4:05:47, 4.08s/it][Dataset] cur_step=5384 phase=C_full_covt +[Dataset] cur_step=5384 phase=C_full_covt +[Dataset] cur_step=5384 phase=C_full_covt[Dataset] cur_step=5384 phase=C_full_covt + +[Dataset] cur_step=5384 phase=C_full_covt +[Dataset] cur_step=5384 phase=C_full_covt[Dataset] cur_step=5384 phase=C_full_covt + + 60%|█████████████████▉ | 5384/9000 [3:42:59<4:08:37, 4.13s/it][Dataset] cur_step=5384 phase=C_full_covt + {'loss': '3.148', 'grad_norm': '2.045', 'learning_rate': '1.901e-05', 'epoch': '0.1937'} + 60%|█████████████████▉ | 5384/9000 [3:42:59<4:08:37, 4.13s/it] {'lm_loss': '0.3445', 'visual_loss': '2.512', 'seg_loss': '0.671', 'dino_loss': '0.9139', 'depth_loss': '0.2418', 'vggt_mse_loss': '0.2405', 'vggt_cos_loss': '0.01247', 'pidinet_loss': '0.2183', 'siglip_loss': '0.4671', 'epoch': '0.1937'} + 60%|█████████████████▉ | 5384/9000 [3:43:02<4:08:37, 4.13s/it][Dataset] cur_step=5385 phase=C_full_covt +[Dataset] cur_step=5385 phase=C_full_covt +[Dataset] cur_step=5385 phase=C_full_covt[Dataset] cur_step=5385 phase=C_full_covt + +[Dataset] cur_step=5385 phase=C_full_covt +[Dataset] cur_step=5385 phase=C_full_covt + 60%|█████████████████▉ | 5385/9000 [3:43:03<4:04:38, 4.06s/it][Dataset] cur_step=5385 phase=C_full_covt +[Dataset] cur_step=5385 phase=C_full_covt + {'loss': '3.15', 'grad_norm': '2.801', 'learning_rate': '1.9e-05', 'epoch': '0.1937'} + 60%|█████████████████▉ | 5385/9000 [3:43:03<4:04:38, 4.06s/it] {'lm_loss': '0.4867', 'visual_loss': '2.549', 'seg_loss': '0.7341', 'dino_loss': '0.9046', 'depth_loss': '0.2632', 'vggt_mse_loss': '0.2617', 'vggt_cos_loss': '0.01532', 'pidinet_loss': '0.2025', 'siglip_loss': '0.4442', 'epoch': '0.1937'} + 60%|█████████████████▉ | 5385/9000 [3:43:06<4:04:38, 4.06s/it][Dataset] cur_step=5386 phase=C_full_covt[Dataset] cur_step=5386 phase=C_full_covt + +[Dataset] cur_step=5386 phase=C_full_covt +[Dataset] cur_step=5386 phase=C_full_covt[Dataset] cur_step=5386 phase=C_full_covt[Dataset] cur_step=5386 phase=C_full_covt + + +[Dataset] cur_step=5386 phase=C_full_covt +[Dataset] cur_step=5386 phase=C_full_covt + 60%|█████████████████▉ | 5386/9000 [3:43:07<4:03:28, 4.04s/it] {'loss': '3.452', 'grad_norm': '2.874', 'learning_rate': '1.899e-05', 'epoch': '0.1938'} + 60%|█████████████████▉ | 5386/9000 [3:43:07<4:03:28, 4.04s/it] {'lm_loss': '0.07382', 'visual_loss': '2.736', 'seg_loss': '0.7665', 'dino_loss': '0.9166', 'depth_loss': '0.241', 'vggt_mse_loss': '0.2391', 'vggt_cos_loss': '0.01859', 'pidinet_loss': '0.2363', 'siglip_loss': '0.5755', 'epoch': '0.1938'} + 60%|█████████████████▉ | 5386/9000 [3:43:10<4:03:28, 4.04s/it][Dataset] cur_step=5387 phase=C_full_covt +[Dataset] cur_step=5387 phase=C_full_covt +[Dataset] cur_step=5387 phase=C_full_covt[Dataset] cur_step=5387 phase=C_full_covt +[Dataset] cur_step=5387 phase=C_full_covt + + 60%|█████████████████▉ | 5387/9000 [3:43:10<3:58:14, 3.96s/it][Dataset] cur_step=5387 phase=C_full_covt +[Dataset] cur_step=5387 phase=C_full_covt +[Dataset] cur_step=5387 phase=C_full_covt + {'loss': '3.07', 'grad_norm': '2.151', 'learning_rate': '1.898e-05', 'epoch': '0.1938'} + 60%|█████████████████▉ | 5387/9000 [3:43:10<3:58:14, 3.96s/it] {'lm_loss': '0.3194', 'visual_loss': '2.616', 'seg_loss': '0.6212', 'dino_loss': '0.8913', 'depth_loss': '0.2465', 'vggt_mse_loss': '0.2446', 'vggt_cos_loss': '0.01901', 'pidinet_loss': '0.2837', 'siglip_loss': '0.5733', 'epoch': '0.1938'} + 60%|█████████████████▉ | 5387/9000 [3:43:13<3:58:14, 3.96s/it][Dataset] cur_step=5388 phase=C_full_covt +[Dataset] cur_step=5388 phase=C_full_covt[Dataset] cur_step=5388 phase=C_full_covt + +[Dataset] cur_step=5388 phase=C_full_covt +[Dataset] cur_step=5388 phase=C_full_covt +[Dataset] cur_step=5388 phase=C_full_covt +[Dataset] cur_step=5388 phase=C_full_covt +[Dataset] cur_step=5388 phase=C_full_covt 60%|█████████████████▉ | 5388/9000 [3:43:16<4:36:07, 4.59s/it] + {'loss': '3.173', 'grad_norm': '2.452', 'learning_rate': '1.897e-05', 'epoch': '0.1938'} + 60%|█████████████████▉ | 5388/9000 [3:43:16<4:36:07, 4.59s/it] {'lm_loss': '0.8696', 'visual_loss': '2.731', 'seg_loss': '0.7207', 'dino_loss': '0.8974', 'depth_loss': '0.1857', 'vggt_mse_loss': '0.1847', 'vggt_cos_loss': '0.01029', 'pidinet_loss': '0.245', 'siglip_loss': '0.682', 'epoch': '0.1938'} + 60%|█████████████████▉ | 5388/9000 [3:43:20<4:36:07, 4.59s/it][Dataset] cur_step=5389 phase=C_full_covt +[Dataset] cur_step=5389 phase=C_full_covt +[Dataset] cur_step=5389 phase=C_full_covt[Dataset] cur_step=5389 phase=C_full_covt + +[Dataset] cur_step=5389 phase=C_full_covt + 60%|█████████████████▉ | 5389/9000 [3:43:20<4:22:51, 4.37s/it][Dataset] cur_step=5389 phase=C_full_covt +[Dataset] cur_step=5389 phase=C_full_covt +[Dataset] cur_step=5389 phase=C_full_covt + {'loss': '3.224', 'grad_norm': '1.796', 'learning_rate': '1.896e-05', 'epoch': '0.1939'} + 60%|█████████████████▉ | 5389/9000 [3:43:20<4:22:51, 4.37s/it] {'lm_loss': '0.6865', 'visual_loss': '2.632', 'seg_loss': '0.7566', 'dino_loss': '0.8942', 'depth_loss': '0.1871', 'vggt_mse_loss': '0.186', 'vggt_cos_loss': '0.01119', 'pidinet_loss': '0.204', 'siglip_loss': '0.5898', 'epoch': '0.1939'} + 60%|█████████████████▉ | 5389/9000 [3:43:23<4:22:51, 4.37s/it][Dataset] cur_step=5390 phase=C_full_covt +[Dataset] cur_step=5390 phase=C_full_covt[Dataset] cur_step=5390 phase=C_full_covt +[Dataset] cur_step=5390 phase=C_full_covt + +[Dataset] cur_step=5390 phase=C_full_covt +[Dataset] cur_step=5390 phase=C_full_covt + 60%|█████████████████▉ | 5390/9000 [3:43:27<5:02:55, 5.03s/it][Dataset] cur_step=5390 phase=C_full_covt +[Dataset] cur_step=5390 phase=C_full_covt + {'loss': '3.164', 'grad_norm': '2.056', 'learning_rate': '1.895e-05', 'epoch': '0.1939'} + 60%|█████████████████▉ | 5390/9000 [3:43:27<5:02:55, 5.03s/it] {'lm_loss': '0.2365', 'visual_loss': '2.351', 'seg_loss': '0.6498', 'dino_loss': '0.8882', 'depth_loss': '0.2353', 'vggt_mse_loss': '0.2339', 'vggt_cos_loss': '0.01379', 'pidinet_loss': '0.1497', 'siglip_loss': '0.428', 'epoch': '0.1939'} + 60%|█████████████████▉ | 5390/9000 [3:43:30<5:02:55, 5.03s/it][Dataset] cur_step=5391 phase=C_full_covt[Dataset] cur_step=5391 phase=C_full_covt[Dataset] cur_step=5391 phase=C_full_covt + + +[Dataset] cur_step=5391 phase=C_full_covt[Dataset] cur_step=5391 phase=C_full_covt 60%|█████████████████▉ | 5391/9000 [3:43:31<4:42:54, 4.70s/it] + +[Dataset] cur_step=5391 phase=C_full_covt +[Dataset] cur_step=5391 phase=C_full_covt +[Dataset] cur_step=5391 phase=C_full_covt + {'loss': '3.08', 'grad_norm': '2.092', 'learning_rate': '1.894e-05', 'epoch': '0.1939'} + 60%|█████████████████▉ | 5391/9000 [3:43:31<4:42:54, 4.70s/it] {'lm_loss': '0.3821', 'visual_loss': '2.317', 'seg_loss': '0.5625', 'dino_loss': '0.8856', 'depth_loss': '0.2276', 'vggt_mse_loss': '0.2262', 'vggt_cos_loss': '0.01409', 'pidinet_loss': '0.12', 'siglip_loss': '0.5213', 'epoch': '0.1939'} + 60%|█████████████████▉ | 5391/9000 [3:43:35<4:42:54, 4.70s/it][Dataset] cur_step=5392 phase=C_full_covt +[Dataset] cur_step=5392 phase=C_full_covt + 60%|█████████████████▉ | 5392/9000 [3:43:35<4:33:04, 4.54s/it][Dataset] cur_step=5392 phase=C_full_covt +[Dataset] cur_step=5392 phase=C_full_covt +[Dataset] cur_step=5392 phase=C_full_covt +[Dataset] cur_step=5392 phase=C_full_covt +[Dataset] cur_step=5392 phase=C_full_covt +[Dataset] cur_step=5392 phase=C_full_covt + {'loss': '3.205', 'grad_norm': '2.491', 'learning_rate': '1.893e-05', 'epoch': '0.194'} + 60%|█████████████████▉ | 5392/9000 [3:43:35<4:33:04, 4.54s/it] {'lm_loss': '0.3438', 'visual_loss': '2.788', 'seg_loss': '0.7278', 'dino_loss': '0.9148', 'depth_loss': '0.2129', 'vggt_mse_loss': '0.2115', 'vggt_cos_loss': '0.01372', 'pidinet_loss': '0.2401', 'siglip_loss': '0.6928', 'epoch': '0.194'} + 60%|█████████████████▉ | 5392/9000 [3:43:38<4:33:04, 4.54s/it][Dataset] cur_step=5393 phase=C_full_covt +[Dataset] cur_step=5393 phase=C_full_covt + 60%|█████████████████▉ | 5393/9000 [3:43:39<4:19:34, 4.32s/it][Dataset] cur_step=5393 phase=C_full_covt +[Dataset] cur_step=5393 phase=C_full_covt[Dataset] cur_step=5393 phase=C_full_covt + +[Dataset] cur_step=5393 phase=C_full_covt +[Dataset] cur_step=5393 phase=C_full_covt +[Dataset] cur_step=5393 phase=C_full_covt + {'loss': '3.265', 'grad_norm': '1.42', 'learning_rate': '1.893e-05', 'epoch': '0.194'} + 60%|█████████████████▉ | 5393/9000 [3:43:39<4:19:34, 4.32s/it] {'lm_loss': '0.0007799', 'visual_loss': '2.718', 'seg_loss': '0.7478', 'dino_loss': '0.9301', 'depth_loss': '0.2264', 'vggt_mse_loss': '0.2247', 'vggt_cos_loss': '0.01689', 'pidinet_loss': '0.2647', 'siglip_loss': '0.5494', 'epoch': '0.194'} + 60%|█████████████████▉ | 5393/9000 [3:43:42<4:19:34, 4.32s/it][Dataset] cur_step=5394 phase=C_full_covt +[Dataset] cur_step=5394 phase=C_full_covt +[Dataset] cur_step=5394 phase=C_full_covt +[Dataset] cur_step=5394 phase=C_full_covt[Dataset] cur_step=5394 phase=C_full_covt +[Dataset] cur_step=5394 phase=C_full_covt + + 60%|█████████████████▉ | 5394/9000 [3:43:45<4:54:35, 4.90s/it][Dataset] cur_step=5394 phase=C_full_covt +[Dataset] cur_step=5394 phase=C_full_covt + {'loss': '3.159', 'grad_norm': '5.849', 'learning_rate': '1.892e-05', 'epoch': '0.194'} + 60%|█████████████████▉ | 5394/9000 [3:43:45<4:54:35, 4.90s/it] {'lm_loss': '0.4318', 'visual_loss': '2.581', 'seg_loss': '0.6726', 'dino_loss': '0.8975', 'depth_loss': '0.2334', 'vggt_mse_loss': '0.2317', 'vggt_cos_loss': '0.01717', 'pidinet_loss': '0.2359', 'siglip_loss': '0.5414', 'epoch': '0.194'} + 60%|█████████████████▉ | 5394/9000 [3:43:49<4:54:35, 4.90s/it][Dataset] cur_step=5395 phase=C_full_covt +[Dataset] cur_step=5395 phase=C_full_covt[Dataset] cur_step=5395 phase=C_full_covt[Dataset] cur_step=5395 phase=C_full_covt + + +[Dataset] cur_step=5395 phase=C_full_covt[Dataset] cur_step=5395 phase=C_full_covt + +[Dataset] cur_step=5395 phase=C_full_covt +[Dataset] cur_step=5395 phase=C_full_covt + 60%|█████████████████▉ | 5395/9000 [3:43:49<4:44:37, 4.74s/it] {'loss': '3.013', 'grad_norm': '2.014', 'learning_rate': '1.891e-05', 'epoch': '0.1941'} + 60%|█████████████████▉ | 5395/9000 [3:43:49<4:44:37, 4.74s/it] {'lm_loss': '0.006736', 'visual_loss': '2.656', 'seg_loss': '0.7511', 'dino_loss': '0.9392', 'depth_loss': '0.2033', 'vggt_mse_loss': '0.2019', 'vggt_cos_loss': '0.01422', 'pidinet_loss': '0.2449', 'siglip_loss': '0.517', 'epoch': '0.1941'} + 60%|█████████████████▉ | 5395/9000 [3:43:53<4:44:37, 4.74s/it][Dataset] cur_step=5396 phase=C_full_covt[Dataset] cur_step=5396 phase=C_full_covt + +[Dataset] cur_step=5396 phase=C_full_covt[Dataset] cur_step=5396 phase=C_full_covt + +[Dataset] cur_step=5396 phase=C_full_covt +[Dataset] cur_step=5396 phase=C_full_covt + 60%|█████████████████▉ | 5396/9000 [3:43:53<4:31:52, 4.53s/it][Dataset] cur_step=5396 phase=C_full_covt +[Dataset] cur_step=5396 phase=C_full_covt + {'loss': '3.011', 'grad_norm': '1.57', 'learning_rate': '1.89e-05', 'epoch': '0.1941'} + 60%|█████████████████▉ | 5396/9000 [3:43:53<4:31:52, 4.53s/it] {'lm_loss': '0.5857', 'visual_loss': '2.634', 'seg_loss': '0.6682', 'dino_loss': '0.912', 'depth_loss': '0.2211', 'vggt_mse_loss': '0.2196', 'vggt_cos_loss': '0.01557', 'pidinet_loss': '0.2493', 'siglip_loss': '0.5836', 'epoch': '0.1941'} + 60%|█████████████████▉ | 5396/9000 [3:43:57<4:31:52, 4.53s/it][Dataset] cur_step=5397 phase=C_full_covt[Dataset] cur_step=5397 phase=C_full_covt + +[Dataset] cur_step=5397 phase=C_full_covt +[Dataset] cur_step=5397 phase=C_full_covt[Dataset] cur_step=5397 phase=C_full_covt + +[Dataset] cur_step=5397 phase=C_full_covt + 60%|█████████████████▉ | 5397/9000 [3:43:57<4:18:26, 4.30s/it][Dataset] cur_step=5397 phase=C_full_covt +[Dataset] cur_step=5397 phase=C_full_covt + {'loss': '3.4', 'grad_norm': '32.42', 'learning_rate': '1.889e-05', 'epoch': '0.1942'} + 60%|█████████████████▉ | 5397/9000 [3:43:57<4:18:26, 4.30s/it] {'lm_loss': '0.4156', 'visual_loss': '2.607', 'seg_loss': '0.7383', 'dino_loss': '0.9184', 'depth_loss': '0.2219', 'vggt_mse_loss': '0.2204', 'vggt_cos_loss': '0.01504', 'pidinet_loss': '0.2577', 'siglip_loss': '0.4707', 'epoch': '0.1942'} + 60%|█████████████████▉ | 5397/9000 [3:44:01<4:18:26, 4.30s/it][Dataset] cur_step=5398 phase=C_full_covt +[Dataset] cur_step=5398 phase=C_full_covt + 60%|█████████████████▉ | 5398/9000 [3:44:03<4:49:32, 4.82s/it][Dataset] cur_step=5398 phase=C_full_covt +[Dataset] cur_step=5398 phase=C_full_covt[Dataset] cur_step=5398 phase=C_full_covt + +[Dataset] cur_step=5398 phase=C_full_covt +[Dataset] cur_step=5398 phase=C_full_covt +[Dataset] cur_step=5398 phase=C_full_covt + {'loss': '3.304', 'grad_norm': '3.574', 'learning_rate': '1.888e-05', 'epoch': '0.1942'} + 60%|█████████████████▉ | 5398/9000 [3:44:03<4:49:32, 4.82s/it] {'lm_loss': '0.8883', 'visual_loss': '2.798', 'seg_loss': '0.7347', 'dino_loss': '0.9176', 'depth_loss': '0.3667', 'vggt_mse_loss': '0.3635', 'vggt_cos_loss': '0.03174', 'pidinet_loss': '0.2582', 'siglip_loss': '0.521', 'epoch': '0.1942'} + 60%|█████████████████▉ | 5398/9000 [3:44:06<4:49:32, 4.82s/it][Dataset] cur_step=5399 phase=C_full_covt +[Dataset] cur_step=5399 phase=C_full_covt +[Dataset] cur_step=5399 phase=C_full_covt[Dataset] cur_step=5399 phase=C_full_covt + +[Dataset] cur_step=5399 phase=C_full_covt + 60%|█████████████████▉ | 5399/9000 [3:44:07<4:36:50, 4.61s/it][Dataset] cur_step=5399 phase=C_full_covt[Dataset] cur_step=5399 phase=C_full_covt + +[Dataset] cur_step=5399 phase=C_full_covt + {'loss': '3.343', 'grad_norm': '2.633', 'learning_rate': '1.887e-05', 'epoch': '0.1942'} + 60%|█████████████████▉ | 5399/9000 [3:44:07<4:36:50, 4.61s/it] {'lm_loss': '0.1549', 'visual_loss': '2.397', 'seg_loss': '0.65', 'dino_loss': '0.9193', 'depth_loss': '0.2199', 'vggt_mse_loss': '0.2185', 'vggt_cos_loss': '0.01343', 'pidinet_loss': '0.2038', 'siglip_loss': '0.404', 'epoch': '0.1942'} + 60%|█████████████████▉ | 5399/9000 [3:44:11<4:36:50, 4.61s/it][Dataset] cur_step=5400 phase=C_full_covt +[Dataset] cur_step=5400 phase=C_full_covt +[Dataset] cur_step=5400 phase=C_full_covt[Dataset] cur_step=5400 phase=C_full_covt + + 60%|██████████████████ | 5400/9000 [3:44:14<5:07:15, 5.12s/it][Dataset] cur_step=5400 phase=C_full_covt +[Dataset] cur_step=5400 phase=C_full_covt +[Dataset] cur_step=5400 phase=C_full_covt +[Dataset] cur_step=5400 phase=C_full_covt + {'loss': '2.967', 'grad_norm': '3.857', 'learning_rate': '1.886e-05', 'epoch': '0.1943'} + 60%|██████████████████ | 5400/9000 [3:44:14<5:07:15, 5.12s/it] {'lm_loss': '0.4258', 'visual_loss': '2.846', 'seg_loss': '0.7879', 'dino_loss': '0.9187', 'depth_loss': '0.3205', 'vggt_mse_loss': '0.3176', 'vggt_cos_loss': '0.02906', 'pidinet_loss': '0.2339', 'siglip_loss': '0.5846', 'epoch': '0.1943'} + 60%|██████████████████ | 5400/9000 [3:44:19<5:07:15, 5.12s/it][Dataset] cur_step=5401 phase=C_full_covt +[Dataset] cur_step=5401 phase=C_full_covt + 60%|██████████████████ | 5401/9000 [3:44:20<5:24:15, 5.41s/it][Dataset] cur_step=5401 phase=C_full_covt +[Dataset] cur_step=5401 phase=C_full_covt +[Dataset] cur_step=5401 phase=C_full_covt +[Dataset] cur_step=5401 phase=C_full_covt[Dataset] cur_step=5401 phase=C_full_covt + +[Dataset] cur_step=5401 phase=C_full_covt + {'loss': '3.352', 'grad_norm': '8.678', 'learning_rate': '1.885e-05', 'epoch': '0.1943'} + 60%|██████████████████ | 5401/9000 [3:44:20<5:24:15, 5.41s/it] {'lm_loss': '0.009128', 'visual_loss': '2.723', 'seg_loss': '0.7268', 'dino_loss': '0.8967', 'depth_loss': '0.2896', 'vggt_mse_loss': '0.2876', 'vggt_cos_loss': '0.01984', 'pidinet_loss': '0.2407', 'siglip_loss': '0.5691', 'epoch': '0.1943'} + 60%|██████████████████ | 5401/9000 [3:44:23<5:24:15, 5.41s/it][Dataset] cur_step=5402 phase=C_full_covt +[Dataset] cur_step=5402 phase=C_full_covt +[Dataset] cur_step=5402 phase=C_full_covt[Dataset] cur_step=5402 phase=C_full_covt + + 60%|██████████████████ | 5402/9000 [3:44:24<4:58:34, 4.98s/it][Dataset] cur_step=5402 phase=C_full_covt[Dataset] cur_step=5402 phase=C_full_covt +[Dataset] cur_step=5402 phase=C_full_covt + +[Dataset] cur_step=5402 phase=C_full_covt + {'loss': '3.095', 'grad_norm': '3.79', 'learning_rate': '1.885e-05', 'epoch': '0.1943'} + 60%|██████████████████ | 5402/9000 [3:44:24<4:58:34, 4.98s/it] {'lm_loss': '0.3262', 'visual_loss': '2.504', 'seg_loss': '0.6526', 'dino_loss': '0.8892', 'depth_loss': '0.2257', 'vggt_mse_loss': '0.2243', 'vggt_cos_loss': '0.01421', 'pidinet_loss': '0.2163', 'siglip_loss': '0.5201', 'epoch': '0.1943'} + 60%|██████████████████ | 5402/9000 [3:44:27<4:58:34, 4.98s/it][Dataset] cur_step=5403 phase=C_full_covt +[Dataset] cur_step=5403 phase=C_full_covt[Dataset] cur_step=5403 phase=C_full_covt + +[Dataset] cur_step=5403 phase=C_full_covt[Dataset] cur_step=5403 phase=C_full_covt + + 60%|██████████████████ | 5403/9000 [3:44:28<4:39:10, 4.66s/it][Dataset] cur_step=5403 phase=C_full_covt +[Dataset] cur_step=5403 phase=C_full_covt +[Dataset] cur_step=5403 phase=C_full_covt + {'loss': '3.138', 'grad_norm': '1.89', 'learning_rate': '1.884e-05', 'epoch': '0.1944'} + 60%|██████████████████ | 5403/9000 [3:44:28<4:39:10, 4.66s/it] {'lm_loss': '0.02007', 'visual_loss': '2.813', 'seg_loss': '0.7146', 'dino_loss': '0.9376', 'depth_loss': '0.2144', 'vggt_mse_loss': '0.2128', 'vggt_cos_loss': '0.01586', 'pidinet_loss': '0.2678', 'siglip_loss': '0.6788', 'epoch': '0.1944'} + 60%|██████████████████ | 5403/9000 [3:44:31<4:39:10, 4.66s/it][Dataset] cur_step=5404 phase=C_full_covt[Dataset] cur_step=5404 phase=C_full_covt + +[Dataset] cur_step=5404 phase=C_full_covt[Dataset] cur_step=5404 phase=C_full_covt + +[Dataset] cur_step=5404 phase=C_full_covt +[Dataset] cur_step=5404 phase=C_full_covt[Dataset] cur_step=5404 phase=C_full_covt + +[Dataset] cur_step=5404 phase=C_full_covt + 60%|██████████████████ | 5404/9000 [3:44:32<4:25:33, 4.43s/it] {'loss': '3.136', 'grad_norm': '2.568', 'learning_rate': '1.883e-05', 'epoch': '0.1944'} + 60%|██████████████████ | 5404/9000 [3:44:32<4:25:33, 4.43s/it] {'lm_loss': '0.03864', 'visual_loss': '2.415', 'seg_loss': '0.6459', 'dino_loss': '0.8954', 'depth_loss': '0.2661', 'vggt_mse_loss': '0.2641', 'vggt_cos_loss': '0.01981', 'pidinet_loss': '0.1981', 'siglip_loss': '0.4091', 'epoch': '0.1944'} + 60%|██████████████████ | 5404/9000 [3:44:35<4:25:33, 4.43s/it][Dataset] cur_step=5405 phase=C_full_covt[Dataset] cur_step=5405 phase=C_full_covt[Dataset] cur_step=5405 phase=C_full_covt + + +[Dataset] cur_step=5405 phase=C_full_covt[Dataset] cur_step=5405 phase=C_full_covt[Dataset] cur_step=5405 phase=C_full_covt + + + 60%|██████████████████ | 5405/9000 [3:44:35<4:15:54, 4.27s/it][Dataset] cur_step=5405 phase=C_full_covt +[Dataset] cur_step=5405 phase=C_full_covt + {'loss': '3.028', 'grad_norm': '2.047', 'learning_rate': '1.882e-05', 'epoch': '0.1944'} + 60%|██████████████████ | 5405/9000 [3:44:35<4:15:54, 4.27s/it] {'lm_loss': '0.3538', 'visual_loss': '2.814', 'seg_loss': '0.859', 'dino_loss': '0.9255', 'depth_loss': '0.2714', 'vggt_mse_loss': '0.2693', 'vggt_cos_loss': '0.02043', 'pidinet_loss': '0.2365', 'siglip_loss': '0.5212', 'epoch': '0.1944'} + 60%|██████████████████ | 5405/9000 [3:44:38<4:15:54, 4.27s/it][Dataset] cur_step=5406 phase=C_full_covt +[Dataset] cur_step=5406 phase=C_full_covt[Dataset] cur_step=5406 phase=C_full_covt[Dataset] cur_step=5406 phase=C_full_covt + + +[Dataset] cur_step=5406 phase=C_full_covt +[Dataset] cur_step=5406 phase=C_full_covt +[Dataset] cur_step=5406 phase=C_full_covt 60%|██████████████████ | 5406/9000 [3:44:39<4:12:07, 4.21s/it][Dataset] cur_step=5406 phase=C_full_covt + + {'loss': '3.045', 'grad_norm': '2.835', 'learning_rate': '1.881e-05', 'epoch': '0.1945'} + 60%|██████████████████ | 5406/9000 [3:44:39<4:12:07, 4.21s/it] {'lm_loss': '0.902', 'visual_loss': '2.833', 'seg_loss': '0.7501', 'dino_loss': '0.9161', 'depth_loss': '0.3435', 'vggt_mse_loss': '0.3405', 'vggt_cos_loss': '0.03053', 'pidinet_loss': '0.287', 'siglip_loss': '0.5361', 'epoch': '0.1945'} + 60%|██████████████████ | 5406/9000 [3:44:43<4:12:07, 4.21s/it][Dataset] cur_step=5407 phase=C_full_covt[Dataset] cur_step=5407 phase=C_full_covt + +[Dataset] cur_step=5407 phase=C_full_covt[Dataset] cur_step=5407 phase=C_full_covt + + 60%|██████████████████ | 5407/9000 [3:44:43<4:08:26, 4.15s/it][Dataset] cur_step=5407 phase=C_full_covt +[Dataset] cur_step=5407 phase=C_full_covt[Dataset] cur_step=5407 phase=C_full_covt[Dataset] cur_step=5407 phase=C_full_covt + + + {'loss': '3.517', 'grad_norm': '4.766', 'learning_rate': '1.88e-05', 'epoch': '0.1945'} + 60%|██████████████████ | 5407/9000 [3:44:43<4:08:26, 4.15s/it] {'lm_loss': '0.3906', 'visual_loss': '2.681', 'seg_loss': '0.6944', 'dino_loss': '0.9291', 'depth_loss': '0.2588', 'vggt_mse_loss': '0.2567', 'vggt_cos_loss': '0.02118', 'pidinet_loss': '0.269', 'siglip_loss': '0.5297', 'epoch': '0.1945'} + 60%|██████████████████ | 5407/9000 [3:44:47<4:08:26, 4.15s/it][Dataset] cur_step=5408 phase=C_full_covt +[Dataset] cur_step=5408 phase=C_full_covt +[Dataset] cur_step=5408 phase=C_full_covt + 60%|██████████████████ | 5408/9000 [3:44:50<4:45:31, 4.77s/it][Dataset] cur_step=5408 phase=C_full_covt +[Dataset] cur_step=5408 phase=C_full_covt +[Dataset] cur_step=5408 phase=C_full_covt +[Dataset] cur_step=5408 phase=C_full_covt +[Dataset] cur_step=5408 phase=C_full_covt + {'loss': '3.327', 'grad_norm': '2.554', 'learning_rate': '1.879e-05', 'epoch': '0.1946'} + 60%|██████████████████ | 5408/9000 [3:44:50<4:45:31, 4.77s/it] {'lm_loss': '0.4523', 'visual_loss': '2.591', 'seg_loss': '0.7251', 'dino_loss': '0.9132', 'depth_loss': '0.209', 'vggt_mse_loss': '0.2074', 'vggt_cos_loss': '0.01566', 'pidinet_loss': '0.2726', 'siglip_loss': '0.4714', 'epoch': '0.1946'} + 60%|██████████████████ | 5408/9000 [3:44:53<4:45:31, 4.77s/it][Dataset] cur_step=5409 phase=C_full_covt +[Dataset] cur_step=5409 phase=C_full_covt +[Dataset] cur_step=5409 phase=C_full_covt + 60%|██████████████████ | 5409/9000 [3:44:54<4:31:15, 4.53s/it][Dataset] cur_step=5409 phase=C_full_covt +[Dataset] cur_step=5409 phase=C_full_covt[Dataset] cur_step=5409 phase=C_full_covt + +[Dataset] cur_step=5409 phase=C_full_covt +[Dataset] cur_step=5409 phase=C_full_covt + {'loss': '2.895', 'grad_norm': '3.028', 'learning_rate': '1.878e-05', 'epoch': '0.1946'} + 60%|██████████████████ | 5409/9000 [3:44:54<4:31:15, 4.53s/it] {'lm_loss': '0.3022', 'visual_loss': '2.542', 'seg_loss': '0.7465', 'dino_loss': '0.8993', 'depth_loss': '0.2354', 'vggt_mse_loss': '0.2342', 'vggt_cos_loss': '0.01266', 'pidinet_loss': '0.185', 'siglip_loss': '0.4762', 'epoch': '0.1946'} + 60%|██████████████████ | 5409/9000 [3:44:57<4:31:15, 4.53s/it][Dataset] cur_step=5410 phase=C_full_covt +[Dataset] cur_step=5410 phase=C_full_covt +[Dataset] cur_step=5410 phase=C_full_covt 60%|██████████████████ | 5410/9000 [3:44:57<4:18:03, 4.31s/it] +[Dataset] cur_step=5410 phase=C_full_covt +[Dataset] cur_step=5410 phase=C_full_covt[Dataset] cur_step=5410 phase=C_full_covt + +[Dataset] cur_step=5410 phase=C_full_covt +[Dataset] cur_step=5410 phase=C_full_covt + {'loss': '3.26', 'grad_norm': '1.695', 'learning_rate': '1.877e-05', 'epoch': '0.1946'} + 60%|██████████████████ | 5410/9000 [3:44:57<4:18:03, 4.31s/it] {'lm_loss': '0.01266', 'visual_loss': '2.533', 'seg_loss': '0.7142', 'dino_loss': '0.9007', 'depth_loss': '0.2272', 'vggt_mse_loss': '0.2258', 'vggt_cos_loss': '0.01377', 'pidinet_loss': '0.2011', 'siglip_loss': '0.4901', 'epoch': '0.1946'} + 60%|██████████████████ | 5410/9000 [3:45:01<4:18:03, 4.31s/it][Dataset] cur_step=5411 phase=C_full_covt +[Dataset] cur_step=5411 phase=C_full_covt +[Dataset] cur_step=5411 phase=C_full_covt[Dataset] cur_step=5411 phase=C_full_covt + +[Dataset] cur_step=5411 phase=C_full_covt + 60%|██████████████████ | 5411/9000 [3:45:01<4:09:09, 4.17s/it][Dataset] cur_step=5411 phase=C_full_covt +[Dataset] cur_step=5411 phase=C_full_covt +[Dataset] cur_step=5411 phase=C_full_covt + {'loss': '3.223', 'grad_norm': '1.799', 'learning_rate': '1.876e-05', 'epoch': '0.1947'} + 60%|██████████████████ | 5411/9000 [3:45:01<4:09:09, 4.17s/it] {'lm_loss': '0.5426', 'visual_loss': '2.649', 'seg_loss': '0.7876', 'dino_loss': '0.92', 'depth_loss': '0.1844', 'vggt_mse_loss': '0.1831', 'vggt_cos_loss': '0.01325', 'pidinet_loss': '0.2578', 'siglip_loss': '0.4992', 'epoch': '0.1947'} + 60%|██████████████████ | 5411/9000 [3:45:04<4:09:09, 4.17s/it][Dataset] cur_step=5412 phase=C_full_covt +[Dataset] cur_step=5412 phase=C_full_covt +[Dataset] cur_step=5412 phase=C_full_covt +[Dataset] cur_step=5412 phase=C_full_covt +[Dataset] cur_step=5412 phase=C_full_covt +[Dataset] cur_step=5412 phase=C_full_covt + 60%|██████████████████ | 5412/9000 [3:45:05<4:04:37, 4.09s/it][Dataset] cur_step=5412 phase=C_full_covt +[Dataset] cur_step=5412 phase=C_full_covt + {'loss': '3.062', 'grad_norm': '2.932', 'learning_rate': '1.876e-05', 'epoch': '0.1947'} + 60%|██████████████████ | 5412/9000 [3:45:05<4:04:37, 4.09s/it] {'lm_loss': '0.3426', 'visual_loss': '2.73', 'seg_loss': '0.7511', 'dino_loss': '0.9398', 'depth_loss': '0.2443', 'vggt_mse_loss': '0.2426', 'vggt_cos_loss': '0.01616', 'pidinet_loss': '0.2538', 'siglip_loss': '0.5408', 'epoch': '0.1947'} + 60%|██████████████████ | 5412/9000 [3:45:08<4:04:37, 4.09s/it][Dataset] cur_step=5413 phase=C_full_covt +[Dataset] cur_step=5413 phase=C_full_covt +[Dataset] cur_step=5413 phase=C_full_covt +[Dataset] cur_step=5413 phase=C_full_covt +[Dataset] cur_step=5413 phase=C_full_covt +[Dataset] cur_step=5413 phase=C_full_covt +[Dataset] cur_step=5413 phase=C_full_covt +[Dataset] cur_step=5413 phase=C_full_covt + 60%|██████████████████ | 5413/9000 [3:45:09<4:01:15, 4.04s/it] {'loss': '3.226', 'grad_norm': '7.33', 'learning_rate': '1.875e-05', 'epoch': '0.1947'} + 60%|██████████████████ | 5413/9000 [3:45:09<4:01:15, 4.04s/it] {'lm_loss': '1.057', 'visual_loss': '2.812', 'seg_loss': '0.8524', 'dino_loss': '0.9124', 'depth_loss': '0.2095', 'vggt_mse_loss': '0.2081', 'vggt_cos_loss': '0.01418', 'pidinet_loss': '0.2296', 'siglip_loss': '0.6082', 'epoch': '0.1947'} + 60%|██████████████████ | 5413/9000 [3:45:12<4:01:15, 4.04s/it][Dataset] cur_step=5414 phase=C_full_covt +[Dataset] cur_step=5414 phase=C_full_covt +[Dataset] cur_step=5414 phase=C_full_covt +[Dataset] cur_step=5414 phase=C_full_covt +[Dataset] cur_step=5414 phase=C_full_covt +[Dataset] cur_step=5414 phase=C_full_covt +[Dataset] cur_step=5414 phase=C_full_covt +[Dataset] cur_step=5414 phase=C_full_covt + 60%|██████████████████ | 5414/9000 [3:45:13<3:57:48, 3.98s/it] {'loss': '3.305', 'grad_norm': '4.192', 'learning_rate': '1.874e-05', 'epoch': '0.1948'} + 60%|██████████████████ | 5414/9000 [3:45:13<3:57:48, 3.98s/it] {'lm_loss': '0.4521', 'visual_loss': '3.052', 'seg_loss': '0.7874', 'dino_loss': '0.9533', 'depth_loss': '0.2955', 'vggt_mse_loss': '0.293', 'vggt_cos_loss': '0.02491', 'pidinet_loss': '0.2537', 'siglip_loss': '0.762', 'epoch': '0.1948'} + 60%|██████████████████ | 5414/9000 [3:45:16<3:57:48, 3.98s/it][Dataset] cur_step=5415 phase=C_full_covt +[Dataset] cur_step=5415 phase=C_full_covt +[Dataset] cur_step=5415 phase=C_full_covt[Dataset] cur_step=5415 phase=C_full_covt + +[Dataset] cur_step=5415 phase=C_full_covt +[Dataset] cur_step=5415 phase=C_full_covt[Dataset] cur_step=5415 phase=C_full_covt + + 60%|██████████████████ | 5415/9000 [3:45:17<3:52:41, 3.89s/it][Dataset] cur_step=5415 phase=C_full_covt + {'loss': '3.03', 'grad_norm': '2.221', 'learning_rate': '1.873e-05', 'epoch': '0.1948'} + 60%|██████████████████ | 5415/9000 [3:45:17<3:52:41, 3.89s/it] {'lm_loss': '0.2856', 'visual_loss': '2.704', 'seg_loss': '0.7033', 'dino_loss': '0.8873', 'depth_loss': '0.2104', 'vggt_mse_loss': '0.2089', 'vggt_cos_loss': '0.01513', 'pidinet_loss': '0.3005', 'siglip_loss': '0.6022', 'epoch': '0.1948'} + 60%|██████████████████ | 5415/9000 [3:45:19<3:52:41, 3.89s/it][Dataset] cur_step=5416 phase=C_full_covt[Dataset] cur_step=5416 phase=C_full_covt + +[Dataset] cur_step=5416 phase=C_full_covt +[Dataset] cur_step=5416 phase=C_full_covt +[Dataset] cur_step=5416 phase=C_full_covt +[Dataset] cur_step=5416 phase=C_full_covt +[Dataset] cur_step=5416 phase=C_full_covt +[Dataset] cur_step=5416 phase=C_full_covt + 60%|██████████████████ | 5416/9000 [3:45:21<3:56:39, 3.96s/it] {'loss': '3.16', 'grad_norm': '2.609', 'learning_rate': '1.872e-05', 'epoch': '0.1948'} + 60%|██████████████████ | 5416/9000 [3:45:21<3:56:39, 3.96s/it] {'lm_loss': '0.4556', 'visual_loss': '2.516', 'seg_loss': '0.6838', 'dino_loss': '0.8796', 'depth_loss': '0.1838', 'vggt_mse_loss': '0.1824', 'vggt_cos_loss': '0.01386', 'pidinet_loss': '0.2874', 'siglip_loss': '0.4815', 'epoch': '0.1948'} + 60%|██████████████████ | 5416/9000 [3:45:24<3:56:39, 3.96s/it][Dataset] cur_step=5417 phase=C_full_covt + 60%|██████████████████ | 5417/9000 [3:45:25<3:57:46, 3.98s/it][Dataset] cur_step=5417 phase=C_full_covt +[Dataset] cur_step=5417 phase=C_full_covt +[Dataset] cur_step=5417 phase=C_full_covt +[Dataset] cur_step=5417 phase=C_full_covt +[Dataset] cur_step=5417 phase=C_full_covt +[Dataset] cur_step=5417 phase=C_full_covt +[Dataset] cur_step=5417 phase=C_full_covt + {'loss': '3.147', 'grad_norm': '2.641', 'learning_rate': '1.871e-05', 'epoch': '0.1949'} + 60%|██████████████████ | 5417/9000 [3:45:25<3:57:46, 3.98s/it] {'lm_loss': '0.4542', 'visual_loss': '3', 'seg_loss': '0.8444', 'dino_loss': '0.922', 'depth_loss': '0.2546', 'vggt_mse_loss': '0.2528', 'vggt_cos_loss': '0.01799', 'pidinet_loss': '0.2141', 'siglip_loss': '0.7646', 'epoch': '0.1949'} + 60%|██████████████████ | 5417/9000 [3:45:28<3:57:46, 3.98s/it][Dataset] cur_step=5418 phase=C_full_covt +[Dataset] cur_step=5418 phase=C_full_covt[Dataset] cur_step=5418 phase=C_full_covt + +[Dataset] cur_step=5418 phase=C_full_covt +[Dataset] cur_step=5418 phase=C_full_covt +[Dataset] cur_step=5418 phase=C_full_covt + 60%|██████████████████ | 5418/9000 [3:45:29<3:55:23, 3.94s/it][Dataset] cur_step=5418 phase=C_full_covt +[Dataset] cur_step=5418 phase=C_full_covt + {'loss': '3.268', 'grad_norm': '27.17', 'learning_rate': '1.87e-05', 'epoch': '0.1949'} + 60%|██████████████████ | 5418/9000 [3:45:29<3:55:23, 3.94s/it] {'lm_loss': '0.3629', 'visual_loss': '2.464', 'seg_loss': '0.7849', 'dino_loss': '0.9015', 'depth_loss': '0.2287', 'vggt_mse_loss': '0.2274', 'vggt_cos_loss': '0.01298', 'pidinet_loss': '0.1971', 'siglip_loss': '0.3521', 'epoch': '0.1949'} + 60%|██████████████████ | 5418/9000 [3:45:32<3:55:23, 3.94s/it][Dataset] cur_step=5419 phase=C_full_covt +[Dataset] cur_step=5419 phase=C_full_covt +[Dataset] cur_step=5419 phase=C_full_covt +[Dataset] cur_step=5419 phase=C_full_covt +[Dataset] cur_step=5419 phase=C_full_covt +[Dataset] cur_step=5419 phase=C_full_covt +[Dataset] cur_step=5419 phase=C_full_covt +[Dataset] cur_step=5419 phase=C_full_covt + 60%|██████████████████ | 5419/9000 [3:45:33<3:55:29, 3.95s/it] {'loss': '3.102', 'grad_norm': '59.94', 'learning_rate': '1.869e-05', 'epoch': '0.1949'} + 60%|██████████████████ | 5419/9000 [3:45:33<3:55:29, 3.95s/it] {'lm_loss': '0.2857', 'visual_loss': '2.704', 'seg_loss': '0.6932', 'dino_loss': '0.9153', 'depth_loss': '0.2601', 'vggt_mse_loss': '0.258', 'vggt_cos_loss': '0.02061', 'pidinet_loss': '0.2505', 'siglip_loss': '0.5844', 'epoch': '0.1949'} + 60%|██████████████████ | 5419/9000 [3:45:36<3:55:29, 3.95s/it][Dataset] cur_step=5420 phase=C_full_covt +[Dataset] cur_step=5420 phase=C_full_covt[Dataset] cur_step=5420 phase=C_full_covt[Dataset] cur_step=5420 phase=C_full_covt + + +[Dataset] cur_step=5420 phase=C_full_covt +[Dataset] cur_step=5420 phase=C_full_covt[Dataset] cur_step=5420 phase=C_full_covt + +[Dataset] cur_step=5420 phase=C_full_covt + 60%|██████████████████ | 5420/9000 [3:45:36<3:53:10, 3.91s/it] {'loss': '3.124', 'grad_norm': '2.575', 'learning_rate': '1.868e-05', 'epoch': '0.195'} + 60%|██████████████████ | 5420/9000 [3:45:36<3:53:10, 3.91s/it] {'lm_loss': '0.3469', 'visual_loss': '2.528', 'seg_loss': '0.6151', 'dino_loss': '0.9202', 'depth_loss': '0.196', 'vggt_mse_loss': '0.1946', 'vggt_cos_loss': '0.01402', 'pidinet_loss': '0.1955', 'siglip_loss': '0.6017', 'epoch': '0.195'} + 60%|██████████████████ | 5420/9000 [3:45:39<3:53:10, 3.91s/it][Dataset] cur_step=5421 phase=C_full_covt[Dataset] cur_step=5421 phase=C_full_covt +[Dataset] cur_step=5421 phase=C_full_covt +[Dataset] cur_step=5421 phase=C_full_covt + + 60%|██████████████████ | 5421/9000 [3:45:40<3:47:45, 3.82s/it][Dataset] cur_step=5421 phase=C_full_covt +[Dataset] cur_step=5421 phase=C_full_covt +[Dataset] cur_step=5421 phase=C_full_covt +[Dataset] cur_step=5421 phase=C_full_covt + {'loss': '3.303', 'grad_norm': '2.794', 'learning_rate': '1.868e-05', 'epoch': '0.195'} + 60%|██████████████████ | 5421/9000 [3:45:40<3:47:45, 3.82s/it] {'lm_loss': '0.2281', 'visual_loss': '2.564', 'seg_loss': '0.6237', 'dino_loss': '0.8957', 'depth_loss': '0.261', 'vggt_mse_loss': '0.2592', 'vggt_cos_loss': '0.01794', 'pidinet_loss': '0.2241', 'siglip_loss': '0.56', 'epoch': '0.195'} + 60%|██████████████████ | 5421/9000 [3:45:43<3:47:45, 3.82s/it][Dataset] cur_step=5422 phase=C_full_covt +[Dataset] cur_step=5422 phase=C_full_covt +[Dataset] cur_step=5422 phase=C_full_covt +[Dataset] cur_step=5422 phase=C_full_covt[Dataset] cur_step=5422 phase=C_full_covt + +[Dataset] cur_step=5422 phase=C_full_covt +[Dataset] cur_step=5422 phase=C_full_covt + 60%|██████████████████ | 5422/9000 [3:45:44<3:53:48, 3.92s/it][Dataset] cur_step=5422 phase=C_full_covt + {'loss': '3.175', 'grad_norm': '1.765', 'learning_rate': '1.867e-05', 'epoch': '0.1951'} + 60%|██████████████████ | 5422/9000 [3:45:44<3:53:48, 3.92s/it]2026-08-10 06:25:09.556 | ERROR | +swanlab.sdk.internal.pkg.client.session:send:131 - [HTTP] POST +https://api.swanlab.cn/api/house/metrics -> 522 (5115ms) trace:unknown | +[ERR] code=unknown code message=unknown error +2026-08-10 06:25:09.565 | WARNING | +swanlab.sdk.internal.core_python.transport.thread:warn:187 - Upload failed +due to network or server issues, retrying automatically. + {'lm_loss': '0.3714', 'visual_loss': '2.744', 'seg_loss': '0.6839', 'dino_loss': '0.8806', 'depth_loss': '0.3097', 'vggt_mse_loss': '0.3079', 'vggt_cos_loss': '0.01873', 'pidinet_loss': '0.2202', 'siglip_loss': '0.6497', 'epoch': '0.1951'} + 60%|██████████████████ | 5422/9000 [3:45:48<3:53:48, 3.92s/it][Dataset] cur_step=5423 phase=C_full_covt + 60%|██████████████████ | 5423/9000 [3:45:48<3:59:30, 4.02s/it][Dataset] cur_step=5423 phase=C_full_covt +[Dataset] cur_step=5423 phase=C_full_covt +[Dataset] cur_step=5423 phase=C_full_covt +[Dataset] cur_step=5423 phase=C_full_covt +[Dataset] cur_step=5423 phase=C_full_covt +[Dataset] cur_step=5423 phase=C_full_covt +[Dataset] cur_step=5423 phase=C_full_covt + {'loss': '3.172', 'grad_norm': '5.509', 'learning_rate': '1.866e-05', 'epoch': '0.1951'} + 60%|██████████████████ | 5423/9000 [3:45:48<3:59:30, 4.02s/it]swanlab: Upload recovered, resuming normally. + {'lm_loss': '0.3463', 'visual_loss': '2.364', 'seg_loss': '0.6931', 'dino_loss': '0.8727', 'depth_loss': '0.2624', 'vggt_mse_loss': '0.2609', 'vggt_cos_loss': '0.0145', 'pidinet_loss': '0.1581', 'siglip_loss': '0.3778', 'epoch': '0.1951'} + 60%|██████████████████ | 5423/9000 [3:45:52<3:59:30, 4.02s/it][Dataset] cur_step=5424 phase=C_full_covt +[Dataset] cur_step=5424 phase=C_full_covt +[Dataset] cur_step=5424 phase=C_full_covt 60%|██████████████████ | 5424/9000 [3:45:53<4:01:53, 4.06s/it] +[Dataset] cur_step=5424 phase=C_full_covt +[Dataset] cur_step=5424 phase=C_full_covt +[Dataset] cur_step=5424 phase=C_full_covt +[Dataset] cur_step=5424 phase=C_full_covt +[Dataset] cur_step=5424 phase=C_full_covt + {'loss': '3.123', 'grad_norm': '1.838', 'learning_rate': '1.865e-05', 'epoch': '0.1951'} + 60%|██████████████████ | 5424/9000 [3:45:53<4:01:53, 4.06s/it] {'lm_loss': '0.4927', 'visual_loss': '2.502', 'seg_loss': '0.6927', 'dino_loss': '0.8878', 'depth_loss': '0.3027', 'vggt_mse_loss': '0.3007', 'vggt_cos_loss': '0.02', 'pidinet_loss': '0.211', 'siglip_loss': '0.4073', 'epoch': '0.1951'} + 60%|██████████████████ | 5424/9000 [3:45:56<4:01:53, 4.06s/it][Dataset] cur_step=5425 phase=C_full_covt + 60%|██████████████████ | 5425/9000 [3:45:57<4:02:42, 4.07s/it][Dataset] cur_step=5425 phase=C_full_covt +[Dataset] cur_step=5425 phase=C_full_covt +[Dataset] cur_step=5425 phase=C_full_covt +[Dataset] cur_step=5425 phase=C_full_covt +[Dataset] cur_step=5425 phase=C_full_covt[Dataset] cur_step=5425 phase=C_full_covt + +[Dataset] cur_step=5425 phase=C_full_covt + {'loss': '3.01', 'grad_norm': '2.338', 'learning_rate': '1.864e-05', 'epoch': '0.1952'} + 60%|██████████████████ | 5425/9000 [3:45:57<4:02:42, 4.07s/it] {'lm_loss': '0.5601', 'visual_loss': '2.462', 'seg_loss': '0.7075', 'dino_loss': '0.8794', 'depth_loss': '0.2722', 'vggt_mse_loss': '0.2706', 'vggt_cos_loss': '0.0159', 'pidinet_loss': '0.2371', 'siglip_loss': '0.3655', 'epoch': '0.1952'} + 60%|██████████████████ | 5425/9000 [3:46:01<4:02:42, 4.07s/it][Dataset] cur_step=5426 phase=C_full_covt +[Dataset] cur_step=5426 phase=C_full_covt +[Dataset] cur_step=5426 phase=C_full_covt 60%|██████████████████ | 5426/9000 [3:46:01<4:04:44, 4.11s/it] +[Dataset] cur_step=5426 phase=C_full_covt +[Dataset] cur_step=5426 phase=C_full_covt +[Dataset] cur_step=5426 phase=C_full_covt +[Dataset] cur_step=5426 phase=C_full_covt +[Dataset] cur_step=5426 phase=C_full_covt + {'loss': '3.337', 'grad_norm': '2.272', 'learning_rate': '1.863e-05', 'epoch': '0.1952'} + 60%|██████████████████ | 5426/9000 [3:46:01<4:04:44, 4.11s/it] {'lm_loss': '0.3276', 'visual_loss': '2.579', 'seg_loss': '0.7375', 'dino_loss': '0.9039', 'depth_loss': '0.2421', 'vggt_mse_loss': '0.2404', 'vggt_cos_loss': '0.01677', 'pidinet_loss': '0.2345', 'siglip_loss': '0.4606', 'epoch': '0.1952'} + 60%|██████████████████ | 5426/9000 [3:46:04<4:04:44, 4.11s/it][Dataset] cur_step=5427 phase=C_full_covt +[Dataset] cur_step=5427 phase=C_full_covt +[Dataset] cur_step=5427 phase=C_full_covt +[Dataset] cur_step=5427 phase=C_full_covt +[Dataset] cur_step=5427 phase=C_full_covt +[Dataset] cur_step=5427 phase=C_full_covt[Dataset] cur_step=5427 phase=C_full_covt[Dataset] cur_step=5427 phase=C_full_covt 60%|██████████████████ | 5427/9000 [3:46:05<4:04:09, 4.10s/it] + + + {'loss': '3.118', 'grad_norm': '3.032', 'learning_rate': '1.862e-05', 'epoch': '0.1952'} + 60%|██████████████████ | 5427/9000 [3:46:05<4:04:09, 4.10s/it] {'lm_loss': '0.4414', 'visual_loss': '2.532', 'seg_loss': '0.6929', 'dino_loss': '0.8684', 'depth_loss': '0.2861', 'vggt_mse_loss': '0.2849', 'vggt_cos_loss': '0.01204', 'pidinet_loss': '0.1719', 'siglip_loss': '0.5128', 'epoch': '0.1952'} + 60%|██████████████████ | 5427/9000 [3:46:08<4:04:09, 4.10s/it][Dataset] cur_step=5428 phase=C_full_covt +[Dataset] cur_step=5428 phase=C_full_covt[Dataset] cur_step=5428 phase=C_full_covt + + 60%|██████████████████ | 5428/9000 [3:46:09<4:09:39, 4.19s/it][Dataset] cur_step=5428 phase=C_full_covt +[Dataset] cur_step=5428 phase=C_full_covt +[Dataset] cur_step=5428 phase=C_full_covt +[Dataset] cur_step=5428 phase=C_full_covt +[Dataset] cur_step=5428 phase=C_full_covt + {'loss': '3.034', 'grad_norm': '2.105', 'learning_rate': '1.861e-05', 'epoch': '0.1953'} + 60%|██████████████████ | 5428/9000 [3:46:09<4:09:39, 4.19s/it] {'lm_loss': '0.8687', 'visual_loss': '2.722', 'seg_loss': '0.647', 'dino_loss': '0.9238', 'depth_loss': '0.2551', 'vggt_mse_loss': '0.2533', 'vggt_cos_loss': '0.01795', 'pidinet_loss': '0.2355', 'siglip_loss': '0.6611', 'epoch': '0.1953'} + 60%|██████████████████ | 5428/9000 [3:46:13<4:09:39, 4.19s/it][Dataset] cur_step=5429 phase=C_full_covt[Dataset] cur_step=5429 phase=C_full_covt + +[Dataset] cur_step=5429 phase=C_full_covt 60%|██████████████████ | 5429/9000 [3:46:13<4:06:05, 4.13s/it][Dataset] cur_step=5429 phase=C_full_covt +[Dataset] cur_step=5429 phase=C_full_covt + +[Dataset] cur_step=5429 phase=C_full_covt +[Dataset] cur_step=5429 phase=C_full_covt +[Dataset] cur_step=5429 phase=C_full_covt + {'loss': '3.16', 'grad_norm': '2.469', 'learning_rate': '1.86e-05', 'epoch': '0.1953'} + 60%|██████████████████ | 5429/9000 [3:46:13<4:06:05, 4.13s/it] {'lm_loss': '0.4821', 'visual_loss': '2.586', 'seg_loss': '0.6936', 'dino_loss': '0.8887', 'depth_loss': '0.1956', 'vggt_mse_loss': '0.1944', 'vggt_cos_loss': '0.0128', 'pidinet_loss': '0.1873', 'siglip_loss': '0.6209', 'epoch': '0.1953'} + 60%|██████████████████ | 5429/9000 [3:46:18<4:06:05, 4.13s/it][Dataset] cur_step=5430 phase=C_full_covt + 60%|██████████████████ | 5430/9000 [3:46:18<4:15:14, 4.29s/it][Dataset] cur_step=5430 phase=C_full_covt +[Dataset] cur_step=5430 phase=C_full_covt[Dataset] cur_step=5430 phase=C_full_covt + +[Dataset] cur_step=5430 phase=C_full_covt +[Dataset] cur_step=5430 phase=C_full_covt[Dataset] cur_step=5430 phase=C_full_covt +[Dataset] cur_step=5430 phase=C_full_covt + + {'loss': '3.072', 'grad_norm': '2.874', 'learning_rate': '1.86e-05', 'epoch': '0.1953'} + 60%|██████████████████ | 5430/9000 [3:46:18<4:15:14, 4.29s/it] {'lm_loss': '0.2662', 'visual_loss': '2.817', 'seg_loss': '0.7468', 'dino_loss': '0.9264', 'depth_loss': '0.2436', 'vggt_mse_loss': '0.2418', 'vggt_cos_loss': '0.01752', 'pidinet_loss': '0.2679', 'siglip_loss': '0.6323', 'epoch': '0.1953'} + 60%|██████████████████ | 5430/9000 [3:46:21<4:15:14, 4.29s/it][Dataset] cur_step=5431 phase=C_full_covt[Dataset] cur_step=5431 phase=C_full_covt + +[Dataset] cur_step=5431 phase=C_full_covt +[Dataset] cur_step=5431 phase=C_full_covt +[Dataset] cur_step=5431 phase=C_full_covt[Dataset] cur_step=5431 phase=C_full_covt +[Dataset] cur_step=5431 phase=C_full_covt + + 60%|██████████████████ | 5431/9000 [3:46:22<4:04:04, 4.10s/it][Dataset] cur_step=5431 phase=C_full_covt + {'loss': '3.229', 'grad_norm': '3.515', 'learning_rate': '1.859e-05', 'epoch': '0.1954'} + 60%|██████████████████ | 5431/9000 [3:46:22<4:04:04, 4.10s/it] {'lm_loss': '0.004228', 'visual_loss': '2.386', 'seg_loss': '0.6007', 'dino_loss': '0.8909', 'depth_loss': '0.264', 'vggt_mse_loss': '0.2625', 'vggt_cos_loss': '0.0149', 'pidinet_loss': '0.1984', 'siglip_loss': '0.4319', 'epoch': '0.1954'} + 60%|██████████████████ | 5431/9000 [3:46:25<4:04:04, 4.10s/it][Dataset] cur_step=5432 phase=C_full_covt +[Dataset] cur_step=5432 phase=C_full_covt +[Dataset] cur_step=5432 phase=C_full_covt[Dataset] cur_step=5432 phase=C_full_covt + +[Dataset] cur_step=5432 phase=C_full_covt + 60%|██████████████████ | 5432/9000 [3:46:26<4:06:51, 4.15s/it][Dataset] cur_step=5432 phase=C_full_covt +[Dataset] cur_step=5432 phase=C_full_covt +[Dataset] cur_step=5432 phase=C_full_covt + {'loss': '2.962', 'grad_norm': '2.611', 'learning_rate': '1.858e-05', 'epoch': '0.1954'} + 60%|██████████████████ | 5432/9000 [3:46:26<4:06:51, 4.15s/it] {'lm_loss': '0.3458', 'visual_loss': '2.788', 'seg_loss': '0.7079', 'dino_loss': '0.928', 'depth_loss': '0.2253', 'vggt_mse_loss': '0.2236', 'vggt_cos_loss': '0.01717', 'pidinet_loss': '0.2253', 'siglip_loss': '0.7011', 'epoch': '0.1954'} + 60%|██████████████████ | 5432/9000 [3:46:29<4:06:51, 4.15s/it][Dataset] cur_step=5433 phase=C_full_covt +[Dataset] cur_step=5433 phase=C_full_covt +[Dataset] cur_step=5433 phase=C_full_covt +[Dataset] cur_step=5433 phase=C_full_covt +[Dataset] cur_step=5433 phase=C_full_covt +[Dataset] cur_step=5433 phase=C_full_covt[Dataset] cur_step=5433 phase=C_full_covt + +[Dataset] cur_step=5433 phase=C_full_covt + 60%|██████████████████ | 5433/9000 [3:46:30<4:03:09, 4.09s/it] {'loss': '3.1', 'grad_norm': '2.438', 'learning_rate': '1.857e-05', 'epoch': '0.1955'} + 60%|██████████████████ | 5433/9000 [3:46:30<4:03:09, 4.09s/it] {'lm_loss': '0.2581', 'visual_loss': '2.748', 'seg_loss': '0.7443', 'dino_loss': '0.9411', 'depth_loss': '0.2653', 'vggt_mse_loss': '0.2637', 'vggt_cos_loss': '0.01566', 'pidinet_loss': '0.2088', 'siglip_loss': '0.5884', 'epoch': '0.1955'} + 60%|██████████████████ | 5433/9000 [3:46:33<4:03:09, 4.09s/it][Dataset] cur_step=5434 phase=C_full_covt +[Dataset] cur_step=5434 phase=C_full_covt +[Dataset] cur_step=5434 phase=C_full_covt + 60%|██████████████████ | 5434/9000 [3:46:34<4:03:32, 4.10s/it][Dataset] cur_step=5434 phase=C_full_covt +[Dataset] cur_step=5434 phase=C_full_covt +[Dataset] cur_step=5434 phase=C_full_covt +[Dataset] cur_step=5434 phase=C_full_covt +[Dataset] cur_step=5434 phase=C_full_covt + {'loss': '3.237', 'grad_norm': '2.79', 'learning_rate': '1.856e-05', 'epoch': '0.1955'} + 60%|██████████████████ | 5434/9000 [3:46:34<4:03:32, 4.10s/it] {'lm_loss': '0.9406', 'visual_loss': '2.696', 'seg_loss': '0.7617', 'dino_loss': '0.9136', 'depth_loss': '0.2344', 'vggt_mse_loss': '0.2329', 'vggt_cos_loss': '0.01537', 'pidinet_loss': '0.2491', 'siglip_loss': '0.5371', 'epoch': '0.1955'} + 60%|██████████████████ | 5434/9000 [3:46:37<4:03:32, 4.10s/it][Dataset] cur_step=5435 phase=C_full_covt +[Dataset] cur_step=5435 phase=C_full_covt[Dataset] cur_step=5435 phase=C_full_covt +[Dataset] cur_step=5435 phase=C_full_covt + +[Dataset] cur_step=5435 phase=C_full_covt +[Dataset] cur_step=5435 phase=C_full_covt +[Dataset] cur_step=5435 phase=C_full_covt + 60%|██████████████████ | 5435/9000 [3:46:38<4:07:00, 4.16s/it][Dataset] cur_step=5435 phase=C_full_covt + {'loss': '3.235', 'grad_norm': '3.682', 'learning_rate': '1.855e-05', 'epoch': '0.1955'} + 60%|██████████████████ | 5435/9000 [3:46:38<4:07:00, 4.16s/it] {'lm_loss': '0.4844', 'visual_loss': '2.468', 'seg_loss': '0.6372', 'dino_loss': '0.8877', 'depth_loss': '0.2457', 'vggt_mse_loss': '0.2442', 'vggt_cos_loss': '0.01488', 'pidinet_loss': '0.1981', 'siglip_loss': '0.4992', 'epoch': '0.1955'} + 60%|██████████████████ | 5435/9000 [3:46:42<4:07:00, 4.16s/it][Dataset] cur_step=5436 phase=C_full_covt[Dataset] cur_step=5436 phase=C_full_covt + +[Dataset] cur_step=5436 phase=C_full_covt +[Dataset] cur_step=5436 phase=C_full_covt + 60%|██████████████████ | 5436/9000 [3:46:42<4:04:02, 4.11s/it][Dataset] cur_step=5436 phase=C_full_covt[Dataset] cur_step=5436 phase=C_full_covt + +[Dataset] cur_step=5436 phase=C_full_covt +[Dataset] cur_step=5436 phase=C_full_covt + {'loss': '3.06', 'grad_norm': '3.899', 'learning_rate': '1.854e-05', 'epoch': '0.1956'} + 60%|██████████████████ | 5436/9000 [3:46:42<4:04:02, 4.11s/it] {'lm_loss': '0.4352', 'visual_loss': '3.178', 'seg_loss': '0.7128', 'dino_loss': '0.9162', 'depth_loss': '0.2608', 'vggt_mse_loss': '0.2589', 'vggt_cos_loss': '0.01939', 'pidinet_loss': '0.2911', 'siglip_loss': '0.9975', 'epoch': '0.1956'} + 60%|██████████████████ | 5436/9000 [3:46:45<4:04:02, 4.11s/it][Dataset] cur_step=5437 phase=C_full_covt +[Dataset] cur_step=5437 phase=C_full_covt +[Dataset] cur_step=5437 phase=C_full_covt +[Dataset] cur_step=5437 phase=C_full_covt +[Dataset] cur_step=5437 phase=C_full_covt[Dataset] cur_step=5437 phase=C_full_covt +[Dataset] cur_step=5437 phase=C_full_covt + + 60%|██████████████████ | 5437/9000 [3:46:46<3:55:44, 3.97s/it][Dataset] cur_step=5437 phase=C_full_covt + {'loss': '3.342', 'grad_norm': '1.657', 'learning_rate': '1.853e-05', 'epoch': '0.1956'} + 60%|██████████████████ | 5437/9000 [3:46:46<3:55:44, 3.97s/it] {'lm_loss': '0.2443', 'visual_loss': '2.399', 'seg_loss': '0.7695', 'dino_loss': '0.8947', 'depth_loss': '0.2124', 'vggt_mse_loss': '0.2112', 'vggt_cos_loss': '0.01183', 'pidinet_loss': '0.165', 'siglip_loss': '0.3573', 'epoch': '0.1956'} + 60%|██████████████████ | 5437/9000 [3:46:49<3:55:44, 3.97s/it][Dataset] cur_step=5438 phase=C_full_covt +[Dataset] cur_step=5438 phase=C_full_covt +[Dataset] cur_step=5438 phase=C_full_covt +[Dataset] cur_step=5438 phase=C_full_covt +[Dataset] cur_step=5438 phase=C_full_covt +[Dataset] cur_step=5438 phase=C_full_covt 60%|██████████████████▏ | 5438/9000 [3:46:50<3:53:12, 3.93s/it] +[Dataset] cur_step=5438 phase=C_full_covt +[Dataset] cur_step=5438 phase=C_full_covt + {'loss': '2.987', 'grad_norm': '2.135', 'learning_rate': '1.853e-05', 'epoch': '0.1956'} + 60%|██████████████████▏ | 5438/9000 [3:46:50<3:53:12, 3.93s/it] {'lm_loss': '0.4061', 'visual_loss': '2.635', 'seg_loss': '0.7', 'dino_loss': '0.8675', 'depth_loss': '0.272', 'vggt_mse_loss': '0.2699', 'vggt_cos_loss': '0.02039', 'pidinet_loss': '0.252', 'siglip_loss': '0.5433', 'epoch': '0.1956'} + 60%|██████████████████▏ | 5438/9000 [3:46:53<3:53:12, 3.93s/it][Dataset] cur_step=5439 phase=C_full_covt +[Dataset] cur_step=5439 phase=C_full_covt +[Dataset] cur_step=5439 phase=C_full_covt +[Dataset] cur_step=5439 phase=C_full_covt +[Dataset] cur_step=5439 phase=C_full_covt[Dataset] cur_step=5439 phase=C_full_covt + + 60%|██████████████████▏ | 5439/9000 [3:46:54<3:56:28, 3.98s/it][Dataset] cur_step=5439 phase=C_full_covt +[Dataset] cur_step=5439 phase=C_full_covt + {'loss': '2.938', 'grad_norm': '44.22', 'learning_rate': '1.852e-05', 'epoch': '0.1957'} + 60%|██████████████████▏ | 5439/9000 [3:46:54<3:56:28, 3.98s/it] {'lm_loss': '0.3839', 'visual_loss': '2.728', 'seg_loss': '0.6826', 'dino_loss': '0.9515', 'depth_loss': '0.2884', 'vggt_mse_loss': '0.2864', 'vggt_cos_loss': '0.01943', 'pidinet_loss': '0.1994', 'siglip_loss': '0.6064', 'epoch': '0.1957'} + 60%|██████████████████▏ | 5439/9000 [3:46:57<3:56:28, 3.98s/it][Dataset] cur_step=5440 phase=C_full_covt +[Dataset] cur_step=5440 phase=C_full_covt +[Dataset] cur_step=5440 phase=C_full_covt +[Dataset] cur_step=5440 phase=C_full_covt +[Dataset] cur_step=5440 phase=C_full_covt[Dataset] cur_step=5440 phase=C_full_covt + +[Dataset] cur_step=5440 phase=C_full_covt +[Dataset] cur_step=5440 phase=C_full_covt + 60%|██████████████████▏ | 5440/9000 [3:46:58<3:57:27, 4.00s/it] {'loss': '3.226', 'grad_norm': '3.195', 'learning_rate': '1.851e-05', 'epoch': '0.1957'} + 60%|██████████████████▏ | 5440/9000 [3:46:58<3:57:27, 4.00s/it] {'lm_loss': '0.292', 'visual_loss': '2.869', 'seg_loss': '0.7247', 'dino_loss': '0.9028', 'depth_loss': '0.2385', 'vggt_mse_loss': '0.2366', 'vggt_cos_loss': '0.0184', 'pidinet_loss': '0.2015', 'siglip_loss': '0.8019', 'epoch': '0.1957'} + 60%|██████████████████▏ | 5440/9000 [3:47:01<3:57:27, 4.00s/it][Dataset] cur_step=5441 phase=C_full_covt + 60%|██████████████████▏ | 5441/9000 [3:47:02<3:55:59, 3.98s/it][Dataset] cur_step=5441 phase=C_full_covt +[Dataset] cur_step=5441 phase=C_full_covt +[Dataset] cur_step=5441 phase=C_full_covt +[Dataset] cur_step=5441 phase=C_full_covt[Dataset] cur_step=5441 phase=C_full_covt +[Dataset] cur_step=5441 phase=C_full_covt + +[Dataset] cur_step=5441 phase=C_full_covt + {'loss': '3.068', 'grad_norm': '2.737', 'learning_rate': '1.85e-05', 'epoch': '0.1957'} + 60%|██████████████████▏ | 5441/9000 [3:47:02<3:55:59, 3.98s/it] {'lm_loss': '0.005092', 'visual_loss': '2.677', 'seg_loss': '0.6722', 'dino_loss': '0.8974', 'depth_loss': '0.2335', 'vggt_mse_loss': '0.2317', 'vggt_cos_loss': '0.01798', 'pidinet_loss': '0.2854', 'siglip_loss': '0.5886', 'epoch': '0.1957'} + 60%|██████████████████▏ | 5441/9000 [3:47:05<3:55:59, 3.98s/it][Dataset] cur_step=5442 phase=C_full_covt +[Dataset] cur_step=5442 phase=C_full_covt + 60%|██████████████████▏ | 5442/9000 [3:47:06<3:51:02, 3.90s/it][Dataset] cur_step=5442 phase=C_full_covt +[Dataset] cur_step=5442 phase=C_full_covt +[Dataset] cur_step=5442 phase=C_full_covt +[Dataset] cur_step=5442 phase=C_full_covt +[Dataset] cur_step=5442 phase=C_full_covt +[Dataset] cur_step=5442 phase=C_full_covt + {'loss': '3.2', 'grad_norm': '2.209', 'learning_rate': '1.849e-05', 'epoch': '0.1958'} + 60%|██████████████████▏ | 5442/9000 [3:47:06<3:51:02, 3.90s/it] {'lm_loss': '2.129', 'visual_loss': '2.761', 'seg_loss': '0.7188', 'dino_loss': '0.921', 'depth_loss': '0.2286', 'vggt_mse_loss': '0.227', 'vggt_cos_loss': '0.01658', 'pidinet_loss': '0.2854', 'siglip_loss': '0.6073', 'epoch': '0.1958'} + 60%|██████████████████▏ | 5442/9000 [3:47:09<3:51:02, 3.90s/it][Dataset] cur_step=5443 phase=C_full_covt + 60%|██████████████████▏ | 5443/9000 [3:47:09<3:47:15, 3.83s/it][Dataset] cur_step=5443 phase=C_full_covt +[Dataset] cur_step=5443 phase=C_full_covt +[Dataset] cur_step=5443 phase=C_full_covt +[Dataset] cur_step=5443 phase=C_full_covt[Dataset] cur_step=5443 phase=C_full_covt + +[Dataset] cur_step=5443 phase=C_full_covt +[Dataset] cur_step=5443 phase=C_full_covt + {'loss': '3.392', 'grad_norm': '1.758', 'learning_rate': '1.848e-05', 'epoch': '0.1958'} + 60%|██████████████████▏ | 5443/9000 [3:47:09<3:47:15, 3.83s/it] {'lm_loss': '0.4472', 'visual_loss': '2.599', 'seg_loss': '0.6186', 'dino_loss': '0.9093', 'depth_loss': '0.2517', 'vggt_mse_loss': '0.25', 'vggt_cos_loss': '0.0168', 'pidinet_loss': '0.2828', 'siglip_loss': '0.5361', 'epoch': '0.1958'} + 60%|██████████████████▏ | 5443/9000 [3:47:12<3:47:15, 3.83s/it][Dataset] cur_step=5444 phase=C_full_covt +[Dataset] cur_step=5444 phase=C_full_covt +[Dataset] cur_step=5444 phase=C_full_covt +[Dataset] cur_step=5444 phase=C_full_covt +[Dataset] cur_step=5444 phase=C_full_covt +[Dataset] cur_step=5444 phase=C_full_covt + 60%|██████████████████▏ | 5444/9000 [3:47:13<3:50:21, 3.89s/it][Dataset] cur_step=5444 phase=C_full_covt +[Dataset] cur_step=5444 phase=C_full_covt + {'loss': '3.222', 'grad_norm': '2.528', 'learning_rate': '1.847e-05', 'epoch': '0.1958'} + 60%|██████████████████▏ | 5444/9000 [3:47:13<3:50:21, 3.89s/it] {'lm_loss': '0.0501', 'visual_loss': '2.758', 'seg_loss': '0.6215', 'dino_loss': '0.9127', 'depth_loss': '0.3361', 'vggt_mse_loss': '0.3334', 'vggt_cos_loss': '0.02704', 'pidinet_loss': '0.2406', 'siglip_loss': '0.6472', 'epoch': '0.1958'} + 60%|██████████████████▏ | 5444/9000 [3:47:16<3:50:21, 3.89s/it][Dataset] cur_step=5445 phase=C_full_covt +[Dataset] cur_step=5445 phase=C_full_covt[Dataset] cur_step=5445 phase=C_full_covt + +[Dataset] cur_step=5445 phase=C_full_covt +[Dataset] cur_step=5445 phase=C_full_covt + 60%|██████████████████▏ | 5445/9000 [3:47:18<3:57:47, 4.01s/it][Dataset] cur_step=5445 phase=C_full_covt +[Dataset] cur_step=5445 phase=C_full_covt +[Dataset] cur_step=5445 phase=C_full_covt + {'loss': '3.042', 'grad_norm': '1.569', 'learning_rate': '1.846e-05', 'epoch': '0.1959'} + 60%|██████████████████▏ | 5445/9000 [3:47:18<3:57:47, 4.01s/it] {'lm_loss': '0.3951', 'visual_loss': '2.898', 'seg_loss': '0.7718', 'dino_loss': '0.9205', 'depth_loss': '0.269', 'vggt_mse_loss': '0.2672', 'vggt_cos_loss': '0.01793', 'pidinet_loss': '0.2265', 'siglip_loss': '0.7099', 'epoch': '0.1959'} + 60%|██████████████████▏ | 5445/9000 [3:47:21<3:57:47, 4.01s/it][Dataset] cur_step=5446 phase=C_full_covt +[Dataset] cur_step=5446 phase=C_full_covt +[Dataset] cur_step=5446 phase=C_full_covt +[Dataset] cur_step=5446 phase=C_full_covt +[Dataset] cur_step=5446 phase=C_full_covt +[Dataset] cur_step=5446 phase=C_full_covt + 61%|██████████████████▏ | 5446/9000 [3:47:22<3:56:19, 3.99s/it][Dataset] cur_step=5446 phase=C_full_covt +[Dataset] cur_step=5446 phase=C_full_covt + {'loss': '3.107', 'grad_norm': '2.206', 'learning_rate': '1.845e-05', 'epoch': '0.1959'} + 61%|██████████████████▏ | 5446/9000 [3:47:22<3:56:19, 3.99s/it] {'lm_loss': '0.001329', 'visual_loss': '2.258', 'seg_loss': '0.6157', 'dino_loss': '0.9194', 'depth_loss': '0.2058', 'vggt_mse_loss': '0.2046', 'vggt_cos_loss': '0.01203', 'pidinet_loss': '0.2065', 'siglip_loss': '0.3111', 'epoch': '0.1959'} + 61%|██████████████████▏ | 5446/9000 [3:47:25<3:56:19, 3.99s/it][Dataset] cur_step=5447 phase=C_full_covt +[Dataset] cur_step=5447 phase=C_full_covt +[Dataset] cur_step=5447 phase=C_full_covt[Dataset] cur_step=5447 phase=C_full_covt + + 61%|██████████████████▏ | 5447/9000 [3:47:26<3:56:40, 4.00s/it][Dataset] cur_step=5447 phase=C_full_covt[Dataset] cur_step=5447 phase=C_full_covt + +[Dataset] cur_step=5447 phase=C_full_covt +[Dataset] cur_step=5447 phase=C_full_covt + {'loss': '3.01', 'grad_norm': '1.826', 'learning_rate': '1.845e-05', 'epoch': '0.196'} + 61%|██████████████████▏ | 5447/9000 [3:47:26<3:56:40, 4.00s/it] {'lm_loss': '0.6787', 'visual_loss': '2.504', 'seg_loss': '0.6965', 'dino_loss': '0.9182', 'depth_loss': '0.227', 'vggt_mse_loss': '0.2256', 'vggt_cos_loss': '0.0142', 'pidinet_loss': '0.1772', 'siglip_loss': '0.485', 'epoch': '0.196'} + 61%|██████████████████▏ | 5447/9000 [3:47:29<3:56:40, 4.00s/it][Dataset] cur_step=5448 phase=C_full_covt +[Dataset] cur_step=5448 phase=C_full_covt +[Dataset] cur_step=5448 phase=C_full_covt +[Dataset] cur_step=5448 phase=C_full_covt +[Dataset] cur_step=5448 phase=C_full_covt[Dataset] cur_step=5448 phase=C_full_covt[Dataset] cur_step=5448 phase=C_full_covt + + +[Dataset] cur_step=5448 phase=C_full_covt + 61%|██████████████████▏ | 5448/9000 [3:47:30<4:02:04, 4.09s/it] {'loss': '3.129', 'grad_norm': '1.659', 'learning_rate': '1.844e-05', 'epoch': '0.196'} + 61%|██████████████████▏ | 5448/9000 [3:47:30<4:02:04, 4.09s/it] {'lm_loss': '0.5682', 'visual_loss': '2.911', 'seg_loss': '0.8092', 'dino_loss': '0.9143', 'depth_loss': '0.311', 'vggt_mse_loss': '0.3084', 'vggt_cos_loss': '0.02619', 'pidinet_loss': '0.2496', 'siglip_loss': '0.6268', 'epoch': '0.196'} + 61%|██████████████████▏ | 5448/9000 [3:47:33<4:02:04, 4.09s/it][Dataset] cur_step=5449 phase=C_full_covt + 61%|██████████████████▏ | 5449/9000 [3:47:34<3:54:16, 3.96s/it][Dataset] cur_step=5449 phase=C_full_covt[Dataset] cur_step=5449 phase=C_full_covt +[Dataset] cur_step=5449 phase=C_full_covt + +[Dataset] cur_step=5449 phase=C_full_covt +[Dataset] cur_step=5449 phase=C_full_covt +[Dataset] cur_step=5449 phase=C_full_covt +[Dataset] cur_step=5449 phase=C_full_covt + {'loss': '3.259', 'grad_norm': '2.008', 'learning_rate': '1.843e-05', 'epoch': '0.196'} + 61%|██████████████████▏ | 5449/9000 [3:47:34<3:54:16, 3.96s/it] {'lm_loss': '0.2121', 'visual_loss': '2.602', 'seg_loss': '0.7213', 'dino_loss': '0.9032', 'depth_loss': '0.2279', 'vggt_mse_loss': '0.2262', 'vggt_cos_loss': '0.01665', 'pidinet_loss': '0.235', 'siglip_loss': '0.5145', 'epoch': '0.196'} + 61%|██████████████████▏ | 5449/9000 [3:47:37<3:54:16, 3.96s/it][Dataset] cur_step=5450 phase=C_full_covt[Dataset] cur_step=5450 phase=C_full_covt + +[Dataset] cur_step=5450 phase=C_full_covt[Dataset] cur_step=5450 phase=C_full_covt[Dataset] cur_step=5450 phase=C_full_covt + + +[Dataset] cur_step=5450 phase=C_full_covt + 61%|██████████████████▏ | 5450/9000 [3:47:37<3:53:02, 3.94s/it][Dataset] cur_step=5450 phase=C_full_covt +[Dataset] cur_step=5450 phase=C_full_covt + {'loss': '3.175', 'grad_norm': '3.486', 'learning_rate': '1.842e-05', 'epoch': '0.1961'} + 61%|██████████████████▏ | 5450/9000 [3:47:37<3:53:02, 3.94s/it] {'lm_loss': '0.4257', 'visual_loss': '2.542', 'seg_loss': '0.6983', 'dino_loss': '0.906', 'depth_loss': '0.2959', 'vggt_mse_loss': '0.2938', 'vggt_cos_loss': '0.02064', 'pidinet_loss': '0.1837', 'siglip_loss': '0.4584', 'epoch': '0.1961'} + 61%|██████████████████▏ | 5450/9000 [3:47:41<3:53:02, 3.94s/it][Dataset] cur_step=5451 phase=C_full_covt +[Dataset] cur_step=5451 phase=C_full_covt[Dataset] cur_step=5451 phase=C_full_covt + + 61%|██████████████████▏ | 5451/9000 [3:47:41<3:53:54, 3.95s/it][Dataset] cur_step=5451 phase=C_full_covt +[Dataset] cur_step=5451 phase=C_full_covt +[Dataset] cur_step=5451 phase=C_full_covt +[Dataset] cur_step=5451 phase=C_full_covt +[Dataset] cur_step=5451 phase=C_full_covt + {'loss': '3.009', 'grad_norm': '4.763', 'learning_rate': '1.841e-05', 'epoch': '0.1961'} + 61%|██████████████████▏ | 5451/9000 [3:47:41<3:53:54, 3.95s/it] {'lm_loss': '0.4633', 'visual_loss': '2.739', 'seg_loss': '0.7155', 'dino_loss': '0.9124', 'depth_loss': '0.2006', 'vggt_mse_loss': '0.1992', 'vggt_cos_loss': '0.01423', 'pidinet_loss': '0.2572', 'siglip_loss': '0.6536', 'epoch': '0.1961'} + 61%|██████████████████▏ | 5451/9000 [3:47:45<3:53:54, 3.95s/it][Dataset] cur_step=5452 phase=C_full_covt + 61%|██████████████████▏ | 5452/9000 [3:47:46<3:58:51, 4.04s/it][Dataset] cur_step=5452 phase=C_full_covt +[Dataset] cur_step=5452 phase=C_full_covt[Dataset] cur_step=5452 phase=C_full_covt[Dataset] cur_step=5452 phase=C_full_covt + + +[Dataset] cur_step=5452 phase=C_full_covt[Dataset] cur_step=5452 phase=C_full_covt + +[Dataset] cur_step=5452 phase=C_full_covt + {'loss': '3.004', 'grad_norm': '8.951', 'learning_rate': '1.84e-05', 'epoch': '0.1961'} + 61%|██████████████████▏ | 5452/9000 [3:47:46<3:58:51, 4.04s/it] {'lm_loss': '0.5666', 'visual_loss': '2.609', 'seg_loss': '0.651', 'dino_loss': '0.9163', 'depth_loss': '0.232', 'vggt_mse_loss': '0.2302', 'vggt_cos_loss': '0.01752', 'pidinet_loss': '0.288', 'siglip_loss': '0.522', 'epoch': '0.1961'} + 61%|██████████████████▏ | 5452/9000 [3:47:53<3:58:51, 4.04s/it][Dataset] cur_step=5453 phase=C_full_covt +[Dataset] cur_step=5453 phase=C_full_covt[Dataset] cur_step=5453 phase=C_full_covt + +[Dataset] cur_step=5453 phase=C_full_covt[Dataset] cur_step=5453 phase=C_full_covt + +[Dataset] cur_step=5453 phase=C_full_covt +[Dataset] cur_step=5453 phase=C_full_covt +[Dataset] cur_step=5453 phase=C_full_covt + 61%|██████████████████▏ | 5453/9000 [3:47:55<5:27:05, 5.53s/it] {'loss': '3.095', 'grad_norm': '3.315', 'learning_rate': '1.839e-05', 'epoch': '0.1962'} + 61%|██████████████████▏ | 5453/9000 [3:47:55<5:27:05, 5.53s/it] {'lm_loss': '0.6084', 'visual_loss': '2.879', 'seg_loss': '0.7227', 'dino_loss': '0.9398', 'depth_loss': '0.2151', 'vggt_mse_loss': '0.2135', 'vggt_cos_loss': '0.01612', 'pidinet_loss': '0.2599', 'siglip_loss': '0.7417', 'epoch': '0.1962'} + 61%|██████████████████▏ | 5453/9000 [3:48:02<5:27:05, 5.53s/it][Dataset] cur_step=5454 phase=C_full_covt +[Dataset] cur_step=5454 phase=C_full_covt +[Dataset] cur_step=5454 phase=C_full_covt +[Dataset] cur_step=5454 phase=C_full_covt[Dataset] cur_step=5454 phase=C_full_covt + + 61%|██████████████████▏ | 5454/9000 [3:48:04<6:42:04, 6.80s/it][Dataset] cur_step=5454 phase=C_full_covt +[Dataset] cur_step=5454 phase=C_full_covt +[Dataset] cur_step=5454 phase=C_full_covt + {'loss': '3.16', 'grad_norm': '2.175', 'learning_rate': '1.838e-05', 'epoch': '0.1962'} + 61%|██████████████████▏ | 5454/9000 [3:48:04<6:42:04, 6.80s/it] {'lm_loss': '0.4954', 'visual_loss': '2.756', 'seg_loss': '0.7489', 'dino_loss': '0.916', 'depth_loss': '0.3066', 'vggt_mse_loss': '0.3044', 'vggt_cos_loss': '0.02212', 'pidinet_loss': '0.2892', 'siglip_loss': '0.4958', 'epoch': '0.1962'} + 61%|██████████████████▏ | 5454/9000 [3:48:15<6:42:04, 6.80s/it][Dataset] cur_step=5455 phase=C_full_covt[Dataset] cur_step=5455 phase=C_full_covt + +[Dataset] cur_step=5455 phase=C_full_covt + 61%|██████████████████▏ | 5455/9000 [3:48:17<8:29:41, 8.63s/it][Dataset] cur_step=5455 phase=C_full_covt +[Dataset] cur_step=5455 phase=C_full_covt +[Dataset] cur_step=5455 phase=C_full_covt +[Dataset] cur_step=5455 phase=C_full_covt +[Dataset] cur_step=5455 phase=C_full_covt + {'loss': '3.453', 'grad_norm': '4.099', 'learning_rate': '1.837e-05', 'epoch': '0.1962'} + 61%|██████████████████▏ | 5455/9000 [3:48:17<8:29:41, 8.63s/it] {'lm_loss': '0.4732', 'visual_loss': '2.75', 'seg_loss': '0.6439', 'dino_loss': '0.9152', 'depth_loss': '0.2561', 'vggt_mse_loss': '0.2548', 'vggt_cos_loss': '0.01293', 'pidinet_loss': '0.2857', 'siglip_loss': '0.6491', 'epoch': '0.1962'} + 61%|██████████████████▏ | 5455/9000 [3:48:28<8:29:41, 8.63s/it][Dataset] cur_step=5456 phase=C_full_covt +[Dataset] cur_step=5456 phase=C_full_covt[Dataset] cur_step=5456 phase=C_full_covt + +[Dataset] cur_step=5456 phase=C_full_covt[Dataset] cur_step=5456 phase=C_full_covt + +[Dataset] cur_step=5456 phase=C_full_covt +[Dataset] cur_step=5456 phase=C_full_covt + 61%|█████████████████▌ | 5456/9000 [3:48:31<10:07:14, 10.28s/it][Dataset] cur_step=5456 phase=C_full_covt + {'loss': '3.165', 'grad_norm': '2.176', 'learning_rate': '1.837e-05', 'epoch': '0.1963'} + 61%|█████████████████▌ | 5456/9000 [3:48:31<10:07:14, 10.28s/it] {'lm_loss': '0.527', 'visual_loss': '2.582', 'seg_loss': '0.7028', 'dino_loss': '0.9106', 'depth_loss': '0.3174', 'vggt_mse_loss': '0.3155', 'vggt_cos_loss': '0.01904', 'pidinet_loss': '0.2299', 'siglip_loss': '0.4216', 'epoch': '0.1963'} + 61%|█████████████████▌ | 5456/9000 [3:48:45<10:07:14, 10.28s/it][Dataset] cur_step=5457 phase=C_full_covt +[Dataset] cur_step=5457 phase=C_full_covt 61%|█████████████████▌ | 5457/9000 [3:48:45<11:04:56, 11.26s/it][Dataset] cur_step=5457 phase=C_full_covt + +[Dataset] cur_step=5457 phase=C_full_covt +[Dataset] cur_step=5457 phase=C_full_covt +[Dataset] cur_step=5457 phase=C_full_covt +[Dataset] cur_step=5457 phase=C_full_covt +[Dataset] cur_step=5457 phase=C_full_covt + {'loss': '3.177', 'grad_norm': '2.237', 'learning_rate': '1.836e-05', 'epoch': '0.1963'} + 61%|█████████████████▌ | 5457/9000 [3:48:45<11:04:56, 11.26s/it] {'lm_loss': '0.7625', 'visual_loss': '2.196', 'seg_loss': '0.5497', 'dino_loss': '0.886', 'depth_loss': '0.2039', 'vggt_mse_loss': '0.2027', 'vggt_cos_loss': '0.01171', 'pidinet_loss': '0.1586', 'siglip_loss': '0.398', 'epoch': '0.1963'} + 61%|█████████████████▌ | 5457/9000 [3:48:58<11:04:56, 11.26s/it][Dataset] cur_step=5458 phase=C_full_covt + 61%|█████████████████▌ | 5458/9000 [3:48:58<11:36:25, 11.80s/it][Dataset] cur_step=5458 phase=C_full_covt +[Dataset] cur_step=5458 phase=C_full_covt +[Dataset] cur_step=5458 phase=C_full_covt +[Dataset] cur_step=5458 phase=C_full_covt +[Dataset] cur_step=5458 phase=C_full_covt[Dataset] cur_step=5458 phase=C_full_covt + +[Dataset] cur_step=5458 phase=C_full_covt + {'loss': '3.047', 'grad_norm': '3.346', 'learning_rate': '1.835e-05', 'epoch': '0.1964'} + 61%|█████████████████▌ | 5458/9000 [3:48:58<11:36:25, 11.80s/it] {'lm_loss': '0.2985', 'visual_loss': '2.478', 'seg_loss': '0.6399', 'dino_loss': '0.9096', 'depth_loss': '0.2987', 'vggt_mse_loss': '0.2965', 'vggt_cos_loss': '0.02136', 'pidinet_loss': '0.1941', 'siglip_loss': '0.4358', 'epoch': '0.1964'} + 61%|█████████████████▌ | 5458/9000 [3:49:10<11:36:25, 11.80s/it][Dataset] cur_step=5459 phase=C_full_covt +[Dataset] cur_step=5459 phase=C_full_covt +[Dataset] cur_step=5459 phase=C_full_covt[Dataset] cur_step=5459 phase=C_full_covt + +[Dataset] cur_step=5459 phase=C_full_covt +[Dataset] cur_step=5459 phase=C_full_covt +[Dataset] cur_step=5459 phase=C_full_covt +[Dataset] cur_step=5459 phase=C_full_covt + 61%|█████████████████▌ | 5459/9000 [3:49:10<11:44:48, 11.94s/it] {'loss': '3.165', 'grad_norm': '1.524', 'learning_rate': '1.834e-05', 'epoch': '0.1964'} + 61%|█████████████████▌ | 5459/9000 [3:49:10<11:44:48, 11.94s/it] {'lm_loss': '0.59', 'visual_loss': '2.462', 'seg_loss': '0.7682', 'dino_loss': '0.8972', 'depth_loss': '0.207', 'vggt_mse_loss': '0.2056', 'vggt_cos_loss': '0.01356', 'pidinet_loss': '0.1676', 'siglip_loss': '0.4218', 'epoch': '0.1964'} + 61%|█████████████████▌ | 5459/9000 [3:49:37<11:44:48, 11.94s/it][Dataset] cur_step=5460 phase=C_full_covt + 61%|█████████████████▌ | 5460/9000 [3:49:38<16:20:29, 16.62s/it][Dataset] cur_step=5460 phase=C_full_covt +[Dataset] cur_step=5460 phase=C_full_covt[Dataset] cur_step=5460 phase=C_full_covt + +[Dataset] cur_step=5460 phase=C_full_covt +[Dataset] cur_step=5460 phase=C_full_covt +[Dataset] cur_step=5460 phase=C_full_covt +[Dataset] cur_step=5460 phase=C_full_covt + {'loss': '3.407', 'grad_norm': '2.219', 'learning_rate': '1.833e-05', 'epoch': '0.1964'} + 61%|█████████████████▌ | 5460/9000 [3:49:38<16:20:29, 16.62s/it] {'lm_loss': '0.3713', 'visual_loss': '2.786', 'seg_loss': '0.763', 'dino_loss': '0.9145', 'depth_loss': '0.2606', 'vggt_mse_loss': '0.2587', 'vggt_cos_loss': '0.01944', 'pidinet_loss': '0.253', 'siglip_loss': '0.5945', 'epoch': '0.1964'} + 61%|█████████████████▌ | 5460/9000 [3:49:41<16:20:29, 16.62s/it][Dataset] cur_step=5461 phase=C_full_covt[Dataset] cur_step=5461 phase=C_full_covt + +[Dataset] cur_step=5461 phase=C_full_covt +[Dataset] cur_step=5461 phase=C_full_covt +[Dataset] cur_step=5461 phase=C_full_covt +[Dataset] cur_step=5461 phase=C_full_covt +[Dataset] cur_step=5461 phase=C_full_covt + 61%|█████████████████▌ | 5461/9000 [3:49:58<17:29:26, 17.79s/it][Dataset] cur_step=5461 phase=C_full_covt + {'loss': '3.144', 'grad_norm': '1.516', 'learning_rate': '1.832e-05', 'epoch': '0.1965'} + 61%|█████████████████▌ | 5461/9000 [3:49:58<17:29:26, 17.79s/it] {'lm_loss': '0.5929', 'visual_loss': '2.897', 'seg_loss': '0.8824', 'dino_loss': '0.9284', 'depth_loss': '0.2409', 'vggt_mse_loss': '0.239', 'vggt_cos_loss': '0.01861', 'pidinet_loss': '0.2503', 'siglip_loss': '0.5948', 'epoch': '0.1965'} + 61%|█████████████████▌ | 5461/9000 [3:50:01<17:29:26, 17.79s/it][Dataset] cur_step=5462 phase=C_full_covt +[Dataset] cur_step=5462 phase=C_full_covt +[Dataset] cur_step=5462 phase=C_full_covt +[Dataset] cur_step=5462 phase=C_full_covt +[Dataset] cur_step=5462 phase=C_full_covt + 61%|█████████████████▌ | 5462/9000 [3:50:02<13:19:38, 13.56s/it][Dataset] cur_step=5462 phase=C_full_covt +[Dataset] cur_step=5462 phase=C_full_covt +[Dataset] cur_step=5462 phase=C_full_covt + {'loss': '3.169', 'grad_norm': '2.75', 'learning_rate': '1.831e-05', 'epoch': '0.1965'} + 61%|█████████████████▌ | 5462/9000 [3:50:02<13:19:38, 13.56s/it] {'lm_loss': '0.2352', 'visual_loss': '2.428', 'seg_loss': '0.5782', 'dino_loss': '0.9057', 'depth_loss': '0.3395', 'vggt_mse_loss': '0.3368', 'vggt_cos_loss': '0.02707', 'pidinet_loss': '0.1626', 'siglip_loss': '0.4415', 'epoch': '0.1965'} + 61%|█████████████████▌ | 5462/9000 [3:50:06<13:19:38, 13.56s/it][Dataset] cur_step=5463 phase=C_full_covt +[Dataset] cur_step=5463 phase=C_full_covt[Dataset] cur_step=5463 phase=C_full_covt +[Dataset] cur_step=5463 phase=C_full_covt + + 61%|█████████████████▌ | 5463/9000 [3:50:06<10:32:05, 10.72s/it][Dataset] cur_step=5463 phase=C_full_covt +[Dataset] cur_step=5463 phase=C_full_covt +[Dataset] cur_step=5463 phase=C_full_covt +[Dataset] cur_step=5463 phase=C_full_covt + {'loss': '2.812', 'grad_norm': '1.768', 'learning_rate': '1.83e-05', 'epoch': '0.1965'} + 61%|█████████████████▌ | 5463/9000 [3:50:06<10:32:05, 10.72s/it] {'lm_loss': '0.5124', 'visual_loss': '2.756', 'seg_loss': '0.7324', 'dino_loss': '0.9166', 'depth_loss': '0.3464', 'vggt_mse_loss': '0.3431', 'vggt_cos_loss': '0.03267', 'pidinet_loss': '0.2643', 'siglip_loss': '0.4967', 'epoch': '0.1965'} + 61%|█████████████████▌ | 5463/9000 [3:50:09<10:32:05, 10.72s/it][Dataset] cur_step=5464 phase=C_full_covt +[Dataset] cur_step=5464 phase=C_full_covt +[Dataset] cur_step=5464 phase=C_full_covt +[Dataset] cur_step=5464 phase=C_full_covt +[Dataset] cur_step=5464 phase=C_full_covt +[Dataset] cur_step=5464 phase=C_full_covt +[Dataset] cur_step=5464 phase=C_full_covt + 61%|██████████████████▏ | 5464/9000 [3:50:10<8:33:15, 8.71s/it][Dataset] cur_step=5464 phase=C_full_covt + {'loss': '3.262', 'grad_norm': '1.71', 'learning_rate': '1.829e-05', 'epoch': '0.1966'} + 61%|██████████████████▏ | 5464/9000 [3:50:10<8:33:15, 8.71s/it] {'lm_loss': '0.3874', 'visual_loss': '2.598', 'seg_loss': '0.7298', 'dino_loss': '0.9168', 'depth_loss': '0.3045', 'vggt_mse_loss': '0.3022', 'vggt_cos_loss': '0.02369', 'pidinet_loss': '0.2046', 'siglip_loss': '0.4419', 'epoch': '0.1966'} + 61%|██████████████████▏ | 5464/9000 [3:50:13<8:33:15, 8.71s/it][Dataset] cur_step=5465 phase=C_full_covt +[Dataset] cur_step=5465 phase=C_full_covt +[Dataset] cur_step=5465 phase=C_full_covt[Dataset] cur_step=5465 phase=C_full_covt +[Dataset] cur_step=5465 phase=C_full_covt + +[Dataset] cur_step=5465 phase=C_full_covt 61%|██████████████████▏ | 5465/9000 [3:50:17<7:52:01, 8.01s/it] +[Dataset] cur_step=5465 phase=C_full_covt +[Dataset] cur_step=5465 phase=C_full_covt + {'loss': '3.13', 'grad_norm': '2.562', 'learning_rate': '1.829e-05', 'epoch': '0.1966'} + 61%|██████████████████▏ | 5465/9000 [3:50:17<7:52:01, 8.01s/it] {'lm_loss': '0.3664', 'visual_loss': '2.83', 'seg_loss': '0.7632', 'dino_loss': '0.889', 'depth_loss': '0.2286', 'vggt_mse_loss': '0.2272', 'vggt_cos_loss': '0.01431', 'pidinet_loss': '0.186', 'siglip_loss': '0.7634', 'epoch': '0.1966'} + 61%|██████████████████▏ | 5465/9000 [3:50:20<7:52:01, 8.01s/it][Dataset] cur_step=5466 phase=C_full_covt + 61%|██████████████████▏ | 5466/9000 [3:50:20<6:36:44, 6.74s/it][Dataset] cur_step=5466 phase=C_full_covt +[Dataset] cur_step=5466 phase=C_full_covt +[Dataset] cur_step=5466 phase=C_full_covt +[Dataset] cur_step=5466 phase=C_full_covt +[Dataset] cur_step=5466 phase=C_full_covt +[Dataset] cur_step=5466 phase=C_full_covt +[Dataset] cur_step=5466 phase=C_full_covt + {'loss': '3.343', 'grad_norm': '2.421', 'learning_rate': '1.828e-05', 'epoch': '0.1966'} + 61%|██████████████████▏ | 5466/9000 [3:50:20<6:36:44, 6.74s/it] {'lm_loss': '0.1703', 'visual_loss': '2.702', 'seg_loss': '0.6899', 'dino_loss': '0.9049', 'depth_loss': '0.242', 'vggt_mse_loss': '0.2401', 'vggt_cos_loss': '0.01942', 'pidinet_loss': '0.2006', 'siglip_loss': '0.6645', 'epoch': '0.1966'} + 61%|██████████████████▏ | 5466/9000 [3:50:23<6:36:44, 6.74s/it][Dataset] cur_step=5467 phase=C_full_covt +[Dataset] cur_step=5467 phase=C_full_covt +[Dataset] cur_step=5467 phase=C_full_covt +[Dataset] cur_step=5467 phase=C_full_covt[Dataset] cur_step=5467 phase=C_full_covt + +[Dataset] cur_step=5467 phase=C_full_covt +[Dataset] cur_step=5467 phase=C_full_covt 61%|██████████████████▏ | 5467/9000 [3:50:24<5:49:59, 5.94s/it] +[Dataset] cur_step=5467 phase=C_full_covt + {'loss': '3.022', 'grad_norm': '3.488', 'learning_rate': '1.827e-05', 'epoch': '0.1967'} + 61%|██████████████████▏ | 5467/9000 [3:50:24<5:49:59, 5.94s/it] {'lm_loss': '0.8348', 'visual_loss': '2.935', 'seg_loss': '0.8294', 'dino_loss': '0.92', 'depth_loss': '0.3051', 'vggt_mse_loss': '0.3028', 'vggt_cos_loss': '0.02257', 'pidinet_loss': '0.3121', 'siglip_loss': '0.5688', 'epoch': '0.1967'} + 61%|██████████████████▏ | 5467/9000 [3:50:28<5:49:59, 5.94s/it][Dataset] cur_step=5468 phase=C_full_covt +[Dataset] cur_step=5468 phase=C_full_covt +[Dataset] cur_step=5468 phase=C_full_covt[Dataset] cur_step=5468 phase=C_full_covt + +[Dataset] cur_step=5468 phase=C_full_covt[Dataset] cur_step=5468 phase=C_full_covt + + 61%|██████████████████▏ | 5468/9000 [3:50:29<5:24:54, 5.52s/it][Dataset] cur_step=5468 phase=C_full_covt +[Dataset] cur_step=5468 phase=C_full_covt + {'loss': '3.171', 'grad_norm': '2.195', 'learning_rate': '1.826e-05', 'epoch': '0.1967'} + 61%|██████████████████▏ | 5468/9000 [3:50:29<5:24:54, 5.52s/it] {'lm_loss': '0.01991', 'visual_loss': '2.484', 'seg_loss': '0.6741', 'dino_loss': '0.8619', 'depth_loss': '0.2424', 'vggt_mse_loss': '0.2402', 'vggt_cos_loss': '0.02127', 'pidinet_loss': '0.2278', 'siglip_loss': '0.4774', 'epoch': '0.1967'} + 61%|██████████████████▏ | 5468/9000 [3:50:36<5:24:54, 5.52s/it][Dataset] cur_step=5469 phase=C_full_covt[Dataset] cur_step=5469 phase=C_full_covt +[Dataset] cur_step=5469 phase=C_full_covt + + 61%|██████████████████▏ | 5469/9000 [3:50:43<7:58:37, 8.13s/it][Dataset] cur_step=5469 phase=C_full_covt +[Dataset] cur_step=5469 phase=C_full_covt +[Dataset] cur_step=5469 phase=C_full_covt +[Dataset] cur_step=5469 phase=C_full_covt +[Dataset] cur_step=5469 phase=C_full_covt + {'loss': '3.092', 'grad_norm': '1.862', 'learning_rate': '1.825e-05', 'epoch': '0.1967'} + 61%|██████████████████▏ | 5469/9000 [3:50:43<7:58:37, 8.13s/it] {'lm_loss': '0.3276', 'visual_loss': '2.648', 'seg_loss': '0.706', 'dino_loss': '0.9177', 'depth_loss': '0.2636', 'vggt_mse_loss': '0.2617', 'vggt_cos_loss': '0.01848', 'pidinet_loss': '0.2629', 'siglip_loss': '0.4982', 'epoch': '0.1967'} + 61%|██████████████████▏ | 5469/9000 [3:50:53<7:58:37, 8.13s/it][Dataset] cur_step=5470 phase=C_full_covt +[Dataset] cur_step=5470 phase=C_full_covt +[Dataset] cur_step=5470 phase=C_full_covt +[Dataset] cur_step=5470 phase=C_full_covt +[Dataset] cur_step=5470 phase=C_full_covt +[Dataset] cur_step=5470 phase=C_full_covt[Dataset] cur_step=5470 phase=C_full_covt + + 61%|██████████████████▏ | 5470/9000 [3:50:55<9:04:50, 9.26s/it][Dataset] cur_step=5470 phase=C_full_covt + {'loss': '3.116', 'grad_norm': '2.409', 'learning_rate': '1.824e-05', 'epoch': '0.1968'} + 61%|██████████████████▏ | 5470/9000 [3:50:55<9:04:50, 9.26s/it] {'lm_loss': '0.3963', 'visual_loss': '2.848', 'seg_loss': '0.7957', 'dino_loss': '0.9237', 'depth_loss': '0.3743', 'vggt_mse_loss': '0.3716', 'vggt_cos_loss': '0.02661', 'pidinet_loss': '0.2397', 'siglip_loss': '0.5146', 'epoch': '0.1968'} + 61%|██████████████████▏ | 5470/9000 [3:51:04<9:04:50, 9.26s/it][Dataset] cur_step=5471 phase=C_full_covt +[Dataset] cur_step=5471 phase=C_full_covt +[Dataset] cur_step=5471 phase=C_full_covt +[Dataset] cur_step=5471 phase=C_full_covt +[Dataset] cur_step=5471 phase=C_full_covt + 61%|█████████████████▋ | 5471/9000 [3:51:08<10:04:10, 10.27s/it][Dataset] cur_step=5471 phase=C_full_covt +[Dataset] cur_step=5471 phase=C_full_covt[Dataset] cur_step=5471 phase=C_full_covt + + {'loss': '3.187', 'grad_norm': '1.562', 'learning_rate': '1.823e-05', 'epoch': '0.1968'} + 61%|█████████████████▋ | 5471/9000 [3:51:08<10:04:10, 10.27s/it] {'lm_loss': '0.5099', 'visual_loss': '2.502', 'seg_loss': '0.6362', 'dino_loss': '0.8847', 'depth_loss': '0.1834', 'vggt_mse_loss': '0.1825', 'vggt_cos_loss': '0.009401', 'pidinet_loss': '0.2213', 'siglip_loss': '0.5761', 'epoch': '0.1968'} + 61%|█████████████████▋ | 5471/9000 [3:51:18<10:04:10, 10.27s/it][Dataset] cur_step=5472 phase=C_full_covt +[Dataset] cur_step=5472 phase=C_full_covt[Dataset] cur_step=5472 phase=C_full_covt + + 61%|█████████████████▋ | 5472/9000 [3:51:20<10:46:07, 10.99s/it][Dataset] cur_step=5472 phase=C_full_covt +[Dataset] cur_step=5472 phase=C_full_covt +[Dataset] cur_step=5472 phase=C_full_covt[Dataset] cur_step=5472 phase=C_full_covt + +[Dataset] cur_step=5472 phase=C_full_covt + {'loss': '2.907', 'grad_norm': '2.646', 'learning_rate': '1.822e-05', 'epoch': '0.1969'} + 61%|█████████████████▋ | 5472/9000 [3:51:20<10:46:07, 10.99s/it] {'lm_loss': '0.1834', 'visual_loss': '2.564', 'seg_loss': '0.534', 'dino_loss': '0.8612', 'depth_loss': '0.3048', 'vggt_mse_loss': '0.3029', 'vggt_cos_loss': '0.01912', 'pidinet_loss': '0.2268', 'siglip_loss': '0.6371', 'epoch': '0.1969'} + 61%|█████████████████▋ | 5472/9000 [3:51:31<10:46:07, 10.99s/it][Dataset] cur_step=5473 phase=C_full_covt +[Dataset] cur_step=5473 phase=C_full_covt +[Dataset] cur_step=5473 phase=C_full_covt +[Dataset] cur_step=5473 phase=C_full_covt +[Dataset] cur_step=5473 phase=C_full_covt +[Dataset] cur_step=5473 phase=C_full_covt + 61%|█████████████████▋ | 5473/9000 [3:51:33<11:17:00, 11.52s/it][Dataset] cur_step=5473 phase=C_full_covt +[Dataset] cur_step=5473 phase=C_full_covt + {'loss': '3.039', 'grad_norm': '3.866', 'learning_rate': '1.822e-05', 'epoch': '0.1969'} + 61%|█████████████████▋ | 5473/9000 [3:51:33<11:17:00, 11.52s/it] {'lm_loss': '0.01079', 'visual_loss': '2.164', 'seg_loss': '0.5645', 'dino_loss': '0.8717', 'depth_loss': '0.2292', 'vggt_mse_loss': '0.2279', 'vggt_cos_loss': '0.01238', 'pidinet_loss': '0.1386', 'siglip_loss': '0.3605', 'epoch': '0.1969'} + 61%|█████████████████▋ | 5473/9000 [3:51:44<11:17:00, 11.52s/it][Dataset] cur_step=5474 phase=C_full_covt +[Dataset] cur_step=5474 phase=C_full_covt +[Dataset] cur_step=5474 phase=C_full_covt +[Dataset] cur_step=5474 phase=C_full_covt +[Dataset] cur_step=5474 phase=C_full_covt +[Dataset] cur_step=5474 phase=C_full_covt +[Dataset] cur_step=5474 phase=C_full_covt +[Dataset] cur_step=5474 phase=C_full_covt + 61%|█████████████████▋ | 5474/9000 [3:51:46<11:42:56, 11.96s/it] {'loss': '2.77', 'grad_norm': '1.944', 'learning_rate': '1.821e-05', 'epoch': '0.1969'} + 61%|█████████████████▋ | 5474/9000 [3:51:46<11:42:56, 11.96s/it] {'lm_loss': '0.3746', 'visual_loss': '2.585', 'seg_loss': '0.6694', 'dino_loss': '0.9087', 'depth_loss': '0.3197', 'vggt_mse_loss': '0.3179', 'vggt_cos_loss': '0.01795', 'pidinet_loss': '0.142', 'siglip_loss': '0.5455', 'epoch': '0.1969'} + 61%|█████████████████▋ | 5474/9000 [3:51:56<11:42:56, 11.96s/it][Dataset] cur_step=5475 phase=C_full_covt +[Dataset] cur_step=5475 phase=C_full_covt +[Dataset] cur_step=5475 phase=C_full_covt +[Dataset] cur_step=5475 phase=C_full_covt +[Dataset] cur_step=5475 phase=C_full_covt +[Dataset] cur_step=5475 phase=C_full_covt[Dataset] cur_step=5475 phase=C_full_covt + + 61%|█████████████████▋ | 5475/9000 [3:51:57<11:26:41, 11.69s/it][Dataset] cur_step=5475 phase=C_full_covt + {'loss': '3.181', 'grad_norm': '2.24', 'learning_rate': '1.82e-05', 'epoch': '0.197'} + 61%|█████████████████▋ | 5475/9000 [3:51:57<11:26:41, 11.69s/it] {'lm_loss': '0.3166', 'visual_loss': '2.684', 'seg_loss': '0.7442', 'dino_loss': '0.9584', 'depth_loss': '0.2109', 'vggt_mse_loss': '0.2095', 'vggt_cos_loss': '0.0139', 'pidinet_loss': '0.2413', 'siglip_loss': '0.5295', 'epoch': '0.197'} + 61%|█████████████████▋ | 5475/9000 [3:52:12<11:26:41, 11.69s/it][Dataset] cur_step=5476 phase=C_full_covt +[Dataset] cur_step=5476 phase=C_full_covt +[Dataset] cur_step=5476 phase=C_full_covt +[Dataset] cur_step=5476 phase=C_full_covt +[Dataset] cur_step=5476 phase=C_full_covt +[Dataset] cur_step=5476 phase=C_full_covt[Dataset] cur_step=5476 phase=C_full_covt + +[Dataset] cur_step=5476 phase=C_full_covt + 61%|█████████████████▋ | 5476/9000 [3:52:29<17:18:13, 17.68s/it] {'loss': '3.306', 'grad_norm': '1.815', 'learning_rate': '1.819e-05', 'epoch': '0.197'} + 61%|█████████████████▋ | 5476/9000 [3:52:29<17:18:13, 17.68s/it] {'lm_loss': '0.01101', 'visual_loss': '2.649', 'seg_loss': '0.7515', 'dino_loss': '0.9157', 'depth_loss': '0.2202', 'vggt_mse_loss': '0.2186', 'vggt_cos_loss': '0.01608', 'pidinet_loss': '0.2293', 'siglip_loss': '0.5325', 'epoch': '0.197'} + 61%|█████████████████▋ | 5476/9000 [3:52:32<17:18:13, 17.68s/it][Dataset] cur_step=5477 phase=C_full_covt +[Dataset] cur_step=5477 phase=C_full_covt +[Dataset] cur_step=5477 phase=C_full_covt +[Dataset] cur_step=5477 phase=C_full_covt +[Dataset] cur_step=5477 phase=C_full_covt +[Dataset] cur_step=5477 phase=C_full_covt 61%|█████████████████▋ | 5477/9000 [3:52:35<13:50:48, 14.15s/it] +[Dataset] cur_step=5477 phase=C_full_covt +[Dataset] cur_step=5477 phase=C_full_covt + {'loss': '2.873', 'grad_norm': '1.369', 'learning_rate': '1.818e-05', 'epoch': '0.197'} + 61%|█████████████████▋ | 5477/9000 [3:52:35<13:50:48, 14.15s/it] {'lm_loss': '0.5654', 'visual_loss': '2.574', 'seg_loss': '0.6705', 'dino_loss': '0.9109', 'depth_loss': '0.2483', 'vggt_mse_loss': '0.2467', 'vggt_cos_loss': '0.016', 'pidinet_loss': '0.1817', 'siglip_loss': '0.5628', 'epoch': '0.197'} + 61%|█████████████████▋ | 5477/9000 [3:52:39<13:50:48, 14.15s/it][Dataset] cur_step=5478 phase=C_full_covt + 61%|█████████████████▋ | 5478/9000 [3:52:39<10:56:56, 11.19s/it][Dataset] cur_step=5478 phase=C_full_covt +[Dataset] cur_step=5478 phase=C_full_covt +[Dataset] cur_step=5478 phase=C_full_covt +[Dataset] cur_step=5478 phase=C_full_covt +[Dataset] cur_step=5478 phase=C_full_covt[Dataset] cur_step=5478 phase=C_full_covt + +[Dataset] cur_step=5478 phase=C_full_covt + {'loss': '3.13', 'grad_norm': '1.936', 'learning_rate': '1.817e-05', 'epoch': '0.1971'} + 61%|█████████████████▋ | 5478/9000 [3:52:39<10:56:56, 11.19s/it] {'lm_loss': '0.4316', 'visual_loss': '2.741', 'seg_loss': '0.7494', 'dino_loss': '0.9329', 'depth_loss': '0.3389', 'vggt_mse_loss': '0.3366', 'vggt_cos_loss': '0.02357', 'pidinet_loss': '0.2143', 'siglip_loss': '0.5049', 'epoch': '0.1971'} + 61%|█████████████████▋ | 5478/9000 [3:52:42<10:56:56, 11.19s/it][Dataset] cur_step=5479 phase=C_full_covt +[Dataset] cur_step=5479 phase=C_full_covt +[Dataset] cur_step=5479 phase=C_full_covt[Dataset] cur_step=5479 phase=C_full_covt + +[Dataset] cur_step=5479 phase=C_full_covt +[Dataset] cur_step=5479 phase=C_full_covt + 61%|██████████████████▎ | 5479/9000 [3:52:43<8:51:51, 9.06s/it][Dataset] cur_step=5479 phase=C_full_covt +[Dataset] cur_step=5479 phase=C_full_covt + {'loss': '3.315', 'grad_norm': '5.384', 'learning_rate': '1.816e-05', 'epoch': '0.1971'} + 61%|██████████████████▎ | 5479/9000 [3:52:43<8:51:51, 9.06s/it] {'lm_loss': '0.1864', 'visual_loss': '2.696', 'seg_loss': '0.6652', 'dino_loss': '0.9086', 'depth_loss': '0.2613', 'vggt_mse_loss': '0.259', 'vggt_cos_loss': '0.02221', 'pidinet_loss': '0.2679', 'siglip_loss': '0.5935', 'epoch': '0.1971'} + 61%|██████████████████▎ | 5479/9000 [3:52:46<8:51:51, 9.06s/it][Dataset] cur_step=5480 phase=C_full_covt +[Dataset] cur_step=5480 phase=C_full_covt[Dataset] cur_step=5480 phase=C_full_covt + +[Dataset] cur_step=5480 phase=C_full_covt +[Dataset] cur_step=5480 phase=C_full_covt[Dataset] cur_step=5480 phase=C_full_covt + +[Dataset] cur_step=5480 phase=C_full_covt +[Dataset] cur_step=5480 phase=C_full_covt + 61%|██████████████████▎ | 5480/9000 [3:52:47<7:17:39, 7.46s/it] {'loss': '3.211', 'grad_norm': '1.758', 'learning_rate': '1.815e-05', 'epoch': '0.1971'} + 61%|██████████████████▎ | 5480/9000 [3:52:47<7:17:39, 7.46s/it] {'lm_loss': '0.3842', 'visual_loss': '2.698', 'seg_loss': '0.6929', 'dino_loss': '0.9127', 'depth_loss': '0.2897', 'vggt_mse_loss': '0.288', 'vggt_cos_loss': '0.01784', 'pidinet_loss': '0.2292', 'siglip_loss': '0.573', 'epoch': '0.1971'} + 61%|██████████████████▎ | 5480/9000 [3:52:51<7:17:39, 7.46s/it][Dataset] cur_step=5481 phase=C_full_covt + 61%|██████████████████▎ | 5481/9000 [3:52:51<6:18:58, 6.46s/it][Dataset] cur_step=5481 phase=C_full_covt +[Dataset] cur_step=5481 phase=C_full_covt +[Dataset] cur_step=5481 phase=C_full_covt +[Dataset] cur_step=5481 phase=C_full_covt[Dataset] cur_step=5481 phase=C_full_covt +[Dataset] cur_step=5481 phase=C_full_covt + +[Dataset] cur_step=5481 phase=C_full_covt + {'loss': '3.332', 'grad_norm': '2.018', 'learning_rate': '1.814e-05', 'epoch': '0.1972'} + 61%|██████████████████▎ | 5481/9000 [3:52:51<6:18:58, 6.46s/it] {'lm_loss': '0.7466', 'visual_loss': '2.771', 'seg_loss': '0.8493', 'dino_loss': '0.8989', 'depth_loss': '0.177', 'vggt_mse_loss': '0.1757', 'vggt_cos_loss': '0.0134', 'pidinet_loss': '0.2447', 'siglip_loss': '0.6015', 'epoch': '0.1972'} + 61%|██████████████████▎ | 5481/9000 [3:52:54<6:18:58, 6.46s/it][Dataset] cur_step=5482 phase=C_full_covt +[Dataset] cur_step=5482 phase=C_full_covt +[Dataset] cur_step=5482 phase=C_full_covt +[Dataset] cur_step=5482 phase=C_full_covt +[Dataset] cur_step=5482 phase=C_full_covt +[Dataset] cur_step=5482 phase=C_full_covt +[Dataset] cur_step=5482 phase=C_full_covt + 61%|██████████████████▎ | 5482/9000 [3:52:55<5:35:07, 5.72s/it][Dataset] cur_step=5482 phase=C_full_covt + {'loss': '3.104', 'grad_norm': '2.518', 'learning_rate': '1.814e-05', 'epoch': '0.1972'} + 61%|██████████████████▎ | 5482/9000 [3:52:55<5:35:07, 5.72s/it] {'lm_loss': '0.2072', 'visual_loss': '3.041', 'seg_loss': '0.7553', 'dino_loss': '0.9473', 'depth_loss': '0.4739', 'vggt_mse_loss': '0.4708', 'vggt_cos_loss': '0.03125', 'pidinet_loss': '0.2514', 'siglip_loss': '0.6134', 'epoch': '0.1972'} + 61%|██████████████████▎ | 5482/9000 [3:52:59<5:35:07, 5.72s/it][Dataset] cur_step=5483 phase=C_full_covt + 61%|██████████████████▎ | 5483/9000 [3:52:59<5:04:21, 5.19s/it][Dataset] cur_step=5483 phase=C_full_covt[Dataset] cur_step=5483 phase=C_full_covt + +[Dataset] cur_step=5483 phase=C_full_covt +[Dataset] cur_step=5483 phase=C_full_covt +[Dataset] cur_step=5483 phase=C_full_covt +[Dataset] cur_step=5483 phase=C_full_covt +[Dataset] cur_step=5483 phase=C_full_covt + {'loss': '3.239', 'grad_norm': '1.951', 'learning_rate': '1.813e-05', 'epoch': '0.1973'} + 61%|██████████████████▎ | 5483/9000 [3:52:59<5:04:21, 5.19s/it] {'lm_loss': '0.002916', 'visual_loss': '2.711', 'seg_loss': '0.7631', 'dino_loss': '0.8876', 'depth_loss': '0.2656', 'vggt_mse_loss': '0.2638', 'vggt_cos_loss': '0.01738', 'pidinet_loss': '0.2439', 'siglip_loss': '0.551', 'epoch': '0.1973'} + 61%|██████████████████▎ | 5483/9000 [3:53:02<5:04:21, 5.19s/it][Dataset] cur_step=5484 phase=C_full_covt +[Dataset] cur_step=5484 phase=C_full_covt[Dataset] cur_step=5484 phase=C_full_covt + +[Dataset] cur_step=5484 phase=C_full_covt + 61%|██████████████████▎ | 5484/9000 [3:53:03<4:41:48, 4.81s/it][Dataset] cur_step=5484 phase=C_full_covt +[Dataset] cur_step=5484 phase=C_full_covt[Dataset] cur_step=5484 phase=C_full_covt + +[Dataset] cur_step=5484 phase=C_full_covt + {'loss': '3.236', 'grad_norm': '2.416', 'learning_rate': '1.812e-05', 'epoch': '0.1973'} + 61%|██████████████████▎ | 5484/9000 [3:53:03<4:41:48, 4.81s/it] {'lm_loss': '0.9722', 'visual_loss': '2.983', 'seg_loss': '0.7884', 'dino_loss': '0.9375', 'depth_loss': '0.4514', 'vggt_mse_loss': '0.4478', 'vggt_cos_loss': '0.03527', 'pidinet_loss': '0.2293', 'siglip_loss': '0.5759', 'epoch': '0.1973'} + 61%|██████████████████▎ | 5484/9000 [3:53:06<4:41:48, 4.81s/it][Dataset] cur_step=5485 phase=C_full_covt[Dataset] cur_step=5485 phase=C_full_covt[Dataset] cur_step=5485 phase=C_full_covt + + +[Dataset] cur_step=5485 phase=C_full_covt +[Dataset] cur_step=5485 phase=C_full_covt +[Dataset] cur_step=5485 phase=C_full_covt 61%|██████████████████▎ | 5485/9000 [3:53:07<4:32:37, 4.65s/it] +[Dataset] cur_step=5485 phase=C_full_covt +[Dataset] cur_step=5485 phase=C_full_covt + {'loss': '3.314', 'grad_norm': '1.8', 'learning_rate': '1.811e-05', 'epoch': '0.1973'} + 61%|██████████████████▎ | 5485/9000 [3:53:07<4:32:37, 4.65s/it] {'lm_loss': '0.2672', 'visual_loss': '2.956', 'seg_loss': '0.7829', 'dino_loss': '0.932', 'depth_loss': '0.366', 'vggt_mse_loss': '0.3641', 'vggt_cos_loss': '0.01953', 'pidinet_loss': '0.2937', 'siglip_loss': '0.5813', 'epoch': '0.1973'} + 61%|██████████████████▎ | 5485/9000 [3:53:11<4:32:37, 4.65s/it][Dataset] cur_step=5486 phase=C_full_covt +[Dataset] cur_step=5486 phase=C_full_covt +[Dataset] cur_step=5486 phase=C_full_covt 61%|██████████████████▎ | 5486/9000 [3:53:11<4:21:17, 4.46s/it] +[Dataset] cur_step=5486 phase=C_full_covt +[Dataset] cur_step=5486 phase=C_full_covt +[Dataset] cur_step=5486 phase=C_full_covt +[Dataset] cur_step=5486 phase=C_full_covt +[Dataset] cur_step=5486 phase=C_full_covt + {'loss': '3.068', 'grad_norm': '1.343', 'learning_rate': '1.81e-05', 'epoch': '0.1974'} + 61%|██████████████████▎ | 5486/9000 [3:53:11<4:21:17, 4.46s/it] {'lm_loss': '0.1426', 'visual_loss': '2.679', 'seg_loss': '0.6922', 'dino_loss': '0.9137', 'depth_loss': '0.3209', 'vggt_mse_loss': '0.3186', 'vggt_cos_loss': '0.02293', 'pidinet_loss': '0.2335', 'siglip_loss': '0.5188', 'epoch': '0.1974'} + 61%|██████████████████▎ | 5486/9000 [3:53:14<4:21:17, 4.46s/it][Dataset] cur_step=5487 phase=C_full_covt +[Dataset] cur_step=5487 phase=C_full_covt +[Dataset] cur_step=5487 phase=C_full_covt +[Dataset] cur_step=5487 phase=C_full_covt +[Dataset] cur_step=5487 phase=C_full_covt +[Dataset] cur_step=5487 phase=C_full_covt + 61%|██████████████████▎ | 5487/9000 [3:53:16<4:27:15, 4.56s/it][Dataset] cur_step=5487 phase=C_full_covt +[Dataset] cur_step=5487 phase=C_full_covt + {'loss': '3.119', 'grad_norm': '1.762', 'learning_rate': '1.809e-05', 'epoch': '0.1974'} + 61%|██████████████████▎ | 5487/9000 [3:53:16<4:27:15, 4.56s/it] {'lm_loss': '0.009444', 'visual_loss': '2.685', 'seg_loss': '0.8249', 'dino_loss': '0.9188', 'depth_loss': '0.3183', 'vggt_mse_loss': '0.3159', 'vggt_cos_loss': '0.0241', 'pidinet_loss': '0.1967', 'siglip_loss': '0.4265', 'epoch': '0.1974'} + 61%|██████████████████▎ | 5487/9000 [3:53:19<4:27:15, 4.56s/it][Dataset] cur_step=5488 phase=C_full_covt +[Dataset] cur_step=5488 phase=C_full_covt +[Dataset] cur_step=5488 phase=C_full_covt[Dataset] cur_step=5488 phase=C_full_covt + +[Dataset] cur_step=5488 phase=C_full_covt 61%|██████████████████▎ | 5488/9000 [3:53:20<4:17:03, 4.39s/it] +[Dataset] cur_step=5488 phase=C_full_covt[Dataset] cur_step=5488 phase=C_full_covt + +[Dataset] cur_step=5488 phase=C_full_covt + {'loss': '2.976', 'grad_norm': '2.36', 'learning_rate': '1.808e-05', 'epoch': '0.1974'} + 61%|██████████████████▎ | 5488/9000 [3:53:20<4:17:03, 4.39s/it] {'lm_loss': '0.3842', 'visual_loss': '2.903', 'seg_loss': '0.6411', 'dino_loss': '0.8739', 'depth_loss': '0.5921', 'vggt_mse_loss': '0.5877', 'vggt_cos_loss': '0.04336', 'pidinet_loss': '0.2333', 'siglip_loss': '0.563', 'epoch': '0.1974'} + 61%|██████████████████▎ | 5488/9000 [3:53:23<4:17:03, 4.39s/it][Dataset] cur_step=5489 phase=C_full_covt[Dataset] cur_step=5489 phase=C_full_covt +[Dataset] cur_step=5489 phase=C_full_covt + + 61%|██████████████████▎ | 5489/9000 [3:53:24<4:06:43, 4.22s/it][Dataset] cur_step=5489 phase=C_full_covt +[Dataset] cur_step=5489 phase=C_full_covt +[Dataset] cur_step=5489 phase=C_full_covt +[Dataset] cur_step=5489 phase=C_full_covt[Dataset] cur_step=5489 phase=C_full_covt + + {'loss': '3.104', 'grad_norm': '3.513', 'learning_rate': '1.807e-05', 'epoch': '0.1975'} + 61%|██████████████████▎ | 5489/9000 [3:53:24<4:06:43, 4.22s/it] {'lm_loss': '0.3097', 'visual_loss': '2.595', 'seg_loss': '0.7484', 'dino_loss': '0.8897', 'depth_loss': '0.2553', 'vggt_mse_loss': '0.2537', 'vggt_cos_loss': '0.01566', 'pidinet_loss': '0.191', 'siglip_loss': '0.5103', 'epoch': '0.1975'} + 61%|██████████████████▎ | 5489/9000 [3:53:27<4:06:43, 4.22s/it][Dataset] cur_step=5490 phase=C_full_covt +[Dataset] cur_step=5490 phase=C_full_covt +[Dataset] cur_step=5490 phase=C_full_covt +[Dataset] cur_step=5490 phase=C_full_covt +[Dataset] cur_step=5490 phase=C_full_covt +[Dataset] cur_step=5490 phase=C_full_covt + 61%|██████████████████▎ | 5490/9000 [3:53:28<4:04:21, 4.18s/it][Dataset] cur_step=5490 phase=C_full_covt +[Dataset] cur_step=5490 phase=C_full_covt + {'loss': '2.941', 'grad_norm': '2.788', 'learning_rate': '1.806e-05', 'epoch': '0.1975'} + 61%|██████████████████▎ | 5490/9000 [3:53:28<4:04:21, 4.18s/it] {'lm_loss': '0.3225', 'visual_loss': '2.808', 'seg_loss': '0.7746', 'dino_loss': '0.9182', 'depth_loss': '0.2919', 'vggt_mse_loss': '0.2897', 'vggt_cos_loss': '0.02269', 'pidinet_loss': '0.2285', 'siglip_loss': '0.5944', 'epoch': '0.1975'} + 61%|██████████████████▎ | 5490/9000 [3:53:31<4:04:21, 4.18s/it][Dataset] cur_step=5491 phase=C_full_covt +[Dataset] cur_step=5491 phase=C_full_covt +[Dataset] cur_step=5491 phase=C_full_covt[Dataset] cur_step=5491 phase=C_full_covt + +[Dataset] cur_step=5491 phase=C_full_covt +[Dataset] cur_step=5491 phase=C_full_covt +[Dataset] cur_step=5491 phase=C_full_covt + 61%|██████████████████▎ | 5491/9000 [3:53:32<4:10:08, 4.28s/it][Dataset] cur_step=5491 phase=C_full_covt + {'loss': '3.033', 'grad_norm': '2.498', 'learning_rate': '1.806e-05', 'epoch': '0.1975'} + 61%|██████████████████▎ | 5491/9000 [3:53:32<4:10:08, 4.28s/it] {'lm_loss': '0.5156', 'visual_loss': '2.68', 'seg_loss': '0.6722', 'dino_loss': '0.9306', 'depth_loss': '0.257', 'vggt_mse_loss': '0.2553', 'vggt_cos_loss': '0.01683', 'pidinet_loss': '0.2392', 'siglip_loss': '0.5813', 'epoch': '0.1975'} + 61%|██████████████████▎ | 5491/9000 [3:53:35<4:10:08, 4.28s/it][Dataset] cur_step=5492 phase=C_full_covt[Dataset] cur_step=5492 phase=C_full_covt + +[Dataset] cur_step=5492 phase=C_full_covt 61%|██████████████████▎ | 5492/9000 [3:53:36<4:00:26, 4.11s/it] +[Dataset] cur_step=5492 phase=C_full_covt[Dataset] cur_step=5492 phase=C_full_covt + +[Dataset] cur_step=5492 phase=C_full_covt +[Dataset] cur_step=5492 phase=C_full_covt +[Dataset] cur_step=5492 phase=C_full_covt + {'loss': '3.159', 'grad_norm': '3.792', 'learning_rate': '1.805e-05', 'epoch': '0.1976'} + 61%|██████████████████▎ | 5492/9000 [3:53:36<4:00:26, 4.11s/it] {'lm_loss': '0.1774', 'visual_loss': '2.848', 'seg_loss': '0.7826', 'dino_loss': '0.9345', 'depth_loss': '0.3295', 'vggt_mse_loss': '0.3267', 'vggt_cos_loss': '0.02838', 'pidinet_loss': '0.2357', 'siglip_loss': '0.5659', 'epoch': '0.1976'} + 61%|██████████████████▎ | 5492/9000 [3:53:39<4:00:26, 4.11s/it][Dataset] cur_step=5493 phase=C_full_covt +[Dataset] cur_step=5493 phase=C_full_covt +[Dataset] cur_step=5493 phase=C_full_covt +[Dataset] cur_step=5493 phase=C_full_covt + 61%|██████████████████▎ | 5493/9000 [3:53:40<3:55:48, 4.03s/it][Dataset] cur_step=5493 phase=C_full_covt +[Dataset] cur_step=5493 phase=C_full_covt +[Dataset] cur_step=5493 phase=C_full_covt +[Dataset] cur_step=5493 phase=C_full_covt + {'loss': '3.046', 'grad_norm': '2.477', 'learning_rate': '1.804e-05', 'epoch': '0.1976'} + 61%|██████████████████▎ | 5493/9000 [3:53:40<3:55:48, 4.03s/it] {'lm_loss': '0.002691', 'visual_loss': '2.601', 'seg_loss': '0.8348', 'dino_loss': '0.8734', 'depth_loss': '0.2091', 'vggt_mse_loss': '0.208', 'vggt_cos_loss': '0.01111', 'pidinet_loss': '0.1933', 'siglip_loss': '0.49', 'epoch': '0.1976'} + 61%|██████████████████▎ | 5493/9000 [3:53:43<3:55:48, 4.03s/it][Dataset] cur_step=5494 phase=C_full_covt +[Dataset] cur_step=5494 phase=C_full_covt +[Dataset] cur_step=5494 phase=C_full_covt[Dataset] cur_step=5494 phase=C_full_covt + +[Dataset] cur_step=5494 phase=C_full_covt +[Dataset] cur_step=5494 phase=C_full_covt +[Dataset] cur_step=5494 phase=C_full_covt +[Dataset] cur_step=5494 phase=C_full_covt + 61%|██████████████████▎ | 5494/9000 [3:53:44<3:54:22, 4.01s/it] {'loss': '2.997', 'grad_norm': '2.177', 'learning_rate': '1.803e-05', 'epoch': '0.1976'} + 61%|██████████████████▎ | 5494/9000 [3:53:44<3:54:22, 4.01s/it] {'lm_loss': '0.949', 'visual_loss': '2.905', 'seg_loss': '0.7361', 'dino_loss': '0.9257', 'depth_loss': '0.3187', 'vggt_mse_loss': '0.3161', 'vggt_cos_loss': '0.02581', 'pidinet_loss': '0.2568', 'siglip_loss': '0.6679', 'epoch': '0.1976'} + 61%|██████████████████▎ | 5494/9000 [3:53:47<3:54:22, 4.01s/it][Dataset] cur_step=5495 phase=C_full_covt +[Dataset] cur_step=5495 phase=C_full_covt +[Dataset] cur_step=5495 phase=C_full_covt + 61%|██████████████████▎ | 5495/9000 [3:53:48<3:55:11, 4.03s/it][Dataset] cur_step=5495 phase=C_full_covt +[Dataset] cur_step=5495 phase=C_full_covt +[Dataset] cur_step=5495 phase=C_full_covt +[Dataset] cur_step=5495 phase=C_full_covt +[Dataset] cur_step=5495 phase=C_full_covt + {'loss': '3.492', 'grad_norm': '6.085', 'learning_rate': '1.802e-05', 'epoch': '0.1977'} + 61%|██████████████████▎ | 5495/9000 [3:53:48<3:55:11, 4.03s/it] {'lm_loss': '0.3783', 'visual_loss': '2.846', 'seg_loss': '0.7451', 'dino_loss': '0.9377', 'depth_loss': '0.2139', 'vggt_mse_loss': '0.2123', 'vggt_cos_loss': '0.0167', 'pidinet_loss': '0.2233', 'siglip_loss': '0.7255', 'epoch': '0.1977'} + 61%|██████████████████▎ | 5495/9000 [3:53:51<3:55:11, 4.03s/it][Dataset] cur_step=5496 phase=C_full_covt[Dataset] cur_step=5496 phase=C_full_covt + +[Dataset] cur_step=5496 phase=C_full_covt +[Dataset] cur_step=5496 phase=C_full_covt[Dataset] cur_step=5496 phase=C_full_covt + +[Dataset] cur_step=5496 phase=C_full_covt + 61%|██████████████████▎ | 5496/9000 [3:53:52<3:52:14, 3.98s/it][Dataset] cur_step=5496 phase=C_full_covt +[Dataset] cur_step=5496 phase=C_full_covt + {'loss': '3.151', 'grad_norm': '3.022', 'learning_rate': '1.801e-05', 'epoch': '0.1977'} + 61%|██████████████████▎ | 5496/9000 [3:53:52<3:52:14, 3.98s/it] {'lm_loss': '0.4338', 'visual_loss': '2.815', 'seg_loss': '0.7432', 'dino_loss': '0.9248', 'depth_loss': '0.249', 'vggt_mse_loss': '0.2471', 'vggt_cos_loss': '0.01912', 'pidinet_loss': '0.2387', 'siglip_loss': '0.6596', 'epoch': '0.1977'} + 61%|██████████████████▎ | 5496/9000 [3:53:55<3:52:14, 3.98s/it][Dataset] cur_step=5497 phase=C_full_covt +[Dataset] cur_step=5497 phase=C_full_covt[Dataset] cur_step=5497 phase=C_full_covt + +[Dataset] cur_step=5497 phase=C_full_covt[Dataset] cur_step=5497 phase=C_full_covt + +[Dataset] cur_step=5497 phase=C_full_covt +[Dataset] cur_step=5497 phase=C_full_covt +[Dataset] cur_step=5497 phase=C_full_covt + 61%|██████████████████▎ | 5497/9000 [3:53:56<3:49:29, 3.93s/it] {'loss': '3.128', 'grad_norm': '3.092', 'learning_rate': '1.8e-05', 'epoch': '0.1978'} + 61%|██████████████████▎ | 5497/9000 [3:53:56<3:49:29, 3.93s/it] {'lm_loss': '1.072', 'visual_loss': '2.844', 'seg_loss': '0.8322', 'dino_loss': '0.9176', 'depth_loss': '0.2434', 'vggt_mse_loss': '0.2415', 'vggt_cos_loss': '0.01912', 'pidinet_loss': '0.2602', 'siglip_loss': '0.5903', 'epoch': '0.1978'} + 61%|██████████████████▎ | 5497/9000 [3:54:00<3:49:29, 3.93s/it][Dataset] cur_step=5498 phase=C_full_covt[Dataset] cur_step=5498 phase=C_full_covt + +[Dataset] cur_step=5498 phase=C_full_covt +[Dataset] cur_step=5498 phase=C_full_covt +[Dataset] cur_step=5498 phase=C_full_covt +[Dataset] cur_step=5498 phase=C_full_covt + 61%|██████████████████▎ | 5498/9000 [3:54:01<4:08:38, 4.26s/it][Dataset] cur_step=5498 phase=C_full_covt +[Dataset] cur_step=5498 phase=C_full_covt + {'loss': '3.179', 'grad_norm': '1.612', 'learning_rate': '1.799e-05', 'epoch': '0.1978'} + 61%|██████████████████▎ | 5498/9000 [3:54:01<4:08:38, 4.26s/it] {'lm_loss': '0.002', 'visual_loss': '2.712', 'seg_loss': '0.6906', 'dino_loss': '0.927', 'depth_loss': '0.2501', 'vggt_mse_loss': '0.2482', 'vggt_cos_loss': '0.0193', 'pidinet_loss': '0.1951', 'siglip_loss': '0.6491', 'epoch': '0.1978'} + 61%|██████████████████▎ | 5498/9000 [3:54:05<4:08:38, 4.26s/it][Dataset] cur_step=5499 phase=C_full_covt +[Dataset] cur_step=5499 phase=C_full_covt +[Dataset] cur_step=5499 phase=C_full_covt +[Dataset] cur_step=5499 phase=C_full_covt + 61%|██████████████████▎ | 5499/9000 [3:54:06<4:32:02, 4.66s/it][Dataset] cur_step=5499 phase=C_full_covt +[Dataset] cur_step=5499 phase=C_full_covt +[Dataset] cur_step=5499 phase=C_full_covt +[Dataset] cur_step=5499 phase=C_full_covt + {'loss': '3.241', 'grad_norm': '4.048', 'learning_rate': '1.799e-05', 'epoch': '0.1978'} + 61%|██████████████████▎ | 5499/9000 [3:54:06<4:32:02, 4.66s/it] {'lm_loss': '0.5118', 'visual_loss': '2.682', 'seg_loss': '0.799', 'dino_loss': '0.9216', 'depth_loss': '0.2', 'vggt_mse_loss': '0.1986', 'vggt_cos_loss': '0.01437', 'pidinet_loss': '0.244', 'siglip_loss': '0.5172', 'epoch': '0.1978'} + 61%|██████████████████▎ | 5499/9000 [3:54:09<4:32:02, 4.66s/it][Dataset] cur_step=5500 phase=C_full_covt +[Dataset] cur_step=5500 phase=C_full_covt[Dataset] cur_step=5500 phase=C_full_covt[Dataset] cur_step=5500 phase=C_full_covt + + +[Dataset] cur_step=5500 phase=C_full_covt +[Dataset] cur_step=5500 phase=C_full_covt +[Dataset] cur_step=5500 phase=C_full_covt +[Dataset] cur_step=5500 phase=C_full_covt +[cvbench] step=5500 metrics={"eval/cvbench_2d_accuracy": 0.764, "eval/cvbench_2d_count_accuracy": 0.6642335766423357, "eval/cvbench_2d_relation_accuracy": 0.8849557522123894, "eval/cvbench_2d_task_macro_accuracy": 0.7745946644273626, "eval/cvbench_3d_accuracy": 0.884, "eval/cvbench_3d_depth_accuracy": 0.936, "eval/cvbench_3d_distance_accuracy": 0.832, "eval/cvbench_3d_task_macro_accuracy": 0.884, "eval/cvbench_accuracy": 0.824, "eval/cvbench_covt_answer_tag_rate": 0.998, "eval/cvbench_covt_any_anchor_rate": 1.0, "eval/cvbench_covt_depth_tokens_mean": 4.0, "eval/cvbench_covt_dino_tokens_mean": 4.0, "eval/cvbench_covt_pidinet_tokens_mean": 4.0, "eval/cvbench_covt_sam_tokens_mean": 8.0, "eval/cvbench_covt_siglip_tokens_mean": 4.0, "eval/cvbench_covt_think_rate": 0.992, "eval/cvbench_errors": 0.0, "eval/cvbench_parse_rate": 0.998, "eval/cvbench_samples": 500.0, "eval/cvbench_seconds": 301.19169573578984, "eval/cvbench_task_macro_accuracy": 0.8292973322136813} + 61%|█████████████████▋ | 5500/9000 [3:59:11<92:12:08, 94.84s/it] {'loss': '3.203', 'grad_norm': '2.091', 'learning_rate': '1.798e-05', 'epoch': '0.1979'} + 61%|█████████████████▋ | 5500/9000 [3:59:11<92:12:08, 94.84s/it] {'lm_loss': '0.008423', 'visual_loss': '2.526', 'seg_loss': '0.6063', 'dino_loss': '0.9005', 'depth_loss': '0.2521', 'vggt_mse_loss': '0.2507', 'vggt_cos_loss': '0.01379', 'pidinet_loss': '0.2671', 'siglip_loss': '0.5002', 'epoch': '0.1979'} + 61%|█████████████████▋ | 5500/9000 [3:59:14<92:12:08, 94.84s/it][Dataset] cur_step=5501 phase=C_full_covt +[Dataset] cur_step=5501 phase=C_full_covt +[Dataset] cur_step=5501 phase=C_full_covt +[Dataset] cur_step=5501 phase=C_full_covt +[Dataset] cur_step=5501 phase=C_full_covt +[Dataset] cur_step=5501 phase=C_full_covt +[Dataset] cur_step=5501 phase=C_full_covt[Dataset] cur_step=5501 phase=C_full_covt 61%|█████████████████▋ | 5501/9000 [3:59:16<65:43:56, 67.63s/it] + + {'loss': '3.07', 'grad_norm': '1.789', 'learning_rate': '1.797e-05', 'epoch': '0.1979'} + 61%|█████████████████▋ | 5501/9000 [3:59:16<65:43:56, 67.63s/it] {'lm_loss': '0.8687', 'visual_loss': '2.67', 'seg_loss': '0.6807', 'dino_loss': '0.8969', 'depth_loss': '0.2389', 'vggt_mse_loss': '0.2371', 'vggt_cos_loss': '0.01787', 'pidinet_loss': '0.2999', 'siglip_loss': '0.5532', 'epoch': '0.1979'} + 61%|█████████████████▋ | 5501/9000 [3:59:19<65:43:56, 67.63s/it][Dataset] cur_step=5502 phase=C_full_covt +[Dataset] cur_step=5502 phase=C_full_covt +[Dataset] cur_step=5502 phase=C_full_covt +[Dataset] cur_step=5502 phase=C_full_covt +[Dataset] cur_step=5502 phase=C_full_covt +[Dataset] cur_step=5502 phase=C_full_covt + 61%|█████████████████▋ | 5502/9000 [3:59:19<47:05:51, 48.47s/it][Dataset] cur_step=5502 phase=C_full_covt +[Dataset] cur_step=5502 phase=C_full_covt + {'loss': '3.496', 'grad_norm': '3.467', 'learning_rate': '1.796e-05', 'epoch': '0.1979'} + 61%|█████████████████▋ | 5502/9000 [3:59:19<47:05:51, 48.47s/it] {'lm_loss': '0.03346', 'visual_loss': '2.526', 'seg_loss': '0.8039', 'dino_loss': '0.9139', 'depth_loss': '0.2053', 'vggt_mse_loss': '0.2039', 'vggt_cos_loss': '0.01364', 'pidinet_loss': '0.2245', 'siglip_loss': '0.3789', 'epoch': '0.1979'} + 61%|█████████████████▋ | 5502/9000 [3:59:23<47:05:51, 48.47s/it][Dataset] cur_step=5503 phase=C_full_covt +[Dataset] cur_step=5503 phase=C_full_covt +[Dataset] cur_step=5503 phase=C_full_covt 61%|█████████████████▋ | 5503/9000 [3:59:23<34:05:08, 35.09s/it] +[Dataset] cur_step=5503 phase=C_full_covt[Dataset] cur_step=5503 phase=C_full_covt + +[Dataset] cur_step=5503 phase=C_full_covt +[Dataset] cur_step=5503 phase=C_full_covt +[Dataset] cur_step=5503 phase=C_full_covt + {'loss': '3.156', 'grad_norm': '2.394', 'learning_rate': '1.795e-05', 'epoch': '0.198'} + 61%|█████████████████▋ | 5503/9000 [3:59:23<34:05:08, 35.09s/it] {'lm_loss': '0.008118', 'visual_loss': '2.092', 'seg_loss': '0.634', 'dino_loss': '0.8653', 'depth_loss': '0.2355', 'vggt_mse_loss': '0.2347', 'vggt_cos_loss': '0.008213', 'pidinet_loss': '0.1222', 'siglip_loss': '0.2346', 'epoch': '0.198'} + 61%|█████████████████▋ | 5503/9000 [3:59:27<34:05:08, 35.09s/it][Dataset] cur_step=5504 phase=C_full_covt +[Dataset] cur_step=5504 phase=C_full_covt +[Dataset] cur_step=5504 phase=C_full_covt[Dataset] cur_step=5504 phase=C_full_covt + +[Dataset] cur_step=5504 phase=C_full_covt +[Dataset] cur_step=5504 phase=C_full_covt 61%|█████████████████▋ | 5504/9000 [3:59:28<25:06:35, 25.86s/it] +[Dataset] cur_step=5504 phase=C_full_covt +[Dataset] cur_step=5504 phase=C_full_covt + {'loss': '2.868', 'grad_norm': '1.278', 'learning_rate': '1.794e-05', 'epoch': '0.198'} + 61%|█████████████████▋ | 5504/9000 [3:59:28<25:06:35, 25.86s/it] {'lm_loss': '0.01461', 'visual_loss': '2.53', 'seg_loss': '0.738', 'dino_loss': '0.9019', 'depth_loss': '0.2523', 'vggt_mse_loss': '0.2505', 'vggt_cos_loss': '0.0179', 'pidinet_loss': '0.2227', 'siglip_loss': '0.4146', 'epoch': '0.198'} + 61%|█████████████████▋ | 5504/9000 [3:59:31<25:06:35, 25.86s/it][Dataset] cur_step=5505 phase=C_full_covt +[Dataset] cur_step=5505 phase=C_full_covt +[Dataset] cur_step=5505 phase=C_full_covt +[Dataset] cur_step=5505 phase=C_full_covt +[Dataset] cur_step=5505 phase=C_full_covt + 61%|█████████████████▋ | 5505/9000 [3:59:31<18:41:46, 19.26s/it][Dataset] cur_step=5505 phase=C_full_covt +[Dataset] cur_step=5505 phase=C_full_covt +[Dataset] cur_step=5505 phase=C_full_covt + {'loss': '2.996', 'grad_norm': '2.614', 'learning_rate': '1.793e-05', 'epoch': '0.198'} + 61%|█████████████████▋ | 5505/9000 [3:59:31<18:41:46, 19.26s/it] {'lm_loss': '0.7907', 'visual_loss': '2.645', 'seg_loss': '0.7807', 'dino_loss': '0.9186', 'depth_loss': '0.2648', 'vggt_mse_loss': '0.2631', 'vggt_cos_loss': '0.01746', 'pidinet_loss': '0.2002', 'siglip_loss': '0.4804', 'epoch': '0.198'} + 61%|█████████████████▋ | 5505/9000 [3:59:35<18:41:46, 19.26s/it][Dataset] cur_step=5506 phase=C_full_covt +[Dataset] cur_step=5506 phase=C_full_covt +[Dataset] cur_step=5506 phase=C_full_covt +[Dataset] cur_step=5506 phase=C_full_covt[Dataset] cur_step=5506 phase=C_full_covt + +[Dataset] cur_step=5506 phase=C_full_covt + 61%|█████████████████▋ | 5506/9000 [3:59:35<14:15:40, 14.69s/it][Dataset] cur_step=5506 phase=C_full_covt +[Dataset] cur_step=5506 phase=C_full_covt + {'loss': '3.185', 'grad_norm': '1.925', 'learning_rate': '1.792e-05', 'epoch': '0.1981'} + 61%|█████████████████▋ | 5506/9000 [3:59:35<14:15:40, 14.69s/it] {'lm_loss': '0.001192', 'visual_loss': '2.965', 'seg_loss': '0.8097', 'dino_loss': '0.9184', 'depth_loss': '0.3812', 'vggt_mse_loss': '0.378', 'vggt_cos_loss': '0.03145', 'pidinet_loss': '0.2301', 'siglip_loss': '0.6254', 'epoch': '0.1981'} + 61%|█████████████████▋ | 5506/9000 [3:59:39<14:15:40, 14.69s/it][Dataset] cur_step=5507 phase=C_full_covt +[Dataset] cur_step=5507 phase=C_full_covt +[Dataset] cur_step=5507 phase=C_full_covt[Dataset] cur_step=5507 phase=C_full_covt +[Dataset] cur_step=5507 phase=C_full_covt + + 61%|█████████████████▋ | 5507/9000 [3:59:40<11:18:43, 11.66s/it][Dataset] cur_step=5507 phase=C_full_covt +[Dataset] cur_step=5507 phase=C_full_covt +[Dataset] cur_step=5507 phase=C_full_covt + {'loss': '3.069', 'grad_norm': '5.321', 'learning_rate': '1.792e-05', 'epoch': '0.1981'} + 61%|█████████████████▋ | 5507/9000 [3:59:40<11:18:43, 11.66s/it] {'lm_loss': '0.255', 'visual_loss': '2.747', 'seg_loss': '0.756', 'dino_loss': '0.9249', 'depth_loss': '0.2334', 'vggt_mse_loss': '0.2317', 'vggt_cos_loss': '0.01665', 'pidinet_loss': '0.227', 'siglip_loss': '0.6057', 'epoch': '0.1981'} + 61%|█████████████████▋ | 5507/9000 [3:59:44<11:18:43, 11.66s/it][Dataset] cur_step=5508 phase=C_full_covt[Dataset] cur_step=5508 phase=C_full_covt + +[Dataset] cur_step=5508 phase=C_full_covt +[Dataset] cur_step=5508 phase=C_full_covt +[Dataset] cur_step=5508 phase=C_full_covt[Dataset] cur_step=5508 phase=C_full_covt + +[Dataset] cur_step=5508 phase=C_full_covt 61%|██████████████████▎ | 5508/9000 [3:59:44<9:09:55, 9.45s/it] +[Dataset] cur_step=5508 phase=C_full_covt + {'loss': '2.854', 'grad_norm': '1.481', 'learning_rate': '1.791e-05', 'epoch': '0.1982'} + 61%|██████████████████▎ | 5508/9000 [3:59:44<9:09:55, 9.45s/it] {'lm_loss': '0.539', 'visual_loss': '2.878', 'seg_loss': '0.7722', 'dino_loss': '0.936', 'depth_loss': '0.2423', 'vggt_mse_loss': '0.2407', 'vggt_cos_loss': '0.01634', 'pidinet_loss': '0.2969', 'siglip_loss': '0.6307', 'epoch': '0.1982'} + 61%|██████████████████▎ | 5508/9000 [3:59:48<9:09:55, 9.45s/it][Dataset] cur_step=5509 phase=C_full_covt +[Dataset] cur_step=5509 phase=C_full_covt +[Dataset] cur_step=5509 phase=C_full_covt[Dataset] cur_step=5509 phase=C_full_covt + +[Dataset] cur_step=5509 phase=C_full_covt +[Dataset] cur_step=5509 phase=C_full_covt +[Dataset] cur_step=5509 phase=C_full_covt[Dataset] cur_step=5509 phase=C_full_covt + + 61%|██████████████████▎ | 5509/9000 [3:59:48<7:35:17, 7.83s/it] {'loss': '3.202', 'grad_norm': '3.292', 'learning_rate': '1.79e-05', 'epoch': '0.1982'} + 61%|██████████████████▎ | 5509/9000 [3:59:48<7:35:17, 7.83s/it] {'lm_loss': '0.004563', 'visual_loss': '3.107', 'seg_loss': '0.8489', 'dino_loss': '0.9151', 'depth_loss': '0.5642', 'vggt_mse_loss': '0.5584', 'vggt_cos_loss': '0.05748', 'pidinet_loss': '0.2347', 'siglip_loss': '0.5437', 'epoch': '0.1982'} + 61%|██████████████████▎ | 5509/9000 [3:59:51<7:35:17, 7.83s/it][Dataset] cur_step=5510 phase=C_full_covt +[Dataset] cur_step=5510 phase=C_full_covt[Dataset] cur_step=5510 phase=C_full_covt + +[Dataset] cur_step=5510 phase=C_full_covt +[Dataset] cur_step=5510 phase=C_full_covt +[Dataset] cur_step=5510 phase=C_full_covt +[Dataset] cur_step=5510 phase=C_full_covt[Dataset] cur_step=5510 phase=C_full_covt + + 61%|██████████████████▎ | 5510/9000 [3:59:52<6:29:18, 6.69s/it] {'loss': '3.1', 'grad_norm': '2.253', 'learning_rate': '1.789e-05', 'epoch': '0.1982'} + 61%|██████████████████▎ | 5510/9000 [3:59:52<6:29:18, 6.69s/it] {'lm_loss': '0.2017', 'visual_loss': '2.754', 'seg_loss': '0.67', 'dino_loss': '0.9243', 'depth_loss': '0.3095', 'vggt_mse_loss': '0.3072', 'vggt_cos_loss': '0.02279', 'pidinet_loss': '0.2793', 'siglip_loss': '0.5708', 'epoch': '0.1982'} + 61%|██████████████████▎ | 5510/9000 [3:59:56<6:29:18, 6.69s/it][Dataset] cur_step=5511 phase=C_full_covt +[Dataset] cur_step=5511 phase=C_full_covt +[Dataset] cur_step=5511 phase=C_full_covt[Dataset] cur_step=5511 phase=C_full_covt + +[Dataset] cur_step=5511 phase=C_full_covt + 61%|██████████████████▎ | 5511/9000 [3:59:57<5:45:03, 5.93s/it][Dataset] cur_step=5511 phase=C_full_covt +[Dataset] cur_step=5511 phase=C_full_covt +[Dataset] cur_step=5511 phase=C_full_covt + {'loss': '3.189', 'grad_norm': '2.297', 'learning_rate': '1.788e-05', 'epoch': '0.1983'} + 61%|██████████████████▎ | 5511/9000 [3:59:57<5:45:03, 5.93s/it] {'lm_loss': '0.4451', 'visual_loss': '2.789', 'seg_loss': '0.7241', 'dino_loss': '0.9257', 'depth_loss': '0.2633', 'vggt_mse_loss': '0.2614', 'vggt_cos_loss': '0.01911', 'pidinet_loss': '0.2716', 'siglip_loss': '0.6039', 'epoch': '0.1983'} + 61%|██████████████████▎ | 5511/9000 [3:59:59<5:45:03, 5.93s/it][Dataset] cur_step=5512 phase=C_full_covt +[Dataset] cur_step=5512 phase=C_full_covt +[Dataset] cur_step=5512 phase=C_full_covt[Dataset] cur_step=5512 phase=C_full_covt + +[Dataset] cur_step=5512 phase=C_full_covt +[Dataset] cur_step=5512 phase=C_full_covt + 61%|██████████████████▎ | 5512/9000 [4:00:00<5:07:57, 5.30s/it][Dataset] cur_step=5512 phase=C_full_covt[Dataset] cur_step=5512 phase=C_full_covt + + {'loss': '3.349', 'grad_norm': '7.148', 'learning_rate': '1.787e-05', 'epoch': '0.1983'} + 61%|██████████████████▎ | 5512/9000 [4:00:00<5:07:57, 5.30s/it] {'lm_loss': '0.2041', 'visual_loss': '2.638', 'seg_loss': '0.7305', 'dino_loss': '0.952', 'depth_loss': '0.2471', 'vggt_mse_loss': '0.2453', 'vggt_cos_loss': '0.0175', 'pidinet_loss': '0.2233', 'siglip_loss': '0.4852', 'epoch': '0.1983'} + 61%|██████████████████▎ | 5512/9000 [4:00:04<5:07:57, 5.30s/it][Dataset] cur_step=5513 phase=C_full_covt +[Dataset] cur_step=5513 phase=C_full_covt[Dataset] cur_step=5513 phase=C_full_covt + +[Dataset] cur_step=5513 phase=C_full_covt +[Dataset] cur_step=5513 phase=C_full_covt[Dataset] cur_step=5513 phase=C_full_covt +[Dataset] cur_step=5513 phase=C_full_covt + + 61%|██████████████████▍ | 5513/9000 [4:00:05<4:51:03, 5.01s/it][Dataset] cur_step=5513 phase=C_full_covt + {'loss': '3.141', 'grad_norm': '2.448', 'learning_rate': '1.786e-05', 'epoch': '0.1983'} + 61%|██████████████████▍ | 5513/9000 [4:00:05<4:51:03, 5.01s/it] {'lm_loss': '0.2426', 'visual_loss': '3.132', 'seg_loss': '0.8424', 'dino_loss': '0.9155', 'depth_loss': '0.4595', 'vggt_mse_loss': '0.4559', 'vggt_cos_loss': '0.03654', 'pidinet_loss': '0.2422', 'siglip_loss': '0.6724', 'epoch': '0.1983'} + 61%|██████████████████▍ | 5513/9000 [4:00:07<4:51:03, 5.01s/it][Dataset] cur_step=5514 phase=C_full_covt +[Dataset] cur_step=5514 phase=C_full_covt +[Dataset] cur_step=5514 phase=C_full_covt +[Dataset] cur_step=5514 phase=C_full_covt +[Dataset] cur_step=5514 phase=C_full_covt +[Dataset] cur_step=5514 phase=C_full_covt 61%|██████████████████▍ | 5514/9000 [4:00:09<4:33:25, 4.71s/it] +[Dataset] cur_step=5514 phase=C_full_covt +[Dataset] cur_step=5514 phase=C_full_covt + {'loss': '3.219', 'grad_norm': '1.483', 'learning_rate': '1.785e-05', 'epoch': '0.1984'} + 61%|██████████████████▍ | 5514/9000 [4:00:09<4:33:25, 4.71s/it] {'lm_loss': '0.01783', 'visual_loss': '2.854', 'seg_loss': '0.7787', 'dino_loss': '0.9221', 'depth_loss': '0.2845', 'vggt_mse_loss': '0.2824', 'vggt_cos_loss': '0.0214', 'pidinet_loss': '0.2869', 'siglip_loss': '0.5818', 'epoch': '0.1984'} + 61%|██████████████████▍ | 5514/9000 [4:00:12<4:33:25, 4.71s/it][Dataset] cur_step=5515 phase=C_full_covt[Dataset] cur_step=5515 phase=C_full_covt[Dataset] cur_step=5515 phase=C_full_covt + + +[Dataset] cur_step=5515 phase=C_full_covt +[Dataset] cur_step=5515 phase=C_full_covt +[Dataset] cur_step=5515 phase=C_full_covt[Dataset] cur_step=5515 phase=C_full_covt + +[Dataset] cur_step=5515 phase=C_full_covt + 61%|██████████████████▍ | 5515/9000 [4:00:13<4:23:12, 4.53s/it] {'loss': '3.129', 'grad_norm': '1.925', 'learning_rate': '1.784e-05', 'epoch': '0.1984'} + 61%|██████████████████▍ | 5515/9000 [4:00:13<4:23:12, 4.53s/it] {'lm_loss': '0.3644', 'visual_loss': '2.927', 'seg_loss': '0.7532', 'dino_loss': '0.9287', 'depth_loss': '0.253', 'vggt_mse_loss': '0.2511', 'vggt_cos_loss': '0.01852', 'pidinet_loss': '0.2277', 'siglip_loss': '0.7646', 'epoch': '0.1984'} + 61%|██████████████████▍ | 5515/9000 [4:00:19<4:23:12, 4.53s/it][Dataset] cur_step=5516 phase=C_full_covt +[Dataset] cur_step=5516 phase=C_full_covt +[Dataset] cur_step=5516 phase=C_full_covt +[Dataset] cur_step=5516 phase=C_full_covt + 61%|██████████████████▍ | 5516/9000 [4:00:19<4:58:34, 5.14s/it][Dataset] cur_step=5516 phase=C_full_covt[Dataset] cur_step=5516 phase=C_full_covt + +[Dataset] cur_step=5516 phase=C_full_covt[Dataset] cur_step=5516 phase=C_full_covt + + {'loss': '3.098', 'grad_norm': '22.65', 'learning_rate': '1.784e-05', 'epoch': '0.1984'} + 61%|██████████████████▍ | 5516/9000 [4:00:19<4:58:34, 5.14s/it] {'lm_loss': '0.2482', 'visual_loss': '2.686', 'seg_loss': '0.8465', 'dino_loss': '0.9305', 'depth_loss': '0.23', 'vggt_mse_loss': '0.2285', 'vggt_cos_loss': '0.01533', 'pidinet_loss': '0.2262', 'siglip_loss': '0.4523', 'epoch': '0.1984'} + 61%|██████████████████▍ | 5516/9000 [4:00:23<4:58:34, 5.14s/it][Dataset] cur_step=5517 phase=C_full_covt +[Dataset] cur_step=5517 phase=C_full_covt +[Dataset] cur_step=5517 phase=C_full_covt +[Dataset] cur_step=5517 phase=C_full_covt +[Dataset] cur_step=5517 phase=C_full_covt[Dataset] cur_step=5517 phase=C_full_covt + +[Dataset] cur_step=5517 phase=C_full_covt +[Dataset] cur_step=5517 phase=C_full_covt + 61%|██████████████████▍ | 5517/9000 [4:00:23<4:39:00, 4.81s/it] {'loss': '3.023', 'grad_norm': '1.477', 'learning_rate': '1.783e-05', 'epoch': '0.1985'} + 61%|██████████████████▍ | 5517/9000 [4:00:23<4:39:00, 4.81s/it] {'lm_loss': '0.5943', 'visual_loss': '2.79', 'seg_loss': '0.7149', 'dino_loss': '0.9074', 'depth_loss': '0.2781', 'vggt_mse_loss': '0.276', 'vggt_cos_loss': '0.02091', 'pidinet_loss': '0.2724', 'siglip_loss': '0.6168', 'epoch': '0.1985'} + 61%|██████████████████▍ | 5517/9000 [4:00:27<4:39:00, 4.81s/it][Dataset] cur_step=5518 phase=C_full_covt +[Dataset] cur_step=5518 phase=C_full_covt +[Dataset] cur_step=5518 phase=C_full_covt +[Dataset] cur_step=5518 phase=C_full_covt +[Dataset] cur_step=5518 phase=C_full_covt +[Dataset] cur_step=5518 phase=C_full_covt +[Dataset] cur_step=5518 phase=C_full_covt +[Dataset] cur_step=5518 phase=C_full_covt + 61%|██████████████████▍ | 5518/9000 [4:00:27<4:24:15, 4.55s/it] {'loss': '3.261', 'grad_norm': '20.38', 'learning_rate': '1.782e-05', 'epoch': '0.1985'} + 61%|██████████████████▍ | 5518/9000 [4:00:27<4:24:15, 4.55s/it] {'lm_loss': '0.4255', 'visual_loss': '2.401', 'seg_loss': '0.6176', 'dino_loss': '0.8869', 'depth_loss': '0.2241', 'vggt_mse_loss': '0.2226', 'vggt_cos_loss': '0.0146', 'pidinet_loss': '0.2491', 'siglip_loss': '0.4237', 'epoch': '0.1985'} + 61%|██████████████████▍ | 5518/9000 [4:00:31<4:24:15, 4.55s/it][Dataset] cur_step=5519 phase=C_full_covt +[Dataset] cur_step=5519 phase=C_full_covt +[Dataset] cur_step=5519 phase=C_full_covt +[Dataset] cur_step=5519 phase=C_full_covt[Dataset] cur_step=5519 phase=C_full_covt + +[Dataset] cur_step=5519 phase=C_full_covt +[Dataset] cur_step=5519 phase=C_full_covt +[Dataset] cur_step=5519 phase=C_full_covt + 61%|██████████████████▍ | 5519/9000 [4:00:34<4:54:40, 5.08s/it] {'loss': '3.132', 'grad_norm': '1.715', 'learning_rate': '1.781e-05', 'epoch': '0.1985'} + 61%|██████████████████▍ | 5519/9000 [4:00:34<4:54:40, 5.08s/it] {'lm_loss': '0.2756', 'visual_loss': '2.579', 'seg_loss': '0.6768', 'dino_loss': '0.8866', 'depth_loss': '0.1873', 'vggt_mse_loss': '0.1859', 'vggt_cos_loss': '0.01394', 'pidinet_loss': '0.3036', 'siglip_loss': '0.5246', 'epoch': '0.1985'} + 61%|██████████████████▍ | 5519/9000 [4:00:37<4:54:40, 5.08s/it][Dataset] cur_step=5520 phase=C_full_covt +[Dataset] cur_step=5520 phase=C_full_covt +[Dataset] cur_step=5520 phase=C_full_covt[Dataset] cur_step=5520 phase=C_full_covt + +[Dataset] cur_step=5520 phase=C_full_covt[Dataset] cur_step=5520 phase=C_full_covt + +[Dataset] cur_step=5520 phase=C_full_covt +[Dataset] cur_step=5520 phase=C_full_covt + 61%|██████████████████▍ | 5520/9000 [4:00:38<4:35:05, 4.74s/it] {'loss': '3.098', 'grad_norm': '2.183', 'learning_rate': '1.78e-05', 'epoch': '0.1986'} + 61%|██████████████████▍ | 5520/9000 [4:00:38<4:35:05, 4.74s/it] {'lm_loss': '0.5411', 'visual_loss': '2.507', 'seg_loss': '0.681', 'dino_loss': '0.8927', 'depth_loss': '0.2742', 'vggt_mse_loss': '0.2727', 'vggt_cos_loss': '0.01519', 'pidinet_loss': '0.2063', 'siglip_loss': '0.4525', 'epoch': '0.1986'} + 61%|██████████████████▍ | 5520/9000 [4:00:42<4:35:05, 4.74s/it][Dataset] cur_step=5521 phase=C_full_covt +[Dataset] cur_step=5521 phase=C_full_covt + 61%|██████████████████▍ | 5521/9000 [4:00:42<4:33:20, 4.71s/it][Dataset] cur_step=5521 phase=C_full_covt +[Dataset] cur_step=5521 phase=C_full_covt[Dataset] cur_step=5521 phase=C_full_covt + +[Dataset] cur_step=5521 phase=C_full_covt +[Dataset] cur_step=5521 phase=C_full_covt +[Dataset] cur_step=5521 phase=C_full_covt + {'loss': '3.118', 'grad_norm': '2.439', 'learning_rate': '1.779e-05', 'epoch': '0.1986'} + 61%|██████████████████▍ | 5521/9000 [4:00:42<4:33:20, 4.71s/it] {'lm_loss': '0.4174', 'visual_loss': '2.652', 'seg_loss': '0.7476', 'dino_loss': '0.9007', 'depth_loss': '0.2214', 'vggt_mse_loss': '0.22', 'vggt_cos_loss': '0.01388', 'pidinet_loss': '0.1725', 'siglip_loss': '0.6096', 'epoch': '0.1986'} + 61%|██████████████████▍ | 5521/9000 [4:00:46<4:33:20, 4.71s/it][Dataset] cur_step=5522 phase=C_full_covt +[Dataset] cur_step=5522 phase=C_full_covt +[Dataset] cur_step=5522 phase=C_full_covt[Dataset] cur_step=5522 phase=C_full_covt + +[Dataset] cur_step=5522 phase=C_full_covt +[Dataset] cur_step=5522 phase=C_full_covt +[Dataset] cur_step=5522 phase=C_full_covt + 61%|██████████████████▍ | 5522/9000 [4:00:49<5:02:10, 5.21s/it][Dataset] cur_step=5522 phase=C_full_covt + {'loss': '3.34', 'grad_norm': '1.77', 'learning_rate': '1.778e-05', 'epoch': '0.1987'} + 61%|██████████████████▍ | 5522/9000 [4:00:49<5:02:10, 5.21s/it] {'lm_loss': '0.3969', 'visual_loss': '2.497', 'seg_loss': '0.6375', 'dino_loss': '0.8706', 'depth_loss': '0.2351', 'vggt_mse_loss': '0.2334', 'vggt_cos_loss': '0.01692', 'pidinet_loss': '0.2352', 'siglip_loss': '0.5186', 'epoch': '0.1987'} + 61%|██████████████████▍ | 5522/9000 [4:00:52<5:02:10, 5.21s/it][Dataset] cur_step=5523 phase=C_full_covt +[Dataset] cur_step=5523 phase=C_full_covt[Dataset] cur_step=5523 phase=C_full_covt + +[Dataset] cur_step=5523 phase=C_full_covt +[Dataset] cur_step=5523 phase=C_full_covt +[Dataset] cur_step=5523 phase=C_full_covt +[Dataset] cur_step=5523 phase=C_full_covt + 61%|██████████████████▍ | 5523/9000 [4:00:53<4:42:49, 4.88s/it][Dataset] cur_step=5523 phase=C_full_covt + {'loss': '3.072', 'grad_norm': '1.916', 'learning_rate': '1.777e-05', 'epoch': '0.1987'} + 61%|██████████████████▍ | 5523/9000 [4:00:53<4:42:49, 4.88s/it] {'lm_loss': '0.007665', 'visual_loss': '2.44', 'seg_loss': '0.5808', 'dino_loss': '0.896', 'depth_loss': '0.371', 'vggt_mse_loss': '0.3685', 'vggt_cos_loss': '0.02447', 'pidinet_loss': '0.1791', 'siglip_loss': '0.4135', 'epoch': '0.1987'} + 61%|██████████████████▍ | 5523/9000 [4:00:56<4:42:49, 4.88s/it][Dataset] cur_step=5524 phase=C_full_covt +[Dataset] cur_step=5524 phase=C_full_covt[Dataset] cur_step=5524 phase=C_full_covt + +[Dataset] cur_step=5524 phase=C_full_covt[Dataset] cur_step=5524 phase=C_full_covt +[Dataset] cur_step=5524 phase=C_full_covt + +[Dataset] cur_step=5524 phase=C_full_covt + 61%|██████████████████▍ | 5524/9000 [4:00:57<4:24:36, 4.57s/it][Dataset] cur_step=5524 phase=C_full_covt + {'loss': '3.062', 'grad_norm': '11.82', 'learning_rate': '1.777e-05', 'epoch': '0.1987'} + 61%|██████████████████▍ | 5524/9000 [4:00:57<4:24:36, 4.57s/it] {'lm_loss': '0.3587', 'visual_loss': '2.702', 'seg_loss': '0.6789', 'dino_loss': '0.9488', 'depth_loss': '0.2267', 'vggt_mse_loss': '0.2246', 'vggt_cos_loss': '0.02016', 'pidinet_loss': '0.2019', 'siglip_loss': '0.6458', 'epoch': '0.1987'} + 61%|██████████████████▍ | 5524/9000 [4:01:00<4:24:36, 4.57s/it][Dataset] cur_step=5525 phase=C_full_covt +[Dataset] cur_step=5525 phase=C_full_covt +[Dataset] cur_step=5525 phase=C_full_covt[Dataset] cur_step=5525 phase=C_full_covt + +[Dataset] cur_step=5525 phase=C_full_covt +[Dataset] cur_step=5525 phase=C_full_covt +[Dataset] cur_step=5525 phase=C_full_covt +[Dataset] cur_step=5525 phase=C_full_covt + 61%|██████████████████▍ | 5525/9000 [4:01:01<4:14:54, 4.40s/it] {'loss': '3.173', 'grad_norm': '1.858', 'learning_rate': '1.776e-05', 'epoch': '0.1988'} + 61%|██████████████████▍ | 5525/9000 [4:01:01<4:14:54, 4.40s/it] {'lm_loss': '0.002138', 'visual_loss': '2.862', 'seg_loss': '0.7679', 'dino_loss': '0.9325', 'depth_loss': '0.2319', 'vggt_mse_loss': '0.2301', 'vggt_cos_loss': '0.01786', 'pidinet_loss': '0.2626', 'siglip_loss': '0.6668', 'epoch': '0.1988'} + 61%|██████████████████▍ | 5525/9000 [4:01:04<4:14:54, 4.40s/it][Dataset] cur_step=5526 phase=C_full_covt +[Dataset] cur_step=5526 phase=C_full_covt +[Dataset] cur_step=5526 phase=C_full_covt[Dataset] cur_step=5526 phase=C_full_covt + +[Dataset] cur_step=5526 phase=C_full_covt + 61%|██████████████████▍ | 5526/9000 [4:01:05<4:05:35, 4.24s/it][Dataset] cur_step=5526 phase=C_full_covt +[Dataset] cur_step=5526 phase=C_full_covt +[Dataset] cur_step=5526 phase=C_full_covt + {'loss': '2.953', 'grad_norm': '7.374', 'learning_rate': '1.775e-05', 'epoch': '0.1988'} + 61%|██████████████████▍ | 5526/9000 [4:01:05<4:05:35, 4.24s/it] {'lm_loss': '0.7396', 'visual_loss': '2.458', 'seg_loss': '0.6793', 'dino_loss': '0.8972', 'depth_loss': '0.2124', 'vggt_mse_loss': '0.2112', 'vggt_cos_loss': '0.01139', 'pidinet_loss': '0.2316', 'siglip_loss': '0.4375', 'epoch': '0.1988'} + 61%|██████████████████▍ | 5526/9000 [4:01:08<4:05:35, 4.24s/it][Dataset] cur_step=5527 phase=C_full_covt[Dataset] cur_step=5527 phase=C_full_covt + +[Dataset] cur_step=5527 phase=C_full_covt[Dataset] cur_step=5527 phase=C_full_covt + + 61%|██████████████████▍ | 5527/9000 [4:01:09<4:05:56, 4.25s/it][Dataset] cur_step=5527 phase=C_full_covt +[Dataset] cur_step=5527 phase=C_full_covt[Dataset] cur_step=5527 phase=C_full_covt + +[Dataset] cur_step=5527 phase=C_full_covt + {'loss': '3.127', 'grad_norm': '1.732', 'learning_rate': '1.774e-05', 'epoch': '0.1988'} + 61%|██████████████████▍ | 5527/9000 [4:01:09<4:05:56, 4.25s/it] {'lm_loss': '0.497', 'visual_loss': '2.868', 'seg_loss': '0.7625', 'dino_loss': '0.9256', 'depth_loss': '0.2529', 'vggt_mse_loss': '0.251', 'vggt_cos_loss': '0.0187', 'pidinet_loss': '0.2711', 'siglip_loss': '0.6558', 'epoch': '0.1988'} + 61%|██████████████████▍ | 5527/9000 [4:01:12<4:05:56, 4.25s/it][Dataset] cur_step=5528 phase=C_full_covt +[Dataset] cur_step=5528 phase=C_full_covt +[Dataset] cur_step=5528 phase=C_full_covt +[Dataset] cur_step=5528 phase=C_full_covt +[Dataset] cur_step=5528 phase=C_full_covt +[Dataset] cur_step=5528 phase=C_full_covt +[Dataset] cur_step=5528 phase=C_full_covt + 61%|██████████████████▍ | 5528/9000 [4:01:15<4:34:46, 4.75s/it][Dataset] cur_step=5528 phase=C_full_covt + {'loss': '3.302', 'grad_norm': '3.431', 'learning_rate': '1.773e-05', 'epoch': '0.1989'} + 61%|██████████████████▍ | 5528/9000 [4:01:15<4:34:46, 4.75s/it] {'lm_loss': '0.01387', 'visual_loss': '2.489', 'seg_loss': '0.6971', 'dino_loss': '0.8866', 'depth_loss': '0.2782', 'vggt_mse_loss': '0.2765', 'vggt_cos_loss': '0.01772', 'pidinet_loss': '0.1935', 'siglip_loss': '0.4338', 'epoch': '0.1989'} + 61%|██████████████████▍ | 5528/9000 [4:01:17<4:34:46, 4.75s/it][Dataset] cur_step=5529 phase=C_full_covt +[Dataset] cur_step=5529 phase=C_full_covt +[Dataset] cur_step=5529 phase=C_full_covt +[Dataset] cur_step=5529 phase=C_full_covt + 61%|██████████████████▍ | 5529/9000 [4:01:19<4:20:36, 4.50s/it][Dataset] cur_step=5529 phase=C_full_covt +[Dataset] cur_step=5529 phase=C_full_covt +[Dataset] cur_step=5529 phase=C_full_covt +[Dataset] cur_step=5529 phase=C_full_covt + {'loss': '3.237', 'grad_norm': '2.703', 'learning_rate': '1.772e-05', 'epoch': '0.1989'} + 61%|██████████████████▍ | 5529/9000 [4:01:19<4:20:36, 4.50s/it] {'lm_loss': '0.5104', 'visual_loss': '2.735', 'seg_loss': '0.7126', 'dino_loss': '0.9484', 'depth_loss': '0.2321', 'vggt_mse_loss': '0.2305', 'vggt_cos_loss': '0.01648', 'pidinet_loss': '0.2472', 'siglip_loss': '0.5951', 'epoch': '0.1989'} + 61%|██████████████████▍ | 5529/9000 [4:01:22<4:20:36, 4.50s/it][Dataset] cur_step=5530 phase=C_full_covt +[Dataset] cur_step=5530 phase=C_full_covt +[Dataset] cur_step=5530 phase=C_full_covt[Dataset] cur_step=5530 phase=C_full_covt + +[Dataset] cur_step=5530 phase=C_full_covt +[Dataset] cur_step=5530 phase=C_full_covt +[Dataset] cur_step=5530 phase=C_full_covt + 61%|██████████████████▍ | 5530/9000 [4:01:23<4:09:28, 4.31s/it][Dataset] cur_step=5530 phase=C_full_covt + {'loss': '3.027', 'grad_norm': '2.841', 'learning_rate': '1.771e-05', 'epoch': '0.1989'} + 61%|██████████████████▍ | 5530/9000 [4:01:23<4:09:28, 4.31s/it] {'lm_loss': '0.9544', 'visual_loss': '2.565', 'seg_loss': '0.596', 'dino_loss': '0.9279', 'depth_loss': '0.3104', 'vggt_mse_loss': '0.3081', 'vggt_cos_loss': '0.02264', 'pidinet_loss': '0.2555', 'siglip_loss': '0.4755', 'epoch': '0.1989'} + 61%|██████████████████▍ | 5530/9000 [4:01:26<4:09:28, 4.31s/it][Dataset] cur_step=5531 phase=C_full_covt[Dataset] cur_step=5531 phase=C_full_covt + +[Dataset] cur_step=5531 phase=C_full_covt +[Dataset] cur_step=5531 phase=C_full_covt + 61%|██████████████████▍ | 5531/9000 [4:01:26<4:01:06, 4.17s/it][Dataset] cur_step=5531 phase=C_full_covt[Dataset] cur_step=5531 phase=C_full_covt +[Dataset] cur_step=5531 phase=C_full_covt + +[Dataset] cur_step=5531 phase=C_full_covt + {'loss': '3.145', 'grad_norm': '2.009', 'learning_rate': '1.77e-05', 'epoch': '0.199'} + 61%|██████████████████▍ | 5531/9000 [4:01:26<4:01:06, 4.17s/it] {'lm_loss': '0.5586', 'visual_loss': '2.707', 'seg_loss': '0.7198', 'dino_loss': '0.9286', 'depth_loss': '0.3049', 'vggt_mse_loss': '0.3022', 'vggt_cos_loss': '0.02672', 'pidinet_loss': '0.2177', 'siglip_loss': '0.5364', 'epoch': '0.199'} + 61%|██████████████████▍ | 5531/9000 [4:01:29<4:01:06, 4.17s/it][Dataset] cur_step=5532 phase=C_full_covt +[Dataset] cur_step=5532 phase=C_full_covt[Dataset] cur_step=5532 phase=C_full_covt + +[Dataset] cur_step=5532 phase=C_full_covt +[Dataset] cur_step=5532 phase=C_full_covt +[Dataset] cur_step=5532 phase=C_full_covt[Dataset] cur_step=5532 phase=C_full_covt + + 61%|██████████████████▍ | 5532/9000 [4:01:33<4:37:53, 4.81s/it][Dataset] cur_step=5532 phase=C_full_covt + {'loss': '3.103', 'grad_norm': '1.696', 'learning_rate': '1.77e-05', 'epoch': '0.199'} + 61%|██████████████████▍ | 5532/9000 [4:01:33<4:37:53, 4.81s/it] {'lm_loss': '0.3691', 'visual_loss': '2.49', 'seg_loss': '0.6703', 'dino_loss': '0.9381', 'depth_loss': '0.2131', 'vggt_mse_loss': '0.2116', 'vggt_cos_loss': '0.01503', 'pidinet_loss': '0.1976', 'siglip_loss': '0.4708', 'epoch': '0.199'} + 61%|██████████████████▍ | 5532/9000 [4:01:36<4:37:53, 4.81s/it][Dataset] cur_step=5533 phase=C_full_covt +[Dataset] cur_step=5533 phase=C_full_covt +[Dataset] cur_step=5533 phase=C_full_covt +[Dataset] cur_step=5533 phase=C_full_covt +[Dataset] cur_step=5533 phase=C_full_covt + 61%|██████████████████▍ | 5533/9000 [4:01:39<4:58:40, 5.17s/it][Dataset] cur_step=5533 phase=C_full_covt +[Dataset] cur_step=5533 phase=C_full_covt +[Dataset] cur_step=5533 phase=C_full_covt + {'loss': '3.059', 'grad_norm': '2.215', 'learning_rate': '1.769e-05', 'epoch': '0.1991'} + 61%|██████████████████▍ | 5533/9000 [4:01:39<4:58:40, 5.17s/it] {'lm_loss': '0.7559', 'visual_loss': '2.962', 'seg_loss': '0.7291', 'dino_loss': '0.9407', 'depth_loss': '0.2385', 'vggt_mse_loss': '0.2369', 'vggt_cos_loss': '0.01579', 'pidinet_loss': '0.1982', 'siglip_loss': '0.8551', 'epoch': '0.1991'} + 61%|██████████████████▍ | 5533/9000 [4:01:42<4:58:40, 5.17s/it][Dataset] cur_step=5534 phase=C_full_covt +[Dataset] cur_step=5534 phase=C_full_covt +[Dataset] cur_step=5534 phase=C_full_covt +[Dataset] cur_step=5534 phase=C_full_covt +[Dataset] cur_step=5534 phase=C_full_covt +[Dataset] cur_step=5534 phase=C_full_covt +[Dataset] cur_step=5534 phase=C_full_covt +[Dataset] cur_step=5534 phase=C_full_covt + 61%|██████████████████▍ | 5534/9000 [4:01:43<4:39:50, 4.84s/it] {'loss': '3.072', 'grad_norm': '5.814', 'learning_rate': '1.768e-05', 'epoch': '0.1991'} + 61%|██████████████████▍ | 5534/9000 [4:01:43<4:39:50, 4.84s/it] {'lm_loss': '0.5413', 'visual_loss': '2.536', 'seg_loss': '0.6326', 'dino_loss': '0.9276', 'depth_loss': '0.2545', 'vggt_mse_loss': '0.2525', 'vggt_cos_loss': '0.0199', 'pidinet_loss': '0.2427', 'siglip_loss': '0.4791', 'epoch': '0.1991'} + 61%|██████████████████▍ | 5534/9000 [4:01:46<4:39:50, 4.84s/it][Dataset] cur_step=5535 phase=C_full_covt +[Dataset] cur_step=5535 phase=C_full_covt +[Dataset] cur_step=5535 phase=C_full_covt +[Dataset] cur_step=5535 phase=C_full_covt +[Dataset] cur_step=5535 phase=C_full_covt + 62%|██████████████████▍ | 5535/9000 [4:01:47<4:25:10, 4.59s/it][Dataset] cur_step=5535 phase=C_full_covt +[Dataset] cur_step=5535 phase=C_full_covt +[Dataset] cur_step=5535 phase=C_full_covt + {'loss': '2.988', 'grad_norm': '3.65', 'learning_rate': '1.767e-05', 'epoch': '0.1991'} + 62%|██████████████████▍ | 5535/9000 [4:01:47<4:25:10, 4.59s/it] {'lm_loss': '0.3319', 'visual_loss': '2.734', 'seg_loss': '0.6277', 'dino_loss': '0.9', 'depth_loss': '0.1862', 'vggt_mse_loss': '0.1847', 'vggt_cos_loss': '0.01525', 'pidinet_loss': '0.3233', 'siglip_loss': '0.6964', 'epoch': '0.1991'} + 62%|██████████████████▍ | 5535/9000 [4:01:50<4:25:10, 4.59s/it][Dataset] cur_step=5536 phase=C_full_covt +[Dataset] cur_step=5536 phase=C_full_covt +[Dataset] cur_step=5536 phase=C_full_covt +[Dataset] cur_step=5536 phase=C_full_covt +[Dataset] cur_step=5536 phase=C_full_covt +[Dataset] cur_step=5536 phase=C_full_covt[Dataset] cur_step=5536 phase=C_full_covt + +[Dataset] cur_step=5536 phase=C_full_covt + 62%|██████████████████▍ | 5536/9000 [4:01:51<4:12:20, 4.37s/it] {'loss': '3.136', 'grad_norm': '3.831', 'learning_rate': '1.766e-05', 'epoch': '0.1992'} + 62%|██████████████████▍ | 5536/9000 [4:01:51<4:12:20, 4.37s/it] {'lm_loss': '0.2533', 'visual_loss': '2.44', 'seg_loss': '0.7193', 'dino_loss': '0.8885', 'depth_loss': '0.2567', 'vggt_mse_loss': '0.2555', 'vggt_cos_loss': '0.01213', 'pidinet_loss': '0.1713', 'siglip_loss': '0.4041', 'epoch': '0.1992'} + 62%|██████████████████▍ | 5536/9000 [4:01:54<4:12:20, 4.37s/it][Dataset] cur_step=5537 phase=C_full_covt[Dataset] cur_step=5537 phase=C_full_covt +[Dataset] cur_step=5537 phase=C_full_covt +[Dataset] cur_step=5537 phase=C_full_covt + +[Dataset] cur_step=5537 phase=C_full_covt +[Dataset] cur_step=5537 phase=C_full_covt[Dataset] cur_step=5537 phase=C_full_covt + +[Dataset] cur_step=5537 phase=C_full_covt + 62%|██████████████████▍ | 5537/9000 [4:01:55<4:07:08, 4.28s/it] {'loss': '3.16', 'grad_norm': '2.959', 'learning_rate': '1.765e-05', 'epoch': '0.1992'} + 62%|██████████████████▍ | 5537/9000 [4:01:55<4:07:08, 4.28s/it] {'lm_loss': '0.7024', 'visual_loss': '2.715', 'seg_loss': '0.754', 'dino_loss': '0.9143', 'depth_loss': '0.2442', 'vggt_mse_loss': '0.2424', 'vggt_cos_loss': '0.01813', 'pidinet_loss': '0.2835', 'siglip_loss': '0.5192', 'epoch': '0.1992'} + 62%|██████████████████▍ | 5537/9000 [4:01:58<4:07:08, 4.28s/it][Dataset] cur_step=5538 phase=C_full_covt +[Dataset] cur_step=5538 phase=C_full_covt[Dataset] cur_step=5538 phase=C_full_covt[Dataset] cur_step=5538 phase=C_full_covt + + + 62%|██████████████████▍ | 5538/9000 [4:01:59<4:04:51, 4.24s/it][Dataset] cur_step=5538 phase=C_full_covt +[Dataset] cur_step=5538 phase=C_full_covt[Dataset] cur_step=5538 phase=C_full_covt + +[Dataset] cur_step=5538 phase=C_full_covt + {'loss': '3.138', 'grad_norm': '3.88', 'learning_rate': '1.764e-05', 'epoch': '0.1992'} + 62%|██████████████████▍ | 5538/9000 [4:01:59<4:04:51, 4.24s/it] {'lm_loss': '0.01132', 'visual_loss': '2.857', 'seg_loss': '0.8459', 'dino_loss': '0.9328', 'depth_loss': '0.2041', 'vggt_mse_loss': '0.2027', 'vggt_cos_loss': '0.01354', 'pidinet_loss': '0.2382', 'siglip_loss': '0.6361', 'epoch': '0.1992'} + 62%|██████████████████▍ | 5538/9000 [4:02:02<4:04:51, 4.24s/it][Dataset] cur_step=5539 phase=C_full_covt +[Dataset] cur_step=5539 phase=C_full_covt +[Dataset] cur_step=5539 phase=C_full_covt +[Dataset] cur_step=5539 phase=C_full_covt[Dataset] cur_step=5539 phase=C_full_covt[Dataset] cur_step=5539 phase=C_full_covt + + + 62%|██████████████████▍ | 5539/9000 [4:02:03<3:57:25, 4.12s/it][Dataset] cur_step=5539 phase=C_full_covt +[Dataset] cur_step=5539 phase=C_full_covt + {'loss': '3.055', 'grad_norm': '1.82', 'learning_rate': '1.763e-05', 'epoch': '0.1993'} + 62%|██████████████████▍ | 5539/9000 [4:02:03<3:57:25, 4.12s/it] {'lm_loss': '1.082', 'visual_loss': '2.903', 'seg_loss': '0.8352', 'dino_loss': '0.8948', 'depth_loss': '0.2199', 'vggt_mse_loss': '0.2184', 'vggt_cos_loss': '0.01494', 'pidinet_loss': '0.2402', 'siglip_loss': '0.7128', 'epoch': '0.1993'} + 62%|██████████████████▍ | 5539/9000 [4:02:05<3:57:25, 4.12s/it][Dataset] cur_step=5540 phase=C_full_covt +[Dataset] cur_step=5540 phase=C_full_covt +[Dataset] cur_step=5540 phase=C_full_covt +[Dataset] cur_step=5540 phase=C_full_covt +[Dataset] cur_step=5540 phase=C_full_covt +[Dataset] cur_step=5540 phase=C_full_covt[Dataset] cur_step=5540 phase=C_full_covt + +[Dataset] cur_step=5540 phase=C_full_covt + 62%|██████████████████▍ | 5540/9000 [4:02:06<3:52:45, 4.04s/it] {'loss': '3.258', 'grad_norm': '1.581', 'learning_rate': '1.762e-05', 'epoch': '0.1993'} + 62%|██████████████████▍ | 5540/9000 [4:02:07<3:52:45, 4.04s/it] {'lm_loss': '0.5405', 'visual_loss': '2.721', 'seg_loss': '0.8277', 'dino_loss': '0.8911', 'depth_loss': '0.2142', 'vggt_mse_loss': '0.2125', 'vggt_cos_loss': '0.01706', 'pidinet_loss': '0.286', 'siglip_loss': '0.5015', 'epoch': '0.1993'} + 62%|██████████████████▍ | 5540/9000 [4:02:10<3:52:45, 4.04s/it][Dataset] cur_step=5541 phase=C_full_covt +[Dataset] cur_step=5541 phase=C_full_covt +[Dataset] cur_step=5541 phase=C_full_covt +[Dataset] cur_step=5541 phase=C_full_covt[Dataset] cur_step=5541 phase=C_full_covt +[Dataset] cur_step=5541 phase=C_full_covt + +[Dataset] cur_step=5541 phase=C_full_covt +[Dataset] cur_step=5541 phase=C_full_covt + 62%|██████████████████▍ | 5541/9000 [4:02:11<3:57:08, 4.11s/it] {'loss': '3.291', 'grad_norm': '1.834', 'learning_rate': '1.762e-05', 'epoch': '0.1993'} + 62%|██████████████████▍ | 5541/9000 [4:02:11<3:57:08, 4.11s/it] {'lm_loss': '0.8845', 'visual_loss': '2.606', 'seg_loss': '0.6828', 'dino_loss': '0.9246', 'depth_loss': '0.2032', 'vggt_mse_loss': '0.2017', 'vggt_cos_loss': '0.01499', 'pidinet_loss': '0.2221', 'siglip_loss': '0.5735', 'epoch': '0.1993'} + 62%|██████████████████▍ | 5541/9000 [4:02:14<3:57:08, 4.11s/it][Dataset] cur_step=5542 phase=C_full_covt +[Dataset] cur_step=5542 phase=C_full_covt[Dataset] cur_step=5542 phase=C_full_covt +[Dataset] cur_step=5542 phase=C_full_covt + + 62%|██████████████████▍ | 5542/9000 [4:02:17<4:38:04, 4.82s/it][Dataset] cur_step=5542 phase=C_full_covt[Dataset] cur_step=5542 phase=C_full_covt + +[Dataset] cur_step=5542 phase=C_full_covt +[Dataset] cur_step=5542 phase=C_full_covt + {'loss': '3.235', 'grad_norm': '1.969', 'learning_rate': '1.761e-05', 'epoch': '0.1994'} + 62%|██████████████████▍ | 5542/9000 [4:02:17<4:38:04, 4.82s/it] {'lm_loss': '0.09898', 'visual_loss': '2.723', 'seg_loss': '0.7796', 'dino_loss': '0.9011', 'depth_loss': '0.2133', 'vggt_mse_loss': '0.2117', 'vggt_cos_loss': '0.01648', 'pidinet_loss': '0.2292', 'siglip_loss': '0.5996', 'epoch': '0.1994'} + 62%|██████████████████▍ | 5542/9000 [4:02:20<4:38:04, 4.82s/it][Dataset] cur_step=5543 phase=C_full_covt +[Dataset] cur_step=5543 phase=C_full_covt +[Dataset] cur_step=5543 phase=C_full_covt +[Dataset] cur_step=5543 phase=C_full_covt +[Dataset] cur_step=5543 phase=C_full_covt +[Dataset] cur_step=5543 phase=C_full_covt +[Dataset] cur_step=5543 phase=C_full_covt + 62%|██████████████████▍ | 5543/9000 [4:02:21<4:20:55, 4.53s/it][Dataset] cur_step=5543 phase=C_full_covt + {'loss': '3.128', 'grad_norm': '5.318', 'learning_rate': '1.76e-05', 'epoch': '0.1994'} + 62%|██████████████████▍ | 5543/9000 [4:02:21<4:20:55, 4.53s/it]Token indices sequence length is longer than the specified maximum sequence length for this model (1028 > 1024). Running this sequence through the model will result in indexing errors + {'lm_loss': '1.015', 'visual_loss': '2.594', 'seg_loss': '0.6445', 'dino_loss': '0.9292', 'depth_loss': '0.2165', 'vggt_mse_loss': '0.2149', 'vggt_cos_loss': '0.01539', 'pidinet_loss': '0.3007', 'siglip_loss': '0.5034', 'epoch': '0.1994'} + 62%|██████████████████▍ | 5543/9000 [4:02:25<4:20:55, 4.53s/it][Dataset] cur_step=5544 phase=C_full_covt +[Dataset] cur_step=5544 phase=C_full_covt +[Dataset] cur_step=5544 phase=C_full_covt + 62%|██████████████████▍ | 5544/9000 [4:02:27<4:47:05, 4.98s/it][Dataset] cur_step=5544 phase=C_full_covt[Dataset] cur_step=5544 phase=C_full_covt +[Dataset] cur_step=5544 phase=C_full_covt + +[Dataset] cur_step=5544 phase=C_full_covt +[Dataset] cur_step=5544 phase=C_full_covt + {'loss': '3.197', 'grad_norm': '2.507', 'learning_rate': '1.759e-05', 'epoch': '0.1994'} + 62%|██████████████████▍ | 5544/9000 [4:02:27<4:47:05, 4.98s/it] {'lm_loss': '0.6738', 'visual_loss': '2.853', 'seg_loss': '0.7871', 'dino_loss': '0.8941', 'depth_loss': '0.2451', 'vggt_mse_loss': '0.2432', 'vggt_cos_loss': '0.01952', 'pidinet_loss': '0.2545', 'siglip_loss': '0.6717', 'epoch': '0.1994'} + 62%|██████████████████▍ | 5544/9000 [4:02:30<4:47:05, 4.98s/it][Dataset] cur_step=5545 phase=C_full_covt +[Dataset] cur_step=5545 phase=C_full_covt +[Dataset] cur_step=5545 phase=C_full_covt[Dataset] cur_step=5545 phase=C_full_covt + +[Dataset] cur_step=5545 phase=C_full_covt +[Dataset] cur_step=5545 phase=C_full_covt +[Dataset] cur_step=5545 phase=C_full_covt 62%|██████████████████▍ | 5545/9000 [4:02:31<4:33:20, 4.75s/it] +[Dataset] cur_step=5545 phase=C_full_covt + {'loss': '3.187', 'grad_norm': '3.464', 'learning_rate': '1.758e-05', 'epoch': '0.1995'} + 62%|██████████████████▍ | 5545/9000 [4:02:31<4:33:20, 4.75s/it] {'lm_loss': '0.8144', 'visual_loss': '2.373', 'seg_loss': '0.6087', 'dino_loss': '0.9059', 'depth_loss': '0.2236', 'vggt_mse_loss': '0.2221', 'vggt_cos_loss': '0.01425', 'pidinet_loss': '0.1847', 'siglip_loss': '0.4502', 'epoch': '0.1995'} + 62%|██████████████████▍ | 5545/9000 [4:02:35<4:33:20, 4.75s/it][Dataset] cur_step=5546 phase=C_full_covt +[Dataset] cur_step=5546 phase=C_full_covt +[Dataset] cur_step=5546 phase=C_full_covt + 62%|██████████████████▍ | 5546/9000 [4:02:35<4:16:34, 4.46s/it][Dataset] cur_step=5546 phase=C_full_covt +[Dataset] cur_step=5546 phase=C_full_covt +[Dataset] cur_step=5546 phase=C_full_covt +[Dataset] cur_step=5546 phase=C_full_covt +[Dataset] cur_step=5546 phase=C_full_covt + {'loss': '3.503', 'grad_norm': '2.102', 'learning_rate': '1.757e-05', 'epoch': '0.1995'} + 62%|██████████████████▍ | 5546/9000 [4:02:35<4:16:34, 4.46s/it] {'lm_loss': '0.5506', 'visual_loss': '2.344', 'seg_loss': '0.6308', 'dino_loss': '0.9062', 'depth_loss': '0.1999', 'vggt_mse_loss': '0.1987', 'vggt_cos_loss': '0.01267', 'pidinet_loss': '0.1966', 'siglip_loss': '0.4107', 'epoch': '0.1995'} + 62%|██████████████████▍ | 5546/9000 [4:02:39<4:16:34, 4.46s/it][Dataset] cur_step=5547 phase=C_full_covt[Dataset] cur_step=5547 phase=C_full_covt + +[Dataset] cur_step=5547 phase=C_full_covt 62%|██████████████████▍ | 5547/9000 [4:02:40<4:15:05, 4.43s/it][Dataset] cur_step=5547 phase=C_full_covt + +[Dataset] cur_step=5547 phase=C_full_covt +[Dataset] cur_step=5547 phase=C_full_covt +[Dataset] cur_step=5547 phase=C_full_covt +[Dataset] cur_step=5547 phase=C_full_covt + {'loss': '2.966', 'grad_norm': '2.535', 'learning_rate': '1.756e-05', 'epoch': '0.1996'} + 62%|██████████████████▍ | 5547/9000 [4:02:40<4:15:05, 4.43s/it] {'lm_loss': '0.4769', 'visual_loss': '2.589', 'seg_loss': '0.7484', 'dino_loss': '0.9022', 'depth_loss': '0.1782', 'vggt_mse_loss': '0.1771', 'vggt_cos_loss': '0.01114', 'pidinet_loss': '0.232', 'siglip_loss': '0.5281', 'epoch': '0.1996'} + 62%|██████████████████▍ | 5547/9000 [4:02:43<4:15:05, 4.43s/it][Dataset] cur_step=5548 phase=C_full_covt +[Dataset] cur_step=5548 phase=C_full_covt +[Dataset] cur_step=5548 phase=C_full_covt +[Dataset] cur_step=5548 phase=C_full_covt +[Dataset] cur_step=5548 phase=C_full_covt +[Dataset] cur_step=5548 phase=C_full_covt +[Dataset] cur_step=5548 phase=C_full_covt +[Dataset] cur_step=5548 phase=C_full_covt + 62%|██████████████████▍ | 5548/9000 [4:02:44<4:17:00, 4.47s/it] {'loss': '3.045', 'grad_norm': '2.064', 'learning_rate': '1.755e-05', 'epoch': '0.1996'} + 62%|██████████████████▍ | 5548/9000 [4:02:44<4:17:00, 4.47s/it] {'lm_loss': '0.2575', 'visual_loss': '2.813', 'seg_loss': '0.7948', 'dino_loss': '0.9115', 'depth_loss': '0.2732', 'vggt_mse_loss': '0.2714', 'vggt_cos_loss': '0.01801', 'pidinet_loss': '0.225', 'siglip_loss': '0.6089', 'epoch': '0.1996'} + 62%|██████████████████▍ | 5548/9000 [4:02:47<4:17:00, 4.47s/it][Dataset] cur_step=5549 phase=C_full_covt +[Dataset] cur_step=5549 phase=C_full_covt +[Dataset] cur_step=5549 phase=C_full_covt +[Dataset] cur_step=5549 phase=C_full_covt + 62%|██████████████████▍ | 5549/9000 [4:02:48<4:03:35, 4.24s/it][Dataset] cur_step=5549 phase=C_full_covt[Dataset] cur_step=5549 phase=C_full_covt + +[Dataset] cur_step=5549 phase=C_full_covt +[Dataset] cur_step=5549 phase=C_full_covt + {'loss': '3.273', 'grad_norm': '6.084', 'learning_rate': '1.755e-05', 'epoch': '0.1996'} + 62%|██████████████████▍ | 5549/9000 [4:02:48<4:03:35, 4.24s/it] {'lm_loss': '1.002', 'visual_loss': '2.491', 'seg_loss': '0.6321', 'dino_loss': '0.907', 'depth_loss': '0.249', 'vggt_mse_loss': '0.2474', 'vggt_cos_loss': '0.01587', 'pidinet_loss': '0.1889', 'siglip_loss': '0.5143', 'epoch': '0.1996'} + 62%|██████████████████▍ | 5549/9000 [4:02:51<4:03:35, 4.24s/it][Dataset] cur_step=5550 phase=C_full_covt +[Dataset] cur_step=5550 phase=C_full_covt +[Dataset] cur_step=5550 phase=C_full_covt +[Dataset] cur_step=5550 phase=C_full_covt[Dataset] cur_step=5550 phase=C_full_covt + + 62%|██████████████████▌ | 5550/9000 [4:02:52<3:58:48, 4.15s/it][Dataset] cur_step=5550 phase=C_full_covt +[Dataset] cur_step=5550 phase=C_full_covt +[Dataset] cur_step=5550 phase=C_full_covt + {'loss': '3.043', 'grad_norm': '1.852', 'learning_rate': '1.754e-05', 'epoch': '0.1997'} + 62%|██████████████████▌ | 5550/9000 [4:02:52<3:58:48, 4.15s/it] {'lm_loss': '0.5167', 'visual_loss': '2.624', 'seg_loss': '0.6928', 'dino_loss': '0.9324', 'depth_loss': '0.22', 'vggt_mse_loss': '0.2187', 'vggt_cos_loss': '0.01361', 'pidinet_loss': '0.2011', 'siglip_loss': '0.5778', 'epoch': '0.1997'} + 62%|██████████████████▌ | 5550/9000 [4:02:55<3:58:48, 4.15s/it][Dataset] cur_step=5551 phase=C_full_covt +[Dataset] cur_step=5551 phase=C_full_covt +[Dataset] cur_step=5551 phase=C_full_covt +[Dataset] cur_step=5551 phase=C_full_covt[Dataset] cur_step=5551 phase=C_full_covt + + 62%|██████████████████▌ | 5551/9000 [4:02:56<3:57:07, 4.13s/it][Dataset] cur_step=5551 phase=C_full_covt +[Dataset] cur_step=5551 phase=C_full_covt +[Dataset] cur_step=5551 phase=C_full_covt + {'loss': '3.162', 'grad_norm': '3.278', 'learning_rate': '1.753e-05', 'epoch': '0.1997'} + 62%|██████████████████▌ | 5551/9000 [4:02:56<3:57:07, 4.13s/it] {'lm_loss': '0.001403', 'visual_loss': '2.644', 'seg_loss': '0.7769', 'dino_loss': '0.927', 'depth_loss': '0.246', 'vggt_mse_loss': '0.244', 'vggt_cos_loss': '0.01942', 'pidinet_loss': '0.2368', 'siglip_loss': '0.4574', 'epoch': '0.1997'} + 62%|██████████████████▌ | 5551/9000 [4:02:59<3:57:07, 4.13s/it][Dataset] cur_step=5552 phase=C_full_covt +[Dataset] cur_step=5552 phase=C_full_covt[Dataset] cur_step=5552 phase=C_full_covt[Dataset] cur_step=5552 phase=C_full_covt + + +[Dataset] cur_step=5552 phase=C_full_covt +[Dataset] cur_step=5552 phase=C_full_covt 62%|██████████████████▌ | 5552/9000 [4:03:00<3:56:23, 4.11s/it] +[Dataset] cur_step=5552 phase=C_full_covt +[Dataset] cur_step=5552 phase=C_full_covt + {'loss': '2.878', 'grad_norm': '1.772', 'learning_rate': '1.752e-05', 'epoch': '0.1997'} + 62%|██████████████████▌ | 5552/9000 [4:03:00<3:56:23, 4.11s/it] {'lm_loss': '0.02651', 'visual_loss': '2.806', 'seg_loss': '0.7445', 'dino_loss': '0.887', 'depth_loss': '0.2187', 'vggt_mse_loss': '0.2171', 'vggt_cos_loss': '0.0162', 'pidinet_loss': '0.2568', 'siglip_loss': '0.6993', 'epoch': '0.1997'} + 62%|██████████████████▌ | 5552/9000 [4:03:04<3:56:23, 4.11s/it][Dataset] cur_step=5553 phase=C_full_covt +[Dataset] cur_step=5553 phase=C_full_covt +[Dataset] cur_step=5553 phase=C_full_covt[Dataset] cur_step=5553 phase=C_full_covt + + 62%|██████████████████▌ | 5553/9000 [4:03:05<4:14:07, 4.42s/it][Dataset] cur_step=5553 phase=C_full_covt[Dataset] cur_step=5553 phase=C_full_covt + +[Dataset] cur_step=5553 phase=C_full_covt +[Dataset] cur_step=5553 phase=C_full_covt + {'loss': '3.342', 'grad_norm': '1.83', 'learning_rate': '1.751e-05', 'epoch': '0.1998'} + 62%|██████████████████▌ | 5553/9000 [4:03:05<4:14:07, 4.42s/it] {'lm_loss': '0.01109', 'visual_loss': '2.689', 'seg_loss': '0.6949', 'dino_loss': '0.9015', 'depth_loss': '0.2144', 'vggt_mse_loss': '0.2129', 'vggt_cos_loss': '0.01488', 'pidinet_loss': '0.2879', 'siglip_loss': '0.59', 'epoch': '0.1998'} + 62%|██████████████████▌ | 5553/9000 [4:03:08<4:14:07, 4.42s/it][Dataset] cur_step=5554 phase=C_full_covt +[Dataset] cur_step=5554 phase=C_full_covt +[Dataset] cur_step=5554 phase=C_full_covt[Dataset] cur_step=5554 phase=C_full_covt + +[Dataset] cur_step=5554 phase=C_full_covt + 62%|██████████████████▌ | 5554/9000 [4:03:09<4:07:22, 4.31s/it][Dataset] cur_step=5554 phase=C_full_covt +[Dataset] cur_step=5554 phase=C_full_covt[Dataset] cur_step=5554 phase=C_full_covt + + {'loss': '3.192', 'grad_norm': '3.012', 'learning_rate': '1.75e-05', 'epoch': '0.1998'} + 62%|██████████████████▌ | 5554/9000 [4:03:09<4:07:22, 4.31s/it] {'lm_loss': '0.391', 'visual_loss': '2.771', 'seg_loss': '0.7107', 'dino_loss': '0.9276', 'depth_loss': '0.23', 'vggt_mse_loss': '0.2285', 'vggt_cos_loss': '0.01574', 'pidinet_loss': '0.2841', 'siglip_loss': '0.6185', 'epoch': '0.1998'} + 62%|██████████████████▌ | 5554/9000 [4:03:12<4:07:22, 4.31s/it][Dataset] cur_step=5555 phase=C_full_covt +[Dataset] cur_step=5555 phase=C_full_covt +[Dataset] cur_step=5555 phase=C_full_covt + 62%|██████████████████▌ | 5555/9000 [4:03:13<4:04:33, 4.26s/it][Dataset] cur_step=5555 phase=C_full_covt[Dataset] cur_step=5555 phase=C_full_covt + +[Dataset] cur_step=5555 phase=C_full_covt +[Dataset] cur_step=5555 phase=C_full_covt +[Dataset] cur_step=5555 phase=C_full_covt + {'loss': '2.815', 'grad_norm': '1.536', 'learning_rate': '1.749e-05', 'epoch': '0.1998'} + 62%|██████████████████▌ | 5555/9000 [4:03:13<4:04:33, 4.26s/it] {'lm_loss': '0.4819', 'visual_loss': '2.892', 'seg_loss': '0.7775', 'dino_loss': '0.902', 'depth_loss': '0.1861', 'vggt_mse_loss': '0.1849', 'vggt_cos_loss': '0.01204', 'pidinet_loss': '0.3034', 'siglip_loss': '0.7225', 'epoch': '0.1998'} + 62%|██████████████████▌ | 5555/9000 [4:03:17<4:04:33, 4.26s/it][Dataset] cur_step=5556 phase=C_full_covt +[Dataset] cur_step=5556 phase=C_full_covt +[Dataset] cur_step=5556 phase=C_full_covt[Dataset] cur_step=5556 phase=C_full_covt + + 62%|██████████████████▌ | 5556/9000 [4:03:17<4:00:06, 4.18s/it][Dataset] cur_step=5556 phase=C_full_covt +[Dataset] cur_step=5556 phase=C_full_covt +[Dataset] cur_step=5556 phase=C_full_covt +[Dataset] cur_step=5556 phase=C_full_covt + {'loss': '3.365', 'grad_norm': '3.384', 'learning_rate': '1.748e-05', 'epoch': '0.1999'} + 62%|██████████████████▌ | 5556/9000 [4:03:17<4:00:06, 4.18s/it] {'lm_loss': '0.006943', 'visual_loss': '2.646', 'seg_loss': '0.7232', 'dino_loss': '0.9158', 'depth_loss': '0.3019', 'vggt_mse_loss': '0.2999', 'vggt_cos_loss': '0.0203', 'pidinet_loss': '0.1699', 'siglip_loss': '0.5354', 'epoch': '0.1999'} + 62%|██████████████████▌ | 5556/9000 [4:03:20<4:00:06, 4.18s/it][Dataset] cur_step=5557 phase=C_full_covt +[Dataset] cur_step=5557 phase=C_full_covt +[Dataset] cur_step=5557 phase=C_full_covt +[Dataset] cur_step=5557 phase=C_full_covt[Dataset] cur_step=5557 phase=C_full_covt + +[Dataset] cur_step=5557 phase=C_full_covt + 62%|██████████████████▌ | 5557/9000 [4:03:21<4:00:04, 4.18s/it][Dataset] cur_step=5557 phase=C_full_covt +[Dataset] cur_step=5557 phase=C_full_covt + {'loss': '3.134', 'grad_norm': '2.428', 'learning_rate': '1.748e-05', 'epoch': '0.1999'} + 62%|██████████████████▌ | 5557/9000 [4:03:21<4:00:04, 4.18s/it] {'lm_loss': '0.7797', 'visual_loss': '2.655', 'seg_loss': '0.6827', 'dino_loss': '0.8731', 'depth_loss': '0.2331', 'vggt_mse_loss': '0.2315', 'vggt_cos_loss': '0.0155', 'pidinet_loss': '0.2631', 'siglip_loss': '0.603', 'epoch': '0.1999'} + 62%|██████████████████▌ | 5557/9000 [4:03:25<4:00:04, 4.18s/it][Dataset] cur_step=5558 phase=C_full_covt[Dataset] cur_step=5558 phase=C_full_covt + +[Dataset] cur_step=5558 phase=C_full_covt + 62%|██████████████████▌ | 5558/9000 [4:03:25<3:56:27, 4.12s/it][Dataset] cur_step=5558 phase=C_full_covt +[Dataset] cur_step=5558 phase=C_full_covt +[Dataset] cur_step=5558 phase=C_full_covt[Dataset] cur_step=5558 phase=C_full_covt + +[Dataset] cur_step=5558 phase=C_full_covt + {'loss': '3.245', 'grad_norm': '2.057', 'learning_rate': '1.747e-05', 'epoch': '0.1999'} + 62%|██████████████████▌ | 5558/9000 [4:03:25<3:56:27, 4.12s/it] {'lm_loss': '0.007692', 'visual_loss': '2.599', 'seg_loss': '0.6496', 'dino_loss': '0.9148', 'depth_loss': '0.2272', 'vggt_mse_loss': '0.2252', 'vggt_cos_loss': '0.01927', 'pidinet_loss': '0.2641', 'siglip_loss': '0.5433', 'epoch': '0.1999'} + 62%|██████████████████▌ | 5558/9000 [4:03:29<3:56:27, 4.12s/it][Dataset] cur_step=5559 phase=C_full_covt +[Dataset] cur_step=5559 phase=C_full_covt[Dataset] cur_step=5559 phase=C_full_covt[Dataset] cur_step=5559 phase=C_full_covt + + +[Dataset] cur_step=5559 phase=C_full_covt +[Dataset] cur_step=5559 phase=C_full_covt + 62%|██████████████████▌ | 5559/9000 [4:03:29<3:55:17, 4.10s/it][Dataset] cur_step=5559 phase=C_full_covt +[Dataset] cur_step=5559 phase=C_full_covt + {'loss': '3.135', 'grad_norm': '2.41', 'learning_rate': '1.746e-05', 'epoch': '0.2'} + 62%|██████████████████▌ | 5559/9000 [4:03:29<3:55:17, 4.10s/it] {'lm_loss': '0.231', 'visual_loss': '2.954', 'seg_loss': '0.8382', 'dino_loss': '0.9125', 'depth_loss': '0.3386', 'vggt_mse_loss': '0.3356', 'vggt_cos_loss': '0.03002', 'pidinet_loss': '0.2704', 'siglip_loss': '0.5939', 'epoch': '0.2'} + 62%|██████████████████▌ | 5559/9000 [4:03:32<3:55:17, 4.10s/it][Dataset] cur_step=5560 phase=C_full_covt +[Dataset] cur_step=5560 phase=C_full_covt[Dataset] cur_step=5560 phase=C_full_covt + +[Dataset] cur_step=5560 phase=C_full_covt +[Dataset] cur_step=5560 phase=C_full_covt +[Dataset] cur_step=5560 phase=C_full_covt +[Dataset] cur_step=5560 phase=C_full_covt +[Dataset] cur_step=5560 phase=C_full_covt + 62%|██████████████████▌ | 5560/9000 [4:03:34<3:57:06, 4.14s/it] {'loss': '3.145', 'grad_norm': '1.608', 'learning_rate': '1.745e-05', 'epoch': '0.2'} + 62%|██████████████████▌ | 5560/9000 [4:03:34<3:57:06, 4.14s/it] {'lm_loss': '0.5889', 'visual_loss': '2.907', 'seg_loss': '0.7762', 'dino_loss': '0.9254', 'depth_loss': '0.1994', 'vggt_mse_loss': '0.1982', 'vggt_cos_loss': '0.01177', 'pidinet_loss': '0.2557', 'siglip_loss': '0.7507', 'epoch': '0.2'} + 62%|██████████████████▌ | 5560/9000 [4:03:36<3:57:06, 4.14s/it][Dataset] cur_step=5561 phase=C_full_covt +[Dataset] cur_step=5561 phase=C_full_covt +[Dataset] cur_step=5561 phase=C_full_covt +[Dataset] cur_step=5561 phase=C_full_covt + 62%|██████████████████▌ | 5561/9000 [4:03:38<3:52:42, 4.06s/it][Dataset] cur_step=5561 phase=C_full_covt +[Dataset] cur_step=5561 phase=C_full_covt +[Dataset] cur_step=5561 phase=C_full_covt +[Dataset] cur_step=5561 phase=C_full_covt + {'loss': '3.296', 'grad_norm': '1.953', 'learning_rate': '1.744e-05', 'epoch': '0.2001'} + 62%|██████████████████▌ | 5561/9000 [4:03:38<3:52:42, 4.06s/it] {'lm_loss': '0.5407', 'visual_loss': '2.756', 'seg_loss': '0.7786', 'dino_loss': '0.9035', 'depth_loss': '0.2095', 'vggt_mse_loss': '0.2081', 'vggt_cos_loss': '0.01416', 'pidinet_loss': '0.2202', 'siglip_loss': '0.6446', 'epoch': '0.2001'} + 62%|██████████████████▌ | 5561/9000 [4:03:41<3:52:42, 4.06s/it][Dataset] cur_step=5562 phase=C_full_covt +[Dataset] cur_step=5562 phase=C_full_covt +[Dataset] cur_step=5562 phase=C_full_covt +[Dataset] cur_step=5562 phase=C_full_covt +[Dataset] cur_step=5562 phase=C_full_covt[Dataset] cur_step=5562 phase=C_full_covt + +[Dataset] cur_step=5562 phase=C_full_covt 62%|██████████████████▌ | 5562/9000 [4:03:42<3:57:25, 4.14s/it] +[Dataset] cur_step=5562 phase=C_full_covt + {'loss': '3.06', 'grad_norm': '2.34', 'learning_rate': '1.743e-05', 'epoch': '0.2001'} + 62%|██████████████████▌ | 5562/9000 [4:03:42<3:57:25, 4.14s/it] {'lm_loss': '0.7615', 'visual_loss': '2.537', 'seg_loss': '0.7313', 'dino_loss': '0.9016', 'depth_loss': '0.1925', 'vggt_mse_loss': '0.1909', 'vggt_cos_loss': '0.0152', 'pidinet_loss': '0.216', 'siglip_loss': '0.4954', 'epoch': '0.2001'} + 62%|██████████████████▌ | 5562/9000 [4:03:45<3:57:25, 4.14s/it][Dataset] cur_step=5563 phase=C_full_covt +[Dataset] cur_step=5563 phase=C_full_covt + 62%|██████████████████▌ | 5563/9000 [4:03:46<3:56:15, 4.12s/it][Dataset] cur_step=5563 phase=C_full_covt +[Dataset] cur_step=5563 phase=C_full_covt +[Dataset] cur_step=5563 phase=C_full_covt +[Dataset] cur_step=5563 phase=C_full_covt +[Dataset] cur_step=5563 phase=C_full_covt +[Dataset] cur_step=5563 phase=C_full_covt + {'loss': '3.146', 'grad_norm': '1.63', 'learning_rate': '1.742e-05', 'epoch': '0.2001'} + 62%|██████████████████▌ | 5563/9000 [4:03:46<3:56:15, 4.12s/it] {'lm_loss': '0.3141', 'visual_loss': '3.034', 'seg_loss': '0.8385', 'dino_loss': '0.9141', 'depth_loss': '0.2539', 'vggt_mse_loss': '0.2519', 'vggt_cos_loss': '0.01988', 'pidinet_loss': '0.2837', 'siglip_loss': '0.7435', 'epoch': '0.2001'} + 62%|██████████████████▌ | 5563/9000 [4:03:49<3:56:15, 4.12s/it][Dataset] cur_step=5564 phase=C_full_covt +[Dataset] cur_step=5564 phase=C_full_covt +[Dataset] cur_step=5564 phase=C_full_covt +[Dataset] cur_step=5564 phase=C_full_covt[Dataset] cur_step=5564 phase=C_full_covt +[Dataset] cur_step=5564 phase=C_full_covt + + 62%|██████████████████▌ | 5564/9000 [4:03:50<3:58:20, 4.16s/it][Dataset] cur_step=5564 phase=C_full_covt +[Dataset] cur_step=5564 phase=C_full_covt + {'loss': '2.97', 'grad_norm': '2.119', 'learning_rate': '1.741e-05', 'epoch': '0.2002'} + 62%|██████████████████▌ | 5564/9000 [4:03:50<3:58:20, 4.16s/it] {'lm_loss': '0.793', 'visual_loss': '2.567', 'seg_loss': '0.6648', 'dino_loss': '0.9272', 'depth_loss': '0.1874', 'vggt_mse_loss': '0.186', 'vggt_cos_loss': '0.0142', 'pidinet_loss': '0.2001', 'siglip_loss': '0.5872', 'epoch': '0.2002'} + 62%|██████████████████▌ | 5564/9000 [4:03:53<3:58:20, 4.16s/it][Dataset] cur_step=5565 phase=C_full_covt +[Dataset] cur_step=5565 phase=C_full_covt +[Dataset] cur_step=5565 phase=C_full_covt +[Dataset] cur_step=5565 phase=C_full_covt +[Dataset] cur_step=5565 phase=C_full_covt + 62%|██████████████████▌ | 5565/9000 [4:03:54<3:55:49, 4.12s/it][Dataset] cur_step=5565 phase=C_full_covt +[Dataset] cur_step=5565 phase=C_full_covt +[Dataset] cur_step=5565 phase=C_full_covt + {'loss': '3.172', 'grad_norm': '5.439', 'learning_rate': '1.741e-05', 'epoch': '0.2002'} + 62%|██████████████████▌ | 5565/9000 [4:03:54<3:55:49, 4.12s/it] {'lm_loss': '0.1843', 'visual_loss': '2.937', 'seg_loss': '0.7113', 'dino_loss': '0.9277', 'depth_loss': '0.2829', 'vggt_mse_loss': '0.2808', 'vggt_cos_loss': '0.02065', 'pidinet_loss': '0.267', 'siglip_loss': '0.7484', 'epoch': '0.2002'} + 62%|██████████████████▌ | 5565/9000 [4:03:57<3:55:49, 4.12s/it][Dataset] cur_step=5566 phase=C_full_covt +[Dataset] cur_step=5566 phase=C_full_covt +[Dataset] cur_step=5566 phase=C_full_covt +[Dataset] cur_step=5566 phase=C_full_covt +[Dataset] cur_step=5566 phase=C_full_covt +[Dataset] cur_step=5566 phase=C_full_covt +[Dataset] cur_step=5566 phase=C_full_covt +[Dataset] cur_step=5566 phase=C_full_covt + 62%|██████████████████▌ | 5566/9000 [4:03:58<3:53:33, 4.08s/it] {'loss': '3.032', 'grad_norm': '1.724', 'learning_rate': '1.74e-05', 'epoch': '0.2002'} + 62%|██████████████████▌ | 5566/9000 [4:03:58<3:53:33, 4.08s/it] {'lm_loss': '0.5554', 'visual_loss': '2.814', 'seg_loss': '0.7108', 'dino_loss': '0.9017', 'depth_loss': '0.3387', 'vggt_mse_loss': '0.3367', 'vggt_cos_loss': '0.0193', 'pidinet_loss': '0.2875', 'siglip_loss': '0.5753', 'epoch': '0.2002'} + 62%|██████████████████▌ | 5566/9000 [4:04:01<3:53:33, 4.08s/it][Dataset] cur_step=5567 phase=C_full_covt +[Dataset] cur_step=5567 phase=C_full_covt +[Dataset] cur_step=5567 phase=C_full_covt[Dataset] cur_step=5567 phase=C_full_covt[Dataset] cur_step=5567 phase=C_full_covt + + +[Dataset] cur_step=5567 phase=C_full_covt + 62%|██████████████████▌ | 5567/9000 [4:04:02<3:49:20, 4.01s/it][Dataset] cur_step=5567 phase=C_full_covt +[Dataset] cur_step=5567 phase=C_full_covt + {'loss': '3.142', 'grad_norm': '2.84', 'learning_rate': '1.739e-05', 'epoch': '0.2003'} + 62%|██████████████████▌ | 5567/9000 [4:04:02<3:49:20, 4.01s/it] {'lm_loss': '0.4051', 'visual_loss': '2.613', 'seg_loss': '0.6954', 'dino_loss': '0.8721', 'depth_loss': '0.2011', 'vggt_mse_loss': '0.1998', 'vggt_cos_loss': '0.0129', 'pidinet_loss': '0.2207', 'siglip_loss': '0.6236', 'epoch': '0.2003'} + 62%|██████████████████▌ | 5567/9000 [4:04:05<3:49:20, 4.01s/it][Dataset] cur_step=5568 phase=C_full_covt +[Dataset] cur_step=5568 phase=C_full_covt +[Dataset] cur_step=5568 phase=C_full_covt +[Dataset] cur_step=5568 phase=C_full_covt +[Dataset] cur_step=5568 phase=C_full_covt +[Dataset] cur_step=5568 phase=C_full_covt +[Dataset] cur_step=5568 phase=C_full_covt +[Dataset] cur_step=5568 phase=C_full_covt + 62%|██████████████████▌ | 5568/9000 [4:04:06<3:51:36, 4.05s/it] {'loss': '3.055', 'grad_norm': '2.105', 'learning_rate': '1.738e-05', 'epoch': '0.2003'} + 62%|██████████████████▌ | 5568/9000 [4:04:06<3:51:36, 4.05s/it] {'lm_loss': '0.5624', 'visual_loss': '2.661', 'seg_loss': '0.5804', 'dino_loss': '0.9302', 'depth_loss': '0.2272', 'vggt_mse_loss': '0.2254', 'vggt_cos_loss': '0.01795', 'pidinet_loss': '0.2718', 'siglip_loss': '0.6511', 'epoch': '0.2003'} + 62%|██████████████████▌ | 5568/9000 [4:04:09<3:51:36, 4.05s/it][Dataset] cur_step=5569 phase=C_full_covt +[Dataset] cur_step=5569 phase=C_full_covt[Dataset] cur_step=5569 phase=C_full_covt + +[Dataset] cur_step=5569 phase=C_full_covt +[Dataset] cur_step=5569 phase=C_full_covt +[Dataset] cur_step=5569 phase=C_full_covt[Dataset] cur_step=5569 phase=C_full_covt + +[Dataset] cur_step=5569 phase=C_full_covt + 62%|██████████████████▌ | 5569/9000 [4:04:10<3:50:48, 4.04s/it] {'loss': '3.144', 'grad_norm': '7.248', 'learning_rate': '1.737e-05', 'epoch': '0.2003'} + 62%|██████████████████▌ | 5569/9000 [4:04:10<3:50:48, 4.04s/it] {'lm_loss': '0.7021', 'visual_loss': '2.819', 'seg_loss': '0.8419', 'dino_loss': '0.925', 'depth_loss': '0.2814', 'vggt_mse_loss': '0.2797', 'vggt_cos_loss': '0.01675', 'pidinet_loss': '0.2625', 'siglip_loss': '0.508', 'epoch': '0.2003'} + 62%|██████████████████▌ | 5569/9000 [4:04:13<3:50:48, 4.04s/it][Dataset] cur_step=5570 phase=C_full_covt +[Dataset] cur_step=5570 phase=C_full_covt +[Dataset] cur_step=5570 phase=C_full_covt +[Dataset] cur_step=5570 phase=C_full_covt[Dataset] cur_step=5570 phase=C_full_covt + +[Dataset] cur_step=5570 phase=C_full_covt +[Dataset] cur_step=5570 phase=C_full_covt[Dataset] cur_step=5570 phase=C_full_covt + + 62%|██████████████████▌ | 5570/9000 [4:04:14<3:48:48, 4.00s/it] {'loss': '3.142', 'grad_norm': '1.811', 'learning_rate': '1.736e-05', 'epoch': '0.2004'} + 62%|██████████████████▌ | 5570/9000 [4:04:14<3:48:48, 4.00s/it] {'lm_loss': '0.4014', 'visual_loss': '2.521', 'seg_loss': '0.626', 'dino_loss': '0.8982', 'depth_loss': '0.2468', 'vggt_mse_loss': '0.2453', 'vggt_cos_loss': '0.01426', 'pidinet_loss': '0.2415', 'siglip_loss': '0.5085', 'epoch': '0.2004'} + 62%|██████████████████▌ | 5570/9000 [4:04:18<3:48:48, 4.00s/it][Dataset] cur_step=5571 phase=C_full_covt +[Dataset] cur_step=5571 phase=C_full_covt +[Dataset] cur_step=5571 phase=C_full_covt +[Dataset] cur_step=5571 phase=C_full_covt + 62%|██████████████████▌ | 5571/9000 [4:04:18<3:45:18, 3.94s/it][Dataset] cur_step=5571 phase=C_full_covt +[Dataset] cur_step=5571 phase=C_full_covt +[Dataset] cur_step=5571 phase=C_full_covt +[Dataset] cur_step=5571 phase=C_full_covt + {'loss': '3.155', 'grad_norm': '1.679', 'learning_rate': '1.735e-05', 'epoch': '0.2004'} + 62%|██████████████████▌ | 5571/9000 [4:04:18<3:45:18, 3.94s/it] {'lm_loss': '0.3938', 'visual_loss': '2.869', 'seg_loss': '0.7404', 'dino_loss': '0.9247', 'depth_loss': '0.1857', 'vggt_mse_loss': '0.1846', 'vggt_cos_loss': '0.01106', 'pidinet_loss': '0.2866', 'siglip_loss': '0.7316', 'epoch': '0.2004'} + 62%|██████████████████▌ | 5571/9000 [4:04:21<3:45:18, 3.94s/it][Dataset] cur_step=5572 phase=C_full_covt +[Dataset] cur_step=5572 phase=C_full_covt +[Dataset] cur_step=5572 phase=C_full_covt[Dataset] cur_step=5572 phase=C_full_covt + +[Dataset] cur_step=5572 phase=C_full_covt +[Dataset] cur_step=5572 phase=C_full_covt[Dataset] cur_step=5572 phase=C_full_covt + + 62%|██████████████████▌ | 5572/9000 [4:04:22<3:49:13, 4.01s/it][Dataset] cur_step=5572 phase=C_full_covt + {'loss': '3.054', 'grad_norm': '3.711', 'learning_rate': '1.734e-05', 'epoch': '0.2005'} + 62%|██████████████████▌ | 5572/9000 [4:04:22<3:49:13, 4.01s/it] {'lm_loss': '0.001012', 'visual_loss': '2.612', 'seg_loss': '0.7655', 'dino_loss': '0.9168', 'depth_loss': '0.2488', 'vggt_mse_loss': '0.2471', 'vggt_cos_loss': '0.01706', 'pidinet_loss': '0.2152', 'siglip_loss': '0.4654', 'epoch': '0.2005'} + 62%|██████████████████▌ | 5572/9000 [4:04:26<3:49:13, 4.01s/it][Dataset] cur_step=5573 phase=C_full_covt +[Dataset] cur_step=5573 phase=C_full_covt +[Dataset] cur_step=5573 phase=C_full_covt +[Dataset] cur_step=5573 phase=C_full_covt[Dataset] cur_step=5573 phase=C_full_covt + +[Dataset] cur_step=5573 phase=C_full_covt + 62%|██████████████████▌ | 5573/9000 [4:04:26<3:53:31, 4.09s/it][Dataset] cur_step=5573 phase=C_full_covt +[Dataset] cur_step=5573 phase=C_full_covt + {'loss': '3.155', 'grad_norm': '3.146', 'learning_rate': '1.734e-05', 'epoch': '0.2005'} + 62%|██████████████████▌ | 5573/9000 [4:04:26<3:53:31, 4.09s/it] {'lm_loss': '0.4842', 'visual_loss': '2.89', 'seg_loss': '0.6988', 'dino_loss': '0.9372', 'depth_loss': '0.2667', 'vggt_mse_loss': '0.2648', 'vggt_cos_loss': '0.01885', 'pidinet_loss': '0.2494', 'siglip_loss': '0.7376', 'epoch': '0.2005'} + 62%|██████████████████▌ | 5573/9000 [4:04:29<3:53:31, 4.09s/it][Dataset] cur_step=5574 phase=C_full_covt +[Dataset] cur_step=5574 phase=C_full_covt[Dataset] cur_step=5574 phase=C_full_covt + +[Dataset] cur_step=5574 phase=C_full_covt[Dataset] cur_step=5574 phase=C_full_covt + +[Dataset] cur_step=5574 phase=C_full_covt +[Dataset] cur_step=5574 phase=C_full_covt + 62%|██████████████████▌ | 5574/9000 [4:04:31<3:57:09, 4.15s/it][Dataset] cur_step=5574 phase=C_full_covt + {'loss': '3.026', 'grad_norm': '3.547', 'learning_rate': '1.733e-05', 'epoch': '0.2005'} + 62%|██████████████████▌ | 5574/9000 [4:04:31<3:57:09, 4.15s/it] {'lm_loss': '0.1021', 'visual_loss': '2.682', 'seg_loss': '0.7589', 'dino_loss': '0.9277', 'depth_loss': '0.2781', 'vggt_mse_loss': '0.2762', 'vggt_cos_loss': '0.01938', 'pidinet_loss': '0.2756', 'siglip_loss': '0.4417', 'epoch': '0.2005'} + 62%|██████████████████▌ | 5574/9000 [4:04:34<3:57:09, 4.15s/it][Dataset] cur_step=5575 phase=C_full_covt +[Dataset] cur_step=5575 phase=C_full_covt[Dataset] cur_step=5575 phase=C_full_covt + +[Dataset] cur_step=5575 phase=C_full_covt[Dataset] cur_step=5575 phase=C_full_covt + +[Dataset] cur_step=5575 phase=C_full_covt +[Dataset] cur_step=5575 phase=C_full_covt + 62%|██████████████████▌ | 5575/9000 [4:04:35<3:57:27, 4.16s/it][Dataset] cur_step=5575 phase=C_full_covt + {'loss': '2.95', 'grad_norm': '2.919', 'learning_rate': '1.732e-05', 'epoch': '0.2006'} + 62%|██████████████████▌ | 5575/9000 [4:04:35<3:57:27, 4.16s/it] {'lm_loss': '0.3836', 'visual_loss': '2.79', 'seg_loss': '0.7085', 'dino_loss': '0.9234', 'depth_loss': '0.2029', 'vggt_mse_loss': '0.2014', 'vggt_cos_loss': '0.01445', 'pidinet_loss': '0.2688', 'siglip_loss': '0.6859', 'epoch': '0.2006'} + 62%|██████████████████▌ | 5575/9000 [4:04:41<3:57:27, 4.16s/it][Dataset] cur_step=5576 phase=C_full_covt + 62%|██████████████████▌ | 5576/9000 [4:04:41<4:31:24, 4.76s/it][Dataset] cur_step=5576 phase=C_full_covt +[Dataset] cur_step=5576 phase=C_full_covt +[Dataset] cur_step=5576 phase=C_full_covt +[Dataset] cur_step=5576 phase=C_full_covt[Dataset] cur_step=5576 phase=C_full_covt + +[Dataset] cur_step=5576 phase=C_full_covt +[Dataset] cur_step=5576 phase=C_full_covt + {'loss': '3.216', 'grad_norm': '2.039', 'learning_rate': '1.731e-05', 'epoch': '0.2006'} + 62%|██████████████████▌ | 5576/9000 [4:04:41<4:31:24, 4.76s/it] {'lm_loss': '0.4311', 'visual_loss': '2.631', 'seg_loss': '0.6749', 'dino_loss': '0.8911', 'depth_loss': '0.248', 'vggt_mse_loss': '0.2462', 'vggt_cos_loss': '0.01828', 'pidinet_loss': '0.2015', 'siglip_loss': '0.6154', 'epoch': '0.2006'} + 62%|██████████████████▌ | 5576/9000 [4:04:44<4:31:24, 4.76s/it][Dataset] cur_step=5577 phase=C_full_covt[Dataset] cur_step=5577 phase=C_full_covt + +[Dataset] cur_step=5577 phase=C_full_covt[Dataset] cur_step=5577 phase=C_full_covt + +[Dataset] cur_step=5577 phase=C_full_covt +[Dataset] cur_step=5577 phase=C_full_covt[Dataset] cur_step=5577 phase=C_full_covt + +[Dataset] cur_step=5577 phase=C_full_covt + 62%|██████████████████▌ | 5577/9000 [4:04:45<4:11:18, 4.41s/it] {'loss': '2.988', 'grad_norm': '1.924', 'learning_rate': '1.73e-05', 'epoch': '0.2006'} + 62%|██████████████████▌ | 5577/9000 [4:04:45<4:11:18, 4.41s/it] {'lm_loss': '0.5935', 'visual_loss': '2.684', 'seg_loss': '0.7388', 'dino_loss': '0.9003', 'depth_loss': '0.2097', 'vggt_mse_loss': '0.2081', 'vggt_cos_loss': '0.01522', 'pidinet_loss': '0.2678', 'siglip_loss': '0.567', 'epoch': '0.2006'} + 62%|██████████████████▌ | 5577/9000 [4:04:48<4:11:18, 4.41s/it][Dataset] cur_step=5578 phase=C_full_covt[Dataset] cur_step=5578 phase=C_full_covt + +[Dataset] cur_step=5578 phase=C_full_covt[Dataset] cur_step=5578 phase=C_full_covt + +[Dataset] cur_step=5578 phase=C_full_covt[Dataset] cur_step=5578 phase=C_full_covt + + 62%|██████████████████▌ | 5578/9000 [4:04:49<4:06:58, 4.33s/it][Dataset] cur_step=5578 phase=C_full_covt +[Dataset] cur_step=5578 phase=C_full_covt + {'loss': '3.13', 'grad_norm': '2.839', 'learning_rate': '1.729e-05', 'epoch': '0.2007'} + 62%|██████████████████▌ | 5578/9000 [4:04:49<4:06:58, 4.33s/it] {'lm_loss': '0.3214', 'visual_loss': '2.734', 'seg_loss': '0.7348', 'dino_loss': '0.9206', 'depth_loss': '0.3316', 'vggt_mse_loss': '0.3296', 'vggt_cos_loss': '0.02028', 'pidinet_loss': '0.2261', 'siglip_loss': '0.5206', 'epoch': '0.2007'} + 62%|██████████████████▌ | 5578/9000 [4:04:52<4:06:58, 4.33s/it][Dataset] cur_step=5579 phase=C_full_covt +[Dataset] cur_step=5579 phase=C_full_covt +[Dataset] cur_step=5579 phase=C_full_covt +[Dataset] cur_step=5579 phase=C_full_covt +[Dataset] cur_step=5579 phase=C_full_covt[Dataset] cur_step=5579 phase=C_full_covt + +[Dataset] cur_step=5579 phase=C_full_covt +[Dataset] cur_step=5579 phase=C_full_covt + 62%|██████████████████▌ | 5579/9000 [4:04:53<4:05:34, 4.31s/it] {'loss': '2.992', 'grad_norm': '2.91', 'learning_rate': '1.728e-05', 'epoch': '0.2007'} + 62%|██████████████████▌ | 5579/9000 [4:04:53<4:05:34, 4.31s/it] {'lm_loss': '1.02', 'visual_loss': '2.918', 'seg_loss': '0.8033', 'dino_loss': '0.9179', 'depth_loss': '0.2703', 'vggt_mse_loss': '0.2682', 'vggt_cos_loss': '0.02075', 'pidinet_loss': '0.245', 'siglip_loss': '0.6815', 'epoch': '0.2007'} + 62%|██████████████████▌ | 5579/9000 [4:04:56<4:05:34, 4.31s/it][Dataset] cur_step=5580 phase=C_full_covt +[Dataset] cur_step=5580 phase=C_full_covt +[Dataset] cur_step=5580 phase=C_full_covt[Dataset] cur_step=5580 phase=C_full_covt + +[Dataset] cur_step=5580 phase=C_full_covt +[Dataset] cur_step=5580 phase=C_full_covt +[Dataset] cur_step=5580 phase=C_full_covt +[Dataset] cur_step=5580 phase=C_full_covt + 62%|██████████████████▌ | 5580/9000 [4:04:57<3:57:05, 4.16s/it] {'loss': '3.207', 'grad_norm': '2.396', 'learning_rate': '1.727e-05', 'epoch': '0.2007'} + 62%|██████████████████▌ | 5580/9000 [4:04:57<3:57:05, 4.16s/it] {'lm_loss': '1.039', 'visual_loss': '2.643', 'seg_loss': '0.7028', 'dino_loss': '0.9066', 'depth_loss': '0.2343', 'vggt_mse_loss': '0.2326', 'vggt_cos_loss': '0.0174', 'pidinet_loss': '0.2484', 'siglip_loss': '0.5508', 'epoch': '0.2007'} + 62%|██████████████████▌ | 5580/9000 [4:05:00<3:57:05, 4.16s/it][Dataset] cur_step=5581 phase=C_full_covt +[Dataset] cur_step=5581 phase=C_full_covt +[Dataset] cur_step=5581 phase=C_full_covt +[Dataset] cur_step=5581 phase=C_full_covt[Dataset] cur_step=5581 phase=C_full_covt + +[Dataset] cur_step=5581 phase=C_full_covt[Dataset] cur_step=5581 phase=C_full_covt + + 62%|██████████████████▌ | 5581/9000 [4:05:03<4:38:32, 4.89s/it][Dataset] cur_step=5581 phase=C_full_covt + {'loss': '3.148', 'grad_norm': '5.053', 'learning_rate': '1.727e-05', 'epoch': '0.2008'} + 62%|██████████████████▌ | 5581/9000 [4:05:03<4:38:32, 4.89s/it] {'lm_loss': '0.03496', 'visual_loss': '2.725', 'seg_loss': '0.8212', 'dino_loss': '0.9403', 'depth_loss': '0.2666', 'vggt_mse_loss': '0.265', 'vggt_cos_loss': '0.01639', 'pidinet_loss': '0.2372', 'siglip_loss': '0.4594', 'epoch': '0.2008'} + 62%|██████████████████▌ | 5581/9000 [4:05:06<4:38:32, 4.89s/it][Dataset] cur_step=5582 phase=C_full_covt[Dataset] cur_step=5582 phase=C_full_covt +[Dataset] cur_step=5582 phase=C_full_covt + +[Dataset] cur_step=5582 phase=C_full_covt[Dataset] cur_step=5582 phase=C_full_covt + +[Dataset] cur_step=5582 phase=C_full_covt +[Dataset] cur_step=5582 phase=C_full_covt +[Dataset] cur_step=5582 phase=C_full_covt + 62%|██████████████████▌ | 5582/9000 [4:05:07<4:22:19, 4.61s/it] {'loss': '3.096', 'grad_norm': '24.96', 'learning_rate': '1.726e-05', 'epoch': '0.2008'} + 62%|██████████████████▌ | 5582/9000 [4:05:07<4:22:19, 4.61s/it] {'lm_loss': '0.004542', 'visual_loss': '2.479', 'seg_loss': '0.5424', 'dino_loss': '0.887', 'depth_loss': '0.2233', 'vggt_mse_loss': '0.2215', 'vggt_cos_loss': '0.0188', 'pidinet_loss': '0.2143', 'siglip_loss': '0.6115', 'epoch': '0.2008'} + 62%|██████████████████▌ | 5582/9000 [4:05:10<4:22:19, 4.61s/it][Dataset] cur_step=5583 phase=C_full_covt +[Dataset] cur_step=5583 phase=C_full_covt +[Dataset] cur_step=5583 phase=C_full_covt +[Dataset] cur_step=5583 phase=C_full_covt[Dataset] cur_step=5583 phase=C_full_covt + +[Dataset] cur_step=5583 phase=C_full_covt +[Dataset] cur_step=5583 phase=C_full_covt +[Dataset] cur_step=5583 phase=C_full_covt + 62%|██████████████████▌ | 5583/9000 [4:05:11<4:10:25, 4.40s/it] {'loss': '3.091', 'grad_norm': '1.899', 'learning_rate': '1.725e-05', 'epoch': '0.2008'} + 62%|██████████████████▌ | 5583/9000 [4:05:11<4:10:25, 4.40s/it] {'lm_loss': '0.01875', 'visual_loss': '2.624', 'seg_loss': '0.6806', 'dino_loss': '0.9232', 'depth_loss': '0.2864', 'vggt_mse_loss': '0.2841', 'vggt_cos_loss': '0.02262', 'pidinet_loss': '0.2577', 'siglip_loss': '0.4767', 'epoch': '0.2008'} + 62%|██████████████████▌ | 5583/9000 [4:05:14<4:10:25, 4.40s/it][Dataset] cur_step=5584 phase=C_full_covt +[Dataset] cur_step=5584 phase=C_full_covt +[Dataset] cur_step=5584 phase=C_full_covt[Dataset] cur_step=5584 phase=C_full_covt + +[Dataset] cur_step=5584 phase=C_full_covt[Dataset] cur_step=5584 phase=C_full_covt + +[Dataset] cur_step=5584 phase=C_full_covt + 62%|██████████████████▌ | 5584/9000 [4:05:16<4:08:51, 4.37s/it][Dataset] cur_step=5584 phase=C_full_covt + {'loss': '2.962', 'grad_norm': '1.615', 'learning_rate': '1.724e-05', 'epoch': '0.2009'} + 62%|██████████████████▌ | 5584/9000 [4:05:16<4:08:51, 4.37s/it] {'lm_loss': '0.4621', 'visual_loss': '2.763', 'seg_loss': '0.6596', 'dino_loss': '0.9142', 'depth_loss': '0.3127', 'vggt_mse_loss': '0.3104', 'vggt_cos_loss': '0.02243', 'pidinet_loss': '0.259', 'siglip_loss': '0.6178', 'epoch': '0.2009'} + 62%|██████████████████▌ | 5584/9000 [4:05:19<4:08:51, 4.37s/it][Dataset] cur_step=5585 phase=C_full_covt[Dataset] cur_step=5585 phase=C_full_covt + +[Dataset] cur_step=5585 phase=C_full_covt +[Dataset] cur_step=5585 phase=C_full_covt[Dataset] cur_step=5585 phase=C_full_covt + +[Dataset] cur_step=5585 phase=C_full_covt +[Dataset] cur_step=5585 phase=C_full_covt + 62%|██████████████████▌ | 5585/9000 [4:05:20<4:02:57, 4.27s/it][Dataset] cur_step=5585 phase=C_full_covt + {'loss': '3.032', 'grad_norm': '1.854', 'learning_rate': '1.723e-05', 'epoch': '0.2009'} + 62%|██████████████████▌ | 5585/9000 [4:05:20<4:02:57, 4.27s/it] {'lm_loss': '0.9168', 'visual_loss': '2.783', 'seg_loss': '0.6888', 'dino_loss': '0.9175', 'depth_loss': '0.2865', 'vggt_mse_loss': '0.2842', 'vggt_cos_loss': '0.02253', 'pidinet_loss': '0.2026', 'siglip_loss': '0.6876', 'epoch': '0.2009'} + 62%|██████████████████▌ | 5585/9000 [4:05:23<4:02:57, 4.27s/it][Dataset] cur_step=5586 phase=C_full_covt +[Dataset] cur_step=5586 phase=C_full_covt +[Dataset] cur_step=5586 phase=C_full_covt +[Dataset] cur_step=5586 phase=C_full_covt +[Dataset] cur_step=5586 phase=C_full_covt +[Dataset] cur_step=5586 phase=C_full_covt[Dataset] cur_step=5586 phase=C_full_covt +[Dataset] cur_step=5586 phase=C_full_covt + + 62%|██████████████████▌ | 5586/9000 [4:05:24<3:58:17, 4.19s/it] {'loss': '3.398', 'grad_norm': '2.017', 'learning_rate': '1.722e-05', 'epoch': '0.201'} + 62%|██████████████████▌ | 5586/9000 [4:05:24<3:58:17, 4.19s/it] {'lm_loss': '0.1761', 'visual_loss': '2.802', 'seg_loss': '0.6918', 'dino_loss': '0.8889', 'depth_loss': '0.3032', 'vggt_mse_loss': '0.3013', 'vggt_cos_loss': '0.01903', 'pidinet_loss': '0.2763', 'siglip_loss': '0.6421', 'epoch': '0.201'} + 62%|██████████████████▌ | 5586/9000 [4:05:27<3:58:17, 4.19s/it][Dataset] cur_step=5587 phase=C_full_covt[Dataset] cur_step=5587 phase=C_full_covt[Dataset] cur_step=5587 phase=C_full_covt + + +[Dataset] cur_step=5587 phase=C_full_covt +[Dataset] cur_step=5587 phase=C_full_covt +[Dataset] cur_step=5587 phase=C_full_covt +[Dataset] cur_step=5587 phase=C_full_covt +[Dataset] cur_step=5587 phase=C_full_covt + 62%|██████████████████▌ | 5587/9000 [4:05:28<3:53:59, 4.11s/it] {'loss': '3.124', 'grad_norm': '1.737', 'learning_rate': '1.721e-05', 'epoch': '0.201'} + 62%|██████████████████▌ | 5587/9000 [4:05:28<3:53:59, 4.11s/it] {'lm_loss': '0.8119', 'visual_loss': '2.724', 'seg_loss': '0.8064', 'dino_loss': '0.9107', 'depth_loss': '0.2338', 'vggt_mse_loss': '0.2324', 'vggt_cos_loss': '0.014', 'pidinet_loss': '0.2166', 'siglip_loss': '0.5567', 'epoch': '0.201'} + 62%|██████████████████▌ | 5587/9000 [4:05:31<3:53:59, 4.11s/it][Dataset] cur_step=5588 phase=C_full_covt +[Dataset] cur_step=5588 phase=C_full_covt +[Dataset] cur_step=5588 phase=C_full_covt[Dataset] cur_step=5588 phase=C_full_covt + +[Dataset] cur_step=5588 phase=C_full_covt[Dataset] cur_step=5588 phase=C_full_covt[Dataset] cur_step=5588 phase=C_full_covt + + +[Dataset] cur_step=5588 phase=C_full_covt + 62%|██████████████████▋ | 5588/9000 [4:05:31<3:50:39, 4.06s/it] {'loss': '3.456', 'grad_norm': '1.801', 'learning_rate': '1.72e-05', 'epoch': '0.201'} + 62%|██████████████████▋ | 5588/9000 [4:05:31<3:50:39, 4.06s/it] {'lm_loss': '0.6032', 'visual_loss': '2.736', 'seg_loss': '0.7864', 'dino_loss': '0.8904', 'depth_loss': '0.2422', 'vggt_mse_loss': '0.2405', 'vggt_cos_loss': '0.01784', 'pidinet_loss': '0.2626', 'siglip_loss': '0.5547', 'epoch': '0.201'} + 62%|██████████████████▋ | 5588/9000 [4:05:35<3:50:39, 4.06s/it][Dataset] cur_step=5589 phase=C_full_covt +[Dataset] cur_step=5589 phase=C_full_covt +[Dataset] cur_step=5589 phase=C_full_covt[Dataset] cur_step=5589 phase=C_full_covt + +[Dataset] cur_step=5589 phase=C_full_covt + 62%|██████████████████▋ | 5589/9000 [4:05:35<3:47:53, 4.01s/it][Dataset] cur_step=5589 phase=C_full_covt +[Dataset] cur_step=5589 phase=C_full_covt +[Dataset] cur_step=5589 phase=C_full_covt + {'loss': '3.152', 'grad_norm': '2.244', 'learning_rate': '1.72e-05', 'epoch': '0.2011'} + 62%|██████████████████▋ | 5589/9000 [4:05:35<3:47:53, 4.01s/it] {'lm_loss': '0.2522', 'visual_loss': '3.376', 'seg_loss': '0.805', 'dino_loss': '0.9399', 'depth_loss': '0.7', 'vggt_mse_loss': '0.6941', 'vggt_cos_loss': '0.05869', 'pidinet_loss': '0.2016', 'siglip_loss': '0.7289', 'epoch': '0.2011'} + 62%|██████████████████▋ | 5589/9000 [4:05:38<3:47:53, 4.01s/it][Dataset] cur_step=5590 phase=C_full_covt +[Dataset] cur_step=5590 phase=C_full_covt +[Dataset] cur_step=5590 phase=C_full_covt +[Dataset] cur_step=5590 phase=C_full_covt +[Dataset] cur_step=5590 phase=C_full_covt[Dataset] cur_step=5590 phase=C_full_covt + +[Dataset] cur_step=5590 phase=C_full_covt +[Dataset] cur_step=5590 phase=C_full_covt + 62%|██████████████████▋ | 5590/9000 [4:05:39<3:45:16, 3.96s/it] {'loss': '3.267', 'grad_norm': '5.133', 'learning_rate': '1.719e-05', 'epoch': '0.2011'} + 62%|██████████████████▋ | 5590/9000 [4:05:39<3:45:16, 3.96s/it] {'lm_loss': '0.3339', 'visual_loss': '2.855', 'seg_loss': '0.8091', 'dino_loss': '0.9178', 'depth_loss': '0.2874', 'vggt_mse_loss': '0.2855', 'vggt_cos_loss': '0.01959', 'pidinet_loss': '0.2219', 'siglip_loss': '0.6189', 'epoch': '0.2011'} + 62%|██████████████████▋ | 5590/9000 [4:05:42<3:45:16, 3.96s/it][Dataset] cur_step=5591 phase=C_full_covt +[Dataset] cur_step=5591 phase=C_full_covt +[Dataset] cur_step=5591 phase=C_full_covt +[Dataset] cur_step=5591 phase=C_full_covt +[Dataset] cur_step=5591 phase=C_full_covt[Dataset] cur_step=5591 phase=C_full_covt + +[Dataset] cur_step=5591 phase=C_full_covt +[Dataset] cur_step=5591 phase=C_full_covt + 62%|██████████████████▋ | 5591/9000 [4:05:43<3:48:17, 4.02s/it] {'loss': '3.174', 'grad_norm': '11.57', 'learning_rate': '1.718e-05', 'epoch': '0.2011'} + 62%|██████████████████▋ | 5591/9000 [4:05:43<3:48:17, 4.02s/it] {'lm_loss': '0.963', 'visual_loss': '3.107', 'seg_loss': '0.8611', 'dino_loss': '0.9182', 'depth_loss': '0.3187', 'vggt_mse_loss': '0.3168', 'vggt_cos_loss': '0.01967', 'pidinet_loss': '0.28', 'siglip_loss': '0.7287', 'epoch': '0.2011'} + 62%|██████████████████▋ | 5591/9000 [4:05:46<3:48:17, 4.02s/it][Dataset] cur_step=5592 phase=C_full_covt +[Dataset] cur_step=5592 phase=C_full_covt +[Dataset] cur_step=5592 phase=C_full_covt[Dataset] cur_step=5592 phase=C_full_covt + +[Dataset] cur_step=5592 phase=C_full_covt +[Dataset] cur_step=5592 phase=C_full_covt +[Dataset] cur_step=5592 phase=C_full_covt +[Dataset] cur_step=5592 phase=C_full_covt + 62%|██████████████████▋ | 5592/9000 [4:05:48<3:55:35, 4.15s/it] {'loss': '3.306', 'grad_norm': '2.35', 'learning_rate': '1.717e-05', 'epoch': '0.2012'} + 62%|██████████████████▋ | 5592/9000 [4:05:48<3:55:35, 4.15s/it] {'lm_loss': '0.311', 'visual_loss': '2.553', 'seg_loss': '0.6754', 'dino_loss': '0.8913', 'depth_loss': '0.3009', 'vggt_mse_loss': '0.2988', 'vggt_cos_loss': '0.02126', 'pidinet_loss': '0.2775', 'siglip_loss': '0.4082', 'epoch': '0.2012'} + 62%|██████████████████▋ | 5592/9000 [4:05:50<3:55:35, 4.15s/it][Dataset] cur_step=5593 phase=C_full_covt +[Dataset] cur_step=5593 phase=C_full_covt +[Dataset] cur_step=5593 phase=C_full_covt[Dataset] cur_step=5593 phase=C_full_covt + +[Dataset] cur_step=5593 phase=C_full_covt +[Dataset] cur_step=5593 phase=C_full_covt +[Dataset] cur_step=5593 phase=C_full_covt +[Dataset] cur_step=5593 phase=C_full_covt + 62%|██████████████████▋ | 5593/9000 [4:05:53<4:19:31, 4.57s/it] {'loss': '3.181', 'grad_norm': '3.398', 'learning_rate': '1.716e-05', 'epoch': '0.2012'} + 62%|██████████████████▋ | 5593/9000 [4:05:53<4:19:31, 4.57s/it] {'lm_loss': '0.9122', 'visual_loss': '2.569', 'seg_loss': '0.6946', 'dino_loss': '0.9359', 'depth_loss': '0.2363', 'vggt_mse_loss': '0.2347', 'vggt_cos_loss': '0.01661', 'pidinet_loss': '0.1757', 'siglip_loss': '0.5261', 'epoch': '0.2012'} + 62%|██████████████████▋ | 5593/9000 [4:05:57<4:19:31, 4.57s/it][Dataset] cur_step=5594 phase=C_full_covt +[Dataset] cur_step=5594 phase=C_full_covt +[Dataset] cur_step=5594 phase=C_full_covt +[Dataset] cur_step=5594 phase=C_full_covt + 62%|██████████████████▋ | 5594/9000 [4:05:57<4:07:19, 4.36s/it][Dataset] cur_step=5594 phase=C_full_covt +[Dataset] cur_step=5594 phase=C_full_covt +[Dataset] cur_step=5594 phase=C_full_covt +[Dataset] cur_step=5594 phase=C_full_covt + {'loss': '3.166', 'grad_norm': '5.423', 'learning_rate': '1.715e-05', 'epoch': '0.2012'} + 62%|██████████████████▋ | 5594/9000 [4:05:57<4:07:19, 4.36s/it] {'lm_loss': '0.2963', 'visual_loss': '2.804', 'seg_loss': '0.8001', 'dino_loss': '0.9047', 'depth_loss': '0.2692', 'vggt_mse_loss': '0.2673', 'vggt_cos_loss': '0.01988', 'pidinet_loss': '0.2735', 'siglip_loss': '0.5562', 'epoch': '0.2012'} + 62%|██████████████████▋ | 5594/9000 [4:06:00<4:07:19, 4.36s/it][Dataset] cur_step=5595 phase=C_full_covt +[Dataset] cur_step=5595 phase=C_full_covt +[Dataset] cur_step=5595 phase=C_full_covt[Dataset] cur_step=5595 phase=C_full_covt + +[Dataset] cur_step=5595 phase=C_full_covt +[Dataset] cur_step=5595 phase=C_full_covt +[Dataset] cur_step=5595 phase=C_full_covt +[Dataset] cur_step=5595 phase=C_full_covt + 62%|██████████████████▋ | 5595/9000 [4:06:03<4:40:01, 4.93s/it] {'loss': '3.042', 'grad_norm': '1.901', 'learning_rate': '1.714e-05', 'epoch': '0.2013'} + 62%|██████████████████▋ | 5595/9000 [4:06:03<4:40:01, 4.93s/it] {'lm_loss': '0.6615', 'visual_loss': '2.72', 'seg_loss': '0.6984', 'dino_loss': '0.9031', 'depth_loss': '0.238', 'vggt_mse_loss': '0.2366', 'vggt_cos_loss': '0.01375', 'pidinet_loss': '0.2656', 'siglip_loss': '0.6147', 'epoch': '0.2013'} + 62%|██████████████████▋ | 5595/9000 [4:06:07<4:40:01, 4.93s/it][Dataset] cur_step=5596 phase=C_full_covt +[Dataset] cur_step=5596 phase=C_full_covt +[Dataset] cur_step=5596 phase=C_full_covt +[Dataset] cur_step=5596 phase=C_full_covt +[Dataset] cur_step=5596 phase=C_full_covt + 62%|██████████████████▋ | 5596/9000 [4:06:08<4:28:17, 4.73s/it][Dataset] cur_step=5596 phase=C_full_covt +[Dataset] cur_step=5596 phase=C_full_covt +[Dataset] cur_step=5596 phase=C_full_covt + {'loss': '3.127', 'grad_norm': '1.968', 'learning_rate': '1.713e-05', 'epoch': '0.2013'} + 62%|██████████████████▋ | 5596/9000 [4:06:08<4:28:17, 4.73s/it] {'lm_loss': '0.5535', 'visual_loss': '2.559', 'seg_loss': '0.6271', 'dino_loss': '0.8911', 'depth_loss': '0.2001', 'vggt_mse_loss': '0.1987', 'vggt_cos_loss': '0.01399', 'pidinet_loss': '0.2514', 'siglip_loss': '0.5896', 'epoch': '0.2013'} + 62%|██████████████████▋ | 5596/9000 [4:06:11<4:28:17, 4.73s/it][Dataset] cur_step=5597 phase=C_full_covt +[Dataset] cur_step=5597 phase=C_full_covt +[Dataset] cur_step=5597 phase=C_full_covt[Dataset] cur_step=5597 phase=C_full_covt + +[Dataset] cur_step=5597 phase=C_full_covt +[Dataset] cur_step=5597 phase=C_full_covt +[Dataset] cur_step=5597 phase=C_full_covt +[Dataset] cur_step=5597 phase=C_full_covt 62%|██████████████████▋ | 5597/9000 [4:06:12<4:15:19, 4.50s/it] + {'loss': '3.019', 'grad_norm': '4.232', 'learning_rate': '1.713e-05', 'epoch': '0.2014'} + 62%|██████████████████▋ | 5597/9000 [4:06:12<4:15:19, 4.50s/it] {'lm_loss': '0.5135', 'visual_loss': '2.729', 'seg_loss': '0.6711', 'dino_loss': '0.9059', 'depth_loss': '0.2542', 'vggt_mse_loss': '0.2527', 'vggt_cos_loss': '0.01565', 'pidinet_loss': '0.2371', 'siglip_loss': '0.6608', 'epoch': '0.2014'} + 62%|██████████████████▋ | 5597/9000 [4:06:15<4:15:19, 4.50s/it][Dataset] cur_step=5598 phase=C_full_covt[Dataset] cur_step=5598 phase=C_full_covt + +[Dataset] cur_step=5598 phase=C_full_covt +[Dataset] cur_step=5598 phase=C_full_covt[Dataset] cur_step=5598 phase=C_full_covt + + 62%|██████████████████▋ | 5598/9000 [4:06:18<4:47:33, 5.07s/it][Dataset] cur_step=5598 phase=C_full_covt +[Dataset] cur_step=5598 phase=C_full_covt +[Dataset] cur_step=5598 phase=C_full_covt + {'loss': '3.033', 'grad_norm': '3.161', 'learning_rate': '1.712e-05', 'epoch': '0.2014'} + 62%|██████████████████▋ | 5598/9000 [4:06:18<4:47:33, 5.07s/it] {'lm_loss': '0.4637', 'visual_loss': '2.616', 'seg_loss': '0.6241', 'dino_loss': '0.9126', 'depth_loss': '0.2691', 'vggt_mse_loss': '0.2669', 'vggt_cos_loss': '0.0216', 'pidinet_loss': '0.281', 'siglip_loss': '0.5289', 'epoch': '0.2014'} + 62%|██████████████████▋ | 5598/9000 [4:06:22<4:47:33, 5.07s/it][Dataset] cur_step=5599 phase=C_full_covt +[Dataset] cur_step=5599 phase=C_full_covt +[Dataset] cur_step=5599 phase=C_full_covt +[Dataset] cur_step=5599 phase=C_full_covt +[Dataset] cur_step=5599 phase=C_full_covt 62%|██████████████████▋ | 5599/9000 [4:06:22<4:29:19, 4.75s/it] +[Dataset] cur_step=5599 phase=C_full_covt +[Dataset] cur_step=5599 phase=C_full_covt +[Dataset] cur_step=5599 phase=C_full_covt + {'loss': '3.066', 'grad_norm': '1.389', 'learning_rate': '1.711e-05', 'epoch': '0.2014'} + 62%|██████████████████▋ | 5599/9000 [4:06:22<4:29:19, 4.75s/it] {'lm_loss': '0.9438', 'visual_loss': '2.836', 'seg_loss': '0.755', 'dino_loss': '0.9241', 'depth_loss': '0.359', 'vggt_mse_loss': '0.3562', 'vggt_cos_loss': '0.02741', 'pidinet_loss': '0.2806', 'siglip_loss': '0.5175', 'epoch': '0.2014'} + 62%|██████████████████▋ | 5599/9000 [4:06:25<4:29:19, 4.75s/it][Dataset] cur_step=5600 phase=C_full_covt +[Dataset] cur_step=5600 phase=C_full_covt +[Dataset] cur_step=5600 phase=C_full_covt +[Dataset] cur_step=5600 phase=C_full_covt +[Dataset] cur_step=5600 phase=C_full_covt +[Dataset] cur_step=5600 phase=C_full_covt +[Dataset] cur_step=5600 phase=C_full_covt +[Dataset] cur_step=5600 phase=C_full_covt + 62%|██████████████████▋ | 5600/9000 [4:06:28<4:51:41, 5.15s/it] {'loss': '3.304', 'grad_norm': '1.813', 'learning_rate': '1.71e-05', 'epoch': '0.2015'} + 62%|██████████████████▋ | 5600/9000 [4:06:28<4:51:41, 5.15s/it] {'lm_loss': '0.5675', 'visual_loss': '2.934', 'seg_loss': '0.795', 'dino_loss': '0.9156', 'depth_loss': '0.2251', 'vggt_mse_loss': '0.2238', 'vggt_cos_loss': '0.01292', 'pidinet_loss': '0.2361', 'siglip_loss': '0.7623', 'epoch': '0.2015'} + 62%|██████████████████▋ | 5600/9000 [4:06:31<4:51:41, 5.15s/it][Dataset] cur_step=5601 phase=C_full_covt +[Dataset] cur_step=5601 phase=C_full_covt +[Dataset] cur_step=5601 phase=C_full_covt +[Dataset] cur_step=5601 phase=C_full_covt +[Dataset] cur_step=5601 phase=C_full_covt +[Dataset] cur_step=5601 phase=C_full_covt +[Dataset] cur_step=5601 phase=C_full_covt + 62%|██████████████████▋ | 5601/9000 [4:06:32<4:31:40, 4.80s/it][Dataset] cur_step=5601 phase=C_full_covt + {'loss': '3.16', 'grad_norm': '4.528', 'learning_rate': '1.709e-05', 'epoch': '0.2015'} + 62%|██████████████████▋ | 5601/9000 [4:06:32<4:31:40, 4.80s/it] {'lm_loss': '0.2121', 'visual_loss': '2.774', 'seg_loss': '0.8576', 'dino_loss': '0.9123', 'depth_loss': '0.2706', 'vggt_mse_loss': '0.2685', 'vggt_cos_loss': '0.02168', 'pidinet_loss': '0.1988', 'siglip_loss': '0.5351', 'epoch': '0.2015'} + 62%|██████████████████▋ | 5601/9000 [4:06:35<4:31:40, 4.80s/it][Dataset] cur_step=5602 phase=C_full_covt +[Dataset] cur_step=5602 phase=C_full_covt +[Dataset] cur_step=5602 phase=C_full_covt[Dataset] cur_step=5602 phase=C_full_covt + +[Dataset] cur_step=5602 phase=C_full_covt +[Dataset] cur_step=5602 phase=C_full_covt +[Dataset] cur_step=5602 phase=C_full_covt +[Dataset] cur_step=5602 phase=C_full_covt + 62%|██████████████████▋ | 5602/9000 [4:06:36<4:17:28, 4.55s/it] {'loss': '3.085', 'grad_norm': '1.973', 'learning_rate': '1.708e-05', 'epoch': '0.2015'} + 62%|██████████████████▋ | 5602/9000 [4:06:36<4:17:28, 4.55s/it] {'lm_loss': '0.5557', 'visual_loss': '2.679', 'seg_loss': '0.7061', 'dino_loss': '0.9329', 'depth_loss': '0.2411', 'vggt_mse_loss': '0.2392', 'vggt_cos_loss': '0.01904', 'pidinet_loss': '0.2581', 'siglip_loss': '0.5407', 'epoch': '0.2015'} + 62%|██████████████████▋ | 5602/9000 [4:06:39<4:17:28, 4.55s/it][Dataset] cur_step=5603 phase=C_full_covt +[Dataset] cur_step=5603 phase=C_full_covt +[Dataset] cur_step=5603 phase=C_full_covt +[Dataset] cur_step=5603 phase=C_full_covt[Dataset] cur_step=5603 phase=C_full_covt + +[Dataset] cur_step=5603 phase=C_full_covt +[Dataset] cur_step=5603 phase=C_full_covt +[Dataset] cur_step=5603 phase=C_full_covt + 62%|██████████████████▋ | 5603/9000 [4:06:40<4:07:36, 4.37s/it] {'loss': '3.216', 'grad_norm': '2.603', 'learning_rate': '1.707e-05', 'epoch': '0.2016'} + 62%|██████████████████▋ | 5603/9000 [4:06:40<4:07:36, 4.37s/it] {'lm_loss': '0.0052', 'visual_loss': '2.638', 'seg_loss': '0.695', 'dino_loss': '0.9327', 'depth_loss': '0.2592', 'vggt_mse_loss': '0.2571', 'vggt_cos_loss': '0.02069', 'pidinet_loss': '0.2885', 'siglip_loss': '0.4627', 'epoch': '0.2016'} + 62%|██████████████████▋ | 5603/9000 [4:06:43<4:07:36, 4.37s/it][Dataset] cur_step=5604 phase=C_full_covt +[Dataset] cur_step=5604 phase=C_full_covt +[Dataset] cur_step=5604 phase=C_full_covt +[Dataset] cur_step=5604 phase=C_full_covt +[Dataset] cur_step=5604 phase=C_full_covt +[Dataset] cur_step=5604 phase=C_full_covt + 62%|██████████████████▋ | 5604/9000 [4:06:44<3:58:20, 4.21s/it][Dataset] cur_step=5604 phase=C_full_covt +[Dataset] cur_step=5604 phase=C_full_covt + {'loss': '2.971', 'grad_norm': '1.494', 'learning_rate': '1.707e-05', 'epoch': '0.2016'} + 62%|██████████████████▋ | 5604/9000 [4:06:44<3:58:20, 4.21s/it] {'lm_loss': '0.001427', 'visual_loss': '2.925', 'seg_loss': '0.8427', 'dino_loss': '0.9337', 'depth_loss': '0.3494', 'vggt_mse_loss': '0.3463', 'vggt_cos_loss': '0.0301', 'pidinet_loss': '0.2358', 'siglip_loss': '0.5639', 'epoch': '0.2016'} + 62%|██████████████████▋ | 5604/9000 [4:06:47<3:58:20, 4.21s/it][Dataset] cur_step=5605 phase=C_full_covt +[Dataset] cur_step=5605 phase=C_full_covt +[Dataset] cur_step=5605 phase=C_full_covt +[Dataset] cur_step=5605 phase=C_full_covt +[Dataset] cur_step=5605 phase=C_full_covt +[Dataset] cur_step=5605 phase=C_full_covt[Dataset] cur_step=5605 phase=C_full_covt + +[Dataset] cur_step=5605 phase=C_full_covt + 62%|██████████████████▋ | 5605/9000 [4:06:48<3:53:15, 4.12s/it] {'loss': '3.172', 'grad_norm': '2.947', 'learning_rate': '1.706e-05', 'epoch': '0.2016'} + 62%|██████████████████▋ | 5605/9000 [4:06:48<3:53:15, 4.12s/it] {'lm_loss': '0.4481', 'visual_loss': '2.818', 'seg_loss': '0.782', 'dino_loss': '0.9058', 'depth_loss': '0.2972', 'vggt_mse_loss': '0.2956', 'vggt_cos_loss': '0.01585', 'pidinet_loss': '0.3012', 'siglip_loss': '0.5319', 'epoch': '0.2016'} + 62%|██████████████████▋ | 5605/9000 [4:06:51<3:53:15, 4.12s/it][Dataset] cur_step=5606 phase=C_full_covt +[Dataset] cur_step=5606 phase=C_full_covt +[Dataset] cur_step=5606 phase=C_full_covt +[Dataset] cur_step=5606 phase=C_full_covt +[Dataset] cur_step=5606 phase=C_full_covt +[Dataset] cur_step=5606 phase=C_full_covt +[Dataset] cur_step=5606 phase=C_full_covt +[Dataset] cur_step=5606 phase=C_full_covt + 62%|██████████████████▋ | 5606/9000 [4:06:52<3:49:51, 4.06s/it] {'loss': '3.123', 'grad_norm': '4.316', 'learning_rate': '1.705e-05', 'epoch': '0.2017'} + 62%|██████████████████▋ | 5606/9000 [4:06:52<3:49:51, 4.06s/it] {'lm_loss': '0.184', 'visual_loss': '2.535', 'seg_loss': '0.576', 'dino_loss': '0.9175', 'depth_loss': '0.2909', 'vggt_mse_loss': '0.2889', 'vggt_cos_loss': '0.01978', 'pidinet_loss': '0.2043', 'siglip_loss': '0.5462', 'epoch': '0.2017'} + 62%|██████████████████▋ | 5606/9000 [4:06:55<3:49:51, 4.06s/it][Dataset] cur_step=5607 phase=C_full_covt +[Dataset] cur_step=5607 phase=C_full_covt[Dataset] cur_step=5607 phase=C_full_covt +[Dataset] cur_step=5607 phase=C_full_covt + +[Dataset] cur_step=5607 phase=C_full_covt +[Dataset] cur_step=5607 phase=C_full_covt +[Dataset] cur_step=5607 phase=C_full_covt +[Dataset] cur_step=5607 phase=C_full_covt + 62%|██████████████████▋ | 5607/9000 [4:06:56<3:49:19, 4.06s/it] {'loss': '3.346', 'grad_norm': '3.384', 'learning_rate': '1.704e-05', 'epoch': '0.2017'} + 62%|██████████████████▋ | 5607/9000 [4:06:56<3:49:19, 4.06s/it] {'lm_loss': '0.3596', 'visual_loss': '3', 'seg_loss': '0.813', 'dino_loss': '0.9303', 'depth_loss': '0.2607', 'vggt_mse_loss': '0.2586', 'vggt_cos_loss': '0.02086', 'pidinet_loss': '0.2725', 'siglip_loss': '0.7235', 'epoch': '0.2017'} + 62%|██████████████████▋ | 5607/9000 [4:06:59<3:49:19, 4.06s/it][Dataset] cur_step=5608 phase=C_full_covt +[Dataset] cur_step=5608 phase=C_full_covt +[Dataset] cur_step=5608 phase=C_full_covt +[Dataset] cur_step=5608 phase=C_full_covt +[Dataset] cur_step=5608 phase=C_full_covt +[Dataset] cur_step=5608 phase=C_full_covt +[Dataset] cur_step=5608 phase=C_full_covt +[Dataset] cur_step=5608 phase=C_full_covt + 62%|██████████████████▋ | 5608/9000 [4:07:02<4:19:53, 4.60s/it] {'loss': '3.31', 'grad_norm': '2.319', 'learning_rate': '1.703e-05', 'epoch': '0.2017'} + 62%|██████████████████▋ | 5608/9000 [4:07:02<4:19:53, 4.60s/it] {'lm_loss': '0.7286', 'visual_loss': '2.931', 'seg_loss': '0.7421', 'dino_loss': '0.8917', 'depth_loss': '0.2948', 'vggt_mse_loss': '0.2926', 'vggt_cos_loss': '0.02202', 'pidinet_loss': '0.3249', 'siglip_loss': '0.6773', 'epoch': '0.2017'} + 62%|██████████████████▋ | 5608/9000 [4:07:05<4:19:53, 4.60s/it][Dataset] cur_step=5609 phase=C_full_covt +[Dataset] cur_step=5609 phase=C_full_covt[Dataset] cur_step=5609 phase=C_full_covt + +[Dataset] cur_step=5609 phase=C_full_covt +[Dataset] cur_step=5609 phase=C_full_covt +[Dataset] cur_step=5609 phase=C_full_covt +[Dataset] cur_step=5609 phase=C_full_covt +[Dataset] cur_step=5609 phase=C_full_covt + 62%|██████████████████▋ | 5609/9000 [4:07:06<4:08:06, 4.39s/it] {'loss': '3.275', 'grad_norm': '1.899', 'learning_rate': '1.702e-05', 'epoch': '0.2018'} + 62%|██████████████████▋ | 5609/9000 [4:07:06<4:08:06, 4.39s/it] {'lm_loss': '0.584', 'visual_loss': '2.863', 'seg_loss': '0.6378', 'dino_loss': '0.9146', 'depth_loss': '0.353', 'vggt_mse_loss': '0.3506', 'vggt_cos_loss': '0.02416', 'pidinet_loss': '0.2591', 'siglip_loss': '0.6985', 'epoch': '0.2018'} + 62%|██████████████████▋ | 5609/9000 [4:07:09<4:08:06, 4.39s/it][Dataset] cur_step=5610 phase=C_full_covt[Dataset] cur_step=5610 phase=C_full_covt + +[Dataset] cur_step=5610 phase=C_full_covt +[Dataset] cur_step=5610 phase=C_full_covt +[Dataset] cur_step=5610 phase=C_full_covt +[Dataset] cur_step=5610 phase=C_full_covt +[Dataset] cur_step=5610 phase=C_full_covt + 62%|██████████████████▋ | 5610/9000 [4:07:10<4:05:30, 4.35s/it][Dataset] cur_step=5610 phase=C_full_covt + {'loss': '3.274', 'grad_norm': '3.631', 'learning_rate': '1.701e-05', 'epoch': '0.2018'} + 62%|██████████████████▋ | 5610/9000 [4:07:10<4:05:30, 4.35s/it] {'lm_loss': '0.4371', 'visual_loss': '2.686', 'seg_loss': '0.7545', 'dino_loss': '0.9265', 'depth_loss': '0.2352', 'vggt_mse_loss': '0.2339', 'vggt_cos_loss': '0.01358', 'pidinet_loss': '0.283', 'siglip_loss': '0.4872', 'epoch': '0.2018'} + 62%|██████████████████▋ | 5610/9000 [4:07:13<4:05:30, 4.35s/it][Dataset] cur_step=5611 phase=C_full_covt[Dataset] cur_step=5611 phase=C_full_covt + +[Dataset] cur_step=5611 phase=C_full_covt +[Dataset] cur_step=5611 phase=C_full_covt +[Dataset] cur_step=5611 phase=C_full_covt +[Dataset] cur_step=5611 phase=C_full_covt +[Dataset] cur_step=5611 phase=C_full_covt + 62%|██████████████████▋ | 5611/9000 [4:07:14<3:56:40, 4.19s/it][Dataset] cur_step=5611 phase=C_full_covt + {'loss': '3.081', 'grad_norm': '3.339', 'learning_rate': '1.7e-05', 'epoch': '0.2019'} + 62%|██████████████████▋ | 5611/9000 [4:07:14<3:56:40, 4.19s/it] {'lm_loss': '0.311', 'visual_loss': '2.564', 'seg_loss': '0.7027', 'dino_loss': '0.9206', 'depth_loss': '0.2901', 'vggt_mse_loss': '0.2877', 'vggt_cos_loss': '0.02379', 'pidinet_loss': '0.2318', 'siglip_loss': '0.4186', 'epoch': '0.2019'} + 62%|██████████████████▋ | 5611/9000 [4:07:18<3:56:40, 4.19s/it][Dataset] cur_step=5612 phase=C_full_covt +[Dataset] cur_step=5612 phase=C_full_covt +[Dataset] cur_step=5612 phase=C_full_covt[Dataset] cur_step=5612 phase=C_full_covt + +[Dataset] cur_step=5612 phase=C_full_covt +[Dataset] cur_step=5612 phase=C_full_covt +[Dataset] cur_step=5612 phase=C_full_covt +[Dataset] cur_step=5612 phase=C_full_covt + 62%|██████████████████▋ | 5612/9000 [4:07:18<3:57:49, 4.21s/it] {'loss': '3.395', 'grad_norm': '3.113', 'learning_rate': '1.7e-05', 'epoch': '0.2019'} + 62%|██████████████████▋ | 5612/9000 [4:07:18<3:57:49, 4.21s/it] {'lm_loss': '0.005251', 'visual_loss': '2.64', 'seg_loss': '0.728', 'dino_loss': '0.9465', 'depth_loss': '0.237', 'vggt_mse_loss': '0.2348', 'vggt_cos_loss': '0.02148', 'pidinet_loss': '0.2095', 'siglip_loss': '0.5191', 'epoch': '0.2019'} + 62%|██████████████████▋ | 5612/9000 [4:07:21<3:57:49, 4.21s/it][Dataset] cur_step=5613 phase=C_full_covt +[Dataset] cur_step=5613 phase=C_full_covt +[Dataset] cur_step=5613 phase=C_full_covt +[Dataset] cur_step=5613 phase=C_full_covt + 62%|██████████████████▋ | 5613/9000 [4:07:22<3:54:31, 4.15s/it][Dataset] cur_step=5613 phase=C_full_covt +[Dataset] cur_step=5613 phase=C_full_covt +[Dataset] cur_step=5613 phase=C_full_covt +[Dataset] cur_step=5613 phase=C_full_covt + {'loss': '3.071', 'grad_norm': '2.678', 'learning_rate': '1.699e-05', 'epoch': '0.2019'} + 62%|██████████████████▋ | 5613/9000 [4:07:22<3:54:31, 4.15s/it] {'lm_loss': '0.6632', 'visual_loss': '2.768', 'seg_loss': '0.6812', 'dino_loss': '0.9283', 'depth_loss': '0.2544', 'vggt_mse_loss': '0.2526', 'vggt_cos_loss': '0.01805', 'pidinet_loss': '0.2185', 'siglip_loss': '0.6861', 'epoch': '0.2019'} + 62%|██████████████████▋ | 5613/9000 [4:07:25<3:54:31, 4.15s/it][Dataset] cur_step=5614 phase=C_full_covt +[Dataset] cur_step=5614 phase=C_full_covt +[Dataset] cur_step=5614 phase=C_full_covt +[Dataset] cur_step=5614 phase=C_full_covt +[Dataset] cur_step=5614 phase=C_full_covt +[Dataset] cur_step=5614 phase=C_full_covt 62%|██████████████████▋ | 5614/9000 [4:07:28<4:29:36, 4.78s/it] +[Dataset] cur_step=5614 phase=C_full_covt +[Dataset] cur_step=5614 phase=C_full_covt + {'loss': '3.234', 'grad_norm': '1.867', 'learning_rate': '1.698e-05', 'epoch': '0.202'} + 62%|██████████████████▋ | 5614/9000 [4:07:28<4:29:36, 4.78s/it] {'lm_loss': '0.4713', 'visual_loss': '2.405', 'seg_loss': '0.608', 'dino_loss': '0.8837', 'depth_loss': '0.167', 'vggt_mse_loss': '0.1659', 'vggt_cos_loss': '0.01135', 'pidinet_loss': '0.2418', 'siglip_loss': '0.505', 'epoch': '0.202'} + 62%|██████████████████▋ | 5614/9000 [4:07:31<4:29:36, 4.78s/it][Dataset] cur_step=5615 phase=C_full_covt +[Dataset] cur_step=5615 phase=C_full_covt +[Dataset] cur_step=5615 phase=C_full_covt[Dataset] cur_step=5615 phase=C_full_covt +[Dataset] cur_step=5615 phase=C_full_covt + + 62%|██████████████████▋ | 5615/9000 [4:07:32<4:12:40, 4.48s/it][Dataset] cur_step=5615 phase=C_full_covt[Dataset] cur_step=5615 phase=C_full_covt + +[Dataset] cur_step=5615 phase=C_full_covt + {'loss': '3.181', 'grad_norm': '1.444', 'learning_rate': '1.697e-05', 'epoch': '0.202'} + 62%|██████████████████▋ | 5615/9000 [4:07:32<4:12:40, 4.48s/it] {'lm_loss': '0.3803', 'visual_loss': '2.868', 'seg_loss': '0.7444', 'dino_loss': '0.9388', 'depth_loss': '0.4664', 'vggt_mse_loss': '0.4614', 'vggt_cos_loss': '0.04998', 'pidinet_loss': '0.2126', 'siglip_loss': '0.5064', 'epoch': '0.202'} + 62%|██████████████████▋ | 5615/9000 [4:07:35<4:12:40, 4.48s/it][Dataset] cur_step=5616 phase=C_full_covt +[Dataset] cur_step=5616 phase=C_full_covt +[Dataset] cur_step=5616 phase=C_full_covt +[Dataset] cur_step=5616 phase=C_full_covt[Dataset] cur_step=5616 phase=C_full_covt + +[Dataset] cur_step=5616 phase=C_full_covt +[Dataset] cur_step=5616 phase=C_full_covt + 62%|██████████████████▋ | 5616/9000 [4:07:36<4:02:18, 4.30s/it][Dataset] cur_step=5616 phase=C_full_covt + {'loss': '3.128', 'grad_norm': '3.547', 'learning_rate': '1.696e-05', 'epoch': '0.202'} + 62%|██████████████████▋ | 5616/9000 [4:07:36<4:02:18, 4.30s/it] {'lm_loss': '0.1982', 'visual_loss': '2.817', 'seg_loss': '0.7757', 'dino_loss': '0.9199', 'depth_loss': '0.229', 'vggt_mse_loss': '0.2272', 'vggt_cos_loss': '0.01754', 'pidinet_loss': '0.2796', 'siglip_loss': '0.6126', 'epoch': '0.202'} + 62%|██████████████████▋ | 5616/9000 [4:07:39<4:02:18, 4.30s/it][Dataset] cur_step=5617 phase=C_full_covt +[Dataset] cur_step=5617 phase=C_full_covt +[Dataset] cur_step=5617 phase=C_full_covt +[Dataset] cur_step=5617 phase=C_full_covt[Dataset] cur_step=5617 phase=C_full_covt + +[Dataset] cur_step=5617 phase=C_full_covt +[Dataset] cur_step=5617 phase=C_full_covt + 62%|██████████████████▋ | 5617/9000 [4:07:40<4:05:16, 4.35s/it][Dataset] cur_step=5617 phase=C_full_covt + {'loss': '3.042', 'grad_norm': '2.37', 'learning_rate': '1.695e-05', 'epoch': '0.2021'} + 62%|██████████████████▋ | 5617/9000 [4:07:40<4:05:16, 4.35s/it] {'lm_loss': '0.7197', 'visual_loss': '2.666', 'seg_loss': '0.7482', 'dino_loss': '0.9154', 'depth_loss': '0.2175', 'vggt_mse_loss': '0.2162', 'vggt_cos_loss': '0.01357', 'pidinet_loss': '0.221', 'siglip_loss': '0.5641', 'epoch': '0.2021'} + 62%|██████████████████▋ | 5617/9000 [4:07:43<4:05:16, 4.35s/it][Dataset] cur_step=5618 phase=C_full_covt +[Dataset] cur_step=5618 phase=C_full_covt +[Dataset] cur_step=5618 phase=C_full_covt +[Dataset] cur_step=5618 phase=C_full_covt +[Dataset] cur_step=5618 phase=C_full_covt + 62%|██████████████████▋ | 5618/9000 [4:07:45<4:03:33, 4.32s/it][Dataset] cur_step=5618 phase=C_full_covt +[Dataset] cur_step=5618 phase=C_full_covt +[Dataset] cur_step=5618 phase=C_full_covt + {'loss': '3.248', 'grad_norm': '3.112', 'learning_rate': '1.694e-05', 'epoch': '0.2021'} + 62%|██████████████████▋ | 5618/9000 [4:07:45<4:03:33, 4.32s/it] {'lm_loss': '0.3464', 'visual_loss': '2.525', 'seg_loss': '0.7639', 'dino_loss': '0.9054', 'depth_loss': '0.2278', 'vggt_mse_loss': '0.2265', 'vggt_cos_loss': '0.01292', 'pidinet_loss': '0.1727', 'siglip_loss': '0.455', 'epoch': '0.2021'} + 62%|██████████████████▋ | 5618/9000 [4:07:48<4:03:33, 4.32s/it][Dataset] cur_step=5619 phase=C_full_covt +[Dataset] cur_step=5619 phase=C_full_covt +[Dataset] cur_step=5619 phase=C_full_covt[Dataset] cur_step=5619 phase=C_full_covt + +[Dataset] cur_step=5619 phase=C_full_covt + 62%|██████████████████▋ | 5619/9000 [4:07:48<3:54:00, 4.15s/it][Dataset] cur_step=5619 phase=C_full_covt +[Dataset] cur_step=5619 phase=C_full_covt[Dataset] cur_step=5619 phase=C_full_covt + + {'loss': '3.217', 'grad_norm': '5.653', 'learning_rate': '1.693e-05', 'epoch': '0.2021'} + 62%|██████████████████▋ | 5619/9000 [4:07:48<3:54:00, 4.15s/it] {'lm_loss': '0.005251', 'visual_loss': '2.603', 'seg_loss': '0.6634', 'dino_loss': '0.9329', 'depth_loss': '0.2569', 'vggt_mse_loss': '0.2549', 'vggt_cos_loss': '0.02035', 'pidinet_loss': '0.2083', 'siglip_loss': '0.5417', 'epoch': '0.2021'} + 62%|██████████████████▋ | 5619/9000 [4:07:52<3:54:00, 4.15s/it][Dataset] cur_step=5620 phase=C_full_covt +[Dataset] cur_step=5620 phase=C_full_covt +[Dataset] cur_step=5620 phase=C_full_covt[Dataset] cur_step=5620 phase=C_full_covt + +[Dataset] cur_step=5620 phase=C_full_covt[Dataset] cur_step=5620 phase=C_full_covt + +[Dataset] cur_step=5620 phase=C_full_covt 62%|██████████████████▋ | 5620/9000 [4:07:53<3:57:37, 4.22s/it] +[Dataset] cur_step=5620 phase=C_full_covt + {'loss': '3.01', 'grad_norm': '2.032', 'learning_rate': '1.693e-05', 'epoch': '0.2022'} + 62%|██████████████████▋ | 5620/9000 [4:07:53<3:57:37, 4.22s/it] {'lm_loss': '0.5237', 'visual_loss': '2.686', 'seg_loss': '0.7205', 'dino_loss': '0.9357', 'depth_loss': '0.2551', 'vggt_mse_loss': '0.2534', 'vggt_cos_loss': '0.01723', 'pidinet_loss': '0.2486', 'siglip_loss': '0.5265', 'epoch': '0.2022'} + 62%|██████████████████▋ | 5620/9000 [4:07:56<3:57:37, 4.22s/it][Dataset] cur_step=5621 phase=C_full_covt +[Dataset] cur_step=5621 phase=C_full_covt +[Dataset] cur_step=5621 phase=C_full_covt +[Dataset] cur_step=5621 phase=C_full_covt +[Dataset] cur_step=5621 phase=C_full_covt +[Dataset] cur_step=5621 phase=C_full_covt + 62%|██████████████████▋ | 5621/9000 [4:07:57<3:58:09, 4.23s/it][Dataset] cur_step=5621 phase=C_full_covt +[Dataset] cur_step=5621 phase=C_full_covt + {'loss': '3.228', 'grad_norm': '2.141', 'learning_rate': '1.692e-05', 'epoch': '0.2022'} + 62%|██████████████████▋ | 5621/9000 [4:07:57<3:58:09, 4.23s/it] {'lm_loss': '0.5657', 'visual_loss': '2.523', 'seg_loss': '0.7548', 'dino_loss': '0.8957', 'depth_loss': '0.1971', 'vggt_mse_loss': '0.1959', 'vggt_cos_loss': '0.01234', 'pidinet_loss': '0.2245', 'siglip_loss': '0.4509', 'epoch': '0.2022'} + 62%|██████████████████▋ | 5621/9000 [4:08:00<3:58:09, 4.23s/it][Dataset] cur_step=5622 phase=C_full_covt +[Dataset] cur_step=5622 phase=C_full_covt +[Dataset] cur_step=5622 phase=C_full_covt[Dataset] cur_step=5622 phase=C_full_covt + +[Dataset] cur_step=5622 phase=C_full_covt +[Dataset] cur_step=5622 phase=C_full_covt 62%|██████████████████▋ | 5622/9000 [4:08:01<3:55:27, 4.18s/it] +[Dataset] cur_step=5622 phase=C_full_covt[Dataset] cur_step=5622 phase=C_full_covt + + {'loss': '3.011', 'grad_norm': '1.898', 'learning_rate': '1.691e-05', 'epoch': '0.2023'} + 62%|██████████████████▋ | 5622/9000 [4:08:01<3:55:27, 4.18s/it] {'lm_loss': '0.7955', 'visual_loss': '2.948', 'seg_loss': '0.6557', 'dino_loss': '0.9148', 'depth_loss': '0.3136', 'vggt_mse_loss': '0.3115', 'vggt_cos_loss': '0.02179', 'pidinet_loss': '0.3134', 'siglip_loss': '0.7507', 'epoch': '0.2023'} + 62%|██████████████████▋ | 5622/9000 [4:08:04<3:55:27, 4.18s/it][Dataset] cur_step=5623 phase=C_full_covt +[Dataset] cur_step=5623 phase=C_full_covt +[Dataset] cur_step=5623 phase=C_full_covt[Dataset] cur_step=5623 phase=C_full_covt + +[Dataset] cur_step=5623 phase=C_full_covt 62%|██████████████████▋ | 5623/9000 [4:08:05<3:47:19, 4.04s/it] +[Dataset] cur_step=5623 phase=C_full_covt +[Dataset] cur_step=5623 phase=C_full_covt +[Dataset] cur_step=5623 phase=C_full_covt + {'loss': '3.363', 'grad_norm': '1.511', 'learning_rate': '1.69e-05', 'epoch': '0.2023'} + 62%|██████████████████▋ | 5623/9000 [4:08:05<3:47:19, 4.04s/it] {'lm_loss': '0.02116', 'visual_loss': '2.388', 'seg_loss': '0.7654', 'dino_loss': '0.8811', 'depth_loss': '0.2132', 'vggt_mse_loss': '0.212', 'vggt_cos_loss': '0.01161', 'pidinet_loss': '0.1655', 'siglip_loss': '0.3629', 'epoch': '0.2023'} + 62%|██████████████████▋ | 5623/9000 [4:08:08<3:47:19, 4.04s/it][Dataset] cur_step=5624 phase=C_full_covt +[Dataset] cur_step=5624 phase=C_full_covt +[Dataset] cur_step=5624 phase=C_full_covt[Dataset] cur_step=5624 phase=C_full_covt[Dataset] cur_step=5624 phase=C_full_covt + + +[Dataset] cur_step=5624 phase=C_full_covt + 62%|██████████████████▋ | 5624/9000 [4:08:08<3:41:37, 3.94s/it][Dataset] cur_step=5624 phase=C_full_covt +[Dataset] cur_step=5624 phase=C_full_covt + {'loss': '3.161', 'grad_norm': '2.253', 'learning_rate': '1.689e-05', 'epoch': '0.2023'} + 62%|██████████████████▋ | 5624/9000 [4:08:08<3:41:37, 3.94s/it] {'lm_loss': '0.7094', 'visual_loss': '3.062', 'seg_loss': '0.7187', 'dino_loss': '0.9615', 'depth_loss': '0.3903', 'vggt_mse_loss': '0.3874', 'vggt_cos_loss': '0.02843', 'pidinet_loss': '0.2418', 'siglip_loss': '0.7502', 'epoch': '0.2023'} + 62%|██████████████████▋ | 5624/9000 [4:08:12<3:41:37, 3.94s/it][Dataset] cur_step=5625 phase=C_full_covt +[Dataset] cur_step=5625 phase=C_full_covt +[Dataset] cur_step=5625 phase=C_full_covt[Dataset] cur_step=5625 phase=C_full_covt +[Dataset] cur_step=5625 phase=C_full_covt + + 62%|██████████████████▊ | 5625/9000 [4:08:12<3:42:02, 3.95s/it][Dataset] cur_step=5625 phase=C_full_covt[Dataset] cur_step=5625 phase=C_full_covt + +[Dataset] cur_step=5625 phase=C_full_covt + {'loss': '3.47', 'grad_norm': '2.966', 'learning_rate': '1.688e-05', 'epoch': '0.2024'} + 62%|██████████████████▊ | 5625/9000 [4:08:12<3:42:02, 3.95s/it] {'lm_loss': '0.6386', 'visual_loss': '2.722', 'seg_loss': '0.7351', 'dino_loss': '0.8849', 'depth_loss': '0.2559', 'vggt_mse_loss': '0.2538', 'vggt_cos_loss': '0.02081', 'pidinet_loss': '0.2712', 'siglip_loss': '0.575', 'epoch': '0.2024'} + 62%|██████████████████▊ | 5625/9000 [4:08:16<3:42:02, 3.95s/it][Dataset] cur_step=5626 phase=C_full_covt[Dataset] cur_step=5626 phase=C_full_covt + + 63%|██████████████████▊ | 5626/9000 [4:08:17<3:46:56, 4.04s/it][Dataset] cur_step=5626 phase=C_full_covt +[Dataset] cur_step=5626 phase=C_full_covt[Dataset] cur_step=5626 phase=C_full_covt + +[Dataset] cur_step=5626 phase=C_full_covt +[Dataset] cur_step=5626 phase=C_full_covt +[Dataset] cur_step=5626 phase=C_full_covt + {'loss': '3.32', 'grad_norm': '7.208', 'learning_rate': '1.687e-05', 'epoch': '0.2024'} + 63%|██████████████████▊ | 5626/9000 [4:08:17<3:46:56, 4.04s/it] {'lm_loss': '0.4856', 'visual_loss': '2.67', 'seg_loss': '0.7176', 'dino_loss': '0.919', 'depth_loss': '0.243', 'vggt_mse_loss': '0.2412', 'vggt_cos_loss': '0.01773', 'pidinet_loss': '0.2481', 'siglip_loss': '0.5425', 'epoch': '0.2024'} + 63%|██████████████████▊ | 5626/9000 [4:08:20<3:46:56, 4.04s/it][Dataset] cur_step=5627 phase=C_full_covt +[Dataset] cur_step=5627 phase=C_full_covt +[Dataset] cur_step=5627 phase=C_full_covt[Dataset] cur_step=5627 phase=C_full_covt +[Dataset] cur_step=5627 phase=C_full_covt + +[Dataset] cur_step=5627 phase=C_full_covt + 63%|██████████████████▊ | 5627/9000 [4:08:21<3:45:54, 4.02s/it][Dataset] cur_step=5627 phase=C_full_covt +[Dataset] cur_step=5627 phase=C_full_covt + {'loss': '3.23', 'grad_norm': '2.165', 'learning_rate': '1.687e-05', 'epoch': '0.2024'} + 63%|██████████████████▊ | 5627/9000 [4:08:21<3:45:54, 4.02s/it] {'lm_loss': '0.6109', 'visual_loss': '3.019', 'seg_loss': '0.7624', 'dino_loss': '0.9351', 'depth_loss': '0.3684', 'vggt_mse_loss': '0.3657', 'vggt_cos_loss': '0.02699', 'pidinet_loss': '0.3142', 'siglip_loss': '0.6385', 'epoch': '0.2024'} + 63%|██████████████████▊ | 5627/9000 [4:08:24<3:45:54, 4.02s/it][Dataset] cur_step=5628 phase=C_full_covt +[Dataset] cur_step=5628 phase=C_full_covt +[Dataset] cur_step=5628 phase=C_full_covt +[Dataset] cur_step=5628 phase=C_full_covt[Dataset] cur_step=5628 phase=C_full_covt + +[Dataset] cur_step=5628 phase=C_full_covt +[Dataset] cur_step=5628 phase=C_full_covt + 63%|██████████████████▊ | 5628/9000 [4:08:25<3:44:06, 3.99s/it][Dataset] cur_step=5628 phase=C_full_covt + {'loss': '3.299', 'grad_norm': '3.595', 'learning_rate': '1.686e-05', 'epoch': '0.2025'} + 63%|██████████████████▊ | 5628/9000 [4:08:25<3:44:06, 3.99s/it] {'lm_loss': '0.9656', 'visual_loss': '2.865', 'seg_loss': '0.8065', 'dino_loss': '0.9007', 'depth_loss': '0.215', 'vggt_mse_loss': '0.2137', 'vggt_cos_loss': '0.01337', 'pidinet_loss': '0.2299', 'siglip_loss': '0.7128', 'epoch': '0.2025'} + 63%|██████████████████▊ | 5628/9000 [4:08:28<3:44:06, 3.99s/it][Dataset] cur_step=5629 phase=C_full_covt +[Dataset] cur_step=5629 phase=C_full_covt[Dataset] cur_step=5629 phase=C_full_covt + +[Dataset] cur_step=5629 phase=C_full_covt +[Dataset] cur_step=5629 phase=C_full_covt +[Dataset] cur_step=5629 phase=C_full_covt[Dataset] cur_step=5629 phase=C_full_covt + + 63%|██████████████████▊ | 5629/9000 [4:08:28<3:43:59, 3.99s/it][Dataset] cur_step=5629 phase=C_full_covt + {'loss': '3.253', 'grad_norm': '2.646', 'learning_rate': '1.685e-05', 'epoch': '0.2025'} + 63%|██████████████████▊ | 5629/9000 [4:08:28<3:43:59, 3.99s/it] {'lm_loss': '0.4645', 'visual_loss': '2.753', 'seg_loss': '0.6493', 'dino_loss': '0.9096', 'depth_loss': '0.309', 'vggt_mse_loss': '0.3065', 'vggt_cos_loss': '0.02559', 'pidinet_loss': '0.2677', 'siglip_loss': '0.6173', 'epoch': '0.2025'} + 63%|██████████████████▊ | 5629/9000 [4:08:32<3:43:59, 3.99s/it][Dataset] cur_step=5630 phase=C_full_covt[Dataset] cur_step=5630 phase=C_full_covt + +[Dataset] cur_step=5630 phase=C_full_covt[Dataset] cur_step=5630 phase=C_full_covt[Dataset] cur_step=5630 phase=C_full_covt + + +[Dataset] cur_step=5630 phase=C_full_covt + 63%|██████████████████▊ | 5630/9000 [4:08:32<3:40:10, 3.92s/it][Dataset] cur_step=5630 phase=C_full_covt +[Dataset] cur_step=5630 phase=C_full_covt + {'loss': '3.173', 'grad_norm': '1.938', 'learning_rate': '1.684e-05', 'epoch': '0.2025'} + 63%|██████████████████▊ | 5630/9000 [4:08:32<3:40:10, 3.92s/it] {'lm_loss': '0.8435', 'visual_loss': '2.445', 'seg_loss': '0.6043', 'dino_loss': '0.8822', 'depth_loss': '0.4022', 'vggt_mse_loss': '0.399', 'vggt_cos_loss': '0.03229', 'pidinet_loss': '0.1717', 'siglip_loss': '0.3843', 'epoch': '0.2025'} + 63%|██████████████████▊ | 5630/9000 [4:08:36<3:40:10, 3.92s/it][Dataset] cur_step=5631 phase=C_full_covt +[Dataset] cur_step=5631 phase=C_full_covt +[Dataset] cur_step=5631 phase=C_full_covt +[Dataset] cur_step=5631 phase=C_full_covt +[Dataset] cur_step=5631 phase=C_full_covt +[Dataset] cur_step=5631 phase=C_full_covt +[Dataset] cur_step=5631 phase=C_full_covt + 63%|██████████████████▊ | 5631/9000 [4:08:36<3:44:32, 4.00s/it][Dataset] cur_step=5631 phase=C_full_covt + {'loss': '2.952', 'grad_norm': '2.388', 'learning_rate': '1.683e-05', 'epoch': '0.2026'} + 63%|██████████████████▊ | 5631/9000 [4:08:36<3:44:32, 4.00s/it] {'lm_loss': '0.02121', 'visual_loss': '2.559', 'seg_loss': '0.7156', 'dino_loss': '0.881', 'depth_loss': '0.2217', 'vggt_mse_loss': '0.22', 'vggt_cos_loss': '0.01692', 'pidinet_loss': '0.238', 'siglip_loss': '0.5029', 'epoch': '0.2026'} + 63%|██████████████████▊ | 5631/9000 [4:08:39<3:44:32, 4.00s/it][Dataset] cur_step=5632 phase=C_full_covt +[Dataset] cur_step=5632 phase=C_full_covt[Dataset] cur_step=5632 phase=C_full_covt + +[Dataset] cur_step=5632 phase=C_full_covt +[Dataset] cur_step=5632 phase=C_full_covt +[Dataset] cur_step=5632 phase=C_full_covt[Dataset] cur_step=5632 phase=C_full_covt + + 63%|██████████████████▊ | 5632/9000 [4:08:40<3:42:37, 3.97s/it][Dataset] cur_step=5632 phase=C_full_covt + {'loss': '3.154', 'grad_norm': '2.852', 'learning_rate': '1.682e-05', 'epoch': '0.2026'} + 63%|██████████████████▊ | 5632/9000 [4:08:40<3:42:37, 3.97s/it] {'lm_loss': '0.004759', 'visual_loss': '2.532', 'seg_loss': '0.723', 'dino_loss': '0.877', 'depth_loss': '0.2197', 'vggt_mse_loss': '0.2187', 'vggt_cos_loss': '0.0101', 'pidinet_loss': '0.1582', 'siglip_loss': '0.5543', 'epoch': '0.2026'} + 63%|██████████████████▊ | 5632/9000 [4:08:43<3:42:37, 3.97s/it][Dataset] cur_step=5633 phase=C_full_covt +[Dataset] cur_step=5633 phase=C_full_covt[Dataset] cur_step=5633 phase=C_full_covt + +[Dataset] cur_step=5633 phase=C_full_covt +[Dataset] cur_step=5633 phase=C_full_covt +[Dataset] cur_step=5633 phase=C_full_covt 63%|██████████████████▊ | 5633/9000 [4:08:44<3:41:33, 3.95s/it] +[Dataset] cur_step=5633 phase=C_full_covt +[Dataset] cur_step=5633 phase=C_full_covt + {'loss': '2.926', 'grad_norm': '2.18', 'learning_rate': '1.681e-05', 'epoch': '0.2026'} + 63%|██████████████████▊ | 5633/9000 [4:08:44<3:41:33, 3.95s/it] {'lm_loss': '0.4144', 'visual_loss': '2.646', 'seg_loss': '0.7965', 'dino_loss': '0.8914', 'depth_loss': '0.3021', 'vggt_mse_loss': '0.3', 'vggt_cos_loss': '0.02105', 'pidinet_loss': '0.2353', 'siglip_loss': '0.4204', 'epoch': '0.2026'} + 63%|██████████████████▊ | 5633/9000 [4:08:47<3:41:33, 3.95s/it][Dataset] cur_step=5634 phase=C_full_covt +[Dataset] cur_step=5634 phase=C_full_covt +[Dataset] cur_step=5634 phase=C_full_covt +[Dataset] cur_step=5634 phase=C_full_covt[Dataset] cur_step=5634 phase=C_full_covt[Dataset] cur_step=5634 phase=C_full_covt[Dataset] cur_step=5634 phase=C_full_covt + + + + 63%|██████████████████▊ | 5634/9000 [4:08:48<3:42:29, 3.97s/it][Dataset] cur_step=5634 phase=C_full_covt + {'loss': '2.983', 'grad_norm': '2.141', 'learning_rate': '1.68e-05', 'epoch': '0.2027'} + 63%|██████████████████▊ | 5634/9000 [4:08:48<3:42:29, 3.97s/it] {'lm_loss': '0.561', 'visual_loss': '2.607', 'seg_loss': '0.6091', 'dino_loss': '0.9197', 'depth_loss': '0.2775', 'vggt_mse_loss': '0.2755', 'vggt_cos_loss': '0.01935', 'pidinet_loss': '0.1576', 'siglip_loss': '0.6434', 'epoch': '0.2027'} + 63%|██████████████████▊ | 5634/9000 [4:08:51<3:42:29, 3.97s/it][Dataset] cur_step=5635 phase=C_full_covt +[Dataset] cur_step=5635 phase=C_full_covt +[Dataset] cur_step=5635 phase=C_full_covt +[Dataset] cur_step=5635 phase=C_full_covt +[Dataset] cur_step=5635 phase=C_full_covt +[Dataset] cur_step=5635 phase=C_full_covt +[Dataset] cur_step=5635 phase=C_full_covt[Dataset] cur_step=5635 phase=C_full_covt + + 63%|██████████████████▊ | 5635/9000 [4:08:53<3:48:37, 4.08s/it] {'loss': '3.14', 'grad_norm': '2.708', 'learning_rate': '1.68e-05', 'epoch': '0.2027'} + 63%|██████████████████▊ | 5635/9000 [4:08:53<3:48:37, 4.08s/it] {'lm_loss': '0.5597', 'visual_loss': '2.858', 'seg_loss': '0.7739', 'dino_loss': '0.9209', 'depth_loss': '0.2755', 'vggt_mse_loss': '0.2733', 'vggt_cos_loss': '0.02215', 'pidinet_loss': '0.3104', 'siglip_loss': '0.5772', 'epoch': '0.2027'} + 63%|██████████████████▊ | 5635/9000 [4:08:55<3:48:37, 4.08s/it][Dataset] cur_step=5636 phase=C_full_covt +[Dataset] cur_step=5636 phase=C_full_covt[Dataset] cur_step=5636 phase=C_full_covt + +[Dataset] cur_step=5636 phase=C_full_covt[Dataset] cur_step=5636 phase=C_full_covt[Dataset] cur_step=5636 phase=C_full_covt + + +[Dataset] cur_step=5636 phase=C_full_covt +[Dataset] cur_step=5636 phase=C_full_covt + 63%|██████████████████▊ | 5636/9000 [4:08:57<3:47:09, 4.05s/it] {'loss': '3.183', 'grad_norm': '1.435', 'learning_rate': '1.679e-05', 'epoch': '0.2028'} + 63%|██████████████████▊ | 5636/9000 [4:08:57<3:47:09, 4.05s/it] {'lm_loss': '0.3595', 'visual_loss': '2.896', 'seg_loss': '0.7378', 'dino_loss': '0.9212', 'depth_loss': '0.202', 'vggt_mse_loss': '0.2004', 'vggt_cos_loss': '0.01556', 'pidinet_loss': '0.2637', 'siglip_loss': '0.7715', 'epoch': '0.2028'} + 63%|██████████████████▊ | 5636/9000 [4:09:03<3:47:09, 4.05s/it][Dataset] cur_step=5637 phase=C_full_covt +[Dataset] cur_step=5637 phase=C_full_covt 63%|██████████████████▊ | 5637/9000 [4:09:03<4:29:54, 4.82s/it] +[Dataset] cur_step=5637 phase=C_full_covt +[Dataset] cur_step=5637 phase=C_full_covt[Dataset] cur_step=5637 phase=C_full_covt + +[Dataset] cur_step=5637 phase=C_full_covt +[Dataset] cur_step=5637 phase=C_full_covt +[Dataset] cur_step=5637 phase=C_full_covt + {'loss': '3.089', 'grad_norm': '1.991', 'learning_rate': '1.678e-05', 'epoch': '0.2028'} + 63%|██████████████████▊ | 5637/9000 [4:09:03<4:29:54, 4.82s/it] {'lm_loss': '0.1942', 'visual_loss': '2.539', 'seg_loss': '0.6553', 'dino_loss': '0.8755', 'depth_loss': '0.2229', 'vggt_mse_loss': '0.2214', 'vggt_cos_loss': '0.01579', 'pidinet_loss': '0.2373', 'siglip_loss': '0.5477', 'epoch': '0.2028'} + 63%|██████████████████▊ | 5637/9000 [4:09:07<4:29:54, 4.82s/it][Dataset] cur_step=5638 phase=C_full_covt +[Dataset] cur_step=5638 phase=C_full_covt[Dataset] cur_step=5638 phase=C_full_covt[Dataset] cur_step=5638 phase=C_full_covt + + +[Dataset] cur_step=5638 phase=C_full_covt[Dataset] cur_step=5638 phase=C_full_covt + +[Dataset] cur_step=5638 phase=C_full_covt +[Dataset] cur_step=5638 phase=C_full_covt + 63%|██████████████████▊ | 5638/9000 [4:09:07<4:17:43, 4.60s/it] {'loss': '2.95', 'grad_norm': '1.483', 'learning_rate': '1.677e-05', 'epoch': '0.2028'} + 63%|██████████████████▊ | 5638/9000 [4:09:07<4:17:43, 4.60s/it] {'lm_loss': '0.3402', 'visual_loss': '2.818', 'seg_loss': '0.7972', 'dino_loss': '0.8695', 'depth_loss': '0.4517', 'vggt_mse_loss': '0.4484', 'vggt_cos_loss': '0.03314', 'pidinet_loss': '0.2179', 'siglip_loss': '0.4818', 'epoch': '0.2028'} + 63%|██████████████████▊ | 5638/9000 [4:09:10<4:17:43, 4.60s/it][Dataset] cur_step=5639 phase=C_full_covt +[Dataset] cur_step=5639 phase=C_full_covt +[Dataset] cur_step=5639 phase=C_full_covt +[Dataset] cur_step=5639 phase=C_full_covt +[Dataset] cur_step=5639 phase=C_full_covt +[Dataset] cur_step=5639 phase=C_full_covt +[Dataset] cur_step=5639 phase=C_full_covt 63%|██████████████████▊ | 5639/9000 [4:09:11<4:04:24, 4.36s/it] +[Dataset] cur_step=5639 phase=C_full_covt + {'loss': '3.168', 'grad_norm': '5.101', 'learning_rate': '1.676e-05', 'epoch': '0.2029'} + 63%|██████████████████▊ | 5639/9000 [4:09:11<4:04:24, 4.36s/it] {'lm_loss': '0.3493', 'visual_loss': '2.671', 'seg_loss': '0.6596', 'dino_loss': '0.8612', 'depth_loss': '0.2489', 'vggt_mse_loss': '0.2476', 'vggt_cos_loss': '0.01341', 'pidinet_loss': '0.2531', 'siglip_loss': '0.6484', 'epoch': '0.2029'} + 63%|██████████████████▊ | 5639/9000 [4:09:15<4:04:24, 4.36s/it][Dataset] cur_step=5640 phase=C_full_covt +[Dataset] cur_step=5640 phase=C_full_covt[Dataset] cur_step=5640 phase=C_full_covt + +[Dataset] cur_step=5640 phase=C_full_covt[Dataset] cur_step=5640 phase=C_full_covt + +[Dataset] cur_step=5640 phase=C_full_covt +[Dataset] cur_step=5640 phase=C_full_covt + 63%|██████████████████▊ | 5640/9000 [4:09:15<4:00:04, 4.29s/it][Dataset] cur_step=5640 phase=C_full_covt + {'loss': '3.029', 'grad_norm': '1.819', 'learning_rate': '1.675e-05', 'epoch': '0.2029'} + 63%|██████████████████▊ | 5640/9000 [4:09:15<4:00:04, 4.29s/it] {'lm_loss': '0.5039', 'visual_loss': '2.649', 'seg_loss': '0.7351', 'dino_loss': '0.8927', 'depth_loss': '0.3456', 'vggt_mse_loss': '0.3428', 'vggt_cos_loss': '0.02781', 'pidinet_loss': '0.2502', 'siglip_loss': '0.4251', 'epoch': '0.2029'} + 63%|██████████████████▊ | 5640/9000 [4:09:18<4:00:04, 4.29s/it][Dataset] cur_step=5641 phase=C_full_covt[Dataset] cur_step=5641 phase=C_full_covt +[Dataset] cur_step=5641 phase=C_full_covt + +[Dataset] cur_step=5641 phase=C_full_covt +[Dataset] cur_step=5641 phase=C_full_covt +[Dataset] cur_step=5641 phase=C_full_covt +[Dataset] cur_step=5641 phase=C_full_covt +[Dataset] cur_step=5641 phase=C_full_covt + 63%|██████████████████▊ | 5641/9000 [4:09:19<3:53:33, 4.17s/it] {'loss': '3.144', 'grad_norm': '1.596', 'learning_rate': '1.674e-05', 'epoch': '0.2029'} + 63%|██████████████████▊ | 5641/9000 [4:09:19<3:53:33, 4.17s/it] {'lm_loss': '0.6845', 'visual_loss': '3.081', 'seg_loss': '0.9268', 'dino_loss': '0.9119', 'depth_loss': '0.3367', 'vggt_mse_loss': '0.3344', 'vggt_cos_loss': '0.02355', 'pidinet_loss': '0.2486', 'siglip_loss': '0.6565', 'epoch': '0.2029'} + 63%|██████████████████▊ | 5641/9000 [4:09:22<3:53:33, 4.17s/it][Dataset] cur_step=5642 phase=C_full_covt +[Dataset] cur_step=5642 phase=C_full_covt +[Dataset] cur_step=5642 phase=C_full_covt[Dataset] cur_step=5642 phase=C_full_covt + +[Dataset] cur_step=5642 phase=C_full_covt +[Dataset] cur_step=5642 phase=C_full_covt +[Dataset] cur_step=5642 phase=C_full_covt +[Dataset] cur_step=5642 phase=C_full_covt + 63%|██████████████████▊ | 5642/9000 [4:09:23<3:47:47, 4.07s/it] {'loss': '3.299', 'grad_norm': '1.476', 'learning_rate': '1.673e-05', 'epoch': '0.203'} + 63%|██████████████████▊ | 5642/9000 [4:09:23<3:47:47, 4.07s/it] {'lm_loss': '0.5799', 'visual_loss': '2.893', 'seg_loss': '0.709', 'dino_loss': '0.8982', 'depth_loss': '0.305', 'vggt_mse_loss': '0.3028', 'vggt_cos_loss': '0.02228', 'pidinet_loss': '0.304', 'siglip_loss': '0.6767', 'epoch': '0.203'} + 63%|██████████████████▊ | 5642/9000 [4:09:26<3:47:47, 4.07s/it][Dataset] cur_step=5643 phase=C_full_covt +[Dataset] cur_step=5643 phase=C_full_covt +[Dataset] cur_step=5643 phase=C_full_covt[Dataset] cur_step=5643 phase=C_full_covt +[Dataset] cur_step=5643 phase=C_full_covt + +[Dataset] cur_step=5643 phase=C_full_covt +[Dataset] cur_step=5643 phase=C_full_covt +[Dataset] cur_step=5643 phase=C_full_covt + 63%|██████████████████▊ | 5643/9000 [4:09:27<3:50:48, 4.13s/it] {'loss': '3.134', 'grad_norm': '1.794', 'learning_rate': '1.673e-05', 'epoch': '0.203'} + 63%|██████████████████▊ | 5643/9000 [4:09:27<3:50:48, 4.13s/it] {'lm_loss': '0.3191', 'visual_loss': '2.779', 'seg_loss': '0.6205', 'dino_loss': '0.8962', 'depth_loss': '0.2732', 'vggt_mse_loss': '0.2711', 'vggt_cos_loss': '0.02076', 'pidinet_loss': '0.2879', 'siglip_loss': '0.7015', 'epoch': '0.203'} + 63%|██████████████████▊ | 5643/9000 [4:09:31<3:50:48, 4.13s/it][Dataset] cur_step=5644 phase=C_full_covt[Dataset] cur_step=5644 phase=C_full_covt + +[Dataset] cur_step=5644 phase=C_full_covt +[Dataset] cur_step=5644 phase=C_full_covt[Dataset] cur_step=5644 phase=C_full_covt + +[Dataset] cur_step=5644 phase=C_full_covt +[Dataset] cur_step=5644 phase=C_full_covt +[Dataset] cur_step=5644 phase=C_full_covt 63%|██████████████████▊ | 5644/9000 [4:09:31<3:50:18, 4.12s/it] + {'loss': '3.454', 'grad_norm': '2.042', 'learning_rate': '1.672e-05', 'epoch': '0.203'} + 63%|██████████████████▊ | 5644/9000 [4:09:31<3:50:18, 4.12s/it] {'lm_loss': '1.099', 'visual_loss': '2.594', 'seg_loss': '0.7281', 'dino_loss': '0.8977', 'depth_loss': '0.2769', 'vggt_mse_loss': '0.2749', 'vggt_cos_loss': '0.01977', 'pidinet_loss': '0.2705', 'siglip_loss': '0.4208', 'epoch': '0.203'} + 63%|██████████████████▊ | 5644/9000 [4:09:35<3:50:18, 4.12s/it][Dataset] cur_step=5645 phase=C_full_covt +[Dataset] cur_step=5645 phase=C_full_covt +[Dataset] cur_step=5645 phase=C_full_covt[Dataset] cur_step=5645 phase=C_full_covt +[Dataset] cur_step=5645 phase=C_full_covt + +[Dataset] cur_step=5645 phase=C_full_covt[Dataset] cur_step=5645 phase=C_full_covt + +[Dataset] cur_step=5645 phase=C_full_covt + 63%|██████████████████▊ | 5645/9000 [4:09:35<3:49:49, 4.11s/it] {'loss': '3.306', 'grad_norm': '1.812', 'learning_rate': '1.671e-05', 'epoch': '0.2031'} + 63%|██████████████████▊ | 5645/9000 [4:09:35<3:49:49, 4.11s/it] {'lm_loss': '0.8044', 'visual_loss': '2.195', 'seg_loss': '0.6111', 'dino_loss': '0.8807', 'depth_loss': '0.1998', 'vggt_mse_loss': '0.1989', 'vggt_cos_loss': '0.009398', 'pidinet_loss': '0.1903', 'siglip_loss': '0.3127', 'epoch': '0.2031'} + 63%|██████████████████▊ | 5645/9000 [4:09:39<3:49:49, 4.11s/it][Dataset] cur_step=5646 phase=C_full_covt[Dataset] cur_step=5646 phase=C_full_covt + +[Dataset] cur_step=5646 phase=C_full_covt +[Dataset] cur_step=5646 phase=C_full_covt +[Dataset] cur_step=5646 phase=C_full_covt[Dataset] cur_step=5646 phase=C_full_covt + +[Dataset] cur_step=5646 phase=C_full_covt +[Dataset] cur_step=5646 phase=C_full_covt + 63%|██████████████████▊ | 5646/9000 [4:09:40<3:51:27, 4.14s/it] {'loss': '3.081', 'grad_norm': '2.039', 'learning_rate': '1.67e-05', 'epoch': '0.2031'} + 63%|██████████████████▊ | 5646/9000 [4:09:40<3:51:27, 4.14s/it] {'lm_loss': '0.7165', 'visual_loss': '3.11', 'seg_loss': '0.7285', 'dino_loss': '0.9323', 'depth_loss': '0.3115', 'vggt_mse_loss': '0.3091', 'vggt_cos_loss': '0.02441', 'pidinet_loss': '0.3474', 'siglip_loss': '0.7904', 'epoch': '0.2031'} + 63%|██████████████████▊ | 5646/9000 [4:09:43<3:51:27, 4.14s/it][Dataset] cur_step=5647 phase=C_full_covt[Dataset] cur_step=5647 phase=C_full_covt + +[Dataset] cur_step=5647 phase=C_full_covt[Dataset] cur_step=5647 phase=C_full_covt + +[Dataset] cur_step=5647 phase=C_full_covt +[Dataset] cur_step=5647 phase=C_full_covt +[Dataset] cur_step=5647 phase=C_full_covt +[Dataset] cur_step=5647 phase=C_full_covt + 63%|██████████████████▊ | 5647/9000 [4:09:43<3:43:11, 3.99s/it] {'loss': '2.952', 'grad_norm': '1.71', 'learning_rate': '1.669e-05', 'epoch': '0.2032'} + 63%|██████████████████▊ | 5647/9000 [4:09:43<3:43:11, 3.99s/it] {'lm_loss': '0.006802', 'visual_loss': '2.498', 'seg_loss': '0.7155', 'dino_loss': '0.8924', 'depth_loss': '0.257', 'vggt_mse_loss': '0.2552', 'vggt_cos_loss': '0.01836', 'pidinet_loss': '0.1598', 'siglip_loss': '0.4735', 'epoch': '0.2032'} + 63%|██████████████████▊ | 5647/9000 [4:09:47<3:43:11, 3.99s/it][Dataset] cur_step=5648 phase=C_full_covt +[Dataset] cur_step=5648 phase=C_full_covt[Dataset] cur_step=5648 phase=C_full_covt + +[Dataset] cur_step=5648 phase=C_full_covt +[Dataset] cur_step=5648 phase=C_full_covt +[Dataset] cur_step=5648 phase=C_full_covt 63%|██████████████████▊ | 5648/9000 [4:09:47<3:41:58, 3.97s/it] +[Dataset] cur_step=5648 phase=C_full_covt +[Dataset] cur_step=5648 phase=C_full_covt + {'loss': '3.001', 'grad_norm': '1.55', 'learning_rate': '1.668e-05', 'epoch': '0.2032'} + 63%|██████████████████▊ | 5648/9000 [4:09:47<3:41:58, 3.97s/it] {'lm_loss': '0.007204', 'visual_loss': '2.872', 'seg_loss': '0.7577', 'dino_loss': '0.8884', 'depth_loss': '0.24', 'vggt_mse_loss': '0.2379', 'vggt_cos_loss': '0.0201', 'pidinet_loss': '0.336', 'siglip_loss': '0.6497', 'epoch': '0.2032'} + 63%|██████████████████▊ | 5648/9000 [4:09:51<3:41:58, 3.97s/it][Dataset] cur_step=5649 phase=C_full_covt +[Dataset] cur_step=5649 phase=C_full_covt +[Dataset] cur_step=5649 phase=C_full_covt[Dataset] cur_step=5649 phase=C_full_covt + +[Dataset] cur_step=5649 phase=C_full_covt +[Dataset] cur_step=5649 phase=C_full_covt[Dataset] cur_step=5649 phase=C_full_covt + +[Dataset] cur_step=5649 phase=C_full_covt + 63%|██████████████████▊ | 5649/9000 [4:09:51<3:44:29, 4.02s/it] {'loss': '3.042', 'grad_norm': '2.2', 'learning_rate': '1.667e-05', 'epoch': '0.2032'} + 63%|██████████████████▊ | 5649/9000 [4:09:51<3:44:29, 4.02s/it] {'lm_loss': '0.3235', 'visual_loss': '2.618', 'seg_loss': '0.7316', 'dino_loss': '0.9004', 'depth_loss': '0.2041', 'vggt_mse_loss': '0.2029', 'vggt_cos_loss': '0.0121', 'pidinet_loss': '0.2618', 'siglip_loss': '0.5197', 'epoch': '0.2032'} + 63%|██████████████████▊ | 5649/9000 [4:09:54<3:44:29, 4.02s/it][Dataset] cur_step=5650 phase=C_full_covt +[Dataset] cur_step=5650 phase=C_full_covt +[Dataset] cur_step=5650 phase=C_full_covt +[Dataset] cur_step=5650 phase=C_full_covt +[Dataset] cur_step=5650 phase=C_full_covt +[Dataset] cur_step=5650 phase=C_full_covt +[Dataset] cur_step=5650 phase=C_full_covt +[Dataset] cur_step=5650 phase=C_full_covt + 63%|██████████████████▊ | 5650/9000 [4:09:58<4:25:42, 4.76s/it] {'loss': '3.068', 'grad_norm': '4.898', 'learning_rate': '1.667e-05', 'epoch': '0.2033'} + 63%|██████████████████▊ | 5650/9000 [4:09:58<4:25:42, 4.76s/it] {'lm_loss': '0.2864', 'visual_loss': '3.109', 'seg_loss': '0.8743', 'dino_loss': '0.9274', 'depth_loss': '0.3085', 'vggt_mse_loss': '0.3064', 'vggt_cos_loss': '0.02183', 'pidinet_loss': '0.3288', 'siglip_loss': '0.6701', 'epoch': '0.2033'} + 63%|██████████████████▊ | 5650/9000 [4:10:01<4:25:42, 4.76s/it][Dataset] cur_step=5651 phase=C_full_covt +[Dataset] cur_step=5651 phase=C_full_covt +[Dataset] cur_step=5651 phase=C_full_covt +[Dataset] cur_step=5651 phase=C_full_covt +[Dataset] cur_step=5651 phase=C_full_covt[Dataset] cur_step=5651 phase=C_full_covt + +[Dataset] cur_step=5651 phase=C_full_covt + 63%|██████████████████▊ | 5651/9000 [4:10:02<4:13:45, 4.55s/it][Dataset] cur_step=5651 phase=C_full_covt + {'loss': '3.426', 'grad_norm': '2.679', 'learning_rate': '1.666e-05', 'epoch': '0.2033'} + 63%|██████████████████▊ | 5651/9000 [4:10:02<4:13:45, 4.55s/it] {'lm_loss': '0.6274', 'visual_loss': '2.499', 'seg_loss': '0.6827', 'dino_loss': '0.8947', 'depth_loss': '0.1731', 'vggt_mse_loss': '0.1723', 'vggt_cos_loss': '0.008905', 'pidinet_loss': '0.1867', 'siglip_loss': '0.5616', 'epoch': '0.2033'} + 63%|██████████████████▊ | 5651/9000 [4:10:05<4:13:45, 4.55s/it][Dataset] cur_step=5652 phase=C_full_covt +[Dataset] cur_step=5652 phase=C_full_covt +[Dataset] cur_step=5652 phase=C_full_covt +[Dataset] cur_step=5652 phase=C_full_covt +[Dataset] cur_step=5652 phase=C_full_covt +[Dataset] cur_step=5652 phase=C_full_covt +[Dataset] cur_step=5652 phase=C_full_covt +[Dataset] cur_step=5652 phase=C_full_covt + 63%|██████████████████▊ | 5652/9000 [4:10:06<4:04:03, 4.37s/it] {'loss': '3.045', 'grad_norm': '1.608', 'learning_rate': '1.665e-05', 'epoch': '0.2033'} + 63%|██████████████████▊ | 5652/9000 [4:10:06<4:04:03, 4.37s/it] {'lm_loss': '0.6445', 'visual_loss': '2.776', 'seg_loss': '0.7449', 'dino_loss': '0.9185', 'depth_loss': '0.305', 'vggt_mse_loss': '0.3024', 'vggt_cos_loss': '0.02601', 'pidinet_loss': '0.2732', 'siglip_loss': '0.5348', 'epoch': '0.2033'} + 63%|██████████████████▊ | 5652/9000 [4:10:09<4:04:03, 4.37s/it][Dataset] cur_step=5653 phase=C_full_covt +[Dataset] cur_step=5653 phase=C_full_covt[Dataset] cur_step=5653 phase=C_full_covt + +[Dataset] cur_step=5653 phase=C_full_covt +[Dataset] cur_step=5653 phase=C_full_covt +[Dataset] cur_step=5653 phase=C_full_covt +[Dataset] cur_step=5653 phase=C_full_covt +[Dataset] cur_step=5653 phase=C_full_covt + 63%|██████████████████▊ | 5653/9000 [4:10:10<3:58:56, 4.28s/it] {'loss': '3.244', 'grad_norm': '3.104', 'learning_rate': '1.664e-05', 'epoch': '0.2034'} + 63%|██████████████████▊ | 5653/9000 [4:10:10<3:58:56, 4.28s/it] {'lm_loss': '0.9075', 'visual_loss': '2.853', 'seg_loss': '0.6933', 'dino_loss': '0.9188', 'depth_loss': '0.2185', 'vggt_mse_loss': '0.2172', 'vggt_cos_loss': '0.01324', 'pidinet_loss': '0.3311', 'siglip_loss': '0.6913', 'epoch': '0.2034'} + 63%|██████████████████▊ | 5653/9000 [4:10:13<3:58:56, 4.28s/it][Dataset] cur_step=5654 phase=C_full_covt +[Dataset] cur_step=5654 phase=C_full_covt +[Dataset] cur_step=5654 phase=C_full_covt +[Dataset] cur_step=5654 phase=C_full_covt[Dataset] cur_step=5654 phase=C_full_covt + +[Dataset] cur_step=5654 phase=C_full_covt +[Dataset] cur_step=5654 phase=C_full_covt + 63%|██████████████████▊ | 5654/9000 [4:10:14<3:52:18, 4.17s/it][Dataset] cur_step=5654 phase=C_full_covt + {'loss': '3.343', 'grad_norm': '1.925', 'learning_rate': '1.663e-05', 'epoch': '0.2034'} + 63%|██████████████████▊ | 5654/9000 [4:10:14<3:52:18, 4.17s/it] {'lm_loss': '0.9322', 'visual_loss': '2.729', 'seg_loss': '0.7071', 'dino_loss': '0.9169', 'depth_loss': '0.2195', 'vggt_mse_loss': '0.2179', 'vggt_cos_loss': '0.01591', 'pidinet_loss': '0.2653', 'siglip_loss': '0.6204', 'epoch': '0.2034'} + 63%|██████████████████▊ | 5654/9000 [4:10:17<3:52:18, 4.17s/it][Dataset] cur_step=5655 phase=C_full_covt +[Dataset] cur_step=5655 phase=C_full_covt +[Dataset] cur_step=5655 phase=C_full_covt +[Dataset] cur_step=5655 phase=C_full_covt +[Dataset] cur_step=5655 phase=C_full_covt +[Dataset] cur_step=5655 phase=C_full_covt +[Dataset] cur_step=5655 phase=C_full_covt +[Dataset] cur_step=5655 phase=C_full_covt + 63%|██████████████████▊ | 5655/9000 [4:10:18<3:46:12, 4.06s/it] {'loss': '3.497', 'grad_norm': '2.142', 'learning_rate': '1.662e-05', 'epoch': '0.2034'} + 63%|██████████████████▊ | 5655/9000 [4:10:18<3:46:12, 4.06s/it] {'lm_loss': '0.5451', 'visual_loss': '2.864', 'seg_loss': '0.728', 'dino_loss': '0.9273', 'depth_loss': '0.2442', 'vggt_mse_loss': '0.2426', 'vggt_cos_loss': '0.01587', 'pidinet_loss': '0.2613', 'siglip_loss': '0.7028', 'epoch': '0.2034'} + 63%|██████████████████▊ | 5655/9000 [4:10:21<3:46:12, 4.06s/it][Dataset] cur_step=5656 phase=C_full_covt +[Dataset] cur_step=5656 phase=C_full_covt +[Dataset] cur_step=5656 phase=C_full_covt +[Dataset] cur_step=5656 phase=C_full_covt +[Dataset] cur_step=5656 phase=C_full_covt[Dataset] cur_step=5656 phase=C_full_covt[Dataset] cur_step=5656 phase=C_full_covt + + +[Dataset] cur_step=5656 phase=C_full_covt + 63%|██████████████████▊ | 5656/9000 [4:10:22<3:47:34, 4.08s/it] {'loss': '2.999', 'grad_norm': '13.1', 'learning_rate': '1.661e-05', 'epoch': '0.2035'} + 63%|██████████████████▊ | 5656/9000 [4:10:22<3:47:34, 4.08s/it] {'lm_loss': '0.9056', 'visual_loss': '2.521', 'seg_loss': '0.6144', 'dino_loss': '0.905', 'depth_loss': '0.2041', 'vggt_mse_loss': '0.2027', 'vggt_cos_loss': '0.01385', 'pidinet_loss': '0.2188', 'siglip_loss': '0.5788', 'epoch': '0.2035'} + 63%|██████████████████▊ | 5656/9000 [4:10:25<3:47:34, 4.08s/it][Dataset] cur_step=5657 phase=C_full_covt[Dataset] cur_step=5657 phase=C_full_covt + +[Dataset] cur_step=5657 phase=C_full_covt[Dataset] cur_step=5657 phase=C_full_covt + +[Dataset] cur_step=5657 phase=C_full_covt +[Dataset] cur_step=5657 phase=C_full_covt +[Dataset] cur_step=5657 phase=C_full_covt +[Dataset] cur_step=5657 phase=C_full_covt + 63%|██████████████████▊ | 5657/9000 [4:10:25<3:41:41, 3.98s/it] {'loss': '3.081', 'grad_norm': '1.871', 'learning_rate': '1.661e-05', 'epoch': '0.2035'} + 63%|██████████████████▊ | 5657/9000 [4:10:25<3:41:41, 3.98s/it] {'lm_loss': '0.544', 'visual_loss': '2.718', 'seg_loss': '0.7113', 'dino_loss': '0.9397', 'depth_loss': '0.2696', 'vggt_mse_loss': '0.2674', 'vggt_cos_loss': '0.02163', 'pidinet_loss': '0.2256', 'siglip_loss': '0.5722', 'epoch': '0.2035'} + 63%|██████████████████▊ | 5657/9000 [4:10:29<3:41:41, 3.98s/it][Dataset] cur_step=5658 phase=C_full_covt +[Dataset] cur_step=5658 phase=C_full_covt +[Dataset] cur_step=5658 phase=C_full_covt +[Dataset] cur_step=5658 phase=C_full_covt[Dataset] cur_step=5658 phase=C_full_covt + +[Dataset] cur_step=5658 phase=C_full_covt[Dataset] cur_step=5658 phase=C_full_covt +[Dataset] cur_step=5658 phase=C_full_covt + + 63%|██████████████████▊ | 5658/9000 [4:10:30<3:44:40, 4.03s/it] {'loss': '3.007', 'grad_norm': '1.736', 'learning_rate': '1.66e-05', 'epoch': '0.2035'} + 63%|██████████████████▊ | 5658/9000 [4:10:30<3:44:40, 4.03s/it] {'lm_loss': '0.4882', 'visual_loss': '2.493', 'seg_loss': '0.6453', 'dino_loss': '0.8726', 'depth_loss': '0.1794', 'vggt_mse_loss': '0.1782', 'vggt_cos_loss': '0.01173', 'pidinet_loss': '0.2266', 'siglip_loss': '0.5689', 'epoch': '0.2035'} + 63%|██████████████████▊ | 5658/9000 [4:10:33<3:44:40, 4.03s/it][Dataset] cur_step=5659 phase=C_full_covt +[Dataset] cur_step=5659 phase=C_full_covt +[Dataset] cur_step=5659 phase=C_full_covt +[Dataset] cur_step=5659 phase=C_full_covt +[Dataset] cur_step=5659 phase=C_full_covt +[Dataset] cur_step=5659 phase=C_full_covt[Dataset] cur_step=5659 phase=C_full_covt + +[Dataset] cur_step=5659 phase=C_full_covt + 63%|██████████████████▊ | 5659/9000 [4:10:33<3:39:22, 3.94s/it] {'loss': '3.044', 'grad_norm': '2.063', 'learning_rate': '1.659e-05', 'epoch': '0.2036'} + 63%|██████████████████▊ | 5659/9000 [4:10:33<3:39:22, 3.94s/it] {'lm_loss': '0.8306', 'visual_loss': '2.735', 'seg_loss': '0.6856', 'dino_loss': '0.9269', 'depth_loss': '0.2661', 'vggt_mse_loss': '0.2644', 'vggt_cos_loss': '0.01744', 'pidinet_loss': '0.253', 'siglip_loss': '0.6029', 'epoch': '0.2036'} + 63%|██████████████████▊ | 5659/9000 [4:10:36<3:39:22, 3.94s/it][Dataset] cur_step=5660 phase=C_full_covt +[Dataset] cur_step=5660 phase=C_full_covt +[Dataset] cur_step=5660 phase=C_full_covt +[Dataset] cur_step=5660 phase=C_full_covt[Dataset] cur_step=5660 phase=C_full_covt +[Dataset] cur_step=5660 phase=C_full_covt + +[Dataset] cur_step=5660 phase=C_full_covt +[Dataset] cur_step=5660 phase=C_full_covt + 63%|██████████████████▊ | 5660/9000 [4:10:37<3:38:06, 3.92s/it] {'loss': '3.182', 'grad_norm': '1.523', 'learning_rate': '1.658e-05', 'epoch': '0.2036'} + 63%|██████████████████▊ | 5660/9000 [4:10:37<3:38:06, 3.92s/it] {'lm_loss': '0.3578', 'visual_loss': '2.789', 'seg_loss': '0.6299', 'dino_loss': '0.8801', 'depth_loss': '0.3775', 'vggt_mse_loss': '0.3742', 'vggt_cos_loss': '0.0325', 'pidinet_loss': '0.3017', 'siglip_loss': '0.6001', 'epoch': '0.2036'} + 63%|██████████████████▊ | 5660/9000 [4:10:41<3:38:06, 3.92s/it][Dataset] cur_step=5661 phase=C_full_covt +[Dataset] cur_step=5661 phase=C_full_covt +[Dataset] cur_step=5661 phase=C_full_covt +[Dataset] cur_step=5661 phase=C_full_covt[Dataset] cur_step=5661 phase=C_full_covt + +[Dataset] cur_step=5661 phase=C_full_covt +[Dataset] cur_step=5661 phase=C_full_covt +[Dataset] cur_step=5661 phase=C_full_covt + 63%|██████████████████▊ | 5661/9000 [4:10:43<4:17:44, 4.63s/it] {'loss': '3.157', 'grad_norm': '2.517', 'learning_rate': '1.657e-05', 'epoch': '0.2037'} + 63%|██████████████████▊ | 5661/9000 [4:10:43<4:17:44, 4.63s/it] {'lm_loss': '0.5508', 'visual_loss': '2.658', 'seg_loss': '0.6652', 'dino_loss': '0.8965', 'depth_loss': '0.2814', 'vggt_mse_loss': '0.2799', 'vggt_cos_loss': '0.0153', 'pidinet_loss': '0.3089', 'siglip_loss': '0.5064', 'epoch': '0.2037'} + 63%|██████████████████▊ | 5661/9000 [4:10:47<4:17:44, 4.63s/it][Dataset] cur_step=5662 phase=C_full_covt +[Dataset] cur_step=5662 phase=C_full_covt +[Dataset] cur_step=5662 phase=C_full_covt +[Dataset] cur_step=5662 phase=C_full_covt +[Dataset] cur_step=5662 phase=C_full_covt +[Dataset] cur_step=5662 phase=C_full_covt +[Dataset] cur_step=5662 phase=C_full_covt +[Dataset] cur_step=5662 phase=C_full_covt + 63%|██████████████████▊ | 5662/9000 [4:10:47<4:03:34, 4.38s/it] {'loss': '3.228', 'grad_norm': '2.012', 'learning_rate': '1.656e-05', 'epoch': '0.2037'} + 63%|██████████████████▊ | 5662/9000 [4:10:47<4:03:34, 4.38s/it] {'lm_loss': '0.5408', 'visual_loss': '2.899', 'seg_loss': '0.836', 'dino_loss': '0.9263', 'depth_loss': '0.3217', 'vggt_mse_loss': '0.3195', 'vggt_cos_loss': '0.02217', 'pidinet_loss': '0.2684', 'siglip_loss': '0.5465', 'epoch': '0.2037'} + 63%|██████████████████▊ | 5662/9000 [4:10:50<4:03:34, 4.38s/it][Dataset] cur_step=5663 phase=C_full_covt +[Dataset] cur_step=5663 phase=C_full_covt +[Dataset] cur_step=5663 phase=C_full_covt +[Dataset] cur_step=5663 phase=C_full_covt +[Dataset] cur_step=5663 phase=C_full_covt +[Dataset] cur_step=5663 phase=C_full_covt +[Dataset] cur_step=5663 phase=C_full_covt +[Dataset] cur_step=5663 phase=C_full_covt + 63%|██████████████████▉ | 5663/9000 [4:10:51<3:57:26, 4.27s/it] {'loss': '2.986', 'grad_norm': '1.6', 'learning_rate': '1.655e-05', 'epoch': '0.2037'} + 63%|██████████████████▉ | 5663/9000 [4:10:51<3:57:26, 4.27s/it] {'lm_loss': '0.6462', 'visual_loss': '2.567', 'seg_loss': '0.6706', 'dino_loss': '0.922', 'depth_loss': '0.2317', 'vggt_mse_loss': '0.2305', 'vggt_cos_loss': '0.01157', 'pidinet_loss': '0.2779', 'siglip_loss': '0.4646', 'epoch': '0.2037'} + 63%|██████████████████▉ | 5663/9000 [4:10:55<3:57:26, 4.27s/it][Dataset] cur_step=5664 phase=C_full_covt +[Dataset] cur_step=5664 phase=C_full_covt +[Dataset] cur_step=5664 phase=C_full_covt + 63%|██████████████████▉ | 5664/9000 [4:10:56<3:57:55, 4.28s/it][Dataset] cur_step=5664 phase=C_full_covt +[Dataset] cur_step=5664 phase=C_full_covt +[Dataset] cur_step=5664 phase=C_full_covt[Dataset] cur_step=5664 phase=C_full_covt + +[Dataset] cur_step=5664 phase=C_full_covt + {'loss': '3.13', 'grad_norm': '1.791', 'learning_rate': '1.654e-05', 'epoch': '0.2038'} + 63%|██████████████████▉ | 5664/9000 [4:10:56<3:57:55, 4.28s/it] {'lm_loss': '0.2866', 'visual_loss': '2.867', 'seg_loss': '0.7593', 'dino_loss': '0.9253', 'depth_loss': '0.2716', 'vggt_mse_loss': '0.2699', 'vggt_cos_loss': '0.01707', 'pidinet_loss': '0.255', 'siglip_loss': '0.6561', 'epoch': '0.2038'} + 63%|██████████████████▉ | 5664/9000 [4:10:59<3:57:55, 4.28s/it][Dataset] cur_step=5665 phase=C_full_covt +[Dataset] cur_step=5665 phase=C_full_covt +[Dataset] cur_step=5665 phase=C_full_covt +[Dataset] cur_step=5665 phase=C_full_covt +[Dataset] cur_step=5665 phase=C_full_covt[Dataset] cur_step=5665 phase=C_full_covt + +[Dataset] cur_step=5665 phase=C_full_covt +[Dataset] cur_step=5665 phase=C_full_covt + 63%|██████████████████▉ | 5665/9000 [4:11:02<4:38:07, 5.00s/it] {'loss': '3.116', 'grad_norm': '14.37', 'learning_rate': '1.654e-05', 'epoch': '0.2038'} + 63%|██████████████████▉ | 5665/9000 [4:11:02<4:38:07, 5.00s/it] {'lm_loss': '0.9323', 'visual_loss': '2.6', 'seg_loss': '0.7442', 'dino_loss': '0.8921', 'depth_loss': '0.228', 'vggt_mse_loss': '0.2266', 'vggt_cos_loss': '0.01383', 'pidinet_loss': '0.1914', 'siglip_loss': '0.5444', 'epoch': '0.2038'} + 63%|██████████████████▉ | 5665/9000 [4:11:06<4:38:07, 5.00s/it][Dataset] cur_step=5666 phase=C_full_covt +[Dataset] cur_step=5666 phase=C_full_covt +[Dataset] cur_step=5666 phase=C_full_covt[Dataset] cur_step=5666 phase=C_full_covt + +[Dataset] cur_step=5666 phase=C_full_covt[Dataset] cur_step=5666 phase=C_full_covt + + 63%|██████████████████▉ | 5666/9000 [4:11:06<4:23:48, 4.75s/it][Dataset] cur_step=5666 phase=C_full_covt +[Dataset] cur_step=5666 phase=C_full_covt + {'loss': '3.176', 'grad_norm': '7.804', 'learning_rate': '1.653e-05', 'epoch': '0.2038'} + 63%|██████████████████▉ | 5666/9000 [4:11:06<4:23:48, 4.75s/it] {'lm_loss': '0.4315', 'visual_loss': '2.647', 'seg_loss': '0.7268', 'dino_loss': '0.9249', 'depth_loss': '0.2824', 'vggt_mse_loss': '0.2804', 'vggt_cos_loss': '0.02038', 'pidinet_loss': '0.2269', 'siglip_loss': '0.4856', 'epoch': '0.2038'} + 63%|██████████████████▉ | 5666/9000 [4:11:10<4:23:48, 4.75s/it][Dataset] cur_step=5667 phase=C_full_covt +[Dataset] cur_step=5667 phase=C_full_covt[Dataset] cur_step=5667 phase=C_full_covt + +[Dataset] cur_step=5667 phase=C_full_covt +[Dataset] cur_step=5667 phase=C_full_covt[Dataset] cur_step=5667 phase=C_full_covt + +[Dataset] cur_step=5667 phase=C_full_covt +[Dataset] cur_step=5667 phase=C_full_covt + 63%|██████████████████▉ | 5667/9000 [4:11:13<4:47:37, 5.18s/it] {'loss': '3.095', 'grad_norm': '4.636', 'learning_rate': '1.652e-05', 'epoch': '0.2039'} + 63%|██████████████████▉ | 5667/9000 [4:11:13<4:47:37, 5.18s/it] {'lm_loss': '0.001028', 'visual_loss': '2.655', 'seg_loss': '0.7184', 'dino_loss': '0.925', 'depth_loss': '0.2117', 'vggt_mse_loss': '0.2099', 'vggt_cos_loss': '0.01725', 'pidinet_loss': '0.2579', 'siglip_loss': '0.5421', 'epoch': '0.2039'} + 63%|██████████████████▉ | 5667/9000 [4:11:16<4:47:37, 5.18s/it][Dataset] cur_step=5668 phase=C_full_covt +[Dataset] cur_step=5668 phase=C_full_covt +[Dataset] cur_step=5668 phase=C_full_covt +[Dataset] cur_step=5668 phase=C_full_covt[Dataset] cur_step=5668 phase=C_full_covt + +[Dataset] cur_step=5668 phase=C_full_covt +[Dataset] cur_step=5668 phase=C_full_covt + 63%|██████████████████▉ | 5668/9000 [4:11:17<4:37:43, 5.00s/it][Dataset] cur_step=5668 phase=C_full_covt + {'loss': '3.073', 'grad_norm': '8.791', 'learning_rate': '1.651e-05', 'epoch': '0.2039'} + 63%|██████████████████▉ | 5668/9000 [4:11:17<4:37:43, 5.00s/it] {'lm_loss': '0.01654', 'visual_loss': '2.885', 'seg_loss': '0.6954', 'dino_loss': '0.913', 'depth_loss': '0.3954', 'vggt_mse_loss': '0.3925', 'vggt_cos_loss': '0.02872', 'pidinet_loss': '0.2873', 'siglip_loss': '0.5941', 'epoch': '0.2039'} + 63%|██████████████████▉ | 5668/9000 [4:11:20<4:37:43, 5.00s/it][Dataset] cur_step=5669 phase=C_full_covt +[Dataset] cur_step=5669 phase=C_full_covt +[Dataset] cur_step=5669 phase=C_full_covt +[Dataset] cur_step=5669 phase=C_full_covt +[Dataset] cur_step=5669 phase=C_full_covt +[Dataset] cur_step=5669 phase=C_full_covt +[Dataset] cur_step=5669 phase=C_full_covt +[Dataset] cur_step=5669 phase=C_full_covt + 63%|██████████████████▉ | 5669/9000 [4:11:22<4:28:09, 4.83s/it] {'loss': '3.148', 'grad_norm': '4.908', 'learning_rate': '1.65e-05', 'epoch': '0.2039'} + 63%|██████████████████▉ | 5669/9000 [4:11:22<4:28:09, 4.83s/it] {'lm_loss': '0.4894', 'visual_loss': '2.874', 'seg_loss': '0.6318', 'dino_loss': '0.937', 'depth_loss': '0.2944', 'vggt_mse_loss': '0.2923', 'vggt_cos_loss': '0.02107', 'pidinet_loss': '0.2554', 'siglip_loss': '0.7551', 'epoch': '0.2039'} + 63%|██████████████████▉ | 5669/9000 [4:11:25<4:28:09, 4.83s/it][Dataset] cur_step=5670 phase=C_full_covt +[Dataset] cur_step=5670 phase=C_full_covt +[Dataset] cur_step=5670 phase=C_full_covt +[Dataset] cur_step=5670 phase=C_full_covt +[Dataset] cur_step=5670 phase=C_full_covt +[Dataset] cur_step=5670 phase=C_full_covt +[Dataset] cur_step=5670 phase=C_full_covt + 63%|██████████████████▉ | 5670/9000 [4:11:26<4:12:20, 4.55s/it][Dataset] cur_step=5670 phase=C_full_covt + {'loss': '3.175', 'grad_norm': '2.37', 'learning_rate': '1.649e-05', 'epoch': '0.204'} + 63%|██████████████████▉ | 5670/9000 [4:11:26<4:12:20, 4.55s/it] {'lm_loss': '0.005616', 'visual_loss': '2.403', 'seg_loss': '0.6897', 'dino_loss': '0.9016', 'depth_loss': '0.2539', 'vggt_mse_loss': '0.2525', 'vggt_cos_loss': '0.01435', 'pidinet_loss': '0.1782', 'siglip_loss': '0.3794', 'epoch': '0.204'} + 63%|██████████████████▉ | 5670/9000 [4:11:29<4:12:20, 4.55s/it][Dataset] cur_step=5671 phase=C_full_covt +[Dataset] cur_step=5671 phase=C_full_covt +[Dataset] cur_step=5671 phase=C_full_covt +[Dataset] cur_step=5671 phase=C_full_covt +[Dataset] cur_step=5671 phase=C_full_covt +[Dataset] cur_step=5671 phase=C_full_covt[Dataset] cur_step=5671 phase=C_full_covt + + 63%|██████████████████▉ | 5671/9000 [4:11:30<4:03:25, 4.39s/it][Dataset] cur_step=5671 phase=C_full_covt + {'loss': '2.983', 'grad_norm': '1.681', 'learning_rate': '1.648e-05', 'epoch': '0.204'} + 63%|██████████████████▉ | 5671/9000 [4:11:30<4:03:25, 4.39s/it] {'lm_loss': '0.005813', 'visual_loss': '2.474', 'seg_loss': '0.6068', 'dino_loss': '0.875', 'depth_loss': '0.1759', 'vggt_mse_loss': '0.1747', 'vggt_cos_loss': '0.01149', 'pidinet_loss': '0.2266', 'siglip_loss': '0.5895', 'epoch': '0.204'} + 63%|██████████████████▉ | 5671/9000 [4:11:33<4:03:25, 4.39s/it][Dataset] cur_step=5672 phase=C_full_covt +[Dataset] cur_step=5672 phase=C_full_covt[Dataset] cur_step=5672 phase=C_full_covt + 63%|██████████████████▉ | 5672/9000 [4:11:34<4:01:05, 4.35s/it] +[Dataset] cur_step=5672 phase=C_full_covt +[Dataset] cur_step=5672 phase=C_full_covt[Dataset] cur_step=5672 phase=C_full_covt + +[Dataset] cur_step=5672 phase=C_full_covt +[Dataset] cur_step=5672 phase=C_full_covt + {'loss': '2.992', 'grad_norm': '1.913', 'learning_rate': '1.648e-05', 'epoch': '0.2041'} + 63%|██████████████████▉ | 5672/9000 [4:11:34<4:01:05, 4.35s/it] {'lm_loss': '0.8591', 'visual_loss': '2.615', 'seg_loss': '0.5996', 'dino_loss': '0.9204', 'depth_loss': '0.2485', 'vggt_mse_loss': '0.2468', 'vggt_cos_loss': '0.01721', 'pidinet_loss': '0.2259', 'siglip_loss': '0.6204', 'epoch': '0.2041'} + 63%|██████████████████▉ | 5672/9000 [4:11:37<4:01:05, 4.35s/it][Dataset] cur_step=5673 phase=C_full_covt +[Dataset] cur_step=5673 phase=C_full_covt +[Dataset] cur_step=5673 phase=C_full_covt +[Dataset] cur_step=5673 phase=C_full_covt + 63%|██████████████████▉ | 5673/9000 [4:11:38<3:57:23, 4.28s/it][Dataset] cur_step=5673 phase=C_full_covt +[Dataset] cur_step=5673 phase=C_full_covt[Dataset] cur_step=5673 phase=C_full_covt + +[Dataset] cur_step=5673 phase=C_full_covt + {'loss': '3.253', 'grad_norm': '2.333', 'learning_rate': '1.647e-05', 'epoch': '0.2041'} + 63%|██████████████████▉ | 5673/9000 [4:11:38<3:57:23, 4.28s/it] {'lm_loss': '0.007836', 'visual_loss': '2.524', 'seg_loss': '0.6435', 'dino_loss': '0.9292', 'depth_loss': '0.2529', 'vggt_mse_loss': '0.2513', 'vggt_cos_loss': '0.01572', 'pidinet_loss': '0.1768', 'siglip_loss': '0.5215', 'epoch': '0.2041'} + 63%|██████████████████▉ | 5673/9000 [4:11:41<3:57:23, 4.28s/it][Dataset] cur_step=5674 phase=C_full_covt[Dataset] cur_step=5674 phase=C_full_covt + +[Dataset] cur_step=5674 phase=C_full_covt +[Dataset] cur_step=5674 phase=C_full_covt +[Dataset] cur_step=5674 phase=C_full_covt +[Dataset] cur_step=5674 phase=C_full_covt +[Dataset] cur_step=5674 phase=C_full_covt +[Dataset] cur_step=5674 phase=C_full_covt + 63%|██████████████████▉ | 5674/9000 [4:11:42<3:49:40, 4.14s/it] {'loss': '3.282', 'grad_norm': '2.649', 'learning_rate': '1.646e-05', 'epoch': '0.2041'} + 63%|██████████████████▉ | 5674/9000 [4:11:42<3:49:40, 4.14s/it] {'lm_loss': '0.3721', 'visual_loss': '2.704', 'seg_loss': '0.6543', 'dino_loss': '0.9277', 'depth_loss': '0.316', 'vggt_mse_loss': '0.3138', 'vggt_cos_loss': '0.0227', 'pidinet_loss': '0.2467', 'siglip_loss': '0.5595', 'epoch': '0.2041'} + 63%|██████████████████▉ | 5674/9000 [4:11:45<3:49:40, 4.14s/it][Dataset] cur_step=5675 phase=C_full_covt +[Dataset] cur_step=5675 phase=C_full_covt + 63%|██████████████████▉ | 5675/9000 [4:11:46<3:46:26, 4.09s/it][Dataset] cur_step=5675 phase=C_full_covt +[Dataset] cur_step=5675 phase=C_full_covt +[Dataset] cur_step=5675 phase=C_full_covt +[Dataset] cur_step=5675 phase=C_full_covt +[Dataset] cur_step=5675 phase=C_full_covt +[Dataset] cur_step=5675 phase=C_full_covt + {'loss': '3.161', 'grad_norm': '1.746', 'learning_rate': '1.645e-05', 'epoch': '0.2042'} + 63%|██████████████████▉ | 5675/9000 [4:11:46<3:46:26, 4.09s/it] {'lm_loss': '0.5117', 'visual_loss': '2.777', 'seg_loss': '0.6112', 'dino_loss': '0.894', 'depth_loss': '0.387', 'vggt_mse_loss': '0.3843', 'vggt_cos_loss': '0.02669', 'pidinet_loss': '0.2624', 'siglip_loss': '0.6221', 'epoch': '0.2042'} + 63%|██████████████████▉ | 5675/9000 [4:11:49<3:46:26, 4.09s/it][Dataset] cur_step=5676 phase=C_full_covt[Dataset] cur_step=5676 phase=C_full_covt + +[Dataset] cur_step=5676 phase=C_full_covt +[Dataset] cur_step=5676 phase=C_full_covt +[Dataset] cur_step=5676 phase=C_full_covt +[Dataset] cur_step=5676 phase=C_full_covt +[Dataset] cur_step=5676 phase=C_full_covt[Dataset] cur_step=5676 phase=C_full_covt + + 63%|██████████████████▉ | 5676/9000 [4:11:50<3:48:35, 4.13s/it] {'loss': '3.01', 'grad_norm': '2.438', 'learning_rate': '1.644e-05', 'epoch': '0.2042'} + 63%|██████████████████▉ | 5676/9000 [4:11:50<3:48:35, 4.13s/it] {'lm_loss': '0.4564', 'visual_loss': '2.737', 'seg_loss': '0.69', 'dino_loss': '0.9071', 'depth_loss': '0.2077', 'vggt_mse_loss': '0.2063', 'vggt_cos_loss': '0.01346', 'pidinet_loss': '0.2266', 'siglip_loss': '0.706', 'epoch': '0.2042'} + 63%|██████████████████▉ | 5676/9000 [4:11:53<3:48:35, 4.13s/it][Dataset] cur_step=5677 phase=C_full_covt +[Dataset] cur_step=5677 phase=C_full_covt +[Dataset] cur_step=5677 phase=C_full_covt +[Dataset] cur_step=5677 phase=C_full_covt +[Dataset] cur_step=5677 phase=C_full_covt +[Dataset] cur_step=5677 phase=C_full_covt +[Dataset] cur_step=5677 phase=C_full_covt +[Dataset] cur_step=5677 phase=C_full_covt + 63%|██████████████████▉ | 5677/9000 [4:11:54<3:44:44, 4.06s/it] {'loss': '3.256', 'grad_norm': '1.723', 'learning_rate': '1.643e-05', 'epoch': '0.2042'} + 63%|██████████████████▉ | 5677/9000 [4:11:54<3:44:44, 4.06s/it] {'lm_loss': '0.395', 'visual_loss': '2.8', 'seg_loss': '0.6536', 'dino_loss': '0.9061', 'depth_loss': '0.2605', 'vggt_mse_loss': '0.2584', 'vggt_cos_loss': '0.02101', 'pidinet_loss': '0.226', 'siglip_loss': '0.7534', 'epoch': '0.2042'} + 63%|██████████████████▉ | 5677/9000 [4:11:57<3:44:44, 4.06s/it][Dataset] cur_step=5678 phase=C_full_covt +[Dataset] cur_step=5678 phase=C_full_covt +[Dataset] cur_step=5678 phase=C_full_covt +[Dataset] cur_step=5678 phase=C_full_covt +[Dataset] cur_step=5678 phase=C_full_covt +[Dataset] cur_step=5678 phase=C_full_covt +[Dataset] cur_step=5678 phase=C_full_covt 63%|██████████████████▉ | 5678/9000 [4:12:00<4:21:21, 4.72s/it] +[Dataset] cur_step=5678 phase=C_full_covt + {'loss': '2.825', 'grad_norm': '1.461', 'learning_rate': '1.642e-05', 'epoch': '0.2043'} + 63%|██████████████████▉ | 5678/9000 [4:12:00<4:21:21, 4.72s/it] {'lm_loss': '0.009342', 'visual_loss': '2.783', 'seg_loss': '0.6219', 'dino_loss': '0.9016', 'depth_loss': '0.2614', 'vggt_mse_loss': '0.2594', 'vggt_cos_loss': '0.01942', 'pidinet_loss': '0.2537', 'siglip_loss': '0.7439', 'epoch': '0.2043'} + 63%|██████████████████▉ | 5678/9000 [4:12:04<4:21:21, 4.72s/it][Dataset] cur_step=5679 phase=C_full_covt[Dataset] cur_step=5679 phase=C_full_covt + +[Dataset] cur_step=5679 phase=C_full_covt +[Dataset] cur_step=5679 phase=C_full_covt +[Dataset] cur_step=5679 phase=C_full_covt +[Dataset] cur_step=5679 phase=C_full_covt + 63%|██████████████████▉ | 5679/9000 [4:12:04<4:13:05, 4.57s/it][Dataset] cur_step=5679 phase=C_full_covt +[Dataset] cur_step=5679 phase=C_full_covt + {'loss': '3.277', 'grad_norm': '1.42', 'learning_rate': '1.641e-05', 'epoch': '0.2043'} + 63%|██████████████████▉ | 5679/9000 [4:12:04<4:13:05, 4.57s/it] {'lm_loss': '0.542', 'visual_loss': '2.535', 'seg_loss': '0.6581', 'dino_loss': '0.9016', 'depth_loss': '0.2608', 'vggt_mse_loss': '0.2591', 'vggt_cos_loss': '0.01698', 'pidinet_loss': '0.1781', 'siglip_loss': '0.5364', 'epoch': '0.2043'} + 63%|██████████████████▉ | 5679/9000 [4:12:08<4:13:05, 4.57s/it][Dataset] cur_step=5680 phase=C_full_covt +[Dataset] cur_step=5680 phase=C_full_covt[Dataset] cur_step=5680 phase=C_full_covt + + 63%|██████████████████▉ | 5680/9000 [4:12:08<4:03:55, 4.41s/it][Dataset] cur_step=5680 phase=C_full_covt +[Dataset] cur_step=5680 phase=C_full_covt +[Dataset] cur_step=5680 phase=C_full_covt +[Dataset] cur_step=5680 phase=C_full_covt +[Dataset] cur_step=5680 phase=C_full_covt + {'loss': '2.997', 'grad_norm': '1.573', 'learning_rate': '1.641e-05', 'epoch': '0.2043'} + 63%|██████████████████▉ | 5680/9000 [4:12:08<4:03:55, 4.41s/it] {'lm_loss': '0.5151', 'visual_loss': '2.223', 'seg_loss': '0.5245', 'dino_loss': '0.8964', 'depth_loss': '0.2293', 'vggt_mse_loss': '0.2279', 'vggt_cos_loss': '0.01402', 'pidinet_loss': '0.159', 'siglip_loss': '0.4133', 'epoch': '0.2043'} + 63%|██████████████████▉ | 5680/9000 [4:12:12<4:03:55, 4.41s/it][Dataset] cur_step=5681 phase=C_full_covt[Dataset] cur_step=5681 phase=C_full_covt + +[Dataset] cur_step=5681 phase=C_full_covt +[Dataset] cur_step=5681 phase=C_full_covt +[Dataset] cur_step=5681 phase=C_full_covt +[Dataset] cur_step=5681 phase=C_full_covt +[Dataset] cur_step=5681 phase=C_full_covt 63%|██████████████████▉ | 5681/9000 [4:12:13<4:00:58, 4.36s/it] +[Dataset] cur_step=5681 phase=C_full_covt + {'loss': '3.131', 'grad_norm': '4.419', 'learning_rate': '1.64e-05', 'epoch': '0.2044'} + 63%|██████████████████▉ | 5681/9000 [4:12:13<4:00:58, 4.36s/it] {'lm_loss': '0.0003525', 'visual_loss': '2.512', 'seg_loss': '0.732', 'dino_loss': '0.9035', 'depth_loss': '0.2512', 'vggt_mse_loss': '0.2496', 'vggt_cos_loss': '0.01579', 'pidinet_loss': '0.2121', 'siglip_loss': '0.4133', 'epoch': '0.2044'} + 63%|██████████████████▉ | 5681/9000 [4:12:16<4:00:58, 4.36s/it][Dataset] cur_step=5682 phase=C_full_covt +[Dataset] cur_step=5682 phase=C_full_covt +[Dataset] cur_step=5682 phase=C_full_covt +[Dataset] cur_step=5682 phase=C_full_covt +[Dataset] cur_step=5682 phase=C_full_covt +[Dataset] cur_step=5682 phase=C_full_covt +[Dataset] cur_step=5682 phase=C_full_covt +[Dataset] cur_step=5682 phase=C_full_covt + 63%|██████████████████▉ | 5682/9000 [4:12:17<3:58:53, 4.32s/it] {'loss': '3.089', 'grad_norm': '3.03', 'learning_rate': '1.639e-05', 'epoch': '0.2044'} + 63%|██████████████████▉ | 5682/9000 [4:12:17<3:58:53, 4.32s/it] {'lm_loss': '0.00703', 'visual_loss': '2.352', 'seg_loss': '0.5814', 'dino_loss': '0.8677', 'depth_loss': '0.243', 'vggt_mse_loss': '0.2416', 'vggt_cos_loss': '0.01355', 'pidinet_loss': '0.1495', 'siglip_loss': '0.5101', 'epoch': '0.2044'} + 63%|██████████████████▉ | 5682/9000 [4:12:21<3:58:53, 4.32s/it][Dataset] cur_step=5683 phase=C_full_covt + 63%|██████████████████▉ | 5683/9000 [4:12:21<4:01:02, 4.36s/it][Dataset] cur_step=5683 phase=C_full_covt +[Dataset] cur_step=5683 phase=C_full_covt[Dataset] cur_step=5683 phase=C_full_covt + +[Dataset] cur_step=5683 phase=C_full_covt +[Dataset] cur_step=5683 phase=C_full_covt +[Dataset] cur_step=5683 phase=C_full_covt +[Dataset] cur_step=5683 phase=C_full_covt + {'loss': '3.005', 'grad_norm': '12.75', 'learning_rate': '1.638e-05', 'epoch': '0.2044'} + 63%|██████████████████▉ | 5683/9000 [4:12:21<4:01:02, 4.36s/it] {'lm_loss': '0.8251', 'visual_loss': '2.952', 'seg_loss': '0.7064', 'dino_loss': '0.9236', 'depth_loss': '0.3193', 'vggt_mse_loss': '0.3165', 'vggt_cos_loss': '0.02721', 'pidinet_loss': '0.2884', 'siglip_loss': '0.7144', 'epoch': '0.2044'} + 63%|██████████████████▉ | 5683/9000 [4:12:25<4:01:02, 4.36s/it][Dataset] cur_step=5684 phase=C_full_covt +[Dataset] cur_step=5684 phase=C_full_covt +[Dataset] cur_step=5684 phase=C_full_covt +[Dataset] cur_step=5684 phase=C_full_covt +[Dataset] cur_step=5684 phase=C_full_covt[Dataset] cur_step=5684 phase=C_full_covt + +[Dataset] cur_step=5684 phase=C_full_covt + 63%|██████████████████▉ | 5684/9000 [4:12:27<4:31:24, 4.91s/it][Dataset] cur_step=5684 phase=C_full_covt + {'loss': '3.287', 'grad_norm': '1.71', 'learning_rate': '1.637e-05', 'epoch': '0.2045'} + 63%|██████████████████▉ | 5684/9000 [4:12:27<4:31:24, 4.91s/it] {'lm_loss': '0.1844', 'visual_loss': '2.779', 'seg_loss': '0.8052', 'dino_loss': '0.9028', 'depth_loss': '0.2501', 'vggt_mse_loss': '0.2483', 'vggt_cos_loss': '0.01782', 'pidinet_loss': '0.2468', 'siglip_loss': '0.5737', 'epoch': '0.2045'} + 63%|██████████████████▉ | 5684/9000 [4:12:31<4:31:24, 4.91s/it][Dataset] cur_step=5685 phase=C_full_covt +[Dataset] cur_step=5685 phase=C_full_covt +[Dataset] cur_step=5685 phase=C_full_covt[Dataset] cur_step=5685 phase=C_full_covt[Dataset] cur_step=5685 phase=C_full_covt + + +[Dataset] cur_step=5685 phase=C_full_covt +[Dataset] cur_step=5685 phase=C_full_covt + 63%|██████████████████▉ | 5685/9000 [4:12:31<4:16:59, 4.65s/it][Dataset] cur_step=5685 phase=C_full_covt + {'loss': '3.115', 'grad_norm': '4.434', 'learning_rate': '1.636e-05', 'epoch': '0.2045'} + 63%|██████████████████▉ | 5685/9000 [4:12:31<4:16:59, 4.65s/it] {'lm_loss': '0.003214', 'visual_loss': '2.117', 'seg_loss': '0.568', 'dino_loss': '0.8746', 'depth_loss': '0.2245', 'vggt_mse_loss': '0.2232', 'vggt_cos_loss': '0.01217', 'pidinet_loss': '0.1476', 'siglip_loss': '0.3028', 'epoch': '0.2045'} + 63%|██████████████████▉ | 5685/9000 [4:12:35<4:16:59, 4.65s/it][Dataset] cur_step=5686 phase=C_full_covt +[Dataset] cur_step=5686 phase=C_full_covt +[Dataset] cur_step=5686 phase=C_full_covt[Dataset] cur_step=5686 phase=C_full_covt + +[Dataset] cur_step=5686 phase=C_full_covt + 63%|██████████████████▉ | 5686/9000 [4:12:36<4:06:40, 4.47s/it][Dataset] cur_step=5686 phase=C_full_covt +[Dataset] cur_step=5686 phase=C_full_covt[Dataset] cur_step=5686 phase=C_full_covt + + {'loss': '3.016', 'grad_norm': '2.184', 'learning_rate': '1.635e-05', 'epoch': '0.2046'} + 63%|██████████████████▉ | 5686/9000 [4:12:36<4:06:40, 4.47s/it] {'lm_loss': '0.3026', 'visual_loss': '2.681', 'seg_loss': '0.784', 'dino_loss': '0.9412', 'depth_loss': '0.2572', 'vggt_mse_loss': '0.2554', 'vggt_cos_loss': '0.01893', 'pidinet_loss': '0.2753', 'siglip_loss': '0.4231', 'epoch': '0.2046'} + 63%|██████████████████▉ | 5686/9000 [4:12:39<4:06:40, 4.47s/it][Dataset] cur_step=5687 phase=C_full_covt +[Dataset] cur_step=5687 phase=C_full_covt +[Dataset] cur_step=5687 phase=C_full_covt +[Dataset] cur_step=5687 phase=C_full_covt +[Dataset] cur_step=5687 phase=C_full_covt +[Dataset] cur_step=5687 phase=C_full_covt + 63%|██████████████████▉ | 5687/9000 [4:12:40<3:59:26, 4.34s/it][Dataset] cur_step=5687 phase=C_full_covt +[Dataset] cur_step=5687 phase=C_full_covt + {'loss': '3.169', 'grad_norm': '2.445', 'learning_rate': '1.635e-05', 'epoch': '0.2046'} + 63%|██████████████████▉ | 5687/9000 [4:12:40<3:59:26, 4.34s/it] {'lm_loss': '0.4342', 'visual_loss': '2.816', 'seg_loss': '0.8701', 'dino_loss': '0.9139', 'depth_loss': '0.2826', 'vggt_mse_loss': '0.2806', 'vggt_cos_loss': '0.02035', 'pidinet_loss': '0.24', 'siglip_loss': '0.5091', 'epoch': '0.2046'} + 63%|██████████████████▉ | 5687/9000 [4:12:43<3:59:26, 4.34s/it][Dataset] cur_step=5688 phase=C_full_covt +[Dataset] cur_step=5688 phase=C_full_covt +[Dataset] cur_step=5688 phase=C_full_covt +[Dataset] cur_step=5688 phase=C_full_covt +[Dataset] cur_step=5688 phase=C_full_covt[Dataset] cur_step=5688 phase=C_full_covt + +[Dataset] cur_step=5688 phase=C_full_covt[Dataset] cur_step=5688 phase=C_full_covt + + 63%|██████████████████▉ | 5688/9000 [4:12:44<4:03:06, 4.40s/it] {'loss': '3.157', 'grad_norm': '2.522', 'learning_rate': '1.634e-05', 'epoch': '0.2046'} + 63%|██████████████████▉ | 5688/9000 [4:12:44<4:03:06, 4.40s/it] {'lm_loss': '0.3147', 'visual_loss': '2.618', 'seg_loss': '0.6832', 'dino_loss': '0.9269', 'depth_loss': '0.2212', 'vggt_mse_loss': '0.2196', 'vggt_cos_loss': '0.01617', 'pidinet_loss': '0.2469', 'siglip_loss': '0.5403', 'epoch': '0.2046'} + 63%|██████████████████▉ | 5688/9000 [4:12:48<4:03:06, 4.40s/it][Dataset] cur_step=5689 phase=C_full_covt[Dataset] cur_step=5689 phase=C_full_covt + + 63%|██████████████████▉ | 5689/9000 [4:12:48<4:00:33, 4.36s/it][Dataset] cur_step=5689 phase=C_full_covt +[Dataset] cur_step=5689 phase=C_full_covt +[Dataset] cur_step=5689 phase=C_full_covt[Dataset] cur_step=5689 phase=C_full_covt + +[Dataset] cur_step=5689 phase=C_full_covt +[Dataset] cur_step=5689 phase=C_full_covt + {'loss': '3.123', 'grad_norm': '1.762', 'learning_rate': '1.633e-05', 'epoch': '0.2047'} + 63%|██████████████████▉ | 5689/9000 [4:12:48<4:00:33, 4.36s/it] {'lm_loss': '0.2893', 'visual_loss': '2.401', 'seg_loss': '0.6815', 'dino_loss': '0.9175', 'depth_loss': '0.2116', 'vggt_mse_loss': '0.2105', 'vggt_cos_loss': '0.01152', 'pidinet_loss': '0.1966', 'siglip_loss': '0.3939', 'epoch': '0.2047'} + 63%|██████████████████▉ | 5689/9000 [4:12:52<4:00:33, 4.36s/it][Dataset] cur_step=5690 phase=C_full_covt +[Dataset] cur_step=5690 phase=C_full_covt + 63%|██████████████████▉ | 5690/9000 [4:12:52<3:55:46, 4.27s/it][Dataset] cur_step=5690 phase=C_full_covt +[Dataset] cur_step=5690 phase=C_full_covt[Dataset] cur_step=5690 phase=C_full_covt[Dataset] cur_step=5690 phase=C_full_covt + + +[Dataset] cur_step=5690 phase=C_full_covt +[Dataset] cur_step=5690 phase=C_full_covt + {'loss': '3.065', 'grad_norm': '4.559', 'learning_rate': '1.632e-05', 'epoch': '0.2047'} + 63%|██████████████████▉ | 5690/9000 [4:12:52<3:55:46, 4.27s/it] {'lm_loss': '0.01546', 'visual_loss': '2.757', 'seg_loss': '0.7373', 'dino_loss': '0.9154', 'depth_loss': '0.2777', 'vggt_mse_loss': '0.2754', 'vggt_cos_loss': '0.02286', 'pidinet_loss': '0.2743', 'siglip_loss': '0.5525', 'epoch': '0.2047'} + 63%|██████████████████▉ | 5690/9000 [4:12:55<3:55:46, 4.27s/it][Dataset] cur_step=5691 phase=C_full_covt +[Dataset] cur_step=5691 phase=C_full_covt +[Dataset] cur_step=5691 phase=C_full_covt +[Dataset] cur_step=5691 phase=C_full_covt 63%|██████████████████▉ | 5691/9000 [4:12:57<3:57:27, 4.31s/it] +[Dataset] cur_step=5691 phase=C_full_covt[Dataset] cur_step=5691 phase=C_full_covt + +[Dataset] cur_step=5691 phase=C_full_covt +[Dataset] cur_step=5691 phase=C_full_covt + {'loss': '3.094', 'grad_norm': '1.966', 'learning_rate': '1.631e-05', 'epoch': '0.2047'} + 63%|██████████████████▉ | 5691/9000 [4:12:57<3:57:27, 4.31s/it] {'lm_loss': '0.529', 'visual_loss': '2.779', 'seg_loss': '0.7495', 'dino_loss': '0.9278', 'depth_loss': '0.3397', 'vggt_mse_loss': '0.3371', 'vggt_cos_loss': '0.02616', 'pidinet_loss': '0.218', 'siglip_loss': '0.5439', 'epoch': '0.2047'} + 63%|██████████████████▉ | 5691/9000 [4:13:00<3:57:27, 4.31s/it][Dataset] cur_step=5692 phase=C_full_covt +[Dataset] cur_step=5692 phase=C_full_covt +[Dataset] cur_step=5692 phase=C_full_covt +[Dataset] cur_step=5692 phase=C_full_covt +[Dataset] cur_step=5692 phase=C_full_covt +[Dataset] cur_step=5692 phase=C_full_covt[Dataset] cur_step=5692 phase=C_full_covt 63%|██████████████████▉ | 5692/9000 [4:13:01<3:53:44, 4.24s/it] + +[Dataset] cur_step=5692 phase=C_full_covt + {'loss': '3.181', 'grad_norm': '1.421', 'learning_rate': '1.63e-05', 'epoch': '0.2048'} + 63%|██████████████████▉ | 5692/9000 [4:13:01<3:53:44, 4.24s/it] {'lm_loss': '0.4785', 'visual_loss': '2.364', 'seg_loss': '0.6669', 'dino_loss': '0.9189', 'depth_loss': '0.2325', 'vggt_mse_loss': '0.2312', 'vggt_cos_loss': '0.01292', 'pidinet_loss': '0.2084', 'siglip_loss': '0.3371', 'epoch': '0.2048'} + 63%|██████████████████▉ | 5692/9000 [4:13:04<3:53:44, 4.24s/it][Dataset] cur_step=5693 phase=C_full_covt +[Dataset] cur_step=5693 phase=C_full_covt[Dataset] cur_step=5693 phase=C_full_covt + +[Dataset] cur_step=5693 phase=C_full_covt + 63%|██████████████████▉ | 5693/9000 [4:13:05<3:53:54, 4.24s/it][Dataset] cur_step=5693 phase=C_full_covt +[Dataset] cur_step=5693 phase=C_full_covt[Dataset] cur_step=5693 phase=C_full_covt + +[Dataset] cur_step=5693 phase=C_full_covt + {'loss': '3.194', 'grad_norm': '7.171', 'learning_rate': '1.629e-05', 'epoch': '0.2048'} + 63%|██████████████████▉ | 5693/9000 [4:13:05<3:53:54, 4.24s/it] {'lm_loss': '0.002263', 'visual_loss': '2.815', 'seg_loss': '0.692', 'dino_loss': '0.9339', 'depth_loss': '0.3318', 'vggt_mse_loss': '0.3292', 'vggt_cos_loss': '0.0258', 'pidinet_loss': '0.223', 'siglip_loss': '0.6348', 'epoch': '0.2048'} + 63%|██████████████████▉ | 5693/9000 [4:13:08<3:53:54, 4.24s/it][Dataset] cur_step=5694 phase=C_full_covt +[Dataset] cur_step=5694 phase=C_full_covt +[Dataset] cur_step=5694 phase=C_full_covt +[Dataset] cur_step=5694 phase=C_full_covt +[Dataset] cur_step=5694 phase=C_full_covt 63%|██████████████████▉ | 5694/9000 [4:13:09<3:52:01, 4.21s/it] +[Dataset] cur_step=5694 phase=C_full_covt +[Dataset] cur_step=5694 phase=C_full_covt +[Dataset] cur_step=5694 phase=C_full_covt + {'loss': '3.003', 'grad_norm': '6.562', 'learning_rate': '1.629e-05', 'epoch': '0.2048'} + 63%|██████████████████▉ | 5694/9000 [4:13:09<3:52:01, 4.21s/it] {'lm_loss': '0.3626', 'visual_loss': '2.538', 'seg_loss': '0.6706', 'dino_loss': '0.8839', 'depth_loss': '0.198', 'vggt_mse_loss': '0.1963', 'vggt_cos_loss': '0.01648', 'pidinet_loss': '0.2412', 'siglip_loss': '0.5448', 'epoch': '0.2048'} + 63%|██████████████████▉ | 5694/9000 [4:13:13<3:52:01, 4.21s/it][Dataset] cur_step=5695 phase=C_full_covt +[Dataset] cur_step=5695 phase=C_full_covt[Dataset] cur_step=5695 phase=C_full_covt + +[Dataset] cur_step=5695 phase=C_full_covt + 63%|██████████████████▉ | 5695/9000 [4:13:13<3:48:09, 4.14s/it][Dataset] cur_step=5695 phase=C_full_covt +[Dataset] cur_step=5695 phase=C_full_covt[Dataset] cur_step=5695 phase=C_full_covt +[Dataset] cur_step=5695 phase=C_full_covt + + {'loss': '3.094', 'grad_norm': '3.035', 'learning_rate': '1.628e-05', 'epoch': '0.2049'} + 63%|██████████████████▉ | 5695/9000 [4:13:13<3:48:09, 4.14s/it] {'lm_loss': '0.9762', 'visual_loss': '2.796', 'seg_loss': '0.684', 'dino_loss': '0.8942', 'depth_loss': '0.361', 'vggt_mse_loss': '0.3579', 'vggt_cos_loss': '0.03081', 'pidinet_loss': '0.3048', 'siglip_loss': '0.5521', 'epoch': '0.2049'} + 63%|██████████████████▉ | 5695/9000 [4:13:19<3:48:09, 4.14s/it][Dataset] cur_step=5696 phase=C_full_covt + 63%|██████████████████▉ | 5696/9000 [4:13:19<4:21:26, 4.75s/it][Dataset] cur_step=5696 phase=C_full_covt +[Dataset] cur_step=5696 phase=C_full_covt +[Dataset] cur_step=5696 phase=C_full_covt +[Dataset] cur_step=5696 phase=C_full_covt +[Dataset] cur_step=5696 phase=C_full_covt +[Dataset] cur_step=5696 phase=C_full_covt[Dataset] cur_step=5696 phase=C_full_covt + + {'loss': '3.14', 'grad_norm': '2.534', 'learning_rate': '1.627e-05', 'epoch': '0.2049'} + 63%|██████████████████▉ | 5696/9000 [4:13:19<4:21:26, 4.75s/it] {'lm_loss': '0.2336', 'visual_loss': '2.637', 'seg_loss': '0.7391', 'dino_loss': '0.9068', 'depth_loss': '0.196', 'vggt_mse_loss': '0.1947', 'vggt_cos_loss': '0.01262', 'pidinet_loss': '0.2859', 'siglip_loss': '0.509', 'epoch': '0.2049'} + 63%|██████████████████▉ | 5696/9000 [4:13:23<4:21:26, 4.75s/it][Dataset] cur_step=5697 phase=C_full_covt +[Dataset] cur_step=5697 phase=C_full_covt[Dataset] cur_step=5697 phase=C_full_covt + +[Dataset] cur_step=5697 phase=C_full_covt +[Dataset] cur_step=5697 phase=C_full_covt +[Dataset] cur_step=5697 phase=C_full_covt + 63%|██████████████████▉ | 5697/9000 [4:13:23<4:04:59, 4.45s/it][Dataset] cur_step=5697 phase=C_full_covt +[Dataset] cur_step=5697 phase=C_full_covt + {'loss': '3.048', 'grad_norm': '1.775', 'learning_rate': '1.626e-05', 'epoch': '0.205'} + 63%|██████████████████▉ | 5697/9000 [4:13:23<4:04:59, 4.45s/it] {'lm_loss': '0.02941', 'visual_loss': '2.529', 'seg_loss': '0.6045', 'dino_loss': '0.9138', 'depth_loss': '0.2411', 'vggt_mse_loss': '0.2395', 'vggt_cos_loss': '0.01629', 'pidinet_loss': '0.1892', 'siglip_loss': '0.58', 'epoch': '0.205'} + 63%|██████████████████▉ | 5697/9000 [4:13:27<4:04:59, 4.45s/it][Dataset] cur_step=5698 phase=C_full_covt +[Dataset] cur_step=5698 phase=C_full_covt +[Dataset] cur_step=5698 phase=C_full_covt +[Dataset] cur_step=5698 phase=C_full_covt +[Dataset] cur_step=5698 phase=C_full_covt[Dataset] cur_step=5698 phase=C_full_covt[Dataset] cur_step=5698 phase=C_full_covt + + + 63%|██████████████████▉ | 5698/9000 [4:13:27<3:59:46, 4.36s/it][Dataset] cur_step=5698 phase=C_full_covt + {'loss': '3.042', 'grad_norm': '1.834', 'learning_rate': '1.625e-05', 'epoch': '0.205'} + 63%|██████████████████▉ | 5698/9000 [4:13:27<3:59:46, 4.36s/it] {'lm_loss': '0.0007386', 'visual_loss': '2.31', 'seg_loss': '0.6346', 'dino_loss': '0.8828', 'depth_loss': '0.2185', 'vggt_mse_loss': '0.217', 'vggt_cos_loss': '0.015', 'pidinet_loss': '0.1899', 'siglip_loss': '0.384', 'epoch': '0.205'} + 63%|██████████████████▉ | 5698/9000 [4:13:31<3:59:46, 4.36s/it][Dataset] cur_step=5699 phase=C_full_covt +[Dataset] cur_step=5699 phase=C_full_covt[Dataset] cur_step=5699 phase=C_full_covt + +[Dataset] cur_step=5699 phase=C_full_covt[Dataset] cur_step=5699 phase=C_full_covt + +[Dataset] cur_step=5699 phase=C_full_covt 63%|██████████████████▉ | 5699/9000 [4:13:32<3:56:49, 4.30s/it] +[Dataset] cur_step=5699 phase=C_full_covt +[Dataset] cur_step=5699 phase=C_full_covt + {'loss': '3.043', 'grad_norm': '1.765', 'learning_rate': '1.624e-05', 'epoch': '0.205'} + 63%|██████████████████▉ | 5699/9000 [4:13:32<3:56:49, 4.30s/it] {'lm_loss': '0.567', 'visual_loss': '2.693', 'seg_loss': '0.8323', 'dino_loss': '0.9071', 'depth_loss': '0.2085', 'vggt_mse_loss': '0.2069', 'vggt_cos_loss': '0.01613', 'pidinet_loss': '0.251', 'siglip_loss': '0.4942', 'epoch': '0.205'} + 63%|██████████████████▉ | 5699/9000 [4:13:34<3:56:49, 4.30s/it][Dataset] cur_step=5700 phase=C_full_covt +[Dataset] cur_step=5700 phase=C_full_covt +[Dataset] cur_step=5700 phase=C_full_covt[Dataset] cur_step=5700 phase=C_full_covt + +[Dataset] cur_step=5700 phase=C_full_covt +[Dataset] cur_step=5700 phase=C_full_covt +[Dataset] cur_step=5700 phase=C_full_covt +[Dataset] cur_step=5700 phase=C_full_covt + 63%|███████████████████ | 5700/9000 [4:13:36<3:53:33, 4.25s/it] {'loss': '3.183', 'grad_norm': '2.081', 'learning_rate': '1.623e-05', 'epoch': '0.2051'} + 63%|███████████████████ | 5700/9000 [4:13:36<3:53:33, 4.25s/it] {'lm_loss': '1.064', 'visual_loss': '2.863', 'seg_loss': '0.7974', 'dino_loss': '0.8915', 'depth_loss': '0.2982', 'vggt_mse_loss': '0.2959', 'vggt_cos_loss': '0.02243', 'pidinet_loss': '0.2575', 'siglip_loss': '0.6189', 'epoch': '0.2051'} + 63%|███████████████████ | 5700/9000 [4:13:39<3:53:33, 4.25s/it][Dataset] cur_step=5701 phase=C_full_covt +[Dataset] cur_step=5701 phase=C_full_covt[Dataset] cur_step=5701 phase=C_full_covt +[Dataset] cur_step=5701 phase=C_full_covt + + 63%|███████████████████ | 5701/9000 [4:13:39<3:42:52, 4.05s/it][Dataset] cur_step=5701 phase=C_full_covt +[Dataset] cur_step=5701 phase=C_full_covt[Dataset] cur_step=5701 phase=C_full_covt + +[Dataset] cur_step=5701 phase=C_full_covt + {'loss': '3.219', 'grad_norm': '2.211', 'learning_rate': '1.623e-05', 'epoch': '0.2051'} + 63%|███████████████████ | 5701/9000 [4:13:39<3:42:52, 4.05s/it] {'lm_loss': '0.03875', 'visual_loss': '2.618', 'seg_loss': '0.7608', 'dino_loss': '0.9276', 'depth_loss': '0.2539', 'vggt_mse_loss': '0.252', 'vggt_cos_loss': '0.01944', 'pidinet_loss': '0.228', 'siglip_loss': '0.4477', 'epoch': '0.2051'} + 63%|███████████████████ | 5701/9000 [4:13:42<3:42:52, 4.05s/it][Dataset] cur_step=5702 phase=C_full_covt +[Dataset] cur_step=5702 phase=C_full_covt +[Dataset] cur_step=5702 phase=C_full_covt[Dataset] cur_step=5702 phase=C_full_covt[Dataset] cur_step=5702 phase=C_full_covt + + +[Dataset] cur_step=5702 phase=C_full_covt + 63%|███████████████████ | 5702/9000 [4:13:43<3:40:45, 4.02s/it][Dataset] cur_step=5702 phase=C_full_covt +[Dataset] cur_step=5702 phase=C_full_covt + {'loss': '3.039', 'grad_norm': '1.83', 'learning_rate': '1.622e-05', 'epoch': '0.2051'} + 63%|███████████████████ | 5702/9000 [4:13:43<3:40:45, 4.02s/it] {'lm_loss': '0.5587', 'visual_loss': '2.456', 'seg_loss': '0.7723', 'dino_loss': '0.9076', 'depth_loss': '0.2113', 'vggt_mse_loss': '0.2099', 'vggt_cos_loss': '0.01432', 'pidinet_loss': '0.1493', 'siglip_loss': '0.416', 'epoch': '0.2051'} + 63%|███████████████████ | 5702/9000 [4:13:46<3:40:45, 4.02s/it][Dataset] cur_step=5703 phase=C_full_covt +[Dataset] cur_step=5703 phase=C_full_covt +[Dataset] cur_step=5703 phase=C_full_covt +[Dataset] cur_step=5703 phase=C_full_covt[Dataset] cur_step=5703 phase=C_full_covt[Dataset] cur_step=5703 phase=C_full_covt + +[Dataset] cur_step=5703 phase=C_full_covt +[Dataset] cur_step=5703 phase=C_full_covt + + 63%|███████████████████ | 5703/9000 [4:13:47<3:44:07, 4.08s/it] {'loss': '2.993', 'grad_norm': '1.924', 'learning_rate': '1.621e-05', 'epoch': '0.2052'} + 63%|███████████████████ | 5703/9000 [4:13:47<3:44:07, 4.08s/it] {'lm_loss': '0.001944', 'visual_loss': '2.695', 'seg_loss': '0.6928', 'dino_loss': '0.9245', 'depth_loss': '0.1944', 'vggt_mse_loss': '0.1929', 'vggt_cos_loss': '0.01445', 'pidinet_loss': '0.2471', 'siglip_loss': '0.6359', 'epoch': '0.2052'} + 63%|███████████████████ | 5703/9000 [4:13:50<3:44:07, 4.08s/it][Dataset] cur_step=5704 phase=C_full_covt +[Dataset] cur_step=5704 phase=C_full_covt +[Dataset] cur_step=5704 phase=C_full_covt +[Dataset] cur_step=5704 phase=C_full_covt +[Dataset] cur_step=5704 phase=C_full_covt +[Dataset] cur_step=5704 phase=C_full_covt +[Dataset] cur_step=5704 phase=C_full_covt + 63%|███████████████████ | 5704/9000 [4:13:52<3:46:31, 4.12s/it][Dataset] cur_step=5704 phase=C_full_covt + {'loss': '3.224', 'grad_norm': '2.763', 'learning_rate': '1.62e-05', 'epoch': '0.2052'} + 63%|███████████████████ | 5704/9000 [4:13:52<3:46:31, 4.12s/it] {'lm_loss': '0.009005', 'visual_loss': '2.523', 'seg_loss': '0.7958', 'dino_loss': '0.897', 'depth_loss': '0.1998', 'vggt_mse_loss': '0.1984', 'vggt_cos_loss': '0.01446', 'pidinet_loss': '0.2143', 'siglip_loss': '0.4162', 'epoch': '0.2052'} + 63%|███████████████████ | 5704/9000 [4:13:55<3:46:31, 4.12s/it][Dataset] cur_step=5705 phase=C_full_covt +[Dataset] cur_step=5705 phase=C_full_covt +[Dataset] cur_step=5705 phase=C_full_covt[Dataset] cur_step=5705 phase=C_full_covt[Dataset] cur_step=5705 phase=C_full_covt[Dataset] cur_step=5705 phase=C_full_covt + + + +[Dataset] cur_step=5705 phase=C_full_covt + 63%|███████████████████ | 5705/9000 [4:13:55<3:42:06, 4.04s/it][Dataset] cur_step=5705 phase=C_full_covt + {'loss': '2.879', 'grad_norm': '2.195', 'learning_rate': '1.619e-05', 'epoch': '0.2052'} + 63%|███████████████████ | 5705/9000 [4:13:55<3:42:06, 4.04s/it] {'lm_loss': '0.001955', 'visual_loss': '2.698', 'seg_loss': '0.7056', 'dino_loss': '0.9212', 'depth_loss': '0.2542', 'vggt_mse_loss': '0.2519', 'vggt_cos_loss': '0.02224', 'pidinet_loss': '0.2576', 'siglip_loss': '0.5595', 'epoch': '0.2052'} + 63%|███████████████████ | 5705/9000 [4:13:58<3:42:06, 4.04s/it][Dataset] cur_step=5706 phase=C_full_covt +[Dataset] cur_step=5706 phase=C_full_covt[Dataset] cur_step=5706 phase=C_full_covt + +[Dataset] cur_step=5706 phase=C_full_covt +[Dataset] cur_step=5706 phase=C_full_covt +[Dataset] cur_step=5706 phase=C_full_covt[Dataset] cur_step=5706 phase=C_full_covt + +[Dataset] cur_step=5706 phase=C_full_covt + 63%|███████████████████ | 5706/9000 [4:13:59<3:41:17, 4.03s/it] {'loss': '3.049', 'grad_norm': '2.411', 'learning_rate': '1.618e-05', 'epoch': '0.2053'} + 63%|███████████████████ | 5706/9000 [4:13:59<3:41:17, 4.03s/it] {'lm_loss': '0.9376', 'visual_loss': '2.43', 'seg_loss': '0.5281', 'dino_loss': '0.899', 'depth_loss': '0.302', 'vggt_mse_loss': '0.3', 'vggt_cos_loss': '0.02019', 'pidinet_loss': '0.169', 'siglip_loss': '0.5319', 'epoch': '0.2053'} + 63%|███████████████████ | 5706/9000 [4:14:04<3:41:17, 4.03s/it][Dataset] cur_step=5707 phase=C_full_covt +[Dataset] cur_step=5707 phase=C_full_covt +[Dataset] cur_step=5707 phase=C_full_covt + 63%|███████████████████ | 5707/9000 [4:14:05<3:59:13, 4.36s/it][Dataset] cur_step=5707 phase=C_full_covt +[Dataset] cur_step=5707 phase=C_full_covt +[Dataset] cur_step=5707 phase=C_full_covt +[Dataset] cur_step=5707 phase=C_full_covt +[Dataset] cur_step=5707 phase=C_full_covt + {'loss': '3.08', 'grad_norm': '3.783', 'learning_rate': '1.617e-05', 'epoch': '0.2053'} + 63%|███████████████████ | 5707/9000 [4:14:05<3:59:13, 4.36s/it] {'lm_loss': '0.09886', 'visual_loss': '2.64', 'seg_loss': '0.7645', 'dino_loss': '0.9184', 'depth_loss': '0.2429', 'vggt_mse_loss': '0.2413', 'vggt_cos_loss': '0.01653', 'pidinet_loss': '0.1936', 'siglip_loss': '0.5209', 'epoch': '0.2053'} + 63%|███████████████████ | 5707/9000 [4:14:08<3:59:13, 4.36s/it][Dataset] cur_step=5708 phase=C_full_covt +[Dataset] cur_step=5708 phase=C_full_covt +[Dataset] cur_step=5708 phase=C_full_covt +[Dataset] cur_step=5708 phase=C_full_covt +[Dataset] cur_step=5708 phase=C_full_covt +[Dataset] cur_step=5708 phase=C_full_covt +[Dataset] cur_step=5708 phase=C_full_covt +[Dataset] cur_step=5708 phase=C_full_covt + 63%|███████████████████ | 5708/9000 [4:14:09<4:00:20, 4.38s/it] {'loss': '3.039', 'grad_norm': '2.887', 'learning_rate': '1.617e-05', 'epoch': '0.2053'} + 63%|███████████████████ | 5708/9000 [4:14:09<4:00:20, 4.38s/it] {'lm_loss': '0.3812', 'visual_loss': '2.836', 'seg_loss': '0.6965', 'dino_loss': '0.9092', 'depth_loss': '0.397', 'vggt_mse_loss': '0.3937', 'vggt_cos_loss': '0.03294', 'pidinet_loss': '0.2614', 'siglip_loss': '0.5724', 'epoch': '0.2053'} + 63%|███████████████████ | 5708/9000 [4:14:13<4:00:20, 4.38s/it][Dataset] cur_step=5709 phase=C_full_covt +[Dataset] cur_step=5709 phase=C_full_covt +[Dataset] cur_step=5709 phase=C_full_covt 63%|███████████████████ | 5709/9000 [4:14:13<3:51:56, 4.23s/it] +[Dataset] cur_step=5709 phase=C_full_covt +[Dataset] cur_step=5709 phase=C_full_covt +[Dataset] cur_step=5709 phase=C_full_covt +[Dataset] cur_step=5709 phase=C_full_covt +[Dataset] cur_step=5709 phase=C_full_covt + {'loss': '3.081', 'grad_norm': '1.955', 'learning_rate': '1.616e-05', 'epoch': '0.2054'} + 63%|███████████████████ | 5709/9000 [4:14:13<3:51:56, 4.23s/it] {'lm_loss': '0.006098', 'visual_loss': '2.504', 'seg_loss': '0.6086', 'dino_loss': '0.8762', 'depth_loss': '0.1904', 'vggt_mse_loss': '0.1891', 'vggt_cos_loss': '0.01312', 'pidinet_loss': '0.2842', 'siglip_loss': '0.5447', 'epoch': '0.2054'} + 63%|███████████████████ | 5709/9000 [4:14:16<3:51:56, 4.23s/it][Dataset] cur_step=5710 phase=C_full_covt[Dataset] cur_step=5710 phase=C_full_covt + +[Dataset] cur_step=5710 phase=C_full_covt[Dataset] cur_step=5710 phase=C_full_covt + +[Dataset] cur_step=5710 phase=C_full_covt 63%|███████████████████ | 5710/9000 [4:14:17<3:45:53, 4.12s/it] +[Dataset] cur_step=5710 phase=C_full_covt +[Dataset] cur_step=5710 phase=C_full_covt +[Dataset] cur_step=5710 phase=C_full_covt + {'loss': '3.011', 'grad_norm': '1.727', 'learning_rate': '1.615e-05', 'epoch': '0.2054'} + 63%|███████████████████ | 5710/9000 [4:14:17<3:45:53, 4.12s/it] {'lm_loss': '0.8897', 'visual_loss': '2.475', 'seg_loss': '0.5969', 'dino_loss': '0.9046', 'depth_loss': '0.2418', 'vggt_mse_loss': '0.2399', 'vggt_cos_loss': '0.01944', 'pidinet_loss': '0.2203', 'siglip_loss': '0.5111', 'epoch': '0.2054'} + 63%|███████████████████ | 5710/9000 [4:14:20<3:45:53, 4.12s/it][Dataset] cur_step=5711 phase=C_full_covt[Dataset] cur_step=5711 phase=C_full_covt + +[Dataset] cur_step=5711 phase=C_full_covt +[Dataset] cur_step=5711 phase=C_full_covt +[Dataset] cur_step=5711 phase=C_full_covt + 63%|███████████████████ | 5711/9000 [4:14:20<3:39:03, 4.00s/it][Dataset] cur_step=5711 phase=C_full_covt +[Dataset] cur_step=5711 phase=C_full_covt +[Dataset] cur_step=5711 phase=C_full_covt + {'loss': '3.288', 'grad_norm': '2.518', 'learning_rate': '1.614e-05', 'epoch': '0.2055'} + 63%|███████████████████ | 5711/9000 [4:14:20<3:39:03, 4.00s/it] {'lm_loss': '0.7531', 'visual_loss': '2.757', 'seg_loss': '0.8313', 'dino_loss': '0.8907', 'depth_loss': '0.2733', 'vggt_mse_loss': '0.2713', 'vggt_cos_loss': '0.0204', 'pidinet_loss': '0.2574', 'siglip_loss': '0.5045', 'epoch': '0.2055'} + 63%|███████████████████ | 5711/9000 [4:14:24<3:39:03, 4.00s/it][Dataset] cur_step=5712 phase=C_full_covt +[Dataset] cur_step=5712 phase=C_full_covt +[Dataset] cur_step=5712 phase=C_full_covt[Dataset] cur_step=5712 phase=C_full_covt + +[Dataset] cur_step=5712 phase=C_full_covt +[Dataset] cur_step=5712 phase=C_full_covt[Dataset] cur_step=5712 phase=C_full_covt + + 63%|███████████████████ | 5712/9000 [4:14:24<3:36:42, 3.95s/it][Dataset] cur_step=5712 phase=C_full_covt + {'loss': '3.152', 'grad_norm': '30.72', 'learning_rate': '1.613e-05', 'epoch': '0.2055'} + 63%|███████████████████ | 5712/9000 [4:14:24<3:36:42, 3.95s/it] {'lm_loss': '0.9144', 'visual_loss': '2.807', 'seg_loss': '0.7591', 'dino_loss': '0.9273', 'depth_loss': '0.2105', 'vggt_mse_loss': '0.2089', 'vggt_cos_loss': '0.01576', 'pidinet_loss': '0.219', 'siglip_loss': '0.6916', 'epoch': '0.2055'} + 63%|███████████████████ | 5712/9000 [4:14:28<3:36:42, 3.95s/it][Dataset] cur_step=5713 phase=C_full_covt +[Dataset] cur_step=5713 phase=C_full_covt +[Dataset] cur_step=5713 phase=C_full_covt[Dataset] cur_step=5713 phase=C_full_covt + +[Dataset] cur_step=5713 phase=C_full_covt +[Dataset] cur_step=5713 phase=C_full_covt +[Dataset] cur_step=5713 phase=C_full_covt + 63%|███████████████████ | 5713/9000 [4:14:28<3:37:21, 3.97s/it][Dataset] cur_step=5713 phase=C_full_covt + {'loss': '3.023', 'grad_norm': '1.687', 'learning_rate': '1.612e-05', 'epoch': '0.2055'} + 63%|███████████████████ | 5713/9000 [4:14:28<3:37:21, 3.97s/it] {'lm_loss': '0.3775', 'visual_loss': '2.439', 'seg_loss': '0.6901', 'dino_loss': '0.8887', 'depth_loss': '0.1874', 'vggt_mse_loss': '0.1862', 'vggt_cos_loss': '0.01163', 'pidinet_loss': '0.2109', 'siglip_loss': '0.4616', 'epoch': '0.2055'} + 63%|███████████████████ | 5713/9000 [4:14:32<3:37:21, 3.97s/it][Dataset] cur_step=5714 phase=C_full_covt +[Dataset] cur_step=5714 phase=C_full_covt +[Dataset] cur_step=5714 phase=C_full_covt +[Dataset] cur_step=5714 phase=C_full_covt +[Dataset] cur_step=5714 phase=C_full_covt +[Dataset] cur_step=5714 phase=C_full_covt +[Dataset] cur_step=5714 phase=C_full_covt + 63%|███████████████████ | 5714/9000 [4:14:33<3:42:55, 4.07s/it][Dataset] cur_step=5714 phase=C_full_covt + {'loss': '3.036', 'grad_norm': '1.802', 'learning_rate': '1.611e-05', 'epoch': '0.2056'} + 63%|███████████████████ | 5714/9000 [4:14:33<3:42:55, 4.07s/it] {'lm_loss': '0.007075', 'visual_loss': '2.712', 'seg_loss': '0.7343', 'dino_loss': '0.943', 'depth_loss': '0.2224', 'vggt_mse_loss': '0.221', 'vggt_cos_loss': '0.01438', 'pidinet_loss': '0.1786', 'siglip_loss': '0.6334', 'epoch': '0.2056'} + 63%|███████████████████ | 5714/9000 [4:14:36<3:42:55, 4.07s/it][Dataset] cur_step=5715 phase=C_full_covt +[Dataset] cur_step=5715 phase=C_full_covt +[Dataset] cur_step=5715 phase=C_full_covt[Dataset] cur_step=5715 phase=C_full_covt + +[Dataset] cur_step=5715 phase=C_full_covt +[Dataset] cur_step=5715 phase=C_full_covt +[Dataset] cur_step=5715 phase=C_full_covt[Dataset] cur_step=5715 phase=C_full_covt + + 64%|███████████████████ | 5715/9000 [4:14:37<3:40:55, 4.04s/it] {'loss': '3.194', 'grad_norm': '2.193', 'learning_rate': '1.611e-05', 'epoch': '0.2056'} + 64%|███████████████████ | 5715/9000 [4:14:37<3:40:55, 4.04s/it] {'lm_loss': '0.2608', 'visual_loss': '2.418', 'seg_loss': '0.6488', 'dino_loss': '0.891', 'depth_loss': '0.1965', 'vggt_mse_loss': '0.1954', 'vggt_cos_loss': '0.01112', 'pidinet_loss': '0.1723', 'siglip_loss': '0.5091', 'epoch': '0.2056'} + 64%|███████████████████ | 5715/9000 [4:14:40<3:40:55, 4.04s/it][Dataset] cur_step=5716 phase=C_full_covt +[Dataset] cur_step=5716 phase=C_full_covt +[Dataset] cur_step=5716 phase=C_full_covt +[Dataset] cur_step=5716 phase=C_full_covt[Dataset] cur_step=5716 phase=C_full_covt[Dataset] cur_step=5716 phase=C_full_covt +[Dataset] cur_step=5716 phase=C_full_covt + + + 64%|███████████████████ | 5716/9000 [4:14:41<3:43:43, 4.09s/it][Dataset] cur_step=5716 phase=C_full_covt + {'loss': '3.017', 'grad_norm': '3.455', 'learning_rate': '1.61e-05', 'epoch': '0.2056'} + 64%|███████████████████ | 5716/9000 [4:14:41<3:43:43, 4.09s/it] {'lm_loss': '0.79', 'visual_loss': '2.845', 'seg_loss': '0.8653', 'dino_loss': '0.904', 'depth_loss': '0.2899', 'vggt_mse_loss': '0.2877', 'vggt_cos_loss': '0.02154', 'pidinet_loss': '0.2654', 'siglip_loss': '0.5207', 'epoch': '0.2056'} + 64%|███████████████████ | 5716/9000 [4:14:44<3:43:43, 4.09s/it][Dataset] cur_step=5717 phase=C_full_covt +[Dataset] cur_step=5717 phase=C_full_covt +[Dataset] cur_step=5717 phase=C_full_covt +[Dataset] cur_step=5717 phase=C_full_covt +[Dataset] cur_step=5717 phase=C_full_covt[Dataset] cur_step=5717 phase=C_full_covt + +[Dataset] cur_step=5717 phase=C_full_covt + 64%|███████████████████ | 5717/9000 [4:14:47<4:18:19, 4.72s/it][Dataset] cur_step=5717 phase=C_full_covt + {'loss': '3.485', 'grad_norm': '8.784', 'learning_rate': '1.609e-05', 'epoch': '0.2057'} + 64%|███████████████████ | 5717/9000 [4:14:47<4:18:19, 4.72s/it] {'lm_loss': '0.5592', 'visual_loss': '2.528', 'seg_loss': '0.7032', 'dino_loss': '0.9076', 'depth_loss': '0.2513', 'vggt_mse_loss': '0.2495', 'vggt_cos_loss': '0.01751', 'pidinet_loss': '0.2199', 'siglip_loss': '0.4458', 'epoch': '0.2057'} + 64%|███████████████████ | 5717/9000 [4:14:50<4:18:19, 4.72s/it][Dataset] cur_step=5718 phase=C_full_covt +[Dataset] cur_step=5718 phase=C_full_covt +[Dataset] cur_step=5718 phase=C_full_covt[Dataset] cur_step=5718 phase=C_full_covt + +[Dataset] cur_step=5718 phase=C_full_covt[Dataset] cur_step=5718 phase=C_full_covt + +[Dataset] cur_step=5718 phase=C_full_covt + 64%|███████████████████ | 5718/9000 [4:14:51<4:03:43, 4.46s/it][Dataset] cur_step=5718 phase=C_full_covt + {'loss': '3.158', 'grad_norm': '1.522', 'learning_rate': '1.608e-05', 'epoch': '0.2057'} + 64%|███████████████████ | 5718/9000 [4:14:51<4:03:43, 4.46s/it] {'lm_loss': '0.6332', 'visual_loss': '2.506', 'seg_loss': '0.6912', 'dino_loss': '0.8939', 'depth_loss': '0.2056', 'vggt_mse_loss': '0.2042', 'vggt_cos_loss': '0.01405', 'pidinet_loss': '0.2002', 'siglip_loss': '0.5148', 'epoch': '0.2057'} + 64%|███████████████████ | 5718/9000 [4:14:54<4:03:43, 4.46s/it][Dataset] cur_step=5719 phase=C_full_covt +[Dataset] cur_step=5719 phase=C_full_covt[Dataset] cur_step=5719 phase=C_full_covt + +[Dataset] cur_step=5719 phase=C_full_covt +[Dataset] cur_step=5719 phase=C_full_covt +[Dataset] cur_step=5719 phase=C_full_covt +[Dataset] cur_step=5719 phase=C_full_covt +[Dataset] cur_step=5719 phase=C_full_covt + 64%|███████████████████ | 5719/9000 [4:14:55<3:55:28, 4.31s/it] {'loss': '3.024', 'grad_norm': '5.054', 'learning_rate': '1.607e-05', 'epoch': '0.2057'} + 64%|███████████████████ | 5719/9000 [4:14:55<3:55:28, 4.31s/it] {'lm_loss': '0.1227', 'visual_loss': '2.715', 'seg_loss': '0.5786', 'dino_loss': '0.91', 'depth_loss': '0.4365', 'vggt_mse_loss': '0.4327', 'vggt_cos_loss': '0.0378', 'pidinet_loss': '0.2775', 'siglip_loss': '0.5127', 'epoch': '0.2057'} + 64%|███████████████████ | 5719/9000 [4:14:58<3:55:28, 4.31s/it][Dataset] cur_step=5720 phase=C_full_covt +[Dataset] cur_step=5720 phase=C_full_covt +[Dataset] cur_step=5720 phase=C_full_covt[Dataset] cur_step=5720 phase=C_full_covt + +[Dataset] cur_step=5720 phase=C_full_covt +[Dataset] cur_step=5720 phase=C_full_covt + 64%|███████████████████ | 5720/9000 [4:14:59<3:50:29, 4.22s/it][Dataset] cur_step=5720 phase=C_full_covt +[Dataset] cur_step=5720 phase=C_full_covt + {'loss': '2.931', 'grad_norm': '2.382', 'learning_rate': '1.606e-05', 'epoch': '0.2058'} + 64%|███████████████████ | 5720/9000 [4:14:59<3:50:29, 4.22s/it] {'lm_loss': '0.8769', 'visual_loss': '2.63', 'seg_loss': '0.583', 'dino_loss': '0.9138', 'depth_loss': '0.4607', 'vggt_mse_loss': '0.4578', 'vggt_cos_loss': '0.02887', 'pidinet_loss': '0.1765', 'siglip_loss': '0.4964', 'epoch': '0.2058'} + 64%|███████████████████ | 5720/9000 [4:15:02<3:50:29, 4.22s/it][Dataset] cur_step=5721 phase=C_full_covt +[Dataset] cur_step=5721 phase=C_full_covt +[Dataset] cur_step=5721 phase=C_full_covt +[Dataset] cur_step=5721 phase=C_full_covt +[Dataset] cur_step=5721 phase=C_full_covt[Dataset] cur_step=5721 phase=C_full_covt + +[Dataset] cur_step=5721 phase=C_full_covt + 64%|███████████████████ | 5721/9000 [4:15:03<3:49:03, 4.19s/it][Dataset] cur_step=5721 phase=C_full_covt + {'loss': '3.068', 'grad_norm': '2.009', 'learning_rate': '1.605e-05', 'epoch': '0.2058'} + 64%|███████████████████ | 5721/9000 [4:15:03<3:49:03, 4.19s/it] {'lm_loss': '0.2144', 'visual_loss': '2.599', 'seg_loss': '0.6355', 'dino_loss': '0.9411', 'depth_loss': '0.2709', 'vggt_mse_loss': '0.2686', 'vggt_cos_loss': '0.02323', 'pidinet_loss': '0.2257', 'siglip_loss': '0.5261', 'epoch': '0.2058'} + 64%|███████████████████ | 5721/9000 [4:15:06<3:49:03, 4.19s/it][Dataset] cur_step=5722 phase=C_full_covt +[Dataset] cur_step=5722 phase=C_full_covt[Dataset] cur_step=5722 phase=C_full_covt + +[Dataset] cur_step=5722 phase=C_full_covt +[Dataset] cur_step=5722 phase=C_full_covt[Dataset] cur_step=5722 phase=C_full_covt + +[Dataset] cur_step=5722 phase=C_full_covt + 64%|███████████████████ | 5722/9000 [4:15:07<3:49:11, 4.20s/it][Dataset] cur_step=5722 phase=C_full_covt + {'loss': '2.931', 'grad_norm': '20.33', 'learning_rate': '1.605e-05', 'epoch': '0.2058'} + 64%|███████████████████ | 5722/9000 [4:15:07<3:49:11, 4.20s/it] {'lm_loss': '0.3943', 'visual_loss': '2.301', 'seg_loss': '0.6306', 'dino_loss': '0.8826', 'depth_loss': '0.2077', 'vggt_mse_loss': '0.2067', 'vggt_cos_loss': '0.01072', 'pidinet_loss': '0.1615', 'siglip_loss': '0.4186', 'epoch': '0.2058'} + 64%|███████████████████ | 5722/9000 [4:15:11<3:49:11, 4.20s/it][Dataset] cur_step=5723 phase=C_full_covt[Dataset] cur_step=5723 phase=C_full_covt + +[Dataset] cur_step=5723 phase=C_full_covt[Dataset] cur_step=5723 phase=C_full_covt + 64%|███████████████████ | 5723/9000 [4:15:11<3:43:20, 4.09s/it] +[Dataset] cur_step=5723 phase=C_full_covt +[Dataset] cur_step=5723 phase=C_full_covt +[Dataset] cur_step=5723 phase=C_full_covt +[Dataset] cur_step=5723 phase=C_full_covt + {'loss': '3.265', 'grad_norm': '1.804', 'learning_rate': '1.604e-05', 'epoch': '0.2059'} + 64%|███████████████████ | 5723/9000 [4:15:11<3:43:20, 4.09s/it] {'lm_loss': '0.4944', 'visual_loss': '2.577', 'seg_loss': '0.7575', 'dino_loss': '0.9131', 'depth_loss': '0.2384', 'vggt_mse_loss': '0.2367', 'vggt_cos_loss': '0.01649', 'pidinet_loss': '0.2352', 'siglip_loss': '0.4324', 'epoch': '0.2059'} + 64%|███████████████████ | 5723/9000 [4:15:14<3:43:20, 4.09s/it][Dataset] cur_step=5724 phase=C_full_covt +[Dataset] cur_step=5724 phase=C_full_covt +[Dataset] cur_step=5724 phase=C_full_covt +[Dataset] cur_step=5724 phase=C_full_covt +[Dataset] cur_step=5724 phase=C_full_covt +[Dataset] cur_step=5724 phase=C_full_covt + 64%|███████████████████ | 5724/9000 [4:15:16<3:50:28, 4.22s/it][Dataset] cur_step=5724 phase=C_full_covt +[Dataset] cur_step=5724 phase=C_full_covt + {'loss': '2.999', 'grad_norm': '1.628', 'learning_rate': '1.603e-05', 'epoch': '0.2059'} + 64%|███████████████████ | 5724/9000 [4:15:16<3:50:28, 4.22s/it] {'lm_loss': '0.4339', 'visual_loss': '2.652', 'seg_loss': '0.5936', 'dino_loss': '0.9229', 'depth_loss': '0.2258', 'vggt_mse_loss': '0.2239', 'vggt_cos_loss': '0.01878', 'pidinet_loss': '0.1673', 'siglip_loss': '0.7421', 'epoch': '0.2059'} + 64%|███████████████████ | 5724/9000 [4:15:19<3:50:28, 4.22s/it][Dataset] cur_step=5725 phase=C_full_covt[Dataset] cur_step=5725 phase=C_full_covt + +[Dataset] cur_step=5725 phase=C_full_covt +[Dataset] cur_step=5725 phase=C_full_covt +[Dataset] cur_step=5725 phase=C_full_covt +[Dataset] cur_step=5725 phase=C_full_covt[Dataset] cur_step=5725 phase=C_full_covt + +[Dataset] cur_step=5725 phase=C_full_covt + 64%|███████████████████ | 5725/9000 [4:15:20<3:51:32, 4.24s/it] {'loss': '3.209', 'grad_norm': '2.636', 'learning_rate': '1.602e-05', 'epoch': '0.206'} + 64%|███████████████████ | 5725/9000 [4:15:20<3:51:32, 4.24s/it] {'lm_loss': '0.4049', 'visual_loss': '2.623', 'seg_loss': '0.7292', 'dino_loss': '0.9336', 'depth_loss': '0.2589', 'vggt_mse_loss': '0.2569', 'vggt_cos_loss': '0.01972', 'pidinet_loss': '0.2033', 'siglip_loss': '0.4983', 'epoch': '0.206'} + 64%|███████████████████ | 5725/9000 [4:15:23<3:51:32, 4.24s/it][Dataset] cur_step=5726 phase=C_full_covt +[Dataset] cur_step=5726 phase=C_full_covt[Dataset] cur_step=5726 phase=C_full_covt +[Dataset] cur_step=5726 phase=C_full_covt + + 64%|███████████████████ | 5726/9000 [4:15:24<3:53:19, 4.28s/it][Dataset] cur_step=5726 phase=C_full_covt +[Dataset] cur_step=5726 phase=C_full_covt +[Dataset] cur_step=5726 phase=C_full_covt +[Dataset] cur_step=5726 phase=C_full_covt + {'loss': '2.871', 'grad_norm': '1.482', 'learning_rate': '1.601e-05', 'epoch': '0.206'} + 64%|███████████████████ | 5726/9000 [4:15:24<3:53:19, 4.28s/it] {'lm_loss': '0.6038', 'visual_loss': '2.694', 'seg_loss': '0.7142', 'dino_loss': '0.9035', 'depth_loss': '0.303', 'vggt_mse_loss': '0.3006', 'vggt_cos_loss': '0.02362', 'pidinet_loss': '0.2445', 'siglip_loss': '0.5287', 'epoch': '0.206'} + 64%|███████████████████ | 5726/9000 [4:15:27<3:53:19, 4.28s/it][Dataset] cur_step=5727 phase=C_full_covt +[Dataset] cur_step=5727 phase=C_full_covt +[Dataset] cur_step=5727 phase=C_full_covt +[Dataset] cur_step=5727 phase=C_full_covt +[Dataset] cur_step=5727 phase=C_full_covt[Dataset] cur_step=5727 phase=C_full_covt + +[Dataset] cur_step=5727 phase=C_full_covt +[Dataset] cur_step=5727 phase=C_full_covt + 64%|███████████████████ | 5727/9000 [4:15:28<3:45:25, 4.13s/it] {'loss': '3.041', 'grad_norm': '6.441', 'learning_rate': '1.6e-05', 'epoch': '0.206'} + 64%|███████████████████ | 5727/9000 [4:15:28<3:45:25, 4.13s/it] {'lm_loss': '0.4583', 'visual_loss': '2.393', 'seg_loss': '0.6503', 'dino_loss': '0.8883', 'depth_loss': '0.2254', 'vggt_mse_loss': '0.2241', 'vggt_cos_loss': '0.013', 'pidinet_loss': '0.1869', 'siglip_loss': '0.4417', 'epoch': '0.206'} + 64%|███████████████████ | 5727/9000 [4:15:31<3:45:25, 4.13s/it][Dataset] cur_step=5728 phase=C_full_covt +[Dataset] cur_step=5728 phase=C_full_covt +[Dataset] cur_step=5728 phase=C_full_covt +[Dataset] cur_step=5728 phase=C_full_covt[Dataset] cur_step=5728 phase=C_full_covt +[Dataset] cur_step=5728 phase=C_full_covt +[Dataset] cur_step=5728 phase=C_full_covt + + 64%|███████████████████ | 5728/9000 [4:15:32<3:40:44, 4.05s/it][Dataset] cur_step=5728 phase=C_full_covt + {'loss': '3.115', 'grad_norm': '32.4', 'learning_rate': '1.599e-05', 'epoch': '0.2061'} + 64%|███████████████████ | 5728/9000 [4:15:32<3:40:44, 4.05s/it] {'lm_loss': '0.001206', 'visual_loss': '2.459', 'seg_loss': '0.677', 'dino_loss': '0.8945', 'depth_loss': '0.2274', 'vggt_mse_loss': '0.2263', 'vggt_cos_loss': '0.01135', 'pidinet_loss': '0.2198', 'siglip_loss': '0.4405', 'epoch': '0.2061'} + 64%|███████████████████ | 5728/9000 [4:15:35<3:40:44, 4.05s/it][Dataset] cur_step=5729 phase=C_full_covt +[Dataset] cur_step=5729 phase=C_full_covt +[Dataset] cur_step=5729 phase=C_full_covt[Dataset] cur_step=5729 phase=C_full_covt + +[Dataset] cur_step=5729 phase=C_full_covt[Dataset] cur_step=5729 phase=C_full_covt + +[Dataset] cur_step=5729 phase=C_full_covt + 64%|███████████████████ | 5729/9000 [4:15:38<4:08:53, 4.57s/it][Dataset] cur_step=5729 phase=C_full_covt + {'loss': '3.012', 'grad_norm': '2.155', 'learning_rate': '1.599e-05', 'epoch': '0.2061'} + 64%|███████████████████ | 5729/9000 [4:15:38<4:08:53, 4.57s/it] {'lm_loss': '0.6495', 'visual_loss': '2.791', 'seg_loss': '0.7124', 'dino_loss': '0.9362', 'depth_loss': '0.2262', 'vggt_mse_loss': '0.2246', 'vggt_cos_loss': '0.01553', 'pidinet_loss': '0.268', 'siglip_loss': '0.6483', 'epoch': '0.2061'} + 64%|███████████████████ | 5729/9000 [4:15:41<4:08:53, 4.57s/it][Dataset] cur_step=5730 phase=C_full_covt +[Dataset] cur_step=5730 phase=C_full_covt +[Dataset] cur_step=5730 phase=C_full_covt 64%|███████████████████ | 5730/9000 [4:15:41<3:51:54, 4.26s/it] +[Dataset] cur_step=5730 phase=C_full_covt[Dataset] cur_step=5730 phase=C_full_covt + +[Dataset] cur_step=5730 phase=C_full_covt +[Dataset] cur_step=5730 phase=C_full_covt +[Dataset] cur_step=5730 phase=C_full_covt + {'loss': '3.144', 'grad_norm': '2.189', 'learning_rate': '1.598e-05', 'epoch': '0.2061'} + 64%|███████████████████ | 5730/9000 [4:15:41<3:51:54, 4.26s/it] {'lm_loss': '0.5428', 'visual_loss': '2.895', 'seg_loss': '0.7902', 'dino_loss': '0.9099', 'depth_loss': '0.2109', 'vggt_mse_loss': '0.2092', 'vggt_cos_loss': '0.01666', 'pidinet_loss': '0.2425', 'siglip_loss': '0.7414', 'epoch': '0.2061'} + 64%|███████████████████ | 5730/9000 [4:15:44<3:51:54, 4.26s/it][Dataset] cur_step=5731 phase=C_full_covt +[Dataset] cur_step=5731 phase=C_full_covt +[Dataset] cur_step=5731 phase=C_full_covt[Dataset] cur_step=5731 phase=C_full_covt + +[Dataset] cur_step=5731 phase=C_full_covt +[Dataset] cur_step=5731 phase=C_full_covt[Dataset] cur_step=5731 phase=C_full_covt 64%|███████████████████ | 5731/9000 [4:15:45<3:47:55, 4.18s/it] + +[Dataset] cur_step=5731 phase=C_full_covt + {'loss': '3.361', 'grad_norm': '6.937', 'learning_rate': '1.597e-05', 'epoch': '0.2062'} + 64%|███████████████████ | 5731/9000 [4:15:45<3:47:55, 4.18s/it] {'lm_loss': '0.5213', 'visual_loss': '2.743', 'seg_loss': '0.6899', 'dino_loss': '0.9113', 'depth_loss': '0.2466', 'vggt_mse_loss': '0.2449', 'vggt_cos_loss': '0.01658', 'pidinet_loss': '0.251', 'siglip_loss': '0.6444', 'epoch': '0.2062'} + 64%|███████████████████ | 5731/9000 [4:15:48<3:47:55, 4.18s/it][Dataset] cur_step=5732 phase=C_full_covt +[Dataset] cur_step=5732 phase=C_full_covt + 64%|███████████████████ | 5732/9000 [4:15:49<3:46:24, 4.16s/it][Dataset] cur_step=5732 phase=C_full_covt +[Dataset] cur_step=5732 phase=C_full_covt +[Dataset] cur_step=5732 phase=C_full_covt +[Dataset] cur_step=5732 phase=C_full_covt +[Dataset] cur_step=5732 phase=C_full_covt +[Dataset] cur_step=5732 phase=C_full_covt + {'loss': '3.027', 'grad_norm': '1.594', 'learning_rate': '1.596e-05', 'epoch': '0.2062'} + 64%|███████████████████ | 5732/9000 [4:15:49<3:46:24, 4.16s/it] {'lm_loss': '0.2563', 'visual_loss': '2.485', 'seg_loss': '0.7948', 'dino_loss': '0.9021', 'depth_loss': '0.2062', 'vggt_mse_loss': '0.2049', 'vggt_cos_loss': '0.01298', 'pidinet_loss': '0.2004', 'siglip_loss': '0.3813', 'epoch': '0.2062'} + 64%|███████████████████ | 5732/9000 [4:15:53<3:46:24, 4.16s/it][Dataset] cur_step=5733 phase=C_full_covt[Dataset] cur_step=5733 phase=C_full_covt + +[Dataset] cur_step=5733 phase=C_full_covt[Dataset] cur_step=5733 phase=C_full_covt[Dataset] cur_step=5733 phase=C_full_covt + + +[Dataset] cur_step=5733 phase=C_full_covt[Dataset] cur_step=5733 phase=C_full_covt + +[Dataset] cur_step=5733 phase=C_full_covt 64%|███████████████████ | 5733/9000 [4:15:53<3:45:02, 4.13s/it] + {'loss': '2.964', 'grad_norm': '1.92', 'learning_rate': '1.595e-05', 'epoch': '0.2062'} + 64%|███████████████████ | 5733/9000 [4:15:53<3:45:02, 4.13s/it] {'lm_loss': '0.004931', 'visual_loss': '2.6', 'seg_loss': '0.6847', 'dino_loss': '0.9006', 'depth_loss': '0.3777', 'vggt_mse_loss': '0.3745', 'vggt_cos_loss': '0.03186', 'pidinet_loss': '0.2037', 'siglip_loss': '0.4333', 'epoch': '0.2062'} + 64%|███████████████████ | 5733/9000 [4:15:57<3:45:02, 4.13s/it][Dataset] cur_step=5734 phase=C_full_covt +[Dataset] cur_step=5734 phase=C_full_covt[Dataset] cur_step=5734 phase=C_full_covt +[Dataset] cur_step=5734 phase=C_full_covt +[Dataset] cur_step=5734 phase=C_full_covt + +[Dataset] cur_step=5734 phase=C_full_covt + 64%|███████████████████ | 5734/9000 [4:15:57<3:42:43, 4.09s/it][Dataset] cur_step=5734 phase=C_full_covt +[Dataset] cur_step=5734 phase=C_full_covt + {'loss': '2.999', 'grad_norm': '2.043', 'learning_rate': '1.594e-05', 'epoch': '0.2063'} + 64%|███████████████████ | 5734/9000 [4:15:57<3:42:43, 4.09s/it] {'lm_loss': '0.03509', 'visual_loss': '2.466', 'seg_loss': '0.7871', 'dino_loss': '0.8723', 'depth_loss': '0.1969', 'vggt_mse_loss': '0.1959', 'vggt_cos_loss': '0.01025', 'pidinet_loss': '0.2158', 'siglip_loss': '0.3943', 'epoch': '0.2063'} + 64%|███████████████████ | 5734/9000 [4:16:00<3:42:43, 4.09s/it][Dataset] cur_step=5735 phase=C_full_covt +[Dataset] cur_step=5735 phase=C_full_covt +[Dataset] cur_step=5735 phase=C_full_covt[Dataset] cur_step=5735 phase=C_full_covt[Dataset] cur_step=5735 phase=C_full_covt + + +[Dataset] cur_step=5735 phase=C_full_covt 64%|███████████████████ | 5735/9000 [4:16:04<4:31:44, 4.99s/it] +[Dataset] cur_step=5735 phase=C_full_covt +[Dataset] cur_step=5735 phase=C_full_covt + {'loss': '3.231', 'grad_norm': '4.836', 'learning_rate': '1.593e-05', 'epoch': '0.2063'} + 64%|███████████████████ | 5735/9000 [4:16:04<4:31:44, 4.99s/it] {'lm_loss': '0.2961', 'visual_loss': '2.408', 'seg_loss': '0.6761', 'dino_loss': '0.8937', 'depth_loss': '0.2426', 'vggt_mse_loss': '0.2409', 'vggt_cos_loss': '0.01675', 'pidinet_loss': '0.1636', 'siglip_loss': '0.4325', 'epoch': '0.2063'} + 64%|███████████████████ | 5735/9000 [4:16:08<4:31:44, 4.99s/it][Dataset] cur_step=5736 phase=C_full_covt +[Dataset] cur_step=5736 phase=C_full_covt + 64%|███████████████████ | 5736/9000 [4:16:08<4:15:41, 4.70s/it][Dataset] cur_step=5736 phase=C_full_covt +[Dataset] cur_step=5736 phase=C_full_covt[Dataset] cur_step=5736 phase=C_full_covt + +[Dataset] cur_step=5736 phase=C_full_covt +[Dataset] cur_step=5736 phase=C_full_covt +[Dataset] cur_step=5736 phase=C_full_covt + {'loss': '3.069', 'grad_norm': '3.968', 'learning_rate': '1.593e-05', 'epoch': '0.2064'} + 64%|███████████████████ | 5736/9000 [4:16:08<4:15:41, 4.70s/it] {'lm_loss': '0.4661', 'visual_loss': '2.706', 'seg_loss': '0.7538', 'dino_loss': '0.8847', 'depth_loss': '0.4201', 'vggt_mse_loss': '0.4175', 'vggt_cos_loss': '0.02621', 'pidinet_loss': '0.2258', 'siglip_loss': '0.4213', 'epoch': '0.2064'} + 64%|███████████████████ | 5736/9000 [4:16:12<4:15:41, 4.70s/it][Dataset] cur_step=5737 phase=C_full_covt +[Dataset] cur_step=5737 phase=C_full_covt[Dataset] cur_step=5737 phase=C_full_covt + + 64%|███████████████████ | 5737/9000 [4:16:12<4:03:33, 4.48s/it][Dataset] cur_step=5737 phase=C_full_covt +[Dataset] cur_step=5737 phase=C_full_covt +[Dataset] cur_step=5737 phase=C_full_covt +[Dataset] cur_step=5737 phase=C_full_covt +[Dataset] cur_step=5737 phase=C_full_covt + {'loss': '3.137', 'grad_norm': '2.891', 'learning_rate': '1.592e-05', 'epoch': '0.2064'} + 64%|███████████████████ | 5737/9000 [4:16:12<4:03:33, 4.48s/it] {'lm_loss': '0.5212', 'visual_loss': '2.622', 'seg_loss': '0.715', 'dino_loss': '0.8939', 'depth_loss': '0.1972', 'vggt_mse_loss': '0.1961', 'vggt_cos_loss': '0.01096', 'pidinet_loss': '0.2142', 'siglip_loss': '0.6014', 'epoch': '0.2064'} + 64%|███████████████████ | 5737/9000 [4:16:16<4:03:33, 4.48s/it][Dataset] cur_step=5738 phase=C_full_covt +[Dataset] cur_step=5738 phase=C_full_covt[Dataset] cur_step=5738 phase=C_full_covt + +[Dataset] cur_step=5738 phase=C_full_covt +[Dataset] cur_step=5738 phase=C_full_covt +[Dataset] cur_step=5738 phase=C_full_covt +[Dataset] cur_step=5738 phase=C_full_covt +[Dataset] cur_step=5738 phase=C_full_covt + 64%|███████████████████▏ | 5738/9000 [4:16:16<3:55:11, 4.33s/it] {'loss': '3.179', 'grad_norm': '6.413', 'learning_rate': '1.591e-05', 'epoch': '0.2064'} + 64%|███████████████████▏ | 5738/9000 [4:16:16<3:55:11, 4.33s/it] {'lm_loss': '0.3428', 'visual_loss': '2.857', 'seg_loss': '0.6466', 'dino_loss': '0.9498', 'depth_loss': '0.4054', 'vggt_mse_loss': '0.4019', 'vggt_cos_loss': '0.03505', 'pidinet_loss': '0.2659', 'siglip_loss': '0.5896', 'epoch': '0.2064'} + 64%|███████████████████▏ | 5738/9000 [4:16:20<3:55:11, 4.33s/it][Dataset] cur_step=5739 phase=C_full_covt +[Dataset] cur_step=5739 phase=C_full_covt + 64%|███████████████████▏ | 5739/9000 [4:16:23<4:26:52, 4.91s/it][Dataset] cur_step=5739 phase=C_full_covt +[Dataset] cur_step=5739 phase=C_full_covt +[Dataset] cur_step=5739 phase=C_full_covt +[Dataset] cur_step=5739 phase=C_full_covt +[Dataset] cur_step=5739 phase=C_full_covt +[Dataset] cur_step=5739 phase=C_full_covt + {'loss': '3.276', 'grad_norm': '2.019', 'learning_rate': '1.59e-05', 'epoch': '0.2065'} + 64%|███████████████████▏ | 5739/9000 [4:16:23<4:26:52, 4.91s/it] {'lm_loss': '0.4351', 'visual_loss': '2.848', 'seg_loss': '0.7455', 'dino_loss': '0.9515', 'depth_loss': '0.2971', 'vggt_mse_loss': '0.2955', 'vggt_cos_loss': '0.01591', 'pidinet_loss': '0.2496', 'siglip_loss': '0.6047', 'epoch': '0.2065'} + 64%|███████████████████▏ | 5739/9000 [4:16:26<4:26:52, 4.91s/it][Dataset] cur_step=5740 phase=C_full_covt +[Dataset] cur_step=5740 phase=C_full_covt[Dataset] cur_step=5740 phase=C_full_covt + + 64%|███████████████████▏ | 5740/9000 [4:16:27<4:10:47, 4.62s/it][Dataset] cur_step=5740 phase=C_full_covt[Dataset] cur_step=5740 phase=C_full_covt + +[Dataset] cur_step=5740 phase=C_full_covt +[Dataset] cur_step=5740 phase=C_full_covt +[Dataset] cur_step=5740 phase=C_full_covt + {'loss': '3.104', 'grad_norm': '1.839', 'learning_rate': '1.589e-05', 'epoch': '0.2065'} + 64%|███████████████████▏ | 5740/9000 [4:16:27<4:10:47, 4.62s/it] {'lm_loss': '0.178', 'visual_loss': '2.867', 'seg_loss': '0.7035', 'dino_loss': '0.8926', 'depth_loss': '0.3133', 'vggt_mse_loss': '0.3109', 'vggt_cos_loss': '0.02352', 'pidinet_loss': '0.2453', 'siglip_loss': '0.7118', 'epoch': '0.2065'} + 64%|███████████████████▏ | 5740/9000 [4:16:30<4:10:47, 4.62s/it][Dataset] cur_step=5741 phase=C_full_covt +[Dataset] cur_step=5741 phase=C_full_covt +[Dataset] cur_step=5741 phase=C_full_covt[Dataset] cur_step=5741 phase=C_full_covt[Dataset] cur_step=5741 phase=C_full_covt + + + 64%|███████████████████▏ | 5741/9000 [4:16:30<3:57:10, 4.37s/it][Dataset] cur_step=5741 phase=C_full_covt +[Dataset] cur_step=5741 phase=C_full_covt +[Dataset] cur_step=5741 phase=C_full_covt + {'loss': '3.126', 'grad_norm': '1.724', 'learning_rate': '1.588e-05', 'epoch': '0.2065'} + 64%|███████████████████▏ | 5741/9000 [4:16:30<3:57:10, 4.37s/it] {'lm_loss': '0.652', 'visual_loss': '2.84', 'seg_loss': '0.7543', 'dino_loss': '0.9156', 'depth_loss': '0.3063', 'vggt_mse_loss': '0.3041', 'vggt_cos_loss': '0.02228', 'pidinet_loss': '0.2317', 'siglip_loss': '0.6317', 'epoch': '0.2065'} + 64%|███████████████████▏ | 5741/9000 [4:16:34<3:57:10, 4.37s/it][Dataset] cur_step=5742 phase=C_full_covt[Dataset] cur_step=5742 phase=C_full_covt + +[Dataset] cur_step=5742 phase=C_full_covt +[Dataset] cur_step=5742 phase=C_full_covt +[Dataset] cur_step=5742 phase=C_full_covt +[Dataset] cur_step=5742 phase=C_full_covt +[Dataset] cur_step=5742 phase=C_full_covt + 64%|███████████████████▏ | 5742/9000 [4:16:35<3:54:07, 4.31s/it][Dataset] cur_step=5742 phase=C_full_covt + {'loss': '3.111', 'grad_norm': '2.09', 'learning_rate': '1.587e-05', 'epoch': '0.2066'} + 64%|███████████████████▏ | 5742/9000 [4:16:35<3:54:07, 4.31s/it] {'lm_loss': '0.2819', 'visual_loss': '2.461', 'seg_loss': '0.7129', 'dino_loss': '0.8686', 'depth_loss': '0.2253', 'vggt_mse_loss': '0.2239', 'vggt_cos_loss': '0.01388', 'pidinet_loss': '0.1971', 'siglip_loss': '0.4569', 'epoch': '0.2066'} + 64%|███████████████████▏ | 5742/9000 [4:16:38<3:54:07, 4.31s/it][Dataset] cur_step=5743 phase=C_full_covt +[Dataset] cur_step=5743 phase=C_full_covt[Dataset] cur_step=5743 phase=C_full_covt + +[Dataset] cur_step=5743 phase=C_full_covt + 64%|███████████████████▏ | 5743/9000 [4:16:38<3:43:49, 4.12s/it][Dataset] cur_step=5743 phase=C_full_covt +[Dataset] cur_step=5743 phase=C_full_covt +[Dataset] cur_step=5743 phase=C_full_covt +[Dataset] cur_step=5743 phase=C_full_covt + {'loss': '3.081', 'grad_norm': '3.679', 'learning_rate': '1.587e-05', 'epoch': '0.2066'} + 64%|███████████████████▏ | 5743/9000 [4:16:38<3:43:49, 4.12s/it] {'lm_loss': '0.002829', 'visual_loss': '2.66', 'seg_loss': '0.782', 'dino_loss': '0.9377', 'depth_loss': '0.191', 'vggt_mse_loss': '0.1898', 'vggt_cos_loss': '0.01181', 'pidinet_loss': '0.2372', 'siglip_loss': '0.5126', 'epoch': '0.2066'} + 64%|███████████████████▏ | 5743/9000 [4:16:41<3:43:49, 4.12s/it][Dataset] cur_step=5744 phase=C_full_covt +[Dataset] cur_step=5744 phase=C_full_covt[Dataset] cur_step=5744 phase=C_full_covt + +[Dataset] cur_step=5744 phase=C_full_covt +[Dataset] cur_step=5744 phase=C_full_covt + 64%|███████████████████▏ | 5744/9000 [4:16:45<4:19:45, 4.79s/it][Dataset] cur_step=5744 phase=C_full_covt +[Dataset] cur_step=5744 phase=C_full_covt +[Dataset] cur_step=5744 phase=C_full_covt + {'loss': '2.939', 'grad_norm': '2.285', 'learning_rate': '1.586e-05', 'epoch': '0.2066'} + 64%|███████████████████▏ | 5744/9000 [4:16:45<4:19:45, 4.79s/it] {'lm_loss': '0.4142', 'visual_loss': '2.482', 'seg_loss': '0.6835', 'dino_loss': '0.9072', 'depth_loss': '0.2742', 'vggt_mse_loss': '0.2725', 'vggt_cos_loss': '0.01718', 'pidinet_loss': '0.2092', 'siglip_loss': '0.4075', 'epoch': '0.2066'} + 64%|███████████████████▏ | 5744/9000 [4:16:48<4:19:45, 4.79s/it][Dataset] cur_step=5745 phase=C_full_covt +[Dataset] cur_step=5745 phase=C_full_covt[Dataset] cur_step=5745 phase=C_full_covt + + 64%|███████████████████▏ | 5745/9000 [4:16:48<4:03:57, 4.50s/it][Dataset] cur_step=5745 phase=C_full_covt +[Dataset] cur_step=5745 phase=C_full_covt[Dataset] cur_step=5745 phase=C_full_covt + +[Dataset] cur_step=5745 phase=C_full_covt +[Dataset] cur_step=5745 phase=C_full_covt + {'loss': '3.179', 'grad_norm': '2.175', 'learning_rate': '1.585e-05', 'epoch': '0.2067'} + 64%|███████████████████▏ | 5745/9000 [4:16:48<4:03:57, 4.50s/it] {'lm_loss': '0.7049', 'visual_loss': '2.559', 'seg_loss': '0.6616', 'dino_loss': '0.9106', 'depth_loss': '0.1881', 'vggt_mse_loss': '0.1868', 'vggt_cos_loss': '0.01353', 'pidinet_loss': '0.2629', 'siglip_loss': '0.5355', 'epoch': '0.2067'} + 64%|███████████████████▏ | 5745/9000 [4:16:52<4:03:57, 4.50s/it][Dataset] cur_step=5746 phase=C_full_covt +[Dataset] cur_step=5746 phase=C_full_covt +[Dataset] cur_step=5746 phase=C_full_covt +[Dataset] cur_step=5746 phase=C_full_covt + 64%|███████████████████▏ | 5746/9000 [4:16:52<3:53:34, 4.31s/it][Dataset] cur_step=5746 phase=C_full_covt +[Dataset] cur_step=5746 phase=C_full_covt +[Dataset] cur_step=5746 phase=C_full_covt +[Dataset] cur_step=5746 phase=C_full_covt + {'loss': '3.156', 'grad_norm': '2.24', 'learning_rate': '1.584e-05', 'epoch': '0.2067'} + 64%|███████████████████▏ | 5746/9000 [4:16:52<3:53:34, 4.31s/it] {'lm_loss': '0.9387', 'visual_loss': '2.991', 'seg_loss': '0.9082', 'dino_loss': '0.8989', 'depth_loss': '0.2529', 'vggt_mse_loss': '0.2511', 'vggt_cos_loss': '0.0173', 'pidinet_loss': '0.2691', 'siglip_loss': '0.6616', 'epoch': '0.2067'} + 64%|███████████████████▏ | 5746/9000 [4:16:55<3:53:34, 4.31s/it][Dataset] cur_step=5747 phase=C_full_covt +[Dataset] cur_step=5747 phase=C_full_covt +[Dataset] cur_step=5747 phase=C_full_covt[Dataset] cur_step=5747 phase=C_full_covt + +[Dataset] cur_step=5747 phase=C_full_covt 64%|███████████████████▏ | 5747/9000 [4:16:56<3:49:52, 4.24s/it] +[Dataset] cur_step=5747 phase=C_full_covt +[Dataset] cur_step=5747 phase=C_full_covt[Dataset] cur_step=5747 phase=C_full_covt + + {'loss': '3.11', 'grad_norm': '4.806', 'learning_rate': '1.583e-05', 'epoch': '0.2067'} + 64%|███████████████████▏ | 5747/9000 [4:16:56<3:49:52, 4.24s/it] {'lm_loss': '0.4429', 'visual_loss': '2.654', 'seg_loss': '0.7097', 'dino_loss': '0.9431', 'depth_loss': '0.1991', 'vggt_mse_loss': '0.1975', 'vggt_cos_loss': '0.01575', 'pidinet_loss': '0.2577', 'siglip_loss': '0.5446', 'epoch': '0.2067'} + 64%|███████████████████▏ | 5747/9000 [4:17:00<3:49:52, 4.24s/it][Dataset] cur_step=5748 phase=C_full_covt[Dataset] cur_step=5748 phase=C_full_covt + +[Dataset] cur_step=5748 phase=C_full_covt +[Dataset] cur_step=5748 phase=C_full_covt +[Dataset] cur_step=5748 phase=C_full_covt +[Dataset] cur_step=5748 phase=C_full_covt + 64%|███████████████████▏ | 5748/9000 [4:17:01<3:51:16, 4.27s/it][Dataset] cur_step=5748 phase=C_full_covt +[Dataset] cur_step=5748 phase=C_full_covt + {'loss': '3.048', 'grad_norm': '2.503', 'learning_rate': '1.582e-05', 'epoch': '0.2068'} + 64%|███████████████████▏ | 5748/9000 [4:17:01<3:51:16, 4.27s/it] {'lm_loss': '0.6018', 'visual_loss': '2.783', 'seg_loss': '0.9033', 'dino_loss': '0.9228', 'depth_loss': '0.2093', 'vggt_mse_loss': '0.2078', 'vggt_cos_loss': '0.01577', 'pidinet_loss': '0.2346', 'siglip_loss': '0.5128', 'epoch': '0.2068'} + 64%|███████████████████▏ | 5748/9000 [4:17:04<3:51:16, 4.27s/it][Dataset] cur_step=5749 phase=C_full_covt[Dataset] cur_step=5749 phase=C_full_covt + +[Dataset] cur_step=5749 phase=C_full_covt + 64%|███████████████████▏ | 5749/9000 [4:17:05<3:47:53, 4.21s/it][Dataset] cur_step=5749 phase=C_full_covt +[Dataset] cur_step=5749 phase=C_full_covt +[Dataset] cur_step=5749 phase=C_full_covt +[Dataset] cur_step=5749 phase=C_full_covt +[Dataset] cur_step=5749 phase=C_full_covt + {'loss': '3.008', 'grad_norm': '2.312', 'learning_rate': '1.581e-05', 'epoch': '0.2068'} + 64%|███████████████████▏ | 5749/9000 [4:17:05<3:47:53, 4.21s/it] {'lm_loss': '0.02566', 'visual_loss': '2.532', 'seg_loss': '0.7096', 'dino_loss': '0.9', 'depth_loss': '0.281', 'vggt_mse_loss': '0.279', 'vggt_cos_loss': '0.01988', 'pidinet_loss': '0.205', 'siglip_loss': '0.4368', 'epoch': '0.2068'} + 64%|███████████████████▏ | 5749/9000 [4:17:08<3:47:53, 4.21s/it][Dataset] cur_step=5750 phase=C_full_covt + 64%|███████████████████▏ | 5750/9000 [4:17:09<3:44:51, 4.15s/it][Dataset] cur_step=5750 phase=C_full_covt +[Dataset] cur_step=5750 phase=C_full_covt +[Dataset] cur_step=5750 phase=C_full_covt[Dataset] cur_step=5750 phase=C_full_covt + +[Dataset] cur_step=5750 phase=C_full_covt +[Dataset] cur_step=5750 phase=C_full_covt +[Dataset] cur_step=5750 phase=C_full_covt + {'loss': '2.986', 'grad_norm': '1.662', 'learning_rate': '1.581e-05', 'epoch': '0.2069'} + 64%|███████████████████▏ | 5750/9000 [4:17:09<3:44:51, 4.15s/it] {'lm_loss': '0.001507', 'visual_loss': '2.794', 'seg_loss': '0.791', 'dino_loss': '0.9266', 'depth_loss': '0.3266', 'vggt_mse_loss': '0.324', 'vggt_cos_loss': '0.02659', 'pidinet_loss': '0.2666', 'siglip_loss': '0.4829', 'epoch': '0.2069'} + 64%|███████████████████▏ | 5750/9000 [4:17:12<3:44:51, 4.15s/it][Dataset] cur_step=5751 phase=C_full_covt + 64%|███████████████████▏ | 5751/9000 [4:17:17<4:52:39, 5.40s/it][Dataset] cur_step=5751 phase=C_full_covt +[Dataset] cur_step=5751 phase=C_full_covt[Dataset] cur_step=5751 phase=C_full_covt + +[Dataset] cur_step=5751 phase=C_full_covt[Dataset] cur_step=5751 phase=C_full_covt + +[Dataset] cur_step=5751 phase=C_full_covt +[Dataset] cur_step=5751 phase=C_full_covt + {'loss': '3.339', 'grad_norm': '1.573', 'learning_rate': '1.58e-05', 'epoch': '0.2069'} + 64%|███████████████████▏ | 5751/9000 [4:17:17<4:52:39, 5.40s/it] {'lm_loss': '0.5903', 'visual_loss': '2.308', 'seg_loss': '0.5963', 'dino_loss': '0.8961', 'depth_loss': '0.2128', 'vggt_mse_loss': '0.2115', 'vggt_cos_loss': '0.01279', 'pidinet_loss': '0.2104', 'siglip_loss': '0.3925', 'epoch': '0.2069'} + 64%|███████████████████▏ | 5751/9000 [4:17:21<4:52:39, 5.40s/it][Dataset] cur_step=5752 phase=C_full_covt +[Dataset] cur_step=5752 phase=C_full_covt +[Dataset] cur_step=5752 phase=C_full_covt + 64%|███████████████████▏ | 5752/9000 [4:17:21<4:36:16, 5.10s/it][Dataset] cur_step=5752 phase=C_full_covt +[Dataset] cur_step=5752 phase=C_full_covt +[Dataset] cur_step=5752 phase=C_full_covt +[Dataset] cur_step=5752 phase=C_full_covt +[Dataset] cur_step=5752 phase=C_full_covt + {'loss': '3.126', 'grad_norm': '2.279', 'learning_rate': '1.579e-05', 'epoch': '0.2069'} + 64%|███████████████████▏ | 5752/9000 [4:17:21<4:36:16, 5.10s/it] {'lm_loss': '0.5859', 'visual_loss': '2.82', 'seg_loss': '0.6865', 'dino_loss': '0.9424', 'depth_loss': '0.3018', 'vggt_mse_loss': '0.2992', 'vggt_cos_loss': '0.02621', 'pidinet_loss': '0.2451', 'siglip_loss': '0.6443', 'epoch': '0.2069'} + 64%|███████████████████▏ | 5752/9000 [4:17:25<4:36:16, 5.10s/it][Dataset] cur_step=5753 phase=C_full_covt +[Dataset] 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cur_step=5754 phase=C_full_covt +[Dataset] cur_step=5754 phase=C_full_covt +[Dataset] cur_step=5754 phase=C_full_covt + 64%|███████████████████▏ | 5754/9000 [4:17:30<4:07:34, 4.58s/it][Dataset] cur_step=5754 phase=C_full_covt + {'loss': '3.007', 'grad_norm': '2.249', 'learning_rate': '1.577e-05', 'epoch': '0.207'} + 64%|███████████████████▏ | 5754/9000 [4:17:30<4:07:34, 4.58s/it] {'lm_loss': '0.00797', 'visual_loss': '2.506', 'seg_loss': '0.6721', 'dino_loss': '0.8991', 'depth_loss': '0.3059', 'vggt_mse_loss': '0.3036', 'vggt_cos_loss': '0.02276', 'pidinet_loss': '0.1841', 'siglip_loss': '0.4444', 'epoch': '0.207'} + 64%|███████████████████▏ | 5754/9000 [4:17:36<4:07:34, 4.58s/it][Dataset] cur_step=5755 phase=C_full_covt + 64%|███████████████████▏ | 5755/9000 [4:17:36<4:39:22, 5.17s/it][Dataset] cur_step=5755 phase=C_full_covt +[Dataset] cur_step=5755 phase=C_full_covt +[Dataset] cur_step=5755 phase=C_full_covt +[Dataset] cur_step=5755 phase=C_full_covt +[Dataset] cur_step=5755 phase=C_full_covt +[Dataset] cur_step=5755 phase=C_full_covt +[Dataset] cur_step=5755 phase=C_full_covt + {'loss': '3.226', 'grad_norm': '2.433', 'learning_rate': '1.576e-05', 'epoch': '0.207'} + 64%|███████████████████▏ | 5755/9000 [4:17:36<4:39:22, 5.17s/it] {'lm_loss': '0.1861', 'visual_loss': '2.721', 'seg_loss': '0.6692', 'dino_loss': '0.9093', 'depth_loss': '0.3144', 'vggt_mse_loss': '0.3125', 'vggt_cos_loss': '0.01949', 'pidinet_loss': '0.2195', 'siglip_loss': '0.6084', 'epoch': '0.207'} + 64%|███████████████████▏ | 5755/9000 [4:17:40<4:39:22, 5.17s/it][Dataset] cur_step=5756 phase=C_full_covt +[Dataset] cur_step=5756 phase=C_full_covt +[Dataset] cur_step=5756 phase=C_full_covt +[Dataset] cur_step=5756 phase=C_full_covt[Dataset] cur_step=5756 phase=C_full_covt + +[Dataset] cur_step=5756 phase=C_full_covt + 64%|███████████████████▏ | 5756/9000 [4:17:41<4:29:18, 4.98s/it][Dataset] cur_step=5756 phase=C_full_covt +[Dataset] cur_step=5756 phase=C_full_covt + {'loss': '3.15', 'grad_norm': '3.763', 'learning_rate': '1.575e-05', 'epoch': '0.2071'} + 64%|███████████████████▏ | 5756/9000 [4:17:41<4:29:18, 4.98s/it] {'lm_loss': '0.2921', 'visual_loss': '2.718', 'seg_loss': '0.7515', 'dino_loss': '0.8939', 'depth_loss': '0.2343', 'vggt_mse_loss': '0.2327', 'vggt_cos_loss': '0.01577', 'pidinet_loss': '0.2432', 'siglip_loss': '0.5951', 'epoch': '0.2071'} + 64%|███████████████████▏ | 5756/9000 [4:17:43<4:29:18, 4.98s/it][Dataset] cur_step=5757 phase=C_full_covt[Dataset] cur_step=5757 phase=C_full_covt + +[Dataset] cur_step=5757 phase=C_full_covt +[Dataset] cur_step=5757 phase=C_full_covt[Dataset] cur_step=5757 phase=C_full_covt + + 64%|███████████████████▏ | 5757/9000 [4:17:45<4:21:03, 4.83s/it][Dataset] cur_step=5757 phase=C_full_covt +[Dataset] cur_step=5757 phase=C_full_covt +[Dataset] cur_step=5757 phase=C_full_covt + {'loss': '3.148', 'grad_norm': '3.635', 'learning_rate': '1.575e-05', 'epoch': '0.2071'} + 64%|███████████████████▏ | 5757/9000 [4:17:45<4:21:03, 4.83s/it] {'lm_loss': '0.2391', 'visual_loss': '2.83', 'seg_loss': '0.7147', 'dino_loss': '0.9262', 'depth_loss': '0.2426', 'vggt_mse_loss': '0.2411', 'vggt_cos_loss': '0.01474', 'pidinet_loss': '0.2584', 'siglip_loss': '0.6877', 'epoch': '0.2071'} + 64%|███████████████████▏ | 5757/9000 [4:17:48<4:21:03, 4.83s/it][Dataset] cur_step=5758 phase=C_full_covt[Dataset] cur_step=5758 phase=C_full_covt + +[Dataset] cur_step=5758 phase=C_full_covt +[Dataset] cur_step=5758 phase=C_full_covt +[Dataset] cur_step=5758 phase=C_full_covt + 64%|███████████████████▏ | 5758/9000 [4:17:49<4:08:48, 4.60s/it][Dataset] cur_step=5758 phase=C_full_covt[Dataset] cur_step=5758 phase=C_full_covt + +[Dataset] cur_step=5758 phase=C_full_covt + {'loss': '3.228', 'grad_norm': '2.199', 'learning_rate': '1.574e-05', 'epoch': '0.2071'} + 64%|███████████████████▏ | 5758/9000 [4:17:49<4:08:48, 4.60s/it] {'lm_loss': '0.5842', 'visual_loss': '2.609', 'seg_loss': '0.6595', 'dino_loss': '0.9322', 'depth_loss': '0.2098', 'vggt_mse_loss': '0.2084', 'vggt_cos_loss': '0.0143', 'pidinet_loss': '0.2296', 'siglip_loss': '0.5776', 'epoch': '0.2071'} + 64%|███████████████████▏ | 5758/9000 [4:17:52<4:08:48, 4.60s/it][Dataset] cur_step=5759 phase=C_full_covt +[Dataset] cur_step=5759 phase=C_full_covt +[Dataset] cur_step=5759 phase=C_full_covt +[Dataset] cur_step=5759 phase=C_full_covt +[Dataset] cur_step=5759 phase=C_full_covt +[Dataset] cur_step=5759 phase=C_full_covt +[Dataset] cur_step=5759 phase=C_full_covt +[Dataset] cur_step=5759 phase=C_full_covt + 64%|███████████████████▏ | 5759/9000 [4:17:53<3:57:38, 4.40s/it] {'loss': '3.072', 'grad_norm': '2.084', 'learning_rate': '1.573e-05', 'epoch': '0.2072'} + 64%|███████████████████▏ | 5759/9000 [4:17:53<3:57:38, 4.40s/it] {'lm_loss': '0.5105', 'visual_loss': '2.838', 'seg_loss': '0.7048', 'dino_loss': '0.924', 'depth_loss': '0.2615', 'vggt_mse_loss': '0.2596', 'vggt_cos_loss': '0.01866', 'pidinet_loss': '0.2647', 'siglip_loss': '0.6828', 'epoch': '0.2072'} + 64%|███████████████████▏ | 5759/9000 [4:17:56<3:57:38, 4.40s/it][Dataset] cur_step=5760 phase=C_full_covt +[Dataset] cur_step=5760 phase=C_full_covt +[Dataset] cur_step=5760 phase=C_full_covt[Dataset] cur_step=5760 phase=C_full_covt +[Dataset] cur_step=5760 phase=C_full_covt + + 64%|███████████████████▏ | 5760/9000 [4:17:57<3:53:45, 4.33s/it][Dataset] cur_step=5760 phase=C_full_covt[Dataset] cur_step=5760 phase=C_full_covt +[Dataset] cur_step=5760 phase=C_full_covt + + {'loss': '3.222', 'grad_norm': '2.968', 'learning_rate': '1.572e-05', 'epoch': '0.2072'} + 64%|███████████████████▏ | 5760/9000 [4:17:57<3:53:45, 4.33s/it] {'lm_loss': '0.354', 'visual_loss': '2.296', 'seg_loss': '0.5012', 'dino_loss': '0.897', 'depth_loss': '0.211', 'vggt_mse_loss': '0.2097', 'vggt_cos_loss': '0.0135', 'pidinet_loss': '0.1549', 'siglip_loss': '0.5325', 'epoch': '0.2072'} + 64%|███████████████████▏ | 5760/9000 [4:18:01<3:53:45, 4.33s/it][Dataset] cur_step=5761 phase=C_full_covt +[Dataset] cur_step=5761 phase=C_full_covt +[Dataset] cur_step=5761 phase=C_full_covt[Dataset] cur_step=5761 phase=C_full_covt + +[Dataset] cur_step=5761 phase=C_full_covt + 64%|███████████████████▏ | 5761/9000 [4:18:01<3:49:24, 4.25s/it][Dataset] cur_step=5761 phase=C_full_covt +[Dataset] cur_step=5761 phase=C_full_covt +[Dataset] cur_step=5761 phase=C_full_covt + {'loss': '3.194', 'grad_norm': '1.824', 'learning_rate': '1.571e-05', 'epoch': '0.2073'} + 64%|███████████████████▏ | 5761/9000 [4:18:01<3:49:24, 4.25s/it] {'lm_loss': '0.003954', 'visual_loss': '2.556', 'seg_loss': '0.6861', 'dino_loss': '0.8967', 'depth_loss': '0.2739', 'vggt_mse_loss': '0.272', 'vggt_cos_loss': '0.01862', 'pidinet_loss': '0.1791', 'siglip_loss': '0.5199', 'epoch': '0.2073'} + 64%|███████████████████▏ | 5761/9000 [4:18:05<3:49:24, 4.25s/it][Dataset] cur_step=5762 phase=C_full_covt +[Dataset] cur_step=5762 phase=C_full_covt + 64%|███████████████████▏ | 5762/9000 [4:18:05<3:43:36, 4.14s/it][Dataset] cur_step=5762 phase=C_full_covt[Dataset] cur_step=5762 phase=C_full_covt + +[Dataset] cur_step=5762 phase=C_full_covt +[Dataset] cur_step=5762 phase=C_full_covt +[Dataset] cur_step=5762 phase=C_full_covt +[Dataset] cur_step=5762 phase=C_full_covt + {'loss': '3.308', 'grad_norm': '16.38', 'learning_rate': '1.57e-05', 'epoch': '0.2073'} + 64%|███████████████████▏ | 5762/9000 [4:18:05<3:43:36, 4.14s/it] {'lm_loss': '0.7158', 'visual_loss': '2.653', 'seg_loss': '0.6691', 'dino_loss': '0.9044', 'depth_loss': '0.2877', 'vggt_mse_loss': '0.2855', 'vggt_cos_loss': '0.02192', 'pidinet_loss': '0.2024', 'siglip_loss': '0.589', 'epoch': '0.2073'} + 64%|███████████████████▏ | 5762/9000 [4:18:09<3:43:36, 4.14s/it][Dataset] cur_step=5763 phase=C_full_covt[Dataset] cur_step=5763 phase=C_full_covt +[Dataset] cur_step=5763 phase=C_full_covt + +[Dataset] cur_step=5763 phase=C_full_covt[Dataset] cur_step=5763 phase=C_full_covt + +[Dataset] cur_step=5763 phase=C_full_covt + 64%|███████████████████▏ | 5763/9000 [4:18:09<3:40:12, 4.08s/it][Dataset] cur_step=5763 phase=C_full_covt +[Dataset] cur_step=5763 phase=C_full_covt + {'loss': '3.112', 'grad_norm': '2.143', 'learning_rate': '1.569e-05', 'epoch': '0.2073'} + 64%|███████████████████▏ | 5763/9000 [4:18:09<3:40:12, 4.08s/it] {'lm_loss': '0.2324', 'visual_loss': '2.346', 'seg_loss': '0.6681', 'dino_loss': '0.895', 'depth_loss': '0.2578', 'vggt_mse_loss': '0.2564', 'vggt_cos_loss': '0.0145', 'pidinet_loss': '0.149', 'siglip_loss': '0.3759', 'epoch': '0.2073'} + 64%|███████████████████▏ | 5763/9000 [4:18:13<3:40:12, 4.08s/it][Dataset] cur_step=5764 phase=C_full_covt +[Dataset] cur_step=5764 phase=C_full_covt + 64%|███████████████████▏ | 5764/9000 [4:18:13<3:37:19, 4.03s/it][Dataset] cur_step=5764 phase=C_full_covt +[Dataset] cur_step=5764 phase=C_full_covt +[Dataset] cur_step=5764 phase=C_full_covt +[Dataset] cur_step=5764 phase=C_full_covt +[Dataset] cur_step=5764 phase=C_full_covt +[Dataset] cur_step=5764 phase=C_full_covt + {'loss': '2.973', 'grad_norm': '2.496', 'learning_rate': '1.569e-05', 'epoch': '0.2074'} + 64%|███████████████████▏ | 5764/9000 [4:18:13<3:37:19, 4.03s/it] {'lm_loss': '0.5027', 'visual_loss': '2.73', 'seg_loss': '0.7645', 'dino_loss': '0.896', 'depth_loss': '0.2969', 'vggt_mse_loss': '0.2944', 'vggt_cos_loss': '0.02477', 'pidinet_loss': '0.2104', 'siglip_loss': '0.5627', 'epoch': '0.2074'} + 64%|███████████████████▏ | 5764/9000 [4:18:16<3:37:19, 4.03s/it][Dataset] cur_step=5765 phase=C_full_covt +[Dataset] cur_step=5765 phase=C_full_covt +[Dataset] cur_step=5765 phase=C_full_covt +[Dataset] cur_step=5765 phase=C_full_covt +[Dataset] cur_step=5765 phase=C_full_covt + 64%|███████████████████▏ | 5765/9000 [4:18:17<3:37:39, 4.04s/it][Dataset] cur_step=5765 phase=C_full_covt +[Dataset] cur_step=5765 phase=C_full_covt +[Dataset] cur_step=5765 phase=C_full_covt + {'loss': '3.132', 'grad_norm': '1.825', 'learning_rate': '1.568e-05', 'epoch': '0.2074'} + 64%|███████████████████▏ | 5765/9000 [4:18:17<3:37:39, 4.04s/it] {'lm_loss': '0.6144', 'visual_loss': '2.693', 'seg_loss': '0.7029', 'dino_loss': '0.9169', 'depth_loss': '0.269', 'vggt_mse_loss': '0.2671', 'vggt_cos_loss': '0.01904', 'pidinet_loss': '0.2574', 'siglip_loss': '0.5471', 'epoch': '0.2074'} + 64%|███████████████████▏ | 5765/9000 [4:18:21<3:37:39, 4.04s/it][Dataset] cur_step=5766 phase=C_full_covt +[Dataset] cur_step=5766 phase=C_full_covt +[Dataset] cur_step=5766 phase=C_full_covt[Dataset] cur_step=5766 phase=C_full_covt +[Dataset] cur_step=5766 phase=C_full_covt +[Dataset] cur_step=5766 phase=C_full_covt + + 64%|███████████████████▏ | 5766/9000 [4:18:22<3:42:34, 4.13s/it][Dataset] cur_step=5766 phase=C_full_covt +[Dataset] cur_step=5766 phase=C_full_covt + {'loss': '3.216', 'grad_norm': '1.881', 'learning_rate': '1.567e-05', 'epoch': '0.2074'} + 64%|███████████████████▏ | 5766/9000 [4:18:22<3:42:34, 4.13s/it] {'lm_loss': '0.4075', 'visual_loss': '2.603', 'seg_loss': '0.6999', 'dino_loss': '0.8883', 'depth_loss': '0.2638', 'vggt_mse_loss': '0.2623', 'vggt_cos_loss': '0.01466', 'pidinet_loss': '0.1679', 'siglip_loss': '0.5829', 'epoch': '0.2074'} + 64%|███████████████████▏ | 5766/9000 [4:18:25<3:42:34, 4.13s/it][Dataset] cur_step=5767 phase=C_full_covt +[Dataset] cur_step=5767 phase=C_full_covt +[Dataset] cur_step=5767 phase=C_full_covt +[Dataset] cur_step=5767 phase=C_full_covt +[Dataset] cur_step=5767 phase=C_full_covt + 64%|███████████████████▏ | 5767/9000 [4:18:26<3:41:35, 4.11s/it][Dataset] cur_step=5767 phase=C_full_covt +[Dataset] cur_step=5767 phase=C_full_covt[Dataset] cur_step=5767 phase=C_full_covt + + {'loss': '3.139', 'grad_norm': '2.091', 'learning_rate': '1.566e-05', 'epoch': '0.2075'} + 64%|███████████████████▏ | 5767/9000 [4:18:26<3:41:35, 4.11s/it] {'lm_loss': '0.8516', 'visual_loss': '2.879', 'seg_loss': '0.7499', 'dino_loss': '0.8619', 'depth_loss': '0.3156', 'vggt_mse_loss': '0.3131', 'vggt_cos_loss': '0.02444', 'pidinet_loss': '0.2668', 'siglip_loss': '0.6851', 'epoch': '0.2075'} + 64%|███████████████████▏ | 5767/9000 [4:18:29<3:41:35, 4.11s/it][Dataset] cur_step=5768 phase=C_full_covt +[Dataset] cur_step=5768 phase=C_full_covt[Dataset] cur_step=5768 phase=C_full_covt +[Dataset] cur_step=5768 phase=C_full_covt + +[Dataset] cur_step=5768 phase=C_full_covt +[Dataset] cur_step=5768 phase=C_full_covt +[Dataset] cur_step=5768 phase=C_full_covt +[Dataset] cur_step=5768 phase=C_full_covt + 64%|███████████████████▏ | 5768/9000 [4:18:29<3:37:31, 4.04s/it] {'loss': '3.041', 'grad_norm': '2.852', 'learning_rate': '1.565e-05', 'epoch': '0.2075'} + 64%|███████████████████▏ | 5768/9000 [4:18:29<3:37:31, 4.04s/it] {'lm_loss': '0.5403', 'visual_loss': '2.605', 'seg_loss': '0.7395', 'dino_loss': '0.9271', 'depth_loss': '0.1662', 'vggt_mse_loss': '0.165', 'vggt_cos_loss': '0.01232', 'pidinet_loss': '0.2176', 'siglip_loss': '0.5549', 'epoch': '0.2075'} + 64%|███████████████████▏ | 5768/9000 [4:18:33<3:37:31, 4.04s/it][Dataset] cur_step=5769 phase=C_full_covt +[Dataset] cur_step=5769 phase=C_full_covt +[Dataset] cur_step=5769 phase=C_full_covt +[Dataset] cur_step=5769 phase=C_full_covt +[Dataset] cur_step=5769 phase=C_full_covt[Dataset] cur_step=5769 phase=C_full_covt + + 64%|███████████████████▏ | 5769/9000 [4:18:34<3:38:16, 4.05s/it][Dataset] cur_step=5769 phase=C_full_covt +[Dataset] cur_step=5769 phase=C_full_covt + {'loss': '3.227', 'grad_norm': '2.223', 'learning_rate': '1.564e-05', 'epoch': '0.2075'} + 64%|███████████████████▏ | 5769/9000 [4:18:34<3:38:16, 4.05s/it] {'lm_loss': '0.7334', 'visual_loss': '2.806', 'seg_loss': '0.813', 'dino_loss': '0.92', 'depth_loss': '0.2312', 'vggt_mse_loss': '0.2297', 'vggt_cos_loss': '0.01555', 'pidinet_loss': '0.23', 'siglip_loss': '0.6119', 'epoch': '0.2075'} + 64%|███████████████████▏ | 5769/9000 [4:18:36<3:38:16, 4.05s/it][Dataset] cur_step=5770 phase=C_full_covt +[Dataset] cur_step=5770 phase=C_full_covt +[Dataset] cur_step=5770 phase=C_full_covt +[Dataset] cur_step=5770 phase=C_full_covt +[Dataset] cur_step=5770 phase=C_full_covt +[Dataset] cur_step=5770 phase=C_full_covt +[Dataset] cur_step=5770 phase=C_full_covt +[Dataset] cur_step=5770 phase=C_full_covt + 64%|███████████████████▏ | 5770/9000 [4:18:38<3:39:39, 4.08s/it] {'loss': '3.075', 'grad_norm': '3.315', 'learning_rate': '1.563e-05', 'epoch': '0.2076'} + 64%|███████████████████▏ | 5770/9000 [4:18:38<3:39:39, 4.08s/it] {'lm_loss': '0.185', 'visual_loss': '2.975', 'seg_loss': '0.8676', 'dino_loss': '0.9347', 'depth_loss': '0.2727', 'vggt_mse_loss': '0.2705', 'vggt_cos_loss': '0.02209', 'pidinet_loss': '0.2261', 'siglip_loss': '0.6743', 'epoch': '0.2076'} + 64%|███████████████████▏ | 5770/9000 [4:18:41<3:39:39, 4.08s/it][Dataset] cur_step=5771 phase=C_full_covt +[Dataset] cur_step=5771 phase=C_full_covt +[Dataset] cur_step=5771 phase=C_full_covt +[Dataset] cur_step=5771 phase=C_full_covt +[Dataset] cur_step=5771 phase=C_full_covt +[Dataset] cur_step=5771 phase=C_full_covt +[Dataset] cur_step=5771 phase=C_full_covt + 64%|███████████████████▏ | 5771/9000 [4:18:41<3:33:38, 3.97s/it][Dataset] cur_step=5771 phase=C_full_covt + {'loss': '2.985', 'grad_norm': '1.906', 'learning_rate': '1.563e-05', 'epoch': '0.2076'} + 64%|███████████████████▏ | 5771/9000 [4:18:41<3:33:38, 3.97s/it] {'lm_loss': '0.2993', 'visual_loss': '2.882', 'seg_loss': '0.7428', 'dino_loss': '0.912', 'depth_loss': '0.2523', 'vggt_mse_loss': '0.2505', 'vggt_cos_loss': '0.01849', 'pidinet_loss': '0.2564', 'siglip_loss': '0.7189', 'epoch': '0.2076'} + 64%|███████████████████▏ | 5771/9000 [4:18:45<3:33:38, 3.97s/it][Dataset] cur_step=5772 phase=C_full_covt[Dataset] cur_step=5772 phase=C_full_covt +[Dataset] cur_step=5772 phase=C_full_covt[Dataset] cur_step=5772 phase=C_full_covt + + +[Dataset] cur_step=5772 phase=C_full_covt + 64%|███████████████████▏ | 5772/9000 [4:18:45<3:28:53, 3.88s/it][Dataset] cur_step=5772 phase=C_full_covt +[Dataset] cur_step=5772 phase=C_full_covt +[Dataset] cur_step=5772 phase=C_full_covt + {'loss': '3.175', 'grad_norm': '1.375', 'learning_rate': '1.562e-05', 'epoch': '0.2076'} + 64%|███████████████████▏ | 5772/9000 [4:18:45<3:28:53, 3.88s/it] {'lm_loss': '0.5799', 'visual_loss': '2.59', 'seg_loss': '0.6848', 'dino_loss': '0.94', 'depth_loss': '0.2042', 'vggt_mse_loss': '0.2027', 'vggt_cos_loss': '0.01518', 'pidinet_loss': '0.2066', 'siglip_loss': '0.5545', 'epoch': '0.2076'} + 64%|███████████████████▏ | 5772/9000 [4:18:49<3:28:53, 3.88s/it][Dataset] cur_step=5773 phase=C_full_covt + 64%|███████████████████▏ | 5773/9000 [4:18:50<3:40:01, 4.09s/it][Dataset] cur_step=5773 phase=C_full_covt +[Dataset] cur_step=5773 phase=C_full_covt +[Dataset] cur_step=5773 phase=C_full_covt +[Dataset] cur_step=5773 phase=C_full_covt +[Dataset] cur_step=5773 phase=C_full_covt +[Dataset] cur_step=5773 phase=C_full_covt +[Dataset] cur_step=5773 phase=C_full_covt + {'loss': '3.169', 'grad_norm': '3.268', 'learning_rate': '1.561e-05', 'epoch': '0.2077'} + 64%|███████████████████▏ | 5773/9000 [4:18:50<3:40:01, 4.09s/it] {'lm_loss': '0.003562', 'visual_loss': '2.659', 'seg_loss': '0.7966', 'dino_loss': '0.9034', 'depth_loss': '0.2489', 'vggt_mse_loss': '0.2474', 'vggt_cos_loss': '0.01473', 'pidinet_loss': '0.193', 'siglip_loss': '0.517', 'epoch': '0.2077'} + 64%|███████████████████▏ | 5773/9000 [4:18:52<3:40:01, 4.09s/it][Dataset] cur_step=5774 phase=C_full_covt +[Dataset] cur_step=5774 phase=C_full_covt +[Dataset] cur_step=5774 phase=C_full_covt +[Dataset] cur_step=5774 phase=C_full_covt +[Dataset] cur_step=5774 phase=C_full_covt +[Dataset] cur_step=5774 phase=C_full_covt +[Dataset] cur_step=5774 phase=C_full_covt +[Dataset] cur_step=5774 phase=C_full_covt + 64%|███████████████████▏ | 5774/9000 [4:18:53<3:35:18, 4.00s/it] {'loss': '2.968', 'grad_norm': '1.874', 'learning_rate': '1.56e-05', 'epoch': '0.2077'} + 64%|███████████████████▏ | 5774/9000 [4:18:53<3:35:18, 4.00s/it] {'lm_loss': '0.5006', 'visual_loss': '2.593', 'seg_loss': '0.713', 'dino_loss': '0.9169', 'depth_loss': '0.2082', 'vggt_mse_loss': '0.2068', 'vggt_cos_loss': '0.01451', 'pidinet_loss': '0.2597', 'siglip_loss': '0.4955', 'epoch': '0.2077'} + 64%|███████████████████▏ | 5774/9000 [4:18:57<3:35:18, 4.00s/it][Dataset] cur_step=5775 phase=C_full_covt +[Dataset] cur_step=5775 phase=C_full_covt +[Dataset] cur_step=5775 phase=C_full_covt +[Dataset] cur_step=5775 phase=C_full_covt +[Dataset] cur_step=5775 phase=C_full_covt[Dataset] cur_step=5775 phase=C_full_covt + + 64%|███████████████████▎ | 5775/9000 [4:18:58<3:36:15, 4.02s/it][Dataset] cur_step=5775 phase=C_full_covt +[Dataset] cur_step=5775 phase=C_full_covt + {'loss': '3.133', 'grad_norm': '1.675', 'learning_rate': '1.559e-05', 'epoch': '0.2078'} + 64%|███████████████████▎ | 5775/9000 [4:18:58<3:36:15, 4.02s/it] {'lm_loss': '0.3468', 'visual_loss': '2.826', 'seg_loss': '0.6407', 'dino_loss': '0.9132', 'depth_loss': '0.2791', 'vggt_mse_loss': '0.2774', 'vggt_cos_loss': '0.01773', 'pidinet_loss': '0.1992', 'siglip_loss': '0.7939', 'epoch': '0.2078'} + 64%|███████████████████▎ | 5775/9000 [4:19:01<3:36:15, 4.02s/it][Dataset] cur_step=5776 phase=C_full_covt[Dataset] cur_step=5776 phase=C_full_covt + +[Dataset] cur_step=5776 phase=C_full_covt[Dataset] cur_step=5776 phase=C_full_covt + + 64%|███████████████████▎ | 5776/9000 [4:19:02<3:37:50, 4.05s/it][Dataset] cur_step=5776 phase=C_full_covt +[Dataset] cur_step=5776 phase=C_full_covt +[Dataset] cur_step=5776 phase=C_full_covt +[Dataset] cur_step=5776 phase=C_full_covt + {'loss': '2.942', 'grad_norm': '3.074', 'learning_rate': '1.558e-05', 'epoch': '0.2078'} + 64%|███████████████████▎ | 5776/9000 [4:19:02<3:37:50, 4.05s/it] {'lm_loss': '0.3552', 'visual_loss': '2.767', 'seg_loss': '0.7257', 'dino_loss': '0.9261', 'depth_loss': '0.2408', 'vggt_mse_loss': '0.2392', 'vggt_cos_loss': '0.01673', 'pidinet_loss': '0.27', 'siglip_loss': '0.6048', 'epoch': '0.2078'} + 64%|███████████████████▎ | 5776/9000 [4:19:06<3:37:50, 4.05s/it][Dataset] cur_step=5777 phase=C_full_covt +[Dataset] cur_step=5777 phase=C_full_covt +[Dataset] cur_step=5777 phase=C_full_covt +[Dataset] cur_step=5777 phase=C_full_covt 64%|███████████████████▎ | 5777/9000 [4:19:06<3:42:49, 4.15s/it] +[Dataset] cur_step=5777 phase=C_full_covt +[Dataset] cur_step=5777 phase=C_full_covt +[Dataset] cur_step=5777 phase=C_full_covt +[Dataset] cur_step=5777 phase=C_full_covt + {'loss': '3.2', 'grad_norm': '7.054', 'learning_rate': '1.558e-05', 'epoch': '0.2078'} + 64%|███████████████████▎ | 5777/9000 [4:19:06<3:42:49, 4.15s/it] {'lm_loss': '0.0005906', 'visual_loss': '2.601', 'seg_loss': '0.6175', 'dino_loss': '0.9397', 'depth_loss': '0.2762', 'vggt_mse_loss': '0.2738', 'vggt_cos_loss': '0.02374', 'pidinet_loss': '0.2491', 'siglip_loss': '0.5182', 'epoch': '0.2078'} + 64%|███████████████████▎ | 5777/9000 [4:19:09<3:42:49, 4.15s/it][Dataset] cur_step=5778 phase=C_full_covt +[Dataset] cur_step=5778 phase=C_full_covt +[Dataset] cur_step=5778 phase=C_full_covt +[Dataset] cur_step=5778 phase=C_full_covt +[Dataset] cur_step=5778 phase=C_full_covt[Dataset] cur_step=5778 phase=C_full_covt + +[Dataset] cur_step=5778 phase=C_full_covt + 64%|███████████████████▎ | 5778/9000 [4:19:10<3:47:20, 4.23s/it][Dataset] cur_step=5778 phase=C_full_covt + {'loss': '3.055', 'grad_norm': '1.499', 'learning_rate': '1.557e-05', 'epoch': '0.2079'} + 64%|███████████████████▎ | 5778/9000 [4:19:10<3:47:20, 4.23s/it] {'lm_loss': '0.6966', 'visual_loss': '2.554', 'seg_loss': '0.6898', 'dino_loss': '0.9088', 'depth_loss': '0.2205', 'vggt_mse_loss': '0.2191', 'vggt_cos_loss': '0.01331', 'pidinet_loss': '0.2126', 'siglip_loss': '0.5227', 'epoch': '0.2079'} + 64%|███████████████████▎ | 5778/9000 [4:19:14<3:47:20, 4.23s/it][Dataset] cur_step=5779 phase=C_full_covt +[Dataset] cur_step=5779 phase=C_full_covt +[Dataset] cur_step=5779 phase=C_full_covt[Dataset] cur_step=5779 phase=C_full_covt + +[Dataset] cur_step=5779 phase=C_full_covt +[Dataset] cur_step=5779 phase=C_full_covt +[Dataset] cur_step=5779 phase=C_full_covt[Dataset] cur_step=5779 phase=C_full_covt + + 64%|███████████████████▎ | 5779/9000 [4:19:15<3:47:20, 4.23s/it] {'loss': '2.993', 'grad_norm': '1.523', 'learning_rate': '1.556e-05', 'epoch': '0.2079'} + 64%|███████████████████▎ | 5779/9000 [4:19:15<3:47:20, 4.23s/it] {'lm_loss': '0.6535', 'visual_loss': '2.853', 'seg_loss': '0.7572', 'dino_loss': '0.9175', 'depth_loss': '0.3246', 'vggt_mse_loss': '0.3223', 'vggt_cos_loss': '0.02299', 'pidinet_loss': '0.2285', 'siglip_loss': '0.6249', 'epoch': '0.2079'} + 64%|███████████████████▎ | 5779/9000 [4:19:18<3:47:20, 4.23s/it][Dataset] cur_step=5780 phase=C_full_covt +[Dataset] cur_step=5780 phase=C_full_covt +[Dataset] cur_step=5780 phase=C_full_covt +[Dataset] cur_step=5780 phase=C_full_covt + 64%|███████████████████▎ | 5780/9000 [4:19:19<3:42:24, 4.14s/it][Dataset] cur_step=5780 phase=C_full_covt +[Dataset] cur_step=5780 phase=C_full_covt +[Dataset] cur_step=5780 phase=C_full_covt +[Dataset] cur_step=5780 phase=C_full_covt + {'loss': '3.09', 'grad_norm': '4.487', 'learning_rate': '1.555e-05', 'epoch': '0.2079'} + 64%|███████████████████▎ | 5780/9000 [4:19:19<3:42:24, 4.14s/it] {'lm_loss': '0.0261', 'visual_loss': '2.447', 'seg_loss': '0.6736', 'dino_loss': '0.8739', 'depth_loss': '0.2366', 'vggt_mse_loss': '0.2349', 'vggt_cos_loss': '0.01684', 'pidinet_loss': '0.2197', 'siglip_loss': '0.4434', 'epoch': '0.2079'} + 64%|███████████████████▎ | 5780/9000 [4:19:22<3:42:24, 4.14s/it][Dataset] cur_step=5781 phase=C_full_covt +[Dataset] cur_step=5781 phase=C_full_covt +[Dataset] cur_step=5781 phase=C_full_covt + 64%|███████████████████▎ | 5781/9000 [4:19:22<3:34:12, 3.99s/it][Dataset] cur_step=5781 phase=C_full_covt +[Dataset] cur_step=5781 phase=C_full_covt +[Dataset] cur_step=5781 phase=C_full_covt +[Dataset] cur_step=5781 phase=C_full_covt +[Dataset] cur_step=5781 phase=C_full_covt + {'loss': '3.126', 'grad_norm': '2.363', 'learning_rate': '1.554e-05', 'epoch': '0.208'} + 64%|███████████████████▎ | 5781/9000 [4:19:22<3:34:12, 3.99s/it] {'lm_loss': '0.2004', 'visual_loss': '2.722', 'seg_loss': '0.8066', 'dino_loss': '0.9061', 'depth_loss': '0.2359', 'vggt_mse_loss': '0.2348', 'vggt_cos_loss': '0.01105', 'pidinet_loss': '0.2062', 'siglip_loss': '0.5668', 'epoch': '0.208'} + 64%|███████████████████▎ | 5781/9000 [4:19:26<3:34:12, 3.99s/it][Dataset] cur_step=5782 phase=C_full_covt[Dataset] cur_step=5782 phase=C_full_covt + +[Dataset] cur_step=5782 phase=C_full_covt +[Dataset] cur_step=5782 phase=C_full_covt[Dataset] cur_step=5782 phase=C_full_covt + + 64%|███████████████████▎ | 5782/9000 [4:19:26<3:35:49, 4.02s/it][Dataset] cur_step=5782 phase=C_full_covt +[Dataset] cur_step=5782 phase=C_full_covt +[Dataset] cur_step=5782 phase=C_full_covt + {'loss': '3.136', 'grad_norm': '3.361', 'learning_rate': '1.553e-05', 'epoch': '0.208'} + 64%|███████████████████▎ | 5782/9000 [4:19:26<3:35:49, 4.02s/it] {'lm_loss': '0.4598', 'visual_loss': '3.001', 'seg_loss': '0.7695', 'dino_loss': '0.8997', 'depth_loss': '0.1969', 'vggt_mse_loss': '0.1955', 'vggt_cos_loss': '0.01386', 'pidinet_loss': '0.2872', 'siglip_loss': '0.8476', 'epoch': '0.208'} + 64%|███████████████████▎ | 5782/9000 [4:19:29<3:35:49, 4.02s/it][Dataset] cur_step=5783 phase=C_full_covt +[Dataset] cur_step=5783 phase=C_full_covt +[Dataset] cur_step=5783 phase=C_full_covt + 64%|███████████████████▎ | 5783/9000 [4:19:30<3:36:43, 4.04s/it][Dataset] cur_step=5783 phase=C_full_covt +[Dataset] cur_step=5783 phase=C_full_covt +[Dataset] cur_step=5783 phase=C_full_covt +[Dataset] cur_step=5783 phase=C_full_covt +[Dataset] cur_step=5783 phase=C_full_covt + {'loss': '3.364', 'grad_norm': '3.086', 'learning_rate': '1.552e-05', 'epoch': '0.208'} + 64%|███████████████████▎ | 5783/9000 [4:19:30<3:36:43, 4.04s/it] {'lm_loss': '0.8225', 'visual_loss': '2.725', 'seg_loss': '0.8106', 'dino_loss': '0.8934', 'depth_loss': '0.2984', 'vggt_mse_loss': '0.2959', 'vggt_cos_loss': '0.02555', 'pidinet_loss': '0.2343', 'siglip_loss': '0.4887', 'epoch': '0.208'} + 64%|███████████████████▎ | 5783/9000 [4:19:33<3:36:43, 4.04s/it][Dataset] cur_step=5784 phase=C_full_covt[Dataset] cur_step=5784 phase=C_full_covt + +[Dataset] cur_step=5784 phase=C_full_covt +[Dataset] cur_step=5784 phase=C_full_covt +[Dataset] cur_step=5784 phase=C_full_covt +[Dataset] cur_step=5784 phase=C_full_covt +[Dataset] cur_step=5784 phase=C_full_covt + 64%|███████████████████▎ | 5784/9000 [4:19:34<3:34:45, 4.01s/it][Dataset] cur_step=5784 phase=C_full_covt + {'loss': '3.263', 'grad_norm': '1.421', 'learning_rate': '1.552e-05', 'epoch': '0.2081'} + 64%|███████████████████▎ | 5784/9000 [4:19:34<3:34:45, 4.01s/it] {'lm_loss': '0.04033', 'visual_loss': '2.688', 'seg_loss': '0.8319', 'dino_loss': '0.9216', 'depth_loss': '0.2196', 'vggt_mse_loss': '0.218', 'vggt_cos_loss': '0.0159', 'pidinet_loss': '0.2394', 'siglip_loss': '0.4754', 'epoch': '0.2081'} + 64%|███████████████████▎ | 5784/9000 [4:19:37<3:34:45, 4.01s/it][Dataset] cur_step=5785 phase=C_full_covt +[Dataset] cur_step=5785 phase=C_full_covt +[Dataset] cur_step=5785 phase=C_full_covt +[Dataset] cur_step=5785 phase=C_full_covt +[Dataset] cur_step=5785 phase=C_full_covt +[Dataset] cur_step=5785 phase=C_full_covt[Dataset] cur_step=5785 phase=C_full_covt + + 64%|███████████████████▎ | 5785/9000 [4:19:38<3:26:43, 3.86s/it][Dataset] cur_step=5785 phase=C_full_covt + {'loss': '2.918', 'grad_norm': '2.761', 'learning_rate': '1.551e-05', 'epoch': '0.2081'} + 64%|███████████████████▎ | 5785/9000 [4:19:38<3:26:43, 3.86s/it] {'lm_loss': '0.9436', 'visual_loss': '3.003', 'seg_loss': '0.7428', 'dino_loss': '0.9224', 'depth_loss': '0.3524', 'vggt_mse_loss': '0.3495', 'vggt_cos_loss': '0.02911', 'pidinet_loss': '0.2622', 'siglip_loss': '0.7237', 'epoch': '0.2081'} + 64%|███████████████████▎ | 5785/9000 [4:19:41<3:26:43, 3.86s/it][Dataset] cur_step=5786 phase=C_full_covt +[Dataset] cur_step=5786 phase=C_full_covt[Dataset] cur_step=5786 phase=C_full_covt + +[Dataset] cur_step=5786 phase=C_full_covt +[Dataset] cur_step=5786 phase=C_full_covt +[Dataset] cur_step=5786 phase=C_full_covt +[Dataset] cur_step=5786 phase=C_full_covt + 64%|███████████████████▎ | 5786/9000 [4:19:43<3:53:36, 4.36s/it][Dataset] cur_step=5786 phase=C_full_covt + {'loss': '3.293', 'grad_norm': '1.927', 'learning_rate': '1.55e-05', 'epoch': '0.2082'} + 64%|███████████████████▎ | 5786/9000 [4:19:43<3:53:36, 4.36s/it] {'lm_loss': '0.8632', 'visual_loss': '2.789', 'seg_loss': '0.7337', 'dino_loss': '0.9287', 'depth_loss': '0.2359', 'vggt_mse_loss': '0.2341', 'vggt_cos_loss': '0.01713', 'pidinet_loss': '0.2627', 'siglip_loss': '0.6276', 'epoch': '0.2082'} + 64%|███████████████████▎ | 5786/9000 [4:19:47<3:53:36, 4.36s/it][Dataset] cur_step=5787 phase=C_full_covt[Dataset] cur_step=5787 phase=C_full_covt +[Dataset] cur_step=5787 phase=C_full_covt +[Dataset] cur_step=5787 phase=C_full_covt + +[Dataset] cur_step=5787 phase=C_full_covt[Dataset] cur_step=5787 phase=C_full_covt + + 64%|███████████████████▎ | 5787/9000 [4:19:47<3:44:36, 4.19s/it][Dataset] cur_step=5787 phase=C_full_covt +[Dataset] cur_step=5787 phase=C_full_covt + {'loss': '3.216', 'grad_norm': '2.21', 'learning_rate': '1.549e-05', 'epoch': '0.2082'} + 64%|███████████████████▎ | 5787/9000 [4:19:47<3:44:36, 4.19s/it] {'lm_loss': '0.8849', 'visual_loss': '2.819', 'seg_loss': '0.8301', 'dino_loss': '0.944', 'depth_loss': '0.2064', 'vggt_mse_loss': '0.2051', 'vggt_cos_loss': '0.01285', 'pidinet_loss': '0.211', 'siglip_loss': '0.6274', 'epoch': '0.2082'} + 64%|███████████████████▎ | 5787/9000 [4:19:50<3:44:36, 4.19s/it][Dataset] cur_step=5788 phase=C_full_covt +[Dataset] cur_step=5788 phase=C_full_covt +[Dataset] cur_step=5788 phase=C_full_covt +[Dataset] cur_step=5788 phase=C_full_covt +[Dataset] cur_step=5788 phase=C_full_covt +[Dataset] cur_step=5788 phase=C_full_covt +[Dataset] cur_step=5788 phase=C_full_covt +[Dataset] cur_step=5788 phase=C_full_covt + 64%|███████████████████▎ | 5788/9000 [4:19:51<3:41:58, 4.15s/it] {'loss': '3.132', 'grad_norm': '2.138', 'learning_rate': '1.548e-05', 'epoch': '0.2082'} + 64%|███████████████████▎ | 5788/9000 [4:19:51<3:41:58, 4.15s/it] {'lm_loss': '0.4321', 'visual_loss': '2.681', 'seg_loss': '0.812', 'dino_loss': '0.912', 'depth_loss': '0.1816', 'vggt_mse_loss': '0.1804', 'vggt_cos_loss': '0.01258', 'pidinet_loss': '0.205', 'siglip_loss': '0.5703', 'epoch': '0.2082'} + 64%|███████████████████▎ | 5788/9000 [4:19:54<3:41:58, 4.15s/it][Dataset] cur_step=5789 phase=C_full_covt +[Dataset] cur_step=5789 phase=C_full_covt +[Dataset] cur_step=5789 phase=C_full_covt +[Dataset] cur_step=5789 phase=C_full_covt +[Dataset] cur_step=5789 phase=C_full_covt +[Dataset] cur_step=5789 phase=C_full_covt + 64%|███████████████████▎ | 5789/9000 [4:19:55<3:39:42, 4.11s/it][Dataset] cur_step=5789 phase=C_full_covt +[Dataset] cur_step=5789 phase=C_full_covt + {'loss': '3.163', 'grad_norm': '3.103', 'learning_rate': '1.547e-05', 'epoch': '0.2083'} + 64%|███████████████████▎ | 5789/9000 [4:19:55<3:39:42, 4.11s/it] {'lm_loss': '0.4547', 'visual_loss': '2.546', 'seg_loss': '0.7152', 'dino_loss': '0.8685', 'depth_loss': '0.2037', 'vggt_mse_loss': '0.2025', 'vggt_cos_loss': '0.01218', 'pidinet_loss': '0.2364', 'siglip_loss': '0.5226', 'epoch': '0.2083'} + 64%|███████████████████▎ | 5789/9000 [4:19:58<3:39:42, 4.11s/it][Dataset] cur_step=5790 phase=C_full_covt +[Dataset] cur_step=5790 phase=C_full_covt +[Dataset] cur_step=5790 phase=C_full_covt +[Dataset] cur_step=5790 phase=C_full_covt +[Dataset] cur_step=5790 phase=C_full_covt +[Dataset] cur_step=5790 phase=C_full_covt +[Dataset] cur_step=5790 phase=C_full_covt + 64%|███████████████████▎ | 5790/9000 [4:19:59<3:41:40, 4.14s/it][Dataset] cur_step=5790 phase=C_full_covt + {'loss': '3.17', 'grad_norm': '1.957', 'learning_rate': '1.546e-05', 'epoch': '0.2083'} + 64%|███████████████████▎ | 5790/9000 [4:19:59<3:41:40, 4.14s/it] {'lm_loss': '0.301', 'visual_loss': '2.379', 'seg_loss': '0.6282', 'dino_loss': '0.9218', 'depth_loss': '0.1859', 'vggt_mse_loss': '0.1849', 'vggt_cos_loss': '0.01014', 'pidinet_loss': '0.2146', 'siglip_loss': '0.4289', 'epoch': '0.2083'} + 64%|███████████████████▎ | 5790/9000 [4:20:03<3:41:40, 4.14s/it][Dataset] cur_step=5791 phase=C_full_covt +[Dataset] cur_step=5791 phase=C_full_covt +[Dataset] cur_step=5791 phase=C_full_covt[Dataset] cur_step=5791 phase=C_full_covt + + 64%|███████████████████▎ | 5791/9000 [4:20:04<3:44:32, 4.20s/it][Dataset] cur_step=5791 phase=C_full_covt[Dataset] cur_step=5791 phase=C_full_covt + +[Dataset] cur_step=5791 phase=C_full_covt +[Dataset] cur_step=5791 phase=C_full_covt + {'loss': '3.058', 'grad_norm': '4.481', 'learning_rate': '1.546e-05', 'epoch': '0.2083'} + 64%|███████████████████▎ | 5791/9000 [4:20:04<3:44:32, 4.20s/it] {'lm_loss': '0.4723', 'visual_loss': '2.688', 'seg_loss': '0.6734', 'dino_loss': '0.916', 'depth_loss': '0.2607', 'vggt_mse_loss': '0.259', 'vggt_cos_loss': '0.01676', 'pidinet_loss': '0.2101', 'siglip_loss': '0.6281', 'epoch': '0.2083'} + 64%|███████████████████▎ | 5791/9000 [4:20:07<3:44:32, 4.20s/it][Dataset] cur_step=5792 phase=C_full_covt +[Dataset] cur_step=5792 phase=C_full_covt +[Dataset] cur_step=5792 phase=C_full_covt[Dataset] cur_step=5792 phase=C_full_covt + +[Dataset] cur_step=5792 phase=C_full_covt +[Dataset] cur_step=5792 phase=C_full_covt +[Dataset] cur_step=5792 phase=C_full_covt + 64%|███████████████████▎ | 5792/9000 [4:20:08<3:43:04, 4.17s/it][Dataset] cur_step=5792 phase=C_full_covt + {'loss': '3.105', 'grad_norm': '3.015', 'learning_rate': '1.545e-05', 'epoch': '0.2084'} + 64%|███████████████████▎ | 5792/9000 [4:20:08<3:43:04, 4.17s/it] {'lm_loss': '0.5139', 'visual_loss': '2.5', 'seg_loss': '0.6736', 'dino_loss': '0.8669', 'depth_loss': '0.1836', 'vggt_mse_loss': '0.1827', 'vggt_cos_loss': '0.00992', 'pidinet_loss': '0.2397', 'siglip_loss': '0.5366', 'epoch': '0.2084'} + 64%|███████████████████▎ | 5792/9000 [4:20:11<3:43:04, 4.17s/it][Dataset] cur_step=5793 phase=C_full_covt +[Dataset] cur_step=5793 phase=C_full_covt[Dataset] cur_step=5793 phase=C_full_covt + +[Dataset] cur_step=5793 phase=C_full_covt[Dataset] cur_step=5793 phase=C_full_covt + + 64%|███████████████████▎ | 5793/9000 [4:20:12<3:36:34, 4.05s/it][Dataset] cur_step=5793 phase=C_full_covt[Dataset] cur_step=5793 phase=C_full_covt + +[Dataset] cur_step=5793 phase=C_full_covt + {'loss': '3.034', 'grad_norm': '2.106', 'learning_rate': '1.544e-05', 'epoch': '0.2084'} + 64%|███████████████████▎ | 5793/9000 [4:20:12<3:36:34, 4.05s/it] {'lm_loss': '0.2724', 'visual_loss': '2.813', 'seg_loss': '0.735', 'dino_loss': '0.9221', 'depth_loss': '0.3003', 'vggt_mse_loss': '0.2983', 'vggt_cos_loss': '0.02057', 'pidinet_loss': '0.2763', 'siglip_loss': '0.5792', 'epoch': '0.2084'} + 64%|███████████████████▎ | 5793/9000 [4:20:15<3:36:34, 4.05s/it][Dataset] cur_step=5794 phase=C_full_covt +[Dataset] cur_step=5794 phase=C_full_covt +[Dataset] cur_step=5794 phase=C_full_covt[Dataset] cur_step=5794 phase=C_full_covt + + 64%|███████████████████▎ | 5794/9000 [4:20:16<3:37:29, 4.07s/it][Dataset] cur_step=5794 phase=C_full_covt +[Dataset] cur_step=5794 phase=C_full_covt +[Dataset] cur_step=5794 phase=C_full_covt +[Dataset] cur_step=5794 phase=C_full_covt + {'loss': '2.967', 'grad_norm': '1.549', 'learning_rate': '1.543e-05', 'epoch': '0.2084'} + 64%|███████████████████▎ | 5794/9000 [4:20:16<3:37:29, 4.07s/it] {'lm_loss': '0.5571', 'visual_loss': '2.721', 'seg_loss': '0.7054', 'dino_loss': '0.916', 'depth_loss': '0.2547', 'vggt_mse_loss': '0.2527', 'vggt_cos_loss': '0.02004', 'pidinet_loss': '0.2144', 'siglip_loss': '0.6303', 'epoch': '0.2084'} + 64%|███████████████████▎ | 5794/9000 [4:20:19<3:37:29, 4.07s/it][Dataset] cur_step=5795 phase=C_full_covt +[Dataset] cur_step=5795 phase=C_full_covt +[Dataset] cur_step=5795 phase=C_full_covt[Dataset] cur_step=5795 phase=C_full_covt[Dataset] cur_step=5795 phase=C_full_covt + + + 64%|███████████████████▎ | 5795/9000 [4:20:20<3:40:17, 4.12s/it][Dataset] cur_step=5795 phase=C_full_covt +[Dataset] cur_step=5795 phase=C_full_covt +[Dataset] cur_step=5795 phase=C_full_covt + {'loss': '2.829', 'grad_norm': '1.889', 'learning_rate': '1.542e-05', 'epoch': '0.2085'} + 64%|███████████████████▎ | 5795/9000 [4:20:20<3:40:17, 4.12s/it] {'lm_loss': '0.4165', 'visual_loss': '2.492', 'seg_loss': '0.6224', 'dino_loss': '0.8993', 'depth_loss': '0.3474', 'vggt_mse_loss': '0.3453', 'vggt_cos_loss': '0.02118', 'pidinet_loss': '0.1868', 'siglip_loss': '0.4364', 'epoch': '0.2085'} + 64%|███████████████████▎ | 5795/9000 [4:20:23<3:40:17, 4.12s/it][Dataset] cur_step=5796 phase=C_full_covt +[Dataset] cur_step=5796 phase=C_full_covt[Dataset] cur_step=5796 phase=C_full_covt + +[Dataset] cur_step=5796 phase=C_full_covt + 64%|███████████████████▎ | 5796/9000 [4:20:24<3:32:54, 3.99s/it][Dataset] cur_step=5796 phase=C_full_covt +[Dataset] cur_step=5796 phase=C_full_covt +[Dataset] cur_step=5796 phase=C_full_covt +[Dataset] cur_step=5796 phase=C_full_covt + {'loss': '3.188', 'grad_norm': '3.39', 'learning_rate': '1.541e-05', 'epoch': '0.2085'} + 64%|███████████████████▎ | 5796/9000 [4:20:24<3:32:54, 3.99s/it] {'lm_loss': '0.2985', 'visual_loss': '2.257', 'seg_loss': '0.5971', 'dino_loss': '0.8808', 'depth_loss': '0.2133', 'vggt_mse_loss': '0.2122', 'vggt_cos_loss': '0.0115', 'pidinet_loss': '0.1621', 'siglip_loss': '0.404', 'epoch': '0.2085'} + 64%|███████████████████▎ | 5796/9000 [4:20:27<3:32:54, 3.99s/it][Dataset] cur_step=5797 phase=C_full_covt +[Dataset] cur_step=5797 phase=C_full_covt +[Dataset] cur_step=5797 phase=C_full_covt + 64%|███████████████████▎ | 5797/9000 [4:20:28<3:29:43, 3.93s/it][Dataset] cur_step=5797 phase=C_full_covt +[Dataset] cur_step=5797 phase=C_full_covt[Dataset] cur_step=5797 phase=C_full_covt + +[Dataset] cur_step=5797 phase=C_full_covt +[Dataset] cur_step=5797 phase=C_full_covt + {'loss': '3.215', 'grad_norm': '8.105', 'learning_rate': '1.541e-05', 'epoch': '0.2085'} + 64%|███████████████████▎ | 5797/9000 [4:20:28<3:29:43, 3.93s/it] {'lm_loss': '0.5021', 'visual_loss': '2.476', 'seg_loss': '0.5476', 'dino_loss': '0.9345', 'depth_loss': '0.2894', 'vggt_mse_loss': '0.2875', 'vggt_cos_loss': '0.01963', 'pidinet_loss': '0.2096', 'siglip_loss': '0.495', 'epoch': '0.2085'} + 64%|███████████████████▎ | 5797/9000 [4:20:32<3:29:43, 3.93s/it][Dataset] cur_step=5798 phase=C_full_covt +[Dataset] cur_step=5798 phase=C_full_covt +[Dataset] cur_step=5798 phase=C_full_covt +[Dataset] cur_step=5798 phase=C_full_covt +[Dataset] cur_step=5798 phase=C_full_covt + 64%|███████████████████▎ | 5798/9000 [4:20:34<4:12:18, 4.73s/it][Dataset] cur_step=5798 phase=C_full_covt +[Dataset] cur_step=5798 phase=C_full_covt +[Dataset] cur_step=5798 phase=C_full_covt + {'loss': '2.917', 'grad_norm': '1.823', 'learning_rate': '1.54e-05', 'epoch': '0.2086'} + 64%|███████████████████▎ | 5798/9000 [4:20:34<4:12:18, 4.73s/it] {'lm_loss': '0.712', 'visual_loss': '2.691', 'seg_loss': '0.6785', 'dino_loss': '0.8977', 'depth_loss': '0.3392', 'vggt_mse_loss': '0.3364', 'vggt_cos_loss': '0.02788', 'pidinet_loss': '0.2732', 'siglip_loss': '0.5026', 'epoch': '0.2086'} + 64%|███████████████████▎ | 5798/9000 [4:20:38<4:12:18, 4.73s/it][Dataset] cur_step=5799 phase=C_full_covt +[Dataset] cur_step=5799 phase=C_full_covt[Dataset] cur_step=5799 phase=C_full_covt + +[Dataset] cur_step=5799 phase=C_full_covt +[Dataset] cur_step=5799 phase=C_full_covt 64%|███████████████████▎ | 5799/9000 [4:20:38<4:02:50, 4.55s/it] +[Dataset] cur_step=5799 phase=C_full_covt +[Dataset] cur_step=5799 phase=C_full_covt +[Dataset] cur_step=5799 phase=C_full_covt + {'loss': '3.137', 'grad_norm': '5.004', 'learning_rate': '1.539e-05', 'epoch': '0.2086'} + 64%|███████████████████▎ | 5799/9000 [4:20:38<4:02:50, 4.55s/it] {'lm_loss': '0.6192', 'visual_loss': '2.509', 'seg_loss': '0.652', 'dino_loss': '0.9003', 'depth_loss': '0.2403', 'vggt_mse_loss': '0.2387', 'vggt_cos_loss': '0.01607', 'pidinet_loss': '0.2221', 'siglip_loss': '0.4948', 'epoch': '0.2086'} + 64%|███████████████████▎ | 5799/9000 [4:20:42<4:02:50, 4.55s/it][Dataset] cur_step=5800 phase=C_full_covt +[Dataset] cur_step=5800 phase=C_full_covt[Dataset] cur_step=5800 phase=C_full_covt + +[Dataset] cur_step=5800 phase=C_full_covt + 64%|███████████████████▎ | 5800/9000 [4:20:42<3:54:22, 4.39s/it][Dataset] cur_step=5800 phase=C_full_covt +[Dataset] cur_step=5800 phase=C_full_covt[Dataset] cur_step=5800 phase=C_full_covt[Dataset] cur_step=5800 phase=C_full_covt + + + {'loss': '3.105', 'grad_norm': '2.247', 'learning_rate': '1.538e-05', 'epoch': '0.2087'} + 64%|███████████████████▎ | 5800/9000 [4:20:42<3:54:22, 4.39s/it] {'lm_loss': '0.349', 'visual_loss': '2.55', 'seg_loss': '0.6986', 'dino_loss': '0.8851', 'depth_loss': '0.1912', 'vggt_mse_loss': '0.19', 'vggt_cos_loss': '0.01151', 'pidinet_loss': '0.2384', 'siglip_loss': '0.5369', 'epoch': '0.2087'} + 64%|███████████████████▎ | 5800/9000 [4:20:46<3:54:22, 4.39s/it][Dataset] cur_step=5801 phase=C_full_covt +[Dataset] cur_step=5801 phase=C_full_covt +[Dataset] cur_step=5801 phase=C_full_covt + 64%|███████████████████▎ | 5801/9000 [4:20:46<3:50:38, 4.33s/it][Dataset] cur_step=5801 phase=C_full_covt +[Dataset] cur_step=5801 phase=C_full_covt +[Dataset] cur_step=5801 phase=C_full_covt +[Dataset] cur_step=5801 phase=C_full_covt +[Dataset] cur_step=5801 phase=C_full_covt + {'loss': '3.088', 'grad_norm': '2.132', 'learning_rate': '1.537e-05', 'epoch': '0.2087'} + 64%|███████████████████▎ | 5801/9000 [4:20:46<3:50:38, 4.33s/it] {'lm_loss': '0.3393', 'visual_loss': '2.731', 'seg_loss': '0.8472', 'dino_loss': '0.9013', 'depth_loss': '0.2716', 'vggt_mse_loss': '0.2698', 'vggt_cos_loss': '0.01755', 'pidinet_loss': '0.2288', 'siglip_loss': '0.4822', 'epoch': '0.2087'} + 64%|███████████████████▎ | 5801/9000 [4:20:50<3:50:38, 4.33s/it][Dataset] cur_step=5802 phase=C_full_covt +[Dataset] cur_step=5802 phase=C_full_covt[Dataset] cur_step=5802 phase=C_full_covt +[Dataset] cur_step=5802 phase=C_full_covt + +[Dataset] cur_step=5802 phase=C_full_covt 64%|███████████████████▎ | 5802/9000 [4:20:51<3:52:43, 4.37s/it] +[Dataset] cur_step=5802 phase=C_full_covt +[Dataset] cur_step=5802 phase=C_full_covt[Dataset] cur_step=5802 phase=C_full_covt + + {'loss': '3.25', 'grad_norm': '3.535', 'learning_rate': '1.536e-05', 'epoch': '0.2087'} + 64%|███████████████████▎ | 5802/9000 [4:20:51<3:52:43, 4.37s/it] {'lm_loss': '0.008433', 'visual_loss': '2.852', 'seg_loss': '0.7743', 'dino_loss': '0.9238', 'depth_loss': '0.2841', 'vggt_mse_loss': '0.2821', 'vggt_cos_loss': '0.01989', 'pidinet_loss': '0.2331', 'siglip_loss': '0.637', 'epoch': '0.2087'} + 64%|███████████████████▎ | 5802/9000 [4:20:54<3:52:43, 4.37s/it][Dataset] cur_step=5803 phase=C_full_covt +[Dataset] cur_step=5803 phase=C_full_covt +[Dataset] cur_step=5803 phase=C_full_covt[Dataset] cur_step=5803 phase=C_full_covt + +[Dataset] cur_step=5803 phase=C_full_covt[Dataset] cur_step=5803 phase=C_full_covt +[Dataset] cur_step=5803 phase=C_full_covt + +[Dataset] cur_step=5803 phase=C_full_covt + 64%|███████████████████▎ | 5803/9000 [4:20:57<4:19:34, 4.87s/it] {'loss': '3.013', 'grad_norm': '1.9', 'learning_rate': '1.535e-05', 'epoch': '0.2088'} + 64%|███████████████████▎ | 5803/9000 [4:20:57<4:19:34, 4.87s/it] {'lm_loss': '0.01178', 'visual_loss': '2.785', 'seg_loss': '0.7454', 'dino_loss': '0.9149', 'depth_loss': '0.3073', 'vggt_mse_loss': '0.3051', 'vggt_cos_loss': '0.02215', 'pidinet_loss': '0.2845', 'siglip_loss': '0.5325', 'epoch': '0.2088'} + 64%|███████████████████▎ | 5803/9000 [4:21:00<4:19:34, 4.87s/it][Dataset] cur_step=5804 phase=C_full_covt +[Dataset] cur_step=5804 phase=C_full_covt[Dataset] cur_step=5804 phase=C_full_covt + +[Dataset] cur_step=5804 phase=C_full_covt[Dataset] cur_step=5804 phase=C_full_covt + + 64%|███████████████████▎ | 5804/9000 [4:21:01<4:01:37, 4.54s/it][Dataset] cur_step=5804 phase=C_full_covt[Dataset] cur_step=5804 phase=C_full_covt + +[Dataset] cur_step=5804 phase=C_full_covt + {'loss': '3.139', 'grad_norm': '2.057', 'learning_rate': '1.535e-05', 'epoch': '0.2088'} + 64%|███████████████████▎ | 5804/9000 [4:21:01<4:01:37, 4.54s/it] {'lm_loss': '0.7137', 'visual_loss': '2.582', 'seg_loss': '0.6677', 'dino_loss': '0.8782', 'depth_loss': '0.3083', 'vggt_mse_loss': '0.3062', 'vggt_cos_loss': '0.02047', 'pidinet_loss': '0.2192', 'siglip_loss': '0.5083', 'epoch': '0.2088'} + 64%|███████████████████▎ | 5804/9000 [4:21:04<4:01:37, 4.54s/it][Dataset] cur_step=5805 phase=C_full_covt +[Dataset] cur_step=5805 phase=C_full_covt +[Dataset] cur_step=5805 phase=C_full_covt +[Dataset] cur_step=5805 phase=C_full_covt[Dataset] cur_step=5805 phase=C_full_covt + + 64%|███████████████████▎ | 5805/9000 [4:21:07<4:36:43, 5.20s/it][Dataset] cur_step=5805 phase=C_full_covt +[Dataset] cur_step=5805 phase=C_full_covt +[Dataset] cur_step=5805 phase=C_full_covt + {'loss': '3.122', 'grad_norm': '1.74', 'learning_rate': '1.534e-05', 'epoch': '0.2088'} + 64%|███████████████████▎ | 5805/9000 [4:21:07<4:36:43, 5.20s/it] {'lm_loss': '0.5285', 'visual_loss': '2.717', 'seg_loss': '0.883', 'dino_loss': '0.9193', 'depth_loss': '0.2317', 'vggt_mse_loss': '0.23', 'vggt_cos_loss': '0.01683', 'pidinet_loss': '0.174', 'siglip_loss': '0.5093', 'epoch': '0.2088'} + 64%|███████████████████▎ | 5805/9000 [4:21:10<4:36:43, 5.20s/it][Dataset] cur_step=5806 phase=C_full_covt +[Dataset] cur_step=5806 phase=C_full_covt[Dataset] cur_step=5806 phase=C_full_covt + +[Dataset] cur_step=5806 phase=C_full_covt + 65%|███████████████████▎ | 5806/9000 [4:21:14<4:55:43, 5.56s/it][Dataset] cur_step=5806 phase=C_full_covt +[Dataset] cur_step=5806 phase=C_full_covt[Dataset] cur_step=5806 phase=C_full_covt + +[Dataset] cur_step=5806 phase=C_full_covt + {'loss': '2.971', 'grad_norm': '2.375', 'learning_rate': '1.533e-05', 'epoch': '0.2089'} + 65%|███████████████████▎ | 5806/9000 [4:21:14<4:55:43, 5.56s/it] {'lm_loss': '0.4958', 'visual_loss': '2.668', 'seg_loss': '0.6029', 'dino_loss': '0.9023', 'depth_loss': '0.2636', 'vggt_mse_loss': '0.2617', 'vggt_cos_loss': '0.01907', 'pidinet_loss': '0.2333', 'siglip_loss': '0.6659', 'epoch': '0.2089'} + 65%|███████████████████▎ | 5806/9000 [4:21:17<4:55:43, 5.56s/it][Dataset] cur_step=5807 phase=C_full_covt +[Dataset] cur_step=5807 phase=C_full_covt +[Dataset] cur_step=5807 phase=C_full_covt +[Dataset] cur_step=5807 phase=C_full_covt[Dataset] cur_step=5807 phase=C_full_covt +[Dataset] cur_step=5807 phase=C_full_covt + + 65%|███████████████████▎ | 5807/9000 [4:21:18<4:31:15, 5.10s/it][Dataset] cur_step=5807 phase=C_full_covt +[Dataset] cur_step=5807 phase=C_full_covt + {'loss': '3.168', 'grad_norm': '1.812', 'learning_rate': '1.532e-05', 'epoch': '0.2089'} + 65%|███████████████████▎ | 5807/9000 [4:21:18<4:31:15, 5.10s/it] {'lm_loss': '0.4213', 'visual_loss': '2.657', 'seg_loss': '0.6871', 'dino_loss': '0.899', 'depth_loss': '0.2642', 'vggt_mse_loss': '0.2621', 'vggt_cos_loss': '0.02166', 'pidinet_loss': '0.2677', 'siglip_loss': '0.5394', 'epoch': '0.2089'} + 65%|███████████████████▎ | 5807/9000 [4:21:21<4:31:15, 5.10s/it][Dataset] cur_step=5808 phase=C_full_covt[Dataset] cur_step=5808 phase=C_full_covt + +[Dataset] cur_step=5808 phase=C_full_covt +[Dataset] cur_step=5808 phase=C_full_covt +[Dataset] cur_step=5808 phase=C_full_covt + 65%|███████████████████▎ | 5808/9000 [4:21:22<4:18:24, 4.86s/it][Dataset] cur_step=5808 phase=C_full_covt +[Dataset] cur_step=5808 phase=C_full_covt +[Dataset] cur_step=5808 phase=C_full_covt + {'loss': '2.962', 'grad_norm': '4.656', 'learning_rate': '1.531e-05', 'epoch': '0.2089'} + 65%|███████████████████▎ | 5808/9000 [4:21:22<4:18:24, 4.86s/it] {'lm_loss': '0.9222', 'visual_loss': '2.323', 'seg_loss': '0.633', 'dino_loss': '0.8849', 'depth_loss': '0.2657', 'vggt_mse_loss': '0.2646', 'vggt_cos_loss': '0.01159', 'pidinet_loss': '0.1694', 'siglip_loss': '0.3697', 'epoch': '0.2089'} + 65%|███████████████████▎ | 5808/9000 [4:21:26<4:18:24, 4.86s/it][Dataset] cur_step=5809 phase=C_full_covt +[Dataset] cur_step=5809 phase=C_full_covt + 65%|███████████████████▎ | 5809/9000 [4:21:26<4:04:45, 4.60s/it][Dataset] cur_step=5809 phase=C_full_covt +[Dataset] cur_step=5809 phase=C_full_covt +[Dataset] cur_step=5809 phase=C_full_covt[Dataset] cur_step=5809 phase=C_full_covt + +[Dataset] cur_step=5809 phase=C_full_covt +[Dataset] cur_step=5809 phase=C_full_covt + {'loss': '3.236', 'grad_norm': '2.381', 'learning_rate': '1.53e-05', 'epoch': '0.209'} + 65%|███████████████████▎ | 5809/9000 [4:21:26<4:04:45, 4.60s/it] {'lm_loss': '0.01123', 'visual_loss': '2.849', 'seg_loss': '0.7569', 'dino_loss': '0.9228', 'depth_loss': '0.2702', 'vggt_mse_loss': '0.2682', 'vggt_cos_loss': '0.02025', 'pidinet_loss': '0.2544', 'siglip_loss': '0.6444', 'epoch': '0.209'} + 65%|███████████████████▎ | 5809/9000 [4:21:29<4:04:45, 4.60s/it][Dataset] cur_step=5810 phase=C_full_covt +[Dataset] cur_step=5810 phase=C_full_covt +[Dataset] cur_step=5810 phase=C_full_covt[Dataset] cur_step=5810 phase=C_full_covt[Dataset] cur_step=5810 phase=C_full_covt + + + 65%|███████████████████▎ | 5810/9000 [4:21:30<3:54:08, 4.40s/it][Dataset] cur_step=5810 phase=C_full_covt[Dataset] cur_step=5810 phase=C_full_covt + +[Dataset] cur_step=5810 phase=C_full_covt + {'loss': '3.071', 'grad_norm': '2.223', 'learning_rate': '1.53e-05', 'epoch': '0.209'} + 65%|███████████████████▎ | 5810/9000 [4:21:30<3:54:08, 4.40s/it] {'lm_loss': '0.5558', 'visual_loss': '2.64', 'seg_loss': '0.671', 'dino_loss': '0.9022', 'depth_loss': '0.2398', 'vggt_mse_loss': '0.238', 'vggt_cos_loss': '0.01799', 'pidinet_loss': '0.1764', 'siglip_loss': '0.6504', 'epoch': '0.209'} + 65%|███████████████████▎ | 5810/9000 [4:21:33<3:54:08, 4.40s/it][Dataset] cur_step=5811 phase=C_full_covt +[Dataset] cur_step=5811 phase=C_full_covt + 65%|███████████████████▎ | 5811/9000 [4:21:36<4:19:20, 4.88s/it][Dataset] cur_step=5811 phase=C_full_covt +[Dataset] cur_step=5811 phase=C_full_covt +[Dataset] cur_step=5811 phase=C_full_covt +[Dataset] cur_step=5811 phase=C_full_covt +[Dataset] cur_step=5811 phase=C_full_covt +[Dataset] cur_step=5811 phase=C_full_covt + {'loss': '3.152', 'grad_norm': '1.816', 'learning_rate': '1.529e-05', 'epoch': '0.2091'} + 65%|███████████████████▎ | 5811/9000 [4:21:36<4:19:20, 4.88s/it] {'lm_loss': '0.5649', 'visual_loss': '2.772', 'seg_loss': '0.8478', 'dino_loss': '0.9346', 'depth_loss': '0.2691', 'vggt_mse_loss': '0.267', 'vggt_cos_loss': '0.02138', 'pidinet_loss': '0.2256', 'siglip_loss': '0.4952', 'epoch': '0.2091'} + 65%|███████████████████▎ | 5811/9000 [4:21:39<4:19:20, 4.88s/it][Dataset] cur_step=5812 phase=C_full_covt +[Dataset] cur_step=5812 phase=C_full_covt +[Dataset] cur_step=5812 phase=C_full_covt +[Dataset] cur_step=5812 phase=C_full_covt +[Dataset] cur_step=5812 phase=C_full_covt + 65%|███████████████████▎ | 5812/9000 [4:21:40<4:05:48, 4.63s/it][Dataset] cur_step=5812 phase=C_full_covt[Dataset] cur_step=5812 phase=C_full_covt + +[Dataset] cur_step=5812 phase=C_full_covt + {'loss': '3.266', 'grad_norm': '3.592', 'learning_rate': '1.528e-05', 'epoch': '0.2091'} + 65%|███████████████████▎ | 5812/9000 [4:21:40<4:05:48, 4.63s/it] {'lm_loss': '0.005511', 'visual_loss': '2.547', 'seg_loss': '0.6835', 'dino_loss': '0.9306', 'depth_loss': '0.2565', 'vggt_mse_loss': '0.2546', 'vggt_cos_loss': '0.01874', 'pidinet_loss': '0.1913', 'siglip_loss': '0.4849', 'epoch': '0.2091'} + 65%|███████████████████▎ | 5812/9000 [4:21:43<4:05:48, 4.63s/it][Dataset] cur_step=5813 phase=C_full_covt +[Dataset] cur_step=5813 phase=C_full_covt[Dataset] cur_step=5813 phase=C_full_covt + +[Dataset] cur_step=5813 phase=C_full_covt 65%|███████████████████▍ | 5813/9000 [4:21:44<3:59:42, 4.51s/it] +[Dataset] cur_step=5813 phase=C_full_covt[Dataset] cur_step=5813 phase=C_full_covt + +[Dataset] cur_step=5813 phase=C_full_covt +[Dataset] cur_step=5813 phase=C_full_covt + {'loss': '3.219', 'grad_norm': '1.56', 'learning_rate': '1.527e-05', 'epoch': '0.2091'} + 65%|███████████████████▍ | 5813/9000 [4:21:44<3:59:42, 4.51s/it] {'lm_loss': '0.5633', 'visual_loss': '2.649', 'seg_loss': '0.7879', 'dino_loss': '0.9226', 'depth_loss': '0.279', 'vggt_mse_loss': '0.2768', 'vggt_cos_loss': '0.02274', 'pidinet_loss': '0.2012', 'siglip_loss': '0.4577', 'epoch': '0.2091'} + 65%|███████████████████▍ | 5813/9000 [4:21:48<3:59:42, 4.51s/it][Dataset] cur_step=5814 phase=C_full_covt + 65%|███████████████████▍ | 5814/9000 [4:21:48<3:52:23, 4.38s/it][Dataset] cur_step=5814 phase=C_full_covt +[Dataset] cur_step=5814 phase=C_full_covt +[Dataset] cur_step=5814 phase=C_full_covt +[Dataset] cur_step=5814 phase=C_full_covt[Dataset] cur_step=5814 phase=C_full_covt + +[Dataset] cur_step=5814 phase=C_full_covt +[Dataset] cur_step=5814 phase=C_full_covt + {'loss': '2.949', 'grad_norm': '1.912', 'learning_rate': '1.526e-05', 'epoch': '0.2092'} + 65%|███████████████████▍ | 5814/9000 [4:21:48<3:52:23, 4.38s/it] {'lm_loss': '0.007584', 'visual_loss': '2.921', 'seg_loss': '0.835', 'dino_loss': '0.9228', 'depth_loss': '0.2478', 'vggt_mse_loss': '0.2461', 'vggt_cos_loss': '0.01689', 'pidinet_loss': '0.2225', 'siglip_loss': '0.6933', 'epoch': '0.2092'} + 65%|███████████████████▍ | 5814/9000 [4:21:51<3:52:23, 4.38s/it][Dataset] cur_step=5815 phase=C_full_covt +[Dataset] cur_step=5815 phase=C_full_covt +[Dataset] cur_step=5815 phase=C_full_covt +[Dataset] cur_step=5815 phase=C_full_covt +[Dataset] cur_step=5815 phase=C_full_covt + 65%|███████████████████▍ | 5815/9000 [4:21:53<3:49:07, 4.32s/it][Dataset] cur_step=5815 phase=C_full_covt +[Dataset] cur_step=5815 phase=C_full_covt +[Dataset] cur_step=5815 phase=C_full_covt + {'loss': '3.062', 'grad_norm': '4.419', 'learning_rate': '1.525e-05', 'epoch': '0.2092'} + 65%|███████████████████▍ | 5815/9000 [4:21:53<3:49:07, 4.32s/it] {'lm_loss': '0.5374', 'visual_loss': '2.651', 'seg_loss': '0.753', 'dino_loss': '0.8872', 'depth_loss': '0.1866', 'vggt_mse_loss': '0.1852', 'vggt_cos_loss': '0.01315', 'pidinet_loss': '0.2621', 'siglip_loss': '0.5624', 'epoch': '0.2092'} + 65%|███████████████████▍ | 5815/9000 [4:21:56<3:49:07, 4.32s/it][Dataset] cur_step=5816 phase=C_full_covt[Dataset] cur_step=5816 phase=C_full_covt + +[Dataset] cur_step=5816 phase=C_full_covt[Dataset] cur_step=5816 phase=C_full_covt + + 65%|███████████████████▍ | 5816/9000 [4:21:57<3:45:30, 4.25s/it][Dataset] cur_step=5816 phase=C_full_covt[Dataset] cur_step=5816 phase=C_full_covt + +[Dataset] cur_step=5816 phase=C_full_covt +[Dataset] cur_step=5816 phase=C_full_covt + {'loss': '3.054', 'grad_norm': '2.023', 'learning_rate': '1.524e-05', 'epoch': '0.2092'} + 65%|███████████████████▍ | 5816/9000 [4:21:57<3:45:30, 4.25s/it] {'lm_loss': '0.03585', 'visual_loss': '2.484', 'seg_loss': '0.6955', 'dino_loss': '0.9029', 'depth_loss': '0.2711', 'vggt_mse_loss': '0.2695', 'vggt_cos_loss': '0.01665', 'pidinet_loss': '0.1831', 'siglip_loss': '0.4317', 'epoch': '0.2092'} + 65%|███████████████████▍ | 5816/9000 [4:22:00<3:45:30, 4.25s/it][Dataset] cur_step=5817 phase=C_full_covt +[Dataset] cur_step=5817 phase=C_full_covt[Dataset] cur_step=5817 phase=C_full_covt + +[Dataset] cur_step=5817 phase=C_full_covt +[Dataset] cur_step=5817 phase=C_full_covt[Dataset] cur_step=5817 phase=C_full_covt + +[Dataset] cur_step=5817 phase=C_full_covt + 65%|███████████████████▍ | 5817/9000 [4:22:01<3:37:57, 4.11s/it][Dataset] cur_step=5817 phase=C_full_covt + {'loss': '2.945', 'grad_norm': '1.989', 'learning_rate': '1.524e-05', 'epoch': '0.2093'} + 65%|███████████████████▍ | 5817/9000 [4:22:01<3:37:57, 4.11s/it] {'lm_loss': '0.6851', 'visual_loss': '2.599', 'seg_loss': '0.6566', 'dino_loss': '0.9019', 'depth_loss': '0.1998', 'vggt_mse_loss': '0.1984', 'vggt_cos_loss': '0.01392', 'pidinet_loss': '0.2323', 'siglip_loss': '0.6085', 'epoch': '0.2093'} + 65%|███████████████████▍ | 5817/9000 [4:22:06<3:37:57, 4.11s/it][Dataset] cur_step=5818 phase=C_full_covt +[Dataset] cur_step=5818 phase=C_full_covt +[Dataset] cur_step=5818 phase=C_full_covt +[Dataset] cur_step=5818 phase=C_full_covt +[Dataset] cur_step=5818 phase=C_full_covt +[Dataset] cur_step=5818 phase=C_full_covt +[Dataset] cur_step=5818 phase=C_full_covt + 65%|███████████████████▍ | 5818/9000 [4:22:07<4:11:34, 4.74s/it][Dataset] cur_step=5818 phase=C_full_covt + {'loss': '3.376', 'grad_norm': '2.267', 'learning_rate': '1.523e-05', 'epoch': '0.2093'} + 65%|███████████████████▍ | 5818/9000 [4:22:07<4:11:34, 4.74s/it] {'lm_loss': '0.2005', 'visual_loss': '2.645', 'seg_loss': '0.7497', 'dino_loss': '0.9018', 'depth_loss': '0.3279', 'vggt_mse_loss': '0.3254', 'vggt_cos_loss': '0.02492', 'pidinet_loss': '0.1657', 'siglip_loss': '0.5', 'epoch': '0.2093'} + 65%|███████████████████▍ | 5818/9000 [4:22:10<4:11:34, 4.74s/it][Dataset] cur_step=5819 phase=C_full_covt +[Dataset] cur_step=5819 phase=C_full_covt +[Dataset] cur_step=5819 phase=C_full_covt 65%|███████████████████▍ | 5819/9000 [4:22:13<4:43:15, 5.34s/it] +[Dataset] cur_step=5819 phase=C_full_covt +[Dataset] cur_step=5819 phase=C_full_covt +[Dataset] cur_step=5819 phase=C_full_covt +[Dataset] cur_step=5819 phase=C_full_covt +[Dataset] cur_step=5819 phase=C_full_covt + {'loss': '2.745', 'grad_norm': '1.702', 'learning_rate': '1.522e-05', 'epoch': '0.2093'} + 65%|███████████████████▍ | 5819/9000 [4:22:13<4:43:15, 5.34s/it] {'lm_loss': '0.9303', 'visual_loss': '2.913', 'seg_loss': '0.7226', 'dino_loss': '0.9571', 'depth_loss': '0.461', 'vggt_mse_loss': '0.4571', 'vggt_cos_loss': '0.03943', 'pidinet_loss': '0.2468', 'siglip_loss': '0.5258', 'epoch': '0.2093'} + 65%|███████████████████▍ | 5819/9000 [4:22:17<4:43:15, 5.34s/it][Dataset] cur_step=5820 phase=C_full_covt[Dataset] cur_step=5820 phase=C_full_covt[Dataset] cur_step=5820 phase=C_full_covt + + +[Dataset] cur_step=5820 phase=C_full_covt + 65%|███████████████████▍ | 5820/9000 [4:22:17<4:20:10, 4.91s/it][Dataset] cur_step=5820 phase=C_full_covt +[Dataset] cur_step=5820 phase=C_full_covt +[Dataset] cur_step=5820 phase=C_full_covt +[Dataset] cur_step=5820 phase=C_full_covt + {'loss': '3.07', 'grad_norm': '2.264', 'learning_rate': '1.521e-05', 'epoch': '0.2094'} + 65%|███████████████████▍ | 5820/9000 [4:22:17<4:20:10, 4.91s/it] {'lm_loss': '0.4785', 'visual_loss': '2.758', 'seg_loss': '0.7497', 'dino_loss': '0.9092', 'depth_loss': '0.264', 'vggt_mse_loss': '0.2621', 'vggt_cos_loss': '0.01957', 'pidinet_loss': '0.2714', 'siglip_loss': '0.5636', 'epoch': '0.2094'} + 65%|███████████████████▍ | 5820/9000 [4:22:20<4:20:10, 4.91s/it][Dataset] cur_step=5821 phase=C_full_covt +[Dataset] cur_step=5821 phase=C_full_covt +[Dataset] cur_step=5821 phase=C_full_covt +[Dataset] cur_step=5821 phase=C_full_covt + 65%|███████████████████▍ | 5821/9000 [4:22:21<4:03:39, 4.60s/it][Dataset] cur_step=5821 phase=C_full_covt +[Dataset] cur_step=5821 phase=C_full_covt +[Dataset] cur_step=5821 phase=C_full_covt +[Dataset] cur_step=5821 phase=C_full_covt + {'loss': '3.102', 'grad_norm': '1.978', 'learning_rate': '1.52e-05', 'epoch': '0.2094'} + 65%|███████████████████▍ | 5821/9000 [4:22:21<4:03:39, 4.60s/it] {'lm_loss': '0.1768', 'visual_loss': '2.688', 'seg_loss': '0.7083', 'dino_loss': '0.8838', 'depth_loss': '0.1957', 'vggt_mse_loss': '0.1944', 'vggt_cos_loss': '0.01287', 'pidinet_loss': '0.2999', 'siglip_loss': '0.6005', 'epoch': '0.2094'} + 65%|███████████████████▍ | 5821/9000 [4:22:24<4:03:39, 4.60s/it][Dataset] cur_step=5822 phase=C_full_covt +[Dataset] cur_step=5822 phase=C_full_covt[Dataset] cur_step=5822 phase=C_full_covt + + 65%|███████████████████▍ | 5822/9000 [4:22:25<3:51:41, 4.37s/it][Dataset] cur_step=5822 phase=C_full_covt +[Dataset] cur_step=5822 phase=C_full_covt +[Dataset] cur_step=5822 phase=C_full_covt[Dataset] cur_step=5822 phase=C_full_covt + +[Dataset] cur_step=5822 phase=C_full_covt + {'loss': '3.155', 'grad_norm': '3.411', 'learning_rate': '1.519e-05', 'epoch': '0.2094'} + 65%|███████████████████▍ | 5822/9000 [4:22:25<3:51:41, 4.37s/it] {'lm_loss': '1.066', 'visual_loss': '2.679', 'seg_loss': '0.7845', 'dino_loss': '0.9184', 'depth_loss': '0.2579', 'vggt_mse_loss': '0.2558', 'vggt_cos_loss': '0.02065', 'pidinet_loss': '0.2281', 'siglip_loss': '0.4904', 'epoch': '0.2094'} + 65%|███████████████████▍ | 5822/9000 [4:22:28<3:51:41, 4.37s/it][Dataset] cur_step=5823 phase=C_full_covt[Dataset] cur_step=5823 phase=C_full_covt + +[Dataset] cur_step=5823 phase=C_full_covt + 65%|███████████████████▍ | 5823/9000 [4:22:29<3:42:25, 4.20s/it][Dataset] cur_step=5823 phase=C_full_covt +[Dataset] cur_step=5823 phase=C_full_covt +[Dataset] cur_step=5823 phase=C_full_covt +[Dataset] cur_step=5823 phase=C_full_covt +[Dataset] cur_step=5823 phase=C_full_covt + {'loss': '3.233', 'grad_norm': '1.914', 'learning_rate': '1.519e-05', 'epoch': '0.2095'} + 65%|███████████████████▍ | 5823/9000 [4:22:29<3:42:25, 4.20s/it] {'lm_loss': '0.1848', 'visual_loss': '2.536', 'seg_loss': '0.5603', 'dino_loss': '0.8908', 'depth_loss': '0.3162', 'vggt_mse_loss': '0.3139', 'vggt_cos_loss': '0.02215', 'pidinet_loss': '0.2283', 'siglip_loss': '0.5405', 'epoch': '0.2095'} + 65%|███████████████████▍ | 5823/9000 [4:22:32<3:42:25, 4.20s/it][Dataset] cur_step=5824 phase=C_full_covt +[Dataset] cur_step=5824 phase=C_full_covt[Dataset] cur_step=5824 phase=C_full_covt +[Dataset] cur_step=5824 phase=C_full_covt + +[Dataset] cur_step=5824 phase=C_full_covt +[Dataset] cur_step=5824 phase=C_full_covt +[Dataset] cur_step=5824 phase=C_full_covt + 65%|███████████████████▍ | 5824/9000 [4:22:33<3:36:05, 4.08s/it][Dataset] cur_step=5824 phase=C_full_covt + {'loss': '2.864', 'grad_norm': '1.642', 'learning_rate': '1.518e-05', 'epoch': '0.2095'} + 65%|███████████████████▍ | 5824/9000 [4:22:33<3:36:05, 4.08s/it] {'lm_loss': '0.01833', 'visual_loss': '2.325', 'seg_loss': '0.5723', 'dino_loss': '0.8925', 'depth_loss': '0.1979', 'vggt_mse_loss': '0.1967', 'vggt_cos_loss': '0.01151', 'pidinet_loss': '0.2033', 'siglip_loss': '0.4588', 'epoch': '0.2095'} + 65%|███████████████████▍ | 5824/9000 [4:22:36<3:36:05, 4.08s/it][Dataset] cur_step=5825 phase=C_full_covt +[Dataset] cur_step=5825 phase=C_full_covt + 65%|███████████████████▍ | 5825/9000 [4:22:36<3:30:56, 3.99s/it][Dataset] cur_step=5825 phase=C_full_covt +[Dataset] cur_step=5825 phase=C_full_covt +[Dataset] cur_step=5825 phase=C_full_covt +[Dataset] cur_step=5825 phase=C_full_covt +[Dataset] cur_step=5825 phase=C_full_covt +[Dataset] cur_step=5825 phase=C_full_covt + {'loss': '3.198', 'grad_norm': '2.116', 'learning_rate': '1.517e-05', 'epoch': '0.2096'} + 65%|███████████████████▍ | 5825/9000 [4:22:36<3:30:56, 3.99s/it] {'lm_loss': '0.2031', 'visual_loss': '2.747', 'seg_loss': '0.7697', 'dino_loss': '0.9017', 'depth_loss': '0.2448', 'vggt_mse_loss': '0.243', 'vggt_cos_loss': '0.01787', 'pidinet_loss': '0.2273', 'siglip_loss': '0.6029', 'epoch': '0.2096'} + 65%|███████████████████▍ | 5825/9000 [4:22:40<3:30:56, 3.99s/it][Dataset] cur_step=5826 phase=C_full_covt +[Dataset] cur_step=5826 phase=C_full_covt +[Dataset] cur_step=5826 phase=C_full_covt +[Dataset] cur_step=5826 phase=C_full_covt +[Dataset] cur_step=5826 phase=C_full_covt + 65%|███████████████████▍ | 5826/9000 [4:22:40<3:27:22, 3.92s/it][Dataset] cur_step=5826 phase=C_full_covt +[Dataset] cur_step=5826 phase=C_full_covt +[Dataset] cur_step=5826 phase=C_full_covt + {'loss': '3.19', 'grad_norm': '2.975', 'learning_rate': '1.516e-05', 'epoch': '0.2096'} + 65%|███████████████████▍ | 5826/9000 [4:22:40<3:27:22, 3.92s/it] {'lm_loss': '0.6829', 'visual_loss': '2.585', 'seg_loss': '0.6671', 'dino_loss': '0.8969', 'depth_loss': '0.2346', 'vggt_mse_loss': '0.2327', 'vggt_cos_loss': '0.0194', 'pidinet_loss': '0.2153', 'siglip_loss': '0.5714', 'epoch': '0.2096'} + 65%|███████████████████▍ | 5826/9000 [4:22:44<3:27:22, 3.92s/it][Dataset] cur_step=5827 phase=C_full_covt + 65%|███████████████████▍ | 5827/9000 [4:22:44<3:28:37, 3.94s/it][Dataset] cur_step=5827 phase=C_full_covt +[Dataset] cur_step=5827 phase=C_full_covt +[Dataset] cur_step=5827 phase=C_full_covt +[Dataset] cur_step=5827 phase=C_full_covt +[Dataset] cur_step=5827 phase=C_full_covt +[Dataset] cur_step=5827 phase=C_full_covt +[Dataset] cur_step=5827 phase=C_full_covt + {'loss': '2.845', 'grad_norm': '2.058', 'learning_rate': '1.515e-05', 'epoch': '0.2096'} + 65%|███████████████████▍ | 5827/9000 [4:22:44<3:28:37, 3.94s/it] {'lm_loss': '0.6118', 'visual_loss': '2.816', 'seg_loss': '0.6858', 'dino_loss': '0.9256', 'depth_loss': '0.2843', 'vggt_mse_loss': '0.2822', 'vggt_cos_loss': '0.02134', 'pidinet_loss': '0.2741', 'siglip_loss': '0.6465', 'epoch': '0.2096'} + 65%|███████████████████▍ | 5827/9000 [4:22:47<3:28:37, 3.94s/it][Dataset] cur_step=5828 phase=C_full_covt +[Dataset] cur_step=5828 phase=C_full_covt +[Dataset] cur_step=5828 phase=C_full_covt +[Dataset] cur_step=5828 phase=C_full_covt +[Dataset] cur_step=5828 phase=C_full_covt[Dataset] cur_step=5828 phase=C_full_covt + +[Dataset] cur_step=5828 phase=C_full_covt + 65%|███████████████████▍ | 5828/9000 [4:22:48<3:31:16, 4.00s/it][Dataset] cur_step=5828 phase=C_full_covt + {'loss': '3.02', 'grad_norm': '2.504', 'learning_rate': '1.514e-05', 'epoch': '0.2097'} + 65%|███████████████████▍ | 5828/9000 [4:22:48<3:31:16, 4.00s/it] {'lm_loss': '0.3394', 'visual_loss': '2.694', 'seg_loss': '0.7308', 'dino_loss': '0.9049', 'depth_loss': '0.1775', 'vggt_mse_loss': '0.1762', 'vggt_cos_loss': '0.01286', 'pidinet_loss': '0.3079', 'siglip_loss': '0.573', 'epoch': '0.2097'} + 65%|███████████████████▍ | 5828/9000 [4:22:52<3:31:16, 4.00s/it][Dataset] cur_step=5829 phase=C_full_covt +[Dataset] cur_step=5829 phase=C_full_covt +[Dataset] cur_step=5829 phase=C_full_covt +[Dataset] cur_step=5829 phase=C_full_covt +[Dataset] cur_step=5829 phase=C_full_covt + 65%|███████████████████▍ | 5829/9000 [4:22:52<3:31:22, 4.00s/it][Dataset] cur_step=5829 phase=C_full_covt +[Dataset] cur_step=5829 phase=C_full_covt +[Dataset] cur_step=5829 phase=C_full_covt + {'loss': '3.04', 'grad_norm': '2.184', 'learning_rate': '1.513e-05', 'epoch': '0.2097'} + 65%|███████████████████▍ | 5829/9000 [4:22:52<3:31:22, 4.00s/it] {'lm_loss': '0.5097', 'visual_loss': '2.831', 'seg_loss': '0.7626', 'dino_loss': '0.9179', 'depth_loss': '0.2552', 'vggt_mse_loss': '0.2533', 'vggt_cos_loss': '0.01851', 'pidinet_loss': '0.3014', 'siglip_loss': '0.5942', 'epoch': '0.2097'} + 65%|███████████████████▍ | 5829/9000 [4:22:55<3:31:22, 4.00s/it][Dataset] cur_step=5830 phase=C_full_covt[Dataset] cur_step=5830 phase=C_full_covt + +[Dataset] cur_step=5830 phase=C_full_covt +[Dataset] cur_step=5830 phase=C_full_covt +[Dataset] cur_step=5830 phase=C_full_covt +[Dataset] cur_step=5830 phase=C_full_covt +[Dataset] cur_step=5830 phase=C_full_covt +[Dataset] cur_step=5830 phase=C_full_covt + 65%|███████████████████▍ | 5830/9000 [4:22:56<3:33:27, 4.04s/it] {'loss': '3.057', 'grad_norm': '1.782', 'learning_rate': '1.513e-05', 'epoch': '0.2097'} + 65%|███████████████████▍ | 5830/9000 [4:22:56<3:33:27, 4.04s/it] {'lm_loss': '0.5677', 'visual_loss': '2.584', 'seg_loss': '0.6266', 'dino_loss': '0.9237', 'depth_loss': '0.2318', 'vggt_mse_loss': '0.2302', 'vggt_cos_loss': '0.01549', 'pidinet_loss': '0.2712', 'siglip_loss': '0.5307', 'epoch': '0.2097'} + 65%|███████████████████▍ | 5830/9000 [4:23:00<3:33:27, 4.04s/it][Dataset] cur_step=5831 phase=C_full_covt +[Dataset] cur_step=5831 phase=C_full_covt +[Dataset] cur_step=5831 phase=C_full_covt[Dataset] cur_step=5831 phase=C_full_covt + +[Dataset] cur_step=5831 phase=C_full_covt[Dataset] cur_step=5831 phase=C_full_covt + + 65%|███████████████████▍ | 5831/9000 [4:23:00<3:29:45, 3.97s/it][Dataset] cur_step=5831 phase=C_full_covt +[Dataset] cur_step=5831 phase=C_full_covt + {'loss': '3.203', 'grad_norm': '1.799', 'learning_rate': '1.512e-05', 'epoch': '0.2098'} + 65%|███████████████████▍ | 5831/9000 [4:23:00<3:29:45, 3.97s/it] {'lm_loss': '0.3664', 'visual_loss': '2.647', 'seg_loss': '0.6361', 'dino_loss': '0.9403', 'depth_loss': '0.2757', 'vggt_mse_loss': '0.2734', 'vggt_cos_loss': '0.0227', 'pidinet_loss': '0.2813', 'siglip_loss': '0.5137', 'epoch': '0.2098'} + 65%|███████████████████▍ | 5831/9000 [4:23:04<3:29:45, 3.97s/it][Dataset] cur_step=5832 phase=C_full_covt[Dataset] cur_step=5832 phase=C_full_covt + +[Dataset] cur_step=5832 phase=C_full_covt +[Dataset] cur_step=5832 phase=C_full_covt +[Dataset] cur_step=5832 phase=C_full_covt +[Dataset] cur_step=5832 phase=C_full_covt + 65%|███████████████████▍ | 5832/9000 [4:23:04<3:30:26, 3.99s/it][Dataset] cur_step=5832 phase=C_full_covt[Dataset] cur_step=5832 phase=C_full_covt + + {'loss': '3.075', 'grad_norm': '3.007', 'learning_rate': '1.511e-05', 'epoch': '0.2098'} + 65%|███████████████████▍ | 5832/9000 [4:23:04<3:30:26, 3.99s/it] {'lm_loss': '0.1625', 'visual_loss': '2.352', 'seg_loss': '0.5432', 'dino_loss': '0.8751', 'depth_loss': '0.1934', 'vggt_mse_loss': '0.1923', 'vggt_cos_loss': '0.01103', 'pidinet_loss': '0.265', 'siglip_loss': '0.4752', 'epoch': '0.2098'} + 65%|███████████████████▍ | 5832/9000 [4:23:08<3:30:26, 3.99s/it][Dataset] cur_step=5833 phase=C_full_covt +[Dataset] cur_step=5833 phase=C_full_covt +[Dataset] cur_step=5833 phase=C_full_covt + 65%|███████████████████▍ | 5833/9000 [4:23:09<3:33:43, 4.05s/it][Dataset] cur_step=5833 phase=C_full_covt +[Dataset] cur_step=5833 phase=C_full_covt +[Dataset] cur_step=5833 phase=C_full_covt +[Dataset] cur_step=5833 phase=C_full_covt +[Dataset] cur_step=5833 phase=C_full_covt + {'loss': '2.866', 'grad_norm': '2.184', 'learning_rate': '1.51e-05', 'epoch': '0.2098'} + 65%|███████████████████▍ | 5833/9000 [4:23:09<3:33:43, 4.05s/it] {'lm_loss': '0.4035', 'visual_loss': '2.513', 'seg_loss': '0.6673', 'dino_loss': '0.9034', 'depth_loss': '0.2332', 'vggt_mse_loss': '0.2318', 'vggt_cos_loss': '0.01457', 'pidinet_loss': '0.1789', 'siglip_loss': '0.5299', 'epoch': '0.2098'} + 65%|███████████████████▍ | 5833/9000 [4:23:12<3:33:43, 4.05s/it][Dataset] cur_step=5834 phase=C_full_covt +[Dataset] cur_step=5834 phase=C_full_covt +[Dataset] cur_step=5834 phase=C_full_covt +[Dataset] cur_step=5834 phase=C_full_covt + 65%|███████████████████▍ | 5834/9000 [4:23:12<3:29:19, 3.97s/it][Dataset] cur_step=5834 phase=C_full_covt[Dataset] cur_step=5834 phase=C_full_covt + +[Dataset] cur_step=5834 phase=C_full_covt +[Dataset] cur_step=5834 phase=C_full_covt + {'loss': '3.138', 'grad_norm': '2.545', 'learning_rate': '1.509e-05', 'epoch': '0.2099'} + 65%|███████████████████▍ | 5834/9000 [4:23:12<3:29:19, 3.97s/it] {'lm_loss': '0.5501', 'visual_loss': '2.961', 'seg_loss': '0.6808', 'dino_loss': '0.936', 'depth_loss': '0.3347', 'vggt_mse_loss': '0.3319', 'vggt_cos_loss': '0.02817', 'pidinet_loss': '0.2562', 'siglip_loss': '0.7528', 'epoch': '0.2099'} + 65%|███████████████████▍ | 5834/9000 [4:23:16<3:29:19, 3.97s/it][Dataset] cur_step=5835 phase=C_full_covt +[Dataset] cur_step=5835 phase=C_full_covt[Dataset] cur_step=5835 phase=C_full_covt + +[Dataset] cur_step=5835 phase=C_full_covt + 65%|███████████████████▍ | 5835/9000 [4:23:16<3:33:04, 4.04s/it][Dataset] cur_step=5835 phase=C_full_covt +[Dataset] cur_step=5835 phase=C_full_covt +[Dataset] cur_step=5835 phase=C_full_covt +[Dataset] cur_step=5835 phase=C_full_covt + {'loss': '3.046', 'grad_norm': '2.187', 'learning_rate': '1.508e-05', 'epoch': '0.2099'} + 65%|███████████████████▍ | 5835/9000 [4:23:16<3:33:04, 4.04s/it] {'lm_loss': '0.2854', 'visual_loss': '2.971', 'seg_loss': '0.5991', 'dino_loss': '0.9019', 'depth_loss': '0.416', 'vggt_mse_loss': '0.413', 'vggt_cos_loss': '0.03039', 'pidinet_loss': '0.324', 'siglip_loss': '0.7297', 'epoch': '0.2099'} + 65%|███████████████████▍ | 5835/9000 [4:23:20<3:33:04, 4.04s/it][Dataset] cur_step=5836 phase=C_full_covt +[Dataset] cur_step=5836 phase=C_full_covt +[Dataset] cur_step=5836 phase=C_full_covt +[Dataset] cur_step=5836 phase=C_full_covt[Dataset] cur_step=5836 phase=C_full_covt +[Dataset] cur_step=5836 phase=C_full_covt +[Dataset] cur_step=5836 phase=C_full_covt + + 65%|███████████████████▍ | 5836/9000 [4:23:20<3:30:49, 4.00s/it][Dataset] cur_step=5836 phase=C_full_covt + {'loss': '3.166', 'grad_norm': '62.59', 'learning_rate': '1.508e-05', 'epoch': '0.21'} + 65%|███████████████████▍ | 5836/9000 [4:23:20<3:30:49, 4.00s/it] {'lm_loss': '0.774', 'visual_loss': '2.758', 'seg_loss': '0.7822', 'dino_loss': '0.9134', 'depth_loss': '0.197', 'vggt_mse_loss': '0.1955', 'vggt_cos_loss': '0.01452', 'pidinet_loss': '0.3028', 'siglip_loss': '0.5624', 'epoch': '0.21'} + 65%|███████████████████▍ | 5836/9000 [4:23:24<3:30:49, 4.00s/it][Dataset] cur_step=5837 phase=C_full_covt +[Dataset] cur_step=5837 phase=C_full_covt +[Dataset] cur_step=5837 phase=C_full_covt[Dataset] cur_step=5837 phase=C_full_covt[Dataset] cur_step=5837 phase=C_full_covt + + + 65%|███████████████████▍ | 5837/9000 [4:23:24<3:30:13, 3.99s/it][Dataset] cur_step=5837 phase=C_full_covt +[Dataset] cur_step=5837 phase=C_full_covt +[Dataset] cur_step=5837 phase=C_full_covt + {'loss': '3.217', 'grad_norm': '1.987', 'learning_rate': '1.507e-05', 'epoch': '0.21'} + 65%|███████████████████▍ | 5837/9000 [4:23:24<3:30:13, 3.99s/it] {'lm_loss': '0.902', 'visual_loss': '2.764', 'seg_loss': '0.8495', 'dino_loss': '0.932', 'depth_loss': '0.2076', 'vggt_mse_loss': '0.2064', 'vggt_cos_loss': '0.01141', 'pidinet_loss': '0.2528', 'siglip_loss': '0.522', 'epoch': '0.21'} + 65%|███████████████████▍ | 5837/9000 [4:23:29<3:30:13, 3.99s/it][Dataset] cur_step=5838 phase=C_full_covt +[Dataset] cur_step=5838 phase=C_full_covt +[Dataset] cur_step=5838 phase=C_full_covt +[Dataset] cur_step=5838 phase=C_full_covt +[Dataset] cur_step=5838 phase=C_full_covt +[Dataset] cur_step=5838 phase=C_full_covt + 65%|███████████████████▍ | 5838/9000 [4:23:29<3:44:46, 4.27s/it][Dataset] cur_step=5838 phase=C_full_covt +[Dataset] cur_step=5838 phase=C_full_covt + {'loss': '3.309', 'grad_norm': '2.146', 'learning_rate': '1.506e-05', 'epoch': '0.21'} + 65%|███████████████████▍ | 5838/9000 [4:23:29<3:44:46, 4.27s/it] {'lm_loss': '0.001065', 'visual_loss': '2.578', 'seg_loss': '0.7586', 'dino_loss': '0.9195', 'depth_loss': '0.2257', 'vggt_mse_loss': '0.2242', 'vggt_cos_loss': '0.01506', 'pidinet_loss': '0.2263', 'siglip_loss': '0.4479', 'epoch': '0.21'} + 65%|███████████████████▍ | 5838/9000 [4:23:32<3:44:46, 4.27s/it][Dataset] cur_step=5839 phase=C_full_covt +[Dataset] cur_step=5839 phase=C_full_covt +[Dataset] cur_step=5839 phase=C_full_covt +[Dataset] cur_step=5839 phase=C_full_covt +[Dataset] cur_step=5839 phase=C_full_covt +[Dataset] cur_step=5839 phase=C_full_covt +[Dataset] cur_step=5839 phase=C_full_covt + 65%|███████████████████▍ | 5839/9000 [4:23:35<4:10:14, 4.75s/it][Dataset] cur_step=5839 phase=C_full_covt + {'loss': '3.093', 'grad_norm': '5.878', 'learning_rate': '1.505e-05', 'epoch': '0.2101'} + 65%|███████████████████▍ | 5839/9000 [4:23:35<4:10:14, 4.75s/it] {'lm_loss': '0.8315', 'visual_loss': '2.516', 'seg_loss': '0.6134', 'dino_loss': '0.8845', 'depth_loss': '0.1869', 'vggt_mse_loss': '0.1857', 'vggt_cos_loss': '0.01179', 'pidinet_loss': '0.1925', 'siglip_loss': '0.6383', 'epoch': '0.2101'} + 65%|███████████████████▍ | 5839/9000 [4:23:38<4:10:14, 4.75s/it][Dataset] cur_step=5840 phase=C_full_covt +[Dataset] cur_step=5840 phase=C_full_covt +[Dataset] cur_step=5840 phase=C_full_covt[Dataset] cur_step=5840 phase=C_full_covt + +[Dataset] cur_step=5840 phase=C_full_covt +[Dataset] cur_step=5840 phase=C_full_covt +[Dataset] cur_step=5840 phase=C_full_covt + 65%|███████████████████▍ | 5840/9000 [4:23:39<3:55:22, 4.47s/it][Dataset] cur_step=5840 phase=C_full_covt + {'loss': '3.095', 'grad_norm': '6.161', 'learning_rate': '1.504e-05', 'epoch': '0.2101'} + 65%|███████████████████▍ | 5840/9000 [4:23:39<3:55:22, 4.47s/it] {'lm_loss': '1.005', 'visual_loss': '2.72', 'seg_loss': '0.8033', 'dino_loss': '0.8993', 'depth_loss': '0.1952', 'vggt_mse_loss': '0.1941', 'vggt_cos_loss': '0.01146', 'pidinet_loss': '0.2442', 'siglip_loss': '0.5783', 'epoch': '0.2101'} + 65%|███████████████████▍ | 5840/9000 [4:23:42<3:55:22, 4.47s/it][Dataset] cur_step=5841 phase=C_full_covt +[Dataset] cur_step=5841 phase=C_full_covt +[Dataset] cur_step=5841 phase=C_full_covt[Dataset] cur_step=5841 phase=C_full_covt[Dataset] cur_step=5841 phase=C_full_covt[Dataset] cur_step=5841 phase=C_full_covt + +[Dataset] cur_step=5841 phase=C_full_covt + + + 65%|███████████████████▍ | 5841/9000 [4:23:43<3:46:55, 4.31s/it][Dataset] cur_step=5841 phase=C_full_covt + {'loss': '3.15', 'grad_norm': '1.765', 'learning_rate': '1.503e-05', 'epoch': '0.2101'} + 65%|███████████████████▍ | 5841/9000 [4:23:43<3:46:55, 4.31s/it] {'lm_loss': '0.2822', 'visual_loss': '2.485', 'seg_loss': '0.5429', 'dino_loss': '0.9149', 'depth_loss': '0.2003', 'vggt_mse_loss': '0.1989', 'vggt_cos_loss': '0.01451', 'pidinet_loss': '0.233', 'siglip_loss': '0.5941', 'epoch': '0.2101'} + 65%|███████████████████▍ | 5841/9000 [4:23:47<3:46:55, 4.31s/it][Dataset] cur_step=5842 phase=C_full_covt + 65%|███████████████████▍ | 5842/9000 [4:23:47<3:43:19, 4.24s/it][Dataset] cur_step=5842 phase=C_full_covt +[Dataset] cur_step=5842 phase=C_full_covt[Dataset] cur_step=5842 phase=C_full_covt + +[Dataset] cur_step=5842 phase=C_full_covt +[Dataset] cur_step=5842 phase=C_full_covt +[Dataset] cur_step=5842 phase=C_full_covt +[Dataset] cur_step=5842 phase=C_full_covt + {'loss': '3.131', 'grad_norm': '2.093', 'learning_rate': '1.502e-05', 'epoch': '0.2102'} + 65%|███████████████████▍ | 5842/9000 [4:23:47<3:43:19, 4.24s/it] {'lm_loss': '0.4539', 'visual_loss': '2.67', 'seg_loss': '0.7384', 'dino_loss': '0.9099', 'depth_loss': '0.2204', 'vggt_mse_loss': '0.219', 'vggt_cos_loss': '0.01329', 'pidinet_loss': '0.2084', 'siglip_loss': '0.5932', 'epoch': '0.2102'} + 65%|███████████████████▍ | 5842/9000 [4:23:50<3:43:19, 4.24s/it][Dataset] cur_step=5843 phase=C_full_covt +[Dataset] cur_step=5843 phase=C_full_covt +[Dataset] cur_step=5843 phase=C_full_covt +[Dataset] cur_step=5843 phase=C_full_covt +[Dataset] cur_step=5843 phase=C_full_covt +[Dataset] cur_step=5843 phase=C_full_covt +[Dataset] cur_step=5843 phase=C_full_covt + 65%|███████████████████▍ | 5843/9000 [4:23:51<3:40:57, 4.20s/it][Dataset] cur_step=5843 phase=C_full_covt + {'loss': '3.212', 'grad_norm': '3.287', 'learning_rate': '1.502e-05', 'epoch': '0.2102'} + 65%|███████████████████▍ | 5843/9000 [4:23:51<3:40:57, 4.20s/it] {'lm_loss': '0.3165', 'visual_loss': '2.715', 'seg_loss': '0.725', 'dino_loss': '0.9036', 'depth_loss': '0.2311', 'vggt_mse_loss': '0.2291', 'vggt_cos_loss': '0.01948', 'pidinet_loss': '0.2625', 'siglip_loss': '0.593', 'epoch': '0.2102'} + 65%|███████████████████▍ | 5843/9000 [4:23:55<3:40:57, 4.20s/it][Dataset] cur_step=5844 phase=C_full_covt +[Dataset] cur_step=5844 phase=C_full_covt + 65%|███████████████████▍ | 5844/9000 [4:23:55<3:36:20, 4.11s/it][Dataset] cur_step=5844 phase=C_full_covt +[Dataset] cur_step=5844 phase=C_full_covt +[Dataset] cur_step=5844 phase=C_full_covt +[Dataset] cur_step=5844 phase=C_full_covt[Dataset] cur_step=5844 phase=C_full_covt + +[Dataset] cur_step=5844 phase=C_full_covt + {'loss': '3.267', 'grad_norm': '1.502', 'learning_rate': '1.501e-05', 'epoch': '0.2102'} + 65%|███████████████████▍ | 5844/9000 [4:23:55<3:36:20, 4.11s/it] {'lm_loss': '0.8209', 'visual_loss': '2.814', 'seg_loss': '0.6789', 'dino_loss': '0.8997', 'depth_loss': '0.3558', 'vggt_mse_loss': '0.3531', 'vggt_cos_loss': '0.02741', 'pidinet_loss': '0.1864', 'siglip_loss': '0.6927', 'epoch': '0.2102'} + 65%|███████████████████▍ | 5844/9000 [4:23:58<3:36:20, 4.11s/it][Dataset] cur_step=5845 phase=C_full_covt +[Dataset] cur_step=5845 phase=C_full_covt +[Dataset] cur_step=5845 phase=C_full_covt +[Dataset] cur_step=5845 phase=C_full_covt +[Dataset] cur_step=5845 phase=C_full_covt[Dataset] cur_step=5845 phase=C_full_covt + + 65%|███████████████████▍ | 5845/9000 [4:23:59<3:38:45, 4.16s/it][Dataset] cur_step=5845 phase=C_full_covt +[Dataset] cur_step=5845 phase=C_full_covt + {'loss': '3.179', 'grad_norm': '1.809', 'learning_rate': '1.5e-05', 'epoch': '0.2103'} + 65%|███████████████████▍ | 5845/9000 [4:23:59<3:38:45, 4.16s/it] {'lm_loss': '0.4573', 'visual_loss': '2.755', 'seg_loss': '0.695', 'dino_loss': '0.9026', 'depth_loss': '0.3462', 'vggt_mse_loss': '0.3438', 'vggt_cos_loss': '0.02403', 'pidinet_loss': '0.2541', 'siglip_loss': '0.5572', 'epoch': '0.2103'} + 65%|███████████████████▍ | 5845/9000 [4:24:02<3:38:45, 4.16s/it][Dataset] cur_step=5846 phase=C_full_covt +[Dataset] cur_step=5846 phase=C_full_covt +[Dataset] cur_step=5846 phase=C_full_covt[Dataset] cur_step=5846 phase=C_full_covt + +[Dataset] cur_step=5846 phase=C_full_covt +[Dataset] cur_step=5846 phase=C_full_covt + 65%|███████████████████▍ | 5846/9000 [4:24:03<3:33:50, 4.07s/it][Dataset] cur_step=5846 phase=C_full_covt +[Dataset] cur_step=5846 phase=C_full_covt + {'loss': '3.106', 'grad_norm': '2.115', 'learning_rate': '1.499e-05', 'epoch': '0.2103'} + 65%|███████████████████▍ | 5846/9000 [4:24:03<3:33:50, 4.07s/it] {'lm_loss': '0.4341', 'visual_loss': '2.674', 'seg_loss': '0.6724', 'dino_loss': '0.9272', 'depth_loss': '0.2054', 'vggt_mse_loss': '0.2039', 'vggt_cos_loss': '0.01502', 'pidinet_loss': '0.275', 'siglip_loss': '0.5943', 'epoch': '0.2103'} + 65%|███████████████████▍ | 5846/9000 [4:24:06<3:33:50, 4.07s/it][Dataset] cur_step=5847 phase=C_full_covt +[Dataset] cur_step=5847 phase=C_full_covt +[Dataset] cur_step=5847 phase=C_full_covt +[Dataset] cur_step=5847 phase=C_full_covt +[Dataset] cur_step=5847 phase=C_full_covt + 65%|███████████████████▍ | 5847/9000 [4:24:07<3:30:20, 4.00s/it][Dataset] cur_step=5847 phase=C_full_covt +[Dataset] cur_step=5847 phase=C_full_covt +[Dataset] cur_step=5847 phase=C_full_covt + {'loss': '2.92', 'grad_norm': '4.418', 'learning_rate': '1.498e-05', 'epoch': '0.2103'} + 65%|███████████████████▍ | 5847/9000 [4:24:07<3:30:20, 4.00s/it] {'lm_loss': '0.216', 'visual_loss': '2.753', 'seg_loss': '0.7169', 'dino_loss': '0.9222', 'depth_loss': '0.1817', 'vggt_mse_loss': '0.1802', 'vggt_cos_loss': '0.01453', 'pidinet_loss': '0.2461', 'siglip_loss': '0.6864', 'epoch': '0.2103'} + 65%|███████████████████▍ | 5847/9000 [4:24:10<3:30:20, 4.00s/it][Dataset] cur_step=5848 phase=C_full_covt[Dataset] cur_step=5848 phase=C_full_covt + +[Dataset] cur_step=5848 phase=C_full_covt +[Dataset] cur_step=5848 phase=C_full_covt[Dataset] cur_step=5848 phase=C_full_covt + +[Dataset] cur_step=5848 phase=C_full_covt +[Dataset] cur_step=5848 phase=C_full_covt + 65%|███████████████████▍ | 5848/9000 [4:24:11<3:34:36, 4.09s/it][Dataset] cur_step=5848 phase=C_full_covt + {'loss': '2.953', 'grad_norm': '3.318', 'learning_rate': '1.497e-05', 'epoch': '0.2104'} + 65%|███████████████████▍ | 5848/9000 [4:24:11<3:34:36, 4.09s/it] {'lm_loss': '1.027', 'visual_loss': '2.553', 'seg_loss': '0.752', 'dino_loss': '0.9009', 'depth_loss': '0.2259', 'vggt_mse_loss': '0.2245', 'vggt_cos_loss': '0.01361', 'pidinet_loss': '0.2099', 'siglip_loss': '0.4648', 'epoch': '0.2104'} + 65%|███████████████████▍ | 5848/9000 [4:24:14<3:34:36, 4.09s/it][Dataset] cur_step=5849 phase=C_full_covt +[Dataset] cur_step=5849 phase=C_full_covt +[Dataset] cur_step=5849 phase=C_full_covt +[Dataset] cur_step=5849 phase=C_full_covt[Dataset] cur_step=5849 phase=C_full_covt + + 65%|███████████████████▍ | 5849/9000 [4:24:15<3:35:20, 4.10s/it][Dataset] cur_step=5849 phase=C_full_covt +[Dataset] cur_step=5849 phase=C_full_covt +[Dataset] cur_step=5849 phase=C_full_covt + {'loss': '3.421', 'grad_norm': '1.932', 'learning_rate': '1.497e-05', 'epoch': '0.2104'} + 65%|███████████████████▍ | 5849/9000 [4:24:15<3:35:20, 4.10s/it] {'lm_loss': '0.01435', 'visual_loss': '2.518', 'seg_loss': '0.6958', 'dino_loss': '0.8987', 'depth_loss': '0.2977', 'vggt_mse_loss': '0.2957', 'vggt_cos_loss': '0.02072', 'pidinet_loss': '0.1909', 'siglip_loss': '0.435', 'epoch': '0.2104'} + 65%|███████████████████▍ | 5849/9000 [4:24:19<3:35:20, 4.10s/it][Dataset] cur_step=5850 phase=C_full_covt +[Dataset] cur_step=5850 phase=C_full_covt +[Dataset] cur_step=5850 phase=C_full_covt +[Dataset] cur_step=5850 phase=C_full_covt[Dataset] cur_step=5850 phase=C_full_covt + + 65%|███████████████████▌ | 5850/9000 [4:24:19<3:31:48, 4.03s/it][Dataset] cur_step=5850 phase=C_full_covt +[Dataset] cur_step=5850 phase=C_full_covt +[Dataset] cur_step=5850 phase=C_full_covt + {'loss': '2.961', 'grad_norm': '27.78', 'learning_rate': '1.496e-05', 'epoch': '0.2105'} + 65%|███████████████████▌ | 5850/9000 [4:24:19<3:31:48, 4.03s/it] {'lm_loss': '0.4126', 'visual_loss': '2.695', 'seg_loss': '0.7558', 'dino_loss': '0.9097', 'depth_loss': '0.2005', 'vggt_mse_loss': '0.1993', 'vggt_cos_loss': '0.01187', 'pidinet_loss': '0.2136', 'siglip_loss': '0.6153', 'epoch': '0.2105'} + 65%|███████████████████▌ | 5850/9000 [4:24:22<3:31:48, 4.03s/it][Dataset] cur_step=5851 phase=C_full_covt +[Dataset] cur_step=5851 phase=C_full_covt[Dataset] cur_step=5851 phase=C_full_covt[Dataset] cur_step=5851 phase=C_full_covt + + +[Dataset] cur_step=5851 phase=C_full_covt +[Dataset] cur_step=5851 phase=C_full_covt +[Dataset] cur_step=5851 phase=C_full_covt 65%|███████████████████▌ | 5851/9000 [4:24:24<3:39:54, 4.19s/it] +[Dataset] cur_step=5851 phase=C_full_covt + {'loss': '2.965', 'grad_norm': '1.981', 'learning_rate': '1.495e-05', 'epoch': '0.2105'} + 65%|███████████████████▌ | 5851/9000 [4:24:24<3:39:54, 4.19s/it] {'lm_loss': '0.1742', 'visual_loss': '2.843', 'seg_loss': '0.8267', 'dino_loss': '0.8972', 'depth_loss': '0.3378', 'vggt_mse_loss': '0.3352', 'vggt_cos_loss': '0.0255', 'pidinet_loss': '0.2176', 'siglip_loss': '0.5635', 'epoch': '0.2105'} + 65%|███████████████████▌ | 5851/9000 [4:24:27<3:39:54, 4.19s/it][Dataset] cur_step=5852 phase=C_full_covt +[Dataset] cur_step=5852 phase=C_full_covt +[Dataset] cur_step=5852 phase=C_full_covt +[Dataset] cur_step=5852 phase=C_full_covt[Dataset] cur_step=5852 phase=C_full_covt + + 65%|███████████████████▌ | 5852/9000 [4:24:28<3:35:50, 4.11s/it][Dataset] cur_step=5852 phase=C_full_covt[Dataset] cur_step=5852 phase=C_full_covt + +[Dataset] cur_step=5852 phase=C_full_covt + {'loss': '2.975', 'grad_norm': '2.567', 'learning_rate': '1.494e-05', 'epoch': '0.2105'} + 65%|███████████████████▌ | 5852/9000 [4:24:28<3:35:50, 4.11s/it] {'lm_loss': '0.3684', 'visual_loss': '2.808', 'seg_loss': '0.7612', 'dino_loss': '0.9025', 'depth_loss': '0.3571', 'vggt_mse_loss': '0.3545', 'vggt_cos_loss': '0.02585', 'pidinet_loss': '0.2315', 'siglip_loss': '0.5556', 'epoch': '0.2105'} + 65%|███████████████████▌ | 5852/9000 [4:24:31<3:35:50, 4.11s/it][Dataset] cur_step=5853 phase=C_full_covt +[Dataset] cur_step=5853 phase=C_full_covt +[Dataset] cur_step=5853 phase=C_full_covt +[Dataset] cur_step=5853 phase=C_full_covt + 65%|███████████████████▌ | 5853/9000 [4:24:32<3:33:48, 4.08s/it][Dataset] cur_step=5853 phase=C_full_covt +[Dataset] cur_step=5853 phase=C_full_covt +[Dataset] cur_step=5853 phase=C_full_covt +[Dataset] cur_step=5853 phase=C_full_covt + {'loss': '3.124', 'grad_norm': '2.199', 'learning_rate': '1.493e-05', 'epoch': '0.2106'} + 65%|███████████████████▌ | 5853/9000 [4:24:32<3:33:48, 4.08s/it] {'lm_loss': '0.7234', 'visual_loss': '2.569', 'seg_loss': '0.7453', 'dino_loss': '0.9222', 'depth_loss': '0.2366', 'vggt_mse_loss': '0.2348', 'vggt_cos_loss': '0.01873', 'pidinet_loss': '0.2128', 'siglip_loss': '0.4519', 'epoch': '0.2106'} + 65%|███████████████████▌ | 5853/9000 [4:24:35<3:33:48, 4.08s/it][Dataset] cur_step=5854 phase=C_full_covt[Dataset] cur_step=5854 phase=C_full_covt + +[Dataset] cur_step=5854 phase=C_full_covt +[Dataset] cur_step=5854 phase=C_full_covt[Dataset] cur_step=5854 phase=C_full_covt + +[Dataset] cur_step=5854 phase=C_full_covt[Dataset] cur_step=5854 phase=C_full_covt + +[Dataset] cur_step=5854 phase=C_full_covt 65%|███████████████████▌ | 5854/9000 [4:24:36<3:37:17, 4.14s/it] + {'loss': '3.145', 'grad_norm': '10.69', 'learning_rate': '1.492e-05', 'epoch': '0.2106'} + 65%|███████████████████▌ | 5854/9000 [4:24:36<3:37:17, 4.14s/it] {'lm_loss': '0.7525', 'visual_loss': '2.725', 'seg_loss': '0.7592', 'dino_loss': '0.9184', 'depth_loss': '0.2249', 'vggt_mse_loss': '0.2234', 'vggt_cos_loss': '0.01483', 'pidinet_loss': '0.2214', 'siglip_loss': '0.601', 'epoch': '0.2106'} + 65%|███████████████████▌ | 5854/9000 [4:24:40<3:37:17, 4.14s/it][Dataset] cur_step=5855 phase=C_full_covt +[Dataset] cur_step=5855 phase=C_full_covt +[Dataset] cur_step=5855 phase=C_full_covt +[Dataset] cur_step=5855 phase=C_full_covt + 65%|███████████████████▌ | 5855/9000 [4:24:40<3:40:28, 4.21s/it][Dataset] cur_step=5855 phase=C_full_covt +[Dataset] cur_step=5855 phase=C_full_covt +[Dataset] cur_step=5855 phase=C_full_covt[Dataset] cur_step=5855 phase=C_full_covt + + {'loss': '3.153', 'grad_norm': '3.01', 'learning_rate': '1.492e-05', 'epoch': '0.2106'} + 65%|███████████████████▌ | 5855/9000 [4:24:40<3:40:28, 4.21s/it] {'lm_loss': '0.3601', 'visual_loss': '2.673', 'seg_loss': '0.7384', 'dino_loss': '0.9121', 'depth_loss': '0.1892', 'vggt_mse_loss': '0.1879', 'vggt_cos_loss': '0.01344', 'pidinet_loss': '0.2788', 'siglip_loss': '0.5544', 'epoch': '0.2106'} + 65%|███████████████████▌ | 5855/9000 [4:24:43<3:40:28, 4.21s/it][Dataset] cur_step=5856 phase=C_full_covt +[Dataset] cur_step=5856 phase=C_full_covt[Dataset] cur_step=5856 phase=C_full_covt + +[Dataset] cur_step=5856 phase=C_full_covt +[Dataset] cur_step=5856 phase=C_full_covt +[Dataset] cur_step=5856 phase=C_full_covt[Dataset] cur_step=5856 phase=C_full_covt + +[Dataset] cur_step=5856 phase=C_full_covt + 65%|███████████████████▌ | 5856/9000 [4:24:45<3:41:45, 4.23s/it] {'loss': '3.152', 'grad_norm': '1.926', 'learning_rate': '1.491e-05', 'epoch': '0.2107'} + 65%|███████████████████▌ | 5856/9000 [4:24:45<3:41:45, 4.23s/it] {'lm_loss': '0.724', 'visual_loss': '2.9', 'seg_loss': '0.7133', 'dino_loss': '0.9258', 'depth_loss': '0.3826', 'vggt_mse_loss': '0.3797', 'vggt_cos_loss': '0.02858', 'pidinet_loss': '0.2148', 'siglip_loss': '0.6634', 'epoch': '0.2107'} + 65%|███████████████████▌ | 5856/9000 [4:24:48<3:41:45, 4.23s/it][Dataset] cur_step=5857 phase=C_full_covt +[Dataset] cur_step=5857 phase=C_full_covt +[Dataset] cur_step=5857 phase=C_full_covt +[Dataset] cur_step=5857 phase=C_full_covt +[Dataset] cur_step=5857 phase=C_full_covt[Dataset] cur_step=5857 phase=C_full_covt[Dataset] cur_step=5857 phase=C_full_covt + + +[Dataset] cur_step=5857 phase=C_full_covt + 65%|███████████████████▌ | 5857/9000 [4:24:49<3:40:25, 4.21s/it] {'loss': '3.336', 'grad_norm': '1.734', 'learning_rate': '1.49e-05', 'epoch': '0.2107'} + 65%|███████████████████▌ | 5857/9000 [4:24:49<3:40:25, 4.21s/it] {'lm_loss': '0.2125', 'visual_loss': '2.763', 'seg_loss': '0.704', 'dino_loss': '0.9172', 'depth_loss': '0.2737', 'vggt_mse_loss': '0.2713', 'vggt_cos_loss': '0.02341', 'pidinet_loss': '0.2043', 'siglip_loss': '0.6637', 'epoch': '0.2107'} + 65%|███████████████████▌ | 5857/9000 [4:24:52<3:40:25, 4.21s/it][Dataset] cur_step=5858 phase=C_full_covt +[Dataset] cur_step=5858 phase=C_full_covt +[Dataset] cur_step=5858 phase=C_full_covt[Dataset] cur_step=5858 phase=C_full_covt + +[Dataset] cur_step=5858 phase=C_full_covt +[Dataset] cur_step=5858 phase=C_full_covt +[Dataset] cur_step=5858 phase=C_full_covt + 65%|███████████████████▌ | 5858/9000 [4:24:55<4:10:58, 4.79s/it][Dataset] cur_step=5858 phase=C_full_covt + {'loss': '3.339', 'grad_norm': '1.389', 'learning_rate': '1.489e-05', 'epoch': '0.2107'} + 65%|███████████████████▌ | 5858/9000 [4:24:55<4:10:58, 4.79s/it] {'lm_loss': '0.5219', 'visual_loss': '2.491', 'seg_loss': '0.7447', 'dino_loss': '0.8851', 'depth_loss': '0.2209', 'vggt_mse_loss': '0.2197', 'vggt_cos_loss': '0.01239', 'pidinet_loss': '0.1436', 'siglip_loss': '0.4969', 'epoch': '0.2107'} + 65%|███████████████████▌ | 5858/9000 [4:24:58<4:10:58, 4.79s/it][Dataset] cur_step=5859 phase=C_full_covt[Dataset] cur_step=5859 phase=C_full_covt + + 65%|███████████████████▌ | 5859/9000 [4:24:59<3:55:01, 4.49s/it][Dataset] cur_step=5859 phase=C_full_covt +[Dataset] cur_step=5859 phase=C_full_covt +[Dataset] cur_step=5859 phase=C_full_covt +[Dataset] cur_step=5859 phase=C_full_covt +[Dataset] cur_step=5859 phase=C_full_covt +[Dataset] cur_step=5859 phase=C_full_covt + {'loss': '3.057', 'grad_norm': '6.148', 'learning_rate': '1.488e-05', 'epoch': '0.2108'} + 65%|███████████████████▌ | 5859/9000 [4:24:59<3:55:01, 4.49s/it] {'lm_loss': '0.01577', 'visual_loss': '2.45', 'seg_loss': '0.6309', 'dino_loss': '0.8932', 'depth_loss': '0.3226', 'vggt_mse_loss': '0.3202', 'vggt_cos_loss': '0.02407', 'pidinet_loss': '0.2193', 'siglip_loss': '0.3839', 'epoch': '0.2108'} + 65%|███████████████████▌ | 5859/9000 [4:25:02<3:55:01, 4.49s/it][Dataset] cur_step=5860 phase=C_full_covt +[Dataset] cur_step=5860 phase=C_full_covt +[Dataset] cur_step=5860 phase=C_full_covt[Dataset] cur_step=5860 phase=C_full_covt + +[Dataset] cur_step=5860 phase=C_full_covt 65%|███████████████████▌ | 5860/9000 [4:25:03<3:49:43, 4.39s/it] +[Dataset] cur_step=5860 phase=C_full_covt +[Dataset] cur_step=5860 phase=C_full_covt +[Dataset] cur_step=5860 phase=C_full_covt + {'loss': '2.813', 'grad_norm': '3.075', 'learning_rate': '1.487e-05', 'epoch': '0.2108'} + 65%|███████████████████▌ | 5860/9000 [4:25:03<3:49:43, 4.39s/it] {'lm_loss': '0.4181', 'visual_loss': '2.857', 'seg_loss': '0.7399', 'dino_loss': '0.9431', 'depth_loss': '0.2159', 'vggt_mse_loss': '0.2145', 'vggt_cos_loss': '0.01445', 'pidinet_loss': '0.2321', 'siglip_loss': '0.7263', 'epoch': '0.2108'} + 65%|███████████████████▌ | 5860/9000 [4:25:06<3:49:43, 4.39s/it][Dataset] cur_step=5861 phase=C_full_covt +[Dataset] cur_step=5861 phase=C_full_covt[Dataset] cur_step=5861 phase=C_full_covt + +[Dataset] cur_step=5861 phase=C_full_covt +[Dataset] cur_step=5861 phase=C_full_covt + 65%|███████████████████▌ | 5861/9000 [4:25:07<3:44:00, 4.28s/it][Dataset] cur_step=5861 phase=C_full_covt +[Dataset] cur_step=5861 phase=C_full_covt +[Dataset] cur_step=5861 phase=C_full_covt + {'loss': '3.027', 'grad_norm': '3.321', 'learning_rate': '1.487e-05', 'epoch': '0.2109'} + 65%|███████████████████▌ | 5861/9000 [4:25:07<3:44:00, 4.28s/it] {'lm_loss': '0.5995', 'visual_loss': '2.824', 'seg_loss': '0.7806', 'dino_loss': '0.9207', 'depth_loss': '0.2497', 'vggt_mse_loss': '0.2478', 'vggt_cos_loss': '0.01866', 'pidinet_loss': '0.2017', 'siglip_loss': '0.6709', 'epoch': '0.2109'} + 65%|███████████████████▌ | 5861/9000 [4:25:10<3:44:00, 4.28s/it][Dataset] cur_step=5862 phase=C_full_covt[Dataset] cur_step=5862 phase=C_full_covt + +[Dataset] cur_step=5862 phase=C_full_covt[Dataset] cur_step=5862 phase=C_full_covt +[Dataset] cur_step=5862 phase=C_full_covt[Dataset] cur_step=5862 phase=C_full_covt + + +[Dataset] cur_step=5862 phase=C_full_covt + 65%|███████████████████▌ | 5862/9000 [4:25:11<3:38:57, 4.19s/it][Dataset] cur_step=5862 phase=C_full_covt + {'loss': '3.126', 'grad_norm': '2.245', 'learning_rate': '1.486e-05', 'epoch': '0.2109'} + 65%|███████████████████▌ | 5862/9000 [4:25:11<3:38:57, 4.19s/it] {'lm_loss': '0.3165', 'visual_loss': '2.669', 'seg_loss': '0.7284', 'dino_loss': '0.9107', 'depth_loss': '0.2496', 'vggt_mse_loss': '0.248', 'vggt_cos_loss': '0.01691', 'pidinet_loss': '0.1835', 'siglip_loss': '0.5965', 'epoch': '0.2109'} + 65%|███████████████████▌ | 5862/9000 [4:25:14<3:38:57, 4.19s/it][Dataset] cur_step=5863 phase=C_full_covt +[Dataset] cur_step=5863 phase=C_full_covt +[Dataset] cur_step=5863 phase=C_full_covt + 65%|███████████████████▌ | 5863/9000 [4:25:15<3:33:26, 4.08s/it][Dataset] cur_step=5863 phase=C_full_covt +[Dataset] cur_step=5863 phase=C_full_covt[Dataset] cur_step=5863 phase=C_full_covt + +[Dataset] cur_step=5863 phase=C_full_covt +[Dataset] cur_step=5863 phase=C_full_covt + {'loss': '2.938', 'grad_norm': '2.714', 'learning_rate': '1.485e-05', 'epoch': '0.2109'} + 65%|███████████████████▌ | 5863/9000 [4:25:15<3:33:26, 4.08s/it] {'lm_loss': '0.3494', 'visual_loss': '2.811', 'seg_loss': '0.7565', 'dino_loss': '0.9296', 'depth_loss': '0.313', 'vggt_mse_loss': '0.3107', 'vggt_cos_loss': '0.0237', 'pidinet_loss': '0.2843', 'siglip_loss': '0.5271', 'epoch': '0.2109'} + 65%|███████████████████▌ | 5863/9000 [4:25:18<3:33:26, 4.08s/it][Dataset] cur_step=5864 phase=C_full_covt +[Dataset] cur_step=5864 phase=C_full_covt +[Dataset] cur_step=5864 phase=C_full_covt +[Dataset] cur_step=5864 phase=C_full_covt + 65%|███████████████████▌ | 5864/9000 [4:25:19<3:33:03, 4.08s/it][Dataset] cur_step=5864 phase=C_full_covt +[Dataset] cur_step=5864 phase=C_full_covt +[Dataset] cur_step=5864 phase=C_full_covt +[Dataset] cur_step=5864 phase=C_full_covt + {'loss': '3.074', 'grad_norm': '16.91', 'learning_rate': '1.484e-05', 'epoch': '0.211'} + 65%|███████████████████▌ | 5864/9000 [4:25:19<3:33:03, 4.08s/it] {'lm_loss': '0.1899', 'visual_loss': '2.862', 'seg_loss': '0.7643', 'dino_loss': '0.8945', 'depth_loss': '0.2701', 'vggt_mse_loss': '0.2683', 'vggt_cos_loss': '0.01845', 'pidinet_loss': '0.2818', 'siglip_loss': '0.6511', 'epoch': '0.211'} + 65%|███████████████████▌ | 5864/9000 [4:25:22<3:33:03, 4.08s/it][Dataset] cur_step=5865 phase=C_full_covt +[Dataset] cur_step=5865 phase=C_full_covt +[Dataset] cur_step=5865 phase=C_full_covt +[Dataset] cur_step=5865 phase=C_full_covt +[Dataset] cur_step=5865 phase=C_full_covt +[Dataset] cur_step=5865 phase=C_full_covt +[Dataset] cur_step=5865 phase=C_full_covt +[Dataset] cur_step=5865 phase=C_full_covt + 65%|███████████████████▌ | 5865/9000 [4:25:23<3:28:54, 4.00s/it] {'loss': '3.1', 'grad_norm': '3.013', 'learning_rate': '1.483e-05', 'epoch': '0.211'} + 65%|███████████████████▌ | 5865/9000 [4:25:23<3:28:54, 4.00s/it] {'lm_loss': '0.7859', 'visual_loss': '2.776', 'seg_loss': '0.7645', 'dino_loss': '0.9184', 'depth_loss': '0.1812', 'vggt_mse_loss': '0.1799', 'vggt_cos_loss': '0.01339', 'pidinet_loss': '0.2475', 'siglip_loss': '0.6648', 'epoch': '0.211'} + 65%|███████████████████▌ | 5865/9000 [4:25:26<3:28:54, 4.00s/it][Dataset] cur_step=5866 phase=C_full_covt +[Dataset] cur_step=5866 phase=C_full_covt[Dataset] cur_step=5866 phase=C_full_covt[Dataset] cur_step=5866 phase=C_full_covt + + +[Dataset] cur_step=5866 phase=C_full_covt + 65%|███████████████████▌ | 5866/9000 [4:25:30<4:15:55, 4.90s/it][Dataset] cur_step=5866 phase=C_full_covt +[Dataset] cur_step=5866 phase=C_full_covt +[Dataset] cur_step=5866 phase=C_full_covt + {'loss': '3.097', 'grad_norm': '2.512', 'learning_rate': '1.482e-05', 'epoch': '0.211'} + 65%|███████████████████▌ | 5866/9000 [4:25:30<4:15:55, 4.90s/it] {'lm_loss': '0.38', 'visual_loss': '2.02', 'seg_loss': '0.5514', 'dino_loss': '0.8574', 'depth_loss': '0.18', 'vggt_mse_loss': '0.1792', 'vggt_cos_loss': '0.00764', 'pidinet_loss': '0.1051', 'siglip_loss': '0.3257', 'epoch': '0.211'} + 65%|███████████████████▌ | 5866/9000 [4:25:34<4:15:55, 4.90s/it][Dataset] cur_step=5867 phase=C_full_covt +[Dataset] cur_step=5867 phase=C_full_covt +[Dataset] cur_step=5867 phase=C_full_covt + 65%|███████████████████▌ | 5867/9000 [4:25:34<4:12:31, 4.84s/it][Dataset] cur_step=5867 phase=C_full_covt[Dataset] cur_step=5867 phase=C_full_covt +[Dataset] cur_step=5867 phase=C_full_covt + +[Dataset] cur_step=5867 phase=C_full_covt +[Dataset] cur_step=5867 phase=C_full_covt + {'loss': '3.146', 'grad_norm': '2.142', 'learning_rate': '1.481e-05', 'epoch': '0.2111'} + 65%|███████████████████▌ | 5867/9000 [4:25:34<4:12:31, 4.84s/it] {'lm_loss': '0.6005', 'visual_loss': '2.675', 'seg_loss': '0.5834', 'dino_loss': '0.9136', 'depth_loss': '0.2291', 'vggt_mse_loss': '0.2275', 'vggt_cos_loss': '0.01561', 'pidinet_loss': '0.3016', 'siglip_loss': '0.6471', 'epoch': '0.2111'} + 65%|███████████████████▌ | 5867/9000 [4:25:38<4:12:31, 4.84s/it][Dataset] cur_step=5868 phase=C_full_covt +[Dataset] cur_step=5868 phase=C_full_covt +[Dataset] cur_step=5868 phase=C_full_covt[Dataset] cur_step=5868 phase=C_full_covt + +[Dataset] cur_step=5868 phase=C_full_covt +[Dataset] cur_step=5868 phase=C_full_covt +[Dataset] cur_step=5868 phase=C_full_covt[Dataset] cur_step=5868 phase=C_full_covt + + 65%|███████████████████▌ | 5868/9000 [4:25:38<3:55:10, 4.51s/it] {'loss': '3.496', 'grad_norm': '2.754', 'learning_rate': '1.481e-05', 'epoch': '0.2111'} + 65%|███████████████████▌ | 5868/9000 [4:25:38<3:55:10, 4.51s/it] {'lm_loss': '0.8547', 'visual_loss': '2.766', 'seg_loss': '0.7508', 'dino_loss': '0.9281', 'depth_loss': '0.234', 'vggt_mse_loss': '0.2322', 'vggt_cos_loss': '0.01807', 'pidinet_loss': '0.2395', 'siglip_loss': '0.6132', 'epoch': '0.2111'} + 65%|███████████████████▌ | 5868/9000 [4:25:41<3:55:10, 4.51s/it][Dataset] cur_step=5869 phase=C_full_covt +[Dataset] cur_step=5869 phase=C_full_covt[Dataset] cur_step=5869 phase=C_full_covt + +[Dataset] cur_step=5869 phase=C_full_covt +[Dataset] cur_step=5869 phase=C_full_covt +[Dataset] cur_step=5869 phase=C_full_covt +[Dataset] cur_step=5869 phase=C_full_covt[Dataset] cur_step=5869 phase=C_full_covt + + 65%|███████████████████▌ | 5869/9000 [4:25:42<3:44:31, 4.30s/it] {'loss': '3.121', 'grad_norm': '1.904', 'learning_rate': '1.48e-05', 'epoch': '0.2111'} + 65%|███████████████████▌ | 5869/9000 [4:25:42<3:44:31, 4.30s/it] {'lm_loss': '0.5757', 'visual_loss': '2.656', 'seg_loss': '0.6611', 'dino_loss': '0.9104', 'depth_loss': '0.2837', 'vggt_mse_loss': '0.2812', 'vggt_cos_loss': '0.02515', 'pidinet_loss': '0.2118', 'siglip_loss': '0.5888', 'epoch': '0.2111'} + 65%|███████████████████▌ | 5869/9000 [4:25:46<3:44:31, 4.30s/it][Dataset] cur_step=5870 phase=C_full_covt +[Dataset] cur_step=5870 phase=C_full_covt + 65%|███████████████████▌ | 5870/9000 [4:25:46<3:42:34, 4.27s/it][Dataset] cur_step=5870 phase=C_full_covt[Dataset] cur_step=5870 phase=C_full_covt + +[Dataset] cur_step=5870 phase=C_full_covt +[Dataset] cur_step=5870 phase=C_full_covt +[Dataset] cur_step=5870 phase=C_full_covt +[Dataset] cur_step=5870 phase=C_full_covt + {'loss': '3.166', 'grad_norm': '2.816', 'learning_rate': '1.479e-05', 'epoch': '0.2112'} + 65%|███████████████████▌ | 5870/9000 [4:25:46<3:42:34, 4.27s/it] {'lm_loss': '0.2293', 'visual_loss': '2.494', 'seg_loss': '0.6481', 'dino_loss': '0.9048', 'depth_loss': '0.2051', 'vggt_mse_loss': '0.2039', 'vggt_cos_loss': '0.01242', 'pidinet_loss': '0.1805', 'siglip_loss': '0.5558', 'epoch': '0.2112'} + 65%|███████████████████▌ | 5870/9000 [4:25:50<3:42:34, 4.27s/it][Dataset] cur_step=5871 phase=C_full_covt +[Dataset] cur_step=5871 phase=C_full_covt +[Dataset] cur_step=5871 phase=C_full_covt +[Dataset] cur_step=5871 phase=C_full_covt +[Dataset] cur_step=5871 phase=C_full_covt +[Dataset] cur_step=5871 phase=C_full_covt +[Dataset] cur_step=5871 phase=C_full_covt + 65%|███████████████████▌ | 5871/9000 [4:25:50<3:37:39, 4.17s/it][Dataset] cur_step=5871 phase=C_full_covt + {'loss': '3.206', 'grad_norm': '4.243', 'learning_rate': '1.478e-05', 'epoch': '0.2112'} + 65%|███████████████████▌ | 5871/9000 [4:25:50<3:37:39, 4.17s/it] {'lm_loss': '0.6271', 'visual_loss': '2.644', 'seg_loss': '0.63', 'dino_loss': '0.9052', 'depth_loss': '0.2989', 'vggt_mse_loss': '0.2967', 'vggt_cos_loss': '0.02177', 'pidinet_loss': '0.2099', 'siglip_loss': '0.6', 'epoch': '0.2112'} + 65%|███████████████████▌ | 5871/9000 [4:25:53<3:37:39, 4.17s/it][Dataset] cur_step=5872 phase=C_full_covt +[Dataset] cur_step=5872 phase=C_full_covt[Dataset] cur_step=5872 phase=C_full_covt + +[Dataset] cur_step=5872 phase=C_full_covt + 65%|███████████████████▌ | 5872/9000 [4:25:54<3:34:23, 4.11s/it][Dataset] cur_step=5872 phase=C_full_covt[Dataset] cur_step=5872 phase=C_full_covt + +[Dataset] cur_step=5872 phase=C_full_covt +[Dataset] cur_step=5872 phase=C_full_covt + {'loss': '3.196', 'grad_norm': '3.679', 'learning_rate': '1.477e-05', 'epoch': '0.2112'} + 65%|███████████████████▌ | 5872/9000 [4:25:54<3:34:23, 4.11s/it] {'lm_loss': '0.4207', 'visual_loss': '2.772', 'seg_loss': '0.6481', 'dino_loss': '0.9281', 'depth_loss': '0.1977', 'vggt_mse_loss': '0.1963', 'vggt_cos_loss': '0.01338', 'pidinet_loss': '0.2528', 'siglip_loss': '0.7455', 'epoch': '0.2112'} + 65%|███████████████████▌ | 5872/9000 [4:25:57<3:34:23, 4.11s/it][Dataset] cur_step=5873 phase=C_full_covt +[Dataset] cur_step=5873 phase=C_full_covt +[Dataset] cur_step=5873 phase=C_full_covt +[Dataset] cur_step=5873 phase=C_full_covt +[Dataset] cur_step=5873 phase=C_full_covt + 65%|███████████████████▌ | 5873/9000 [4:26:01<4:13:04, 4.86s/it][Dataset] cur_step=5873 phase=C_full_covt +[Dataset] cur_step=5873 phase=C_full_covt +[Dataset] cur_step=5873 phase=C_full_covt + {'loss': '3.182', 'grad_norm': '2.144', 'learning_rate': '1.476e-05', 'epoch': '0.2113'} + 65%|███████████████████▌ | 5873/9000 [4:26:01<4:13:04, 4.86s/it] {'lm_loss': '0.3644', 'visual_loss': '2.35', 'seg_loss': '0.6269', 'dino_loss': '0.9052', 'depth_loss': '0.1991', 'vggt_mse_loss': '0.1979', 'vggt_cos_loss': '0.01184', 'pidinet_loss': '0.1415', 'siglip_loss': '0.4776', 'epoch': '0.2113'} + 65%|███████████████████▌ | 5873/9000 [4:26:04<4:13:04, 4.86s/it][Dataset] cur_step=5874 phase=C_full_covt + 65%|███████████████████▌ | 5874/9000 [4:26:05<4:03:27, 4.67s/it][Dataset] cur_step=5874 phase=C_full_covt +[Dataset] cur_step=5874 phase=C_full_covt +[Dataset] cur_step=5874 phase=C_full_covt +[Dataset] cur_step=5874 phase=C_full_covt +[Dataset] cur_step=5874 phase=C_full_covt +[Dataset] cur_step=5874 phase=C_full_covt +[Dataset] cur_step=5874 phase=C_full_covt + {'loss': '3.086', 'grad_norm': '2.162', 'learning_rate': '1.476e-05', 'epoch': '0.2113'} + 65%|███████████████████▌ | 5874/9000 [4:26:05<4:03:27, 4.67s/it] {'lm_loss': '0.9097', 'visual_loss': '2.587', 'seg_loss': '0.708', 'dino_loss': '0.9137', 'depth_loss': '0.1811', 'vggt_mse_loss': '0.1798', 'vggt_cos_loss': '0.0128', 'pidinet_loss': '0.2399', 'siglip_loss': '0.5439', 'epoch': '0.2113'} + 65%|███████████████████▌ | 5874/9000 [4:26:08<4:03:27, 4.67s/it][Dataset] cur_step=5875 phase=C_full_covt +[Dataset] cur_step=5875 phase=C_full_covt +[Dataset] cur_step=5875 phase=C_full_covt + 65%|███████████████████▌ | 5875/9000 [4:26:11<4:24:03, 5.07s/it][Dataset] cur_step=5875 phase=C_full_covt +[Dataset] cur_step=5875 phase=C_full_covt +[Dataset] cur_step=5875 phase=C_full_covt +[Dataset] cur_step=5875 phase=C_full_covt +[Dataset] cur_step=5875 phase=C_full_covt + {'loss': '3.256', 'grad_norm': '1.829', 'learning_rate': '1.475e-05', 'epoch': '0.2114'} + 65%|███████████████████▌ | 5875/9000 [4:26:11<4:24:03, 5.07s/it] {'lm_loss': '0.254', 'visual_loss': '2.627', 'seg_loss': '0.8016', 'dino_loss': '0.9094', 'depth_loss': '0.1996', 'vggt_mse_loss': '0.1984', 'vggt_cos_loss': '0.01232', 'pidinet_loss': '0.2582', 'siglip_loss': '0.4586', 'epoch': '0.2114'} + 65%|███████████████████▌ | 5875/9000 [4:26:14<4:24:03, 5.07s/it][Dataset] cur_step=5876 phase=C_full_covt +[Dataset] cur_step=5876 phase=C_full_covt +[Dataset] cur_step=5876 phase=C_full_covt[Dataset] cur_step=5876 phase=C_full_covt + +[Dataset] cur_step=5876 phase=C_full_covt[Dataset] cur_step=5876 phase=C_full_covt + + 65%|███████████████████▌ | 5876/9000 [4:26:15<4:12:13, 4.84s/it][Dataset] cur_step=5876 phase=C_full_covt +[Dataset] cur_step=5876 phase=C_full_covt + {'loss': '3.043', 'grad_norm': '1.498', 'learning_rate': '1.474e-05', 'epoch': '0.2114'} + 65%|███████████████████▌ | 5876/9000 [4:26:15<4:12:13, 4.84s/it] {'lm_loss': '0.849', 'visual_loss': '2.659', 'seg_loss': '0.6757', 'dino_loss': '0.915', 'depth_loss': '0.3956', 'vggt_mse_loss': '0.3917', 'vggt_cos_loss': '0.03827', 'pidinet_loss': '0.2301', 'siglip_loss': '0.4427', 'epoch': '0.2114'} + 65%|███████████████████▌ | 5876/9000 [4:26:18<4:12:13, 4.84s/it][Dataset] cur_step=5877 phase=C_full_covt +[Dataset] cur_step=5877 phase=C_full_covt +[Dataset] cur_step=5877 phase=C_full_covt + 65%|███████████████████▌ | 5877/9000 [4:26:19<3:59:29, 4.60s/it][Dataset] cur_step=5877 phase=C_full_covt +[Dataset] cur_step=5877 phase=C_full_covt +[Dataset] cur_step=5877 phase=C_full_covt[Dataset] cur_step=5877 phase=C_full_covt + +[Dataset] cur_step=5877 phase=C_full_covt + {'loss': '3.265', 'grad_norm': '4.637', 'learning_rate': '1.473e-05', 'epoch': '0.2114'} + 65%|███████████████████▌ | 5877/9000 [4:26:19<3:59:29, 4.60s/it] {'lm_loss': '0.02488', 'visual_loss': '2.586', 'seg_loss': '0.6546', 'dino_loss': '0.8887', 'depth_loss': '0.2155', 'vggt_mse_loss': '0.2137', 'vggt_cos_loss': '0.01801', 'pidinet_loss': '0.2909', 'siglip_loss': '0.5363', 'epoch': '0.2114'} + 65%|███████████████████▌ | 5877/9000 [4:26:22<3:59:29, 4.60s/it][Dataset] cur_step=5878 phase=C_full_covt +[Dataset] cur_step=5878 phase=C_full_covt +[Dataset] cur_step=5878 phase=C_full_covt +[Dataset] cur_step=5878 phase=C_full_covt +[Dataset] cur_step=5878 phase=C_full_covt[Dataset] cur_step=5878 phase=C_full_covt + +[Dataset] cur_step=5878 phase=C_full_covt + 65%|███████████████████▌ | 5878/9000 [4:26:23<3:50:50, 4.44s/it][Dataset] cur_step=5878 phase=C_full_covt + {'loss': '2.937', 'grad_norm': '3.727', 'learning_rate': '1.472e-05', 'epoch': '0.2115'} + 65%|███████████████████▌ | 5878/9000 [4:26:23<3:50:50, 4.44s/it] {'lm_loss': '0.1626', 'visual_loss': '2.747', 'seg_loss': '0.6495', 'dino_loss': '0.937', 'depth_loss': '0.2735', 'vggt_mse_loss': '0.2717', 'vggt_cos_loss': '0.01866', 'pidinet_loss': '0.1868', 'siglip_loss': '0.6996', 'epoch': '0.2115'} + 65%|███████████████████▌ | 5878/9000 [4:26:29<3:50:50, 4.44s/it][Dataset] cur_step=5879 phase=C_full_covt +[Dataset] cur_step=5879 phase=C_full_covt + 65%|███████████████████▌ | 5879/9000 [4:26:30<4:24:08, 5.08s/it][Dataset] cur_step=5879 phase=C_full_covt +[Dataset] cur_step=5879 phase=C_full_covt[Dataset] cur_step=5879 phase=C_full_covt + +[Dataset] cur_step=5879 phase=C_full_covt +[Dataset] cur_step=5879 phase=C_full_covt +[Dataset] cur_step=5879 phase=C_full_covt + {'loss': '3.203', 'grad_norm': '2.605', 'learning_rate': '1.471e-05', 'epoch': '0.2115'} + 65%|███████████████████▌ | 5879/9000 [4:26:30<4:24:08, 5.08s/it] {'lm_loss': '0.5994', 'visual_loss': '2.755', 'seg_loss': '0.6793', 'dino_loss': '0.8998', 'depth_loss': '0.3762', 'vggt_mse_loss': '0.3734', 'vggt_cos_loss': '0.02823', 'pidinet_loss': '0.2421', 'siglip_loss': '0.5573', 'epoch': '0.2115'} + 65%|███████████████████▌ | 5879/9000 [4:26:33<4:24:08, 5.08s/it][Dataset] cur_step=5880 phase=C_full_covt +[Dataset] cur_step=5880 phase=C_full_covt +[Dataset] cur_step=5880 phase=C_full_covt +[Dataset] cur_step=5880 phase=C_full_covt +[Dataset] cur_step=5880 phase=C_full_covt +[Dataset] cur_step=5880 phase=C_full_covt + 65%|███████████████████▌ | 5880/9000 [4:26:34<4:09:17, 4.79s/it][Dataset] cur_step=5880 phase=C_full_covt[Dataset] cur_step=5880 phase=C_full_covt + + {'loss': '3.045', 'grad_norm': '1.909', 'learning_rate': '1.471e-05', 'epoch': '0.2115'} + 65%|███████████████████▌ | 5880/9000 [4:26:34<4:09:17, 4.79s/it] {'lm_loss': '0.003551', 'visual_loss': '2.558', 'seg_loss': '0.7143', 'dino_loss': '0.9165', 'depth_loss': '0.29', 'vggt_mse_loss': '0.2881', 'vggt_cos_loss': '0.01949', 'pidinet_loss': '0.2093', 'siglip_loss': '0.4278', 'epoch': '0.2115'} + 65%|███████████████████▌ | 5880/9000 [4:26:37<4:09:17, 4.79s/it][Dataset] cur_step=5881 phase=C_full_covt +[Dataset] cur_step=5881 phase=C_full_covt +[Dataset] cur_step=5881 phase=C_full_covt 65%|███████████████████▌ | 5881/9000 [4:26:38<3:53:14, 4.49s/it] +[Dataset] cur_step=5881 phase=C_full_covt +[Dataset] cur_step=5881 phase=C_full_covt[Dataset] cur_step=5881 phase=C_full_covt + +[Dataset] cur_step=5881 phase=C_full_covt[Dataset] cur_step=5881 phase=C_full_covt + + {'loss': '3.109', 'grad_norm': '2.115', 'learning_rate': '1.47e-05', 'epoch': '0.2116'} + 65%|███████████████████▌ | 5881/9000 [4:26:38<3:53:14, 4.49s/it] {'lm_loss': '0.4263', 'visual_loss': '2.493', 'seg_loss': '0.7008', 'dino_loss': '0.8943', 'depth_loss': '0.232', 'vggt_mse_loss': '0.2308', 'vggt_cos_loss': '0.01218', 'pidinet_loss': '0.211', 'siglip_loss': '0.4553', 'epoch': '0.2116'} + 65%|███████████████████▌ | 5881/9000 [4:26:41<3:53:14, 4.49s/it][Dataset] cur_step=5882 phase=C_full_covt +[Dataset] cur_step=5882 phase=C_full_covt +[Dataset] cur_step=5882 phase=C_full_covt +[Dataset] cur_step=5882 phase=C_full_covt +[Dataset] cur_step=5882 phase=C_full_covt[Dataset] cur_step=5882 phase=C_full_covt + +[Dataset] cur_step=5882 phase=C_full_covt + 65%|███████████████████▌ | 5882/9000 [4:26:41<3:41:39, 4.27s/it][Dataset] cur_step=5882 phase=C_full_covt + {'loss': '2.992', 'grad_norm': '3.791', 'learning_rate': '1.469e-05', 'epoch': '0.2116'} + 65%|███████████████████▌ | 5882/9000 [4:26:41<3:41:39, 4.27s/it] {'lm_loss': '0.833', 'visual_loss': '2.872', 'seg_loss': '0.8339', 'dino_loss': '0.9381', 'depth_loss': '0.2591', 'vggt_mse_loss': '0.2571', 'vggt_cos_loss': '0.02048', 'pidinet_loss': '0.2316', 'siglip_loss': '0.6094', 'epoch': '0.2116'} + 65%|███████████████████▌ | 5882/9000 [4:26:44<3:41:39, 4.27s/it][Dataset] cur_step=5883 phase=C_full_covt +[Dataset] cur_step=5883 phase=C_full_covt +[Dataset] cur_step=5883 phase=C_full_covt +[Dataset] cur_step=5883 phase=C_full_covt +[Dataset] cur_step=5883 phase=C_full_covt + 65%|███████████████████▌ | 5883/9000 [4:26:47<4:08:47, 4.79s/it][Dataset] cur_step=5883 phase=C_full_covt +[Dataset] cur_step=5883 phase=C_full_covt +[Dataset] cur_step=5883 phase=C_full_covt + {'loss': '3.309', 'grad_norm': '1.852', 'learning_rate': '1.468e-05', 'epoch': '0.2116'} + 65%|███████████████████▌ | 5883/9000 [4:26:47<4:08:47, 4.79s/it] {'lm_loss': '0.6054', 'visual_loss': '2.859', 'seg_loss': '0.8183', 'dino_loss': '0.9257', 'depth_loss': '0.2741', 'vggt_mse_loss': '0.2718', 'vggt_cos_loss': '0.02316', 'pidinet_loss': '0.2334', 'siglip_loss': '0.6078', 'epoch': '0.2116'} + 65%|███████████████████▌ | 5883/9000 [4:26:50<4:08:47, 4.79s/it][Dataset] cur_step=5884 phase=C_full_covt +[Dataset] cur_step=5884 phase=C_full_covt +[Dataset] cur_step=5884 phase=C_full_covt +[Dataset] cur_step=5884 phase=C_full_covt +[Dataset] cur_step=5884 phase=C_full_covt +[Dataset] cur_step=5884 phase=C_full_covt[Dataset] cur_step=5884 phase=C_full_covt + + 65%|███████████████████▌ | 5884/9000 [4:26:52<4:05:06, 4.72s/it][Dataset] cur_step=5884 phase=C_full_covt + {'loss': '3.109', 'grad_norm': '2.061', 'learning_rate': '1.467e-05', 'epoch': '0.2117'} + 65%|███████████████████▌ | 5884/9000 [4:26:52<4:05:06, 4.72s/it] {'lm_loss': '0.2347', 'visual_loss': '2.817', 'seg_loss': '0.7536', 'dino_loss': '0.9265', 'depth_loss': '0.2275', 'vggt_mse_loss': '0.2259', 'vggt_cos_loss': '0.01545', 'pidinet_loss': '0.2483', 'siglip_loss': '0.6616', 'epoch': '0.2117'} + 65%|███████████████████▌ | 5884/9000 [4:26:55<4:05:06, 4.72s/it][Dataset] cur_step=5885 phase=C_full_covt +[Dataset] cur_step=5885 phase=C_full_covt +[Dataset] cur_step=5885 phase=C_full_covt +[Dataset] cur_step=5885 phase=C_full_covt +[Dataset] cur_step=5885 phase=C_full_covt +[Dataset] cur_step=5885 phase=C_full_covt[Dataset] cur_step=5885 phase=C_full_covt + + 65%|███████████████████▌ | 5885/9000 [4:26:56<3:52:59, 4.49s/it][Dataset] cur_step=5885 phase=C_full_covt + {'loss': '2.942', 'grad_norm': '2.068', 'learning_rate': '1.466e-05', 'epoch': '0.2117'} + 65%|███████████████████▌ | 5885/9000 [4:26:56<3:52:59, 4.49s/it] {'lm_loss': '0.6022', 'visual_loss': '2.56', 'seg_loss': '0.7407', 'dino_loss': '0.929', 'depth_loss': '0.2859', 'vggt_mse_loss': '0.2841', 'vggt_cos_loss': '0.01787', 'pidinet_loss': '0.2461', 'siglip_loss': '0.3583', 'epoch': '0.2117'} + 65%|███████████████████▌ | 5885/9000 [4:26:59<3:52:59, 4.49s/it][Dataset] cur_step=5886 phase=C_full_covt +[Dataset] cur_step=5886 phase=C_full_covt +[Dataset] cur_step=5886 phase=C_full_covt +[Dataset] cur_step=5886 phase=C_full_covt + 65%|███████████████████▌ | 5886/9000 [4:27:00<3:43:49, 4.31s/it][Dataset] cur_step=5886 phase=C_full_covt +[Dataset] cur_step=5886 phase=C_full_covt +[Dataset] cur_step=5886 phase=C_full_covt[Dataset] cur_step=5886 phase=C_full_covt + + {'loss': '3.051', 'grad_norm': '2.455', 'learning_rate': '1.466e-05', 'epoch': '0.2117'} + 65%|███████████████████▌ | 5886/9000 [4:27:00<3:43:49, 4.31s/it] {'lm_loss': '0.02959', 'visual_loss': '2.676', 'seg_loss': '0.7853', 'dino_loss': '0.9081', 'depth_loss': '0.2422', 'vggt_mse_loss': '0.2402', 'vggt_cos_loss': '0.01983', 'pidinet_loss': '0.2034', 'siglip_loss': '0.5374', 'epoch': '0.2117'} + 65%|███████████████████▌ | 5886/9000 [4:27:03<3:43:49, 4.31s/it][Dataset] cur_step=5887 phase=C_full_covt +[Dataset] cur_step=5887 phase=C_full_covt +[Dataset] cur_step=5887 phase=C_full_covt +[Dataset] cur_step=5887 phase=C_full_covt +[Dataset] cur_step=5887 phase=C_full_covt +[Dataset] cur_step=5887 phase=C_full_covt + 65%|███████████████████▌ | 5887/9000 [4:27:04<3:38:28, 4.21s/it][Dataset] cur_step=5887 phase=C_full_covt +[Dataset] cur_step=5887 phase=C_full_covt + {'loss': '2.973', 'grad_norm': '1.963', 'learning_rate': '1.465e-05', 'epoch': '0.2118'} + 65%|███████████████████▌ | 5887/9000 [4:27:04<3:38:28, 4.21s/it] {'lm_loss': '0.806', 'visual_loss': '2.801', 'seg_loss': '0.767', 'dino_loss': '0.9255', 'depth_loss': '0.2983', 'vggt_mse_loss': '0.2962', 'vggt_cos_loss': '0.02131', 'pidinet_loss': '0.2316', 'siglip_loss': '0.5787', 'epoch': '0.2118'} + 65%|███████████████████▌ | 5887/9000 [4:27:07<3:38:28, 4.21s/it][Dataset] cur_step=5888 phase=C_full_covt +[Dataset] cur_step=5888 phase=C_full_covt +[Dataset] cur_step=5888 phase=C_full_covt[Dataset] cur_step=5888 phase=C_full_covt + + 65%|███████████████████▋ | 5888/9000 [4:27:08<3:32:36, 4.10s/it][Dataset] cur_step=5888 phase=C_full_covt +[Dataset] cur_step=5888 phase=C_full_covt +[Dataset] cur_step=5888 phase=C_full_covt +[Dataset] cur_step=5888 phase=C_full_covt + {'loss': '3.071', 'grad_norm': '2.663', 'learning_rate': '1.464e-05', 'epoch': '0.2118'} + 65%|███████████████████▋ | 5888/9000 [4:27:08<3:32:36, 4.10s/it] {'lm_loss': '0.5698', 'visual_loss': '2.641', 'seg_loss': '0.748', 'dino_loss': '0.9115', 'depth_loss': '0.1966', 'vggt_mse_loss': '0.1953', 'vggt_cos_loss': '0.01307', 'pidinet_loss': '0.2565', 'siglip_loss': '0.5281', 'epoch': '0.2118'} + 65%|███████████████████▋ | 5888/9000 [4:27:11<3:32:36, 4.10s/it][Dataset] cur_step=5889 phase=C_full_covt +[Dataset] cur_step=5889 phase=C_full_covt +[Dataset] cur_step=5889 phase=C_full_covt +[Dataset] cur_step=5889 phase=C_full_covt +[Dataset] cur_step=5889 phase=C_full_covt +[Dataset] cur_step=5889 phase=C_full_covt +[Dataset] cur_step=5889 phase=C_full_covt +[Dataset] cur_step=5889 phase=C_full_covt + 65%|███████████████████▋ | 5889/9000 [4:27:12<3:29:41, 4.04s/it] {'loss': '3.018', 'grad_norm': '1.849', 'learning_rate': '1.463e-05', 'epoch': '0.2119'} + 65%|███████████████████▋ | 5889/9000 [4:27:12<3:29:41, 4.04s/it] {'lm_loss': '0.03999', 'visual_loss': '2.837', 'seg_loss': '0.7728', 'dino_loss': '0.8985', 'depth_loss': '0.2188', 'vggt_mse_loss': '0.2174', 'vggt_cos_loss': '0.01411', 'pidinet_loss': '0.3043', 'siglip_loss': '0.6426', 'epoch': '0.2119'} + 65%|███████████████████▋ | 5889/9000 [4:27:15<3:29:41, 4.04s/it][Dataset] cur_step=5890 phase=C_full_covt +[Dataset] cur_step=5890 phase=C_full_covt +[Dataset] cur_step=5890 phase=C_full_covt +[Dataset] cur_step=5890 phase=C_full_covt +[Dataset] cur_step=5890 phase=C_full_covt[Dataset] cur_step=5890 phase=C_full_covt + +[Dataset] cur_step=5890 phase=C_full_covt + 65%|███████████████████▋ | 5890/9000 [4:27:16<3:29:30, 4.04s/it][Dataset] cur_step=5890 phase=C_full_covt + {'loss': '2.75', 'grad_norm': '2.585', 'learning_rate': '1.462e-05', 'epoch': '0.2119'} + 65%|███████████████████▋ | 5890/9000 [4:27:16<3:29:30, 4.04s/it] {'lm_loss': '0.004024', 'visual_loss': '2.373', 'seg_loss': '0.551', 'dino_loss': '0.9002', 'depth_loss': '0.1912', 'vggt_mse_loss': '0.1899', 'vggt_cos_loss': '0.01279', 'pidinet_loss': '0.1786', 'siglip_loss': '0.5525', 'epoch': '0.2119'} + 65%|███████████████████▋ | 5890/9000 [4:27:22<3:29:30, 4.04s/it][Dataset] cur_step=5891 phase=C_full_covt +[Dataset] cur_step=5891 phase=C_full_covt +[Dataset] cur_step=5891 phase=C_full_covt + 65%|███████████████████▋ | 5891/9000 [4:27:22<4:03:51, 4.71s/it][Dataset] cur_step=5891 phase=C_full_covt +[Dataset] cur_step=5891 phase=C_full_covt[Dataset] cur_step=5891 phase=C_full_covt + +[Dataset] cur_step=5891 phase=C_full_covt +[Dataset] cur_step=5891 phase=C_full_covt + {'loss': '3.027', 'grad_norm': '1.296', 'learning_rate': '1.461e-05', 'epoch': '0.2119'} + 65%|███████████████████▋ | 5891/9000 [4:27:22<4:03:51, 4.71s/it] {'lm_loss': '0.582', 'visual_loss': '2.808', 'seg_loss': '0.8352', 'dino_loss': '0.9239', 'depth_loss': '0.2379', 'vggt_mse_loss': '0.2365', 'vggt_cos_loss': '0.01454', 'pidinet_loss': '0.2363', 'siglip_loss': '0.5745', 'epoch': '0.2119'} + 65%|███████████████████▋ | 5891/9000 [4:27:25<4:03:51, 4.71s/it][Dataset] cur_step=5892 phase=C_full_covt +[Dataset] cur_step=5892 phase=C_full_covt +[Dataset] cur_step=5892 phase=C_full_covt +[Dataset] cur_step=5892 phase=C_full_covt +[Dataset] cur_step=5892 phase=C_full_covt + 65%|███████████████████▋ | 5892/9000 [4:27:26<3:53:16, 4.50s/it][Dataset] cur_step=5892 phase=C_full_covt +[Dataset] cur_step=5892 phase=C_full_covt +[Dataset] cur_step=5892 phase=C_full_covt + {'loss': '3.126', 'grad_norm': '3.007', 'learning_rate': '1.461e-05', 'epoch': '0.212'} + 65%|███████████████████▋ | 5892/9000 [4:27:26<3:53:16, 4.50s/it] {'lm_loss': '0.003518', 'visual_loss': '2.482', 'seg_loss': '0.6543', 'dino_loss': '0.9176', 'depth_loss': '0.2225', 'vggt_mse_loss': '0.2209', 'vggt_cos_loss': '0.01595', 'pidinet_loss': '0.1658', 'siglip_loss': '0.5218', 'epoch': '0.212'} + 65%|███████████████████▋ | 5892/9000 [4:27:29<3:53:16, 4.50s/it][Dataset] cur_step=5893 phase=C_full_covt +[Dataset] cur_step=5893 phase=C_full_covt +[Dataset] cur_step=5893 phase=C_full_covt +[Dataset] cur_step=5893 phase=C_full_covt[Dataset] cur_step=5893 phase=C_full_covt +[Dataset] cur_step=5893 phase=C_full_covt + + 65%|███████████████████▋ | 5893/9000 [4:27:30<3:42:15, 4.29s/it][Dataset] cur_step=5893 phase=C_full_covt +[Dataset] cur_step=5893 phase=C_full_covt + {'loss': '3.102', 'grad_norm': '2.331', 'learning_rate': '1.46e-05', 'epoch': '0.212'} + 65%|███████████████████▋ | 5893/9000 [4:27:30<3:42:15, 4.29s/it] {'lm_loss': '0.8162', 'visual_loss': '2.668', 'seg_loss': '0.6098', 'dino_loss': '0.9197', 'depth_loss': '0.2486', 'vggt_mse_loss': '0.2468', 'vggt_cos_loss': '0.01805', 'pidinet_loss': '0.2503', 'siglip_loss': '0.6397', 'epoch': '0.212'} + 65%|███████████████████▋ | 5893/9000 [4:27:33<3:42:15, 4.29s/it][Dataset] cur_step=5894 phase=C_full_covt +[Dataset] cur_step=5894 phase=C_full_covt +[Dataset] cur_step=5894 phase=C_full_covt +[Dataset] cur_step=5894 phase=C_full_covt 65%|███████████████████▋ | 5894/9000 [4:27:34<3:40:06, 4.25s/it] +[Dataset] cur_step=5894 phase=C_full_covt +[Dataset] cur_step=5894 phase=C_full_covt +[Dataset] cur_step=5894 phase=C_full_covt +[Dataset] cur_step=5894 phase=C_full_covt + {'loss': '3.25', 'grad_norm': '1.437', 'learning_rate': '1.459e-05', 'epoch': '0.212'} + 65%|███████████████████▋ | 5894/9000 [4:27:34<3:40:06, 4.25s/it] {'lm_loss': '0.02985', 'visual_loss': '2.822', 'seg_loss': '0.7333', 'dino_loss': '0.9139', 'depth_loss': '0.2559', 'vggt_mse_loss': '0.254', 'vggt_cos_loss': '0.01857', 'pidinet_loss': '0.2674', 'siglip_loss': '0.6511', 'epoch': '0.212'} + 65%|███████████████████▋ | 5894/9000 [4:27:37<3:40:06, 4.25s/it][Dataset] cur_step=5895 phase=C_full_covt +[Dataset] cur_step=5895 phase=C_full_covt +[Dataset] cur_step=5895 phase=C_full_covt +[Dataset] cur_step=5895 phase=C_full_covt +[Dataset] cur_step=5895 phase=C_full_covt +[Dataset] cur_step=5895 phase=C_full_covt + 66%|███████████████████▋ | 5895/9000 [4:27:38<3:39:49, 4.25s/it][Dataset] cur_step=5895 phase=C_full_covt +[Dataset] cur_step=5895 phase=C_full_covt + {'loss': '2.981', 'grad_norm': '3.329', 'learning_rate': '1.458e-05', 'epoch': '0.2121'} + 66%|███████████████████▋ | 5895/9000 [4:27:38<3:39:49, 4.25s/it] {'lm_loss': '0.4157', 'visual_loss': '2.978', 'seg_loss': '0.7392', 'dino_loss': '0.892', 'depth_loss': '0.3326', 'vggt_mse_loss': '0.3304', 'vggt_cos_loss': '0.022', 'pidinet_loss': '0.2761', 'siglip_loss': '0.7382', 'epoch': '0.2121'} + 66%|███████████████████▋ | 5895/9000 [4:27:42<3:39:49, 4.25s/it][Dataset] cur_step=5896 phase=C_full_covt +[Dataset] cur_step=5896 phase=C_full_covt[Dataset] cur_step=5896 phase=C_full_covt + +[Dataset] cur_step=5896 phase=C_full_covt[Dataset] cur_step=5896 phase=C_full_covt + + 66%|███████████████████▋ | 5896/9000 [4:27:42<3:38:52, 4.23s/it][Dataset] cur_step=5896 phase=C_full_covt +[Dataset] cur_step=5896 phase=C_full_covt +[Dataset] cur_step=5896 phase=C_full_covt + {'loss': '3.072', 'grad_norm': '1.951', 'learning_rate': '1.457e-05', 'epoch': '0.2121'} + 66%|███████████████████▋ | 5896/9000 [4:27:42<3:38:52, 4.23s/it] {'lm_loss': '0.3846', 'visual_loss': '2.744', 'seg_loss': '0.822', 'dino_loss': '0.9068', 'depth_loss': '0.227', 'vggt_mse_loss': '0.2254', 'vggt_cos_loss': '0.01623', 'pidinet_loss': '0.235', 'siglip_loss': '0.5533', 'epoch': '0.2121'} + 66%|███████████████████▋ | 5896/9000 [4:27:46<3:38:52, 4.23s/it][Dataset] cur_step=5897 phase=C_full_covt +[Dataset] cur_step=5897 phase=C_full_covt +[Dataset] cur_step=5897 phase=C_full_covt +[Dataset] cur_step=5897 phase=C_full_covt +[Dataset] cur_step=5897 phase=C_full_covt +[Dataset] cur_step=5897 phase=C_full_covt +[Dataset] cur_step=5897 phase=C_full_covt + 66%|███████████████████▋ | 5897/9000 [4:27:46<3:36:04, 4.18s/it][Dataset] cur_step=5897 phase=C_full_covt + {'loss': '2.979', 'grad_norm': '2.009', 'learning_rate': '1.456e-05', 'epoch': '0.2121'} + 66%|███████████████████▋ | 5897/9000 [4:27:46<3:36:04, 4.18s/it] {'lm_loss': '0.001718', 'visual_loss': '2.454', 'seg_loss': '0.7235', 'dino_loss': '0.8995', 'depth_loss': '0.2909', 'vggt_mse_loss': '0.2888', 'vggt_cos_loss': '0.02097', 'pidinet_loss': '0.1421', 'siglip_loss': '0.3981', 'epoch': '0.2121'} + 66%|███████████████████▋ | 5897/9000 [4:27:51<3:36:04, 4.18s/it][Dataset] cur_step=5898 phase=C_full_covt +[Dataset] cur_step=5898 phase=C_full_covt[Dataset] cur_step=5898 phase=C_full_covt + + 66%|███████████████████▋ | 5898/9000 [4:27:51<3:41:36, 4.29s/it][Dataset] cur_step=5898 phase=C_full_covt +[Dataset] cur_step=5898 phase=C_full_covt +[Dataset] cur_step=5898 phase=C_full_covt +[Dataset] cur_step=5898 phase=C_full_covt +[Dataset] cur_step=5898 phase=C_full_covt + {'loss': '2.962', 'grad_norm': '2.089', 'learning_rate': '1.456e-05', 'epoch': '0.2122'} + 66%|███████████████████▋ | 5898/9000 [4:27:51<3:41:36, 4.29s/it] {'lm_loss': '0.8109', 'visual_loss': '2.739', 'seg_loss': '0.6252', 'dino_loss': '0.938', 'depth_loss': '0.2036', 'vggt_mse_loss': '0.2022', 'vggt_cos_loss': '0.01409', 'pidinet_loss': '0.1934', 'siglip_loss': '0.779', 'epoch': '0.2122'} + 66%|███████████████████▋ | 5898/9000 [4:27:55<3:41:36, 4.29s/it][Dataset] cur_step=5899 phase=C_full_covt +[Dataset] cur_step=5899 phase=C_full_covt +[Dataset] cur_step=5899 phase=C_full_covt[Dataset] cur_step=5899 phase=C_full_covt +[Dataset] cur_step=5899 phase=C_full_covt + + 66%|███████████████████▋ | 5899/9000 [4:27:55<3:39:58, 4.26s/it][Dataset] cur_step=5899 phase=C_full_covt[Dataset] cur_step=5899 phase=C_full_covt + +[Dataset] cur_step=5899 phase=C_full_covt + {'loss': '2.885', 'grad_norm': '1.65', 'learning_rate': '1.455e-05', 'epoch': '0.2122'} + 66%|███████████████████▋ | 5899/9000 [4:27:55<3:39:58, 4.26s/it] {'lm_loss': '0.3253', 'visual_loss': '2.578', 'seg_loss': '0.6588', 'dino_loss': '0.8942', 'depth_loss': '0.1736', 'vggt_mse_loss': '0.1724', 'vggt_cos_loss': '0.01253', 'pidinet_loss': '0.2413', 'siglip_loss': '0.6101', 'epoch': '0.2122'} + 66%|███████████████████▋ | 5899/9000 [4:27:58<3:39:58, 4.26s/it][Dataset] cur_step=5900 phase=C_full_covt +[Dataset] cur_step=5900 phase=C_full_covt + 66%|███████████████████▋ | 5900/9000 [4:27:59<3:36:10, 4.18s/it][Dataset] cur_step=5900 phase=C_full_covt +[Dataset] cur_step=5900 phase=C_full_covt +[Dataset] cur_step=5900 phase=C_full_covt[Dataset] cur_step=5900 phase=C_full_covt + +[Dataset] cur_step=5900 phase=C_full_covt +[Dataset] cur_step=5900 phase=C_full_covt + {'loss': '3.258', 'grad_norm': '2.093', 'learning_rate': '1.454e-05', 'epoch': '0.2123'} + 66%|███████████████████▋ | 5900/9000 [4:27:59<3:36:10, 4.18s/it] {'lm_loss': '0.2863', 'visual_loss': '2.389', 'seg_loss': '0.6517', 'dino_loss': '0.9085', 'depth_loss': '0.2083', 'vggt_mse_loss': '0.2071', 'vggt_cos_loss': '0.01239', 'pidinet_loss': '0.1717', 'siglip_loss': '0.4487', 'epoch': '0.2123'} + 66%|███████████████████▋ | 5900/9000 [4:28:03<3:36:10, 4.18s/it][Dataset] cur_step=5901 phase=C_full_covt +[Dataset] cur_step=5901 phase=C_full_covt + 66%|███████████████████▋ | 5901/9000 [4:28:03<3:38:03, 4.22s/it][Dataset] cur_step=5901 phase=C_full_covt +[Dataset] cur_step=5901 phase=C_full_covt +[Dataset] cur_step=5901 phase=C_full_covt[Dataset] cur_step=5901 phase=C_full_covt + +[Dataset] cur_step=5901 phase=C_full_covt +[Dataset] cur_step=5901 phase=C_full_covt + {'loss': '3.029', 'grad_norm': '2.396', 'learning_rate': '1.453e-05', 'epoch': '0.2123'} + 66%|███████████████████▋ | 5901/9000 [4:28:03<3:38:03, 4.22s/it] {'lm_loss': '0.3742', 'visual_loss': '2.935', 'seg_loss': '0.887', 'dino_loss': '0.9355', 'depth_loss': '0.3257', 'vggt_mse_loss': '0.3231', 'vggt_cos_loss': '0.02586', 'pidinet_loss': '0.2337', 'siglip_loss': '0.5531', 'epoch': '0.2123'} + 66%|███████████████████▋ | 5901/9000 [4:28:07<3:38:03, 4.22s/it][Dataset] cur_step=5902 phase=C_full_covt +[Dataset] cur_step=5902 phase=C_full_covt +[Dataset] cur_step=5902 phase=C_full_covt +[Dataset] cur_step=5902 phase=C_full_covt +[Dataset] cur_step=5902 phase=C_full_covt +[Dataset] cur_step=5902 phase=C_full_covt +[Dataset] cur_step=5902 phase=C_full_covt + 66%|███████████████████▋ | 5902/9000 [4:28:07<3:33:45, 4.14s/it][Dataset] cur_step=5902 phase=C_full_covt + {'loss': '3.339', 'grad_norm': '1.564', 'learning_rate': '1.452e-05', 'epoch': '0.2123'} + 66%|███████████████████▋ | 5902/9000 [4:28:07<3:33:45, 4.14s/it] {'lm_loss': '0.6091', 'visual_loss': '2.84', 'seg_loss': '0.674', 'dino_loss': '0.9163', 'depth_loss': '0.3293', 'vggt_mse_loss': '0.3268', 'vggt_cos_loss': '0.02509', 'pidinet_loss': '0.2416', 'siglip_loss': '0.6784', 'epoch': '0.2123'} + 66%|███████████████████▋ | 5902/9000 [4:28:11<3:33:45, 4.14s/it][Dataset] cur_step=5903 phase=C_full_covt +[Dataset] cur_step=5903 phase=C_full_covt +[Dataset] cur_step=5903 phase=C_full_covt +[Dataset] cur_step=5903 phase=C_full_covt + 66%|███████████████████▋ | 5903/9000 [4:28:11<3:32:18, 4.11s/it][Dataset] cur_step=5903 phase=C_full_covt +[Dataset] cur_step=5903 phase=C_full_covt +[Dataset] cur_step=5903 phase=C_full_covt +[Dataset] cur_step=5903 phase=C_full_covt + {'loss': '2.909', 'grad_norm': '3.088', 'learning_rate': '1.451e-05', 'epoch': '0.2124'} + 66%|███████████████████▋ | 5903/9000 [4:28:11<3:32:18, 4.11s/it] {'lm_loss': '0.01185', 'visual_loss': '2.745', 'seg_loss': '0.7143', 'dino_loss': '0.9234', 'depth_loss': '0.329', 'vggt_mse_loss': '0.3269', 'vggt_cos_loss': '0.02183', 'pidinet_loss': '0.2017', 'siglip_loss': '0.5765', 'epoch': '0.2124'} + 66%|███████████████████▋ | 5903/9000 [4:28:15<3:32:18, 4.11s/it][Dataset] cur_step=5904 phase=C_full_covt +[Dataset] cur_step=5904 phase=C_full_covt +[Dataset] cur_step=5904 phase=C_full_covt[Dataset] cur_step=5904 phase=C_full_covt + +[Dataset] cur_step=5904 phase=C_full_covt +[Dataset] cur_step=5904 phase=C_full_covt[Dataset] cur_step=5904 phase=C_full_covt + + 66%|███████████████████▋ | 5904/9000 [4:28:15<3:30:10, 4.07s/it][Dataset] cur_step=5904 phase=C_full_covt + {'loss': '3.195', 'grad_norm': '2.473', 'learning_rate': '1.451e-05', 'epoch': '0.2124'} + 66%|███████████████████▋ | 5904/9000 [4:28:15<3:30:10, 4.07s/it] {'lm_loss': '0.5211', 'visual_loss': '2.64', 'seg_loss': '0.6938', 'dino_loss': '0.903', 'depth_loss': '0.2232', 'vggt_mse_loss': '0.2216', 'vggt_cos_loss': '0.01605', 'pidinet_loss': '0.1833', 'siglip_loss': '0.6366', 'epoch': '0.2124'} + 66%|███████████████████▋ | 5904/9000 [4:28:19<3:30:10, 4.07s/it][Dataset] cur_step=5905 phase=C_full_covt +[Dataset] cur_step=5905 phase=C_full_covt +[Dataset] cur_step=5905 phase=C_full_covt +[Dataset] cur_step=5905 phase=C_full_covt +[Dataset] cur_step=5905 phase=C_full_covt[Dataset] cur_step=5905 phase=C_full_covt 66%|███████████████████▋ | 5905/9000 [4:28:19<3:27:55, 4.03s/it] + +[Dataset] cur_step=5905 phase=C_full_covt +[Dataset] cur_step=5905 phase=C_full_covt + {'loss': '3.256', 'grad_norm': '2.899', 'learning_rate': '1.45e-05', 'epoch': '0.2124'} + 66%|███████████████████▋ | 5905/9000 [4:28:19<3:27:55, 4.03s/it] {'lm_loss': '0.7348', 'visual_loss': '2.584', 'seg_loss': '0.715', 'dino_loss': '0.8974', 'depth_loss': '0.2223', 'vggt_mse_loss': '0.2206', 'vggt_cos_loss': '0.0168', 'pidinet_loss': '0.2472', 'siglip_loss': '0.502', 'epoch': '0.2124'} + 66%|███████████████████▋ | 5905/9000 [4:28:23<3:27:55, 4.03s/it][Dataset] cur_step=5906 phase=C_full_covt +[Dataset] cur_step=5906 phase=C_full_covt +[Dataset] cur_step=5906 phase=C_full_covt +[Dataset] cur_step=5906 phase=C_full_covt[Dataset] cur_step=5906 phase=C_full_covt 66%|███████████████████▋ | 5906/9000 [4:28:23<3:29:17, 4.06s/it] + +[Dataset] cur_step=5906 phase=C_full_covt +[Dataset] cur_step=5906 phase=C_full_covt +[Dataset] cur_step=5906 phase=C_full_covt + {'loss': '3.067', 'grad_norm': '1.621', 'learning_rate': '1.449e-05', 'epoch': '0.2125'} + 66%|███████████████████▋ | 5906/9000 [4:28:23<3:29:17, 4.06s/it] {'lm_loss': '0.3531', 'visual_loss': '2.794', 'seg_loss': '0.8208', 'dino_loss': '0.9293', 'depth_loss': '0.2795', 'vggt_mse_loss': '0.2774', 'vggt_cos_loss': '0.02151', 'pidinet_loss': '0.2149', 'siglip_loss': '0.5491', 'epoch': '0.2125'} + 66%|███████████████████▋ | 5906/9000 [4:28:26<3:29:17, 4.06s/it][Dataset] cur_step=5907 phase=C_full_covt +[Dataset] cur_step=5907 phase=C_full_covt +[Dataset] cur_step=5907 phase=C_full_covt +[Dataset] cur_step=5907 phase=C_full_covt[Dataset] cur_step=5907 phase=C_full_covt + +[Dataset] cur_step=5907 phase=C_full_covt +[Dataset] cur_step=5907 phase=C_full_covt + 66%|███████████████████▋ | 5907/9000 [4:28:27<3:27:01, 4.02s/it][Dataset] cur_step=5907 phase=C_full_covt + {'loss': '3.373', 'grad_norm': '2.459', 'learning_rate': '1.448e-05', 'epoch': '0.2125'} + 66%|███████████████████▋ | 5907/9000 [4:28:27<3:27:01, 4.02s/it] {'lm_loss': '0.2536', 'visual_loss': '2.847', 'seg_loss': '0.8145', 'dino_loss': '0.9057', 'depth_loss': '0.298', 'vggt_mse_loss': '0.2959', 'vggt_cos_loss': '0.0211', 'pidinet_loss': '0.2519', 'siglip_loss': '0.5768', 'epoch': '0.2125'} + 66%|███████████████████▋ | 5907/9000 [4:28:31<3:27:01, 4.02s/it][Dataset] cur_step=5908 phase=C_full_covt +[Dataset] cur_step=5908 phase=C_full_covt[Dataset] cur_step=5908 phase=C_full_covt + +[Dataset] cur_step=5908 phase=C_full_covt +[Dataset] cur_step=5908 phase=C_full_covt + 66%|███████████████████▋ | 5908/9000 [4:28:32<3:29:28, 4.06s/it][Dataset] cur_step=5908 phase=C_full_covt +[Dataset] cur_step=5908 phase=C_full_covt +[Dataset] cur_step=5908 phase=C_full_covt + {'loss': '3.464', 'grad_norm': '2.349', 'learning_rate': '1.447e-05', 'epoch': '0.2125'} + 66%|███████████████████▋ | 5908/9000 [4:28:32<3:29:28, 4.06s/it] {'lm_loss': '0.01188', 'visual_loss': '2.702', 'seg_loss': '0.782', 'dino_loss': '0.9448', 'depth_loss': '0.2231', 'vggt_mse_loss': '0.2216', 'vggt_cos_loss': '0.0152', 'pidinet_loss': '0.2518', 'siglip_loss': '0.5006', 'epoch': '0.2125'} + 66%|███████████████████▋ | 5908/9000 [4:28:35<3:29:28, 4.06s/it][Dataset] cur_step=5909 phase=C_full_covt +[Dataset] cur_step=5909 phase=C_full_covt +[Dataset] cur_step=5909 phase=C_full_covt +[Dataset] cur_step=5909 phase=C_full_covt + 66%|███████████████████▋ | 5909/9000 [4:28:36<3:30:28, 4.09s/it][Dataset] cur_step=5909 phase=C_full_covt +[Dataset] cur_step=5909 phase=C_full_covt +[Dataset] cur_step=5909 phase=C_full_covt +[Dataset] cur_step=5909 phase=C_full_covt + {'loss': '2.926', 'grad_norm': '2.5', 'learning_rate': '1.446e-05', 'epoch': '0.2126'} + 66%|███████████████████▋ | 5909/9000 [4:28:36<3:30:28, 4.09s/it] {'lm_loss': '0.778', 'visual_loss': '2.682', 'seg_loss': '0.8033', 'dino_loss': '0.9364', 'depth_loss': '0.2024', 'vggt_mse_loss': '0.201', 'vggt_cos_loss': '0.01456', 'pidinet_loss': '0.2575', 'siglip_loss': '0.4822', 'epoch': '0.2126'} + 66%|███████████████████▋ | 5909/9000 [4:28:39<3:30:28, 4.09s/it][Dataset] cur_step=5910 phase=C_full_covt +[Dataset] cur_step=5910 phase=C_full_covt +[Dataset] cur_step=5910 phase=C_full_covt +[Dataset] cur_step=5910 phase=C_full_covt +[Dataset] cur_step=5910 phase=C_full_covt +[Dataset] cur_step=5910 phase=C_full_covt + 66%|███████████████████▋ | 5910/9000 [4:28:39<3:25:16, 3.99s/it][Dataset] cur_step=5910 phase=C_full_covt +[Dataset] cur_step=5910 phase=C_full_covt + {'loss': '3.344', 'grad_norm': '3.334', 'learning_rate': '1.446e-05', 'epoch': '0.2126'} + 66%|███████████████████▋ | 5910/9000 [4:28:39<3:25:16, 3.99s/it] {'lm_loss': '0.939', 'visual_loss': '2.843', 'seg_loss': '0.7493', 'dino_loss': '0.8974', 'depth_loss': '0.2424', 'vggt_mse_loss': '0.2407', 'vggt_cos_loss': '0.01666', 'pidinet_loss': '0.2964', 'siglip_loss': '0.6578', 'epoch': '0.2126'} + 66%|███████████████████▋ | 5910/9000 [4:28:43<3:25:16, 3.99s/it][Dataset] cur_step=5911 phase=C_full_covt +[Dataset] cur_step=5911 phase=C_full_covt[Dataset] cur_step=5911 phase=C_full_covt + +[Dataset] cur_step=5911 phase=C_full_covt +[Dataset] cur_step=5911 phase=C_full_covt +[Dataset] cur_step=5911 phase=C_full_covt[Dataset] cur_step=5911 phase=C_full_covt + + 66%|███████████████████▋ | 5911/9000 [4:28:43<3:24:00, 3.96s/it][Dataset] cur_step=5911 phase=C_full_covt + {'loss': '3.25', 'grad_norm': '1.822', 'learning_rate': '1.445e-05', 'epoch': '0.2126'} + 66%|███████████████████▋ | 5911/9000 [4:28:43<3:24:00, 3.96s/it] {'lm_loss': '0.5751', 'visual_loss': '2.689', 'seg_loss': '0.8012', 'dino_loss': '0.9414', 'depth_loss': '0.2034', 'vggt_mse_loss': '0.2019', 'vggt_cos_loss': '0.01525', 'pidinet_loss': '0.2367', 'siglip_loss': '0.5067', 'epoch': '0.2126'} + 66%|███████████████████▋ | 5911/9000 [4:28:47<3:24:00, 3.96s/it][Dataset] cur_step=5912 phase=C_full_covt +[Dataset] cur_step=5912 phase=C_full_covt +[Dataset] cur_step=5912 phase=C_full_covt[Dataset] cur_step=5912 phase=C_full_covt + +[Dataset] cur_step=5912 phase=C_full_covt + 66%|███████████████████▋ | 5912/9000 [4:28:48<3:28:37, 4.05s/it][Dataset] cur_step=5912 phase=C_full_covt +[Dataset] cur_step=5912 phase=C_full_covt +[Dataset] cur_step=5912 phase=C_full_covt + {'loss': '3.045', 'grad_norm': '1.578', 'learning_rate': '1.444e-05', 'epoch': '0.2127'} + 66%|███████████████████▋ | 5912/9000 [4:28:48<3:28:37, 4.05s/it] {'lm_loss': '0.02418', 'visual_loss': '2.726', 'seg_loss': '0.5982', 'dino_loss': '0.8637', 'depth_loss': '0.2318', 'vggt_mse_loss': '0.23', 'vggt_cos_loss': '0.01759', 'pidinet_loss': '0.3002', 'siglip_loss': '0.7323', 'epoch': '0.2127'} + 66%|███████████████████▋ | 5912/9000 [4:28:51<3:28:37, 4.05s/it][Dataset] cur_step=5913 phase=C_full_covt +[Dataset] cur_step=5913 phase=C_full_covt +[Dataset] cur_step=5913 phase=C_full_covt 66%|███████████████████▋ | 5913/9000 [4:28:52<3:30:57, 4.10s/it] +[Dataset] cur_step=5913 phase=C_full_covt +[Dataset] cur_step=5913 phase=C_full_covt +[Dataset] cur_step=5913 phase=C_full_covt +[Dataset] cur_step=5913 phase=C_full_covt +[Dataset] cur_step=5913 phase=C_full_covt + {'loss': '2.992', 'grad_norm': '2.242', 'learning_rate': '1.443e-05', 'epoch': '0.2127'} + 66%|███████████████████▋ | 5913/9000 [4:28:52<3:30:57, 4.10s/it] {'lm_loss': '0.6329', 'visual_loss': '2.598', 'seg_loss': '0.745', 'dino_loss': '0.904', 'depth_loss': '0.2328', 'vggt_mse_loss': '0.2315', 'vggt_cos_loss': '0.01325', 'pidinet_loss': '0.2496', 'siglip_loss': '0.467', 'epoch': '0.2127'} + 66%|███████████████████▋ | 5913/9000 [4:28:55<3:30:57, 4.10s/it][Dataset] cur_step=5914 phase=C_full_covt + 66%|███████████████████▋ | 5914/9000 [4:28:56<3:29:45, 4.08s/it][Dataset] cur_step=5914 phase=C_full_covt +[Dataset] cur_step=5914 phase=C_full_covt +[Dataset] cur_step=5914 phase=C_full_covt[Dataset] cur_step=5914 phase=C_full_covt[Dataset] cur_step=5914 phase=C_full_covt + + +[Dataset] cur_step=5914 phase=C_full_covt +[Dataset] cur_step=5914 phase=C_full_covt + {'loss': '3.219', 'grad_norm': '1.71', 'learning_rate': '1.442e-05', 'epoch': '0.2128'} + 66%|███████████████████▋ | 5914/9000 [4:28:56<3:29:45, 4.08s/it] {'lm_loss': '0.1992', 'visual_loss': '2.629', 'seg_loss': '0.6468', 'dino_loss': '0.9082', 'depth_loss': '0.3327', 'vggt_mse_loss': '0.3301', 'vggt_cos_loss': '0.02665', 'pidinet_loss': '0.2293', 'siglip_loss': '0.5119', 'epoch': '0.2128'} + 66%|███████████████████▋ | 5914/9000 [4:28:59<3:29:45, 4.08s/it][Dataset] cur_step=5915 phase=C_full_covt[Dataset] cur_step=5915 phase=C_full_covt + +[Dataset] cur_step=5915 phase=C_full_covt[Dataset] cur_step=5915 phase=C_full_covt +[Dataset] cur_step=5915 phase=C_full_covt + + 66%|███████████████████▋ | 5915/9000 [4:29:00<3:23:37, 3.96s/it][Dataset] cur_step=5915 phase=C_full_covt +[Dataset] cur_step=5915 phase=C_full_covt +[Dataset] cur_step=5915 phase=C_full_covt + {'loss': '2.968', 'grad_norm': '1.584', 'learning_rate': '1.441e-05', 'epoch': '0.2128'} + 66%|███████████████████▋ | 5915/9000 [4:29:00<3:23:37, 3.96s/it] {'lm_loss': '0.5209', 'visual_loss': '2.477', 'seg_loss': '0.7126', 'dino_loss': '0.9056', 'depth_loss': '0.2158', 'vggt_mse_loss': '0.2142', 'vggt_cos_loss': '0.01574', 'pidinet_loss': '0.2274', 'siglip_loss': '0.4157', 'epoch': '0.2128'} + 66%|███████████████████▋ | 5915/9000 [4:29:03<3:23:37, 3.96s/it][Dataset] cur_step=5916 phase=C_full_covt[Dataset] cur_step=5916 phase=C_full_covt + +[Dataset] cur_step=5916 phase=C_full_covt +[Dataset] cur_step=5916 phase=C_full_covt +[Dataset] cur_step=5916 phase=C_full_covt 66%|███████████████████▋ | 5916/9000 [4:29:03<3:17:50, 3.85s/it] +[Dataset] cur_step=5916 phase=C_full_covt +[Dataset] cur_step=5916 phase=C_full_covt +[Dataset] cur_step=5916 phase=C_full_covt + {'loss': '3.072', 'grad_norm': '5.748', 'learning_rate': '1.441e-05', 'epoch': '0.2128'} + 66%|███████████████████▋ | 5916/9000 [4:29:03<3:17:50, 3.85s/it] {'lm_loss': '0.4105', 'visual_loss': '2.976', 'seg_loss': '0.7926', 'dino_loss': '0.959', 'depth_loss': '0.4376', 'vggt_mse_loss': '0.4335', 'vggt_cos_loss': '0.04108', 'pidinet_loss': '0.2466', 'siglip_loss': '0.5406', 'epoch': '0.2128'} + 66%|███████████████████▋ | 5916/9000 [4:29:06<3:17:50, 3.85s/it][Dataset] cur_step=5917 phase=C_full_covt +[Dataset] cur_step=5917 phase=C_full_covt[Dataset] cur_step=5917 phase=C_full_covt +[Dataset] cur_step=5917 phase=C_full_covt + + 66%|███████████████████▋ | 5917/9000 [4:29:07<3:15:24, 3.80s/it][Dataset] cur_step=5917 phase=C_full_covt[Dataset] cur_step=5917 phase=C_full_covt + +[Dataset] cur_step=5917 phase=C_full_covt[Dataset] cur_step=5917 phase=C_full_covt + + {'loss': '3.261', 'grad_norm': '2.306', 'learning_rate': '1.44e-05', 'epoch': '0.2129'} + 66%|███████████████████▋ | 5917/9000 [4:29:07<3:15:24, 3.80s/it] {'lm_loss': '0.009772', 'visual_loss': '2.872', 'seg_loss': '0.8346', 'dino_loss': '0.9023', 'depth_loss': '0.2971', 'vggt_mse_loss': '0.2949', 'vggt_cos_loss': '0.02205', 'pidinet_loss': '0.2699', 'siglip_loss': '0.5679', 'epoch': '0.2129'} + 66%|███████████████████▋ | 5917/9000 [4:29:10<3:15:24, 3.80s/it][Dataset] cur_step=5918 phase=C_full_covt +[Dataset] cur_step=5918 phase=C_full_covt +[Dataset] cur_step=5918 phase=C_full_covt +[Dataset] cur_step=5918 phase=C_full_covt[Dataset] cur_step=5918 phase=C_full_covt + +[Dataset] cur_step=5918 phase=C_full_covt + 66%|███████████████████▋ | 5918/9000 [4:29:11<3:20:48, 3.91s/it][Dataset] cur_step=5918 phase=C_full_covt +[Dataset] cur_step=5918 phase=C_full_covt + {'loss': '2.869', 'grad_norm': '2.038', 'learning_rate': '1.439e-05', 'epoch': '0.2129'} + 66%|███████████████████▋ | 5918/9000 [4:29:11<3:20:48, 3.91s/it] {'lm_loss': '0.4714', 'visual_loss': '2.477', 'seg_loss': '0.7145', 'dino_loss': '0.8892', 'depth_loss': '0.2149', 'vggt_mse_loss': '0.2135', 'vggt_cos_loss': '0.01325', 'pidinet_loss': '0.1871', 'siglip_loss': '0.4712', 'epoch': '0.2129'} + 66%|███████████████████▋ | 5918/9000 [4:29:15<3:20:48, 3.91s/it][Dataset] cur_step=5919 phase=C_full_covt +[Dataset] cur_step=5919 phase=C_full_covt +[Dataset] cur_step=5919 phase=C_full_covt +[Dataset] cur_step=5919 phase=C_full_covt + 66%|███████████████████▋ | 5919/9000 [4:29:15<3:20:42, 3.91s/it][Dataset] cur_step=5919 phase=C_full_covt +[Dataset] cur_step=5919 phase=C_full_covt +[Dataset] cur_step=5919 phase=C_full_covt +[Dataset] cur_step=5919 phase=C_full_covt + {'loss': '2.972', 'grad_norm': '2.12', 'learning_rate': '1.438e-05', 'epoch': '0.2129'} + 66%|███████████████████▋ | 5919/9000 [4:29:15<3:20:42, 3.91s/it] {'lm_loss': '0.3298', 'visual_loss': '2.748', 'seg_loss': '0.6939', 'dino_loss': '0.9057', 'depth_loss': '0.2272', 'vggt_mse_loss': '0.2256', 'vggt_cos_loss': '0.01568', 'pidinet_loss': '0.2705', 'siglip_loss': '0.6508', 'epoch': '0.2129'} + 66%|███████████████████▋ | 5919/9000 [4:29:19<3:20:42, 3.91s/it][Dataset] cur_step=5920 phase=C_full_covt +[Dataset] cur_step=5920 phase=C_full_covt + 66%|███████████████████▋ | 5920/9000 [4:29:19<3:23:23, 3.96s/it][Dataset] cur_step=5920 phase=C_full_covt[Dataset] cur_step=5920 phase=C_full_covt[Dataset] cur_step=5920 phase=C_full_covt + + +[Dataset] cur_step=5920 phase=C_full_covt +[Dataset] cur_step=5920 phase=C_full_covt[Dataset] cur_step=5920 phase=C_full_covt + + {'loss': '3.082', 'grad_norm': '2.349', 'learning_rate': '1.437e-05', 'epoch': '0.213'} + 66%|███████████████████▋ | 5920/9000 [4:29:19<3:23:23, 3.96s/it] {'lm_loss': '0.3132', 'visual_loss': '2.476', 'seg_loss': '0.6657', 'dino_loss': '0.8843', 'depth_loss': '0.2092', 'vggt_mse_loss': '0.2078', 'vggt_cos_loss': '0.01381', 'pidinet_loss': '0.1915', 'siglip_loss': '0.5255', 'epoch': '0.213'} + 66%|███████████████████▋ | 5920/9000 [4:29:22<3:23:23, 3.96s/it][Dataset] cur_step=5921 phase=C_full_covt +[Dataset] cur_step=5921 phase=C_full_covt +[Dataset] cur_step=5921 phase=C_full_covt +[Dataset] cur_step=5921 phase=C_full_covt +[Dataset] cur_step=5921 phase=C_full_covt +[Dataset] cur_step=5921 phase=C_full_covt +[Dataset] cur_step=5921 phase=C_full_covt 66%|███████████████████▋ | 5921/9000 [4:29:23<3:29:51, 4.09s/it] +[Dataset] cur_step=5921 phase=C_full_covt + {'loss': '2.942', 'grad_norm': '4.498', 'learning_rate': '1.436e-05', 'epoch': '0.213'} + 66%|███████████████████▋ | 5921/9000 [4:29:23<3:29:51, 4.09s/it] {'lm_loss': '0.8156', 'visual_loss': '2.533', 'seg_loss': '0.6773', 'dino_loss': '0.8971', 'depth_loss': '0.1881', 'vggt_mse_loss': '0.1868', 'vggt_cos_loss': '0.01315', 'pidinet_loss': '0.2362', 'siglip_loss': '0.5341', 'epoch': '0.213'} + 66%|███████████████████▋ | 5921/9000 [4:29:26<3:29:51, 4.09s/it][Dataset] cur_step=5922 phase=C_full_covt +[Dataset] cur_step=5922 phase=C_full_covt +[Dataset] cur_step=5922 phase=C_full_covt +[Dataset] cur_step=5922 phase=C_full_covt[Dataset] cur_step=5922 phase=C_full_covt + +[Dataset] cur_step=5922 phase=C_full_covt +[Dataset] cur_step=5922 phase=C_full_covt + 66%|███████████████████▋ | 5922/9000 [4:29:27<3:30:19, 4.10s/it][Dataset] cur_step=5922 phase=C_full_covt + {'loss': '3.169', 'grad_norm': '2.654', 'learning_rate': '1.436e-05', 'epoch': '0.213'} + 66%|███████████████████▋ | 5922/9000 [4:29:30<3:30:19, 4.10s/it] {'lm_loss': '0.4111', 'visual_loss': '2.676', 'seg_loss': '0.7747', 'dino_loss': '0.8743', 'depth_loss': '0.1717', 'vggt_mse_loss': '0.1706', 'vggt_cos_loss': '0.01121', 'pidinet_loss': '0.2205', 'siglip_loss': '0.6349', 'epoch': '0.213'} + 66%|███████████████████▋ | 5922/9000 [4:29:33<3:30:19, 4.10s/it][Dataset] cur_step=5923 phase=C_full_covt +[Dataset] cur_step=5923 phase=C_full_covt +[Dataset] cur_step=5923 phase=C_full_covt[Dataset] cur_step=5923 phase=C_full_covt + +[Dataset] cur_step=5923 phase=C_full_covt[Dataset] cur_step=5923 phase=C_full_covt + +[Dataset] cur_step=5923 phase=C_full_covt + 66%|███████████████████▋ | 5923/9000 [4:29:34<4:03:29, 4.75s/it][Dataset] cur_step=5923 phase=C_full_covt + {'loss': '3.126', 'grad_norm': '5.108', 'learning_rate': '1.435e-05', 'epoch': '0.2131'} + 66%|███████████████████▋ | 5923/9000 [4:29:34<4:03:29, 4.75s/it] {'lm_loss': '0.001267', 'visual_loss': '2.277', 'seg_loss': '0.5671', 'dino_loss': '0.8914', 'depth_loss': '0.2863', 'vggt_mse_loss': '0.2844', 'vggt_cos_loss': '0.01881', 'pidinet_loss': '0.1796', 'siglip_loss': '0.3524', 'epoch': '0.2131'} + 66%|███████████████████▋ | 5923/9000 [4:29:37<4:03:29, 4.75s/it][Dataset] cur_step=5924 phase=C_full_covt +[Dataset] cur_step=5924 phase=C_full_covt +[Dataset] cur_step=5924 phase=C_full_covt +[Dataset] cur_step=5924 phase=C_full_covt +[Dataset] cur_step=5924 phase=C_full_covt + 66%|███████████████████▋ | 5924/9000 [4:29:38<3:51:12, 4.51s/it][Dataset] cur_step=5924 phase=C_full_covt +[Dataset] cur_step=5924 phase=C_full_covt +[Dataset] cur_step=5924 phase=C_full_covt + {'loss': '2.889', 'grad_norm': '1.626', 'learning_rate': '1.434e-05', 'epoch': '0.2131'} + 66%|███████████████████▋ | 5924/9000 [4:29:38<3:51:12, 4.51s/it] {'lm_loss': '0.3607', 'visual_loss': '2.732', 'seg_loss': '0.7985', 'dino_loss': '0.9175', 'depth_loss': '0.255', 'vggt_mse_loss': '0.2528', 'vggt_cos_loss': '0.02206', 'pidinet_loss': '0.2654', 'siglip_loss': '0.4959', 'epoch': '0.2131'} + 66%|███████████████████▋ | 5924/9000 [4:29:41<3:51:12, 4.51s/it][Dataset] cur_step=5925 phase=C_full_covt +[Dataset] cur_step=5925 phase=C_full_covt +[Dataset] cur_step=5925 phase=C_full_covt[Dataset] cur_step=5925 phase=C_full_covt[Dataset] cur_step=5925 phase=C_full_covt + + +[Dataset] cur_step=5925 phase=C_full_covt +[Dataset] cur_step=5925 phase=C_full_covt + 66%|███████████████████▊ | 5925/9000 [4:29:42<3:41:02, 4.31s/it][Dataset] cur_step=5925 phase=C_full_covt + {'loss': '3.238', 'grad_norm': '2.22', 'learning_rate': '1.433e-05', 'epoch': '0.2132'} + 66%|███████████████████▊ | 5925/9000 [4:29:42<3:41:02, 4.31s/it] {'lm_loss': '0.3296', 'visual_loss': '2.912', 'seg_loss': '0.8751', 'dino_loss': '0.9086', 'depth_loss': '0.237', 'vggt_mse_loss': '0.2353', 'vggt_cos_loss': '0.01688', 'pidinet_loss': '0.2266', 'siglip_loss': '0.665', 'epoch': '0.2132'} + 66%|███████████████████▊ | 5925/9000 [4:29:44<3:41:02, 4.31s/it][Dataset] cur_step=5926 phase=C_full_covt +[Dataset] cur_step=5926 phase=C_full_covt +[Dataset] cur_step=5926 phase=C_full_covt[Dataset] cur_step=5926 phase=C_full_covt +[Dataset] cur_step=5926 phase=C_full_covt + +[Dataset] cur_step=5926 phase=C_full_covt +[Dataset] cur_step=5926 phase=C_full_covt + 66%|███████████████████▊ | 5926/9000 [4:29:46<3:37:20, 4.24s/it][Dataset] cur_step=5926 phase=C_full_covt + {'loss': '3.073', 'grad_norm': '1.584', 'learning_rate': '1.432e-05', 'epoch': '0.2132'} + 66%|███████████████████▊ | 5926/9000 [4:29:46<3:37:20, 4.24s/it] {'lm_loss': '0.5819', 'visual_loss': '2.69', 'seg_loss': '0.7629', 'dino_loss': '0.9064', 'depth_loss': '0.2773', 'vggt_mse_loss': '0.2752', 'vggt_cos_loss': '0.02124', 'pidinet_loss': '0.2449', 'siglip_loss': '0.4988', 'epoch': '0.2132'} + 66%|███████████████████▊ | 5926/9000 [4:29:49<3:37:20, 4.24s/it][Dataset] cur_step=5927 phase=C_full_covt +[Dataset] cur_step=5927 phase=C_full_covt +[Dataset] cur_step=5927 phase=C_full_covt +[Dataset] cur_step=5927 phase=C_full_covt[Dataset] cur_step=5927 phase=C_full_covt + +[Dataset] cur_step=5927 phase=C_full_covt +[Dataset] cur_step=5927 phase=C_full_covt + 66%|███████████████████▊ | 5927/9000 [4:29:50<3:36:33, 4.23s/it][Dataset] cur_step=5927 phase=C_full_covt + {'loss': '3.113', 'grad_norm': '4.18', 'learning_rate': '1.431e-05', 'epoch': '0.2132'} + 66%|███████████████████▊ | 5927/9000 [4:29:50<3:36:33, 4.23s/it] {'lm_loss': '0.5242', 'visual_loss': '2.826', 'seg_loss': '0.7109', 'dino_loss': '0.9259', 'depth_loss': '0.2776', 'vggt_mse_loss': '0.2751', 'vggt_cos_loss': '0.02539', 'pidinet_loss': '0.2438', 'siglip_loss': '0.6676', 'epoch': '0.2132'} + 66%|███████████████████▊ | 5927/9000 [4:29:53<3:36:33, 4.23s/it][Dataset] cur_step=5928 phase=C_full_covt +[Dataset] cur_step=5928 phase=C_full_covt +[Dataset] cur_step=5928 phase=C_full_covt +[Dataset] cur_step=5928 phase=C_full_covt[Dataset] cur_step=5928 phase=C_full_covt + +[Dataset] cur_step=5928 phase=C_full_covt 66%|███████████████████▊ | 5928/9000 [4:29:54<3:33:31, 4.17s/it] +[Dataset] cur_step=5928 phase=C_full_covt +[Dataset] cur_step=5928 phase=C_full_covt + {'loss': '3.456', 'grad_norm': '4.004', 'learning_rate': '1.431e-05', 'epoch': '0.2133'} + 66%|███████████████████▊ | 5928/9000 [4:29:54<3:33:31, 4.17s/it] {'lm_loss': '0.315', 'visual_loss': '2.713', 'seg_loss': '0.6689', 'dino_loss': '0.915', 'depth_loss': '0.2591', 'vggt_mse_loss': '0.2571', 'vggt_cos_loss': '0.01922', 'pidinet_loss': '0.2151', 'siglip_loss': '0.6553', 'epoch': '0.2133'} + 66%|███████████████████▊ | 5928/9000 [4:29:57<3:33:31, 4.17s/it][Dataset] cur_step=5929 phase=C_full_covt +[Dataset] cur_step=5929 phase=C_full_covt +[Dataset] cur_step=5929 phase=C_full_covt + 66%|███████████████████▊ | 5929/9000 [4:29:58<3:30:48, 4.12s/it][Dataset] cur_step=5929 phase=C_full_covt +[Dataset] cur_step=5929 phase=C_full_covt +[Dataset] cur_step=5929 phase=C_full_covt +[Dataset] cur_step=5929 phase=C_full_covt +[Dataset] cur_step=5929 phase=C_full_covt + {'loss': '3.242', 'grad_norm': '2.913', 'learning_rate': '1.43e-05', 'epoch': '0.2133'} + 66%|███████████████████▊ | 5929/9000 [4:29:58<3:30:48, 4.12s/it] {'lm_loss': '0.7112', 'visual_loss': '2.893', 'seg_loss': '0.759', 'dino_loss': '0.9055', 'depth_loss': '0.3515', 'vggt_mse_loss': '0.349', 'vggt_cos_loss': '0.02449', 'pidinet_loss': '0.2435', 'siglip_loss': '0.6333', 'epoch': '0.2133'} + 66%|███████████████████▊ | 5929/9000 [4:30:01<3:30:48, 4.12s/it][Dataset] cur_step=5930 phase=C_full_covt +[Dataset] cur_step=5930 phase=C_full_covt + 66%|███████████████████▊ | 5930/9000 [4:30:02<3:26:29, 4.04s/it][Dataset] cur_step=5930 phase=C_full_covt +[Dataset] cur_step=5930 phase=C_full_covt +[Dataset] cur_step=5930 phase=C_full_covt +[Dataset] cur_step=5930 phase=C_full_covt +[Dataset] cur_step=5930 phase=C_full_covt +[Dataset] cur_step=5930 phase=C_full_covt + {'loss': '3.225', 'grad_norm': '2.894', 'learning_rate': '1.429e-05', 'epoch': '0.2133'} + 66%|███████████████████▊ | 5930/9000 [4:30:02<3:26:29, 4.04s/it] {'lm_loss': '0.7846', 'visual_loss': '2.62', 'seg_loss': '0.6277', 'dino_loss': '0.9116', 'depth_loss': '0.2468', 'vggt_mse_loss': '0.2449', 'vggt_cos_loss': '0.0196', 'pidinet_loss': '0.2744', 'siglip_loss': '0.5592', 'epoch': '0.2133'} + 66%|███████████████████▊ | 5930/9000 [4:30:05<3:26:29, 4.04s/it][Dataset] cur_step=5931 phase=C_full_covt +[Dataset] cur_step=5931 phase=C_full_covt +[Dataset] cur_step=5931 phase=C_full_covt +[Dataset] cur_step=5931 phase=C_full_covt +[Dataset] cur_step=5931 phase=C_full_covt +[Dataset] cur_step=5931 phase=C_full_covt +[Dataset] cur_step=5931 phase=C_full_covt +[Dataset] cur_step=5931 phase=C_full_covt + 66%|███████████████████▊ | 5931/9000 [4:30:06<3:23:58, 3.99s/it] {'loss': '3.229', 'grad_norm': '1.811', 'learning_rate': '1.428e-05', 'epoch': '0.2134'} + 66%|███████████████████▊ | 5931/9000 [4:30:06<3:23:58, 3.99s/it] {'lm_loss': '0.2501', 'visual_loss': '2.609', 'seg_loss': '0.7074', 'dino_loss': '0.9055', 'depth_loss': '0.233', 'vggt_mse_loss': '0.2314', 'vggt_cos_loss': '0.01604', 'pidinet_loss': '0.2062', 'siglip_loss': '0.5564', 'epoch': '0.2134'} + 66%|███████████████████▊ | 5931/9000 [4:30:09<3:23:58, 3.99s/it][Dataset] cur_step=5932 phase=C_full_covt +[Dataset] cur_step=5932 phase=C_full_covt +[Dataset] cur_step=5932 phase=C_full_covt[Dataset] cur_step=5932 phase=C_full_covt + +[Dataset] cur_step=5932 phase=C_full_covt + 66%|███████████████████▊ | 5932/9000 [4:30:12<3:56:48, 4.63s/it][Dataset] cur_step=5932 phase=C_full_covt +[Dataset] cur_step=5932 phase=C_full_covt +[Dataset] cur_step=5932 phase=C_full_covt + {'loss': '3.165', 'grad_norm': '1.406', 'learning_rate': '1.427e-05', 'epoch': '0.2134'} + 66%|███████████████████▊ | 5932/9000 [4:30:12<3:56:48, 4.63s/it] {'lm_loss': '0.02704', 'visual_loss': '2.785', 'seg_loss': '0.7478', 'dino_loss': '0.9102', 'depth_loss': '0.3825', 'vggt_mse_loss': '0.3795', 'vggt_cos_loss': '0.03015', 'pidinet_loss': '0.2435', 'siglip_loss': '0.5007', 'epoch': '0.2134'} + 66%|███████████████████▊ | 5932/9000 [4:30:14<3:56:48, 4.63s/it][Dataset] cur_step=5933 phase=C_full_covt +[Dataset] cur_step=5933 phase=C_full_covt +[Dataset] cur_step=5933 phase=C_full_covt +[Dataset] cur_step=5933 phase=C_full_covt[Dataset] cur_step=5933 phase=C_full_covt[Dataset] cur_step=5933 phase=C_full_covt + + + 66%|███████████████████▊ | 5933/9000 [4:30:16<3:44:54, 4.40s/it][Dataset] cur_step=5933 phase=C_full_covt +[Dataset] cur_step=5933 phase=C_full_covt + {'loss': '2.927', 'grad_norm': '4.103', 'learning_rate': '1.426e-05', 'epoch': '0.2134'} + 66%|███████████████████▊ | 5933/9000 [4:30:16<3:44:54, 4.40s/it] {'lm_loss': '1.973', 'visual_loss': '3.041', 'seg_loss': '0.9147', 'dino_loss': '0.9071', 'depth_loss': '0.3513', 'vggt_mse_loss': '0.3484', 'vggt_cos_loss': '0.02852', 'pidinet_loss': '0.2646', 'siglip_loss': '0.6031', 'epoch': '0.2134'} + 66%|███████████████████▊ | 5933/9000 [4:30:18<3:44:54, 4.40s/it][Dataset] cur_step=5934 phase=C_full_covt +[Dataset] cur_step=5934 phase=C_full_covt +[Dataset] cur_step=5934 phase=C_full_covt + 66%|███████████████████▊ | 5934/9000 [4:30:20<3:40:58, 4.32s/it][Dataset] cur_step=5934 phase=C_full_covt +[Dataset] cur_step=5934 phase=C_full_covt +[Dataset] cur_step=5934 phase=C_full_covt +[Dataset] cur_step=5934 phase=C_full_covt +[Dataset] cur_step=5934 phase=C_full_covt + {'loss': '3.2', 'grad_norm': '2.146', 'learning_rate': '1.426e-05', 'epoch': '0.2135'} + 66%|███████████████████▊ | 5934/9000 [4:30:20<3:40:58, 4.32s/it] {'lm_loss': '0.04861', 'visual_loss': '2.501', 'seg_loss': '0.6715', 'dino_loss': '0.9136', 'depth_loss': '0.1943', 'vggt_mse_loss': '0.193', 'vggt_cos_loss': '0.01333', 'pidinet_loss': '0.2271', 'siglip_loss': '0.4947', 'epoch': '0.2135'} + 66%|███████████████████▊ | 5934/9000 [4:30:23<3:40:58, 4.32s/it][Dataset] cur_step=5935 phase=C_full_covt +[Dataset] cur_step=5935 phase=C_full_covt +[Dataset] cur_step=5935 phase=C_full_covt + 66%|███████████████████▊ | 5935/9000 [4:30:23<3:31:06, 4.13s/it][Dataset] cur_step=5935 phase=C_full_covt[Dataset] cur_step=5935 phase=C_full_covt + +[Dataset] cur_step=5935 phase=C_full_covt[Dataset] cur_step=5935 phase=C_full_covt + +[Dataset] cur_step=5935 phase=C_full_covt + {'loss': '3.104', 'grad_norm': '5.321', 'learning_rate': '1.425e-05', 'epoch': '0.2135'} + 66%|███████████████████▊ | 5935/9000 [4:30:23<3:31:06, 4.13s/it] {'lm_loss': '0.349', 'visual_loss': '3.521', 'seg_loss': '0.7671', 'dino_loss': '0.9205', 'depth_loss': '1.002', 'vggt_mse_loss': '0.9918', 'vggt_cos_loss': '0.1068', 'pidinet_loss': '0.1872', 'siglip_loss': '0.6442', 'epoch': '0.2135'} + 66%|███████████████████▊ | 5935/9000 [4:30:27<3:31:06, 4.13s/it][Dataset] cur_step=5936 phase=C_full_covt +[Dataset] cur_step=5936 phase=C_full_covt +[Dataset] cur_step=5936 phase=C_full_covt[Dataset] cur_step=5936 phase=C_full_covt + + 66%|███████████████████▊ | 5936/9000 [4:30:27<3:26:50, 4.05s/it][Dataset] cur_step=5936 phase=C_full_covt[Dataset] cur_step=5936 phase=C_full_covt + +[Dataset] cur_step=5936 phase=C_full_covt +[Dataset] cur_step=5936 phase=C_full_covt + {'loss': '3.197', 'grad_norm': '12.66', 'learning_rate': '1.424e-05', 'epoch': '0.2135'} + 66%|███████████████████▊ | 5936/9000 [4:30:27<3:26:50, 4.05s/it] {'lm_loss': '0.8089', 'visual_loss': '2.653', 'seg_loss': '0.6854', 'dino_loss': '0.906', 'depth_loss': '0.2776', 'vggt_mse_loss': '0.2754', 'vggt_cos_loss': '0.02234', 'pidinet_loss': '0.232', 'siglip_loss': '0.5516', 'epoch': '0.2135'} + 66%|███████████████████▊ | 5936/9000 [4:30:30<3:26:50, 4.05s/it][Dataset] cur_step=5937 phase=C_full_covt[Dataset] cur_step=5937 phase=C_full_covt +[Dataset] cur_step=5937 phase=C_full_covt + + 66%|███████████████████▊ | 5937/9000 [4:30:31<3:25:24, 4.02s/it][Dataset] cur_step=5937 phase=C_full_covt +[Dataset] cur_step=5937 phase=C_full_covt[Dataset] cur_step=5937 phase=C_full_covt + +[Dataset] cur_step=5937 phase=C_full_covt +[Dataset] cur_step=5937 phase=C_full_covt + {'loss': '2.924', 'grad_norm': '2.754', 'learning_rate': '1.423e-05', 'epoch': '0.2136'} + 66%|███████████████████▊ | 5937/9000 [4:30:31<3:25:24, 4.02s/it] {'lm_loss': '0.4632', 'visual_loss': '2.506', 'seg_loss': '0.6712', 'dino_loss': '0.9188', 'depth_loss': '0.1957', 'vggt_mse_loss': '0.1944', 'vggt_cos_loss': '0.01286', 'pidinet_loss': '0.2534', 'siglip_loss': '0.4668', 'epoch': '0.2136'} + 66%|███████████████████▊ | 5937/9000 [4:30:35<3:25:24, 4.02s/it][Dataset] cur_step=5938 phase=C_full_covt +[Dataset] cur_step=5938 phase=C_full_covt +[Dataset] cur_step=5938 phase=C_full_covt[Dataset] cur_step=5938 phase=C_full_covt +[Dataset] cur_step=5938 phase=C_full_covt + +[Dataset] cur_step=5938 phase=C_full_covt + 66%|███████████████████▊ | 5938/9000 [4:30:37<3:53:17, 4.57s/it][Dataset] cur_step=5938 phase=C_full_covt +[Dataset] cur_step=5938 phase=C_full_covt + {'loss': '3.337', 'grad_norm': '1.842', 'learning_rate': '1.422e-05', 'epoch': '0.2136'} + 66%|███████████████████▊ | 5938/9000 [4:30:37<3:53:17, 4.57s/it] {'lm_loss': '0.4087', 'visual_loss': '3.002', 'seg_loss': '0.8614', 'dino_loss': '0.9328', 'depth_loss': '0.3017', 'vggt_mse_loss': '0.2995', 'vggt_cos_loss': '0.02226', 'pidinet_loss': '0.2377', 'siglip_loss': '0.6686', 'epoch': '0.2136'} + 66%|███████████████████▊ | 5938/9000 [4:30:40<3:53:17, 4.57s/it][Dataset] cur_step=5939 phase=C_full_covt +[Dataset] cur_step=5939 phase=C_full_covt +[Dataset] cur_step=5939 phase=C_full_covt +[Dataset] cur_step=5939 phase=C_full_covt +[Dataset] cur_step=5939 phase=C_full_covt[Dataset] cur_step=5939 phase=C_full_covt +[Dataset] cur_step=5939 phase=C_full_covt + + 66%|███████████████████▊ | 5939/9000 [4:30:41<3:46:56, 4.45s/it][Dataset] cur_step=5939 phase=C_full_covt + {'loss': '3.114', 'grad_norm': '6.877', 'learning_rate': '1.421e-05', 'epoch': '0.2137'} + 66%|███████████████████▊ | 5939/9000 [4:30:41<3:46:56, 4.45s/it] {'lm_loss': '0.6072', 'visual_loss': '2.842', 'seg_loss': '0.7566', 'dino_loss': '0.9088', 'depth_loss': '0.2325', 'vggt_mse_loss': '0.2309', 'vggt_cos_loss': '0.01591', 'pidinet_loss': '0.2886', 'siglip_loss': '0.6555', 'epoch': '0.2137'} + 66%|███████████████████▊ | 5939/9000 [4:30:44<3:46:56, 4.45s/it][Dataset] cur_step=5940 phase=C_full_covt +[Dataset] cur_step=5940 phase=C_full_covt +[Dataset] cur_step=5940 phase=C_full_covt[Dataset] cur_step=5940 phase=C_full_covt + + 66%|███████████████████▊ | 5940/9000 [4:30:48<4:14:47, 5.00s/it][Dataset] cur_step=5940 phase=C_full_covt +[Dataset] cur_step=5940 phase=C_full_covt[Dataset] cur_step=5940 phase=C_full_covt + +[Dataset] cur_step=5940 phase=C_full_covt + {'loss': '3.25', 'grad_norm': '1.552', 'learning_rate': '1.421e-05', 'epoch': '0.2137'} + 66%|███████████████████▊ | 5940/9000 [4:30:48<4:14:47, 5.00s/it] {'lm_loss': '0.4407', 'visual_loss': '2.745', 'seg_loss': '0.7132', 'dino_loss': '0.934', 'depth_loss': '0.3119', 'vggt_mse_loss': '0.3092', 'vggt_cos_loss': '0.02642', 'pidinet_loss': '0.2438', 'siglip_loss': '0.5419', 'epoch': '0.2137'} + 66%|███████████████████▊ | 5940/9000 [4:30:53<4:14:47, 5.00s/it][Dataset] cur_step=5941 phase=C_full_covt[Dataset] cur_step=5941 phase=C_full_covt + +[Dataset] cur_step=5941 phase=C_full_covt + 66%|███████████████████▊ | 5941/9000 [4:30:54<4:33:46, 5.37s/it][Dataset] cur_step=5941 phase=C_full_covt +[Dataset] cur_step=5941 phase=C_full_covt[Dataset] cur_step=5941 phase=C_full_covt + +[Dataset] cur_step=5941 phase=C_full_covt +[Dataset] cur_step=5941 phase=C_full_covt + {'loss': '2.955', 'grad_norm': '3.545', 'learning_rate': '1.42e-05', 'epoch': '0.2137'} + 66%|███████████████████▊ | 5941/9000 [4:30:54<4:33:46, 5.37s/it] {'lm_loss': '0.6184', 'visual_loss': '2.846', 'seg_loss': '0.755', 'dino_loss': '0.904', 'depth_loss': '0.4842', 'vggt_mse_loss': '0.4799', 'vggt_cos_loss': '0.04334', 'pidinet_loss': '0.2278', 'siglip_loss': '0.4749', 'epoch': '0.2137'} + 66%|███████████████████▊ | 5941/9000 [4:30:57<4:33:46, 5.37s/it][Dataset] cur_step=5942 phase=C_full_covt +[Dataset] cur_step=5942 phase=C_full_covt +[Dataset] cur_step=5942 phase=C_full_covt +[Dataset] cur_step=5942 phase=C_full_covt +[Dataset] cur_step=5942 phase=C_full_covt[Dataset] cur_step=5942 phase=C_full_covt[Dataset] cur_step=5942 phase=C_full_covt +[Dataset] cur_step=5942 phase=C_full_covt + + + 66%|███████████████████▊ | 5942/9000 [4:30:58<4:11:10, 4.93s/it] {'loss': '3.247', 'grad_norm': '2.083', 'learning_rate': '1.419e-05', 'epoch': '0.2138'} + 66%|███████████████████▊ | 5942/9000 [4:30:58<4:11:10, 4.93s/it] {'lm_loss': '0.62', 'visual_loss': '2.723', 'seg_loss': '0.7226', 'dino_loss': '0.9274', 'depth_loss': '0.282', 'vggt_mse_loss': '0.2799', 'vggt_cos_loss': '0.02136', 'pidinet_loss': '0.2401', 'siglip_loss': '0.5509', 'epoch': '0.2138'} + 66%|███████████████████▊ | 5942/9000 [4:31:01<4:11:10, 4.93s/it][Dataset] cur_step=5943 phase=C_full_covt +[Dataset] cur_step=5943 phase=C_full_covt +[Dataset] cur_step=5943 phase=C_full_covt +[Dataset] cur_step=5943 phase=C_full_covt +[Dataset] cur_step=5943 phase=C_full_covt + 66%|███████████████████▊ | 5943/9000 [4:31:02<4:00:27, 4.72s/it][Dataset] cur_step=5943 phase=C_full_covt +[Dataset] cur_step=5943 phase=C_full_covt +[Dataset] cur_step=5943 phase=C_full_covt + {'loss': '3.081', 'grad_norm': '1.715', 'learning_rate': '1.418e-05', 'epoch': '0.2138'} + 66%|███████████████████▊ | 5943/9000 [4:31:02<4:00:27, 4.72s/it] {'lm_loss': '0.3192', 'visual_loss': '2.732', 'seg_loss': '0.7619', 'dino_loss': '0.938', 'depth_loss': '0.211', 'vggt_mse_loss': '0.2097', 'vggt_cos_loss': '0.01339', 'pidinet_loss': '0.2553', 'siglip_loss': '0.5662', 'epoch': '0.2138'} + 66%|███████████████████▊ | 5943/9000 [4:31:05<4:00:27, 4.72s/it][Dataset] cur_step=5944 phase=C_full_covt +[Dataset] cur_step=5944 phase=C_full_covt +[Dataset] cur_step=5944 phase=C_full_covt[Dataset] cur_step=5944 phase=C_full_covt + +[Dataset] cur_step=5944 phase=C_full_covt + 66%|███████████████████▊ | 5944/9000 [4:31:06<3:49:39, 4.51s/it][Dataset] cur_step=5944 phase=C_full_covt +[Dataset] cur_step=5944 phase=C_full_covt +[Dataset] cur_step=5944 phase=C_full_covt + {'loss': '3.336', 'grad_norm': '2.3', 'learning_rate': '1.417e-05', 'epoch': '0.2138'} + 66%|███████████████████▊ | 5944/9000 [4:31:06<3:49:39, 4.51s/it] {'lm_loss': '0.007937', 'visual_loss': '2.548', 'seg_loss': '0.6254', 'dino_loss': '0.9494', 'depth_loss': '0.2999', 'vggt_mse_loss': '0.2978', 'vggt_cos_loss': '0.02036', 'pidinet_loss': '0.2675', 'siglip_loss': '0.4058', 'epoch': '0.2138'} + 66%|███████████████████▊ | 5944/9000 [4:31:10<3:49:39, 4.51s/it][Dataset] cur_step=5945 phase=C_full_covt +[Dataset] cur_step=5945 phase=C_full_covt +[Dataset] cur_step=5945 phase=C_full_covt + 66%|███████████████████▊ | 5945/9000 [4:31:11<4:05:54, 4.83s/it][Dataset] cur_step=5945 phase=C_full_covt +[Dataset] cur_step=5945 phase=C_full_covt +[Dataset] cur_step=5945 phase=C_full_covt +[Dataset] cur_step=5945 phase=C_full_covt +[Dataset] cur_step=5945 phase=C_full_covt + {'loss': '3.122', 'grad_norm': '5.17', 'learning_rate': '1.416e-05', 'epoch': '0.2139'} + 66%|███████████████████▊ | 5945/9000 [4:31:11<4:05:54, 4.83s/it] {'lm_loss': '0.01263', 'visual_loss': '2.87', 'seg_loss': '0.801', 'dino_loss': '0.8964', 'depth_loss': '0.3163', 'vggt_mse_loss': '0.3141', 'vggt_cos_loss': '0.02179', 'pidinet_loss': '0.2786', 'siglip_loss': '0.5779', 'epoch': '0.2139'} + 66%|███████████████████▊ | 5945/9000 [4:31:15<4:05:54, 4.83s/it][Dataset] cur_step=5946 phase=C_full_covt +[Dataset] cur_step=5946 phase=C_full_covt[Dataset] cur_step=5946 phase=C_full_covt +[Dataset] cur_step=5946 phase=C_full_covt + + 66%|███████████████████▊ | 5946/9000 [4:31:15<3:49:33, 4.51s/it][Dataset] cur_step=5946 phase=C_full_covt +[Dataset] cur_step=5946 phase=C_full_covt +[Dataset] cur_step=5946 phase=C_full_covt +[Dataset] cur_step=5946 phase=C_full_covt + {'loss': '2.972', 'grad_norm': '4.047', 'learning_rate': '1.416e-05', 'epoch': '0.2139'} + 66%|███████████████████▊ | 5946/9000 [4:31:15<3:49:33, 4.51s/it] {'lm_loss': '0.005969', 'visual_loss': '2.445', 'seg_loss': '0.72', 'dino_loss': '0.8921', 'depth_loss': '0.2787', 'vggt_mse_loss': '0.2771', 'vggt_cos_loss': '0.01611', 'pidinet_loss': '0.2215', 'siglip_loss': '0.3324', 'epoch': '0.2139'} + 66%|███████████████████▊ | 5946/9000 [4:31:19<3:49:33, 4.51s/it][Dataset] cur_step=5947 phase=C_full_covt +[Dataset] cur_step=5947 phase=C_full_covt +[Dataset] cur_step=5947 phase=C_full_covt +[Dataset] cur_step=5947 phase=C_full_covt + 66%|███████████████████▊ | 5947/9000 [4:31:20<3:47:41, 4.47s/it][Dataset] cur_step=5947 phase=C_full_covt +[Dataset] cur_step=5947 phase=C_full_covt +[Dataset] cur_step=5947 phase=C_full_covt +[Dataset] cur_step=5947 phase=C_full_covt + {'loss': '3.172', 'grad_norm': '1.839', 'learning_rate': '1.415e-05', 'epoch': '0.2139'} + 66%|███████████████████▊ | 5947/9000 [4:31:20<3:47:41, 4.47s/it] {'lm_loss': '0.003815', 'visual_loss': '2.699', 'seg_loss': '0.6952', 'dino_loss': '0.9185', 'depth_loss': '0.2275', 'vggt_mse_loss': '0.2259', 'vggt_cos_loss': '0.01622', 'pidinet_loss': '0.2445', 'siglip_loss': '0.6128', 'epoch': '0.2139'} + 66%|███████████████████▊ | 5947/9000 [4:31:23<3:47:41, 4.47s/it][Dataset] cur_step=5948 phase=C_full_covt + 66%|███████████████████▊ | 5948/9000 [4:31:24<3:46:25, 4.45s/it][Dataset] cur_step=5948 phase=C_full_covt +[Dataset] cur_step=5948 phase=C_full_covt +[Dataset] cur_step=5948 phase=C_full_covt +[Dataset] cur_step=5948 phase=C_full_covt +[Dataset] cur_step=5948 phase=C_full_covt +[Dataset] cur_step=5948 phase=C_full_covt +[Dataset] cur_step=5948 phase=C_full_covt + {'loss': '3.1', 'grad_norm': '1.849', 'learning_rate': '1.414e-05', 'epoch': '0.214'} + 66%|███████████████████▊ | 5948/9000 [4:31:24<3:46:25, 4.45s/it] {'lm_loss': '0.6665', 'visual_loss': '2.836', 'seg_loss': '0.7569', 'dino_loss': '0.9182', 'depth_loss': '0.2542', 'vggt_mse_loss': '0.2523', 'vggt_cos_loss': '0.01846', 'pidinet_loss': '0.22', 'siglip_loss': '0.687', 'epoch': '0.214'} + 66%|███████████████████▊ | 5948/9000 [4:31:27<3:46:25, 4.45s/it][Dataset] cur_step=5949 phase=C_full_covt +[Dataset] cur_step=5949 phase=C_full_covt[Dataset] cur_step=5949 phase=C_full_covt + + 66%|███████████████████▊ | 5949/9000 [4:31:30<4:16:31, 5.04s/it][Dataset] cur_step=5949 phase=C_full_covt +[Dataset] cur_step=5949 phase=C_full_covt[Dataset] cur_step=5949 phase=C_full_covt + +[Dataset] cur_step=5949 phase=C_full_covt +[Dataset] cur_step=5949 phase=C_full_covt + {'loss': '2.928', 'grad_norm': '2.546', 'learning_rate': '1.413e-05', 'epoch': '0.214'} + 66%|███████████████████▊ | 5949/9000 [4:31:30<4:16:31, 5.04s/it] {'lm_loss': '0.5515', 'visual_loss': '2.543', 'seg_loss': '0.6087', 'dino_loss': '0.9126', 'depth_loss': '0.1894', 'vggt_mse_loss': '0.1882', 'vggt_cos_loss': '0.01204', 'pidinet_loss': '0.182', 'siglip_loss': '0.6507', 'epoch': '0.214'} + 66%|███████████████████▊ | 5949/9000 [4:31:33<4:16:31, 5.04s/it][Dataset] cur_step=5950 phase=C_full_covt +[Dataset] cur_step=5950 phase=C_full_covt +[Dataset] cur_step=5950 phase=C_full_covt +[Dataset] cur_step=5950 phase=C_full_covt +[Dataset] cur_step=5950 phase=C_full_covt +[Dataset] cur_step=5950 phase=C_full_covt +[Dataset] cur_step=5950 phase=C_full_covt[Dataset] cur_step=5950 phase=C_full_covt + 66%|███████████████████▊ | 5950/9000 [4:31:34<3:59:58, 4.72s/it] + {'loss': '3.248', 'grad_norm': '2.387', 'learning_rate': '1.412e-05', 'epoch': '0.2141'} + 66%|███████████████████▊ | 5950/9000 [4:31:34<3:59:58, 4.72s/it] {'lm_loss': '0.6518', 'visual_loss': '2.689', 'seg_loss': '0.7764', 'dino_loss': '0.9018', 'depth_loss': '0.2269', 'vggt_mse_loss': '0.2255', 'vggt_cos_loss': '0.01426', 'pidinet_loss': '0.2282', 'siglip_loss': '0.5557', 'epoch': '0.2141'} + 66%|███████████████████▊ | 5950/9000 [4:31:38<3:59:58, 4.72s/it][Dataset] cur_step=5951 phase=C_full_covt[Dataset] cur_step=5951 phase=C_full_covt + +[Dataset] cur_step=5951 phase=C_full_covt[Dataset] cur_step=5951 phase=C_full_covt 66%|███████████████████▊ | 5951/9000 [4:31:38<3:48:20, 4.49s/it] + +[Dataset] cur_step=5951 phase=C_full_covt +[Dataset] cur_step=5951 phase=C_full_covt +[Dataset] cur_step=5951 phase=C_full_covt +[Dataset] cur_step=5951 phase=C_full_covt + {'loss': '3.134', 'grad_norm': '3.037', 'learning_rate': '1.412e-05', 'epoch': '0.2141'} + 66%|███████████████████▊ | 5951/9000 [4:31:38<3:48:20, 4.49s/it] {'lm_loss': '0.389', 'visual_loss': '2.962', 'seg_loss': '0.8216', 'dino_loss': '0.9235', 'depth_loss': '0.2679', 'vggt_mse_loss': '0.2658', 'vggt_cos_loss': '0.02061', 'pidinet_loss': '0.2706', 'siglip_loss': '0.6781', 'epoch': '0.2141'} + 66%|███████████████████▊ | 5951/9000 [4:31:42<3:48:20, 4.49s/it][Dataset] cur_step=5952 phase=C_full_covt +[Dataset] cur_step=5952 phase=C_full_covt +[Dataset] cur_step=5952 phase=C_full_covt + 66%|███████████████████▊ | 5952/9000 [4:31:43<3:43:50, 4.41s/it][Dataset] cur_step=5952 phase=C_full_covt[Dataset] cur_step=5952 phase=C_full_covt +[Dataset] cur_step=5952 phase=C_full_covt + +[Dataset] cur_step=5952 phase=C_full_covt +[Dataset] cur_step=5952 phase=C_full_covt + {'loss': '3.216', 'grad_norm': '5.786', 'learning_rate': '1.411e-05', 'epoch': '0.2141'} + 66%|███████████████████▊ | 5952/9000 [4:31:43<3:43:50, 4.41s/it] {'lm_loss': '0.7527', 'visual_loss': '2.461', 'seg_loss': '0.6242', 'dino_loss': '0.895', 'depth_loss': '0.2422', 'vggt_mse_loss': '0.2404', 'vggt_cos_loss': '0.01765', 'pidinet_loss': '0.2393', 'siglip_loss': '0.46', 'epoch': '0.2141'} + 66%|███████████████████▊ | 5952/9000 [4:31:46<3:43:50, 4.41s/it][Dataset] cur_step=5953 phase=C_full_covt +[Dataset] cur_step=5953 phase=C_full_covt[Dataset] cur_step=5953 phase=C_full_covt[Dataset] cur_step=5953 phase=C_full_covt + +[Dataset] cur_step=5953 phase=C_full_covt + + 66%|███████████████████▊ | 5953/9000 [4:31:47<3:40:15, 4.34s/it][Dataset] cur_step=5953 phase=C_full_covt +[Dataset] cur_step=5953 phase=C_full_covt +[Dataset] cur_step=5953 phase=C_full_covt + {'loss': '2.929', 'grad_norm': '2.822', 'learning_rate': '1.41e-05', 'epoch': '0.2142'} + 66%|███████████████████▊ | 5953/9000 [4:31:47<3:40:15, 4.34s/it] {'lm_loss': '0.6847', 'visual_loss': '2.884', 'seg_loss': '0.8355', 'dino_loss': '0.9107', 'depth_loss': '0.2541', 'vggt_mse_loss': '0.2524', 'vggt_cos_loss': '0.01681', 'pidinet_loss': '0.2428', 'siglip_loss': '0.6413', 'epoch': '0.2142'} + 66%|███████████████████▊ | 5953/9000 [4:31:50<3:40:15, 4.34s/it][Dataset] cur_step=5954 phase=C_full_covt +[Dataset] cur_step=5954 phase=C_full_covt +[Dataset] cur_step=5954 phase=C_full_covt +[Dataset] cur_step=5954 phase=C_full_covt +[Dataset] cur_step=5954 phase=C_full_covt +[Dataset] cur_step=5954 phase=C_full_covt + 66%|███████████████████▊ | 5954/9000 [4:31:51<3:35:59, 4.25s/it][Dataset] cur_step=5954 phase=C_full_covt +[Dataset] cur_step=5954 phase=C_full_covt + {'loss': '3.019', 'grad_norm': '4.811', 'learning_rate': '1.409e-05', 'epoch': '0.2142'} + 66%|███████████████████▊ | 5954/9000 [4:31:51<3:35:59, 4.25s/it] {'lm_loss': '0.3944', 'visual_loss': '2.629', 'seg_loss': '0.5561', 'dino_loss': '0.9453', 'depth_loss': '0.3922', 'vggt_mse_loss': '0.3893', 'vggt_cos_loss': '0.02876', 'pidinet_loss': '0.2094', 'siglip_loss': '0.5264', 'epoch': '0.2142'} + 66%|███████████████████▊ | 5954/9000 [4:31:54<3:35:59, 4.25s/it][Dataset] cur_step=5955 phase=C_full_covt[Dataset] cur_step=5955 phase=C_full_covt + +[Dataset] cur_step=5955 phase=C_full_covt +[Dataset] cur_step=5955 phase=C_full_covt +[Dataset] cur_step=5955 phase=C_full_covt +[Dataset] cur_step=5955 phase=C_full_covt + 66%|███████████████████▊ | 5955/9000 [4:31:55<3:28:03, 4.10s/it][Dataset] cur_step=5955 phase=C_full_covt +[Dataset] cur_step=5955 phase=C_full_covt + {'loss': '3.008', 'grad_norm': '3.085', 'learning_rate': '1.408e-05', 'epoch': '0.2142'} + 66%|███████████████████▊ | 5955/9000 [4:31:55<3:28:03, 4.10s/it] {'lm_loss': '0.4623', 'visual_loss': '2.785', 'seg_loss': '0.7264', 'dino_loss': '0.9338', 'depth_loss': '0.262', 'vggt_mse_loss': '0.26', 'vggt_cos_loss': '0.01951', 'pidinet_loss': '0.2569', 'siglip_loss': '0.6054', 'epoch': '0.2142'} + 66%|███████████████████▊ | 5955/9000 [4:31:58<3:28:03, 4.10s/it][Dataset] cur_step=5956 phase=C_full_covt[Dataset] cur_step=5956 phase=C_full_covt + +[Dataset] cur_step=5956 phase=C_full_covt + 66%|███████████████████▊ | 5956/9000 [4:31:59<3:26:18, 4.07s/it][Dataset] cur_step=5956 phase=C_full_covt +[Dataset] cur_step=5956 phase=C_full_covt +[Dataset] cur_step=5956 phase=C_full_covt +[Dataset] cur_step=5956 phase=C_full_covt +[Dataset] cur_step=5956 phase=C_full_covt + {'loss': '3.289', 'grad_norm': '2.009', 'learning_rate': '1.407e-05', 'epoch': '0.2143'} + 66%|███████████████████▊ | 5956/9000 [4:31:59<3:26:18, 4.07s/it] {'lm_loss': '0.3244', 'visual_loss': '2.865', 'seg_loss': '0.7592', 'dino_loss': '0.9151', 'depth_loss': '0.3007', 'vggt_mse_loss': '0.2982', 'vggt_cos_loss': '0.02516', 'pidinet_loss': '0.2828', 'siglip_loss': '0.6069', 'epoch': '0.2143'} + 66%|███████████████████▊ | 5956/9000 [4:32:02<3:26:18, 4.07s/it][Dataset] cur_step=5957 phase=C_full_covt +[Dataset] cur_step=5957 phase=C_full_covt +[Dataset] cur_step=5957 phase=C_full_covt[Dataset] cur_step=5957 phase=C_full_covt + +[Dataset] cur_step=5957 phase=C_full_covt +[Dataset] cur_step=5957 phase=C_full_covt +[Dataset] cur_step=5957 phase=C_full_covt +[Dataset] cur_step=5957 phase=C_full_covt 66%|███████████████████▊ | 5957/9000 [4:32:03<3:25:33, 4.05s/it] + {'loss': '3.056', 'grad_norm': '2.807', 'learning_rate': '1.407e-05', 'epoch': '0.2143'} + 66%|███████████████████▊ | 5957/9000 [4:32:03<3:25:33, 4.05s/it] {'lm_loss': '0.4981', 'visual_loss': '3.145', 'seg_loss': '0.7541', 'dino_loss': '0.8974', 'depth_loss': '0.2145', 'vggt_mse_loss': '0.2132', 'vggt_cos_loss': '0.01314', 'pidinet_loss': '0.3035', 'siglip_loss': '0.9755', 'epoch': '0.2143'} + 66%|███████████████████▊ | 5957/9000 [4:32:06<3:25:33, 4.05s/it][Dataset] cur_step=5958 phase=C_full_covt +[Dataset] cur_step=5958 phase=C_full_covt + 66%|███████████████████▊ | 5958/9000 [4:32:07<3:25:31, 4.05s/it][Dataset] cur_step=5958 phase=C_full_covt +[Dataset] cur_step=5958 phase=C_full_covt +[Dataset] cur_step=5958 phase=C_full_covt +[Dataset] cur_step=5958 phase=C_full_covt +[Dataset] cur_step=5958 phase=C_full_covt +[Dataset] cur_step=5958 phase=C_full_covt + {'loss': '3.091', 'grad_norm': '1.747', 'learning_rate': '1.406e-05', 'epoch': '0.2143'} + 66%|███████████████████▊ | 5958/9000 [4:32:07<3:25:31, 4.05s/it] {'lm_loss': '0.01199', 'visual_loss': '2.794', 'seg_loss': '0.7495', 'dino_loss': '0.9121', 'depth_loss': '0.3316', 'vggt_mse_loss': '0.3288', 'vggt_cos_loss': '0.02836', 'pidinet_loss': '0.2508', 'siglip_loss': '0.5504', 'epoch': '0.2143'} + 66%|███████████████████▊ | 5958/9000 [4:32:10<3:25:31, 4.05s/it][Dataset] cur_step=5959 phase=C_full_covt +[Dataset] cur_step=5959 phase=C_full_covt[Dataset] cur_step=5959 phase=C_full_covt + +[Dataset] cur_step=5959 phase=C_full_covt + 66%|███████████████████▊ | 5959/9000 [4:32:14<4:13:36, 5.00s/it][Dataset] cur_step=5959 phase=C_full_covt[Dataset] cur_step=5959 phase=C_full_covt + +[Dataset] cur_step=5959 phase=C_full_covt +[Dataset] cur_step=5959 phase=C_full_covt + {'loss': '3.056', 'grad_norm': '1.618', 'learning_rate': '1.405e-05', 'epoch': '0.2144'} + 66%|███████████████████▊ | 5959/9000 [4:32:14<4:13:36, 5.00s/it] {'lm_loss': '0.3233', 'visual_loss': '2.681', 'seg_loss': '0.7341', 'dino_loss': '0.9055', 'depth_loss': '0.275', 'vggt_mse_loss': '0.2731', 'vggt_cos_loss': '0.01912', 'pidinet_loss': '0.1972', 'siglip_loss': '0.5692', 'epoch': '0.2144'} + 66%|███████████████████▊ | 5959/9000 [4:32:17<4:13:36, 5.00s/it][Dataset] cur_step=5960 phase=C_full_covt +[Dataset] cur_step=5960 phase=C_full_covt[Dataset] cur_step=5960 phase=C_full_covt + +[Dataset] cur_step=5960 phase=C_full_covt +[Dataset] cur_step=5960 phase=C_full_covt[Dataset] cur_step=5960 phase=C_full_covt + +[Dataset] cur_step=5960 phase=C_full_covt + 66%|███████████████████▊ | 5960/9000 [4:32:18<3:56:29, 4.67s/it][Dataset] cur_step=5960 phase=C_full_covt + {'loss': '3.055', 'grad_norm': '2.116', 'learning_rate': '1.404e-05', 'epoch': '0.2144'} + 66%|███████████████████▊ | 5960/9000 [4:32:18<3:56:29, 4.67s/it] {'lm_loss': '0.2848', 'visual_loss': '2.527', 'seg_loss': '0.5363', 'dino_loss': '0.9066', 'depth_loss': '0.226', 'vggt_mse_loss': '0.2246', 'vggt_cos_loss': '0.01412', 'pidinet_loss': '0.2534', 'siglip_loss': '0.6048', 'epoch': '0.2144'} + 66%|███████████████████▊ | 5960/9000 [4:32:21<3:56:29, 4.67s/it][Dataset] cur_step=5961 phase=C_full_covt +[Dataset] cur_step=5961 phase=C_full_covt +[Dataset] cur_step=5961 phase=C_full_covt +[Dataset] cur_step=5961 phase=C_full_covt +[Dataset] cur_step=5961 phase=C_full_covt +[Dataset] cur_step=5961 phase=C_full_covt + 66%|███████████████████▊ | 5961/9000 [4:32:22<3:47:34, 4.49s/it][Dataset] cur_step=5961 phase=C_full_covt +[Dataset] cur_step=5961 phase=C_full_covt + {'loss': '3.244', 'grad_norm': '1.797', 'learning_rate': '1.403e-05', 'epoch': '0.2144'} + 66%|███████████████████▊ | 5961/9000 [4:32:22<3:47:34, 4.49s/it] {'lm_loss': '0.3063', 'visual_loss': '2.813', 'seg_loss': '0.7428', 'dino_loss': '0.9101', 'depth_loss': '0.3163', 'vggt_mse_loss': '0.3142', 'vggt_cos_loss': '0.02163', 'pidinet_loss': '0.2268', 'siglip_loss': '0.6165', 'epoch': '0.2144'} + 66%|███████████████████▊ | 5961/9000 [4:32:25<3:47:34, 4.49s/it][Dataset] cur_step=5962 phase=C_full_covt +[Dataset] cur_step=5962 phase=C_full_covt +[Dataset] cur_step=5962 phase=C_full_covt +[Dataset] cur_step=5962 phase=C_full_covt[Dataset] cur_step=5962 phase=C_full_covt[Dataset] cur_step=5962 phase=C_full_covt + + +[Dataset] cur_step=5962 phase=C_full_covt + 66%|███████████████████▊ | 5962/9000 [4:32:26<3:38:14, 4.31s/it][Dataset] cur_step=5962 phase=C_full_covt + {'loss': '3.137', 'grad_norm': '3.144', 'learning_rate': '1.402e-05', 'epoch': '0.2145'} + 66%|███████████████████▊ | 5962/9000 [4:32:26<3:38:14, 4.31s/it] {'lm_loss': '0.2177', 'visual_loss': '2.713', 'seg_loss': '0.6846', 'dino_loss': '0.9157', 'depth_loss': '0.1598', 'vggt_mse_loss': '0.1587', 'vggt_cos_loss': '0.01022', 'pidinet_loss': '0.2516', 'siglip_loss': '0.7009', 'epoch': '0.2145'} + 66%|███████████████████▊ | 5962/9000 [4:32:29<3:38:14, 4.31s/it][Dataset] cur_step=5963 phase=C_full_covt +[Dataset] cur_step=5963 phase=C_full_covt[Dataset] cur_step=5963 phase=C_full_covt + +[Dataset] cur_step=5963 phase=C_full_covt 66%|███████████████████▉ | 5963/9000 [4:32:30<3:36:44, 4.28s/it][Dataset] cur_step=5963 phase=C_full_covt + +[Dataset] cur_step=5963 phase=C_full_covt +[Dataset] cur_step=5963 phase=C_full_covt +[Dataset] cur_step=5963 phase=C_full_covt + {'loss': '3.183', 'grad_norm': '2.822', 'learning_rate': '1.402e-05', 'epoch': '0.2145'} + 66%|███████████████████▉ | 5963/9000 [4:32:30<3:36:44, 4.28s/it] {'lm_loss': '0.7846', 'visual_loss': '2.49', 'seg_loss': '0.6428', 'dino_loss': '0.8983', 'depth_loss': '0.2131', 'vggt_mse_loss': '0.2117', 'vggt_cos_loss': '0.01416', 'pidinet_loss': '0.1915', 'siglip_loss': '0.5438', 'epoch': '0.2145'} + 66%|███████████████████▉ | 5963/9000 [4:32:33<3:36:44, 4.28s/it][Dataset] cur_step=5964 phase=C_full_covt +[Dataset] cur_step=5964 phase=C_full_covt +[Dataset] cur_step=5964 phase=C_full_covt +[Dataset] cur_step=5964 phase=C_full_covt[Dataset] cur_step=5964 phase=C_full_covt[Dataset] cur_step=5964 phase=C_full_covt + + +[Dataset] cur_step=5964 phase=C_full_covt +[Dataset] cur_step=5964 phase=C_full_covt 66%|███████████████████▉ | 5964/9000 [4:32:34<3:32:24, 4.20s/it] + {'loss': '3.041', 'grad_norm': '3.276', 'learning_rate': '1.401e-05', 'epoch': '0.2146'} + 66%|███████████████████▉ | 5964/9000 [4:32:34<3:32:24, 4.20s/it] {'lm_loss': '0.342', 'visual_loss': '2.702', 'seg_loss': '0.7479', 'dino_loss': '0.9333', 'depth_loss': '0.2993', 'vggt_mse_loss': '0.297', 'vggt_cos_loss': '0.02259', 'pidinet_loss': '0.2328', 'siglip_loss': '0.4892', 'epoch': '0.2146'} + 66%|███████████████████▉ | 5964/9000 [4:32:37<3:32:24, 4.20s/it][Dataset] cur_step=5965 phase=C_full_covt +[Dataset] cur_step=5965 phase=C_full_covt +[Dataset] cur_step=5965 phase=C_full_covt +[Dataset] cur_step=5965 phase=C_full_covt +[Dataset] cur_step=5965 phase=C_full_covt +[Dataset] cur_step=5965 phase=C_full_covt + 66%|███████████████████▉ | 5965/9000 [4:32:38<3:27:55, 4.11s/it][Dataset] cur_step=5965 phase=C_full_covt +[Dataset] cur_step=5965 phase=C_full_covt + {'loss': '3.138', 'grad_norm': '2.227', 'learning_rate': '1.4e-05', 'epoch': '0.2146'} + 66%|███████████████████▉ | 5965/9000 [4:32:38<3:27:55, 4.11s/it] {'lm_loss': '0.6962', 'visual_loss': '2.466', 'seg_loss': '0.5954', 'dino_loss': '0.8834', 'depth_loss': '0.1914', 'vggt_mse_loss': '0.1902', 'vggt_cos_loss': '0.01196', 'pidinet_loss': '0.2497', 'siglip_loss': '0.5461', 'epoch': '0.2146'} + 66%|███████████████████▉ | 5965/9000 [4:32:42<3:27:55, 4.11s/it][Dataset] cur_step=5966 phase=C_full_covt +[Dataset] cur_step=5966 phase=C_full_covt +[Dataset] cur_step=5966 phase=C_full_covt +[Dataset] cur_step=5966 phase=C_full_covt +[Dataset] cur_step=5966 phase=C_full_covt +[Dataset] cur_step=5966 phase=C_full_covt +[Dataset] cur_step=5966 phase=C_full_covt +[Dataset] cur_step=5966 phase=C_full_covt + 66%|███████████████████▉ | 5966/9000 [4:32:42<3:34:47, 4.25s/it] {'loss': '3.33', 'grad_norm': '30.45', 'learning_rate': '1.399e-05', 'epoch': '0.2146'} + 66%|███████████████████▉ | 5966/9000 [4:32:42<3:34:47, 4.25s/it] {'lm_loss': '0.8664', 'visual_loss': '2.824', 'seg_loss': '0.7214', 'dino_loss': '0.9074', 'depth_loss': '0.2763', 'vggt_mse_loss': '0.2744', 'vggt_cos_loss': '0.01898', 'pidinet_loss': '0.2718', 'siglip_loss': '0.6474', 'epoch': '0.2146'} + 66%|███████████████████▉ | 5966/9000 [4:32:46<3:34:47, 4.25s/it][Dataset] cur_step=5967 phase=C_full_covt[Dataset] cur_step=5967 phase=C_full_covt[Dataset] cur_step=5967 phase=C_full_covt + + +[Dataset] cur_step=5967 phase=C_full_covt 66%|███████████████████▉ | 5967/9000 [4:32:47<3:32:20, 4.20s/it] +[Dataset] cur_step=5967 phase=C_full_covt +[Dataset] cur_step=5967 phase=C_full_covt +[Dataset] cur_step=5967 phase=C_full_covt +[Dataset] cur_step=5967 phase=C_full_covt + {'loss': '3.322', 'grad_norm': '3.165', 'learning_rate': '1.398e-05', 'epoch': '0.2147'} + 66%|███████████████████▉ | 5967/9000 [4:32:47<3:32:20, 4.20s/it] {'lm_loss': '0.01171', 'visual_loss': '2.57', 'seg_loss': '0.7261', 'dino_loss': '0.9172', 'depth_loss': '0.2', 'vggt_mse_loss': '0.1985', 'vggt_cos_loss': '0.01524', 'pidinet_loss': '0.2182', 'siglip_loss': '0.5089', 'epoch': '0.2147'} + 66%|███████████████████▉ | 5967/9000 [4:32:50<3:32:20, 4.20s/it][Dataset] cur_step=5968 phase=C_full_covt +[Dataset] cur_step=5968 phase=C_full_covt +[Dataset] cur_step=5968 phase=C_full_covt +[Dataset] cur_step=5968 phase=C_full_covt[Dataset] cur_step=5968 phase=C_full_covt + +[Dataset] cur_step=5968 phase=C_full_covt +[Dataset] cur_step=5968 phase=C_full_covt[Dataset] cur_step=5968 phase=C_full_covt + + 66%|███████████████████▉ | 5968/9000 [4:32:50<3:27:16, 4.10s/it] {'loss': '3.072', 'grad_norm': '1.812', 'learning_rate': '1.397e-05', 'epoch': '0.2147'} + 66%|███████████████████▉ | 5968/9000 [4:32:50<3:27:16, 4.10s/it] {'lm_loss': '0.02166', 'visual_loss': '2.736', 'seg_loss': '0.7768', 'dino_loss': '0.9158', 'depth_loss': '0.2134', 'vggt_mse_loss': '0.2118', 'vggt_cos_loss': '0.01577', 'pidinet_loss': '0.2502', 'siglip_loss': '0.5799', 'epoch': '0.2147'} + 66%|███████████████████▉ | 5968/9000 [4:32:53<3:27:16, 4.10s/it][Dataset] cur_step=5969 phase=C_full_covt +[Dataset] cur_step=5969 phase=C_full_covt +[Dataset] cur_step=5969 phase=C_full_covt +[Dataset] cur_step=5969 phase=C_full_covt[Dataset] cur_step=5969 phase=C_full_covt + +[Dataset] cur_step=5969 phase=C_full_covt + 66%|███████████████████▉ | 5969/9000 [4:32:54<3:26:58, 4.10s/it][Dataset] cur_step=5969 phase=C_full_covt +[Dataset] cur_step=5969 phase=C_full_covt + {'loss': '3.03', 'grad_norm': '3.586', 'learning_rate': '1.397e-05', 'epoch': '0.2147'} + 66%|███████████████████▉ | 5969/9000 [4:32:54<3:26:58, 4.10s/it] {'lm_loss': '0.7205', 'visual_loss': '2.667', 'seg_loss': '0.693', 'dino_loss': '0.8998', 'depth_loss': '0.3093', 'vggt_mse_loss': '0.3067', 'vggt_cos_loss': '0.02578', 'pidinet_loss': '0.2483', 'siglip_loss': '0.5171', 'epoch': '0.2147'} + 66%|███████████████████▉ | 5969/9000 [4:32:57<3:26:58, 4.10s/it][Dataset] cur_step=5970 phase=C_full_covt +[Dataset] cur_step=5970 phase=C_full_covt[Dataset] cur_step=5970 phase=C_full_covt + + 66%|███████████████████▉ | 5970/9000 [4:32:58<3:19:50, 3.96s/it][Dataset] cur_step=5970 phase=C_full_covt +[Dataset] cur_step=5970 phase=C_full_covt[Dataset] cur_step=5970 phase=C_full_covt + +[Dataset] cur_step=5970 phase=C_full_covt +[Dataset] cur_step=5970 phase=C_full_covt + {'loss': '3.119', 'grad_norm': '10.28', 'learning_rate': '1.396e-05', 'epoch': '0.2148'} + 66%|███████████████████▉ | 5970/9000 [4:32:58<3:19:50, 3.96s/it] {'lm_loss': '0.1732', 'visual_loss': '2.746', 'seg_loss': '0.7215', 'dino_loss': '0.9279', 'depth_loss': '0.2287', 'vggt_mse_loss': '0.2272', 'vggt_cos_loss': '0.01485', 'pidinet_loss': '0.2916', 'siglip_loss': '0.5759', 'epoch': '0.2148'} + 66%|███████████████████▉ | 5970/9000 [4:33:02<3:19:50, 3.96s/it][Dataset] cur_step=5971 phase=C_full_covt[Dataset] cur_step=5971 phase=C_full_covt + +[Dataset] cur_step=5971 phase=C_full_covt + 66%|███████████████████▉ | 5971/9000 [4:33:02<3:23:33, 4.03s/it][Dataset] cur_step=5971 phase=C_full_covt +[Dataset] cur_step=5971 phase=C_full_covt +[Dataset] cur_step=5971 phase=C_full_covt +[Dataset] cur_step=5971 phase=C_full_covt +[Dataset] cur_step=5971 phase=C_full_covt + {'loss': '3.203', 'grad_norm': '16.02', 'learning_rate': '1.395e-05', 'epoch': '0.2148'} + 66%|███████████████████▉ | 5971/9000 [4:33:02<3:23:33, 4.03s/it] {'lm_loss': '0.2621', 'visual_loss': '2.838', 'seg_loss': '0.7903', 'dino_loss': '0.9057', 'depth_loss': '0.2535', 'vggt_mse_loss': '0.252', 'vggt_cos_loss': '0.01415', 'pidinet_loss': '0.2431', 'siglip_loss': '0.6453', 'epoch': '0.2148'} + 66%|███████████████████▉ | 5971/9000 [4:33:06<3:23:33, 4.03s/it][Dataset] cur_step=5972 phase=C_full_covt + 66%|███████████████████▉ | 5972/9000 [4:33:06<3:22:09, 4.01s/it][Dataset] cur_step=5972 phase=C_full_covt +[Dataset] cur_step=5972 phase=C_full_covt +[Dataset] cur_step=5972 phase=C_full_covt[Dataset] cur_step=5972 phase=C_full_covt + +[Dataset] cur_step=5972 phase=C_full_covt +[Dataset] cur_step=5972 phase=C_full_covt +[Dataset] cur_step=5972 phase=C_full_covt + {'loss': '3.188', 'grad_norm': '4.624', 'learning_rate': '1.394e-05', 'epoch': '0.2148'} + 66%|███████████████████▉ | 5972/9000 [4:33:06<3:22:09, 4.01s/it] {'lm_loss': '0.00938', 'visual_loss': '2.568', 'seg_loss': '0.6021', 'dino_loss': '0.9122', 'depth_loss': '0.2531', 'vggt_mse_loss': '0.2512', 'vggt_cos_loss': '0.01942', 'pidinet_loss': '0.2234', 'siglip_loss': '0.5776', 'epoch': '0.2148'} + 66%|███████████████████▉ | 5972/9000 [4:33:10<3:22:09, 4.01s/it][Dataset] cur_step=5973 phase=C_full_covt +[Dataset] cur_step=5973 phase=C_full_covt + 66%|███████████████████▉ | 5973/9000 [4:33:10<3:21:16, 3.99s/it][Dataset] cur_step=5973 phase=C_full_covt +[Dataset] cur_step=5973 phase=C_full_covt +[Dataset] cur_step=5973 phase=C_full_covt +[Dataset] cur_step=5973 phase=C_full_covt +[Dataset] cur_step=5973 phase=C_full_covt +[Dataset] cur_step=5973 phase=C_full_covt + {'loss': '2.951', 'grad_norm': '2.094', 'learning_rate': '1.393e-05', 'epoch': '0.2149'} + 66%|███████████████████▉ | 5973/9000 [4:33:10<3:21:16, 3.99s/it] {'lm_loss': '0.003363', 'visual_loss': '2.685', 'seg_loss': '0.7391', 'dino_loss': '0.9156', 'depth_loss': '0.2966', 'vggt_mse_loss': '0.2945', 'vggt_cos_loss': '0.02107', 'pidinet_loss': '0.2517', 'siglip_loss': '0.4818', 'epoch': '0.2149'} + 66%|███████████████████▉ | 5973/9000 [4:33:14<3:21:16, 3.99s/it][Dataset] cur_step=5974 phase=C_full_covt + 66%|███████████████████▉ | 5974/9000 [4:33:14<3:20:37, 3.98s/it][Dataset] cur_step=5974 phase=C_full_covt +[Dataset] cur_step=5974 phase=C_full_covt +[Dataset] cur_step=5974 phase=C_full_covt +[Dataset] cur_step=5974 phase=C_full_covt +[Dataset] cur_step=5974 phase=C_full_covt +[Dataset] cur_step=5974 phase=C_full_covt +[Dataset] cur_step=5974 phase=C_full_covt + {'loss': '3.104', 'grad_norm': '2.372', 'learning_rate': '1.393e-05', 'epoch': '0.2149'} + 66%|███████████████████▉ | 5974/9000 [4:33:14<3:20:37, 3.98s/it] {'lm_loss': '0.3173', 'visual_loss': '2.456', 'seg_loss': '0.6771', 'dino_loss': '0.9035', 'depth_loss': '0.2008', 'vggt_mse_loss': '0.1996', 'vggt_cos_loss': '0.01154', 'pidinet_loss': '0.2016', 'siglip_loss': '0.4735', 'epoch': '0.2149'} + 66%|███████████████████▉ | 5974/9000 [4:33:18<3:20:37, 3.98s/it][Dataset] cur_step=5975 phase=C_full_covt +[Dataset] cur_step=5975 phase=C_full_covt[Dataset] cur_step=5975 phase=C_full_covt + +[Dataset] cur_step=5975 phase=C_full_covt + 66%|███████████████████▉ | 5975/9000 [4:33:18<3:23:14, 4.03s/it][Dataset] cur_step=5975 phase=C_full_covt +[Dataset] cur_step=5975 phase=C_full_covt +[Dataset] cur_step=5975 phase=C_full_covt +[Dataset] cur_step=5975 phase=C_full_covt + {'loss': '3.184', 'grad_norm': '2.542', 'learning_rate': '1.392e-05', 'epoch': '0.215'} + 66%|███████████████████▉ | 5975/9000 [4:33:18<3:23:14, 4.03s/it] {'lm_loss': '0.02766', 'visual_loss': '2.747', 'seg_loss': '0.6649', 'dino_loss': '0.9278', 'depth_loss': '0.3701', 'vggt_mse_loss': '0.3673', 'vggt_cos_loss': '0.02742', 'pidinet_loss': '0.2419', 'siglip_loss': '0.542', 'epoch': '0.215'} + 66%|███████████████████▉ | 5975/9000 [4:33:22<3:23:14, 4.03s/it][Dataset] cur_step=5976 phase=C_full_covt +[Dataset] cur_step=5976 phase=C_full_covt[Dataset] cur_step=5976 phase=C_full_covt + +[Dataset] cur_step=5976 phase=C_full_covt +[Dataset] cur_step=5976 phase=C_full_covt + 66%|███████████████████▉ | 5976/9000 [4:33:22<3:25:19, 4.07s/it][Dataset] cur_step=5976 phase=C_full_covt +[Dataset] cur_step=5976 phase=C_full_covt +[Dataset] cur_step=5976 phase=C_full_covt + {'loss': '3.253', 'grad_norm': '2.749', 'learning_rate': '1.391e-05', 'epoch': '0.215'} + 66%|███████████████████▉ | 5976/9000 [4:33:22<3:25:19, 4.07s/it] {'lm_loss': '0.5945', 'visual_loss': '2.649', 'seg_loss': '0.7266', 'dino_loss': '0.9202', 'depth_loss': '0.2442', 'vggt_mse_loss': '0.2422', 'vggt_cos_loss': '0.02014', 'pidinet_loss': '0.2077', 'siglip_loss': '0.5501', 'epoch': '0.215'} + 66%|███████████████████▉ | 5976/9000 [4:33:25<3:25:19, 4.07s/it][Dataset] cur_step=5977 phase=C_full_covt +[Dataset] cur_step=5977 phase=C_full_covt +[Dataset] cur_step=5977 phase=C_full_covt +[Dataset] cur_step=5977 phase=C_full_covt +[Dataset] cur_step=5977 phase=C_full_covt[Dataset] cur_step=5977 phase=C_full_covt + + 66%|███████████████████▉ | 5977/9000 [4:33:27<3:27:47, 4.12s/it][Dataset] cur_step=5977 phase=C_full_covt +[Dataset] cur_step=5977 phase=C_full_covt + {'loss': '3.16', 'grad_norm': '2.16', 'learning_rate': '1.39e-05', 'epoch': '0.215'} + 66%|███████████████████▉ | 5977/9000 [4:33:27<3:27:47, 4.12s/it] {'lm_loss': '0.3942', 'visual_loss': '2.657', 'seg_loss': '0.7294', 'dino_loss': '0.9072', 'depth_loss': '0.1795', 'vggt_mse_loss': '0.1784', 'vggt_cos_loss': '0.0112', 'pidinet_loss': '0.2588', 'siglip_loss': '0.5823', 'epoch': '0.215'} + 66%|███████████████████▉ | 5977/9000 [4:33:30<3:27:47, 4.12s/it][Dataset] cur_step=5978 phase=C_full_covt +[Dataset] cur_step=5978 phase=C_full_covt +[Dataset] cur_step=5978 phase=C_full_covt[Dataset] cur_step=5978 phase=C_full_covt 66%|███████████████████▉ | 5978/9000 [4:33:30<3:22:11, 4.01s/it] + +[Dataset] cur_step=5978 phase=C_full_covt +[Dataset] cur_step=5978 phase=C_full_covt +[Dataset] cur_step=5978 phase=C_full_covt +[Dataset] cur_step=5978 phase=C_full_covt + {'loss': '2.913', 'grad_norm': '2.353', 'learning_rate': '1.389e-05', 'epoch': '0.2151'} + 66%|███████████████████▉ | 5978/9000 [4:33:30<3:22:11, 4.01s/it] {'lm_loss': '0.3859', 'visual_loss': '2.546', 'seg_loss': '0.6708', 'dino_loss': '0.8935', 'depth_loss': '0.2632', 'vggt_mse_loss': '0.2614', 'vggt_cos_loss': '0.01745', 'pidinet_loss': '0.2255', 'siglip_loss': '0.4933', 'epoch': '0.2151'} + 66%|███████████████████▉ | 5978/9000 [4:33:34<3:22:11, 4.01s/it][Dataset] cur_step=5979 phase=C_full_covt[Dataset] cur_step=5979 phase=C_full_covt + +[Dataset] cur_step=5979 phase=C_full_covt[Dataset] cur_step=5979 phase=C_full_covt + + 66%|███████████████████▉ | 5979/9000 [4:33:35<3:23:38, 4.04s/it][Dataset] cur_step=5979 phase=C_full_covt +[Dataset] cur_step=5979 phase=C_full_covt +[Dataset] cur_step=5979 phase=C_full_covt +[Dataset] cur_step=5979 phase=C_full_covt + {'loss': '2.965', 'grad_norm': '1.643', 'learning_rate': '1.388e-05', 'epoch': '0.2151'} + 66%|███████████████████▉ | 5979/9000 [4:33:35<3:23:38, 4.04s/it] {'lm_loss': '0.5016', 'visual_loss': '2.848', 'seg_loss': '0.7292', 'dino_loss': '0.9161', 'depth_loss': '0.3513', 'vggt_mse_loss': '0.3486', 'vggt_cos_loss': '0.02647', 'pidinet_loss': '0.2804', 'siglip_loss': '0.5714', 'epoch': '0.2151'} + 66%|███████████████████▉ | 5979/9000 [4:33:38<3:23:38, 4.04s/it][Dataset] cur_step=5980 phase=C_full_covt +[Dataset] cur_step=5980 phase=C_full_covt +[Dataset] cur_step=5980 phase=C_full_covt + 66%|███████████████████▉ | 5980/9000 [4:33:38<3:19:51, 3.97s/it][Dataset] cur_step=5980 phase=C_full_covt +[Dataset] cur_step=5980 phase=C_full_covt +[Dataset] cur_step=5980 phase=C_full_covt +[Dataset] cur_step=5980 phase=C_full_covt +[Dataset] cur_step=5980 phase=C_full_covt + {'loss': '3.301', 'grad_norm': '2.018', 'learning_rate': '1.388e-05', 'epoch': '0.2151'} + 66%|███████████████████▉ | 5980/9000 [4:33:38<3:19:51, 3.97s/it] {'lm_loss': '0.01758', 'visual_loss': '2.788', 'seg_loss': '0.8551', 'dino_loss': '0.9226', 'depth_loss': '0.2579', 'vggt_mse_loss': '0.2561', 'vggt_cos_loss': '0.01799', 'pidinet_loss': '0.2211', 'siglip_loss': '0.5309', 'epoch': '0.2151'} + 66%|███████████████████▉ | 5980/9000 [4:33:41<3:19:51, 3.97s/it][Dataset] cur_step=5981 phase=C_full_covt +[Dataset] cur_step=5981 phase=C_full_covt +[Dataset] cur_step=5981 phase=C_full_covt +[Dataset] cur_step=5981 phase=C_full_covt +[Dataset] cur_step=5981 phase=C_full_covt +[Dataset] cur_step=5981 phase=C_full_covt +[Dataset] cur_step=5981 phase=C_full_covt +[Dataset] cur_step=5981 phase=C_full_covt + 66%|███████████████████▉ | 5981/9000 [4:33:42<3:17:02, 3.92s/it] {'loss': '3.094', 'grad_norm': '2.443', 'learning_rate': '1.387e-05', 'epoch': '0.2152'} + 66%|███████████████████▉ | 5981/9000 [4:33:42<3:17:02, 3.92s/it] {'lm_loss': '0.47', 'visual_loss': '2.803', 'seg_loss': '0.7005', 'dino_loss': '0.9055', 'depth_loss': '0.3465', 'vggt_mse_loss': '0.3435', 'vggt_cos_loss': '0.0293', 'pidinet_loss': '0.2128', 'siglip_loss': '0.6382', 'epoch': '0.2152'} + 66%|███████████████████▉ | 5981/9000 [4:33:45<3:17:02, 3.92s/it][Dataset] cur_step=5982 phase=C_full_covt +[Dataset] cur_step=5982 phase=C_full_covt +[Dataset] cur_step=5982 phase=C_full_covt[Dataset] cur_step=5982 phase=C_full_covt + +[Dataset] cur_step=5982 phase=C_full_covt + 66%|███████████████████▉ | 5982/9000 [4:33:46<3:20:14, 3.98s/it][Dataset] cur_step=5982 phase=C_full_covt +[Dataset] cur_step=5982 phase=C_full_covt +[Dataset] cur_step=5982 phase=C_full_covt + {'loss': '3.153', 'grad_norm': '2.285', 'learning_rate': '1.386e-05', 'epoch': '0.2152'} + 66%|███████████████████▉ | 5982/9000 [4:33:46<3:20:14, 3.98s/it] {'lm_loss': '0.4416', 'visual_loss': '2.917', 'seg_loss': '0.8715', 'dino_loss': '0.9271', 'depth_loss': '0.2413', 'vggt_mse_loss': '0.2395', 'vggt_cos_loss': '0.01817', 'pidinet_loss': '0.202', 'siglip_loss': '0.6751', 'epoch': '0.2152'} + 66%|███████████████████▉ | 5982/9000 [4:33:49<3:20:14, 3.98s/it][Dataset] cur_step=5983 phase=C_full_covt +[Dataset] cur_step=5983 phase=C_full_covt +[Dataset] cur_step=5983 phase=C_full_covt +[Dataset] cur_step=5983 phase=C_full_covt +[Dataset] cur_step=5983 phase=C_full_covt[Dataset] cur_step=5983 phase=C_full_covt + +[Dataset] cur_step=5983 phase=C_full_covt + 66%|███████████████████▉ | 5983/9000 [4:33:50<3:20:23, 3.99s/it][Dataset] cur_step=5983 phase=C_full_covt + {'loss': '3.099', 'grad_norm': '2.358', 'learning_rate': '1.385e-05', 'epoch': '0.2152'} + 66%|███████████████████▉ | 5983/9000 [4:33:50<3:20:23, 3.99s/it] {'lm_loss': '0.007438', 'visual_loss': '2.638', 'seg_loss': '0.709', 'dino_loss': '0.8781', 'depth_loss': '0.2415', 'vggt_mse_loss': '0.24', 'vggt_cos_loss': '0.01468', 'pidinet_loss': '0.2256', 'siglip_loss': '0.5837', 'epoch': '0.2152'} + 66%|███████████████████▉ | 5983/9000 [4:33:54<3:20:23, 3.99s/it][Dataset] cur_step=5984 phase=C_full_covt +[Dataset] cur_step=5984 phase=C_full_covt +[Dataset] cur_step=5984 phase=C_full_covt +[Dataset] cur_step=5984 phase=C_full_covt +[Dataset] cur_step=5984 phase=C_full_covt +[Dataset] cur_step=5984 phase=C_full_covt + 66%|███████████████████▉ | 5984/9000 [4:33:54<3:22:42, 4.03s/it][Dataset] cur_step=5984 phase=C_full_covt +[Dataset] cur_step=5984 phase=C_full_covt + {'loss': '2.993', 'grad_norm': '2.122', 'learning_rate': '1.384e-05', 'epoch': '0.2153'} + 66%|███████████████████▉ | 5984/9000 [4:33:54<3:22:42, 4.03s/it] {'lm_loss': '0.4567', 'visual_loss': '2.406', 'seg_loss': '0.6157', 'dino_loss': '0.8828', 'depth_loss': '0.2928', 'vggt_mse_loss': '0.2909', 'vggt_cos_loss': '0.019', 'pidinet_loss': '0.2484', 'siglip_loss': '0.3662', 'epoch': '0.2153'} + 66%|███████████████████▉ | 5984/9000 [4:33:58<3:22:42, 4.03s/it][Dataset] cur_step=5985 phase=C_full_covt +[Dataset] cur_step=5985 phase=C_full_covt +[Dataset] cur_step=5985 phase=C_full_covt +[Dataset] cur_step=5985 phase=C_full_covt +[Dataset] cur_step=5985 phase=C_full_covt +[Dataset] cur_step=5985 phase=C_full_covt +[Dataset] cur_step=5985 phase=C_full_covt[Dataset] cur_step=5985 phase=C_full_covt + + 66%|███████████████████▉ | 5985/9000 [4:33:58<3:18:25, 3.95s/it] {'loss': '2.954', 'grad_norm': '2.642', 'learning_rate': '1.383e-05', 'epoch': '0.2153'} + 66%|███████████████████▉ | 5985/9000 [4:33:58<3:18:25, 3.95s/it] {'lm_loss': '0.004506', 'visual_loss': '2.685', 'seg_loss': '0.667', 'dino_loss': '0.9326', 'depth_loss': '0.4052', 'vggt_mse_loss': '0.4013', 'vggt_cos_loss': '0.03914', 'pidinet_loss': '0.2164', 'siglip_loss': '0.4641', 'epoch': '0.2153'} + 66%|███████████████████▉ | 5985/9000 [4:34:01<3:18:25, 3.95s/it][Dataset] cur_step=5986 phase=C_full_covt +[Dataset] cur_step=5986 phase=C_full_covt +[Dataset] cur_step=5986 phase=C_full_covt[Dataset] cur_step=5986 phase=C_full_covt + +[Dataset] cur_step=5986 phase=C_full_covt +[Dataset] cur_step=5986 phase=C_full_covt +[Dataset] cur_step=5986 phase=C_full_covt + 67%|███████████████████▉ | 5986/9000 [4:34:02<3:20:26, 3.99s/it][Dataset] cur_step=5986 phase=C_full_covt + {'loss': '2.938', 'grad_norm': '1.781', 'learning_rate': '1.383e-05', 'epoch': '0.2153'} + 67%|███████████████████▉ | 5986/9000 [4:34:02<3:20:26, 3.99s/it] {'lm_loss': '0.6509', 'visual_loss': '2.472', 'seg_loss': '0.74', 'dino_loss': '0.8985', 'depth_loss': '0.2281', 'vggt_mse_loss': '0.2267', 'vggt_cos_loss': '0.01389', 'pidinet_loss': '0.191', 'siglip_loss': '0.4146', 'epoch': '0.2153'} + 67%|███████████████████▉ | 5986/9000 [4:34:05<3:20:26, 3.99s/it][Dataset] cur_step=5987 phase=C_full_covt +[Dataset] cur_step=5987 phase=C_full_covt +[Dataset] cur_step=5987 phase=C_full_covt +[Dataset] cur_step=5987 phase=C_full_covt + 67%|███████████████████▉ | 5987/9000 [4:34:06<3:17:49, 3.94s/it][Dataset] cur_step=5987 phase=C_full_covt +[Dataset] cur_step=5987 phase=C_full_covt +[Dataset] cur_step=5987 phase=C_full_covt +[Dataset] cur_step=5987 phase=C_full_covt + {'loss': '3.07', 'grad_norm': '3.68', 'learning_rate': '1.382e-05', 'epoch': '0.2154'} + 67%|███████████████████▉ | 5987/9000 [4:34:06<3:17:49, 3.94s/it] {'lm_loss': '0.4186', 'visual_loss': '2.734', 'seg_loss': '0.703', 'dino_loss': '0.9187', 'depth_loss': '0.2271', 'vggt_mse_loss': '0.2255', 'vggt_cos_loss': '0.0162', 'pidinet_loss': '0.2119', 'siglip_loss': '0.6728', 'epoch': '0.2154'} + 67%|███████████████████▉ | 5987/9000 [4:34:09<3:17:49, 3.94s/it][Dataset] cur_step=5988 phase=C_full_covt[Dataset] cur_step=5988 phase=C_full_covt + + 67%|███████████████████▉ | 5988/9000 [4:34:10<3:12:30, 3.83s/it][Dataset] cur_step=5988 phase=C_full_covt +[Dataset] cur_step=5988 phase=C_full_covt +[Dataset] cur_step=5988 phase=C_full_covt +[Dataset] cur_step=5988 phase=C_full_covt +[Dataset] cur_step=5988 phase=C_full_covt +[Dataset] cur_step=5988 phase=C_full_covt + {'loss': '2.981', 'grad_norm': '1.445', 'learning_rate': '1.381e-05', 'epoch': '0.2154'} + 67%|███████████████████▉ | 5988/9000 [4:34:10<3:12:30, 3.83s/it] {'lm_loss': '1.257', 'visual_loss': '2.724', 'seg_loss': '0.8628', 'dino_loss': '0.8995', 'depth_loss': '0.2191', 'vggt_mse_loss': '0.2176', 'vggt_cos_loss': '0.01479', 'pidinet_loss': '0.2243', 'siglip_loss': '0.5186', 'epoch': '0.2154'} + 67%|███████████████████▉ | 5988/9000 [4:34:13<3:12:30, 3.83s/it][Dataset] cur_step=5989 phase=C_full_covt +[Dataset] cur_step=5989 phase=C_full_covt +[Dataset] cur_step=5989 phase=C_full_covt +[Dataset] cur_step=5989 phase=C_full_covt +[Dataset] cur_step=5989 phase=C_full_covt + 67%|███████████████████▉ | 5989/9000 [4:34:14<3:20:52, 4.00s/it][Dataset] cur_step=5989 phase=C_full_covt +[Dataset] cur_step=5989 phase=C_full_covt +[Dataset] cur_step=5989 phase=C_full_covt + {'loss': '3.129', 'grad_norm': '3.213', 'learning_rate': '1.38e-05', 'epoch': '0.2155'} + 67%|███████████████████▉ | 5989/9000 [4:34:14<3:20:52, 4.00s/it] {'lm_loss': '0.006004', 'visual_loss': '2.27', 'seg_loss': '0.6202', 'dino_loss': '0.8892', 'depth_loss': '0.2057', 'vggt_mse_loss': '0.2045', 'vggt_cos_loss': '0.01174', 'pidinet_loss': '0.1639', 'siglip_loss': '0.391', 'epoch': '0.2155'} + 67%|███████████████████▉ | 5989/9000 [4:34:18<3:20:52, 4.00s/it][Dataset] cur_step=5990 phase=C_full_covt +[Dataset] cur_step=5990 phase=C_full_covt +[Dataset] cur_step=5990 phase=C_full_covt +[Dataset] cur_step=5990 phase=C_full_covt[Dataset] cur_step=5990 phase=C_full_covt + + 67%|███████████████████▉ | 5990/9000 [4:34:21<3:58:38, 4.76s/it][Dataset] cur_step=5990 phase=C_full_covt +[Dataset] cur_step=5990 phase=C_full_covt +[Dataset] cur_step=5990 phase=C_full_covt + {'loss': '2.786', 'grad_norm': '3.402', 'learning_rate': '1.379e-05', 'epoch': '0.2155'} + 67%|███████████████████▉ | 5990/9000 [4:34:21<3:58:38, 4.76s/it] {'lm_loss': '0.477', 'visual_loss': '2.614', 'seg_loss': '0.6438', 'dino_loss': '0.8707', 'depth_loss': '0.1764', 'vggt_mse_loss': '0.1755', 'vggt_cos_loss': '0.009409', 'pidinet_loss': '0.1957', 'siglip_loss': '0.7272', 'epoch': '0.2155'} + 67%|███████████████████▉ | 5990/9000 [4:34:24<3:58:38, 4.76s/it][Dataset] cur_step=5991 phase=C_full_covt +[Dataset] cur_step=5991 phase=C_full_covt +[Dataset] cur_step=5991 phase=C_full_covt +[Dataset] cur_step=5991 phase=C_full_covt + 67%|███████████████████▉ | 5991/9000 [4:34:25<3:47:20, 4.53s/it][Dataset] cur_step=5991 phase=C_full_covt +[Dataset] cur_step=5991 phase=C_full_covt +[Dataset] cur_step=5991 phase=C_full_covt +[Dataset] cur_step=5991 phase=C_full_covt + {'loss': '3.016', 'grad_norm': '2.489', 'learning_rate': '1.379e-05', 'epoch': '0.2155'} + 67%|███████████████████▉ | 5991/9000 [4:34:25<3:47:20, 4.53s/it] {'lm_loss': '0.8993', 'visual_loss': '2.686', 'seg_loss': '0.7762', 'dino_loss': '0.9259', 'depth_loss': '0.1714', 'vggt_mse_loss': '0.1704', 'vggt_cos_loss': '0.009583', 'pidinet_loss': '0.2724', 'siglip_loss': '0.54', 'epoch': '0.2155'} + 67%|███████████████████▉ | 5991/9000 [4:34:28<3:47:20, 4.53s/it][Dataset] cur_step=5992 phase=C_full_covt + 67%|███████████████████▉ | 5992/9000 [4:34:29<3:38:34, 4.36s/it][Dataset] cur_step=5992 phase=C_full_covt +[Dataset] cur_step=5992 phase=C_full_covt[Dataset] cur_step=5992 phase=C_full_covt[Dataset] cur_step=5992 phase=C_full_covt +[Dataset] cur_step=5992 phase=C_full_covt + + +[Dataset] cur_step=5992 phase=C_full_covt +[Dataset] cur_step=5992 phase=C_full_covt + {'loss': '3.225', 'grad_norm': '7.06', 'learning_rate': '1.378e-05', 'epoch': '0.2156'} + 67%|███████████████████▉ | 5992/9000 [4:34:29<3:38:34, 4.36s/it] {'lm_loss': '0.0004132', 'visual_loss': '2.651', 'seg_loss': '0.6721', 'dino_loss': '0.9391', 'depth_loss': '0.2963', 'vggt_mse_loss': '0.2941', 'vggt_cos_loss': '0.02263', 'pidinet_loss': '0.2721', 'siglip_loss': '0.4719', 'epoch': '0.2156'} + 67%|███████████████████▉ | 5992/9000 [4:34:32<3:38:34, 4.36s/it][Dataset] cur_step=5993 phase=C_full_covt[Dataset] cur_step=5993 phase=C_full_covt + +[Dataset] cur_step=5993 phase=C_full_covt +[Dataset] cur_step=5993 phase=C_full_covt 67%|███████████████████▉ | 5993/9000 [4:34:33<3:32:27, 4.24s/it] +[Dataset] cur_step=5993 phase=C_full_covt +[Dataset] cur_step=5993 phase=C_full_covt +[Dataset] cur_step=5993 phase=C_full_covt +[Dataset] cur_step=5993 phase=C_full_covt + {'loss': '3.139', 'grad_norm': '2.009', 'learning_rate': '1.377e-05', 'epoch': '0.2156'} + 67%|███████████████████▉ | 5993/9000 [4:34:33<3:32:27, 4.24s/it] {'lm_loss': '0.5291', 'visual_loss': '2.491', 'seg_loss': '0.72', 'dino_loss': '0.896', 'depth_loss': '0.2058', 'vggt_mse_loss': '0.2045', 'vggt_cos_loss': '0.01305', 'pidinet_loss': '0.1781', 'siglip_loss': '0.4915', 'epoch': '0.2156'} + 67%|███████████████████▉ | 5993/9000 [4:34:36<3:32:27, 4.24s/it][Dataset] cur_step=5994 phase=C_full_covt +[Dataset] cur_step=5994 phase=C_full_covt[Dataset] cur_step=5994 phase=C_full_covt +[Dataset] cur_step=5994 phase=C_full_covt + +[Dataset] cur_step=5994 phase=C_full_covt +[Dataset] cur_step=5994 phase=C_full_covt + 67%|███████████████████▉ | 5994/9000 [4:34:37<3:29:57, 4.19s/it][Dataset] cur_step=5994 phase=C_full_covt +[Dataset] cur_step=5994 phase=C_full_covt + {'loss': '3.299', 'grad_norm': '2.994', 'learning_rate': '1.376e-05', 'epoch': '0.2156'} + 67%|███████████████████▉ | 5994/9000 [4:34:37<3:29:57, 4.19s/it] {'lm_loss': '0.4672', 'visual_loss': '2.629', 'seg_loss': '0.7596', 'dino_loss': '0.878', 'depth_loss': '0.3089', 'vggt_mse_loss': '0.3068', 'vggt_cos_loss': '0.02094', 'pidinet_loss': '0.2008', 'siglip_loss': '0.4814', 'epoch': '0.2156'} + 67%|███████████████████▉ | 5994/9000 [4:34:40<3:29:57, 4.19s/it][Dataset] cur_step=5995 phase=C_full_covt[Dataset] cur_step=5995 phase=C_full_covt + +[Dataset] cur_step=5995 phase=C_full_covt[Dataset] cur_step=5995 phase=C_full_covt[Dataset] cur_step=5995 phase=C_full_covt + + +[Dataset] cur_step=5995 phase=C_full_covt + 67%|███████████████████▉ | 5995/9000 [4:34:41<3:25:30, 4.10s/it][Dataset] cur_step=5995 phase=C_full_covt +[Dataset] cur_step=5995 phase=C_full_covt + {'loss': '3.124', 'grad_norm': '3.1', 'learning_rate': '1.375e-05', 'epoch': '0.2157'} + 67%|███████████████████▉ | 5995/9000 [4:34:41<3:25:30, 4.10s/it] {'lm_loss': '0.5564', 'visual_loss': '2.695', 'seg_loss': '0.6486', 'dino_loss': '0.8717', 'depth_loss': '0.2277', 'vggt_mse_loss': '0.2262', 'vggt_cos_loss': '0.01484', 'pidinet_loss': '0.3086', 'siglip_loss': '0.6388', 'epoch': '0.2157'} + 67%|███████████████████▉ | 5995/9000 [4:34:44<3:25:30, 4.10s/it][Dataset] cur_step=5996 phase=C_full_covt +[Dataset] cur_step=5996 phase=C_full_covt +[Dataset] cur_step=5996 phase=C_full_covt[Dataset] cur_step=5996 phase=C_full_covt + +[Dataset] cur_step=5996 phase=C_full_covt 67%|███████████████████▉ | 5996/9000 [4:34:44<3:20:34, 4.01s/it] +[Dataset] cur_step=5996 phase=C_full_covt +[Dataset] cur_step=5996 phase=C_full_covt +[Dataset] cur_step=5996 phase=C_full_covt + {'loss': '3.388', 'grad_norm': '11.55', 'learning_rate': '1.374e-05', 'epoch': '0.2157'} + 67%|███████████████████▉ | 5996/9000 [4:34:44<3:20:34, 4.01s/it] {'lm_loss': '0.642', 'visual_loss': '2.833', 'seg_loss': '0.6588', 'dino_loss': '0.8955', 'depth_loss': '0.2379', 'vggt_mse_loss': '0.2362', 'vggt_cos_loss': '0.01773', 'pidinet_loss': '0.269', 'siglip_loss': '0.7719', 'epoch': '0.2157'} + 67%|███████████████████▉ | 5996/9000 [4:34:48<3:20:34, 4.01s/it][Dataset] cur_step=5997 phase=C_full_covt +[Dataset] cur_step=5997 phase=C_full_covt + 67%|███████████████████▉ | 5997/9000 [4:34:48<3:21:34, 4.03s/it][Dataset] cur_step=5997 phase=C_full_covt +[Dataset] cur_step=5997 phase=C_full_covt +[Dataset] cur_step=5997 phase=C_full_covt +[Dataset] cur_step=5997 phase=C_full_covt +[Dataset] cur_step=5997 phase=C_full_covt +[Dataset] cur_step=5997 phase=C_full_covt + {'loss': '3.338', 'grad_norm': '3.212', 'learning_rate': '1.374e-05', 'epoch': '0.2157'} + 67%|███████████████████▉ | 5997/9000 [4:34:48<3:21:34, 4.03s/it] {'lm_loss': '0.9067', 'visual_loss': '2.796', 'seg_loss': '0.7246', 'dino_loss': '0.9037', 'depth_loss': '0.2067', 'vggt_mse_loss': '0.2054', 'vggt_cos_loss': '0.01366', 'pidinet_loss': '0.2521', 'siglip_loss': '0.709', 'epoch': '0.2157'} + 67%|███████████████████▉ | 5997/9000 [4:34:54<3:21:34, 4.03s/it][Dataset] cur_step=5998 phase=C_full_covt +[Dataset] cur_step=5998 phase=C_full_covt[Dataset] cur_step=5998 phase=C_full_covt[Dataset] cur_step=5998 phase=C_full_covt + + + 67%|███████████████████▉ | 5998/9000 [4:34:55<3:55:54, 4.71s/it][Dataset] cur_step=5998 phase=C_full_covt +[Dataset] cur_step=5998 phase=C_full_covt +[Dataset] cur_step=5998 phase=C_full_covt +[Dataset] cur_step=5998 phase=C_full_covt + {'loss': '3.229', 'grad_norm': '2.292', 'learning_rate': '1.373e-05', 'epoch': '0.2158'} + 67%|███████████████████▉ | 5998/9000 [4:34:55<3:55:54, 4.71s/it] {'lm_loss': '0.6289', 'visual_loss': '2.748', 'seg_loss': '0.815', 'dino_loss': '0.9207', 'depth_loss': '0.3121', 'vggt_mse_loss': '0.3098', 'vggt_cos_loss': '0.02226', 'pidinet_loss': '0.2247', 'siglip_loss': '0.4751', 'epoch': '0.2158'} + 67%|███████████████████▉ | 5998/9000 [4:34:58<3:55:54, 4.71s/it][Dataset] cur_step=5999 phase=C_full_covt[Dataset] cur_step=5999 phase=C_full_covt + +[Dataset] cur_step=5999 phase=C_full_covt + 67%|███████████████████▉ | 5999/9000 [4:34:59<3:45:13, 4.50s/it][Dataset] cur_step=5999 phase=C_full_covt +[Dataset] cur_step=5999 phase=C_full_covt +[Dataset] cur_step=5999 phase=C_full_covt +[Dataset] cur_step=5999 phase=C_full_covt +[Dataset] cur_step=5999 phase=C_full_covt + {'loss': '3.105', 'grad_norm': '5.257', 'learning_rate': '1.372e-05', 'epoch': '0.2158'} + 67%|███████████████████▉ | 5999/9000 [4:34:59<3:45:13, 4.50s/it] {'lm_loss': '0.2232', 'visual_loss': '2.458', 'seg_loss': '0.7328', 'dino_loss': '0.8959', 'depth_loss': '0.1652', 'vggt_mse_loss': '0.1643', 'vggt_cos_loss': '0.009089', 'pidinet_loss': '0.211', 'siglip_loss': '0.4526', 'epoch': '0.2158'} + 67%|███████████████████▉ | 5999/9000 [4:35:02<3:45:13, 4.50s/it][Dataset] cur_step=6000 phase=C_full_covt +[Dataset] cur_step=6000 phase=C_full_covt[Dataset] cur_step=6000 phase=C_full_covt + +[Dataset] cur_step=6000 phase=C_full_covt[Dataset] cur_step=6000 phase=C_full_covt + +[Dataset] cur_step=6000 phase=C_full_covt +[Dataset] cur_step=6000 phase=C_full_covt +[Dataset] cur_step=6000 phase=C_full_covt +[cvbench] step=6000 metrics={"eval/cvbench_2d_accuracy": 0.772, "eval/cvbench_2d_count_accuracy": 0.6715328467153284, "eval/cvbench_2d_relation_accuracy": 0.8938053097345132, "eval/cvbench_2d_task_macro_accuracy": 0.7826690782249208, "eval/cvbench_3d_accuracy": 0.888, "eval/cvbench_3d_depth_accuracy": 0.944, "eval/cvbench_3d_distance_accuracy": 0.832, "eval/cvbench_3d_task_macro_accuracy": 0.8879999999999999, "eval/cvbench_accuracy": 0.83, "eval/cvbench_covt_answer_tag_rate": 1.0, "eval/cvbench_covt_any_anchor_rate": 1.0, "eval/cvbench_covt_depth_tokens_mean": 4.0, "eval/cvbench_covt_dino_tokens_mean": 4.0, "eval/cvbench_covt_pidinet_tokens_mean": 4.0, "eval/cvbench_covt_sam_tokens_mean": 8.0, "eval/cvbench_covt_siglip_tokens_mean": 4.0, "eval/cvbench_covt_think_rate": 0.996, "eval/cvbench_errors": 0.0, "eval/cvbench_parse_rate": 1.0, "eval/cvbench_samples": 500.0, "eval/cvbench_seconds": 305.7610304299742, "eval/cvbench_task_macro_accuracy": 0.8353345391124604} + 67%|███████████████████▎ | 6000/9000 [4:40:09<80:05:50, 96.12s/it] {'loss': '3.097', 'grad_norm': '1.474', 'learning_rate': '1.371e-05', 'epoch': '0.2159'} + 67%|███████████████████▎ | 6000/9000 [4:40:09<80:05:50, 96.12s/it]Saving model checkpoint to /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-6000 +chat template saved in /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-6000/chat_template.jinja +tokenizer config file saved in /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-6000/tokenizer_config.json +chat template saved in /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-6000/chat_template.jinja +processor saved in /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-6000/processor_config.json + {'lm_loss': '0.8761', 'visual_loss': '2.666', 'seg_loss': '0.7388', 'dino_loss': '0.9211', 'depth_loss': '0.2458', 'vggt_mse_loss': '0.244', 'vggt_cos_loss': '0.01832', 'pidinet_loss': '0.2061', 'siglip_loss': '0.5544', 'epoch': '0.2159'} + 67%|███████████████████▎ | 6000/9000 [4:40:35<80:05:50, 96.12s/it][Dataset] cur_step=6001 phase=C_full_covt +[Dataset] cur_step=6001 phase=C_full_covt[Dataset] cur_step=6001 phase=C_full_covt + +[Dataset] cur_step=6001 phase=C_full_covt +[Dataset] cur_step=6001 phase=C_full_covt +[Dataset] cur_step=6001 phase=C_full_covt + 67%|███████████████████▎ | 6001/9000 [4:40:35<62:41:09, 75.25s/it][Dataset] cur_step=6001 phase=C_full_covt +[Dataset] cur_step=6001 phase=C_full_covt + {'loss': '2.978', 'grad_norm': '4.625', 'learning_rate': '1.37e-05', 'epoch': '0.2159'} + 67%|███████████████████▎ | 6001/9000 [4:40:35<62:41:09, 75.25s/it] {'lm_loss': '1.031', 'visual_loss': '2.766', 'seg_loss': '0.7702', 'dino_loss': '0.9424', 'depth_loss': '0.2364', 'vggt_mse_loss': '0.2345', 'vggt_cos_loss': '0.01859', 'pidinet_loss': '0.237', 'siglip_loss': '0.58', 'epoch': '0.2159'} + 67%|███████████████████▎ | 6001/9000 [4:40:38<62:41:09, 75.25s/it][Dataset] cur_step=6002 phase=C_full_covt +[Dataset] cur_step=6002 phase=C_full_covt +[Dataset] cur_step=6002 phase=C_full_covt + 67%|███████████████████▎ | 6002/9000 [4:40:39<44:49:54, 53.83s/it][Dataset] cur_step=6002 phase=C_full_covt[Dataset] cur_step=6002 phase=C_full_covt + +[Dataset] cur_step=6002 phase=C_full_covt +[Dataset] cur_step=6002 phase=C_full_covt +[Dataset] cur_step=6002 phase=C_full_covt + {'loss': '3.12', 'grad_norm': '2.347', 'learning_rate': '1.37e-05', 'epoch': '0.2159'} + 67%|███████████████████▎ | 6002/9000 [4:40:39<44:49:54, 53.83s/it] {'lm_loss': '0.5212', 'visual_loss': '2.829', 'seg_loss': '0.8037', 'dino_loss': '0.9463', 'depth_loss': '0.2579', 'vggt_mse_loss': '0.2561', 'vggt_cos_loss': '0.01841', 'pidinet_loss': '0.2385', 'siglip_loss': '0.5828', 'epoch': '0.2159'} + 67%|███████████████████▎ | 6002/9000 [4:40:42<44:49:54, 53.83s/it][Dataset] cur_step=6003 phase=C_full_covt +[Dataset] cur_step=6003 phase=C_full_covt +[Dataset] cur_step=6003 phase=C_full_covt +[Dataset] cur_step=6003 phase=C_full_covt +[Dataset] cur_step=6003 phase=C_full_covt[Dataset] cur_step=6003 phase=C_full_covt[Dataset] cur_step=6003 phase=C_full_covt + +[Dataset] cur_step=6003 phase=C_full_covt + + 67%|███████████████████▎ | 6003/9000 [4:40:43<32:21:20, 38.87s/it] {'loss': '3.131', 'grad_norm': '1.867', 'learning_rate': '1.369e-05', 'epoch': '0.216'} + 67%|███████████████████▎ | 6003/9000 [4:40:43<32:21:20, 38.87s/it] {'lm_loss': '0.3603', 'visual_loss': '2.381', 'seg_loss': '0.6306', 'dino_loss': '0.8808', 'depth_loss': '0.1882', 'vggt_mse_loss': '0.1869', 'vggt_cos_loss': '0.01284', 'pidinet_loss': '0.2082', 'siglip_loss': '0.473', 'epoch': '0.216'} + 67%|███████████████████▎ | 6003/9000 [4:40:46<32:21:20, 38.87s/it][Dataset] cur_step=6004 phase=C_full_covt +[Dataset] cur_step=6004 phase=C_full_covt +[Dataset] cur_step=6004 phase=C_full_covt[Dataset] cur_step=6004 phase=C_full_covt +[Dataset] cur_step=6004 phase=C_full_covt + + 67%|███████████████████▎ | 6004/9000 [4:40:47<23:45:21, 28.55s/it][Dataset] cur_step=6004 phase=C_full_covt[Dataset] cur_step=6004 phase=C_full_covt + +[Dataset] cur_step=6004 phase=C_full_covt + {'loss': '2.915', 'grad_norm': '2.883', 'learning_rate': '1.368e-05', 'epoch': '0.216'} + 67%|███████████████████▎ | 6004/9000 [4:40:47<23:45:21, 28.55s/it] {'lm_loss': '0.9807', 'visual_loss': '2.884', 'seg_loss': '0.7156', 'dino_loss': '0.9108', 'depth_loss': '0.2695', 'vggt_mse_loss': '0.2676', 'vggt_cos_loss': '0.01886', 'pidinet_loss': '0.2365', 'siglip_loss': '0.7518', 'epoch': '0.216'} + 67%|███████████████████▎ | 6004/9000 [4:40:51<23:45:21, 28.55s/it][Dataset] cur_step=6005 phase=C_full_covt +[Dataset] cur_step=6005 phase=C_full_covt +[Dataset] cur_step=6005 phase=C_full_covt +[Dataset] cur_step=6005 phase=C_full_covt +[Dataset] cur_step=6005 phase=C_full_covt + 67%|███████████████████▎ | 6005/9000 [4:40:54<18:09:59, 21.84s/it][Dataset] cur_step=6005 phase=C_full_covt +[Dataset] cur_step=6005 phase=C_full_covt +[Dataset] cur_step=6005 phase=C_full_covt + {'loss': '3.176', 'grad_norm': '1.925', 'learning_rate': '1.367e-05', 'epoch': '0.216'} + 67%|███████████████████▎ | 6005/9000 [4:40:54<18:09:59, 21.84s/it] {'lm_loss': '0.3558', 'visual_loss': '2.722', 'seg_loss': '0.7248', 'dino_loss': '0.9296', 'depth_loss': '0.2278', 'vggt_mse_loss': '0.2263', 'vggt_cos_loss': '0.01503', 'pidinet_loss': '0.2337', 'siglip_loss': '0.6065', 'epoch': '0.216'} + 67%|███████████████████▎ | 6005/9000 [4:40:57<18:09:59, 21.84s/it][Dataset] cur_step=6006 phase=C_full_covt[Dataset] cur_step=6006 phase=C_full_covt[Dataset] cur_step=6006 phase=C_full_covt + + +[Dataset] cur_step=6006 phase=C_full_covt[Dataset] cur_step=6006 phase=C_full_covt + + 67%|███████████████████▎ | 6006/9000 [4:40:57<13:39:33, 16.42s/it][Dataset] cur_step=6006 phase=C_full_covt +[Dataset] cur_step=6006 phase=C_full_covt +[Dataset] cur_step=6006 phase=C_full_covt + {'loss': '3.094', 'grad_norm': '1.671', 'learning_rate': '1.366e-05', 'epoch': '0.2161'} + 67%|███████████████████▎ | 6006/9000 [4:40:57<13:39:33, 16.42s/it] {'lm_loss': '0.001684', 'visual_loss': '2.025', 'seg_loss': '0.5541', 'dino_loss': '0.8657', 'depth_loss': '0.1947', 'vggt_mse_loss': '0.1938', 'vggt_cos_loss': '0.008503', 'pidinet_loss': '0.09262', 'siglip_loss': '0.3177', 'epoch': '0.2161'} + 67%|███████████████████▎ | 6006/9000 [4:41:01<13:39:33, 16.42s/it][Dataset] cur_step=6007 phase=C_full_covt +[Dataset] cur_step=6007 phase=C_full_covt +[Dataset] cur_step=6007 phase=C_full_covt[Dataset] cur_step=6007 phase=C_full_covt + +[Dataset] cur_step=6007 phase=C_full_covt + 67%|███████████████████▎ | 6007/9000 [4:41:03<11:02:53, 13.29s/it][Dataset] cur_step=6007 phase=C_full_covt +[Dataset] cur_step=6007 phase=C_full_covt +[Dataset] cur_step=6007 phase=C_full_covt + {'loss': '2.87', 'grad_norm': '1.69', 'learning_rate': '1.365e-05', 'epoch': '0.2161'} + 67%|███████████████████▎ | 6007/9000 [4:41:03<11:02:53, 13.29s/it] {'lm_loss': '0.3399', 'visual_loss': '2.727', 'seg_loss': '0.8478', 'dino_loss': '0.9052', 'depth_loss': '0.2369', 'vggt_mse_loss': '0.2352', 'vggt_cos_loss': '0.01708', 'pidinet_loss': '0.2994', 'siglip_loss': '0.4379', 'epoch': '0.2161'} + 67%|███████████████████▎ | 6007/9000 [4:41:07<11:02:53, 13.29s/it][Dataset] cur_step=6008 phase=C_full_covt +[Dataset] cur_step=6008 phase=C_full_covt +[Dataset] cur_step=6008 phase=C_full_covt 67%|████████████████████ | 6008/9000 [4:41:07<8:42:06, 10.47s/it] +[Dataset] cur_step=6008 phase=C_full_covt +[Dataset] cur_step=6008 phase=C_full_covt +[Dataset] cur_step=6008 phase=C_full_covt +[Dataset] cur_step=6008 phase=C_full_covt +[Dataset] cur_step=6008 phase=C_full_covt + {'loss': '3.243', 'grad_norm': '1.748', 'learning_rate': '1.365e-05', 'epoch': '0.2161'} + 67%|████████████████████ | 6008/9000 [4:41:07<8:42:06, 10.47s/it] {'lm_loss': '0.3971', 'visual_loss': '2.353', 'seg_loss': '0.6255', 'dino_loss': '0.8964', 'depth_loss': '0.2276', 'vggt_mse_loss': '0.2261', 'vggt_cos_loss': '0.01482', 'pidinet_loss': '0.1688', 'siglip_loss': '0.4348', 'epoch': '0.2161'} + 67%|████████████████████ | 6008/9000 [4:41:11<8:42:06, 10.47s/it][Dataset] cur_step=6009 phase=C_full_covt[Dataset] cur_step=6009 phase=C_full_covt + +[Dataset] cur_step=6009 phase=C_full_covt +[Dataset] cur_step=6009 phase=C_full_covt + 67%|████████████████████ | 6009/9000 [4:41:11<7:04:03, 8.51s/it][Dataset] cur_step=6009 phase=C_full_covt +[Dataset] cur_step=6009 phase=C_full_covt +[Dataset] cur_step=6009 phase=C_full_covt +[Dataset] cur_step=6009 phase=C_full_covt + {'loss': '3.226', 'grad_norm': '1.901', 'learning_rate': '1.364e-05', 'epoch': '0.2162'} + 67%|████████████████████ | 6009/9000 [4:41:11<7:04:03, 8.51s/it] {'lm_loss': '0.3879', 'visual_loss': '2.909', 'seg_loss': '0.8168', 'dino_loss': '0.9159', 'depth_loss': '0.2402', 'vggt_mse_loss': '0.2388', 'vggt_cos_loss': '0.01472', 'pidinet_loss': '0.3098', 'siglip_loss': '0.6266', 'epoch': '0.2162'} + 67%|████████████████████ | 6009/9000 [4:41:15<7:04:03, 8.51s/it][Dataset] cur_step=6010 phase=C_full_covt[Dataset] cur_step=6010 phase=C_full_covt + +[Dataset] cur_step=6010 phase=C_full_covt +[Dataset] cur_step=6010 phase=C_full_covt[Dataset] cur_step=6010 phase=C_full_covt + +[Dataset] cur_step=6010 phase=C_full_covt + 67%|████████████████████ | 6010/9000 [4:41:15<5:56:37, 7.16s/it][Dataset] cur_step=6010 phase=C_full_covt +[Dataset] cur_step=6010 phase=C_full_covt + {'loss': '3.263', 'grad_norm': '2.148', 'learning_rate': '1.363e-05', 'epoch': '0.2162'} + 67%|████████████████████ | 6010/9000 [4:41:15<5:56:37, 7.16s/it] {'lm_loss': '0.231', 'visual_loss': '2.523', 'seg_loss': '0.7115', 'dino_loss': '0.9059', 'depth_loss': '0.215', 'vggt_mse_loss': '0.2138', 'vggt_cos_loss': '0.0126', 'pidinet_loss': '0.1969', 'siglip_loss': '0.4935', 'epoch': '0.2162'} + 67%|████████████████████ | 6010/9000 [4:41:18<5:56:37, 7.16s/it][Dataset] cur_step=6011 phase=C_full_covt +[Dataset] cur_step=6011 phase=C_full_covt[Dataset] cur_step=6011 phase=C_full_covt + +[Dataset] cur_step=6011 phase=C_full_covt +[Dataset] cur_step=6011 phase=C_full_covt[Dataset] cur_step=6011 phase=C_full_covt + +[Dataset] cur_step=6011 phase=C_full_covt + 67%|████████████████████ | 6011/9000 [4:41:19<5:06:27, 6.15s/it][Dataset] cur_step=6011 phase=C_full_covt + {'loss': '3.045', 'grad_norm': '1.768', 'learning_rate': '1.362e-05', 'epoch': '0.2162'} + 67%|████████████████████ | 6011/9000 [4:41:19<5:06:27, 6.15s/it] {'lm_loss': '0.0138', 'visual_loss': '2.561', 'seg_loss': '0.7162', 'dino_loss': '0.8913', 'depth_loss': '0.2669', 'vggt_mse_loss': '0.2649', 'vggt_cos_loss': '0.02008', 'pidinet_loss': '0.2728', 'siglip_loss': '0.414', 'epoch': '0.2162'} + 67%|████████████████████ | 6011/9000 [4:41:22<5:06:27, 6.15s/it][Dataset] cur_step=6012 phase=C_full_covt +[Dataset] cur_step=6012 phase=C_full_covt +[Dataset] cur_step=6012 phase=C_full_covt[Dataset] cur_step=6012 phase=C_full_covt + + 67%|████████████████████ | 6012/9000 [4:41:25<5:02:10, 6.07s/it][Dataset] cur_step=6012 phase=C_full_covt +[Dataset] cur_step=6012 phase=C_full_covt +[Dataset] cur_step=6012 phase=C_full_covt +[Dataset] cur_step=6012 phase=C_full_covt + {'loss': '3.238', 'grad_norm': '5.601', 'learning_rate': '1.361e-05', 'epoch': '0.2163'} + 67%|████████████████████ | 6012/9000 [4:41:25<5:02:10, 6.07s/it] {'lm_loss': '0.3521', 'visual_loss': '2.761', 'seg_loss': '0.7393', 'dino_loss': '0.9109', 'depth_loss': '0.3072', 'vggt_mse_loss': '0.3049', 'vggt_cos_loss': '0.02335', 'pidinet_loss': '0.2277', 'siglip_loss': '0.5756', 'epoch': '0.2163'} + 67%|████████████████████ | 6012/9000 [4:41:28<5:02:10, 6.07s/it][Dataset] cur_step=6013 phase=C_full_covt +[Dataset] cur_step=6013 phase=C_full_covt[Dataset] cur_step=6013 phase=C_full_covt + +[Dataset] cur_step=6013 phase=C_full_covt +[Dataset] cur_step=6013 phase=C_full_covt[Dataset] cur_step=6013 phase=C_full_covt 67%|████████████████████ | 6013/9000 [4:41:29<4:32:48, 5.48s/it] + +[Dataset] cur_step=6013 phase=C_full_covt +[Dataset] cur_step=6013 phase=C_full_covt + {'loss': '3.132', 'grad_norm': '2.412', 'learning_rate': '1.361e-05', 'epoch': '0.2163'} + 67%|████████████████████ | 6013/9000 [4:41:29<4:32:48, 5.48s/it] {'lm_loss': '0.5032', 'visual_loss': '2.865', 'seg_loss': '0.7455', 'dino_loss': '0.893', 'depth_loss': '0.482', 'vggt_mse_loss': '0.4779', 'vggt_cos_loss': '0.04131', 'pidinet_loss': '0.2498', 'siglip_loss': '0.4948', 'epoch': '0.2163'} + 67%|████████████████████ | 6013/9000 [4:41:32<4:32:48, 5.48s/it][Dataset] cur_step=6014 phase=C_full_covt +[Dataset] cur_step=6014 phase=C_full_covt +[Dataset] cur_step=6014 phase=C_full_covt +[Dataset] cur_step=6014 phase=C_full_covt +[Dataset] cur_step=6014 phase=C_full_covt +[Dataset] cur_step=6014 phase=C_full_covt +[Dataset] cur_step=6014 phase=C_full_covt + 67%|████████████████████ | 6014/9000 [4:41:33<4:13:14, 5.09s/it][Dataset] cur_step=6014 phase=C_full_covt + {'loss': '3.169', 'grad_norm': '2.063', 'learning_rate': '1.36e-05', 'epoch': '0.2164'} + 67%|████████████████████ | 6014/9000 [4:41:33<4:13:14, 5.09s/it] {'lm_loss': '0.7632', 'visual_loss': '2.551', 'seg_loss': '0.729', 'dino_loss': '0.9167', 'depth_loss': '0.208', 'vggt_mse_loss': '0.2067', 'vggt_cos_loss': '0.01349', 'pidinet_loss': '0.1798', 'siglip_loss': '0.5171', 'epoch': '0.2164'} + 67%|████████████████████ | 6014/9000 [4:41:37<4:13:14, 5.09s/it][Dataset] cur_step=6015 phase=C_full_covt + 67%|████████████████████ | 6015/9000 [4:41:37<3:56:01, 4.74s/it][Dataset] cur_step=6015 phase=C_full_covt +[Dataset] cur_step=6015 phase=C_full_covt +[Dataset] cur_step=6015 phase=C_full_covt +[Dataset] cur_step=6015 phase=C_full_covt +[Dataset] cur_step=6015 phase=C_full_covt +[Dataset] cur_step=6015 phase=C_full_covt +[Dataset] cur_step=6015 phase=C_full_covt + {'loss': '2.988', 'grad_norm': '3.264', 'learning_rate': '1.359e-05', 'epoch': '0.2164'} + 67%|████████████████████ | 6015/9000 [4:41:37<3:56:01, 4.74s/it] {'lm_loss': '0.7127', 'visual_loss': '2.694', 'seg_loss': '0.7186', 'dino_loss': '0.9235', 'depth_loss': '0.2171', 'vggt_mse_loss': '0.216', 'vggt_cos_loss': '0.01191', 'pidinet_loss': '0.2264', 'siglip_loss': '0.6085', 'epoch': '0.2164'} + 67%|████████████████████ | 6015/9000 [4:41:40<3:56:01, 4.74s/it][Dataset] cur_step=6016 phase=C_full_covt +[Dataset] cur_step=6016 phase=C_full_covt +[Dataset] cur_step=6016 phase=C_full_covt + 67%|████████████████████ | 6016/9000 [4:41:41<3:40:45, 4.44s/it][Dataset] cur_step=6016 phase=C_full_covt +[Dataset] cur_step=6016 phase=C_full_covt +[Dataset] cur_step=6016 phase=C_full_covt +[Dataset] cur_step=6016 phase=C_full_covt +[Dataset] cur_step=6016 phase=C_full_covt + {'loss': '3.322', 'grad_norm': '2.462', 'learning_rate': '1.358e-05', 'epoch': '0.2164'} + 67%|████████████████████ | 6016/9000 [4:41:41<3:40:45, 4.44s/it] {'lm_loss': '0.01127', 'visual_loss': '2.454', 'seg_loss': '0.7144', 'dino_loss': '0.8992', 'depth_loss': '0.2713', 'vggt_mse_loss': '0.2694', 'vggt_cos_loss': '0.01819', 'pidinet_loss': '0.2009', 'siglip_loss': '0.368', 'epoch': '0.2164'} + 67%|████████████████████ | 6016/9000 [4:41:44<3:40:45, 4.44s/it][Dataset] cur_step=6017 phase=C_full_covt +[Dataset] cur_step=6017 phase=C_full_covt + 67%|████████████████████ | 6017/9000 [4:41:45<3:33:03, 4.29s/it][Dataset] cur_step=6017 phase=C_full_covt[Dataset] cur_step=6017 phase=C_full_covt + +[Dataset] cur_step=6017 phase=C_full_covt +[Dataset] cur_step=6017 phase=C_full_covt +[Dataset] cur_step=6017 phase=C_full_covt +[Dataset] cur_step=6017 phase=C_full_covt + {'loss': '3.044', 'grad_norm': '1.643', 'learning_rate': '1.357e-05', 'epoch': '0.2165'} + 67%|████████████████████ | 6017/9000 [4:41:45<3:33:03, 4.29s/it] {'lm_loss': '0.319', 'visual_loss': '2.297', 'seg_loss': '0.6404', 'dino_loss': '0.8989', 'depth_loss': '0.2293', 'vggt_mse_loss': '0.2277', 'vggt_cos_loss': '0.01645', 'pidinet_loss': '0.1773', 'siglip_loss': '0.3509', 'epoch': '0.2165'} + 67%|████████████████████ | 6017/9000 [4:41:48<3:33:03, 4.29s/it][Dataset] cur_step=6018 phase=C_full_covt +[Dataset] cur_step=6018 phase=C_full_covt +[Dataset] cur_step=6018 phase=C_full_covt +[Dataset] cur_step=6018 phase=C_full_covt +[Dataset] cur_step=6018 phase=C_full_covt +[Dataset] cur_step=6018 phase=C_full_covt +[Dataset] cur_step=6018 phase=C_full_covt +[Dataset] cur_step=6018 phase=C_full_covt + 67%|████████████████████ | 6018/9000 [4:41:49<3:28:40, 4.20s/it] {'loss': '3.004', 'grad_norm': '17.5', 'learning_rate': '1.356e-05', 'epoch': '0.2165'} + 67%|████████████████████ | 6018/9000 [4:41:49<3:28:40, 4.20s/it] {'lm_loss': '0.6004', 'visual_loss': '2.825', 'seg_loss': '0.7583', 'dino_loss': '0.9044', 'depth_loss': '0.3195', 'vggt_mse_loss': '0.3173', 'vggt_cos_loss': '0.02272', 'pidinet_loss': '0.1921', 'siglip_loss': '0.6503', 'epoch': '0.2165'} + 67%|████████████████████ | 6018/9000 [4:41:52<3:28:40, 4.20s/it][Dataset] cur_step=6019 phase=C_full_covt +[Dataset] cur_step=6019 phase=C_full_covt +[Dataset] cur_step=6019 phase=C_full_covt +[Dataset] cur_step=6019 phase=C_full_covt +[Dataset] cur_step=6019 phase=C_full_covt[Dataset] cur_step=6019 phase=C_full_covt + + 67%|████████████████████ | 6019/9000 [4:41:55<4:05:44, 4.95s/it][Dataset] cur_step=6019 phase=C_full_covt +[Dataset] cur_step=6019 phase=C_full_covt + {'loss': '3.532', 'grad_norm': '2.629', 'learning_rate': '1.356e-05', 'epoch': '0.2165'} + 67%|████████████████████ | 6019/9000 [4:41:55<4:05:44, 4.95s/it] {'lm_loss': '0.6583', 'visual_loss': '2.873', 'seg_loss': '0.7306', 'dino_loss': '0.92', 'depth_loss': '0.1924', 'vggt_mse_loss': '0.191', 'vggt_cos_loss': '0.01366', 'pidinet_loss': '0.2889', 'siglip_loss': '0.7407', 'epoch': '0.2165'} + 67%|████████████████████ | 6019/9000 [4:41:59<4:05:44, 4.95s/it][Dataset] cur_step=6020 phase=C_full_covt +[Dataset] cur_step=6020 phase=C_full_covt +[Dataset] cur_step=6020 phase=C_full_covt +[Dataset] cur_step=6020 phase=C_full_covt +[Dataset] cur_step=6020 phase=C_full_covt +[Dataset] cur_step=6020 phase=C_full_covt +[Dataset] cur_step=6020 phase=C_full_covt + 67%|████████████████████ | 6020/9000 [4:41:59<3:48:13, 4.59s/it][Dataset] cur_step=6020 phase=C_full_covt + {'loss': '3.162', 'grad_norm': '1.658', 'learning_rate': '1.355e-05', 'epoch': '0.2166'} + 67%|████████████████████ | 6020/9000 [4:41:59<3:48:13, 4.59s/it] {'lm_loss': '0.6986', 'visual_loss': '2.777', 'seg_loss': '0.5195', 'dino_loss': '0.9442', 'depth_loss': '0.3781', 'vggt_mse_loss': '0.3734', 'vggt_cos_loss': '0.04661', 'pidinet_loss': '0.2273', 'siglip_loss': '0.708', 'epoch': '0.2166'} + 67%|████████████████████ | 6020/9000 [4:42:02<3:48:13, 4.59s/it][Dataset] cur_step=6021 phase=C_full_covt +[Dataset] cur_step=6021 phase=C_full_covt[Dataset] cur_step=6021 phase=C_full_covt + +[Dataset] cur_step=6021 phase=C_full_covt +[Dataset] cur_step=6021 phase=C_full_covt 67%|████████████████████ | 6021/9000 [4:42:03<3:38:54, 4.41s/it] +[Dataset] cur_step=6021 phase=C_full_covt +[Dataset] cur_step=6021 phase=C_full_covt +[Dataset] cur_step=6021 phase=C_full_covt + {'loss': '3.082', 'grad_norm': '4.584', 'learning_rate': '1.354e-05', 'epoch': '0.2166'} + 67%|████████████████████ | 6021/9000 [4:42:03<3:38:54, 4.41s/it] {'lm_loss': '0.2795', 'visual_loss': '2.815', 'seg_loss': '0.8231', 'dino_loss': '0.8961', 'depth_loss': '0.3251', 'vggt_mse_loss': '0.3226', 'vggt_cos_loss': '0.02495', 'pidinet_loss': '0.2543', 'siglip_loss': '0.5168', 'epoch': '0.2166'} + 67%|████████████████████ | 6021/9000 [4:42:06<3:38:54, 4.41s/it][Dataset] cur_step=6022 phase=C_full_covt[Dataset] cur_step=6022 phase=C_full_covt[Dataset] cur_step=6022 phase=C_full_covt + + +[Dataset] cur_step=6022 phase=C_full_covt[Dataset] cur_step=6022 phase=C_full_covt + + 67%|████████████████████ | 6022/9000 [4:42:07<3:33:52, 4.31s/it][Dataset] cur_step=6022 phase=C_full_covt +[Dataset] cur_step=6022 phase=C_full_covt +[Dataset] cur_step=6022 phase=C_full_covt + {'loss': '3.121', 'grad_norm': '2.568', 'learning_rate': '1.353e-05', 'epoch': '0.2166'} + 67%|████████████████████ | 6022/9000 [4:42:07<3:33:52, 4.31s/it] {'lm_loss': '0.01026', 'visual_loss': '2.788', 'seg_loss': '0.8703', 'dino_loss': '0.918', 'depth_loss': '0.2282', 'vggt_mse_loss': '0.2264', 'vggt_cos_loss': '0.01825', 'pidinet_loss': '0.2846', 'siglip_loss': '0.4874', 'epoch': '0.2166'} + 67%|████████████████████ | 6022/9000 [4:42:10<3:33:52, 4.31s/it][Dataset] cur_step=6023 phase=C_full_covt +[Dataset] cur_step=6023 phase=C_full_covt[Dataset] cur_step=6023 phase=C_full_covt + +[Dataset] cur_step=6023 phase=C_full_covt[Dataset] cur_step=6023 phase=C_full_covt + + 67%|████████████████████ | 6023/9000 [4:42:11<3:25:38, 4.14s/it][Dataset] cur_step=6023 phase=C_full_covt +[Dataset] cur_step=6023 phase=C_full_covt[Dataset] cur_step=6023 phase=C_full_covt + + {'loss': '3.109', 'grad_norm': '1.766', 'learning_rate': '1.352e-05', 'epoch': '0.2167'} + 67%|████████████████████ | 6023/9000 [4:42:11<3:25:38, 4.14s/it] {'lm_loss': '0.6826', 'visual_loss': '2.652', 'seg_loss': '0.7525', 'dino_loss': '0.9355', 'depth_loss': '0.271', 'vggt_mse_loss': '0.2692', 'vggt_cos_loss': '0.01752', 'pidinet_loss': '0.2274', 'siglip_loss': '0.4659', 'epoch': '0.2167'} + 67%|████████████████████ | 6023/9000 [4:42:14<3:25:38, 4.14s/it][Dataset] cur_step=6024 phase=C_full_covt +[Dataset] cur_step=6024 phase=C_full_covt[Dataset] cur_step=6024 phase=C_full_covt + + 67%|████████████████████ | 6024/9000 [4:42:15<3:23:53, 4.11s/it][Dataset] cur_step=6024 phase=C_full_covt[Dataset] cur_step=6024 phase=C_full_covt[Dataset] cur_step=6024 phase=C_full_covt + + +[Dataset] cur_step=6024 phase=C_full_covt +[Dataset] cur_step=6024 phase=C_full_covt + {'loss': '3.114', 'grad_norm': '2.348', 'learning_rate': '1.352e-05', 'epoch': '0.2167'} + 67%|████████████████████ | 6024/9000 [4:42:15<3:23:53, 4.11s/it] {'lm_loss': '0.6061', 'visual_loss': '2.76', 'seg_loss': '0.7475', 'dino_loss': '0.9029', 'depth_loss': '0.1833', 'vggt_mse_loss': '0.1821', 'vggt_cos_loss': '0.01193', 'pidinet_loss': '0.2606', 'siglip_loss': '0.6654', 'epoch': '0.2167'} + 67%|████████████████████ | 6024/9000 [4:42:18<3:23:53, 4.11s/it][Dataset] cur_step=6025 phase=C_full_covt + 67%|████████████████████ | 6025/9000 [4:42:23<4:18:54, 5.22s/it][Dataset] cur_step=6025 phase=C_full_covt[Dataset] cur_step=6025 phase=C_full_covt +[Dataset] cur_step=6025 phase=C_full_covt +[Dataset] cur_step=6025 phase=C_full_covt + +[Dataset] cur_step=6025 phase=C_full_covt +[Dataset] cur_step=6025 phase=C_full_covt +[Dataset] cur_step=6025 phase=C_full_covt + {'loss': '2.818', 'grad_norm': '2.058', 'learning_rate': '1.351e-05', 'epoch': '0.2168'} + 67%|████████████████████ | 6025/9000 [4:42:23<4:18:54, 5.22s/it] {'lm_loss': '0.003627', 'visual_loss': '2.621', 'seg_loss': '0.7657', 'dino_loss': '0.9321', 'depth_loss': '0.2246', 'vggt_mse_loss': '0.2228', 'vggt_cos_loss': '0.01818', 'pidinet_loss': '0.2447', 'siglip_loss': '0.4544', 'epoch': '0.2168'} + 67%|████████████████████ | 6025/9000 [4:42:26<4:18:54, 5.22s/it][Dataset] cur_step=6026 phase=C_full_covt +[Dataset] cur_step=6026 phase=C_full_covt +[Dataset] cur_step=6026 phase=C_full_covt +[Dataset] cur_step=6026 phase=C_full_covt[Dataset] cur_step=6026 phase=C_full_covt + + 67%|████████████████████ | 6026/9000 [4:42:27<3:57:22, 4.79s/it][Dataset] cur_step=6026 phase=C_full_covt[Dataset] cur_step=6026 phase=C_full_covt + +[Dataset] cur_step=6026 phase=C_full_covt + {'loss': '3.022', 'grad_norm': '2.523', 'learning_rate': '1.35e-05', 'epoch': '0.2168'} + 67%|████████████████████ | 6026/9000 [4:42:27<3:57:22, 4.79s/it] {'lm_loss': '0.5155', 'visual_loss': '2.762', 'seg_loss': '0.7222', 'dino_loss': '0.9254', 'depth_loss': '0.2588', 'vggt_mse_loss': '0.2569', 'vggt_cos_loss': '0.01916', 'pidinet_loss': '0.2176', 'siglip_loss': '0.6375', 'epoch': '0.2168'} + 67%|████████████████████ | 6026/9000 [4:42:30<3:57:22, 4.79s/it][Dataset] cur_step=6027 phase=C_full_covt +[Dataset] cur_step=6027 phase=C_full_covt +[Dataset] cur_step=6027 phase=C_full_covt + 67%|████████████████████ | 6027/9000 [4:42:30<3:40:43, 4.45s/it][Dataset] cur_step=6027 phase=C_full_covt[Dataset] cur_step=6027 phase=C_full_covt + +[Dataset] cur_step=6027 phase=C_full_covt +[Dataset] cur_step=6027 phase=C_full_covt[Dataset] cur_step=6027 phase=C_full_covt + + {'loss': '3.136', 'grad_norm': '2.046', 'learning_rate': '1.349e-05', 'epoch': '0.2168'} + 67%|████████████████████ | 6027/9000 [4:42:30<3:40:43, 4.45s/it] {'lm_loss': '0.7755', 'visual_loss': '2.392', 'seg_loss': '0.6345', 'dino_loss': '0.8866', 'depth_loss': '0.2077', 'vggt_mse_loss': '0.2065', 'vggt_cos_loss': '0.01172', 'pidinet_loss': '0.2305', 'siglip_loss': '0.4326', 'epoch': '0.2168'} + 67%|████████████████████ | 6027/9000 [4:42:34<3:40:43, 4.45s/it][Dataset] cur_step=6028 phase=C_full_covt +[Dataset] cur_step=6028 phase=C_full_covt +[Dataset] cur_step=6028 phase=C_full_covt +[Dataset] cur_step=6028 phase=C_full_covt 67%|████████████████████ | 6028/9000 [4:42:34<3:34:31, 4.33s/it] +[Dataset] cur_step=6028 phase=C_full_covt +[Dataset] cur_step=6028 phase=C_full_covt[Dataset] cur_step=6028 phase=C_full_covt + +[Dataset] cur_step=6028 phase=C_full_covt + {'loss': '3.154', 'grad_norm': '1.604', 'learning_rate': '1.348e-05', 'epoch': '0.2169'} + 67%|████████████████████ | 6028/9000 [4:42:34<3:34:31, 4.33s/it] {'lm_loss': '0.6027', 'visual_loss': '2.482', 'seg_loss': '0.6079', 'dino_loss': '0.9015', 'depth_loss': '0.2896', 'vggt_mse_loss': '0.2876', 'vggt_cos_loss': '0.01996', 'pidinet_loss': '0.2047', 'siglip_loss': '0.478', 'epoch': '0.2169'} + 67%|████████████████████ | 6028/9000 [4:42:38<3:34:31, 4.33s/it][Dataset] cur_step=6029 phase=C_full_covt +[Dataset] cur_step=6029 phase=C_full_covt +[Dataset] cur_step=6029 phase=C_full_covt +[Dataset] cur_step=6029 phase=C_full_covt + 67%|████████████████████ | 6029/9000 [4:42:38<3:28:02, 4.20s/it][Dataset] cur_step=6029 phase=C_full_covt[Dataset] cur_step=6029 phase=C_full_covt + +[Dataset] cur_step=6029 phase=C_full_covt +[Dataset] cur_step=6029 phase=C_full_covt + {'loss': '3.064', 'grad_norm': '9.901', 'learning_rate': '1.347e-05', 'epoch': '0.2169'} + 67%|████████████████████ | 6029/9000 [4:42:38<3:28:02, 4.20s/it] {'lm_loss': '0.4113', 'visual_loss': '2.639', 'seg_loss': '0.6794', 'dino_loss': '0.9184', 'depth_loss': '0.2503', 'vggt_mse_loss': '0.2487', 'vggt_cos_loss': '0.01669', 'pidinet_loss': '0.2482', 'siglip_loss': '0.5426', 'epoch': '0.2169'} + 67%|████████████████████ | 6029/9000 [4:42:42<3:28:02, 4.20s/it][Dataset] cur_step=6030 phase=C_full_covt +[Dataset] cur_step=6030 phase=C_full_covt + 67%|████████████████████ | 6030/9000 [4:42:42<3:27:32, 4.19s/it][Dataset] cur_step=6030 phase=C_full_covt[Dataset] cur_step=6030 phase=C_full_covt + +[Dataset] cur_step=6030 phase=C_full_covt +[Dataset] cur_step=6030 phase=C_full_covt +[Dataset] cur_step=6030 phase=C_full_covt +[Dataset] cur_step=6030 phase=C_full_covt + {'loss': '2.867', 'grad_norm': '2.185', 'learning_rate': '1.347e-05', 'epoch': '0.2169'} + 67%|████████████████████ | 6030/9000 [4:42:42<3:27:32, 4.19s/it] {'lm_loss': '0.9666', 'visual_loss': '2.745', 'seg_loss': '0.6895', 'dino_loss': '0.9277', 'depth_loss': '0.2056', 'vggt_mse_loss': '0.2043', 'vggt_cos_loss': '0.01371', 'pidinet_loss': '0.2572', 'siglip_loss': '0.6648', 'epoch': '0.2169'} + 67%|████████████████████ | 6030/9000 [4:42:46<3:27:32, 4.19s/it][Dataset] cur_step=6031 phase=C_full_covt +[Dataset] cur_step=6031 phase=C_full_covt +[Dataset] cur_step=6031 phase=C_full_covt +[Dataset] cur_step=6031 phase=C_full_covt[Dataset] cur_step=6031 phase=C_full_covt + + 67%|████████████████████ | 6031/9000 [4:42:47<3:27:12, 4.19s/it][Dataset] cur_step=6031 phase=C_full_covt +[Dataset] cur_step=6031 phase=C_full_covt +[Dataset] cur_step=6031 phase=C_full_covt + {'loss': '3.084', 'grad_norm': '2.56', 'learning_rate': '1.346e-05', 'epoch': '0.217'} + 67%|████████████████████ | 6031/9000 [4:42:47<3:27:12, 4.19s/it] {'lm_loss': '0.4709', 'visual_loss': '2.607', 'seg_loss': '0.7307', 'dino_loss': '0.9013', 'depth_loss': '0.3042', 'vggt_mse_loss': '0.3019', 'vggt_cos_loss': '0.02338', 'pidinet_loss': '0.2086', 'siglip_loss': '0.4626', 'epoch': '0.217'} + 67%|████████████████████ | 6031/9000 [4:42:50<3:27:12, 4.19s/it][Dataset] cur_step=6032 phase=C_full_covt + 67%|████████████████████ | 6032/9000 [4:42:51<3:27:26, 4.19s/it][Dataset] cur_step=6032 phase=C_full_covt[Dataset] cur_step=6032 phase=C_full_covt + +[Dataset] cur_step=6032 phase=C_full_covt +[Dataset] cur_step=6032 phase=C_full_covt +[Dataset] cur_step=6032 phase=C_full_covt +[Dataset] cur_step=6032 phase=C_full_covt +[Dataset] cur_step=6032 phase=C_full_covt + {'loss': '3.168', 'grad_norm': '3.794', 'learning_rate': '1.345e-05', 'epoch': '0.217'} + 67%|████████████████████ | 6032/9000 [4:42:51<3:27:26, 4.19s/it] {'lm_loss': '0.356', 'visual_loss': '2.427', 'seg_loss': '0.6804', 'dino_loss': '0.879', 'depth_loss': '0.1996', 'vggt_mse_loss': '0.1983', 'vggt_cos_loss': '0.01272', 'pidinet_loss': '0.2049', 'siglip_loss': '0.463', 'epoch': '0.217'} + 67%|████████████████████ | 6032/9000 [4:42:54<3:27:26, 4.19s/it][Dataset] cur_step=6033 phase=C_full_covt +[Dataset] cur_step=6033 phase=C_full_covt +[Dataset] cur_step=6033 phase=C_full_covt[Dataset] cur_step=6033 phase=C_full_covt + + 67%|████████████████████ | 6033/9000 [4:42:55<3:30:16, 4.25s/it][Dataset] cur_step=6033 phase=C_full_covt +[Dataset] cur_step=6033 phase=C_full_covt +[Dataset] cur_step=6033 phase=C_full_covt +[Dataset] cur_step=6033 phase=C_full_covt + {'loss': '3.021', 'grad_norm': '2.163', 'learning_rate': '1.344e-05', 'epoch': '0.217'} + 67%|████████████████████ | 6033/9000 [4:42:55<3:30:16, 4.25s/it] {'lm_loss': '1.046', 'visual_loss': '2.616', 'seg_loss': '0.75', 'dino_loss': '0.873', 'depth_loss': '0.168', 'vggt_mse_loss': '0.1667', 'vggt_cos_loss': '0.01288', 'pidinet_loss': '0.2909', 'siglip_loss': '0.5339', 'epoch': '0.217'} + 67%|████████████████████ | 6033/9000 [4:42:58<3:30:16, 4.25s/it][Dataset] cur_step=6034 phase=C_full_covt +[Dataset] cur_step=6034 phase=C_full_covt +[Dataset] cur_step=6034 phase=C_full_covt +[Dataset] cur_step=6034 phase=C_full_covt +[Dataset] cur_step=6034 phase=C_full_covt +[Dataset] cur_step=6034 phase=C_full_covt + 67%|████████████████████ | 6034/9000 [4:42:59<3:25:10, 4.15s/it][Dataset] cur_step=6034 phase=C_full_covt +[Dataset] cur_step=6034 phase=C_full_covt + {'loss': '3.295', 'grad_norm': '1.577', 'learning_rate': '1.343e-05', 'epoch': '0.2171'} + 67%|████████████████████ | 6034/9000 [4:42:59<3:25:10, 4.15s/it] {'lm_loss': '1.096', 'visual_loss': '2.817', 'seg_loss': '0.8429', 'dino_loss': '0.8716', 'depth_loss': '0.187', 'vggt_mse_loss': '0.1857', 'vggt_cos_loss': '0.01281', 'pidinet_loss': '0.3227', 'siglip_loss': '0.5924', 'epoch': '0.2171'} + 67%|████████████████████ | 6034/9000 [4:43:02<3:25:10, 4.15s/it][Dataset] cur_step=6035 phase=C_full_covt +[Dataset] cur_step=6035 phase=C_full_covt[Dataset] cur_step=6035 phase=C_full_covt +[Dataset] cur_step=6035 phase=C_full_covt + +[Dataset] cur_step=6035 phase=C_full_covt +[Dataset] cur_step=6035 phase=C_full_covt + 67%|████████████████████ | 6035/9000 [4:43:03<3:21:56, 4.09s/it][Dataset] cur_step=6035 phase=C_full_covt +[Dataset] cur_step=6035 phase=C_full_covt + {'loss': '3.258', 'grad_norm': '6.208', 'learning_rate': '1.343e-05', 'epoch': '0.2171'} + 67%|████████████████████ | 6035/9000 [4:43:03<3:21:56, 4.09s/it] {'lm_loss': '0.7085', 'visual_loss': '2.681', 'seg_loss': '0.6262', 'dino_loss': '0.8968', 'depth_loss': '0.2506', 'vggt_mse_loss': '0.2489', 'vggt_cos_loss': '0.01695', 'pidinet_loss': '0.2624', 'siglip_loss': '0.6452', 'epoch': '0.2171'} + 67%|████████████████████ | 6035/9000 [4:43:06<3:21:56, 4.09s/it][Dataset] cur_step=6036 phase=C_full_covt +[Dataset] cur_step=6036 phase=C_full_covt[Dataset] cur_step=6036 phase=C_full_covt[Dataset] cur_step=6036 phase=C_full_covt + + +[Dataset] cur_step=6036 phase=C_full_covt + 67%|████████████████████ | 6036/9000 [4:43:07<3:24:55, 4.15s/it][Dataset] cur_step=6036 phase=C_full_covt +[Dataset] cur_step=6036 phase=C_full_covt +[Dataset] cur_step=6036 phase=C_full_covt + {'loss': '3.018', 'grad_norm': '2.269', 'learning_rate': '1.342e-05', 'epoch': '0.2171'} + 67%|████████████████████ | 6036/9000 [4:43:07<3:24:55, 4.15s/it] {'lm_loss': '0.6225', 'visual_loss': '2.68', 'seg_loss': '0.7505', 'dino_loss': '0.9496', 'depth_loss': '0.2496', 'vggt_mse_loss': '0.2476', 'vggt_cos_loss': '0.02048', 'pidinet_loss': '0.2074', 'siglip_loss': '0.5228', 'epoch': '0.2171'} + 67%|████████████████████ | 6036/9000 [4:43:11<3:24:55, 4.15s/it][Dataset] cur_step=6037 phase=C_full_covt +[Dataset] cur_step=6037 phase=C_full_covt +[Dataset] cur_step=6037 phase=C_full_covt[Dataset] cur_step=6037 phase=C_full_covt +[Dataset] cur_step=6037 phase=C_full_covt + + 67%|████████████████████ | 6037/9000 [4:43:11<3:20:28, 4.06s/it][Dataset] cur_step=6037 phase=C_full_covt[Dataset] cur_step=6037 phase=C_full_covt + +[Dataset] cur_step=6037 phase=C_full_covt + {'loss': '3.223', 'grad_norm': '2.186', 'learning_rate': '1.341e-05', 'epoch': '0.2172'} + 67%|████████████████████ | 6037/9000 [4:43:11<3:20:28, 4.06s/it] {'lm_loss': '0.241', 'visual_loss': '2.492', 'seg_loss': '0.6398', 'dino_loss': '0.8845', 'depth_loss': '0.2208', 'vggt_mse_loss': '0.2194', 'vggt_cos_loss': '0.01441', 'pidinet_loss': '0.2491', 'siglip_loss': '0.4975', 'epoch': '0.2172'} + 67%|████████████████████ | 6037/9000 [4:43:15<3:20:28, 4.06s/it][Dataset] cur_step=6038 phase=C_full_covt +[Dataset] cur_step=6038 phase=C_full_covt + 67%|████████████████████▏ | 6038/9000 [4:43:15<3:19:00, 4.03s/it][Dataset] cur_step=6038 phase=C_full_covt +[Dataset] cur_step=6038 phase=C_full_covt +[Dataset] cur_step=6038 phase=C_full_covt +[Dataset] cur_step=6038 phase=C_full_covt +[Dataset] cur_step=6038 phase=C_full_covt +[Dataset] cur_step=6038 phase=C_full_covt + {'loss': '2.922', 'grad_norm': '2.785', 'learning_rate': '1.34e-05', 'epoch': '0.2172'} + 67%|████████████████████▏ | 6038/9000 [4:43:15<3:19:00, 4.03s/it] {'lm_loss': '0.02327', 'visual_loss': '2.465', 'seg_loss': '0.7128', 'dino_loss': '0.9044', 'depth_loss': '0.2308', 'vggt_mse_loss': '0.2292', 'vggt_cos_loss': '0.01599', 'pidinet_loss': '0.2048', 'siglip_loss': '0.4124', 'epoch': '0.2172'} + 67%|████████████████████▏ | 6038/9000 [4:43:18<3:19:00, 4.03s/it][Dataset] cur_step=6039 phase=C_full_covt +[Dataset] cur_step=6039 phase=C_full_covt +[Dataset] cur_step=6039 phase=C_full_covt +[Dataset] cur_step=6039 phase=C_full_covt +[Dataset] cur_step=6039 phase=C_full_covt +[Dataset] cur_step=6039 phase=C_full_covt +[Dataset] cur_step=6039 phase=C_full_covt 67%|████████████████████▏ | 6039/9000 [4:43:19<3:16:00, 3.97s/it] +[Dataset] cur_step=6039 phase=C_full_covt + {'loss': '2.873', 'grad_norm': '2.097', 'learning_rate': '1.339e-05', 'epoch': '0.2173'} + 67%|████████████████████▏ | 6039/9000 [4:43:19<3:16:00, 3.97s/it] {'lm_loss': '0.002858', 'visual_loss': '2.062', 'seg_loss': '0.5535', 'dino_loss': '0.8623', 'depth_loss': '0.1896', 'vggt_mse_loss': '0.1886', 'vggt_cos_loss': '0.01042', 'pidinet_loss': '0.1756', 'siglip_loss': '0.2814', 'epoch': '0.2173'} + 67%|████████████████████▏ | 6039/9000 [4:43:22<3:16:00, 3.97s/it][Dataset] cur_step=6040 phase=C_full_covt +[Dataset] cur_step=6040 phase=C_full_covt +[Dataset] cur_step=6040 phase=C_full_covt[Dataset] cur_step=6040 phase=C_full_covt + +[Dataset] cur_step=6040 phase=C_full_covt +[Dataset] cur_step=6040 phase=C_full_covt +[Dataset] cur_step=6040 phase=C_full_covt + 67%|████████████████████▏ | 6040/9000 [4:43:23<3:20:16, 4.06s/it][Dataset] cur_step=6040 phase=C_full_covt + {'loss': '3.132', 'grad_norm': '6.239', 'learning_rate': '1.339e-05', 'epoch': '0.2173'} + 67%|████████████████████▏ | 6040/9000 [4:43:23<3:20:16, 4.06s/it] {'lm_loss': '0.001687', 'visual_loss': '2.695', 'seg_loss': '0.7061', 'dino_loss': '0.9333', 'depth_loss': '0.2423', 'vggt_mse_loss': '0.2406', 'vggt_cos_loss': '0.01769', 'pidinet_loss': '0.2424', 'siglip_loss': '0.571', 'epoch': '0.2173'} + 67%|████████████████████▏ | 6040/9000 [4:43:26<3:20:16, 4.06s/it][Dataset] cur_step=6041 phase=C_full_covt + 67%|████████████████████▏ | 6041/9000 [4:43:27<3:16:34, 3.99s/it][Dataset] cur_step=6041 phase=C_full_covt +[Dataset] cur_step=6041 phase=C_full_covt +[Dataset] cur_step=6041 phase=C_full_covt +[Dataset] cur_step=6041 phase=C_full_covt +[Dataset] cur_step=6041 phase=C_full_covt[Dataset] cur_step=6041 phase=C_full_covt + +[Dataset] cur_step=6041 phase=C_full_covt + {'loss': '3.151', 'grad_norm': '1.61', 'learning_rate': '1.338e-05', 'epoch': '0.2173'} + 67%|████████████████████▏ | 6041/9000 [4:43:27<3:16:34, 3.99s/it] {'lm_loss': '0.2921', 'visual_loss': '2.894', 'seg_loss': '0.8235', 'dino_loss': '0.9273', 'depth_loss': '0.2892', 'vggt_mse_loss': '0.2868', 'vggt_cos_loss': '0.02384', 'pidinet_loss': '0.2327', 'siglip_loss': '0.6217', 'epoch': '0.2173'} + 67%|████████████████████▏ | 6041/9000 [4:43:30<3:16:34, 3.99s/it][Dataset] cur_step=6042 phase=C_full_covt +[Dataset] cur_step=6042 phase=C_full_covt[Dataset] cur_step=6042 phase=C_full_covt + +[Dataset] cur_step=6042 phase=C_full_covt[Dataset] cur_step=6042 phase=C_full_covt + + 67%|████████████████████▏ | 6042/9000 [4:43:31<3:13:14, 3.92s/it][Dataset] cur_step=6042 phase=C_full_covt +[Dataset] cur_step=6042 phase=C_full_covt +[Dataset] cur_step=6042 phase=C_full_covt + {'loss': '3.132', 'grad_norm': '1.54', 'learning_rate': '1.337e-05', 'epoch': '0.2174'} + 67%|████████████████████▏ | 6042/9000 [4:43:31<3:13:14, 3.92s/it] {'lm_loss': '0.3123', 'visual_loss': '2.662', 'seg_loss': '0.6413', 'dino_loss': '0.8943', 'depth_loss': '0.2104', 'vggt_mse_loss': '0.2092', 'vggt_cos_loss': '0.01181', 'pidinet_loss': '0.2084', 'siglip_loss': '0.7077', 'epoch': '0.2174'} + 67%|████████████████████▏ | 6042/9000 [4:43:35<3:13:14, 3.92s/it][Dataset] cur_step=6043 phase=C_full_covt +[Dataset] cur_step=6043 phase=C_full_covt +[Dataset] cur_step=6043 phase=C_full_covt +[Dataset] cur_step=6043 phase=C_full_covt[Dataset] cur_step=6043 phase=C_full_covt + +[Dataset] cur_step=6043 phase=C_full_covt + 67%|████████████████████▏ | 6043/9000 [4:43:36<3:27:07, 4.20s/it][Dataset] cur_step=6043 phase=C_full_covt +[Dataset] cur_step=6043 phase=C_full_covt + {'loss': '3.076', 'grad_norm': '1.628', 'learning_rate': '1.336e-05', 'epoch': '0.2174'} + 67%|████████████████████▏ | 6043/9000 [4:43:36<3:27:07, 4.20s/it] {'lm_loss': '0.3778', 'visual_loss': '2.656', 'seg_loss': '0.6353', 'dino_loss': '0.8958', 'depth_loss': '0.2035', 'vggt_mse_loss': '0.2021', 'vggt_cos_loss': '0.01427', 'pidinet_loss': '0.1807', 'siglip_loss': '0.7406', 'epoch': '0.2174'} + 67%|████████████████████▏ | 6043/9000 [4:43:39<3:27:07, 4.20s/it][Dataset] cur_step=6044 phase=C_full_covt + 67%|████████████████████▏ | 6044/9000 [4:43:40<3:26:04, 4.18s/it][Dataset] cur_step=6044 phase=C_full_covt[Dataset] cur_step=6044 phase=C_full_covt + +[Dataset] cur_step=6044 phase=C_full_covt +[Dataset] cur_step=6044 phase=C_full_covt +[Dataset] cur_step=6044 phase=C_full_covt +[Dataset] cur_step=6044 phase=C_full_covt +[Dataset] cur_step=6044 phase=C_full_covt + {'loss': '3.092', 'grad_norm': '1.756', 'learning_rate': '1.335e-05', 'epoch': '0.2174'} + 67%|████████████████████▏ | 6044/9000 [4:43:40<3:26:04, 4.18s/it] {'lm_loss': '0.004002', 'visual_loss': '2.489', 'seg_loss': '0.7023', 'dino_loss': '0.9005', 'depth_loss': '0.2525', 'vggt_mse_loss': '0.2508', 'vggt_cos_loss': '0.0167', 'pidinet_loss': '0.2019', 'siglip_loss': '0.432', 'epoch': '0.2174'} + 67%|████████████████████▏ | 6044/9000 [4:43:43<3:26:04, 4.18s/it][Dataset] cur_step=6045 phase=C_full_covt +[Dataset] cur_step=6045 phase=C_full_covt +[Dataset] cur_step=6045 phase=C_full_covt[Dataset] cur_step=6045 phase=C_full_covt[Dataset] cur_step=6045 phase=C_full_covt + + + 67%|████████████████████▏ | 6045/9000 [4:43:44<3:22:50, 4.12s/it][Dataset] cur_step=6045 phase=C_full_covt +[Dataset] cur_step=6045 phase=C_full_covt +[Dataset] cur_step=6045 phase=C_full_covt + {'loss': '3.056', 'grad_norm': '1.893', 'learning_rate': '1.334e-05', 'epoch': '0.2175'} + 67%|████████████████████▏ | 6045/9000 [4:43:44<3:22:50, 4.12s/it] {'lm_loss': '0.7089', 'visual_loss': '2.703', 'seg_loss': '0.6853', 'dino_loss': '0.9161', 'depth_loss': '0.2276', 'vggt_mse_loss': '0.2258', 'vggt_cos_loss': '0.01853', 'pidinet_loss': '0.2646', 'siglip_loss': '0.6096', 'epoch': '0.2175'} + 67%|████████████████████▏ | 6045/9000 [4:43:47<3:22:50, 4.12s/it][Dataset] cur_step=6046 phase=C_full_covt +[Dataset] cur_step=6046 phase=C_full_covt[Dataset] cur_step=6046 phase=C_full_covt + +[Dataset] cur_step=6046 phase=C_full_covt + 67%|████████████████████▏ | 6046/9000 [4:43:48<3:17:31, 4.01s/it][Dataset] cur_step=6046 phase=C_full_covt +[Dataset] cur_step=6046 phase=C_full_covt +[Dataset] cur_step=6046 phase=C_full_covt +[Dataset] cur_step=6046 phase=C_full_covt + {'loss': '3.293', 'grad_norm': '2.269', 'learning_rate': '1.334e-05', 'epoch': '0.2175'} + 67%|████████████████████▏ | 6046/9000 [4:43:48<3:17:31, 4.01s/it] {'lm_loss': '0.3025', 'visual_loss': '2.698', 'seg_loss': '0.7183', 'dino_loss': '0.8845', 'depth_loss': '0.2056', 'vggt_mse_loss': '0.2042', 'vggt_cos_loss': '0.01445', 'pidinet_loss': '0.2598', 'siglip_loss': '0.6296', 'epoch': '0.2175'} + 67%|████████████████████▏ | 6046/9000 [4:43:51<3:17:31, 4.01s/it][Dataset] cur_step=6047 phase=C_full_covt[Dataset] cur_step=6047 phase=C_full_covt + +[Dataset] cur_step=6047 phase=C_full_covt[Dataset] cur_step=6047 phase=C_full_covt + +[Dataset] cur_step=6047 phase=C_full_covt[Dataset] cur_step=6047 phase=C_full_covt + +[Dataset] cur_step=6047 phase=C_full_covt + 67%|████████████████████▏ | 6047/9000 [4:43:51<3:15:57, 3.98s/it][Dataset] cur_step=6047 phase=C_full_covt + {'loss': '3.031', 'grad_norm': '3.218', 'learning_rate': '1.333e-05', 'epoch': '0.2175'} + 67%|████████████████████▏ | 6047/9000 [4:43:51<3:15:57, 3.98s/it] {'lm_loss': '0.2408', 'visual_loss': '3.017', 'seg_loss': '0.7517', 'dino_loss': '0.9353', 'depth_loss': '0.2518', 'vggt_mse_loss': '0.2503', 'vggt_cos_loss': '0.01557', 'pidinet_loss': '0.1911', 'siglip_loss': '0.8868', 'epoch': '0.2175'} + 67%|████████████████████▏ | 6047/9000 [4:43:54<3:15:57, 3.98s/it][Dataset] cur_step=6048 phase=C_full_covt[Dataset] cur_step=6048 phase=C_full_covt + +[Dataset] cur_step=6048 phase=C_full_covt +[Dataset] cur_step=6048 phase=C_full_covt + 67%|████████████████████▏ | 6048/9000 [4:43:56<3:16:55, 4.00s/it][Dataset] cur_step=6048 phase=C_full_covt +[Dataset] cur_step=6048 phase=C_full_covt +[Dataset] cur_step=6048 phase=C_full_covt +[Dataset] cur_step=6048 phase=C_full_covt + {'loss': '3.091', 'grad_norm': '2.129', 'learning_rate': '1.332e-05', 'epoch': '0.2176'} + 67%|████████████████████▏ | 6048/9000 [4:43:56<3:16:55, 4.00s/it] {'lm_loss': '0.809', 'visual_loss': '2.67', 'seg_loss': '0.6303', 'dino_loss': '0.8845', 'depth_loss': '0.239', 'vggt_mse_loss': '0.2375', 'vggt_cos_loss': '0.01442', 'pidinet_loss': '0.2815', 'siglip_loss': '0.635', 'epoch': '0.2176'} + 67%|████████████████████▏ | 6048/9000 [4:43:59<3:16:55, 4.00s/it][Dataset] cur_step=6049 phase=C_full_covt +[Dataset] cur_step=6049 phase=C_full_covt[Dataset] cur_step=6049 phase=C_full_covt + +[Dataset] cur_step=6049 phase=C_full_covt[Dataset] cur_step=6049 phase=C_full_covt +[Dataset] cur_step=6049 phase=C_full_covt + + 67%|████████████████████▏ | 6049/9000 [4:44:00<3:16:31, 4.00s/it][Dataset] cur_step=6049 phase=C_full_covt +[Dataset] cur_step=6049 phase=C_full_covt + {'loss': '3.184', 'grad_norm': '2.496', 'learning_rate': '1.331e-05', 'epoch': '0.2176'} + 67%|████████████████████▏ | 6049/9000 [4:44:00<3:16:31, 4.00s/it] {'lm_loss': '0.01164', 'visual_loss': '2.57', 'seg_loss': '0.5237', 'dino_loss': '0.8861', 'depth_loss': '0.3413', 'vggt_mse_loss': '0.3381', 'vggt_cos_loss': '0.03228', 'pidinet_loss': '0.2686', 'siglip_loss': '0.5498', 'epoch': '0.2176'} + 67%|████████████████████▏ | 6049/9000 [4:44:03<3:16:31, 4.00s/it][Dataset] cur_step=6050 phase=C_full_covt +[Dataset] cur_step=6050 phase=C_full_covt +[Dataset] cur_step=6050 phase=C_full_covt[Dataset] cur_step=6050 phase=C_full_covt + +[Dataset] cur_step=6050 phase=C_full_covt +[Dataset] cur_step=6050 phase=C_full_covt + 67%|████████████████████▏ | 6050/9000 [4:44:04<3:16:30, 4.00s/it][Dataset] cur_step=6050 phase=C_full_covt +[Dataset] cur_step=6050 phase=C_full_covt + {'loss': '3.063', 'grad_norm': '1.461', 'learning_rate': '1.33e-05', 'epoch': '0.2176'} + 67%|████████████████████▏ | 6050/9000 [4:44:04<3:16:30, 4.00s/it] {'lm_loss': '0.2558', 'visual_loss': '2.528', 'seg_loss': '0.6962', 'dino_loss': '0.9053', 'depth_loss': '0.2445', 'vggt_mse_loss': '0.243', 'vggt_cos_loss': '0.01478', 'pidinet_loss': '0.237', 'siglip_loss': '0.4451', 'epoch': '0.2176'} + 67%|████████████████████▏ | 6050/9000 [4:44:07<3:16:30, 4.00s/it][Dataset] cur_step=6051 phase=C_full_covt +[Dataset] cur_step=6051 phase=C_full_covt +[Dataset] cur_step=6051 phase=C_full_covt[Dataset] cur_step=6051 phase=C_full_covt + + 67%|████████████████████▏ | 6051/9000 [4:44:08<3:22:01, 4.11s/it][Dataset] cur_step=6051 phase=C_full_covt +[Dataset] cur_step=6051 phase=C_full_covt +[Dataset] cur_step=6051 phase=C_full_covt +[Dataset] cur_step=6051 phase=C_full_covt + {'loss': '3.028', 'grad_norm': '1.795', 'learning_rate': '1.33e-05', 'epoch': '0.2177'} + 67%|████████████████████▏ | 6051/9000 [4:44:08<3:22:01, 4.11s/it] {'lm_loss': '0.2606', 'visual_loss': '2.652', 'seg_loss': '0.7696', 'dino_loss': '0.8794', 'depth_loss': '0.186', 'vggt_mse_loss': '0.1848', 'vggt_cos_loss': '0.01123', 'pidinet_loss': '0.2914', 'siglip_loss': '0.5253', 'epoch': '0.2177'} + 67%|████████████████████▏ | 6051/9000 [4:44:11<3:22:01, 4.11s/it][Dataset] cur_step=6052 phase=C_full_covt +[Dataset] cur_step=6052 phase=C_full_covt +[Dataset] cur_step=6052 phase=C_full_covt +[Dataset] cur_step=6052 phase=C_full_covt +[Dataset] cur_step=6052 phase=C_full_covt +[Dataset] cur_step=6052 phase=C_full_covt +[Dataset] cur_step=6052 phase=C_full_covt + 67%|████████████████████▏ | 6052/9000 [4:44:12<3:17:37, 4.02s/it][Dataset] cur_step=6052 phase=C_full_covt + {'loss': '3.199', 'grad_norm': '3.06', 'learning_rate': '1.329e-05', 'epoch': '0.2177'} + 67%|████████████████████▏ | 6052/9000 [4:44:12<3:17:37, 4.02s/it] {'lm_loss': '0.6391', 'visual_loss': '2.477', 'seg_loss': '0.6448', 'dino_loss': '0.8641', 'depth_loss': '0.2068', 'vggt_mse_loss': '0.2054', 'vggt_cos_loss': '0.01385', 'pidinet_loss': '0.1951', 'siglip_loss': '0.5661', 'epoch': '0.2177'} + 67%|████████████████████▏ | 6052/9000 [4:44:15<3:17:37, 4.02s/it][Dataset] cur_step=6053 phase=C_full_covt +[Dataset] cur_step=6053 phase=C_full_covt[Dataset] cur_step=6053 phase=C_full_covt + +[Dataset] cur_step=6053 phase=C_full_covt[Dataset] cur_step=6053 phase=C_full_covt + + 67%|████████████████████▏ | 6053/9000 [4:44:16<3:20:41, 4.09s/it][Dataset] cur_step=6053 phase=C_full_covt +[Dataset] cur_step=6053 phase=C_full_covt +[Dataset] cur_step=6053 phase=C_full_covt + {'loss': '3.062', 'grad_norm': '1.834', 'learning_rate': '1.328e-05', 'epoch': '0.2178'} + 67%|████████████████████▏ | 6053/9000 [4:44:16<3:20:41, 4.09s/it] {'lm_loss': '0.0236', 'visual_loss': '2.466', 'seg_loss': '0.6673', 'dino_loss': '0.8835', 'depth_loss': '0.2', 'vggt_mse_loss': '0.1989', 'vggt_cos_loss': '0.01108', 'pidinet_loss': '0.2085', 'siglip_loss': '0.5063', 'epoch': '0.2178'} + 67%|████████████████████▏ | 6053/9000 [4:44:22<3:20:41, 4.09s/it][Dataset] cur_step=6054 phase=C_full_covt + 67%|████████████████████▏ | 6054/9000 [4:44:23<4:01:07, 4.91s/it][Dataset] cur_step=6054 phase=C_full_covt[Dataset] cur_step=6054 phase=C_full_covt + +[Dataset] cur_step=6054 phase=C_full_covt +[Dataset] cur_step=6054 phase=C_full_covt[Dataset] cur_step=6054 phase=C_full_covt + +[Dataset] cur_step=6054 phase=C_full_covt +[Dataset] cur_step=6054 phase=C_full_covt + {'loss': '3.029', 'grad_norm': '2.223', 'learning_rate': '1.327e-05', 'epoch': '0.2178'} + 67%|████████████████████▏ | 6054/9000 [4:44:23<4:01:07, 4.91s/it] {'lm_loss': '0.7825', 'visual_loss': '2.833', 'seg_loss': '0.7124', 'dino_loss': '0.9134', 'depth_loss': '0.371', 'vggt_mse_loss': '0.3683', 'vggt_cos_loss': '0.02634', 'pidinet_loss': '0.2597', 'siglip_loss': '0.5761', 'epoch': '0.2178'} + 67%|████████████████████▏ | 6054/9000 [4:44:26<4:01:07, 4.91s/it][Dataset] cur_step=6055 phase=C_full_covt +[Dataset] cur_step=6055 phase=C_full_covt +[Dataset] cur_step=6055 phase=C_full_covt + 67%|████████████████████▏ | 6055/9000 [4:44:27<3:46:54, 4.62s/it][Dataset] cur_step=6055 phase=C_full_covt +[Dataset] cur_step=6055 phase=C_full_covt +[Dataset] cur_step=6055 phase=C_full_covt +[Dataset] cur_step=6055 phase=C_full_covt +[Dataset] cur_step=6055 phase=C_full_covt + {'loss': '3.119', 'grad_norm': '3.178', 'learning_rate': '1.326e-05', 'epoch': '0.2178'} + 67%|████████████████████▏ | 6055/9000 [4:44:27<3:46:54, 4.62s/it] {'lm_loss': '0.00348', 'visual_loss': '2.528', 'seg_loss': '0.7454', 'dino_loss': '0.898', 'depth_loss': '0.2273', 'vggt_mse_loss': '0.2259', 'vggt_cos_loss': '0.01357', 'pidinet_loss': '0.2167', 'siglip_loss': '0.4403', 'epoch': '0.2178'} + 67%|████████████████████▏ | 6055/9000 [4:44:30<3:46:54, 4.62s/it][Dataset] cur_step=6056 phase=C_full_covt +[Dataset] cur_step=6056 phase=C_full_covt +[Dataset] cur_step=6056 phase=C_full_covt[Dataset] cur_step=6056 phase=C_full_covt + +[Dataset] cur_step=6056 phase=C_full_covt +[Dataset] cur_step=6056 phase=C_full_covt +[Dataset] cur_step=6056 phase=C_full_covt + 67%|████████████████████▏ | 6056/9000 [4:44:33<4:15:01, 5.20s/it][Dataset] cur_step=6056 phase=C_full_covt + {'loss': '3.267', 'grad_norm': '2.579', 'learning_rate': '1.326e-05', 'epoch': '0.2179'} + 67%|████████████████████▏ | 6056/9000 [4:44:33<4:15:01, 5.20s/it] {'lm_loss': '0.8183', 'visual_loss': '2.869', 'seg_loss': '0.7385', 'dino_loss': '0.893', 'depth_loss': '0.2811', 'vggt_mse_loss': '0.2794', 'vggt_cos_loss': '0.01734', 'pidinet_loss': '0.3128', 'siglip_loss': '0.6439', 'epoch': '0.2179'} + 67%|████████████████████▏ | 6056/9000 [4:44:36<4:15:01, 5.20s/it][Dataset] cur_step=6057 phase=C_full_covt +[Dataset] cur_step=6057 phase=C_full_covt +[Dataset] cur_step=6057 phase=C_full_covt +[Dataset] cur_step=6057 phase=C_full_covt[Dataset] cur_step=6057 phase=C_full_covt + +[Dataset] cur_step=6057 phase=C_full_covt +[Dataset] cur_step=6057 phase=C_full_covt +[Dataset] cur_step=6057 phase=C_full_covt + 67%|████████████████████▏ | 6057/9000 [4:44:37<3:55:52, 4.81s/it] {'loss': '3.147', 'grad_norm': '1.991', 'learning_rate': '1.325e-05', 'epoch': '0.2179'} + 67%|████████████████████▏ | 6057/9000 [4:44:37<3:55:52, 4.81s/it] {'lm_loss': '0.2622', 'visual_loss': '2.428', 'seg_loss': '0.5945', 'dino_loss': '0.9033', 'depth_loss': '0.2225', 'vggt_mse_loss': '0.2209', 'vggt_cos_loss': '0.01599', 'pidinet_loss': '0.2502', 'siglip_loss': '0.4578', 'epoch': '0.2179'} + 67%|████████████████████▏ | 6057/9000 [4:44:41<3:55:52, 4.81s/it][Dataset] cur_step=6058 phase=C_full_covt +[Dataset] cur_step=6058 phase=C_full_covt[Dataset] cur_step=6058 phase=C_full_covt + +[Dataset] cur_step=6058 phase=C_full_covt 67%|████████████████████▏ | 6058/9000 [4:44:41<3:46:34, 4.62s/it] +[Dataset] cur_step=6058 phase=C_full_covt +[Dataset] cur_step=6058 phase=C_full_covt +[Dataset] cur_step=6058 phase=C_full_covt +[Dataset] cur_step=6058 phase=C_full_covt + {'loss': '3.003', 'grad_norm': '3.221', 'learning_rate': '1.324e-05', 'epoch': '0.2179'} + 67%|████████████████████▏ | 6058/9000 [4:44:41<3:46:34, 4.62s/it] {'lm_loss': '1.735', 'visual_loss': '2.887', 'seg_loss': '0.7083', 'dino_loss': '0.8815', 'depth_loss': '0.246', 'vggt_mse_loss': '0.2443', 'vggt_cos_loss': '0.01645', 'pidinet_loss': '0.2813', 'siglip_loss': '0.7702', 'epoch': '0.2179'} + 67%|████████████████████▏ | 6058/9000 [4:44:44<3:46:34, 4.62s/it][Dataset] cur_step=6059 phase=C_full_covt[Dataset] cur_step=6059 phase=C_full_covt + +[Dataset] cur_step=6059 phase=C_full_covt +[Dataset] cur_step=6059 phase=C_full_covt +[Dataset] cur_step=6059 phase=C_full_covt +[Dataset] cur_step=6059 phase=C_full_covt +[Dataset] cur_step=6059 phase=C_full_covt 67%|████████████████████▏ | 6059/9000 [4:44:45<3:36:16, 4.41s/it] +[Dataset] cur_step=6059 phase=C_full_covt + {'loss': '3.472', 'grad_norm': '3.037', 'learning_rate': '1.323e-05', 'epoch': '0.218'} + 67%|████████████████████▏ | 6059/9000 [4:44:45<3:36:16, 4.41s/it] {'lm_loss': '0.7747', 'visual_loss': '2.723', 'seg_loss': '0.6927', 'dino_loss': '0.9246', 'depth_loss': '0.266', 'vggt_mse_loss': '0.2642', 'vggt_cos_loss': '0.01787', 'pidinet_loss': '0.2962', 'siglip_loss': '0.5437', 'epoch': '0.218'} + 67%|████████████████████▏ | 6059/9000 [4:44:49<3:36:16, 4.41s/it][Dataset] cur_step=6060 phase=C_full_covt +[Dataset] cur_step=6060 phase=C_full_covt +[Dataset] cur_step=6060 phase=C_full_covt[Dataset] cur_step=6060 phase=C_full_covt + +[Dataset] cur_step=6060 phase=C_full_covt + 67%|████████████████████▏ | 6060/9000 [4:44:49<3:33:01, 4.35s/it][Dataset] cur_step=6060 phase=C_full_covt +[Dataset] cur_step=6060 phase=C_full_covt +[Dataset] cur_step=6060 phase=C_full_covt + {'loss': '3.158', 'grad_norm': '3.179', 'learning_rate': '1.322e-05', 'epoch': '0.218'} + 67%|████████████████████▏ | 6060/9000 [4:44:49<3:33:01, 4.35s/it] {'lm_loss': '0.3927', 'visual_loss': '2.639', 'seg_loss': '0.6026', 'dino_loss': '0.9187', 'depth_loss': '0.2815', 'vggt_mse_loss': '0.2791', 'vggt_cos_loss': '0.02393', 'pidinet_loss': '0.2557', 'siglip_loss': '0.5804', 'epoch': '0.218'} + 67%|████████████████████▏ | 6060/9000 [4:44:52<3:33:01, 4.35s/it][Dataset] cur_step=6061 phase=C_full_covt +[Dataset] cur_step=6061 phase=C_full_covt +[Dataset] cur_step=6061 phase=C_full_covt +[Dataset] cur_step=6061 phase=C_full_covt[Dataset] cur_step=6061 phase=C_full_covt + + 67%|████████████████████▏ | 6061/9000 [4:44:53<3:25:08, 4.19s/it][Dataset] cur_step=6061 phase=C_full_covt +[Dataset] cur_step=6061 phase=C_full_covt +[Dataset] cur_step=6061 phase=C_full_covt + {'loss': '3.103', 'grad_norm': '2.142', 'learning_rate': '1.321e-05', 'epoch': '0.218'} + 67%|████████████████████▏ | 6061/9000 [4:44:53<3:25:08, 4.19s/it] {'lm_loss': '0.01125', 'visual_loss': '2.691', 'seg_loss': '0.7377', 'dino_loss': '0.9105', 'depth_loss': '0.28', 'vggt_mse_loss': '0.2783', 'vggt_cos_loss': '0.01759', 'pidinet_loss': '0.2071', 'siglip_loss': '0.5552', 'epoch': '0.218'} + 67%|████████████████████▏ | 6061/9000 [4:44:57<3:25:08, 4.19s/it][Dataset] cur_step=6062 phase=C_full_covt +[Dataset] cur_step=6062 phase=C_full_covt +[Dataset] cur_step=6062 phase=C_full_covt +[Dataset] cur_step=6062 phase=C_full_covt[Dataset] cur_step=6062 phase=C_full_covt + + 67%|████████████████████▏ | 6062/9000 [4:44:57<3:23:11, 4.15s/it][Dataset] cur_step=6062 phase=C_full_covt +[Dataset] cur_step=6062 phase=C_full_covt +[Dataset] cur_step=6062 phase=C_full_covt + {'loss': '2.917', 'grad_norm': '2.772', 'learning_rate': '1.321e-05', 'epoch': '0.2181'} + 67%|████████████████████▏ | 6062/9000 [4:44:57<3:23:11, 4.15s/it] {'lm_loss': '0.8988', 'visual_loss': '2.606', 'seg_loss': '0.7161', 'dino_loss': '0.8883', 'depth_loss': '0.2083', 'vggt_mse_loss': '0.2067', 'vggt_cos_loss': '0.01621', 'pidinet_loss': '0.2252', 'siglip_loss': '0.5677', 'epoch': '0.2181'} + 67%|████████████████████▏ | 6062/9000 [4:45:00<3:23:11, 4.15s/it][Dataset] cur_step=6063 phase=C_full_covt +[Dataset] cur_step=6063 phase=C_full_covt +[Dataset] cur_step=6063 phase=C_full_covt +[Dataset] cur_step=6063 phase=C_full_covt +[Dataset] cur_step=6063 phase=C_full_covt +[Dataset] cur_step=6063 phase=C_full_covt + 67%|████████████████████▏ | 6063/9000 [4:45:02<3:25:58, 4.21s/it][Dataset] cur_step=6063 phase=C_full_covt +[Dataset] cur_step=6063 phase=C_full_covt + {'loss': '3.036', 'grad_norm': '2.456', 'learning_rate': '1.32e-05', 'epoch': '0.2181'} + 67%|████████████████████▏ | 6063/9000 [4:45:02<3:25:58, 4.21s/it] {'lm_loss': '0.732', 'visual_loss': '2.782', 'seg_loss': '0.7952', 'dino_loss': '0.928', 'depth_loss': '0.2355', 'vggt_mse_loss': '0.234', 'vggt_cos_loss': '0.01552', 'pidinet_loss': '0.2493', 'siglip_loss': '0.5737', 'epoch': '0.2181'} + 67%|████████████████████▏ | 6063/9000 [4:45:05<3:25:58, 4.21s/it][Dataset] cur_step=6064 phase=C_full_covt +[Dataset] cur_step=6064 phase=C_full_covt +[Dataset] cur_step=6064 phase=C_full_covt +[Dataset] cur_step=6064 phase=C_full_covt +[Dataset] cur_step=6064 phase=C_full_covt + 67%|████████████████████▏ | 6064/9000 [4:45:06<3:26:43, 4.22s/it][Dataset] cur_step=6064 phase=C_full_covt +[Dataset] cur_step=6064 phase=C_full_covt +[Dataset] cur_step=6064 phase=C_full_covt + {'loss': '3.05', 'grad_norm': '3.272', 'learning_rate': '1.319e-05', 'epoch': '0.2182'} + 67%|████████████████████▏ | 6064/9000 [4:45:06<3:26:43, 4.22s/it] {'lm_loss': '0.3413', 'visual_loss': '2.649', 'seg_loss': '0.6811', 'dino_loss': '0.9296', 'depth_loss': '0.2456', 'vggt_mse_loss': '0.2438', 'vggt_cos_loss': '0.01828', 'pidinet_loss': '0.2683', 'siglip_loss': '0.5248', 'epoch': '0.2182'} + 67%|████████████████████▏ | 6064/9000 [4:45:10<3:26:43, 4.22s/it][Dataset] cur_step=6065 phase=C_full_covt +[Dataset] cur_step=6065 phase=C_full_covt +[Dataset] cur_step=6065 phase=C_full_covt +[Dataset] cur_step=6065 phase=C_full_covt + 67%|████████████████████▏ | 6065/9000 [4:45:12<3:46:14, 4.63s/it][Dataset] cur_step=6065 phase=C_full_covt +[Dataset] cur_step=6065 phase=C_full_covt[Dataset] cur_step=6065 phase=C_full_covt + +[Dataset] cur_step=6065 phase=C_full_covt + {'loss': '2.972', 'grad_norm': '1.723', 'learning_rate': '1.318e-05', 'epoch': '0.2182'} + 67%|████████████████████▏ | 6065/9000 [4:45:12<3:46:14, 4.63s/it] {'lm_loss': '1.13', 'visual_loss': '2.885', 'seg_loss': '0.7239', 'dino_loss': '0.9242', 'depth_loss': '0.3386', 'vggt_mse_loss': '0.3355', 'vggt_cos_loss': '0.03096', 'pidinet_loss': '0.2754', 'siglip_loss': '0.6224', 'epoch': '0.2182'} + 67%|████████████████████▏ | 6065/9000 [4:45:14<3:46:14, 4.63s/it][Dataset] cur_step=6066 phase=C_full_covt +[Dataset] cur_step=6066 phase=C_full_covt +[Dataset] cur_step=6066 phase=C_full_covt +[Dataset] cur_step=6066 phase=C_full_covt[Dataset] cur_step=6066 phase=C_full_covt + +[Dataset] cur_step=6066 phase=C_full_covt +[Dataset] cur_step=6066 phase=C_full_covt + 67%|████████████████████▏ | 6066/9000 [4:45:15<3:35:14, 4.40s/it][Dataset] cur_step=6066 phase=C_full_covt + {'loss': '3.192', 'grad_norm': '3.351', 'learning_rate': '1.317e-05', 'epoch': '0.2182'} + 67%|████████████████████▏ | 6066/9000 [4:45:15<3:35:14, 4.40s/it] {'lm_loss': '0.5692', 'visual_loss': '2.8', 'seg_loss': '0.8289', 'dino_loss': '0.9203', 'depth_loss': '0.241', 'vggt_mse_loss': '0.2394', 'vggt_cos_loss': '0.01645', 'pidinet_loss': '0.2438', 'siglip_loss': '0.5663', 'epoch': '0.2182'} + 67%|████████████████████▏ | 6066/9000 [4:45:18<3:35:14, 4.40s/it][Dataset] cur_step=6067 phase=C_full_covt +[Dataset] cur_step=6067 phase=C_full_covt +[Dataset] cur_step=6067 phase=C_full_covt +[Dataset] cur_step=6067 phase=C_full_covt +[Dataset] cur_step=6067 phase=C_full_covt +[Dataset] cur_step=6067 phase=C_full_covt +[Dataset] cur_step=6067 phase=C_full_covt + 67%|████████████████████▏ | 6067/9000 [4:45:19<3:30:19, 4.30s/it][Dataset] cur_step=6067 phase=C_full_covt + {'loss': '3.002', 'grad_norm': '3.556', 'learning_rate': '1.317e-05', 'epoch': '0.2183'} + 67%|████████████████████▏ | 6067/9000 [4:45:19<3:30:19, 4.30s/it] {'lm_loss': '0.8089', 'visual_loss': '2.932', 'seg_loss': '0.7667', 'dino_loss': '0.9351', 'depth_loss': '0.3134', 'vggt_mse_loss': '0.3113', 'vggt_cos_loss': '0.02088', 'pidinet_loss': '0.2121', 'siglip_loss': '0.7051', 'epoch': '0.2183'} + 67%|████████████████████▏ | 6067/9000 [4:45:23<3:30:19, 4.30s/it][Dataset] cur_step=6068 phase=C_full_covt[Dataset] cur_step=6068 phase=C_full_covt + +[Dataset] cur_step=6068 phase=C_full_covt +[Dataset] cur_step=6068 phase=C_full_covt +[Dataset] cur_step=6068 phase=C_full_covt +[Dataset] cur_step=6068 phase=C_full_covt +[Dataset] cur_step=6068 phase=C_full_covt + 67%|████████████████████▏ | 6068/9000 [4:45:24<3:26:50, 4.23s/it][Dataset] cur_step=6068 phase=C_full_covt + {'loss': '3.212', 'grad_norm': '3.627', 'learning_rate': '1.316e-05', 'epoch': '0.2183'} + 67%|████████████████████▏ | 6068/9000 [4:45:24<3:26:50, 4.23s/it] {'lm_loss': '0.2419', 'visual_loss': '2.511', 'seg_loss': '0.6773', 'dino_loss': '0.8863', 'depth_loss': '0.176', 'vggt_mse_loss': '0.175', 'vggt_cos_loss': '0.009626', 'pidinet_loss': '0.2565', 'siglip_loss': '0.5148', 'epoch': '0.2183'} + 67%|████████████████████▏ | 6068/9000 [4:45:27<3:26:50, 4.23s/it][Dataset] cur_step=6069 phase=C_full_covt +[Dataset] cur_step=6069 phase=C_full_covt +[Dataset] cur_step=6069 phase=C_full_covt +[Dataset] cur_step=6069 phase=C_full_covt +[Dataset] cur_step=6069 phase=C_full_covt +[Dataset] cur_step=6069 phase=C_full_covt +[Dataset] cur_step=6069 phase=C_full_covt + 67%|████████████████████▏ | 6069/9000 [4:45:28<3:33:41, 4.37s/it][Dataset] cur_step=6069 phase=C_full_covt + {'loss': '3.03', 'grad_norm': '2.87', 'learning_rate': '1.315e-05', 'epoch': '0.2183'} + 67%|████████████████████▏ | 6069/9000 [4:45:28<3:33:41, 4.37s/it] {'lm_loss': '0.3469', 'visual_loss': '2.533', 'seg_loss': '0.6923', 'dino_loss': '0.9142', 'depth_loss': '0.2003', 'vggt_mse_loss': '0.1988', 'vggt_cos_loss': '0.01478', 'pidinet_loss': '0.2616', 'siglip_loss': '0.4641', 'epoch': '0.2183'} + 67%|████████████████████▏ | 6069/9000 [4:45:31<3:33:41, 4.37s/it][Dataset] cur_step=6070 phase=C_full_covt +[Dataset] cur_step=6070 phase=C_full_covt[Dataset] cur_step=6070 phase=C_full_covt + +[Dataset] cur_step=6070 phase=C_full_covt[Dataset] cur_step=6070 phase=C_full_covt + +[Dataset] cur_step=6070 phase=C_full_covt +[Dataset] cur_step=6070 phase=C_full_covt + 67%|████████████████████▏ | 6070/9000 [4:45:32<3:25:41, 4.21s/it][Dataset] cur_step=6070 phase=C_full_covt + {'loss': '3.135', 'grad_norm': '3.208', 'learning_rate': '1.314e-05', 'epoch': '0.2184'} + 67%|████████████████████▏ | 6070/9000 [4:45:32<3:25:41, 4.21s/it] {'lm_loss': '0.9875', 'visual_loss': '2.75', 'seg_loss': '0.6686', 'dino_loss': '0.9044', 'depth_loss': '0.2653', 'vggt_mse_loss': '0.2639', 'vggt_cos_loss': '0.01434', 'pidinet_loss': '0.2214', 'siglip_loss': '0.6901', 'epoch': '0.2184'} + 67%|████████████████████▏ | 6070/9000 [4:45:35<3:25:41, 4.21s/it][Dataset] cur_step=6071 phase=C_full_covt[Dataset] cur_step=6071 phase=C_full_covt + +[Dataset] cur_step=6071 phase=C_full_covt +[Dataset] cur_step=6071 phase=C_full_covt +[Dataset] cur_step=6071 phase=C_full_covt +[Dataset] cur_step=6071 phase=C_full_covt +[Dataset] cur_step=6071 phase=C_full_covt +[Dataset] cur_step=6071 phase=C_full_covt + 67%|████████████████████▏ | 6071/9000 [4:45:36<3:21:13, 4.12s/it] {'loss': '3.161', 'grad_norm': '2.175', 'learning_rate': '1.313e-05', 'epoch': '0.2184'} + 67%|████████████████████▏ | 6071/9000 [4:45:36<3:21:13, 4.12s/it] {'lm_loss': '0.4913', 'visual_loss': '2.581', 'seg_loss': '0.6565', 'dino_loss': '0.902', 'depth_loss': '0.2708', 'vggt_mse_loss': '0.2689', 'vggt_cos_loss': '0.01953', 'pidinet_loss': '0.2091', 'siglip_loss': '0.5428', 'epoch': '0.2184'} + 67%|████████████████████▏ | 6071/9000 [4:45:40<3:21:13, 4.12s/it][Dataset] cur_step=6072 phase=C_full_covt +[Dataset] cur_step=6072 phase=C_full_covt 67%|████████████████████▏ | 6072/9000 [4:45:40<3:19:47, 4.09s/it] +[Dataset] cur_step=6072 phase=C_full_covt +[Dataset] cur_step=6072 phase=C_full_covt +[Dataset] cur_step=6072 phase=C_full_covt[Dataset] cur_step=6072 phase=C_full_covt + +[Dataset] cur_step=6072 phase=C_full_covt +[Dataset] cur_step=6072 phase=C_full_covt + {'loss': '3.217', 'grad_norm': '1.702', 'learning_rate': '1.313e-05', 'epoch': '0.2184'} + 67%|████████████████████▏ | 6072/9000 [4:45:40<3:19:47, 4.09s/it] {'lm_loss': '0.5418', 'visual_loss': '2.685', 'seg_loss': '0.6808', 'dino_loss': '0.9287', 'depth_loss': '0.1953', 'vggt_mse_loss': '0.1939', 'vggt_cos_loss': '0.01424', 'pidinet_loss': '0.2966', 'siglip_loss': '0.5836', 'epoch': '0.2184'} + 67%|████████████████████▏ | 6072/9000 [4:45:43<3:19:47, 4.09s/it][Dataset] cur_step=6073 phase=C_full_covt +[Dataset] cur_step=6073 phase=C_full_covt +[Dataset] cur_step=6073 phase=C_full_covt +[Dataset] cur_step=6073 phase=C_full_covt + 67%|████████████████████▏ | 6073/9000 [4:45:47<4:00:32, 4.93s/it][Dataset] cur_step=6073 phase=C_full_covt +[Dataset] cur_step=6073 phase=C_full_covt +[Dataset] cur_step=6073 phase=C_full_covt +[Dataset] cur_step=6073 phase=C_full_covt + {'loss': '3.144', 'grad_norm': '2.151', 'learning_rate': '1.312e-05', 'epoch': '0.2185'} + 67%|████████████████████▏ | 6073/9000 [4:45:47<4:00:32, 4.93s/it] {'lm_loss': '0.4403', 'visual_loss': '2.577', 'seg_loss': '0.6395', 'dino_loss': '0.921', 'depth_loss': '0.2418', 'vggt_mse_loss': '0.2402', 'vggt_cos_loss': '0.0162', 'pidinet_loss': '0.2685', 'siglip_loss': '0.5062', 'epoch': '0.2185'} + 67%|████████████████████▏ | 6073/9000 [4:45:50<4:00:32, 4.93s/it][Dataset] cur_step=6074 phase=C_full_covt +[Dataset] cur_step=6074 phase=C_full_covt +[Dataset] cur_step=6074 phase=C_full_covt[Dataset] cur_step=6074 phase=C_full_covt + +[Dataset] cur_step=6074 phase=C_full_covt +[Dataset] cur_step=6074 phase=C_full_covt[Dataset] cur_step=6074 phase=C_full_covt + +[Dataset] cur_step=6074 phase=C_full_covt + 67%|████████████████████▏ | 6074/9000 [4:45:51<3:45:03, 4.61s/it] {'loss': '3.261', 'grad_norm': '2.796', 'learning_rate': '1.311e-05', 'epoch': '0.2185'} + 67%|████████████████████▏ | 6074/9000 [4:45:51<3:45:03, 4.61s/it] {'lm_loss': '0.4914', 'visual_loss': '2.86', 'seg_loss': '0.7615', 'dino_loss': '0.9293', 'depth_loss': '0.2699', 'vggt_mse_loss': '0.268', 'vggt_cos_loss': '0.01961', 'pidinet_loss': '0.2714', 'siglip_loss': '0.6275', 'epoch': '0.2185'} + 67%|████████████████████▏ | 6074/9000 [4:45:54<3:45:03, 4.61s/it][Dataset] cur_step=6075 phase=C_full_covt +[Dataset] cur_step=6075 phase=C_full_covt +[Dataset] cur_step=6075 phase=C_full_covt[Dataset] cur_step=6075 phase=C_full_covt[Dataset] cur_step=6075 phase=C_full_covt + +[Dataset] cur_step=6075 phase=C_full_covt + +[Dataset] cur_step=6075 phase=C_full_covt + 68%|████████████████████▎ | 6075/9000 [4:45:55<3:34:54, 4.41s/it][Dataset] cur_step=6075 phase=C_full_covt + {'loss': '3.128', 'grad_norm': '2.541', 'learning_rate': '1.31e-05', 'epoch': '0.2185'} + 68%|████████████████████▎ | 6075/9000 [4:45:55<3:34:54, 4.41s/it] {'lm_loss': '0.291', 'visual_loss': '2.882', 'seg_loss': '0.7802', 'dino_loss': '0.9216', 'depth_loss': '0.392', 'vggt_mse_loss': '0.3888', 'vggt_cos_loss': '0.03146', 'pidinet_loss': '0.2164', 'siglip_loss': '0.572', 'epoch': '0.2185'} + 68%|████████████████████▎ | 6075/9000 [4:45:58<3:34:54, 4.41s/it][Dataset] cur_step=6076 phase=C_full_covt +[Dataset] cur_step=6076 phase=C_full_covt[Dataset] cur_step=6076 phase=C_full_covt[Dataset] cur_step=6076 phase=C_full_covt + + +[Dataset] cur_step=6076 phase=C_full_covt +[Dataset] cur_step=6076 phase=C_full_covt[Dataset] cur_step=6076 phase=C_full_covt + +[Dataset] cur_step=6076 phase=C_full_covt + 68%|████████████████████▎ | 6076/9000 [4:46:01<4:02:05, 4.97s/it] {'loss': '3.072', 'grad_norm': '2.133', 'learning_rate': '1.309e-05', 'epoch': '0.2186'} + 68%|████████████████████▎ | 6076/9000 [4:46:01<4:02:05, 4.97s/it] {'lm_loss': '0.5216', 'visual_loss': '2.432', 'seg_loss': '0.648', 'dino_loss': '0.9028', 'depth_loss': '0.2014', 'vggt_mse_loss': '0.2003', 'vggt_cos_loss': '0.01122', 'pidinet_loss': '0.2094', 'siglip_loss': '0.4705', 'epoch': '0.2186'} + 68%|████████████████████▎ | 6076/9000 [4:46:04<4:02:05, 4.97s/it][Dataset] cur_step=6077 phase=C_full_covt +[Dataset] cur_step=6077 phase=C_full_covt +[Dataset] cur_step=6077 phase=C_full_covt +[Dataset] cur_step=6077 phase=C_full_covt +[Dataset] cur_step=6077 phase=C_full_covt +[Dataset] cur_step=6077 phase=C_full_covt + 68%|████████████████████▎ | 6077/9000 [4:46:05<3:45:56, 4.64s/it][Dataset] cur_step=6077 phase=C_full_covt +[Dataset] cur_step=6077 phase=C_full_covt + {'loss': '3.078', 'grad_norm': '2.925', 'learning_rate': '1.309e-05', 'epoch': '0.2186'} + 68%|████████████████████▎ | 6077/9000 [4:46:05<3:45:56, 4.64s/it] {'lm_loss': '0.1312', 'visual_loss': '2.45', 'seg_loss': '0.6906', 'dino_loss': '0.903', 'depth_loss': '0.218', 'vggt_mse_loss': '0.2165', 'vggt_cos_loss': '0.01552', 'pidinet_loss': '0.1598', 'siglip_loss': '0.4782', 'epoch': '0.2186'} + 68%|████████████████████▎ | 6077/9000 [4:46:09<3:45:56, 4.64s/it][Dataset] cur_step=6078 phase=C_full_covt + 68%|████████████████████▎ | 6078/9000 [4:46:09<3:37:47, 4.47s/it][Dataset] cur_step=6078 phase=C_full_covt[Dataset] cur_step=6078 phase=C_full_covt + +[Dataset] cur_step=6078 phase=C_full_covt[Dataset] cur_step=6078 phase=C_full_covt + +[Dataset] cur_step=6078 phase=C_full_covt +[Dataset] cur_step=6078 phase=C_full_covt[Dataset] cur_step=6078 phase=C_full_covt + + {'loss': '3.051', 'grad_norm': '1.739', 'learning_rate': '1.308e-05', 'epoch': '0.2187'} + 68%|████████████████████▎ | 6078/9000 [4:46:09<3:37:47, 4.47s/it] {'lm_loss': '0.9824', 'visual_loss': '2.779', 'seg_loss': '0.7215', 'dino_loss': '0.9354', 'depth_loss': '0.3879', 'vggt_mse_loss': '0.3849', 'vggt_cos_loss': '0.03036', 'pidinet_loss': '0.2179', 'siglip_loss': '0.5163', 'epoch': '0.2187'} + 68%|████████████████████▎ | 6078/9000 [4:46:12<3:37:47, 4.47s/it][Dataset] cur_step=6079 phase=C_full_covt +[Dataset] cur_step=6079 phase=C_full_covt +[Dataset] cur_step=6079 phase=C_full_covt +[Dataset] cur_step=6079 phase=C_full_covt +[Dataset] cur_step=6079 phase=C_full_covt + 68%|████████████████████▎ | 6079/9000 [4:46:13<3:30:24, 4.32s/it][Dataset] cur_step=6079 phase=C_full_covt +[Dataset] cur_step=6079 phase=C_full_covt +[Dataset] cur_step=6079 phase=C_full_covt + {'loss': '3.067', 'grad_norm': '6.983', 'learning_rate': '1.307e-05', 'epoch': '0.2187'} + 68%|████████████████████▎ | 6079/9000 [4:46:13<3:30:24, 4.32s/it] {'lm_loss': '0.3844', 'visual_loss': '2.852', 'seg_loss': '0.9087', 'dino_loss': '0.9295', 'depth_loss': '0.255', 'vggt_mse_loss': '0.253', 'vggt_cos_loss': '0.02019', 'pidinet_loss': '0.2453', 'siglip_loss': '0.5135', 'epoch': '0.2187'} + 68%|████████████████████▎ | 6079/9000 [4:46:16<3:30:24, 4.32s/it][Dataset] cur_step=6080 phase=C_full_covt +[Dataset] cur_step=6080 phase=C_full_covt +[Dataset] cur_step=6080 phase=C_full_covt +[Dataset] cur_step=6080 phase=C_full_covt +[Dataset] cur_step=6080 phase=C_full_covt +[Dataset] cur_step=6080 phase=C_full_covt +[Dataset] cur_step=6080 phase=C_full_covt +[Dataset] cur_step=6080 phase=C_full_covt + 68%|████████████████████▎ | 6080/9000 [4:46:17<3:29:27, 4.30s/it] {'loss': '3.268', 'grad_norm': '1.745', 'learning_rate': '1.306e-05', 'epoch': '0.2187'} + 68%|████████████████████▎ | 6080/9000 [4:46:17<3:29:27, 4.30s/it] {'lm_loss': '0.4794', 'visual_loss': '2.554', 'seg_loss': '0.6433', 'dino_loss': '0.8922', 'depth_loss': '0.2381', 'vggt_mse_loss': '0.2363', 'vggt_cos_loss': '0.01792', 'pidinet_loss': '0.2065', 'siglip_loss': '0.5736', 'epoch': '0.2187'} + 68%|████████████████████▎ | 6080/9000 [4:46:21<3:29:27, 4.30s/it][Dataset] cur_step=6081 phase=C_full_covt + 68%|████████████████████▎ | 6081/9000 [4:46:21<3:26:15, 4.24s/it][Dataset] cur_step=6081 phase=C_full_covt +[Dataset] cur_step=6081 phase=C_full_covt +[Dataset] cur_step=6081 phase=C_full_covt +[Dataset] cur_step=6081 phase=C_full_covt +[Dataset] cur_step=6081 phase=C_full_covt +[Dataset] cur_step=6081 phase=C_full_covt +[Dataset] cur_step=6081 phase=C_full_covt + {'loss': '3.111', 'grad_norm': '2.108', 'learning_rate': '1.305e-05', 'epoch': '0.2188'} + 68%|████████████████████▎ | 6081/9000 [4:46:21<3:26:15, 4.24s/it] {'lm_loss': '0.6974', 'visual_loss': '2.563', 'seg_loss': '0.7083', 'dino_loss': '0.9241', 'depth_loss': '0.2883', 'vggt_mse_loss': '0.2861', 'vggt_cos_loss': '0.02194', 'pidinet_loss': '0.1962', 'siglip_loss': '0.4462', 'epoch': '0.2188'} + 68%|████████████████████▎ | 6081/9000 [4:46:24<3:26:15, 4.24s/it][Dataset] cur_step=6082 phase=C_full_covt +[Dataset] cur_step=6082 phase=C_full_covt +[Dataset] cur_step=6082 phase=C_full_covt +[Dataset] cur_step=6082 phase=C_full_covt[Dataset] cur_step=6082 phase=C_full_covt[Dataset] cur_step=6082 phase=C_full_covt + +[Dataset] cur_step=6082 phase=C_full_covt + + 68%|████████████████████▎ | 6082/9000 [4:46:27<3:53:05, 4.79s/it][Dataset] cur_step=6082 phase=C_full_covt + {'loss': '3.094', 'grad_norm': '22.14', 'learning_rate': '1.304e-05', 'epoch': '0.2188'} + 68%|████████████████████▎ | 6082/9000 [4:46:27<3:53:05, 4.79s/it] {'lm_loss': '0.4551', 'visual_loss': '2.799', 'seg_loss': '0.6958', 'dino_loss': '0.9046', 'depth_loss': '0.3491', 'vggt_mse_loss': '0.3461', 'vggt_cos_loss': '0.02963', 'pidinet_loss': '0.3038', 'siglip_loss': '0.5453', 'epoch': '0.2188'} + 68%|████████████████████▎ | 6082/9000 [4:46:30<3:53:05, 4.79s/it][Dataset] cur_step=6083 phase=C_full_covt[Dataset] cur_step=6083 phase=C_full_covt + +[Dataset] cur_step=6083 phase=C_full_covt[Dataset] cur_step=6083 phase=C_full_covt + +[Dataset] cur_step=6083 phase=C_full_covt +[Dataset] cur_step=6083 phase=C_full_covt + 68%|████████████████████▎ | 6083/9000 [4:46:31<3:37:19, 4.47s/it][Dataset] cur_step=6083 phase=C_full_covt +[Dataset] cur_step=6083 phase=C_full_covt + {'loss': '3.176', 'grad_norm': '2.76', 'learning_rate': '1.304e-05', 'epoch': '0.2188'} + 68%|████████████████████▎ | 6083/9000 [4:46:31<3:37:19, 4.47s/it] {'lm_loss': '0.8721', 'visual_loss': '2.796', 'seg_loss': '0.739', 'dino_loss': '0.9027', 'depth_loss': '0.2984', 'vggt_mse_loss': '0.2961', 'vggt_cos_loss': '0.02341', 'pidinet_loss': '0.2833', 'siglip_loss': '0.5727', 'epoch': '0.2188'} + 68%|████████████████████▎ | 6083/9000 [4:46:34<3:37:19, 4.47s/it][Dataset] cur_step=6084 phase=C_full_covt +[Dataset] cur_step=6084 phase=C_full_covt +[Dataset] cur_step=6084 phase=C_full_covt +[Dataset] cur_step=6084 phase=C_full_covt[Dataset] cur_step=6084 phase=C_full_covt +[Dataset] cur_step=6084 phase=C_full_covt + +[Dataset] cur_step=6084 phase=C_full_covt + 68%|████████████████████▎ | 6084/9000 [4:46:38<4:08:39, 5.12s/it][Dataset] cur_step=6084 phase=C_full_covt + {'loss': '2.928', 'grad_norm': '3.126', 'learning_rate': '1.303e-05', 'epoch': '0.2189'} + 68%|████████████████████▎ | 6084/9000 [4:46:38<4:08:39, 5.12s/it] {'lm_loss': '0.3472', 'visual_loss': '2.603', 'seg_loss': '0.7063', 'dino_loss': '0.9227', 'depth_loss': '0.3506', 'vggt_mse_loss': '0.3477', 'vggt_cos_loss': '0.02886', 'pidinet_loss': '0.2087', 'siglip_loss': '0.4148', 'epoch': '0.2189'} + 68%|████████████████████▎ | 6084/9000 [4:46:41<4:08:39, 5.12s/it][Dataset] cur_step=6085 phase=C_full_covt +[Dataset] cur_step=6085 phase=C_full_covt +[Dataset] cur_step=6085 phase=C_full_covt +[Dataset] cur_step=6085 phase=C_full_covt +[Dataset] cur_step=6085 phase=C_full_covt +[Dataset] cur_step=6085 phase=C_full_covt +[Dataset] cur_step=6085 phase=C_full_covt +[Dataset] cur_step=6085 phase=C_full_covt + 68%|████████████████████▎ | 6085/9000 [4:46:42<3:54:03, 4.82s/it] {'loss': '3.116', 'grad_norm': '13.79', 'learning_rate': '1.302e-05', 'epoch': '0.2189'} + 68%|████████████████████▎ | 6085/9000 [4:46:42<3:54:03, 4.82s/it] {'lm_loss': '0.01062', 'visual_loss': '2.725', 'seg_loss': '0.7963', 'dino_loss': '0.9546', 'depth_loss': '0.2267', 'vggt_mse_loss': '0.2254', 'vggt_cos_loss': '0.01273', 'pidinet_loss': '0.2566', 'siglip_loss': '0.4908', 'epoch': '0.2189'} + 68%|████████████████████▎ | 6085/9000 [4:46:45<3:54:03, 4.82s/it][Dataset] cur_step=6086 phase=C_full_covt +[Dataset] cur_step=6086 phase=C_full_covt[Dataset] cur_step=6086 phase=C_full_covt + +[Dataset] cur_step=6086 phase=C_full_covt +[Dataset] cur_step=6086 phase=C_full_covt +[Dataset] cur_step=6086 phase=C_full_covt[Dataset] cur_step=6086 phase=C_full_covt + + 68%|████████████████████▎ | 6086/9000 [4:46:46<3:43:54, 4.61s/it][Dataset] cur_step=6086 phase=C_full_covt + {'loss': '3.193', 'grad_norm': '5.605', 'learning_rate': '1.301e-05', 'epoch': '0.2189'} + 68%|████████████████████▎ | 6086/9000 [4:46:46<3:43:54, 4.61s/it] {'lm_loss': '0.3155', 'visual_loss': '2.695', 'seg_loss': '0.6982', 'dino_loss': '0.9071', 'depth_loss': '0.1888', 'vggt_mse_loss': '0.1873', 'vggt_cos_loss': '0.01448', 'pidinet_loss': '0.1879', 'siglip_loss': '0.7126', 'epoch': '0.2189'} + 68%|████████████████████▎ | 6086/9000 [4:46:49<3:43:54, 4.61s/it][Dataset] cur_step=6087 phase=C_full_covt[Dataset] cur_step=6087 phase=C_full_covt + +[Dataset] cur_step=6087 phase=C_full_covt +[Dataset] cur_step=6087 phase=C_full_covt +[Dataset] cur_step=6087 phase=C_full_covt[Dataset] cur_step=6087 phase=C_full_covt + + 68%|████████████████████▎ | 6087/9000 [4:46:50<3:36:20, 4.46s/it][Dataset] cur_step=6087 phase=C_full_covt +[Dataset] cur_step=6087 phase=C_full_covt + {'loss': '3.168', 'grad_norm': '1.971', 'learning_rate': '1.3e-05', 'epoch': '0.219'} + 68%|████████████████████▎ | 6087/9000 [4:46:50<3:36:20, 4.46s/it] {'lm_loss': '0.4531', 'visual_loss': '2.74', 'seg_loss': '0.6759', 'dino_loss': '0.9199', 'depth_loss': '0.2982', 'vggt_mse_loss': '0.2964', 'vggt_cos_loss': '0.01844', 'pidinet_loss': '0.2197', 'siglip_loss': '0.6267', 'epoch': '0.219'} + 68%|████████████████████▎ | 6087/9000 [4:46:54<3:36:20, 4.46s/it][Dataset] cur_step=6088 phase=C_full_covt + 68%|████████████████████▎ | 6088/9000 [4:46:55<3:38:50, 4.51s/it][Dataset] cur_step=6088 phase=C_full_covt +[Dataset] cur_step=6088 phase=C_full_covt +[Dataset] cur_step=6088 phase=C_full_covt +[Dataset] cur_step=6088 phase=C_full_covt +[Dataset] cur_step=6088 phase=C_full_covt +[Dataset] cur_step=6088 phase=C_full_covt +[Dataset] cur_step=6088 phase=C_full_covt + {'loss': '3.296', 'grad_norm': '4.328', 'learning_rate': '1.3e-05', 'epoch': '0.219'} + 68%|████████████████████▎ | 6088/9000 [4:46:55<3:38:50, 4.51s/it] {'lm_loss': '0.4792', 'visual_loss': '2.759', 'seg_loss': '0.75', 'dino_loss': '0.9256', 'depth_loss': '0.3042', 'vggt_mse_loss': '0.3019', 'vggt_cos_loss': '0.02306', 'pidinet_loss': '0.2503', 'siglip_loss': '0.5293', 'epoch': '0.219'} + 68%|████████████████████▎ | 6088/9000 [4:46:58<3:38:50, 4.51s/it][Dataset] cur_step=6089 phase=C_full_covt +[Dataset] cur_step=6089 phase=C_full_covt +[Dataset] cur_step=6089 phase=C_full_covt +[Dataset] cur_step=6089 phase=C_full_covt[Dataset] cur_step=6089 phase=C_full_covt + +[Dataset] cur_step=6089 phase=C_full_covt +[Dataset] cur_step=6089 phase=C_full_covt +[Dataset] cur_step=6089 phase=C_full_covt + 68%|████████████████████▎ | 6089/9000 [4:46:59<3:31:21, 4.36s/it] {'loss': '3.203', 'grad_norm': '1.617', 'learning_rate': '1.299e-05', 'epoch': '0.2191'} + 68%|████████████████████▎ | 6089/9000 [4:46:59<3:31:21, 4.36s/it] {'lm_loss': '0.7438', 'visual_loss': '2.572', 'seg_loss': '0.6775', 'dino_loss': '0.9148', 'depth_loss': '0.2585', 'vggt_mse_loss': '0.2569', 'vggt_cos_loss': '0.01645', 'pidinet_loss': '0.2514', 'siglip_loss': '0.4693', 'epoch': '0.2191'} + 68%|████████████████████▎ | 6089/9000 [4:47:02<3:31:21, 4.36s/it][Dataset] cur_step=6090 phase=C_full_covt +[Dataset] cur_step=6090 phase=C_full_covt[Dataset] cur_step=6090 phase=C_full_covt + +[Dataset] cur_step=6090 phase=C_full_covt +[Dataset] cur_step=6090 phase=C_full_covt +[Dataset] cur_step=6090 phase=C_full_covt 68%|████████████████████▎ | 6090/9000 [4:47:02<3:22:07, 4.17s/it] +[Dataset] cur_step=6090 phase=C_full_covt[Dataset] cur_step=6090 phase=C_full_covt + + {'loss': '3.24', 'grad_norm': '2.308', 'learning_rate': '1.298e-05', 'epoch': '0.2191'} + 68%|████████████████████▎ | 6090/9000 [4:47:02<3:22:07, 4.17s/it] {'lm_loss': '0.5136', 'visual_loss': '2.594', 'seg_loss': '0.7645', 'dino_loss': '0.9018', 'depth_loss': '0.3314', 'vggt_mse_loss': '0.3295', 'vggt_cos_loss': '0.01885', 'pidinet_loss': '0.1881', 'siglip_loss': '0.4078', 'epoch': '0.2191'} + 68%|████████████████████▎ | 6090/9000 [4:47:06<3:22:07, 4.17s/it][Dataset] cur_step=6091 phase=C_full_covt +[Dataset] cur_step=6091 phase=C_full_covt +[Dataset] cur_step=6091 phase=C_full_covt +[Dataset] cur_step=6091 phase=C_full_covt[Dataset] cur_step=6091 phase=C_full_covt + + 68%|████████████████████▎ | 6091/9000 [4:47:07<3:22:10, 4.17s/it][Dataset] cur_step=6091 phase=C_full_covt +[Dataset] cur_step=6091 phase=C_full_covt +[Dataset] cur_step=6091 phase=C_full_covt + {'loss': '2.951', 'grad_norm': '1.877', 'learning_rate': '1.297e-05', 'epoch': '0.2191'} + 68%|████████████████████▎ | 6091/9000 [4:47:07<3:22:10, 4.17s/it] {'lm_loss': '0.001936', 'visual_loss': '2.527', 'seg_loss': '0.6943', 'dino_loss': '0.914', 'depth_loss': '0.1906', 'vggt_mse_loss': '0.1891', 'vggt_cos_loss': '0.01547', 'pidinet_loss': '0.222', 'siglip_loss': '0.5058', 'epoch': '0.2191'} + 68%|████████████████████▎ | 6091/9000 [4:47:11<3:22:10, 4.17s/it][Dataset] cur_step=6092 phase=C_full_covt + 68%|████████████████████▎ | 6092/9000 [4:47:11<3:27:33, 4.28s/it][Dataset] cur_step=6092 phase=C_full_covt +[Dataset] cur_step=6092 phase=C_full_covt +[Dataset] cur_step=6092 phase=C_full_covt +[Dataset] cur_step=6092 phase=C_full_covt[Dataset] cur_step=6092 phase=C_full_covt + +[Dataset] cur_step=6092 phase=C_full_covt +[Dataset] cur_step=6092 phase=C_full_covt + {'loss': '3.1', 'grad_norm': '2.065', 'learning_rate': '1.296e-05', 'epoch': '0.2192'} + 68%|████████████████████▎ | 6092/9000 [4:47:11<3:27:33, 4.28s/it] {'lm_loss': '0.1008', 'visual_loss': '2.602', 'seg_loss': '0.7908', 'dino_loss': '0.8961', 'depth_loss': '0.2687', 'vggt_mse_loss': '0.2668', 'vggt_cos_loss': '0.01879', 'pidinet_loss': '0.2045', 'siglip_loss': '0.4416', 'epoch': '0.2192'} + 68%|████████████████████▎ | 6092/9000 [4:47:14<3:27:33, 4.28s/it][Dataset] cur_step=6093 phase=C_full_covt +[Dataset] cur_step=6093 phase=C_full_covt +[Dataset] cur_step=6093 phase=C_full_covt +[Dataset] cur_step=6093 phase=C_full_covt +[Dataset] cur_step=6093 phase=C_full_covt +[Dataset] cur_step=6093 phase=C_full_covt +[Dataset] cur_step=6093 phase=C_full_covt +[Dataset] cur_step=6093 phase=C_full_covt + 68%|████████████████████▎ | 6093/9000 [4:47:15<3:27:40, 4.29s/it] {'loss': '2.96', 'grad_norm': '1.991', 'learning_rate': '1.296e-05', 'epoch': '0.2192'} + 68%|████████████████████▎ | 6093/9000 [4:47:15<3:27:40, 4.29s/it] {'lm_loss': '0.5331', 'visual_loss': '2.638', 'seg_loss': '0.7585', 'dino_loss': '0.8869', 'depth_loss': '0.2178', 'vggt_mse_loss': '0.2165', 'vggt_cos_loss': '0.01354', 'pidinet_loss': '0.2645', 'siglip_loss': '0.5105', 'epoch': '0.2192'} + 68%|████████████████████▎ | 6093/9000 [4:47:19<3:27:40, 4.29s/it][Dataset] cur_step=6094 phase=C_full_covt +[Dataset] cur_step=6094 phase=C_full_covt +[Dataset] cur_step=6094 phase=C_full_covt +[Dataset] cur_step=6094 phase=C_full_covt +[Dataset] cur_step=6094 phase=C_full_covt + 68%|████████████████████▎ | 6094/9000 [4:47:22<4:04:40, 5.05s/it][Dataset] cur_step=6094 phase=C_full_covt +[Dataset] cur_step=6094 phase=C_full_covt +[Dataset] cur_step=6094 phase=C_full_covt + {'loss': '2.977', 'grad_norm': '2.854', 'learning_rate': '1.295e-05', 'epoch': '0.2192'} + 68%|████████████████████▎ | 6094/9000 [4:47:22<4:04:40, 5.05s/it] {'lm_loss': '0.372', 'visual_loss': '2.517', 'seg_loss': '0.7213', 'dino_loss': '0.9073', 'depth_loss': '0.2913', 'vggt_mse_loss': '0.2891', 'vggt_cos_loss': '0.02162', 'pidinet_loss': '0.2126', 'siglip_loss': '0.3841', 'epoch': '0.2192'} + 68%|████████████████████▎ | 6094/9000 [4:47:26<4:04:40, 5.05s/it][Dataset] cur_step=6095 phase=C_full_covt +[Dataset] cur_step=6095 phase=C_full_covt +[Dataset] cur_step=6095 phase=C_full_covt + 68%|████████████████████▎ | 6095/9000 [4:47:26<3:49:44, 4.74s/it][Dataset] cur_step=6095 phase=C_full_covt +[Dataset] cur_step=6095 phase=C_full_covt[Dataset] cur_step=6095 phase=C_full_covt + +[Dataset] cur_step=6095 phase=C_full_covt +[Dataset] cur_step=6095 phase=C_full_covt + {'loss': '3.331', 'grad_norm': '4.013', 'learning_rate': '1.294e-05', 'epoch': '0.2193'} + 68%|████████████████████▎ | 6095/9000 [4:47:26<3:49:44, 4.74s/it] {'lm_loss': '0.5663', 'visual_loss': '2.684', 'seg_loss': '0.7476', 'dino_loss': '0.9463', 'depth_loss': '0.2714', 'vggt_mse_loss': '0.2696', 'vggt_cos_loss': '0.01812', 'pidinet_loss': '0.253', 'siglip_loss': '0.4658', 'epoch': '0.2193'} + 68%|████████████████████▎ | 6095/9000 [4:47:30<3:49:44, 4.74s/it][Dataset] cur_step=6096 phase=C_full_covt +[Dataset] cur_step=6096 phase=C_full_covt +[Dataset] cur_step=6096 phase=C_full_covt[Dataset] cur_step=6096 phase=C_full_covt +[Dataset] cur_step=6096 phase=C_full_covt + + 68%|████████████████████▎ | 6096/9000 [4:47:31<3:51:18, 4.78s/it][Dataset] cur_step=6096 phase=C_full_covt +[Dataset] cur_step=6096 phase=C_full_covt +[Dataset] cur_step=6096 phase=C_full_covt + {'loss': '3.192', 'grad_norm': '2.152', 'learning_rate': '1.293e-05', 'epoch': '0.2193'} + 68%|████████████████████▎ | 6096/9000 [4:47:31<3:51:18, 4.78s/it] {'lm_loss': '0.488', 'visual_loss': '3.207', 'seg_loss': '0.8444', 'dino_loss': '0.8864', 'depth_loss': '0.3092', 'vggt_mse_loss': '0.3076', 'vggt_cos_loss': '0.01641', 'pidinet_loss': '0.2866', 'siglip_loss': '0.8801', 'epoch': '0.2193'} + 68%|████████████████████▎ | 6096/9000 [4:47:34<3:51:18, 4.78s/it][Dataset] cur_step=6097 phase=C_full_covt +[Dataset] cur_step=6097 phase=C_full_covt +[Dataset] cur_step=6097 phase=C_full_covt +[Dataset] cur_step=6097 phase=C_full_covt +[Dataset] cur_step=6097 phase=C_full_covt[Dataset] cur_step=6097 phase=C_full_covt +[Dataset] cur_step=6097 phase=C_full_covt + + 68%|████████████████████▎ | 6097/9000 [4:47:35<3:37:11, 4.49s/it][Dataset] cur_step=6097 phase=C_full_covt + {'loss': '3.26', 'grad_norm': '3.135', 'learning_rate': '1.292e-05', 'epoch': '0.2193'} + 68%|████████████████████▎ | 6097/9000 [4:47:35<3:37:11, 4.49s/it] {'lm_loss': '0.1915', 'visual_loss': '2.605', 'seg_loss': '0.7115', 'dino_loss': '0.912', 'depth_loss': '0.3199', 'vggt_mse_loss': '0.3186', 'vggt_cos_loss': '0.01363', 'pidinet_loss': '0.1666', 'siglip_loss': '0.4953', 'epoch': '0.2193'} + 68%|████████████████████▎ | 6097/9000 [4:47:38<3:37:11, 4.49s/it][Dataset] cur_step=6098 phase=C_full_covt +[Dataset] cur_step=6098 phase=C_full_covt +[Dataset] cur_step=6098 phase=C_full_covt[Dataset] cur_step=6098 phase=C_full_covt[Dataset] cur_step=6098 phase=C_full_covt + + +[Dataset] cur_step=6098 phase=C_full_covt 68%|████████████████████▎ | 6098/9000 [4:47:39<3:27:24, 4.29s/it] +[Dataset] cur_step=6098 phase=C_full_covt +[Dataset] cur_step=6098 phase=C_full_covt + {'loss': '3.055', 'grad_norm': '1.85', 'learning_rate': '1.292e-05', 'epoch': '0.2194'} + 68%|████████████████████▎ | 6098/9000 [4:47:39<3:27:24, 4.29s/it] {'lm_loss': '0.6089', 'visual_loss': '2.962', 'seg_loss': '0.8655', 'dino_loss': '0.9452', 'depth_loss': '0.2331', 'vggt_mse_loss': '0.2314', 'vggt_cos_loss': '0.01697', 'pidinet_loss': '0.2038', 'siglip_loss': '0.7146', 'epoch': '0.2194'} + 68%|████████████████████▎ | 6098/9000 [4:47:42<3:27:24, 4.29s/it][Dataset] cur_step=6099 phase=C_full_covt[Dataset] cur_step=6099 phase=C_full_covt + +[Dataset] cur_step=6099 phase=C_full_covt +[Dataset] cur_step=6099 phase=C_full_covt +[Dataset] cur_step=6099 phase=C_full_covt[Dataset] cur_step=6099 phase=C_full_covt + +[Dataset] cur_step=6099 phase=C_full_covt 68%|████████████████████▎ | 6099/9000 [4:47:43<3:21:25, 4.17s/it] +[Dataset] cur_step=6099 phase=C_full_covt + {'loss': '3.213', 'grad_norm': '11.3', 'learning_rate': '1.291e-05', 'epoch': '0.2194'} + 68%|████████████████████▎ | 6099/9000 [4:47:43<3:21:25, 4.17s/it] {'lm_loss': '0.4404', 'visual_loss': '2.63', 'seg_loss': '0.5791', 'dino_loss': '0.9242', 'depth_loss': '0.2726', 'vggt_mse_loss': '0.2706', 'vggt_cos_loss': '0.01981', 'pidinet_loss': '0.2256', 'siglip_loss': '0.6282', 'epoch': '0.2194'} + 68%|████████████████████▎ | 6099/9000 [4:47:46<3:21:25, 4.17s/it][Dataset] cur_step=6100 phase=C_full_covt +[Dataset] cur_step=6100 phase=C_full_covt[Dataset] cur_step=6100 phase=C_full_covt + +[Dataset] cur_step=6100 phase=C_full_covt +[Dataset] cur_step=6100 phase=C_full_covt +[Dataset] cur_step=6100 phase=C_full_covt 68%|████████████████████▎ | 6100/9000 [4:47:47<3:20:54, 4.16s/it] +[Dataset] cur_step=6100 phase=C_full_covt +[Dataset] cur_step=6100 phase=C_full_covt + {'loss': '3.03', 'grad_norm': '2.66', 'learning_rate': '1.29e-05', 'epoch': '0.2194'} + 68%|████████████████████▎ | 6100/9000 [4:47:47<3:20:54, 4.16s/it] {'lm_loss': '0.8726', 'visual_loss': '2.808', 'seg_loss': '0.7324', 'dino_loss': '0.9284', 'depth_loss': '0.2348', 'vggt_mse_loss': '0.2333', 'vggt_cos_loss': '0.01509', 'pidinet_loss': '0.2346', 'siglip_loss': '0.6781', 'epoch': '0.2194'} + 68%|████████████████████▎ | 6100/9000 [4:47:50<3:20:54, 4.16s/it][Dataset] cur_step=6101 phase=C_full_covt +[Dataset] cur_step=6101 phase=C_full_covt +[Dataset] cur_step=6101 phase=C_full_covt +[Dataset] cur_step=6101 phase=C_full_covt +[Dataset] cur_step=6101 phase=C_full_covt +[Dataset] cur_step=6101 phase=C_full_covt[Dataset] cur_step=6101 phase=C_full_covt + +[Dataset] cur_step=6101 phase=C_full_covt 68%|████████████████████▎ | 6101/9000 [4:47:51<3:17:23, 4.09s/it] + {'loss': '3.218', 'grad_norm': '1.409', 'learning_rate': '1.289e-05', 'epoch': '0.2195'} + 68%|████████████████████▎ | 6101/9000 [4:47:51<3:17:23, 4.09s/it] {'lm_loss': '0.7976', 'visual_loss': '2.614', 'seg_loss': '0.6659', 'dino_loss': '0.9292', 'depth_loss': '0.3106', 'vggt_mse_loss': '0.308', 'vggt_cos_loss': '0.02655', 'pidinet_loss': '0.2404', 'siglip_loss': '0.4675', 'epoch': '0.2195'} + 68%|████████████████████▎ | 6101/9000 [4:47:54<3:17:23, 4.09s/it][Dataset] cur_step=6102 phase=C_full_covt +[Dataset] cur_step=6102 phase=C_full_covt +[Dataset] cur_step=6102 phase=C_full_covt +[Dataset] cur_step=6102 phase=C_full_covt + 68%|████████████████████▎ | 6102/9000 [4:47:55<3:15:17, 4.04s/it][Dataset] cur_step=6102 phase=C_full_covt +[Dataset] cur_step=6102 phase=C_full_covt +[Dataset] cur_step=6102 phase=C_full_covt +[Dataset] cur_step=6102 phase=C_full_covt + {'loss': '3.072', 'grad_norm': '2.754', 'learning_rate': '1.288e-05', 'epoch': '0.2195'} + 68%|████████████████████▎ | 6102/9000 [4:47:55<3:15:17, 4.04s/it] {'lm_loss': '0.5384', 'visual_loss': '2.728', 'seg_loss': '0.8261', 'dino_loss': '0.9076', 'depth_loss': '0.2474', 'vggt_mse_loss': '0.2457', 'vggt_cos_loss': '0.01754', 'pidinet_loss': '0.243', 'siglip_loss': '0.5039', 'epoch': '0.2195'} + 68%|████████████████████▎ | 6102/9000 [4:47:58<3:15:17, 4.04s/it][Dataset] cur_step=6103 phase=C_full_covt +[Dataset] cur_step=6103 phase=C_full_covt +[Dataset] cur_step=6103 phase=C_full_covt +[Dataset] cur_step=6103 phase=C_full_covt +[Dataset] cur_step=6103 phase=C_full_covt[Dataset] cur_step=6103 phase=C_full_covt + +[Dataset] cur_step=6103 phase=C_full_covt[Dataset] cur_step=6103 phase=C_full_covt + + 68%|████████████████████▎ | 6103/9000 [4:47:59<3:14:23, 4.03s/it] {'loss': '3.225', 'grad_norm': '14.06', 'learning_rate': '1.288e-05', 'epoch': '0.2196'} + 68%|████████████████████▎ | 6103/9000 [4:47:59<3:14:23, 4.03s/it] {'lm_loss': '0.6291', 'visual_loss': '2.742', 'seg_loss': '0.6716', 'dino_loss': '0.933', 'depth_loss': '0.2771', 'vggt_mse_loss': '0.2748', 'vggt_cos_loss': '0.02273', 'pidinet_loss': '0.2463', 'siglip_loss': '0.6141', 'epoch': '0.2196'} + 68%|████████████████████▎ | 6103/9000 [4:48:02<3:14:23, 4.03s/it][Dataset] cur_step=6104 phase=C_full_covt +[Dataset] cur_step=6104 phase=C_full_covt +[Dataset] cur_step=6104 phase=C_full_covt[Dataset] cur_step=6104 phase=C_full_covt + +[Dataset] cur_step=6104 phase=C_full_covt + 68%|████████████████████▎ | 6104/9000 [4:48:03<3:17:57, 4.10s/it][Dataset] cur_step=6104 phase=C_full_covt +[Dataset] cur_step=6104 phase=C_full_covt +[Dataset] cur_step=6104 phase=C_full_covt + {'loss': '3.269', 'grad_norm': '4.901', 'learning_rate': '1.287e-05', 'epoch': '0.2196'} + 68%|████████████████████▎ | 6104/9000 [4:48:03<3:17:57, 4.10s/it] {'lm_loss': '0.6388', 'visual_loss': '2.73', 'seg_loss': '0.7826', 'dino_loss': '0.8972', 'depth_loss': '0.2132', 'vggt_mse_loss': '0.2116', 'vggt_cos_loss': '0.01555', 'pidinet_loss': '0.2483', 'siglip_loss': '0.5887', 'epoch': '0.2196'} + 68%|████████████████████▎ | 6104/9000 [4:48:06<3:17:57, 4.10s/it][Dataset] cur_step=6105 phase=C_full_covt +[Dataset] cur_step=6105 phase=C_full_covt[Dataset] cur_step=6105 phase=C_full_covt + +[Dataset] cur_step=6105 phase=C_full_covt +[Dataset] cur_step=6105 phase=C_full_covt +[Dataset] cur_step=6105 phase=C_full_covt +[Dataset] cur_step=6105 phase=C_full_covt + 68%|████████████████████▎ | 6105/9000 [4:48:07<3:13:51, 4.02s/it][Dataset] cur_step=6105 phase=C_full_covt + {'loss': '3.072', 'grad_norm': '1.97', 'learning_rate': '1.286e-05', 'epoch': '0.2196'} + 68%|████████████████████▎ | 6105/9000 [4:48:07<3:13:51, 4.02s/it] {'lm_loss': '0.008429', 'visual_loss': '2.396', 'seg_loss': '0.6911', 'dino_loss': '0.8958', 'depth_loss': '0.2385', 'vggt_mse_loss': '0.2368', 'vggt_cos_loss': '0.01731', 'pidinet_loss': '0.2177', 'siglip_loss': '0.3527', 'epoch': '0.2196'} + 68%|████████████████████▎ | 6105/9000 [4:48:10<3:13:51, 4.02s/it][Dataset] cur_step=6106 phase=C_full_covt +[Dataset] cur_step=6106 phase=C_full_covt +[Dataset] cur_step=6106 phase=C_full_covt +[Dataset] cur_step=6106 phase=C_full_covt + 68%|████████████████████▎ | 6106/9000 [4:48:11<3:21:02, 4.17s/it][Dataset] cur_step=6106 phase=C_full_covt +[Dataset] cur_step=6106 phase=C_full_covt +[Dataset] cur_step=6106 phase=C_full_covt +[Dataset] cur_step=6106 phase=C_full_covt + {'loss': '2.888', 'grad_norm': '2.435', 'learning_rate': '1.285e-05', 'epoch': '0.2197'} + 68%|████████████████████▎ | 6106/9000 [4:48:11<3:21:02, 4.17s/it] {'lm_loss': '0.1958', 'visual_loss': '2.625', 'seg_loss': '0.6581', 'dino_loss': '0.8979', 'depth_loss': '0.4456', 'vggt_mse_loss': '0.4414', 'vggt_cos_loss': '0.04185', 'pidinet_loss': '0.2179', 'siglip_loss': '0.4058', 'epoch': '0.2197'} + 68%|████████████████████▎ | 6106/9000 [4:48:15<3:21:02, 4.17s/it][Dataset] cur_step=6107 phase=C_full_covt[Dataset] cur_step=6107 phase=C_full_covt + + 68%|████████████████████▎ | 6107/9000 [4:48:16<3:22:29, 4.20s/it][Dataset] cur_step=6107 phase=C_full_covt +[Dataset] cur_step=6107 phase=C_full_covt +[Dataset] cur_step=6107 phase=C_full_covt +[Dataset] cur_step=6107 phase=C_full_covt +[Dataset] cur_step=6107 phase=C_full_covt +[Dataset] cur_step=6107 phase=C_full_covt + {'loss': '2.948', 'grad_norm': '6.899', 'learning_rate': '1.284e-05', 'epoch': '0.2197'} + 68%|████████████████████▎ | 6107/9000 [4:48:16<3:22:29, 4.20s/it] {'lm_loss': '0.5852', 'visual_loss': '2.96', 'seg_loss': '0.8572', 'dino_loss': '0.9468', 'depth_loss': '0.2591', 'vggt_mse_loss': '0.257', 'vggt_cos_loss': '0.02113', 'pidinet_loss': '0.2665', 'siglip_loss': '0.6306', 'epoch': '0.2197'} + 68%|████████████████████▎ | 6107/9000 [4:48:19<3:22:29, 4.20s/it][Dataset] cur_step=6108 phase=C_full_covt +[Dataset] cur_step=6108 phase=C_full_covt +[Dataset] cur_step=6108 phase=C_full_covt +[Dataset] cur_step=6108 phase=C_full_covt +[Dataset] cur_step=6108 phase=C_full_covt +[Dataset] cur_step=6108 phase=C_full_covt +[Dataset] cur_step=6108 phase=C_full_covt +[Dataset] cur_step=6108 phase=C_full_covt + 68%|████████████████████▎ | 6108/9000 [4:48:19<3:17:10, 4.09s/it] {'loss': '2.959', 'grad_norm': '3.961', 'learning_rate': '1.284e-05', 'epoch': '0.2197'} + 68%|████████████████████▎ | 6108/9000 [4:48:19<3:17:10, 4.09s/it] {'lm_loss': '0.9628', 'visual_loss': '2.817', 'seg_loss': '0.6737', 'dino_loss': '0.8986', 'depth_loss': '0.2347', 'vggt_mse_loss': '0.233', 'vggt_cos_loss': '0.01756', 'pidinet_loss': '0.2739', 'siglip_loss': '0.7364', 'epoch': '0.2197'} + 68%|████████████████████▎ | 6108/9000 [4:48:23<3:17:10, 4.09s/it][Dataset] cur_step=6109 phase=C_full_covt +[Dataset] cur_step=6109 phase=C_full_covt +[Dataset] cur_step=6109 phase=C_full_covt +[Dataset] cur_step=6109 phase=C_full_covt +[Dataset] cur_step=6109 phase=C_full_covt +[Dataset] cur_step=6109 phase=C_full_covt +[Dataset] cur_step=6109 phase=C_full_covt + 68%|████████████████████▎ | 6109/9000 [4:48:24<3:20:10, 4.15s/it][Dataset] cur_step=6109 phase=C_full_covt + {'loss': '3.114', 'grad_norm': '1.618', 'learning_rate': '1.283e-05', 'epoch': '0.2198'} + 68%|████████████████████▎ | 6109/9000 [4:48:24<3:20:10, 4.15s/it] {'lm_loss': '0.245', 'visual_loss': '2.522', 'seg_loss': '0.5857', 'dino_loss': '0.894', 'depth_loss': '0.3112', 'vggt_mse_loss': '0.3089', 'vggt_cos_loss': '0.02225', 'pidinet_loss': '0.1614', 'siglip_loss': '0.5701', 'epoch': '0.2198'} + 68%|████████████████████▎ | 6109/9000 [4:48:27<3:20:10, 4.15s/it][Dataset] cur_step=6110 phase=C_full_covt +[Dataset] cur_step=6110 phase=C_full_covt + 68%|████████████████████▎ | 6110/9000 [4:48:28<3:20:22, 4.16s/it][Dataset] cur_step=6110 phase=C_full_covt +[Dataset] cur_step=6110 phase=C_full_covt +[Dataset] cur_step=6110 phase=C_full_covt[Dataset] cur_step=6110 phase=C_full_covt + +[Dataset] cur_step=6110 phase=C_full_covt +[Dataset] cur_step=6110 phase=C_full_covt + {'loss': '3.155', 'grad_norm': '30.79', 'learning_rate': '1.282e-05', 'epoch': '0.2198'} + 68%|████████████████████▎ | 6110/9000 [4:48:28<3:20:22, 4.16s/it] {'lm_loss': '0.5615', 'visual_loss': '2.836', 'seg_loss': '0.7304', 'dino_loss': '0.9135', 'depth_loss': '0.3561', 'vggt_mse_loss': '0.3527', 'vggt_cos_loss': '0.0347', 'pidinet_loss': '0.2495', 'siglip_loss': '0.5869', 'epoch': '0.2198'} + 68%|████████████████████▎ | 6110/9000 [4:48:31<3:20:22, 4.16s/it][Dataset] cur_step=6111 phase=C_full_covt +[Dataset] cur_step=6111 phase=C_full_covt +[Dataset] cur_step=6111 phase=C_full_covt + 68%|████████████████████▎ | 6111/9000 [4:48:32<3:20:02, 4.15s/it][Dataset] cur_step=6111 phase=C_full_covt +[Dataset] cur_step=6111 phase=C_full_covt +[Dataset] cur_step=6111 phase=C_full_covt +[Dataset] cur_step=6111 phase=C_full_covt +[Dataset] cur_step=6111 phase=C_full_covt + {'loss': '3.234', 'grad_norm': '2.435', 'learning_rate': '1.281e-05', 'epoch': '0.2198'} + 68%|████████████████████▎ | 6111/9000 [4:48:32<3:20:02, 4.15s/it] {'lm_loss': '0.9516', 'visual_loss': '2.846', 'seg_loss': '0.8328', 'dino_loss': '0.9223', 'depth_loss': '0.2446', 'vggt_mse_loss': '0.2431', 'vggt_cos_loss': '0.01449', 'pidinet_loss': '0.2242', 'siglip_loss': '0.6218', 'epoch': '0.2198'} + 68%|████████████████████▎ | 6111/9000 [4:48:35<3:20:02, 4.15s/it][Dataset] cur_step=6112 phase=C_full_covt +[Dataset] cur_step=6112 phase=C_full_covt +[Dataset] cur_step=6112 phase=C_full_covt +[Dataset] cur_step=6112 phase=C_full_covt +[Dataset] cur_step=6112 phase=C_full_covt +[Dataset] cur_step=6112 phase=C_full_covt +[Dataset] cur_step=6112 phase=C_full_covt 68%|████████████████████▎ | 6112/9000 [4:48:36<3:14:28, 4.04s/it] +[Dataset] cur_step=6112 phase=C_full_covt + {'loss': '3.452', 'grad_norm': '2.624', 'learning_rate': '1.28e-05', 'epoch': '0.2199'} + 68%|████████████████████▎ | 6112/9000 [4:48:36<3:14:28, 4.04s/it] {'lm_loss': '0.5631', 'visual_loss': '2.66', 'seg_loss': '0.7588', 'dino_loss': '0.891', 'depth_loss': '0.2078', 'vggt_mse_loss': '0.2065', 'vggt_cos_loss': '0.01313', 'pidinet_loss': '0.271', 'siglip_loss': '0.5318', 'epoch': '0.2199'} + 68%|████████████████████▎ | 6112/9000 [4:48:41<3:14:28, 4.04s/it][Dataset] cur_step=6113 phase=C_full_covt + 68%|████████████████████▍ | 6113/9000 [4:48:42<3:43:26, 4.64s/it][Dataset] cur_step=6113 phase=C_full_covt[Dataset] cur_step=6113 phase=C_full_covt + +[Dataset] cur_step=6113 phase=C_full_covt[Dataset] cur_step=6113 phase=C_full_covt + +[Dataset] cur_step=6113 phase=C_full_covt[Dataset] cur_step=6113 phase=C_full_covt + +[Dataset] cur_step=6113 phase=C_full_covt + {'loss': '3.262', 'grad_norm': '2.222', 'learning_rate': '1.28e-05', 'epoch': '0.2199'} + 68%|████████████████████▍ | 6113/9000 [4:48:42<3:43:26, 4.64s/it] {'lm_loss': '0.7274', 'visual_loss': '2.663', 'seg_loss': '0.8329', 'dino_loss': '0.8976', 'depth_loss': '0.2327', 'vggt_mse_loss': '0.2312', 'vggt_cos_loss': '0.01562', 'pidinet_loss': '0.2351', 'siglip_loss': '0.4645', 'epoch': '0.2199'} + 68%|████████████████████▍ | 6113/9000 [4:48:45<3:43:26, 4.64s/it][Dataset] cur_step=6114 phase=C_full_covt +[Dataset] cur_step=6114 phase=C_full_covt +[Dataset] cur_step=6114 phase=C_full_covt +[Dataset] cur_step=6114 phase=C_full_covt[Dataset] cur_step=6114 phase=C_full_covt +[Dataset] cur_step=6114 phase=C_full_covt + +[Dataset] cur_step=6114 phase=C_full_covt +[Dataset] cur_step=6114 phase=C_full_covt + 68%|████████████████████▍ | 6114/9000 [4:48:46<3:40:26, 4.58s/it] {'loss': '3.173', 'grad_norm': '2.111', 'learning_rate': '1.279e-05', 'epoch': '0.22'} + 68%|████████████████████▍ | 6114/9000 [4:48:46<3:40:26, 4.58s/it] {'lm_loss': '0.00561', 'visual_loss': '2.82', 'seg_loss': '0.8388', 'dino_loss': '0.9295', 'depth_loss': '0.277', 'vggt_mse_loss': '0.2749', 'vggt_cos_loss': '0.02106', 'pidinet_loss': '0.2284', 'siglip_loss': '0.5464', 'epoch': '0.22'} + 68%|████████████████████▍ | 6114/9000 [4:48:49<3:40:26, 4.58s/it][Dataset] cur_step=6115 phase=C_full_covt +[Dataset] cur_step=6115 phase=C_full_covt +[Dataset] cur_step=6115 phase=C_full_covt[Dataset] cur_step=6115 phase=C_full_covt + +[Dataset] cur_step=6115 phase=C_full_covt[Dataset] cur_step=6115 phase=C_full_covt + +[Dataset] cur_step=6115 phase=C_full_covt +[Dataset] cur_step=6115 phase=C_full_covt + 68%|████████████████████▍ | 6115/9000 [4:48:50<3:31:33, 4.40s/it] {'loss': '3.042', 'grad_norm': '1.62', 'learning_rate': '1.278e-05', 'epoch': '0.22'} + 68%|████████████████████▍ | 6115/9000 [4:48:50<3:31:33, 4.40s/it] {'lm_loss': '0.2101', 'visual_loss': '2.608', 'seg_loss': '0.5887', 'dino_loss': '0.9089', 'depth_loss': '0.2076', 'vggt_mse_loss': '0.2061', 'vggt_cos_loss': '0.01536', 'pidinet_loss': '0.2444', 'siglip_loss': '0.6588', 'epoch': '0.22'} + 68%|████████████████████▍ | 6115/9000 [4:48:53<3:31:33, 4.40s/it][Dataset] cur_step=6116 phase=C_full_covt +[Dataset] cur_step=6116 phase=C_full_covt +[Dataset] cur_step=6116 phase=C_full_covt +[Dataset] cur_step=6116 phase=C_full_covt +[Dataset] cur_step=6116 phase=C_full_covt + 68%|████████████████████▍ | 6116/9000 [4:48:54<3:27:05, 4.31s/it][Dataset] cur_step=6116 phase=C_full_covt +[Dataset] cur_step=6116 phase=C_full_covt +[Dataset] cur_step=6116 phase=C_full_covt + {'loss': '2.899', 'grad_norm': '8.444', 'learning_rate': '1.277e-05', 'epoch': '0.22'} + 68%|████████████████████▍ | 6116/9000 [4:48:54<3:27:05, 4.31s/it] {'lm_loss': '0.4759', 'visual_loss': '2.566', 'seg_loss': '0.4929', 'dino_loss': '0.8936', 'depth_loss': '0.2349', 'vggt_mse_loss': '0.2336', 'vggt_cos_loss': '0.0128', 'pidinet_loss': '0.2125', 'siglip_loss': '0.7316', 'epoch': '0.22'} + 68%|████████████████████▍ | 6116/9000 [4:48:58<3:27:05, 4.31s/it][Dataset] cur_step=6117 phase=C_full_covt +[Dataset] cur_step=6117 phase=C_full_covt[Dataset] cur_step=6117 phase=C_full_covt + +[Dataset] cur_step=6117 phase=C_full_covt + 68%|████████████████████▍ | 6117/9000 [4:48:59<3:26:42, 4.30s/it][Dataset] cur_step=6117 phase=C_full_covt +[Dataset] cur_step=6117 phase=C_full_covt +[Dataset] cur_step=6117 phase=C_full_covt +[Dataset] cur_step=6117 phase=C_full_covt + {'loss': '3.015', 'grad_norm': '2.409', 'learning_rate': '1.276e-05', 'epoch': '0.2201'} + 68%|████████████████████▍ | 6117/9000 [4:48:59<3:26:42, 4.30s/it] {'lm_loss': '0.008364', 'visual_loss': '2.617', 'seg_loss': '0.6552', 'dino_loss': '0.9294', 'depth_loss': '0.308', 'vggt_mse_loss': '0.3056', 'vggt_cos_loss': '0.02389', 'pidinet_loss': '0.2387', 'siglip_loss': '0.4856', 'epoch': '0.2201'} + 68%|████████████████████▍ | 6117/9000 [4:49:02<3:26:42, 4.30s/it][Dataset] cur_step=6118 phase=C_full_covt +[Dataset] cur_step=6118 phase=C_full_covt +[Dataset] cur_step=6118 phase=C_full_covt +[Dataset] cur_step=6118 phase=C_full_covt +[Dataset] cur_step=6118 phase=C_full_covt[Dataset] cur_step=6118 phase=C_full_covt + +[Dataset] cur_step=6118 phase=C_full_covt 68%|████████████████████▍ | 6118/9000 [4:49:02<3:18:18, 4.13s/it] +[Dataset] cur_step=6118 phase=C_full_covt + {'loss': '3.004', 'grad_norm': '1.826', 'learning_rate': '1.276e-05', 'epoch': '0.2201'} + 68%|████████████████████▍ | 6118/9000 [4:49:02<3:18:18, 4.13s/it] {'lm_loss': '0.7866', 'visual_loss': '2.708', 'seg_loss': '0.7644', 'dino_loss': '0.9103', 'depth_loss': '0.2484', 'vggt_mse_loss': '0.2463', 'vggt_cos_loss': '0.02098', 'pidinet_loss': '0.2134', 'siglip_loss': '0.5714', 'epoch': '0.2201'} + 68%|████████████████████▍ | 6118/9000 [4:49:06<3:18:18, 4.13s/it][Dataset] cur_step=6119 phase=C_full_covt + 68%|████████████████████▍ | 6119/9000 [4:49:06<3:16:43, 4.10s/it][Dataset] cur_step=6119 phase=C_full_covt +[Dataset] cur_step=6119 phase=C_full_covt +[Dataset] cur_step=6119 phase=C_full_covt +[Dataset] cur_step=6119 phase=C_full_covt[Dataset] cur_step=6119 phase=C_full_covt +[Dataset] cur_step=6119 phase=C_full_covt + +[Dataset] cur_step=6119 phase=C_full_covt + {'loss': '3.21', 'grad_norm': '2.17', 'learning_rate': '1.275e-05', 'epoch': '0.2201'} + 68%|████████████████████▍ | 6119/9000 [4:49:06<3:16:43, 4.10s/it] {'lm_loss': '0.001625', 'visual_loss': '2.499', 'seg_loss': '0.7235', 'dino_loss': '0.908', 'depth_loss': '0.1874', 'vggt_mse_loss': '0.1863', 'vggt_cos_loss': '0.01165', 'pidinet_loss': '0.1898', 'siglip_loss': '0.4902', 'epoch': '0.2201'} + 68%|████████████████████▍ | 6119/9000 [4:49:10<3:16:43, 4.10s/it][Dataset] cur_step=6120 phase=C_full_covt +[Dataset] cur_step=6120 phase=C_full_covt +[Dataset] cur_step=6120 phase=C_full_covt[Dataset] cur_step=6120 phase=C_full_covt + +[Dataset] cur_step=6120 phase=C_full_covt[Dataset] cur_step=6120 phase=C_full_covt + +[Dataset] cur_step=6120 phase=C_full_covt +[Dataset] cur_step=6120 phase=C_full_covt + 68%|████████████████████▍ | 6120/9000 [4:49:10<3:17:09, 4.11s/it] {'loss': '3.057', 'grad_norm': '4.645', 'learning_rate': '1.274e-05', 'epoch': '0.2202'} + 68%|████████████████████▍ | 6120/9000 [4:49:10<3:17:09, 4.11s/it] {'lm_loss': '0.1881', 'visual_loss': '2.331', 'seg_loss': '0.7033', 'dino_loss': '0.8787', 'depth_loss': '0.233', 'vggt_mse_loss': '0.2315', 'vggt_cos_loss': '0.01507', 'pidinet_loss': '0.1665', 'siglip_loss': '0.3496', 'epoch': '0.2202'} + 68%|████████████████████▍ | 6120/9000 [4:49:14<3:17:09, 4.11s/it][Dataset] cur_step=6121 phase=C_full_covt +[Dataset] cur_step=6121 phase=C_full_covt + 68%|████████████████████▍ | 6121/9000 [4:49:14<3:14:17, 4.05s/it][Dataset] cur_step=6121 phase=C_full_covt +[Dataset] cur_step=6121 phase=C_full_covt +[Dataset] cur_step=6121 phase=C_full_covt +[Dataset] cur_step=6121 phase=C_full_covt +[Dataset] cur_step=6121 phase=C_full_covt +[Dataset] cur_step=6121 phase=C_full_covt + {'loss': '2.997', 'grad_norm': '1.908', 'learning_rate': '1.273e-05', 'epoch': '0.2202'} + 68%|████████████████████▍ | 6121/9000 [4:49:14<3:14:17, 4.05s/it] {'lm_loss': '0.5757', 'visual_loss': '2.788', 'seg_loss': '0.8372', 'dino_loss': '0.9298', 'depth_loss': '0.2378', 'vggt_mse_loss': '0.236', 'vggt_cos_loss': '0.01837', 'pidinet_loss': '0.2539', 'siglip_loss': '0.5287', 'epoch': '0.2202'} + 68%|████████████████████▍ | 6121/9000 [4:49:18<3:14:17, 4.05s/it][Dataset] cur_step=6122 phase=C_full_covt + 68%|████████████████████▍ | 6122/9000 [4:49:18<3:11:07, 3.98s/it][Dataset] cur_step=6122 phase=C_full_covt +[Dataset] cur_step=6122 phase=C_full_covt[Dataset] cur_step=6122 phase=C_full_covt + +[Dataset] cur_step=6122 phase=C_full_covt +[Dataset] cur_step=6122 phase=C_full_covt +[Dataset] cur_step=6122 phase=C_full_covt +[Dataset] cur_step=6122 phase=C_full_covt + {'loss': '3.393', 'grad_norm': '2.306', 'learning_rate': '1.272e-05', 'epoch': '0.2202'} + 68%|████████████████████▍ | 6122/9000 [4:49:18<3:11:07, 3.98s/it] {'lm_loss': '0.01731', 'visual_loss': '2.771', 'seg_loss': '0.8158', 'dino_loss': '0.9253', 'depth_loss': '0.2398', 'vggt_mse_loss': '0.2381', 'vggt_cos_loss': '0.01706', 'pidinet_loss': '0.2288', 'siglip_loss': '0.5608', 'epoch': '0.2202'} + 68%|████████████████████▍ | 6122/9000 [4:49:22<3:11:07, 3.98s/it][Dataset] cur_step=6123 phase=C_full_covt +[Dataset] cur_step=6123 phase=C_full_covt +[Dataset] cur_step=6123 phase=C_full_covt +[Dataset] cur_step=6123 phase=C_full_covt +[Dataset] cur_step=6123 phase=C_full_covt +[Dataset] cur_step=6123 phase=C_full_covt +[Dataset] cur_step=6123 phase=C_full_covt[Dataset] cur_step=6123 phase=C_full_covt + + 68%|████████████████████▍ | 6123/9000 [4:49:22<3:10:15, 3.97s/it] {'loss': '2.778', 'grad_norm': '2.503', 'learning_rate': '1.272e-05', 'epoch': '0.2203'} + 68%|████████████████████▍ | 6123/9000 [4:49:22<3:10:15, 3.97s/it] {'lm_loss': '0.1971', 'visual_loss': '2.805', 'seg_loss': '0.7616', 'dino_loss': '0.919', 'depth_loss': '0.2879', 'vggt_mse_loss': '0.2857', 'vggt_cos_loss': '0.02203', 'pidinet_loss': '0.2494', 'siglip_loss': '0.587', 'epoch': '0.2203'} + 68%|████████████████████▍ | 6123/9000 [4:49:25<3:10:15, 3.97s/it][Dataset] cur_step=6124 phase=C_full_covt +[Dataset] cur_step=6124 phase=C_full_covt[Dataset] cur_step=6124 phase=C_full_covt + +[Dataset] cur_step=6124 phase=C_full_covt +[Dataset] cur_step=6124 phase=C_full_covt[Dataset] cur_step=6124 phase=C_full_covt + +[Dataset] cur_step=6124 phase=C_full_covt +[Dataset] cur_step=6124 phase=C_full_covt + 68%|████████████████████▍ | 6124/9000 [4:49:27<3:17:27, 4.12s/it] {'loss': '3.009', 'grad_norm': '2.06', 'learning_rate': '1.271e-05', 'epoch': '0.2203'} + 68%|████████████████████▍ | 6124/9000 [4:49:27<3:17:27, 4.12s/it] {'lm_loss': '0.2431', 'visual_loss': '2.776', 'seg_loss': '0.7399', 'dino_loss': '0.9334', 'depth_loss': '0.3024', 'vggt_mse_loss': '0.3', 'vggt_cos_loss': '0.02427', 'pidinet_loss': '0.2257', 'siglip_loss': '0.5747', 'epoch': '0.2203'} + 68%|████████████████████▍ | 6124/9000 [4:49:30<3:17:27, 4.12s/it][Dataset] cur_step=6125 phase=C_full_covt +[Dataset] cur_step=6125 phase=C_full_covt +[Dataset] cur_step=6125 phase=C_full_covt +[Dataset] cur_step=6125 phase=C_full_covt +[Dataset] cur_step=6125 phase=C_full_covt +[Dataset] cur_step=6125 phase=C_full_covt +[Dataset] cur_step=6125 phase=C_full_covt +[Dataset] cur_step=6125 phase=C_full_covt + 68%|████████████████████▍ | 6125/9000 [4:49:31<3:21:11, 4.20s/it] {'loss': '3.211', 'grad_norm': '2.293', 'learning_rate': '1.27e-05', 'epoch': '0.2203'} + 68%|████████████████████▍ | 6125/9000 [4:49:31<3:21:11, 4.20s/it] {'lm_loss': '0.3988', 'visual_loss': '2.887', 'seg_loss': '0.68', 'dino_loss': '0.8946', 'depth_loss': '0.1855', 'vggt_mse_loss': '0.1841', 'vggt_cos_loss': '0.01371', 'pidinet_loss': '0.2422', 'siglip_loss': '0.8844', 'epoch': '0.2203'} + 68%|████████████████████▍ | 6125/9000 [4:49:34<3:21:11, 4.20s/it][Dataset] cur_step=6126 phase=C_full_covt +[Dataset] cur_step=6126 phase=C_full_covt[Dataset] cur_step=6126 phase=C_full_covt + +[Dataset] cur_step=6126 phase=C_full_covt +[Dataset] cur_step=6126 phase=C_full_covt[Dataset] cur_step=6126 phase=C_full_covt[Dataset] cur_step=6126 phase=C_full_covt + + + 68%|████████████████████▍ | 6126/9000 [4:49:37<3:49:50, 4.80s/it][Dataset] cur_step=6126 phase=C_full_covt + {'loss': '2.994', 'grad_norm': '5.444', 'learning_rate': '1.269e-05', 'epoch': '0.2204'} + 68%|████████████████████▍ | 6126/9000 [4:49:37<3:49:50, 4.80s/it] {'lm_loss': '0.2463', 'visual_loss': '2.455', 'seg_loss': '0.7766', 'dino_loss': '0.8806', 'depth_loss': '0.195', 'vggt_mse_loss': '0.194', 'vggt_cos_loss': '0.009983', 'pidinet_loss': '0.1966', 'siglip_loss': '0.4061', 'epoch': '0.2204'} + 68%|████████████████████▍ | 6126/9000 [4:49:40<3:49:50, 4.80s/it][Dataset] cur_step=6127 phase=C_full_covt[Dataset] cur_step=6127 phase=C_full_covt + +[Dataset] cur_step=6127 phase=C_full_covt +[Dataset] cur_step=6127 phase=C_full_covt +[Dataset] cur_step=6127 phase=C_full_covt +[Dataset] cur_step=6127 phase=C_full_covt + 68%|████████████████████▍ | 6127/9000 [4:49:41<3:37:25, 4.54s/it][Dataset] cur_step=6127 phase=C_full_covt +[Dataset] cur_step=6127 phase=C_full_covt + {'loss': '2.967', 'grad_norm': '2.694', 'learning_rate': '1.268e-05', 'epoch': '0.2204'} + 68%|████████████████████▍ | 6127/9000 [4:49:41<3:37:25, 4.54s/it] {'lm_loss': '0.1508', 'visual_loss': '2.235', 'seg_loss': '0.5865', 'dino_loss': '0.8871', 'depth_loss': '0.1983', 'vggt_mse_loss': '0.1969', 'vggt_cos_loss': '0.01409', 'pidinet_loss': '0.1978', 'siglip_loss': '0.3654', 'epoch': '0.2204'} + 68%|████████████████████▍ | 6127/9000 [4:49:45<3:37:25, 4.54s/it][Dataset] cur_step=6128 phase=C_full_covt +[Dataset] cur_step=6128 phase=C_full_covt[Dataset] cur_step=6128 phase=C_full_covt + +[Dataset] cur_step=6128 phase=C_full_covt[Dataset] cur_step=6128 phase=C_full_covt + +[Dataset] cur_step=6128 phase=C_full_covt + 68%|████████████████████▍ | 6128/9000 [4:49:46<3:36:38, 4.53s/it][Dataset] cur_step=6128 phase=C_full_covt +[Dataset] cur_step=6128 phase=C_full_covt + {'loss': '3.096', 'grad_norm': '57.07', 'learning_rate': '1.268e-05', 'epoch': '0.2205'} + 68%|████████████████████▍ | 6128/9000 [4:49:46<3:36:38, 4.53s/it] {'lm_loss': '0.3599', 'visual_loss': '2.43', 'seg_loss': '0.6949', 'dino_loss': '0.9091', 'depth_loss': '0.259', 'vggt_mse_loss': '0.2575', 'vggt_cos_loss': '0.0148', 'pidinet_loss': '0.1891', 'siglip_loss': '0.3777', 'epoch': '0.2205'} + 68%|████████████████████▍ | 6128/9000 [4:49:49<3:36:38, 4.53s/it][Dataset] cur_step=6129 phase=C_full_covt +[Dataset] cur_step=6129 phase=C_full_covt +[Dataset] cur_step=6129 phase=C_full_covt +[Dataset] cur_step=6129 phase=C_full_covt +[Dataset] cur_step=6129 phase=C_full_covt + 68%|████████████████████▍ | 6129/9000 [4:49:50<3:31:04, 4.41s/it][Dataset] cur_step=6129 phase=C_full_covt +[Dataset] cur_step=6129 phase=C_full_covt +[Dataset] cur_step=6129 phase=C_full_covt + {'loss': '3.054', 'grad_norm': '1.64', 'learning_rate': '1.267e-05', 'epoch': '0.2205'} + 68%|████████████████████▍ | 6129/9000 [4:49:50<3:31:04, 4.41s/it] {'lm_loss': '1.082', 'visual_loss': '2.817', 'seg_loss': '0.763', 'dino_loss': '0.8868', 'depth_loss': '0.1839', 'vggt_mse_loss': '0.1828', 'vggt_cos_loss': '0.01099', 'pidinet_loss': '0.2398', 'siglip_loss': '0.7434', 'epoch': '0.2205'} + 68%|████████████████████▍ | 6129/9000 [4:49:53<3:31:04, 4.41s/it][Dataset] cur_step=6130 phase=C_full_covt +[Dataset] cur_step=6130 phase=C_full_covt +[Dataset] cur_step=6130 phase=C_full_covt +[Dataset] cur_step=6130 phase=C_full_covt[Dataset] cur_step=6130 phase=C_full_covt[Dataset] cur_step=6130 phase=C_full_covt + + +[Dataset] cur_step=6130 phase=C_full_covt + 68%|████████████████████▍ | 6130/9000 [4:49:54<3:25:19, 4.29s/it][Dataset] cur_step=6130 phase=C_full_covt + {'loss': '3.138', 'grad_norm': '2.057', 'learning_rate': '1.266e-05', 'epoch': '0.2205'} + 68%|████████████████████▍ | 6130/9000 [4:49:54<3:25:19, 4.29s/it] {'lm_loss': '0.4538', 'visual_loss': '2.689', 'seg_loss': '0.5834', 'dino_loss': '0.922', 'depth_loss': '0.271', 'vggt_mse_loss': '0.269', 'vggt_cos_loss': '0.02043', 'pidinet_loss': '0.2834', 'siglip_loss': '0.6297', 'epoch': '0.2205'} + 68%|████████████████████▍ | 6130/9000 [4:49:57<3:25:19, 4.29s/it][Dataset] cur_step=6131 phase=C_full_covt +[Dataset] cur_step=6131 phase=C_full_covt +[Dataset] cur_step=6131 phase=C_full_covt +[Dataset] cur_step=6131 phase=C_full_covt[Dataset] cur_step=6131 phase=C_full_covt + +[Dataset] cur_step=6131 phase=C_full_covt +[Dataset] cur_step=6131 phase=C_full_covt + 68%|████████████████████▍ | 6131/9000 [4:50:00<3:46:23, 4.73s/it][Dataset] cur_step=6131 phase=C_full_covt + {'loss': '3.331', 'grad_norm': '2.436', 'learning_rate': '1.265e-05', 'epoch': '0.2206'} + 68%|████████████████████▍ | 6131/9000 [4:50:00<3:46:23, 4.73s/it] {'lm_loss': '0.3358', 'visual_loss': '2.923', 'seg_loss': '0.822', 'dino_loss': '0.9071', 'depth_loss': '0.2921', 'vggt_mse_loss': '0.2902', 'vggt_cos_loss': '0.01948', 'pidinet_loss': '0.236', 'siglip_loss': '0.6663', 'epoch': '0.2206'} + 68%|████████████████████▍ | 6131/9000 [4:50:02<3:46:23, 4.73s/it][Dataset] cur_step=6132 phase=C_full_covt +[Dataset] cur_step=6132 phase=C_full_covt +[Dataset] cur_step=6132 phase=C_full_covt +[Dataset] cur_step=6132 phase=C_full_covt +[Dataset] cur_step=6132 phase=C_full_covt +[Dataset] cur_step=6132 phase=C_full_covt +[Dataset] cur_step=6132 phase=C_full_covt +[Dataset] cur_step=6132 phase=C_full_covt + 68%|████████████████████▍ | 6132/9000 [4:50:04<3:35:35, 4.51s/it] {'loss': '3.214', 'grad_norm': '1.931', 'learning_rate': '1.264e-05', 'epoch': '0.2206'} + 68%|████████████████████▍ | 6132/9000 [4:50:04<3:35:35, 4.51s/it] {'lm_loss': '0.003867', 'visual_loss': '2.611', 'seg_loss': '0.7804', 'dino_loss': '0.8953', 'depth_loss': '0.2079', 'vggt_mse_loss': '0.2066', 'vggt_cos_loss': '0.01332', 'pidinet_loss': '0.1834', 'siglip_loss': '0.5438', 'epoch': '0.2206'} + 68%|████████████████████▍ | 6132/9000 [4:50:06<3:35:35, 4.51s/it][Dataset] cur_step=6133 phase=C_full_covt[Dataset] cur_step=6133 phase=C_full_covt + +[Dataset] cur_step=6133 phase=C_full_covt +[Dataset] cur_step=6133 phase=C_full_covt[Dataset] cur_step=6133 phase=C_full_covt + +[Dataset] cur_step=6133 phase=C_full_covt[Dataset] cur_step=6133 phase=C_full_covt + +[Dataset] cur_step=6133 phase=C_full_covt + 68%|████████████████████▍ | 6133/9000 [4:50:07<3:24:27, 4.28s/it] {'loss': '2.931', 'grad_norm': '2.403', 'learning_rate': '1.264e-05', 'epoch': '0.2206'} + 68%|████████████████████▍ | 6133/9000 [4:50:07<3:24:27, 4.28s/it] {'lm_loss': '0.08571', 'visual_loss': '2.553', 'seg_loss': '0.6675', 'dino_loss': '0.9237', 'depth_loss': '0.2345', 'vggt_mse_loss': '0.2329', 'vggt_cos_loss': '0.01624', 'pidinet_loss': '0.2118', 'siglip_loss': '0.5157', 'epoch': '0.2206'} + 68%|████████████████████▍ | 6133/9000 [4:50:10<3:24:27, 4.28s/it][Dataset] cur_step=6134 phase=C_full_covt[Dataset] cur_step=6134 phase=C_full_covt + +[Dataset] cur_step=6134 phase=C_full_covt +[Dataset] cur_step=6134 phase=C_full_covt +[Dataset] cur_step=6134 phase=C_full_covt +[Dataset] cur_step=6134 phase=C_full_covt +[Dataset] cur_step=6134 phase=C_full_covt[Dataset] cur_step=6134 phase=C_full_covt + + 68%|████████████████████▍ | 6134/9000 [4:50:11<3:22:16, 4.23s/it] {'loss': '2.938', 'grad_norm': '2.446', 'learning_rate': '1.263e-05', 'epoch': '0.2207'} + 68%|████████████████████▍ | 6134/9000 [4:50:11<3:22:16, 4.23s/it] {'lm_loss': '0.5587', 'visual_loss': '2.898', 'seg_loss': '0.7222', 'dino_loss': '0.8907', 'depth_loss': '0.3115', 'vggt_mse_loss': '0.3092', 'vggt_cos_loss': '0.02294', 'pidinet_loss': '0.2289', 'siglip_loss': '0.7449', 'epoch': '0.2207'} + 68%|████████████████████▍ | 6134/9000 [4:50:14<3:22:16, 4.23s/it][Dataset] cur_step=6135 phase=C_full_covt +[Dataset] cur_step=6135 phase=C_full_covt +[Dataset] cur_step=6135 phase=C_full_covt[Dataset] cur_step=6135 phase=C_full_covt + +[Dataset] cur_step=6135 phase=C_full_covt[Dataset] cur_step=6135 phase=C_full_covt + +[Dataset] cur_step=6135 phase=C_full_covt +[Dataset] cur_step=6135 phase=C_full_covt + 68%|████████████████████▍ | 6135/9000 [4:50:15<3:13:45, 4.06s/it] {'loss': '3.179', 'grad_norm': '1.9', 'learning_rate': '1.262e-05', 'epoch': '0.2207'} + 68%|████████████████████▍ | 6135/9000 [4:50:15<3:13:45, 4.06s/it] {'lm_loss': '0.2748', 'visual_loss': '2.728', 'seg_loss': '0.7513', 'dino_loss': '0.9124', 'depth_loss': '0.2346', 'vggt_mse_loss': '0.233', 'vggt_cos_loss': '0.01532', 'pidinet_loss': '0.2715', 'siglip_loss': '0.5578', 'epoch': '0.2207'} + 68%|████████████████████▍ | 6135/9000 [4:50:19<3:13:45, 4.06s/it][Dataset] cur_step=6136 phase=C_full_covt +[Dataset] cur_step=6136 phase=C_full_covt[Dataset] cur_step=6136 phase=C_full_covt + +[Dataset] cur_step=6136 phase=C_full_covt + 68%|████████████████████▍ | 6136/9000 [4:50:19<3:14:30, 4.07s/it][Dataset] cur_step=6136 phase=C_full_covt +[Dataset] cur_step=6136 phase=C_full_covt +[Dataset] cur_step=6136 phase=C_full_covt +[Dataset] cur_step=6136 phase=C_full_covt + {'loss': '3.031', 'grad_norm': '3.598', 'learning_rate': '1.261e-05', 'epoch': '0.2207'} + 68%|████████████████████▍ | 6136/9000 [4:50:19<3:14:30, 4.07s/it] {'lm_loss': '0.6203', 'visual_loss': '2.748', 'seg_loss': '0.6517', 'dino_loss': '0.928', 'depth_loss': '0.2885', 'vggt_mse_loss': '0.2866', 'vggt_cos_loss': '0.0189', 'pidinet_loss': '0.2279', 'siglip_loss': '0.6518', 'epoch': '0.2207'} + 68%|████████████████████▍ | 6136/9000 [4:50:23<3:14:30, 4.07s/it][Dataset] cur_step=6137 phase=C_full_covt +[Dataset] cur_step=6137 phase=C_full_covt + 68%|████████████████████▍ | 6137/9000 [4:50:23<3:17:25, 4.14s/it][Dataset] cur_step=6137 phase=C_full_covt[Dataset] cur_step=6137 phase=C_full_covt + +[Dataset] cur_step=6137 phase=C_full_covt +[Dataset] cur_step=6137 phase=C_full_covt[Dataset] cur_step=6137 phase=C_full_covt + +[Dataset] cur_step=6137 phase=C_full_covt + {'loss': '3.291', 'grad_norm': '2.169', 'learning_rate': '1.26e-05', 'epoch': '0.2208'} + 68%|████████████████████▍ | 6137/9000 [4:50:23<3:17:25, 4.14s/it] {'lm_loss': '0.3698', 'visual_loss': '2.58', 'seg_loss': '0.6946', 'dino_loss': '0.9241', 'depth_loss': '0.1909', 'vggt_mse_loss': '0.1896', 'vggt_cos_loss': '0.01321', 'pidinet_loss': '0.2442', 'siglip_loss': '0.5257', 'epoch': '0.2208'} + 68%|████████████████████▍ | 6137/9000 [4:50:27<3:17:25, 4.14s/it][Dataset] cur_step=6138 phase=C_full_covt +[Dataset] cur_step=6138 phase=C_full_covt +[Dataset] cur_step=6138 phase=C_full_covt[Dataset] cur_step=6138 phase=C_full_covt + + 68%|████████████████████▍ | 6138/9000 [4:50:28<3:19:41, 4.19s/it][Dataset] cur_step=6138 phase=C_full_covt +[Dataset] cur_step=6138 phase=C_full_covt +[Dataset] cur_step=6138 phase=C_full_covt +[Dataset] cur_step=6138 phase=C_full_covt + {'loss': '2.827', 'grad_norm': '10.86', 'learning_rate': '1.26e-05', 'epoch': '0.2208'} + 68%|████████████████████▍ | 6138/9000 [4:50:28<3:19:41, 4.19s/it] {'lm_loss': '0.1689', 'visual_loss': '2.864', 'seg_loss': '0.814', 'dino_loss': '0.9256', 'depth_loss': '0.3792', 'vggt_mse_loss': '0.3759', 'vggt_cos_loss': '0.033', 'pidinet_loss': '0.2217', 'siglip_loss': '0.5238', 'epoch': '0.2208'} + 68%|████████████████████▍ | 6138/9000 [4:50:30<3:19:41, 4.19s/it][Dataset] cur_step=6139 phase=C_full_covt +[Dataset] cur_step=6139 phase=C_full_covt +[Dataset] cur_step=6139 phase=C_full_covt[Dataset] cur_step=6139 phase=C_full_covt + +[Dataset] cur_step=6139 phase=C_full_covt +[Dataset] cur_step=6139 phase=C_full_covt + 68%|████████████████████▍ | 6139/9000 [4:50:32<3:14:44, 4.08s/it][Dataset] cur_step=6139 phase=C_full_covt[Dataset] cur_step=6139 phase=C_full_covt + + {'loss': '3.151', 'grad_norm': '5.519', 'learning_rate': '1.259e-05', 'epoch': '0.2209'} + 68%|████████████████████▍ | 6139/9000 [4:50:32<3:14:44, 4.08s/it] {'lm_loss': '0.6239', 'visual_loss': '2.762', 'seg_loss': '0.7212', 'dino_loss': '0.9508', 'depth_loss': '0.2479', 'vggt_mse_loss': '0.2462', 'vggt_cos_loss': '0.01683', 'pidinet_loss': '0.2307', 'siglip_loss': '0.6111', 'epoch': '0.2209'} + 68%|████████████████████▍ | 6139/9000 [4:50:35<3:14:44, 4.08s/it][Dataset] cur_step=6140 phase=C_full_covt +[Dataset] cur_step=6140 phase=C_full_covt +[Dataset] cur_step=6140 phase=C_full_covt +[Dataset] cur_step=6140 phase=C_full_covt +[Dataset] cur_step=6140 phase=C_full_covt +[Dataset] cur_step=6140 phase=C_full_covt +[Dataset] cur_step=6140 phase=C_full_covt +[Dataset] cur_step=6140 phase=C_full_covt + 68%|████████████████████▍ | 6140/9000 [4:50:38<3:45:53, 4.74s/it] {'loss': '3.088', 'grad_norm': '4.043', 'learning_rate': '1.258e-05', 'epoch': '0.2209'} + 68%|████████████████████▍ | 6140/9000 [4:50:38<3:45:53, 4.74s/it] {'lm_loss': '0.9007', 'visual_loss': '2.827', 'seg_loss': '0.6531', 'dino_loss': '0.8816', 'depth_loss': '0.2032', 'vggt_mse_loss': '0.2018', 'vggt_cos_loss': '0.01362', 'pidinet_loss': '0.2782', 'siglip_loss': '0.8111', 'epoch': '0.2209'} + 68%|████████████████████▍ | 6140/9000 [4:50:41<3:45:53, 4.74s/it][Dataset] cur_step=6141 phase=C_full_covt +[Dataset] cur_step=6141 phase=C_full_covt[Dataset] cur_step=6141 phase=C_full_covt +[Dataset] cur_step=6141 phase=C_full_covt + + 68%|████████████████████▍ | 6141/9000 [4:50:42<3:36:45, 4.55s/it][Dataset] cur_step=6141 phase=C_full_covt +[Dataset] cur_step=6141 phase=C_full_covt +[Dataset] cur_step=6141 phase=C_full_covt +[Dataset] cur_step=6141 phase=C_full_covt + {'loss': '3.164', 'grad_norm': '3.361', 'learning_rate': '1.257e-05', 'epoch': '0.2209'} + 68%|████████████████████▍ | 6141/9000 [4:50:42<3:36:45, 4.55s/it] {'lm_loss': '0.3922', 'visual_loss': '2.598', 'seg_loss': '0.7537', 'dino_loss': '0.9213', 'depth_loss': '0.1815', 'vggt_mse_loss': '0.1804', 'vggt_cos_loss': '0.01093', 'pidinet_loss': '0.2295', 'siglip_loss': '0.5117', 'epoch': '0.2209'} + 68%|████████████████████▍ | 6141/9000 [4:50:45<3:36:45, 4.55s/it][Dataset] cur_step=6142 phase=C_full_covt +[Dataset] cur_step=6142 phase=C_full_covt[Dataset] cur_step=6142 phase=C_full_covt + +[Dataset] cur_step=6142 phase=C_full_covt +[Dataset] cur_step=6142 phase=C_full_covt +[Dataset] cur_step=6142 phase=C_full_covt 68%|████████████████████▍ | 6142/9000 [4:50:46<3:29:02, 4.39s/it] +[Dataset] cur_step=6142 phase=C_full_covt +[Dataset] cur_step=6142 phase=C_full_covt + {'loss': '3.186', 'grad_norm': '3.955', 'learning_rate': '1.256e-05', 'epoch': '0.221'} + 68%|████████████████████▍ | 6142/9000 [4:50:46<3:29:02, 4.39s/it] {'lm_loss': '0.6198', 'visual_loss': '2.977', 'seg_loss': '0.806', 'dino_loss': '0.8678', 'depth_loss': '0.2134', 'vggt_mse_loss': '0.2119', 'vggt_cos_loss': '0.01465', 'pidinet_loss': '0.2523', 'siglip_loss': '0.8377', 'epoch': '0.221'} + 68%|████████████████████▍ | 6142/9000 [4:50:49<3:29:02, 4.39s/it][Dataset] cur_step=6143 phase=C_full_covt +[Dataset] cur_step=6143 phase=C_full_covt[Dataset] cur_step=6143 phase=C_full_covt[Dataset] cur_step=6143 phase=C_full_covt + + + 68%|████████████████████▍ | 6143/9000 [4:50:50<3:23:46, 4.28s/it][Dataset] cur_step=6143 phase=C_full_covt +[Dataset] cur_step=6143 phase=C_full_covt +[Dataset] cur_step=6143 phase=C_full_covt +[Dataset] cur_step=6143 phase=C_full_covt + {'loss': '3.224', 'grad_norm': '1.948', 'learning_rate': '1.256e-05', 'epoch': '0.221'} + 68%|████████████████████▍ | 6143/9000 [4:50:50<3:23:46, 4.28s/it] {'lm_loss': '0.5674', 'visual_loss': '3.063', 'seg_loss': '0.8016', 'dino_loss': '0.8978', 'depth_loss': '0.2694', 'vggt_mse_loss': '0.2676', 'vggt_cos_loss': '0.01857', 'pidinet_loss': '0.2899', 'siglip_loss': '0.8044', 'epoch': '0.221'} + 68%|████████████████████▍ | 6143/9000 [4:50:53<3:23:46, 4.28s/it][Dataset] cur_step=6144 phase=C_full_covt +[Dataset] cur_step=6144 phase=C_full_covt +[Dataset] cur_step=6144 phase=C_full_covt[Dataset] cur_step=6144 phase=C_full_covt + +[Dataset] cur_step=6144 phase=C_full_covt +[Dataset] cur_step=6144 phase=C_full_covt[Dataset] cur_step=6144 phase=C_full_covt + + 68%|████████████████████▍ | 6144/9000 [4:50:54<3:15:01, 4.10s/it][Dataset] cur_step=6144 phase=C_full_covt + {'loss': '3.509', 'grad_norm': '1.811', 'learning_rate': '1.255e-05', 'epoch': '0.221'} + 68%|████████████████████▍ | 6144/9000 [4:50:54<3:15:01, 4.10s/it] {'lm_loss': '0.5741', 'visual_loss': '2.726', 'seg_loss': '0.6911', 'dino_loss': '0.9237', 'depth_loss': '0.2151', 'vggt_mse_loss': '0.2137', 'vggt_cos_loss': '0.01444', 'pidinet_loss': '0.2687', 'siglip_loss': '0.6269', 'epoch': '0.221'} + 68%|████████████████████▍ | 6144/9000 [4:50:57<3:15:01, 4.10s/it][Dataset] cur_step=6145 phase=C_full_covt +[Dataset] cur_step=6145 phase=C_full_covt + 68%|████████████████████▍ | 6145/9000 [4:50:57<3:08:23, 3.96s/it][Dataset] cur_step=6145 phase=C_full_covt[Dataset] cur_step=6145 phase=C_full_covt + +[Dataset] cur_step=6145 phase=C_full_covt +[Dataset] cur_step=6145 phase=C_full_covt +[Dataset] cur_step=6145 phase=C_full_covt +[Dataset] cur_step=6145 phase=C_full_covt + {'loss': '3.016', 'grad_norm': '2.345', 'learning_rate': '1.254e-05', 'epoch': '0.2211'} + 68%|████████████████████▍ | 6145/9000 [4:50:57<3:08:23, 3.96s/it] {'lm_loss': '0.3603', 'visual_loss': '2.381', 'seg_loss': '0.5168', 'dino_loss': '0.8994', 'depth_loss': '0.2182', 'vggt_mse_loss': '0.2169', 'vggt_cos_loss': '0.01295', 'pidinet_loss': '0.2391', 'siglip_loss': '0.5074', 'epoch': '0.2211'} + 68%|████████████████████▍ | 6145/9000 [4:51:01<3:08:23, 3.96s/it][Dataset] cur_step=6146 phase=C_full_covt +[Dataset] cur_step=6146 phase=C_full_covt + 68%|████████████████████▍ | 6146/9000 [4:51:03<3:35:33, 4.53s/it][Dataset] cur_step=6146 phase=C_full_covt[Dataset] cur_step=6146 phase=C_full_covt + +[Dataset] cur_step=6146 phase=C_full_covt +[Dataset] cur_step=6146 phase=C_full_covt +[Dataset] cur_step=6146 phase=C_full_covt +[Dataset] cur_step=6146 phase=C_full_covt + {'loss': '3.103', 'grad_norm': '1.719', 'learning_rate': '1.253e-05', 'epoch': '0.2211'} + 68%|████████████████████▍ | 6146/9000 [4:51:03<3:35:33, 4.53s/it] {'lm_loss': '0.5436', 'visual_loss': '2.896', 'seg_loss': '0.7619', 'dino_loss': '0.9047', 'depth_loss': '0.3515', 'vggt_mse_loss': '0.349', 'vggt_cos_loss': '0.02487', 'pidinet_loss': '0.2004', 'siglip_loss': '0.6779', 'epoch': '0.2211'} + 68%|████████████████████▍ | 6146/9000 [4:51:06<3:35:33, 4.53s/it][Dataset] cur_step=6147 phase=C_full_covt[Dataset] cur_step=6147 phase=C_full_covt[Dataset] cur_step=6147 phase=C_full_covt + + + 68%|████████████████████▍ | 6147/9000 [4:51:07<3:24:08, 4.29s/it][Dataset] cur_step=6147 phase=C_full_covt +[Dataset] cur_step=6147 phase=C_full_covt[Dataset] cur_step=6147 phase=C_full_covt + +[Dataset] cur_step=6147 phase=C_full_covt[Dataset] cur_step=6147 phase=C_full_covt + + {'loss': '3.127', 'grad_norm': '2.26', 'learning_rate': '1.252e-05', 'epoch': '0.2211'} + 68%|████████████████████▍ | 6147/9000 [4:51:07<3:24:08, 4.29s/it] {'lm_loss': '0.3046', 'visual_loss': '2.694', 'seg_loss': '0.6513', 'dino_loss': '0.9298', 'depth_loss': '0.2579', 'vggt_mse_loss': '0.2558', 'vggt_cos_loss': '0.02024', 'pidinet_loss': '0.2014', 'siglip_loss': '0.6538', 'epoch': '0.2211'} + 68%|████████████████████▍ | 6147/9000 [4:51:11<3:24:08, 4.29s/it][Dataset] cur_step=6148 phase=C_full_covt[Dataset] cur_step=6148 phase=C_full_covt + + 68%|████████████████████▍ | 6148/9000 [4:51:11<3:21:12, 4.23s/it][Dataset] cur_step=6148 phase=C_full_covt +[Dataset] cur_step=6148 phase=C_full_covt +[Dataset] cur_step=6148 phase=C_full_covt[Dataset] cur_step=6148 phase=C_full_covt + +[Dataset] cur_step=6148 phase=C_full_covt +[Dataset] cur_step=6148 phase=C_full_covt + {'loss': '3.015', 'grad_norm': '2.356', 'learning_rate': '1.252e-05', 'epoch': '0.2212'} + 68%|████████████████████▍ | 6148/9000 [4:51:11<3:21:12, 4.23s/it] {'lm_loss': '0.3243', 'visual_loss': '2.675', 'seg_loss': '0.6727', 'dino_loss': '0.941', 'depth_loss': '0.1705', 'vggt_mse_loss': '0.1693', 'vggt_cos_loss': '0.01236', 'pidinet_loss': '0.1696', 'siglip_loss': '0.7212', 'epoch': '0.2212'} + 68%|████████████████████▍ | 6148/9000 [4:51:15<3:21:12, 4.23s/it][Dataset] cur_step=6149 phase=C_full_covt +[Dataset] cur_step=6149 phase=C_full_covt + 68%|████████████████████▍ | 6149/9000 [4:51:17<3:53:05, 4.91s/it][Dataset] cur_step=6149 phase=C_full_covt +[Dataset] cur_step=6149 phase=C_full_covt[Dataset] cur_step=6149 phase=C_full_covt + +[Dataset] cur_step=6149 phase=C_full_covt +[Dataset] cur_step=6149 phase=C_full_covt +[Dataset] cur_step=6149 phase=C_full_covt + {'loss': '3.112', 'grad_norm': '5.022', 'learning_rate': '1.251e-05', 'epoch': '0.2212'} + 68%|████████████████████▍ | 6149/9000 [4:51:17<3:53:05, 4.91s/it] {'lm_loss': '0.4677', 'visual_loss': '2.837', 'seg_loss': '0.7668', 'dino_loss': '0.9021', 'depth_loss': '0.3444', 'vggt_mse_loss': '0.3423', 'vggt_cos_loss': '0.02078', 'pidinet_loss': '0.2615', 'siglip_loss': '0.5623', 'epoch': '0.2212'} + 68%|████████████████████▍ | 6149/9000 [4:51:20<3:53:05, 4.91s/it][Dataset] cur_step=6150 phase=C_full_covt +[Dataset] cur_step=6150 phase=C_full_covt +[Dataset] cur_step=6150 phase=C_full_covt +[Dataset] cur_step=6150 phase=C_full_covt +[Dataset] cur_step=6150 phase=C_full_covt + 68%|████████████████████▌ | 6150/9000 [4:51:21<3:36:17, 4.55s/it][Dataset] cur_step=6150 phase=C_full_covt[Dataset] cur_step=6150 phase=C_full_covt + +[Dataset] cur_step=6150 phase=C_full_covt + {'loss': '3.272', 'grad_norm': '2.109', 'learning_rate': '1.25e-05', 'epoch': '0.2212'} + 68%|████████████████████▌ | 6150/9000 [4:51:21<3:36:17, 4.55s/it] {'lm_loss': '0.1763', 'visual_loss': '2.477', 'seg_loss': '0.6603', 'dino_loss': '0.8973', 'depth_loss': '0.1669', 'vggt_mse_loss': '0.1657', 'vggt_cos_loss': '0.01265', 'pidinet_loss': '0.2258', 'siglip_loss': '0.5265', 'epoch': '0.2212'} + 68%|████████████████████▌ | 6150/9000 [4:51:24<3:36:17, 4.55s/it][Dataset] cur_step=6151 phase=C_full_covt +[Dataset] cur_step=6151 phase=C_full_covt +[Dataset] cur_step=6151 phase=C_full_covt + 68%|████████████████████▌ | 6151/9000 [4:51:25<3:27:22, 4.37s/it][Dataset] cur_step=6151 phase=C_full_covt[Dataset] cur_step=6151 phase=C_full_covt + +[Dataset] cur_step=6151 phase=C_full_covt +[Dataset] cur_step=6151 phase=C_full_covt +[Dataset] cur_step=6151 phase=C_full_covt + {'loss': '3.062', 'grad_norm': '1.483', 'learning_rate': '1.249e-05', 'epoch': '0.2213'} + 68%|████████████████████▌ | 6151/9000 [4:51:25<3:27:22, 4.37s/it] {'lm_loss': '0.0007992', 'visual_loss': '2.14', 'seg_loss': '0.5461', 'dino_loss': '0.8658', 'depth_loss': '0.2538', 'vggt_mse_loss': '0.2521', 'vggt_cos_loss': '0.01694', 'pidinet_loss': '0.1412', 'siglip_loss': '0.3326', 'epoch': '0.2213'} + 68%|████████████████████▌ | 6151/9000 [4:51:29<3:27:22, 4.37s/it][Dataset] cur_step=6152 phase=C_full_covt + 68%|████████████████████▌ | 6152/9000 [4:51:29<3:25:00, 4.32s/it][Dataset] cur_step=6152 phase=C_full_covt[Dataset] cur_step=6152 phase=C_full_covt + +[Dataset] cur_step=6152 phase=C_full_covt +[Dataset] cur_step=6152 phase=C_full_covt +[Dataset] cur_step=6152 phase=C_full_covt +[Dataset] cur_step=6152 phase=C_full_covt +[Dataset] cur_step=6152 phase=C_full_covt + {'loss': '2.901', 'grad_norm': '4.616', 'learning_rate': '1.248e-05', 'epoch': '0.2213'} + 68%|████████████████████▌ | 6152/9000 [4:51:29<3:25:00, 4.32s/it] {'lm_loss': '0.523', 'visual_loss': '2.712', 'seg_loss': '0.8301', 'dino_loss': '0.9226', 'depth_loss': '0.2929', 'vggt_mse_loss': '0.2907', 'vggt_cos_loss': '0.02169', 'pidinet_loss': '0.2076', 'siglip_loss': '0.4591', 'epoch': '0.2213'} + 68%|████████████████████▌ | 6152/9000 [4:51:32<3:25:00, 4.32s/it][Dataset] cur_step=6153 phase=C_full_covt +[Dataset] cur_step=6153 phase=C_full_covt +[Dataset] cur_step=6153 phase=C_full_covt[Dataset] cur_step=6153 phase=C_full_covt + + 68%|████████████████████▌ | 6153/9000 [4:51:36<3:52:41, 4.90s/it][Dataset] cur_step=6153 phase=C_full_covt +[Dataset] cur_step=6153 phase=C_full_covt +[Dataset] cur_step=6153 phase=C_full_covt +[Dataset] cur_step=6153 phase=C_full_covt + {'loss': '2.989', 'grad_norm': '2.39', 'learning_rate': '1.248e-05', 'epoch': '0.2214'} + 68%|████████████████████▌ | 6153/9000 [4:51:36<3:52:41, 4.90s/it] {'lm_loss': '0.2768', 'visual_loss': '2.799', 'seg_loss': '0.765', 'dino_loss': '0.9172', 'depth_loss': '0.2592', 'vggt_mse_loss': '0.2579', 'vggt_cos_loss': '0.01376', 'pidinet_loss': '0.2495', 'siglip_loss': '0.6086', 'epoch': '0.2214'} + 68%|████████████████████▌ | 6153/9000 [4:51:39<3:52:41, 4.90s/it][Dataset] cur_step=6154 phase=C_full_covt + 68%|████████████████████▌ | 6154/9000 [4:51:39<3:36:42, 4.57s/it][Dataset] cur_step=6154 phase=C_full_covt[Dataset] cur_step=6154 phase=C_full_covt +[Dataset] cur_step=6154 phase=C_full_covt + +[Dataset] cur_step=6154 phase=C_full_covt +[Dataset] cur_step=6154 phase=C_full_covt +[Dataset] cur_step=6154 phase=C_full_covt +[Dataset] cur_step=6154 phase=C_full_covt + {'loss': '3.029', 'grad_norm': '2.099', 'learning_rate': '1.247e-05', 'epoch': '0.2214'} + 68%|████████████████████▌ | 6154/9000 [4:51:39<3:36:42, 4.57s/it] {'lm_loss': '0.74', 'visual_loss': '2.244', 'seg_loss': '0.5919', 'dino_loss': '0.9277', 'depth_loss': '0.2373', 'vggt_mse_loss': '0.2359', 'vggt_cos_loss': '0.01423', 'pidinet_loss': '0.1846', 'siglip_loss': '0.3028', 'epoch': '0.2214'} + 68%|████████████████████▌ | 6154/9000 [4:51:43<3:36:42, 4.57s/it][Dataset] cur_step=6155 phase=C_full_covt +[Dataset] cur_step=6155 phase=C_full_covt +[Dataset] cur_step=6155 phase=C_full_covt +[Dataset] cur_step=6155 phase=C_full_covt +[Dataset] cur_step=6155 phase=C_full_covt +[Dataset] cur_step=6155 phase=C_full_covt +[Dataset] cur_step=6155 phase=C_full_covt +[Dataset] cur_step=6155 phase=C_full_covt + 68%|████████████████████▌ | 6155/9000 [4:51:43<3:29:48, 4.42s/it] {'loss': '3.193', 'grad_norm': '1.965', 'learning_rate': '1.246e-05', 'epoch': '0.2214'} + 68%|████████████████████▌ | 6155/9000 [4:51:44<3:29:48, 4.42s/it] {'lm_loss': '0.293', 'visual_loss': '2.543', 'seg_loss': '0.5696', 'dino_loss': '0.9125', 'depth_loss': '0.2345', 'vggt_mse_loss': '0.2332', 'vggt_cos_loss': '0.01352', 'pidinet_loss': '0.2155', 'siglip_loss': '0.6111', 'epoch': '0.2214'} + 68%|████████████████████▌ | 6155/9000 [4:51:47<3:29:48, 4.42s/it][Dataset] cur_step=6156 phase=C_full_covt + 68%|████████████████████▌ | 6156/9000 [4:51:48<3:25:38, 4.34s/it][Dataset] cur_step=6156 phase=C_full_covt +[Dataset] cur_step=6156 phase=C_full_covt +[Dataset] cur_step=6156 phase=C_full_covt[Dataset] cur_step=6156 phase=C_full_covt + +[Dataset] cur_step=6156 phase=C_full_covt +[Dataset] cur_step=6156 phase=C_full_covt +[Dataset] cur_step=6156 phase=C_full_covt + {'loss': '2.996', 'grad_norm': '1.626', 'learning_rate': '1.245e-05', 'epoch': '0.2215'} + 68%|████████████████████▌ | 6156/9000 [4:51:48<3:25:38, 4.34s/it] {'lm_loss': '0.6782', 'visual_loss': '2.625', 'seg_loss': '0.6872', 'dino_loss': '0.9087', 'depth_loss': '0.211', 'vggt_mse_loss': '0.2095', 'vggt_cos_loss': '0.01517', 'pidinet_loss': '0.237', 'siglip_loss': '0.5807', 'epoch': '0.2215'} + 68%|████████████████████▌ | 6156/9000 [4:51:51<3:25:38, 4.34s/it][Dataset] cur_step=6157 phase=C_full_covt[Dataset] cur_step=6157 phase=C_full_covt + + 68%|████████████████████▌ | 6157/9000 [4:51:52<3:20:58, 4.24s/it][Dataset] cur_step=6157 phase=C_full_covt +[Dataset] cur_step=6157 phase=C_full_covt +[Dataset] cur_step=6157 phase=C_full_covt +[Dataset] cur_step=6157 phase=C_full_covt +[Dataset] cur_step=6157 phase=C_full_covt[Dataset] cur_step=6157 phase=C_full_covt + + {'loss': '3.206', 'grad_norm': '2.983', 'learning_rate': '1.244e-05', 'epoch': '0.2215'} + 68%|████████████████████▌ | 6157/9000 [4:51:52<3:20:58, 4.24s/it] {'lm_loss': '0.5803', 'visual_loss': '2.707', 'seg_loss': '0.7267', 'dino_loss': '0.92', 'depth_loss': '0.2819', 'vggt_mse_loss': '0.2798', 'vggt_cos_loss': '0.02083', 'pidinet_loss': '0.2205', 'siglip_loss': '0.5579', 'epoch': '0.2215'} + 68%|████████████████████▌ | 6157/9000 [4:51:55<3:20:58, 4.24s/it][Dataset] cur_step=6158 phase=C_full_covt +[Dataset] cur_step=6158 phase=C_full_covt +[Dataset] cur_step=6158 phase=C_full_covt +[Dataset] cur_step=6158 phase=C_full_covt +[Dataset] cur_step=6158 phase=C_full_covt + 68%|████████████████████▌ | 6158/9000 [4:51:55<3:15:12, 4.12s/it][Dataset] cur_step=6158 phase=C_full_covt +[Dataset] cur_step=6158 phase=C_full_covt[Dataset] cur_step=6158 phase=C_full_covt + + {'loss': '3.083', 'grad_norm': '1.911', 'learning_rate': '1.244e-05', 'epoch': '0.2215'} + 68%|████████████████████▌ | 6158/9000 [4:51:55<3:15:12, 4.12s/it] {'lm_loss': '0.4975', 'visual_loss': '2.959', 'seg_loss': '0.7024', 'dino_loss': '0.9209', 'depth_loss': '0.2406', 'vggt_mse_loss': '0.2389', 'vggt_cos_loss': '0.01736', 'pidinet_loss': '0.2466', 'siglip_loss': '0.8488', 'epoch': '0.2215'} + 68%|████████████████████▌ | 6158/9000 [4:51:59<3:15:12, 4.12s/it][Dataset] cur_step=6159 phase=C_full_covt +[Dataset] cur_step=6159 phase=C_full_covt[Dataset] cur_step=6159 phase=C_full_covt + +[Dataset] cur_step=6159 phase=C_full_covt +[Dataset] cur_step=6159 phase=C_full_covt 68%|████████████████████▌ | 6159/9000 [4:51:59<3:12:36, 4.07s/it] +[Dataset] cur_step=6159 phase=C_full_covt +[Dataset] cur_step=6159 phase=C_full_covt +[Dataset] cur_step=6159 phase=C_full_covt + {'loss': '3.078', 'grad_norm': '2.026', 'learning_rate': '1.243e-05', 'epoch': '0.2216'} + 68%|████████████████████▌ | 6159/9000 [4:51:59<3:12:36, 4.07s/it] {'lm_loss': '0.7336', 'visual_loss': '2.49', 'seg_loss': '0.7523', 'dino_loss': '0.8999', 'depth_loss': '0.1896', 'vggt_mse_loss': '0.1884', 'vggt_cos_loss': '0.01202', 'pidinet_loss': '0.1549', 'siglip_loss': '0.4929', 'epoch': '0.2216'} + 68%|████████████████████▌ | 6159/9000 [4:52:03<3:12:36, 4.07s/it][Dataset] cur_step=6160 phase=C_full_covt[Dataset] cur_step=6160 phase=C_full_covt + +[Dataset] cur_step=6160 phase=C_full_covt +[Dataset] cur_step=6160 phase=C_full_covt +[Dataset] cur_step=6160 phase=C_full_covt[Dataset] cur_step=6160 phase=C_full_covt + + 68%|████████████████████▌ | 6160/9000 [4:52:03<3:07:08, 3.95s/it][Dataset] cur_step=6160 phase=C_full_covt +[Dataset] cur_step=6160 phase=C_full_covt + {'loss': '3.104', 'grad_norm': '5.181', 'learning_rate': '1.242e-05', 'epoch': '0.2216'} + 68%|████████████████████▌ | 6160/9000 [4:52:03<3:07:08, 3.95s/it] {'lm_loss': '0.6759', 'visual_loss': '2.795', 'seg_loss': '0.801', 'dino_loss': '0.9357', 'depth_loss': '0.3091', 'vggt_mse_loss': '0.3065', 'vggt_cos_loss': '0.02595', 'pidinet_loss': '0.2059', 'siglip_loss': '0.5434', 'epoch': '0.2216'} + 68%|████████████████████▌ | 6160/9000 [4:52:06<3:07:08, 3.95s/it][Dataset] cur_step=6161 phase=C_full_covt +[Dataset] cur_step=6161 phase=C_full_covt[Dataset] cur_step=6161 phase=C_full_covt +[Dataset] cur_step=6161 phase=C_full_covt + + 68%|████████████████████▌ | 6161/9000 [4:52:07<3:04:54, 3.91s/it][Dataset] cur_step=6161 phase=C_full_covt[Dataset] cur_step=6161 phase=C_full_covt[Dataset] cur_step=6161 phase=C_full_covt + + +[Dataset] cur_step=6161 phase=C_full_covt + {'loss': '3.042', 'grad_norm': '2.984', 'learning_rate': '1.241e-05', 'epoch': '0.2216'} + 68%|████████████████████▌ | 6161/9000 [4:52:07<3:04:54, 3.91s/it] {'lm_loss': '0.08065', 'visual_loss': '2.952', 'seg_loss': '0.7976', 'dino_loss': '0.9169', 'depth_loss': '0.2602', 'vggt_mse_loss': '0.2582', 'vggt_cos_loss': '0.0196', 'pidinet_loss': '0.2644', 'siglip_loss': '0.713', 'epoch': '0.2216'} + 68%|████████████████████▌ | 6161/9000 [4:52:10<3:04:54, 3.91s/it][Dataset] cur_step=6162 phase=C_full_covt +[Dataset] cur_step=6162 phase=C_full_covt[Dataset] cur_step=6162 phase=C_full_covt + +[Dataset] cur_step=6162 phase=C_full_covt[Dataset] cur_step=6162 phase=C_full_covt[Dataset] cur_step=6162 phase=C_full_covt 68%|████████████████████▌ | 6162/9000 [4:52:13<3:34:43, 4.54s/it] + + +[Dataset] cur_step=6162 phase=C_full_covt +[Dataset] cur_step=6162 phase=C_full_covt + {'loss': '2.824', 'grad_norm': '1.928', 'learning_rate': '1.24e-05', 'epoch': '0.2217'} + 68%|████████████████████▌ | 6162/9000 [4:52:13<3:34:43, 4.54s/it] {'lm_loss': '0.5118', 'visual_loss': '2.77', 'seg_loss': '0.72', 'dino_loss': '0.9033', 'depth_loss': '0.254', 'vggt_mse_loss': '0.2519', 'vggt_cos_loss': '0.02118', 'pidinet_loss': '0.2484', 'siglip_loss': '0.6444', 'epoch': '0.2217'} + 68%|████████████████████▌ | 6162/9000 [4:52:16<3:34:43, 4.54s/it][Dataset] cur_step=6163 phase=C_full_covt + 68%|████████████████████▌ | 6163/9000 [4:52:17<3:26:02, 4.36s/it][Dataset] cur_step=6163 phase=C_full_covt[Dataset] cur_step=6163 phase=C_full_covt + +[Dataset] cur_step=6163 phase=C_full_covt[Dataset] cur_step=6163 phase=C_full_covt + +[Dataset] cur_step=6163 phase=C_full_covt[Dataset] cur_step=6163 phase=C_full_covt + +[Dataset] cur_step=6163 phase=C_full_covt + {'loss': '2.942', 'grad_norm': '1.949', 'learning_rate': '1.24e-05', 'epoch': '0.2217'} + 68%|████████████████████▌ | 6163/9000 [4:52:17<3:26:02, 4.36s/it] {'lm_loss': '0.304', 'visual_loss': '2.742', 'seg_loss': '0.7262', 'dino_loss': '0.9174', 'depth_loss': '0.2429', 'vggt_mse_loss': '0.2412', 'vggt_cos_loss': '0.01714', 'pidinet_loss': '0.2408', 'siglip_loss': '0.6144', 'epoch': '0.2217'} + 68%|████████████████████▌ | 6163/9000 [4:52:20<3:26:02, 4.36s/it][Dataset] cur_step=6164 phase=C_full_covt +[Dataset] cur_step=6164 phase=C_full_covt +[Dataset] cur_step=6164 phase=C_full_covt + 68%|████████████████████▌ | 6164/9000 [4:52:21<3:20:06, 4.23s/it][Dataset] cur_step=6164 phase=C_full_covt +[Dataset] cur_step=6164 phase=C_full_covt[Dataset] cur_step=6164 phase=C_full_covt + +[Dataset] cur_step=6164 phase=C_full_covt +[Dataset] cur_step=6164 phase=C_full_covt + {'loss': '2.997', 'grad_norm': '2.192', 'learning_rate': '1.239e-05', 'epoch': '0.2218'} + 68%|████████████████████▌ | 6164/9000 [4:52:21<3:20:06, 4.23s/it] {'lm_loss': '0.5997', 'visual_loss': '2.5', 'seg_loss': '0.7212', 'dino_loss': '0.8991', 'depth_loss': '0.1977', 'vggt_mse_loss': '0.1965', 'vggt_cos_loss': '0.01213', 'pidinet_loss': '0.2459', 'siglip_loss': '0.4356', 'epoch': '0.2218'} + 68%|████████████████████▌ | 6164/9000 [4:52:24<3:20:06, 4.23s/it][Dataset] cur_step=6165 phase=C_full_covt +[Dataset] cur_step=6165 phase=C_full_covt +[Dataset] cur_step=6165 phase=C_full_covt +[Dataset] cur_step=6165 phase=C_full_covt +[Dataset] cur_step=6165 phase=C_full_covt +[Dataset] cur_step=6165 phase=C_full_covt +[Dataset] cur_step=6165 phase=C_full_covt +[Dataset] cur_step=6165 phase=C_full_covt + 68%|████████████████████▌ | 6165/9000 [4:52:25<3:18:40, 4.20s/it] {'loss': '2.966', 'grad_norm': '1.425', 'learning_rate': '1.238e-05', 'epoch': '0.2218'} + 68%|████████████████████▌ | 6165/9000 [4:52:25<3:18:40, 4.20s/it] {'lm_loss': '0.4587', 'visual_loss': '2.252', 'seg_loss': '0.7037', 'dino_loss': '0.8828', 'depth_loss': '0.1898', 'vggt_mse_loss': '0.1889', 'vggt_cos_loss': '0.00908', 'pidinet_loss': '0.1741', 'siglip_loss': '0.3019', 'epoch': '0.2218'} + 68%|████████████████████▌ | 6165/9000 [4:52:28<3:18:40, 4.20s/it][Dataset] cur_step=6166 phase=C_full_covt[Dataset] cur_step=6166 phase=C_full_covt + + 69%|████████████████████▌ | 6166/9000 [4:52:29<3:16:06, 4.15s/it][Dataset] cur_step=6166 phase=C_full_covt[Dataset] cur_step=6166 phase=C_full_covt + +[Dataset] cur_step=6166 phase=C_full_covt +[Dataset] cur_step=6166 phase=C_full_covt +[Dataset] cur_step=6166 phase=C_full_covt +[Dataset] cur_step=6166 phase=C_full_covt + {'loss': '3.136', 'grad_norm': '4.422', 'learning_rate': '1.237e-05', 'epoch': '0.2218'} + 69%|████████████████████▌ | 6166/9000 [4:52:29<3:16:06, 4.15s/it] {'lm_loss': '0.6633', 'visual_loss': '2.561', 'seg_loss': '0.6939', 'dino_loss': '0.9013', 'depth_loss': '0.2092', 'vggt_mse_loss': '0.2077', 'vggt_cos_loss': '0.01514', 'pidinet_loss': '0.2402', 'siglip_loss': '0.5163', 'epoch': '0.2218'} + 69%|████████████████████▌ | 6166/9000 [4:52:32<3:16:06, 4.15s/it][Dataset] cur_step=6167 phase=C_full_covt +[Dataset] cur_step=6167 phase=C_full_covt + 69%|████████████████████▌ | 6167/9000 [4:52:33<3:11:04, 4.05s/it][Dataset] cur_step=6167 phase=C_full_covt +[Dataset] cur_step=6167 phase=C_full_covt[Dataset] cur_step=6167 phase=C_full_covt + +[Dataset] cur_step=6167 phase=C_full_covt +[Dataset] cur_step=6167 phase=C_full_covt +[Dataset] cur_step=6167 phase=C_full_covt + {'loss': '2.906', 'grad_norm': '1.376', 'learning_rate': '1.237e-05', 'epoch': '0.2219'} + 69%|████████████████████▌ | 6167/9000 [4:52:33<3:11:04, 4.05s/it] {'lm_loss': '0.005772', 'visual_loss': '2.543', 'seg_loss': '0.7306', 'dino_loss': '0.9048', 'depth_loss': '0.2168', 'vggt_mse_loss': '0.2154', 'vggt_cos_loss': '0.01404', 'pidinet_loss': '0.2392', 'siglip_loss': '0.4512', 'epoch': '0.2219'} + 69%|████████████████████▌ | 6167/9000 [4:52:36<3:11:04, 4.05s/it][Dataset] cur_step=6168 phase=C_full_covt +[Dataset] cur_step=6168 phase=C_full_covt +[Dataset] cur_step=6168 phase=C_full_covt +[Dataset] cur_step=6168 phase=C_full_covt + 69%|████████████████████▌ | 6168/9000 [4:52:37<3:14:19, 4.12s/it][Dataset] cur_step=6168 phase=C_full_covt +[Dataset] cur_step=6168 phase=C_full_covt +[Dataset] cur_step=6168 phase=C_full_covt +[Dataset] cur_step=6168 phase=C_full_covt + {'loss': '2.991', 'grad_norm': '2.585', 'learning_rate': '1.236e-05', 'epoch': '0.2219'} + 69%|████████████████████▌ | 6168/9000 [4:52:37<3:14:19, 4.12s/it] {'lm_loss': '0.384', 'visual_loss': '2.423', 'seg_loss': '0.6824', 'dino_loss': '0.9182', 'depth_loss': '0.2304', 'vggt_mse_loss': '0.2291', 'vggt_cos_loss': '0.01312', 'pidinet_loss': '0.1933', 'siglip_loss': '0.3988', 'epoch': '0.2219'} + 69%|████████████████████▌ | 6168/9000 [4:52:40<3:14:19, 4.12s/it][Dataset] cur_step=6169 phase=C_full_covt[Dataset] cur_step=6169 phase=C_full_covt[Dataset] cur_step=6169 phase=C_full_covt + + +[Dataset] cur_step=6169 phase=C_full_covt[Dataset] cur_step=6169 phase=C_full_covt +[Dataset] cur_step=6169 phase=C_full_covt + +[Dataset] cur_step=6169 phase=C_full_covt[Dataset] cur_step=6169 phase=C_full_covt + + 69%|████████████████████▌ | 6169/9000 [4:52:41<3:15:51, 4.15s/it] {'loss': '3.082', 'grad_norm': '3.657', 'learning_rate': '1.235e-05', 'epoch': '0.2219'} + 69%|████████████████████▌ | 6169/9000 [4:52:41<3:15:51, 4.15s/it] {'lm_loss': '0.3525', 'visual_loss': '2.685', 'seg_loss': '0.7452', 'dino_loss': '0.8846', 'depth_loss': '0.2929', 'vggt_mse_loss': '0.2911', 'vggt_cos_loss': '0.018', 'pidinet_loss': '0.2226', 'siglip_loss': '0.5401', 'epoch': '0.2219'} + 69%|████████████████████▌ | 6169/9000 [4:52:45<3:15:51, 4.15s/it][Dataset] cur_step=6170 phase=C_full_covt +[Dataset] cur_step=6170 phase=C_full_covt +[Dataset] cur_step=6170 phase=C_full_covt 69%|████████████████████▌ | 6170/9000 [4:52:45<3:13:02, 4.09s/it] +[Dataset] cur_step=6170 phase=C_full_covt[Dataset] cur_step=6170 phase=C_full_covt + +[Dataset] cur_step=6170 phase=C_full_covt +[Dataset] cur_step=6170 phase=C_full_covt +[Dataset] cur_step=6170 phase=C_full_covt + {'loss': '3.022', 'grad_norm': '2.072', 'learning_rate': '1.234e-05', 'epoch': '0.222'} + 69%|████████████████████▌ | 6170/9000 [4:52:45<3:13:02, 4.09s/it] {'lm_loss': '0.5576', 'visual_loss': '2.708', 'seg_loss': '0.7664', 'dino_loss': '0.9421', 'depth_loss': '0.3241', 'vggt_mse_loss': '0.3214', 'vggt_cos_loss': '0.02645', 'pidinet_loss': '0.2353', 'siglip_loss': '0.4399', 'epoch': '0.222'} + 69%|████████████████████▌ | 6170/9000 [4:52:48<3:13:02, 4.09s/it][Dataset] cur_step=6171 phase=C_full_covt +[Dataset] cur_step=6171 phase=C_full_covt +[Dataset] cur_step=6171 phase=C_full_covt +[Dataset] cur_step=6171 phase=C_full_covt +[Dataset] cur_step=6171 phase=C_full_covt + 69%|████████████████████▌ | 6171/9000 [4:52:49<3:11:45, 4.07s/it][Dataset] cur_step=6171 phase=C_full_covt[Dataset] cur_step=6171 phase=C_full_covt +[Dataset] cur_step=6171 phase=C_full_covt + + {'loss': '3.153', 'grad_norm': '2.424', 'learning_rate': '1.233e-05', 'epoch': '0.222'} + 69%|████████████████████▌ | 6171/9000 [4:52:49<3:11:45, 4.07s/it] {'lm_loss': '0.009299', 'visual_loss': '2.648', 'seg_loss': '0.7633', 'dino_loss': '0.9268', 'depth_loss': '0.2127', 'vggt_mse_loss': '0.2112', 'vggt_cos_loss': '0.01501', 'pidinet_loss': '0.1927', 'siglip_loss': '0.5522', 'epoch': '0.222'} + 69%|████████████████████▌ | 6171/9000 [4:52:52<3:11:45, 4.07s/it][Dataset] cur_step=6172 phase=C_full_covt +[Dataset] cur_step=6172 phase=C_full_covt +[Dataset] cur_step=6172 phase=C_full_covt +[Dataset] cur_step=6172 phase=C_full_covt +[Dataset] cur_step=6172 phase=C_full_covt +[Dataset] cur_step=6172 phase=C_full_covt + 69%|████████████████████▌ | 6172/9000 [4:52:53<3:10:15, 4.04s/it][Dataset] cur_step=6172 phase=C_full_covt[Dataset] cur_step=6172 phase=C_full_covt + + {'loss': '3.038', 'grad_norm': '2.317', 'learning_rate': '1.233e-05', 'epoch': '0.222'} + 69%|████████████████████▌ | 6172/9000 [4:52:53<3:10:15, 4.04s/it] {'lm_loss': '0.3597', 'visual_loss': '2.495', 'seg_loss': '0.6001', 'dino_loss': '0.9294', 'depth_loss': '0.2829', 'vggt_mse_loss': '0.2809', 'vggt_cos_loss': '0.0205', 'pidinet_loss': '0.2435', 'siglip_loss': '0.4392', 'epoch': '0.222'} + 69%|████████████████████▌ | 6172/9000 [4:52:59<3:10:15, 4.04s/it][Dataset] cur_step=6173 phase=C_full_covt +[Dataset] cur_step=6173 phase=C_full_covt +[Dataset] cur_step=6173 phase=C_full_covt +[Dataset] cur_step=6173 phase=C_full_covt 69%|████████████████████▌ | 6173/9000 [4:52:59<3:35:25, 4.57s/it] +[Dataset] cur_step=6173 phase=C_full_covt +[Dataset] cur_step=6173 phase=C_full_covt +[Dataset] cur_step=6173 phase=C_full_covt +[Dataset] cur_step=6173 phase=C_full_covt + {'loss': '2.944', 'grad_norm': '3.23', 'learning_rate': '1.232e-05', 'epoch': '0.2221'} + 69%|████████████████████▌ | 6173/9000 [4:52:59<3:35:25, 4.57s/it] {'lm_loss': '0.0162', 'visual_loss': '2.345', 'seg_loss': '0.6278', 'dino_loss': '0.8971', 'depth_loss': '0.1847', 'vggt_mse_loss': '0.1835', 'vggt_cos_loss': '0.0121', 'pidinet_loss': '0.2167', 'siglip_loss': '0.4185', 'epoch': '0.2221'} + 69%|████████████████████▌ | 6173/9000 [4:53:02<3:35:25, 4.57s/it][Dataset] cur_step=6174 phase=C_full_covt[Dataset] cur_step=6174 phase=C_full_covt + +[Dataset] cur_step=6174 phase=C_full_covt + 69%|████████████████████▌ | 6174/9000 [4:53:03<3:27:35, 4.41s/it][Dataset] cur_step=6174 phase=C_full_covt +[Dataset] cur_step=6174 phase=C_full_covt +[Dataset] cur_step=6174 phase=C_full_covt[Dataset] cur_step=6174 phase=C_full_covt + +[Dataset] cur_step=6174 phase=C_full_covt + {'loss': '2.679', 'grad_norm': '3.338', 'learning_rate': '1.231e-05', 'epoch': '0.2221'} + 69%|████████████████████▌ | 6174/9000 [4:53:03<3:27:35, 4.41s/it] {'lm_loss': '0.4818', 'visual_loss': '2.472', 'seg_loss': '0.6446', 'dino_loss': '0.8755', 'depth_loss': '0.2194', 'vggt_mse_loss': '0.2181', 'vggt_cos_loss': '0.01292', 'pidinet_loss': '0.2445', 'siglip_loss': '0.4876', 'epoch': '0.2221'} + 69%|████████████████████▌ | 6174/9000 [4:53:06<3:27:35, 4.41s/it][Dataset] cur_step=6175 phase=C_full_covt +[Dataset] cur_step=6175 phase=C_full_covt[Dataset] cur_step=6175 phase=C_full_covt + +[Dataset] cur_step=6175 phase=C_full_covt + 69%|████████████████████▌ | 6175/9000 [4:53:07<3:19:17, 4.23s/it][Dataset] cur_step=6175 phase=C_full_covt +[Dataset] cur_step=6175 phase=C_full_covt +[Dataset] cur_step=6175 phase=C_full_covt +[Dataset] cur_step=6175 phase=C_full_covt + {'loss': '3.191', 'grad_norm': '8.524', 'learning_rate': '1.23e-05', 'epoch': '0.2221'} + 69%|████████████████████▌ | 6175/9000 [4:53:07<3:19:17, 4.23s/it] {'lm_loss': '0.6823', 'visual_loss': '2.834', 'seg_loss': '0.7382', 'dino_loss': '0.914', 'depth_loss': '0.2738', 'vggt_mse_loss': '0.2716', 'vggt_cos_loss': '0.02247', 'pidinet_loss': '0.2951', 'siglip_loss': '0.6133', 'epoch': '0.2221'} + 69%|████████████████████▌ | 6175/9000 [4:53:10<3:19:17, 4.23s/it][Dataset] cur_step=6176 phase=C_full_covt[Dataset] cur_step=6176 phase=C_full_covt + +[Dataset] cur_step=6176 phase=C_full_covt +[Dataset] cur_step=6176 phase=C_full_covt 69%|████████████████████▌ | 6176/9000 [4:53:11<3:16:42, 4.18s/it] +[Dataset] cur_step=6176 phase=C_full_covt +[Dataset] cur_step=6176 phase=C_full_covt[Dataset] cur_step=6176 phase=C_full_covt + +[Dataset] cur_step=6176 phase=C_full_covt + {'loss': '2.981', 'grad_norm': '2.524', 'learning_rate': '1.229e-05', 'epoch': '0.2222'} + 69%|████████████████████▌ | 6176/9000 [4:53:11<3:16:42, 4.18s/it] {'lm_loss': '0.3111', 'visual_loss': '2.5', 'seg_loss': '0.5671', 'dino_loss': '0.8909', 'depth_loss': '0.2188', 'vggt_mse_loss': '0.2172', 'vggt_cos_loss': '0.01651', 'pidinet_loss': '0.3121', 'siglip_loss': '0.5107', 'epoch': '0.2222'} + 69%|████████████████████▌ | 6176/9000 [4:53:14<3:16:42, 4.18s/it][Dataset] cur_step=6177 phase=C_full_covt +[Dataset] cur_step=6177 phase=C_full_covt +[Dataset] cur_step=6177 phase=C_full_covt[Dataset] cur_step=6177 phase=C_full_covt + +[Dataset] cur_step=6177 phase=C_full_covt +[Dataset] cur_step=6177 phase=C_full_covt[Dataset] cur_step=6177 phase=C_full_covt + + 69%|████████████████████▌ | 6177/9000 [4:53:15<3:20:13, 4.26s/it][Dataset] cur_step=6177 phase=C_full_covt + {'loss': '2.98', 'grad_norm': '2.18', 'learning_rate': '1.229e-05', 'epoch': '0.2222'} + 69%|████████████████████▌ | 6177/9000 [4:53:15<3:20:13, 4.26s/it] {'lm_loss': '0.859', 'visual_loss': '2.311', 'seg_loss': '0.6942', 'dino_loss': '0.8825', 'depth_loss': '0.2272', 'vggt_mse_loss': '0.2256', 'vggt_cos_loss': '0.01602', 'pidinet_loss': '0.1778', 'siglip_loss': '0.3292', 'epoch': '0.2222'} + 69%|████████████████████▌ | 6177/9000 [4:53:19<3:20:13, 4.26s/it][Dataset] cur_step=6178 phase=C_full_covt +[Dataset] cur_step=6178 phase=C_full_covt +[Dataset] cur_step=6178 phase=C_full_covt +[Dataset] cur_step=6178 phase=C_full_covt[Dataset] cur_step=6178 phase=C_full_covt + +[Dataset] cur_step=6178 phase=C_full_covt + 69%|████████████████████▌ | 6178/9000 [4:53:19<3:17:08, 4.19s/it][Dataset] cur_step=6178 phase=C_full_covt +[Dataset] cur_step=6178 phase=C_full_covt + {'loss': '3.085', 'grad_norm': '5.741', 'learning_rate': '1.228e-05', 'epoch': '0.2223'} + 69%|████████████████████▌ | 6178/9000 [4:53:19<3:17:08, 4.19s/it] {'lm_loss': '0.00371', 'visual_loss': '2.91', 'seg_loss': '0.7925', 'dino_loss': '0.9067', 'depth_loss': '0.3339', 'vggt_mse_loss': '0.3312', 'vggt_cos_loss': '0.02674', 'pidinet_loss': '0.2392', 'siglip_loss': '0.6374', 'epoch': '0.2223'} + 69%|████████████████████▌ | 6178/9000 [4:53:22<3:17:08, 4.19s/it][Dataset] cur_step=6179 phase=C_full_covt +[Dataset] cur_step=6179 phase=C_full_covt +[Dataset] cur_step=6179 phase=C_full_covt[Dataset] cur_step=6179 phase=C_full_covt + +[Dataset] cur_step=6179 phase=C_full_covt +[Dataset] cur_step=6179 phase=C_full_covt[Dataset] cur_step=6179 phase=C_full_covt + + 69%|████████████████████▌ | 6179/9000 [4:53:24<3:17:52, 4.21s/it][Dataset] cur_step=6179 phase=C_full_covt + {'loss': '3.212', 'grad_norm': '3.019', 'learning_rate': '1.227e-05', 'epoch': '0.2223'} + 69%|████████████████████▌ | 6179/9000 [4:53:24<3:17:52, 4.21s/it] {'lm_loss': '0.4314', 'visual_loss': '2.572', 'seg_loss': '0.6708', 'dino_loss': '0.9162', 'depth_loss': '0.3135', 'vggt_mse_loss': '0.3112', 'vggt_cos_loss': '0.02296', 'pidinet_loss': '0.2766', 'siglip_loss': '0.3952', 'epoch': '0.2223'} + 69%|████████████████████▌ | 6179/9000 [4:53:27<3:17:52, 4.21s/it][Dataset] cur_step=6180 phase=C_full_covt +[Dataset] cur_step=6180 phase=C_full_covt[Dataset] cur_step=6180 phase=C_full_covt + +[Dataset] cur_step=6180 phase=C_full_covt +[Dataset] cur_step=6180 phase=C_full_covt[Dataset] cur_step=6180 phase=C_full_covt + +[Dataset] cur_step=6180 phase=C_full_covt + 69%|████████████████████▌ | 6180/9000 [4:53:27<3:11:39, 4.08s/it][Dataset] cur_step=6180 phase=C_full_covt + {'loss': '3.147', 'grad_norm': '1.912', 'learning_rate': '1.226e-05', 'epoch': '0.2223'} + 69%|████████████████████▌ | 6180/9000 [4:53:27<3:11:39, 4.08s/it] {'lm_loss': '0.4458', 'visual_loss': '2.539', 'seg_loss': '0.674', 'dino_loss': '0.9118', 'depth_loss': '0.2287', 'vggt_mse_loss': '0.2269', 'vggt_cos_loss': '0.01811', 'pidinet_loss': '0.2213', 'siglip_loss': '0.5031', 'epoch': '0.2223'} + 69%|████████████████████▌ | 6180/9000 [4:53:31<3:11:39, 4.08s/it][Dataset] cur_step=6181 phase=C_full_covt +[Dataset] cur_step=6181 phase=C_full_covt +[Dataset] cur_step=6181 phase=C_full_covt +[Dataset] cur_step=6181 phase=C_full_covt +[Dataset] cur_step=6181 phase=C_full_covt +[Dataset] cur_step=6181 phase=C_full_covt 69%|████████████████████▌ | 6181/9000 [4:53:32<3:12:55, 4.11s/it] +[Dataset] cur_step=6181 phase=C_full_covt +[Dataset] cur_step=6181 phase=C_full_covt + {'loss': '3.252', 'grad_norm': '2.103', 'learning_rate': '1.225e-05', 'epoch': '0.2224'} + 69%|████████████████████▌ | 6181/9000 [4:53:32<3:12:55, 4.11s/it] {'lm_loss': '0.432', 'visual_loss': '2.414', 'seg_loss': '0.5982', 'dino_loss': '0.8632', 'depth_loss': '0.208', 'vggt_mse_loss': '0.2067', 'vggt_cos_loss': '0.01333', 'pidinet_loss': '0.2178', 'siglip_loss': '0.5267', 'epoch': '0.2224'} + 69%|████████████████████▌ | 6181/9000 [4:53:35<3:12:55, 4.11s/it][Dataset] cur_step=6182 phase=C_full_covt +[Dataset] cur_step=6182 phase=C_full_covt +[Dataset] cur_step=6182 phase=C_full_covt[Dataset] cur_step=6182 phase=C_full_covt + +[Dataset] cur_step=6182 phase=C_full_covt + 69%|████████████████████▌ | 6182/9000 [4:53:36<3:13:45, 4.13s/it][Dataset] cur_step=6182 phase=C_full_covt +[Dataset] cur_step=6182 phase=C_full_covt +[Dataset] cur_step=6182 phase=C_full_covt + {'loss': '2.902', 'grad_norm': '1.556', 'learning_rate': '1.225e-05', 'epoch': '0.2224'} + 69%|████████████████████▌ | 6182/9000 [4:53:36<3:13:45, 4.13s/it] {'lm_loss': '0.427', 'visual_loss': '2.896', 'seg_loss': '0.8098', 'dino_loss': '0.9321', 'depth_loss': '0.2455', 'vggt_mse_loss': '0.2439', 'vggt_cos_loss': '0.01621', 'pidinet_loss': '0.2061', 'siglip_loss': '0.7026', 'epoch': '0.2224'} + 69%|████████████████████▌ | 6182/9000 [4:53:39<3:13:45, 4.13s/it][Dataset] cur_step=6183 phase=C_full_covt[Dataset] cur_step=6183 phase=C_full_covt + +[Dataset] cur_step=6183 phase=C_full_covt[Dataset] cur_step=6183 phase=C_full_covt + +[Dataset] cur_step=6183 phase=C_full_covt +[Dataset] cur_step=6183 phase=C_full_covt +[Dataset] cur_step=6183 phase=C_full_covt + 69%|████████████████████▌ | 6183/9000 [4:53:40<3:08:51, 4.02s/it][Dataset] cur_step=6183 phase=C_full_covt + {'loss': '3.151', 'grad_norm': '1.604', 'learning_rate': '1.224e-05', 'epoch': '0.2224'} + 69%|████████████████████▌ | 6183/9000 [4:53:40<3:08:51, 4.02s/it] {'lm_loss': '0.009548', 'visual_loss': '2.645', 'seg_loss': '0.7195', 'dino_loss': '0.9294', 'depth_loss': '0.2668', 'vggt_mse_loss': '0.2646', 'vggt_cos_loss': '0.02144', 'pidinet_loss': '0.2588', 'siglip_loss': '0.4705', 'epoch': '0.2224'} + 69%|████████████████████▌ | 6183/9000 [4:53:43<3:08:51, 4.02s/it][Dataset] cur_step=6184 phase=C_full_covt +[Dataset] cur_step=6184 phase=C_full_covt +[Dataset] cur_step=6184 phase=C_full_covt[Dataset] cur_step=6184 phase=C_full_covt +[Dataset] cur_step=6184 phase=C_full_covt + +[Dataset] cur_step=6184 phase=C_full_covt +[Dataset] cur_step=6184 phase=C_full_covt +[Dataset] cur_step=6184 phase=C_full_covt + 69%|████████████████████▌ | 6184/9000 [4:53:43<3:05:42, 3.96s/it] {'loss': '3.051', 'grad_norm': '1.968', 'learning_rate': '1.223e-05', 'epoch': '0.2225'} + 69%|████████████████████▌ | 6184/9000 [4:53:43<3:05:42, 3.96s/it] {'lm_loss': '0.6789', 'visual_loss': '2.485', 'seg_loss': '0.7274', 'dino_loss': '0.899', 'depth_loss': '0.2393', 'vggt_mse_loss': '0.2377', 'vggt_cos_loss': '0.017', 'pidinet_loss': '0.1625', 'siglip_loss': '0.4565', 'epoch': '0.2225'} + 69%|████████████████████▌ | 6184/9000 [4:53:48<3:05:42, 3.96s/it][Dataset] cur_step=6185 phase=C_full_covt +[Dataset] cur_step=6185 phase=C_full_covt +[Dataset] cur_step=6185 phase=C_full_covt +[Dataset] cur_step=6185 phase=C_full_covt 69%|████████████████████▌ | 6185/9000 [4:53:48<3:13:58, 4.13s/it] +[Dataset] cur_step=6185 phase=C_full_covt +[Dataset] cur_step=6185 phase=C_full_covt +[Dataset] cur_step=6185 phase=C_full_covt +[Dataset] cur_step=6185 phase=C_full_covt + {'loss': '3.241', 'grad_norm': '1.488', 'learning_rate': '1.222e-05', 'epoch': '0.2225'} + 69%|████████████████████▌ | 6185/9000 [4:53:48<3:13:58, 4.13s/it] {'lm_loss': '0.4501', 'visual_loss': '2.541', 'seg_loss': '0.6925', 'dino_loss': '0.9147', 'depth_loss': '0.3235', 'vggt_mse_loss': '0.321', 'vggt_cos_loss': '0.02483', 'pidinet_loss': '0.2011', 'siglip_loss': '0.409', 'epoch': '0.2225'} + 69%|████████████████████▌ | 6185/9000 [4:53:52<3:13:58, 4.13s/it][Dataset] cur_step=6186 phase=C_full_covt +[Dataset] cur_step=6186 phase=C_full_covt[Dataset] cur_step=6186 phase=C_full_covt +[Dataset] cur_step=6186 phase=C_full_covt + + 69%|████████████████████▌ | 6186/9000 [4:53:52<3:12:52, 4.11s/it][Dataset] cur_step=6186 phase=C_full_covt +[Dataset] cur_step=6186 phase=C_full_covt +[Dataset] cur_step=6186 phase=C_full_covt +[Dataset] cur_step=6186 phase=C_full_covt + {'loss': '2.893', 'grad_norm': '2.203', 'learning_rate': '1.221e-05', 'epoch': '0.2225'} + 69%|████████████████████▌ | 6186/9000 [4:53:52<3:12:52, 4.11s/it] {'lm_loss': '0.7486', 'visual_loss': '2.677', 'seg_loss': '0.7328', 'dino_loss': '0.9171', 'depth_loss': '0.1785', 'vggt_mse_loss': '0.1773', 'vggt_cos_loss': '0.01272', 'pidinet_loss': '0.2655', 'siglip_loss': '0.5828', 'epoch': '0.2225'} + 69%|████████████████████▌ | 6186/9000 [4:53:55<3:12:52, 4.11s/it][Dataset] cur_step=6187 phase=C_full_covt +[Dataset] cur_step=6187 phase=C_full_covt +[Dataset] cur_step=6187 phase=C_full_covt +[Dataset] cur_step=6187 phase=C_full_covt +[Dataset] cur_step=6187 phase=C_full_covt[Dataset] cur_step=6187 phase=C_full_covt + +[Dataset] cur_step=6187 phase=C_full_covt + 69%|████████████████████▌ | 6187/9000 [4:53:56<3:13:04, 4.12s/it][Dataset] cur_step=6187 phase=C_full_covt + {'loss': '3.02', 'grad_norm': '1.471', 'learning_rate': '1.221e-05', 'epoch': '0.2226'} + 69%|████████████████████▌ | 6187/9000 [4:53:56<3:13:04, 4.12s/it] {'lm_loss': '0.4378', 'visual_loss': '2.659', 'seg_loss': '0.7486', 'dino_loss': '0.9188', 'depth_loss': '0.2697', 'vggt_mse_loss': '0.2677', 'vggt_cos_loss': '0.0205', 'pidinet_loss': '0.2254', 'siglip_loss': '0.4965', 'epoch': '0.2226'} + 69%|████████████████████▌ | 6187/9000 [4:53:59<3:13:04, 4.12s/it][Dataset] cur_step=6188 phase=C_full_covt +[Dataset] cur_step=6188 phase=C_full_covt +[Dataset] cur_step=6188 phase=C_full_covt +[Dataset] cur_step=6188 phase=C_full_covt +[Dataset] cur_step=6188 phase=C_full_covt +[Dataset] cur_step=6188 phase=C_full_covt[Dataset] cur_step=6188 phase=C_full_covt + + 69%|████████████████████▋ | 6188/9000 [4:54:00<3:14:51, 4.16s/it][Dataset] cur_step=6188 phase=C_full_covt + {'loss': '3.307', 'grad_norm': '4.429', 'learning_rate': '1.22e-05', 'epoch': '0.2226'} + 69%|████████████████████▋ | 6188/9000 [4:54:00<3:14:51, 4.16s/it] {'lm_loss': '0.4228', 'visual_loss': '2.664', 'seg_loss': '0.7218', 'dino_loss': '0.9119', 'depth_loss': '0.2896', 'vggt_mse_loss': '0.2875', 'vggt_cos_loss': '0.02074', 'pidinet_loss': '0.2415', 'siglip_loss': '0.4991', 'epoch': '0.2226'} + 69%|████████████████████▋ | 6188/9000 [4:54:04<3:14:51, 4.16s/it][Dataset] cur_step=6189 phase=C_full_covt +[Dataset] cur_step=6189 phase=C_full_covt +[Dataset] cur_step=6189 phase=C_full_covt[Dataset] cur_step=6189 phase=C_full_covt + +[Dataset] cur_step=6189 phase=C_full_covt + 69%|████████████████████▋ | 6189/9000 [4:54:04<3:12:09, 4.10s/it][Dataset] cur_step=6189 phase=C_full_covt +[Dataset] cur_step=6189 phase=C_full_covt +[Dataset] cur_step=6189 phase=C_full_covt + {'loss': '3.014', 'grad_norm': '1.597', 'learning_rate': '1.219e-05', 'epoch': '0.2226'} + 69%|████████████████████▋ | 6189/9000 [4:54:04<3:12:09, 4.10s/it] {'lm_loss': '0.4156', 'visual_loss': '2.651', 'seg_loss': '0.6852', 'dino_loss': '0.9031', 'depth_loss': '0.3041', 'vggt_mse_loss': '0.3022', 'vggt_cos_loss': '0.01836', 'pidinet_loss': '0.283', 'siglip_loss': '0.4753', 'epoch': '0.2226'} + 69%|████████████████████▋ | 6189/9000 [4:54:08<3:12:09, 4.10s/it][Dataset] cur_step=6190 phase=C_full_covt +[Dataset] cur_step=6190 phase=C_full_covt +[Dataset] cur_step=6190 phase=C_full_covt[Dataset] cur_step=6190 phase=C_full_covt[Dataset] cur_step=6190 phase=C_full_covt[Dataset] cur_step=6190 phase=C_full_covt + + + +[Dataset] cur_step=6190 phase=C_full_covt + 69%|████████████████████▋ | 6190/9000 [4:54:08<3:11:48, 4.10s/it][Dataset] cur_step=6190 phase=C_full_covt + {'loss': '3.248', 'grad_norm': '2.095', 'learning_rate': '1.218e-05', 'epoch': '0.2227'} + 69%|████████████████████▋ | 6190/9000 [4:54:08<3:11:48, 4.10s/it] {'lm_loss': '0.3731', 'visual_loss': '2.673', 'seg_loss': '0.7257', 'dino_loss': '0.8986', 'depth_loss': '0.2782', 'vggt_mse_loss': '0.2759', 'vggt_cos_loss': '0.02282', 'pidinet_loss': '0.2181', 'siglip_loss': '0.5528', 'epoch': '0.2227'} + 69%|████████████████████▋ | 6190/9000 [4:54:12<3:11:48, 4.10s/it][Dataset] cur_step=6191 phase=C_full_covt[Dataset] cur_step=6191 phase=C_full_covt + +[Dataset] cur_step=6191 phase=C_full_covt +[Dataset] cur_step=6191 phase=C_full_covt[Dataset] cur_step=6191 phase=C_full_covt + +[Dataset] cur_step=6191 phase=C_full_covt +[Dataset] cur_step=6191 phase=C_full_covt +[Dataset] cur_step=6191 phase=C_full_covt + 69%|████████████████████▋ | 6191/9000 [4:54:12<3:11:11, 4.08s/it] {'loss': '3.083', 'grad_norm': '2.188', 'learning_rate': '1.218e-05', 'epoch': '0.2227'} + 69%|████████████████████▋ | 6191/9000 [4:54:12<3:11:11, 4.08s/it] {'lm_loss': '0.328', 'visual_loss': '2.676', 'seg_loss': '0.6479', 'dino_loss': '0.8991', 'depth_loss': '0.261', 'vggt_mse_loss': '0.2589', 'vggt_cos_loss': '0.02054', 'pidinet_loss': '0.2309', 'siglip_loss': '0.6376', 'epoch': '0.2227'} + 69%|████████████████████▋ | 6191/9000 [4:54:16<3:11:11, 4.08s/it][Dataset] cur_step=6192 phase=C_full_covt +[Dataset] cur_step=6192 phase=C_full_covt +[Dataset] cur_step=6192 phase=C_full_covt[Dataset] cur_step=6192 phase=C_full_covt + +[Dataset] cur_step=6192 phase=C_full_covt + 69%|████████████████████▋ | 6192/9000 [4:54:16<3:07:48, 4.01s/it][Dataset] cur_step=6192 phase=C_full_covt[Dataset] cur_step=6192 phase=C_full_covt + +[Dataset] cur_step=6192 phase=C_full_covt + {'loss': '3.234', 'grad_norm': '2.792', 'learning_rate': '1.217e-05', 'epoch': '0.2228'} + 69%|████████████████████▋ | 6192/9000 [4:54:16<3:07:48, 4.01s/it] {'lm_loss': '0.3797', 'visual_loss': '2.708', 'seg_loss': '0.691', 'dino_loss': '0.8875', 'depth_loss': '0.2229', 'vggt_mse_loss': '0.2212', 'vggt_cos_loss': '0.01682', 'pidinet_loss': '0.2411', 'siglip_loss': '0.6654', 'epoch': '0.2228'} + 69%|████████████████████▋ | 6192/9000 [4:54:20<3:07:48, 4.01s/it][Dataset] cur_step=6193 phase=C_full_covt +[Dataset] cur_step=6193 phase=C_full_covt +[Dataset] cur_step=6193 phase=C_full_covt +[Dataset] cur_step=6193 phase=C_full_covt +[Dataset] cur_step=6193 phase=C_full_covt + 69%|████████████████████▋ | 6193/9000 [4:54:20<3:06:44, 3.99s/it][Dataset] cur_step=6193 phase=C_full_covt +[Dataset] cur_step=6193 phase=C_full_covt +[Dataset] cur_step=6193 phase=C_full_covt + {'loss': '3.098', 'grad_norm': '1.634', 'learning_rate': '1.216e-05', 'epoch': '0.2228'} + 69%|████████████████████▋ | 6193/9000 [4:54:20<3:06:44, 3.99s/it] {'lm_loss': '0.8995', 'visual_loss': '2.756', 'seg_loss': '0.7714', 'dino_loss': '0.9079', 'depth_loss': '0.253', 'vggt_mse_loss': '0.251', 'vggt_cos_loss': '0.02003', 'pidinet_loss': '0.2405', 'siglip_loss': '0.5835', 'epoch': '0.2228'} + 69%|████████████████████▋ | 6193/9000 [4:54:24<3:06:44, 3.99s/it][Dataset] cur_step=6194 phase=C_full_covt +[Dataset] cur_step=6194 phase=C_full_covt +[Dataset] cur_step=6194 phase=C_full_covt +[Dataset] cur_step=6194 phase=C_full_covt +[Dataset] cur_step=6194 phase=C_full_covt 69%|████████████████████▋ | 6194/9000 [4:54:24<3:05:18, 3.96s/it] +[Dataset] cur_step=6194 phase=C_full_covt[Dataset] cur_step=6194 phase=C_full_covt + +[Dataset] cur_step=6194 phase=C_full_covt + {'loss': '3.001', 'grad_norm': '1.65', 'learning_rate': '1.215e-05', 'epoch': '0.2228'} + 69%|████████████████████▋ | 6194/9000 [4:54:24<3:05:18, 3.96s/it] {'lm_loss': '0.2028', 'visual_loss': '2.303', 'seg_loss': '0.6684', 'dino_loss': '0.8817', 'depth_loss': '0.2005', 'vggt_mse_loss': '0.1994', 'vggt_cos_loss': '0.01132', 'pidinet_loss': '0.1778', 'siglip_loss': '0.3744', 'epoch': '0.2228'} + 69%|████████████████████▋ | 6194/9000 [4:54:28<3:05:18, 3.96s/it][Dataset] cur_step=6195 phase=C_full_covt +[Dataset] cur_step=6195 phase=C_full_covt + 69%|████████████████████▋ | 6195/9000 [4:54:28<3:07:24, 4.01s/it][Dataset] cur_step=6195 phase=C_full_covt +[Dataset] cur_step=6195 phase=C_full_covt +[Dataset] cur_step=6195 phase=C_full_covt +[Dataset] cur_step=6195 phase=C_full_covt +[Dataset] cur_step=6195 phase=C_full_covt +[Dataset] cur_step=6195 phase=C_full_covt + {'loss': '2.966', 'grad_norm': '2.117', 'learning_rate': '1.214e-05', 'epoch': '0.2229'} + 69%|████████████████████▋ | 6195/9000 [4:54:28<3:07:24, 4.01s/it] {'lm_loss': '0.2786', 'visual_loss': '2.761', 'seg_loss': '0.7923', 'dino_loss': '0.9304', 'depth_loss': '0.3821', 'vggt_mse_loss': '0.3797', 'vggt_cos_loss': '0.02396', 'pidinet_loss': '0.2323', 'siglip_loss': '0.4242', 'epoch': '0.2229'} + 69%|████████████████████▋ | 6195/9000 [4:54:32<3:07:24, 4.01s/it][Dataset] cur_step=6196 phase=C_full_covt +[Dataset] cur_step=6196 phase=C_full_covt[Dataset] cur_step=6196 phase=C_full_covt + +[Dataset] cur_step=6196 phase=C_full_covt +[Dataset] cur_step=6196 phase=C_full_covt[Dataset] cur_step=6196 phase=C_full_covt[Dataset] cur_step=6196 phase=C_full_covt + + +[Dataset] cur_step=6196 phase=C_full_covt + 69%|████████████████████▋ | 6196/9000 [4:54:32<3:05:14, 3.96s/it] {'loss': '3.19', 'grad_norm': '2.182', 'learning_rate': '1.214e-05', 'epoch': '0.2229'} + 69%|████████████████████▋ | 6196/9000 [4:54:32<3:05:14, 3.96s/it] {'lm_loss': '0.5567', 'visual_loss': '2.482', 'seg_loss': '0.7838', 'dino_loss': '0.903', 'depth_loss': '0.2327', 'vggt_mse_loss': '0.231', 'vggt_cos_loss': '0.01732', 'pidinet_loss': '0.1945', 'siglip_loss': '0.3679', 'epoch': '0.2229'} + 69%|████████████████████▋ | 6196/9000 [4:54:36<3:05:14, 3.96s/it][Dataset] cur_step=6197 phase=C_full_covt +[Dataset] cur_step=6197 phase=C_full_covt +[Dataset] cur_step=6197 phase=C_full_covt[Dataset] cur_step=6197 phase=C_full_covt 69%|████████████████████▋ | 6197/9000 [4:54:36<3:04:57, 3.96s/it] + +[Dataset] cur_step=6197 phase=C_full_covt +[Dataset] cur_step=6197 phase=C_full_covt +[Dataset] cur_step=6197 phase=C_full_covt +[Dataset] cur_step=6197 phase=C_full_covt + {'loss': '3.239', 'grad_norm': '2.183', 'learning_rate': '1.213e-05', 'epoch': '0.2229'} + 69%|████████████████████▋ | 6197/9000 [4:54:38<3:04:57, 3.96s/it] {'lm_loss': '0.8683', 'visual_loss': '2.587', 'seg_loss': '0.5359', 'dino_loss': '0.924', 'depth_loss': '0.2297', 'vggt_mse_loss': '0.2284', 'vggt_cos_loss': '0.01343', 'pidinet_loss': '0.2053', 'siglip_loss': '0.6917', 'epoch': '0.2229'} + 69%|████████████████████▋ | 6197/9000 [4:54:42<3:04:57, 3.96s/it][Dataset] cur_step=6198 phase=C_full_covt +[Dataset] cur_step=6198 phase=C_full_covt +[Dataset] cur_step=6198 phase=C_full_covt[Dataset] cur_step=6198 phase=C_full_covt +[Dataset] cur_step=6198 phase=C_full_covt + +[Dataset] cur_step=6198 phase=C_full_covt + 69%|████████████████████▋ | 6198/9000 [4:54:42<3:38:37, 4.68s/it][Dataset] cur_step=6198 phase=C_full_covt[Dataset] cur_step=6198 phase=C_full_covt + + {'loss': '3.297', 'grad_norm': '2.838', 'learning_rate': '1.212e-05', 'epoch': '0.223'} + 69%|████████████████████▋ | 6198/9000 [4:54:42<3:38:37, 4.68s/it] {'lm_loss': '0.6881', 'visual_loss': '2.991', 'seg_loss': '0.7842', 'dino_loss': '0.92', 'depth_loss': '0.2785', 'vggt_mse_loss': '0.2762', 'vggt_cos_loss': '0.02324', 'pidinet_loss': '0.2163', 'siglip_loss': '0.7919', 'epoch': '0.223'} + 69%|████████████████████▋ | 6198/9000 [4:54:46<3:38:37, 4.68s/it][Dataset] cur_step=6199 phase=C_full_covt +[Dataset] cur_step=6199 phase=C_full_covt +[Dataset] cur_step=6199 phase=C_full_covt +[Dataset] cur_step=6199 phase=C_full_covt +[Dataset] cur_step=6199 phase=C_full_covt[Dataset] cur_step=6199 phase=C_full_covt + + 69%|████████████████████▋ | 6199/9000 [4:54:47<3:29:45, 4.49s/it][Dataset] cur_step=6199 phase=C_full_covt[Dataset] cur_step=6199 phase=C_full_covt + + {'loss': '3.285', 'grad_norm': '1.834', 'learning_rate': '1.211e-05', 'epoch': '0.223'} + 69%|████████████████████▋ | 6199/9000 [4:54:47<3:29:45, 4.49s/it] {'lm_loss': '0.669', 'visual_loss': '2.873', 'seg_loss': '0.71', 'dino_loss': '0.9054', 'depth_loss': '0.3009', 'vggt_mse_loss': '0.2986', 'vggt_cos_loss': '0.02277', 'pidinet_loss': '0.2999', 'siglip_loss': '0.6567', 'epoch': '0.223'} + 69%|████████████████████▋ | 6199/9000 [4:54:50<3:29:45, 4.49s/it][Dataset] cur_step=6200 phase=C_full_covt +[Dataset] cur_step=6200 phase=C_full_covt +[Dataset] cur_step=6200 phase=C_full_covt[Dataset] cur_step=6200 phase=C_full_covt + +[Dataset] cur_step=6200 phase=C_full_covt +[Dataset] cur_step=6200 phase=C_full_covt[Dataset] cur_step=6200 phase=C_full_covt + + 69%|████████████████████▋ | 6200/9000 [4:54:51<3:30:46, 4.52s/it][Dataset] cur_step=6200 phase=C_full_covt + {'loss': '3.049', 'grad_norm': '2.222', 'learning_rate': '1.21e-05', 'epoch': '0.223'} + 69%|████████████████████▋ | 6200/9000 [4:54:51<3:30:46, 4.52s/it] {'lm_loss': '0.3977', 'visual_loss': '2.642', 'seg_loss': '0.7439', 'dino_loss': '0.9207', 'depth_loss': '0.1907', 'vggt_mse_loss': '0.1896', 'vggt_cos_loss': '0.01139', 'pidinet_loss': '0.2299', 'siglip_loss': '0.5565', 'epoch': '0.223'} + 69%|████████████████████▋ | 6200/9000 [4:54:55<3:30:46, 4.52s/it][Dataset] cur_step=6201 phase=C_full_covt +[Dataset] cur_step=6201 phase=C_full_covt[Dataset] cur_step=6201 phase=C_full_covt + + 69%|████████████████████▋ | 6201/9000 [4:54:55<3:22:27, 4.34s/it][Dataset] cur_step=6201 phase=C_full_covt[Dataset] cur_step=6201 phase=C_full_covt + +[Dataset] cur_step=6201 phase=C_full_covt +[Dataset] cur_step=6201 phase=C_full_covt +[Dataset] cur_step=6201 phase=C_full_covt + {'loss': '3.034', 'grad_norm': '2.553', 'learning_rate': '1.21e-05', 'epoch': '0.2231'} + 69%|████████████████████▋ | 6201/9000 [4:54:55<3:22:27, 4.34s/it] {'lm_loss': '0.5228', 'visual_loss': '2.57', 'seg_loss': '0.7808', 'dino_loss': '0.8914', 'depth_loss': '0.1969', 'vggt_mse_loss': '0.1956', 'vggt_cos_loss': '0.01285', 'pidinet_loss': '0.1879', 'siglip_loss': '0.5126', 'epoch': '0.2231'} + 69%|████████████████████▋ | 6201/9000 [4:54:59<3:22:27, 4.34s/it][Dataset] cur_step=6202 phase=C_full_covt +[Dataset] cur_step=6202 phase=C_full_covt +[Dataset] cur_step=6202 phase=C_full_covt + 69%|████████████████████▋ | 6202/9000 [4:55:01<3:48:10, 4.89s/it][Dataset] cur_step=6202 phase=C_full_covt +[Dataset] cur_step=6202 phase=C_full_covt +[Dataset] cur_step=6202 phase=C_full_covt +[Dataset] cur_step=6202 phase=C_full_covt +[Dataset] cur_step=6202 phase=C_full_covt + {'loss': '3.292', 'grad_norm': '2.614', 'learning_rate': '1.209e-05', 'epoch': '0.2231'} + 69%|████████████████████▋ | 6202/9000 [4:55:01<3:48:10, 4.89s/it] {'lm_loss': '0.2663', 'visual_loss': '2.892', 'seg_loss': '0.7602', 'dino_loss': '0.9214', 'depth_loss': '0.2905', 'vggt_mse_loss': '0.2883', 'vggt_cos_loss': '0.02147', 'pidinet_loss': '0.2417', 'siglip_loss': '0.6785', 'epoch': '0.2231'} + 69%|████████████████████▋ | 6202/9000 [4:55:05<3:48:10, 4.89s/it][Dataset] cur_step=6203 phase=C_full_covt[Dataset] cur_step=6203 phase=C_full_covt + +[Dataset] cur_step=6203 phase=C_full_covt[Dataset] cur_step=6203 phase=C_full_covt +[Dataset] cur_step=6203 phase=C_full_covt + + 69%|████████████████████▋ | 6203/9000 [4:55:05<3:34:25, 4.60s/it][Dataset] cur_step=6203 phase=C_full_covt +[Dataset] cur_step=6203 phase=C_full_covt +[Dataset] cur_step=6203 phase=C_full_covt + {'loss': '2.944', 'grad_norm': '2.671', 'learning_rate': '1.208e-05', 'epoch': '0.2232'} + 69%|████████████████████▋ | 6203/9000 [4:55:05<3:34:25, 4.60s/it] {'lm_loss': '0.3614', 'visual_loss': '2.679', 'seg_loss': '0.7703', 'dino_loss': '0.9055', 'depth_loss': '0.1979', 'vggt_mse_loss': '0.1965', 'vggt_cos_loss': '0.01427', 'pidinet_loss': '0.2169', 'siglip_loss': '0.5883', 'epoch': '0.2232'} + 69%|████████████████████▋ | 6203/9000 [4:55:08<3:34:25, 4.60s/it][Dataset] cur_step=6204 phase=C_full_covt +[Dataset] cur_step=6204 phase=C_full_covt +[Dataset] cur_step=6204 phase=C_full_covt[Dataset] cur_step=6204 phase=C_full_covt + +[Dataset] cur_step=6204 phase=C_full_covt +[Dataset] cur_step=6204 phase=C_full_covt[Dataset] cur_step=6204 phase=C_full_covt + +[Dataset] cur_step=6204 phase=C_full_covt + 69%|████████████████████▋ | 6204/9000 [4:55:09<3:27:39, 4.46s/it] {'loss': '3.337', 'grad_norm': '5.956', 'learning_rate': '1.207e-05', 'epoch': '0.2232'} + 69%|████████████████████▋ | 6204/9000 [4:55:09<3:27:39, 4.46s/it] {'lm_loss': '0.5355', 'visual_loss': '2.454', 'seg_loss': '0.7382', 'dino_loss': '0.8921', 'depth_loss': '0.2267', 'vggt_mse_loss': '0.2254', 'vggt_cos_loss': '0.01309', 'pidinet_loss': '0.2001', 'siglip_loss': '0.3965', 'epoch': '0.2232'} + 69%|████████████████████▋ | 6204/9000 [4:55:12<3:27:39, 4.46s/it][Dataset] cur_step=6205 phase=C_full_covt +[Dataset] cur_step=6205 phase=C_full_covt +[Dataset] cur_step=6205 phase=C_full_covt +[Dataset] cur_step=6205 phase=C_full_covt +[Dataset] cur_step=6205 phase=C_full_covt +[Dataset] cur_step=6205 phase=C_full_covt +[Dataset] cur_step=6205 phase=C_full_covt +[Dataset] cur_step=6205 phase=C_full_covt + 69%|████████████████████▋ | 6205/9000 [4:55:13<3:22:49, 4.35s/it] {'loss': '3.094', 'grad_norm': '3.521', 'learning_rate': '1.207e-05', 'epoch': '0.2232'} + 69%|████████████████████▋ | 6205/9000 [4:55:13<3:22:49, 4.35s/it] {'lm_loss': '0.4827', 'visual_loss': '2.682', 'seg_loss': '0.7169', 'dino_loss': '0.8977', 'depth_loss': '0.2806', 'vggt_mse_loss': '0.2788', 'vggt_cos_loss': '0.01801', 'pidinet_loss': '0.2847', 'siglip_loss': '0.5025', 'epoch': '0.2232'} + 69%|████████████████████▋ | 6205/9000 [4:55:17<3:22:49, 4.35s/it][Dataset] cur_step=6206 phase=C_full_covt[Dataset] cur_step=6206 phase=C_full_covt[Dataset] cur_step=6206 phase=C_full_covt + + + 69%|████████████████████▋ | 6206/9000 [4:55:17<3:12:34, 4.14s/it][Dataset] cur_step=6206 phase=C_full_covt +[Dataset] cur_step=6206 phase=C_full_covt[Dataset] cur_step=6206 phase=C_full_covt + +[Dataset] cur_step=6206 phase=C_full_covt +[Dataset] cur_step=6206 phase=C_full_covt + {'loss': '3.223', 'grad_norm': '1.72', 'learning_rate': '1.206e-05', 'epoch': '0.2233'} + 69%|████████████████████▋ | 6206/9000 [4:55:17<3:12:34, 4.14s/it] {'lm_loss': '0.007487', 'visual_loss': '2.699', 'seg_loss': '0.6674', 'dino_loss': '0.902', 'depth_loss': '0.448', 'vggt_mse_loss': '0.4449', 'vggt_cos_loss': '0.03062', 'pidinet_loss': '0.2134', 'siglip_loss': '0.4685', 'epoch': '0.2233'} + 69%|████████████████████▋ | 6206/9000 [4:55:20<3:12:34, 4.14s/it][Dataset] cur_step=6207 phase=C_full_covt +[Dataset] cur_step=6207 phase=C_full_covt[Dataset] cur_step=6207 phase=C_full_covt + +[Dataset] cur_step=6207 phase=C_full_covt +[Dataset] cur_step=6207 phase=C_full_covt +[Dataset] cur_step=6207 phase=C_full_covt + 69%|████████████████████▋ | 6207/9000 [4:55:23<3:39:43, 4.72s/it][Dataset] cur_step=6207 phase=C_full_covt +[Dataset] cur_step=6207 phase=C_full_covt + {'loss': '3.031', 'grad_norm': '1.42', 'learning_rate': '1.205e-05', 'epoch': '0.2233'} + 69%|████████████████████▋ | 6207/9000 [4:55:23<3:39:43, 4.72s/it] {'lm_loss': '0.2564', 'visual_loss': '2.21', 'seg_loss': '0.612', 'dino_loss': '0.8808', 'depth_loss': '0.2712', 'vggt_mse_loss': '0.27', 'vggt_cos_loss': '0.0122', 'pidinet_loss': '0.1247', 'siglip_loss': '0.3214', 'epoch': '0.2233'} + 69%|████████████████████▋ | 6207/9000 [4:55:26<3:39:43, 4.72s/it][Dataset] cur_step=6208 phase=C_full_covt +[Dataset] cur_step=6208 phase=C_full_covt +[Dataset] cur_step=6208 phase=C_full_covt +[Dataset] cur_step=6208 phase=C_full_covt + 69%|████████████████████▋ | 6208/9000 [4:55:27<3:31:37, 4.55s/it][Dataset] cur_step=6208 phase=C_full_covt[Dataset] cur_step=6208 phase=C_full_covt +[Dataset] cur_step=6208 phase=C_full_covt + +[Dataset] cur_step=6208 phase=C_full_covt + {'loss': '3.053', 'grad_norm': '1.522', 'learning_rate': '1.204e-05', 'epoch': '0.2233'} + 69%|████████████████████▋ | 6208/9000 [4:55:27<3:31:37, 4.55s/it] {'lm_loss': '0.09826', 'visual_loss': '2.754', 'seg_loss': '0.7667', 'dino_loss': '0.9076', 'depth_loss': '0.2355', 'vggt_mse_loss': '0.2339', 'vggt_cos_loss': '0.01623', 'pidinet_loss': '0.2531', 'siglip_loss': '0.5914', 'epoch': '0.2233'} + 69%|████████████████████▋ | 6208/9000 [4:55:31<3:31:37, 4.55s/it][Dataset] cur_step=6209 phase=C_full_covt +[Dataset] cur_step=6209 phase=C_full_covt +[Dataset] cur_step=6209 phase=C_full_covt +[Dataset] cur_step=6209 phase=C_full_covt + 69%|████████████████████▋ | 6209/9000 [4:55:31<3:25:50, 4.43s/it][Dataset] cur_step=6209 phase=C_full_covt +[Dataset] cur_step=6209 phase=C_full_covt[Dataset] cur_step=6209 phase=C_full_covt + +[Dataset] cur_step=6209 phase=C_full_covt + {'loss': '2.9', 'grad_norm': '14.89', 'learning_rate': '1.203e-05', 'epoch': '0.2234'} + 69%|████████████████████▋ | 6209/9000 [4:55:31<3:25:50, 4.43s/it] {'lm_loss': '0.9991', 'visual_loss': '2.917', 'seg_loss': '0.7517', 'dino_loss': '0.8771', 'depth_loss': '0.309', 'vggt_mse_loss': '0.3063', 'vggt_cos_loss': '0.02622', 'pidinet_loss': '0.292', 'siglip_loss': '0.687', 'epoch': '0.2234'} + 69%|████████████████████▋ | 6209/9000 [4:55:35<3:25:50, 4.43s/it][Dataset] cur_step=6210 phase=C_full_covt +[Dataset] cur_step=6210 phase=C_full_covt[Dataset] cur_step=6210 phase=C_full_covt[Dataset] cur_step=6210 phase=C_full_covt + + +[Dataset] cur_step=6210 phase=C_full_covt +[Dataset] cur_step=6210 phase=C_full_covt 69%|████████████████████▋ | 6210/9000 [4:55:35<3:15:53, 4.21s/it] +[Dataset] cur_step=6210 phase=C_full_covt +[Dataset] cur_step=6210 phase=C_full_covt + {'loss': '3.198', 'grad_norm': '1.479', 'learning_rate': '1.203e-05', 'epoch': '0.2234'} + 69%|████████████████████▋ | 6210/9000 [4:55:35<3:15:53, 4.21s/it] {'lm_loss': '0.6068', 'visual_loss': '2.912', 'seg_loss': '0.7364', 'dino_loss': '0.9252', 'depth_loss': '0.2443', 'vggt_mse_loss': '0.2424', 'vggt_cos_loss': '0.01962', 'pidinet_loss': '0.2507', 'siglip_loss': '0.7551', 'epoch': '0.2234'} + 69%|████████████████████▋ | 6210/9000 [4:55:38<3:15:53, 4.21s/it][Dataset] cur_step=6211 phase=C_full_covt +[Dataset] cur_step=6211 phase=C_full_covt +[Dataset] cur_step=6211 phase=C_full_covt +[Dataset] cur_step=6211 phase=C_full_covt[Dataset] cur_step=6211 phase=C_full_covt + + 69%|████████████████████▋ | 6211/9000 [4:55:39<3:14:47, 4.19s/it][Dataset] cur_step=6211 phase=C_full_covt[Dataset] cur_step=6211 phase=C_full_covt + +[Dataset] cur_step=6211 phase=C_full_covt + {'loss': '3.227', 'grad_norm': '2.154', 'learning_rate': '1.202e-05', 'epoch': '0.2234'} + 69%|████████████████████▋ | 6211/9000 [4:55:39<3:14:47, 4.19s/it] {'lm_loss': '1.503', 'visual_loss': '2.828', 'seg_loss': '0.766', 'dino_loss': '0.906', 'depth_loss': '0.2492', 'vggt_mse_loss': '0.2471', 'vggt_cos_loss': '0.02052', 'pidinet_loss': '0.2372', 'siglip_loss': '0.6694', 'epoch': '0.2234'} + 69%|████████████████████▋ | 6211/9000 [4:55:42<3:14:47, 4.19s/it][Dataset] cur_step=6212 phase=C_full_covt +[Dataset] cur_step=6212 phase=C_full_covt +[Dataset] cur_step=6212 phase=C_full_covt + 69%|████████████████████▋ | 6212/9000 [4:55:43<3:11:09, 4.11s/it][Dataset] cur_step=6212 phase=C_full_covt +[Dataset] cur_step=6212 phase=C_full_covt +[Dataset] cur_step=6212 phase=C_full_covt +[Dataset] cur_step=6212 phase=C_full_covt +[Dataset] cur_step=6212 phase=C_full_covt + {'loss': '3.25', 'grad_norm': '3.37', 'learning_rate': '1.201e-05', 'epoch': '0.2235'} + 69%|████████████████████▋ | 6212/9000 [4:55:43<3:11:09, 4.11s/it] {'lm_loss': '0.5788', 'visual_loss': '2.9', 'seg_loss': '0.7116', 'dino_loss': '0.9471', 'depth_loss': '0.2322', 'vggt_mse_loss': '0.2309', 'vggt_cos_loss': '0.01281', 'pidinet_loss': '0.2167', 'siglip_loss': '0.7923', 'epoch': '0.2235'} + 69%|████████████████████▋ | 6212/9000 [4:55:47<3:11:09, 4.11s/it][Dataset] cur_step=6213 phase=C_full_covt +[Dataset] cur_step=6213 phase=C_full_covt +[Dataset] cur_step=6213 phase=C_full_covt[Dataset] cur_step=6213 phase=C_full_covt 69%|████████████████████▋ | 6213/9000 [4:55:47<3:06:54, 4.02s/it] + +[Dataset] cur_step=6213 phase=C_full_covt +[Dataset] cur_step=6213 phase=C_full_covt +[Dataset] cur_step=6213 phase=C_full_covt +[Dataset] cur_step=6213 phase=C_full_covt + {'loss': '3.14', 'grad_norm': '2.511', 'learning_rate': '1.2e-05', 'epoch': '0.2235'} + 69%|████████████████████▋ | 6213/9000 [4:55:47<3:06:54, 4.02s/it] {'lm_loss': '0.1966', 'visual_loss': '2.48', 'seg_loss': '0.6256', 'dino_loss': '0.9075', 'depth_loss': '0.2458', 'vggt_mse_loss': '0.2442', 'vggt_cos_loss': '0.01611', 'pidinet_loss': '0.2085', 'siglip_loss': '0.4926', 'epoch': '0.2235'} + 69%|████████████████████▋ | 6213/9000 [4:55:50<3:06:54, 4.02s/it][Dataset] cur_step=6214 phase=C_full_covt[Dataset] cur_step=6214 phase=C_full_covt + + 69%|████████████████████▋ | 6214/9000 [4:55:51<3:04:51, 3.98s/it][Dataset] cur_step=6214 phase=C_full_covt +[Dataset] cur_step=6214 phase=C_full_covt +[Dataset] cur_step=6214 phase=C_full_covt +[Dataset] cur_step=6214 phase=C_full_covt +[Dataset] cur_step=6214 phase=C_full_covt +[Dataset] cur_step=6214 phase=C_full_covt + {'loss': '3.221', 'grad_norm': '2.074', 'learning_rate': '1.199e-05', 'epoch': '0.2235'} + 69%|████████████████████▋ | 6214/9000 [4:55:51<3:04:51, 3.98s/it] {'lm_loss': '0.9452', 'visual_loss': '2.684', 'seg_loss': '0.7232', 'dino_loss': '0.9285', 'depth_loss': '0.2251', 'vggt_mse_loss': '0.2237', 'vggt_cos_loss': '0.01423', 'pidinet_loss': '0.224', 'siglip_loss': '0.5829', 'epoch': '0.2235'} + 69%|████████████████████▋ | 6214/9000 [4:55:54<3:04:51, 3.98s/it][Dataset] cur_step=6215 phase=C_full_covt[Dataset] cur_step=6215 phase=C_full_covt + +[Dataset] cur_step=6215 phase=C_full_covt +[Dataset] cur_step=6215 phase=C_full_covt +[Dataset] cur_step=6215 phase=C_full_covt +[Dataset] cur_step=6215 phase=C_full_covt +[Dataset] cur_step=6215 phase=C_full_covt[Dataset] cur_step=6215 phase=C_full_covt + + 69%|████████████████████▋ | 6215/9000 [4:55:55<3:08:08, 4.05s/it] {'loss': '3.023', 'grad_norm': '1.452', 'learning_rate': '1.199e-05', 'epoch': '0.2236'} + 69%|████████████████████▋ | 6215/9000 [4:55:55<3:08:08, 4.05s/it] {'lm_loss': '1.008', 'visual_loss': '2.769', 'seg_loss': '0.8084', 'dino_loss': '0.9101', 'depth_loss': '0.2143', 'vggt_mse_loss': '0.2126', 'vggt_cos_loss': '0.01649', 'pidinet_loss': '0.1935', 'siglip_loss': '0.6424', 'epoch': '0.2236'} + 69%|████████████████████▋ | 6215/9000 [4:55:58<3:08:08, 4.05s/it][Dataset] cur_step=6216 phase=C_full_covt +[Dataset] cur_step=6216 phase=C_full_covt + 69%|████████████████████▋ | 6216/9000 [4:55:59<3:09:15, 4.08s/it][Dataset] cur_step=6216 phase=C_full_covt[Dataset] cur_step=6216 phase=C_full_covt + +[Dataset] cur_step=6216 phase=C_full_covt +[Dataset] cur_step=6216 phase=C_full_covt +[Dataset] cur_step=6216 phase=C_full_covt +[Dataset] cur_step=6216 phase=C_full_covt + {'loss': '3.264', 'grad_norm': '3.108', 'learning_rate': '1.198e-05', 'epoch': '0.2236'} + 69%|████████████████████▋ | 6216/9000 [4:55:59<3:09:15, 4.08s/it] {'lm_loss': '0.5267', 'visual_loss': '2.641', 'seg_loss': '0.6503', 'dino_loss': '0.8976', 'depth_loss': '0.2923', 'vggt_mse_loss': '0.2905', 'vggt_cos_loss': '0.01768', 'pidinet_loss': '0.227', 'siglip_loss': '0.5739', 'epoch': '0.2236'} + 69%|████████████████████▋ | 6216/9000 [4:56:02<3:09:15, 4.08s/it][Dataset] cur_step=6217 phase=C_full_covt +[Dataset] cur_step=6217 phase=C_full_covt +[Dataset] cur_step=6217 phase=C_full_covt[Dataset] cur_step=6217 phase=C_full_covt + +[Dataset] cur_step=6217 phase=C_full_covt[Dataset] cur_step=6217 phase=C_full_covt + + 69%|████████████████████▋ | 6217/9000 [4:56:06<3:44:55, 4.85s/it][Dataset] cur_step=6217 phase=C_full_covt +[Dataset] cur_step=6217 phase=C_full_covt + {'loss': '3.049', 'grad_norm': '2.061', 'learning_rate': '1.197e-05', 'epoch': '0.2237'} + 69%|████████████████████▋ | 6217/9000 [4:56:06<3:44:55, 4.85s/it] {'lm_loss': '0.6883', 'visual_loss': '2.918', 'seg_loss': '0.8405', 'dino_loss': '0.9351', 'depth_loss': '0.34', 'vggt_mse_loss': '0.3375', 'vggt_cos_loss': '0.02526', 'pidinet_loss': '0.1756', 'siglip_loss': '0.6269', 'epoch': '0.2237'} + 69%|████████████████████▋ | 6217/9000 [4:56:09<3:44:55, 4.85s/it][Dataset] cur_step=6218 phase=C_full_covt +[Dataset] cur_step=6218 phase=C_full_covt +[Dataset] cur_step=6218 phase=C_full_covt +[Dataset] cur_step=6218 phase=C_full_covt +[Dataset] cur_step=6218 phase=C_full_covt +[Dataset] cur_step=6218 phase=C_full_covt +[Dataset] cur_step=6218 phase=C_full_covt +[Dataset] cur_step=6218 phase=C_full_covt + 69%|████████████████████▋ | 6218/9000 [4:56:10<3:31:59, 4.57s/it] {'loss': '3.171', 'grad_norm': '2.122', 'learning_rate': '1.196e-05', 'epoch': '0.2237'} + 69%|████████████████████▋ | 6218/9000 [4:56:10<3:31:59, 4.57s/it] {'lm_loss': '0.527', 'visual_loss': '2.935', 'seg_loss': '0.7006', 'dino_loss': '0.9284', 'depth_loss': '0.319', 'vggt_mse_loss': '0.3168', 'vggt_cos_loss': '0.02194', 'pidinet_loss': '0.2511', 'siglip_loss': '0.7358', 'epoch': '0.2237'} + 69%|████████████████████▋ | 6218/9000 [4:56:13<3:31:59, 4.57s/it][Dataset] cur_step=6219 phase=C_full_covt +[Dataset] cur_step=6219 phase=C_full_covt +[Dataset] cur_step=6219 phase=C_full_covt +[Dataset] cur_step=6219 phase=C_full_covt +[Dataset] cur_step=6219 phase=C_full_covt +[Dataset] cur_step=6219 phase=C_full_covt 69%|████████████████████▋ | 6219/9000 [4:56:14<3:20:51, 4.33s/it] +[Dataset] cur_step=6219 phase=C_full_covt +[Dataset] cur_step=6219 phase=C_full_covt + {'loss': '3.32', 'grad_norm': '2.802', 'learning_rate': '1.196e-05', 'epoch': '0.2237'} + 69%|████████████████████▋ | 6219/9000 [4:56:14<3:20:51, 4.33s/it] {'lm_loss': '0.6074', 'visual_loss': '2.62', 'seg_loss': '0.6499', 'dino_loss': '0.9188', 'depth_loss': '0.1981', 'vggt_mse_loss': '0.1969', 'vggt_cos_loss': '0.0121', 'pidinet_loss': '0.2386', 'siglip_loss': '0.615', 'epoch': '0.2237'} + 69%|████████████████████▋ | 6219/9000 [4:56:17<3:20:51, 4.33s/it][Dataset] cur_step=6220 phase=C_full_covt[Dataset] cur_step=6220 phase=C_full_covt + + 69%|████████████████████▋ | 6220/9000 [4:56:19<3:41:03, 4.77s/it][Dataset] cur_step=6220 phase=C_full_covt +[Dataset] cur_step=6220 phase=C_full_covt +[Dataset] cur_step=6220 phase=C_full_covt +[Dataset] cur_step=6220 phase=C_full_covt +[Dataset] cur_step=6220 phase=C_full_covt[Dataset] cur_step=6220 phase=C_full_covt + + {'loss': '3.028', 'grad_norm': '1.766', 'learning_rate': '1.195e-05', 'epoch': '0.2238'} + 69%|████████████████████▋ | 6220/9000 [4:56:19<3:41:03, 4.77s/it] {'lm_loss': '0.7644', 'visual_loss': '2.942', 'seg_loss': '0.8953', 'dino_loss': '0.9231', 'depth_loss': '0.2147', 'vggt_mse_loss': '0.2133', 'vggt_cos_loss': '0.01433', 'pidinet_loss': '0.2443', 'siglip_loss': '0.6642', 'epoch': '0.2238'} + 69%|████████████████████▋ | 6220/9000 [4:56:22<3:41:03, 4.77s/it][Dataset] cur_step=6221 phase=C_full_covt +[Dataset] cur_step=6221 phase=C_full_covt +[Dataset] cur_step=6221 phase=C_full_covt +[Dataset] cur_step=6221 phase=C_full_covt +[Dataset] cur_step=6221 phase=C_full_covt[Dataset] cur_step=6221 phase=C_full_covt + + 69%|████████████████████▋ | 6221/9000 [4:56:23<3:27:24, 4.48s/it][Dataset] cur_step=6221 phase=C_full_covt +[Dataset] cur_step=6221 phase=C_full_covt + {'loss': '3.375', 'grad_norm': '2.22', 'learning_rate': '1.194e-05', 'epoch': '0.2238'} + 69%|████████████████████▋ | 6221/9000 [4:56:23<3:27:24, 4.48s/it] {'lm_loss': '0.8229', 'visual_loss': '2.714', 'seg_loss': '0.7409', 'dino_loss': '0.9118', 'depth_loss': '0.2248', 'vggt_mse_loss': '0.223', 'vggt_cos_loss': '0.01777', 'pidinet_loss': '0.2387', 'siglip_loss': '0.5981', 'epoch': '0.2238'} + 69%|████████████████████▋ | 6221/9000 [4:56:26<3:27:24, 4.48s/it][Dataset] cur_step=6222 phase=C_full_covt +[Dataset] cur_step=6222 phase=C_full_covt +[Dataset] cur_step=6222 phase=C_full_covt +[Dataset] cur_step=6222 phase=C_full_covt +[Dataset] cur_step=6222 phase=C_full_covt + 69%|████████████████████▋ | 6222/9000 [4:56:27<3:15:11, 4.22s/it][Dataset] cur_step=6222 phase=C_full_covt[Dataset] cur_step=6222 phase=C_full_covt + +[Dataset] cur_step=6222 phase=C_full_covt + {'loss': '3.282', 'grad_norm': '2.996', 'learning_rate': '1.193e-05', 'epoch': '0.2238'} + 69%|████████████████████▋ | 6222/9000 [4:56:27<3:15:11, 4.22s/it] {'lm_loss': '0.7714', 'visual_loss': '2.641', 'seg_loss': '0.6463', 'dino_loss': '0.8993', 'depth_loss': '0.2105', 'vggt_mse_loss': '0.2088', 'vggt_cos_loss': '0.01706', 'pidinet_loss': '0.265', 'siglip_loss': '0.6201', 'epoch': '0.2238'} + 69%|████████████████████▋ | 6222/9000 [4:56:30<3:15:11, 4.22s/it][Dataset] cur_step=6223 phase=C_full_covt[Dataset] cur_step=6223 phase=C_full_covt +[Dataset] cur_step=6223 phase=C_full_covt + +[Dataset] cur_step=6223 phase=C_full_covt 69%|████████████████████▋ | 6223/9000 [4:56:31<3:09:16, 4.09s/it] +[Dataset] cur_step=6223 phase=C_full_covt[Dataset] cur_step=6223 phase=C_full_covt + +[Dataset] cur_step=6223 phase=C_full_covt +[Dataset] cur_step=6223 phase=C_full_covt + {'loss': '3.295', 'grad_norm': '2.429', 'learning_rate': '1.192e-05', 'epoch': '0.2239'} + 69%|████████████████████▋ | 6223/9000 [4:56:31<3:09:16, 4.09s/it] {'lm_loss': '0.1651', 'visual_loss': '2.728', 'seg_loss': '0.7819', 'dino_loss': '0.9305', 'depth_loss': '0.2664', 'vggt_mse_loss': '0.264', 'vggt_cos_loss': '0.02396', 'pidinet_loss': '0.1907', 'siglip_loss': '0.5586', 'epoch': '0.2239'} + 69%|████████████████████▋ | 6223/9000 [4:56:34<3:09:16, 4.09s/it][Dataset] cur_step=6224 phase=C_full_covt +[Dataset] cur_step=6224 phase=C_full_covt +[Dataset] cur_step=6224 phase=C_full_covt 69%|████████████████████▋ | 6224/9000 [4:56:37<3:36:40, 4.68s/it] +[Dataset] cur_step=6224 phase=C_full_covt +[Dataset] cur_step=6224 phase=C_full_covt[Dataset] cur_step=6224 phase=C_full_covt +[Dataset] cur_step=6224 phase=C_full_covt + +[Dataset] cur_step=6224 phase=C_full_covt + {'loss': '3.106', 'grad_norm': '1.559', 'learning_rate': '1.192e-05', 'epoch': '0.2239'} + 69%|████████████████████▋ | 6224/9000 [4:56:37<3:36:40, 4.68s/it] {'lm_loss': '0.8569', 'visual_loss': '2.683', 'seg_loss': '0.7965', 'dino_loss': '0.9372', 'depth_loss': '0.2477', 'vggt_mse_loss': '0.2459', 'vggt_cos_loss': '0.01755', 'pidinet_loss': '0.2144', 'siglip_loss': '0.4874', 'epoch': '0.2239'} + 69%|████████████████████▋ | 6224/9000 [4:56:39<3:36:40, 4.68s/it][Dataset] cur_step=6225 phase=C_full_covt +[Dataset] cur_step=6225 phase=C_full_covt +[Dataset] cur_step=6225 phase=C_full_covt[Dataset] cur_step=6225 phase=C_full_covt + +[Dataset] cur_step=6225 phase=C_full_covt[Dataset] cur_step=6225 phase=C_full_covt + +[Dataset] cur_step=6225 phase=C_full_covt + 69%|████████████████████▊ | 6225/9000 [4:56:41<3:27:14, 4.48s/it][Dataset] cur_step=6225 phase=C_full_covt + {'loss': '3.279', 'grad_norm': '3.977', 'learning_rate': '1.191e-05', 'epoch': '0.2239'} + 69%|████████████████████▊ | 6225/9000 [4:56:41<3:27:14, 4.48s/it] {'lm_loss': '0.7204', 'visual_loss': '2.186', 'seg_loss': '0.6628', 'dino_loss': '0.8521', 'depth_loss': '0.1852', 'vggt_mse_loss': '0.1843', 'vggt_cos_loss': '0.009227', 'pidinet_loss': '0.1811', 'siglip_loss': '0.3046', 'epoch': '0.2239'} + 69%|████████████████████▊ | 6225/9000 [4:56:45<3:27:14, 4.48s/it][Dataset] cur_step=6226 phase=C_full_covt + 69%|████████████████████▊ | 6226/9000 [4:56:45<3:28:33, 4.51s/it][Dataset] cur_step=6226 phase=C_full_covt +[Dataset] cur_step=6226 phase=C_full_covt +[Dataset] cur_step=6226 phase=C_full_covt +[Dataset] cur_step=6226 phase=C_full_covt +[Dataset] cur_step=6226 phase=C_full_covt +[Dataset] cur_step=6226 phase=C_full_covt +[Dataset] cur_step=6226 phase=C_full_covt + {'loss': '3.02', 'grad_norm': '1.622', 'learning_rate': '1.19e-05', 'epoch': '0.224'} + 69%|████████████████████▊ | 6226/9000 [4:56:45<3:28:33, 4.51s/it] {'lm_loss': '0.7982', 'visual_loss': '2.58', 'seg_loss': '0.7658', 'dino_loss': '0.8851', 'depth_loss': '0.2389', 'vggt_mse_loss': '0.2369', 'vggt_cos_loss': '0.02087', 'pidinet_loss': '0.2056', 'siglip_loss': '0.4847', 'epoch': '0.224'} + 69%|████████████████████▊ | 6226/9000 [4:56:48<3:28:33, 4.51s/it][Dataset] cur_step=6227 phase=C_full_covt +[Dataset] cur_step=6227 phase=C_full_covt + 69%|████████████████████▊ | 6227/9000 [4:56:49<3:25:39, 4.45s/it][Dataset] cur_step=6227 phase=C_full_covt[Dataset] cur_step=6227 phase=C_full_covt + +[Dataset] cur_step=6227 phase=C_full_covt +[Dataset] cur_step=6227 phase=C_full_covt +[Dataset] cur_step=6227 phase=C_full_covt +[Dataset] cur_step=6227 phase=C_full_covt + {'loss': '3.375', 'grad_norm': '2.217', 'learning_rate': '1.189e-05', 'epoch': '0.224'} + 69%|████████████████████▊ | 6227/9000 [4:56:49<3:25:39, 4.45s/it] {'lm_loss': '0.0126', 'visual_loss': '2.682', 'seg_loss': '0.7344', 'dino_loss': '0.9285', 'depth_loss': '0.2644', 'vggt_mse_loss': '0.2624', 'vggt_cos_loss': '0.02006', 'pidinet_loss': '0.2259', 'siglip_loss': '0.5292', 'epoch': '0.224'} + 69%|████████████████████▊ | 6227/9000 [4:56:53<3:25:39, 4.45s/it][Dataset] cur_step=6228 phase=C_full_covt[Dataset] cur_step=6228 phase=C_full_covt + +[Dataset] cur_step=6228 phase=C_full_covt 69%|████████████████████▊ | 6228/9000 [4:56:53<3:13:43, 4.19s/it] +[Dataset] cur_step=6228 phase=C_full_covt +[Dataset] cur_step=6228 phase=C_full_covt +[Dataset] cur_step=6228 phase=C_full_covt +[Dataset] cur_step=6228 phase=C_full_covt +[Dataset] cur_step=6228 phase=C_full_covt + {'loss': '3.175', 'grad_norm': '2.315', 'learning_rate': '1.188e-05', 'epoch': '0.2241'} + 69%|████████████████████▊ | 6228/9000 [4:56:53<3:13:43, 4.19s/it] {'lm_loss': '0.5616', 'visual_loss': '2.447', 'seg_loss': '0.6824', 'dino_loss': '0.9023', 'depth_loss': '0.2779', 'vggt_mse_loss': '0.2763', 'vggt_cos_loss': '0.01553', 'pidinet_loss': '0.1944', 'siglip_loss': '0.3901', 'epoch': '0.2241'} + 69%|████████████████████▊ | 6228/9000 [4:56:56<3:13:43, 4.19s/it][Dataset] cur_step=6229 phase=C_full_covt +[Dataset] cur_step=6229 phase=C_full_covt + 69%|████████████████████▊ | 6229/9000 [4:56:57<3:08:57, 4.09s/it][Dataset] cur_step=6229 phase=C_full_covt +[Dataset] cur_step=6229 phase=C_full_covt +[Dataset] cur_step=6229 phase=C_full_covt[Dataset] cur_step=6229 phase=C_full_covt + +[Dataset] cur_step=6229 phase=C_full_covt +[Dataset] cur_step=6229 phase=C_full_covt + {'loss': '3.076', 'grad_norm': '2.601', 'learning_rate': '1.188e-05', 'epoch': '0.2241'} + 69%|████████████████████▊ | 6229/9000 [4:56:57<3:08:57, 4.09s/it] {'lm_loss': '0.6834', 'visual_loss': '2.664', 'seg_loss': '0.7446', 'dino_loss': '0.9187', 'depth_loss': '0.2279', 'vggt_mse_loss': '0.2262', 'vggt_cos_loss': '0.01657', 'pidinet_loss': '0.2712', 'siglip_loss': '0.5017', 'epoch': '0.2241'} + 69%|████████████████████▊ | 6229/9000 [4:57:00<3:08:57, 4.09s/it][Dataset] cur_step=6230 phase=C_full_covt +[Dataset] cur_step=6230 phase=C_full_covt +[Dataset] cur_step=6230 phase=C_full_covt[Dataset] cur_step=6230 phase=C_full_covt + +[Dataset] cur_step=6230 phase=C_full_covt + 69%|████████████████████▊ | 6230/9000 [4:57:01<3:06:21, 4.04s/it][Dataset] cur_step=6230 phase=C_full_covt +[Dataset] cur_step=6230 phase=C_full_covt +[Dataset] cur_step=6230 phase=C_full_covt + {'loss': '3.278', 'grad_norm': '3.296', 'learning_rate': '1.187e-05', 'epoch': '0.2241'} + 69%|████████████████████▊ | 6230/9000 [4:57:01<3:06:21, 4.04s/it] {'lm_loss': '0.4198', 'visual_loss': '2.569', 'seg_loss': '0.6563', 'dino_loss': '0.9299', 'depth_loss': '0.3478', 'vggt_mse_loss': '0.345', 'vggt_cos_loss': '0.02832', 'pidinet_loss': '0.2159', 'siglip_loss': '0.4194', 'epoch': '0.2241'} + 69%|████████████████████▊ | 6230/9000 [4:57:04<3:06:21, 4.04s/it][Dataset] cur_step=6231 phase=C_full_covt +[Dataset] cur_step=6231 phase=C_full_covt + 69%|████████████████████▊ | 6231/9000 [4:57:05<3:08:20, 4.08s/it][Dataset] cur_step=6231 phase=C_full_covt +[Dataset] cur_step=6231 phase=C_full_covt +[Dataset] cur_step=6231 phase=C_full_covt +[Dataset] cur_step=6231 phase=C_full_covt +[Dataset] cur_step=6231 phase=C_full_covt +[Dataset] cur_step=6231 phase=C_full_covt + {'loss': '3.145', 'grad_norm': '4.343', 'learning_rate': '1.186e-05', 'epoch': '0.2242'} + 69%|████████████████████▊ | 6231/9000 [4:57:05<3:08:20, 4.08s/it] {'lm_loss': '0.02142', 'visual_loss': '2.718', 'seg_loss': '0.6975', 'dino_loss': '0.8878', 'depth_loss': '0.2289', 'vggt_mse_loss': '0.2272', 'vggt_cos_loss': '0.01748', 'pidinet_loss': '0.2564', 'siglip_loss': '0.6476', 'epoch': '0.2242'} + 69%|████████████████████▊ | 6231/9000 [4:57:11<3:08:20, 4.08s/it][Dataset] cur_step=6232 phase=C_full_covt + 69%|████████████████████▊ | 6232/9000 [4:57:11<3:33:32, 4.63s/it][Dataset] cur_step=6232 phase=C_full_covt +[Dataset] cur_step=6232 phase=C_full_covt +[Dataset] cur_step=6232 phase=C_full_covt +[Dataset] cur_step=6232 phase=C_full_covt[Dataset] cur_step=6232 phase=C_full_covt +[Dataset] cur_step=6232 phase=C_full_covt + +[Dataset] cur_step=6232 phase=C_full_covt + {'loss': '3.007', 'grad_norm': '1.607', 'learning_rate': '1.185e-05', 'epoch': '0.2242'} + 69%|████████████████████▊ | 6232/9000 [4:57:11<3:33:32, 4.63s/it] {'lm_loss': '0.4596', 'visual_loss': '2.832', 'seg_loss': '0.7035', 'dino_loss': '0.9054', 'depth_loss': '0.2223', 'vggt_mse_loss': '0.2207', 'vggt_cos_loss': '0.01566', 'pidinet_loss': '0.3044', 'siglip_loss': '0.6967', 'epoch': '0.2242'} + 69%|████████████████████▊ | 6232/9000 [4:57:15<3:33:32, 4.63s/it][Dataset] cur_step=6233 phase=C_full_covt + 69%|████████████████████▊ | 6233/9000 [4:57:15<3:26:39, 4.48s/it][Dataset] cur_step=6233 phase=C_full_covt +[Dataset] cur_step=6233 phase=C_full_covt[Dataset] cur_step=6233 phase=C_full_covt + +[Dataset] cur_step=6233 phase=C_full_covt +[Dataset] cur_step=6233 phase=C_full_covt +[Dataset] cur_step=6233 phase=C_full_covt[Dataset] cur_step=6233 phase=C_full_covt + + {'loss': '3.241', 'grad_norm': '3.065', 'learning_rate': '1.185e-05', 'epoch': '0.2242'} + 69%|████████████████████▊ | 6233/9000 [4:57:15<3:26:39, 4.48s/it] {'lm_loss': '0.5638', 'visual_loss': '2.57', 'seg_loss': '0.6588', 'dino_loss': '0.8984', 'depth_loss': '0.2391', 'vggt_mse_loss': '0.2375', 'vggt_cos_loss': '0.01651', 'pidinet_loss': '0.248', 'siglip_loss': '0.5259', 'epoch': '0.2242'} + 69%|████████████████████▊ | 6233/9000 [4:57:21<3:26:39, 4.48s/it][Dataset] cur_step=6234 phase=C_full_covt[Dataset] cur_step=6234 phase=C_full_covt + +[Dataset] cur_step=6234 phase=C_full_covt + 69%|████████████████████▊ | 6234/9000 [4:57:22<3:59:26, 5.19s/it][Dataset] cur_step=6234 phase=C_full_covt +[Dataset] cur_step=6234 phase=C_full_covt +[Dataset] cur_step=6234 phase=C_full_covt +[Dataset] cur_step=6234 phase=C_full_covt +[Dataset] cur_step=6234 phase=C_full_covt + {'loss': '3.191', 'grad_norm': '2.333', 'learning_rate': '1.184e-05', 'epoch': '0.2243'} + 69%|████████████████████▊ | 6234/9000 [4:57:22<3:59:26, 5.19s/it] {'lm_loss': '0.6539', 'visual_loss': '2.546', 'seg_loss': '0.7541', 'dino_loss': '0.9298', 'depth_loss': '0.2064', 'vggt_mse_loss': '0.2052', 'vggt_cos_loss': '0.0125', 'pidinet_loss': '0.2395', 'siglip_loss': '0.4165', 'epoch': '0.2243'} + 69%|████████████████████▊ | 6234/9000 [4:57:25<3:59:26, 5.19s/it][Dataset] cur_step=6235 phase=C_full_covt +[Dataset] cur_step=6235 phase=C_full_covt[Dataset] cur_step=6235 phase=C_full_covt + +[Dataset] cur_step=6235 phase=C_full_covt[Dataset] cur_step=6235 phase=C_full_covt + +[Dataset] cur_step=6235 phase=C_full_covt + 69%|████████████████████▊ | 6235/9000 [4:57:26<3:42:47, 4.83s/it][Dataset] cur_step=6235 phase=C_full_covt +[Dataset] cur_step=6235 phase=C_full_covt + {'loss': '3.115', 'grad_norm': '4.648', 'learning_rate': '1.183e-05', 'epoch': '0.2243'} + 69%|████████████████████▊ | 6235/9000 [4:57:26<3:42:47, 4.83s/it] {'lm_loss': '0.007421', 'visual_loss': '2.657', 'seg_loss': '0.6711', 'dino_loss': '0.9202', 'depth_loss': '0.2694', 'vggt_mse_loss': '0.2673', 'vggt_cos_loss': '0.02045', 'pidinet_loss': '0.2437', 'siglip_loss': '0.5521', 'epoch': '0.2243'} + 69%|████████████████████▊ | 6235/9000 [4:57:29<3:42:47, 4.83s/it][Dataset] cur_step=6236 phase=C_full_covt +[Dataset] cur_step=6236 phase=C_full_covt +[Dataset] cur_step=6236 phase=C_full_covt +[Dataset] cur_step=6236 phase=C_full_covt[Dataset] cur_step=6236 phase=C_full_covt + +[Dataset] cur_step=6236 phase=C_full_covt[Dataset] cur_step=6236 phase=C_full_covt + + 69%|████████████████████▊ | 6236/9000 [4:57:30<3:33:12, 4.63s/it][Dataset] cur_step=6236 phase=C_full_covt + {'loss': '3.116', 'grad_norm': '1.824', 'learning_rate': '1.182e-05', 'epoch': '0.2243'} + 69%|████████████████████▊ | 6236/9000 [4:57:30<3:33:12, 4.63s/it] {'lm_loss': '0.3843', 'visual_loss': '2.773', 'seg_loss': '0.8199', 'dino_loss': '0.8993', 'depth_loss': '0.3135', 'vggt_mse_loss': '0.3115', 'vggt_cos_loss': '0.02019', 'pidinet_loss': '0.2398', 'siglip_loss': '0.5008', 'epoch': '0.2243'} + 69%|████████████████████▊ | 6236/9000 [4:57:33<3:33:12, 4.63s/it][Dataset] cur_step=6237 phase=C_full_covt +[Dataset] cur_step=6237 phase=C_full_covt +[Dataset] cur_step=6237 phase=C_full_covt[Dataset] cur_step=6237 phase=C_full_covt + +[Dataset] cur_step=6237 phase=C_full_covt +[Dataset] cur_step=6237 phase=C_full_covt +[Dataset] cur_step=6237 phase=C_full_covt +[Dataset] cur_step=6237 phase=C_full_covt + 69%|████████████████████▊ | 6237/9000 [4:57:34<3:29:42, 4.55s/it] {'loss': '3.122', 'grad_norm': '2.816', 'learning_rate': '1.181e-05', 'epoch': '0.2244'} + 69%|████████████████████▊ | 6237/9000 [4:57:34<3:29:42, 4.55s/it] {'lm_loss': '0.7685', 'visual_loss': '2.536', 'seg_loss': '0.7328', 'dino_loss': '0.8891', 'depth_loss': '0.2306', 'vggt_mse_loss': '0.2294', 'vggt_cos_loss': '0.01219', 'pidinet_loss': '0.1865', 'siglip_loss': '0.4966', 'epoch': '0.2244'} + 69%|████████████████████▊ | 6237/9000 [4:57:38<3:29:42, 4.55s/it][Dataset] cur_step=6238 phase=C_full_covt +[Dataset] cur_step=6238 phase=C_full_covt +[Dataset] cur_step=6238 phase=C_full_covt[Dataset] cur_step=6238 phase=C_full_covt + +[Dataset] cur_step=6238 phase=C_full_covt + 69%|████████████████████▊ | 6238/9000 [4:57:39<3:23:19, 4.42s/it][Dataset] cur_step=6238 phase=C_full_covt[Dataset] cur_step=6238 phase=C_full_covt + +[Dataset] cur_step=6238 phase=C_full_covt + {'loss': '3.208', 'grad_norm': '2.035', 'learning_rate': '1.181e-05', 'epoch': '0.2244'} + 69%|████████████████████▊ | 6238/9000 [4:57:39<3:23:19, 4.42s/it] {'lm_loss': '0.3009', 'visual_loss': '2.826', 'seg_loss': '0.7345', 'dino_loss': '0.8978', 'depth_loss': '0.2063', 'vggt_mse_loss': '0.2048', 'vggt_cos_loss': '0.01583', 'pidinet_loss': '0.2953', 'siglip_loss': '0.6918', 'epoch': '0.2244'} + 69%|████████████████████▊ | 6238/9000 [4:57:42<3:23:19, 4.42s/it][Dataset] cur_step=6239 phase=C_full_covt +[Dataset] cur_step=6239 phase=C_full_covt[Dataset] cur_step=6239 phase=C_full_covt + +[Dataset] cur_step=6239 phase=C_full_covt +[Dataset] cur_step=6239 phase=C_full_covt[Dataset] cur_step=6239 phase=C_full_covt + + 69%|████████████████████▊ | 6239/9000 [4:57:43<3:17:45, 4.30s/it][Dataset] cur_step=6239 phase=C_full_covt[Dataset] cur_step=6239 phase=C_full_covt + + {'loss': '3.171', 'grad_norm': '5.076', 'learning_rate': '1.18e-05', 'epoch': '0.2244'} + 69%|████████████████████▊ | 6239/9000 [4:57:43<3:17:45, 4.30s/it] {'lm_loss': '0.5861', 'visual_loss': '2.549', 'seg_loss': '0.7284', 'dino_loss': '0.8912', 'depth_loss': '0.1755', 'vggt_mse_loss': '0.1744', 'vggt_cos_loss': '0.01086', 'pidinet_loss': '0.2434', 'siglip_loss': '0.5105', 'epoch': '0.2244'} + 69%|████████████████████▊ | 6239/9000 [4:57:46<3:17:45, 4.30s/it][Dataset] cur_step=6240 phase=C_full_covt +[Dataset] cur_step=6240 phase=C_full_covt +[Dataset] cur_step=6240 phase=C_full_covt + 69%|████████████████████▊ | 6240/9000 [4:57:47<3:14:11, 4.22s/it][Dataset] cur_step=6240 phase=C_full_covt +[Dataset] cur_step=6240 phase=C_full_covt +[Dataset] cur_step=6240 phase=C_full_covt +[Dataset] cur_step=6240 phase=C_full_covt +[Dataset] cur_step=6240 phase=C_full_covt + {'loss': '3.335', 'grad_norm': '3.58', 'learning_rate': '1.179e-05', 'epoch': '0.2245'} + 69%|████████████████████▊ | 6240/9000 [4:57:47<3:14:11, 4.22s/it] {'lm_loss': '0.4204', 'visual_loss': '2.73', 'seg_loss': '0.6578', 'dino_loss': '0.9186', 'depth_loss': '0.2545', 'vggt_mse_loss': '0.2526', 'vggt_cos_loss': '0.01862', 'pidinet_loss': '0.2445', 'siglip_loss': '0.6543', 'epoch': '0.2245'} + 69%|████████████████████▊ | 6240/9000 [4:57:50<3:14:11, 4.22s/it][Dataset] cur_step=6241 phase=C_full_covt +[Dataset] cur_step=6241 phase=C_full_covt +[Dataset] cur_step=6241 phase=C_full_covt[Dataset] cur_step=6241 phase=C_full_covt +[Dataset] cur_step=6241 phase=C_full_covt + +[Dataset] cur_step=6241 phase=C_full_covt +[Dataset] cur_step=6241 phase=C_full_covt 69%|████████████████████▊ | 6241/9000 [4:57:51<3:10:20, 4.14s/it] +[Dataset] cur_step=6241 phase=C_full_covt + {'loss': '3.177', 'grad_norm': '5.295', 'learning_rate': '1.178e-05', 'epoch': '0.2245'} + 69%|████████████████████▊ | 6241/9000 [4:57:51<3:10:20, 4.14s/it] {'lm_loss': '0.3682', 'visual_loss': '2.448', 'seg_loss': '0.6229', 'dino_loss': '0.8826', 'depth_loss': '0.1903', 'vggt_mse_loss': '0.1891', 'vggt_cos_loss': '0.01208', 'pidinet_loss': '0.174', 'siglip_loss': '0.578', 'epoch': '0.2245'} + 69%|████████████████████▊ | 6241/9000 [4:57:54<3:10:20, 4.14s/it][Dataset] cur_step=6242 phase=C_full_covt +[Dataset] cur_step=6242 phase=C_full_covt +[Dataset] cur_step=6242 phase=C_full_covt +[Dataset] cur_step=6242 phase=C_full_covt 69%|████████████████████▊ | 6242/9000 [4:57:55<3:10:11, 4.14s/it] +[Dataset] cur_step=6242 phase=C_full_covt +[Dataset] cur_step=6242 phase=C_full_covt +[Dataset] cur_step=6242 phase=C_full_covt +[Dataset] cur_step=6242 phase=C_full_covt + {'loss': '3.034', 'grad_norm': '4.461', 'learning_rate': '1.178e-05', 'epoch': '0.2246'} + 69%|████████████████████▊ | 6242/9000 [4:57:55<3:10:11, 4.14s/it] {'lm_loss': '0.6735', 'visual_loss': '2.94', 'seg_loss': '0.716', 'dino_loss': '0.9442', 'depth_loss': '0.304', 'vggt_mse_loss': '0.3016', 'vggt_cos_loss': '0.02468', 'pidinet_loss': '0.2585', 'siglip_loss': '0.717', 'epoch': '0.2246'} + 69%|████████████████████▊ | 6242/9000 [4:57:58<3:10:11, 4.14s/it][Dataset] cur_step=6243 phase=C_full_covt + 69%|████████████████████▊ | 6243/9000 [4:57:59<3:08:08, 4.09s/it][Dataset] cur_step=6243 phase=C_full_covt[Dataset] cur_step=6243 phase=C_full_covt + +[Dataset] cur_step=6243 phase=C_full_covt +[Dataset] cur_step=6243 phase=C_full_covt[Dataset] cur_step=6243 phase=C_full_covt + +[Dataset] cur_step=6243 phase=C_full_covt +[Dataset] cur_step=6243 phase=C_full_covt + {'loss': '3.395', 'grad_norm': '2.333', 'learning_rate': '1.177e-05', 'epoch': '0.2246'} + 69%|████████████████████▊ | 6243/9000 [4:57:59<3:08:08, 4.09s/it] {'lm_loss': '0.4776', 'visual_loss': '2.56', 'seg_loss': '0.4274', 'dino_loss': '0.8909', 'depth_loss': '0.2384', 'vggt_mse_loss': '0.2364', 'vggt_cos_loss': '0.01981', 'pidinet_loss': '0.3223', 'siglip_loss': '0.6815', 'epoch': '0.2246'} + 69%|████████████████████▊ | 6243/9000 [4:58:02<3:08:08, 4.09s/it][Dataset] cur_step=6244 phase=C_full_covt[Dataset] cur_step=6244 phase=C_full_covt + +[Dataset] cur_step=6244 phase=C_full_covt[Dataset] cur_step=6244 phase=C_full_covt + +[Dataset] cur_step=6244 phase=C_full_covt +[Dataset] cur_step=6244 phase=C_full_covt +[Dataset] cur_step=6244 phase=C_full_covt +[Dataset] cur_step=6244 phase=C_full_covt + 69%|████████████████████▊ | 6244/9000 [4:58:03<3:12:13, 4.18s/it] {'loss': '3.161', 'grad_norm': '2.468', 'learning_rate': '1.176e-05', 'epoch': '0.2246'} + 69%|████████████████████▊ | 6244/9000 [4:58:03<3:12:13, 4.18s/it] {'lm_loss': '0.005575', 'visual_loss': '2.89', 'seg_loss': '0.8625', 'dino_loss': '0.9199', 'depth_loss': '0.2489', 'vggt_mse_loss': '0.2469', 'vggt_cos_loss': '0.02026', 'pidinet_loss': '0.2514', 'siglip_loss': '0.6068', 'epoch': '0.2246'} + 69%|████████████████████▊ | 6244/9000 [4:58:06<3:12:13, 4.18s/it][Dataset] cur_step=6245 phase=C_full_covt[Dataset] cur_step=6245 phase=C_full_covt[Dataset] cur_step=6245 phase=C_full_covt[Dataset] cur_step=6245 phase=C_full_covt + + + +[Dataset] cur_step=6245 phase=C_full_covt +[Dataset] cur_step=6245 phase=C_full_covt + 69%|████████████████████▊ | 6245/9000 [4:58:07<3:11:44, 4.18s/it][Dataset] cur_step=6245 phase=C_full_covt +[Dataset] cur_step=6245 phase=C_full_covt + {'loss': '2.989', 'grad_norm': '8.107', 'learning_rate': '1.175e-05', 'epoch': '0.2247'} + 69%|████████████████████▊ | 6245/9000 [4:58:07<3:11:44, 4.18s/it] {'lm_loss': '0.4864', 'visual_loss': '2.59', 'seg_loss': '0.7013', 'dino_loss': '0.9', 'depth_loss': '0.2095', 'vggt_mse_loss': '0.2078', 'vggt_cos_loss': '0.01669', 'pidinet_loss': '0.2665', 'siglip_loss': '0.5124', 'epoch': '0.2247'} + 69%|████████████████████▊ | 6245/9000 [4:58:11<3:11:44, 4.18s/it][Dataset] cur_step=6246 phase=C_full_covt + 69%|████████████████████▊ | 6246/9000 [4:58:11<3:05:35, 4.04s/it][Dataset] cur_step=6246 phase=C_full_covt +[Dataset] cur_step=6246 phase=C_full_covt +[Dataset] cur_step=6246 phase=C_full_covt +[Dataset] cur_step=6246 phase=C_full_covt +[Dataset] cur_step=6246 phase=C_full_covt[Dataset] cur_step=6246 phase=C_full_covt + +[Dataset] cur_step=6246 phase=C_full_covt + {'loss': '3.199', 'grad_norm': '2.678', 'learning_rate': '1.174e-05', 'epoch': '0.2247'} + 69%|████████████████████▊ | 6246/9000 [4:58:11<3:05:35, 4.04s/it] {'lm_loss': '0.359', 'visual_loss': '2.662', 'seg_loss': '0.728', 'dino_loss': '0.9542', 'depth_loss': '0.1847', 'vggt_mse_loss': '0.1834', 'vggt_cos_loss': '0.01316', 'pidinet_loss': '0.2428', 'siglip_loss': '0.5521', 'epoch': '0.2247'} + 69%|████████████████████▊ | 6246/9000 [4:58:14<3:05:35, 4.04s/it][Dataset] cur_step=6247 phase=C_full_covt +[Dataset] cur_step=6247 phase=C_full_covt + 69%|████████████████████▊ | 6247/9000 [4:58:15<3:07:38, 4.09s/it][Dataset] cur_step=6247 phase=C_full_covt +[Dataset] cur_step=6247 phase=C_full_covt +[Dataset] cur_step=6247 phase=C_full_covt +[Dataset] cur_step=6247 phase=C_full_covt[Dataset] cur_step=6247 phase=C_full_covt + +[Dataset] cur_step=6247 phase=C_full_covt + {'loss': '2.957', 'grad_norm': '3.287', 'learning_rate': '1.174e-05', 'epoch': '0.2247'} + 69%|████████████████████▊ | 6247/9000 [4:58:15<3:07:38, 4.09s/it] {'lm_loss': '0.5824', 'visual_loss': '2.701', 'seg_loss': '0.7023', 'dino_loss': '0.9379', 'depth_loss': '0.2542', 'vggt_mse_loss': '0.2523', 'vggt_cos_loss': '0.01897', 'pidinet_loss': '0.2211', 'siglip_loss': '0.5852', 'epoch': '0.2247'} + 69%|████████████████████▊ | 6247/9000 [4:58:18<3:07:38, 4.09s/it][Dataset] cur_step=6248 phase=C_full_covt +[Dataset] cur_step=6248 phase=C_full_covt + 69%|████████████████████▊ | 6248/9000 [4:58:19<3:01:22, 3.95s/it][Dataset] cur_step=6248 phase=C_full_covt[Dataset] cur_step=6248 phase=C_full_covt + +[Dataset] cur_step=6248 phase=C_full_covt +[Dataset] cur_step=6248 phase=C_full_covt +[Dataset] cur_step=6248 phase=C_full_covt +[Dataset] cur_step=6248 phase=C_full_covt + {'loss': '3.042', 'grad_norm': '1.756', 'learning_rate': '1.173e-05', 'epoch': '0.2248'} + 69%|████████████████████▊ | 6248/9000 [4:58:19<3:01:22, 3.95s/it] {'lm_loss': '0.1975', 'visual_loss': '2.507', 'seg_loss': '0.6867', 'dino_loss': '0.8998', 'depth_loss': '0.2645', 'vggt_mse_loss': '0.2623', 'vggt_cos_loss': '0.02203', 'pidinet_loss': '0.1895', 'siglip_loss': '0.4665', 'epoch': '0.2248'} + 69%|████████████████████▊ | 6248/9000 [4:58:23<3:01:22, 3.95s/it][Dataset] cur_step=6249 phase=C_full_covt +[Dataset] cur_step=6249 phase=C_full_covt +[Dataset] cur_step=6249 phase=C_full_covt + 69%|████████████████████▊ | 6249/9000 [4:58:23<3:05:05, 4.04s/it][Dataset] cur_step=6249 phase=C_full_covt[Dataset] cur_step=6249 phase=C_full_covt + +[Dataset] cur_step=6249 phase=C_full_covt +[Dataset] cur_step=6249 phase=C_full_covt +[Dataset] cur_step=6249 phase=C_full_covt + {'loss': '2.979', 'grad_norm': '2.241', 'learning_rate': '1.172e-05', 'epoch': '0.2248'} + 69%|████████████████████▊ | 6249/9000 [4:58:23<3:05:05, 4.04s/it] {'lm_loss': '0.2481', 'visual_loss': '2.669', 'seg_loss': '0.6846', 'dino_loss': '0.9129', 'depth_loss': '0.2497', 'vggt_mse_loss': '0.2478', 'vggt_cos_loss': '0.0193', 'pidinet_loss': '0.2114', 'siglip_loss': '0.6103', 'epoch': '0.2248'} + 69%|████████████████████▊ | 6249/9000 [4:58:26<3:05:05, 4.04s/it][Dataset] cur_step=6250 phase=C_full_covt +[Dataset] cur_step=6250 phase=C_full_covt +[Dataset] cur_step=6250 phase=C_full_covt +[Dataset] cur_step=6250 phase=C_full_covt +[Dataset] cur_step=6250 phase=C_full_covt +[Dataset] cur_step=6250 phase=C_full_covt +[Dataset] cur_step=6250 phase=C_full_covt + 69%|████████████████████▊ | 6250/9000 [4:58:27<3:08:14, 4.11s/it][Dataset] cur_step=6250 phase=C_full_covt + {'loss': '3.147', 'grad_norm': '2.251', 'learning_rate': '1.171e-05', 'epoch': '0.2248'} + 69%|████████████████████▊ | 6250/9000 [4:58:27<3:08:14, 4.11s/it] {'lm_loss': '0.5278', 'visual_loss': '2.692', 'seg_loss': '0.7099', 'dino_loss': '0.9138', 'depth_loss': '0.1662', 'vggt_mse_loss': '0.1653', 'vggt_cos_loss': '0.0091', 'pidinet_loss': '0.2256', 'siglip_loss': '0.6765', 'epoch': '0.2248'} + 69%|████████████████████▊ | 6250/9000 [4:58:30<3:08:14, 4.11s/it][Dataset] cur_step=6251 phase=C_full_covt +[Dataset] cur_step=6251 phase=C_full_covt +[Dataset] cur_step=6251 phase=C_full_covt + 69%|████████████████████▊ | 6251/9000 [4:58:31<3:03:02, 4.00s/it][Dataset] cur_step=6251 phase=C_full_covt +[Dataset] cur_step=6251 phase=C_full_covt +[Dataset] cur_step=6251 phase=C_full_covt[Dataset] cur_step=6251 phase=C_full_covt + +[Dataset] cur_step=6251 phase=C_full_covt + {'loss': '3.189', 'grad_norm': '1.612', 'learning_rate': '1.171e-05', 'epoch': '0.2249'} + 69%|████████████████████▊ | 6251/9000 [4:58:31<3:03:02, 4.00s/it] {'lm_loss': '0.4162', 'visual_loss': '2.938', 'seg_loss': '0.7178', 'dino_loss': '0.9327', 'depth_loss': '0.3645', 'vggt_mse_loss': '0.3619', 'vggt_cos_loss': '0.02615', 'pidinet_loss': '0.229', 'siglip_loss': '0.694', 'epoch': '0.2249'} + 69%|████████████████████▊ | 6251/9000 [4:58:34<3:03:02, 4.00s/it][Dataset] cur_step=6252 phase=C_full_covt +[Dataset] cur_step=6252 phase=C_full_covt +[Dataset] cur_step=6252 phase=C_full_covt +[Dataset] cur_step=6252 phase=C_full_covt +[Dataset] cur_step=6252 phase=C_full_covt +[Dataset] cur_step=6252 phase=C_full_covt +[Dataset] cur_step=6252 phase=C_full_covt[Dataset] cur_step=6252 phase=C_full_covt + + 69%|████████████████████▊ | 6252/9000 [4:58:35<3:05:13, 4.04s/it] {'loss': '3.059', 'grad_norm': '2.863', 'learning_rate': '1.17e-05', 'epoch': '0.2249'} + 69%|████████████████████▊ | 6252/9000 [4:58:35<3:05:13, 4.04s/it] {'lm_loss': '0.01479', 'visual_loss': '3.125', 'seg_loss': '0.706', 'dino_loss': '0.8977', 'depth_loss': '0.2341', 'vggt_mse_loss': '0.2322', 'vggt_cos_loss': '0.01923', 'pidinet_loss': '0.2668', 'siglip_loss': '1.021', 'epoch': '0.2249'} + 69%|████████████████████▊ | 6252/9000 [4:58:39<3:05:13, 4.04s/it][Dataset] cur_step=6253 phase=C_full_covt[Dataset] cur_step=6253 phase=C_full_covt + + 69%|████████████████████▊ | 6253/9000 [4:58:40<3:09:18, 4.13s/it][Dataset] cur_step=6253 phase=C_full_covt +[Dataset] cur_step=6253 phase=C_full_covt +[Dataset] cur_step=6253 phase=C_full_covt[Dataset] cur_step=6253 phase=C_full_covt + +[Dataset] cur_step=6253 phase=C_full_covt +[Dataset] cur_step=6253 phase=C_full_covt + {'loss': '3.091', 'grad_norm': '2.123', 'learning_rate': '1.169e-05', 'epoch': '0.225'} + 69%|████████████████████▊ | 6253/9000 [4:58:40<3:09:18, 4.13s/it] {'lm_loss': '0.5405', 'visual_loss': '2.726', 'seg_loss': '0.7952', 'dino_loss': '0.9318', 'depth_loss': '0.2896', 'vggt_mse_loss': '0.2874', 'vggt_cos_loss': '0.02107', 'pidinet_loss': '0.2331', 'siglip_loss': '0.476', 'epoch': '0.225'} + 69%|████████████████████▊ | 6253/9000 [4:58:42<3:09:18, 4.13s/it][Dataset] cur_step=6254 phase=C_full_covt +[Dataset] cur_step=6254 phase=C_full_covt[Dataset] cur_step=6254 phase=C_full_covt + +[Dataset] cur_step=6254 phase=C_full_covt +[Dataset] cur_step=6254 phase=C_full_covt[Dataset] cur_step=6254 phase=C_full_covt + +[Dataset] cur_step=6254 phase=C_full_covt +[Dataset] cur_step=6254 phase=C_full_covt + 69%|████████████████████▊ | 6254/9000 [4:58:43<3:02:02, 3.98s/it] {'loss': '3.342', 'grad_norm': '2.435', 'learning_rate': '1.168e-05', 'epoch': '0.225'} + 69%|████████████████████▊ | 6254/9000 [4:58:43<3:02:02, 3.98s/it] {'lm_loss': '0.3919', 'visual_loss': '2.406', 'seg_loss': '0.717', 'dino_loss': '0.8853', 'depth_loss': '0.2289', 'vggt_mse_loss': '0.2277', 'vggt_cos_loss': '0.01232', 'pidinet_loss': '0.1969', 'siglip_loss': '0.3777', 'epoch': '0.225'} + 69%|████████████████████▊ | 6254/9000 [4:58:46<3:02:02, 3.98s/it][Dataset] cur_step=6255 phase=C_full_covt[Dataset] cur_step=6255 phase=C_full_covt +[Dataset] cur_step=6255 phase=C_full_covt +[Dataset] cur_step=6255 phase=C_full_covt +[Dataset] cur_step=6255 phase=C_full_covt + + 70%|████████████████████▊ | 6255/9000 [4:58:47<2:57:53, 3.89s/it][Dataset] cur_step=6255 phase=C_full_covt[Dataset] cur_step=6255 phase=C_full_covt + +[Dataset] cur_step=6255 phase=C_full_covt + {'loss': '3.132', 'grad_norm': '2.422', 'learning_rate': '1.167e-05', 'epoch': '0.225'} + 70%|████████████████████▊ | 6255/9000 [4:58:47<2:57:53, 3.89s/it] {'lm_loss': '0.2959', 'visual_loss': '2.519', 'seg_loss': '0.7362', 'dino_loss': '0.9068', 'depth_loss': '0.1927', 'vggt_mse_loss': '0.1916', 'vggt_cos_loss': '0.01075', 'pidinet_loss': '0.2195', 'siglip_loss': '0.4641', 'epoch': '0.225'} + 70%|████████████████████▊ | 6255/9000 [4:58:51<2:57:53, 3.89s/it][Dataset] cur_step=6256 phase=C_full_covt +[Dataset] cur_step=6256 phase=C_full_covt +[Dataset] cur_step=6256 phase=C_full_covt + 70%|████████████████████▊ | 6256/9000 [4:58:51<3:00:45, 3.95s/it][Dataset] cur_step=6256 phase=C_full_covt +[Dataset] cur_step=6256 phase=C_full_covt +[Dataset] cur_step=6256 phase=C_full_covt +[Dataset] cur_step=6256 phase=C_full_covt +[Dataset] cur_step=6256 phase=C_full_covt + {'loss': '3.021', 'grad_norm': '1.819', 'learning_rate': '1.167e-05', 'epoch': '0.2251'} + 70%|████████████████████▊ | 6256/9000 [4:58:51<3:00:45, 3.95s/it] {'lm_loss': '0.2743', 'visual_loss': '2.742', 'seg_loss': '0.7112', 'dino_loss': '0.8954', 'depth_loss': '0.3262', 'vggt_mse_loss': '0.3238', 'vggt_cos_loss': '0.02424', 'pidinet_loss': '0.2478', 'siglip_loss': '0.5611', 'epoch': '0.2251'} + 70%|████████████████████▊ | 6256/9000 [4:58:54<3:00:45, 3.95s/it][Dataset] cur_step=6257 phase=C_full_covt +[Dataset] cur_step=6257 phase=C_full_covt +[Dataset] cur_step=6257 phase=C_full_covt +[Dataset] cur_step=6257 phase=C_full_covt +[Dataset] cur_step=6257 phase=C_full_covt +[Dataset] cur_step=6257 phase=C_full_covt +[Dataset] cur_step=6257 phase=C_full_covt +[Dataset] cur_step=6257 phase=C_full_covt + 70%|████████████████████▊ | 6257/9000 [4:58:55<3:02:32, 3.99s/it] {'loss': '2.914', 'grad_norm': '2.184', 'learning_rate': '1.166e-05', 'epoch': '0.2251'} + 70%|████████████████████▊ | 6257/9000 [4:58:55<3:02:32, 3.99s/it] {'lm_loss': '0.5001', 'visual_loss': '2.711', 'seg_loss': '0.6649', 'dino_loss': '0.9073', 'depth_loss': '0.1928', 'vggt_mse_loss': '0.1915', 'vggt_cos_loss': '0.01359', 'pidinet_loss': '0.2803', 'siglip_loss': '0.6659', 'epoch': '0.2251'} + 70%|████████████████████▊ | 6257/9000 [4:58:58<3:02:32, 3.99s/it][Dataset] cur_step=6258 phase=C_full_covt +[Dataset] cur_step=6258 phase=C_full_covt +[Dataset] cur_step=6258 phase=C_full_covt +[Dataset] cur_step=6258 phase=C_full_covt + 70%|████████████████████▊ | 6258/9000 [4:58:59<2:59:52, 3.94s/it][Dataset] cur_step=6258 phase=C_full_covt[Dataset] cur_step=6258 phase=C_full_covt + +[Dataset] cur_step=6258 phase=C_full_covt +[Dataset] cur_step=6258 phase=C_full_covt + {'loss': '2.946', 'grad_norm': '1.886', 'learning_rate': '1.165e-05', 'epoch': '0.2251'} + 70%|████████████████████▊ | 6258/9000 [4:58:59<2:59:52, 3.94s/it] {'lm_loss': '0.6334', 'visual_loss': '2.589', 'seg_loss': '0.701', 'dino_loss': '0.902', 'depth_loss': '0.2539', 'vggt_mse_loss': '0.2522', 'vggt_cos_loss': '0.01707', 'pidinet_loss': '0.2948', 'siglip_loss': '0.437', 'epoch': '0.2251'} + 70%|████████████████████▊ | 6258/9000 [4:59:02<2:59:52, 3.94s/it][Dataset] cur_step=6259 phase=C_full_covt +[Dataset] cur_step=6259 phase=C_full_covt[Dataset] cur_step=6259 phase=C_full_covt + +[Dataset] cur_step=6259 phase=C_full_covt +[Dataset] cur_step=6259 phase=C_full_covt 70%|████████████████████▊ | 6259/9000 [4:59:03<2:57:46, 3.89s/it] +[Dataset] cur_step=6259 phase=C_full_covt +[Dataset] cur_step=6259 phase=C_full_covt +[Dataset] cur_step=6259 phase=C_full_covt + {'loss': '3.06', 'grad_norm': '1.894', 'learning_rate': '1.164e-05', 'epoch': '0.2252'} + 70%|████████████████████▊ | 6259/9000 [4:59:03<2:57:46, 3.89s/it] {'lm_loss': '0.2717', 'visual_loss': '2.705', 'seg_loss': '0.6766', 'dino_loss': '0.912', 'depth_loss': '0.2003', 'vggt_mse_loss': '0.1988', 'vggt_cos_loss': '0.01516', 'pidinet_loss': '0.2809', 'siglip_loss': '0.6353', 'epoch': '0.2252'} + 70%|████████████████████▊ | 6259/9000 [4:59:06<2:57:46, 3.89s/it][Dataset] cur_step=6260 phase=C_full_covt +[Dataset] cur_step=6260 phase=C_full_covt +[Dataset] cur_step=6260 phase=C_full_covt + 70%|████████████████████▊ | 6260/9000 [4:59:07<3:00:23, 3.95s/it][Dataset] cur_step=6260 phase=C_full_covt +[Dataset] cur_step=6260 phase=C_full_covt +[Dataset] cur_step=6260 phase=C_full_covt +[Dataset] cur_step=6260 phase=C_full_covt +[Dataset] cur_step=6260 phase=C_full_covt + {'loss': '2.966', 'grad_norm': '2.454', 'learning_rate': '1.164e-05', 'epoch': '0.2252'} + 70%|████████████████████▊ | 6260/9000 [4:59:07<3:00:23, 3.95s/it] {'lm_loss': '0.3551', 'visual_loss': '2.694', 'seg_loss': '0.6917', 'dino_loss': '0.8931', 'depth_loss': '0.2226', 'vggt_mse_loss': '0.2212', 'vggt_cos_loss': '0.01442', 'pidinet_loss': '0.2924', 'siglip_loss': '0.5939', 'epoch': '0.2252'} + 70%|████████████████████▊ | 6260/9000 [4:59:10<3:00:23, 3.95s/it][Dataset] cur_step=6261 phase=C_full_covt +[Dataset] cur_step=6261 phase=C_full_covt[Dataset] cur_step=6261 phase=C_full_covt + +[Dataset] cur_step=6261 phase=C_full_covt +[Dataset] cur_step=6261 phase=C_full_covt +[Dataset] cur_step=6261 phase=C_full_covt +[Dataset] cur_step=6261 phase=C_full_covt + 70%|████████████████████▊ | 6261/9000 [4:59:10<2:57:56, 3.90s/it][Dataset] cur_step=6261 phase=C_full_covt + {'loss': '3.103', 'grad_norm': '1.946', 'learning_rate': '1.163e-05', 'epoch': '0.2252'} + 70%|████████████████████▊ | 6261/9000 [4:59:10<2:57:56, 3.90s/it] {'lm_loss': '0.5146', 'visual_loss': '2.953', 'seg_loss': '0.7326', 'dino_loss': '0.9014', 'depth_loss': '0.5222', 'vggt_mse_loss': '0.5177', 'vggt_cos_loss': '0.0457', 'pidinet_loss': '0.2598', 'siglip_loss': '0.5372', 'epoch': '0.2252'} + 70%|████████████████████▊ | 6261/9000 [4:59:14<2:57:56, 3.90s/it][Dataset] cur_step=6262 phase=C_full_covt +[Dataset] cur_step=6262 phase=C_full_covt +[Dataset] cur_step=6262 phase=C_full_covt +[Dataset] cur_step=6262 phase=C_full_covt[Dataset] cur_step=6262 phase=C_full_covt + +[Dataset] cur_step=6262 phase=C_full_covt + 70%|████████████████████▊ | 6262/9000 [4:59:15<3:01:24, 3.98s/it][Dataset] cur_step=6262 phase=C_full_covt +[Dataset] cur_step=6262 phase=C_full_covt + {'loss': '3.197', 'grad_norm': '2.946', 'learning_rate': '1.162e-05', 'epoch': '0.2253'} + 70%|████████████████████▊ | 6262/9000 [4:59:15<3:01:24, 3.98s/it] {'lm_loss': '0.2956', 'visual_loss': '2.667', 'seg_loss': '0.6854', 'dino_loss': '0.921', 'depth_loss': '0.2042', 'vggt_mse_loss': '0.2027', 'vggt_cos_loss': '0.01449', 'pidinet_loss': '0.1786', 'siglip_loss': '0.6779', 'epoch': '0.2253'} + 70%|████████████████████▊ | 6262/9000 [4:59:18<3:01:24, 3.98s/it][Dataset] cur_step=6263 phase=C_full_covt +[Dataset] cur_step=6263 phase=C_full_covt +[Dataset] cur_step=6263 phase=C_full_covt +[Dataset] cur_step=6263 phase=C_full_covt +[Dataset] cur_step=6263 phase=C_full_covt 70%|████████████████████▉ | 6263/9000 [4:59:19<3:04:50, 4.05s/it] +[Dataset] cur_step=6263 phase=C_full_covt +[Dataset] cur_step=6263 phase=C_full_covt +[Dataset] cur_step=6263 phase=C_full_covt + {'loss': '3.202', 'grad_norm': '1.917', 'learning_rate': '1.161e-05', 'epoch': '0.2253'} + 70%|████████████████████▉ | 6263/9000 [4:59:19<3:04:50, 4.05s/it] {'lm_loss': '0.3368', 'visual_loss': '2.325', 'seg_loss': '0.5764', 'dino_loss': '0.8682', 'depth_loss': '0.2031', 'vggt_mse_loss': '0.2019', 'vggt_cos_loss': '0.01219', 'pidinet_loss': '0.2262', 'siglip_loss': '0.4515', 'epoch': '0.2253'} + 70%|████████████████████▉ | 6263/9000 [4:59:22<3:04:50, 4.05s/it][Dataset] cur_step=6264 phase=C_full_covt +[Dataset] cur_step=6264 phase=C_full_covt[Dataset] cur_step=6264 phase=C_full_covt + +[Dataset] cur_step=6264 phase=C_full_covt +[Dataset] cur_step=6264 phase=C_full_covt + 70%|████████████████████▉ | 6264/9000 [4:59:23<3:03:43, 4.03s/it][Dataset] cur_step=6264 phase=C_full_covt +[Dataset] cur_step=6264 phase=C_full_covt +[Dataset] cur_step=6264 phase=C_full_covt + {'loss': '3.129', 'grad_norm': '1.871', 'learning_rate': '1.16e-05', 'epoch': '0.2253'} + 70%|████████████████████▉ | 6264/9000 [4:59:23<3:03:43, 4.03s/it] {'lm_loss': '0.9105', 'visual_loss': '2.95', 'seg_loss': '0.6221', 'dino_loss': '0.881', 'depth_loss': '0.2176', 'vggt_mse_loss': '0.2159', 'vggt_cos_loss': '0.01673', 'pidinet_loss': '0.2497', 'siglip_loss': '0.9798', 'epoch': '0.2253'} + 70%|████████████████████▉ | 6264/9000 [4:59:26<3:03:43, 4.03s/it][Dataset] cur_step=6265 phase=C_full_covt +[Dataset] cur_step=6265 phase=C_full_covt +[Dataset] cur_step=6265 phase=C_full_covt +[Dataset] cur_step=6265 phase=C_full_covt +[Dataset] cur_step=6265 phase=C_full_covt +[Dataset] cur_step=6265 phase=C_full_covt +[Dataset] cur_step=6265 phase=C_full_covt[Dataset] cur_step=6265 phase=C_full_covt + + 70%|████████████████████▉ | 6265/9000 [4:59:27<3:04:59, 4.06s/it] {'loss': '3.269', 'grad_norm': '7.432', 'learning_rate': '1.16e-05', 'epoch': '0.2254'} + 70%|████████████████████▉ | 6265/9000 [4:59:27<3:04:59, 4.06s/it] {'lm_loss': '0.01418', 'visual_loss': '2.608', 'seg_loss': '0.7923', 'dino_loss': '0.9314', 'depth_loss': '0.2328', 'vggt_mse_loss': '0.2311', 'vggt_cos_loss': '0.01721', 'pidinet_loss': '0.205', 'siglip_loss': '0.4462', 'epoch': '0.2254'} + 70%|████████████████████▉ | 6265/9000 [4:59:30<3:04:59, 4.06s/it][Dataset] cur_step=6266 phase=C_full_covt +[Dataset] cur_step=6266 phase=C_full_covt[Dataset] cur_step=6266 phase=C_full_covt + +[Dataset] cur_step=6266 phase=C_full_covt +[Dataset] cur_step=6266 phase=C_full_covt[Dataset] cur_step=6266 phase=C_full_covt + +[Dataset] cur_step=6266 phase=C_full_covt[Dataset] cur_step=6266 phase=C_full_covt + + 70%|████████████████████▉ | 6266/9000 [4:59:31<3:00:56, 3.97s/it] {'loss': '3.133', 'grad_norm': '1.949', 'learning_rate': '1.159e-05', 'epoch': '0.2254'} + 70%|████████████████████▉ | 6266/9000 [4:59:31<3:00:56, 3.97s/it] {'lm_loss': '0.5838', 'visual_loss': '2.949', 'seg_loss': '0.8572', 'dino_loss': '0.9066', 'depth_loss': '0.234', 'vggt_mse_loss': '0.2324', 'vggt_cos_loss': '0.01627', 'pidinet_loss': '0.1939', 'siglip_loss': '0.7569', 'epoch': '0.2254'} + 70%|████████████████████▉ | 6266/9000 [4:59:34<3:00:56, 3.97s/it][Dataset] cur_step=6267 phase=C_full_covt[Dataset] cur_step=6267 phase=C_full_covt + +[Dataset] cur_step=6267 phase=C_full_covt +[Dataset] cur_step=6267 phase=C_full_covt +[Dataset] cur_step=6267 phase=C_full_covt +[Dataset] cur_step=6267 phase=C_full_covt +[Dataset] cur_step=6267 phase=C_full_covt +[Dataset] cur_step=6267 phase=C_full_covt 70%|████████████████████▉ | 6267/9000 [4:59:35<2:58:59, 3.93s/it] + {'loss': '3.084', 'grad_norm': '1.374', 'learning_rate': '1.158e-05', 'epoch': '0.2255'} + 70%|████████████████████▉ | 6267/9000 [4:59:35<2:58:59, 3.93s/it] {'lm_loss': '1.016', 'visual_loss': '2.683', 'seg_loss': '0.8179', 'dino_loss': '0.9155', 'depth_loss': '0.1686', 'vggt_mse_loss': '0.1675', 'vggt_cos_loss': '0.01105', 'pidinet_loss': '0.241', 'siglip_loss': '0.5403', 'epoch': '0.2255'} + 70%|████████████████████▉ | 6267/9000 [4:59:38<2:58:59, 3.93s/it][Dataset] cur_step=6268 phase=C_full_covt +[Dataset] cur_step=6268 phase=C_full_covt +[Dataset] cur_step=6268 phase=C_full_covt +[Dataset] cur_step=6268 phase=C_full_covt +[Dataset] cur_step=6268 phase=C_full_covt + 70%|████████████████████▉ | 6268/9000 [4:59:41<3:31:41, 4.65s/it][Dataset] cur_step=6268 phase=C_full_covt +[Dataset] cur_step=6268 phase=C_full_covt +[Dataset] cur_step=6268 phase=C_full_covt + {'loss': '3.197', 'grad_norm': '5.585', 'learning_rate': '1.157e-05', 'epoch': '0.2255'} + 70%|████████████████████▉ | 6268/9000 [4:59:41<3:31:41, 4.65s/it] {'lm_loss': '0.01116', 'visual_loss': '2.301', 'seg_loss': '0.6231', 'dino_loss': '0.9026', 'depth_loss': '0.2148', 'vggt_mse_loss': '0.2137', 'vggt_cos_loss': '0.01148', 'pidinet_loss': '0.179', 'siglip_loss': '0.3815', 'epoch': '0.2255'} + 70%|████████████████████▉ | 6268/9000 [4:59:44<3:31:41, 4.65s/it][Dataset] cur_step=6269 phase=C_full_covt[Dataset] cur_step=6269 phase=C_full_covt +[Dataset] cur_step=6269 phase=C_full_covt + +[Dataset] cur_step=6269 phase=C_full_covt +[Dataset] cur_step=6269 phase=C_full_covt[Dataset] cur_step=6269 phase=C_full_covt + +[Dataset] cur_step=6269 phase=C_full_covt + 70%|████████████████████▉ | 6269/9000 [4:59:45<3:23:56, 4.48s/it][Dataset] cur_step=6269 phase=C_full_covt + {'loss': '2.863', 'grad_norm': '1.851', 'learning_rate': '1.157e-05', 'epoch': '0.2255'} + 70%|████████████████████▉ | 6269/9000 [4:59:45<3:23:56, 4.48s/it] {'lm_loss': '0.3083', 'visual_loss': '2.711', 'seg_loss': '0.8159', 'dino_loss': '0.9092', 'depth_loss': '0.2393', 'vggt_mse_loss': '0.2377', 'vggt_cos_loss': '0.01596', 'pidinet_loss': '0.1954', 'siglip_loss': '0.5507', 'epoch': '0.2255'} + 70%|████████████████████▉ | 6269/9000 [4:59:50<3:23:56, 4.48s/it][Dataset] cur_step=6270 phase=C_full_covt +[Dataset] cur_step=6270 phase=C_full_covt +[Dataset] cur_step=6270 phase=C_full_covt +[Dataset] cur_step=6270 phase=C_full_covt[Dataset] cur_step=6270 phase=C_full_covt + +[Dataset] cur_step=6270 phase=C_full_covt +[Dataset] cur_step=6270 phase=C_full_covt +[Dataset] cur_step=6270 phase=C_full_covt + 70%|████████████████████▉ | 6270/9000 [4:59:51<3:50:33, 5.07s/it] {'loss': '3.139', 'grad_norm': '2.561', 'learning_rate': '1.156e-05', 'epoch': '0.2256'} + 70%|████████████████████▉ | 6270/9000 [4:59:51<3:50:33, 5.07s/it] {'lm_loss': '0.386', 'visual_loss': '2.75', 'seg_loss': '0.6903', 'dino_loss': '0.9046', 'depth_loss': '0.2906', 'vggt_mse_loss': '0.2884', 'vggt_cos_loss': '0.02193', 'pidinet_loss': '0.2239', 'siglip_loss': '0.6409', 'epoch': '0.2256'} + 70%|████████████████████▉ | 6270/9000 [4:59:54<3:50:33, 5.07s/it][Dataset] cur_step=6271 phase=C_full_covt +[Dataset] cur_step=6271 phase=C_full_covt +[Dataset] cur_step=6271 phase=C_full_covt +[Dataset] cur_step=6271 phase=C_full_covt +[Dataset] cur_step=6271 phase=C_full_covt +[Dataset] cur_step=6271 phase=C_full_covt +[Dataset] cur_step=6271 phase=C_full_covt + 70%|████████████████████▉ | 6271/9000 [4:59:55<3:35:34, 4.74s/it][Dataset] cur_step=6271 phase=C_full_covt + {'loss': '2.989', 'grad_norm': '2.093', 'learning_rate': '1.155e-05', 'epoch': '0.2256'} + 70%|████████████████████▉ | 6271/9000 [4:59:55<3:35:34, 4.74s/it] {'lm_loss': '0.4413', 'visual_loss': '2.77', 'seg_loss': '0.6408', 'dino_loss': '0.8796', 'depth_loss': '0.237', 'vggt_mse_loss': '0.2354', 'vggt_cos_loss': '0.01599', 'pidinet_loss': '0.2568', 'siglip_loss': '0.7555', 'epoch': '0.2256'} + 70%|████████████████████▉ | 6271/9000 [4:59:59<3:35:34, 4.74s/it][Dataset] cur_step=6272 phase=C_full_covt +[Dataset] cur_step=6272 phase=C_full_covt +[Dataset] cur_step=6272 phase=C_full_covt +[Dataset] cur_step=6272 phase=C_full_covt +[Dataset] cur_step=6272 phase=C_full_covt + 70%|████████████████████▉ | 6272/9000 [4:59:59<3:25:56, 4.53s/it][Dataset] cur_step=6272 phase=C_full_covt +[Dataset] cur_step=6272 phase=C_full_covt +[Dataset] cur_step=6272 phase=C_full_covt + {'loss': '3.132', 'grad_norm': '2.57', 'learning_rate': '1.154e-05', 'epoch': '0.2256'} + 70%|████████████████████▉ | 6272/9000 [4:59:59<3:25:56, 4.53s/it] {'lm_loss': '0.4725', 'visual_loss': '2.578', 'seg_loss': '0.7446', 'dino_loss': '0.9356', 'depth_loss': '0.2423', 'vggt_mse_loss': '0.2406', 'vggt_cos_loss': '0.01738', 'pidinet_loss': '0.2384', 'siglip_loss': '0.4175', 'epoch': '0.2256'} + 70%|████████████████████▉ | 6272/9000 [5:00:03<3:25:56, 4.53s/it][Dataset] cur_step=6273 phase=C_full_covt[Dataset] cur_step=6273 phase=C_full_covt + +[Dataset] cur_step=6273 phase=C_full_covt +[Dataset] cur_step=6273 phase=C_full_covt + 70%|████████████████████▉ | 6273/9000 [5:00:03<3:18:58, 4.38s/it][Dataset] cur_step=6273 phase=C_full_covt +[Dataset] cur_step=6273 phase=C_full_covt +[Dataset] cur_step=6273 phase=C_full_covt +[Dataset] cur_step=6273 phase=C_full_covt + {'loss': '3.455', 'grad_norm': '2.369', 'learning_rate': '1.153e-05', 'epoch': '0.2257'} + 70%|████████████████████▉ | 6273/9000 [5:00:03<3:18:58, 4.38s/it] {'lm_loss': '0.4071', 'visual_loss': '2.611', 'seg_loss': '0.7452', 'dino_loss': '0.9191', 'depth_loss': '0.263', 'vggt_mse_loss': '0.2614', 'vggt_cos_loss': '0.01682', 'pidinet_loss': '0.2055', 'siglip_loss': '0.4778', 'epoch': '0.2257'} + 70%|████████████████████▉ | 6273/9000 [5:00:07<3:18:58, 4.38s/it][Dataset] cur_step=6274 phase=C_full_covt +[Dataset] cur_step=6274 phase=C_full_covt + 70%|████████████████████▉ | 6274/9000 [5:00:08<3:15:54, 4.31s/it][Dataset] cur_step=6274 phase=C_full_covt +[Dataset] cur_step=6274 phase=C_full_covt +[Dataset] cur_step=6274 phase=C_full_covt +[Dataset] cur_step=6274 phase=C_full_covt +[Dataset] cur_step=6274 phase=C_full_covt +[Dataset] cur_step=6274 phase=C_full_covt + {'loss': '3.194', 'grad_norm': '2.332', 'learning_rate': '1.153e-05', 'epoch': '0.2257'} + 70%|████████████████████▉ | 6274/9000 [5:00:08<3:15:54, 4.31s/it] {'lm_loss': '0.3683', 'visual_loss': '2.293', 'seg_loss': '0.6007', 'dino_loss': '0.8927', 'depth_loss': '0.1901', 'vggt_mse_loss': '0.1889', 'vggt_cos_loss': '0.01179', 'pidinet_loss': '0.1499', 'siglip_loss': '0.46', 'epoch': '0.2257'} + 70%|████████████████████▉ | 6274/9000 [5:00:12<3:15:54, 4.31s/it][Dataset] cur_step=6275 phase=C_full_covt + 70%|████████████████████▉ | 6275/9000 [5:00:12<3:19:20, 4.39s/it][Dataset] cur_step=6275 phase=C_full_covt[Dataset] cur_step=6275 phase=C_full_covt + +[Dataset] cur_step=6275 phase=C_full_covt +[Dataset] cur_step=6275 phase=C_full_covt[Dataset] cur_step=6275 phase=C_full_covt + +[Dataset] cur_step=6275 phase=C_full_covt +[Dataset] cur_step=6275 phase=C_full_covt + {'loss': '3.149', 'grad_norm': '21.25', 'learning_rate': '1.152e-05', 'epoch': '0.2257'} + 70%|████████████████████▉ | 6275/9000 [5:00:12<3:19:20, 4.39s/it] {'lm_loss': '0.9385', 'visual_loss': '2.386', 'seg_loss': '0.695', 'dino_loss': '0.8993', 'depth_loss': '0.1998', 'vggt_mse_loss': '0.1986', 'vggt_cos_loss': '0.01214', 'pidinet_loss': '0.1901', 'siglip_loss': '0.4022', 'epoch': '0.2257'} + 70%|████████████████████▉ | 6275/9000 [5:00:16<3:19:20, 4.39s/it][Dataset] cur_step=6276 phase=C_full_covt + 70%|████████████████████▉ | 6276/9000 [5:00:16<3:16:14, 4.32s/it][Dataset] cur_step=6276 phase=C_full_covt +[Dataset] cur_step=6276 phase=C_full_covt +[Dataset] cur_step=6276 phase=C_full_covt +[Dataset] cur_step=6276 phase=C_full_covt +[Dataset] cur_step=6276 phase=C_full_covt +[Dataset] cur_step=6276 phase=C_full_covt +[Dataset] cur_step=6276 phase=C_full_covt + {'loss': '3.272', 'grad_norm': '2.913', 'learning_rate': '1.151e-05', 'epoch': '0.2258'} + 70%|████████████████████▉ | 6276/9000 [5:00:16<3:16:14, 4.32s/it] {'lm_loss': '0.2301', 'visual_loss': '2.988', 'seg_loss': '0.6981', 'dino_loss': '0.931', 'depth_loss': '0.3583', 'vggt_mse_loss': '0.3553', 'vggt_cos_loss': '0.02919', 'pidinet_loss': '0.2408', 'siglip_loss': '0.7596', 'epoch': '0.2258'} + 70%|████████████████████▉ | 6276/9000 [5:00:19<3:16:14, 4.32s/it][Dataset] cur_step=6277 phase=C_full_covt[Dataset] cur_step=6277 phase=C_full_covt + +[Dataset] cur_step=6277 phase=C_full_covt +[Dataset] cur_step=6277 phase=C_full_covt[Dataset] cur_step=6277 phase=C_full_covt + + 70%|████████████████████▉ | 6277/9000 [5:00:20<3:09:25, 4.17s/it][Dataset] cur_step=6277 phase=C_full_covt +[Dataset] cur_step=6277 phase=C_full_covt +[Dataset] cur_step=6277 phase=C_full_covt + {'loss': '3.27', 'grad_norm': '1.888', 'learning_rate': '1.15e-05', 'epoch': '0.2258'} + 70%|████████████████████▉ | 6277/9000 [5:00:20<3:09:25, 4.17s/it] {'lm_loss': '0.3096', 'visual_loss': '2.707', 'seg_loss': '0.7853', 'dino_loss': '0.937', 'depth_loss': '0.294', 'vggt_mse_loss': '0.2918', 'vggt_cos_loss': '0.02246', 'pidinet_loss': '0.2117', 'siglip_loss': '0.4793', 'epoch': '0.2258'} + 70%|████████████████████▉ | 6277/9000 [5:00:23<3:09:25, 4.17s/it][Dataset] cur_step=6278 phase=C_full_covt +[Dataset] cur_step=6278 phase=C_full_covt + 70%|████████████████████▉ | 6278/9000 [5:00:24<3:05:31, 4.09s/it][Dataset] cur_step=6278 phase=C_full_covt[Dataset] cur_step=6278 phase=C_full_covt + +[Dataset] cur_step=6278 phase=C_full_covt +[Dataset] cur_step=6278 phase=C_full_covt +[Dataset] cur_step=6278 phase=C_full_covt +[Dataset] cur_step=6278 phase=C_full_covt + {'loss': '3.25', 'grad_norm': '1.929', 'learning_rate': '1.15e-05', 'epoch': '0.2259'} + 70%|████████████████████▉ | 6278/9000 [5:00:24<3:05:31, 4.09s/it] {'lm_loss': '0.4532', 'visual_loss': '2.553', 'seg_loss': '0.7508', 'dino_loss': '0.914', 'depth_loss': '0.2722', 'vggt_mse_loss': '0.2705', 'vggt_cos_loss': '0.01738', 'pidinet_loss': '0.226', 'siglip_loss': '0.3901', 'epoch': '0.2259'} + 70%|████████████████████▉ | 6278/9000 [5:00:27<3:05:31, 4.09s/it][Dataset] cur_step=6279 phase=C_full_covt +[Dataset] cur_step=6279 phase=C_full_covt +[Dataset] cur_step=6279 phase=C_full_covt +[Dataset] cur_step=6279 phase=C_full_covt[Dataset] cur_step=6279 phase=C_full_covt + +[Dataset] cur_step=6279 phase=C_full_covt +[Dataset] cur_step=6279 phase=C_full_covt + 70%|████████████████████▉ | 6279/9000 [5:00:28<3:07:24, 4.13s/it][Dataset] cur_step=6279 phase=C_full_covt + {'loss': '3.149', 'grad_norm': '1.906', 'learning_rate': '1.149e-05', 'epoch': '0.2259'} + 70%|████████████████████▉ | 6279/9000 [5:00:28<3:07:24, 4.13s/it] {'lm_loss': '0.004914', 'visual_loss': '3.015', 'seg_loss': '0.6434', 'dino_loss': '0.9228', 'depth_loss': '0.2671', 'vggt_mse_loss': '0.2652', 'vggt_cos_loss': '0.01977', 'pidinet_loss': '0.2539', 'siglip_loss': '0.9278', 'epoch': '0.2259'} + 70%|████████████████████▉ | 6279/9000 [5:00:32<3:07:24, 4.13s/it][Dataset] cur_step=6280 phase=C_full_covt +[Dataset] cur_step=6280 phase=C_full_covt +[Dataset] cur_step=6280 phase=C_full_covt[Dataset] cur_step=6280 phase=C_full_covt + +[Dataset] cur_step=6280 phase=C_full_covt[Dataset] cur_step=6280 phase=C_full_covt + + 70%|████████████████████▉ | 6280/9000 [5:00:35<3:40:07, 4.86s/it][Dataset] cur_step=6280 phase=C_full_covt +[Dataset] cur_step=6280 phase=C_full_covt + {'loss': '3.021', 'grad_norm': '1.785', 'learning_rate': '1.148e-05', 'epoch': '0.2259'} + 70%|████████████████████▉ | 6280/9000 [5:00:35<3:40:07, 4.86s/it] {'lm_loss': '0.4306', 'visual_loss': '2.861', 'seg_loss': '0.776', 'dino_loss': '0.9083', 'depth_loss': '0.225', 'vggt_mse_loss': '0.2233', 'vggt_cos_loss': '0.0164', 'pidinet_loss': '0.26', 'siglip_loss': '0.6919', 'epoch': '0.2259'} + 70%|████████████████████▉ | 6280/9000 [5:00:38<3:40:07, 4.86s/it][Dataset] cur_step=6281 phase=C_full_covt +[Dataset] cur_step=6281 phase=C_full_covt +[Dataset] cur_step=6281 phase=C_full_covt[Dataset] cur_step=6281 phase=C_full_covt + +[Dataset] cur_step=6281 phase=C_full_covt +[Dataset] cur_step=6281 phase=C_full_covt + 70%|████████████████████▉ | 6281/9000 [5:00:39<3:24:01, 4.50s/it][Dataset] cur_step=6281 phase=C_full_covt +[Dataset] cur_step=6281 phase=C_full_covt + {'loss': '3.108', 'grad_norm': '2.42', 'learning_rate': '1.147e-05', 'epoch': '0.226'} + 70%|████████████████████▉ | 6281/9000 [5:00:39<3:24:01, 4.50s/it] {'lm_loss': '0.003007', 'visual_loss': '2.6', 'seg_loss': '0.6468', 'dino_loss': '0.9218', 'depth_loss': '0.3437', 'vggt_mse_loss': '0.3408', 'vggt_cos_loss': '0.02855', 'pidinet_loss': '0.2029', 'siglip_loss': '0.4853', 'epoch': '0.226'} + 70%|████████████████████▉ | 6281/9000 [5:00:43<3:24:01, 4.50s/it][Dataset] cur_step=6282 phase=C_full_covt +[Dataset] cur_step=6282 phase=C_full_covt +[Dataset] cur_step=6282 phase=C_full_covt[Dataset] cur_step=6282 phase=C_full_covt + +[Dataset] cur_step=6282 phase=C_full_covt + 70%|████████████████████▉ | 6282/9000 [5:00:43<3:26:11, 4.55s/it][Dataset] cur_step=6282 phase=C_full_covt +[Dataset] cur_step=6282 phase=C_full_covt +[Dataset] cur_step=6282 phase=C_full_covt + {'loss': '3.296', 'grad_norm': '2.488', 'learning_rate': '1.147e-05', 'epoch': '0.226'} + 70%|████████████████████▉ | 6282/9000 [5:00:43<3:26:11, 4.55s/it] {'lm_loss': '0.0006803', 'visual_loss': '2.032', 'seg_loss': '0.6514', 'dino_loss': '0.8652', 'depth_loss': '0.187', 'vggt_mse_loss': '0.186', 'vggt_cos_loss': '0.00944', 'pidinet_loss': '0.1117', 'siglip_loss': '0.217', 'epoch': '0.226'} + 70%|████████████████████▉ | 6282/9000 [5:00:47<3:26:11, 4.55s/it][Dataset] cur_step=6283 phase=C_full_covt + 70%|████████████████████▉ | 6283/9000 [5:00:48<3:25:27, 4.54s/it][Dataset] cur_step=6283 phase=C_full_covt +[Dataset] cur_step=6283 phase=C_full_covt +[Dataset] cur_step=6283 phase=C_full_covt +[Dataset] cur_step=6283 phase=C_full_covt[Dataset] cur_step=6283 phase=C_full_covt +[Dataset] cur_step=6283 phase=C_full_covt + +[Dataset] cur_step=6283 phase=C_full_covt + {'loss': '3.136', 'grad_norm': '8.209', 'learning_rate': '1.146e-05', 'epoch': '0.226'} + 70%|████████████████████▉ | 6283/9000 [5:00:48<3:25:27, 4.54s/it] {'lm_loss': '0.005405', 'visual_loss': '2.592', 'seg_loss': '0.6589', 'dino_loss': '0.9165', 'depth_loss': '0.1916', 'vggt_mse_loss': '0.1902', 'vggt_cos_loss': '0.01403', 'pidinet_loss': '0.2587', 'siglip_loss': '0.5666', 'epoch': '0.226'} + 70%|████████████████████▉ | 6283/9000 [5:00:51<3:25:27, 4.54s/it][Dataset] cur_step=6284 phase=C_full_covt[Dataset] cur_step=6284 phase=C_full_covt + + 70%|████████████████████▉ | 6284/9000 [5:00:52<3:17:22, 4.36s/it][Dataset] cur_step=6284 phase=C_full_covt +[Dataset] cur_step=6284 phase=C_full_covt +[Dataset] cur_step=6284 phase=C_full_covt +[Dataset] cur_step=6284 phase=C_full_covt +[Dataset] cur_step=6284 phase=C_full_covt +[Dataset] cur_step=6284 phase=C_full_covt + {'loss': '3.108', 'grad_norm': '1.66', 'learning_rate': '1.145e-05', 'epoch': '0.2261'} + 70%|████████████████████▉ | 6284/9000 [5:00:52<3:17:22, 4.36s/it] {'lm_loss': '0.2491', 'visual_loss': '2.562', 'seg_loss': '0.7933', 'dino_loss': '0.8984', 'depth_loss': '0.2296', 'vggt_mse_loss': '0.2284', 'vggt_cos_loss': '0.01234', 'pidinet_loss': '0.2139', 'siglip_loss': '0.4269', 'epoch': '0.2261'} + 70%|████████████████████▉ | 6284/9000 [5:00:55<3:17:22, 4.36s/it][Dataset] cur_step=6285 phase=C_full_covt +[Dataset] cur_step=6285 phase=C_full_covt +[Dataset] cur_step=6285 phase=C_full_covt[Dataset] cur_step=6285 phase=C_full_covt[Dataset] cur_step=6285 phase=C_full_covt + + +[Dataset] cur_step=6285 phase=C_full_covt + 70%|████████████████████▉ | 6285/9000 [5:00:56<3:13:41, 4.28s/it][Dataset] cur_step=6285 phase=C_full_covt +[Dataset] cur_step=6285 phase=C_full_covt + {'loss': '3.045', 'grad_norm': '3.949', 'learning_rate': '1.144e-05', 'epoch': '0.2261'} + 70%|████████████████████▉ | 6285/9000 [5:00:56<3:13:41, 4.28s/it] {'lm_loss': '0.9759', 'visual_loss': '2.728', 'seg_loss': '0.7147', 'dino_loss': '0.9026', 'depth_loss': '0.2314', 'vggt_mse_loss': '0.2301', 'vggt_cos_loss': '0.01375', 'pidinet_loss': '0.2185', 'siglip_loss': '0.6609', 'epoch': '0.2261'} + 70%|████████████████████▉ | 6285/9000 [5:01:00<3:13:41, 4.28s/it][Dataset] cur_step=6286 phase=C_full_covt +[Dataset] cur_step=6286 phase=C_full_covt +[Dataset] cur_step=6286 phase=C_full_covt + 70%|████████████████████▉ | 6286/9000 [5:01:02<3:38:26, 4.83s/it][Dataset] cur_step=6286 phase=C_full_covt +[Dataset] cur_step=6286 phase=C_full_covt[Dataset] cur_step=6286 phase=C_full_covt + +[Dataset] cur_step=6286 phase=C_full_covt +[Dataset] cur_step=6286 phase=C_full_covt + {'loss': '3.234', 'grad_norm': '1.914', 'learning_rate': '1.143e-05', 'epoch': '0.2261'} + 70%|████████████████████▉ | 6286/9000 [5:01:02<3:38:26, 4.83s/it] {'lm_loss': '0.6916', 'visual_loss': '2.544', 'seg_loss': '0.7136', 'dino_loss': '0.8822', 'depth_loss': '0.273', 'vggt_mse_loss': '0.2714', 'vggt_cos_loss': '0.01637', 'pidinet_loss': '0.228', 'siglip_loss': '0.4474', 'epoch': '0.2261'} + 70%|████████████████████▉ | 6286/9000 [5:01:05<3:38:26, 4.83s/it][Dataset] cur_step=6287 phase=C_full_covt[Dataset] cur_step=6287 phase=C_full_covt + +[Dataset] cur_step=6287 phase=C_full_covt 70%|████████████████████▉ | 6287/9000 [5:01:06<3:24:03, 4.51s/it] +[Dataset] cur_step=6287 phase=C_full_covt +[Dataset] cur_step=6287 phase=C_full_covt[Dataset] cur_step=6287 phase=C_full_covt + +[Dataset] cur_step=6287 phase=C_full_covt +[Dataset] cur_step=6287 phase=C_full_covt + {'loss': '3.361', 'grad_norm': '4.135', 'learning_rate': '1.143e-05', 'epoch': '0.2262'} + 70%|████████████████████▉ | 6287/9000 [5:01:06<3:24:03, 4.51s/it] {'lm_loss': '0.7209', 'visual_loss': '2.244', 'seg_loss': '0.6482', 'dino_loss': '0.8572', 'depth_loss': '0.2011', 'vggt_mse_loss': '0.2002', 'vggt_cos_loss': '0.009716', 'pidinet_loss': '0.1591', 'siglip_loss': '0.3785', 'epoch': '0.2262'} + 70%|████████████████████▉ | 6287/9000 [5:01:12<3:24:03, 4.51s/it][Dataset] cur_step=6288 phase=C_full_covt + 70%|████████████████████▉ | 6288/9000 [5:01:12<3:55:19, 5.21s/it][Dataset] cur_step=6288 phase=C_full_covt +[Dataset] cur_step=6288 phase=C_full_covt +[Dataset] cur_step=6288 phase=C_full_covt +[Dataset] cur_step=6288 phase=C_full_covt +[Dataset] cur_step=6288 phase=C_full_covt +[Dataset] cur_step=6288 phase=C_full_covt[Dataset] cur_step=6288 phase=C_full_covt + + {'loss': '2.95', 'grad_norm': '2.861', 'learning_rate': '1.142e-05', 'epoch': '0.2262'} + 70%|████████████████████▉ | 6288/9000 [5:01:12<3:55:19, 5.21s/it] {'lm_loss': '0.6308', 'visual_loss': '2.774', 'seg_loss': '0.6651', 'dino_loss': '0.9083', 'depth_loss': '0.3436', 'vggt_mse_loss': '0.3416', 'vggt_cos_loss': '0.0204', 'pidinet_loss': '0.2476', 'siglip_loss': '0.6096', 'epoch': '0.2262'} + 70%|████████████████████▉ | 6288/9000 [5:01:16<3:55:19, 5.21s/it][Dataset] cur_step=6289 phase=C_full_covt +[Dataset] cur_step=6289 phase=C_full_covt +[Dataset] cur_step=6289 phase=C_full_covt +[Dataset] cur_step=6289 phase=C_full_covt +[Dataset] cur_step=6289 phase=C_full_covt + 70%|████████████████████▉ | 6289/9000 [5:01:18<4:06:16, 5.45s/it][Dataset] cur_step=6289 phase=C_full_covt +[Dataset] cur_step=6289 phase=C_full_covt +[Dataset] cur_step=6289 phase=C_full_covt + {'loss': '3.114', 'grad_norm': '1.574', 'learning_rate': '1.141e-05', 'epoch': '0.2262'} + 70%|████████████████████▉ | 6289/9000 [5:01:18<4:06:16, 5.45s/it] {'lm_loss': '0.4535', 'visual_loss': '2.697', 'seg_loss': '0.7223', 'dino_loss': '0.9005', 'depth_loss': '0.2161', 'vggt_mse_loss': '0.2145', 'vggt_cos_loss': '0.01583', 'pidinet_loss': '0.2472', 'siglip_loss': '0.6105', 'epoch': '0.2262'} + 70%|████████████████████▉ | 6289/9000 [5:01:22<4:06:16, 5.45s/it][Dataset] cur_step=6290 phase=C_full_covt +[Dataset] cur_step=6290 phase=C_full_covt +[Dataset] cur_step=6290 phase=C_full_covt +[Dataset] cur_step=6290 phase=C_full_covt[Dataset] cur_step=6290 phase=C_full_covt[Dataset] cur_step=6290 phase=C_full_covt + + + 70%|████████████████████▉ | 6290/9000 [5:01:22<3:46:43, 5.02s/it][Dataset] cur_step=6290 phase=C_full_covt +[Dataset] cur_step=6290 phase=C_full_covt + {'loss': '3.21', 'grad_norm': '1.578', 'learning_rate': '1.14e-05', 'epoch': '0.2263'} + 70%|████████████████████▉ | 6290/9000 [5:01:22<3:46:43, 5.02s/it] {'lm_loss': '0.5743', 'visual_loss': '2.717', 'seg_loss': '0.8008', 'dino_loss': '0.8986', 'depth_loss': '0.2146', 'vggt_mse_loss': '0.2132', 'vggt_cos_loss': '0.01396', 'pidinet_loss': '0.2305', 'siglip_loss': '0.5723', 'epoch': '0.2263'} + 70%|████████████████████▉ | 6290/9000 [5:01:26<3:46:43, 5.02s/it][Dataset] cur_step=6291 phase=C_full_covt[Dataset] cur_step=6291 phase=C_full_covt + +[Dataset] cur_step=6291 phase=C_full_covt +[Dataset] cur_step=6291 phase=C_full_covt +[Dataset] cur_step=6291 phase=C_full_covt + 70%|████████████████████▉ | 6291/9000 [5:01:26<3:31:14, 4.68s/it][Dataset] cur_step=6291 phase=C_full_covt +[Dataset] cur_step=6291 phase=C_full_covt +[Dataset] cur_step=6291 phase=C_full_covt + {'loss': '2.975', 'grad_norm': '2.164', 'learning_rate': '1.14e-05', 'epoch': '0.2263'} + 70%|████████████████████▉ | 6291/9000 [5:01:26<3:31:14, 4.68s/it] {'lm_loss': '0.4448', 'visual_loss': '2.451', 'seg_loss': '0.6316', 'dino_loss': '0.8933', 'depth_loss': '0.2251', 'vggt_mse_loss': '0.2239', 'vggt_cos_loss': '0.01227', 'pidinet_loss': '0.1766', 'siglip_loss': '0.5243', 'epoch': '0.2263'} + 70%|████████████████████▉ | 6291/9000 [5:01:30<3:31:14, 4.68s/it][Dataset] cur_step=6292 phase=C_full_covt +[Dataset] cur_step=6292 phase=C_full_covt + 70%|████████████████████▉ | 6292/9000 [5:01:30<3:20:57, 4.45s/it][Dataset] cur_step=6292 phase=C_full_covt +[Dataset] cur_step=6292 phase=C_full_covt[Dataset] cur_step=6292 phase=C_full_covt + +[Dataset] cur_step=6292 phase=C_full_covt +[Dataset] cur_step=6292 phase=C_full_covt +[Dataset] cur_step=6292 phase=C_full_covt + {'loss': '3.266', 'grad_norm': '1.764', 'learning_rate': '1.139e-05', 'epoch': '0.2264'} + 70%|████████████████████▉ | 6292/9000 [5:01:30<3:20:57, 4.45s/it] {'lm_loss': '0.4519', 'visual_loss': '2.617', 'seg_loss': '0.7622', 'dino_loss': '0.9246', 'depth_loss': '0.1789', 'vggt_mse_loss': '0.1777', 'vggt_cos_loss': '0.01274', 'pidinet_loss': '0.2292', 'siglip_loss': '0.5225', 'epoch': '0.2264'} + 70%|████████████████████▉ | 6292/9000 [5:01:34<3:20:57, 4.45s/it][Dataset] cur_step=6293 phase=C_full_covt + 70%|████████████████████▉ | 6293/9000 [5:01:34<3:12:16, 4.26s/it][Dataset] cur_step=6293 phase=C_full_covt +[Dataset] cur_step=6293 phase=C_full_covt +[Dataset] cur_step=6293 phase=C_full_covt +[Dataset] cur_step=6293 phase=C_full_covt[Dataset] cur_step=6293 phase=C_full_covt + +[Dataset] cur_step=6293 phase=C_full_covt +[Dataset] cur_step=6293 phase=C_full_covt + {'loss': '2.96', 'grad_norm': '1.979', 'learning_rate': '1.138e-05', 'epoch': '0.2264'} + 70%|████████████████████▉ | 6293/9000 [5:01:34<3:12:16, 4.26s/it] {'lm_loss': '1.072', 'visual_loss': '2.557', 'seg_loss': '0.7018', 'dino_loss': '0.9021', 'depth_loss': '0.2178', 'vggt_mse_loss': '0.2164', 'vggt_cos_loss': '0.01377', 'pidinet_loss': '0.1878', 'siglip_loss': '0.5476', 'epoch': '0.2264'} + 70%|████████████████████▉ | 6293/9000 [5:01:38<3:12:16, 4.26s/it][Dataset] cur_step=6294 phase=C_full_covt[Dataset] cur_step=6294 phase=C_full_covt + + 70%|████████████████████▉ | 6294/9000 [5:01:38<3:08:05, 4.17s/it][Dataset] cur_step=6294 phase=C_full_covt +[Dataset] cur_step=6294 phase=C_full_covt +[Dataset] cur_step=6294 phase=C_full_covt +[Dataset] cur_step=6294 phase=C_full_covt[Dataset] cur_step=6294 phase=C_full_covt +[Dataset] cur_step=6294 phase=C_full_covt + + {'loss': '3.414', 'grad_norm': '3.769', 'learning_rate': '1.137e-05', 'epoch': '0.2264'} + 70%|████████████████████▉ | 6294/9000 [5:01:38<3:08:05, 4.17s/it] {'lm_loss': '0.5737', 'visual_loss': '2.946', 'seg_loss': '0.7357', 'dino_loss': '0.9208', 'depth_loss': '0.2826', 'vggt_mse_loss': '0.2803', 'vggt_cos_loss': '0.02267', 'pidinet_loss': '0.3176', 'siglip_loss': '0.6898', 'epoch': '0.2264'} + 70%|████████████████████▉ | 6294/9000 [5:01:42<3:08:05, 4.17s/it][Dataset] cur_step=6295 phase=C_full_covt +[Dataset] cur_step=6295 phase=C_full_covt +[Dataset] cur_step=6295 phase=C_full_covt +[Dataset] cur_step=6295 phase=C_full_covt + 70%|████████████████████▉ | 6295/9000 [5:01:44<3:36:34, 4.80s/it][Dataset] cur_step=6295 phase=C_full_covt +[Dataset] cur_step=6295 phase=C_full_covt +[Dataset] cur_step=6295 phase=C_full_covt +[Dataset] cur_step=6295 phase=C_full_covt + {'loss': '3.051', 'grad_norm': '1.741', 'learning_rate': '1.136e-05', 'epoch': '0.2265'} + 70%|████████████████████▉ | 6295/9000 [5:01:44<3:36:34, 4.80s/it] {'lm_loss': '0.7253', 'visual_loss': '2.559', 'seg_loss': '0.7382', 'dino_loss': '0.9019', 'depth_loss': '0.2525', 'vggt_mse_loss': '0.2508', 'vggt_cos_loss': '0.0176', 'pidinet_loss': '0.2067', 'siglip_loss': '0.4593', 'epoch': '0.2265'} + 70%|████████████████████▉ | 6295/9000 [5:01:48<3:36:34, 4.80s/it][Dataset] cur_step=6296 phase=C_full_covt + 70%|████████████████████▉ | 6296/9000 [5:01:48<3:26:27, 4.58s/it][Dataset] cur_step=6296 phase=C_full_covt[Dataset] cur_step=6296 phase=C_full_covt + +[Dataset] cur_step=6296 phase=C_full_covt +[Dataset] cur_step=6296 phase=C_full_covt +[Dataset] cur_step=6296 phase=C_full_covt +[Dataset] cur_step=6296 phase=C_full_covt +[Dataset] cur_step=6296 phase=C_full_covt + {'loss': '3.48', 'grad_norm': '5.299', 'learning_rate': '1.136e-05', 'epoch': '0.2265'} + 70%|████████████████████▉ | 6296/9000 [5:01:48<3:26:27, 4.58s/it] {'lm_loss': '0.5342', 'visual_loss': '2.645', 'seg_loss': '0.7067', 'dino_loss': '0.8836', 'depth_loss': '0.221', 'vggt_mse_loss': '0.2194', 'vggt_cos_loss': '0.01639', 'pidinet_loss': '0.2144', 'siglip_loss': '0.6195', 'epoch': '0.2265'} + 70%|████████████████████▉ | 6296/9000 [5:01:52<3:26:27, 4.58s/it][Dataset] cur_step=6297 phase=C_full_covt +[Dataset] cur_step=6297 phase=C_full_covt +[Dataset] cur_step=6297 phase=C_full_covt +[Dataset] cur_step=6297 phase=C_full_covt +[Dataset] cur_step=6297 phase=C_full_covt + 70%|████████████████████▉ | 6297/9000 [5:01:52<3:19:09, 4.42s/it][Dataset] cur_step=6297 phase=C_full_covt +[Dataset] cur_step=6297 phase=C_full_covt[Dataset] cur_step=6297 phase=C_full_covt + + {'loss': '3.288', 'grad_norm': '2.308', 'learning_rate': '1.135e-05', 'epoch': '0.2265'} + 70%|████████████████████▉ | 6297/9000 [5:01:52<3:19:09, 4.42s/it] {'lm_loss': '0.2595', 'visual_loss': '2.707', 'seg_loss': '0.7796', 'dino_loss': '0.9241', 'depth_loss': '0.2557', 'vggt_mse_loss': '0.2537', 'vggt_cos_loss': '0.02006', 'pidinet_loss': '0.2399', 'siglip_loss': '0.5078', 'epoch': '0.2265'} + 70%|████████████████████▉ | 6297/9000 [5:01:56<3:19:09, 4.42s/it][Dataset] cur_step=6298 phase=C_full_covt +[Dataset] cur_step=6298 phase=C_full_covt + 70%|████████████████████▉ | 6298/9000 [5:01:57<3:15:28, 4.34s/it][Dataset] cur_step=6298 phase=C_full_covt +[Dataset] cur_step=6298 phase=C_full_covt +[Dataset] cur_step=6298 phase=C_full_covt +[Dataset] cur_step=6298 phase=C_full_covt[Dataset] cur_step=6298 phase=C_full_covt + +[Dataset] cur_step=6298 phase=C_full_covt + {'loss': '3.319', 'grad_norm': '1.685', 'learning_rate': '1.134e-05', 'epoch': '0.2266'} + 70%|████████████████████▉ | 6298/9000 [5:01:57<3:15:28, 4.34s/it] {'lm_loss': '0.9001', 'visual_loss': '2.785', 'seg_loss': '0.7934', 'dino_loss': '0.9255', 'depth_loss': '0.3522', 'vggt_mse_loss': '0.3488', 'vggt_cos_loss': '0.03386', 'pidinet_loss': '0.2479', 'siglip_loss': '0.4657', 'epoch': '0.2266'} + 70%|████████████████████▉ | 6298/9000 [5:02:00<3:15:28, 4.34s/it][Dataset] cur_step=6299 phase=C_full_covt +[Dataset] cur_step=6299 phase=C_full_covt +[Dataset] cur_step=6299 phase=C_full_covt + 70%|████████████████████▉ | 6299/9000 [5:02:01<3:09:56, 4.22s/it][Dataset] cur_step=6299 phase=C_full_covt +[Dataset] cur_step=6299 phase=C_full_covt[Dataset] cur_step=6299 phase=C_full_covt + +[Dataset] cur_step=6299 phase=C_full_covt +[Dataset] cur_step=6299 phase=C_full_covt + {'loss': '3.256', 'grad_norm': '3.047', 'learning_rate': '1.133e-05', 'epoch': '0.2266'} + 70%|████████████████████▉ | 6299/9000 [5:02:01<3:09:56, 4.22s/it] {'lm_loss': '0.1157', 'visual_loss': '2.47', 'seg_loss': '0.7249', 'dino_loss': '0.8854', 'depth_loss': '0.198', 'vggt_mse_loss': '0.1968', 'vggt_cos_loss': '0.01189', 'pidinet_loss': '0.269', 'siglip_loss': '0.3927', 'epoch': '0.2266'} + 70%|████████████████████▉ | 6299/9000 [5:02:04<3:09:56, 4.22s/it][Dataset] cur_step=6300 phase=C_full_covt +[Dataset] cur_step=6300 phase=C_full_covt +[Dataset] cur_step=6300 phase=C_full_covt +[Dataset] cur_step=6300 phase=C_full_covt +[Dataset] cur_step=6300 phase=C_full_covt + 70%|█████████████████████ | 6300/9000 [5:02:05<3:06:33, 4.15s/it][Dataset] cur_step=6300 phase=C_full_covt +[Dataset] cur_step=6300 phase=C_full_covt +[Dataset] cur_step=6300 phase=C_full_covt + {'loss': '3.2', 'grad_norm': '2.692', 'learning_rate': '1.133e-05', 'epoch': '0.2266'} + 70%|█████████████████████ | 6300/9000 [5:02:05<3:06:33, 4.15s/it] {'lm_loss': '0.4864', 'visual_loss': '2.575', 'seg_loss': '0.7229', 'dino_loss': '0.9045', 'depth_loss': '0.1963', 'vggt_mse_loss': '0.195', 'vggt_cos_loss': '0.013', 'pidinet_loss': '0.2565', 'siglip_loss': '0.4952', 'epoch': '0.2266'} + 70%|█████████████████████ | 6300/9000 [5:02:08<3:06:33, 4.15s/it][Dataset] cur_step=6301 phase=C_full_covt +[Dataset] cur_step=6301 phase=C_full_covt[Dataset] cur_step=6301 phase=C_full_covt + + 70%|█████████████████████ | 6301/9000 [5:02:08<3:04:10, 4.09s/it][Dataset] cur_step=6301 phase=C_full_covt +[Dataset] cur_step=6301 phase=C_full_covt +[Dataset] cur_step=6301 phase=C_full_covt +[Dataset] cur_step=6301 phase=C_full_covt +[Dataset] cur_step=6301 phase=C_full_covt + {'loss': '3.049', 'grad_norm': '2.04', 'learning_rate': '1.132e-05', 'epoch': '0.2267'} + 70%|█████████████████████ | 6301/9000 [5:02:08<3:04:10, 4.09s/it] {'lm_loss': '0.3899', 'visual_loss': '2.263', 'seg_loss': '0.6488', 'dino_loss': '0.8729', 'depth_loss': '0.1953', 'vggt_mse_loss': '0.1944', 'vggt_cos_loss': '0.008832', 'pidinet_loss': '0.1637', 'siglip_loss': '0.3827', 'epoch': '0.2267'} + 70%|█████████████████████ | 6301/9000 [5:02:12<3:04:10, 4.09s/it][Dataset] cur_step=6302 phase=C_full_covt +[Dataset] cur_step=6302 phase=C_full_covt +[Dataset] cur_step=6302 phase=C_full_covt + 70%|█████████████████████ | 6302/9000 [5:02:15<3:33:44, 4.75s/it][Dataset] cur_step=6302 phase=C_full_covt +[Dataset] cur_step=6302 phase=C_full_covt[Dataset] cur_step=6302 phase=C_full_covt + +[Dataset] cur_step=6302 phase=C_full_covt +[Dataset] cur_step=6302 phase=C_full_covt + {'loss': '3.061', 'grad_norm': '2.054', 'learning_rate': '1.131e-05', 'epoch': '0.2267'} + 70%|█████████████████████ | 6302/9000 [5:02:15<3:33:44, 4.75s/it] {'lm_loss': '1.396', 'visual_loss': '2.67', 'seg_loss': '0.7899', 'dino_loss': '0.9113', 'depth_loss': '0.2609', 'vggt_mse_loss': '0.2591', 'vggt_cos_loss': '0.01741', 'pidinet_loss': '0.2498', 'siglip_loss': '0.4582', 'epoch': '0.2267'} + 70%|█████████████████████ | 6302/9000 [5:02:18<3:33:44, 4.75s/it][Dataset] cur_step=6303 phase=C_full_covt +[Dataset] cur_step=6303 phase=C_full_covt +[Dataset] cur_step=6303 phase=C_full_covt +[Dataset] cur_step=6303 phase=C_full_covt +[Dataset] cur_step=6303 phase=C_full_covt +[Dataset] cur_step=6303 phase=C_full_covt +[Dataset] cur_step=6303 phase=C_full_covt 70%|█████████████████████ | 6303/9000 [5:02:19<3:27:49, 4.62s/it] +[Dataset] cur_step=6303 phase=C_full_covt + {'loss': '3.221', 'grad_norm': '3.335', 'learning_rate': '1.13e-05', 'epoch': '0.2268'} + 70%|█████████████████████ | 6303/9000 [5:02:19<3:27:49, 4.62s/it] {'lm_loss': '0.5303', 'visual_loss': '3.082', 'seg_loss': '0.7948', 'dino_loss': '0.9317', 'depth_loss': '0.3939', 'vggt_mse_loss': '0.3902', 'vggt_cos_loss': '0.03684', 'pidinet_loss': '0.2413', 'siglip_loss': '0.7206', 'epoch': '0.2268'} + 70%|█████████████████████ | 6303/9000 [5:02:22<3:27:49, 4.62s/it][Dataset] cur_step=6304 phase=C_full_covt +[Dataset] cur_step=6304 phase=C_full_covt +[Dataset] cur_step=6304 phase=C_full_covt +[Dataset] cur_step=6304 phase=C_full_covt[Dataset] cur_step=6304 phase=C_full_covt[Dataset] cur_step=6304 phase=C_full_covt + + +[Dataset] cur_step=6304 phase=C_full_covt + 70%|█████████████████████ | 6304/9000 [5:02:23<3:20:51, 4.47s/it][Dataset] cur_step=6304 phase=C_full_covt + {'loss': '3.254', 'grad_norm': '5.272', 'learning_rate': '1.13e-05', 'epoch': '0.2268'} + 70%|█████████████████████ | 6304/9000 [5:02:23<3:20:51, 4.47s/it] {'lm_loss': '0.4132', 'visual_loss': '2.684', 'seg_loss': '0.86', 'dino_loss': '0.9342', 'depth_loss': '0.189', 'vggt_mse_loss': '0.188', 'vggt_cos_loss': '0.01052', 'pidinet_loss': '0.2273', 'siglip_loss': '0.4739', 'epoch': '0.2268'} + 70%|█████████████████████ | 6304/9000 [5:02:26<3:20:51, 4.47s/it][Dataset] cur_step=6305 phase=C_full_covt[Dataset] cur_step=6305 phase=C_full_covt +[Dataset] cur_step=6305 phase=C_full_covt + +[Dataset] cur_step=6305 phase=C_full_covt +[Dataset] cur_step=6305 phase=C_full_covt +[Dataset] cur_step=6305 phase=C_full_covt +[Dataset] cur_step=6305 phase=C_full_covt +[Dataset] cur_step=6305 phase=C_full_covt + 70%|█████████████████████ | 6305/9000 [5:02:27<3:09:34, 4.22s/it] {'loss': '3.197', 'grad_norm': '1.969', 'learning_rate': '1.129e-05', 'epoch': '0.2268'} + 70%|█████████████████████ | 6305/9000 [5:02:27<3:09:34, 4.22s/it] {'lm_loss': '0.8807', 'visual_loss': '2.885', 'seg_loss': '0.8262', 'dino_loss': '0.9205', 'depth_loss': '0.2153', 'vggt_mse_loss': '0.2138', 'vggt_cos_loss': '0.01439', 'pidinet_loss': '0.255', 'siglip_loss': '0.6678', 'epoch': '0.2268'} + 70%|█████████████████████ | 6305/9000 [5:02:30<3:09:34, 4.22s/it][Dataset] cur_step=6306 phase=C_full_covt[Dataset] cur_step=6306 phase=C_full_covt + +[Dataset] cur_step=6306 phase=C_full_covt +[Dataset] cur_step=6306 phase=C_full_covt[Dataset] cur_step=6306 phase=C_full_covt + + 70%|█████████████████████ | 6306/9000 [5:02:31<3:11:42, 4.27s/it][Dataset] cur_step=6306 phase=C_full_covt +[Dataset] cur_step=6306 phase=C_full_covt +[Dataset] cur_step=6306 phase=C_full_covt + {'loss': '2.909', 'grad_norm': '2.096', 'learning_rate': '1.128e-05', 'epoch': '0.2269'} + 70%|█████████████████████ | 6306/9000 [5:02:31<3:11:42, 4.27s/it] {'lm_loss': '0.4165', 'visual_loss': '2.763', 'seg_loss': '0.8115', 'dino_loss': '0.9294', 'depth_loss': '0.2225', 'vggt_mse_loss': '0.2209', 'vggt_cos_loss': '0.01668', 'pidinet_loss': '0.242', 'siglip_loss': '0.5574', 'epoch': '0.2269'} + 70%|█████████████████████ | 6306/9000 [5:02:34<3:11:42, 4.27s/it][Dataset] cur_step=6307 phase=C_full_covt +[Dataset] cur_step=6307 phase=C_full_covt + 70%|█████████████████████ | 6307/9000 [5:02:35<3:06:29, 4.16s/it][Dataset] cur_step=6307 phase=C_full_covt +[Dataset] cur_step=6307 phase=C_full_covt +[Dataset] cur_step=6307 phase=C_full_covt +[Dataset] cur_step=6307 phase=C_full_covt +[Dataset] cur_step=6307 phase=C_full_covt +[Dataset] cur_step=6307 phase=C_full_covt + {'loss': '3.355', 'grad_norm': '2.582', 'learning_rate': '1.127e-05', 'epoch': '0.2269'} + 70%|█████████████████████ | 6307/9000 [5:02:35<3:06:29, 4.16s/it] {'lm_loss': '0.5984', 'visual_loss': '2.609', 'seg_loss': '0.5837', 'dino_loss': '0.8762', 'depth_loss': '0.3422', 'vggt_mse_loss': '0.3402', 'vggt_cos_loss': '0.01906', 'pidinet_loss': '0.2511', 'siglip_loss': '0.5554', 'epoch': '0.2269'} + 70%|█████████████████████ | 6307/9000 [5:02:39<3:06:29, 4.16s/it][Dataset] cur_step=6308 phase=C_full_covt[Dataset] cur_step=6308 phase=C_full_covt + + 70%|█████████████████████ | 6308/9000 [5:02:39<3:03:40, 4.09s/it][Dataset] cur_step=6308 phase=C_full_covt +[Dataset] cur_step=6308 phase=C_full_covt +[Dataset] cur_step=6308 phase=C_full_covt +[Dataset] cur_step=6308 phase=C_full_covt +[Dataset] cur_step=6308 phase=C_full_covt +[Dataset] cur_step=6308 phase=C_full_covt + {'loss': '3.178', 'grad_norm': '2.534', 'learning_rate': '1.126e-05', 'epoch': '0.2269'} + 70%|█████████████████████ | 6308/9000 [5:02:39<3:03:40, 4.09s/it] {'lm_loss': '0.3108', 'visual_loss': '2.615', 'seg_loss': '0.7183', 'dino_loss': '0.9356', 'depth_loss': '0.239', 'vggt_mse_loss': '0.2372', 'vggt_cos_loss': '0.01856', 'pidinet_loss': '0.2246', 'siglip_loss': '0.4978', 'epoch': '0.2269'} + 70%|█████████████████████ | 6308/9000 [5:02:42<3:03:40, 4.09s/it][Dataset] cur_step=6309 phase=C_full_covt[Dataset] cur_step=6309 phase=C_full_covt + +[Dataset] cur_step=6309 phase=C_full_covt + 70%|█████████████████████ | 6309/9000 [5:02:43<3:04:34, 4.12s/it][Dataset] cur_step=6309 phase=C_full_covt +[Dataset] cur_step=6309 phase=C_full_covt +[Dataset] cur_step=6309 phase=C_full_covt +[Dataset] cur_step=6309 phase=C_full_covt +[Dataset] cur_step=6309 phase=C_full_covt + {'loss': '3.035', 'grad_norm': '2.002', 'learning_rate': '1.126e-05', 'epoch': '0.227'} + 70%|█████████████████████ | 6309/9000 [5:02:43<3:04:34, 4.12s/it] {'lm_loss': '0.5647', 'visual_loss': '2.407', 'seg_loss': '0.5893', 'dino_loss': '0.89', 'depth_loss': '0.2508', 'vggt_mse_loss': '0.2494', 'vggt_cos_loss': '0.01404', 'pidinet_loss': '0.2502', 'siglip_loss': '0.4264', 'epoch': '0.227'} + 70%|█████████████████████ | 6309/9000 [5:02:47<3:04:34, 4.12s/it][Dataset] cur_step=6310 phase=C_full_covt + 70%|█████████████████████ | 6310/9000 [5:02:47<3:04:10, 4.11s/it][Dataset] cur_step=6310 phase=C_full_covt +[Dataset] cur_step=6310 phase=C_full_covt +[Dataset] cur_step=6310 phase=C_full_covt +[Dataset] cur_step=6310 phase=C_full_covt +[Dataset] cur_step=6310 phase=C_full_covt +[Dataset] cur_step=6310 phase=C_full_covt +[Dataset] cur_step=6310 phase=C_full_covt + {'loss': '3.08', 'grad_norm': '2.609', 'learning_rate': '1.125e-05', 'epoch': '0.227'} + 70%|█████████████████████ | 6310/9000 [5:02:47<3:04:10, 4.11s/it] {'lm_loss': '0.7706', 'visual_loss': '2.606', 'seg_loss': '0.6785', 'dino_loss': '0.9163', 'depth_loss': '0.2062', 'vggt_mse_loss': '0.2049', 'vggt_cos_loss': '0.01256', 'pidinet_loss': '0.2026', 'siglip_loss': '0.602', 'epoch': '0.227'} + 70%|█████████████████████ | 6310/9000 [5:02:50<3:04:10, 4.11s/it][Dataset] cur_step=6311 phase=C_full_covt +[Dataset] cur_step=6311 phase=C_full_covt +[Dataset] cur_step=6311 phase=C_full_covt +[Dataset] cur_step=6311 phase=C_full_covt +[Dataset] cur_step=6311 phase=C_full_covt + 70%|█████████████████████ | 6311/9000 [5:02:51<3:00:02, 4.02s/it][Dataset] cur_step=6311 phase=C_full_covt +[Dataset] cur_step=6311 phase=C_full_covt +[Dataset] cur_step=6311 phase=C_full_covt + {'loss': '3.425', 'grad_norm': '3.826', 'learning_rate': '1.124e-05', 'epoch': '0.227'} + 70%|█████████████████████ | 6311/9000 [5:02:51<3:00:02, 4.02s/it] {'lm_loss': '0.5127', 'visual_loss': '2.814', 'seg_loss': '0.7519', 'dino_loss': '0.9159', 'depth_loss': '0.2709', 'vggt_mse_loss': '0.269', 'vggt_cos_loss': '0.01906', 'pidinet_loss': '0.2433', 'siglip_loss': '0.6319', 'epoch': '0.227'} + 70%|█████████████████████ | 6311/9000 [5:02:54<3:00:02, 4.02s/it][Dataset] cur_step=6312 phase=C_full_covt +[Dataset] cur_step=6312 phase=C_full_covt +[Dataset] cur_step=6312 phase=C_full_covt[Dataset] cur_step=6312 phase=C_full_covt[Dataset] cur_step=6312 phase=C_full_covt + + +[Dataset] cur_step=6312 phase=C_full_covt[Dataset] cur_step=6312 phase=C_full_covt + + 70%|█████████████████████ | 6312/9000 [5:02:55<3:00:35, 4.03s/it][Dataset] cur_step=6312 phase=C_full_covt + {'loss': '2.996', 'grad_norm': '2.401', 'learning_rate': '1.123e-05', 'epoch': '0.2271'} + 70%|█████████████████████ | 6312/9000 [5:02:55<3:00:35, 4.03s/it] {'lm_loss': '0.5784', 'visual_loss': '2.578', 'seg_loss': '0.6546', 'dino_loss': '0.9086', 'depth_loss': '0.2402', 'vggt_mse_loss': '0.2384', 'vggt_cos_loss': '0.01789', 'pidinet_loss': '0.2014', 'siglip_loss': '0.5728', 'epoch': '0.2271'} + 70%|█████████████████████ | 6312/9000 [5:02:58<3:00:35, 4.03s/it][Dataset] cur_step=6313 phase=C_full_covt +[Dataset] cur_step=6313 phase=C_full_covt +[Dataset] cur_step=6313 phase=C_full_covt +[Dataset] cur_step=6313 phase=C_full_covt +[Dataset] cur_step=6313 phase=C_full_covt[Dataset] cur_step=6313 phase=C_full_covt + +[Dataset] cur_step=6313 phase=C_full_covt + 70%|█████████████████████ | 6313/9000 [5:03:00<3:04:34, 4.12s/it][Dataset] cur_step=6313 phase=C_full_covt + {'loss': '3.319', 'grad_norm': '5.669', 'learning_rate': '1.123e-05', 'epoch': '0.2271'} + 70%|█████████████████████ | 6313/9000 [5:03:00<3:04:34, 4.12s/it] {'lm_loss': '0.3347', 'visual_loss': '2.911', 'seg_loss': '0.7367', 'dino_loss': '0.9352', 'depth_loss': '0.3691', 'vggt_mse_loss': '0.3662', 'vggt_cos_loss': '0.02933', 'pidinet_loss': '0.2576', 'siglip_loss': '0.6122', 'epoch': '0.2271'} + 70%|█████████████████████ | 6313/9000 [5:03:03<3:04:34, 4.12s/it][Dataset] cur_step=6314 phase=C_full_covt[Dataset] cur_step=6314 phase=C_full_covt + +[Dataset] cur_step=6314 phase=C_full_covt[Dataset] cur_step=6314 phase=C_full_covt + + 70%|█████████████████████ | 6314/9000 [5:03:04<3:04:12, 4.12s/it][Dataset] cur_step=6314 phase=C_full_covt[Dataset] cur_step=6314 phase=C_full_covt + +[Dataset] cur_step=6314 phase=C_full_covt +[Dataset] cur_step=6314 phase=C_full_covt + {'loss': '3.057', 'grad_norm': '4.283', 'learning_rate': '1.122e-05', 'epoch': '0.2271'} + 70%|█████████████████████ | 6314/9000 [5:03:04<3:04:12, 4.12s/it] {'lm_loss': '0.002119', 'visual_loss': '2.664', 'seg_loss': '0.7167', 'dino_loss': '0.8878', 'depth_loss': '0.1895', 'vggt_mse_loss': '0.188', 'vggt_cos_loss': '0.0148', 'pidinet_loss': '0.2629', 'siglip_loss': '0.607', 'epoch': '0.2271'} + 70%|█████████████████████ | 6314/9000 [5:03:07<3:04:12, 4.12s/it][Dataset] cur_step=6315 phase=C_full_covt +[Dataset] cur_step=6315 phase=C_full_covt[Dataset] cur_step=6315 phase=C_full_covt + +[Dataset] cur_step=6315 phase=C_full_covt +[Dataset] cur_step=6315 phase=C_full_covt 70%|█████████████████████ | 6315/9000 [5:03:08<3:05:27, 4.14s/it] +[Dataset] cur_step=6315 phase=C_full_covt +[Dataset] cur_step=6315 phase=C_full_covt +[Dataset] cur_step=6315 phase=C_full_covt + {'loss': '2.939', 'grad_norm': '4.708', 'learning_rate': '1.121e-05', 'epoch': '0.2272'} + 70%|█████████████████████ | 6315/9000 [5:03:08<3:05:27, 4.14s/it] {'lm_loss': '0.4735', 'visual_loss': '2.742', 'seg_loss': '0.7037', 'dino_loss': '0.9417', 'depth_loss': '0.3117', 'vggt_mse_loss': '0.3091', 'vggt_cos_loss': '0.02605', 'pidinet_loss': '0.2159', 'siglip_loss': '0.5687', 'epoch': '0.2272'} + 70%|█████████████████████ | 6315/9000 [5:03:11<3:05:27, 4.14s/it][Dataset] cur_step=6316 phase=C_full_covt + 70%|█████████████████████ | 6316/9000 [5:03:12<3:03:03, 4.09s/it][Dataset] cur_step=6316 phase=C_full_covt +[Dataset] cur_step=6316 phase=C_full_covt +[Dataset] cur_step=6316 phase=C_full_covt +[Dataset] cur_step=6316 phase=C_full_covt +[Dataset] cur_step=6316 phase=C_full_covt +[Dataset] cur_step=6316 phase=C_full_covt +[Dataset] cur_step=6316 phase=C_full_covt + {'loss': '3.061', 'grad_norm': '2.277', 'learning_rate': '1.12e-05', 'epoch': '0.2272'} + 70%|█████████████████████ | 6316/9000 [5:03:12<3:03:03, 4.09s/it] {'lm_loss': '0.2021', 'visual_loss': '2.434', 'seg_loss': '0.5838', 'dino_loss': '0.8918', 'depth_loss': '0.253', 'vggt_mse_loss': '0.2514', 'vggt_cos_loss': '0.0157', 'pidinet_loss': '0.1875', 'siglip_loss': '0.5182', 'epoch': '0.2272'} + 70%|█████████████████████ | 6316/9000 [5:03:15<3:03:03, 4.09s/it][Dataset] cur_step=6317 phase=C_full_covt +[Dataset] cur_step=6317 phase=C_full_covt +[Dataset] cur_step=6317 phase=C_full_covt +[Dataset] cur_step=6317 phase=C_full_covt + 70%|█████████████████████ | 6317/9000 [5:03:16<3:02:27, 4.08s/it][Dataset] cur_step=6317 phase=C_full_covt +[Dataset] cur_step=6317 phase=C_full_covt +[Dataset] cur_step=6317 phase=C_full_covt +[Dataset] cur_step=6317 phase=C_full_covt + {'loss': '3.093', 'grad_norm': '1.999', 'learning_rate': '1.12e-05', 'epoch': '0.2273'} + 70%|█████████████████████ | 6317/9000 [5:03:16<3:02:27, 4.08s/it] {'lm_loss': '0.2371', 'visual_loss': '2.506', 'seg_loss': '0.6335', 'dino_loss': '0.9133', 'depth_loss': '0.2005', 'vggt_mse_loss': '0.1992', 'vggt_cos_loss': '0.01302', 'pidinet_loss': '0.2683', 'siglip_loss': '0.4904', 'epoch': '0.2273'} + 70%|█████████████████████ | 6317/9000 [5:03:20<3:02:27, 4.08s/it][Dataset] cur_step=6318 phase=C_full_covt +[Dataset] cur_step=6318 phase=C_full_covt[Dataset] cur_step=6318 phase=C_full_covt + +[Dataset] cur_step=6318 phase=C_full_covt + 70%|█████████████████████ | 6318/9000 [5:03:20<3:05:31, 4.15s/it][Dataset] cur_step=6318 phase=C_full_covt[Dataset] cur_step=6318 phase=C_full_covt + +[Dataset] cur_step=6318 phase=C_full_covt +[Dataset] cur_step=6318 phase=C_full_covt + {'loss': '3.024', 'grad_norm': '5.343', 'learning_rate': '1.119e-05', 'epoch': '0.2273'} + 70%|█████████████████████ | 6318/9000 [5:03:20<3:05:31, 4.15s/it] {'lm_loss': '1.079', 'visual_loss': '2.304', 'seg_loss': '0.6624', 'dino_loss': '0.8877', 'depth_loss': '0.2146', 'vggt_mse_loss': '0.2136', 'vggt_cos_loss': '0.01066', 'pidinet_loss': '0.1593', 'siglip_loss': '0.38', 'epoch': '0.2273'} + 70%|█████████████████████ | 6318/9000 [5:03:24<3:05:31, 4.15s/it][Dataset] cur_step=6319 phase=C_full_covt +[Dataset] cur_step=6319 phase=C_full_covt +[Dataset] cur_step=6319 phase=C_full_covt + 70%|█████████████████████ | 6319/9000 [5:03:25<3:10:03, 4.25s/it][Dataset] cur_step=6319 phase=C_full_covt +[Dataset] cur_step=6319 phase=C_full_covt +[Dataset] cur_step=6319 phase=C_full_covt +[Dataset] cur_step=6319 phase=C_full_covt +[Dataset] cur_step=6319 phase=C_full_covt + {'loss': '2.98', 'grad_norm': '1.489', 'learning_rate': '1.118e-05', 'epoch': '0.2273'} + 70%|█████████████████████ | 6319/9000 [5:03:25<3:10:03, 4.25s/it] {'lm_loss': '0.3502', 'visual_loss': '2.727', 'seg_loss': '0.7325', 'dino_loss': '0.9173', 'depth_loss': '0.2542', 'vggt_mse_loss': '0.2522', 'vggt_cos_loss': '0.01946', 'pidinet_loss': '0.2318', 'siglip_loss': '0.5914', 'epoch': '0.2273'} + 70%|█████████████████████ | 6319/9000 [5:03:28<3:10:03, 4.25s/it][Dataset] cur_step=6320 phase=C_full_covt +[Dataset] cur_step=6320 phase=C_full_covt +[Dataset] cur_step=6320 phase=C_full_covt +[Dataset] cur_step=6320 phase=C_full_covt +[Dataset] cur_step=6320 phase=C_full_covt + 70%|█████████████████████ | 6320/9000 [5:03:29<3:08:18, 4.22s/it][Dataset] cur_step=6320 phase=C_full_covt +[Dataset] cur_step=6320 phase=C_full_covt +[Dataset] cur_step=6320 phase=C_full_covt + {'loss': '3.069', 'grad_norm': '1.628', 'learning_rate': '1.117e-05', 'epoch': '0.2274'} + 70%|█████████████████████ | 6320/9000 [5:03:29<3:08:18, 4.22s/it] {'lm_loss': '0.003075', 'visual_loss': '2.468', 'seg_loss': '0.6517', 'dino_loss': '0.8979', 'depth_loss': '0.2249', 'vggt_mse_loss': '0.2235', 'vggt_cos_loss': '0.01387', 'pidinet_loss': '0.2136', 'siglip_loss': '0.4794', 'epoch': '0.2274'} + 70%|█████████████████████ | 6320/9000 [5:03:32<3:08:18, 4.22s/it][Dataset] cur_step=6321 phase=C_full_covt +[Dataset] cur_step=6321 phase=C_full_covt[Dataset] cur_step=6321 phase=C_full_covt 70%|█████████████████████ | 6321/9000 [5:03:33<3:02:51, 4.10s/it] + +[Dataset] cur_step=6321 phase=C_full_covt +[Dataset] cur_step=6321 phase=C_full_covt +[Dataset] cur_step=6321 phase=C_full_covt +[Dataset] cur_step=6321 phase=C_full_covt +[Dataset] cur_step=6321 phase=C_full_covt + {'loss': '2.938', 'grad_norm': '3.08', 'learning_rate': '1.117e-05', 'epoch': '0.2274'} + 70%|█████████████████████ | 6321/9000 [5:03:33<3:02:51, 4.10s/it] {'lm_loss': '0.3572', 'visual_loss': '2.724', 'seg_loss': '0.7644', 'dino_loss': '0.9214', 'depth_loss': '0.2473', 'vggt_mse_loss': '0.2453', 'vggt_cos_loss': '0.0201', 'pidinet_loss': '0.1958', 'siglip_loss': '0.5945', 'epoch': '0.2274'} + 70%|█████████████████████ | 6321/9000 [5:03:36<3:02:51, 4.10s/it][Dataset] cur_step=6322 phase=C_full_covt +[Dataset] cur_step=6322 phase=C_full_covt +[Dataset] cur_step=6322 phase=C_full_covt +[Dataset] cur_step=6322 phase=C_full_covt[Dataset] cur_step=6322 phase=C_full_covt + +[Dataset] cur_step=6322 phase=C_full_covt +[Dataset] cur_step=6322 phase=C_full_covt + 70%|█████████████████████ | 6322/9000 [5:03:37<3:05:24, 4.15s/it][Dataset] cur_step=6322 phase=C_full_covt + {'loss': '2.978', 'grad_norm': '1.591', 'learning_rate': '1.116e-05', 'epoch': '0.2274'} + 70%|█████████████████████ | 6322/9000 [5:03:37<3:05:24, 4.15s/it] {'lm_loss': '0.3915', 'visual_loss': '2.649', 'seg_loss': '0.7809', 'dino_loss': '0.9372', 'depth_loss': '0.2427', 'vggt_mse_loss': '0.2409', 'vggt_cos_loss': '0.01798', 'pidinet_loss': '0.1971', 'siglip_loss': '0.4913', 'epoch': '0.2274'} + 70%|█████████████████████ | 6322/9000 [5:03:40<3:05:24, 4.15s/it][Dataset] cur_step=6323 phase=C_full_covt[Dataset] cur_step=6323 phase=C_full_covt + + 70%|█████████████████████ | 6323/9000 [5:03:41<2:58:50, 4.01s/it][Dataset] cur_step=6323 phase=C_full_covt[Dataset] cur_step=6323 phase=C_full_covt + +[Dataset] cur_step=6323 phase=C_full_covt +[Dataset] cur_step=6323 phase=C_full_covt +[Dataset] cur_step=6323 phase=C_full_covt +[Dataset] cur_step=6323 phase=C_full_covt + {'loss': '3.257', 'grad_norm': '5.258', 'learning_rate': '1.115e-05', 'epoch': '0.2275'} + 70%|█████████████████████ | 6323/9000 [5:03:41<2:58:50, 4.01s/it] {'lm_loss': '0.7768', 'visual_loss': '2.667', 'seg_loss': '0.7476', 'dino_loss': '0.9107', 'depth_loss': '0.1912', 'vggt_mse_loss': '0.1898', 'vggt_cos_loss': '0.01337', 'pidinet_loss': '0.1993', 'siglip_loss': '0.6179', 'epoch': '0.2275'} + 70%|█████████████████████ | 6323/9000 [5:03:44<2:58:50, 4.01s/it][Dataset] cur_step=6324 phase=C_full_covt +[Dataset] cur_step=6324 phase=C_full_covt +[Dataset] cur_step=6324 phase=C_full_covt + 70%|█████████████████████ | 6324/9000 [5:03:45<3:00:19, 4.04s/it][Dataset] cur_step=6324 phase=C_full_covt +[Dataset] cur_step=6324 phase=C_full_covt +[Dataset] cur_step=6324 phase=C_full_covt +[Dataset] cur_step=6324 phase=C_full_covt +[Dataset] cur_step=6324 phase=C_full_covt + {'loss': '3.36', 'grad_norm': '1.771', 'learning_rate': '1.114e-05', 'epoch': '0.2275'} + 70%|█████████████████████ | 6324/9000 [5:03:45<3:00:19, 4.04s/it] {'lm_loss': '0.4789', 'visual_loss': '2.874', 'seg_loss': '0.691', 'dino_loss': '0.8766', 'depth_loss': '0.2371', 'vggt_mse_loss': '0.2352', 'vggt_cos_loss': '0.01806', 'pidinet_loss': '0.2987', 'siglip_loss': '0.7703', 'epoch': '0.2275'} + 70%|█████████████████████ | 6324/9000 [5:03:48<3:00:19, 4.04s/it][Dataset] cur_step=6325 phase=C_full_covt[Dataset] cur_step=6325 phase=C_full_covt +[Dataset] cur_step=6325 phase=C_full_covt + + 70%|█████████████████████ | 6325/9000 [5:03:48<2:56:16, 3.95s/it][Dataset] cur_step=6325 phase=C_full_covt[Dataset] cur_step=6325 phase=C_full_covt + +[Dataset] cur_step=6325 phase=C_full_covt +[Dataset] cur_step=6325 phase=C_full_covt +[Dataset] cur_step=6325 phase=C_full_covt + {'loss': '3.002', 'grad_norm': '6.177', 'learning_rate': '1.113e-05', 'epoch': '0.2275'} + 70%|█████████████████████ | 6325/9000 [5:03:48<2:56:16, 3.95s/it] {'lm_loss': '0.2876', 'visual_loss': '2.679', 'seg_loss': '0.6797', 'dino_loss': '0.9242', 'depth_loss': '0.286', 'vggt_mse_loss': '0.2838', 'vggt_cos_loss': '0.02213', 'pidinet_loss': '0.2546', 'siglip_loss': '0.5347', 'epoch': '0.2275'} + 70%|█████████████████████ | 6325/9000 [5:03:52<2:56:16, 3.95s/it][Dataset] cur_step=6326 phase=C_full_covt[Dataset] cur_step=6326 phase=C_full_covt + +[Dataset] cur_step=6326 phase=C_full_covt +[Dataset] cur_step=6326 phase=C_full_covt 70%|█████████████████████ | 6326/9000 [5:03:52<2:53:57, 3.90s/it] +[Dataset] cur_step=6326 phase=C_full_covt +[Dataset] cur_step=6326 phase=C_full_covt[Dataset] cur_step=6326 phase=C_full_covt + +[Dataset] cur_step=6326 phase=C_full_covt + {'loss': '3.076', 'grad_norm': '2.175', 'learning_rate': '1.113e-05', 'epoch': '0.2276'} + 70%|█████████████████████ | 6326/9000 [5:03:52<2:53:57, 3.90s/it] {'lm_loss': '0.5399', 'visual_loss': '2.42', 'seg_loss': '0.7096', 'dino_loss': '0.8789', 'depth_loss': '0.1835', 'vggt_mse_loss': '0.1826', 'vggt_cos_loss': '0.009427', 'pidinet_loss': '0.1495', 'siglip_loss': '0.4988', 'epoch': '0.2276'} + 70%|█████████████████████ | 6326/9000 [5:03:56<2:53:57, 3.90s/it][Dataset] cur_step=6327 phase=C_full_covt +[Dataset] cur_step=6327 phase=C_full_covt +[Dataset] cur_step=6327 phase=C_full_covt +[Dataset] cur_step=6327 phase=C_full_covt +[Dataset] cur_step=6327 phase=C_full_covt +[Dataset] cur_step=6327 phase=C_full_covt + 70%|█████████████████████ | 6327/9000 [5:03:56<2:55:00, 3.93s/it][Dataset] cur_step=6327 phase=C_full_covt +[Dataset] cur_step=6327 phase=C_full_covt + {'loss': '3.012', 'grad_norm': '2.847', 'learning_rate': '1.112e-05', 'epoch': '0.2276'} + 70%|█████████████████████ | 6327/9000 [5:03:56<2:55:00, 3.93s/it] {'lm_loss': '0.7797', 'visual_loss': '2.896', 'seg_loss': '0.7667', 'dino_loss': '0.9303', 'depth_loss': '0.481', 'vggt_mse_loss': '0.4781', 'vggt_cos_loss': '0.02879', 'pidinet_loss': '0.2406', 'siglip_loss': '0.4771', 'epoch': '0.2276'} + 70%|█████████████████████ | 6327/9000 [5:03:59<2:55:00, 3.93s/it][Dataset] cur_step=6328 phase=C_full_covt +[Dataset] cur_step=6328 phase=C_full_covt +[Dataset] cur_step=6328 phase=C_full_covt[Dataset] cur_step=6328 phase=C_full_covt + +[Dataset] cur_step=6328 phase=C_full_covt +[Dataset] cur_step=6328 phase=C_full_covt +[Dataset] cur_step=6328 phase=C_full_covt + 70%|█████████████████████ | 6328/9000 [5:04:00<2:54:53, 3.93s/it][Dataset] cur_step=6328 phase=C_full_covt + {'loss': '3.131', 'grad_norm': '2.492', 'learning_rate': '1.111e-05', 'epoch': '0.2277'} + 70%|█████████████████████ | 6328/9000 [5:04:00<2:54:53, 3.93s/it] {'lm_loss': '0.7268', 'visual_loss': '2.709', 'seg_loss': '0.7372', 'dino_loss': '0.8959', 'depth_loss': '0.1908', 'vggt_mse_loss': '0.1894', 'vggt_cos_loss': '0.01355', 'pidinet_loss': '0.2605', 'siglip_loss': '0.6244', 'epoch': '0.2277'} + 70%|█████████████████████ | 6328/9000 [5:04:03<2:54:53, 3.93s/it][Dataset] cur_step=6329 phase=C_full_covt +[Dataset] cur_step=6329 phase=C_full_covt +[Dataset] cur_step=6329 phase=C_full_covt +[Dataset] cur_step=6329 phase=C_full_covt +[Dataset] cur_step=6329 phase=C_full_covt + 70%|█████████████████████ | 6329/9000 [5:04:04<2:57:25, 3.99s/it][Dataset] cur_step=6329 phase=C_full_covt +[Dataset] cur_step=6329 phase=C_full_covt +[Dataset] cur_step=6329 phase=C_full_covt + {'loss': '3.284', 'grad_norm': '2.597', 'learning_rate': '1.11e-05', 'epoch': '0.2277'} + 70%|█████████████████████ | 6329/9000 [5:04:04<2:57:25, 3.99s/it] {'lm_loss': '0.6305', 'visual_loss': '2.667', 'seg_loss': '0.7158', 'dino_loss': '0.9123', 'depth_loss': '0.2055', 'vggt_mse_loss': '0.2039', 'vggt_cos_loss': '0.01622', 'pidinet_loss': '0.2584', 'siglip_loss': '0.5753', 'epoch': '0.2277'} + 70%|█████████████████████ | 6329/9000 [5:04:07<2:57:25, 3.99s/it][Dataset] cur_step=6330 phase=C_full_covt +[Dataset] cur_step=6330 phase=C_full_covt +[Dataset] cur_step=6330 phase=C_full_covt +[Dataset] cur_step=6330 phase=C_full_covt +[Dataset] cur_step=6330 phase=C_full_covt +[Dataset] cur_step=6330 phase=C_full_covt + 70%|█████████████████████ | 6330/9000 [5:04:08<2:57:22, 3.99s/it][Dataset] cur_step=6330 phase=C_full_covt +[Dataset] cur_step=6330 phase=C_full_covt + {'loss': '3.104', 'grad_norm': '2.361', 'learning_rate': '1.11e-05', 'epoch': '0.2277'} + 70%|█████████████████████ | 6330/9000 [5:04:08<2:57:22, 3.99s/it] {'lm_loss': '0.7988', 'visual_loss': '2.753', 'seg_loss': '0.8031', 'dino_loss': '0.9295', 'depth_loss': '0.2089', 'vggt_mse_loss': '0.2075', 'vggt_cos_loss': '0.01402', 'pidinet_loss': '0.2464', 'siglip_loss': '0.5649', 'epoch': '0.2277'} + 70%|█████████████████████ | 6330/9000 [5:04:11<2:57:22, 3.99s/it][Dataset] cur_step=6331 phase=C_full_covt[Dataset] cur_step=6331 phase=C_full_covt + +[Dataset] cur_step=6331 phase=C_full_covt +[Dataset] cur_step=6331 phase=C_full_covt[Dataset] cur_step=6331 phase=C_full_covt + +[Dataset] cur_step=6331 phase=C_full_covt + 70%|█████████████████████ | 6331/9000 [5:04:12<2:56:31, 3.97s/it][Dataset] cur_step=6331 phase=C_full_covt +[Dataset] cur_step=6331 phase=C_full_covt + {'loss': '3', 'grad_norm': '1.642', 'learning_rate': '1.109e-05', 'epoch': '0.2278'} + 70%|█████████████████████ | 6331/9000 [5:04:12<2:56:31, 3.97s/it] {'lm_loss': '0.4842', 'visual_loss': '2.219', 'seg_loss': '0.6411', 'dino_loss': '0.9015', 'depth_loss': '0.2203', 'vggt_mse_loss': '0.219', 'vggt_cos_loss': '0.01328', 'pidinet_loss': '0.1719', 'siglip_loss': '0.2847', 'epoch': '0.2278'} + 70%|█████████████████████ | 6331/9000 [5:04:16<2:56:31, 3.97s/it][Dataset] cur_step=6332 phase=C_full_covt + 70%|█████████████████████ | 6332/9000 [5:04:16<2:59:04, 4.03s/it][Dataset] cur_step=6332 phase=C_full_covt +[Dataset] cur_step=6332 phase=C_full_covt +[Dataset] cur_step=6332 phase=C_full_covt +[Dataset] cur_step=6332 phase=C_full_covt +[Dataset] cur_step=6332 phase=C_full_covt +[Dataset] cur_step=6332 phase=C_full_covt[Dataset] cur_step=6332 phase=C_full_covt + + {'loss': '2.819', 'grad_norm': '1.934', 'learning_rate': '1.108e-05', 'epoch': '0.2278'} + 70%|█████████████████████ | 6332/9000 [5:04:16<2:59:04, 4.03s/it] {'lm_loss': '0.5094', 'visual_loss': '2.621', 'seg_loss': '0.6528', 'dino_loss': '0.9105', 'depth_loss': '0.2303', 'vggt_mse_loss': '0.2288', 'vggt_cos_loss': '0.01536', 'pidinet_loss': '0.3183', 'siglip_loss': '0.5095', 'epoch': '0.2278'} + 70%|█████████████████████ | 6332/9000 [5:04:19<2:59:04, 4.03s/it][Dataset] cur_step=6333 phase=C_full_covt +[Dataset] cur_step=6333 phase=C_full_covt +[Dataset] cur_step=6333 phase=C_full_covt[Dataset] cur_step=6333 phase=C_full_covt + +[Dataset] cur_step=6333 phase=C_full_covt +[Dataset] cur_step=6333 phase=C_full_covt +[Dataset] cur_step=6333 phase=C_full_covt +[Dataset] cur_step=6333 phase=C_full_covt 70%|█████████████████████ | 6333/9000 [5:04:21<3:05:10, 4.17s/it] + {'loss': '2.815', 'grad_norm': '7.751', 'learning_rate': '1.107e-05', 'epoch': '0.2278'} + 70%|█████████████████████ | 6333/9000 [5:04:21<3:05:10, 4.17s/it] {'lm_loss': '0.4671', 'visual_loss': '2.81', 'seg_loss': '0.7291', 'dino_loss': '0.8907', 'depth_loss': '0.3555', 'vggt_mse_loss': '0.3531', 'vggt_cos_loss': '0.02321', 'pidinet_loss': '0.2527', 'siglip_loss': '0.5821', 'epoch': '0.2278'} + 70%|█████████████████████ | 6333/9000 [5:04:24<3:05:10, 4.17s/it][Dataset] cur_step=6334 phase=C_full_covt +[Dataset] cur_step=6334 phase=C_full_covt +[Dataset] cur_step=6334 phase=C_full_covt +[Dataset] cur_step=6334 phase=C_full_covt +[Dataset] cur_step=6334 phase=C_full_covt +[Dataset] cur_step=6334 phase=C_full_covt[Dataset] cur_step=6334 phase=C_full_covt + + 70%|█████████████████████ | 6334/9000 [5:04:25<2:58:57, 4.03s/it][Dataset] cur_step=6334 phase=C_full_covt + {'loss': '3.272', 'grad_norm': '3.512', 'learning_rate': '1.107e-05', 'epoch': '0.2279'} + 70%|█████████████████████ | 6334/9000 [5:04:25<2:58:57, 4.03s/it] {'lm_loss': '0.003453', 'visual_loss': '2.292', 'seg_loss': '0.6239', 'dino_loss': '0.8945', 'depth_loss': '0.2103', 'vggt_mse_loss': '0.2092', 'vggt_cos_loss': '0.01181', 'pidinet_loss': '0.1346', 'siglip_loss': '0.4284', 'epoch': '0.2279'} + 70%|█████████████████████ | 6334/9000 [5:04:28<2:58:57, 4.03s/it][Dataset] cur_step=6335 phase=C_full_covt + 70%|█████████████████████ | 6335/9000 [5:04:28<2:56:47, 3.98s/it][Dataset] cur_step=6335 phase=C_full_covt +[Dataset] cur_step=6335 phase=C_full_covt +[Dataset] cur_step=6335 phase=C_full_covt +[Dataset] cur_step=6335 phase=C_full_covt +[Dataset] cur_step=6335 phase=C_full_covt +[Dataset] cur_step=6335 phase=C_full_covt +[Dataset] cur_step=6335 phase=C_full_covt + {'loss': '2.964', 'grad_norm': '1.894', 'learning_rate': '1.106e-05', 'epoch': '0.2279'} + 70%|█████████████████████ | 6335/9000 [5:04:28<2:56:47, 3.98s/it] {'lm_loss': '0.7057', 'visual_loss': '2.911', 'seg_loss': '0.7505', 'dino_loss': '0.8886', 'depth_loss': '0.2839', 'vggt_mse_loss': '0.2817', 'vggt_cos_loss': '0.0211', 'pidinet_loss': '0.2454', 'siglip_loss': '0.7428', 'epoch': '0.2279'} + 70%|█████████████████████ | 6335/9000 [5:04:31<2:56:47, 3.98s/it][Dataset] cur_step=6336 phase=C_full_covt +[Dataset] cur_step=6336 phase=C_full_covt +[Dataset] cur_step=6336 phase=C_full_covt[Dataset] cur_step=6336 phase=C_full_covt + +[Dataset] cur_step=6336 phase=C_full_covt + 70%|█████████████████████ | 6336/9000 [5:04:32<2:50:29, 3.84s/it][Dataset] cur_step=6336 phase=C_full_covt +[Dataset] cur_step=6336 phase=C_full_covt +[Dataset] cur_step=6336 phase=C_full_covt + {'loss': '3.276', 'grad_norm': '2.469', 'learning_rate': '1.105e-05', 'epoch': '0.2279'} + 70%|█████████████████████ | 6336/9000 [5:04:32<2:50:29, 3.84s/it] {'lm_loss': '0.4889', 'visual_loss': '2.301', 'seg_loss': '0.5428', 'dino_loss': '0.8831', 'depth_loss': '0.2184', 'vggt_mse_loss': '0.2169', 'vggt_cos_loss': '0.01469', 'pidinet_loss': '0.2321', 'siglip_loss': '0.4242', 'epoch': '0.2279'} + 70%|█████████████████████ | 6336/9000 [5:04:37<2:50:29, 3.84s/it][Dataset] cur_step=6337 phase=C_full_covt +[Dataset] cur_step=6337 phase=C_full_covt + 70%|█████████████████████ | 6337/9000 [5:04:37<3:06:17, 4.20s/it][Dataset] cur_step=6337 phase=C_full_covt +[Dataset] cur_step=6337 phase=C_full_covt[Dataset] cur_step=6337 phase=C_full_covt + +[Dataset] cur_step=6337 phase=C_full_covt +[Dataset] cur_step=6337 phase=C_full_covt +[Dataset] cur_step=6337 phase=C_full_covt + {'loss': '3.099', 'grad_norm': '1.881', 'learning_rate': '1.104e-05', 'epoch': '0.228'} + 70%|█████████████████████ | 6337/9000 [5:04:37<3:06:17, 4.20s/it] {'lm_loss': '0.2159', 'visual_loss': '2.516', 'seg_loss': '0.7208', 'dino_loss': '0.8848', 'depth_loss': '0.1767', 'vggt_mse_loss': '0.1756', 'vggt_cos_loss': '0.01096', 'pidinet_loss': '0.254', 'siglip_loss': '0.4794', 'epoch': '0.228'} + 70%|█████████████████████ | 6337/9000 [5:04:40<3:06:17, 4.20s/it][Dataset] cur_step=6338 phase=C_full_covt +[Dataset] cur_step=6338 phase=C_full_covt + 70%|█████████████████████▏ | 6338/9000 [5:04:43<3:33:21, 4.81s/it][Dataset] cur_step=6338 phase=C_full_covt +[Dataset] cur_step=6338 phase=C_full_covt[Dataset] cur_step=6338 phase=C_full_covt + +[Dataset] cur_step=6338 phase=C_full_covt +[Dataset] cur_step=6338 phase=C_full_covt[Dataset] cur_step=6338 phase=C_full_covt + + {'loss': '3.428', 'grad_norm': '3.777', 'learning_rate': '1.104e-05', 'epoch': '0.228'} + 70%|█████████████████████▏ | 6338/9000 [5:04:43<3:33:21, 4.81s/it] {'lm_loss': '0.4396', 'visual_loss': '2.674', 'seg_loss': '0.5954', 'dino_loss': '0.9214', 'depth_loss': '0.2308', 'vggt_mse_loss': '0.2293', 'vggt_cos_loss': '0.01502', 'pidinet_loss': '0.3227', 'siglip_loss': '0.6033', 'epoch': '0.228'} + 70%|█████████████████████▏ | 6338/9000 [5:04:47<3:33:21, 4.81s/it][Dataset] cur_step=6339 phase=C_full_covt + 70%|█████████████████████▏ | 6339/9000 [5:04:49<3:51:39, 5.22s/it][Dataset] cur_step=6339 phase=C_full_covt +[Dataset] cur_step=6339 phase=C_full_covt +[Dataset] cur_step=6339 phase=C_full_covt[Dataset] cur_step=6339 phase=C_full_covt + +[Dataset] cur_step=6339 phase=C_full_covt +[Dataset] cur_step=6339 phase=C_full_covt +[Dataset] cur_step=6339 phase=C_full_covt + {'loss': '3.121', 'grad_norm': '4.448', 'learning_rate': '1.103e-05', 'epoch': '0.228'} + 70%|█████████████████████▏ | 6339/9000 [5:04:49<3:51:39, 5.22s/it] {'lm_loss': '0.4003', 'visual_loss': '2.641', 'seg_loss': '0.6598', 'dino_loss': '0.9139', 'depth_loss': '0.2306', 'vggt_mse_loss': '0.229', 'vggt_cos_loss': '0.01574', 'pidinet_loss': '0.2376', 'siglip_loss': '0.5995', 'epoch': '0.228'} + 70%|█████████████████████▏ | 6339/9000 [5:04:52<3:51:39, 5.22s/it][Dataset] cur_step=6340 phase=C_full_covt +[Dataset] cur_step=6340 phase=C_full_covt +[Dataset] cur_step=6340 phase=C_full_covt +[Dataset] cur_step=6340 phase=C_full_covt +[Dataset] cur_step=6340 phase=C_full_covt + 70%|█████████████████████▏ | 6340/9000 [5:04:53<3:33:52, 4.82s/it][Dataset] cur_step=6340 phase=C_full_covt +[Dataset] cur_step=6340 phase=C_full_covt[Dataset] cur_step=6340 phase=C_full_covt + + {'loss': '3.065', 'grad_norm': '2.979', 'learning_rate': '1.102e-05', 'epoch': '0.2281'} + 70%|█████████████████████▏ | 6340/9000 [5:04:53<3:33:52, 4.82s/it] {'lm_loss': '0.2191', 'visual_loss': '2.652', 'seg_loss': '0.5667', 'dino_loss': '0.886', 'depth_loss': '0.2698', 'vggt_mse_loss': '0.2682', 'vggt_cos_loss': '0.01575', 'pidinet_loss': '0.2113', 'siglip_loss': '0.7179', 'epoch': '0.2281'} + 70%|█████████████████████▏ | 6340/9000 [5:04:56<3:33:52, 4.82s/it][Dataset] cur_step=6341 phase=C_full_covt +[Dataset] cur_step=6341 phase=C_full_covt +[Dataset] cur_step=6341 phase=C_full_covt +[Dataset] cur_step=6341 phase=C_full_covt[Dataset] cur_step=6341 phase=C_full_covt + + 70%|█████████████████████▏ | 6341/9000 [5:04:57<3:18:28, 4.48s/it][Dataset] cur_step=6341 phase=C_full_covt +[Dataset] cur_step=6341 phase=C_full_covt +[Dataset] cur_step=6341 phase=C_full_covt + {'loss': '3.055', 'grad_norm': '4.154', 'learning_rate': '1.101e-05', 'epoch': '0.2281'} + 70%|█████████████████████▏ | 6341/9000 [5:04:57<3:18:28, 4.48s/it] {'lm_loss': '0.007992', 'visual_loss': '2.337', 'seg_loss': '0.6433', 'dino_loss': '0.8902', 'depth_loss': '0.2269', 'vggt_mse_loss': '0.2252', 'vggt_cos_loss': '0.01709', 'pidinet_loss': '0.1962', 'siglip_loss': '0.3802', 'epoch': '0.2281'} + 70%|█████████████████████▏ | 6341/9000 [5:05:01<3:18:28, 4.48s/it][Dataset] cur_step=6342 phase=C_full_covt + 70%|█████████████████████▏ | 6342/9000 [5:05:01<3:14:11, 4.38s/it][Dataset] cur_step=6342 phase=C_full_covt +[Dataset] cur_step=6342 phase=C_full_covt +[Dataset] cur_step=6342 phase=C_full_covt +[Dataset] cur_step=6342 phase=C_full_covt +[Dataset] cur_step=6342 phase=C_full_covt +[Dataset] cur_step=6342 phase=C_full_covt +[Dataset] cur_step=6342 phase=C_full_covt + {'loss': '3.001', 'grad_norm': '1.51', 'learning_rate': '1.1e-05', 'epoch': '0.2282'} + 70%|█████████████████████▏ | 6342/9000 [5:05:01<3:14:11, 4.38s/it] {'lm_loss': '0.343', 'visual_loss': '2.661', 'seg_loss': '0.7419', 'dino_loss': '0.9105', 'depth_loss': '0.1733', 'vggt_mse_loss': '0.1722', 'vggt_cos_loss': '0.01069', 'pidinet_loss': '0.1946', 'siglip_loss': '0.6404', 'epoch': '0.2282'} + 70%|█████████████████████▏ | 6342/9000 [5:05:07<3:14:11, 4.38s/it][Dataset] cur_step=6343 phase=C_full_covt +[Dataset] cur_step=6343 phase=C_full_covt[Dataset] cur_step=6343 phase=C_full_covt + +[Dataset] cur_step=6343 phase=C_full_covt +[Dataset] cur_step=6343 phase=C_full_covt +[Dataset] cur_step=6343 phase=C_full_covt +[Dataset] cur_step=6343 phase=C_full_covt +[Dataset] cur_step=6343 phase=C_full_covt + 70%|█████████████████████▏ | 6343/9000 [5:05:07<3:37:05, 4.90s/it] {'loss': '3.247', 'grad_norm': '2.125', 'learning_rate': '1.1e-05', 'epoch': '0.2282'} + 70%|█████████████████████▏ | 6343/9000 [5:05:07<3:37:05, 4.90s/it] {'lm_loss': '0.2871', 'visual_loss': '2.442', 'seg_loss': '0.7308', 'dino_loss': '0.9077', 'depth_loss': '0.2693', 'vggt_mse_loss': '0.2675', 'vggt_cos_loss': '0.01862', 'pidinet_loss': '0.2169', 'siglip_loss': '0.3174', 'epoch': '0.2282'} + 70%|█████████████████████▏ | 6343/9000 [5:05:11<3:37:05, 4.90s/it][Dataset] cur_step=6344 phase=C_full_covt +[Dataset] cur_step=6344 phase=C_full_covt[Dataset] cur_step=6344 phase=C_full_covt + +[Dataset] cur_step=6344 phase=C_full_covt 70%|█████████████████████▏ | 6344/9000 [5:05:11<3:22:11, 4.57s/it] +[Dataset] cur_step=6344 phase=C_full_covt +[Dataset] cur_step=6344 phase=C_full_covt +[Dataset] cur_step=6344 phase=C_full_covt +[Dataset] cur_step=6344 phase=C_full_covt + {'loss': '2.991', 'grad_norm': '2.298', 'learning_rate': '1.099e-05', 'epoch': '0.2282'} + 70%|█████████████████████▏ | 6344/9000 [5:05:11<3:22:11, 4.57s/it] {'lm_loss': '0.3186', 'visual_loss': '2.713', 'seg_loss': '0.7224', 'dino_loss': '0.9182', 'depth_loss': '0.2461', 'vggt_mse_loss': '0.2444', 'vggt_cos_loss': '0.01694', 'pidinet_loss': '0.2491', 'siglip_loss': '0.5769', 'epoch': '0.2282'} + 70%|█████████████████████▏ | 6344/9000 [5:05:14<3:22:11, 4.57s/it][Dataset] cur_step=6345 phase=C_full_covt +[Dataset] cur_step=6345 phase=C_full_covt +[Dataset] cur_step=6345 phase=C_full_covt +[Dataset] cur_step=6345 phase=C_full_covt +[Dataset] cur_step=6345 phase=C_full_covt +[Dataset] cur_step=6345 phase=C_full_covt + 70%|█████████████████████▏ | 6345/9000 [5:05:15<3:15:22, 4.42s/it][Dataset] cur_step=6345 phase=C_full_covt +[Dataset] cur_step=6345 phase=C_full_covt + {'loss': '3.171', 'grad_norm': '1.444', 'learning_rate': '1.098e-05', 'epoch': '0.2283'} + 70%|█████████████████████▏ | 6345/9000 [5:05:15<3:15:22, 4.42s/it] {'lm_loss': '0.01169', 'visual_loss': '2.456', 'seg_loss': '0.6826', 'dino_loss': '0.9031', 'depth_loss': '0.2349', 'vggt_mse_loss': '0.2339', 'vggt_cos_loss': '0.0107', 'pidinet_loss': '0.2008', 'siglip_loss': '0.4345', 'epoch': '0.2283'} + 70%|█████████████████████▏ | 6345/9000 [5:05:19<3:15:22, 4.42s/it][Dataset] cur_step=6346 phase=C_full_covt +[Dataset] cur_step=6346 phase=C_full_covt +[Dataset] cur_step=6346 phase=C_full_covt[Dataset] cur_step=6346 phase=C_full_covt + +[Dataset] cur_step=6346 phase=C_full_covt + 71%|█████████████████████▏ | 6346/9000 [5:05:19<3:11:50, 4.34s/it][Dataset] cur_step=6346 phase=C_full_covt +[Dataset] cur_step=6346 phase=C_full_covt +[Dataset] cur_step=6346 phase=C_full_covt + {'loss': '2.816', 'grad_norm': '9.579', 'learning_rate': '1.097e-05', 'epoch': '0.2283'} + 71%|█████████████████████▏ | 6346/9000 [5:05:19<3:11:50, 4.34s/it] {'lm_loss': '0.2535', 'visual_loss': '2.35', 'seg_loss': '0.7351', 'dino_loss': '0.8885', 'depth_loss': '0.2094', 'vggt_mse_loss': '0.208', 'vggt_cos_loss': '0.01364', 'pidinet_loss': '0.205', 'siglip_loss': '0.3119', 'epoch': '0.2283'} + 71%|█████████████████████▏ | 6346/9000 [5:05:22<3:11:50, 4.34s/it][Dataset] cur_step=6347 phase=C_full_covt +[Dataset] cur_step=6347 phase=C_full_covt +[Dataset] cur_step=6347 phase=C_full_covt +[Dataset] cur_step=6347 phase=C_full_covt +[Dataset] cur_step=6347 phase=C_full_covt +[Dataset] cur_step=6347 phase=C_full_covt +[Dataset] cur_step=6347 phase=C_full_covt 71%|█████████████████████▏ | 6347/9000 [5:05:26<3:38:13, 4.94s/it] +[Dataset] cur_step=6347 phase=C_full_covt + {'loss': '3.08', 'grad_norm': '7.142', 'learning_rate': '1.097e-05', 'epoch': '0.2283'} + 71%|█████████████████████▏ | 6347/9000 [5:05:26<3:38:13, 4.94s/it] {'lm_loss': '0.386', 'visual_loss': '2.497', 'seg_loss': '0.7277', 'dino_loss': '0.9249', 'depth_loss': '0.2154', 'vggt_mse_loss': '0.214', 'vggt_cos_loss': '0.014', 'pidinet_loss': '0.1855', 'siglip_loss': '0.4432', 'epoch': '0.2283'} + 71%|█████████████████████▏ | 6347/9000 [5:05:29<3:38:13, 4.94s/it][Dataset] cur_step=6348 phase=C_full_covt +[Dataset] cur_step=6348 phase=C_full_covt + 71%|█████████████████████▏ | 6348/9000 [5:05:29<3:24:23, 4.62s/it][Dataset] cur_step=6348 phase=C_full_covt +[Dataset] cur_step=6348 phase=C_full_covt +[Dataset] cur_step=6348 phase=C_full_covt +[Dataset] cur_step=6348 phase=C_full_covt +[Dataset] cur_step=6348 phase=C_full_covt +[Dataset] cur_step=6348 phase=C_full_covt + {'loss': '2.995', 'grad_norm': '5.815', 'learning_rate': '1.096e-05', 'epoch': '0.2284'} + 71%|█████████████████████▏ | 6348/9000 [5:05:29<3:24:23, 4.62s/it] {'lm_loss': '1.701', 'visual_loss': '2.883', 'seg_loss': '0.737', 'dino_loss': '0.9104', 'depth_loss': '0.2609', 'vggt_mse_loss': '0.2593', 'vggt_cos_loss': '0.0163', 'pidinet_loss': '0.2583', 'siglip_loss': '0.7168', 'epoch': '0.2284'} + 71%|█████████████████████▏ | 6348/9000 [5:05:33<3:24:23, 4.62s/it][Dataset] cur_step=6349 phase=C_full_covt +[Dataset] cur_step=6349 phase=C_full_covt[Dataset] cur_step=6349 phase=C_full_covt +[Dataset] cur_step=6349 phase=C_full_covt + +[Dataset] cur_step=6349 phase=C_full_covt +[Dataset] cur_step=6349 phase=C_full_covt +[Dataset] cur_step=6349 phase=C_full_covt +[Dataset] cur_step=6349 phase=C_full_covt 71%|█████████████████████▏ | 6349/9000 [5:05:34<3:18:45, 4.50s/it] + {'loss': '3.277', 'grad_norm': '2.411', 'learning_rate': '1.095e-05', 'epoch': '0.2284'} + 71%|█████████████████████▏ | 6349/9000 [5:05:34<3:18:45, 4.50s/it] {'lm_loss': '0.8539', 'visual_loss': '2.868', 'seg_loss': '0.7269', 'dino_loss': '0.9238', 'depth_loss': '0.4409', 'vggt_mse_loss': '0.4375', 'vggt_cos_loss': '0.03321', 'pidinet_loss': '0.24', 'siglip_loss': '0.5367', 'epoch': '0.2284'} + 71%|█████████████████████▏ | 6349/9000 [5:05:37<3:18:45, 4.50s/it][Dataset] cur_step=6350 phase=C_full_covt[Dataset] cur_step=6350 phase=C_full_covt[Dataset] cur_step=6350 phase=C_full_covt + + + 71%|█████████████████████▏ | 6350/9000 [5:05:38<3:10:30, 4.31s/it][Dataset] cur_step=6350 phase=C_full_covt +[Dataset] cur_step=6350 phase=C_full_covt +[Dataset] cur_step=6350 phase=C_full_covt +[Dataset] cur_step=6350 phase=C_full_covt +[Dataset] cur_step=6350 phase=C_full_covt + {'loss': '3.198', 'grad_norm': '3.12', 'learning_rate': '1.094e-05', 'epoch': '0.2284'} + 71%|█████████████████████▏ | 6350/9000 [5:05:38<3:10:30, 4.31s/it] {'lm_loss': '0.3683', 'visual_loss': '2.805', 'seg_loss': '0.6835', 'dino_loss': '0.8999', 'depth_loss': '0.2768', 'vggt_mse_loss': '0.2749', 'vggt_cos_loss': '0.01858', 'pidinet_loss': '0.2672', 'siglip_loss': '0.6781', 'epoch': '0.2284'} + 71%|█████████████████████▏ | 6350/9000 [5:05:41<3:10:30, 4.31s/it][Dataset] cur_step=6351 phase=C_full_covt +[Dataset] cur_step=6351 phase=C_full_covt 71%|█████████████████████▏ | 6351/9000 [5:05:41<3:04:39, 4.18s/it] +[Dataset] cur_step=6351 phase=C_full_covt[Dataset] cur_step=6351 phase=C_full_covt +[Dataset] cur_step=6351 phase=C_full_covt + +[Dataset] cur_step=6351 phase=C_full_covt +[Dataset] cur_step=6351 phase=C_full_covt[Dataset] cur_step=6351 phase=C_full_covt + + {'loss': '2.976', 'grad_norm': '2.064', 'learning_rate': '1.094e-05', 'epoch': '0.2285'} + 71%|█████████████████████▏ | 6351/9000 [5:05:41<3:04:39, 4.18s/it] {'lm_loss': '0.3188', 'visual_loss': '2.86', 'seg_loss': '0.8216', 'dino_loss': '0.9345', 'depth_loss': '0.2924', 'vggt_mse_loss': '0.2904', 'vggt_cos_loss': '0.0205', 'pidinet_loss': '0.2646', 'siglip_loss': '0.5468', 'epoch': '0.2285'} + 71%|█████████████████████▏ | 6351/9000 [5:05:45<3:04:39, 4.18s/it][Dataset] cur_step=6352 phase=C_full_covt +[Dataset] cur_step=6352 phase=C_full_covt +[Dataset] cur_step=6352 phase=C_full_covt +[Dataset] cur_step=6352 phase=C_full_covt[Dataset] cur_step=6352 phase=C_full_covt +[Dataset] cur_step=6352 phase=C_full_covt + +[Dataset] cur_step=6352 phase=C_full_covt + 71%|█████████████████████▏ | 6352/9000 [5:05:46<3:03:30, 4.16s/it][Dataset] cur_step=6352 phase=C_full_covt + {'loss': '3.142', 'grad_norm': '2.045', 'learning_rate': '1.093e-05', 'epoch': '0.2285'} + 71%|█████████████████████▏ | 6352/9000 [5:05:46<3:03:30, 4.16s/it] {'lm_loss': '0.4779', 'visual_loss': '2.54', 'seg_loss': '0.7419', 'dino_loss': '0.9064', 'depth_loss': '0.1972', 'vggt_mse_loss': '0.196', 'vggt_cos_loss': '0.01268', 'pidinet_loss': '0.2197', 'siglip_loss': '0.4746', 'epoch': '0.2285'} + 71%|█████████████████████▏ | 6352/9000 [5:05:49<3:03:30, 4.16s/it][Dataset] cur_step=6353 phase=C_full_covt +[Dataset] cur_step=6353 phase=C_full_covt +[Dataset] cur_step=6353 phase=C_full_covt +[Dataset] cur_step=6353 phase=C_full_covt 71%|█████████████████████▏ | 6353/9000 [5:05:52<3:29:01, 4.74s/it] +[Dataset] cur_step=6353 phase=C_full_covt +[Dataset] cur_step=6353 phase=C_full_covt +[Dataset] cur_step=6353 phase=C_full_covt +[Dataset] cur_step=6353 phase=C_full_covt + {'loss': '2.945', 'grad_norm': '5.856', 'learning_rate': '1.092e-05', 'epoch': '0.2285'} + 71%|█████████████████████▏ | 6353/9000 [5:05:52<3:29:01, 4.74s/it] {'lm_loss': '0.4871', 'visual_loss': '2.624', 'seg_loss': '0.7549', 'dino_loss': '0.9059', 'depth_loss': '0.2454', 'vggt_mse_loss': '0.2439', 'vggt_cos_loss': '0.01492', 'pidinet_loss': '0.2244', 'siglip_loss': '0.493', 'epoch': '0.2285'} + 71%|█████████████████████▏ | 6353/9000 [5:05:55<3:29:01, 4.74s/it][Dataset] cur_step=6354 phase=C_full_covt[Dataset] cur_step=6354 phase=C_full_covt + +[Dataset] cur_step=6354 phase=C_full_covt[Dataset] cur_step=6354 phase=C_full_covt + +[Dataset] cur_step=6354 phase=C_full_covt + 71%|█████████████████████▏ | 6354/9000 [5:05:56<3:22:37, 4.59s/it][Dataset] cur_step=6354 phase=C_full_covt +[Dataset] cur_step=6354 phase=C_full_covt +[Dataset] cur_step=6354 phase=C_full_covt + {'loss': '3.028', 'grad_norm': '2.206', 'learning_rate': '1.091e-05', 'epoch': '0.2286'} + 71%|█████████████████████▏ | 6354/9000 [5:05:56<3:22:37, 4.59s/it] {'lm_loss': '0.8108', 'visual_loss': '2.861', 'seg_loss': '0.5731', 'dino_loss': '0.9073', 'depth_loss': '0.4001', 'vggt_mse_loss': '0.3955', 'vggt_cos_loss': '0.04667', 'pidinet_loss': '0.2985', 'siglip_loss': '0.682', 'epoch': '0.2286'} + 71%|█████████████████████▏ | 6354/9000 [5:05:59<3:22:37, 4.59s/it][Dataset] cur_step=6355 phase=C_full_covt +[Dataset] cur_step=6355 phase=C_full_covt +[Dataset] cur_step=6355 phase=C_full_covt +[Dataset] cur_step=6355 phase=C_full_covt +[Dataset] cur_step=6355 phase=C_full_covt + 71%|█████████████████████▏ | 6355/9000 [5:06:00<3:18:29, 4.50s/it][Dataset] cur_step=6355 phase=C_full_covt[Dataset] cur_step=6355 phase=C_full_covt + +[Dataset] cur_step=6355 phase=C_full_covt + {'loss': '3.187', 'grad_norm': '5.52', 'learning_rate': '1.091e-05', 'epoch': '0.2286'} + 71%|█████████████████████▏ | 6355/9000 [5:06:00<3:18:29, 4.50s/it] {'lm_loss': '0.4412', 'visual_loss': '2.132', 'seg_loss': '0.6199', 'dino_loss': '0.8666', 'depth_loss': '0.1843', 'vggt_mse_loss': '0.1833', 'vggt_cos_loss': '0.01055', 'pidinet_loss': '0.1597', 'siglip_loss': '0.302', 'epoch': '0.2286'} + 71%|█████████████████████▏ | 6355/9000 [5:06:03<3:18:29, 4.50s/it][Dataset] cur_step=6356 phase=C_full_covt[Dataset] cur_step=6356 phase=C_full_covt + +[Dataset] cur_step=6356 phase=C_full_covt +[Dataset] cur_step=6356 phase=C_full_covt + 71%|█████████████████████▏ | 6356/9000 [5:06:04<3:13:47, 4.40s/it][Dataset] cur_step=6356 phase=C_full_covt +[Dataset] cur_step=6356 phase=C_full_covt +[Dataset] cur_step=6356 phase=C_full_covt +[Dataset] cur_step=6356 phase=C_full_covt + {'loss': '3.214', 'grad_norm': '1.694', 'learning_rate': '1.09e-05', 'epoch': '0.2287'} + 71%|█████████████████████▏ | 6356/9000 [5:06:04<3:13:47, 4.40s/it] {'lm_loss': '0.6637', 'visual_loss': '2.808', 'seg_loss': '0.84', 'dino_loss': '0.9347', 'depth_loss': '0.24', 'vggt_mse_loss': '0.2384', 'vggt_cos_loss': '0.01651', 'pidinet_loss': '0.2388', 'siglip_loss': '0.5543', 'epoch': '0.2287'} + 71%|█████████████████████▏ | 6356/9000 [5:06:08<3:13:47, 4.40s/it][Dataset] cur_step=6357 phase=C_full_covt +[Dataset] cur_step=6357 phase=C_full_covt[Dataset] cur_step=6357 phase=C_full_covt + +[Dataset] cur_step=6357 phase=C_full_covt +[Dataset] cur_step=6357 phase=C_full_covt[Dataset] cur_step=6357 phase=C_full_covt + +[Dataset] cur_step=6357 phase=C_full_covt +[Dataset] cur_step=6357 phase=C_full_covt + 71%|█████████████████████▏ | 6357/9000 [5:06:09<3:11:56, 4.36s/it] {'loss': '3.253', 'grad_norm': '2.07', 'learning_rate': '1.089e-05', 'epoch': '0.2287'} + 71%|█████████████████████▏ | 6357/9000 [5:06:09<3:11:56, 4.36s/it] {'lm_loss': '0.4423', 'visual_loss': '2.764', 'seg_loss': '0.7273', 'dino_loss': '0.9083', 'depth_loss': '0.3011', 'vggt_mse_loss': '0.299', 'vggt_cos_loss': '0.02086', 'pidinet_loss': '0.2453', 'siglip_loss': '0.5819', 'epoch': '0.2287'} + 71%|█████████████████████▏ | 6357/9000 [5:06:11<3:11:56, 4.36s/it][Dataset] cur_step=6358 phase=C_full_covt +[Dataset] cur_step=6358 phase=C_full_covt[Dataset] cur_step=6358 phase=C_full_covt + +[Dataset] cur_step=6358 phase=C_full_covt +[Dataset] cur_step=6358 phase=C_full_covt +[Dataset] cur_step=6358 phase=C_full_covt +[Dataset] cur_step=6358 phase=C_full_covt +[Dataset] cur_step=6358 phase=C_full_covt + 71%|█████████████████████▏ | 6358/9000 [5:06:12<3:01:27, 4.12s/it] {'loss': '3.084', 'grad_norm': '2.311', 'learning_rate': '1.088e-05', 'epoch': '0.2287'} + 71%|█████████████████████▏ | 6358/9000 [5:06:12<3:01:27, 4.12s/it] {'lm_loss': '0.7433', 'visual_loss': '2.721', 'seg_loss': '0.714', 'dino_loss': '0.9071', 'depth_loss': '0.1647', 'vggt_mse_loss': '0.1636', 'vggt_cos_loss': '0.01129', 'pidinet_loss': '0.2341', 'siglip_loss': '0.7011', 'epoch': '0.2287'} + 71%|█████████████████████▏ | 6358/9000 [5:06:15<3:01:27, 4.12s/it][Dataset] cur_step=6359 phase=C_full_covt +[Dataset] cur_step=6359 phase=C_full_covt[Dataset] cur_step=6359 phase=C_full_covt + +[Dataset] cur_step=6359 phase=C_full_covt +[Dataset] cur_step=6359 phase=C_full_covt[Dataset] cur_step=6359 phase=C_full_covt + +[Dataset] cur_step=6359 phase=C_full_covt + 71%|█████████████████████▏ | 6359/9000 [5:06:16<2:55:48, 3.99s/it][Dataset] cur_step=6359 phase=C_full_covt + {'loss': '3.055', 'grad_norm': '4.389', 'learning_rate': '1.088e-05', 'epoch': '0.2288'} + 71%|█████████████████████▏ | 6359/9000 [5:06:16<2:55:48, 3.99s/it] {'lm_loss': '0.2612', 'visual_loss': '2.774', 'seg_loss': '0.8101', 'dino_loss': '0.9154', 'depth_loss': '0.233', 'vggt_mse_loss': '0.2316', 'vggt_cos_loss': '0.01433', 'pidinet_loss': '0.2643', 'siglip_loss': '0.551', 'epoch': '0.2288'} + 71%|█████████████████████▏ | 6359/9000 [5:06:19<2:55:48, 3.99s/it][Dataset] cur_step=6360 phase=C_full_covt +[Dataset] cur_step=6360 phase=C_full_covt +[Dataset] cur_step=6360 phase=C_full_covt +[Dataset] cur_step=6360 phase=C_full_covt +[Dataset] cur_step=6360 phase=C_full_covt[Dataset] cur_step=6360 phase=C_full_covt + + 71%|█████████████████████▏ | 6360/9000 [5:06:22<3:19:22, 4.53s/it][Dataset] cur_step=6360 phase=C_full_covt +[Dataset] cur_step=6360 phase=C_full_covt + {'loss': '3.014', 'grad_norm': '1.835', 'learning_rate': '1.087e-05', 'epoch': '0.2288'} + 71%|█████████████████████▏ | 6360/9000 [5:06:22<3:19:22, 4.53s/it] {'lm_loss': '0.7277', 'visual_loss': '2.7', 'seg_loss': '0.7211', 'dino_loss': '0.8893', 'depth_loss': '0.1908', 'vggt_mse_loss': '0.1894', 'vggt_cos_loss': '0.01444', 'pidinet_loss': '0.2856', 'siglip_loss': '0.6137', 'epoch': '0.2288'} + 71%|█████████████████████▏ | 6360/9000 [5:06:25<3:19:22, 4.53s/it][Dataset] cur_step=6361 phase=C_full_covt +[Dataset] cur_step=6361 phase=C_full_covt +[Dataset] cur_step=6361 phase=C_full_covt[Dataset] cur_step=6361 phase=C_full_covt + +[Dataset] cur_step=6361 phase=C_full_covt +[Dataset] cur_step=6361 phase=C_full_covt + 71%|█████████████████████▏ | 6361/9000 [5:06:25<3:09:32, 4.31s/it][Dataset] cur_step=6361 phase=C_full_covt +[Dataset] cur_step=6361 phase=C_full_covt + {'loss': '3.157', 'grad_norm': '2.318', 'learning_rate': '1.086e-05', 'epoch': '0.2288'} + 71%|█████████████████████▏ | 6361/9000 [5:06:25<3:09:32, 4.31s/it] {'lm_loss': '0.003593', 'visual_loss': '2.37', 'seg_loss': '0.6207', 'dino_loss': '0.9081', 'depth_loss': '0.2576', 'vggt_mse_loss': '0.256', 'vggt_cos_loss': '0.01599', 'pidinet_loss': '0.202', 'siglip_loss': '0.3817', 'epoch': '0.2288'} + 71%|█████████████████████▏ | 6361/9000 [5:06:29<3:09:32, 4.31s/it][Dataset] cur_step=6362 phase=C_full_covt +[Dataset] cur_step=6362 phase=C_full_covt +[Dataset] cur_step=6362 phase=C_full_covt +[Dataset] cur_step=6362 phase=C_full_covt +[Dataset] cur_step=6362 phase=C_full_covt +[Dataset] cur_step=6362 phase=C_full_covt +[Dataset] cur_step=6362 phase=C_full_covt +[Dataset] cur_step=6362 phase=C_full_covt + 71%|█████████████████████▏ | 6362/9000 [5:06:29<3:01:04, 4.12s/it] {'loss': '2.929', 'grad_norm': '2.716', 'learning_rate': '1.085e-05', 'epoch': '0.2289'} + 71%|█████████████████████▏ | 6362/9000 [5:06:29<3:01:04, 4.12s/it] {'lm_loss': '0.8131', 'visual_loss': '2.95', 'seg_loss': '0.7752', 'dino_loss': '0.9209', 'depth_loss': '0.2399', 'vggt_mse_loss': '0.2382', 'vggt_cos_loss': '0.01705', 'pidinet_loss': '0.2143', 'siglip_loss': '0.7992', 'epoch': '0.2289'} + 71%|█████████████████████▏ | 6362/9000 [5:06:32<3:01:04, 4.12s/it][Dataset] cur_step=6363 phase=C_full_covt +[Dataset] cur_step=6363 phase=C_full_covt +[Dataset] cur_step=6363 phase=C_full_covt +[Dataset] cur_step=6363 phase=C_full_covt +[Dataset] cur_step=6363 phase=C_full_covt + 71%|█████████████████████▏ | 6363/9000 [5:06:33<2:57:07, 4.03s/it][Dataset] cur_step=6363 phase=C_full_covt +[Dataset] cur_step=6363 phase=C_full_covt +[Dataset] cur_step=6363 phase=C_full_covt + {'loss': '3.21', 'grad_norm': '2.244', 'learning_rate': '1.085e-05', 'epoch': '0.2289'} + 71%|█████████████████████▏ | 6363/9000 [5:06:33<2:57:07, 4.03s/it] {'lm_loss': '0.004412', 'visual_loss': '2.197', 'seg_loss': '0.6164', 'dino_loss': '0.882', 'depth_loss': '0.188', 'vggt_mse_loss': '0.1872', 'vggt_cos_loss': '0.008387', 'pidinet_loss': '0.1912', 'siglip_loss': '0.3194', 'epoch': '0.2289'} + 71%|█████████████████████▏ | 6363/9000 [5:06:37<2:57:07, 4.03s/it][Dataset] cur_step=6364 phase=C_full_covt[Dataset] cur_step=6364 phase=C_full_covt + +[Dataset] cur_step=6364 phase=C_full_covt[Dataset] cur_step=6364 phase=C_full_covt + + 71%|█████████████████████▏ | 6364/9000 [5:06:37<3:01:08, 4.12s/it][Dataset] cur_step=6364 phase=C_full_covt +[Dataset] cur_step=6364 phase=C_full_covt +[Dataset] cur_step=6364 phase=C_full_covt +[Dataset] cur_step=6364 phase=C_full_covt + {'loss': '2.849', 'grad_norm': '3.355', 'learning_rate': '1.084e-05', 'epoch': '0.2289'} + 71%|█████████████████████▏ | 6364/9000 [5:06:37<3:01:08, 4.12s/it] {'lm_loss': '0.0134', 'visual_loss': '2.402', 'seg_loss': '0.6517', 'dino_loss': '0.8936', 'depth_loss': '0.3208', 'vggt_mse_loss': '0.3187', 'vggt_cos_loss': '0.02139', 'pidinet_loss': '0.2385', 'siglip_loss': '0.2971', 'epoch': '0.2289'} + 71%|█████████████████████▏ | 6364/9000 [5:06:43<3:01:08, 4.12s/it][Dataset] cur_step=6365 phase=C_full_covt +[Dataset] cur_step=6365 phase=C_full_covt +[Dataset] cur_step=6365 phase=C_full_covt +[Dataset] cur_step=6365 phase=C_full_covt + 71%|█████████████████████▏ | 6365/9000 [5:06:44<3:36:58, 4.94s/it][Dataset] cur_step=6365 phase=C_full_covt +[Dataset] cur_step=6365 phase=C_full_covt +[Dataset] cur_step=6365 phase=C_full_covt +[Dataset] cur_step=6365 phase=C_full_covt + {'loss': '2.871', 'grad_norm': '4.5', 'learning_rate': '1.083e-05', 'epoch': '0.229'} + 71%|█████████████████████▏ | 6365/9000 [5:06:44<3:36:58, 4.94s/it] {'lm_loss': '0.00258', 'visual_loss': '2.779', 'seg_loss': '0.7523', 'dino_loss': '0.8975', 'depth_loss': '0.2672', 'vggt_mse_loss': '0.2657', 'vggt_cos_loss': '0.01513', 'pidinet_loss': '0.2583', 'siglip_loss': '0.6043', 'epoch': '0.229'} + 71%|█████████████████████▏ | 6365/9000 [5:06:48<3:36:58, 4.94s/it][Dataset] cur_step=6366 phase=C_full_covt + 71%|█████████████████████▏ | 6366/9000 [5:06:48<3:24:28, 4.66s/it][Dataset] cur_step=6366 phase=C_full_covt +[Dataset] cur_step=6366 phase=C_full_covt[Dataset] cur_step=6366 phase=C_full_covt + +[Dataset] cur_step=6366 phase=C_full_covt +[Dataset] cur_step=6366 phase=C_full_covt +[Dataset] cur_step=6366 phase=C_full_covt +[Dataset] cur_step=6366 phase=C_full_covt + {'loss': '3.151', 'grad_norm': '2.172', 'learning_rate': '1.082e-05', 'epoch': '0.229'} + 71%|█████████████████████▏ | 6366/9000 [5:06:48<3:24:28, 4.66s/it] {'lm_loss': '0.5057', 'visual_loss': '2.551', 'seg_loss': '0.6517', 'dino_loss': '0.902', 'depth_loss': '0.2996', 'vggt_mse_loss': '0.2973', 'vggt_cos_loss': '0.02353', 'pidinet_loss': '0.217', 'siglip_loss': '0.4806', 'epoch': '0.229'} + 71%|█████████████████████▏ | 6366/9000 [5:06:52<3:24:28, 4.66s/it][Dataset] cur_step=6367 phase=C_full_covt +[Dataset] cur_step=6367 phase=C_full_covt[Dataset] cur_step=6367 phase=C_full_covt +[Dataset] cur_step=6367 phase=C_full_covt + +[Dataset] cur_step=6367 phase=C_full_covt + 71%|█████████████████████▏ | 6367/9000 [5:06:52<3:15:13, 4.45s/it][Dataset] cur_step=6367 phase=C_full_covt +[Dataset] cur_step=6367 phase=C_full_covt +[Dataset] cur_step=6367 phase=C_full_covt + {'loss': '3.336', 'grad_norm': '1.975', 'learning_rate': '1.082e-05', 'epoch': '0.2291'} + 71%|█████████████████████▏ | 6367/9000 [5:06:52<3:15:13, 4.45s/it] {'lm_loss': '0.3873', 'visual_loss': '2.672', 'seg_loss': '0.6537', 'dino_loss': '0.9232', 'depth_loss': '0.2922', 'vggt_mse_loss': '0.2896', 'vggt_cos_loss': '0.02561', 'pidinet_loss': '0.1911', 'siglip_loss': '0.6121', 'epoch': '0.2291'} + 71%|█████████████████████▏ | 6367/9000 [5:06:56<3:15:13, 4.45s/it][Dataset] cur_step=6368 phase=C_full_covt +[Dataset] cur_step=6368 phase=C_full_covt +[Dataset] cur_step=6368 phase=C_full_covt +[Dataset] cur_step=6368 phase=C_full_covt[Dataset] cur_step=6368 phase=C_full_covt + + 71%|█████████████████████▏ | 6368/9000 [5:06:58<3:36:47, 4.94s/it][Dataset] cur_step=6368 phase=C_full_covt +[Dataset] cur_step=6368 phase=C_full_covt +[Dataset] cur_step=6368 phase=C_full_covt + {'loss': '3.138', 'grad_norm': '2.249', 'learning_rate': '1.081e-05', 'epoch': '0.2291'} + 71%|█████████████████████▏ | 6368/9000 [5:06:58<3:36:47, 4.94s/it] {'lm_loss': '0.3953', 'visual_loss': '2.935', 'seg_loss': '0.6522', 'dino_loss': '0.907', 'depth_loss': '0.3457', 'vggt_mse_loss': '0.3425', 'vggt_cos_loss': '0.03207', 'pidinet_loss': '0.225', 'siglip_loss': '0.8052', 'epoch': '0.2291'} + 71%|█████████████████████▏ | 6368/9000 [5:07:02<3:36:47, 4.94s/it][Dataset] cur_step=6369 phase=C_full_covt +[Dataset] cur_step=6369 phase=C_full_covt +[Dataset] cur_step=6369 phase=C_full_covt +[Dataset] cur_step=6369 phase=C_full_covt +[Dataset] cur_step=6369 phase=C_full_covt +[Dataset] cur_step=6369 phase=C_full_covt +[Dataset] cur_step=6369 phase=C_full_covt + 71%|█████████████████████▏ | 6369/9000 [5:07:02<3:25:05, 4.68s/it][Dataset] cur_step=6369 phase=C_full_covt + {'loss': '3.058', 'grad_norm': '2.761', 'learning_rate': '1.08e-05', 'epoch': '0.2291'} + 71%|█████████████████████▏ | 6369/9000 [5:07:02<3:25:05, 4.68s/it] {'lm_loss': '0.3602', 'visual_loss': '2.519', 'seg_loss': '0.6715', 'dino_loss': '0.886', 'depth_loss': '0.2557', 'vggt_mse_loss': '0.254', 'vggt_cos_loss': '0.01735', 'pidinet_loss': '0.209', 'siglip_loss': '0.4965', 'epoch': '0.2291'} + 71%|█████████████████████▏ | 6369/9000 [5:07:05<3:25:05, 4.68s/it][Dataset] cur_step=6370 phase=C_full_covt +[Dataset] cur_step=6370 phase=C_full_covt +[Dataset] cur_step=6370 phase=C_full_covt +[Dataset] cur_step=6370 phase=C_full_covt +[Dataset] cur_step=6370 phase=C_full_covt +[Dataset] cur_step=6370 phase=C_full_covt +[Dataset] cur_step=6370 phase=C_full_covt +[Dataset] cur_step=6370 phase=C_full_covt + 71%|█████████████████████▏ | 6370/9000 [5:07:07<3:20:24, 4.57s/it] {'loss': '3.306', 'grad_norm': '1.95', 'learning_rate': '1.079e-05', 'epoch': '0.2292'} + 71%|█████████████████████▏ | 6370/9000 [5:07:07<3:20:24, 4.57s/it] {'lm_loss': '0.7274', 'visual_loss': '2.793', 'seg_loss': '0.8331', 'dino_loss': '0.902', 'depth_loss': '0.2204', 'vggt_mse_loss': '0.2188', 'vggt_cos_loss': '0.01549', 'pidinet_loss': '0.2522', 'siglip_loss': '0.5853', 'epoch': '0.2292'} + 71%|█████████████████████▏ | 6370/9000 [5:07:10<3:20:24, 4.57s/it][Dataset] cur_step=6371 phase=C_full_covt +[Dataset] cur_step=6371 phase=C_full_covt +[Dataset] cur_step=6371 phase=C_full_covt[Dataset] cur_step=6371 phase=C_full_covt + + 71%|█████████████████████▏ | 6371/9000 [5:07:11<3:17:20, 4.50s/it][Dataset] cur_step=6371 phase=C_full_covt +[Dataset] cur_step=6371 phase=C_full_covt[Dataset] cur_step=6371 phase=C_full_covt + +[Dataset] cur_step=6371 phase=C_full_covt + {'loss': '3.287', 'grad_norm': '1.634', 'learning_rate': '1.079e-05', 'epoch': '0.2292'} + 71%|█████████████████████▏ | 6371/9000 [5:07:11<3:17:20, 4.50s/it] {'lm_loss': '0.2059', 'visual_loss': '2.797', 'seg_loss': '0.7051', 'dino_loss': '0.9435', 'depth_loss': '0.2198', 'vggt_mse_loss': '0.2185', 'vggt_cos_loss': '0.01266', 'pidinet_loss': '0.256', 'siglip_loss': '0.6728', 'epoch': '0.2292'} + 71%|█████████████████████▏ | 6371/9000 [5:07:14<3:17:20, 4.50s/it][Dataset] cur_step=6372 phase=C_full_covt +[Dataset] cur_step=6372 phase=C_full_covt[Dataset] cur_step=6372 phase=C_full_covt + +[Dataset] cur_step=6372 phase=C_full_covt[Dataset] cur_step=6372 phase=C_full_covt + + 71%|█████████████████████▏ | 6372/9000 [5:07:15<3:10:05, 4.34s/it][Dataset] cur_step=6372 phase=C_full_covt +[Dataset] cur_step=6372 phase=C_full_covt +[Dataset] cur_step=6372 phase=C_full_covt + {'loss': '3.213', 'grad_norm': '2.276', 'learning_rate': '1.078e-05', 'epoch': '0.2292'} + 71%|█████████████████████▏ | 6372/9000 [5:07:15<3:10:05, 4.34s/it] {'lm_loss': '0.5247', 'visual_loss': '2.777', 'seg_loss': '0.8022', 'dino_loss': '0.927', 'depth_loss': '0.3468', 'vggt_mse_loss': '0.3441', 'vggt_cos_loss': '0.02746', 'pidinet_loss': '0.2821', 'siglip_loss': '0.4187', 'epoch': '0.2292'} + 71%|█████████████████████▏ | 6372/9000 [5:07:18<3:10:05, 4.34s/it][Dataset] cur_step=6373 phase=C_full_covt[Dataset] cur_step=6373 phase=C_full_covt + + 71%|█████████████████████▏ | 6373/9000 [5:07:19<3:04:58, 4.22s/it][Dataset] cur_step=6373 phase=C_full_covt +[Dataset] cur_step=6373 phase=C_full_covt +[Dataset] cur_step=6373 phase=C_full_covt +[Dataset] cur_step=6373 phase=C_full_covt +[Dataset] cur_step=6373 phase=C_full_covt +[Dataset] cur_step=6373 phase=C_full_covt + {'loss': '2.901', 'grad_norm': '2.322', 'learning_rate': '1.077e-05', 'epoch': '0.2293'} + 71%|█████████████████████▏ | 6373/9000 [5:07:19<3:04:58, 4.22s/it] {'lm_loss': '0.8221', 'visual_loss': '2.979', 'seg_loss': '0.7269', 'dino_loss': '0.933', 'depth_loss': '0.4131', 'vggt_mse_loss': '0.4097', 'vggt_cos_loss': '0.03435', 'pidinet_loss': '0.2248', 'siglip_loss': '0.6812', 'epoch': '0.2293'} + 71%|█████████████████████▏ | 6373/9000 [5:07:22<3:04:58, 4.22s/it][Dataset] cur_step=6374 phase=C_full_covt +[Dataset] cur_step=6374 phase=C_full_covt +[Dataset] cur_step=6374 phase=C_full_covt[Dataset] cur_step=6374 phase=C_full_covt[Dataset] cur_step=6374 phase=C_full_covt + + +[Dataset] cur_step=6374 phase=C_full_covt + 71%|█████████████████████▏ | 6374/9000 [5:07:23<2:59:12, 4.09s/it][Dataset] cur_step=6374 phase=C_full_covt +[Dataset] cur_step=6374 phase=C_full_covt + {'loss': '3.197', 'grad_norm': '1.812', 'learning_rate': '1.076e-05', 'epoch': '0.2293'} + 71%|█████████████████████▏ | 6374/9000 [5:07:23<2:59:12, 4.09s/it] {'lm_loss': '0.001919', 'visual_loss': '2.628', 'seg_loss': '0.7123', 'dino_loss': '0.92', 'depth_loss': '0.2119', 'vggt_mse_loss': '0.2104', 'vggt_cos_loss': '0.01459', 'pidinet_loss': '0.2472', 'siglip_loss': '0.5371', 'epoch': '0.2293'} + 71%|█████████████████████▏ | 6374/9000 [5:07:26<2:59:12, 4.09s/it][Dataset] cur_step=6375 phase=C_full_covt +[Dataset] cur_step=6375 phase=C_full_covt[Dataset] cur_step=6375 phase=C_full_covt + +[Dataset] cur_step=6375 phase=C_full_covt +[Dataset] cur_step=6375 phase=C_full_covt[Dataset] cur_step=6375 phase=C_full_covt + +[Dataset] cur_step=6375 phase=C_full_covt 71%|█████████████████████▎ | 6375/9000 [5:07:27<3:00:55, 4.14s/it] +[Dataset] cur_step=6375 phase=C_full_covt + {'loss': '3.003', 'grad_norm': '4.689', 'learning_rate': '1.075e-05', 'epoch': '0.2293'} + 71%|█████████████████████▎ | 6375/9000 [5:07:27<3:00:55, 4.14s/it] {'lm_loss': '0.8273', 'visual_loss': '2.713', 'seg_loss': '0.717', 'dino_loss': '0.8773', 'depth_loss': '0.3745', 'vggt_mse_loss': '0.3725', 'vggt_cos_loss': '0.02047', 'pidinet_loss': '0.1963', 'siglip_loss': '0.5482', 'epoch': '0.2293'} + 71%|█████████████████████▎ | 6375/9000 [5:07:30<3:00:55, 4.14s/it][Dataset] cur_step=6376 phase=C_full_covt +[Dataset] cur_step=6376 phase=C_full_covt +[Dataset] cur_step=6376 phase=C_full_covt[Dataset] cur_step=6376 phase=C_full_covt + +[Dataset] cur_step=6376 phase=C_full_covt[Dataset] cur_step=6376 phase=C_full_covt[Dataset] cur_step=6376 phase=C_full_covt + + + 71%|█████████████████████▎ | 6376/9000 [5:07:31<3:00:10, 4.12s/it][Dataset] cur_step=6376 phase=C_full_covt + {'loss': '3.031', 'grad_norm': '1.694', 'learning_rate': '1.075e-05', 'epoch': '0.2294'} + 71%|█████████████████████▎ | 6376/9000 [5:07:31<3:00:10, 4.12s/it] {'lm_loss': '0.53', 'visual_loss': '2.708', 'seg_loss': '0.6784', 'dino_loss': '0.9165', 'depth_loss': '0.259', 'vggt_mse_loss': '0.2572', 'vggt_cos_loss': '0.01777', 'pidinet_loss': '0.2732', 'siglip_loss': '0.5813', 'epoch': '0.2294'} + 71%|█████████████████████▎ | 6376/9000 [5:07:34<3:00:10, 4.12s/it][Dataset] cur_step=6377 phase=C_full_covt +[Dataset] cur_step=6377 phase=C_full_covt[Dataset] cur_step=6377 phase=C_full_covt + +[Dataset] cur_step=6377 phase=C_full_covt[Dataset] cur_step=6377 phase=C_full_covt[Dataset] cur_step=6377 phase=C_full_covt + + +[Dataset] cur_step=6377 phase=C_full_covt + 71%|█████████████████████▎ | 6377/9000 [5:07:35<2:59:44, 4.11s/it][Dataset] cur_step=6377 phase=C_full_covt + {'loss': '3.169', 'grad_norm': '8.636', 'learning_rate': '1.074e-05', 'epoch': '0.2294'} + 71%|█████████████████████▎ | 6377/9000 [5:07:35<2:59:44, 4.11s/it] {'lm_loss': '0.5863', 'visual_loss': '2.736', 'seg_loss': '0.8175', 'dino_loss': '0.921', 'depth_loss': '0.2582', 'vggt_mse_loss': '0.2561', 'vggt_cos_loss': '0.02042', 'pidinet_loss': '0.2331', 'siglip_loss': '0.5059', 'epoch': '0.2294'} + 71%|█████████████████████▎ | 6377/9000 [5:07:38<2:59:44, 4.11s/it][Dataset] cur_step=6378 phase=C_full_covt +[Dataset] cur_step=6378 phase=C_full_covt +[Dataset] cur_step=6378 phase=C_full_covt +[Dataset] cur_step=6378 phase=C_full_covt[Dataset] cur_step=6378 phase=C_full_covt + + 71%|█████████████████████▎ | 6378/9000 [5:07:39<3:01:34, 4.15s/it][Dataset] cur_step=6378 phase=C_full_covt +[Dataset] cur_step=6378 phase=C_full_covt +[Dataset] cur_step=6378 phase=C_full_covt + {'loss': '3.198', 'grad_norm': '8.055', 'learning_rate': '1.073e-05', 'epoch': '0.2294'} + 71%|█████████████████████▎ | 6378/9000 [5:07:39<3:01:34, 4.15s/it] {'lm_loss': '0.8047', 'visual_loss': '2.688', 'seg_loss': '0.6711', 'dino_loss': '0.8731', 'depth_loss': '0.1835', 'vggt_mse_loss': '0.1822', 'vggt_cos_loss': '0.01279', 'pidinet_loss': '0.2424', 'siglip_loss': '0.7181', 'epoch': '0.2294'} + 71%|█████████████████████▎ | 6378/9000 [5:07:43<3:01:34, 4.15s/it][Dataset] cur_step=6379 phase=C_full_covt +[Dataset] cur_step=6379 phase=C_full_covt + 71%|█████████████████████▎ | 6379/9000 [5:07:43<3:01:35, 4.16s/it][Dataset] cur_step=6379 phase=C_full_covt +[Dataset] cur_step=6379 phase=C_full_covt +[Dataset] cur_step=6379 phase=C_full_covt +[Dataset] cur_step=6379 phase=C_full_covt +[Dataset] cur_step=6379 phase=C_full_covt[Dataset] cur_step=6379 phase=C_full_covt + + {'loss': '2.969', 'grad_norm': '1.403', 'learning_rate': '1.072e-05', 'epoch': '0.2295'} + 71%|█████████████████████▎ | 6379/9000 [5:07:43<3:01:35, 4.16s/it] {'lm_loss': '0.4368', 'visual_loss': '2.521', 'seg_loss': '0.6496', 'dino_loss': '0.9065', 'depth_loss': '0.2282', 'vggt_mse_loss': '0.2266', 'vggt_cos_loss': '0.01664', 'pidinet_loss': '0.2321', 'siglip_loss': '0.505', 'epoch': '0.2295'} + 71%|█████████████████████▎ | 6379/9000 [5:07:47<3:01:35, 4.16s/it][Dataset] cur_step=6380 phase=C_full_covt[Dataset] cur_step=6380 phase=C_full_covt + + 71%|█████████████████████▎ | 6380/9000 [5:07:47<2:59:24, 4.11s/it][Dataset] cur_step=6380 phase=C_full_covt +[Dataset] cur_step=6380 phase=C_full_covt +[Dataset] cur_step=6380 phase=C_full_covt +[Dataset] cur_step=6380 phase=C_full_covt +[Dataset] cur_step=6380 phase=C_full_covt +[Dataset] cur_step=6380 phase=C_full_covt + {'loss': '2.986', 'grad_norm': '2.388', 'learning_rate': '1.072e-05', 'epoch': '0.2295'} + 71%|█████████████████████▎ | 6380/9000 [5:07:47<2:59:24, 4.11s/it] {'lm_loss': '0.4385', 'visual_loss': '2.736', 'seg_loss': '0.6787', 'dino_loss': '0.8981', 'depth_loss': '0.2265', 'vggt_mse_loss': '0.2249', 'vggt_cos_loss': '0.01607', 'pidinet_loss': '0.2509', 'siglip_loss': '0.6813', 'epoch': '0.2295'} + 71%|█████████████████████▎ | 6380/9000 [5:07:51<2:59:24, 4.11s/it][Dataset] cur_step=6381 phase=C_full_covt +[Dataset] cur_step=6381 phase=C_full_covt[Dataset] cur_step=6381 phase=C_full_covt + +[Dataset] cur_step=6381 phase=C_full_covt + 71%|█████████████████████▎ | 6381/9000 [5:07:51<2:57:38, 4.07s/it][Dataset] cur_step=6381 phase=C_full_covt +[Dataset] cur_step=6381 phase=C_full_covt +[Dataset] cur_step=6381 phase=C_full_covt +[Dataset] cur_step=6381 phase=C_full_covt + {'loss': '3.05', 'grad_norm': '24.52', 'learning_rate': '1.071e-05', 'epoch': '0.2296'} + 71%|█████████████████████▎ | 6381/9000 [5:07:51<2:57:38, 4.07s/it] {'lm_loss': '0.9489', 'visual_loss': '2.521', 'seg_loss': '0.6886', 'dino_loss': '0.8866', 'depth_loss': '0.2284', 'vggt_mse_loss': '0.2269', 'vggt_cos_loss': '0.01511', 'pidinet_loss': '0.1759', 'siglip_loss': '0.5417', 'epoch': '0.2296'} + 71%|█████████████████████▎ | 6381/9000 [5:07:55<2:57:38, 4.07s/it][Dataset] cur_step=6382 phase=C_full_covt +[Dataset] cur_step=6382 phase=C_full_covt +[Dataset] cur_step=6382 phase=C_full_covt + 71%|█████████████████████▎ | 6382/9000 [5:07:55<2:55:13, 4.02s/it][Dataset] cur_step=6382 phase=C_full_covt +[Dataset] cur_step=6382 phase=C_full_covt +[Dataset] cur_step=6382 phase=C_full_covt +[Dataset] cur_step=6382 phase=C_full_covt +[Dataset] cur_step=6382 phase=C_full_covt + {'loss': '3.304', 'grad_norm': '1.699', 'learning_rate': '1.07e-05', 'epoch': '0.2296'} + 71%|█████████████████████▎ | 6382/9000 [5:07:55<2:55:13, 4.02s/it] {'lm_loss': '0.00959', 'visual_loss': '2.733', 'seg_loss': '0.7505', 'dino_loss': '0.9011', 'depth_loss': '0.2256', 'vggt_mse_loss': '0.224', 'vggt_cos_loss': '0.01645', 'pidinet_loss': '0.2184', 'siglip_loss': '0.6378', 'epoch': '0.2296'} + 71%|█████████████████████▎ | 6382/9000 [5:07:58<2:55:13, 4.02s/it][Dataset] cur_step=6383 phase=C_full_covt +[Dataset] cur_step=6383 phase=C_full_covt +[Dataset] cur_step=6383 phase=C_full_covt + 71%|█████████████████████▎ | 6383/9000 [5:07:59<2:51:48, 3.94s/it][Dataset] cur_step=6383 phase=C_full_covt +[Dataset] cur_step=6383 phase=C_full_covt +[Dataset] cur_step=6383 phase=C_full_covt +[Dataset] cur_step=6383 phase=C_full_covt[Dataset] cur_step=6383 phase=C_full_covt + + {'loss': '2.906', 'grad_norm': '1.533', 'learning_rate': '1.069e-05', 'epoch': '0.2296'} + 71%|█████████████████████▎ | 6383/9000 [5:07:59<2:51:48, 3.94s/it] {'lm_loss': '0.6103', 'visual_loss': '2.972', 'seg_loss': '0.8192', 'dino_loss': '0.8972', 'depth_loss': '0.1891', 'vggt_mse_loss': '0.1875', 'vggt_cos_loss': '0.01519', 'pidinet_loss': '0.2803', 'siglip_loss': '0.7866', 'epoch': '0.2296'} + 71%|█████████████████████▎ | 6383/9000 [5:08:02<2:51:48, 3.94s/it][Dataset] cur_step=6384 phase=C_full_covt +[Dataset] cur_step=6384 phase=C_full_covt[Dataset] cur_step=6384 phase=C_full_covt + +[Dataset] cur_step=6384 phase=C_full_covt[Dataset] cur_step=6384 phase=C_full_covt[Dataset] cur_step=6384 phase=C_full_covt + + +[Dataset] cur_step=6384 phase=C_full_covt[Dataset] cur_step=6384 phase=C_full_covt + + 71%|█████████████████████▎ | 6384/9000 [5:08:03<2:56:30, 4.05s/it] {'loss': '3.103', 'grad_norm': '1.98', 'learning_rate': '1.069e-05', 'epoch': '0.2297'} + 71%|█████████████████████▎ | 6384/9000 [5:08:03<2:56:30, 4.05s/it] {'lm_loss': '0.3206', 'visual_loss': '2.404', 'seg_loss': '0.5639', 'dino_loss': '0.8982', 'depth_loss': '0.1768', 'vggt_mse_loss': '0.1755', 'vggt_cos_loss': '0.01339', 'pidinet_loss': '0.2286', 'siglip_loss': '0.5367', 'epoch': '0.2297'} + 71%|█████████████████████▎ | 6384/9000 [5:08:06<2:56:30, 4.05s/it][Dataset] cur_step=6385 phase=C_full_covt +[Dataset] cur_step=6385 phase=C_full_covt +[Dataset] cur_step=6385 phase=C_full_covt +[Dataset] cur_step=6385 phase=C_full_covt + 71%|█████████████████████▎ | 6385/9000 [5:08:07<2:53:58, 3.99s/it][Dataset] cur_step=6385 phase=C_full_covt[Dataset] cur_step=6385 phase=C_full_covt[Dataset] cur_step=6385 phase=C_full_covt + + +[Dataset] cur_step=6385 phase=C_full_covt + {'loss': '3.282', 'grad_norm': '1.603', 'learning_rate': '1.068e-05', 'epoch': '0.2297'} + 71%|█████████████████████▎ | 6385/9000 [5:08:07<2:53:58, 3.99s/it] {'lm_loss': '0.7029', 'visual_loss': '2.833', 'seg_loss': '0.7827', 'dino_loss': '0.9074', 'depth_loss': '0.2628', 'vggt_mse_loss': '0.2605', 'vggt_cos_loss': '0.02259', 'pidinet_loss': '0.2527', 'siglip_loss': '0.6273', 'epoch': '0.2297'} + 71%|█████████████████████▎ | 6385/9000 [5:08:10<2:53:58, 3.99s/it][Dataset] cur_step=6386 phase=C_full_covt +[Dataset] cur_step=6386 phase=C_full_covt +[Dataset] cur_step=6386 phase=C_full_covt[Dataset] cur_step=6386 phase=C_full_covt[Dataset] cur_step=6386 phase=C_full_covt + + + 71%|█████████████████████▎ | 6386/9000 [5:08:11<2:51:36, 3.94s/it][Dataset] cur_step=6386 phase=C_full_covt +[Dataset] cur_step=6386 phase=C_full_covt[Dataset] cur_step=6386 phase=C_full_covt + + {'loss': '3.15', 'grad_norm': '3.257', 'learning_rate': '1.067e-05', 'epoch': '0.2297'} + 71%|█████████████████████▎ | 6386/9000 [5:08:11<2:51:36, 3.94s/it] {'lm_loss': '0.5487', 'visual_loss': '2.642', 'seg_loss': '0.7165', 'dino_loss': '0.9154', 'depth_loss': '0.3069', 'vggt_mse_loss': '0.3042', 'vggt_cos_loss': '0.0267', 'pidinet_loss': '0.2061', 'siglip_loss': '0.4972', 'epoch': '0.2297'} + 71%|█████████████████████▎ | 6386/9000 [5:08:15<2:51:36, 3.94s/it][Dataset] cur_step=6387 phase=C_full_covt +[Dataset] cur_step=6387 phase=C_full_covt + 71%|█████████████████████▎ | 6387/9000 [5:08:15<2:51:19, 3.93s/it][Dataset] cur_step=6387 phase=C_full_covt +[Dataset] cur_step=6387 phase=C_full_covt +[Dataset] cur_step=6387 phase=C_full_covt +[Dataset] cur_step=6387 phase=C_full_covt +[Dataset] cur_step=6387 phase=C_full_covt +[Dataset] cur_step=6387 phase=C_full_covt + {'loss': '3.009', 'grad_norm': '6.804', 'learning_rate': '1.066e-05', 'epoch': '0.2298'} + 71%|█████████████████████▎ | 6387/9000 [5:08:15<2:51:19, 3.93s/it] {'lm_loss': '0.4494', 'visual_loss': '2.789', 'seg_loss': '0.6957', 'dino_loss': '0.9059', 'depth_loss': '0.3206', 'vggt_mse_loss': '0.3184', 'vggt_cos_loss': '0.02255', 'pidinet_loss': '0.3118', 'siglip_loss': '0.5546', 'epoch': '0.2298'} + 71%|█████████████████████▎ | 6387/9000 [5:08:19<2:51:19, 3.93s/it][Dataset] cur_step=6388 phase=C_full_covt +[Dataset] cur_step=6388 phase=C_full_covt 71%|█████████████████████▎ | 6388/9000 [5:08:19<2:52:08, 3.95s/it] +[Dataset] cur_step=6388 phase=C_full_covt +[Dataset] cur_step=6388 phase=C_full_covt[Dataset] cur_step=6388 phase=C_full_covt + +[Dataset] cur_step=6388 phase=C_full_covt +[Dataset] cur_step=6388 phase=C_full_covt +[Dataset] cur_step=6388 phase=C_full_covt + {'loss': '3.199', 'grad_norm': '2.048', 'learning_rate': '1.066e-05', 'epoch': '0.2298'} + 71%|█████████████████████▎ | 6388/9000 [5:08:19<2:52:08, 3.95s/it] {'lm_loss': '0.3025', 'visual_loss': '2.641', 'seg_loss': '0.7545', 'dino_loss': '0.9283', 'depth_loss': '0.2692', 'vggt_mse_loss': '0.2675', 'vggt_cos_loss': '0.01667', 'pidinet_loss': '0.1883', 'siglip_loss': '0.501', 'epoch': '0.2298'} + 71%|█████████████████████▎ | 6388/9000 [5:08:22<2:52:08, 3.95s/it][Dataset] cur_step=6389 phase=C_full_covt +[Dataset] cur_step=6389 phase=C_full_covt +[Dataset] cur_step=6389 phase=C_full_covt + 71%|█████████████████████▎ | 6389/9000 [5:08:23<2:49:35, 3.90s/it][Dataset] cur_step=6389 phase=C_full_covt +[Dataset] cur_step=6389 phase=C_full_covt +[Dataset] cur_step=6389 phase=C_full_covt +[Dataset] cur_step=6389 phase=C_full_covt +[Dataset] cur_step=6389 phase=C_full_covt + {'loss': '2.934', 'grad_norm': '2.029', 'learning_rate': '1.065e-05', 'epoch': '0.2298'} + 71%|█████████████████████▎ | 6389/9000 [5:08:23<2:49:35, 3.90s/it] {'lm_loss': '0.5547', 'visual_loss': '2.771', 'seg_loss': '0.7763', 'dino_loss': '0.9277', 'depth_loss': '0.2532', 'vggt_mse_loss': '0.2512', 'vggt_cos_loss': '0.02077', 'pidinet_loss': '0.2529', 'siglip_loss': '0.5606', 'epoch': '0.2298'} + 71%|█████████████████████▎ | 6389/9000 [5:08:26<2:49:35, 3.90s/it][Dataset] cur_step=6390 phase=C_full_covt + 71%|█████████████████████▎ | 6390/9000 [5:08:27<2:53:14, 3.98s/it][Dataset] cur_step=6390 phase=C_full_covt +[Dataset] cur_step=6390 phase=C_full_covt +[Dataset] cur_step=6390 phase=C_full_covt +[Dataset] cur_step=6390 phase=C_full_covt +[Dataset] cur_step=6390 phase=C_full_covt +[Dataset] cur_step=6390 phase=C_full_covt +[Dataset] cur_step=6390 phase=C_full_covt + {'loss': '3.111', 'grad_norm': '2.97', 'learning_rate': '1.064e-05', 'epoch': '0.2299'} + 71%|█████████████████████▎ | 6390/9000 [5:08:27<2:53:14, 3.98s/it] {'lm_loss': '0.02638', 'visual_loss': '2.651', 'seg_loss': '0.699', 'dino_loss': '0.9025', 'depth_loss': '0.2091', 'vggt_mse_loss': '0.2076', 'vggt_cos_loss': '0.01515', 'pidinet_loss': '0.2705', 'siglip_loss': '0.5698', 'epoch': '0.2299'} + 71%|█████████████████████▎ | 6390/9000 [5:08:31<2:53:14, 3.98s/it][Dataset] cur_step=6391 phase=C_full_covt + 71%|█████████████████████▎ | 6391/9000 [5:08:31<2:53:29, 3.99s/it][Dataset] cur_step=6391 phase=C_full_covt +[Dataset] cur_step=6391 phase=C_full_covt +[Dataset] cur_step=6391 phase=C_full_covt +[Dataset] cur_step=6391 phase=C_full_covt +[Dataset] cur_step=6391 phase=C_full_covt[Dataset] cur_step=6391 phase=C_full_covt + +[Dataset] cur_step=6391 phase=C_full_covt + {'loss': '3.139', 'grad_norm': '3.909', 'learning_rate': '1.063e-05', 'epoch': '0.2299'} + 71%|█████████████████████▎ | 6391/9000 [5:08:31<2:53:29, 3.99s/it] {'lm_loss': '0.8917', 'visual_loss': '2.692', 'seg_loss': '0.7072', 'dino_loss': '0.9305', 'depth_loss': '0.2669', 'vggt_mse_loss': '0.265', 'vggt_cos_loss': '0.01911', 'pidinet_loss': '0.2398', 'siglip_loss': '0.5473', 'epoch': '0.2299'} + 71%|█████████████████████▎ | 6391/9000 [5:08:34<2:53:29, 3.99s/it][Dataset] cur_step=6392 phase=C_full_covt +[Dataset] cur_step=6392 phase=C_full_covt +[Dataset] cur_step=6392 phase=C_full_covt +[Dataset] cur_step=6392 phase=C_full_covt +[Dataset] cur_step=6392 phase=C_full_covt +[Dataset] cur_step=6392 phase=C_full_covt + 71%|█████████████████████▎ | 6392/9000 [5:08:35<2:54:08, 4.01s/it][Dataset] cur_step=6392 phase=C_full_covt +[Dataset] cur_step=6392 phase=C_full_covt + {'loss': '3.205', 'grad_norm': '1.792', 'learning_rate': '1.063e-05', 'epoch': '0.23'} + 71%|█████████████████████▎ | 6392/9000 [5:08:35<2:54:08, 4.01s/it] {'lm_loss': '0.3013', 'visual_loss': '2.668', 'seg_loss': '0.8438', 'dino_loss': '0.9052', 'depth_loss': '0.2498', 'vggt_mse_loss': '0.2482', 'vggt_cos_loss': '0.01672', 'pidinet_loss': '0.2481', 'siglip_loss': '0.4212', 'epoch': '0.23'} + 71%|█████████████████████▎ | 6392/9000 [5:08:38<2:54:08, 4.01s/it][Dataset] cur_step=6393 phase=C_full_covt + 71%|█████████████████████▎ | 6393/9000 [5:08:39<2:49:38, 3.90s/it][Dataset] cur_step=6393 phase=C_full_covt +[Dataset] cur_step=6393 phase=C_full_covt +[Dataset] cur_step=6393 phase=C_full_covt +[Dataset] cur_step=6393 phase=C_full_covt +[Dataset] cur_step=6393 phase=C_full_covt +[Dataset] cur_step=6393 phase=C_full_covt +[Dataset] cur_step=6393 phase=C_full_covt + {'loss': '3.284', 'grad_norm': '8.805', 'learning_rate': '1.062e-05', 'epoch': '0.23'} + 71%|█████████████████████▎ | 6393/9000 [5:08:39<2:49:38, 3.90s/it] {'lm_loss': '0.8667', 'visual_loss': '2.709', 'seg_loss': '0.7066', 'dino_loss': '0.9335', 'depth_loss': '0.2796', 'vggt_mse_loss': '0.2776', 'vggt_cos_loss': '0.02009', 'pidinet_loss': '0.2195', 'siglip_loss': '0.5699', 'epoch': '0.23'} + 71%|█████████████████████▎ | 6393/9000 [5:08:42<2:49:38, 3.90s/it][Dataset] cur_step=6394 phase=C_full_covt[Dataset] cur_step=6394 phase=C_full_covt + +[Dataset] cur_step=6394 phase=C_full_covt +[Dataset] cur_step=6394 phase=C_full_covt[Dataset] cur_step=6394 phase=C_full_covt +[Dataset] cur_step=6394 phase=C_full_covt + +[Dataset] cur_step=6394 phase=C_full_covt +[Dataset] cur_step=6394 phase=C_full_covt + 71%|█████████████████████▎ | 6394/9000 [5:08:43<2:53:22, 3.99s/it] {'loss': '3.234', 'grad_norm': '2.491', 'learning_rate': '1.061e-05', 'epoch': '0.23'} + 71%|█████████████████████▎ | 6394/9000 [5:08:43<2:53:22, 3.99s/it] {'lm_loss': '0.9413', 'visual_loss': '2.672', 'seg_loss': '0.6491', 'dino_loss': '0.9423', 'depth_loss': '0.2998', 'vggt_mse_loss': '0.2976', 'vggt_cos_loss': '0.02138', 'pidinet_loss': '0.2775', 'siglip_loss': '0.5031', 'epoch': '0.23'} + 71%|█████████████████████▎ | 6394/9000 [5:08:46<2:53:22, 3.99s/it][Dataset] cur_step=6395 phase=C_full_covt + 71%|█████████████████████▎ | 6395/9000 [5:08:47<2:53:15, 3.99s/it][Dataset] cur_step=6395 phase=C_full_covt[Dataset] cur_step=6395 phase=C_full_covt + +[Dataset] cur_step=6395 phase=C_full_covt[Dataset] cur_step=6395 phase=C_full_covt[Dataset] cur_step=6395 phase=C_full_covt + + +[Dataset] cur_step=6395 phase=C_full_covt +[Dataset] cur_step=6395 phase=C_full_covt + {'loss': '3.178', 'grad_norm': '3.213', 'learning_rate': '1.06e-05', 'epoch': '0.2301'} + 71%|█████████████████████▎ | 6395/9000 [5:08:47<2:53:15, 3.99s/it] {'lm_loss': '0.5642', 'visual_loss': '2.696', 'seg_loss': '0.6598', 'dino_loss': '0.9185', 'depth_loss': '0.2385', 'vggt_mse_loss': '0.2366', 'vggt_cos_loss': '0.0186', 'pidinet_loss': '0.2368', 'siglip_loss': '0.6425', 'epoch': '0.2301'} + 71%|█████████████████████▎ | 6395/9000 [5:08:50<2:53:15, 3.99s/it][Dataset] cur_step=6396 phase=C_full_covt[Dataset] cur_step=6396 phase=C_full_covt +[Dataset] cur_step=6396 phase=C_full_covt + +[Dataset] cur_step=6396 phase=C_full_covt + 71%|█████████████████████▎ | 6396/9000 [5:08:51<2:51:55, 3.96s/it][Dataset] cur_step=6396 phase=C_full_covt +[Dataset] cur_step=6396 phase=C_full_covt +[Dataset] cur_step=6396 phase=C_full_covt +[Dataset] cur_step=6396 phase=C_full_covt + {'loss': '2.991', 'grad_norm': '8.777', 'learning_rate': '1.06e-05', 'epoch': '0.2301'} + 71%|█████████████████████▎ | 6396/9000 [5:08:51<2:51:55, 3.96s/it] {'lm_loss': '0.3421', 'visual_loss': '2.639', 'seg_loss': '0.7533', 'dino_loss': '0.9059', 'depth_loss': '0.2615', 'vggt_mse_loss': '0.2597', 'vggt_cos_loss': '0.01767', 'pidinet_loss': '0.2203', 'siglip_loss': '0.4981', 'epoch': '0.2301'} + 71%|█████████████████████▎ | 6396/9000 [5:08:54<2:51:55, 3.96s/it][Dataset] cur_step=6397 phase=C_full_covt +[Dataset] cur_step=6397 phase=C_full_covt +[Dataset] cur_step=6397 phase=C_full_covt +[Dataset] cur_step=6397 phase=C_full_covt +[Dataset] cur_step=6397 phase=C_full_covt +[Dataset] cur_step=6397 phase=C_full_covt + 71%|█████████████████████▎ | 6397/9000 [5:08:55<2:51:57, 3.96s/it][Dataset] cur_step=6397 phase=C_full_covt +[Dataset] cur_step=6397 phase=C_full_covt + {'loss': '2.953', 'grad_norm': '4.821', 'learning_rate': '1.059e-05', 'epoch': '0.2301'} + 71%|█████████████████████▎ | 6397/9000 [5:08:55<2:51:57, 3.96s/it] {'lm_loss': '0.2109', 'visual_loss': '2.681', 'seg_loss': '0.6194', 'dino_loss': '0.8666', 'depth_loss': '0.266', 'vggt_mse_loss': '0.2643', 'vggt_cos_loss': '0.01709', 'pidinet_loss': '0.2669', 'siglip_loss': '0.6625', 'epoch': '0.2301'} + 71%|█████████████████████▎ | 6397/9000 [5:08:58<2:51:57, 3.96s/it][Dataset] cur_step=6398 phase=C_full_covt +[Dataset] cur_step=6398 phase=C_full_covt[Dataset] cur_step=6398 phase=C_full_covt + + 71%|█████████████████████▎ | 6398/9000 [5:08:59<2:52:33, 3.98s/it][Dataset] cur_step=6398 phase=C_full_covt +[Dataset] cur_step=6398 phase=C_full_covt +[Dataset] cur_step=6398 phase=C_full_covt +[Dataset] cur_step=6398 phase=C_full_covt +[Dataset] cur_step=6398 phase=C_full_covt + {'loss': '2.993', 'grad_norm': '1.92', 'learning_rate': '1.058e-05', 'epoch': '0.2302'} + 71%|█████████████████████▎ | 6398/9000 [5:08:59<2:52:33, 3.98s/it] {'lm_loss': '0.5141', 'visual_loss': '2.633', 'seg_loss': '0.7067', 'dino_loss': '0.9152', 'depth_loss': '0.3118', 'vggt_mse_loss': '0.3093', 'vggt_cos_loss': '0.02473', 'pidinet_loss': '0.2332', 'siglip_loss': '0.466', 'epoch': '0.2302'} + 71%|█████████████████████▎ | 6398/9000 [5:09:02<2:52:33, 3.98s/it][Dataset] cur_step=6399 phase=C_full_covt +[Dataset] cur_step=6399 phase=C_full_covt +[Dataset] cur_step=6399 phase=C_full_covt +[Dataset] cur_step=6399 phase=C_full_covt +[Dataset] cur_step=6399 phase=C_full_covt +[Dataset] cur_step=6399 phase=C_full_covt +[Dataset] cur_step=6399 phase=C_full_covt + 71%|█████████████████████▎ | 6399/9000 [5:09:02<2:48:56, 3.90s/it][Dataset] cur_step=6399 phase=C_full_covt + {'loss': '3.165', 'grad_norm': '1.98', 'learning_rate': '1.057e-05', 'epoch': '0.2302'} + 71%|█████████████████████▎ | 6399/9000 [5:09:02<2:48:56, 3.90s/it] {'lm_loss': '0.8643', 'visual_loss': '2.688', 'seg_loss': '0.6165', 'dino_loss': '0.8783', 'depth_loss': '0.227', 'vggt_mse_loss': '0.2255', 'vggt_cos_loss': '0.0154', 'pidinet_loss': '0.2657', 'siglip_loss': '0.7006', 'epoch': '0.2302'} + 71%|█████████████████████▎ | 6399/9000 [5:09:06<2:48:56, 3.90s/it][Dataset] cur_step=6400 phase=C_full_covt +[Dataset] cur_step=6400 phase=C_full_covt + 71%|█████████████████████▎ | 6400/9000 [5:09:06<2:48:54, 3.90s/it][Dataset] cur_step=6400 phase=C_full_covt +[Dataset] cur_step=6400 phase=C_full_covt +[Dataset] cur_step=6400 phase=C_full_covt +[Dataset] cur_step=6400 phase=C_full_covt +[Dataset] cur_step=6400 phase=C_full_covt +[Dataset] cur_step=6400 phase=C_full_covt + {'loss': '3.194', 'grad_norm': '2.478', 'learning_rate': '1.057e-05', 'epoch': '0.2302'} + 71%|█████████████████████▎ | 6400/9000 [5:09:06<2:48:54, 3.90s/it] {'lm_loss': '0.5301', 'visual_loss': '2.986', 'seg_loss': '0.7705', 'dino_loss': '0.8971', 'depth_loss': '0.276', 'vggt_mse_loss': '0.2738', 'vggt_cos_loss': '0.02179', 'pidinet_loss': '0.208', 'siglip_loss': '0.8345', 'epoch': '0.2302'} + 71%|█████████████████████▎ | 6400/9000 [5:09:09<2:48:54, 3.90s/it][Dataset] cur_step=6401 phase=C_full_covt +[Dataset] cur_step=6401 phase=C_full_covt +[Dataset] cur_step=6401 phase=C_full_covt +[Dataset] cur_step=6401 phase=C_full_covt +[Dataset] cur_step=6401 phase=C_full_covt +[Dataset] cur_step=6401 phase=C_full_covt[Dataset] cur_step=6401 phase=C_full_covt + + 71%|█████████████████████▎ | 6401/9000 [5:09:10<2:48:24, 3.89s/it][Dataset] cur_step=6401 phase=C_full_covt + {'loss': '3.069', 'grad_norm': '3.14', 'learning_rate': '1.056e-05', 'epoch': '0.2303'} + 71%|█████████████████████▎ | 6401/9000 [5:09:10<2:48:24, 3.89s/it] {'lm_loss': '0.5617', 'visual_loss': '2.587', 'seg_loss': '0.759', 'dino_loss': '0.9172', 'depth_loss': '0.2063', 'vggt_mse_loss': '0.2048', 'vggt_cos_loss': '0.01494', 'pidinet_loss': '0.2116', 'siglip_loss': '0.4931', 'epoch': '0.2303'} + 71%|█████████████████████▎ | 6401/9000 [5:09:13<2:48:24, 3.89s/it][Dataset] cur_step=6402 phase=C_full_covt +[Dataset] cur_step=6402 phase=C_full_covt +[Dataset] cur_step=6402 phase=C_full_covt + 71%|█████████████████████▎ | 6402/9000 [5:09:14<2:47:46, 3.87s/it][Dataset] cur_step=6402 phase=C_full_covt[Dataset] cur_step=6402 phase=C_full_covt + +[Dataset] cur_step=6402 phase=C_full_covt +[Dataset] cur_step=6402 phase=C_full_covt +[Dataset] cur_step=6402 phase=C_full_covt + {'loss': '3.116', 'grad_norm': '2.344', 'learning_rate': '1.055e-05', 'epoch': '0.2303'} + 71%|█████████████████████▎ | 6402/9000 [5:09:14<2:47:46, 3.87s/it] {'lm_loss': '0.487', 'visual_loss': '2.783', 'seg_loss': '0.7956', 'dino_loss': '0.9171', 'depth_loss': '0.3441', 'vggt_mse_loss': '0.3407', 'vggt_cos_loss': '0.03435', 'pidinet_loss': '0.2716', 'siglip_loss': '0.455', 'epoch': '0.2303'} + 71%|█████████████████████▎ | 6402/9000 [5:09:20<2:47:46, 3.87s/it][Dataset] cur_step=6403 phase=C_full_covt +[Dataset] cur_step=6403 phase=C_full_covt + 71%|█████████████████████▎ | 6403/9000 [5:09:21<3:22:27, 4.68s/it][Dataset] cur_step=6403 phase=C_full_covt[Dataset] cur_step=6403 phase=C_full_covt + +[Dataset] cur_step=6403 phase=C_full_covt +[Dataset] cur_step=6403 phase=C_full_covt +[Dataset] cur_step=6403 phase=C_full_covt[Dataset] cur_step=6403 phase=C_full_covt + + {'loss': '3.084', 'grad_norm': '2.092', 'learning_rate': '1.054e-05', 'epoch': '0.2303'} + 71%|█████████████████████▎ | 6403/9000 [5:09:21<3:22:27, 4.68s/it] {'lm_loss': '0.1214', 'visual_loss': '2.674', 'seg_loss': '0.6723', 'dino_loss': '0.9061', 'depth_loss': '0.1983', 'vggt_mse_loss': '0.1969', 'vggt_cos_loss': '0.01336', 'pidinet_loss': '0.1812', 'siglip_loss': '0.7164', 'epoch': '0.2303'} + 71%|█████████████████████▎ | 6403/9000 [5:09:24<3:22:27, 4.68s/it][Dataset] cur_step=6404 phase=C_full_covt +[Dataset] cur_step=6404 phase=C_full_covt +[Dataset] cur_step=6404 phase=C_full_covt +[Dataset] cur_step=6404 phase=C_full_covt +[Dataset] cur_step=6404 phase=C_full_covt +[Dataset] cur_step=6404 phase=C_full_covt +[Dataset] cur_step=6404 phase=C_full_covt +[Dataset] cur_step=6404 phase=C_full_covt + 71%|█████████████████████▎ | 6404/9000 [5:09:25<3:14:33, 4.50s/it] {'loss': '3.138', 'grad_norm': '2.291', 'learning_rate': '1.054e-05', 'epoch': '0.2304'} + 71%|█████████████████████▎ | 6404/9000 [5:09:25<3:14:33, 4.50s/it] {'lm_loss': '0.81', 'visual_loss': '2.708', 'seg_loss': '0.6514', 'dino_loss': '0.9352', 'depth_loss': '0.2515', 'vggt_mse_loss': '0.25', 'vggt_cos_loss': '0.01476', 'pidinet_loss': '0.2463', 'siglip_loss': '0.624', 'epoch': '0.2304'} + 71%|█████████████████████▎ | 6404/9000 [5:09:28<3:14:33, 4.50s/it][Dataset] cur_step=6405 phase=C_full_covt +[Dataset] cur_step=6405 phase=C_full_covt +[Dataset] cur_step=6405 phase=C_full_covt +[Dataset] cur_step=6405 phase=C_full_covt +[Dataset] cur_step=6405 phase=C_full_covt +[Dataset] cur_step=6405 phase=C_full_covt[Dataset] cur_step=6405 phase=C_full_covt + +[Dataset] cur_step=6405 phase=C_full_covt + 71%|█████████████████████▎ | 6405/9000 [5:09:29<3:10:16, 4.40s/it] {'loss': '3.199', 'grad_norm': '9.797', 'learning_rate': '1.053e-05', 'epoch': '0.2304'} + 71%|█████████████████████▎ | 6405/9000 [5:09:29<3:10:16, 4.40s/it] {'lm_loss': '0.3457', 'visual_loss': '2.631', 'seg_loss': '0.6165', 'dino_loss': '0.9032', 'depth_loss': '0.2892', 'vggt_mse_loss': '0.2874', 'vggt_cos_loss': '0.01819', 'pidinet_loss': '0.2129', 'siglip_loss': '0.6095', 'epoch': '0.2304'} + 71%|█████████████████████▎ | 6405/9000 [5:09:32<3:10:16, 4.40s/it][Dataset] cur_step=6406 phase=C_full_covt[Dataset] cur_step=6406 phase=C_full_covt + + 71%|█████████████████████▎ | 6406/9000 [5:09:33<3:05:15, 4.29s/it][Dataset] cur_step=6406 phase=C_full_covt +[Dataset] cur_step=6406 phase=C_full_covt +[Dataset] cur_step=6406 phase=C_full_covt +[Dataset] cur_step=6406 phase=C_full_covt +[Dataset] cur_step=6406 phase=C_full_covt +[Dataset] cur_step=6406 phase=C_full_covt + {'loss': '3.072', 'grad_norm': '2.391', 'learning_rate': '1.052e-05', 'epoch': '0.2305'} + 71%|█████████████████████▎ | 6406/9000 [5:09:33<3:05:15, 4.29s/it] {'lm_loss': '0.2927', 'visual_loss': '2.49', 'seg_loss': '0.7274', 'dino_loss': '0.8742', 'depth_loss': '0.2656', 'vggt_mse_loss': '0.2639', 'vggt_cos_loss': '0.01716', 'pidinet_loss': '0.2042', 'siglip_loss': '0.419', 'epoch': '0.2305'} + 71%|█████████████████████▎ | 6406/9000 [5:09:36<3:05:15, 4.29s/it][Dataset] cur_step=6407 phase=C_full_covt[Dataset] cur_step=6407 phase=C_full_covt + +[Dataset] cur_step=6407 phase=C_full_covt +[Dataset] cur_step=6407 phase=C_full_covt +[Dataset] cur_step=6407 phase=C_full_covt 71%|█████████████████████▎ | 6407/9000 [5:09:37<3:00:00, 4.17s/it] +[Dataset] cur_step=6407 phase=C_full_covt[Dataset] cur_step=6407 phase=C_full_covt + +[Dataset] cur_step=6407 phase=C_full_covt + {'loss': '3.108', 'grad_norm': '6.323', 'learning_rate': '1.051e-05', 'epoch': '0.2305'} + 71%|█████████████████████▎ | 6407/9000 [5:09:37<3:00:00, 4.17s/it] {'lm_loss': '0.349', 'visual_loss': '2.544', 'seg_loss': '0.6192', 'dino_loss': '0.9022', 'depth_loss': '0.2291', 'vggt_mse_loss': '0.2273', 'vggt_cos_loss': '0.01865', 'pidinet_loss': '0.2564', 'siglip_loss': '0.5367', 'epoch': '0.2305'} + 71%|█████████████████████▎ | 6407/9000 [5:09:40<3:00:00, 4.17s/it][Dataset] cur_step=6408 phase=C_full_covt +[Dataset] cur_step=6408 phase=C_full_covt +[Dataset] cur_step=6408 phase=C_full_covt +[Dataset] cur_step=6408 phase=C_full_covt +[Dataset] cur_step=6408 phase=C_full_covt +[Dataset] cur_step=6408 phase=C_full_covt +[Dataset] cur_step=6408 phase=C_full_covt +[Dataset] cur_step=6408 phase=C_full_covt + 71%|█████████████████████▎ | 6408/9000 [5:09:43<3:25:56, 4.77s/it] {'loss': '3.208', 'grad_norm': '2.334', 'learning_rate': '1.051e-05', 'epoch': '0.2305'} + 71%|█████████████████████▎ | 6408/9000 [5:09:43<3:25:56, 4.77s/it] {'lm_loss': '0.3182', 'visual_loss': '2.466', 'seg_loss': '0.6424', 'dino_loss': '0.9129', 'depth_loss': '0.232', 'vggt_mse_loss': '0.2304', 'vggt_cos_loss': '0.01605', 'pidinet_loss': '0.1795', 'siglip_loss': '0.4995', 'epoch': '0.2305'} + 71%|█████████████████████▎ | 6408/9000 [5:09:46<3:25:56, 4.77s/it][Dataset] cur_step=6409 phase=C_full_covt +[Dataset] cur_step=6409 phase=C_full_covt[Dataset] cur_step=6409 phase=C_full_covt + +[Dataset] cur_step=6409 phase=C_full_covt[Dataset] cur_step=6409 phase=C_full_covt + +[Dataset] cur_step=6409 phase=C_full_covt +[Dataset] cur_step=6409 phase=C_full_covt +[Dataset] cur_step=6409 phase=C_full_covt + 71%|█████████████████████▎ | 6409/9000 [5:09:47<3:16:50, 4.56s/it] {'loss': '3.16', 'grad_norm': '1.795', 'learning_rate': '1.05e-05', 'epoch': '0.2306'} + 71%|█████████████████████▎ | 6409/9000 [5:09:47<3:16:50, 4.56s/it] {'lm_loss': '0.3006', 'visual_loss': '2.982', 'seg_loss': '0.8324', 'dino_loss': '0.9312', 'depth_loss': '0.3955', 'vggt_mse_loss': '0.3927', 'vggt_cos_loss': '0.0279', 'pidinet_loss': '0.2481', 'siglip_loss': '0.5751', 'epoch': '0.2306'} + 71%|█████████████████████▎ | 6409/9000 [5:09:50<3:16:50, 4.56s/it][Dataset] cur_step=6410 phase=C_full_covt[Dataset] cur_step=6410 phase=C_full_covt + +[Dataset] cur_step=6410 phase=C_full_covt +[Dataset] cur_step=6410 phase=C_full_covt[Dataset] cur_step=6410 phase=C_full_covt +[Dataset] cur_step=6410 phase=C_full_covt + + 71%|█████████████████████▎ | 6410/9000 [5:09:51<3:08:08, 4.36s/it][Dataset] cur_step=6410 phase=C_full_covt +[Dataset] cur_step=6410 phase=C_full_covt + {'loss': '3.248', 'grad_norm': '1.963', 'learning_rate': '1.049e-05', 'epoch': '0.2306'} + 71%|█████████████████████▎ | 6410/9000 [5:09:51<3:08:08, 4.36s/it] {'lm_loss': '0.7803', 'visual_loss': '2.755', 'seg_loss': '0.787', 'dino_loss': '0.923', 'depth_loss': '0.2222', 'vggt_mse_loss': '0.2204', 'vggt_cos_loss': '0.01765', 'pidinet_loss': '0.2154', 'siglip_loss': '0.6074', 'epoch': '0.2306'} + 71%|█████████████████████▎ | 6410/9000 [5:09:54<3:08:08, 4.36s/it][Dataset] cur_step=6411 phase=C_full_covt +[Dataset] cur_step=6411 phase=C_full_covt +[Dataset] cur_step=6411 phase=C_full_covt +[Dataset] cur_step=6411 phase=C_full_covt +[Dataset] cur_step=6411 phase=C_full_covt[Dataset] cur_step=6411 phase=C_full_covt + +[Dataset] cur_step=6411 phase=C_full_covt 71%|█████████████████████▎ | 6411/9000 [5:09:55<3:05:33, 4.30s/it] +[Dataset] cur_step=6411 phase=C_full_covt + {'loss': '3.174', 'grad_norm': '2.127', 'learning_rate': '1.048e-05', 'epoch': '0.2306'} + 71%|█████████████████████▎ | 6411/9000 [5:09:55<3:05:33, 4.30s/it] {'lm_loss': '0.1416', 'visual_loss': '2.544', 'seg_loss': '0.7177', 'dino_loss': '0.9016', 'depth_loss': '0.2272', 'vggt_mse_loss': '0.2256', 'vggt_cos_loss': '0.01557', 'pidinet_loss': '0.2186', 'siglip_loss': '0.4791', 'epoch': '0.2306'} + 71%|█████████████████████▎ | 6411/9000 [5:09:59<3:05:33, 4.30s/it][Dataset] cur_step=6412 phase=C_full_covt +[Dataset] cur_step=6412 phase=C_full_covt[Dataset] cur_step=6412 phase=C_full_covt[Dataset] cur_step=6412 phase=C_full_covt + + + 71%|█████████████████████▎ | 6412/9000 [5:09:59<3:01:04, 4.20s/it][Dataset] cur_step=6412 phase=C_full_covt[Dataset] cur_step=6412 phase=C_full_covt + +[Dataset] cur_step=6412 phase=C_full_covt +[Dataset] cur_step=6412 phase=C_full_covt + {'loss': '3.146', 'grad_norm': '1.883', 'learning_rate': '1.048e-05', 'epoch': '0.2307'} + 71%|█████████████████████▎ | 6412/9000 [5:09:59<3:01:04, 4.20s/it] {'lm_loss': '0.3222', 'visual_loss': '2.802', 'seg_loss': '0.6758', 'dino_loss': '0.9366', 'depth_loss': '0.2628', 'vggt_mse_loss': '0.2609', 'vggt_cos_loss': '0.0183', 'pidinet_loss': '0.2188', 'siglip_loss': '0.7077', 'epoch': '0.2307'} + 71%|█████████████████████▎ | 6412/9000 [5:10:02<3:01:04, 4.20s/it][Dataset] cur_step=6413 phase=C_full_covt +[Dataset] cur_step=6413 phase=C_full_covt[Dataset] cur_step=6413 phase=C_full_covt + +[Dataset] cur_step=6413 phase=C_full_covt +[Dataset] cur_step=6413 phase=C_full_covt +[Dataset] cur_step=6413 phase=C_full_covt[Dataset] cur_step=6413 phase=C_full_covt + +[Dataset] cur_step=6413 phase=C_full_covt 71%|█████████████████████▍ | 6413/9000 [5:10:03<2:58:17, 4.14s/it] + {'loss': '3.067', 'grad_norm': '4.475', 'learning_rate': '1.047e-05', 'epoch': '0.2307'} + 71%|█████████████████████▍ | 6413/9000 [5:10:03<2:58:17, 4.14s/it] {'lm_loss': '0.2496', 'visual_loss': '2.679', 'seg_loss': '0.6705', 'dino_loss': '0.8933', 'depth_loss': '0.3127', 'vggt_mse_loss': '0.3107', 'vggt_cos_loss': '0.02015', 'pidinet_loss': '0.231', 'siglip_loss': '0.5712', 'epoch': '0.2307'} + 71%|█████████████████████▍ | 6413/9000 [5:10:06<2:58:17, 4.14s/it][Dataset] cur_step=6414 phase=C_full_covt[Dataset] cur_step=6414 phase=C_full_covt + +[Dataset] cur_step=6414 phase=C_full_covt[Dataset] cur_step=6414 phase=C_full_covt + +[Dataset] cur_step=6414 phase=C_full_covt +[Dataset] cur_step=6414 phase=C_full_covt +[Dataset] cur_step=6414 phase=C_full_covt[Dataset] cur_step=6414 phase=C_full_covt + + 71%|█████████████████████▍ | 6414/9000 [5:10:07<2:52:18, 4.00s/it] {'loss': '3.499', 'grad_norm': '2.586', 'learning_rate': '1.046e-05', 'epoch': '0.2307'} + 71%|█████████████████████▍ | 6414/9000 [5:10:07<2:52:18, 4.00s/it] {'lm_loss': '0.3041', 'visual_loss': '2.676', 'seg_loss': '0.7618', 'dino_loss': '0.9443', 'depth_loss': '0.2469', 'vggt_mse_loss': '0.2453', 'vggt_cos_loss': '0.01579', 'pidinet_loss': '0.2229', 'siglip_loss': '0.5004', 'epoch': '0.2307'} + 71%|█████████████████████▍ | 6414/9000 [5:10:09<2:52:18, 4.00s/it][Dataset] cur_step=6415 phase=C_full_covt +[Dataset] cur_step=6415 phase=C_full_covt +[Dataset] cur_step=6415 phase=C_full_covt[Dataset] cur_step=6415 phase=C_full_covt + +[Dataset] cur_step=6415 phase=C_full_covt[Dataset] cur_step=6415 phase=C_full_covt + +[Dataset] cur_step=6415 phase=C_full_covt + 71%|█████████████████████▍ | 6415/9000 [5:10:10<2:49:09, 3.93s/it][Dataset] cur_step=6415 phase=C_full_covt + {'loss': '3.324', 'grad_norm': '1.981', 'learning_rate': '1.045e-05', 'epoch': '0.2308'} + 71%|█████████████████████▍ | 6415/9000 [5:10:10<2:49:09, 3.93s/it] {'lm_loss': '0.6763', 'visual_loss': '2.747', 'seg_loss': '0.8091', 'dino_loss': '0.9135', 'depth_loss': '0.2105', 'vggt_mse_loss': '0.2089', 'vggt_cos_loss': '0.01629', 'pidinet_loss': '0.2765', 'siglip_loss': '0.5378', 'epoch': '0.2308'} + 71%|█████████████████████▍ | 6415/9000 [5:10:14<2:49:09, 3.93s/it][Dataset] cur_step=6416 phase=C_full_covt +[Dataset] cur_step=6416 phase=C_full_covt + 71%|█████████████████████▍ | 6416/9000 [5:10:14<2:51:00, 3.97s/it][Dataset] cur_step=6416 phase=C_full_covt +[Dataset] cur_step=6416 phase=C_full_covt +[Dataset] cur_step=6416 phase=C_full_covt +[Dataset] cur_step=6416 phase=C_full_covt +[Dataset] cur_step=6416 phase=C_full_covt +[Dataset] cur_step=6416 phase=C_full_covt + {'loss': '2.996', 'grad_norm': '1.871', 'learning_rate': '1.045e-05', 'epoch': '0.2308'} + 71%|█████████████████████▍ | 6416/9000 [5:10:14<2:51:00, 3.97s/it] {'lm_loss': '0.5772', 'visual_loss': '2.55', 'seg_loss': '0.7076', 'dino_loss': '0.9058', 'depth_loss': '0.2119', 'vggt_mse_loss': '0.2101', 'vggt_cos_loss': '0.01836', 'pidinet_loss': '0.1882', 'siglip_loss': '0.5366', 'epoch': '0.2308'} + 71%|█████████████████████▍ | 6416/9000 [5:10:18<2:51:00, 3.97s/it][Dataset] cur_step=6417 phase=C_full_covt[Dataset] cur_step=6417 phase=C_full_covt + + 71%|█████████████████████▍ | 6417/9000 [5:10:19<2:54:16, 4.05s/it][Dataset] cur_step=6417 phase=C_full_covt +[Dataset] cur_step=6417 phase=C_full_covt +[Dataset] cur_step=6417 phase=C_full_covt[Dataset] cur_step=6417 phase=C_full_covt + +[Dataset] cur_step=6417 phase=C_full_covt +[Dataset] cur_step=6417 phase=C_full_covt + {'loss': '3.044', 'grad_norm': '7.107', 'learning_rate': '1.044e-05', 'epoch': '0.2309'} + 71%|█████████████████████▍ | 6417/9000 [5:10:19<2:54:16, 4.05s/it] {'lm_loss': '1.03', 'visual_loss': '2.693', 'seg_loss': '0.7252', 'dino_loss': '0.9017', 'depth_loss': '0.2468', 'vggt_mse_loss': '0.245', 'vggt_cos_loss': '0.01757', 'pidinet_loss': '0.276', 'siglip_loss': '0.5438', 'epoch': '0.2309'} + 71%|█████████████████████▍ | 6417/9000 [5:10:22<2:54:16, 4.05s/it][Dataset] cur_step=6418 phase=C_full_covt +[Dataset] cur_step=6418 phase=C_full_covt +[Dataset] cur_step=6418 phase=C_full_covt +[Dataset] cur_step=6418 phase=C_full_covt +[Dataset] cur_step=6418 phase=C_full_covt +[Dataset] cur_step=6418 phase=C_full_covt[Dataset] cur_step=6418 phase=C_full_covt + + 71%|█████████████████████▍ | 6418/9000 [5:10:23<2:53:13, 4.03s/it][Dataset] cur_step=6418 phase=C_full_covt + {'loss': '2.989', 'grad_norm': '1.719', 'learning_rate': '1.043e-05', 'epoch': '0.2309'} + 71%|█████████████████████▍ | 6418/9000 [5:10:23<2:53:13, 4.03s/it] {'lm_loss': '0.8536', 'visual_loss': '2.702', 'seg_loss': '0.6902', 'dino_loss': '0.9064', 'depth_loss': '0.2596', 'vggt_mse_loss': '0.2578', 'vggt_cos_loss': '0.01885', 'pidinet_loss': '0.2373', 'siglip_loss': '0.608', 'epoch': '0.2309'} + 71%|█████████████████████▍ | 6418/9000 [5:10:26<2:53:13, 4.03s/it][Dataset] cur_step=6419 phase=C_full_covt +[Dataset] cur_step=6419 phase=C_full_covt +[Dataset] cur_step=6419 phase=C_full_covt +[Dataset] cur_step=6419 phase=C_full_covt[Dataset] cur_step=6419 phase=C_full_covt + +[Dataset] cur_step=6419 phase=C_full_covt +[Dataset] cur_step=6419 phase=C_full_covt +[Dataset] cur_step=6419 phase=C_full_covt + 71%|█████████████████████▍ | 6419/9000 [5:10:29<3:18:11, 4.61s/it] {'loss': '3.185', 'grad_norm': '1.765', 'learning_rate': '1.042e-05', 'epoch': '0.2309'} + 71%|█████████████████████▍ | 6419/9000 [5:10:29<3:18:11, 4.61s/it] {'lm_loss': '0.1786', 'visual_loss': '2.497', 'seg_loss': '0.6267', 'dino_loss': '0.879', 'depth_loss': '0.1513', 'vggt_mse_loss': '0.1502', 'vggt_cos_loss': '0.01075', 'pidinet_loss': '0.2849', 'siglip_loss': '0.5556', 'epoch': '0.2309'} + 71%|█████████████████████▍ | 6419/9000 [5:10:32<3:18:11, 4.61s/it][Dataset] cur_step=6420 phase=C_full_covt +[Dataset] cur_step=6420 phase=C_full_covt +[Dataset] cur_step=6420 phase=C_full_covt +[Dataset] cur_step=6420 phase=C_full_covt +[Dataset] cur_step=6420 phase=C_full_covt[Dataset] cur_step=6420 phase=C_full_covt + +[Dataset] cur_step=6420 phase=C_full_covt + 71%|█████████████████████▍ | 6420/9000 [5:10:32<3:08:21, 4.38s/it][Dataset] cur_step=6420 phase=C_full_covt + {'loss': '2.89', 'grad_norm': '6.916', 'learning_rate': '1.042e-05', 'epoch': '0.231'} + 71%|█████████████████████▍ | 6420/9000 [5:10:32<3:08:21, 4.38s/it] {'lm_loss': '0.6269', 'visual_loss': '2.686', 'seg_loss': '0.7422', 'dino_loss': '0.8915', 'depth_loss': '0.2205', 'vggt_mse_loss': '0.2192', 'vggt_cos_loss': '0.01295', 'pidinet_loss': '0.2436', 'siglip_loss': '0.5883', 'epoch': '0.231'} + 71%|█████████████████████▍ | 6420/9000 [5:10:36<3:08:21, 4.38s/it][Dataset] cur_step=6421 phase=C_full_covt +[Dataset] cur_step=6421 phase=C_full_covt +[Dataset] cur_step=6421 phase=C_full_covt[Dataset] cur_step=6421 phase=C_full_covt + +[Dataset] cur_step=6421 phase=C_full_covt +[Dataset] cur_step=6421 phase=C_full_covt +[Dataset] cur_step=6421 phase=C_full_covt +[Dataset] cur_step=6421 phase=C_full_covt + 71%|█████████████████████▍ | 6421/9000 [5:10:36<3:02:15, 4.24s/it] {'loss': '3.166', 'grad_norm': '1.816', 'learning_rate': '1.041e-05', 'epoch': '0.231'} + 71%|█████████████████████▍ | 6421/9000 [5:10:36<3:02:15, 4.24s/it] {'lm_loss': '0.5349', 'visual_loss': '2.612', 'seg_loss': '0.6204', 'dino_loss': '0.9085', 'depth_loss': '0.2727', 'vggt_mse_loss': '0.2705', 'vggt_cos_loss': '0.02212', 'pidinet_loss': '0.2659', 'siglip_loss': '0.5443', 'epoch': '0.231'} + 71%|█████████████████████▍ | 6421/9000 [5:10:40<3:02:15, 4.24s/it][Dataset] cur_step=6422 phase=C_full_covt +[Dataset] cur_step=6422 phase=C_full_covt +[Dataset] cur_step=6422 phase=C_full_covt +[Dataset] cur_step=6422 phase=C_full_covt[Dataset] cur_step=6422 phase=C_full_covt + +[Dataset] cur_step=6422 phase=C_full_covt[Dataset] cur_step=6422 phase=C_full_covt + +[Dataset] cur_step=6422 phase=C_full_covt + 71%|█████████████████████▍ | 6422/9000 [5:10:41<3:05:10, 4.31s/it] {'loss': '3.066', 'grad_norm': '2.478', 'learning_rate': '1.04e-05', 'epoch': '0.231'} + 71%|█████████████████████▍ | 6422/9000 [5:10:41<3:05:10, 4.31s/it] {'lm_loss': '0.3244', 'visual_loss': '2.734', 'seg_loss': '0.7455', 'dino_loss': '0.8905', 'depth_loss': '0.2148', 'vggt_mse_loss': '0.2131', 'vggt_cos_loss': '0.01715', 'pidinet_loss': '0.2985', 'siglip_loss': '0.5851', 'epoch': '0.231'} + 71%|█████████████████████▍ | 6422/9000 [5:10:44<3:05:10, 4.31s/it][Dataset] cur_step=6423 phase=C_full_covt +[Dataset] cur_step=6423 phase=C_full_covt +[Dataset] cur_step=6423 phase=C_full_covt +[Dataset] cur_step=6423 phase=C_full_covt +[Dataset] cur_step=6423 phase=C_full_covt +[Dataset] cur_step=6423 phase=C_full_covt +[Dataset] cur_step=6423 phase=C_full_covt +[Dataset] cur_step=6423 phase=C_full_covt + 71%|█████████████████████▍ | 6423/9000 [5:10:45<3:00:52, 4.21s/it] {'loss': '3.031', 'grad_norm': '1.577', 'learning_rate': '1.039e-05', 'epoch': '0.2311'} + 71%|█████████████████████▍ | 6423/9000 [5:10:45<3:00:52, 4.21s/it] {'lm_loss': '0.8303', 'visual_loss': '2.429', 'seg_loss': '0.5424', 'dino_loss': '0.9104', 'depth_loss': '0.2547', 'vggt_mse_loss': '0.2529', 'vggt_cos_loss': '0.01777', 'pidinet_loss': '0.2231', 'siglip_loss': '0.4981', 'epoch': '0.2311'} + 71%|█████████████████████▍ | 6423/9000 [5:10:49<3:00:52, 4.21s/it][Dataset] cur_step=6424 phase=C_full_covt +[Dataset] cur_step=6424 phase=C_full_covt[Dataset] cur_step=6424 phase=C_full_covt + + 71%|█████████████████████▍ | 6424/9000 [5:10:52<3:35:11, 5.01s/it][Dataset] cur_step=6424 phase=C_full_covt +[Dataset] cur_step=6424 phase=C_full_covt +[Dataset] cur_step=6424 phase=C_full_covt +[Dataset] cur_step=6424 phase=C_full_covt +[Dataset] cur_step=6424 phase=C_full_covt + {'loss': '3.366', 'grad_norm': '2.961', 'learning_rate': '1.039e-05', 'epoch': '0.2311'} + 71%|█████████████████████▍ | 6424/9000 [5:10:52<3:35:11, 5.01s/it] {'lm_loss': '0.9924', 'visual_loss': '2.509', 'seg_loss': '0.7167', 'dino_loss': '0.8993', 'depth_loss': '0.2224', 'vggt_mse_loss': '0.2209', 'vggt_cos_loss': '0.01486', 'pidinet_loss': '0.2246', 'siglip_loss': '0.4464', 'epoch': '0.2311'} + 71%|█████████████████████▍ | 6424/9000 [5:10:56<3:35:11, 5.01s/it][Dataset] cur_step=6425 phase=C_full_covt +[Dataset] cur_step=6425 phase=C_full_covt 71%|█████████████████████▍ | 6425/9000 [5:10:56<3:31:26, 4.93s/it] +[Dataset] cur_step=6425 phase=C_full_covt +[Dataset] cur_step=6425 phase=C_full_covt +[Dataset] cur_step=6425 phase=C_full_covt +[Dataset] cur_step=6425 phase=C_full_covt +[Dataset] cur_step=6425 phase=C_full_covt[Dataset] cur_step=6425 phase=C_full_covt + + {'loss': '3.215', 'grad_norm': '4.87', 'learning_rate': '1.038e-05', 'epoch': '0.2311'} + 71%|█████████████████████▍ | 6425/9000 [5:10:56<3:31:26, 4.93s/it] {'lm_loss': '0.3792', 'visual_loss': '2.344', 'seg_loss': '0.5816', 'dino_loss': '0.8606', 'depth_loss': '0.2782', 'vggt_mse_loss': '0.2766', 'vggt_cos_loss': '0.01614', 'pidinet_loss': '0.2038', 'siglip_loss': '0.4199', 'epoch': '0.2311'} + 71%|█████████████████████▍ | 6425/9000 [5:11:00<3:31:26, 4.93s/it][Dataset] cur_step=6426 phase=C_full_covt +[Dataset] cur_step=6426 phase=C_full_covt +[Dataset] cur_step=6426 phase=C_full_covt[Dataset] cur_step=6426 phase=C_full_covt + + 71%|█████████████████████▍ | 6426/9000 [5:11:01<3:21:52, 4.71s/it][Dataset] cur_step=6426 phase=C_full_covt +[Dataset] cur_step=6426 phase=C_full_covt +[Dataset] cur_step=6426 phase=C_full_covt +[Dataset] cur_step=6426 phase=C_full_covt + {'loss': '3.034', 'grad_norm': '1.932', 'learning_rate': '1.037e-05', 'epoch': '0.2312'} + 71%|█████████████████████▍ | 6426/9000 [5:11:01<3:21:52, 4.71s/it] {'lm_loss': '0.17', 'visual_loss': '2.213', 'seg_loss': '0.6582', 'dino_loss': '0.897', 'depth_loss': '0.1872', 'vggt_mse_loss': '0.1861', 'vggt_cos_loss': '0.01084', 'pidinet_loss': '0.159', 'siglip_loss': '0.312', 'epoch': '0.2312'} + 71%|█████████████████████▍ | 6426/9000 [5:11:04<3:21:52, 4.71s/it][Dataset] cur_step=6427 phase=C_full_covt +[Dataset] cur_step=6427 phase=C_full_covt + 71%|█████████████████████▍ | 6427/9000 [5:11:06<3:36:26, 5.05s/it][Dataset] cur_step=6427 phase=C_full_covt +[Dataset] cur_step=6427 phase=C_full_covt[Dataset] cur_step=6427 phase=C_full_covt[Dataset] cur_step=6427 phase=C_full_covt + + +[Dataset] cur_step=6427 phase=C_full_covt +[Dataset] cur_step=6427 phase=C_full_covt + {'loss': '3.112', 'grad_norm': '2.27', 'learning_rate': '1.036e-05', 'epoch': '0.2312'} + 71%|█████████████████████▍ | 6427/9000 [5:11:06<3:36:26, 5.05s/it] {'lm_loss': '0.411', 'visual_loss': '2.783', 'seg_loss': '0.6827', 'dino_loss': '0.9467', 'depth_loss': '0.1879', 'vggt_mse_loss': '0.1866', 'vggt_cos_loss': '0.01317', 'pidinet_loss': '0.2099', 'siglip_loss': '0.7554', 'epoch': '0.2312'} + 71%|█████████████████████▍ | 6427/9000 [5:11:10<3:36:26, 5.05s/it][Dataset] cur_step=6428 phase=C_full_covt +[Dataset] cur_step=6428 phase=C_full_covt +[Dataset] cur_step=6428 phase=C_full_covt +[Dataset] cur_step=6428 phase=C_full_covt + 71%|█████████████████████▍ | 6428/9000 [5:11:10<3:22:09, 4.72s/it][Dataset] cur_step=6428 phase=C_full_covt[Dataset] cur_step=6428 phase=C_full_covt + +[Dataset] cur_step=6428 phase=C_full_covt +[Dataset] cur_step=6428 phase=C_full_covt + {'loss': '3.244', 'grad_norm': '2.165', 'learning_rate': '1.036e-05', 'epoch': '0.2312'} + 71%|█████████████████████▍ | 6428/9000 [5:11:10<3:22:09, 4.72s/it] {'lm_loss': '0.6042', 'visual_loss': '2.683', 'seg_loss': '0.6993', 'dino_loss': '0.9272', 'depth_loss': '0.2115', 'vggt_mse_loss': '0.21', 'vggt_cos_loss': '0.01508', 'pidinet_loss': '0.2832', 'siglip_loss': '0.5615', 'epoch': '0.2312'} + 71%|█████████████████████▍ | 6428/9000 [5:11:14<3:22:09, 4.72s/it][Dataset] cur_step=6429 phase=C_full_covt[Dataset] cur_step=6429 phase=C_full_covt + +[Dataset] cur_step=6429 phase=C_full_covt +[Dataset] cur_step=6429 phase=C_full_covt +[Dataset] cur_step=6429 phase=C_full_covt +[Dataset] cur_step=6429 phase=C_full_covt +[Dataset] cur_step=6429 phase=C_full_covt +[Dataset] cur_step=6429 phase=C_full_covt + 71%|█████████████████████▍ | 6429/9000 [5:11:15<3:17:14, 4.60s/it] {'loss': '3.073', 'grad_norm': '1.945', 'learning_rate': '1.035e-05', 'epoch': '0.2313'} + 71%|█████████████████████▍ | 6429/9000 [5:11:15<3:17:14, 4.60s/it] {'lm_loss': '0.006545', 'visual_loss': '2.529', 'seg_loss': '0.6967', 'dino_loss': '0.8834', 'depth_loss': '0.2286', 'vggt_mse_loss': '0.2271', 'vggt_cos_loss': '0.01566', 'pidinet_loss': '0.1904', 'siglip_loss': '0.5299', 'epoch': '0.2313'} + 71%|█████████████████████▍ | 6429/9000 [5:11:18<3:17:14, 4.60s/it][Dataset] cur_step=6430 phase=C_full_covt +[Dataset] cur_step=6430 phase=C_full_covt +[Dataset] cur_step=6430 phase=C_full_covt +[Dataset] cur_step=6430 phase=C_full_covt +[Dataset] cur_step=6430 phase=C_full_covt +[Dataset] cur_step=6430 phase=C_full_covt + 71%|█████████████████████▍ | 6430/9000 [5:11:19<3:11:21, 4.47s/it][Dataset] cur_step=6430 phase=C_full_covt +[Dataset] cur_step=6430 phase=C_full_covt + {'loss': '2.898', 'grad_norm': '1.227', 'learning_rate': '1.034e-05', 'epoch': '0.2313'} + 71%|█████████████████████▍ | 6430/9000 [5:11:19<3:11:21, 4.47s/it] {'lm_loss': '0.004165', 'visual_loss': '2.248', 'seg_loss': '0.5767', 'dino_loss': '0.8784', 'depth_loss': '0.1985', 'vggt_mse_loss': '0.1973', 'vggt_cos_loss': '0.01223', 'pidinet_loss': '0.1884', 'siglip_loss': '0.4057', 'epoch': '0.2313'} + 71%|█████████████████████▍ | 6430/9000 [5:11:22<3:11:21, 4.47s/it][Dataset] cur_step=6431 phase=C_full_covt +[Dataset] cur_step=6431 phase=C_full_covt + 71%|█████████████████████▍ | 6431/9000 [5:11:23<3:06:37, 4.36s/it][Dataset] cur_step=6431 phase=C_full_covt +[Dataset] cur_step=6431 phase=C_full_covt +[Dataset] cur_step=6431 phase=C_full_covt +[Dataset] cur_step=6431 phase=C_full_covt +[Dataset] cur_step=6431 phase=C_full_covt +[Dataset] cur_step=6431 phase=C_full_covt + {'loss': '2.928', 'grad_norm': '1.47', 'learning_rate': '1.034e-05', 'epoch': '0.2314'} + 71%|█████████████████████▍ | 6431/9000 [5:11:23<3:06:37, 4.36s/it] {'lm_loss': '0.582', 'visual_loss': '2.663', 'seg_loss': '0.712', 'dino_loss': '0.8785', 'depth_loss': '0.163', 'vggt_mse_loss': '0.1621', 'vggt_cos_loss': '0.009419', 'pidinet_loss': '0.2483', 'siglip_loss': '0.6609', 'epoch': '0.2314'} + 71%|█████████████████████▍ | 6431/9000 [5:11:26<3:06:37, 4.36s/it][Dataset] cur_step=6432 phase=C_full_covt +[Dataset] cur_step=6432 phase=C_full_covt +[Dataset] cur_step=6432 phase=C_full_covt +[Dataset] cur_step=6432 phase=C_full_covt +[Dataset] cur_step=6432 phase=C_full_covt +[Dataset] cur_step=6432 phase=C_full_covt 71%|█████████████████████▍ | 6432/9000 [5:11:27<3:04:59, 4.32s/it] +[Dataset] cur_step=6432 phase=C_full_covt[Dataset] cur_step=6432 phase=C_full_covt + + {'loss': '3.182', 'grad_norm': '3.466', 'learning_rate': '1.033e-05', 'epoch': '0.2314'} + 71%|█████████████████████▍ | 6432/9000 [5:11:27<3:04:59, 4.32s/it] {'lm_loss': '0.838', 'visual_loss': '2.429', 'seg_loss': '0.6415', 'dino_loss': '0.8978', 'depth_loss': '0.2438', 'vggt_mse_loss': '0.2423', 'vggt_cos_loss': '0.01447', 'pidinet_loss': '0.2371', 'siglip_loss': '0.4093', 'epoch': '0.2314'} + 71%|█████████████████████▍ | 6432/9000 [5:11:31<3:04:59, 4.32s/it][Dataset] cur_step=6433 phase=C_full_covt +[Dataset] cur_step=6433 phase=C_full_covt +[Dataset] cur_step=6433 phase=C_full_covt +[Dataset] cur_step=6433 phase=C_full_covt[Dataset] cur_step=6433 phase=C_full_covt + +[Dataset] cur_step=6433 phase=C_full_covt +[Dataset] cur_step=6433 phase=C_full_covt +[Dataset] cur_step=6433 phase=C_full_covt + 71%|█████████████████████▍ | 6433/9000 [5:11:31<3:02:41, 4.27s/it] {'loss': '2.911', 'grad_norm': '1.718', 'learning_rate': '1.032e-05', 'epoch': '0.2314'} + 71%|█████████████████████▍ | 6433/9000 [5:11:31<3:02:41, 4.27s/it] {'lm_loss': '0.7988', 'visual_loss': '2.485', 'seg_loss': '0.6672', 'dino_loss': '0.8934', 'depth_loss': '0.2042', 'vggt_mse_loss': '0.2025', 'vggt_cos_loss': '0.01652', 'pidinet_loss': '0.2294', 'siglip_loss': '0.491', 'epoch': '0.2314'} + 71%|█████████████████████▍ | 6433/9000 [5:11:35<3:02:41, 4.27s/it][Dataset] cur_step=6434 phase=C_full_covt +[Dataset] cur_step=6434 phase=C_full_covt +[Dataset] cur_step=6434 phase=C_full_covt +[Dataset] cur_step=6434 phase=C_full_covt[Dataset] cur_step=6434 phase=C_full_covt + + 71%|█████████████████████▍ | 6434/9000 [5:11:38<3:30:36, 4.92s/it][Dataset] cur_step=6434 phase=C_full_covt +[Dataset] cur_step=6434 phase=C_full_covt +[Dataset] cur_step=6434 phase=C_full_covt + {'loss': '3.371', 'grad_norm': '1.595', 'learning_rate': '1.031e-05', 'epoch': '0.2315'} + 71%|█████████████████████▍ | 6434/9000 [5:11:38<3:30:36, 4.92s/it] {'lm_loss': '0.03586', 'visual_loss': '2.904', 'seg_loss': '0.803', 'dino_loss': '0.9154', 'depth_loss': '0.2273', 'vggt_mse_loss': '0.2256', 'vggt_cos_loss': '0.01635', 'pidinet_loss': '0.274', 'siglip_loss': '0.6843', 'epoch': '0.2315'} + 71%|█████████████████████▍ | 6434/9000 [5:11:41<3:30:36, 4.92s/it][Dataset] cur_step=6435 phase=C_full_covt[Dataset] cur_step=6435 phase=C_full_covt + +[Dataset] cur_step=6435 phase=C_full_covt +[Dataset] cur_step=6435 phase=C_full_covt[Dataset] cur_step=6435 phase=C_full_covt 72%|█████████████████████▍ | 6435/9000 [5:11:42<3:18:05, 4.63s/it] + +[Dataset] cur_step=6435 phase=C_full_covt +[Dataset] cur_step=6435 phase=C_full_covt +[Dataset] cur_step=6435 phase=C_full_covt + {'loss': '3.243', 'grad_norm': '1.797', 'learning_rate': '1.031e-05', 'epoch': '0.2315'} + 72%|█████████████████████▍ | 6435/9000 [5:11:42<3:18:05, 4.63s/it] {'lm_loss': '0.7133', 'visual_loss': '2.817', 'seg_loss': '0.7485', 'dino_loss': '0.9111', 'depth_loss': '0.1987', 'vggt_mse_loss': '0.1973', 'vggt_cos_loss': '0.01376', 'pidinet_loss': '0.2659', 'siglip_loss': '0.6927', 'epoch': '0.2315'} + 72%|█████████████████████▍ | 6435/9000 [5:11:45<3:18:05, 4.63s/it][Dataset] cur_step=6436 phase=C_full_covt +[Dataset] cur_step=6436 phase=C_full_covt +[Dataset] cur_step=6436 phase=C_full_covt +[Dataset] cur_step=6436 phase=C_full_covt +[Dataset] cur_step=6436 phase=C_full_covt +[Dataset] cur_step=6436 phase=C_full_covt +[Dataset] cur_step=6436 phase=C_full_covt +[Dataset] cur_step=6436 phase=C_full_covt + 72%|█████████████████████▍ | 6436/9000 [5:11:47<3:21:35, 4.72s/it] {'loss': '3.194', 'grad_norm': '2.23', 'learning_rate': '1.03e-05', 'epoch': '0.2315'} + 72%|█████████████████████▍ | 6436/9000 [5:11:47<3:21:35, 4.72s/it] {'lm_loss': '0.3182', 'visual_loss': '2.763', 'seg_loss': '0.747', 'dino_loss': '0.9077', 'depth_loss': '0.3435', 'vggt_mse_loss': '0.3406', 'vggt_cos_loss': '0.02854', 'pidinet_loss': '0.2498', 'siglip_loss': '0.5153', 'epoch': '0.2315'} + 72%|█████████████████████▍ | 6436/9000 [5:11:50<3:21:35, 4.72s/it][Dataset] cur_step=6437 phase=C_full_covt +[Dataset] cur_step=6437 phase=C_full_covt +[Dataset] cur_step=6437 phase=C_full_covt +[Dataset] cur_step=6437 phase=C_full_covt + 72%|█████████████████████▍ | 6437/9000 [5:11:51<3:11:32, 4.48s/it][Dataset] cur_step=6437 phase=C_full_covt +[Dataset] cur_step=6437 phase=C_full_covt +[Dataset] cur_step=6437 phase=C_full_covt +[Dataset] cur_step=6437 phase=C_full_covt + {'loss': '2.93', 'grad_norm': '2.015', 'learning_rate': '1.029e-05', 'epoch': '0.2316'} + 72%|█████████████████████▍ | 6437/9000 [5:11:51<3:11:32, 4.48s/it] {'lm_loss': '0.4292', 'visual_loss': '2.801', 'seg_loss': '0.7567', 'dino_loss': '0.898', 'depth_loss': '0.2902', 'vggt_mse_loss': '0.2879', 'vggt_cos_loss': '0.02318', 'pidinet_loss': '0.2291', 'siglip_loss': '0.6271', 'epoch': '0.2316'} + 72%|█████████████████████▍ | 6437/9000 [5:11:54<3:11:32, 4.48s/it][Dataset] cur_step=6438 phase=C_full_covt +[Dataset] cur_step=6438 phase=C_full_covt +[Dataset] cur_step=6438 phase=C_full_covt +[Dataset] cur_step=6438 phase=C_full_covt + 72%|█████████████████████▍ | 6438/9000 [5:11:54<3:02:42, 4.28s/it][Dataset] cur_step=6438 phase=C_full_covt +[Dataset] cur_step=6438 phase=C_full_covt +[Dataset] cur_step=6438 phase=C_full_covt +[Dataset] cur_step=6438 phase=C_full_covt + {'loss': '3.098', 'grad_norm': '1.813', 'learning_rate': '1.028e-05', 'epoch': '0.2316'} + 72%|█████████████████████▍ | 6438/9000 [5:11:54<3:02:42, 4.28s/it] {'lm_loss': '0.3675', 'visual_loss': '2.955', 'seg_loss': '0.8565', 'dino_loss': '0.9061', 'depth_loss': '0.298', 'vggt_mse_loss': '0.296', 'vggt_cos_loss': '0.01997', 'pidinet_loss': '0.2621', 'siglip_loss': '0.6327', 'epoch': '0.2316'} + 72%|█████████████████████▍ | 6438/9000 [5:11:58<3:02:42, 4.28s/it][Dataset] cur_step=6439 phase=C_full_covt[Dataset] cur_step=6439 phase=C_full_covt + +[Dataset] cur_step=6439 phase=C_full_covt +[Dataset] cur_step=6439 phase=C_full_covt +[Dataset] cur_step=6439 phase=C_full_covt +[Dataset] cur_step=6439 phase=C_full_covt + 72%|█████████████████████▍ | 6439/9000 [5:11:58<2:55:53, 4.12s/it][Dataset] cur_step=6439 phase=C_full_covt +[Dataset] cur_step=6439 phase=C_full_covt + {'loss': '3.14', 'grad_norm': '2.677', 'learning_rate': '1.028e-05', 'epoch': '0.2316'} + 72%|█████████████████████▍ | 6439/9000 [5:11:58<2:55:53, 4.12s/it] {'lm_loss': '0.01425', 'visual_loss': '2.575', 'seg_loss': '0.6709', 'dino_loss': '0.9306', 'depth_loss': '0.2468', 'vggt_mse_loss': '0.245', 'vggt_cos_loss': '0.01798', 'pidinet_loss': '0.2398', 'siglip_loss': '0.4867', 'epoch': '0.2316'} + 72%|█████████████████████▍ | 6439/9000 [5:12:01<2:55:53, 4.12s/it][Dataset] cur_step=6440 phase=C_full_covt +[Dataset] cur_step=6440 phase=C_full_covt +[Dataset] cur_step=6440 phase=C_full_covt +[Dataset] cur_step=6440 phase=C_full_covt + 72%|█████████████████████▍ | 6440/9000 [5:12:02<2:50:12, 3.99s/it][Dataset] cur_step=6440 phase=C_full_covt[Dataset] cur_step=6440 phase=C_full_covt +[Dataset] cur_step=6440 phase=C_full_covt + +[Dataset] cur_step=6440 phase=C_full_covt + {'loss': '2.897', 'grad_norm': '2.226', 'learning_rate': '1.027e-05', 'epoch': '0.2317'} + 72%|█████████████████████▍ | 6440/9000 [5:12:02<2:50:12, 3.99s/it] {'lm_loss': '0.03104', 'visual_loss': '2.72', 'seg_loss': '0.8357', 'dino_loss': '0.9185', 'depth_loss': '0.2621', 'vggt_mse_loss': '0.2601', 'vggt_cos_loss': '0.01922', 'pidinet_loss': '0.293', 'siglip_loss': '0.4104', 'epoch': '0.2317'} + 72%|█████████████████████▍ | 6440/9000 [5:12:05<2:50:12, 3.99s/it][Dataset] cur_step=6441 phase=C_full_covt +[Dataset] cur_step=6441 phase=C_full_covt[Dataset] cur_step=6441 phase=C_full_covt + +[Dataset] cur_step=6441 phase=C_full_covt +[Dataset] cur_step=6441 phase=C_full_covt +[Dataset] cur_step=6441 phase=C_full_covt + 72%|█████████████████████▍ | 6441/9000 [5:12:06<2:50:05, 3.99s/it][Dataset] cur_step=6441 phase=C_full_covt +[Dataset] cur_step=6441 phase=C_full_covt + {'loss': '3.106', 'grad_norm': '2.41', 'learning_rate': '1.026e-05', 'epoch': '0.2317'} + 72%|█████████████████████▍ | 6441/9000 [5:12:06<2:50:05, 3.99s/it] {'lm_loss': '0.4251', 'visual_loss': '2.694', 'seg_loss': '0.7283', 'dino_loss': '0.8861', 'depth_loss': '0.2772', 'vggt_mse_loss': '0.2748', 'vggt_cos_loss': '0.02376', 'pidinet_loss': '0.2432', 'siglip_loss': '0.559', 'epoch': '0.2317'} + 72%|█████████████████████▍ | 6441/9000 [5:12:09<2:50:05, 3.99s/it][Dataset] cur_step=6442 phase=C_full_covt +[Dataset] cur_step=6442 phase=C_full_covt[Dataset] cur_step=6442 phase=C_full_covt[Dataset] cur_step=6442 phase=C_full_covt + +[Dataset] cur_step=6442 phase=C_full_covt +[Dataset] cur_step=6442 phase=C_full_covt + 72%|█████████████████████▍ | 6442/9000 [5:12:10<2:47:17, 3.92s/it][Dataset] cur_step=6442 phase=C_full_covt +[Dataset] cur_step=6442 phase=C_full_covt + + {'loss': '3.004', 'grad_norm': '2.035', 'learning_rate': '1.025e-05', 'epoch': '0.2318'} + 72%|█████████████████████▍ | 6442/9000 [5:12:10<2:47:17, 3.92s/it] {'lm_loss': '0.936', 'visual_loss': '2.623', 'seg_loss': '0.7565', 'dino_loss': '0.9011', 'depth_loss': '0.1732', 'vggt_mse_loss': '0.1721', 'vggt_cos_loss': '0.01159', 'pidinet_loss': '0.2587', 'siglip_loss': '0.5333', 'epoch': '0.2318'} + 72%|█████████████████████▍ | 6442/9000 [5:12:13<2:47:17, 3.92s/it][Dataset] cur_step=6443 phase=C_full_covt +[Dataset] cur_step=6443 phase=C_full_covt +[Dataset] cur_step=6443 phase=C_full_covt[Dataset] cur_step=6443 phase=C_full_covt +[Dataset] cur_step=6443 phase=C_full_covt + +[Dataset] cur_step=6443 phase=C_full_covt +[Dataset] cur_step=6443 phase=C_full_covt + 72%|█████████████████████▍ | 6443/9000 [5:12:13<2:44:22, 3.86s/it][Dataset] cur_step=6443 phase=C_full_covt + {'loss': '3.324', 'grad_norm': '2.309', 'learning_rate': '1.025e-05', 'epoch': '0.2318'} + 72%|█████████████████████▍ | 6443/9000 [5:12:13<2:44:22, 3.86s/it] {'lm_loss': '0.7464', 'visual_loss': '2.58', 'seg_loss': '0.6301', 'dino_loss': '0.91', 'depth_loss': '0.2368', 'vggt_mse_loss': '0.2351', 'vggt_cos_loss': '0.01667', 'pidinet_loss': '0.2367', 'siglip_loss': '0.566', 'epoch': '0.2318'} + 72%|█████████████████████▍ | 6443/9000 [5:12:17<2:44:22, 3.86s/it][Dataset] cur_step=6444 phase=C_full_covt +[Dataset] cur_step=6444 phase=C_full_covt[Dataset] cur_step=6444 phase=C_full_covt[Dataset] cur_step=6444 phase=C_full_covt + +[Dataset] cur_step=6444 phase=C_full_covt + + 72%|█████████████████████▍ | 6444/9000 [5:12:18<2:48:33, 3.96s/it][Dataset] cur_step=6444 phase=C_full_covt +[Dataset] cur_step=6444 phase=C_full_covt +[Dataset] cur_step=6444 phase=C_full_covt + {'loss': '2.896', 'grad_norm': '1.235', 'learning_rate': '1.024e-05', 'epoch': '0.2318'} + 72%|█████████████████████▍ | 6444/9000 [5:12:18<2:48:33, 3.96s/it] {'lm_loss': '0.4408', 'visual_loss': '2.927', 'seg_loss': '0.7855', 'dino_loss': '0.9186', 'depth_loss': '0.3001', 'vggt_mse_loss': '0.2984', 'vggt_cos_loss': '0.01702', 'pidinet_loss': '0.2236', 'siglip_loss': '0.6996', 'epoch': '0.2318'} + 72%|█████████████████████▍ | 6444/9000 [5:12:21<2:48:33, 3.96s/it][Dataset] cur_step=6445 phase=C_full_covt +[Dataset] cur_step=6445 phase=C_full_covt +[Dataset] cur_step=6445 phase=C_full_covt +[Dataset] cur_step=6445 phase=C_full_covt +[Dataset] cur_step=6445 phase=C_full_covt +[Dataset] cur_step=6445 phase=C_full_covt +[Dataset] cur_step=6445 phase=C_full_covt + 72%|█████████████████████▍ | 6445/9000 [5:12:21<2:44:43, 3.87s/it][Dataset] cur_step=6445 phase=C_full_covt + {'loss': '3.075', 'grad_norm': '1.946', 'learning_rate': '1.023e-05', 'epoch': '0.2319'} + 72%|█████████████████████▍ | 6445/9000 [5:12:21<2:44:43, 3.87s/it] {'lm_loss': '0.3057', 'visual_loss': '2.512', 'seg_loss': '0.6657', 'dino_loss': '0.9225', 'depth_loss': '0.2866', 'vggt_mse_loss': '0.2845', 'vggt_cos_loss': '0.02088', 'pidinet_loss': '0.1905', 'siglip_loss': '0.4471', 'epoch': '0.2319'} + 72%|█████████████████████▍ | 6445/9000 [5:12:25<2:44:43, 3.87s/it][Dataset] cur_step=6446 phase=C_full_covt +[Dataset] cur_step=6446 phase=C_full_covt + 72%|█████████████████████▍ | 6446/9000 [5:12:25<2:45:29, 3.89s/it][Dataset] cur_step=6446 phase=C_full_covt[Dataset] cur_step=6446 phase=C_full_covt[Dataset] cur_step=6446 phase=C_full_covt[Dataset] cur_step=6446 phase=C_full_covt + + + +[Dataset] cur_step=6446 phase=C_full_covt +[Dataset] cur_step=6446 phase=C_full_covt + {'loss': '3.114', 'grad_norm': '2.637', 'learning_rate': '1.022e-05', 'epoch': '0.2319'} + 72%|█████████████████████▍ | 6446/9000 [5:12:25<2:45:29, 3.89s/it] {'lm_loss': '0.5469', 'visual_loss': '2.734', 'seg_loss': '0.7609', 'dino_loss': '0.9244', 'depth_loss': '0.1824', 'vggt_mse_loss': '0.181', 'vggt_cos_loss': '0.01367', 'pidinet_loss': '0.2658', 'siglip_loss': '0.6007', 'epoch': '0.2319'} + 72%|█████████████████████▍ | 6446/9000 [5:12:28<2:45:29, 3.89s/it][Dataset] cur_step=6447 phase=C_full_covt +[Dataset] cur_step=6447 phase=C_full_covt[Dataset] cur_step=6447 phase=C_full_covt + +[Dataset] cur_step=6447 phase=C_full_covt +[Dataset] cur_step=6447 phase=C_full_covt +[Dataset] cur_step=6447 phase=C_full_covt[Dataset] cur_step=6447 phase=C_full_covt + + 72%|█████████████████████▍ | 6447/9000 [5:12:29<2:45:41, 3.89s/it][Dataset] cur_step=6447 phase=C_full_covt + {'loss': '3.105', 'grad_norm': '21.05', 'learning_rate': '1.022e-05', 'epoch': '0.2319'} + 72%|█████████████████████▍ | 6447/9000 [5:12:29<2:45:41, 3.89s/it] {'lm_loss': '0.002201', 'visual_loss': '2.67', 'seg_loss': '0.7197', 'dino_loss': '0.8979', 'depth_loss': '0.1846', 'vggt_mse_loss': '0.1832', 'vggt_cos_loss': '0.01429', 'pidinet_loss': '0.2727', 'siglip_loss': '0.5948', 'epoch': '0.2319'} + 72%|█████████████████████▍ | 6447/9000 [5:12:32<2:45:41, 3.89s/it][Dataset] cur_step=6448 phase=C_full_covt[Dataset] cur_step=6448 phase=C_full_covt + +[Dataset] cur_step=6448 phase=C_full_covt +[Dataset] cur_step=6448 phase=C_full_covt +[Dataset] cur_step=6448 phase=C_full_covt +[Dataset] cur_step=6448 phase=C_full_covt +[Dataset] cur_step=6448 phase=C_full_covt +[Dataset] cur_step=6448 phase=C_full_covt + 72%|█████████████████████▍ | 6448/9000 [5:12:33<2:45:37, 3.89s/it] {'loss': '3.02', 'grad_norm': '1.986', 'learning_rate': '1.021e-05', 'epoch': '0.232'} + 72%|█████████████████████▍ | 6448/9000 [5:12:33<2:45:37, 3.89s/it] {'lm_loss': '0.8606', 'visual_loss': '3.155', 'seg_loss': '0.7592', 'dino_loss': '0.926', 'depth_loss': '0.6218', 'vggt_mse_loss': '0.6172', 'vggt_cos_loss': '0.04593', 'pidinet_loss': '0.229', 'siglip_loss': '0.6194', 'epoch': '0.232'} + 72%|█████████████████████▍ | 6448/9000 [5:12:36<2:45:37, 3.89s/it][Dataset] cur_step=6449 phase=C_full_covt[Dataset] cur_step=6449 phase=C_full_covt[Dataset] cur_step=6449 phase=C_full_covt + + +[Dataset] cur_step=6449 phase=C_full_covt +[Dataset] cur_step=6449 phase=C_full_covt 72%|█████████████████████▍ | 6449/9000 [5:12:37<2:48:57, 3.97s/it] +[Dataset] cur_step=6449 phase=C_full_covt +[Dataset] cur_step=6449 phase=C_full_covt +[Dataset] cur_step=6449 phase=C_full_covt + {'loss': '3.093', 'grad_norm': '2.946', 'learning_rate': '1.02e-05', 'epoch': '0.232'} + 72%|█████████████████████▍ | 6449/9000 [5:12:37<2:48:57, 3.97s/it] {'lm_loss': '0.3393', 'visual_loss': '2.807', 'seg_loss': '0.7243', 'dino_loss': '0.8963', 'depth_loss': '0.338', 'vggt_mse_loss': '0.3352', 'vggt_cos_loss': '0.02863', 'pidinet_loss': '0.1962', 'siglip_loss': '0.6519', 'epoch': '0.232'} + 72%|█████████████████████▍ | 6449/9000 [5:12:40<2:48:57, 3.97s/it][Dataset] cur_step=6450 phase=C_full_covt +[Dataset] cur_step=6450 phase=C_full_covt +[Dataset] cur_step=6450 phase=C_full_covt[Dataset] cur_step=6450 phase=C_full_covt[Dataset] cur_step=6450 phase=C_full_covt + +[Dataset] cur_step=6450 phase=C_full_covt +[Dataset] cur_step=6450 phase=C_full_covt + + 72%|█████████████████████▌ | 6450/9000 [5:12:41<2:54:17, 4.10s/it][Dataset] cur_step=6450 phase=C_full_covt + {'loss': '2.908', 'grad_norm': '2.493', 'learning_rate': '1.019e-05', 'epoch': '0.232'} + 72%|█████████████████████▌ | 6450/9000 [5:12:41<2:54:17, 4.10s/it] {'lm_loss': '0.4878', 'visual_loss': '2.42', 'seg_loss': '0.6631', 'dino_loss': '0.8968', 'depth_loss': '0.1914', 'vggt_mse_loss': '0.1903', 'vggt_cos_loss': '0.01191', 'pidinet_loss': '0.1572', 'siglip_loss': '0.5114', 'epoch': '0.232'} + 72%|█████████████████████▌ | 6450/9000 [5:12:45<2:54:17, 4.10s/it][Dataset] cur_step=6451 phase=C_full_covt +[Dataset] cur_step=6451 phase=C_full_covt +[Dataset] cur_step=6451 phase=C_full_covt[Dataset] cur_step=6451 phase=C_full_covt + +[Dataset] cur_step=6451 phase=C_full_covt[Dataset] cur_step=6451 phase=C_full_covt + + 72%|█████████████████████▌ | 6451/9000 [5:12:45<2:51:09, 4.03s/it][Dataset] cur_step=6451 phase=C_full_covt +[Dataset] cur_step=6451 phase=C_full_covt + {'loss': '3.048', 'grad_norm': '2.091', 'learning_rate': '1.019e-05', 'epoch': '0.2321'} + 72%|█████████████████████▌ | 6451/9000 [5:12:45<2:51:09, 4.03s/it] {'lm_loss': '0.01105', 'visual_loss': '2.44', 'seg_loss': '0.7478', 'dino_loss': '0.9016', 'depth_loss': '0.2246', 'vggt_mse_loss': '0.2231', 'vggt_cos_loss': '0.01521', 'pidinet_loss': '0.2136', 'siglip_loss': '0.3519', 'epoch': '0.2321'} + 72%|█████████████████████▌ | 6451/9000 [5:12:49<2:51:09, 4.03s/it][Dataset] cur_step=6452 phase=C_full_covt +[Dataset] cur_step=6452 phase=C_full_covt +[Dataset] cur_step=6452 phase=C_full_covt[Dataset] cur_step=6452 phase=C_full_covt +[Dataset] cur_step=6452 phase=C_full_covt + +[Dataset] cur_step=6452 phase=C_full_covt +[Dataset] cur_step=6452 phase=C_full_covt + 72%|█████████████████████▌ | 6452/9000 [5:12:50<2:54:25, 4.11s/it][Dataset] cur_step=6452 phase=C_full_covt + {'loss': '2.964', 'grad_norm': '1.542', 'learning_rate': '1.018e-05', 'epoch': '0.2321'} + 72%|█████████████████████▌ | 6452/9000 [5:12:50<2:54:25, 4.11s/it] {'lm_loss': '0.7865', 'visual_loss': '2.761', 'seg_loss': '0.7393', 'dino_loss': '0.9265', 'depth_loss': '0.3022', 'vggt_mse_loss': '0.3002', 'vggt_cos_loss': '0.01971', 'pidinet_loss': '0.2306', 'siglip_loss': '0.5629', 'epoch': '0.2321'} + 72%|█████████████████████▌ | 6452/9000 [5:12:53<2:54:25, 4.11s/it][Dataset] cur_step=6453 phase=C_full_covt +[Dataset] cur_step=6453 phase=C_full_covt +[Dataset] cur_step=6453 phase=C_full_covt +[Dataset] cur_step=6453 phase=C_full_covt +[Dataset] cur_step=6453 phase=C_full_covt[Dataset] cur_step=6453 phase=C_full_covt[Dataset] cur_step=6453 phase=C_full_covt + + +[Dataset] cur_step=6453 phase=C_full_covt 72%|█████████████████████▌ | 6453/9000 [5:12:54<2:55:26, 4.13s/it] + {'loss': '3.192', 'grad_norm': '2.084', 'learning_rate': '1.017e-05', 'epoch': '0.2321'} + 72%|█████████████████████▌ | 6453/9000 [5:12:54<2:55:26, 4.13s/it] {'lm_loss': '0.003968', 'visual_loss': '2.469', 'seg_loss': '0.7302', 'dino_loss': '0.8997', 'depth_loss': '0.2378', 'vggt_mse_loss': '0.2366', 'vggt_cos_loss': '0.01197', 'pidinet_loss': '0.2369', 'siglip_loss': '0.3643', 'epoch': '0.2321'} + 72%|█████████████████████▌ | 6453/9000 [5:12:57<2:55:26, 4.13s/it][Dataset] cur_step=6454 phase=C_full_covt +[Dataset] cur_step=6454 phase=C_full_covt +[Dataset] cur_step=6454 phase=C_full_covt[Dataset] cur_step=6454 phase=C_full_covt[Dataset] cur_step=6454 phase=C_full_covt + + +[Dataset] cur_step=6454 phase=C_full_covt +[Dataset] cur_step=6454 phase=C_full_covt + 72%|█████████████████████▌ | 6454/9000 [5:12:58<2:53:27, 4.09s/it][Dataset] cur_step=6454 phase=C_full_covt + {'loss': '2.931', 'grad_norm': '2.073', 'learning_rate': '1.016e-05', 'epoch': '0.2322'} + 72%|█████████████████████▌ | 6454/9000 [5:12:58<2:53:27, 4.09s/it] {'lm_loss': '0.008301', 'visual_loss': '2.344', 'seg_loss': '0.6331', 'dino_loss': '0.912', 'depth_loss': '0.2506', 'vggt_mse_loss': '0.2491', 'vggt_cos_loss': '0.01535', 'pidinet_loss': '0.2387', 'siglip_loss': '0.3092', 'epoch': '0.2322'} + 72%|█████████████████████▌ | 6454/9000 [5:13:01<2:53:27, 4.09s/it][Dataset] cur_step=6455 phase=C_full_covt +[Dataset] cur_step=6455 phase=C_full_covt +[Dataset] cur_step=6455 phase=C_full_covt + 72%|█████████████████████▌ | 6455/9000 [5:13:02<2:51:41, 4.05s/it][Dataset] cur_step=6455 phase=C_full_covt +[Dataset] cur_step=6455 phase=C_full_covt +[Dataset] cur_step=6455 phase=C_full_covt +[Dataset] cur_step=6455 phase=C_full_covt +[Dataset] cur_step=6455 phase=C_full_covt + {'loss': '3.144', 'grad_norm': '1.517', 'learning_rate': '1.016e-05', 'epoch': '0.2322'} + 72%|█████████████████████▌ | 6455/9000 [5:13:02<2:51:41, 4.05s/it] {'lm_loss': '1.033', 'visual_loss': '2.766', 'seg_loss': '0.648', 'dino_loss': '0.9038', 'depth_loss': '0.2407', 'vggt_mse_loss': '0.2393', 'vggt_cos_loss': '0.01358', 'pidinet_loss': '0.2702', 'siglip_loss': '0.7033', 'epoch': '0.2322'} + 72%|█████████████████████▌ | 6455/9000 [5:13:05<2:51:41, 4.05s/it][Dataset] cur_step=6456 phase=C_full_covt + 72%|█████████████████████▌ | 6456/9000 [5:13:06<2:48:35, 3.98s/it][Dataset] cur_step=6456 phase=C_full_covt[Dataset] cur_step=6456 phase=C_full_covt + +[Dataset] cur_step=6456 phase=C_full_covt +[Dataset] cur_step=6456 phase=C_full_covt[Dataset] cur_step=6456 phase=C_full_covt + +[Dataset] cur_step=6456 phase=C_full_covt[Dataset] cur_step=6456 phase=C_full_covt + + {'loss': '3.307', 'grad_norm': '2.696', 'learning_rate': '1.015e-05', 'epoch': '0.2323'} + 72%|█████████████████████▌ | 6456/9000 [5:13:06<2:48:35, 3.98s/it] {'lm_loss': '0.26', 'visual_loss': '2.186', 'seg_loss': '0.5904', 'dino_loss': '0.8809', 'depth_loss': '0.2298', 'vggt_mse_loss': '0.2285', 'vggt_cos_loss': '0.01245', 'pidinet_loss': '0.1375', 'siglip_loss': '0.3471', 'epoch': '0.2323'} + 72%|█████████████████████▌ | 6456/9000 [5:13:09<2:48:35, 3.98s/it][Dataset] cur_step=6457 phase=C_full_covt + 72%|█████████████████████▌ | 6457/9000 [5:13:10<2:49:20, 4.00s/it][Dataset] cur_step=6457 phase=C_full_covt[Dataset] cur_step=6457 phase=C_full_covt +[Dataset] cur_step=6457 phase=C_full_covt + +[Dataset] cur_step=6457 phase=C_full_covt[Dataset] cur_step=6457 phase=C_full_covt[Dataset] cur_step=6457 phase=C_full_covt + + +[Dataset] cur_step=6457 phase=C_full_covt + {'loss': '3.076', 'grad_norm': '3.747', 'learning_rate': '1.014e-05', 'epoch': '0.2323'} + 72%|█████████████████████▌ | 6457/9000 [5:13:10<2:49:20, 4.00s/it] {'lm_loss': '0.3787', 'visual_loss': '2.542', 'seg_loss': '0.668', 'dino_loss': '0.9023', 'depth_loss': '0.2649', 'vggt_mse_loss': '0.263', 'vggt_cos_loss': '0.01889', 'pidinet_loss': '0.2239', 'siglip_loss': '0.4826', 'epoch': '0.2323'} + 72%|█████████████████████▌ | 6457/9000 [5:13:13<2:49:20, 4.00s/it][Dataset] cur_step=6458 phase=C_full_covt +[Dataset] cur_step=6458 phase=C_full_covt[Dataset] cur_step=6458 phase=C_full_covt +[Dataset] cur_step=6458 phase=C_full_covt +[Dataset] cur_step=6458 phase=C_full_covt + +[Dataset] cur_step=6458 phase=C_full_covt +[Dataset] cur_step=6458 phase=C_full_covt 72%|█████████████████████▌ | 6458/9000 [5:13:14<2:52:22, 4.07s/it] +[Dataset] cur_step=6458 phase=C_full_covt + {'loss': '2.659', 'grad_norm': '1.492', 'learning_rate': '1.013e-05', 'epoch': '0.2323'} + 72%|█████████████████████▌ | 6458/9000 [5:13:14<2:52:22, 4.07s/it] {'lm_loss': '0.6183', 'visual_loss': '2.561', 'seg_loss': '0.7541', 'dino_loss': '0.9252', 'depth_loss': '0.2053', 'vggt_mse_loss': '0.2038', 'vggt_cos_loss': '0.01566', 'pidinet_loss': '0.2147', 'siglip_loss': '0.4615', 'epoch': '0.2323'} + 72%|█████████████████████▌ | 6458/9000 [5:13:17<2:52:22, 4.07s/it][Dataset] cur_step=6459 phase=C_full_covt +[Dataset] cur_step=6459 phase=C_full_covt +[Dataset] cur_step=6459 phase=C_full_covt +[Dataset] cur_step=6459 phase=C_full_covt[Dataset] cur_step=6459 phase=C_full_covt + +[Dataset] cur_step=6459 phase=C_full_covt +[Dataset] cur_step=6459 phase=C_full_covt +[Dataset] cur_step=6459 phase=C_full_covt + 72%|█████████████████████▌ | 6459/9000 [5:13:18<2:52:18, 4.07s/it] {'loss': '3.203', 'grad_norm': '3.109', 'learning_rate': '1.013e-05', 'epoch': '0.2324'} + 72%|█████████████████████▌ | 6459/9000 [5:13:18<2:52:18, 4.07s/it] {'lm_loss': '0.4605', 'visual_loss': '2.696', 'seg_loss': '0.6321', 'dino_loss': '0.9002', 'depth_loss': '0.2409', 'vggt_mse_loss': '0.2393', 'vggt_cos_loss': '0.0162', 'pidinet_loss': '0.2701', 'siglip_loss': '0.6529', 'epoch': '0.2324'} + 72%|█████████████████████▌ | 6459/9000 [5:13:21<2:52:18, 4.07s/it][Dataset] cur_step=6460 phase=C_full_covt +[Dataset] cur_step=6460 phase=C_full_covt +[Dataset] cur_step=6460 phase=C_full_covt +[Dataset] cur_step=6460 phase=C_full_covt +[Dataset] cur_step=6460 phase=C_full_covt[Dataset] cur_step=6460 phase=C_full_covt 72%|█████████████████████▌ | 6460/9000 [5:13:22<2:50:35, 4.03s/it] + +[Dataset] cur_step=6460 phase=C_full_covt +[Dataset] cur_step=6460 phase=C_full_covt + {'loss': '2.934', 'grad_norm': '2.093', 'learning_rate': '1.012e-05', 'epoch': '0.2324'} + 72%|█████████████████████▌ | 6460/9000 [5:13:22<2:50:35, 4.03s/it] {'lm_loss': '0.2458', 'visual_loss': '2.568', 'seg_loss': '0.6405', 'dino_loss': '0.9052', 'depth_loss': '0.1852', 'vggt_mse_loss': '0.1839', 'vggt_cos_loss': '0.01314', 'pidinet_loss': '0.2751', 'siglip_loss': '0.562', 'epoch': '0.2324'} + 72%|█████████████████████▌ | 6460/9000 [5:13:27<2:50:35, 4.03s/it][Dataset] cur_step=6461 phase=C_full_covt + 72%|█████████████████████▌ | 6461/9000 [5:13:28<3:13:39, 4.58s/it][Dataset] cur_step=6461 phase=C_full_covt +[Dataset] cur_step=6461 phase=C_full_covt +[Dataset] cur_step=6461 phase=C_full_covt[Dataset] cur_step=6461 phase=C_full_covt + +[Dataset] cur_step=6461 phase=C_full_covt +[Dataset] cur_step=6461 phase=C_full_covt +[Dataset] cur_step=6461 phase=C_full_covt + {'loss': '2.961', 'grad_norm': '2.275', 'learning_rate': '1.011e-05', 'epoch': '0.2324'} + 72%|█████████████████████▌ | 6461/9000 [5:13:28<3:13:39, 4.58s/it] {'lm_loss': '0.01055', 'visual_loss': '2.818', 'seg_loss': '0.7352', 'dino_loss': '0.9249', 'depth_loss': '0.2812', 'vggt_mse_loss': '0.2792', 'vggt_cos_loss': '0.02035', 'pidinet_loss': '0.2382', 'siglip_loss': '0.6389', 'epoch': '0.2324'} + 72%|█████████████████████▌ | 6461/9000 [5:13:31<3:13:39, 4.58s/it][Dataset] cur_step=6462 phase=C_full_covt[Dataset] cur_step=6462 phase=C_full_covt + +[Dataset] cur_step=6462 phase=C_full_covt[Dataset] cur_step=6462 phase=C_full_covt + +[Dataset] cur_step=6462 phase=C_full_covt +[Dataset] cur_step=6462 phase=C_full_covt +[Dataset] cur_step=6462 phase=C_full_covt + 72%|█████████████████████▌ | 6462/9000 [5:13:32<3:07:03, 4.42s/it][Dataset] cur_step=6462 phase=C_full_covt + {'loss': '3.186', 'grad_norm': '2.765', 'learning_rate': '1.011e-05', 'epoch': '0.2325'} + 72%|█████████████████████▌ | 6462/9000 [5:13:32<3:07:03, 4.42s/it] {'lm_loss': '0.4195', 'visual_loss': '2.612', 'seg_loss': '0.6758', 'dino_loss': '0.9163', 'depth_loss': '0.2107', 'vggt_mse_loss': '0.2092', 'vggt_cos_loss': '0.01434', 'pidinet_loss': '0.2299', 'siglip_loss': '0.579', 'epoch': '0.2325'} + 72%|█████████████████████▌ | 6462/9000 [5:13:35<3:07:03, 4.42s/it][Dataset] cur_step=6463 phase=C_full_covt + 72%|█████████████████████▌ | 6463/9000 [5:13:36<3:02:41, 4.32s/it][Dataset] cur_step=6463 phase=C_full_covt +[Dataset] cur_step=6463 phase=C_full_covt +[Dataset] cur_step=6463 phase=C_full_covt[Dataset] cur_step=6463 phase=C_full_covt +[Dataset] cur_step=6463 phase=C_full_covt + +[Dataset] cur_step=6463 phase=C_full_covt +[Dataset] cur_step=6463 phase=C_full_covt + {'loss': '3.096', 'grad_norm': '2.812', 'learning_rate': '1.01e-05', 'epoch': '0.2325'} + 72%|█████████████████████▌ | 6463/9000 [5:13:36<3:02:41, 4.32s/it] {'lm_loss': '0.4883', 'visual_loss': '2.745', 'seg_loss': '0.7371', 'dino_loss': '0.9376', 'depth_loss': '0.1707', 'vggt_mse_loss': '0.1696', 'vggt_cos_loss': '0.01089', 'pidinet_loss': '0.2279', 'siglip_loss': '0.6716', 'epoch': '0.2325'} + 72%|█████████████████████▌ | 6463/9000 [5:13:39<3:02:41, 4.32s/it][Dataset] cur_step=6464 phase=C_full_covt +[Dataset] cur_step=6464 phase=C_full_covt[Dataset] cur_step=6464 phase=C_full_covt + +[Dataset] cur_step=6464 phase=C_full_covt +[Dataset] cur_step=6464 phase=C_full_covt[Dataset] cur_step=6464 phase=C_full_covt + +[Dataset] cur_step=6464 phase=C_full_covt[Dataset] cur_step=6464 phase=C_full_covt + + 72%|█████████████████████▌ | 6464/9000 [5:13:40<3:03:26, 4.34s/it] {'loss': '3.157', 'grad_norm': '1.913', 'learning_rate': '1.009e-05', 'epoch': '0.2325'} + 72%|█████████████████████▌ | 6464/9000 [5:13:40<3:03:26, 4.34s/it] {'lm_loss': '0.7187', 'visual_loss': '2.7', 'seg_loss': '0.8022', 'dino_loss': '0.8898', 'depth_loss': '0.3443', 'vggt_mse_loss': '0.3417', 'vggt_cos_loss': '0.02616', 'pidinet_loss': '0.204', 'siglip_loss': '0.4597', 'epoch': '0.2325'} + 72%|█████████████████████▌ | 6464/9000 [5:13:43<3:03:26, 4.34s/it][Dataset] cur_step=6465 phase=C_full_covt +[Dataset] cur_step=6465 phase=C_full_covt 72%|█████████████████████▌ | 6465/9000 [5:13:44<2:57:26, 4.20s/it] +[Dataset] cur_step=6465 phase=C_full_covt +[Dataset] cur_step=6465 phase=C_full_covt[Dataset] cur_step=6465 phase=C_full_covt + +[Dataset] cur_step=6465 phase=C_full_covt +[Dataset] cur_step=6465 phase=C_full_covt +[Dataset] cur_step=6465 phase=C_full_covt + {'loss': '3.171', 'grad_norm': '1.635', 'learning_rate': '1.008e-05', 'epoch': '0.2326'} + 72%|█████████████████████▌ | 6465/9000 [5:13:44<2:57:26, 4.20s/it] {'lm_loss': '0.2711', 'visual_loss': '2.726', 'seg_loss': '0.6563', 'dino_loss': '0.9221', 'depth_loss': '0.2224', 'vggt_mse_loss': '0.2212', 'vggt_cos_loss': '0.01279', 'pidinet_loss': '0.1905', 'siglip_loss': '0.7348', 'epoch': '0.2326'} + 72%|█████████████████████▌ | 6465/9000 [5:13:47<2:57:26, 4.20s/it][Dataset] cur_step=6466 phase=C_full_covt +[Dataset] cur_step=6466 phase=C_full_covt +[Dataset] cur_step=6466 phase=C_full_covt +[Dataset] cur_step=6466 phase=C_full_covt +[Dataset] cur_step=6466 phase=C_full_covt + 72%|█████████████████████▌ | 6466/9000 [5:13:48<2:54:21, 4.13s/it][Dataset] cur_step=6466 phase=C_full_covt +[Dataset] cur_step=6466 phase=C_full_covt +[Dataset] cur_step=6466 phase=C_full_covt + {'loss': '2.941', 'grad_norm': '2.464', 'learning_rate': '1.008e-05', 'epoch': '0.2326'} + 72%|█████████████████████▌ | 6466/9000 [5:13:48<2:54:21, 4.13s/it] {'lm_loss': '0.8459', 'visual_loss': '2.72', 'seg_loss': '0.634', 'dino_loss': '0.916', 'depth_loss': '0.2633', 'vggt_mse_loss': '0.2614', 'vggt_cos_loss': '0.01951', 'pidinet_loss': '0.2708', 'siglip_loss': '0.6361', 'epoch': '0.2326'} + 72%|█████████████████████▌ | 6466/9000 [5:13:52<2:54:21, 4.13s/it][Dataset] cur_step=6467 phase=C_full_covt[Dataset] cur_step=6467 phase=C_full_covt +[Dataset] cur_step=6467 phase=C_full_covt + +[Dataset] cur_step=6467 phase=C_full_covt +[Dataset] cur_step=6467 phase=C_full_covt + 72%|█████████████████████▌ | 6467/9000 [5:13:52<2:52:23, 4.08s/it][Dataset] cur_step=6467 phase=C_full_covt +[Dataset] cur_step=6467 phase=C_full_covt +[Dataset] cur_step=6467 phase=C_full_covt + {'loss': '3.225', 'grad_norm': '3.349', 'learning_rate': '1.007e-05', 'epoch': '0.2327'} + 72%|█████████████████████▌ | 6467/9000 [5:13:52<2:52:23, 4.08s/it] {'lm_loss': '0.4484', 'visual_loss': '2.536', 'seg_loss': '0.6147', 'dino_loss': '0.9175', 'depth_loss': '0.2845', 'vggt_mse_loss': '0.282', 'vggt_cos_loss': '0.0252', 'pidinet_loss': '0.2143', 'siglip_loss': '0.5051', 'epoch': '0.2327'} + 72%|█████████████████████▌ | 6467/9000 [5:13:55<2:52:23, 4.08s/it][Dataset] cur_step=6468 phase=C_full_covt +[Dataset] cur_step=6468 phase=C_full_covt +[Dataset] cur_step=6468 phase=C_full_covt +[Dataset] cur_step=6468 phase=C_full_covt +[Dataset] cur_step=6468 phase=C_full_covt +[Dataset] cur_step=6468 phase=C_full_covt[Dataset] cur_step=6468 phase=C_full_covt + + 72%|█████████████████████▌ | 6468/9000 [5:13:56<2:51:22, 4.06s/it][Dataset] cur_step=6468 phase=C_full_covt + {'loss': '3.021', 'grad_norm': '4.895', 'learning_rate': '1.006e-05', 'epoch': '0.2327'} + 72%|█████████████████████▌ | 6468/9000 [5:13:56<2:51:22, 4.06s/it] {'lm_loss': '0.3148', 'visual_loss': '2.854', 'seg_loss': '0.8304', 'dino_loss': '0.8931', 'depth_loss': '0.1934', 'vggt_mse_loss': '0.1922', 'vggt_cos_loss': '0.01188', 'pidinet_loss': '0.2698', 'siglip_loss': '0.6673', 'epoch': '0.2327'} + 72%|█████████████████████▌ | 6468/9000 [5:13:59<2:51:22, 4.06s/it][Dataset] cur_step=6469 phase=C_full_covt +[Dataset] cur_step=6469 phase=C_full_covt +[Dataset] cur_step=6469 phase=C_full_covt +[Dataset] cur_step=6469 phase=C_full_covt +[Dataset] cur_step=6469 phase=C_full_covt +[Dataset] cur_step=6469 phase=C_full_covt + 72%|█████████████████████▌ | 6469/9000 [5:14:00<2:54:11, 4.13s/it][Dataset] cur_step=6469 phase=C_full_covt +[Dataset] cur_step=6469 phase=C_full_covt + {'loss': '3.066', 'grad_norm': '1.68', 'learning_rate': '1.005e-05', 'epoch': '0.2327'} + 72%|█████████████████████▌ | 6469/9000 [5:14:00<2:54:11, 4.13s/it] {'lm_loss': '0.00427', 'visual_loss': '2.393', 'seg_loss': '0.7769', 'dino_loss': '0.8866', 'depth_loss': '0.2057', 'vggt_mse_loss': '0.2046', 'vggt_cos_loss': '0.01163', 'pidinet_loss': '0.1368', 'siglip_loss': '0.3869', 'epoch': '0.2327'} + 72%|█████████████████████▌ | 6469/9000 [5:14:04<2:54:11, 4.13s/it][Dataset] cur_step=6470 phase=C_full_covt +[Dataset] cur_step=6470 phase=C_full_covt +[Dataset] cur_step=6470 phase=C_full_covt[Dataset] cur_step=6470 phase=C_full_covt + +[Dataset] cur_step=6470 phase=C_full_covt +[Dataset] cur_step=6470 phase=C_full_covt[Dataset] cur_step=6470 phase=C_full_covt 72%|█████████████████████▌ | 6470/9000 [5:14:04<2:50:13, 4.04s/it] +[Dataset] cur_step=6470 phase=C_full_covt + + {'loss': '3.043', 'grad_norm': '1.643', 'learning_rate': '1.005e-05', 'epoch': '0.2328'} + 72%|█████████████████████▌ | 6470/9000 [5:14:04<2:50:13, 4.04s/it] {'lm_loss': '0.001585', 'visual_loss': '2.535', 'seg_loss': '0.5848', 'dino_loss': '0.8935', 'depth_loss': '0.2542', 'vggt_mse_loss': '0.2522', 'vggt_cos_loss': '0.02079', 'pidinet_loss': '0.2822', 'siglip_loss': '0.5199', 'epoch': '0.2328'} + 72%|█████████████████████▌ | 6470/9000 [5:14:08<2:50:13, 4.04s/it][Dataset] cur_step=6471 phase=C_full_covt[Dataset] cur_step=6471 phase=C_full_covt[Dataset] cur_step=6471 phase=C_full_covt + +[Dataset] cur_step=6471 phase=C_full_covt + +[Dataset] cur_step=6471 phase=C_full_covt +[Dataset] cur_step=6471 phase=C_full_covt 72%|█████████████████████▌ | 6471/9000 [5:14:08<2:51:44, 4.07s/it] +[Dataset] cur_step=6471 phase=C_full_covt +[Dataset] cur_step=6471 phase=C_full_covt + {'loss': '3.103', 'grad_norm': '4.879', 'learning_rate': '1.004e-05', 'epoch': '0.2328'} + 72%|█████████████████████▌ | 6471/9000 [5:14:08<2:51:44, 4.07s/it] {'lm_loss': '0.42', 'visual_loss': '2.818', 'seg_loss': '0.8023', 'dino_loss': '0.9223', 'depth_loss': '0.2138', 'vggt_mse_loss': '0.2125', 'vggt_cos_loss': '0.01344', 'pidinet_loss': '0.2242', 'siglip_loss': '0.6549', 'epoch': '0.2328'} + 72%|█████████████████████▌ | 6471/9000 [5:14:11<2:51:44, 4.07s/it][Dataset] cur_step=6472 phase=C_full_covt +[Dataset] cur_step=6472 phase=C_full_covt[Dataset] cur_step=6472 phase=C_full_covt + +[Dataset] cur_step=6472 phase=C_full_covt +[Dataset] cur_step=6472 phase=C_full_covt[Dataset] cur_step=6472 phase=C_full_covt + +[Dataset] cur_step=6472 phase=C_full_covt + 72%|█████████████████████▌ | 6472/9000 [5:14:13<2:55:03, 4.16s/it][Dataset] cur_step=6472 phase=C_full_covt + {'loss': '3.153', 'grad_norm': '3.953', 'learning_rate': '1.003e-05', 'epoch': '0.2328'} + 72%|█████████████████████▌ | 6472/9000 [5:14:13<2:55:03, 4.16s/it] {'lm_loss': '0.5179', 'visual_loss': '2.783', 'seg_loss': '0.7886', 'dino_loss': '0.913', 'depth_loss': '0.2554', 'vggt_mse_loss': '0.2537', 'vggt_cos_loss': '0.01694', 'pidinet_loss': '0.2935', 'siglip_loss': '0.5326', 'epoch': '0.2328'} + 72%|█████████████████████▌ | 6472/9000 [5:14:16<2:55:03, 4.16s/it][Dataset] cur_step=6473 phase=C_full_covt[Dataset] cur_step=6473 phase=C_full_covt + +[Dataset] cur_step=6473 phase=C_full_covt +[Dataset] cur_step=6473 phase=C_full_covt +[Dataset] cur_step=6473 phase=C_full_covt +[Dataset] cur_step=6473 phase=C_full_covt +[Dataset] cur_step=6473 phase=C_full_covt 72%|█████████████████████▌ | 6473/9000 [5:14:19<3:26:40, 4.91s/it] +[Dataset] cur_step=6473 phase=C_full_covt + {'loss': '3.074', 'grad_norm': '2.021', 'learning_rate': '1.002e-05', 'epoch': '0.2329'} + 72%|█████████████████████▌ | 6473/9000 [5:14:19<3:26:40, 4.91s/it] {'lm_loss': '0.4969', 'visual_loss': '2.59', 'seg_loss': '0.6046', 'dino_loss': '0.9192', 'depth_loss': '0.3148', 'vggt_mse_loss': '0.3122', 'vggt_cos_loss': '0.02597', 'pidinet_loss': '0.2486', 'siglip_loss': '0.5032', 'epoch': '0.2329'} + 72%|█████████████████████▌ | 6473/9000 [5:14:23<3:26:40, 4.91s/it][Dataset] cur_step=6474 phase=C_full_covt +[Dataset] cur_step=6474 phase=C_full_covt[Dataset] cur_step=6474 phase=C_full_covt[Dataset] cur_step=6474 phase=C_full_covt + + + 72%|█████████████████████▌ | 6474/9000 [5:14:23<3:14:07, 4.61s/it][Dataset] cur_step=6474 phase=C_full_covt +[Dataset] cur_step=6474 phase=C_full_covt +[Dataset] cur_step=6474 phase=C_full_covt +[Dataset] cur_step=6474 phase=C_full_covt + {'loss': '3.057', 'grad_norm': '4.096', 'learning_rate': '1.002e-05', 'epoch': '0.2329'} + 72%|█████████████████████▌ | 6474/9000 [5:14:23<3:14:07, 4.61s/it] {'lm_loss': '0.003783', 'visual_loss': '2.534', 'seg_loss': '0.6616', 'dino_loss': '0.9279', 'depth_loss': '0.2365', 'vggt_mse_loss': '0.235', 'vggt_cos_loss': '0.01498', 'pidinet_loss': '0.2914', 'siglip_loss': '0.4162', 'epoch': '0.2329'} + 72%|█████████████████████▌ | 6474/9000 [5:14:27<3:14:07, 4.61s/it][Dataset] cur_step=6475 phase=C_full_covt +[Dataset] cur_step=6475 phase=C_full_covt +[Dataset] cur_step=6475 phase=C_full_covt[Dataset] cur_step=6475 phase=C_full_covt + +[Dataset] cur_step=6475 phase=C_full_covt +[Dataset] cur_step=6475 phase=C_full_covt[Dataset] cur_step=6475 phase=C_full_covt + +[Dataset] cur_step=6475 phase=C_full_covt + 72%|█████████████████████▌ | 6475/9000 [5:14:27<3:09:03, 4.49s/it] {'loss': '3.109', 'grad_norm': '1.929', 'learning_rate': '1.001e-05', 'epoch': '0.2329'} + 72%|█████████████████████▌ | 6475/9000 [5:14:27<3:09:03, 4.49s/it] {'lm_loss': '0.0007032', 'visual_loss': '2.74', 'seg_loss': '0.7624', 'dino_loss': '0.9265', 'depth_loss': '0.2733', 'vggt_mse_loss': '0.271', 'vggt_cos_loss': '0.02289', 'pidinet_loss': '0.2287', 'siglip_loss': '0.5493', 'epoch': '0.2329'} + 72%|█████████████████████▌ | 6475/9000 [5:14:31<3:09:03, 4.49s/it][Dataset] cur_step=6476 phase=C_full_covt +[Dataset] cur_step=6476 phase=C_full_covt +[Dataset] cur_step=6476 phase=C_full_covt[Dataset] cur_step=6476 phase=C_full_covt +[Dataset] cur_step=6476 phase=C_full_covt + + 72%|█████████████████████▌ | 6476/9000 [5:14:32<3:04:56, 4.40s/it][Dataset] cur_step=6476 phase=C_full_covt +[Dataset] cur_step=6476 phase=C_full_covt +[Dataset] cur_step=6476 phase=C_full_covt + {'loss': '3.074', 'grad_norm': '5.01', 'learning_rate': '1e-05', 'epoch': '0.233'} + 72%|█████████████████████▌ | 6476/9000 [5:14:32<3:04:56, 4.40s/it] {'lm_loss': '0.4401', 'visual_loss': '2.581', 'seg_loss': '0.6926', 'dino_loss': '0.9139', 'depth_loss': '0.2878', 'vggt_mse_loss': '0.2856', 'vggt_cos_loss': '0.02196', 'pidinet_loss': '0.2586', 'siglip_loss': '0.4283', 'epoch': '0.233'} + 72%|█████████████████████▌ | 6476/9000 [5:14:35<3:04:56, 4.40s/it][Dataset] cur_step=6477 phase=C_full_covt + 72%|█████████████████████▌ | 6477/9000 [5:14:36<3:01:04, 4.31s/it][Dataset] cur_step=6477 phase=C_full_covt +[Dataset] cur_step=6477 phase=C_full_covt +[Dataset] cur_step=6477 phase=C_full_covt +[Dataset] cur_step=6477 phase=C_full_covt +[Dataset] cur_step=6477 phase=C_full_covt +[Dataset] cur_step=6477 phase=C_full_covt +[Dataset] cur_step=6477 phase=C_full_covt + {'loss': '3.185', 'grad_norm': '1.939', 'learning_rate': '9.995e-06', 'epoch': '0.233'} + 72%|█████████████████████▌ | 6477/9000 [5:14:36<3:01:04, 4.31s/it] {'lm_loss': '0.5776', 'visual_loss': '2.553', 'seg_loss': '0.6702', 'dino_loss': '0.8935', 'depth_loss': '0.1974', 'vggt_mse_loss': '0.1959', 'vggt_cos_loss': '0.01511', 'pidinet_loss': '0.2632', 'siglip_loss': '0.5289', 'epoch': '0.233'} + 72%|█████████████████████▌ | 6477/9000 [5:14:39<3:01:04, 4.31s/it][Dataset] cur_step=6478 phase=C_full_covt +[Dataset] cur_step=6478 phase=C_full_covt +[Dataset] cur_step=6478 phase=C_full_covt +[Dataset] cur_step=6478 phase=C_full_covt +[Dataset] cur_step=6478 phase=C_full_covt +[Dataset] cur_step=6478 phase=C_full_covt +[Dataset] cur_step=6478 phase=C_full_covt +[Dataset] cur_step=6478 phase=C_full_covt + 72%|█████████████████████▌ | 6478/9000 [5:14:40<2:58:22, 4.24s/it] {'loss': '2.952', 'grad_norm': '1.548', 'learning_rate': '9.988e-06', 'epoch': '0.233'} + 72%|█████████████████████▌ | 6478/9000 [5:14:40<2:58:22, 4.24s/it] {'lm_loss': '0.003526', 'visual_loss': '2.974', 'seg_loss': '0.8257', 'dino_loss': '0.951', 'depth_loss': '0.2524', 'vggt_mse_loss': '0.2503', 'vggt_cos_loss': '0.02047', 'pidinet_loss': '0.27', 'siglip_loss': '0.6744', 'epoch': '0.233'} + 72%|█████████████████████▌ | 6478/9000 [5:14:43<2:58:22, 4.24s/it][Dataset] cur_step=6479 phase=C_full_covt[Dataset] cur_step=6479 phase=C_full_covt +[Dataset] cur_step=6479 phase=C_full_covt +[Dataset] cur_step=6479 phase=C_full_covt + + 72%|█████████████████████▌ | 6479/9000 [5:14:44<2:52:13, 4.10s/it][Dataset] cur_step=6479 phase=C_full_covt +[Dataset] cur_step=6479 phase=C_full_covt +[Dataset] cur_step=6479 phase=C_full_covt +[Dataset] cur_step=6479 phase=C_full_covt + {'loss': '3.09', 'grad_norm': '1.468', 'learning_rate': '9.98e-06', 'epoch': '0.2331'} + 72%|█████████████████████▌ | 6479/9000 [5:14:44<2:52:13, 4.10s/it] {'lm_loss': '0.2773', 'visual_loss': '2.423', 'seg_loss': '0.4798', 'dino_loss': '0.9006', 'depth_loss': '0.3518', 'vggt_mse_loss': '0.3493', 'vggt_cos_loss': '0.02574', 'pidinet_loss': '0.248', 'siglip_loss': '0.4428', 'epoch': '0.2331'} + 72%|█████████████████████▌ | 6479/9000 [5:14:47<2:52:13, 4.10s/it][Dataset] cur_step=6480 phase=C_full_covt[Dataset] cur_step=6480 phase=C_full_covt + +[Dataset] cur_step=6480 phase=C_full_covt +[Dataset] cur_step=6480 phase=C_full_covt +[Dataset] cur_step=6480 phase=C_full_covt +[Dataset] cur_step=6480 phase=C_full_covt +[Dataset] cur_step=6480 phase=C_full_covt[Dataset] cur_step=6480 phase=C_full_covt + + 72%|█████████████████████▌ | 6480/9000 [5:14:48<2:51:04, 4.07s/it] {'loss': '3.074', 'grad_norm': '1.816', 'learning_rate': '9.973e-06', 'epoch': '0.2331'} + 72%|█████████████████████▌ | 6480/9000 [5:14:48<2:51:04, 4.07s/it] {'lm_loss': '0.6471', 'visual_loss': '2.536', 'seg_loss': '0.7866', 'dino_loss': '0.8874', 'depth_loss': '0.2804', 'vggt_mse_loss': '0.2784', 'vggt_cos_loss': '0.02038', 'pidinet_loss': '0.1848', 'siglip_loss': '0.3971', 'epoch': '0.2331'} + 72%|█████████████████████▌ | 6480/9000 [5:14:51<2:51:04, 4.07s/it][Dataset] cur_step=6481 phase=C_full_covt +[Dataset] cur_step=6481 phase=C_full_covt +[Dataset] cur_step=6481 phase=C_full_covt +[Dataset] cur_step=6481 phase=C_full_covt +[Dataset] cur_step=6481 phase=C_full_covt +[Dataset] cur_step=6481 phase=C_full_covt[Dataset] cur_step=6481 phase=C_full_covt + + 72%|█████████████████████▌ | 6481/9000 [5:14:54<3:18:19, 4.72s/it][Dataset] cur_step=6481 phase=C_full_covt + {'loss': '3.135', 'grad_norm': '1.931', 'learning_rate': '9.966e-06', 'epoch': '0.2332'} + 72%|█████████████████████▌ | 6481/9000 [5:14:54<3:18:19, 4.72s/it] {'lm_loss': '0.01589', 'visual_loss': '2.432', 'seg_loss': '0.654', 'dino_loss': '0.8849', 'depth_loss': '0.2886', 'vggt_mse_loss': '0.2863', 'vggt_cos_loss': '0.02306', 'pidinet_loss': '0.2065', 'siglip_loss': '0.3976', 'epoch': '0.2332'} + 72%|█████████████████████▌ | 6481/9000 [5:14:57<3:18:19, 4.72s/it][Dataset] cur_step=6482 phase=C_full_covt +[Dataset] cur_step=6482 phase=C_full_covt +[Dataset] cur_step=6482 phase=C_full_covt +[Dataset] cur_step=6482 phase=C_full_covt +[Dataset] cur_step=6482 phase=C_full_covt[Dataset] cur_step=6482 phase=C_full_covt + +[Dataset] cur_step=6482 phase=C_full_covt[Dataset] cur_step=6482 phase=C_full_covt + + 72%|█████████████████████▌ | 6482/9000 [5:14:58<3:11:27, 4.56s/it] {'loss': '2.853', 'grad_norm': '2.055', 'learning_rate': '9.958e-06', 'epoch': '0.2332'} + 72%|█████████████████████▌ | 6482/9000 [5:14:58<3:11:27, 4.56s/it] {'lm_loss': '0.8709', 'visual_loss': '2.859', 'seg_loss': '0.819', 'dino_loss': '0.9085', 'depth_loss': '0.2793', 'vggt_mse_loss': '0.2765', 'vggt_cos_loss': '0.02835', 'pidinet_loss': '0.2391', 'siglip_loss': '0.6128', 'epoch': '0.2332'} + 72%|█████████████████████▌ | 6482/9000 [5:15:01<3:11:27, 4.56s/it][Dataset] cur_step=6483 phase=C_full_covt[Dataset] cur_step=6483 phase=C_full_covt + +[Dataset] cur_step=6483 phase=C_full_covt[Dataset] cur_step=6483 phase=C_full_covt + +[Dataset] cur_step=6483 phase=C_full_covt + 72%|█████████████████████▌ | 6483/9000 [5:15:02<3:03:12, 4.37s/it][Dataset] cur_step=6483 phase=C_full_covt +[Dataset] cur_step=6483 phase=C_full_covt +[Dataset] cur_step=6483 phase=C_full_covt + {'loss': '3.25', 'grad_norm': '2.749', 'learning_rate': '9.951e-06', 'epoch': '0.2332'} + 72%|█████████████████████▌ | 6483/9000 [5:15:02<3:03:12, 4.37s/it] {'lm_loss': '0.3953', 'visual_loss': '2.511', 'seg_loss': '0.7041', 'dino_loss': '0.9114', 'depth_loss': '0.2836', 'vggt_mse_loss': '0.2815', 'vggt_cos_loss': '0.02089', 'pidinet_loss': '0.1838', 'siglip_loss': '0.4286', 'epoch': '0.2332'} + 72%|█████████████████████▌ | 6483/9000 [5:15:05<3:03:12, 4.37s/it][Dataset] cur_step=6484 phase=C_full_covt +[Dataset] cur_step=6484 phase=C_full_covt +[Dataset] cur_step=6484 phase=C_full_covt +[Dataset] cur_step=6484 phase=C_full_covt 72%|█████████████████████▌ | 6484/9000 [5:15:06<2:58:10, 4.25s/it] +[Dataset] cur_step=6484 phase=C_full_covt +[Dataset] cur_step=6484 phase=C_full_covt +[Dataset] cur_step=6484 phase=C_full_covt +[Dataset] cur_step=6484 phase=C_full_covt + {'loss': '3.123', 'grad_norm': '2.14', 'learning_rate': '9.944e-06', 'epoch': '0.2333'} + 72%|█████████████████████▌ | 6484/9000 [5:15:06<2:58:10, 4.25s/it] {'lm_loss': '0.2313', 'visual_loss': '2.383', 'seg_loss': '0.6323', 'dino_loss': '0.9124', 'depth_loss': '0.2645', 'vggt_mse_loss': '0.2627', 'vggt_cos_loss': '0.0189', 'pidinet_loss': '0.1948', 'siglip_loss': '0.379', 'epoch': '0.2333'} + 72%|█████████████████████▌ | 6484/9000 [5:15:09<2:58:10, 4.25s/it][Dataset] cur_step=6485 phase=C_full_covt +[Dataset] cur_step=6485 phase=C_full_covt +[Dataset] cur_step=6485 phase=C_full_covt + 72%|█████████████████████▌ | 6485/9000 [5:15:10<2:55:26, 4.19s/it][Dataset] cur_step=6485 phase=C_full_covt +[Dataset] cur_step=6485 phase=C_full_covt +[Dataset] cur_step=6485 phase=C_full_covt +[Dataset] cur_step=6485 phase=C_full_covt +[Dataset] cur_step=6485 phase=C_full_covt + {'loss': '3.025', 'grad_norm': '1.824', 'learning_rate': '9.936e-06', 'epoch': '0.2333'} + 72%|█████████████████████▌ | 6485/9000 [5:15:10<2:55:26, 4.19s/it] {'lm_loss': '0.6104', 'visual_loss': '2.811', 'seg_loss': '0.7841', 'dino_loss': '0.9', 'depth_loss': '0.2262', 'vggt_mse_loss': '0.2247', 'vggt_cos_loss': '0.01531', 'pidinet_loss': '0.218', 'siglip_loss': '0.6825', 'epoch': '0.2333'} + 72%|█████████████████████▌ | 6485/9000 [5:15:13<2:55:26, 4.19s/it][Dataset] cur_step=6486 phase=C_full_covt +[Dataset] cur_step=6486 phase=C_full_covt +[Dataset] cur_step=6486 phase=C_full_covt +[Dataset] cur_step=6486 phase=C_full_covt[Dataset] cur_step=6486 phase=C_full_covt +[Dataset] cur_step=6486 phase=C_full_covt + +[Dataset] cur_step=6486 phase=C_full_covt + 72%|█████████████████████▌ | 6486/9000 [5:15:14<2:53:04, 4.13s/it][Dataset] cur_step=6486 phase=C_full_covt + {'loss': '3.28', 'grad_norm': '2.652', 'learning_rate': '9.929e-06', 'epoch': '0.2333'} + 72%|█████████████████████▌ | 6486/9000 [5:15:14<2:53:04, 4.13s/it] {'lm_loss': '0.2679', 'visual_loss': '1.881', 'seg_loss': '0.5219', 'dino_loss': '0.8621', 'depth_loss': '0.1421', 'vggt_mse_loss': '0.1414', 'vggt_cos_loss': '0.006803', 'pidinet_loss': '0.102', 'siglip_loss': '0.2527', 'epoch': '0.2333'} + 72%|█████████████████████▌ | 6486/9000 [5:15:18<2:53:04, 4.13s/it][Dataset] cur_step=6487 phase=C_full_covt +[Dataset] cur_step=6487 phase=C_full_covt 72%|█████████████████████▌ | 6487/9000 [5:15:18<2:53:23, 4.14s/it] +[Dataset] cur_step=6487 phase=C_full_covt +[Dataset] cur_step=6487 phase=C_full_covt +[Dataset] cur_step=6487 phase=C_full_covt[Dataset] cur_step=6487 phase=C_full_covt + +[Dataset] cur_step=6487 phase=C_full_covt +[Dataset] cur_step=6487 phase=C_full_covt + {'loss': '3.027', 'grad_norm': '1.767', 'learning_rate': '9.922e-06', 'epoch': '0.2334'} + 72%|█████████████████████▌ | 6487/9000 [5:15:18<2:53:23, 4.14s/it] {'lm_loss': '0.8283', 'visual_loss': '2.947', 'seg_loss': '0.7974', 'dino_loss': '0.9062', 'depth_loss': '0.2214', 'vggt_mse_loss': '0.2198', 'vggt_cos_loss': '0.01604', 'pidinet_loss': '0.2934', 'siglip_loss': '0.7281', 'epoch': '0.2334'} + 72%|█████████████████████▌ | 6487/9000 [5:15:21<2:53:23, 4.14s/it][Dataset] cur_step=6488 phase=C_full_covt +[Dataset] cur_step=6488 phase=C_full_covt +[Dataset] cur_step=6488 phase=C_full_covt +[Dataset] cur_step=6488 phase=C_full_covt +[Dataset] cur_step=6488 phase=C_full_covt[Dataset] cur_step=6488 phase=C_full_covt + +[Dataset] cur_step=6488 phase=C_full_covt +[Dataset] cur_step=6488 phase=C_full_covt + 72%|█████████████████████▋ | 6488/9000 [5:15:22<2:52:50, 4.13s/it] {'loss': '3.106', 'grad_norm': '1.811', 'learning_rate': '9.914e-06', 'epoch': '0.2334'} + 72%|█████████████████████▋ | 6488/9000 [5:15:22<2:52:50, 4.13s/it] {'lm_loss': '0.4476', 'visual_loss': '2.451', 'seg_loss': '0.6363', 'dino_loss': '0.8949', 'depth_loss': '0.1898', 'vggt_mse_loss': '0.1886', 'vggt_cos_loss': '0.01189', 'pidinet_loss': '0.2337', 'siglip_loss': '0.4963', 'epoch': '0.2334'} + 72%|█████████████████████▋ | 6488/9000 [5:15:25<2:52:50, 4.13s/it][Dataset] cur_step=6489 phase=C_full_covt +[Dataset] cur_step=6489 phase=C_full_covt +[Dataset] cur_step=6489 phase=C_full_covt +[Dataset] cur_step=6489 phase=C_full_covt +[Dataset] cur_step=6489 phase=C_full_covt +[Dataset] cur_step=6489 phase=C_full_covt +[Dataset] cur_step=6489 phase=C_full_covt + 72%|█████████████████████▋ | 6489/9000 [5:15:29<3:22:24, 4.84s/it][Dataset] cur_step=6489 phase=C_full_covt + {'loss': '3.028', 'grad_norm': '1.4', 'learning_rate': '9.907e-06', 'epoch': '0.2334'} + 72%|█████████████████████▋ | 6489/9000 [5:15:29<3:22:24, 4.84s/it] {'lm_loss': '0.01481', 'visual_loss': '2.588', 'seg_loss': '0.7452', 'dino_loss': '0.8924', 'depth_loss': '0.2194', 'vggt_mse_loss': '0.2178', 'vggt_cos_loss': '0.0161', 'pidinet_loss': '0.2278', 'siglip_loss': '0.5031', 'epoch': '0.2334'} + 72%|█████████████████████▋ | 6489/9000 [5:15:31<3:22:24, 4.84s/it][Dataset] cur_step=6490 phase=C_full_covt +[Dataset] cur_step=6490 phase=C_full_covt +[Dataset] cur_step=6490 phase=C_full_covt +[Dataset] cur_step=6490 phase=C_full_covt +[Dataset] cur_step=6490 phase=C_full_covt +[Dataset] cur_step=6490 phase=C_full_covt +[Dataset] cur_step=6490 phase=C_full_covt +[Dataset] cur_step=6490 phase=C_full_covt + 72%|█████████████████████▋ | 6490/9000 [5:15:33<3:11:36, 4.58s/it] {'loss': '3.132', 'grad_norm': '1.476', 'learning_rate': '9.9e-06', 'epoch': '0.2335'} + 72%|█████████████████████▋ | 6490/9000 [5:15:33<3:11:36, 4.58s/it] {'lm_loss': '0.4242', 'visual_loss': '2.79', 'seg_loss': '0.7111', 'dino_loss': '0.9286', 'depth_loss': '0.2215', 'vggt_mse_loss': '0.2196', 'vggt_cos_loss': '0.01806', 'pidinet_loss': '0.2889', 'siglip_loss': '0.6401', 'epoch': '0.2335'} + 72%|█████████████████████▋ | 6490/9000 [5:15:36<3:11:36, 4.58s/it][Dataset] cur_step=6491 phase=C_full_covt +[Dataset] cur_step=6491 phase=C_full_covt +[Dataset] cur_step=6491 phase=C_full_covt[Dataset] cur_step=6491 phase=C_full_covt + +[Dataset] cur_step=6491 phase=C_full_covt +[Dataset] cur_step=6491 phase=C_full_covt[Dataset] cur_step=6491 phase=C_full_covt + +[Dataset] cur_step=6491 phase=C_full_covt + 72%|█████████████████████▋ | 6491/9000 [5:15:37<3:06:50, 4.47s/it] {'loss': '3.015', 'grad_norm': '1.708', 'learning_rate': '9.892e-06', 'epoch': '0.2335'} + 72%|█████████████████████▋ | 6491/9000 [5:15:37<3:06:50, 4.47s/it] {'lm_loss': '0.7365', 'visual_loss': '2.482', 'seg_loss': '0.6646', 'dino_loss': '0.8909', 'depth_loss': '0.2159', 'vggt_mse_loss': '0.2148', 'vggt_cos_loss': '0.01119', 'pidinet_loss': '0.2188', 'siglip_loss': '0.4914', 'epoch': '0.2335'} + 72%|█████████████████████▋ | 6491/9000 [5:15:40<3:06:50, 4.47s/it][Dataset] cur_step=6492 phase=C_full_covt +[Dataset] cur_step=6492 phase=C_full_covt +[Dataset] cur_step=6492 phase=C_full_covt + 72%|█████████████████████▋ | 6492/9000 [5:15:43<3:30:35, 5.04s/it][Dataset] cur_step=6492 phase=C_full_covt[Dataset] cur_step=6492 phase=C_full_covt + +[Dataset] cur_step=6492 phase=C_full_covt +[Dataset] cur_step=6492 phase=C_full_covt +[Dataset] cur_step=6492 phase=C_full_covt + {'loss': '3.009', 'grad_norm': '1.635', 'learning_rate': '9.885e-06', 'epoch': '0.2336'} + 72%|█████████████████████▋ | 6492/9000 [5:15:43<3:30:35, 5.04s/it] {'lm_loss': '0.6743', 'visual_loss': '2.742', 'seg_loss': '0.7217', 'dino_loss': '0.9165', 'depth_loss': '0.1637', 'vggt_mse_loss': '0.1626', 'vggt_cos_loss': '0.01068', 'pidinet_loss': '0.2691', 'siglip_loss': '0.6707', 'epoch': '0.2336'} + 72%|█████████████████████▋ | 6492/9000 [5:15:46<3:30:35, 5.04s/it][Dataset] cur_step=6493 phase=C_full_covt +[Dataset] cur_step=6493 phase=C_full_covt[Dataset] cur_step=6493 phase=C_full_covt + +[Dataset] cur_step=6493 phase=C_full_covt +[Dataset] cur_step=6493 phase=C_full_covt +[Dataset] cur_step=6493 phase=C_full_covt +[Dataset] cur_step=6493 phase=C_full_covt +[Dataset] cur_step=6493 phase=C_full_covt 72%|█████████████████████▋ | 6493/9000 [5:15:47<3:15:58, 4.69s/it] + {'loss': '3.255', 'grad_norm': '6.273', 'learning_rate': '9.878e-06', 'epoch': '0.2336'} + 72%|█████████████████████▋ | 6493/9000 [5:15:47<3:15:58, 4.69s/it] {'lm_loss': '0.3235', 'visual_loss': '2.517', 'seg_loss': '0.6825', 'dino_loss': '0.8828', 'depth_loss': '0.2486', 'vggt_mse_loss': '0.2472', 'vggt_cos_loss': '0.01413', 'pidinet_loss': '0.1887', 'siglip_loss': '0.5145', 'epoch': '0.2336'} + 72%|█████████████████████▋ | 6493/9000 [5:15:51<3:15:58, 4.69s/it][Dataset] cur_step=6494 phase=C_full_covt +[Dataset] cur_step=6494 phase=C_full_covt +[Dataset] cur_step=6494 phase=C_full_covt[Dataset] cur_step=6494 phase=C_full_covt + + 72%|█████████████████████▋ | 6494/9000 [5:15:53<3:35:48, 5.17s/it][Dataset] cur_step=6494 phase=C_full_covt +[Dataset] cur_step=6494 phase=C_full_covt +[Dataset] cur_step=6494 phase=C_full_covt +[Dataset] cur_step=6494 phase=C_full_covt + {'loss': '3.064', 'grad_norm': '2.27', 'learning_rate': '9.87e-06', 'epoch': '0.2336'} + 72%|█████████████████████▋ | 6494/9000 [5:15:53<3:35:48, 5.17s/it] {'lm_loss': '0.05316', 'visual_loss': '2.684', 'seg_loss': '0.693', 'dino_loss': '0.8999', 'depth_loss': '0.2474', 'vggt_mse_loss': '0.2461', 'vggt_cos_loss': '0.01293', 'pidinet_loss': '0.2716', 'siglip_loss': '0.5717', 'epoch': '0.2336'} + 72%|█████████████████████▋ | 6494/9000 [5:15:56<3:35:48, 5.17s/it][Dataset] cur_step=6495 phase=C_full_covt +[Dataset] cur_step=6495 phase=C_full_covt[Dataset] cur_step=6495 phase=C_full_covt + +[Dataset] cur_step=6495 phase=C_full_covt + 72%|█████████████████████▋ | 6495/9000 [5:15:57<3:21:11, 4.82s/it][Dataset] cur_step=6495 phase=C_full_covt +[Dataset] cur_step=6495 phase=C_full_covt +[Dataset] cur_step=6495 phase=C_full_covt[Dataset] cur_step=6495 phase=C_full_covt + + {'loss': '2.968', 'grad_norm': '1.653', 'learning_rate': '9.863e-06', 'epoch': '0.2337'} + 72%|█████████████████████▋ | 6495/9000 [5:15:57<3:21:11, 4.82s/it] {'lm_loss': '0.002316', 'visual_loss': '2.449', 'seg_loss': '0.6142', 'dino_loss': '0.884', 'depth_loss': '0.2265', 'vggt_mse_loss': '0.225', 'vggt_cos_loss': '0.01434', 'pidinet_loss': '0.2485', 'siglip_loss': '0.4756', 'epoch': '0.2337'} + 72%|█████████████████████▋ | 6495/9000 [5:16:02<3:21:11, 4.82s/it][Dataset] cur_step=6496 phase=C_full_covt + 72%|█████████████████████▋ | 6496/9000 [5:16:02<3:21:02, 4.82s/it][Dataset] cur_step=6496 phase=C_full_covt +[Dataset] cur_step=6496 phase=C_full_covt +[Dataset] cur_step=6496 phase=C_full_covt[Dataset] cur_step=6496 phase=C_full_covt[Dataset] cur_step=6496 phase=C_full_covt + + +[Dataset] cur_step=6496 phase=C_full_covt +[Dataset] cur_step=6496 phase=C_full_covt + {'loss': '3.264', 'grad_norm': '2.604', 'learning_rate': '9.856e-06', 'epoch': '0.2337'} + 72%|█████████████████████▋ | 6496/9000 [5:16:02<3:21:02, 4.82s/it] {'lm_loss': '0.4043', 'visual_loss': '2.946', 'seg_loss': '0.7936', 'dino_loss': '0.9204', 'depth_loss': '0.2561', 'vggt_mse_loss': '0.2544', 'vggt_cos_loss': '0.01623', 'pidinet_loss': '0.3085', 'siglip_loss': '0.667', 'epoch': '0.2337'} + 72%|█████████████████████▋ | 6496/9000 [5:16:05<3:21:02, 4.82s/it][Dataset] cur_step=6497 phase=C_full_covt +[Dataset] cur_step=6497 phase=C_full_covt[Dataset] cur_step=6497 phase=C_full_covt[Dataset] cur_step=6497 phase=C_full_covt + + +[Dataset] cur_step=6497 phase=C_full_covt +[Dataset] cur_step=6497 phase=C_full_covt[Dataset] cur_step=6497 phase=C_full_covt + +[Dataset] cur_step=6497 phase=C_full_covt + 72%|█████████████████████▋ | 6497/9000 [5:16:06<3:10:09, 4.56s/it] {'loss': '3.256', 'grad_norm': '2.328', 'learning_rate': '9.848e-06', 'epoch': '0.2337'} + 72%|█████████████████████▋ | 6497/9000 [5:16:06<3:10:09, 4.56s/it] {'lm_loss': '0.5825', 'visual_loss': '2.831', 'seg_loss': '0.8684', 'dino_loss': '0.9028', 'depth_loss': '0.2865', 'vggt_mse_loss': '0.2841', 'vggt_cos_loss': '0.02409', 'pidinet_loss': '0.1897', 'siglip_loss': '0.584', 'epoch': '0.2337'} + 72%|█████████████████████▋ | 6497/9000 [5:16:09<3:10:09, 4.56s/it][Dataset] cur_step=6498 phase=C_full_covt[Dataset] cur_step=6498 phase=C_full_covt[Dataset] cur_step=6498 phase=C_full_covt[Dataset] cur_step=6498 phase=C_full_covt + + + +[Dataset] cur_step=6498 phase=C_full_covt +[Dataset] cur_step=6498 phase=C_full_covt +[Dataset] cur_step=6498 phase=C_full_covt +[Dataset] cur_step=6498 phase=C_full_covt + 72%|█████████████████████▋ | 6498/9000 [5:16:10<3:02:27, 4.38s/it] {'loss': '3.084', 'grad_norm': '3.4', 'learning_rate': '9.841e-06', 'epoch': '0.2338'} + 72%|█████████████████████▋ | 6498/9000 [5:16:10<3:02:27, 4.38s/it] {'lm_loss': '0.3667', 'visual_loss': '2.916', 'seg_loss': '0.8268', 'dino_loss': '0.9199', 'depth_loss': '0.2504', 'vggt_mse_loss': '0.2484', 'vggt_cos_loss': '0.01968', 'pidinet_loss': '0.267', 'siglip_loss': '0.6519', 'epoch': '0.2338'} + 72%|█████████████████████▋ | 6498/9000 [5:16:13<3:02:27, 4.38s/it][Dataset] cur_step=6499 phase=C_full_covt +[Dataset] cur_step=6499 phase=C_full_covt[Dataset] cur_step=6499 phase=C_full_covt 72%|█████████████████████▋ | 6499/9000 [5:16:14<2:58:08, 4.27s/it] + +[Dataset] cur_step=6499 phase=C_full_covt +[Dataset] cur_step=6499 phase=C_full_covt +[Dataset] cur_step=6499 phase=C_full_covt +[Dataset] cur_step=6499 phase=C_full_covt +[Dataset] cur_step=6499 phase=C_full_covt + {'loss': '3.039', 'grad_norm': '2.625', 'learning_rate': '9.834e-06', 'epoch': '0.2338'} + 72%|█████████████████████▋ | 6499/9000 [5:16:14<2:58:08, 4.27s/it] {'lm_loss': '0.7497', 'visual_loss': '2.594', 'seg_loss': '0.7644', 'dino_loss': '0.8955', 'depth_loss': '0.1458', 'vggt_mse_loss': '0.1449', 'vggt_cos_loss': '0.008933', 'pidinet_loss': '0.1733', 'siglip_loss': '0.6151', 'epoch': '0.2338'} + 72%|█████████████████████▋ | 6499/9000 [5:16:17<2:58:08, 4.27s/it][Dataset] cur_step=6500 phase=C_full_covt +[Dataset] cur_step=6500 phase=C_full_covt +[Dataset] cur_step=6500 phase=C_full_covt +[Dataset] cur_step=6500 phase=C_full_covt[Dataset] cur_step=6500 phase=C_full_covt + +[Dataset] cur_step=6500 phase=C_full_covt +[Dataset] cur_step=6500 phase=C_full_covt +[Dataset] cur_step=6500 phase=C_full_covt +[cvbench] step=6500 metrics={"eval/cvbench_2d_accuracy": 0.772, "eval/cvbench_2d_count_accuracy": 0.6715328467153284, "eval/cvbench_2d_relation_accuracy": 0.8938053097345132, "eval/cvbench_2d_task_macro_accuracy": 0.7826690782249208, "eval/cvbench_3d_accuracy": 0.88, "eval/cvbench_3d_depth_accuracy": 0.944, "eval/cvbench_3d_distance_accuracy": 0.816, "eval/cvbench_3d_task_macro_accuracy": 0.8799999999999999, "eval/cvbench_accuracy": 0.826, "eval/cvbench_covt_answer_tag_rate": 1.0, "eval/cvbench_covt_any_anchor_rate": 1.0, "eval/cvbench_covt_depth_tokens_mean": 4.0, "eval/cvbench_covt_dino_tokens_mean": 4.0, "eval/cvbench_covt_pidinet_tokens_mean": 4.0, "eval/cvbench_covt_sam_tokens_mean": 8.0, "eval/cvbench_covt_siglip_tokens_mean": 4.0, "eval/cvbench_covt_think_rate": 1.0, "eval/cvbench_errors": 0.0, "eval/cvbench_parse_rate": 1.0, "eval/cvbench_samples": 500.0, "eval/cvbench_seconds": 304.96829600818455, "eval/cvbench_task_macro_accuracy": 0.8313345391124604} + 72%|████████████████████▉ | 6500/9000 [5:21:24<66:32:20, 95.82s/it] {'loss': '3.024', 'grad_norm': '2.142', 'learning_rate': '9.827e-06', 'epoch': '0.2338'} + 72%|████████████████████▉ | 6500/9000 [5:21:24<66:32:20, 95.82s/it] {'lm_loss': '0.283', 'visual_loss': '2.194', 'seg_loss': '0.6428', 'dino_loss': '0.8905', 'depth_loss': '0.2242', 'vggt_mse_loss': '0.223', 'vggt_cos_loss': '0.01215', 'pidinet_loss': '0.1577', 'siglip_loss': '0.2787', 'epoch': '0.2338'} + 72%|████████████████████▉ | 6500/9000 [5:21:28<66:32:20, 95.82s/it][Dataset] cur_step=6501 phase=C_full_covt + 72%|████████████████████▉ | 6501/9000 [5:21:28<47:30:51, 68.45s/it][Dataset] cur_step=6501 phase=C_full_covt +[Dataset] cur_step=6501 phase=C_full_covt +[Dataset] cur_step=6501 phase=C_full_covt +[Dataset] cur_step=6501 phase=C_full_covt[Dataset] cur_step=6501 phase=C_full_covt + +[Dataset] cur_step=6501 phase=C_full_covt +[Dataset] cur_step=6501 phase=C_full_covt + {'loss': '2.878', 'grad_norm': '1.991', 'learning_rate': '9.819e-06', 'epoch': '0.2339'} + 72%|████████████████████▉ | 6501/9000 [5:21:28<47:30:51, 68.45s/it] {'lm_loss': '0.2503', 'visual_loss': '2.734', 'seg_loss': '0.7305', 'dino_loss': '0.9361', 'depth_loss': '0.2602', 'vggt_mse_loss': '0.2582', 'vggt_cos_loss': '0.01984', 'pidinet_loss': '0.2358', 'siglip_loss': '0.5713', 'epoch': '0.2339'} + 72%|████████████████████▉ | 6501/9000 [5:21:31<47:30:51, 68.45s/it][Dataset] cur_step=6502 phase=C_full_covt +[Dataset] cur_step=6502 phase=C_full_covt +[Dataset] cur_step=6502 phase=C_full_covt +[Dataset] cur_step=6502 phase=C_full_covt +[Dataset] cur_step=6502 phase=C_full_covt +[Dataset] cur_step=6502 phase=C_full_covt + 72%|████████████████████▉ | 6502/9000 [5:21:32<34:06:06, 49.15s/it][Dataset] cur_step=6502 phase=C_full_covt +[Dataset] cur_step=6502 phase=C_full_covt + {'loss': '2.96', 'grad_norm': '5.343', 'learning_rate': '9.812e-06', 'epoch': '0.2339'} + 72%|████████████████████▉ | 6502/9000 [5:21:32<34:06:06, 49.15s/it] {'lm_loss': '0.2335', 'visual_loss': '2.267', 'seg_loss': '0.5405', 'dino_loss': '0.8873', 'depth_loss': '0.1943', 'vggt_mse_loss': '0.1929', 'vggt_cos_loss': '0.01404', 'pidinet_loss': '0.2245', 'siglip_loss': '0.4205', 'epoch': '0.2339'} + 72%|████████████████████▉ | 6502/9000 [5:21:36<34:06:06, 49.15s/it][Dataset] cur_step=6503 phase=C_full_covt +[Dataset] cur_step=6503 phase=C_full_covt +[Dataset] cur_step=6503 phase=C_full_covt +[Dataset] cur_step=6503 phase=C_full_covt +[Dataset] cur_step=6503 phase=C_full_covt +[Dataset] cur_step=6503 phase=C_full_covt +[Dataset] cur_step=6503 phase=C_full_covt +[Dataset] cur_step=6503 phase=C_full_covt + 72%|████████████████████▉ | 6503/9000 [5:21:39<25:12:08, 36.34s/it] {'loss': '2.754', 'grad_norm': '2.031', 'learning_rate': '9.805e-06', 'epoch': '0.2339'} + 72%|████████████████████▉ | 6503/9000 [5:21:39<25:12:08, 36.34s/it] {'lm_loss': '0.7348', 'visual_loss': '2.669', 'seg_loss': '0.7009', 'dino_loss': '0.9102', 'depth_loss': '0.3061', 'vggt_mse_loss': '0.304', 'vggt_cos_loss': '0.02125', 'pidinet_loss': '0.256', 'siglip_loss': '0.4962', 'epoch': '0.2339'} + 72%|████████████████████▉ | 6503/9000 [5:21:42<25:12:08, 36.34s/it][Dataset] cur_step=6504 phase=C_full_covt +[Dataset] cur_step=6504 phase=C_full_covt[Dataset] cur_step=6504 phase=C_full_covt + +[Dataset] cur_step=6504 phase=C_full_covt +[Dataset] cur_step=6504 phase=C_full_covt[Dataset] cur_step=6504 phase=C_full_covt + + 72%|████████████████████▉ | 6504/9000 [5:21:43<18:26:07, 26.59s/it][Dataset] cur_step=6504 phase=C_full_covt +[Dataset] cur_step=6504 phase=C_full_covt + {'loss': '3.305', 'grad_norm': '3.135', 'learning_rate': '9.797e-06', 'epoch': '0.234'} + 72%|████████████████████▉ | 6504/9000 [5:21:43<18:26:07, 26.59s/it] {'lm_loss': '0.4747', 'visual_loss': '2.469', 'seg_loss': '0.6396', 'dino_loss': '0.8951', 'depth_loss': '0.2718', 'vggt_mse_loss': '0.2701', 'vggt_cos_loss': '0.0165', 'pidinet_loss': '0.2187', 'siglip_loss': '0.4441', 'epoch': '0.234'} + 72%|████████████████████▉ | 6504/9000 [5:21:46<18:26:07, 26.59s/it][Dataset] cur_step=6505 phase=C_full_covt +[Dataset] cur_step=6505 phase=C_full_covt +[Dataset] cur_step=6505 phase=C_full_covt +[Dataset] cur_step=6505 phase=C_full_covt +[Dataset] cur_step=6505 phase=C_full_covt[Dataset] cur_step=6505 phase=C_full_covt + + 72%|████████████████████▉ | 6505/9000 [5:21:47<13:50:58, 19.98s/it][Dataset] cur_step=6505 phase=C_full_covt +[Dataset] cur_step=6505 phase=C_full_covt + {'loss': '3.133', 'grad_norm': '2.334', 'learning_rate': '9.79e-06', 'epoch': '0.234'} + 72%|████████████████████▉ | 6505/9000 [5:21:47<13:50:58, 19.98s/it] {'lm_loss': '0.972', 'visual_loss': '2.789', 'seg_loss': '0.7707', 'dino_loss': '0.9202', 'depth_loss': '0.1729', 'vggt_mse_loss': '0.1718', 'vggt_cos_loss': '0.01125', 'pidinet_loss': '0.2769', 'siglip_loss': '0.6481', 'epoch': '0.234'} + 72%|████████████████████▉ | 6505/9000 [5:21:51<13:50:58, 19.98s/it][Dataset] cur_step=6506 phase=C_full_covt +[Dataset] cur_step=6506 phase=C_full_covt + 72%|████████████████████▉ | 6506/9000 [5:21:53<10:59:01, 15.85s/it][Dataset] cur_step=6506 phase=C_full_covt[Dataset] cur_step=6506 phase=C_full_covt + +[Dataset] cur_step=6506 phase=C_full_covt +[Dataset] cur_step=6506 phase=C_full_covt +[Dataset] cur_step=6506 phase=C_full_covt +[Dataset] cur_step=6506 phase=C_full_covt + {'loss': '3.281', 'grad_norm': '3.574', 'learning_rate': '9.783e-06', 'epoch': '0.2341'} + 72%|████████████████████▉ | 6506/9000 [5:21:53<10:59:01, 15.85s/it] {'lm_loss': '0.3857', 'visual_loss': '2.688', 'seg_loss': '0.7099', 'dino_loss': '0.9085', 'depth_loss': '0.1985', 'vggt_mse_loss': '0.1975', 'vggt_cos_loss': '0.009824', 'pidinet_loss': '0.2265', 'siglip_loss': '0.6442', 'epoch': '0.2341'} + 72%|████████████████████▉ | 6506/9000 [5:21:57<10:59:01, 15.85s/it][Dataset] cur_step=6507 phase=C_full_covt +[Dataset] cur_step=6507 phase=C_full_covt +[Dataset] cur_step=6507 phase=C_full_covt[Dataset] cur_step=6507 phase=C_full_covt + +[Dataset] cur_step=6507 phase=C_full_covt 72%|█████████████████████▋ | 6507/9000 [5:21:57<8:29:59, 12.27s/it] +[Dataset] cur_step=6507 phase=C_full_covt[Dataset] cur_step=6507 phase=C_full_covt + +[Dataset] cur_step=6507 phase=C_full_covt + {'loss': '3.271', 'grad_norm': '2.432', 'learning_rate': '9.775e-06', 'epoch': '0.2341'} + 72%|█████████████████████▋ | 6507/9000 [5:21:57<8:29:59, 12.27s/it] {'lm_loss': '0.1832', 'visual_loss': '2.407', 'seg_loss': '0.6589', 'dino_loss': '0.9043', 'depth_loss': '0.2346', 'vggt_mse_loss': '0.2328', 'vggt_cos_loss': '0.01812', 'pidinet_loss': '0.1653', 'siglip_loss': '0.4439', 'epoch': '0.2341'} + 72%|█████████████████████▋ | 6507/9000 [5:22:01<8:29:59, 12.27s/it][Dataset] cur_step=6508 phase=C_full_covt +[Dataset] cur_step=6508 phase=C_full_covt[Dataset] cur_step=6508 phase=C_full_covt + + 72%|█████████████████████▋ | 6508/9000 [5:22:01<6:46:29, 9.79s/it][Dataset] cur_step=6508 phase=C_full_covt[Dataset] cur_step=6508 phase=C_full_covt +[Dataset] cur_step=6508 phase=C_full_covt + +[Dataset] cur_step=6508 phase=C_full_covt +[Dataset] cur_step=6508 phase=C_full_covt + {'loss': '3.042', 'grad_norm': '1.998', 'learning_rate': '9.768e-06', 'epoch': '0.2341'} + 72%|█████████████████████▋ | 6508/9000 [5:22:01<6:46:29, 9.79s/it] {'lm_loss': '0.5364', 'visual_loss': '2.705', 'seg_loss': '0.7178', 'dino_loss': '0.9059', 'depth_loss': '0.2109', 'vggt_mse_loss': '0.2093', 'vggt_cos_loss': '0.01544', 'pidinet_loss': '0.2662', 'siglip_loss': '0.6041', 'epoch': '0.2341'} + 72%|█████████████████████▋ | 6508/9000 [5:22:04<6:46:29, 9.79s/it][Dataset] cur_step=6509 phase=C_full_covt[Dataset] cur_step=6509 phase=C_full_covt + + 72%|█████████████████████▋ | 6509/9000 [5:22:05<5:33:27, 8.03s/it][Dataset] cur_step=6509 phase=C_full_covt +[Dataset] cur_step=6509 phase=C_full_covt +[Dataset] cur_step=6509 phase=C_full_covt +[Dataset] cur_step=6509 phase=C_full_covt +[Dataset] cur_step=6509 phase=C_full_covt +[Dataset] cur_step=6509 phase=C_full_covt + {'loss': '3.138', 'grad_norm': '1.457', 'learning_rate': '9.761e-06', 'epoch': '0.2342'} + 72%|█████████████████████▋ | 6509/9000 [5:22:05<5:33:27, 8.03s/it] {'lm_loss': '0.2361', 'visual_loss': '2.245', 'seg_loss': '0.6757', 'dino_loss': '0.8714', 'depth_loss': '0.2233', 'vggt_mse_loss': '0.2218', 'vggt_cos_loss': '0.01495', 'pidinet_loss': '0.2061', 'siglip_loss': '0.2681', 'epoch': '0.2342'} + 72%|█████████████████████▋ | 6509/9000 [5:22:09<5:33:27, 8.03s/it][Dataset] cur_step=6510 phase=C_full_covt +[Dataset] cur_step=6510 phase=C_full_covt + 72%|█████████████████████▋ | 6510/9000 [5:22:09<4:42:50, 6.82s/it][Dataset] cur_step=6510 phase=C_full_covt +[Dataset] cur_step=6510 phase=C_full_covt +[Dataset] cur_step=6510 phase=C_full_covt +[Dataset] cur_step=6510 phase=C_full_covt[Dataset] cur_step=6510 phase=C_full_covt + +[Dataset] cur_step=6510 phase=C_full_covt + {'loss': '3.116', 'grad_norm': '1.488', 'learning_rate': '9.754e-06', 'epoch': '0.2342'} + 72%|█████████████████████▋ | 6510/9000 [5:22:09<4:42:50, 6.82s/it] {'lm_loss': '0.4206', 'visual_loss': '2.622', 'seg_loss': '0.7407', 'dino_loss': '0.9075', 'depth_loss': '0.2266', 'vggt_mse_loss': '0.225', 'vggt_cos_loss': '0.01637', 'pidinet_loss': '0.2238', 'siglip_loss': '0.5232', 'epoch': '0.2342'} + 72%|█████████████████████▋ | 6510/9000 [5:22:12<4:42:50, 6.82s/it][Dataset] cur_step=6511 phase=C_full_covt +[Dataset] cur_step=6511 phase=C_full_covt +[Dataset] cur_step=6511 phase=C_full_covt +[Dataset] cur_step=6511 phase=C_full_covt +[Dataset] cur_step=6511 phase=C_full_covt +[Dataset] cur_step=6511 phase=C_full_covt + 72%|█████████████████████▋ | 6511/9000 [5:22:13<4:07:30, 5.97s/it][Dataset] cur_step=6511 phase=C_full_covt +[Dataset] cur_step=6511 phase=C_full_covt + {'loss': '3.28', 'grad_norm': '2.402', 'learning_rate': '9.746e-06', 'epoch': '0.2342'} + 72%|█████████████████████▋ | 6511/9000 [5:22:13<4:07:30, 5.97s/it] {'lm_loss': '0.254', 'visual_loss': '2.656', 'seg_loss': '0.6694', 'dino_loss': '0.9216', 'depth_loss': '0.2239', 'vggt_mse_loss': '0.2222', 'vggt_cos_loss': '0.01682', 'pidinet_loss': '0.3235', 'siglip_loss': '0.5175', 'epoch': '0.2342'} + 72%|█████████████████████▋ | 6511/9000 [5:22:17<4:07:30, 5.97s/it][Dataset] cur_step=6512 phase=C_full_covt +[Dataset] cur_step=6512 phase=C_full_covt[Dataset] cur_step=6512 phase=C_full_covt[Dataset] cur_step=6512 phase=C_full_covt + +[Dataset] cur_step=6512 phase=C_full_covt + + 72%|█████████████████████▋ | 6512/9000 [5:22:17<3:44:24, 5.41s/it][Dataset] cur_step=6512 phase=C_full_covt[Dataset] cur_step=6512 phase=C_full_covt + +[Dataset] cur_step=6512 phase=C_full_covt + {'loss': '3.079', 'grad_norm': '2.383', 'learning_rate': '9.739e-06', 'epoch': '0.2343'} + 72%|█████████████████████▋ | 6512/9000 [5:22:17<3:44:24, 5.41s/it] {'lm_loss': '0.4419', 'visual_loss': '2.78', 'seg_loss': '0.702', 'dino_loss': '0.9046', 'depth_loss': '0.3447', 'vggt_mse_loss': '0.3424', 'vggt_cos_loss': '0.02338', 'pidinet_loss': '0.25', 'siglip_loss': '0.5789', 'epoch': '0.2343'} + 72%|█████████████████████▋ | 6512/9000 [5:22:21<3:44:24, 5.41s/it][Dataset] cur_step=6513 phase=C_full_covt +[Dataset] cur_step=6513 phase=C_full_covt +[Dataset] cur_step=6513 phase=C_full_covt +[Dataset] cur_step=6513 phase=C_full_covt[Dataset] cur_step=6513 phase=C_full_covt[Dataset] cur_step=6513 phase=C_full_covt + + + 72%|█████████████████████▋ | 6513/9000 [5:22:21<3:28:28, 5.03s/it][Dataset] cur_step=6513 phase=C_full_covt +[Dataset] cur_step=6513 phase=C_full_covt + {'loss': '3.205', 'grad_norm': '2.296', 'learning_rate': '9.732e-06', 'epoch': '0.2343'} + 72%|█████████████████████▋ | 6513/9000 [5:22:21<3:28:28, 5.03s/it] {'lm_loss': '0.2404', 'visual_loss': '2.716', 'seg_loss': '0.7428', 'dino_loss': '0.9401', 'depth_loss': '0.311', 'vggt_mse_loss': '0.3085', 'vggt_cos_loss': '0.02511', 'pidinet_loss': '0.2252', 'siglip_loss': '0.497', 'epoch': '0.2343'} + 72%|█████████████████████▋ | 6513/9000 [5:22:24<3:28:28, 5.03s/it][Dataset] cur_step=6514 phase=C_full_covt +[Dataset] cur_step=6514 phase=C_full_covt +[Dataset] cur_step=6514 phase=C_full_covt[Dataset] cur_step=6514 phase=C_full_covt +[Dataset] cur_step=6514 phase=C_full_covt + +[Dataset] cur_step=6514 phase=C_full_covt[Dataset] cur_step=6514 phase=C_full_covt + + 72%|█████████████████████▋ | 6514/9000 [5:22:25<3:14:16, 4.69s/it][Dataset] cur_step=6514 phase=C_full_covt + {'loss': '3.212', 'grad_norm': '2.19', 'learning_rate': '9.725e-06', 'epoch': '0.2343'} + 72%|█████████████████████▋ | 6514/9000 [5:22:25<3:14:16, 4.69s/it] {'lm_loss': '0.2031', 'visual_loss': '2.636', 'seg_loss': '0.7794', 'dino_loss': '0.9014', 'depth_loss': '0.2232', 'vggt_mse_loss': '0.2219', 'vggt_cos_loss': '0.01329', 'pidinet_loss': '0.2563', 'siglip_loss': '0.4762', 'epoch': '0.2343'} + 72%|█████████████████████▋ | 6514/9000 [5:22:29<3:14:16, 4.69s/it][Dataset] cur_step=6515 phase=C_full_covt +[Dataset] cur_step=6515 phase=C_full_covt +[Dataset] cur_step=6515 phase=C_full_covt[Dataset] cur_step=6515 phase=C_full_covt + + 72%|█████████████████████▋ | 6515/9000 [5:22:30<3:09:07, 4.57s/it][Dataset] cur_step=6515 phase=C_full_covt +[Dataset] cur_step=6515 phase=C_full_covt +[Dataset] cur_step=6515 phase=C_full_covt +[Dataset] cur_step=6515 phase=C_full_covt + {'loss': '2.806', 'grad_norm': '7.519', 'learning_rate': '9.717e-06', 'epoch': '0.2344'} + 72%|█████████████████████▋ | 6515/9000 [5:22:30<3:09:07, 4.57s/it] {'lm_loss': '0.6011', 'visual_loss': '2.497', 'seg_loss': '0.6488', 'dino_loss': '0.8968', 'depth_loss': '0.2091', 'vggt_mse_loss': '0.2077', 'vggt_cos_loss': '0.01396', 'pidinet_loss': '0.216', 'siglip_loss': '0.5266', 'epoch': '0.2344'} + 72%|█████████████████████▋ | 6515/9000 [5:22:33<3:09:07, 4.57s/it][Dataset] cur_step=6516 phase=C_full_covt +[Dataset] cur_step=6516 phase=C_full_covt +[Dataset] cur_step=6516 phase=C_full_covt +[Dataset] cur_step=6516 phase=C_full_covt[Dataset] cur_step=6516 phase=C_full_covt + +[Dataset] cur_step=6516 phase=C_full_covt 72%|█████████████████████▋ | 6516/9000 [5:22:34<3:00:46, 4.37s/it] +[Dataset] cur_step=6516 phase=C_full_covt +[Dataset] cur_step=6516 phase=C_full_covt + {'loss': '3.174', 'grad_norm': '1.612', 'learning_rate': '9.71e-06', 'epoch': '0.2344'} + 72%|█████████████████████▋ | 6516/9000 [5:22:34<3:00:46, 4.37s/it] {'lm_loss': '1.148', 'visual_loss': '2.785', 'seg_loss': '0.7843', 'dino_loss': '0.9203', 'depth_loss': '0.2541', 'vggt_mse_loss': '0.2523', 'vggt_cos_loss': '0.01715', 'pidinet_loss': '0.2969', 'siglip_loss': '0.5299', 'epoch': '0.2344'} + 72%|█████████████████████▋ | 6516/9000 [5:22:37<3:00:46, 4.37s/it][Dataset] cur_step=6517 phase=C_full_covt +[Dataset] cur_step=6517 phase=C_full_covt +[Dataset] cur_step=6517 phase=C_full_covt +[Dataset] cur_step=6517 phase=C_full_covt +[Dataset] cur_step=6517 phase=C_full_covt +[Dataset] cur_step=6517 phase=C_full_covt[Dataset] cur_step=6517 phase=C_full_covt + + 72%|█████████████████████▋ | 6517/9000 [5:22:37<2:55:11, 4.23s/it][Dataset] cur_step=6517 phase=C_full_covt + {'loss': '3.234', 'grad_norm': '1.571', 'learning_rate': '9.703e-06', 'epoch': '0.2344'} + 72%|█████████████████████▋ | 6517/9000 [5:22:37<2:55:11, 4.23s/it] {'lm_loss': '0.5396', 'visual_loss': '2.597', 'seg_loss': '0.5944', 'dino_loss': '0.9243', 'depth_loss': '0.2073', 'vggt_mse_loss': '0.2059', 'vggt_cos_loss': '0.0139', 'pidinet_loss': '0.2066', 'siglip_loss': '0.664', 'epoch': '0.2344'} + 72%|█████████████████████▋ | 6517/9000 [5:22:44<2:55:11, 4.23s/it][Dataset] cur_step=6518 phase=C_full_covt +[Dataset] cur_step=6518 phase=C_full_covt +[Dataset] cur_step=6518 phase=C_full_covt +[Dataset] cur_step=6518 phase=C_full_covt[Dataset] cur_step=6518 phase=C_full_covt + +[Dataset] cur_step=6518 phase=C_full_covt + 72%|█████████████████████▋ | 6518/9000 [5:22:44<3:22:31, 4.90s/it][Dataset] cur_step=6518 phase=C_full_covt +[Dataset] cur_step=6518 phase=C_full_covt + {'loss': '2.971', 'grad_norm': '6.314', 'learning_rate': '9.695e-06', 'epoch': '0.2345'} + 72%|█████████████████████▋ | 6518/9000 [5:22:44<3:22:31, 4.90s/it] {'lm_loss': '0.5286', 'visual_loss': '2.765', 'seg_loss': '0.7633', 'dino_loss': '0.9273', 'depth_loss': '0.2492', 'vggt_mse_loss': '0.2474', 'vggt_cos_loss': '0.01834', 'pidinet_loss': '0.2676', 'siglip_loss': '0.557', 'epoch': '0.2345'} + 72%|█████████████████████▋ | 6518/9000 [5:22:47<3:22:31, 4.90s/it][Dataset] cur_step=6519 phase=C_full_covt +[Dataset] cur_step=6519 phase=C_full_covt +[Dataset] cur_step=6519 phase=C_full_covt +[Dataset] cur_step=6519 phase=C_full_covt +[Dataset] cur_step=6519 phase=C_full_covt +[Dataset] cur_step=6519 phase=C_full_covt[Dataset] cur_step=6519 phase=C_full_covt + +[Dataset] cur_step=6519 phase=C_full_covt + 72%|█████████████████████▋ | 6519/9000 [5:22:48<3:13:03, 4.67s/it] {'loss': '3.249', 'grad_norm': '4.211', 'learning_rate': '9.688e-06', 'epoch': '0.2345'} + 72%|█████████████████████▋ | 6519/9000 [5:22:48<3:13:03, 4.67s/it] {'lm_loss': '0.5929', 'visual_loss': '2.729', 'seg_loss': '0.7446', 'dino_loss': '0.9317', 'depth_loss': '0.2274', 'vggt_mse_loss': '0.2254', 'vggt_cos_loss': '0.01982', 'pidinet_loss': '0.2455', 'siglip_loss': '0.5799', 'epoch': '0.2345'} + 72%|█████████████████████▋ | 6519/9000 [5:22:51<3:13:03, 4.67s/it][Dataset] cur_step=6520 phase=C_full_covt +[Dataset] cur_step=6520 phase=C_full_covt[Dataset] cur_step=6520 phase=C_full_covt + +[Dataset] cur_step=6520 phase=C_full_covt +[Dataset] cur_step=6520 phase=C_full_covt[Dataset] cur_step=6520 phase=C_full_covt + +[Dataset] cur_step=6520 phase=C_full_covt +[Dataset] cur_step=6520 phase=C_full_covt + 72%|█████████████████████▋ | 6520/9000 [5:22:52<3:09:48, 4.59s/it] {'loss': '3.034', 'grad_norm': '2.235', 'learning_rate': '9.681e-06', 'epoch': '0.2346'} + 72%|█████████████████████▋ | 6520/9000 [5:22:52<3:09:48, 4.59s/it] {'lm_loss': '0.6009', 'visual_loss': '2.787', 'seg_loss': '0.6972', 'dino_loss': '0.8933', 'depth_loss': '0.231', 'vggt_mse_loss': '0.2293', 'vggt_cos_loss': '0.0164', 'pidinet_loss': '0.3015', 'siglip_loss': '0.6637', 'epoch': '0.2346'} + 72%|█████████████████████▋ | 6520/9000 [5:22:56<3:09:48, 4.59s/it][Dataset] cur_step=6521 phase=C_full_covt +[Dataset] cur_step=6521 phase=C_full_covt[Dataset] cur_step=6521 phase=C_full_covt + +[Dataset] cur_step=6521 phase=C_full_covt + 72%|█████████████████████▋ | 6521/9000 [5:22:57<3:06:45, 4.52s/it][Dataset] cur_step=6521 phase=C_full_covt[Dataset] cur_step=6521 phase=C_full_covt + +[Dataset] cur_step=6521 phase=C_full_covt +[Dataset] cur_step=6521 phase=C_full_covt + {'loss': '3.021', 'grad_norm': '2.213', 'learning_rate': '9.674e-06', 'epoch': '0.2346'} + 72%|█████████████████████▋ | 6521/9000 [5:22:57<3:06:45, 4.52s/it] {'lm_loss': '0.001291', 'visual_loss': '2.676', 'seg_loss': '0.7794', 'dino_loss': '0.9344', 'depth_loss': '0.1935', 'vggt_mse_loss': '0.1923', 'vggt_cos_loss': '0.0121', 'pidinet_loss': '0.2213', 'siglip_loss': '0.5474', 'epoch': '0.2346'} + 72%|█████████████████████▋ | 6521/9000 [5:23:00<3:06:45, 4.52s/it][Dataset] cur_step=6522 phase=C_full_covt +[Dataset] cur_step=6522 phase=C_full_covt +[Dataset] cur_step=6522 phase=C_full_covt +[Dataset] cur_step=6522 phase=C_full_covt + 72%|█████████████████████▋ | 6522/9000 [5:23:01<2:59:11, 4.34s/it][Dataset] cur_step=6522 phase=C_full_covt[Dataset] cur_step=6522 phase=C_full_covt + +[Dataset] cur_step=6522 phase=C_full_covt +[Dataset] cur_step=6522 phase=C_full_covt + {'loss': '3.05', 'grad_norm': '2.23', 'learning_rate': '9.666e-06', 'epoch': '0.2346'} + 72%|█████████████████████▋ | 6522/9000 [5:23:01<2:59:11, 4.34s/it] {'lm_loss': '0.9616', 'visual_loss': '2.975', 'seg_loss': '0.7547', 'dino_loss': '0.9117', 'depth_loss': '0.2863', 'vggt_mse_loss': '0.2842', 'vggt_cos_loss': '0.02125', 'pidinet_loss': '0.2538', 'siglip_loss': '0.7686', 'epoch': '0.2346'} + 72%|█████████████████████▋ | 6522/9000 [5:23:04<2:59:11, 4.34s/it][Dataset] cur_step=6523 phase=C_full_covt +[Dataset] cur_step=6523 phase=C_full_covt +[Dataset] cur_step=6523 phase=C_full_covt +[Dataset] cur_step=6523 phase=C_full_covt + 72%|█████████████████████▋ | 6523/9000 [5:23:05<2:56:00, 4.26s/it][Dataset] cur_step=6523 phase=C_full_covt +[Dataset] cur_step=6523 phase=C_full_covt +[Dataset] cur_step=6523 phase=C_full_covt +[Dataset] cur_step=6523 phase=C_full_covt + {'loss': '3.074', 'grad_norm': '2.197', 'learning_rate': '9.659e-06', 'epoch': '0.2347'} + 72%|█████████████████████▋ | 6523/9000 [5:23:05<2:56:00, 4.26s/it] {'lm_loss': '0.4508', 'visual_loss': '2.913', 'seg_loss': '0.8272', 'dino_loss': '0.8998', 'depth_loss': '0.2223', 'vggt_mse_loss': '0.2206', 'vggt_cos_loss': '0.01664', 'pidinet_loss': '0.3001', 'siglip_loss': '0.6632', 'epoch': '0.2347'} + 72%|█████████████████████▋ | 6523/9000 [5:23:08<2:56:00, 4.26s/it][Dataset] cur_step=6524 phase=C_full_covt +[Dataset] cur_step=6524 phase=C_full_covt +[Dataset] cur_step=6524 phase=C_full_covt[Dataset] cur_step=6524 phase=C_full_covt + +[Dataset] cur_step=6524 phase=C_full_covt +[Dataset] cur_step=6524 phase=C_full_covt[Dataset] cur_step=6524 phase=C_full_covt + + 72%|█████████████████████▋ | 6524/9000 [5:23:09<2:51:47, 4.16s/it][Dataset] cur_step=6524 phase=C_full_covt + {'loss': '3.383', 'grad_norm': '1.703', 'learning_rate': '9.652e-06', 'epoch': '0.2347'} + 72%|█████████████████████▋ | 6524/9000 [5:23:09<2:51:47, 4.16s/it] {'lm_loss': '0.5389', 'visual_loss': '3.019', 'seg_loss': '0.6889', 'dino_loss': '0.9152', 'depth_loss': '0.1914', 'vggt_mse_loss': '0.1902', 'vggt_cos_loss': '0.01197', 'pidinet_loss': '0.2723', 'siglip_loss': '0.9513', 'epoch': '0.2347'} + 72%|█████████████████████▋ | 6524/9000 [5:23:13<2:51:47, 4.16s/it][Dataset] cur_step=6525 phase=C_full_covt + 72%|█████████████████████▊ | 6525/9000 [5:23:13<2:52:26, 4.18s/it][Dataset] cur_step=6525 phase=C_full_covt +[Dataset] cur_step=6525 phase=C_full_covt +[Dataset] cur_step=6525 phase=C_full_covt[Dataset] cur_step=6525 phase=C_full_covt + +[Dataset] cur_step=6525 phase=C_full_covt +[Dataset] cur_step=6525 phase=C_full_covt +[Dataset] cur_step=6525 phase=C_full_covt + {'loss': '3.267', 'grad_norm': '4.162', 'learning_rate': '9.645e-06', 'epoch': '0.2347'} + 72%|█████████████████████▊ | 6525/9000 [5:23:13<2:52:26, 4.18s/it] {'lm_loss': '0.01635', 'visual_loss': '2.46', 'seg_loss': '0.7399', 'dino_loss': '0.9038', 'depth_loss': '0.1784', 'vggt_mse_loss': '0.1774', 'vggt_cos_loss': '0.009685', 'pidinet_loss': '0.1469', 'siglip_loss': '0.491', 'epoch': '0.2347'} + 72%|█████████████████████▊ | 6525/9000 [5:23:16<2:52:26, 4.18s/it][Dataset] cur_step=6526 phase=C_full_covt +[Dataset] cur_step=6526 phase=C_full_covt +[Dataset] cur_step=6526 phase=C_full_covt[Dataset] cur_step=6526 phase=C_full_covt + +[Dataset] cur_step=6526 phase=C_full_covt[Dataset] cur_step=6526 phase=C_full_covt + +[Dataset] cur_step=6526 phase=C_full_covt + 73%|█████████████████████▊ | 6526/9000 [5:23:17<2:51:27, 4.16s/it][Dataset] cur_step=6526 phase=C_full_covt + {'loss': '2.918', 'grad_norm': '4.811', 'learning_rate': '9.637e-06', 'epoch': '0.2348'} + 73%|█████████████████████▊ | 6526/9000 [5:23:17<2:51:27, 4.16s/it] {'lm_loss': '0.2484', 'visual_loss': '2.33', 'seg_loss': '0.6294', 'dino_loss': '0.9171', 'depth_loss': '0.2126', 'vggt_mse_loss': '0.2113', 'vggt_cos_loss': '0.01211', 'pidinet_loss': '0.2026', 'siglip_loss': '0.368', 'epoch': '0.2348'} + 73%|█████████████████████▊ | 6526/9000 [5:23:20<2:51:27, 4.16s/it][Dataset] cur_step=6527 phase=C_full_covt[Dataset] cur_step=6527 phase=C_full_covt + +[Dataset] cur_step=6527 phase=C_full_covt[Dataset] cur_step=6527 phase=C_full_covt[Dataset] cur_step=6527 phase=C_full_covt + + +[Dataset] cur_step=6527 phase=C_full_covt +[Dataset] cur_step=6527 phase=C_full_covt 73%|█████████████████████▊ | 6527/9000 [5:23:21<2:53:54, 4.22s/it] +[Dataset] cur_step=6527 phase=C_full_covt + {'loss': '3.144', 'grad_norm': '3.613', 'learning_rate': '9.63e-06', 'epoch': '0.2348'} + 73%|█████████████████████▊ | 6527/9000 [5:23:21<2:53:54, 4.22s/it] {'lm_loss': '0.4636', 'visual_loss': '2.581', 'seg_loss': '0.6078', 'dino_loss': '0.9254', 'depth_loss': '0.2834', 'vggt_mse_loss': '0.2813', 'vggt_cos_loss': '0.02131', 'pidinet_loss': '0.2206', 'siglip_loss': '0.5434', 'epoch': '0.2348'} + 73%|█████████████████████▊ | 6527/9000 [5:23:25<2:53:54, 4.22s/it][Dataset] cur_step=6528 phase=C_full_covt +[Dataset] cur_step=6528 phase=C_full_covt[Dataset] cur_step=6528 phase=C_full_covt + +[Dataset] cur_step=6528 phase=C_full_covt +[Dataset] cur_step=6528 phase=C_full_covt +[Dataset] cur_step=6528 phase=C_full_covt[Dataset] cur_step=6528 phase=C_full_covt + +[Dataset] cur_step=6528 phase=C_full_covt + 73%|█████████████████████▊ | 6528/9000 [5:23:26<2:52:13, 4.18s/it] {'loss': '3.133', 'grad_norm': '4.322', 'learning_rate': '9.623e-06', 'epoch': '0.2348'} + 73%|█████████████████████▊ | 6528/9000 [5:23:26<2:52:13, 4.18s/it] {'lm_loss': '0.6889', 'visual_loss': '2.78', 'seg_loss': '0.7882', 'dino_loss': '0.8965', 'depth_loss': '0.347', 'vggt_mse_loss': '0.3446', 'vggt_cos_loss': '0.02397', 'pidinet_loss': '0.2991', 'siglip_loss': '0.4496', 'epoch': '0.2348'} + 73%|█████████████████████▊ | 6528/9000 [5:23:29<2:52:13, 4.18s/it][Dataset] cur_step=6529 phase=C_full_covt +[Dataset] cur_step=6529 phase=C_full_covt +[Dataset] cur_step=6529 phase=C_full_covt +[Dataset] cur_step=6529 phase=C_full_covt +[Dataset] cur_step=6529 phase=C_full_covt +[Dataset] cur_step=6529 phase=C_full_covt +[Dataset] cur_step=6529 phase=C_full_covt +[Dataset] cur_step=6529 phase=C_full_covt + 73%|█████████████████████▊ | 6529/9000 [5:23:30<2:51:47, 4.17s/it] {'loss': '3.074', 'grad_norm': '1.893', 'learning_rate': '9.616e-06', 'epoch': '0.2349'} + 73%|█████████████████████▊ | 6529/9000 [5:23:30<2:51:47, 4.17s/it] {'lm_loss': '0.4764', 'visual_loss': '2.637', 'seg_loss': '0.6212', 'dino_loss': '0.9103', 'depth_loss': '0.2429', 'vggt_mse_loss': '0.2409', 'vggt_cos_loss': '0.02025', 'pidinet_loss': '0.2733', 'siglip_loss': '0.5894', 'epoch': '0.2349'} + 73%|█████████████████████▊ | 6529/9000 [5:23:33<2:51:47, 4.17s/it][Dataset] cur_step=6530 phase=C_full_covt +[Dataset] cur_step=6530 phase=C_full_covt +[Dataset] cur_step=6530 phase=C_full_covt[Dataset] cur_step=6530 phase=C_full_covt + +[Dataset] cur_step=6530 phase=C_full_covt +[Dataset] cur_step=6530 phase=C_full_covt + 73%|█████████████████████▊ | 6530/9000 [5:23:33<2:46:20, 4.04s/it][Dataset] cur_step=6530 phase=C_full_covt +[Dataset] cur_step=6530 phase=C_full_covt + {'loss': '3.088', 'grad_norm': '2.436', 'learning_rate': '9.608e-06', 'epoch': '0.2349'} + 73%|█████████████████████▊ | 6530/9000 [5:23:33<2:46:20, 4.04s/it] {'lm_loss': '1.077', 'visual_loss': '2.704', 'seg_loss': '0.6897', 'dino_loss': '0.9079', 'depth_loss': '0.1913', 'vggt_mse_loss': '0.1903', 'vggt_cos_loss': '0.009999', 'pidinet_loss': '0.2595', 'siglip_loss': '0.6555', 'epoch': '0.2349'} + 73%|█████████████████████▊ | 6530/9000 [5:23:37<2:46:20, 4.04s/it][Dataset] cur_step=6531 phase=C_full_covt +[Dataset] cur_step=6531 phase=C_full_covt 73%|█████████████████████▊ | 6531/9000 [5:23:37<2:45:46, 4.03s/it] +[Dataset] cur_step=6531 phase=C_full_covt +[Dataset] cur_step=6531 phase=C_full_covt[Dataset] cur_step=6531 phase=C_full_covt + +[Dataset] cur_step=6531 phase=C_full_covt +[Dataset] cur_step=6531 phase=C_full_covt[Dataset] cur_step=6531 phase=C_full_covt + + {'loss': '3.132', 'grad_norm': '1.991', 'learning_rate': '9.601e-06', 'epoch': '0.235'} + 73%|█████████████████████▊ | 6531/9000 [5:23:37<2:45:46, 4.03s/it] {'lm_loss': '1.016', 'visual_loss': '2.517', 'seg_loss': '0.7053', 'dino_loss': '0.8695', 'depth_loss': '0.3386', 'vggt_mse_loss': '0.3362', 'vggt_cos_loss': '0.024', 'pidinet_loss': '0.1427', 'siglip_loss': '0.4609', 'epoch': '0.235'} + 73%|█████████████████████▊ | 6531/9000 [5:23:41<2:45:46, 4.03s/it][Dataset] cur_step=6532 phase=C_full_covt +[Dataset] cur_step=6532 phase=C_full_covt[Dataset] cur_step=6532 phase=C_full_covt +[Dataset] cur_step=6532 phase=C_full_covt + +[Dataset] cur_step=6532 phase=C_full_covt[Dataset] cur_step=6532 phase=C_full_covt 73%|█████████████████████▊ | 6532/9000 [5:23:41<2:45:47, 4.03s/it] + +[Dataset] cur_step=6532 phase=C_full_covt +[Dataset] cur_step=6532 phase=C_full_covt + {'loss': '3.125', 'grad_norm': '2.122', 'learning_rate': '9.594e-06', 'epoch': '0.235'} + 73%|█████████████████████▊ | 6532/9000 [5:23:41<2:45:47, 4.03s/it] {'lm_loss': '0.8465', 'visual_loss': '2.799', 'seg_loss': '0.7275', 'dino_loss': '0.8924', 'depth_loss': '0.3172', 'vggt_mse_loss': '0.3149', 'vggt_cos_loss': '0.02316', 'pidinet_loss': '0.2614', 'siglip_loss': '0.6009', 'epoch': '0.235'} + 73%|█████████████████████▊ | 6532/9000 [5:23:45<2:45:47, 4.03s/it][Dataset] cur_step=6533 phase=C_full_covt +[Dataset] cur_step=6533 phase=C_full_covt +[Dataset] cur_step=6533 phase=C_full_covt + 73%|█████████████████████▊ | 6533/9000 [5:23:45<2:45:29, 4.02s/it][Dataset] cur_step=6533 phase=C_full_covt +[Dataset] cur_step=6533 phase=C_full_covt +[Dataset] cur_step=6533 phase=C_full_covt +[Dataset] cur_step=6533 phase=C_full_covt +[Dataset] cur_step=6533 phase=C_full_covt + {'loss': '3.452', 'grad_norm': '1.891', 'learning_rate': '9.587e-06', 'epoch': '0.235'} + 73%|█████████████████████▊ | 6533/9000 [5:23:45<2:45:29, 4.02s/it] {'lm_loss': '0.7504', 'visual_loss': '2.323', 'seg_loss': '0.5731', 'dino_loss': '0.8948', 'depth_loss': '0.209', 'vggt_mse_loss': '0.2078', 'vggt_cos_loss': '0.01199', 'pidinet_loss': '0.2253', 'siglip_loss': '0.4212', 'epoch': '0.235'} + 73%|█████████████████████▊ | 6533/9000 [5:23:49<2:45:29, 4.02s/it][Dataset] cur_step=6534 phase=C_full_covt +[Dataset] cur_step=6534 phase=C_full_covt +[Dataset] cur_step=6534 phase=C_full_covt[Dataset] cur_step=6534 phase=C_full_covt + + 73%|█████████████████████▊ | 6534/9000 [5:23:49<2:45:44, 4.03s/it][Dataset] cur_step=6534 phase=C_full_covt[Dataset] cur_step=6534 phase=C_full_covt + +[Dataset] cur_step=6534 phase=C_full_covt +[Dataset] cur_step=6534 phase=C_full_covt + {'loss': '2.891', 'grad_norm': '5.903', 'learning_rate': '9.58e-06', 'epoch': '0.2351'} + 73%|█████████████████████▊ | 6534/9000 [5:23:49<2:45:44, 4.03s/it] {'lm_loss': '0.3545', 'visual_loss': '3.029', 'seg_loss': '0.7563', 'dino_loss': '0.9233', 'depth_loss': '0.468', 'vggt_mse_loss': '0.464', 'vggt_cos_loss': '0.03959', 'pidinet_loss': '0.2659', 'siglip_loss': '0.6159', 'epoch': '0.2351'} + 73%|█████████████████████▊ | 6534/9000 [5:23:53<2:45:44, 4.03s/it][Dataset] cur_step=6535 phase=C_full_covt +[Dataset] cur_step=6535 phase=C_full_covt +[Dataset] cur_step=6535 phase=C_full_covt[Dataset] cur_step=6535 phase=C_full_covt[Dataset] cur_step=6535 phase=C_full_covt 73%|█████████████████████▊ | 6535/9000 [5:23:53<2:41:01, 3.92s/it] + + +[Dataset] cur_step=6535 phase=C_full_covt +[Dataset] cur_step=6535 phase=C_full_covt +[Dataset] cur_step=6535 phase=C_full_covt + {'loss': '3.113', 'grad_norm': '2.179', 'learning_rate': '9.572e-06', 'epoch': '0.2351'} + 73%|█████████████████████▊ | 6535/9000 [5:23:53<2:41:01, 3.92s/it] {'lm_loss': '0.4233', 'visual_loss': '2.846', 'seg_loss': '0.833', 'dino_loss': '0.9247', 'depth_loss': '0.2071', 'vggt_mse_loss': '0.2058', 'vggt_cos_loss': '0.0131', 'pidinet_loss': '0.2551', 'siglip_loss': '0.6259', 'epoch': '0.2351'} + 73%|█████████████████████▊ | 6535/9000 [5:23:56<2:41:01, 3.92s/it][Dataset] cur_step=6536 phase=C_full_covt[Dataset] cur_step=6536 phase=C_full_covt + +[Dataset] cur_step=6536 phase=C_full_covt[Dataset] cur_step=6536 phase=C_full_covt + +[Dataset] cur_step=6536 phase=C_full_covt +[Dataset] cur_step=6536 phase=C_full_covt +[Dataset] cur_step=6536 phase=C_full_covt + 73%|█████████████████████▊ | 6536/9000 [5:23:57<2:37:35, 3.84s/it][Dataset] cur_step=6536 phase=C_full_covt + {'loss': '3.253', 'grad_norm': '2.863', 'learning_rate': '9.565e-06', 'epoch': '0.2351'} + 73%|█████████████████████▊ | 6536/9000 [5:23:57<2:37:35, 3.84s/it] {'lm_loss': '0.5589', 'visual_loss': '2.458', 'seg_loss': '0.5526', 'dino_loss': '0.9031', 'depth_loss': '0.2439', 'vggt_mse_loss': '0.2418', 'vggt_cos_loss': '0.02121', 'pidinet_loss': '0.2734', 'siglip_loss': '0.4844', 'epoch': '0.2351'} + 73%|█████████████████████▊ | 6536/9000 [5:24:01<2:37:35, 3.84s/it][Dataset] cur_step=6537 phase=C_full_covt[Dataset] cur_step=6537 phase=C_full_covt[Dataset] cur_step=6537 phase=C_full_covt + + + 73%|█████████████████████▊ | 6537/9000 [5:24:01<2:44:53, 4.02s/it][Dataset] cur_step=6537 phase=C_full_covt +[Dataset] cur_step=6537 phase=C_full_covt +[Dataset] cur_step=6537 phase=C_full_covt +[Dataset] cur_step=6537 phase=C_full_covt +[Dataset] cur_step=6537 phase=C_full_covt + {'loss': '3.291', 'grad_norm': '15.38', 'learning_rate': '9.558e-06', 'epoch': '0.2352'} + 73%|█████████████████████▊ | 6537/9000 [5:24:01<2:44:53, 4.02s/it] {'lm_loss': '0.2513', 'visual_loss': '2.265', 'seg_loss': '0.6667', 'dino_loss': '0.8661', 'depth_loss': '0.2139', 'vggt_mse_loss': '0.2127', 'vggt_cos_loss': '0.01187', 'pidinet_loss': '0.1337', 'siglip_loss': '0.385', 'epoch': '0.2352'} + 73%|█████████████████████▊ | 6537/9000 [5:24:05<2:44:53, 4.02s/it][Dataset] cur_step=6538 phase=C_full_covt +[Dataset] cur_step=6538 phase=C_full_covt[Dataset] cur_step=6538 phase=C_full_covt + +[Dataset] cur_step=6538 phase=C_full_covt + 73%|█████████████████████▊ | 6538/9000 [5:24:05<2:46:32, 4.06s/it][Dataset] cur_step=6538 phase=C_full_covt +[Dataset] cur_step=6538 phase=C_full_covt +[Dataset] cur_step=6538 phase=C_full_covt +[Dataset] cur_step=6538 phase=C_full_covt + {'loss': '3.14', 'grad_norm': '5.69', 'learning_rate': '9.551e-06', 'epoch': '0.2352'} + 73%|█████████████████████▊ | 6538/9000 [5:24:05<2:46:32, 4.06s/it] {'lm_loss': '0.2695', 'visual_loss': '2.636', 'seg_loss': '0.6745', 'dino_loss': '0.8967', 'depth_loss': '0.2175', 'vggt_mse_loss': '0.2158', 'vggt_cos_loss': '0.01615', 'pidinet_loss': '0.2553', 'siglip_loss': '0.5916', 'epoch': '0.2352'} + 73%|█████████████████████▊ | 6538/9000 [5:24:09<2:46:32, 4.06s/it][Dataset] cur_step=6539 phase=C_full_covt +[Dataset] cur_step=6539 phase=C_full_covt[Dataset] cur_step=6539 phase=C_full_covt + +[Dataset] cur_step=6539 phase=C_full_covt 73%|█████████████████████▊ | 6539/9000 [5:24:09<2:44:13, 4.00s/it] +[Dataset] cur_step=6539 phase=C_full_covt +[Dataset] cur_step=6539 phase=C_full_covt +[Dataset] cur_step=6539 phase=C_full_covt +[Dataset] cur_step=6539 phase=C_full_covt + {'loss': '3.09', 'grad_norm': '2.769', 'learning_rate': '9.543e-06', 'epoch': '0.2352'} + 73%|█████████████████████▊ | 6539/9000 [5:24:09<2:44:13, 4.00s/it] {'lm_loss': '0.8661', 'visual_loss': '2.741', 'seg_loss': '0.763', 'dino_loss': '0.8918', 'depth_loss': '0.2075', 'vggt_mse_loss': '0.2061', 'vggt_cos_loss': '0.01415', 'pidinet_loss': '0.3039', 'siglip_loss': '0.5748', 'epoch': '0.2352'} + 73%|█████████████████████▊ | 6539/9000 [5:24:12<2:44:13, 4.00s/it][Dataset] cur_step=6540 phase=C_full_covt +[Dataset] cur_step=6540 phase=C_full_covt +[Dataset] cur_step=6540 phase=C_full_covt +[Dataset] cur_step=6540 phase=C_full_covt +[Dataset] cur_step=6540 phase=C_full_covt[Dataset] cur_step=6540 phase=C_full_covt + + 73%|█████████████████████▊ | 6540/9000 [5:24:15<3:10:06, 4.64s/it][Dataset] cur_step=6540 phase=C_full_covt +[Dataset] cur_step=6540 phase=C_full_covt + {'loss': '3.1', 'grad_norm': '2.288', 'learning_rate': '9.536e-06', 'epoch': '0.2353'} + 73%|█████████████████████▊ | 6540/9000 [5:24:15<3:10:06, 4.64s/it] {'lm_loss': '0.2483', 'visual_loss': '2.422', 'seg_loss': '0.6558', 'dino_loss': '0.8983', 'depth_loss': '0.1927', 'vggt_mse_loss': '0.1915', 'vggt_cos_loss': '0.01224', 'pidinet_loss': '0.1833', 'siglip_loss': '0.4918', 'epoch': '0.2353'} + 73%|█████████████████████▊ | 6540/9000 [5:24:19<3:10:06, 4.64s/it][Dataset] cur_step=6541 phase=C_full_covt +[Dataset] cur_step=6541 phase=C_full_covt +[Dataset] cur_step=6541 phase=C_full_covt +[Dataset] cur_step=6541 phase=C_full_covt 73%|█████████████████████▊ | 6541/9000 [5:24:19<3:00:25, 4.40s/it] +[Dataset] cur_step=6541 phase=C_full_covt +[Dataset] cur_step=6541 phase=C_full_covt +[Dataset] cur_step=6541 phase=C_full_covt +[Dataset] cur_step=6541 phase=C_full_covt + {'loss': '2.985', 'grad_norm': '2.649', 'learning_rate': '9.529e-06', 'epoch': '0.2353'} + 73%|█████████████████████▊ | 6541/9000 [5:24:19<3:00:25, 4.40s/it] {'lm_loss': '0.8361', 'visual_loss': '2.772', 'seg_loss': '0.7514', 'dino_loss': '0.9165', 'depth_loss': '0.1778', 'vggt_mse_loss': '0.1766', 'vggt_cos_loss': '0.01208', 'pidinet_loss': '0.2049', 'siglip_loss': '0.7212', 'epoch': '0.2353'} + 73%|█████████████████████▊ | 6541/9000 [5:24:22<3:00:25, 4.40s/it][Dataset] cur_step=6542 phase=C_full_covt +[Dataset] cur_step=6542 phase=C_full_covt +[Dataset] cur_step=6542 phase=C_full_covt +[Dataset] cur_step=6542 phase=C_full_covt +[Dataset] cur_step=6542 phase=C_full_covt +[Dataset] cur_step=6542 phase=C_full_covt[Dataset] cur_step=6542 phase=C_full_covt + + 73%|█████████████████████▊ | 6542/9000 [5:24:23<2:58:37, 4.36s/it][Dataset] cur_step=6542 phase=C_full_covt + {'loss': '2.981', 'grad_norm': '4.497', 'learning_rate': '9.522e-06', 'epoch': '0.2353'} + 73%|█████████████████████▊ | 6542/9000 [5:24:23<2:58:37, 4.36s/it] {'lm_loss': '0.5864', 'visual_loss': '2.905', 'seg_loss': '0.7825', 'dino_loss': '0.9285', 'depth_loss': '0.18', 'vggt_mse_loss': '0.1786', 'vggt_cos_loss': '0.01398', 'pidinet_loss': '0.2494', 'siglip_loss': '0.7647', 'epoch': '0.2353'} + 73%|█████████████████████▊ | 6542/9000 [5:24:26<2:58:37, 4.36s/it][Dataset] cur_step=6543 phase=C_full_covt +[Dataset] cur_step=6543 phase=C_full_covt +[Dataset] cur_step=6543 phase=C_full_covt[Dataset] cur_step=6543 phase=C_full_covt + +[Dataset] cur_step=6543 phase=C_full_covt[Dataset] cur_step=6543 phase=C_full_covt + +[Dataset] cur_step=6543 phase=C_full_covt + 73%|█████████████████████▊ | 6543/9000 [5:24:27<2:51:24, 4.19s/it][Dataset] cur_step=6543 phase=C_full_covt + {'loss': '3.044', 'grad_norm': '2.108', 'learning_rate': '9.515e-06', 'epoch': '0.2354'} + 73%|█████████████████████▊ | 6543/9000 [5:24:27<2:51:24, 4.19s/it] {'lm_loss': '0.7866', 'visual_loss': '2.641', 'seg_loss': '0.6694', 'dino_loss': '0.9178', 'depth_loss': '0.2235', 'vggt_mse_loss': '0.222', 'vggt_cos_loss': '0.0155', 'pidinet_loss': '0.2296', 'siglip_loss': '0.6004', 'epoch': '0.2354'} + 73%|█████████████████████▊ | 6543/9000 [5:24:31<2:51:24, 4.19s/it][Dataset] cur_step=6544 phase=C_full_covt +[Dataset] cur_step=6544 phase=C_full_covt + 73%|█████████████████████▊ | 6544/9000 [5:24:31<2:46:27, 4.07s/it][Dataset] cur_step=6544 phase=C_full_covt +[Dataset] cur_step=6544 phase=C_full_covt +[Dataset] cur_step=6544 phase=C_full_covt +[Dataset] cur_step=6544 phase=C_full_covt +[Dataset] cur_step=6544 phase=C_full_covt +[Dataset] cur_step=6544 phase=C_full_covt + {'loss': '3.047', 'grad_norm': '2.651', 'learning_rate': '9.507e-06', 'epoch': '0.2354'} + 73%|█████████████████████▊ | 6544/9000 [5:24:31<2:46:27, 4.07s/it] {'lm_loss': '0.4304', 'visual_loss': '2.697', 'seg_loss': '0.6987', 'dino_loss': '0.905', 'depth_loss': '0.2385', 'vggt_mse_loss': '0.2365', 'vggt_cos_loss': '0.01968', 'pidinet_loss': '0.284', 'siglip_loss': '0.5712', 'epoch': '0.2354'} + 73%|█████████████████████▊ | 6544/9000 [5:24:35<2:46:27, 4.07s/it][Dataset] cur_step=6545 phase=C_full_covt +[Dataset] cur_step=6545 phase=C_full_covt +[Dataset] cur_step=6545 phase=C_full_covt + 73%|█████████████████████▊ | 6545/9000 [5:24:35<2:49:00, 4.13s/it][Dataset] cur_step=6545 phase=C_full_covt +[Dataset] cur_step=6545 phase=C_full_covt +[Dataset] cur_step=6545 phase=C_full_covt +[Dataset] cur_step=6545 phase=C_full_covt +[Dataset] cur_step=6545 phase=C_full_covt + {'loss': '3.022', 'grad_norm': '2.92', 'learning_rate': '9.5e-06', 'epoch': '0.2355'} + 73%|█████████████████████▊ | 6545/9000 [5:24:35<2:49:00, 4.13s/it] {'lm_loss': '0.5443', 'visual_loss': '2.633', 'seg_loss': '0.7191', 'dino_loss': '0.9276', 'depth_loss': '0.1972', 'vggt_mse_loss': '0.1957', 'vggt_cos_loss': '0.01464', 'pidinet_loss': '0.2466', 'siglip_loss': '0.5422', 'epoch': '0.2355'} + 73%|█████████████████████▊ | 6545/9000 [5:24:38<2:49:00, 4.13s/it][Dataset] cur_step=6546 phase=C_full_covt[Dataset] cur_step=6546 phase=C_full_covt[Dataset] cur_step=6546 phase=C_full_covt + + +[Dataset] cur_step=6546 phase=C_full_covt +[Dataset] cur_step=6546 phase=C_full_covt +[Dataset] cur_step=6546 phase=C_full_covt +[Dataset] cur_step=6546 phase=C_full_covt +[Dataset] cur_step=6546 phase=C_full_covt + 73%|█████████████████████▊ | 6546/9000 [5:24:39<2:47:41, 4.10s/it] {'loss': '2.967', 'grad_norm': '1.971', 'learning_rate': '9.493e-06', 'epoch': '0.2355'} + 73%|█████████████████████▊ | 6546/9000 [5:24:39<2:47:41, 4.10s/it] {'lm_loss': '0.9132', 'visual_loss': '2.747', 'seg_loss': '0.7305', 'dino_loss': '0.9026', 'depth_loss': '0.2141', 'vggt_mse_loss': '0.2125', 'vggt_cos_loss': '0.01568', 'pidinet_loss': '0.2584', 'siglip_loss': '0.6412', 'epoch': '0.2355'} + 73%|█████████████████████▊ | 6546/9000 [5:24:43<2:47:41, 4.10s/it][Dataset] cur_step=6547 phase=C_full_covt +[Dataset] cur_step=6547 phase=C_full_covt[Dataset] cur_step=6547 phase=C_full_covt + +[Dataset] cur_step=6547 phase=C_full_covt +[Dataset] cur_step=6547 phase=C_full_covt +[Dataset] cur_step=6547 phase=C_full_covt +[Dataset] cur_step=6547 phase=C_full_covt + 73%|█████████████████████▊ | 6547/9000 [5:24:46<3:15:18, 4.78s/it][Dataset] cur_step=6547 phase=C_full_covt + {'loss': '3.221', 'grad_norm': '4.95', 'learning_rate': '9.486e-06', 'epoch': '0.2355'} + 73%|█████████████████████▊ | 6547/9000 [5:24:46<3:15:18, 4.78s/it] {'lm_loss': '0.5208', 'visual_loss': '2.529', 'seg_loss': '0.7451', 'dino_loss': '0.9049', 'depth_loss': '0.1998', 'vggt_mse_loss': '0.1986', 'vggt_cos_loss': '0.01256', 'pidinet_loss': '0.2105', 'siglip_loss': '0.4687', 'epoch': '0.2355'} + 73%|█████████████████████▊ | 6547/9000 [5:24:49<3:15:18, 4.78s/it][Dataset] cur_step=6548 phase=C_full_covt +[Dataset] cur_step=6548 phase=C_full_covt +[Dataset] cur_step=6548 phase=C_full_covt +[Dataset] cur_step=6548 phase=C_full_covt[Dataset] cur_step=6548 phase=C_full_covt + +[Dataset] cur_step=6548 phase=C_full_covt +[Dataset] cur_step=6548 phase=C_full_covt + 73%|█████████████████████▊ | 6548/9000 [5:24:50<3:09:34, 4.64s/it][Dataset] cur_step=6548 phase=C_full_covt + {'loss': '3.456', 'grad_norm': '4.743', 'learning_rate': '9.479e-06', 'epoch': '0.2356'} + 73%|█████████████████████▊ | 6548/9000 [5:24:50<3:09:34, 4.64s/it] {'lm_loss': '0.3457', 'visual_loss': '2.869', 'seg_loss': '0.8518', 'dino_loss': '0.9055', 'depth_loss': '0.1996', 'vggt_mse_loss': '0.1982', 'vggt_cos_loss': '0.01398', 'pidinet_loss': '0.2988', 'siglip_loss': '0.6129', 'epoch': '0.2356'} + 73%|█████████████████████▊ | 6548/9000 [5:24:53<3:09:34, 4.64s/it][Dataset] cur_step=6549 phase=C_full_covt +[Dataset] cur_step=6549 phase=C_full_covt +[Dataset] cur_step=6549 phase=C_full_covt[Dataset] cur_step=6549 phase=C_full_covt[Dataset] cur_step=6549 phase=C_full_covt + + + 73%|█████████████████████▊ | 6549/9000 [5:24:54<3:03:34, 4.49s/it][Dataset] cur_step=6549 phase=C_full_covt +[Dataset] cur_step=6549 phase=C_full_covt +[Dataset] cur_step=6549 phase=C_full_covt + {'loss': '3.162', 'grad_norm': '2.107', 'learning_rate': '9.471e-06', 'epoch': '0.2356'} + 73%|█████████████████████▊ | 6549/9000 [5:24:54<3:03:34, 4.49s/it] {'lm_loss': '0.5344', 'visual_loss': '2.446', 'seg_loss': '0.6379', 'dino_loss': '0.8797', 'depth_loss': '0.2512', 'vggt_mse_loss': '0.25', 'vggt_cos_loss': '0.01252', 'pidinet_loss': '0.2327', 'siglip_loss': '0.4449', 'epoch': '0.2356'} + 73%|█████████████████████▊ | 6549/9000 [5:24:57<3:03:34, 4.49s/it][Dataset] cur_step=6550 phase=C_full_covt +[Dataset] cur_step=6550 phase=C_full_covt[Dataset] cur_step=6550 phase=C_full_covt +[Dataset] cur_step=6550 phase=C_full_covt + +[Dataset] cur_step=6550 phase=C_full_covt + 73%|█████████████████████▊ | 6550/9000 [5:24:58<2:54:05, 4.26s/it][Dataset] cur_step=6550 phase=C_full_covt +[Dataset] cur_step=6550 phase=C_full_covt +[Dataset] cur_step=6550 phase=C_full_covt + {'loss': '3.166', 'grad_norm': '68.4', 'learning_rate': '9.464e-06', 'epoch': '0.2356'} + 73%|█████████████████████▊ | 6550/9000 [5:24:58<2:54:05, 4.26s/it] {'lm_loss': '0.8005', 'visual_loss': '2.649', 'seg_loss': '0.6993', 'dino_loss': '0.9107', 'depth_loss': '0.3087', 'vggt_mse_loss': '0.306', 'vggt_cos_loss': '0.02702', 'pidinet_loss': '0.262', 'siglip_loss': '0.4683', 'epoch': '0.2356'} + 73%|█████████████████████▊ | 6550/9000 [5:25:01<2:54:05, 4.26s/it][Dataset] cur_step=6551 phase=C_full_covt +[Dataset] cur_step=6551 phase=C_full_covt[Dataset] cur_step=6551 phase=C_full_covt + +[Dataset] cur_step=6551 phase=C_full_covt[Dataset] cur_step=6551 phase=C_full_covt + +[Dataset] cur_step=6551 phase=C_full_covt 73%|█████████████████████▊ | 6551/9000 [5:25:02<2:50:41, 4.18s/it] +[Dataset] cur_step=6551 phase=C_full_covt +[Dataset] cur_step=6551 phase=C_full_covt + {'loss': '3.024', 'grad_norm': '6.387', 'learning_rate': '9.457e-06', 'epoch': '0.2357'} + 73%|█████████████████████▊ | 6551/9000 [5:25:02<2:50:41, 4.18s/it] {'lm_loss': '0.5856', 'visual_loss': '2.859', 'seg_loss': '0.5736', 'dino_loss': '0.9103', 'depth_loss': '0.3572', 'vggt_mse_loss': '0.3546', 'vggt_cos_loss': '0.02653', 'pidinet_loss': '0.3106', 'siglip_loss': '0.7075', 'epoch': '0.2357'} + 73%|█████████████████████▊ | 6551/9000 [5:25:06<2:50:41, 4.18s/it][Dataset] cur_step=6552 phase=C_full_covt +[Dataset] cur_step=6552 phase=C_full_covt +[Dataset] cur_step=6552 phase=C_full_covt +[Dataset] cur_step=6552 phase=C_full_covt +[Dataset] cur_step=6552 phase=C_full_covt +[Dataset] cur_step=6552 phase=C_full_covt +[Dataset] cur_step=6552 phase=C_full_covt + 73%|█████████████████████▊ | 6552/9000 [5:25:06<2:52:44, 4.23s/it][Dataset] cur_step=6552 phase=C_full_covt + {'loss': '2.927', 'grad_norm': '2.07', 'learning_rate': '9.45e-06', 'epoch': '0.2357'} + 73%|█████████████████████▊ | 6552/9000 [5:25:06<2:52:44, 4.23s/it] {'lm_loss': '0.7529', 'visual_loss': '2.358', 'seg_loss': '0.6219', 'dino_loss': '0.9173', 'depth_loss': '0.196', 'vggt_mse_loss': '0.1948', 'vggt_cos_loss': '0.01173', 'pidinet_loss': '0.1569', 'siglip_loss': '0.4655', 'epoch': '0.2357'} + 73%|█████████████████████▊ | 6552/9000 [5:25:10<2:52:44, 4.23s/it][Dataset] cur_step=6553 phase=C_full_covt +[Dataset] cur_step=6553 phase=C_full_covt + 73%|█████████████████████▊ | 6553/9000 [5:25:11<2:53:34, 4.26s/it][Dataset] cur_step=6553 phase=C_full_covt +[Dataset] cur_step=6553 phase=C_full_covt +[Dataset] cur_step=6553 phase=C_full_covt[Dataset] cur_step=6553 phase=C_full_covt + +[Dataset] cur_step=6553 phase=C_full_covt +[Dataset] cur_step=6553 phase=C_full_covt + {'loss': '3.265', 'grad_norm': '2.162', 'learning_rate': '9.443e-06', 'epoch': '0.2357'} + 73%|█████████████████████▊ | 6553/9000 [5:25:11<2:53:34, 4.26s/it] {'lm_loss': '1.045', 'visual_loss': '2.414', 'seg_loss': '0.7307', 'dino_loss': '0.9081', 'depth_loss': '0.2187', 'vggt_mse_loss': '0.2173', 'vggt_cos_loss': '0.01371', 'pidinet_loss': '0.2143', 'siglip_loss': '0.3424', 'epoch': '0.2357'} + 73%|█████████████████████▊ | 6553/9000 [5:25:14<2:53:34, 4.26s/it][Dataset] cur_step=6554 phase=C_full_covt +[Dataset] cur_step=6554 phase=C_full_covt +[Dataset] cur_step=6554 phase=C_full_covt +[Dataset] cur_step=6554 phase=C_full_covt +[Dataset] cur_step=6554 phase=C_full_covt +[Dataset] cur_step=6554 phase=C_full_covt + 73%|█████████████████████▊ | 6554/9000 [5:25:17<3:16:25, 4.82s/it][Dataset] cur_step=6554 phase=C_full_covt +[Dataset] cur_step=6554 phase=C_full_covt + {'loss': '3.117', 'grad_norm': '6.428', 'learning_rate': '9.435e-06', 'epoch': '0.2358'} + 73%|█████████████████████▊ | 6554/9000 [5:25:17<3:16:25, 4.82s/it] {'lm_loss': '0.361', 'visual_loss': '2.632', 'seg_loss': '0.778', 'dino_loss': '0.9004', 'depth_loss': '0.2615', 'vggt_mse_loss': '0.2596', 'vggt_cos_loss': '0.01923', 'pidinet_loss': '0.2103', 'siglip_loss': '0.4816', 'epoch': '0.2358'} + 73%|█████████████████████▊ | 6554/9000 [5:25:19<3:16:25, 4.82s/it][Dataset] cur_step=6555 phase=C_full_covt +[Dataset] cur_step=6555 phase=C_full_covt +[Dataset] cur_step=6555 phase=C_full_covt +[Dataset] cur_step=6555 phase=C_full_covt +[Dataset] cur_step=6555 phase=C_full_covt +[Dataset] cur_step=6555 phase=C_full_covt +[Dataset] cur_step=6555 phase=C_full_covt +[Dataset] cur_step=6555 phase=C_full_covt + 73%|█████████████████████▊ | 6555/9000 [5:25:21<3:10:38, 4.68s/it] {'loss': '3.005', 'grad_norm': '4.36', 'learning_rate': '9.428e-06', 'epoch': '0.2358'} + 73%|█████████████████████▊ | 6555/9000 [5:25:21<3:10:38, 4.68s/it] {'lm_loss': '0.169', 'visual_loss': '2.977', 'seg_loss': '0.678', 'dino_loss': '0.9179', 'depth_loss': '0.4375', 'vggt_mse_loss': '0.4347', 'vggt_cos_loss': '0.02817', 'pidinet_loss': '0.2663', 'siglip_loss': '0.6775', 'epoch': '0.2358'} + 73%|█████████████████████▊ | 6555/9000 [5:25:24<3:10:38, 4.68s/it][Dataset] cur_step=6556 phase=C_full_covt +[Dataset] cur_step=6556 phase=C_full_covt[Dataset] cur_step=6556 phase=C_full_covt + +[Dataset] cur_step=6556 phase=C_full_covt +[Dataset] cur_step=6556 phase=C_full_covt +[Dataset] cur_step=6556 phase=C_full_covt + 73%|█████████████████████▊ | 6556/9000 [5:25:25<3:00:15, 4.43s/it][Dataset] cur_step=6556 phase=C_full_covt +[Dataset] cur_step=6556 phase=C_full_covt + {'loss': '3.418', 'grad_norm': '3.183', 'learning_rate': '9.421e-06', 'epoch': '0.2359'} + 73%|█████████████████████▊ | 6556/9000 [5:25:25<3:00:15, 4.43s/it] {'lm_loss': '0.3867', 'visual_loss': '2.881', 'seg_loss': '0.8457', 'dino_loss': '0.9337', 'depth_loss': '0.249', 'vggt_mse_loss': '0.247', 'vggt_cos_loss': '0.02051', 'pidinet_loss': '0.2649', 'siglip_loss': '0.5879', 'epoch': '0.2359'} + 73%|█████████████████████▊ | 6556/9000 [5:25:28<3:00:15, 4.43s/it][Dataset] cur_step=6557 phase=C_full_covt +[Dataset] cur_step=6557 phase=C_full_covt[Dataset] cur_step=6557 phase=C_full_covt + +[Dataset] cur_step=6557 phase=C_full_covt[Dataset] cur_step=6557 phase=C_full_covt + + 73%|█████████████████████▊ | 6557/9000 [5:25:29<2:50:24, 4.19s/it][Dataset] cur_step=6557 phase=C_full_covt +[Dataset] cur_step=6557 phase=C_full_covt +[Dataset] cur_step=6557 phase=C_full_covt + {'loss': '3.316', 'grad_norm': '3.636', 'learning_rate': '9.414e-06', 'epoch': '0.2359'} + 73%|█████████████████████▊ | 6557/9000 [5:25:29<2:50:24, 4.19s/it] {'lm_loss': '0.3413', 'visual_loss': '2.561', 'seg_loss': '0.5827', 'dino_loss': '0.9092', 'depth_loss': '0.2073', 'vggt_mse_loss': '0.2059', 'vggt_cos_loss': '0.01439', 'pidinet_loss': '0.2849', 'siglip_loss': '0.5766', 'epoch': '0.2359'} + 73%|█████████████████████▊ | 6557/9000 [5:25:32<2:50:24, 4.19s/it][Dataset] cur_step=6558 phase=C_full_covt +[Dataset] cur_step=6558 phase=C_full_covt +[Dataset] cur_step=6558 phase=C_full_covt +[Dataset] cur_step=6558 phase=C_full_covt[Dataset] cur_step=6558 phase=C_full_covt + +[Dataset] cur_step=6558 phase=C_full_covt + 73%|█████████████████████▊ | 6558/9000 [5:25:35<3:16:32, 4.83s/it][Dataset] cur_step=6558 phase=C_full_covt +[Dataset] cur_step=6558 phase=C_full_covt + {'loss': '2.993', 'grad_norm': '2.338', 'learning_rate': '9.407e-06', 'epoch': '0.2359'} + 73%|█████████████████████▊ | 6558/9000 [5:25:35<3:16:32, 4.83s/it] {'lm_loss': '1.055', 'visual_loss': '2.666', 'seg_loss': '0.7316', 'dino_loss': '0.8962', 'depth_loss': '0.3267', 'vggt_mse_loss': '0.3245', 'vggt_cos_loss': '0.02254', 'pidinet_loss': '0.2406', 'siglip_loss': '0.4711', 'epoch': '0.2359'} + 73%|█████████████████████▊ | 6558/9000 [5:25:38<3:16:32, 4.83s/it][Dataset] cur_step=6559 phase=C_full_covt + 73%|█████████████████████▊ | 6559/9000 [5:25:39<3:07:25, 4.61s/it][Dataset] cur_step=6559 phase=C_full_covt[Dataset] cur_step=6559 phase=C_full_covt + +[Dataset] cur_step=6559 phase=C_full_covt[Dataset] cur_step=6559 phase=C_full_covt + +[Dataset] cur_step=6559 phase=C_full_covt[Dataset] cur_step=6559 phase=C_full_covt + +[Dataset] cur_step=6559 phase=C_full_covt + {'loss': '3.093', 'grad_norm': '1.538', 'learning_rate': '9.399e-06', 'epoch': '0.236'} + 73%|█████████████████████▊ | 6559/9000 [5:25:39<3:07:25, 4.61s/it] {'lm_loss': '0.554', 'visual_loss': '2.852', 'seg_loss': '0.8827', 'dino_loss': '0.9219', 'depth_loss': '0.2235', 'vggt_mse_loss': '0.2214', 'vggt_cos_loss': '0.02105', 'pidinet_loss': '0.2462', 'siglip_loss': '0.5777', 'epoch': '0.236'} + 73%|█████████████████████▊ | 6559/9000 [5:25:42<3:07:25, 4.61s/it][Dataset] cur_step=6560 phase=C_full_covt +[Dataset] cur_step=6560 phase=C_full_covt +[Dataset] cur_step=6560 phase=C_full_covt +[Dataset] cur_step=6560 phase=C_full_covt + 73%|█████████████████████▊ | 6560/9000 [5:25:45<3:25:13, 5.05s/it][Dataset] cur_step=6560 phase=C_full_covt +[Dataset] cur_step=6560 phase=C_full_covt +[Dataset] cur_step=6560 phase=C_full_covt +[Dataset] cur_step=6560 phase=C_full_covt + {'loss': '3.022', 'grad_norm': '1.577', 'learning_rate': '9.392e-06', 'epoch': '0.236'} + 73%|█████████████████████▊ | 6560/9000 [5:25:45<3:25:13, 5.05s/it] {'lm_loss': '0.5502', 'visual_loss': '2.621', 'seg_loss': '0.7752', 'dino_loss': '0.8865', 'depth_loss': '0.148', 'vggt_mse_loss': '0.1469', 'vggt_cos_loss': '0.01064', 'pidinet_loss': '0.24', 'siglip_loss': '0.5715', 'epoch': '0.236'} + 73%|█████████████████████▊ | 6560/9000 [5:25:48<3:25:13, 5.05s/it][Dataset] cur_step=6561 phase=C_full_covt +[Dataset] cur_step=6561 phase=C_full_covt +[Dataset] cur_step=6561 phase=C_full_covt[Dataset] cur_step=6561 phase=C_full_covt + +[Dataset] cur_step=6561 phase=C_full_covt 73%|█████████████████████▊ | 6561/9000 [5:25:49<3:09:36, 4.66s/it] +[Dataset] cur_step=6561 phase=C_full_covt[Dataset] cur_step=6561 phase=C_full_covt + +[Dataset] cur_step=6561 phase=C_full_covt + {'loss': '3.12', 'grad_norm': '4.268', 'learning_rate': '9.385e-06', 'epoch': '0.236'} + 73%|█████████████████████▊ | 6561/9000 [5:25:49<3:09:36, 4.66s/it] {'lm_loss': '0.6424', 'visual_loss': '2.557', 'seg_loss': '0.6838', 'dino_loss': '0.9273', 'depth_loss': '0.2553', 'vggt_mse_loss': '0.2534', 'vggt_cos_loss': '0.01854', 'pidinet_loss': '0.248', 'siglip_loss': '0.4425', 'epoch': '0.236'} + 73%|█████████████████████▊ | 6561/9000 [5:25:52<3:09:36, 4.66s/it][Dataset] cur_step=6562 phase=C_full_covt +[Dataset] cur_step=6562 phase=C_full_covt +[Dataset] cur_step=6562 phase=C_full_covt +[Dataset] cur_step=6562 phase=C_full_covt[Dataset] cur_step=6562 phase=C_full_covt + +[Dataset] cur_step=6562 phase=C_full_covt +[Dataset] cur_step=6562 phase=C_full_covt + 73%|█████████████████████▊ | 6562/9000 [5:25:53<2:59:32, 4.42s/it][Dataset] cur_step=6562 phase=C_full_covt + {'loss': '3.07', 'grad_norm': '1.669', 'learning_rate': '9.378e-06', 'epoch': '0.2361'} + 73%|█████████████████████▊ | 6562/9000 [5:25:53<2:59:32, 4.42s/it] {'lm_loss': '0.5118', 'visual_loss': '2.734', 'seg_loss': '0.7696', 'dino_loss': '0.9116', 'depth_loss': '0.2432', 'vggt_mse_loss': '0.2414', 'vggt_cos_loss': '0.01788', 'pidinet_loss': '0.2384', 'siglip_loss': '0.5712', 'epoch': '0.2361'} + 73%|█████████████████████▊ | 6562/9000 [5:25:56<2:59:32, 4.42s/it][Dataset] cur_step=6563 phase=C_full_covt +[Dataset] cur_step=6563 phase=C_full_covt +[Dataset] cur_step=6563 phase=C_full_covt +[Dataset] cur_step=6563 phase=C_full_covt[Dataset] cur_step=6563 phase=C_full_covt + 73%|█████████████████████▉ | 6563/9000 [5:25:57<2:58:44, 4.40s/it] +[Dataset] cur_step=6563 phase=C_full_covt +[Dataset] cur_step=6563 phase=C_full_covt +[Dataset] cur_step=6563 phase=C_full_covt + {'loss': '3.082', 'grad_norm': '1.932', 'learning_rate': '9.371e-06', 'epoch': '0.2361'} + 73%|█████████████████████▉ | 6563/9000 [5:25:57<2:58:44, 4.40s/it] {'lm_loss': '0.3397', 'visual_loss': '2.713', 'seg_loss': '0.7507', 'dino_loss': '0.9143', 'depth_loss': '0.2609', 'vggt_mse_loss': '0.2591', 'vggt_cos_loss': '0.01842', 'pidinet_loss': '0.2946', 'siglip_loss': '0.4922', 'epoch': '0.2361'} + 73%|█████████████████████▉ | 6563/9000 [5:26:01<2:58:44, 4.40s/it][Dataset] cur_step=6564 phase=C_full_covt +[Dataset] cur_step=6564 phase=C_full_covt +[Dataset] cur_step=6564 phase=C_full_covt +[Dataset] cur_step=6564 phase=C_full_covt +[Dataset] cur_step=6564 phase=C_full_covt +[Dataset] cur_step=6564 phase=C_full_covt +[Dataset] cur_step=6564 phase=C_full_covt +[Dataset] cur_step=6564 phase=C_full_covt 73%|█████████████████████▉ | 6564/9000 [5:26:01<2:56:53, 4.36s/it] + {'loss': '2.935', 'grad_norm': '1.981', 'learning_rate': '9.364e-06', 'epoch': '0.2361'} + 73%|█████████████████████▉ | 6564/9000 [5:26:01<2:56:53, 4.36s/it] {'lm_loss': '0.357', 'visual_loss': '2.873', 'seg_loss': '0.7727', 'dino_loss': '0.8903', 'depth_loss': '0.1984', 'vggt_mse_loss': '0.1971', 'vggt_cos_loss': '0.01375', 'pidinet_loss': '0.2627', 'siglip_loss': '0.7486', 'epoch': '0.2361'} + 73%|█████████████████████▉ | 6564/9000 [5:26:04<2:56:53, 4.36s/it][Dataset] cur_step=6565 phase=C_full_covt +[Dataset] cur_step=6565 phase=C_full_covt +[Dataset] cur_step=6565 phase=C_full_covt +[Dataset] cur_step=6565 phase=C_full_covt +[Dataset] cur_step=6565 phase=C_full_covt + 73%|█████████████████████▉ | 6565/9000 [5:26:05<2:54:52, 4.31s/it][Dataset] cur_step=6565 phase=C_full_covt +[Dataset] cur_step=6565 phase=C_full_covt +[Dataset] cur_step=6565 phase=C_full_covt + {'loss': '3.004', 'grad_norm': '2.024', 'learning_rate': '9.356e-06', 'epoch': '0.2362'} + 73%|█████████████████████▉ | 6565/9000 [5:26:05<2:54:52, 4.31s/it] {'lm_loss': '0.366', 'visual_loss': '2.531', 'seg_loss': '0.7268', 'dino_loss': '0.9197', 'depth_loss': '0.221', 'vggt_mse_loss': '0.2192', 'vggt_cos_loss': '0.01828', 'pidinet_loss': '0.257', 'siglip_loss': '0.4066', 'epoch': '0.2362'} + 73%|█████████████████████▉ | 6565/9000 [5:26:09<2:54:52, 4.31s/it][Dataset] cur_step=6566 phase=C_full_covt +[Dataset] cur_step=6566 phase=C_full_covt + 73%|█████████████████████▉ | 6566/9000 [5:26:10<2:53:02, 4.27s/it][Dataset] cur_step=6566 phase=C_full_covt +[Dataset] cur_step=6566 phase=C_full_covt +[Dataset] cur_step=6566 phase=C_full_covt +[Dataset] cur_step=6566 phase=C_full_covt +[Dataset] cur_step=6566 phase=C_full_covt +[Dataset] cur_step=6566 phase=C_full_covt + {'loss': '2.922', 'grad_norm': '1.681', 'learning_rate': '9.349e-06', 'epoch': '0.2362'} + 73%|█████████████████████▉ | 6566/9000 [5:26:10<2:53:02, 4.27s/it] {'lm_loss': '0.5046', 'visual_loss': '2.512', 'seg_loss': '0.6582', 'dino_loss': '0.8872', 'depth_loss': '0.1828', 'vggt_mse_loss': '0.182', 'vggt_cos_loss': '0.008571', 'pidinet_loss': '0.233', 'siglip_loss': '0.5502', 'epoch': '0.2362'} + 73%|█████████████████████▉ | 6566/9000 [5:26:13<2:53:02, 4.27s/it][Dataset] cur_step=6567 phase=C_full_covt +[Dataset] cur_step=6567 phase=C_full_covt + 73%|█████████████████████▉ | 6567/9000 [5:26:14<2:49:39, 4.18s/it][Dataset] cur_step=6567 phase=C_full_covt[Dataset] cur_step=6567 phase=C_full_covt + +[Dataset] cur_step=6567 phase=C_full_covt +[Dataset] cur_step=6567 phase=C_full_covt +[Dataset] cur_step=6567 phase=C_full_covt +[Dataset] cur_step=6567 phase=C_full_covt + {'loss': '3.171', 'grad_norm': '2.043', 'learning_rate': '9.342e-06', 'epoch': '0.2362'} + 73%|█████████████████████▉ | 6567/9000 [5:26:14<2:49:39, 4.18s/it] {'lm_loss': '0.4244', 'visual_loss': '2.315', 'seg_loss': '0.6116', 'dino_loss': '0.896', 'depth_loss': '0.2038', 'vggt_mse_loss': '0.2025', 'vggt_cos_loss': '0.01318', 'pidinet_loss': '0.1649', 'siglip_loss': '0.439', 'epoch': '0.2362'} + 73%|█████████████████████▉ | 6567/9000 [5:26:17<2:49:39, 4.18s/it][Dataset] cur_step=6568 phase=C_full_covt[Dataset] cur_step=6568 phase=C_full_covt + + 73%|█████████████████████▉ | 6568/9000 [5:26:18<2:50:17, 4.20s/it][Dataset] cur_step=6568 phase=C_full_covt +[Dataset] cur_step=6568 phase=C_full_covt +[Dataset] cur_step=6568 phase=C_full_covt[Dataset] cur_step=6568 phase=C_full_covt + +[Dataset] cur_step=6568 phase=C_full_covt +[Dataset] cur_step=6568 phase=C_full_covt + {'loss': '3.153', 'grad_norm': '1.492', 'learning_rate': '9.335e-06', 'epoch': '0.2363'} + 73%|█████████████████████▉ | 6568/9000 [5:26:18<2:50:17, 4.20s/it] {'lm_loss': '0.2866', 'visual_loss': '2.857', 'seg_loss': '0.7348', 'dino_loss': '0.9163', 'depth_loss': '0.3397', 'vggt_mse_loss': '0.3373', 'vggt_cos_loss': '0.02392', 'pidinet_loss': '0.3027', 'siglip_loss': '0.5639', 'epoch': '0.2363'} + 73%|█████████████████████▉ | 6568/9000 [5:26:21<2:50:17, 4.20s/it][Dataset] cur_step=6569 phase=C_full_covt +[Dataset] cur_step=6569 phase=C_full_covt + 73%|█████████████████████▉ | 6569/9000 [5:26:22<2:49:28, 4.18s/it][Dataset] cur_step=6569 phase=C_full_covt +[Dataset] cur_step=6569 phase=C_full_covt[Dataset] cur_step=6569 phase=C_full_covt + +[Dataset] cur_step=6569 phase=C_full_covt +[Dataset] cur_step=6569 phase=C_full_covt +[Dataset] cur_step=6569 phase=C_full_covt + {'loss': '3.283', 'grad_norm': '1.984', 'learning_rate': '9.328e-06', 'epoch': '0.2363'} + 73%|█████████████████████▉ | 6569/9000 [5:26:22<2:49:28, 4.18s/it] {'lm_loss': '0.608', 'visual_loss': '2.858', 'seg_loss': '0.7045', 'dino_loss': '0.9263', 'depth_loss': '0.2357', 'vggt_mse_loss': '0.2338', 'vggt_cos_loss': '0.01951', 'pidinet_loss': '0.239', 'siglip_loss': '0.7522', 'epoch': '0.2363'} + 73%|█████████████████████▉ | 6569/9000 [5:26:25<2:49:28, 4.18s/it][Dataset] cur_step=6570 phase=C_full_covt +[Dataset] cur_step=6570 phase=C_full_covt[Dataset] cur_step=6570 phase=C_full_covt + +[Dataset] cur_step=6570 phase=C_full_covt + 73%|█████████████████████▉ | 6570/9000 [5:26:26<2:50:21, 4.21s/it][Dataset] cur_step=6570 phase=C_full_covt +[Dataset] cur_step=6570 phase=C_full_covt[Dataset] cur_step=6570 phase=C_full_covt + +[Dataset] cur_step=6570 phase=C_full_covt + {'loss': '3.11', 'grad_norm': '2.285', 'learning_rate': '9.321e-06', 'epoch': '0.2364'} + 73%|█████████████████████▉ | 6570/9000 [5:26:26<2:50:21, 4.21s/it] {'lm_loss': '1.039', 'visual_loss': '3.105', 'seg_loss': '0.7431', 'dino_loss': '0.9285', 'depth_loss': '0.3533', 'vggt_mse_loss': '0.3504', 'vggt_cos_loss': '0.0292', 'pidinet_loss': '0.2744', 'siglip_loss': '0.8061', 'epoch': '0.2364'} + 73%|█████████████████████▉ | 6570/9000 [5:26:29<2:50:21, 4.21s/it][Dataset] cur_step=6571 phase=C_full_covt +[Dataset] cur_step=6571 phase=C_full_covt +[Dataset] cur_step=6571 phase=C_full_covt[Dataset] cur_step=6571 phase=C_full_covt +[Dataset] cur_step=6571 phase=C_full_covt + +[Dataset] cur_step=6571 phase=C_full_covt + 73%|█████████████████████▉ | 6571/9000 [5:26:30<2:44:40, 4.07s/it][Dataset] cur_step=6571 phase=C_full_covt +[Dataset] cur_step=6571 phase=C_full_covt + {'loss': '3.056', 'grad_norm': '2.609', 'learning_rate': '9.313e-06', 'epoch': '0.2364'} + 73%|█████████████████████▉ | 6571/9000 [5:26:30<2:44:40, 4.07s/it] {'lm_loss': '0.5204', 'visual_loss': '2.571', 'seg_loss': '0.7252', 'dino_loss': '0.9117', 'depth_loss': '0.2925', 'vggt_mse_loss': '0.2906', 'vggt_cos_loss': '0.01929', 'pidinet_loss': '0.2042', 'siglip_loss': '0.4378', 'epoch': '0.2364'} + 73%|█████████████████████▉ | 6571/9000 [5:26:33<2:44:40, 4.07s/it][Dataset] cur_step=6572 phase=C_full_covt +[Dataset] cur_step=6572 phase=C_full_covt[Dataset] cur_step=6572 phase=C_full_covt + +[Dataset] cur_step=6572 phase=C_full_covt + 73%|█████████████████████▉ | 6572/9000 [5:26:34<2:42:51, 4.02s/it][Dataset] cur_step=6572 phase=C_full_covt +[Dataset] cur_step=6572 phase=C_full_covt +[Dataset] cur_step=6572 phase=C_full_covt +[Dataset] cur_step=6572 phase=C_full_covt + {'loss': '3.06', 'grad_norm': '2.268', 'learning_rate': '9.306e-06', 'epoch': '0.2364'} + 73%|█████████████████████▉ | 6572/9000 [5:26:34<2:42:51, 4.02s/it] {'lm_loss': '0.3906', 'visual_loss': '2.764', 'seg_loss': '0.6568', 'dino_loss': '0.9139', 'depth_loss': '0.3768', 'vggt_mse_loss': '0.3735', 'vggt_cos_loss': '0.03334', 'pidinet_loss': '0.2604', 'siglip_loss': '0.5561', 'epoch': '0.2364'} + 73%|█████████████████████▉ | 6572/9000 [5:26:37<2:42:51, 4.02s/it][Dataset] cur_step=6573 phase=C_full_covt +[Dataset] cur_step=6573 phase=C_full_covt +[Dataset] cur_step=6573 phase=C_full_covt[Dataset] cur_step=6573 phase=C_full_covt + + 73%|█████████████████████▉ | 6573/9000 [5:26:40<3:05:35, 4.59s/it][Dataset] cur_step=6573 phase=C_full_covt +[Dataset] cur_step=6573 phase=C_full_covt +[Dataset] cur_step=6573 phase=C_full_covt +[Dataset] cur_step=6573 phase=C_full_covt + {'loss': '3.205', 'grad_norm': '2.838', 'learning_rate': '9.299e-06', 'epoch': '0.2365'} + 73%|█████████████████████▉ | 6573/9000 [5:26:40<3:05:35, 4.59s/it] {'lm_loss': '0.01245', 'visual_loss': '2.64', 'seg_loss': '0.7106', 'dino_loss': '0.8516', 'depth_loss': '0.3077', 'vggt_mse_loss': '0.305', 'vggt_cos_loss': '0.02661', 'pidinet_loss': '0.2576', 'siglip_loss': '0.5128', 'epoch': '0.2365'} + 73%|█████████████████████▉ | 6573/9000 [5:26:43<3:05:35, 4.59s/it][Dataset] cur_step=6574 phase=C_full_covt +[Dataset] cur_step=6574 phase=C_full_covt +[Dataset] cur_step=6574 phase=C_full_covt +[Dataset] cur_step=6574 phase=C_full_covt[Dataset] cur_step=6574 phase=C_full_covt[Dataset] cur_step=6574 phase=C_full_covt + + +[Dataset] cur_step=6574 phase=C_full_covt +[Dataset] cur_step=6574 phase=C_full_covt + 73%|█████████████████████▉ | 6574/9000 [5:26:44<3:02:11, 4.51s/it] {'loss': '2.945', 'grad_norm': '2.662', 'learning_rate': '9.292e-06', 'epoch': '0.2365'} + 73%|█████████████████████▉ | 6574/9000 [5:26:44<3:02:11, 4.51s/it] {'lm_loss': '0.2165', 'visual_loss': '2.465', 'seg_loss': '0.7181', 'dino_loss': '0.9118', 'depth_loss': '0.2297', 'vggt_mse_loss': '0.2283', 'vggt_cos_loss': '0.01358', 'pidinet_loss': '0.1982', 'siglip_loss': '0.4071', 'epoch': '0.2365'} + 73%|█████████████████████▉ | 6574/9000 [5:26:47<3:02:11, 4.51s/it][Dataset] cur_step=6575 phase=C_full_covt[Dataset] cur_step=6575 phase=C_full_covt +[Dataset] cur_step=6575 phase=C_full_covt +[Dataset] cur_step=6575 phase=C_full_covt +[Dataset] cur_step=6575 phase=C_full_covt + + 73%|█████████████████████▉ | 6575/9000 [5:26:48<2:54:39, 4.32s/it][Dataset] cur_step=6575 phase=C_full_covt +[Dataset] cur_step=6575 phase=C_full_covt +[Dataset] cur_step=6575 phase=C_full_covt + {'loss': '2.973', 'grad_norm': '2.105', 'learning_rate': '9.285e-06', 'epoch': '0.2365'} + 73%|█████████████████████▉ | 6575/9000 [5:26:48<2:54:39, 4.32s/it] {'lm_loss': '0.4788', 'visual_loss': '2.766', 'seg_loss': '0.7863', 'dino_loss': '0.9026', 'depth_loss': '0.3256', 'vggt_mse_loss': '0.3232', 'vggt_cos_loss': '0.02454', 'pidinet_loss': '0.2164', 'siglip_loss': '0.5353', 'epoch': '0.2365'} + 73%|█████████████████████▉ | 6575/9000 [5:26:51<2:54:39, 4.32s/it][Dataset] cur_step=6576 phase=C_full_covt +[Dataset] cur_step=6576 phase=C_full_covt[Dataset] cur_step=6576 phase=C_full_covt[Dataset] cur_step=6576 phase=C_full_covt + + +[Dataset] cur_step=6576 phase=C_full_covt[Dataset] cur_step=6576 phase=C_full_covt + + 73%|█████████████████████▉ | 6576/9000 [5:26:52<2:49:38, 4.20s/it][Dataset] cur_step=6576 phase=C_full_covt +[Dataset] cur_step=6576 phase=C_full_covt + {'loss': '3.191', 'grad_norm': '1.756', 'learning_rate': '9.278e-06', 'epoch': '0.2366'} + 73%|█████████████████████▉ | 6576/9000 [5:26:52<2:49:38, 4.20s/it] {'lm_loss': '0.6527', 'visual_loss': '2.887', 'seg_loss': '0.7471', 'dino_loss': '0.9123', 'depth_loss': '0.3831', 'vggt_mse_loss': '0.3808', 'vggt_cos_loss': '0.02346', 'pidinet_loss': '0.2105', 'siglip_loss': '0.6336', 'epoch': '0.2366'} + 73%|█████████████████████▉ | 6576/9000 [5:26:59<2:49:38, 4.20s/it][Dataset] cur_step=6577 phase=C_full_covt[Dataset] cur_step=6577 phase=C_full_covt + + 73%|█████████████████████▉ | 6577/9000 [5:26:59<3:23:52, 5.05s/it][Dataset] cur_step=6577 phase=C_full_covt +[Dataset] cur_step=6577 phase=C_full_covt +[Dataset] cur_step=6577 phase=C_full_covt +[Dataset] cur_step=6577 phase=C_full_covt +[Dataset] cur_step=6577 phase=C_full_covt +[Dataset] cur_step=6577 phase=C_full_covt + {'loss': '3.215', 'grad_norm': '2.861', 'learning_rate': '9.271e-06', 'epoch': '0.2366'} + 73%|█████████████████████▉ | 6577/9000 [5:26:59<3:23:52, 5.05s/it] {'lm_loss': '0.2689', 'visual_loss': '2.778', 'seg_loss': '0.8115', 'dino_loss': '0.9396', 'depth_loss': '0.2255', 'vggt_mse_loss': '0.2239', 'vggt_cos_loss': '0.01651', 'pidinet_loss': '0.2068', 'siglip_loss': '0.5942', 'epoch': '0.2366'} + 73%|█████████████████████▉ | 6577/9000 [5:27:02<3:23:52, 5.05s/it][Dataset] cur_step=6578 phase=C_full_covt +[Dataset] cur_step=6578 phase=C_full_covt +[Dataset] cur_step=6578 phase=C_full_covt +[Dataset] cur_step=6578 phase=C_full_covt +[Dataset] cur_step=6578 phase=C_full_covt +[Dataset] cur_step=6578 phase=C_full_covt + 73%|█████████████████████▉ | 6578/9000 [5:27:03<3:17:18, 4.89s/it][Dataset] cur_step=6578 phase=C_full_covt +[Dataset] cur_step=6578 phase=C_full_covt + {'loss': '3.244', 'grad_norm': '2.401', 'learning_rate': '9.263e-06', 'epoch': '0.2366'} + 73%|█████████████████████▉ | 6578/9000 [5:27:03<3:17:18, 4.89s/it] {'lm_loss': '0.5749', 'visual_loss': '2.657', 'seg_loss': '0.7023', 'dino_loss': '0.9009', 'depth_loss': '0.2926', 'vggt_mse_loss': '0.2908', 'vggt_cos_loss': '0.01808', 'pidinet_loss': '0.2312', 'siglip_loss': '0.5305', 'epoch': '0.2366'} + 73%|█████████████████████▉ | 6578/9000 [5:27:07<3:17:18, 4.89s/it][Dataset] cur_step=6579 phase=C_full_covt +[Dataset] cur_step=6579 phase=C_full_covt[Dataset] cur_step=6579 phase=C_full_covt + + 73%|█████████████████████▉ | 6579/9000 [5:27:08<3:14:10, 4.81s/it][Dataset] cur_step=6579 phase=C_full_covt +[Dataset] cur_step=6579 phase=C_full_covt +[Dataset] cur_step=6579 phase=C_full_covt[Dataset] cur_step=6579 phase=C_full_covt + +[Dataset] cur_step=6579 phase=C_full_covt + {'loss': '3.025', 'grad_norm': '2.342', 'learning_rate': '9.256e-06', 'epoch': '0.2367'} + 73%|█████████████████████▉ | 6579/9000 [5:27:08<3:14:10, 4.81s/it] {'lm_loss': '0.7567', 'visual_loss': '2.671', 'seg_loss': '0.6913', 'dino_loss': '0.9077', 'depth_loss': '0.2871', 'vggt_mse_loss': '0.285', 'vggt_cos_loss': '0.02084', 'pidinet_loss': '0.238', 'siglip_loss': '0.5468', 'epoch': '0.2367'} + 73%|█████████████████████▉ | 6579/9000 [5:27:11<3:14:10, 4.81s/it][Dataset] cur_step=6580 phase=C_full_covt +[Dataset] cur_step=6580 phase=C_full_covt +[Dataset] cur_step=6580 phase=C_full_covt +[Dataset] cur_step=6580 phase=C_full_covt[Dataset] cur_step=6580 phase=C_full_covt +[Dataset] cur_step=6580 phase=C_full_covt + +[Dataset] cur_step=6580 phase=C_full_covt 73%|█████████████████████▉ | 6580/9000 [5:27:12<2:59:16, 4.44s/it][Dataset] cur_step=6580 phase=C_full_covt + + {'loss': '3.056', 'grad_norm': '3.013', 'learning_rate': '9.249e-06', 'epoch': '0.2367'} + 73%|█████████████████████▉ | 6580/9000 [5:27:12<2:59:16, 4.44s/it] {'lm_loss': '0.4361', 'visual_loss': '2.763', 'seg_loss': '0.7643', 'dino_loss': '0.917', 'depth_loss': '0.2428', 'vggt_mse_loss': '0.2409', 'vggt_cos_loss': '0.0195', 'pidinet_loss': '0.2385', 'siglip_loss': '0.6', 'epoch': '0.2367'} + 73%|█████████████████████▉ | 6580/9000 [5:27:15<2:59:16, 4.44s/it][Dataset] cur_step=6581 phase=C_full_covt +[Dataset] cur_step=6581 phase=C_full_covt +[Dataset] cur_step=6581 phase=C_full_covt[Dataset] cur_step=6581 phase=C_full_covt + +[Dataset] cur_step=6581 phase=C_full_covt + 73%|█████████████████████▉ | 6581/9000 [5:27:16<2:54:02, 4.32s/it][Dataset] cur_step=6581 phase=C_full_covt[Dataset] cur_step=6581 phase=C_full_covt + +[Dataset] cur_step=6581 phase=C_full_covt + {'loss': '3.022', 'grad_norm': '2.438', 'learning_rate': '9.242e-06', 'epoch': '0.2368'} + 73%|█████████████████████▉ | 6581/9000 [5:27:16<2:54:02, 4.32s/it] {'lm_loss': '0.4073', 'visual_loss': '2.863', 'seg_loss': '0.7077', 'dino_loss': '0.9317', 'depth_loss': '0.4492', 'vggt_mse_loss': '0.4453', 'vggt_cos_loss': '0.03943', 'pidinet_loss': '0.2502', 'siglip_loss': '0.5243', 'epoch': '0.2368'} + 73%|█████████████████████▉ | 6581/9000 [5:27:19<2:54:02, 4.32s/it][Dataset] cur_step=6582 phase=C_full_covt +[Dataset] cur_step=6582 phase=C_full_covt[Dataset] cur_step=6582 phase=C_full_covt[Dataset] cur_step=6582 phase=C_full_covt + + + 73%|█████████████████████▉ | 6582/9000 [5:27:20<2:51:35, 4.26s/it][Dataset] cur_step=6582 phase=C_full_covt[Dataset] cur_step=6582 phase=C_full_covt +[Dataset] cur_step=6582 phase=C_full_covt + +[Dataset] cur_step=6582 phase=C_full_covt + {'loss': '2.894', 'grad_norm': '2.32', 'learning_rate': '9.235e-06', 'epoch': '0.2368'} + 73%|█████████████████████▉ | 6582/9000 [5:27:20<2:51:35, 4.26s/it] {'lm_loss': '0.6364', 'visual_loss': '2.88', 'seg_loss': '0.8037', 'dino_loss': '0.925', 'depth_loss': '0.2327', 'vggt_mse_loss': '0.2312', 'vggt_cos_loss': '0.01526', 'pidinet_loss': '0.2151', 'siglip_loss': '0.7038', 'epoch': '0.2368'} + 73%|█████████████████████▉ | 6582/9000 [5:27:23<2:51:35, 4.26s/it][Dataset] cur_step=6583 phase=C_full_covt +[Dataset] cur_step=6583 phase=C_full_covt +[Dataset] cur_step=6583 phase=C_full_covt +[Dataset] cur_step=6583 phase=C_full_covt +[Dataset] cur_step=6583 phase=C_full_covt +[Dataset] cur_step=6583 phase=C_full_covt +[Dataset] cur_step=6583 phase=C_full_covt + 73%|█████████████████████▉ | 6583/9000 [5:27:24<2:52:22, 4.28s/it][Dataset] cur_step=6583 phase=C_full_covt + {'loss': '3.338', 'grad_norm': '1.918', 'learning_rate': '9.228e-06', 'epoch': '0.2368'} + 73%|█████████████████████▉ | 6583/9000 [5:27:24<2:52:22, 4.28s/it] {'lm_loss': '0.8723', 'visual_loss': '2.573', 'seg_loss': '0.5577', 'dino_loss': '0.9232', 'depth_loss': '0.2063', 'vggt_mse_loss': '0.2051', 'vggt_cos_loss': '0.0124', 'pidinet_loss': '0.2636', 'siglip_loss': '0.6227', 'epoch': '0.2368'} + 73%|█████████████████████▉ | 6583/9000 [5:27:29<2:52:22, 4.28s/it][Dataset] cur_step=6584 phase=C_full_covt +[Dataset] cur_step=6584 phase=C_full_covt[Dataset] cur_step=6584 phase=C_full_covt 73%|█████████████████████▉ | 6584/9000 [5:27:29<2:58:35, 4.44s/it] + +[Dataset] cur_step=6584 phase=C_full_covt +[Dataset] cur_step=6584 phase=C_full_covt +[Dataset] cur_step=6584 phase=C_full_covt +[Dataset] cur_step=6584 phase=C_full_covt +[Dataset] cur_step=6584 phase=C_full_covt + {'loss': '3.207', 'grad_norm': '2.038', 'learning_rate': '9.221e-06', 'epoch': '0.2369'} + 73%|█████████████████████▉ | 6584/9000 [5:27:29<2:58:35, 4.44s/it] {'lm_loss': '0.4025', 'visual_loss': '2.767', 'seg_loss': '0.7642', 'dino_loss': '0.8942', 'depth_loss': '0.3022', 'vggt_mse_loss': '0.2999', 'vggt_cos_loss': '0.02323', 'pidinet_loss': '0.2193', 'siglip_loss': '0.5871', 'epoch': '0.2369'} + 73%|█████████████████████▉ | 6584/9000 [5:27:32<2:58:35, 4.44s/it][Dataset] cur_step=6585 phase=C_full_covt +[Dataset] cur_step=6585 phase=C_full_covt +[Dataset] cur_step=6585 phase=C_full_covt +[Dataset] cur_step=6585 phase=C_full_covt + 73%|█████████████████████▉ | 6585/9000 [5:27:33<2:52:46, 4.29s/it][Dataset] cur_step=6585 phase=C_full_covt +[Dataset] cur_step=6585 phase=C_full_covt +[Dataset] cur_step=6585 phase=C_full_covt +[Dataset] cur_step=6585 phase=C_full_covt + {'loss': '3.234', 'grad_norm': '2.407', 'learning_rate': '9.214e-06', 'epoch': '0.2369'} + 73%|█████████████████████▉ | 6585/9000 [5:27:33<2:52:46, 4.29s/it] {'lm_loss': '0.00807', 'visual_loss': '2.746', 'seg_loss': '0.8107', 'dino_loss': '0.8728', 'depth_loss': '0.1726', 'vggt_mse_loss': '0.1714', 'vggt_cos_loss': '0.01186', 'pidinet_loss': '0.253', 'siglip_loss': '0.6371', 'epoch': '0.2369'} + 73%|█████████████████████▉ | 6585/9000 [5:27:36<2:52:46, 4.29s/it][Dataset] cur_step=6586 phase=C_full_covt +[Dataset] cur_step=6586 phase=C_full_covt +[Dataset] cur_step=6586 phase=C_full_covt[Dataset] cur_step=6586 phase=C_full_covt + +[Dataset] cur_step=6586 phase=C_full_covt +[Dataset] cur_step=6586 phase=C_full_covt +[Dataset] cur_step=6586 phase=C_full_covt +[Dataset] cur_step=6586 phase=C_full_covt + 73%|█████████████████████▉ | 6586/9000 [5:27:37<2:51:22, 4.26s/it] {'loss': '3.057', 'grad_norm': '2.055', 'learning_rate': '9.206e-06', 'epoch': '0.2369'} + 73%|█████████████████████▉ | 6586/9000 [5:27:37<2:51:22, 4.26s/it] {'lm_loss': '0.9418', 'visual_loss': '2.573', 'seg_loss': '0.67', 'dino_loss': '0.9084', 'depth_loss': '0.2389', 'vggt_mse_loss': '0.2374', 'vggt_cos_loss': '0.01486', 'pidinet_loss': '0.1725', 'siglip_loss': '0.5837', 'epoch': '0.2369'} + 73%|█████████████████████▉ | 6586/9000 [5:27:41<2:51:22, 4.26s/it][Dataset] cur_step=6587 phase=C_full_covt +[Dataset] cur_step=6587 phase=C_full_covt +[Dataset] cur_step=6587 phase=C_full_covt +[Dataset] cur_step=6587 phase=C_full_covt[Dataset] cur_step=6587 phase=C_full_covt +[Dataset] cur_step=6587 phase=C_full_covt +[Dataset] cur_step=6587 phase=C_full_covt +[Dataset] cur_step=6587 phase=C_full_covt + + 73%|█████████████████████▉ | 6587/9000 [5:27:41<2:48:33, 4.19s/it] {'loss': '3.299', 'grad_norm': '2.779', 'learning_rate': '9.199e-06', 'epoch': '0.237'} + 73%|█████████████████████▉ | 6587/9000 [5:27:41<2:48:33, 4.19s/it] {'lm_loss': '0.000389', 'visual_loss': '2.384', 'seg_loss': '0.6993', 'dino_loss': '0.8926', 'depth_loss': '0.2894', 'vggt_mse_loss': '0.2878', 'vggt_cos_loss': '0.01615', 'pidinet_loss': '0.1775', 'siglip_loss': '0.3253', 'epoch': '0.237'} + 73%|█████████████████████▉ | 6587/9000 [5:27:45<2:48:33, 4.19s/it][Dataset] cur_step=6588 phase=C_full_covt[Dataset] cur_step=6588 phase=C_full_covt + +[Dataset] cur_step=6588 phase=C_full_covt +[Dataset] cur_step=6588 phase=C_full_covt +[Dataset] cur_step=6588 phase=C_full_covt +[Dataset] cur_step=6588 phase=C_full_covt +[Dataset] cur_step=6588 phase=C_full_covt +[Dataset] cur_step=6588 phase=C_full_covt + 73%|█████████████████████▉ | 6588/9000 [5:27:45<2:47:35, 4.17s/it] {'loss': '3.168', 'grad_norm': '1.737', 'learning_rate': '9.192e-06', 'epoch': '0.237'} + 73%|█████████████████████▉ | 6588/9000 [5:27:45<2:47:35, 4.17s/it] {'lm_loss': '0.0343', 'visual_loss': '2.6', 'seg_loss': '0.7086', 'dino_loss': '0.8759', 'depth_loss': '0.2601', 'vggt_mse_loss': '0.2588', 'vggt_cos_loss': '0.01309', 'pidinet_loss': '0.2232', 'siglip_loss': '0.5321', 'epoch': '0.237'} + 73%|█████████████████████▉ | 6588/9000 [5:27:48<2:47:35, 4.17s/it][Dataset] cur_step=6589 phase=C_full_covt +[Dataset] cur_step=6589 phase=C_full_covt +[Dataset] cur_step=6589 phase=C_full_covt[Dataset] cur_step=6589 phase=C_full_covt + +[Dataset] cur_step=6589 phase=C_full_covt[Dataset] cur_step=6589 phase=C_full_covt[Dataset] cur_step=6589 phase=C_full_covt + + +[Dataset] cur_step=6589 phase=C_full_covt + 73%|█████████████████████▉ | 6589/9000 [5:27:49<2:46:04, 4.13s/it] {'loss': '2.922', 'grad_norm': '3.182', 'learning_rate': '9.185e-06', 'epoch': '0.237'} + 73%|█████████████████████▉ | 6589/9000 [5:27:49<2:46:04, 4.13s/it] {'lm_loss': '0.004251', 'visual_loss': '2.438', 'seg_loss': '0.7204', 'dino_loss': '0.8939', 'depth_loss': '0.2037', 'vggt_mse_loss': '0.2024', 'vggt_cos_loss': '0.01374', 'pidinet_loss': '0.1477', 'siglip_loss': '0.4722', 'epoch': '0.237'} + 73%|█████████████████████▉ | 6589/9000 [5:27:53<2:46:04, 4.13s/it][Dataset] cur_step=6590 phase=C_full_covt +[Dataset] cur_step=6590 phase=C_full_covt +[Dataset] cur_step=6590 phase=C_full_covt +[Dataset] cur_step=6590 phase=C_full_covt +[Dataset] cur_step=6590 phase=C_full_covt +[Dataset] cur_step=6590 phase=C_full_covt + 73%|█████████████████████▉ | 6590/9000 [5:27:53<2:44:00, 4.08s/it][Dataset] cur_step=6590 phase=C_full_covt +[Dataset] cur_step=6590 phase=C_full_covt + {'loss': '2.941', 'grad_norm': '1.629', 'learning_rate': '9.178e-06', 'epoch': '0.2371'} + 73%|█████████████████████▉ | 6590/9000 [5:27:53<2:44:00, 4.08s/it] {'lm_loss': '0.0007087', 'visual_loss': '2.36', 'seg_loss': '0.7013', 'dino_loss': '0.8842', 'depth_loss': '0.2088', 'vggt_mse_loss': '0.2074', 'vggt_cos_loss': '0.01398', 'pidinet_loss': '0.1505', 'siglip_loss': '0.4151', 'epoch': '0.2371'} + 73%|█████████████████████▉ | 6590/9000 [5:27:57<2:44:00, 4.08s/it][Dataset] cur_step=6591 phase=C_full_covt +[Dataset] cur_step=6591 phase=C_full_covt +[Dataset] cur_step=6591 phase=C_full_covt +[Dataset] cur_step=6591 phase=C_full_covt[Dataset] cur_step=6591 phase=C_full_covt + + 73%|█████████████████████▉ | 6591/9000 [5:27:57<2:42:44, 4.05s/it][Dataset] cur_step=6591 phase=C_full_covt +[Dataset] cur_step=6591 phase=C_full_covt +[Dataset] cur_step=6591 phase=C_full_covt + {'loss': '3.125', 'grad_norm': '2.354', 'learning_rate': '9.171e-06', 'epoch': '0.2371'} + 73%|█████████████████████▉ | 6591/9000 [5:27:57<2:42:44, 4.05s/it] {'lm_loss': '0.4955', 'visual_loss': '2.594', 'seg_loss': '0.5921', 'dino_loss': '0.9046', 'depth_loss': '0.3224', 'vggt_mse_loss': '0.3195', 'vggt_cos_loss': '0.0291', 'pidinet_loss': '0.3301', 'siglip_loss': '0.4447', 'epoch': '0.2371'} + 73%|█████████████████████▉ | 6591/9000 [5:28:01<2:42:44, 4.05s/it][Dataset] cur_step=6592 phase=C_full_covt +[Dataset] cur_step=6592 phase=C_full_covt +[Dataset] cur_step=6592 phase=C_full_covt +[Dataset] cur_step=6592 phase=C_full_covt +[Dataset] cur_step=6592 phase=C_full_covt +[Dataset] cur_step=6592 phase=C_full_covt +[Dataset] cur_step=6592 phase=C_full_covt +[Dataset] cur_step=6592 phase=C_full_covt + 73%|█████████████████████▉ | 6592/9000 [5:28:02<2:45:19, 4.12s/it] {'loss': '3.131', 'grad_norm': '3.989', 'learning_rate': '9.164e-06', 'epoch': '0.2371'} + 73%|█████████████████████▉ | 6592/9000 [5:28:02<2:45:19, 4.12s/it] {'lm_loss': '0.2371', 'visual_loss': '2.702', 'seg_loss': '0.7356', 'dino_loss': '0.8947', 'depth_loss': '0.3372', 'vggt_mse_loss': '0.3343', 'vggt_cos_loss': '0.02884', 'pidinet_loss': '0.244', 'siglip_loss': '0.4905', 'epoch': '0.2371'} + 73%|█████████████████████▉ | 6592/9000 [5:28:04<2:45:19, 4.12s/it][Dataset] cur_step=6593 phase=C_full_covt +[Dataset] cur_step=6593 phase=C_full_covt +[Dataset] cur_step=6593 phase=C_full_covt +[Dataset] cur_step=6593 phase=C_full_covt +[Dataset] cur_step=6593 phase=C_full_covt +[Dataset] cur_step=6593 phase=C_full_covt +[Dataset] cur_step=6593 phase=C_full_covt +[Dataset] cur_step=6593 phase=C_full_covt + 73%|█████████████████████▉ | 6593/9000 [5:28:05<2:39:34, 3.98s/it] {'loss': '2.94', 'grad_norm': '2.744', 'learning_rate': '9.157e-06', 'epoch': '0.2372'} + 73%|█████████████████████▉ | 6593/9000 [5:28:05<2:39:34, 3.98s/it] {'lm_loss': '0.3702', 'visual_loss': '2.508', 'seg_loss': '0.7608', 'dino_loss': '0.9144', 'depth_loss': '0.2265', 'vggt_mse_loss': '0.2248', 'vggt_cos_loss': '0.01689', 'pidinet_loss': '0.171', 'siglip_loss': '0.4357', 'epoch': '0.2372'} + 73%|█████████████████████▉ | 6593/9000 [5:28:08<2:39:34, 3.98s/it][Dataset] cur_step=6594 phase=C_full_covt +[Dataset] cur_step=6594 phase=C_full_covt[Dataset] cur_step=6594 phase=C_full_covt + +[Dataset] cur_step=6594 phase=C_full_covt + 73%|█████████████████████▉ | 6594/9000 [5:28:09<2:38:01, 3.94s/it][Dataset] cur_step=6594 phase=C_full_covt +[Dataset] cur_step=6594 phase=C_full_covt +[Dataset] cur_step=6594 phase=C_full_covt +[Dataset] cur_step=6594 phase=C_full_covt + {'loss': '2.967', 'grad_norm': '2.391', 'learning_rate': '9.149e-06', 'epoch': '0.2372'} + 73%|█████████████████████▉ | 6594/9000 [5:28:09<2:38:01, 3.94s/it] {'lm_loss': '0.6618', 'visual_loss': '2.783', 'seg_loss': '0.8457', 'dino_loss': '0.9055', 'depth_loss': '0.1975', 'vggt_mse_loss': '0.1962', 'vggt_cos_loss': '0.01299', 'pidinet_loss': '0.2621', 'siglip_loss': '0.5717', 'epoch': '0.2372'} + 73%|█████████████████████▉ | 6594/9000 [5:28:12<2:38:01, 3.94s/it][Dataset] cur_step=6595 phase=C_full_covt +[Dataset] cur_step=6595 phase=C_full_covt +[Dataset] cur_step=6595 phase=C_full_covt +[Dataset] cur_step=6595 phase=C_full_covt +[Dataset] cur_step=6595 phase=C_full_covt +[Dataset] cur_step=6595 phase=C_full_covt +[Dataset] cur_step=6595 phase=C_full_covt +[Dataset] cur_step=6595 phase=C_full_covt + 73%|█████████████████████▉ | 6595/9000 [5:28:13<2:38:09, 3.95s/it] {'loss': '3.085', 'grad_norm': '2.079', 'learning_rate': '9.142e-06', 'epoch': '0.2373'} + 73%|█████████████████████▉ | 6595/9000 [5:28:13<2:38:09, 3.95s/it] {'lm_loss': '0.004802', 'visual_loss': '2.627', 'seg_loss': '0.6118', 'dino_loss': '0.871', 'depth_loss': '0.1975', 'vggt_mse_loss': '0.1958', 'vggt_cos_loss': '0.01617', 'pidinet_loss': '0.3171', 'siglip_loss': '0.63', 'epoch': '0.2373'} + 73%|█████████████████████▉ | 6595/9000 [5:28:16<2:38:09, 3.95s/it][Dataset] cur_step=6596 phase=C_full_covt +[Dataset] cur_step=6596 phase=C_full_covt +[Dataset] cur_step=6596 phase=C_full_covt + 73%|█████████████████████▉ | 6596/9000 [5:28:17<2:36:37, 3.91s/it][Dataset] cur_step=6596 phase=C_full_covt[Dataset] cur_step=6596 phase=C_full_covt + +[Dataset] cur_step=6596 phase=C_full_covt +[Dataset] cur_step=6596 phase=C_full_covt +[Dataset] cur_step=6596 phase=C_full_covt + {'loss': '2.889', 'grad_norm': '6.021', 'learning_rate': '9.135e-06', 'epoch': '0.2373'} + 73%|█████████████████████▉ | 6596/9000 [5:28:17<2:36:37, 3.91s/it] {'lm_loss': '0.5048', 'visual_loss': '2.802', 'seg_loss': '0.6494', 'dino_loss': '0.905', 'depth_loss': '0.2882', 'vggt_mse_loss': '0.2861', 'vggt_cos_loss': '0.02167', 'pidinet_loss': '0.2857', 'siglip_loss': '0.6736', 'epoch': '0.2373'} + 73%|█████████████████████▉ | 6596/9000 [5:28:20<2:36:37, 3.91s/it][Dataset] cur_step=6597 phase=C_full_covt[Dataset] cur_step=6597 phase=C_full_covt[Dataset] cur_step=6597 phase=C_full_covt + + +[Dataset] cur_step=6597 phase=C_full_covt[Dataset] cur_step=6597 phase=C_full_covt +[Dataset] cur_step=6597 phase=C_full_covt + + 73%|█████████████████████▉ | 6597/9000 [5:28:21<2:34:00, 3.85s/it][Dataset] cur_step=6597 phase=C_full_covt +[Dataset] cur_step=6597 phase=C_full_covt + {'loss': '2.979', 'grad_norm': '3.118', 'learning_rate': '9.128e-06', 'epoch': '0.2373'} + 73%|█████████████████████▉ | 6597/9000 [5:28:21<2:34:00, 3.85s/it] {'lm_loss': '0.008596', 'visual_loss': '2.797', 'seg_loss': '0.7614', 'dino_loss': '0.9032', 'depth_loss': '0.233', 'vggt_mse_loss': '0.2312', 'vggt_cos_loss': '0.01798', 'pidinet_loss': '0.2982', 'siglip_loss': '0.6014', 'epoch': '0.2373'} + 73%|█████████████████████▉ | 6597/9000 [5:28:24<2:34:00, 3.85s/it][Dataset] cur_step=6598 phase=C_full_covt +[Dataset] cur_step=6598 phase=C_full_covt +[Dataset] cur_step=6598 phase=C_full_covt[Dataset] cur_step=6598 phase=C_full_covt + +[Dataset] cur_step=6598 phase=C_full_covt + 73%|█████████████████████▉ | 6598/9000 [5:28:25<2:35:57, 3.90s/it][Dataset] cur_step=6598 phase=C_full_covt +[Dataset] cur_step=6598 phase=C_full_covt +[Dataset] cur_step=6598 phase=C_full_covt + {'loss': '3.144', 'grad_norm': '2.115', 'learning_rate': '9.121e-06', 'epoch': '0.2374'} + 73%|█████████████████████▉ | 6598/9000 [5:28:25<2:35:57, 3.90s/it] {'lm_loss': '1.602', 'visual_loss': '2.876', 'seg_loss': '0.8174', 'dino_loss': '0.8881', 'depth_loss': '0.2133', 'vggt_mse_loss': '0.2117', 'vggt_cos_loss': '0.01536', 'pidinet_loss': '0.2615', 'siglip_loss': '0.6962', 'epoch': '0.2374'} + 73%|█████████████████████▉ | 6598/9000 [5:28:28<2:35:57, 3.90s/it][Dataset] cur_step=6599 phase=C_full_covt +[Dataset] cur_step=6599 phase=C_full_covt +[Dataset] cur_step=6599 phase=C_full_covt +[Dataset] cur_step=6599 phase=C_full_covt +[Dataset] cur_step=6599 phase=C_full_covt[Dataset] cur_step=6599 phase=C_full_covt + +[Dataset] cur_step=6599 phase=C_full_covt +[Dataset] cur_step=6599 phase=C_full_covt + 73%|█████████████████████▉ | 6599/9000 [5:28:28<2:36:40, 3.92s/it] {'loss': '3.306', 'grad_norm': '1.832', 'learning_rate': '9.114e-06', 'epoch': '0.2374'} + 73%|█████████████████████▉ | 6599/9000 [5:28:28<2:36:40, 3.92s/it] {'lm_loss': '0.6235', 'visual_loss': '2.754', 'seg_loss': '0.7553', 'dino_loss': '0.8822', 'depth_loss': '0.1991', 'vggt_mse_loss': '0.1976', 'vggt_cos_loss': '0.01482', 'pidinet_loss': '0.2385', 'siglip_loss': '0.6787', 'epoch': '0.2374'} + 73%|█████████████████████▉ | 6599/9000 [5:28:32<2:36:40, 3.92s/it][Dataset] cur_step=6600 phase=C_full_covt +[Dataset] cur_step=6600 phase=C_full_covt +[Dataset] cur_step=6600 phase=C_full_covt +[Dataset] cur_step=6600 phase=C_full_covt[Dataset] cur_step=6600 phase=C_full_covt[Dataset] cur_step=6600 phase=C_full_covt +[Dataset] cur_step=6600 phase=C_full_covt + + +[Dataset] cur_step=6600 phase=C_full_covt 73%|██████████████████████ | 6600/9000 [5:28:32<2:35:32, 3.89s/it] + {'loss': '2.98', 'grad_norm': '2.217', 'learning_rate': '9.107e-06', 'epoch': '0.2374'} + 73%|██████████████████████ | 6600/9000 [5:28:32<2:35:32, 3.89s/it] {'lm_loss': '0.2872', 'visual_loss': '2.8', 'seg_loss': '0.8142', 'dino_loss': '0.9206', 'depth_loss': '0.2441', 'vggt_mse_loss': '0.2425', 'vggt_cos_loss': '0.01533', 'pidinet_loss': '0.2296', 'siglip_loss': '0.5914', 'epoch': '0.2374'} + 73%|██████████████████████ | 6600/9000 [5:28:35<2:35:32, 3.89s/it][Dataset] cur_step=6601 phase=C_full_covt +[Dataset] cur_step=6601 phase=C_full_covt[Dataset] cur_step=6601 phase=C_full_covt + +[Dataset] cur_step=6601 phase=C_full_covt +[Dataset] cur_step=6601 phase=C_full_covt[Dataset] cur_step=6601 phase=C_full_covt + +[Dataset] cur_step=6601 phase=C_full_covt +[Dataset] cur_step=6601 phase=C_full_covt + 73%|██████████████████████ | 6601/9000 [5:28:36<2:36:24, 3.91s/it] {'loss': '3.164', 'grad_norm': '2.584', 'learning_rate': '9.1e-06', 'epoch': '0.2375'} + 73%|██████████████████████ | 6601/9000 [5:28:36<2:36:24, 3.91s/it] {'lm_loss': '0.7807', 'visual_loss': '2.935', 'seg_loss': '0.7637', 'dino_loss': '0.9225', 'depth_loss': '0.2043', 'vggt_mse_loss': '0.2029', 'vggt_cos_loss': '0.01393', 'pidinet_loss': '0.3119', 'siglip_loss': '0.7327', 'epoch': '0.2375'} + 73%|██████████████████████ | 6601/9000 [5:28:39<2:36:24, 3.91s/it][Dataset] cur_step=6602 phase=C_full_covt +[Dataset] cur_step=6602 phase=C_full_covt[Dataset] cur_step=6602 phase=C_full_covt +[Dataset] cur_step=6602 phase=C_full_covt[Dataset] cur_step=6602 phase=C_full_covt + + + 73%|██████████████████████ | 6602/9000 [5:28:41<2:40:41, 4.02s/it][Dataset] cur_step=6602 phase=C_full_covt +[Dataset] cur_step=6602 phase=C_full_covt +[Dataset] cur_step=6602 phase=C_full_covt + {'loss': '3.074', 'grad_norm': '1.624', 'learning_rate': '9.093e-06', 'epoch': '0.2375'} + 73%|██████████████████████ | 6602/9000 [5:28:41<2:40:41, 4.02s/it] {'lm_loss': '0.2473', 'visual_loss': '2.475', 'seg_loss': '0.7076', 'dino_loss': '0.9157', 'depth_loss': '0.2215', 'vggt_mse_loss': '0.2198', 'vggt_cos_loss': '0.01675', 'pidinet_loss': '0.2202', 'siglip_loss': '0.4103', 'epoch': '0.2375'} + 73%|██████████████████████ | 6602/9000 [5:28:44<2:40:41, 4.02s/it][Dataset] cur_step=6603 phase=C_full_covt +[Dataset] cur_step=6603 phase=C_full_covt +[Dataset] cur_step=6603 phase=C_full_covt[Dataset] cur_step=6603 phase=C_full_covt + +[Dataset] cur_step=6603 phase=C_full_covt +[Dataset] cur_step=6603 phase=C_full_covt +[Dataset] cur_step=6603 phase=C_full_covt + 73%|██████████████████████ | 6603/9000 [5:28:45<2:45:03, 4.13s/it][Dataset] cur_step=6603 phase=C_full_covt + {'loss': '3.111', 'grad_norm': '2.496', 'learning_rate': '9.086e-06', 'epoch': '0.2375'} + 73%|██████████████████████ | 6603/9000 [5:28:45<2:45:03, 4.13s/it] {'lm_loss': '0.7847', 'visual_loss': '2.444', 'seg_loss': '0.6773', 'dino_loss': '0.8944', 'depth_loss': '0.1868', 'vggt_mse_loss': '0.1858', 'vggt_cos_loss': '0.009604', 'pidinet_loss': '0.1605', 'siglip_loss': '0.5245', 'epoch': '0.2375'} + 73%|██████████████████████ | 6603/9000 [5:28:48<2:45:03, 4.13s/it][Dataset] cur_step=6604 phase=C_full_covt +[Dataset] cur_step=6604 phase=C_full_covt + 73%|██████████████████████ | 6604/9000 [5:28:49<2:43:28, 4.09s/it][Dataset] cur_step=6604 phase=C_full_covt +[Dataset] cur_step=6604 phase=C_full_covt +[Dataset] cur_step=6604 phase=C_full_covt[Dataset] cur_step=6604 phase=C_full_covt + +[Dataset] cur_step=6604 phase=C_full_covt +[Dataset] cur_step=6604 phase=C_full_covt + {'loss': '3.159', 'grad_norm': '2.36', 'learning_rate': '9.079e-06', 'epoch': '0.2376'} + 73%|██████████████████████ | 6604/9000 [5:28:49<2:43:28, 4.09s/it] {'lm_loss': '0.4137', 'visual_loss': '2.606', 'seg_loss': '0.753', 'dino_loss': '0.8988', 'depth_loss': '0.1635', 'vggt_mse_loss': '0.1625', 'vggt_cos_loss': '0.01038', 'pidinet_loss': '0.2787', 'siglip_loss': '0.5123', 'epoch': '0.2376'} + 73%|██████████████████████ | 6604/9000 [5:28:52<2:43:28, 4.09s/it][Dataset] cur_step=6605 phase=C_full_covt +[Dataset] cur_step=6605 phase=C_full_covt + 73%|██████████████████████ | 6605/9000 [5:28:53<2:44:11, 4.11s/it][Dataset] cur_step=6605 phase=C_full_covt +[Dataset] cur_step=6605 phase=C_full_covt +[Dataset] cur_step=6605 phase=C_full_covt +[Dataset] cur_step=6605 phase=C_full_covt +[Dataset] cur_step=6605 phase=C_full_covt +[Dataset] cur_step=6605 phase=C_full_covt + {'loss': '2.872', 'grad_norm': '1.33', 'learning_rate': '9.071e-06', 'epoch': '0.2376'} + 73%|██████████████████████ | 6605/9000 [5:28:53<2:44:11, 4.11s/it] {'lm_loss': '0.3485', 'visual_loss': '2.586', 'seg_loss': '0.6421', 'dino_loss': '0.9217', 'depth_loss': '0.2122', 'vggt_mse_loss': '0.2106', 'vggt_cos_loss': '0.01528', 'pidinet_loss': '0.2405', 'siglip_loss': '0.5693', 'epoch': '0.2376'} + 73%|██████████████████████ | 6605/9000 [5:28:56<2:44:11, 4.11s/it][Dataset] cur_step=6606 phase=C_full_covt[Dataset] cur_step=6606 phase=C_full_covt[Dataset] cur_step=6606 phase=C_full_covt + + +[Dataset] cur_step=6606 phase=C_full_covt + 73%|██████████████████████ | 6606/9000 [5:28:57<2:43:40, 4.10s/it][Dataset] cur_step=6606 phase=C_full_covt[Dataset] cur_step=6606 phase=C_full_covt[Dataset] cur_step=6606 phase=C_full_covt + + +[Dataset] cur_step=6606 phase=C_full_covt + {'loss': '3.265', 'grad_norm': '1.801', 'learning_rate': '9.064e-06', 'epoch': '0.2377'} + 73%|██████████████████████ | 6606/9000 [5:28:57<2:43:40, 4.10s/it] {'lm_loss': '0.7334', 'visual_loss': '2.731', 'seg_loss': '0.8126', 'dino_loss': '0.9266', 'depth_loss': '0.2066', 'vggt_mse_loss': '0.2049', 'vggt_cos_loss': '0.01654', 'pidinet_loss': '0.2659', 'siglip_loss': '0.5189', 'epoch': '0.2377'} + 73%|██████████████████████ | 6606/9000 [5:29:00<2:43:40, 4.10s/it][Dataset] cur_step=6607 phase=C_full_covt +[Dataset] cur_step=6607 phase=C_full_covt +[Dataset] cur_step=6607 phase=C_full_covt +[Dataset] cur_step=6607 phase=C_full_covt 73%|██████████████████████ | 6607/9000 [5:29:03<3:06:04, 4.67s/it][Dataset] cur_step=6607 phase=C_full_covt + +[Dataset] cur_step=6607 phase=C_full_covt +[Dataset] cur_step=6607 phase=C_full_covt +[Dataset] cur_step=6607 phase=C_full_covt + {'loss': '3.062', 'grad_norm': '2.16', 'learning_rate': '9.057e-06', 'epoch': '0.2377'} + 73%|██████████████████████ | 6607/9000 [5:29:03<3:06:04, 4.67s/it] {'lm_loss': '0.9977', 'visual_loss': '2.729', 'seg_loss': '0.7981', 'dino_loss': '0.9185', 'depth_loss': '0.2304', 'vggt_mse_loss': '0.2286', 'vggt_cos_loss': '0.01874', 'pidinet_loss': '0.2475', 'siglip_loss': '0.5341', 'epoch': '0.2377'} + 73%|██████████████████████ | 6607/9000 [5:29:06<3:06:04, 4.67s/it][Dataset] cur_step=6608 phase=C_full_covt +[Dataset] cur_step=6608 phase=C_full_covt +[Dataset] cur_step=6608 phase=C_full_covt +[Dataset] cur_step=6608 phase=C_full_covt +[Dataset] cur_step=6608 phase=C_full_covt[Dataset] cur_step=6608 phase=C_full_covt +[Dataset] cur_step=6608 phase=C_full_covt + + 73%|██████████████████████ | 6608/9000 [5:29:07<3:01:15, 4.55s/it][Dataset] cur_step=6608 phase=C_full_covt + {'loss': '3.22', 'grad_norm': '2.157', 'learning_rate': '9.05e-06', 'epoch': '0.2377'} + 73%|██████████████████████ | 6608/9000 [5:29:07<3:01:15, 4.55s/it] {'lm_loss': '0.3126', 'visual_loss': '2.578', 'seg_loss': '0.7127', 'dino_loss': '0.9237', 'depth_loss': '0.2406', 'vggt_mse_loss': '0.239', 'vggt_cos_loss': '0.0155', 'pidinet_loss': '0.2265', 'siglip_loss': '0.4743', 'epoch': '0.2377'} + 73%|██████████████████████ | 6608/9000 [5:29:11<3:01:15, 4.55s/it][Dataset] cur_step=6609 phase=C_full_covt +[Dataset] cur_step=6609 phase=C_full_covt +[Dataset] cur_step=6609 phase=C_full_covt +[Dataset] cur_step=6609 phase=C_full_covt +[Dataset] cur_step=6609 phase=C_full_covt + 73%|██████████████████████ | 6609/9000 [5:29:11<2:54:47, 4.39s/it][Dataset] cur_step=6609 phase=C_full_covt +[Dataset] cur_step=6609 phase=C_full_covt +[Dataset] cur_step=6609 phase=C_full_covt + {'loss': '3.148', 'grad_norm': '1.779', 'learning_rate': '9.043e-06', 'epoch': '0.2378'} + 73%|██████████████████████ | 6609/9000 [5:29:11<2:54:47, 4.39s/it] {'lm_loss': '0.02174', 'visual_loss': '2.615', 'seg_loss': '0.7766', 'dino_loss': '0.9053', 'depth_loss': '0.2547', 'vggt_mse_loss': '0.253', 'vggt_cos_loss': '0.01722', 'pidinet_loss': '0.2048', 'siglip_loss': '0.4733', 'epoch': '0.2378'} + 73%|██████████████████████ | 6609/9000 [5:29:14<2:54:47, 4.39s/it][Dataset] cur_step=6610 phase=C_full_covt +[Dataset] cur_step=6610 phase=C_full_covt[Dataset] cur_step=6610 phase=C_full_covt[Dataset] cur_step=6610 phase=C_full_covt + + +[Dataset] cur_step=6610 phase=C_full_covt +[Dataset] cur_step=6610 phase=C_full_covt[Dataset] cur_step=6610 phase=C_full_covt + + 73%|██████████████████████ | 6610/9000 [5:29:15<2:45:45, 4.16s/it][Dataset] cur_step=6610 phase=C_full_covt + {'loss': '3.213', 'grad_norm': '2.319', 'learning_rate': '9.036e-06', 'epoch': '0.2378'} + 73%|██████████████████████ | 6610/9000 [5:29:15<2:45:45, 4.16s/it] {'lm_loss': '0.3357', 'visual_loss': '2.253', 'seg_loss': '0.6583', 'dino_loss': '0.8932', 'depth_loss': '0.2011', 'vggt_mse_loss': '0.1999', 'vggt_cos_loss': '0.01194', 'pidinet_loss': '0.1973', 'siglip_loss': '0.303', 'epoch': '0.2378'} + 73%|██████████████████████ | 6610/9000 [5:29:18<2:45:45, 4.16s/it][Dataset] cur_step=6611 phase=C_full_covt +[Dataset] cur_step=6611 phase=C_full_covt + 73%|██████████████████████ | 6611/9000 [5:29:19<2:40:11, 4.02s/it][Dataset] cur_step=6611 phase=C_full_covt +[Dataset] cur_step=6611 phase=C_full_covt +[Dataset] cur_step=6611 phase=C_full_covt +[Dataset] cur_step=6611 phase=C_full_covt +[Dataset] cur_step=6611 phase=C_full_covt +[Dataset] cur_step=6611 phase=C_full_covt + {'loss': '2.972', 'grad_norm': '1.702', 'learning_rate': '9.029e-06', 'epoch': '0.2378'} + 73%|██████████████████████ | 6611/9000 [5:29:19<2:40:11, 4.02s/it] {'lm_loss': '0.2523', 'visual_loss': '2.486', 'seg_loss': '0.6974', 'dino_loss': '0.9039', 'depth_loss': '0.2316', 'vggt_mse_loss': '0.23', 'vggt_cos_loss': '0.0163', 'pidinet_loss': '0.2268', 'siglip_loss': '0.426', 'epoch': '0.2378'} + 73%|██████████████████████ | 6611/9000 [5:29:22<2:40:11, 4.02s/it][Dataset] cur_step=6612 phase=C_full_covt[Dataset] cur_step=6612 phase=C_full_covt[Dataset] cur_step=6612 phase=C_full_covt + + +[Dataset] cur_step=6612 phase=C_full_covt[Dataset] cur_step=6612 phase=C_full_covt + +[Dataset] cur_step=6612 phase=C_full_covt + 73%|██████████████████████ | 6612/9000 [5:29:22<2:35:05, 3.90s/it][Dataset] cur_step=6612 phase=C_full_covt[Dataset] cur_step=6612 phase=C_full_covt + + {'loss': '3.208', 'grad_norm': '2.269', 'learning_rate': '9.022e-06', 'epoch': '0.2379'} + 73%|██████████████████████ | 6612/9000 [5:29:22<2:35:05, 3.90s/it] {'lm_loss': '0.1329', 'visual_loss': '2.694', 'seg_loss': '0.7059', 'dino_loss': '0.9285', 'depth_loss': '0.2475', 'vggt_mse_loss': '0.2457', 'vggt_cos_loss': '0.01844', 'pidinet_loss': '0.2321', 'siglip_loss': '0.5802', 'epoch': '0.2379'} + 73%|██████████████████████ | 6612/9000 [5:29:26<2:35:05, 3.90s/it][Dataset] cur_step=6613 phase=C_full_covt +[Dataset] cur_step=6613 phase=C_full_covt +[Dataset] cur_step=6613 phase=C_full_covt[Dataset] cur_step=6613 phase=C_full_covt[Dataset] cur_step=6613 phase=C_full_covt + +[Dataset] cur_step=6613 phase=C_full_covt + +[Dataset] cur_step=6613 phase=C_full_covt + 73%|██████████████████████ | 6613/9000 [5:29:26<2:36:41, 3.94s/it][Dataset] cur_step=6613 phase=C_full_covt + {'loss': '2.999', 'grad_norm': '1.75', 'learning_rate': '9.015e-06', 'epoch': '0.2379'} + 73%|██████████████████████ | 6613/9000 [5:29:26<2:36:41, 3.94s/it] {'lm_loss': '0.2261', 'visual_loss': '2.777', 'seg_loss': '0.8307', 'dino_loss': '0.9116', 'depth_loss': '0.1717', 'vggt_mse_loss': '0.1705', 'vggt_cos_loss': '0.01252', 'pidinet_loss': '0.2191', 'siglip_loss': '0.644', 'epoch': '0.2379'} + 73%|██████████████████████ | 6613/9000 [5:29:29<2:36:41, 3.94s/it][Dataset] cur_step=6614 phase=C_full_covt +[Dataset] cur_step=6614 phase=C_full_covt +[Dataset] cur_step=6614 phase=C_full_covt[Dataset] cur_step=6614 phase=C_full_covt + +[Dataset] cur_step=6614 phase=C_full_covt +[Dataset] cur_step=6614 phase=C_full_covt 73%|██████████████████████ | 6614/9000 [5:29:33<3:02:35, 4.59s/it][Dataset] cur_step=6614 phase=C_full_covt + +[Dataset] cur_step=6614 phase=C_full_covt + {'loss': '2.919', 'grad_norm': '2.046', 'learning_rate': '9.008e-06', 'epoch': '0.2379'} + 73%|██████████████████████ | 6614/9000 [5:29:33<3:02:35, 4.59s/it] {'lm_loss': '0.4135', 'visual_loss': '2.657', 'seg_loss': '0.7384', 'dino_loss': '0.9343', 'depth_loss': '0.1779', 'vggt_mse_loss': '0.1765', 'vggt_cos_loss': '0.01314', 'pidinet_loss': '0.2273', 'siglip_loss': '0.5793', 'epoch': '0.2379'} + 73%|██████████████████████ | 6614/9000 [5:29:36<3:02:35, 4.59s/it][Dataset] cur_step=6615 phase=C_full_covt +[Dataset] cur_step=6615 phase=C_full_covt[Dataset] cur_step=6615 phase=C_full_covt + +[Dataset] cur_step=6615 phase=C_full_covt + 74%|██████████████████████ | 6615/9000 [5:29:36<2:53:51, 4.37s/it][Dataset] cur_step=6615 phase=C_full_covt[Dataset] cur_step=6615 phase=C_full_covt + +[Dataset] cur_step=6615 phase=C_full_covt +[Dataset] cur_step=6615 phase=C_full_covt + {'loss': '2.866', 'grad_norm': '1.665', 'learning_rate': '9.001e-06', 'epoch': '0.238'} + 74%|██████████████████████ | 6615/9000 [5:29:36<2:53:51, 4.37s/it] {'lm_loss': '0.7466', 'visual_loss': '2.691', 'seg_loss': '0.7244', 'dino_loss': '0.9144', 'depth_loss': '0.2618', 'vggt_mse_loss': '0.26', 'vggt_cos_loss': '0.01746', 'pidinet_loss': '0.2541', 'siglip_loss': '0.5365', 'epoch': '0.238'} + 74%|██████████████████████ | 6615/9000 [5:29:40<2:53:51, 4.37s/it][Dataset] cur_step=6616 phase=C_full_covt[Dataset] cur_step=6616 phase=C_full_covt + +[Dataset] cur_step=6616 phase=C_full_covt +[Dataset] cur_step=6616 phase=C_full_covt[Dataset] cur_step=6616 phase=C_full_covt + +[Dataset] cur_step=6616 phase=C_full_covt + 74%|██████████████████████ | 6616/9000 [5:29:40<2:50:05, 4.28s/it][Dataset] cur_step=6616 phase=C_full_covt[Dataset] cur_step=6616 phase=C_full_covt + + {'loss': '3.208', 'grad_norm': '3.207', 'learning_rate': '8.994e-06', 'epoch': '0.238'} + 74%|██████████████████████ | 6616/9000 [5:29:40<2:50:05, 4.28s/it] {'lm_loss': '0.368', 'visual_loss': '2.347', 'seg_loss': '0.732', 'dino_loss': '0.8931', 'depth_loss': '0.1729', 'vggt_mse_loss': '0.1718', 'vggt_cos_loss': '0.0111', 'pidinet_loss': '0.2017', 'siglip_loss': '0.3474', 'epoch': '0.238'} + 74%|██████████████████████ | 6616/9000 [5:29:43<2:50:05, 4.28s/it][Dataset] cur_step=6617 phase=C_full_covt +[Dataset] cur_step=6617 phase=C_full_covt +[Dataset] cur_step=6617 phase=C_full_covt +[Dataset] cur_step=6617 phase=C_full_covt +[Dataset] cur_step=6617 phase=C_full_covt +[Dataset] cur_step=6617 phase=C_full_covt +[Dataset] cur_step=6617 phase=C_full_covt[Dataset] cur_step=6617 phase=C_full_covt + + 74%|██████████████████████ | 6617/9000 [5:29:44<2:45:02, 4.16s/it] {'loss': '3.142', 'grad_norm': '1.501', 'learning_rate': '8.987e-06', 'epoch': '0.238'} + 74%|██████████████████████ | 6617/9000 [5:29:44<2:45:02, 4.16s/it] {'lm_loss': '1.082', 'visual_loss': '2.518', 'seg_loss': '0.6509', 'dino_loss': '0.8851', 'depth_loss': '0.2072', 'vggt_mse_loss': '0.2057', 'vggt_cos_loss': '0.01457', 'pidinet_loss': '0.2702', 'siglip_loss': '0.5045', 'epoch': '0.238'} + 74%|██████████████████████ | 6617/9000 [5:29:47<2:45:02, 4.16s/it][Dataset] cur_step=6618 phase=C_full_covt +[Dataset] cur_step=6618 phase=C_full_covt +[Dataset] cur_step=6618 phase=C_full_covt[Dataset] cur_step=6618 phase=C_full_covt + 74%|██████████████████████ | 6618/9000 [5:29:48<2:45:12, 4.16s/it] +[Dataset] cur_step=6618 phase=C_full_covt[Dataset] cur_step=6618 phase=C_full_covt + +[Dataset] cur_step=6618 phase=C_full_covt +[Dataset] cur_step=6618 phase=C_full_covt + {'loss': '3.199', 'grad_norm': '3.562', 'learning_rate': '8.98e-06', 'epoch': '0.2381'} + 74%|██████████████████████ | 6618/9000 [5:29:48<2:45:12, 4.16s/it] {'lm_loss': '0.6097', 'visual_loss': '2.754', 'seg_loss': '0.7559', 'dino_loss': '0.8963', 'depth_loss': '0.2287', 'vggt_mse_loss': '0.227', 'vggt_cos_loss': '0.01756', 'pidinet_loss': '0.2856', 'siglip_loss': '0.5873', 'epoch': '0.2381'} + 74%|██████████████████████ | 6618/9000 [5:29:52<2:45:12, 4.16s/it][Dataset] cur_step=6619 phase=C_full_covt +[Dataset] cur_step=6619 phase=C_full_covt +[Dataset] cur_step=6619 phase=C_full_covt +[Dataset] cur_step=6619 phase=C_full_covt +[Dataset] cur_step=6619 phase=C_full_covt +[Dataset] cur_step=6619 phase=C_full_covt + 74%|██████████████████████ | 6619/9000 [5:29:53<2:44:29, 4.15s/it][Dataset] cur_step=6619 phase=C_full_covt +[Dataset] cur_step=6619 phase=C_full_covt + {'loss': '3.234', 'grad_norm': '2.305', 'learning_rate': '8.973e-06', 'epoch': '0.2381'} + 74%|██████████████████████ | 6619/9000 [5:29:53<2:44:29, 4.15s/it] {'lm_loss': '0.6337', 'visual_loss': '2.29', 'seg_loss': '0.5978', 'dino_loss': '0.8668', 'depth_loss': '0.291', 'vggt_mse_loss': '0.2892', 'vggt_cos_loss': '0.01755', 'pidinet_loss': '0.1744', 'siglip_loss': '0.3601', 'epoch': '0.2381'} + 74%|██████████████████████ | 6619/9000 [5:29:56<2:44:29, 4.15s/it][Dataset] cur_step=6620 phase=C_full_covt +[Dataset] cur_step=6620 phase=C_full_covt +[Dataset] cur_step=6620 phase=C_full_covt[Dataset] cur_step=6620 phase=C_full_covt + + 74%|██████████████████████ | 6620/9000 [5:29:56<2:39:39, 4.03s/it][Dataset] cur_step=6620 phase=C_full_covt +[Dataset] cur_step=6620 phase=C_full_covt +[Dataset] cur_step=6620 phase=C_full_covt +[Dataset] cur_step=6620 phase=C_full_covt + {'loss': '3.126', 'grad_norm': '1.746', 'learning_rate': '8.966e-06', 'epoch': '0.2382'} + 74%|██████████████████████ | 6620/9000 [5:29:56<2:39:39, 4.03s/it] {'lm_loss': '0.3266', 'visual_loss': '2.66', 'seg_loss': '0.6617', 'dino_loss': '0.8989', 'depth_loss': '0.2303', 'vggt_mse_loss': '0.2289', 'vggt_cos_loss': '0.01366', 'pidinet_loss': '0.2965', 'siglip_loss': '0.5721', 'epoch': '0.2382'} + 74%|██████████████████████ | 6620/9000 [5:30:00<2:39:39, 4.03s/it][Dataset] cur_step=6621 phase=C_full_covt +[Dataset] cur_step=6621 phase=C_full_covt +[Dataset] cur_step=6621 phase=C_full_covt +[Dataset] cur_step=6621 phase=C_full_covt 74%|██████████████████████ | 6621/9000 [5:30:02<3:02:11, 4.59s/it] +[Dataset] cur_step=6621 phase=C_full_covt +[Dataset] cur_step=6621 phase=C_full_covt[Dataset] cur_step=6621 phase=C_full_covt[Dataset] cur_step=6621 phase=C_full_covt + + + {'loss': '2.968', 'grad_norm': '2.321', 'learning_rate': '8.958e-06', 'epoch': '0.2382'} + 74%|██████████████████████ | 6621/9000 [5:30:02<3:02:11, 4.59s/it] {'lm_loss': '0.8384', 'visual_loss': '2.651', 'seg_loss': '0.782', 'dino_loss': '0.9374', 'depth_loss': '0.2451', 'vggt_mse_loss': '0.2433', 'vggt_cos_loss': '0.01795', 'pidinet_loss': '0.2494', 'siglip_loss': '0.4376', 'epoch': '0.2382'} + 74%|██████████████████████ | 6621/9000 [5:30:05<3:02:11, 4.59s/it][Dataset] cur_step=6622 phase=C_full_covt +[Dataset] cur_step=6622 phase=C_full_covt[Dataset] cur_step=6622 phase=C_full_covt[Dataset] cur_step=6622 phase=C_full_covt + + +[Dataset] cur_step=6622 phase=C_full_covt +[Dataset] cur_step=6622 phase=C_full_covt[Dataset] cur_step=6622 phase=C_full_covt + + 74%|██████████████████████ | 6622/9000 [5:30:06<2:56:10, 4.45s/it][Dataset] cur_step=6622 phase=C_full_covt + {'loss': '3.381', 'grad_norm': '2.479', 'learning_rate': '8.951e-06', 'epoch': '0.2382'} + 74%|██████████████████████ | 6622/9000 [5:30:06<2:56:10, 4.45s/it] {'lm_loss': '0.02632', 'visual_loss': '3.068', 'seg_loss': '0.7992', 'dino_loss': '0.9247', 'depth_loss': '0.3033', 'vggt_mse_loss': '0.301', 'vggt_cos_loss': '0.02357', 'pidinet_loss': '0.2284', 'siglip_loss': '0.8128', 'epoch': '0.2382'} + 74%|██████████████████████ | 6622/9000 [5:30:09<2:56:10, 4.45s/it][Dataset] cur_step=6623 phase=C_full_covt +[Dataset] cur_step=6623 phase=C_full_covt +[Dataset] cur_step=6623 phase=C_full_covt +[Dataset] cur_step=6623 phase=C_full_covt +[Dataset] cur_step=6623 phase=C_full_covt + 74%|██████████████████████ | 6623/9000 [5:30:10<2:51:03, 4.32s/it][Dataset] cur_step=6623 phase=C_full_covt +[Dataset] cur_step=6623 phase=C_full_covt +[Dataset] cur_step=6623 phase=C_full_covt + {'loss': '3.135', 'grad_norm': '7.19', 'learning_rate': '8.944e-06', 'epoch': '0.2383'} + 74%|██████████████████████ | 6623/9000 [5:30:10<2:51:03, 4.32s/it] {'lm_loss': '0.3455', 'visual_loss': '2.3', 'seg_loss': '0.6005', 'dino_loss': '0.9103', 'depth_loss': '0.2657', 'vggt_mse_loss': '0.264', 'vggt_cos_loss': '0.01696', 'pidinet_loss': '0.2312', 'siglip_loss': '0.2922', 'epoch': '0.2383'} + 74%|██████████████████████ | 6623/9000 [5:30:14<2:51:03, 4.32s/it][Dataset] cur_step=6624 phase=C_full_covt +[Dataset] cur_step=6624 phase=C_full_covt +[Dataset] cur_step=6624 phase=C_full_covt 74%|██████████████████████ | 6624/9000 [5:30:15<2:48:46, 4.26s/it] +[Dataset] cur_step=6624 phase=C_full_covt +[Dataset] cur_step=6624 phase=C_full_covt +[Dataset] cur_step=6624 phase=C_full_covt +[Dataset] cur_step=6624 phase=C_full_covt +[Dataset] cur_step=6624 phase=C_full_covt + {'loss': '2.861', 'grad_norm': '1.629', 'learning_rate': '8.937e-06', 'epoch': '0.2383'} + 74%|██████████████████████ | 6624/9000 [5:30:15<2:48:46, 4.26s/it] {'lm_loss': '0.5336', 'visual_loss': '2.424', 'seg_loss': '0.6328', 'dino_loss': '0.9112', 'depth_loss': '0.2596', 'vggt_mse_loss': '0.2581', 'vggt_cos_loss': '0.01532', 'pidinet_loss': '0.1686', 'siglip_loss': '0.4521', 'epoch': '0.2383'} + 74%|██████████████████████ | 6624/9000 [5:30:18<2:48:46, 4.26s/it][Dataset] cur_step=6625 phase=C_full_covt +[Dataset] cur_step=6625 phase=C_full_covt +[Dataset] cur_step=6625 phase=C_full_covt + 74%|██████████████████████ | 6625/9000 [5:30:18<2:43:05, 4.12s/it][Dataset] cur_step=6625 phase=C_full_covt +[Dataset] cur_step=6625 phase=C_full_covt +[Dataset] cur_step=6625 phase=C_full_covt +[Dataset] cur_step=6625 phase=C_full_covt +[Dataset] cur_step=6625 phase=C_full_covt + {'loss': '3.058', 'grad_norm': '1.693', 'learning_rate': '8.93e-06', 'epoch': '0.2383'} + 74%|██████████████████████ | 6625/9000 [5:30:18<2:43:05, 4.12s/it] {'lm_loss': '0.6063', 'visual_loss': '2.846', 'seg_loss': '0.7963', 'dino_loss': '0.9273', 'depth_loss': '0.2164', 'vggt_mse_loss': '0.2148', 'vggt_cos_loss': '0.01604', 'pidinet_loss': '0.3019', 'siglip_loss': '0.6038', 'epoch': '0.2383'} + 74%|██████████████████████ | 6625/9000 [5:30:22<2:43:05, 4.12s/it][Dataset] cur_step=6626 phase=C_full_covt +[Dataset] cur_step=6626 phase=C_full_covt +[Dataset] cur_step=6626 phase=C_full_covt +[Dataset] cur_step=6626 phase=C_full_covt +[Dataset] cur_step=6626 phase=C_full_covt +[Dataset] cur_step=6626 phase=C_full_covt[Dataset] cur_step=6626 phase=C_full_covt + +[Dataset] cur_step=6626 phase=C_full_covt + 74%|██████████████████████ | 6626/9000 [5:30:22<2:39:08, 4.02s/it] {'loss': '3.283', 'grad_norm': '3.051', 'learning_rate': '8.923e-06', 'epoch': '0.2384'} + 74%|██████████████████████ | 6626/9000 [5:30:22<2:39:08, 4.02s/it] {'lm_loss': '0.8276', 'visual_loss': '2.914', 'seg_loss': '0.5815', 'dino_loss': '0.8769', 'depth_loss': '0.3815', 'vggt_mse_loss': '0.379', 'vggt_cos_loss': '0.02535', 'pidinet_loss': '0.3481', 'siglip_loss': '0.726', 'epoch': '0.2384'} + 74%|██████████████████████ | 6626/9000 [5:30:25<2:39:08, 4.02s/it][Dataset] cur_step=6627 phase=C_full_covt +[Dataset] cur_step=6627 phase=C_full_covt[Dataset] cur_step=6627 phase=C_full_covt + +[Dataset] cur_step=6627 phase=C_full_covt +[Dataset] cur_step=6627 phase=C_full_covt[Dataset] cur_step=6627 phase=C_full_covt[Dataset] cur_step=6627 phase=C_full_covt + + + 74%|██████████████████████ | 6627/9000 [5:30:28<3:02:39, 4.62s/it][Dataset] cur_step=6627 phase=C_full_covt + {'loss': '3.195', 'grad_norm': '3.265', 'learning_rate': '8.916e-06', 'epoch': '0.2384'} + 74%|██████████████████████ | 6627/9000 [5:30:28<3:02:39, 4.62s/it] {'lm_loss': '0.3713', 'visual_loss': '2.676', 'seg_loss': '0.8045', 'dino_loss': '0.9137', 'depth_loss': '0.2185', 'vggt_mse_loss': '0.2169', 'vggt_cos_loss': '0.01606', 'pidinet_loss': '0.2317', 'siglip_loss': '0.5078', 'epoch': '0.2384'} + 74%|██████████████████████ | 6627/9000 [5:30:31<3:02:39, 4.62s/it][Dataset] cur_step=6628 phase=C_full_covt +[Dataset] cur_step=6628 phase=C_full_covt +[Dataset] cur_step=6628 phase=C_full_covt +[Dataset] cur_step=6628 phase=C_full_covt[Dataset] cur_step=6628 phase=C_full_covt +[Dataset] cur_step=6628 phase=C_full_covt + + 74%|██████████████████████ | 6628/9000 [5:30:32<2:56:20, 4.46s/it][Dataset] cur_step=6628 phase=C_full_covt +[Dataset] cur_step=6628 phase=C_full_covt + {'loss': '3.151', 'grad_norm': '1.868', 'learning_rate': '8.909e-06', 'epoch': '0.2384'} + 74%|██████████████████████ | 6628/9000 [5:30:32<2:56:20, 4.46s/it] {'lm_loss': '0.4039', 'visual_loss': '2.595', 'seg_loss': '0.7824', 'dino_loss': '0.9031', 'depth_loss': '0.2584', 'vggt_mse_loss': '0.2567', 'vggt_cos_loss': '0.01749', 'pidinet_loss': '0.1938', 'siglip_loss': '0.4577', 'epoch': '0.2384'} + 74%|██████████████████████ | 6628/9000 [5:30:35<2:56:20, 4.46s/it][Dataset] cur_step=6629 phase=C_full_covt[Dataset] cur_step=6629 phase=C_full_covt + +[Dataset] cur_step=6629 phase=C_full_covt +[Dataset] cur_step=6629 phase=C_full_covt +[Dataset] cur_step=6629 phase=C_full_covt +[Dataset] cur_step=6629 phase=C_full_covt +[Dataset] cur_step=6629 phase=C_full_covt 74%|██████████████████████ | 6629/9000 [5:30:36<2:49:56, 4.30s/it] +[Dataset] cur_step=6629 phase=C_full_covt + {'loss': '3.221', 'grad_norm': '1.469', 'learning_rate': '8.902e-06', 'epoch': '0.2385'} + 74%|██████████████████████ | 6629/9000 [5:30:36<2:49:56, 4.30s/it] {'lm_loss': '0.2203', 'visual_loss': '2.605', 'seg_loss': '0.6363', 'dino_loss': '0.8979', 'depth_loss': '0.1893', 'vggt_mse_loss': '0.1882', 'vggt_cos_loss': '0.0106', 'pidinet_loss': '0.2325', 'siglip_loss': '0.649', 'epoch': '0.2385'} + 74%|██████████████████████ | 6629/9000 [5:30:39<2:49:56, 4.30s/it][Dataset] cur_step=6630 phase=C_full_covt[Dataset] cur_step=6630 phase=C_full_covt[Dataset] cur_step=6630 phase=C_full_covt + + +[Dataset] cur_step=6630 phase=C_full_covt +[Dataset] cur_step=6630 phase=C_full_covt +[Dataset] cur_step=6630 phase=C_full_covt 74%|██████████████████████ | 6630/9000 [5:30:40<2:44:58, 4.18s/it] +[Dataset] cur_step=6630 phase=C_full_covt +[Dataset] cur_step=6630 phase=C_full_covt + {'loss': '3.005', 'grad_norm': '1.98', 'learning_rate': '8.895e-06', 'epoch': '0.2385'} + 74%|██████████████████████ | 6630/9000 [5:30:40<2:44:58, 4.18s/it] {'lm_loss': '0.3642', 'visual_loss': '2.585', 'seg_loss': '0.8066', 'dino_loss': '0.8828', 'depth_loss': '0.1919', 'vggt_mse_loss': '0.1907', 'vggt_cos_loss': '0.01253', 'pidinet_loss': '0.2492', 'siglip_loss': '0.4546', 'epoch': '0.2385'} + 74%|██████████████████████ | 6630/9000 [5:30:43<2:44:58, 4.18s/it][Dataset] cur_step=6631 phase=C_full_covt +[Dataset] cur_step=6631 phase=C_full_covt +[Dataset] cur_step=6631 phase=C_full_covt + 74%|██████████████████████ | 6631/9000 [5:30:46<3:09:35, 4.80s/it][Dataset] cur_step=6631 phase=C_full_covt +[Dataset] cur_step=6631 phase=C_full_covt +[Dataset] cur_step=6631 phase=C_full_covt[Dataset] cur_step=6631 phase=C_full_covt + +[Dataset] cur_step=6631 phase=C_full_covt + {'loss': '3.214', 'grad_norm': '2.086', 'learning_rate': '8.888e-06', 'epoch': '0.2386'} + 74%|██████████████████████ | 6631/9000 [5:30:46<3:09:35, 4.80s/it] {'lm_loss': '0.7285', 'visual_loss': '2.913', 'seg_loss': '0.6952', 'dino_loss': '0.921', 'depth_loss': '0.2543', 'vggt_mse_loss': '0.2523', 'vggt_cos_loss': '0.02045', 'pidinet_loss': '0.2098', 'siglip_loss': '0.8327', 'epoch': '0.2386'} + 74%|██████████████████████ | 6631/9000 [5:30:49<3:09:35, 4.80s/it][Dataset] cur_step=6632 phase=C_full_covt +[Dataset] cur_step=6632 phase=C_full_covt[Dataset] cur_step=6632 phase=C_full_covt + +[Dataset] cur_step=6632 phase=C_full_covt +[Dataset] cur_step=6632 phase=C_full_covt +[Dataset] cur_step=6632 phase=C_full_covt +[Dataset] cur_step=6632 phase=C_full_covt +[Dataset] cur_step=6632 phase=C_full_covt + 74%|██████████████████████ | 6632/9000 [5:30:50<3:00:32, 4.57s/it] {'loss': '3.016', 'grad_norm': '1.729', 'learning_rate': '8.881e-06', 'epoch': '0.2386'} + 74%|██████████████████████ | 6632/9000 [5:30:50<3:00:32, 4.57s/it] {'lm_loss': '0.4433', 'visual_loss': '2.836', 'seg_loss': '0.7174', 'dino_loss': '0.943', 'depth_loss': '0.3003', 'vggt_mse_loss': '0.2983', 'vggt_cos_loss': '0.02083', 'pidinet_loss': '0.2407', 'siglip_loss': '0.6351', 'epoch': '0.2386'} + 74%|██████████████████████ | 6632/9000 [5:30:53<3:00:32, 4.57s/it][Dataset] cur_step=6633 phase=C_full_covt +[Dataset] cur_step=6633 phase=C_full_covt +[Dataset] cur_step=6633 phase=C_full_covt +[Dataset] cur_step=6633 phase=C_full_covt +[Dataset] cur_step=6633 phase=C_full_covt + 74%|██████████████████████ | 6633/9000 [5:30:54<2:54:00, 4.41s/it][Dataset] cur_step=6633 phase=C_full_covt +[Dataset] cur_step=6633 phase=C_full_covt +[Dataset] cur_step=6633 phase=C_full_covt + {'loss': '3.02', 'grad_norm': '1.907', 'learning_rate': '8.874e-06', 'epoch': '0.2386'} + 74%|██████████████████████ | 6633/9000 [5:30:54<2:54:00, 4.41s/it] {'lm_loss': '0.5013', 'visual_loss': '2.774', 'seg_loss': '0.7819', 'dino_loss': '0.9425', 'depth_loss': '0.2975', 'vggt_mse_loss': '0.2953', 'vggt_cos_loss': '0.02179', 'pidinet_loss': '0.2308', 'siglip_loss': '0.521', 'epoch': '0.2386'} + 74%|██████████████████████ | 6633/9000 [5:30:57<2:54:00, 4.41s/it][Dataset] cur_step=6634 phase=C_full_covt[Dataset] cur_step=6634 phase=C_full_covt + +[Dataset] cur_step=6634 phase=C_full_covt +[Dataset] cur_step=6634 phase=C_full_covt +[Dataset] cur_step=6634 phase=C_full_covt +[Dataset] cur_step=6634 phase=C_full_covt + 74%|██████████████████████ | 6634/9000 [5:30:58<2:48:05, 4.26s/it][Dataset] cur_step=6634 phase=C_full_covt +[Dataset] cur_step=6634 phase=C_full_covt + {'loss': '3.189', 'grad_norm': '2.566', 'learning_rate': '8.867e-06', 'epoch': '0.2387'} + 74%|██████████████████████ | 6634/9000 [5:30:58<2:48:05, 4.26s/it] {'lm_loss': '0.0005473', 'visual_loss': '2.612', 'seg_loss': '0.8151', 'dino_loss': '0.8992', 'depth_loss': '0.2532', 'vggt_mse_loss': '0.2518', 'vggt_cos_loss': '0.01354', 'pidinet_loss': '0.1876', 'siglip_loss': '0.4574', 'epoch': '0.2387'} + 74%|██████████████████████ | 6634/9000 [5:31:04<2:48:05, 4.26s/it][Dataset] cur_step=6635 phase=C_full_covt + 74%|██████████████████████ | 6635/9000 [5:31:05<3:13:32, 4.91s/it][Dataset] cur_step=6635 phase=C_full_covt +[Dataset] cur_step=6635 phase=C_full_covt +[Dataset] cur_step=6635 phase=C_full_covt[Dataset] cur_step=6635 phase=C_full_covt[Dataset] cur_step=6635 phase=C_full_covt[Dataset] cur_step=6635 phase=C_full_covt + + + +[Dataset] cur_step=6635 phase=C_full_covt + {'loss': '2.929', 'grad_norm': '2.479', 'learning_rate': '8.86e-06', 'epoch': '0.2387'} + 74%|██████████████████████ | 6635/9000 [5:31:05<3:13:32, 4.91s/it] {'lm_loss': '0.4748', 'visual_loss': '2.63', 'seg_loss': '0.7328', 'dino_loss': '0.9184', 'depth_loss': '0.2588', 'vggt_mse_loss': '0.2568', 'vggt_cos_loss': '0.02066', 'pidinet_loss': '0.2306', 'siglip_loss': '0.4893', 'epoch': '0.2387'} + 74%|██████████████████████ | 6635/9000 [5:31:08<3:13:32, 4.91s/it][Dataset] cur_step=6636 phase=C_full_covt +[Dataset] cur_step=6636 phase=C_full_covt +[Dataset] cur_step=6636 phase=C_full_covt +[Dataset] cur_step=6636 phase=C_full_covt +[Dataset] cur_step=6636 phase=C_full_covt +[Dataset] cur_step=6636 phase=C_full_covt + 74%|██████████████████████ | 6636/9000 [5:31:09<3:00:52, 4.59s/it][Dataset] cur_step=6636 phase=C_full_covt[Dataset] cur_step=6636 phase=C_full_covt + + {'loss': '3.164', 'grad_norm': '15.17', 'learning_rate': '8.853e-06', 'epoch': '0.2387'} + 74%|██████████████████████ | 6636/9000 [5:31:09<3:00:52, 4.59s/it] {'lm_loss': '1.015', 'visual_loss': '2.685', 'seg_loss': '0.793', 'dino_loss': '0.9004', 'depth_loss': '0.2315', 'vggt_mse_loss': '0.2301', 'vggt_cos_loss': '0.01421', 'pidinet_loss': '0.2566', 'siglip_loss': '0.5033', 'epoch': '0.2387'} + 74%|██████████████████████ | 6636/9000 [5:31:12<3:00:52, 4.59s/it][Dataset] cur_step=6637 phase=C_full_covt +[Dataset] cur_step=6637 phase=C_full_covt +[Dataset] cur_step=6637 phase=C_full_covt[Dataset] cur_step=6637 phase=C_full_covt + +[Dataset] cur_step=6637 phase=C_full_covt +[Dataset] cur_step=6637 phase=C_full_covt + 74%|██████████████████████ | 6637/9000 [5:31:13<2:59:19, 4.55s/it][Dataset] cur_step=6637 phase=C_full_covt +[Dataset] cur_step=6637 phase=C_full_covt + {'loss': '3.022', 'grad_norm': '1.456', 'learning_rate': '8.846e-06', 'epoch': '0.2388'} + 74%|██████████████████████ | 6637/9000 [5:31:13<2:59:19, 4.55s/it] {'lm_loss': '0.6075', 'visual_loss': '2.839', 'seg_loss': '0.8437', 'dino_loss': '0.9374', 'depth_loss': '0.252', 'vggt_mse_loss': '0.2503', 'vggt_cos_loss': '0.01711', 'pidinet_loss': '0.2559', 'siglip_loss': '0.5497', 'epoch': '0.2388'} + 74%|██████████████████████ | 6637/9000 [5:31:16<2:59:19, 4.55s/it][Dataset] cur_step=6638 phase=C_full_covt +[Dataset] cur_step=6638 phase=C_full_covt +[Dataset] cur_step=6638 phase=C_full_covt[Dataset] cur_step=6638 phase=C_full_covt + +[Dataset] cur_step=6638 phase=C_full_covt +[Dataset] cur_step=6638 phase=C_full_covt 74%|██████████████████████▏ | 6638/9000 [5:31:17<2:53:40, 4.41s/it] +[Dataset] cur_step=6638 phase=C_full_covt +[Dataset] cur_step=6638 phase=C_full_covt + {'loss': '3.218', 'grad_norm': '4.306', 'learning_rate': '8.839e-06', 'epoch': '0.2388'} + 74%|██████████████████████▏ | 6638/9000 [5:31:17<2:53:40, 4.41s/it] {'lm_loss': '0.3931', 'visual_loss': '2.506', 'seg_loss': '0.6115', 'dino_loss': '0.8824', 'depth_loss': '0.2078', 'vggt_mse_loss': '0.2064', 'vggt_cos_loss': '0.01462', 'pidinet_loss': '0.2444', 'siglip_loss': '0.5596', 'epoch': '0.2388'} + 74%|██████████████████████▏ | 6638/9000 [5:31:20<2:53:40, 4.41s/it][Dataset] cur_step=6639 phase=C_full_covt +[Dataset] cur_step=6639 phase=C_full_covt[Dataset] cur_step=6639 phase=C_full_covt +[Dataset] cur_step=6639 phase=C_full_covt + +[Dataset] cur_step=6639 phase=C_full_covt + 74%|██████████████████████▏ | 6639/9000 [5:31:21<2:46:35, 4.23s/it][Dataset] cur_step=6639 phase=C_full_covt +[Dataset] cur_step=6639 phase=C_full_covt +[Dataset] cur_step=6639 phase=C_full_covt + {'loss': '3', 'grad_norm': '1.733', 'learning_rate': '8.832e-06', 'epoch': '0.2388'} + 74%|██████████████████████▏ | 6639/9000 [5:31:21<2:46:35, 4.23s/it] {'lm_loss': '0.9346', 'visual_loss': '2.963', 'seg_loss': '0.8594', 'dino_loss': '0.9115', 'depth_loss': '0.2711', 'vggt_mse_loss': '0.269', 'vggt_cos_loss': '0.02105', 'pidinet_loss': '0.2416', 'siglip_loss': '0.6795', 'epoch': '0.2388'} + 74%|██████████████████████▏ | 6639/9000 [5:31:24<2:46:35, 4.23s/it][Dataset] cur_step=6640 phase=C_full_covt +[Dataset] cur_step=6640 phase=C_full_covt +[Dataset] cur_step=6640 phase=C_full_covt +[Dataset] cur_step=6640 phase=C_full_covt[Dataset] cur_step=6640 phase=C_full_covt + +[Dataset] cur_step=6640 phase=C_full_covt + 74%|██████████████████████▏ | 6640/9000 [5:31:25<2:44:30, 4.18s/it][Dataset] cur_step=6640 phase=C_full_covt +[Dataset] cur_step=6640 phase=C_full_covt + {'loss': '3.024', 'grad_norm': '1.495', 'learning_rate': '8.825e-06', 'epoch': '0.2389'} + 74%|██████████████████████▏ | 6640/9000 [5:31:25<2:44:30, 4.18s/it] {'lm_loss': '0.1883', 'visual_loss': '2.625', 'seg_loss': '0.7459', 'dino_loss': '0.9344', 'depth_loss': '0.2733', 'vggt_mse_loss': '0.2714', 'vggt_cos_loss': '0.01903', 'pidinet_loss': '0.2252', 'siglip_loss': '0.4467', 'epoch': '0.2389'} + 74%|██████████████████████▏ | 6640/9000 [5:31:28<2:44:30, 4.18s/it][Dataset] cur_step=6641 phase=C_full_covt +[Dataset] cur_step=6641 phase=C_full_covt +[Dataset] cur_step=6641 phase=C_full_covt +[Dataset] cur_step=6641 phase=C_full_covt + 74%|██████████████████████▏ | 6641/9000 [5:31:29<2:42:10, 4.12s/it][Dataset] cur_step=6641 phase=C_full_covt +[Dataset] cur_step=6641 phase=C_full_covt +[Dataset] cur_step=6641 phase=C_full_covt +[Dataset] cur_step=6641 phase=C_full_covt + {'loss': '2.934', 'grad_norm': '2.069', 'learning_rate': '8.818e-06', 'epoch': '0.2389'} + 74%|██████████████████████▏ | 6641/9000 [5:31:31<2:42:10, 4.12s/it] {'lm_loss': '0.008725', 'visual_loss': '2.688', 'seg_loss': '0.7719', 'dino_loss': '0.9159', 'depth_loss': '0.298', 'vggt_mse_loss': '0.2955', 'vggt_cos_loss': '0.02503', 'pidinet_loss': '0.2925', 'siglip_loss': '0.4102', 'epoch': '0.2389'} + 74%|██████████████████████▏ | 6641/9000 [5:31:35<2:42:10, 4.12s/it][Dataset] cur_step=6642 phase=C_full_covt[Dataset] cur_step=6642 phase=C_full_covt + +[Dataset] cur_step=6642 phase=C_full_covt + 74%|██████████████████████▏ | 6642/9000 [5:31:35<3:08:26, 4.79s/it][Dataset] cur_step=6642 phase=C_full_covt +[Dataset] cur_step=6642 phase=C_full_covt +[Dataset] cur_step=6642 phase=C_full_covt +[Dataset] cur_step=6642 phase=C_full_covt +[Dataset] cur_step=6642 phase=C_full_covt + {'loss': '3.126', 'grad_norm': '1.505', 'learning_rate': '8.811e-06', 'epoch': '0.2389'} + 74%|██████████████████████▏ | 6642/9000 [5:31:35<3:08:26, 4.79s/it] {'lm_loss': '0.7233', 'visual_loss': '2.501', 'seg_loss': '0.6937', 'dino_loss': '0.9132', 'depth_loss': '0.1998', 'vggt_mse_loss': '0.1986', 'vggt_cos_loss': '0.0122', 'pidinet_loss': '0.1818', 'siglip_loss': '0.5123', 'epoch': '0.2389'} + 74%|██████████████████████▏ | 6642/9000 [5:31:39<3:08:26, 4.79s/it][Dataset] cur_step=6643 phase=C_full_covt +[Dataset] cur_step=6643 phase=C_full_covt +[Dataset] cur_step=6643 phase=C_full_covt +[Dataset] cur_step=6643 phase=C_full_covt +[Dataset] cur_step=6643 phase=C_full_covt +[Dataset] cur_step=6643 phase=C_full_covt +[Dataset] cur_step=6643 phase=C_full_covt +[Dataset] cur_step=6643 phase=C_full_covt + 74%|██████████████████████▏ | 6643/9000 [5:31:39<2:59:05, 4.56s/it] {'loss': '3.326', 'grad_norm': '1.83', 'learning_rate': '8.804e-06', 'epoch': '0.239'} + 74%|██████████████████████▏ | 6643/9000 [5:31:39<2:59:05, 4.56s/it] {'lm_loss': '0.03074', 'visual_loss': '2.601', 'seg_loss': '0.7099', 'dino_loss': '0.9302', 'depth_loss': '0.2766', 'vggt_mse_loss': '0.2743', 'vggt_cos_loss': '0.02316', 'pidinet_loss': '0.2463', 'siglip_loss': '0.4383', 'epoch': '0.239'} + 74%|██████████████████████▏ | 6643/9000 [5:31:42<2:59:05, 4.56s/it][Dataset] cur_step=6644 phase=C_full_covt[Dataset] cur_step=6644 phase=C_full_covt + +[Dataset] cur_step=6644 phase=C_full_covt +[Dataset] cur_step=6644 phase=C_full_covt[Dataset] cur_step=6644 phase=C_full_covt + +[Dataset] cur_step=6644 phase=C_full_covt + 74%|██████████████████████▏ | 6644/9000 [5:31:43<2:49:36, 4.32s/it][Dataset] cur_step=6644 phase=C_full_covt +[Dataset] cur_step=6644 phase=C_full_covt + {'loss': '3.021', 'grad_norm': '5.335', 'learning_rate': '8.797e-06', 'epoch': '0.239'} + 74%|██████████████████████▏ | 6644/9000 [5:31:43<2:49:36, 4.32s/it] {'lm_loss': '0.2852', 'visual_loss': '2.566', 'seg_loss': '0.6216', 'dino_loss': '0.8954', 'depth_loss': '0.3408', 'vggt_mse_loss': '0.339', 'vggt_cos_loss': '0.01861', 'pidinet_loss': '0.2021', 'siglip_loss': '0.5064', 'epoch': '0.239'} + 74%|██████████████████████▏ | 6644/9000 [5:31:47<2:49:36, 4.32s/it][Dataset] cur_step=6645 phase=C_full_covt +[Dataset] cur_step=6645 phase=C_full_covt +[Dataset] cur_step=6645 phase=C_full_covt + 74%|██████████████████████▏ | 6645/9000 [5:31:50<3:14:16, 4.95s/it][Dataset] cur_step=6645 phase=C_full_covt +[Dataset] cur_step=6645 phase=C_full_covt +[Dataset] cur_step=6645 phase=C_full_covt +[Dataset] cur_step=6645 phase=C_full_covt +[Dataset] cur_step=6645 phase=C_full_covt + {'loss': '2.688', 'grad_norm': '1.475', 'learning_rate': '8.79e-06', 'epoch': '0.2391'} + 74%|██████████████████████▏ | 6645/9000 [5:31:50<3:14:16, 4.95s/it] {'lm_loss': '0.4654', 'visual_loss': '2.779', 'seg_loss': '0.6864', 'dino_loss': '0.9267', 'depth_loss': '0.3331', 'vggt_mse_loss': '0.3314', 'vggt_cos_loss': '0.01668', 'pidinet_loss': '0.2817', 'siglip_loss': '0.551', 'epoch': '0.2391'} + 74%|██████████████████████▏ | 6645/9000 [5:31:53<3:14:16, 4.95s/it][Dataset] cur_step=6646 phase=C_full_covt +[Dataset] cur_step=6646 phase=C_full_covt +[Dataset] cur_step=6646 phase=C_full_covt +[Dataset] cur_step=6646 phase=C_full_covt +[Dataset] cur_step=6646 phase=C_full_covt +[Dataset] cur_step=6646 phase=C_full_covt + 74%|██████████████████████▏ | 6646/9000 [5:31:53<3:02:54, 4.66s/it][Dataset] cur_step=6646 phase=C_full_covt +[Dataset] cur_step=6646 phase=C_full_covt + {'loss': '3.157', 'grad_norm': '1.85', 'learning_rate': '8.783e-06', 'epoch': '0.2391'} + 74%|██████████████████████▏ | 6646/9000 [5:31:54<3:02:54, 4.66s/it] {'lm_loss': '0.2828', 'visual_loss': '2.466', 'seg_loss': '0.6733', 'dino_loss': '0.8958', 'depth_loss': '0.2272', 'vggt_mse_loss': '0.2257', 'vggt_cos_loss': '0.01492', 'pidinet_loss': '0.1978', 'siglip_loss': '0.4721', 'epoch': '0.2391'} + 74%|██████████████████████▏ | 6646/9000 [5:31:57<3:02:54, 4.66s/it][Dataset] cur_step=6647 phase=C_full_covt[Dataset] cur_step=6647 phase=C_full_covt + +[Dataset] cur_step=6647 phase=C_full_covt 74%|██████████████████████▏ | 6647/9000 [5:31:58<2:58:11, 4.54s/it] +[Dataset] cur_step=6647 phase=C_full_covt +[Dataset] cur_step=6647 phase=C_full_covt[Dataset] cur_step=6647 phase=C_full_covt + +[Dataset] cur_step=6647 phase=C_full_covt +[Dataset] cur_step=6647 phase=C_full_covt + {'loss': '3.115', 'grad_norm': '1.804', 'learning_rate': '8.776e-06', 'epoch': '0.2391'} + 74%|██████████████████████▏ | 6647/9000 [5:31:58<2:58:11, 4.54s/it] {'lm_loss': '0.44', 'visual_loss': '3.185', 'seg_loss': '0.7886', 'dino_loss': '0.9394', 'depth_loss': '0.3316', 'vggt_mse_loss': '0.329', 'vggt_cos_loss': '0.02557', 'pidinet_loss': '0.2906', 'siglip_loss': '0.8344', 'epoch': '0.2391'} + 74%|██████████████████████▏ | 6647/9000 [5:32:01<2:58:11, 4.54s/it][Dataset] cur_step=6648 phase=C_full_covt +[Dataset] cur_step=6648 phase=C_full_covt +[Dataset] cur_step=6648 phase=C_full_covt[Dataset] cur_step=6648 phase=C_full_covt + +[Dataset] cur_step=6648 phase=C_full_covt +[Dataset] cur_step=6648 phase=C_full_covt +[Dataset] cur_step=6648 phase=C_full_covt +[Dataset] cur_step=6648 phase=C_full_covt + 74%|██████████████████████▏ | 6648/9000 [5:32:02<2:55:20, 4.47s/it] {'loss': '3.287', 'grad_norm': '1.891', 'learning_rate': '8.769e-06', 'epoch': '0.2392'} + 74%|██████████████████████▏ | 6648/9000 [5:32:02<2:55:20, 4.47s/it] {'lm_loss': '1.01', 'visual_loss': '2.867', 'seg_loss': '0.7082', 'dino_loss': '0.9009', 'depth_loss': '0.3183', 'vggt_mse_loss': '0.3155', 'vggt_cos_loss': '0.02797', 'pidinet_loss': '0.2248', 'siglip_loss': '0.7147', 'epoch': '0.2392'} + 74%|██████████████████████▏ | 6648/9000 [5:32:05<2:55:20, 4.47s/it][Dataset] cur_step=6649 phase=C_full_covt +[Dataset] cur_step=6649 phase=C_full_covt[Dataset] cur_step=6649 phase=C_full_covt + +[Dataset] cur_step=6649 phase=C_full_covt +[Dataset] cur_step=6649 phase=C_full_covt +[Dataset] cur_step=6649 phase=C_full_covt +[Dataset] cur_step=6649 phase=C_full_covt + 74%|██████████████████████▏ | 6649/9000 [5:32:06<2:48:07, 4.29s/it][Dataset] cur_step=6649 phase=C_full_covt + {'loss': '3.341', 'grad_norm': '4.37', 'learning_rate': '8.762e-06', 'epoch': '0.2392'} + 74%|██████████████████████▏ | 6649/9000 [5:32:06<2:48:07, 4.29s/it] {'lm_loss': '0.5996', 'visual_loss': '2.629', 'seg_loss': '0.7143', 'dino_loss': '0.9241', 'depth_loss': '0.1655', 'vggt_mse_loss': '0.1644', 'vggt_cos_loss': '0.01152', 'pidinet_loss': '0.267', 'siglip_loss': '0.558', 'epoch': '0.2392'} + 74%|██████████████████████▏ | 6649/9000 [5:32:09<2:48:07, 4.29s/it][Dataset] cur_step=6650 phase=C_full_covt +[Dataset] cur_step=6650 phase=C_full_covt +[Dataset] cur_step=6650 phase=C_full_covt + 74%|██████████████████████▏ | 6650/9000 [5:32:10<2:44:16, 4.19s/it][Dataset] cur_step=6650 phase=C_full_covt +[Dataset] cur_step=6650 phase=C_full_covt[Dataset] cur_step=6650 phase=C_full_covt + +[Dataset] cur_step=6650 phase=C_full_covt[Dataset] cur_step=6650 phase=C_full_covt + + {'loss': '3.113', 'grad_norm': '38.49', 'learning_rate': '8.755e-06', 'epoch': '0.2392'} + 74%|██████████████████████▏ | 6650/9000 [5:32:10<2:44:16, 4.19s/it] {'lm_loss': '0.7916', 'visual_loss': '2.656', 'seg_loss': '0.7752', 'dino_loss': '0.9114', 'depth_loss': '0.2518', 'vggt_mse_loss': '0.2499', 'vggt_cos_loss': '0.01832', 'pidinet_loss': '0.2379', 'siglip_loss': '0.4799', 'epoch': '0.2392'} + 74%|██████████████████████▏ | 6650/9000 [5:32:13<2:44:16, 4.19s/it][Dataset] cur_step=6651 phase=C_full_covt +[Dataset] cur_step=6651 phase=C_full_covt +[Dataset] cur_step=6651 phase=C_full_covt +[Dataset] cur_step=6651 phase=C_full_covt +[Dataset] cur_step=6651 phase=C_full_covt +[Dataset] cur_step=6651 phase=C_full_covt + 74%|██████████████████████▏ | 6651/9000 [5:32:14<2:42:15, 4.14s/it][Dataset] cur_step=6651 phase=C_full_covt +[Dataset] cur_step=6651 phase=C_full_covt + {'loss': '3.158', 'grad_norm': '4.065', 'learning_rate': '8.748e-06', 'epoch': '0.2393'} + 74%|██████████████████████▏ | 6651/9000 [5:32:14<2:42:15, 4.14s/it] {'lm_loss': '0.8224', 'visual_loss': '2.863', 'seg_loss': '0.7512', 'dino_loss': '0.9275', 'depth_loss': '0.2006', 'vggt_mse_loss': '0.1992', 'vggt_cos_loss': '0.01391', 'pidinet_loss': '0.2638', 'siglip_loss': '0.7197', 'epoch': '0.2393'} + 74%|██████████████████████▏ | 6651/9000 [5:32:17<2:42:15, 4.14s/it][Dataset] cur_step=6652 phase=C_full_covt +[Dataset] cur_step=6652 phase=C_full_covt +[Dataset] cur_step=6652 phase=C_full_covt + 74%|██████████████████████▏ | 6652/9000 [5:32:18<2:41:37, 4.13s/it][Dataset] cur_step=6652 phase=C_full_covt[Dataset] cur_step=6652 phase=C_full_covt + +[Dataset] cur_step=6652 phase=C_full_covt +[Dataset] cur_step=6652 phase=C_full_covt +[Dataset] cur_step=6652 phase=C_full_covt + {'loss': '2.946', 'grad_norm': '1.687', 'learning_rate': '8.741e-06', 'epoch': '0.2393'} + 74%|██████████████████████▏ | 6652/9000 [5:32:18<2:41:37, 4.13s/it] {'lm_loss': '0.2375', 'visual_loss': '2.484', 'seg_loss': '0.6544', 'dino_loss': '0.8963', 'depth_loss': '0.1865', 'vggt_mse_loss': '0.1853', 'vggt_cos_loss': '0.01128', 'pidinet_loss': '0.2209', 'siglip_loss': '0.5255', 'epoch': '0.2393'} + 74%|██████████████████████▏ | 6652/9000 [5:32:21<2:41:37, 4.13s/it][Dataset] cur_step=6653 phase=C_full_covt[Dataset] cur_step=6653 phase=C_full_covt[Dataset] cur_step=6653 phase=C_full_covt + + +[Dataset] cur_step=6653 phase=C_full_covt[Dataset] cur_step=6653 phase=C_full_covt + + 74%|██████████████████████▏ | 6653/9000 [5:32:22<2:36:09, 3.99s/it][Dataset] cur_step=6653 phase=C_full_covt +[Dataset] cur_step=6653 phase=C_full_covt +[Dataset] cur_step=6653 phase=C_full_covt + {'loss': '2.947', 'grad_norm': '11.56', 'learning_rate': '8.734e-06', 'epoch': '0.2393'} + 74%|██████████████████████▏ | 6653/9000 [5:32:22<2:36:09, 3.99s/it] {'lm_loss': '0.6219', 'visual_loss': '2.745', 'seg_loss': '0.7847', 'dino_loss': '0.923', 'depth_loss': '0.2783', 'vggt_mse_loss': '0.2761', 'vggt_cos_loss': '0.02133', 'pidinet_loss': '0.243', 'siglip_loss': '0.5165', 'epoch': '0.2393'} + 74%|██████████████████████▏ | 6653/9000 [5:32:25<2:36:09, 3.99s/it][Dataset] cur_step=6654 phase=C_full_covt +[Dataset] cur_step=6654 phase=C_full_covt +[Dataset] cur_step=6654 phase=C_full_covt +[Dataset] cur_step=6654 phase=C_full_covt +[Dataset] cur_step=6654 phase=C_full_covt +[Dataset] cur_step=6654 phase=C_full_covt + 74%|██████████████████████▏ | 6654/9000 [5:32:26<2:35:25, 3.98s/it][Dataset] cur_step=6654 phase=C_full_covt +[Dataset] cur_step=6654 phase=C_full_covt + {'loss': '3.217', 'grad_norm': '4.19', 'learning_rate': '8.727e-06', 'epoch': '0.2394'} + 74%|██████████████████████▏ | 6654/9000 [5:32:26<2:35:25, 3.98s/it] {'lm_loss': '0.05754', 'visual_loss': '2.519', 'seg_loss': '0.6831', 'dino_loss': '0.9057', 'depth_loss': '0.228', 'vggt_mse_loss': '0.2262', 'vggt_cos_loss': '0.01823', 'pidinet_loss': '0.2749', 'siglip_loss': '0.4275', 'epoch': '0.2394'} + 74%|██████████████████████▏ | 6654/9000 [5:32:29<2:35:25, 3.98s/it][Dataset] cur_step=6655 phase=C_full_covt +[Dataset] cur_step=6655 phase=C_full_covt +[Dataset] cur_step=6655 phase=C_full_covt +[Dataset] cur_step=6655 phase=C_full_covt +[Dataset] cur_step=6655 phase=C_full_covt +[Dataset] cur_step=6655 phase=C_full_covt + 74%|██████████████████████▏ | 6655/9000 [5:32:30<2:37:09, 4.02s/it][Dataset] cur_step=6655 phase=C_full_covt +[Dataset] cur_step=6655 phase=C_full_covt + {'loss': '2.967', 'grad_norm': '1.708', 'learning_rate': '8.72e-06', 'epoch': '0.2394'} + 74%|██████████████████████▏ | 6655/9000 [5:32:30<2:37:09, 4.02s/it] {'lm_loss': '0.0006975', 'visual_loss': '2.564', 'seg_loss': '0.6685', 'dino_loss': '0.9047', 'depth_loss': '0.2493', 'vggt_mse_loss': '0.2473', 'vggt_cos_loss': '0.01943', 'pidinet_loss': '0.2557', 'siglip_loss': '0.4854', 'epoch': '0.2394'} + 74%|██████████████████████▏ | 6655/9000 [5:32:33<2:37:09, 4.02s/it][Dataset] cur_step=6656 phase=C_full_covt +[Dataset] cur_step=6656 phase=C_full_covt[Dataset] cur_step=6656 phase=C_full_covt[Dataset] cur_step=6656 phase=C_full_covt + + +[Dataset] cur_step=6656 phase=C_full_covt +[Dataset] cur_step=6656 phase=C_full_covt +[Dataset] cur_step=6656 phase=C_full_covt +[Dataset] cur_step=6656 phase=C_full_covt + 74%|██████████████████████▏ | 6656/9000 [5:32:34<2:35:55, 3.99s/it] {'loss': '2.975', 'grad_norm': '2.942', 'learning_rate': '8.713e-06', 'epoch': '0.2395'} + 74%|██████████████████████▏ | 6656/9000 [5:32:34<2:35:55, 3.99s/it] {'lm_loss': '0.5788', 'visual_loss': '2.475', 'seg_loss': '0.51', 'dino_loss': '0.9082', 'depth_loss': '0.2579', 'vggt_mse_loss': '0.2561', 'vggt_cos_loss': '0.01836', 'pidinet_loss': '0.285', 'siglip_loss': '0.514', 'epoch': '0.2395'} + 74%|██████████████████████▏ | 6656/9000 [5:32:37<2:35:55, 3.99s/it][Dataset] cur_step=6657 phase=C_full_covt +[Dataset] cur_step=6657 phase=C_full_covt +[Dataset] cur_step=6657 phase=C_full_covt[Dataset] cur_step=6657 phase=C_full_covt + +[Dataset] cur_step=6657 phase=C_full_covt + 74%|██████████████████████▏ | 6657/9000 [5:32:38<2:41:11, 4.13s/it][Dataset] cur_step=6657 phase=C_full_covt +[Dataset] cur_step=6657 phase=C_full_covt +[Dataset] cur_step=6657 phase=C_full_covt + {'loss': '3.033', 'grad_norm': '2.178', 'learning_rate': '8.706e-06', 'epoch': '0.2395'} + 74%|██████████████████████▏ | 6657/9000 [5:32:38<2:41:11, 4.13s/it] {'lm_loss': '0.006743', 'visual_loss': '2.687', 'seg_loss': '0.7626', 'dino_loss': '0.9429', 'depth_loss': '0.2211', 'vggt_mse_loss': '0.2197', 'vggt_cos_loss': '0.0141', 'pidinet_loss': '0.2532', 'siglip_loss': '0.5072', 'epoch': '0.2395'} + 74%|██████████████████████▏ | 6657/9000 [5:32:41<2:41:11, 4.13s/it][Dataset] cur_step=6658 phase=C_full_covt +[Dataset] cur_step=6658 phase=C_full_covt +[Dataset] cur_step=6658 phase=C_full_covt[Dataset] cur_step=6658 phase=C_full_covt + +[Dataset] cur_step=6658 phase=C_full_covt +[Dataset] cur_step=6658 phase=C_full_covt +[Dataset] cur_step=6658 phase=C_full_covt + 74%|██████████████████████▏ | 6658/9000 [5:32:42<2:43:33, 4.19s/it][Dataset] cur_step=6658 phase=C_full_covt + {'loss': '3.123', 'grad_norm': '1.931', 'learning_rate': '8.699e-06', 'epoch': '0.2395'} + 74%|██████████████████████▏ | 6658/9000 [5:32:42<2:43:33, 4.19s/it] {'lm_loss': '0.7469', 'visual_loss': '2.294', 'seg_loss': '0.6073', 'dino_loss': '0.9061', 'depth_loss': '0.2154', 'vggt_mse_loss': '0.2139', 'vggt_cos_loss': '0.01462', 'pidinet_loss': '0.1778', 'siglip_loss': '0.387', 'epoch': '0.2395'} + 74%|██████████████████████▏ | 6658/9000 [5:32:46<2:43:33, 4.19s/it][Dataset] cur_step=6659 phase=C_full_covt +[Dataset] cur_step=6659 phase=C_full_covt[Dataset] cur_step=6659 phase=C_full_covt + + 74%|██████████████████████▏ | 6659/9000 [5:32:46<2:40:45, 4.12s/it][Dataset] cur_step=6659 phase=C_full_covt +[Dataset] cur_step=6659 phase=C_full_covt +[Dataset] cur_step=6659 phase=C_full_covt +[Dataset] cur_step=6659 phase=C_full_covt +[Dataset] cur_step=6659 phase=C_full_covt + {'loss': '3.15', 'grad_norm': '4.512', 'learning_rate': '8.692e-06', 'epoch': '0.2396'} + 74%|██████████████████████▏ | 6659/9000 [5:32:46<2:40:45, 4.12s/it] {'lm_loss': '0.6434', 'visual_loss': '2.732', 'seg_loss': '0.7024', 'dino_loss': '0.9057', 'depth_loss': '0.2146', 'vggt_mse_loss': '0.2128', 'vggt_cos_loss': '0.01751', 'pidinet_loss': '0.1986', 'siglip_loss': '0.7109', 'epoch': '0.2396'} + 74%|██████████████████████▏ | 6659/9000 [5:32:50<2:40:45, 4.12s/it][Dataset] cur_step=6660 phase=C_full_covt[Dataset] cur_step=6660 phase=C_full_covt +[Dataset] cur_step=6660 phase=C_full_covt +[Dataset] cur_step=6660 phase=C_full_covt +[Dataset] cur_step=6660 phase=C_full_covt +[Dataset] cur_step=6660 phase=C_full_covt +[Dataset] cur_step=6660 phase=C_full_covt +[Dataset] cur_step=6660 phase=C_full_covt + + 74%|██████████████████████▏ | 6660/9000 [5:32:50<2:39:15, 4.08s/it] {'loss': '3.25', 'grad_norm': '13.16', 'learning_rate': '8.685e-06', 'epoch': '0.2396'} + 74%|██████████████████████▏ | 6660/9000 [5:32:50<2:39:15, 4.08s/it] {'lm_loss': '0.5403', 'visual_loss': '2.759', 'seg_loss': '0.75', 'dino_loss': '0.8853', 'depth_loss': '0.2916', 'vggt_mse_loss': '0.2898', 'vggt_cos_loss': '0.01774', 'pidinet_loss': '0.2202', 'siglip_loss': '0.6123', 'epoch': '0.2396'} + 74%|██████████████████████▏ | 6660/9000 [5:32:54<2:39:15, 4.08s/it][Dataset] cur_step=6661 phase=C_full_covt +[Dataset] cur_step=6661 phase=C_full_covt +[Dataset] cur_step=6661 phase=C_full_covt +[Dataset] cur_step=6661 phase=C_full_covt + 74%|██████████████████████▏ | 6661/9000 [5:32:55<2:40:44, 4.12s/it][Dataset] cur_step=6661 phase=C_full_covt +[Dataset] cur_step=6661 phase=C_full_covt +[Dataset] cur_step=6661 phase=C_full_covt +[Dataset] cur_step=6661 phase=C_full_covt + {'loss': '3.171', 'grad_norm': '2.558', 'learning_rate': '8.678e-06', 'epoch': '0.2396'} + 74%|██████████████████████▏ | 6661/9000 [5:32:55<2:40:44, 4.12s/it] {'lm_loss': '0.004608', 'visual_loss': '2.312', 'seg_loss': '0.6006', 'dino_loss': '0.8679', 'depth_loss': '0.1701', 'vggt_mse_loss': '0.169', 'vggt_cos_loss': '0.01107', 'pidinet_loss': '0.2466', 'siglip_loss': '0.4267', 'epoch': '0.2396'} + 74%|██████████████████████▏ | 6661/9000 [5:32:58<2:40:44, 4.12s/it][Dataset] cur_step=6662 phase=C_full_covt +[Dataset] cur_step=6662 phase=C_full_covt[Dataset] cur_step=6662 phase=C_full_covt + +[Dataset] cur_step=6662 phase=C_full_covt + 74%|██████████████████████▏ | 6662/9000 [5:32:59<2:42:04, 4.16s/it][Dataset] cur_step=6662 phase=C_full_covt +[Dataset] cur_step=6662 phase=C_full_covt +[Dataset] cur_step=6662 phase=C_full_covt +[Dataset] cur_step=6662 phase=C_full_covt + {'loss': '2.974', 'grad_norm': '2.722', 'learning_rate': '8.671e-06', 'epoch': '0.2397'} + 74%|██████████████████████▏ | 6662/9000 [5:32:59<2:42:04, 4.16s/it] {'lm_loss': '0.6136', 'visual_loss': '2.564', 'seg_loss': '0.7003', 'dino_loss': '0.9088', 'depth_loss': '0.1959', 'vggt_mse_loss': '0.1946', 'vggt_cos_loss': '0.01321', 'pidinet_loss': '0.2419', 'siglip_loss': '0.5176', 'epoch': '0.2397'} + 74%|██████████████████████▏ | 6662/9000 [5:33:02<2:42:04, 4.16s/it][Dataset] cur_step=6663 phase=C_full_covt +[Dataset] cur_step=6663 phase=C_full_covt[Dataset] cur_step=6663 phase=C_full_covt + +[Dataset] cur_step=6663 phase=C_full_covt + 74%|██████████████████████▏ | 6663/9000 [5:33:03<2:41:57, 4.16s/it][Dataset] cur_step=6663 phase=C_full_covt +[Dataset] cur_step=6663 phase=C_full_covt +[Dataset] cur_step=6663 phase=C_full_covt +[Dataset] cur_step=6663 phase=C_full_covt + {'loss': '3.052', 'grad_norm': '6.36', 'learning_rate': '8.664e-06', 'epoch': '0.2397'} + 74%|██████████████████████▏ | 6663/9000 [5:33:03<2:41:57, 4.16s/it] {'lm_loss': '0.2097', 'visual_loss': '2.583', 'seg_loss': '0.6498', 'dino_loss': '0.8978', 'depth_loss': '0.2342', 'vggt_mse_loss': '0.2324', 'vggt_cos_loss': '0.0179', 'pidinet_loss': '0.199', 'siglip_loss': '0.6023', 'epoch': '0.2397'} + 74%|██████████████████████▏ | 6663/9000 [5:33:07<2:41:57, 4.16s/it][Dataset] cur_step=6664 phase=C_full_covt +[Dataset] cur_step=6664 phase=C_full_covt 74%|██████████████████████▏ | 6664/9000 [5:33:07<2:43:25, 4.20s/it][Dataset] cur_step=6664 phase=C_full_covt + +[Dataset] cur_step=6664 phase=C_full_covt +[Dataset] cur_step=6664 phase=C_full_covt[Dataset] cur_step=6664 phase=C_full_covt + +[Dataset] cur_step=6664 phase=C_full_covt +[Dataset] cur_step=6664 phase=C_full_covt + {'loss': '3.015', 'grad_norm': '2.351', 'learning_rate': '8.658e-06', 'epoch': '0.2397'} + 74%|██████████████████████▏ | 6664/9000 [5:33:07<2:43:25, 4.20s/it] {'lm_loss': '0.631', 'visual_loss': '2.463', 'seg_loss': '0.6263', 'dino_loss': '0.9149', 'depth_loss': '0.258', 'vggt_mse_loss': '0.2561', 'vggt_cos_loss': '0.01875', 'pidinet_loss': '0.1631', 'siglip_loss': '0.5011', 'epoch': '0.2397'} + 74%|██████████████████████▏ | 6664/9000 [5:33:11<2:43:25, 4.20s/it][Dataset] cur_step=6665 phase=C_full_covt + 74%|██████████████████████▏ | 6665/9000 [5:33:12<2:46:06, 4.27s/it][Dataset] cur_step=6665 phase=C_full_covt[Dataset] cur_step=6665 phase=C_full_covt + +[Dataset] cur_step=6665 phase=C_full_covt[Dataset] cur_step=6665 phase=C_full_covt + +[Dataset] cur_step=6665 phase=C_full_covt +[Dataset] cur_step=6665 phase=C_full_covt +[Dataset] cur_step=6665 phase=C_full_covt + {'loss': '3.168', 'grad_norm': '2.452', 'learning_rate': '8.651e-06', 'epoch': '0.2398'} + 74%|██████████████████████▏ | 6665/9000 [5:33:12<2:46:06, 4.27s/it] {'lm_loss': '0.5096', 'visual_loss': '2.704', 'seg_loss': '0.7324', 'dino_loss': '0.9103', 'depth_loss': '0.2844', 'vggt_mse_loss': '0.2826', 'vggt_cos_loss': '0.01827', 'pidinet_loss': '0.2005', 'siglip_loss': '0.5768', 'epoch': '0.2398'} + 74%|██████████████████████▏ | 6665/9000 [5:33:15<2:46:06, 4.27s/it][Dataset] cur_step=6666 phase=C_full_covt +[Dataset] cur_step=6666 phase=C_full_covt +[Dataset] cur_step=6666 phase=C_full_covt +[Dataset] cur_step=6666 phase=C_full_covt +[Dataset] cur_step=6666 phase=C_full_covt +[Dataset] cur_step=6666 phase=C_full_covt +[Dataset] cur_step=6666 phase=C_full_covt + 74%|██████████████████████▏ | 6666/9000 [5:33:16<2:41:14, 4.14s/it][Dataset] cur_step=6666 phase=C_full_covt + {'loss': '3.268', 'grad_norm': '1.863', 'learning_rate': '8.644e-06', 'epoch': '0.2398'} + 74%|██████████████████████▏ | 6666/9000 [5:33:16<2:41:14, 4.14s/it] {'lm_loss': '0.6804', 'visual_loss': '2.858', 'seg_loss': '0.7734', 'dino_loss': '0.9253', 'depth_loss': '0.2457', 'vggt_mse_loss': '0.2437', 'vggt_cos_loss': '0.02032', 'pidinet_loss': '0.281', 'siglip_loss': '0.6325', 'epoch': '0.2398'} + 74%|██████████████████████▏ | 6666/9000 [5:33:19<2:41:14, 4.14s/it][Dataset] cur_step=6667 phase=C_full_covt +[Dataset] cur_step=6667 phase=C_full_covt +[Dataset] cur_step=6667 phase=C_full_covt +[Dataset] cur_step=6667 phase=C_full_covt + 74%|██████████████████████▏ | 6667/9000 [5:33:20<2:45:16, 4.25s/it][Dataset] cur_step=6667 phase=C_full_covt +[Dataset] cur_step=6667 phase=C_full_covt +[Dataset] cur_step=6667 phase=C_full_covt +[Dataset] cur_step=6667 phase=C_full_covt + {'loss': '3.397', 'grad_norm': '3.303', 'learning_rate': '8.637e-06', 'epoch': '0.2398'} + 74%|██████████████████████▏ | 6667/9000 [5:33:20<2:45:16, 4.25s/it] {'lm_loss': '0.7845', 'visual_loss': '2.841', 'seg_loss': '0.7799', 'dino_loss': '0.919', 'depth_loss': '0.2186', 'vggt_mse_loss': '0.2172', 'vggt_cos_loss': '0.01444', 'pidinet_loss': '0.2334', 'siglip_loss': '0.6904', 'epoch': '0.2398'} + 74%|██████████████████████▏ | 6667/9000 [5:33:23<2:45:16, 4.25s/it][Dataset] cur_step=6668 phase=C_full_covt +[Dataset] cur_step=6668 phase=C_full_covt +[Dataset] cur_step=6668 phase=C_full_covt +[Dataset] cur_step=6668 phase=C_full_covt +[Dataset] cur_step=6668 phase=C_full_covt +[Dataset] cur_step=6668 phase=C_full_covt +[Dataset] cur_step=6668 phase=C_full_covt + 74%|██████████████████████▏ | 6668/9000 [5:33:24<2:40:47, 4.14s/it][Dataset] cur_step=6668 phase=C_full_covt + {'loss': '3.075', 'grad_norm': '2.751', 'learning_rate': '8.63e-06', 'epoch': '0.2399'} + 74%|██████████████████████▏ | 6668/9000 [5:33:24<2:40:47, 4.14s/it] {'lm_loss': '0.8975', 'visual_loss': '2.77', 'seg_loss': '0.6722', 'dino_loss': '0.8937', 'depth_loss': '0.2415', 'vggt_mse_loss': '0.2396', 'vggt_cos_loss': '0.01948', 'pidinet_loss': '0.257', 'siglip_loss': '0.7052', 'epoch': '0.2399'} + 74%|██████████████████████▏ | 6668/9000 [5:33:27<2:40:47, 4.14s/it][Dataset] cur_step=6669 phase=C_full_covt +[Dataset] cur_step=6669 phase=C_full_covt +[Dataset] cur_step=6669 phase=C_full_covt +[Dataset] cur_step=6669 phase=C_full_covt[Dataset] cur_step=6669 phase=C_full_covt 74%|██████████████████████▏ | 6669/9000 [5:33:28<2:40:29, 4.13s/it] + +[Dataset] cur_step=6669 phase=C_full_covt +[Dataset] cur_step=6669 phase=C_full_covt[Dataset] cur_step=6669 phase=C_full_covt + + {'loss': '3.316', 'grad_norm': '2.284', 'learning_rate': '8.623e-06', 'epoch': '0.2399'} + 74%|██████████████████████▏ | 6669/9000 [5:33:28<2:40:29, 4.13s/it] {'lm_loss': '0.6615', 'visual_loss': '2.785', 'seg_loss': '0.7796', 'dino_loss': '0.8922', 'depth_loss': '0.2064', 'vggt_mse_loss': '0.2049', 'vggt_cos_loss': '0.01506', 'pidinet_loss': '0.2868', 'siglip_loss': '0.6201', 'epoch': '0.2399'} + 74%|██████████████████████▏ | 6669/9000 [5:33:31<2:40:29, 4.13s/it][Dataset] cur_step=6670 phase=C_full_covt +[Dataset] cur_step=6670 phase=C_full_covt +[Dataset] cur_step=6670 phase=C_full_covt +[Dataset] cur_step=6670 phase=C_full_covt +[Dataset] cur_step=6670 phase=C_full_covt + 74%|██████████████████████▏ | 6670/9000 [5:33:32<2:39:43, 4.11s/it][Dataset] cur_step=6670 phase=C_full_covt +[Dataset] cur_step=6670 phase=C_full_covt +[Dataset] cur_step=6670 phase=C_full_covt + {'loss': '3.135', 'grad_norm': '1.547', 'learning_rate': '8.616e-06', 'epoch': '0.24'} + 74%|██████████████████████▏ | 6670/9000 [5:33:32<2:39:43, 4.11s/it] {'lm_loss': '0.5657', 'visual_loss': '2.387', 'seg_loss': '0.7269', 'dino_loss': '0.9023', 'depth_loss': '0.1863', 'vggt_mse_loss': '0.1853', 'vggt_cos_loss': '0.01027', 'pidinet_loss': '0.1722', 'siglip_loss': '0.3995', 'epoch': '0.24'} + 74%|██████████████████████▏ | 6670/9000 [5:33:35<2:39:43, 4.11s/it][Dataset] cur_step=6671 phase=C_full_covt +[Dataset] cur_step=6671 phase=C_full_covt + 74%|██████████████████████▏ | 6671/9000 [5:33:36<2:35:02, 3.99s/it][Dataset] cur_step=6671 phase=C_full_covt +[Dataset] cur_step=6671 phase=C_full_covt[Dataset] cur_step=6671 phase=C_full_covt + +[Dataset] cur_step=6671 phase=C_full_covt +[Dataset] cur_step=6671 phase=C_full_covt +[Dataset] cur_step=6671 phase=C_full_covt + {'loss': '3.325', 'grad_norm': '1.999', 'learning_rate': '8.609e-06', 'epoch': '0.24'} + 74%|██████████████████████▏ | 6671/9000 [5:33:36<2:35:02, 3.99s/it] {'lm_loss': '0.004961', 'visual_loss': '1.979', 'seg_loss': '0.5406', 'dino_loss': '0.8601', 'depth_loss': '0.1675', 'vggt_mse_loss': '0.1668', 'vggt_cos_loss': '0.007435', 'pidinet_loss': '0.1364', 'siglip_loss': '0.2748', 'epoch': '0.24'} + 74%|██████████████████████▏ | 6671/9000 [5:33:40<2:35:02, 3.99s/it][Dataset] cur_step=6672 phase=C_full_covt + 74%|██████████████████████▏ | 6672/9000 [5:33:40<2:41:34, 4.16s/it][Dataset] cur_step=6672 phase=C_full_covt +[Dataset] cur_step=6672 phase=C_full_covt +[Dataset] cur_step=6672 phase=C_full_covt +[Dataset] cur_step=6672 phase=C_full_covt +[Dataset] cur_step=6672 phase=C_full_covt[Dataset] cur_step=6672 phase=C_full_covt + +[Dataset] cur_step=6672 phase=C_full_covt + {'loss': '2.824', 'grad_norm': '2.108', 'learning_rate': '8.602e-06', 'epoch': '0.24'} + 74%|██████████████████████▏ | 6672/9000 [5:33:40<2:41:34, 4.16s/it] {'lm_loss': '0.6718', 'visual_loss': '2.735', 'seg_loss': '0.7646', 'dino_loss': '0.938', 'depth_loss': '0.2444', 'vggt_mse_loss': '0.2428', 'vggt_cos_loss': '0.01616', 'pidinet_loss': '0.2372', 'siglip_loss': '0.5511', 'epoch': '0.24'} + 74%|██████████████████████▏ | 6672/9000 [5:33:44<2:41:34, 4.16s/it][Dataset] cur_step=6673 phase=C_full_covt +[Dataset] cur_step=6673 phase=C_full_covt[Dataset] cur_step=6673 phase=C_full_covt + +[Dataset] cur_step=6673 phase=C_full_covt + 74%|██████████████████████▏ | 6673/9000 [5:33:45<2:40:59, 4.15s/it][Dataset] cur_step=6673 phase=C_full_covt[Dataset] cur_step=6673 phase=C_full_covt + +[Dataset] cur_step=6673 phase=C_full_covt[Dataset] cur_step=6673 phase=C_full_covt + + {'loss': '3.18', 'grad_norm': '1.607', 'learning_rate': '8.595e-06', 'epoch': '0.2401'} + 74%|██████████████████████▏ | 6673/9000 [5:33:45<2:40:59, 4.15s/it] {'lm_loss': '0.5524', 'visual_loss': '2.489', 'seg_loss': '0.538', 'dino_loss': '0.9216', 'depth_loss': '0.2608', 'vggt_mse_loss': '0.2589', 'vggt_cos_loss': '0.01963', 'pidinet_loss': '0.2529', 'siglip_loss': '0.5152', 'epoch': '0.2401'} + 74%|██████████████████████▏ | 6673/9000 [5:33:48<2:40:59, 4.15s/it][Dataset] cur_step=6674 phase=C_full_covt +[Dataset] cur_step=6674 phase=C_full_covt + 74%|██████████████████████▏ | 6674/9000 [5:33:49<2:41:11, 4.16s/it][Dataset] cur_step=6674 phase=C_full_covt[Dataset] cur_step=6674 phase=C_full_covt + +[Dataset] cur_step=6674 phase=C_full_covt +[Dataset] cur_step=6674 phase=C_full_covt +[Dataset] cur_step=6674 phase=C_full_covt +[Dataset] cur_step=6674 phase=C_full_covt + {'loss': '3.195', 'grad_norm': '3.947', 'learning_rate': '8.588e-06', 'epoch': '0.2401'} + 74%|██████████████████████▏ | 6674/9000 [5:33:49<2:41:11, 4.16s/it] {'lm_loss': '0.2382', 'visual_loss': '2.645', 'seg_loss': '0.7316', 'dino_loss': '0.916', 'depth_loss': '0.2992', 'vggt_mse_loss': '0.2969', 'vggt_cos_loss': '0.02317', 'pidinet_loss': '0.2204', 'siglip_loss': '0.478', 'epoch': '0.2401'} + 74%|██████████████████████▏ | 6674/9000 [5:33:52<2:41:11, 4.16s/it][Dataset] cur_step=6675 phase=C_full_covt +[Dataset] cur_step=6675 phase=C_full_covt +[Dataset] cur_step=6675 phase=C_full_covt + 74%|██████████████████████▎ | 6675/9000 [5:33:55<3:07:45, 4.85s/it][Dataset] cur_step=6675 phase=C_full_covt +[Dataset] cur_step=6675 phase=C_full_covt +[Dataset] cur_step=6675 phase=C_full_covt +[Dataset] cur_step=6675 phase=C_full_covt +[Dataset] cur_step=6675 phase=C_full_covt + {'loss': '2.955', 'grad_norm': '2.09', 'learning_rate': '8.581e-06', 'epoch': '0.2401'} + 74%|██████████████████████▎ | 6675/9000 [5:33:55<3:07:45, 4.85s/it] {'lm_loss': '1.033', 'visual_loss': '2.616', 'seg_loss': '0.7418', 'dino_loss': '0.9157', 'depth_loss': '0.1824', 'vggt_mse_loss': '0.1811', 'vggt_cos_loss': '0.01236', 'pidinet_loss': '0.2242', 'siglip_loss': '0.5518', 'epoch': '0.2401'} + 74%|██████████████████████▎ | 6675/9000 [5:33:58<3:07:45, 4.85s/it][Dataset] cur_step=6676 phase=C_full_covt +[Dataset] cur_step=6676 phase=C_full_covt +[Dataset] cur_step=6676 phase=C_full_covt +[Dataset] cur_step=6676 phase=C_full_covt +[Dataset] cur_step=6676 phase=C_full_covt +[Dataset] cur_step=6676 phase=C_full_covt 74%|██████████████████████▎ | 6676/9000 [5:33:59<3:00:18, 4.66s/it] +[Dataset] cur_step=6676 phase=C_full_covt +[Dataset] cur_step=6676 phase=C_full_covt + {'loss': '3.149', 'grad_norm': '1.752', 'learning_rate': '8.574e-06', 'epoch': '0.2402'} + 74%|██████████████████████▎ | 6676/9000 [5:33:59<3:00:18, 4.66s/it] {'lm_loss': '0.9311', 'visual_loss': '3.099', 'seg_loss': '0.7122', 'dino_loss': '0.9233', 'depth_loss': '0.5716', 'vggt_mse_loss': '0.5672', 'vggt_cos_loss': '0.04417', 'pidinet_loss': '0.2438', 'siglip_loss': '0.648', 'epoch': '0.2402'} + 74%|██████████████████████▎ | 6676/9000 [5:34:02<3:00:18, 4.66s/it][Dataset] cur_step=6677 phase=C_full_covt[Dataset] cur_step=6677 phase=C_full_covt + +[Dataset] cur_step=6677 phase=C_full_covt +[Dataset] cur_step=6677 phase=C_full_covt +[Dataset] cur_step=6677 phase=C_full_covt +[Dataset] cur_step=6677 phase=C_full_covt + 74%|██████████████████████▎ | 6677/9000 [5:34:03<2:48:47, 4.36s/it][Dataset] cur_step=6677 phase=C_full_covt +[Dataset] cur_step=6677 phase=C_full_covt + {'loss': '3.137', 'grad_norm': '2.549', 'learning_rate': '8.567e-06', 'epoch': '0.2402'} + 74%|██████████████████████▎ | 6677/9000 [5:34:03<2:48:47, 4.36s/it] {'lm_loss': '0.3333', 'visual_loss': '2.889', 'seg_loss': '0.7287', 'dino_loss': '0.9288', 'depth_loss': '0.3685', 'vggt_mse_loss': '0.3664', 'vggt_cos_loss': '0.021', 'pidinet_loss': '0.2464', 'siglip_loss': '0.6161', 'epoch': '0.2402'} + 74%|██████████████████████▎ | 6677/9000 [5:34:07<2:48:47, 4.36s/it][Dataset] cur_step=6678 phase=C_full_covt +[Dataset] cur_step=6678 phase=C_full_covt + 74%|██████████████████████▎ | 6678/9000 [5:34:07<2:43:03, 4.21s/it][Dataset] cur_step=6678 phase=C_full_covt +[Dataset] cur_step=6678 phase=C_full_covt +[Dataset] cur_step=6678 phase=C_full_covt +[Dataset] cur_step=6678 phase=C_full_covt[Dataset] cur_step=6678 phase=C_full_covt + +[Dataset] cur_step=6678 phase=C_full_covt + {'loss': '3.128', 'grad_norm': '2.569', 'learning_rate': '8.56e-06', 'epoch': '0.2402'} + 74%|██████████████████████▎ | 6678/9000 [5:34:07<2:43:03, 4.21s/it] {'lm_loss': '0.674', 'visual_loss': '2.787', 'seg_loss': '0.7567', 'dino_loss': '0.9057', 'depth_loss': '0.2285', 'vggt_mse_loss': '0.2269', 'vggt_cos_loss': '0.01596', 'pidinet_loss': '0.2087', 'siglip_loss': '0.6875', 'epoch': '0.2402'} + 74%|██████████████████████▎ | 6678/9000 [5:34:10<2:43:03, 4.21s/it][Dataset] cur_step=6679 phase=C_full_covt +[Dataset] cur_step=6679 phase=C_full_covt[Dataset] cur_step=6679 phase=C_full_covt + + 74%|██████████████████████▎ | 6679/9000 [5:34:11<2:40:01, 4.14s/it][Dataset] cur_step=6679 phase=C_full_covt +[Dataset] cur_step=6679 phase=C_full_covt +[Dataset] cur_step=6679 phase=C_full_covt +[Dataset] cur_step=6679 phase=C_full_covt +[Dataset] cur_step=6679 phase=C_full_covt + {'loss': '3.165', 'grad_norm': '2.042', 'learning_rate': '8.554e-06', 'epoch': '0.2403'} + 74%|██████████████████████▎ | 6679/9000 [5:34:11<2:40:01, 4.14s/it] {'lm_loss': '0.001915', 'visual_loss': '2.258', 'seg_loss': '0.6442', 'dino_loss': '0.8921', 'depth_loss': '0.1635', 'vggt_mse_loss': '0.1626', 'vggt_cos_loss': '0.008937', 'pidinet_loss': '0.1502', 'siglip_loss': '0.4081', 'epoch': '0.2403'} + 74%|██████████████████████▎ | 6679/9000 [5:34:15<2:40:01, 4.14s/it][Dataset] cur_step=6680 phase=C_full_covt +[Dataset] cur_step=6680 phase=C_full_covt +[Dataset] cur_step=6680 phase=C_full_covt + 74%|██████████████████████▎ | 6680/9000 [5:34:15<2:39:57, 4.14s/it][Dataset] cur_step=6680 phase=C_full_covt +[Dataset] cur_step=6680 phase=C_full_covt[Dataset] cur_step=6680 phase=C_full_covt + +[Dataset] cur_step=6680 phase=C_full_covt +[Dataset] cur_step=6680 phase=C_full_covt + {'loss': '3.15', 'grad_norm': '2.87', 'learning_rate': '8.547e-06', 'epoch': '0.2403'} + 74%|██████████████████████▎ | 6680/9000 [5:34:15<2:39:57, 4.14s/it] {'lm_loss': '0.3991', 'visual_loss': '2.394', 'seg_loss': '0.6405', 'dino_loss': '0.8753', 'depth_loss': '0.2042', 'vggt_mse_loss': '0.2028', 'vggt_cos_loss': '0.01345', 'pidinet_loss': '0.2479', 'siglip_loss': '0.4264', 'epoch': '0.2403'} + 74%|██████████████████████▎ | 6680/9000 [5:34:18<2:39:57, 4.14s/it][Dataset] cur_step=6681 phase=C_full_covt +[Dataset] cur_step=6681 phase=C_full_covt +[Dataset] cur_step=6681 phase=C_full_covt +[Dataset] cur_step=6681 phase=C_full_covt +[Dataset] cur_step=6681 phase=C_full_covt + 74%|██████████████████████▎ | 6681/9000 [5:34:19<2:37:16, 4.07s/it][Dataset] cur_step=6681 phase=C_full_covt +[Dataset] cur_step=6681 phase=C_full_covt[Dataset] cur_step=6681 phase=C_full_covt + + {'loss': '3.234', 'grad_norm': '2.177', 'learning_rate': '8.54e-06', 'epoch': '0.2403'} + 74%|██████████████████████▎ | 6681/9000 [5:34:19<2:37:16, 4.07s/it] {'lm_loss': '0.414', 'visual_loss': '2.619', 'seg_loss': '0.6559', 'dino_loss': '0.9134', 'depth_loss': '0.2303', 'vggt_mse_loss': '0.2287', 'vggt_cos_loss': '0.01539', 'pidinet_loss': '0.211', 'siglip_loss': '0.6088', 'epoch': '0.2403'} + 74%|██████████████████████▎ | 6681/9000 [5:34:22<2:37:16, 4.07s/it][Dataset] cur_step=6682 phase=C_full_covt +[Dataset] cur_step=6682 phase=C_full_covt +[Dataset] cur_step=6682 phase=C_full_covt +[Dataset] cur_step=6682 phase=C_full_covt[Dataset] cur_step=6682 phase=C_full_covt + 74%|██████████████████████▎ | 6682/9000 [5:34:25<3:01:06, 4.69s/it] +[Dataset] cur_step=6682 phase=C_full_covt +[Dataset] cur_step=6682 phase=C_full_covt +[Dataset] cur_step=6682 phase=C_full_covt + {'loss': '3.212', 'grad_norm': '2.171', 'learning_rate': '8.533e-06', 'epoch': '0.2404'} + 74%|██████████████████████▎ | 6682/9000 [5:34:25<3:01:06, 4.69s/it] {'lm_loss': '0.67', 'visual_loss': '2.94', 'seg_loss': '0.7628', 'dino_loss': '0.8956', 'depth_loss': '0.2457', 'vggt_mse_loss': '0.244', 'vggt_cos_loss': '0.01747', 'pidinet_loss': '0.286', 'siglip_loss': '0.7496', 'epoch': '0.2404'} + 74%|██████████████████████▎ | 6682/9000 [5:34:28<3:01:06, 4.69s/it][Dataset] cur_step=6683 phase=C_full_covt[Dataset] cur_step=6683 phase=C_full_covt +[Dataset] cur_step=6683 phase=C_full_covt + + 74%|██████████████████████▎ | 6683/9000 [5:34:30<3:01:22, 4.70s/it][Dataset] cur_step=6683 phase=C_full_covt +[Dataset] cur_step=6683 phase=C_full_covt +[Dataset] cur_step=6683 phase=C_full_covt +[Dataset] cur_step=6683 phase=C_full_covt +[Dataset] cur_step=6683 phase=C_full_covt + {'loss': '3.087', 'grad_norm': '2.42', 'learning_rate': '8.526e-06', 'epoch': '0.2404'} + 74%|██████████████████████▎ | 6683/9000 [5:34:30<3:01:22, 4.70s/it] {'lm_loss': '0.0142', 'visual_loss': '2.74', 'seg_loss': '0.768', 'dino_loss': '0.9391', 'depth_loss': '0.3109', 'vggt_mse_loss': '0.3087', 'vggt_cos_loss': '0.02208', 'pidinet_loss': '0.2639', 'siglip_loss': '0.4581', 'epoch': '0.2404'} + 74%|██████████████████████▎ | 6683/9000 [5:34:33<3:01:22, 4.70s/it][Dataset] cur_step=6684 phase=C_full_covt +[Dataset] cur_step=6684 phase=C_full_covt +[Dataset] cur_step=6684 phase=C_full_covt[Dataset] cur_step=6684 phase=C_full_covt + +[Dataset] cur_step=6684 phase=C_full_covt + 74%|██████████████████████▎ | 6684/9000 [5:34:34<2:56:50, 4.58s/it][Dataset] cur_step=6684 phase=C_full_covt +[Dataset] cur_step=6684 phase=C_full_covt +[Dataset] cur_step=6684 phase=C_full_covt + {'loss': '2.801', 'grad_norm': '1.968', 'learning_rate': '8.519e-06', 'epoch': '0.2405'} + 74%|██████████████████████▎ | 6684/9000 [5:34:34<2:56:50, 4.58s/it] {'lm_loss': '0.1971', 'visual_loss': '2.558', 'seg_loss': '0.6751', 'dino_loss': '0.9005', 'depth_loss': '0.1591', 'vggt_mse_loss': '0.1582', 'vggt_cos_loss': '0.00922', 'pidinet_loss': '0.2192', 'siglip_loss': '0.6045', 'epoch': '0.2405'} + 74%|██████████████████████▎ | 6684/9000 [5:34:38<2:56:50, 4.58s/it][Dataset] cur_step=6685 phase=C_full_covt +[Dataset] cur_step=6685 phase=C_full_covt 74%|██████████████████████▎ | 6685/9000 [5:34:38<2:48:02, 4.36s/it][Dataset] cur_step=6685 phase=C_full_covt + +[Dataset] cur_step=6685 phase=C_full_covt +[Dataset] cur_step=6685 phase=C_full_covt +[Dataset] cur_step=6685 phase=C_full_covt +[Dataset] cur_step=6685 phase=C_full_covt +[Dataset] cur_step=6685 phase=C_full_covt + {'loss': '3.113', 'grad_norm': '5.747', 'learning_rate': '8.512e-06', 'epoch': '0.2405'} + 74%|██████████████████████▎ | 6685/9000 [5:34:38<2:48:02, 4.36s/it] {'lm_loss': '0.5537', 'visual_loss': '2.45', 'seg_loss': '0.5691', 'dino_loss': '0.881', 'depth_loss': '0.2609', 'vggt_mse_loss': '0.2589', 'vggt_cos_loss': '0.02001', 'pidinet_loss': '0.1608', 'siglip_loss': '0.5786', 'epoch': '0.2405'} + 74%|██████████████████████▎ | 6685/9000 [5:34:41<2:48:02, 4.36s/it][Dataset] cur_step=6686 phase=C_full_covt +[Dataset] cur_step=6686 phase=C_full_covt[Dataset] cur_step=6686 phase=C_full_covt + +[Dataset] cur_step=6686 phase=C_full_covt + 74%|██████████████████████▎ | 6686/9000 [5:34:42<2:42:35, 4.22s/it][Dataset] cur_step=6686 phase=C_full_covt +[Dataset] cur_step=6686 phase=C_full_covt +[Dataset] cur_step=6686 phase=C_full_covt[Dataset] cur_step=6686 phase=C_full_covt + + {'loss': '3.139', 'grad_norm': '2.56', 'learning_rate': '8.505e-06', 'epoch': '0.2405'} + 74%|██████████████████████▎ | 6686/9000 [5:34:42<2:42:35, 4.22s/it] {'lm_loss': '0.3765', 'visual_loss': '2.569', 'seg_loss': '0.6553', 'dino_loss': '0.9273', 'depth_loss': '0.2588', 'vggt_mse_loss': '0.2571', 'vggt_cos_loss': '0.01713', 'pidinet_loss': '0.2009', 'siglip_loss': '0.5268', 'epoch': '0.2405'} + 74%|██████████████████████▎ | 6686/9000 [5:34:45<2:42:35, 4.22s/it][Dataset] cur_step=6687 phase=C_full_covt +[Dataset] cur_step=6687 phase=C_full_covt +[Dataset] cur_step=6687 phase=C_full_covt +[Dataset] cur_step=6687 phase=C_full_covt[Dataset] cur_step=6687 phase=C_full_covt + +[Dataset] cur_step=6687 phase=C_full_covt 74%|██████████████████████▎ | 6687/9000 [5:34:46<2:40:36, 4.17s/it] +[Dataset] cur_step=6687 phase=C_full_covt +[Dataset] cur_step=6687 phase=C_full_covt + {'loss': '3.14', 'grad_norm': '34.26', 'learning_rate': '8.498e-06', 'epoch': '0.2406'} + 74%|██████████████████████▎ | 6687/9000 [5:34:46<2:40:36, 4.17s/it] {'lm_loss': '0.3014', 'visual_loss': '2.355', 'seg_loss': '0.6132', 'dino_loss': '0.9015', 'depth_loss': '0.2206', 'vggt_mse_loss': '0.219', 'vggt_cos_loss': '0.01535', 'pidinet_loss': '0.1691', 'siglip_loss': '0.4503', 'epoch': '0.2406'} + 74%|██████████████████████▎ | 6687/9000 [5:34:49<2:40:36, 4.17s/it][Dataset] cur_step=6688 phase=C_full_covt +[Dataset] cur_step=6688 phase=C_full_covt +[Dataset] cur_step=6688 phase=C_full_covt +[Dataset] cur_step=6688 phase=C_full_covt + 74%|██████████████████████▎ | 6688/9000 [5:34:50<2:38:19, 4.11s/it][Dataset] cur_step=6688 phase=C_full_covt +[Dataset] cur_step=6688 phase=C_full_covt +[Dataset] cur_step=6688 phase=C_full_covt[Dataset] cur_step=6688 phase=C_full_covt + + {'loss': '3.324', 'grad_norm': '4.817', 'learning_rate': '8.491e-06', 'epoch': '0.2406'} + 74%|██████████████████████▎ | 6688/9000 [5:34:50<2:38:19, 4.11s/it] {'lm_loss': '0.8169', 'visual_loss': '2.441', 'seg_loss': '0.6323', 'dino_loss': '0.8866', 'depth_loss': '0.2211', 'vggt_mse_loss': '0.2197', 'vggt_cos_loss': '0.01385', 'pidinet_loss': '0.2165', 'siglip_loss': '0.4849', 'epoch': '0.2406'} + 74%|██████████████████████▎ | 6688/9000 [5:34:53<2:38:19, 4.11s/it][Dataset] cur_step=6689 phase=C_full_covt +[Dataset] cur_step=6689 phase=C_full_covt +[Dataset] cur_step=6689 phase=C_full_covt[Dataset] cur_step=6689 phase=C_full_covt + +[Dataset] cur_step=6689 phase=C_full_covt 74%|██████████████████████▎ | 6689/9000 [5:34:56<3:01:34, 4.71s/it] +[Dataset] cur_step=6689 phase=C_full_covt[Dataset] cur_step=6689 phase=C_full_covt + +[Dataset] cur_step=6689 phase=C_full_covt + {'loss': '3.122', 'grad_norm': '10.14', 'learning_rate': '8.484e-06', 'epoch': '0.2406'} + 74%|██████████████████████▎ | 6689/9000 [5:34:56<3:01:34, 4.71s/it] {'lm_loss': '0.6212', 'visual_loss': '2.715', 'seg_loss': '0.602', 'dino_loss': '0.9234', 'depth_loss': '0.2616', 'vggt_mse_loss': '0.2595', 'vggt_cos_loss': '0.02106', 'pidinet_loss': '0.2087', 'siglip_loss': '0.719', 'epoch': '0.2406'} + 74%|██████████████████████▎ | 6689/9000 [5:34:59<3:01:34, 4.71s/it][Dataset] cur_step=6690 phase=C_full_covt +[Dataset] cur_step=6690 phase=C_full_covt + 74%|██████████████████████▎ | 6690/9000 [5:35:00<2:56:19, 4.58s/it][Dataset] cur_step=6690 phase=C_full_covt +[Dataset] cur_step=6690 phase=C_full_covt +[Dataset] cur_step=6690 phase=C_full_covt +[Dataset] cur_step=6690 phase=C_full_covt +[Dataset] cur_step=6690 phase=C_full_covt +[Dataset] cur_step=6690 phase=C_full_covt + {'loss': '3.436', 'grad_norm': '11.26', 'learning_rate': '8.478e-06', 'epoch': '0.2407'} + 74%|██████████████████████▎ | 6690/9000 [5:35:00<2:56:19, 4.58s/it] {'lm_loss': '0.5604', 'visual_loss': '2.678', 'seg_loss': '0.6028', 'dino_loss': '0.9278', 'depth_loss': '0.2288', 'vggt_mse_loss': '0.227', 'vggt_cos_loss': '0.0174', 'pidinet_loss': '0.1921', 'siglip_loss': '0.7268', 'epoch': '0.2407'} + 74%|██████████████████████▎ | 6690/9000 [5:35:06<2:56:19, 4.58s/it][Dataset] cur_step=6691 phase=C_full_covt + 74%|██████████████████████▎ | 6691/9000 [5:35:06<3:14:21, 5.05s/it][Dataset] cur_step=6691 phase=C_full_covt +[Dataset] cur_step=6691 phase=C_full_covt +[Dataset] cur_step=6691 phase=C_full_covt[Dataset] cur_step=6691 phase=C_full_covt + +[Dataset] cur_step=6691 phase=C_full_covt +[Dataset] cur_step=6691 phase=C_full_covt +[Dataset] cur_step=6691 phase=C_full_covt + {'loss': '3.102', 'grad_norm': '2.031', 'learning_rate': '8.471e-06', 'epoch': '0.2407'} + 74%|██████████████████████▎ | 6691/9000 [5:35:06<3:14:21, 5.05s/it] {'lm_loss': '0.01701', 'visual_loss': '2.389', 'seg_loss': '0.6681', 'dino_loss': '0.9006', 'depth_loss': '0.2755', 'vggt_mse_loss': '0.2733', 'vggt_cos_loss': '0.02165', 'pidinet_loss': '0.1985', 'siglip_loss': '0.3466', 'epoch': '0.2407'} + 74%|██████████████████████▎ | 6691/9000 [5:35:09<3:14:21, 5.05s/it][Dataset] cur_step=6692 phase=C_full_covt +[Dataset] cur_step=6692 phase=C_full_covt +[Dataset] cur_step=6692 phase=C_full_covt[Dataset] cur_step=6692 phase=C_full_covt + +[Dataset] cur_step=6692 phase=C_full_covt +[Dataset] cur_step=6692 phase=C_full_covt +[Dataset] cur_step=6692 phase=C_full_covt + 74%|██████████████████████▎ | 6692/9000 [5:35:10<2:59:50, 4.68s/it][Dataset] cur_step=6692 phase=C_full_covt + {'loss': '3.03', 'grad_norm': '2.245', 'learning_rate': '8.464e-06', 'epoch': '0.2407'} + 74%|██████████████████████▎ | 6692/9000 [5:35:10<2:59:50, 4.68s/it] {'lm_loss': '0.007153', 'visual_loss': '2.579', 'seg_loss': '0.6853', 'dino_loss': '0.9115', 'depth_loss': '0.2478', 'vggt_mse_loss': '0.2464', 'vggt_cos_loss': '0.01388', 'pidinet_loss': '0.2145', 'siglip_loss': '0.5203', 'epoch': '0.2407'} + 74%|██████████████████████▎ | 6692/9000 [5:35:14<2:59:50, 4.68s/it][Dataset] cur_step=6693 phase=C_full_covt[Dataset] cur_step=6693 phase=C_full_covt + + 74%|██████████████████████▎ | 6693/9000 [5:35:14<2:53:56, 4.52s/it][Dataset] cur_step=6693 phase=C_full_covt +[Dataset] cur_step=6693 phase=C_full_covt +[Dataset] cur_step=6693 phase=C_full_covt +[Dataset] cur_step=6693 phase=C_full_covt[Dataset] cur_step=6693 phase=C_full_covt + +[Dataset] cur_step=6693 phase=C_full_covt + {'loss': '2.954', 'grad_norm': '1.868', 'learning_rate': '8.457e-06', 'epoch': '0.2408'} + 74%|██████████████████████▎ | 6693/9000 [5:35:14<2:53:56, 4.52s/it] {'lm_loss': '0.4177', 'visual_loss': '2.729', 'seg_loss': '0.7518', 'dino_loss': '0.894', 'depth_loss': '0.203', 'vggt_mse_loss': '0.2015', 'vggt_cos_loss': '0.01506', 'pidinet_loss': '0.234', 'siglip_loss': '0.6458', 'epoch': '0.2408'} + 74%|██████████████████████▎ | 6693/9000 [5:35:17<2:53:56, 4.52s/it][Dataset] cur_step=6694 phase=C_full_covt +[Dataset] cur_step=6694 phase=C_full_covt[Dataset] cur_step=6694 phase=C_full_covt +[Dataset] cur_step=6694 phase=C_full_covt + +[Dataset] cur_step=6694 phase=C_full_covt + 74%|██████████████████████▎ | 6694/9000 [5:35:18<2:44:31, 4.28s/it][Dataset] cur_step=6694 phase=C_full_covt[Dataset] cur_step=6694 phase=C_full_covt + +[Dataset] cur_step=6694 phase=C_full_covt + {'loss': '3.047', 'grad_norm': '1.919', 'learning_rate': '8.45e-06', 'epoch': '0.2408'} + 74%|██████████████████████▎ | 6694/9000 [5:35:18<2:44:31, 4.28s/it] {'lm_loss': '0.2931', 'visual_loss': '2.706', 'seg_loss': '0.7865', 'dino_loss': '0.9074', 'depth_loss': '0.2358', 'vggt_mse_loss': '0.2342', 'vggt_cos_loss': '0.01585', 'pidinet_loss': '0.2707', 'siglip_loss': '0.5057', 'epoch': '0.2408'} + 74%|██████████████████████▎ | 6694/9000 [5:35:21<2:44:31, 4.28s/it][Dataset] cur_step=6695 phase=C_full_covt +[Dataset] cur_step=6695 phase=C_full_covt +[Dataset] cur_step=6695 phase=C_full_covt +[Dataset] cur_step=6695 phase=C_full_covt 74%|██████████████████████▎ | 6695/9000 [5:35:22<2:42:37, 4.23s/it] +[Dataset] cur_step=6695 phase=C_full_covt +[Dataset] cur_step=6695 phase=C_full_covt[Dataset] cur_step=6695 phase=C_full_covt[Dataset] cur_step=6695 phase=C_full_covt + + + {'loss': '3.007', 'grad_norm': '3.909', 'learning_rate': '8.443e-06', 'epoch': '0.2409'} + 74%|██████████████████████▎ | 6695/9000 [5:35:22<2:42:37, 4.23s/it] {'lm_loss': '0.4098', 'visual_loss': '2.777', 'seg_loss': '0.7891', 'dino_loss': '0.9189', 'depth_loss': '0.2531', 'vggt_mse_loss': '0.2512', 'vggt_cos_loss': '0.01848', 'pidinet_loss': '0.2644', 'siglip_loss': '0.5518', 'epoch': '0.2409'} + 74%|██████████████████████▎ | 6695/9000 [5:35:25<2:42:37, 4.23s/it][Dataset] cur_step=6696 phase=C_full_covt +[Dataset] cur_step=6696 phase=C_full_covt +[Dataset] cur_step=6696 phase=C_full_covt +[Dataset] cur_step=6696 phase=C_full_covt +[Dataset] cur_step=6696 phase=C_full_covt + 74%|██████████████████████▎ | 6696/9000 [5:35:26<2:37:23, 4.10s/it][Dataset] cur_step=6696 phase=C_full_covt[Dataset] cur_step=6696 phase=C_full_covt + +[Dataset] cur_step=6696 phase=C_full_covt + {'loss': '2.989', 'grad_norm': '1.708', 'learning_rate': '8.436e-06', 'epoch': '0.2409'} + 74%|██████████████████████▎ | 6696/9000 [5:35:26<2:37:23, 4.10s/it] {'lm_loss': '0.5316', 'visual_loss': '2.455', 'seg_loss': '0.7385', 'dino_loss': '0.8991', 'depth_loss': '0.2042', 'vggt_mse_loss': '0.2027', 'vggt_cos_loss': '0.01544', 'pidinet_loss': '0.155', 'siglip_loss': '0.4581', 'epoch': '0.2409'} + 74%|██████████████████████▎ | 6696/9000 [5:35:29<2:37:23, 4.10s/it][Dataset] cur_step=6697 phase=C_full_covt +[Dataset] cur_step=6697 phase=C_full_covt[Dataset] cur_step=6697 phase=C_full_covt + + 74%|██████████████████████▎ | 6697/9000 [5:35:32<2:58:55, 4.66s/it][Dataset] cur_step=6697 phase=C_full_covt +[Dataset] cur_step=6697 phase=C_full_covt +[Dataset] cur_step=6697 phase=C_full_covt +[Dataset] cur_step=6697 phase=C_full_covt +[Dataset] cur_step=6697 phase=C_full_covt + {'loss': '2.994', 'grad_norm': '2.767', 'learning_rate': '8.429e-06', 'epoch': '0.2409'} + 74%|██████████████████████▎ | 6697/9000 [5:35:32<2:58:55, 4.66s/it] {'lm_loss': '0.4303', 'visual_loss': '2.655', 'seg_loss': '0.6943', 'dino_loss': '0.9185', 'depth_loss': '0.214', 'vggt_mse_loss': '0.2128', 'vggt_cos_loss': '0.01182', 'pidinet_loss': '0.2635', 'siglip_loss': '0.5642', 'epoch': '0.2409'} + 74%|██████████████████████▎ | 6697/9000 [5:35:35<2:58:55, 4.66s/it][Dataset] cur_step=6698 phase=C_full_covt +[Dataset] cur_step=6698 phase=C_full_covt +[Dataset] cur_step=6698 phase=C_full_covt +[Dataset] cur_step=6698 phase=C_full_covt +[Dataset] cur_step=6698 phase=C_full_covt[Dataset] cur_step=6698 phase=C_full_covt + + 74%|██████████████████████▎ | 6698/9000 [5:35:36<2:51:13, 4.46s/it][Dataset] cur_step=6698 phase=C_full_covt +[Dataset] cur_step=6698 phase=C_full_covt + {'loss': '3.05', 'grad_norm': '2.239', 'learning_rate': '8.422e-06', 'epoch': '0.241'} + 74%|██████████████████████▎ | 6698/9000 [5:35:36<2:51:13, 4.46s/it] {'lm_loss': '0.2358', 'visual_loss': '2.816', 'seg_loss': '0.7685', 'dino_loss': '0.929', 'depth_loss': '0.2849', 'vggt_mse_loss': '0.2826', 'vggt_cos_loss': '0.02279', 'pidinet_loss': '0.2638', 'siglip_loss': '0.5694', 'epoch': '0.241'} + 74%|██████████████████████▎ | 6698/9000 [5:35:39<2:51:13, 4.46s/it][Dataset] cur_step=6699 phase=C_full_covt +[Dataset] cur_step=6699 phase=C_full_covt +[Dataset] cur_step=6699 phase=C_full_covt[Dataset] cur_step=6699 phase=C_full_covt + + 74%|██████████████████████▎ | 6699/9000 [5:35:40<2:44:49, 4.30s/it][Dataset] cur_step=6699 phase=C_full_covt +[Dataset] cur_step=6699 phase=C_full_covt[Dataset] cur_step=6699 phase=C_full_covt + +[Dataset] cur_step=6699 phase=C_full_covt + {'loss': '3.097', 'grad_norm': '4.274', 'learning_rate': '8.416e-06', 'epoch': '0.241'} + 74%|██████████████████████▎ | 6699/9000 [5:35:40<2:44:49, 4.30s/it] {'lm_loss': '0.07919', 'visual_loss': '2.463', 'seg_loss': '0.5606', 'dino_loss': '0.9026', 'depth_loss': '0.2141', 'vggt_mse_loss': '0.2126', 'vggt_cos_loss': '0.01465', 'pidinet_loss': '0.2084', 'siglip_loss': '0.5771', 'epoch': '0.241'} + 74%|██████████████████████▎ | 6699/9000 [5:35:44<2:44:49, 4.30s/it][Dataset] cur_step=6700 phase=C_full_covt +[Dataset] cur_step=6700 phase=C_full_covt +[Dataset] cur_step=6700 phase=C_full_covt +[Dataset] cur_step=6700 phase=C_full_covt +[Dataset] cur_step=6700 phase=C_full_covt 74%|██████████████████████▎ | 6700/9000 [5:35:46<3:08:59, 4.93s/it] +[Dataset] cur_step=6700 phase=C_full_covt +[Dataset] cur_step=6700 phase=C_full_covt +[Dataset] cur_step=6700 phase=C_full_covt + {'loss': '3.001', 'grad_norm': '2.087', 'learning_rate': '8.409e-06', 'epoch': '0.241'} + 74%|██████████████████████▎ | 6700/9000 [5:35:46<3:08:59, 4.93s/it] {'lm_loss': '1.044', 'visual_loss': '2.769', 'seg_loss': '0.689', 'dino_loss': '0.8829', 'depth_loss': '0.1611', 'vggt_mse_loss': '0.1601', 'vggt_cos_loss': '0.01005', 'pidinet_loss': '0.2677', 'siglip_loss': '0.7684', 'epoch': '0.241'} + 74%|██████████████████████▎ | 6700/9000 [5:35:50<3:08:59, 4.93s/it][Dataset] cur_step=6701 phase=C_full_covt +[Dataset] cur_step=6701 phase=C_full_covt +[Dataset] cur_step=6701 phase=C_full_covt +[Dataset] cur_step=6701 phase=C_full_covt[Dataset] cur_step=6701 phase=C_full_covt + 74%|██████████████████████▎ | 6701/9000 [5:35:51<3:07:30, 4.89s/it] +[Dataset] cur_step=6701 phase=C_full_covt +[Dataset] cur_step=6701 phase=C_full_covt +[Dataset] cur_step=6701 phase=C_full_covt + {'loss': '3.393', 'grad_norm': '2.003', 'learning_rate': '8.402e-06', 'epoch': '0.2411'} + 74%|██████████████████████▎ | 6701/9000 [5:35:51<3:07:30, 4.89s/it] {'lm_loss': '0.4698', 'visual_loss': '2.411', 'seg_loss': '0.6238', 'dino_loss': '0.9185', 'depth_loss': '0.2158', 'vggt_mse_loss': '0.2142', 'vggt_cos_loss': '0.01624', 'pidinet_loss': '0.2278', 'siglip_loss': '0.4254', 'epoch': '0.2411'} + 74%|██████████████████████▎ | 6701/9000 [5:35:54<3:07:30, 4.89s/it][Dataset] cur_step=6702 phase=C_full_covt +[Dataset] cur_step=6702 phase=C_full_covt +[Dataset] cur_step=6702 phase=C_full_covt +[Dataset] cur_step=6702 phase=C_full_covt +[Dataset] cur_step=6702 phase=C_full_covt +[Dataset] cur_step=6702 phase=C_full_covt +[Dataset] cur_step=6702 phase=C_full_covt 74%|██████████████████████▎ | 6702/9000 [5:35:55<2:59:01, 4.67s/it] +[Dataset] cur_step=6702 phase=C_full_covt + {'loss': '3.185', 'grad_norm': '1.886', 'learning_rate': '8.395e-06', 'epoch': '0.2411'} + 74%|██████████████████████▎ | 6702/9000 [5:35:55<2:59:01, 4.67s/it] {'lm_loss': '0.2607', 'visual_loss': '2.551', 'seg_loss': '0.7467', 'dino_loss': '0.9186', 'depth_loss': '0.2616', 'vggt_mse_loss': '0.2596', 'vggt_cos_loss': '0.02027', 'pidinet_loss': '0.1995', 'siglip_loss': '0.425', 'epoch': '0.2411'} + 74%|██████████████████████▎ | 6702/9000 [5:35:58<2:59:01, 4.67s/it][Dataset] cur_step=6703 phase=C_full_covt +[Dataset] cur_step=6703 phase=C_full_covt +[Dataset] cur_step=6703 phase=C_full_covt[Dataset] cur_step=6703 phase=C_full_covt + +[Dataset] cur_step=6703 phase=C_full_covt[Dataset] cur_step=6703 phase=C_full_covt + +[Dataset] cur_step=6703 phase=C_full_covt + 74%|██████████████████████▎ | 6703/9000 [5:35:59<2:52:10, 4.50s/it][Dataset] cur_step=6703 phase=C_full_covt + {'loss': '3.14', 'grad_norm': '5.731', 'learning_rate': '8.388e-06', 'epoch': '0.2411'} + 74%|██████████████████████▎ | 6703/9000 [5:35:59<2:52:10, 4.50s/it] {'lm_loss': '0.004138', 'visual_loss': '2.167', 'seg_loss': '0.6105', 'dino_loss': '0.8838', 'depth_loss': '0.262', 'vggt_mse_loss': '0.2607', 'vggt_cos_loss': '0.01296', 'pidinet_loss': '0.1722', 'siglip_loss': '0.2389', 'epoch': '0.2411'} + 74%|██████████████████████▎ | 6703/9000 [5:36:03<2:52:10, 4.50s/it][Dataset] cur_step=6704 phase=C_full_covt[Dataset] cur_step=6704 phase=C_full_covt + +[Dataset] cur_step=6704 phase=C_full_covt +[Dataset] cur_step=6704 phase=C_full_covt +[Dataset] cur_step=6704 phase=C_full_covt 74%|██████████████████████▎ | 6704/9000 [5:36:03<2:44:53, 4.31s/it] +[Dataset] cur_step=6704 phase=C_full_covt +[Dataset] cur_step=6704 phase=C_full_covt +[Dataset] cur_step=6704 phase=C_full_covt + {'loss': '3.122', 'grad_norm': '1.89', 'learning_rate': '8.381e-06', 'epoch': '0.2412'} + 74%|██████████████████████▎ | 6704/9000 [5:36:03<2:44:53, 4.31s/it] {'lm_loss': '0.4059', 'visual_loss': '2.666', 'seg_loss': '0.7244', 'dino_loss': '0.873', 'depth_loss': '0.2274', 'vggt_mse_loss': '0.226', 'vggt_cos_loss': '0.0143', 'pidinet_loss': '0.2138', 'siglip_loss': '0.6274', 'epoch': '0.2412'} + 74%|██████████████████████▎ | 6704/9000 [5:36:06<2:44:53, 4.31s/it][Dataset] cur_step=6705 phase=C_full_covt +[Dataset] cur_step=6705 phase=C_full_covt[Dataset] cur_step=6705 phase=C_full_covt + +[Dataset] cur_step=6705 phase=C_full_covt +[Dataset] cur_step=6705 phase=C_full_covt[Dataset] cur_step=6705 phase=C_full_covt + +[Dataset] cur_step=6705 phase=C_full_covt + 74%|██████████████████████▎ | 6705/9000 [5:36:07<2:43:10, 4.27s/it][Dataset] cur_step=6705 phase=C_full_covt + {'loss': '3.022', 'grad_norm': '2.126', 'learning_rate': '8.374e-06', 'epoch': '0.2412'} + 74%|██████████████████████▎ | 6705/9000 [5:36:07<2:43:10, 4.27s/it] {'lm_loss': '0.2707', 'visual_loss': '2.515', 'seg_loss': '0.6577', 'dino_loss': '0.9187', 'depth_loss': '0.2157', 'vggt_mse_loss': '0.2143', 'vggt_cos_loss': '0.0144', 'pidinet_loss': '0.2339', 'siglip_loss': '0.4886', 'epoch': '0.2412'} + 74%|██████████████████████▎ | 6705/9000 [5:36:11<2:43:10, 4.27s/it][Dataset] cur_step=6706 phase=C_full_covt +[Dataset] cur_step=6706 phase=C_full_covt[Dataset] cur_step=6706 phase=C_full_covt + +[Dataset] cur_step=6706 phase=C_full_covt[Dataset] cur_step=6706 phase=C_full_covt + +[Dataset] cur_step=6706 phase=C_full_covt +[Dataset] cur_step=6706 phase=C_full_covt +[Dataset] cur_step=6706 phase=C_full_covt + 75%|██████████████████████▎ | 6706/9000 [5:36:11<2:38:47, 4.15s/it] {'loss': '2.98', 'grad_norm': '3.102', 'learning_rate': '8.368e-06', 'epoch': '0.2412'} + 75%|██████████████████████▎ | 6706/9000 [5:36:11<2:38:47, 4.15s/it] {'lm_loss': '0.5603', 'visual_loss': '2.782', 'seg_loss': '0.8324', 'dino_loss': '0.9269', 'depth_loss': '0.2271', 'vggt_mse_loss': '0.2254', 'vggt_cos_loss': '0.01659', 'pidinet_loss': '0.2504', 'siglip_loss': '0.5452', 'epoch': '0.2412'} + 75%|██████████████████████▎ | 6706/9000 [5:36:14<2:38:47, 4.15s/it][Dataset] cur_step=6707 phase=C_full_covt +[Dataset] cur_step=6707 phase=C_full_covt[Dataset] cur_step=6707 phase=C_full_covt + +[Dataset] cur_step=6707 phase=C_full_covt +[Dataset] cur_step=6707 phase=C_full_covt +[Dataset] cur_step=6707 phase=C_full_covt +[Dataset] cur_step=6707 phase=C_full_covt + 75%|██████████████████████▎ | 6707/9000 [5:36:16<2:41:37, 4.23s/it][Dataset] cur_step=6707 phase=C_full_covt + {'loss': '2.842', 'grad_norm': '1.694', 'learning_rate': '8.361e-06', 'epoch': '0.2413'} + 75%|██████████████████████▎ | 6707/9000 [5:36:16<2:41:37, 4.23s/it] {'lm_loss': '0.5544', 'visual_loss': '2.779', 'seg_loss': '0.6862', 'dino_loss': '0.9345', 'depth_loss': '0.2352', 'vggt_mse_loss': '0.2336', 'vggt_cos_loss': '0.01537', 'pidinet_loss': '0.2404', 'siglip_loss': '0.6824', 'epoch': '0.2413'} + 75%|██████████████████████▎ | 6707/9000 [5:36:19<2:41:37, 4.23s/it][Dataset] cur_step=6708 phase=C_full_covt +[Dataset] cur_step=6708 phase=C_full_covt +[Dataset] cur_step=6708 phase=C_full_covt + 75%|██████████████████████▎ | 6708/9000 [5:36:20<2:41:23, 4.22s/it][Dataset] cur_step=6708 phase=C_full_covt[Dataset] cur_step=6708 phase=C_full_covt[Dataset] cur_step=6708 phase=C_full_covt + + +[Dataset] cur_step=6708 phase=C_full_covt +[Dataset] cur_step=6708 phase=C_full_covt + {'loss': '3.422', 'grad_norm': '1.394', 'learning_rate': '8.354e-06', 'epoch': '0.2413'} + 75%|██████████████████████▎ | 6708/9000 [5:36:20<2:41:23, 4.22s/it] {'lm_loss': '1.041', 'visual_loss': '2.616', 'seg_loss': '0.7246', 'dino_loss': '0.8786', 'depth_loss': '0.2383', 'vggt_mse_loss': '0.2368', 'vggt_cos_loss': '0.01447', 'pidinet_loss': '0.2514', 'siglip_loss': '0.5234', 'epoch': '0.2413'} + 75%|██████████████████████▎ | 6708/9000 [5:36:23<2:41:23, 4.22s/it][Dataset] cur_step=6709 phase=C_full_covt +[Dataset] cur_step=6709 phase=C_full_covt +[Dataset] cur_step=6709 phase=C_full_covt +[Dataset] cur_step=6709 phase=C_full_covt[Dataset] cur_step=6709 phase=C_full_covt + +[Dataset] cur_step=6709 phase=C_full_covt + 75%|██████████████████████▎ | 6709/9000 [5:36:26<3:04:50, 4.84s/it][Dataset] cur_step=6709 phase=C_full_covt +[Dataset] cur_step=6709 phase=C_full_covt + {'loss': '3.234', 'grad_norm': '6.159', 'learning_rate': '8.347e-06', 'epoch': '0.2414'} + 75%|██████████████████████▎ | 6709/9000 [5:36:26<3:04:50, 4.84s/it] {'lm_loss': '0.01119', 'visual_loss': '2.361', 'seg_loss': '0.6812', 'dino_loss': '0.9032', 'depth_loss': '0.2064', 'vggt_mse_loss': '0.205', 'vggt_cos_loss': '0.01385', 'pidinet_loss': '0.1973', 'siglip_loss': '0.3729', 'epoch': '0.2414'} + 75%|██████████████████████▎ | 6709/9000 [5:36:30<3:04:50, 4.84s/it][Dataset] cur_step=6710 phase=C_full_covt +[Dataset] cur_step=6710 phase=C_full_covt[Dataset] cur_step=6710 phase=C_full_covt[Dataset] cur_step=6710 phase=C_full_covt + + + 75%|██████████████████████▎ | 6710/9000 [5:36:30<2:55:37, 4.60s/it][Dataset] cur_step=6710 phase=C_full_covt +[Dataset] cur_step=6710 phase=C_full_covt +[Dataset] cur_step=6710 phase=C_full_covt +[Dataset] cur_step=6710 phase=C_full_covt + {'loss': '2.924', 'grad_norm': '1.505', 'learning_rate': '8.34e-06', 'epoch': '0.2414'} + 75%|██████████████████████▎ | 6710/9000 [5:36:30<2:55:37, 4.60s/it] {'lm_loss': '0.3365', 'visual_loss': '2.44', 'seg_loss': '0.6562', 'dino_loss': '0.8889', 'depth_loss': '0.2578', 'vggt_mse_loss': '0.2558', 'vggt_cos_loss': '0.02038', 'pidinet_loss': '0.2319', 'siglip_loss': '0.4053', 'epoch': '0.2414'} + 75%|██████████████████████▎ | 6710/9000 [5:36:33<2:55:37, 4.60s/it][Dataset] cur_step=6711 phase=C_full_covt +[Dataset] cur_step=6711 phase=C_full_covt +[Dataset] cur_step=6711 phase=C_full_covt +[Dataset] cur_step=6711 phase=C_full_covt[Dataset] cur_step=6711 phase=C_full_covt + + 75%|██████████████████████▎ | 6711/9000 [5:36:34<2:48:45, 4.42s/it][Dataset] cur_step=6711 phase=C_full_covt +[Dataset] cur_step=6711 phase=C_full_covt +[Dataset] cur_step=6711 phase=C_full_covt + {'loss': '2.976', 'grad_norm': '2.905', 'learning_rate': '8.333e-06', 'epoch': '0.2414'} + 75%|██████████████████████▎ | 6711/9000 [5:36:34<2:48:45, 4.42s/it] {'lm_loss': '0.5178', 'visual_loss': '2.731', 'seg_loss': '0.7281', 'dino_loss': '0.9205', 'depth_loss': '0.2913', 'vggt_mse_loss': '0.2892', 'vggt_cos_loss': '0.02111', 'pidinet_loss': '0.207', 'siglip_loss': '0.5838', 'epoch': '0.2414'} + 75%|██████████████████████▎ | 6711/9000 [5:36:38<2:48:45, 4.42s/it][Dataset] cur_step=6712 phase=C_full_covt + 75%|██████████████████████▎ | 6712/9000 [5:36:38<2:42:44, 4.27s/it][Dataset] cur_step=6712 phase=C_full_covt +[Dataset] cur_step=6712 phase=C_full_covt +[Dataset] cur_step=6712 phase=C_full_covt +[Dataset] cur_step=6712 phase=C_full_covt +[Dataset] cur_step=6712 phase=C_full_covt[Dataset] cur_step=6712 phase=C_full_covt + +[Dataset] cur_step=6712 phase=C_full_covt + {'loss': '3.208', 'grad_norm': '1.773', 'learning_rate': '8.326e-06', 'epoch': '0.2415'} + 75%|██████████████████████▎ | 6712/9000 [5:36:38<2:42:44, 4.27s/it] {'lm_loss': '0.7205', 'visual_loss': '2.501', 'seg_loss': '0.7149', 'dino_loss': '0.9049', 'depth_loss': '0.1949', 'vggt_mse_loss': '0.1935', 'vggt_cos_loss': '0.01403', 'pidinet_loss': '0.2084', 'siglip_loss': '0.4783', 'epoch': '0.2415'} + 75%|██████████████████████▎ | 6712/9000 [5:36:41<2:42:44, 4.27s/it][Dataset] cur_step=6713 phase=C_full_covt +[Dataset] cur_step=6713 phase=C_full_covt +[Dataset] cur_step=6713 phase=C_full_covt +[Dataset] cur_step=6713 phase=C_full_covt +[Dataset] cur_step=6713 phase=C_full_covt +[Dataset] cur_step=6713 phase=C_full_covt + 75%|██████████████████████▍ | 6713/9000 [5:36:43<2:47:10, 4.39s/it][Dataset] cur_step=6713 phase=C_full_covt +[Dataset] cur_step=6713 phase=C_full_covt + {'loss': '3.149', 'grad_norm': '1.995', 'learning_rate': '8.32e-06', 'epoch': '0.2415'} + 75%|██████████████████████▍ | 6713/9000 [5:36:43<2:47:10, 4.39s/it] {'lm_loss': '0.1891', 'visual_loss': '2.452', 'seg_loss': '0.6939', 'dino_loss': '0.8918', 'depth_loss': '0.2253', 'vggt_mse_loss': '0.2241', 'vggt_cos_loss': '0.01212', 'pidinet_loss': '0.2234', 'siglip_loss': '0.4177', 'epoch': '0.2415'} + 75%|██████████████████████▍ | 6713/9000 [5:36:46<2:47:10, 4.39s/it][Dataset] cur_step=6714 phase=C_full_covt +[Dataset] cur_step=6714 phase=C_full_covt +[Dataset] cur_step=6714 phase=C_full_covt[Dataset] cur_step=6714 phase=C_full_covt + +[Dataset] cur_step=6714 phase=C_full_covt +[Dataset] cur_step=6714 phase=C_full_covt + 75%|██████████████████████▍ | 6714/9000 [5:36:47<2:47:57, 4.41s/it][Dataset] cur_step=6714 phase=C_full_covt +[Dataset] cur_step=6714 phase=C_full_covt + {'loss': '2.924', 'grad_norm': '1.583', 'learning_rate': '8.313e-06', 'epoch': '0.2415'} + 75%|██████████████████████▍ | 6714/9000 [5:36:47<2:47:57, 4.41s/it] {'lm_loss': '0.5673', 'visual_loss': '2.786', 'seg_loss': '0.738', 'dino_loss': '0.9301', 'depth_loss': '0.4161', 'vggt_mse_loss': '0.4128', 'vggt_cos_loss': '0.03255', 'pidinet_loss': '0.2317', 'siglip_loss': '0.47', 'epoch': '0.2415'} + 75%|██████████████████████▍ | 6714/9000 [5:36:51<2:47:57, 4.41s/it][Dataset] cur_step=6715 phase=C_full_covt[Dataset] cur_step=6715 phase=C_full_covt + +[Dataset] cur_step=6715 phase=C_full_covt +[Dataset] cur_step=6715 phase=C_full_covt[Dataset] cur_step=6715 phase=C_full_covt + +[Dataset] cur_step=6715 phase=C_full_covt + 75%|██████████████████████▍ | 6715/9000 [5:36:51<2:42:55, 4.28s/it][Dataset] cur_step=6715 phase=C_full_covt +[Dataset] cur_step=6715 phase=C_full_covt + {'loss': '2.88', 'grad_norm': '2.05', 'learning_rate': '8.306e-06', 'epoch': '0.2416'} + 75%|██████████████████████▍ | 6715/9000 [5:36:51<2:42:55, 4.28s/it] {'lm_loss': '0.5685', 'visual_loss': '2.673', 'seg_loss': '0.7742', 'dino_loss': '0.9091', 'depth_loss': '0.2529', 'vggt_mse_loss': '0.2512', 'vggt_cos_loss': '0.01713', 'pidinet_loss': '0.2206', 'siglip_loss': '0.5167', 'epoch': '0.2416'} + 75%|██████████████████████▍ | 6715/9000 [5:36:55<2:42:55, 4.28s/it][Dataset] cur_step=6716 phase=C_full_covt +[Dataset] cur_step=6716 phase=C_full_covt +[Dataset] cur_step=6716 phase=C_full_covt +[Dataset] cur_step=6716 phase=C_full_covt +[Dataset] cur_step=6716 phase=C_full_covt + 75%|██████████████████████▍ | 6716/9000 [5:36:55<2:38:24, 4.16s/it][Dataset] cur_step=6716 phase=C_full_covt +[Dataset] cur_step=6716 phase=C_full_covt +[Dataset] cur_step=6716 phase=C_full_covt + {'loss': '3.327', 'grad_norm': '1.771', 'learning_rate': '8.299e-06', 'epoch': '0.2416'} + 75%|██████████████████████▍ | 6716/9000 [5:36:55<2:38:24, 4.16s/it] {'lm_loss': '0.4741', 'visual_loss': '2.706', 'seg_loss': '0.6254', 'dino_loss': '0.9265', 'depth_loss': '0.3833', 'vggt_mse_loss': '0.3807', 'vggt_cos_loss': '0.02597', 'pidinet_loss': '0.2451', 'siglip_loss': '0.5258', 'epoch': '0.2416'} + 75%|██████████████████████▍ | 6716/9000 [5:36:58<2:38:24, 4.16s/it][Dataset] cur_step=6717 phase=C_full_covt + 75%|██████████████████████▍ | 6717/9000 [5:36:59<2:36:57, 4.13s/it][Dataset] cur_step=6717 phase=C_full_covt +[Dataset] cur_step=6717 phase=C_full_covt +[Dataset] cur_step=6717 phase=C_full_covt[Dataset] cur_step=6717 phase=C_full_covt[Dataset] cur_step=6717 phase=C_full_covt + + +[Dataset] cur_step=6717 phase=C_full_covt +[Dataset] cur_step=6717 phase=C_full_covt + {'loss': '3.085', 'grad_norm': '3.889', 'learning_rate': '8.292e-06', 'epoch': '0.2416'} + 75%|██████████████████████▍ | 6717/9000 [5:36:59<2:36:57, 4.13s/it] {'lm_loss': '1.05', 'visual_loss': '2.916', 'seg_loss': '0.7621', 'dino_loss': '0.9174', 'depth_loss': '0.2096', 'vggt_mse_loss': '0.2083', 'vggt_cos_loss': '0.01373', 'pidinet_loss': '0.2566', 'siglip_loss': '0.7706', 'epoch': '0.2416'} + 75%|██████████████████████▍ | 6717/9000 [5:37:02<2:36:57, 4.13s/it][Dataset] cur_step=6718 phase=C_full_covt + 75%|██████████████████████▍ | 6718/9000 [5:37:03<2:33:43, 4.04s/it][Dataset] cur_step=6718 phase=C_full_covt[Dataset] cur_step=6718 phase=C_full_covt + +[Dataset] cur_step=6718 phase=C_full_covt +[Dataset] cur_step=6718 phase=C_full_covt +[Dataset] cur_step=6718 phase=C_full_covt +[Dataset] cur_step=6718 phase=C_full_covt +[Dataset] cur_step=6718 phase=C_full_covt + {'loss': '3.231', 'grad_norm': '1.439', 'learning_rate': '8.285e-06', 'epoch': '0.2417'} + 75%|██████████████████████▍ | 6718/9000 [5:37:03<2:33:43, 4.04s/it] {'lm_loss': '0.5373', 'visual_loss': '2.724', 'seg_loss': '0.5907', 'dino_loss': '0.8951', 'depth_loss': '0.2644', 'vggt_mse_loss': '0.2621', 'vggt_cos_loss': '0.0233', 'pidinet_loss': '0.1441', 'siglip_loss': '0.8297', 'epoch': '0.2417'} + 75%|██████████████████████▍ | 6718/9000 [5:37:06<2:33:43, 4.04s/it][Dataset] cur_step=6719 phase=C_full_covt +[Dataset] cur_step=6719 phase=C_full_covt +[Dataset] cur_step=6719 phase=C_full_covt[Dataset] cur_step=6719 phase=C_full_covt + +[Dataset] cur_step=6719 phase=C_full_covt +[Dataset] cur_step=6719 phase=C_full_covt +[Dataset] cur_step=6719 phase=C_full_covt +[Dataset] cur_step=6719 phase=C_full_covt + 75%|██████████████████████▍ | 6719/9000 [5:37:07<2:31:33, 3.99s/it] {'loss': '3.092', 'grad_norm': '5.709', 'learning_rate': '8.279e-06', 'epoch': '0.2417'} + 75%|██████████████████████▍ | 6719/9000 [5:37:07<2:31:33, 3.99s/it] {'lm_loss': '1.2', 'visual_loss': '2.468', 'seg_loss': '0.6367', 'dino_loss': '0.8585', 'depth_loss': '0.248', 'vggt_mse_loss': '0.2466', 'vggt_cos_loss': '0.01377', 'pidinet_loss': '0.222', 'siglip_loss': '0.503', 'epoch': '0.2417'} + 75%|██████████████████████▍ | 6719/9000 [5:37:10<2:31:33, 3.99s/it][Dataset] cur_step=6720 phase=C_full_covt +[Dataset] cur_step=6720 phase=C_full_covt +[Dataset] cur_step=6720 phase=C_full_covt + 75%|██████████████████████▍ | 6720/9000 [5:37:11<2:33:45, 4.05s/it][Dataset] cur_step=6720 phase=C_full_covt +[Dataset] cur_step=6720 phase=C_full_covt +[Dataset] cur_step=6720 phase=C_full_covt +[Dataset] cur_step=6720 phase=C_full_covt +[Dataset] cur_step=6720 phase=C_full_covt + {'loss': '3.112', 'grad_norm': '2.347', 'learning_rate': '8.272e-06', 'epoch': '0.2418'} + 75%|██████████████████████▍ | 6720/9000 [5:37:11<2:33:45, 4.05s/it] {'lm_loss': '0.5585', 'visual_loss': '2.639', 'seg_loss': '0.6175', 'dino_loss': '0.9268', 'depth_loss': '0.1523', 'vggt_mse_loss': '0.1512', 'vggt_cos_loss': '0.01118', 'pidinet_loss': '0.2818', 'siglip_loss': '0.6603', 'epoch': '0.2418'} + 75%|██████████████████████▍ | 6720/9000 [5:37:14<2:33:45, 4.05s/it][Dataset] cur_step=6721 phase=C_full_covt +[Dataset] cur_step=6721 phase=C_full_covt +[Dataset] cur_step=6721 phase=C_full_covt +[Dataset] cur_step=6721 phase=C_full_covt + 75%|██████████████████████▍ | 6721/9000 [5:37:15<2:28:48, 3.92s/it][Dataset] cur_step=6721 phase=C_full_covt +[Dataset] cur_step=6721 phase=C_full_covt +[Dataset] cur_step=6721 phase=C_full_covt +[Dataset] cur_step=6721 phase=C_full_covt + {'loss': '2.96', 'grad_norm': '1.323', 'learning_rate': '8.265e-06', 'epoch': '0.2418'} + 75%|██████████████████████▍ | 6721/9000 [5:37:15<2:28:48, 3.92s/it] {'lm_loss': '0.3334', 'visual_loss': '2.438', 'seg_loss': '0.7001', 'dino_loss': '0.8727', 'depth_loss': '0.248', 'vggt_mse_loss': '0.2461', 'vggt_cos_loss': '0.01908', 'pidinet_loss': '0.207', 'siglip_loss': '0.4101', 'epoch': '0.2418'} + 75%|██████████████████████▍ | 6721/9000 [5:37:18<2:28:48, 3.92s/it][Dataset] cur_step=6722 phase=C_full_covt +[Dataset] cur_step=6722 phase=C_full_covt +[Dataset] cur_step=6722 phase=C_full_covt +[Dataset] cur_step=6722 phase=C_full_covt +[Dataset] cur_step=6722 phase=C_full_covt + 75%|██████████████████████▍ | 6722/9000 [5:37:19<2:30:31, 3.96s/it][Dataset] cur_step=6722 phase=C_full_covt +[Dataset] cur_step=6722 phase=C_full_covt +[Dataset] cur_step=6722 phase=C_full_covt + {'loss': '2.915', 'grad_norm': '2.141', 'learning_rate': '8.258e-06', 'epoch': '0.2418'} + 75%|██████████████████████▍ | 6722/9000 [5:37:19<2:30:31, 3.96s/it] {'lm_loss': '0.4129', 'visual_loss': '2.606', 'seg_loss': '0.6589', 'dino_loss': '0.9176', 'depth_loss': '0.2482', 'vggt_mse_loss': '0.2464', 'vggt_cos_loss': '0.0181', 'pidinet_loss': '0.2206', 'siglip_loss': '0.5607', 'epoch': '0.2418'} + 75%|██████████████████████▍ | 6722/9000 [5:37:22<2:30:31, 3.96s/it][Dataset] cur_step=6723 phase=C_full_covt[Dataset] cur_step=6723 phase=C_full_covt + +[Dataset] cur_step=6723 phase=C_full_covt[Dataset] cur_step=6723 phase=C_full_covt +[Dataset] cur_step=6723 phase=C_full_covt + + 75%|██████████████████████▍ | 6723/9000 [5:37:22<2:27:59, 3.90s/it][Dataset] cur_step=6723 phase=C_full_covt[Dataset] cur_step=6723 phase=C_full_covt + +[Dataset] cur_step=6723 phase=C_full_covt + {'loss': '2.796', 'grad_norm': '1.35', 'learning_rate': '8.251e-06', 'epoch': '0.2419'} + 75%|██████████████████████▍ | 6723/9000 [5:37:22<2:27:59, 3.90s/it] {'lm_loss': '0.2826', 'visual_loss': '2.536', 'seg_loss': '0.6827', 'dino_loss': '0.8882', 'depth_loss': '0.2075', 'vggt_mse_loss': '0.2063', 'vggt_cos_loss': '0.01237', 'pidinet_loss': '0.203', 'siglip_loss': '0.555', 'epoch': '0.2419'} + 75%|██████████████████████▍ | 6723/9000 [5:37:26<2:27:59, 3.90s/it][Dataset] cur_step=6724 phase=C_full_covt +[Dataset] cur_step=6724 phase=C_full_covt +[Dataset] cur_step=6724 phase=C_full_covt[Dataset] cur_step=6724 phase=C_full_covt + +[Dataset] cur_step=6724 phase=C_full_covt[Dataset] cur_step=6724 phase=C_full_covt +[Dataset] cur_step=6724 phase=C_full_covt + + 75%|██████████████████████▍ | 6724/9000 [5:37:26<2:28:17, 3.91s/it][Dataset] cur_step=6724 phase=C_full_covt + {'loss': '3.2', 'grad_norm': '3.273', 'learning_rate': '8.244e-06', 'epoch': '0.2419'} + 75%|██████████████████████▍ | 6724/9000 [5:37:26<2:28:17, 3.91s/it] {'lm_loss': '0.8368', 'visual_loss': '2.603', 'seg_loss': '0.7268', 'dino_loss': '0.8758', 'depth_loss': '0.3035', 'vggt_mse_loss': '0.3013', 'vggt_cos_loss': '0.02144', 'pidinet_loss': '0.2004', 'siglip_loss': '0.496', 'epoch': '0.2419'} + 75%|██████████████████████▍ | 6724/9000 [5:37:31<2:28:17, 3.91s/it][Dataset] cur_step=6725 phase=C_full_covt + 75%|██████████████████████▍ | 6725/9000 [5:37:31<2:35:45, 4.11s/it][Dataset] cur_step=6725 phase=C_full_covt +[Dataset] cur_step=6725 phase=C_full_covt[Dataset] cur_step=6725 phase=C_full_covt +[Dataset] cur_step=6725 phase=C_full_covt + +[Dataset] cur_step=6725 phase=C_full_covt +[Dataset] cur_step=6725 phase=C_full_covt +[Dataset] cur_step=6725 phase=C_full_covt + {'loss': '2.855', 'grad_norm': '2.028', 'learning_rate': '8.238e-06', 'epoch': '0.2419'} + 75%|██████████████████████▍ | 6725/9000 [5:37:31<2:35:45, 4.11s/it] {'lm_loss': '0.8361', 'visual_loss': '2.623', 'seg_loss': '0.7493', 'dino_loss': '0.8914', 'depth_loss': '0.2427', 'vggt_mse_loss': '0.2411', 'vggt_cos_loss': '0.01606', 'pidinet_loss': '0.2479', 'siglip_loss': '0.4917', 'epoch': '0.2419'} + 75%|██████████████████████▍ | 6725/9000 [5:37:34<2:35:45, 4.11s/it][Dataset] cur_step=6726 phase=C_full_covt +[Dataset] cur_step=6726 phase=C_full_covt +[Dataset] cur_step=6726 phase=C_full_covt + 75%|██████████████████████▍ | 6726/9000 [5:37:35<2:37:37, 4.16s/it][Dataset] cur_step=6726 phase=C_full_covt +[Dataset] cur_step=6726 phase=C_full_covt +[Dataset] cur_step=6726 phase=C_full_covt +[Dataset] cur_step=6726 phase=C_full_covt +[Dataset] cur_step=6726 phase=C_full_covt + {'loss': '3.245', 'grad_norm': '2.177', 'learning_rate': '8.231e-06', 'epoch': '0.242'} + 75%|██████████████████████▍ | 6726/9000 [5:37:35<2:37:37, 4.16s/it] {'lm_loss': '0.4078', 'visual_loss': '2.978', 'seg_loss': '0.7963', 'dino_loss': '0.9076', 'depth_loss': '0.2554', 'vggt_mse_loss': '0.2537', 'vggt_cos_loss': '0.01651', 'pidinet_loss': '0.241', 'siglip_loss': '0.7781', 'epoch': '0.242'} + 75%|██████████████████████▍ | 6726/9000 [5:37:38<2:37:37, 4.16s/it][Dataset] cur_step=6727 phase=C_full_covt +[Dataset] cur_step=6727 phase=C_full_covt +[Dataset] cur_step=6727 phase=C_full_covt +[Dataset] cur_step=6727 phase=C_full_covt 75%|██████████████████████▍ | 6727/9000 [5:37:39<2:34:12, 4.07s/it] +[Dataset] cur_step=6727 phase=C_full_covt +[Dataset] cur_step=6727 phase=C_full_covt +[Dataset] cur_step=6727 phase=C_full_covt +[Dataset] cur_step=6727 phase=C_full_covt + {'loss': '3.055', 'grad_norm': '24.9', 'learning_rate': '8.224e-06', 'epoch': '0.242'} + 75%|██████████████████████▍ | 6727/9000 [5:37:39<2:34:12, 4.07s/it] {'lm_loss': '0.7733', 'visual_loss': '2.611', 'seg_loss': '0.7395', 'dino_loss': '0.8907', 'depth_loss': '0.2939', 'vggt_mse_loss': '0.2922', 'vggt_cos_loss': '0.0176', 'pidinet_loss': '0.2131', 'siglip_loss': '0.4741', 'epoch': '0.242'} + 75%|██████████████████████▍ | 6727/9000 [5:37:43<2:34:12, 4.07s/it][Dataset] cur_step=6728 phase=C_full_covt +[Dataset] cur_step=6728 phase=C_full_covt[Dataset] cur_step=6728 phase=C_full_covt + + 75%|██████████████████████▍ | 6728/9000 [5:37:43<2:31:54, 4.01s/it][Dataset] cur_step=6728 phase=C_full_covt[Dataset] cur_step=6728 phase=C_full_covt + +[Dataset] cur_step=6728 phase=C_full_covt +[Dataset] cur_step=6728 phase=C_full_covt +[Dataset] cur_step=6728 phase=C_full_covt + {'loss': '3.027', 'grad_norm': '2.234', 'learning_rate': '8.217e-06', 'epoch': '0.242'} + 75%|██████████████████████▍ | 6728/9000 [5:37:43<2:31:54, 4.01s/it] {'lm_loss': '1.284', 'visual_loss': '3.015', 'seg_loss': '0.7287', 'dino_loss': '0.8972', 'depth_loss': '0.2781', 'vggt_mse_loss': '0.2758', 'vggt_cos_loss': '0.02395', 'pidinet_loss': '0.2718', 'siglip_loss': '0.8388', 'epoch': '0.242'} + 75%|██████████████████████▍ | 6728/9000 [5:37:46<2:31:54, 4.01s/it][Dataset] cur_step=6729 phase=C_full_covt +[Dataset] cur_step=6729 phase=C_full_covt +[Dataset] cur_step=6729 phase=C_full_covt[Dataset] cur_step=6729 phase=C_full_covt + +[Dataset] cur_step=6729 phase=C_full_covt 75%|██████████████████████▍ | 6729/9000 [5:37:47<2:31:55, 4.01s/it][Dataset] cur_step=6729 phase=C_full_covt + +[Dataset] cur_step=6729 phase=C_full_covt[Dataset] cur_step=6729 phase=C_full_covt + + {'loss': '3.303', 'grad_norm': '1.658', 'learning_rate': '8.21e-06', 'epoch': '0.2421'} + 75%|██████████████████████▍ | 6729/9000 [5:37:47<2:31:55, 4.01s/it] {'lm_loss': '0.1516', 'visual_loss': '2.839', 'seg_loss': '0.8264', 'dino_loss': '0.9489', 'depth_loss': '0.2948', 'vggt_mse_loss': '0.2929', 'vggt_cos_loss': '0.01928', 'pidinet_loss': '0.255', 'siglip_loss': '0.5143', 'epoch': '0.2421'} + 75%|██████████████████████▍ | 6729/9000 [5:37:50<2:31:55, 4.01s/it][Dataset] cur_step=6730 phase=C_full_covt[Dataset] cur_step=6730 phase=C_full_covt + +[Dataset] cur_step=6730 phase=C_full_covt +[Dataset] cur_step=6730 phase=C_full_covt[Dataset] cur_step=6730 phase=C_full_covt + +[Dataset] cur_step=6730 phase=C_full_covt + 75%|██████████████████████▍ | 6730/9000 [5:37:51<2:29:29, 3.95s/it][Dataset] cur_step=6730 phase=C_full_covt +[Dataset] cur_step=6730 phase=C_full_covt + {'loss': '2.984', 'grad_norm': '3.583', 'learning_rate': '8.204e-06', 'epoch': '0.2421'} + 75%|██████████████████████▍ | 6730/9000 [5:37:51<2:29:29, 3.95s/it] {'lm_loss': '0.00479', 'visual_loss': '2.527', 'seg_loss': '0.518', 'dino_loss': '0.8822', 'depth_loss': '0.2405', 'vggt_mse_loss': '0.2391', 'vggt_cos_loss': '0.01402', 'pidinet_loss': '0.2335', 'siglip_loss': '0.6531', 'epoch': '0.2421'} + 75%|██████████████████████▍ | 6730/9000 [5:37:54<2:29:29, 3.95s/it][Dataset] cur_step=6731 phase=C_full_covt +[Dataset] cur_step=6731 phase=C_full_covt +[Dataset] cur_step=6731 phase=C_full_covt[Dataset] cur_step=6731 phase=C_full_covt + +[Dataset] cur_step=6731 phase=C_full_covt + 75%|██████████████████████▍ | 6731/9000 [5:37:55<2:29:38, 3.96s/it][Dataset] cur_step=6731 phase=C_full_covt +[Dataset] cur_step=6731 phase=C_full_covt +[Dataset] cur_step=6731 phase=C_full_covt + {'loss': '3.029', 'grad_norm': '2.11', 'learning_rate': '8.197e-06', 'epoch': '0.2421'} + 75%|██████████████████████▍ | 6731/9000 [5:37:55<2:29:38, 3.96s/it] {'lm_loss': '0.007912', 'visual_loss': '2.828', 'seg_loss': '0.7417', 'dino_loss': '0.9062', 'depth_loss': '0.24', 'vggt_mse_loss': '0.2381', 'vggt_cos_loss': '0.01917', 'pidinet_loss': '0.253', 'siglip_loss': '0.6872', 'epoch': '0.2421'} + 75%|██████████████████████▍ | 6731/9000 [5:37:58<2:29:38, 3.96s/it][Dataset] cur_step=6732 phase=C_full_covt + 75%|██████████████████████▍ | 6732/9000 [5:37:59<2:30:49, 3.99s/it][Dataset] cur_step=6732 phase=C_full_covt +[Dataset] cur_step=6732 phase=C_full_covt +[Dataset] cur_step=6732 phase=C_full_covt +[Dataset] cur_step=6732 phase=C_full_covt +[Dataset] cur_step=6732 phase=C_full_covt +[Dataset] cur_step=6732 phase=C_full_covt +[Dataset] cur_step=6732 phase=C_full_covt + {'loss': '3.256', 'grad_norm': '1.73', 'learning_rate': '8.19e-06', 'epoch': '0.2422'} + 75%|██████████████████████▍ | 6732/9000 [5:37:59<2:30:49, 3.99s/it] {'lm_loss': '0.002003', 'visual_loss': '2.531', 'seg_loss': '0.6231', 'dino_loss': '0.9', 'depth_loss': '0.1982', 'vggt_mse_loss': '0.1968', 'vggt_cos_loss': '0.01353', 'pidinet_loss': '0.1964', 'siglip_loss': '0.6133', 'epoch': '0.2422'} + 75%|██████████████████████▍ | 6732/9000 [5:38:03<2:30:49, 3.99s/it][Dataset] cur_step=6733 phase=C_full_covt +[Dataset] cur_step=6733 phase=C_full_covt + 75%|██████████████████████▍ | 6733/9000 [5:38:03<2:37:04, 4.16s/it][Dataset] cur_step=6733 phase=C_full_covt +[Dataset] cur_step=6733 phase=C_full_covt +[Dataset] cur_step=6733 phase=C_full_covt +[Dataset] cur_step=6733 phase=C_full_covt +[Dataset] cur_step=6733 phase=C_full_covt +[Dataset] cur_step=6733 phase=C_full_covt + {'loss': '3.107', 'grad_norm': '2.107', 'learning_rate': '8.183e-06', 'epoch': '0.2422'} + 75%|██████████████████████▍ | 6733/9000 [5:38:03<2:37:04, 4.16s/it] {'lm_loss': '0.5497', 'visual_loss': '2.65', 'seg_loss': '0.814', 'dino_loss': '0.9143', 'depth_loss': '0.2353', 'vggt_mse_loss': '0.2335', 'vggt_cos_loss': '0.0179', 'pidinet_loss': '0.2065', 'siglip_loss': '0.4794', 'epoch': '0.2422'} + 75%|██████████████████████▍ | 6733/9000 [5:38:06<2:37:04, 4.16s/it][Dataset] cur_step=6734 phase=C_full_covt +[Dataset] cur_step=6734 phase=C_full_covt +[Dataset] cur_step=6734 phase=C_full_covt +[Dataset] cur_step=6734 phase=C_full_covt +[Dataset] cur_step=6734 phase=C_full_covt +[Dataset] cur_step=6734 phase=C_full_covt[Dataset] cur_step=6734 phase=C_full_covt + +[Dataset] cur_step=6734 phase=C_full_covt 75%|██████████████████████▍ | 6734/9000 [5:38:07<2:33:42, 4.07s/it] + {'loss': '3.101', 'grad_norm': '1.81', 'learning_rate': '8.176e-06', 'epoch': '0.2423'} + 75%|██████████████████████▍ | 6734/9000 [5:38:07<2:33:42, 4.07s/it] {'lm_loss': '0.4322', 'visual_loss': '2.764', 'seg_loss': '0.6112', 'dino_loss': '0.9166', 'depth_loss': '0.1855', 'vggt_mse_loss': '0.1843', 'vggt_cos_loss': '0.01171', 'pidinet_loss': '0.2477', 'siglip_loss': '0.8026', 'epoch': '0.2423'} + 75%|██████████████████████▍ | 6734/9000 [5:38:12<2:33:42, 4.07s/it][Dataset] cur_step=6735 phase=C_full_covt +[Dataset] cur_step=6735 phase=C_full_covt[Dataset] cur_step=6735 phase=C_full_covt + +[Dataset] cur_step=6735 phase=C_full_covt + 75%|██████████████████████▍ | 6735/9000 [5:38:12<2:40:10, 4.24s/it][Dataset] cur_step=6735 phase=C_full_covt +[Dataset] cur_step=6735 phase=C_full_covt +[Dataset] cur_step=6735 phase=C_full_covt +[Dataset] cur_step=6735 phase=C_full_covt + {'loss': '3.25', 'grad_norm': '1.595', 'learning_rate': '8.17e-06', 'epoch': '0.2423'} + 75%|██████████████████████▍ | 6735/9000 [5:38:12<2:40:10, 4.24s/it] {'lm_loss': '0.3211', 'visual_loss': '2.629', 'seg_loss': '0.5911', 'dino_loss': '0.9098', 'depth_loss': '0.1961', 'vggt_mse_loss': '0.1945', 'vggt_cos_loss': '0.01573', 'pidinet_loss': '0.2651', 'siglip_loss': '0.6668', 'epoch': '0.2423'} + 75%|██████████████████████▍ | 6735/9000 [5:38:15<2:40:10, 4.24s/it][Dataset] cur_step=6736 phase=C_full_covt +[Dataset] cur_step=6736 phase=C_full_covt +[Dataset] cur_step=6736 phase=C_full_covt +[Dataset] cur_step=6736 phase=C_full_covt[Dataset] cur_step=6736 phase=C_full_covt + +[Dataset] cur_step=6736 phase=C_full_covt + 75%|██████████████████████▍ | 6736/9000 [5:38:17<2:45:17, 4.38s/it][Dataset] cur_step=6736 phase=C_full_covt +[Dataset] cur_step=6736 phase=C_full_covt + {'loss': '3.511', 'grad_norm': '2.455', 'learning_rate': '8.163e-06', 'epoch': '0.2423'} + 75%|██████████████████████▍ | 6736/9000 [5:38:17<2:45:17, 4.38s/it] {'lm_loss': '0.01222', 'visual_loss': '2.632', 'seg_loss': '0.7176', 'dino_loss': '0.9166', 'depth_loss': '0.2663', 'vggt_mse_loss': '0.2645', 'vggt_cos_loss': '0.01799', 'pidinet_loss': '0.2218', 'siglip_loss': '0.5093', 'epoch': '0.2423'} + 75%|██████████████████████▍ | 6736/9000 [5:38:19<2:45:17, 4.38s/it][Dataset] cur_step=6737 phase=C_full_covt +[Dataset] cur_step=6737 phase=C_full_covt +[Dataset] cur_step=6737 phase=C_full_covt +[Dataset] cur_step=6737 phase=C_full_covt +[Dataset] cur_step=6737 phase=C_full_covt +[Dataset] cur_step=6737 phase=C_full_covt +[Dataset] cur_step=6737 phase=C_full_covt[Dataset] cur_step=6737 phase=C_full_covt + 75%|██████████████████████▍ | 6737/9000 [5:38:21<2:40:56, 4.27s/it] + {'loss': '3.028', 'grad_norm': '2.668', 'learning_rate': '8.156e-06', 'epoch': '0.2424'} + 75%|██████████████████████▍ | 6737/9000 [5:38:21<2:40:56, 4.27s/it] {'lm_loss': '0.2086', 'visual_loss': '2.672', 'seg_loss': '0.7837', 'dino_loss': '0.9376', 'depth_loss': '0.2159', 'vggt_mse_loss': '0.2144', 'vggt_cos_loss': '0.01483', 'pidinet_loss': '0.2326', 'siglip_loss': '0.5024', 'epoch': '0.2424'} + 75%|██████████████████████▍ | 6737/9000 [5:38:24<2:40:56, 4.27s/it][Dataset] cur_step=6738 phase=C_full_covt[Dataset] cur_step=6738 phase=C_full_covt + +[Dataset] cur_step=6738 phase=C_full_covt[Dataset] cur_step=6738 phase=C_full_covt + + 75%|██████████████████████▍ | 6738/9000 [5:38:25<2:36:49, 4.16s/it][Dataset] cur_step=6738 phase=C_full_covt +[Dataset] cur_step=6738 phase=C_full_covt +[Dataset] cur_step=6738 phase=C_full_covt +[Dataset] cur_step=6738 phase=C_full_covt + {'loss': '3.217', 'grad_norm': '1.647', 'learning_rate': '8.149e-06', 'epoch': '0.2424'} + 75%|██████████████████████▍ | 6738/9000 [5:38:25<2:36:49, 4.16s/it] {'lm_loss': '0.3147', 'visual_loss': '2.75', 'seg_loss': '0.7351', 'dino_loss': '0.8971', 'depth_loss': '0.3742', 'vggt_mse_loss': '0.3714', 'vggt_cos_loss': '0.0283', 'pidinet_loss': '0.2032', 'siglip_loss': '0.5407', 'epoch': '0.2424'} + 75%|██████████████████████▍ | 6738/9000 [5:38:28<2:36:49, 4.16s/it][Dataset] cur_step=6739 phase=C_full_covt +[Dataset] cur_step=6739 phase=C_full_covt +[Dataset] cur_step=6739 phase=C_full_covt +[Dataset] cur_step=6739 phase=C_full_covt +[Dataset] cur_step=6739 phase=C_full_covt 75%|██████████████████████▍ | 6739/9000 [5:38:29<2:37:36, 4.18s/it] +[Dataset] cur_step=6739 phase=C_full_covt +[Dataset] cur_step=6739 phase=C_full_covt +[Dataset] cur_step=6739 phase=C_full_covt + {'loss': '3.046', 'grad_norm': '2.715', 'learning_rate': '8.142e-06', 'epoch': '0.2424'} + 75%|██████████████████████▍ | 6739/9000 [5:38:29<2:37:36, 4.18s/it] {'lm_loss': '0.6002', 'visual_loss': '2.498', 'seg_loss': '0.6994', 'dino_loss': '0.9011', 'depth_loss': '0.2623', 'vggt_mse_loss': '0.2602', 'vggt_cos_loss': '0.02079', 'pidinet_loss': '0.1978', 'siglip_loss': '0.4372', 'epoch': '0.2424'} + 75%|██████████████████████▍ | 6739/9000 [5:38:32<2:37:36, 4.18s/it][Dataset] cur_step=6740 phase=C_full_covt + 75%|██████████████████████▍ | 6740/9000 [5:38:33<2:35:24, 4.13s/it][Dataset] cur_step=6740 phase=C_full_covt[Dataset] cur_step=6740 phase=C_full_covt + +[Dataset] cur_step=6740 phase=C_full_covt[Dataset] cur_step=6740 phase=C_full_covt + +[Dataset] cur_step=6740 phase=C_full_covt +[Dataset] cur_step=6740 phase=C_full_covt +[Dataset] cur_step=6740 phase=C_full_covt + {'loss': '2.819', 'grad_norm': '1.775', 'learning_rate': '8.136e-06', 'epoch': '0.2425'} + 75%|██████████████████████▍ | 6740/9000 [5:38:33<2:35:24, 4.13s/it] {'lm_loss': '0.001607', 'visual_loss': '2.513', 'seg_loss': '0.7069', 'dino_loss': '0.9107', 'depth_loss': '0.2328', 'vggt_mse_loss': '0.2311', 'vggt_cos_loss': '0.01743', 'pidinet_loss': '0.2568', 'siglip_loss': '0.4054', 'epoch': '0.2425'} + 75%|██████████████████████▍ | 6740/9000 [5:38:36<2:35:24, 4.13s/it][Dataset] cur_step=6741 phase=C_full_covt +[Dataset] cur_step=6741 phase=C_full_covt +[Dataset] cur_step=6741 phase=C_full_covt[Dataset] cur_step=6741 phase=C_full_covt + +[Dataset] cur_step=6741 phase=C_full_covt[Dataset] cur_step=6741 phase=C_full_covt[Dataset] cur_step=6741 phase=C_full_covt + + + 75%|██████████████████████▍ | 6741/9000 [5:38:37<2:34:21, 4.10s/it][Dataset] cur_step=6741 phase=C_full_covt + {'loss': '3.011', 'grad_norm': '1.497', 'learning_rate': '8.129e-06', 'epoch': '0.2425'} + 75%|██████████████████████▍ | 6741/9000 [5:38:37<2:34:21, 4.10s/it] {'lm_loss': '0.2546', 'visual_loss': '2.749', 'seg_loss': '0.6829', 'dino_loss': '0.9069', 'depth_loss': '0.3754', 'vggt_mse_loss': '0.3734', 'vggt_cos_loss': '0.02084', 'pidinet_loss': '0.1711', 'siglip_loss': '0.6122', 'epoch': '0.2425'} + 75%|██████████████████████▍ | 6741/9000 [5:38:40<2:34:21, 4.10s/it][Dataset] cur_step=6742 phase=C_full_covt +[Dataset] cur_step=6742 phase=C_full_covt + 75%|██████████████████████▍ | 6742/9000 [5:38:41<2:30:00, 3.99s/it][Dataset] cur_step=6742 phase=C_full_covt +[Dataset] cur_step=6742 phase=C_full_covt[Dataset] cur_step=6742 phase=C_full_covt[Dataset] cur_step=6742 phase=C_full_covt + + +[Dataset] cur_step=6742 phase=C_full_covt +[Dataset] cur_step=6742 phase=C_full_covt + {'loss': '3.085', 'grad_norm': '2.191', 'learning_rate': '8.122e-06', 'epoch': '0.2425'} + 75%|██████████████████████▍ | 6742/9000 [5:38:41<2:30:00, 3.99s/it] {'lm_loss': '0.9239', 'visual_loss': '2.328', 'seg_loss': '0.6257', 'dino_loss': '0.8626', 'depth_loss': '0.1759', 'vggt_mse_loss': '0.1751', 'vggt_cos_loss': '0.00811', 'pidinet_loss': '0.2098', 'siglip_loss': '0.4536', 'epoch': '0.2425'} + 75%|██████████████████████▍ | 6742/9000 [5:38:44<2:30:00, 3.99s/it][Dataset] cur_step=6743 phase=C_full_covt +[Dataset] cur_step=6743 phase=C_full_covt[Dataset] cur_step=6743 phase=C_full_covt + + 75%|██████████████████████▍ | 6743/9000 [5:38:45<2:32:18, 4.05s/it][Dataset] cur_step=6743 phase=C_full_covt +[Dataset] cur_step=6743 phase=C_full_covt +[Dataset] cur_step=6743 phase=C_full_covt +[Dataset] cur_step=6743 phase=C_full_covt +[Dataset] cur_step=6743 phase=C_full_covt + {'loss': '3.182', 'grad_norm': '2.521', 'learning_rate': '8.115e-06', 'epoch': '0.2426'} + 75%|██████████████████████▍ | 6743/9000 [5:38:45<2:32:18, 4.05s/it] {'lm_loss': '0.8097', 'visual_loss': '2.707', 'seg_loss': '0.833', 'dino_loss': '0.9077', 'depth_loss': '0.2473', 'vggt_mse_loss': '0.2454', 'vggt_cos_loss': '0.01869', 'pidinet_loss': '0.2322', 'siglip_loss': '0.4865', 'epoch': '0.2426'} + 75%|██████████████████████▍ | 6743/9000 [5:38:48<2:32:18, 4.05s/it][Dataset] cur_step=6744 phase=C_full_covt +[Dataset] cur_step=6744 phase=C_full_covt +[Dataset] cur_step=6744 phase=C_full_covt +[Dataset] cur_step=6744 phase=C_full_covt[Dataset] cur_step=6744 phase=C_full_covt + +[Dataset] cur_step=6744 phase=C_full_covt[Dataset] cur_step=6744 phase=C_full_covt + + 75%|██████████████████████▍ | 6744/9000 [5:38:49<2:33:20, 4.08s/it][Dataset] cur_step=6744 phase=C_full_covt + {'loss': '3.216', 'grad_norm': '2.475', 'learning_rate': '8.109e-06', 'epoch': '0.2426'} + 75%|██████████████████████▍ | 6744/9000 [5:38:49<2:33:20, 4.08s/it] {'lm_loss': '0.5675', 'visual_loss': '2.482', 'seg_loss': '0.6232', 'dino_loss': '0.9287', 'depth_loss': '0.2168', 'vggt_mse_loss': '0.2152', 'vggt_cos_loss': '0.01652', 'pidinet_loss': '0.22', 'siglip_loss': '0.4934', 'epoch': '0.2426'} + 75%|██████████████████████▍ | 6744/9000 [5:38:52<2:33:20, 4.08s/it][Dataset] cur_step=6745 phase=C_full_covt +[Dataset] cur_step=6745 phase=C_full_covt[Dataset] cur_step=6745 phase=C_full_covt + + 75%|██████████████████████▍ | 6745/9000 [5:38:55<2:52:38, 4.59s/it][Dataset] cur_step=6745 phase=C_full_covt[Dataset] cur_step=6745 phase=C_full_covt + +[Dataset] cur_step=6745 phase=C_full_covt +[Dataset] cur_step=6745 phase=C_full_covt +[Dataset] cur_step=6745 phase=C_full_covt + {'loss': '3.233', 'grad_norm': '9.966', 'learning_rate': '8.102e-06', 'epoch': '0.2427'} + 75%|██████████████████████▍ | 6745/9000 [5:38:55<2:52:38, 4.59s/it] {'lm_loss': '0.6614', 'visual_loss': '2.554', 'seg_loss': '0.6216', 'dino_loss': '0.9069', 'depth_loss': '0.1903', 'vggt_mse_loss': '0.1891', 'vggt_cos_loss': '0.01238', 'pidinet_loss': '0.2418', 'siglip_loss': '0.5932', 'epoch': '0.2427'} + 75%|██████████████████████▍ | 6745/9000 [5:38:58<2:52:38, 4.59s/it][Dataset] cur_step=6746 phase=C_full_covt +[Dataset] cur_step=6746 phase=C_full_covt 75%|██████████████████████▍ | 6746/9000 [5:38:59<2:45:43, 4.41s/it] +[Dataset] cur_step=6746 phase=C_full_covt +[Dataset] cur_step=6746 phase=C_full_covt +[Dataset] cur_step=6746 phase=C_full_covt[Dataset] cur_step=6746 phase=C_full_covt + +[Dataset] cur_step=6746 phase=C_full_covt +[Dataset] cur_step=6746 phase=C_full_covt + {'loss': '3.005', 'grad_norm': '5.415', 'learning_rate': '8.095e-06', 'epoch': '0.2427'} + 75%|██████████████████████▍ | 6746/9000 [5:38:59<2:45:43, 4.41s/it] {'lm_loss': '0.2629', 'visual_loss': '2.738', 'seg_loss': '0.5933', 'dino_loss': '0.9373', 'depth_loss': '0.2191', 'vggt_mse_loss': '0.2175', 'vggt_cos_loss': '0.01554', 'pidinet_loss': '0.2302', 'siglip_loss': '0.758', 'epoch': '0.2427'} + 75%|██████████████████████▍ | 6746/9000 [5:39:02<2:45:43, 4.41s/it][Dataset] cur_step=6747 phase=C_full_covt +[Dataset] cur_step=6747 phase=C_full_covt[Dataset] cur_step=6747 phase=C_full_covt[Dataset] cur_step=6747 phase=C_full_covt + + +[Dataset] cur_step=6747 phase=C_full_covt +[Dataset] cur_step=6747 phase=C_full_covt + 75%|██████████████████████▍ | 6747/9000 [5:39:05<3:02:29, 4.86s/it][Dataset] cur_step=6747 phase=C_full_covt +[Dataset] cur_step=6747 phase=C_full_covt + {'loss': '3.237', 'grad_norm': '1.825', 'learning_rate': '8.088e-06', 'epoch': '0.2427'} + 75%|██████████████████████▍ | 6747/9000 [5:39:05<3:02:29, 4.86s/it] {'lm_loss': '0.289', 'visual_loss': '2.598', 'seg_loss': '0.7254', 'dino_loss': '0.9159', 'depth_loss': '0.2269', 'vggt_mse_loss': '0.2254', 'vggt_cos_loss': '0.01529', 'pidinet_loss': '0.2111', 'siglip_loss': '0.5187', 'epoch': '0.2427'} + 75%|██████████████████████▍ | 6747/9000 [5:39:08<3:02:29, 4.86s/it][Dataset] cur_step=6748 phase=C_full_covt +[Dataset] cur_step=6748 phase=C_full_covt + 75%|██████████████████████▍ | 6748/9000 [5:39:09<2:56:04, 4.69s/it][Dataset] cur_step=6748 phase=C_full_covt +[Dataset] cur_step=6748 phase=C_full_covt +[Dataset] cur_step=6748 phase=C_full_covt[Dataset] cur_step=6748 phase=C_full_covt + +[Dataset] cur_step=6748 phase=C_full_covt +[Dataset] cur_step=6748 phase=C_full_covt + {'loss': '3.126', 'grad_norm': '2.271', 'learning_rate': '8.081e-06', 'epoch': '0.2428'} + 75%|██████████████████████▍ | 6748/9000 [5:39:09<2:56:04, 4.69s/it] {'lm_loss': '0.3449', 'visual_loss': '2.558', 'seg_loss': '0.6621', 'dino_loss': '0.9321', 'depth_loss': '0.2197', 'vggt_mse_loss': '0.2181', 'vggt_cos_loss': '0.0163', 'pidinet_loss': '0.2495', 'siglip_loss': '0.4949', 'epoch': '0.2428'} + 75%|██████████████████████▍ | 6748/9000 [5:39:13<2:56:04, 4.69s/it][Dataset] cur_step=6749 phase=C_full_covt[Dataset] cur_step=6749 phase=C_full_covt + + 75%|██████████████████████▍ | 6749/9000 [5:39:13<2:50:04, 4.53s/it][Dataset] cur_step=6749 phase=C_full_covt +[Dataset] cur_step=6749 phase=C_full_covt +[Dataset] cur_step=6749 phase=C_full_covt[Dataset] cur_step=6749 phase=C_full_covt[Dataset] cur_step=6749 phase=C_full_covt + + +[Dataset] cur_step=6749 phase=C_full_covt + {'loss': '3.215', 'grad_norm': '10.45', 'learning_rate': '8.075e-06', 'epoch': '0.2428'} + 75%|██████████████████████▍ | 6749/9000 [5:39:13<2:50:04, 4.53s/it] {'lm_loss': '0.7325', 'visual_loss': '2.644', 'seg_loss': '0.7028', 'dino_loss': '0.8939', 'depth_loss': '0.2753', 'vggt_mse_loss': '0.2735', 'vggt_cos_loss': '0.01883', 'pidinet_loss': '0.2569', 'siglip_loss': '0.5152', 'epoch': '0.2428'} + 75%|██████████████████████▍ | 6749/9000 [5:39:16<2:50:04, 4.53s/it][Dataset] cur_step=6750 phase=C_full_covt +[Dataset] cur_step=6750 phase=C_full_covt +[Dataset] cur_step=6750 phase=C_full_covt +[Dataset] cur_step=6750 phase=C_full_covt[Dataset] cur_step=6750 phase=C_full_covt 75%|██████████████████████▌ | 6750/9000 [5:39:17<2:41:44, 4.31s/it] + +[Dataset] cur_step=6750 phase=C_full_covt +[Dataset] cur_step=6750 phase=C_full_covt +[Dataset] cur_step=6750 phase=C_full_covt + {'loss': '3.415', 'grad_norm': '23.42', 'learning_rate': '8.068e-06', 'epoch': '0.2428'} + 75%|██████████████████████▌ | 6750/9000 [5:39:17<2:41:44, 4.31s/it] {'lm_loss': '0.4485', 'visual_loss': '2.735', 'seg_loss': '0.7216', 'dino_loss': '0.8969', 'depth_loss': '0.3039', 'vggt_mse_loss': '0.3015', 'vggt_cos_loss': '0.0242', 'pidinet_loss': '0.2549', 'siglip_loss': '0.5573', 'epoch': '0.2428'} + 75%|██████████████████████▌ | 6750/9000 [5:39:22<2:41:44, 4.31s/it][Dataset] cur_step=6751 phase=C_full_covt + 75%|██████████████████████▌ | 6751/9000 [5:39:23<3:00:37, 4.82s/it][Dataset] cur_step=6751 phase=C_full_covt +[Dataset] cur_step=6751 phase=C_full_covt +[Dataset] cur_step=6751 phase=C_full_covt +[Dataset] cur_step=6751 phase=C_full_covt +[Dataset] cur_step=6751 phase=C_full_covt +[Dataset] cur_step=6751 phase=C_full_covt +[Dataset] cur_step=6751 phase=C_full_covt + {'loss': '3.101', 'grad_norm': '2.227', 'learning_rate': '8.061e-06', 'epoch': '0.2429'} + 75%|██████████████████████▌ | 6751/9000 [5:39:23<3:00:37, 4.82s/it] {'lm_loss': '0.03518', 'visual_loss': '2.124', 'seg_loss': '0.5925', 'dino_loss': '0.8761', 'depth_loss': '0.19', 'vggt_mse_loss': '0.189', 'vggt_cos_loss': '0.009325', 'pidinet_loss': '0.164', 'siglip_loss': '0.3014', 'epoch': '0.2429'} + 75%|██████████████████████▌ | 6751/9000 [5:39:26<3:00:37, 4.82s/it][Dataset] cur_step=6752 phase=C_full_covt[Dataset] cur_step=6752 phase=C_full_covt + +[Dataset] cur_step=6752 phase=C_full_covt + 75%|██████████████████████▌ | 6752/9000 [5:39:27<2:52:22, 4.60s/it][Dataset] cur_step=6752 phase=C_full_covt +[Dataset] cur_step=6752 phase=C_full_covt +[Dataset] cur_step=6752 phase=C_full_covt +[Dataset] cur_step=6752 phase=C_full_covt +[Dataset] cur_step=6752 phase=C_full_covt + {'loss': '2.807', 'grad_norm': '1.715', 'learning_rate': '8.054e-06', 'epoch': '0.2429'} + 75%|██████████████████████▌ | 6752/9000 [5:39:27<2:52:22, 4.60s/it] {'lm_loss': '0.001319', 'visual_loss': '2.42', 'seg_loss': '0.6689', 'dino_loss': '0.9125', 'depth_loss': '0.1947', 'vggt_mse_loss': '0.1935', 'vggt_cos_loss': '0.01221', 'pidinet_loss': '0.188', 'siglip_loss': '0.4561', 'epoch': '0.2429'} + 75%|██████████████████████▌ | 6752/9000 [5:39:30<2:52:22, 4.60s/it][Dataset] cur_step=6753 phase=C_full_covt +[Dataset] cur_step=6753 phase=C_full_covt + 75%|██████████████████████▌ | 6753/9000 [5:39:31<2:43:55, 4.38s/it][Dataset] cur_step=6753 phase=C_full_covt[Dataset] cur_step=6753 phase=C_full_covt + +[Dataset] cur_step=6753 phase=C_full_covt +[Dataset] cur_step=6753 phase=C_full_covt +[Dataset] cur_step=6753 phase=C_full_covt +[Dataset] cur_step=6753 phase=C_full_covt + {'loss': '3.076', 'grad_norm': '2.03', 'learning_rate': '8.048e-06', 'epoch': '0.2429'} + 75%|██████████████████████▌ | 6753/9000 [5:39:31<2:43:55, 4.38s/it] {'lm_loss': '0.0009261', 'visual_loss': '2.25', 'seg_loss': '0.6884', 'dino_loss': '0.8949', 'depth_loss': '0.1676', 'vggt_mse_loss': '0.1666', 'vggt_cos_loss': '0.01035', 'pidinet_loss': '0.147', 'siglip_loss': '0.352', 'epoch': '0.2429'} + 75%|██████████████████████▌ | 6753/9000 [5:39:34<2:43:55, 4.38s/it][Dataset] cur_step=6754 phase=C_full_covt + 75%|██████████████████████▌ | 6754/9000 [5:39:35<2:39:03, 4.25s/it][Dataset] cur_step=6754 phase=C_full_covt +[Dataset] cur_step=6754 phase=C_full_covt +[Dataset] cur_step=6754 phase=C_full_covt[Dataset] cur_step=6754 phase=C_full_covt + +[Dataset] cur_step=6754 phase=C_full_covt +[Dataset] cur_step=6754 phase=C_full_covt +[Dataset] cur_step=6754 phase=C_full_covt + {'loss': '2.942', 'grad_norm': '2.452', 'learning_rate': '8.041e-06', 'epoch': '0.243'} + 75%|██████████████████████▌ | 6754/9000 [5:39:35<2:39:03, 4.25s/it] {'lm_loss': '0.3157', 'visual_loss': '2.729', 'seg_loss': '0.7246', 'dino_loss': '0.9145', 'depth_loss': '0.2288', 'vggt_mse_loss': '0.2272', 'vggt_cos_loss': '0.01561', 'pidinet_loss': '0.271', 'siglip_loss': '0.5899', 'epoch': '0.243'} + 75%|██████████████████████▌ | 6754/9000 [5:39:38<2:39:03, 4.25s/it][Dataset] cur_step=6755 phase=C_full_covt[Dataset] cur_step=6755 phase=C_full_covt[Dataset] cur_step=6755 phase=C_full_covt + + +[Dataset] cur_step=6755 phase=C_full_covt[Dataset] cur_step=6755 phase=C_full_covt + + 75%|██████████████████████▌ | 6755/9000 [5:39:39<2:34:56, 4.14s/it][Dataset] cur_step=6755 phase=C_full_covt +[Dataset] cur_step=6755 phase=C_full_covt +[Dataset] cur_step=6755 phase=C_full_covt + {'loss': '2.942', 'grad_norm': '1.743', 'learning_rate': '8.034e-06', 'epoch': '0.243'} + 75%|██████████████████████▌ | 6755/9000 [5:39:39<2:34:56, 4.14s/it] {'lm_loss': '0.5071', 'visual_loss': '2.566', 'seg_loss': '0.7394', 'dino_loss': '0.8965', 'depth_loss': '0.3182', 'vggt_mse_loss': '0.3158', 'vggt_cos_loss': '0.02371', 'pidinet_loss': '0.1905', 'siglip_loss': '0.4219', 'epoch': '0.243'} + 75%|██████████████████████▌ | 6755/9000 [5:39:42<2:34:56, 4.14s/it][Dataset] cur_step=6756 phase=C_full_covt +[Dataset] cur_step=6756 phase=C_full_covt +[Dataset] cur_step=6756 phase=C_full_covt 75%|██████████████████████▌ | 6756/9000 [5:39:43<2:35:43, 4.16s/it] +[Dataset] cur_step=6756 phase=C_full_covt +[Dataset] cur_step=6756 phase=C_full_covt +[Dataset] cur_step=6756 phase=C_full_covt +[Dataset] cur_step=6756 phase=C_full_covt +[Dataset] cur_step=6756 phase=C_full_covt + {'loss': '3.098', 'grad_norm': '2.621', 'learning_rate': '8.027e-06', 'epoch': '0.243'} + 75%|██████████████████████▌ | 6756/9000 [5:39:43<2:35:43, 4.16s/it] {'lm_loss': '0.5831', 'visual_loss': '2.457', 'seg_loss': '0.7061', 'dino_loss': '0.9181', 'depth_loss': '0.2164', 'vggt_mse_loss': '0.215', 'vggt_cos_loss': '0.0142', 'pidinet_loss': '0.2058', 'siglip_loss': '0.4105', 'epoch': '0.243'} + 75%|██████████████████████▌ | 6756/9000 [5:39:46<2:35:43, 4.16s/it][Dataset] cur_step=6757 phase=C_full_covt +[Dataset] cur_step=6757 phase=C_full_covt[Dataset] cur_step=6757 phase=C_full_covt + + 75%|██████████████████████▌ | 6757/9000 [5:39:47<2:38:53, 4.25s/it][Dataset] cur_step=6757 phase=C_full_covt[Dataset] cur_step=6757 phase=C_full_covt + +[Dataset] cur_step=6757 phase=C_full_covt +[Dataset] cur_step=6757 phase=C_full_covt +[Dataset] cur_step=6757 phase=C_full_covt + {'loss': '3.104', 'grad_norm': '2.264', 'learning_rate': '8.021e-06', 'epoch': '0.2431'} + 75%|██████████████████████▌ | 6757/9000 [5:39:47<2:38:53, 4.25s/it] {'lm_loss': '0.7734', 'visual_loss': '2.544', 'seg_loss': '0.6508', 'dino_loss': '0.9109', 'depth_loss': '0.2449', 'vggt_mse_loss': '0.2431', 'vggt_cos_loss': '0.01859', 'pidinet_loss': '0.2781', 'siglip_loss': '0.4591', 'epoch': '0.2431'} + 75%|██████████████████████▌ | 6757/9000 [5:39:50<2:38:53, 4.25s/it][Dataset] cur_step=6758 phase=C_full_covt +[Dataset] cur_step=6758 phase=C_full_covt +[Dataset] cur_step=6758 phase=C_full_covt 75%|██████████████████████▌ | 6758/9000 [5:39:51<2:32:49, 4.09s/it][Dataset] cur_step=6758 phase=C_full_covt[Dataset] cur_step=6758 phase=C_full_covt + +[Dataset] cur_step=6758 phase=C_full_covt + +[Dataset] cur_step=6758 phase=C_full_covt +[Dataset] cur_step=6758 phase=C_full_covt + {'loss': '3.086', 'grad_norm': '3.817', 'learning_rate': '8.014e-06', 'epoch': '0.2431'} + 75%|██████████████████████▌ | 6758/9000 [5:39:51<2:32:49, 4.09s/it] {'lm_loss': '0.6088', 'visual_loss': '2.601', 'seg_loss': '0.73', 'dino_loss': '0.9067', 'depth_loss': '0.2762', 'vggt_mse_loss': '0.2745', 'vggt_cos_loss': '0.01698', 'pidinet_loss': '0.2464', 'siglip_loss': '0.4421', 'epoch': '0.2431'} + 75%|██████████████████████▌ | 6758/9000 [5:39:54<2:32:49, 4.09s/it][Dataset] cur_step=6759 phase=C_full_covt +[Dataset] cur_step=6759 phase=C_full_covt +[Dataset] cur_step=6759 phase=C_full_covt[Dataset] cur_step=6759 phase=C_full_covt +[Dataset] cur_step=6759 phase=C_full_covt + +[Dataset] cur_step=6759 phase=C_full_covt + 75%|██████████████████████▌ | 6759/9000 [5:39:58<3:00:23, 4.83s/it][Dataset] cur_step=6759 phase=C_full_covt +[Dataset] cur_step=6759 phase=C_full_covt + {'loss': '3.1', 'grad_norm': '58.32', 'learning_rate': '8.007e-06', 'epoch': '0.2432'} + 75%|██████████████████████▌ | 6759/9000 [5:39:58<3:00:23, 4.83s/it] {'lm_loss': '0.03862', 'visual_loss': '2.823', 'seg_loss': '0.7454', 'dino_loss': '0.9099', 'depth_loss': '0.3304', 'vggt_mse_loss': '0.3273', 'vggt_cos_loss': '0.03137', 'pidinet_loss': '0.2221', 'siglip_loss': '0.6157', 'epoch': '0.2432'} + 75%|██████████████████████▌ | 6759/9000 [5:40:01<3:00:23, 4.83s/it][Dataset] cur_step=6760 phase=C_full_covt[Dataset] cur_step=6760 phase=C_full_covt + +[Dataset] cur_step=6760 phase=C_full_covt +[Dataset] cur_step=6760 phase=C_full_covt[Dataset] cur_step=6760 phase=C_full_covt + +[Dataset] cur_step=6760 phase=C_full_covt 75%|██████████████████████▌ | 6760/9000 [5:40:02<2:55:13, 4.69s/it] +[Dataset] cur_step=6760 phase=C_full_covt[Dataset] cur_step=6760 phase=C_full_covt + + {'loss': '3.196', 'grad_norm': '3.216', 'learning_rate': '8e-06', 'epoch': '0.2432'} + 75%|██████████████████████▌ | 6760/9000 [5:40:02<2:55:13, 4.69s/it] {'lm_loss': '0.4623', 'visual_loss': '2.568', 'seg_loss': '0.7653', 'dino_loss': '0.8966', 'depth_loss': '0.2169', 'vggt_mse_loss': '0.2154', 'vggt_cos_loss': '0.01557', 'pidinet_loss': '0.1828', 'siglip_loss': '0.5063', 'epoch': '0.2432'} + 75%|██████████████████████▌ | 6760/9000 [5:40:05<2:55:13, 4.69s/it][Dataset] cur_step=6761 phase=C_full_covt +[Dataset] cur_step=6761 phase=C_full_covt +[Dataset] cur_step=6761 phase=C_full_covt[Dataset] cur_step=6761 phase=C_full_covt + +[Dataset] cur_step=6761 phase=C_full_covt + 75%|██████████████████████▌ | 6761/9000 [5:40:06<2:46:16, 4.46s/it][Dataset] cur_step=6761 phase=C_full_covt[Dataset] cur_step=6761 phase=C_full_covt + +[Dataset] cur_step=6761 phase=C_full_covt + {'loss': '3.08', 'grad_norm': '7.66', 'learning_rate': '7.994e-06', 'epoch': '0.2432'} + 75%|██████████████████████▌ | 6761/9000 [5:40:06<2:46:16, 4.46s/it] {'lm_loss': '0.6996', 'visual_loss': '2.344', 'seg_loss': '0.6723', 'dino_loss': '0.8988', 'depth_loss': '0.2038', 'vggt_mse_loss': '0.2026', 'vggt_cos_loss': '0.01215', 'pidinet_loss': '0.1941', 'siglip_loss': '0.3754', 'epoch': '0.2432'} + 75%|██████████████████████▌ | 6761/9000 [5:40:09<2:46:16, 4.46s/it][Dataset] cur_step=6762 phase=C_full_covt[Dataset] cur_step=6762 phase=C_full_covt + +[Dataset] cur_step=6762 phase=C_full_covt + 75%|██████████████████████▌ | 6762/9000 [5:40:10<2:38:26, 4.25s/it][Dataset] cur_step=6762 phase=C_full_covt +[Dataset] cur_step=6762 phase=C_full_covt[Dataset] cur_step=6762 phase=C_full_covt + +[Dataset] cur_step=6762 phase=C_full_covt +[Dataset] cur_step=6762 phase=C_full_covt + {'loss': '3.159', 'grad_norm': '2.211', 'learning_rate': '7.987e-06', 'epoch': '0.2433'} + 75%|██████████████████████▌ | 6762/9000 [5:40:10<2:38:26, 4.25s/it] {'lm_loss': '0.6597', 'visual_loss': '2.704', 'seg_loss': '0.6773', 'dino_loss': '0.8918', 'depth_loss': '0.2718', 'vggt_mse_loss': '0.2696', 'vggt_cos_loss': '0.02193', 'pidinet_loss': '0.2904', 'siglip_loss': '0.5725', 'epoch': '0.2433'} + 75%|██████████████████████▌ | 6762/9000 [5:40:13<2:38:26, 4.25s/it][Dataset] cur_step=6763 phase=C_full_covt +[Dataset] cur_step=6763 phase=C_full_covt +[Dataset] cur_step=6763 phase=C_full_covt +[Dataset] cur_step=6763 phase=C_full_covt 75%|██████████████████████▌ | 6763/9000 [5:40:14<2:36:57, 4.21s/it] +[Dataset] cur_step=6763 phase=C_full_covt +[Dataset] cur_step=6763 phase=C_full_covt +[Dataset] cur_step=6763 phase=C_full_covt +[Dataset] cur_step=6763 phase=C_full_covt + {'loss': '2.997', 'grad_norm': '2.106', 'learning_rate': '7.98e-06', 'epoch': '0.2433'} + 75%|██████████████████████▌ | 6763/9000 [5:40:14<2:36:57, 4.21s/it] {'lm_loss': '0.004483', 'visual_loss': '2.677', 'seg_loss': '0.6897', 'dino_loss': '0.9284', 'depth_loss': '0.2102', 'vggt_mse_loss': '0.2088', 'vggt_cos_loss': '0.01412', 'pidinet_loss': '0.1894', 'siglip_loss': '0.6596', 'epoch': '0.2433'} + 75%|██████████████████████▌ | 6763/9000 [5:40:17<2:36:57, 4.21s/it][Dataset] cur_step=6764 phase=C_full_covt + 75%|██████████████████████▌ | 6764/9000 [5:40:18<2:32:24, 4.09s/it][Dataset] cur_step=6764 phase=C_full_covt +[Dataset] cur_step=6764 phase=C_full_covt +[Dataset] cur_step=6764 phase=C_full_covt +[Dataset] cur_step=6764 phase=C_full_covt +[Dataset] cur_step=6764 phase=C_full_covt +[Dataset] cur_step=6764 phase=C_full_covt +[Dataset] cur_step=6764 phase=C_full_covt + {'loss': '3.042', 'grad_norm': '1.442', 'learning_rate': '7.974e-06', 'epoch': '0.2433'} + 75%|██████████████████████▌ | 6764/9000 [5:40:18<2:32:24, 4.09s/it] {'lm_loss': '0.591', 'visual_loss': '3.027', 'seg_loss': '0.8039', 'dino_loss': '0.9287', 'depth_loss': '0.2457', 'vggt_mse_loss': '0.244', 'vggt_cos_loss': '0.01774', 'pidinet_loss': '0.254', 'siglip_loss': '0.7943', 'epoch': '0.2433'} + 75%|██████████████████████▌ | 6764/9000 [5:40:20<2:32:24, 4.09s/it][Dataset] cur_step=6765 phase=C_full_covt +[Dataset] cur_step=6765 phase=C_full_covt +[Dataset] cur_step=6765 phase=C_full_covt +[Dataset] cur_step=6765 phase=C_full_covt +[Dataset] cur_step=6765 phase=C_full_covt 75%|██████████████████████▌ | 6765/9000 [5:40:23<2:52:09, 4.62s/it][Dataset] cur_step=6765 phase=C_full_covt + +[Dataset] cur_step=6765 phase=C_full_covt +[Dataset] cur_step=6765 phase=C_full_covt + {'loss': '3.01', 'grad_norm': '1.795', 'learning_rate': '7.967e-06', 'epoch': '0.2434'} + 75%|██████████████████████▌ | 6765/9000 [5:40:23<2:52:09, 4.62s/it] {'lm_loss': '0.4338', 'visual_loss': '2.582', 'seg_loss': '0.7205', 'dino_loss': '0.9074', 'depth_loss': '0.2059', 'vggt_mse_loss': '0.2045', 'vggt_cos_loss': '0.01483', 'pidinet_loss': '0.2594', 'siglip_loss': '0.4885', 'epoch': '0.2434'} + 75%|██████████████████████▌ | 6765/9000 [5:40:27<2:52:09, 4.62s/it][Dataset] cur_step=6766 phase=C_full_covt +[Dataset] cur_step=6766 phase=C_full_covt[Dataset] cur_step=6766 phase=C_full_covt +[Dataset] cur_step=6766 phase=C_full_covt +[Dataset] cur_step=6766 phase=C_full_covt + + 75%|██████████████████████▌ | 6766/9000 [5:40:27<2:43:32, 4.39s/it][Dataset] cur_step=6766 phase=C_full_covt +[Dataset] cur_step=6766 phase=C_full_covt[Dataset] cur_step=6766 phase=C_full_covt + + {'loss': '2.897', 'grad_norm': '2.233', 'learning_rate': '7.96e-06', 'epoch': '0.2434'} + 75%|██████████████████████▌ | 6766/9000 [5:40:27<2:43:32, 4.39s/it] {'lm_loss': '0.2831', 'visual_loss': '2.625', 'seg_loss': '0.7172', 'dino_loss': '0.915', 'depth_loss': '0.1634', 'vggt_mse_loss': '0.1623', 'vggt_cos_loss': '0.01067', 'pidinet_loss': '0.289', 'siglip_loss': '0.5407', 'epoch': '0.2434'} + 75%|██████████████████████▌ | 6766/9000 [5:40:31<2:43:32, 4.39s/it][Dataset] cur_step=6767 phase=C_full_covt[Dataset] cur_step=6767 phase=C_full_covt + +[Dataset] cur_step=6767 phase=C_full_covt +[Dataset] cur_step=6767 phase=C_full_covt[Dataset] cur_step=6767 phase=C_full_covt + + 75%|██████████████████████▌ | 6767/9000 [5:40:31<2:41:17, 4.33s/it][Dataset] cur_step=6767 phase=C_full_covt +[Dataset] cur_step=6767 phase=C_full_covt +[Dataset] cur_step=6767 phase=C_full_covt + {'loss': '2.942', 'grad_norm': '3.697', 'learning_rate': '7.953e-06', 'epoch': '0.2434'} + 75%|██████████████████████▌ | 6767/9000 [5:40:31<2:41:17, 4.33s/it] {'lm_loss': '0.8445', 'visual_loss': '2.819', 'seg_loss': '0.845', 'dino_loss': '0.9271', 'depth_loss': '0.278', 'vggt_mse_loss': '0.2759', 'vggt_cos_loss': '0.02152', 'pidinet_loss': '0.2345', 'siglip_loss': '0.5347', 'epoch': '0.2434'} + 75%|██████████████████████▌ | 6767/9000 [5:40:35<2:41:17, 4.33s/it][Dataset] cur_step=6768 phase=C_full_covt +[Dataset] cur_step=6768 phase=C_full_covt +[Dataset] cur_step=6768 phase=C_full_covt +[Dataset] cur_step=6768 phase=C_full_covt + 75%|██████████████████████▌ | 6768/9000 [5:40:35<2:34:00, 4.14s/it][Dataset] cur_step=6768 phase=C_full_covt +[Dataset] cur_step=6768 phase=C_full_covt +[Dataset] cur_step=6768 phase=C_full_covt +[Dataset] cur_step=6768 phase=C_full_covt + {'loss': '3.277', 'grad_norm': '2.548', 'learning_rate': '7.947e-06', 'epoch': '0.2435'} + 75%|██████████████████████▌ | 6768/9000 [5:40:35<2:34:00, 4.14s/it] {'lm_loss': '0.01991', 'visual_loss': '2.742', 'seg_loss': '0.7214', 'dino_loss': '0.9094', 'depth_loss': '0.2907', 'vggt_mse_loss': '0.2881', 'vggt_cos_loss': '0.02526', 'pidinet_loss': '0.2448', 'siglip_loss': '0.5752', 'epoch': '0.2435'} + 75%|██████████████████████▌ | 6768/9000 [5:40:38<2:34:00, 4.14s/it][Dataset] cur_step=6769 phase=C_full_covt +[Dataset] cur_step=6769 phase=C_full_covt +[Dataset] cur_step=6769 phase=C_full_covt +[Dataset] cur_step=6769 phase=C_full_covt[Dataset] cur_step=6769 phase=C_full_covt[Dataset] cur_step=6769 phase=C_full_covt + + + 75%|██████████████████████▌ | 6769/9000 [5:40:40<2:37:24, 4.23s/it][Dataset] cur_step=6769 phase=C_full_covt +[Dataset] cur_step=6769 phase=C_full_covt + {'loss': '2.981', 'grad_norm': '1.704', 'learning_rate': '7.94e-06', 'epoch': '0.2435'} + 75%|██████████████████████▌ | 6769/9000 [5:40:40<2:37:24, 4.23s/it] {'lm_loss': '0.4389', 'visual_loss': '2.417', 'seg_loss': '0.7436', 'dino_loss': '0.9063', 'depth_loss': '0.2449', 'vggt_mse_loss': '0.2432', 'vggt_cos_loss': '0.01782', 'pidinet_loss': '0.1906', 'siglip_loss': '0.3318', 'epoch': '0.2435'} + 75%|██████████████████████▌ | 6769/9000 [5:40:42<2:37:24, 4.23s/it][Dataset] cur_step=6770 phase=C_full_covt +[Dataset] cur_step=6770 phase=C_full_covt[Dataset] cur_step=6770 phase=C_full_covt + +[Dataset] cur_step=6770 phase=C_full_covt +[Dataset] cur_step=6770 phase=C_full_covt +[Dataset] cur_step=6770 phase=C_full_covt +[Dataset] cur_step=6770 phase=C_full_covt +[Dataset] cur_step=6770 phase=C_full_covt + 75%|██████████████████████▌ | 6770/9000 [5:40:44<2:36:36, 4.21s/it] {'loss': '3.135', 'grad_norm': '2.381', 'learning_rate': '7.933e-06', 'epoch': '0.2436'} + 75%|██████████████████████▌ | 6770/9000 [5:40:44<2:36:36, 4.21s/it] {'lm_loss': '0.03711', 'visual_loss': '2.73', 'seg_loss': '0.7464', 'dino_loss': '0.8884', 'depth_loss': '0.3124', 'vggt_mse_loss': '0.3106', 'vggt_cos_loss': '0.01841', 'pidinet_loss': '0.2758', 'siglip_loss': '0.5067', 'epoch': '0.2436'} + 75%|██████████████████████▌ | 6770/9000 [5:40:47<2:36:36, 4.21s/it][Dataset] cur_step=6771 phase=C_full_covt +[Dataset] cur_step=6771 phase=C_full_covt +[Dataset] cur_step=6771 phase=C_full_covt +[Dataset] cur_step=6771 phase=C_full_covt +[Dataset] cur_step=6771 phase=C_full_covt +[Dataset] cur_step=6771 phase=C_full_covt[Dataset] cur_step=6771 phase=C_full_covt + +[Dataset] cur_step=6771 phase=C_full_covt + 75%|██████████████████████▌ | 6771/9000 [5:40:48<2:32:34, 4.11s/it] {'loss': '3.221', 'grad_norm': '3.582', 'learning_rate': '7.927e-06', 'epoch': '0.2436'} + 75%|██████████████████████▌ | 6771/9000 [5:40:48<2:32:34, 4.11s/it] {'lm_loss': '0.3711', 'visual_loss': '2.55', 'seg_loss': '0.6023', 'dino_loss': '0.8837', 'depth_loss': '0.228', 'vggt_mse_loss': '0.2265', 'vggt_cos_loss': '0.01542', 'pidinet_loss': '0.2292', 'siglip_loss': '0.6068', 'epoch': '0.2436'} + 75%|██████████████████████▌ | 6771/9000 [5:40:51<2:32:34, 4.11s/it][Dataset] cur_step=6772 phase=C_full_covt +[Dataset] cur_step=6772 phase=C_full_covt +[Dataset] cur_step=6772 phase=C_full_covt + 75%|██████████████████████▌ | 6772/9000 [5:40:53<2:51:28, 4.62s/it][Dataset] cur_step=6772 phase=C_full_covt +[Dataset] cur_step=6772 phase=C_full_covt +[Dataset] cur_step=6772 phase=C_full_covt +[Dataset] cur_step=6772 phase=C_full_covt +[Dataset] cur_step=6772 phase=C_full_covt + {'loss': '3.215', 'grad_norm': '3.995', 'learning_rate': '7.92e-06', 'epoch': '0.2436'} + 75%|██████████████████████▌ | 6772/9000 [5:40:53<2:51:28, 4.62s/it] {'lm_loss': '0.5691', 'visual_loss': '2.61', 'seg_loss': '0.6916', 'dino_loss': '0.88', 'depth_loss': '0.3008', 'vggt_mse_loss': '0.2989', 'vggt_cos_loss': '0.01894', 'pidinet_loss': '0.2486', 'siglip_loss': '0.4886', 'epoch': '0.2436'} + 75%|██████████████████████▌ | 6772/9000 [5:40:57<2:51:28, 4.62s/it][Dataset] cur_step=6773 phase=C_full_covt +[Dataset] cur_step=6773 phase=C_full_covt[Dataset] cur_step=6773 phase=C_full_covt + 75%|██████████████████████▌ | 6773/9000 [5:40:58<2:46:14, 4.48s/it] +[Dataset] cur_step=6773 phase=C_full_covt +[Dataset] cur_step=6773 phase=C_full_covt +[Dataset] cur_step=6773 phase=C_full_covt +[Dataset] cur_step=6773 phase=C_full_covt +[Dataset] cur_step=6773 phase=C_full_covt + {'loss': '3.34', 'grad_norm': '2.778', 'learning_rate': '7.913e-06', 'epoch': '0.2437'} + 75%|██████████████████████▌ | 6773/9000 [5:40:58<2:46:14, 4.48s/it] {'lm_loss': '0.02249', 'visual_loss': '2.335', 'seg_loss': '0.621', 'dino_loss': '0.8696', 'depth_loss': '0.2093', 'vggt_mse_loss': '0.2078', 'vggt_cos_loss': '0.01451', 'pidinet_loss': '0.2435', 'siglip_loss': '0.3914', 'epoch': '0.2437'} + 75%|██████████████████████▌ | 6773/9000 [5:41:01<2:46:14, 4.48s/it][Dataset] cur_step=6774 phase=C_full_covt +[Dataset] cur_step=6774 phase=C_full_covt +[Dataset] cur_step=6774 phase=C_full_covt[Dataset] cur_step=6774 phase=C_full_covt + +[Dataset] cur_step=6774 phase=C_full_covt +[Dataset] cur_step=6774 phase=C_full_covt +[Dataset] cur_step=6774 phase=C_full_covt +[Dataset] cur_step=6774 phase=C_full_covt + 75%|██████████████████████▌ | 6774/9000 [5:41:02<2:42:10, 4.37s/it] {'loss': '3.024', 'grad_norm': '2.106', 'learning_rate': '7.906e-06', 'epoch': '0.2437'} + 75%|██████████████████████▌ | 6774/9000 [5:41:02<2:42:10, 4.37s/it] {'lm_loss': '0.009356', 'visual_loss': '2.8', 'seg_loss': '0.7284', 'dino_loss': '0.8887', 'depth_loss': '0.2036', 'vggt_mse_loss': '0.202', 'vggt_cos_loss': '0.01571', 'pidinet_loss': '0.299', 'siglip_loss': '0.6804', 'epoch': '0.2437'} + 75%|██████████████████████▌ | 6774/9000 [5:41:05<2:42:10, 4.37s/it][Dataset] cur_step=6775 phase=C_full_covt[Dataset] cur_step=6775 phase=C_full_covt + +[Dataset] cur_step=6775 phase=C_full_covt[Dataset] cur_step=6775 phase=C_full_covt + +[Dataset] cur_step=6775 phase=C_full_covt +[Dataset] cur_step=6775 phase=C_full_covt + 75%|██████████████████████▌ | 6775/9000 [5:41:06<2:38:23, 4.27s/it][Dataset] cur_step=6775 phase=C_full_covt +[Dataset] cur_step=6775 phase=C_full_covt + {'loss': '2.883', 'grad_norm': '1.835', 'learning_rate': '7.9e-06', 'epoch': '0.2437'} + 75%|██████████████████████▌ | 6775/9000 [5:41:06<2:38:23, 4.27s/it] {'lm_loss': '0.6747', 'visual_loss': '2.733', 'seg_loss': '0.693', 'dino_loss': '0.9165', 'depth_loss': '0.3748', 'vggt_mse_loss': '0.3722', 'vggt_cos_loss': '0.02557', 'pidinet_loss': '0.203', 'siglip_loss': '0.5458', 'epoch': '0.2437'} + 75%|██████████████████████▌ | 6775/9000 [5:41:09<2:38:23, 4.27s/it][Dataset] cur_step=6776 phase=C_full_covt +[Dataset] cur_step=6776 phase=C_full_covt +[Dataset] cur_step=6776 phase=C_full_covt +[Dataset] cur_step=6776 phase=C_full_covt +[Dataset] cur_step=6776 phase=C_full_covt +[Dataset] cur_step=6776 phase=C_full_covt +[Dataset] cur_step=6776 phase=C_full_covt +[Dataset] cur_step=6776 phase=C_full_covt + 75%|██████████████████████▌ | 6776/9000 [5:41:12<2:58:40, 4.82s/it] {'loss': '3.316', 'grad_norm': '2', 'learning_rate': '7.893e-06', 'epoch': '0.2438'} + 75%|██████████████████████▌ | 6776/9000 [5:41:12<2:58:40, 4.82s/it] {'lm_loss': '0.6418', 'visual_loss': '2.508', 'seg_loss': '0.6357', 'dino_loss': '0.9019', 'depth_loss': '0.1964', 'vggt_mse_loss': '0.1952', 'vggt_cos_loss': '0.01269', 'pidinet_loss': '0.2138', 'siglip_loss': '0.5601', 'epoch': '0.2438'} + 75%|██████████████████████▌ | 6776/9000 [5:41:15<2:58:40, 4.82s/it][Dataset] cur_step=6777 phase=C_full_covt + 75%|██████████████████████▌ | 6777/9000 [5:41:16<2:49:08, 4.57s/it][Dataset] cur_step=6777 phase=C_full_covt +[Dataset] cur_step=6777 phase=C_full_covt +[Dataset] cur_step=6777 phase=C_full_covt +[Dataset] cur_step=6777 phase=C_full_covt +[Dataset] cur_step=6777 phase=C_full_covt +[Dataset] cur_step=6777 phase=C_full_covt +[Dataset] cur_step=6777 phase=C_full_covt + {'loss': '2.909', 'grad_norm': '1.498', 'learning_rate': '7.886e-06', 'epoch': '0.2438'} + 75%|██████████████████████▌ | 6777/9000 [5:41:16<2:49:08, 4.57s/it] {'lm_loss': '0.5916', 'visual_loss': '3.121', 'seg_loss': '0.787', 'dino_loss': '0.9219', 'depth_loss': '0.3898', 'vggt_mse_loss': '0.3871', 'vggt_cos_loss': '0.02685', 'pidinet_loss': '0.2466', 'siglip_loss': '0.7755', 'epoch': '0.2438'} + 75%|██████████████████████▌ | 6777/9000 [5:41:19<2:49:08, 4.57s/it][Dataset] cur_step=6778 phase=C_full_covt +[Dataset] cur_step=6778 phase=C_full_covt +[Dataset] cur_step=6778 phase=C_full_covt + 75%|██████████████████████▌ | 6778/9000 [5:41:20<2:41:23, 4.36s/it][Dataset] cur_step=6778 phase=C_full_covt +[Dataset] cur_step=6778 phase=C_full_covt[Dataset] cur_step=6778 phase=C_full_covt + +[Dataset] cur_step=6778 phase=C_full_covt +[Dataset] cur_step=6778 phase=C_full_covt + {'loss': '2.997', 'grad_norm': '2.021', 'learning_rate': '7.88e-06', 'epoch': '0.2438'} + 75%|██████████████████████▌ | 6778/9000 [5:41:20<2:41:23, 4.36s/it] {'lm_loss': '0.5114', 'visual_loss': '2.806', 'seg_loss': '0.7349', 'dino_loss': '0.9147', 'depth_loss': '0.3031', 'vggt_mse_loss': '0.3006', 'vggt_cos_loss': '0.02449', 'pidinet_loss': '0.2266', 'siglip_loss': '0.6264', 'epoch': '0.2438'} + 75%|██████████████████████▌ | 6778/9000 [5:41:23<2:41:23, 4.36s/it][Dataset] cur_step=6779 phase=C_full_covt +[Dataset] cur_step=6779 phase=C_full_covt +[Dataset] cur_step=6779 phase=C_full_covt 75%|██████████████████████▌ | 6779/9000 [5:41:26<3:00:48, 4.88s/it] +[Dataset] cur_step=6779 phase=C_full_covt +[Dataset] cur_step=6779 phase=C_full_covt +[Dataset] cur_step=6779 phase=C_full_covt +[Dataset] cur_step=6779 phase=C_full_covt +[Dataset] cur_step=6779 phase=C_full_covt + {'loss': '3.142', 'grad_norm': '1.841', 'learning_rate': '7.873e-06', 'epoch': '0.2439'} + 75%|██████████████████████▌ | 6779/9000 [5:41:26<3:00:48, 4.88s/it] {'lm_loss': '0.9683', 'visual_loss': '2.412', 'seg_loss': '0.5826', 'dino_loss': '0.8945', 'depth_loss': '0.2267', 'vggt_mse_loss': '0.2254', 'vggt_cos_loss': '0.01336', 'pidinet_loss': '0.2081', 'siglip_loss': '0.5001', 'epoch': '0.2439'} + 75%|██████████████████████▌ | 6779/9000 [5:41:30<3:00:48, 4.88s/it][Dataset] cur_step=6780 phase=C_full_covt +[Dataset] cur_step=6780 phase=C_full_covt + 75%|██████████████████████▌ | 6780/9000 [5:41:30<2:53:02, 4.68s/it][Dataset] cur_step=6780 phase=C_full_covt[Dataset] cur_step=6780 phase=C_full_covt + +[Dataset] cur_step=6780 phase=C_full_covt +[Dataset] cur_step=6780 phase=C_full_covt +[Dataset] cur_step=6780 phase=C_full_covt +[Dataset] cur_step=6780 phase=C_full_covt + {'loss': '3.348', 'grad_norm': '2.394', 'learning_rate': '7.866e-06', 'epoch': '0.2439'} + 75%|██████████████████████▌ | 6780/9000 [5:41:30<2:53:02, 4.68s/it] {'lm_loss': '0.1706', 'visual_loss': '2.524', 'seg_loss': '0.6295', 'dino_loss': '0.928', 'depth_loss': '0.2044', 'vggt_mse_loss': '0.2031', 'vggt_cos_loss': '0.01207', 'pidinet_loss': '0.1882', 'siglip_loss': '0.5737', 'epoch': '0.2439'} + 75%|██████████████████████▌ | 6780/9000 [5:41:33<2:53:02, 4.68s/it][Dataset] cur_step=6781 phase=C_full_covt +[Dataset] cur_step=6781 phase=C_full_covt +[Dataset] cur_step=6781 phase=C_full_covt +[Dataset] cur_step=6781 phase=C_full_covt +[Dataset] cur_step=6781 phase=C_full_covt +[Dataset] cur_step=6781 phase=C_full_covt +[Dataset] cur_step=6781 phase=C_full_covt +[Dataset] cur_step=6781 phase=C_full_covt + 75%|██████████████████████▌ | 6781/9000 [5:41:34<2:46:31, 4.50s/it] {'loss': '3.161', 'grad_norm': '1.918', 'learning_rate': '7.86e-06', 'epoch': '0.2439'} + 75%|██████████████████████▌ | 6781/9000 [5:41:34<2:46:31, 4.50s/it] {'lm_loss': '0.005039', 'visual_loss': '2.827', 'seg_loss': '0.765', 'dino_loss': '0.9359', 'depth_loss': '0.3643', 'vggt_mse_loss': '0.3613', 'vggt_cos_loss': '0.03017', 'pidinet_loss': '0.2125', 'siglip_loss': '0.5497', 'epoch': '0.2439'} + 75%|██████████████████████▌ | 6781/9000 [5:41:37<2:46:31, 4.50s/it][Dataset] cur_step=6782 phase=C_full_covt +[Dataset] cur_step=6782 phase=C_full_covt[Dataset] cur_step=6782 phase=C_full_covt + +[Dataset] cur_step=6782 phase=C_full_covt +[Dataset] cur_step=6782 phase=C_full_covt 75%|██████████████████████▌ | 6782/9000 [5:41:38<2:37:51, 4.27s/it] +[Dataset] cur_step=6782 phase=C_full_covt +[Dataset] cur_step=6782 phase=C_full_covt +[Dataset] cur_step=6782 phase=C_full_covt + {'loss': '3.092', 'grad_norm': '2.925', 'learning_rate': '7.853e-06', 'epoch': '0.244'} + 75%|██████████████████████▌ | 6782/9000 [5:41:38<2:37:51, 4.27s/it] {'lm_loss': '0.8173', 'visual_loss': '2.637', 'seg_loss': '0.6037', 'dino_loss': '0.8875', 'depth_loss': '0.2944', 'vggt_mse_loss': '0.2921', 'vggt_cos_loss': '0.02255', 'pidinet_loss': '0.2333', 'siglip_loss': '0.618', 'epoch': '0.244'} + 75%|██████████████████████▌ | 6782/9000 [5:41:41<2:37:51, 4.27s/it][Dataset] cur_step=6783 phase=C_full_covt[Dataset] cur_step=6783 phase=C_full_covt + +[Dataset] cur_step=6783 phase=C_full_covt +[Dataset] cur_step=6783 phase=C_full_covt +[Dataset] cur_step=6783 phase=C_full_covt[Dataset] cur_step=6783 phase=C_full_covt[Dataset] cur_step=6783 phase=C_full_covt + + +[Dataset] cur_step=6783 phase=C_full_covt + 75%|██████████████████████▌ | 6783/9000 [5:41:42<2:32:53, 4.14s/it] {'loss': '3.144', 'grad_norm': '1.577', 'learning_rate': '7.846e-06', 'epoch': '0.244'} + 75%|██████████████████████▌ | 6783/9000 [5:41:42<2:32:53, 4.14s/it] {'lm_loss': '0.8915', 'visual_loss': '2.693', 'seg_loss': '0.7585', 'dino_loss': '0.9286', 'depth_loss': '0.2832', 'vggt_mse_loss': '0.2806', 'vggt_cos_loss': '0.0257', 'pidinet_loss': '0.1968', 'siglip_loss': '0.526', 'epoch': '0.244'} + 75%|██████████████████████▌ | 6783/9000 [5:41:45<2:32:53, 4.14s/it][Dataset] cur_step=6784 phase=C_full_covt + 75%|██████████████████████▌ | 6784/9000 [5:41:46<2:33:29, 4.16s/it][Dataset] cur_step=6784 phase=C_full_covt +[Dataset] cur_step=6784 phase=C_full_covt[Dataset] cur_step=6784 phase=C_full_covt + +[Dataset] cur_step=6784 phase=C_full_covt +[Dataset] cur_step=6784 phase=C_full_covt +[Dataset] cur_step=6784 phase=C_full_covt[Dataset] cur_step=6784 phase=C_full_covt + + {'loss': '3.244', 'grad_norm': '1.799', 'learning_rate': '7.84e-06', 'epoch': '0.2441'} + 75%|██████████████████████▌ | 6784/9000 [5:41:46<2:33:29, 4.16s/it] {'lm_loss': '0.5613', 'visual_loss': '2.671', 'seg_loss': '0.7888', 'dino_loss': '0.9039', 'depth_loss': '0.252', 'vggt_mse_loss': '0.2504', 'vggt_cos_loss': '0.01623', 'pidinet_loss': '0.2169', 'siglip_loss': '0.5094', 'epoch': '0.2441'} + 75%|██████████████████████▌ | 6784/9000 [5:41:49<2:33:29, 4.16s/it][Dataset] cur_step=6785 phase=C_full_covt[Dataset] cur_step=6785 phase=C_full_covt +[Dataset] cur_step=6785 phase=C_full_covt + + 75%|██████████████████████▌ | 6785/9000 [5:41:50<2:33:20, 4.15s/it][Dataset] cur_step=6785 phase=C_full_covt +[Dataset] cur_step=6785 phase=C_full_covt[Dataset] cur_step=6785 phase=C_full_covt[Dataset] cur_step=6785 phase=C_full_covt + + +[Dataset] cur_step=6785 phase=C_full_covt + {'loss': '3.18', 'grad_norm': '1.74', 'learning_rate': '7.833e-06', 'epoch': '0.2441'} + 75%|██████████████████████▌ | 6785/9000 [5:41:50<2:33:20, 4.15s/it] {'lm_loss': '0.4602', 'visual_loss': '2.562', 'seg_loss': '0.7045', 'dino_loss': '0.8966', 'depth_loss': '0.2063', 'vggt_mse_loss': '0.2049', 'vggt_cos_loss': '0.01388', 'pidinet_loss': '0.1934', 'siglip_loss': '0.5611', 'epoch': '0.2441'} + 75%|██████████████████████▌ | 6785/9000 [5:41:53<2:33:20, 4.15s/it][Dataset] cur_step=6786 phase=C_full_covt +[Dataset] cur_step=6786 phase=C_full_covt[Dataset] cur_step=6786 phase=C_full_covt + + 75%|██████████████████████▌ | 6786/9000 [5:41:54<2:35:01, 4.20s/it][Dataset] cur_step=6786 phase=C_full_covt[Dataset] cur_step=6786 phase=C_full_covt + +[Dataset] cur_step=6786 phase=C_full_covt +[Dataset] cur_step=6786 phase=C_full_covt +[Dataset] cur_step=6786 phase=C_full_covt + {'loss': '3.151', 'grad_norm': '2.272', 'learning_rate': '7.826e-06', 'epoch': '0.2441'} + 75%|██████████████████████▌ | 6786/9000 [5:41:54<2:35:01, 4.20s/it] {'lm_loss': '0.3739', 'visual_loss': '2.785', 'seg_loss': '0.7724', 'dino_loss': '0.9213', 'depth_loss': '0.3998', 'vggt_mse_loss': '0.3968', 'vggt_cos_loss': '0.0297', 'pidinet_loss': '0.2451', 'siglip_loss': '0.4468', 'epoch': '0.2441'} + 75%|██████████████████████▌ | 6786/9000 [5:41:58<2:35:01, 4.20s/it][Dataset] cur_step=6787 phase=C_full_covt[Dataset] cur_step=6787 phase=C_full_covt + + 75%|██████████████████████▌ | 6787/9000 [5:41:58<2:33:24, 4.16s/it][Dataset] cur_step=6787 phase=C_full_covt +[Dataset] cur_step=6787 phase=C_full_covt +[Dataset] cur_step=6787 phase=C_full_covt[Dataset] cur_step=6787 phase=C_full_covt + +[Dataset] cur_step=6787 phase=C_full_covt +[Dataset] cur_step=6787 phase=C_full_covt + {'loss': '2.994', 'grad_norm': '3.983', 'learning_rate': '7.819e-06', 'epoch': '0.2442'} + 75%|██████████████████████▌ | 6787/9000 [5:41:58<2:33:24, 4.16s/it] {'lm_loss': '0.5319', 'visual_loss': '2.332', 'seg_loss': '0.6247', 'dino_loss': '0.9038', 'depth_loss': '0.2389', 'vggt_mse_loss': '0.2373', 'vggt_cos_loss': '0.01615', 'pidinet_loss': '0.2152', 'siglip_loss': '0.349', 'epoch': '0.2442'} + 75%|██████████████████████▌ | 6787/9000 [5:42:02<2:33:24, 4.16s/it][Dataset] cur_step=6788 phase=C_full_covt +[Dataset] cur_step=6788 phase=C_full_covt 75%|██████████████████████▋ | 6788/9000 [5:42:03<2:34:48, 4.20s/it] +[Dataset] cur_step=6788 phase=C_full_covt +[Dataset] cur_step=6788 phase=C_full_covt +[Dataset] cur_step=6788 phase=C_full_covt +[Dataset] cur_step=6788 phase=C_full_covt +[Dataset] cur_step=6788 phase=C_full_covt +[Dataset] cur_step=6788 phase=C_full_covt + {'loss': '3.067', 'grad_norm': '2.803', 'learning_rate': '7.813e-06', 'epoch': '0.2442'} + 75%|██████████████████████▋ | 6788/9000 [5:42:03<2:34:48, 4.20s/it] {'lm_loss': '0.2877', 'visual_loss': '2.816', 'seg_loss': '0.7074', 'dino_loss': '0.8987', 'depth_loss': '0.3526', 'vggt_mse_loss': '0.3502', 'vggt_cos_loss': '0.02434', 'pidinet_loss': '0.1965', 'siglip_loss': '0.6607', 'epoch': '0.2442'} + 75%|██████████████████████▋ | 6788/9000 [5:42:06<2:34:48, 4.20s/it][Dataset] cur_step=6789 phase=C_full_covt +[Dataset] cur_step=6789 phase=C_full_covt +[Dataset] cur_step=6789 phase=C_full_covt +[Dataset] cur_step=6789 phase=C_full_covt +[Dataset] cur_step=6789 phase=C_full_covt[Dataset] cur_step=6789 phase=C_full_covt +[Dataset] cur_step=6789 phase=C_full_covt + +[Dataset] cur_step=6789 phase=C_full_covt + 75%|██████████████████████▋ | 6789/9000 [5:42:06<2:31:03, 4.10s/it] {'loss': '3.08', 'grad_norm': '3.131', 'learning_rate': '7.806e-06', 'epoch': '0.2442'} + 75%|██████████████████████▋ | 6789/9000 [5:42:07<2:31:03, 4.10s/it] {'lm_loss': '0.8055', 'visual_loss': '2.728', 'seg_loss': '0.788', 'dino_loss': '0.9291', 'depth_loss': '0.2242', 'vggt_mse_loss': '0.2227', 'vggt_cos_loss': '0.01413', 'pidinet_loss': '0.2524', 'siglip_loss': '0.5341', 'epoch': '0.2442'} + 75%|██████████████████████▋ | 6789/9000 [5:42:10<2:31:03, 4.10s/it][Dataset] cur_step=6790 phase=C_full_covt +[Dataset] cur_step=6790 phase=C_full_covt +[Dataset] cur_step=6790 phase=C_full_covt +[Dataset] cur_step=6790 phase=C_full_covt[Dataset] cur_step=6790 phase=C_full_covt[Dataset] cur_step=6790 phase=C_full_covt + + +[Dataset] cur_step=6790 phase=C_full_covt + 75%|██████████████████████▋ | 6790/9000 [5:42:11<2:33:08, 4.16s/it][Dataset] cur_step=6790 phase=C_full_covt + {'loss': '3.146', 'grad_norm': '14.79', 'learning_rate': '7.799e-06', 'epoch': '0.2443'} + 75%|██████████████████████▋ | 6790/9000 [5:42:11<2:33:08, 4.16s/it] {'lm_loss': '0.94', 'visual_loss': '2.759', 'seg_loss': '0.7874', 'dino_loss': '0.9112', 'depth_loss': '0.2299', 'vggt_mse_loss': '0.2285', 'vggt_cos_loss': '0.0141', 'pidinet_loss': '0.2466', 'siglip_loss': '0.5844', 'epoch': '0.2443'} + 75%|██████████████████████▋ | 6790/9000 [5:42:15<2:33:08, 4.16s/it][Dataset] cur_step=6791 phase=C_full_covt +[Dataset] cur_step=6791 phase=C_full_covt[Dataset] cur_step=6791 phase=C_full_covt + +[Dataset] cur_step=6791 phase=C_full_covt + 75%|██████████████████████▋ | 6791/9000 [5:42:15<2:33:41, 4.17s/it][Dataset] cur_step=6791 phase=C_full_covt +[Dataset] cur_step=6791 phase=C_full_covt[Dataset] cur_step=6791 phase=C_full_covt + +[Dataset] cur_step=6791 phase=C_full_covt + {'loss': '3.156', 'grad_norm': '2.699', 'learning_rate': '7.793e-06', 'epoch': '0.2443'} + 75%|██████████████████████▋ | 6791/9000 [5:42:15<2:33:41, 4.17s/it] {'lm_loss': '0.5037', 'visual_loss': '2.921', 'seg_loss': '0.7014', 'dino_loss': '0.8883', 'depth_loss': '0.4219', 'vggt_mse_loss': '0.4179', 'vggt_cos_loss': '0.03915', 'pidinet_loss': '0.2589', 'siglip_loss': '0.6504', 'epoch': '0.2443'} + 75%|██████████████████████▋ | 6791/9000 [5:42:18<2:33:41, 4.17s/it][Dataset] cur_step=6792 phase=C_full_covt +[Dataset] cur_step=6792 phase=C_full_covt[Dataset] cur_step=6792 phase=C_full_covt +[Dataset] cur_step=6792 phase=C_full_covt + +[Dataset] cur_step=6792 phase=C_full_covt +[Dataset] cur_step=6792 phase=C_full_covt +[Dataset] cur_step=6792 phase=C_full_covt + 75%|██████████████████████▋ | 6792/9000 [5:42:19<2:36:48, 4.26s/it][Dataset] cur_step=6792 phase=C_full_covt + {'loss': '3.394', 'grad_norm': '1.762', 'learning_rate': '7.786e-06', 'epoch': '0.2443'} + 75%|██████████████████████▋ | 6792/9000 [5:42:19<2:36:48, 4.26s/it] {'lm_loss': '0.8024', 'visual_loss': '2.868', 'seg_loss': '0.7549', 'dino_loss': '0.9342', 'depth_loss': '0.2336', 'vggt_mse_loss': '0.2317', 'vggt_cos_loss': '0.01923', 'pidinet_loss': '0.2734', 'siglip_loss': '0.6719', 'epoch': '0.2443'} + 75%|██████████████████████▋ | 6792/9000 [5:42:23<2:36:48, 4.26s/it][Dataset] cur_step=6793 phase=C_full_covt +[Dataset] cur_step=6793 phase=C_full_covt +[Dataset] cur_step=6793 phase=C_full_covt[Dataset] cur_step=6793 phase=C_full_covt +[Dataset] cur_step=6793 phase=C_full_covt + +[Dataset] cur_step=6793 phase=C_full_covt +[Dataset] cur_step=6793 phase=C_full_covt + 75%|██████████████████████▋ | 6793/9000 [5:42:23<2:32:07, 4.14s/it][Dataset] cur_step=6793 phase=C_full_covt + {'loss': '3.061', 'grad_norm': '2.336', 'learning_rate': '7.779e-06', 'epoch': '0.2444'} + 75%|██████████████████████▋ | 6793/9000 [5:42:23<2:32:07, 4.14s/it] {'lm_loss': '0.8291', 'visual_loss': '2.818', 'seg_loss': '0.709', 'dino_loss': '0.9222', 'depth_loss': '0.3262', 'vggt_mse_loss': '0.3241', 'vggt_cos_loss': '0.02101', 'pidinet_loss': '0.2215', 'siglip_loss': '0.6394', 'epoch': '0.2444'} + 75%|██████████████████████▋ | 6793/9000 [5:42:26<2:32:07, 4.14s/it][Dataset] cur_step=6794 phase=C_full_covt[Dataset] cur_step=6794 phase=C_full_covt + +[Dataset] cur_step=6794 phase=C_full_covt[Dataset] cur_step=6794 phase=C_full_covt + +[Dataset] cur_step=6794 phase=C_full_covt +[Dataset] cur_step=6794 phase=C_full_covt +[Dataset] cur_step=6794 phase=C_full_covt +[Dataset] cur_step=6794 phase=C_full_covt + 75%|██████████████████████▋ | 6794/9000 [5:42:27<2:27:12, 4.00s/it] {'loss': '3.204', 'grad_norm': '8.233', 'learning_rate': '7.773e-06', 'epoch': '0.2444'} + 75%|██████████████████████▋ | 6794/9000 [5:42:27<2:27:12, 4.00s/it] {'lm_loss': '0.5031', 'visual_loss': '2.518', 'seg_loss': '0.68', 'dino_loss': '0.902', 'depth_loss': '0.2152', 'vggt_mse_loss': '0.2138', 'vggt_cos_loss': '0.01323', 'pidinet_loss': '0.2059', 'siglip_loss': '0.5146', 'epoch': '0.2444'} + 75%|██████████████████████▋ | 6794/9000 [5:42:31<2:27:12, 4.00s/it][Dataset] cur_step=6795 phase=C_full_covt +[Dataset] cur_step=6795 phase=C_full_covt +[Dataset] cur_step=6795 phase=C_full_covt +[Dataset] cur_step=6795 phase=C_full_covt +[Dataset] cur_step=6795 phase=C_full_covt + 76%|██████████████████████▋ | 6795/9000 [5:42:31<2:29:34, 4.07s/it][Dataset] cur_step=6795 phase=C_full_covt +[Dataset] cur_step=6795 phase=C_full_covt +[Dataset] cur_step=6795 phase=C_full_covt + {'loss': '2.933', 'grad_norm': '2.093', 'learning_rate': '7.766e-06', 'epoch': '0.2445'} + 76%|██████████████████████▋ | 6795/9000 [5:42:31<2:29:34, 4.07s/it] {'lm_loss': '0.8037', 'visual_loss': '2.942', 'seg_loss': '0.7263', 'dino_loss': '0.9139', 'depth_loss': '0.3696', 'vggt_mse_loss': '0.3669', 'vggt_cos_loss': '0.0272', 'pidinet_loss': '0.2545', 'siglip_loss': '0.6781', 'epoch': '0.2445'} + 76%|██████████████████████▋ | 6795/9000 [5:42:35<2:29:34, 4.07s/it][Dataset] cur_step=6796 phase=C_full_covt +[Dataset] cur_step=6796 phase=C_full_covt +[Dataset] cur_step=6796 phase=C_full_covt +[Dataset] cur_step=6796 phase=C_full_covt +[Dataset] cur_step=6796 phase=C_full_covt +[Dataset] cur_step=6796 phase=C_full_covt +[Dataset] cur_step=6796 phase=C_full_covt +[Dataset] cur_step=6796 phase=C_full_covt + 76%|██████████████████████▋ | 6796/9000 [5:42:35<2:30:08, 4.09s/it] {'loss': '3.205', 'grad_norm': '7.749', 'learning_rate': '7.76e-06', 'epoch': '0.2445'} + 76%|██████████████████████▋ | 6796/9000 [5:42:35<2:30:08, 4.09s/it] {'lm_loss': '0.3197', 'visual_loss': '2.75', 'seg_loss': '0.7788', 'dino_loss': '0.9453', 'depth_loss': '0.2566', 'vggt_mse_loss': '0.2546', 'vggt_cos_loss': '0.02019', 'pidinet_loss': '0.2546', 'siglip_loss': '0.5142', 'epoch': '0.2445'} + 76%|██████████████████████▋ | 6796/9000 [5:42:38<2:30:08, 4.09s/it][Dataset] cur_step=6797 phase=C_full_covt +[Dataset] cur_step=6797 phase=C_full_covt +[Dataset] cur_step=6797 phase=C_full_covt +[Dataset] cur_step=6797 phase=C_full_covt +[Dataset] cur_step=6797 phase=C_full_covt +[Dataset] cur_step=6797 phase=C_full_covt +[Dataset] cur_step=6797 phase=C_full_covt + 76%|██████████████████████▋ | 6797/9000 [5:42:39<2:28:37, 4.05s/it][Dataset] cur_step=6797 phase=C_full_covt + {'loss': '3.057', 'grad_norm': '1.844', 'learning_rate': '7.753e-06', 'epoch': '0.2445'} + 76%|██████████████████████▋ | 6797/9000 [5:42:39<2:28:37, 4.05s/it] {'lm_loss': '0.01664', 'visual_loss': '2.443', 'seg_loss': '0.6857', 'dino_loss': '0.8914', 'depth_loss': '0.2142', 'vggt_mse_loss': '0.2125', 'vggt_cos_loss': '0.017', 'pidinet_loss': '0.2017', 'siglip_loss': '0.4498', 'epoch': '0.2445'} + 76%|██████████████████████▋ | 6797/9000 [5:42:42<2:28:37, 4.05s/it][Dataset] cur_step=6798 phase=C_full_covt +[Dataset] cur_step=6798 phase=C_full_covt +[Dataset] cur_step=6798 phase=C_full_covt +[Dataset] cur_step=6798 phase=C_full_covt[Dataset] cur_step=6798 phase=C_full_covt +[Dataset] cur_step=6798 phase=C_full_covt + 76%|██████████████████████▋ | 6798/9000 [5:42:43<2:29:09, 4.06s/it] +[Dataset] cur_step=6798 phase=C_full_covt +[Dataset] cur_step=6798 phase=C_full_covt + {'loss': '2.834', 'grad_norm': '1.865', 'learning_rate': '7.746e-06', 'epoch': '0.2446'} + 76%|██████████████████████▋ | 6798/9000 [5:42:43<2:29:09, 4.06s/it] {'lm_loss': '0.824', 'visual_loss': '2.723', 'seg_loss': '0.6252', 'dino_loss': '0.9219', 'depth_loss': '0.4175', 'vggt_mse_loss': '0.4134', 'vggt_cos_loss': '0.04078', 'pidinet_loss': '0.2404', 'siglip_loss': '0.5185', 'epoch': '0.2446'} + 76%|██████████████████████▋ | 6798/9000 [5:42:47<2:29:09, 4.06s/it][Dataset] cur_step=6799 phase=C_full_covt[Dataset] cur_step=6799 phase=C_full_covt + +[Dataset] cur_step=6799 phase=C_full_covt[Dataset] cur_step=6799 phase=C_full_covt + + 76%|██████████████████████▋ | 6799/9000 [5:42:48<2:29:16, 4.07s/it][Dataset] cur_step=6799 phase=C_full_covt +[Dataset] cur_step=6799 phase=C_full_covt +[Dataset] cur_step=6799 phase=C_full_covt +[Dataset] cur_step=6799 phase=C_full_covt + {'loss': '2.782', 'grad_norm': '1.417', 'learning_rate': '7.74e-06', 'epoch': '0.2446'} + 76%|██████████████████████▋ | 6799/9000 [5:42:48<2:29:16, 4.07s/it] {'lm_loss': '0.5257', 'visual_loss': '2.845', 'seg_loss': '0.7255', 'dino_loss': '0.9396', 'depth_loss': '0.3345', 'vggt_mse_loss': '0.3322', 'vggt_cos_loss': '0.02214', 'pidinet_loss': '0.22', 'siglip_loss': '0.6254', 'epoch': '0.2446'} + 76%|██████████████████████▋ | 6799/9000 [5:42:51<2:29:16, 4.07s/it][Dataset] cur_step=6800 phase=C_full_covt +[Dataset] cur_step=6800 phase=C_full_covt +[Dataset] cur_step=6800 phase=C_full_covt[Dataset] cur_step=6800 phase=C_full_covt + 76%|██████████████████████▋ | 6800/9000 [5:42:52<2:31:40, 4.14s/it] +[Dataset] cur_step=6800 phase=C_full_covt +[Dataset] cur_step=6800 phase=C_full_covt +[Dataset] cur_step=6800 phase=C_full_covt +[Dataset] cur_step=6800 phase=C_full_covt + {'loss': '3.193', 'grad_norm': '2.567', 'learning_rate': '7.733e-06', 'epoch': '0.2446'} + 76%|██████████████████████▋ | 6800/9000 [5:42:52<2:31:40, 4.14s/it] {'lm_loss': '0.01017', 'visual_loss': '2.773', 'seg_loss': '0.7066', 'dino_loss': '0.8988', 'depth_loss': '0.2249', 'vggt_mse_loss': '0.2234', 'vggt_cos_loss': '0.01489', 'pidinet_loss': '0.2943', 'siglip_loss': '0.6485', 'epoch': '0.2446'} + 76%|██████████████████████▋ | 6800/9000 [5:42:55<2:31:40, 4.14s/it][Dataset] cur_step=6801 phase=C_full_covt +[Dataset] cur_step=6801 phase=C_full_covt[Dataset] cur_step=6801 phase=C_full_covt + +[Dataset] cur_step=6801 phase=C_full_covt +[Dataset] cur_step=6801 phase=C_full_covt +[Dataset] cur_step=6801 phase=C_full_covt +[Dataset] cur_step=6801 phase=C_full_covt +[Dataset] cur_step=6801 phase=C_full_covt + 76%|██████████████████████▋ | 6801/9000 [5:42:56<2:31:07, 4.12s/it] {'loss': '3.04', 'grad_norm': '1.682', 'learning_rate': '7.726e-06', 'epoch': '0.2447'} + 76%|██████████████████████▋ | 6801/9000 [5:42:56<2:31:07, 4.12s/it] {'lm_loss': '0.007375', 'visual_loss': '2.824', 'seg_loss': '0.7826', 'dino_loss': '0.9076', 'depth_loss': '0.204', 'vggt_mse_loss': '0.2025', 'vggt_cos_loss': '0.01426', 'pidinet_loss': '0.2018', 'siglip_loss': '0.7283', 'epoch': '0.2447'} + 76%|██████████████████████▋ | 6801/9000 [5:42:59<2:31:07, 4.12s/it][Dataset] cur_step=6802 phase=C_full_covt +[Dataset] cur_step=6802 phase=C_full_covt +[Dataset] cur_step=6802 phase=C_full_covt +[Dataset] cur_step=6802 phase=C_full_covt[Dataset] cur_step=6802 phase=C_full_covt + +[Dataset] cur_step=6802 phase=C_full_covt +[Dataset] cur_step=6802 phase=C_full_covt + 76%|██████████████████████▋ | 6802/9000 [5:43:00<2:32:02, 4.15s/it][Dataset] cur_step=6802 phase=C_full_covt + {'loss': '3.208', 'grad_norm': '1.854', 'learning_rate': '7.72e-06', 'epoch': '0.2447'} + 76%|██████████████████████▋ | 6802/9000 [5:43:00<2:32:02, 4.15s/it] {'lm_loss': '0.3641', 'visual_loss': '2.683', 'seg_loss': '0.8167', 'dino_loss': '0.9239', 'depth_loss': '0.2198', 'vggt_mse_loss': '0.2183', 'vggt_cos_loss': '0.01538', 'pidinet_loss': '0.2348', 'siglip_loss': '0.4879', 'epoch': '0.2447'} + 76%|██████████████████████▋ | 6802/9000 [5:43:04<2:32:02, 4.15s/it][Dataset] cur_step=6803 phase=C_full_covt +[Dataset] cur_step=6803 phase=C_full_covt +[Dataset] cur_step=6803 phase=C_full_covt +[Dataset] cur_step=6803 phase=C_full_covt + 76%|██████████████████████▋ | 6803/9000 [5:43:04<2:28:53, 4.07s/it][Dataset] cur_step=6803 phase=C_full_covt +[Dataset] cur_step=6803 phase=C_full_covt +[Dataset] cur_step=6803 phase=C_full_covt[Dataset] cur_step=6803 phase=C_full_covt + + {'loss': '3.342', 'grad_norm': '1.577', 'learning_rate': '7.713e-06', 'epoch': '0.2447'} + 76%|██████████████████████▋ | 6803/9000 [5:43:04<2:28:53, 4.07s/it] {'lm_loss': '0.4725', 'visual_loss': '2.789', 'seg_loss': '0.8288', 'dino_loss': '0.8993', 'depth_loss': '0.2038', 'vggt_mse_loss': '0.2022', 'vggt_cos_loss': '0.01572', 'pidinet_loss': '0.2575', 'siglip_loss': '0.5995', 'epoch': '0.2447'} + 76%|██████████████████████▋ | 6803/9000 [5:43:07<2:28:53, 4.07s/it][Dataset] cur_step=6804 phase=C_full_covt[Dataset] cur_step=6804 phase=C_full_covt + +[Dataset] cur_step=6804 phase=C_full_covt[Dataset] cur_step=6804 phase=C_full_covt + +[Dataset] cur_step=6804 phase=C_full_covt + 76%|██████████████████████▋ | 6804/9000 [5:43:08<2:26:09, 3.99s/it][Dataset] cur_step=6804 phase=C_full_covt +[Dataset] cur_step=6804 phase=C_full_covt +[Dataset] cur_step=6804 phase=C_full_covt + {'loss': '3.287', 'grad_norm': '10.8', 'learning_rate': '7.706e-06', 'epoch': '0.2448'} + 76%|██████████████████████▋ | 6804/9000 [5:43:08<2:26:09, 3.99s/it] {'lm_loss': '0.7268', 'visual_loss': '2.827', 'seg_loss': '0.6398', 'dino_loss': '0.9155', 'depth_loss': '0.3053', 'vggt_mse_loss': '0.3032', 'vggt_cos_loss': '0.0213', 'pidinet_loss': '0.2858', 'siglip_loss': '0.6809', 'epoch': '0.2448'} + 76%|██████████████████████▋ | 6804/9000 [5:43:12<2:26:09, 3.99s/it][Dataset] cur_step=6805 phase=C_full_covt + 76%|██████████████████████▋ | 6805/9000 [5:43:12<2:29:21, 4.08s/it][Dataset] cur_step=6805 phase=C_full_covt +[Dataset] cur_step=6805 phase=C_full_covt +[Dataset] cur_step=6805 phase=C_full_covt +[Dataset] cur_step=6805 phase=C_full_covt +[Dataset] cur_step=6805 phase=C_full_covt +[Dataset] cur_step=6805 phase=C_full_covt +[Dataset] cur_step=6805 phase=C_full_covt + {'loss': '3.035', 'grad_norm': '1.981', 'learning_rate': '7.7e-06', 'epoch': '0.2448'} + 76%|██████████████████████▋ | 6805/9000 [5:43:12<2:29:21, 4.08s/it] {'lm_loss': '0.6295', 'visual_loss': '2.793', 'seg_loss': '0.8774', 'dino_loss': '0.901', 'depth_loss': '0.2784', 'vggt_mse_loss': '0.2765', 'vggt_cos_loss': '0.01955', 'pidinet_loss': '0.2351', 'siglip_loss': '0.5006', 'epoch': '0.2448'} + 76%|██████████████████████▋ | 6805/9000 [5:43:15<2:29:21, 4.08s/it][Dataset] cur_step=6806 phase=C_full_covt[Dataset] cur_step=6806 phase=C_full_covt +[Dataset] cur_step=6806 phase=C_full_covt + +[Dataset] cur_step=6806 phase=C_full_covt +[Dataset] cur_step=6806 phase=C_full_covt +[Dataset] cur_step=6806 phase=C_full_covt +[Dataset] cur_step=6806 phase=C_full_covt +[Dataset] cur_step=6806 phase=C_full_covt + 76%|██████████████████████▋ | 6806/9000 [5:43:16<2:28:49, 4.07s/it] {'loss': '2.993', 'grad_norm': '2.312', 'learning_rate': '7.693e-06', 'epoch': '0.2448'} + 76%|██████████████████████▋ | 6806/9000 [5:43:16<2:28:49, 4.07s/it] {'lm_loss': '0.1619', 'visual_loss': '2.612', 'seg_loss': '0.7363', 'dino_loss': '0.8762', 'depth_loss': '0.2057', 'vggt_mse_loss': '0.2041', 'vggt_cos_loss': '0.01551', 'pidinet_loss': '0.211', 'siglip_loss': '0.583', 'epoch': '0.2448'} + 76%|██████████████████████▋ | 6806/9000 [5:43:19<2:28:49, 4.07s/it][Dataset] cur_step=6807 phase=C_full_covt +[Dataset] cur_step=6807 phase=C_full_covt +[Dataset] cur_step=6807 phase=C_full_covt +[Dataset] cur_step=6807 phase=C_full_covt +[Dataset] cur_step=6807 phase=C_full_covt[Dataset] cur_step=6807 phase=C_full_covt + + 76%|██████████████████████▋ | 6807/9000 [5:43:20<2:29:35, 4.09s/it][Dataset] cur_step=6807 phase=C_full_covt +[Dataset] cur_step=6807 phase=C_full_covt + {'loss': '3.013', 'grad_norm': '2.885', 'learning_rate': '7.686e-06', 'epoch': '0.2449'} + 76%|██████████████████████▋ | 6807/9000 [5:43:20<2:29:35, 4.09s/it] {'lm_loss': '0.3893', 'visual_loss': '2.862', 'seg_loss': '0.7793', 'dino_loss': '0.917', 'depth_loss': '0.3467', 'vggt_mse_loss': '0.3445', 'vggt_cos_loss': '0.02237', 'pidinet_loss': '0.2382', 'siglip_loss': '0.5809', 'epoch': '0.2449'} + 76%|██████████████████████▋ | 6807/9000 [5:43:24<2:29:35, 4.09s/it][Dataset] cur_step=6808 phase=C_full_covt +[Dataset] cur_step=6808 phase=C_full_covt +[Dataset] cur_step=6808 phase=C_full_covt +[Dataset] cur_step=6808 phase=C_full_covt[Dataset] cur_step=6808 phase=C_full_covt + + 76%|██████████████████████▋ | 6808/9000 [5:43:24<2:30:02, 4.11s/it][Dataset] cur_step=6808 phase=C_full_covt +[Dataset] cur_step=6808 phase=C_full_covt +[Dataset] cur_step=6808 phase=C_full_covt + {'loss': '3.08', 'grad_norm': '3.322', 'learning_rate': '7.68e-06', 'epoch': '0.2449'} + 76%|██████████████████████▋ | 6808/9000 [5:43:24<2:30:02, 4.11s/it] {'lm_loss': '0.8302', 'visual_loss': '3.238', 'seg_loss': '0.7817', 'dino_loss': '0.9368', 'depth_loss': '0.4168', 'vggt_mse_loss': '0.414', 'vggt_cos_loss': '0.02779', 'pidinet_loss': '0.2638', 'siglip_loss': '0.8387', 'epoch': '0.2449'} + 76%|██████████████████████▋ | 6808/9000 [5:43:30<2:30:02, 4.11s/it][Dataset] cur_step=6809 phase=C_full_covt + 76%|██████████████████████▋ | 6809/9000 [5:43:31<2:55:40, 4.81s/it][Dataset] cur_step=6809 phase=C_full_covt +[Dataset] cur_step=6809 phase=C_full_covt +[Dataset] cur_step=6809 phase=C_full_covt[Dataset] cur_step=6809 phase=C_full_covt + +[Dataset] cur_step=6809 phase=C_full_covt +[Dataset] cur_step=6809 phase=C_full_covt +[Dataset] cur_step=6809 phase=C_full_covt + {'loss': '3.02', 'grad_norm': '1.762', 'learning_rate': '7.673e-06', 'epoch': '0.245'} + 76%|██████████████████████▋ | 6809/9000 [5:43:31<2:55:40, 4.81s/it] {'lm_loss': '0.6974', 'visual_loss': '2.853', 'seg_loss': '0.6367', 'dino_loss': '0.9271', 'depth_loss': '0.2326', 'vggt_mse_loss': '0.2309', 'vggt_cos_loss': '0.01706', 'pidinet_loss': '0.2097', 'siglip_loss': '0.8467', 'epoch': '0.245'} + 76%|██████████████████████▋ | 6809/9000 [5:43:35<2:55:40, 4.81s/it][Dataset] cur_step=6810 phase=C_full_covt[Dataset] cur_step=6810 phase=C_full_covt + + 76%|██████████████████████▋ | 6810/9000 [5:43:35<2:47:41, 4.59s/it][Dataset] cur_step=6810 phase=C_full_covt +[Dataset] cur_step=6810 phase=C_full_covt +[Dataset] cur_step=6810 phase=C_full_covt[Dataset] cur_step=6810 phase=C_full_covt + +[Dataset] cur_step=6810 phase=C_full_covt +[Dataset] cur_step=6810 phase=C_full_covt + {'loss': '3.146', 'grad_norm': '1.579', 'learning_rate': '7.667e-06', 'epoch': '0.245'} + 76%|██████████████████████▋ | 6810/9000 [5:43:35<2:47:41, 4.59s/it] {'lm_loss': '0.2406', 'visual_loss': '2.819', 'seg_loss': '0.6094', 'dino_loss': '0.9026', 'depth_loss': '0.3664', 'vggt_mse_loss': '0.3637', 'vggt_cos_loss': '0.02795', 'pidinet_loss': '0.271', 'siglip_loss': '0.6698', 'epoch': '0.245'} + 76%|██████████████████████▋ | 6810/9000 [5:43:39<2:47:41, 4.59s/it][Dataset] cur_step=6811 phase=C_full_covt +[Dataset] cur_step=6811 phase=C_full_covt[Dataset] cur_step=6811 phase=C_full_covt + + 76%|██████████████████████▋ | 6811/9000 [5:43:39<2:41:36, 4.43s/it][Dataset] cur_step=6811 phase=C_full_covt +[Dataset] cur_step=6811 phase=C_full_covt +[Dataset] cur_step=6811 phase=C_full_covt +[Dataset] cur_step=6811 phase=C_full_covt +[Dataset] cur_step=6811 phase=C_full_covt + {'loss': '2.856', 'grad_norm': '1.529', 'learning_rate': '7.66e-06', 'epoch': '0.245'} + 76%|██████████████████████▋ | 6811/9000 [5:43:39<2:41:36, 4.43s/it] {'lm_loss': '0.0009473', 'visual_loss': '2.485', 'seg_loss': '0.6099', 'dino_loss': '0.9259', 'depth_loss': '0.2733', 'vggt_mse_loss': '0.2715', 'vggt_cos_loss': '0.01771', 'pidinet_loss': '0.2287', 'siglip_loss': '0.4477', 'epoch': '0.245'} + 76%|██████████████████████▋ | 6811/9000 [5:43:42<2:41:36, 4.43s/it][Dataset] cur_step=6812 phase=C_full_covt +[Dataset] cur_step=6812 phase=C_full_covt[Dataset] cur_step=6812 phase=C_full_covt + +[Dataset] cur_step=6812 phase=C_full_covt[Dataset] cur_step=6812 phase=C_full_covt + +[Dataset] cur_step=6812 phase=C_full_covt +[Dataset] cur_step=6812 phase=C_full_covt + 76%|██████████████████████▋ | 6812/9000 [5:43:43<2:39:48, 4.38s/it][Dataset] cur_step=6812 phase=C_full_covt + {'loss': '3.107', 'grad_norm': '1.793', 'learning_rate': '7.653e-06', 'epoch': '0.2451'} + 76%|██████████████████████▋ | 6812/9000 [5:43:43<2:39:48, 4.38s/it] {'lm_loss': '0.03677', 'visual_loss': '2.748', 'seg_loss': '0.8365', 'dino_loss': '0.917', 'depth_loss': '0.2428', 'vggt_mse_loss': '0.241', 'vggt_cos_loss': '0.01824', 'pidinet_loss': '0.2477', 'siglip_loss': '0.5045', 'epoch': '0.2451'} + 76%|██████████████████████▋ | 6812/9000 [5:43:46<2:39:48, 4.38s/it][Dataset] cur_step=6813 phase=C_full_covt +[Dataset] cur_step=6813 phase=C_full_covt +[Dataset] cur_step=6813 phase=C_full_covt + 76%|██████████████████████▋ | 6813/9000 [5:43:47<2:33:39, 4.22s/it][Dataset] cur_step=6813 phase=C_full_covt +[Dataset] cur_step=6813 phase=C_full_covt +[Dataset] cur_step=6813 phase=C_full_covt +[Dataset] cur_step=6813 phase=C_full_covt +[Dataset] cur_step=6813 phase=C_full_covt + {'loss': '3.046', 'grad_norm': '3.141', 'learning_rate': '7.647e-06', 'epoch': '0.2451'} + 76%|██████████████████████▋ | 6813/9000 [5:43:47<2:33:39, 4.22s/it] {'lm_loss': '0.3705', 'visual_loss': '2.752', 'seg_loss': '0.7807', 'dino_loss': '0.9366', 'depth_loss': '0.2169', 'vggt_mse_loss': '0.2156', 'vggt_cos_loss': '0.01356', 'pidinet_loss': '0.2334', 'siglip_loss': '0.5848', 'epoch': '0.2451'} + 76%|██████████████████████▋ | 6813/9000 [5:43:50<2:33:39, 4.22s/it][Dataset] cur_step=6814 phase=C_full_covt +[Dataset] cur_step=6814 phase=C_full_covt +[Dataset] cur_step=6814 phase=C_full_covt +[Dataset] cur_step=6814 phase=C_full_covt +[Dataset] cur_step=6814 phase=C_full_covt 76%|██████████████████████▋ | 6814/9000 [5:43:54<3:01:35, 4.98s/it] +[Dataset] cur_step=6814 phase=C_full_covt +[Dataset] cur_step=6814 phase=C_full_covt +[Dataset] cur_step=6814 phase=C_full_covt + {'loss': '2.985', 'grad_norm': '3.984', 'learning_rate': '7.64e-06', 'epoch': '0.2451'} + 76%|██████████████████████▋ | 6814/9000 [5:43:54<3:01:35, 4.98s/it] {'lm_loss': '0.007428', 'visual_loss': '2.338', 'seg_loss': '0.7168', 'dino_loss': '0.8961', 'depth_loss': '0.2059', 'vggt_mse_loss': '0.2049', 'vggt_cos_loss': '0.01005', 'pidinet_loss': '0.1685', 'siglip_loss': '0.3508', 'epoch': '0.2451'} + 76%|██████████████████████▋ | 6814/9000 [5:43:57<3:01:35, 4.98s/it][Dataset] cur_step=6815 phase=C_full_covt +[Dataset] cur_step=6815 phase=C_full_covt +[Dataset] cur_step=6815 phase=C_full_covt +[Dataset] cur_step=6815 phase=C_full_covt +[Dataset] cur_step=6815 phase=C_full_covt[Dataset] cur_step=6815 phase=C_full_covt + +[Dataset] cur_step=6815 phase=C_full_covt 76%|██████████████████████▋ | 6815/9000 [5:44:00<3:17:33, 5.43s/it] +[Dataset] cur_step=6815 phase=C_full_covt + {'loss': '3.064', 'grad_norm': '3.18', 'learning_rate': '7.634e-06', 'epoch': '0.2452'} + 76%|██████████████████████▋ | 6815/9000 [5:44:00<3:17:33, 5.43s/it] {'lm_loss': '0.4798', 'visual_loss': '2.767', 'seg_loss': '0.8463', 'dino_loss': '0.9326', 'depth_loss': '0.2933', 'vggt_mse_loss': '0.291', 'vggt_cos_loss': '0.02301', 'pidinet_loss': '0.1796', 'siglip_loss': '0.5151', 'epoch': '0.2452'} + 76%|██████████████████████▋ | 6815/9000 [5:44:03<3:17:33, 5.43s/it][Dataset] cur_step=6816 phase=C_full_covt +[Dataset] cur_step=6816 phase=C_full_covt +[Dataset] cur_step=6816 phase=C_full_covt +[Dataset] cur_step=6816 phase=C_full_covt +[Dataset] cur_step=6816 phase=C_full_covt[Dataset] cur_step=6816 phase=C_full_covt + +[Dataset] cur_step=6816 phase=C_full_covt + 76%|██████████████████████▋ | 6816/9000 [5:44:04<3:03:47, 5.05s/it][Dataset] cur_step=6816 phase=C_full_covt + {'loss': '3.23', 'grad_norm': '2.012', 'learning_rate': '7.627e-06', 'epoch': '0.2452'} + 76%|██████████████████████▋ | 6816/9000 [5:44:05<3:03:47, 5.05s/it] {'lm_loss': '0.01326', 'visual_loss': '2.753', 'seg_loss': '0.7723', 'dino_loss': '0.9072', 'depth_loss': '0.2613', 'vggt_mse_loss': '0.2595', 'vggt_cos_loss': '0.01771', 'pidinet_loss': '0.2965', 'siglip_loss': '0.5158', 'epoch': '0.2452'} + 76%|██████████████████████▋ | 6816/9000 [5:44:08<3:03:47, 5.05s/it][Dataset] cur_step=6817 phase=C_full_covt +[Dataset] cur_step=6817 phase=C_full_covt +[Dataset] cur_step=6817 phase=C_full_covt +[Dataset] cur_step=6817 phase=C_full_covt + 76%|██████████████████████▋ | 6817/9000 [5:44:09<2:57:20, 4.87s/it][Dataset] cur_step=6817 phase=C_full_covt +[Dataset] cur_step=6817 phase=C_full_covt +[Dataset] cur_step=6817 phase=C_full_covt +[Dataset] cur_step=6817 phase=C_full_covt + {'loss': '3.335', 'grad_norm': '5.22', 'learning_rate': '7.62e-06', 'epoch': '0.2452'} + 76%|██████████████████████▋ | 6817/9000 [5:44:09<2:57:20, 4.87s/it] {'lm_loss': '0.3889', 'visual_loss': '2.616', 'seg_loss': '0.6905', 'dino_loss': '0.8965', 'depth_loss': '0.2676', 'vggt_mse_loss': '0.266', 'vggt_cos_loss': '0.0159', 'pidinet_loss': '0.2292', 'siglip_loss': '0.5326', 'epoch': '0.2452'} + 76%|██████████████████████▋ | 6817/9000 [5:44:12<2:57:20, 4.87s/it][Dataset] cur_step=6818 phase=C_full_covt +[Dataset] cur_step=6818 phase=C_full_covt +[Dataset] cur_step=6818 phase=C_full_covt +[Dataset] cur_step=6818 phase=C_full_covt +[Dataset] cur_step=6818 phase=C_full_covt +[Dataset] cur_step=6818 phase=C_full_covt +[Dataset] cur_step=6818 phase=C_full_covt +[Dataset] cur_step=6818 phase=C_full_covt + 76%|██████████████████████▋ | 6818/9000 [5:44:13<2:45:20, 4.55s/it] {'loss': '3.199', 'grad_norm': '5.332', 'learning_rate': '7.614e-06', 'epoch': '0.2453'} + 76%|██████████████████████▋ | 6818/9000 [5:44:13<2:45:20, 4.55s/it] {'lm_loss': '0.5806', 'visual_loss': '2.764', 'seg_loss': '0.7809', 'dino_loss': '0.9158', 'depth_loss': '0.2244', 'vggt_mse_loss': '0.2229', 'vggt_cos_loss': '0.01497', 'pidinet_loss': '0.2749', 'siglip_loss': '0.5681', 'epoch': '0.2453'} + 76%|██████████████████████▋ | 6818/9000 [5:44:16<2:45:20, 4.55s/it][Dataset] cur_step=6819 phase=C_full_covt +[Dataset] cur_step=6819 phase=C_full_covt +[Dataset] cur_step=6819 phase=C_full_covt +[Dataset] cur_step=6819 phase=C_full_covt +[Dataset] cur_step=6819 phase=C_full_covt + 76%|██████████████████████▋ | 6819/9000 [5:44:17<2:38:04, 4.35s/it][Dataset] cur_step=6819 phase=C_full_covt +[Dataset] cur_step=6819 phase=C_full_covt +[Dataset] cur_step=6819 phase=C_full_covt + {'loss': '3.162', 'grad_norm': '9.185', 'learning_rate': '7.607e-06', 'epoch': '0.2453'} + 76%|██████████████████████▋ | 6819/9000 [5:44:17<2:38:04, 4.35s/it] {'lm_loss': '1.007', 'visual_loss': '2.441', 'seg_loss': '0.6724', 'dino_loss': '0.8982', 'depth_loss': '0.2384', 'vggt_mse_loss': '0.2364', 'vggt_cos_loss': '0.01931', 'pidinet_loss': '0.1741', 'siglip_loss': '0.4577', 'epoch': '0.2453'} + 76%|██████████████████████▋ | 6819/9000 [5:44:20<2:38:04, 4.35s/it][Dataset] cur_step=6820 phase=C_full_covt +[Dataset] cur_step=6820 phase=C_full_covt + 76%|██████████████████████▋ | 6820/9000 [5:44:21<2:34:12, 4.24s/it][Dataset] cur_step=6820 phase=C_full_covt[Dataset] cur_step=6820 phase=C_full_covt[Dataset] cur_step=6820 phase=C_full_covt + + +[Dataset] cur_step=6820 phase=C_full_covt +[Dataset] cur_step=6820 phase=C_full_covt[Dataset] cur_step=6820 phase=C_full_covt + + {'loss': '3.034', 'grad_norm': '2.966', 'learning_rate': '7.601e-06', 'epoch': '0.2454'} + 76%|██████████████████████▋ | 6820/9000 [5:44:21<2:34:12, 4.24s/it] {'lm_loss': '0.002127', 'visual_loss': '2.353', 'seg_loss': '0.5962', 'dino_loss': '0.9111', 'depth_loss': '0.2182', 'vggt_mse_loss': '0.2169', 'vggt_cos_loss': '0.01294', 'pidinet_loss': '0.212', 'siglip_loss': '0.4153', 'epoch': '0.2454'} + 76%|██████████████████████▋ | 6820/9000 [5:44:24<2:34:12, 4.24s/it][Dataset] cur_step=6821 phase=C_full_covt +[Dataset] cur_step=6821 phase=C_full_covt +[Dataset] cur_step=6821 phase=C_full_covt +[Dataset] cur_step=6821 phase=C_full_covt[Dataset] cur_step=6821 phase=C_full_covt + + 76%|██████████████████████▋ | 6821/9000 [5:44:25<2:31:36, 4.17s/it][Dataset] cur_step=6821 phase=C_full_covt +[Dataset] cur_step=6821 phase=C_full_covt +[Dataset] cur_step=6821 phase=C_full_covt + {'loss': '2.952', 'grad_norm': '2.327', 'learning_rate': '7.594e-06', 'epoch': '0.2454'} + 76%|██████████████████████▋ | 6821/9000 [5:44:25<2:31:36, 4.17s/it] {'lm_loss': '0.008211', 'visual_loss': '2.919', 'seg_loss': '0.7441', 'dino_loss': '0.9208', 'depth_loss': '0.3052', 'vggt_mse_loss': '0.3028', 'vggt_cos_loss': '0.02434', 'pidinet_loss': '0.2516', 'siglip_loss': '0.6974', 'epoch': '0.2454'} + 76%|██████████████████████▋ | 6821/9000 [5:44:28<2:31:36, 4.17s/it][Dataset] cur_step=6822 phase=C_full_covt[Dataset] cur_step=6822 phase=C_full_covt + +[Dataset] cur_step=6822 phase=C_full_covt +[Dataset] cur_step=6822 phase=C_full_covt +[Dataset] cur_step=6822 phase=C_full_covt +[Dataset] cur_step=6822 phase=C_full_covt +[Dataset] cur_step=6822 phase=C_full_covt 76%|██████████████████████▋ | 6822/9000 [5:44:28<2:27:47, 4.07s/it][Dataset] cur_step=6822 phase=C_full_covt + + {'loss': '3.048', 'grad_norm': '3.353', 'learning_rate': '7.587e-06', 'epoch': '0.2454'} + 76%|██████████████████████▋ | 6822/9000 [5:44:28<2:27:47, 4.07s/it] {'lm_loss': '0.5103', 'visual_loss': '2.593', 'seg_loss': '0.7419', 'dino_loss': '0.9487', 'depth_loss': '0.186', 'vggt_mse_loss': '0.1848', 'vggt_cos_loss': '0.01251', 'pidinet_loss': '0.1961', 'siglip_loss': '0.5205', 'epoch': '0.2454'} + 76%|██████████████████████▋ | 6822/9000 [5:44:32<2:27:47, 4.07s/it][Dataset] cur_step=6823 phase=C_full_covt +[Dataset] cur_step=6823 phase=C_full_covt +[Dataset] cur_step=6823 phase=C_full_covt + 76%|██████████████████████▋ | 6823/9000 [5:44:32<2:22:39, 3.93s/it][Dataset] cur_step=6823 phase=C_full_covt[Dataset] cur_step=6823 phase=C_full_covt[Dataset] cur_step=6823 phase=C_full_covt + + +[Dataset] cur_step=6823 phase=C_full_covt[Dataset] cur_step=6823 phase=C_full_covt + + {'loss': '3.022', 'grad_norm': '2.743', 'learning_rate': '7.581e-06', 'epoch': '0.2455'} + 76%|██████████████████████▋ | 6823/9000 [5:44:32<2:22:39, 3.93s/it] {'lm_loss': '0.7394', 'visual_loss': '2.763', 'seg_loss': '0.7957', 'dino_loss': '0.9429', 'depth_loss': '0.3145', 'vggt_mse_loss': '0.3119', 'vggt_cos_loss': '0.02645', 'pidinet_loss': '0.2527', 'siglip_loss': '0.4577', 'epoch': '0.2455'} + 76%|██████████████████████▋ | 6823/9000 [5:44:35<2:22:39, 3.93s/it][Dataset] cur_step=6824 phase=C_full_covt +[Dataset] cur_step=6824 phase=C_full_covt[Dataset] cur_step=6824 phase=C_full_covt + + 76%|██████████████████████▋ | 6824/9000 [5:44:36<2:22:30, 3.93s/it][Dataset] cur_step=6824 phase=C_full_covt +[Dataset] cur_step=6824 phase=C_full_covt +[Dataset] cur_step=6824 phase=C_full_covt +[Dataset] cur_step=6824 phase=C_full_covt +[Dataset] cur_step=6824 phase=C_full_covt + {'loss': '3.054', 'grad_norm': '2.842', 'learning_rate': '7.574e-06', 'epoch': '0.2455'} + 76%|██████████████████████▋ | 6824/9000 [5:44:36<2:22:30, 3.93s/it] {'lm_loss': '0.6456', 'visual_loss': '2.85', 'seg_loss': '0.7939', 'dino_loss': '0.8936', 'depth_loss': '0.319', 'vggt_mse_loss': '0.3169', 'vggt_cos_loss': '0.02144', 'pidinet_loss': '0.2606', 'siglip_loss': '0.5831', 'epoch': '0.2455'} + 76%|██████████████████████▋ | 6824/9000 [5:44:39<2:22:30, 3.93s/it][Dataset] cur_step=6825 phase=C_full_covt +[Dataset] cur_step=6825 phase=C_full_covt +[Dataset] cur_step=6825 phase=C_full_covt +[Dataset] cur_step=6825 phase=C_full_covt +[Dataset] cur_step=6825 phase=C_full_covt +[Dataset] cur_step=6825 phase=C_full_covt +[Dataset] cur_step=6825 phase=C_full_covt +[Dataset] cur_step=6825 phase=C_full_covt + 76%|██████████████████████▊ | 6825/9000 [5:44:40<2:22:05, 3.92s/it] {'loss': '3.072', 'grad_norm': '1.717', 'learning_rate': '7.568e-06', 'epoch': '0.2455'} + 76%|██████████████████████▊ | 6825/9000 [5:44:40<2:22:05, 3.92s/it] {'lm_loss': '0.4871', 'visual_loss': '2.457', 'seg_loss': '0.7024', 'dino_loss': '0.9066', 'depth_loss': '0.278', 'vggt_mse_loss': '0.276', 'vggt_cos_loss': '0.02008', 'pidinet_loss': '0.227', 'siglip_loss': '0.3428', 'epoch': '0.2455'} + 76%|██████████████████████▊ | 6825/9000 [5:44:43<2:22:05, 3.92s/it][Dataset] cur_step=6826 phase=C_full_covt +[Dataset] cur_step=6826 phase=C_full_covt +[Dataset] cur_step=6826 phase=C_full_covt +[Dataset] cur_step=6826 phase=C_full_covt[Dataset] cur_step=6826 phase=C_full_covt + +[Dataset] cur_step=6826 phase=C_full_covt[Dataset] cur_step=6826 phase=C_full_covt + +[Dataset] cur_step=6826 phase=C_full_covt + 76%|██████████████████████▊ | 6826/9000 [5:44:46<2:48:38, 4.65s/it] {'loss': '3.143', 'grad_norm': '2.74', 'learning_rate': '7.561e-06', 'epoch': '0.2456'} + 76%|██████████████████████▊ | 6826/9000 [5:44:46<2:48:38, 4.65s/it] {'lm_loss': '1.023', 'visual_loss': '2.699', 'seg_loss': '0.732', 'dino_loss': '0.9366', 'depth_loss': '0.2795', 'vggt_mse_loss': '0.2773', 'vggt_cos_loss': '0.02194', 'pidinet_loss': '0.2232', 'siglip_loss': '0.5282', 'epoch': '0.2456'} + 76%|██████████████████████▊ | 6826/9000 [5:44:49<2:48:38, 4.65s/it][Dataset] cur_step=6827 phase=C_full_covt +[Dataset] cur_step=6827 phase=C_full_covt +[Dataset] cur_step=6827 phase=C_full_covt +[Dataset] cur_step=6827 phase=C_full_covt +[Dataset] cur_step=6827 phase=C_full_covt +[Dataset] cur_step=6827 phase=C_full_covt 76%|██████████████████████▊ | 6827/9000 [5:44:50<2:38:23, 4.37s/it] +[Dataset] cur_step=6827 phase=C_full_covt +[Dataset] cur_step=6827 phase=C_full_covt + {'loss': '3.208', 'grad_norm': '4.427', 'learning_rate': '7.554e-06', 'epoch': '0.2456'} + 76%|██████████████████████▊ | 6827/9000 [5:44:50<2:38:23, 4.37s/it] {'lm_loss': '0.5841', 'visual_loss': '2.599', 'seg_loss': '0.7477', 'dino_loss': '0.9087', 'depth_loss': '0.2066', 'vggt_mse_loss': '0.2051', 'vggt_cos_loss': '0.0156', 'pidinet_loss': '0.2289', 'siglip_loss': '0.5067', 'epoch': '0.2456'} + 76%|██████████████████████▊ | 6827/9000 [5:44:53<2:38:23, 4.37s/it][Dataset] cur_step=6828 phase=C_full_covt +[Dataset] cur_step=6828 phase=C_full_covt +[Dataset] cur_step=6828 phase=C_full_covt[Dataset] cur_step=6828 phase=C_full_covt + +[Dataset] cur_step=6828 phase=C_full_covt +[Dataset] cur_step=6828 phase=C_full_covt 76%|██████████████████████▊ | 6828/9000 [5:44:54<2:30:01, 4.14s/it] +[Dataset] cur_step=6828 phase=C_full_covt +[Dataset] cur_step=6828 phase=C_full_covt + {'loss': '3.205', 'grad_norm': '2.001', 'learning_rate': '7.548e-06', 'epoch': '0.2456'} + 76%|██████████████████████▊ | 6828/9000 [5:44:54<2:30:01, 4.14s/it] {'lm_loss': '0.01372', 'visual_loss': '2.871', 'seg_loss': '0.7836', 'dino_loss': '0.9088', 'depth_loss': '0.2516', 'vggt_mse_loss': '0.2496', 'vggt_cos_loss': '0.02072', 'pidinet_loss': '0.2454', 'siglip_loss': '0.6818', 'epoch': '0.2456'} + 76%|██████████████████████▊ | 6828/9000 [5:44:57<2:30:01, 4.14s/it][Dataset] cur_step=6829 phase=C_full_covt +[Dataset] cur_step=6829 phase=C_full_covt +[Dataset] cur_step=6829 phase=C_full_covt +[Dataset] cur_step=6829 phase=C_full_covt + 76%|██████████████████████▊ | 6829/9000 [5:44:57<2:25:23, 4.02s/it][Dataset] cur_step=6829 phase=C_full_covt[Dataset] cur_step=6829 phase=C_full_covt + +[Dataset] cur_step=6829 phase=C_full_covt +[Dataset] cur_step=6829 phase=C_full_covt + {'loss': '2.939', 'grad_norm': '1.573', 'learning_rate': '7.541e-06', 'epoch': '0.2457'} + 76%|██████████████████████▊ | 6829/9000 [5:44:57<2:25:23, 4.02s/it] {'lm_loss': '0.3463', 'visual_loss': '2.747', 'seg_loss': '0.7515', 'dino_loss': '0.9136', 'depth_loss': '0.2697', 'vggt_mse_loss': '0.2679', 'vggt_cos_loss': '0.01773', 'pidinet_loss': '0.2732', 'siglip_loss': '0.5394', 'epoch': '0.2457'} + 76%|██████████████████████▊ | 6829/9000 [5:45:01<2:25:23, 4.02s/it][Dataset] cur_step=6830 phase=C_full_covt[Dataset] cur_step=6830 phase=C_full_covt + +[Dataset] cur_step=6830 phase=C_full_covt + 76%|██████████████████████▊ | 6830/9000 [5:45:01<2:25:00, 4.01s/it][Dataset] cur_step=6830 phase=C_full_covt[Dataset] cur_step=6830 phase=C_full_covt + +[Dataset] cur_step=6830 phase=C_full_covt +[Dataset] cur_step=6830 phase=C_full_covt +[Dataset] cur_step=6830 phase=C_full_covt + {'loss': '2.903', 'grad_norm': '1.691', 'learning_rate': '7.535e-06', 'epoch': '0.2457'} + 76%|██████████████████████▊ | 6830/9000 [5:45:01<2:25:00, 4.01s/it] {'lm_loss': '1.088', 'visual_loss': '2.611', 'seg_loss': '0.7158', 'dino_loss': '0.9218', 'depth_loss': '0.2447', 'vggt_mse_loss': '0.2428', 'vggt_cos_loss': '0.01919', 'pidinet_loss': '0.2528', 'siglip_loss': '0.4756', 'epoch': '0.2457'} + 76%|██████████████████████▊ | 6830/9000 [5:45:05<2:25:00, 4.01s/it][Dataset] cur_step=6831 phase=C_full_covt +[Dataset] cur_step=6831 phase=C_full_covt[Dataset] cur_step=6831 phase=C_full_covt[Dataset] cur_step=6831 phase=C_full_covt + + + 76%|██████████████████████▊ | 6831/9000 [5:45:06<2:28:24, 4.11s/it][Dataset] cur_step=6831 phase=C_full_covt +[Dataset] cur_step=6831 phase=C_full_covt +[Dataset] cur_step=6831 phase=C_full_covt +[Dataset] cur_step=6831 phase=C_full_covt + {'loss': '3.222', 'grad_norm': '1.687', 'learning_rate': '7.528e-06', 'epoch': '0.2457'} + 76%|██████████████████████▊ | 6831/9000 [5:45:06<2:28:24, 4.11s/it] {'lm_loss': '0.439', 'visual_loss': '2.57', 'seg_loss': '0.5416', 'dino_loss': '0.9113', 'depth_loss': '0.2257', 'vggt_mse_loss': '0.2243', 'vggt_cos_loss': '0.01402', 'pidinet_loss': '0.2361', 'siglip_loss': '0.6557', 'epoch': '0.2457'} + 76%|██████████████████████▊ | 6831/9000 [5:45:09<2:28:24, 4.11s/it][Dataset] cur_step=6832 phase=C_full_covt +[Dataset] cur_step=6832 phase=C_full_covt + 76%|██████████████████████▊ | 6832/9000 [5:45:10<2:27:59, 4.10s/it][Dataset] cur_step=6832 phase=C_full_covt +[Dataset] cur_step=6832 phase=C_full_covt +[Dataset] cur_step=6832 phase=C_full_covt +[Dataset] cur_step=6832 phase=C_full_covt +[Dataset] cur_step=6832 phase=C_full_covt +[Dataset] cur_step=6832 phase=C_full_covt + {'loss': '3.271', 'grad_norm': '1.692', 'learning_rate': '7.522e-06', 'epoch': '0.2458'} + 76%|██████████████████████▊ | 6832/9000 [5:45:10<2:27:59, 4.10s/it] {'lm_loss': '0.2644', 'visual_loss': '2.559', 'seg_loss': '0.6589', 'dino_loss': '0.9272', 'depth_loss': '0.1755', 'vggt_mse_loss': '0.1741', 'vggt_cos_loss': '0.0138', 'pidinet_loss': '0.2719', 'siglip_loss': '0.5255', 'epoch': '0.2458'} + 76%|██████████████████████▊ | 6832/9000 [5:45:13<2:27:59, 4.10s/it][Dataset] cur_step=6833 phase=C_full_covt[Dataset] cur_step=6833 phase=C_full_covt + + 76%|██████████████████████▊ | 6833/9000 [5:45:14<2:27:54, 4.10s/it][Dataset] cur_step=6833 phase=C_full_covt +[Dataset] cur_step=6833 phase=C_full_covt +[Dataset] cur_step=6833 phase=C_full_covt +[Dataset] cur_step=6833 phase=C_full_covt[Dataset] cur_step=6833 phase=C_full_covt + +[Dataset] cur_step=6833 phase=C_full_covt + {'loss': '3.258', 'grad_norm': '2.344', 'learning_rate': '7.515e-06', 'epoch': '0.2458'} + 76%|██████████████████████▊ | 6833/9000 [5:45:14<2:27:54, 4.10s/it] {'lm_loss': '0.1905', 'visual_loss': '2.934', 'seg_loss': '0.8066', 'dino_loss': '0.932', 'depth_loss': '0.2236', 'vggt_mse_loss': '0.222', 'vggt_cos_loss': '0.0157', 'pidinet_loss': '0.2418', 'siglip_loss': '0.7296', 'epoch': '0.2458'} + 76%|██████████████████████▊ | 6833/9000 [5:45:17<2:27:54, 4.10s/it][Dataset] cur_step=6834 phase=C_full_covt[Dataset] cur_step=6834 phase=C_full_covt + +[Dataset] cur_step=6834 phase=C_full_covt +[Dataset] cur_step=6834 phase=C_full_covt +[Dataset] cur_step=6834 phase=C_full_covt +[Dataset] cur_step=6834 phase=C_full_covt[Dataset] cur_step=6834 phase=C_full_covt +[Dataset] cur_step=6834 phase=C_full_covt + + 76%|██████████████████████▊ | 6834/9000 [5:45:18<2:28:03, 4.10s/it] {'loss': '3.115', 'grad_norm': '2.753', 'learning_rate': '7.508e-06', 'epoch': '0.2459'} + 76%|██████████████████████▊ | 6834/9000 [5:45:18<2:28:03, 4.10s/it] {'lm_loss': '0.2719', 'visual_loss': '2.571', 'seg_loss': '0.7033', 'dino_loss': '0.9179', 'depth_loss': '0.2711', 'vggt_mse_loss': '0.269', 'vggt_cos_loss': '0.02055', 'pidinet_loss': '0.2492', 'siglip_loss': '0.4295', 'epoch': '0.2459'} + 76%|██████████████████████▊ | 6834/9000 [5:45:21<2:28:03, 4.10s/it][Dataset] cur_step=6835 phase=C_full_covt[Dataset] cur_step=6835 phase=C_full_covt +[Dataset] cur_step=6835 phase=C_full_covt + +[Dataset] cur_step=6835 phase=C_full_covt +[Dataset] cur_step=6835 phase=C_full_covt +[Dataset] cur_step=6835 phase=C_full_covt +[Dataset] cur_step=6835 phase=C_full_covt + 76%|██████████████████████▊ | 6835/9000 [5:45:22<2:26:12, 4.05s/it][Dataset] cur_step=6835 phase=C_full_covt + {'loss': '3.081', 'grad_norm': '2.451', 'learning_rate': '7.502e-06', 'epoch': '0.2459'} + 76%|██████████████████████▊ | 6835/9000 [5:45:22<2:26:12, 4.05s/it] {'lm_loss': '0.358', 'visual_loss': '2.528', 'seg_loss': '0.6833', 'dino_loss': '0.8822', 'depth_loss': '0.1992', 'vggt_mse_loss': '0.198', 'vggt_cos_loss': '0.01162', 'pidinet_loss': '0.2259', 'siglip_loss': '0.5376', 'epoch': '0.2459'} + 76%|██████████████████████▊ | 6835/9000 [5:45:26<2:26:12, 4.05s/it][Dataset] cur_step=6836 phase=C_full_covt +[Dataset] cur_step=6836 phase=C_full_covt +[Dataset] cur_step=6836 phase=C_full_covt +[Dataset] cur_step=6836 phase=C_full_covt +[Dataset] cur_step=6836 phase=C_full_covt + 76%|██████████████████████▊ | 6836/9000 [5:45:26<2:26:31, 4.06s/it][Dataset] cur_step=6836 phase=C_full_covt +[Dataset] cur_step=6836 phase=C_full_covt +[Dataset] cur_step=6836 phase=C_full_covt + {'loss': '3.249', 'grad_norm': '1.861', 'learning_rate': '7.495e-06', 'epoch': '0.2459'} + 76%|██████████████████████▊ | 6836/9000 [5:45:26<2:26:31, 4.06s/it] {'lm_loss': '0.0007816', 'visual_loss': '2.329', 'seg_loss': '0.5957', 'dino_loss': '0.8621', 'depth_loss': '0.1818', 'vggt_mse_loss': '0.1808', 'vggt_cos_loss': '0.01006', 'pidinet_loss': '0.2317', 'siglip_loss': '0.458', 'epoch': '0.2459'} + 76%|██████████████████████▊ | 6836/9000 [5:45:29<2:26:31, 4.06s/it][Dataset] cur_step=6837 phase=C_full_covt +[Dataset] cur_step=6837 phase=C_full_covt +[Dataset] cur_step=6837 phase=C_full_covt +[Dataset] cur_step=6837 phase=C_full_covt +[Dataset] cur_step=6837 phase=C_full_covt[Dataset] cur_step=6837 phase=C_full_covt + + 76%|██████████████████████▊ | 6837/9000 [5:45:32<2:46:28, 4.62s/it][Dataset] cur_step=6837 phase=C_full_covt[Dataset] cur_step=6837 phase=C_full_covt + + {'loss': '3.375', 'grad_norm': '1.929', 'learning_rate': '7.489e-06', 'epoch': '0.246'} + 76%|██████████████████████▊ | 6837/9000 [5:45:32<2:46:28, 4.62s/it] {'lm_loss': '0.4896', 'visual_loss': '2.879', 'seg_loss': '0.8135', 'dino_loss': '0.9358', 'depth_loss': '0.2406', 'vggt_mse_loss': '0.239', 'vggt_cos_loss': '0.01566', 'pidinet_loss': '0.2283', 'siglip_loss': '0.6611', 'epoch': '0.246'} + 76%|██████████████████████▊ | 6837/9000 [5:45:35<2:46:28, 4.62s/it][Dataset] cur_step=6838 phase=C_full_covt +[Dataset] cur_step=6838 phase=C_full_covt +[Dataset] cur_step=6838 phase=C_full_covt +[Dataset] cur_step=6838 phase=C_full_covt +[Dataset] cur_step=6838 phase=C_full_covt + 76%|██████████████████████▊ | 6838/9000 [5:45:36<2:38:34, 4.40s/it][Dataset] cur_step=6838 phase=C_full_covt +[Dataset] cur_step=6838 phase=C_full_covt +[Dataset] cur_step=6838 phase=C_full_covt + {'loss': '3.125', 'grad_norm': '2.476', 'learning_rate': '7.482e-06', 'epoch': '0.246'} + 76%|██████████████████████▊ | 6838/9000 [5:45:36<2:38:34, 4.40s/it] {'lm_loss': '1.021', 'visual_loss': '2.724', 'seg_loss': '0.7601', 'dino_loss': '0.9222', 'depth_loss': '0.2136', 'vggt_mse_loss': '0.2119', 'vggt_cos_loss': '0.01618', 'pidinet_loss': '0.2446', 'siglip_loss': '0.5831', 'epoch': '0.246'} + 76%|██████████████████████▊ | 6838/9000 [5:45:39<2:38:34, 4.40s/it][Dataset] cur_step=6839 phase=C_full_covt +[Dataset] cur_step=6839 phase=C_full_covt +[Dataset] cur_step=6839 phase=C_full_covt +[Dataset] cur_step=6839 phase=C_full_covt +[Dataset] cur_step=6839 phase=C_full_covt +[Dataset] cur_step=6839 phase=C_full_covt +[Dataset] cur_step=6839 phase=C_full_covt + 76%|██████████████████████▊ | 6839/9000 [5:45:40<2:36:52, 4.36s/it][Dataset] cur_step=6839 phase=C_full_covt + {'loss': '3.421', 'grad_norm': '2.27', 'learning_rate': '7.476e-06', 'epoch': '0.246'} + 76%|██████████████████████▊ | 6839/9000 [5:45:40<2:36:52, 4.36s/it] {'lm_loss': '0.951', 'visual_loss': '2.94', 'seg_loss': '0.8169', 'dino_loss': '0.912', 'depth_loss': '0.3215', 'vggt_mse_loss': '0.3193', 'vggt_cos_loss': '0.02249', 'pidinet_loss': '0.2936', 'siglip_loss': '0.5962', 'epoch': '0.246'} + 76%|██████████████████████▊ | 6839/9000 [5:45:43<2:36:52, 4.36s/it][Dataset] cur_step=6840 phase=C_full_covt +[Dataset] cur_step=6840 phase=C_full_covt[Dataset] cur_step=6840 phase=C_full_covt + +[Dataset] cur_step=6840 phase=C_full_covt[Dataset] cur_step=6840 phase=C_full_covt + +[Dataset] cur_step=6840 phase=C_full_covt[Dataset] cur_step=6840 phase=C_full_covt + + 76%|██████████████████████▊ | 6840/9000 [5:45:44<2:34:31, 4.29s/it][Dataset] cur_step=6840 phase=C_full_covt + {'loss': '3.149', 'grad_norm': '3.683', 'learning_rate': '7.469e-06', 'epoch': '0.2461'} + 76%|██████████████████████▊ | 6840/9000 [5:45:44<2:34:31, 4.29s/it] {'lm_loss': '0.03084', 'visual_loss': '2.727', 'seg_loss': '0.744', 'dino_loss': '0.9063', 'depth_loss': '0.2546', 'vggt_mse_loss': '0.2527', 'vggt_cos_loss': '0.01916', 'pidinet_loss': '0.2156', 'siglip_loss': '0.6059', 'epoch': '0.2461'} + 76%|██████████████████████▊ | 6840/9000 [5:45:47<2:34:31, 4.29s/it][Dataset] cur_step=6841 phase=C_full_covt +[Dataset] cur_step=6841 phase=C_full_covt +[Dataset] cur_step=6841 phase=C_full_covt +[Dataset] cur_step=6841 phase=C_full_covt[Dataset] cur_step=6841 phase=C_full_covt + +[Dataset] cur_step=6841 phase=C_full_covt + 76%|██████████████████████▊ | 6841/9000 [5:45:50<2:53:47, 4.83s/it][Dataset] cur_step=6841 phase=C_full_covt +[Dataset] cur_step=6841 phase=C_full_covt + {'loss': '3.188', 'grad_norm': '2.887', 'learning_rate': '7.463e-06', 'epoch': '0.2461'} + 76%|██████████████████████▊ | 6841/9000 [5:45:50<2:53:47, 4.83s/it] {'lm_loss': '0.7565', 'visual_loss': '2.819', 'seg_loss': '0.7839', 'dino_loss': '0.943', 'depth_loss': '0.2353', 'vggt_mse_loss': '0.2334', 'vggt_cos_loss': '0.01899', 'pidinet_loss': '0.2781', 'siglip_loss': '0.579', 'epoch': '0.2461'} + 76%|██████████████████████▊ | 6841/9000 [5:45:53<2:53:47, 4.83s/it][Dataset] cur_step=6842 phase=C_full_covt +[Dataset] cur_step=6842 phase=C_full_covt +[Dataset] cur_step=6842 phase=C_full_covt +[Dataset] cur_step=6842 phase=C_full_covt[Dataset] cur_step=6842 phase=C_full_covt + + 76%|██████████████████████▊ | 6842/9000 [5:45:54<2:45:17, 4.60s/it][Dataset] cur_step=6842 phase=C_full_covt[Dataset] cur_step=6842 phase=C_full_covt + +[Dataset] cur_step=6842 phase=C_full_covt + {'loss': '3.19', 'grad_norm': '2.428', 'learning_rate': '7.456e-06', 'epoch': '0.2461'} + 76%|██████████████████████▊ | 6842/9000 [5:45:54<2:45:17, 4.60s/it] {'lm_loss': '0.00649', 'visual_loss': '2.723', 'seg_loss': '0.686', 'dino_loss': '0.8959', 'depth_loss': '0.4049', 'vggt_mse_loss': '0.4007', 'vggt_cos_loss': '0.04206', 'pidinet_loss': '0.1921', 'siglip_loss': '0.5445', 'epoch': '0.2461'} + 76%|██████████████████████▊ | 6842/9000 [5:45:58<2:45:17, 4.60s/it][Dataset] cur_step=6843 phase=C_full_covt +[Dataset] cur_step=6843 phase=C_full_covt +[Dataset] cur_step=6843 phase=C_full_covt[Dataset] cur_step=6843 phase=C_full_covt[Dataset] cur_step=6843 phase=C_full_covt[Dataset] cur_step=6843 phase=C_full_covt + + + + 76%|██████████████████████▊ | 6843/9000 [5:45:58<2:36:58, 4.37s/it][Dataset] cur_step=6843 phase=C_full_covt +[Dataset] cur_step=6843 phase=C_full_covt + {'loss': '3.076', 'grad_norm': '2.08', 'learning_rate': '7.449e-06', 'epoch': '0.2462'} + 76%|██████████████████████▊ | 6843/9000 [5:45:58<2:36:58, 4.37s/it] {'lm_loss': '0.5094', 'visual_loss': '2.882', 'seg_loss': '0.8228', 'dino_loss': '0.9067', 'depth_loss': '0.242', 'vggt_mse_loss': '0.2403', 'vggt_cos_loss': '0.01712', 'pidinet_loss': '0.224', 'siglip_loss': '0.6864', 'epoch': '0.2462'} + 76%|██████████████████████▊ | 6843/9000 [5:46:01<2:36:58, 4.37s/it][Dataset] cur_step=6844 phase=C_full_covt +[Dataset] cur_step=6844 phase=C_full_covt +[Dataset] cur_step=6844 phase=C_full_covt +[Dataset] cur_step=6844 phase=C_full_covt +[Dataset] cur_step=6844 phase=C_full_covt +[Dataset] cur_step=6844 phase=C_full_covt +[Dataset] cur_step=6844 phase=C_full_covt +[Dataset] cur_step=6844 phase=C_full_covt 76%|██████████████████████▊ | 6844/9000 [5:46:03<2:37:26, 4.38s/it] + {'loss': '3.118', 'grad_norm': '4.295', 'learning_rate': '7.443e-06', 'epoch': '0.2462'} + 76%|██████████████████████▊ | 6844/9000 [5:46:03<2:37:26, 4.38s/it] {'lm_loss': '0.5143', 'visual_loss': '2.875', 'seg_loss': '0.7595', 'dino_loss': '0.8717', 'depth_loss': '0.208', 'vggt_mse_loss': '0.2065', 'vggt_cos_loss': '0.01451', 'pidinet_loss': '0.2584', 'siglip_loss': '0.777', 'epoch': '0.2462'} + 76%|██████████████████████▊ | 6844/9000 [5:46:05<2:37:26, 4.38s/it][Dataset] cur_step=6845 phase=C_full_covt +[Dataset] cur_step=6845 phase=C_full_covt +[Dataset] cur_step=6845 phase=C_full_covt + 76%|██████████████████████▊ | 6845/9000 [5:46:06<2:32:10, 4.24s/it][Dataset] cur_step=6845 phase=C_full_covt +[Dataset] cur_step=6845 phase=C_full_covt +[Dataset] cur_step=6845 phase=C_full_covt +[Dataset] cur_step=6845 phase=C_full_covt +[Dataset] cur_step=6845 phase=C_full_covt + {'loss': '3.003', 'grad_norm': '102.4', 'learning_rate': '7.436e-06', 'epoch': '0.2462'} + 76%|██████████████████████▊ | 6845/9000 [5:46:06<2:32:10, 4.24s/it] {'lm_loss': '0.3514', 'visual_loss': '2.493', 'seg_loss': '0.6453', 'dino_loss': '0.9049', 'depth_loss': '0.234', 'vggt_mse_loss': '0.2321', 'vggt_cos_loss': '0.01874', 'pidinet_loss': '0.2258', 'siglip_loss': '0.4828', 'epoch': '0.2462'} + 76%|██████████████████████▊ | 6845/9000 [5:46:10<2:32:10, 4.24s/it][Dataset] cur_step=6846 phase=C_full_covt +[Dataset] cur_step=6846 phase=C_full_covt +[Dataset] cur_step=6846 phase=C_full_covt +[Dataset] cur_step=6846 phase=C_full_covt +[Dataset] cur_step=6846 phase=C_full_covt +[Dataset] cur_step=6846 phase=C_full_covt[Dataset] cur_step=6846 phase=C_full_covt + +[Dataset] cur_step=6846 phase=C_full_covt + 76%|██████████████████████▊ | 6846/9000 [5:46:11<2:35:12, 4.32s/it] {'loss': '2.991', 'grad_norm': '2.186', 'learning_rate': '7.43e-06', 'epoch': '0.2463'} + 76%|██████████████████████▊ | 6846/9000 [5:46:11<2:35:12, 4.32s/it] {'lm_loss': '0.2566', 'visual_loss': '2.51', 'seg_loss': '0.5685', 'dino_loss': '0.8807', 'depth_loss': '0.2823', 'vggt_mse_loss': '0.2805', 'vggt_cos_loss': '0.01714', 'pidinet_loss': '0.2607', 'siglip_loss': '0.5177', 'epoch': '0.2463'} + 76%|██████████████████████▊ | 6846/9000 [5:46:14<2:35:12, 4.32s/it][Dataset] cur_step=6847 phase=C_full_covt[Dataset] cur_step=6847 phase=C_full_covt + +[Dataset] cur_step=6847 phase=C_full_covt +[Dataset] cur_step=6847 phase=C_full_covt +[Dataset] cur_step=6847 phase=C_full_covt + 76%|██████████████████████▊ | 6847/9000 [5:46:17<2:52:33, 4.81s/it][Dataset] cur_step=6847 phase=C_full_covt +[Dataset] cur_step=6847 phase=C_full_covt +[Dataset] cur_step=6847 phase=C_full_covt + {'loss': '3.136', 'grad_norm': '4.993', 'learning_rate': '7.423e-06', 'epoch': '0.2463'} + 76%|██████████████████████▊ | 6847/9000 [5:46:17<2:52:33, 4.81s/it] {'lm_loss': '0.2796', 'visual_loss': '2.659', 'seg_loss': '0.7321', 'dino_loss': '0.8955', 'depth_loss': '0.222', 'vggt_mse_loss': '0.2204', 'vggt_cos_loss': '0.01632', 'pidinet_loss': '0.269', 'siglip_loss': '0.5401', 'epoch': '0.2463'} + 76%|██████████████████████▊ | 6847/9000 [5:46:20<2:52:33, 4.81s/it][Dataset] cur_step=6848 phase=C_full_covt +[Dataset] cur_step=6848 phase=C_full_covt +[Dataset] cur_step=6848 phase=C_full_covt +[Dataset] cur_step=6848 phase=C_full_covt +[Dataset] cur_step=6848 phase=C_full_covt +[Dataset] cur_step=6848 phase=C_full_covt +[Dataset] cur_step=6848 phase=C_full_covt[Dataset] cur_step=6848 phase=C_full_covt + + 76%|██████████████████████▊ | 6848/9000 [5:46:21<2:44:22, 4.58s/it] {'loss': '2.875', 'grad_norm': '5.529', 'learning_rate': '7.417e-06', 'epoch': '0.2464'} + 76%|██████████████████████▊ | 6848/9000 [5:46:21<2:44:22, 4.58s/it] {'lm_loss': '0.003655', 'visual_loss': '2.48', 'seg_loss': '0.7103', 'dino_loss': '0.891', 'depth_loss': '0.2134', 'vggt_mse_loss': '0.212', 'vggt_cos_loss': '0.01449', 'pidinet_loss': '0.1777', 'siglip_loss': '0.4878', 'epoch': '0.2464'} + 76%|██████████████████████▊ | 6848/9000 [5:46:25<2:44:22, 4.58s/it][Dataset] cur_step=6849 phase=C_full_covt +[Dataset] cur_step=6849 phase=C_full_covt +[Dataset] cur_step=6849 phase=C_full_covt + 76%|██████████████████████▊ | 6849/9000 [5:46:25<2:40:06, 4.47s/it][Dataset] cur_step=6849 phase=C_full_covt +[Dataset] cur_step=6849 phase=C_full_covt +[Dataset] cur_step=6849 phase=C_full_covt +[Dataset] cur_step=6849 phase=C_full_covt +[Dataset] cur_step=6849 phase=C_full_covt + {'loss': '3.128', 'grad_norm': '1.674', 'learning_rate': '7.41e-06', 'epoch': '0.2464'} + 76%|██████████████████████▊ | 6849/9000 [5:46:25<2:40:06, 4.47s/it] {'lm_loss': '0.2818', 'visual_loss': '2.776', 'seg_loss': '0.7269', 'dino_loss': '0.8936', 'depth_loss': '0.293', 'vggt_mse_loss': '0.2904', 'vggt_cos_loss': '0.02555', 'pidinet_loss': '0.2865', 'siglip_loss': '0.5765', 'epoch': '0.2464'} + 76%|██████████████████████▊ | 6849/9000 [5:46:28<2:40:06, 4.47s/it][Dataset] cur_step=6850 phase=C_full_covt +[Dataset] cur_step=6850 phase=C_full_covt +[Dataset] cur_step=6850 phase=C_full_covt + 76%|██████████████████████▊ | 6850/9000 [5:46:29<2:36:25, 4.37s/it][Dataset] cur_step=6850 phase=C_full_covt +[Dataset] cur_step=6850 phase=C_full_covt +[Dataset] cur_step=6850 phase=C_full_covt[Dataset] cur_step=6850 phase=C_full_covt[Dataset] cur_step=6850 phase=C_full_covt + + + {'loss': '3.154', 'grad_norm': '8.414', 'learning_rate': '7.404e-06', 'epoch': '0.2464'} + 76%|██████████████████████▊ | 6850/9000 [5:46:29<2:36:25, 4.37s/it] {'lm_loss': '0.004468', 'visual_loss': '2.51', 'seg_loss': '0.6869', 'dino_loss': '0.8496', 'depth_loss': '0.2105', 'vggt_mse_loss': '0.2093', 'vggt_cos_loss': '0.01232', 'pidinet_loss': '0.2027', 'siglip_loss': '0.5601', 'epoch': '0.2464'} + 76%|██████████████████████▊ | 6850/9000 [5:46:33<2:36:25, 4.37s/it][Dataset] cur_step=6851 phase=C_full_covt +[Dataset] cur_step=6851 phase=C_full_covt + 76%|██████████████████████▊ | 6851/9000 [5:46:33<2:32:05, 4.25s/it][Dataset] cur_step=6851 phase=C_full_covt[Dataset] cur_step=6851 phase=C_full_covt + +[Dataset] cur_step=6851 phase=C_full_covt +[Dataset] cur_step=6851 phase=C_full_covt +[Dataset] cur_step=6851 phase=C_full_covt +[Dataset] cur_step=6851 phase=C_full_covt + {'loss': '3.181', 'grad_norm': '1.557', 'learning_rate': '7.397e-06', 'epoch': '0.2465'} + 76%|██████████████████████▊ | 6851/9000 [5:46:33<2:32:05, 4.25s/it] {'lm_loss': '1.052', 'visual_loss': '2.704', 'seg_loss': '0.7363', 'dino_loss': '0.8845', 'depth_loss': '0.1978', 'vggt_mse_loss': '0.1965', 'vggt_cos_loss': '0.01287', 'pidinet_loss': '0.2658', 'siglip_loss': '0.62', 'epoch': '0.2465'} + 76%|██████████████████████▊ | 6851/9000 [5:46:36<2:32:05, 4.25s/it][Dataset] cur_step=6852 phase=C_full_covt[Dataset] cur_step=6852 phase=C_full_covt[Dataset] cur_step=6852 phase=C_full_covt + + +[Dataset] cur_step=6852 phase=C_full_covt +[Dataset] cur_step=6852 phase=C_full_covt + 76%|██████████████████████▊ | 6852/9000 [5:46:37<2:31:31, 4.23s/it][Dataset] cur_step=6852 phase=C_full_covt[Dataset] cur_step=6852 phase=C_full_covt + +[Dataset] cur_step=6852 phase=C_full_covt + {'loss': '3.223', 'grad_norm': '1.847', 'learning_rate': '7.391e-06', 'epoch': '0.2465'} + 76%|██████████████████████▊ | 6852/9000 [5:46:37<2:31:31, 4.23s/it] {'lm_loss': '0.4836', 'visual_loss': '2.887', 'seg_loss': '0.7722', 'dino_loss': '0.9049', 'depth_loss': '0.2543', 'vggt_mse_loss': '0.2525', 'vggt_cos_loss': '0.01867', 'pidinet_loss': '0.2564', 'siglip_loss': '0.6995', 'epoch': '0.2465'} + 76%|██████████████████████▊ | 6852/9000 [5:46:40<2:31:31, 4.23s/it][Dataset] cur_step=6853 phase=C_full_covt +[Dataset] cur_step=6853 phase=C_full_covt + 76%|██████████████████████▊ | 6853/9000 [5:46:41<2:26:51, 4.10s/it][Dataset] cur_step=6853 phase=C_full_covt +[Dataset] cur_step=6853 phase=C_full_covt[Dataset] cur_step=6853 phase=C_full_covt + +[Dataset] cur_step=6853 phase=C_full_covt +[Dataset] cur_step=6853 phase=C_full_covt +[Dataset] cur_step=6853 phase=C_full_covt + {'loss': '3.161', 'grad_norm': '1.981', 'learning_rate': '7.384e-06', 'epoch': '0.2465'} + 76%|██████████████████████▊ | 6853/9000 [5:46:41<2:26:51, 4.10s/it] {'lm_loss': '0.3639', 'visual_loss': '2.645', 'seg_loss': '0.7311', 'dino_loss': '0.8899', 'depth_loss': '0.1873', 'vggt_mse_loss': '0.1859', 'vggt_cos_loss': '0.01443', 'pidinet_loss': '0.3218', 'siglip_loss': '0.5148', 'epoch': '0.2465'} + 76%|██████████████████████▊ | 6853/9000 [5:46:45<2:26:51, 4.10s/it][Dataset] cur_step=6854 phase=C_full_covt +[Dataset] cur_step=6854 phase=C_full_covt +[Dataset] cur_step=6854 phase=C_full_covt + 76%|██████████████████████▊ | 6854/9000 [5:46:46<2:28:22, 4.15s/it][Dataset] cur_step=6854 phase=C_full_covt +[Dataset] cur_step=6854 phase=C_full_covt +[Dataset] cur_step=6854 phase=C_full_covt +[Dataset] cur_step=6854 phase=C_full_covt +[Dataset] cur_step=6854 phase=C_full_covt + {'loss': '2.911', 'grad_norm': '3.077', 'learning_rate': '7.378e-06', 'epoch': '0.2466'} + 76%|██████████████████████▊ | 6854/9000 [5:46:46<2:28:22, 4.15s/it] {'lm_loss': '0.2747', 'visual_loss': '2.834', 'seg_loss': '0.7705', 'dino_loss': '0.9124', 'depth_loss': '0.2124', 'vggt_mse_loss': '0.2109', 'vggt_cos_loss': '0.01507', 'pidinet_loss': '0.3184', 'siglip_loss': '0.6205', 'epoch': '0.2466'} + 76%|██████████████████████▊ | 6854/9000 [5:46:49<2:28:22, 4.15s/it][Dataset] cur_step=6855 phase=C_full_covt[Dataset] cur_step=6855 phase=C_full_covt + +[Dataset] cur_step=6855 phase=C_full_covt +[Dataset] cur_step=6855 phase=C_full_covt 76%|██████████████████████▊ | 6855/9000 [5:46:50<2:26:56, 4.11s/it][Dataset] cur_step=6855 phase=C_full_covt + +[Dataset] cur_step=6855 phase=C_full_covt +[Dataset] cur_step=6855 phase=C_full_covt +[Dataset] cur_step=6855 phase=C_full_covt + {'loss': '2.922', 'grad_norm': '1.926', 'learning_rate': '7.371e-06', 'epoch': '0.2466'} + 76%|██████████████████████▊ | 6855/9000 [5:46:50<2:26:56, 4.11s/it] {'lm_loss': '0.3873', 'visual_loss': '2.405', 'seg_loss': '0.6371', 'dino_loss': '0.8902', 'depth_loss': '0.2468', 'vggt_mse_loss': '0.2457', 'vggt_cos_loss': '0.0111', 'pidinet_loss': '0.1895', 'siglip_loss': '0.4414', 'epoch': '0.2466'} + 76%|██████████████████████▊ | 6855/9000 [5:46:53<2:26:56, 4.11s/it][Dataset] cur_step=6856 phase=C_full_covt[Dataset] cur_step=6856 phase=C_full_covt + +[Dataset] cur_step=6856 phase=C_full_covt +[Dataset] cur_step=6856 phase=C_full_covt 76%|██████████████████████▊ | 6856/9000 [5:46:53<2:23:49, 4.03s/it] +[Dataset] cur_step=6856 phase=C_full_covt[Dataset] cur_step=6856 phase=C_full_covt +[Dataset] cur_step=6856 phase=C_full_covt + +[Dataset] cur_step=6856 phase=C_full_covt + {'loss': '2.964', 'grad_norm': '4.762', 'learning_rate': '7.365e-06', 'epoch': '0.2466'} + 76%|██████████████████████▊ | 6856/9000 [5:46:53<2:23:49, 4.03s/it] {'lm_loss': '0.844', 'visual_loss': '2.671', 'seg_loss': '0.6547', 'dino_loss': '0.9371', 'depth_loss': '0.1912', 'vggt_mse_loss': '0.19', 'vggt_cos_loss': '0.01219', 'pidinet_loss': '0.172', 'siglip_loss': '0.7163', 'epoch': '0.2466'} + 76%|██████████████████████▊ | 6856/9000 [5:46:57<2:23:49, 4.03s/it][Dataset] cur_step=6857 phase=C_full_covt +[Dataset] cur_step=6857 phase=C_full_covt +[Dataset] cur_step=6857 phase=C_full_covt +[Dataset] cur_step=6857 phase=C_full_covt +[Dataset] cur_step=6857 phase=C_full_covt[Dataset] cur_step=6857 phase=C_full_covt + + 76%|██████████████████████▊ | 6857/9000 [5:46:57<2:22:07, 3.98s/it][Dataset] cur_step=6857 phase=C_full_covt[Dataset] cur_step=6857 phase=C_full_covt + + {'loss': '3.177', 'grad_norm': '1.583', 'learning_rate': '7.358e-06', 'epoch': '0.2467'} + 76%|██████████████████████▊ | 6857/9000 [5:46:57<2:22:07, 3.98s/it] {'lm_loss': '0.2681', 'visual_loss': '2.794', 'seg_loss': '0.7868', 'dino_loss': '0.9556', 'depth_loss': '0.2376', 'vggt_mse_loss': '0.2358', 'vggt_cos_loss': '0.01778', 'pidinet_loss': '0.279', 'siglip_loss': '0.5348', 'epoch': '0.2467'} + 76%|██████████████████████▊ | 6857/9000 [5:47:00<2:22:07, 3.98s/it][Dataset] cur_step=6858 phase=C_full_covt +[Dataset] cur_step=6858 phase=C_full_covt +[Dataset] cur_step=6858 phase=C_full_covt[Dataset] cur_step=6858 phase=C_full_covt[Dataset] cur_step=6858 phase=C_full_covt[Dataset] cur_step=6858 phase=C_full_covt + + + + 76%|██████████████████████▊ | 6858/9000 [5:47:01<2:19:07, 3.90s/it][Dataset] cur_step=6858 phase=C_full_covt +[Dataset] cur_step=6858 phase=C_full_covt + {'loss': '3.1', 'grad_norm': '4.492', 'learning_rate': '7.352e-06', 'epoch': '0.2467'} + 76%|██████████████████████▊ | 6858/9000 [5:47:01<2:19:07, 3.90s/it] {'lm_loss': '0.1434', 'visual_loss': '2.675', 'seg_loss': '0.675', 'dino_loss': '0.9217', 'depth_loss': '0.2801', 'vggt_mse_loss': '0.2783', 'vggt_cos_loss': '0.01853', 'pidinet_loss': '0.2262', 'siglip_loss': '0.5724', 'epoch': '0.2467'} + 76%|██████████████████████▊ | 6858/9000 [5:47:04<2:19:07, 3.90s/it][Dataset] cur_step=6859 phase=C_full_covt +[Dataset] cur_step=6859 phase=C_full_covt +[Dataset] cur_step=6859 phase=C_full_covt +[Dataset] cur_step=6859 phase=C_full_covt +[Dataset] cur_step=6859 phase=C_full_covt +[Dataset] cur_step=6859 phase=C_full_covt 76%|██████████████████████▊ | 6859/9000 [5:47:05<2:20:53, 3.95s/it] +[Dataset] cur_step=6859 phase=C_full_covt +[Dataset] cur_step=6859 phase=C_full_covt + {'loss': '3.124', 'grad_norm': '2.901', 'learning_rate': '7.345e-06', 'epoch': '0.2468'} + 76%|██████████████████████▊ | 6859/9000 [5:47:05<2:20:53, 3.95s/it] {'lm_loss': '0.7353', 'visual_loss': '2.6', 'seg_loss': '0.7157', 'dino_loss': '0.9088', 'depth_loss': '0.3099', 'vggt_mse_loss': '0.3077', 'vggt_cos_loss': '0.02212', 'pidinet_loss': '0.2607', 'siglip_loss': '0.4046', 'epoch': '0.2468'} + 76%|██████████████████████▊ | 6859/9000 [5:47:09<2:20:53, 3.95s/it][Dataset] cur_step=6860 phase=C_full_covt +[Dataset] cur_step=6860 phase=C_full_covt +[Dataset] cur_step=6860 phase=C_full_covt +[Dataset] cur_step=6860 phase=C_full_covt +[Dataset] cur_step=6860 phase=C_full_covt + 76%|██████████████████████▊ | 6860/9000 [5:47:09<2:23:01, 4.01s/it][Dataset] cur_step=6860 phase=C_full_covt +[Dataset] cur_step=6860 phase=C_full_covt +[Dataset] cur_step=6860 phase=C_full_covt + {'loss': '3.328', 'grad_norm': '1.964', 'learning_rate': '7.339e-06', 'epoch': '0.2468'} + 76%|██████████████████████▊ | 6860/9000 [5:47:09<2:23:01, 4.01s/it] {'lm_loss': '0.4391', 'visual_loss': '2.716', 'seg_loss': '0.6625', 'dino_loss': '0.9015', 'depth_loss': '0.235', 'vggt_mse_loss': '0.2333', 'vggt_cos_loss': '0.01711', 'pidinet_loss': '0.2503', 'siglip_loss': '0.6666', 'epoch': '0.2468'} + 76%|██████████████████████▊ | 6860/9000 [5:47:13<2:23:01, 4.01s/it][Dataset] cur_step=6861 phase=C_full_covt +[Dataset] cur_step=6861 phase=C_full_covt +[Dataset] cur_step=6861 phase=C_full_covt +[Dataset] cur_step=6861 phase=C_full_covt + 76%|██████████████████████▊ | 6861/9000 [5:47:13<2:23:14, 4.02s/it][Dataset] cur_step=6861 phase=C_full_covt[Dataset] cur_step=6861 phase=C_full_covt + +[Dataset] cur_step=6861 phase=C_full_covt +[Dataset] cur_step=6861 phase=C_full_covt + {'loss': '3.154', 'grad_norm': '1.783', 'learning_rate': '7.332e-06', 'epoch': '0.2468'} + 76%|██████████████████████▊ | 6861/9000 [5:47:13<2:23:14, 4.02s/it] {'lm_loss': '0.3858', 'visual_loss': '2.661', 'seg_loss': '0.6928', 'dino_loss': '0.9096', 'depth_loss': '0.2324', 'vggt_mse_loss': '0.2307', 'vggt_cos_loss': '0.01725', 'pidinet_loss': '0.2674', 'siglip_loss': '0.5592', 'epoch': '0.2468'} + 76%|██████████████████████▊ | 6861/9000 [5:47:16<2:23:14, 4.02s/it][Dataset] cur_step=6862 phase=C_full_covt[Dataset] cur_step=6862 phase=C_full_covt + +[Dataset] cur_step=6862 phase=C_full_covt +[Dataset] cur_step=6862 phase=C_full_covt +[Dataset] cur_step=6862 phase=C_full_covt +[Dataset] cur_step=6862 phase=C_full_covt +[Dataset] cur_step=6862 phase=C_full_covt 76%|██████████████████████▊ | 6862/9000 [5:47:17<2:21:20, 3.97s/it] +[Dataset] cur_step=6862 phase=C_full_covt + {'loss': '3.057', 'grad_norm': '2.141', 'learning_rate': '7.326e-06', 'epoch': '0.2469'} + 76%|██████████████████████▊ | 6862/9000 [5:47:17<2:21:20, 3.97s/it] {'lm_loss': '0.25', 'visual_loss': '1.998', 'seg_loss': '0.5683', 'dino_loss': '0.861', 'depth_loss': '0.186', 'vggt_mse_loss': '0.1853', 'vggt_cos_loss': '0.00706', 'pidinet_loss': '0.1289', 'siglip_loss': '0.254', 'epoch': '0.2469'} + 76%|██████████████████████▊ | 6862/9000 [5:47:21<2:21:20, 3.97s/it][Dataset] cur_step=6863 phase=C_full_covt +[Dataset] cur_step=6863 phase=C_full_covt + 76%|██████████████████████▉ | 6863/9000 [5:47:21<2:22:57, 4.01s/it][Dataset] cur_step=6863 phase=C_full_covt +[Dataset] cur_step=6863 phase=C_full_covt +[Dataset] cur_step=6863 phase=C_full_covt[Dataset] cur_step=6863 phase=C_full_covt + +[Dataset] cur_step=6863 phase=C_full_covt +[Dataset] cur_step=6863 phase=C_full_covt + {'loss': '2.865', 'grad_norm': '2.323', 'learning_rate': '7.319e-06', 'epoch': '0.2469'} + 76%|██████████████████████▉ | 6863/9000 [5:47:21<2:22:57, 4.01s/it] {'lm_loss': '0.6954', 'visual_loss': '2.47', 'seg_loss': '0.6115', 'dino_loss': '0.9048', 'depth_loss': '0.267', 'vggt_mse_loss': '0.2651', 'vggt_cos_loss': '0.01882', 'pidinet_loss': '0.1984', 'siglip_loss': '0.488', 'epoch': '0.2469'} + 76%|██████████████████████▉ | 6863/9000 [5:47:25<2:22:57, 4.01s/it][Dataset] cur_step=6864 phase=C_full_covt[Dataset] cur_step=6864 phase=C_full_covt + + 76%|██████████████████████▉ | 6864/9000 [5:47:26<2:26:32, 4.12s/it][Dataset] cur_step=6864 phase=C_full_covt +[Dataset] cur_step=6864 phase=C_full_covt +[Dataset] cur_step=6864 phase=C_full_covt +[Dataset] cur_step=6864 phase=C_full_covt +[Dataset] cur_step=6864 phase=C_full_covt +[Dataset] cur_step=6864 phase=C_full_covt + {'loss': '3.246', 'grad_norm': '4.771', 'learning_rate': '7.313e-06', 'epoch': '0.2469'} + 76%|██████████████████████▉ | 6864/9000 [5:47:26<2:26:32, 4.12s/it] {'lm_loss': '0.6792', 'visual_loss': '2.729', 'seg_loss': '0.6209', 'dino_loss': '0.9167', 'depth_loss': '0.2997', 'vggt_mse_loss': '0.2975', 'vggt_cos_loss': '0.02169', 'pidinet_loss': '0.2608', 'siglip_loss': '0.6316', 'epoch': '0.2469'} + 76%|██████████████████████▉ | 6864/9000 [5:47:29<2:26:32, 4.12s/it][Dataset] cur_step=6865 phase=C_full_covt + 76%|██████████████████████▉ | 6865/9000 [5:47:30<2:28:58, 4.19s/it][Dataset] cur_step=6865 phase=C_full_covt +[Dataset] cur_step=6865 phase=C_full_covt +[Dataset] cur_step=6865 phase=C_full_covt[Dataset] cur_step=6865 phase=C_full_covt[Dataset] cur_step=6865 phase=C_full_covt + + +[Dataset] cur_step=6865 phase=C_full_covt +[Dataset] cur_step=6865 phase=C_full_covt + {'loss': '3.399', 'grad_norm': '2.417', 'learning_rate': '7.306e-06', 'epoch': '0.247'} + 76%|██████████████████████▉ | 6865/9000 [5:47:30<2:28:58, 4.19s/it] {'lm_loss': '0.002572', 'visual_loss': '2.393', 'seg_loss': '0.6547', 'dino_loss': '0.9046', 'depth_loss': '0.2058', 'vggt_mse_loss': '0.2046', 'vggt_cos_loss': '0.01193', 'pidinet_loss': '0.2166', 'siglip_loss': '0.4112', 'epoch': '0.247'} + 76%|██████████████████████▉ | 6865/9000 [5:47:33<2:28:58, 4.19s/it][Dataset] cur_step=6866 phase=C_full_covt + 76%|██████████████████████▉ | 6866/9000 [5:47:34<2:29:45, 4.21s/it][Dataset] cur_step=6866 phase=C_full_covt[Dataset] cur_step=6866 phase=C_full_covt + +[Dataset] cur_step=6866 phase=C_full_covt[Dataset] cur_step=6866 phase=C_full_covt +[Dataset] cur_step=6866 phase=C_full_covt + +[Dataset] cur_step=6866 phase=C_full_covt +[Dataset] cur_step=6866 phase=C_full_covt + {'loss': '3.156', 'grad_norm': '7.828', 'learning_rate': '7.3e-06', 'epoch': '0.247'} + 76%|██████████████████████▉ | 6866/9000 [5:47:34<2:29:45, 4.21s/it] {'lm_loss': '0.2263', 'visual_loss': '2.607', 'seg_loss': '0.7412', 'dino_loss': '0.9032', 'depth_loss': '0.2074', 'vggt_mse_loss': '0.2056', 'vggt_cos_loss': '0.01775', 'pidinet_loss': '0.2653', 'siglip_loss': '0.4904', 'epoch': '0.247'} + 76%|██████████████████████▉ | 6866/9000 [5:47:40<2:29:45, 4.21s/it][Dataset] cur_step=6867 phase=C_full_covt + 76%|██████████████████████▉ | 6867/9000 [5:47:40<2:49:43, 4.77s/it][Dataset] cur_step=6867 phase=C_full_covt +[Dataset] cur_step=6867 phase=C_full_covt +[Dataset] cur_step=6867 phase=C_full_covt +[Dataset] cur_step=6867 phase=C_full_covt +[Dataset] cur_step=6867 phase=C_full_covt +[Dataset] cur_step=6867 phase=C_full_covt +[Dataset] cur_step=6867 phase=C_full_covt + {'loss': '3.245', 'grad_norm': '2.834', 'learning_rate': '7.293e-06', 'epoch': '0.247'} + 76%|██████████████████████▉ | 6867/9000 [5:47:40<2:49:43, 4.77s/it] {'lm_loss': '0.8093', 'visual_loss': '2.703', 'seg_loss': '0.7552', 'dino_loss': '0.9052', 'depth_loss': '0.2686', 'vggt_mse_loss': '0.2667', 'vggt_cos_loss': '0.01869', 'pidinet_loss': '0.2445', 'siglip_loss': '0.5295', 'epoch': '0.247'} + 76%|██████████████████████▉ | 6867/9000 [5:47:43<2:49:43, 4.77s/it][Dataset] cur_step=6868 phase=C_full_covt +[Dataset] cur_step=6868 phase=C_full_covt[Dataset] cur_step=6868 phase=C_full_covt + +[Dataset] cur_step=6868 phase=C_full_covt[Dataset] cur_step=6868 phase=C_full_covt + +[Dataset] cur_step=6868 phase=C_full_covt + 76%|██████████████████████▉ | 6868/9000 [5:47:44<2:42:52, 4.58s/it][Dataset] cur_step=6868 phase=C_full_covt +[Dataset] cur_step=6868 phase=C_full_covt + {'loss': '3.032', 'grad_norm': '1.992', 'learning_rate': '7.287e-06', 'epoch': '0.2471'} + 76%|██████████████████████▉ | 6868/9000 [5:47:44<2:42:52, 4.58s/it] {'lm_loss': '1.161', 'visual_loss': '2.83', 'seg_loss': '0.7248', 'dino_loss': '0.8997', 'depth_loss': '0.2576', 'vggt_mse_loss': '0.2563', 'vggt_cos_loss': '0.01305', 'pidinet_loss': '0.2722', 'siglip_loss': '0.6759', 'epoch': '0.2471'} + 76%|██████████████████████▉ | 6868/9000 [5:47:48<2:42:52, 4.58s/it][Dataset] cur_step=6869 phase=C_full_covt[Dataset] cur_step=6869 phase=C_full_covt + +[Dataset] cur_step=6869 phase=C_full_covt[Dataset] cur_step=6869 phase=C_full_covt[Dataset] cur_step=6869 phase=C_full_covt + + +[Dataset] cur_step=6869 phase=C_full_covt[Dataset] cur_step=6869 phase=C_full_covt + + 76%|██████████████████████▉ | 6869/9000 [5:47:48<2:34:49, 4.36s/it][Dataset] cur_step=6869 phase=C_full_covt + {'loss': '3.115', 'grad_norm': '4.718', 'learning_rate': '7.28e-06', 'epoch': '0.2471'} + 76%|██████████████████████▉ | 6869/9000 [5:47:48<2:34:49, 4.36s/it] {'lm_loss': '0.7717', 'visual_loss': '2.623', 'seg_loss': '0.7984', 'dino_loss': '0.9123', 'depth_loss': '0.2079', 'vggt_mse_loss': '0.2066', 'vggt_cos_loss': '0.01275', 'pidinet_loss': '0.2337', 'siglip_loss': '0.4704', 'epoch': '0.2471'} + 76%|██████████████████████▉ | 6869/9000 [5:47:51<2:34:49, 4.36s/it][Dataset] cur_step=6870 phase=C_full_covt +[Dataset] cur_step=6870 phase=C_full_covt +[Dataset] cur_step=6870 phase=C_full_covt +[Dataset] cur_step=6870 phase=C_full_covt +[Dataset] cur_step=6870 phase=C_full_covt +[Dataset] cur_step=6870 phase=C_full_covt[Dataset] cur_step=6870 phase=C_full_covt + + 76%|██████████████████████▉ | 6870/9000 [5:47:52<2:30:25, 4.24s/it][Dataset] cur_step=6870 phase=C_full_covt + {'loss': '3.229', 'grad_norm': '6.923', 'learning_rate': '7.274e-06', 'epoch': '0.2471'} + 76%|██████████████████████▉ | 6870/9000 [5:47:52<2:30:25, 4.24s/it] {'lm_loss': '0.01544', 'visual_loss': '2.567', 'seg_loss': '0.6768', 'dino_loss': '0.9033', 'depth_loss': '0.2225', 'vggt_mse_loss': '0.2207', 'vggt_cos_loss': '0.01783', 'pidinet_loss': '0.2505', 'siglip_loss': '0.5139', 'epoch': '0.2471'} + 76%|██████████████████████▉ | 6870/9000 [5:47:55<2:30:25, 4.24s/it][Dataset] cur_step=6871 phase=C_full_covt[Dataset] cur_step=6871 phase=C_full_covt + +[Dataset] cur_step=6871 phase=C_full_covt +[Dataset] cur_step=6871 phase=C_full_covt +[Dataset] cur_step=6871 phase=C_full_covt[Dataset] cur_step=6871 phase=C_full_covt + +[Dataset] cur_step=6871 phase=C_full_covt +[Dataset] cur_step=6871 phase=C_full_covt + 76%|██████████████████████▉ | 6871/9000 [5:47:56<2:29:00, 4.20s/it] {'loss': '2.922', 'grad_norm': '2.441', 'learning_rate': '7.267e-06', 'epoch': '0.2472'} + 76%|██████████████████████▉ | 6871/9000 [5:47:56<2:29:00, 4.20s/it] {'lm_loss': '0.3924', 'visual_loss': '2.493', 'seg_loss': '0.7076', 'dino_loss': '0.889', 'depth_loss': '0.2078', 'vggt_mse_loss': '0.2064', 'vggt_cos_loss': '0.01395', 'pidinet_loss': '0.2189', 'siglip_loss': '0.4699', 'epoch': '0.2472'} + 76%|██████████████████████▉ | 6871/9000 [5:48:00<2:29:00, 4.20s/it][Dataset] cur_step=6872 phase=C_full_covt +[Dataset] cur_step=6872 phase=C_full_covt +[Dataset] cur_step=6872 phase=C_full_covt[Dataset] cur_step=6872 phase=C_full_covt + + 76%|██████████████████████▉ | 6872/9000 [5:48:01<2:29:21, 4.21s/it][Dataset] cur_step=6872 phase=C_full_covt +[Dataset] cur_step=6872 phase=C_full_covt +[Dataset] cur_step=6872 phase=C_full_covt +[Dataset] cur_step=6872 phase=C_full_covt + {'loss': '2.978', 'grad_norm': '1.671', 'learning_rate': '7.261e-06', 'epoch': '0.2472'} + 76%|██████████████████████▉ | 6872/9000 [5:48:01<2:29:21, 4.21s/it] {'lm_loss': '0.8975', 'visual_loss': '2.65', 'seg_loss': '0.8144', 'dino_loss': '0.9146', 'depth_loss': '0.1968', 'vggt_mse_loss': '0.1955', 'vggt_cos_loss': '0.0135', 'pidinet_loss': '0.2222', 'siglip_loss': '0.5017', 'epoch': '0.2472'} + 76%|██████████████████████▉ | 6872/9000 [5:48:03<2:29:21, 4.21s/it][Dataset] cur_step=6873 phase=C_full_covt +[Dataset] cur_step=6873 phase=C_full_covt +[Dataset] cur_step=6873 phase=C_full_covt +[Dataset] cur_step=6873 phase=C_full_covt +[Dataset] cur_step=6873 phase=C_full_covt +[Dataset] cur_step=6873 phase=C_full_covt +[Dataset] cur_step=6873 phase=C_full_covt + 76%|██████████████████████▉ | 6873/9000 [5:48:04<2:24:52, 4.09s/it][Dataset] cur_step=6873 phase=C_full_covt + {'loss': '3.13', 'grad_norm': '2.683', 'learning_rate': '7.254e-06', 'epoch': '0.2473'} + 76%|██████████████████████▉ | 6873/9000 [5:48:04<2:24:52, 4.09s/it] {'lm_loss': '0.00247', 'visual_loss': '2.357', 'seg_loss': '0.6092', 'dino_loss': '0.892', 'depth_loss': '0.3071', 'vggt_mse_loss': '0.3048', 'vggt_cos_loss': '0.0232', 'pidinet_loss': '0.2105', 'siglip_loss': '0.338', 'epoch': '0.2473'} + 76%|██████████████████████▉ | 6873/9000 [5:48:08<2:24:52, 4.09s/it][Dataset] cur_step=6874 phase=C_full_covt +[Dataset] cur_step=6874 phase=C_full_covt[Dataset] cur_step=6874 phase=C_full_covt +[Dataset] cur_step=6874 phase=C_full_covt +[Dataset] cur_step=6874 phase=C_full_covt +[Dataset] cur_step=6874 phase=C_full_covt + + 76%|██████████████████████▉ | 6874/9000 [5:48:09<2:26:07, 4.12s/it][Dataset] cur_step=6874 phase=C_full_covt +[Dataset] cur_step=6874 phase=C_full_covt + {'loss': '2.87', 'grad_norm': '9.614', 'learning_rate': '7.248e-06', 'epoch': '0.2473'} + 76%|██████████████████████▉ | 6874/9000 [5:48:09<2:26:07, 4.12s/it] {'lm_loss': '0.5473', 'visual_loss': '2.881', 'seg_loss': '0.7093', 'dino_loss': '0.9246', 'depth_loss': '0.2652', 'vggt_mse_loss': '0.2633', 'vggt_cos_loss': '0.01861', 'pidinet_loss': '0.2322', 'siglip_loss': '0.7498', 'epoch': '0.2473'} + 76%|██████████████████████▉ | 6874/9000 [5:48:12<2:26:07, 4.12s/it][Dataset] cur_step=6875 phase=C_full_covt +[Dataset] cur_step=6875 phase=C_full_covt +[Dataset] cur_step=6875 phase=C_full_covt[Dataset] cur_step=6875 phase=C_full_covt +[Dataset] cur_step=6875 phase=C_full_covt + +[Dataset] cur_step=6875 phase=C_full_covt +[Dataset] cur_step=6875 phase=C_full_covt + 76%|██████████████████████▉ | 6875/9000 [5:48:13<2:26:29, 4.14s/it][Dataset] cur_step=6875 phase=C_full_covt + {'loss': '3.235', 'grad_norm': '1.94', 'learning_rate': '7.241e-06', 'epoch': '0.2473'} + 76%|██████████████████████▉ | 6875/9000 [5:48:13<2:26:29, 4.14s/it] {'lm_loss': '0.6141', 'visual_loss': '2.671', 'seg_loss': '0.683', 'dino_loss': '0.9076', 'depth_loss': '0.2746', 'vggt_mse_loss': '0.2727', 'vggt_cos_loss': '0.01809', 'pidinet_loss': '0.2603', 'siglip_loss': '0.5452', 'epoch': '0.2473'} + 76%|██████████████████████▉ | 6875/9000 [5:48:16<2:26:29, 4.14s/it][Dataset] cur_step=6876 phase=C_full_covt +[Dataset] cur_step=6876 phase=C_full_covt +[Dataset] cur_step=6876 phase=C_full_covt + 76%|██████████████████████▉ | 6876/9000 [5:48:17<2:26:05, 4.13s/it][Dataset] cur_step=6876 phase=C_full_covt +[Dataset] cur_step=6876 phase=C_full_covt[Dataset] cur_step=6876 phase=C_full_covt + +[Dataset] cur_step=6876 phase=C_full_covt +[Dataset] cur_step=6876 phase=C_full_covt + {'loss': '3.166', 'grad_norm': '1.818', 'learning_rate': '7.235e-06', 'epoch': '0.2474'} + 76%|██████████████████████▉ | 6876/9000 [5:48:17<2:26:05, 4.13s/it] {'lm_loss': '0.006463', 'visual_loss': '2.1', 'seg_loss': '0.6008', 'dino_loss': '0.8706', 'depth_loss': '0.1826', 'vggt_mse_loss': '0.1815', 'vggt_cos_loss': '0.01058', 'pidinet_loss': '0.1516', 'siglip_loss': '0.2942', 'epoch': '0.2474'} + 76%|██████████████████████▉ | 6876/9000 [5:48:20<2:26:05, 4.13s/it][Dataset] cur_step=6877 phase=C_full_covt +[Dataset] cur_step=6877 phase=C_full_covt +[Dataset] cur_step=6877 phase=C_full_covt +[Dataset] cur_step=6877 phase=C_full_covt +[Dataset] cur_step=6877 phase=C_full_covt[Dataset] cur_step=6877 phase=C_full_covt + +[Dataset] cur_step=6877 phase=C_full_covt +[Dataset] cur_step=6877 phase=C_full_covt + 76%|██████████████████████▉ | 6877/9000 [5:48:20<2:21:06, 3.99s/it] {'loss': '3.115', 'grad_norm': '1.655', 'learning_rate': '7.228e-06', 'epoch': '0.2474'} + 76%|██████████████████████▉ | 6877/9000 [5:48:20<2:21:06, 3.99s/it] {'lm_loss': '0.9583', 'visual_loss': '2.708', 'seg_loss': '0.7465', 'dino_loss': '0.9163', 'depth_loss': '0.2524', 'vggt_mse_loss': '0.2507', 'vggt_cos_loss': '0.01656', 'pidinet_loss': '0.2311', 'siglip_loss': '0.5622', 'epoch': '0.2474'} + 76%|██████████████████████▉ | 6877/9000 [5:48:24<2:21:06, 3.99s/it][Dataset] cur_step=6878 phase=C_full_covt +[Dataset] cur_step=6878 phase=C_full_covt +[Dataset] cur_step=6878 phase=C_full_covt +[Dataset] cur_step=6878 phase=C_full_covt +[Dataset] cur_step=6878 phase=C_full_covt +[Dataset] cur_step=6878 phase=C_full_covt +[Dataset] cur_step=6878 phase=C_full_covt +[Dataset] cur_step=6878 phase=C_full_covt + 76%|██████████████████████▉ | 6878/9000 [5:48:25<2:22:08, 4.02s/it] {'loss': '3.407', 'grad_norm': '1.78', 'learning_rate': '7.222e-06', 'epoch': '0.2474'} + 76%|██████████████████████▉ | 6878/9000 [5:48:25<2:22:08, 4.02s/it] {'lm_loss': '0.6751', 'visual_loss': '2.734', 'seg_loss': '0.7495', 'dino_loss': '0.9017', 'depth_loss': '0.4122', 'vggt_mse_loss': '0.408', 'vggt_cos_loss': '0.04181', 'pidinet_loss': '0.2008', 'siglip_loss': '0.47', 'epoch': '0.2474'} + 76%|██████████████████████▉ | 6878/9000 [5:48:28<2:22:08, 4.02s/it][Dataset] cur_step=6879 phase=C_full_covt[Dataset] cur_step=6879 phase=C_full_covt[Dataset] cur_step=6879 phase=C_full_covt + + + 76%|██████████████████████▉ | 6879/9000 [5:48:28<2:20:30, 3.97s/it][Dataset] cur_step=6879 phase=C_full_covt +[Dataset] cur_step=6879 phase=C_full_covt +[Dataset] cur_step=6879 phase=C_full_covt[Dataset] cur_step=6879 phase=C_full_covt + +[Dataset] cur_step=6879 phase=C_full_covt + {'loss': '3.237', 'grad_norm': '2.132', 'learning_rate': '7.215e-06', 'epoch': '0.2475'} + 76%|██████████████████████▉ | 6879/9000 [5:48:28<2:20:30, 3.97s/it] {'lm_loss': '0.3417', 'visual_loss': '2.485', 'seg_loss': '0.6829', 'dino_loss': '0.9037', 'depth_loss': '0.2306', 'vggt_mse_loss': '0.2295', 'vggt_cos_loss': '0.01036', 'pidinet_loss': '0.1472', 'siglip_loss': '0.5201', 'epoch': '0.2475'} + 76%|██████████████████████▉ | 6879/9000 [5:48:32<2:20:30, 3.97s/it][Dataset] cur_step=6880 phase=C_full_covt[Dataset] cur_step=6880 phase=C_full_covt + +[Dataset] cur_step=6880 phase=C_full_covt +[Dataset] cur_step=6880 phase=C_full_covt +[Dataset] cur_step=6880 phase=C_full_covt +[Dataset] cur_step=6880 phase=C_full_covt +[Dataset] cur_step=6880 phase=C_full_covt[Dataset] cur_step=6880 phase=C_full_covt + + 76%|██████████████████████▉ | 6880/9000 [5:48:32<2:19:56, 3.96s/it] {'loss': '3.079', 'grad_norm': '2.319', 'learning_rate': '7.209e-06', 'epoch': '0.2475'} + 76%|██████████████████████▉ | 6880/9000 [5:48:32<2:19:56, 3.96s/it] {'lm_loss': '0.4737', 'visual_loss': '2.453', 'seg_loss': '0.7051', 'dino_loss': '0.8999', 'depth_loss': '0.1931', 'vggt_mse_loss': '0.1915', 'vggt_cos_loss': '0.01604', 'pidinet_loss': '0.2482', 'siglip_loss': '0.4071', 'epoch': '0.2475'} + 76%|██████████████████████▉ | 6880/9000 [5:48:35<2:19:56, 3.96s/it][Dataset] cur_step=6881 phase=C_full_covt[Dataset] cur_step=6881 phase=C_full_covt +[Dataset] cur_step=6881 phase=C_full_covt + +[Dataset] cur_step=6881 phase=C_full_covt +[Dataset] cur_step=6881 phase=C_full_covt +[Dataset] cur_step=6881 phase=C_full_covt +[Dataset] cur_step=6881 phase=C_full_covt +[Dataset] cur_step=6881 phase=C_full_covt + 76%|██████████████████████▉ | 6881/9000 [5:48:36<2:19:20, 3.95s/it] {'loss': '3.088', 'grad_norm': '1.936', 'learning_rate': '7.203e-06', 'epoch': '0.2475'} + 76%|██████████████████████▉ | 6881/9000 [5:48:36<2:19:20, 3.95s/it] {'lm_loss': '0.4279', 'visual_loss': '2.686', 'seg_loss': '0.7082', 'dino_loss': '0.9157', 'depth_loss': '0.2363', 'vggt_mse_loss': '0.2345', 'vggt_cos_loss': '0.01866', 'pidinet_loss': '0.2808', 'siglip_loss': '0.5448', 'epoch': '0.2475'} + 76%|██████████████████████▉ | 6881/9000 [5:48:40<2:19:20, 3.95s/it][Dataset] cur_step=6882 phase=C_full_covt[Dataset] cur_step=6882 phase=C_full_covt + +[Dataset] cur_step=6882 phase=C_full_covt +[Dataset] cur_step=6882 phase=C_full_covt +[Dataset] cur_step=6882 phase=C_full_covt +[Dataset] cur_step=6882 phase=C_full_covt +[Dataset] cur_step=6882 phase=C_full_covt[Dataset] cur_step=6882 phase=C_full_covt + + 76%|██████████████████████▉ | 6882/9000 [5:48:40<2:22:06, 4.03s/it] {'loss': '3.055', 'grad_norm': '3.424', 'learning_rate': '7.196e-06', 'epoch': '0.2476'} + 76%|██████████████████████▉ | 6882/9000 [5:48:40<2:22:06, 4.03s/it] {'lm_loss': '0.4611', 'visual_loss': '2.675', 'seg_loss': '0.7065', 'dino_loss': '0.9078', 'depth_loss': '0.2294', 'vggt_mse_loss': '0.2277', 'vggt_cos_loss': '0.01655', 'pidinet_loss': '0.2478', 'siglip_loss': '0.5839', 'epoch': '0.2476'} + 76%|██████████████████████▉ | 6882/9000 [5:48:44<2:22:06, 4.03s/it][Dataset] cur_step=6883 phase=C_full_covt +[Dataset] cur_step=6883 phase=C_full_covt +[Dataset] cur_step=6883 phase=C_full_covt +[Dataset] cur_step=6883 phase=C_full_covt +[Dataset] cur_step=6883 phase=C_full_covt +[Dataset] cur_step=6883 phase=C_full_covt +[Dataset] cur_step=6883 phase=C_full_covt + 76%|██████████████████████▉ | 6883/9000 [5:48:45<2:24:28, 4.09s/it][Dataset] cur_step=6883 phase=C_full_covt + {'loss': '2.849', 'grad_norm': '6.759', 'learning_rate': '7.19e-06', 'epoch': '0.2476'} + 76%|██████████████████████▉ | 6883/9000 [5:48:45<2:24:28, 4.09s/it] {'lm_loss': '0.5087', 'visual_loss': '2.646', 'seg_loss': '0.7416', 'dino_loss': '0.9212', 'depth_loss': '0.2456', 'vggt_mse_loss': '0.2437', 'vggt_cos_loss': '0.0189', 'pidinet_loss': '0.2358', 'siglip_loss': '0.5019', 'epoch': '0.2476'} + 76%|██████████████████████▉ | 6883/9000 [5:48:48<2:24:28, 4.09s/it][Dataset] cur_step=6884 phase=C_full_covt +[Dataset] cur_step=6884 phase=C_full_covt +[Dataset] cur_step=6884 phase=C_full_covt +[Dataset] cur_step=6884 phase=C_full_covt +[Dataset] cur_step=6884 phase=C_full_covt[Dataset] cur_step=6884 phase=C_full_covt + +[Dataset] cur_step=6884 phase=C_full_covt[Dataset] cur_step=6884 phase=C_full_covt + + 76%|██████████████████████▉ | 6884/9000 [5:48:51<2:43:55, 4.65s/it] {'loss': '3.283', 'grad_norm': '2.968', 'learning_rate': '7.183e-06', 'epoch': '0.2477'} + 76%|██████████████████████▉ | 6884/9000 [5:48:51<2:43:55, 4.65s/it] {'lm_loss': '0.003367', 'visual_loss': '2.45', 'seg_loss': '0.6449', 'dino_loss': '0.9035', 'depth_loss': '0.2566', 'vggt_mse_loss': '0.255', 'vggt_cos_loss': '0.01533', 'pidinet_loss': '0.2039', 'siglip_loss': '0.4415', 'epoch': '0.2477'} + 76%|██████████████████████▉ | 6884/9000 [5:48:54<2:43:55, 4.65s/it][Dataset] cur_step=6885 phase=C_full_covt +[Dataset] cur_step=6885 phase=C_full_covt +[Dataset] cur_step=6885 phase=C_full_covt +[Dataset] cur_step=6885 phase=C_full_covt +[Dataset] cur_step=6885 phase=C_full_covt + 76%|██████████████████████▉ | 6885/9000 [5:48:55<2:40:47, 4.56s/it][Dataset] cur_step=6885 phase=C_full_covt +[Dataset] cur_step=6885 phase=C_full_covt[Dataset] cur_step=6885 phase=C_full_covt + + {'loss': '3.091', 'grad_norm': '1.944', 'learning_rate': '7.177e-06', 'epoch': '0.2477'} + 76%|██████████████████████▉ | 6885/9000 [5:48:55<2:40:47, 4.56s/it] {'lm_loss': '0.4426', 'visual_loss': '2.756', 'seg_loss': '0.7776', 'dino_loss': '0.929', 'depth_loss': '0.3588', 'vggt_mse_loss': '0.356', 'vggt_cos_loss': '0.02745', 'pidinet_loss': '0.2533', 'siglip_loss': '0.4371', 'epoch': '0.2477'} + 76%|██████████████████████▉ | 6885/9000 [5:48:58<2:40:47, 4.56s/it][Dataset] cur_step=6886 phase=C_full_covt +[Dataset] cur_step=6886 phase=C_full_covt[Dataset] cur_step=6886 phase=C_full_covt + +[Dataset] cur_step=6886 phase=C_full_covt +[Dataset] cur_step=6886 phase=C_full_covt 77%|██████████████████████▉ | 6886/9000 [5:48:59<2:32:34, 4.33s/it] +[Dataset] cur_step=6886 phase=C_full_covt +[Dataset] cur_step=6886 phase=C_full_covt +[Dataset] cur_step=6886 phase=C_full_covt + {'loss': '3.044', 'grad_norm': '2.8', 'learning_rate': '7.17e-06', 'epoch': '0.2477'} + 77%|██████████████████████▉ | 6886/9000 [5:48:59<2:32:34, 4.33s/it] {'lm_loss': '0.5449', 'visual_loss': '2.285', 'seg_loss': '0.5894', 'dino_loss': '0.8869', 'depth_loss': '0.2137', 'vggt_mse_loss': '0.2123', 'vggt_cos_loss': '0.01402', 'pidinet_loss': '0.174', 'siglip_loss': '0.4214', 'epoch': '0.2477'} + 77%|██████████████████████▉ | 6886/9000 [5:49:02<2:32:34, 4.33s/it][Dataset] cur_step=6887 phase=C_full_covt +[Dataset] cur_step=6887 phase=C_full_covt +[Dataset] cur_step=6887 phase=C_full_covt[Dataset] cur_step=6887 phase=C_full_covt + + 77%|██████████████████████▉ | 6887/9000 [5:49:03<2:28:18, 4.21s/it][Dataset] cur_step=6887 phase=C_full_covt[Dataset] cur_step=6887 phase=C_full_covt + +[Dataset] cur_step=6887 phase=C_full_covt +[Dataset] cur_step=6887 phase=C_full_covt + {'loss': '3.041', 'grad_norm': '3.689', 'learning_rate': '7.164e-06', 'epoch': '0.2478'} + 77%|██████████████████████▉ | 6887/9000 [5:49:03<2:28:18, 4.21s/it] {'lm_loss': '0.7614', 'visual_loss': '2.584', 'seg_loss': '0.8387', 'dino_loss': '0.9035', 'depth_loss': '0.2068', 'vggt_mse_loss': '0.2053', 'vggt_cos_loss': '0.01532', 'pidinet_loss': '0.2628', 'siglip_loss': '0.3721', 'epoch': '0.2478'} + 77%|██████████████████████▉ | 6887/9000 [5:49:06<2:28:18, 4.21s/it][Dataset] cur_step=6888 phase=C_full_covt[Dataset] cur_step=6888 phase=C_full_covt + +[Dataset] cur_step=6888 phase=C_full_covt +[Dataset] cur_step=6888 phase=C_full_covt + 77%|██████████████████████▉ | 6888/9000 [5:49:07<2:28:21, 4.21s/it][Dataset] cur_step=6888 phase=C_full_covt[Dataset] cur_step=6888 phase=C_full_covt + +[Dataset] cur_step=6888 phase=C_full_covt +[Dataset] cur_step=6888 phase=C_full_covt + {'loss': '3.002', 'grad_norm': '2.262', 'learning_rate': '7.157e-06', 'epoch': '0.2478'} + 77%|██████████████████████▉ | 6888/9000 [5:49:07<2:28:21, 4.21s/it] {'lm_loss': '0.0292', 'visual_loss': '2.774', 'seg_loss': '0.7942', 'dino_loss': '0.9343', 'depth_loss': '0.2397', 'vggt_mse_loss': '0.2384', 'vggt_cos_loss': '0.01331', 'pidinet_loss': '0.2781', 'siglip_loss': '0.5281', 'epoch': '0.2478'} + 77%|██████████████████████▉ | 6888/9000 [5:49:10<2:28:21, 4.21s/it][Dataset] cur_step=6889 phase=C_full_covt +[Dataset] cur_step=6889 phase=C_full_covt +[Dataset] cur_step=6889 phase=C_full_covt +[Dataset] cur_step=6889 phase=C_full_covt[Dataset] cur_step=6889 phase=C_full_covt + +[Dataset] cur_step=6889 phase=C_full_covt +[Dataset] cur_step=6889 phase=C_full_covt +[Dataset] cur_step=6889 phase=C_full_covt + 77%|██████████████████████▉ | 6889/9000 [5:49:11<2:22:13, 4.04s/it] {'loss': '3.248', 'grad_norm': '3.04', 'learning_rate': '7.151e-06', 'epoch': '0.2478'} + 77%|██████████████████████▉ | 6889/9000 [5:49:11<2:22:13, 4.04s/it] {'lm_loss': '0.5187', 'visual_loss': '2.561', 'seg_loss': '0.7185', 'dino_loss': '0.887', 'depth_loss': '0.2547', 'vggt_mse_loss': '0.2529', 'vggt_cos_loss': '0.01803', 'pidinet_loss': '0.1876', 'siglip_loss': '0.513', 'epoch': '0.2478'} + 77%|██████████████████████▉ | 6889/9000 [5:49:14<2:22:13, 4.04s/it][Dataset] cur_step=6890 phase=C_full_covt +[Dataset] cur_step=6890 phase=C_full_covt +[Dataset] cur_step=6890 phase=C_full_covt[Dataset] cur_step=6890 phase=C_full_covt + +[Dataset] cur_step=6890 phase=C_full_covt + 77%|██████████████████████▉ | 6890/9000 [5:49:15<2:27:00, 4.18s/it][Dataset] cur_step=6890 phase=C_full_covt +[Dataset] cur_step=6890 phase=C_full_covt +[Dataset] cur_step=6890 phase=C_full_covt + {'loss': '2.717', 'grad_norm': '1.962', 'learning_rate': '7.145e-06', 'epoch': '0.2479'} + 77%|██████████████████████▉ | 6890/9000 [5:49:15<2:27:00, 4.18s/it] {'lm_loss': '0.008515', 'visual_loss': '2.367', 'seg_loss': '0.6815', 'dino_loss': '0.8392', 'depth_loss': '0.1548', 'vggt_mse_loss': '0.1539', 'vggt_cos_loss': '0.0093', 'pidinet_loss': '0.2403', 'siglip_loss': '0.4514', 'epoch': '0.2479'} + 77%|██████████████████████▉ | 6890/9000 [5:49:18<2:27:00, 4.18s/it][Dataset] cur_step=6891 phase=C_full_covt[Dataset] cur_step=6891 phase=C_full_covt + +[Dataset] cur_step=6891 phase=C_full_covt +[Dataset] cur_step=6891 phase=C_full_covt[Dataset] cur_step=6891 phase=C_full_covt +[Dataset] cur_step=6891 phase=C_full_covt + + 77%|██████████████████████▉ | 6891/9000 [5:49:19<2:26:15, 4.16s/it][Dataset] cur_step=6891 phase=C_full_covt +[Dataset] cur_step=6891 phase=C_full_covt + {'loss': '2.798', 'grad_norm': '1.91', 'learning_rate': '7.138e-06', 'epoch': '0.2479'} + 77%|██████████████████████▉ | 6891/9000 [5:49:19<2:26:15, 4.16s/it] {'lm_loss': '0.7885', 'visual_loss': '2.57', 'seg_loss': '0.7379', 'dino_loss': '0.9282', 'depth_loss': '0.2311', 'vggt_mse_loss': '0.2291', 'vggt_cos_loss': '0.01927', 'pidinet_loss': '0.2327', 'siglip_loss': '0.4397', 'epoch': '0.2479'} + 77%|██████████████████████▉ | 6891/9000 [5:49:23<2:26:15, 4.16s/it][Dataset] cur_step=6892 phase=C_full_covt[Dataset] cur_step=6892 phase=C_full_covt + +[Dataset] cur_step=6892 phase=C_full_covt + 77%|██████████████████████▉ | 6892/9000 [5:49:23<2:25:37, 4.15s/it][Dataset] cur_step=6892 phase=C_full_covt +[Dataset] cur_step=6892 phase=C_full_covt[Dataset] cur_step=6892 phase=C_full_covt + +[Dataset] cur_step=6892 phase=C_full_covt[Dataset] cur_step=6892 phase=C_full_covt + + {'loss': '3.132', 'grad_norm': '2.084', 'learning_rate': '7.132e-06', 'epoch': '0.2479'} + 77%|██████████████████████▉ | 6892/9000 [5:49:23<2:25:37, 4.15s/it] {'lm_loss': '0.5411', 'visual_loss': '2.868', 'seg_loss': '0.8438', 'dino_loss': '0.9082', 'depth_loss': '0.2754', 'vggt_mse_loss': '0.2732', 'vggt_cos_loss': '0.0219', 'pidinet_loss': '0.192', 'siglip_loss': '0.6483', 'epoch': '0.2479'} + 77%|██████████████████████▉ | 6892/9000 [5:49:26<2:25:37, 4.15s/it][Dataset] cur_step=6893 phase=C_full_covt +[Dataset] cur_step=6893 phase=C_full_covt +[Dataset] cur_step=6893 phase=C_full_covt +[Dataset] cur_step=6893 phase=C_full_covt[Dataset] cur_step=6893 phase=C_full_covt + +[Dataset] cur_step=6893 phase=C_full_covt +[Dataset] cur_step=6893 phase=C_full_covt + 77%|██████████████████████▉ | 6893/9000 [5:49:28<2:27:16, 4.19s/it][Dataset] cur_step=6893 phase=C_full_covt + {'loss': '3.221', 'grad_norm': '2.835', 'learning_rate': '7.125e-06', 'epoch': '0.248'} + 77%|██████████████████████▉ | 6893/9000 [5:49:28<2:27:16, 4.19s/it] {'lm_loss': '0.4868', 'visual_loss': '2.746', 'seg_loss': '0.7295', 'dino_loss': '0.9272', 'depth_loss': '0.1975', 'vggt_mse_loss': '0.1962', 'vggt_cos_loss': '0.01284', 'pidinet_loss': '0.2864', 'siglip_loss': '0.6058', 'epoch': '0.248'} + 77%|██████████████████████▉ | 6893/9000 [5:49:31<2:27:16, 4.19s/it][Dataset] cur_step=6894 phase=C_full_covt +[Dataset] cur_step=6894 phase=C_full_covt +[Dataset] cur_step=6894 phase=C_full_covt[Dataset] cur_step=6894 phase=C_full_covt + +[Dataset] cur_step=6894 phase=C_full_covt + 77%|██████████████████████▉ | 6894/9000 [5:49:32<2:27:58, 4.22s/it][Dataset] cur_step=6894 phase=C_full_covt +[Dataset] cur_step=6894 phase=C_full_covt +[Dataset] cur_step=6894 phase=C_full_covt + {'loss': '3.462', 'grad_norm': '3.128', 'learning_rate': '7.119e-06', 'epoch': '0.248'} + 77%|██████████████████████▉ | 6894/9000 [5:49:32<2:27:58, 4.22s/it] {'lm_loss': '0.1822', 'visual_loss': '2.524', 'seg_loss': '0.6722', 'dino_loss': '0.9041', 'depth_loss': '0.2253', 'vggt_mse_loss': '0.2236', 'vggt_cos_loss': '0.01656', 'pidinet_loss': '0.1932', 'siglip_loss': '0.5289', 'epoch': '0.248'} + 77%|██████████████████████▉ | 6894/9000 [5:49:35<2:27:58, 4.22s/it][Dataset] cur_step=6895 phase=C_full_covt +[Dataset] cur_step=6895 phase=C_full_covt +[Dataset] cur_step=6895 phase=C_full_covt +[Dataset] cur_step=6895 phase=C_full_covt + 77%|██████████████████████▉ | 6895/9000 [5:49:36<2:25:35, 4.15s/it][Dataset] cur_step=6895 phase=C_full_covt +[Dataset] cur_step=6895 phase=C_full_covt +[Dataset] cur_step=6895 phase=C_full_covt +[Dataset] cur_step=6895 phase=C_full_covt + {'loss': '3.285', 'grad_norm': '1.764', 'learning_rate': '7.112e-06', 'epoch': '0.248'} + 77%|██████████████████████▉ | 6895/9000 [5:49:36<2:25:35, 4.15s/it] {'lm_loss': '0.0161', 'visual_loss': '2.586', 'seg_loss': '0.7737', 'dino_loss': '0.8973', 'depth_loss': '0.1694', 'vggt_mse_loss': '0.1684', 'vggt_cos_loss': '0.01012', 'pidinet_loss': '0.2542', 'siglip_loss': '0.4909', 'epoch': '0.248'} + 77%|██████████████████████▉ | 6895/9000 [5:49:39<2:25:35, 4.15s/it][Dataset] cur_step=6896 phase=C_full_covt +[Dataset] cur_step=6896 phase=C_full_covt +[Dataset] cur_step=6896 phase=C_full_covt +[Dataset] cur_step=6896 phase=C_full_covt +[Dataset] cur_step=6896 phase=C_full_covt[Dataset] cur_step=6896 phase=C_full_covt + +[Dataset] cur_step=6896 phase=C_full_covt +[Dataset] cur_step=6896 phase=C_full_covt + 77%|██████████████████████▉ | 6896/9000 [5:49:40<2:26:59, 4.19s/it] {'loss': '2.956', 'grad_norm': '5.681', 'learning_rate': '7.106e-06', 'epoch': '0.2481'} + 77%|██████████████████████▉ | 6896/9000 [5:49:40<2:26:59, 4.19s/it] {'lm_loss': '0.3909', 'visual_loss': '2.65', 'seg_loss': '0.7997', 'dino_loss': '0.8943', 'depth_loss': '0.2783', 'vggt_mse_loss': '0.276', 'vggt_cos_loss': '0.02285', 'pidinet_loss': '0.1468', 'siglip_loss': '0.5314', 'epoch': '0.2481'} + 77%|██████████████████████▉ | 6896/9000 [5:49:43<2:26:59, 4.19s/it][Dataset] cur_step=6897 phase=C_full_covt +[Dataset] cur_step=6897 phase=C_full_covt[Dataset] cur_step=6897 phase=C_full_covt + +[Dataset] cur_step=6897 phase=C_full_covt +[Dataset] cur_step=6897 phase=C_full_covt[Dataset] cur_step=6897 phase=C_full_covt + +[Dataset] cur_step=6897 phase=C_full_covt +[Dataset] cur_step=6897 phase=C_full_covt + 77%|██████████████████████▉ | 6897/9000 [5:49:44<2:27:02, 4.20s/it] {'loss': '3.014', 'grad_norm': '1.961', 'learning_rate': '7.1e-06', 'epoch': '0.2481'} + 77%|██████████████████████▉ | 6897/9000 [5:49:44<2:27:02, 4.20s/it] {'lm_loss': '0.675', 'visual_loss': '2.695', 'seg_loss': '0.7748', 'dino_loss': '0.9331', 'depth_loss': '0.2224', 'vggt_mse_loss': '0.2209', 'vggt_cos_loss': '0.01474', 'pidinet_loss': '0.2153', 'siglip_loss': '0.5496', 'epoch': '0.2481'} + 77%|██████████████████████▉ | 6897/9000 [5:49:48<2:27:02, 4.20s/it][Dataset] cur_step=6898 phase=C_full_covt +[Dataset] cur_step=6898 phase=C_full_covt +[Dataset] cur_step=6898 phase=C_full_covt +[Dataset] cur_step=6898 phase=C_full_covt +[Dataset] cur_step=6898 phase=C_full_covt +[Dataset] cur_step=6898 phase=C_full_covt[Dataset] cur_step=6898 phase=C_full_covt + + 77%|██████████████████████▉ | 6898/9000 [5:49:50<2:44:11, 4.69s/it][Dataset] cur_step=6898 phase=C_full_covt + {'loss': '3.133', 'grad_norm': '2.526', 'learning_rate': '7.093e-06', 'epoch': '0.2482'} + 77%|██████████████████████▉ | 6898/9000 [5:49:50<2:44:11, 4.69s/it] {'lm_loss': '0.7256', 'visual_loss': '2.475', 'seg_loss': '0.6156', 'dino_loss': '0.8665', 'depth_loss': '0.251', 'vggt_mse_loss': '0.2492', 'vggt_cos_loss': '0.01869', 'pidinet_loss': '0.2268', 'siglip_loss': '0.5155', 'epoch': '0.2482'} + 77%|██████████████████████▉ | 6898/9000 [5:49:54<2:44:11, 4.69s/it][Dataset] cur_step=6899 phase=C_full_covt +[Dataset] cur_step=6899 phase=C_full_covt +[Dataset] cur_step=6899 phase=C_full_covt +[Dataset] cur_step=6899 phase=C_full_covt + 77%|██████████████████████▉ | 6899/9000 [5:49:54<2:38:19, 4.52s/it][Dataset] cur_step=6899 phase=C_full_covt +[Dataset] cur_step=6899 phase=C_full_covt +[Dataset] cur_step=6899 phase=C_full_covt +[Dataset] cur_step=6899 phase=C_full_covt + {'loss': '3.045', 'grad_norm': '1.917', 'learning_rate': '7.087e-06', 'epoch': '0.2482'} + 77%|██████████████████████▉ | 6899/9000 [5:49:54<2:38:19, 4.52s/it] {'lm_loss': '0.007857', 'visual_loss': '2.787', 'seg_loss': '0.8498', 'dino_loss': '0.9211', 'depth_loss': '0.2432', 'vggt_mse_loss': '0.2413', 'vggt_cos_loss': '0.01929', 'pidinet_loss': '0.2598', 'siglip_loss': '0.5133', 'epoch': '0.2482'} + 77%|██████████████████████▉ | 6899/9000 [5:49:57<2:38:19, 4.52s/it][Dataset] cur_step=6900 phase=C_full_covt +[Dataset] cur_step=6900 phase=C_full_covt +[Dataset] cur_step=6900 phase=C_full_covt +[Dataset] cur_step=6900 phase=C_full_covt +[Dataset] cur_step=6900 phase=C_full_covt +[Dataset] cur_step=6900 phase=C_full_covt + 77%|███████████████████████ | 6900/9000 [5:49:58<2:32:56, 4.37s/it][Dataset] cur_step=6900 phase=C_full_covt +[Dataset] cur_step=6900 phase=C_full_covt + {'loss': '3.154', 'grad_norm': '2.012', 'learning_rate': '7.08e-06', 'epoch': '0.2482'} + 77%|███████████████████████ | 6900/9000 [5:49:58<2:32:56, 4.37s/it] {'lm_loss': '0.3734', 'visual_loss': '2.518', 'seg_loss': '0.6039', 'dino_loss': '0.9062', 'depth_loss': '0.2046', 'vggt_mse_loss': '0.2032', 'vggt_cos_loss': '0.01418', 'pidinet_loss': '0.2165', 'siglip_loss': '0.5864', 'epoch': '0.2482'} + 77%|███████████████████████ | 6900/9000 [5:50:02<2:32:56, 4.37s/it][Dataset] cur_step=6901 phase=C_full_covt +[Dataset] cur_step=6901 phase=C_full_covt +[Dataset] cur_step=6901 phase=C_full_covt + 77%|███████████████████████ | 6901/9000 [5:50:02<2:28:11, 4.24s/it][Dataset] cur_step=6901 phase=C_full_covt +[Dataset] cur_step=6901 phase=C_full_covt[Dataset] cur_step=6901 phase=C_full_covt + +[Dataset] cur_step=6901 phase=C_full_covt +[Dataset] cur_step=6901 phase=C_full_covt + {'loss': '3.03', 'grad_norm': '1.712', 'learning_rate': '7.074e-06', 'epoch': '0.2483'} + 77%|███████████████████████ | 6901/9000 [5:50:02<2:28:11, 4.24s/it] {'lm_loss': '0.2975', 'visual_loss': '2.685', 'seg_loss': '0.664', 'dino_loss': '0.9021', 'depth_loss': '0.2423', 'vggt_mse_loss': '0.2406', 'vggt_cos_loss': '0.01706', 'pidinet_loss': '0.2279', 'siglip_loss': '0.6491', 'epoch': '0.2483'} + 77%|███████████████████████ | 6901/9000 [5:50:06<2:28:11, 4.24s/it][Dataset] cur_step=6902 phase=C_full_covt + 77%|███████████████████████ | 6902/9000 [5:50:06<2:25:10, 4.15s/it][Dataset] cur_step=6902 phase=C_full_covt +[Dataset] cur_step=6902 phase=C_full_covt +[Dataset] cur_step=6902 phase=C_full_covt +[Dataset] cur_step=6902 phase=C_full_covt[Dataset] cur_step=6902 phase=C_full_covt +[Dataset] cur_step=6902 phase=C_full_covt + +[Dataset] cur_step=6902 phase=C_full_covt + {'loss': '3.319', 'grad_norm': '1.66', 'learning_rate': '7.068e-06', 'epoch': '0.2483'} + 77%|███████████████████████ | 6902/9000 [5:50:06<2:25:10, 4.15s/it] {'lm_loss': '0.4866', 'visual_loss': '2.686', 'seg_loss': '0.7217', 'dino_loss': '0.9291', 'depth_loss': '0.2611', 'vggt_mse_loss': '0.2587', 'vggt_cos_loss': '0.02455', 'pidinet_loss': '0.2576', 'siglip_loss': '0.5161', 'epoch': '0.2483'} + 77%|███████████████████████ | 6902/9000 [5:50:09<2:25:10, 4.15s/it][Dataset] cur_step=6903 phase=C_full_covt +[Dataset] cur_step=6903 phase=C_full_covt +[Dataset] cur_step=6903 phase=C_full_covt + 77%|███████████████████████ | 6903/9000 [5:50:10<2:23:46, 4.11s/it][Dataset] cur_step=6903 phase=C_full_covt +[Dataset] cur_step=6903 phase=C_full_covt +[Dataset] cur_step=6903 phase=C_full_covt +[Dataset] cur_step=6903 phase=C_full_covt +[Dataset] cur_step=6903 phase=C_full_covt + {'loss': '3.015', 'grad_norm': '2.811', 'learning_rate': '7.061e-06', 'epoch': '0.2483'} + 77%|███████████████████████ | 6903/9000 [5:50:10<2:23:46, 4.11s/it] {'lm_loss': '0.3135', 'visual_loss': '2.438', 'seg_loss': '0.7397', 'dino_loss': '0.9189', 'depth_loss': '0.227', 'vggt_mse_loss': '0.2254', 'vggt_cos_loss': '0.01615', 'pidinet_loss': '0.1472', 'siglip_loss': '0.4049', 'epoch': '0.2483'} + 77%|███████████████████████ | 6903/9000 [5:50:14<2:23:46, 4.11s/it][Dataset] cur_step=6904 phase=C_full_covt +[Dataset] cur_step=6904 phase=C_full_covt +[Dataset] cur_step=6904 phase=C_full_covt[Dataset] cur_step=6904 phase=C_full_covt + +[Dataset] cur_step=6904 phase=C_full_covt +[Dataset] cur_step=6904 phase=C_full_covt +[Dataset] cur_step=6904 phase=C_full_covt + 77%|███████████████████████ | 6904/9000 [5:50:14<2:23:56, 4.12s/it][Dataset] cur_step=6904 phase=C_full_covt + {'loss': '3.028', 'grad_norm': '4.945', 'learning_rate': '7.055e-06', 'epoch': '0.2484'} + 77%|███████████████████████ | 6904/9000 [5:50:14<2:23:56, 4.12s/it] {'lm_loss': '0.001616', 'visual_loss': '2.451', 'seg_loss': '0.5239', 'dino_loss': '0.8963', 'depth_loss': '0.2178', 'vggt_mse_loss': '0.2163', 'vggt_cos_loss': '0.0154', 'pidinet_loss': '0.2659', 'siglip_loss': '0.547', 'epoch': '0.2484'} + 77%|███████████████████████ | 6904/9000 [5:50:18<2:23:56, 4.12s/it][Dataset] cur_step=6905 phase=C_full_covt +[Dataset] cur_step=6905 phase=C_full_covt +[Dataset] cur_step=6905 phase=C_full_covt +[Dataset] cur_step=6905 phase=C_full_covt +[Dataset] cur_step=6905 phase=C_full_covt[Dataset] cur_step=6905 phase=C_full_covt +[Dataset] cur_step=6905 phase=C_full_covt + + 77%|███████████████████████ | 6905/9000 [5:50:18<2:21:54, 4.06s/it][Dataset] cur_step=6905 phase=C_full_covt + {'loss': '2.917', 'grad_norm': '2.981', 'learning_rate': '7.048e-06', 'epoch': '0.2484'} + 77%|███████████████████████ | 6905/9000 [5:50:18<2:21:54, 4.06s/it] {'lm_loss': '0.3259', 'visual_loss': '2.379', 'seg_loss': '0.6724', 'dino_loss': '0.9192', 'depth_loss': '0.243', 'vggt_mse_loss': '0.2414', 'vggt_cos_loss': '0.01585', 'pidinet_loss': '0.1952', 'siglip_loss': '0.349', 'epoch': '0.2484'} + 77%|███████████████████████ | 6905/9000 [5:50:22<2:21:54, 4.06s/it][Dataset] cur_step=6906 phase=C_full_covt +[Dataset] cur_step=6906 phase=C_full_covt +[Dataset] cur_step=6906 phase=C_full_covt +[Dataset] cur_step=6906 phase=C_full_covt +[Dataset] cur_step=6906 phase=C_full_covt + 77%|███████████████████████ | 6906/9000 [5:50:25<2:45:35, 4.74s/it][Dataset] cur_step=6906 phase=C_full_covt +[Dataset] cur_step=6906 phase=C_full_covt +[Dataset] cur_step=6906 phase=C_full_covt + {'loss': '3.163', 'grad_norm': '2.075', 'learning_rate': '7.042e-06', 'epoch': '0.2484'} + 77%|███████████████████████ | 6906/9000 [5:50:25<2:45:35, 4.74s/it] {'lm_loss': '0.3559', 'visual_loss': '2.732', 'seg_loss': '0.7231', 'dino_loss': '0.8991', 'depth_loss': '0.331', 'vggt_mse_loss': '0.3285', 'vggt_cos_loss': '0.02453', 'pidinet_loss': '0.2669', 'siglip_loss': '0.5121', 'epoch': '0.2484'} + 77%|███████████████████████ | 6906/9000 [5:50:28<2:45:35, 4.74s/it][Dataset] cur_step=6907 phase=C_full_covt +[Dataset] cur_step=6907 phase=C_full_covt[Dataset] cur_step=6907 phase=C_full_covt + +[Dataset] cur_step=6907 phase=C_full_covt +[Dataset] cur_step=6907 phase=C_full_covt +[Dataset] cur_step=6907 phase=C_full_covt +[Dataset] cur_step=6907 phase=C_full_covt +[Dataset] cur_step=6907 phase=C_full_covt + 77%|███████████████████████ | 6907/9000 [5:50:29<2:37:24, 4.51s/it] {'loss': '3.079', 'grad_norm': '2.408', 'learning_rate': '7.036e-06', 'epoch': '0.2485'} + 77%|███████████████████████ | 6907/9000 [5:50:29<2:37:24, 4.51s/it] {'lm_loss': '0.6588', 'visual_loss': '2.674', 'seg_loss': '0.6996', 'dino_loss': '0.9228', 'depth_loss': '0.2566', 'vggt_mse_loss': '0.2547', 'vggt_cos_loss': '0.01895', 'pidinet_loss': '0.2467', 'siglip_loss': '0.5485', 'epoch': '0.2485'} + 77%|███████████████████████ | 6907/9000 [5:50:31<2:37:24, 4.51s/it][Dataset] cur_step=6908 phase=C_full_covt +[Dataset] cur_step=6908 phase=C_full_covt +[Dataset] cur_step=6908 phase=C_full_covt[Dataset] cur_step=6908 phase=C_full_covt + +[Dataset] cur_step=6908 phase=C_full_covt +[Dataset] cur_step=6908 phase=C_full_covt[Dataset] cur_step=6908 phase=C_full_covt + + 77%|███████████████████████ | 6908/9000 [5:50:35<2:55:16, 5.03s/it][Dataset] cur_step=6908 phase=C_full_covt + {'loss': '2.947', 'grad_norm': '1.744', 'learning_rate': '7.029e-06', 'epoch': '0.2485'} + 77%|███████████████████████ | 6908/9000 [5:50:35<2:55:16, 5.03s/it] {'lm_loss': '0.2284', 'visual_loss': '2.754', 'seg_loss': '0.776', 'dino_loss': '0.8912', 'depth_loss': '0.2436', 'vggt_mse_loss': '0.242', 'vggt_cos_loss': '0.01579', 'pidinet_loss': '0.3169', 'siglip_loss': '0.5266', 'epoch': '0.2485'} + 77%|███████████████████████ | 6908/9000 [5:50:38<2:55:16, 5.03s/it][Dataset] cur_step=6909 phase=C_full_covt[Dataset] cur_step=6909 phase=C_full_covt + +[Dataset] cur_step=6909 phase=C_full_covt +[Dataset] cur_step=6909 phase=C_full_covt +[Dataset] cur_step=6909 phase=C_full_covt +[Dataset] cur_step=6909 phase=C_full_covt +[Dataset] cur_step=6909 phase=C_full_covt + 77%|███████████████████████ | 6909/9000 [5:50:39<2:44:50, 4.73s/it][Dataset] cur_step=6909 phase=C_full_covt + {'loss': '3.107', 'grad_norm': '2.152', 'learning_rate': '7.023e-06', 'epoch': '0.2486'} + 77%|███████████████████████ | 6909/9000 [5:50:39<2:44:50, 4.73s/it] {'lm_loss': '0.03437', 'visual_loss': '2.552', 'seg_loss': '0.6382', 'dino_loss': '0.9314', 'depth_loss': '0.219', 'vggt_mse_loss': '0.2174', 'vggt_cos_loss': '0.01563', 'pidinet_loss': '0.2481', 'siglip_loss': '0.5152', 'epoch': '0.2486'} + 77%|███████████████████████ | 6909/9000 [5:50:42<2:44:50, 4.73s/it][Dataset] cur_step=6910 phase=C_full_covt[Dataset] cur_step=6910 phase=C_full_covt + +[Dataset] cur_step=6910 phase=C_full_covt + 77%|███████████████████████ | 6910/9000 [5:50:43<2:38:37, 4.55s/it][Dataset] cur_step=6910 phase=C_full_covt +[Dataset] cur_step=6910 phase=C_full_covt +[Dataset] cur_step=6910 phase=C_full_covt +[Dataset] cur_step=6910 phase=C_full_covt +[Dataset] cur_step=6910 phase=C_full_covt + {'loss': '2.806', 'grad_norm': '1.473', 'learning_rate': '7.017e-06', 'epoch': '0.2486'} + 77%|███████████████████████ | 6910/9000 [5:50:43<2:38:37, 4.55s/it] {'lm_loss': '0.3075', 'visual_loss': '2.804', 'seg_loss': '0.7955', 'dino_loss': '0.9517', 'depth_loss': '0.266', 'vggt_mse_loss': '0.2644', 'vggt_cos_loss': '0.01608', 'pidinet_loss': '0.2851', 'siglip_loss': '0.5057', 'epoch': '0.2486'} + 77%|███████████████████████ | 6910/9000 [5:50:46<2:38:37, 4.55s/it][Dataset] cur_step=6911 phase=C_full_covt +[Dataset] cur_step=6911 phase=C_full_covt +[Dataset] cur_step=6911 phase=C_full_covt +[Dataset] cur_step=6911 phase=C_full_covt[Dataset] cur_step=6911 phase=C_full_covt + +[Dataset] cur_step=6911 phase=C_full_covt[Dataset] cur_step=6911 phase=C_full_covt[Dataset] cur_step=6911 phase=C_full_covt + + + 77%|███████████████████████ | 6911/9000 [5:50:47<2:30:19, 4.32s/it] {'loss': '3.286', 'grad_norm': '2.985', 'learning_rate': '7.01e-06', 'epoch': '0.2486'} + 77%|███████████████████████ | 6911/9000 [5:50:47<2:30:19, 4.32s/it] {'lm_loss': '0.3391', 'visual_loss': '2.684', 'seg_loss': '0.754', 'dino_loss': '0.8962', 'depth_loss': '0.2092', 'vggt_mse_loss': '0.2077', 'vggt_cos_loss': '0.01421', 'pidinet_loss': '0.2739', 'siglip_loss': '0.5504', 'epoch': '0.2486'} + 77%|███████████████████████ | 6911/9000 [5:50:50<2:30:19, 4.32s/it][Dataset] cur_step=6912 phase=C_full_covt +[Dataset] cur_step=6912 phase=C_full_covt +[Dataset] cur_step=6912 phase=C_full_covt +[Dataset] cur_step=6912 phase=C_full_covt +[Dataset] cur_step=6912 phase=C_full_covt +[Dataset] cur_step=6912 phase=C_full_covt +[Dataset] cur_step=6912 phase=C_full_covt[Dataset] cur_step=6912 phase=C_full_covt + + 77%|███████████████████████ | 6912/9000 [5:50:51<2:23:37, 4.13s/it] {'loss': '3.003', 'grad_norm': '3.316', 'learning_rate': '7.004e-06', 'epoch': '0.2487'} + 77%|███████████████████████ | 6912/9000 [5:50:51<2:23:37, 4.13s/it] {'lm_loss': '0.4744', 'visual_loss': '2.761', 'seg_loss': '0.6232', 'dino_loss': '0.94', 'depth_loss': '0.4225', 'vggt_mse_loss': '0.419', 'vggt_cos_loss': '0.03508', 'pidinet_loss': '0.2563', 'siglip_loss': '0.5194', 'epoch': '0.2487'} + 77%|███████████████████████ | 6912/9000 [5:50:54<2:23:37, 4.13s/it][Dataset] cur_step=6913 phase=C_full_covt +[Dataset] cur_step=6913 phase=C_full_covt +[Dataset] cur_step=6913 phase=C_full_covt +[Dataset] cur_step=6913 phase=C_full_covt[Dataset] cur_step=6913 phase=C_full_covt + + 77%|███████████████████████ | 6913/9000 [5:50:55<2:24:59, 4.17s/it][Dataset] cur_step=6913 phase=C_full_covt +[Dataset] cur_step=6913 phase=C_full_covt +[Dataset] cur_step=6913 phase=C_full_covt + {'loss': '3.098', 'grad_norm': '2.628', 'learning_rate': '6.997e-06', 'epoch': '0.2487'} + 77%|███████████████████████ | 6913/9000 [5:50:55<2:24:59, 4.17s/it] {'lm_loss': '0.8878', 'visual_loss': '2.823', 'seg_loss': '0.703', 'dino_loss': '0.9086', 'depth_loss': '0.2264', 'vggt_mse_loss': '0.2249', 'vggt_cos_loss': '0.01482', 'pidinet_loss': '0.2624', 'siglip_loss': '0.723', 'epoch': '0.2487'} + 77%|███████████████████████ | 6913/9000 [5:50:58<2:24:59, 4.17s/it][Dataset] cur_step=6914 phase=C_full_covt[Dataset] cur_step=6914 phase=C_full_covt + +[Dataset] cur_step=6914 phase=C_full_covt +[Dataset] cur_step=6914 phase=C_full_covt +[Dataset] cur_step=6914 phase=C_full_covt[Dataset] cur_step=6914 phase=C_full_covt + +[Dataset] cur_step=6914 phase=C_full_covt + 77%|███████████████████████ | 6914/9000 [5:51:01<2:45:50, 4.77s/it][Dataset] cur_step=6914 phase=C_full_covt + {'loss': '3.32', 'grad_norm': '8.365', 'learning_rate': '6.991e-06', 'epoch': '0.2487'} + 77%|███████████████████████ | 6914/9000 [5:51:01<2:45:50, 4.77s/it] {'lm_loss': '0.6857', 'visual_loss': '2.697', 'seg_loss': '0.8037', 'dino_loss': '0.8995', 'depth_loss': '0.2234', 'vggt_mse_loss': '0.2218', 'vggt_cos_loss': '0.01553', 'pidinet_loss': '0.2446', 'siglip_loss': '0.5255', 'epoch': '0.2487'} + 77%|███████████████████████ | 6914/9000 [5:51:04<2:45:50, 4.77s/it][Dataset] cur_step=6915 phase=C_full_covt +[Dataset] cur_step=6915 phase=C_full_covt +[Dataset] cur_step=6915 phase=C_full_covt +[Dataset] cur_step=6915 phase=C_full_covt +[Dataset] cur_step=6915 phase=C_full_covt[Dataset] cur_step=6915 phase=C_full_covt + +[Dataset] cur_step=6915 phase=C_full_covt + 77%|███████████████████████ | 6915/9000 [5:51:05<2:34:36, 4.45s/it][Dataset] cur_step=6915 phase=C_full_covt + {'loss': '2.993', 'grad_norm': '1.959', 'learning_rate': '6.985e-06', 'epoch': '0.2488'} + 77%|███████████████████████ | 6915/9000 [5:51:05<2:34:36, 4.45s/it] {'lm_loss': '0.7112', 'visual_loss': '2.622', 'seg_loss': '0.7354', 'dino_loss': '0.9296', 'depth_loss': '0.2041', 'vggt_mse_loss': '0.2026', 'vggt_cos_loss': '0.01507', 'pidinet_loss': '0.2329', 'siglip_loss': '0.5197', 'epoch': '0.2488'} + 77%|███████████████████████ | 6915/9000 [5:51:08<2:34:36, 4.45s/it][Dataset] cur_step=6916 phase=C_full_covt +[Dataset] cur_step=6916 phase=C_full_covt +[Dataset] cur_step=6916 phase=C_full_covt +[Dataset] cur_step=6916 phase=C_full_covt +[Dataset] cur_step=6916 phase=C_full_covt + 77%|███████████████████████ | 6916/9000 [5:51:08<2:24:29, 4.16s/it][Dataset] cur_step=6916 phase=C_full_covt +[Dataset] cur_step=6916 phase=C_full_covt +[Dataset] cur_step=6916 phase=C_full_covt + {'loss': '3.147', 'grad_norm': '2.637', 'learning_rate': '6.978e-06', 'epoch': '0.2488'} + 77%|███████████████████████ | 6916/9000 [5:51:08<2:24:29, 4.16s/it] {'lm_loss': '0.7448', 'visual_loss': '2.713', 'seg_loss': '0.7207', 'dino_loss': '0.8958', 'depth_loss': '0.2462', 'vggt_mse_loss': '0.2446', 'vggt_cos_loss': '0.0158', 'pidinet_loss': '0.264', 'siglip_loss': '0.5865', 'epoch': '0.2488'} + 77%|███████████████████████ | 6916/9000 [5:51:12<2:24:29, 4.16s/it][Dataset] cur_step=6917 phase=C_full_covt +[Dataset] cur_step=6917 phase=C_full_covt +[Dataset] cur_step=6917 phase=C_full_covt +[Dataset] cur_step=6917 phase=C_full_covt +[Dataset] cur_step=6917 phase=C_full_covt +[Dataset] cur_step=6917 phase=C_full_covt[Dataset] cur_step=6917 phase=C_full_covt + +[Dataset] cur_step=6917 phase=C_full_covt + 77%|███████████████████████ | 6917/9000 [5:51:14<2:42:11, 4.67s/it] {'loss': '3.192', 'grad_norm': '3.172', 'learning_rate': '6.972e-06', 'epoch': '0.2488'} + 77%|███████████████████████ | 6917/9000 [5:51:14<2:42:11, 4.67s/it] {'lm_loss': '0.5394', 'visual_loss': '3.016', 'seg_loss': '0.8497', 'dino_loss': '0.9324', 'depth_loss': '0.3413', 'vggt_mse_loss': '0.3385', 'vggt_cos_loss': '0.02886', 'pidinet_loss': '0.226', 'siglip_loss': '0.6665', 'epoch': '0.2488'} + 77%|███████████████████████ | 6917/9000 [5:51:17<2:42:11, 4.67s/it][Dataset] cur_step=6918 phase=C_full_covt +[Dataset] cur_step=6918 phase=C_full_covt +[Dataset] cur_step=6918 phase=C_full_covt + 77%|███████████████████████ | 6918/9000 [5:51:18<2:31:17, 4.36s/it][Dataset] cur_step=6918 phase=C_full_covt +[Dataset] cur_step=6918 phase=C_full_covt +[Dataset] cur_step=6918 phase=C_full_covt +[Dataset] cur_step=6918 phase=C_full_covt +[Dataset] cur_step=6918 phase=C_full_covt + {'loss': '3.085', 'grad_norm': '3.239', 'learning_rate': '6.966e-06', 'epoch': '0.2489'} + 77%|███████████████████████ | 6918/9000 [5:51:18<2:31:17, 4.36s/it] {'lm_loss': '0.5694', 'visual_loss': '3.003', 'seg_loss': '0.6979', 'dino_loss': '0.9209', 'depth_loss': '0.4409', 'vggt_mse_loss': '0.4375', 'vggt_cos_loss': '0.03463', 'pidinet_loss': '0.2628', 'siglip_loss': '0.6808', 'epoch': '0.2489'} + 77%|███████████████████████ | 6918/9000 [5:51:21<2:31:17, 4.36s/it][Dataset] cur_step=6919 phase=C_full_covt +[Dataset] cur_step=6919 phase=C_full_covt +[Dataset] cur_step=6919 phase=C_full_covt +[Dataset] cur_step=6919 phase=C_full_covt +[Dataset] cur_step=6919 phase=C_full_covt +[Dataset] cur_step=6919 phase=C_full_covt +[Dataset] cur_step=6919 phase=C_full_covt + 77%|███████████████████████ | 6919/9000 [5:51:22<2:30:45, 4.35s/it][Dataset] cur_step=6919 phase=C_full_covt + {'loss': '3.417', 'grad_norm': '14.65', 'learning_rate': '6.959e-06', 'epoch': '0.2489'} + 77%|███████████████████████ | 6919/9000 [5:51:22<2:30:45, 4.35s/it] {'lm_loss': '0.3725', 'visual_loss': '2.63', 'seg_loss': '0.7399', 'dino_loss': '0.9037', 'depth_loss': '0.3576', 'vggt_mse_loss': '0.3551', 'vggt_cos_loss': '0.02526', 'pidinet_loss': '0.1826', 'siglip_loss': '0.4466', 'epoch': '0.2489'} + 77%|███████████████████████ | 6919/9000 [5:51:25<2:30:45, 4.35s/it][Dataset] cur_step=6920 phase=C_full_covt +[Dataset] cur_step=6920 phase=C_full_covt[Dataset] cur_step=6920 phase=C_full_covt + + 77%|███████████████████████ | 6920/9000 [5:51:26<2:28:16, 4.28s/it][Dataset] cur_step=6920 phase=C_full_covt[Dataset] cur_step=6920 phase=C_full_covt + +[Dataset] cur_step=6920 phase=C_full_covt +[Dataset] cur_step=6920 phase=C_full_covt +[Dataset] cur_step=6920 phase=C_full_covt + {'loss': '3.342', 'grad_norm': '2.932', 'learning_rate': '6.953e-06', 'epoch': '0.2489'} + 77%|███████████████████████ | 6920/9000 [5:51:26<2:28:16, 4.28s/it] {'lm_loss': '0.02663', 'visual_loss': '2.702', 'seg_loss': '0.7842', 'dino_loss': '0.9176', 'depth_loss': '0.2974', 'vggt_mse_loss': '0.2951', 'vggt_cos_loss': '0.02369', 'pidinet_loss': '0.2647', 'siglip_loss': '0.4385', 'epoch': '0.2489'} + 77%|███████████████████████ | 6920/9000 [5:51:29<2:28:16, 4.28s/it][Dataset] cur_step=6921 phase=C_full_covt +[Dataset] cur_step=6921 phase=C_full_covt[Dataset] cur_step=6921 phase=C_full_covt + +[Dataset] cur_step=6921 phase=C_full_covt[Dataset] cur_step=6921 phase=C_full_covt + +[Dataset] cur_step=6921 phase=C_full_covt +[Dataset] cur_step=6921 phase=C_full_covt 77%|███████████████████████ | 6921/9000 [5:51:30<2:22:49, 4.12s/it] +[Dataset] cur_step=6921 phase=C_full_covt + {'loss': '2.941', 'grad_norm': '1.547', 'learning_rate': '6.946e-06', 'epoch': '0.249'} + 77%|███████████████████████ | 6921/9000 [5:51:30<2:22:49, 4.12s/it] {'lm_loss': '0.009322', 'visual_loss': '2.496', 'seg_loss': '0.708', 'dino_loss': '0.9203', 'depth_loss': '0.2096', 'vggt_mse_loss': '0.2083', 'vggt_cos_loss': '0.01256', 'pidinet_loss': '0.2325', 'siglip_loss': '0.4259', 'epoch': '0.249'} + 77%|███████████████████████ | 6921/9000 [5:51:33<2:22:49, 4.12s/it][Dataset] cur_step=6922 phase=C_full_covt +[Dataset] cur_step=6922 phase=C_full_covt +[Dataset] cur_step=6922 phase=C_full_covt +[Dataset] cur_step=6922 phase=C_full_covt +[Dataset] cur_step=6922 phase=C_full_covt +[Dataset] cur_step=6922 phase=C_full_covt +[Dataset] cur_step=6922 phase=C_full_covt + 77%|███████████████████████ | 6922/9000 [5:51:34<2:22:33, 4.12s/it][Dataset] cur_step=6922 phase=C_full_covt + {'loss': '2.958', 'grad_norm': '2.365', 'learning_rate': '6.94e-06', 'epoch': '0.249'} + 77%|███████████████████████ | 6922/9000 [5:51:34<2:22:33, 4.12s/it] {'lm_loss': '0.8396', 'visual_loss': '2.568', 'seg_loss': '0.7414', 'dino_loss': '0.9143', 'depth_loss': '0.2166', 'vggt_mse_loss': '0.2149', 'vggt_cos_loss': '0.01668', 'pidinet_loss': '0.2031', 'siglip_loss': '0.4926', 'epoch': '0.249'} + 77%|███████████████████████ | 6922/9000 [5:51:37<2:22:33, 4.12s/it][Dataset] cur_step=6923 phase=C_full_covt[Dataset] cur_step=6923 phase=C_full_covt + +[Dataset] cur_step=6923 phase=C_full_covt +[Dataset] cur_step=6923 phase=C_full_covt + 77%|███████████████████████ | 6923/9000 [5:51:38<2:21:16, 4.08s/it][Dataset] cur_step=6923 phase=C_full_covt +[Dataset] cur_step=6923 phase=C_full_covt +[Dataset] cur_step=6923 phase=C_full_covt +[Dataset] cur_step=6923 phase=C_full_covt + {'loss': '3.216', 'grad_norm': '27.21', 'learning_rate': '6.934e-06', 'epoch': '0.2491'} + 77%|███████████████████████ | 6923/9000 [5:51:38<2:21:16, 4.08s/it] {'lm_loss': '0.01361', 'visual_loss': '2.704', 'seg_loss': '0.6741', 'dino_loss': '0.9209', 'depth_loss': '0.2827', 'vggt_mse_loss': '0.2805', 'vggt_cos_loss': '0.02289', 'pidinet_loss': '0.2301', 'siglip_loss': '0.596', 'epoch': '0.2491'} + 77%|███████████████████████ | 6923/9000 [5:51:41<2:21:16, 4.08s/it][Dataset] cur_step=6924 phase=C_full_covt +[Dataset] cur_step=6924 phase=C_full_covt[Dataset] cur_step=6924 phase=C_full_covt + + 77%|███████████████████████ | 6924/9000 [5:51:42<2:19:06, 4.02s/it][Dataset] cur_step=6924 phase=C_full_covt[Dataset] cur_step=6924 phase=C_full_covt + +[Dataset] cur_step=6924 phase=C_full_covt +[Dataset] cur_step=6924 phase=C_full_covt +[Dataset] cur_step=6924 phase=C_full_covt + {'loss': '3.077', 'grad_norm': '4.456', 'learning_rate': '6.927e-06', 'epoch': '0.2491'} + 77%|███████████████████████ | 6924/9000 [5:51:42<2:19:06, 4.02s/it] {'lm_loss': '0.2375', 'visual_loss': '2.569', 'seg_loss': '0.7051', 'dino_loss': '0.9058', 'depth_loss': '0.2384', 'vggt_mse_loss': '0.2367', 'vggt_cos_loss': '0.01793', 'pidinet_loss': '0.1893', 'siglip_loss': '0.5304', 'epoch': '0.2491'} + 77%|███████████████████████ | 6924/9000 [5:51:45<2:19:06, 4.02s/it][Dataset] cur_step=6925 phase=C_full_covt +[Dataset] cur_step=6925 phase=C_full_covt +[Dataset] cur_step=6925 phase=C_full_covt 77%|███████████████████████ | 6925/9000 [5:51:46<2:16:18, 3.94s/it] +[Dataset] cur_step=6925 phase=C_full_covt[Dataset] cur_step=6925 phase=C_full_covt + +[Dataset] cur_step=6925 phase=C_full_covt[Dataset] cur_step=6925 phase=C_full_covt + +[Dataset] cur_step=6925 phase=C_full_covt + {'loss': '3.041', 'grad_norm': '2.033', 'learning_rate': '6.921e-06', 'epoch': '0.2491'} + 77%|███████████████████████ | 6925/9000 [5:51:46<2:16:18, 3.94s/it] {'lm_loss': '0.5642', 'visual_loss': '2.723', 'seg_loss': '0.7109', 'dino_loss': '0.9163', 'depth_loss': '0.2027', 'vggt_mse_loss': '0.2011', 'vggt_cos_loss': '0.01639', 'pidinet_loss': '0.2725', 'siglip_loss': '0.6203', 'epoch': '0.2491'} + 77%|███████████████████████ | 6925/9000 [5:51:49<2:16:18, 3.94s/it][Dataset] cur_step=6926 phase=C_full_covt +[Dataset] cur_step=6926 phase=C_full_covt[Dataset] cur_step=6926 phase=C_full_covt + +[Dataset] cur_step=6926 phase=C_full_covt +[Dataset] cur_step=6926 phase=C_full_covt +[Dataset] cur_step=6926 phase=C_full_covt 77%|███████████████████████ | 6926/9000 [5:51:50<2:20:49, 4.07s/it] +[Dataset] cur_step=6926 phase=C_full_covt +[Dataset] cur_step=6926 phase=C_full_covt + {'loss': '3.134', 'grad_norm': '5.276', 'learning_rate': '6.915e-06', 'epoch': '0.2492'} + 77%|███████████████████████ | 6926/9000 [5:51:50<2:20:49, 4.07s/it] {'lm_loss': '0.2996', 'visual_loss': '2.599', 'seg_loss': '0.6303', 'dino_loss': '0.896', 'depth_loss': '0.1767', 'vggt_mse_loss': '0.1754', 'vggt_cos_loss': '0.0126', 'pidinet_loss': '0.3088', 'siglip_loss': '0.5869', 'epoch': '0.2492'} + 77%|███████████████████████ | 6926/9000 [5:51:56<2:20:49, 4.07s/it][Dataset] cur_step=6927 phase=C_full_covt + 77%|███████████████████████ | 6927/9000 [5:51:56<2:40:33, 4.65s/it][Dataset] cur_step=6927 phase=C_full_covt[Dataset] cur_step=6927 phase=C_full_covt + +[Dataset] cur_step=6927 phase=C_full_covt +[Dataset] cur_step=6927 phase=C_full_covt +[Dataset] cur_step=6927 phase=C_full_covt +[Dataset] cur_step=6927 phase=C_full_covt +[Dataset] cur_step=6927 phase=C_full_covt + {'loss': '3.179', 'grad_norm': '2.995', 'learning_rate': '6.908e-06', 'epoch': '0.2492'} + 77%|███████████████████████ | 6927/9000 [5:51:56<2:40:33, 4.65s/it] {'lm_loss': '0.5224', 'visual_loss': '2.613', 'seg_loss': '0.7121', 'dino_loss': '0.8971', 'depth_loss': '0.3079', 'vggt_mse_loss': '0.3054', 'vggt_cos_loss': '0.02496', 'pidinet_loss': '0.172', 'siglip_loss': '0.5241', 'epoch': '0.2492'} + 77%|███████████████████████ | 6927/9000 [5:51:59<2:40:33, 4.65s/it][Dataset] cur_step=6928 phase=C_full_covt[Dataset] cur_step=6928 phase=C_full_covt + +[Dataset] cur_step=6928 phase=C_full_covt +[Dataset] cur_step=6928 phase=C_full_covt +[Dataset] cur_step=6928 phase=C_full_covt +[Dataset] cur_step=6928 phase=C_full_covt + 77%|███████████████████████ | 6928/9000 [5:52:00<2:35:22, 4.50s/it][Dataset] cur_step=6928 phase=C_full_covt +[Dataset] cur_step=6928 phase=C_full_covt + {'loss': '2.969', 'grad_norm': '1.919', 'learning_rate': '6.902e-06', 'epoch': '0.2492'} + 77%|███████████████████████ | 6928/9000 [5:52:00<2:35:22, 4.50s/it] {'lm_loss': '0.9001', 'visual_loss': '2.299', 'seg_loss': '0.5648', 'dino_loss': '0.8897', 'depth_loss': '0.2216', 'vggt_mse_loss': '0.2201', 'vggt_cos_loss': '0.01517', 'pidinet_loss': '0.1803', 'siglip_loss': '0.4422', 'epoch': '0.2492'} + 77%|███████████████████████ | 6928/9000 [5:52:03<2:35:22, 4.50s/it][Dataset] cur_step=6929 phase=C_full_covt +[Dataset] cur_step=6929 phase=C_full_covt +[Dataset] cur_step=6929 phase=C_full_covt +[Dataset] cur_step=6929 phase=C_full_covt +[Dataset] cur_step=6929 phase=C_full_covt + 77%|███████████████████████ | 6929/9000 [5:52:04<2:28:18, 4.30s/it][Dataset] cur_step=6929 phase=C_full_covt +[Dataset] cur_step=6929 phase=C_full_covt +[Dataset] cur_step=6929 phase=C_full_covt + {'loss': '2.927', 'grad_norm': '4.904', 'learning_rate': '6.896e-06', 'epoch': '0.2493'} + 77%|███████████████████████ | 6929/9000 [5:52:04<2:28:18, 4.30s/it] {'lm_loss': '0.8947', 'visual_loss': '2.939', 'seg_loss': '0.6857', 'dino_loss': '0.8921', 'depth_loss': '0.3504', 'vggt_mse_loss': '0.3475', 'vggt_cos_loss': '0.02943', 'pidinet_loss': '0.2755', 'siglip_loss': '0.7358', 'epoch': '0.2493'} + 77%|███████████████████████ | 6929/9000 [5:52:07<2:28:18, 4.30s/it][Dataset] cur_step=6930 phase=C_full_covt +[Dataset] cur_step=6930 phase=C_full_covt 77%|███████████████████████ | 6930/9000 [5:52:08<2:27:33, 4.28s/it] +[Dataset] cur_step=6930 phase=C_full_covt[Dataset] cur_step=6930 phase=C_full_covt[Dataset] cur_step=6930 phase=C_full_covt + + +[Dataset] cur_step=6930 phase=C_full_covt +[Dataset] cur_step=6930 phase=C_full_covt +[Dataset] cur_step=6930 phase=C_full_covt + {'loss': '3.061', 'grad_norm': '2.379', 'learning_rate': '6.889e-06', 'epoch': '0.2493'} + 77%|███████████████████████ | 6930/9000 [5:52:08<2:27:33, 4.28s/it] {'lm_loss': '1.065', 'visual_loss': '2.738', 'seg_loss': '0.6852', 'dino_loss': '0.9021', 'depth_loss': '0.2736', 'vggt_mse_loss': '0.2715', 'vggt_cos_loss': '0.0214', 'pidinet_loss': '0.2456', 'siglip_loss': '0.6318', 'epoch': '0.2493'} + 77%|███████████████████████ | 6930/9000 [5:52:12<2:27:33, 4.28s/it][Dataset] cur_step=6931 phase=C_full_covt +[Dataset] cur_step=6931 phase=C_full_covt +[Dataset] cur_step=6931 phase=C_full_covt +[Dataset] cur_step=6931 phase=C_full_covt[Dataset] cur_step=6931 phase=C_full_covt + +[Dataset] cur_step=6931 phase=C_full_covt + 77%|███████████████████████ | 6931/9000 [5:52:12<2:28:00, 4.29s/it][Dataset] cur_step=6931 phase=C_full_covt +[Dataset] cur_step=6931 phase=C_full_covt + {'loss': '3.272', 'grad_norm': '3.583', 'learning_rate': '6.883e-06', 'epoch': '0.2493'} + 77%|███████████████████████ | 6931/9000 [5:52:12<2:28:00, 4.29s/it] {'lm_loss': '0.5911', 'visual_loss': '2.847', 'seg_loss': '0.8212', 'dino_loss': '0.9073', 'depth_loss': '0.2104', 'vggt_mse_loss': '0.2089', 'vggt_cos_loss': '0.01532', 'pidinet_loss': '0.2607', 'siglip_loss': '0.6473', 'epoch': '0.2493'} + 77%|███████████████████████ | 6931/9000 [5:52:15<2:28:00, 4.29s/it][Dataset] cur_step=6932 phase=C_full_covt +[Dataset] cur_step=6932 phase=C_full_covt +[Dataset] cur_step=6932 phase=C_full_covt +[Dataset] cur_step=6932 phase=C_full_covt +[Dataset] cur_step=6932 phase=C_full_covt + 77%|███████████████████████ | 6932/9000 [5:52:17<2:25:46, 4.23s/it][Dataset] cur_step=6932 phase=C_full_covt +[Dataset] cur_step=6932 phase=C_full_covt +[Dataset] cur_step=6932 phase=C_full_covt + {'loss': '3.157', 'grad_norm': '17.07', 'learning_rate': '6.877e-06', 'epoch': '0.2494'} + 77%|███████████████████████ | 6932/9000 [5:52:17<2:25:46, 4.23s/it] {'lm_loss': '0.2199', 'visual_loss': '2.444', 'seg_loss': '0.589', 'dino_loss': '0.9011', 'depth_loss': '0.2113', 'vggt_mse_loss': '0.2101', 'vggt_cos_loss': '0.01191', 'pidinet_loss': '0.1792', 'siglip_loss': '0.5629', 'epoch': '0.2494'} + 77%|███████████████████████ | 6932/9000 [5:52:20<2:25:46, 4.23s/it][Dataset] cur_step=6933 phase=C_full_covt + 77%|███████████████████████ | 6933/9000 [5:52:21<2:25:12, 4.22s/it][Dataset] cur_step=6933 phase=C_full_covt +[Dataset] cur_step=6933 phase=C_full_covt +[Dataset] cur_step=6933 phase=C_full_covt[Dataset] cur_step=6933 phase=C_full_covt + +[Dataset] cur_step=6933 phase=C_full_covt[Dataset] cur_step=6933 phase=C_full_covt + +[Dataset] cur_step=6933 phase=C_full_covt + {'loss': '3.106', 'grad_norm': '2.092', 'learning_rate': '6.87e-06', 'epoch': '0.2494'} + 77%|███████████████████████ | 6933/9000 [5:52:21<2:25:12, 4.22s/it] {'lm_loss': '1.028', 'visual_loss': '2.556', 'seg_loss': '0.8199', 'dino_loss': '0.8973', 'depth_loss': '0.2152', 'vggt_mse_loss': '0.2138', 'vggt_cos_loss': '0.01354', 'pidinet_loss': '0.1756', 'siglip_loss': '0.4482', 'epoch': '0.2494'} + 77%|███████████████████████ | 6933/9000 [5:52:24<2:25:12, 4.22s/it][Dataset] cur_step=6934 phase=C_full_covt + 77%|███████████████████████ | 6934/9000 [5:52:25<2:22:08, 4.13s/it][Dataset] cur_step=6934 phase=C_full_covt[Dataset] cur_step=6934 phase=C_full_covt[Dataset] cur_step=6934 phase=C_full_covt + + +[Dataset] cur_step=6934 phase=C_full_covt[Dataset] cur_step=6934 phase=C_full_covt[Dataset] cur_step=6934 phase=C_full_covt + + +[Dataset] cur_step=6934 phase=C_full_covt + {'loss': '3.182', 'grad_norm': '4.997', 'learning_rate': '6.864e-06', 'epoch': '0.2495'} + 77%|███████████████████████ | 6934/9000 [5:52:25<2:22:08, 4.13s/it] {'lm_loss': '0.002781', 'visual_loss': '2.149', 'seg_loss': '0.6101', 'dino_loss': '0.8825', 'depth_loss': '0.2063', 'vggt_mse_loss': '0.205', 'vggt_cos_loss': '0.01278', 'pidinet_loss': '0.1415', 'siglip_loss': '0.3086', 'epoch': '0.2495'} + 77%|███████████████████████ | 6934/9000 [5:52:28<2:22:08, 4.13s/it][Dataset] cur_step=6935 phase=C_full_covt + 77%|███████████████████████ | 6935/9000 [5:52:29<2:23:05, 4.16s/it][Dataset] cur_step=6935 phase=C_full_covt +[Dataset] cur_step=6935 phase=C_full_covt +[Dataset] cur_step=6935 phase=C_full_covt +[Dataset] cur_step=6935 phase=C_full_covt +[Dataset] cur_step=6935 phase=C_full_covt +[Dataset] cur_step=6935 phase=C_full_covt +[Dataset] cur_step=6935 phase=C_full_covt + {'loss': '3.028', 'grad_norm': '2.375', 'learning_rate': '6.858e-06', 'epoch': '0.2495'} + 77%|███████████████████████ | 6935/9000 [5:52:29<2:23:05, 4.16s/it] {'lm_loss': '0.9971', 'visual_loss': '2.539', 'seg_loss': '0.5479', 'dino_loss': '0.8869', 'depth_loss': '0.2206', 'vggt_mse_loss': '0.2192', 'vggt_cos_loss': '0.01406', 'pidinet_loss': '0.2523', 'siglip_loss': '0.631', 'epoch': '0.2495'} + 77%|███████████████████████ | 6935/9000 [5:52:32<2:23:05, 4.16s/it][Dataset] cur_step=6936 phase=C_full_covt[Dataset] cur_step=6936 phase=C_full_covt + +[Dataset] cur_step=6936 phase=C_full_covt +[Dataset] cur_step=6936 phase=C_full_covt +[Dataset] cur_step=6936 phase=C_full_covt +[Dataset] cur_step=6936 phase=C_full_covt +[Dataset] cur_step=6936 phase=C_full_covt + 77%|███████████████████████ | 6936/9000 [5:52:33<2:23:57, 4.18s/it][Dataset] cur_step=6936 phase=C_full_covt + {'loss': '3.024', 'grad_norm': '2.487', 'learning_rate': '6.851e-06', 'epoch': '0.2495'} + 77%|███████████████████████ | 6936/9000 [5:52:33<2:23:57, 4.18s/it] {'lm_loss': '0.3703', 'visual_loss': '2.625', 'seg_loss': '0.7021', 'dino_loss': '0.8942', 'depth_loss': '0.1603', 'vggt_mse_loss': '0.1592', 'vggt_cos_loss': '0.01166', 'pidinet_loss': '0.3094', 'siglip_loss': '0.5593', 'epoch': '0.2495'} + 77%|███████████████████████ | 6936/9000 [5:52:36<2:23:57, 4.18s/it][Dataset] cur_step=6937 phase=C_full_covt[Dataset] cur_step=6937 phase=C_full_covt +[Dataset] cur_step=6937 phase=C_full_covt + +[Dataset] cur_step=6937 phase=C_full_covt +[Dataset] cur_step=6937 phase=C_full_covt + 77%|███████████████████████ | 6937/9000 [5:52:37<2:21:21, 4.11s/it][Dataset] cur_step=6937 phase=C_full_covt +[Dataset] cur_step=6937 phase=C_full_covt +[Dataset] cur_step=6937 phase=C_full_covt + {'loss': '3.007', 'grad_norm': '2.183', 'learning_rate': '6.845e-06', 'epoch': '0.2496'} + 77%|███████████████████████ | 6937/9000 [5:52:37<2:21:21, 4.11s/it] {'lm_loss': '0.5', 'visual_loss': '2.598', 'seg_loss': '0.5589', 'dino_loss': '0.8825', 'depth_loss': '0.2329', 'vggt_mse_loss': '0.2312', 'vggt_cos_loss': '0.01722', 'pidinet_loss': '0.2639', 'siglip_loss': '0.6594', 'epoch': '0.2496'} + 77%|███████████████████████ | 6937/9000 [5:52:40<2:21:21, 4.11s/it][Dataset] cur_step=6938 phase=C_full_covt +[Dataset] cur_step=6938 phase=C_full_covt +[Dataset] cur_step=6938 phase=C_full_covt[Dataset] cur_step=6938 phase=C_full_covt + +[Dataset] cur_step=6938 phase=C_full_covt +[Dataset] cur_step=6938 phase=C_full_covt + 77%|███████████████████████▏ | 6938/9000 [5:52:41<2:17:28, 4.00s/it][Dataset] cur_step=6938 phase=C_full_covt[Dataset] cur_step=6938 phase=C_full_covt + + {'loss': '3.118', 'grad_norm': '2.325', 'learning_rate': '6.839e-06', 'epoch': '0.2496'} + 77%|███████████████████████▏ | 6938/9000 [5:52:41<2:17:28, 4.00s/it] {'lm_loss': '0.01414', 'visual_loss': '2.683', 'seg_loss': '0.7629', 'dino_loss': '0.9285', 'depth_loss': '0.2457', 'vggt_mse_loss': '0.2438', 'vggt_cos_loss': '0.0181', 'pidinet_loss': '0.2221', 'siglip_loss': '0.5236', 'epoch': '0.2496'} + 77%|███████████████████████▏ | 6938/9000 [5:52:44<2:17:28, 4.00s/it][Dataset] cur_step=6939 phase=C_full_covt +[Dataset] cur_step=6939 phase=C_full_covt +[Dataset] cur_step=6939 phase=C_full_covt +[Dataset] cur_step=6939 phase=C_full_covt[Dataset] cur_step=6939 phase=C_full_covt + +[Dataset] cur_step=6939 phase=C_full_covt +[Dataset] cur_step=6939 phase=C_full_covt + 77%|███████████████████████▏ | 6939/9000 [5:52:45<2:17:16, 4.00s/it][Dataset] cur_step=6939 phase=C_full_covt + {'loss': '3.192', 'grad_norm': '1.83', 'learning_rate': '6.832e-06', 'epoch': '0.2496'} + 77%|███████████████████████▏ | 6939/9000 [5:52:45<2:17:16, 4.00s/it] {'lm_loss': '0.5188', 'visual_loss': '3.011', 'seg_loss': '0.7945', 'dino_loss': '0.9108', 'depth_loss': '0.2333', 'vggt_mse_loss': '0.2317', 'vggt_cos_loss': '0.01649', 'pidinet_loss': '0.2543', 'siglip_loss': '0.8179', 'epoch': '0.2496'} + 77%|███████████████████████▏ | 6939/9000 [5:52:48<2:17:16, 4.00s/it][Dataset] cur_step=6940 phase=C_full_covt +[Dataset] cur_step=6940 phase=C_full_covt +[Dataset] cur_step=6940 phase=C_full_covt +[Dataset] cur_step=6940 phase=C_full_covt +[Dataset] cur_step=6940 phase=C_full_covt +[Dataset] cur_step=6940 phase=C_full_covt[Dataset] cur_step=6940 phase=C_full_covt + + 77%|███████████████████████▏ | 6940/9000 [5:52:49<2:17:21, 4.00s/it][Dataset] cur_step=6940 phase=C_full_covt + {'loss': '3.025', 'grad_norm': '2.186', 'learning_rate': '6.826e-06', 'epoch': '0.2497'} + 77%|███████████████████████▏ | 6940/9000 [5:52:49<2:17:21, 4.00s/it] {'lm_loss': '0.00694', 'visual_loss': '2.738', 'seg_loss': '0.7485', 'dino_loss': '0.9095', 'depth_loss': '0.2252', 'vggt_mse_loss': '0.2236', 'vggt_cos_loss': '0.01639', 'pidinet_loss': '0.2599', 'siglip_loss': '0.5952', 'epoch': '0.2497'} + 77%|███████████████████████▏ | 6940/9000 [5:52:52<2:17:21, 4.00s/it][Dataset] cur_step=6941 phase=C_full_covt[Dataset] cur_step=6941 phase=C_full_covt + +[Dataset] cur_step=6941 phase=C_full_covt +[Dataset] cur_step=6941 phase=C_full_covt[Dataset] cur_step=6941 phase=C_full_covt +[Dataset] cur_step=6941 phase=C_full_covt + +[Dataset] cur_step=6941 phase=C_full_covt +[Dataset] cur_step=6941 phase=C_full_covt + 77%|███████████████████████▏ | 6941/9000 [5:52:53<2:16:35, 3.98s/it] {'loss': '3.194', 'grad_norm': '4.246', 'learning_rate': '6.82e-06', 'epoch': '0.2497'} + 77%|███████████████████████▏ | 6941/9000 [5:52:53<2:16:35, 3.98s/it] {'lm_loss': '0.6683', 'visual_loss': '2.353', 'seg_loss': '0.5413', 'dino_loss': '0.8899', 'depth_loss': '0.2276', 'vggt_mse_loss': '0.2263', 'vggt_cos_loss': '0.01254', 'pidinet_loss': '0.205', 'siglip_loss': '0.4895', 'epoch': '0.2497'} + 77%|███████████████████████▏ | 6941/9000 [5:52:56<2:16:35, 3.98s/it][Dataset] cur_step=6942 phase=C_full_covt + 77%|███████████████████████▏ | 6942/9000 [5:52:57<2:17:58, 4.02s/it][Dataset] cur_step=6942 phase=C_full_covt +[Dataset] cur_step=6942 phase=C_full_covt +[Dataset] cur_step=6942 phase=C_full_covt[Dataset] cur_step=6942 phase=C_full_covt + +[Dataset] cur_step=6942 phase=C_full_covt[Dataset] cur_step=6942 phase=C_full_covt + +[Dataset] cur_step=6942 phase=C_full_covt + {'loss': '3.193', 'grad_norm': '2.514', 'learning_rate': '6.814e-06', 'epoch': '0.2497'} + 77%|███████████████████████▏ | 6942/9000 [5:52:57<2:17:58, 4.02s/it] {'lm_loss': '1.073', 'visual_loss': '2.458', 'seg_loss': '0.6621', 'dino_loss': '0.8676', 'depth_loss': '0.2378', 'vggt_mse_loss': '0.2366', 'vggt_cos_loss': '0.0119', 'pidinet_loss': '0.2157', 'siglip_loss': '0.4752', 'epoch': '0.2497'} + 77%|███████████████████████▏ | 6942/9000 [5:53:01<2:17:58, 4.02s/it][Dataset] cur_step=6943 phase=C_full_covt[Dataset] cur_step=6943 phase=C_full_covt + + 77%|███████████████████████▏ | 6943/9000 [5:53:01<2:22:21, 4.15s/it][Dataset] cur_step=6943 phase=C_full_covt +[Dataset] cur_step=6943 phase=C_full_covt +[Dataset] cur_step=6943 phase=C_full_covt +[Dataset] cur_step=6943 phase=C_full_covt +[Dataset] cur_step=6943 phase=C_full_covt +[Dataset] cur_step=6943 phase=C_full_covt + {'loss': '3.105', 'grad_norm': '2.081', 'learning_rate': '6.807e-06', 'epoch': '0.2498'} + 77%|███████████████████████▏ | 6943/9000 [5:53:01<2:22:21, 4.15s/it] {'lm_loss': '0.734', 'visual_loss': '2.636', 'seg_loss': '0.8177', 'dino_loss': '0.9154', 'depth_loss': '0.2406', 'vggt_mse_loss': '0.239', 'vggt_cos_loss': '0.01666', 'pidinet_loss': '0.2022', 'siglip_loss': '0.46', 'epoch': '0.2498'} + 77%|███████████████████████▏ | 6943/9000 [5:53:04<2:22:21, 4.15s/it][Dataset] cur_step=6944 phase=C_full_covt +[Dataset] cur_step=6944 phase=C_full_covt +[Dataset] cur_step=6944 phase=C_full_covt +[Dataset] cur_step=6944 phase=C_full_covt +[Dataset] cur_step=6944 phase=C_full_covt +[Dataset] cur_step=6944 phase=C_full_covt[Dataset] cur_step=6944 phase=C_full_covt + + 77%|███████████████████████▏ | 6944/9000 [5:53:06<2:24:30, 4.22s/it][Dataset] cur_step=6944 phase=C_full_covt + {'loss': '3.126', 'grad_norm': '2.454', 'learning_rate': '6.801e-06', 'epoch': '0.2498'} + 77%|███████████████████████▏ | 6944/9000 [5:53:06<2:24:30, 4.22s/it] {'lm_loss': '0.4049', 'visual_loss': '2.678', 'seg_loss': '0.7671', 'dino_loss': '0.9125', 'depth_loss': '0.219', 'vggt_mse_loss': '0.2176', 'vggt_cos_loss': '0.01454', 'pidinet_loss': '0.2367', 'siglip_loss': '0.5427', 'epoch': '0.2498'} + 77%|███████████████████████▏ | 6944/9000 [5:53:09<2:24:30, 4.22s/it][Dataset] cur_step=6945 phase=C_full_covt +[Dataset] cur_step=6945 phase=C_full_covt +[Dataset] cur_step=6945 phase=C_full_covt +[Dataset] cur_step=6945 phase=C_full_covt +[Dataset] cur_step=6945 phase=C_full_covt +[Dataset] cur_step=6945 phase=C_full_covt +[Dataset] cur_step=6945 phase=C_full_covt + 77%|███████████████████████▏ | 6945/9000 [5:53:10<2:23:31, 4.19s/it][Dataset] cur_step=6945 phase=C_full_covt + {'loss': '3.108', 'grad_norm': '2.082', 'learning_rate': '6.795e-06', 'epoch': '0.2498'} + 77%|███████████████████████▏ | 6945/9000 [5:53:10<2:23:31, 4.19s/it] {'lm_loss': '1.012', 'visual_loss': '3.071', 'seg_loss': '0.763', 'dino_loss': '0.9198', 'depth_loss': '0.1967', 'vggt_mse_loss': '0.1954', 'vggt_cos_loss': '0.01268', 'pidinet_loss': '0.2601', 'siglip_loss': '0.9315', 'epoch': '0.2498'} + 77%|███████████████████████▏ | 6945/9000 [5:53:13<2:23:31, 4.19s/it][Dataset] cur_step=6946 phase=C_full_covt[Dataset] cur_step=6946 phase=C_full_covt + +[Dataset] cur_step=6946 phase=C_full_covt +[Dataset] cur_step=6946 phase=C_full_covt +[Dataset] cur_step=6946 phase=C_full_covt[Dataset] cur_step=6946 phase=C_full_covt + +[Dataset] cur_step=6946 phase=C_full_covt[Dataset] cur_step=6946 phase=C_full_covt + + 77%|███████████████████████▏ | 6946/9000 [5:53:14<2:21:19, 4.13s/it] {'loss': '3.277', 'grad_norm': '2.226', 'learning_rate': '6.788e-06', 'epoch': '0.2499'} + 77%|███████████████████████▏ | 6946/9000 [5:53:14<2:21:19, 4.13s/it] {'lm_loss': '0.886', 'visual_loss': '2.892', 'seg_loss': '0.7533', 'dino_loss': '0.906', 'depth_loss': '0.2425', 'vggt_mse_loss': '0.2407', 'vggt_cos_loss': '0.01835', 'pidinet_loss': '0.274', 'siglip_loss': '0.7168', 'epoch': '0.2499'} + 77%|███████████████████████▏ | 6946/9000 [5:53:17<2:21:19, 4.13s/it][Dataset] cur_step=6947 phase=C_full_covt +[Dataset] cur_step=6947 phase=C_full_covt[Dataset] cur_step=6947 phase=C_full_covt + +[Dataset] cur_step=6947 phase=C_full_covt +[Dataset] cur_step=6947 phase=C_full_covt[Dataset] cur_step=6947 phase=C_full_covt + +[Dataset] cur_step=6947 phase=C_full_covt + 77%|███████████████████████▏ | 6947/9000 [5:53:18<2:25:25, 4.25s/it][Dataset] cur_step=6947 phase=C_full_covt + {'loss': '3.218', 'grad_norm': '2.065', 'learning_rate': '6.782e-06', 'epoch': '0.2499'} + 77%|███████████████████████▏ | 6947/9000 [5:53:18<2:25:25, 4.25s/it] {'lm_loss': '0.8916', 'visual_loss': '2.759', 'seg_loss': '0.8504', 'dino_loss': '0.9095', 'depth_loss': '0.2585', 'vggt_mse_loss': '0.2564', 'vggt_cos_loss': '0.02114', 'pidinet_loss': '0.2571', 'siglip_loss': '0.4837', 'epoch': '0.2499'} + 77%|███████████████████████▏ | 6947/9000 [5:53:22<2:25:25, 4.25s/it][Dataset] cur_step=6948 phase=C_full_covt +[Dataset] cur_step=6948 phase=C_full_covt[Dataset] cur_step=6948 phase=C_full_covt + +[Dataset] cur_step=6948 phase=C_full_covt + 77%|███████████████████████▏ | 6948/9000 [5:53:22<2:21:22, 4.13s/it][Dataset] cur_step=6948 phase=C_full_covt +[Dataset] cur_step=6948 phase=C_full_covt +[Dataset] cur_step=6948 phase=C_full_covt +[Dataset] cur_step=6948 phase=C_full_covt + {'loss': '3.279', 'grad_norm': '18.84', 'learning_rate': '6.776e-06', 'epoch': '0.25'} + 77%|███████████████████████▏ | 6948/9000 [5:53:22<2:21:22, 4.13s/it] {'lm_loss': '0.4321', 'visual_loss': '2.4', 'seg_loss': '0.6826', 'dino_loss': '0.879', 'depth_loss': '0.2686', 'vggt_mse_loss': '0.267', 'vggt_cos_loss': '0.01665', 'pidinet_loss': '0.2393', 'siglip_loss': '0.3309', 'epoch': '0.25'} + 77%|███████████████████████▏ | 6948/9000 [5:53:25<2:21:22, 4.13s/it][Dataset] cur_step=6949 phase=C_full_covt +[Dataset] cur_step=6949 phase=C_full_covt +[Dataset] cur_step=6949 phase=C_full_covt +[Dataset] cur_step=6949 phase=C_full_covt +[Dataset] cur_step=6949 phase=C_full_covt +[Dataset] cur_step=6949 phase=C_full_covt +[Dataset] cur_step=6949 phase=C_full_covt +[Dataset] cur_step=6949 phase=C_full_covt + 77%|███████████████████████▏ | 6949/9000 [5:53:26<2:19:56, 4.09s/it] {'loss': '2.988', 'grad_norm': '4.127', 'learning_rate': '6.769e-06', 'epoch': '0.25'} + 77%|███████████████████████▏ | 6949/9000 [5:53:26<2:19:56, 4.09s/it] {'lm_loss': '0.01446', 'visual_loss': '2.863', 'seg_loss': '0.8376', 'dino_loss': '0.9238', 'depth_loss': '0.3331', 'vggt_mse_loss': '0.3307', 'vggt_cos_loss': '0.02398', 'pidinet_loss': '0.2183', 'siglip_loss': '0.5507', 'epoch': '0.25'} + 77%|███████████████████████▏ | 6949/9000 [5:53:29<2:19:56, 4.09s/it][Dataset] cur_step=6950 phase=C_full_covt +[Dataset] cur_step=6950 phase=C_full_covt +[Dataset] cur_step=6950 phase=C_full_covt + 77%|███████████████████████▏ | 6950/9000 [5:53:30<2:15:33, 3.97s/it][Dataset] cur_step=6950 phase=C_full_covt[Dataset] cur_step=6950 phase=C_full_covt + +[Dataset] cur_step=6950 phase=C_full_covt[Dataset] cur_step=6950 phase=C_full_covt + +[Dataset] cur_step=6950 phase=C_full_covt + {'loss': '3.075', 'grad_norm': '1.884', 'learning_rate': '6.763e-06', 'epoch': '0.25'} + 77%|███████████████████████▏ | 6950/9000 [5:53:30<2:15:33, 3.97s/it] {'lm_loss': '0.5264', 'visual_loss': '2.582', 'seg_loss': '0.7598', 'dino_loss': '0.8958', 'depth_loss': '0.3344', 'vggt_mse_loss': '0.332', 'vggt_cos_loss': '0.02351', 'pidinet_loss': '0.1928', 'siglip_loss': '0.3993', 'epoch': '0.25'} + 77%|███████████████████████▏ | 6950/9000 [5:53:33<2:15:33, 3.97s/it][Dataset] cur_step=6951 phase=C_full_covt +[Dataset] cur_step=6951 phase=C_full_covt +[Dataset] cur_step=6951 phase=C_full_covt +[Dataset] cur_step=6951 phase=C_full_covt +[Dataset] cur_step=6951 phase=C_full_covt[Dataset] cur_step=6951 phase=C_full_covt + +[Dataset] cur_step=6951 phase=C_full_covt +[Dataset] cur_step=6951 phase=C_full_covt + 77%|███████████████████████▏ | 6951/9000 [5:53:34<2:14:25, 3.94s/it] {'loss': '3.254', 'grad_norm': '2.149', 'learning_rate': '6.757e-06', 'epoch': '0.2501'} + 77%|███████████████████████▏ | 6951/9000 [5:53:34<2:14:25, 3.94s/it] {'lm_loss': '0.3883', 'visual_loss': '2.631', 'seg_loss': '0.6865', 'dino_loss': '0.9082', 'depth_loss': '0.2097', 'vggt_mse_loss': '0.2082', 'vggt_cos_loss': '0.01476', 'pidinet_loss': '0.2264', 'siglip_loss': '0.6005', 'epoch': '0.2501'} + 77%|███████████████████████▏ | 6951/9000 [5:53:37<2:14:25, 3.94s/it][Dataset] cur_step=6952 phase=C_full_covt +[Dataset] cur_step=6952 phase=C_full_covt +[Dataset] cur_step=6952 phase=C_full_covt +[Dataset] cur_step=6952 phase=C_full_covt +[Dataset] cur_step=6952 phase=C_full_covt +[Dataset] cur_step=6952 phase=C_full_covt[Dataset] cur_step=6952 phase=C_full_covt + 77%|███████████████████████▏ | 6952/9000 [5:53:38<2:14:11, 3.93s/it] +[Dataset] cur_step=6952 phase=C_full_covt + {'loss': '3.203', 'grad_norm': '2.888', 'learning_rate': '6.751e-06', 'epoch': '0.2501'} + 77%|███████████████████████▏ | 6952/9000 [5:53:38<2:14:11, 3.93s/it] {'lm_loss': '0.5912', 'visual_loss': '2.838', 'seg_loss': '0.7116', 'dino_loss': '0.9211', 'depth_loss': '0.3878', 'vggt_mse_loss': '0.3849', 'vggt_cos_loss': '0.02937', 'pidinet_loss': '0.2687', 'siglip_loss': '0.5486', 'epoch': '0.2501'} + 77%|███████████████████████▏ | 6952/9000 [5:53:41<2:14:11, 3.93s/it][Dataset] cur_step=6953 phase=C_full_covt[Dataset] cur_step=6953 phase=C_full_covt + +[Dataset] cur_step=6953 phase=C_full_covt +[Dataset] cur_step=6953 phase=C_full_covt[Dataset] cur_step=6953 phase=C_full_covt + +[Dataset] cur_step=6953 phase=C_full_covt[Dataset] cur_step=6953 phase=C_full_covt + + 77%|███████████████████████▏ | 6953/9000 [5:53:42<2:15:19, 3.97s/it][Dataset] cur_step=6953 phase=C_full_covt + {'loss': '3.191', 'grad_norm': '2.386', 'learning_rate': '6.744e-06', 'epoch': '0.2501'} + 77%|███████████████████████▏ | 6953/9000 [5:53:42<2:15:19, 3.97s/it] {'lm_loss': '0.2417', 'visual_loss': '2.53', 'seg_loss': '0.7124', 'dino_loss': '0.9249', 'depth_loss': '0.1863', 'vggt_mse_loss': '0.185', 'vggt_cos_loss': '0.01267', 'pidinet_loss': '0.1961', 'siglip_loss': '0.5099', 'epoch': '0.2501'} + 77%|███████████████████████▏ | 6953/9000 [5:53:45<2:15:19, 3.97s/it][Dataset] cur_step=6954 phase=C_full_covt +[Dataset] cur_step=6954 phase=C_full_covt +[Dataset] cur_step=6954 phase=C_full_covt +[Dataset] cur_step=6954 phase=C_full_covt +[Dataset] cur_step=6954 phase=C_full_covt +[Dataset] cur_step=6954 phase=C_full_covt +[Dataset] cur_step=6954 phase=C_full_covt +[Dataset] cur_step=6954 phase=C_full_covt + 77%|███████████████████████▏ | 6954/9000 [5:53:47<2:33:09, 4.49s/it] {'loss': '3.04', 'grad_norm': '3.908', 'learning_rate': '6.738e-06', 'epoch': '0.2502'} + 77%|███████████████████████▏ | 6954/9000 [5:53:47<2:33:09, 4.49s/it] {'lm_loss': '0.342', 'visual_loss': '2.668', 'seg_loss': '0.7937', 'dino_loss': '0.9208', 'depth_loss': '0.2476', 'vggt_mse_loss': '0.2459', 'vggt_cos_loss': '0.01684', 'pidinet_loss': '0.2704', 'siglip_loss': '0.4356', 'epoch': '0.2502'} + 77%|███████████████████████▏ | 6954/9000 [5:53:51<2:33:09, 4.49s/it][Dataset] cur_step=6955 phase=C_full_covt[Dataset] cur_step=6955 phase=C_full_covt +[Dataset] cur_step=6955 phase=C_full_covt + +[Dataset] cur_step=6955 phase=C_full_covt +[Dataset] cur_step=6955 phase=C_full_covt +[Dataset] cur_step=6955 phase=C_full_covt 77%|███████████████████████▏ | 6955/9000 [5:53:52<2:29:34, 4.39s/it] +[Dataset] cur_step=6955 phase=C_full_covt +[Dataset] cur_step=6955 phase=C_full_covt + {'loss': '3.164', 'grad_norm': '1.602', 'learning_rate': '6.732e-06', 'epoch': '0.2502'} + 77%|███████████████████████▏ | 6955/9000 [5:53:52<2:29:34, 4.39s/it] {'lm_loss': '0.5291', 'visual_loss': '2.465', 'seg_loss': '0.5544', 'dino_loss': '0.8847', 'depth_loss': '0.188', 'vggt_mse_loss': '0.1868', 'vggt_cos_loss': '0.0115', 'pidinet_loss': '0.2213', 'siglip_loss': '0.6163', 'epoch': '0.2502'} + 77%|███████████████████████▏ | 6955/9000 [5:53:55<2:29:34, 4.39s/it][Dataset] cur_step=6956 phase=C_full_covt +[Dataset] cur_step=6956 phase=C_full_covt +[Dataset] cur_step=6956 phase=C_full_covt[Dataset] cur_step=6956 phase=C_full_covt + +[Dataset] cur_step=6956 phase=C_full_covt[Dataset] cur_step=6956 phase=C_full_covt + +[Dataset] cur_step=6956 phase=C_full_covt +[Dataset] cur_step=6956 phase=C_full_covt + 77%|███████████████████████▏ | 6956/9000 [5:53:56<2:26:48, 4.31s/it] {'loss': '3.144', 'grad_norm': '2.23', 'learning_rate': '6.726e-06', 'epoch': '0.2502'} + 77%|███████████████████████▏ | 6956/9000 [5:53:56<2:26:48, 4.31s/it] {'lm_loss': '0.5257', 'visual_loss': '2.78', 'seg_loss': '0.7366', 'dino_loss': '0.9504', 'depth_loss': '0.2835', 'vggt_mse_loss': '0.281', 'vggt_cos_loss': '0.02441', 'pidinet_loss': '0.2459', 'siglip_loss': '0.5636', 'epoch': '0.2502'} + 77%|███████████████████████▏ | 6956/9000 [5:53:59<2:26:48, 4.31s/it][Dataset] cur_step=6957 phase=C_full_covt +[Dataset] cur_step=6957 phase=C_full_covt +[Dataset] cur_step=6957 phase=C_full_covt[Dataset] cur_step=6957 phase=C_full_covt + +[Dataset] cur_step=6957 phase=C_full_covt +[Dataset] cur_step=6957 phase=C_full_covt +[Dataset] cur_step=6957 phase=C_full_covt +[Dataset] cur_step=6957 phase=C_full_covt + 77%|███████████████████████▏ | 6957/9000 [5:54:02<2:42:50, 4.78s/it] {'loss': '3.159', 'grad_norm': '1.827', 'learning_rate': '6.719e-06', 'epoch': '0.2503'} + 77%|███████████████████████▏ | 6957/9000 [5:54:02<2:42:50, 4.78s/it] {'lm_loss': '0.3061', 'visual_loss': '2.812', 'seg_loss': '0.6855', 'dino_loss': '0.9324', 'depth_loss': '0.2894', 'vggt_mse_loss': '0.2874', 'vggt_cos_loss': '0.02013', 'pidinet_loss': '0.2342', 'siglip_loss': '0.67', 'epoch': '0.2503'} + 77%|███████████████████████▏ | 6957/9000 [5:54:05<2:42:50, 4.78s/it][Dataset] cur_step=6958 phase=C_full_covt +[Dataset] cur_step=6958 phase=C_full_covt +[Dataset] cur_step=6958 phase=C_full_covt +[Dataset] cur_step=6958 phase=C_full_covt[Dataset] cur_step=6958 phase=C_full_covt + +[Dataset] cur_step=6958 phase=C_full_covt + 77%|███████████████████████▏ | 6958/9000 [5:54:06<2:34:08, 4.53s/it][Dataset] cur_step=6958 phase=C_full_covt +[Dataset] cur_step=6958 phase=C_full_covt + {'loss': '3.328', 'grad_norm': '2.493', 'learning_rate': '6.713e-06', 'epoch': '0.2503'} + 77%|███████████████████████▏ | 6958/9000 [5:54:06<2:34:08, 4.53s/it] {'lm_loss': '0.9361', 'visual_loss': '2.943', 'seg_loss': '0.8834', 'dino_loss': '0.9253', 'depth_loss': '0.3129', 'vggt_mse_loss': '0.3105', 'vggt_cos_loss': '0.02321', 'pidinet_loss': '0.199', 'siglip_loss': '0.6222', 'epoch': '0.2503'} + 77%|███████████████████████▏ | 6958/9000 [5:54:09<2:34:08, 4.53s/it][Dataset] cur_step=6959 phase=C_full_covt +[Dataset] cur_step=6959 phase=C_full_covt +[Dataset] cur_step=6959 phase=C_full_covt 77%|███████████████████████▏ | 6959/9000 [5:54:10<2:30:06, 4.41s/it] +[Dataset] cur_step=6959 phase=C_full_covt +[Dataset] cur_step=6959 phase=C_full_covt +[Dataset] cur_step=6959 phase=C_full_covt +[Dataset] cur_step=6959 phase=C_full_covt +[Dataset] cur_step=6959 phase=C_full_covt + {'loss': '3.186', 'grad_norm': '2.097', 'learning_rate': '6.707e-06', 'epoch': '0.2504'} + 77%|███████████████████████▏ | 6959/9000 [5:54:10<2:30:06, 4.41s/it] {'lm_loss': '0.3187', 'visual_loss': '2.704', 'seg_loss': '0.6777', 'dino_loss': '0.9234', 'depth_loss': '0.1871', 'vggt_mse_loss': '0.1857', 'vggt_cos_loss': '0.01465', 'pidinet_loss': '0.2508', 'siglip_loss': '0.6649', 'epoch': '0.2504'} + 77%|███████████████████████▏ | 6959/9000 [5:54:13<2:30:06, 4.41s/it][Dataset] cur_step=6960 phase=C_full_covt +[Dataset] cur_step=6960 phase=C_full_covt +[Dataset] cur_step=6960 phase=C_full_covt[Dataset] cur_step=6960 phase=C_full_covt + + 77%|███████████████████████▏ | 6960/9000 [5:54:14<2:27:24, 4.34s/it][Dataset] cur_step=6960 phase=C_full_covt[Dataset] cur_step=6960 phase=C_full_covt + +[Dataset] cur_step=6960 phase=C_full_covt +[Dataset] cur_step=6960 phase=C_full_covt + {'loss': '3.113', 'grad_norm': '5.844', 'learning_rate': '6.701e-06', 'epoch': '0.2504'} + 77%|███████████████████████▏ | 6960/9000 [5:54:14<2:27:24, 4.34s/it] {'lm_loss': '0.4959', 'visual_loss': '2.842', 'seg_loss': '0.8553', 'dino_loss': '0.9127', 'depth_loss': '0.2606', 'vggt_mse_loss': '0.2586', 'vggt_cos_loss': '0.01958', 'pidinet_loss': '0.2462', 'siglip_loss': '0.5676', 'epoch': '0.2504'} + 77%|███████████████████████▏ | 6960/9000 [5:54:17<2:27:24, 4.34s/it][Dataset] cur_step=6961 phase=C_full_covt +[Dataset] cur_step=6961 phase=C_full_covt +[Dataset] cur_step=6961 phase=C_full_covt +[Dataset] cur_step=6961 phase=C_full_covt[Dataset] cur_step=6961 phase=C_full_covt + +[Dataset] cur_step=6961 phase=C_full_covt +[Dataset] cur_step=6961 phase=C_full_covt 77%|███████████████████████▏ | 6961/9000 [5:54:17<2:20:20, 4.13s/it] +[Dataset] cur_step=6961 phase=C_full_covt + {'loss': '3.252', 'grad_norm': '2.504', 'learning_rate': '6.694e-06', 'epoch': '0.2504'} + 77%|███████████████████████▏ | 6961/9000 [5:54:17<2:20:20, 4.13s/it] {'lm_loss': '0.5198', 'visual_loss': '2.371', 'seg_loss': '0.6785', 'dino_loss': '0.9041', 'depth_loss': '0.1812', 'vggt_mse_loss': '0.1802', 'vggt_cos_loss': '0.009992', 'pidinet_loss': '0.213', 'siglip_loss': '0.3945', 'epoch': '0.2504'} + 77%|███████████████████████▏ | 6961/9000 [5:54:21<2:20:20, 4.13s/it][Dataset] cur_step=6962 phase=C_full_covt +[Dataset] cur_step=6962 phase=C_full_covt 77%|███████████████████████▏ | 6962/9000 [5:54:22<2:20:41, 4.14s/it] +[Dataset] cur_step=6962 phase=C_full_covt +[Dataset] cur_step=6962 phase=C_full_covt +[Dataset] cur_step=6962 phase=C_full_covt +[Dataset] cur_step=6962 phase=C_full_covt +[Dataset] cur_step=6962 phase=C_full_covt +[Dataset] cur_step=6962 phase=C_full_covt + {'loss': '2.925', 'grad_norm': '1.974', 'learning_rate': '6.688e-06', 'epoch': '0.2505'} + 77%|███████████████████████▏ | 6962/9000 [5:54:22<2:20:41, 4.14s/it] {'lm_loss': '0.4946', 'visual_loss': '2.633', 'seg_loss': '0.6991', 'dino_loss': '0.9184', 'depth_loss': '0.2366', 'vggt_mse_loss': '0.2347', 'vggt_cos_loss': '0.01853', 'pidinet_loss': '0.2523', 'siglip_loss': '0.5268', 'epoch': '0.2505'} + 77%|███████████████████████▏ | 6962/9000 [5:54:25<2:20:41, 4.14s/it][Dataset] cur_step=6963 phase=C_full_covt +[Dataset] cur_step=6963 phase=C_full_covt[Dataset] cur_step=6963 phase=C_full_covt[Dataset] cur_step=6963 phase=C_full_covt + + +[Dataset] cur_step=6963 phase=C_full_covt +[Dataset] cur_step=6963 phase=C_full_covt +[Dataset] cur_step=6963 phase=C_full_covt +[Dataset] cur_step=6963 phase=C_full_covt + 77%|███████████████████████▏ | 6963/9000 [5:54:26<2:19:34, 4.11s/it] {'loss': '3.14', 'grad_norm': '2.074', 'learning_rate': '6.682e-06', 'epoch': '0.2505'} + 77%|███████████████████████▏ | 6963/9000 [5:54:26<2:19:34, 4.11s/it] {'lm_loss': '0.3439', 'visual_loss': '3.028', 'seg_loss': '0.703', 'dino_loss': '0.9258', 'depth_loss': '0.5246', 'vggt_mse_loss': '0.52', 'vggt_cos_loss': '0.04554', 'pidinet_loss': '0.2153', 'siglip_loss': '0.659', 'epoch': '0.2505'} + 77%|███████████████████████▏ | 6963/9000 [5:54:29<2:19:34, 4.11s/it][Dataset] cur_step=6964 phase=C_full_covt +[Dataset] cur_step=6964 phase=C_full_covt +[Dataset] cur_step=6964 phase=C_full_covt[Dataset] cur_step=6964 phase=C_full_covt + +[Dataset] cur_step=6964 phase=C_full_covt[Dataset] cur_step=6964 phase=C_full_covt[Dataset] cur_step=6964 phase=C_full_covt + + + 77%|███████████████████████▏ | 6964/9000 [5:54:30<2:20:24, 4.14s/it][Dataset] cur_step=6964 phase=C_full_covt + {'loss': '3.055', 'grad_norm': '1.61', 'learning_rate': '6.675e-06', 'epoch': '0.2505'} + 77%|███████████████████████▏ | 6964/9000 [5:54:30<2:20:24, 4.14s/it] {'lm_loss': '0.4725', 'visual_loss': '2.466', 'seg_loss': '0.6764', 'dino_loss': '0.9069', 'depth_loss': '0.226', 'vggt_mse_loss': '0.2244', 'vggt_cos_loss': '0.01687', 'pidinet_loss': '0.232', 'siglip_loss': '0.4247', 'epoch': '0.2505'} + 77%|███████████████████████▏ | 6964/9000 [5:54:33<2:20:24, 4.14s/it][Dataset] cur_step=6965 phase=C_full_covt +[Dataset] cur_step=6965 phase=C_full_covt +[Dataset] cur_step=6965 phase=C_full_covt +[Dataset] cur_step=6965 phase=C_full_covt +[Dataset] cur_step=6965 phase=C_full_covt[Dataset] cur_step=6965 phase=C_full_covt + 77%|███████████████████████▏ | 6965/9000 [5:54:36<2:43:30, 4.82s/it] +[Dataset] cur_step=6965 phase=C_full_covt +[Dataset] cur_step=6965 phase=C_full_covt + {'loss': '2.965', 'grad_norm': '1.763', 'learning_rate': '6.669e-06', 'epoch': '0.2506'} + 77%|███████████████████████▏ | 6965/9000 [5:54:36<2:43:30, 4.82s/it] {'lm_loss': '0.9506', 'visual_loss': '2.367', 'seg_loss': '0.7222', 'dino_loss': '0.8772', 'depth_loss': '0.1747', 'vggt_mse_loss': '0.1737', 'vggt_cos_loss': '0.009906', 'pidinet_loss': '0.1917', 'siglip_loss': '0.4015', 'epoch': '0.2506'} + 77%|███████████████████████▏ | 6965/9000 [5:54:39<2:43:30, 4.82s/it][Dataset] cur_step=6966 phase=C_full_covt +[Dataset] cur_step=6966 phase=C_full_covt +[Dataset] cur_step=6966 phase=C_full_covt +[Dataset] cur_step=6966 phase=C_full_covt +[Dataset] cur_step=6966 phase=C_full_covt[Dataset] cur_step=6966 phase=C_full_covt +[Dataset] cur_step=6966 phase=C_full_covt + + 77%|███████████████████████▏ | 6966/9000 [5:54:41<2:37:30, 4.65s/it][Dataset] cur_step=6966 phase=C_full_covt + {'loss': '3.142', 'grad_norm': '3.729', 'learning_rate': '6.663e-06', 'epoch': '0.2506'} + 77%|███████████████████████▏ | 6966/9000 [5:54:41<2:37:30, 4.65s/it] {'lm_loss': '0.3454', 'visual_loss': '2.616', 'seg_loss': '0.6102', 'dino_loss': '0.9062', 'depth_loss': '0.2471', 'vggt_mse_loss': '0.2453', 'vggt_cos_loss': '0.01861', 'pidinet_loss': '0.2816', 'siglip_loss': '0.5705', 'epoch': '0.2506'} + 77%|███████████████████████▏ | 6966/9000 [5:54:44<2:37:30, 4.65s/it][Dataset] cur_step=6967 phase=C_full_covt + 77%|███████████████████████▏ | 6967/9000 [5:54:45<2:32:30, 4.50s/it][Dataset] cur_step=6967 phase=C_full_covt[Dataset] cur_step=6967 phase=C_full_covt + +[Dataset] cur_step=6967 phase=C_full_covt +[Dataset] cur_step=6967 phase=C_full_covt +[Dataset] cur_step=6967 phase=C_full_covt +[Dataset] cur_step=6967 phase=C_full_covt +[Dataset] cur_step=6967 phase=C_full_covt + {'loss': '3.171', 'grad_norm': '7.465', 'learning_rate': '6.657e-06', 'epoch': '0.2506'} + 77%|███████████████████████▏ | 6967/9000 [5:54:45<2:32:30, 4.50s/it] {'lm_loss': '0.3096', 'visual_loss': '2.832', 'seg_loss': '0.7108', 'dino_loss': '0.9449', 'depth_loss': '0.2411', 'vggt_mse_loss': '0.2394', 'vggt_cos_loss': '0.01729', 'pidinet_loss': '0.3074', 'siglip_loss': '0.6277', 'epoch': '0.2506'} + 77%|███████████████████████▏ | 6967/9000 [5:54:48<2:32:30, 4.50s/it][Dataset] cur_step=6968 phase=C_full_covt +[Dataset] cur_step=6968 phase=C_full_covt + 77%|███████████████████████▏ | 6968/9000 [5:54:49<2:26:47, 4.33s/it][Dataset] cur_step=6968 phase=C_full_covt +[Dataset] cur_step=6968 phase=C_full_covt +[Dataset] cur_step=6968 phase=C_full_covt +[Dataset] cur_step=6968 phase=C_full_covt +[Dataset] cur_step=6968 phase=C_full_covt +[Dataset] cur_step=6968 phase=C_full_covt + {'loss': '3.049', 'grad_norm': '1.639', 'learning_rate': '6.651e-06', 'epoch': '0.2507'} + 77%|███████████████████████▏ | 6968/9000 [5:54:49<2:26:47, 4.33s/it] {'lm_loss': '0.8259', 'visual_loss': '2.736', 'seg_loss': '0.7301', 'dino_loss': '0.9152', 'depth_loss': '0.283', 'vggt_mse_loss': '0.2813', 'vggt_cos_loss': '0.01677', 'pidinet_loss': '0.2314', 'siglip_loss': '0.5765', 'epoch': '0.2507'} + 77%|███████████████████████▏ | 6968/9000 [5:54:52<2:26:47, 4.33s/it][Dataset] cur_step=6969 phase=C_full_covt +[Dataset] cur_step=6969 phase=C_full_covt +[Dataset] cur_step=6969 phase=C_full_covt +[Dataset] cur_step=6969 phase=C_full_covt +[Dataset] cur_step=6969 phase=C_full_covt[Dataset] cur_step=6969 phase=C_full_covt +[Dataset] cur_step=6969 phase=C_full_covt + +[Dataset] cur_step=6969 phase=C_full_covt + 77%|███████████████████████▏ | 6969/9000 [5:54:53<2:24:49, 4.28s/it] {'loss': '3.182', 'grad_norm': '4.848', 'learning_rate': '6.644e-06', 'epoch': '0.2507'} + 77%|███████████████████████▏ | 6969/9000 [5:54:53<2:24:49, 4.28s/it] {'lm_loss': '0.6564', 'visual_loss': '2.695', 'seg_loss': '0.6935', 'dino_loss': '0.9118', 'depth_loss': '0.3256', 'vggt_mse_loss': '0.323', 'vggt_cos_loss': '0.02595', 'pidinet_loss': '0.2629', 'siglip_loss': '0.5014', 'epoch': '0.2507'} + 77%|███████████████████████▏ | 6969/9000 [5:54:56<2:24:49, 4.28s/it][Dataset] cur_step=6970 phase=C_full_covt +[Dataset] cur_step=6970 phase=C_full_covt +[Dataset] cur_step=6970 phase=C_full_covt[Dataset] cur_step=6970 phase=C_full_covt + +[Dataset] cur_step=6970 phase=C_full_covt[Dataset] cur_step=6970 phase=C_full_covt + +[Dataset] cur_step=6970 phase=C_full_covt 77%|███████████████████████▏ | 6970/9000 [5:54:57<2:19:46, 4.13s/it] +[Dataset] cur_step=6970 phase=C_full_covt + {'loss': '3.315', 'grad_norm': '7.678', 'learning_rate': '6.638e-06', 'epoch': '0.2507'} + 77%|███████████████████████▏ | 6970/9000 [5:54:57<2:19:46, 4.13s/it] {'lm_loss': '0.7002', 'visual_loss': '2.837', 'seg_loss': '0.7685', 'dino_loss': '0.9008', 'depth_loss': '0.2085', 'vggt_mse_loss': '0.2071', 'vggt_cos_loss': '0.01397', 'pidinet_loss': '0.3103', 'siglip_loss': '0.6493', 'epoch': '0.2507'} + 77%|███████████████████████▏ | 6970/9000 [5:54:59<2:19:46, 4.13s/it][Dataset] cur_step=6971 phase=C_full_covt[Dataset] cur_step=6971 phase=C_full_covt + +[Dataset] cur_step=6971 phase=C_full_covt +[Dataset] cur_step=6971 phase=C_full_covt[Dataset] cur_step=6971 phase=C_full_covt +[Dataset] cur_step=6971 phase=C_full_covt + + 77%|███████████████████████▏ | 6971/9000 [5:55:01<2:19:54, 4.14s/it][Dataset] cur_step=6971 phase=C_full_covt +[Dataset] cur_step=6971 phase=C_full_covt + {'loss': '3.041', 'grad_norm': '1.588', 'learning_rate': '6.632e-06', 'epoch': '0.2508'} + 77%|███████████████████████▏ | 6971/9000 [5:55:01<2:19:54, 4.14s/it] {'lm_loss': '0.4644', 'visual_loss': '2.494', 'seg_loss': '0.6629', 'dino_loss': '0.9144', 'depth_loss': '0.179', 'vggt_mse_loss': '0.1779', 'vggt_cos_loss': '0.01115', 'pidinet_loss': '0.1807', 'siglip_loss': '0.557', 'epoch': '0.2508'} + 77%|███████████████████████▏ | 6971/9000 [5:55:04<2:19:54, 4.14s/it][Dataset] cur_step=6972 phase=C_full_covt + 77%|███████████████████████▏ | 6972/9000 [5:55:04<2:15:36, 4.01s/it][Dataset] cur_step=6972 phase=C_full_covt[Dataset] cur_step=6972 phase=C_full_covt + +[Dataset] cur_step=6972 phase=C_full_covt[Dataset] cur_step=6972 phase=C_full_covt[Dataset] cur_step=6972 phase=C_full_covt + + +[Dataset] cur_step=6972 phase=C_full_covt +[Dataset] cur_step=6972 phase=C_full_covt + {'loss': '3.04', 'grad_norm': '2.059', 'learning_rate': '6.626e-06', 'epoch': '0.2508'} + 77%|███████████████████████▏ | 6972/9000 [5:55:04<2:15:36, 4.01s/it] {'lm_loss': '0.2992', 'visual_loss': '2.556', 'seg_loss': '0.588', 'dino_loss': '0.8868', 'depth_loss': '0.2742', 'vggt_mse_loss': '0.2725', 'vggt_cos_loss': '0.01669', 'pidinet_loss': '0.2103', 'siglip_loss': '0.5965', 'epoch': '0.2508'} + 77%|███████████████████████▏ | 6972/9000 [5:55:08<2:15:36, 4.01s/it][Dataset] cur_step=6973 phase=C_full_covt[Dataset] cur_step=6973 phase=C_full_covt + +[Dataset] cur_step=6973 phase=C_full_covt 77%|███████████████████████▏ | 6973/9000 [5:55:08<2:15:45, 4.02s/it] +[Dataset] cur_step=6973 phase=C_full_covt +[Dataset] cur_step=6973 phase=C_full_covt +[Dataset] cur_step=6973 phase=C_full_covt +[Dataset] cur_step=6973 phase=C_full_covt +[Dataset] cur_step=6973 phase=C_full_covt + {'loss': '3.077', 'grad_norm': '2.789', 'learning_rate': '6.619e-06', 'epoch': '0.2509'} + 77%|███████████████████████▏ | 6973/9000 [5:55:08<2:15:45, 4.02s/it] {'lm_loss': '0.6019', 'visual_loss': '2.571', 'seg_loss': '0.5944', 'dino_loss': '0.9426', 'depth_loss': '0.2848', 'vggt_mse_loss': '0.2828', 'vggt_cos_loss': '0.01983', 'pidinet_loss': '0.2173', 'siglip_loss': '0.5319', 'epoch': '0.2509'} + 77%|███████████████████████▏ | 6973/9000 [5:55:12<2:15:45, 4.02s/it][Dataset] cur_step=6974 phase=C_full_covt +[Dataset] cur_step=6974 phase=C_full_covt + 77%|███████████████████████▏ | 6974/9000 [5:55:13<2:16:14, 4.03s/it][Dataset] cur_step=6974 phase=C_full_covt[Dataset] cur_step=6974 phase=C_full_covt +[Dataset] cur_step=6974 phase=C_full_covt + +[Dataset] cur_step=6974 phase=C_full_covt +[Dataset] cur_step=6974 phase=C_full_covt +[Dataset] cur_step=6974 phase=C_full_covt + {'loss': '3.006', 'grad_norm': '2.933', 'learning_rate': '6.613e-06', 'epoch': '0.2509'} + 77%|███████████████████████▏ | 6974/9000 [5:55:13<2:16:14, 4.03s/it] {'lm_loss': '0.7711', 'visual_loss': '2.817', 'seg_loss': '0.6872', 'dino_loss': '0.9236', 'depth_loss': '0.3877', 'vggt_mse_loss': '0.3846', 'vggt_cos_loss': '0.03113', 'pidinet_loss': '0.2179', 'siglip_loss': '0.6001', 'epoch': '0.2509'} + 77%|███████████████████████▏ | 6974/9000 [5:55:16<2:16:14, 4.03s/it][Dataset] cur_step=6975 phase=C_full_covt[Dataset] cur_step=6975 phase=C_full_covt + +[Dataset] cur_step=6975 phase=C_full_covt +[Dataset] cur_step=6975 phase=C_full_covt +[Dataset] cur_step=6975 phase=C_full_covt +[Dataset] cur_step=6975 phase=C_full_covt +[Dataset] cur_step=6975 phase=C_full_covt +[Dataset] cur_step=6975 phase=C_full_covt + 78%|███████████████████████▎ | 6975/9000 [5:55:17<2:17:53, 4.09s/it] {'loss': '3.4', 'grad_norm': '5.954', 'learning_rate': '6.607e-06', 'epoch': '0.2509'} + 78%|███████████████████████▎ | 6975/9000 [5:55:17<2:17:53, 4.09s/it] {'lm_loss': '0.5227', 'visual_loss': '2.672', 'seg_loss': '0.7794', 'dino_loss': '0.9276', 'depth_loss': '0.2718', 'vggt_mse_loss': '0.2699', 'vggt_cos_loss': '0.01958', 'pidinet_loss': '0.2454', 'siglip_loss': '0.4475', 'epoch': '0.2509'} + 78%|███████████████████████▎ | 6975/9000 [5:55:20<2:17:53, 4.09s/it][Dataset] cur_step=6976 phase=C_full_covt +[Dataset] cur_step=6976 phase=C_full_covt +[Dataset] cur_step=6976 phase=C_full_covt + 78%|███████████████████████▎ | 6976/9000 [5:55:21<2:21:36, 4.20s/it][Dataset] cur_step=6976 phase=C_full_covt +[Dataset] cur_step=6976 phase=C_full_covt +[Dataset] cur_step=6976 phase=C_full_covt +[Dataset] cur_step=6976 phase=C_full_covt +[Dataset] cur_step=6976 phase=C_full_covt + {'loss': '3.189', 'grad_norm': '2.114', 'learning_rate': '6.601e-06', 'epoch': '0.251'} + 78%|███████████████████████▎ | 6976/9000 [5:55:21<2:21:36, 4.20s/it] {'lm_loss': '0.8008', 'visual_loss': '2.333', 'seg_loss': '0.6039', 'dino_loss': '0.9209', 'depth_loss': '0.2553', 'vggt_mse_loss': '0.2538', 'vggt_cos_loss': '0.01539', 'pidinet_loss': '0.2296', 'siglip_loss': '0.3233', 'epoch': '0.251'} + 78%|███████████████████████▎ | 6976/9000 [5:55:25<2:21:36, 4.20s/it][Dataset] cur_step=6977 phase=C_full_covt +[Dataset] cur_step=6977 phase=C_full_covt[Dataset] cur_step=6977 phase=C_full_covt + + 78%|███████████████████████▎ | 6977/9000 [5:55:27<2:39:29, 4.73s/it][Dataset] cur_step=6977 phase=C_full_covt +[Dataset] cur_step=6977 phase=C_full_covt[Dataset] cur_step=6977 phase=C_full_covt + +[Dataset] cur_step=6977 phase=C_full_covt +[Dataset] cur_step=6977 phase=C_full_covt + {'loss': '3.104', 'grad_norm': '3.295', 'learning_rate': '6.594e-06', 'epoch': '0.251'} + 78%|███████████████████████▎ | 6977/9000 [5:55:27<2:39:29, 4.73s/it] {'lm_loss': '0.2642', 'visual_loss': '2.662', 'seg_loss': '0.7056', 'dino_loss': '0.9329', 'depth_loss': '0.19', 'vggt_mse_loss': '0.1887', 'vggt_cos_loss': '0.01339', 'pidinet_loss': '0.2603', 'siglip_loss': '0.5732', 'epoch': '0.251'} + 78%|███████████████████████▎ | 6977/9000 [5:55:31<2:39:29, 4.73s/it][Dataset] cur_step=6978 phase=C_full_covt +[Dataset] cur_step=6978 phase=C_full_covt +[Dataset] cur_step=6978 phase=C_full_covt + 78%|███████████████████████▎ | 6978/9000 [5:55:33<2:50:52, 5.07s/it][Dataset] cur_step=6978 phase=C_full_covt +[Dataset] cur_step=6978 phase=C_full_covt[Dataset] cur_step=6978 phase=C_full_covt +[Dataset] cur_step=6978 phase=C_full_covt[Dataset] cur_step=6978 phase=C_full_covt + + + {'loss': '2.951', 'grad_norm': '3.289', 'learning_rate': '6.588e-06', 'epoch': '0.251'} + 78%|███████████████████████▎ | 6978/9000 [5:55:33<2:50:52, 5.07s/it] {'lm_loss': '0.5353', 'visual_loss': '2.782', 'seg_loss': '0.6982', 'dino_loss': '0.9158', 'depth_loss': '0.1976', 'vggt_mse_loss': '0.1962', 'vggt_cos_loss': '0.01346', 'pidinet_loss': '0.271', 'siglip_loss': '0.699', 'epoch': '0.251'} + 78%|███████████████████████▎ | 6978/9000 [5:55:36<2:50:52, 5.07s/it][Dataset] cur_step=6979 phase=C_full_covt[Dataset] cur_step=6979 phase=C_full_covt + +[Dataset] cur_step=6979 phase=C_full_covt +[Dataset] cur_step=6979 phase=C_full_covt +[Dataset] cur_step=6979 phase=C_full_covt + 78%|███████████████████████▎ | 6979/9000 [5:55:37<2:42:06, 4.81s/it][Dataset] cur_step=6979 phase=C_full_covt[Dataset] cur_step=6979 phase=C_full_covt + +[Dataset] cur_step=6979 phase=C_full_covt + {'loss': '2.939', 'grad_norm': '1.424', 'learning_rate': '6.582e-06', 'epoch': '0.2511'} + 78%|███████████████████████▎ | 6979/9000 [5:55:37<2:42:06, 4.81s/it] {'lm_loss': '0.9356', 'visual_loss': '2.855', 'seg_loss': '0.6531', 'dino_loss': '0.9056', 'depth_loss': '0.2342', 'vggt_mse_loss': '0.2325', 'vggt_cos_loss': '0.01734', 'pidinet_loss': '0.2912', 'siglip_loss': '0.7708', 'epoch': '0.2511'} + 78%|███████████████████████▎ | 6979/9000 [5:55:41<2:42:06, 4.81s/it][Dataset] cur_step=6980 phase=C_full_covt +[Dataset] cur_step=6980 phase=C_full_covt + 78%|███████████████████████▎ | 6980/9000 [5:55:41<2:33:55, 4.57s/it][Dataset] cur_step=6980 phase=C_full_covt +[Dataset] cur_step=6980 phase=C_full_covt[Dataset] cur_step=6980 phase=C_full_covt + +[Dataset] cur_step=6980 phase=C_full_covt +[Dataset] cur_step=6980 phase=C_full_covt +[Dataset] cur_step=6980 phase=C_full_covt + {'loss': '3.152', 'grad_norm': '65.71', 'learning_rate': '6.576e-06', 'epoch': '0.2511'} + 78%|███████████████████████▎ | 6980/9000 [5:55:41<2:33:55, 4.57s/it] {'lm_loss': '0.655', 'visual_loss': '2.643', 'seg_loss': '0.7235', 'dino_loss': '0.9216', 'depth_loss': '0.2373', 'vggt_mse_loss': '0.2355', 'vggt_cos_loss': '0.01828', 'pidinet_loss': '0.2163', 'siglip_loss': '0.5445', 'epoch': '0.2511'} + 78%|███████████████████████▎ | 6980/9000 [5:55:44<2:33:55, 4.57s/it][Dataset] cur_step=6981 phase=C_full_covt +[Dataset] cur_step=6981 phase=C_full_covt +[Dataset] cur_step=6981 phase=C_full_covt +[Dataset] cur_step=6981 phase=C_full_covt + 78%|███████████████████████▎ | 6981/9000 [5:55:45<2:25:54, 4.34s/it][Dataset] cur_step=6981 phase=C_full_covt +[Dataset] cur_step=6981 phase=C_full_covt +[Dataset] cur_step=6981 phase=C_full_covt[Dataset] cur_step=6981 phase=C_full_covt + + {'loss': '3.251', 'grad_norm': '2.099', 'learning_rate': '6.57e-06', 'epoch': '0.2511'} + 78%|███████████████████████▎ | 6981/9000 [5:55:45<2:25:54, 4.34s/it] {'lm_loss': '0.4455', 'visual_loss': '2.474', 'seg_loss': '0.6233', 'dino_loss': '0.8917', 'depth_loss': '0.198', 'vggt_mse_loss': '0.1966', 'vggt_cos_loss': '0.01354', 'pidinet_loss': '0.1989', 'siglip_loss': '0.5623', 'epoch': '0.2511'} + 78%|███████████████████████▎ | 6981/9000 [5:55:49<2:25:54, 4.34s/it][Dataset] cur_step=6982 phase=C_full_covt[Dataset] cur_step=6982 phase=C_full_covt + +[Dataset] cur_step=6982 phase=C_full_covt[Dataset] cur_step=6982 phase=C_full_covt + +[Dataset] cur_step=6982 phase=C_full_covt[Dataset] cur_step=6982 phase=C_full_covt 78%|███████████████████████▎ | 6982/9000 [5:55:51<2:40:45, 4.78s/it] + +[Dataset] cur_step=6982 phase=C_full_covt +[Dataset] cur_step=6982 phase=C_full_covt + {'loss': '3.012', 'grad_norm': '1.744', 'learning_rate': '6.563e-06', 'epoch': '0.2512'} + 78%|███████████████████████▎ | 6982/9000 [5:55:51<2:40:45, 4.78s/it] {'lm_loss': '0.6126', 'visual_loss': '2.954', 'seg_loss': '0.6629', 'dino_loss': '0.9207', 'depth_loss': '0.5213', 'vggt_mse_loss': '0.5175', 'vggt_cos_loss': '0.03842', 'pidinet_loss': '0.2368', 'siglip_loss': '0.6126', 'epoch': '0.2512'} + 78%|███████████████████████▎ | 6982/9000 [5:55:57<2:40:45, 4.78s/it][Dataset] cur_step=6983 phase=C_full_covt + 78%|███████████████████████▎ | 6983/9000 [5:55:57<2:57:29, 5.28s/it][Dataset] cur_step=6983 phase=C_full_covt +[Dataset] cur_step=6983 phase=C_full_covt +[Dataset] cur_step=6983 phase=C_full_covt +[Dataset] cur_step=6983 phase=C_full_covt +[Dataset] cur_step=6983 phase=C_full_covt +[Dataset] cur_step=6983 phase=C_full_covt +[Dataset] cur_step=6983 phase=C_full_covt + {'loss': '3.266', 'grad_norm': '5.888', 'learning_rate': '6.557e-06', 'epoch': '0.2512'} + 78%|███████████████████████▎ | 6983/9000 [5:55:57<2:57:29, 5.28s/it] {'lm_loss': '0.01645', 'visual_loss': '2.619', 'seg_loss': '0.7035', 'dino_loss': '0.9222', 'depth_loss': '0.2171', 'vggt_mse_loss': '0.2157', 'vggt_cos_loss': '0.01408', 'pidinet_loss': '0.2712', 'siglip_loss': '0.5055', 'epoch': '0.2512'} + 78%|███████████████████████▎ | 6983/9000 [5:56:01<2:57:29, 5.28s/it][Dataset] cur_step=6984 phase=C_full_covt +[Dataset] cur_step=6984 phase=C_full_covt +[Dataset] cur_step=6984 phase=C_full_covt + 78%|███████████████████████▎ | 6984/9000 [5:56:02<2:48:09, 5.00s/it][Dataset] cur_step=6984 phase=C_full_covt +[Dataset] cur_step=6984 phase=C_full_covt +[Dataset] cur_step=6984 phase=C_full_covt +[Dataset] cur_step=6984 phase=C_full_covt +[Dataset] cur_step=6984 phase=C_full_covt + {'loss': '3.193', 'grad_norm': '2.486', 'learning_rate': '6.551e-06', 'epoch': '0.2513'} + 78%|███████████████████████▎ | 6984/9000 [5:56:02<2:48:09, 5.00s/it] {'lm_loss': '0.4715', 'visual_loss': '2.606', 'seg_loss': '0.6317', 'dino_loss': '0.926', 'depth_loss': '0.2121', 'vggt_mse_loss': '0.2106', 'vggt_cos_loss': '0.01523', 'pidinet_loss': '0.2889', 'siglip_loss': '0.5474', 'epoch': '0.2513'} + 78%|███████████████████████▎ | 6984/9000 [5:56:05<2:48:09, 5.00s/it][Dataset] cur_step=6985 phase=C_full_covt +[Dataset] cur_step=6985 phase=C_full_covt[Dataset] cur_step=6985 phase=C_full_covt + +[Dataset] cur_step=6985 phase=C_full_covt + 78%|███████████████████████▎ | 6985/9000 [5:56:07<2:55:32, 5.23s/it][Dataset] cur_step=6985 phase=C_full_covt +[Dataset] cur_step=6985 phase=C_full_covt +[Dataset] cur_step=6985 phase=C_full_covt +[Dataset] cur_step=6985 phase=C_full_covt + {'loss': '3.157', 'grad_norm': '1.529', 'learning_rate': '6.545e-06', 'epoch': '0.2513'} + 78%|███████████████████████▎ | 6985/9000 [5:56:07<2:55:32, 5.23s/it] {'lm_loss': '0.4477', 'visual_loss': '2.969', 'seg_loss': '0.8155', 'dino_loss': '0.8927', 'depth_loss': '0.2541', 'vggt_mse_loss': '0.2521', 'vggt_cos_loss': '0.0202', 'pidinet_loss': '0.2454', 'siglip_loss': '0.7611', 'epoch': '0.2513'} + 78%|███████████████████████▎ | 6985/9000 [5:56:11<2:55:32, 5.23s/it][Dataset] cur_step=6986 phase=C_full_covt +[Dataset] cur_step=6986 phase=C_full_covt[Dataset] cur_step=6986 phase=C_full_covt + +[Dataset] cur_step=6986 phase=C_full_covt +[Dataset] cur_step=6986 phase=C_full_covt + 78%|███████████████████████▎ | 6986/9000 [5:56:12<2:44:57, 4.91s/it][Dataset] cur_step=6986 phase=C_full_covt +[Dataset] cur_step=6986 phase=C_full_covt +[Dataset] cur_step=6986 phase=C_full_covt + {'loss': '3.081', 'grad_norm': '58.3', 'learning_rate': '6.539e-06', 'epoch': '0.2513'} + 78%|███████████████████████▎ | 6986/9000 [5:56:12<2:44:57, 4.91s/it] {'lm_loss': '0.337', 'visual_loss': '2.677', 'seg_loss': '0.6636', 'dino_loss': '0.9269', 'depth_loss': '0.3661', 'vggt_mse_loss': '0.3629', 'vggt_cos_loss': '0.03168', 'pidinet_loss': '0.2363', 'siglip_loss': '0.4839', 'epoch': '0.2513'} + 78%|███████████████████████▎ | 6986/9000 [5:56:15<2:44:57, 4.91s/it][Dataset] cur_step=6987 phase=C_full_covt + 78%|███████████████████████▎ | 6987/9000 [5:56:16<2:35:56, 4.65s/it][Dataset] cur_step=6987 phase=C_full_covt +[Dataset] cur_step=6987 phase=C_full_covt +[Dataset] cur_step=6987 phase=C_full_covt +[Dataset] cur_step=6987 phase=C_full_covt +[Dataset] cur_step=6987 phase=C_full_covt +[Dataset] cur_step=6987 phase=C_full_covt +[Dataset] cur_step=6987 phase=C_full_covt + {'loss': '3.284', 'grad_norm': '2.115', 'learning_rate': '6.532e-06', 'epoch': '0.2514'} + 78%|███████████████████████▎ | 6987/9000 [5:56:16<2:35:56, 4.65s/it] {'lm_loss': '0.4712', 'visual_loss': '2.742', 'seg_loss': '0.7657', 'dino_loss': '0.9177', 'depth_loss': '0.2755', 'vggt_mse_loss': '0.2735', 'vggt_cos_loss': '0.02003', 'pidinet_loss': '0.218', 'siglip_loss': '0.5653', 'epoch': '0.2514'} + 78%|███████████████████████▎ | 6987/9000 [5:56:19<2:35:56, 4.65s/it][Dataset] cur_step=6988 phase=C_full_covt[Dataset] cur_step=6988 phase=C_full_covt + + 78%|███████████████████████▎ | 6988/9000 [5:56:20<2:29:18, 4.45s/it][Dataset] cur_step=6988 phase=C_full_covt +[Dataset] cur_step=6988 phase=C_full_covt[Dataset] cur_step=6988 phase=C_full_covt + +[Dataset] cur_step=6988 phase=C_full_covt +[Dataset] cur_step=6988 phase=C_full_covt +[Dataset] cur_step=6988 phase=C_full_covt + {'loss': '3.174', 'grad_norm': '1.913', 'learning_rate': '6.526e-06', 'epoch': '0.2514'} + 78%|███████████████████████▎ | 6988/9000 [5:56:20<2:29:18, 4.45s/it] {'lm_loss': '0.004531', 'visual_loss': '2.706', 'seg_loss': '0.7296', 'dino_loss': '0.9263', 'depth_loss': '0.278', 'vggt_mse_loss': '0.2753', 'vggt_cos_loss': '0.02707', 'pidinet_loss': '0.2755', 'siglip_loss': '0.4962', 'epoch': '0.2514'} + 78%|███████████████████████▎ | 6988/9000 [5:56:23<2:29:18, 4.45s/it][Dataset] cur_step=6989 phase=C_full_covt[Dataset] cur_step=6989 phase=C_full_covt + +[Dataset] cur_step=6989 phase=C_full_covt[Dataset] cur_step=6989 phase=C_full_covt + +[Dataset] cur_step=6989 phase=C_full_covt + 78%|███████████████████████▎ | 6989/9000 [5:56:23<2:22:57, 4.27s/it][Dataset] cur_step=6989 phase=C_full_covt +[Dataset] cur_step=6989 phase=C_full_covt +[Dataset] cur_step=6989 phase=C_full_covt + {'loss': '3.009', 'grad_norm': '2.199', 'learning_rate': '6.52e-06', 'epoch': '0.2514'} + 78%|███████████████████████▎ | 6989/9000 [5:56:23<2:22:57, 4.27s/it] {'lm_loss': '0.3446', 'visual_loss': '2.636', 'seg_loss': '0.7661', 'dino_loss': '0.9058', 'depth_loss': '0.2229', 'vggt_mse_loss': '0.2211', 'vggt_cos_loss': '0.01772', 'pidinet_loss': '0.2797', 'siglip_loss': '0.4617', 'epoch': '0.2514'} + 78%|███████████████████████▎ | 6989/9000 [5:56:27<2:22:57, 4.27s/it][Dataset] cur_step=6990 phase=C_full_covt +[Dataset] cur_step=6990 phase=C_full_covt +[Dataset] cur_step=6990 phase=C_full_covt +[Dataset] cur_step=6990 phase=C_full_covt +[Dataset] cur_step=6990 phase=C_full_covt +[Dataset] cur_step=6990 phase=C_full_covt +[Dataset] cur_step=6990 phase=C_full_covt +[Dataset] cur_step=6990 phase=C_full_covt + 78%|███████████████████████▎ | 6990/9000 [5:56:28<2:22:17, 4.25s/it] {'loss': '3.166', 'grad_norm': '1.919', 'learning_rate': '6.514e-06', 'epoch': '0.2515'} + 78%|███████████████████████▎ | 6990/9000 [5:56:28<2:22:17, 4.25s/it] {'lm_loss': '0.4534', 'visual_loss': '2.774', 'seg_loss': '0.8083', 'dino_loss': '0.9302', 'depth_loss': '0.219', 'vggt_mse_loss': '0.2172', 'vggt_cos_loss': '0.01717', 'pidinet_loss': '0.2372', 'siglip_loss': '0.5791', 'epoch': '0.2515'} + 78%|███████████████████████▎ | 6990/9000 [5:56:31<2:22:17, 4.25s/it][Dataset] cur_step=6991 phase=C_full_covt[Dataset] cur_step=6991 phase=C_full_covt + +[Dataset] cur_step=6991 phase=C_full_covt +[Dataset] cur_step=6991 phase=C_full_covt + 78%|███████████████████████▎ | 6991/9000 [5:56:32<2:23:51, 4.30s/it][Dataset] cur_step=6991 phase=C_full_covt[Dataset] cur_step=6991 phase=C_full_covt + +[Dataset] cur_step=6991 phase=C_full_covt +[Dataset] cur_step=6991 phase=C_full_covt + {'loss': '3.123', 'grad_norm': '2.189', 'learning_rate': '6.508e-06', 'epoch': '0.2515'} + 78%|███████████████████████▎ | 6991/9000 [5:56:32<2:23:51, 4.30s/it] {'lm_loss': '0.6209', 'visual_loss': '2.615', 'seg_loss': '0.6387', 'dino_loss': '0.9037', 'depth_loss': '0.2521', 'vggt_mse_loss': '0.2499', 'vggt_cos_loss': '0.02199', 'pidinet_loss': '0.2404', 'siglip_loss': '0.5803', 'epoch': '0.2515'} + 78%|███████████████████████▎ | 6991/9000 [5:56:36<2:23:51, 4.30s/it][Dataset] cur_step=6992 phase=C_full_covt +[Dataset] cur_step=6992 phase=C_full_covt +[Dataset] cur_step=6992 phase=C_full_covt[Dataset] cur_step=6992 phase=C_full_covt + +[Dataset] cur_step=6992 phase=C_full_covt +[Dataset] cur_step=6992 phase=C_full_covt + 78%|███████████████████████▎ | 6992/9000 [5:56:36<2:21:00, 4.21s/it][Dataset] cur_step=6992 phase=C_full_covt +[Dataset] cur_step=6992 phase=C_full_covt + {'loss': '3.201', 'grad_norm': '2.8', 'learning_rate': '6.501e-06', 'epoch': '0.2515'} + 78%|███████████████████████▎ | 6992/9000 [5:56:36<2:21:00, 4.21s/it] {'lm_loss': '0.3942', 'visual_loss': '2.637', 'seg_loss': '0.75', 'dino_loss': '0.8889', 'depth_loss': '0.233', 'vggt_mse_loss': '0.2315', 'vggt_cos_loss': '0.01501', 'pidinet_loss': '0.2476', 'siglip_loss': '0.5176', 'epoch': '0.2515'} + 78%|███████████████████████▎ | 6992/9000 [5:56:39<2:21:00, 4.21s/it][Dataset] cur_step=6993 phase=C_full_covt[Dataset] cur_step=6993 phase=C_full_covt + +[Dataset] cur_step=6993 phase=C_full_covt +[Dataset] cur_step=6993 phase=C_full_covt +[Dataset] cur_step=6993 phase=C_full_covt +[Dataset] cur_step=6993 phase=C_full_covt +[Dataset] cur_step=6993 phase=C_full_covt +[Dataset] cur_step=6993 phase=C_full_covt + 78%|███████████████████████▎ | 6993/9000 [5:56:40<2:17:39, 4.12s/it] {'loss': '3.351', 'grad_norm': '2.233', 'learning_rate': '6.495e-06', 'epoch': '0.2516'} + 78%|███████████████████████▎ | 6993/9000 [5:56:40<2:17:39, 4.12s/it] {'lm_loss': '0.01083', 'visual_loss': '2.83', 'seg_loss': '0.7153', 'dino_loss': '0.9345', 'depth_loss': '0.3523', 'vggt_mse_loss': '0.3499', 'vggt_cos_loss': '0.02415', 'pidinet_loss': '0.2212', 'siglip_loss': '0.6067', 'epoch': '0.2516'} + 78%|███████████████████████▎ | 6993/9000 [5:56:43<2:17:39, 4.12s/it][Dataset] cur_step=6994 phase=C_full_covt +[Dataset] cur_step=6994 phase=C_full_covt +[Dataset] cur_step=6994 phase=C_full_covt +[Dataset] cur_step=6994 phase=C_full_covt + 78%|███████████████████████▎ | 6994/9000 [5:56:44<2:16:30, 4.08s/it][Dataset] cur_step=6994 phase=C_full_covt +[Dataset] cur_step=6994 phase=C_full_covt +[Dataset] cur_step=6994 phase=C_full_covt +[Dataset] cur_step=6994 phase=C_full_covt + {'loss': '3.123', 'grad_norm': '2.682', 'learning_rate': '6.489e-06', 'epoch': '0.2516'} + 78%|███████████████████████▎ | 6994/9000 [5:56:44<2:16:30, 4.08s/it] {'lm_loss': '0.463', 'visual_loss': '2.676', 'seg_loss': '0.8711', 'dino_loss': '0.8958', 'depth_loss': '0.1693', 'vggt_mse_loss': '0.1683', 'vggt_cos_loss': '0.0107', 'pidinet_loss': '0.2293', 'siglip_loss': '0.5103', 'epoch': '0.2516'} + 78%|███████████████████████▎ | 6994/9000 [5:56:47<2:16:30, 4.08s/it][Dataset] cur_step=6995 phase=C_full_covt +[Dataset] cur_step=6995 phase=C_full_covt +[Dataset] cur_step=6995 phase=C_full_covt +[Dataset] cur_step=6995 phase=C_full_covt +[Dataset] cur_step=6995 phase=C_full_covt + 78%|███████████████████████▎ | 6995/9000 [5:56:48<2:17:35, 4.12s/it][Dataset] cur_step=6995 phase=C_full_covt +[Dataset] cur_step=6995 phase=C_full_covt +[Dataset] cur_step=6995 phase=C_full_covt + {'loss': '3.339', 'grad_norm': '2.123', 'learning_rate': '6.483e-06', 'epoch': '0.2516'} + 78%|███████████████████████▎ | 6995/9000 [5:56:48<2:17:35, 4.12s/it] {'lm_loss': '0.5995', 'visual_loss': '2.67', 'seg_loss': '0.7054', 'dino_loss': '0.9128', 'depth_loss': '0.2233', 'vggt_mse_loss': '0.2217', 'vggt_cos_loss': '0.01566', 'pidinet_loss': '0.2563', 'siglip_loss': '0.5722', 'epoch': '0.2516'} + 78%|███████████████████████▎ | 6995/9000 [5:56:51<2:17:35, 4.12s/it][Dataset] cur_step=6996 phase=C_full_covt +[Dataset] cur_step=6996 phase=C_full_covt[Dataset] cur_step=6996 phase=C_full_covt[Dataset] cur_step=6996 phase=C_full_covt + + +[Dataset] cur_step=6996 phase=C_full_covt + 78%|███████████████████████▎ | 6996/9000 [5:56:52<2:13:54, 4.01s/it][Dataset] cur_step=6996 phase=C_full_covt +[Dataset] cur_step=6996 phase=C_full_covt +[Dataset] cur_step=6996 phase=C_full_covt + {'loss': '3.293', 'grad_norm': '3.593', 'learning_rate': '6.477e-06', 'epoch': '0.2517'} + 78%|███████████████████████▎ | 6996/9000 [5:56:52<2:13:54, 4.01s/it] {'lm_loss': '0.2798', 'visual_loss': '2.331', 'seg_loss': '0.6319', 'dino_loss': '0.9003', 'depth_loss': '0.2385', 'vggt_mse_loss': '0.2372', 'vggt_cos_loss': '0.0125', 'pidinet_loss': '0.2076', 'siglip_loss': '0.3532', 'epoch': '0.2517'} + 78%|███████████████████████▎ | 6996/9000 [5:56:56<2:13:54, 4.01s/it][Dataset] cur_step=6997 phase=C_full_covt +[Dataset] cur_step=6997 phase=C_full_covt[Dataset] cur_step=6997 phase=C_full_covt + + 78%|███████████████████████▎ | 6997/9000 [5:56:56<2:14:28, 4.03s/it][Dataset] cur_step=6997 phase=C_full_covt +[Dataset] cur_step=6997 phase=C_full_covt +[Dataset] cur_step=6997 phase=C_full_covt +[Dataset] cur_step=6997 phase=C_full_covt[Dataset] cur_step=6997 phase=C_full_covt + + {'loss': '3.214', 'grad_norm': '2.12', 'learning_rate': '6.471e-06', 'epoch': '0.2517'} + 78%|███████████████████████▎ | 6997/9000 [5:56:56<2:14:28, 4.03s/it] {'lm_loss': '0.008493', 'visual_loss': '2.342', 'seg_loss': '0.6189', 'dino_loss': '0.8965', 'depth_loss': '0.2471', 'vggt_mse_loss': '0.2456', 'vggt_cos_loss': '0.01486', 'pidinet_loss': '0.1916', 'siglip_loss': '0.388', 'epoch': '0.2517'} + 78%|███████████████████████▎ | 6997/9000 [5:56:59<2:14:28, 4.03s/it][Dataset] cur_step=6998 phase=C_full_covt +[Dataset] cur_step=6998 phase=C_full_covt[Dataset] cur_step=6998 phase=C_full_covt + +[Dataset] cur_step=6998 phase=C_full_covt +[Dataset] cur_step=6998 phase=C_full_covt[Dataset] cur_step=6998 phase=C_full_covt + +[Dataset] cur_step=6998 phase=C_full_covt +[Dataset] cur_step=6998 phase=C_full_covt 78%|███████████████████████▎ | 6998/9000 [5:57:00<2:14:58, 4.05s/it] + {'loss': '3.053', 'grad_norm': '2.077', 'learning_rate': '6.464e-06', 'epoch': '0.2518'} + 78%|███████████████████████▎ | 6998/9000 [5:57:00<2:14:58, 4.05s/it] {'lm_loss': '0.8285', 'visual_loss': '2.938', 'seg_loss': '0.7963', 'dino_loss': '0.8727', 'depth_loss': '0.3087', 'vggt_mse_loss': '0.3066', 'vggt_cos_loss': '0.0206', 'pidinet_loss': '0.2662', 'siglip_loss': '0.6942', 'epoch': '0.2518'} + 78%|███████████████████████▎ | 6998/9000 [5:57:03<2:14:58, 4.05s/it][Dataset] cur_step=6999 phase=C_full_covt +[Dataset] cur_step=6999 phase=C_full_covt +[Dataset] cur_step=6999 phase=C_full_covt +[Dataset] cur_step=6999 phase=C_full_covt +[Dataset] cur_step=6999 phase=C_full_covt +[Dataset] cur_step=6999 phase=C_full_covt +[Dataset] cur_step=6999 phase=C_full_covt +[Dataset] cur_step=6999 phase=C_full_covt + 78%|███████████████████████▎ | 6999/9000 [5:57:04<2:11:43, 3.95s/it] {'loss': '3.221', 'grad_norm': '12.28', 'learning_rate': '6.458e-06', 'epoch': '0.2518'} + 78%|███████████████████████▎ | 6999/9000 [5:57:04<2:11:43, 3.95s/it] {'lm_loss': '0.4089', 'visual_loss': '2.83', 'seg_loss': '0.8608', 'dino_loss': '0.9237', 'depth_loss': '0.2759', 'vggt_mse_loss': '0.274', 'vggt_cos_loss': '0.01908', 'pidinet_loss': '0.2561', 'siglip_loss': '0.514', 'epoch': '0.2518'} + 78%|███████████████████████▎ | 6999/9000 [5:57:07<2:11:43, 3.95s/it][Dataset] cur_step=7000 phase=D_mixed_covt +[Dataset] cur_step=7000 phase=D_mixed_covt +[Dataset] cur_step=7000 phase=D_mixed_covt +[Dataset] cur_step=7000 phase=D_mixed_covt +[Dataset] cur_step=7000 phase=D_mixed_covt +[Dataset] cur_step=7000 phase=D_mixed_covt +[Dataset] cur_step=7000 phase=D_mixed_covt +[Dataset] cur_step=7000 phase=D_mixed_covt +[cvbench] step=7000 metrics={"eval/cvbench_2d_accuracy": 0.776, "eval/cvbench_2d_count_accuracy": 0.6788321167883211, "eval/cvbench_2d_relation_accuracy": 0.8938053097345132, "eval/cvbench_2d_task_macro_accuracy": 0.7863187132614171, "eval/cvbench_3d_accuracy": 0.884, "eval/cvbench_3d_depth_accuracy": 0.944, "eval/cvbench_3d_distance_accuracy": 0.824, "eval/cvbench_3d_task_macro_accuracy": 0.8839999999999999, "eval/cvbench_accuracy": 0.83, "eval/cvbench_covt_answer_tag_rate": 1.0, "eval/cvbench_covt_any_anchor_rate": 1.0, "eval/cvbench_covt_depth_tokens_mean": 4.0, "eval/cvbench_covt_dino_tokens_mean": 4.0, "eval/cvbench_covt_pidinet_tokens_mean": 4.0, "eval/cvbench_covt_sam_tokens_mean": 8.0, "eval/cvbench_covt_siglip_tokens_mean": 4.0, "eval/cvbench_covt_think_rate": 1.0, "eval/cvbench_errors": 0.0, "eval/cvbench_parse_rate": 1.0, "eval/cvbench_samples": 500.0, "eval/cvbench_seconds": 306.8486841470003, "eval/cvbench_task_macro_accuracy": 0.8351593566307085} + 78%|██████████████████████▌ | 7000/9000 [6:02:15<53:24:15, 96.13s/it] {'loss': '3.064', 'grad_norm': '1.764', 'learning_rate': '6.452e-06', 'epoch': '0.2518'} + 78%|██████████████████████▌ | 7000/9000 [6:02:15<53:24:15, 96.13s/it]Saving model checkpoint to /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-7000 +chat template saved in /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-7000/chat_template.jinja +tokenizer config file saved in /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-7000/tokenizer_config.json +chat template saved in /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-7000/chat_template.jinja +processor saved in /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-7000/processor_config.json + {'lm_loss': '0.4447', 'visual_loss': '2.304', 'seg_loss': '0.515', 'dino_loss': '0.9199', 'depth_loss': '0.2086', 'vggt_mse_loss': '0.207', 'vggt_cos_loss': '0.01644', 'pidinet_loss': '0.1616', 'siglip_loss': '0.4986', 'epoch': '0.2518'} + 78%|██████████████████████▌ | 7000/9000 [6:02:40<53:24:15, 96.13s/it][Dataset] cur_step=7001 phase=D_mixed_covt +[Dataset] cur_step=7001 phase=D_mixed_covt[Dataset] cur_step=7001 phase=D_mixed_covt + +[Dataset] cur_step=7001 phase=D_mixed_covt[Dataset] cur_step=7001 phase=D_mixed_covt + +[Dataset] cur_step=7001 phase=D_mixed_covt + 78%|██████████████████████▌ | 7001/9000 [6:02:40<41:32:48, 74.82s/it][Dataset] cur_step=7001 phase=D_mixed_covt[Dataset] cur_step=7001 phase=D_mixed_covt + + {'loss': '3.288', 'grad_norm': '1.959', 'learning_rate': '6.446e-06', 'epoch': '0.2519'} + 78%|██████████████████████▌ | 7001/9000 [6:02:40<41:32:48, 74.82s/it] {'lm_loss': '1.333', 'visual_loss': '2.454', 'seg_loss': '0.8124', 'dino_loss': '0.9252', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0', 'siglip_loss': '0.7162', 'epoch': '0.2519'} + 78%|██████████████████████▌ | 7001/9000 [6:02:42<41:32:48, 74.82s/it][Dataset] cur_step=7002 phase=D_mixed_covt +[Dataset] cur_step=7002 phase=D_mixed_covt +[Dataset] cur_step=7002 phase=D_mixed_covt +[Dataset] cur_step=7002 phase=D_mixed_covt +[Dataset] cur_step=7002 phase=D_mixed_covt +[Dataset] cur_step=7002 phase=D_mixed_covt + 78%|██████████████████████▌ | 7002/9000 [6:02:43<29:30:12, 53.16s/it][Dataset] cur_step=7002 phase=D_mixed_covt +[Dataset] cur_step=7002 phase=D_mixed_covt + {'loss': '3.492', 'grad_norm': '6.23', 'learning_rate': '6.44e-06', 'epoch': '0.2519'} + 78%|██████████████████████▌ | 7002/9000 [6:02:43<29:30:12, 53.16s/it] {'lm_loss': '0.9968', 'visual_loss': '2.64', 'seg_loss': '0.7599', 'dino_loss': '0.8939', 'depth_loss': '0.1899', 'vggt_mse_loss': '0.1885', 'vggt_cos_loss': '0.01334', 'pidinet_loss': '0.2474', 'siglip_loss': '0.5493', 'epoch': '0.2519'} + 78%|██████████████████████▌ | 7002/9000 [6:02:46<29:30:12, 53.16s/it][Dataset] cur_step=7003 phase=D_mixed_covt[Dataset] cur_step=7003 phase=D_mixed_covt[Dataset] cur_step=7003 phase=D_mixed_covt + + +[Dataset] cur_step=7003 phase=D_mixed_covt +[Dataset] cur_step=7003 phase=D_mixed_covt + 78%|██████████████████████▌ | 7003/9000 [6:02:47<21:19:28, 38.44s/it][Dataset] cur_step=7003 phase=D_mixed_covt +[Dataset] cur_step=7003 phase=D_mixed_covt +[Dataset] cur_step=7003 phase=D_mixed_covt + {'loss': '3.285', 'grad_norm': '15.33', 'learning_rate': '6.434e-06', 'epoch': '0.2519'} + 78%|██████████████████████▌ | 7003/9000 [6:02:47<21:19:28, 38.44s/it] {'lm_loss': '1.618', 'visual_loss': '2.508', 'seg_loss': '0.5726', 'dino_loss': '0.8935', 'depth_loss': '0.2498', 'vggt_mse_loss': '0.248', 'vggt_cos_loss': '0.01808', 'pidinet_loss': '0.161', 'siglip_loss': '0.6312', 'epoch': '0.2519'} + 78%|██████████████████████▌ | 7003/9000 [6:02:49<21:19:28, 38.44s/it][Dataset] cur_step=7004 phase=D_mixed_covt +[Dataset] cur_step=7004 phase=D_mixed_covt[Dataset] cur_step=7004 phase=D_mixed_covt + +[Dataset] cur_step=7004 phase=D_mixed_covt[Dataset] cur_step=7004 phase=D_mixed_covt + +[Dataset] cur_step=7004 phase=D_mixed_covt 78%|██████████████████████▌ | 7004/9000 [6:02:49<15:21:25, 27.70s/it] +[Dataset] cur_step=7004 phase=D_mixed_covt +[Dataset] cur_step=7004 phase=D_mixed_covt + {'loss': '3.985', 'grad_norm': '5.748', 'learning_rate': '6.428e-06', 'epoch': '0.252'} + 78%|██████████████████████▌ | 7004/9000 [6:02:49<15:21:25, 27.70s/it] {'lm_loss': '0.7991', 'visual_loss': '3.005', 'seg_loss': '0.7429', 'dino_loss': '0.9062', 'depth_loss': '0.1961', 'vggt_mse_loss': '0.1947', 'vggt_cos_loss': '0.01381', 'pidinet_loss': '0.253', 'siglip_loss': '0.9071', 'epoch': '0.252'} + 78%|██████████████████████▌ | 7004/9000 [6:02:51<15:21:25, 27.70s/it][Dataset] cur_step=7005 phase=D_mixed_covt +[Dataset] cur_step=7005 phase=D_mixed_covt[Dataset] cur_step=7005 phase=D_mixed_covt + +[Dataset] cur_step=7005 phase=D_mixed_covt +[Dataset] cur_step=7005 phase=D_mixed_covt +[Dataset] cur_step=7005 phase=D_mixed_covt + 78%|██████████████████████▌ | 7005/9000 [6:02:52<11:11:45, 20.20s/it][Dataset] cur_step=7005 phase=D_mixed_covt +[Dataset] cur_step=7005 phase=D_mixed_covt + {'loss': '3.362', 'grad_norm': '5.151', 'learning_rate': '6.421e-06', 'epoch': '0.252'} + 78%|██████████████████████▌ | 7005/9000 [6:02:52<11:11:45, 20.20s/it] {'lm_loss': '1.256', 'visual_loss': '3.14', 'seg_loss': '0.8679', 'dino_loss': '0.9021', 'depth_loss': '0.1915', 'vggt_mse_loss': '0.1904', 'vggt_cos_loss': '0.01105', 'pidinet_loss': '0.384', 'siglip_loss': '0.7942', 'epoch': '0.252'} + 78%|██████████████████████▌ | 7005/9000 [6:02:53<11:11:45, 20.20s/it][Dataset] cur_step=7006 phase=D_mixed_covt +[Dataset] cur_step=7006 phase=D_mixed_covt[Dataset] cur_step=7006 phase=D_mixed_covt[Dataset] cur_step=7006 phase=D_mixed_covt + +[Dataset] cur_step=7006 phase=D_mixed_covt + +[Dataset] cur_step=7006 phase=D_mixed_covt +[Dataset] cur_step=7006 phase=D_mixed_covt + 78%|███████████████████████▎ | 7006/9000 [6:02:54<8:06:59, 14.65s/it][Dataset] cur_step=7006 phase=D_mixed_covt + {'loss': '3.76', 'grad_norm': '7.517', 'learning_rate': '6.415e-06', 'epoch': '0.252'} + 78%|███████████████████████▎ | 7006/9000 [6:02:54<8:06:59, 14.65s/it] {'lm_loss': '0.6002', 'visual_loss': '2.081', 'seg_loss': '0.616', 'dino_loss': '0.8413', 'depth_loss': '0.2115', 'vggt_mse_loss': '0.2104', 'vggt_cos_loss': '0.01164', 'pidinet_loss': '0.06728', 'siglip_loss': '0.3444', 'epoch': '0.252'} + 78%|███████████████████████▎ | 7006/9000 [6:02:56<8:06:59, 14.65s/it][Dataset] cur_step=7007 phase=D_mixed_covt[Dataset] cur_step=7007 phase=D_mixed_covt[Dataset] cur_step=7007 phase=D_mixed_covt + + +[Dataset] cur_step=7007 phase=D_mixed_covt +[Dataset] cur_step=7007 phase=D_mixed_covt + 78%|███████████████████████▎ | 7007/9000 [6:02:57<6:06:41, 11.04s/it][Dataset] cur_step=7007 phase=D_mixed_covt +[Dataset] cur_step=7007 phase=D_mixed_covt +[Dataset] cur_step=7007 phase=D_mixed_covt + {'loss': '3.371', 'grad_norm': '5.308', 'learning_rate': '6.409e-06', 'epoch': '0.2521'} + 78%|███████████████████████▎ | 7007/9000 [6:02:57<6:06:41, 11.04s/it] {'lm_loss': '0.6617', 'visual_loss': '2.746', 'seg_loss': '0.5862', 'dino_loss': '0.9098', 'depth_loss': '0.2543', 'vggt_mse_loss': '0.2523', 'vggt_cos_loss': '0.01995', 'pidinet_loss': '0.2804', 'siglip_loss': '0.7154', 'epoch': '0.2521'} + 78%|███████████████████████▎ | 7007/9000 [6:03:00<6:06:41, 11.04s/it][Dataset] cur_step=7008 phase=D_mixed_covt +[Dataset] cur_step=7008 phase=D_mixed_covt +[Dataset] cur_step=7008 phase=D_mixed_covt + 78%|███████████████████████▎ | 7008/9000 [6:03:00<4:50:31, 8.75s/it][Dataset] cur_step=7008 phase=D_mixed_covt +[Dataset] cur_step=7008 phase=D_mixed_covt +[Dataset] cur_step=7008 phase=D_mixed_covt[Dataset] cur_step=7008 phase=D_mixed_covt + +[Dataset] cur_step=7008 phase=D_mixed_covt + {'loss': '3.129', 'grad_norm': '3.868', 'learning_rate': '6.403e-06', 'epoch': '0.2521'} + 78%|███████████████████████▎ | 7008/9000 [6:03:00<4:50:31, 8.75s/it] {'lm_loss': '0.8006', 'visual_loss': '2.749', 'seg_loss': '0.7391', 'dino_loss': '0.9327', 'depth_loss': '0.2292', 'vggt_mse_loss': '0.2276', 'vggt_cos_loss': '0.01593', 'pidinet_loss': '0.2841', 'siglip_loss': '0.5641', 'epoch': '0.2521'} + 78%|███████████████████████▎ | 7008/9000 [6:03:02<4:50:31, 8.75s/it][Dataset] cur_step=7009 phase=D_mixed_covt[Dataset] cur_step=7009 phase=D_mixed_covt + +[Dataset] cur_step=7009 phase=D_mixed_covt +[Dataset] cur_step=7009 phase=D_mixed_covt +[Dataset] cur_step=7009 phase=D_mixed_covt +[Dataset] cur_step=7009 phase=D_mixed_covt +[Dataset] cur_step=7009 phase=D_mixed_covt +[Dataset] cur_step=7009 phase=D_mixed_covt + 78%|███████████████████████▎ | 7009/9000 [6:03:03<3:53:44, 7.04s/it] {'loss': '3.404', 'grad_norm': '4.484', 'learning_rate': '6.397e-06', 'epoch': '0.2521'} + 78%|███████████████████████▎ | 7009/9000 [6:03:03<3:53:44, 7.04s/it] {'lm_loss': '0.6023', 'visual_loss': '2.225', 'seg_loss': '0.6507', 'dino_loss': '0.9073', 'depth_loss': '0.204', 'vggt_mse_loss': '0.2027', 'vggt_cos_loss': '0.01295', 'pidinet_loss': '0.1483', 'siglip_loss': '0.3151', 'epoch': '0.2521'} + 78%|███████████████████████▎ | 7009/9000 [6:03:06<3:53:44, 7.04s/it][Dataset] cur_step=7010 phase=D_mixed_covt[Dataset] cur_step=7010 phase=D_mixed_covt + +[Dataset] cur_step=7010 phase=D_mixed_covt + 78%|███████████████████████▎ | 7010/9000 [6:03:07<3:19:40, 6.02s/it][Dataset] cur_step=7010 phase=D_mixed_covt[Dataset] cur_step=7010 phase=D_mixed_covt + +[Dataset] cur_step=7010 phase=D_mixed_covt +[Dataset] cur_step=7010 phase=D_mixed_covt +[Dataset] cur_step=7010 phase=D_mixed_covt + {'loss': '3.073', 'grad_norm': '8.026', 'learning_rate': '6.391e-06', 'epoch': '0.2522'} + 78%|███████████████████████▎ | 7010/9000 [6:03:07<3:19:40, 6.02s/it] {'lm_loss': '0.4167', 'visual_loss': '2.606', 'seg_loss': '0.6737', 'dino_loss': '0.883', 'depth_loss': '0.2247', 'vggt_mse_loss': '0.2232', 'vggt_cos_loss': '0.01573', 'pidinet_loss': '0.2375', 'siglip_loss': '0.5872', 'epoch': '0.2522'} + 78%|███████████████████████▎ | 7010/9000 [6:03:09<3:19:40, 6.02s/it][Dataset] cur_step=7011 phase=D_mixed_covt +[Dataset] cur_step=7011 phase=D_mixed_covt +[Dataset] cur_step=7011 phase=D_mixed_covt +[Dataset] cur_step=7011 phase=D_mixed_covt +[Dataset] cur_step=7011 phase=D_mixed_covt[Dataset] cur_step=7011 phase=D_mixed_covt + + 78%|███████████████████████▎ | 7011/9000 [6:03:10<2:53:11, 5.22s/it][Dataset] cur_step=7011 phase=D_mixed_covt +[Dataset] cur_step=7011 phase=D_mixed_covt + {'loss': '3.314', 'grad_norm': '63.6', 'learning_rate': '6.385e-06', 'epoch': '0.2522'} + 78%|███████████████████████▎ | 7011/9000 [6:03:10<2:53:11, 5.22s/it] {'lm_loss': '0.8759', 'visual_loss': '1.344', 'seg_loss': '0', 'dino_loss': '0.8458', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0', 'siglip_loss': '0.498', 'epoch': '0.2522'} + 78%|███████████████████████▎ | 7011/9000 [6:03:10<2:53:11, 5.22s/it][Dataset] cur_step=7012 phase=D_mixed_covt +[Dataset] cur_step=7012 phase=D_mixed_covt +[Dataset] cur_step=7012 phase=D_mixed_covt +[Dataset] cur_step=7012 phase=D_mixed_covt +[Dataset] cur_step=7012 phase=D_mixed_covt +[Dataset] cur_step=7012 phase=D_mixed_covt + 78%|███████████████████████▎ | 7012/9000 [6:03:11<2:10:13, 3.93s/it][Dataset] cur_step=7012 phase=D_mixed_covt +[Dataset] cur_step=7012 phase=D_mixed_covt + {'loss': '2.995', 'grad_norm': '10.16', 'learning_rate': '6.378e-06', 'epoch': '0.2523'} + 78%|███████████████████████▎ | 7012/9000 [6:03:11<2:10:13, 3.93s/it] {'lm_loss': '1.245', 'visual_loss': '1.455', 'seg_loss': '0', 'dino_loss': '0.9061', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0', 'siglip_loss': '0.5484', 'epoch': '0.2523'} + 78%|███████████████████████▎ | 7012/9000 [6:03:11<2:10:13, 3.93s/it][Dataset] cur_step=7013 phase=D_mixed_covt +[Dataset] cur_step=7013 phase=D_mixed_covt +[Dataset] cur_step=7013 phase=D_mixed_covt +[Dataset] cur_step=7013 phase=D_mixed_covt + 78%|███████████████████████▍ | 7013/9000 [6:03:12<1:40:30, 3.03s/it][Dataset] cur_step=7013 phase=D_mixed_covt +[Dataset] cur_step=7013 phase=D_mixed_covt +[Dataset] cur_step=7013 phase=D_mixed_covt +[Dataset] cur_step=7013 phase=D_mixed_covt + {'loss': '2.914', 'grad_norm': '5.296', 'learning_rate': '6.372e-06', 'epoch': '0.2523'} + 78%|███████████████████████▍ | 7013/9000 [6:03:12<1:40:30, 3.03s/it] {'lm_loss': '0.4503', 'visual_loss': '3.112', 'seg_loss': '0.7711', 'dino_loss': '0.9032', 'depth_loss': '0.2482', 'vggt_mse_loss': '0.2463', 'vggt_cos_loss': '0.01941', 'pidinet_loss': '0.3013', 'siglip_loss': '0.888', 'epoch': '0.2523'} + 78%|███████████████████████▍ | 7013/9000 [6:03:14<1:40:30, 3.03s/it][Dataset] cur_step=7014 phase=D_mixed_covt +[Dataset] cur_step=7014 phase=D_mixed_covt +[Dataset] cur_step=7014 phase=D_mixed_covt[Dataset] cur_step=7014 phase=D_mixed_covt + +[Dataset] cur_step=7014 phase=D_mixed_covt +[Dataset] cur_step=7014 phase=D_mixed_covt +[Dataset] cur_step=7014 phase=D_mixed_covt +[Dataset] cur_step=7014 phase=D_mixed_covt + 78%|███████████████████████▍ | 7014/9000 [6:03:15<1:37:43, 2.95s/it] {'loss': '3.378', 'grad_norm': '3.14', 'learning_rate': '6.366e-06', 'epoch': '0.2523'} + 78%|███████████████████████▍ | 7014/9000 [6:03:15<1:37:43, 2.95s/it] {'lm_loss': '0.7598', 'visual_loss': '2.067', 'seg_loss': '0.5198', 'dino_loss': '0.8486', 'depth_loss': '0.2276', 'vggt_mse_loss': '0.227', 'vggt_cos_loss': '0.006103', 'pidinet_loss': '0.06758', 'siglip_loss': '0.404', 'epoch': '0.2523'} + 78%|███████████████████████▍ | 7014/9000 [6:03:17<1:37:43, 2.95s/it][Dataset] cur_step=7015 phase=D_mixed_covt[Dataset] cur_step=7015 phase=D_mixed_covt[Dataset] cur_step=7015 phase=D_mixed_covt + + +[Dataset] cur_step=7015 phase=D_mixed_covt +[Dataset] cur_step=7015 phase=D_mixed_covt +[Dataset] cur_step=7015 phase=D_mixed_covt 78%|███████████████████████▍ | 7015/9000 [6:03:18<1:39:02, 2.99s/it][Dataset] cur_step=7015 phase=D_mixed_covt + +[Dataset] cur_step=7015 phase=D_mixed_covt + {'loss': '3.223', 'grad_norm': '5.758', 'learning_rate': '6.36e-06', 'epoch': '0.2524'} + 78%|███████████████████████▍ | 7015/9000 [6:03:18<1:39:02, 2.99s/it] {'lm_loss': '0.8602', 'visual_loss': '2.896', 'seg_loss': '0.8791', 'dino_loss': '0.8856', 'depth_loss': '0.1864', 'vggt_mse_loss': '0.1851', 'vggt_cos_loss': '0.0131', 'pidinet_loss': '0.2195', 'siglip_loss': '0.7255', 'epoch': '0.2524'} + 78%|███████████████████████▍ | 7015/9000 [6:03:21<1:39:02, 2.99s/it][Dataset] cur_step=7016 phase=D_mixed_covt +[Dataset] cur_step=7016 phase=D_mixed_covt +[Dataset] cur_step=7016 phase=D_mixed_covt +[Dataset] cur_step=7016 phase=D_mixed_covt +[Dataset] cur_step=7016 phase=D_mixed_covt +[Dataset] cur_step=7016 phase=D_mixed_covt +[Dataset] cur_step=7016 phase=D_mixed_covt +[Dataset] cur_step=7016 phase=D_mixed_covt 78%|███████████████████████▍ | 7016/9000 [6:03:21<1:45:53, 3.20s/it] + {'loss': '3.215', 'grad_norm': '4.411', 'learning_rate': '6.354e-06', 'epoch': '0.2524'} + 78%|███████████████████████▍ | 7016/9000 [6:03:21<1:45:53, 3.20s/it] {'lm_loss': '0.5653', 'visual_loss': '2.188', 'seg_loss': '0', 'dino_loss': '0.91', 'depth_loss': '0.223', 'vggt_mse_loss': '0.2213', 'vggt_cos_loss': '0.01606', 'pidinet_loss': '0.2542', 'siglip_loss': '0.8009', 'epoch': '0.2524'} + 78%|███████████████████████▍ | 7016/9000 [6:03:22<1:45:53, 3.20s/it][Dataset] cur_step=7017 phase=D_mixed_covt +[Dataset] cur_step=7017 phase=D_mixed_covt +[Dataset] cur_step=7017 phase=D_mixed_covt +[Dataset] cur_step=7017 phase=D_mixed_covt +[Dataset] cur_step=7017 phase=D_mixed_covt[Dataset] cur_step=7017 phase=D_mixed_covt[Dataset] cur_step=7017 phase=D_mixed_covt[Dataset] cur_step=7017 phase=D_mixed_covt + + + + 78%|███████████████████████▍ | 7017/9000 [6:03:23<1:26:44, 2.62s/it] {'loss': '2.767', 'grad_norm': '5.448', 'learning_rate': '6.348e-06', 'epoch': '0.2524'} + 78%|███████████████████████▍ | 7017/9000 [6:03:23<1:26:44, 2.62s/it] {'lm_loss': '0.8158', 'visual_loss': '2.515', 'seg_loss': '0.769', 'dino_loss': '0.9281', 'depth_loss': '0.2011', 'vggt_mse_loss': '0.1999', 'vggt_cos_loss': '0.01235', 'pidinet_loss': '0.2477', 'siglip_loss': '0.369', 'epoch': '0.2524'} + 78%|███████████████████████▍ | 7017/9000 [6:03:25<1:26:44, 2.62s/it][Dataset] cur_step=7018 phase=D_mixed_covt +[Dataset] cur_step=7018 phase=D_mixed_covt +[Dataset] cur_step=7018 phase=D_mixed_covt +[Dataset] cur_step=7018 phase=D_mixed_covt +[Dataset] cur_step=7018 phase=D_mixed_covt +[Dataset] cur_step=7018 phase=D_mixed_covt + 78%|███████████████████████▍ | 7018/9000 [6:03:25<1:26:22, 2.61s/it][Dataset] cur_step=7018 phase=D_mixed_covt +[Dataset] cur_step=7018 phase=D_mixed_covt + {'loss': '3.355', 'grad_norm': '3.8', 'learning_rate': '6.342e-06', 'epoch': '0.2525'} + 78%|███████████████████████▍ | 7018/9000 [6:03:25<1:26:22, 2.61s/it] {'lm_loss': '0.2557', 'visual_loss': '2.665', 'seg_loss': '0.5901', 'dino_loss': '0.8895', 'depth_loss': '0.2279', 'vggt_mse_loss': '0.226', 'vggt_cos_loss': '0.01867', 'pidinet_loss': '0.2492', 'siglip_loss': '0.7085', 'epoch': '0.2525'} + 78%|███████████████████████▍ | 7018/9000 [6:03:28<1:26:22, 2.61s/it][Dataset] cur_step=7019 phase=D_mixed_covt +[Dataset] cur_step=7019 phase=D_mixed_covt +[Dataset] cur_step=7019 phase=D_mixed_covt +[Dataset] cur_step=7019 phase=D_mixed_covt 78%|███████████████████████▍ | 7019/9000 [6:03:28<1:26:41, 2.63s/it][Dataset] cur_step=7019 phase=D_mixed_covt + +[Dataset] cur_step=7019 phase=D_mixed_covt +[Dataset] cur_step=7019 phase=D_mixed_covt +[Dataset] cur_step=7019 phase=D_mixed_covt + {'loss': '3.386', 'grad_norm': '5.116', 'learning_rate': '6.336e-06', 'epoch': '0.2525'} + 78%|███████████████████████▍ | 7019/9000 [6:03:28<1:26:41, 2.63s/it] {'lm_loss': '0.6716', 'visual_loss': '2.57', 'seg_loss': '0.6896', 'dino_loss': '0.8349', 'depth_loss': '0.2866', 'vggt_mse_loss': '0.2846', 'vggt_cos_loss': '0.02008', 'pidinet_loss': '0.272', 'siglip_loss': '0.4868', 'epoch': '0.2525'} + 78%|███████████████████████▍ | 7019/9000 [6:03:30<1:26:41, 2.63s/it][Dataset] cur_step=7020 phase=D_mixed_covt +[Dataset] cur_step=7020 phase=D_mixed_covt +[Dataset] cur_step=7020 phase=D_mixed_covt +[Dataset] cur_step=7020 phase=D_mixed_covt[Dataset] cur_step=7020 phase=D_mixed_covt + +[Dataset] cur_step=7020 phase=D_mixed_covt +[Dataset] cur_step=7020 phase=D_mixed_covt +[Dataset] cur_step=7020 phase=D_mixed_covt 78%|███████████████████████▍ | 7020/9000 [6:03:31<1:35:38, 2.90s/it] + {'loss': '3.229', 'grad_norm': '3.127', 'learning_rate': '6.329e-06', 'epoch': '0.2525'} + 78%|███████████████████████▍ | 7020/9000 [6:03:31<1:35:38, 2.90s/it] {'lm_loss': '1.187', 'visual_loss': '2.718', 'seg_loss': '0.7381', 'dino_loss': '0.9052', 'depth_loss': '0.2019', 'vggt_mse_loss': '0.2008', 'vggt_cos_loss': '0.01187', 'pidinet_loss': '0.2751', 'siglip_loss': '0.5979', 'epoch': '0.2525'} + 78%|███████████████████████▍ | 7020/9000 [6:03:34<1:35:38, 2.90s/it][Dataset] cur_step=7021 phase=D_mixed_covt +[Dataset] cur_step=7021 phase=D_mixed_covt +[Dataset] cur_step=7021 phase=D_mixed_covt +[Dataset] cur_step=7021 phase=D_mixed_covt[Dataset] cur_step=7021 phase=D_mixed_covt + + 78%|███████████████████████▍ | 7021/9000 [6:03:35<1:39:11, 3.01s/it][Dataset] cur_step=7021 phase=D_mixed_covt +[Dataset] cur_step=7021 phase=D_mixed_covt +[Dataset] cur_step=7021 phase=D_mixed_covt + {'loss': '3.23', 'grad_norm': '3.595', 'learning_rate': '6.323e-06', 'epoch': '0.2526'} + 78%|███████████████████████▍ | 7021/9000 [6:03:35<1:39:11, 3.01s/it] {'lm_loss': '0.6913', 'visual_loss': '2.543', 'seg_loss': '0.6039', 'dino_loss': '0.9387', 'depth_loss': '0.1741', 'vggt_mse_loss': '0.1731', 'vggt_cos_loss': '0.01027', 'pidinet_loss': '0.2378', 'siglip_loss': '0.5885', 'epoch': '0.2526'} + 78%|███████████████████████▍ | 7021/9000 [6:03:36<1:39:11, 3.01s/it][Dataset] cur_step=7022 phase=D_mixed_covt +[Dataset] cur_step=7022 phase=D_mixed_covt +[Dataset] cur_step=7022 phase=D_mixed_covt[Dataset] cur_step=7022 phase=D_mixed_covt[Dataset] cur_step=7022 phase=D_mixed_covt + + + 78%|███████████████████████▍ | 7022/9000 [6:03:37<1:28:24, 2.68s/it][Dataset] cur_step=7022 phase=D_mixed_covt +[Dataset] cur_step=7022 phase=D_mixed_covt +[Dataset] cur_step=7022 phase=D_mixed_covt + {'loss': '3.64', 'grad_norm': '4.259', 'learning_rate': '6.317e-06', 'epoch': '0.2526'} + 78%|███████████████████████▍ | 7022/9000 [6:03:37<1:28:24, 2.68s/it] {'lm_loss': '0.3894', 'visual_loss': '2.47', 'seg_loss': '0.6612', 'dino_loss': '0.9198', 'depth_loss': '0.2687', 'vggt_mse_loss': '0.2665', 'vggt_cos_loss': '0.02172', 'pidinet_loss': '0.232', 'siglip_loss': '0.3885', 'epoch': '0.2526'} + 78%|███████████████████████▍ | 7022/9000 [6:03:39<1:28:24, 2.68s/it][Dataset] cur_step=7023 phase=D_mixed_covt +[Dataset] cur_step=7023 phase=D_mixed_covt[Dataset] cur_step=7023 phase=D_mixed_covt + +[Dataset] cur_step=7023 phase=D_mixed_covt +[Dataset] cur_step=7023 phase=D_mixed_covt[Dataset] cur_step=7023 phase=D_mixed_covt + +[Dataset] cur_step=7023 phase=D_mixed_covt +[Dataset] cur_step=7023 phase=D_mixed_covt + 78%|███████████████████████▍ | 7023/9000 [6:03:40<1:31:16, 2.77s/it] {'loss': '3.103', 'grad_norm': '3.848', 'learning_rate': '6.311e-06', 'epoch': '0.2527'} + 78%|███████████████████████▍ | 7023/9000 [6:03:40<1:31:16, 2.77s/it] {'lm_loss': '0.4781', 'visual_loss': '2.729', 'seg_loss': '0.7827', 'dino_loss': '0.923', 'depth_loss': '0.2457', 'vggt_mse_loss': '0.2438', 'vggt_cos_loss': '0.01911', 'pidinet_loss': '0.232', 'siglip_loss': '0.5451', 'epoch': '0.2527'} + 78%|███████████████████████▍ | 7023/9000 [6:03:43<1:31:16, 2.77s/it][Dataset] cur_step=7024 phase=D_mixed_covt +[Dataset] cur_step=7024 phase=D_mixed_covt +[Dataset] cur_step=7024 phase=D_mixed_covt +[Dataset] cur_step=7024 phase=D_mixed_covt +[Dataset] cur_step=7024 phase=D_mixed_covt[Dataset] cur_step=7024 phase=D_mixed_covt + +[Dataset] cur_step=7024 phase=D_mixed_covt + 78%|███████████████████████▍ | 7024/9000 [6:03:43<1:41:14, 3.07s/it][Dataset] cur_step=7024 phase=D_mixed_covt + {'loss': '3.202', 'grad_norm': '13.05', 'learning_rate': '6.305e-06', 'epoch': '0.2527'} + 78%|███████████████████████▍ | 7024/9000 [6:03:43<1:41:14, 3.07s/it] {'lm_loss': '1.648', 'visual_loss': '1.448', 'seg_loss': '0', 'dino_loss': '0.9224', 'depth_loss': '0.3033', 'vggt_mse_loss': '0.3011', 'vggt_cos_loss': '0.02236', 'pidinet_loss': '0.2223', 'siglip_loss': '0', 'epoch': '0.2527'} + 78%|███████████████████████▍ | 7024/9000 [6:03:44<1:41:14, 3.07s/it][Dataset] cur_step=7025 phase=D_mixed_covt +[Dataset] cur_step=7025 phase=D_mixed_covt +[Dataset] cur_step=7025 phase=D_mixed_covt +[Dataset] cur_step=7025 phase=D_mixed_covt +[Dataset] cur_step=7025 phase=D_mixed_covt +[Dataset] cur_step=7025 phase=D_mixed_covt[Dataset] cur_step=7025 phase=D_mixed_covt + 78%|███████████████████████▍ | 7025/9000 [6:03:45<1:22:42, 2.51s/it][Dataset] cur_step=7025 phase=D_mixed_covt + + {'loss': '2.41', 'grad_norm': '4.993', 'learning_rate': '6.299e-06', 'epoch': '0.2527'} + 78%|███████████████████████▍ | 7025/9000 [6:03:45<1:22:42, 2.51s/it] {'lm_loss': '0.8814', 'visual_loss': '3.141', 'seg_loss': '0.8396', 'dino_loss': '0.8976', 'depth_loss': '0.3411', 'vggt_mse_loss': '0.3389', 'vggt_cos_loss': '0.02123', 'pidinet_loss': '0.2444', 'siglip_loss': '0.8182', 'epoch': '0.2527'} + 78%|███████████████████████▍ | 7025/9000 [6:03:47<1:22:42, 2.51s/it][Dataset] cur_step=7026 phase=D_mixed_covt +[Dataset] cur_step=7026 phase=D_mixed_covt +[Dataset] cur_step=7026 phase=D_mixed_covt +[Dataset] cur_step=7026 phase=D_mixed_covt[Dataset] cur_step=7026 phase=D_mixed_covt + + 78%|███████████████████████▍ | 7026/9000 [6:03:50<1:46:28, 3.24s/it][Dataset] cur_step=7026 phase=D_mixed_covt +[Dataset] cur_step=7026 phase=D_mixed_covt +[Dataset] cur_step=7026 phase=D_mixed_covt + {'loss': '3.317', 'grad_norm': '4.786', 'learning_rate': '6.293e-06', 'epoch': '0.2528'} + 78%|███████████████████████▍ | 7026/9000 [6:03:50<1:46:28, 3.24s/it] {'lm_loss': '1.031', 'visual_loss': '2.457', 'seg_loss': '0.6721', 'dino_loss': '0.8867', 'depth_loss': '0.1643', 'vggt_mse_loss': '0.1629', 'vggt_cos_loss': '0.01367', 'pidinet_loss': '0.2138', 'siglip_loss': '0.5198', 'epoch': '0.2528'} + 78%|███████████████████████▍ | 7026/9000 [6:03:54<1:46:28, 3.24s/it][Dataset] cur_step=7027 phase=D_mixed_covt +[Dataset] cur_step=7027 phase=D_mixed_covt +[Dataset] cur_step=7027 phase=D_mixed_covt +[Dataset] cur_step=7027 phase=D_mixed_covt +[Dataset] cur_step=7027 phase=D_mixed_covt +[Dataset] cur_step=7027 phase=D_mixed_covt + 78%|███████████████████████▍ | 7027/9000 [6:03:54<2:02:36, 3.73s/it][Dataset] cur_step=7027 phase=D_mixed_covt +[Dataset] cur_step=7027 phase=D_mixed_covt + {'loss': '3.113', 'grad_norm': '3.313', 'learning_rate': '6.287e-06', 'epoch': '0.2528'} + 78%|███████████████████████▍ | 7027/9000 [6:03:54<2:02:36, 3.73s/it] {'lm_loss': '0.8771', 'visual_loss': '1.317', 'seg_loss': '0', 'dino_loss': '0', 'depth_loss': '0.4067', 'vggt_mse_loss': '0.4027', 'vggt_cos_loss': '0.04014', 'pidinet_loss': '0.2819', 'siglip_loss': '0.6286', 'epoch': '0.2528'} + 78%|███████████████████████▍ | 7027/9000 [6:03:55<2:02:36, 3.73s/it][Dataset] cur_step=7028 phase=D_mixed_covt[Dataset] cur_step=7028 phase=D_mixed_covt + +[Dataset] cur_step=7028 phase=D_mixed_covt +[Dataset] cur_step=7028 phase=D_mixed_covt +[Dataset] cur_step=7028 phase=D_mixed_covt +[Dataset] cur_step=7028 phase=D_mixed_covt +[Dataset] cur_step=7028 phase=D_mixed_covt +[Dataset] cur_step=7028 phase=D_mixed_covt + 78%|███████████████████████▍ | 7028/9000 [6:03:56<1:43:30, 3.15s/it] {'loss': '2.095', 'grad_norm': '4.828', 'learning_rate': '6.281e-06', 'epoch': '0.2528'} + 78%|███████████████████████▍ | 7028/9000 [6:03:56<1:43:30, 3.15s/it] {'lm_loss': '0.6216', 'visual_loss': '2.88', 'seg_loss': '0.8339', 'dino_loss': '0.9284', 'depth_loss': '0.2065', 'vggt_mse_loss': '0.205', 'vggt_cos_loss': '0.01505', 'pidinet_loss': '0.2223', 'siglip_loss': '0.6892', 'epoch': '0.2528'} + 78%|███████████████████████▍ | 7028/9000 [6:03:57<1:43:30, 3.15s/it][Dataset] cur_step=7029 phase=D_mixed_covt +[Dataset] cur_step=7029 phase=D_mixed_covt +[Dataset] cur_step=7029 phase=D_mixed_covt +[Dataset] cur_step=7029 phase=D_mixed_covt +[Dataset] cur_step=7029 phase=D_mixed_covt +[Dataset] cur_step=7029 phase=D_mixed_covt +[Dataset] cur_step=7029 phase=D_mixed_covt +[Dataset] cur_step=7029 phase=D_mixed_covt + 78%|███████████████████████▍ | 7029/9000 [6:04:00<1:54:29, 3.49s/it] {'loss': '3.387', 'grad_norm': '6.636', 'learning_rate': '6.275e-06', 'epoch': '0.2529'} + 78%|███████████████████████▍ | 7029/9000 [6:04:00<1:54:29, 3.49s/it] {'lm_loss': '0.3883', 'visual_loss': '2.681', 'seg_loss': '0.7355', 'dino_loss': '0.9411', 'depth_loss': '0.2697', 'vggt_mse_loss': '0.2678', 'vggt_cos_loss': '0.01943', 'pidinet_loss': '0.2026', 'siglip_loss': '0.5319', 'epoch': '0.2529'} + 78%|███████████████████████▍ | 7029/9000 [6:04:03<1:54:29, 3.49s/it][Dataset] cur_step=7030 phase=D_mixed_covt +[Dataset] cur_step=7030 phase=D_mixed_covt +[Dataset] cur_step=7030 phase=D_mixed_covt[Dataset] cur_step=7030 phase=D_mixed_covt + +[Dataset] cur_step=7030 phase=D_mixed_covt[Dataset] cur_step=7030 phase=D_mixed_covt + + 78%|███████████████████████▍ | 7030/9000 [6:04:04<1:54:44, 3.49s/it][Dataset] cur_step=7030 phase=D_mixed_covt[Dataset] cur_step=7030 phase=D_mixed_covt + + {'loss': '3.273', 'grad_norm': '3.764', 'learning_rate': '6.269e-06', 'epoch': '0.2529'} + 78%|███████████████████████▍ | 7030/9000 [6:04:04<1:54:44, 3.49s/it] {'lm_loss': '0.5372', 'visual_loss': '2.488', 'seg_loss': '0.6467', 'dino_loss': '0.9103', 'depth_loss': '0.2278', 'vggt_mse_loss': '0.2259', 'vggt_cos_loss': '0.01939', 'pidinet_loss': '0.1218', 'siglip_loss': '0.5812', 'epoch': '0.2529'} + 78%|███████████████████████▍ | 7030/9000 [6:04:06<1:54:44, 3.49s/it][Dataset] cur_step=7031 phase=D_mixed_covt[Dataset] cur_step=7031 phase=D_mixed_covt + +[Dataset] cur_step=7031 phase=D_mixed_covt +[Dataset] cur_step=7031 phase=D_mixed_covt +[Dataset] cur_step=7031 phase=D_mixed_covt +[Dataset] cur_step=7031 phase=D_mixed_covt +[Dataset] cur_step=7031 phase=D_mixed_covt[Dataset] cur_step=7031 phase=D_mixed_covt + + 78%|███████████████████████▍ | 7031/9000 [6:04:07<1:46:06, 3.23s/it] {'loss': '3.335', 'grad_norm': '30.58', 'learning_rate': '6.262e-06', 'epoch': '0.2529'} + 78%|███████████████████████▍ | 7031/9000 [6:04:07<1:46:06, 3.23s/it] {'lm_loss': '0.6364', 'visual_loss': '1.764', 'seg_loss': '0.6983', 'dino_loss': '0.94', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.1261', 'siglip_loss': '0', 'epoch': '0.2529'} + 78%|███████████████████████▍ | 7031/9000 [6:04:08<1:46:06, 3.23s/it][Dataset] cur_step=7032 phase=D_mixed_covt +[Dataset] cur_step=7032 phase=D_mixed_covt +[Dataset] cur_step=7032 phase=D_mixed_covt[Dataset] cur_step=7032 phase=D_mixed_covt +[Dataset] cur_step=7032 phase=D_mixed_covt + +[Dataset] cur_step=7032 phase=D_mixed_covt + 78%|███████████████████████▍ | 7032/9000 [6:04:09<1:36:44, 2.95s/it][Dataset] cur_step=7032 phase=D_mixed_covt +[Dataset] cur_step=7032 phase=D_mixed_covt + {'loss': '2.501', 'grad_norm': '6.385', 'learning_rate': '6.256e-06', 'epoch': '0.253'} + 78%|███████████████████████▍ | 7032/9000 [6:04:09<1:36:44, 2.95s/it] {'lm_loss': '0.4649', 'visual_loss': '2.73', 'seg_loss': '0.7751', 'dino_loss': '0.9152', 'depth_loss': '0.2078', 'vggt_mse_loss': '0.2065', 'vggt_cos_loss': '0.01358', 'pidinet_loss': '0.2858', 'siglip_loss': '0.5466', 'epoch': '0.253'} + 78%|███████████████████████▍ | 7032/9000 [6:04:10<1:36:44, 2.95s/it][Dataset] cur_step=7033 phase=D_mixed_covt +[Dataset] cur_step=7033 phase=D_mixed_covt +[Dataset] cur_step=7033 phase=D_mixed_covt[Dataset] cur_step=7033 phase=D_mixed_covt[Dataset] cur_step=7033 phase=D_mixed_covt[Dataset] cur_step=7033 phase=D_mixed_covt + + + + 78%|███████████████████████▍ | 7033/9000 [6:04:11<1:26:15, 2.63s/it][Dataset] cur_step=7033 phase=D_mixed_covt +[Dataset] cur_step=7033 phase=D_mixed_covt + {'loss': '3.405', 'grad_norm': '6.283', 'learning_rate': '6.25e-06', 'epoch': '0.253'} + 78%|███████████████████████▍ | 7033/9000 [6:04:11<1:26:15, 2.63s/it] {'lm_loss': '0.6518', 'visual_loss': '2.994', 'seg_loss': '0.8389', 'dino_loss': '0.9256', 'depth_loss': '0.3516', 'vggt_mse_loss': '0.3497', 'vggt_cos_loss': '0.01943', 'pidinet_loss': '0.2122', 'siglip_loss': '0.6658', 'epoch': '0.253'} + 78%|███████████████████████▍ | 7033/9000 [6:04:13<1:26:15, 2.63s/it][Dataset] cur_step=7034 phase=D_mixed_covt +[Dataset] cur_step=7034 phase=D_mixed_covt +[Dataset] cur_step=7034 phase=D_mixed_covt +[Dataset] cur_step=7034 phase=D_mixed_covt +[Dataset] cur_step=7034 phase=D_mixed_covt +[Dataset] cur_step=7034 phase=D_mixed_covt + 78%|███████████████████████▍ | 7034/9000 [6:04:14<1:30:00, 2.75s/it][Dataset] cur_step=7034 phase=D_mixed_covt[Dataset] cur_step=7034 phase=D_mixed_covt + + {'loss': '3.324', 'grad_norm': '3.337', 'learning_rate': '6.244e-06', 'epoch': '0.253'} + 78%|███████████████████████▍ | 7034/9000 [6:04:14<1:30:00, 2.75s/it] {'lm_loss': '0.6705', 'visual_loss': '2.72', 'seg_loss': '0.5932', 'dino_loss': '0.9127', 'depth_loss': '0.2385', 'vggt_mse_loss': '0.237', 'vggt_cos_loss': '0.01572', 'pidinet_loss': '0.2494', 'siglip_loss': '0.7263', 'epoch': '0.253'} + 78%|███████████████████████▍ | 7034/9000 [6:04:17<1:30:00, 2.75s/it][Dataset] cur_step=7035 phase=D_mixed_covt +[Dataset] cur_step=7035 phase=D_mixed_covt +[Dataset] cur_step=7035 phase=D_mixed_covt +[Dataset] cur_step=7035 phase=D_mixed_covt[Dataset] cur_step=7035 phase=D_mixed_covt[Dataset] cur_step=7035 phase=D_mixed_covt + + + 78%|███████████████████████▍ | 7035/9000 [6:04:17<1:34:52, 2.90s/it][Dataset] cur_step=7035 phase=D_mixed_covt +[Dataset] cur_step=7035 phase=D_mixed_covt + {'loss': '3.411', 'grad_norm': '3.221', 'learning_rate': '6.238e-06', 'epoch': '0.2531'} + 78%|███████████████████████▍ | 7035/9000 [6:04:17<1:34:52, 2.90s/it] {'lm_loss': '0.5383', 'visual_loss': '2.824', 'seg_loss': '0.6782', 'dino_loss': '0.9324', 'depth_loss': '0.3103', 'vggt_mse_loss': '0.3076', 'vggt_cos_loss': '0.02708', 'pidinet_loss': '0.2301', 'siglip_loss': '0.6733', 'epoch': '0.2531'} + 78%|███████████████████████▍ | 7035/9000 [6:04:20<1:34:52, 2.90s/it][Dataset] cur_step=7036 phase=D_mixed_covt +[Dataset] cur_step=7036 phase=D_mixed_covt +[Dataset] cur_step=7036 phase=D_mixed_covt[Dataset] cur_step=7036 phase=D_mixed_covt[Dataset] cur_step=7036 phase=D_mixed_covt + + +[Dataset] cur_step=7036 phase=D_mixed_covt + 78%|███████████████████████▍ | 7036/9000 [6:04:21<1:41:21, 3.10s/it][Dataset] cur_step=7036 phase=D_mixed_covt +[Dataset] cur_step=7036 phase=D_mixed_covt + {'loss': '3.318', 'grad_norm': '3.706', 'learning_rate': '6.232e-06', 'epoch': '0.2531'} + 78%|███████████████████████▍ | 7036/9000 [6:04:21<1:41:21, 3.10s/it] {'lm_loss': '0.2392', 'visual_loss': '2.544', 'seg_loss': '0.6516', 'dino_loss': '0.9405', 'depth_loss': '0.1427', 'vggt_mse_loss': '0.1418', 'vggt_cos_loss': '0.00886', 'pidinet_loss': '0.2925', 'siglip_loss': '0.5172', 'epoch': '0.2531'} + 78%|███████████████████████▍ | 7036/9000 [6:04:23<1:41:21, 3.10s/it][Dataset] cur_step=7037 phase=D_mixed_covt +[Dataset] cur_step=7037 phase=D_mixed_covt +[Dataset] cur_step=7037 phase=D_mixed_covt +[Dataset] cur_step=7037 phase=D_mixed_covt +[Dataset] cur_step=7037 phase=D_mixed_covt +[Dataset] cur_step=7037 phase=D_mixed_covt 78%|███████████████████████▍ | 7037/9000 [6:04:23<1:36:54, 2.96s/it][Dataset] cur_step=7037 phase=D_mixed_covt + +[Dataset] cur_step=7037 phase=D_mixed_covt + {'loss': '3.567', 'grad_norm': '5.636', 'learning_rate': '6.226e-06', 'epoch': '0.2532'} + 78%|███████████████████████▍ | 7037/9000 [6:04:23<1:36:54, 2.96s/it] {'lm_loss': '0.9458', 'visual_loss': '2.051', 'seg_loss': '0.6282', 'dino_loss': '0.9141', 'depth_loss': '0.2201', 'vggt_mse_loss': '0.2185', 'vggt_cos_loss': '0.01614', 'pidinet_loss': '0.2887', 'siglip_loss': '0', 'epoch': '0.2532'} + 78%|███████████████████████▍ | 7037/9000 [6:04:25<1:36:54, 2.96s/it][Dataset] cur_step=7038 phase=D_mixed_covt[Dataset] cur_step=7038 phase=D_mixed_covt + +[Dataset] cur_step=7038 phase=D_mixed_covt +[Dataset] cur_step=7038 phase=D_mixed_covt +[Dataset] cur_step=7038 phase=D_mixed_covt +[Dataset] cur_step=7038 phase=D_mixed_covt +[Dataset] cur_step=7038 phase=D_mixed_covt[Dataset] cur_step=7038 phase=D_mixed_covt + + 78%|███████████████████████▍ | 7038/9000 [6:04:26<1:34:16, 2.88s/it] {'loss': '2.895', 'grad_norm': '8.096', 'learning_rate': '6.22e-06', 'epoch': '0.2532'} + 78%|███████████████████████▍ | 7038/9000 [6:04:26<1:34:16, 2.88s/it] {'lm_loss': '0.7944', 'visual_loss': '2.905', 'seg_loss': '0.7923', 'dino_loss': '0.9228', 'depth_loss': '0.284', 'vggt_mse_loss': '0.2821', 'vggt_cos_loss': '0.01929', 'pidinet_loss': '0.2201', 'siglip_loss': '0.6854', 'epoch': '0.2532'} + 78%|███████████████████████▍ | 7038/9000 [6:04:28<1:34:16, 2.88s/it][Dataset] cur_step=7039 phase=D_mixed_covt +[Dataset] cur_step=7039 phase=D_mixed_covt +[Dataset] cur_step=7039 phase=D_mixed_covt +[Dataset] cur_step=7039 phase=D_mixed_covt +[Dataset] cur_step=7039 phase=D_mixed_covt +[Dataset] cur_step=7039 phase=D_mixed_covt +[Dataset] cur_step=7039 phase=D_mixed_covt[Dataset] cur_step=7039 phase=D_mixed_covt + + 78%|███████████████████████▍ | 7039/9000 [6:04:29<1:39:51, 3.06s/it] {'loss': '3.332', 'grad_norm': '3.936', 'learning_rate': '6.214e-06', 'epoch': '0.2532'} + 78%|███████████████████████▍ | 7039/9000 [6:04:29<1:39:51, 3.06s/it] {'lm_loss': '0.09779', 'visual_loss': '2.827', 'seg_loss': '0.7096', 'dino_loss': '0.8997', 'depth_loss': '0.2056', 'vggt_mse_loss': '0.2039', 'vggt_cos_loss': '0.01676', 'pidinet_loss': '0.1857', 'siglip_loss': '0.8261', 'epoch': '0.2532'} + 78%|███████████████████████▍ | 7039/9000 [6:04:32<1:39:51, 3.06s/it][Dataset] cur_step=7040 phase=D_mixed_covt +[Dataset] cur_step=7040 phase=D_mixed_covt +[Dataset] cur_step=7040 phase=D_mixed_covt[Dataset] cur_step=7040 phase=D_mixed_covt + +[Dataset] cur_step=7040 phase=D_mixed_covt[Dataset] cur_step=7040 phase=D_mixed_covt[Dataset] cur_step=7040 phase=D_mixed_covt + + +[Dataset] cur_step=7040 phase=D_mixed_covt + 78%|███████████████████████▍ | 7040/9000 [6:04:33<1:43:32, 3.17s/it] {'loss': '3.055', 'grad_norm': '2.989', 'learning_rate': '6.208e-06', 'epoch': '0.2533'} + 78%|███████████████████████▍ | 7040/9000 [6:04:33<1:43:32, 3.17s/it] {'lm_loss': '0.425', 'visual_loss': '2.732', 'seg_loss': '0.576', 'dino_loss': '0.9097', 'depth_loss': '0.2559', 'vggt_mse_loss': '0.254', 'vggt_cos_loss': '0.01956', 'pidinet_loss': '0.2896', 'siglip_loss': '0.7012', 'epoch': '0.2533'} + 78%|███████████████████████▍ | 7040/9000 [6:04:35<1:43:32, 3.17s/it][Dataset] cur_step=7041 phase=D_mixed_covt[Dataset] cur_step=7041 phase=D_mixed_covt[Dataset] cur_step=7041 phase=D_mixed_covt + +[Dataset] cur_step=7041 phase=D_mixed_covt + + 78%|███████████████████████▍ | 7041/9000 [6:04:35<1:38:20, 3.01s/it][Dataset] cur_step=7041 phase=D_mixed_covt +[Dataset] cur_step=7041 phase=D_mixed_covt +[Dataset] cur_step=7041 phase=D_mixed_covt +[Dataset] cur_step=7041 phase=D_mixed_covt + {'loss': '3.215', 'grad_norm': '4.445', 'learning_rate': '6.202e-06', 'epoch': '0.2533'} + 78%|███████████████████████▍ | 7041/9000 [6:04:35<1:38:20, 3.01s/it] {'lm_loss': '1.085', 'visual_loss': '2.674', 'seg_loss': '0.7238', 'dino_loss': '0.8987', 'depth_loss': '0.2286', 'vggt_mse_loss': '0.2269', 'vggt_cos_loss': '0.01756', 'pidinet_loss': '0.317', 'siglip_loss': '0.5055', 'epoch': '0.2533'} + 78%|███████████████████████▍ | 7041/9000 [6:04:37<1:38:20, 3.01s/it][Dataset] cur_step=7042 phase=D_mixed_covt[Dataset] cur_step=7042 phase=D_mixed_covt + +[Dataset] cur_step=7042 phase=D_mixed_covt[Dataset] cur_step=7042 phase=D_mixed_covt[Dataset] cur_step=7042 phase=D_mixed_covt + + + 78%|███████████████████████▍ | 7042/9000 [6:04:37<1:28:31, 2.71s/it][Dataset] cur_step=7042 phase=D_mixed_covt +[Dataset] cur_step=7042 phase=D_mixed_covt +[Dataset] cur_step=7042 phase=D_mixed_covt + {'loss': '3.569', 'grad_norm': '5.061', 'learning_rate': '6.196e-06', 'epoch': '0.2533'} + 78%|███████████████████████▍ | 7042/9000 [6:04:37<1:28:31, 2.71s/it] {'lm_loss': '0.6307', 'visual_loss': '2.754', 'seg_loss': '0.6613', 'dino_loss': '0.9191', 'depth_loss': '0.2305', 'vggt_mse_loss': '0.2288', 'vggt_cos_loss': '0.01702', 'pidinet_loss': '0.2834', 'siglip_loss': '0.66', 'epoch': '0.2533'} + 78%|███████████████████████▍ | 7042/9000 [6:04:39<1:28:31, 2.71s/it][Dataset] cur_step=7043 phase=D_mixed_covt[Dataset] cur_step=7043 phase=D_mixed_covt + +[Dataset] cur_step=7043 phase=D_mixed_covt +[Dataset] cur_step=7043 phase=D_mixed_covt +[Dataset] cur_step=7043 phase=D_mixed_covt +[Dataset] cur_step=7043 phase=D_mixed_covt 78%|███████████████████████▍ | 7043/9000 [6:04:39<1:19:41, 2.44s/it][Dataset] cur_step=7043 phase=D_mixed_covt + +[Dataset] cur_step=7043 phase=D_mixed_covt + {'loss': '3.259', 'grad_norm': '5.72', 'learning_rate': '6.19e-06', 'epoch': '0.2534'} + 78%|███████████████████████▍ | 7043/9000 [6:04:39<1:19:41, 2.44s/it] {'lm_loss': '0.6506', 'visual_loss': '2.909', 'seg_loss': '0.6831', 'dino_loss': '0.9203', 'depth_loss': '0.2443', 'vggt_mse_loss': '0.2428', 'vggt_cos_loss': '0.01546', 'pidinet_loss': '0.2164', 'siglip_loss': '0.8448', 'epoch': '0.2534'} + 78%|███████████████████████▍ | 7043/9000 [6:04:42<1:19:41, 2.44s/it][Dataset] cur_step=7044 phase=D_mixed_covt +[Dataset] cur_step=7044 phase=D_mixed_covt +[Dataset] cur_step=7044 phase=D_mixed_covt +[Dataset] cur_step=7044 phase=D_mixed_covt +[Dataset] cur_step=7044 phase=D_mixed_covt[Dataset] cur_step=7044 phase=D_mixed_covt + +[Dataset] cur_step=7044 phase=D_mixed_covt +[Dataset] cur_step=7044 phase=D_mixed_covt 78%|███████████████████████▍ | 7044/9000 [6:04:42<1:26:42, 2.66s/it] + {'loss': '3.208', 'grad_norm': '5.422', 'learning_rate': '6.184e-06', 'epoch': '0.2534'} + 78%|███████████████████████▍ | 7044/9000 [6:04:42<1:26:42, 2.66s/it] {'lm_loss': '0.8485', 'visual_loss': '2.588', 'seg_loss': '0.5547', 'dino_loss': '0.8926', 'depth_loss': '0.2475', 'vggt_mse_loss': '0.2458', 'vggt_cos_loss': '0.0176', 'pidinet_loss': '0.2665', 'siglip_loss': '0.6265', 'epoch': '0.2534'} + 78%|███████████████████████▍ | 7044/9000 [6:04:46<1:26:42, 2.66s/it][Dataset] cur_step=7045 phase=D_mixed_covt +[Dataset] cur_step=7045 phase=D_mixed_covt +[Dataset] cur_step=7045 phase=D_mixed_covt +[Dataset] cur_step=7045 phase=D_mixed_covt[Dataset] cur_step=7045 phase=D_mixed_covt + +[Dataset] cur_step=7045 phase=D_mixed_covt +[Dataset] cur_step=7045 phase=D_mixed_covt + 78%|███████████████████████▍ | 7045/9000 [6:04:48<1:57:16, 3.60s/it][Dataset] cur_step=7045 phase=D_mixed_covt + {'loss': '3.521', 'grad_norm': '136.1', 'learning_rate': '6.178e-06', 'epoch': '0.2534'} + 78%|███████████████████████▍ | 7045/9000 [6:04:48<1:57:16, 3.60s/it] {'lm_loss': '0.6836', 'visual_loss': '2.812', 'seg_loss': '0.7867', 'dino_loss': '0.8954', 'depth_loss': '0.2194', 'vggt_mse_loss': '0.2182', 'vggt_cos_loss': '0.01145', 'pidinet_loss': '0.2176', 'siglip_loss': '0.6932', 'epoch': '0.2534'} + 78%|███████████████████████▍ | 7045/9000 [6:04:51<1:57:16, 3.60s/it][Dataset] cur_step=7046 phase=D_mixed_covt +[Dataset] cur_step=7046 phase=D_mixed_covt +[Dataset] cur_step=7046 phase=D_mixed_covt +[Dataset] cur_step=7046 phase=D_mixed_covt +[Dataset] cur_step=7046 phase=D_mixed_covt +[Dataset] cur_step=7046 phase=D_mixed_covt 78%|███████████████████████▍ | 7046/9000 [6:04:52<1:53:49, 3.50s/it] +[Dataset] cur_step=7046 phase=D_mixed_covt +[Dataset] cur_step=7046 phase=D_mixed_covt + {'loss': '3.488', 'grad_norm': '12.88', 'learning_rate': '6.171e-06', 'epoch': '0.2535'} + 78%|███████████████████████▍ | 7046/9000 [6:04:52<1:53:49, 3.50s/it] {'lm_loss': '1.455', 'visual_loss': '2.86', 'seg_loss': '0.7231', 'dino_loss': '0.9264', 'depth_loss': '0.348', 'vggt_mse_loss': '0.3461', 'vggt_cos_loss': '0.01887', 'pidinet_loss': '0.2832', 'siglip_loss': '0.5788', 'epoch': '0.2535'} + 78%|███████████████████████▍ | 7046/9000 [6:04:54<1:53:49, 3.50s/it][Dataset] cur_step=7047 phase=D_mixed_covt +[Dataset] cur_step=7047 phase=D_mixed_covt +[Dataset] cur_step=7047 phase=D_mixed_covt +[Dataset] cur_step=7047 phase=D_mixed_covt +[Dataset] cur_step=7047 phase=D_mixed_covt[Dataset] cur_step=7047 phase=D_mixed_covt + + 78%|███████████████████████▍ | 7047/9000 [6:04:55<1:50:53, 3.41s/it][Dataset] cur_step=7047 phase=D_mixed_covt +[Dataset] cur_step=7047 phase=D_mixed_covt + {'loss': '3.359', 'grad_norm': '24.57', 'learning_rate': '6.165e-06', 'epoch': '0.2535'} + 78%|███████████████████████▍ | 7047/9000 [6:04:55<1:50:53, 3.41s/it] {'lm_loss': '1.03', 'visual_loss': '2.051', 'seg_loss': '0.7451', 'dino_loss': '0.9135', 'depth_loss': '0.1821', 'vggt_mse_loss': '0.181', 'vggt_cos_loss': '0.01135', 'pidinet_loss': '0.2102', 'siglip_loss': '0', 'epoch': '0.2535'} + 78%|███████████████████████▍ | 7047/9000 [6:04:58<1:50:53, 3.41s/it][Dataset] cur_step=7048 phase=D_mixed_covt[Dataset] cur_step=7048 phase=D_mixed_covt + +[Dataset] cur_step=7048 phase=D_mixed_covt[Dataset] cur_step=7048 phase=D_mixed_covt + + 78%|███████████████████████▍ | 7048/9000 [6:04:58<1:51:47, 3.44s/it][Dataset] cur_step=7048 phase=D_mixed_covt +[Dataset] cur_step=7048 phase=D_mixed_covt +[Dataset] cur_step=7048 phase=D_mixed_covt +[Dataset] cur_step=7048 phase=D_mixed_covt + {'loss': '2.66', 'grad_norm': '3.848', 'learning_rate': '6.159e-06', 'epoch': '0.2536'} + 78%|███████████████████████▍ | 7048/9000 [6:04:58<1:51:47, 3.44s/it] {'lm_loss': '0.4729', 'visual_loss': '2.617', 'seg_loss': '0.5514', 'dino_loss': '0.913', 'depth_loss': '0.1251', 'vggt_mse_loss': '0.1239', 'vggt_cos_loss': '0.01181', 'pidinet_loss': '0.3364', 'siglip_loss': '0.691', 'epoch': '0.2536'} + 78%|███████████████████████▍ | 7048/9000 [6:05:00<1:51:47, 3.44s/it][Dataset] cur_step=7049 phase=D_mixed_covt +[Dataset] cur_step=7049 phase=D_mixed_covt +[Dataset] cur_step=7049 phase=D_mixed_covt +[Dataset] cur_step=7049 phase=D_mixed_covt[Dataset] cur_step=7049 phase=D_mixed_covt + +[Dataset] cur_step=7049 phase=D_mixed_covt +[Dataset] cur_step=7049 phase=D_mixed_covt +[Dataset] cur_step=7049 phase=D_mixed_covt + 78%|███████████████████████▍ | 7049/9000 [6:05:01<1:43:59, 3.20s/it] {'loss': '3.276', 'grad_norm': '3.544', 'learning_rate': '6.153e-06', 'epoch': '0.2536'} + 78%|███████████████████████▍ | 7049/9000 [6:05:01<1:43:59, 3.20s/it] {'lm_loss': '0.2186', 'visual_loss': '2.115', 'seg_loss': '0.8769', 'dino_loss': '0.8715', 'depth_loss': '0.19', 'vggt_mse_loss': '0.189', 'vggt_cos_loss': '0.0103', 'pidinet_loss': '0', 'siglip_loss': '0.1768', 'epoch': '0.2536'} + 78%|███████████████████████▍ | 7049/9000 [6:05:02<1:43:59, 3.20s/it][Dataset] cur_step=7050 phase=D_mixed_covt +[Dataset] cur_step=7050 phase=D_mixed_covt +[Dataset] cur_step=7050 phase=D_mixed_covt +[Dataset] cur_step=7050 phase=D_mixed_covt +[Dataset] cur_step=7050 phase=D_mixed_covt +[Dataset] cur_step=7050 phase=D_mixed_covt[Dataset] cur_step=7050 phase=D_mixed_covt + + 78%|███████████████████████▌ | 7050/9000 [6:05:03<1:31:53, 2.83s/it][Dataset] cur_step=7050 phase=D_mixed_covt + {'loss': '3.096', 'grad_norm': '6.842', 'learning_rate': '6.147e-06', 'epoch': '0.2536'} + 78%|███████████████████████▌ | 7050/9000 [6:05:03<1:31:53, 2.83s/it] {'lm_loss': '0.5984', 'visual_loss': '1.931', 'seg_loss': '0.8058', 'dino_loss': '0', 'depth_loss': '0.1469', 'vggt_mse_loss': '0.1459', 'vggt_cos_loss': '0.009998', 'pidinet_loss': '0.3203', 'siglip_loss': '0.658', 'epoch': '0.2536'} + 78%|███████████████████████▌ | 7050/9000 [6:05:05<1:31:53, 2.83s/it][Dataset] cur_step=7051 phase=D_mixed_covt +[Dataset] cur_step=7051 phase=D_mixed_covt[Dataset] cur_step=7051 phase=D_mixed_covt + +[Dataset] cur_step=7051 phase=D_mixed_covt +[Dataset] cur_step=7051 phase=D_mixed_covt +[Dataset] cur_step=7051 phase=D_mixed_covt +[Dataset] cur_step=7051 phase=D_mixed_covt + 78%|███████████████████████▌ | 7051/9000 [6:05:05<1:28:50, 2.73s/it][Dataset] cur_step=7051 phase=D_mixed_covt + {'loss': '2.308', 'grad_norm': '4.296', 'learning_rate': '6.141e-06', 'epoch': '0.2537'} + 78%|███████████████████████▌ | 7051/9000 [6:05:05<1:28:50, 2.73s/it] {'lm_loss': '0.6213', 'visual_loss': '2.969', 'seg_loss': '0.7379', 'dino_loss': '0.9516', 'depth_loss': '0.3445', 'vggt_mse_loss': '0.3418', 'vggt_cos_loss': '0.0269', 'pidinet_loss': '0.2457', 'siglip_loss': '0.6889', 'epoch': '0.2537'} + 78%|███████████████████████▌ | 7051/9000 [6:05:11<1:28:50, 2.73s/it][Dataset] cur_step=7052 phase=D_mixed_covt + 78%|███████████████████████▌ | 7052/9000 [6:05:11<1:57:32, 3.62s/it][Dataset] cur_step=7052 phase=D_mixed_covt +[Dataset] cur_step=7052 phase=D_mixed_covt +[Dataset] cur_step=7052 phase=D_mixed_covt +[Dataset] cur_step=7052 phase=D_mixed_covt +[Dataset] cur_step=7052 phase=D_mixed_covt +[Dataset] cur_step=7052 phase=D_mixed_covt[Dataset] cur_step=7052 phase=D_mixed_covt + + {'loss': '3.292', 'grad_norm': '3.507', 'learning_rate': '6.135e-06', 'epoch': '0.2537'} + 78%|███████████████████████▌ | 7052/9000 [6:05:11<1:57:32, 3.62s/it] {'lm_loss': '0.5175', 'visual_loss': '2.962', 'seg_loss': '0.5925', 'dino_loss': '0.9449', 'depth_loss': '0.2739', 'vggt_mse_loss': '0.272', 'vggt_cos_loss': '0.01855', 'pidinet_loss': '0.2214', 'siglip_loss': '0.9292', 'epoch': '0.2537'} + 78%|███████████████████████▌ | 7052/9000 [6:05:12<1:57:32, 3.62s/it][Dataset] cur_step=7053 phase=D_mixed_covt +[Dataset] cur_step=7053 phase=D_mixed_covt +[Dataset] cur_step=7053 phase=D_mixed_covt[Dataset] cur_step=7053 phase=D_mixed_covt + +[Dataset] cur_step=7053 phase=D_mixed_covt +[Dataset] cur_step=7053 phase=D_mixed_covt +[Dataset] cur_step=7053 phase=D_mixed_covt + 78%|███████████████████████▌ | 7053/9000 [6:05:13<1:40:43, 3.10s/it][Dataset] cur_step=7053 phase=D_mixed_covt + {'loss': '3.174', 'grad_norm': '5.61', 'learning_rate': '6.129e-06', 'epoch': '0.2537'} + 78%|███████████████████████▌ | 7053/9000 [6:05:13<1:40:43, 3.10s/it] {'lm_loss': '0.1783', 'visual_loss': '2.976', 'seg_loss': '0.7683', 'dino_loss': '0.9104', 'depth_loss': '0.2607', 'vggt_mse_loss': '0.2588', 'vggt_cos_loss': '0.01907', 'pidinet_loss': '0.2884', 'siglip_loss': '0.7481', 'epoch': '0.2537'} + 78%|███████████████████████▌ | 7053/9000 [6:05:15<1:40:43, 3.10s/it][Dataset] cur_step=7054 phase=D_mixed_covt +[Dataset] cur_step=7054 phase=D_mixed_covt +[Dataset] cur_step=7054 phase=D_mixed_covt +[Dataset] cur_step=7054 phase=D_mixed_covt[Dataset] cur_step=7054 phase=D_mixed_covt + +[Dataset] cur_step=7054 phase=D_mixed_covt 78%|███████████████████████▌ | 7054/9000 [6:05:18<2:01:51, 3.76s/it] +[Dataset] cur_step=7054 phase=D_mixed_covt +[Dataset] cur_step=7054 phase=D_mixed_covt + {'loss': '3.329', 'grad_norm': '3.759', 'learning_rate': '6.123e-06', 'epoch': '0.2538'} + 78%|███████████████████████▌ | 7054/9000 [6:05:18<2:01:51, 3.76s/it] {'lm_loss': '0.4362', 'visual_loss': '2.726', 'seg_loss': '0.6588', 'dino_loss': '0.8926', 'depth_loss': '0.4255', 'vggt_mse_loss': '0.4214', 'vggt_cos_loss': '0.04144', 'pidinet_loss': '0.2293', 'siglip_loss': '0.5196', 'epoch': '0.2538'} + 78%|███████████████████████▌ | 7054/9000 [6:05:21<2:01:51, 3.76s/it][Dataset] cur_step=7055 phase=D_mixed_covt +[Dataset] cur_step=7055 phase=D_mixed_covt +[Dataset] cur_step=7055 phase=D_mixed_covt +[Dataset] cur_step=7055 phase=D_mixed_covt[Dataset] cur_step=7055 phase=D_mixed_covt + +[Dataset] cur_step=7055 phase=D_mixed_covt +[Dataset] cur_step=7055 phase=D_mixed_covt[Dataset] cur_step=7055 phase=D_mixed_covt + + 78%|███████████████████████▌ | 7055/9000 [6:05:22<1:58:05, 3.64s/it] {'loss': '3.229', 'grad_norm': '4.071', 'learning_rate': '6.117e-06', 'epoch': '0.2538'} + 78%|███████████████████████▌ | 7055/9000 [6:05:22<1:58:05, 3.64s/it] {'lm_loss': '0.5692', 'visual_loss': '2.6', 'seg_loss': '0.5764', 'dino_loss': '0.8967', 'depth_loss': '0.2549', 'vggt_mse_loss': '0.2528', 'vggt_cos_loss': '0.0205', 'pidinet_loss': '0.2521', 'siglip_loss': '0.6202', 'epoch': '0.2538'} + 78%|███████████████████████▌ | 7055/9000 [6:05:23<1:58:05, 3.64s/it][Dataset] cur_step=7056 phase=D_mixed_covt[Dataset] cur_step=7056 phase=D_mixed_covt + +[Dataset] cur_step=7056 phase=D_mixed_covt +[Dataset] cur_step=7056 phase=D_mixed_covt +[Dataset] cur_step=7056 phase=D_mixed_covt +[Dataset] cur_step=7056 phase=D_mixed_covt[Dataset] cur_step=7056 phase=D_mixed_covt + +[Dataset] cur_step=7056 phase=D_mixed_covt + 78%|███████████████████████▌ | 7056/9000 [6:05:24<1:41:45, 3.14s/it] {'loss': '3.457', 'grad_norm': '3.742', 'learning_rate': '6.111e-06', 'epoch': '0.2538'} + 78%|███████████████████████▌ | 7056/9000 [6:05:24<1:41:45, 3.14s/it] {'lm_loss': '0.3533', 'visual_loss': '2.512', 'seg_loss': '0.6587', 'dino_loss': '0.9009', 'depth_loss': '0.1779', 'vggt_mse_loss': '0.1768', 'vggt_cos_loss': '0.01136', 'pidinet_loss': '0.1971', 'siglip_loss': '0.5775', 'epoch': '0.2538'} + 78%|███████████████████████▌ | 7056/9000 [6:05:27<1:41:45, 3.14s/it][Dataset] cur_step=7057 phase=D_mixed_covt +[Dataset] cur_step=7057 phase=D_mixed_covt +[Dataset] cur_step=7057 phase=D_mixed_covt +[Dataset] cur_step=7057 phase=D_mixed_covt +[Dataset] cur_step=7057 phase=D_mixed_covt[Dataset] cur_step=7057 phase=D_mixed_covt + + 78%|███████████████████████▌ | 7057/9000 [6:05:27<1:45:14, 3.25s/it][Dataset] cur_step=7057 phase=D_mixed_covt +[Dataset] cur_step=7057 phase=D_mixed_covt + {'loss': '3.193', 'grad_norm': '3.392', 'learning_rate': '6.105e-06', 'epoch': '0.2539'} + 78%|███████████████████████▌ | 7057/9000 [6:05:27<1:45:14, 3.25s/it] {'lm_loss': '0.08149', 'visual_loss': '2.432', 'seg_loss': '0.5851', 'dino_loss': '0.8932', 'depth_loss': '0.2748', 'vggt_mse_loss': '0.2724', 'vggt_cos_loss': '0.0234', 'pidinet_loss': '0.2693', 'siglip_loss': '0.4096', 'epoch': '0.2539'} + 78%|███████████████████████▌ | 7057/9000 [6:05:30<1:45:14, 3.25s/it][Dataset] cur_step=7058 phase=D_mixed_covt +[Dataset] cur_step=7058 phase=D_mixed_covt[Dataset] cur_step=7058 phase=D_mixed_covt + +[Dataset] cur_step=7058 phase=D_mixed_covt[Dataset] cur_step=7058 phase=D_mixed_covt +[Dataset] cur_step=7058 phase=D_mixed_covt + +[Dataset] cur_step=7058 phase=D_mixed_covt + 78%|███████████████████████▌ | 7058/9000 [6:05:30<1:46:51, 3.30s/it][Dataset] cur_step=7058 phase=D_mixed_covt + {'loss': '3.116', 'grad_norm': '3.099', 'learning_rate': '6.099e-06', 'epoch': '0.2539'} + 78%|███████████████████████▌ | 7058/9000 [6:05:30<1:46:51, 3.30s/it] {'lm_loss': '1.238', 'visual_loss': '2.875', 'seg_loss': '0.8568', 'dino_loss': '0.9404', 'depth_loss': '0.2051', 'vggt_mse_loss': '0.2033', 'vggt_cos_loss': '0.01734', 'pidinet_loss': '0.2643', 'siglip_loss': '0.6081', 'epoch': '0.2539'} + 78%|███████████████████████▌ | 7058/9000 [6:05:32<1:46:51, 3.30s/it][Dataset] cur_step=7059 phase=D_mixed_covt +[Dataset] cur_step=7059 phase=D_mixed_covt +[Dataset] cur_step=7059 phase=D_mixed_covt +[Dataset] cur_step=7059 phase=D_mixed_covt +[Dataset] cur_step=7059 phase=D_mixed_covt +[Dataset] cur_step=7059 phase=D_mixed_covt[Dataset] cur_step=7059 phase=D_mixed_covt + + 78%|███████████████████████▌ | 7059/9000 [6:05:32<1:33:16, 2.88s/it][Dataset] cur_step=7059 phase=D_mixed_covt + {'loss': '3.73', 'grad_norm': '5.124', 'learning_rate': '6.093e-06', 'epoch': '0.2539'} + 78%|███████████████████████▌ | 7059/9000 [6:05:32<1:33:16, 2.88s/it] {'lm_loss': '0.5522', 'visual_loss': '2.315', 'seg_loss': '0.6037', 'dino_loss': '0.9218', 'depth_loss': '0.182', 'vggt_mse_loss': '0.1806', 'vggt_cos_loss': '0.01398', 'pidinet_loss': '0.1451', 'siglip_loss': '0.4622', 'epoch': '0.2539'} + 78%|███████████████████████▌ | 7059/9000 [6:05:34<1:33:16, 2.88s/it][Dataset] cur_step=7060 phase=D_mixed_covt +[Dataset] cur_step=7060 phase=D_mixed_covt +[Dataset] cur_step=7060 phase=D_mixed_covt +[Dataset] cur_step=7060 phase=D_mixed_covt +[Dataset] cur_step=7060 phase=D_mixed_covt +[Dataset] cur_step=7060 phase=D_mixed_covt +[Dataset] cur_step=7060 phase=D_mixed_covt +[Dataset] cur_step=7060 phase=D_mixed_covt + 78%|███████████████████████▌ | 7060/9000 [6:05:35<1:31:26, 2.83s/it] {'loss': '3.274', 'grad_norm': '3.784', 'learning_rate': '6.087e-06', 'epoch': '0.254'} + 78%|███████████████████████▌ | 7060/9000 [6:05:35<1:31:26, 2.83s/it] {'lm_loss': '0.7028', 'visual_loss': '2.428', 'seg_loss': '0.7024', 'dino_loss': '0.9027', 'depth_loss': '0.1575', 'vggt_mse_loss': '0.1565', 'vggt_cos_loss': '0.009944', 'pidinet_loss': '0.2606', 'siglip_loss': '0.4051', 'epoch': '0.254'} + 78%|███████████████████████▌ | 7060/9000 [6:05:37<1:31:26, 2.83s/it][Dataset] cur_step=7061 phase=D_mixed_covt[Dataset] cur_step=7061 phase=D_mixed_covt + +[Dataset] cur_step=7061 phase=D_mixed_covt[Dataset] cur_step=7061 phase=D_mixed_covt + +[Dataset] cur_step=7061 phase=D_mixed_covt +[Dataset] cur_step=7061 phase=D_mixed_covt +[Dataset] cur_step=7061 phase=D_mixed_covt[Dataset] cur_step=7061 phase=D_mixed_covt + + 78%|███████████████████████▌ | 7061/9000 [6:05:38<1:30:47, 2.81s/it] {'loss': '3.432', 'grad_norm': '3.156', 'learning_rate': '6.081e-06', 'epoch': '0.254'} + 78%|███████████████████████▌ | 7061/9000 [6:05:38<1:30:47, 2.81s/it] {'lm_loss': '0.3852', 'visual_loss': '2.665', 'seg_loss': '0.7713', 'dino_loss': '0.8971', 'depth_loss': '0.1843', 'vggt_mse_loss': '0.1834', 'vggt_cos_loss': '0.009886', 'pidinet_loss': '0.2257', 'siglip_loss': '0.5862', 'epoch': '0.254'} + 78%|███████████████████████▌ | 7061/9000 [6:05:40<1:30:47, 2.81s/it][Dataset] cur_step=7062 phase=D_mixed_covt +[Dataset] cur_step=7062 phase=D_mixed_covt +[Dataset] cur_step=7062 phase=D_mixed_covt +[Dataset] cur_step=7062 phase=D_mixed_covt +[Dataset] cur_step=7062 phase=D_mixed_covt +[Dataset] cur_step=7062 phase=D_mixed_covt +[Dataset] cur_step=7062 phase=D_mixed_covt +[Dataset] cur_step=7062 phase=D_mixed_covt + 78%|███████████████████████▌ | 7062/9000 [6:05:42<1:44:32, 3.24s/it] {'loss': '3.236', 'grad_norm': '3.597', 'learning_rate': '6.075e-06', 'epoch': '0.2541'} + 78%|███████████████████████▌ | 7062/9000 [6:05:42<1:44:32, 3.24s/it] {'lm_loss': '0.5684', 'visual_loss': '2.584', 'seg_loss': '0.6522', 'dino_loss': '0.9799', 'depth_loss': '0.2728', 'vggt_mse_loss': '0.271', 'vggt_cos_loss': '0.0174', 'pidinet_loss': '0.1919', 'siglip_loss': '0.4868', 'epoch': '0.2541'} + 78%|███████████████████████▌ | 7062/9000 [6:05:45<1:44:32, 3.24s/it][Dataset] cur_step=7063 phase=D_mixed_covt +[Dataset] cur_step=7063 phase=D_mixed_covt[Dataset] cur_step=7063 phase=D_mixed_covt + +[Dataset] cur_step=7063 phase=D_mixed_covt[Dataset] cur_step=7063 phase=D_mixed_covt +[Dataset] cur_step=7063 phase=D_mixed_covt[Dataset] cur_step=7063 phase=D_mixed_covt + + +[Dataset] cur_step=7063 phase=D_mixed_covt + 78%|███████████████████████▌ | 7063/9000 [6:05:45<1:45:18, 3.26s/it] {'loss': '3.249', 'grad_norm': '11.04', 'learning_rate': '6.069e-06', 'epoch': '0.2541'} + 78%|███████████████████████▌ | 7063/9000 [6:05:45<1:45:18, 3.26s/it] {'lm_loss': '0.6426', 'visual_loss': '2.493', 'seg_loss': '0.6874', 'dino_loss': '0.8971', 'depth_loss': '0.1503', 'vggt_mse_loss': '0.1493', 'vggt_cos_loss': '0.01023', 'pidinet_loss': '0.2872', 'siglip_loss': '0.4708', 'epoch': '0.2541'} + 78%|███████████████████████▌ | 7063/9000 [6:05:48<1:45:18, 3.26s/it][Dataset] cur_step=7064 phase=D_mixed_covt +[Dataset] cur_step=7064 phase=D_mixed_covt[Dataset] cur_step=7064 phase=D_mixed_covt + +[Dataset] cur_step=7064 phase=D_mixed_covt +[Dataset] cur_step=7064 phase=D_mixed_covt + 78%|███████████████████████▌ | 7064/9000 [6:05:50<2:01:36, 3.77s/it][Dataset] cur_step=7064 phase=D_mixed_covt +[Dataset] cur_step=7064 phase=D_mixed_covt +[Dataset] cur_step=7064 phase=D_mixed_covt + {'loss': '3.399', 'grad_norm': '45.82', 'learning_rate': '6.063e-06', 'epoch': '0.2541'} + 78%|███████████████████████▌ | 7064/9000 [6:05:50<2:01:36, 3.77s/it] {'lm_loss': '0.7503', 'visual_loss': '2.523', 'seg_loss': '0.7132', 'dino_loss': '0.9078', 'depth_loss': '0.2038', 'vggt_mse_loss': '0.2026', 'vggt_cos_loss': '0.0128', 'pidinet_loss': '0.2293', 'siglip_loss': '0.4684', 'epoch': '0.2541'} + 78%|███████████████████████▌ | 7064/9000 [6:05:53<2:01:36, 3.77s/it][Dataset] cur_step=7065 phase=D_mixed_covt +[Dataset] cur_step=7065 phase=D_mixed_covt[Dataset] cur_step=7065 phase=D_mixed_covt[Dataset] cur_step=7065 phase=D_mixed_covt + + +[Dataset] cur_step=7065 phase=D_mixed_covt[Dataset] cur_step=7065 phase=D_mixed_covt + +[Dataset] cur_step=7065 phase=D_mixed_covt + 78%|███████████████████████▌ | 7065/9000 [6:05:54<1:57:29, 3.64s/it][Dataset] cur_step=7065 phase=D_mixed_covt + {'loss': '3.026', 'grad_norm': '2.937', 'learning_rate': '6.057e-06', 'epoch': '0.2542'} + 78%|███████████████████████▌ | 7065/9000 [6:05:54<1:57:29, 3.64s/it] {'lm_loss': '0.881', 'visual_loss': '2.294', 'seg_loss': '0.8637', 'dino_loss': '0', 'depth_loss': '0.2248', 'vggt_mse_loss': '0.223', 'vggt_cos_loss': '0.01799', 'pidinet_loss': '0.3653', 'siglip_loss': '0.8406', 'epoch': '0.2542'} + 78%|███████████████████████▌ | 7065/9000 [6:05:55<1:57:29, 3.64s/it][Dataset] cur_step=7066 phase=D_mixed_covt +[Dataset] cur_step=7066 phase=D_mixed_covt +[Dataset] cur_step=7066 phase=D_mixed_covt + 79%|███████████████████████▌ | 7066/9000 [6:05:56<1:39:54, 3.10s/it][Dataset] cur_step=7066 phase=D_mixed_covt[Dataset] cur_step=7066 phase=D_mixed_covt + +[Dataset] cur_step=7066 phase=D_mixed_covt[Dataset] cur_step=7066 phase=D_mixed_covt + +[Dataset] cur_step=7066 phase=D_mixed_covt + {'loss': '2.579', 'grad_norm': '5.875', 'learning_rate': '6.051e-06', 'epoch': '0.2542'} + 79%|███████████████████████▌ | 7066/9000 [6:05:56<1:39:54, 3.10s/it] {'lm_loss': '1.058', 'visual_loss': '2.172', 'seg_loss': '0', 'dino_loss': '0.8461', 'depth_loss': '0.2276', 'vggt_mse_loss': '0.2256', 'vggt_cos_loss': '0.02052', 'pidinet_loss': '0.3364', 'siglip_loss': '0.7623', 'epoch': '0.2542'} + 79%|███████████████████████▌ | 7066/9000 [6:05:56<1:39:54, 3.10s/it][Dataset] cur_step=7067 phase=D_mixed_covt +[Dataset] cur_step=7067 phase=D_mixed_covt[Dataset] cur_step=7067 phase=D_mixed_covt + +[Dataset] cur_step=7067 phase=D_mixed_covt +[Dataset] cur_step=7067 phase=D_mixed_covt +[Dataset] cur_step=7067 phase=D_mixed_covt +[Dataset] cur_step=7067 phase=D_mixed_covt 79%|███████████████████████▌ | 7067/9000 [6:05:57<1:20:29, 2.50s/it] +[Dataset] cur_step=7067 phase=D_mixed_covt + {'loss': '2.918', 'grad_norm': '4.257', 'learning_rate': '6.045e-06', 'epoch': '0.2542'} + 79%|███████████████████████▌ | 7067/9000 [6:05:57<1:20:29, 2.50s/it] {'lm_loss': '2.614', 'visual_loss': '2.613', 'seg_loss': '0.6301', 'dino_loss': '0.8311', 'depth_loss': '0.2498', 'vggt_mse_loss': '0.2478', 'vggt_cos_loss': '0.01962', 'pidinet_loss': '0.2223', 'siglip_loss': '0.6801', 'epoch': '0.2542'} + 79%|███████████████████████▌ | 7067/9000 [6:05:58<1:20:29, 2.50s/it][Dataset] cur_step=7068 phase=D_mixed_covt +[Dataset] cur_step=7068 phase=D_mixed_covt +[Dataset] cur_step=7068 phase=D_mixed_covt +[Dataset] cur_step=7068 phase=D_mixed_covt[Dataset] cur_step=7068 phase=D_mixed_covt + +[Dataset] cur_step=7068 phase=D_mixed_covt +[Dataset] cur_step=7068 phase=D_mixed_covt + 79%|███████████████████████▌ | 7068/9000 [6:06:01<1:37:54, 3.04s/it][Dataset] cur_step=7068 phase=D_mixed_covt + {'loss': '3.572', 'grad_norm': '4.126', 'learning_rate': '6.039e-06', 'epoch': '0.2543'} + 79%|███████████████████████▌ | 7068/9000 [6:06:01<1:37:54, 3.04s/it] {'lm_loss': '0.09726', 'visual_loss': '1.837', 'seg_loss': '0.7651', 'dino_loss': '0', 'depth_loss': '0.2575', 'vggt_mse_loss': '0.2558', 'vggt_cos_loss': '0.01747', 'pidinet_loss': '0.2247', 'siglip_loss': '0.5893', 'epoch': '0.2543'} + 79%|███████████████████████▌ | 7068/9000 [6:06:03<1:37:54, 3.04s/it][Dataset] cur_step=7069 phase=D_mixed_covt[Dataset] cur_step=7069 phase=D_mixed_covt + +[Dataset] cur_step=7069 phase=D_mixed_covt +[Dataset] cur_step=7069 phase=D_mixed_covt +[Dataset] cur_step=7069 phase=D_mixed_covt +[Dataset] cur_step=7069 phase=D_mixed_covt + 79%|███████████████████████▌ | 7069/9000 [6:06:04<1:33:51, 2.92s/it][Dataset] cur_step=7069 phase=D_mixed_covt +[Dataset] cur_step=7069 phase=D_mixed_covt + {'loss': '2.41', 'grad_norm': '2.977', 'learning_rate': '6.033e-06', 'epoch': '0.2543'} + 79%|███████████████████████▌ | 7069/9000 [6:06:04<1:33:51, 2.92s/it] {'lm_loss': '0.7449', 'visual_loss': '2.639', 'seg_loss': '0.768', 'dino_loss': '0.9034', 'depth_loss': '0.1867', 'vggt_mse_loss': '0.1856', 'vggt_cos_loss': '0.01176', 'pidinet_loss': '0.2389', 'siglip_loss': '0.5421', 'epoch': '0.2543'} + 79%|███████████████████████▌ | 7069/9000 [6:06:07<1:33:51, 2.92s/it][Dataset] cur_step=7070 phase=D_mixed_covt +[Dataset] cur_step=7070 phase=D_mixed_covt +[Dataset] cur_step=7070 phase=D_mixed_covt +[Dataset] cur_step=7070 phase=D_mixed_covt +[Dataset] cur_step=7070 phase=D_mixed_covt 79%|███████████████████████▌ | 7070/9000 [6:06:09<1:59:21, 3.71s/it] +[Dataset] cur_step=7070 phase=D_mixed_covt[Dataset] cur_step=7070 phase=D_mixed_covt + +[Dataset] cur_step=7070 phase=D_mixed_covt + {'loss': '3.344', 'grad_norm': '8.281', 'learning_rate': '6.027e-06', 'epoch': '0.2543'} + 79%|███████████████████████▌ | 7070/9000 [6:06:09<1:59:21, 3.71s/it] {'lm_loss': '0.6077', 'visual_loss': '1.763', 'seg_loss': '0.2872', 'dino_loss': '0.9388', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0', 'siglip_loss': '0.5366', 'epoch': '0.2543'} + 79%|███████████████████████▌ | 7070/9000 [6:06:11<1:59:21, 3.71s/it][Dataset] cur_step=7071 phase=D_mixed_covt +[Dataset] cur_step=7071 phase=D_mixed_covt +[Dataset] cur_step=7071 phase=D_mixed_covt[Dataset] cur_step=7071 phase=D_mixed_covt + +[Dataset] cur_step=7071 phase=D_mixed_covt 79%|███████████████████████▌ | 7071/9000 [6:06:11<1:40:47, 3.13s/it] +[Dataset] cur_step=7071 phase=D_mixed_covt +[Dataset] cur_step=7071 phase=D_mixed_covt +[Dataset] cur_step=7071 phase=D_mixed_covt + {'loss': '2.713', 'grad_norm': '6.458', 'learning_rate': '6.021e-06', 'epoch': '0.2544'} + 79%|███████████████████████▌ | 7071/9000 [6:06:11<1:40:47, 3.13s/it] {'lm_loss': '0.8382', 'visual_loss': '2.73', 'seg_loss': '0.711', 'dino_loss': '0.9148', 'depth_loss': '0.3909', 'vggt_mse_loss': '0.3871', 'vggt_cos_loss': '0.03812', 'pidinet_loss': '0', 'siglip_loss': '0.7137', 'epoch': '0.2544'} + 79%|███████████████████████▌ | 7071/9000 [6:06:12<1:40:47, 3.13s/it][Dataset] cur_step=7072 phase=D_mixed_covt[Dataset] cur_step=7072 phase=D_mixed_covt + +[Dataset] cur_step=7072 phase=D_mixed_covt +[Dataset] cur_step=7072 phase=D_mixed_covt[Dataset] cur_step=7072 phase=D_mixed_covt + +[Dataset] cur_step=7072 phase=D_mixed_covt +[Dataset] cur_step=7072 phase=D_mixed_covt + 79%|███████████████████████▌ | 7072/9000 [6:06:13<1:29:49, 2.80s/it][Dataset] cur_step=7072 phase=D_mixed_covt + {'loss': '3.309', 'grad_norm': '5.316', 'learning_rate': '6.015e-06', 'epoch': '0.2544'} + 79%|███████████████████████▌ | 7072/9000 [6:06:13<1:29:49, 2.80s/it] {'lm_loss': '0.6402', 'visual_loss': '2.7', 'seg_loss': '0.7569', 'dino_loss': '0.9318', 'depth_loss': '0.2054', 'vggt_mse_loss': '0.204', 'vggt_cos_loss': '0.01346', 'pidinet_loss': '0.3137', 'siglip_loss': '0.4923', 'epoch': '0.2544'} + 79%|███████████████████████▌ | 7072/9000 [6:06:15<1:29:49, 2.80s/it][Dataset] cur_step=7073 phase=D_mixed_covt +[Dataset] cur_step=7073 phase=D_mixed_covt[Dataset] cur_step=7073 phase=D_mixed_covt + +[Dataset] cur_step=7073 phase=D_mixed_covt[Dataset] cur_step=7073 phase=D_mixed_covt +[Dataset] cur_step=7073 phase=D_mixed_covt + + 79%|███████████████████████▌ | 7073/9000 [6:06:16<1:34:02, 2.93s/it][Dataset] cur_step=7073 phase=D_mixed_covt +[Dataset] cur_step=7073 phase=D_mixed_covt + {'loss': '3.152', 'grad_norm': '4.788', 'learning_rate': '6.009e-06', 'epoch': '0.2545'} + 79%|███████████████████████▌ | 7073/9000 [6:06:16<1:34:02, 2.93s/it] {'lm_loss': '1.05', 'visual_loss': '2.95', 'seg_loss': '0.7653', 'dino_loss': '0.9256', 'depth_loss': '0.2427', 'vggt_mse_loss': '0.2408', 'vggt_cos_loss': '0.01959', 'pidinet_loss': '0.2783', 'siglip_loss': '0.7377', 'epoch': '0.2545'} + 79%|███████████████████████▌ | 7073/9000 [6:06:18<1:34:02, 2.93s/it][Dataset] cur_step=7074 phase=D_mixed_covt +[Dataset] cur_step=7074 phase=D_mixed_covt +[Dataset] cur_step=7074 phase=D_mixed_covt +[Dataset] cur_step=7074 phase=D_mixed_covt +[Dataset] cur_step=7074 phase=D_mixed_covt + 79%|███████████████████████▌ | 7074/9000 [6:06:19<1:32:52, 2.89s/it][Dataset] cur_step=7074 phase=D_mixed_covt +[Dataset] cur_step=7074 phase=D_mixed_covt +[Dataset] cur_step=7074 phase=D_mixed_covt + {'loss': '3.105', 'grad_norm': '6.648', 'learning_rate': '6.003e-06', 'epoch': '0.2545'} + 79%|███████████████████████▌ | 7074/9000 [6:06:19<1:32:52, 2.89s/it] {'lm_loss': '0.8458', 'visual_loss': '2.72', 'seg_loss': '0.7705', 'dino_loss': '0.9087', 'depth_loss': '0.1609', 'vggt_mse_loss': '0.1597', 'vggt_cos_loss': '0.01158', 'pidinet_loss': '0.2711', 'siglip_loss': '0.6094', 'epoch': '0.2545'} + 79%|███████████████████████▌ | 7074/9000 [6:06:21<1:32:52, 2.89s/it][Dataset] cur_step=7075 phase=D_mixed_covt[Dataset] cur_step=7075 phase=D_mixed_covt +[Dataset] cur_step=7075 phase=D_mixed_covt + +[Dataset] cur_step=7075 phase=D_mixed_covt[Dataset] cur_step=7075 phase=D_mixed_covt[Dataset] cur_step=7075 phase=D_mixed_covt + + + 79%|███████████████████████▌ | 7075/9000 [6:06:21<1:29:14, 2.78s/it][Dataset] cur_step=7075 phase=D_mixed_covt +[Dataset] cur_step=7075 phase=D_mixed_covt + {'loss': '3.134', 'grad_norm': '4.516', 'learning_rate': '5.997e-06', 'epoch': '0.2545'} + 79%|███████████████████████▌ | 7075/9000 [6:06:22<1:29:14, 2.78s/it] {'lm_loss': '1.119', 'visual_loss': '2.13', 'seg_loss': '0', 'dino_loss': '0.9795', 'depth_loss': '0.1937', 'vggt_mse_loss': '0.1925', 'vggt_cos_loss': '0.01294', 'pidinet_loss': '0.2736', 'siglip_loss': '0.6835', 'epoch': '0.2545'} + 79%|███████████████████████▌ | 7075/9000 [6:06:22<1:29:14, 2.78s/it][Dataset] cur_step=7076 phase=D_mixed_covt +[Dataset] cur_step=7076 phase=D_mixed_covt[Dataset] cur_step=7076 phase=D_mixed_covt +[Dataset] cur_step=7076 phase=D_mixed_covt + +[Dataset] cur_step=7076 phase=D_mixed_covt +[Dataset] cur_step=7076 phase=D_mixed_covt +[Dataset] cur_step=7076 phase=D_mixed_covt + 79%|███████████████████████▌ | 7076/9000 [6:06:23<1:13:54, 2.30s/it][Dataset] cur_step=7076 phase=D_mixed_covt + {'loss': '3.006', 'grad_norm': '3.392', 'learning_rate': '5.991e-06', 'epoch': '0.2546'} + 79%|███████████████████████▌ | 7076/9000 [6:06:23<1:13:54, 2.30s/it] {'lm_loss': '0.7266', 'visual_loss': '2.072', 'seg_loss': '0.6433', 'dino_loss': '0.8467', 'depth_loss': '0.1829', 'vggt_mse_loss': '0.182', 'vggt_cos_loss': '0.008778', 'pidinet_loss': '0.1002', 'siglip_loss': '0.2989', 'epoch': '0.2546'} + 79%|███████████████████████▌ | 7076/9000 [6:06:26<1:13:54, 2.30s/it][Dataset] cur_step=7077 phase=D_mixed_covt +[Dataset] cur_step=7077 phase=D_mixed_covt +[Dataset] cur_step=7077 phase=D_mixed_covt +[Dataset] cur_step=7077 phase=D_mixed_covt +[Dataset] cur_step=7077 phase=D_mixed_covt +[Dataset] cur_step=7077 phase=D_mixed_covt[Dataset] cur_step=7077 phase=D_mixed_covt + + 79%|███████████████████████▌ | 7077/9000 [6:06:26<1:27:34, 2.73s/it][Dataset] cur_step=7077 phase=D_mixed_covt + {'loss': '3.081', 'grad_norm': '112.9', 'learning_rate': '5.985e-06', 'epoch': '0.2546'} + 79%|███████████████████████▌ | 7077/9000 [6:06:26<1:27:34, 2.73s/it] {'lm_loss': '0.8209', 'visual_loss': '2.381', 'seg_loss': '0.5776', 'dino_loss': '0.8768', 'depth_loss': '0.2231', 'vggt_mse_loss': '0.222', 'vggt_cos_loss': '0.01088', 'pidinet_loss': '0.1611', 'siglip_loss': '0.5424', 'epoch': '0.2546'} + 79%|███████████████████████▌ | 7077/9000 [6:06:28<1:27:34, 2.73s/it][Dataset] cur_step=7078 phase=D_mixed_covt +[Dataset] cur_step=7078 phase=D_mixed_covt +[Dataset] cur_step=7078 phase=D_mixed_covt +[Dataset] cur_step=7078 phase=D_mixed_covt[Dataset] cur_step=7078 phase=D_mixed_covt + 79%|███████████████████████▌ | 7078/9000 [6:06:29<1:23:34, 2.61s/it] +[Dataset] cur_step=7078 phase=D_mixed_covt +[Dataset] cur_step=7078 phase=D_mixed_covt +[Dataset] cur_step=7078 phase=D_mixed_covt + {'loss': '3.48', 'grad_norm': '5.102', 'learning_rate': '5.979e-06', 'epoch': '0.2546'} + 79%|███████████████████████▌ | 7078/9000 [6:06:29<1:23:34, 2.61s/it] {'lm_loss': '1.07', 'visual_loss': '2.539', 'seg_loss': '0.6076', 'dino_loss': '0.9308', 'depth_loss': '0.2418', 'vggt_mse_loss': '0.2401', 'vggt_cos_loss': '0.01669', 'pidinet_loss': '0.2714', 'siglip_loss': '0.4878', 'epoch': '0.2546'} + 79%|███████████████████████▌ | 7078/9000 [6:06:31<1:23:34, 2.61s/it][Dataset] cur_step=7079 phase=D_mixed_covt[Dataset] cur_step=7079 phase=D_mixed_covt + + 79%|███████████████████████▌ | 7079/9000 [6:06:32<1:27:10, 2.72s/it][Dataset] cur_step=7079 phase=D_mixed_covt +[Dataset] cur_step=7079 phase=D_mixed_covt[Dataset] cur_step=7079 phase=D_mixed_covt + +[Dataset] cur_step=7079 phase=D_mixed_covt +[Dataset] cur_step=7079 phase=D_mixed_covt +[Dataset] cur_step=7079 phase=D_mixed_covt + {'loss': '3.289', 'grad_norm': '4.398', 'learning_rate': '5.973e-06', 'epoch': '0.2547'} + 79%|███████████████████████▌ | 7079/9000 [6:06:32<1:27:10, 2.72s/it] {'lm_loss': '0.8779', 'visual_loss': '1.335', 'seg_loss': '0.4886', 'dino_loss': '0', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2506', 'siglip_loss': '0.5961', 'epoch': '0.2547'} + 79%|███████████████████████▌ | 7079/9000 [6:06:33<1:27:10, 2.72s/it][Dataset] cur_step=7080 phase=D_mixed_covt +[Dataset] cur_step=7080 phase=D_mixed_covt +[Dataset] cur_step=7080 phase=D_mixed_covt[Dataset] cur_step=7080 phase=D_mixed_covt + +[Dataset] cur_step=7080 phase=D_mixed_covt +[Dataset] cur_step=7080 phase=D_mixed_covt +[Dataset] cur_step=7080 phase=D_mixed_covt + 79%|███████████████████████▌ | 7080/9000 [6:06:34<1:20:28, 2.51s/it][Dataset] cur_step=7080 phase=D_mixed_covt + {'loss': '2.188', 'grad_norm': '5.285', 'learning_rate': '5.967e-06', 'epoch': '0.2547'} + 79%|███████████████████████▌ | 7080/9000 [6:06:34<1:20:28, 2.51s/it] {'lm_loss': '0.5932', 'visual_loss': '2.947', 'seg_loss': '0.7716', 'dino_loss': '0.8749', 'depth_loss': '0.339', 'vggt_mse_loss': '0.3366', 'vggt_cos_loss': '0.02405', 'pidinet_loss': '0.2103', 'siglip_loss': '0.7513', 'epoch': '0.2547'} + 79%|███████████████████████▌ | 7080/9000 [6:06:36<1:20:28, 2.51s/it][Dataset] cur_step=7081 phase=D_mixed_covt +[Dataset] cur_step=7081 phase=D_mixed_covt +[Dataset] cur_step=7081 phase=D_mixed_covt +[Dataset] cur_step=7081 phase=D_mixed_covt +[Dataset] cur_step=7081 phase=D_mixed_covt[Dataset] cur_step=7081 phase=D_mixed_covt + +[Dataset] cur_step=7081 phase=D_mixed_covt + 79%|███████████████████████▌ | 7081/9000 [6:06:37<1:27:53, 2.75s/it][Dataset] cur_step=7081 phase=D_mixed_covt + {'loss': '3.275', 'grad_norm': '2.912', 'learning_rate': '5.962e-06', 'epoch': '0.2547'} + 79%|███████████████████████▌ | 7081/9000 [6:06:37<1:27:53, 2.75s/it] {'lm_loss': '0.6779', 'visual_loss': '2.981', 'seg_loss': '0.7959', 'dino_loss': '0.938', 'depth_loss': '0.2578', 'vggt_mse_loss': '0.2558', 'vggt_cos_loss': '0.01999', 'pidinet_loss': '0.2794', 'siglip_loss': '0.7103', 'epoch': '0.2547'} + 79%|███████████████████████▌ | 7081/9000 [6:06:39<1:27:53, 2.75s/it][Dataset] cur_step=7082 phase=D_mixed_covt[Dataset] cur_step=7082 phase=D_mixed_covt + +[Dataset] cur_step=7082 phase=D_mixed_covt[Dataset] cur_step=7082 phase=D_mixed_covt + +[Dataset] cur_step=7082 phase=D_mixed_covt +[Dataset] cur_step=7082 phase=D_mixed_covt +[Dataset] cur_step=7082 phase=D_mixed_covt[Dataset] cur_step=7082 phase=D_mixed_covt + + 79%|███████████████████████▌ | 7082/9000 [6:06:40<1:25:41, 2.68s/it] {'loss': '3.463', 'grad_norm': '4.549', 'learning_rate': '5.956e-06', 'epoch': '0.2548'} + 79%|███████████████████████▌ | 7082/9000 [6:06:40<1:25:41, 2.68s/it] {'lm_loss': '0.6835', 'visual_loss': '2.534', 'seg_loss': '0.777', 'dino_loss': '0.8966', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.1929', 'siglip_loss': '0.6678', 'epoch': '0.2548'} + 79%|███████████████████████▌ | 7082/9000 [6:06:42<1:25:41, 2.68s/it][Dataset] cur_step=7083 phase=D_mixed_covt +[Dataset] cur_step=7083 phase=D_mixed_covt[Dataset] cur_step=7083 phase=D_mixed_covt[Dataset] cur_step=7083 phase=D_mixed_covt + + +[Dataset] cur_step=7083 phase=D_mixed_covt +[Dataset] cur_step=7083 phase=D_mixed_covt + 79%|███████████████████████▌ | 7083/9000 [6:06:43<1:28:15, 2.76s/it][Dataset] cur_step=7083 phase=D_mixed_covt +[Dataset] cur_step=7083 phase=D_mixed_covt + {'loss': '2.716', 'grad_norm': '4.48', 'learning_rate': '5.95e-06', 'epoch': '0.2548'} + 79%|███████████████████████▌ | 7083/9000 [6:06:43<1:28:15, 2.76s/it] {'lm_loss': '0.8286', 'visual_loss': '2.202', 'seg_loss': '0.5689', 'dino_loss': '0.8973', 'depth_loss': '0.2183', 'vggt_mse_loss': '0.2168', 'vggt_cos_loss': '0.01469', 'pidinet_loss': '0.1509', 'siglip_loss': '0.3672', 'epoch': '0.2548'} + 79%|███████████████████████▌ | 7083/9000 [6:06:44<1:28:15, 2.76s/it][Dataset] cur_step=7084 phase=D_mixed_covt +[Dataset] cur_step=7084 phase=D_mixed_covt[Dataset] cur_step=7084 phase=D_mixed_covt + +[Dataset] cur_step=7084 phase=D_mixed_covt +[Dataset] cur_step=7084 phase=D_mixed_covt + 79%|███████████████████████▌ | 7084/9000 [6:06:44<1:20:31, 2.52s/it][Dataset] cur_step=7084 phase=D_mixed_covt +[Dataset] cur_step=7084 phase=D_mixed_covt +[Dataset] cur_step=7084 phase=D_mixed_covt + {'loss': '3.162', 'grad_norm': '4.155', 'learning_rate': '5.944e-06', 'epoch': '0.2548'} + 79%|███████████████████████▌ | 7084/9000 [6:06:44<1:20:31, 2.52s/it] {'lm_loss': '0.9716', 'visual_loss': '1.457', 'seg_loss': '0.5836', 'dino_loss': '0', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2463', 'siglip_loss': '0.6266', 'epoch': '0.2548'} + 79%|███████████████████████▌ | 7084/9000 [6:06:46<1:20:31, 2.52s/it][Dataset] cur_step=7085 phase=D_mixed_covt +[Dataset] cur_step=7085 phase=D_mixed_covt +[Dataset] cur_step=7085 phase=D_mixed_covt +[Dataset] cur_step=7085 phase=D_mixed_covt 79%|███████████████████████▌ | 7085/9000 [6:06:46<1:13:10, 2.29s/it][Dataset] cur_step=7085 phase=D_mixed_covt +[Dataset] cur_step=7085 phase=D_mixed_covt + +[Dataset] cur_step=7085 phase=D_mixed_covt +[Dataset] cur_step=7085 phase=D_mixed_covt + {'loss': '2.322', 'grad_norm': '4.908', 'learning_rate': '5.938e-06', 'epoch': '0.2549'} + 79%|███████████████████████▌ | 7085/9000 [6:06:46<1:13:10, 2.29s/it] {'lm_loss': '0.6904', 'visual_loss': '2.844', 'seg_loss': '0.5733', 'dino_loss': '0.9294', 'depth_loss': '0.294', 'vggt_mse_loss': '0.2922', 'vggt_cos_loss': '0.01771', 'pidinet_loss': '0.3039', 'siglip_loss': '0.7437', 'epoch': '0.2549'} + 79%|███████████████████████▌ | 7085/9000 [6:06:48<1:13:10, 2.29s/it][Dataset] cur_step=7086 phase=D_mixed_covt +[Dataset] cur_step=7086 phase=D_mixed_covt +[Dataset] cur_step=7086 phase=D_mixed_covt +[Dataset] cur_step=7086 phase=D_mixed_covt +[Dataset] cur_step=7086 phase=D_mixed_covt +[Dataset] cur_step=7086 phase=D_mixed_covt + 79%|███████████████████████▌ | 7086/9000 [6:06:48<1:08:45, 2.16s/it][Dataset] cur_step=7086 phase=D_mixed_covt +[Dataset] cur_step=7086 phase=D_mixed_covt + {'loss': '3.215', 'grad_norm': '4.065', 'learning_rate': '5.932e-06', 'epoch': '0.2549'} + 79%|███████████████████████▌ | 7086/9000 [6:06:48<1:08:45, 2.16s/it] {'lm_loss': '0.8812', 'visual_loss': '2.628', 'seg_loss': '0.7125', 'dino_loss': '0.9204', 'depth_loss': '0.3601', 'vggt_mse_loss': '0.3576', 'vggt_cos_loss': '0.02556', 'pidinet_loss': '0', 'siglip_loss': '0.6348', 'epoch': '0.2549'} + 79%|███████████████████████▌ | 7086/9000 [6:06:49<1:08:45, 2.16s/it][Dataset] cur_step=7087 phase=D_mixed_covt +[Dataset] cur_step=7087 phase=D_mixed_covt[Dataset] cur_step=7087 phase=D_mixed_covt + +[Dataset] cur_step=7087 phase=D_mixed_covt +[Dataset] cur_step=7087 phase=D_mixed_covt[Dataset] cur_step=7087 phase=D_mixed_covt + +[Dataset] cur_step=7087 phase=D_mixed_covt +[Dataset] cur_step=7087 phase=D_mixed_covt + 79%|███████████████████████▌ | 7087/9000 [6:06:50<1:09:27, 2.18s/it] {'loss': '2.981', 'grad_norm': '3.814', 'learning_rate': '5.926e-06', 'epoch': '0.255'} + 79%|███████████████████████▌ | 7087/9000 [6:06:50<1:09:27, 2.18s/it] {'lm_loss': '0.08718', 'visual_loss': '2.729', 'seg_loss': '0.7347', 'dino_loss': '0.9225', 'depth_loss': '0.321', 'vggt_mse_loss': '0.3185', 'vggt_cos_loss': '0.025', 'pidinet_loss': '0.2396', 'siglip_loss': '0.5111', 'epoch': '0.255'} + 79%|███████████████████████▌ | 7087/9000 [6:06:52<1:09:27, 2.18s/it][Dataset] cur_step=7088 phase=D_mixed_covt +[Dataset] cur_step=7088 phase=D_mixed_covt +[Dataset] cur_step=7088 phase=D_mixed_covt +[Dataset] cur_step=7088 phase=D_mixed_covt +[Dataset] cur_step=7088 phase=D_mixed_covt + 79%|███████████████████████▋ | 7088/9000 [6:06:54<1:19:18, 2.49s/it][Dataset] cur_step=7088 phase=D_mixed_covt[Dataset] cur_step=7088 phase=D_mixed_covt + +[Dataset] cur_step=7088 phase=D_mixed_covt + {'loss': '3.169', 'grad_norm': '3.089', 'learning_rate': '5.92e-06', 'epoch': '0.255'} + 79%|███████████████████████▋ | 7088/9000 [6:06:54<1:19:18, 2.49s/it] {'lm_loss': '0.7243', 'visual_loss': '2.697', 'seg_loss': '0.8543', 'dino_loss': '0.9268', 'depth_loss': '0.2656', 'vggt_mse_loss': '0.2636', 'vggt_cos_loss': '0.02026', 'pidinet_loss': '0.2243', 'siglip_loss': '0.4259', 'epoch': '0.255'} + 79%|███████████████████████▋ | 7088/9000 [6:06:55<1:19:18, 2.49s/it][Dataset] cur_step=7089 phase=D_mixed_covt +[Dataset] cur_step=7089 phase=D_mixed_covt[Dataset] cur_step=7089 phase=D_mixed_covt + +[Dataset] cur_step=7089 phase=D_mixed_covt[Dataset] cur_step=7089 phase=D_mixed_covt + +[Dataset] cur_step=7089 phase=D_mixed_covt +[Dataset] cur_step=7089 phase=D_mixed_covt + 79%|███████████████████████▋ | 7089/9000 [6:06:56<1:19:45, 2.50s/it][Dataset] cur_step=7089 phase=D_mixed_covt + {'loss': '3.192', 'grad_norm': '4.739', 'learning_rate': '5.914e-06', 'epoch': '0.255'} + 79%|███████████████████████▋ | 7089/9000 [6:06:56<1:19:45, 2.50s/it] {'lm_loss': '0.9274', 'visual_loss': '2.214', 'seg_loss': '0.7214', 'dino_loss': '0.93', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.1459', 'siglip_loss': '0.4168', 'epoch': '0.255'} + 79%|███████████████████████▋ | 7089/9000 [6:06:58<1:19:45, 2.50s/it][Dataset] cur_step=7090 phase=D_mixed_covt +[Dataset] cur_step=7090 phase=D_mixed_covt +[Dataset] cur_step=7090 phase=D_mixed_covt[Dataset] cur_step=7090 phase=D_mixed_covt + +[Dataset] cur_step=7090 phase=D_mixed_covt +[Dataset] cur_step=7090 phase=D_mixed_covt +[Dataset] cur_step=7090 phase=D_mixed_covt + 79%|███████████████████████▋ | 7090/9000 [6:06:59<1:20:19, 2.52s/it][Dataset] cur_step=7090 phase=D_mixed_covt + {'loss': '3.193', 'grad_norm': '4.042', 'learning_rate': '5.908e-06', 'epoch': '0.2551'} + 79%|███████████████████████▋ | 7090/9000 [6:06:59<1:20:19, 2.52s/it] {'lm_loss': '1.01', 'visual_loss': '2.727', 'seg_loss': '0.6826', 'dino_loss': '0.8784', 'depth_loss': '0.3', 'vggt_mse_loss': '0.2976', 'vggt_cos_loss': '0.02382', 'pidinet_loss': '0.2457', 'siglip_loss': '0.6201', 'epoch': '0.2551'} + 79%|███████████████████████▋ | 7090/9000 [6:07:02<1:20:19, 2.52s/it][Dataset] cur_step=7091 phase=D_mixed_covt[Dataset] cur_step=7091 phase=D_mixed_covt[Dataset] cur_step=7091 phase=D_mixed_covt + + + 79%|███████████████████████▋ | 7091/9000 [6:07:03<1:38:14, 3.09s/it][Dataset] cur_step=7091 phase=D_mixed_covt +[Dataset] cur_step=7091 phase=D_mixed_covt +[Dataset] cur_step=7091 phase=D_mixed_covt +[Dataset] cur_step=7091 phase=D_mixed_covt +[Dataset] cur_step=7091 phase=D_mixed_covt + {'loss': '3.525', 'grad_norm': '3.102', 'learning_rate': '5.902e-06', 'epoch': '0.2551'} + 79%|███████████████████████▋ | 7091/9000 [6:07:03<1:38:14, 3.09s/it] {'lm_loss': '0.131', 'visual_loss': '2.015', 'seg_loss': '0.4886', 'dino_loss': '0.8608', 'depth_loss': '0.1937', 'vggt_mse_loss': '0.1925', 'vggt_cos_loss': '0.01155', 'pidinet_loss': '0', 'siglip_loss': '0.472', 'epoch': '0.2551'} + 79%|███████████████████████▋ | 7091/9000 [6:07:05<1:38:14, 3.09s/it][Dataset] cur_step=7092 phase=D_mixed_covt[Dataset] cur_step=7092 phase=D_mixed_covt +[Dataset] cur_step=7092 phase=D_mixed_covt +[Dataset] cur_step=7092 phase=D_mixed_covt +[Dataset] cur_step=7092 phase=D_mixed_covt + + 79%|███████████████████████▋ | 7092/9000 [6:07:07<1:43:43, 3.26s/it][Dataset] cur_step=7092 phase=D_mixed_covt +[Dataset] cur_step=7092 phase=D_mixed_covt +[Dataset] cur_step=7092 phase=D_mixed_covt + {'loss': '3.07', 'grad_norm': '5.089', 'learning_rate': '5.896e-06', 'epoch': '0.2551'} + 79%|███████████████████████▋ | 7092/9000 [6:07:07<1:43:43, 3.26s/it] {'lm_loss': '0.4065', 'visual_loss': '1.982', 'seg_loss': '0.5491', 'dino_loss': '0.8896', 'depth_loss': '0.218', 'vggt_mse_loss': '0.2166', 'vggt_cos_loss': '0.01388', 'pidinet_loss': '0', 'siglip_loss': '0.3253', 'epoch': '0.2551'} + 79%|███████████████████████▋ | 7092/9000 [6:07:08<1:43:43, 3.26s/it][Dataset] cur_step=7093 phase=D_mixed_covt +[Dataset] cur_step=7093 phase=D_mixed_covt[Dataset] cur_step=7093 phase=D_mixed_covt + +[Dataset] cur_step=7093 phase=D_mixed_covt[Dataset] cur_step=7093 phase=D_mixed_covt + +[Dataset] cur_step=7093 phase=D_mixed_covt 79%|███████████████████████▋ | 7093/9000 [6:07:09<1:30:19, 2.84s/it] +[Dataset] cur_step=7093 phase=D_mixed_covt +[Dataset] cur_step=7093 phase=D_mixed_covt + {'loss': '3.015', 'grad_norm': '4.523', 'learning_rate': '5.89e-06', 'epoch': '0.2552'} + 79%|███████████████████████▋ | 7093/9000 [6:07:09<1:30:19, 2.84s/it] {'lm_loss': '0.6269', 'visual_loss': '2.632', 'seg_loss': '0.5869', 'dino_loss': '0.8988', 'depth_loss': '0.363', 'vggt_mse_loss': '0.3603', 'vggt_cos_loss': '0.02734', 'pidinet_loss': '0.2208', 'siglip_loss': '0.5625', 'epoch': '0.2552'} + 79%|███████████████████████▋ | 7093/9000 [6:07:11<1:30:19, 2.84s/it][Dataset] cur_step=7094 phase=D_mixed_covt +[Dataset] cur_step=7094 phase=D_mixed_covt +[Dataset] cur_step=7094 phase=D_mixed_covt +[Dataset] cur_step=7094 phase=D_mixed_covt + 79%|███████████████████████▋ | 7094/9000 [6:07:12<1:38:03, 3.09s/it][Dataset] cur_step=7094 phase=D_mixed_covt +[Dataset] cur_step=7094 phase=D_mixed_covt +[Dataset] cur_step=7094 phase=D_mixed_covt +[Dataset] cur_step=7094 phase=D_mixed_covt + {'loss': '2.915', 'grad_norm': '2.978', 'learning_rate': '5.884e-06', 'epoch': '0.2552'} + 79%|███████████████████████▋ | 7094/9000 [6:07:12<1:38:03, 3.09s/it] {'lm_loss': '0.4482', 'visual_loss': '2.682', 'seg_loss': '0.6516', 'dino_loss': '0.911', 'depth_loss': '0.2259', 'vggt_mse_loss': '0.2243', 'vggt_cos_loss': '0.01678', 'pidinet_loss': '0.2171', 'siglip_loss': '0.6762', 'epoch': '0.2552'} + 79%|███████████████████████▋ | 7094/9000 [6:07:15<1:38:03, 3.09s/it][Dataset] cur_step=7095 phase=D_mixed_covt +[Dataset] cur_step=7095 phase=D_mixed_covt[Dataset] cur_step=7095 phase=D_mixed_covt + +[Dataset] cur_step=7095 phase=D_mixed_covt +[Dataset] cur_step=7095 phase=D_mixed_covt +[Dataset] cur_step=7095 phase=D_mixed_covt +[Dataset] cur_step=7095 phase=D_mixed_covt + 79%|███████████████████████▋ | 7095/9000 [6:07:16<1:43:30, 3.26s/it][Dataset] cur_step=7095 phase=D_mixed_covt + {'loss': '3.222', 'grad_norm': '6.637', 'learning_rate': '5.878e-06', 'epoch': '0.2552'} + 79%|███████████████████████▋ | 7095/9000 [6:07:16<1:43:30, 3.26s/it] {'lm_loss': '0.5868', 'visual_loss': '2.11', 'seg_loss': '0.6482', 'dino_loss': '0.8845', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.1848', 'siglip_loss': '0.3929', 'epoch': '0.2552'} + 79%|███████████████████████▋ | 7095/9000 [6:07:17<1:43:30, 3.26s/it][Dataset] cur_step=7096 phase=D_mixed_covt +[Dataset] cur_step=7096 phase=D_mixed_covt +[Dataset] cur_step=7096 phase=D_mixed_covt[Dataset] cur_step=7096 phase=D_mixed_covt + + 79%|███████████████████████▋ | 7096/9000 [6:07:17<1:27:39, 2.76s/it][Dataset] cur_step=7096 phase=D_mixed_covt[Dataset] cur_step=7096 phase=D_mixed_covt + +[Dataset] cur_step=7096 phase=D_mixed_covt +[Dataset] cur_step=7096 phase=D_mixed_covt + {'loss': '2.994', 'grad_norm': '4.53', 'learning_rate': '5.873e-06', 'epoch': '0.2553'} + 79%|███████████████████████▋ | 7096/9000 [6:07:17<1:27:39, 2.76s/it] {'lm_loss': '0.1097', 'visual_loss': '3.073', 'seg_loss': '0.7633', 'dino_loss': '0.9152', 'depth_loss': '0.4051', 'vggt_mse_loss': '0.4021', 'vggt_cos_loss': '0.03092', 'pidinet_loss': '0.1977', 'siglip_loss': '0.7913', 'epoch': '0.2553'} + 79%|███████████████████████▋ | 7096/9000 [6:07:20<1:27:39, 2.76s/it][Dataset] cur_step=7097 phase=D_mixed_covt +[Dataset] cur_step=7097 phase=D_mixed_covt[Dataset] cur_step=7097 phase=D_mixed_covt[Dataset] cur_step=7097 phase=D_mixed_covt + +[Dataset] cur_step=7097 phase=D_mixed_covt[Dataset] cur_step=7097 phase=D_mixed_covt + +[Dataset] cur_step=7097 phase=D_mixed_covt +[Dataset] cur_step=7097 phase=D_mixed_covt + + 79%|███████████████████████▋ | 7097/9000 [6:07:20<1:26:59, 2.74s/it] {'loss': '3.493', 'grad_norm': '3.741', 'learning_rate': '5.867e-06', 'epoch': '0.2553'} + 79%|███████████████████████▋ | 7097/9000 [6:07:20<1:26:59, 2.74s/it] {'lm_loss': '0.8495', 'visual_loss': '2.408', 'seg_loss': '0.7286', 'dino_loss': '0.9097', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.1741', 'siglip_loss': '0.5957', 'epoch': '0.2553'} + 79%|███████████████████████▋ | 7097/9000 [6:07:22<1:26:59, 2.74s/it][Dataset] cur_step=7098 phase=D_mixed_covt +[Dataset] cur_step=7098 phase=D_mixed_covt[Dataset] cur_step=7098 phase=D_mixed_covt + +[Dataset] cur_step=7098 phase=D_mixed_covt[Dataset] cur_step=7098 phase=D_mixed_covt + +[Dataset] cur_step=7098 phase=D_mixed_covt +[Dataset] cur_step=7098 phase=D_mixed_covt[Dataset] cur_step=7098 phase=D_mixed_covt + + 79%|███████████████████████▋ | 7098/9000 [6:07:23<1:24:42, 2.67s/it] {'loss': '3.111', 'grad_norm': '3.133', 'learning_rate': '5.861e-06', 'epoch': '0.2554'} + 79%|███████████████████████▋ | 7098/9000 [6:07:23<1:24:42, 2.67s/it] {'lm_loss': '0.3931', 'visual_loss': '2.223', 'seg_loss': '0.8054', 'dino_loss': '0.9389', 'depth_loss': '0.234', 'vggt_mse_loss': '0.2321', 'vggt_cos_loss': '0.01916', 'pidinet_loss': '0.245', 'siglip_loss': '0', 'epoch': '0.2554'} + 79%|███████████████████████▋ | 7098/9000 [6:07:24<1:24:42, 2.67s/it][Dataset] cur_step=7099 phase=D_mixed_covt +[Dataset] cur_step=7099 phase=D_mixed_covt +[Dataset] cur_step=7099 phase=D_mixed_covt[Dataset] cur_step=7099 phase=D_mixed_covt + + 79%|███████████████████████▋ | 7099/9000 [6:07:25<1:19:39, 2.51s/it][Dataset] cur_step=7099 phase=D_mixed_covt +[Dataset] cur_step=7099 phase=D_mixed_covt +[Dataset] cur_step=7099 phase=D_mixed_covt +[Dataset] cur_step=7099 phase=D_mixed_covt + {'loss': '2.933', 'grad_norm': '5.636', 'learning_rate': '5.855e-06', 'epoch': '0.2554'} + 79%|███████████████████████▋ | 7099/9000 [6:07:25<1:19:39, 2.51s/it] {'lm_loss': '1.044', 'visual_loss': '2.945', 'seg_loss': '0.7195', 'dino_loss': '0.938', 'depth_loss': '0.3945', 'vggt_mse_loss': '0.3914', 'vggt_cos_loss': '0.03052', 'pidinet_loss': '0.2752', 'siglip_loss': '0.6183', 'epoch': '0.2554'} + 79%|███████████████████████▋ | 7099/9000 [6:07:27<1:19:39, 2.51s/it][Dataset] cur_step=7100 phase=D_mixed_covt +[Dataset] cur_step=7100 phase=D_mixed_covt +[Dataset] cur_step=7100 phase=D_mixed_covt[Dataset] cur_step=7100 phase=D_mixed_covt +[Dataset] cur_step=7100 phase=D_mixed_covt + +[Dataset] cur_step=7100 phase=D_mixed_covt[Dataset] cur_step=7100 phase=D_mixed_covt + +[Dataset] cur_step=7100 phase=D_mixed_covt + 79%|███████████████████████▋ | 7100/9000 [6:07:28<1:25:42, 2.71s/it] {'loss': '3.272', 'grad_norm': '8.873', 'learning_rate': '5.849e-06', 'epoch': '0.2554'} + 79%|███████████████████████▋ | 7100/9000 [6:07:28<1:25:42, 2.71s/it] {'lm_loss': '0.493', 'visual_loss': '2.858', 'seg_loss': '0.833', 'dino_loss': '0.9325', 'depth_loss': '0.2411', 'vggt_mse_loss': '0.2397', 'vggt_cos_loss': '0.01345', 'pidinet_loss': '0.2503', 'siglip_loss': '0.6009', 'epoch': '0.2554'} + 79%|███████████████████████▋ | 7100/9000 [6:07:30<1:25:42, 2.71s/it][Dataset] cur_step=7101 phase=D_mixed_covt +[Dataset] cur_step=7101 phase=D_mixed_covt +[Dataset] cur_step=7101 phase=D_mixed_covt[Dataset] cur_step=7101 phase=D_mixed_covt + + 79%|███████████████████████▋ | 7101/9000 [6:07:31<1:25:55, 2.72s/it][Dataset] cur_step=7101 phase=D_mixed_covt +[Dataset] cur_step=7101 phase=D_mixed_covt[Dataset] cur_step=7101 phase=D_mixed_covt + +[Dataset] cur_step=7101 phase=D_mixed_covt + {'loss': '3.072', 'grad_norm': '3.737', 'learning_rate': '5.843e-06', 'epoch': '0.2555'} + 79%|███████████████████████▋ | 7101/9000 [6:07:31<1:25:55, 2.72s/it] {'lm_loss': '0.5835', 'visual_loss': '2.614', 'seg_loss': '0.7128', 'dino_loss': '0.9332', 'depth_loss': '0.2692', 'vggt_mse_loss': '0.2677', 'vggt_cos_loss': '0.01497', 'pidinet_loss': '0.2165', 'siglip_loss': '0.4822', 'epoch': '0.2555'} + 79%|███████████████████████▋ | 7101/9000 [6:07:34<1:25:55, 2.72s/it][Dataset] cur_step=7102 phase=D_mixed_covt +[Dataset] cur_step=7102 phase=D_mixed_covt +[Dataset] cur_step=7102 phase=D_mixed_covt[Dataset] cur_step=7102 phase=D_mixed_covt + +[Dataset] cur_step=7102 phase=D_mixed_covt +[Dataset] cur_step=7102 phase=D_mixed_covt + 79%|███████████████████████▋ | 7102/9000 [6:07:34<1:31:16, 2.89s/it][Dataset] cur_step=7102 phase=D_mixed_covt +[Dataset] cur_step=7102 phase=D_mixed_covt + {'loss': '3.396', 'grad_norm': '4.782', 'learning_rate': '5.837e-06', 'epoch': '0.2555'} + 79%|███████████████████████▋ | 7102/9000 [6:07:34<1:31:16, 2.89s/it] {'lm_loss': '1.096', 'visual_loss': '2.614', 'seg_loss': '0.7417', 'dino_loss': '0.8905', 'depth_loss': '0.25', 'vggt_mse_loss': '0.2484', 'vggt_cos_loss': '0.01622', 'pidinet_loss': '0.24', 'siglip_loss': '0.4915', 'epoch': '0.2555'} + 79%|███████████████████████▋ | 7102/9000 [6:07:37<1:31:16, 2.89s/it][Dataset] cur_step=7103 phase=D_mixed_covt +[Dataset] cur_step=7103 phase=D_mixed_covt +[Dataset] cur_step=7103 phase=D_mixed_covt + 79%|███████████████████████▋ | 7103/9000 [6:07:39<1:46:23, 3.37s/it][Dataset] cur_step=7103 phase=D_mixed_covt +[Dataset] cur_step=7103 phase=D_mixed_covt[Dataset] cur_step=7103 phase=D_mixed_covt[Dataset] cur_step=7103 phase=D_mixed_covt + + +[Dataset] cur_step=7103 phase=D_mixed_covt + {'loss': '3.489', 'grad_norm': '3.135', 'learning_rate': '5.831e-06', 'epoch': '0.2555'} + 79%|███████████████████████▋ | 7103/9000 [6:07:39<1:46:23, 3.37s/it] {'lm_loss': '0.7501', 'visual_loss': '1.951', 'seg_loss': '0', 'dino_loss': '0.8793', 'depth_loss': '0.1836', 'vggt_mse_loss': '0.1824', 'vggt_cos_loss': '0.01196', 'pidinet_loss': '0.1636', 'siglip_loss': '0.7239', 'epoch': '0.2555'} + 79%|███████████████████████▋ | 7103/9000 [6:07:39<1:46:23, 3.37s/it][Dataset] cur_step=7104 phase=D_mixed_covt +[Dataset] cur_step=7104 phase=D_mixed_covt +[Dataset] cur_step=7104 phase=D_mixed_covt[Dataset] cur_step=7104 phase=D_mixed_covt + +[Dataset] cur_step=7104 phase=D_mixed_covt +[Dataset] cur_step=7104 phase=D_mixed_covt + 79%|███████████████████████▋ | 7104/9000 [6:07:40<1:25:28, 2.70s/it][Dataset] cur_step=7104 phase=D_mixed_covt +[Dataset] cur_step=7104 phase=D_mixed_covt + {'loss': '2.743', 'grad_norm': '8.29', 'learning_rate': '5.825e-06', 'epoch': '0.2556'} + 79%|███████████████████████▋ | 7104/9000 [6:07:40<1:25:28, 2.70s/it] {'lm_loss': '0.4704', 'visual_loss': '2.812', 'seg_loss': '0.7358', 'dino_loss': '0.9067', 'depth_loss': '0.3749', 'vggt_mse_loss': '0.372', 'vggt_cos_loss': '0.02939', 'pidinet_loss': '0.2136', 'siglip_loss': '0.5805', 'epoch': '0.2556'} + 79%|███████████████████████▋ | 7104/9000 [6:07:42<1:25:28, 2.70s/it][Dataset] cur_step=7105 phase=D_mixed_covt +[Dataset] cur_step=7105 phase=D_mixed_covt +[Dataset] cur_step=7105 phase=D_mixed_covt +[Dataset] cur_step=7105 phase=D_mixed_covt +[Dataset] cur_step=7105 phase=D_mixed_covt[Dataset] cur_step=7105 phase=D_mixed_covt + + 79%|███████████████████████▋ | 7105/9000 [6:07:42<1:25:32, 2.71s/it][Dataset] cur_step=7105 phase=D_mixed_covt +[Dataset] cur_step=7105 phase=D_mixed_covt + {'loss': '3.282', 'grad_norm': '3.827', 'learning_rate': '5.819e-06', 'epoch': '0.2556'} + 79%|███████████████████████▋ | 7105/9000 [6:07:42<1:25:32, 2.71s/it] {'lm_loss': '0.6683', 'visual_loss': '2.835', 'seg_loss': '0.6556', 'dino_loss': '0.9466', 'depth_loss': '0.4708', 'vggt_mse_loss': '0.4662', 'vggt_cos_loss': '0.04651', 'pidinet_loss': '0.2163', 'siglip_loss': '0.5459', 'epoch': '0.2556'} + 79%|███████████████████████▋ | 7105/9000 [6:07:45<1:25:32, 2.71s/it][Dataset] cur_step=7106 phase=D_mixed_covt + 79%|███████████████████████▋ | 7106/9000 [6:07:45<1:23:39, 2.65s/it][Dataset] cur_step=7106 phase=D_mixed_covt[Dataset] cur_step=7106 phase=D_mixed_covt[Dataset] cur_step=7106 phase=D_mixed_covt + + +[Dataset] cur_step=7106 phase=D_mixed_covt +[Dataset] cur_step=7106 phase=D_mixed_covt +[Dataset] cur_step=7106 phase=D_mixed_covt +[Dataset] cur_step=7106 phase=D_mixed_covt + {'loss': '3.134', 'grad_norm': '10.77', 'learning_rate': '5.814e-06', 'epoch': '0.2556'} + 79%|███████████████████████▋ | 7106/9000 [6:07:45<1:23:39, 2.65s/it] {'lm_loss': '0.6799', 'visual_loss': '2.943', 'seg_loss': '0.9938', 'dino_loss': '0.8402', 'depth_loss': '0.2333', 'vggt_mse_loss': '0.2315', 'vggt_cos_loss': '0.01742', 'pidinet_loss': '0.2586', 'siglip_loss': '0.6167', 'epoch': '0.2556'} + 79%|███████████████████████▋ | 7106/9000 [6:07:46<1:23:39, 2.65s/it][Dataset] cur_step=7107 phase=D_mixed_covt[Dataset] cur_step=7107 phase=D_mixed_covt + +[Dataset] cur_step=7107 phase=D_mixed_covt +[Dataset] cur_step=7107 phase=D_mixed_covt[Dataset] cur_step=7107 phase=D_mixed_covt + +[Dataset] cur_step=7107 phase=D_mixed_covt +[Dataset] cur_step=7107 phase=D_mixed_covt 79%|███████████████████████▋ | 7107/9000 [6:07:47<1:19:57, 2.53s/it] +[Dataset] cur_step=7107 phase=D_mixed_covt + {'loss': '3.561', 'grad_norm': '4.472', 'learning_rate': '5.808e-06', 'epoch': '0.2557'} + 79%|███████████████████████▋ | 7107/9000 [6:07:47<1:19:57, 2.53s/it] {'lm_loss': '1.202', 'visual_loss': '2.882', 'seg_loss': '0.7894', 'dino_loss': '0.9226', 'depth_loss': '0.1835', 'vggt_mse_loss': '0.1821', 'vggt_cos_loss': '0.01379', 'pidinet_loss': '0.2786', 'siglip_loss': '0.7082', 'epoch': '0.2557'} + 79%|███████████████████████▋ | 7107/9000 [6:07:49<1:19:57, 2.53s/it][Dataset] cur_step=7108 phase=D_mixed_covt +[Dataset] cur_step=7108 phase=D_mixed_covt +[Dataset] cur_step=7108 phase=D_mixed_covt +[Dataset] cur_step=7108 phase=D_mixed_covt[Dataset] cur_step=7108 phase=D_mixed_covt + +[Dataset] cur_step=7108 phase=D_mixed_covt + 79%|███████████████████████▋ | 7108/9000 [6:07:50<1:19:43, 2.53s/it][Dataset] cur_step=7108 phase=D_mixed_covt +[Dataset] cur_step=7108 phase=D_mixed_covt + {'loss': '3.653', 'grad_norm': '3.874', 'learning_rate': '5.802e-06', 'epoch': '0.2557'} + 79%|███████████████████████▋ | 7108/9000 [6:07:50<1:19:43, 2.53s/it] {'lm_loss': '0.1558', 'visual_loss': '2.177', 'seg_loss': '0', 'dino_loss': '0.9517', 'depth_loss': '0.4755', 'vggt_mse_loss': '0.4722', 'vggt_cos_loss': '0.03285', 'pidinet_loss': '0.236', 'siglip_loss': '0.5136', 'epoch': '0.2557'} + 79%|███████████████████████▋ | 7108/9000 [6:07:50<1:19:43, 2.53s/it][Dataset] cur_step=7109 phase=D_mixed_covt +[Dataset] cur_step=7109 phase=D_mixed_covt +[Dataset] cur_step=7109 phase=D_mixed_covt +[Dataset] cur_step=7109 phase=D_mixed_covt +[Dataset] cur_step=7109 phase=D_mixed_covt +[Dataset] cur_step=7109 phase=D_mixed_covt +[Dataset] cur_step=7109 phase=D_mixed_covt +[Dataset] cur_step=7109 phase=D_mixed_covt + 79%|███████████████████████▋ | 7109/9000 [6:07:51<1:06:14, 2.10s/it] {'loss': '2.529', 'grad_norm': '4.197', 'learning_rate': '5.796e-06', 'epoch': '0.2557'} + 79%|███████████████████████▋ | 7109/9000 [6:07:51<1:06:14, 2.10s/it] {'lm_loss': '0.7532', 'visual_loss': '2.094', 'seg_loss': '0.4573', 'dino_loss': '0.8963', 'depth_loss': '0.3314', 'vggt_mse_loss': '0.3289', 'vggt_cos_loss': '0.02521', 'pidinet_loss': '0.08314', 'siglip_loss': '0.3263', 'epoch': '0.2557'} + 79%|███████████████████████▋ | 7109/9000 [6:07:53<1:06:14, 2.10s/it][Dataset] cur_step=7110 phase=D_mixed_covt +[Dataset] cur_step=7110 phase=D_mixed_covt +[Dataset] cur_step=7110 phase=D_mixed_covt[Dataset] cur_step=7110 phase=D_mixed_covt + +[Dataset] cur_step=7110 phase=D_mixed_covt + 79%|███████████████████████▋ | 7110/9000 [6:07:54<1:14:10, 2.35s/it][Dataset] cur_step=7110 phase=D_mixed_covt +[Dataset] cur_step=7110 phase=D_mixed_covt +[Dataset] cur_step=7110 phase=D_mixed_covt + {'loss': '3.129', 'grad_norm': '4.609', 'learning_rate': '5.79e-06', 'epoch': '0.2558'} + 79%|███████████████████████▋ | 7110/9000 [6:07:54<1:14:10, 2.35s/it] {'lm_loss': '0.8327', 'visual_loss': '2.528', 'seg_loss': '0.7296', 'dino_loss': '0.8943', 'depth_loss': '0.2517', 'vggt_mse_loss': '0.2497', 'vggt_cos_loss': '0.02019', 'pidinet_loss': '0.142', 'siglip_loss': '0.5104', 'epoch': '0.2558'} + 79%|███████████████████████▋ | 7110/9000 [6:07:55<1:14:10, 2.35s/it][Dataset] cur_step=7111 phase=D_mixed_covt +[Dataset] cur_step=7111 phase=D_mixed_covt[Dataset] cur_step=7111 phase=D_mixed_covt + +[Dataset] cur_step=7111 phase=D_mixed_covt[Dataset] cur_step=7111 phase=D_mixed_covt +[Dataset] cur_step=7111 phase=D_mixed_covt +[Dataset] cur_step=7111 phase=D_mixed_covt + + 79%|███████████████████████▋ | 7111/9000 [6:07:56<1:10:41, 2.25s/it][Dataset] cur_step=7111 phase=D_mixed_covt + {'loss': '3.533', 'grad_norm': '4.646', 'learning_rate': '5.784e-06', 'epoch': '0.2558'} + 79%|███████████████████████▋ | 7111/9000 [6:07:56<1:10:41, 2.25s/it] {'lm_loss': '0.5503', 'visual_loss': '2.492', 'seg_loss': '0.5857', 'dino_loss': '0.9178', 'depth_loss': '0.197', 'vggt_mse_loss': '0.196', 'vggt_cos_loss': '0.01047', 'pidinet_loss': '0.2018', 'siglip_loss': '0.5897', 'epoch': '0.2558'} + 79%|███████████████████████▋ | 7111/9000 [6:07:59<1:10:41, 2.25s/it][Dataset] cur_step=7112 phase=D_mixed_covt +[Dataset] cur_step=7112 phase=D_mixed_covt +[Dataset] cur_step=7112 phase=D_mixed_covt +[Dataset] cur_step=7112 phase=D_mixed_covt 79%|███████████████████████▋ | 7112/9000 [6:07:59<1:22:50, 2.63s/it] +[Dataset] cur_step=7112 phase=D_mixed_covt +[Dataset] cur_step=7112 phase=D_mixed_covt +[Dataset] cur_step=7112 phase=D_mixed_covt[Dataset] cur_step=7112 phase=D_mixed_covt + + {'loss': '3.339', 'grad_norm': '7.274', 'learning_rate': '5.778e-06', 'epoch': '0.2559'} + 79%|███████████████████████▋ | 7112/9000 [6:07:59<1:22:50, 2.63s/it] {'lm_loss': '0.9187', 'visual_loss': '2.725', 'seg_loss': '0.8723', 'dino_loss': '0.9357', 'depth_loss': '0.2111', 'vggt_mse_loss': '0.2097', 'vggt_cos_loss': '0.01428', 'pidinet_loss': '0.2051', 'siglip_loss': '0.5007', 'epoch': '0.2559'} + 79%|███████████████████████▋ | 7112/9000 [6:08:02<1:22:50, 2.63s/it][Dataset] cur_step=7113 phase=D_mixed_covt +[Dataset] cur_step=7113 phase=D_mixed_covt +[Dataset] cur_step=7113 phase=D_mixed_covt[Dataset] cur_step=7113 phase=D_mixed_covt + +[Dataset] cur_step=7113 phase=D_mixed_covt +[Dataset] cur_step=7113 phase=D_mixed_covt[Dataset] cur_step=7113 phase=D_mixed_covt + + 79%|███████████████████████▋ | 7113/9000 [6:08:02<1:26:26, 2.75s/it][Dataset] cur_step=7113 phase=D_mixed_covt + {'loss': '3.268', 'grad_norm': '3.05', 'learning_rate': '5.772e-06', 'epoch': '0.2559'} + 79%|███████████████████████▋ | 7113/9000 [6:08:02<1:26:26, 2.75s/it] {'lm_loss': '0.6137', 'visual_loss': '2.331', 'seg_loss': '0.4871', 'dino_loss': '0.913', 'depth_loss': '0.2105', 'vggt_mse_loss': '0.2091', 'vggt_cos_loss': '0.01345', 'pidinet_loss': '0.2278', 'siglip_loss': '0.4923', 'epoch': '0.2559'} + 79%|███████████████████████▋ | 7113/9000 [6:08:04<1:26:26, 2.75s/it][Dataset] cur_step=7114 phase=D_mixed_covt[Dataset] cur_step=7114 phase=D_mixed_covt + +[Dataset] cur_step=7114 phase=D_mixed_covt +[Dataset] cur_step=7114 phase=D_mixed_covt +[Dataset] cur_step=7114 phase=D_mixed_covt +[Dataset] cur_step=7114 phase=D_mixed_covt 79%|███████████████████████▋ | 7114/9000 [6:08:05<1:21:55, 2.61s/it] +[Dataset] cur_step=7114 phase=D_mixed_covt +[Dataset] cur_step=7114 phase=D_mixed_covt + {'loss': '3.281', 'grad_norm': '4.128', 'learning_rate': '5.766e-06', 'epoch': '0.2559'} + 79%|███████████████████████▋ | 7114/9000 [6:08:05<1:21:55, 2.61s/it] {'lm_loss': '0.6364', 'visual_loss': '2.847', 'seg_loss': '0.7754', 'dino_loss': '0.903', 'depth_loss': '0.266', 'vggt_mse_loss': '0.2642', 'vggt_cos_loss': '0.01788', 'pidinet_loss': '0.274', 'siglip_loss': '0.6284', 'epoch': '0.2559'} + 79%|███████████████████████▋ | 7114/9000 [6:08:08<1:21:55, 2.61s/it][Dataset] cur_step=7115 phase=D_mixed_covt +[Dataset] cur_step=7115 phase=D_mixed_covt +[Dataset] cur_step=7115 phase=D_mixed_covt +[Dataset] cur_step=7115 phase=D_mixed_covt +[Dataset] cur_step=7115 phase=D_mixed_covt[Dataset] cur_step=7115 phase=D_mixed_covt + +[Dataset] cur_step=7115 phase=D_mixed_covt +[Dataset] cur_step=7115 phase=D_mixed_covt + 79%|███████████████████████▋ | 7115/9000 [6:08:08<1:34:10, 3.00s/it] {'loss': '3.454', 'grad_norm': '2.864', 'learning_rate': '5.761e-06', 'epoch': '0.256'} + 79%|███████████████████████▋ | 7115/9000 [6:08:08<1:34:10, 3.00s/it] {'lm_loss': '0.5337', 'visual_loss': '2.133', 'seg_loss': '0.5641', 'dino_loss': '0.88', 'depth_loss': '0.1743', 'vggt_mse_loss': '0.1733', 'vggt_cos_loss': '0.01041', 'pidinet_loss': '0.08127', 'siglip_loss': '0.433', 'epoch': '0.256'} + 79%|███████████████████████▋ | 7115/9000 [6:08:11<1:34:10, 3.00s/it][Dataset] cur_step=7116 phase=D_mixed_covt +[Dataset] cur_step=7116 phase=D_mixed_covt +[Dataset] cur_step=7116 phase=D_mixed_covt +[Dataset] cur_step=7116 phase=D_mixed_covt[Dataset] cur_step=7116 phase=D_mixed_covt + +[Dataset] cur_step=7116 phase=D_mixed_covt +[Dataset] cur_step=7116 phase=D_mixed_covt +[Dataset] cur_step=7116 phase=D_mixed_covt + 79%|███████████████████████▋ | 7116/9000 [6:08:12<1:38:34, 3.14s/it] {'loss': '3.378', 'grad_norm': '3.173', 'learning_rate': '5.755e-06', 'epoch': '0.256'} + 79%|███████████████████████▋ | 7116/9000 [6:08:12<1:38:34, 3.14s/it] {'lm_loss': '0.2661', 'visual_loss': '2.724', 'seg_loss': '0.6903', 'dino_loss': '0.9362', 'depth_loss': '0.2372', 'vggt_mse_loss': '0.2352', 'vggt_cos_loss': '0.02019', 'pidinet_loss': '0.2547', 'siglip_loss': '0.6059', 'epoch': '0.256'} + 79%|███████████████████████▋ | 7116/9000 [6:08:15<1:38:34, 3.14s/it][Dataset] cur_step=7117 phase=D_mixed_covt[Dataset] cur_step=7117 phase=D_mixed_covt + +[Dataset] cur_step=7117 phase=D_mixed_covt +[Dataset] cur_step=7117 phase=D_mixed_covt[Dataset] cur_step=7117 phase=D_mixed_covt + + 79%|███████████████████████▋ | 7117/9000 [6:08:16<1:45:06, 3.35s/it][Dataset] cur_step=7117 phase=D_mixed_covt +[Dataset] cur_step=7117 phase=D_mixed_covt +[Dataset] cur_step=7117 phase=D_mixed_covt + {'loss': '3.425', 'grad_norm': '3.578', 'learning_rate': '5.749e-06', 'epoch': '0.256'} + 79%|███████████████████████▋ | 7117/9000 [6:08:16<1:45:06, 3.35s/it] {'lm_loss': '0.7008', 'visual_loss': '2.417', 'seg_loss': '0.6888', 'dino_loss': '0.874', 'depth_loss': '0.1739', 'vggt_mse_loss': '0.1727', 'vggt_cos_loss': '0.01177', 'pidinet_loss': '0.284', 'siglip_loss': '0.3964', 'epoch': '0.256'} + 79%|███████████████████████▋ | 7117/9000 [6:08:17<1:45:06, 3.35s/it][Dataset] cur_step=7118 phase=D_mixed_covt +[Dataset] cur_step=7118 phase=D_mixed_covt +[Dataset] cur_step=7118 phase=D_mixed_covt[Dataset] cur_step=7118 phase=D_mixed_covt + +[Dataset] cur_step=7118 phase=D_mixed_covt[Dataset] cur_step=7118 phase=D_mixed_covt + +[Dataset] cur_step=7118 phase=D_mixed_covt 79%|███████████████████████▋ | 7118/9000 [6:08:18<1:31:55, 2.93s/it] +[Dataset] cur_step=7118 phase=D_mixed_covt + {'loss': '3.484', 'grad_norm': '3.243', 'learning_rate': '5.743e-06', 'epoch': '0.2561'} + 79%|███████████████████████▋ | 7118/9000 [6:08:18<1:31:55, 2.93s/it] {'lm_loss': '0.6718', 'visual_loss': '2.861', 'seg_loss': '0.7653', 'dino_loss': '0.9173', 'depth_loss': '0.294', 'vggt_mse_loss': '0.2913', 'vggt_cos_loss': '0.0271', 'pidinet_loss': '0.2232', 'siglip_loss': '0.6616', 'epoch': '0.2561'} + 79%|███████████████████████▋ | 7118/9000 [6:08:20<1:31:55, 2.93s/it][Dataset] cur_step=7119 phase=D_mixed_covt[Dataset] cur_step=7119 phase=D_mixed_covt +[Dataset] cur_step=7119 phase=D_mixed_covt + +[Dataset] cur_step=7119 phase=D_mixed_covt[Dataset] cur_step=7119 phase=D_mixed_covt[Dataset] cur_step=7119 phase=D_mixed_covt[Dataset] cur_step=7119 phase=D_mixed_covt + + + + 79%|███████████████████████▋ | 7119/9000 [6:08:21<1:34:40, 3.02s/it][Dataset] cur_step=7119 phase=D_mixed_covt + {'loss': '3.272', 'grad_norm': '2.285', 'learning_rate': '5.737e-06', 'epoch': '0.2561'} + 79%|███████████████████████▋ | 7119/9000 [6:08:21<1:34:40, 3.02s/it] {'lm_loss': '0.867', 'visual_loss': '2.595', 'seg_loss': '0.7545', 'dino_loss': '0.9137', 'depth_loss': '0.189', 'vggt_mse_loss': '0.1876', 'vggt_cos_loss': '0.01432', 'pidinet_loss': '0.2074', 'siglip_loss': '0.5299', 'epoch': '0.2561'} + 79%|███████████████████████▋ | 7119/9000 [6:08:23<1:34:40, 3.02s/it][Dataset] cur_step=7120 phase=D_mixed_covt +[Dataset] cur_step=7120 phase=D_mixed_covt +[Dataset] cur_step=7120 phase=D_mixed_covt[Dataset] cur_step=7120 phase=D_mixed_covt + +[Dataset] cur_step=7120 phase=D_mixed_covt +[Dataset] cur_step=7120 phase=D_mixed_covt +[Dataset] cur_step=7120 phase=D_mixed_covt 79%|███████████████████████▋ | 7120/9000 [6:08:24<1:35:40, 3.05s/it] +[Dataset] cur_step=7120 phase=D_mixed_covt + {'loss': '3.464', 'grad_norm': '3.998', 'learning_rate': '5.731e-06', 'epoch': '0.2561'} + 79%|███████████████████████▋ | 7120/9000 [6:08:24<1:35:40, 3.05s/it] {'lm_loss': '0.3414', 'visual_loss': '2.815', 'seg_loss': '0.6486', 'dino_loss': '0.9083', 'depth_loss': '0.3664', 'vggt_mse_loss': '0.364', 'vggt_cos_loss': '0.02478', 'pidinet_loss': '0.1911', 'siglip_loss': '0.7009', 'epoch': '0.2561'} + 79%|███████████████████████▋ | 7120/9000 [6:08:26<1:35:40, 3.05s/it][Dataset] cur_step=7121 phase=D_mixed_covt +[Dataset] cur_step=7121 phase=D_mixed_covt +[Dataset] cur_step=7121 phase=D_mixed_covt[Dataset] cur_step=7121 phase=D_mixed_covt + +[Dataset] cur_step=7121 phase=D_mixed_covt + 79%|███████████████████████▋ | 7121/9000 [6:08:27<1:33:27, 2.98s/it][Dataset] cur_step=7121 phase=D_mixed_covt +[Dataset] cur_step=7121 phase=D_mixed_covt +[Dataset] cur_step=7121 phase=D_mixed_covt + {'loss': '3.358', 'grad_norm': '2.931', 'learning_rate': '5.725e-06', 'epoch': '0.2562'} + 79%|███████████████████████▋ | 7121/9000 [6:08:27<1:33:27, 2.98s/it] {'lm_loss': '0.06377', 'visual_loss': '2.765', 'seg_loss': '0.7664', 'dino_loss': '0.9437', 'depth_loss': '0.3651', 'vggt_mse_loss': '0.3619', 'vggt_cos_loss': '0.03206', 'pidinet_loss': '0.2726', 'siglip_loss': '0.4167', 'epoch': '0.2562'} + 79%|███████████████████████▋ | 7121/9000 [6:08:29<1:33:27, 2.98s/it][Dataset] cur_step=7122 phase=D_mixed_covt[Dataset] cur_step=7122 phase=D_mixed_covt + +[Dataset] cur_step=7122 phase=D_mixed_covt[Dataset] cur_step=7122 phase=D_mixed_covt +[Dataset] cur_step=7122 phase=D_mixed_covt + +[Dataset] cur_step=7122 phase=D_mixed_covt +[Dataset] cur_step=7122 phase=D_mixed_covt[Dataset] cur_step=7122 phase=D_mixed_covt + + 79%|███████████████████████▋ | 7122/9000 [6:08:31<1:39:13, 3.17s/it] {'loss': '3.293', 'grad_norm': '2.787', 'learning_rate': '5.72e-06', 'epoch': '0.2562'} + 79%|███████████████████████▋ | 7122/9000 [6:08:31<1:39:13, 3.17s/it] {'lm_loss': '0.539', 'visual_loss': '1.462', 'seg_loss': '0', 'dino_loss': '0.9346', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.1658', 'siglip_loss': '0.3615', 'epoch': '0.2562'} + 79%|███████████████████████▋ | 7122/9000 [6:08:31<1:39:13, 3.17s/it][Dataset] cur_step=7123 phase=D_mixed_covt[Dataset] cur_step=7123 phase=D_mixed_covt[Dataset] cur_step=7123 phase=D_mixed_covt[Dataset] cur_step=7123 phase=D_mixed_covt + + + +[Dataset] cur_step=7123 phase=D_mixed_covt 79%|███████████████████████▋ | 7123/9000 [6:08:31<1:17:46, 2.49s/it] +[Dataset] cur_step=7123 phase=D_mixed_covt +[Dataset] cur_step=7123 phase=D_mixed_covt +[Dataset] cur_step=7123 phase=D_mixed_covt + {'loss': '2.439', 'grad_norm': '3.549', 'learning_rate': '5.714e-06', 'epoch': '0.2563'} + 79%|███████████████████████▋ | 7123/9000 [6:08:31<1:17:46, 2.49s/it] {'lm_loss': '1.06', 'visual_loss': '2.416', 'seg_loss': '0.6405', 'dino_loss': '0.884', 'depth_loss': '0.2069', 'vggt_mse_loss': '0.2056', 'vggt_cos_loss': '0.0123', 'pidinet_loss': '0.1692', 'siglip_loss': '0.5154', 'epoch': '0.2563'} + 79%|███████████████████████▋ | 7123/9000 [6:08:34<1:17:46, 2.49s/it][Dataset] cur_step=7124 phase=D_mixed_covt[Dataset] cur_step=7124 phase=D_mixed_covt + + 79%|███████████████████████▋ | 7124/9000 [6:08:34<1:19:50, 2.55s/it][Dataset] cur_step=7124 phase=D_mixed_covt[Dataset] cur_step=7124 phase=D_mixed_covt[Dataset] cur_step=7124 phase=D_mixed_covt + + +[Dataset] cur_step=7124 phase=D_mixed_covt +[Dataset] cur_step=7124 phase=D_mixed_covt +[Dataset] cur_step=7124 phase=D_mixed_covt + {'loss': '3.256', 'grad_norm': '2.921', 'learning_rate': '5.708e-06', 'epoch': '0.2563'} + 79%|███████████████████████▋ | 7124/9000 [6:08:34<1:19:50, 2.55s/it] {'lm_loss': '0.7186', 'visual_loss': '2.594', 'seg_loss': '0.6396', 'dino_loss': '0.9228', 'depth_loss': '0.1563', 'vggt_mse_loss': '0.1552', 'vggt_cos_loss': '0.01034', 'pidinet_loss': '0.2739', 'siglip_loss': '0.6012', 'epoch': '0.2563'} + 79%|███████████████████████▋ | 7124/9000 [6:08:35<1:19:50, 2.55s/it][Dataset] cur_step=7125 phase=D_mixed_covt +[Dataset] cur_step=7125 phase=D_mixed_covt +[Dataset] cur_step=7125 phase=D_mixed_covt +[Dataset] cur_step=7125 phase=D_mixed_covt[Dataset] cur_step=7125 phase=D_mixed_covt + +[Dataset] cur_step=7125 phase=D_mixed_covt +[Dataset] cur_step=7125 phase=D_mixed_covt + 79%|███████████████████████▊ | 7125/9000 [6:08:36<1:14:35, 2.39s/it][Dataset] cur_step=7125 phase=D_mixed_covt + {'loss': '3.355', 'grad_norm': '3.07', 'learning_rate': '5.702e-06', 'epoch': '0.2563'} + 79%|███████████████████████▊ | 7125/9000 [6:08:36<1:14:35, 2.39s/it] {'lm_loss': '0.3799', 'visual_loss': '2.482', 'seg_loss': '0.7727', 'dino_loss': '0.9181', 'depth_loss': '0.2485', 'vggt_mse_loss': '0.2466', 'vggt_cos_loss': '0.01863', 'pidinet_loss': '0.211', 'siglip_loss': '0.3321', 'epoch': '0.2563'} + 79%|███████████████████████▊ | 7125/9000 [6:08:38<1:14:35, 2.39s/it][Dataset] cur_step=7126 phase=D_mixed_covt +[Dataset] cur_step=7126 phase=D_mixed_covt[Dataset] cur_step=7126 phase=D_mixed_covt[Dataset] cur_step=7126 phase=D_mixed_covt + + +[Dataset] cur_step=7126 phase=D_mixed_covt +[Dataset] cur_step=7126 phase=D_mixed_covt +[Dataset] cur_step=7126 phase=D_mixed_covt +[Dataset] cur_step=7126 phase=D_mixed_covt + 79%|███████████████████████▊ | 7126/9000 [6:08:39<1:15:46, 2.43s/it] {'loss': '3.27', 'grad_norm': '3.541', 'learning_rate': '5.696e-06', 'epoch': '0.2564'} + 79%|███████████████████████▊ | 7126/9000 [6:08:39<1:15:46, 2.43s/it] {'lm_loss': '0.665', 'visual_loss': '2.837', 'seg_loss': '0.8857', 'dino_loss': '0.9207', 'depth_loss': '0.2749', 'vggt_mse_loss': '0.2732', 'vggt_cos_loss': '0.01768', 'pidinet_loss': '0.1716', 'siglip_loss': '0.5845', 'epoch': '0.2564'} + 79%|███████████████████████▊ | 7126/9000 [6:08:40<1:15:46, 2.43s/it][Dataset] cur_step=7127 phase=D_mixed_covt +[Dataset] cur_step=7127 phase=D_mixed_covt +[Dataset] cur_step=7127 phase=D_mixed_covt +[Dataset] cur_step=7127 phase=D_mixed_covt[Dataset] cur_step=7127 phase=D_mixed_covt + +[Dataset] cur_step=7127 phase=D_mixed_covt +[Dataset] cur_step=7127 phase=D_mixed_covt + 79%|███████████████████████▊ | 7127/9000 [6:08:41<1:12:46, 2.33s/it][Dataset] cur_step=7127 phase=D_mixed_covt + {'loss': '3.298', 'grad_norm': '4.213', 'learning_rate': '5.69e-06', 'epoch': '0.2564'} + 79%|███████████████████████▊ | 7127/9000 [6:08:41<1:12:46, 2.33s/it] {'lm_loss': '0.6776', 'visual_loss': '1.237', 'seg_loss': '0.626', 'dino_loss': '0', 'depth_loss': '0.1358', 'vggt_mse_loss': '0.135', 'vggt_cos_loss': '0.007897', 'pidinet_loss': '0.213', 'siglip_loss': '0.2624', 'epoch': '0.2564'} + 79%|███████████████████████▊ | 7127/9000 [6:08:43<1:12:46, 2.33s/it][Dataset] cur_step=7128 phase=D_mixed_covt +[Dataset] cur_step=7128 phase=D_mixed_covt +[Dataset] cur_step=7128 phase=D_mixed_covt[Dataset] cur_step=7128 phase=D_mixed_covt[Dataset] cur_step=7128 phase=D_mixed_covt + + +[Dataset] cur_step=7128 phase=D_mixed_covt +[Dataset] cur_step=7128 phase=D_mixed_covt + 79%|███████████████████████▊ | 7128/9000 [6:08:44<1:19:35, 2.55s/it][Dataset] cur_step=7128 phase=D_mixed_covt + {'loss': '2.302', 'grad_norm': '5.111', 'learning_rate': '5.685e-06', 'epoch': '0.2564'} + 79%|███████████████████████▊ | 7128/9000 [6:08:44<1:19:35, 2.55s/it] {'lm_loss': '0.507', 'visual_loss': '2.615', 'seg_loss': '0.9052', 'dino_loss': '0.8921', 'depth_loss': '0.1501', 'vggt_mse_loss': '0.1492', 'vggt_cos_loss': '0.009271', 'pidinet_loss': '0.2769', 'siglip_loss': '0.391', 'epoch': '0.2564'} + 79%|███████████████████████▊ | 7128/9000 [6:08:46<1:19:35, 2.55s/it][Dataset] cur_step=7129 phase=D_mixed_covt +[Dataset] cur_step=7129 phase=D_mixed_covt +[Dataset] cur_step=7129 phase=D_mixed_covt[Dataset] cur_step=7129 phase=D_mixed_covt + +[Dataset] cur_step=7129 phase=D_mixed_covt +[Dataset] cur_step=7129 phase=D_mixed_covt + 79%|███████████████████████▊ | 7129/9000 [6:08:49<1:46:13, 3.41s/it][Dataset] cur_step=7129 phase=D_mixed_covt +[Dataset] cur_step=7129 phase=D_mixed_covt + {'loss': '3.151', 'grad_norm': '2.267', 'learning_rate': '5.679e-06', 'epoch': '0.2565'} + 79%|███████████████████████▊ | 7129/9000 [6:08:49<1:46:13, 3.41s/it] {'lm_loss': '0.4991', 'visual_loss': '2.845', 'seg_loss': '0.8317', 'dino_loss': '0.9213', 'depth_loss': '0.2654', 'vggt_mse_loss': '0.263', 'vggt_cos_loss': '0.02409', 'pidinet_loss': '0.2704', 'siglip_loss': '0.5566', 'epoch': '0.2565'} + 79%|███████████████████████▊ | 7129/9000 [6:08:52<1:46:13, 3.41s/it][Dataset] cur_step=7130 phase=D_mixed_covt +[Dataset] cur_step=7130 phase=D_mixed_covt[Dataset] cur_step=7130 phase=D_mixed_covt + +[Dataset] cur_step=7130 phase=D_mixed_covt +[Dataset] cur_step=7130 phase=D_mixed_covt +[Dataset] cur_step=7130 phase=D_mixed_covt[Dataset] cur_step=7130 phase=D_mixed_covt + + 79%|███████████████████████▊ | 7130/9000 [6:08:52<1:43:29, 3.32s/it][Dataset] cur_step=7130 phase=D_mixed_covt + {'loss': '3.125', 'grad_norm': '2.42', 'learning_rate': '5.673e-06', 'epoch': '0.2565'} + 79%|███████████████████████▊ | 7130/9000 [6:08:52<1:43:29, 3.32s/it] {'lm_loss': '0.7949', 'visual_loss': '1.248', 'seg_loss': '0.719', 'dino_loss': '0', 'depth_loss': '0.2688', 'vggt_mse_loss': '0.2669', 'vggt_cos_loss': '0.01958', 'pidinet_loss': '0.2605', 'siglip_loss': '0', 'epoch': '0.2565'} + 79%|███████████████████████▊ | 7130/9000 [6:08:54<1:43:29, 3.32s/it][Dataset] cur_step=7131 phase=D_mixed_covt[Dataset] cur_step=7131 phase=D_mixed_covt + +[Dataset] cur_step=7131 phase=D_mixed_covt[Dataset] cur_step=7131 phase=D_mixed_covt + +[Dataset] cur_step=7131 phase=D_mixed_covt +[Dataset] cur_step=7131 phase=D_mixed_covt +[Dataset] cur_step=7131 phase=D_mixed_covt 79%|███████████████████████▊ | 7131/9000 [6:08:55<1:33:29, 3.00s/it] +[Dataset] cur_step=7131 phase=D_mixed_covt + {'loss': '2.068', 'grad_norm': '4.754', 'learning_rate': '5.667e-06', 'epoch': '0.2565'} + 79%|███████████████████████▊ | 7131/9000 [6:08:55<1:33:29, 3.00s/it] {'lm_loss': '0.1233', 'visual_loss': '2.109', 'seg_loss': '0.5381', 'dino_loss': '0.9069', 'depth_loss': '0.1398', 'vggt_mse_loss': '0.1389', 'vggt_cos_loss': '0.009591', 'pidinet_loss': '0.145', 'siglip_loss': '0.3794', 'epoch': '0.2565'} + 79%|███████████████████████▊ | 7131/9000 [6:08:56<1:33:29, 3.00s/it][Dataset] cur_step=7132 phase=D_mixed_covt +[Dataset] cur_step=7132 phase=D_mixed_covt +[Dataset] cur_step=7132 phase=D_mixed_covt +[Dataset] cur_step=7132 phase=D_mixed_covt + 79%|███████████████████████▊ | 7132/9000 [6:08:59<1:50:13, 3.54s/it][Dataset] cur_step=7132 phase=D_mixed_covt +[Dataset] cur_step=7132 phase=D_mixed_covt +[Dataset] cur_step=7132 phase=D_mixed_covt +[Dataset] cur_step=7132 phase=D_mixed_covt + {'loss': '3.065', 'grad_norm': '3.702', 'learning_rate': '5.661e-06', 'epoch': '0.2566'} + 79%|███████████████████████▊ | 7132/9000 [6:08:59<1:50:13, 3.54s/it] {'lm_loss': '0.6078', 'visual_loss': '2.68', 'seg_loss': '0.8584', 'dino_loss': '0.9335', 'depth_loss': '0.1857', 'vggt_mse_loss': '0.1847', 'vggt_cos_loss': '0.0107', 'pidinet_loss': '0.2489', 'siglip_loss': '0.4534', 'epoch': '0.2566'} + 79%|███████████████████████▊ | 7132/9000 [6:09:01<1:50:13, 3.54s/it][Dataset] cur_step=7133 phase=D_mixed_covt +[Dataset] cur_step=7133 phase=D_mixed_covt[Dataset] cur_step=7133 phase=D_mixed_covt[Dataset] cur_step=7133 phase=D_mixed_covt + + +[Dataset] cur_step=7133 phase=D_mixed_covt +[Dataset] cur_step=7133 phase=D_mixed_covt +[Dataset] cur_step=7133 phase=D_mixed_covt +[Dataset] cur_step=7133 phase=D_mixed_covt + 79%|███████████████████████▊ | 7133/9000 [6:09:01<1:35:35, 3.07s/it] {'loss': '3.238', 'grad_norm': '3.286', 'learning_rate': '5.655e-06', 'epoch': '0.2566'} + 79%|███████████████████████▊ | 7133/9000 [6:09:01<1:35:35, 3.07s/it] {'lm_loss': '0.6763', 'visual_loss': '2.833', 'seg_loss': '0.7041', 'dino_loss': '0.8745', 'depth_loss': '0.143', 'vggt_mse_loss': '0.1421', 'vggt_cos_loss': '0.008704', 'pidinet_loss': '0.1957', 'siglip_loss': '0.9153', 'epoch': '0.2566'} + 79%|███████████████████████▊ | 7133/9000 [6:09:04<1:35:35, 3.07s/it][Dataset] cur_step=7134 phase=D_mixed_covt +[Dataset] cur_step=7134 phase=D_mixed_covt +[Dataset] cur_step=7134 phase=D_mixed_covt +[Dataset] cur_step=7134 phase=D_mixed_covt[Dataset] cur_step=7134 phase=D_mixed_covt + +[Dataset] cur_step=7134 phase=D_mixed_covt +[Dataset] cur_step=7134 phase=D_mixed_covt + 79%|███████████████████████▊ | 7134/9000 [6:09:05<1:39:58, 3.21s/it][Dataset] cur_step=7134 phase=D_mixed_covt + {'loss': '3.291', 'grad_norm': '3.769', 'learning_rate': '5.65e-06', 'epoch': '0.2566'} + 79%|███████████████████████▊ | 7134/9000 [6:09:05<1:39:58, 3.21s/it] {'lm_loss': '0.3685', 'visual_loss': '2.721', 'seg_loss': '0.8017', 'dino_loss': '0.929', 'depth_loss': '0.2284', 'vggt_mse_loss': '0.2265', 'vggt_cos_loss': '0.01925', 'pidinet_loss': '0.2566', 'siglip_loss': '0.5057', 'epoch': '0.2566'} + 79%|███████████████████████▊ | 7134/9000 [6:09:07<1:39:58, 3.21s/it][Dataset] cur_step=7135 phase=D_mixed_covt +[Dataset] cur_step=7135 phase=D_mixed_covt +[Dataset] cur_step=7135 phase=D_mixed_covt +[Dataset] cur_step=7135 phase=D_mixed_covt[Dataset] cur_step=7135 phase=D_mixed_covt + +[Dataset] cur_step=7135 phase=D_mixed_covt + 79%|███████████████████████▊ | 7135/9000 [6:09:08<1:34:46, 3.05s/it][Dataset] cur_step=7135 phase=D_mixed_covt +[Dataset] cur_step=7135 phase=D_mixed_covt + {'loss': '3.171', 'grad_norm': '13.14', 'learning_rate': '5.644e-06', 'epoch': '0.2567'} + 79%|███████████████████████▊ | 7135/9000 [6:09:08<1:34:46, 3.05s/it] {'lm_loss': '0.5538', 'visual_loss': '2.795', 'seg_loss': '0.808', 'dino_loss': '0.8781', 'depth_loss': '0.2822', 'vggt_mse_loss': '0.2797', 'vggt_cos_loss': '0.02542', 'pidinet_loss': '0.2583', 'siglip_loss': '0.568', 'epoch': '0.2567'} + 79%|███████████████████████▊ | 7135/9000 [6:09:12<1:34:46, 3.05s/it][Dataset] cur_step=7136 phase=D_mixed_covt + 79%|███████████████████████▊ | 7136/9000 [6:09:12<1:51:08, 3.58s/it][Dataset] cur_step=7136 phase=D_mixed_covt +[Dataset] cur_step=7136 phase=D_mixed_covt +[Dataset] cur_step=7136 phase=D_mixed_covt +[Dataset] cur_step=7136 phase=D_mixed_covt +[Dataset] cur_step=7136 phase=D_mixed_covt[Dataset] cur_step=7136 phase=D_mixed_covt + +[Dataset] cur_step=7136 phase=D_mixed_covt + {'loss': '3.365', 'grad_norm': '3.498', 'learning_rate': '5.638e-06', 'epoch': '0.2567'} + 79%|███████████████████████▊ | 7136/9000 [6:09:12<1:51:08, 3.58s/it] {'lm_loss': '0.07832', 'visual_loss': '2.554', 'seg_loss': '0.7294', 'dino_loss': '0.9125', 'depth_loss': '0.189', 'vggt_mse_loss': '0.1877', 'vggt_cos_loss': '0.01316', 'pidinet_loss': '0.2486', 'siglip_loss': '0.4749', 'epoch': '0.2567'} + 79%|███████████████████████▊ | 7136/9000 [6:09:14<1:51:08, 3.58s/it][Dataset] cur_step=7137 phase=D_mixed_covt +[Dataset] cur_step=7137 phase=D_mixed_covt[Dataset] cur_step=7137 phase=D_mixed_covt + +[Dataset] cur_step=7137 phase=D_mixed_covt[Dataset] cur_step=7137 phase=D_mixed_covt + +[Dataset] cur_step=7137 phase=D_mixed_covt + 79%|███████████████████████▊ | 7137/9000 [6:09:15<1:42:57, 3.32s/it][Dataset] cur_step=7137 phase=D_mixed_covt +[Dataset] cur_step=7137 phase=D_mixed_covt + {'loss': '3.265', 'grad_norm': '43.51', 'learning_rate': '5.632e-06', 'epoch': '0.2568'} + 79%|███████████████████████▊ | 7137/9000 [6:09:15<1:42:57, 3.32s/it] {'lm_loss': '0.8377', 'visual_loss': '2.563', 'seg_loss': '0.753', 'dino_loss': '0.9397', 'depth_loss': '0.1879', 'vggt_mse_loss': '0.1866', 'vggt_cos_loss': '0.01346', 'pidinet_loss': '0.2412', 'siglip_loss': '0.4409', 'epoch': '0.2568'} + 79%|███████████████████████▊ | 7137/9000 [6:09:17<1:42:57, 3.32s/it][Dataset] cur_step=7138 phase=D_mixed_covt +[Dataset] cur_step=7138 phase=D_mixed_covt +[Dataset] cur_step=7138 phase=D_mixed_covt 79%|███████████████████████▊ | 7138/9000 [6:09:17<1:31:34, 2.95s/it] +[Dataset] cur_step=7138 phase=D_mixed_covt[Dataset] cur_step=7138 phase=D_mixed_covt + +[Dataset] cur_step=7138 phase=D_mixed_covt +[Dataset] cur_step=7138 phase=D_mixed_covt +[Dataset] cur_step=7138 phase=D_mixed_covt + {'loss': '3.35', 'grad_norm': '4.612', 'learning_rate': '5.626e-06', 'epoch': '0.2568'} + 79%|███████████████████████▊ | 7138/9000 [6:09:17<1:31:34, 2.95s/it] {'lm_loss': '0.1034', 'visual_loss': '2.468', 'seg_loss': '0.6379', 'dino_loss': '0.8708', 'depth_loss': '0.2376', 'vggt_mse_loss': '0.2358', 'vggt_cos_loss': '0.01896', 'pidinet_loss': '0.1356', 'siglip_loss': '0.5862', 'epoch': '0.2568'} + 79%|███████████████████████▊ | 7138/9000 [6:09:19<1:31:34, 2.95s/it][Dataset] cur_step=7139 phase=D_mixed_covt + 79%|███████████████████████▊ | 7139/9000 [6:09:20<1:28:33, 2.86s/it][Dataset] cur_step=7139 phase=D_mixed_covt[Dataset] cur_step=7139 phase=D_mixed_covt + +[Dataset] cur_step=7139 phase=D_mixed_covt[Dataset] cur_step=7139 phase=D_mixed_covt + +[Dataset] cur_step=7139 phase=D_mixed_covt +[Dataset] cur_step=7139 phase=D_mixed_covt +[Dataset] cur_step=7139 phase=D_mixed_covt + {'loss': '3.193', 'grad_norm': '49.75', 'learning_rate': '5.621e-06', 'epoch': '0.2568'} + 79%|███████████████████████▊ | 7139/9000 [6:09:20<1:28:33, 2.86s/it] {'lm_loss': '0.3199', 'visual_loss': '1.507', 'seg_loss': '0', 'dino_loss': '0.9142', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2612', 'siglip_loss': '0.332', 'epoch': '0.2568'} + 79%|███████████████████████▊ | 7139/9000 [6:09:20<1:28:33, 2.86s/it][Dataset] cur_step=7140 phase=D_mixed_covt[Dataset] cur_step=7140 phase=D_mixed_covt + + 79%|███████████████████████▊ | 7140/9000 [6:09:21<1:09:54, 2.25s/it][Dataset] cur_step=7140 phase=D_mixed_covt[Dataset] cur_step=7140 phase=D_mixed_covt + +[Dataset] cur_step=7140 phase=D_mixed_covt +[Dataset] cur_step=7140 phase=D_mixed_covt +[Dataset] cur_step=7140 phase=D_mixed_covt +[Dataset] cur_step=7140 phase=D_mixed_covt + {'loss': '2.304', 'grad_norm': '7.994', 'learning_rate': '5.615e-06', 'epoch': '0.2569'} + 79%|███████████████████████▊ | 7140/9000 [6:09:21<1:09:54, 2.25s/it] {'lm_loss': '1.078', 'visual_loss': '3.11', 'seg_loss': '0.8102', 'dino_loss': '0.9223', 'depth_loss': '0.3533', 'vggt_mse_loss': '0.351', 'vggt_cos_loss': '0.02264', 'pidinet_loss': '0.2341', 'siglip_loss': '0.7901', 'epoch': '0.2569'} + 79%|███████████████████████▊ | 7140/9000 [6:09:22<1:09:54, 2.25s/it][Dataset] cur_step=7141 phase=D_mixed_covt +[Dataset] cur_step=7141 phase=D_mixed_covt[Dataset] cur_step=7141 phase=D_mixed_covt +[Dataset] cur_step=7141 phase=D_mixed_covt + +[Dataset] cur_step=7141 phase=D_mixed_covt +[Dataset] cur_step=7141 phase=D_mixed_covt 79%|███████████████████████▊ | 7141/9000 [6:09:23<1:13:05, 2.36s/it] +[Dataset] cur_step=7141 phase=D_mixed_covt +[Dataset] cur_step=7141 phase=D_mixed_covt + {'loss': '3.325', 'grad_norm': '4.232', 'learning_rate': '5.609e-06', 'epoch': '0.2569'} + 79%|███████████████████████▊ | 7141/9000 [6:09:23<1:13:05, 2.36s/it] {'lm_loss': '0.8437', 'visual_loss': '2.531', 'seg_loss': '0.6808', 'dino_loss': '0.926', 'depth_loss': '0.1998', 'vggt_mse_loss': '0.1983', 'vggt_cos_loss': '0.01431', 'pidinet_loss': '0.2816', 'siglip_loss': '0.4428', 'epoch': '0.2569'} + 79%|███████████████████████▊ | 7141/9000 [6:09:26<1:13:05, 2.36s/it][Dataset] cur_step=7142 phase=D_mixed_covt[Dataset] cur_step=7142 phase=D_mixed_covt + +[Dataset] cur_step=7142 phase=D_mixed_covt +[Dataset] cur_step=7142 phase=D_mixed_covt[Dataset] cur_step=7142 phase=D_mixed_covt + +[Dataset] cur_step=7142 phase=D_mixed_covt +[Dataset] cur_step=7142 phase=D_mixed_covt 79%|███████████████████████▊ | 7142/9000 [6:09:26<1:17:21, 2.50s/it] +[Dataset] cur_step=7142 phase=D_mixed_covt + {'loss': '3.299', 'grad_norm': '2.356', 'learning_rate': '5.603e-06', 'epoch': '0.2569'} + 79%|███████████████████████▊ | 7142/9000 [6:09:26<1:17:21, 2.50s/it] {'lm_loss': '1.223', 'visual_loss': '2.799', 'seg_loss': '0.8166', 'dino_loss': '0.9165', 'depth_loss': '0.1795', 'vggt_mse_loss': '0.178', 'vggt_cos_loss': '0.01439', 'pidinet_loss': '0.2581', 'siglip_loss': '0.628', 'epoch': '0.2569'} + 79%|███████████████████████▊ | 7142/9000 [6:09:28<1:17:21, 2.50s/it][Dataset] cur_step=7143 phase=D_mixed_covt +[Dataset] cur_step=7143 phase=D_mixed_covt +[Dataset] cur_step=7143 phase=D_mixed_covt +[Dataset] cur_step=7143 phase=D_mixed_covt[Dataset] cur_step=7143 phase=D_mixed_covt + +[Dataset] cur_step=7143 phase=D_mixed_covt +[Dataset] cur_step=7143 phase=D_mixed_covt +[Dataset] cur_step=7143 phase=D_mixed_covt + 79%|███████████████████████▊ | 7143/9000 [6:09:29<1:24:08, 2.72s/it] {'loss': '3.489', 'grad_norm': '3.244', 'learning_rate': '5.597e-06', 'epoch': '0.257'} + 79%|███████████████████████▊ | 7143/9000 [6:09:29<1:24:08, 2.72s/it] {'lm_loss': '1.12', 'visual_loss': '2.184', 'seg_loss': '0.5383', 'dino_loss': '0.8264', 'depth_loss': '0.196', 'vggt_mse_loss': '0.1945', 'vggt_cos_loss': '0.01562', 'pidinet_loss': '0.112', 'siglip_loss': '0.5111', 'epoch': '0.257'} + 79%|███████████████████████▊ | 7143/9000 [6:09:33<1:24:08, 2.72s/it][Dataset] cur_step=7144 phase=D_mixed_covt +[Dataset] cur_step=7144 phase=D_mixed_covt +[Dataset] cur_step=7144 phase=D_mixed_covt +[Dataset] cur_step=7144 phase=D_mixed_covt +[Dataset] cur_step=7144 phase=D_mixed_covt +[Dataset] cur_step=7144 phase=D_mixed_covt +[Dataset] cur_step=7144 phase=D_mixed_covt + 79%|███████████████████████▊ | 7144/9000 [6:09:35<1:54:00, 3.69s/it][Dataset] cur_step=7144 phase=D_mixed_covt + {'loss': '3.296', 'grad_norm': '2.703', 'learning_rate': '5.592e-06', 'epoch': '0.257'} + 79%|███████████████████████▊ | 7144/9000 [6:09:35<1:54:00, 3.69s/it] {'lm_loss': '0.7615', 'visual_loss': '2.652', 'seg_loss': '0.6957', 'dino_loss': '0.9383', 'depth_loss': '0.2296', 'vggt_mse_loss': '0.228', 'vggt_cos_loss': '0.01655', 'pidinet_loss': '0.249', 'siglip_loss': '0.539', 'epoch': '0.257'} + 79%|███████████████████████▊ | 7144/9000 [6:09:38<1:54:00, 3.69s/it][Dataset] cur_step=7145 phase=D_mixed_covt[Dataset] cur_step=7145 phase=D_mixed_covt + +[Dataset] cur_step=7145 phase=D_mixed_covt +[Dataset] cur_step=7145 phase=D_mixed_covt +[Dataset] cur_step=7145 phase=D_mixed_covt +[Dataset] cur_step=7145 phase=D_mixed_covt +[Dataset] cur_step=7145 phase=D_mixed_covt[Dataset] cur_step=7145 phase=D_mixed_covt + + 79%|███████████████████████▊ | 7145/9000 [6:09:39<1:55:18, 3.73s/it] {'loss': '3.161', 'grad_norm': '2.301', 'learning_rate': '5.586e-06', 'epoch': '0.257'} + 79%|███████████████████████▊ | 7145/9000 [6:09:39<1:55:18, 3.73s/it] {'lm_loss': '0.7953', 'visual_loss': '2.838', 'seg_loss': '0.8529', 'dino_loss': '0.9161', 'depth_loss': '0.3', 'vggt_mse_loss': '0.2985', 'vggt_cos_loss': '0.0149', 'pidinet_loss': '0.218', 'siglip_loss': '0.5511', 'epoch': '0.257'} + 79%|███████████████████████▊ | 7145/9000 [6:09:42<1:55:18, 3.73s/it][Dataset] cur_step=7146 phase=D_mixed_covt +[Dataset] cur_step=7146 phase=D_mixed_covt +[Dataset] cur_step=7146 phase=D_mixed_covt +[Dataset] cur_step=7146 phase=D_mixed_covt + 79%|███████████████████████▊ | 7146/9000 [6:09:43<1:53:10, 3.66s/it][Dataset] cur_step=7146 phase=D_mixed_covt +[Dataset] cur_step=7146 phase=D_mixed_covt +[Dataset] cur_step=7146 phase=D_mixed_covt +[Dataset] cur_step=7146 phase=D_mixed_covt + {'loss': '3.449', 'grad_norm': '2.732', 'learning_rate': '5.58e-06', 'epoch': '0.2571'} + 79%|███████████████████████▊ | 7146/9000 [6:09:43<1:53:10, 3.66s/it] {'lm_loss': '1.037', 'visual_loss': '2.354', 'seg_loss': '0.55', 'dino_loss': '0.9103', 'depth_loss': '0.2364', 'vggt_mse_loss': '0.2346', 'vggt_cos_loss': '0.01817', 'pidinet_loss': '0.0776', 'siglip_loss': '0.5795', 'epoch': '0.2571'} + 79%|███████████████████████▊ | 7146/9000 [6:09:45<1:53:10, 3.66s/it][Dataset] cur_step=7147 phase=D_mixed_covt[Dataset] cur_step=7147 phase=D_mixed_covt + +[Dataset] cur_step=7147 phase=D_mixed_covt + 79%|███████████████████████▊ | 7147/9000 [6:09:45<1:42:32, 3.32s/it][Dataset] cur_step=7147 phase=D_mixed_covt[Dataset] cur_step=7147 phase=D_mixed_covt + +[Dataset] cur_step=7147 phase=D_mixed_covt[Dataset] cur_step=7147 phase=D_mixed_covt + +[Dataset] cur_step=7147 phase=D_mixed_covt + {'loss': '3.561', 'grad_norm': '4.842', 'learning_rate': '5.574e-06', 'epoch': '0.2571'} + 79%|███████████████████████▊ | 7147/9000 [6:09:45<1:42:32, 3.32s/it] {'lm_loss': '0.4772', 'visual_loss': '2.82', 'seg_loss': '0.6627', 'dino_loss': '0.9094', 'depth_loss': '0.5629', 'vggt_mse_loss': '0.5578', 'vggt_cos_loss': '0.05024', 'pidinet_loss': '0', 'siglip_loss': '0.685', 'epoch': '0.2571'} + 79%|███████████████████████▊ | 7147/9000 [6:09:48<1:42:32, 3.32s/it][Dataset] cur_step=7148 phase=D_mixed_covt +[Dataset] cur_step=7148 phase=D_mixed_covt +[Dataset] cur_step=7148 phase=D_mixed_covt +[Dataset] cur_step=7148 phase=D_mixed_covt[Dataset] cur_step=7148 phase=D_mixed_covt + +[Dataset] cur_step=7148 phase=D_mixed_covt +[Dataset] cur_step=7148 phase=D_mixed_covt + 79%|███████████████████████▊ | 7148/9000 [6:09:49<1:50:21, 3.58s/it][Dataset] cur_step=7148 phase=D_mixed_covt + {'loss': '2.97', 'grad_norm': '3.868', 'learning_rate': '5.568e-06', 'epoch': '0.2572'} + 79%|███████████████████████▊ | 7148/9000 [6:09:49<1:50:21, 3.58s/it] {'lm_loss': '0.6336', 'visual_loss': '2.424', 'seg_loss': '0.4778', 'dino_loss': '0.874', 'depth_loss': '0.2227', 'vggt_mse_loss': '0.2209', 'vggt_cos_loss': '0.01847', 'pidinet_loss': '0.1473', 'siglip_loss': '0.7022', 'epoch': '0.2572'} + 79%|███████████████████████▊ | 7148/9000 [6:09:52<1:50:21, 3.58s/it][Dataset] cur_step=7149 phase=D_mixed_covt +[Dataset] cur_step=7149 phase=D_mixed_covt + 79%|███████████████████████▊ | 7149/9000 [6:09:52<1:44:25, 3.39s/it][Dataset] cur_step=7149 phase=D_mixed_covt +[Dataset] cur_step=7149 phase=D_mixed_covt +[Dataset] cur_step=7149 phase=D_mixed_covt +[Dataset] cur_step=7149 phase=D_mixed_covt +[Dataset] cur_step=7149 phase=D_mixed_covt[Dataset] cur_step=7149 phase=D_mixed_covt + + {'loss': '3.286', 'grad_norm': '6.478', 'learning_rate': '5.563e-06', 'epoch': '0.2572'} + 79%|███████████████████████▊ | 7149/9000 [6:09:52<1:44:25, 3.39s/it] {'lm_loss': '0.4805', 'visual_loss': '2.761', 'seg_loss': '0.7996', 'dino_loss': '0.8662', 'depth_loss': '0.301', 'vggt_mse_loss': '0.2991', 'vggt_cos_loss': '0.01895', 'pidinet_loss': '0.069', 'siglip_loss': '0.7252', 'epoch': '0.2572'} + 79%|███████████████████████▊ | 7149/9000 [6:09:55<1:44:25, 3.39s/it][Dataset] cur_step=7150 phase=D_mixed_covt +[Dataset] cur_step=7150 phase=D_mixed_covt +[Dataset] cur_step=7150 phase=D_mixed_covt[Dataset] cur_step=7150 phase=D_mixed_covt + + 79%|███████████████████████▊ | 7150/9000 [6:09:55<1:41:09, 3.28s/it][Dataset] cur_step=7150 phase=D_mixed_covt +[Dataset] cur_step=7150 phase=D_mixed_covt +[Dataset] cur_step=7150 phase=D_mixed_covt +[Dataset] cur_step=7150 phase=D_mixed_covt + {'loss': '3.318', 'grad_norm': '5.556', 'learning_rate': '5.557e-06', 'epoch': '0.2572'} + 79%|███████████████████████▊ | 7150/9000 [6:09:55<1:41:09, 3.28s/it] {'lm_loss': '0.5661', 'visual_loss': '2.104', 'seg_loss': '0.7286', 'dino_loss': '0', 'depth_loss': '0.2125', 'vggt_mse_loss': '0.2111', 'vggt_cos_loss': '0.01377', 'pidinet_loss': '0.3012', 'siglip_loss': '0.862', 'epoch': '0.2572'} + 79%|███████████████████████▊ | 7150/9000 [6:09:58<1:41:09, 3.28s/it][Dataset] cur_step=7151 phase=D_mixed_covt +[Dataset] cur_step=7151 phase=D_mixed_covt[Dataset] cur_step=7151 phase=D_mixed_covt + +[Dataset] cur_step=7151 phase=D_mixed_covt +[Dataset] cur_step=7151 phase=D_mixed_covt +[Dataset] cur_step=7151 phase=D_mixed_covt[Dataset] cur_step=7151 phase=D_mixed_covt + + 79%|███████████████████████▊ | 7151/9000 [6:09:59<1:40:47, 3.27s/it][Dataset] cur_step=7151 phase=D_mixed_covt + {'loss': '2.262', 'grad_norm': '4.992', 'learning_rate': '5.551e-06', 'epoch': '0.2573'} + 79%|███████████████████████▊ | 7151/9000 [6:09:59<1:40:47, 3.27s/it] {'lm_loss': '0.6785', 'visual_loss': '1.113', 'seg_loss': '0.6263', 'dino_loss': '0', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.1514', 'siglip_loss': '0.3352', 'epoch': '0.2573'} + 79%|███████████████████████▊ | 7151/9000 [6:10:00<1:40:47, 3.27s/it][Dataset] cur_step=7152 phase=D_mixed_covt +[Dataset] cur_step=7152 phase=D_mixed_covt +[Dataset] cur_step=7152 phase=D_mixed_covt[Dataset] cur_step=7152 phase=D_mixed_covt + +[Dataset] cur_step=7152 phase=D_mixed_covt + 79%|███████████████████████▊ | 7152/9000 [6:10:01<1:32:35, 3.01s/it][Dataset] cur_step=7152 phase=D_mixed_covt +[Dataset] cur_step=7152 phase=D_mixed_covt +[Dataset] cur_step=7152 phase=D_mixed_covt + {'loss': '2.191', 'grad_norm': '4.116', 'learning_rate': '5.545e-06', 'epoch': '0.2573'} + 79%|███████████████████████▊ | 7152/9000 [6:10:01<1:32:35, 3.01s/it] {'lm_loss': '0.7108', 'visual_loss': '2.745', 'seg_loss': '0.7037', 'dino_loss': '0.9103', 'depth_loss': '0.1457', 'vggt_mse_loss': '0.145', 'vggt_cos_loss': '0.007051', 'pidinet_loss': '0.3562', 'siglip_loss': '0.6292', 'epoch': '0.2573'} + 79%|███████████████████████▊ | 7152/9000 [6:10:03<1:32:35, 3.01s/it][Dataset] cur_step=7153 phase=D_mixed_covt +[Dataset] cur_step=7153 phase=D_mixed_covt +[Dataset] cur_step=7153 phase=D_mixed_covt[Dataset] cur_step=7153 phase=D_mixed_covt + +[Dataset] cur_step=7153 phase=D_mixed_covt +[Dataset] cur_step=7153 phase=D_mixed_covt +[Dataset] cur_step=7153 phase=D_mixed_covt +[Dataset] cur_step=7153 phase=D_mixed_covt + 79%|███████████████████████▊ | 7153/9000 [6:10:04<1:29:15, 2.90s/it] {'loss': '3.183', 'grad_norm': '3.547', 'learning_rate': '5.54e-06', 'epoch': '0.2573'} + 79%|███████████████████████▊ | 7153/9000 [6:10:04<1:29:15, 2.90s/it] {'lm_loss': '0.7246', 'visual_loss': '3.057', 'seg_loss': '0.824', 'dino_loss': '0.8727', 'depth_loss': '0.2026', 'vggt_mse_loss': '0.201', 'vggt_cos_loss': '0.01539', 'pidinet_loss': '0.4044', 'siglip_loss': '0.7531', 'epoch': '0.2573'} + 79%|███████████████████████▊ | 7153/9000 [6:10:05<1:29:15, 2.90s/it][Dataset] cur_step=7154 phase=D_mixed_covt[Dataset] cur_step=7154 phase=D_mixed_covt +[Dataset] cur_step=7154 phase=D_mixed_covt + +[Dataset] cur_step=7154 phase=D_mixed_covt[Dataset] cur_step=7154 phase=D_mixed_covt + +[Dataset] cur_step=7154 phase=D_mixed_covt 79%|███████████████████████▊ | 7154/9000 [6:10:06<1:26:40, 2.82s/it] +[Dataset] cur_step=7154 phase=D_mixed_covt +[Dataset] cur_step=7154 phase=D_mixed_covt + {'loss': '3.306', 'grad_norm': '2.677', 'learning_rate': '5.534e-06', 'epoch': '0.2574'} + 79%|███████████████████████▊ | 7154/9000 [6:10:06<1:26:40, 2.82s/it] {'lm_loss': '0.584', 'visual_loss': '2.915', 'seg_loss': '0.8152', 'dino_loss': '0.8852', 'depth_loss': '0.2298', 'vggt_mse_loss': '0.2275', 'vggt_cos_loss': '0.02288', 'pidinet_loss': '0.2714', 'siglip_loss': '0.7136', 'epoch': '0.2574'} + 79%|███████████████████████▊ | 7154/9000 [6:10:08<1:26:40, 2.82s/it][Dataset] cur_step=7155 phase=D_mixed_covt +[Dataset] cur_step=7155 phase=D_mixed_covt[Dataset] cur_step=7155 phase=D_mixed_covt +[Dataset] cur_step=7155 phase=D_mixed_covt + +[Dataset] cur_step=7155 phase=D_mixed_covt + 80%|███████████████████████▊ | 7155/9000 [6:10:08<1:18:14, 2.54s/it][Dataset] cur_step=7155 phase=D_mixed_covt +[Dataset] cur_step=7155 phase=D_mixed_covt +[Dataset] cur_step=7155 phase=D_mixed_covt + {'loss': '3.267', 'grad_norm': '3.414', 'learning_rate': '5.528e-06', 'epoch': '0.2574'} + 80%|███████████████████████▊ | 7155/9000 [6:10:08<1:18:14, 2.54s/it] {'lm_loss': '0.5894', 'visual_loss': '2.653', 'seg_loss': '0.6554', 'dino_loss': '0.8317', 'depth_loss': '0.5608', 'vggt_mse_loss': '0.5554', 'vggt_cos_loss': '0.05465', 'pidinet_loss': '0.1928', 'siglip_loss': '0.4124', 'epoch': '0.2574'} + 80%|███████████████████████▊ | 7155/9000 [6:10:10<1:18:14, 2.54s/it][Dataset] cur_step=7156 phase=D_mixed_covt +[Dataset] cur_step=7156 phase=D_mixed_covt +[Dataset] cur_step=7156 phase=D_mixed_covt[Dataset] cur_step=7156 phase=D_mixed_covt +[Dataset] cur_step=7156 phase=D_mixed_covt + + 80%|███████████████████████▊ | 7156/9000 [6:10:11<1:17:06, 2.51s/it][Dataset] cur_step=7156 phase=D_mixed_covt +[Dataset] cur_step=7156 phase=D_mixed_covt +[Dataset] cur_step=7156 phase=D_mixed_covt + {'loss': '3.304', 'grad_norm': '10.46', 'learning_rate': '5.522e-06', 'epoch': '0.2574'} + 80%|███████████████████████▊ | 7156/9000 [6:10:11<1:17:06, 2.51s/it] {'lm_loss': '0.5084', 'visual_loss': '2.757', 'seg_loss': '0.7207', 'dino_loss': '0.9022', 'depth_loss': '0.2718', 'vggt_mse_loss': '0.2698', 'vggt_cos_loss': '0.02002', 'pidinet_loss': '0.3017', 'siglip_loss': '0.5604', 'epoch': '0.2574'} + 80%|███████████████████████▊ | 7156/9000 [6:10:13<1:17:06, 2.51s/it][Dataset] cur_step=7157 phase=D_mixed_covt +[Dataset] cur_step=7157 phase=D_mixed_covt +[Dataset] cur_step=7157 phase=D_mixed_covt[Dataset] cur_step=7157 phase=D_mixed_covt +[Dataset] cur_step=7157 phase=D_mixed_covt + + 80%|███████████████████████▊ | 7157/9000 [6:10:13<1:18:24, 2.55s/it][Dataset] cur_step=7157 phase=D_mixed_covt[Dataset] cur_step=7157 phase=D_mixed_covt + +[Dataset] cur_step=7157 phase=D_mixed_covt + {'loss': '3.423', 'grad_norm': '3.29', 'learning_rate': '5.517e-06', 'epoch': '0.2575'} + 80%|███████████████████████▊ | 7157/9000 [6:10:13<1:18:24, 2.55s/it] {'lm_loss': '0.6693', 'visual_loss': '2.499', 'seg_loss': '0.6594', 'dino_loss': '0.9174', 'depth_loss': '0.1521', 'vggt_mse_loss': '0.1512', 'vggt_cos_loss': '0.009013', 'pidinet_loss': '0.2324', 'siglip_loss': '0.5381', 'epoch': '0.2575'} + 80%|███████████████████████▊ | 7157/9000 [6:10:17<1:18:24, 2.55s/it][Dataset] cur_step=7158 phase=D_mixed_covt +[Dataset] cur_step=7158 phase=D_mixed_covt + 80%|███████████████████████▊ | 7158/9000 [6:10:19<1:46:31, 3.47s/it][Dataset] cur_step=7158 phase=D_mixed_covt +[Dataset] cur_step=7158 phase=D_mixed_covt +[Dataset] cur_step=7158 phase=D_mixed_covt[Dataset] cur_step=7158 phase=D_mixed_covt + +[Dataset] cur_step=7158 phase=D_mixed_covt +[Dataset] cur_step=7158 phase=D_mixed_covt + {'loss': '3.341', 'grad_norm': '2.527', 'learning_rate': '5.511e-06', 'epoch': '0.2575'} + 80%|███████████████████████▊ | 7158/9000 [6:10:19<1:46:31, 3.47s/it] {'lm_loss': '0.5588', 'visual_loss': '3.384', 'seg_loss': '0.866', 'dino_loss': '0.8689', 'depth_loss': '0.3306', 'vggt_mse_loss': '0.3287', 'vggt_cos_loss': '0.01944', 'pidinet_loss': '0.2314', 'siglip_loss': '1.087', 'epoch': '0.2575'} + 80%|███████████████████████▊ | 7158/9000 [6:10:20<1:46:31, 3.47s/it][Dataset] cur_step=7159 phase=D_mixed_covt +[Dataset] cur_step=7159 phase=D_mixed_covt +[Dataset] cur_step=7159 phase=D_mixed_covt[Dataset] cur_step=7159 phase=D_mixed_covt + +[Dataset] cur_step=7159 phase=D_mixed_covt +[Dataset] cur_step=7159 phase=D_mixed_covt +[Dataset] cur_step=7159 phase=D_mixed_covt + 80%|███████████████████████▊ | 7159/9000 [6:10:21<1:36:32, 3.15s/it][Dataset] cur_step=7159 phase=D_mixed_covt + {'loss': '3.449', 'grad_norm': '4.86', 'learning_rate': '5.505e-06', 'epoch': '0.2575'} + 80%|███████████████████████▊ | 7159/9000 [6:10:21<1:36:32, 3.15s/it] {'lm_loss': '0.3985', 'visual_loss': '2.596', 'seg_loss': '0.6639', 'dino_loss': '0.9122', 'depth_loss': '0.2391', 'vggt_mse_loss': '0.2376', 'vggt_cos_loss': '0.01499', 'pidinet_loss': '0.1868', 'siglip_loss': '0.594', 'epoch': '0.2575'} + 80%|███████████████████████▊ | 7159/9000 [6:10:23<1:36:32, 3.15s/it][Dataset] cur_step=7160 phase=D_mixed_covt[Dataset] cur_step=7160 phase=D_mixed_covt +[Dataset] cur_step=7160 phase=D_mixed_covt + + 80%|███████████████████████▊ | 7160/9000 [6:10:24<1:30:22, 2.95s/it][Dataset] cur_step=7160 phase=D_mixed_covt[Dataset] cur_step=7160 phase=D_mixed_covt +[Dataset] cur_step=7160 phase=D_mixed_covt + +[Dataset] cur_step=7160 phase=D_mixed_covt[Dataset] cur_step=7160 phase=D_mixed_covt + + {'loss': '3.088', 'grad_norm': '2.701', 'learning_rate': '5.499e-06', 'epoch': '0.2576'} + 80%|███████████████████████▊ | 7160/9000 [6:10:24<1:30:22, 2.95s/it] {'lm_loss': '0.4181', 'visual_loss': '2.383', 'seg_loss': '0.6732', 'dino_loss': '0.9291', 'depth_loss': '0.3503', 'vggt_mse_loss': '0.3479', 'vggt_cos_loss': '0.02389', 'pidinet_loss': '0.1472', 'siglip_loss': '0.2833', 'epoch': '0.2576'} + 80%|███████████████████████▊ | 7160/9000 [6:10:26<1:30:22, 2.95s/it][Dataset] cur_step=7161 phase=D_mixed_covt +[Dataset] cur_step=7161 phase=D_mixed_covt +[Dataset] cur_step=7161 phase=D_mixed_covt[Dataset] cur_step=7161 phase=D_mixed_covt[Dataset] cur_step=7161 phase=D_mixed_covt[Dataset] cur_step=7161 phase=D_mixed_covt + + + + 80%|███████████████████████▊ | 7161/9000 [6:10:26<1:26:56, 2.84s/it][Dataset] cur_step=7161 phase=D_mixed_covt +[Dataset] cur_step=7161 phase=D_mixed_covt + {'loss': '3.224', 'grad_norm': '3.783', 'learning_rate': '5.494e-06', 'epoch': '0.2576'} + 80%|███████████████████████▊ | 7161/9000 [6:10:26<1:26:56, 2.84s/it] {'lm_loss': '0.3721', 'visual_loss': '2.643', 'seg_loss': '0.6734', 'dino_loss': '0.9046', 'depth_loss': '0.3696', 'vggt_mse_loss': '0.3667', 'vggt_cos_loss': '0.0294', 'pidinet_loss': '0.1739', 'siglip_loss': '0.5215', 'epoch': '0.2576'} + 80%|███████████████████████▊ | 7161/9000 [6:10:29<1:26:56, 2.84s/it][Dataset] cur_step=7162 phase=D_mixed_covt +[Dataset] cur_step=7162 phase=D_mixed_covt[Dataset] cur_step=7162 phase=D_mixed_covt +[Dataset] cur_step=7162 phase=D_mixed_covt + +[Dataset] cur_step=7162 phase=D_mixed_covt + 80%|███████████████████████▊ | 7162/9000 [6:10:30<1:31:15, 2.98s/it][Dataset] cur_step=7162 phase=D_mixed_covt +[Dataset] cur_step=7162 phase=D_mixed_covt +[Dataset] cur_step=7162 phase=D_mixed_covt + {'loss': '3.392', 'grad_norm': '2.462', 'learning_rate': '5.488e-06', 'epoch': '0.2577'} + 80%|███████████████████████▊ | 7162/9000 [6:10:30<1:31:15, 2.98s/it] {'lm_loss': '0.7675', 'visual_loss': '2.064', 'seg_loss': '0', 'dino_loss': '0.9173', 'depth_loss': '0.3223', 'vggt_mse_loss': '0.3192', 'vggt_cos_loss': '0.03132', 'pidinet_loss': '0.2545', 'siglip_loss': '0.5703', 'epoch': '0.2577'} + 80%|███████████████████████▊ | 7162/9000 [6:10:30<1:31:15, 2.98s/it][Dataset] cur_step=7163 phase=D_mixed_covt[Dataset] cur_step=7163 phase=D_mixed_covt +[Dataset] cur_step=7163 phase=D_mixed_covt + +[Dataset] cur_step=7163 phase=D_mixed_covt[Dataset] cur_step=7163 phase=D_mixed_covt + +[Dataset] cur_step=7163 phase=D_mixed_covt +[Dataset] cur_step=7163 phase=D_mixed_covt + 80%|███████████████████████▉ | 7163/9000 [6:10:31<1:15:22, 2.46s/it][Dataset] cur_step=7163 phase=D_mixed_covt + {'loss': '2.776', 'grad_norm': '3.636', 'learning_rate': '5.482e-06', 'epoch': '0.2577'} + 80%|███████████████████████▉ | 7163/9000 [6:10:31<1:15:22, 2.46s/it] {'lm_loss': '0.4354', 'visual_loss': '2.682', 'seg_loss': '0.7346', 'dino_loss': '0.8945', 'depth_loss': '0.2719', 'vggt_mse_loss': '0.2702', 'vggt_cos_loss': '0.01763', 'pidinet_loss': '0.2279', 'siglip_loss': '0.5527', 'epoch': '0.2577'} + 80%|███████████████████████▉ | 7163/9000 [6:10:34<1:15:22, 2.46s/it][Dataset] cur_step=7164 phase=D_mixed_covt +[Dataset] cur_step=7164 phase=D_mixed_covt +[Dataset] cur_step=7164 phase=D_mixed_covt[Dataset] cur_step=7164 phase=D_mixed_covt + +[Dataset] cur_step=7164 phase=D_mixed_covt +[Dataset] cur_step=7164 phase=D_mixed_covt +[Dataset] cur_step=7164 phase=D_mixed_covt +[Dataset] cur_step=7164 phase=D_mixed_covt + 80%|███████████████████████▉ | 7164/9000 [6:10:35<1:28:37, 2.90s/it] {'loss': '3.144', 'grad_norm': '2.578', 'learning_rate': '5.476e-06', 'epoch': '0.2577'} + 80%|███████████████████████▉ | 7164/9000 [6:10:35<1:28:37, 2.90s/it] {'lm_loss': '0.6428', 'visual_loss': '3.432', 'seg_loss': '0.7472', 'dino_loss': '0.9271', 'depth_loss': '0.2864', 'vggt_mse_loss': '0.2842', 'vggt_cos_loss': '0.02205', 'pidinet_loss': '0.3346', 'siglip_loss': '1.137', 'epoch': '0.2577'} + 80%|███████████████████████▉ | 7164/9000 [6:10:37<1:28:37, 2.90s/it][Dataset] cur_step=7165 phase=D_mixed_covt +[Dataset] cur_step=7165 phase=D_mixed_covt + 80%|███████████████████████▉ | 7165/9000 [6:10:37<1:27:28, 2.86s/it][Dataset] cur_step=7165 phase=D_mixed_covt[Dataset] cur_step=7165 phase=D_mixed_covt[Dataset] cur_step=7165 phase=D_mixed_covt[Dataset] cur_step=7165 phase=D_mixed_covt + + +[Dataset] cur_step=7165 phase=D_mixed_covt + +[Dataset] cur_step=7165 phase=D_mixed_covt + {'loss': '3.354', 'grad_norm': '4.686', 'learning_rate': '5.471e-06', 'epoch': '0.2578'} + 80%|███████████████████████▉ | 7165/9000 [6:10:37<1:27:28, 2.86s/it] {'lm_loss': '0.5099', 'visual_loss': '2.328', 'seg_loss': '0.6455', 'dino_loss': '0.8897', 'depth_loss': '0.2859', 'vggt_mse_loss': '0.2839', 'vggt_cos_loss': '0.0199', 'pidinet_loss': '0.1687', 'siglip_loss': '0.3383', 'epoch': '0.2578'} + 80%|███████████████████████▉ | 7165/9000 [6:10:40<1:27:28, 2.86s/it][Dataset] cur_step=7166 phase=D_mixed_covt +[Dataset] cur_step=7166 phase=D_mixed_covt +[Dataset] cur_step=7166 phase=D_mixed_covt[Dataset] cur_step=7166 phase=D_mixed_covt + +[Dataset] cur_step=7166 phase=D_mixed_covt +[Dataset] cur_step=7166 phase=D_mixed_covt + 80%|███████████████████████▉ | 7166/9000 [6:10:42<1:46:39, 3.49s/it][Dataset] cur_step=7166 phase=D_mixed_covt +[Dataset] cur_step=7166 phase=D_mixed_covt + {'loss': '3.414', 'grad_norm': '3.341', 'learning_rate': '5.465e-06', 'epoch': '0.2578'} + 80%|███████████████████████▉ | 7166/9000 [6:10:42<1:46:39, 3.49s/it] {'lm_loss': '0.379', 'visual_loss': '2.202', 'seg_loss': '0.5041', 'dino_loss': '0.9368', 'depth_loss': '0.1427', 'vggt_mse_loss': '0.1418', 'vggt_cos_loss': '0.008914', 'pidinet_loss': '0.2478', 'siglip_loss': '0.3706', 'epoch': '0.2578'} + 80%|███████████████████████▉ | 7166/9000 [6:10:44<1:46:39, 3.49s/it][Dataset] cur_step=7167 phase=D_mixed_covt +[Dataset] cur_step=7167 phase=D_mixed_covt[Dataset] cur_step=7167 phase=D_mixed_covt + +[Dataset] cur_step=7167 phase=D_mixed_covt +[Dataset] cur_step=7167 phase=D_mixed_covt +[Dataset] cur_step=7167 phase=D_mixed_covt +[Dataset] cur_step=7167 phase=D_mixed_covt + 80%|███████████████████████▉ | 7167/9000 [6:10:45<1:33:27, 3.06s/it][Dataset] cur_step=7167 phase=D_mixed_covt + {'loss': '3.199', 'grad_norm': '3.602', 'learning_rate': '5.459e-06', 'epoch': '0.2578'} + 80%|███████████████████████▉ | 7167/9000 [6:10:45<1:33:27, 3.06s/it] {'lm_loss': '0.5303', 'visual_loss': '2.514', 'seg_loss': '0.7249', 'dino_loss': '0.9177', 'depth_loss': '0.1822', 'vggt_mse_loss': '0.1811', 'vggt_cos_loss': '0.0105', 'pidinet_loss': '0.1586', 'siglip_loss': '0.5307', 'epoch': '0.2578'} + 80%|███████████████████████▉ | 7167/9000 [6:10:47<1:33:27, 3.06s/it][Dataset] cur_step=7168 phase=D_mixed_covt[Dataset] cur_step=7168 phase=D_mixed_covt + +[Dataset] cur_step=7168 phase=D_mixed_covt[Dataset] cur_step=7168 phase=D_mixed_covt + +[Dataset] cur_step=7168 phase=D_mixed_covt +[Dataset] cur_step=7168 phase=D_mixed_covt[Dataset] cur_step=7168 phase=D_mixed_covt + +[Dataset] cur_step=7168 phase=D_mixed_covt + 80%|███████████████████████▉ | 7168/9000 [6:10:48<1:39:32, 3.26s/it] {'loss': '3.119', 'grad_norm': '2.894', 'learning_rate': '5.453e-06', 'epoch': '0.2579'} + 80%|███████████████████████▉ | 7168/9000 [6:10:48<1:39:32, 3.26s/it] {'lm_loss': '0.5515', 'visual_loss': '1.86', 'seg_loss': '0', 'dino_loss': '0.8868', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.1949', 'siglip_loss': '0.7779', 'epoch': '0.2579'} + 80%|███████████████████████▉ | 7168/9000 [6:10:49<1:39:32, 3.26s/it][Dataset] cur_step=7169 phase=D_mixed_covt +[Dataset] cur_step=7169 phase=D_mixed_covt +[Dataset] cur_step=7169 phase=D_mixed_covt[Dataset] cur_step=7169 phase=D_mixed_covt + +[Dataset] cur_step=7169 phase=D_mixed_covt +[Dataset] cur_step=7169 phase=D_mixed_covt + 80%|███████████████████████▉ | 7169/9000 [6:10:49<1:17:14, 2.53s/it][Dataset] cur_step=7169 phase=D_mixed_covt[Dataset] cur_step=7169 phase=D_mixed_covt + + {'loss': '2.304', 'grad_norm': '4.045', 'learning_rate': '5.448e-06', 'epoch': '0.2579'} + 80%|███████████████████████▉ | 7169/9000 [6:10:49<1:17:14, 2.53s/it] {'lm_loss': '0.9578', 'visual_loss': '0.4202', 'seg_loss': '0', 'dino_loss': '0', 'depth_loss': '0.1755', 'vggt_mse_loss': '0.1742', 'vggt_cos_loss': '0.01304', 'pidinet_loss': '0.2447', 'siglip_loss': '0', 'epoch': '0.2579'} + 80%|███████████████████████▉ | 7169/9000 [6:10:50<1:17:14, 2.53s/it][Dataset] cur_step=7170 phase=D_mixed_covt +[Dataset] cur_step=7170 phase=D_mixed_covt[Dataset] cur_step=7170 phase=D_mixed_covt + +[Dataset] cur_step=7170 phase=D_mixed_covt +[Dataset] cur_step=7170 phase=D_mixed_covt +[Dataset] cur_step=7170 phase=D_mixed_covt + 80%|███████████████████████▉ | 7170/9000 [6:10:50<1:04:07, 2.10s/it][Dataset] cur_step=7170 phase=D_mixed_covt +[Dataset] cur_step=7170 phase=D_mixed_covt + {'loss': '1.185', 'grad_norm': '4.794', 'learning_rate': '5.442e-06', 'epoch': '0.2579'} + 80%|███████████████████████▉ | 7170/9000 [6:10:50<1:04:07, 2.10s/it] {'lm_loss': '0.6395', 'visual_loss': '2.914', 'seg_loss': '0.6293', 'dino_loss': '0.8933', 'depth_loss': '0.334', 'vggt_mse_loss': '0.3305', 'vggt_cos_loss': '0.03489', 'pidinet_loss': '0.275', 'siglip_loss': '0.7826', 'epoch': '0.2579'} + 80%|███████████████████████▉ | 7170/9000 [6:10:53<1:04:07, 2.10s/it][Dataset] cur_step=7171 phase=D_mixed_covt +[Dataset] cur_step=7171 phase=D_mixed_covt[Dataset] cur_step=7171 phase=D_mixed_covt[Dataset] cur_step=7171 phase=D_mixed_covt + +[Dataset] cur_step=7171 phase=D_mixed_covt + + 80%|███████████████████████▉ | 7171/9000 [6:10:54<1:16:47, 2.52s/it][Dataset] cur_step=7171 phase=D_mixed_covt +[Dataset] cur_step=7171 phase=D_mixed_covt +[Dataset] cur_step=7171 phase=D_mixed_covt + {'loss': '3.281', 'grad_norm': '2.018', 'learning_rate': '5.436e-06', 'epoch': '0.258'} + 80%|███████████████████████▉ | 7171/9000 [6:10:54<1:16:47, 2.52s/it] {'lm_loss': '0.06472', 'visual_loss': '3.032', 'seg_loss': '0.8328', 'dino_loss': '0.93', 'depth_loss': '0.326', 'vggt_mse_loss': '0.3242', 'vggt_cos_loss': '0.0187', 'pidinet_loss': '0.2533', 'siglip_loss': '0.6901', 'epoch': '0.258'} + 80%|███████████████████████▉ | 7171/9000 [6:10:55<1:16:47, 2.52s/it][Dataset] cur_step=7172 phase=D_mixed_covt +[Dataset] cur_step=7172 phase=D_mixed_covt[Dataset] cur_step=7172 phase=D_mixed_covt + +[Dataset] cur_step=7172 phase=D_mixed_covt[Dataset] cur_step=7172 phase=D_mixed_covt + +[Dataset] cur_step=7172 phase=D_mixed_covt[Dataset] cur_step=7172 phase=D_mixed_covt + + 80%|███████████████████████▉ | 7172/9000 [6:10:56<1:18:33, 2.58s/it][Dataset] cur_step=7172 phase=D_mixed_covt + {'loss': '2.947', 'grad_norm': '2.616', 'learning_rate': '5.431e-06', 'epoch': '0.258'} + 80%|███████████████████████▉ | 7172/9000 [6:10:56<1:18:33, 2.58s/it] {'lm_loss': '0.5435', 'visual_loss': '2.688', 'seg_loss': '0.8196', 'dino_loss': '0.9205', 'depth_loss': '0.2091', 'vggt_mse_loss': '0.208', 'vggt_cos_loss': '0.01087', 'pidinet_loss': '0.267', 'siglip_loss': '0.472', 'epoch': '0.258'} + 80%|███████████████████████▉ | 7172/9000 [6:10:59<1:18:33, 2.58s/it][Dataset] cur_step=7173 phase=D_mixed_covt +[Dataset] cur_step=7173 phase=D_mixed_covt[Dataset] cur_step=7173 phase=D_mixed_covt + +[Dataset] cur_step=7173 phase=D_mixed_covt +[Dataset] cur_step=7173 phase=D_mixed_covt +[Dataset] cur_step=7173 phase=D_mixed_covt +[Dataset] cur_step=7173 phase=D_mixed_covt + 80%|███████████████████████▉ | 7173/9000 [6:10:59<1:19:15, 2.60s/it][Dataset] cur_step=7173 phase=D_mixed_covt + {'loss': '3.295', 'grad_norm': '3.738', 'learning_rate': '5.425e-06', 'epoch': '0.258'} + 80%|███████████████████████▉ | 7173/9000 [6:11:01<1:19:15, 2.60s/it] {'lm_loss': '1.103', 'visual_loss': '2.609', 'seg_loss': '0.7441', 'dino_loss': '0.8895', 'depth_loss': '0.1804', 'vggt_mse_loss': '0.1795', 'vggt_cos_loss': '0.009957', 'pidinet_loss': '0.3351', 'siglip_loss': '0.4595', 'epoch': '0.258'} + 80%|███████████████████████▉ | 7173/9000 [6:11:04<1:19:15, 2.60s/it][Dataset] cur_step=7174 phase=D_mixed_covt[Dataset] cur_step=7174 phase=D_mixed_covt + +[Dataset] cur_step=7174 phase=D_mixed_covt +[Dataset] cur_step=7174 phase=D_mixed_covt +[Dataset] cur_step=7174 phase=D_mixed_covt + 80%|███████████████████████▉ | 7174/9000 [6:11:04<1:42:37, 3.37s/it][Dataset] cur_step=7174 phase=D_mixed_covt +[Dataset] cur_step=7174 phase=D_mixed_covt +[Dataset] cur_step=7174 phase=D_mixed_covt + {'loss': '3.459', 'grad_norm': '8.047', 'learning_rate': '5.419e-06', 'epoch': '0.2581'} + 80%|███████████████████████▉ | 7174/9000 [6:11:04<1:42:37, 3.37s/it] {'lm_loss': '0.9864', 'visual_loss': '2.669', 'seg_loss': '0.7561', 'dino_loss': '0.9431', 'depth_loss': '0.2121', 'vggt_mse_loss': '0.2107', 'vggt_cos_loss': '0.01401', 'pidinet_loss': '0.2094', 'siglip_loss': '0.5483', 'epoch': '0.2581'} + 80%|███████████████████████▉ | 7174/9000 [6:11:06<1:42:37, 3.37s/it][Dataset] cur_step=7175 phase=D_mixed_covt +[Dataset] cur_step=7175 phase=D_mixed_covt +[Dataset] cur_step=7175 phase=D_mixed_covt +[Dataset] cur_step=7175 phase=D_mixed_covt[Dataset] cur_step=7175 phase=D_mixed_covt + + 80%|███████████████████████▉ | 7175/9000 [6:11:06<1:29:45, 2.95s/it][Dataset] cur_step=7175 phase=D_mixed_covt +[Dataset] cur_step=7175 phase=D_mixed_covt +[Dataset] cur_step=7175 phase=D_mixed_covt + {'loss': '3.528', 'grad_norm': '3.361', 'learning_rate': '5.413e-06', 'epoch': '0.2581'} + 80%|███████████████████████▉ | 7175/9000 [6:11:06<1:29:45, 2.95s/it] {'lm_loss': '0.1125', 'visual_loss': '2.549', 'seg_loss': '0.7157', 'dino_loss': '0.9352', 'depth_loss': '0.1713', 'vggt_mse_loss': '0.17', 'vggt_cos_loss': '0.01324', 'pidinet_loss': '0.2149', 'siglip_loss': '0.5121', 'epoch': '0.2581'} + 80%|███████████████████████▉ | 7175/9000 [6:11:08<1:29:45, 2.95s/it][Dataset] cur_step=7176 phase=D_mixed_covt +[Dataset] cur_step=7176 phase=D_mixed_covt +[Dataset] cur_step=7176 phase=D_mixed_covt +[Dataset] cur_step=7176 phase=D_mixed_covt[Dataset] cur_step=7176 phase=D_mixed_covt + +[Dataset] cur_step=7176 phase=D_mixed_covt 80%|███████████████████████▉ | 7176/9000 [6:11:09<1:25:43, 2.82s/it] +[Dataset] cur_step=7176 phase=D_mixed_covt +[Dataset] cur_step=7176 phase=D_mixed_covt + {'loss': '3.11', 'grad_norm': '5.775', 'learning_rate': '5.408e-06', 'epoch': '0.2582'} + 80%|███████████████████████▉ | 7176/9000 [6:11:09<1:25:43, 2.82s/it] {'lm_loss': '0.5616', 'visual_loss': '1.89', 'seg_loss': '0.8483', 'dino_loss': '0', 'depth_loss': '0.235', 'vggt_mse_loss': '0.2332', 'vggt_cos_loss': '0.01745', 'pidinet_loss': '0.2605', 'siglip_loss': '0.5467', 'epoch': '0.2582'} + 80%|███████████████████████▉ | 7176/9000 [6:11:10<1:25:43, 2.82s/it][Dataset] cur_step=7177 phase=D_mixed_covt +[Dataset] cur_step=7177 phase=D_mixed_covt +[Dataset] cur_step=7177 phase=D_mixed_covt +[Dataset] cur_step=7177 phase=D_mixed_covt + 80%|███████████████████████▉ | 7177/9000 [6:11:13<1:37:32, 3.21s/it][Dataset] cur_step=7177 phase=D_mixed_covt +[Dataset] cur_step=7177 phase=D_mixed_covt +[Dataset] cur_step=7177 phase=D_mixed_covt +[Dataset] cur_step=7177 phase=D_mixed_covt + {'loss': '2.315', 'grad_norm': '5.384', 'learning_rate': '5.402e-06', 'epoch': '0.2582'} + 80%|███████████████████████▉ | 7177/9000 [6:11:13<1:37:32, 3.21s/it] {'lm_loss': '0.1923', 'visual_loss': '2.652', 'seg_loss': '0.2973', 'dino_loss': '0.8609', 'depth_loss': '0.143', 'vggt_mse_loss': '0.1424', 'vggt_cos_loss': '0.006419', 'pidinet_loss': '0.369', 'siglip_loss': '0.9816', 'epoch': '0.2582'} + 80%|███████████████████████▉ | 7177/9000 [6:11:14<1:37:32, 3.21s/it][Dataset] cur_step=7178 phase=D_mixed_covt +[Dataset] cur_step=7178 phase=D_mixed_covt + 80%|███████████████████████▉ | 7178/9000 [6:11:15<1:27:36, 2.89s/it][Dataset] cur_step=7178 phase=D_mixed_covt[Dataset] cur_step=7178 phase=D_mixed_covt[Dataset] cur_step=7178 phase=D_mixed_covt + + +[Dataset] cur_step=7178 phase=D_mixed_covt +[Dataset] cur_step=7178 phase=D_mixed_covt +[Dataset] cur_step=7178 phase=D_mixed_covt + {'loss': '3.172', 'grad_norm': '5.763', 'learning_rate': '5.396e-06', 'epoch': '0.2582'} + 80%|███████████████████████▉ | 7178/9000 [6:11:15<1:27:36, 2.89s/it] {'lm_loss': '0.6219', 'visual_loss': '1.959', 'seg_loss': '0.6595', 'dino_loss': '0.9161', 'depth_loss': '0.1355', 'vggt_mse_loss': '0.1346', 'vggt_cos_loss': '0.008116', 'pidinet_loss': '0.2479', 'siglip_loss': '0', 'epoch': '0.2582'} + 80%|███████████████████████▉ | 7178/9000 [6:11:17<1:27:36, 2.89s/it][Dataset] cur_step=7179 phase=D_mixed_covt +[Dataset] cur_step=7179 phase=D_mixed_covt + 80%|███████████████████████▉ | 7179/9000 [6:11:17<1:19:27, 2.62s/it][Dataset] cur_step=7179 phase=D_mixed_covt +[Dataset] cur_step=7179 phase=D_mixed_covt[Dataset] cur_step=7179 phase=D_mixed_covt + +[Dataset] cur_step=7179 phase=D_mixed_covt +[Dataset] cur_step=7179 phase=D_mixed_covt +[Dataset] cur_step=7179 phase=D_mixed_covt + {'loss': '2.821', 'grad_norm': '2.517', 'learning_rate': '5.391e-06', 'epoch': '0.2583'} + 80%|███████████████████████▉ | 7179/9000 [6:11:17<1:19:27, 2.62s/it] {'lm_loss': '0.4677', 'visual_loss': '2.583', 'seg_loss': '0.8487', 'dino_loss': '0.9295', 'depth_loss': '0.2022', 'vggt_mse_loss': '0.2008', 'vggt_cos_loss': '0.01344', 'pidinet_loss': '0', 'siglip_loss': '0.6023', 'epoch': '0.2583'} + 80%|███████████████████████▉ | 7179/9000 [6:11:19<1:19:27, 2.62s/it][Dataset] cur_step=7180 phase=D_mixed_covt +[Dataset] cur_step=7180 phase=D_mixed_covt +[Dataset] cur_step=7180 phase=D_mixed_covt +[Dataset] cur_step=7180 phase=D_mixed_covt +[Dataset] cur_step=7180 phase=D_mixed_covt +[Dataset] cur_step=7180 phase=D_mixed_covt +[Dataset] cur_step=7180 phase=D_mixed_covt +[Dataset] cur_step=7180 phase=D_mixed_covt + 80%|███████████████████████▉ | 7180/9000 [6:11:20<1:24:07, 2.77s/it] {'loss': '2.965', 'grad_norm': '4.064', 'learning_rate': '5.385e-06', 'epoch': '0.2583'} + 80%|███████████████████████▉ | 7180/9000 [6:11:20<1:24:07, 2.77s/it] {'lm_loss': '0.9274', 'visual_loss': '2.489', 'seg_loss': '0.7159', 'dino_loss': '0.9486', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2133', 'siglip_loss': '0.6107', 'epoch': '0.2583'} + 80%|███████████████████████▉ | 7180/9000 [6:11:23<1:24:07, 2.77s/it][Dataset] cur_step=7181 phase=D_mixed_covt + 80%|███████████████████████▉ | 7181/9000 [6:11:24<1:31:58, 3.03s/it][Dataset] cur_step=7181 phase=D_mixed_covt[Dataset] cur_step=7181 phase=D_mixed_covt + +[Dataset] cur_step=7181 phase=D_mixed_covt +[Dataset] cur_step=7181 phase=D_mixed_covt[Dataset] cur_step=7181 phase=D_mixed_covt + +[Dataset] cur_step=7181 phase=D_mixed_covt +[Dataset] cur_step=7181 phase=D_mixed_covt + {'loss': '3.166', 'grad_norm': '3.063', 'learning_rate': '5.379e-06', 'epoch': '0.2583'} + 80%|███████████████████████▉ | 7181/9000 [6:11:24<1:31:58, 3.03s/it] {'lm_loss': '1.045', 'visual_loss': '1.851', 'seg_loss': '0.5859', 'dino_loss': '0.8661', 'depth_loss': '0.1541', 'vggt_mse_loss': '0.1532', 'vggt_cos_loss': '0.009323', 'pidinet_loss': '0.2449', 'siglip_loss': '0', 'epoch': '0.2583'} + 80%|███████████████████████▉ | 7181/9000 [6:11:25<1:31:58, 3.03s/it][Dataset] cur_step=7182 phase=D_mixed_covt +[Dataset] cur_step=7182 phase=D_mixed_covt + 80%|███████████████████████▉ | 7182/9000 [6:11:26<1:23:40, 2.76s/it][Dataset] cur_step=7182 phase=D_mixed_covt +[Dataset] cur_step=7182 phase=D_mixed_covt +[Dataset] cur_step=7182 phase=D_mixed_covt +[Dataset] cur_step=7182 phase=D_mixed_covt +[Dataset] cur_step=7182 phase=D_mixed_covt +[Dataset] cur_step=7182 phase=D_mixed_covt + {'loss': '2.777', 'grad_norm': '4.894', 'learning_rate': '5.373e-06', 'epoch': '0.2584'} + 80%|███████████████████████▉ | 7182/9000 [6:11:26<1:23:40, 2.76s/it] {'lm_loss': '0.4452', 'visual_loss': '2.637', 'seg_loss': '0.8011', 'dino_loss': '0.9061', 'depth_loss': '0.2532', 'vggt_mse_loss': '0.2512', 'vggt_cos_loss': '0.01908', 'pidinet_loss': '0.2682', 'siglip_loss': '0.4083', 'epoch': '0.2584'} + 80%|███████████████████████▉ | 7182/9000 [6:11:29<1:23:40, 2.76s/it][Dataset] cur_step=7183 phase=D_mixed_covt +[Dataset] cur_step=7183 phase=D_mixed_covt +[Dataset] cur_step=7183 phase=D_mixed_covt[Dataset] cur_step=7183 phase=D_mixed_covt + +[Dataset] cur_step=7183 phase=D_mixed_covt[Dataset] cur_step=7183 phase=D_mixed_covt + +[Dataset] cur_step=7183 phase=D_mixed_covt[Dataset] cur_step=7183 phase=D_mixed_covt + + 80%|███████████████████████▉ | 7183/9000 [6:11:30<1:35:24, 3.15s/it] {'loss': '3.051', 'grad_norm': '3.433', 'learning_rate': '5.368e-06', 'epoch': '0.2584'} + 80%|███████████████████████▉ | 7183/9000 [6:11:30<1:35:24, 3.15s/it] {'lm_loss': '0.8576', 'visual_loss': '2.572', 'seg_loss': '0.6545', 'dino_loss': '0.9109', 'depth_loss': '0.3165', 'vggt_mse_loss': '0.3144', 'vggt_cos_loss': '0.02114', 'pidinet_loss': '0.2687', 'siglip_loss': '0.4211', 'epoch': '0.2584'} + 80%|███████████████████████▉ | 7183/9000 [6:11:31<1:35:24, 3.15s/it][Dataset] cur_step=7184 phase=D_mixed_covt +[Dataset] cur_step=7184 phase=D_mixed_covt[Dataset] cur_step=7184 phase=D_mixed_covt + +[Dataset] cur_step=7184 phase=D_mixed_covt +[Dataset] cur_step=7184 phase=D_mixed_covt[Dataset] cur_step=7184 phase=D_mixed_covt + +[Dataset] cur_step=7184 phase=D_mixed_covt +[Dataset] cur_step=7184 phase=D_mixed_covt + 80%|███████████████████████▉ | 7184/9000 [6:11:32<1:24:06, 2.78s/it] {'loss': '3.324', 'grad_norm': '2.581', 'learning_rate': '5.362e-06', 'epoch': '0.2584'} + 80%|███████████████████████▉ | 7184/9000 [6:11:32<1:24:06, 2.78s/it] {'lm_loss': '0.07406', 'visual_loss': '2.846', 'seg_loss': '0.6726', 'dino_loss': '0.9142', 'depth_loss': '0.2304', 'vggt_mse_loss': '0.2285', 'vggt_cos_loss': '0.01861', 'pidinet_loss': '0.2807', 'siglip_loss': '0.748', 'epoch': '0.2584'} + 80%|███████████████████████▉ | 7184/9000 [6:11:34<1:24:06, 2.78s/it][Dataset] cur_step=7185 phase=D_mixed_covt +[Dataset] cur_step=7185 phase=D_mixed_covt +[Dataset] cur_step=7185 phase=D_mixed_covt +[Dataset] cur_step=7185 phase=D_mixed_covt[Dataset] cur_step=7185 phase=D_mixed_covt + + 80%|███████████████████████▉ | 7185/9000 [6:11:35<1:29:10, 2.95s/it][Dataset] cur_step=7185 phase=D_mixed_covt +[Dataset] cur_step=7185 phase=D_mixed_covt +[Dataset] cur_step=7185 phase=D_mixed_covt + {'loss': '3.162', 'grad_norm': '2.37', 'learning_rate': '5.356e-06', 'epoch': '0.2585'} + 80%|███████████████████████▉ | 7185/9000 [6:11:35<1:29:10, 2.95s/it] {'lm_loss': '0.5048', 'visual_loss': '2.453', 'seg_loss': '0.6619', 'dino_loss': '0.9089', 'depth_loss': '0.3984', 'vggt_mse_loss': '0.3951', 'vggt_cos_loss': '0.03336', 'pidinet_loss': '0.1622', 'siglip_loss': '0.3213', 'epoch': '0.2585'} + 80%|███████████████████████▉ | 7185/9000 [6:11:37<1:29:10, 2.95s/it][Dataset] cur_step=7186 phase=D_mixed_covt +[Dataset] cur_step=7186 phase=D_mixed_covt[Dataset] cur_step=7186 phase=D_mixed_covt + +[Dataset] cur_step=7186 phase=D_mixed_covt + 80%|███████████████████████▉ | 7186/9000 [6:11:38<1:26:16, 2.85s/it][Dataset] cur_step=7186 phase=D_mixed_covt +[Dataset] cur_step=7186 phase=D_mixed_covt +[Dataset] cur_step=7186 phase=D_mixed_covt +[Dataset] cur_step=7186 phase=D_mixed_covt + {'loss': '3.311', 'grad_norm': '2.952', 'learning_rate': '5.351e-06', 'epoch': '0.2585'} + 80%|███████████████████████▉ | 7186/9000 [6:11:38<1:26:16, 2.85s/it] {'lm_loss': '0.2085', 'visual_loss': '3.156', 'seg_loss': '0.7263', 'dino_loss': '0.9624', 'depth_loss': '0.3061', 'vggt_mse_loss': '0.3046', 'vggt_cos_loss': '0.01504', 'pidinet_loss': '0.2456', 'siglip_loss': '0.9156', 'epoch': '0.2585'} + 80%|███████████████████████▉ | 7186/9000 [6:11:39<1:26:16, 2.85s/it][Dataset] cur_step=7187 phase=D_mixed_covt[Dataset] cur_step=7187 phase=D_mixed_covt + +[Dataset] cur_step=7187 phase=D_mixed_covt +[Dataset] cur_step=7187 phase=D_mixed_covt +[Dataset] cur_step=7187 phase=D_mixed_covt +[Dataset] cur_step=7187 phase=D_mixed_covt +[Dataset] cur_step=7187 phase=D_mixed_covt 80%|███████████████████████▉ | 7187/9000 [6:11:40<1:17:04, 2.55s/it] +[Dataset] cur_step=7187 phase=D_mixed_covt + {'loss': '3.212', 'grad_norm': '4.746', 'learning_rate': '5.345e-06', 'epoch': '0.2586'} + 80%|███████████████████████▉ | 7187/9000 [6:11:40<1:17:04, 2.55s/it] {'lm_loss': '0.8995', 'visual_loss': '2.328', 'seg_loss': '0.6221', 'dino_loss': '0.9424', 'depth_loss': '0.2761', 'vggt_mse_loss': '0.2742', 'vggt_cos_loss': '0.01908', 'pidinet_loss': '0', 'siglip_loss': '0.4871', 'epoch': '0.2586'} + 80%|███████████████████████▉ | 7187/9000 [6:11:42<1:17:04, 2.55s/it][Dataset] cur_step=7188 phase=D_mixed_covt +[Dataset] cur_step=7188 phase=D_mixed_covt +[Dataset] cur_step=7188 phase=D_mixed_covt +[Dataset] cur_step=7188 phase=D_mixed_covt +[Dataset] cur_step=7188 phase=D_mixed_covt[Dataset] cur_step=7188 phase=D_mixed_covt + +[Dataset] cur_step=7188 phase=D_mixed_covt + 80%|███████████████████████▉ | 7188/9000 [6:11:43<1:25:46, 2.84s/it][Dataset] cur_step=7188 phase=D_mixed_covt + {'loss': '2.992', 'grad_norm': '3.151', 'learning_rate': '5.339e-06', 'epoch': '0.2586'} + 80%|███████████████████████▉ | 7188/9000 [6:11:43<1:25:46, 2.84s/it] {'lm_loss': '0.6539', 'visual_loss': '2.461', 'seg_loss': '0.615', 'dino_loss': '0.8965', 'depth_loss': '0.2255', 'vggt_mse_loss': '0.2238', 'vggt_cos_loss': '0.0168', 'pidinet_loss': '0.067', 'siglip_loss': '0.6568', 'epoch': '0.2586'} + 80%|███████████████████████▉ | 7188/9000 [6:11:45<1:25:46, 2.84s/it][Dataset] cur_step=7189 phase=D_mixed_covt +[Dataset] cur_step=7189 phase=D_mixed_covt[Dataset] cur_step=7189 phase=D_mixed_covt + +[Dataset] cur_step=7189 phase=D_mixed_covt[Dataset] cur_step=7189 phase=D_mixed_covt[Dataset] cur_step=7189 phase=D_mixed_covt[Dataset] cur_step=7189 phase=D_mixed_covt + + + +[Dataset] cur_step=7189 phase=D_mixed_covt + 80%|███████████████████████▉ | 7189/9000 [6:11:46<1:25:17, 2.83s/it] {'loss': '3.132', 'grad_norm': '4.772', 'learning_rate': '5.334e-06', 'epoch': '0.2586'} + 80%|███████████████████████▉ | 7189/9000 [6:11:46<1:25:17, 2.83s/it] {'lm_loss': '0.1323', 'visual_loss': '3.019', 'seg_loss': '0.7027', 'dino_loss': '0.9404', 'depth_loss': '0.2804', 'vggt_mse_loss': '0.2786', 'vggt_cos_loss': '0.0177', 'pidinet_loss': '0.2346', 'siglip_loss': '0.8606', 'epoch': '0.2586'} + 80%|███████████████████████▉ | 7189/9000 [6:11:48<1:25:17, 2.83s/it][Dataset] cur_step=7190 phase=D_mixed_covt +[Dataset] cur_step=7190 phase=D_mixed_covt +[Dataset] cur_step=7190 phase=D_mixed_covt[Dataset] cur_step=7190 phase=D_mixed_covt + +[Dataset] cur_step=7190 phase=D_mixed_covt[Dataset] cur_step=7190 phase=D_mixed_covt + +[Dataset] cur_step=7190 phase=D_mixed_covt + 80%|███████████████████████▉ | 7190/9000 [6:11:48<1:22:57, 2.75s/it][Dataset] cur_step=7190 phase=D_mixed_covt + {'loss': '3.232', 'grad_norm': '3.146', 'learning_rate': '5.328e-06', 'epoch': '0.2587'} + 80%|███████████████████████▉ | 7190/9000 [6:11:49<1:22:57, 2.75s/it] {'lm_loss': '0.1264', 'visual_loss': '2.132', 'seg_loss': '0.6091', 'dino_loss': '0.9361', 'depth_loss': '0.2322', 'vggt_mse_loss': '0.2309', 'vggt_cos_loss': '0.0132', 'pidinet_loss': '0', 'siglip_loss': '0.3546', 'epoch': '0.2587'} + 80%|███████████████████████▉ | 7190/9000 [6:11:51<1:22:57, 2.75s/it][Dataset] cur_step=7191 phase=D_mixed_covt[Dataset] cur_step=7191 phase=D_mixed_covt + +[Dataset] cur_step=7191 phase=D_mixed_covt +[Dataset] cur_step=7191 phase=D_mixed_covt[Dataset] cur_step=7191 phase=D_mixed_covt 80%|███████████████████████▉ | 7191/9000 [6:11:51<1:20:42, 2.68s/it][Dataset] cur_step=7191 phase=D_mixed_covt + + +[Dataset] cur_step=7191 phase=D_mixed_covt +[Dataset] cur_step=7191 phase=D_mixed_covt + {'loss': '3.098', 'grad_norm': '12.85', 'learning_rate': '5.322e-06', 'epoch': '0.2587'} + 80%|███████████████████████▉ | 7191/9000 [6:11:51<1:20:42, 2.68s/it] {'lm_loss': '0.1046', 'visual_loss': '2.211', 'seg_loss': '0.6967', 'dino_loss': '0.9317', 'depth_loss': '0.1659', 'vggt_mse_loss': '0.165', 'vggt_cos_loss': '0.009541', 'pidinet_loss': '0.1477', 'siglip_loss': '0.2685', 'epoch': '0.2587'} + 80%|███████████████████████▉ | 7191/9000 [6:11:53<1:20:42, 2.68s/it][Dataset] cur_step=7192 phase=D_mixed_covt +[Dataset] cur_step=7192 phase=D_mixed_covt[Dataset] cur_step=7192 phase=D_mixed_covt +[Dataset] cur_step=7192 phase=D_mixed_covt + +[Dataset] cur_step=7192 phase=D_mixed_covt[Dataset] cur_step=7192 phase=D_mixed_covt + + 80%|███████████████████████▉ | 7192/9000 [6:11:54<1:20:03, 2.66s/it][Dataset] cur_step=7192 phase=D_mixed_covt +[Dataset] cur_step=7192 phase=D_mixed_covt + {'loss': '3.144', 'grad_norm': '2.888', 'learning_rate': '5.317e-06', 'epoch': '0.2587'} + 80%|███████████████████████▉ | 7192/9000 [6:11:54<1:20:03, 2.66s/it] {'lm_loss': '0.03344', 'visual_loss': '2.808', 'seg_loss': '0.7265', 'dino_loss': '0.8894', 'depth_loss': '0.4019', 'vggt_mse_loss': '0.3984', 'vggt_cos_loss': '0.03523', 'pidinet_loss': '0.2436', 'siglip_loss': '0.5465', 'epoch': '0.2587'} + 80%|███████████████████████▉ | 7192/9000 [6:11:57<1:20:03, 2.66s/it][Dataset] cur_step=7193 phase=D_mixed_covt +[Dataset] cur_step=7193 phase=D_mixed_covt[Dataset] cur_step=7193 phase=D_mixed_covt + +[Dataset] cur_step=7193 phase=D_mixed_covt +[Dataset] cur_step=7193 phase=D_mixed_covt +[Dataset] cur_step=7193 phase=D_mixed_covt +[Dataset] cur_step=7193 phase=D_mixed_covt 80%|███████████████████████▉ | 7193/9000 [6:11:58<1:32:37, 3.08s/it] +[Dataset] cur_step=7193 phase=D_mixed_covt + {'loss': '3.201', 'grad_norm': '2.889', 'learning_rate': '5.311e-06', 'epoch': '0.2588'} + 80%|███████████████████████▉ | 7193/9000 [6:11:58<1:32:37, 3.08s/it] {'lm_loss': '0.6162', 'visual_loss': '3.052', 'seg_loss': '0.8903', 'dino_loss': '0.9338', 'depth_loss': '0.1748', 'vggt_mse_loss': '0.1735', 'vggt_cos_loss': '0.01272', 'pidinet_loss': '0.2122', 'siglip_loss': '0.8409', 'epoch': '0.2588'} + 80%|███████████████████████▉ | 7193/9000 [6:11:59<1:32:37, 3.08s/it][Dataset] cur_step=7194 phase=D_mixed_covt +[Dataset] cur_step=7194 phase=D_mixed_covt[Dataset] cur_step=7194 phase=D_mixed_covt[Dataset] cur_step=7194 phase=D_mixed_covt + + +[Dataset] cur_step=7194 phase=D_mixed_covt 80%|███████████████████████▉ | 7194/9000 [6:12:00<1:28:45, 2.95s/it] +[Dataset] cur_step=7194 phase=D_mixed_covt[Dataset] cur_step=7194 phase=D_mixed_covt + +[Dataset] cur_step=7194 phase=D_mixed_covt + {'loss': '3.233', 'grad_norm': '3.915', 'learning_rate': '5.305e-06', 'epoch': '0.2588'} + 80%|███████████████████████▉ | 7194/9000 [6:12:00<1:28:45, 2.95s/it] {'lm_loss': '0.5518', 'visual_loss': '2.558', 'seg_loss': '0.5699', 'dino_loss': '0.9466', 'depth_loss': '0.2581', 'vggt_mse_loss': '0.2563', 'vggt_cos_loss': '0.01831', 'pidinet_loss': '0.2311', 'siglip_loss': '0.5528', 'epoch': '0.2588'} + 80%|███████████████████████▉ | 7194/9000 [6:12:03<1:28:45, 2.95s/it][Dataset] cur_step=7195 phase=D_mixed_covt +[Dataset] cur_step=7195 phase=D_mixed_covt +[Dataset] cur_step=7195 phase=D_mixed_covt[Dataset] cur_step=7195 phase=D_mixed_covt +[Dataset] cur_step=7195 phase=D_mixed_covt + +[Dataset] cur_step=7195 phase=D_mixed_covt 80%|███████████████████████▉ | 7195/9000 [6:12:03<1:27:36, 2.91s/it] +[Dataset] cur_step=7195 phase=D_mixed_covt +[Dataset] cur_step=7195 phase=D_mixed_covt + {'loss': '3.205', 'grad_norm': '5.189', 'learning_rate': '5.3e-06', 'epoch': '0.2588'} + 80%|███████████████████████▉ | 7195/9000 [6:12:03<1:27:36, 2.91s/it] {'lm_loss': '0.8779', 'visual_loss': '3.057', 'seg_loss': '0.7709', 'dino_loss': '0.9251', 'depth_loss': '0.2347', 'vggt_mse_loss': '0.2333', 'vggt_cos_loss': '0.01491', 'pidinet_loss': '0.2199', 'siglip_loss': '0.9065', 'epoch': '0.2588'} + 80%|███████████████████████▉ | 7195/9000 [6:12:05<1:27:36, 2.91s/it][Dataset] cur_step=7196 phase=D_mixed_covt +[Dataset] cur_step=7196 phase=D_mixed_covt +[Dataset] cur_step=7196 phase=D_mixed_covt +[Dataset] cur_step=7196 phase=D_mixed_covt +[Dataset] cur_step=7196 phase=D_mixed_covt +[Dataset] cur_step=7196 phase=D_mixed_covt +[Dataset] cur_step=7196 phase=D_mixed_covt +[Dataset] cur_step=7196 phase=D_mixed_covt + 80%|███████████████████████▉ | 7196/9000 [6:12:06<1:24:54, 2.82s/it] {'loss': '3.473', 'grad_norm': '4.289', 'learning_rate': '5.294e-06', 'epoch': '0.2589'} + 80%|███████████████████████▉ | 7196/9000 [6:12:06<1:24:54, 2.82s/it] {'lm_loss': '0.5672', 'visual_loss': '2.706', 'seg_loss': '0.6936', 'dino_loss': '0.915', 'depth_loss': '0.2177', 'vggt_mse_loss': '0.2161', 'vggt_cos_loss': '0.01602', 'pidinet_loss': '0.2022', 'siglip_loss': '0.6776', 'epoch': '0.2589'} + 80%|███████████████████████▉ | 7196/9000 [6:12:09<1:24:54, 2.82s/it][Dataset] cur_step=7197 phase=D_mixed_covt +[Dataset] cur_step=7197 phase=D_mixed_covt[Dataset] cur_step=7197 phase=D_mixed_covt + +[Dataset] cur_step=7197 phase=D_mixed_covt[Dataset] cur_step=7197 phase=D_mixed_covt + +[Dataset] cur_step=7197 phase=D_mixed_covt 80%|███████████████████████▉ | 7197/9000 [6:12:10<1:34:37, 3.15s/it] +[Dataset] cur_step=7197 phase=D_mixed_covt +[Dataset] cur_step=7197 phase=D_mixed_covt + {'loss': '3.286', 'grad_norm': '4.707', 'learning_rate': '5.288e-06', 'epoch': '0.2589'} + 80%|███████████████████████▉ | 7197/9000 [6:12:10<1:34:37, 3.15s/it] {'lm_loss': '0.4685', 'visual_loss': '3.417', 'seg_loss': '0.802', 'dino_loss': '0.9018', 'depth_loss': '0.2401', 'vggt_mse_loss': '0.2383', 'vggt_cos_loss': '0.01878', 'pidinet_loss': '0.2873', 'siglip_loss': '1.186', 'epoch': '0.2589'} + 80%|███████████████████████▉ | 7197/9000 [6:12:12<1:34:37, 3.15s/it][Dataset] cur_step=7198 phase=D_mixed_covt[Dataset] cur_step=7198 phase=D_mixed_covt + +[Dataset] cur_step=7198 phase=D_mixed_covt +[Dataset] cur_step=7198 phase=D_mixed_covt +[Dataset] cur_step=7198 phase=D_mixed_covt + 80%|███████████████████████▉ | 7198/9000 [6:12:13<1:35:55, 3.19s/it][Dataset] cur_step=7198 phase=D_mixed_covt +[Dataset] cur_step=7198 phase=D_mixed_covt +[Dataset] cur_step=7198 phase=D_mixed_covt + {'loss': '3.36', 'grad_norm': '6.208', 'learning_rate': '5.283e-06', 'epoch': '0.2589'} + 80%|███████████████████████▉ | 7198/9000 [6:12:13<1:35:55, 3.19s/it] {'lm_loss': '0.2264', 'visual_loss': '2.073', 'seg_loss': '0.6683', 'dino_loss': '0.8913', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.1386', 'siglip_loss': '0.3744', 'epoch': '0.2589'} + 80%|███████████████████████▉ | 7198/9000 [6:12:15<1:35:55, 3.19s/it][Dataset] cur_step=7199 phase=D_mixed_covt +[Dataset] cur_step=7199 phase=D_mixed_covt + 80%|███████████████████████▉ | 7199/9000 [6:12:15<1:25:39, 2.85s/it][Dataset] cur_step=7199 phase=D_mixed_covt +[Dataset] cur_step=7199 phase=D_mixed_covt[Dataset] cur_step=7199 phase=D_mixed_covt + +[Dataset] cur_step=7199 phase=D_mixed_covt[Dataset] cur_step=7199 phase=D_mixed_covt + +[Dataset] cur_step=7199 phase=D_mixed_covt + {'loss': '3.241', 'grad_norm': '2.828', 'learning_rate': '5.277e-06', 'epoch': '0.259'} + 80%|███████████████████████▉ | 7199/9000 [6:12:15<1:25:39, 2.85s/it] {'lm_loss': '0.5948', 'visual_loss': '2.43', 'seg_loss': '0.7413', 'dino_loss': '0.8892', 'depth_loss': '0.2353', 'vggt_mse_loss': '0.2334', 'vggt_cos_loss': '0.0191', 'pidinet_loss': '0.1991', 'siglip_loss': '0.3647', 'epoch': '0.259'} + 80%|███████████████████████▉ | 7199/9000 [6:12:17<1:25:39, 2.85s/it][Dataset] cur_step=7200 phase=D_mixed_covt +[Dataset] cur_step=7200 phase=D_mixed_covt +[Dataset] cur_step=7200 phase=D_mixed_covt +[Dataset] cur_step=7200 phase=D_mixed_covt 80%|████████████████████████ | 7200/9000 [6:12:18<1:23:42, 2.79s/it] +[Dataset] cur_step=7200 phase=D_mixed_covt +[Dataset] cur_step=7200 phase=D_mixed_covt[Dataset] cur_step=7200 phase=D_mixed_covt + +[Dataset] cur_step=7200 phase=D_mixed_covt + {'loss': '3.324', 'grad_norm': '4.576', 'learning_rate': '5.271e-06', 'epoch': '0.259'} + 80%|████████████████████████ | 7200/9000 [6:12:18<1:23:42, 2.79s/it] {'lm_loss': '0.066', 'visual_loss': '2.714', 'seg_loss': '0.8838', 'dino_loss': '0.8985', 'depth_loss': '0.2744', 'vggt_mse_loss': '0.2724', 'vggt_cos_loss': '0.02002', 'pidinet_loss': '0.2668', 'siglip_loss': '0.3904', 'epoch': '0.259'} + 80%|████████████████████████ | 7200/9000 [6:12:21<1:23:42, 2.79s/it][Dataset] cur_step=7201 phase=D_mixed_covt +[Dataset] cur_step=7201 phase=D_mixed_covt +[Dataset] cur_step=7201 phase=D_mixed_covt[Dataset] cur_step=7201 phase=D_mixed_covt +[Dataset] cur_step=7201 phase=D_mixed_covt + +[Dataset] cur_step=7201 phase=D_mixed_covt[Dataset] cur_step=7201 phase=D_mixed_covt + + 80%|████████████████████████ | 7201/9000 [6:12:22<1:35:04, 3.17s/it][Dataset] cur_step=7201 phase=D_mixed_covt + {'loss': '3.316', 'grad_norm': '2.347', 'learning_rate': '5.266e-06', 'epoch': '0.2591'} + 80%|████████████████████████ | 7201/9000 [6:12:22<1:35:04, 3.17s/it] {'lm_loss': '0.683', 'visual_loss': '2.976', 'seg_loss': '0.8053', 'dino_loss': '0.9275', 'depth_loss': '0.2931', 'vggt_mse_loss': '0.2912', 'vggt_cos_loss': '0.01902', 'pidinet_loss': '0.2577', 'siglip_loss': '0.6924', 'epoch': '0.2591'} + 80%|████████████████████████ | 7201/9000 [6:12:24<1:35:04, 3.17s/it][Dataset] cur_step=7202 phase=D_mixed_covt +[Dataset] cur_step=7202 phase=D_mixed_covt +[Dataset] cur_step=7202 phase=D_mixed_covt +[Dataset] cur_step=7202 phase=D_mixed_covt +[Dataset] cur_step=7202 phase=D_mixed_covt[Dataset] cur_step=7202 phase=D_mixed_covt +[Dataset] cur_step=7202 phase=D_mixed_covt +[Dataset] cur_step=7202 phase=D_mixed_covt + + 80%|████████████████████████ | 7202/9000 [6:12:25<1:37:29, 3.25s/it] {'loss': '3.298', 'grad_norm': '3.8', 'learning_rate': '5.26e-06', 'epoch': '0.2591'} + 80%|████████████████████████ | 7202/9000 [6:12:25<1:37:29, 3.25s/it] {'lm_loss': '0.5564', 'visual_loss': '2.919', 'seg_loss': '0.7699', 'dino_loss': '0.928', 'depth_loss': '0.222', 'vggt_mse_loss': '0.2202', 'vggt_cos_loss': '0.01766', 'pidinet_loss': '0.2918', 'siglip_loss': '0.7077', 'epoch': '0.2591'} + 80%|████████████████████████ | 7202/9000 [6:12:28<1:37:29, 3.25s/it][Dataset] cur_step=7203 phase=D_mixed_covt +[Dataset] cur_step=7203 phase=D_mixed_covt +[Dataset] cur_step=7203 phase=D_mixed_covt[Dataset] cur_step=7203 phase=D_mixed_covt + +[Dataset] cur_step=7203 phase=D_mixed_covt +[Dataset] cur_step=7203 phase=D_mixed_covt[Dataset] cur_step=7203 phase=D_mixed_covt + +[Dataset] cur_step=7203 phase=D_mixed_covt + 80%|████████████████████████ | 7203/9000 [6:12:28<1:35:55, 3.20s/it] {'loss': '3.522', 'grad_norm': '3.655', 'learning_rate': '5.255e-06', 'epoch': '0.2591'} + 80%|████████████████████████ | 7203/9000 [6:12:28<1:35:55, 3.20s/it] {'lm_loss': '0.4838', 'visual_loss': '2.123', 'seg_loss': '0.4498', 'dino_loss': '0.905', 'depth_loss': '0.2569', 'vggt_mse_loss': '0.2544', 'vggt_cos_loss': '0.02499', 'pidinet_loss': '0', 'siglip_loss': '0.5113', 'epoch': '0.2591'} + 80%|████████████████████████ | 7203/9000 [6:12:30<1:35:55, 3.20s/it][Dataset] cur_step=7204 phase=D_mixed_covt +[Dataset] cur_step=7204 phase=D_mixed_covt +[Dataset] cur_step=7204 phase=D_mixed_covt[Dataset] cur_step=7204 phase=D_mixed_covt +[Dataset] cur_step=7204 phase=D_mixed_covt + +[Dataset] cur_step=7204 phase=D_mixed_covt +[Dataset] cur_step=7204 phase=D_mixed_covt 80%|████████████████████████ | 7204/9000 [6:12:30<1:24:28, 2.82s/it] +[Dataset] cur_step=7204 phase=D_mixed_covt + {'loss': '2.985', 'grad_norm': '3.845', 'learning_rate': '5.249e-06', 'epoch': '0.2592'} + 80%|████████████████████████ | 7204/9000 [6:12:30<1:24:28, 2.82s/it] {'lm_loss': '0.7644', 'visual_loss': '3.173', 'seg_loss': '0.8031', 'dino_loss': '0.9184', 'depth_loss': '0.1755', 'vggt_mse_loss': '0.1742', 'vggt_cos_loss': '0.01351', 'pidinet_loss': '0.258', 'siglip_loss': '1.018', 'epoch': '0.2592'} + 80%|████████████████████████ | 7204/9000 [6:12:33<1:24:28, 2.82s/it][Dataset] cur_step=7205 phase=D_mixed_covt[Dataset] cur_step=7205 phase=D_mixed_covt + + 80%|████████████████████████ | 7205/9000 [6:12:33<1:23:15, 2.78s/it][Dataset] cur_step=7205 phase=D_mixed_covt +[Dataset] cur_step=7205 phase=D_mixed_covt +[Dataset] cur_step=7205 phase=D_mixed_covt[Dataset] cur_step=7205 phase=D_mixed_covt + +[Dataset] cur_step=7205 phase=D_mixed_covt +[Dataset] cur_step=7205 phase=D_mixed_covt + {'loss': '3.169', 'grad_norm': '3.908', 'learning_rate': '5.243e-06', 'epoch': '0.2592'} + 80%|████████████████████████ | 7205/9000 [6:12:33<1:23:15, 2.78s/it] {'lm_loss': '0.7894', 'visual_loss': '2.811', 'seg_loss': '0.7792', 'dino_loss': '0.93', 'depth_loss': '0.3526', 'vggt_mse_loss': '0.3505', 'vggt_cos_loss': '0.02029', 'pidinet_loss': '0.2405', 'siglip_loss': '0.5084', 'epoch': '0.2592'} + 80%|████████████████████████ | 7205/9000 [6:12:35<1:23:15, 2.78s/it][Dataset] cur_step=7206 phase=D_mixed_covt +[Dataset] cur_step=7206 phase=D_mixed_covt +[Dataset] cur_step=7206 phase=D_mixed_covt +[Dataset] cur_step=7206 phase=D_mixed_covt +[Dataset] cur_step=7206 phase=D_mixed_covt + 80%|████████████████████████ | 7206/9000 [6:12:36<1:26:03, 2.88s/it][Dataset] cur_step=7206 phase=D_mixed_covt +[Dataset] cur_step=7206 phase=D_mixed_covt +[Dataset] cur_step=7206 phase=D_mixed_covt + {'loss': '3.443', 'grad_norm': '4.029', 'learning_rate': '5.238e-06', 'epoch': '0.2592'} + 80%|████████████████████████ | 7206/9000 [6:12:36<1:26:03, 2.88s/it] {'lm_loss': '0.3138', 'visual_loss': '3.105', 'seg_loss': '0.96', 'dino_loss': '0.937', 'depth_loss': '0.262', 'vggt_mse_loss': '0.2601', 'vggt_cos_loss': '0.0187', 'pidinet_loss': '0.2414', 'siglip_loss': '0.705', 'epoch': '0.2592'} + 80%|████████████████████████ | 7206/9000 [6:12:38<1:26:03, 2.88s/it][Dataset] cur_step=7207 phase=D_mixed_covt +[Dataset] cur_step=7207 phase=D_mixed_covt[Dataset] cur_step=7207 phase=D_mixed_covt + +[Dataset] cur_step=7207 phase=D_mixed_covt[Dataset] cur_step=7207 phase=D_mixed_covt + +[Dataset] cur_step=7207 phase=D_mixed_covt +[Dataset] cur_step=7207 phase=D_mixed_covt + 80%|████████████████████████ | 7207/9000 [6:12:39<1:23:03, 2.78s/it][Dataset] cur_step=7207 phase=D_mixed_covt + {'loss': '3.139', 'grad_norm': '7.488', 'learning_rate': '5.232e-06', 'epoch': '0.2593'} + 80%|████████████████████████ | 7207/9000 [6:12:39<1:23:03, 2.78s/it] {'lm_loss': '0.9147', 'visual_loss': '3.604', 'seg_loss': '0.801', 'dino_loss': '0.8728', 'depth_loss': '0.8185', 'vggt_mse_loss': '0.8142', 'vggt_cos_loss': '0.04248', 'pidinet_loss': '0.318', 'siglip_loss': '0.7942', 'epoch': '0.2593'} + 80%|████████████████████████ | 7207/9000 [6:12:41<1:23:03, 2.78s/it][Dataset] cur_step=7208 phase=D_mixed_covt +[Dataset] cur_step=7208 phase=D_mixed_covt +[Dataset] cur_step=7208 phase=D_mixed_covt +[Dataset] cur_step=7208 phase=D_mixed_covt +[Dataset] cur_step=7208 phase=D_mixed_covt[Dataset] cur_step=7208 phase=D_mixed_covt + +[Dataset] cur_step=7208 phase=D_mixed_covt + 80%|████████████████████████ | 7208/9000 [6:12:41<1:20:50, 2.71s/it][Dataset] cur_step=7208 phase=D_mixed_covt + {'loss': '3.333', 'grad_norm': '4.966', 'learning_rate': '5.226e-06', 'epoch': '0.2593'} + 80%|████████████████████████ | 7208/9000 [6:12:41<1:20:50, 2.71s/it] {'lm_loss': '1.111', 'visual_loss': '2.489', 'seg_loss': '0.688', 'dino_loss': '0.8809', 'depth_loss': '0.1843', 'vggt_mse_loss': '0.1829', 'vggt_cos_loss': '0.01383', 'pidinet_loss': '0.2186', 'siglip_loss': '0.5168', 'epoch': '0.2593'} + 80%|████████████████████████ | 7208/9000 [6:12:43<1:20:50, 2.71s/it][Dataset] cur_step=7209 phase=D_mixed_covt +[Dataset] cur_step=7209 phase=D_mixed_covt[Dataset] cur_step=7209 phase=D_mixed_covt +[Dataset] cur_step=7209 phase=D_mixed_covt + +[Dataset] cur_step=7209 phase=D_mixed_covt 80%|████████████████████████ | 7209/9000 [6:12:44<1:19:02, 2.65s/it][Dataset] cur_step=7209 phase=D_mixed_covt + +[Dataset] cur_step=7209 phase=D_mixed_covt +[Dataset] cur_step=7209 phase=D_mixed_covt + {'loss': '3.195', 'grad_norm': '2.857', 'learning_rate': '5.221e-06', 'epoch': '0.2593'} + 80%|████████████████████████ | 7209/9000 [6:12:44<1:19:02, 2.65s/it] {'lm_loss': '0.6106', 'visual_loss': '3.395', 'seg_loss': '0.6761', 'dino_loss': '0.9766', 'depth_loss': '0.5178', 'vggt_mse_loss': '0.5136', 'vggt_cos_loss': '0.04182', 'pidinet_loss': '0.2579', 'siglip_loss': '0.9671', 'epoch': '0.2593'} + 80%|████████████████████████ | 7209/9000 [6:12:47<1:19:02, 2.65s/it][Dataset] cur_step=7210 phase=D_mixed_covt +[Dataset] cur_step=7210 phase=D_mixed_covt + 80%|████████████████████████ | 7210/9000 [6:12:47<1:27:14, 2.92s/it][Dataset] cur_step=7210 phase=D_mixed_covt +[Dataset] cur_step=7210 phase=D_mixed_covt +[Dataset] cur_step=7210 phase=D_mixed_covt[Dataset] cur_step=7210 phase=D_mixed_covt + +[Dataset] cur_step=7210 phase=D_mixed_covt[Dataset] cur_step=7210 phase=D_mixed_covt + + {'loss': '3.406', 'grad_norm': '3.971', 'learning_rate': '5.215e-06', 'epoch': '0.2594'} + 80%|████████████████████████ | 7210/9000 [6:12:47<1:27:14, 2.92s/it] {'lm_loss': '1.136', 'visual_loss': '3.027', 'seg_loss': '0.805', 'dino_loss': '0.8966', 'depth_loss': '0.3125', 'vggt_mse_loss': '0.3103', 'vggt_cos_loss': '0.02238', 'pidinet_loss': '0.2294', 'siglip_loss': '0.7836', 'epoch': '0.2594'} + 80%|████████████████████████ | 7210/9000 [6:12:49<1:27:14, 2.92s/it][Dataset] cur_step=7211 phase=D_mixed_covt[Dataset] cur_step=7211 phase=D_mixed_covt +[Dataset] cur_step=7211 phase=D_mixed_covt[Dataset] cur_step=7211 phase=D_mixed_covt + + + 80%|████████████████████████ | 7211/9000 [6:12:49<1:19:51, 2.68s/it][Dataset] cur_step=7211 phase=D_mixed_covt[Dataset] cur_step=7211 phase=D_mixed_covt + +[Dataset] cur_step=7211 phase=D_mixed_covt +[Dataset] cur_step=7211 phase=D_mixed_covt + {'loss': '3.45', 'grad_norm': '2.411', 'learning_rate': '5.21e-06', 'epoch': '0.2594'} + 80%|████████████████████████ | 7211/9000 [6:12:49<1:19:51, 2.68s/it] {'lm_loss': '0.4387', 'visual_loss': '2.533', 'seg_loss': '0.5424', 'dino_loss': '0.9117', 'depth_loss': '0.2543', 'vggt_mse_loss': '0.252', 'vggt_cos_loss': '0.02313', 'pidinet_loss': '0.2285', 'siglip_loss': '0.5959', 'epoch': '0.2594'} + 80%|████████████████████████ | 7211/9000 [6:12:51<1:19:51, 2.68s/it][Dataset] cur_step=7212 phase=D_mixed_covt[Dataset] cur_step=7212 phase=D_mixed_covt + +[Dataset] cur_step=7212 phase=D_mixed_covt +[Dataset] cur_step=7212 phase=D_mixed_covt[Dataset] cur_step=7212 phase=D_mixed_covt + +[Dataset] cur_step=7212 phase=D_mixed_covt +[Dataset] cur_step=7212 phase=D_mixed_covt +[Dataset] cur_step=7212 phase=D_mixed_covt + 80%|████████████████████████ | 7212/9000 [6:12:52<1:19:24, 2.66s/it] {'loss': '3.681', 'grad_norm': '4.369', 'learning_rate': '5.204e-06', 'epoch': '0.2595'} + 80%|████████████████████████ | 7212/9000 [6:12:52<1:19:24, 2.66s/it] {'lm_loss': '0.09701', 'visual_loss': '2.519', 'seg_loss': '0.6967', 'dino_loss': '0.8848', 'depth_loss': '0.1727', 'vggt_mse_loss': '0.1714', 'vggt_cos_loss': '0.01313', 'pidinet_loss': '0.3144', 'siglip_loss': '0.4504', 'epoch': '0.2595'} + 80%|████████████████████████ | 7212/9000 [6:12:54<1:19:24, 2.66s/it][Dataset] cur_step=7213 phase=D_mixed_covt +[Dataset] cur_step=7213 phase=D_mixed_covt +[Dataset] cur_step=7213 phase=D_mixed_covt + 80%|████████████████████████ | 7213/9000 [6:12:55<1:19:53, 2.68s/it][Dataset] cur_step=7213 phase=D_mixed_covt +[Dataset] cur_step=7213 phase=D_mixed_covt +[Dataset] cur_step=7213 phase=D_mixed_covt +[Dataset] cur_step=7213 phase=D_mixed_covt +[Dataset] cur_step=7213 phase=D_mixed_covt + {'loss': '3.308', 'grad_norm': '2.598', 'learning_rate': '5.198e-06', 'epoch': '0.2595'} + 80%|████████████████████████ | 7213/9000 [6:12:55<1:19:53, 2.68s/it] {'lm_loss': '0.3915', 'visual_loss': '2.51', 'seg_loss': '0.6561', 'dino_loss': '0.9295', 'depth_loss': '0.2165', 'vggt_mse_loss': '0.215', 'vggt_cos_loss': '0.01498', 'pidinet_loss': '0.2892', 'siglip_loss': '0.4185', 'epoch': '0.2595'} + 80%|████████████████████████ | 7213/9000 [6:12:57<1:19:53, 2.68s/it][Dataset] cur_step=7214 phase=D_mixed_covt +[Dataset] cur_step=7214 phase=D_mixed_covt +[Dataset] cur_step=7214 phase=D_mixed_covt +[Dataset] cur_step=7214 phase=D_mixed_covt[Dataset] cur_step=7214 phase=D_mixed_covt + +[Dataset] cur_step=7214 phase=D_mixed_covt +[Dataset] cur_step=7214 phase=D_mixed_covt +[Dataset] cur_step=7214 phase=D_mixed_covt + 80%|████████████████████████ | 7214/9000 [6:12:57<1:20:40, 2.71s/it] {'loss': '3.215', 'grad_norm': '2.61', 'learning_rate': '5.193e-06', 'epoch': '0.2595'} + 80%|████████████████████████ | 7214/9000 [6:12:57<1:20:40, 2.71s/it] {'lm_loss': '1.033', 'visual_loss': '2.643', 'seg_loss': '0.7821', 'dino_loss': '0.891', 'depth_loss': '0.2555', 'vggt_mse_loss': '0.254', 'vggt_cos_loss': '0.01553', 'pidinet_loss': '0.2493', 'siglip_loss': '0.465', 'epoch': '0.2595'} + 80%|████████████████████████ | 7214/9000 [6:13:00<1:20:40, 2.71s/it][Dataset] cur_step=7215 phase=D_mixed_covt +[Dataset] cur_step=7215 phase=D_mixed_covt +[Dataset] cur_step=7215 phase=D_mixed_covt +[Dataset] cur_step=7215 phase=D_mixed_covt +[Dataset] cur_step=7215 phase=D_mixed_covt[Dataset] cur_step=7215 phase=D_mixed_covt +[Dataset] cur_step=7215 phase=D_mixed_covt[Dataset] cur_step=7215 phase=D_mixed_covt + + + 80%|████████████████████████ | 7215/9000 [6:13:01<1:30:39, 3.05s/it] {'loss': '3.284', 'grad_norm': '3.878', 'learning_rate': '5.187e-06', 'epoch': '0.2596'} + 80%|████████████████████████ | 7215/9000 [6:13:01<1:30:39, 3.05s/it] {'lm_loss': '1.123', 'visual_loss': '2.699', 'seg_loss': '0.8301', 'dino_loss': '0.9221', 'depth_loss': '0.2781', 'vggt_mse_loss': '0.2762', 'vggt_cos_loss': '0.01829', 'pidinet_loss': '0.2523', 'siglip_loss': '0.4165', 'epoch': '0.2596'} + 80%|████████████████████████ | 7215/9000 [6:13:03<1:30:39, 3.05s/it][Dataset] cur_step=7216 phase=D_mixed_covt +[Dataset] cur_step=7216 phase=D_mixed_covt +[Dataset] cur_step=7216 phase=D_mixed_covt[Dataset] cur_step=7216 phase=D_mixed_covt + + 80%|████████████████████████ | 7216/9000 [6:13:03<1:19:19, 2.67s/it][Dataset] cur_step=7216 phase=D_mixed_covt[Dataset] cur_step=7216 phase=D_mixed_covt +[Dataset] cur_step=7216 phase=D_mixed_covt + +[Dataset] cur_step=7216 phase=D_mixed_covt + {'loss': '3.685', 'grad_norm': '2.987', 'learning_rate': '5.182e-06', 'epoch': '0.2596'} + 80%|████████████████████████ | 7216/9000 [6:13:03<1:19:19, 2.67s/it] {'lm_loss': '0.6752', 'visual_loss': '1.853', 'seg_loss': '0.4762', 'dino_loss': '0.8451', 'depth_loss': '0.1452', 'vggt_mse_loss': '0.1447', 'vggt_cos_loss': '0.005198', 'pidinet_loss': '0.06628', 'siglip_loss': '0.3201', 'epoch': '0.2596'} + 80%|████████████████████████ | 7216/9000 [6:13:05<1:19:19, 2.67s/it][Dataset] cur_step=7217 phase=D_mixed_covt +[Dataset] cur_step=7217 phase=D_mixed_covt[Dataset] cur_step=7217 phase=D_mixed_covt + +[Dataset] cur_step=7217 phase=D_mixed_covt +[Dataset] cur_step=7217 phase=D_mixed_covt + 80%|████████████████████████ | 7217/9000 [6:13:05<1:14:12, 2.50s/it][Dataset] cur_step=7217 phase=D_mixed_covt +[Dataset] cur_step=7217 phase=D_mixed_covt[Dataset] cur_step=7217 phase=D_mixed_covt + + {'loss': '3.329', 'grad_norm': '3.741', 'learning_rate': '5.176e-06', 'epoch': '0.2596'} + 80%|████████████████████████ | 7217/9000 [6:13:05<1:14:12, 2.50s/it] {'lm_loss': '0.709', 'visual_loss': '2.697', 'seg_loss': '0.6195', 'dino_loss': '0.917', 'depth_loss': '0.1671', 'vggt_mse_loss': '0.166', 'vggt_cos_loss': '0.01124', 'pidinet_loss': '0.2338', 'siglip_loss': '0.7591', 'epoch': '0.2596'} + 80%|████████████████████████ | 7217/9000 [6:13:10<1:14:12, 2.50s/it][Dataset] cur_step=7218 phase=D_mixed_covt + 80%|████████████████████████ | 7218/9000 [6:13:10<1:37:54, 3.30s/it][Dataset] cur_step=7218 phase=D_mixed_covt +[Dataset] cur_step=7218 phase=D_mixed_covt +[Dataset] cur_step=7218 phase=D_mixed_covt +[Dataset] cur_step=7218 phase=D_mixed_covt +[Dataset] cur_step=7218 phase=D_mixed_covt +[Dataset] cur_step=7218 phase=D_mixed_covt[Dataset] cur_step=7218 phase=D_mixed_covt + + {'loss': '3.427', 'grad_norm': '2.734', 'learning_rate': '5.17e-06', 'epoch': '0.2597'} + 80%|████████████████████████ | 7218/9000 [6:13:10<1:37:54, 3.30s/it] {'lm_loss': '1.035', 'visual_loss': '2.957', 'seg_loss': '0.8152', 'dino_loss': '0.931', 'depth_loss': '0.2464', 'vggt_mse_loss': '0.2446', 'vggt_cos_loss': '0.01841', 'pidinet_loss': '0.2297', 'siglip_loss': '0.7351', 'epoch': '0.2597'} + 80%|████████████████████████ | 7218/9000 [6:13:13<1:37:54, 3.30s/it][Dataset] cur_step=7219 phase=D_mixed_covt +[Dataset] cur_step=7219 phase=D_mixed_covt +[Dataset] cur_step=7219 phase=D_mixed_covt + 80%|████████████████████████ | 7219/9000 [6:13:14<1:38:31, 3.32s/it][Dataset] cur_step=7219 phase=D_mixed_covt +[Dataset] cur_step=7219 phase=D_mixed_covt +[Dataset] cur_step=7219 phase=D_mixed_covt +[Dataset] cur_step=7219 phase=D_mixed_covt +[Dataset] cur_step=7219 phase=D_mixed_covt + {'loss': '3.312', 'grad_norm': '4.884', 'learning_rate': '5.165e-06', 'epoch': '0.2597'} + 80%|████████████████████████ | 7219/9000 [6:13:14<1:38:31, 3.32s/it] {'lm_loss': '0.08671', 'visual_loss': '2.55', 'seg_loss': '0.7116', 'dino_loss': '0.937', 'depth_loss': '0.2531', 'vggt_mse_loss': '0.2513', 'vggt_cos_loss': '0.01817', 'pidinet_loss': '0.233', 'siglip_loss': '0.4157', 'epoch': '0.2597'} + 80%|████████████████████████ | 7219/9000 [6:13:17<1:38:31, 3.32s/it][Dataset] cur_step=7220 phase=D_mixed_covt +[Dataset] cur_step=7220 phase=D_mixed_covt +[Dataset] cur_step=7220 phase=D_mixed_covt +[Dataset] cur_step=7220 phase=D_mixed_covt +[Dataset] cur_step=7220 phase=D_mixed_covt[Dataset] cur_step=7220 phase=D_mixed_covt + + 80%|████████████████████████ | 7220/9000 [6:13:18<1:43:47, 3.50s/it][Dataset] cur_step=7220 phase=D_mixed_covt +[Dataset] cur_step=7220 phase=D_mixed_covt + {'loss': '3.092', 'grad_norm': '3.09', 'learning_rate': '5.159e-06', 'epoch': '0.2597'} + 80%|████████████████████████ | 7220/9000 [6:13:18<1:43:47, 3.50s/it] {'lm_loss': '0.4663', 'visual_loss': '2.658', 'seg_loss': '0.6891', 'dino_loss': '0.9088', 'depth_loss': '0.261', 'vggt_mse_loss': '0.2594', 'vggt_cos_loss': '0.01594', 'pidinet_loss': '0.2899', 'siglip_loss': '0.5092', 'epoch': '0.2597'} + 80%|████████████████████████ | 7220/9000 [6:13:20<1:43:47, 3.50s/it][Dataset] cur_step=7221 phase=D_mixed_covt +[Dataset] cur_step=7221 phase=D_mixed_covt +[Dataset] cur_step=7221 phase=D_mixed_covt[Dataset] cur_step=7221 phase=D_mixed_covt +[Dataset] cur_step=7221 phase=D_mixed_covt +[Dataset] cur_step=7221 phase=D_mixed_covt + + 80%|████████████████████████ | 7221/9000 [6:13:20<1:36:22, 3.25s/it][Dataset] cur_step=7221 phase=D_mixed_covt +[Dataset] cur_step=7221 phase=D_mixed_covt + {'loss': '3.407', 'grad_norm': '3.394', 'learning_rate': '5.154e-06', 'epoch': '0.2598'} + 80%|████████████████████████ | 7221/9000 [6:13:20<1:36:22, 3.25s/it] {'lm_loss': '0.6998', 'visual_loss': '3.223', 'seg_loss': '0.6449', 'dino_loss': '0.9144', 'depth_loss': '0.372', 'vggt_mse_loss': '0.3697', 'vggt_cos_loss': '0.02302', 'pidinet_loss': '0.2833', 'siglip_loss': '1.009', 'epoch': '0.2598'} + 80%|████████████████████████ | 7221/9000 [6:13:22<1:36:22, 3.25s/it][Dataset] cur_step=7222 phase=D_mixed_covt[Dataset] cur_step=7222 phase=D_mixed_covt[Dataset] cur_step=7222 phase=D_mixed_covt + + +[Dataset] cur_step=7222 phase=D_mixed_covt +[Dataset] cur_step=7222 phase=D_mixed_covt[Dataset] cur_step=7222 phase=D_mixed_covt + + 80%|████████████████████████ | 7222/9000 [6:13:23<1:33:34, 3.16s/it][Dataset] cur_step=7222 phase=D_mixed_covt +[Dataset] cur_step=7222 phase=D_mixed_covt + {'loss': '3.19', 'grad_norm': '3.518', 'learning_rate': '5.148e-06', 'epoch': '0.2598'} + 80%|████████████████████████ | 7222/9000 [6:13:23<1:33:34, 3.16s/it] {'lm_loss': '0.562', 'visual_loss': '2.324', 'seg_loss': '0.7014', 'dino_loss': '0.8677', 'depth_loss': '0.144', 'vggt_mse_loss': '0.1431', 'vggt_cos_loss': '0.008515', 'pidinet_loss': '0.2378', 'siglip_loss': '0.3729', 'epoch': '0.2598'} + 80%|████████████████████████ | 7222/9000 [6:13:26<1:33:34, 3.16s/it][Dataset] cur_step=7223 phase=D_mixed_covt[Dataset] cur_step=7223 phase=D_mixed_covt + +[Dataset] cur_step=7223 phase=D_mixed_covt +[Dataset] cur_step=7223 phase=D_mixed_covt +[Dataset] cur_step=7223 phase=D_mixed_covt +[Dataset] cur_step=7223 phase=D_mixed_covt[Dataset] cur_step=7223 phase=D_mixed_covt + +[Dataset] cur_step=7223 phase=D_mixed_covt + 80%|████████████████████████ | 7223/9000 [6:13:27<1:38:06, 3.31s/it] {'loss': '3.165', 'grad_norm': '2.516', 'learning_rate': '5.142e-06', 'epoch': '0.2598'} + 80%|████████████████████████ | 7223/9000 [6:13:27<1:38:06, 3.31s/it] {'lm_loss': '0.07995', 'visual_loss': '2.764', 'seg_loss': '0.5782', 'dino_loss': '0.9429', 'depth_loss': '0.2605', 'vggt_mse_loss': '0.2583', 'vggt_cos_loss': '0.02201', 'pidinet_loss': '0.1634', 'siglip_loss': '0.8192', 'epoch': '0.2598'} + 80%|████████████████████████ | 7223/9000 [6:13:29<1:38:06, 3.31s/it][Dataset] cur_step=7224 phase=D_mixed_covt +[Dataset] cur_step=7224 phase=D_mixed_covt +[Dataset] cur_step=7224 phase=D_mixed_covt +[Dataset] cur_step=7224 phase=D_mixed_covt[Dataset] cur_step=7224 phase=D_mixed_covt + +[Dataset] cur_step=7224 phase=D_mixed_covt +[Dataset] cur_step=7224 phase=D_mixed_covt +[Dataset] cur_step=7224 phase=D_mixed_covt + 80%|████████████████████████ | 7224/9000 [6:13:29<1:30:28, 3.06s/it] {'loss': '3.261', 'grad_norm': '5.519', 'learning_rate': '5.137e-06', 'epoch': '0.2599'} + 80%|████████████████████████ | 7224/9000 [6:13:29<1:30:28, 3.06s/it] {'lm_loss': '0.5607', 'visual_loss': '2.754', 'seg_loss': '0.8536', 'dino_loss': '0.9085', 'depth_loss': '0.202', 'vggt_mse_loss': '0.2005', 'vggt_cos_loss': '0.01579', 'pidinet_loss': '0.1846', 'siglip_loss': '0.6049', 'epoch': '0.2599'} + 80%|████████████████████████ | 7224/9000 [6:13:31<1:30:28, 3.06s/it][Dataset] cur_step=7225 phase=D_mixed_covt +[Dataset] cur_step=7225 phase=D_mixed_covt +[Dataset] cur_step=7225 phase=D_mixed_covt[Dataset] cur_step=7225 phase=D_mixed_covt + +[Dataset] cur_step=7225 phase=D_mixed_covt +[Dataset] cur_step=7225 phase=D_mixed_covt +[Dataset] cur_step=7225 phase=D_mixed_covt[Dataset] cur_step=7225 phase=D_mixed_covt + + 80%|████████████████████████ | 7225/9000 [6:13:31<1:18:50, 2.66s/it] {'loss': '3.004', 'grad_norm': '4.119', 'learning_rate': '5.131e-06', 'epoch': '0.2599'} + 80%|████████████████████████ | 7225/9000 [6:13:31<1:18:50, 2.66s/it] {'lm_loss': '0.5567', 'visual_loss': '2.729', 'seg_loss': '0.7861', 'dino_loss': '0.9634', 'depth_loss': '0.3077', 'vggt_mse_loss': '0.3053', 'vggt_cos_loss': '0.02444', 'pidinet_loss': '0.2404', 'siglip_loss': '0.4318', 'epoch': '0.2599'} + 80%|████████████████████████ | 7225/9000 [6:13:33<1:18:50, 2.66s/it][Dataset] cur_step=7226 phase=D_mixed_covt +[Dataset] cur_step=7226 phase=D_mixed_covt[Dataset] cur_step=7226 phase=D_mixed_covt +[Dataset] cur_step=7226 phase=D_mixed_covt +[Dataset] cur_step=7226 phase=D_mixed_covt +[Dataset] cur_step=7226 phase=D_mixed_covt + +[Dataset] cur_step=7226 phase=D_mixed_covt 80%|████████████████████████ | 7226/9000 [6:13:33<1:13:13, 2.48s/it] +[Dataset] cur_step=7226 phase=D_mixed_covt + {'loss': '2.801', 'grad_norm': '4.167', 'learning_rate': '5.126e-06', 'epoch': '0.26'} + 80%|████████████████████████ | 7226/9000 [6:13:33<1:13:13, 2.48s/it] {'lm_loss': '0.8142', 'visual_loss': '2.578', 'seg_loss': '0.8082', 'dino_loss': '0.9459', 'depth_loss': '0.2479', 'vggt_mse_loss': '0.246', 'vggt_cos_loss': '0.01911', 'pidinet_loss': '0', 'siglip_loss': '0.5765', 'epoch': '0.26'} + 80%|████████████████████████ | 7226/9000 [6:13:35<1:13:13, 2.48s/it][Dataset] cur_step=7227 phase=D_mixed_covt +[Dataset] cur_step=7227 phase=D_mixed_covt[Dataset] cur_step=7227 phase=D_mixed_covt + +[Dataset] cur_step=7227 phase=D_mixed_covt +[Dataset] cur_step=7227 phase=D_mixed_covt +[Dataset] cur_step=7227 phase=D_mixed_covt +[Dataset] cur_step=7227 phase=D_mixed_covt + 80%|████████████████████████ | 7227/9000 [6:13:35<1:08:01, 2.30s/it][Dataset] cur_step=7227 phase=D_mixed_covt + {'loss': '3.033', 'grad_norm': '3.867', 'learning_rate': '5.12e-06', 'epoch': '0.26'} + 80%|████████████████████████ | 7227/9000 [6:13:35<1:08:01, 2.30s/it] {'lm_loss': '0.6191', 'visual_loss': '2.607', 'seg_loss': '0.6257', 'dino_loss': '0.8784', 'depth_loss': '0.2075', 'vggt_mse_loss': '0.2062', 'vggt_cos_loss': '0.01322', 'pidinet_loss': '0.2739', 'siglip_loss': '0.6213', 'epoch': '0.26'} + 80%|████████████████████████ | 7227/9000 [6:13:37<1:08:01, 2.30s/it][Dataset] cur_step=7228 phase=D_mixed_covt +[Dataset] cur_step=7228 phase=D_mixed_covt[Dataset] cur_step=7228 phase=D_mixed_covt + +[Dataset] cur_step=7228 phase=D_mixed_covt +[Dataset] cur_step=7228 phase=D_mixed_covt +[Dataset] cur_step=7228 phase=D_mixed_covt + 80%|████████████████████████ | 7228/9000 [6:13:37<1:09:45, 2.36s/it][Dataset] cur_step=7228 phase=D_mixed_covt +[Dataset] cur_step=7228 phase=D_mixed_covt + {'loss': '3.261', 'grad_norm': '3.59', 'learning_rate': '5.115e-06', 'epoch': '0.26'} + 80%|████████████████████████ | 7228/9000 [6:13:37<1:09:45, 2.36s/it] {'lm_loss': '0.1785', 'visual_loss': '2.682', 'seg_loss': '0.7817', 'dino_loss': '0.9021', 'depth_loss': '0.3082', 'vggt_mse_loss': '0.3059', 'vggt_cos_loss': '0.02291', 'pidinet_loss': '0.2416', 'siglip_loss': '0.4487', 'epoch': '0.26'} + 80%|████████████████████████ | 7228/9000 [6:13:39<1:09:45, 2.36s/it][Dataset] cur_step=7229 phase=D_mixed_covt[Dataset] cur_step=7229 phase=D_mixed_covt + +[Dataset] cur_step=7229 phase=D_mixed_covt +[Dataset] cur_step=7229 phase=D_mixed_covt +[Dataset] cur_step=7229 phase=D_mixed_covt +[Dataset] cur_step=7229 phase=D_mixed_covt + 80%|████████████████████████ | 7229/9000 [6:13:39<1:06:03, 2.24s/it][Dataset] cur_step=7229 phase=D_mixed_covt +[Dataset] cur_step=7229 phase=D_mixed_covt + {'loss': '2.992', 'grad_norm': '3.978', 'learning_rate': '5.109e-06', 'epoch': '0.2601'} + 80%|████████████████████████ | 7229/9000 [6:13:39<1:06:03, 2.24s/it] {'lm_loss': '0.745', 'visual_loss': '2.72', 'seg_loss': '0.7836', 'dino_loss': '0.9041', 'depth_loss': '0.204', 'vggt_mse_loss': '0.2027', 'vggt_cos_loss': '0.01335', 'pidinet_loss': '0.2787', 'siglip_loss': '0.5497', 'epoch': '0.2601'} + 80%|████████████████████████ | 7229/9000 [6:13:41<1:06:03, 2.24s/it][Dataset] cur_step=7230 phase=D_mixed_covt +[Dataset] cur_step=7230 phase=D_mixed_covt +[Dataset] cur_step=7230 phase=D_mixed_covt +[Dataset] cur_step=7230 phase=D_mixed_covt +[Dataset] cur_step=7230 phase=D_mixed_covt + 80%|████████████████████████ | 7230/9000 [6:13:41<1:03:26, 2.15s/it][Dataset] cur_step=7230 phase=D_mixed_covt +[Dataset] cur_step=7230 phase=D_mixed_covt +[Dataset] cur_step=7230 phase=D_mixed_covt + {'loss': '3.404', 'grad_norm': '3.043', 'learning_rate': '5.103e-06', 'epoch': '0.2601'} + 80%|████████████████████████ | 7230/9000 [6:13:41<1:03:26, 2.15s/it] {'lm_loss': '0.09298', 'visual_loss': '2.688', 'seg_loss': '0.7858', 'dino_loss': '0.9446', 'depth_loss': '0.2605', 'vggt_mse_loss': '0.2586', 'vggt_cos_loss': '0.01921', 'pidinet_loss': '0.2592', 'siglip_loss': '0.438', 'epoch': '0.2601'} + 80%|████████████████████████ | 7230/9000 [6:13:44<1:03:26, 2.15s/it][Dataset] cur_step=7231 phase=D_mixed_covt +[Dataset] cur_step=7231 phase=D_mixed_covt[Dataset] cur_step=7231 phase=D_mixed_covt + +[Dataset] cur_step=7231 phase=D_mixed_covt +[Dataset] cur_step=7231 phase=D_mixed_covt[Dataset] cur_step=7231 phase=D_mixed_covt + +[Dataset] cur_step=7231 phase=D_mixed_covt +[Dataset] cur_step=7231 phase=D_mixed_covt + 80%|████████████████████████ | 7231/9000 [6:13:46<1:28:53, 3.02s/it] {'loss': '3.083', 'grad_norm': '3.068', 'learning_rate': '5.098e-06', 'epoch': '0.2601'} + 80%|████████████████████████ | 7231/9000 [6:13:46<1:28:53, 3.02s/it] {'lm_loss': '0.8203', 'visual_loss': '1.722', 'seg_loss': '0', 'dino_loss': '0.9066', 'depth_loss': '0.2348', 'vggt_mse_loss': '0.2332', 'vggt_cos_loss': '0.01538', 'pidinet_loss': '0.2048', 'siglip_loss': '0.3754', 'epoch': '0.2601'} + 80%|████████████████████████ | 7231/9000 [6:13:47<1:28:53, 3.02s/it][Dataset] cur_step=7232 phase=D_mixed_covt[Dataset] cur_step=7232 phase=D_mixed_covt + +[Dataset] cur_step=7232 phase=D_mixed_covt +[Dataset] cur_step=7232 phase=D_mixed_covt +[Dataset] cur_step=7232 phase=D_mixed_covt +[Dataset] cur_step=7232 phase=D_mixed_covt +[Dataset] cur_step=7232 phase=D_mixed_covt +[Dataset] cur_step=7232 phase=D_mixed_covt + 80%|████████████████████████ | 7232/9000 [6:13:48<1:12:21, 2.46s/it] {'loss': '2.629', 'grad_norm': '3.587', 'learning_rate': '5.092e-06', 'epoch': '0.2602'} + 80%|████████████████████████ | 7232/9000 [6:13:48<1:12:21, 2.46s/it] {'lm_loss': '0.9618', 'visual_loss': '2.679', 'seg_loss': '0.7012', 'dino_loss': '0.942', 'depth_loss': '0.256', 'vggt_mse_loss': '0.2543', 'vggt_cos_loss': '0.01688', 'pidinet_loss': '0.2646', 'siglip_loss': '0.515', 'epoch': '0.2602'} + 80%|████████████████████████ | 7232/9000 [6:13:49<1:12:21, 2.46s/it][Dataset] cur_step=7233 phase=D_mixed_covt +[Dataset] cur_step=7233 phase=D_mixed_covt +[Dataset] cur_step=7233 phase=D_mixed_covt +[Dataset] cur_step=7233 phase=D_mixed_covt +[Dataset] cur_step=7233 phase=D_mixed_covt +[Dataset] cur_step=7233 phase=D_mixed_covt +[Dataset] cur_step=7233 phase=D_mixed_covt +[Dataset] cur_step=7233 phase=D_mixed_covt + 80%|████████████████████████ | 7233/9000 [6:13:50<1:07:52, 2.30s/it] {'loss': '3.449', 'grad_norm': '4.601', 'learning_rate': '5.087e-06', 'epoch': '0.2602'} + 80%|████████████████████████ | 7233/9000 [6:13:50<1:07:52, 2.30s/it] {'lm_loss': '0.1633', 'visual_loss': '2.578', 'seg_loss': '0.7599', 'dino_loss': '0.9216', 'depth_loss': '0.1858', 'vggt_mse_loss': '0.1846', 'vggt_cos_loss': '0.01267', 'pidinet_loss': '0.2169', 'siglip_loss': '0.4942', 'epoch': '0.2602'} + 80%|████████████████████████ | 7233/9000 [6:13:53<1:07:52, 2.30s/it][Dataset] cur_step=7234 phase=D_mixed_covt[Dataset] cur_step=7234 phase=D_mixed_covt + +[Dataset] cur_step=7234 phase=D_mixed_covt +[Dataset] cur_step=7234 phase=D_mixed_covt +[Dataset] cur_step=7234 phase=D_mixed_covt +[Dataset] cur_step=7234 phase=D_mixed_covt[Dataset] cur_step=7234 phase=D_mixed_covt + +[Dataset] cur_step=7234 phase=D_mixed_covt + 80%|████████████████████████ | 7234/9000 [6:13:53<1:22:22, 2.80s/it] {'loss': '3.136', 'grad_norm': '2.823', 'learning_rate': '5.081e-06', 'epoch': '0.2602'} + 80%|████████████████████████ | 7234/9000 [6:13:53<1:22:22, 2.80s/it] {'lm_loss': '0.7843', 'visual_loss': '1.494', 'seg_loss': '0', 'dino_loss': '0.9411', 'depth_loss': '0.2975', 'vggt_mse_loss': '0.295', 'vggt_cos_loss': '0.02537', 'pidinet_loss': '0.2559', 'siglip_loss': '0', 'epoch': '0.2602'} + 80%|████████████████████████ | 7234/9000 [6:13:54<1:22:22, 2.80s/it][Dataset] cur_step=7235 phase=D_mixed_covt +[Dataset] cur_step=7235 phase=D_mixed_covt +[Dataset] cur_step=7235 phase=D_mixed_covt +[Dataset] cur_step=7235 phase=D_mixed_covt[Dataset] cur_step=7235 phase=D_mixed_covt + +[Dataset] cur_step=7235 phase=D_mixed_covt +[Dataset] cur_step=7235 phase=D_mixed_covt +[Dataset] cur_step=7235 phase=D_mixed_covt + 80%|████████████████████████ | 7235/9000 [6:13:55<1:08:03, 2.31s/it] {'loss': '2.397', 'grad_norm': '2.954', 'learning_rate': '5.076e-06', 'epoch': '0.2603'} + 80%|████████████████████████ | 7235/9000 [6:13:55<1:08:03, 2.31s/it] {'lm_loss': '0.1824', 'visual_loss': '2.676', 'seg_loss': '0.6247', 'dino_loss': '0.963', 'depth_loss': '0.2155', 'vggt_mse_loss': '0.214', 'vggt_cos_loss': '0.01452', 'pidinet_loss': '0.3117', 'siglip_loss': '0.5613', 'epoch': '0.2603'} + 80%|████████████████████████ | 7235/9000 [6:13:56<1:08:03, 2.31s/it][Dataset] cur_step=7236 phase=D_mixed_covt +[Dataset] cur_step=7236 phase=D_mixed_covt[Dataset] cur_step=7236 phase=D_mixed_covt + +[Dataset] cur_step=7236 phase=D_mixed_covt[Dataset] cur_step=7236 phase=D_mixed_covt + + 80%|████████████████████████ | 7236/9000 [6:13:59<1:25:47, 2.92s/it][Dataset] cur_step=7236 phase=D_mixed_covt +[Dataset] cur_step=7236 phase=D_mixed_covt +[Dataset] cur_step=7236 phase=D_mixed_covt + {'loss': '3.533', 'grad_norm': '5.713', 'learning_rate': '5.07e-06', 'epoch': '0.2603'} + 80%|████████████████████████ | 7236/9000 [6:13:59<1:25:47, 2.92s/it] {'lm_loss': '0.8114', 'visual_loss': '1.571', 'seg_loss': '0.7466', 'dino_loss': '0', 'depth_loss': '0.3901', 'vggt_mse_loss': '0.3863', 'vggt_cos_loss': '0.03788', 'pidinet_loss': '0', 'siglip_loss': '0.4346', 'epoch': '0.2603'} + 80%|████████████████████████ | 7236/9000 [6:14:01<1:25:47, 2.92s/it][Dataset] cur_step=7237 phase=D_mixed_covt[Dataset] cur_step=7237 phase=D_mixed_covt + +[Dataset] cur_step=7237 phase=D_mixed_covt[Dataset] cur_step=7237 phase=D_mixed_covt[Dataset] cur_step=7237 phase=D_mixed_covt + + +[Dataset] cur_step=7237 phase=D_mixed_covt + 80%|████████████████████████ | 7237/9000 [6:14:02<1:24:58, 2.89s/it][Dataset] cur_step=7237 phase=D_mixed_covt +[Dataset] cur_step=7237 phase=D_mixed_covt + {'loss': '2.263', 'grad_norm': '8.8', 'learning_rate': '5.065e-06', 'epoch': '0.2604'} + 80%|████████████████████████ | 7237/9000 [6:14:02<1:24:58, 2.89s/it] {'lm_loss': '0.4207', 'visual_loss': '2.075', 'seg_loss': '0.5383', 'dino_loss': '0.8381', 'depth_loss': '0.1887', 'vggt_mse_loss': '0.1876', 'vggt_cos_loss': '0.01078', 'pidinet_loss': '0.21', 'siglip_loss': '0.3002', 'epoch': '0.2604'} + 80%|████████████████████████ | 7237/9000 [6:14:03<1:24:58, 2.89s/it][Dataset] cur_step=7238 phase=D_mixed_covt +[Dataset] cur_step=7238 phase=D_mixed_covt +[Dataset] cur_step=7238 phase=D_mixed_covt +[Dataset] cur_step=7238 phase=D_mixed_covt[Dataset] cur_step=7238 phase=D_mixed_covt + + 80%|████████████████████████▏ | 7238/9000 [6:14:04<1:16:58, 2.62s/it][Dataset] cur_step=7238 phase=D_mixed_covt +[Dataset] cur_step=7238 phase=D_mixed_covt[Dataset] cur_step=7238 phase=D_mixed_covt + + {'loss': '3.204', 'grad_norm': '3.552', 'learning_rate': '5.059e-06', 'epoch': '0.2604'} + 80%|████████████████████████▏ | 7238/9000 [6:14:04<1:16:58, 2.62s/it] {'lm_loss': '0.4375', 'visual_loss': '2.876', 'seg_loss': '0.6984', 'dino_loss': '0.9442', 'depth_loss': '0.2505', 'vggt_mse_loss': '0.249', 'vggt_cos_loss': '0.01564', 'pidinet_loss': '0.3036', 'siglip_loss': '0.6789', 'epoch': '0.2604'} + 80%|████████████████████████▏ | 7238/9000 [6:14:07<1:16:58, 2.62s/it][Dataset] cur_step=7239 phase=D_mixed_covt +[Dataset] cur_step=7239 phase=D_mixed_covt +[Dataset] cur_step=7239 phase=D_mixed_covt +[Dataset] cur_step=7239 phase=D_mixed_covt 80%|████████████████████████▏ | 7239/9000 [6:14:07<1:24:38, 2.88s/it][Dataset] cur_step=7239 phase=D_mixed_covt + +[Dataset] cur_step=7239 phase=D_mixed_covt[Dataset] cur_step=7239 phase=D_mixed_covt + +[Dataset] cur_step=7239 phase=D_mixed_covt + {'loss': '3.281', 'grad_norm': '5.148', 'learning_rate': '5.053e-06', 'epoch': '0.2604'} + 80%|████████████████████████▏ | 7239/9000 [6:14:07<1:24:38, 2.88s/it] {'lm_loss': '0.1728', 'visual_loss': '1.777', 'seg_loss': '0.8354', 'dino_loss': '0', 'depth_loss': '0.1474', 'vggt_mse_loss': '0.1464', 'vggt_cos_loss': '0.009484', 'pidinet_loss': '0.3249', 'siglip_loss': '0.4691', 'epoch': '0.2604'} + 80%|████████████████████████▏ | 7239/9000 [6:14:09<1:24:38, 2.88s/it][Dataset] cur_step=7240 phase=D_mixed_covt[Dataset] cur_step=7240 phase=D_mixed_covt[Dataset] cur_step=7240 phase=D_mixed_covt + + +[Dataset] cur_step=7240 phase=D_mixed_covt[Dataset] cur_step=7240 phase=D_mixed_covt + +[Dataset] cur_step=7240 phase=D_mixed_covt + 80%|████████████████████████▏ | 7240/9000 [6:14:10<1:20:17, 2.74s/it][Dataset] cur_step=7240 phase=D_mixed_covt +[Dataset] cur_step=7240 phase=D_mixed_covt + {'loss': '2.518', 'grad_norm': '4.901', 'learning_rate': '5.048e-06', 'epoch': '0.2605'} + 80%|████████████████████████▏ | 7240/9000 [6:14:10<1:20:17, 2.74s/it] {'lm_loss': '0.7383', 'visual_loss': '2.528', 'seg_loss': '0.6957', 'dino_loss': '0.8416', 'depth_loss': '0.1898', 'vggt_mse_loss': '0.1885', 'vggt_cos_loss': '0.01269', 'pidinet_loss': '0.2782', 'siglip_loss': '0.5225', 'epoch': '0.2605'} + 80%|████████████████████████▏ | 7240/9000 [6:14:12<1:20:17, 2.74s/it][Dataset] cur_step=7241 phase=D_mixed_covt +[Dataset] cur_step=7241 phase=D_mixed_covt +[Dataset] cur_step=7241 phase=D_mixed_covt +[Dataset] cur_step=7241 phase=D_mixed_covt +[Dataset] cur_step=7241 phase=D_mixed_covt +[Dataset] cur_step=7241 phase=D_mixed_covt + 80%|████████████████████████▏ | 7241/9000 [6:14:12<1:20:45, 2.75s/it][Dataset] cur_step=7241 phase=D_mixed_covt +[Dataset] cur_step=7241 phase=D_mixed_covt + {'loss': '3.269', 'grad_norm': '5.495', 'learning_rate': '5.042e-06', 'epoch': '0.2605'} + 80%|████████████████████████▏ | 7241/9000 [6:14:12<1:20:45, 2.75s/it] {'lm_loss': '0.8548', 'visual_loss': '1.095', 'seg_loss': '0', 'dino_loss': '0', 'depth_loss': '0.2122', 'vggt_mse_loss': '0.2108', 'vggt_cos_loss': '0.01333', 'pidinet_loss': '0.2018', 'siglip_loss': '0.6811', 'epoch': '0.2605'} + 80%|████████████████████████▏ | 7241/9000 [6:14:13<1:20:45, 2.75s/it][Dataset] cur_step=7242 phase=D_mixed_covt[Dataset] cur_step=7242 phase=D_mixed_covt + +[Dataset] cur_step=7242 phase=D_mixed_covt +[Dataset] cur_step=7242 phase=D_mixed_covt[Dataset] cur_step=7242 phase=D_mixed_covt + + 80%|████████████████████████▏ | 7242/9000 [6:14:14<1:06:14, 2.26s/it][Dataset] cur_step=7242 phase=D_mixed_covt +[Dataset] cur_step=7242 phase=D_mixed_covt[Dataset] cur_step=7242 phase=D_mixed_covt + + {'loss': '1.822', 'grad_norm': '4.19', 'learning_rate': '5.037e-06', 'epoch': '0.2605'} + 80%|████████████████████████▏ | 7242/9000 [6:14:14<1:06:14, 2.26s/it] {'lm_loss': '0.3513', 'visual_loss': '2.481', 'seg_loss': '0.635', 'dino_loss': '0.9081', 'depth_loss': '0.2342', 'vggt_mse_loss': '0.2324', 'vggt_cos_loss': '0.01864', 'pidinet_loss': '0.199', 'siglip_loss': '0.5044', 'epoch': '0.2605'} + 80%|████████████████████████▏ | 7242/9000 [6:14:15<1:06:14, 2.26s/it][Dataset] cur_step=7243 phase=D_mixed_covt[Dataset] cur_step=7243 phase=D_mixed_covt + + 80%|████████████████████████▏ | 7243/9000 [6:14:16<1:06:19, 2.27s/it][Dataset] cur_step=7243 phase=D_mixed_covt +[Dataset] cur_step=7243 phase=D_mixed_covt[Dataset] cur_step=7243 phase=D_mixed_covt + +[Dataset] cur_step=7243 phase=D_mixed_covt +[Dataset] cur_step=7243 phase=D_mixed_covt +[Dataset] cur_step=7243 phase=D_mixed_covt + {'loss': '2.995', 'grad_norm': '4.184', 'learning_rate': '5.031e-06', 'epoch': '0.2606'} + 80%|████████████████████████▏ | 7243/9000 [6:14:16<1:06:19, 2.27s/it] {'lm_loss': '0.6251', 'visual_loss': '2.18', 'seg_loss': '0.4808', 'dino_loss': '0.8801', 'depth_loss': '0.1519', 'vggt_mse_loss': '0.1507', 'vggt_cos_loss': '0.01212', 'pidinet_loss': '0.2157', 'siglip_loss': '0.4513', 'epoch': '0.2606'} + 80%|████████████████████████▏ | 7243/9000 [6:14:18<1:06:19, 2.27s/it][Dataset] cur_step=7244 phase=D_mixed_covt +[Dataset] cur_step=7244 phase=D_mixed_covt[Dataset] cur_step=7244 phase=D_mixed_covt + +[Dataset] cur_step=7244 phase=D_mixed_covt + 80%|████████████████████████▏ | 7244/9000 [6:14:18<1:04:52, 2.22s/it][Dataset] cur_step=7244 phase=D_mixed_covt +[Dataset] cur_step=7244 phase=D_mixed_covt[Dataset] cur_step=7244 phase=D_mixed_covt + +[Dataset] cur_step=7244 phase=D_mixed_covt + {'loss': '3.416', 'grad_norm': '3.06', 'learning_rate': '5.026e-06', 'epoch': '0.2606'} + 80%|████████████████████████▏ | 7244/9000 [6:14:18<1:04:52, 2.22s/it] {'lm_loss': '0.8936', 'visual_loss': '2.559', 'seg_loss': '0.6802', 'dino_loss': '0.905', 'depth_loss': '0.1481', 'vggt_mse_loss': '0.1471', 'vggt_cos_loss': '0.01072', 'pidinet_loss': '0.2318', 'siglip_loss': '0.5935', 'epoch': '0.2606'} + 80%|████████████████████████▏ | 7244/9000 [6:14:20<1:04:52, 2.22s/it][Dataset] cur_step=7245 phase=D_mixed_covt +[Dataset] cur_step=7245 phase=D_mixed_covt +[Dataset] cur_step=7245 phase=D_mixed_covt +[Dataset] cur_step=7245 phase=D_mixed_covt +[Dataset] cur_step=7245 phase=D_mixed_covt +[Dataset] cur_step=7245 phase=D_mixed_covt + 80%|████████████████████████▏ | 7245/9000 [6:14:21<1:09:07, 2.36s/it][Dataset] cur_step=7245 phase=D_mixed_covt +[Dataset] cur_step=7245 phase=D_mixed_covt + {'loss': '3.265', 'grad_norm': '10.64', 'learning_rate': '5.02e-06', 'epoch': '0.2606'} + 80%|████████████████████████▏ | 7245/9000 [6:14:21<1:09:07, 2.36s/it] {'lm_loss': '0.6286', 'visual_loss': '2.724', 'seg_loss': '0.7127', 'dino_loss': '0.9481', 'depth_loss': '0.3572', 'vggt_mse_loss': '0.3539', 'vggt_cos_loss': '0.03245', 'pidinet_loss': '0.2581', 'siglip_loss': '0.4475', 'epoch': '0.2606'} + 80%|████████████████████████▏ | 7245/9000 [6:14:24<1:09:07, 2.36s/it][Dataset] cur_step=7246 phase=D_mixed_covt +[Dataset] cur_step=7246 phase=D_mixed_covt +[Dataset] cur_step=7246 phase=D_mixed_covt +[Dataset] cur_step=7246 phase=D_mixed_covt[Dataset] cur_step=7246 phase=D_mixed_covt + + 81%|████████████████████████▏ | 7246/9000 [6:14:25<1:29:04, 3.05s/it][Dataset] cur_step=7246 phase=D_mixed_covt[Dataset] cur_step=7246 phase=D_mixed_covt + +[Dataset] cur_step=7246 phase=D_mixed_covt + {'loss': '3.156', 'grad_norm': '6.719', 'learning_rate': '5.015e-06', 'epoch': '0.2607'} + 81%|████████████████████████▏ | 7246/9000 [6:14:25<1:29:04, 3.05s/it] {'lm_loss': '0.9745', 'visual_loss': '2.242', 'seg_loss': '0.6069', 'dino_loss': '0', 'depth_loss': '0.6343', 'vggt_mse_loss': '0.6278', 'vggt_cos_loss': '0.06441', 'pidinet_loss': '0.2668', 'siglip_loss': '0.7336', 'epoch': '0.2607'} + 81%|████████████████████████▏ | 7246/9000 [6:14:27<1:29:04, 3.05s/it][Dataset] cur_step=7247 phase=D_mixed_covt +[Dataset] cur_step=7247 phase=D_mixed_covt +[Dataset] cur_step=7247 phase=D_mixed_covt +[Dataset] cur_step=7247 phase=D_mixed_covt +[Dataset] cur_step=7247 phase=D_mixed_covt +[Dataset] cur_step=7247 phase=D_mixed_covt +[Dataset] cur_step=7247 phase=D_mixed_covt + 81%|████████████████████████▏ | 7247/9000 [6:14:30<1:41:11, 3.46s/it][Dataset] cur_step=7247 phase=D_mixed_covt + {'loss': '2.325', 'grad_norm': '4.664', 'learning_rate': '5.009e-06', 'epoch': '0.2607'} + 81%|████████████████████████▏ | 7247/9000 [6:14:30<1:41:11, 3.46s/it] {'lm_loss': '0.8095', 'visual_loss': '2.919', 'seg_loss': '0.7609', 'dino_loss': '0.8583', 'depth_loss': '0.1506', 'vggt_mse_loss': '0.1497', 'vggt_cos_loss': '0.008999', 'pidinet_loss': '0.2629', 'siglip_loss': '0.8867', 'epoch': '0.2607'} + 81%|████████████████████████▏ | 7247/9000 [6:14:33<1:41:11, 3.46s/it][Dataset] cur_step=7248 phase=D_mixed_covt +[Dataset] cur_step=7248 phase=D_mixed_covt +[Dataset] cur_step=7248 phase=D_mixed_covt +[Dataset] cur_step=7248 phase=D_mixed_covt[Dataset] cur_step=7248 phase=D_mixed_covt + 81%|████████████████████████▏ | 7248/9000 [6:14:33<1:39:24, 3.40s/it] +[Dataset] cur_step=7248 phase=D_mixed_covt +[Dataset] cur_step=7248 phase=D_mixed_covt +[Dataset] cur_step=7248 phase=D_mixed_covt + {'loss': '3.402', 'grad_norm': '40.89', 'learning_rate': '5.004e-06', 'epoch': '0.2607'} + 81%|████████████████████████▏ | 7248/9000 [6:14:33<1:39:24, 3.40s/it] {'lm_loss': '0.5279', 'visual_loss': '2.531', 'seg_loss': '0.6645', 'dino_loss': '0.9177', 'depth_loss': '0.2559', 'vggt_mse_loss': '0.2543', 'vggt_cos_loss': '0.01585', 'pidinet_loss': '0.2157', 'siglip_loss': '0.4772', 'epoch': '0.2607'} + 81%|████████████████████████▏ | 7248/9000 [6:14:35<1:39:24, 3.40s/it][Dataset] cur_step=7249 phase=D_mixed_covt[Dataset] cur_step=7249 phase=D_mixed_covt +[Dataset] cur_step=7249 phase=D_mixed_covt + +[Dataset] cur_step=7249 phase=D_mixed_covt[Dataset] cur_step=7249 phase=D_mixed_covt + + 81%|████████████████████████▏ | 7249/9000 [6:14:36<1:32:52, 3.18s/it][Dataset] cur_step=7249 phase=D_mixed_covt +[Dataset] cur_step=7249 phase=D_mixed_covt +[Dataset] cur_step=7249 phase=D_mixed_covt + {'loss': '2.991', 'grad_norm': '2.561', 'learning_rate': '4.998e-06', 'epoch': '0.2608'} + 81%|████████████████████████▏ | 7249/9000 [6:14:36<1:32:52, 3.18s/it] {'lm_loss': '1.216', 'visual_loss': '2.916', 'seg_loss': '0.7692', 'dino_loss': '0.8893', 'depth_loss': '0.3373', 'vggt_mse_loss': '0.3348', 'vggt_cos_loss': '0.02493', 'pidinet_loss': '0.2973', 'siglip_loss': '0.6226', 'epoch': '0.2608'} + 81%|████████████████████████▏ | 7249/9000 [6:14:37<1:32:52, 3.18s/it][Dataset] cur_step=7250 phase=D_mixed_covt +[Dataset] cur_step=7250 phase=D_mixed_covt[Dataset] cur_step=7250 phase=D_mixed_covt + +[Dataset] cur_step=7250 phase=D_mixed_covt +[Dataset] cur_step=7250 phase=D_mixed_covt[Dataset] cur_step=7250 phase=D_mixed_covt[Dataset] cur_step=7250 phase=D_mixed_covt + + +[Dataset] cur_step=7250 phase=D_mixed_covt + 81%|████████████████████████▏ | 7250/9000 [6:14:38<1:23:03, 2.85s/it] {'loss': '3.365', 'grad_norm': '5.456', 'learning_rate': '4.993e-06', 'epoch': '0.2608'} + 81%|████████████████████████▏ | 7250/9000 [6:14:38<1:23:03, 2.85s/it] {'lm_loss': '0.5044', 'visual_loss': '2.721', 'seg_loss': '0.7432', 'dino_loss': '0.9065', 'depth_loss': '0.2829', 'vggt_mse_loss': '0.2809', 'vggt_cos_loss': '0.02004', 'pidinet_loss': '0.2836', 'siglip_loss': '0.5049', 'epoch': '0.2608'} + 81%|████████████████████████▏ | 7250/9000 [6:14:41<1:23:03, 2.85s/it][Dataset] cur_step=7251 phase=D_mixed_covt +[Dataset] cur_step=7251 phase=D_mixed_covt[Dataset] cur_step=7251 phase=D_mixed_covt + +[Dataset] cur_step=7251 phase=D_mixed_covt[Dataset] cur_step=7251 phase=D_mixed_covt + + 81%|████████████████████████▏ | 7251/9000 [6:14:41<1:29:53, 3.08s/it][Dataset] cur_step=7251 phase=D_mixed_covt +[Dataset] cur_step=7251 phase=D_mixed_covt +[Dataset] cur_step=7251 phase=D_mixed_covt + {'loss': '3.123', 'grad_norm': '3.508', 'learning_rate': '4.987e-06', 'epoch': '0.2609'} + 81%|████████████████████████▏ | 7251/9000 [6:14:41<1:29:53, 3.08s/it] {'lm_loss': '0.8617', 'visual_loss': '3.074', 'seg_loss': '0.8608', 'dino_loss': '0.9637', 'depth_loss': '0.3184', 'vggt_mse_loss': '0.3165', 'vggt_cos_loss': '0.01947', 'pidinet_loss': '0.3061', 'siglip_loss': '0.6252', 'epoch': '0.2609'} + 81%|████████████████████████▏ | 7251/9000 [6:14:43<1:29:53, 3.08s/it][Dataset] cur_step=7252 phase=D_mixed_covt +[Dataset] cur_step=7252 phase=D_mixed_covt[Dataset] cur_step=7252 phase=D_mixed_covt + +[Dataset] cur_step=7252 phase=D_mixed_covt[Dataset] cur_step=7252 phase=D_mixed_covt[Dataset] cur_step=7252 phase=D_mixed_covt[Dataset] cur_step=7252 phase=D_mixed_covt 81%|████████████████████████▏ | 7252/9000 [6:14:43<1:18:29, 2.69s/it] + + + +[Dataset] cur_step=7252 phase=D_mixed_covt + {'loss': '3.479', 'grad_norm': '3.324', 'learning_rate': '4.982e-06', 'epoch': '0.2609'} + 81%|████████████████████████▏ | 7252/9000 [6:14:43<1:18:29, 2.69s/it] {'lm_loss': '0.05863', 'visual_loss': '2.775', 'seg_loss': '0.706', 'dino_loss': '0.9199', 'depth_loss': '0.248', 'vggt_mse_loss': '0.246', 'vggt_cos_loss': '0.01959', 'pidinet_loss': '0.1998', 'siglip_loss': '0.701', 'epoch': '0.2609'} + 81%|████████████████████████▏ | 7252/9000 [6:14:46<1:18:29, 2.69s/it][Dataset] cur_step=7253 phase=D_mixed_covt +[Dataset] cur_step=7253 phase=D_mixed_covt +[Dataset] cur_step=7253 phase=D_mixed_covt +[Dataset] cur_step=7253 phase=D_mixed_covt +[Dataset] cur_step=7253 phase=D_mixed_covt + 81%|████████████████████████▏ | 7253/9000 [6:14:46<1:22:49, 2.84s/it][Dataset] cur_step=7253 phase=D_mixed_covt +[Dataset] cur_step=7253 phase=D_mixed_covt +[Dataset] cur_step=7253 phase=D_mixed_covt + {'loss': '2.967', 'grad_norm': '2.224', 'learning_rate': '4.976e-06', 'epoch': '0.2609'} + 81%|████████████████████████▏ | 7253/9000 [6:14:46<1:22:49, 2.84s/it] {'lm_loss': '0.5655', 'visual_loss': '2.576', 'seg_loss': '0.5891', 'dino_loss': '0.9116', 'depth_loss': '0.2588', 'vggt_mse_loss': '0.2571', 'vggt_cos_loss': '0.01721', 'pidinet_loss': '0.1776', 'siglip_loss': '0.6386', 'epoch': '0.2609'} + 81%|████████████████████████▏ | 7253/9000 [6:14:49<1:22:49, 2.84s/it][Dataset] cur_step=7254 phase=D_mixed_covt[Dataset] cur_step=7254 phase=D_mixed_covt + +[Dataset] cur_step=7254 phase=D_mixed_covt +[Dataset] cur_step=7254 phase=D_mixed_covt +[Dataset] cur_step=7254 phase=D_mixed_covt + 81%|████████████████████████▏ | 7254/9000 [6:14:49<1:21:08, 2.79s/it][Dataset] cur_step=7254 phase=D_mixed_covt +[Dataset] cur_step=7254 phase=D_mixed_covt +[Dataset] cur_step=7254 phase=D_mixed_covt + {'loss': '3.24', 'grad_norm': '3.487', 'learning_rate': '4.971e-06', 'epoch': '0.261'} + 81%|████████████████████████▏ | 7254/9000 [6:14:49<1:21:08, 2.79s/it] {'lm_loss': '0.9074', 'visual_loss': '2.692', 'seg_loss': '0.6255', 'dino_loss': '0.9594', 'depth_loss': '0.3743', 'vggt_mse_loss': '0.3718', 'vggt_cos_loss': '0.02506', 'pidinet_loss': '0.2435', 'siglip_loss': '0.4891', 'epoch': '0.261'} + 81%|████████████████████████▏ | 7254/9000 [6:14:51<1:21:08, 2.79s/it][Dataset] cur_step=7255 phase=D_mixed_covt +[Dataset] cur_step=7255 phase=D_mixed_covt +[Dataset] cur_step=7255 phase=D_mixed_covt +[Dataset] cur_step=7255 phase=D_mixed_covt +[Dataset] cur_step=7255 phase=D_mixed_covt + 81%|████████████████████████▏ | 7255/9000 [6:14:52<1:19:04, 2.72s/it][Dataset] cur_step=7255 phase=D_mixed_covt +[Dataset] cur_step=7255 phase=D_mixed_covt +[Dataset] cur_step=7255 phase=D_mixed_covt + {'loss': '3.515', 'grad_norm': '4.774', 'learning_rate': '4.965e-06', 'epoch': '0.261'} + 81%|████████████████████████▏ | 7255/9000 [6:14:52<1:19:04, 2.72s/it] {'lm_loss': '0.8983', 'visual_loss': '2.598', 'seg_loss': '0.8122', 'dino_loss': '0.921', 'depth_loss': '0.1995', 'vggt_mse_loss': '0.198', 'vggt_cos_loss': '0.0147', 'pidinet_loss': '0.2761', 'siglip_loss': '0.3891', 'epoch': '0.261'} + 81%|████████████████████████▏ | 7255/9000 [6:14:55<1:19:04, 2.72s/it][Dataset] cur_step=7256 phase=D_mixed_covt +[Dataset] cur_step=7256 phase=D_mixed_covt +[Dataset] cur_step=7256 phase=D_mixed_covt +[Dataset] cur_step=7256 phase=D_mixed_covt[Dataset] cur_step=7256 phase=D_mixed_covt +[Dataset] cur_step=7256 phase=D_mixed_covt + +[Dataset] cur_step=7256 phase=D_mixed_covt 81%|████████████████████████▏ | 7256/9000 [6:14:56<1:31:39, 3.15s/it] +[Dataset] cur_step=7256 phase=D_mixed_covt + {'loss': '3.27', 'grad_norm': '2.85', 'learning_rate': '4.96e-06', 'epoch': '0.261'} + 81%|████████████████████████▏ | 7256/9000 [6:14:56<1:31:39, 3.15s/it] {'lm_loss': '0.5866', 'visual_loss': '3.052', 'seg_loss': '0.4669', 'dino_loss': '0.8762', 'depth_loss': '0.5981', 'vggt_mse_loss': '0.593', 'vggt_cos_loss': '0.05074', 'pidinet_loss': '0.2504', 'siglip_loss': '0.8603', 'epoch': '0.261'} + 81%|████████████████████████▏ | 7256/9000 [6:14:57<1:31:39, 3.15s/it][Dataset] cur_step=7257 phase=D_mixed_covt +[Dataset] cur_step=7257 phase=D_mixed_covt +[Dataset] cur_step=7257 phase=D_mixed_covt +[Dataset] cur_step=7257 phase=D_mixed_covt +[Dataset] cur_step=7257 phase=D_mixed_covt +[Dataset] cur_step=7257 phase=D_mixed_covt +[Dataset] cur_step=7257 phase=D_mixed_covt + 81%|████████████████████████▏ | 7257/9000 [6:14:58<1:21:20, 2.80s/it][Dataset] cur_step=7257 phase=D_mixed_covt + {'loss': '3.396', 'grad_norm': '4.095', 'learning_rate': '4.954e-06', 'epoch': '0.2611'} + 81%|████████████████████████▏ | 7257/9000 [6:14:58<1:21:20, 2.80s/it] {'lm_loss': '0.6106', 'visual_loss': '2.592', 'seg_loss': '0.6238', 'dino_loss': '0.9353', 'depth_loss': '0.3301', 'vggt_mse_loss': '0.3277', 'vggt_cos_loss': '0.02421', 'pidinet_loss': '0.251', 'siglip_loss': '0.4517', 'epoch': '0.2611'} + 81%|████████████████████████▏ | 7257/9000 [6:15:00<1:21:20, 2.80s/it][Dataset] cur_step=7258 phase=D_mixed_covt +[Dataset] cur_step=7258 phase=D_mixed_covt[Dataset] cur_step=7258 phase=D_mixed_covt + +[Dataset] cur_step=7258 phase=D_mixed_covt +[Dataset] cur_step=7258 phase=D_mixed_covt +[Dataset] cur_step=7258 phase=D_mixed_covt +[Dataset] cur_step=7258 phase=D_mixed_covt + 81%|████████████████████████▏ | 7258/9000 [6:15:00<1:19:15, 2.73s/it][Dataset] cur_step=7258 phase=D_mixed_covt + {'loss': '3.629', 'grad_norm': '5.344', 'learning_rate': '4.949e-06', 'epoch': '0.2611'} + 81%|████████████████████████▏ | 7258/9000 [6:15:00<1:19:15, 2.73s/it] {'lm_loss': '0.6165', 'visual_loss': '2.62', 'seg_loss': '0.7796', 'dino_loss': '0.9049', 'depth_loss': '0.2152', 'vggt_mse_loss': '0.2137', 'vggt_cos_loss': '0.01504', 'pidinet_loss': '0.2805', 'siglip_loss': '0.4398', 'epoch': '0.2611'} + 81%|████████████████████████▏ | 7258/9000 [6:15:03<1:19:15, 2.73s/it][Dataset] cur_step=7259 phase=D_mixed_covt +[Dataset] cur_step=7259 phase=D_mixed_covt +[Dataset] cur_step=7259 phase=D_mixed_covt +[Dataset] cur_step=7259 phase=D_mixed_covt +[Dataset] cur_step=7259 phase=D_mixed_covt +[Dataset] cur_step=7259 phase=D_mixed_covt +[Dataset] cur_step=7259 phase=D_mixed_covt +[Dataset] cur_step=7259 phase=D_mixed_covt + 81%|████████████████████████▏ | 7259/9000 [6:15:04<1:25:40, 2.95s/it] {'loss': '3.092', 'grad_norm': '3.533', 'learning_rate': '4.943e-06', 'epoch': '0.2611'} + 81%|████████████████████████▏ | 7259/9000 [6:15:04<1:25:40, 2.95s/it] {'lm_loss': '0.7655', 'visual_loss': '2.963', 'seg_loss': '0.7498', 'dino_loss': '0.9292', 'depth_loss': '0.1806', 'vggt_mse_loss': '0.1792', 'vggt_cos_loss': '0.01407', 'pidinet_loss': '0.3104', 'siglip_loss': '0.7931', 'epoch': '0.2611'} + 81%|████████████████████████▏ | 7259/9000 [6:15:05<1:25:40, 2.95s/it][Dataset] cur_step=7260 phase=D_mixed_covt +[Dataset] cur_step=7260 phase=D_mixed_covt +[Dataset] cur_step=7260 phase=D_mixed_covt +[Dataset] cur_step=7260 phase=D_mixed_covt[Dataset] cur_step=7260 phase=D_mixed_covt + +[Dataset] cur_step=7260 phase=D_mixed_covt 81%|████████████████████████▏ | 7260/9000 [6:15:06<1:16:44, 2.65s/it] +[Dataset] cur_step=7260 phase=D_mixed_covt +[Dataset] cur_step=7260 phase=D_mixed_covt + {'loss': '3.332', 'grad_norm': '3.33', 'learning_rate': '4.938e-06', 'epoch': '0.2612'} + 81%|████████████████████████▏ | 7260/9000 [6:15:06<1:16:44, 2.65s/it] {'lm_loss': '0.4017', 'visual_loss': '2.586', 'seg_loss': '0.6004', 'dino_loss': '0.9277', 'depth_loss': '0.3881', 'vggt_mse_loss': '0.3857', 'vggt_cos_loss': '0.02396', 'pidinet_loss': '0.2337', 'siglip_loss': '0.4367', 'epoch': '0.2612'} + 81%|████████████████████████▏ | 7260/9000 [6:15:08<1:16:44, 2.65s/it][Dataset] cur_step=7261 phase=D_mixed_covt +[Dataset] cur_step=7261 phase=D_mixed_covt[Dataset] cur_step=7261 phase=D_mixed_covt + +[Dataset] cur_step=7261 phase=D_mixed_covt +[Dataset] cur_step=7261 phase=D_mixed_covt[Dataset] cur_step=7261 phase=D_mixed_covt[Dataset] cur_step=7261 phase=D_mixed_covt + + + 81%|████████████████████████▏ | 7261/9000 [6:15:08<1:14:49, 2.58s/it][Dataset] cur_step=7261 phase=D_mixed_covt + {'loss': '3.191', 'grad_norm': '4.101', 'learning_rate': '4.932e-06', 'epoch': '0.2612'} + 81%|████████████████████████▏ | 7261/9000 [6:15:08<1:14:49, 2.58s/it] {'lm_loss': '0.4427', 'visual_loss': '2.206', 'seg_loss': '0.571', 'dino_loss': '0.8612', 'depth_loss': '0.2042', 'vggt_mse_loss': '0.2028', 'vggt_cos_loss': '0.01434', 'pidinet_loss': '0.2976', 'siglip_loss': '0.2721', 'epoch': '0.2612'} + 81%|████████████████████████▏ | 7261/9000 [6:15:10<1:14:49, 2.58s/it][Dataset] cur_step=7262 phase=D_mixed_covt +[Dataset] cur_step=7262 phase=D_mixed_covt[Dataset] cur_step=7262 phase=D_mixed_covt[Dataset] cur_step=7262 phase=D_mixed_covt[Dataset] cur_step=7262 phase=D_mixed_covt + + + +[Dataset] cur_step=7262 phase=D_mixed_covt + 81%|████████████████████████▏ | 7262/9000 [6:15:13<1:33:29, 3.23s/it][Dataset] cur_step=7262 phase=D_mixed_covt +[Dataset] cur_step=7262 phase=D_mixed_covt + {'loss': '3.007', 'grad_norm': '5.955', 'learning_rate': '4.927e-06', 'epoch': '0.2613'} + 81%|████████████████████████▏ | 7262/9000 [6:15:13<1:33:29, 3.23s/it] {'lm_loss': '0.9737', 'visual_loss': '3.166', 'seg_loss': '0.752', 'dino_loss': '0.9001', 'depth_loss': '0.2521', 'vggt_mse_loss': '0.2502', 'vggt_cos_loss': '0.01883', 'pidinet_loss': '0.2692', 'siglip_loss': '0.9924', 'epoch': '0.2613'} + 81%|████████████████████████▏ | 7262/9000 [6:15:15<1:33:29, 3.23s/it][Dataset] cur_step=7263 phase=D_mixed_covt[Dataset] cur_step=7263 phase=D_mixed_covt + +[Dataset] cur_step=7263 phase=D_mixed_covt +[Dataset] cur_step=7263 phase=D_mixed_covt[Dataset] cur_step=7263 phase=D_mixed_covt + +[Dataset] cur_step=7263 phase=D_mixed_covt + 81%|████████████████████████▏ | 7263/9000 [6:15:16<1:34:01, 3.25s/it][Dataset] cur_step=7263 phase=D_mixed_covt +[Dataset] cur_step=7263 phase=D_mixed_covt + {'loss': '3.281', 'grad_norm': '2.453', 'learning_rate': '4.921e-06', 'epoch': '0.2613'} + 81%|████████████████████████▏ | 7263/9000 [6:15:16<1:34:01, 3.25s/it] {'lm_loss': '0.5204', 'visual_loss': '2.987', 'seg_loss': '0.6758', 'dino_loss': '0.9073', 'depth_loss': '0.3837', 'vggt_mse_loss': '0.3803', 'vggt_cos_loss': '0.03321', 'pidinet_loss': '0.3', 'siglip_loss': '0.7204', 'epoch': '0.2613'} + 81%|████████████████████████▏ | 7263/9000 [6:15:18<1:34:01, 3.25s/it][Dataset] cur_step=7264 phase=D_mixed_covt[Dataset] cur_step=7264 phase=D_mixed_covt[Dataset] cur_step=7264 phase=D_mixed_covt + + +[Dataset] cur_step=7264 phase=D_mixed_covt[Dataset] cur_step=7264 phase=D_mixed_covt[Dataset] cur_step=7264 phase=D_mixed_covt + + +[Dataset] cur_step=7264 phase=D_mixed_covt +[Dataset] cur_step=7264 phase=D_mixed_covt + 81%|████████████████████████▏ | 7264/9000 [6:15:19<1:27:05, 3.01s/it] {'loss': '3.374', 'grad_norm': '3.019', 'learning_rate': '4.916e-06', 'epoch': '0.2613'} + 81%|████████████████████████▏ | 7264/9000 [6:15:19<1:27:05, 3.01s/it] {'lm_loss': '0.7966', 'visual_loss': '2.766', 'seg_loss': '0.7419', 'dino_loss': '0.9514', 'depth_loss': '0.3502', 'vggt_mse_loss': '0.3463', 'vggt_cos_loss': '0.03887', 'pidinet_loss': '0.1867', 'siglip_loss': '0.5354', 'epoch': '0.2613'} + 81%|████████████████████████▏ | 7264/9000 [6:15:21<1:27:05, 3.01s/it][Dataset] cur_step=7265 phase=D_mixed_covt +[Dataset] cur_step=7265 phase=D_mixed_covt +[Dataset] cur_step=7265 phase=D_mixed_covt +[Dataset] cur_step=7265 phase=D_mixed_covt +[Dataset] cur_step=7265 phase=D_mixed_covt +[Dataset] cur_step=7265 phase=D_mixed_covt[Dataset] cur_step=7265 phase=D_mixed_covt + +[Dataset] cur_step=7265 phase=D_mixed_covt 81%|████████████████████████▏ | 7265/9000 [6:15:21<1:22:30, 2.85s/it] + {'loss': '3.102', 'grad_norm': '4.519', 'learning_rate': '4.91e-06', 'epoch': '0.2614'} + 81%|████████████████████████▏ | 7265/9000 [6:15:21<1:22:30, 2.85s/it] {'lm_loss': '0.5871', 'visual_loss': '2.834', 'seg_loss': '0.7074', 'dino_loss': '0.8943', 'depth_loss': '0.1306', 'vggt_mse_loss': '0.1301', 'vggt_cos_loss': '0.004892', 'pidinet_loss': '0.2505', 'siglip_loss': '0.8513', 'epoch': '0.2614'} + 81%|████████████████████████▏ | 7265/9000 [6:15:23<1:22:30, 2.85s/it][Dataset] cur_step=7266 phase=D_mixed_covt +[Dataset] cur_step=7266 phase=D_mixed_covt[Dataset] cur_step=7266 phase=D_mixed_covt +[Dataset] cur_step=7266 phase=D_mixed_covt + + 81%|████████████████████████▏ | 7266/9000 [6:15:26<1:44:03, 3.60s/it][Dataset] cur_step=7266 phase=D_mixed_covt +[Dataset] cur_step=7266 phase=D_mixed_covt +[Dataset] cur_step=7266 phase=D_mixed_covt[Dataset] cur_step=7266 phase=D_mixed_covt + + {'loss': '3.376', 'grad_norm': '3.206', 'learning_rate': '4.905e-06', 'epoch': '0.2614'} + 81%|████████████████████████▏ | 7266/9000 [6:15:26<1:44:03, 3.60s/it] {'lm_loss': '0.1305', 'visual_loss': '2.555', 'seg_loss': '0.7725', 'dino_loss': '0.9039', 'depth_loss': '0.2896', 'vggt_mse_loss': '0.2881', 'vggt_cos_loss': '0.01474', 'pidinet_loss': '0.2036', 'siglip_loss': '0.3851', 'epoch': '0.2614'} + 81%|████████████████████████▏ | 7266/9000 [6:15:28<1:44:03, 3.60s/it][Dataset] cur_step=7267 phase=D_mixed_covt + 81%|████████████████████████▏ | 7267/9000 [6:15:28<1:29:20, 3.09s/it][Dataset] cur_step=7267 phase=D_mixed_covt[Dataset] cur_step=7267 phase=D_mixed_covt + +[Dataset] cur_step=7267 phase=D_mixed_covt +[Dataset] cur_step=7267 phase=D_mixed_covt[Dataset] cur_step=7267 phase=D_mixed_covt + +[Dataset] cur_step=7267 phase=D_mixed_covt +[Dataset] cur_step=7267 phase=D_mixed_covt + {'loss': '2.973', 'grad_norm': '3.264', 'learning_rate': '4.899e-06', 'epoch': '0.2614'} + 81%|████████████████████████▏ | 7267/9000 [6:15:28<1:29:20, 3.09s/it] {'lm_loss': '0.7477', 'visual_loss': '2.696', 'seg_loss': '0.8691', 'dino_loss': '0.9326', 'depth_loss': '0.2207', 'vggt_mse_loss': '0.2191', 'vggt_cos_loss': '0.01531', 'pidinet_loss': '0.2181', 'siglip_loss': '0.4559', 'epoch': '0.2614'} + 81%|████████████████████████▏ | 7267/9000 [6:15:31<1:29:20, 3.09s/it][Dataset] cur_step=7268 phase=D_mixed_covt +[Dataset] cur_step=7268 phase=D_mixed_covt +[Dataset] cur_step=7268 phase=D_mixed_covt +[Dataset] cur_step=7268 phase=D_mixed_covt[Dataset] cur_step=7268 phase=D_mixed_covt + +[Dataset] cur_step=7268 phase=D_mixed_covt[Dataset] cur_step=7268 phase=D_mixed_covt + + 81%|████████████████████████▏ | 7268/9000 [6:15:33<1:39:47, 3.46s/it][Dataset] cur_step=7268 phase=D_mixed_covt + {'loss': '3.556', 'grad_norm': '23.57', 'learning_rate': '4.894e-06', 'epoch': '0.2615'} + 81%|████████████████████████▏ | 7268/9000 [6:15:33<1:39:47, 3.46s/it] {'lm_loss': '0.58', 'visual_loss': '2.9', 'seg_loss': '0.6624', 'dino_loss': '0.9412', 'depth_loss': '0.3067', 'vggt_mse_loss': '0.3046', 'vggt_cos_loss': '0.02069', 'pidinet_loss': '0.2869', 'siglip_loss': '0.7027', 'epoch': '0.2615'} + 81%|████████████████████████▏ | 7268/9000 [6:15:35<1:39:47, 3.46s/it][Dataset] cur_step=7269 phase=D_mixed_covt +[Dataset] cur_step=7269 phase=D_mixed_covt[Dataset] cur_step=7269 phase=D_mixed_covt + +[Dataset] cur_step=7269 phase=D_mixed_covt[Dataset] cur_step=7269 phase=D_mixed_covt 81%|████████████████████████▏ | 7269/9000 [6:15:35<1:31:31, 3.17s/it] + +[Dataset] cur_step=7269 phase=D_mixed_covt +[Dataset] cur_step=7269 phase=D_mixed_covt +[Dataset] cur_step=7269 phase=D_mixed_covt + {'loss': '3.58', 'grad_norm': '2.62', 'learning_rate': '4.889e-06', 'epoch': '0.2615'} + 81%|████████████████████████▏ | 7269/9000 [6:15:35<1:31:31, 3.17s/it] {'lm_loss': '0.4078', 'visual_loss': '2.555', 'seg_loss': '0.6904', 'dino_loss': '0.8485', 'depth_loss': '0.3071', 'vggt_mse_loss': '0.3051', 'vggt_cos_loss': '0.02039', 'pidinet_loss': '0.2525', 'siglip_loss': '0.457', 'epoch': '0.2615'} + 81%|████████████████████████▏ | 7269/9000 [6:15:37<1:31:31, 3.17s/it][Dataset] cur_step=7270 phase=D_mixed_covt +[Dataset] cur_step=7270 phase=D_mixed_covt +[Dataset] cur_step=7270 phase=D_mixed_covt[Dataset] cur_step=7270 phase=D_mixed_covt + +[Dataset] cur_step=7270 phase=D_mixed_covt +[Dataset] cur_step=7270 phase=D_mixed_covt +[Dataset] cur_step=7270 phase=D_mixed_covt + 81%|████████████████████████▏ | 7270/9000 [6:15:38<1:26:13, 2.99s/it][Dataset] cur_step=7270 phase=D_mixed_covt + {'loss': '3.186', 'grad_norm': '3.824', 'learning_rate': '4.883e-06', 'epoch': '0.2615'} + 81%|████████████████████████▏ | 7270/9000 [6:15:38<1:26:13, 2.99s/it] {'lm_loss': '0.6326', 'visual_loss': '2.621', 'seg_loss': '0.6591', 'dino_loss': '0.9062', 'depth_loss': '0.2406', 'vggt_mse_loss': '0.2387', 'vggt_cos_loss': '0.01932', 'pidinet_loss': '0.1987', 'siglip_loss': '0.6167', 'epoch': '0.2615'} + 81%|████████████████████████▏ | 7270/9000 [6:15:40<1:26:13, 2.99s/it][Dataset] cur_step=7271 phase=D_mixed_covt +[Dataset] cur_step=7271 phase=D_mixed_covt +[Dataset] cur_step=7271 phase=D_mixed_covt +[Dataset] cur_step=7271 phase=D_mixed_covt + 81%|████████████████████████▏ | 7271/9000 [6:15:41<1:30:16, 3.13s/it][Dataset] cur_step=7271 phase=D_mixed_covt +[Dataset] cur_step=7271 phase=D_mixed_covt +[Dataset] cur_step=7271 phase=D_mixed_covt +[Dataset] cur_step=7271 phase=D_mixed_covt + {'loss': '3.475', 'grad_norm': '2.479', 'learning_rate': '4.878e-06', 'epoch': '0.2616'} + 81%|████████████████████████▏ | 7271/9000 [6:15:41<1:30:16, 3.13s/it] {'lm_loss': '0.6441', 'visual_loss': '2.822', 'seg_loss': '0.9195', 'dino_loss': '0.9011', 'depth_loss': '0.1938', 'vggt_mse_loss': '0.1927', 'vggt_cos_loss': '0.01151', 'pidinet_loss': '0.1766', 'siglip_loss': '0.6309', 'epoch': '0.2616'} + 81%|████████████████████████▏ | 7271/9000 [6:15:43<1:30:16, 3.13s/it][Dataset] cur_step=7272 phase=D_mixed_covt +[Dataset] cur_step=7272 phase=D_mixed_covt +[Dataset] cur_step=7272 phase=D_mixed_covt +[Dataset] cur_step=7272 phase=D_mixed_covt[Dataset] cur_step=7272 phase=D_mixed_covt + + 81%|████████████████████████▏ | 7272/9000 [6:15:44<1:28:01, 3.06s/it][Dataset] cur_step=7272 phase=D_mixed_covt +[Dataset] cur_step=7272 phase=D_mixed_covt +[Dataset] cur_step=7272 phase=D_mixed_covt + {'loss': '3.226', 'grad_norm': '2.592', 'learning_rate': '4.872e-06', 'epoch': '0.2616'} + 81%|████████████████████████▏ | 7272/9000 [6:15:44<1:28:01, 3.06s/it] {'lm_loss': '0.1355', 'visual_loss': '2.752', 'seg_loss': '0.8595', 'dino_loss': '0.9141', 'depth_loss': '0.4024', 'vggt_mse_loss': '0.3995', 'vggt_cos_loss': '0.0294', 'pidinet_loss': '0.1766', 'siglip_loss': '0.3989', 'epoch': '0.2616'} + 81%|████████████████████████▏ | 7272/9000 [6:15:46<1:28:01, 3.06s/it][Dataset] cur_step=7273 phase=D_mixed_covt +[Dataset] cur_step=7273 phase=D_mixed_covt +[Dataset] cur_step=7273 phase=D_mixed_covt +[Dataset] cur_step=7273 phase=D_mixed_covt[Dataset] cur_step=7273 phase=D_mixed_covt[Dataset] cur_step=7273 phase=D_mixed_covt + + + 81%|████████████████████████▏ | 7273/9000 [6:15:47<1:24:12, 2.93s/it][Dataset] cur_step=7273 phase=D_mixed_covt +[Dataset] cur_step=7273 phase=D_mixed_covt + {'loss': '3.365', 'grad_norm': '3.737', 'learning_rate': '4.867e-06', 'epoch': '0.2616'} + 81%|████████████████████████▏ | 7273/9000 [6:15:47<1:24:12, 2.93s/it] {'lm_loss': '1.236', 'visual_loss': '2.863', 'seg_loss': '0.88', 'dino_loss': '0.9119', 'depth_loss': '0.2107', 'vggt_mse_loss': '0.209', 'vggt_cos_loss': '0.01628', 'pidinet_loss': '0.2812', 'siglip_loss': '0.5789', 'epoch': '0.2616'} + 81%|████████████████████████▏ | 7273/9000 [6:15:48<1:24:12, 2.93s/it][Dataset] cur_step=7274 phase=D_mixed_covt +[Dataset] cur_step=7274 phase=D_mixed_covt +[Dataset] cur_step=7274 phase=D_mixed_covt[Dataset] cur_step=7274 phase=D_mixed_covt + +[Dataset] cur_step=7274 phase=D_mixed_covt[Dataset] cur_step=7274 phase=D_mixed_covt + + 81%|████████████████████████▏ | 7274/9000 [6:15:49<1:14:59, 2.61s/it][Dataset] cur_step=7274 phase=D_mixed_covt +[Dataset] cur_step=7274 phase=D_mixed_covt + {'loss': '3.606', 'grad_norm': '3.799', 'learning_rate': '4.861e-06', 'epoch': '0.2617'} + 81%|████████████████████████▏ | 7274/9000 [6:15:49<1:14:59, 2.61s/it] {'lm_loss': '0.5537', 'visual_loss': '2.684', 'seg_loss': '0.8063', 'dino_loss': '0.8996', 'depth_loss': '0.3013', 'vggt_mse_loss': '0.2988', 'vggt_cos_loss': '0.02516', 'pidinet_loss': '0.1903', 'siglip_loss': '0.487', 'epoch': '0.2617'} + 81%|████████████████████████▏ | 7274/9000 [6:15:50<1:14:59, 2.61s/it][Dataset] cur_step=7275 phase=D_mixed_covt +[Dataset] cur_step=7275 phase=D_mixed_covt +[Dataset] cur_step=7275 phase=D_mixed_covt[Dataset] cur_step=7275 phase=D_mixed_covt + +[Dataset] cur_step=7275 phase=D_mixed_covt +[Dataset] cur_step=7275 phase=D_mixed_covt 81%|████████████████████████▎ | 7275/9000 [6:15:51<1:13:33, 2.56s/it] +[Dataset] cur_step=7275 phase=D_mixed_covt +[Dataset] cur_step=7275 phase=D_mixed_covt + {'loss': '3.42', 'grad_norm': '3.628', 'learning_rate': '4.856e-06', 'epoch': '0.2617'} + 81%|████████████████████████▎ | 7275/9000 [6:15:51<1:13:33, 2.56s/it] {'lm_loss': '0.09523', 'visual_loss': '2.701', 'seg_loss': '0.693', 'dino_loss': '0.8889', 'depth_loss': '0.2824', 'vggt_mse_loss': '0.2802', 'vggt_cos_loss': '0.02186', 'pidinet_loss': '0.1438', 'siglip_loss': '0.6927', 'epoch': '0.2617'} + 81%|████████████████████████▎ | 7275/9000 [6:15:53<1:13:33, 2.56s/it][Dataset] cur_step=7276 phase=D_mixed_covt +[Dataset] cur_step=7276 phase=D_mixed_covt +[Dataset] cur_step=7276 phase=D_mixed_covt[Dataset] cur_step=7276 phase=D_mixed_covt + + 81%|████████████████████████▎ | 7276/9000 [6:15:57<1:43:52, 3.62s/it][Dataset] cur_step=7276 phase=D_mixed_covt +[Dataset] cur_step=7276 phase=D_mixed_covt +[Dataset] cur_step=7276 phase=D_mixed_covt +[Dataset] cur_step=7276 phase=D_mixed_covt + {'loss': '2.897', 'grad_norm': '2.68', 'learning_rate': '4.85e-06', 'epoch': '0.2618'} + 81%|████████████████████████▎ | 7276/9000 [6:15:57<1:43:52, 3.62s/it] {'lm_loss': '0.6931', 'visual_loss': '2.508', 'seg_loss': '0.8293', 'dino_loss': '0.8867', 'depth_loss': '0.1915', 'vggt_mse_loss': '0.1899', 'vggt_cos_loss': '0.01513', 'pidinet_loss': '0', 'siglip_loss': '0.6008', 'epoch': '0.2618'} + 81%|████████████████████████▎ | 7276/9000 [6:15:59<1:43:52, 3.62s/it][Dataset] cur_step=7277 phase=D_mixed_covt +[Dataset] cur_step=7277 phase=D_mixed_covt +[Dataset] cur_step=7277 phase=D_mixed_covt +[Dataset] cur_step=7277 phase=D_mixed_covt +[Dataset] cur_step=7277 phase=D_mixed_covt + 81%|████████████████████████▎ | 7277/9000 [6:16:00<1:39:45, 3.47s/it][Dataset] cur_step=7277 phase=D_mixed_covt +[Dataset] cur_step=7277 phase=D_mixed_covt +[Dataset] cur_step=7277 phase=D_mixed_covt + {'loss': '3.082', 'grad_norm': '2.273', 'learning_rate': '4.845e-06', 'epoch': '0.2618'} + 81%|████████████████████████▎ | 7277/9000 [6:16:00<1:39:45, 3.47s/it] {'lm_loss': '0.07333', 'visual_loss': '2.583', 'seg_loss': '0.5913', 'dino_loss': '0.9175', 'depth_loss': '0.202', 'vggt_mse_loss': '0.201', 'vggt_cos_loss': '0.01062', 'pidinet_loss': '0.2599', 'siglip_loss': '0.6119', 'epoch': '0.2618'} + 81%|████████████████████████▎ | 7277/9000 [6:16:02<1:39:45, 3.47s/it][Dataset] cur_step=7278 phase=D_mixed_covt +[Dataset] cur_step=7278 phase=D_mixed_covt[Dataset] cur_step=7278 phase=D_mixed_covt + +[Dataset] cur_step=7278 phase=D_mixed_covt +[Dataset] cur_step=7278 phase=D_mixed_covt[Dataset] cur_step=7278 phase=D_mixed_covt + +[Dataset] cur_step=7278 phase=D_mixed_covt + 81%|████████████████████████▎ | 7278/9000 [6:16:04<1:46:16, 3.70s/it][Dataset] cur_step=7278 phase=D_mixed_covt + {'loss': '3.137', 'grad_norm': '4.591', 'learning_rate': '4.84e-06', 'epoch': '0.2618'} + 81%|████████████████████████▎ | 7278/9000 [6:16:04<1:46:16, 3.70s/it] {'lm_loss': '1.017', 'visual_loss': '2.876', 'seg_loss': '0.8358', 'dino_loss': '0.9072', 'depth_loss': '0.186', 'vggt_mse_loss': '0.1847', 'vggt_cos_loss': '0.01354', 'pidinet_loss': '0.267', 'siglip_loss': '0.68', 'epoch': '0.2618'} + 81%|████████████████████████▎ | 7278/9000 [6:16:07<1:46:16, 3.70s/it][Dataset] cur_step=7279 phase=D_mixed_covt +[Dataset] cur_step=7279 phase=D_mixed_covt +[Dataset] cur_step=7279 phase=D_mixed_covt +[Dataset] cur_step=7279 phase=D_mixed_covt +[Dataset] cur_step=7279 phase=D_mixed_covt + 81%|████████████████████████▎ | 7279/9000 [6:16:08<1:44:19, 3.64s/it][Dataset] cur_step=7279 phase=D_mixed_covt +[Dataset] cur_step=7279 phase=D_mixed_covt +[Dataset] cur_step=7279 phase=D_mixed_covt + {'loss': '3.247', 'grad_norm': '2.617', 'learning_rate': '4.834e-06', 'epoch': '0.2619'} + 81%|████████████████████████▎ | 7279/9000 [6:16:08<1:44:19, 3.64s/it] {'lm_loss': '0.658', 'visual_loss': '3.167', 'seg_loss': '0.8639', 'dino_loss': '0.9068', 'depth_loss': '0.205', 'vggt_mse_loss': '0.2039', 'vggt_cos_loss': '0.01139', 'pidinet_loss': '0.1259', 'siglip_loss': '1.066', 'epoch': '0.2619'} + 81%|████████████████████████▎ | 7279/9000 [6:16:10<1:44:19, 3.64s/it][Dataset] cur_step=7280 phase=D_mixed_covt +[Dataset] cur_step=7280 phase=D_mixed_covt +[Dataset] cur_step=7280 phase=D_mixed_covt + 81%|████████████████████████▎ | 7280/9000 [6:16:11<1:36:54, 3.38s/it][Dataset] cur_step=7280 phase=D_mixed_covt[Dataset] cur_step=7280 phase=D_mixed_covt + +[Dataset] cur_step=7280 phase=D_mixed_covt[Dataset] cur_step=7280 phase=D_mixed_covt + +[Dataset] cur_step=7280 phase=D_mixed_covt + {'loss': '3.332', 'grad_norm': '7.066', 'learning_rate': '4.829e-06', 'epoch': '0.2619'} + 81%|████████████████████████▎ | 7280/9000 [6:16:11<1:36:54, 3.38s/it] {'lm_loss': '0.5396', 'visual_loss': '2.62', 'seg_loss': '0.6715', 'dino_loss': '0.9207', 'depth_loss': '0.1865', 'vggt_mse_loss': '0.1853', 'vggt_cos_loss': '0.01185', 'pidinet_loss': '0.2966', 'siglip_loss': '0.5442', 'epoch': '0.2619'} + 81%|████████████████████████▎ | 7280/9000 [6:16:14<1:36:54, 3.38s/it][Dataset] cur_step=7281 phase=D_mixed_covt +[Dataset] cur_step=7281 phase=D_mixed_covt +[Dataset] cur_step=7281 phase=D_mixed_covt[Dataset] cur_step=7281 phase=D_mixed_covt + + 81%|████████████████████████▎ | 7281/9000 [6:16:14<1:39:24, 3.47s/it][Dataset] cur_step=7281 phase=D_mixed_covt +[Dataset] cur_step=7281 phase=D_mixed_covt[Dataset] cur_step=7281 phase=D_mixed_covt + +[Dataset] cur_step=7281 phase=D_mixed_covt + {'loss': '3.17', 'grad_norm': '2.258', 'learning_rate': '4.823e-06', 'epoch': '0.2619'} + 81%|████████████████████████▎ | 7281/9000 [6:16:14<1:39:24, 3.47s/it] {'lm_loss': '0.2909', 'visual_loss': '2.699', 'seg_loss': '0.7054', 'dino_loss': '0.8988', 'depth_loss': '0.253', 'vggt_mse_loss': '0.2512', 'vggt_cos_loss': '0.01851', 'pidinet_loss': '0.2116', 'siglip_loss': '0.6305', 'epoch': '0.2619'} + 81%|████████████████████████▎ | 7281/9000 [6:16:17<1:39:24, 3.47s/it][Dataset] cur_step=7282 phase=D_mixed_covt[Dataset] cur_step=7282 phase=D_mixed_covt +[Dataset] cur_step=7282 phase=D_mixed_covt + +[Dataset] cur_step=7282 phase=D_mixed_covt[Dataset] cur_step=7282 phase=D_mixed_covt + +[Dataset] cur_step=7282 phase=D_mixed_covt 81%|████████████████████████▎ | 7282/9000 [6:16:17<1:36:01, 3.35s/it][Dataset] cur_step=7282 phase=D_mixed_covt + +[Dataset] cur_step=7282 phase=D_mixed_covt + {'loss': '3.102', 'grad_norm': '1.974', 'learning_rate': '4.818e-06', 'epoch': '0.262'} + 81%|████████████████████████▎ | 7282/9000 [6:16:17<1:36:01, 3.35s/it] {'lm_loss': '0.8748', 'visual_loss': '2.85', 'seg_loss': '0.8224', 'dino_loss': '0.8905', 'depth_loss': '0.272', 'vggt_mse_loss': '0.2702', 'vggt_cos_loss': '0.01823', 'pidinet_loss': '0.2647', 'siglip_loss': '0.6007', 'epoch': '0.262'} + 81%|████████████████████████▎ | 7282/9000 [6:16:20<1:36:01, 3.35s/it][Dataset] cur_step=7283 phase=D_mixed_covt[Dataset] cur_step=7283 phase=D_mixed_covt + +[Dataset] cur_step=7283 phase=D_mixed_covt +[Dataset] cur_step=7283 phase=D_mixed_covt +[Dataset] cur_step=7283 phase=D_mixed_covt[Dataset] cur_step=7283 phase=D_mixed_covt + + 81%|████████████████████████▎ | 7283/9000 [6:16:21<1:39:23, 3.47s/it][Dataset] cur_step=7283 phase=D_mixed_covt +[Dataset] cur_step=7283 phase=D_mixed_covt + {'loss': '3.146', 'grad_norm': '4.001', 'learning_rate': '4.812e-06', 'epoch': '0.262'} + 81%|████████████████████████▎ | 7283/9000 [6:16:21<1:39:23, 3.47s/it] {'lm_loss': '0.5219', 'visual_loss': '2.539', 'seg_loss': '0.7202', 'dino_loss': '0.9317', 'depth_loss': '0.218', 'vggt_mse_loss': '0.2164', 'vggt_cos_loss': '0.01542', 'pidinet_loss': '0.2456', 'siglip_loss': '0.4235', 'epoch': '0.262'} + 81%|████████████████████████▎ | 7283/9000 [6:16:23<1:39:23, 3.47s/it][Dataset] cur_step=7284 phase=D_mixed_covt +[Dataset] cur_step=7284 phase=D_mixed_covt +[Dataset] cur_step=7284 phase=D_mixed_covt +[Dataset] cur_step=7284 phase=D_mixed_covt[Dataset] cur_step=7284 phase=D_mixed_covt + +[Dataset] cur_step=7284 phase=D_mixed_covt +[Dataset] cur_step=7284 phase=D_mixed_covt +[Dataset] cur_step=7284 phase=D_mixed_covt + 81%|████████████████████████▎ | 7284/9000 [6:16:24<1:33:03, 3.25s/it] {'loss': '3.572', 'grad_norm': '3.212', 'learning_rate': '4.807e-06', 'epoch': '0.262'} + 81%|████████████████████████▎ | 7284/9000 [6:16:24<1:33:03, 3.25s/it] {'lm_loss': '0.6656', 'visual_loss': '1.707', 'seg_loss': '0.6817', 'dino_loss': '0', 'depth_loss': '0.354', 'vggt_mse_loss': '0.3517', 'vggt_cos_loss': '0.023', 'pidinet_loss': '0.2579', 'siglip_loss': '0.4133', 'epoch': '0.262'} + 81%|████████████████████████▎ | 7284/9000 [6:16:27<1:33:03, 3.25s/it][Dataset] cur_step=7285 phase=D_mixed_covt +[Dataset] cur_step=7285 phase=D_mixed_covt +[Dataset] cur_step=7285 phase=D_mixed_covt +[Dataset] cur_step=7285 phase=D_mixed_covt[Dataset] cur_step=7285 phase=D_mixed_covt + + 81%|████████████████████████▎ | 7285/9000 [6:16:27<1:34:15, 3.30s/it][Dataset] cur_step=7285 phase=D_mixed_covt +[Dataset] cur_step=7285 phase=D_mixed_covt +[Dataset] cur_step=7285 phase=D_mixed_covt + {'loss': '2.441', 'grad_norm': '3.565', 'learning_rate': '4.802e-06', 'epoch': '0.2621'} + 81%|████████████████████████▎ | 7285/9000 [6:16:27<1:34:15, 3.30s/it] {'lm_loss': '0.1014', 'visual_loss': '2.835', 'seg_loss': '0.7404', 'dino_loss': '0.9151', 'depth_loss': '0.3302', 'vggt_mse_loss': '0.3272', 'vggt_cos_loss': '0.02927', 'pidinet_loss': '0.2065', 'siglip_loss': '0.6431', 'epoch': '0.2621'} + 81%|████████████████████████▎ | 7285/9000 [6:16:30<1:34:15, 3.30s/it][Dataset] cur_step=7286 phase=D_mixed_covt[Dataset] cur_step=7286 phase=D_mixed_covt + +[Dataset] cur_step=7286 phase=D_mixed_covt +[Dataset] cur_step=7286 phase=D_mixed_covt +[Dataset] cur_step=7286 phase=D_mixed_covt +[Dataset] cur_step=7286 phase=D_mixed_covt +[Dataset] cur_step=7286 phase=D_mixed_covt + 81%|████████████████████████▎ | 7286/9000 [6:16:31<1:33:56, 3.29s/it][Dataset] cur_step=7286 phase=D_mixed_covt + {'loss': '3.318', 'grad_norm': '12.17', 'learning_rate': '4.796e-06', 'epoch': '0.2621'} + 81%|████████████████████████▎ | 7286/9000 [6:16:31<1:33:56, 3.29s/it] {'lm_loss': '0.8306', 'visual_loss': '2.028', 'seg_loss': '0.7185', 'dino_loss': '0.8726', 'depth_loss': '0.1585', 'vggt_mse_loss': '0.1573', 'vggt_cos_loss': '0.01184', 'pidinet_loss': '0.2781', 'siglip_loss': '0', 'epoch': '0.2621'} + 81%|████████████████████████▎ | 7286/9000 [6:16:33<1:33:56, 3.29s/it][Dataset] cur_step=7287 phase=D_mixed_covt +[Dataset] cur_step=7287 phase=D_mixed_covt +[Dataset] cur_step=7287 phase=D_mixed_covt[Dataset] cur_step=7287 phase=D_mixed_covt + +[Dataset] cur_step=7287 phase=D_mixed_covt + 81%|████████████████████████▎ | 7287/9000 [6:16:33<1:27:40, 3.07s/it][Dataset] cur_step=7287 phase=D_mixed_covt +[Dataset] cur_step=7287 phase=D_mixed_covt +[Dataset] cur_step=7287 phase=D_mixed_covt + {'loss': '2.913', 'grad_norm': '2.636', 'learning_rate': '4.791e-06', 'epoch': '0.2622'} + 81%|████████████████████████▎ | 7287/9000 [6:16:33<1:27:40, 3.07s/it] {'lm_loss': '0.7546', 'visual_loss': '2.71', 'seg_loss': '0.8096', 'dino_loss': '0.9088', 'depth_loss': '0.1651', 'vggt_mse_loss': '0.1643', 'vggt_cos_loss': '0.007102', 'pidinet_loss': '0.2521', 'siglip_loss': '0.5746', 'epoch': '0.2622'} + 81%|████████████████████████▎ | 7287/9000 [6:16:35<1:27:40, 3.07s/it][Dataset] cur_step=7288 phase=D_mixed_covt +[Dataset] cur_step=7288 phase=D_mixed_covt + 81%|████████████████████████▎ | 7288/9000 [6:16:35<1:18:23, 2.75s/it][Dataset] cur_step=7288 phase=D_mixed_covt +[Dataset] cur_step=7288 phase=D_mixed_covt +[Dataset] cur_step=7288 phase=D_mixed_covt +[Dataset] cur_step=7288 phase=D_mixed_covt +[Dataset] cur_step=7288 phase=D_mixed_covt +[Dataset] cur_step=7288 phase=D_mixed_covt + {'loss': '3.4', 'grad_norm': '4.924', 'learning_rate': '4.785e-06', 'epoch': '0.2622'} + 81%|████████████████████████▎ | 7288/9000 [6:16:35<1:18:23, 2.75s/it] {'lm_loss': '0.415', 'visual_loss': '2.293', 'seg_loss': '0.6581', 'dino_loss': '0.8662', 'depth_loss': '0.2068', 'vggt_mse_loss': '0.2054', 'vggt_cos_loss': '0.01374', 'pidinet_loss': '0.2026', 'siglip_loss': '0.3593', 'epoch': '0.2622'} + 81%|████████████████████████▎ | 7288/9000 [6:16:37<1:18:23, 2.75s/it][Dataset] cur_step=7289 phase=D_mixed_covt +[Dataset] cur_step=7289 phase=D_mixed_covt[Dataset] cur_step=7289 phase=D_mixed_covt + +[Dataset] cur_step=7289 phase=D_mixed_covt[Dataset] cur_step=7289 phase=D_mixed_covt +[Dataset] cur_step=7289 phase=D_mixed_covt + + 81%|████████████████████████▎ | 7289/9000 [6:16:38<1:17:16, 2.71s/it][Dataset] cur_step=7289 phase=D_mixed_covt +[Dataset] cur_step=7289 phase=D_mixed_covt + {'loss': '3.301', 'grad_norm': '3.457', 'learning_rate': '4.78e-06', 'epoch': '0.2622'} + 81%|████████████████████████▎ | 7289/9000 [6:16:38<1:17:16, 2.71s/it] {'lm_loss': '0.5113', 'visual_loss': '2.472', 'seg_loss': '0.6881', 'dino_loss': '0.9072', 'depth_loss': '0.216', 'vggt_mse_loss': '0.2146', 'vggt_cos_loss': '0.01436', 'pidinet_loss': '0.234', 'siglip_loss': '0.4263', 'epoch': '0.2622'} + 81%|████████████████████████▎ | 7289/9000 [6:16:40<1:17:16, 2.71s/it][Dataset] cur_step=7290 phase=D_mixed_covt +[Dataset] cur_step=7290 phase=D_mixed_covt +[Dataset] cur_step=7290 phase=D_mixed_covt +[Dataset] cur_step=7290 phase=D_mixed_covt[Dataset] cur_step=7290 phase=D_mixed_covt 81%|████████████████████████▎ | 7290/9000 [6:16:41<1:17:18, 2.71s/it] + +[Dataset] cur_step=7290 phase=D_mixed_covt +[Dataset] cur_step=7290 phase=D_mixed_covt +[Dataset] cur_step=7290 phase=D_mixed_covt + {'loss': '3.259', 'grad_norm': '4.729', 'learning_rate': '4.775e-06', 'epoch': '0.2623'} + 81%|████████████████████████▎ | 7290/9000 [6:16:41<1:17:18, 2.71s/it] {'lm_loss': '0.494', 'visual_loss': '1.885', 'seg_loss': '0.6823', 'dino_loss': '0.9085', 'depth_loss': '0.1439', 'vggt_mse_loss': '0.1428', 'vggt_cos_loss': '0.01107', 'pidinet_loss': '0.15', 'siglip_loss': '0', 'epoch': '0.2623'} + 81%|████████████████████████▎ | 7290/9000 [6:16:43<1:17:18, 2.71s/it][Dataset] cur_step=7291 phase=D_mixed_covt +[Dataset] cur_step=7291 phase=D_mixed_covt +[Dataset] cur_step=7291 phase=D_mixed_covt +[Dataset] cur_step=7291 phase=D_mixed_covt 81%|████████████████████████▎ | 7291/9000 [6:16:44<1:22:10, 2.89s/it] +[Dataset] cur_step=7291 phase=D_mixed_covt +[Dataset] cur_step=7291 phase=D_mixed_covt +[Dataset] cur_step=7291 phase=D_mixed_covt +[Dataset] cur_step=7291 phase=D_mixed_covt + {'loss': '2.86', 'grad_norm': '2.748', 'learning_rate': '4.769e-06', 'epoch': '0.2623'} + 81%|████████████████████████▎ | 7291/9000 [6:16:44<1:22:10, 2.89s/it] {'lm_loss': '0.6275', 'visual_loss': '1.879', 'seg_loss': '0.7186', 'dino_loss': '0.904', 'depth_loss': '0.2569', 'vggt_mse_loss': '0.2553', 'vggt_cos_loss': '0.01523', 'pidinet_loss': '0', 'siglip_loss': '0', 'epoch': '0.2623'} + 81%|████████████████████████▎ | 7291/9000 [6:16:45<1:22:10, 2.89s/it][Dataset] cur_step=7292 phase=D_mixed_covt + 81%|████████████████████████▎ | 7292/9000 [6:16:46<1:12:04, 2.53s/it][Dataset] cur_step=7292 phase=D_mixed_covt +[Dataset] cur_step=7292 phase=D_mixed_covt[Dataset] cur_step=7292 phase=D_mixed_covt + +[Dataset] cur_step=7292 phase=D_mixed_covt +[Dataset] cur_step=7292 phase=D_mixed_covt +[Dataset] cur_step=7292 phase=D_mixed_covt +[Dataset] cur_step=7292 phase=D_mixed_covt + {'loss': '2.68', 'grad_norm': '5.41', 'learning_rate': '4.764e-06', 'epoch': '0.2623'} + 81%|████████████████████████▎ | 7292/9000 [6:16:46<1:12:04, 2.53s/it] {'lm_loss': '0.4633', 'visual_loss': '2.446', 'seg_loss': '0.6554', 'dino_loss': '0.9098', 'depth_loss': '0.1951', 'vggt_mse_loss': '0.1938', 'vggt_cos_loss': '0.01293', 'pidinet_loss': '0.1728', 'siglip_loss': '0.513', 'epoch': '0.2623'} + 81%|████████████████████████▎ | 7292/9000 [6:16:47<1:12:04, 2.53s/it][Dataset] cur_step=7293 phase=D_mixed_covt +[Dataset] cur_step=7293 phase=D_mixed_covt +[Dataset] cur_step=7293 phase=D_mixed_covt[Dataset] cur_step=7293 phase=D_mixed_covt + + 81%|████████████████████████▎ | 7293/9000 [6:16:48<1:13:26, 2.58s/it][Dataset] cur_step=7293 phase=D_mixed_covt +[Dataset] cur_step=7293 phase=D_mixed_covt +[Dataset] cur_step=7293 phase=D_mixed_covt +[Dataset] cur_step=7293 phase=D_mixed_covt + {'loss': '2.964', 'grad_norm': '2.29', 'learning_rate': '4.758e-06', 'epoch': '0.2624'} + 81%|████████████████████████▎ | 7293/9000 [6:16:48<1:13:26, 2.58s/it] {'lm_loss': '0.08985', 'visual_loss': '2.625', 'seg_loss': '0.646', 'dino_loss': '0.912', 'depth_loss': '0.1742', 'vggt_mse_loss': '0.1729', 'vggt_cos_loss': '0.01277', 'pidinet_loss': '0.3155', 'siglip_loss': '0.5774', 'epoch': '0.2624'} + 81%|████████████████████████▎ | 7293/9000 [6:16:51<1:13:26, 2.58s/it][Dataset] cur_step=7294 phase=D_mixed_covt +[Dataset] cur_step=7294 phase=D_mixed_covt + 81%|████████████████████████▎ | 7294/9000 [6:16:52<1:19:11, 2.79s/it][Dataset] cur_step=7294 phase=D_mixed_covt +[Dataset] cur_step=7294 phase=D_mixed_covt +[Dataset] cur_step=7294 phase=D_mixed_covt[Dataset] cur_step=7294 phase=D_mixed_covt + +[Dataset] cur_step=7294 phase=D_mixed_covt +[Dataset] cur_step=7294 phase=D_mixed_covt + {'loss': '2.806', 'grad_norm': '2.684', 'learning_rate': '4.753e-06', 'epoch': '0.2624'} + 81%|████████████████████████▎ | 7294/9000 [6:16:52<1:19:11, 2.79s/it] {'lm_loss': '0.1115', 'visual_loss': '2.435', 'seg_loss': '0.7327', 'dino_loss': '0.8859', 'depth_loss': '0.2768', 'vggt_mse_loss': '0.2746', 'vggt_cos_loss': '0.02208', 'pidinet_loss': '0.2311', 'siglip_loss': '0.3086', 'epoch': '0.2624'} + 81%|████████████████████████▎ | 7294/9000 [6:16:53<1:19:11, 2.79s/it][Dataset] cur_step=7295 phase=D_mixed_covt[Dataset] cur_step=7295 phase=D_mixed_covt + +[Dataset] cur_step=7295 phase=D_mixed_covt +[Dataset] cur_step=7295 phase=D_mixed_covt[Dataset] cur_step=7295 phase=D_mixed_covt 81%|████████████████████████▎ | 7295/9000 [6:16:54<1:12:24, 2.55s/it] + +[Dataset] cur_step=7295 phase=D_mixed_covt +[Dataset] cur_step=7295 phase=D_mixed_covt +[Dataset] cur_step=7295 phase=D_mixed_covt + {'loss': '3.184', 'grad_norm': '3.494', 'learning_rate': '4.748e-06', 'epoch': '0.2624'} + 81%|████████████████████████▎ | 7295/9000 [6:16:54<1:12:24, 2.55s/it] {'lm_loss': '0.584', 'visual_loss': '2.449', 'seg_loss': '0.7439', 'dino_loss': '0.9412', 'depth_loss': '0.2103', 'vggt_mse_loss': '0.2088', 'vggt_cos_loss': '0.01505', 'pidinet_loss': '0.2476', 'siglip_loss': '0.306', 'epoch': '0.2624'} + 81%|████████████████████████▎ | 7295/9000 [6:16:56<1:12:24, 2.55s/it][Dataset] cur_step=7296 phase=D_mixed_covt +[Dataset] cur_step=7296 phase=D_mixed_covt[Dataset] cur_step=7296 phase=D_mixed_covt +[Dataset] cur_step=7296 phase=D_mixed_covt + +[Dataset] cur_step=7296 phase=D_mixed_covt + 81%|████████████████████████▎ | 7296/9000 [6:16:57<1:21:52, 2.88s/it][Dataset] cur_step=7296 phase=D_mixed_covt +[Dataset] cur_step=7296 phase=D_mixed_covt +[Dataset] cur_step=7296 phase=D_mixed_covt + {'loss': '3.283', 'grad_norm': '9.188', 'learning_rate': '4.742e-06', 'epoch': '0.2625'} + 81%|████████████████████████▎ | 7296/9000 [6:16:57<1:21:52, 2.88s/it] {'lm_loss': '0.7693', 'visual_loss': '2.412', 'seg_loss': '0.4535', 'dino_loss': '0.9153', 'depth_loss': '0.2055', 'vggt_mse_loss': '0.2042', 'vggt_cos_loss': '0.01271', 'pidinet_loss': '0.2999', 'siglip_loss': '0.5379', 'epoch': '0.2625'} + 81%|████████████████████████▎ | 7296/9000 [6:16:59<1:21:52, 2.88s/it][Dataset] cur_step=7297 phase=D_mixed_covt +[Dataset] cur_step=7297 phase=D_mixed_covt +[Dataset] cur_step=7297 phase=D_mixed_covt[Dataset] cur_step=7297 phase=D_mixed_covt + +[Dataset] cur_step=7297 phase=D_mixed_covt[Dataset] cur_step=7297 phase=D_mixed_covt[Dataset] cur_step=7297 phase=D_mixed_covt 81%|████████████████████████▎ | 7297/9000 [6:17:00<1:20:46, 2.85s/it] + + +[Dataset] cur_step=7297 phase=D_mixed_covt + {'loss': '3.288', 'grad_norm': '4.851', 'learning_rate': '4.737e-06', 'epoch': '0.2625'} + 81%|████████████████████████▎ | 7297/9000 [6:17:00<1:20:46, 2.85s/it] {'lm_loss': '0.7213', 'visual_loss': '2.289', 'seg_loss': '0.5934', 'dino_loss': '0.8689', 'depth_loss': '0.1717', 'vggt_mse_loss': '0.1707', 'vggt_cos_loss': '0.009487', 'pidinet_loss': '0.2327', 'siglip_loss': '0.4225', 'epoch': '0.2625'} + 81%|████████████████████████▎ | 7297/9000 [6:17:03<1:20:46, 2.85s/it][Dataset] cur_step=7298 phase=D_mixed_covt +[Dataset] cur_step=7298 phase=D_mixed_covt[Dataset] cur_step=7298 phase=D_mixed_covt + +[Dataset] cur_step=7298 phase=D_mixed_covt +[Dataset] cur_step=7298 phase=D_mixed_covt 81%|████████████████████████▎ | 7298/9000 [6:17:03<1:24:10, 2.97s/it] +[Dataset] cur_step=7298 phase=D_mixed_covt +[Dataset] cur_step=7298 phase=D_mixed_covt[Dataset] cur_step=7298 phase=D_mixed_covt + + {'loss': '3.706', 'grad_norm': '13.04', 'learning_rate': '4.731e-06', 'epoch': '0.2625'} + 81%|████████████████████████▎ | 7298/9000 [6:17:03<1:24:10, 2.97s/it] {'lm_loss': '0.3905', 'visual_loss': '2.363', 'seg_loss': '0.4542', 'dino_loss': '0.9072', 'depth_loss': '0.1718', 'vggt_mse_loss': '0.1707', 'vggt_cos_loss': '0.01155', 'pidinet_loss': '0.2171', 'siglip_loss': '0.6123', 'epoch': '0.2625'} + 81%|████████████████████████▎ | 7298/9000 [6:17:05<1:24:10, 2.97s/it][Dataset] cur_step=7299 phase=D_mixed_covt +[Dataset] cur_step=7299 phase=D_mixed_covt +[Dataset] cur_step=7299 phase=D_mixed_covt[Dataset] cur_step=7299 phase=D_mixed_covt[Dataset] cur_step=7299 phase=D_mixed_covt[Dataset] cur_step=7299 phase=D_mixed_covt + + + +[Dataset] cur_step=7299 phase=D_mixed_covt + 81%|████████████████████████▎ | 7299/9000 [6:17:05<1:15:48, 2.67s/it][Dataset] cur_step=7299 phase=D_mixed_covt + {'loss': '3.131', 'grad_norm': '2.764', 'learning_rate': '4.726e-06', 'epoch': '0.2626'} + 81%|████████████████████████▎ | 7299/9000 [6:17:05<1:15:48, 2.67s/it] {'lm_loss': '1.024', 'visual_loss': '2.721', 'seg_loss': '0.6588', 'dino_loss': '0.9183', 'depth_loss': '0.1516', 'vggt_mse_loss': '0.1511', 'vggt_cos_loss': '0.004979', 'pidinet_loss': '0.2485', 'siglip_loss': '0.7442', 'epoch': '0.2626'} + 81%|████████████████████████▎ | 7299/9000 [6:17:08<1:15:48, 2.67s/it][Dataset] cur_step=7300 phase=D_mixed_covt +[Dataset] cur_step=7300 phase=D_mixed_covt +[Dataset] cur_step=7300 phase=D_mixed_covt + 81%|████████████████████████▎ | 7300/9000 [6:17:09<1:21:23, 2.87s/it][Dataset] cur_step=7300 phase=D_mixed_covt +[Dataset] cur_step=7300 phase=D_mixed_covt +[Dataset] cur_step=7300 phase=D_mixed_covt +[Dataset] cur_step=7300 phase=D_mixed_covt +[Dataset] cur_step=7300 phase=D_mixed_covt + {'loss': '3.312', 'grad_norm': '4.87', 'learning_rate': '4.721e-06', 'epoch': '0.2626'} + 81%|████████████████████████▎ | 7300/9000 [6:17:09<1:21:23, 2.87s/it] {'lm_loss': '0.6927', 'visual_loss': '2.651', 'seg_loss': '0.7791', 'dino_loss': '0.9422', 'depth_loss': '0.1553', 'vggt_mse_loss': '0.1544', 'vggt_cos_loss': '0.009314', 'pidinet_loss': '0.2644', 'siglip_loss': '0.5101', 'epoch': '0.2626'} + 81%|████████████████████████▎ | 7300/9000 [6:17:10<1:21:23, 2.87s/it][Dataset] cur_step=7301 phase=D_mixed_covt +[Dataset] cur_step=7301 phase=D_mixed_covt[Dataset] cur_step=7301 phase=D_mixed_covt + +[Dataset] cur_step=7301 phase=D_mixed_covt +[Dataset] cur_step=7301 phase=D_mixed_covt[Dataset] cur_step=7301 phase=D_mixed_covt[Dataset] cur_step=7301 phase=D_mixed_covt + + +[Dataset] cur_step=7301 phase=D_mixed_covt 81%|████████████████████████▎ | 7301/9000 [6:17:11<1:18:29, 2.77s/it] + {'loss': '3.481', 'grad_norm': '3.163', 'learning_rate': '4.715e-06', 'epoch': '0.2627'} + 81%|████████████████████████▎ | 7301/9000 [6:17:11<1:18:29, 2.77s/it] {'lm_loss': '0.7707', 'visual_loss': '1.962', 'seg_loss': '0', 'dino_loss': '0.933', 'depth_loss': '0.1876', 'vggt_mse_loss': '0.1859', 'vggt_cos_loss': '0.0172', 'pidinet_loss': '0.2536', 'siglip_loss': '0.5877', 'epoch': '0.2627'} + 81%|████████████████████████▎ | 7301/9000 [6:17:12<1:18:29, 2.77s/it][Dataset] cur_step=7302 phase=D_mixed_covt + 81%|████████████████████████▎ | 7302/9000 [6:17:15<1:26:30, 3.06s/it][Dataset] cur_step=7302 phase=D_mixed_covt[Dataset] cur_step=7302 phase=D_mixed_covt + +[Dataset] cur_step=7302 phase=D_mixed_covt +[Dataset] cur_step=7302 phase=D_mixed_covt +[Dataset] cur_step=7302 phase=D_mixed_covt +[Dataset] cur_step=7302 phase=D_mixed_covt +[Dataset] cur_step=7302 phase=D_mixed_covt + {'loss': '2.921', 'grad_norm': '4.355', 'learning_rate': '4.71e-06', 'epoch': '0.2627'} + 81%|████████████████████████▎ | 7302/9000 [6:17:15<1:26:30, 3.06s/it] {'lm_loss': '0.6241', 'visual_loss': '2.565', 'seg_loss': '0.7616', 'dino_loss': '0.8995', 'depth_loss': '0.1491', 'vggt_mse_loss': '0.148', 'vggt_cos_loss': '0.01036', 'pidinet_loss': '0.2766', 'siglip_loss': '0.4783', 'epoch': '0.2627'} + 81%|████████████████████████▎ | 7302/9000 [6:17:17<1:26:30, 3.06s/it][Dataset] cur_step=7303 phase=D_mixed_covt[Dataset] cur_step=7303 phase=D_mixed_covt + +[Dataset] cur_step=7303 phase=D_mixed_covt +[Dataset] cur_step=7303 phase=D_mixed_covt +[Dataset] cur_step=7303 phase=D_mixed_covt +[Dataset] cur_step=7303 phase=D_mixed_covt[Dataset] cur_step=7303 phase=D_mixed_covt[Dataset] cur_step=7303 phase=D_mixed_covt + + + 81%|████████████████████████▎ | 7303/9000 [6:17:18<1:29:06, 3.15s/it] {'loss': '3.175', 'grad_norm': '7.392', 'learning_rate': '4.705e-06', 'epoch': '0.2627'} + 81%|████████████████████████▎ | 7303/9000 [6:17:18<1:29:06, 3.15s/it] {'lm_loss': '0.4774', 'visual_loss': '2.553', 'seg_loss': '0.757', 'dino_loss': '0.8962', 'depth_loss': '0.2284', 'vggt_mse_loss': '0.2267', 'vggt_cos_loss': '0.01652', 'pidinet_loss': '0.2358', 'siglip_loss': '0.4361', 'epoch': '0.2627'} + 81%|████████████████████████▎ | 7303/9000 [6:17:21<1:29:06, 3.15s/it][Dataset] cur_step=7304 phase=D_mixed_covt +[Dataset] cur_step=7304 phase=D_mixed_covt[Dataset] cur_step=7304 phase=D_mixed_covt +[Dataset] cur_step=7304 phase=D_mixed_covt + +[Dataset] cur_step=7304 phase=D_mixed_covt 81%|████████████████████████▎ | 7304/9000 [6:17:21<1:30:08, 3.19s/it] +[Dataset] cur_step=7304 phase=D_mixed_covt +[Dataset] cur_step=7304 phase=D_mixed_covt +[Dataset] cur_step=7304 phase=D_mixed_covt + {'loss': '3.315', 'grad_norm': '3.001', 'learning_rate': '4.699e-06', 'epoch': '0.2628'} + 81%|████████████████████████▎ | 7304/9000 [6:17:21<1:30:08, 3.19s/it] {'lm_loss': '1.179', 'visual_loss': '2.647', 'seg_loss': '0.7905', 'dino_loss': '0.8859', 'depth_loss': '0.2042', 'vggt_mse_loss': '0.2029', 'vggt_cos_loss': '0.01341', 'pidinet_loss': '0.1488', 'siglip_loss': '0.6177', 'epoch': '0.2628'} + 81%|████████████████████████▎ | 7304/9000 [6:17:23<1:30:08, 3.19s/it][Dataset] cur_step=7305 phase=D_mixed_covt[Dataset] cur_step=7305 phase=D_mixed_covt + +[Dataset] cur_step=7305 phase=D_mixed_covt +[Dataset] cur_step=7305 phase=D_mixed_covt +[Dataset] cur_step=7305 phase=D_mixed_covt +[Dataset] cur_step=7305 phase=D_mixed_covt[Dataset] cur_step=7305 phase=D_mixed_covt + +[Dataset] cur_step=7305 phase=D_mixed_covt + 81%|████████████████████████▎ | 7305/9000 [6:17:24<1:24:07, 2.98s/it] {'loss': '3.472', 'grad_norm': '3.307', 'learning_rate': '4.694e-06', 'epoch': '0.2628'} + 81%|████████████████████████▎ | 7305/9000 [6:17:24<1:24:07, 2.98s/it] {'lm_loss': '0.6226', 'visual_loss': '2.967', 'seg_loss': '0.6501', 'dino_loss': '0.9239', 'depth_loss': '0.4734', 'vggt_mse_loss': '0.4693', 'vggt_cos_loss': '0.04059', 'pidinet_loss': '0.311', 'siglip_loss': '0.6089', 'epoch': '0.2628'} + 81%|████████████████████████▎ | 7305/9000 [6:17:27<1:24:07, 2.98s/it][Dataset] cur_step=7306 phase=D_mixed_covt +[Dataset] cur_step=7306 phase=D_mixed_covt[Dataset] cur_step=7306 phase=D_mixed_covt +[Dataset] cur_step=7306 phase=D_mixed_covt[Dataset] cur_step=7306 phase=D_mixed_covt + + +[Dataset] cur_step=7306 phase=D_mixed_covt 81%|████████████████████████▎ | 7306/9000 [6:17:27<1:27:27, 3.10s/it] +[Dataset] cur_step=7306 phase=D_mixed_covt +[Dataset] cur_step=7306 phase=D_mixed_covt + {'loss': '3.162', 'grad_norm': '2.996', 'learning_rate': '4.689e-06', 'epoch': '0.2628'} + 81%|████████████████████████▎ | 7306/9000 [6:17:27<1:27:27, 3.10s/it] {'lm_loss': '1.576', 'visual_loss': '0.8916', 'seg_loss': '0', 'dino_loss': '0.8916', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0', 'siglip_loss': '0', 'epoch': '0.2628'} + 81%|████████████████████████▎ | 7306/9000 [6:17:28<1:27:27, 3.10s/it][Dataset] cur_step=7307 phase=D_mixed_covt +[Dataset] cur_step=7307 phase=D_mixed_covt +[Dataset] cur_step=7307 phase=D_mixed_covt[Dataset] cur_step=7307 phase=D_mixed_covt + + 81%|████████████████████████▎ | 7307/9000 [6:17:28<1:08:28, 2.43s/it][Dataset] cur_step=7307 phase=D_mixed_covt +[Dataset] cur_step=7307 phase=D_mixed_covt[Dataset] cur_step=7307 phase=D_mixed_covt + +[Dataset] cur_step=7307 phase=D_mixed_covt + {'loss': '1.899', 'grad_norm': '2.498', 'learning_rate': '4.683e-06', 'epoch': '0.2629'} + 81%|████████████████████████▎ | 7307/9000 [6:17:28<1:08:28, 2.43s/it] {'lm_loss': '0.7551', 'visual_loss': '1.385', 'seg_loss': '0', 'dino_loss': '0.9542', 'depth_loss': '0.2264', 'vggt_mse_loss': '0.2251', 'vggt_cos_loss': '0.01295', 'pidinet_loss': '0.2041', 'siglip_loss': '0', 'epoch': '0.2629'} + 81%|████████████████████████▎ | 7307/9000 [6:17:29<1:08:28, 2.43s/it][Dataset] cur_step=7308 phase=D_mixed_covt +[Dataset] cur_step=7308 phase=D_mixed_covt +[Dataset] cur_step=7308 phase=D_mixed_covt +[Dataset] cur_step=7308 phase=D_mixed_covt +[Dataset] cur_step=7308 phase=D_mixed_covt[Dataset] cur_step=7308 phase=D_mixed_covt[Dataset] cur_step=7308 phase=D_mixed_covt[Dataset] cur_step=7308 phase=D_mixed_covt + + + + 81%|█████████████████████████▉ | 7308/9000 [6:17:29<56:59, 2.02s/it] {'loss': '2.108', 'grad_norm': '2.834', 'learning_rate': '4.678e-06', 'epoch': '0.2629'} + 81%|█████████████████████████▉ | 7308/9000 [6:17:29<56:59, 2.02s/it] {'lm_loss': '0.6011', 'visual_loss': '2.422', 'seg_loss': '0.5574', 'dino_loss': '0.9554', 'depth_loss': '0.2324', 'vggt_mse_loss': '0.2308', 'vggt_cos_loss': '0.01642', 'pidinet_loss': '0.2422', 'siglip_loss': '0.4348', 'epoch': '0.2629'} + 81%|█████████████████████████▉ | 7308/9000 [6:17:31<56:59, 2.02s/it][Dataset] cur_step=7309 phase=D_mixed_covt[Dataset] cur_step=7309 phase=D_mixed_covt[Dataset] cur_step=7309 phase=D_mixed_covt + + +[Dataset] cur_step=7309 phase=D_mixed_covt + 81%|█████████████████████████▉ | 7309/9000 [6:17:31<57:26, 2.04s/it][Dataset] cur_step=7309 phase=D_mixed_covt +[Dataset] cur_step=7309 phase=D_mixed_covt +[Dataset] cur_step=7309 phase=D_mixed_covt +[Dataset] cur_step=7309 phase=D_mixed_covt + {'loss': '2.945', 'grad_norm': '4.251', 'learning_rate': '4.672e-06', 'epoch': '0.2629'} + 81%|█████████████████████████▉ | 7309/9000 [6:17:31<57:26, 2.04s/it] {'lm_loss': '0.4118', 'visual_loss': '2.743', 'seg_loss': '0.84', 'dino_loss': '0.9637', 'depth_loss': '0.1821', 'vggt_mse_loss': '0.1807', 'vggt_cos_loss': '0.01387', 'pidinet_loss': '0.2338', 'siglip_loss': '0.5231', 'epoch': '0.2629'} + 81%|█████████████████████████▉ | 7309/9000 [6:17:34<57:26, 2.04s/it][Dataset] cur_step=7310 phase=D_mixed_covt +[Dataset] cur_step=7310 phase=D_mixed_covt +[Dataset] cur_step=7310 phase=D_mixed_covt +[Dataset] cur_step=7310 phase=D_mixed_covt +[Dataset] cur_step=7310 phase=D_mixed_covt + 81%|████████████████████████▎ | 7310/9000 [6:17:35<1:08:00, 2.41s/it][Dataset] cur_step=7310 phase=D_mixed_covt +[Dataset] cur_step=7310 phase=D_mixed_covt +[Dataset] cur_step=7310 phase=D_mixed_covt + {'loss': '3.153', 'grad_norm': '2.44', 'learning_rate': '4.667e-06', 'epoch': '0.263'} + 81%|████████████████████████▎ | 7310/9000 [6:17:35<1:08:00, 2.41s/it] {'lm_loss': '0.8176', 'visual_loss': '1.816', 'seg_loss': '0', 'dino_loss': '0.8958', 'depth_loss': '0.277', 'vggt_mse_loss': '0.275', 'vggt_cos_loss': '0.01955', 'pidinet_loss': '0.233', 'siglip_loss': '0.4101', 'epoch': '0.263'} + 81%|████████████████████████▎ | 7310/9000 [6:17:35<1:08:00, 2.41s/it][Dataset] cur_step=7311 phase=D_mixed_covt +[Dataset] cur_step=7311 phase=D_mixed_covt +[Dataset] cur_step=7311 phase=D_mixed_covt +[Dataset] cur_step=7311 phase=D_mixed_covt +[Dataset] cur_step=7311 phase=D_mixed_covt[Dataset] cur_step=7311 phase=D_mixed_covt 81%|█████████████████████████▉ | 7311/9000 [6:17:36<57:44, 2.05s/it] + +[Dataset] cur_step=7311 phase=D_mixed_covt[Dataset] cur_step=7311 phase=D_mixed_covt + + {'loss': '2.807', 'grad_norm': '4.752', 'learning_rate': '4.662e-06', 'epoch': '0.263'} + 81%|█████████████████████████▉ | 7311/9000 [6:17:36<57:44, 2.05s/it] {'lm_loss': '0.918', 'visual_loss': '2.289', 'seg_loss': '0.749', 'dino_loss': '0.9192', 'depth_loss': '0.3447', 'vggt_mse_loss': '0.342', 'vggt_cos_loss': '0.02713', 'pidinet_loss': '0.2759', 'siglip_loss': '0', 'epoch': '0.263'} + 81%|█████████████████████████▉ | 7311/9000 [6:17:38<57:44, 2.05s/it][Dataset] cur_step=7312 phase=D_mixed_covt +[Dataset] cur_step=7312 phase=D_mixed_covt[Dataset] cur_step=7312 phase=D_mixed_covt + +[Dataset] cur_step=7312 phase=D_mixed_covt +[Dataset] cur_step=7312 phase=D_mixed_covt +[Dataset] cur_step=7312 phase=D_mixed_covt 81%|████████████████████████▎ | 7312/9000 [6:17:39<1:08:52, 2.45s/it] +[Dataset] cur_step=7312 phase=D_mixed_covt +[Dataset] cur_step=7312 phase=D_mixed_covt + {'loss': '2.687', 'grad_norm': '6.346', 'learning_rate': '4.656e-06', 'epoch': '0.263'} + 81%|████████████████████████▎ | 7312/9000 [6:17:39<1:08:52, 2.45s/it] {'lm_loss': '0.5084', 'visual_loss': '2.602', 'seg_loss': '0.6801', 'dino_loss': '0.9365', 'depth_loss': '0.1986', 'vggt_mse_loss': '0.1971', 'vggt_cos_loss': '0.0153', 'pidinet_loss': '0.2155', 'siglip_loss': '0.5717', 'epoch': '0.263'} + 81%|████████████████████████▎ | 7312/9000 [6:17:42<1:08:52, 2.45s/it][Dataset] cur_step=7313 phase=D_mixed_covt +[Dataset] cur_step=7313 phase=D_mixed_covt +[Dataset] cur_step=7313 phase=D_mixed_covt +[Dataset] cur_step=7313 phase=D_mixed_covt +[Dataset] cur_step=7313 phase=D_mixed_covt +[Dataset] cur_step=7313 phase=D_mixed_covt +[Dataset] cur_step=7313 phase=D_mixed_covt +[Dataset] cur_step=7313 phase=D_mixed_covt + 81%|████████████████████████▍ | 7313/9000 [6:17:43<1:19:21, 2.82s/it] {'loss': '3.282', 'grad_norm': '3.761', 'learning_rate': '4.651e-06', 'epoch': '0.2631'} + 81%|████████████████████████▍ | 7313/9000 [6:17:43<1:19:21, 2.82s/it] {'lm_loss': '0.6934', 'visual_loss': '2.629', 'seg_loss': '0.7307', 'dino_loss': '0.9093', 'depth_loss': '0.1882', 'vggt_mse_loss': '0.1867', 'vggt_cos_loss': '0.01464', 'pidinet_loss': '0.2497', 'siglip_loss': '0.5514', 'epoch': '0.2631'} + 81%|████████████████████████▍ | 7313/9000 [6:17:46<1:19:21, 2.82s/it][Dataset] cur_step=7314 phase=D_mixed_covt + 81%|████████████████████████▍ | 7314/9000 [6:17:46<1:26:03, 3.06s/it][Dataset] cur_step=7314 phase=D_mixed_covt +[Dataset] cur_step=7314 phase=D_mixed_covt +[Dataset] cur_step=7314 phase=D_mixed_covt +[Dataset] cur_step=7314 phase=D_mixed_covt +[Dataset] cur_step=7314 phase=D_mixed_covt +[Dataset] cur_step=7314 phase=D_mixed_covt +[Dataset] cur_step=7314 phase=D_mixed_covt + {'loss': '3.101', 'grad_norm': '2.507', 'learning_rate': '4.646e-06', 'epoch': '0.2631'} + 81%|████████████████████████▍ | 7314/9000 [6:17:46<1:26:03, 3.06s/it] {'lm_loss': '0.8581', 'visual_loss': '2.952', 'seg_loss': '0.8608', 'dino_loss': '0.8741', 'depth_loss': '0.3813', 'vggt_mse_loss': '0.3785', 'vggt_cos_loss': '0.02757', 'pidinet_loss': '0.2699', 'siglip_loss': '0.5656', 'epoch': '0.2631'} + 81%|████████████████████████▍ | 7314/9000 [6:17:48<1:26:03, 3.06s/it][Dataset] cur_step=7315 phase=D_mixed_covt[Dataset] cur_step=7315 phase=D_mixed_covt + +[Dataset] cur_step=7315 phase=D_mixed_covt +[Dataset] cur_step=7315 phase=D_mixed_covt[Dataset] cur_step=7315 phase=D_mixed_covt + +[Dataset] cur_step=7315 phase=D_mixed_covt +[Dataset] cur_step=7315 phase=D_mixed_covt + 81%|████████████████████████▍ | 7315/9000 [6:17:50<1:26:39, 3.09s/it][Dataset] cur_step=7315 phase=D_mixed_covt + {'loss': '3.198', 'grad_norm': '5.611', 'learning_rate': '4.64e-06', 'epoch': '0.2632'} + 81%|████████████████████████▍ | 7315/9000 [6:17:50<1:26:39, 3.09s/it] {'lm_loss': '0.3764', 'visual_loss': '2.616', 'seg_loss': '0.809', 'dino_loss': '0.9317', 'depth_loss': '0.251', 'vggt_mse_loss': '0.2491', 'vggt_cos_loss': '0.01897', 'pidinet_loss': '0.2564', 'siglip_loss': '0.3676', 'epoch': '0.2632'} + 81%|████████████████████████▍ | 7315/9000 [6:17:51<1:26:39, 3.09s/it][Dataset] cur_step=7316 phase=D_mixed_covt +[Dataset] cur_step=7316 phase=D_mixed_covt +[Dataset] cur_step=7316 phase=D_mixed_covt +[Dataset] cur_step=7316 phase=D_mixed_covt[Dataset] cur_step=7316 phase=D_mixed_covt +[Dataset] cur_step=7316 phase=D_mixed_covt + +[Dataset] cur_step=7316 phase=D_mixed_covt +[Dataset] cur_step=7316 phase=D_mixed_covt + 81%|████████████████████████▍ | 7316/9000 [6:17:52<1:16:45, 2.74s/it] {'loss': '3.264', 'grad_norm': '7.509', 'learning_rate': '4.635e-06', 'epoch': '0.2632'} + 81%|████████████████████████▍ | 7316/9000 [6:17:52<1:16:45, 2.74s/it] {'lm_loss': '0.1131', 'visual_loss': '2.506', 'seg_loss': '0.8487', 'dino_loss': '0.8937', 'depth_loss': '0.17', 'vggt_mse_loss': '0.169', 'vggt_cos_loss': '0.01062', 'pidinet_loss': '0.2705', 'siglip_loss': '0.3231', 'epoch': '0.2632'} + 81%|████████████████████████▍ | 7316/9000 [6:17:54<1:16:45, 2.74s/it][Dataset] cur_step=7317 phase=D_mixed_covt +[Dataset] cur_step=7317 phase=D_mixed_covt[Dataset] cur_step=7317 phase=D_mixed_covt[Dataset] cur_step=7317 phase=D_mixed_covt + + +[Dataset] cur_step=7317 phase=D_mixed_covt +[Dataset] cur_step=7317 phase=D_mixed_covt +[Dataset] cur_step=7317 phase=D_mixed_covt +[Dataset] cur_step=7317 phase=D_mixed_covt + 81%|████████████████████████▍ | 7317/9000 [6:17:54<1:14:05, 2.64s/it] {'loss': '3.26', 'grad_norm': '2.722', 'learning_rate': '4.63e-06', 'epoch': '0.2632'} + 81%|████████████████████████▍ | 7317/9000 [6:17:54<1:14:05, 2.64s/it] {'lm_loss': '0.09016', 'visual_loss': '2.247', 'seg_loss': '0.6018', 'dino_loss': '0.8659', 'depth_loss': '0.1924', 'vggt_mse_loss': '0.1911', 'vggt_cos_loss': '0.01283', 'pidinet_loss': '0.1325', 'siglip_loss': '0.4548', 'epoch': '0.2632'} + 81%|████████████████████████▍ | 7317/9000 [6:17:57<1:14:05, 2.64s/it][Dataset] cur_step=7318 phase=D_mixed_covt +[Dataset] cur_step=7318 phase=D_mixed_covt[Dataset] cur_step=7318 phase=D_mixed_covt + +[Dataset] cur_step=7318 phase=D_mixed_covt[Dataset] cur_step=7318 phase=D_mixed_covt +[Dataset] cur_step=7318 phase=D_mixed_covt + +[Dataset] cur_step=7318 phase=D_mixed_covt + 81%|████████████████████████▍ | 7318/9000 [6:17:57<1:19:52, 2.85s/it][Dataset] cur_step=7318 phase=D_mixed_covt + {'loss': '3.206', 'grad_norm': '2.544', 'learning_rate': '4.624e-06', 'epoch': '0.2633'} + 81%|████████████████████████▍ | 7318/9000 [6:17:57<1:19:52, 2.85s/it] {'lm_loss': '0.5081', 'visual_loss': '2.413', 'seg_loss': '0.7146', 'dino_loss': '0.9155', 'depth_loss': '0.1843', 'vggt_mse_loss': '0.1831', 'vggt_cos_loss': '0.0122', 'pidinet_loss': '0', 'siglip_loss': '0.599', 'epoch': '0.2633'} + 81%|████████████████████████▍ | 7318/9000 [6:18:00<1:19:52, 2.85s/it][Dataset] cur_step=7319 phase=D_mixed_covt +[Dataset] cur_step=7319 phase=D_mixed_covt +[Dataset] cur_step=7319 phase=D_mixed_covt +[Dataset] cur_step=7319 phase=D_mixed_covt +[Dataset] cur_step=7319 phase=D_mixed_covt +[Dataset] cur_step=7319 phase=D_mixed_covt +[Dataset] cur_step=7319 phase=D_mixed_covt + 81%|████████████████████████▍ | 7319/9000 [6:18:00<1:21:24, 2.91s/it][Dataset] cur_step=7319 phase=D_mixed_covt + {'loss': '3.321', 'grad_norm': '3.199', 'learning_rate': '4.619e-06', 'epoch': '0.2633'} + 81%|████████████████████████▍ | 7319/9000 [6:18:00<1:21:24, 2.91s/it] {'lm_loss': '0.533', 'visual_loss': '1.534', 'seg_loss': '0', 'dino_loss': '0.9376', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.1649', 'siglip_loss': '0.4316', 'epoch': '0.2633'} + 81%|████████████████████████▍ | 7319/9000 [6:18:01<1:21:24, 2.91s/it][Dataset] cur_step=7320 phase=D_mixed_covt[Dataset] cur_step=7320 phase=D_mixed_covt + +[Dataset] cur_step=7320 phase=D_mixed_covt +[Dataset] cur_step=7320 phase=D_mixed_covt[Dataset] cur_step=7320 phase=D_mixed_covt + +[Dataset] cur_step=7320 phase=D_mixed_covt +[Dataset] cur_step=7320 phase=D_mixed_covt +[Dataset] cur_step=7320 phase=D_mixed_covt + 81%|████████████████████████▍ | 7320/9000 [6:18:01<1:04:06, 2.29s/it] {'loss': '2.443', 'grad_norm': '3.124', 'learning_rate': '4.614e-06', 'epoch': '0.2633'} + 81%|████████████████████████▍ | 7320/9000 [6:18:01<1:04:06, 2.29s/it] {'lm_loss': '0.1011', 'visual_loss': '2.57', 'seg_loss': '0.6579', 'dino_loss': '0.9076', 'depth_loss': '0.2001', 'vggt_mse_loss': '0.1987', 'vggt_cos_loss': '0.01406', 'pidinet_loss': '0.2547', 'siglip_loss': '0.5492', 'epoch': '0.2633'} + 81%|████████████████████████▍ | 7320/9000 [6:18:04<1:04:06, 2.29s/it][Dataset] cur_step=7321 phase=D_mixed_covt[Dataset] cur_step=7321 phase=D_mixed_covt + +[Dataset] cur_step=7321 phase=D_mixed_covt[Dataset] cur_step=7321 phase=D_mixed_covt + +[Dataset] cur_step=7321 phase=D_mixed_covt[Dataset] cur_step=7321 phase=D_mixed_covt + +[Dataset] cur_step=7321 phase=D_mixed_covt + 81%|████████████████████████▍ | 7321/9000 [6:18:05<1:15:05, 2.68s/it][Dataset] cur_step=7321 phase=D_mixed_covt + {'loss': '3.091', 'grad_norm': '2.366', 'learning_rate': '4.609e-06', 'epoch': '0.2634'} + 81%|████████████████████████▍ | 7321/9000 [6:18:05<1:15:05, 2.68s/it] {'lm_loss': '0.1031', 'visual_loss': '2.604', 'seg_loss': '0.735', 'dino_loss': '0.9487', 'depth_loss': '0.1751', 'vggt_mse_loss': '0.1739', 'vggt_cos_loss': '0.01178', 'pidinet_loss': '0.2944', 'siglip_loss': '0.4512', 'epoch': '0.2634'} + 81%|████████████████████████▍ | 7321/9000 [6:18:06<1:15:05, 2.68s/it][Dataset] cur_step=7322 phase=D_mixed_covt[Dataset] cur_step=7322 phase=D_mixed_covt +[Dataset] cur_step=7322 phase=D_mixed_covt + +[Dataset] cur_step=7322 phase=D_mixed_covt +[Dataset] cur_step=7322 phase=D_mixed_covt +[Dataset] cur_step=7322 phase=D_mixed_covt +[Dataset] cur_step=7322 phase=D_mixed_covt +[Dataset] cur_step=7322 phase=D_mixed_covt 81%|████████████████████████▍ | 7322/9000 [6:18:07<1:08:16, 2.44s/it] + {'loss': '3.191', 'grad_norm': '5.757', 'learning_rate': '4.603e-06', 'epoch': '0.2634'} + 81%|████████████████████████▍ | 7322/9000 [6:18:07<1:08:16, 2.44s/it] {'lm_loss': '0.7317', 'visual_loss': '2.724', 'seg_loss': '0.7097', 'dino_loss': '0.9434', 'depth_loss': '0.2039', 'vggt_mse_loss': '0.2028', 'vggt_cos_loss': '0.01167', 'pidinet_loss': '0.2543', 'siglip_loss': '0.6121', 'epoch': '0.2634'} + 81%|████████████████████████▍ | 7322/9000 [6:18:09<1:08:16, 2.44s/it][Dataset] cur_step=7323 phase=D_mixed_covt +[Dataset] cur_step=7323 phase=D_mixed_covt +[Dataset] cur_step=7323 phase=D_mixed_covt +[Dataset] cur_step=7323 phase=D_mixed_covt[Dataset] cur_step=7323 phase=D_mixed_covt 81%|████████████████████████▍ | 7323/9000 [6:18:10<1:15:43, 2.71s/it] + +[Dataset] cur_step=7323 phase=D_mixed_covt +[Dataset] cur_step=7323 phase=D_mixed_covt +[Dataset] cur_step=7323 phase=D_mixed_covt + {'loss': '3.186', 'grad_norm': '2.756', 'learning_rate': '4.598e-06', 'epoch': '0.2634'} + 81%|████████████████████████▍ | 7323/9000 [6:18:10<1:15:43, 2.71s/it] {'lm_loss': '0.3151', 'visual_loss': '2.282', 'seg_loss': '0.6161', 'dino_loss': '0.8729', 'depth_loss': '0.176', 'vggt_mse_loss': '0.175', 'vggt_cos_loss': '0.009675', 'pidinet_loss': '0.1526', 'siglip_loss': '0.464', 'epoch': '0.2634'} + 81%|████████████████████████▍ | 7323/9000 [6:18:13<1:15:43, 2.71s/it][Dataset] cur_step=7324 phase=D_mixed_covt +[Dataset] cur_step=7324 phase=D_mixed_covt[Dataset] cur_step=7324 phase=D_mixed_covt + +[Dataset] cur_step=7324 phase=D_mixed_covt +[Dataset] cur_step=7324 phase=D_mixed_covt 81%|████████████████████████▍ | 7324/9000 [6:18:13<1:21:38, 2.92s/it][Dataset] cur_step=7324 phase=D_mixed_covt + +[Dataset] cur_step=7324 phase=D_mixed_covt +[Dataset] cur_step=7324 phase=D_mixed_covt + {'loss': '3.178', 'grad_norm': '4.515', 'learning_rate': '4.593e-06', 'epoch': '0.2635'} + 81%|████████████████████████▍ | 7324/9000 [6:18:13<1:21:38, 2.92s/it] {'lm_loss': '0.5433', 'visual_loss': '2.714', 'seg_loss': '0.6347', 'dino_loss': '0.9232', 'depth_loss': '0.3869', 'vggt_mse_loss': '0.3836', 'vggt_cos_loss': '0.03211', 'pidinet_loss': '0.2645', 'siglip_loss': '0.5052', 'epoch': '0.2635'} + 81%|████████████████████████▍ | 7324/9000 [6:18:16<1:21:38, 2.92s/it][Dataset] cur_step=7325 phase=D_mixed_covt +[Dataset] cur_step=7325 phase=D_mixed_covt +[Dataset] cur_step=7325 phase=D_mixed_covt +[Dataset] cur_step=7325 phase=D_mixed_covt +[Dataset] cur_step=7325 phase=D_mixed_covt +[Dataset] cur_step=7325 phase=D_mixed_covt +[Dataset] cur_step=7325 phase=D_mixed_covt + 81%|████████████████████████▍ | 7325/9000 [6:18:17<1:26:52, 3.11s/it][Dataset] cur_step=7325 phase=D_mixed_covt + {'loss': '3.133', 'grad_norm': '9.266', 'learning_rate': '4.587e-06', 'epoch': '0.2635'} + 81%|████████████████████████▍ | 7325/9000 [6:18:17<1:26:52, 3.11s/it] {'lm_loss': '0.8907', 'visual_loss': '3.276', 'seg_loss': '0.845', 'dino_loss': '0.9282', 'depth_loss': '0.6171', 'vggt_mse_loss': '0.6109', 'vggt_cos_loss': '0.06221', 'pidinet_loss': '0.2044', 'siglip_loss': '0.6816', 'epoch': '0.2635'} + 81%|████████████████████████▍ | 7325/9000 [6:18:19<1:26:52, 3.11s/it][Dataset] cur_step=7326 phase=D_mixed_covt +[Dataset] cur_step=7326 phase=D_mixed_covt +[Dataset] cur_step=7326 phase=D_mixed_covt +[Dataset] cur_step=7326 phase=D_mixed_covt +[Dataset] cur_step=7326 phase=D_mixed_covt +[Dataset] cur_step=7326 phase=D_mixed_covt +[Dataset] cur_step=7326 phase=D_mixed_covt + 81%|████████████████████████▍ | 7326/9000 [6:18:20<1:28:57, 3.19s/it][Dataset] cur_step=7326 phase=D_mixed_covt + {'loss': '3.259', 'grad_norm': '3.412', 'learning_rate': '4.582e-06', 'epoch': '0.2636'} + 81%|████████████████████████▍ | 7326/9000 [6:18:20<1:28:57, 3.19s/it] {'lm_loss': '0.6647', 'visual_loss': '2.704', 'seg_loss': '0.6684', 'dino_loss': '0.9147', 'depth_loss': '0.2875', 'vggt_mse_loss': '0.2851', 'vggt_cos_loss': '0.02369', 'pidinet_loss': '0.3004', 'siglip_loss': '0.5332', 'epoch': '0.2636'} + 81%|████████████████████████▍ | 7326/9000 [6:18:23<1:28:57, 3.19s/it][Dataset] cur_step=7327 phase=D_mixed_covt +[Dataset] cur_step=7327 phase=D_mixed_covt +[Dataset] cur_step=7327 phase=D_mixed_covt +[Dataset] cur_step=7327 phase=D_mixed_covt + 81%|████████████████████████▍ | 7327/9000 [6:18:24<1:31:22, 3.28s/it][Dataset] cur_step=7327 phase=D_mixed_covt[Dataset] cur_step=7327 phase=D_mixed_covt + +[Dataset] cur_step=7327 phase=D_mixed_covt +[Dataset] cur_step=7327 phase=D_mixed_covt + {'loss': '3.471', 'grad_norm': '2.852', 'learning_rate': '4.577e-06', 'epoch': '0.2636'} + 81%|████████████████████████▍ | 7327/9000 [6:18:24<1:31:22, 3.28s/it] {'lm_loss': '0.8601', 'visual_loss': '2.903', 'seg_loss': '0.7313', 'dino_loss': '0.9163', 'depth_loss': '0.4483', 'vggt_mse_loss': '0.4444', 'vggt_cos_loss': '0.03886', 'pidinet_loss': '0.2036', 'siglip_loss': '0.6031', 'epoch': '0.2636'} + 81%|████████████████████████▍ | 7327/9000 [6:18:26<1:31:22, 3.28s/it][Dataset] cur_step=7328 phase=D_mixed_covt +[Dataset] cur_step=7328 phase=D_mixed_covt[Dataset] cur_step=7328 phase=D_mixed_covt + +[Dataset] cur_step=7328 phase=D_mixed_covt +[Dataset] cur_step=7328 phase=D_mixed_covt +[Dataset] cur_step=7328 phase=D_mixed_covt + 81%|████████████████████████▍ | 7328/9000 [6:18:27<1:32:01, 3.30s/it][Dataset] cur_step=7328 phase=D_mixed_covt +[Dataset] cur_step=7328 phase=D_mixed_covt + {'loss': '3.219', 'grad_norm': '3.962', 'learning_rate': '4.571e-06', 'epoch': '0.2636'} + 81%|████████████████████████▍ | 7328/9000 [6:18:27<1:32:01, 3.30s/it] {'lm_loss': '0.1588', 'visual_loss': '2.26', 'seg_loss': '0.7554', 'dino_loss': '0.8686', 'depth_loss': '0.6359', 'vggt_mse_loss': '0.6294', 'vggt_cos_loss': '0.06475', 'pidinet_loss': '0', 'siglip_loss': '0', 'epoch': '0.2636'} + 81%|████████████████████████▍ | 7328/9000 [6:18:29<1:32:01, 3.30s/it][Dataset] cur_step=7329 phase=D_mixed_covt[Dataset] cur_step=7329 phase=D_mixed_covt[Dataset] cur_step=7329 phase=D_mixed_covt[Dataset] cur_step=7329 phase=D_mixed_covt + + + + 81%|████████████████████████▍ | 7329/9000 [6:18:30<1:24:26, 3.03s/it][Dataset] cur_step=7329 phase=D_mixed_covt +[Dataset] cur_step=7329 phase=D_mixed_covt +[Dataset] cur_step=7329 phase=D_mixed_covt +[Dataset] cur_step=7329 phase=D_mixed_covt + {'loss': '2.218', 'grad_norm': '4.44', 'learning_rate': '4.566e-06', 'epoch': '0.2637'} + 81%|████████████████████████▍ | 7329/9000 [6:18:30<1:24:26, 3.03s/it] {'lm_loss': '0.4407', 'visual_loss': '2.469', 'seg_loss': '0.6836', 'dino_loss': '0.8549', 'depth_loss': '0.2764', 'vggt_mse_loss': '0.2746', 'vggt_cos_loss': '0.01758', 'pidinet_loss': '0.2552', 'siglip_loss': '0.3994', 'epoch': '0.2637'} + 81%|████████████████████████▍ | 7329/9000 [6:18:32<1:24:26, 3.03s/it][Dataset] cur_step=7330 phase=D_mixed_covt +[Dataset] cur_step=7330 phase=D_mixed_covt +[Dataset] cur_step=7330 phase=D_mixed_covt 81%|████████████████████████▍ | 7330/9000 [6:18:33<1:27:56, 3.16s/it][Dataset] cur_step=7330 phase=D_mixed_covt +[Dataset] cur_step=7330 phase=D_mixed_covt + +[Dataset] cur_step=7330 phase=D_mixed_covt +[Dataset] cur_step=7330 phase=D_mixed_covt +[Dataset] cur_step=7330 phase=D_mixed_covt + {'loss': '2.899', 'grad_norm': '2.405', 'learning_rate': '4.561e-06', 'epoch': '0.2637'} + 81%|████████████████████████▍ | 7330/9000 [6:18:33<1:27:56, 3.16s/it] {'lm_loss': '0.4263', 'visual_loss': '2.399', 'seg_loss': '0.6487', 'dino_loss': '0.9063', 'depth_loss': '0.1774', 'vggt_mse_loss': '0.1762', 'vggt_cos_loss': '0.01213', 'pidinet_loss': '0.2124', 'siglip_loss': '0.4543', 'epoch': '0.2637'} + 81%|████████████████████████▍ | 7330/9000 [6:18:36<1:27:56, 3.16s/it][Dataset] cur_step=7331 phase=D_mixed_covt +[Dataset] cur_step=7331 phase=D_mixed_covt +[Dataset] cur_step=7331 phase=D_mixed_covt[Dataset] cur_step=7331 phase=D_mixed_covt + +[Dataset] cur_step=7331 phase=D_mixed_covt[Dataset] cur_step=7331 phase=D_mixed_covt + + 81%|████████████████████████▍ | 7331/9000 [6:18:37<1:37:24, 3.50s/it][Dataset] cur_step=7331 phase=D_mixed_covt +[Dataset] cur_step=7331 phase=D_mixed_covt + {'loss': '3.124', 'grad_norm': '3.014', 'learning_rate': '4.556e-06', 'epoch': '0.2637'} + 81%|████████████████████████▍ | 7331/9000 [6:18:37<1:37:24, 3.50s/it] {'lm_loss': '0.71', 'visual_loss': '2.557', 'seg_loss': '0.5557', 'dino_loss': '0.9329', 'depth_loss': '0.2485', 'vggt_mse_loss': '0.2464', 'vggt_cos_loss': '0.02132', 'pidinet_loss': '0.2304', 'siglip_loss': '0.5899', 'epoch': '0.2637'} + 81%|████████████████████████▍ | 7331/9000 [6:18:40<1:37:24, 3.50s/it][Dataset] cur_step=7332 phase=D_mixed_covt +[Dataset] cur_step=7332 phase=D_mixed_covt +[Dataset] cur_step=7332 phase=D_mixed_covt +[Dataset] cur_step=7332 phase=D_mixed_covt +[Dataset] cur_step=7332 phase=D_mixed_covt +[Dataset] cur_step=7332 phase=D_mixed_covt +[Dataset] cur_step=7332 phase=D_mixed_covt +[Dataset] cur_step=7332 phase=D_mixed_covt + 81%|████████████████████████▍ | 7332/9000 [6:18:43<1:51:43, 4.02s/it] {'loss': '3.221', 'grad_norm': '2.985', 'learning_rate': '4.55e-06', 'epoch': '0.2638'} + 81%|████████████████████████▍ | 7332/9000 [6:18:43<1:51:43, 4.02s/it] {'lm_loss': '0.8666', 'visual_loss': '2.472', 'seg_loss': '0.6007', 'dino_loss': '0.8452', 'depth_loss': '0.2056', 'vggt_mse_loss': '0.205', 'vggt_cos_loss': '0.00584', 'pidinet_loss': '0.3007', 'siglip_loss': '0.5198', 'epoch': '0.2638'} + 81%|████████████████████████▍ | 7332/9000 [6:18:45<1:51:43, 4.02s/it][Dataset] cur_step=7333 phase=D_mixed_covt +[Dataset] cur_step=7333 phase=D_mixed_covt[Dataset] cur_step=7333 phase=D_mixed_covt + +[Dataset] cur_step=7333 phase=D_mixed_covt +[Dataset] cur_step=7333 phase=D_mixed_covt +[Dataset] cur_step=7333 phase=D_mixed_covt + 81%|████████████████████████▍ | 7333/9000 [6:18:45<1:41:42, 3.66s/it][Dataset] cur_step=7333 phase=D_mixed_covt +[Dataset] cur_step=7333 phase=D_mixed_covt + {'loss': '3.265', 'grad_norm': '3.242', 'learning_rate': '4.545e-06', 'epoch': '0.2638'} + 81%|████████████████████████▍ | 7333/9000 [6:18:45<1:41:42, 3.66s/it] {'lm_loss': '0.06582', 'visual_loss': '2.538', 'seg_loss': '0.7828', 'dino_loss': '0.8952', 'depth_loss': '0.2812', 'vggt_mse_loss': '0.2788', 'vggt_cos_loss': '0.02417', 'pidinet_loss': '0.1539', 'siglip_loss': '0.4248', 'epoch': '0.2638'} + 81%|████████████████████████▍ | 7333/9000 [6:18:47<1:41:42, 3.66s/it][Dataset] cur_step=7334 phase=D_mixed_covt[Dataset] cur_step=7334 phase=D_mixed_covt + +[Dataset] cur_step=7334 phase=D_mixed_covt +[Dataset] cur_step=7334 phase=D_mixed_covt +[Dataset] cur_step=7334 phase=D_mixed_covt[Dataset] cur_step=7334 phase=D_mixed_covt + +[Dataset] cur_step=7334 phase=D_mixed_covt 81%|████████████████████████▍ | 7334/9000 [6:18:48<1:32:58, 3.35s/it] +[Dataset] cur_step=7334 phase=D_mixed_covt + {'loss': '3.248', 'grad_norm': '2.95', 'learning_rate': '4.54e-06', 'epoch': '0.2638'} + 81%|████████████████████████▍ | 7334/9000 [6:18:48<1:32:58, 3.35s/it] {'lm_loss': '0.5978', 'visual_loss': '2.679', 'seg_loss': '0.7987', 'dino_loss': '0.8902', 'depth_loss': '0.3103', 'vggt_mse_loss': '0.3079', 'vggt_cos_loss': '0.02449', 'pidinet_loss': '0.2351', 'siglip_loss': '0.4447', 'epoch': '0.2638'} + 81%|████████████████████████▍ | 7334/9000 [6:18:50<1:32:58, 3.35s/it][Dataset] cur_step=7335 phase=D_mixed_covt +[Dataset] cur_step=7335 phase=D_mixed_covt[Dataset] cur_step=7335 phase=D_mixed_covt + +[Dataset] cur_step=7335 phase=D_mixed_covt +[Dataset] cur_step=7335 phase=D_mixed_covt +[Dataset] cur_step=7335 phase=D_mixed_covt +[Dataset] cur_step=7335 phase=D_mixed_covt + 82%|████████████████████████▍ | 7335/9000 [6:18:51<1:32:23, 3.33s/it][Dataset] cur_step=7335 phase=D_mixed_covt + {'loss': '3.113', 'grad_norm': '2.214', 'learning_rate': '4.534e-06', 'epoch': '0.2639'} + 82%|████████████████████████▍ | 7335/9000 [6:18:51<1:32:23, 3.33s/it] {'lm_loss': '0.8788', 'visual_loss': '2.619', 'seg_loss': '0.9545', 'dino_loss': '0.935', 'depth_loss': '0.2402', 'vggt_mse_loss': '0.2384', 'vggt_cos_loss': '0.01807', 'pidinet_loss': '0', 'siglip_loss': '0.4892', 'epoch': '0.2639'} + 82%|████████████████████████▍ | 7335/9000 [6:18:52<1:32:23, 3.33s/it][Dataset] cur_step=7336 phase=D_mixed_covt[Dataset] cur_step=7336 phase=D_mixed_covt + +[Dataset] cur_step=7336 phase=D_mixed_covt +[Dataset] cur_step=7336 phase=D_mixed_covt +[Dataset] cur_step=7336 phase=D_mixed_covt +[Dataset] cur_step=7336 phase=D_mixed_covt +[Dataset] cur_step=7336 phase=D_mixed_covt +[Dataset] cur_step=7336 phase=D_mixed_covt + 82%|████████████████████████▍ | 7336/9000 [6:18:53<1:21:00, 2.92s/it] {'loss': '3.241', 'grad_norm': '5.257', 'learning_rate': '4.529e-06', 'epoch': '0.2639'} + 82%|████████████████████████▍ | 7336/9000 [6:18:53<1:21:00, 2.92s/it] {'lm_loss': '0.7428', 'visual_loss': '2.185', 'seg_loss': '0.543', 'dino_loss': '0.9011', 'depth_loss': '0.2112', 'vggt_mse_loss': '0.21', 'vggt_cos_loss': '0.01192', 'pidinet_loss': '0.2132', 'siglip_loss': '0.3164', 'epoch': '0.2639'} + 82%|████████████████████████▍ | 7336/9000 [6:18:55<1:21:00, 2.92s/it][Dataset] cur_step=7337 phase=D_mixed_covt +[Dataset] cur_step=7337 phase=D_mixed_covt[Dataset] cur_step=7337 phase=D_mixed_covt + + 82%|████████████████████████▍ | 7337/9000 [6:18:56<1:20:23, 2.90s/it][Dataset] cur_step=7337 phase=D_mixed_covt +[Dataset] cur_step=7337 phase=D_mixed_covt +[Dataset] cur_step=7337 phase=D_mixed_covt +[Dataset] cur_step=7337 phase=D_mixed_covt +[Dataset] cur_step=7337 phase=D_mixed_covt + {'loss': '3.093', 'grad_norm': '2.887', 'learning_rate': '4.524e-06', 'epoch': '0.2639'} + 82%|████████████████████████▍ | 7337/9000 [6:18:56<1:20:23, 2.90s/it] {'lm_loss': '0.1305', 'visual_loss': '2.993', 'seg_loss': '0.9708', 'dino_loss': '0.9242', 'depth_loss': '0.2802', 'vggt_mse_loss': '0.2781', 'vggt_cos_loss': '0.02097', 'pidinet_loss': '0.254', 'siglip_loss': '0.564', 'epoch': '0.2639'} + 82%|████████████████████████▍ | 7337/9000 [6:18:57<1:20:23, 2.90s/it][Dataset] cur_step=7338 phase=D_mixed_covt +[Dataset] cur_step=7338 phase=D_mixed_covt +[Dataset] cur_step=7338 phase=D_mixed_covt +[Dataset] cur_step=7338 phase=D_mixed_covt +[Dataset] cur_step=7338 phase=D_mixed_covt +[Dataset] cur_step=7338 phase=D_mixed_covt + 82%|████████████████████████▍ | 7338/9000 [6:19:00<1:30:52, 3.28s/it][Dataset] cur_step=7338 phase=D_mixed_covt +[Dataset] cur_step=7338 phase=D_mixed_covt + {'loss': '3.27', 'grad_norm': '4.271', 'learning_rate': '4.519e-06', 'epoch': '0.264'} + 82%|████████████████████████▍ | 7338/9000 [6:19:00<1:30:52, 3.28s/it] {'lm_loss': '0.5774', 'visual_loss': '3.003', 'seg_loss': '0.8355', 'dino_loss': '0.9261', 'depth_loss': '0.2097', 'vggt_mse_loss': '0.2084', 'vggt_cos_loss': '0.01317', 'pidinet_loss': '0.2245', 'siglip_loss': '0.8073', 'epoch': '0.264'} + 82%|████████████████████████▍ | 7338/9000 [6:19:02<1:30:52, 3.28s/it][Dataset] cur_step=7339 phase=D_mixed_covt +[Dataset] cur_step=7339 phase=D_mixed_covt +[Dataset] cur_step=7339 phase=D_mixed_covt +[Dataset] cur_step=7339 phase=D_mixed_covt +[Dataset] cur_step=7339 phase=D_mixed_covt[Dataset] cur_step=7339 phase=D_mixed_covt + +[Dataset] cur_step=7339 phase=D_mixed_covt +[Dataset] cur_step=7339 phase=D_mixed_covt + 82%|████████████████████████▍ | 7339/9000 [6:19:03<1:24:00, 3.03s/it] {'loss': '3.193', 'grad_norm': '4.043', 'learning_rate': '4.513e-06', 'epoch': '0.264'} + 82%|████████████████████████▍ | 7339/9000 [6:19:03<1:24:00, 3.03s/it] {'lm_loss': '0.05514', 'visual_loss': '2.861', 'seg_loss': '0.7179', 'dino_loss': '0.8989', 'depth_loss': '0.3459', 'vggt_mse_loss': '0.3426', 'vggt_cos_loss': '0.03315', 'pidinet_loss': '0.2711', 'siglip_loss': '0.6275', 'epoch': '0.264'} + 82%|████████████████████████▍ | 7339/9000 [6:19:05<1:24:00, 3.03s/it][Dataset] cur_step=7340 phase=D_mixed_covt[Dataset] cur_step=7340 phase=D_mixed_covt + +[Dataset] cur_step=7340 phase=D_mixed_covt[Dataset] cur_step=7340 phase=D_mixed_covt + +[Dataset] cur_step=7340 phase=D_mixed_covt +[Dataset] cur_step=7340 phase=D_mixed_covt +[Dataset] cur_step=7340 phase=D_mixed_covt +[Dataset] cur_step=7340 phase=D_mixed_covt + 82%|████████████████████████▍ | 7340/9000 [6:19:06<1:25:54, 3.11s/it] {'loss': '3.077', 'grad_norm': '2.951', 'learning_rate': '4.508e-06', 'epoch': '0.2641'} + 82%|████████████████████████▍ | 7340/9000 [6:19:06<1:25:54, 3.11s/it] {'lm_loss': '1.2', 'visual_loss': '2.547', 'seg_loss': '0.6678', 'dino_loss': '0.8841', 'depth_loss': '0.1568', 'vggt_mse_loss': '0.156', 'vggt_cos_loss': '0.008033', 'pidinet_loss': '0.2553', 'siglip_loss': '0.5831', 'epoch': '0.2641'} + 82%|████████████████████████▍ | 7340/9000 [6:19:09<1:25:54, 3.11s/it][Dataset] cur_step=7341 phase=D_mixed_covt[Dataset] cur_step=7341 phase=D_mixed_covt[Dataset] cur_step=7341 phase=D_mixed_covt + + +[Dataset] cur_step=7341 phase=D_mixed_covt +[Dataset] cur_step=7341 phase=D_mixed_covt 82%|████████████████████████▍ | 7341/9000 [6:19:09<1:27:37, 3.17s/it] +[Dataset] cur_step=7341 phase=D_mixed_covt +[Dataset] cur_step=7341 phase=D_mixed_covt +[Dataset] cur_step=7341 phase=D_mixed_covt + {'loss': '3.27', 'grad_norm': '2.896', 'learning_rate': '4.503e-06', 'epoch': '0.2641'} + 82%|████████████████████████▍ | 7341/9000 [6:19:09<1:27:37, 3.17s/it] {'lm_loss': '0.52', 'visual_loss': '2.685', 'seg_loss': '0.7672', 'dino_loss': '0.9167', 'depth_loss': '0.2299', 'vggt_mse_loss': '0.2282', 'vggt_cos_loss': '0.0169', 'pidinet_loss': '0.2519', 'siglip_loss': '0.5192', 'epoch': '0.2641'} + 82%|████████████████████████▍ | 7341/9000 [6:19:13<1:27:37, 3.17s/it][Dataset] cur_step=7342 phase=D_mixed_covt +[Dataset] cur_step=7342 phase=D_mixed_covt +[Dataset] cur_step=7342 phase=D_mixed_covt +[Dataset] cur_step=7342 phase=D_mixed_covt[Dataset] cur_step=7342 phase=D_mixed_covt[Dataset] cur_step=7342 phase=D_mixed_covt + + +[Dataset] cur_step=7342 phase=D_mixed_covt[Dataset] cur_step=7342 phase=D_mixed_covt 82%|████████████████████████▍ | 7342/9000 [6:19:13<1:33:55, 3.40s/it] + + {'loss': '3.16', 'grad_norm': '4.253', 'learning_rate': '4.498e-06', 'epoch': '0.2641'} + 82%|████████████████████████▍ | 7342/9000 [6:19:13<1:33:55, 3.40s/it] {'lm_loss': '0.9791', 'visual_loss': '2.014', 'seg_loss': '0', 'dino_loss': '0.912', 'depth_loss': '0.2475', 'vggt_mse_loss': '0.2462', 'vggt_cos_loss': '0.0129', 'pidinet_loss': '0.2727', 'siglip_loss': '0.5814', 'epoch': '0.2641'} + 82%|████████████████████████▍ | 7342/9000 [6:19:14<1:33:55, 3.40s/it][Dataset] cur_step=7343 phase=D_mixed_covt[Dataset] cur_step=7343 phase=D_mixed_covt + +[Dataset] cur_step=7343 phase=D_mixed_covt +[Dataset] cur_step=7343 phase=D_mixed_covt +[Dataset] cur_step=7343 phase=D_mixed_covt +[Dataset] cur_step=7343 phase=D_mixed_covt +[Dataset] cur_step=7343 phase=D_mixed_covt + 82%|████████████████████████▍ | 7343/9000 [6:19:14<1:15:38, 2.74s/it][Dataset] cur_step=7343 phase=D_mixed_covt + {'loss': '2.78', 'grad_norm': '6.168', 'learning_rate': '4.492e-06', 'epoch': '0.2642'} + 82%|████████████████████████▍ | 7343/9000 [6:19:14<1:15:38, 2.74s/it] {'lm_loss': '0.05547', 'visual_loss': '2.251', 'seg_loss': '0.4395', 'dino_loss': '0.861', 'depth_loss': '0.1873', 'vggt_mse_loss': '0.1858', 'vggt_cos_loss': '0.01505', 'pidinet_loss': '0.229', 'siglip_loss': '0.5346', 'epoch': '0.2642'} + 82%|████████████████████████▍ | 7343/9000 [6:19:17<1:15:38, 2.74s/it][Dataset] cur_step=7344 phase=D_mixed_covt +[Dataset] cur_step=7344 phase=D_mixed_covt +[Dataset] cur_step=7344 phase=D_mixed_covt +[Dataset] cur_step=7344 phase=D_mixed_covt +[Dataset] cur_step=7344 phase=D_mixed_covt +[Dataset] cur_step=7344 phase=D_mixed_covt[Dataset] cur_step=7344 phase=D_mixed_covt + 82%|████████████████████████▍ | 7344/9000 [6:19:18<1:19:17, 2.87s/it] +[Dataset] cur_step=7344 phase=D_mixed_covt + {'loss': '2.976', 'grad_norm': '2.862', 'learning_rate': '4.487e-06', 'epoch': '0.2642'} + 82%|████████████████████████▍ | 7344/9000 [6:19:18<1:19:17, 2.87s/it] {'lm_loss': '0.7634', 'visual_loss': '2.645', 'seg_loss': '0.8049', 'dino_loss': '0.8831', 'depth_loss': '0.1397', 'vggt_mse_loss': '0.1387', 'vggt_cos_loss': '0.009945', 'pidinet_loss': '0.3131', 'siglip_loss': '0.5045', 'epoch': '0.2642'} + 82%|████████████████████████▍ | 7344/9000 [6:19:19<1:19:17, 2.87s/it][Dataset] cur_step=7345 phase=D_mixed_covt +[Dataset] cur_step=7345 phase=D_mixed_covt +[Dataset] cur_step=7345 phase=D_mixed_covt +[Dataset] cur_step=7345 phase=D_mixed_covt[Dataset] cur_step=7345 phase=D_mixed_covt + +[Dataset] cur_step=7345 phase=D_mixed_covt +[Dataset] cur_step=7345 phase=D_mixed_covt +[Dataset] cur_step=7345 phase=D_mixed_covt + 82%|████████████████████████▍ | 7345/9000 [6:19:23<1:36:49, 3.51s/it] {'loss': '3.399', 'grad_norm': '3.721', 'learning_rate': '4.482e-06', 'epoch': '0.2642'} + 82%|████████████████████████▍ | 7345/9000 [6:19:23<1:36:49, 3.51s/it] {'lm_loss': '1.593', 'visual_loss': '2.748', 'seg_loss': '0.8566', 'dino_loss': '0.9364', 'depth_loss': '0.2141', 'vggt_mse_loss': '0.2125', 'vggt_cos_loss': '0.0151', 'pidinet_loss': '0.2382', 'siglip_loss': '0.503', 'epoch': '0.2642'} + 82%|████████████████████████▍ | 7345/9000 [6:19:24<1:36:49, 3.51s/it][Dataset] cur_step=7346 phase=D_mixed_covt[Dataset] cur_step=7346 phase=D_mixed_covt[Dataset] cur_step=7346 phase=D_mixed_covt[Dataset] cur_step=7346 phase=D_mixed_covt + + + +[Dataset] cur_step=7346 phase=D_mixed_covt +[Dataset] cur_step=7346 phase=D_mixed_covt +[Dataset] cur_step=7346 phase=D_mixed_covt +[Dataset] cur_step=7346 phase=D_mixed_covt + 82%|████████████████████████▍ | 7346/9000 [6:19:25<1:28:06, 3.20s/it] {'loss': '3.724', 'grad_norm': '2.908', 'learning_rate': '4.477e-06', 'epoch': '0.2643'} + 82%|████████████████████████▍ | 7346/9000 [6:19:25<1:28:06, 3.20s/it] {'lm_loss': '0.5517', 'visual_loss': '2.69', 'seg_loss': '0.4946', 'dino_loss': '0.9086', 'depth_loss': '0.2628', 'vggt_mse_loss': '0.2614', 'vggt_cos_loss': '0.01427', 'pidinet_loss': '0.3377', 'siglip_loss': '0.6861', 'epoch': '0.2643'} + 82%|████████████████████████▍ | 7346/9000 [6:19:27<1:28:06, 3.20s/it][Dataset] cur_step=7347 phase=D_mixed_covt[Dataset] cur_step=7347 phase=D_mixed_covt[Dataset] cur_step=7347 phase=D_mixed_covt + + +[Dataset] cur_step=7347 phase=D_mixed_covt[Dataset] cur_step=7347 phase=D_mixed_covt + +[Dataset] cur_step=7347 phase=D_mixed_covt +[Dataset] cur_step=7347 phase=D_mixed_covt + 82%|████████████████████████▍ | 7347/9000 [6:19:28<1:28:19, 3.21s/it][Dataset] cur_step=7347 phase=D_mixed_covt + {'loss': '3.353', 'grad_norm': '5.39', 'learning_rate': '4.471e-06', 'epoch': '0.2643'} + 82%|████████████████████████▍ | 7347/9000 [6:19:28<1:28:19, 3.21s/it] {'lm_loss': '1.225', 'visual_loss': '2.474', 'seg_loss': '0.7025', 'dino_loss': '0.9113', 'depth_loss': '0.1953', 'vggt_mse_loss': '0.194', 'vggt_cos_loss': '0.01224', 'pidinet_loss': '0.1831', 'siglip_loss': '0.482', 'epoch': '0.2643'} + 82%|████████████████████████▍ | 7347/9000 [6:19:32<1:28:19, 3.21s/it][Dataset] cur_step=7348 phase=D_mixed_covt +[Dataset] cur_step=7348 phase=D_mixed_covt +[Dataset] cur_step=7348 phase=D_mixed_covt +[Dataset] cur_step=7348 phase=D_mixed_covt +[Dataset] cur_step=7348 phase=D_mixed_covt +[Dataset] cur_step=7348 phase=D_mixed_covt +[Dataset] cur_step=7348 phase=D_mixed_covt + 82%|████████████████████████▍ | 7348/9000 [6:19:32<1:35:31, 3.47s/it][Dataset] cur_step=7348 phase=D_mixed_covt + {'loss': '3.52', 'grad_norm': '1.858', 'learning_rate': '4.466e-06', 'epoch': '0.2643'} + 82%|████████████████████████▍ | 7348/9000 [6:19:32<1:35:31, 3.47s/it] {'lm_loss': '0.15', 'visual_loss': '1.911', 'seg_loss': '0.6623', 'dino_loss': '0.9043', 'depth_loss': '0.1791', 'vggt_mse_loss': '0.178', 'vggt_cos_loss': '0.01067', 'pidinet_loss': '0.1655', 'siglip_loss': '0', 'epoch': '0.2643'} + 82%|████████████████████████▍ | 7348/9000 [6:19:34<1:35:31, 3.47s/it][Dataset] cur_step=7349 phase=D_mixed_covt +[Dataset] cur_step=7349 phase=D_mixed_covt[Dataset] cur_step=7349 phase=D_mixed_covt + +[Dataset] cur_step=7349 phase=D_mixed_covt[Dataset] cur_step=7349 phase=D_mixed_covt + + 82%|████████████████████████▍ | 7349/9000 [6:19:35<1:27:34, 3.18s/it][Dataset] cur_step=7349 phase=D_mixed_covt +[Dataset] cur_step=7349 phase=D_mixed_covt[Dataset] cur_step=7349 phase=D_mixed_covt + + {'loss': '2.33', 'grad_norm': '9.022', 'learning_rate': '4.461e-06', 'epoch': '0.2644'} + 82%|████████████████████████▍ | 7349/9000 [6:19:35<1:27:34, 3.18s/it] {'lm_loss': '0.853', 'visual_loss': '2.793', 'seg_loss': '0.7581', 'dino_loss': '0.8931', 'depth_loss': '0.2608', 'vggt_mse_loss': '0.2585', 'vggt_cos_loss': '0.02318', 'pidinet_loss': '0.3021', 'siglip_loss': '0.5788', 'epoch': '0.2644'} + 82%|████████████████████████▍ | 7349/9000 [6:19:38<1:27:34, 3.18s/it][Dataset] cur_step=7350 phase=D_mixed_covt[Dataset] cur_step=7350 phase=D_mixed_covt + +[Dataset] cur_step=7350 phase=D_mixed_covt +[Dataset] cur_step=7350 phase=D_mixed_covt +[Dataset] cur_step=7350 phase=D_mixed_covt +[Dataset] cur_step=7350 phase=D_mixed_covt + 82%|████████████████████████▌ | 7350/9000 [6:19:39<1:36:24, 3.51s/it][Dataset] cur_step=7350 phase=D_mixed_covt +[Dataset] cur_step=7350 phase=D_mixed_covt + {'loss': '3.252', 'grad_norm': '2.72', 'learning_rate': '4.456e-06', 'epoch': '0.2644'} + 82%|████████████████████████▌ | 7350/9000 [6:19:39<1:36:24, 3.51s/it] {'lm_loss': '0.07342', 'visual_loss': '2.558', 'seg_loss': '0.8571', 'dino_loss': '0.8953', 'depth_loss': '0.1882', 'vggt_mse_loss': '0.1871', 'vggt_cos_loss': '0.01109', 'pidinet_loss': '0.1698', 'siglip_loss': '0.448', 'epoch': '0.2644'} + 82%|████████████████████████▌ | 7350/9000 [6:19:41<1:36:24, 3.51s/it][Dataset] cur_step=7351 phase=D_mixed_covt +[Dataset] cur_step=7351 phase=D_mixed_covt +[Dataset] cur_step=7351 phase=D_mixed_covt 82%|████████████████████████▌ | 7351/9000 [6:19:41<1:22:12, 2.99s/it] +[Dataset] cur_step=7351 phase=D_mixed_covt +[Dataset] cur_step=7351 phase=D_mixed_covt[Dataset] cur_step=7351 phase=D_mixed_covt + +[Dataset] cur_step=7351 phase=D_mixed_covt +[Dataset] cur_step=7351 phase=D_mixed_covt + {'loss': '3.269', 'grad_norm': '3.744', 'learning_rate': '4.45e-06', 'epoch': '0.2645'} + 82%|████████████████████████▌ | 7351/9000 [6:19:41<1:22:12, 2.99s/it] {'lm_loss': '0.5712', 'visual_loss': '1.871', 'seg_loss': '0.5735', 'dino_loss': '0.8864', 'depth_loss': '0.2363', 'vggt_mse_loss': '0.2347', 'vggt_cos_loss': '0.01609', 'pidinet_loss': '0.08976', 'siglip_loss': '0.08534', 'epoch': '0.2645'} + 82%|████████████████████████▌ | 7351/9000 [6:19:44<1:22:12, 2.99s/it][Dataset] cur_step=7352 phase=D_mixed_covt +[Dataset] cur_step=7352 phase=D_mixed_covt +[Dataset] cur_step=7352 phase=D_mixed_covt +[Dataset] cur_step=7352 phase=D_mixed_covt +[Dataset] cur_step=7352 phase=D_mixed_covt + 82%|████████████████████████▌ | 7352/9000 [6:19:44<1:25:37, 3.12s/it][Dataset] cur_step=7352 phase=D_mixed_covt +[Dataset] cur_step=7352 phase=D_mixed_covt +[Dataset] cur_step=7352 phase=D_mixed_covt + {'loss': '2.94', 'grad_norm': '2.468', 'learning_rate': '4.445e-06', 'epoch': '0.2645'} + 82%|████████████████████████▌ | 7352/9000 [6:19:44<1:25:37, 3.12s/it] {'lm_loss': '1.215', 'visual_loss': '0.6688', 'seg_loss': '0', 'dino_loss': '0', 'depth_loss': '0.2243', 'vggt_mse_loss': '0.2228', 'vggt_cos_loss': '0.01489', 'pidinet_loss': '0.07558', 'siglip_loss': '0.369', 'epoch': '0.2645'} + 82%|████████████████████████▌ | 7352/9000 [6:19:45<1:25:37, 3.12s/it][Dataset] cur_step=7353 phase=D_mixed_covt +[Dataset] cur_step=7353 phase=D_mixed_covt +[Dataset] cur_step=7353 phase=D_mixed_covt +[Dataset] cur_step=7353 phase=D_mixed_covt +[Dataset] cur_step=7353 phase=D_mixed_covt[Dataset] cur_step=7353 phase=D_mixed_covt + +[Dataset] cur_step=7353 phase=D_mixed_covt +[Dataset] cur_step=7353 phase=D_mixed_covt + 82%|████████████████████████▌ | 7353/9000 [6:19:46<1:09:19, 2.53s/it] {'loss': '1.665', 'grad_norm': '7.173', 'learning_rate': '4.44e-06', 'epoch': '0.2645'} + 82%|████████████████████████▌ | 7353/9000 [6:19:46<1:09:19, 2.53s/it] {'lm_loss': '1.12', 'visual_loss': '1.219', 'seg_loss': '0', 'dino_loss': '0.8848', 'depth_loss': '0.1381', 'vggt_mse_loss': '0.137', 'vggt_cos_loss': '0.01047', 'pidinet_loss': '0.1957', 'siglip_loss': '0', 'epoch': '0.2645'} + 82%|████████████████████████▌ | 7353/9000 [6:19:46<1:09:19, 2.53s/it][Dataset] cur_step=7354 phase=D_mixed_covt +[Dataset] cur_step=7354 phase=D_mixed_covt[Dataset] cur_step=7354 phase=D_mixed_covt + +[Dataset] cur_step=7354 phase=D_mixed_covt[Dataset] cur_step=7354 phase=D_mixed_covt[Dataset] cur_step=7354 phase=D_mixed_covt + + + 82%|██████████████████████████▏ | 7354/9000 [6:19:47<58:14, 2.12s/it][Dataset] cur_step=7354 phase=D_mixed_covt +[Dataset] cur_step=7354 phase=D_mixed_covt + {'loss': '2.237', 'grad_norm': '2.967', 'learning_rate': '4.435e-06', 'epoch': '0.2646'} + 82%|██████████████████████████▏ | 7354/9000 [6:19:47<58:14, 2.12s/it] {'lm_loss': '0.3726', 'visual_loss': '2.525', 'seg_loss': '0.6994', 'dino_loss': '0.9088', 'depth_loss': '0.2256', 'vggt_mse_loss': '0.2242', 'vggt_cos_loss': '0.01364', 'pidinet_loss': '0.3034', 'siglip_loss': '0.3876', 'epoch': '0.2646'} + 82%|██████████████████████████▏ | 7354/9000 [6:19:49<58:14, 2.12s/it][Dataset] cur_step=7355 phase=D_mixed_covt +[Dataset] cur_step=7355 phase=D_mixed_covt +[Dataset] cur_step=7355 phase=D_mixed_covt +[Dataset] cur_step=7355 phase=D_mixed_covt + 82%|████████████████████████▌ | 7355/9000 [6:19:50<1:08:06, 2.48s/it][Dataset] cur_step=7355 phase=D_mixed_covt[Dataset] cur_step=7355 phase=D_mixed_covt +[Dataset] cur_step=7355 phase=D_mixed_covt + +[Dataset] cur_step=7355 phase=D_mixed_covt + {'loss': '3.151', 'grad_norm': '2.859', 'learning_rate': '4.429e-06', 'epoch': '0.2646'} + 82%|████████████████████████▌ | 7355/9000 [6:19:50<1:08:06, 2.48s/it] {'lm_loss': '0.1065', 'visual_loss': '2.48', 'seg_loss': '0.8941', 'dino_loss': '0.8851', 'depth_loss': '0.2622', 'vggt_mse_loss': '0.2602', 'vggt_cos_loss': '0.02009', 'pidinet_loss': '0', 'siglip_loss': '0.4383', 'epoch': '0.2646'} + 82%|████████████████████████▌ | 7355/9000 [6:19:51<1:08:06, 2.48s/it][Dataset] cur_step=7356 phase=D_mixed_covt +[Dataset] cur_step=7356 phase=D_mixed_covt +[Dataset] cur_step=7356 phase=D_mixed_covt[Dataset] cur_step=7356 phase=D_mixed_covt[Dataset] cur_step=7356 phase=D_mixed_covt[Dataset] cur_step=7356 phase=D_mixed_covt + + + +[Dataset] cur_step=7356 phase=D_mixed_covt + 82%|████████████████████████▌ | 7356/9000 [6:19:52<1:06:07, 2.41s/it][Dataset] cur_step=7356 phase=D_mixed_covt + {'loss': '3.062', 'grad_norm': '2.808', 'learning_rate': '4.424e-06', 'epoch': '0.2646'} + 82%|████████████████████████▌ | 7356/9000 [6:19:52<1:06:07, 2.41s/it] {'lm_loss': '1.118', 'visual_loss': '2.716', 'seg_loss': '0.718', 'dino_loss': '0.9319', 'depth_loss': '0.1595', 'vggt_mse_loss': '0.1582', 'vggt_cos_loss': '0.01233', 'pidinet_loss': '0.2088', 'siglip_loss': '0.6979', 'epoch': '0.2646'} + 82%|████████████████████████▌ | 7356/9000 [6:19:55<1:06:07, 2.41s/it][Dataset] cur_step=7357 phase=D_mixed_covt +[Dataset] cur_step=7357 phase=D_mixed_covt +[Dataset] cur_step=7357 phase=D_mixed_covt + 82%|████████████████████████▌ | 7357/9000 [6:19:55<1:10:22, 2.57s/it][Dataset] cur_step=7357 phase=D_mixed_covt +[Dataset] cur_step=7357 phase=D_mixed_covt +[Dataset] cur_step=7357 phase=D_mixed_covt +[Dataset] cur_step=7357 phase=D_mixed_covt +[Dataset] cur_step=7357 phase=D_mixed_covt + {'loss': '3.411', 'grad_norm': '3.328', 'learning_rate': '4.419e-06', 'epoch': '0.2647'} + 82%|████████████████████████▌ | 7357/9000 [6:19:55<1:10:22, 2.57s/it] {'lm_loss': '0.6696', 'visual_loss': '1.919', 'seg_loss': '0.9473', 'dino_loss': '0', 'depth_loss': '0.1911', 'vggt_mse_loss': '0.1896', 'vggt_cos_loss': '0.01523', 'pidinet_loss': '0.3097', 'siglip_loss': '0.471', 'epoch': '0.2647'} + 82%|████████████████████████▌ | 7357/9000 [6:19:57<1:10:22, 2.57s/it][Dataset] cur_step=7358 phase=D_mixed_covt[Dataset] cur_step=7358 phase=D_mixed_covt[Dataset] cur_step=7358 phase=D_mixed_covt[Dataset] cur_step=7358 phase=D_mixed_covt + + + +[Dataset] cur_step=7358 phase=D_mixed_covt[Dataset] cur_step=7358 phase=D_mixed_covt + + 82%|████████████████████████▌ | 7358/9000 [6:19:58<1:10:24, 2.57s/it][Dataset] cur_step=7358 phase=D_mixed_covt +[Dataset] cur_step=7358 phase=D_mixed_covt + {'loss': '2.548', 'grad_norm': '8.561', 'learning_rate': '4.414e-06', 'epoch': '0.2647'} + 82%|████████████████████████▌ | 7358/9000 [6:19:58<1:10:24, 2.57s/it] {'lm_loss': '0.7241', 'visual_loss': '2.488', 'seg_loss': '0.706', 'dino_loss': '0.9204', 'depth_loss': '0.1959', 'vggt_mse_loss': '0.1945', 'vggt_cos_loss': '0.0134', 'pidinet_loss': '0.2135', 'siglip_loss': '0.4517', 'epoch': '0.2647'} + 82%|████████████████████████▌ | 7358/9000 [6:20:00<1:10:24, 2.57s/it][Dataset] cur_step=7359 phase=D_mixed_covt +[Dataset] cur_step=7359 phase=D_mixed_covt +[Dataset] cur_step=7359 phase=D_mixed_covt +[Dataset] cur_step=7359 phase=D_mixed_covt +[Dataset] cur_step=7359 phase=D_mixed_covt 82%|████████████████████████▌ | 7359/9000 [6:20:04<1:39:30, 3.64s/it] +[Dataset] cur_step=7359 phase=D_mixed_covt +[Dataset] cur_step=7359 phase=D_mixed_covt[Dataset] cur_step=7359 phase=D_mixed_covt + + {'loss': '3.518', 'grad_norm': '3.273', 'learning_rate': '4.409e-06', 'epoch': '0.2647'} + 82%|████████████████████████▌ | 7359/9000 [6:20:04<1:39:30, 3.64s/it] {'lm_loss': '0.5659', 'visual_loss': '2.723', 'seg_loss': '0.6749', 'dino_loss': '0.9517', 'depth_loss': '0.2705', 'vggt_mse_loss': '0.2684', 'vggt_cos_loss': '0.02106', 'pidinet_loss': '0.241', 'siglip_loss': '0.5849', 'epoch': '0.2647'} + 82%|████████████████████████▌ | 7359/9000 [6:20:05<1:39:30, 3.64s/it][Dataset] cur_step=7360 phase=D_mixed_covt +[Dataset] cur_step=7360 phase=D_mixed_covt[Dataset] cur_step=7360 phase=D_mixed_covt + + 82%|████████████████████████▌ | 7360/9000 [6:20:06<1:27:03, 3.18s/it][Dataset] cur_step=7360 phase=D_mixed_covt +[Dataset] cur_step=7360 phase=D_mixed_covt +[Dataset] cur_step=7360 phase=D_mixed_covt +[Dataset] cur_step=7360 phase=D_mixed_covt +[Dataset] cur_step=7360 phase=D_mixed_covt + {'loss': '3.322', 'grad_norm': '3.355', 'learning_rate': '4.403e-06', 'epoch': '0.2648'} + 82%|████████████████████████▌ | 7360/9000 [6:20:06<1:27:03, 3.18s/it] {'lm_loss': '0.1002', 'visual_loss': '2.279', 'seg_loss': '0.39', 'dino_loss': '0.927', 'depth_loss': '0.1796', 'vggt_mse_loss': '0.1783', 'vggt_cos_loss': '0.01218', 'pidinet_loss': '0.2138', 'siglip_loss': '0.5685', 'epoch': '0.2648'} + 82%|████████████████████████▌ | 7360/9000 [6:20:08<1:27:03, 3.18s/it][Dataset] cur_step=7361 phase=D_mixed_covt +[Dataset] cur_step=7361 phase=D_mixed_covt +[Dataset] cur_step=7361 phase=D_mixed_covt 82%|████████████████████████▌ | 7361/9000 [6:20:09<1:23:37, 3.06s/it] +[Dataset] cur_step=7361 phase=D_mixed_covt[Dataset] cur_step=7361 phase=D_mixed_covt + +[Dataset] cur_step=7361 phase=D_mixed_covt +[Dataset] cur_step=7361 phase=D_mixed_covt +[Dataset] cur_step=7361 phase=D_mixed_covt + {'loss': '3.16', 'grad_norm': '4.161', 'learning_rate': '4.398e-06', 'epoch': '0.2648'} + 82%|████████████████████████▌ | 7361/9000 [6:20:09<1:23:37, 3.06s/it] {'lm_loss': '0.8506', 'visual_loss': '1.768', 'seg_loss': '0.8489', 'dino_loss': '0', 'depth_loss': '0.2201', 'vggt_mse_loss': '0.2184', 'vggt_cos_loss': '0.01713', 'pidinet_loss': '0.268', 'siglip_loss': '0.4314', 'epoch': '0.2648'} + 82%|████████████████████████▌ | 7361/9000 [6:20:10<1:23:37, 3.06s/it][Dataset] cur_step=7362 phase=D_mixed_covt +[Dataset] cur_step=7362 phase=D_mixed_covt[Dataset] cur_step=7362 phase=D_mixed_covt[Dataset] cur_step=7362 phase=D_mixed_covt + + + 82%|████████████████████████▌ | 7362/9000 [6:20:11<1:13:31, 2.69s/it][Dataset] cur_step=7362 phase=D_mixed_covt +[Dataset] cur_step=7362 phase=D_mixed_covt +[Dataset] cur_step=7362 phase=D_mixed_covt +[Dataset] cur_step=7362 phase=D_mixed_covt + {'loss': '2.297', 'grad_norm': '5.709', 'learning_rate': '4.393e-06', 'epoch': '0.2648'} + 82%|████████████████████████▌ | 7362/9000 [6:20:11<1:13:31, 2.69s/it] {'lm_loss': '1.196', 'visual_loss': '2.549', 'seg_loss': '0.7861', 'dino_loss': '0.8031', 'depth_loss': '0.1514', 'vggt_mse_loss': '0.1505', 'vggt_cos_loss': '0.008691', 'pidinet_loss': '0.2696', 'siglip_loss': '0.5387', 'epoch': '0.2648'} + 82%|████████████████████████▌ | 7362/9000 [6:20:12<1:13:31, 2.69s/it][Dataset] cur_step=7363 phase=D_mixed_covt +[Dataset] cur_step=7363 phase=D_mixed_covt +[Dataset] cur_step=7363 phase=D_mixed_covt +[Dataset] cur_step=7363 phase=D_mixed_covt[Dataset] cur_step=7363 phase=D_mixed_covt + +[Dataset] cur_step=7363 phase=D_mixed_covt[Dataset] cur_step=7363 phase=D_mixed_covt +[Dataset] cur_step=7363 phase=D_mixed_covt + 82%|████████████████████████▌ | 7363/9000 [6:20:13<1:07:00, 2.46s/it] + {'loss': '3.458', 'grad_norm': '5.289', 'learning_rate': '4.388e-06', 'epoch': '0.2649'} + 82%|████████████████████████▌ | 7363/9000 [6:20:13<1:07:00, 2.46s/it] {'lm_loss': '0.6827', 'visual_loss': '2.926', 'seg_loss': '0.8541', 'dino_loss': '0.9222', 'depth_loss': '0.2822', 'vggt_mse_loss': '0.2806', 'vggt_cos_loss': '0.01648', 'pidinet_loss': '0.2833', 'siglip_loss': '0.5839', 'epoch': '0.2649'} + 82%|████████████████████████▌ | 7363/9000 [6:20:15<1:07:00, 2.46s/it][Dataset] cur_step=7364 phase=D_mixed_covt +[Dataset] cur_step=7364 phase=D_mixed_covt +[Dataset] cur_step=7364 phase=D_mixed_covt +[Dataset] cur_step=7364 phase=D_mixed_covt[Dataset] cur_step=7364 phase=D_mixed_covt[Dataset] cur_step=7364 phase=D_mixed_covt + + +[Dataset] cur_step=7364 phase=D_mixed_covt + 82%|████████████████████████▌ | 7364/9000 [6:20:16<1:14:41, 2.74s/it][Dataset] cur_step=7364 phase=D_mixed_covt + {'loss': '3.306', 'grad_norm': '2.733', 'learning_rate': '4.383e-06', 'epoch': '0.2649'} + 82%|████████████████████████▌ | 7364/9000 [6:20:16<1:14:41, 2.74s/it] {'lm_loss': '0.985', 'visual_loss': '2.678', 'seg_loss': '0.708', 'dino_loss': '0.8987', 'depth_loss': '0.171', 'vggt_mse_loss': '0.1699', 'vggt_cos_loss': '0.01073', 'pidinet_loss': '0.1524', 'siglip_loss': '0.7484', 'epoch': '0.2649'} + 82%|████████████████████████▌ | 7364/9000 [6:20:19<1:14:41, 2.74s/it][Dataset] cur_step=7365 phase=D_mixed_covt + 82%|████████████████████████▌ | 7365/9000 [6:20:19<1:18:44, 2.89s/it][Dataset] cur_step=7365 phase=D_mixed_covt +[Dataset] cur_step=7365 phase=D_mixed_covt +[Dataset] cur_step=7365 phase=D_mixed_covt +[Dataset] cur_step=7365 phase=D_mixed_covt +[Dataset] cur_step=7365 phase=D_mixed_covt[Dataset] cur_step=7365 phase=D_mixed_covt + +[Dataset] cur_step=7365 phase=D_mixed_covt + {'loss': '3.393', 'grad_norm': '2.12', 'learning_rate': '4.377e-06', 'epoch': '0.265'} + 82%|████████████████████████▌ | 7365/9000 [6:20:19<1:18:44, 2.89s/it] {'lm_loss': '1.014', 'visual_loss': '2.939', 'seg_loss': '0.7319', 'dino_loss': '0.8884', 'depth_loss': '0.2729', 'vggt_mse_loss': '0.2712', 'vggt_cos_loss': '0.0166', 'pidinet_loss': '0.2921', 'siglip_loss': '0.7534', 'epoch': '0.265'} + 82%|████████████████████████▌ | 7365/9000 [6:20:22<1:18:44, 2.89s/it][Dataset] cur_step=7366 phase=D_mixed_covt +[Dataset] cur_step=7366 phase=D_mixed_covt +[Dataset] cur_step=7366 phase=D_mixed_covt +[Dataset] cur_step=7366 phase=D_mixed_covt + 82%|████████████████████████▌ | 7366/9000 [6:20:25<1:41:44, 3.74s/it][Dataset] cur_step=7366 phase=D_mixed_covt +[Dataset] cur_step=7366 phase=D_mixed_covt +[Dataset] cur_step=7366 phase=D_mixed_covt +[Dataset] cur_step=7366 phase=D_mixed_covt + {'loss': '3.667', 'grad_norm': '2.513', 'learning_rate': '4.372e-06', 'epoch': '0.265'} + 82%|████████████████████████▌ | 7366/9000 [6:20:25<1:41:44, 3.74s/it] {'lm_loss': '0.6156', 'visual_loss': '2.877', 'seg_loss': '0.7816', 'dino_loss': '0.9274', 'depth_loss': '0.2053', 'vggt_mse_loss': '0.2036', 'vggt_cos_loss': '0.01686', 'pidinet_loss': '0.3173', 'siglip_loss': '0.6457', 'epoch': '0.265'} + 82%|████████████████████████▌ | 7366/9000 [6:20:27<1:41:44, 3.74s/it][Dataset] cur_step=7367 phase=D_mixed_covt[Dataset] cur_step=7367 phase=D_mixed_covt[Dataset] cur_step=7367 phase=D_mixed_covt[Dataset] cur_step=7367 phase=D_mixed_covt[Dataset] cur_step=7367 phase=D_mixed_covt + + + + + 82%|████████████████████████▌ | 7367/9000 [6:20:28<1:39:52, 3.67s/it][Dataset] cur_step=7367 phase=D_mixed_covt +[Dataset] cur_step=7367 phase=D_mixed_covt +[Dataset] cur_step=7367 phase=D_mixed_covt + {'loss': '3.277', 'grad_norm': '3.89', 'learning_rate': '4.367e-06', 'epoch': '0.265'} + 82%|████████████████████████▌ | 7367/9000 [6:20:28<1:39:52, 3.67s/it] {'lm_loss': '0.8523', 'visual_loss': '2.717', 'seg_loss': '0.8349', 'dino_loss': '0.9027', 'depth_loss': '0.2197', 'vggt_mse_loss': '0.2181', 'vggt_cos_loss': '0.01607', 'pidinet_loss': '0.1869', 'siglip_loss': '0.5724', 'epoch': '0.265'} + 82%|████████████████████████▌ | 7367/9000 [6:20:31<1:39:52, 3.67s/it][Dataset] cur_step=7368 phase=D_mixed_covt +[Dataset] cur_step=7368 phase=D_mixed_covt +[Dataset] cur_step=7368 phase=D_mixed_covt[Dataset] cur_step=7368 phase=D_mixed_covt + +[Dataset] cur_step=7368 phase=D_mixed_covt + 82%|████████████████████████▌ | 7368/9000 [6:20:32<1:37:12, 3.57s/it][Dataset] cur_step=7368 phase=D_mixed_covt +[Dataset] cur_step=7368 phase=D_mixed_covt +[Dataset] cur_step=7368 phase=D_mixed_covt + {'loss': '3.009', 'grad_norm': '3.442', 'learning_rate': '4.362e-06', 'epoch': '0.2651'} + 82%|████████████████████████▌ | 7368/9000 [6:20:32<1:37:12, 3.57s/it] {'lm_loss': '0.06645', 'visual_loss': '2.387', 'seg_loss': '0.5852', 'dino_loss': '0.8934', 'depth_loss': '0.2077', 'vggt_mse_loss': '0.2065', 'vggt_cos_loss': '0.01227', 'pidinet_loss': '0.2023', 'siglip_loss': '0.4986', 'epoch': '0.2651'} + 82%|████████████████████████▌ | 7368/9000 [6:20:35<1:37:12, 3.57s/it][Dataset] cur_step=7369 phase=D_mixed_covt +[Dataset] cur_step=7369 phase=D_mixed_covt +[Dataset] cur_step=7369 phase=D_mixed_covt +[Dataset] cur_step=7369 phase=D_mixed_covt[Dataset] cur_step=7369 phase=D_mixed_covt + +[Dataset] cur_step=7369 phase=D_mixed_covt + 82%|████████████████████████▌ | 7369/9000 [6:20:35<1:34:04, 3.46s/it][Dataset] cur_step=7369 phase=D_mixed_covt +[Dataset] cur_step=7369 phase=D_mixed_covt + {'loss': '3.137', 'grad_norm': '2.66', 'learning_rate': '4.357e-06', 'epoch': '0.2651'} + 82%|████████████████████████▌ | 7369/9000 [6:20:35<1:34:04, 3.46s/it] {'lm_loss': '0.3559', 'visual_loss': '2.839', 'seg_loss': '0.6553', 'dino_loss': '0.8623', 'depth_loss': '0.2261', 'vggt_mse_loss': '0.2245', 'vggt_cos_loss': '0.01564', 'pidinet_loss': '0.3003', 'siglip_loss': '0.7954', 'epoch': '0.2651'} + 82%|████████████████████████▌ | 7369/9000 [6:20:38<1:34:04, 3.46s/it][Dataset] cur_step=7370 phase=D_mixed_covt +[Dataset] cur_step=7370 phase=D_mixed_covt +[Dataset] cur_step=7370 phase=D_mixed_covt +[Dataset] cur_step=7370 phase=D_mixed_covt + 82%|████████████████████████▌ | 7370/9000 [6:20:38<1:33:44, 3.45s/it][Dataset] cur_step=7370 phase=D_mixed_covt[Dataset] cur_step=7370 phase=D_mixed_covt + +[Dataset] cur_step=7370 phase=D_mixed_covt +[Dataset] cur_step=7370 phase=D_mixed_covt + {'loss': '3.278', 'grad_norm': '2.678', 'learning_rate': '4.351e-06', 'epoch': '0.2651'} + 82%|████████████████████████▌ | 7370/9000 [6:20:38<1:33:44, 3.45s/it] {'lm_loss': '0.2033', 'visual_loss': '2.798', 'seg_loss': '0.8449', 'dino_loss': '0.957', 'depth_loss': '0.2547', 'vggt_mse_loss': '0.2528', 'vggt_cos_loss': '0.01918', 'pidinet_loss': '0.2711', 'siglip_loss': '0.4704', 'epoch': '0.2651'} + 82%|████████████████████████▌ | 7370/9000 [6:20:41<1:33:44, 3.45s/it][Dataset] cur_step=7371 phase=D_mixed_covt +[Dataset] cur_step=7371 phase=D_mixed_covt +[Dataset] cur_step=7371 phase=D_mixed_covt + 82%|████████████████████████▌ | 7371/9000 [6:20:44<1:52:31, 4.14s/it][Dataset] cur_step=7371 phase=D_mixed_covt +[Dataset] cur_step=7371 phase=D_mixed_covt +[Dataset] cur_step=7371 phase=D_mixed_covt +[Dataset] cur_step=7371 phase=D_mixed_covt +[Dataset] cur_step=7371 phase=D_mixed_covt + {'loss': '2.891', 'grad_norm': '3.106', 'learning_rate': '4.346e-06', 'epoch': '0.2652'} + 82%|████████████████████████▌ | 7371/9000 [6:20:44<1:52:31, 4.14s/it] {'lm_loss': '0.681', 'visual_loss': '2.882', 'seg_loss': '1.001', 'dino_loss': '0.8704', 'depth_loss': '0.1468', 'vggt_mse_loss': '0.1458', 'vggt_cos_loss': '0.009691', 'pidinet_loss': '0.3158', 'siglip_loss': '0.5484', 'epoch': '0.2652'} + 82%|████████████████████████▌ | 7371/9000 [6:20:46<1:52:31, 4.14s/it][Dataset] cur_step=7372 phase=D_mixed_covt[Dataset] cur_step=7372 phase=D_mixed_covt + +[Dataset] cur_step=7372 phase=D_mixed_covt + 82%|████████████████████████▌ | 7372/9000 [6:20:46<1:34:21, 3.48s/it][Dataset] cur_step=7372 phase=D_mixed_covt[Dataset] cur_step=7372 phase=D_mixed_covt[Dataset] cur_step=7372 phase=D_mixed_covt + + +[Dataset] cur_step=7372 phase=D_mixed_covt +[Dataset] cur_step=7372 phase=D_mixed_covt + {'loss': '3.247', 'grad_norm': '175.7', 'learning_rate': '4.341e-06', 'epoch': '0.2652'} + 82%|████████████████████████▌ | 7372/9000 [6:20:46<1:34:21, 3.48s/it] {'lm_loss': '0.08291', 'visual_loss': '2.526', 'seg_loss': '0.6813', 'dino_loss': '0.9319', 'depth_loss': '0.2291', 'vggt_mse_loss': '0.2277', 'vggt_cos_loss': '0.01363', 'pidinet_loss': '0.2266', 'siglip_loss': '0.4572', 'epoch': '0.2652'} + 82%|████████████████████████▌ | 7372/9000 [6:20:48<1:34:21, 3.48s/it][Dataset] cur_step=7373 phase=D_mixed_covt +[Dataset] cur_step=7373 phase=D_mixed_covt +[Dataset] cur_step=7373 phase=D_mixed_covt +[Dataset] cur_step=7373 phase=D_mixed_covt 82%|████████████████████████▌ | 7373/9000 [6:20:49<1:26:06, 3.18s/it][Dataset] cur_step=7373 phase=D_mixed_covt +[Dataset] cur_step=7373 phase=D_mixed_covt + +[Dataset] cur_step=7373 phase=D_mixed_covt +[Dataset] cur_step=7373 phase=D_mixed_covt + {'loss': '3.132', 'grad_norm': '2.823', 'learning_rate': '4.336e-06', 'epoch': '0.2652'} + 82%|████████████████████████▌ | 7373/9000 [6:20:49<1:26:06, 3.18s/it] {'lm_loss': '0.6693', 'visual_loss': '2.56', 'seg_loss': '0.6584', 'dino_loss': '0.9422', 'depth_loss': '0.2519', 'vggt_mse_loss': '0.2502', 'vggt_cos_loss': '0.01784', 'pidinet_loss': '0.2364', 'siglip_loss': '0.4714', 'epoch': '0.2652'} + 82%|████████████████████████▌ | 7373/9000 [6:20:50<1:26:06, 3.18s/it][Dataset] cur_step=7374 phase=D_mixed_covt +[Dataset] cur_step=7374 phase=D_mixed_covt + 82%|████████████████████████▌ | 7374/9000 [6:20:50<1:15:07, 2.77s/it][Dataset] cur_step=7374 phase=D_mixed_covt[Dataset] cur_step=7374 phase=D_mixed_covt + +[Dataset] cur_step=7374 phase=D_mixed_covt[Dataset] cur_step=7374 phase=D_mixed_covt + +[Dataset] cur_step=7374 phase=D_mixed_covt +[Dataset] cur_step=7374 phase=D_mixed_covt + {'loss': '3.205', 'grad_norm': '3.189', 'learning_rate': '4.331e-06', 'epoch': '0.2653'} + 82%|████████████████████████▌ | 7374/9000 [6:20:50<1:15:07, 2.77s/it] {'lm_loss': '0.6886', 'visual_loss': '3.112', 'seg_loss': '0.5591', 'dino_loss': '0.9064', 'depth_loss': '0.2751', 'vggt_mse_loss': '0.2727', 'vggt_cos_loss': '0.02392', 'pidinet_loss': '0.3242', 'siglip_loss': '1.048', 'epoch': '0.2653'} + 82%|████████████████████████▌ | 7374/9000 [6:20:53<1:15:07, 2.77s/it][Dataset] cur_step=7375 phase=D_mixed_covt +[Dataset] cur_step=7375 phase=D_mixed_covt +[Dataset] cur_step=7375 phase=D_mixed_covt +[Dataset] cur_step=7375 phase=D_mixed_covt +[Dataset] cur_step=7375 phase=D_mixed_covt + 82%|████████████████████████▌ | 7375/9000 [6:20:54<1:23:03, 3.07s/it][Dataset] cur_step=7375 phase=D_mixed_covt +[Dataset] cur_step=7375 phase=D_mixed_covt +[Dataset] cur_step=7375 phase=D_mixed_covt + {'loss': '3.169', 'grad_norm': '2.715', 'learning_rate': '4.326e-06', 'epoch': '0.2653'} + 82%|████████████████████████▌ | 7375/9000 [6:20:54<1:23:03, 3.07s/it] {'lm_loss': '0.7462', 'visual_loss': '2.648', 'seg_loss': '0.6749', 'dino_loss': '0.8821', 'depth_loss': '0.2299', 'vggt_mse_loss': '0.2282', 'vggt_cos_loss': '0.01713', 'pidinet_loss': '0.1936', 'siglip_loss': '0.6672', 'epoch': '0.2653'} + 82%|████████████████████████▌ | 7375/9000 [6:20:57<1:23:03, 3.07s/it][Dataset] cur_step=7376 phase=D_mixed_covt +[Dataset] cur_step=7376 phase=D_mixed_covt +[Dataset] cur_step=7376 phase=D_mixed_covt +[Dataset] cur_step=7376 phase=D_mixed_covt + 82%|████████████████████████▌ | 7376/9000 [6:20:57<1:20:46, 2.98s/it][Dataset] cur_step=7376 phase=D_mixed_covt +[Dataset] cur_step=7376 phase=D_mixed_covt +[Dataset] cur_step=7376 phase=D_mixed_covt +[Dataset] cur_step=7376 phase=D_mixed_covt + {'loss': '3.305', 'grad_norm': '2.06', 'learning_rate': '4.32e-06', 'epoch': '0.2654'} + 82%|████████████████████████▌ | 7376/9000 [6:20:57<1:20:46, 2.98s/it] {'lm_loss': '0.4873', 'visual_loss': '2.29', 'seg_loss': '0.8329', 'dino_loss': '0.9322', 'depth_loss': '0.3352', 'vggt_mse_loss': '0.3328', 'vggt_cos_loss': '0.02466', 'pidinet_loss': '0.1901', 'siglip_loss': '0', 'epoch': '0.2654'} + 82%|████████████████████████▌ | 7376/9000 [6:20:59<1:20:46, 2.98s/it][Dataset] cur_step=7377 phase=D_mixed_covt +[Dataset] cur_step=7377 phase=D_mixed_covt +[Dataset] cur_step=7377 phase=D_mixed_covt +[Dataset] cur_step=7377 phase=D_mixed_covt[Dataset] cur_step=7377 phase=D_mixed_covt + +[Dataset] cur_step=7377 phase=D_mixed_covt +[Dataset] cur_step=7377 phase=D_mixed_covt[Dataset] cur_step=7377 phase=D_mixed_covt + + 82%|████████████████████████▌ | 7377/9000 [6:21:00<1:17:42, 2.87s/it] {'loss': '2.874', 'grad_norm': '2.659', 'learning_rate': '4.315e-06', 'epoch': '0.2654'} + 82%|████████████████████████▌ | 7377/9000 [6:21:00<1:17:42, 2.87s/it] {'lm_loss': '0.5617', 'visual_loss': '2.062', 'seg_loss': '0', 'dino_loss': '0.9268', 'depth_loss': '0.2191', 'vggt_mse_loss': '0.2175', 'vggt_cos_loss': '0.01585', 'pidinet_loss': '0.217', 'siglip_loss': '0.6993', 'epoch': '0.2654'} + 82%|████████████████████████▌ | 7377/9000 [6:21:00<1:17:42, 2.87s/it][Dataset] cur_step=7378 phase=D_mixed_covt[Dataset] cur_step=7378 phase=D_mixed_covt + +[Dataset] cur_step=7378 phase=D_mixed_covt +[Dataset] cur_step=7378 phase=D_mixed_covt[Dataset] cur_step=7378 phase=D_mixed_covt + 82%|████████████████████████▌ | 7378/9000 [6:21:01<1:03:26, 2.35s/it] +[Dataset] cur_step=7378 phase=D_mixed_covt +[Dataset] cur_step=7378 phase=D_mixed_covt +[Dataset] cur_step=7378 phase=D_mixed_covt + {'loss': '2.54', 'grad_norm': '2.834', 'learning_rate': '4.31e-06', 'epoch': '0.2654'} + 82%|████████████████████████▌ | 7378/9000 [6:21:01<1:03:26, 2.35s/it] {'lm_loss': '0.5869', 'visual_loss': '1.279', 'seg_loss': '0.7644', 'dino_loss': '0', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0', 'siglip_loss': '0.515', 'epoch': '0.2654'} + 82%|████████████████████████▌ | 7378/9000 [6:21:04<1:03:26, 2.35s/it][Dataset] cur_step=7379 phase=D_mixed_covt + 82%|████████████████████████▌ | 7379/9000 [6:21:04<1:12:28, 2.68s/it][Dataset] cur_step=7379 phase=D_mixed_covt +[Dataset] cur_step=7379 phase=D_mixed_covt +[Dataset] cur_step=7379 phase=D_mixed_covt +[Dataset] cur_step=7379 phase=D_mixed_covt +[Dataset] cur_step=7379 phase=D_mixed_covt[Dataset] cur_step=7379 phase=D_mixed_covt + +[Dataset] cur_step=7379 phase=D_mixed_covt + {'loss': '2.112', 'grad_norm': '3.815', 'learning_rate': '4.305e-06', 'epoch': '0.2655'} + 82%|████████████████████████▌ | 7379/9000 [6:21:04<1:12:28, 2.68s/it] {'lm_loss': '0.9891', 'visual_loss': '2.232', 'seg_loss': '0', 'dino_loss': '0.9969', 'depth_loss': '0.1904', 'vggt_mse_loss': '0.1892', 'vggt_cos_loss': '0.01234', 'pidinet_loss': '0.1667', 'siglip_loss': '0.8775', 'epoch': '0.2655'} + 82%|████████████████████████▌ | 7379/9000 [6:21:05<1:12:28, 2.68s/it][Dataset] cur_step=7380 phase=D_mixed_covt +[Dataset] cur_step=7380 phase=D_mixed_covt[Dataset] cur_step=7380 phase=D_mixed_covt + +[Dataset] cur_step=7380 phase=D_mixed_covt[Dataset] cur_step=7380 phase=D_mixed_covt[Dataset] cur_step=7380 phase=D_mixed_covt + + + 82%|████████████████████████▌ | 7380/9000 [6:21:05<1:00:31, 2.24s/it][Dataset] cur_step=7380 phase=D_mixed_covt +[Dataset] cur_step=7380 phase=D_mixed_covt + {'loss': '2.721', 'grad_norm': '11.41', 'learning_rate': '4.3e-06', 'epoch': '0.2655'} + 82%|████████████████████████▌ | 7380/9000 [6:21:05<1:00:31, 2.24s/it] {'lm_loss': '0.5416', 'visual_loss': '2.468', 'seg_loss': '0.7281', 'dino_loss': '0.8522', 'depth_loss': '0.183', 'vggt_mse_loss': '0.182', 'vggt_cos_loss': '0.01065', 'pidinet_loss': '0.1888', 'siglip_loss': '0.5161', 'epoch': '0.2655'} + 82%|████████████████████████▌ | 7380/9000 [6:21:08<1:00:31, 2.24s/it][Dataset] cur_step=7381 phase=D_mixed_covt +[Dataset] cur_step=7381 phase=D_mixed_covt[Dataset] cur_step=7381 phase=D_mixed_covt[Dataset] cur_step=7381 phase=D_mixed_covt + + +[Dataset] cur_step=7381 phase=D_mixed_covt + 82%|████████████████████████▌ | 7381/9000 [6:21:09<1:10:44, 2.62s/it][Dataset] cur_step=7381 phase=D_mixed_covt +[Dataset] cur_step=7381 phase=D_mixed_covt +[Dataset] cur_step=7381 phase=D_mixed_covt + {'loss': '2.969', 'grad_norm': '4.55', 'learning_rate': '4.295e-06', 'epoch': '0.2655'} + 82%|████████████████████████▌ | 7381/9000 [6:21:09<1:10:44, 2.62s/it] {'lm_loss': '0.9382', 'visual_loss': '2.621', 'seg_loss': '0.7871', 'dino_loss': '0.951', 'depth_loss': '0.2342', 'vggt_mse_loss': '0.2325', 'vggt_cos_loss': '0.01667', 'pidinet_loss': '0.2801', 'siglip_loss': '0.3687', 'epoch': '0.2655'} + 82%|████████████████████████▌ | 7381/9000 [6:21:11<1:10:44, 2.62s/it][Dataset] cur_step=7382 phase=D_mixed_covt +[Dataset] cur_step=7382 phase=D_mixed_covt[Dataset] cur_step=7382 phase=D_mixed_covt + +[Dataset] cur_step=7382 phase=D_mixed_covt +[Dataset] cur_step=7382 phase=D_mixed_covt + 82%|████████████████████████▌ | 7382/9000 [6:21:12<1:15:20, 2.79s/it][Dataset] cur_step=7382 phase=D_mixed_covt +[Dataset] cur_step=7382 phase=D_mixed_covt[Dataset] cur_step=7382 phase=D_mixed_covt + + {'loss': '3.37', 'grad_norm': '5.021', 'learning_rate': '4.289e-06', 'epoch': '0.2656'} + 82%|████████████████████████▌ | 7382/9000 [6:21:12<1:15:20, 2.79s/it] {'lm_loss': '0.6466', 'visual_loss': '2.88', 'seg_loss': '0.6662', 'dino_loss': '0.9619', 'depth_loss': '0.343', 'vggt_mse_loss': '0.3393', 'vggt_cos_loss': '0.03688', 'pidinet_loss': '0.2661', 'siglip_loss': '0.6427', 'epoch': '0.2656'} + 82%|████████████████████████▌ | 7382/9000 [6:21:14<1:15:20, 2.79s/it][Dataset] cur_step=7383 phase=D_mixed_covt + 82%|████████████████████████▌ | 7383/9000 [6:21:15<1:14:39, 2.77s/it][Dataset] cur_step=7383 phase=D_mixed_covt +[Dataset] cur_step=7383 phase=D_mixed_covt +[Dataset] cur_step=7383 phase=D_mixed_covt +[Dataset] cur_step=7383 phase=D_mixed_covt +[Dataset] cur_step=7383 phase=D_mixed_covt[Dataset] cur_step=7383 phase=D_mixed_covt + +[Dataset] cur_step=7383 phase=D_mixed_covt + {'loss': '3.487', 'grad_norm': '15.25', 'learning_rate': '4.284e-06', 'epoch': '0.2656'} + 82%|████████████████████████▌ | 7383/9000 [6:21:15<1:14:39, 2.77s/it] {'lm_loss': '1.049', 'visual_loss': '2.82', 'seg_loss': '0.8731', 'dino_loss': '0.8638', 'depth_loss': '0.2587', 'vggt_mse_loss': '0.2567', 'vggt_cos_loss': '0.01943', 'pidinet_loss': '0.2238', 'siglip_loss': '0.6004', 'epoch': '0.2656'} + 82%|████████████████████████▌ | 7383/9000 [6:21:17<1:14:39, 2.77s/it][Dataset] cur_step=7384 phase=D_mixed_covt +[Dataset] cur_step=7384 phase=D_mixed_covt +[Dataset] cur_step=7384 phase=D_mixed_covt[Dataset] cur_step=7384 phase=D_mixed_covt + +[Dataset] cur_step=7384 phase=D_mixed_covt[Dataset] cur_step=7384 phase=D_mixed_covt[Dataset] cur_step=7384 phase=D_mixed_covt[Dataset] cur_step=7384 phase=D_mixed_covt + + + + 82%|████████████████████████▌ | 7384/9000 [6:21:18<1:14:56, 2.78s/it] {'loss': '3.574', 'grad_norm': '2.725', 'learning_rate': '4.279e-06', 'epoch': '0.2656'} + 82%|████████████████████████▌ | 7384/9000 [6:21:18<1:14:56, 2.78s/it] {'lm_loss': '0.2911', 'visual_loss': '2.74', 'seg_loss': '0.6685', 'dino_loss': '0.8816', 'depth_loss': '0.2283', 'vggt_mse_loss': '0.2269', 'vggt_cos_loss': '0.01385', 'pidinet_loss': '0.312', 'siglip_loss': '0.6497', 'epoch': '0.2656'} + 82%|████████████████████████▌ | 7384/9000 [6:21:21<1:14:56, 2.78s/it][Dataset] cur_step=7385 phase=D_mixed_covt +[Dataset] cur_step=7385 phase=D_mixed_covt[Dataset] cur_step=7385 phase=D_mixed_covt + +[Dataset] cur_step=7385 phase=D_mixed_covt +[Dataset] cur_step=7385 phase=D_mixed_covt + 82%|████████████████████████▌ | 7385/9000 [6:21:22<1:25:01, 3.16s/it][Dataset] cur_step=7385 phase=D_mixed_covt +[Dataset] cur_step=7385 phase=D_mixed_covt +[Dataset] cur_step=7385 phase=D_mixed_covt + {'loss': '3.424', 'grad_norm': '2.31', 'learning_rate': '4.274e-06', 'epoch': '0.2657'} + 82%|████████████████████████▌ | 7385/9000 [6:21:22<1:25:01, 3.16s/it] {'lm_loss': '0.5521', 'visual_loss': '2.737', 'seg_loss': '0.6988', 'dino_loss': '0.9271', 'depth_loss': '0.334', 'vggt_mse_loss': '0.331', 'vggt_cos_loss': '0.02981', 'pidinet_loss': '0.2459', 'siglip_loss': '0.5315', 'epoch': '0.2657'} + 82%|████████████████████████▌ | 7385/9000 [6:21:27<1:25:01, 3.16s/it][Dataset] cur_step=7386 phase=D_mixed_covt + 82%|████████████████████████▌ | 7386/9000 [6:21:27<1:43:08, 3.83s/it][Dataset] cur_step=7386 phase=D_mixed_covt +[Dataset] cur_step=7386 phase=D_mixed_covt +[Dataset] cur_step=7386 phase=D_mixed_covt +[Dataset] cur_step=7386 phase=D_mixed_covt +[Dataset] cur_step=7386 phase=D_mixed_covt +[Dataset] cur_step=7386 phase=D_mixed_covt +[Dataset] cur_step=7386 phase=D_mixed_covt + {'loss': '3.243', 'grad_norm': '3.486', 'learning_rate': '4.269e-06', 'epoch': '0.2657'} + 82%|████████████████████████▌ | 7386/9000 [6:21:27<1:43:08, 3.83s/it] {'lm_loss': '0.6379', 'visual_loss': '2.73', 'seg_loss': '0.7159', 'dino_loss': '0.919', 'depth_loss': '0.3339', 'vggt_mse_loss': '0.3314', 'vggt_cos_loss': '0.02532', 'pidinet_loss': '0.2387', 'siglip_loss': '0.5226', 'epoch': '0.2657'} + 82%|████████████████████████▌ | 7386/9000 [6:21:28<1:43:08, 3.83s/it][Dataset] cur_step=7387 phase=D_mixed_covt +[Dataset] cur_step=7387 phase=D_mixed_covt[Dataset] cur_step=7387 phase=D_mixed_covt + +[Dataset] cur_step=7387 phase=D_mixed_covt 82%|████████████████████████▌ | 7387/9000 [6:21:29<1:26:15, 3.21s/it] +[Dataset] cur_step=7387 phase=D_mixed_covt +[Dataset] cur_step=7387 phase=D_mixed_covt +[Dataset] cur_step=7387 phase=D_mixed_covt +[Dataset] cur_step=7387 phase=D_mixed_covt + {'loss': '3.3', 'grad_norm': '6.93', 'learning_rate': '4.264e-06', 'epoch': '0.2657'} + 82%|████████████████████████▌ | 7387/9000 [6:21:29<1:26:15, 3.21s/it] {'lm_loss': '0.8164', 'visual_loss': '2.81', 'seg_loss': '0.6723', 'dino_loss': '0.8992', 'depth_loss': '0.2574', 'vggt_mse_loss': '0.2556', 'vggt_cos_loss': '0.01804', 'pidinet_loss': '0.1842', 'siglip_loss': '0.7971', 'epoch': '0.2657'} + 82%|████████████████████████▌ | 7387/9000 [6:21:31<1:26:15, 3.21s/it][Dataset] cur_step=7388 phase=D_mixed_covt +[Dataset] cur_step=7388 phase=D_mixed_covt +[Dataset] cur_step=7388 phase=D_mixed_covt[Dataset] cur_step=7388 phase=D_mixed_covt +[Dataset] cur_step=7388 phase=D_mixed_covt + +[Dataset] cur_step=7388 phase=D_mixed_covt +[Dataset] cur_step=7388 phase=D_mixed_covt +[Dataset] cur_step=7388 phase=D_mixed_covt + 82%|████████████████████████▋ | 7388/9000 [6:21:31<1:19:58, 2.98s/it] {'loss': '3.045', 'grad_norm': '2.42', 'learning_rate': '4.259e-06', 'epoch': '0.2658'} + 82%|████████████████████████▋ | 7388/9000 [6:21:31<1:19:58, 2.98s/it] {'lm_loss': '0.06333', 'visual_loss': '2.81', 'seg_loss': '0.7938', 'dino_loss': '0.9095', 'depth_loss': '0.2756', 'vggt_mse_loss': '0.2737', 'vggt_cos_loss': '0.01839', 'pidinet_loss': '0.2421', 'siglip_loss': '0.5888', 'epoch': '0.2658'} + 82%|████████████████████████▋ | 7388/9000 [6:21:34<1:19:58, 2.98s/it][Dataset] cur_step=7389 phase=D_mixed_covt +[Dataset] cur_step=7389 phase=D_mixed_covt +[Dataset] cur_step=7389 phase=D_mixed_covt[Dataset] cur_step=7389 phase=D_mixed_covt + +[Dataset] cur_step=7389 phase=D_mixed_covt + 82%|████████████████████████▋ | 7389/9000 [6:21:35<1:27:26, 3.26s/it][Dataset] cur_step=7389 phase=D_mixed_covt +[Dataset] cur_step=7389 phase=D_mixed_covt +[Dataset] cur_step=7389 phase=D_mixed_covt + {'loss': '2.958', 'grad_norm': '2.52', 'learning_rate': '4.254e-06', 'epoch': '0.2658'} + 82%|████████████████████████▋ | 7389/9000 [6:21:35<1:27:26, 3.26s/it] {'lm_loss': '0.6245', 'visual_loss': '2.424', 'seg_loss': '0.7283', 'dino_loss': '0.9337', 'depth_loss': '0.2179', 'vggt_mse_loss': '0.2165', 'vggt_cos_loss': '0.01349', 'pidinet_loss': '0.2393', 'siglip_loss': '0.3043', 'epoch': '0.2658'} + 82%|████████████████████████▋ | 7389/9000 [6:21:37<1:27:26, 3.26s/it][Dataset] cur_step=7390 phase=D_mixed_covt[Dataset] cur_step=7390 phase=D_mixed_covt + +[Dataset] cur_step=7390 phase=D_mixed_covt 82%|████████████████████████▋ | 7390/9000 [6:21:37<1:20:13, 2.99s/it] +[Dataset] cur_step=7390 phase=D_mixed_covt +[Dataset] cur_step=7390 phase=D_mixed_covt +[Dataset] cur_step=7390 phase=D_mixed_covt +[Dataset] cur_step=7390 phase=D_mixed_covt +[Dataset] cur_step=7390 phase=D_mixed_covt + {'loss': '3.328', 'grad_norm': '3.845', 'learning_rate': '4.248e-06', 'epoch': '0.2659'} + 82%|████████████████████████▋ | 7390/9000 [6:21:38<1:20:13, 2.99s/it] {'lm_loss': '1.006', 'visual_loss': '1.536', 'seg_loss': '0.9591', 'dino_loss': '0', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0', 'siglip_loss': '0.5768', 'epoch': '0.2659'} + 82%|████████████████████████▋ | 7390/9000 [6:21:38<1:20:13, 2.99s/it][Dataset] cur_step=7391 phase=D_mixed_covt +[Dataset] cur_step=7391 phase=D_mixed_covt +[Dataset] cur_step=7391 phase=D_mixed_covt[Dataset] cur_step=7391 phase=D_mixed_covt + +[Dataset] cur_step=7391 phase=D_mixed_covt[Dataset] cur_step=7391 phase=D_mixed_covt + + 82%|████████████████████████▋ | 7391/9000 [6:21:39<1:09:08, 2.58s/it][Dataset] cur_step=7391 phase=D_mixed_covt[Dataset] cur_step=7391 phase=D_mixed_covt + + {'loss': '2.342', 'grad_norm': '3.83', 'learning_rate': '4.243e-06', 'epoch': '0.2659'} + 82%|████████████████████████▋ | 7391/9000 [6:21:39<1:09:08, 2.58s/it] {'lm_loss': '0.4025', 'visual_loss': '2.837', 'seg_loss': '0.8284', 'dino_loss': '0.8904', 'depth_loss': '0.1625', 'vggt_mse_loss': '0.1616', 'vggt_cos_loss': '0.009059', 'pidinet_loss': '0.1847', 'siglip_loss': '0.7708', 'epoch': '0.2659'} + 82%|████████████████████████▋ | 7391/9000 [6:21:41<1:09:08, 2.58s/it][Dataset] cur_step=7392 phase=D_mixed_covt +[Dataset] cur_step=7392 phase=D_mixed_covt +[Dataset] cur_step=7392 phase=D_mixed_covt +[Dataset] cur_step=7392 phase=D_mixed_covt +[Dataset] cur_step=7392 phase=D_mixed_covt +[Dataset] cur_step=7392 phase=D_mixed_covt 82%|████████████████████████▋ | 7392/9000 [6:21:43<1:17:15, 2.88s/it] +[Dataset] cur_step=7392 phase=D_mixed_covt +[Dataset] cur_step=7392 phase=D_mixed_covt + {'loss': '3.224', 'grad_norm': '4.349', 'learning_rate': '4.238e-06', 'epoch': '0.2659'} + 82%|████████████████████████▋ | 7392/9000 [6:21:43<1:17:15, 2.88s/it] {'lm_loss': '1.149', 'visual_loss': '2.708', 'seg_loss': '0.8345', 'dino_loss': '0.9022', 'depth_loss': '0.1622', 'vggt_mse_loss': '0.1611', 'vggt_cos_loss': '0.0111', 'pidinet_loss': '0.2671', 'siglip_loss': '0.5422', 'epoch': '0.2659'} + 82%|████████████████████████▋ | 7392/9000 [6:21:45<1:17:15, 2.88s/it][Dataset] cur_step=7393 phase=D_mixed_covt +[Dataset] cur_step=7393 phase=D_mixed_covt +[Dataset] cur_step=7393 phase=D_mixed_covt[Dataset] cur_step=7393 phase=D_mixed_covt + + 82%|████████████████████████▋ | 7393/9000 [6:21:46<1:21:12, 3.03s/it][Dataset] cur_step=7393 phase=D_mixed_covt +[Dataset] cur_step=7393 phase=D_mixed_covt[Dataset] cur_step=7393 phase=D_mixed_covt + +[Dataset] cur_step=7393 phase=D_mixed_covt + {'loss': '3.264', 'grad_norm': '2.189', 'learning_rate': '4.233e-06', 'epoch': '0.266'} + 82%|████████████████████████▋ | 7393/9000 [6:21:46<1:21:12, 3.03s/it] {'lm_loss': '0.1314', 'visual_loss': '2.048', 'seg_loss': '0.5748', 'dino_loss': '0.9312', 'depth_loss': '0.2217', 'vggt_mse_loss': '0.2197', 'vggt_cos_loss': '0.01948', 'pidinet_loss': '0.3205', 'siglip_loss': '0', 'epoch': '0.266'} + 82%|████████████████████████▋ | 7393/9000 [6:21:48<1:21:12, 3.03s/it][Dataset] cur_step=7394 phase=D_mixed_covt +[Dataset] cur_step=7394 phase=D_mixed_covt +[Dataset] cur_step=7394 phase=D_mixed_covt +[Dataset] cur_step=7394 phase=D_mixed_covt +[Dataset] cur_step=7394 phase=D_mixed_covt 82%|████████████████████████▋ | 7394/9000 [6:21:48<1:12:51, 2.72s/it][Dataset] cur_step=7394 phase=D_mixed_covt + +[Dataset] cur_step=7394 phase=D_mixed_covt +[Dataset] cur_step=7394 phase=D_mixed_covt + {'loss': '2.676', 'grad_norm': '2.846', 'learning_rate': '4.228e-06', 'epoch': '0.266'} + 82%|████████████████████████▋ | 7394/9000 [6:21:48<1:12:51, 2.72s/it] {'lm_loss': '0.1605', 'visual_loss': '2.931', 'seg_loss': '0.8923', 'dino_loss': '0.9489', 'depth_loss': '0.2948', 'vggt_mse_loss': '0.2928', 'vggt_cos_loss': '0.02026', 'pidinet_loss': '0.2431', 'siglip_loss': '0.5517', 'epoch': '0.266'} + 82%|████████████████████████▋ | 7394/9000 [6:21:49<1:12:51, 2.72s/it][Dataset] cur_step=7395 phase=D_mixed_covt +[Dataset] cur_step=7395 phase=D_mixed_covt +[Dataset] cur_step=7395 phase=D_mixed_covt +[Dataset] cur_step=7395 phase=D_mixed_covt[Dataset] cur_step=7395 phase=D_mixed_covt + +[Dataset] cur_step=7395 phase=D_mixed_covt +[Dataset] cur_step=7395 phase=D_mixed_covt +[Dataset] cur_step=7395 phase=D_mixed_covt + 82%|████████████████████████▋ | 7395/9000 [6:21:50<1:05:26, 2.45s/it] {'loss': '3.246', 'grad_norm': '5.267', 'learning_rate': '4.223e-06', 'epoch': '0.266'} + 82%|████████████████████████▋ | 7395/9000 [6:21:50<1:05:26, 2.45s/it] {'lm_loss': '0.7968', 'visual_loss': '2.55', 'seg_loss': '0.6851', 'dino_loss': '0.904', 'depth_loss': '0.1012', 'vggt_mse_loss': '0.1005', 'vggt_cos_loss': '0.006565', 'pidinet_loss': '0.2335', 'siglip_loss': '0.6262', 'epoch': '0.266'} + 82%|████████████████████████▋ | 7395/9000 [6:21:53<1:05:26, 2.45s/it][Dataset] cur_step=7396 phase=D_mixed_covt[Dataset] cur_step=7396 phase=D_mixed_covt +[Dataset] cur_step=7396 phase=D_mixed_covt + +[Dataset] cur_step=7396 phase=D_mixed_covt +[Dataset] cur_step=7396 phase=D_mixed_covt +[Dataset] cur_step=7396 phase=D_mixed_covt[Dataset] cur_step=7396 phase=D_mixed_covt + + 82%|████████████████████████▋ | 7396/9000 [6:21:54<1:16:50, 2.87s/it][Dataset] cur_step=7396 phase=D_mixed_covt + {'loss': '3.26', 'grad_norm': '2.77', 'learning_rate': '4.218e-06', 'epoch': '0.2661'} + 82%|████████████████████████▋ | 7396/9000 [6:21:54<1:16:50, 2.87s/it] {'lm_loss': '0.9707', 'visual_loss': '2.499', 'seg_loss': '0.7281', 'dino_loss': '0.8958', 'depth_loss': '0.2414', 'vggt_mse_loss': '0.2403', 'vggt_cos_loss': '0.01097', 'pidinet_loss': '0.1563', 'siglip_loss': '0.4771', 'epoch': '0.2661'} + 82%|████████████████████████▋ | 7396/9000 [6:21:56<1:16:50, 2.87s/it][Dataset] cur_step=7397 phase=D_mixed_covt +[Dataset] cur_step=7397 phase=D_mixed_covt +[Dataset] cur_step=7397 phase=D_mixed_covt +[Dataset] cur_step=7397 phase=D_mixed_covt +[Dataset] cur_step=7397 phase=D_mixed_covt +[Dataset] cur_step=7397 phase=D_mixed_covt + 82%|████████████████████████▋ | 7397/9000 [6:21:57<1:21:35, 3.05s/it][Dataset] cur_step=7397 phase=D_mixed_covt[Dataset] cur_step=7397 phase=D_mixed_covt + + {'loss': '3.33', 'grad_norm': '4.462', 'learning_rate': '4.213e-06', 'epoch': '0.2661'} + 82%|████████████████████████▋ | 7397/9000 [6:21:57<1:21:35, 3.05s/it] {'lm_loss': '0.5408', 'visual_loss': '2.268', 'seg_loss': '0.5524', 'dino_loss': '0.8402', 'depth_loss': '0.2048', 'vggt_mse_loss': '0.2035', 'vggt_cos_loss': '0.01278', 'pidinet_loss': '0.05059', 'siglip_loss': '0.6197', 'epoch': '0.2661'} + 82%|████████████████████████▋ | 7397/9000 [6:21:59<1:21:35, 3.05s/it][Dataset] cur_step=7398 phase=D_mixed_covt[Dataset] cur_step=7398 phase=D_mixed_covt + +[Dataset] cur_step=7398 phase=D_mixed_covt + 82%|████████████████████████▋ | 7398/9000 [6:21:59<1:12:46, 2.73s/it][Dataset] cur_step=7398 phase=D_mixed_covt +[Dataset] cur_step=7398 phase=D_mixed_covt[Dataset] cur_step=7398 phase=D_mixed_covt + +[Dataset] cur_step=7398 phase=D_mixed_covt +[Dataset] cur_step=7398 phase=D_mixed_covt + {'loss': '3.204', 'grad_norm': '3.757', 'learning_rate': '4.208e-06', 'epoch': '0.2661'} + 82%|████████████████████████▋ | 7398/9000 [6:21:59<1:12:46, 2.73s/it] {'lm_loss': '0.5787', 'visual_loss': '2.45', 'seg_loss': '0.7721', 'dino_loss': '0.9076', 'depth_loss': '0.1754', 'vggt_mse_loss': '0.1743', 'vggt_cos_loss': '0.01102', 'pidinet_loss': '0.2124', 'siglip_loss': '0.3825', 'epoch': '0.2661'} + 82%|████████████████████████▋ | 7398/9000 [6:22:02<1:12:46, 2.73s/it][Dataset] cur_step=7399 phase=D_mixed_covt +[Dataset] cur_step=7399 phase=D_mixed_covt +[Dataset] cur_step=7399 phase=D_mixed_covt[Dataset] cur_step=7399 phase=D_mixed_covt + +[Dataset] cur_step=7399 phase=D_mixed_covt +[Dataset] cur_step=7399 phase=D_mixed_covt +[Dataset] cur_step=7399 phase=D_mixed_covt + 82%|████████████████████████▋ | 7399/9000 [6:22:02<1:16:56, 2.88s/it][Dataset] cur_step=7399 phase=D_mixed_covt + {'loss': '3.362', 'grad_norm': '2.532', 'learning_rate': '4.202e-06', 'epoch': '0.2662'} + 82%|████████████████████████▋ | 7399/9000 [6:22:02<1:16:56, 2.88s/it] {'lm_loss': '0.9053', 'visual_loss': '2.533', 'seg_loss': '0.6782', 'dino_loss': '0.9022', 'depth_loss': '0.3269', 'vggt_mse_loss': '0.3245', 'vggt_cos_loss': '0.02428', 'pidinet_loss': '0.2018', 'siglip_loss': '0.4237', 'epoch': '0.2662'} + 82%|████████████████████████▋ | 7399/9000 [6:22:04<1:16:56, 2.88s/it][Dataset] cur_step=7400 phase=D_mixed_covt[Dataset] cur_step=7400 phase=D_mixed_covt + +[Dataset] cur_step=7400 phase=D_mixed_covt[Dataset] cur_step=7400 phase=D_mixed_covt + +[Dataset] cur_step=7400 phase=D_mixed_covt +[Dataset] cur_step=7400 phase=D_mixed_covt +[Dataset] cur_step=7400 phase=D_mixed_covt 82%|████████████████████████▋ | 7400/9000 [6:22:04<1:09:26, 2.60s/it] +[Dataset] cur_step=7400 phase=D_mixed_covt + {'loss': '3.56', 'grad_norm': '5.297', 'learning_rate': '4.197e-06', 'epoch': '0.2662'} + 82%|████████████████████████▋ | 7400/9000 [6:22:04<1:09:26, 2.60s/it] {'lm_loss': '0.6042', 'visual_loss': '2.886', 'seg_loss': '0.9279', 'dino_loss': '0.9307', 'depth_loss': '0.2911', 'vggt_mse_loss': '0.2888', 'vggt_cos_loss': '0.02336', 'pidinet_loss': '0.2514', 'siglip_loss': '0.4848', 'epoch': '0.2662'} + 82%|████████████████████████▋ | 7400/9000 [6:22:06<1:09:26, 2.60s/it][Dataset] cur_step=7401 phase=D_mixed_covt +[Dataset] cur_step=7401 phase=D_mixed_covt +[Dataset] cur_step=7401 phase=D_mixed_covt +[Dataset] cur_step=7401 phase=D_mixed_covt +[Dataset] cur_step=7401 phase=D_mixed_covt[Dataset] cur_step=7401 phase=D_mixed_covt[Dataset] cur_step=7401 phase=D_mixed_covt + + + 82%|████████████████████████▋ | 7401/9000 [6:22:07<1:11:30, 2.68s/it][Dataset] cur_step=7401 phase=D_mixed_covt + {'loss': '3.438', 'grad_norm': '4.152', 'learning_rate': '4.192e-06', 'epoch': '0.2663'} + 82%|████████████████████████▋ | 7401/9000 [6:22:07<1:11:30, 2.68s/it] {'lm_loss': '1.048', 'visual_loss': '2.599', 'seg_loss': '0.7948', 'dino_loss': '0.8901', 'depth_loss': '0.252', 'vggt_mse_loss': '0.25', 'vggt_cos_loss': '0.01972', 'pidinet_loss': '0.2206', 'siglip_loss': '0.4414', 'epoch': '0.2663'} + 82%|████████████████████████▋ | 7401/9000 [6:22:10<1:11:30, 2.68s/it][Dataset] cur_step=7402 phase=D_mixed_covt +[Dataset] cur_step=7402 phase=D_mixed_covt +[Dataset] cur_step=7402 phase=D_mixed_covt +[Dataset] cur_step=7402 phase=D_mixed_covt +[Dataset] cur_step=7402 phase=D_mixed_covt[Dataset] cur_step=7402 phase=D_mixed_covt + + 82%|████████████████████████▋ | 7402/9000 [6:22:11<1:17:22, 2.91s/it][Dataset] cur_step=7402 phase=D_mixed_covt +[Dataset] cur_step=7402 phase=D_mixed_covt + {'loss': '3.283', 'grad_norm': '8.974', 'learning_rate': '4.187e-06', 'epoch': '0.2663'} + 82%|████████████████████████▋ | 7402/9000 [6:22:11<1:17:22, 2.91s/it] {'lm_loss': '0.1782', 'visual_loss': '2.154', 'seg_loss': '0.8384', 'dino_loss': '0.8659', 'depth_loss': '0.1745', 'vggt_mse_loss': '0.1739', 'vggt_cos_loss': '0.005606', 'pidinet_loss': '0', 'siglip_loss': '0.2756', 'epoch': '0.2663'} + 82%|████████████████████████▋ | 7402/9000 [6:22:12<1:17:22, 2.91s/it][Dataset] cur_step=7403 phase=D_mixed_covt +[Dataset] cur_step=7403 phase=D_mixed_covt +[Dataset] cur_step=7403 phase=D_mixed_covt +[Dataset] cur_step=7403 phase=D_mixed_covt +[Dataset] cur_step=7403 phase=D_mixed_covt[Dataset] cur_step=7403 phase=D_mixed_covt +[Dataset] cur_step=7403 phase=D_mixed_covt + + 82%|████████████████████████▋ | 7403/9000 [6:22:12<1:08:08, 2.56s/it][Dataset] cur_step=7403 phase=D_mixed_covt + {'loss': '2.713', 'grad_norm': '6.464', 'learning_rate': '4.182e-06', 'epoch': '0.2663'} + 82%|████████████████████████▋ | 7403/9000 [6:22:12<1:08:08, 2.56s/it] {'lm_loss': '1.067', 'visual_loss': '2.648', 'seg_loss': '0.7286', 'dino_loss': '0.8928', 'depth_loss': '0.2055', 'vggt_mse_loss': '0.2046', 'vggt_cos_loss': '0.009244', 'pidinet_loss': '0.2844', 'siglip_loss': '0.5363', 'epoch': '0.2663'} + 82%|████████████████████████▋ | 7403/9000 [6:22:15<1:08:08, 2.56s/it][Dataset] cur_step=7404 phase=D_mixed_covt +[Dataset] cur_step=7404 phase=D_mixed_covt[Dataset] cur_step=7404 phase=D_mixed_covt +[Dataset] cur_step=7404 phase=D_mixed_covt + + 82%|████████████████████████▋ | 7404/9000 [6:22:15<1:11:56, 2.70s/it][Dataset] cur_step=7404 phase=D_mixed_covt +[Dataset] cur_step=7404 phase=D_mixed_covt +[Dataset] cur_step=7404 phase=D_mixed_covt[Dataset] cur_step=7404 phase=D_mixed_covt + + {'loss': '3.265', 'grad_norm': '3.252', 'learning_rate': '4.177e-06', 'epoch': '0.2664'} + 82%|████████████████████████▋ | 7404/9000 [6:22:15<1:11:56, 2.70s/it] {'lm_loss': '0.4645', 'visual_loss': '3.054', 'seg_loss': '0.2976', 'dino_loss': '0.899', 'depth_loss': '0.2592', 'vggt_mse_loss': '0.2571', 'vggt_cos_loss': '0.02051', 'pidinet_loss': '0.328', 'siglip_loss': '1.27', 'epoch': '0.2664'} + 82%|████████████████████████▋ | 7404/9000 [6:22:17<1:11:56, 2.70s/it][Dataset] cur_step=7405 phase=D_mixed_covt +[Dataset] cur_step=7405 phase=D_mixed_covt +[Dataset] cur_step=7405 phase=D_mixed_covt[Dataset] cur_step=7405 phase=D_mixed_covt +[Dataset] cur_step=7405 phase=D_mixed_covt + + 82%|████████████████████████▋ | 7405/9000 [6:22:17<1:05:44, 2.47s/it][Dataset] cur_step=7405 phase=D_mixed_covt +[Dataset] cur_step=7405 phase=D_mixed_covt +[Dataset] cur_step=7405 phase=D_mixed_covt + {'loss': '2.93', 'grad_norm': '3.878', 'learning_rate': '4.172e-06', 'epoch': '0.2664'} + 82%|████████████████████████▋ | 7405/9000 [6:22:17<1:05:44, 2.47s/it] {'lm_loss': '0.5934', 'visual_loss': '2.519', 'seg_loss': '0.6524', 'dino_loss': '0.926', 'depth_loss': '0.2054', 'vggt_mse_loss': '0.2038', 'vggt_cos_loss': '0.01597', 'pidinet_loss': '0.259', 'siglip_loss': '0.4766', 'epoch': '0.2664'} + 82%|████████████████████████▋ | 7405/9000 [6:22:19<1:05:44, 2.47s/it][Dataset] cur_step=7406 phase=D_mixed_covt +[Dataset] cur_step=7406 phase=D_mixed_covt + 82%|████████████████████████▋ | 7406/9000 [6:22:19<1:00:13, 2.27s/it][Dataset] cur_step=7406 phase=D_mixed_covt[Dataset] cur_step=7406 phase=D_mixed_covt + +[Dataset] cur_step=7406 phase=D_mixed_covt[Dataset] cur_step=7406 phase=D_mixed_covt + +[Dataset] cur_step=7406 phase=D_mixed_covt +[Dataset] cur_step=7406 phase=D_mixed_covt + {'loss': '3.163', 'grad_norm': '3.909', 'learning_rate': '4.167e-06', 'epoch': '0.2664'} + 82%|████████████████████████▋ | 7406/9000 [6:22:19<1:00:13, 2.27s/it] {'lm_loss': '0.7106', 'visual_loss': '2.543', 'seg_loss': '0.7447', 'dino_loss': '0.922', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.3292', 'siglip_loss': '0.547', 'epoch': '0.2664'} + 82%|████████████████████████▋ | 7406/9000 [6:22:22<1:00:13, 2.27s/it][Dataset] cur_step=7407 phase=D_mixed_covt +[Dataset] cur_step=7407 phase=D_mixed_covt +[Dataset] cur_step=7407 phase=D_mixed_covt +[Dataset] cur_step=7407 phase=D_mixed_covt[Dataset] cur_step=7407 phase=D_mixed_covt +[Dataset] cur_step=7407 phase=D_mixed_covt + +[Dataset] cur_step=7407 phase=D_mixed_covt 82%|████████████████████████▋ | 7407/9000 [6:22:23<1:10:58, 2.67s/it] +[Dataset] cur_step=7407 phase=D_mixed_covt + {'loss': '2.976', 'grad_norm': '2.55', 'learning_rate': '4.162e-06', 'epoch': '0.2665'} + 82%|████████████████████████▋ | 7407/9000 [6:22:23<1:10:58, 2.67s/it] {'lm_loss': '0.06599', 'visual_loss': '2.079', 'seg_loss': '0.5811', 'dino_loss': '0.8378', 'depth_loss': '0.2688', 'vggt_mse_loss': '0.2672', 'vggt_cos_loss': '0.01644', 'pidinet_loss': '0.1252', 'siglip_loss': '0.2657', 'epoch': '0.2665'} + 82%|████████████████████████▋ | 7407/9000 [6:22:25<1:10:58, 2.67s/it][Dataset] cur_step=7408 phase=D_mixed_covt +[Dataset] cur_step=7408 phase=D_mixed_covt +[Dataset] cur_step=7408 phase=D_mixed_covt +[Dataset] cur_step=7408 phase=D_mixed_covt 82%|████████████████████████▋ | 7408/9000 [6:22:26<1:11:37, 2.70s/it] +[Dataset] cur_step=7408 phase=D_mixed_covt +[Dataset] cur_step=7408 phase=D_mixed_covt +[Dataset] cur_step=7408 phase=D_mixed_covt +[Dataset] cur_step=7408 phase=D_mixed_covt + {'loss': '2.821', 'grad_norm': '3.171', 'learning_rate': '4.157e-06', 'epoch': '0.2665'} + 82%|████████████████████████▋ | 7408/9000 [6:22:26<1:11:37, 2.70s/it] {'lm_loss': '0.7175', 'visual_loss': '2.645', 'seg_loss': '0.6157', 'dino_loss': '0.9255', 'depth_loss': '0.255', 'vggt_mse_loss': '0.2528', 'vggt_cos_loss': '0.02255', 'pidinet_loss': '0.2382', 'siglip_loss': '0.6107', 'epoch': '0.2665'} + 82%|████████████████████████▋ | 7408/9000 [6:22:28<1:11:37, 2.70s/it][Dataset] cur_step=7409 phase=D_mixed_covt +[Dataset] cur_step=7409 phase=D_mixed_covt +[Dataset] cur_step=7409 phase=D_mixed_covt +[Dataset] cur_step=7409 phase=D_mixed_covt[Dataset] cur_step=7409 phase=D_mixed_covt +[Dataset] cur_step=7409 phase=D_mixed_covt + + 82%|████████████████████████▋ | 7409/9000 [6:22:29<1:15:49, 2.86s/it][Dataset] cur_step=7409 phase=D_mixed_covt +[Dataset] cur_step=7409 phase=D_mixed_covt + {'loss': '3.529', 'grad_norm': '15.37', 'learning_rate': '4.152e-06', 'epoch': '0.2665'} + 82%|████████████████████████▋ | 7409/9000 [6:22:29<1:15:49, 2.86s/it] {'lm_loss': '0.1796', 'visual_loss': '2.573', 'seg_loss': '0.7249', 'dino_loss': '0.9185', 'depth_loss': '0.2166', 'vggt_mse_loss': '0.2152', 'vggt_cos_loss': '0.01426', 'pidinet_loss': '0.2855', 'siglip_loss': '0.4272', 'epoch': '0.2665'} + 82%|████████████████████████▋ | 7409/9000 [6:22:32<1:15:49, 2.86s/it][Dataset] cur_step=7410 phase=D_mixed_covt +[Dataset] cur_step=7410 phase=D_mixed_covt +[Dataset] cur_step=7410 phase=D_mixed_covt[Dataset] cur_step=7410 phase=D_mixed_covt + +[Dataset] cur_step=7410 phase=D_mixed_covt +[Dataset] cur_step=7410 phase=D_mixed_covt[Dataset] cur_step=7410 phase=D_mixed_covt + +[Dataset] cur_step=7410 phase=D_mixed_covt + 82%|████████████████████████▋ | 7410/9000 [6:22:33<1:26:08, 3.25s/it] {'loss': '3.054', 'grad_norm': '6.863', 'learning_rate': '4.147e-06', 'epoch': '0.2666'} + 82%|████████████████████████▋ | 7410/9000 [6:22:33<1:26:08, 3.25s/it] {'lm_loss': '0.8956', 'visual_loss': '2.703', 'seg_loss': '0.7277', 'dino_loss': '0.9147', 'depth_loss': '0.1927', 'vggt_mse_loss': '0.1912', 'vggt_cos_loss': '0.01447', 'pidinet_loss': '0.2639', 'siglip_loss': '0.6037', 'epoch': '0.2666'} + 82%|████████████████████████▋ | 7410/9000 [6:22:34<1:26:08, 3.25s/it][Dataset] cur_step=7411 phase=D_mixed_covt[Dataset] cur_step=7411 phase=D_mixed_covt +[Dataset] cur_step=7411 phase=D_mixed_covt + +[Dataset] cur_step=7411 phase=D_mixed_covt[Dataset] cur_step=7411 phase=D_mixed_covt + +[Dataset] cur_step=7411 phase=D_mixed_covt +[Dataset] cur_step=7411 phase=D_mixed_covt +[Dataset] cur_step=7411 phase=D_mixed_covt + 82%|████████████████████████▋ | 7411/9000 [6:22:35<1:15:22, 2.85s/it] {'loss': '3.363', 'grad_norm': '3.58', 'learning_rate': '4.141e-06', 'epoch': '0.2666'} + 82%|████████████████████████▋ | 7411/9000 [6:22:35<1:15:22, 2.85s/it] {'lm_loss': '0.8225', 'visual_loss': '2.63', 'seg_loss': '0.7542', 'dino_loss': '0.8909', 'depth_loss': '0.297', 'vggt_mse_loss': '0.295', 'vggt_cos_loss': '0.02045', 'pidinet_loss': '0.1935', 'siglip_loss': '0.494', 'epoch': '0.2666'} + 82%|████████████████████████▋ | 7411/9000 [6:22:36<1:15:22, 2.85s/it][Dataset] cur_step=7412 phase=D_mixed_covt +[Dataset] cur_step=7412 phase=D_mixed_covt +[Dataset] cur_step=7412 phase=D_mixed_covt +[Dataset] cur_step=7412 phase=D_mixed_covt[Dataset] cur_step=7412 phase=D_mixed_covt + + 82%|████████████████████████▋ | 7412/9000 [6:22:37<1:07:50, 2.56s/it][Dataset] cur_step=7412 phase=D_mixed_covt +[Dataset] cur_step=7412 phase=D_mixed_covt +[Dataset] cur_step=7412 phase=D_mixed_covt + {'loss': '3.32', 'grad_norm': '4.308', 'learning_rate': '4.136e-06', 'epoch': '0.2666'} + 82%|████████████████████████▋ | 7412/9000 [6:22:37<1:07:50, 2.56s/it] {'lm_loss': '0.2306', 'visual_loss': '2.182', 'seg_loss': '0.6162', 'dino_loss': '0.885', 'depth_loss': '0.127', 'vggt_mse_loss': '0.1262', 'vggt_cos_loss': '0.00827', 'pidinet_loss': '0.08403', 'siglip_loss': '0.4699', 'epoch': '0.2666'} + 82%|████████████████████████▋ | 7412/9000 [6:22:40<1:07:50, 2.56s/it][Dataset] cur_step=7413 phase=D_mixed_covt +[Dataset] cur_step=7413 phase=D_mixed_covt +[Dataset] cur_step=7413 phase=D_mixed_covt +[Dataset] cur_step=7413 phase=D_mixed_covt[Dataset] cur_step=7413 phase=D_mixed_covt + + 82%|████████████████████████▋ | 7413/9000 [6:22:41<1:17:08, 2.92s/it][Dataset] cur_step=7413 phase=D_mixed_covt +[Dataset] cur_step=7413 phase=D_mixed_covt +[Dataset] cur_step=7413 phase=D_mixed_covt + {'loss': '2.78', 'grad_norm': '3.928', 'learning_rate': '4.131e-06', 'epoch': '0.2667'} + 82%|████████████████████████▋ | 7413/9000 [6:22:41<1:17:08, 2.92s/it] {'lm_loss': '0.7256', 'visual_loss': '2.948', 'seg_loss': '0.7548', 'dino_loss': '0.9597', 'depth_loss': '0.3799', 'vggt_mse_loss': '0.3766', 'vggt_cos_loss': '0.03249', 'pidinet_loss': '0.2336', 'siglip_loss': '0.6204', 'epoch': '0.2667'} + 82%|████████████████████████▋ | 7413/9000 [6:22:43<1:17:08, 2.92s/it][Dataset] cur_step=7414 phase=D_mixed_covt[Dataset] cur_step=7414 phase=D_mixed_covt + +[Dataset] cur_step=7414 phase=D_mixed_covt[Dataset] cur_step=7414 phase=D_mixed_covt +[Dataset] cur_step=7414 phase=D_mixed_covt + +[Dataset] cur_step=7414 phase=D_mixed_covt[Dataset] cur_step=7414 phase=D_mixed_covt + + 82%|████████████████████████▋ | 7414/9000 [6:22:43<1:15:38, 2.86s/it][Dataset] cur_step=7414 phase=D_mixed_covt + {'loss': '3.119', 'grad_norm': '9.204', 'learning_rate': '4.126e-06', 'epoch': '0.2667'} + 82%|████████████████████████▋ | 7414/9000 [6:22:43<1:15:38, 2.86s/it] {'lm_loss': '0.4362', 'visual_loss': '2.853', 'seg_loss': '0.7913', 'dino_loss': '0.8969', 'depth_loss': '0.2725', 'vggt_mse_loss': '0.2702', 'vggt_cos_loss': '0.02214', 'pidinet_loss': '0.2503', 'siglip_loss': '0.6416', 'epoch': '0.2667'} + 82%|████████████████████████▋ | 7414/9000 [6:22:46<1:15:38, 2.86s/it][Dataset] cur_step=7415 phase=D_mixed_covt +[Dataset] cur_step=7415 phase=D_mixed_covt[Dataset] cur_step=7415 phase=D_mixed_covt + +[Dataset] cur_step=7415 phase=D_mixed_covt[Dataset] cur_step=7415 phase=D_mixed_covt[Dataset] cur_step=7415 phase=D_mixed_covt[Dataset] cur_step=7415 phase=D_mixed_covt + + + + 82%|████████████████████████▋ | 7415/9000 [6:22:47<1:22:28, 3.12s/it][Dataset] cur_step=7415 phase=D_mixed_covt + {'loss': '3.003', 'grad_norm': '3.565', 'learning_rate': '4.121e-06', 'epoch': '0.2668'} + 82%|████████████████████████▋ | 7415/9000 [6:22:47<1:22:28, 3.12s/it] {'lm_loss': '0.5637', 'visual_loss': '2.779', 'seg_loss': '0.8781', 'dino_loss': '0.9035', 'depth_loss': '0.3328', 'vggt_mse_loss': '0.3305', 'vggt_cos_loss': '0.02265', 'pidinet_loss': '0.2056', 'siglip_loss': '0.4587', 'epoch': '0.2668'} + 82%|████████████████████████▋ | 7415/9000 [6:22:49<1:22:28, 3.12s/it][Dataset] cur_step=7416 phase=D_mixed_covt +[Dataset] cur_step=7416 phase=D_mixed_covt +[Dataset] cur_step=7416 phase=D_mixed_covt +[Dataset] cur_step=7416 phase=D_mixed_covt + 82%|████████████████████████▋ | 7416/9000 [6:22:49<1:16:36, 2.90s/it][Dataset] cur_step=7416 phase=D_mixed_covt[Dataset] cur_step=7416 phase=D_mixed_covt + +[Dataset] cur_step=7416 phase=D_mixed_covt +[Dataset] cur_step=7416 phase=D_mixed_covt + {'loss': '3.123', 'grad_norm': '2.806', 'learning_rate': '4.116e-06', 'epoch': '0.2668'} + 82%|████████████████████████▋ | 7416/9000 [6:22:49<1:16:36, 2.90s/it] {'lm_loss': '0.8485', 'visual_loss': '2.676', 'seg_loss': '0.7321', 'dino_loss': '0.8955', 'depth_loss': '0.2069', 'vggt_mse_loss': '0.2055', 'vggt_cos_loss': '0.01439', 'pidinet_loss': '0.1709', 'siglip_loss': '0.6706', 'epoch': '0.2668'} + 82%|████████████████████████▋ | 7416/9000 [6:22:52<1:16:36, 2.90s/it][Dataset] cur_step=7417 phase=D_mixed_covt +[Dataset] cur_step=7417 phase=D_mixed_covt[Dataset] cur_step=7417 phase=D_mixed_covt +[Dataset] cur_step=7417 phase=D_mixed_covt + +[Dataset] cur_step=7417 phase=D_mixed_covt +[Dataset] cur_step=7417 phase=D_mixed_covt +[Dataset] cur_step=7417 phase=D_mixed_covt 82%|████████████████████████▋ | 7417/9000 [6:22:53<1:19:46, 3.02s/it] +[Dataset] cur_step=7417 phase=D_mixed_covt + {'loss': '3.326', 'grad_norm': '2.783', 'learning_rate': '4.111e-06', 'epoch': '0.2668'} + 82%|████████████████████████▋ | 7417/9000 [6:22:53<1:19:46, 3.02s/it] {'lm_loss': '0.3879', 'visual_loss': '2.703', 'seg_loss': '0.7775', 'dino_loss': '0.8921', 'depth_loss': '0.2861', 'vggt_mse_loss': '0.2842', 'vggt_cos_loss': '0.01973', 'pidinet_loss': '0.2041', 'siglip_loss': '0.5429', 'epoch': '0.2668'} + 82%|████████████████████████▋ | 7417/9000 [6:22:56<1:19:46, 3.02s/it][Dataset] cur_step=7418 phase=D_mixed_covt +[Dataset] cur_step=7418 phase=D_mixed_covt +[Dataset] cur_step=7418 phase=D_mixed_covt +[Dataset] cur_step=7418 phase=D_mixed_covt +[Dataset] cur_step=7418 phase=D_mixed_covt + 82%|████████████████████████▋ | 7418/9000 [6:22:56<1:23:49, 3.18s/it][Dataset] cur_step=7418 phase=D_mixed_covt +[Dataset] cur_step=7418 phase=D_mixed_covt +[Dataset] cur_step=7418 phase=D_mixed_covt + {'loss': '3.055', 'grad_norm': '2.989', 'learning_rate': '4.106e-06', 'epoch': '0.2669'} + 82%|████████████████████████▋ | 7418/9000 [6:22:56<1:23:49, 3.18s/it] {'lm_loss': '0.8962', 'visual_loss': '2.482', 'seg_loss': '0.4981', 'dino_loss': '0.8943', 'depth_loss': '0.188', 'vggt_mse_loss': '0.1867', 'vggt_cos_loss': '0.01216', 'pidinet_loss': '0', 'siglip_loss': '0.9021', 'epoch': '0.2669'} + 82%|████████████████████████▋ | 7418/9000 [6:22:59<1:23:49, 3.18s/it][Dataset] cur_step=7419 phase=D_mixed_covt[Dataset] cur_step=7419 phase=D_mixed_covt[Dataset] cur_step=7419 phase=D_mixed_covt + + + 82%|████████████████████████▋ | 7419/9000 [6:22:59<1:23:32, 3.17s/it][Dataset] cur_step=7419 phase=D_mixed_covt +[Dataset] cur_step=7419 phase=D_mixed_covt +[Dataset] cur_step=7419 phase=D_mixed_covt +[Dataset] cur_step=7419 phase=D_mixed_covt +[Dataset] cur_step=7419 phase=D_mixed_covt + {'loss': '3.093', 'grad_norm': '3.144', 'learning_rate': '4.101e-06', 'epoch': '0.2669'} + 82%|████████████████████████▋ | 7419/9000 [6:22:59<1:23:32, 3.17s/it] {'lm_loss': '0.7633', 'visual_loss': '2.697', 'seg_loss': '0.68', 'dino_loss': '0.8948', 'depth_loss': '0.3018', 'vggt_mse_loss': '0.2997', 'vggt_cos_loss': '0.02115', 'pidinet_loss': '0.1811', 'siglip_loss': '0.6388', 'epoch': '0.2669'} + 82%|████████████████████████▋ | 7419/9000 [6:23:01<1:23:32, 3.17s/it][Dataset] cur_step=7420 phase=D_mixed_covt[Dataset] cur_step=7420 phase=D_mixed_covt +[Dataset] cur_step=7420 phase=D_mixed_covt + +[Dataset] cur_step=7420 phase=D_mixed_covt + 82%|████████████████████████▋ | 7420/9000 [6:23:02<1:20:48, 3.07s/it][Dataset] cur_step=7420 phase=D_mixed_covt +[Dataset] cur_step=7420 phase=D_mixed_covt +[Dataset] cur_step=7420 phase=D_mixed_covt +[Dataset] cur_step=7420 phase=D_mixed_covt + {'loss': '3.221', 'grad_norm': '3.825', 'learning_rate': '4.096e-06', 'epoch': '0.2669'} + 82%|████████████████████████▋ | 7420/9000 [6:23:02<1:20:48, 3.07s/it] {'lm_loss': '0.08323', 'visual_loss': '2.451', 'seg_loss': '0.7283', 'dino_loss': '0.8817', 'depth_loss': '0.2443', 'vggt_mse_loss': '0.2424', 'vggt_cos_loss': '0.01914', 'pidinet_loss': '0.1504', 'siglip_loss': '0.4463', 'epoch': '0.2669'} + 82%|████████████████████████▋ | 7420/9000 [6:23:04<1:20:48, 3.07s/it][Dataset] cur_step=7421 phase=D_mixed_covt[Dataset] cur_step=7421 phase=D_mixed_covt + +[Dataset] cur_step=7421 phase=D_mixed_covt +[Dataset] cur_step=7421 phase=D_mixed_covt +[Dataset] cur_step=7421 phase=D_mixed_covt +[Dataset] cur_step=7421 phase=D_mixed_covt[Dataset] cur_step=7421 phase=D_mixed_covt + + 82%|████████████████████████▋ | 7421/9000 [6:23:05<1:17:08, 2.93s/it][Dataset] cur_step=7421 phase=D_mixed_covt + {'loss': '2.891', 'grad_norm': '3.602', 'learning_rate': '4.091e-06', 'epoch': '0.267'} + 82%|████████████████████████▋ | 7421/9000 [6:23:05<1:17:08, 2.93s/it] {'lm_loss': '0.2093', 'visual_loss': '2.753', 'seg_loss': '0.911', 'dino_loss': '0.9018', 'depth_loss': '0.2359', 'vggt_mse_loss': '0.2343', 'vggt_cos_loss': '0.01605', 'pidinet_loss': '0.2801', 'siglip_loss': '0.4242', 'epoch': '0.267'} + 82%|████████████████████████▋ | 7421/9000 [6:23:06<1:17:08, 2.93s/it][Dataset] cur_step=7422 phase=D_mixed_covt +[Dataset] cur_step=7422 phase=D_mixed_covt +[Dataset] cur_step=7422 phase=D_mixed_covt +[Dataset] cur_step=7422 phase=D_mixed_covt +[Dataset] cur_step=7422 phase=D_mixed_covt +[Dataset] cur_step=7422 phase=D_mixed_covt +[Dataset] cur_step=7422 phase=D_mixed_covt + 82%|████████████████████████▋ | 7422/9000 [6:23:07<1:10:12, 2.67s/it][Dataset] cur_step=7422 phase=D_mixed_covt + {'loss': '3.103', 'grad_norm': '4.447', 'learning_rate': '4.086e-06', 'epoch': '0.267'} + 82%|████████████████████████▋ | 7422/9000 [6:23:07<1:10:12, 2.67s/it] {'lm_loss': '0.5508', 'visual_loss': '2.483', 'seg_loss': '0.6458', 'dino_loss': '0.9048', 'depth_loss': '0.1935', 'vggt_mse_loss': '0.1921', 'vggt_cos_loss': '0.01416', 'pidinet_loss': '0', 'siglip_loss': '0.7391', 'epoch': '0.267'} + 82%|████████████████████████▋ | 7422/9000 [6:23:10<1:10:12, 2.67s/it][Dataset] cur_step=7423 phase=D_mixed_covt[Dataset] cur_step=7423 phase=D_mixed_covt + +[Dataset] cur_step=7423 phase=D_mixed_covt + 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cur_step=7424 phase=D_mixed_covt +[Dataset] cur_step=7424 phase=D_mixed_covt + 82%|████████████████████████▋ | 7424/9000 [6:23:13<1:11:18, 2.71s/it][Dataset] cur_step=7424 phase=D_mixed_covt + {'loss': '3.366', 'grad_norm': '3.209', 'learning_rate': '4.076e-06', 'epoch': '0.2671'} + 82%|████████████████████████▋ | 7424/9000 [6:23:13<1:11:18, 2.71s/it] {'lm_loss': '0.4885', 'visual_loss': '2.903', 'seg_loss': '0.6562', 'dino_loss': '0.9381', 'depth_loss': '0.2488', 'vggt_mse_loss': '0.2465', 'vggt_cos_loss': '0.02314', 'pidinet_loss': '0.3603', 'siglip_loss': '0.6999', 'epoch': '0.2671'} + 82%|████████████████████████▋ | 7424/9000 [6:23:14<1:11:18, 2.71s/it][Dataset] cur_step=7425 phase=D_mixed_covt[Dataset] cur_step=7425 phase=D_mixed_covt + + 82%|████████████████████████▊ | 7425/9000 [6:23:14<1:03:51, 2.43s/it][Dataset] cur_step=7425 phase=D_mixed_covt[Dataset] cur_step=7425 phase=D_mixed_covt + +[Dataset] cur_step=7425 phase=D_mixed_covt +[Dataset] cur_step=7425 phase=D_mixed_covt +[Dataset] cur_step=7425 phase=D_mixed_covt +[Dataset] cur_step=7425 phase=D_mixed_covt + {'loss': '3.29', 'grad_norm': '4.01', 'learning_rate': '4.071e-06', 'epoch': '0.2671'} + 82%|████████████████████████▊ | 7425/9000 [6:23:14<1:03:51, 2.43s/it] {'lm_loss': '0.7757', 'visual_loss': '2.557', 'seg_loss': '0.7415', 'dino_loss': '0.932', 'depth_loss': '0.2066', 'vggt_mse_loss': '0.205', 'vggt_cos_loss': '0.01632', 'pidinet_loss': '0.2272', 'siglip_loss': '0.45', 'epoch': '0.2671'} + 82%|████████████████████████▊ | 7425/9000 [6:23:17<1:03:51, 2.43s/it][Dataset] cur_step=7426 phase=D_mixed_covt +[Dataset] cur_step=7426 phase=D_mixed_covt +[Dataset] cur_step=7426 phase=D_mixed_covt +[Dataset] cur_step=7426 phase=D_mixed_covt[Dataset] cur_step=7426 phase=D_mixed_covt[Dataset] cur_step=7426 phase=D_mixed_covt + + + 83%|████████████████████████▊ | 7426/9000 [6:23:18<1:12:26, 2.76s/it][Dataset] cur_step=7426 phase=D_mixed_covt +[Dataset] cur_step=7426 phase=D_mixed_covt + {'loss': '3.331', 'grad_norm': '2.871', 'learning_rate': '4.066e-06', 'epoch': '0.2672'} + 83%|████████████████████████▊ | 7426/9000 [6:23:18<1:12:26, 2.76s/it] {'lm_loss': '1.294', 'visual_loss': '1.961', 'seg_loss': '0.6371', 'dino_loss': '0.8861', 'depth_loss': '0.1645', 'vggt_mse_loss': '0.1637', 'vggt_cos_loss': '0.00891', 'pidinet_loss': '0.1576', 'siglip_loss': '0.1159', 'epoch': '0.2672'} + 83%|████████████████████████▊ | 7426/9000 [6:23:20<1:12:26, 2.76s/it][Dataset] cur_step=7427 phase=D_mixed_covt +[Dataset] cur_step=7427 phase=D_mixed_covt[Dataset] cur_step=7427 phase=D_mixed_covt + +[Dataset] cur_step=7427 phase=D_mixed_covt + 83%|████████████████████████▊ | 7427/9000 [6:23:22<1:25:47, 3.27s/it][Dataset] cur_step=7427 phase=D_mixed_covt +[Dataset] cur_step=7427 phase=D_mixed_covt +[Dataset] cur_step=7427 phase=D_mixed_covt +[Dataset] cur_step=7427 phase=D_mixed_covt + {'loss': '3.33', 'grad_norm': '3.376', 'learning_rate': '4.061e-06', 'epoch': '0.2672'} + 83%|████████████████████████▊ | 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'dino_loss': '0.8862', 'depth_loss': '0.2494', 'vggt_mse_loss': '0.2479', 'vggt_cos_loss': '0.01423', 'pidinet_loss': '0.13', 'siglip_loss': '0', 'epoch': '0.2672'} + 83%|████████████████████████▊ | 7428/9000 [6:23:27<1:17:28, 2.96s/it][Dataset] cur_step=7429 phase=D_mixed_covt +[Dataset] cur_step=7429 phase=D_mixed_covt +[Dataset] cur_step=7429 phase=D_mixed_covt +[Dataset] cur_step=7429 phase=D_mixed_covt[Dataset] cur_step=7429 phase=D_mixed_covt + + 83%|████████████████████████▊ | 7429/9000 [6:23:28<1:20:33, 3.08s/it][Dataset] cur_step=7429 phase=D_mixed_covt +[Dataset] cur_step=7429 phase=D_mixed_covt +[Dataset] cur_step=7429 phase=D_mixed_covt + {'loss': '2.737', 'grad_norm': '2.384', 'learning_rate': '4.051e-06', 'epoch': '0.2673'} + 83%|████████████████████████▊ | 7429/9000 [6:23:28<1:20:33, 3.08s/it] {'lm_loss': '0.8988', 'visual_loss': '2.923', 'seg_loss': '0.7473', 'dino_loss': '0.9048', 'depth_loss': '0.3958', 'vggt_mse_loss': '0.3926', 'vggt_cos_loss': '0.0321', 'pidinet_loss': '0.2979', 'siglip_loss': '0.5769', 'epoch': '0.2673'} + 83%|████████████████████████▊ | 7429/9000 [6:23:30<1:20:33, 3.08s/it][Dataset] cur_step=7430 phase=D_mixed_covt +[Dataset] cur_step=7430 phase=D_mixed_covt 83%|████████████████████████▊ | 7430/9000 [6:23:31<1:17:05, 2.95s/it] +[Dataset] cur_step=7430 phase=D_mixed_covt[Dataset] cur_step=7430 phase=D_mixed_covt[Dataset] cur_step=7430 phase=D_mixed_covt + + +[Dataset] cur_step=7430 phase=D_mixed_covt +[Dataset] cur_step=7430 phase=D_mixed_covt +[Dataset] cur_step=7430 phase=D_mixed_covt + {'loss': '3.132', 'grad_norm': '2.48', 'learning_rate': '4.046e-06', 'epoch': '0.2673'} + 83%|████████████████████████▊ | 7430/9000 [6:23:31<1:17:05, 2.95s/it] {'lm_loss': '0.5737', 'visual_loss': '2.814', 'seg_loss': '0.819', 'dino_loss': '0.9171', 'depth_loss': '0.2754', 'vggt_mse_loss': '0.2735', 'vggt_cos_loss': '0.01839', 'pidinet_loss': '0.2153', 'siglip_loss': '0.5877', 'epoch': '0.2673'} + 83%|████████████████████████▊ | 7430/9000 [6:23:32<1:17:05, 2.95s/it][Dataset] cur_step=7431 phase=D_mixed_covt +[Dataset] cur_step=7431 phase=D_mixed_covt +[Dataset] cur_step=7431 phase=D_mixed_covt[Dataset] cur_step=7431 phase=D_mixed_covt + + 83%|████████████████████████▊ | 7431/9000 [6:23:32<1:08:21, 2.61s/it][Dataset] cur_step=7431 phase=D_mixed_covt +[Dataset] cur_step=7431 phase=D_mixed_covt +[Dataset] cur_step=7431 phase=D_mixed_covt +[Dataset] cur_step=7431 phase=D_mixed_covt + {'loss': '3.028', 'grad_norm': '5.499', 'learning_rate': '4.041e-06', 'epoch': '0.2673'} + 83%|████████████████████████▊ | 7431/9000 [6:23:32<1:08:21, 2.61s/it] {'lm_loss': '0.4187', 'visual_loss': '1.936', 'seg_loss': '0.4503', 'dino_loss': '0.8416', 'depth_loss': '0.2184', 'vggt_mse_loss': '0.2167', 'vggt_cos_loss': '0.01733', 'pidinet_loss': '0.4258', 'siglip_loss': '0', 'epoch': '0.2673'} + 83%|████████████████████████▊ | 7431/9000 [6:23:34<1:08:21, 2.61s/it][Dataset] cur_step=7432 phase=D_mixed_covt +[Dataset] cur_step=7432 phase=D_mixed_covt +[Dataset] cur_step=7432 phase=D_mixed_covt +[Dataset] cur_step=7432 phase=D_mixed_covt[Dataset] cur_step=7432 phase=D_mixed_covt + +[Dataset] cur_step=7432 phase=D_mixed_covt 83%|████████████████████████▊ | 7432/9000 [6:23:35<1:08:56, 2.64s/it] +[Dataset] cur_step=7432 phase=D_mixed_covt +[Dataset] cur_step=7432 phase=D_mixed_covt + {'loss': '2.503', 'grad_norm': '3.824', 'learning_rate': '4.036e-06', 'epoch': '0.2674'} + 83%|████████████████████████▊ | 7432/9000 [6:23:35<1:08:56, 2.64s/it] {'lm_loss': '0.5848', 'visual_loss': '2.69', 'seg_loss': '0.7238', 'dino_loss': '0.9455', 'depth_loss': '0.2227', 'vggt_mse_loss': '0.2211', 'vggt_cos_loss': '0.01601', 'pidinet_loss': '0.2045', 'siglip_loss': '0.5937', 'epoch': '0.2674'} + 83%|████████████████████████▊ | 7432/9000 [6:23:38<1:08:56, 2.64s/it][Dataset] cur_step=7433 phase=D_mixed_covt +[Dataset] cur_step=7433 phase=D_mixed_covt +[Dataset] cur_step=7433 phase=D_mixed_covt[Dataset] cur_step=7433 phase=D_mixed_covt + +[Dataset] cur_step=7433 phase=D_mixed_covt[Dataset] cur_step=7433 phase=D_mixed_covt +[Dataset] cur_step=7433 phase=D_mixed_covt[Dataset] cur_step=7433 phase=D_mixed_covt + + + 83%|████████████████████████▊ | 7433/9000 [6:23:38<1:14:54, 2.87s/it] {'loss': '3.017', 'grad_norm': '8.622', 'learning_rate': '4.031e-06', 'epoch': '0.2674'} + 83%|████████████████████████▊ | 7433/9000 [6:23:38<1:14:54, 2.87s/it] {'lm_loss': '0.1432', 'visual_loss': '1.796', 'seg_loss': '0', 'dino_loss': '0.9576', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2464', 'siglip_loss': '0.5919', 'epoch': '0.2674'} + 83%|████████████████████████▊ | 7433/9000 [6:23:39<1:14:54, 2.87s/it][Dataset] cur_step=7434 phase=D_mixed_covt +[Dataset] cur_step=7434 phase=D_mixed_covt +[Dataset] cur_step=7434 phase=D_mixed_covt +[Dataset] cur_step=7434 phase=D_mixed_covt[Dataset] cur_step=7434 phase=D_mixed_covt + +[Dataset] cur_step=7434 phase=D_mixed_covt + 83%|██████████████████████████▍ | 7434/9000 [6:23:39<59:51, 2.29s/it][Dataset] cur_step=7434 phase=D_mixed_covt[Dataset] cur_step=7434 phase=D_mixed_covt + + {'loss': '2.302', 'grad_norm': '3.211', 'learning_rate': '4.026e-06', 'epoch': '0.2674'} + 83%|██████████████████████████▍ | 7434/9000 [6:23:39<59:51, 2.29s/it] {'lm_loss': '1.044', 'visual_loss': '2.426', 'seg_loss': '0.6138', 'dino_loss': '0.892', 'depth_loss': '0.2182', 'vggt_mse_loss': '0.2168', 'vggt_cos_loss': '0.01468', 'pidinet_loss': '0.1976', 'siglip_loss': '0.5044', 'epoch': '0.2674'} + 83%|██████████████████████████▍ | 7434/9000 [6:23:43<59:51, 2.29s/it][Dataset] cur_step=7435 phase=D_mixed_covt +[Dataset] cur_step=7435 phase=D_mixed_covt +[Dataset] cur_step=7435 phase=D_mixed_covt[Dataset] cur_step=7435 phase=D_mixed_covt + + 83%|████████████████████████▊ | 7435/9000 [6:23:45<1:22:05, 3.15s/it][Dataset] cur_step=7435 phase=D_mixed_covt +[Dataset] cur_step=7435 phase=D_mixed_covt +[Dataset] cur_step=7435 phase=D_mixed_covt +[Dataset] cur_step=7435 phase=D_mixed_covt + {'loss': '3.211', 'grad_norm': '4.717', 'learning_rate': '4.021e-06', 'epoch': '0.2675'} + 83%|████████████████████████▊ | 7435/9000 [6:23:45<1:22:05, 3.15s/it] {'lm_loss': '0.7464', 'visual_loss': '2.266', 'seg_loss': '0.592', 'dino_loss': '0.8934', 'depth_loss': '0.3621', 'vggt_mse_loss': '0.36', 'vggt_cos_loss': '0.02127', 'pidinet_loss': '0', 'siglip_loss': '0.4183', 'epoch': '0.2675'} + 83%|████████████████████████▊ | 7435/9000 [6:23:47<1:22:05, 3.15s/it][Dataset] cur_step=7436 phase=D_mixed_covt +[Dataset] cur_step=7436 phase=D_mixed_covt +[Dataset] cur_step=7436 phase=D_mixed_covt +[Dataset] cur_step=7436 phase=D_mixed_covt + 83%|████████████████████████▊ | 7436/9000 [6:23:50<1:36:52, 3.72s/it][Dataset] cur_step=7436 phase=D_mixed_covt +[Dataset] cur_step=7436 phase=D_mixed_covt +[Dataset] cur_step=7436 phase=D_mixed_covt +[Dataset] cur_step=7436 phase=D_mixed_covt + {'loss': '2.882', 'grad_norm': '3.866', 'learning_rate': '4.016e-06', 'epoch': '0.2675'} + 83%|████████████████████████▊ | 7436/9000 [6:23:50<1:36:52, 3.72s/it] {'lm_loss': '0.613', 'visual_loss': '2.432', 'seg_loss': '0.5172', 'dino_loss': '0.8823', 'depth_loss': '0.3353', 'vggt_mse_loss': '0.3326', 'vggt_cos_loss': '0.02655', 'pidinet_loss': '0.1001', 'siglip_loss': '0.5971', 'epoch': '0.2675'} + 83%|████████████████████████▊ | 7436/9000 [6:23:52<1:36:52, 3.72s/it][Dataset] cur_step=7437 phase=D_mixed_covt[Dataset] cur_step=7437 phase=D_mixed_covt + +[Dataset] cur_step=7437 phase=D_mixed_covt +[Dataset] cur_step=7437 phase=D_mixed_covt + 83%|████████████████████████▊ | 7437/9000 [6:23:53<1:33:18, 3.58s/it][Dataset] cur_step=7437 phase=D_mixed_covt +[Dataset] cur_step=7437 phase=D_mixed_covt[Dataset] cur_step=7437 phase=D_mixed_covt + +[Dataset] cur_step=7437 phase=D_mixed_covt + {'loss': '3.066', 'grad_norm': '3.67', 'learning_rate': '4.011e-06', 'epoch': '0.2675'} + 83%|████████████████████████▊ | 7437/9000 [6:23:53<1:33:18, 3.58s/it] {'lm_loss': '0.09493', 'visual_loss': '1.935', 'seg_loss': '0.5273', 'dino_loss': '0.8462', 'depth_loss': '0.2095', 'vggt_mse_loss': '0.2079', 'vggt_cos_loss': '0.0164', 'pidinet_loss': '0.1201', 'siglip_loss': '0.2323', 'epoch': '0.2675'} + 83%|████████████████████████▊ | 7437/9000 [6:23:54<1:33:18, 3.58s/it][Dataset] cur_step=7438 phase=D_mixed_covt +[Dataset] cur_step=7438 phase=D_mixed_covt +[Dataset] cur_step=7438 phase=D_mixed_covt + 83%|████████████████████████▊ | 7438/9000 [6:23:55<1:19:58, 3.07s/it][Dataset] cur_step=7438 phase=D_mixed_covt +[Dataset] cur_step=7438 phase=D_mixed_covt +[Dataset] cur_step=7438 phase=D_mixed_covt[Dataset] cur_step=7438 phase=D_mixed_covt + +[Dataset] cur_step=7438 phase=D_mixed_covt + {'loss': '3.125', 'grad_norm': '3.409', 'learning_rate': '4.006e-06', 'epoch': '0.2676'} + 83%|████████████████████████▊ | 7438/9000 [6:23:55<1:19:58, 3.07s/it] {'lm_loss': '0.6765', 'visual_loss': '3.162', 'seg_loss': '0.9188', 'dino_loss': '0.9103', 'depth_loss': '0.2954', 'vggt_mse_loss': '0.2929', 'vggt_cos_loss': '0.02557', 'pidinet_loss': '0.3281', 'siglip_loss': '0.7097', 'epoch': '0.2676'} + 83%|████████████████████████▊ | 7438/9000 [6:23:57<1:19:58, 3.07s/it][Dataset] cur_step=7439 phase=D_mixed_covt +[Dataset] cur_step=7439 phase=D_mixed_covt +[Dataset] cur_step=7439 phase=D_mixed_covt +[Dataset] cur_step=7439 phase=D_mixed_covt +[Dataset] cur_step=7439 phase=D_mixed_covt +[Dataset] cur_step=7439 phase=D_mixed_covt[Dataset] cur_step=7439 phase=D_mixed_covt + +[Dataset] cur_step=7439 phase=D_mixed_covt + 83%|████████████████████████▊ | 7439/9000 [6:23:57<1:16:42, 2.95s/it] {'loss': '3.391', 'grad_norm': '3.692', 'learning_rate': '4.001e-06', 'epoch': '0.2676'} + 83%|████████████████████████▊ | 7439/9000 [6:23:57<1:16:42, 2.95s/it] {'lm_loss': '0.08422', 'visual_loss': '2.171', 'seg_loss': '0.6242', 'dino_loss': '0.846', 'depth_loss': '0.2326', 'vggt_mse_loss': '0.231', 'vggt_cos_loss': '0.0159', 'pidinet_loss': '0.1419', 'siglip_loss': '0.3264', 'epoch': '0.2676'} + 83%|████████████████████████▊ | 7439/9000 [6:24:00<1:16:42, 2.95s/it][Dataset] cur_step=7440 phase=D_mixed_covt +[Dataset] cur_step=7440 phase=D_mixed_covt +[Dataset] cur_step=7440 phase=D_mixed_covt +[Dataset] cur_step=7440 phase=D_mixed_covt +[Dataset] cur_step=7440 phase=D_mixed_covt +[Dataset] cur_step=7440 phase=D_mixed_covt +[Dataset] cur_step=7440 phase=D_mixed_covt +[Dataset] cur_step=7440 phase=D_mixed_covt 83%|████████████████████████▊ | 7440/9000 [6:24:00<1:15:38, 2.91s/it] + {'loss': '2.926', 'grad_norm': '3.107', 'learning_rate': '3.996e-06', 'epoch': '0.2677'} + 83%|████████████████████████▊ | 7440/9000 [6:24:00<1:15:38, 2.91s/it] {'lm_loss': '0.3072', 'visual_loss': '2.668', 'seg_loss': '0.6262', 'dino_loss': '0.9152', 'depth_loss': '0.2644', 'vggt_mse_loss': '0.263', 'vggt_cos_loss': '0.01431', 'pidinet_loss': '0.2987', 'siglip_loss': '0.5636', 'epoch': '0.2677'} + 83%|████████████████████████▊ | 7440/9000 [6:24:03<1:15:38, 2.91s/it][Dataset] cur_step=7441 phase=D_mixed_covt +[Dataset] cur_step=7441 phase=D_mixed_covt +[Dataset] cur_step=7441 phase=D_mixed_covt +[Dataset] cur_step=7441 phase=D_mixed_covt[Dataset] cur_step=7441 phase=D_mixed_covt + +[Dataset] cur_step=7441 phase=D_mixed_covt +[Dataset] cur_step=7441 phase=D_mixed_covt 83%|████████████████████████▊ | 7441/9000 [6:24:03<1:17:06, 2.97s/it] +[Dataset] cur_step=7441 phase=D_mixed_covt + {'loss': '3.248', 'grad_norm': '2.619', 'learning_rate': '3.991e-06', 'epoch': '0.2677'} + 83%|████████████████████████▊ | 7441/9000 [6:24:03<1:17:06, 2.97s/it] {'lm_loss': '0.6049', 'visual_loss': '2.98', 'seg_loss': '0.8239', 'dino_loss': '0.9033', 'depth_loss': '0.2928', 'vggt_mse_loss': '0.2909', 'vggt_cos_loss': '0.01887', 'pidinet_loss': '0.2955', 'siglip_loss': '0.6648', 'epoch': '0.2677'} + 83%|████████████████████████▊ | 7441/9000 [6:24:05<1:17:06, 2.97s/it][Dataset] cur_step=7442 phase=D_mixed_covt +[Dataset] cur_step=7442 phase=D_mixed_covt[Dataset] cur_step=7442 phase=D_mixed_covt + +[Dataset] cur_step=7442 phase=D_mixed_covt[Dataset] cur_step=7442 phase=D_mixed_covt + 83%|████████████████████████▊ | 7442/9000 [6:24:06<1:16:05, 2.93s/it] +[Dataset] cur_step=7442 phase=D_mixed_covt +[Dataset] cur_step=7442 phase=D_mixed_covt +[Dataset] cur_step=7442 phase=D_mixed_covt + {'loss': '3.167', 'grad_norm': '10.98', 'learning_rate': '3.986e-06', 'epoch': '0.2677'} + 83%|████████████████████████▊ | 7442/9000 [6:24:06<1:16:05, 2.93s/it] {'lm_loss': '0.4432', 'visual_loss': '2.862', 'seg_loss': '0.8464', 'dino_loss': '0.8812', 'depth_loss': '0.2305', 'vggt_mse_loss': '0.2289', 'vggt_cos_loss': '0.01611', 'pidinet_loss': '0.2978', 'siglip_loss': '0.6064', 'epoch': '0.2677'} + 83%|████████████████████████▊ | 7442/9000 [6:24:08<1:16:05, 2.93s/it][Dataset] cur_step=7443 phase=D_mixed_covt[Dataset] cur_step=7443 phase=D_mixed_covt + + 83%|████████████████████████▊ | 7443/9000 [6:24:09<1:13:27, 2.83s/it][Dataset] cur_step=7443 phase=D_mixed_covt +[Dataset] cur_step=7443 phase=D_mixed_covt +[Dataset] cur_step=7443 phase=D_mixed_covt +[Dataset] cur_step=7443 phase=D_mixed_covt +[Dataset] cur_step=7443 phase=D_mixed_covt +[Dataset] cur_step=7443 phase=D_mixed_covt + {'loss': '3.037', 'grad_norm': '2.556', 'learning_rate': '3.981e-06', 'epoch': '0.2678'} + 83%|████████████████████████▊ | 7443/9000 [6:24:09<1:13:27, 2.83s/it] {'lm_loss': '0.09714', 'visual_loss': '2.806', 'seg_loss': '0.7792', 'dino_loss': '0.939', 'depth_loss': '0.2151', 'vggt_mse_loss': '0.2135', 'vggt_cos_loss': '0.01616', 'pidinet_loss': '0.3052', 'siglip_loss': '0.5671', 'epoch': '0.2678'} + 83%|████████████████████████▊ | 7443/9000 [6:24:10<1:13:27, 2.83s/it][Dataset] cur_step=7444 phase=D_mixed_covt[Dataset] cur_step=7444 phase=D_mixed_covt + +[Dataset] cur_step=7444 phase=D_mixed_covt +[Dataset] cur_step=7444 phase=D_mixed_covt +[Dataset] cur_step=7444 phase=D_mixed_covt + 83%|████████████████████████▊ | 7444/9000 [6:24:11<1:09:23, 2.68s/it][Dataset] cur_step=7444 phase=D_mixed_covt +[Dataset] cur_step=7444 phase=D_mixed_covt +[Dataset] cur_step=7444 phase=D_mixed_covt + {'loss': '3.133', 'grad_norm': '2.997', 'learning_rate': '3.976e-06', 'epoch': '0.2678'} + 83%|████████████████████████▊ | 7444/9000 [6:24:11<1:09:23, 2.68s/it] {'lm_loss': '0.6048', 'visual_loss': '2.765', 'seg_loss': '0.7695', 'dino_loss': '0.8948', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2447', 'siglip_loss': '0.856', 'epoch': '0.2678'} + 83%|████████████████████████▊ | 7444/9000 [6:24:12<1:09:23, 2.68s/it][Dataset] cur_step=7445 phase=D_mixed_covt +[Dataset] cur_step=7445 phase=D_mixed_covt +[Dataset] cur_step=7445 phase=D_mixed_covt +[Dataset] cur_step=7445 phase=D_mixed_covt +[Dataset] cur_step=7445 phase=D_mixed_covt[Dataset] cur_step=7445 phase=D_mixed_covt + +[Dataset] cur_step=7445 phase=D_mixed_covt +[Dataset] cur_step=7445 phase=D_mixed_covt + 83%|████████████████████████▊ | 7445/9000 [6:24:13<1:06:43, 2.57s/it] {'loss': '2.932', 'grad_norm': '4.087', 'learning_rate': '3.971e-06', 'epoch': '0.2678'} + 83%|████████████████████████▊ | 7445/9000 [6:24:13<1:06:43, 2.57s/it] {'lm_loss': '0.5991', 'visual_loss': '2.568', 'seg_loss': '0.6461', 'dino_loss': '0.9073', 'depth_loss': '0.226', 'vggt_mse_loss': '0.2244', 'vggt_cos_loss': '0.01541', 'pidinet_loss': '0.2633', 'siglip_loss': '0.5251', 'epoch': '0.2678'} + 83%|████████████████████████▊ | 7445/9000 [6:24:16<1:06:43, 2.57s/it][Dataset] cur_step=7446 phase=D_mixed_covt +[Dataset] cur_step=7446 phase=D_mixed_covt +[Dataset] cur_step=7446 phase=D_mixed_covt[Dataset] cur_step=7446 phase=D_mixed_covt + +[Dataset] cur_step=7446 phase=D_mixed_covt 83%|████████████████████████▊ | 7446/9000 [6:24:19<1:29:38, 3.46s/it] +[Dataset] cur_step=7446 phase=D_mixed_covt[Dataset] cur_step=7446 phase=D_mixed_covt + +[Dataset] cur_step=7446 phase=D_mixed_covt + {'loss': '2.873', 'grad_norm': '2.413', 'learning_rate': '3.966e-06', 'epoch': '0.2679'} + 83%|████████████████████████▊ | 7446/9000 [6:24:19<1:29:38, 3.46s/it] {'lm_loss': '1.017', 'visual_loss': '2.522', 'seg_loss': '0.7267', 'dino_loss': '0.8266', 'depth_loss': '0.2053', 'vggt_mse_loss': '0.2042', 'vggt_cos_loss': '0.01103', 'pidinet_loss': '0.2197', 'siglip_loss': '0.5441', 'epoch': '0.2679'} + 83%|████████████████████████▊ | 7446/9000 [6:24:21<1:29:38, 3.46s/it][Dataset] cur_step=7447 phase=D_mixed_covt + 83%|████████████████████████▊ | 7447/9000 [6:24:22<1:22:39, 3.19s/it][Dataset] cur_step=7447 phase=D_mixed_covt[Dataset] cur_step=7447 phase=D_mixed_covt + +[Dataset] cur_step=7447 phase=D_mixed_covt +[Dataset] cur_step=7447 phase=D_mixed_covt +[Dataset] cur_step=7447 phase=D_mixed_covt[Dataset] cur_step=7447 phase=D_mixed_covt + +[Dataset] cur_step=7447 phase=D_mixed_covt + {'loss': '3.105', 'grad_norm': '2.607', 'learning_rate': '3.961e-06', 'epoch': '0.2679'} + 83%|████████████████████████▊ | 7447/9000 [6:24:22<1:22:39, 3.19s/it] {'lm_loss': '0.08518', 'visual_loss': '2.05', 'seg_loss': '0.5589', 'dino_loss': '0.8463', 'depth_loss': '0.177', 'vggt_mse_loss': '0.176', 'vggt_cos_loss': '0.01007', 'pidinet_loss': '0.2605', 'siglip_loss': '0.2069', 'epoch': '0.2679'} + 83%|████████████████████████▊ | 7447/9000 [6:24:24<1:22:39, 3.19s/it][Dataset] cur_step=7448 phase=D_mixed_covt +[Dataset] cur_step=7448 phase=D_mixed_covt +[Dataset] cur_step=7448 phase=D_mixed_covt + 83%|████████████████████████▊ | 7448/9000 [6:24:25<1:23:46, 3.24s/it][Dataset] cur_step=7448 phase=D_mixed_covt +[Dataset] cur_step=7448 phase=D_mixed_covt +[Dataset] cur_step=7448 phase=D_mixed_covt +[Dataset] cur_step=7448 phase=D_mixed_covt +[Dataset] cur_step=7448 phase=D_mixed_covt + {'loss': '2.874', 'grad_norm': '2.925', 'learning_rate': '3.956e-06', 'epoch': '0.2679'} + 83%|████████████████████████▊ | 7448/9000 [6:24:25<1:23:46, 3.24s/it] {'lm_loss': '0.6814', 'visual_loss': '2.185', 'seg_loss': '0.6821', 'dino_loss': '0.9626', 'depth_loss': '0.3081', 'vggt_mse_loss': '0.3049', 'vggt_cos_loss': '0.03229', 'pidinet_loss': '0.2321', 'siglip_loss': '0', 'epoch': '0.2679'} + 83%|████████████████████████▊ | 7448/9000 [6:24:27<1:23:46, 3.24s/it][Dataset] cur_step=7449 phase=D_mixed_covt +[Dataset] cur_step=7449 phase=D_mixed_covt +[Dataset] cur_step=7449 phase=D_mixed_covt +[Dataset] cur_step=7449 phase=D_mixed_covt[Dataset] cur_step=7449 phase=D_mixed_covt + + 83%|████████████████████████▊ | 7449/9000 [6:24:28<1:19:24, 3.07s/it][Dataset] cur_step=7449 phase=D_mixed_covt[Dataset] cur_step=7449 phase=D_mixed_covt + +[Dataset] cur_step=7449 phase=D_mixed_covt + {'loss': '2.719', 'grad_norm': '3.137', 'learning_rate': '3.951e-06', 'epoch': '0.268'} + 83%|████████████████████████▊ | 7449/9000 [6:24:28<1:19:24, 3.07s/it] {'lm_loss': '0.9719', 'visual_loss': '2.639', 'seg_loss': '0.753', 'dino_loss': '0.9054', 'depth_loss': '0.257', 'vggt_mse_loss': '0.255', 'vggt_cos_loss': '0.02014', 'pidinet_loss': '0.3103', 'siglip_loss': '0.4134', 'epoch': '0.268'} + 83%|████████████████████████▊ | 7449/9000 [6:24:31<1:19:24, 3.07s/it][Dataset] cur_step=7450 phase=D_mixed_covt + 83%|████████████████████████▊ | 7450/9000 [6:24:31<1:24:24, 3.27s/it][Dataset] cur_step=7450 phase=D_mixed_covt +[Dataset] cur_step=7450 phase=D_mixed_covt +[Dataset] cur_step=7450 phase=D_mixed_covt +[Dataset] cur_step=7450 phase=D_mixed_covt +[Dataset] cur_step=7450 phase=D_mixed_covt[Dataset] cur_step=7450 phase=D_mixed_covt + +[Dataset] cur_step=7450 phase=D_mixed_covt + {'loss': '3.127', 'grad_norm': '2.22', 'learning_rate': '3.946e-06', 'epoch': '0.268'} + 83%|████████████████████████▊ | 7450/9000 [6:24:31<1:24:24, 3.27s/it] {'lm_loss': '0.5122', 'visual_loss': '3.167', 'seg_loss': '0.9162', 'dino_loss': '0.9514', 'depth_loss': '0.1609', 'vggt_mse_loss': '0.1599', 'vggt_cos_loss': '0.01048', 'pidinet_loss': '0.1728', 'siglip_loss': '0.9659', 'epoch': '0.268'} + 83%|████████████████████████▊ | 7450/9000 [6:24:32<1:24:24, 3.27s/it][Dataset] cur_step=7451 phase=D_mixed_covt +[Dataset] cur_step=7451 phase=D_mixed_covt +[Dataset] cur_step=7451 phase=D_mixed_covt 83%|████████████████████████▊ | 7451/9000 [6:24:33<1:12:43, 2.82s/it] +[Dataset] cur_step=7451 phase=D_mixed_covt[Dataset] cur_step=7451 phase=D_mixed_covt + +[Dataset] cur_step=7451 phase=D_mixed_covt[Dataset] cur_step=7451 phase=D_mixed_covt + +[Dataset] cur_step=7451 phase=D_mixed_covt + {'loss': '3.764', 'grad_norm': '3.211', 'learning_rate': '3.941e-06', 'epoch': '0.2681'} + 83%|████████████████████████▊ | 7451/9000 [6:24:33<1:12:43, 2.82s/it] {'lm_loss': '0.5269', 'visual_loss': '2.742', 'seg_loss': '0.6883', 'dino_loss': '0.9155', 'depth_loss': '0.2686', 'vggt_mse_loss': '0.2672', 'vggt_cos_loss': '0.01382', 'pidinet_loss': '0.2686', 'siglip_loss': '0.6005', 'epoch': '0.2681'} + 83%|████████████████████████▊ | 7451/9000 [6:24:35<1:12:43, 2.82s/it][Dataset] cur_step=7452 phase=D_mixed_covt +[Dataset] cur_step=7452 phase=D_mixed_covt +[Dataset] cur_step=7452 phase=D_mixed_covt +[Dataset] cur_step=7452 phase=D_mixed_covt[Dataset] cur_step=7452 phase=D_mixed_covt + + 83%|████████████████████████▊ | 7452/9000 [6:24:36<1:11:31, 2.77s/it][Dataset] cur_step=7452 phase=D_mixed_covt +[Dataset] cur_step=7452 phase=D_mixed_covt +[Dataset] cur_step=7452 phase=D_mixed_covt + {'loss': '3.177', 'grad_norm': '2.668', 'learning_rate': '3.936e-06', 'epoch': '0.2681'} + 83%|████████████████████████▊ | 7452/9000 [6:24:36<1:11:31, 2.77s/it] {'lm_loss': '0.6035', 'visual_loss': '2.526', 'seg_loss': '0.7054', 'dino_loss': '0.9416', 'depth_loss': '0.2501', 'vggt_mse_loss': '0.2485', 'vggt_cos_loss': '0.01606', 'pidinet_loss': '0.2146', 'siglip_loss': '0.4141', 'epoch': '0.2681'} + 83%|████████████████████████▊ | 7452/9000 [6:24:38<1:11:31, 2.77s/it][Dataset] cur_step=7453 phase=D_mixed_covt + 83%|████████████████████████▊ | 7453/9000 [6:24:39<1:15:51, 2.94s/it][Dataset] cur_step=7453 phase=D_mixed_covt +[Dataset] cur_step=7453 phase=D_mixed_covt +[Dataset] cur_step=7453 phase=D_mixed_covt[Dataset] cur_step=7453 phase=D_mixed_covt + +[Dataset] cur_step=7453 phase=D_mixed_covt +[Dataset] cur_step=7453 phase=D_mixed_covt +[Dataset] cur_step=7453 phase=D_mixed_covt + {'loss': '3.32', 'grad_norm': '3.045', 'learning_rate': '3.931e-06', 'epoch': '0.2681'} + 83%|████████████████████████▊ | 7453/9000 [6:24:39<1:15:51, 2.94s/it] {'lm_loss': '1.093', 'visual_loss': '2.512', 'seg_loss': '0.7283', 'dino_loss': '0.9452', 'depth_loss': '0.2063', 'vggt_mse_loss': '0.2051', 'vggt_cos_loss': '0.01278', 'pidinet_loss': '0.2452', 'siglip_loss': '0.3872', 'epoch': '0.2681'} + 83%|████████████████████████▊ | 7453/9000 [6:24:41<1:15:51, 2.94s/it][Dataset] cur_step=7454 phase=D_mixed_covt +[Dataset] cur_step=7454 phase=D_mixed_covt +[Dataset] cur_step=7454 phase=D_mixed_covt +[Dataset] cur_step=7454 phase=D_mixed_covt +[Dataset] cur_step=7454 phase=D_mixed_covt +[Dataset] cur_step=7454 phase=D_mixed_covt +[Dataset] cur_step=7454 phase=D_mixed_covt +[Dataset] cur_step=7454 phase=D_mixed_covt + 83%|████████████████████████▊ | 7454/9000 [6:24:43<1:20:02, 3.11s/it] {'loss': '3.379', 'grad_norm': '2.551', 'learning_rate': '3.926e-06', 'epoch': '0.2682'} + 83%|████████████████████████▊ | 7454/9000 [6:24:43<1:20:02, 3.11s/it] {'lm_loss': '0.994', 'visual_loss': '2.942', 'seg_loss': '0.7398', 'dino_loss': '0.9275', 'depth_loss': '0.1383', 'vggt_mse_loss': '0.1374', 'vggt_cos_loss': '0.009265', 'pidinet_loss': '0.1907', 'siglip_loss': '0.9459', 'epoch': '0.2682'} + 83%|████████████████████████▊ | 7454/9000 [6:24:44<1:20:02, 3.11s/it][Dataset] cur_step=7455 phase=D_mixed_covt + 83%|████████████████████████▊ | 7455/9000 [6:24:44<1:11:08, 2.76s/it][Dataset] cur_step=7455 phase=D_mixed_covt +[Dataset] cur_step=7455 phase=D_mixed_covt +[Dataset] cur_step=7455 phase=D_mixed_covt +[Dataset] cur_step=7455 phase=D_mixed_covt +[Dataset] cur_step=7455 phase=D_mixed_covt +[Dataset] cur_step=7455 phase=D_mixed_covt +[Dataset] cur_step=7455 phase=D_mixed_covt + {'loss': '3.348', 'grad_norm': '5.291', 'learning_rate': '3.921e-06', 'epoch': '0.2682'} + 83%|████████████████████████▊ | 7455/9000 [6:24:44<1:11:08, 2.76s/it] {'lm_loss': '0.7044', 'visual_loss': '2.706', 'seg_loss': '0.6865', 'dino_loss': '0.9279', 'depth_loss': '0.3014', 'vggt_mse_loss': '0.2991', 'vggt_cos_loss': '0.02381', 'pidinet_loss': '0.2578', 'siglip_loss': '0.5326', 'epoch': '0.2682'} + 83%|████████████████████████▊ | 7455/9000 [6:24:47<1:11:08, 2.76s/it][Dataset] cur_step=7456 phase=D_mixed_covt +[Dataset] cur_step=7456 phase=D_mixed_covt + 83%|████████████████████████▊ | 7456/9000 [6:24:49<1:26:15, 3.35s/it][Dataset] cur_step=7456 phase=D_mixed_covt +[Dataset] cur_step=7456 phase=D_mixed_covt +[Dataset] cur_step=7456 phase=D_mixed_covt +[Dataset] cur_step=7456 phase=D_mixed_covt +[Dataset] cur_step=7456 phase=D_mixed_covt +[Dataset] cur_step=7456 phase=D_mixed_covt + {'loss': '3.111', 'grad_norm': '2.844', 'learning_rate': '3.916e-06', 'epoch': '0.2682'} + 83%|████████████████████████▊ | 7456/9000 [6:24:49<1:26:15, 3.35s/it] {'lm_loss': '0.3503', 'visual_loss': '2.835', 'seg_loss': '0.7869', 'dino_loss': '0.9497', 'depth_loss': '0.2631', 'vggt_mse_loss': '0.2611', 'vggt_cos_loss': '0.01987', 'pidinet_loss': '0.2921', 'siglip_loss': '0.5428', 'epoch': '0.2682'} + 83%|████████████████████████▊ | 7456/9000 [6:24:52<1:26:15, 3.35s/it][Dataset] cur_step=7457 phase=D_mixed_covt +[Dataset] cur_step=7457 phase=D_mixed_covt +[Dataset] cur_step=7457 phase=D_mixed_covt +[Dataset] cur_step=7457 phase=D_mixed_covt +[Dataset] cur_step=7457 phase=D_mixed_covt +[Dataset] cur_step=7457 phase=D_mixed_covt +[Dataset] cur_step=7457 phase=D_mixed_covt[Dataset] cur_step=7457 phase=D_mixed_covt + + 83%|████████████████████████▊ | 7457/9000 [6:24:53<1:26:02, 3.35s/it] {'loss': '3.151', 'grad_norm': '2.636', 'learning_rate': '3.912e-06', 'epoch': '0.2683'} + 83%|████████████████████████▊ | 7457/9000 [6:24:53<1:26:02, 3.35s/it] {'lm_loss': '0.5419', 'visual_loss': '2.366', 'seg_loss': '0.4677', 'dino_loss': '0.9374', 'depth_loss': '0.2084', 'vggt_mse_loss': '0.2072', 'vggt_cos_loss': '0.01241', 'pidinet_loss': '0.2238', 'siglip_loss': '0.529', 'epoch': '0.2683'} + 83%|████████████████████████▊ | 7457/9000 [6:24:55<1:26:02, 3.35s/it][Dataset] cur_step=7458 phase=D_mixed_covt +[Dataset] cur_step=7458 phase=D_mixed_covt +[Dataset] cur_step=7458 phase=D_mixed_covt 83%|████████████████████████▊ | 7458/9000 [6:24:56<1:22:57, 3.23s/it][Dataset] cur_step=7458 phase=D_mixed_covt + +[Dataset] cur_step=7458 phase=D_mixed_covt +[Dataset] cur_step=7458 phase=D_mixed_covt +[Dataset] cur_step=7458 phase=D_mixed_covt +[Dataset] cur_step=7458 phase=D_mixed_covt + {'loss': '3.227', 'grad_norm': '2.821', 'learning_rate': '3.907e-06', 'epoch': '0.2683'} + 83%|████████████████████████▊ | 7458/9000 [6:24:56<1:22:57, 3.23s/it] {'lm_loss': '1.312', 'visual_loss': '2.333', 'seg_loss': '0.6365', 'dino_loss': '0.915', 'depth_loss': '0.1761', 'vggt_mse_loss': '0.1751', 'vggt_cos_loss': '0.009523', 'pidinet_loss': '0.256', 'siglip_loss': '0.3497', 'epoch': '0.2683'} + 83%|████████████████████████▊ | 7458/9000 [6:24:58<1:22:57, 3.23s/it][Dataset] cur_step=7459 phase=D_mixed_covt + 83%|████████████████████████▊ | 7459/9000 [6:24:58<1:18:02, 3.04s/it][Dataset] cur_step=7459 phase=D_mixed_covt +[Dataset] cur_step=7459 phase=D_mixed_covt[Dataset] cur_step=7459 phase=D_mixed_covt[Dataset] cur_step=7459 phase=D_mixed_covt + + +[Dataset] cur_step=7459 phase=D_mixed_covt +[Dataset] cur_step=7459 phase=D_mixed_covt +[Dataset] cur_step=7459 phase=D_mixed_covt + {'loss': '3.143', 'grad_norm': '2.818', 'learning_rate': '3.902e-06', 'epoch': '0.2683'} + 83%|████████████████████████▊ | 7459/9000 [6:24:58<1:18:02, 3.04s/it] {'lm_loss': '1.27', 'visual_loss': '0.7535', 'seg_loss': '0', 'dino_loss': '0', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2253', 'siglip_loss': '0.5282', 'epoch': '0.2683'} + 83%|████████████████████████▊ | 7459/9000 [6:24:59<1:18:02, 3.04s/it][Dataset] cur_step=7460 phase=D_mixed_covt +[Dataset] cur_step=7460 phase=D_mixed_covt +[Dataset] cur_step=7460 phase=D_mixed_covt +[Dataset] cur_step=7460 phase=D_mixed_covt[Dataset] cur_step=7460 phase=D_mixed_covt + + 83%|████████████████████████▊ | 7460/9000 [6:24:59<1:02:19, 2.43s/it][Dataset] cur_step=7460 phase=D_mixed_covt[Dataset] cur_step=7460 phase=D_mixed_covt + +[Dataset] cur_step=7460 phase=D_mixed_covt + {'loss': '1.559', 'grad_norm': '3.056', 'learning_rate': '3.897e-06', 'epoch': '0.2684'} + 83%|████████████████████████▊ | 7460/9000 [6:24:59<1:02:19, 2.43s/it] {'lm_loss': '0.7429', 'visual_loss': '2.406', 'seg_loss': '0.5509', 'dino_loss': '0.9059', 'depth_loss': '0.2246', 'vggt_mse_loss': '0.2231', 'vggt_cos_loss': '0.01541', 'pidinet_loss': '0.2823', 'siglip_loss': '0.4424', 'epoch': '0.2684'} + 83%|████████████████████████▊ | 7460/9000 [6:25:01<1:02:19, 2.43s/it][Dataset] cur_step=7461 phase=D_mixed_covt +[Dataset] cur_step=7461 phase=D_mixed_covt +[Dataset] cur_step=7461 phase=D_mixed_covt +[Dataset] cur_step=7461 phase=D_mixed_covt +[Dataset] cur_step=7461 phase=D_mixed_covt[Dataset] cur_step=7461 phase=D_mixed_covt + + 83%|██████████████████████████▌ | 7461/9000 [6:25:01<58:20, 2.27s/it][Dataset] cur_step=7461 phase=D_mixed_covt +[Dataset] cur_step=7461 phase=D_mixed_covt + {'loss': '3.352', 'grad_norm': '5.565', 'learning_rate': '3.892e-06', 'epoch': '0.2684'} + 83%|██████████████████████████▌ | 7461/9000 [6:25:01<58:20, 2.27s/it] {'lm_loss': '0.8553', 'visual_loss': '2.601', 'seg_loss': '0.7542', 'dino_loss': '0.9123', 'depth_loss': '0.2276', 'vggt_mse_loss': '0.2261', 'vggt_cos_loss': '0.01536', 'pidinet_loss': '0.2239', 'siglip_loss': '0.4831', 'epoch': '0.2684'} + 83%|██████████████████████████▌ | 7461/9000 [6:25:03<58:20, 2.27s/it][Dataset] cur_step=7462 phase=D_mixed_covt +[Dataset] cur_step=7462 phase=D_mixed_covt +[Dataset] cur_step=7462 phase=D_mixed_covt 83%|████████████████████████▊ | 7462/9000 [6:25:06<1:15:25, 2.94s/it] +[Dataset] cur_step=7462 phase=D_mixed_covt +[Dataset] cur_step=7462 phase=D_mixed_covt +[Dataset] cur_step=7462 phase=D_mixed_covt +[Dataset] cur_step=7462 phase=D_mixed_covt[Dataset] cur_step=7462 phase=D_mixed_covt + + {'loss': '3.352', 'grad_norm': '2.241', 'learning_rate': '3.887e-06', 'epoch': '0.2684'} + 83%|████████████████████████▊ | 7462/9000 [6:25:06<1:15:25, 2.94s/it] {'lm_loss': '0.6113', 'visual_loss': '2.838', 'seg_loss': '0.7502', 'dino_loss': '0.9045', 'depth_loss': '0.307', 'vggt_mse_loss': '0.3044', 'vggt_cos_loss': '0.02551', 'pidinet_loss': '0.2682', 'siglip_loss': '0.6081', 'epoch': '0.2684'} + 83%|████████████████████████▊ | 7462/9000 [6:25:08<1:15:25, 2.94s/it][Dataset] cur_step=7463 phase=D_mixed_covt +[Dataset] cur_step=7463 phase=D_mixed_covt +[Dataset] cur_step=7463 phase=D_mixed_covt +[Dataset] cur_step=7463 phase=D_mixed_covt +[Dataset] cur_step=7463 phase=D_mixed_covt + 83%|████████████████████████▉ | 7463/9000 [6:25:09<1:21:26, 3.18s/it][Dataset] cur_step=7463 phase=D_mixed_covt[Dataset] cur_step=7463 phase=D_mixed_covt + +[Dataset] cur_step=7463 phase=D_mixed_covt + {'loss': '2.953', 'grad_norm': '4.219', 'learning_rate': '3.882e-06', 'epoch': '0.2685'} + 83%|████████████████████████▉ | 7463/9000 [6:25:09<1:21:26, 3.18s/it] {'lm_loss': '0.8873', 'visual_loss': '2.69', 'seg_loss': '0.7186', 'dino_loss': '0.9065', 'depth_loss': '0.2674', 'vggt_mse_loss': '0.2658', 'vggt_cos_loss': '0.01624', 'pidinet_loss': '0.2329', 'siglip_loss': '0.5645', 'epoch': '0.2685'} + 83%|████████████████████████▉ | 7463/9000 [6:25:11<1:21:26, 3.18s/it][Dataset] cur_step=7464 phase=D_mixed_covt +[Dataset] cur_step=7464 phase=D_mixed_covt +[Dataset] cur_step=7464 phase=D_mixed_covt[Dataset] cur_step=7464 phase=D_mixed_covt +[Dataset] cur_step=7464 phase=D_mixed_covt + +[Dataset] cur_step=7464 phase=D_mixed_covt +[Dataset] cur_step=7464 phase=D_mixed_covt 83%|████████████████████████▉ | 7464/9000 [6:25:12<1:16:44, 3.00s/it] +[Dataset] cur_step=7464 phase=D_mixed_covt + {'loss': '3.574', 'grad_norm': '3.561', 'learning_rate': '3.877e-06', 'epoch': '0.2685'} + 83%|████████████████████████▉ | 7464/9000 [6:25:12<1:16:44, 3.00s/it] {'lm_loss': '0.4176', 'visual_loss': '2.908', 'seg_loss': '0.6723', 'dino_loss': '0.8857', 'depth_loss': '0.1837', 'vggt_mse_loss': '0.1826', 'vggt_cos_loss': '0.01088', 'pidinet_loss': '0.232', 'siglip_loss': '0.934', 'epoch': '0.2685'} + 83%|████████████████████████▉ | 7464/9000 [6:25:15<1:16:44, 3.00s/it][Dataset] cur_step=7465 phase=D_mixed_covt[Dataset] cur_step=7465 phase=D_mixed_covt[Dataset] cur_step=7465 phase=D_mixed_covt + + +[Dataset] cur_step=7465 phase=D_mixed_covt[Dataset] cur_step=7465 phase=D_mixed_covt + + 83%|████████████████████████▉ | 7465/9000 [6:25:16<1:24:32, 3.30s/it][Dataset] cur_step=7465 phase=D_mixed_covt +[Dataset] cur_step=7465 phase=D_mixed_covt +[Dataset] cur_step=7465 phase=D_mixed_covt + {'loss': '3.376', 'grad_norm': '5.828', 'learning_rate': '3.872e-06', 'epoch': '0.2686'} + 83%|████████████████████████▉ | 7465/9000 [6:25:16<1:24:32, 3.30s/it] {'lm_loss': '0.7887', 'visual_loss': '2.88', 'seg_loss': '0.7071', 'dino_loss': '0.9378', 'depth_loss': '0.2828', 'vggt_mse_loss': '0.281', 'vggt_cos_loss': '0.01801', 'pidinet_loss': '0.1912', 'siglip_loss': '0.7606', 'epoch': '0.2686'} + 83%|████████████████████████▉ | 7465/9000 [6:25:17<1:24:32, 3.30s/it][Dataset] cur_step=7466 phase=D_mixed_covt +[Dataset] cur_step=7466 phase=D_mixed_covt +[Dataset] cur_step=7466 phase=D_mixed_covt[Dataset] cur_step=7466 phase=D_mixed_covt + +[Dataset] cur_step=7466 phase=D_mixed_covt +[Dataset] cur_step=7466 phase=D_mixed_covt + 83%|████████████████████████▉ | 7466/9000 [6:25:18<1:13:35, 2.88s/it][Dataset] cur_step=7466 phase=D_mixed_covt +[Dataset] cur_step=7466 phase=D_mixed_covt + {'loss': '3.353', 'grad_norm': '4.745', 'learning_rate': '3.867e-06', 'epoch': '0.2686'} + 83%|████████████████████████▉ | 7466/9000 [6:25:18<1:13:35, 2.88s/it] {'lm_loss': '1.135', 'visual_loss': '2.012', 'seg_loss': '0.6436', 'dino_loss': '0.8864', 'depth_loss': '0.2405', 'vggt_mse_loss': '0.2387', 'vggt_cos_loss': '0.01804', 'pidinet_loss': '0.2416', 'siglip_loss': '0', 'epoch': '0.2686'} + 83%|████████████████████████▉ | 7466/9000 [6:25:20<1:13:35, 2.88s/it][Dataset] cur_step=7467 phase=D_mixed_covt +[Dataset] cur_step=7467 phase=D_mixed_covt + 83%|████████████████████████▉ | 7467/9000 [6:25:20<1:12:09, 2.82s/it][Dataset] cur_step=7467 phase=D_mixed_covt[Dataset] cur_step=7467 phase=D_mixed_covt +[Dataset] cur_step=7467 phase=D_mixed_covt + +[Dataset] cur_step=7467 phase=D_mixed_covt +[Dataset] cur_step=7467 phase=D_mixed_covt +[Dataset] cur_step=7467 phase=D_mixed_covt + {'loss': '2.502', 'grad_norm': '3.66', 'learning_rate': '3.862e-06', 'epoch': '0.2686'} + 83%|████████████████████████▉ | 7467/9000 [6:25:20<1:12:09, 2.82s/it] {'lm_loss': '0.7198', 'visual_loss': '2.939', 'seg_loss': '0.7842', 'dino_loss': '0.9013', 'depth_loss': '0.3651', 'vggt_mse_loss': '0.3615', 'vggt_cos_loss': '0.03599', 'pidinet_loss': '0.1956', 'siglip_loss': '0.6929', 'epoch': '0.2686'} + 83%|████████████████████████▉ | 7467/9000 [6:25:22<1:12:09, 2.82s/it][Dataset] cur_step=7468 phase=D_mixed_covt +[Dataset] cur_step=7468 phase=D_mixed_covt +[Dataset] cur_step=7468 phase=D_mixed_covt + 83%|████████████████████████▉ | 7468/9000 [6:25:25<1:27:24, 3.42s/it][Dataset] cur_step=7468 phase=D_mixed_covt +[Dataset] cur_step=7468 phase=D_mixed_covt +[Dataset] cur_step=7468 phase=D_mixed_covt +[Dataset] cur_step=7468 phase=D_mixed_covt +[Dataset] cur_step=7468 phase=D_mixed_covt + {'loss': '3.483', 'grad_norm': '2.725', 'learning_rate': '3.857e-06', 'epoch': '0.2687'} + 83%|████████████████████████▉ | 7468/9000 [6:25:25<1:27:24, 3.42s/it] {'lm_loss': '0.4067', 'visual_loss': '2.409', 'seg_loss': '0.6811', 'dino_loss': '0.8453', 'depth_loss': '0.4082', 'vggt_mse_loss': '0.4043', 'vggt_cos_loss': '0.03955', 'pidinet_loss': '0.06218', 'siglip_loss': '0.4119', 'epoch': '0.2687'} + 83%|████████████████████████▉ | 7468/9000 [6:25:30<1:27:24, 3.42s/it][Dataset] cur_step=7469 phase=D_mixed_covt +[Dataset] cur_step=7469 phase=D_mixed_covt +[Dataset] cur_step=7469 phase=D_mixed_covt +[Dataset] cur_step=7469 phase=D_mixed_covt +[Dataset] cur_step=7469 phase=D_mixed_covt +[Dataset] cur_step=7469 phase=D_mixed_covt +[Dataset] cur_step=7469 phase=D_mixed_covt +[Dataset] cur_step=7469 phase=D_mixed_covt + 83%|████████████████████████▉ | 7469/9000 [6:25:30<1:39:03, 3.88s/it] {'loss': '3.278', 'grad_norm': '3.569', 'learning_rate': '3.853e-06', 'epoch': '0.2687'} + 83%|████████████████████████▉ | 7469/9000 [6:25:30<1:39:03, 3.88s/it] {'lm_loss': '0.4818', 'visual_loss': '2.588', 'seg_loss': '0.5618', 'dino_loss': '0.947', 'depth_loss': '0.1452', 'vggt_mse_loss': '0.1445', 'vggt_cos_loss': '0.007541', 'pidinet_loss': '0.2436', 'siglip_loss': '0.6902', 'epoch': '0.2687'} + 83%|████████████████████████▉ | 7469/9000 [6:25:32<1:39:03, 3.88s/it][Dataset] cur_step=7470 phase=D_mixed_covt[Dataset] cur_step=7470 phase=D_mixed_covt + +[Dataset] cur_step=7470 phase=D_mixed_covt +[Dataset] cur_step=7470 phase=D_mixed_covt +[Dataset] cur_step=7470 phase=D_mixed_covt 83%|████████████████████████▉ | 7470/9000 [6:25:35<1:42:51, 4.03s/it] +[Dataset] cur_step=7470 phase=D_mixed_covt[Dataset] cur_step=7470 phase=D_mixed_covt + +[Dataset] cur_step=7470 phase=D_mixed_covt + {'loss': '3.041', 'grad_norm': '3.984', 'learning_rate': '3.848e-06', 'epoch': '0.2687'} + 83%|████████████████████████▉ | 7470/9000 [6:25:35<1:42:51, 4.03s/it] {'lm_loss': '0.9686', 'visual_loss': '2.565', 'seg_loss': '0.7392', 'dino_loss': '0.9009', 'depth_loss': '0.2296', 'vggt_mse_loss': '0.228', 'vggt_cos_loss': '0.01571', 'pidinet_loss': '0.2811', 'siglip_loss': '0.4138', 'epoch': '0.2687'} + 83%|████████████████████████▉ | 7470/9000 [6:25:37<1:42:51, 4.03s/it][Dataset] cur_step=7471 phase=D_mixed_covt +[Dataset] cur_step=7471 phase=D_mixed_covt +[Dataset] cur_step=7471 phase=D_mixed_covt[Dataset] cur_step=7471 phase=D_mixed_covt + +[Dataset] cur_step=7471 phase=D_mixed_covt + 83%|████████████████████████▉ | 7471/9000 [6:25:38<1:37:54, 3.84s/it][Dataset] cur_step=7471 phase=D_mixed_covt[Dataset] cur_step=7471 phase=D_mixed_covt + +[Dataset] cur_step=7471 phase=D_mixed_covt + {'loss': '3.216', 'grad_norm': '6.628', 'learning_rate': '3.843e-06', 'epoch': '0.2688'} + 83%|████████████████████████▉ | 7471/9000 [6:25:38<1:37:54, 3.84s/it] {'lm_loss': '0.5854', 'visual_loss': '1.849', 'seg_loss': '0.904', 'dino_loss': '0.9446', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0', 'siglip_loss': '0', 'epoch': '0.2688'} + 83%|████████████████████████▉ | 7471/9000 [6:25:39<1:37:54, 3.84s/it][Dataset] cur_step=7472 phase=D_mixed_covt +[Dataset] cur_step=7472 phase=D_mixed_covt +[Dataset] cur_step=7472 phase=D_mixed_covt +[Dataset] cur_step=7472 phase=D_mixed_covt[Dataset] cur_step=7472 phase=D_mixed_covt + +[Dataset] cur_step=7472 phase=D_mixed_covt +[Dataset] cur_step=7472 phase=D_mixed_covt +[Dataset] cur_step=7472 phase=D_mixed_covt + 83%|████████████████████████▉ | 7472/9000 [6:25:40<1:20:07, 3.15s/it] {'loss': '2.63', 'grad_norm': '4.231', 'learning_rate': '3.838e-06', 'epoch': '0.2688'} + 83%|████████████████████████▉ | 7472/9000 [6:25:40<1:20:07, 3.15s/it] {'lm_loss': '0.6887', 'visual_loss': '2.25', 'seg_loss': '0.6986', 'dino_loss': '0.8638', 'depth_loss': '0.1915', 'vggt_mse_loss': '0.1904', 'vggt_cos_loss': '0.01058', 'pidinet_loss': '0.133', 'siglip_loss': '0.3628', 'epoch': '0.2688'} + 83%|████████████████████████▉ | 7472/9000 [6:25:43<1:20:07, 3.15s/it][Dataset] cur_step=7473 phase=D_mixed_covt +[Dataset] cur_step=7473 phase=D_mixed_covt +[Dataset] cur_step=7473 phase=D_mixed_covt 83%|████████████████████████▉ | 7473/9000 [6:25:43<1:22:21, 3.24s/it] +[Dataset] cur_step=7473 phase=D_mixed_covt +[Dataset] cur_step=7473 phase=D_mixed_covt +[Dataset] cur_step=7473 phase=D_mixed_covt +[Dataset] cur_step=7473 phase=D_mixed_covt +[Dataset] cur_step=7473 phase=D_mixed_covt + {'loss': '3.041', 'grad_norm': '2.437', 'learning_rate': '3.833e-06', 'epoch': '0.2688'} + 83%|████████████████████████▉ | 7473/9000 [6:25:43<1:22:21, 3.24s/it] {'lm_loss': '0.06848', 'visual_loss': '2.415', 'seg_loss': '0.3442', 'dino_loss': '0.8887', 'depth_loss': '0.2177', 'vggt_mse_loss': '0.216', 'vggt_cos_loss': '0.01653', 'pidinet_loss': '0.3404', 'siglip_loss': '0.6245', 'epoch': '0.2688'} + 83%|████████████████████████▉ | 7473/9000 [6:25:45<1:22:21, 3.24s/it][Dataset] cur_step=7474 phase=D_mixed_covt +[Dataset] cur_step=7474 phase=D_mixed_covt + 83%|████████████████████████▉ | 7474/9000 [6:25:46<1:18:30, 3.09s/it][Dataset] cur_step=7474 phase=D_mixed_covt +[Dataset] cur_step=7474 phase=D_mixed_covt +[Dataset] cur_step=7474 phase=D_mixed_covt +[Dataset] cur_step=7474 phase=D_mixed_covt +[Dataset] cur_step=7474 phase=D_mixed_covt +[Dataset] cur_step=7474 phase=D_mixed_covt + {'loss': '3.281', 'grad_norm': '2.782', 'learning_rate': '3.828e-06', 'epoch': '0.2689'} + 83%|████████████████████████▉ | 7474/9000 [6:25:46<1:18:30, 3.09s/it] {'lm_loss': '0.7438', 'visual_loss': '3.053', 'seg_loss': '0.7317', 'dino_loss': '0.9185', 'depth_loss': '0.4607', 'vggt_mse_loss': '0.4569', 'vggt_cos_loss': '0.03776', 'pidinet_loss': '0.251', 'siglip_loss': '0.691', 'epoch': '0.2689'} + 83%|████████████████████████▉ | 7474/9000 [6:25:48<1:18:30, 3.09s/it][Dataset] cur_step=7475 phase=D_mixed_covt +[Dataset] cur_step=7475 phase=D_mixed_covt +[Dataset] cur_step=7475 phase=D_mixed_covt +[Dataset] cur_step=7475 phase=D_mixed_covt + 83%|████████████████████████▉ | 7475/9000 [6:25:48<1:13:15, 2.88s/it][Dataset] cur_step=7475 phase=D_mixed_covt +[Dataset] cur_step=7475 phase=D_mixed_covt +[Dataset] cur_step=7475 phase=D_mixed_covt +[Dataset] cur_step=7475 phase=D_mixed_covt + {'loss': '3.429', 'grad_norm': '3.595', 'learning_rate': '3.823e-06', 'epoch': '0.2689'} + 83%|████████████████████████▉ | 7475/9000 [6:25:48<1:13:15, 2.88s/it] {'lm_loss': '0.701', 'visual_loss': '2.673', 'seg_loss': '0.7095', 'dino_loss': '0.894', 'depth_loss': '0.2056', 'vggt_mse_loss': '0.2044', 'vggt_cos_loss': '0.01197', 'pidinet_loss': '0.247', 'siglip_loss': '0.6173', 'epoch': '0.2689'} + 83%|████████████████████████▉ | 7475/9000 [6:25:51<1:13:15, 2.88s/it][Dataset] cur_step=7476 phase=D_mixed_covt +[Dataset] cur_step=7476 phase=D_mixed_covt +[Dataset] cur_step=7476 phase=D_mixed_covt +[Dataset] cur_step=7476 phase=D_mixed_covt +[Dataset] cur_step=7476 phase=D_mixed_covt +[Dataset] cur_step=7476 phase=D_mixed_covt +[Dataset] cur_step=7476 phase=D_mixed_covt +[Dataset] cur_step=7476 phase=D_mixed_covt + 83%|████████████████████████▉ | 7476/9000 [6:25:52<1:18:02, 3.07s/it] {'loss': '3.098', 'grad_norm': '2.472', 'learning_rate': '3.818e-06', 'epoch': '0.2689'} + 83%|████████████████████████▉ | 7476/9000 [6:25:52<1:18:02, 3.07s/it] {'lm_loss': '0.5324', 'visual_loss': '2.609', 'seg_loss': '0.7931', 'dino_loss': '0.903', 'depth_loss': '0.2346', 'vggt_mse_loss': '0.2329', 'vggt_cos_loss': '0.01649', 'pidinet_loss': '0.2725', 'siglip_loss': '0.406', 'epoch': '0.2689'} + 83%|████████████████████████▉ | 7476/9000 [6:25:53<1:18:02, 3.07s/it][Dataset] cur_step=7477 phase=D_mixed_covt +[Dataset] cur_step=7477 phase=D_mixed_covt +[Dataset] cur_step=7477 phase=D_mixed_covt[Dataset] cur_step=7477 phase=D_mixed_covt + +[Dataset] cur_step=7477 phase=D_mixed_covt 83%|████████████████████████▉ | 7477/9000 [6:25:53<1:08:37, 2.70s/it] +[Dataset] cur_step=7477 phase=D_mixed_covt +[Dataset] cur_step=7477 phase=D_mixed_covt +[Dataset] cur_step=7477 phase=D_mixed_covt + {'loss': '3.458', 'grad_norm': '3.799', 'learning_rate': '3.813e-06', 'epoch': '0.269'} + 83%|████████████████████████▉ | 7477/9000 [6:25:53<1:08:37, 2.70s/it] {'lm_loss': '0.104', 'visual_loss': '2.258', 'seg_loss': '0.5766', 'dino_loss': '0.8687', 'depth_loss': '0.2299', 'vggt_mse_loss': '0.2282', 'vggt_cos_loss': '0.01694', 'pidinet_loss': '0', 'siglip_loss': '0.5831', 'epoch': '0.269'} + 83%|████████████████████████▉ | 7477/9000 [6:25:56<1:08:37, 2.70s/it][Dataset] cur_step=7478 phase=D_mixed_covt +[Dataset] cur_step=7478 phase=D_mixed_covt +[Dataset] cur_step=7478 phase=D_mixed_covt +[Dataset] cur_step=7478 phase=D_mixed_covt +[Dataset] cur_step=7478 phase=D_mixed_covt[Dataset] cur_step=7478 phase=D_mixed_covt + +[Dataset] cur_step=7478 phase=D_mixed_covt + 83%|████████████████████████▉ | 7478/9000 [6:25:57<1:15:17, 2.97s/it][Dataset] cur_step=7478 phase=D_mixed_covt + {'loss': '2.88', 'grad_norm': '3.639', 'learning_rate': '3.809e-06', 'epoch': '0.269'} + 83%|████████████████████████▉ | 7478/9000 [6:25:57<1:15:17, 2.97s/it] {'lm_loss': '0.4761', 'visual_loss': '2.353', 'seg_loss': '0.6875', 'dino_loss': '0.9203', 'depth_loss': '0.1952', 'vggt_mse_loss': '0.1941', 'vggt_cos_loss': '0.01126', 'pidinet_loss': '0', 'siglip_loss': '0.5499', 'epoch': '0.269'} + 83%|████████████████████████▉ | 7478/9000 [6:25:59<1:15:17, 2.97s/it][Dataset] cur_step=7479 phase=D_mixed_covt +[Dataset] cur_step=7479 phase=D_mixed_covt +[Dataset] cur_step=7479 phase=D_mixed_covt +[Dataset] cur_step=7479 phase=D_mixed_covt[Dataset] cur_step=7479 phase=D_mixed_covt + +[Dataset] cur_step=7479 phase=D_mixed_covt[Dataset] cur_step=7479 phase=D_mixed_covt + +[Dataset] cur_step=7479 phase=D_mixed_covt + 83%|████████████████████████▉ | 7479/9000 [6:26:00<1:18:24, 3.09s/it] {'loss': '2.922', 'grad_norm': '3.766', 'learning_rate': '3.804e-06', 'epoch': '0.2691'} + 83%|████████████████████████▉ | 7479/9000 [6:26:00<1:18:24, 3.09s/it] {'lm_loss': '0.9955', 'visual_loss': '2.578', 'seg_loss': '0.8063', 'dino_loss': '0.8981', 'depth_loss': '0.2347', 'vggt_mse_loss': '0.2331', 'vggt_cos_loss': '0.01594', 'pidinet_loss': '0.2445', 'siglip_loss': '0.3946', 'epoch': '0.2691'} + 83%|████████████████████████▉ | 7479/9000 [6:26:02<1:18:24, 3.09s/it][Dataset] cur_step=7480 phase=D_mixed_covt +[Dataset] cur_step=7480 phase=D_mixed_covt[Dataset] cur_step=7480 phase=D_mixed_covt + +[Dataset] cur_step=7480 phase=D_mixed_covt +[Dataset] cur_step=7480 phase=D_mixed_covt +[Dataset] cur_step=7480 phase=D_mixed_covt 83%|████████████████████████▉ | 7480/9000 [6:26:02<1:08:48, 2.72s/it] +[Dataset] cur_step=7480 phase=D_mixed_covt +[Dataset] cur_step=7480 phase=D_mixed_covt + {'loss': '3.145', 'grad_norm': '4.026', 'learning_rate': '3.799e-06', 'epoch': '0.2691'} + 83%|████████████████████████▉ | 7480/9000 [6:26:02<1:08:48, 2.72s/it] {'lm_loss': '0.9813', 'visual_loss': '2.009', 'seg_loss': '0.6186', 'dino_loss': '0.8708', 'depth_loss': '0.1816', 'vggt_mse_loss': '0.1802', 'vggt_cos_loss': '0.01416', 'pidinet_loss': '0.3379', 'siglip_loss': '0', 'epoch': '0.2691'} + 83%|████████████████████████▉ | 7480/9000 [6:26:04<1:08:48, 2.72s/it][Dataset] cur_step=7481 phase=D_mixed_covt +[Dataset] cur_step=7481 phase=D_mixed_covt +[Dataset] cur_step=7481 phase=D_mixed_covt +[Dataset] cur_step=7481 phase=D_mixed_covt +[Dataset] cur_step=7481 phase=D_mixed_covt +[Dataset] cur_step=7481 phase=D_mixed_covt + 83%|████████████████████████▉ | 7481/9000 [6:26:06<1:12:44, 2.87s/it][Dataset] cur_step=7481 phase=D_mixed_covt +[Dataset] cur_step=7481 phase=D_mixed_covt + {'loss': '2.888', 'grad_norm': '3.818', 'learning_rate': '3.794e-06', 'epoch': '0.2691'} + 83%|████████████████████████▉ | 7481/9000 [6:26:06<1:12:44, 2.87s/it] {'lm_loss': '0.06318', 'visual_loss': '2.28', 'seg_loss': '0.5964', 'dino_loss': '0.8799', 'depth_loss': '0.2441', 'vggt_mse_loss': '0.2425', 'vggt_cos_loss': '0.01608', 'pidinet_loss': '0.2312', 'siglip_loss': '0.3283', 'epoch': '0.2691'} + 83%|████████████████████████▉ | 7481/9000 [6:26:08<1:12:44, 2.87s/it][Dataset] cur_step=7482 phase=D_mixed_covt +[Dataset] cur_step=7482 phase=D_mixed_covt +[Dataset] cur_step=7482 phase=D_mixed_covt +[Dataset] cur_step=7482 phase=D_mixed_covt + 83%|████████████████████████▉ | 7482/9000 [6:26:08<1:11:47, 2.84s/it][Dataset] cur_step=7482 phase=D_mixed_covt +[Dataset] cur_step=7482 phase=D_mixed_covt +[Dataset] cur_step=7482 phase=D_mixed_covt +[Dataset] cur_step=7482 phase=D_mixed_covt + {'loss': '3.067', 'grad_norm': '3.393', 'learning_rate': '3.789e-06', 'epoch': '0.2692'} + 83%|████████████████████████▉ | 7482/9000 [6:26:08<1:11:47, 2.84s/it] {'lm_loss': '0.7358', 'visual_loss': '1.711', 'seg_loss': '0', 'dino_loss': '0.9402', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.263', 'siglip_loss': '0.5082', 'epoch': '0.2692'} + 83%|████████████████████████▉ | 7482/9000 [6:26:09<1:11:47, 2.84s/it][Dataset] cur_step=7483 phase=D_mixed_covt +[Dataset] cur_step=7483 phase=D_mixed_covt +[Dataset] cur_step=7483 phase=D_mixed_covt +[Dataset] cur_step=7483 phase=D_mixed_covt +[Dataset] cur_step=7483 phase=D_mixed_covt +[Dataset] cur_step=7483 phase=D_mixed_covt + 83%|██████████████████████████▌ | 7483/9000 [6:26:09<56:48, 2.25s/it][Dataset] cur_step=7483 phase=D_mixed_covt +[Dataset] cur_step=7483 phase=D_mixed_covt + {'loss': '2.599', 'grad_norm': '2.89', 'learning_rate': '3.784e-06', 'epoch': '0.2692'} + 83%|██████████████████████████▌ | 7483/9000 [6:26:09<56:48, 2.25s/it] {'lm_loss': '0.5926', 'visual_loss': '1.684', 'seg_loss': '0', 'dino_loss': '0.9024', 'depth_loss': '0.2751', 'vggt_mse_loss': '0.2728', 'vggt_cos_loss': '0.02296', 'pidinet_loss': '0.1711', 'siglip_loss': '0.3356', 'epoch': '0.2692'} + 83%|██████████████████████████▌ | 7483/9000 [6:26:10<56:48, 2.25s/it][Dataset] cur_step=7484 phase=D_mixed_covt +[Dataset] cur_step=7484 phase=D_mixed_covt +[Dataset] cur_step=7484 phase=D_mixed_covt[Dataset] cur_step=7484 phase=D_mixed_covt + + 83%|██████████████████████████▌ | 7484/9000 [6:26:10<47:26, 1.88s/it][Dataset] cur_step=7484 phase=D_mixed_covt +[Dataset] cur_step=7484 phase=D_mixed_covt +[Dataset] cur_step=7484 phase=D_mixed_covt[Dataset] cur_step=7484 phase=D_mixed_covt + + {'loss': '2.519', 'grad_norm': '2.209', 'learning_rate': '3.779e-06', 'epoch': '0.2692'} + 83%|██████████████████████████▌ | 7484/9000 [6:26:10<47:26, 1.88s/it] {'lm_loss': '0.5793', 'visual_loss': '2.65', 'seg_loss': '0.8704', 'dino_loss': '0.9236', 'depth_loss': '0.2055', 'vggt_mse_loss': '0.2033', 'vggt_cos_loss': '0.02165', 'pidinet_loss': '0.2057', 'siglip_loss': '0.4443', 'epoch': '0.2692'} + 83%|██████████████████████████▌ | 7484/9000 [6:26:11<47:26, 1.88s/it][Dataset] cur_step=7485 phase=D_mixed_covt +[Dataset] cur_step=7485 phase=D_mixed_covt +[Dataset] cur_step=7485 phase=D_mixed_covt +[Dataset] cur_step=7485 phase=D_mixed_covt +[Dataset] cur_step=7485 phase=D_mixed_covt +[Dataset] cur_step=7485 phase=D_mixed_covt +[Dataset] cur_step=7485 phase=D_mixed_covt 83%|██████████████████████████▌ | 7485/9000 [6:26:12<48:06, 1.90s/it][Dataset] cur_step=7485 phase=D_mixed_covt + + {'loss': '3.159', 'grad_norm': '2.56', 'learning_rate': '3.774e-06', 'epoch': '0.2693'} + 83%|██████████████████████████▌ | 7485/9000 [6:26:12<48:06, 1.90s/it] {'lm_loss': '0.6841', 'visual_loss': '2.696', 'seg_loss': '0.7111', 'dino_loss': '0.9188', 'depth_loss': '0.2083', 'vggt_mse_loss': '0.2067', 'vggt_cos_loss': '0.01599', 'pidinet_loss': '0.1782', 'siglip_loss': '0.6793', 'epoch': '0.2693'} + 83%|██████████████████████████▌ | 7485/9000 [6:26:14<48:06, 1.90s/it][Dataset] cur_step=7486 phase=D_mixed_covt +[Dataset] cur_step=7486 phase=D_mixed_covt +[Dataset] cur_step=7486 phase=D_mixed_covt +[Dataset] cur_step=7486 phase=D_mixed_covt +[Dataset] cur_step=7486 phase=D_mixed_covt +[Dataset] cur_step=7486 phase=D_mixed_covt +[Dataset] cur_step=7486 phase=D_mixed_covt +[Dataset] cur_step=7486 phase=D_mixed_covt + 83%|██████████████████████████▌ | 7486/9000 [6:26:14<50:33, 2.00s/it] {'loss': '3.138', 'grad_norm': '3.136', 'learning_rate': '3.77e-06', 'epoch': '0.2693'} + 83%|██████████████████████████▌ | 7486/9000 [6:26:14<50:33, 2.00s/it] {'lm_loss': '0.7658', 'visual_loss': '2.472', 'seg_loss': '0.7221', 'dino_loss': '0.9197', 'depth_loss': '0.2351', 'vggt_mse_loss': '0.2332', 'vggt_cos_loss': '0.01888', 'pidinet_loss': '0.1955', 'siglip_loss': '0.3998', 'epoch': '0.2693'} + 83%|██████████████████████████▌ | 7486/9000 [6:26:17<50:33, 2.00s/it][Dataset] cur_step=7487 phase=D_mixed_covt +[Dataset] cur_step=7487 phase=D_mixed_covt +[Dataset] cur_step=7487 phase=D_mixed_covt +[Dataset] cur_step=7487 phase=D_mixed_covt[Dataset] cur_step=7487 phase=D_mixed_covt + +[Dataset] cur_step=7487 phase=D_mixed_covt +[Dataset] cur_step=7487 phase=D_mixed_covt +[Dataset] cur_step=7487 phase=D_mixed_covt + 83%|████████████████████████▉ | 7487/9000 [6:26:18<1:00:22, 2.39s/it] {'loss': '3.125', 'grad_norm': '2.916', 'learning_rate': '3.765e-06', 'epoch': '0.2693'} + 83%|████████████████████████▉ | 7487/9000 [6:26:18<1:00:22, 2.39s/it] {'lm_loss': '0.6005', 'visual_loss': '2.808', 'seg_loss': '0.7013', 'dino_loss': '0.8823', 'depth_loss': '0.3103', 'vggt_mse_loss': '0.3082', 'vggt_cos_loss': '0.02096', 'pidinet_loss': '0.1979', 'siglip_loss': '0.7158', 'epoch': '0.2693'} + 83%|████████████████████████▉ | 7487/9000 [6:26:20<1:00:22, 2.39s/it][Dataset] cur_step=7488 phase=D_mixed_covt +[Dataset] cur_step=7488 phase=D_mixed_covt +[Dataset] cur_step=7488 phase=D_mixed_covt[Dataset] cur_step=7488 phase=D_mixed_covt + +[Dataset] cur_step=7488 phase=D_mixed_covt[Dataset] cur_step=7488 phase=D_mixed_covt + + 83%|████████████████████████▉ | 7488/9000 [6:26:20<1:02:58, 2.50s/it][Dataset] cur_step=7488 phase=D_mixed_covt +[Dataset] cur_step=7488 phase=D_mixed_covt + {'loss': '3.308', 'grad_norm': '3.593', 'learning_rate': '3.76e-06', 'epoch': '0.2694'} + 83%|████████████████████████▉ | 7488/9000 [6:26:20<1:02:58, 2.50s/it] {'lm_loss': '0.3199', 'visual_loss': '2.697', 'seg_loss': '0.6989', 'dino_loss': '0.9134', 'depth_loss': '0.2635', 'vggt_mse_loss': '0.2617', 'vggt_cos_loss': '0.01776', 'pidinet_loss': '0.3204', 'siglip_loss': '0.5008', 'epoch': '0.2694'} + 83%|████████████████████████▉ | 7488/9000 [6:26:22<1:02:58, 2.50s/it][Dataset] cur_step=7489 phase=D_mixed_covt +[Dataset] cur_step=7489 phase=D_mixed_covt +[Dataset] cur_step=7489 phase=D_mixed_covt[Dataset] cur_step=7489 phase=D_mixed_covt + +[Dataset] cur_step=7489 phase=D_mixed_covt +[Dataset] cur_step=7489 phase=D_mixed_covt[Dataset] cur_step=7489 phase=D_mixed_covt + +[Dataset] cur_step=7489 phase=D_mixed_covt + 83%|████████████████████████▉ | 7489/9000 [6:26:23<1:05:51, 2.61s/it] {'loss': '3.298', 'grad_norm': '324.6', 'learning_rate': '3.755e-06', 'epoch': '0.2694'} + 83%|████████████████████████▉ | 7489/9000 [6:26:23<1:05:51, 2.61s/it] {'lm_loss': '0.903', 'visual_loss': '2.275', 'seg_loss': '0.7027', 'dino_loss': '0.9414', 'depth_loss': '0.2799', 'vggt_mse_loss': '0.2779', 'vggt_cos_loss': '0.02019', 'pidinet_loss': '0.3508', 'siglip_loss': '0', 'epoch': '0.2694'} + 83%|████████████████████████▉ | 7489/9000 [6:26:26<1:05:51, 2.61s/it][Dataset] cur_step=7490 phase=D_mixed_covt +[Dataset] cur_step=7490 phase=D_mixed_covt +[Dataset] cur_step=7490 phase=D_mixed_covt[Dataset] cur_step=7490 phase=D_mixed_covt + +[Dataset] cur_step=7490 phase=D_mixed_covt +[Dataset] cur_step=7490 phase=D_mixed_covt +[Dataset] cur_step=7490 phase=D_mixed_covt +[Dataset] cur_step=7490 phase=D_mixed_covt + 83%|████████████████████████▉ | 7490/9000 [6:26:26<1:10:14, 2.79s/it] {'loss': '2.81', 'grad_norm': '2.133', 'learning_rate': '3.75e-06', 'epoch': '0.2695'} + 83%|████████████████████████▉ | 7490/9000 [6:26:26<1:10:14, 2.79s/it] {'lm_loss': '0.3417', 'visual_loss': '2.413', 'seg_loss': '0.704', 'dino_loss': '0.912', 'depth_loss': '0.2229', 'vggt_mse_loss': '0.2214', 'vggt_cos_loss': '0.01527', 'pidinet_loss': '0', 'siglip_loss': '0.5744', 'epoch': '0.2695'} + 83%|████████████████████████▉ | 7490/9000 [6:26:29<1:10:14, 2.79s/it][Dataset] cur_step=7491 phase=D_mixed_covt +[Dataset] cur_step=7491 phase=D_mixed_covt +[Dataset] cur_step=7491 phase=D_mixed_covt + 83%|████████████████████████▉ | 7491/9000 [6:26:29<1:08:22, 2.72s/it][Dataset] cur_step=7491 phase=D_mixed_covt +[Dataset] cur_step=7491 phase=D_mixed_covt +[Dataset] cur_step=7491 phase=D_mixed_covt +[Dataset] cur_step=7491 phase=D_mixed_covt +[Dataset] cur_step=7491 phase=D_mixed_covt + {'loss': '3.077', 'grad_norm': '2.916', 'learning_rate': '3.745e-06', 'epoch': '0.2695'} + 83%|████████████████████████▉ | 7491/9000 [6:26:29<1:08:22, 2.72s/it] {'lm_loss': '0.5372', 'visual_loss': '1.923', 'seg_loss': '0', 'dino_loss': '0.8769', 'depth_loss': '0.2662', 'vggt_mse_loss': '0.2639', 'vggt_cos_loss': '0.02296', 'pidinet_loss': '0.1609', 'siglip_loss': '0.6193', 'epoch': '0.2695'} + 83%|████████████████████████▉ | 7491/9000 [6:26:30<1:08:22, 2.72s/it][Dataset] cur_step=7492 phase=D_mixed_covt +[Dataset] cur_step=7492 phase=D_mixed_covt +[Dataset] cur_step=7492 phase=D_mixed_covt[Dataset] cur_step=7492 phase=D_mixed_covt[Dataset] cur_step=7492 phase=D_mixed_covt + + +[Dataset] cur_step=7492 phase=D_mixed_covt +[Dataset] cur_step=7492 phase=D_mixed_covt +[Dataset] cur_step=7492 phase=D_mixed_covt + 83%|██████████████████████████▋ | 7492/9000 [6:26:30<56:01, 2.23s/it] {'loss': '2.618', 'grad_norm': '4.121', 'learning_rate': '3.741e-06', 'epoch': '0.2695'} + 83%|██████████████████████████▋ | 7492/9000 [6:26:30<56:01, 2.23s/it] {'lm_loss': '0.6575', 'visual_loss': '2.772', 'seg_loss': '0.6871', 'dino_loss': '0.8928', 'depth_loss': '0.4213', 'vggt_mse_loss': '0.4175', 'vggt_cos_loss': '0.03782', 'pidinet_loss': '0.3058', 'siglip_loss': '0.4653', 'epoch': '0.2695'} + 83%|██████████████████████████▋ | 7492/9000 [6:26:34<56:01, 2.23s/it][Dataset] cur_step=7493 phase=D_mixed_covt +[Dataset] cur_step=7493 phase=D_mixed_covt +[Dataset] cur_step=7493 phase=D_mixed_covt + 83%|████████████████████████▉ | 7493/9000 [6:26:34<1:10:01, 2.79s/it][Dataset] cur_step=7493 phase=D_mixed_covt +[Dataset] cur_step=7493 phase=D_mixed_covt +[Dataset] cur_step=7493 phase=D_mixed_covt +[Dataset] cur_step=7493 phase=D_mixed_covt +[Dataset] cur_step=7493 phase=D_mixed_covt + {'loss': '3.247', 'grad_norm': '2.763', 'learning_rate': '3.736e-06', 'epoch': '0.2696'} + 83%|████████████████████████▉ | 7493/9000 [6:26:34<1:10:01, 2.79s/it] {'lm_loss': '0.5118', 'visual_loss': '2.527', 'seg_loss': '0.632', 'dino_loss': '0.9075', 'depth_loss': '0.2685', 'vggt_mse_loss': '0.2666', 'vggt_cos_loss': '0.01902', 'pidinet_loss': '0.2312', 'siglip_loss': '0.4883', 'epoch': '0.2696'} + 83%|████████████████████████▉ | 7493/9000 [6:26:36<1:10:01, 2.79s/it][Dataset] cur_step=7494 phase=D_mixed_covt +[Dataset] cur_step=7494 phase=D_mixed_covt +[Dataset] cur_step=7494 phase=D_mixed_covt[Dataset] cur_step=7494 phase=D_mixed_covt + +[Dataset] cur_step=7494 phase=D_mixed_covt[Dataset] cur_step=7494 phase=D_mixed_covt + +[Dataset] cur_step=7494 phase=D_mixed_covt + 83%|████████████████████████▉ | 7494/9000 [6:26:37<1:10:12, 2.80s/it][Dataset] cur_step=7494 phase=D_mixed_covt + {'loss': '3.707', 'grad_norm': '3.713', 'learning_rate': '3.731e-06', 'epoch': '0.2696'} + 83%|████████████████████████▉ | 7494/9000 [6:26:37<1:10:12, 2.80s/it] {'lm_loss': '1.052', 'visual_loss': '2.532', 'seg_loss': '0.665', 'dino_loss': '0.9282', 'depth_loss': '0.2116', 'vggt_mse_loss': '0.2103', 'vggt_cos_loss': '0.01311', 'pidinet_loss': '0.1952', 'siglip_loss': '0.5324', 'epoch': '0.2696'} + 83%|████████████████████████▉ | 7494/9000 [6:26:39<1:10:12, 2.80s/it][Dataset] cur_step=7495 phase=D_mixed_covt +[Dataset] cur_step=7495 phase=D_mixed_covt +[Dataset] cur_step=7495 phase=D_mixed_covt +[Dataset] cur_step=7495 phase=D_mixed_covt +[Dataset] cur_step=7495 phase=D_mixed_covt +[Dataset] cur_step=7495 phase=D_mixed_covt +[Dataset] cur_step=7495 phase=D_mixed_covt +[Dataset] cur_step=7495 phase=D_mixed_covt + 83%|████████████████████████▉ | 7495/9000 [6:26:40<1:10:26, 2.81s/it] {'loss': '3.558', 'grad_norm': '3.455', 'learning_rate': '3.726e-06', 'epoch': '0.2696'} + 83%|████████████████████████▉ | 7495/9000 [6:26:40<1:10:26, 2.81s/it] {'lm_loss': '0.241', 'visual_loss': '2.482', 'seg_loss': '0.8171', 'dino_loss': '0.9004', 'depth_loss': '0.1898', 'vggt_mse_loss': '0.1883', 'vggt_cos_loss': '0.01523', 'pidinet_loss': '0.1867', 'siglip_loss': '0.3885', 'epoch': '0.2696'} + 83%|████████████████████████▉ | 7495/9000 [6:26:43<1:10:26, 2.81s/it][Dataset] cur_step=7496 phase=D_mixed_covt +[Dataset] cur_step=7496 phase=D_mixed_covt +[Dataset] cur_step=7496 phase=D_mixed_covt +[Dataset] cur_step=7496 phase=D_mixed_covt +[Dataset] cur_step=7496 phase=D_mixed_covt[Dataset] cur_step=7496 phase=D_mixed_covt + +[Dataset] cur_step=7496 phase=D_mixed_covt + 83%|████████████████████████▉ | 7496/9000 [6:26:43<1:13:20, 2.93s/it][Dataset] cur_step=7496 phase=D_mixed_covt + {'loss': '2.966', 'grad_norm': '2.604', 'learning_rate': '3.721e-06', 'epoch': '0.2697'} + 83%|████████████████████████▉ | 7496/9000 [6:26:43<1:13:20, 2.93s/it] {'lm_loss': '0.4927', 'visual_loss': '2.433', 'seg_loss': '0.7874', 'dino_loss': '0.9398', 'depth_loss': '0.1425', 'vggt_mse_loss': '0.1415', 'vggt_cos_loss': '0.01046', 'pidinet_loss': '0.2111', 'siglip_loss': '0.3522', 'epoch': '0.2697'} + 83%|████████████████████████▉ | 7496/9000 [6:26:45<1:13:20, 2.93s/it][Dataset] cur_step=7497 phase=D_mixed_covt +[Dataset] cur_step=7497 phase=D_mixed_covt +[Dataset] cur_step=7497 phase=D_mixed_covt +[Dataset] cur_step=7497 phase=D_mixed_covt +[Dataset] cur_step=7497 phase=D_mixed_covt +[Dataset] cur_step=7497 phase=D_mixed_covt + 83%|████████████████████████▉ | 7497/9000 [6:26:46<1:10:40, 2.82s/it][Dataset] cur_step=7497 phase=D_mixed_covt +[Dataset] cur_step=7497 phase=D_mixed_covt + {'loss': '3.218', 'grad_norm': '3.352', 'learning_rate': '3.716e-06', 'epoch': '0.2697'} + 83%|████████████████████████▉ | 7497/9000 [6:26:46<1:10:40, 2.82s/it] {'lm_loss': '0.572', 'visual_loss': '2.719', 'seg_loss': '0.7518', 'dino_loss': '0.8995', 'depth_loss': '0.2472', 'vggt_mse_loss': '0.2452', 'vggt_cos_loss': '0.01943', 'pidinet_loss': '0.2994', 'siglip_loss': '0.5217', 'epoch': '0.2697'} + 83%|████████████████████████▉ | 7497/9000 [6:26:49<1:10:40, 2.82s/it][Dataset] cur_step=7498 phase=D_mixed_covt +[Dataset] cur_step=7498 phase=D_mixed_covt +[Dataset] cur_step=7498 phase=D_mixed_covt +[Dataset] cur_step=7498 phase=D_mixed_covt[Dataset] cur_step=7498 phase=D_mixed_covt + +[Dataset] cur_step=7498 phase=D_mixed_covt + 83%|████████████████████████▉ | 7498/9000 [6:26:50<1:21:35, 3.26s/it][Dataset] cur_step=7498 phase=D_mixed_covt +[Dataset] cur_step=7498 phase=D_mixed_covt + {'loss': '3.348', 'grad_norm': '7.277', 'learning_rate': '3.712e-06', 'epoch': '0.2697'} + 83%|████████████████████████▉ | 7498/9000 [6:26:50<1:21:35, 3.26s/it] {'lm_loss': '0.586', 'visual_loss': '2.785', 'seg_loss': '0.7348', 'dino_loss': '0.9454', 'depth_loss': '0.3182', 'vggt_mse_loss': '0.3151', 'vggt_cos_loss': '0.03043', 'pidinet_loss': '0.3055', 'siglip_loss': '0.4809', 'epoch': '0.2697'} + 83%|████████████████████████▉ | 7498/9000 [6:26:53<1:21:35, 3.26s/it][Dataset] cur_step=7499 phase=D_mixed_covt +[Dataset] cur_step=7499 phase=D_mixed_covt +[Dataset] cur_step=7499 phase=D_mixed_covt +[Dataset] cur_step=7499 phase=D_mixed_covt +[Dataset] cur_step=7499 phase=D_mixed_covt[Dataset] cur_step=7499 phase=D_mixed_covt +[Dataset] cur_step=7499 phase=D_mixed_covt + +[Dataset] cur_step=7499 phase=D_mixed_covt + 83%|████████████████████████▉ | 7499/9000 [6:26:54<1:24:38, 3.38s/it] {'loss': '3.182', 'grad_norm': '4.518', 'learning_rate': '3.707e-06', 'epoch': '0.2698'} + 83%|████████████████████████▉ | 7499/9000 [6:26:54<1:24:38, 3.38s/it] {'lm_loss': '0.703', 'visual_loss': '2.689', 'seg_loss': '0.8644', 'dino_loss': '0.9242', 'depth_loss': '0.2249', 'vggt_mse_loss': '0.2235', 'vggt_cos_loss': '0.01416', 'pidinet_loss': '0.2492', 'siglip_loss': '0.4262', 'epoch': '0.2698'} + 83%|████████████████████████▉ | 7499/9000 [6:26:56<1:24:38, 3.38s/it][Dataset] cur_step=7500 phase=D_mixed_covt +[Dataset] cur_step=7500 phase=D_mixed_covt[Dataset] cur_step=7500 phase=D_mixed_covt + +[Dataset] cur_step=7500 phase=D_mixed_covt[Dataset] cur_step=7500 phase=D_mixed_covt + +[Dataset] cur_step=7500 phase=D_mixed_covt +[Dataset] cur_step=7500 phase=D_mixed_covt +[Dataset] cur_step=7500 phase=D_mixed_covt +[cvbench] step=7500 metrics={"eval/cvbench_2d_accuracy": 0.772, "eval/cvbench_2d_count_accuracy": 0.6715328467153284, "eval/cvbench_2d_relation_accuracy": 0.8938053097345132, "eval/cvbench_2d_task_macro_accuracy": 0.7826690782249208, "eval/cvbench_3d_accuracy": 0.888, "eval/cvbench_3d_depth_accuracy": 0.944, "eval/cvbench_3d_distance_accuracy": 0.832, "eval/cvbench_3d_task_macro_accuracy": 0.8879999999999999, "eval/cvbench_accuracy": 0.83, "eval/cvbench_covt_answer_tag_rate": 1.0, "eval/cvbench_covt_any_anchor_rate": 1.0, "eval/cvbench_covt_depth_tokens_mean": 4.0, "eval/cvbench_covt_dino_tokens_mean": 4.0, "eval/cvbench_covt_pidinet_tokens_mean": 3.792, "eval/cvbench_covt_sam_tokens_mean": 8.0, "eval/cvbench_covt_siglip_tokens_mean": 3.08, "eval/cvbench_covt_think_rate": 1.0, "eval/cvbench_errors": 0.0, "eval/cvbench_parse_rate": 1.0, "eval/cvbench_samples": 500.0, "eval/cvbench_seconds": 291.66524504404515, "eval/cvbench_task_macro_accuracy": 0.8353345391124604} + 83%|████████████████████████▏ | 7500/9000 [6:31:49<37:51:25, 90.86s/it] {'loss': '3.453', 'grad_norm': '3.008', 'learning_rate': '3.702e-06', 'epoch': '0.2698'} + 83%|████████████████████████▏ | 7500/9000 [6:31:49<37:51:25, 90.86s/it] {'lm_loss': '0.9167', 'visual_loss': '2.303', 'seg_loss': '0.6238', 'dino_loss': '0.8674', 'depth_loss': '0.2187', 'vggt_mse_loss': '0.2172', 'vggt_cos_loss': '0.01441', 'pidinet_loss': '0.2107', 'siglip_loss': '0.3822', 'epoch': '0.2698'} + 83%|████████████████████████▏ | 7500/9000 [6:31:53<37:51:25, 90.86s/it][Dataset] cur_step=7501 phase=D_mixed_covt + 83%|████████████████████████▏ | 7501/9000 [6:31:53<27:02:26, 64.94s/it][Dataset] cur_step=7501 phase=D_mixed_covt +[Dataset] cur_step=7501 phase=D_mixed_covt[Dataset] cur_step=7501 phase=D_mixed_covt + +[Dataset] cur_step=7501 phase=D_mixed_covt[Dataset] cur_step=7501 phase=D_mixed_covt + +[Dataset] cur_step=7501 phase=D_mixed_covt +[Dataset] cur_step=7501 phase=D_mixed_covt + {'loss': '3.34', 'grad_norm': '2.436', 'learning_rate': '3.697e-06', 'epoch': '0.2698'} + 83%|████████████████████████▏ | 7501/9000 [6:31:53<27:02:26, 64.94s/it] {'lm_loss': '0.4767', 'visual_loss': '2.748', 'seg_loss': '0.8705', 'dino_loss': '0.9471', 'depth_loss': '0.1985', 'vggt_mse_loss': '0.1971', 'vggt_cos_loss': '0.01407', 'pidinet_loss': '0.2177', 'siglip_loss': '0.5143', 'epoch': '0.2698'} + 83%|████████████████████████▏ | 7501/9000 [6:31:55<27:02:26, 64.94s/it][Dataset] cur_step=7502 phase=D_mixed_covt +[Dataset] cur_step=7502 phase=D_mixed_covt +[Dataset] cur_step=7502 phase=D_mixed_covt[Dataset] cur_step=7502 phase=D_mixed_covt +[Dataset] cur_step=7502 phase=D_mixed_covt +[Dataset] cur_step=7502 phase=D_mixed_covt +[Dataset] cur_step=7502 phase=D_mixed_covt +[Dataset] cur_step=7502 phase=D_mixed_covt + + 83%|████████████████████████▏ | 7502/9000 [6:31:55<19:12:59, 46.18s/it] {'loss': '2.98', 'grad_norm': '51.52', 'learning_rate': '3.692e-06', 'epoch': '0.2699'} + 83%|████████████████████████▏ | 7502/9000 [6:31:55<19:12:59, 46.18s/it] {'lm_loss': '0.9402', 'visual_loss': '2.109', 'seg_loss': '0.6802', 'dino_loss': '0.9252', 'depth_loss': '0.2195', 'vggt_mse_loss': '0.2184', 'vggt_cos_loss': '0.01144', 'pidinet_loss': '0.2836', 'siglip_loss': '0', 'epoch': '0.2699'} + 83%|████████████████████████▏ | 7502/9000 [6:31:57<19:12:59, 46.18s/it][Dataset] cur_step=7503 phase=D_mixed_covt +[Dataset] cur_step=7503 phase=D_mixed_covt +[Dataset] cur_step=7503 phase=D_mixed_covt[Dataset] cur_step=7503 phase=D_mixed_covt + +[Dataset] cur_step=7503 phase=D_mixed_covt + 83%|████████████████████████▏ | 7503/9000 [6:31:58<13:44:49, 33.06s/it][Dataset] cur_step=7503 phase=D_mixed_covt +[Dataset] cur_step=7503 phase=D_mixed_covt +[Dataset] cur_step=7503 phase=D_mixed_covt + {'loss': '2.833', 'grad_norm': '2.734', 'learning_rate': '3.688e-06', 'epoch': '0.2699'} + 83%|████████████████████████▏ | 7503/9000 [6:31:58<13:44:49, 33.06s/it] {'lm_loss': '0.5326', 'visual_loss': '2.118', 'seg_loss': '0.5998', 'dino_loss': '0.8317', 'depth_loss': '0.2535', 'vggt_mse_loss': '0.252', 'vggt_cos_loss': '0.01519', 'pidinet_loss': '0.1438', 'siglip_loss': '0.2893', 'epoch': '0.2699'} + 83%|████████████████████████▏ | 7503/9000 [6:32:00<13:44:49, 33.06s/it][Dataset] cur_step=7504 phase=D_mixed_covt[Dataset] cur_step=7504 phase=D_mixed_covt[Dataset] cur_step=7504 phase=D_mixed_covt + +[Dataset] cur_step=7504 phase=D_mixed_covt +[Dataset] cur_step=7504 phase=D_mixed_covt[Dataset] cur_step=7504 phase=D_mixed_covt + + + 83%|█████████████████████████ | 7504/9000 [6:32:00<9:56:28, 23.92s/it][Dataset] cur_step=7504 phase=D_mixed_covt +[Dataset] cur_step=7504 phase=D_mixed_covt + {'loss': '3.305', 'grad_norm': '2.705', 'learning_rate': '3.683e-06', 'epoch': '0.27'} + 83%|█████████████████████████ | 7504/9000 [6:32:00<9:56:28, 23.92s/it] {'lm_loss': '0.4657', 'visual_loss': '2.581', 'seg_loss': '0.7293', 'dino_loss': '0.8745', 'depth_loss': '0.3673', 'vggt_mse_loss': '0.3654', 'vggt_cos_loss': '0.01892', 'pidinet_loss': '0.2038', 'siglip_loss': '0.4064', 'epoch': '0.27'} + 83%|█████████████████████████ | 7504/9000 [6:32:03<9:56:28, 23.92s/it][Dataset] cur_step=7505 phase=D_mixed_covt +[Dataset] cur_step=7505 phase=D_mixed_covt +[Dataset] cur_step=7505 phase=D_mixed_covt +[Dataset] cur_step=7505 phase=D_mixed_covt[Dataset] cur_step=7505 phase=D_mixed_covt + +[Dataset] cur_step=7505 phase=D_mixed_covt +[Dataset] cur_step=7505 phase=D_mixed_covt + 83%|█████████████████████████ | 7505/9000 [6:32:04<7:21:46, 17.73s/it][Dataset] cur_step=7505 phase=D_mixed_covt + {'loss': '3.221', 'grad_norm': '42.87', 'learning_rate': '3.678e-06', 'epoch': '0.27'} + 83%|█████████████████████████ | 7505/9000 [6:32:04<7:21:46, 17.73s/it] {'lm_loss': '0.06624', 'visual_loss': '2.432', 'seg_loss': '0.6544', 'dino_loss': '0.9004', 'depth_loss': '0.197', 'vggt_mse_loss': '0.1957', 'vggt_cos_loss': '0.01298', 'pidinet_loss': '0.2221', 'siglip_loss': '0.4582', 'epoch': '0.27'} + 83%|█████████████████████████ | 7505/9000 [6:32:06<7:21:46, 17.73s/it][Dataset] cur_step=7506 phase=D_mixed_covt +[Dataset] cur_step=7506 phase=D_mixed_covt +[Dataset] cur_step=7506 phase=D_mixed_covt +[Dataset] cur_step=7506 phase=D_mixed_covt +[Dataset] cur_step=7506 phase=D_mixed_covt + 83%|█████████████████████████ | 7506/9000 [6:32:06<5:27:22, 13.15s/it][Dataset] cur_step=7506 phase=D_mixed_covt[Dataset] cur_step=7506 phase=D_mixed_covt + +[Dataset] cur_step=7506 phase=D_mixed_covt + {'loss': '2.939', 'grad_norm': '3.394', 'learning_rate': '3.673e-06', 'epoch': '0.27'} + 83%|█████████████████████████ | 7506/9000 [6:32:06<5:27:22, 13.15s/it] {'lm_loss': '0.4773', 'visual_loss': '2.568', 'seg_loss': '0.636', 'dino_loss': '0.9102', 'depth_loss': '0.1961', 'vggt_mse_loss': '0.1947', 'vggt_cos_loss': '0.01476', 'pidinet_loss': '0.2482', 'siglip_loss': '0.5777', 'epoch': '0.27'} + 83%|█████████████████████████ | 7506/9000 [6:32:09<5:27:22, 13.15s/it][Dataset] cur_step=7507 phase=D_mixed_covt +[Dataset] cur_step=7507 phase=D_mixed_covt +[Dataset] cur_step=7507 phase=D_mixed_covt 83%|█████████████████████████ | 7507/9000 [6:32:09<4:11:45, 10.12s/it][Dataset] cur_step=7507 phase=D_mixed_covt + +[Dataset] cur_step=7507 phase=D_mixed_covt[Dataset] cur_step=7507 phase=D_mixed_covt + +[Dataset] cur_step=7507 phase=D_mixed_covt +[Dataset] cur_step=7507 phase=D_mixed_covt + {'loss': '3.206', 'grad_norm': '3.332', 'learning_rate': '3.668e-06', 'epoch': '0.2701'} + 83%|█████████████████████████ | 7507/9000 [6:32:09<4:11:45, 10.12s/it] {'lm_loss': '0.07534', 'visual_loss': '2.93', 'seg_loss': '0.7522', 'dino_loss': '0.891', 'depth_loss': '0.188', 'vggt_mse_loss': '0.1866', 'vggt_cos_loss': '0.01339', 'pidinet_loss': '0.3296', 'siglip_loss': '0.7694', 'epoch': '0.2701'} + 83%|█████████████████████████ | 7507/9000 [6:32:11<4:11:45, 10.12s/it][Dataset] cur_step=7508 phase=D_mixed_covt +[Dataset] cur_step=7508 phase=D_mixed_covt +[Dataset] cur_step=7508 phase=D_mixed_covt +[Dataset] cur_step=7508 phase=D_mixed_covt +[Dataset] cur_step=7508 phase=D_mixed_covt[Dataset] cur_step=7508 phase=D_mixed_covt + +[Dataset] cur_step=7508 phase=D_mixed_covt 83%|█████████████████████████ | 7508/9000 [6:32:12<3:19:36, 8.03s/it] +[Dataset] cur_step=7508 phase=D_mixed_covt + {'loss': '3.213', 'grad_norm': '2.689', 'learning_rate': '3.664e-06', 'epoch': '0.2701'} + 83%|█████████████████████████ | 7508/9000 [6:32:12<3:19:36, 8.03s/it] {'lm_loss': '0.7275', 'visual_loss': '2.635', 'seg_loss': '0.88', 'dino_loss': '0.9218', 'depth_loss': '0.1494', 'vggt_mse_loss': '0.1485', 'vggt_cos_loss': '0.009135', 'pidinet_loss': '0.2794', 'siglip_loss': '0.4045', 'epoch': '0.2701'} + 83%|█████████████████████████ | 7508/9000 [6:32:14<3:19:36, 8.03s/it][Dataset] cur_step=7509 phase=D_mixed_covt[Dataset] cur_step=7509 phase=D_mixed_covt[Dataset] cur_step=7509 phase=D_mixed_covt + + +[Dataset] cur_step=7509 phase=D_mixed_covt[Dataset] cur_step=7509 phase=D_mixed_covt + +[Dataset] cur_step=7509 phase=D_mixed_covt + 83%|█████████████████████████ | 7509/9000 [6:32:14<2:34:49, 6.23s/it][Dataset] cur_step=7509 phase=D_mixed_covt +[Dataset] cur_step=7509 phase=D_mixed_covt + {'loss': '3.513', 'grad_norm': '4.039', 'learning_rate': '3.659e-06', 'epoch': '0.2701'} + 83%|█████████████████████████ | 7509/9000 [6:32:14<2:34:49, 6.23s/it] {'lm_loss': '0.1386', 'visual_loss': '2.44', 'seg_loss': '0.7764', 'dino_loss': '0.9363', 'depth_loss': '0.1393', 'vggt_mse_loss': '0.1383', 'vggt_cos_loss': '0.01004', 'pidinet_loss': '0', 'siglip_loss': '0.5876', 'epoch': '0.2701'} + 83%|█████████████████████████ | 7509/9000 [6:32:17<2:34:49, 6.23s/it][Dataset] cur_step=7510 phase=D_mixed_covt[Dataset] cur_step=7510 phase=D_mixed_covt + +[Dataset] cur_step=7510 phase=D_mixed_covt + 83%|█████████████████████████ | 7510/9000 [6:32:17<2:09:12, 5.20s/it][Dataset] cur_step=7510 phase=D_mixed_covt +[Dataset] cur_step=7510 phase=D_mixed_covt +[Dataset] cur_step=7510 phase=D_mixed_covt +[Dataset] cur_step=7510 phase=D_mixed_covt +[Dataset] cur_step=7510 phase=D_mixed_covt + {'loss': '3.142', 'grad_norm': '4.301', 'learning_rate': '3.654e-06', 'epoch': '0.2702'} + 83%|█████████████████████████ | 7510/9000 [6:32:17<2:09:12, 5.20s/it] {'lm_loss': '0.06618', 'visual_loss': '2.59', 'seg_loss': '0.7356', 'dino_loss': '0.9489', 'depth_loss': '0.1454', 'vggt_mse_loss': '0.1446', 'vggt_cos_loss': '0.008596', 'pidinet_loss': '0.2206', 'siglip_loss': '0.5398', 'epoch': '0.2702'} + 83%|█████████████████████████ | 7510/9000 [6:32:20<2:09:12, 5.20s/it][Dataset] cur_step=7511 phase=D_mixed_covt +[Dataset] cur_step=7511 phase=D_mixed_covt +[Dataset] cur_step=7511 phase=D_mixed_covt +[Dataset] cur_step=7511 phase=D_mixed_covt[Dataset] cur_step=7511 phase=D_mixed_covt + +[Dataset] cur_step=7511 phase=D_mixed_covt +[Dataset] cur_step=7511 phase=D_mixed_covt + 83%|█████████████████████████ | 7511/9000 [6:32:21<1:55:33, 4.66s/it][Dataset] cur_step=7511 phase=D_mixed_covt + {'loss': '3.5', 'grad_norm': '2.079', 'learning_rate': '3.649e-06', 'epoch': '0.2702'} + 83%|█████████████████████████ | 7511/9000 [6:32:21<1:55:33, 4.66s/it] {'lm_loss': '0.751', 'visual_loss': '2.878', 'seg_loss': '0.7881', 'dino_loss': '0.917', 'depth_loss': '0.3209', 'vggt_mse_loss': '0.3189', 'vggt_cos_loss': '0.0206', 'pidinet_loss': '0.2033', 'siglip_loss': '0.6484', 'epoch': '0.2702'} + 83%|█████████████████████████ | 7511/9000 [6:32:22<1:55:33, 4.66s/it][Dataset] cur_step=7512 phase=D_mixed_covt +[Dataset] cur_step=7512 phase=D_mixed_covt +[Dataset] cur_step=7512 phase=D_mixed_covt[Dataset] cur_step=7512 phase=D_mixed_covt + +[Dataset] cur_step=7512 phase=D_mixed_covt +[Dataset] cur_step=7512 phase=D_mixed_covt +[Dataset] cur_step=7512 phase=D_mixed_covt + 83%|█████████████████████████ | 7512/9000 [6:32:23<1:40:01, 4.03s/it][Dataset] cur_step=7512 phase=D_mixed_covt + {'loss': '3.324', 'grad_norm': '3.215', 'learning_rate': '3.644e-06', 'epoch': '0.2702'} + 83%|█████████████████████████ | 7512/9000 [6:32:23<1:40:01, 4.03s/it] {'lm_loss': '0.4858', 'visual_loss': '2.357', 'seg_loss': '0.5943', 'dino_loss': '0.9573', 'depth_loss': '0.1562', 'vggt_mse_loss': '0.1555', 'vggt_cos_loss': '0.007597', 'pidinet_loss': '0.1261', 'siglip_loss': '0.5229', 'epoch': '0.2702'} + 83%|█████████████████████████ | 7512/9000 [6:32:26<1:40:01, 4.03s/it][Dataset] cur_step=7513 phase=D_mixed_covt +[Dataset] cur_step=7513 phase=D_mixed_covt +[Dataset] cur_step=7513 phase=D_mixed_covt +[Dataset] cur_step=7513 phase=D_mixed_covt 83%|█████████████████████████ | 7513/9000 [6:32:27<1:36:30, 3.89s/it] +[Dataset] cur_step=7513 phase=D_mixed_covt +[Dataset] cur_step=7513 phase=D_mixed_covt +[Dataset] cur_step=7513 phase=D_mixed_covt +[Dataset] cur_step=7513 phase=D_mixed_covt + {'loss': '3.651', 'grad_norm': '3.967', 'learning_rate': '3.64e-06', 'epoch': '0.2703'} + 83%|█████████████████████████ | 7513/9000 [6:32:27<1:36:30, 3.89s/it] {'lm_loss': '0.5714', 'visual_loss': '2.816', 'seg_loss': '0.8761', 'dino_loss': '0.903', 'depth_loss': '0.2377', 'vggt_mse_loss': '0.236', 'vggt_cos_loss': '0.01703', 'pidinet_loss': '0.2055', 'siglip_loss': '0.5933', 'epoch': '0.2703'} + 83%|█████████████████████████ | 7513/9000 [6:32:28<1:36:30, 3.89s/it][Dataset] cur_step=7514 phase=D_mixed_covt +[Dataset] cur_step=7514 phase=D_mixed_covt +[Dataset] cur_step=7514 phase=D_mixed_covt +[Dataset] cur_step=7514 phase=D_mixed_covt +[Dataset] cur_step=7514 phase=D_mixed_covt +[Dataset] cur_step=7514 phase=D_mixed_covt +[Dataset] cur_step=7514 phase=D_mixed_covt +[Dataset] cur_step=7514 phase=D_mixed_covt + 83%|█████████████████████████ | 7514/9000 [6:32:29<1:23:29, 3.37s/it] {'loss': '3.44', 'grad_norm': '9.111', 'learning_rate': '3.635e-06', 'epoch': '0.2703'} + 83%|█████████████████████████ | 7514/9000 [6:32:29<1:23:29, 3.37s/it] {'lm_loss': '0.5927', 'visual_loss': '2.566', 'seg_loss': '0.5842', 'dino_loss': '0.9298', 'depth_loss': '0.2432', 'vggt_mse_loss': '0.2417', 'vggt_cos_loss': '0.01559', 'pidinet_loss': '0.2529', 'siglip_loss': '0.5559', 'epoch': '0.2703'} + 83%|█████████████████████████ | 7514/9000 [6:32:31<1:23:29, 3.37s/it][Dataset] cur_step=7515 phase=D_mixed_covt +[Dataset] cur_step=7515 phase=D_mixed_covt +[Dataset] cur_step=7515 phase=D_mixed_covt +[Dataset] cur_step=7515 phase=D_mixed_covt +[Dataset] cur_step=7515 phase=D_mixed_covt +[Dataset] cur_step=7515 phase=D_mixed_covt +[Dataset] cur_step=7515 phase=D_mixed_covt + 84%|█████████████████████████ | 7515/9000 [6:32:32<1:17:28, 3.13s/it][Dataset] cur_step=7515 phase=D_mixed_covt + {'loss': '3.116', 'grad_norm': '3.444', 'learning_rate': '3.63e-06', 'epoch': '0.2704'} + 84%|█████████████████████████ | 7515/9000 [6:32:32<1:17:28, 3.13s/it] {'lm_loss': '1.193', 'visual_loss': '2.757', 'seg_loss': '0.7815', 'dino_loss': '0.898', 'depth_loss': '0.2996', 'vggt_mse_loss': '0.2976', 'vggt_cos_loss': '0.0195', 'pidinet_loss': '0.1877', 'siglip_loss': '0.5901', 'epoch': '0.2704'} + 84%|█████████████████████████ | 7515/9000 [6:32:33<1:17:28, 3.13s/it][Dataset] cur_step=7516 phase=D_mixed_covt +[Dataset] cur_step=7516 phase=D_mixed_covt +[Dataset] cur_step=7516 phase=D_mixed_covt[Dataset] cur_step=7516 phase=D_mixed_covt + +[Dataset] cur_step=7516 phase=D_mixed_covt +[Dataset] cur_step=7516 phase=D_mixed_covt +[Dataset] cur_step=7516 phase=D_mixed_covt + 84%|█████████████████████████ | 7516/9000 [6:32:34<1:13:04, 2.95s/it][Dataset] cur_step=7516 phase=D_mixed_covt + {'loss': '3.065', 'grad_norm': '3.485', 'learning_rate': '3.625e-06', 'epoch': '0.2704'} + 84%|█████████████████████████ | 7516/9000 [6:32:34<1:13:04, 2.95s/it] {'lm_loss': '0.08385', 'visual_loss': '2.741', 'seg_loss': '0.7395', 'dino_loss': '0.9091', 'depth_loss': '0.1727', 'vggt_mse_loss': '0.1714', 'vggt_cos_loss': '0.01298', 'pidinet_loss': '0.2023', 'siglip_loss': '0.7172', 'epoch': '0.2704'} + 84%|█████████████████████████ | 7516/9000 [6:32:36<1:13:04, 2.95s/it][Dataset] cur_step=7517 phase=D_mixed_covt +[Dataset] cur_step=7517 phase=D_mixed_covt +[Dataset] cur_step=7517 phase=D_mixed_covt +[Dataset] cur_step=7517 phase=D_mixed_covt[Dataset] cur_step=7517 phase=D_mixed_covt[Dataset] cur_step=7517 phase=D_mixed_covt + + + 84%|█████████████████████████ | 7517/9000 [6:32:37<1:09:31, 2.81s/it][Dataset] cur_step=7517 phase=D_mixed_covt +[Dataset] cur_step=7517 phase=D_mixed_covt + {'loss': '3.171', 'grad_norm': '3.546', 'learning_rate': '3.621e-06', 'epoch': '0.2704'} + 84%|█████████████████████████ | 7517/9000 [6:32:37<1:09:31, 2.81s/it] {'lm_loss': '1.028', 'visual_loss': '1.837', 'seg_loss': '0.5527', 'dino_loss': '0.8974', 'depth_loss': '0.1588', 'vggt_mse_loss': '0.1579', 'vggt_cos_loss': '0.008553', 'pidinet_loss': '0.2279', 'siglip_loss': '0', 'epoch': '0.2704'} + 84%|█████████████████████████ | 7517/9000 [6:32:38<1:09:31, 2.81s/it][Dataset] cur_step=7518 phase=D_mixed_covt +[Dataset] cur_step=7518 phase=D_mixed_covt[Dataset] cur_step=7518 phase=D_mixed_covt + +[Dataset] cur_step=7518 phase=D_mixed_covt + 84%|█████████████████████████ | 7518/9000 [6:32:39<1:03:20, 2.56s/it][Dataset] cur_step=7518 phase=D_mixed_covt +[Dataset] cur_step=7518 phase=D_mixed_covt +[Dataset] cur_step=7518 phase=D_mixed_covt +[Dataset] cur_step=7518 phase=D_mixed_covt + {'loss': '2.769', 'grad_norm': '3.629', 'learning_rate': '3.616e-06', 'epoch': '0.2705'} + 84%|█████████████████████████ | 7518/9000 [6:32:39<1:03:20, 2.56s/it] {'lm_loss': '0.9895', 'visual_loss': '0.7353', 'seg_loss': '0', 'dino_loss': '0', 'depth_loss': '0.1277', 'vggt_mse_loss': '0.1272', 'vggt_cos_loss': '0.005191', 'pidinet_loss': '0', 'siglip_loss': '0.6075', 'epoch': '0.2705'} + 84%|█████████████████████████ | 7518/9000 [6:32:39<1:03:20, 2.56s/it][Dataset] cur_step=7519 phase=D_mixed_covt[Dataset] cur_step=7519 phase=D_mixed_covt + +[Dataset] cur_step=7519 phase=D_mixed_covt +[Dataset] cur_step=7519 phase=D_mixed_covt[Dataset] cur_step=7519 phase=D_mixed_covt + +[Dataset] cur_step=7519 phase=D_mixed_covt +[Dataset] cur_step=7519 phase=D_mixed_covt 84%|██████████████████████████▋ | 7519/9000 [6:32:40<52:19, 2.12s/it] +[Dataset] cur_step=7519 phase=D_mixed_covt + {'loss': '1.56', 'grad_norm': '2.866', 'learning_rate': '3.611e-06', 'epoch': '0.2705'} + 84%|██████████████████████████▋ | 7519/9000 [6:32:40<52:19, 2.12s/it] {'lm_loss': '0.8623', 'visual_loss': '2.784', 'seg_loss': '0.8073', 'dino_loss': '0.9343', 'depth_loss': '0.1416', 'vggt_mse_loss': '0.1408', 'vggt_cos_loss': '0.008354', 'pidinet_loss': '0.2517', 'siglip_loss': '0.6487', 'epoch': '0.2705'} + 84%|██████████████████████████▋ | 7519/9000 [6:32:41<52:19, 2.12s/it][Dataset] cur_step=7520 phase=D_mixed_covt[Dataset] cur_step=7520 phase=D_mixed_covt + +[Dataset] cur_step=7520 phase=D_mixed_covt +[Dataset] cur_step=7520 phase=D_mixed_covt +[Dataset] cur_step=7520 phase=D_mixed_covt + 84%|██████████████████████████▋ | 7520/9000 [6:32:41<50:05, 2.03s/it][Dataset] cur_step=7520 phase=D_mixed_covt[Dataset] cur_step=7520 phase=D_mixed_covt + +[Dataset] cur_step=7520 phase=D_mixed_covt + {'loss': '3.319', 'grad_norm': '4.549', 'learning_rate': '3.606e-06', 'epoch': '0.2705'} + 84%|██████████████████████████▋ | 7520/9000 [6:32:41<50:05, 2.03s/it] {'lm_loss': '1.079', 'visual_loss': '2.296', 'seg_loss': '0.8333', 'dino_loss': '0.9592', 'depth_loss': '0.2849', 'vggt_mse_loss': '0.2827', 'vggt_cos_loss': '0.0226', 'pidinet_loss': '0.2188', 'siglip_loss': '0', 'epoch': '0.2705'} + 84%|██████████████████████████▋ | 7520/9000 [6:32:44<50:05, 2.03s/it][Dataset] cur_step=7521 phase=D_mixed_covt +[Dataset] cur_step=7521 phase=D_mixed_covt +[Dataset] cur_step=7521 phase=D_mixed_covt +[Dataset] cur_step=7521 phase=D_mixed_covt +[Dataset] cur_step=7521 phase=D_mixed_covt[Dataset] cur_step=7521 phase=D_mixed_covt + + 84%|██████████████████████████▋ | 7521/9000 [6:32:45<59:01, 2.39s/it][Dataset] cur_step=7521 phase=D_mixed_covt +[Dataset] cur_step=7521 phase=D_mixed_covt + {'loss': '2.847', 'grad_norm': '4.94', 'learning_rate': '3.602e-06', 'epoch': '0.2706'} + 84%|██████████████████████████▋ | 7521/9000 [6:32:45<59:01, 2.39s/it] {'lm_loss': '0.6505', 'visual_loss': '2.88', 'seg_loss': '0.672', 'dino_loss': '0.9238', 'depth_loss': '0.2908', 'vggt_mse_loss': '0.2883', 'vggt_cos_loss': '0.025', 'pidinet_loss': '0.2392', 'siglip_loss': '0.7543', 'epoch': '0.2706'} + 84%|██████████████████████████▋ | 7521/9000 [6:32:46<59:01, 2.39s/it][Dataset] cur_step=7522 phase=D_mixed_covt +[Dataset] cur_step=7522 phase=D_mixed_covt +[Dataset] cur_step=7522 phase=D_mixed_covt +[Dataset] cur_step=7522 phase=D_mixed_covt +[Dataset] cur_step=7522 phase=D_mixed_covt[Dataset] cur_step=7522 phase=D_mixed_covt + + 84%|██████████████████████████▋ | 7522/9000 [6:32:47<55:56, 2.27s/it][Dataset] cur_step=7522 phase=D_mixed_covt +[Dataset] cur_step=7522 phase=D_mixed_covt + {'loss': '3.294', 'grad_norm': '2.26', 'learning_rate': '3.597e-06', 'epoch': '0.2706'} + 84%|██████████████████████████▋ | 7522/9000 [6:32:47<55:56, 2.27s/it] {'lm_loss': '0.9128', 'visual_loss': '2.445', 'seg_loss': '0.5637', 'dino_loss': '0.8371', 'depth_loss': '0.2892', 'vggt_mse_loss': '0.2878', 'vggt_cos_loss': '0.01463', 'pidinet_loss': '0.3213', 'siglip_loss': '0.4334', 'epoch': '0.2706'} + 84%|██████████████████████████▋ | 7522/9000 [6:32:48<55:56, 2.27s/it][Dataset] cur_step=7523 phase=D_mixed_covt[Dataset] cur_step=7523 phase=D_mixed_covt + +[Dataset] cur_step=7523 phase=D_mixed_covt +[Dataset] cur_step=7523 phase=D_mixed_covt +[Dataset] cur_step=7523 phase=D_mixed_covt + 84%|██████████████████████████▋ | 7523/9000 [6:32:49<55:22, 2.25s/it][Dataset] cur_step=7523 phase=D_mixed_covt +[Dataset] cur_step=7523 phase=D_mixed_covt +[Dataset] cur_step=7523 phase=D_mixed_covt + {'loss': '3.285', 'grad_norm': '4.376', 'learning_rate': '3.592e-06', 'epoch': '0.2706'} + 84%|██████████████████████████▋ | 7523/9000 [6:32:49<55:22, 2.25s/it] {'lm_loss': '0.3926', 'visual_loss': '2.648', 'seg_loss': '0.7531', 'dino_loss': '0.8846', 'depth_loss': '0.2295', 'vggt_mse_loss': '0.2279', 'vggt_cos_loss': '0.01594', 'pidinet_loss': '0.2707', 'siglip_loss': '0.5103', 'epoch': '0.2706'} + 84%|██████████████████████████▋ | 7523/9000 [6:32:51<55:22, 2.25s/it][Dataset] cur_step=7524 phase=D_mixed_covt +[Dataset] cur_step=7524 phase=D_mixed_covt + 84%|██████████████████████████▊ | 7524/9000 [6:32:51<56:26, 2.29s/it][Dataset] cur_step=7524 phase=D_mixed_covt +[Dataset] cur_step=7524 phase=D_mixed_covt[Dataset] cur_step=7524 phase=D_mixed_covt + +[Dataset] cur_step=7524 phase=D_mixed_covt +[Dataset] cur_step=7524 phase=D_mixed_covt +[Dataset] cur_step=7524 phase=D_mixed_covt + {'loss': '3.153', 'grad_norm': '4.089', 'learning_rate': '3.587e-06', 'epoch': '0.2707'} + 84%|██████████████████████████▊ | 7524/9000 [6:32:51<56:26, 2.29s/it] {'lm_loss': '0.4256', 'visual_loss': '2.498', 'seg_loss': '0.5651', 'dino_loss': '0.9205', 'depth_loss': '0.2081', 'vggt_mse_loss': '0.2064', 'vggt_cos_loss': '0.01621', 'pidinet_loss': '0.2507', 'siglip_loss': '0.5537', 'epoch': '0.2707'} + 84%|██████████████████████████▊ | 7524/9000 [6:32:53<56:26, 2.29s/it][Dataset] cur_step=7525 phase=D_mixed_covt +[Dataset] cur_step=7525 phase=D_mixed_covt +[Dataset] cur_step=7525 phase=D_mixed_covt +[Dataset] cur_step=7525 phase=D_mixed_covt +[Dataset] cur_step=7525 phase=D_mixed_covt[Dataset] cur_step=7525 phase=D_mixed_covt + + 84%|██████████████████████████▊ | 7525/9000 [6:32:53<54:26, 2.21s/it][Dataset] cur_step=7525 phase=D_mixed_covt +[Dataset] cur_step=7525 phase=D_mixed_covt + {'loss': '3.224', 'grad_norm': '4.355', 'learning_rate': '3.583e-06', 'epoch': '0.2707'} + 84%|██████████████████████████▊ | 7525/9000 [6:32:53<54:26, 2.21s/it] {'lm_loss': '0.6168', 'visual_loss': '2.622', 'seg_loss': '0.6543', 'dino_loss': '0.9069', 'depth_loss': '0.1747', 'vggt_mse_loss': '0.1734', 'vggt_cos_loss': '0.01319', 'pidinet_loss': '0.2657', 'siglip_loss': '0.6201', 'epoch': '0.2707'} + 84%|██████████████████████████▊ | 7525/9000 [6:32:55<54:26, 2.21s/it][Dataset] cur_step=7526 phase=D_mixed_covt + 84%|██████████████████████████▊ | 7526/9000 [6:32:56<57:12, 2.33s/it][Dataset] cur_step=7526 phase=D_mixed_covt[Dataset] cur_step=7526 phase=D_mixed_covt + +[Dataset] cur_step=7526 phase=D_mixed_covt[Dataset] cur_step=7526 phase=D_mixed_covt + +[Dataset] cur_step=7526 phase=D_mixed_covt +[Dataset] cur_step=7526 phase=D_mixed_covt +[Dataset] cur_step=7526 phase=D_mixed_covt + {'loss': '3.348', 'grad_norm': '4.777', 'learning_rate': '3.578e-06', 'epoch': '0.2707'} + 84%|██████████████████████████▊ | 7526/9000 [6:32:56<57:12, 2.33s/it] {'lm_loss': '0.7083', 'visual_loss': '3.866', 'seg_loss': '0.9888', 'dino_loss': '0.8906', 'depth_loss': '0.4845', 'vggt_mse_loss': '0.4796', 'vggt_cos_loss': '0.04973', 'pidinet_loss': '0.2271', 'siglip_loss': '1.275', 'epoch': '0.2707'} + 84%|██████████████████████████▊ | 7526/9000 [6:32:57<57:12, 2.33s/it][Dataset] cur_step=7527 phase=D_mixed_covt[Dataset] cur_step=7527 phase=D_mixed_covt + +[Dataset] cur_step=7527 phase=D_mixed_covt +[Dataset] cur_step=7527 phase=D_mixed_covt + 84%|██████████████████████████▊ | 7527/9000 [6:32:58<54:04, 2.20s/it][Dataset] cur_step=7527 phase=D_mixed_covt +[Dataset] cur_step=7527 phase=D_mixed_covt +[Dataset] cur_step=7527 phase=D_mixed_covt +[Dataset] cur_step=7527 phase=D_mixed_covt + {'loss': '3.429', 'grad_norm': '3.58', 'learning_rate': '3.573e-06', 'epoch': '0.2708'} + 84%|██████████████████████████▊ | 7527/9000 [6:32:58<54:04, 2.20s/it] {'lm_loss': '0.08606', 'visual_loss': '2.443', 'seg_loss': '0.681', 'dino_loss': '0.8562', 'depth_loss': '0.1453', 'vggt_mse_loss': '0.1442', 'vggt_cos_loss': '0.0108', 'pidinet_loss': '0.3151', 'siglip_loss': '0.445', 'epoch': '0.2708'} + 84%|██████████████████████████▊ | 7527/9000 [6:32:59<54:04, 2.20s/it][Dataset] cur_step=7528 phase=D_mixed_covt +[Dataset] cur_step=7528 phase=D_mixed_covt +[Dataset] cur_step=7528 phase=D_mixed_covt +[Dataset] cur_step=7528 phase=D_mixed_covt +[Dataset] cur_step=7528 phase=D_mixed_covt +[Dataset] cur_step=7528 phase=D_mixed_covt +[Dataset] cur_step=7528 phase=D_mixed_covt +[Dataset] cur_step=7528 phase=D_mixed_covt + 84%|██████████████████████████▊ | 7528/9000 [6:32:59<50:28, 2.06s/it] {'loss': '3.169', 'grad_norm': '3.334', 'learning_rate': '3.568e-06', 'epoch': '0.2708'} + 84%|██████████████████████████▊ | 7528/9000 [6:33:00<50:28, 2.06s/it] {'lm_loss': '0.894', 'visual_loss': '2.634', 'seg_loss': '0.853', 'dino_loss': '0.9235', 'depth_loss': '0.1707', 'vggt_mse_loss': '0.1695', 'vggt_cos_loss': '0.01193', 'pidinet_loss': '0.227', 'siglip_loss': '0.4593', 'epoch': '0.2708'} + 84%|██████████████████████████▊ | 7528/9000 [6:33:01<50:28, 2.06s/it][Dataset] cur_step=7529 phase=D_mixed_covt +[Dataset] cur_step=7529 phase=D_mixed_covt +[Dataset] cur_step=7529 phase=D_mixed_covt +[Dataset] cur_step=7529 phase=D_mixed_covt +[Dataset] cur_step=7529 phase=D_mixed_covt[Dataset] cur_step=7529 phase=D_mixed_covt + 84%|██████████████████████████▊ | 7529/9000 [6:33:02<53:38, 2.19s/it] +[Dataset] cur_step=7529 phase=D_mixed_covt +[Dataset] cur_step=7529 phase=D_mixed_covt + {'loss': '3.226', 'grad_norm': '2.703', 'learning_rate': '3.564e-06', 'epoch': '0.2709'} + 84%|██████████████████████████▊ | 7529/9000 [6:33:02<53:38, 2.19s/it] {'lm_loss': '0.7244', 'visual_loss': '2.546', 'seg_loss': '0.6306', 'dino_loss': '0.8618', 'depth_loss': '0.1979', 'vggt_mse_loss': '0.1965', 'vggt_cos_loss': '0.01427', 'pidinet_loss': '0.2395', 'siglip_loss': '0.6166', 'epoch': '0.2709'} + 84%|██████████████████████████▊ | 7529/9000 [6:33:04<53:38, 2.19s/it][Dataset] cur_step=7530 phase=D_mixed_covt +[Dataset] cur_step=7530 phase=D_mixed_covt +[Dataset] cur_step=7530 phase=D_mixed_covt[Dataset] cur_step=7530 phase=D_mixed_covt + + 84%|█████████████████████████ | 7530/9000 [6:33:07<1:12:27, 2.96s/it][Dataset] cur_step=7530 phase=D_mixed_covt +[Dataset] cur_step=7530 phase=D_mixed_covt +[Dataset] cur_step=7530 phase=D_mixed_covt +[Dataset] cur_step=7530 phase=D_mixed_covt + {'loss': '3.274', 'grad_norm': '19.48', 'learning_rate': '3.559e-06', 'epoch': '0.2709'} + 84%|█████████████████████████ | 7530/9000 [6:33:07<1:12:27, 2.96s/it] {'lm_loss': '0.6103', 'visual_loss': '2.573', 'seg_loss': '0.6056', 'dino_loss': '0.8916', 'depth_loss': '0.3438', 'vggt_mse_loss': '0.3407', 'vggt_cos_loss': '0.03046', 'pidinet_loss': '0.154', 'siglip_loss': '0.5781', 'epoch': '0.2709'} + 84%|█████████████████████████ | 7530/9000 [6:33:08<1:12:27, 2.96s/it][Dataset] cur_step=7531 phase=D_mixed_covt +[Dataset] cur_step=7531 phase=D_mixed_covt[Dataset] cur_step=7531 phase=D_mixed_covt + +[Dataset] cur_step=7531 phase=D_mixed_covt +[Dataset] cur_step=7531 phase=D_mixed_covt + 84%|█████████████████████████ | 7531/9000 [6:33:09<1:06:14, 2.71s/it][Dataset] cur_step=7531 phase=D_mixed_covt[Dataset] cur_step=7531 phase=D_mixed_covt + +[Dataset] cur_step=7531 phase=D_mixed_covt + {'loss': '3.268', 'grad_norm': '5.304', 'learning_rate': '3.554e-06', 'epoch': '0.2709'} + 84%|█████████████████████████ | 7531/9000 [6:33:09<1:06:14, 2.71s/it] {'lm_loss': '0.5108', 'visual_loss': '2.645', 'seg_loss': '0.843', 'dino_loss': '0.9042', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2166', 'siglip_loss': '0.6811', 'epoch': '0.2709'} + 84%|█████████████████████████ | 7531/9000 [6:33:10<1:06:14, 2.71s/it][Dataset] cur_step=7532 phase=D_mixed_covt +[Dataset] cur_step=7532 phase=D_mixed_covt +[Dataset] cur_step=7532 phase=D_mixed_covt[Dataset] cur_step=7532 phase=D_mixed_covt[Dataset] cur_step=7532 phase=D_mixed_covt + + + 84%|██████████████████████████▊ | 7532/9000 [6:33:11<58:42, 2.40s/it][Dataset] cur_step=7532 phase=D_mixed_covt[Dataset] cur_step=7532 phase=D_mixed_covt + +[Dataset] cur_step=7532 phase=D_mixed_covt + {'loss': '3.111', 'grad_norm': '5.106', 'learning_rate': '3.55e-06', 'epoch': '0.271'} + 84%|██████████████████████████▊ | 7532/9000 [6:33:11<58:42, 2.40s/it] {'lm_loss': '0.3468', 'visual_loss': '2.525', 'seg_loss': '0.6795', 'dino_loss': '0.9177', 'depth_loss': '0.2414', 'vggt_mse_loss': '0.24', 'vggt_cos_loss': '0.01485', 'pidinet_loss': '0.2547', 'siglip_loss': '0.4316', 'epoch': '0.271'} + 84%|██████████████████████████▊ | 7532/9000 [6:33:13<58:42, 2.40s/it][Dataset] cur_step=7533 phase=D_mixed_covt +[Dataset] cur_step=7533 phase=D_mixed_covt[Dataset] cur_step=7533 phase=D_mixed_covt + +[Dataset] cur_step=7533 phase=D_mixed_covt +[Dataset] cur_step=7533 phase=D_mixed_covt +[Dataset] cur_step=7533 phase=D_mixed_covt + 84%|█████████████████████████ | 7533/9000 [6:33:14<1:06:36, 2.72s/it][Dataset] cur_step=7533 phase=D_mixed_covt[Dataset] cur_step=7533 phase=D_mixed_covt + + {'loss': '2.881', 'grad_norm': '3.142', 'learning_rate': '3.545e-06', 'epoch': '0.271'} + 84%|█████████████████████████ | 7533/9000 [6:33:14<1:06:36, 2.72s/it] {'lm_loss': '0.6108', 'visual_loss': '2.759', 'seg_loss': '0.827', 'dino_loss': '0.948', 'depth_loss': '0.1712', 'vggt_mse_loss': '0.17', 'vggt_cos_loss': '0.01209', 'pidinet_loss': '0.2602', 'siglip_loss': '0.5524', 'epoch': '0.271'} + 84%|█████████████████████████ | 7533/9000 [6:33:17<1:06:36, 2.72s/it][Dataset] cur_step=7534 phase=D_mixed_covt +[Dataset] cur_step=7534 phase=D_mixed_covt +[Dataset] cur_step=7534 phase=D_mixed_covt[Dataset] cur_step=7534 phase=D_mixed_covt + +[Dataset] cur_step=7534 phase=D_mixed_covt + 84%|█████████████████████████ | 7534/9000 [6:33:21<1:39:52, 4.09s/it][Dataset] cur_step=7534 phase=D_mixed_covt +[Dataset] cur_step=7534 phase=D_mixed_covt[Dataset] cur_step=7534 phase=D_mixed_covt + + {'loss': '3.258', 'grad_norm': '2.265', 'learning_rate': '3.54e-06', 'epoch': '0.271'} + 84%|█████████████████████████ | 7534/9000 [6:33:21<1:39:52, 4.09s/it] {'lm_loss': '0.5065', 'visual_loss': '2.17', 'seg_loss': '0.5599', 'dino_loss': '0.8818', 'depth_loss': '0.229', 'vggt_mse_loss': '0.2279', 'vggt_cos_loss': '0.01086', 'pidinet_loss': '0.2618', 'siglip_loss': '0.2379', 'epoch': '0.271'} + 84%|█████████████████████████ | 7534/9000 [6:33:24<1:39:52, 4.09s/it][Dataset] cur_step=7535 phase=D_mixed_covt +[Dataset] cur_step=7535 phase=D_mixed_covt + 84%|█████████████████████████ | 7535/9000 [6:33:24<1:31:11, 3.73s/it][Dataset] cur_step=7535 phase=D_mixed_covt[Dataset] cur_step=7535 phase=D_mixed_covt + +[Dataset] cur_step=7535 phase=D_mixed_covt +[Dataset] cur_step=7535 phase=D_mixed_covt[Dataset] cur_step=7535 phase=D_mixed_covt + +[Dataset] cur_step=7535 phase=D_mixed_covt + {'loss': '3.192', 'grad_norm': '4.806', 'learning_rate': '3.535e-06', 'epoch': '0.2711'} + 84%|█████████████████████████ | 7535/9000 [6:33:24<1:31:11, 3.73s/it] {'lm_loss': '0.624', 'visual_loss': '2.601', 'seg_loss': '0.8251', 'dino_loss': '0.9307', 'depth_loss': '0.2007', 'vggt_mse_loss': '0.1994', 'vggt_cos_loss': '0.01257', 'pidinet_loss': '0.1841', 'siglip_loss': '0.46', 'epoch': '0.2711'} + 84%|█████████████████████████ | 7535/9000 [6:33:26<1:31:11, 3.73s/it][Dataset] cur_step=7536 phase=D_mixed_covt +[Dataset] cur_step=7536 phase=D_mixed_covt +[Dataset] cur_step=7536 phase=D_mixed_covt[Dataset] cur_step=7536 phase=D_mixed_covt + + 84%|█████████████████████████ | 7536/9000 [6:33:27<1:23:46, 3.43s/it][Dataset] cur_step=7536 phase=D_mixed_covt +[Dataset] cur_step=7536 phase=D_mixed_covt +[Dataset] cur_step=7536 phase=D_mixed_covt +[Dataset] cur_step=7536 phase=D_mixed_covt + {'loss': '3.44', 'grad_norm': '3.892', 'learning_rate': '3.531e-06', 'epoch': '0.2711'} + 84%|█████████████████████████ | 7536/9000 [6:33:27<1:23:46, 3.43s/it] {'lm_loss': '0.7705', 'visual_loss': '2.25', 'seg_loss': '0.5886', 'dino_loss': '0.9037', 'depth_loss': '0.1859', 'vggt_mse_loss': '0.1854', 'vggt_cos_loss': '0.005612', 'pidinet_loss': '0.2537', 'siglip_loss': '0.318', 'epoch': '0.2711'} + 84%|█████████████████████████ | 7536/9000 [6:33:28<1:23:46, 3.43s/it][Dataset] cur_step=7537 phase=D_mixed_covt[Dataset] cur_step=7537 phase=D_mixed_covt + +[Dataset] cur_step=7537 phase=D_mixed_covt + 84%|█████████████████████████ | 7537/9000 [6:33:29<1:11:57, 2.95s/it][Dataset] cur_step=7537 phase=D_mixed_covt[Dataset] cur_step=7537 phase=D_mixed_covt + +[Dataset] cur_step=7537 phase=D_mixed_covt +[Dataset] cur_step=7537 phase=D_mixed_covt +[Dataset] cur_step=7537 phase=D_mixed_covt + {'loss': '3.314', 'grad_norm': '51.84', 'learning_rate': '3.526e-06', 'epoch': '0.2711'} + 84%|█████████████████████████ | 7537/9000 [6:33:29<1:11:57, 2.95s/it] {'lm_loss': '0.4069', 'visual_loss': '2.65', 'seg_loss': '0.7833', 'dino_loss': '0.9372', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2811', 'siglip_loss': '0.6479', 'epoch': '0.2711'} + 84%|█████████████████████████ | 7537/9000 [6:33:31<1:11:57, 2.95s/it][Dataset] cur_step=7538 phase=D_mixed_covt +[Dataset] cur_step=7538 phase=D_mixed_covt +[Dataset] cur_step=7538 phase=D_mixed_covt +[Dataset] cur_step=7538 phase=D_mixed_covt[Dataset] cur_step=7538 phase=D_mixed_covt + + 84%|█████████████████████████▏ | 7538/9000 [6:33:32<1:13:29, 3.02s/it][Dataset] cur_step=7538 phase=D_mixed_covt +[Dataset] cur_step=7538 phase=D_mixed_covt +[Dataset] cur_step=7538 phase=D_mixed_covt + {'loss': '3.046', 'grad_norm': '2.833', 'learning_rate': '3.521e-06', 'epoch': '0.2712'} + 84%|█████████████████████████▏ | 7538/9000 [6:33:32<1:13:29, 3.02s/it] {'lm_loss': '0.313', 'visual_loss': '2.968', 'seg_loss': '0.6728', 'dino_loss': '0.9137', 'depth_loss': '0.4198', 'vggt_mse_loss': '0.416', 'vggt_cos_loss': '0.03755', 'pidinet_loss': '0.2903', 'siglip_loss': '0.6715', 'epoch': '0.2712'} + 84%|█████████████████████████▏ | 7538/9000 [6:33:34<1:13:29, 3.02s/it][Dataset] cur_step=7539 phase=D_mixed_covt +[Dataset] cur_step=7539 phase=D_mixed_covt +[Dataset] cur_step=7539 phase=D_mixed_covt +[Dataset] cur_step=7539 phase=D_mixed_covt +[Dataset] cur_step=7539 phase=D_mixed_covt +[Dataset] cur_step=7539 phase=D_mixed_covt + 84%|█████████████████████████▏ | 7539/9000 [6:33:34<1:09:54, 2.87s/it][Dataset] cur_step=7539 phase=D_mixed_covt +[Dataset] cur_step=7539 phase=D_mixed_covt + {'loss': '3.262', 'grad_norm': '3.729', 'learning_rate': '3.517e-06', 'epoch': '0.2712'} + 84%|█████████████████████████▏ | 7539/9000 [6:33:34<1:09:54, 2.87s/it] {'lm_loss': '1.1', 'visual_loss': '2.364', 'seg_loss': '0.5465', 'dino_loss': '0.922', 'depth_loss': '0.1578', 'vggt_mse_loss': '0.1573', 'vggt_cos_loss': '0.004882', 'pidinet_loss': '0.1642', 'siglip_loss': '0.5738', 'epoch': '0.2712'} + 84%|█████████████████████████▏ | 7539/9000 [6:33:37<1:09:54, 2.87s/it][Dataset] cur_step=7540 phase=D_mixed_covt +[Dataset] cur_step=7540 phase=D_mixed_covt +[Dataset] cur_step=7540 phase=D_mixed_covt[Dataset] cur_step=7540 phase=D_mixed_covt + +[Dataset] cur_step=7540 phase=D_mixed_covt 84%|█████████████████████████▏ | 7540/9000 [6:33:37<1:07:57, 2.79s/it] +[Dataset] cur_step=7540 phase=D_mixed_covt +[Dataset] cur_step=7540 phase=D_mixed_covt +[Dataset] cur_step=7540 phase=D_mixed_covt + {'loss': '3.23', 'grad_norm': '2.572', 'learning_rate': '3.512e-06', 'epoch': '0.2713'} + 84%|█████████████████████████▏ | 7540/9000 [6:33:37<1:07:57, 2.79s/it] {'lm_loss': '0.6695', 'visual_loss': '2.365', 'seg_loss': '0.569', 'dino_loss': '0.912', 'depth_loss': '0.4292', 'vggt_mse_loss': '0.4251', 'vggt_cos_loss': '0.04119', 'pidinet_loss': '0.08117', 'siglip_loss': '0.374', 'epoch': '0.2713'} + 84%|█████████████████████████▏ | 7540/9000 [6:33:39<1:07:57, 2.79s/it][Dataset] cur_step=7541 phase=D_mixed_covt +[Dataset] cur_step=7541 phase=D_mixed_covt +[Dataset] cur_step=7541 phase=D_mixed_covt +[Dataset] cur_step=7541 phase=D_mixed_covt[Dataset] cur_step=7541 phase=D_mixed_covt + +[Dataset] cur_step=7541 phase=D_mixed_covt +[Dataset] cur_step=7541 phase=D_mixed_covt 84%|█████████████████████████▏ | 7541/9000 [6:33:40<1:06:26, 2.73s/it] +[Dataset] cur_step=7541 phase=D_mixed_covt + {'loss': '3.226', 'grad_norm': '3.55', 'learning_rate': '3.507e-06', 'epoch': '0.2713'} + 84%|█████████████████████████▏ | 7541/9000 [6:33:40<1:06:26, 2.73s/it] {'lm_loss': '0.5623', 'visual_loss': '2.026', 'seg_loss': '0.7106', 'dino_loss': '0.8352', 'depth_loss': '0.2456', 'vggt_mse_loss': '0.2447', 'vggt_cos_loss': '0.008541', 'pidinet_loss': '0.1355', 'siglip_loss': '0.099', 'epoch': '0.2713'} + 84%|█████████████████████████▏ | 7541/9000 [6:33:42<1:06:26, 2.73s/it][Dataset] cur_step=7542 phase=D_mixed_covt +[Dataset] cur_step=7542 phase=D_mixed_covt +[Dataset] cur_step=7542 phase=D_mixed_covt +[Dataset] cur_step=7542 phase=D_mixed_covt +[Dataset] cur_step=7542 phase=D_mixed_covt + 84%|█████████████████████████▏ | 7542/9000 [6:33:42<1:03:49, 2.63s/it][Dataset] cur_step=7542 phase=D_mixed_covt +[Dataset] cur_step=7542 phase=D_mixed_covt +[Dataset] cur_step=7542 phase=D_mixed_covt + {'loss': '3.294', 'grad_norm': '5.381', 'learning_rate': '3.503e-06', 'epoch': '0.2713'} + 84%|█████████████████████████▏ | 7542/9000 [6:33:42<1:03:49, 2.63s/it] {'lm_loss': '0.6569', 'visual_loss': '2.171', 'seg_loss': '0.7323', 'dino_loss': '0.8655', 'depth_loss': '0.241', 'vggt_mse_loss': '0.2396', 'vggt_cos_loss': '0.01429', 'pidinet_loss': '0', 'siglip_loss': '0.3323', 'epoch': '0.2713'} + 84%|█████████████████████████▏ | 7542/9000 [6:33:45<1:03:49, 2.63s/it][Dataset] cur_step=7543 phase=D_mixed_covt +[Dataset] cur_step=7543 phase=D_mixed_covt +[Dataset] cur_step=7543 phase=D_mixed_covt[Dataset] cur_step=7543 phase=D_mixed_covt + + 84%|█████████████████████████▏ | 7543/9000 [6:33:45<1:07:11, 2.77s/it][Dataset] cur_step=7543 phase=D_mixed_covt +[Dataset] cur_step=7543 phase=D_mixed_covt +[Dataset] cur_step=7543 phase=D_mixed_covt +[Dataset] cur_step=7543 phase=D_mixed_covt + {'loss': '2.969', 'grad_norm': '4.535', 'learning_rate': '3.498e-06', 'epoch': '0.2714'} + 84%|█████████████████████████▏ | 7543/9000 [6:33:45<1:07:11, 2.77s/it] {'lm_loss': '0.6018', 'visual_loss': '2.245', 'seg_loss': '0.6637', 'dino_loss': '0.8699', 'depth_loss': '0.1671', 'vggt_mse_loss': '0.1663', 'vggt_cos_loss': '0.007627', 'pidinet_loss': '0.1574', 'siglip_loss': '0.3867', 'epoch': '0.2714'} + 84%|█████████████████████████▏ | 7543/9000 [6:33:48<1:07:11, 2.77s/it][Dataset] cur_step=7544 phase=D_mixed_covt +[Dataset] cur_step=7544 phase=D_mixed_covt +[Dataset] cur_step=7544 phase=D_mixed_covt[Dataset] cur_step=7544 phase=D_mixed_covt + +[Dataset] cur_step=7544 phase=D_mixed_covt 84%|█████████████████████████▏ | 7544/9000 [6:33:49<1:12:00, 2.97s/it] +[Dataset] cur_step=7544 phase=D_mixed_covt +[Dataset] cur_step=7544 phase=D_mixed_covt +[Dataset] cur_step=7544 phase=D_mixed_covt + {'loss': '3.254', 'grad_norm': '2.432', 'learning_rate': '3.493e-06', 'epoch': '0.2714'} + 84%|█████████████████████████▏ | 7544/9000 [6:33:49<1:12:00, 2.97s/it] {'lm_loss': '0.7242', 'visual_loss': '2.967', 'seg_loss': '1.024', 'dino_loss': '0.8913', 'depth_loss': '0.2983', 'vggt_mse_loss': '0.2962', 'vggt_cos_loss': '0.02087', 'pidinet_loss': '0.2669', 'siglip_loss': '0.4866', 'epoch': '0.2714'} + 84%|█████████████████████████▏ | 7544/9000 [6:33:54<1:12:00, 2.97s/it][Dataset] cur_step=7545 phase=D_mixed_covt + 84%|█████████████████████████▏ | 7545/9000 [6:33:55<1:33:52, 3.87s/it][Dataset] cur_step=7545 phase=D_mixed_covt +[Dataset] cur_step=7545 phase=D_mixed_covt +[Dataset] cur_step=7545 phase=D_mixed_covt[Dataset] cur_step=7545 phase=D_mixed_covt + +[Dataset] cur_step=7545 phase=D_mixed_covt[Dataset] cur_step=7545 phase=D_mixed_covt + +[Dataset] cur_step=7545 phase=D_mixed_covt + {'loss': '3.334', 'grad_norm': '4.956', 'learning_rate': '3.488e-06', 'epoch': '0.2714'} + 84%|█████████████████████████▏ | 7545/9000 [6:33:55<1:33:52, 3.87s/it] {'lm_loss': '0.6782', 'visual_loss': '2.684', 'seg_loss': '0.7931', 'dino_loss': '0.9218', 'depth_loss': '0.1952', 'vggt_mse_loss': '0.1938', 'vggt_cos_loss': '0.01448', 'pidinet_loss': '0.2478', 'siglip_loss': '0.5262', 'epoch': '0.2714'} + 84%|█████████████████████████▏ | 7545/9000 [6:33:59<1:33:52, 3.87s/it][Dataset] cur_step=7546 phase=D_mixed_covt +[Dataset] cur_step=7546 phase=D_mixed_covt +[Dataset] cur_step=7546 phase=D_mixed_covt +[Dataset] cur_step=7546 phase=D_mixed_covt +[Dataset] cur_step=7546 phase=D_mixed_covt +[Dataset] cur_step=7546 phase=D_mixed_covt +[Dataset] cur_step=7546 phase=D_mixed_covt +[Dataset] cur_step=7546 phase=D_mixed_covt + 84%|█████████████████████████▏ | 7546/9000 [6:34:00<1:44:35, 4.32s/it] {'loss': '3.22', 'grad_norm': '2.9', 'learning_rate': '3.484e-06', 'epoch': '0.2715'} + 84%|█████████████████████████▏ | 7546/9000 [6:34:00<1:44:35, 4.32s/it] {'lm_loss': '0.9449', 'visual_loss': '2.256', 'seg_loss': '0.5863', 'dino_loss': '0.8804', 'depth_loss': '0.1513', 'vggt_mse_loss': '0.1508', 'vggt_cos_loss': '0.00577', 'pidinet_loss': '0.175', 'siglip_loss': '0.4627', 'epoch': '0.2715'} + 84%|█████████████████████████▏ | 7546/9000 [6:34:02<1:44:35, 4.32s/it][Dataset] cur_step=7547 phase=D_mixed_covt +[Dataset] cur_step=7547 phase=D_mixed_covt +[Dataset] cur_step=7547 phase=D_mixed_covt[Dataset] cur_step=7547 phase=D_mixed_covt + +[Dataset] cur_step=7547 phase=D_mixed_covt +[Dataset] cur_step=7547 phase=D_mixed_covt + 84%|█████████████████████████▏ | 7547/9000 [6:34:03<1:32:44, 3.83s/it][Dataset] cur_step=7547 phase=D_mixed_covt +[Dataset] cur_step=7547 phase=D_mixed_covt + {'loss': '3.075', 'grad_norm': '3.108', 'learning_rate': '3.479e-06', 'epoch': '0.2715'} + 84%|█████████████████████████▏ | 7547/9000 [6:34:03<1:32:44, 3.83s/it] {'lm_loss': '0.529', 'visual_loss': '2.126', 'seg_loss': '0.949', 'dino_loss': '0.8461', 'depth_loss': '0.1918', 'vggt_mse_loss': '0.1904', 'vggt_cos_loss': '0.0148', 'pidinet_loss': '0.1386', 'siglip_loss': '0', 'epoch': '0.2715'} + 84%|█████████████████████████▏ | 7547/9000 [6:34:05<1:32:44, 3.83s/it][Dataset] cur_step=7548 phase=D_mixed_covt[Dataset] cur_step=7548 phase=D_mixed_covt +[Dataset] cur_step=7548 phase=D_mixed_covt + +[Dataset] cur_step=7548 phase=D_mixed_covt +[Dataset] cur_step=7548 phase=D_mixed_covt[Dataset] cur_step=7548 phase=D_mixed_covt + + 84%|█████████████████████████▏ | 7548/9000 [6:34:05<1:25:22, 3.53s/it][Dataset] cur_step=7548 phase=D_mixed_covt +[Dataset] cur_step=7548 phase=D_mixed_covt + {'loss': '2.664', 'grad_norm': '2.944', 'learning_rate': '3.474e-06', 'epoch': '0.2715'} + 84%|█████████████████████████▏ | 7548/9000 [6:34:05<1:25:22, 3.53s/it] {'lm_loss': '0.8823', 'visual_loss': '2.894', 'seg_loss': '0.8978', 'dino_loss': '0.961', 'depth_loss': '0.1976', 'vggt_mse_loss': '0.1959', 'vggt_cos_loss': '0.01703', 'pidinet_loss': '0.1551', 'siglip_loss': '0.6821', 'epoch': '0.2715'} + 84%|█████████████████████████▏ | 7548/9000 [6:34:07<1:25:22, 3.53s/it][Dataset] cur_step=7549 phase=D_mixed_covt +[Dataset] cur_step=7549 phase=D_mixed_covt + 84%|█████████████████████████▏ | 7549/9000 [6:34:08<1:17:56, 3.22s/it][Dataset] cur_step=7549 phase=D_mixed_covt[Dataset] cur_step=7549 phase=D_mixed_covt + +[Dataset] cur_step=7549 phase=D_mixed_covt +[Dataset] cur_step=7549 phase=D_mixed_covt[Dataset] cur_step=7549 phase=D_mixed_covt + +[Dataset] cur_step=7549 phase=D_mixed_covt + {'loss': '3.508', 'grad_norm': '2.465', 'learning_rate': '3.47e-06', 'epoch': '0.2716'} + 84%|█████████████████████████▏ | 7549/9000 [6:34:08<1:17:56, 3.22s/it] {'lm_loss': '0.9147', 'visual_loss': '2.104', 'seg_loss': '0', 'dino_loss': '0.9277', 'depth_loss': '0.3348', 'vggt_mse_loss': '0.3326', 'vggt_cos_loss': '0.02249', 'pidinet_loss': '0.2873', 'siglip_loss': '0.5538', 'epoch': '0.2716'} + 84%|█████████████████████████▏ | 7549/9000 [6:34:09<1:17:56, 3.22s/it][Dataset] cur_step=7550 phase=D_mixed_covt +[Dataset] cur_step=7550 phase=D_mixed_covt +[Dataset] cur_step=7550 phase=D_mixed_covt[Dataset] cur_step=7550 phase=D_mixed_covt +[Dataset] cur_step=7550 phase=D_mixed_covt + + 84%|█████████████████████████▏ | 7550/9000 [6:34:09<1:03:14, 2.62s/it][Dataset] cur_step=7550 phase=D_mixed_covt +[Dataset] cur_step=7550 phase=D_mixed_covt +[Dataset] cur_step=7550 phase=D_mixed_covt + {'loss': '2.562', 'grad_norm': '2.831', 'learning_rate': '3.465e-06', 'epoch': '0.2716'} + 84%|█████████████████████████▏ | 7550/9000 [6:34:09<1:03:14, 2.62s/it] {'lm_loss': '0.6095', 'visual_loss': '0.8598', 'seg_loss': '0', 'dino_loss': '0.8598', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0', 'siglip_loss': '0', 'epoch': '0.2716'} + 84%|█████████████████████████▏ | 7550/9000 [6:34:10<1:03:14, 2.62s/it][Dataset] cur_step=7551 phase=D_mixed_covt[Dataset] cur_step=7551 phase=D_mixed_covt + +[Dataset] cur_step=7551 phase=D_mixed_covt +[Dataset] cur_step=7551 phase=D_mixed_covt +[Dataset] cur_step=7551 phase=D_mixed_covt + 84%|██████████████████████████▊ | 7551/9000 [6:34:10<51:18, 2.12s/it][Dataset] cur_step=7551 phase=D_mixed_covt[Dataset] cur_step=7551 phase=D_mixed_covt + +[Dataset] cur_step=7551 phase=D_mixed_covt + {'loss': '1.887', 'grad_norm': '3.767', 'learning_rate': '3.46e-06', 'epoch': '0.2716'} + 84%|██████████████████████████▊ | 7551/9000 [6:34:10<51:18, 2.12s/it] {'lm_loss': '0.6089', 'visual_loss': '2.836', 'seg_loss': '0.7717', 'dino_loss': '0.8948', 'depth_loss': '0.3015', 'vggt_mse_loss': '0.2993', 'vggt_cos_loss': '0.0225', 'pidinet_loss': '0.1761', 'siglip_loss': '0.6919', 'epoch': '0.2716'} + 84%|██████████████████████████▊ | 7551/9000 [6:34:12<51:18, 2.12s/it][Dataset] cur_step=7552 phase=D_mixed_covt +[Dataset] cur_step=7552 phase=D_mixed_covt +[Dataset] cur_step=7552 phase=D_mixed_covt +[Dataset] cur_step=7552 phase=D_mixed_covt[Dataset] cur_step=7552 phase=D_mixed_covt + +[Dataset] cur_step=7552 phase=D_mixed_covt + 84%|██████████████████████████▊ | 7552/9000 [6:34:13<55:08, 2.28s/it][Dataset] cur_step=7552 phase=D_mixed_covt +[Dataset] cur_step=7552 phase=D_mixed_covt + {'loss': '3.334', 'grad_norm': '2.952', 'learning_rate': '3.456e-06', 'epoch': '0.2717'} + 84%|██████████████████████████▊ | 7552/9000 [6:34:13<55:08, 2.28s/it] {'lm_loss': '0.04758', 'visual_loss': '2.539', 'seg_loss': '0.779', 'dino_loss': '0.903', 'depth_loss': '0.1822', 'vggt_mse_loss': '0.181', 'vggt_cos_loss': '0.01108', 'pidinet_loss': '0.2542', 'siglip_loss': '0.4203', 'epoch': '0.2717'} + 84%|██████████████████████████▊ | 7552/9000 [6:34:15<55:08, 2.28s/it][Dataset] cur_step=7553 phase=D_mixed_covt +[Dataset] cur_step=7553 phase=D_mixed_covt +[Dataset] cur_step=7553 phase=D_mixed_covt +[Dataset] cur_step=7553 phase=D_mixed_covt +[Dataset] cur_step=7553 phase=D_mixed_covt[Dataset] cur_step=7553 phase=D_mixed_covt + + 84%|██████████████████████████▊ | 7553/9000 [6:34:15<57:48, 2.40s/it][Dataset] cur_step=7553 phase=D_mixed_covt +[Dataset] cur_step=7553 phase=D_mixed_covt + {'loss': '3.011', 'grad_norm': '2.664', 'learning_rate': '3.451e-06', 'epoch': '0.2717'} + 84%|██████████████████████████▊ | 7553/9000 [6:34:15<57:48, 2.40s/it] {'lm_loss': '0.6481', 'visual_loss': '2.415', 'seg_loss': '0.5631', 'dino_loss': '0.8993', 'depth_loss': '0.2186', 'vggt_mse_loss': '0.2168', 'vggt_cos_loss': '0.01791', 'pidinet_loss': '0.2437', 'siglip_loss': '0.49', 'epoch': '0.2717'} + 84%|██████████████████████████▊ | 7553/9000 [6:34:17<57:48, 2.40s/it][Dataset] cur_step=7554 phase=D_mixed_covt +[Dataset] cur_step=7554 phase=D_mixed_covt + 84%|██████████████████████████▊ | 7554/9000 [6:34:18<58:12, 2.42s/it][Dataset] cur_step=7554 phase=D_mixed_covt +[Dataset] cur_step=7554 phase=D_mixed_covt[Dataset] cur_step=7554 phase=D_mixed_covt +[Dataset] cur_step=7554 phase=D_mixed_covt + +[Dataset] cur_step=7554 phase=D_mixed_covt +[Dataset] cur_step=7554 phase=D_mixed_covt + {'loss': '3.105', 'grad_norm': '4.264', 'learning_rate': '3.446e-06', 'epoch': '0.2718'} + 84%|██████████████████████████▊ | 7554/9000 [6:34:18<58:12, 2.42s/it] {'lm_loss': '0.1223', 'visual_loss': '2.441', 'seg_loss': '0.7797', 'dino_loss': '0.895', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.1811', 'siglip_loss': '0.5851', 'epoch': '0.2718'} + 84%|██████████████████████████▊ | 7554/9000 [6:34:19<58:12, 2.42s/it][Dataset] cur_step=7555 phase=D_mixed_covt +[Dataset] cur_step=7555 phase=D_mixed_covt +[Dataset] cur_step=7555 phase=D_mixed_covt +[Dataset] cur_step=7555 phase=D_mixed_covt +[Dataset] cur_step=7555 phase=D_mixed_covt[Dataset] cur_step=7555 phase=D_mixed_covt + + 84%|██████████████████████████▊ | 7555/9000 [6:34:20<53:57, 2.24s/it][Dataset] cur_step=7555 phase=D_mixed_covt +[Dataset] cur_step=7555 phase=D_mixed_covt + {'loss': '3.178', 'grad_norm': '3.215', 'learning_rate': '3.442e-06', 'epoch': '0.2718'} + 84%|██████████████████████████▊ | 7555/9000 [6:34:20<53:57, 2.24s/it] {'lm_loss': '0.3071', 'visual_loss': '2.563', 'seg_loss': '0.5363', 'dino_loss': '0.8837', 'depth_loss': '0.521', 'vggt_mse_loss': '0.5172', 'vggt_cos_loss': '0.03813', 'pidinet_loss': '0.1694', 'siglip_loss': '0.4521', 'epoch': '0.2718'} + 84%|██████████████████████████▊ | 7555/9000 [6:34:22<53:57, 2.24s/it][Dataset] cur_step=7556 phase=D_mixed_covt +[Dataset] cur_step=7556 phase=D_mixed_covt[Dataset] cur_step=7556 phase=D_mixed_covt + + 84%|██████████████████████████▊ | 7556/9000 [6:34:23<58:43, 2.44s/it][Dataset] cur_step=7556 phase=D_mixed_covt +[Dataset] cur_step=7556 phase=D_mixed_covt +[Dataset] cur_step=7556 phase=D_mixed_covt +[Dataset] cur_step=7556 phase=D_mixed_covt +[Dataset] cur_step=7556 phase=D_mixed_covt + {'loss': '2.916', 'grad_norm': '1.953', 'learning_rate': '3.437e-06', 'epoch': '0.2718'} + 84%|██████████████████████████▊ | 7556/9000 [6:34:23<58:43, 2.44s/it] {'lm_loss': '1.421', 'visual_loss': '2.763', 'seg_loss': '0.934', 'dino_loss': '0.9075', 'depth_loss': '0.2423', 'vggt_mse_loss': '0.2412', 'vggt_cos_loss': '0.01093', 'pidinet_loss': '0.2221', 'siglip_loss': '0.457', 'epoch': '0.2718'} + 84%|██████████████████████████▊ | 7556/9000 [6:34:24<58:43, 2.44s/it][Dataset] cur_step=7557 phase=D_mixed_covt[Dataset] cur_step=7557 phase=D_mixed_covt + +[Dataset] cur_step=7557 phase=D_mixed_covt +[Dataset] cur_step=7557 phase=D_mixed_covt +[Dataset] cur_step=7557 phase=D_mixed_covt +[Dataset] cur_step=7557 phase=D_mixed_covt +[Dataset] cur_step=7557 phase=D_mixed_covt + 84%|██████████████████████████▊ | 7557/9000 [6:34:25<55:51, 2.32s/it][Dataset] cur_step=7557 phase=D_mixed_covt + {'loss': '3.29', 'grad_norm': '4.252', 'learning_rate': '3.433e-06', 'epoch': '0.2719'} + 84%|██████████████████████████▊ | 7557/9000 [6:34:25<55:51, 2.32s/it] {'lm_loss': '1.246', 'visual_loss': '1.771', 'seg_loss': '0.7653', 'dino_loss': '0', 'depth_loss': '0.2635', 'vggt_mse_loss': '0.2609', 'vggt_cos_loss': '0.02617', 'pidinet_loss': '0.2699', 'siglip_loss': '0.472', 'epoch': '0.2719'} + 84%|██████████████████████████▊ | 7557/9000 [6:34:26<55:51, 2.32s/it][Dataset] cur_step=7558 phase=D_mixed_covt +[Dataset] cur_step=7558 phase=D_mixed_covt +[Dataset] cur_step=7558 phase=D_mixed_covt[Dataset] cur_step=7558 phase=D_mixed_covt + +[Dataset] cur_step=7558 phase=D_mixed_covt +[Dataset] cur_step=7558 phase=D_mixed_covt + 84%|██████████████████████████▊ | 7558/9000 [6:34:27<53:03, 2.21s/it][Dataset] cur_step=7558 phase=D_mixed_covt +[Dataset] cur_step=7558 phase=D_mixed_covt + {'loss': '2.752', 'grad_norm': '3.914', 'learning_rate': '3.428e-06', 'epoch': '0.2719'} + 84%|██████████████████████████▊ | 7558/9000 [6:34:27<53:03, 2.21s/it] {'lm_loss': '0.5137', 'visual_loss': '2.226', 'seg_loss': '0.5527', 'dino_loss': '0.9374', 'depth_loss': '0.2503', 'vggt_mse_loss': '0.2485', 'vggt_cos_loss': '0.01795', 'pidinet_loss': '0.1387', 'siglip_loss': '0.3472', 'epoch': '0.2719'} + 84%|██████████████████████████▊ | 7558/9000 [6:34:28<53:03, 2.21s/it][Dataset] cur_step=7559 phase=D_mixed_covt +[Dataset] cur_step=7559 phase=D_mixed_covt + 84%|██████████████████████████▉ | 7559/9000 [6:34:29<51:14, 2.13s/it][Dataset] cur_step=7559 phase=D_mixed_covt +[Dataset] cur_step=7559 phase=D_mixed_covt +[Dataset] cur_step=7559 phase=D_mixed_covt +[Dataset] cur_step=7559 phase=D_mixed_covt +[Dataset] cur_step=7559 phase=D_mixed_covt +[Dataset] cur_step=7559 phase=D_mixed_covt + {'loss': '3.256', 'grad_norm': '9.375', 'learning_rate': '3.423e-06', 'epoch': '0.2719'} + 84%|██████████████████████████▉ | 7559/9000 [6:34:29<51:14, 2.13s/it] {'lm_loss': '0.9003', 'visual_loss': '2.782', 'seg_loss': '0.6543', 'dino_loss': '0.8827', 'depth_loss': '0.2355', 'vggt_mse_loss': '0.2339', 'vggt_cos_loss': '0.0159', 'pidinet_loss': '0.2253', 'siglip_loss': '0.7843', 'epoch': '0.2719'} + 84%|██████████████████████████▉ | 7559/9000 [6:34:30<51:14, 2.13s/it][Dataset] cur_step=7560 phase=D_mixed_covt +[Dataset] cur_step=7560 phase=D_mixed_covt +[Dataset] cur_step=7560 phase=D_mixed_covt +[Dataset] cur_step=7560 phase=D_mixed_covt +[Dataset] cur_step=7560 phase=D_mixed_covt + 84%|█████████████████████████▏ | 7560/9000 [6:34:33<1:06:06, 2.75s/it][Dataset] cur_step=7560 phase=D_mixed_covt +[Dataset] cur_step=7560 phase=D_mixed_covt +[Dataset] cur_step=7560 phase=D_mixed_covt + {'loss': '3.175', 'grad_norm': '18.99', 'learning_rate': '3.419e-06', 'epoch': '0.272'} + 84%|█████████████████████████▏ | 7560/9000 [6:34:33<1:06:06, 2.75s/it] {'lm_loss': '0.3401', 'visual_loss': '2.834', 'seg_loss': '0.766', 'dino_loss': '0.902', 'depth_loss': '0.393', 'vggt_mse_loss': '0.3897', 'vggt_cos_loss': '0.03263', 'pidinet_loss': '0.2364', 'siglip_loss': '0.5368', 'epoch': '0.272'} + 84%|█████████████████████████▏ | 7560/9000 [6:34:34<1:06:06, 2.75s/it][Dataset] cur_step=7561 phase=D_mixed_covt +[Dataset] cur_step=7561 phase=D_mixed_covt +[Dataset] cur_step=7561 phase=D_mixed_covt +[Dataset] cur_step=7561 phase=D_mixed_covt + 84%|█████████████████████████▏ | 7561/9000 [6:34:36<1:06:00, 2.75s/it][Dataset] cur_step=7561 phase=D_mixed_covt +[Dataset] cur_step=7561 phase=D_mixed_covt +[Dataset] cur_step=7561 phase=D_mixed_covt +[Dataset] cur_step=7561 phase=D_mixed_covt + {'loss': '3.131', 'grad_norm': '3.84', 'learning_rate': '3.414e-06', 'epoch': '0.272'} + 84%|█████████████████████████▏ | 7561/9000 [6:34:36<1:06:00, 2.75s/it] {'lm_loss': '0.7432', 'visual_loss': '1.716', 'seg_loss': '0', 'dino_loss': '0.9036', 'depth_loss': '0.2576', 'vggt_mse_loss': '0.2556', 'vggt_cos_loss': '0.02', 'pidinet_loss': '0.2158', 'siglip_loss': '0.3388', 'epoch': '0.272'} + 84%|█████████████████████████▏ | 7561/9000 [6:34:36<1:06:00, 2.75s/it][Dataset] cur_step=7562 phase=D_mixed_covt +[Dataset] cur_step=7562 phase=D_mixed_covt + 84%|██████████████████████████▉ | 7562/9000 [6:34:37<55:04, 2.30s/it][Dataset] cur_step=7562 phase=D_mixed_covt +[Dataset] cur_step=7562 phase=D_mixed_covt +[Dataset] cur_step=7562 phase=D_mixed_covt +[Dataset] cur_step=7562 phase=D_mixed_covt +[Dataset] cur_step=7562 phase=D_mixed_covt +[Dataset] cur_step=7562 phase=D_mixed_covt + {'loss': '2.375', 'grad_norm': '3.967', 'learning_rate': '3.409e-06', 'epoch': '0.272'} + 84%|██████████████████████████▉ | 7562/9000 [6:34:37<55:04, 2.30s/it] {'lm_loss': '1.671', 'visual_loss': '1.418', 'seg_loss': '0', 'dino_loss': '0', 'depth_loss': '0.2223', 'vggt_mse_loss': '0.221', 'vggt_cos_loss': '0.01292', 'pidinet_loss': '0.2838', 'siglip_loss': '0.9121', 'epoch': '0.272'} + 84%|██████████████████████████▉ | 7562/9000 [6:34:37<55:04, 2.30s/it][Dataset] cur_step=7563 phase=D_mixed_covt[Dataset] cur_step=7563 phase=D_mixed_covt +[Dataset] cur_step=7563 phase=D_mixed_covt + +[Dataset] cur_step=7563 phase=D_mixed_covt + 84%|██████████████████████████▉ | 7563/9000 [6:34:38<46:26, 1.94s/it][Dataset] cur_step=7563 phase=D_mixed_covt +[Dataset] cur_step=7563 phase=D_mixed_covt +[Dataset] cur_step=7563 phase=D_mixed_covt +[Dataset] cur_step=7563 phase=D_mixed_covt + {'loss': '2.094', 'grad_norm': '3.141', 'learning_rate': '3.405e-06', 'epoch': '0.2721'} + 84%|██████████████████████████▉ | 7563/9000 [6:34:38<46:26, 1.94s/it] {'lm_loss': '1.098', 'visual_loss': '2.061', 'seg_loss': '0.9893', 'dino_loss': '0', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0', 'siglip_loss': '1.071', 'epoch': '0.2721'} + 84%|██████████████████████████▉ | 7563/9000 [6:34:39<46:26, 1.94s/it][Dataset] cur_step=7564 phase=D_mixed_covt +[Dataset] cur_step=7564 phase=D_mixed_covt +[Dataset] cur_step=7564 phase=D_mixed_covt[Dataset] cur_step=7564 phase=D_mixed_covt + +[Dataset] cur_step=7564 phase=D_mixed_covt +[Dataset] cur_step=7564 phase=D_mixed_covt +[Dataset] cur_step=7564 phase=D_mixed_covt + 84%|██████████████████████████▉ | 7564/9000 [6:34:39<43:09, 1.80s/it][Dataset] cur_step=7564 phase=D_mixed_covt + {'loss': '2.123', 'grad_norm': '4.812', 'learning_rate': '3.4e-06', 'epoch': '0.2721'} + 84%|██████████████████████████▉ | 7564/9000 [6:34:39<43:09, 1.80s/it] {'lm_loss': '0.06763', 'visual_loss': '2.656', 'seg_loss': '0.8022', 'dino_loss': '0.9157', 'depth_loss': '0.2532', 'vggt_mse_loss': '0.2514', 'vggt_cos_loss': '0.01778', 'pidinet_loss': '0.2523', 'siglip_loss': '0.4322', 'epoch': '0.2721'} + 84%|██████████████████████████▉ | 7564/9000 [6:34:41<43:09, 1.80s/it][Dataset] cur_step=7565 phase=D_mixed_covt +[Dataset] cur_step=7565 phase=D_mixed_covt +[Dataset] cur_step=7565 phase=D_mixed_covt +[Dataset] cur_step=7565 phase=D_mixed_covt +[Dataset] cur_step=7565 phase=D_mixed_covt +[Dataset] cur_step=7565 phase=D_mixed_covt[Dataset] cur_step=7565 phase=D_mixed_covt + + 84%|█████████████████████████▏ | 7565/9000 [6:34:44<1:00:22, 2.52s/it][Dataset] cur_step=7565 phase=D_mixed_covt + {'loss': '3.064', 'grad_norm': '3.042', 'learning_rate': '3.395e-06', 'epoch': '0.2722'} + 84%|█████████████████████████▏ | 7565/9000 [6:34:44<1:00:22, 2.52s/it] {'lm_loss': '0.5377', 'visual_loss': '2.11', 'seg_loss': '0.7166', 'dino_loss': '0.902', 'depth_loss': '0.2413', 'vggt_mse_loss': '0.2394', 'vggt_cos_loss': '0.01946', 'pidinet_loss': '0.2499', 'siglip_loss': '0', 'epoch': '0.2722'} + 84%|█████████████████████████▏ | 7565/9000 [6:34:45<1:00:22, 2.52s/it][Dataset] cur_step=7566 phase=D_mixed_covt +[Dataset] cur_step=7566 phase=D_mixed_covt[Dataset] cur_step=7566 phase=D_mixed_covt + +[Dataset] cur_step=7566 phase=D_mixed_covt + 84%|█████████████████████████▏ | 7566/9000 [6:34:46<1:01:01, 2.55s/it][Dataset] cur_step=7566 phase=D_mixed_covt +[Dataset] cur_step=7566 phase=D_mixed_covt +[Dataset] cur_step=7566 phase=D_mixed_covt +[Dataset] cur_step=7566 phase=D_mixed_covt + {'loss': '2.785', 'grad_norm': '3.173', 'learning_rate': '3.391e-06', 'epoch': '0.2722'} + 84%|█████████████████████████▏ | 7566/9000 [6:34:46<1:01:01, 2.55s/it] {'lm_loss': '0.7811', 'visual_loss': '2.489', 'seg_loss': '0.615', 'dino_loss': '0.9228', 'depth_loss': '0.2178', 'vggt_mse_loss': '0.216', 'vggt_cos_loss': '0.01711', 'pidinet_loss': '0.2561', 'siglip_loss': '0.4776', 'epoch': '0.2722'} + 84%|█████████████████████████▏ | 7566/9000 [6:34:48<1:01:01, 2.55s/it][Dataset] cur_step=7567 phase=D_mixed_covt +[Dataset] cur_step=7567 phase=D_mixed_covt +[Dataset] cur_step=7567 phase=D_mixed_covt + 84%|█████████████████████████▏ | 7567/9000 [6:34:49<1:01:42, 2.58s/it][Dataset] cur_step=7567 phase=D_mixed_covt +[Dataset] cur_step=7567 phase=D_mixed_covt +[Dataset] cur_step=7567 phase=D_mixed_covt[Dataset] cur_step=7567 phase=D_mixed_covt + +[Dataset] cur_step=7567 phase=D_mixed_covt + {'loss': '3.519', 'grad_norm': '2.705', 'learning_rate': '3.386e-06', 'epoch': '0.2722'} + 84%|█████████████████████████▏ | 7567/9000 [6:34:49<1:01:42, 2.58s/it] {'lm_loss': '0.3866', 'visual_loss': '2.631', 'seg_loss': '0.7155', 'dino_loss': '0.8977', 'depth_loss': '0.1946', 'vggt_mse_loss': '0.1936', 'vggt_cos_loss': '0.009462', 'pidinet_loss': '0.2179', 'siglip_loss': '0.605', 'epoch': '0.2722'} + 84%|█████████████████████████▏ | 7567/9000 [6:34:51<1:01:42, 2.58s/it][Dataset] cur_step=7568 phase=D_mixed_covt +[Dataset] cur_step=7568 phase=D_mixed_covt +[Dataset] cur_step=7568 phase=D_mixed_covt[Dataset] cur_step=7568 phase=D_mixed_covt + +[Dataset] cur_step=7568 phase=D_mixed_covt +[Dataset] cur_step=7568 phase=D_mixed_covt +[Dataset] cur_step=7568 phase=D_mixed_covt +[Dataset] cur_step=7568 phase=D_mixed_covt + 84%|█████████████████████████▏ | 7568/9000 [6:34:52<1:03:52, 2.68s/it] {'loss': '3.094', 'grad_norm': '3.11', 'learning_rate': '3.382e-06', 'epoch': '0.2723'} + 84%|█████████████████████████▏ | 7568/9000 [6:34:52<1:03:52, 2.68s/it] {'lm_loss': '0.4141', 'visual_loss': '2.381', 'seg_loss': '0.3594', 'dino_loss': '0.9049', 'depth_loss': '0.1958', 'vggt_mse_loss': '0.1942', 'vggt_cos_loss': '0.01539', 'pidinet_loss': '0.3174', 'siglip_loss': '0.6039', 'epoch': '0.2723'} + 84%|█████████████████████████▏ | 7568/9000 [6:34:54<1:03:52, 2.68s/it][Dataset] cur_step=7569 phase=D_mixed_covt +[Dataset] cur_step=7569 phase=D_mixed_covt +[Dataset] cur_step=7569 phase=D_mixed_covt +[Dataset] cur_step=7569 phase=D_mixed_covt[Dataset] cur_step=7569 phase=D_mixed_covt + +[Dataset] cur_step=7569 phase=D_mixed_covt + 84%|█████████████████████████▏ | 7569/9000 [6:34:55<1:05:15, 2.74s/it][Dataset] cur_step=7569 phase=D_mixed_covt +[Dataset] cur_step=7569 phase=D_mixed_covt + {'loss': '2.958', 'grad_norm': '4.988', 'learning_rate': '3.377e-06', 'epoch': '0.2723'} + 84%|█████████████████████████▏ | 7569/9000 [6:34:55<1:05:15, 2.74s/it] {'lm_loss': '0.8346', 'visual_loss': '2.579', 'seg_loss': '0.711', 'dino_loss': '0.8948', 'depth_loss': '0.221', 'vggt_mse_loss': '0.2196', 'vggt_cos_loss': '0.01363', 'pidinet_loss': '0.2736', 'siglip_loss': '0.4786', 'epoch': '0.2723'} + 84%|█████████████████████████▏ | 7569/9000 [6:34:56<1:05:15, 2.74s/it][Dataset] cur_step=7570 phase=D_mixed_covt +[Dataset] cur_step=7570 phase=D_mixed_covt +[Dataset] cur_step=7570 phase=D_mixed_covt[Dataset] cur_step=7570 phase=D_mixed_covt + +[Dataset] cur_step=7570 phase=D_mixed_covt + 84%|█████████████████████████▏ | 7570/9000 [6:34:57<1:01:30, 2.58s/it][Dataset] cur_step=7570 phase=D_mixed_covt +[Dataset] cur_step=7570 phase=D_mixed_covt +[Dataset] cur_step=7570 phase=D_mixed_covt + {'loss': '3.301', 'grad_norm': '4.758', 'learning_rate': '3.372e-06', 'epoch': '0.2723'} + 84%|█████████████████████████▏ | 7570/9000 [6:34:57<1:01:30, 2.58s/it] {'lm_loss': '0.1095', 'visual_loss': '2.74', 'seg_loss': '0.4191', 'dino_loss': '0.8974', 'depth_loss': '0.1838', 'vggt_mse_loss': '0.1824', 'vggt_cos_loss': '0.01374', 'pidinet_loss': '0.3714', 'siglip_loss': '0.8687', 'epoch': '0.2723'} + 84%|█████████████████████████▏ | 7570/9000 [6:34:59<1:01:30, 2.58s/it][Dataset] cur_step=7571 phase=D_mixed_covt +[Dataset] cur_step=7571 phase=D_mixed_covt[Dataset] cur_step=7571 phase=D_mixed_covt + + 84%|█████████████████████████▏ | 7571/9000 [6:35:02<1:18:44, 3.31s/it][Dataset] cur_step=7571 phase=D_mixed_covt +[Dataset] cur_step=7571 phase=D_mixed_covt +[Dataset] cur_step=7571 phase=D_mixed_covt +[Dataset] cur_step=7571 phase=D_mixed_covt +[Dataset] cur_step=7571 phase=D_mixed_covt + {'loss': '3.162', 'grad_norm': '2.779', 'learning_rate': '3.368e-06', 'epoch': '0.2724'} + 84%|█████████████████████████▏ | 7571/9000 [6:35:02<1:18:44, 3.31s/it] {'lm_loss': '0.3269', 'visual_loss': '2.743', 'seg_loss': '0.8003', 'dino_loss': '0.9026', 'depth_loss': '0.1455', 'vggt_mse_loss': '0.1443', 'vggt_cos_loss': '0.01171', 'pidinet_loss': '0.3135', 'siglip_loss': '0.5814', 'epoch': '0.2724'} + 84%|█████████████████████████▏ | 7571/9000 [6:35:04<1:18:44, 3.31s/it][Dataset] cur_step=7572 phase=D_mixed_covt +[Dataset] cur_step=7572 phase=D_mixed_covt +[Dataset] cur_step=7572 phase=D_mixed_covt +[Dataset] cur_step=7572 phase=D_mixed_covt[Dataset] cur_step=7572 phase=D_mixed_covt + +[Dataset] cur_step=7572 phase=D_mixed_covt + 84%|█████████████████████████▏ | 7572/9000 [6:35:04<1:12:32, 3.05s/it][Dataset] cur_step=7572 phase=D_mixed_covt +[Dataset] cur_step=7572 phase=D_mixed_covt + {'loss': '3.067', 'grad_norm': '3.741', 'learning_rate': '3.363e-06', 'epoch': '0.2724'} + 84%|█████████████████████████▏ | 7572/9000 [6:35:04<1:12:32, 3.05s/it] {'lm_loss': '0.9095', 'visual_loss': '2.905', 'seg_loss': '0.7713', 'dino_loss': '0.9242', 'depth_loss': '0.1867', 'vggt_mse_loss': '0.1856', 'vggt_cos_loss': '0.0111', 'pidinet_loss': '0.2442', 'siglip_loss': '0.7788', 'epoch': '0.2724'} + 84%|█████████████████████████▏ | 7572/9000 [6:35:06<1:12:32, 3.05s/it][Dataset] cur_step=7573 phase=D_mixed_covt[Dataset] cur_step=7573 phase=D_mixed_covt +[Dataset] cur_step=7573 phase=D_mixed_covt + +[Dataset] cur_step=7573 phase=D_mixed_covt +[Dataset] cur_step=7573 phase=D_mixed_covt 84%|█████████████████████████▏ | 7573/9000 [6:35:06<1:05:14, 2.74s/it] +[Dataset] cur_step=7573 phase=D_mixed_covt +[Dataset] cur_step=7573 phase=D_mixed_covt +[Dataset] cur_step=7573 phase=D_mixed_covt + {'loss': '3.096', 'grad_norm': '7.696', 'learning_rate': '3.359e-06', 'epoch': '0.2724'} + 84%|█████████████████████████▏ | 7573/9000 [6:35:06<1:05:14, 2.74s/it] {'lm_loss': '0.5155', 'visual_loss': '2.553', 'seg_loss': '0.7261', 'dino_loss': '0.9315', 'depth_loss': '0.3086', 'vggt_mse_loss': '0.306', 'vggt_cos_loss': '0.0258', 'pidinet_loss': '0.1974', 'siglip_loss': '0.3897', 'epoch': '0.2724'} + 84%|█████████████████████████▏ | 7573/9000 [6:35:10<1:05:14, 2.74s/it][Dataset] cur_step=7574 phase=D_mixed_covt +[Dataset] cur_step=7574 phase=D_mixed_covt +[Dataset] cur_step=7574 phase=D_mixed_covt +[Dataset] cur_step=7574 phase=D_mixed_covt +[Dataset] cur_step=7574 phase=D_mixed_covt +[Dataset] cur_step=7574 phase=D_mixed_covt +[Dataset] cur_step=7574 phase=D_mixed_covt + 84%|█████████████████████████▏ | 7574/9000 [6:35:10<1:13:09, 3.08s/it][Dataset] cur_step=7574 phase=D_mixed_covt + {'loss': '3.186', 'grad_norm': '2.895', 'learning_rate': '3.354e-06', 'epoch': '0.2725'} + 84%|█████████████████████████▏ | 7574/9000 [6:35:10<1:13:09, 3.08s/it] {'lm_loss': '0.8186', 'visual_loss': '2.689', 'seg_loss': '0.7127', 'dino_loss': '0.9191', 'depth_loss': '0.354', 'vggt_mse_loss': '0.3514', 'vggt_cos_loss': '0.02649', 'pidinet_loss': '0.2582', 'siglip_loss': '0.4447', 'epoch': '0.2725'} + 84%|█████████████████████████▏ | 7574/9000 [6:35:12<1:13:09, 3.08s/it][Dataset] cur_step=7575 phase=D_mixed_covt +[Dataset] cur_step=7575 phase=D_mixed_covt +[Dataset] cur_step=7575 phase=D_mixed_covt +[Dataset] cur_step=7575 phase=D_mixed_covt +[Dataset] cur_step=7575 phase=D_mixed_covt +[Dataset] cur_step=7575 phase=D_mixed_covt[Dataset] cur_step=7575 phase=D_mixed_covt + + 84%|█████████████████████████▎ | 7575/9000 [6:35:14<1:20:38, 3.40s/it][Dataset] cur_step=7575 phase=D_mixed_covt + {'loss': '3.537', 'grad_norm': '3.919', 'learning_rate': '3.349e-06', 'epoch': '0.2725'} + 84%|█████████████████████████▎ | 7575/9000 [6:35:14<1:20:38, 3.40s/it] {'lm_loss': '0.368', 'visual_loss': '2.647', 'seg_loss': '0.7825', 'dino_loss': '0.912', 'depth_loss': '0.2925', 'vggt_mse_loss': '0.2903', 'vggt_cos_loss': '0.02211', 'pidinet_loss': '0.207', 'siglip_loss': '0.4525', 'epoch': '0.2725'} + 84%|█████████████████████████▎ | 7575/9000 [6:35:15<1:20:38, 3.40s/it][Dataset] cur_step=7576 phase=D_mixed_covt +[Dataset] cur_step=7576 phase=D_mixed_covt +[Dataset] cur_step=7576 phase=D_mixed_covt +[Dataset] cur_step=7576 phase=D_mixed_covt +[Dataset] cur_step=7576 phase=D_mixed_covt +[Dataset] cur_step=7576 phase=D_mixed_covt + 84%|█████████████████████████▎ | 7576/9000 [6:35:16<1:10:02, 2.95s/it][Dataset] cur_step=7576 phase=D_mixed_covt +[Dataset] cur_step=7576 phase=D_mixed_covt + {'loss': '3.095', 'grad_norm': '4.363', 'learning_rate': '3.345e-06', 'epoch': '0.2725'} + 84%|█████████████████████████▎ | 7576/9000 [6:35:16<1:10:02, 2.95s/it] {'lm_loss': '0.7668', 'visual_loss': '2.463', 'seg_loss': '0.6984', 'dino_loss': '0.9071', 'depth_loss': '0.2341', 'vggt_mse_loss': '0.2323', 'vggt_cos_loss': '0.01756', 'pidinet_loss': '0.1315', 'siglip_loss': '0.4916', 'epoch': '0.2725'} + 84%|█████████████████████████▎ | 7576/9000 [6:35:19<1:10:02, 2.95s/it][Dataset] cur_step=7577 phase=D_mixed_covt +[Dataset] cur_step=7577 phase=D_mixed_covt[Dataset] cur_step=7577 phase=D_mixed_covt + +[Dataset] cur_step=7577 phase=D_mixed_covt + 84%|█████████████████████████▎ | 7577/9000 [6:35:19<1:11:27, 3.01s/it][Dataset] cur_step=7577 phase=D_mixed_covt +[Dataset] cur_step=7577 phase=D_mixed_covt +[Dataset] cur_step=7577 phase=D_mixed_covt +[Dataset] cur_step=7577 phase=D_mixed_covt + {'loss': '3.349', 'grad_norm': '2.842', 'learning_rate': '3.34e-06', 'epoch': '0.2726'} + 84%|█████████████████████████▎ | 7577/9000 [6:35:19<1:11:27, 3.01s/it] {'lm_loss': '0.9531', 'visual_loss': '2.437', 'seg_loss': '0.6869', 'dino_loss': '0.9172', 'depth_loss': '0.1923', 'vggt_mse_loss': '0.1909', 'vggt_cos_loss': '0.01402', 'pidinet_loss': '0.2534', 'siglip_loss': '0.3873', 'epoch': '0.2726'} + 84%|█████████████████████████▎ | 7577/9000 [6:35:22<1:11:27, 3.01s/it][Dataset] cur_step=7578 phase=D_mixed_covt +[Dataset] cur_step=7578 phase=D_mixed_covt + 84%|█████████████████████████▎ | 7578/9000 [6:35:22<1:09:35, 2.94s/it][Dataset] cur_step=7578 phase=D_mixed_covt +[Dataset] cur_step=7578 phase=D_mixed_covt +[Dataset] cur_step=7578 phase=D_mixed_covt[Dataset] cur_step=7578 phase=D_mixed_covt +[Dataset] cur_step=7578 phase=D_mixed_covt +[Dataset] cur_step=7578 phase=D_mixed_covt + + {'loss': '3.205', 'grad_norm': '3.288', 'learning_rate': '3.336e-06', 'epoch': '0.2726'} + 84%|█████████████████████████▎ | 7578/9000 [6:35:22<1:09:35, 2.94s/it] {'lm_loss': '0.09649', 'visual_loss': '2.269', 'seg_loss': '0.4908', 'dino_loss': '0.8284', 'depth_loss': '0.235', 'vggt_mse_loss': '0.2333', 'vggt_cos_loss': '0.01711', 'pidinet_loss': '0.1658', 'siglip_loss': '0.5486', 'epoch': '0.2726'} + 84%|█████████████████████████▎ | 7578/9000 [6:35:25<1:09:35, 2.94s/it][Dataset] cur_step=7579 phase=D_mixed_covt +[Dataset] cur_step=7579 phase=D_mixed_covt +[Dataset] cur_step=7579 phase=D_mixed_covt +[Dataset] cur_step=7579 phase=D_mixed_covt + 84%|█████████████████████████▎ | 7579/9000 [6:35:26<1:13:42, 3.11s/it][Dataset] cur_step=7579 phase=D_mixed_covt +[Dataset] cur_step=7579 phase=D_mixed_covt[Dataset] cur_step=7579 phase=D_mixed_covt + +[Dataset] cur_step=7579 phase=D_mixed_covt + {'loss': '3.071', 'grad_norm': '4.242', 'learning_rate': '3.331e-06', 'epoch': '0.2727'} + 84%|█████████████████████████▎ | 7579/9000 [6:35:26<1:13:42, 3.11s/it] {'lm_loss': '0.8314', 'visual_loss': '2.947', 'seg_loss': '0.6504', 'dino_loss': '0.9487', 'depth_loss': '0.7212', 'vggt_mse_loss': '0.7158', 'vggt_cos_loss': '0.05345', 'pidinet_loss': '0.1892', 'siglip_loss': '0.4375', 'epoch': '0.2727'} + 84%|█████████████████████████▎ | 7579/9000 [6:35:27<1:13:42, 3.11s/it][Dataset] cur_step=7580 phase=D_mixed_covt +[Dataset] cur_step=7580 phase=D_mixed_covt +[Dataset] cur_step=7580 phase=D_mixed_covt +[Dataset] cur_step=7580 phase=D_mixed_covt +[Dataset] cur_step=7580 phase=D_mixed_covt + 84%|█████████████████████████▎ | 7580/9000 [6:35:28<1:04:51, 2.74s/it][Dataset] cur_step=7580 phase=D_mixed_covt +[Dataset] cur_step=7580 phase=D_mixed_covt +[Dataset] cur_step=7580 phase=D_mixed_covt + {'loss': '3.37', 'grad_norm': '4.031', 'learning_rate': '3.326e-06', 'epoch': '0.2727'} + 84%|█████████████████████████▎ | 7580/9000 [6:35:28<1:04:51, 2.74s/it] {'lm_loss': '0.7645', 'visual_loss': '2.722', 'seg_loss': '0.6374', 'dino_loss': '0.9194', 'depth_loss': '0.1813', 'vggt_mse_loss': '0.1802', 'vggt_cos_loss': '0.01156', 'pidinet_loss': '0.2997', 'siglip_loss': '0.6844', 'epoch': '0.2727'} + 84%|█████████████████████████▎ | 7580/9000 [6:35:30<1:04:51, 2.74s/it][Dataset] cur_step=7581 phase=D_mixed_covt +[Dataset] cur_step=7581 phase=D_mixed_covt +[Dataset] cur_step=7581 phase=D_mixed_covt + 84%|█████████████████████████▎ | 7581/9000 [6:35:30<1:03:25, 2.68s/it][Dataset] cur_step=7581 phase=D_mixed_covt +[Dataset] cur_step=7581 phase=D_mixed_covt +[Dataset] cur_step=7581 phase=D_mixed_covt +[Dataset] cur_step=7581 phase=D_mixed_covt +[Dataset] cur_step=7581 phase=D_mixed_covt + {'loss': '3.09', 'grad_norm': '8.368', 'learning_rate': '3.322e-06', 'epoch': '0.2727'} + 84%|█████████████████████████▎ | 7581/9000 [6:35:30<1:03:25, 2.68s/it] {'lm_loss': '0.7325', 'visual_loss': '2.628', 'seg_loss': '0.7', 'dino_loss': '0.9379', 'depth_loss': '0.3085', 'vggt_mse_loss': '0.3055', 'vggt_cos_loss': '0.02992', 'pidinet_loss': '0.2709', 'siglip_loss': '0.4107', 'epoch': '0.2727'} + 84%|█████████████████████████▎ | 7581/9000 [6:35:33<1:03:25, 2.68s/it][Dataset] cur_step=7582 phase=D_mixed_covt +[Dataset] cur_step=7582 phase=D_mixed_covt[Dataset] cur_step=7582 phase=D_mixed_covt + +[Dataset] cur_step=7582 phase=D_mixed_covt + 84%|█████████████████████████▎ | 7582/9000 [6:35:34<1:08:55, 2.92s/it][Dataset] cur_step=7582 phase=D_mixed_covt +[Dataset] cur_step=7582 phase=D_mixed_covt +[Dataset] cur_step=7582 phase=D_mixed_covt +[Dataset] cur_step=7582 phase=D_mixed_covt + {'loss': '3.237', 'grad_norm': '3.031', 'learning_rate': '3.317e-06', 'epoch': '0.2728'} + 84%|█████████████████████████▎ | 7582/9000 [6:35:34<1:08:55, 2.92s/it] {'lm_loss': '0.6895', 'visual_loss': '2.684', 'seg_loss': '0.7164', 'dino_loss': '0.9453', 'depth_loss': '0.2426', 'vggt_mse_loss': '0.241', 'vggt_cos_loss': '0.01617', 'pidinet_loss': '0.292', 'siglip_loss': '0.4881', 'epoch': '0.2728'} + 84%|█████████████████████████▎ | 7582/9000 [6:35:35<1:08:55, 2.92s/it][Dataset] cur_step=7583 phase=D_mixed_covt +[Dataset] cur_step=7583 phase=D_mixed_covt[Dataset] cur_step=7583 phase=D_mixed_covt + + 84%|█████████████████████████▎ | 7583/9000 [6:35:36<1:07:22, 2.85s/it][Dataset] cur_step=7583 phase=D_mixed_covt +[Dataset] cur_step=7583 phase=D_mixed_covt +[Dataset] cur_step=7583 phase=D_mixed_covt +[Dataset] cur_step=7583 phase=D_mixed_covt +[Dataset] cur_step=7583 phase=D_mixed_covt + {'loss': '3.155', 'grad_norm': '9.772', 'learning_rate': '3.313e-06', 'epoch': '0.2728'} + 84%|█████████████████████████▎ | 7583/9000 [6:35:36<1:07:22, 2.85s/it] {'lm_loss': '0.08229', 'visual_loss': '2.493', 'seg_loss': '0.655', 'dino_loss': '0.9164', 'depth_loss': '0.1612', 'vggt_mse_loss': '0.16', 'vggt_cos_loss': '0.01116', 'pidinet_loss': '0.1661', 'siglip_loss': '0.5946', 'epoch': '0.2728'} + 84%|█████████████████████████▎ | 7583/9000 [6:35:37<1:07:22, 2.85s/it][Dataset] cur_step=7584 phase=D_mixed_covt +[Dataset] cur_step=7584 phase=D_mixed_covt[Dataset] cur_step=7584 phase=D_mixed_covt[Dataset] cur_step=7584 phase=D_mixed_covt +[Dataset] cur_step=7584 phase=D_mixed_covt + + +[Dataset] cur_step=7584 phase=D_mixed_covt + 84%|██████████████████████████▉ | 7584/9000 [6:35:38<59:59, 2.54s/it][Dataset] cur_step=7584 phase=D_mixed_covt +[Dataset] cur_step=7584 phase=D_mixed_covt + {'loss': '3.2', 'grad_norm': '2.939', 'learning_rate': '3.308e-06', 'epoch': '0.2728'} + 84%|██████████████████████████▉ | 7584/9000 [6:35:38<59:59, 2.54s/it] {'lm_loss': '0.171', 'visual_loss': '1.098', 'seg_loss': '0', 'dino_loss': '0.8978', 'depth_loss': '0.2005', 'vggt_mse_loss': '0.1988', 'vggt_cos_loss': '0.01738', 'pidinet_loss': '0', 'siglip_loss': '0', 'epoch': '0.2728'} + 84%|██████████████████████████▉ | 7584/9000 [6:35:39<59:59, 2.54s/it][Dataset] cur_step=7585 phase=D_mixed_covt[Dataset] cur_step=7585 phase=D_mixed_covt + +[Dataset] cur_step=7585 phase=D_mixed_covt +[Dataset] cur_step=7585 phase=D_mixed_covt + 84%|██████████████████████████▉ | 7585/9000 [6:35:39<50:07, 2.13s/it][Dataset] cur_step=7585 phase=D_mixed_covt +[Dataset] cur_step=7585 phase=D_mixed_covt +[Dataset] cur_step=7585 phase=D_mixed_covt +[Dataset] cur_step=7585 phase=D_mixed_covt + {'loss': '2.163', 'grad_norm': '2.899', 'learning_rate': '3.304e-06', 'epoch': '0.2729'} + 84%|██████████████████████████▉ | 7585/9000 [6:35:39<50:07, 2.13s/it] {'lm_loss': '0.6385', 'visual_loss': '2.76', 'seg_loss': '0.8081', 'dino_loss': '0.9326', 'depth_loss': '0.2807', 'vggt_mse_loss': '0.2792', 'vggt_cos_loss': '0.01587', 'pidinet_loss': '0.2541', 'siglip_loss': '0.4842', 'epoch': '0.2729'} + 84%|██████████████████████████▉ | 7585/9000 [6:35:41<50:07, 2.13s/it][Dataset] cur_step=7586 phase=D_mixed_covt +[Dataset] cur_step=7586 phase=D_mixed_covt +[Dataset] cur_step=7586 phase=D_mixed_covt +[Dataset] cur_step=7586 phase=D_mixed_covt + 84%|██████████████████████████▉ | 7586/9000 [6:35:42<54:09, 2.30s/it][Dataset] cur_step=7586 phase=D_mixed_covt +[Dataset] cur_step=7586 phase=D_mixed_covt +[Dataset] cur_step=7586 phase=D_mixed_covt +[Dataset] cur_step=7586 phase=D_mixed_covt + {'loss': '3.086', 'grad_norm': '3.269', 'learning_rate': '3.299e-06', 'epoch': '0.2729'} + 84%|██████████████████████████▉ | 7586/9000 [6:35:42<54:09, 2.30s/it] {'lm_loss': '0.622', 'visual_loss': '2.857', 'seg_loss': '0.7866', 'dino_loss': '0.9188', 'depth_loss': '0.196', 'vggt_mse_loss': '0.195', 'vggt_cos_loss': '0.00965', 'pidinet_loss': '0.3051', 'siglip_loss': '0.6503', 'epoch': '0.2729'} + 84%|██████████████████████████▉ | 7586/9000 [6:35:43<54:09, 2.30s/it][Dataset] cur_step=7587 phase=D_mixed_covt +[Dataset] cur_step=7587 phase=D_mixed_covt +[Dataset] cur_step=7587 phase=D_mixed_covt + 84%|██████████████████████████▉ | 7587/9000 [6:35:44<51:32, 2.19s/it][Dataset] cur_step=7587 phase=D_mixed_covt +[Dataset] cur_step=7587 phase=D_mixed_covt +[Dataset] cur_step=7587 phase=D_mixed_covt +[Dataset] cur_step=7587 phase=D_mixed_covt +[Dataset] cur_step=7587 phase=D_mixed_covt + {'loss': '3.377', 'grad_norm': '2.526', 'learning_rate': '3.294e-06', 'epoch': '0.2729'} + 84%|██████████████████████████▉ | 7587/9000 [6:35:44<51:32, 2.19s/it] {'lm_loss': '1.163', 'visual_loss': '1.211', 'seg_loss': '0', 'dino_loss': '0', 'depth_loss': '0.5064', 'vggt_mse_loss': '0.5027', 'vggt_cos_loss': '0.03633', 'pidinet_loss': '0', 'siglip_loss': '0.7046', 'epoch': '0.2729'} + 84%|██████████████████████████▉ | 7587/9000 [6:35:45<51:32, 2.19s/it][Dataset] cur_step=7588 phase=D_mixed_covt +[Dataset] cur_step=7588 phase=D_mixed_covt +[Dataset] cur_step=7588 phase=D_mixed_covt +[Dataset] cur_step=7588 phase=D_mixed_covt +[Dataset] cur_step=7588 phase=D_mixed_covt +[Dataset] cur_step=7588 phase=D_mixed_covt +[Dataset] cur_step=7588 phase=D_mixed_covt +[Dataset] cur_step=7588 phase=D_mixed_covt + 84%|██████████████████████████▉ | 7588/9000 [6:35:45<45:25, 1.93s/it] {'loss': '1.722', 'grad_norm': '4.399', 'learning_rate': '3.29e-06', 'epoch': '0.273'} + 84%|██████████████████████████▉ | 7588/9000 [6:35:45<45:25, 1.93s/it] {'lm_loss': '1.006', 'visual_loss': '1.888', 'seg_loss': '0', 'dino_loss': '0.9509', 'depth_loss': '0.1654', 'vggt_mse_loss': '0.1645', 'vggt_cos_loss': '0.009032', 'pidinet_loss': '0.2528', 'siglip_loss': '0.5185', 'epoch': '0.273'} + 84%|██████████████████████████▉ | 7588/9000 [6:35:46<45:25, 1.93s/it][Dataset] cur_step=7589 phase=D_mixed_covt +[Dataset] cur_step=7589 phase=D_mixed_covt +[Dataset] cur_step=7589 phase=D_mixed_covt +[Dataset] cur_step=7589 phase=D_mixed_covt +[Dataset] cur_step=7589 phase=D_mixed_covt +[Dataset] cur_step=7589 phase=D_mixed_covt +[Dataset] cur_step=7589 phase=D_mixed_covt + 84%|██████████████████████████▉ | 7589/9000 [6:35:47<41:17, 1.76s/it][Dataset] cur_step=7589 phase=D_mixed_covt + {'loss': '2.891', 'grad_norm': '3.947', 'learning_rate': '3.285e-06', 'epoch': '0.273'} + 84%|██████████████████████████▉ | 7589/9000 [6:35:47<41:17, 1.76s/it] {'lm_loss': '0.8427', 'visual_loss': '2.255', 'seg_loss': '0.4674', 'dino_loss': '0.8998', 'depth_loss': '0.2366', 'vggt_mse_loss': '0.2348', 'vggt_cos_loss': '0.01772', 'pidinet_loss': '0.1944', 'siglip_loss': '0.4572', 'epoch': '0.273'} + 84%|██████████████████████████▉ | 7589/9000 [6:35:49<41:17, 1.76s/it][Dataset] cur_step=7590 phase=D_mixed_covt +[Dataset] cur_step=7590 phase=D_mixed_covt[Dataset] cur_step=7590 phase=D_mixed_covt + + 84%|██████████████████████████▉ | 7590/9000 [6:35:50<51:02, 2.17s/it][Dataset] cur_step=7590 phase=D_mixed_covt +[Dataset] cur_step=7590 phase=D_mixed_covt +[Dataset] cur_step=7590 phase=D_mixed_covt +[Dataset] cur_step=7590 phase=D_mixed_covt +[Dataset] cur_step=7590 phase=D_mixed_covt + {'loss': '3.169', 'grad_norm': '2.839', 'learning_rate': '3.281e-06', 'epoch': '0.2731'} + 84%|██████████████████████████▉ | 7590/9000 [6:35:50<51:02, 2.17s/it] {'lm_loss': '0.06036', 'visual_loss': '2.707', 'seg_loss': '0.7356', 'dino_loss': '0.9147', 'depth_loss': '0.213', 'vggt_mse_loss': '0.2114', 'vggt_cos_loss': '0.01505', 'pidinet_loss': '0.2436', 'siglip_loss': '0.6005', 'epoch': '0.2731'} + 84%|██████████████████████████▉ | 7590/9000 [6:35:52<51:02, 2.17s/it][Dataset] cur_step=7591 phase=D_mixed_covt +[Dataset] cur_step=7591 phase=D_mixed_covt +[Dataset] cur_step=7591 phase=D_mixed_covt 84%|██████████████████████████▉ | 7591/9000 [6:35:52<53:28, 2.28s/it] +[Dataset] cur_step=7591 phase=D_mixed_covt +[Dataset] cur_step=7591 phase=D_mixed_covt +[Dataset] cur_step=7591 phase=D_mixed_covt +[Dataset] cur_step=7591 phase=D_mixed_covt +[Dataset] cur_step=7591 phase=D_mixed_covt + {'loss': '3.231', 'grad_norm': '6.517', 'learning_rate': '3.276e-06', 'epoch': '0.2731'} + 84%|██████████████████████████▉ | 7591/9000 [6:35:52<53:28, 2.28s/it] {'lm_loss': '0.776', 'visual_loss': '2.826', 'seg_loss': '0.849', 'dino_loss': '0.9034', 'depth_loss': '0.1769', 'vggt_mse_loss': '0.1759', 'vggt_cos_loss': '0.009398', 'pidinet_loss': '0.2936', 'siglip_loss': '0.6035', 'epoch': '0.2731'} + 84%|██████████████████████████▉ | 7591/9000 [6:35:54<53:28, 2.28s/it][Dataset] cur_step=7592 phase=D_mixed_covt[Dataset] cur_step=7592 phase=D_mixed_covt + +[Dataset] cur_step=7592 phase=D_mixed_covt +[Dataset] cur_step=7592 phase=D_mixed_covt +[Dataset] cur_step=7592 phase=D_mixed_covt +[Dataset] cur_step=7592 phase=D_mixed_covt[Dataset] cur_step=7592 phase=D_mixed_covt + +[Dataset] cur_step=7592 phase=D_mixed_covt + 84%|██████████████████████████▉ | 7592/9000 [6:35:54<50:45, 2.16s/it] {'loss': '3.409', 'grad_norm': '3.099', 'learning_rate': '3.272e-06', 'epoch': '0.2731'} + 84%|██████████████████████████▉ | 7592/9000 [6:35:54<50:45, 2.16s/it] {'lm_loss': '1.034', 'visual_loss': '2.743', 'seg_loss': '0.7788', 'dino_loss': '0.9755', 'depth_loss': '0.1998', 'vggt_mse_loss': '0.1991', 'vggt_cos_loss': '0.007726', 'pidinet_loss': '0.2473', 'siglip_loss': '0.5417', 'epoch': '0.2731'} + 84%|██████████████████████████▉ | 7592/9000 [6:35:57<50:45, 2.16s/it][Dataset] cur_step=7593 phase=D_mixed_covt +[Dataset] cur_step=7593 phase=D_mixed_covt +[Dataset] cur_step=7593 phase=D_mixed_covt[Dataset] cur_step=7593 phase=D_mixed_covt + + 84%|█████████████████████████▎ | 7593/9000 [6:35:58<1:01:54, 2.64s/it][Dataset] cur_step=7593 phase=D_mixed_covt +[Dataset] cur_step=7593 phase=D_mixed_covt[Dataset] cur_step=7593 phase=D_mixed_covt + +[Dataset] cur_step=7593 phase=D_mixed_covt + {'loss': '3.397', 'grad_norm': '2.637', 'learning_rate': '3.267e-06', 'epoch': '0.2732'} + 84%|█████████████████████████▎ | 7593/9000 [6:35:58<1:01:54, 2.64s/it] {'lm_loss': '0.7291', 'visual_loss': '2.734', 'seg_loss': '0.7252', 'dino_loss': '0.893', 'depth_loss': '0.3563', 'vggt_mse_loss': '0.3527', 'vggt_cos_loss': '0.03516', 'pidinet_loss': '0.2396', 'siglip_loss': '0.5197', 'epoch': '0.2732'} + 84%|█████████████████████████▎ | 7593/9000 [6:36:01<1:01:54, 2.64s/it][Dataset] cur_step=7594 phase=D_mixed_covt +[Dataset] cur_step=7594 phase=D_mixed_covt[Dataset] cur_step=7594 phase=D_mixed_covt + + 84%|█████████████████████████▎ | 7594/9000 [6:36:01<1:06:03, 2.82s/it][Dataset] cur_step=7594 phase=D_mixed_covt +[Dataset] cur_step=7594 phase=D_mixed_covt +[Dataset] cur_step=7594 phase=D_mixed_covt +[Dataset] cur_step=7594 phase=D_mixed_covt +[Dataset] cur_step=7594 phase=D_mixed_covt + {'loss': '3.345', 'grad_norm': '2.612', 'learning_rate': '3.263e-06', 'epoch': '0.2732'} + 84%|█████████████████████████▎ | 7594/9000 [6:36:01<1:06:03, 2.82s/it] {'lm_loss': '0.9038', 'visual_loss': '2.79', 'seg_loss': '0.7019', 'dino_loss': '0.9218', 'depth_loss': '0.2741', 'vggt_mse_loss': '0.2716', 'vggt_cos_loss': '0.02471', 'pidinet_loss': '0.254', 'siglip_loss': '0.6387', 'epoch': '0.2732'} + 84%|█████████████████████████▎ | 7594/9000 [6:36:04<1:06:03, 2.82s/it][Dataset] cur_step=7595 phase=D_mixed_covt +[Dataset] cur_step=7595 phase=D_mixed_covt + 84%|█████████████████████████▎ | 7595/9000 [6:36:05<1:14:10, 3.17s/it][Dataset] cur_step=7595 phase=D_mixed_covt +[Dataset] cur_step=7595 phase=D_mixed_covt[Dataset] cur_step=7595 phase=D_mixed_covt[Dataset] cur_step=7595 phase=D_mixed_covt + + +[Dataset] cur_step=7595 phase=D_mixed_covt[Dataset] cur_step=7595 phase=D_mixed_covt + + {'loss': '3.327', 'grad_norm': '2.222', 'learning_rate': '3.258e-06', 'epoch': '0.2732'} + 84%|█████████████████████████▎ | 7595/9000 [6:36:05<1:14:10, 3.17s/it] {'lm_loss': '0.7787', 'visual_loss': '2.677', 'seg_loss': '0.6243', 'dino_loss': '0.9328', 'depth_loss': '0.2012', 'vggt_mse_loss': '0.1997', 'vggt_cos_loss': '0.01503', 'pidinet_loss': '0.2267', 'siglip_loss': '0.6922', 'epoch': '0.2732'} + 84%|█████████████████████████▎ | 7595/9000 [6:36:07<1:14:10, 3.17s/it][Dataset] cur_step=7596 phase=D_mixed_covt[Dataset] cur_step=7596 phase=D_mixed_covt + +[Dataset] cur_step=7596 phase=D_mixed_covt 84%|█████████████████████████▎ | 7596/9000 [6:36:08<1:09:34, 2.97s/it] +[Dataset] cur_step=7596 phase=D_mixed_covt +[Dataset] cur_step=7596 phase=D_mixed_covt +[Dataset] cur_step=7596 phase=D_mixed_covt[Dataset] cur_step=7596 phase=D_mixed_covt + +[Dataset] cur_step=7596 phase=D_mixed_covt + {'loss': '3.385', 'grad_norm': '4.77', 'learning_rate': '3.254e-06', 'epoch': '0.2733'} + 84%|█████████████████████████▎ | 7596/9000 [6:36:08<1:09:34, 2.97s/it] {'lm_loss': '0.472', 'visual_loss': '2.979', 'seg_loss': '0.6677', 'dino_loss': '0.9653', 'depth_loss': '0.311', 'vggt_mse_loss': '0.3089', 'vggt_cos_loss': '0.02061', 'pidinet_loss': '0.2666', 'siglip_loss': '0.7682', 'epoch': '0.2733'} + 84%|█████████████████████████▎ | 7596/9000 [6:36:10<1:09:34, 2.97s/it][Dataset] cur_step=7597 phase=D_mixed_covt +[Dataset] cur_step=7597 phase=D_mixed_covt +[Dataset] cur_step=7597 phase=D_mixed_covt[Dataset] cur_step=7597 phase=D_mixed_covt + +[Dataset] cur_step=7597 phase=D_mixed_covt +[Dataset] cur_step=7597 phase=D_mixed_covt 84%|█████████████████████████▎ | 7597/9000 [6:36:10<1:06:30, 2.84s/it] +[Dataset] cur_step=7597 phase=D_mixed_covt +[Dataset] cur_step=7597 phase=D_mixed_covt + {'loss': '3.131', 'grad_norm': '4.993', 'learning_rate': '3.249e-06', 'epoch': '0.2733'} + 84%|█████████████████████████▎ | 7597/9000 [6:36:10<1:06:30, 2.84s/it] {'lm_loss': '0.8769', 'visual_loss': '1.948', 'seg_loss': '0.6569', 'dino_loss': '0.8793', 'depth_loss': '0.1301', 'vggt_mse_loss': '0.129', 'vggt_cos_loss': '0.01124', 'pidinet_loss': '0.2816', 'siglip_loss': '0', 'epoch': '0.2733'} + 84%|█████████████████████████▎ | 7597/9000 [6:36:11<1:06:30, 2.84s/it][Dataset] cur_step=7598 phase=D_mixed_covt +[Dataset] cur_step=7598 phase=D_mixed_covt +[Dataset] cur_step=7598 phase=D_mixed_covt[Dataset] cur_step=7598 phase=D_mixed_covt + +[Dataset] cur_step=7598 phase=D_mixed_covt 84%|███████████████████████████ | 7598/9000 [6:36:12<58:20, 2.50s/it][Dataset] cur_step=7598 phase=D_mixed_covt + +[Dataset] cur_step=7598 phase=D_mixed_covt +[Dataset] cur_step=7598 phase=D_mixed_covt + {'loss': '2.936', 'grad_norm': '3.031', 'learning_rate': '3.245e-06', 'epoch': '0.2733'} + 84%|███████████████████████████ | 7598/9000 [6:36:12<58:20, 2.50s/it] {'lm_loss': '0.09304', 'visual_loss': '2.211', 'seg_loss': '0.4844', 'dino_loss': '0.9106', 'depth_loss': '0.1734', 'vggt_mse_loss': '0.1724', 'vggt_cos_loss': '0.009911', 'pidinet_loss': '0.1578', 'siglip_loss': '0.4849', 'epoch': '0.2733'} + 84%|███████████████████████████ | 7598/9000 [6:36:14<58:20, 2.50s/it][Dataset] cur_step=7599 phase=D_mixed_covt + 84%|█████████████████████████▎ | 7599/9000 [6:36:15<1:00:56, 2.61s/it][Dataset] cur_step=7599 phase=D_mixed_covt +[Dataset] cur_step=7599 phase=D_mixed_covt +[Dataset] cur_step=7599 phase=D_mixed_covt +[Dataset] cur_step=7599 phase=D_mixed_covt +[Dataset] cur_step=7599 phase=D_mixed_covt[Dataset] cur_step=7599 phase=D_mixed_covt + +[Dataset] cur_step=7599 phase=D_mixed_covt + {'loss': '3.237', 'grad_norm': '3.617', 'learning_rate': '3.24e-06', 'epoch': '0.2734'} + 84%|█████████████████████████▎ | 7599/9000 [6:36:15<1:00:56, 2.61s/it] {'lm_loss': '0.09087', 'visual_loss': '1.922', 'seg_loss': '0.6618', 'dino_loss': '0.8732', 'depth_loss': '0.1341', 'vggt_mse_loss': '0.1335', 'vggt_cos_loss': '0.006119', 'pidinet_loss': '0.06064', 'siglip_loss': '0.1925', 'epoch': '0.2734'} + 84%|█████████████████████████▎ | 7599/9000 [6:36:17<1:00:56, 2.61s/it][Dataset] cur_step=7600 phase=D_mixed_covt +[Dataset] cur_step=7600 phase=D_mixed_covt +[Dataset] cur_step=7600 phase=D_mixed_covt[Dataset] cur_step=7600 phase=D_mixed_covt 84%|█████████████████████████▎ | 7600/9000 [6:36:18<1:07:01, 2.87s/it] + +[Dataset] cur_step=7600 phase=D_mixed_covt +[Dataset] cur_step=7600 phase=D_mixed_covt +[Dataset] cur_step=7600 phase=D_mixed_covt +[Dataset] cur_step=7600 phase=D_mixed_covt + {'loss': '3.23', 'grad_norm': '3.792', 'learning_rate': '3.235e-06', 'epoch': '0.2734'} + 84%|█████████████████████████▎ | 7600/9000 [6:36:18<1:07:01, 2.87s/it] {'lm_loss': '0.7559', 'visual_loss': '2.439', 'seg_loss': '0.6476', 'dino_loss': '0.8982', 'depth_loss': '0.2023', 'vggt_mse_loss': '0.2012', 'vggt_cos_loss': '0.01104', 'pidinet_loss': '0.2768', 'siglip_loss': '0.4143', 'epoch': '0.2734'} + 84%|█████████████████████████▎ | 7600/9000 [6:36:20<1:07:01, 2.87s/it][Dataset] cur_step=7601 phase=D_mixed_covt +[Dataset] cur_step=7601 phase=D_mixed_covt + 84%|█████████████████████████▎ | 7601/9000 [6:36:21<1:05:52, 2.83s/it][Dataset] cur_step=7601 phase=D_mixed_covt +[Dataset] cur_step=7601 phase=D_mixed_covt +[Dataset] cur_step=7601 phase=D_mixed_covt +[Dataset] cur_step=7601 phase=D_mixed_covt +[Dataset] cur_step=7601 phase=D_mixed_covt +[Dataset] cur_step=7601 phase=D_mixed_covt + {'loss': '3.139', 'grad_norm': '2.152', 'learning_rate': '3.231e-06', 'epoch': '0.2734'} + 84%|█████████████████████████▎ | 7601/9000 [6:36:21<1:05:52, 2.83s/it] {'lm_loss': '0.2096', 'visual_loss': '2.754', 'seg_loss': '0.744', 'dino_loss': '0.9715', 'depth_loss': '0.2515', 'vggt_mse_loss': '0.2498', 'vggt_cos_loss': '0.01627', 'pidinet_loss': '0.2605', 'siglip_loss': '0.5265', 'epoch': '0.2734'} + 84%|█████████████████████████▎ | 7601/9000 [6:36:24<1:05:52, 2.83s/it][Dataset] cur_step=7602 phase=D_mixed_covt[Dataset] cur_step=7602 phase=D_mixed_covt + +[Dataset] cur_step=7602 phase=D_mixed_covt +[Dataset] cur_step=7602 phase=D_mixed_covt +[Dataset] cur_step=7602 phase=D_mixed_covt +[Dataset] cur_step=7602 phase=D_mixed_covt + 84%|█████████████████████████▎ | 7602/9000 [6:36:25<1:12:08, 3.10s/it][Dataset] cur_step=7602 phase=D_mixed_covt +[Dataset] cur_step=7602 phase=D_mixed_covt + {'loss': '3.208', 'grad_norm': '3.522', 'learning_rate': '3.226e-06', 'epoch': '0.2735'} + 84%|█████████████████████████▎ | 7602/9000 [6:36:25<1:12:08, 3.10s/it] {'lm_loss': '1.049', 'visual_loss': '2.519', 'seg_loss': '0.6009', 'dino_loss': '0.9501', 'depth_loss': '0.2925', 'vggt_mse_loss': '0.2899', 'vggt_cos_loss': '0.02545', 'pidinet_loss': '0.2617', 'siglip_loss': '0.4135', 'epoch': '0.2735'} + 84%|█████████████████████████▎ | 7602/9000 [6:36:26<1:12:08, 3.10s/it][Dataset] cur_step=7603 phase=D_mixed_covt +[Dataset] cur_step=7603 phase=D_mixed_covt[Dataset] cur_step=7603 phase=D_mixed_covt + +[Dataset] cur_step=7603 phase=D_mixed_covt + 84%|█████████████████████████▎ | 7603/9000 [6:36:26<1:03:26, 2.73s/it][Dataset] cur_step=7603 phase=D_mixed_covt +[Dataset] cur_step=7603 phase=D_mixed_covt +[Dataset] cur_step=7603 phase=D_mixed_covt +[Dataset] cur_step=7603 phase=D_mixed_covt + {'loss': '3.238', 'grad_norm': '34.25', 'learning_rate': '3.222e-06', 'epoch': '0.2735'} + 84%|█████████████████████████▎ | 7603/9000 [6:36:26<1:03:26, 2.73s/it] {'lm_loss': '0.5953', 'visual_loss': '2.454', 'seg_loss': '0.7737', 'dino_loss': '0.874', 'depth_loss': '0.1507', 'vggt_mse_loss': '0.1496', 'vggt_cos_loss': '0.01103', 'pidinet_loss': '0.1783', 'siglip_loss': '0.4772', 'epoch': '0.2735'} + 84%|█████████████████████████▎ | 7603/9000 [6:36:28<1:03:26, 2.73s/it][Dataset] cur_step=7604 phase=D_mixed_covt +[Dataset] cur_step=7604 phase=D_mixed_covt +[Dataset] cur_step=7604 phase=D_mixed_covt[Dataset] cur_step=7604 phase=D_mixed_covt + +[Dataset] cur_step=7604 phase=D_mixed_covt + 84%|█████████████████████████▎ | 7604/9000 [6:36:29<1:02:55, 2.70s/it][Dataset] cur_step=7604 phase=D_mixed_covt +[Dataset] cur_step=7604 phase=D_mixed_covt +[Dataset] cur_step=7604 phase=D_mixed_covt + {'loss': '3.215', 'grad_norm': '3.372', 'learning_rate': '3.217e-06', 'epoch': '0.2736'} + 84%|█████████████████████████▎ | 7604/9000 [6:36:29<1:02:55, 2.70s/it] {'lm_loss': '0.3273', 'visual_loss': '2.657', 'seg_loss': '0.7629', 'dino_loss': '0.8995', 'depth_loss': '0.1949', 'vggt_mse_loss': '0.1933', 'vggt_cos_loss': '0.01579', 'pidinet_loss': '0.2367', 'siglip_loss': '0.5634', 'epoch': '0.2736'} + 84%|█████████████████████████▎ | 7604/9000 [6:36:32<1:02:55, 2.70s/it][Dataset] cur_step=7605 phase=D_mixed_covt +[Dataset] cur_step=7605 phase=D_mixed_covt + 84%|█████████████████████████▎ | 7605/9000 [6:36:33<1:11:40, 3.08s/it][Dataset] cur_step=7605 phase=D_mixed_covt +[Dataset] cur_step=7605 phase=D_mixed_covt[Dataset] cur_step=7605 phase=D_mixed_covt + +[Dataset] cur_step=7605 phase=D_mixed_covt +[Dataset] cur_step=7605 phase=D_mixed_covt +[Dataset] cur_step=7605 phase=D_mixed_covt + {'loss': '2.963', 'grad_norm': '2.515', 'learning_rate': '3.213e-06', 'epoch': '0.2736'} + 84%|█████████████████████████▎ | 7605/9000 [6:36:33<1:11:40, 3.08s/it] {'lm_loss': '0.8142', 'visual_loss': '0.8426', 'seg_loss': '0', 'dino_loss': '0.8426', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0', 'siglip_loss': '0', 'epoch': '0.2736'} + 84%|█████████████████████████▎ | 7605/9000 [6:36:33<1:11:40, 3.08s/it][Dataset] cur_step=7606 phase=D_mixed_covt +[Dataset] cur_step=7606 phase=D_mixed_covt +[Dataset] cur_step=7606 phase=D_mixed_covt +[Dataset] cur_step=7606 phase=D_mixed_covt[Dataset] cur_step=7606 phase=D_mixed_covt + +[Dataset] cur_step=7606 phase=D_mixed_covt +[Dataset] cur_step=7606 phase=D_mixed_covt + 85%|███████████████████████████ | 7606/9000 [6:36:34<56:05, 2.41s/it][Dataset] cur_step=7606 phase=D_mixed_covt + {'loss': '1.88', 'grad_norm': '10.06', 'learning_rate': '3.208e-06', 'epoch': '0.2736'} + 85%|███████████████████████████ | 7606/9000 [6:36:34<56:05, 2.41s/it] {'lm_loss': '0.6502', 'visual_loss': '2.662', 'seg_loss': '0.7161', 'dino_loss': '0.9049', 'depth_loss': '0.2287', 'vggt_mse_loss': '0.2271', 'vggt_cos_loss': '0.0152', 'pidinet_loss': '0.2664', 'siglip_loss': '0.5459', 'epoch': '0.2736'} + 85%|███████████████████████████ | 7606/9000 [6:36:36<56:05, 2.41s/it][Dataset] cur_step=7607 phase=D_mixed_covt +[Dataset] cur_step=7607 phase=D_mixed_covt +[Dataset] cur_step=7607 phase=D_mixed_covt[Dataset] cur_step=7607 phase=D_mixed_covt[Dataset] cur_step=7607 phase=D_mixed_covt + + + 85%|███████████████████████████ | 7607/9000 [6:36:36<56:34, 2.44s/it][Dataset] cur_step=7607 phase=D_mixed_covt +[Dataset] cur_step=7607 phase=D_mixed_covt +[Dataset] cur_step=7607 phase=D_mixed_covt + {'loss': '3.374', 'grad_norm': '2.325', 'learning_rate': '3.204e-06', 'epoch': '0.2737'} + 85%|███████████████████████████ | 7607/9000 [6:36:36<56:34, 2.44s/it] {'lm_loss': '0.4747', 'visual_loss': '2.365', 'seg_loss': '0.5043', 'dino_loss': '0.8205', 'depth_loss': '0.2073', 'vggt_mse_loss': '0.2058', 'vggt_cos_loss': '0.01517', 'pidinet_loss': '0.2375', 'siglip_loss': '0.5949', 'epoch': '0.2737'} + 85%|███████████████████████████ | 7607/9000 [6:36:38<56:34, 2.44s/it][Dataset] cur_step=7608 phase=D_mixed_covt[Dataset] cur_step=7608 phase=D_mixed_covt[Dataset] cur_step=7608 phase=D_mixed_covt + + +[Dataset] cur_step=7608 phase=D_mixed_covt +[Dataset] cur_step=7608 phase=D_mixed_covt +[Dataset] cur_step=7608 phase=D_mixed_covt +[Dataset] cur_step=7608 phase=D_mixed_covt +[Dataset] cur_step=7608 phase=D_mixed_covt + 85%|███████████████████████████ | 7608/9000 [6:36:39<58:45, 2.53s/it] {'loss': '3.165', 'grad_norm': '3.293', 'learning_rate': '3.199e-06', 'epoch': '0.2737'} + 85%|███████████████████████████ | 7608/9000 [6:36:39<58:45, 2.53s/it] {'lm_loss': '0.7787', 'visual_loss': '2.748', 'seg_loss': '0.8517', 'dino_loss': '0.9067', 'depth_loss': '0.1826', 'vggt_mse_loss': '0.1812', 'vggt_cos_loss': '0.01461', 'pidinet_loss': '0.2622', 'siglip_loss': '0.545', 'epoch': '0.2737'} + 85%|███████████████████████████ | 7608/9000 [6:36:40<58:45, 2.53s/it][Dataset] cur_step=7609 phase=D_mixed_covt +[Dataset] cur_step=7609 phase=D_mixed_covt +[Dataset] cur_step=7609 phase=D_mixed_covt[Dataset] cur_step=7609 phase=D_mixed_covt[Dataset] cur_step=7609 phase=D_mixed_covt + + +[Dataset] cur_step=7609 phase=D_mixed_covt 85%|███████████████████████████ | 7609/9000 [6:36:41<55:26, 2.39s/it] +[Dataset] cur_step=7609 phase=D_mixed_covt +[Dataset] cur_step=7609 phase=D_mixed_covt + {'loss': '3.441', 'grad_norm': '4.475', 'learning_rate': '3.195e-06', 'epoch': '0.2737'} + 85%|███████████████████████████ | 7609/9000 [6:36:41<55:26, 2.39s/it] {'lm_loss': '0.6733', 'visual_loss': '2.79', 'seg_loss': '0.8302', 'dino_loss': '0.9005', 'depth_loss': '0.2004', 'vggt_mse_loss': '0.1989', 'vggt_cos_loss': '0.01442', 'pidinet_loss': '0.2132', 'siglip_loss': '0.6461', 'epoch': '0.2737'} + 85%|███████████████████████████ | 7609/9000 [6:36:44<55:26, 2.39s/it][Dataset] cur_step=7610 phase=D_mixed_covt +[Dataset] cur_step=7610 phase=D_mixed_covt +[Dataset] cur_step=7610 phase=D_mixed_covt +[Dataset] cur_step=7610 phase=D_mixed_covt + 85%|█████████████████████████▎ | 7610/9000 [6:36:45<1:02:17, 2.69s/it][Dataset] cur_step=7610 phase=D_mixed_covt +[Dataset] cur_step=7610 phase=D_mixed_covt +[Dataset] cur_step=7610 phase=D_mixed_covt +[Dataset] cur_step=7610 phase=D_mixed_covt + {'loss': '3.28', 'grad_norm': '2.661', 'learning_rate': '3.19e-06', 'epoch': '0.2738'} + 85%|█████████████████████████▎ | 7610/9000 [6:36:45<1:02:17, 2.69s/it] {'lm_loss': '0.7265', 'visual_loss': '2.314', 'seg_loss': '0.1833', 'dino_loss': '0.8535', 'depth_loss': '0.1218', 'vggt_mse_loss': '0.1206', 'vggt_cos_loss': '0.01141', 'pidinet_loss': '0.3257', 'siglip_loss': '0.8301', 'epoch': '0.2738'} + 85%|█████████████████████████▎ | 7610/9000 [6:36:46<1:02:17, 2.69s/it][Dataset] cur_step=7611 phase=D_mixed_covt +[Dataset] cur_step=7611 phase=D_mixed_covt +[Dataset] cur_step=7611 phase=D_mixed_covt[Dataset] cur_step=7611 phase=D_mixed_covt + +[Dataset] cur_step=7611 phase=D_mixed_covt 85%|███████████████████████████ | 7611/9000 [6:36:47<58:27, 2.53s/it] +[Dataset] cur_step=7611 phase=D_mixed_covt[Dataset] cur_step=7611 phase=D_mixed_covt + +[Dataset] cur_step=7611 phase=D_mixed_covt + {'loss': '3.13', 'grad_norm': '24.58', 'learning_rate': '3.186e-06', 'epoch': '0.2738'} + 85%|███████████████████████████ | 7611/9000 [6:36:47<58:27, 2.53s/it] {'lm_loss': '0.3857', 'visual_loss': '2.674', 'seg_loss': '0.8449', 'dino_loss': '0.909', 'depth_loss': '0.249', 'vggt_mse_loss': '0.2474', 'vggt_cos_loss': '0.01638', 'pidinet_loss': '0.2601', 'siglip_loss': '0.4112', 'epoch': '0.2738'} + 85%|███████████████████████████ | 7611/9000 [6:36:49<58:27, 2.53s/it][Dataset] cur_step=7612 phase=D_mixed_covt +[Dataset] cur_step=7612 phase=D_mixed_covt[Dataset] cur_step=7612 phase=D_mixed_covt + +[Dataset] cur_step=7612 phase=D_mixed_covt 85%|███████████████████████████ | 7612/9000 [6:36:49<56:59, 2.46s/it] +[Dataset] cur_step=7612 phase=D_mixed_covt +[Dataset] cur_step=7612 phase=D_mixed_covt +[Dataset] cur_step=7612 phase=D_mixed_covt[Dataset] cur_step=7612 phase=D_mixed_covt + + {'loss': '3.235', 'grad_norm': '3.237', 'learning_rate': '3.181e-06', 'epoch': '0.2738'} + 85%|███████████████████████████ | 7612/9000 [6:36:49<56:59, 2.46s/it] {'lm_loss': '0.1275', 'visual_loss': '2.273', 'seg_loss': '0.6291', 'dino_loss': '0.8994', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2505', 'siglip_loss': '0.4943', 'epoch': '0.2738'} + 85%|███████████████████████████ | 7612/9000 [6:36:51<56:59, 2.46s/it][Dataset] cur_step=7613 phase=D_mixed_covt +[Dataset] cur_step=7613 phase=D_mixed_covt +[Dataset] cur_step=7613 phase=D_mixed_covt[Dataset] cur_step=7613 phase=D_mixed_covt + + 85%|███████████████████████████ | 7613/9000 [6:36:51<56:25, 2.44s/it][Dataset] cur_step=7613 phase=D_mixed_covt +[Dataset] cur_step=7613 phase=D_mixed_covt +[Dataset] cur_step=7613 phase=D_mixed_covt +[Dataset] cur_step=7613 phase=D_mixed_covt + {'loss': '3.197', 'grad_norm': '3.528', 'learning_rate': '3.177e-06', 'epoch': '0.2739'} + 85%|███████████████████████████ | 7613/9000 [6:36:51<56:25, 2.44s/it] {'lm_loss': '0.4945', 'visual_loss': '2.405', 'seg_loss': '0.7057', 'dino_loss': '0.8951', 'depth_loss': '0.3233', 'vggt_mse_loss': '0.3205', 'vggt_cos_loss': '0.02773', 'pidinet_loss': '0.2475', 'siglip_loss': '0.2331', 'epoch': '0.2739'} + 85%|███████████████████████████ | 7613/9000 [6:36:54<56:25, 2.44s/it][Dataset] cur_step=7614 phase=D_mixed_covt +[Dataset] cur_step=7614 phase=D_mixed_covt +[Dataset] cur_step=7614 phase=D_mixed_covt +[Dataset] cur_step=7614 phase=D_mixed_covt + 85%|███████████████████████████ | 7614/9000 [6:36:54<57:15, 2.48s/it][Dataset] cur_step=7614 phase=D_mixed_covt +[Dataset] cur_step=7614 phase=D_mixed_covt +[Dataset] cur_step=7614 phase=D_mixed_covt +[Dataset] cur_step=7614 phase=D_mixed_covt + {'loss': '3.157', 'grad_norm': '2.476', 'learning_rate': '3.172e-06', 'epoch': '0.2739'} + 85%|███████████████████████████ | 7614/9000 [6:36:54<57:15, 2.48s/it] {'lm_loss': '0.7474', 'visual_loss': '3.363', 'seg_loss': '0.5373', 'dino_loss': '0.9174', 'depth_loss': '0.1913', 'vggt_mse_loss': '0.19', 'vggt_cos_loss': '0.01254', 'pidinet_loss': '0.225', 'siglip_loss': '1.492', 'epoch': '0.2739'} + 85%|███████████████████████████ | 7614/9000 [6:36:56<57:15, 2.48s/it][Dataset] cur_step=7615 phase=D_mixed_covt +[Dataset] cur_step=7615 phase=D_mixed_covt +[Dataset] cur_step=7615 phase=D_mixed_covt[Dataset] cur_step=7615 phase=D_mixed_covt + +[Dataset] cur_step=7615 phase=D_mixed_covt[Dataset] cur_step=7615 phase=D_mixed_covt + +[Dataset] cur_step=7615 phase=D_mixed_covt +[Dataset] cur_step=7615 phase=D_mixed_covt + 85%|█████████████████████████▍ | 7615/9000 [6:36:57<1:00:22, 2.62s/it] {'loss': '3.381', 'grad_norm': '2.417', 'learning_rate': '3.168e-06', 'epoch': '0.274'} + 85%|█████████████████████████▍ | 7615/9000 [6:36:57<1:00:22, 2.62s/it] {'lm_loss': '1.094', 'visual_loss': '2.8', 'seg_loss': '0.5898', 'dino_loss': '0.9088', 'depth_loss': '0.4959', 'vggt_mse_loss': '0.4904', 'vggt_cos_loss': '0.05464', 'pidinet_loss': '0.2298', 'siglip_loss': '0.5762', 'epoch': '0.274'} + 85%|█████████████████████████▍ | 7615/9000 [6:36:59<1:00:22, 2.62s/it][Dataset] cur_step=7616 phase=D_mixed_covt[Dataset] cur_step=7616 phase=D_mixed_covt + +[Dataset] cur_step=7616 phase=D_mixed_covt + 85%|█████████████████████████▍ | 7616/9000 [6:37:00<1:01:21, 2.66s/it][Dataset] cur_step=7616 phase=D_mixed_covt[Dataset] cur_step=7616 phase=D_mixed_covt + +[Dataset] cur_step=7616 phase=D_mixed_covt +[Dataset] cur_step=7616 phase=D_mixed_covt +[Dataset] cur_step=7616 phase=D_mixed_covt + {'loss': '3.352', 'grad_norm': '5.243', 'learning_rate': '3.164e-06', 'epoch': '0.274'} + 85%|█████████████████████████▍ | 7616/9000 [6:37:00<1:01:21, 2.66s/it] {'lm_loss': '0.729', 'visual_loss': '2.659', 'seg_loss': '0.6469', 'dino_loss': '0.9086', 'depth_loss': '0.1758', 'vggt_mse_loss': '0.1749', 'vggt_cos_loss': '0.00898', 'pidinet_loss': '0.2715', 'siglip_loss': '0.6559', 'epoch': '0.274'} + 85%|█████████████████████████▍ | 7616/9000 [6:37:02<1:01:21, 2.66s/it][Dataset] cur_step=7617 phase=D_mixed_covt +[Dataset] cur_step=7617 phase=D_mixed_covt +[Dataset] cur_step=7617 phase=D_mixed_covt[Dataset] cur_step=7617 phase=D_mixed_covt + +[Dataset] cur_step=7617 phase=D_mixed_covt +[Dataset] cur_step=7617 phase=D_mixed_covt +[Dataset] cur_step=7617 phase=D_mixed_covt +[Dataset] cur_step=7617 phase=D_mixed_covt + 85%|█████████████████████████▍ | 7617/9000 [6:37:03<1:03:34, 2.76s/it] {'loss': '3.282', 'grad_norm': '2.979', 'learning_rate': '3.159e-06', 'epoch': '0.274'} + 85%|█████████████████████████▍ | 7617/9000 [6:37:03<1:03:34, 2.76s/it] {'lm_loss': '0.4581', 'visual_loss': '1.641', 'seg_loss': '0.5838', 'dino_loss': '0', 'depth_loss': '0.1605', 'vggt_mse_loss': '0.1594', 'vggt_cos_loss': '0.01104', 'pidinet_loss': '0.2408', 'siglip_loss': '0.6561', 'epoch': '0.274'} + 85%|█████████████████████████▍ | 7617/9000 [6:37:05<1:03:34, 2.76s/it][Dataset] cur_step=7618 phase=D_mixed_covt +[Dataset] cur_step=7618 phase=D_mixed_covt +[Dataset] cur_step=7618 phase=D_mixed_covt +[Dataset] cur_step=7618 phase=D_mixed_covt +[Dataset] cur_step=7618 phase=D_mixed_covt +[Dataset] cur_step=7618 phase=D_mixed_covt[Dataset] cur_step=7618 phase=D_mixed_covt + +[Dataset] cur_step=7618 phase=D_mixed_covt + 85%|█████████████████████████▍ | 7618/9000 [6:37:05<1:03:17, 2.75s/it] {'loss': '2.177', 'grad_norm': '3.25', 'learning_rate': '3.155e-06', 'epoch': '0.2741'} + 85%|█████████████████████████▍ | 7618/9000 [6:37:05<1:03:17, 2.75s/it] {'lm_loss': '0.8397', 'visual_loss': '2.941', 'seg_loss': '0.9135', 'dino_loss': '0.9229', 'depth_loss': '0.1771', 'vggt_mse_loss': '0.176', 'vggt_cos_loss': '0.01158', 'pidinet_loss': '0.2011', 'siglip_loss': '0.7266', 'epoch': '0.2741'} + 85%|█████████████████████████▍ | 7618/9000 [6:37:08<1:03:17, 2.75s/it][Dataset] cur_step=7619 phase=D_mixed_covt +[Dataset] cur_step=7619 phase=D_mixed_covt +[Dataset] cur_step=7619 phase=D_mixed_covt +[Dataset] cur_step=7619 phase=D_mixed_covt +[Dataset] cur_step=7619 phase=D_mixed_covt[Dataset] cur_step=7619 phase=D_mixed_covt +[Dataset] cur_step=7619 phase=D_mixed_covt +[Dataset] cur_step=7619 phase=D_mixed_covt + + 85%|█████████████████████████▍ | 7619/9000 [6:37:09<1:06:38, 2.90s/it] {'loss': '3.196', 'grad_norm': '2.276', 'learning_rate': '3.15e-06', 'epoch': '0.2741'} + 85%|█████████████████████████▍ | 7619/9000 [6:37:09<1:06:38, 2.90s/it] {'lm_loss': '0.4265', 'visual_loss': '1.508', 'seg_loss': '0.829', 'dino_loss': '0', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.1949', 'siglip_loss': '0.4838', 'epoch': '0.2741'} + 85%|█████████████████████████▍ | 7619/9000 [6:37:10<1:06:38, 2.90s/it][Dataset] cur_step=7620 phase=D_mixed_covt +[Dataset] cur_step=7620 phase=D_mixed_covt[Dataset] cur_step=7620 phase=D_mixed_covt + +[Dataset] cur_step=7620 phase=D_mixed_covt[Dataset] cur_step=7620 phase=D_mixed_covt + +[Dataset] cur_step=7620 phase=D_mixed_covt[Dataset] cur_step=7620 phase=D_mixed_covt + + 85%|███████████████████████████ | 7620/9000 [6:37:10<57:27, 2.50s/it][Dataset] cur_step=7620 phase=D_mixed_covt + {'loss': '2.129', 'grad_norm': '3.681', 'learning_rate': '3.146e-06', 'epoch': '0.2741'} + 85%|███████████████████████████ | 7620/9000 [6:37:10<57:27, 2.50s/it] {'lm_loss': '0.4649', 'visual_loss': '2.771', 'seg_loss': '0.644', 'dino_loss': '0.892', 'depth_loss': '0.2727', 'vggt_mse_loss': '0.2703', 'vggt_cos_loss': '0.02451', 'pidinet_loss': '0.2937', 'siglip_loss': '0.669', 'epoch': '0.2741'} + 85%|███████████████████████████ | 7620/9000 [6:37:11<57:27, 2.50s/it][Dataset] cur_step=7621 phase=D_mixed_covt +[Dataset] cur_step=7621 phase=D_mixed_covt +[Dataset] cur_step=7621 phase=D_mixed_covt +[Dataset] cur_step=7621 phase=D_mixed_covt +[Dataset] cur_step=7621 phase=D_mixed_covt[Dataset] cur_step=7621 phase=D_mixed_covt 85%|███████████████████████████ | 7621/9000 [6:37:12<54:08, 2.36s/it] +[Dataset] cur_step=7621 phase=D_mixed_covt + +[Dataset] cur_step=7621 phase=D_mixed_covt + {'loss': '3.511', 'grad_norm': '2.769', 'learning_rate': '3.141e-06', 'epoch': '0.2742'} + 85%|███████████████████████████ | 7621/9000 [6:37:12<54:08, 2.36s/it] {'lm_loss': '0.5404', 'visual_loss': '1.679', 'seg_loss': '0.8411', 'dino_loss': '0', 'depth_loss': '0.1514', 'vggt_mse_loss': '0.1504', 'vggt_cos_loss': '0.01014', 'pidinet_loss': '0.2057', 'siglip_loss': '0.4804', 'epoch': '0.2742'} + 85%|███████████████████████████ | 7621/9000 [6:37:14<54:08, 2.36s/it][Dataset] cur_step=7622 phase=D_mixed_covt +[Dataset] cur_step=7622 phase=D_mixed_covt +[Dataset] cur_step=7622 phase=D_mixed_covt +[Dataset] cur_step=7622 phase=D_mixed_covt +[Dataset] cur_step=7622 phase=D_mixed_covt[Dataset] cur_step=7622 phase=D_mixed_covt + +[Dataset] cur_step=7622 phase=D_mixed_covt + 85%|███████████████████████████ | 7622/9000 [6:37:14<50:16, 2.19s/it][Dataset] cur_step=7622 phase=D_mixed_covt + {'loss': '2.517', 'grad_norm': '3.444', 'learning_rate': '3.137e-06', 'epoch': '0.2742'} + 85%|███████████████████████████ | 7622/9000 [6:37:14<50:16, 2.19s/it] {'lm_loss': '0.7735', 'visual_loss': '1.898', 'seg_loss': '0', 'dino_loss': '0.8647', 'depth_loss': '0.1071', 'vggt_mse_loss': '0.1061', 'vggt_cos_loss': '0.009856', 'pidinet_loss': '0.2278', 'siglip_loss': '0.698', 'epoch': '0.2742'} + 85%|███████████████████████████ | 7622/9000 [6:37:15<50:16, 2.19s/it][Dataset] cur_step=7623 phase=D_mixed_covt +[Dataset] cur_step=7623 phase=D_mixed_covt[Dataset] cur_step=7623 phase=D_mixed_covt +[Dataset] cur_step=7623 phase=D_mixed_covt + +[Dataset] cur_step=7623 phase=D_mixed_covt +[Dataset] cur_step=7623 phase=D_mixed_covt + 85%|███████████████████████████ | 7623/9000 [6:37:15<42:49, 1.87s/it][Dataset] cur_step=7623 phase=D_mixed_covt +[Dataset] cur_step=7623 phase=D_mixed_covt + {'loss': '2.606', 'grad_norm': '4.142', 'learning_rate': '3.132e-06', 'epoch': '0.2742'} + 85%|███████████████████████████ | 7623/9000 [6:37:15<42:49, 1.87s/it] {'lm_loss': '0.1032', 'visual_loss': '2.795', 'seg_loss': '0.7511', 'dino_loss': '0.8927', 'depth_loss': '0.3279', 'vggt_mse_loss': '0.3253', 'vggt_cos_loss': '0.02661', 'pidinet_loss': '0.219', 'siglip_loss': '0.6047', 'epoch': '0.2742'} + 85%|███████████████████████████ | 7623/9000 [6:37:17<42:49, 1.87s/it][Dataset] cur_step=7624 phase=D_mixed_covt +[Dataset] cur_step=7624 phase=D_mixed_covt +[Dataset] cur_step=7624 phase=D_mixed_covt + 85%|███████████████████████████ | 7624/9000 [6:37:17<42:42, 1.86s/it][Dataset] cur_step=7624 phase=D_mixed_covt +[Dataset] cur_step=7624 phase=D_mixed_covt[Dataset] cur_step=7624 phase=D_mixed_covt + +[Dataset] cur_step=7624 phase=D_mixed_covt +[Dataset] cur_step=7624 phase=D_mixed_covt + {'loss': '3.276', 'grad_norm': '3.788', 'learning_rate': '3.128e-06', 'epoch': '0.2743'} + 85%|███████████████████████████ | 7624/9000 [6:37:17<42:42, 1.86s/it] {'lm_loss': '0.3585', 'visual_loss': '2.756', 'seg_loss': '0.7052', 'dino_loss': '0.8999', 'depth_loss': '0.4119', 'vggt_mse_loss': '0.4088', 'vggt_cos_loss': '0.0315', 'pidinet_loss': '0.2386', 'siglip_loss': '0.5004', 'epoch': '0.2743'} + 85%|███████████████████████████ | 7624/9000 [6:37:19<42:42, 1.86s/it][Dataset] cur_step=7625 phase=D_mixed_covt[Dataset] cur_step=7625 phase=D_mixed_covt + +[Dataset] cur_step=7625 phase=D_mixed_covt +[Dataset] cur_step=7625 phase=D_mixed_covt + 85%|███████████████████████████ | 7625/9000 [6:37:20<47:24, 2.07s/it][Dataset] cur_step=7625 phase=D_mixed_covt +[Dataset] cur_step=7625 phase=D_mixed_covt +[Dataset] cur_step=7625 phase=D_mixed_covt +[Dataset] cur_step=7625 phase=D_mixed_covt + {'loss': '3.108', 'grad_norm': '2.418', 'learning_rate': '3.123e-06', 'epoch': '0.2743'} + 85%|███████████████████████████ | 7625/9000 [6:37:20<47:24, 2.07s/it] {'lm_loss': '1.143', 'visual_loss': '2.661', 'seg_loss': '0.7043', 'dino_loss': '0.9431', 'depth_loss': '0.1986', 'vggt_mse_loss': '0.1977', 'vggt_cos_loss': '0.008824', 'pidinet_loss': '0.222', 'siglip_loss': '0.5933', 'epoch': '0.2743'} + 85%|███████████████████████████ | 7625/9000 [6:37:22<47:24, 2.07s/it][Dataset] cur_step=7626 phase=D_mixed_covt +[Dataset] cur_step=7626 phase=D_mixed_covt +[Dataset] cur_step=7626 phase=D_mixed_covt + 85%|███████████████████████████ | 7626/9000 [6:37:22<51:13, 2.24s/it][Dataset] cur_step=7626 phase=D_mixed_covt +[Dataset] cur_step=7626 phase=D_mixed_covt +[Dataset] cur_step=7626 phase=D_mixed_covt +[Dataset] cur_step=7626 phase=D_mixed_covt +[Dataset] cur_step=7626 phase=D_mixed_covt + {'loss': '3.068', 'grad_norm': '2.932', 'learning_rate': '3.119e-06', 'epoch': '0.2743'} + 85%|███████████████████████████ | 7626/9000 [6:37:22<51:13, 2.24s/it] {'lm_loss': '0.05279', 'visual_loss': '2.895', 'seg_loss': '0.8316', 'dino_loss': '0.893', 'depth_loss': '0.3427', 'vggt_mse_loss': '0.3405', 'vggt_cos_loss': '0.02193', 'pidinet_loss': '0.2472', 'siglip_loss': '0.5803', 'epoch': '0.2743'} + 85%|███████████████████████████ | 7626/9000 [6:37:25<51:13, 2.24s/it][Dataset] cur_step=7627 phase=D_mixed_covt[Dataset] cur_step=7627 phase=D_mixed_covt + + 85%|███████████████████████████ | 7627/9000 [6:37:26<58:32, 2.56s/it][Dataset] cur_step=7627 phase=D_mixed_covt +[Dataset] cur_step=7627 phase=D_mixed_covt +[Dataset] cur_step=7627 phase=D_mixed_covt +[Dataset] cur_step=7627 phase=D_mixed_covt +[Dataset] cur_step=7627 phase=D_mixed_covt +[Dataset] cur_step=7627 phase=D_mixed_covt + {'loss': '2.911', 'grad_norm': '2.361', 'learning_rate': '3.114e-06', 'epoch': '0.2744'} + 85%|███████████████████████████ | 7627/9000 [6:37:26<58:32, 2.56s/it] {'lm_loss': '0.08359', 'visual_loss': '2.626', 'seg_loss': '0.7084', 'dino_loss': '0.8904', 'depth_loss': '0.1738', 'vggt_mse_loss': '0.1724', 'vggt_cos_loss': '0.01378', 'pidinet_loss': '0.2215', 'siglip_loss': '0.6317', 'epoch': '0.2744'} + 85%|███████████████████████████ | 7627/9000 [6:37:28<58:32, 2.56s/it][Dataset] cur_step=7628 phase=D_mixed_covt +[Dataset] cur_step=7628 phase=D_mixed_covt +[Dataset] cur_step=7628 phase=D_mixed_covt +[Dataset] cur_step=7628 phase=D_mixed_covt + 85%|█████████████████████████▍ | 7628/9000 [6:37:29<1:06:02, 2.89s/it][Dataset] cur_step=7628 phase=D_mixed_covt +[Dataset] cur_step=7628 phase=D_mixed_covt +[Dataset] cur_step=7628 phase=D_mixed_covt +[Dataset] cur_step=7628 phase=D_mixed_covt + {'loss': '3.066', 'grad_norm': '2.852', 'learning_rate': '3.11e-06', 'epoch': '0.2744'} + 85%|█████████████████████████▍ | 7628/9000 [6:37:29<1:06:02, 2.89s/it] {'lm_loss': '1.114', 'visual_loss': '2.496', 'seg_loss': '0.6979', 'dino_loss': '0.9406', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.222', 'siglip_loss': '0.635', 'epoch': '0.2744'} + 85%|█████████████████████████▍ | 7628/9000 [6:37:31<1:06:02, 2.89s/it][Dataset] cur_step=7629 phase=D_mixed_covt +[Dataset] cur_step=7629 phase=D_mixed_covt +[Dataset] cur_step=7629 phase=D_mixed_covt +[Dataset] cur_step=7629 phase=D_mixed_covt +[Dataset] cur_step=7629 phase=D_mixed_covt +[Dataset] cur_step=7629 phase=D_mixed_covt +[Dataset] cur_step=7629 phase=D_mixed_covt 85%|█████████████████████████▍ | 7629/9000 [6:37:32<1:03:25, 2.78s/it] +[Dataset] cur_step=7629 phase=D_mixed_covt + {'loss': '3.347', 'grad_norm': '2.576', 'learning_rate': '3.106e-06', 'epoch': '0.2745'} + 85%|█████████████████████████▍ | 7629/9000 [6:37:32<1:03:25, 2.78s/it] {'lm_loss': '0.7544', 'visual_loss': '2.577', 'seg_loss': '0.6402', 'dino_loss': '0.8635', 'depth_loss': '0.2517', 'vggt_mse_loss': '0.25', 'vggt_cos_loss': '0.01616', 'pidinet_loss': '0.3623', 'siglip_loss': '0.4597', 'epoch': '0.2745'} + 85%|█████████████████████████▍ | 7629/9000 [6:37:33<1:03:25, 2.78s/it][Dataset] cur_step=7630 phase=D_mixed_covt +[Dataset] cur_step=7630 phase=D_mixed_covt +[Dataset] cur_step=7630 phase=D_mixed_covt +[Dataset] cur_step=7630 phase=D_mixed_covt +[Dataset] cur_step=7630 phase=D_mixed_covt 85%|█████████████████████████▍ | 7630/9000 [6:37:34<1:02:08, 2.72s/it] +[Dataset] cur_step=7630 phase=D_mixed_covt +[Dataset] cur_step=7630 phase=D_mixed_covt +[Dataset] cur_step=7630 phase=D_mixed_covt + {'loss': '3.159', 'grad_norm': '4.393', 'learning_rate': '3.101e-06', 'epoch': '0.2745'} + 85%|█████████████████████████▍ | 7630/9000 [6:37:34<1:02:08, 2.72s/it] {'lm_loss': '0.8862', 'visual_loss': '1.856', 'seg_loss': '0', 'dino_loss': '0.8962', 'depth_loss': '0.3059', 'vggt_mse_loss': '0.3029', 'vggt_cos_loss': '0.03001', 'pidinet_loss': '0.2636', 'siglip_loss': '0.3907', 'epoch': '0.2745'} + 85%|█████████████████████████▍ | 7630/9000 [6:37:35<1:02:08, 2.72s/it][Dataset] cur_step=7631 phase=D_mixed_covt +[Dataset] cur_step=7631 phase=D_mixed_covt[Dataset] cur_step=7631 phase=D_mixed_covt + +[Dataset] cur_step=7631 phase=D_mixed_covt +[Dataset] cur_step=7631 phase=D_mixed_covt +[Dataset] cur_step=7631 phase=D_mixed_covt + 85%|███████████████████████████▏ | 7631/9000 [6:37:36<51:53, 2.27s/it][Dataset] cur_step=7631 phase=D_mixed_covt +[Dataset] cur_step=7631 phase=D_mixed_covt + {'loss': '2.726', 'grad_norm': '9.02', 'learning_rate': '3.097e-06', 'epoch': '0.2745'} + 85%|███████████████████████████▏ | 7631/9000 [6:37:36<51:53, 2.27s/it] {'lm_loss': '0.7939', 'visual_loss': '2.432', 'seg_loss': '0.7261', 'dino_loss': '0.9322', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2374', 'siglip_loss': '0.5361', 'epoch': '0.2745'} + 85%|███████████████████████████▏ | 7631/9000 [6:37:36<51:53, 2.27s/it][Dataset] cur_step=7632 phase=D_mixed_covt[Dataset] cur_step=7632 phase=D_mixed_covt +[Dataset] cur_step=7632 phase=D_mixed_covt + +[Dataset] cur_step=7632 phase=D_mixed_covt + 85%|███████████████████████████▏ | 7632/9000 [6:37:37<46:52, 2.06s/it][Dataset] cur_step=7632 phase=D_mixed_covt +[Dataset] cur_step=7632 phase=D_mixed_covt +[Dataset] cur_step=7632 phase=D_mixed_covt +[Dataset] cur_step=7632 phase=D_mixed_covt + {'loss': '3.216', 'grad_norm': '4.143', 'learning_rate': '3.092e-06', 'epoch': '0.2746'} + 85%|███████████████████████████▏ | 7632/9000 [6:37:37<46:52, 2.06s/it] {'lm_loss': '0.468', 'visual_loss': '2.803', 'seg_loss': '0.66', 'dino_loss': '0.9361', 'depth_loss': '0.1816', 'vggt_mse_loss': '0.1802', 'vggt_cos_loss': '0.01372', 'pidinet_loss': '0.2597', 'siglip_loss': '0.7656', 'epoch': '0.2746'} + 85%|███████████████████████████▏ | 7632/9000 [6:37:39<46:52, 2.06s/it][Dataset] cur_step=7633 phase=D_mixed_covt +[Dataset] cur_step=7633 phase=D_mixed_covt + 85%|███████████████████████████▏ | 7633/9000 [6:37:40<50:23, 2.21s/it][Dataset] cur_step=7633 phase=D_mixed_covt[Dataset] cur_step=7633 phase=D_mixed_covt + +[Dataset] cur_step=7633 phase=D_mixed_covt[Dataset] cur_step=7633 phase=D_mixed_covt + +[Dataset] cur_step=7633 phase=D_mixed_covt +[Dataset] cur_step=7633 phase=D_mixed_covt + {'loss': '3.548', 'grad_norm': '3.01', 'learning_rate': '3.088e-06', 'epoch': '0.2746'} + 85%|███████████████████████████▏ | 7633/9000 [6:37:40<50:23, 2.21s/it] {'lm_loss': '0.07378', 'visual_loss': '2.466', 'seg_loss': '0.7868', 'dino_loss': '0.874', 'depth_loss': '0.2158', 'vggt_mse_loss': '0.2144', 'vggt_cos_loss': '0.01424', 'pidinet_loss': '0.1337', 'siglip_loss': '0.4554', 'epoch': '0.2746'} + 85%|███████████████████████████▏ | 7633/9000 [6:37:43<50:23, 2.21s/it][Dataset] cur_step=7634 phase=D_mixed_covt +[Dataset] cur_step=7634 phase=D_mixed_covt +[Dataset] cur_step=7634 phase=D_mixed_covt +[Dataset] cur_step=7634 phase=D_mixed_covt + 85%|█████████████████████████▍ | 7634/9000 [6:37:44<1:04:35, 2.84s/it][Dataset] cur_step=7634 phase=D_mixed_covt[Dataset] cur_step=7634 phase=D_mixed_covt + +[Dataset] cur_step=7634 phase=D_mixed_covt +[Dataset] cur_step=7634 phase=D_mixed_covt + {'loss': '2.864', 'grad_norm': '3.019', 'learning_rate': '3.083e-06', 'epoch': '0.2746'} + 85%|█████████████████████████▍ | 7634/9000 [6:37:44<1:04:35, 2.84s/it] {'lm_loss': '0.8965', 'visual_loss': '2.552', 'seg_loss': '0.7221', 'dino_loss': '0.8972', 'depth_loss': '0.3463', 'vggt_mse_loss': '0.3437', 'vggt_cos_loss': '0.02664', 'pidinet_loss': '0.1435', 'siglip_loss': '0.4428', 'epoch': '0.2746'} + 85%|█████████████████████████▍ | 7634/9000 [6:37:45<1:04:35, 2.84s/it][Dataset] cur_step=7635 phase=D_mixed_covt +[Dataset] cur_step=7635 phase=D_mixed_covt + 85%|███████████████████████████▏ | 7635/9000 [6:37:46<59:39, 2.62s/it][Dataset] cur_step=7635 phase=D_mixed_covt +[Dataset] cur_step=7635 phase=D_mixed_covt +[Dataset] cur_step=7635 phase=D_mixed_covt +[Dataset] cur_step=7635 phase=D_mixed_covt[Dataset] cur_step=7635 phase=D_mixed_covt + +[Dataset] cur_step=7635 phase=D_mixed_covt + {'loss': '3.464', 'grad_norm': '4.392', 'learning_rate': '3.079e-06', 'epoch': '0.2747'} + 85%|███████████████████████████▏ | 7635/9000 [6:37:46<59:39, 2.62s/it] {'lm_loss': '0.3518', 'visual_loss': '3.038', 'seg_loss': '0.7908', 'dino_loss': '0.9272', 'depth_loss': '0.3112', 'vggt_mse_loss': '0.3085', 'vggt_cos_loss': '0.02677', 'pidinet_loss': '0.2365', 'siglip_loss': '0.7719', 'epoch': '0.2747'} + 85%|███████████████████████████▏ | 7635/9000 [6:37:51<59:39, 2.62s/it][Dataset] cur_step=7636 phase=D_mixed_covt + 85%|█████████████████████████▍ | 7636/9000 [6:37:51<1:18:16, 3.44s/it][Dataset] cur_step=7636 phase=D_mixed_covt +[Dataset] cur_step=7636 phase=D_mixed_covt +[Dataset] cur_step=7636 phase=D_mixed_covt +[Dataset] cur_step=7636 phase=D_mixed_covt +[Dataset] cur_step=7636 phase=D_mixed_covt +[Dataset] cur_step=7636 phase=D_mixed_covt +[Dataset] cur_step=7636 phase=D_mixed_covt + {'loss': '3.332', 'grad_norm': '2.874', 'learning_rate': '3.075e-06', 'epoch': '0.2747'} + 85%|█████████████████████████▍ | 7636/9000 [6:37:51<1:18:16, 3.44s/it] {'lm_loss': '0.6076', 'visual_loss': '2.596', 'seg_loss': '0.8579', 'dino_loss': '0.909', 'depth_loss': '0.214', 'vggt_mse_loss': '0.2126', 'vggt_cos_loss': '0.01368', 'pidinet_loss': '0.1434', 'siglip_loss': '0.4714', 'epoch': '0.2747'} + 85%|█████████████████████████▍ | 7636/9000 [6:37:53<1:18:16, 3.44s/it][Dataset] cur_step=7637 phase=D_mixed_covt[Dataset] cur_step=7637 phase=D_mixed_covt + +[Dataset] cur_step=7637 phase=D_mixed_covt[Dataset] cur_step=7637 phase=D_mixed_covt + + 85%|█████████████████████████▍ | 7637/9000 [6:37:54<1:09:00, 3.04s/it][Dataset] cur_step=7637 phase=D_mixed_covt +[Dataset] cur_step=7637 phase=D_mixed_covt +[Dataset] cur_step=7637 phase=D_mixed_covt +[Dataset] cur_step=7637 phase=D_mixed_covt + {'loss': '3.166', 'grad_norm': '3.865', 'learning_rate': '3.07e-06', 'epoch': '0.2747'} + 85%|█████████████████████████▍ | 7637/9000 [6:37:54<1:09:00, 3.04s/it] {'lm_loss': '0.768', 'visual_loss': '2.975', 'seg_loss': '0.6774', 'dino_loss': '0.9422', 'depth_loss': '0.1921', 'vggt_mse_loss': '0.191', 'vggt_cos_loss': '0.0115', 'pidinet_loss': '0.3601', 'siglip_loss': '0.8028', 'epoch': '0.2747'} + 85%|█████████████████████████▍ | 7637/9000 [6:37:56<1:09:00, 3.04s/it][Dataset] cur_step=7638 phase=D_mixed_covt +[Dataset] cur_step=7638 phase=D_mixed_covt[Dataset] cur_step=7638 phase=D_mixed_covt +[Dataset] cur_step=7638 phase=D_mixed_covt + +[Dataset] cur_step=7638 phase=D_mixed_covt + 85%|█████████████████████████▍ | 7638/9000 [6:37:56<1:05:37, 2.89s/it][Dataset] cur_step=7638 phase=D_mixed_covt +[Dataset] cur_step=7638 phase=D_mixed_covt +[Dataset] cur_step=7638 phase=D_mixed_covt + {'loss': '3.247', 'grad_norm': '4.83', 'learning_rate': '3.066e-06', 'epoch': '0.2748'} + 85%|█████████████████████████▍ | 7638/9000 [6:37:56<1:05:37, 2.89s/it] {'lm_loss': '0.4268', 'visual_loss': '2.876', 'seg_loss': '0.9233', 'dino_loss': '0.8908', 'depth_loss': '0.1874', 'vggt_mse_loss': '0.1862', 'vggt_cos_loss': '0.01234', 'pidinet_loss': '0.2893', 'siglip_loss': '0.585', 'epoch': '0.2748'} + 85%|█████████████████████████▍ | 7638/9000 [6:37:58<1:05:37, 2.89s/it][Dataset] cur_step=7639 phase=D_mixed_covt +[Dataset] cur_step=7639 phase=D_mixed_covt[Dataset] cur_step=7639 phase=D_mixed_covt[Dataset] cur_step=7639 phase=D_mixed_covt + + 85%|█████████████████████████▍ | 7639/9000 [6:37:59<1:02:36, 2.76s/it] +[Dataset] cur_step=7639 phase=D_mixed_covt +[Dataset] cur_step=7639 phase=D_mixed_covt +[Dataset] cur_step=7639 phase=D_mixed_covt +[Dataset] cur_step=7639 phase=D_mixed_covt + {'loss': '3.233', 'grad_norm': '2.74', 'learning_rate': '3.061e-06', 'epoch': '0.2748'} + 85%|█████████████████████████▍ | 7639/9000 [6:37:59<1:02:36, 2.76s/it] {'lm_loss': '0.1164', 'visual_loss': '1.732', 'seg_loss': '0.7288', 'dino_loss': '0', 'depth_loss': '0.2182', 'vggt_mse_loss': '0.2169', 'vggt_cos_loss': '0.01306', 'pidinet_loss': '0.2184', 'siglip_loss': '0.5667', 'epoch': '0.2748'} + 85%|█████████████████████████▍ | 7639/9000 [6:38:00<1:02:36, 2.76s/it][Dataset] cur_step=7640 phase=D_mixed_covt +[Dataset] cur_step=7640 phase=D_mixed_covt +[Dataset] cur_step=7640 phase=D_mixed_covt +[Dataset] cur_step=7640 phase=D_mixed_covt + 85%|███████████████████████████▏ | 7640/9000 [6:38:00<56:14, 2.48s/it][Dataset] cur_step=7640 phase=D_mixed_covt +[Dataset] cur_step=7640 phase=D_mixed_covt +[Dataset] cur_step=7640 phase=D_mixed_covt +[Dataset] cur_step=7640 phase=D_mixed_covt + {'loss': '2.412', 'grad_norm': '3.376', 'learning_rate': '3.057e-06', 'epoch': '0.2748'} + 85%|███████████████████████████▏ | 7640/9000 [6:38:00<56:14, 2.48s/it] {'lm_loss': '0.5863', 'visual_loss': '2.436', 'seg_loss': '0.6941', 'dino_loss': '0.9081', 'depth_loss': '0.2053', 'vggt_mse_loss': '0.2037', 'vggt_cos_loss': '0.01645', 'pidinet_loss': '0.188', 'siglip_loss': '0.44', 'epoch': '0.2748'} + 85%|███████████████████████████▏ | 7640/9000 [6:38:02<56:14, 2.48s/it][Dataset] cur_step=7641 phase=D_mixed_covt +[Dataset] cur_step=7641 phase=D_mixed_covt +[Dataset] cur_step=7641 phase=D_mixed_covt +[Dataset] cur_step=7641 phase=D_mixed_covt + 85%|███████████████████████████▏ | 7641/9000 [6:38:03<56:23, 2.49s/it][Dataset] cur_step=7641 phase=D_mixed_covt +[Dataset] cur_step=7641 phase=D_mixed_covt +[Dataset] cur_step=7641 phase=D_mixed_covt +[Dataset] cur_step=7641 phase=D_mixed_covt + {'loss': '3.175', 'grad_norm': '4.431', 'learning_rate': '3.053e-06', 'epoch': '0.2749'} + 85%|███████████████████████████▏ | 7641/9000 [6:38:03<56:23, 2.49s/it] {'lm_loss': '0.5513', 'visual_loss': '2.583', 'seg_loss': '0.7385', 'dino_loss': '0.8802', 'depth_loss': '0.1682', 'vggt_mse_loss': '0.1672', 'vggt_cos_loss': '0.01083', 'pidinet_loss': '0.2429', 'siglip_loss': '0.5533', 'epoch': '0.2749'} + 85%|███████████████████████████▏ | 7641/9000 [6:38:05<56:23, 2.49s/it][Dataset] cur_step=7642 phase=D_mixed_covt +[Dataset] cur_step=7642 phase=D_mixed_covt +[Dataset] cur_step=7642 phase=D_mixed_covt[Dataset] cur_step=7642 phase=D_mixed_covt + +[Dataset] cur_step=7642 phase=D_mixed_covt +[Dataset] cur_step=7642 phase=D_mixed_covt + 85%|███████████████████████████▏ | 7642/9000 [6:38:06<58:35, 2.59s/it][Dataset] cur_step=7642 phase=D_mixed_covt +[Dataset] cur_step=7642 phase=D_mixed_covt + {'loss': '3.015', 'grad_norm': '5.021', 'learning_rate': '3.048e-06', 'epoch': '0.2749'} + 85%|███████████████████████████▏ | 7642/9000 [6:38:06<58:35, 2.59s/it] {'lm_loss': '0.113', 'visual_loss': '2.562', 'seg_loss': '0.7212', 'dino_loss': '0.9149', 'depth_loss': '0.2724', 'vggt_mse_loss': '0.2703', 'vggt_cos_loss': '0.02106', 'pidinet_loss': '0.2696', 'siglip_loss': '0.3837', 'epoch': '0.2749'} + 85%|███████████████████████████▏ | 7642/9000 [6:38:08<58:35, 2.59s/it][Dataset] cur_step=7643 phase=D_mixed_covt[Dataset] cur_step=7643 phase=D_mixed_covt + +[Dataset] cur_step=7643 phase=D_mixed_covt +[Dataset] cur_step=7643 phase=D_mixed_covt[Dataset] cur_step=7643 phase=D_mixed_covt + + 85%|█████████████████████████▍ | 7643/9000 [6:38:11<1:14:46, 3.31s/it][Dataset] cur_step=7643 phase=D_mixed_covt[Dataset] cur_step=7643 phase=D_mixed_covt + +[Dataset] cur_step=7643 phase=D_mixed_covt + {'loss': '3.282', 'grad_norm': '2.649', 'learning_rate': '3.044e-06', 'epoch': '0.275'} + 85%|█████████████████████████▍ | 7643/9000 [6:38:11<1:14:46, 3.31s/it] {'lm_loss': '1.038', 'visual_loss': '2.108', 'seg_loss': '0.7221', 'dino_loss': '0.8942', 'depth_loss': '0.2793', 'vggt_mse_loss': '0.2769', 'vggt_cos_loss': '0.02353', 'pidinet_loss': '0.2124', 'siglip_loss': '0', 'epoch': '0.275'} + 85%|█████████████████████████▍ | 7643/9000 [6:38:13<1:14:46, 3.31s/it][Dataset] cur_step=7644 phase=D_mixed_covt +[Dataset] cur_step=7644 phase=D_mixed_covt +[Dataset] cur_step=7644 phase=D_mixed_covt +[Dataset] cur_step=7644 phase=D_mixed_covt + 85%|█████████████████████████▍ | 7644/9000 [6:38:13<1:10:28, 3.12s/it][Dataset] cur_step=7644 phase=D_mixed_covt[Dataset] cur_step=7644 phase=D_mixed_covt + +[Dataset] cur_step=7644 phase=D_mixed_covt +[Dataset] cur_step=7644 phase=D_mixed_covt + {'loss': '2.577', 'grad_norm': '2.898', 'learning_rate': '3.039e-06', 'epoch': '0.275'} + 85%|█████████████████████████▍ | 7644/9000 [6:38:13<1:10:28, 3.12s/it] {'lm_loss': '0.5667', 'visual_loss': '1.995', 'seg_loss': '0.9441', 'dino_loss': '0', 'depth_loss': '0.2365', 'vggt_mse_loss': '0.2346', 'vggt_cos_loss': '0.01917', 'pidinet_loss': '0.3212', 'siglip_loss': '0.4932', 'epoch': '0.275'} + 85%|█████████████████████████▍ | 7644/9000 [6:38:15<1:10:28, 3.12s/it][Dataset] cur_step=7645 phase=D_mixed_covt +[Dataset] cur_step=7645 phase=D_mixed_covt +[Dataset] cur_step=7645 phase=D_mixed_covt +[Dataset] cur_step=7645 phase=D_mixed_covt +[Dataset] cur_step=7645 phase=D_mixed_covt + 85%|█████████████████████████▍ | 7645/9000 [6:38:15<1:03:11, 2.80s/it][Dataset] cur_step=7645 phase=D_mixed_covt[Dataset] cur_step=7645 phase=D_mixed_covt + +[Dataset] cur_step=7645 phase=D_mixed_covt + {'loss': '2.749', 'grad_norm': '3.806', 'learning_rate': '3.035e-06', 'epoch': '0.275'} + 85%|█████████████████████████▍ | 7645/9000 [6:38:15<1:03:11, 2.80s/it] {'lm_loss': '0.9686', 'visual_loss': '2.717', 'seg_loss': '0.7638', 'dino_loss': '0.8971', 'depth_loss': '0.2177', 'vggt_mse_loss': '0.216', 'vggt_cos_loss': '0.01738', 'pidinet_loss': '0.2948', 'siglip_loss': '0.5434', 'epoch': '0.275'} + 85%|█████████████████████████▍ | 7645/9000 [6:38:18<1:03:11, 2.80s/it][Dataset] cur_step=7646 phase=D_mixed_covt +[Dataset] cur_step=7646 phase=D_mixed_covt 85%|█████████████████████████▍ | 7646/9000 [6:38:18<1:02:34, 2.77s/it] +[Dataset] cur_step=7646 phase=D_mixed_covt +[Dataset] cur_step=7646 phase=D_mixed_covt +[Dataset] cur_step=7646 phase=D_mixed_covt +[Dataset] cur_step=7646 phase=D_mixed_covt +[Dataset] cur_step=7646 phase=D_mixed_covt +[Dataset] cur_step=7646 phase=D_mixed_covt + {'loss': '3.244', 'grad_norm': '3.498', 'learning_rate': '3.031e-06', 'epoch': '0.2751'} + 85%|█████████████████████████▍ | 7646/9000 [6:38:18<1:02:34, 2.77s/it] {'lm_loss': '0.4083', 'visual_loss': '2.884', 'seg_loss': '0.8508', 'dino_loss': '0.9481', 'depth_loss': '0.3832', 'vggt_mse_loss': '0.3807', 'vggt_cos_loss': '0.02479', 'pidinet_loss': '0.208', 'siglip_loss': '0.4943', 'epoch': '0.2751'} + 85%|█████████████████████████▍ | 7646/9000 [6:38:21<1:02:34, 2.77s/it][Dataset] cur_step=7647 phase=D_mixed_covt +[Dataset] cur_step=7647 phase=D_mixed_covt +[Dataset] cur_step=7647 phase=D_mixed_covt +[Dataset] cur_step=7647 phase=D_mixed_covt[Dataset] cur_step=7647 phase=D_mixed_covt[Dataset] cur_step=7647 phase=D_mixed_covt + + + 85%|█████████████████████████▍ | 7647/9000 [6:38:22<1:06:47, 2.96s/it][Dataset] cur_step=7647 phase=D_mixed_covt +[Dataset] cur_step=7647 phase=D_mixed_covt + {'loss': '3.303', 'grad_norm': '2.068', 'learning_rate': '3.026e-06', 'epoch': '0.2751'} + 85%|█████████████████████████▍ | 7647/9000 [6:38:22<1:06:47, 2.96s/it] {'lm_loss': '0.4081', 'visual_loss': '2.744', 'seg_loss': '0.7532', 'dino_loss': '0.9328', 'depth_loss': '0.2609', 'vggt_mse_loss': '0.2588', 'vggt_cos_loss': '0.02139', 'pidinet_loss': '0.2287', 'siglip_loss': '0.5688', 'epoch': '0.2751'} + 85%|█████████████████████████▍ | 7647/9000 [6:38:24<1:06:47, 2.96s/it][Dataset] cur_step=7648 phase=D_mixed_covt +[Dataset] cur_step=7648 phase=D_mixed_covt +[Dataset] cur_step=7648 phase=D_mixed_covt +[Dataset] cur_step=7648 phase=D_mixed_covt + 85%|█████████████████████████▍ | 7648/9000 [6:38:25<1:09:34, 3.09s/it][Dataset] cur_step=7648 phase=D_mixed_covt +[Dataset] cur_step=7648 phase=D_mixed_covt +[Dataset] cur_step=7648 phase=D_mixed_covt +[Dataset] cur_step=7648 phase=D_mixed_covt + {'loss': '3.299', 'grad_norm': '68.93', 'learning_rate': '3.022e-06', 'epoch': '0.2751'} + 85%|█████████████████████████▍ | 7648/9000 [6:38:25<1:09:34, 3.09s/it] {'lm_loss': '0.3697', 'visual_loss': '2.37', 'seg_loss': '0.2345', 'dino_loss': '0.8788', 'depth_loss': '0.2992', 'vggt_mse_loss': '0.2969', 'vggt_cos_loss': '0.02273', 'pidinet_loss': '0.2743', 'siglip_loss': '0.6829', 'epoch': '0.2751'} + 85%|█████████████████████████▍ | 7648/9000 [6:38:28<1:09:34, 3.09s/it][Dataset] cur_step=7649 phase=D_mixed_covt +[Dataset] cur_step=7649 phase=D_mixed_covt +[Dataset] cur_step=7649 phase=D_mixed_covt +[Dataset] cur_step=7649 phase=D_mixed_covt +[Dataset] cur_step=7649 phase=D_mixed_covt + 85%|█████████████████████████▍ | 7649/9000 [6:38:28<1:11:41, 3.18s/it][Dataset] cur_step=7649 phase=D_mixed_covt[Dataset] cur_step=7649 phase=D_mixed_covt + +[Dataset] cur_step=7649 phase=D_mixed_covt + {'loss': '3.278', 'grad_norm': '2.416', 'learning_rate': '3.018e-06', 'epoch': '0.2752'} + 85%|█████████████████████████▍ | 7649/9000 [6:38:28<1:11:41, 3.18s/it] {'lm_loss': '0.6861', 'visual_loss': '2.943', 'seg_loss': '0.8802', 'dino_loss': '0.9085', 'depth_loss': '0.2473', 'vggt_mse_loss': '0.2455', 'vggt_cos_loss': '0.01774', 'pidinet_loss': '0.2965', 'siglip_loss': '0.6102', 'epoch': '0.2752'} + 85%|█████████████████████████▍ | 7649/9000 [6:38:30<1:11:41, 3.18s/it][Dataset] cur_step=7650 phase=D_mixed_covt[Dataset] cur_step=7650 phase=D_mixed_covt + +[Dataset] cur_step=7650 phase=D_mixed_covt +[Dataset] cur_step=7650 phase=D_mixed_covt +[Dataset] cur_step=7650 phase=D_mixed_covt[Dataset] cur_step=7650 phase=D_mixed_covt + +[Dataset] cur_step=7650 phase=D_mixed_covt[Dataset] cur_step=7650 phase=D_mixed_covt + + 85%|█████████████████████████▌ | 7650/9000 [6:38:31<1:08:24, 3.04s/it] {'loss': '3.27', 'grad_norm': '1.976', 'learning_rate': '3.013e-06', 'epoch': '0.2752'} + 85%|█████████████████████████▌ | 7650/9000 [6:38:31<1:08:24, 3.04s/it] {'lm_loss': '0.8656', 'visual_loss': '0.9586', 'seg_loss': '0', 'dino_loss': '0', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.1792', 'siglip_loss': '0.7794', 'epoch': '0.2752'} + 85%|█████████████████████████▌ | 7650/9000 [6:38:31<1:08:24, 3.04s/it][Dataset] cur_step=7651 phase=D_mixed_covt +[Dataset] cur_step=7651 phase=D_mixed_covt[Dataset] cur_step=7651 phase=D_mixed_covt[Dataset] cur_step=7651 phase=D_mixed_covt +[Dataset] cur_step=7651 phase=D_mixed_covt + + + 85%|███████████████████████████▏ | 7651/9000 [6:38:32<54:09, 2.41s/it][Dataset] cur_step=7651 phase=D_mixed_covt +[Dataset] cur_step=7651 phase=D_mixed_covt[Dataset] cur_step=7651 phase=D_mixed_covt + + {'loss': '1.635', 'grad_norm': '4.582', 'learning_rate': '3.009e-06', 'epoch': '0.2752'} + 85%|███████████████████████████▏ | 7651/9000 [6:38:32<54:09, 2.41s/it] {'lm_loss': '0.7918', 'visual_loss': '2.46', 'seg_loss': '0.6446', 'dino_loss': '0.8847', 'depth_loss': '0.1896', 'vggt_mse_loss': '0.1882', 'vggt_cos_loss': '0.0144', 'pidinet_loss': '0.2142', 'siglip_loss': '0.527', 'epoch': '0.2752'} + 85%|███████████████████████████▏ | 7651/9000 [6:38:35<54:09, 2.41s/it][Dataset] cur_step=7652 phase=D_mixed_covt +[Dataset] cur_step=7652 phase=D_mixed_covt +[Dataset] cur_step=7652 phase=D_mixed_covt +[Dataset] cur_step=7652 phase=D_mixed_covt[Dataset] cur_step=7652 phase=D_mixed_covt + +[Dataset] cur_step=7652 phase=D_mixed_covt +[Dataset] cur_step=7652 phase=D_mixed_covt + 85%|█████████████████████████▌ | 7652/9000 [6:38:36<1:02:49, 2.80s/it][Dataset] cur_step=7652 phase=D_mixed_covt + {'loss': '3.072', 'grad_norm': '2.242', 'learning_rate': '3.004e-06', 'epoch': '0.2753'} + 85%|█████████████████████████▌ | 7652/9000 [6:38:36<1:02:49, 2.80s/it] {'lm_loss': '0.8819', 'visual_loss': '2.399', 'seg_loss': '0.7332', 'dino_loss': '0.8571', 'depth_loss': '0.126', 'vggt_mse_loss': '0.1252', 'vggt_cos_loss': '0.008424', 'pidinet_loss': '0.3446', 'siglip_loss': '0.338', 'epoch': '0.2753'} + 85%|█████████████████████████▌ | 7652/9000 [6:38:38<1:02:49, 2.80s/it][Dataset] cur_step=7653 phase=D_mixed_covt +[Dataset] cur_step=7653 phase=D_mixed_covt[Dataset] cur_step=7653 phase=D_mixed_covt + +[Dataset] cur_step=7653 phase=D_mixed_covt +[Dataset] cur_step=7653 phase=D_mixed_covt + 85%|█████████████████████████▌ | 7653/9000 [6:38:38<1:02:06, 2.77s/it][Dataset] cur_step=7653 phase=D_mixed_covt +[Dataset] cur_step=7653 phase=D_mixed_covt +[Dataset] cur_step=7653 phase=D_mixed_covt + {'loss': '3.405', 'grad_norm': '3.575', 'learning_rate': '3e-06', 'epoch': '0.2753'} + 85%|█████████████████████████▌ | 7653/9000 [6:38:38<1:02:06, 2.77s/it] {'lm_loss': '0.5783', 'visual_loss': '2.561', 'seg_loss': '0.6919', 'dino_loss': '0.9199', 'depth_loss': '0.2219', 'vggt_mse_loss': '0.2206', 'vggt_cos_loss': '0.0137', 'pidinet_loss': '0.2114', 'siglip_loss': '0.5161', 'epoch': '0.2753'} + 85%|█████████████████████████▌ | 7653/9000 [6:38:40<1:02:06, 2.77s/it][Dataset] cur_step=7654 phase=D_mixed_covt +[Dataset] cur_step=7654 phase=D_mixed_covt[Dataset] cur_step=7654 phase=D_mixed_covt + +[Dataset] cur_step=7654 phase=D_mixed_covt +[Dataset] cur_step=7654 phase=D_mixed_covt +[Dataset] cur_step=7654 phase=D_mixed_covt +[Dataset] cur_step=7654 phase=D_mixed_covt + 85%|█████████████████████████▌ | 7654/9000 [6:38:41<1:01:53, 2.76s/it][Dataset] cur_step=7654 phase=D_mixed_covt + {'loss': '3.086', 'grad_norm': '6.149', 'learning_rate': '2.996e-06', 'epoch': '0.2754'} + 85%|█████████████████████████▌ | 7654/9000 [6:38:41<1:01:53, 2.76s/it] {'lm_loss': '0.5919', 'visual_loss': '2.473', 'seg_loss': '0.5919', 'dino_loss': '0.9675', 'depth_loss': '0.2209', 'vggt_mse_loss': '0.2194', 'vggt_cos_loss': '0.0151', 'pidinet_loss': '0.2625', 'siglip_loss': '0.4299', 'epoch': '0.2754'} + 85%|█████████████████████████▌ | 7654/9000 [6:38:42<1:01:53, 2.76s/it][Dataset] cur_step=7655 phase=D_mixed_covt +[Dataset] cur_step=7655 phase=D_mixed_covt +[Dataset] cur_step=7655 phase=D_mixed_covt +[Dataset] cur_step=7655 phase=D_mixed_covt[Dataset] cur_step=7655 phase=D_mixed_covt + +[Dataset] cur_step=7655 phase=D_mixed_covt +[Dataset] cur_step=7655 phase=D_mixed_covt[Dataset] cur_step=7655 phase=D_mixed_covt + + 85%|███████████████████████████▏ | 7655/9000 [6:38:43<56:08, 2.50s/it] {'loss': '3.091', 'grad_norm': '3.565', 'learning_rate': '2.991e-06', 'epoch': '0.2754'} + 85%|███████████████████████████▏ | 7655/9000 [6:38:43<56:08, 2.50s/it] {'lm_loss': '0.8237', 'visual_loss': '2.486', 'seg_loss': '0.6748', 'dino_loss': '0.9145', 'depth_loss': '0.2163', 'vggt_mse_loss': '0.2148', 'vggt_cos_loss': '0.01477', 'pidinet_loss': '0.3092', 'siglip_loss': '0.3715', 'epoch': '0.2754'} + 85%|███████████████████████████▏ | 7655/9000 [6:38:45<56:08, 2.50s/it][Dataset] cur_step=7656 phase=D_mixed_covt +[Dataset] cur_step=7656 phase=D_mixed_covt +[Dataset] cur_step=7656 phase=D_mixed_covt +[Dataset] cur_step=7656 phase=D_mixed_covt[Dataset] cur_step=7656 phase=D_mixed_covt + +[Dataset] cur_step=7656 phase=D_mixed_covt +[Dataset] cur_step=7656 phase=D_mixed_covt + 85%|█████████████████████████▌ | 7656/9000 [6:38:48<1:12:28, 3.24s/it][Dataset] cur_step=7656 phase=D_mixed_covt + {'loss': '3.397', 'grad_norm': '5.58', 'learning_rate': '2.987e-06', 'epoch': '0.2754'} + 85%|█████████████████████████▌ | 7656/9000 [6:38:48<1:12:28, 3.24s/it] {'lm_loss': '0.5047', 'visual_loss': '2.919', 'seg_loss': '0.8657', 'dino_loss': '0.9166', 'depth_loss': '0.2881', 'vggt_mse_loss': '0.2859', 'vggt_cos_loss': '0.02183', 'pidinet_loss': '0.2546', 'siglip_loss': '0.5945', 'epoch': '0.2754'} + 85%|█████████████████████████▌ | 7656/9000 [6:38:49<1:12:28, 3.24s/it][Dataset] cur_step=7657 phase=D_mixed_covt +[Dataset] cur_step=7657 phase=D_mixed_covt +[Dataset] cur_step=7657 phase=D_mixed_covt[Dataset] cur_step=7657 phase=D_mixed_covt + +[Dataset] cur_step=7657 phase=D_mixed_covt +[Dataset] cur_step=7657 phase=D_mixed_covt +[Dataset] cur_step=7657 phase=D_mixed_covt +[Dataset] cur_step=7657 phase=D_mixed_covt 85%|█████████████████████████▌ | 7657/9000 [6:38:50<1:02:58, 2.81s/it] + {'loss': '3.121', 'grad_norm': '5.224', 'learning_rate': '2.983e-06', 'epoch': '0.2755'} + 85%|█████████████████████████▌ | 7657/9000 [6:38:50<1:02:58, 2.81s/it] {'lm_loss': '0.7757', 'visual_loss': '1.889', 'seg_loss': '0.8929', 'dino_loss': '0', 'depth_loss': '0.1735', 'vggt_mse_loss': '0.1726', 'vggt_cos_loss': '0.009137', 'pidinet_loss': '0', 'siglip_loss': '0.8225', 'epoch': '0.2755'} + 85%|█████████████████████████▌ | 7657/9000 [6:38:51<1:02:58, 2.81s/it][Dataset] cur_step=7658 phase=D_mixed_covt +[Dataset] cur_step=7658 phase=D_mixed_covt +[Dataset] cur_step=7658 phase=D_mixed_covt[Dataset] cur_step=7658 phase=D_mixed_covt + +[Dataset] cur_step=7658 phase=D_mixed_covt 85%|███████████████████████████▏ | 7658/9000 [6:38:52<56:30, 2.53s/it] +[Dataset] cur_step=7658 phase=D_mixed_covt +[Dataset] cur_step=7658 phase=D_mixed_covt +[Dataset] cur_step=7658 phase=D_mixed_covt + {'loss': '2.355', 'grad_norm': '4.839', 'learning_rate': '2.978e-06', 'epoch': '0.2755'} + 85%|███████████████████████████▏ | 7658/9000 [6:38:52<56:30, 2.53s/it] {'lm_loss': '0.9726', 'visual_loss': '2.58', 'seg_loss': '0.6527', 'dino_loss': '0.8916', 'depth_loss': '0.4588', 'vggt_mse_loss': '0.4559', 'vggt_cos_loss': '0.0284', 'pidinet_loss': '0.2533', 'siglip_loss': '0.324', 'epoch': '0.2755'} + 85%|███████████████████████████▏ | 7658/9000 [6:38:55<56:30, 2.53s/it][Dataset] cur_step=7659 phase=D_mixed_covt +[Dataset] cur_step=7659 phase=D_mixed_covt +[Dataset] cur_step=7659 phase=D_mixed_covt +[Dataset] cur_step=7659 phase=D_mixed_covt +[Dataset] cur_step=7659 phase=D_mixed_covt + 85%|█████████████████████████▌ | 7659/9000 [6:38:56<1:06:28, 2.97s/it][Dataset] cur_step=7659 phase=D_mixed_covt[Dataset] cur_step=7659 phase=D_mixed_covt + +[Dataset] cur_step=7659 phase=D_mixed_covt + {'loss': '2.858', 'grad_norm': '4.524', 'learning_rate': '2.974e-06', 'epoch': '0.2755'} + 85%|█████████████████████████▌ | 7659/9000 [6:38:56<1:06:28, 2.97s/it] {'lm_loss': '0.8546', 'visual_loss': '2.431', 'seg_loss': '0.6899', 'dino_loss': '0.8986', 'depth_loss': '0.2103', 'vggt_mse_loss': '0.2088', 'vggt_cos_loss': '0.01488', 'pidinet_loss': '0.196', 'siglip_loss': '0.4366', 'epoch': '0.2755'} + 85%|█████████████████████████▌ | 7659/9000 [6:38:57<1:06:28, 2.97s/it][Dataset] cur_step=7660 phase=D_mixed_covt +[Dataset] cur_step=7660 phase=D_mixed_covt + 85%|█████████████████████████▌ | 7660/9000 [6:38:58<1:01:04, 2.73s/it][Dataset] cur_step=7660 phase=D_mixed_covt +[Dataset] cur_step=7660 phase=D_mixed_covt +[Dataset] cur_step=7660 phase=D_mixed_covt +[Dataset] cur_step=7660 phase=D_mixed_covt +[Dataset] cur_step=7660 phase=D_mixed_covt +[Dataset] cur_step=7660 phase=D_mixed_covt + {'loss': '3.386', 'grad_norm': '3.738', 'learning_rate': '2.97e-06', 'epoch': '0.2756'} + 85%|█████████████████████████▌ | 7660/9000 [6:38:58<1:01:04, 2.73s/it] {'lm_loss': '0.5558', 'visual_loss': '2.77', 'seg_loss': '0.6495', 'dino_loss': '0.9052', 'depth_loss': '0.2041', 'vggt_mse_loss': '0.2025', 'vggt_cos_loss': '0.01568', 'pidinet_loss': '0.2089', 'siglip_loss': '0.8027', 'epoch': '0.2756'} + 85%|█████████████████████████▌ | 7660/9000 [6:39:00<1:01:04, 2.73s/it][Dataset] cur_step=7661 phase=D_mixed_covt +[Dataset] cur_step=7661 phase=D_mixed_covt +[Dataset] cur_step=7661 phase=D_mixed_covt +[Dataset] cur_step=7661 phase=D_mixed_covt[Dataset] cur_step=7661 phase=D_mixed_covt + +[Dataset] cur_step=7661 phase=D_mixed_covt + 85%|█████████████████████████▌ | 7661/9000 [6:39:01<1:04:38, 2.90s/it][Dataset] cur_step=7661 phase=D_mixed_covt +[Dataset] cur_step=7661 phase=D_mixed_covt + {'loss': '3.255', 'grad_norm': '3.727', 'learning_rate': '2.965e-06', 'epoch': '0.2756'} + 85%|█████████████████████████▌ | 7661/9000 [6:39:01<1:04:38, 2.90s/it] {'lm_loss': '1.175', 'visual_loss': '2.339', 'seg_loss': '0.6647', 'dino_loss': '0.9104', 'depth_loss': '0.2634', 'vggt_mse_loss': '0.2612', 'vggt_cos_loss': '0.02269', 'pidinet_loss': '0', 'siglip_loss': '0.5005', 'epoch': '0.2756'} + 85%|█████████████████████████▌ | 7661/9000 [6:39:03<1:04:38, 2.90s/it][Dataset] cur_step=7662 phase=D_mixed_covt[Dataset] cur_step=7662 phase=D_mixed_covt + +[Dataset] cur_step=7662 phase=D_mixed_covt + 85%|█████████████████████████▌ | 7662/9000 [6:39:04<1:02:17, 2.79s/it][Dataset] cur_step=7662 phase=D_mixed_covt +[Dataset] cur_step=7662 phase=D_mixed_covt +[Dataset] cur_step=7662 phase=D_mixed_covt +[Dataset] cur_step=7662 phase=D_mixed_covt +[Dataset] cur_step=7662 phase=D_mixed_covt + {'loss': '3.028', 'grad_norm': '3.574', 'learning_rate': '2.961e-06', 'epoch': '0.2756'} + 85%|█████████████████████████▌ | 7662/9000 [6:39:04<1:02:17, 2.79s/it] {'lm_loss': '0.6144', 'visual_loss': '2.524', 'seg_loss': '0.7026', 'dino_loss': '0.9043', 'depth_loss': '0.2416', 'vggt_mse_loss': '0.2398', 'vggt_cos_loss': '0.01819', 'pidinet_loss': '0.245', 'siglip_loss': '0.4309', 'epoch': '0.2756'} + 85%|█████████████████████████▌ | 7662/9000 [6:39:06<1:02:17, 2.79s/it][Dataset] cur_step=7663 phase=D_mixed_covt +[Dataset] cur_step=7663 phase=D_mixed_covt +[Dataset] cur_step=7663 phase=D_mixed_covt +[Dataset] cur_step=7663 phase=D_mixed_covt + 85%|█████████████████████████▌ | 7663/9000 [6:39:07<1:05:27, 2.94s/it][Dataset] cur_step=7663 phase=D_mixed_covt +[Dataset] cur_step=7663 phase=D_mixed_covt +[Dataset] cur_step=7663 phase=D_mixed_covt +[Dataset] cur_step=7663 phase=D_mixed_covt + {'loss': '3.043', 'grad_norm': '2.914', 'learning_rate': '2.957e-06', 'epoch': '0.2757'} + 85%|█████████████████████████▌ | 7663/9000 [6:39:07<1:05:27, 2.94s/it] {'lm_loss': '0.4843', 'visual_loss': '2.197', 'seg_loss': '0.4838', 'dino_loss': '0.8695', 'depth_loss': '0.1585', 'vggt_mse_loss': '0.1577', 'vggt_cos_loss': '0.008491', 'pidinet_loss': '0.1884', 'siglip_loss': '0.497', 'epoch': '0.2757'} + 85%|█████████████████████████▌ | 7663/9000 [6:39:09<1:05:27, 2.94s/it][Dataset] cur_step=7664 phase=D_mixed_covt +[Dataset] cur_step=7664 phase=D_mixed_covt +[Dataset] cur_step=7664 phase=D_mixed_covt +[Dataset] cur_step=7664 phase=D_mixed_covt +[Dataset] cur_step=7664 phase=D_mixed_covt[Dataset] cur_step=7664 phase=D_mixed_covt + 85%|█████████████████████████▌ | 7664/9000 [6:39:09<1:00:16, 2.71s/it] +[Dataset] cur_step=7664 phase=D_mixed_covt +[Dataset] cur_step=7664 phase=D_mixed_covt + {'loss': '3.263', 'grad_norm': '2.322', 'learning_rate': '2.952e-06', 'epoch': '0.2757'} + 85%|█████████████████████████▌ | 7664/9000 [6:39:09<1:00:16, 2.71s/it] {'lm_loss': '0.08426', 'visual_loss': '2.76', 'seg_loss': '0.8196', 'dino_loss': '0.9444', 'depth_loss': '0.1925', 'vggt_mse_loss': '0.1913', 'vggt_cos_loss': '0.01168', 'pidinet_loss': '0.2255', 'siglip_loss': '0.5781', 'epoch': '0.2757'} + 85%|█████████████████████████▌ | 7664/9000 [6:39:10<1:00:16, 2.71s/it][Dataset] cur_step=7665 phase=D_mixed_covt +[Dataset] cur_step=7665 phase=D_mixed_covt +[Dataset] cur_step=7665 phase=D_mixed_covt +[Dataset] cur_step=7665 phase=D_mixed_covt +[Dataset] cur_step=7665 phase=D_mixed_covt + 85%|███████████████████████████▎ | 7665/9000 [6:39:11<55:45, 2.51s/it][Dataset] cur_step=7665 phase=D_mixed_covt +[Dataset] cur_step=7665 phase=D_mixed_covt +[Dataset] cur_step=7665 phase=D_mixed_covt + {'loss': '3.209', 'grad_norm': '3.594', 'learning_rate': '2.948e-06', 'epoch': '0.2757'} + 85%|███████████████████████████▎ | 7665/9000 [6:39:11<55:45, 2.51s/it] {'lm_loss': '0.6774', 'visual_loss': '1.491', 'seg_loss': '0', 'dino_loss': '0.9183', 'depth_loss': '0.4119', 'vggt_mse_loss': '0.4088', 'vggt_cos_loss': '0.03159', 'pidinet_loss': '0.1605', 'siglip_loss': '0', 'epoch': '0.2757'} + 85%|███████████████████████████▎ | 7665/9000 [6:39:12<55:45, 2.51s/it][Dataset] cur_step=7666 phase=D_mixed_covt +[Dataset] cur_step=7666 phase=D_mixed_covt +[Dataset] cur_step=7666 phase=D_mixed_covt[Dataset] cur_step=7666 phase=D_mixed_covt + +[Dataset] cur_step=7666 phase=D_mixed_covt +[Dataset] cur_step=7666 phase=D_mixed_covt +[Dataset] cur_step=7666 phase=D_mixed_covt + 85%|███████████████████████████▎ | 7666/9000 [6:39:12<47:40, 2.14s/it][Dataset] cur_step=7666 phase=D_mixed_covt + {'loss': '2.031', 'grad_norm': '5.732', 'learning_rate': '2.944e-06', 'epoch': '0.2758'} + 85%|███████████████████████████▎ | 7666/9000 [6:39:12<47:40, 2.14s/it] {'lm_loss': '1.021', 'visual_loss': '2.745', 'seg_loss': '0.6762', 'dino_loss': '0.9055', 'depth_loss': '0.3144', 'vggt_mse_loss': '0.3124', 'vggt_cos_loss': '0.02059', 'pidinet_loss': '0.2302', 'siglip_loss': '0.619', 'epoch': '0.2758'} + 85%|███████████████████████████▎ | 7666/9000 [6:39:14<47:40, 2.14s/it][Dataset] cur_step=7667 phase=D_mixed_covt +[Dataset] cur_step=7667 phase=D_mixed_covt +[Dataset] cur_step=7667 phase=D_mixed_covt + 85%|███████████████████████████▎ | 7667/9000 [6:39:14<46:37, 2.10s/it][Dataset] cur_step=7667 phase=D_mixed_covt +[Dataset] cur_step=7667 phase=D_mixed_covt +[Dataset] cur_step=7667 phase=D_mixed_covt +[Dataset] cur_step=7667 phase=D_mixed_covt +[Dataset] cur_step=7667 phase=D_mixed_covt + {'loss': '3.525', 'grad_norm': '3.677', 'learning_rate': '2.939e-06', 'epoch': '0.2758'} + 85%|███████████████████████████▎ | 7667/9000 [6:39:14<46:37, 2.10s/it] {'lm_loss': '0.6857', 'visual_loss': '2.486', 'seg_loss': '0.709', 'dino_loss': '0.915', 'depth_loss': '0.2037', 'vggt_mse_loss': '0.2023', 'vggt_cos_loss': '0.01439', 'pidinet_loss': '0.2521', 'siglip_loss': '0.4067', 'epoch': '0.2758'} + 85%|███████████████████████████▎ | 7667/9000 [6:39:17<46:37, 2.10s/it][Dataset] cur_step=7668 phase=D_mixed_covt +[Dataset] cur_step=7668 phase=D_mixed_covt +[Dataset] cur_step=7668 phase=D_mixed_covt +[Dataset] cur_step=7668 phase=D_mixed_covt 85%|███████████████████████████▎ | 7668/9000 [6:39:18<54:44, 2.47s/it] +[Dataset] cur_step=7668 phase=D_mixed_covt +[Dataset] cur_step=7668 phase=D_mixed_covt +[Dataset] cur_step=7668 phase=D_mixed_covt +[Dataset] cur_step=7668 phase=D_mixed_covt + {'loss': '3.246', 'grad_norm': '3.081', 'learning_rate': '2.935e-06', 'epoch': '0.2759'} + 85%|███████████████████████████▎ | 7668/9000 [6:39:18<54:44, 2.47s/it] {'lm_loss': '0.7517', 'visual_loss': '2.569', 'seg_loss': '0.6056', 'dino_loss': '0.8939', 'depth_loss': '0.2208', 'vggt_mse_loss': '0.2191', 'vggt_cos_loss': '0.01757', 'pidinet_loss': '0.22', 'siglip_loss': '0.629', 'epoch': '0.2759'} + 85%|███████████████████████████▎ | 7668/9000 [6:39:20<54:44, 2.47s/it][Dataset] cur_step=7669 phase=D_mixed_covt +[Dataset] cur_step=7669 phase=D_mixed_covt +[Dataset] cur_step=7669 phase=D_mixed_covt +[Dataset] cur_step=7669 phase=D_mixed_covt +[Dataset] cur_step=7669 phase=D_mixed_covt +[Dataset] cur_step=7669 phase=D_mixed_covt +[Dataset] cur_step=7669 phase=D_mixed_covt + 85%|███████████████████████████▎ | 7669/9000 [6:39:21<56:46, 2.56s/it][Dataset] cur_step=7669 phase=D_mixed_covt + {'loss': '2.993', 'grad_norm': '2.746', 'learning_rate': '2.931e-06', 'epoch': '0.2759'} + 85%|███████████████████████████▎ | 7669/9000 [6:39:21<56:46, 2.56s/it] {'lm_loss': '0.08248', 'visual_loss': '2.39', 'seg_loss': '0.5745', 'dino_loss': '0.8622', 'depth_loss': '0.173', 'vggt_mse_loss': '0.1721', 'vggt_cos_loss': '0.008926', 'pidinet_loss': '0.2605', 'siglip_loss': '0.5194', 'epoch': '0.2759'} + 85%|███████████████████████████▎ | 7669/9000 [6:39:22<56:46, 2.56s/it][Dataset] cur_step=7670 phase=D_mixed_covt +[Dataset] cur_step=7670 phase=D_mixed_covt +[Dataset] cur_step=7670 phase=D_mixed_covt +[Dataset] cur_step=7670 phase=D_mixed_covt[Dataset] cur_step=7670 phase=D_mixed_covt + + 85%|█████████████████████████▌ | 7670/9000 [6:39:27<1:23:39, 3.77s/it][Dataset] cur_step=7670 phase=D_mixed_covt +[Dataset] cur_step=7670 phase=D_mixed_covt +[Dataset] cur_step=7670 phase=D_mixed_covt + {'loss': '2.838', 'grad_norm': '3.548', 'learning_rate': '2.926e-06', 'epoch': '0.2759'} + 85%|█████████████████████████▌ | 7670/9000 [6:39:27<1:23:39, 3.77s/it] {'lm_loss': '0.5123', 'visual_loss': '2.716', 'seg_loss': '0.6831', 'dino_loss': '0.9252', 'depth_loss': '0.2852', 'vggt_mse_loss': '0.2835', 'vggt_cos_loss': '0.01704', 'pidinet_loss': '0.1579', 'siglip_loss': '0.665', 'epoch': '0.2759'} + 85%|█████████████████████████▌ | 7670/9000 [6:39:30<1:23:39, 3.77s/it][Dataset] cur_step=7671 phase=D_mixed_covt +[Dataset] cur_step=7671 phase=D_mixed_covt +[Dataset] cur_step=7671 phase=D_mixed_covt 85%|█████████████████████████▌ | 7671/9000 [6:39:30<1:20:41, 3.64s/it] +[Dataset] cur_step=7671 phase=D_mixed_covt +[Dataset] cur_step=7671 phase=D_mixed_covt +[Dataset] cur_step=7671 phase=D_mixed_covt +[Dataset] cur_step=7671 phase=D_mixed_covt +[Dataset] cur_step=7671 phase=D_mixed_covt + {'loss': '3.232', 'grad_norm': '2.567', 'learning_rate': '2.922e-06', 'epoch': '0.276'} + 85%|█████████████████████████▌ | 7671/9000 [6:39:30<1:20:41, 3.64s/it] {'lm_loss': '0.7492', 'visual_loss': '2.04', 'seg_loss': '0.6012', 'dino_loss': '0.8341', 'depth_loss': '0.2128', 'vggt_mse_loss': '0.2119', 'vggt_cos_loss': '0.009628', 'pidinet_loss': '0', 'siglip_loss': '0.3921', 'epoch': '0.276'} + 85%|█████████████████████████▌ | 7671/9000 [6:39:33<1:20:41, 3.64s/it][Dataset] cur_step=7672 phase=D_mixed_covt +[Dataset] cur_step=7672 phase=D_mixed_covt +[Dataset] cur_step=7672 phase=D_mixed_covt +[Dataset] cur_step=7672 phase=D_mixed_covt +[Dataset] cur_step=7672 phase=D_mixed_covt + 85%|█████████████████████████▌ | 7672/9000 [6:39:33<1:15:17, 3.40s/it][Dataset] cur_step=7672 phase=D_mixed_covt +[Dataset] cur_step=7672 phase=D_mixed_covt +[Dataset] cur_step=7672 phase=D_mixed_covt + {'loss': '3.006', 'grad_norm': '3.294', 'learning_rate': '2.918e-06', 'epoch': '0.276'} + 85%|█████████████████████████▌ | 7672/9000 [6:39:33<1:15:17, 3.40s/it] {'lm_loss': '0.6952', 'visual_loss': '2.458', 'seg_loss': '0.7872', 'dino_loss': '0.9297', 'depth_loss': '0.2021', 'vggt_mse_loss': '0.2009', 'vggt_cos_loss': '0.01198', 'pidinet_loss': '0.2005', 'siglip_loss': '0.3389', 'epoch': '0.276'} + 85%|█████████████████████████▌ | 7672/9000 [6:39:35<1:15:17, 3.40s/it][Dataset] cur_step=7673 phase=D_mixed_covt +[Dataset] cur_step=7673 phase=D_mixed_covt +[Dataset] cur_step=7673 phase=D_mixed_covt[Dataset] cur_step=7673 phase=D_mixed_covt + +[Dataset] cur_step=7673 phase=D_mixed_covt + 85%|█████████████████████████▌ | 7673/9000 [6:39:36<1:10:11, 3.17s/it][Dataset] cur_step=7673 phase=D_mixed_covt +[Dataset] cur_step=7673 phase=D_mixed_covt +[Dataset] cur_step=7673 phase=D_mixed_covt + {'loss': '3.269', 'grad_norm': '6.274', 'learning_rate': '2.913e-06', 'epoch': '0.276'} + 85%|█████████████████████████▌ | 7673/9000 [6:39:36<1:10:11, 3.17s/it] {'lm_loss': '0.9452', 'visual_loss': '2.573', 'seg_loss': '0.7527', 'dino_loss': '0.9063', 'depth_loss': '0.1855', 'vggt_mse_loss': '0.1842', 'vggt_cos_loss': '0.01296', 'pidinet_loss': '0.2881', 'siglip_loss': '0.4404', 'epoch': '0.276'} + 85%|█████████████████████████▌ | 7673/9000 [6:39:38<1:10:11, 3.17s/it][Dataset] cur_step=7674 phase=D_mixed_covt +[Dataset] cur_step=7674 phase=D_mixed_covt +[Dataset] cur_step=7674 phase=D_mixed_covt +[Dataset] cur_step=7674 phase=D_mixed_covt 85%|█████████████████████████▌ | 7674/9000 [6:39:39<1:06:25, 3.01s/it] +[Dataset] cur_step=7674 phase=D_mixed_covt +[Dataset] cur_step=7674 phase=D_mixed_covt +[Dataset] cur_step=7674 phase=D_mixed_covt +[Dataset] cur_step=7674 phase=D_mixed_covt + {'loss': '3.203', 'grad_norm': '2.535', 'learning_rate': '2.909e-06', 'epoch': '0.2761'} + 85%|█████████████████████████▌ | 7674/9000 [6:39:39<1:06:25, 3.01s/it] {'lm_loss': '1.109', 'visual_loss': '1.924', 'seg_loss': '0.8449', 'dino_loss': '0.8994', 'depth_loss': '0.18', 'vggt_mse_loss': '0.1794', 'vggt_cos_loss': '0.005514', 'pidinet_loss': '0', 'siglip_loss': '0', 'epoch': '0.2761'} + 85%|█████████████████████████▌ | 7674/9000 [6:39:40<1:06:25, 3.01s/it][Dataset] cur_step=7675 phase=D_mixed_covt +[Dataset] cur_step=7675 phase=D_mixed_covt +[Dataset] cur_step=7675 phase=D_mixed_covt[Dataset] cur_step=7675 phase=D_mixed_covt + + 85%|███████████████████████████▎ | 7675/9000 [6:39:40<57:51, 2.62s/it][Dataset] cur_step=7675 phase=D_mixed_covt +[Dataset] cur_step=7675 phase=D_mixed_covt +[Dataset] cur_step=7675 phase=D_mixed_covt +[Dataset] cur_step=7675 phase=D_mixed_covt + {'loss': '2.788', 'grad_norm': '4.134', 'learning_rate': '2.905e-06', 'epoch': '0.2761'} + 85%|███████████████████████████▎ | 7675/9000 [6:39:40<57:51, 2.62s/it] {'lm_loss': '0.9028', 'visual_loss': '2.634', 'seg_loss': '0.7648', 'dino_loss': '0.9359', 'depth_loss': '0.1878', 'vggt_mse_loss': '0.1866', 'vggt_cos_loss': '0.01194', 'pidinet_loss': '0.2209', 'siglip_loss': '0.5243', 'epoch': '0.2761'} + 85%|███████████████████████████▎ | 7675/9000 [6:39:42<57:51, 2.62s/it][Dataset] cur_step=7676 phase=D_mixed_covt +[Dataset] cur_step=7676 phase=D_mixed_covt +[Dataset] cur_step=7676 phase=D_mixed_covt +[Dataset] cur_step=7676 phase=D_mixed_covt + 85%|█████████████████████████▌ | 7676/9000 [6:39:45<1:11:58, 3.26s/it][Dataset] cur_step=7676 phase=D_mixed_covt +[Dataset] cur_step=7676 phase=D_mixed_covt +[Dataset] cur_step=7676 phase=D_mixed_covt +[Dataset] cur_step=7676 phase=D_mixed_covt + {'loss': '3.343', 'grad_norm': '2.782', 'learning_rate': '2.9e-06', 'epoch': '0.2761'} + 85%|█████████████████████████▌ | 7676/9000 [6:39:45<1:11:58, 3.26s/it] {'lm_loss': '0.6507', 'visual_loss': '2.86', 'seg_loss': '0.7748', 'dino_loss': '0.9367', 'depth_loss': '0.3682', 'vggt_mse_loss': '0.365', 'vggt_cos_loss': '0.0319', 'pidinet_loss': '0.2151', 'siglip_loss': '0.565', 'epoch': '0.2761'} + 85%|█████████████████████████▌ | 7676/9000 [6:39:47<1:11:58, 3.26s/it][Dataset] cur_step=7677 phase=D_mixed_covt +[Dataset] cur_step=7677 phase=D_mixed_covt +[Dataset] cur_step=7677 phase=D_mixed_covt +[Dataset] cur_step=7677 phase=D_mixed_covt +[Dataset] cur_step=7677 phase=D_mixed_covt +[Dataset] cur_step=7677 phase=D_mixed_covt +[Dataset] cur_step=7677 phase=D_mixed_covt + 85%|█████████████████████████▌ | 7677/9000 [6:39:48<1:13:11, 3.32s/it][Dataset] cur_step=7677 phase=D_mixed_covt + {'loss': '3.021', 'grad_norm': '9.005', 'learning_rate': '2.896e-06', 'epoch': '0.2762'} + 85%|█████████████████████████▌ | 7677/9000 [6:39:49<1:13:11, 3.32s/it] {'lm_loss': '0.04812', 'visual_loss': '2.624', 'seg_loss': '0.6241', 'dino_loss': '0.9239', 'depth_loss': '0.392', 'vggt_mse_loss': '0.3884', 'vggt_cos_loss': '0.03566', 'pidinet_loss': '0.2546', 'siglip_loss': '0.4292', 'epoch': '0.2762'} + 85%|█████████████████████████▌ | 7677/9000 [6:39:51<1:13:11, 3.32s/it][Dataset] cur_step=7678 phase=D_mixed_covt + 85%|█████████████████████████▌ | 7678/9000 [6:39:54<1:27:22, 3.97s/it][Dataset] cur_step=7678 phase=D_mixed_covt +[Dataset] cur_step=7678 phase=D_mixed_covt +[Dataset] cur_step=7678 phase=D_mixed_covt +[Dataset] cur_step=7678 phase=D_mixed_covt +[Dataset] cur_step=7678 phase=D_mixed_covt +[Dataset] cur_step=7678 phase=D_mixed_covt +[Dataset] cur_step=7678 phase=D_mixed_covt + {'loss': '3.221', 'grad_norm': '1.979', 'learning_rate': '2.892e-06', 'epoch': '0.2762'} + 85%|█████████████████████████▌ | 7678/9000 [6:39:54<1:27:22, 3.97s/it] {'lm_loss': '0.397', 'visual_loss': '2.29', 'seg_loss': '0.7065', 'dino_loss': '0.8586', 'depth_loss': '0.184', 'vggt_mse_loss': '0.1831', 'vggt_cos_loss': '0.00906', 'pidinet_loss': '0.1486', 'siglip_loss': '0.3924', 'epoch': '0.2762'} + 85%|█████████████████████████▌ | 7678/9000 [6:39:56<1:27:22, 3.97s/it][Dataset] cur_step=7679 phase=D_mixed_covt +[Dataset] cur_step=7679 phase=D_mixed_covt[Dataset] cur_step=7679 phase=D_mixed_covt + +[Dataset] cur_step=7679 phase=D_mixed_covt + 85%|█████████████████████████▌ | 7679/9000 [6:39:57<1:20:47, 3.67s/it][Dataset] cur_step=7679 phase=D_mixed_covt +[Dataset] cur_step=7679 phase=D_mixed_covt +[Dataset] cur_step=7679 phase=D_mixed_covt +[Dataset] cur_step=7679 phase=D_mixed_covt + {'loss': '3.229', 'grad_norm': '9.703', 'learning_rate': '2.888e-06', 'epoch': '0.2763'} + 85%|█████████████████████████▌ | 7679/9000 [6:39:57<1:20:47, 3.67s/it] {'lm_loss': '0.1373', 'visual_loss': '1.652', 'seg_loss': '0.6641', 'dino_loss': '0.8333', 'depth_loss': '0.1544', 'vggt_mse_loss': '0.1538', 'vggt_cos_loss': '0.005304', 'pidinet_loss': '0', 'siglip_loss': '0', 'epoch': '0.2763'} + 85%|█████████████████████████▌ | 7679/9000 [6:39:59<1:20:47, 3.67s/it][Dataset] cur_step=7680 phase=D_mixed_covt +[Dataset] cur_step=7680 phase=D_mixed_covt +[Dataset] cur_step=7680 phase=D_mixed_covt +[Dataset] cur_step=7680 phase=D_mixed_covt + 85%|█████████████████████████▌ | 7680/9000 [6:39:59<1:12:55, 3.31s/it][Dataset] cur_step=7680 phase=D_mixed_covt +[Dataset] cur_step=7680 phase=D_mixed_covt +[Dataset] cur_step=7680 phase=D_mixed_covt +[Dataset] cur_step=7680 phase=D_mixed_covt + {'loss': '2.555', 'grad_norm': '5.3', 'learning_rate': '2.883e-06', 'epoch': '0.2763'} + 85%|█████████████████████████▌ | 7680/9000 [6:39:59<1:12:55, 3.31s/it] {'lm_loss': '0.8049', 'visual_loss': '2.684', 'seg_loss': '0.8123', 'dino_loss': '0.9254', 'depth_loss': '0.2002', 'vggt_mse_loss': '0.1989', 'vggt_cos_loss': '0.01337', 'pidinet_loss': '0.2495', 'siglip_loss': '0.497', 'epoch': '0.2763'} + 85%|█████████████████████████▌ | 7680/9000 [6:40:01<1:12:55, 3.31s/it][Dataset] cur_step=7681 phase=D_mixed_covt[Dataset] cur_step=7681 phase=D_mixed_covt + +[Dataset] cur_step=7681 phase=D_mixed_covt +[Dataset] cur_step=7681 phase=D_mixed_covt +[Dataset] cur_step=7681 phase=D_mixed_covt +[Dataset] cur_step=7681 phase=D_mixed_covt + 85%|█████████████████████████▌ | 7681/9000 [6:40:01<1:03:22, 2.88s/it][Dataset] cur_step=7681 phase=D_mixed_covt +[Dataset] cur_step=7681 phase=D_mixed_covt + {'loss': '3.226', 'grad_norm': '2.856', 'learning_rate': '2.879e-06', 'epoch': '0.2763'} + 85%|█████████████████████████▌ | 7681/9000 [6:40:01<1:03:22, 2.88s/it] {'lm_loss': '1.093', 'visual_loss': '2.931', 'seg_loss': '0.9817', 'dino_loss': '0.9302', 'depth_loss': '0.1972', 'vggt_mse_loss': '0.1957', 'vggt_cos_loss': '0.01496', 'pidinet_loss': '0.2148', 'siglip_loss': '0.6066', 'epoch': '0.2763'} + 85%|█████████████████████████▌ | 7681/9000 [6:40:03<1:03:22, 2.88s/it][Dataset] cur_step=7682 phase=D_mixed_covt[Dataset] cur_step=7682 phase=D_mixed_covt + +[Dataset] cur_step=7682 phase=D_mixed_covt +[Dataset] cur_step=7682 phase=D_mixed_covt +[Dataset] cur_step=7682 phase=D_mixed_covt +[Dataset] cur_step=7682 phase=D_mixed_covt + 85%|███████████████████████████▎ | 7682/9000 [6:40:03<56:30, 2.57s/it][Dataset] cur_step=7682 phase=D_mixed_covt +[Dataset] cur_step=7682 phase=D_mixed_covt + {'loss': '3.135', 'grad_norm': '3.407', 'learning_rate': '2.875e-06', 'epoch': '0.2764'} + 85%|███████████████████████████▎ | 7682/9000 [6:40:03<56:30, 2.57s/it] {'lm_loss': '0.7894', 'visual_loss': '2.601', 'seg_loss': '0.7589', 'dino_loss': '0.9386', 'depth_loss': '0.1705', 'vggt_mse_loss': '0.1692', 'vggt_cos_loss': '0.01276', 'pidinet_loss': '0.293', 'siglip_loss': '0.4398', 'epoch': '0.2764'} + 85%|███████████████████████████▎ | 7682/9000 [6:40:06<56:30, 2.57s/it][Dataset] cur_step=7683 phase=D_mixed_covt +[Dataset] cur_step=7683 phase=D_mixed_covt +[Dataset] cur_step=7683 phase=D_mixed_covt +[Dataset] cur_step=7683 phase=D_mixed_covt +[Dataset] cur_step=7683 phase=D_mixed_covt + 85%|█████████████████████████▌ | 7683/9000 [6:40:09<1:17:32, 3.53s/it][Dataset] cur_step=7683 phase=D_mixed_covt +[Dataset] cur_step=7683 phase=D_mixed_covt +[Dataset] cur_step=7683 phase=D_mixed_covt + {'loss': '3.519', 'grad_norm': '3.034', 'learning_rate': '2.87e-06', 'epoch': '0.2764'} + 85%|█████████████████████████▌ | 7683/9000 [6:40:09<1:17:32, 3.53s/it] {'lm_loss': '0.8993', 'visual_loss': '2.302', 'seg_loss': '0.7009', 'dino_loss': '0.9026', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2276', 'siglip_loss': '0.4704', 'epoch': '0.2764'} + 85%|█████████████████████████▌ | 7683/9000 [6:40:11<1:17:32, 3.53s/it][Dataset] cur_step=7684 phase=D_mixed_covt[Dataset] cur_step=7684 phase=D_mixed_covt + +[Dataset] cur_step=7684 phase=D_mixed_covt[Dataset] cur_step=7684 phase=D_mixed_covt + + 85%|█████████████████████████▌ | 7684/9000 [6:40:11<1:10:00, 3.19s/it][Dataset] cur_step=7684 phase=D_mixed_covt +[Dataset] cur_step=7684 phase=D_mixed_covt +[Dataset] cur_step=7684 phase=D_mixed_covt[Dataset] cur_step=7684 phase=D_mixed_covt + + {'loss': '3.181', 'grad_norm': '2.634', 'learning_rate': '2.866e-06', 'epoch': '0.2764'} + 85%|█████████████████████████▌ | 7684/9000 [6:40:11<1:10:00, 3.19s/it] {'lm_loss': '0.1164', 'visual_loss': '2.108', 'seg_loss': '0.5708', 'dino_loss': '0.8396', 'depth_loss': '0.2024', 'vggt_mse_loss': '0.2009', 'vggt_cos_loss': '0.01469', 'pidinet_loss': '0.2104', 'siglip_loss': '0.2851', 'epoch': '0.2764'} + 85%|█████████████████████████▌ | 7684/9000 [6:40:13<1:10:00, 3.19s/it][Dataset] cur_step=7685 phase=D_mixed_covt +[Dataset] cur_step=7685 phase=D_mixed_covt +[Dataset] cur_step=7685 phase=D_mixed_covt[Dataset] cur_step=7685 phase=D_mixed_covt 85%|█████████████████████████▌ | 7685/9000 [6:40:13<1:01:36, 2.81s/it] + +[Dataset] cur_step=7685 phase=D_mixed_covt +[Dataset] cur_step=7685 phase=D_mixed_covt +[Dataset] cur_step=7685 phase=D_mixed_covt +[Dataset] cur_step=7685 phase=D_mixed_covt + {'loss': '3.154', 'grad_norm': '3.169', 'learning_rate': '2.862e-06', 'epoch': '0.2765'} + 85%|█████████████████████████▌ | 7685/9000 [6:40:13<1:01:36, 2.81s/it] {'lm_loss': '0.6328', 'visual_loss': '2.671', 'seg_loss': '0.7226', 'dino_loss': '0.9386', 'depth_loss': '0.26', 'vggt_mse_loss': '0.2579', 'vggt_cos_loss': '0.02118', 'pidinet_loss': '0.2253', 'siglip_loss': '0.5241', 'epoch': '0.2765'} + 85%|█████████████████████████▌ | 7685/9000 [6:40:16<1:01:36, 2.81s/it][Dataset] cur_step=7686 phase=D_mixed_covt[Dataset] cur_step=7686 phase=D_mixed_covt + +[Dataset] cur_step=7686 phase=D_mixed_covt 85%|█████████████████████████▌ | 7686/9000 [6:40:17<1:04:32, 2.95s/it][Dataset] cur_step=7686 phase=D_mixed_covt + +[Dataset] cur_step=7686 phase=D_mixed_covt +[Dataset] cur_step=7686 phase=D_mixed_covt +[Dataset] cur_step=7686 phase=D_mixed_covt +[Dataset] cur_step=7686 phase=D_mixed_covt + {'loss': '3.149', 'grad_norm': '4.517', 'learning_rate': '2.858e-06', 'epoch': '0.2765'} + 85%|█████████████████████████▌ | 7686/9000 [6:40:17<1:04:32, 2.95s/it] {'lm_loss': '0.8395', 'visual_loss': '2.936', 'seg_loss': '0.6598', 'dino_loss': '0.8922', 'depth_loss': '0.2537', 'vggt_mse_loss': '0.2519', 'vggt_cos_loss': '0.01813', 'pidinet_loss': '0.2392', 'siglip_loss': '0.8914', 'epoch': '0.2765'} + 85%|█████████████████████████▌ | 7686/9000 [6:40:19<1:04:32, 2.95s/it][Dataset] cur_step=7687 phase=D_mixed_covt + 85%|█████████████████████████▌ | 7687/9000 [6:40:20<1:07:12, 3.07s/it][Dataset] cur_step=7687 phase=D_mixed_covt +[Dataset] cur_step=7687 phase=D_mixed_covt +[Dataset] cur_step=7687 phase=D_mixed_covt +[Dataset] cur_step=7687 phase=D_mixed_covt +[Dataset] cur_step=7687 phase=D_mixed_covt +[Dataset] cur_step=7687 phase=D_mixed_covt +[Dataset] cur_step=7687 phase=D_mixed_covt + {'loss': '3.17', 'grad_norm': '2.554', 'learning_rate': '2.853e-06', 'epoch': '0.2765'} + 85%|█████████████████████████▌ | 7687/9000 [6:40:20<1:07:12, 3.07s/it] {'lm_loss': '0.5839', 'visual_loss': '2.574', 'seg_loss': '0.7066', 'dino_loss': '0.9124', 'depth_loss': '0.2048', 'vggt_mse_loss': '0.2034', 'vggt_cos_loss': '0.01398', 'pidinet_loss': '0.2434', 'siglip_loss': '0.5065', 'epoch': '0.2765'} + 85%|█████████████████████████▌ | 7687/9000 [6:40:22<1:07:12, 3.07s/it][Dataset] cur_step=7688 phase=D_mixed_covt +[Dataset] cur_step=7688 phase=D_mixed_covt[Dataset] cur_step=7688 phase=D_mixed_covt +[Dataset] cur_step=7688 phase=D_mixed_covt + +[Dataset] cur_step=7688 phase=D_mixed_covt + 85%|█████████████████████████▋ | 7688/9000 [6:40:23<1:08:00, 3.11s/it][Dataset] cur_step=7688 phase=D_mixed_covt +[Dataset] cur_step=7688 phase=D_mixed_covt[Dataset] cur_step=7688 phase=D_mixed_covt + + {'loss': '3.174', 'grad_norm': '2.682', 'learning_rate': '2.849e-06', 'epoch': '0.2766'} + 85%|█████████████████████████▋ | 7688/9000 [6:40:23<1:08:00, 3.11s/it] {'lm_loss': '0.3566', 'visual_loss': '2.9', 'seg_loss': '0.8292', 'dino_loss': '0.9426', 'depth_loss': '0.2323', 'vggt_mse_loss': '0.2305', 'vggt_cos_loss': '0.01785', 'pidinet_loss': '0.2566', 'siglip_loss': '0.6394', 'epoch': '0.2766'} + 85%|█████████████████████████▋ | 7688/9000 [6:40:25<1:08:00, 3.11s/it][Dataset] cur_step=7689 phase=D_mixed_covt[Dataset] cur_step=7689 phase=D_mixed_covt + +[Dataset] cur_step=7689 phase=D_mixed_covt + 85%|█████████████████████████▋ | 7689/9000 [6:40:26<1:05:25, 2.99s/it][Dataset] cur_step=7689 phase=D_mixed_covt +[Dataset] cur_step=7689 phase=D_mixed_covt +[Dataset] cur_step=7689 phase=D_mixed_covt +[Dataset] cur_step=7689 phase=D_mixed_covt +[Dataset] cur_step=7689 phase=D_mixed_covt + {'loss': '2.983', 'grad_norm': '5.826', 'learning_rate': '2.845e-06', 'epoch': '0.2766'} + 85%|█████████████████████████▋ | 7689/9000 [6:40:26<1:05:25, 2.99s/it] {'lm_loss': '0.5058', 'visual_loss': '2.644', 'seg_loss': '0.6201', 'dino_loss': '0.923', 'depth_loss': '0.1409', 'vggt_mse_loss': '0.1403', 'vggt_cos_loss': '0.005728', 'pidinet_loss': '0.3521', 'siglip_loss': '0.6078', 'epoch': '0.2766'} + 85%|█████████████████████████▋ | 7689/9000 [6:40:28<1:05:25, 2.99s/it][Dataset] cur_step=7690 phase=D_mixed_covt + 85%|█████████████████████████▋ | 7690/9000 [6:40:29<1:04:02, 2.93s/it][Dataset] cur_step=7690 phase=D_mixed_covt +[Dataset] cur_step=7690 phase=D_mixed_covt +[Dataset] cur_step=7690 phase=D_mixed_covt +[Dataset] cur_step=7690 phase=D_mixed_covt +[Dataset] cur_step=7690 phase=D_mixed_covt +[Dataset] cur_step=7690 phase=D_mixed_covt +[Dataset] cur_step=7690 phase=D_mixed_covt + {'loss': '3.269', 'grad_norm': '3.341', 'learning_rate': '2.841e-06', 'epoch': '0.2766'} + 85%|█████████████████████████▋ | 7690/9000 [6:40:29<1:04:02, 2.93s/it] {'lm_loss': '0.5094', 'visual_loss': '2.831', 'seg_loss': '0.6923', 'dino_loss': '0.9012', 'depth_loss': '0.3426', 'vggt_mse_loss': '0.34', 'vggt_cos_loss': '0.02596', 'pidinet_loss': '0.2554', 'siglip_loss': '0.6392', 'epoch': '0.2766'} + 85%|█████████████████████████▋ | 7690/9000 [6:40:30<1:04:02, 2.93s/it][Dataset] cur_step=7691 phase=D_mixed_covt +[Dataset] cur_step=7691 phase=D_mixed_covt +[Dataset] cur_step=7691 phase=D_mixed_covt +[Dataset] cur_step=7691 phase=D_mixed_covt[Dataset] cur_step=7691 phase=D_mixed_covt + +[Dataset] cur_step=7691 phase=D_mixed_covt + 85%|███████████████████████████▎ | 7691/9000 [6:40:31<58:02, 2.66s/it][Dataset] cur_step=7691 phase=D_mixed_covt +[Dataset] cur_step=7691 phase=D_mixed_covt + {'loss': '3.306', 'grad_norm': '2.806', 'learning_rate': '2.836e-06', 'epoch': '0.2767'} + 85%|███████████████████████████▎ | 7691/9000 [6:40:31<58:02, 2.66s/it] {'lm_loss': '0.5322', 'visual_loss': '2.462', 'seg_loss': '0.6125', 'dino_loss': '0.9464', 'depth_loss': '0.2513', 'vggt_mse_loss': '0.2495', 'vggt_cos_loss': '0.0173', 'pidinet_loss': '0.2203', 'siglip_loss': '0.4318', 'epoch': '0.2767'} + 85%|███████████████████████████▎ | 7691/9000 [6:40:32<58:02, 2.66s/it][Dataset] cur_step=7692 phase=D_mixed_covt +[Dataset] cur_step=7692 phase=D_mixed_covt[Dataset] cur_step=7692 phase=D_mixed_covt + + 85%|███████████████████████████▎ | 7692/9000 [6:40:33<53:26, 2.45s/it][Dataset] cur_step=7692 phase=D_mixed_covt[Dataset] cur_step=7692 phase=D_mixed_covt + +[Dataset] cur_step=7692 phase=D_mixed_covt +[Dataset] cur_step=7692 phase=D_mixed_covt +[Dataset] cur_step=7692 phase=D_mixed_covt + {'loss': '3.136', 'grad_norm': '4.187', 'learning_rate': '2.832e-06', 'epoch': '0.2767'} + 85%|███████████████████████████▎ | 7692/9000 [6:40:33<53:26, 2.45s/it] {'lm_loss': '0.5416', 'visual_loss': '2.852', 'seg_loss': '0.8177', 'dino_loss': '0.8918', 'depth_loss': '0.178', 'vggt_mse_loss': '0.1767', 'vggt_cos_loss': '0.01279', 'pidinet_loss': '0.2103', 'siglip_loss': '0.7538', 'epoch': '0.2767'} + 85%|███████████████████████████▎ | 7692/9000 [6:40:34<53:26, 2.45s/it][Dataset] cur_step=7693 phase=D_mixed_covt[Dataset] cur_step=7693 phase=D_mixed_covt +[Dataset] cur_step=7693 phase=D_mixed_covt + +[Dataset] cur_step=7693 phase=D_mixed_covt + 85%|███████████████████████████▎ | 7693/9000 [6:40:34<49:16, 2.26s/it][Dataset] cur_step=7693 phase=D_mixed_covt +[Dataset] cur_step=7693 phase=D_mixed_covt +[Dataset] cur_step=7693 phase=D_mixed_covt +[Dataset] cur_step=7693 phase=D_mixed_covt + {'loss': '3.167', 'grad_norm': '2.964', 'learning_rate': '2.828e-06', 'epoch': '0.2768'} + 85%|███████████████████████████▎ | 7693/9000 [6:40:34<49:16, 2.26s/it] {'lm_loss': '0.813', 'visual_loss': '2.812', 'seg_loss': '0.8276', 'dino_loss': '0.9215', 'depth_loss': '0.2435', 'vggt_mse_loss': '0.2421', 'vggt_cos_loss': '0.01351', 'pidinet_loss': '0.1717', 'siglip_loss': '0.6481', 'epoch': '0.2768'} + 85%|███████████████████████████▎ | 7693/9000 [6:40:36<49:16, 2.26s/it][Dataset] cur_step=7694 phase=D_mixed_covt[Dataset] cur_step=7694 phase=D_mixed_covt[Dataset] cur_step=7694 phase=D_mixed_covt + + +[Dataset] cur_step=7694 phase=D_mixed_covt + 85%|███████████████████████████▎ | 7694/9000 [6:40:37<50:07, 2.30s/it][Dataset] cur_step=7694 phase=D_mixed_covt +[Dataset] cur_step=7694 phase=D_mixed_covt +[Dataset] cur_step=7694 phase=D_mixed_covt +[Dataset] cur_step=7694 phase=D_mixed_covt + {'loss': '3.118', 'grad_norm': '8.377', 'learning_rate': '2.824e-06', 'epoch': '0.2768'} + 85%|███████████████████████████▎ | 7694/9000 [6:40:37<50:07, 2.30s/it] {'lm_loss': '0.2524', 'visual_loss': '2.671', 'seg_loss': '0.8149', 'dino_loss': '0.8715', 'depth_loss': '0.1496', 'vggt_mse_loss': '0.1485', 'vggt_cos_loss': '0.01136', 'pidinet_loss': '0.2646', 'siglip_loss': '0.5702', 'epoch': '0.2768'} + 85%|███████████████████████████▎ | 7694/9000 [6:40:38<50:07, 2.30s/it][Dataset] cur_step=7695 phase=D_mixed_covt +[Dataset] cur_step=7695 phase=D_mixed_covt +[Dataset] cur_step=7695 phase=D_mixed_covt +[Dataset] cur_step=7695 phase=D_mixed_covt +[Dataset] cur_step=7695 phase=D_mixed_covt[Dataset] cur_step=7695 phase=D_mixed_covt +[Dataset] cur_step=7695 phase=D_mixed_covt + + 86%|███████████████████████████▎ | 7695/9000 [6:40:39<51:40, 2.38s/it][Dataset] cur_step=7695 phase=D_mixed_covt + {'loss': '3.166', 'grad_norm': '2.793', 'learning_rate': '2.819e-06', 'epoch': '0.2768'} + 86%|███████████████████████████▎ | 7695/9000 [6:40:39<51:40, 2.38s/it] {'lm_loss': '0.0897', 'visual_loss': '2.573', 'seg_loss': '0.6836', 'dino_loss': '0.84', 'depth_loss': '0.2058', 'vggt_mse_loss': '0.2045', 'vggt_cos_loss': '0.0127', 'pidinet_loss': '0.2845', 'siglip_loss': '0.5595', 'epoch': '0.2768'} + 86%|███████████████████████████▎ | 7695/9000 [6:40:42<51:40, 2.38s/it][Dataset] cur_step=7696 phase=D_mixed_covt +[Dataset] cur_step=7696 phase=D_mixed_covt[Dataset] cur_step=7696 phase=D_mixed_covt + + 86%|███████████████████████████▎ | 7696/9000 [6:40:43<57:04, 2.63s/it][Dataset] cur_step=7696 phase=D_mixed_covt +[Dataset] cur_step=7696 phase=D_mixed_covt +[Dataset] cur_step=7696 phase=D_mixed_covt +[Dataset] cur_step=7696 phase=D_mixed_covt +[Dataset] cur_step=7696 phase=D_mixed_covt + {'loss': '3.231', 'grad_norm': '3.012', 'learning_rate': '2.815e-06', 'epoch': '0.2769'} + 86%|███████████████████████████▎ | 7696/9000 [6:40:43<57:04, 2.63s/it] {'lm_loss': '0.7645', 'visual_loss': '2.819', 'seg_loss': '0.8926', 'dino_loss': '0.9271', 'depth_loss': '0.201', 'vggt_mse_loss': '0.1998', 'vggt_cos_loss': '0.01177', 'pidinet_loss': '0.2154', 'siglip_loss': '0.5834', 'epoch': '0.2769'} + 86%|███████████████████████████▎ | 7696/9000 [6:40:44<57:04, 2.63s/it][Dataset] cur_step=7697 phase=D_mixed_covt +[Dataset] cur_step=7697 phase=D_mixed_covt[Dataset] cur_step=7697 phase=D_mixed_covt[Dataset] cur_step=7697 phase=D_mixed_covt + + +[Dataset] cur_step=7697 phase=D_mixed_covt + 86%|███████████████████████████▎ | 7697/9000 [6:40:45<56:02, 2.58s/it][Dataset] cur_step=7697 phase=D_mixed_covt +[Dataset] cur_step=7697 phase=D_mixed_covt +[Dataset] cur_step=7697 phase=D_mixed_covt + {'loss': '3.49', 'grad_norm': '2.607', 'learning_rate': '2.811e-06', 'epoch': '0.2769'} + 86%|███████████████████████████▎ | 7697/9000 [6:40:45<56:02, 2.58s/it] {'lm_loss': '0.6977', 'visual_loss': '2.617', 'seg_loss': '0.704', 'dino_loss': '0.9336', 'depth_loss': '0.2482', 'vggt_mse_loss': '0.2468', 'vggt_cos_loss': '0.01492', 'pidinet_loss': '0.1794', 'siglip_loss': '0.552', 'epoch': '0.2769'} + 86%|███████████████████████████▎ | 7697/9000 [6:40:46<56:02, 2.58s/it][Dataset] cur_step=7698 phase=D_mixed_covt +[Dataset] cur_step=7698 phase=D_mixed_covt[Dataset] cur_step=7698 phase=D_mixed_covt 86%|███████████████████████████▎ | 7698/9000 [6:40:47<51:46, 2.39s/it] +[Dataset] cur_step=7698 phase=D_mixed_covt + +[Dataset] cur_step=7698 phase=D_mixed_covt +[Dataset] cur_step=7698 phase=D_mixed_covt[Dataset] cur_step=7698 phase=D_mixed_covt + +[Dataset] cur_step=7698 phase=D_mixed_covt + {'loss': '3.236', 'grad_norm': '3.68', 'learning_rate': '2.807e-06', 'epoch': '0.2769'} + 86%|███████████████████████████▎ | 7698/9000 [6:40:47<51:46, 2.39s/it] {'lm_loss': '0.1052', 'visual_loss': '2.506', 'seg_loss': '0.6462', 'dino_loss': '0.9045', 'depth_loss': '0.1991', 'vggt_mse_loss': '0.1977', 'vggt_cos_loss': '0.01354', 'pidinet_loss': '0.2495', 'siglip_loss': '0.5069', 'epoch': '0.2769'} + 86%|███████████████████████████▎ | 7698/9000 [6:40:49<51:46, 2.39s/it][Dataset] cur_step=7699 phase=D_mixed_covt[Dataset] cur_step=7699 phase=D_mixed_covt + + 86%|███████████████████████████▎ | 7699/9000 [6:40:50<53:07, 2.45s/it][Dataset] cur_step=7699 phase=D_mixed_covt +[Dataset] cur_step=7699 phase=D_mixed_covt[Dataset] cur_step=7699 phase=D_mixed_covt + +[Dataset] cur_step=7699 phase=D_mixed_covt +[Dataset] cur_step=7699 phase=D_mixed_covt +[Dataset] cur_step=7699 phase=D_mixed_covt + {'loss': '3.236', 'grad_norm': '2.793', 'learning_rate': '2.803e-06', 'epoch': '0.277'} + 86%|███████████████████████████▎ | 7699/9000 [6:40:50<53:07, 2.45s/it] {'lm_loss': '0.9426', 'visual_loss': '2.672', 'seg_loss': '0.823', 'dino_loss': '0.9283', 'depth_loss': '0.3254', 'vggt_mse_loss': '0.323', 'vggt_cos_loss': '0.02366', 'pidinet_loss': '0.2541', 'siglip_loss': '0.3414', 'epoch': '0.277'} + 86%|███████████████████████████▎ | 7699/9000 [6:40:51<53:07, 2.45s/it][Dataset] cur_step=7700 phase=D_mixed_covt +[Dataset] cur_step=7700 phase=D_mixed_covt +[Dataset] cur_step=7700 phase=D_mixed_covt + 86%|███████████████████████████▍ | 7700/9000 [6:40:51<49:34, 2.29s/it][Dataset] cur_step=7700 phase=D_mixed_covt +[Dataset] cur_step=7700 phase=D_mixed_covt +[Dataset] cur_step=7700 phase=D_mixed_covt +[Dataset] cur_step=7700 phase=D_mixed_covt +[Dataset] cur_step=7700 phase=D_mixed_covt + {'loss': '3.449', 'grad_norm': '3.35', 'learning_rate': '2.798e-06', 'epoch': '0.277'} + 86%|███████████████████████████▍ | 7700/9000 [6:40:51<49:34, 2.29s/it] {'lm_loss': '0.6874', 'visual_loss': '2.594', 'seg_loss': '0.6703', 'dino_loss': '0.9353', 'depth_loss': '0.1723', 'vggt_mse_loss': '0.1711', 'vggt_cos_loss': '0.01221', 'pidinet_loss': '0.1824', 'siglip_loss': '0.6338', 'epoch': '0.277'} + 86%|███████████████████████████▍ | 7700/9000 [6:40:53<49:34, 2.29s/it][Dataset] cur_step=7701 phase=D_mixed_covt +[Dataset] cur_step=7701 phase=D_mixed_covt + 86%|███████████████████████████▍ | 7701/9000 [6:40:53<47:24, 2.19s/it][Dataset] cur_step=7701 phase=D_mixed_covt +[Dataset] cur_step=7701 phase=D_mixed_covt[Dataset] cur_step=7701 phase=D_mixed_covt + +[Dataset] cur_step=7701 phase=D_mixed_covt +[Dataset] cur_step=7701 phase=D_mixed_covt +[Dataset] cur_step=7701 phase=D_mixed_covt + {'loss': '3.242', 'grad_norm': '9.098', 'learning_rate': '2.794e-06', 'epoch': '0.277'} + 86%|███████████████████████████▍ | 7701/9000 [6:40:53<47:24, 2.19s/it] {'lm_loss': '0.0827', 'visual_loss': '2.228', 'seg_loss': '0.108', 'dino_loss': '0.9276', 'depth_loss': '0.2971', 'vggt_mse_loss': '0.2948', 'vggt_cos_loss': '0.02299', 'pidinet_loss': '0.2644', 'siglip_loss': '0.6314', 'epoch': '0.277'} + 86%|███████████████████████████▍ | 7701/9000 [6:40:55<47:24, 2.19s/it][Dataset] cur_step=7702 phase=D_mixed_covt +[Dataset] cur_step=7702 phase=D_mixed_covt +[Dataset] cur_step=7702 phase=D_mixed_covt[Dataset] cur_step=7702 phase=D_mixed_covt + +[Dataset] cur_step=7702 phase=D_mixed_covt +[Dataset] cur_step=7702 phase=D_mixed_covt +[Dataset] cur_step=7702 phase=D_mixed_covt[Dataset] cur_step=7702 phase=D_mixed_covt + + 86%|███████████████████████████▍ | 7702/9000 [6:40:55<46:18, 2.14s/it] {'loss': '3.064', 'grad_norm': '2.409', 'learning_rate': '2.79e-06', 'epoch': '0.2771'} + 86%|███████████████████████████▍ | 7702/9000 [6:40:55<46:18, 2.14s/it] {'lm_loss': '0.458', 'visual_loss': '2.683', 'seg_loss': '0.6582', 'dino_loss': '0.9455', 'depth_loss': '0.1421', 'vggt_mse_loss': '0.1412', 'vggt_cos_loss': '0.008922', 'pidinet_loss': '0.2278', 'siglip_loss': '0.7092', 'epoch': '0.2771'} + 86%|███████████████████████████▍ | 7702/9000 [6:40:58<46:18, 2.14s/it][Dataset] cur_step=7703 phase=D_mixed_covt +[Dataset] cur_step=7703 phase=D_mixed_covt +[Dataset] cur_step=7703 phase=D_mixed_covt[Dataset] cur_step=7703 phase=D_mixed_covt + +[Dataset] cur_step=7703 phase=D_mixed_covt +[Dataset] cur_step=7703 phase=D_mixed_covt + 86%|███████████████████████████▍ | 7703/9000 [6:40:59<54:37, 2.53s/it][Dataset] cur_step=7703 phase=D_mixed_covt +[Dataset] cur_step=7703 phase=D_mixed_covt + {'loss': '3.416', 'grad_norm': '3.513', 'learning_rate': '2.786e-06', 'epoch': '0.2771'} + 86%|███████████████████████████▍ | 7703/9000 [6:40:59<54:37, 2.53s/it] {'lm_loss': '0.8937', 'visual_loss': '2.583', 'seg_loss': '0.8534', 'dino_loss': '0.9338', 'depth_loss': '0.2745', 'vggt_mse_loss': '0.2723', 'vggt_cos_loss': '0.02205', 'pidinet_loss': '0.1599', 'siglip_loss': '0.3616', 'epoch': '0.2771'} + 86%|███████████████████████████▍ | 7703/9000 [6:41:00<54:37, 2.53s/it][Dataset] cur_step=7704 phase=D_mixed_covt +[Dataset] cur_step=7704 phase=D_mixed_covt +[Dataset] cur_step=7704 phase=D_mixed_covt +[Dataset] cur_step=7704 phase=D_mixed_covt + 86%|███████████████████████████▍ | 7704/9000 [6:41:01<52:38, 2.44s/it][Dataset] cur_step=7704 phase=D_mixed_covt +[Dataset] cur_step=7704 phase=D_mixed_covt +[Dataset] cur_step=7704 phase=D_mixed_covt +[Dataset] cur_step=7704 phase=D_mixed_covt + {'loss': '3.422', 'grad_norm': '3.821', 'learning_rate': '2.781e-06', 'epoch': '0.2772'} + 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'visual_loss': '2.154', 'seg_loss': '0.6298', 'dino_loss': '0.9114', 'depth_loss': '0.1447', 'vggt_mse_loss': '0.1441', 'vggt_cos_loss': '0.005351', 'pidinet_loss': '0.1814', 'siglip_loss': '0.2863', 'epoch': '0.2772'} + 86%|███████████████████████████▍ | 7705/9000 [6:41:06<49:36, 2.30s/it][Dataset] cur_step=7706 phase=D_mixed_covt[Dataset] cur_step=7706 phase=D_mixed_covt + +[Dataset] cur_step=7706 phase=D_mixed_covt +[Dataset] cur_step=7706 phase=D_mixed_covt +[Dataset] cur_step=7706 phase=D_mixed_covt[Dataset] cur_step=7706 phase=D_mixed_covt + +[Dataset] cur_step=7706 phase=D_mixed_covt +[Dataset] cur_step=7706 phase=D_mixed_covt + 86%|███████████████████████████▍ | 7706/9000 [6:41:06<53:26, 2.48s/it] {'loss': '3.324', 'grad_norm': '8.563', 'learning_rate': '2.773e-06', 'epoch': '0.2772'} + 86%|███████████████████████████▍ | 7706/9000 [6:41:06<53:26, 2.48s/it] {'lm_loss': '0.507', 'visual_loss': '2.374', 'seg_loss': '0.671', 'dino_loss': '0.9227', 'depth_loss': '0.2236', 'vggt_mse_loss': '0.2217', 'vggt_cos_loss': '0.01909', 'pidinet_loss': '0.2186', 'siglip_loss': '0.3384', 'epoch': '0.2772'} + 86%|███████████████████████████▍ | 7706/9000 [6:41:08<53:26, 2.48s/it][Dataset] cur_step=7707 phase=D_mixed_covt +[Dataset] cur_step=7707 phase=D_mixed_covt +[Dataset] cur_step=7707 phase=D_mixed_covt[Dataset] cur_step=7707 phase=D_mixed_covt + +[Dataset] cur_step=7707 phase=D_mixed_covt +[Dataset] cur_step=7707 phase=D_mixed_covt[Dataset] cur_step=7707 phase=D_mixed_covt + +[Dataset] cur_step=7707 phase=D_mixed_covt + 86%|███████████████████████████▍ | 7707/9000 [6:41:09<54:01, 2.51s/it] {'loss': '3.246', 'grad_norm': '2.618', 'learning_rate': '2.769e-06', 'epoch': '0.2773'} + 86%|███████████████████████████▍ | 7707/9000 [6:41:09<54:01, 2.51s/it] {'lm_loss': '0.1564', 'visual_loss': '2.919', 'seg_loss': '0.9881', 'dino_loss': '0.8445', 'depth_loss': '0.2309', 'vggt_mse_loss': '0.2291', 'vggt_cos_loss': '0.0176', 'pidinet_loss': '0.2352', 'siglip_loss': '0.6198', 'epoch': '0.2773'} + 86%|███████████████████████████▍ | 7707/9000 [6:41:10<54:01, 2.51s/it][Dataset] cur_step=7708 phase=D_mixed_covt +[Dataset] cur_step=7708 phase=D_mixed_covt[Dataset] cur_step=7708 phase=D_mixed_covt + +[Dataset] cur_step=7708 phase=D_mixed_covt +[Dataset] cur_step=7708 phase=D_mixed_covt +[Dataset] cur_step=7708 phase=D_mixed_covt +[Dataset] cur_step=7708 phase=D_mixed_covt + 86%|███████████████████████████▍ | 7708/9000 [6:41:11<51:27, 2.39s/it][Dataset] cur_step=7708 phase=D_mixed_covt + {'loss': '3.467', 'grad_norm': '10.89', 'learning_rate': '2.765e-06', 'epoch': '0.2773'} + 86%|███████████████████████████▍ | 7708/9000 [6:41:11<51:27, 2.39s/it] {'lm_loss': '0.7642', 'visual_loss': '3.053', 'seg_loss': '0.8407', 'dino_loss': '1.002', 'depth_loss': '0.2171', 'vggt_mse_loss': '0.2159', 'vggt_cos_loss': '0.01134', 'pidinet_loss': '0.1412', 'siglip_loss': '0.8517', 'epoch': '0.2773'} + 86%|███████████████████████████▍ | 7708/9000 [6:41:13<51:27, 2.39s/it][Dataset] cur_step=7709 phase=D_mixed_covt +[Dataset] cur_step=7709 phase=D_mixed_covt[Dataset] cur_step=7709 phase=D_mixed_covt + +[Dataset] cur_step=7709 phase=D_mixed_covt +[Dataset] cur_step=7709 phase=D_mixed_covt +[Dataset] cur_step=7709 phase=D_mixed_covt +[Dataset] cur_step=7709 phase=D_mixed_covt + 86%|███████████████████████████▍ | 7709/9000 [6:41:13<52:15, 2.43s/it][Dataset] cur_step=7709 phase=D_mixed_covt + {'loss': '3.183', 'grad_norm': '3.624', 'learning_rate': '2.76e-06', 'epoch': '0.2773'} + 86%|███████████████████████████▍ | 7709/9000 [6:41:13<52:15, 2.43s/it] {'lm_loss': '0.6964', 'visual_loss': '2.926', 'seg_loss': '0.9234', 'dino_loss': '0.8856', 'depth_loss': '0.1693', 'vggt_mse_loss': '0.1682', 'vggt_cos_loss': '0.01098', 'pidinet_loss': '0.1838', 'siglip_loss': '0.7641', 'epoch': '0.2773'} + 86%|███████████████████████████▍ | 7709/9000 [6:41:14<52:15, 2.43s/it][Dataset] cur_step=7710 phase=D_mixed_covt +[Dataset] cur_step=7710 phase=D_mixed_covt +[Dataset] cur_step=7710 phase=D_mixed_covt +[Dataset] cur_step=7710 phase=D_mixed_covt +[Dataset] cur_step=7710 phase=D_mixed_covt +[Dataset] cur_step=7710 phase=D_mixed_covt +[Dataset] cur_step=7710 phase=D_mixed_covt +[Dataset] cur_step=7710 phase=D_mixed_covt + 86%|███████████████████████████▍ | 7710/9000 [6:41:15<48:17, 2.25s/it] {'loss': '3.465', 'grad_norm': '3.677', 'learning_rate': '2.756e-06', 'epoch': '0.2774'} + 86%|███████████████████████████▍ | 7710/9000 [6:41:15<48:17, 2.25s/it] {'lm_loss': '0.695', 'visual_loss': '2.799', 'seg_loss': '0.639', 'dino_loss': '0.8628', 'depth_loss': '0.1591', 'vggt_mse_loss': '0.1578', 'vggt_cos_loss': '0.01289', 'pidinet_loss': '0.3849', 'siglip_loss': '0.7528', 'epoch': '0.2774'} + 86%|███████████████████████████▍ | 7710/9000 [6:41:17<48:17, 2.25s/it][Dataset] cur_step=7711 phase=D_mixed_covt +[Dataset] cur_step=7711 phase=D_mixed_covt +[Dataset] cur_step=7711 phase=D_mixed_covt +[Dataset] cur_step=7711 phase=D_mixed_covt +[Dataset] cur_step=7711 phase=D_mixed_covt + 86%|███████████████████████████▍ | 7711/9000 [6:41:18<51:06, 2.38s/it][Dataset] cur_step=7711 phase=D_mixed_covt +[Dataset] cur_step=7711 phase=D_mixed_covt +[Dataset] cur_step=7711 phase=D_mixed_covt + {'loss': '3.139', 'grad_norm': '3.586', 'learning_rate': '2.752e-06', 'epoch': '0.2774'} + 86%|███████████████████████████▍ | 7711/9000 [6:41:18<51:06, 2.38s/it] {'lm_loss': '0.1556', 'visual_loss': '2.854', 'seg_loss': '0.9002', 'dino_loss': '0.9633', 'depth_loss': '0.1655', 'vggt_mse_loss': '0.1642', 'vggt_cos_loss': '0.01254', 'pidinet_loss': '0.3276', 'siglip_loss': '0.4974', 'epoch': '0.2774'} + 86%|███████████████████████████▍ | 7711/9000 [6:41:20<51:06, 2.38s/it][Dataset] cur_step=7712 phase=D_mixed_covt +[Dataset] cur_step=7712 phase=D_mixed_covt[Dataset] cur_step=7712 phase=D_mixed_covt + +[Dataset] cur_step=7712 phase=D_mixed_covt + 86%|███████████████████████████▍ | 7712/9000 [6:41:20<52:26, 2.44s/it][Dataset] cur_step=7712 phase=D_mixed_covt +[Dataset] cur_step=7712 phase=D_mixed_covt[Dataset] cur_step=7712 phase=D_mixed_covt + +[Dataset] cur_step=7712 phase=D_mixed_covt + {'loss': '3.1', 'grad_norm': '8.381', 'learning_rate': '2.748e-06', 'epoch': '0.2774'} + 86%|███████████████████████████▍ | 7712/9000 [6:41:20<52:26, 2.44s/it] {'lm_loss': '0.3691', 'visual_loss': '2.896', 'seg_loss': '0.8754', 'dino_loss': '0.9363', 'depth_loss': '0.1989', 'vggt_mse_loss': '0.1972', 'vggt_cos_loss': '0.01631', 'pidinet_loss': '0.2326', 'siglip_loss': '0.6524', 'epoch': '0.2774'} + 86%|███████████████████████████▍ | 7712/9000 [6:41:22<52:26, 2.44s/it][Dataset] cur_step=7713 phase=D_mixed_covt +[Dataset] cur_step=7713 phase=D_mixed_covt + 86%|███████████████████████████▍ | 7713/9000 [6:41:23<53:01, 2.47s/it][Dataset] cur_step=7713 phase=D_mixed_covt +[Dataset] cur_step=7713 phase=D_mixed_covt +[Dataset] cur_step=7713 phase=D_mixed_covt +[Dataset] cur_step=7713 phase=D_mixed_covt +[Dataset] cur_step=7713 phase=D_mixed_covt +[Dataset] cur_step=7713 phase=D_mixed_covt + {'loss': '3.297', 'grad_norm': '3.423', 'learning_rate': '2.744e-06', 'epoch': '0.2775'} + 86%|███████████████████████████▍ | 7713/9000 [6:41:23<53:01, 2.47s/it] {'lm_loss': '0.3368', 'visual_loss': '1.561', 'seg_loss': '0', 'dino_loss': '0.8537', 'depth_loss': '0.2552', 'vggt_mse_loss': '0.2542', 'vggt_cos_loss': '0.01004', 'pidinet_loss': '0.294', 'siglip_loss': '0.1581', 'epoch': '0.2775'} + 86%|███████████████████████████▍ | 7713/9000 [6:41:24<53:01, 2.47s/it][Dataset] cur_step=7714 phase=D_mixed_covt[Dataset] cur_step=7714 phase=D_mixed_covt + + 86%|███████████████████████████▍ | 7714/9000 [6:41:24<44:03, 2.06s/it][Dataset] cur_step=7714 phase=D_mixed_covt +[Dataset] cur_step=7714 phase=D_mixed_covt +[Dataset] cur_step=7714 phase=D_mixed_covt +[Dataset] cur_step=7714 phase=D_mixed_covt +[Dataset] cur_step=7714 phase=D_mixed_covt +[Dataset] cur_step=7714 phase=D_mixed_covt + {'loss': '2.767', 'grad_norm': '3.462', 'learning_rate': '2.739e-06', 'epoch': '0.2775'} + 86%|███████████████████████████▍ | 7714/9000 [6:41:24<44:03, 2.06s/it] {'lm_loss': '0.9619', 'visual_loss': '2.15', 'seg_loss': '0.9751', 'dino_loss': '0', 'depth_loss': '0.5818', 'vggt_mse_loss': '0.5766', 'vggt_cos_loss': '0.05254', 'pidinet_loss': '0.1726', 'siglip_loss': '0.4209', 'epoch': '0.2775'} + 86%|███████████████████████████▍ | 7714/9000 [6:41:25<44:03, 2.06s/it][Dataset] cur_step=7715 phase=D_mixed_covt +[Dataset] cur_step=7715 phase=D_mixed_covt +[Dataset] cur_step=7715 phase=D_mixed_covt + 86%|███████████████████████████▍ | 7715/9000 [6:41:26<43:34, 2.03s/it][Dataset] cur_step=7715 phase=D_mixed_covt +[Dataset] cur_step=7715 phase=D_mixed_covt +[Dataset] cur_step=7715 phase=D_mixed_covt +[Dataset] cur_step=7715 phase=D_mixed_covt +[Dataset] cur_step=7715 phase=D_mixed_covt + {'loss': '2.712', 'grad_norm': '3.399', 'learning_rate': '2.735e-06', 'epoch': '0.2775'} + 86%|███████████████████████████▍ | 7715/9000 [6:41:26<43:34, 2.03s/it] {'lm_loss': '0.4123', 'visual_loss': '2.659', 'seg_loss': '0.6851', 'dino_loss': '0.9235', 'depth_loss': '0.2303', 'vggt_mse_loss': '0.2286', 'vggt_cos_loss': '0.01648', 'pidinet_loss': '0.2125', 'siglip_loss': '0.6076', 'epoch': '0.2775'} + 86%|███████████████████████████▍ | 7715/9000 [6:41:29<43:34, 2.03s/it][Dataset] cur_step=7716 phase=D_mixed_covt[Dataset] cur_step=7716 phase=D_mixed_covt + +[Dataset] cur_step=7716 phase=D_mixed_covt + 86%|███████████████████████████▍ | 7716/9000 [6:41:29<51:21, 2.40s/it][Dataset] cur_step=7716 phase=D_mixed_covt +[Dataset] cur_step=7716 phase=D_mixed_covt +[Dataset] cur_step=7716 phase=D_mixed_covt +[Dataset] cur_step=7716 phase=D_mixed_covt +[Dataset] cur_step=7716 phase=D_mixed_covt + {'loss': '3.473', 'grad_norm': '2.715', 'learning_rate': '2.731e-06', 'epoch': '0.2776'} + 86%|███████████████████████████▍ | 7716/9000 [6:41:29<51:21, 2.40s/it] {'lm_loss': '0.5147', 'visual_loss': '2.467', 'seg_loss': '0.5782', 'dino_loss': '0.9132', 'depth_loss': '0.2573', 'vggt_mse_loss': '0.2554', 'vggt_cos_loss': '0.01877', 'pidinet_loss': '0.2118', 'siglip_loss': '0.506', 'epoch': '0.2776'} + 86%|███████████████████████████▍ | 7716/9000 [6:41:31<51:21, 2.40s/it][Dataset] cur_step=7717 phase=D_mixed_covt + 86%|███████████████████████████▍ | 7717/9000 [6:41:32<52:27, 2.45s/it][Dataset] cur_step=7717 phase=D_mixed_covt +[Dataset] cur_step=7717 phase=D_mixed_covt +[Dataset] cur_step=7717 phase=D_mixed_covt +[Dataset] cur_step=7717 phase=D_mixed_covt +[Dataset] cur_step=7717 phase=D_mixed_covt +[Dataset] cur_step=7717 phase=D_mixed_covt +[Dataset] cur_step=7717 phase=D_mixed_covt + {'loss': '3.416', 'grad_norm': '3.953', 'learning_rate': '2.727e-06', 'epoch': '0.2776'} + 86%|███████████████████████████▍ | 7717/9000 [6:41:32<52:27, 2.45s/it] {'lm_loss': '0.4818', 'visual_loss': '2.824', 'seg_loss': '0.6684', 'dino_loss': '0.8782', 'depth_loss': '0.1841', 'vggt_mse_loss': '0.1826', 'vggt_cos_loss': '0.01509', 'pidinet_loss': '0.2714', 'siglip_loss': '0.8221', 'epoch': '0.2776'} + 86%|███████████████████████████▍ | 7717/9000 [6:41:34<52:27, 2.45s/it][Dataset] cur_step=7718 phase=D_mixed_covt +[Dataset] cur_step=7718 phase=D_mixed_covt +[Dataset] cur_step=7718 phase=D_mixed_covt[Dataset] cur_step=7718 phase=D_mixed_covt + +[Dataset] cur_step=7718 phase=D_mixed_covt + 86%|███████████████████████████▍ | 7718/9000 [6:41:35<58:58, 2.76s/it][Dataset] cur_step=7718 phase=D_mixed_covt +[Dataset] cur_step=7718 phase=D_mixed_covt +[Dataset] cur_step=7718 phase=D_mixed_covt + {'loss': '3.089', 'grad_norm': '2.493', 'learning_rate': '2.723e-06', 'epoch': '0.2777'} + 86%|███████████████████████████▍ | 7718/9000 [6:41:35<58:58, 2.76s/it] {'lm_loss': '1.035', 'visual_loss': '1.587', 'seg_loss': '0', 'dino_loss': '0.8424', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2954', 'siglip_loss': '0.4491', 'epoch': '0.2777'} + 86%|███████████████████████████▍ | 7718/9000 [6:41:36<58:58, 2.76s/it][Dataset] cur_step=7719 phase=D_mixed_covt +[Dataset] cur_step=7719 phase=D_mixed_covt[Dataset] cur_step=7719 phase=D_mixed_covt + 86%|███████████████████████████▍ | 7719/9000 [6:41:36<47:11, 2.21s/it] +[Dataset] cur_step=7719 phase=D_mixed_covt +[Dataset] cur_step=7719 phase=D_mixed_covt +[Dataset] cur_step=7719 phase=D_mixed_covt +[Dataset] cur_step=7719 phase=D_mixed_covt +[Dataset] cur_step=7719 phase=D_mixed_covt + {'loss': '2.679', 'grad_norm': '2.151', 'learning_rate': '2.719e-06', 'epoch': '0.2777'} + 86%|███████████████████████████▍ | 7719/9000 [6:41:36<47:11, 2.21s/it] {'lm_loss': '0.9724', 'visual_loss': '2.386', 'seg_loss': '0.4635', 'dino_loss': '0.8675', 'depth_loss': '0.1585', 'vggt_mse_loss': '0.1574', 'vggt_cos_loss': '0.01109', 'pidinet_loss': '0.3448', 'siglip_loss': '0.5515', 'epoch': '0.2777'} + 86%|███████████████████████████▍ | 7719/9000 [6:41:39<47:11, 2.21s/it][Dataset] cur_step=7720 phase=D_mixed_covt +[Dataset] cur_step=7720 phase=D_mixed_covt 86%|███████████████████████████▍ | 7720/9000 [6:41:40<55:36, 2.61s/it] +[Dataset] cur_step=7720 phase=D_mixed_covt +[Dataset] cur_step=7720 phase=D_mixed_covt[Dataset] cur_step=7720 phase=D_mixed_covt + +[Dataset] cur_step=7720 phase=D_mixed_covt +[Dataset] cur_step=7720 phase=D_mixed_covt +[Dataset] cur_step=7720 phase=D_mixed_covt + {'loss': '3.044', 'grad_norm': '2.291', 'learning_rate': '2.714e-06', 'epoch': '0.2777'} + 86%|███████████████████████████▍ | 7720/9000 [6:41:40<55:36, 2.61s/it] {'lm_loss': '0.9946', 'visual_loss': '2.518', 'seg_loss': '0.7369', 'dino_loss': '0.918', 'depth_loss': '0.2182', 'vggt_mse_loss': '0.2166', 'vggt_cos_loss': '0.01614', 'pidinet_loss': '0.2516', 'siglip_loss': '0.3938', 'epoch': '0.2777'} + 86%|███████████████████████████▍ | 7720/9000 [6:41:42<55:36, 2.61s/it][Dataset] cur_step=7721 phase=D_mixed_covt[Dataset] cur_step=7721 phase=D_mixed_covt[Dataset] cur_step=7721 phase=D_mixed_covt + + + 86%|███████████████████████████▍ | 7721/9000 [6:41:43<59:16, 2.78s/it][Dataset] cur_step=7721 phase=D_mixed_covt +[Dataset] cur_step=7721 phase=D_mixed_covt +[Dataset] cur_step=7721 phase=D_mixed_covt +[Dataset] cur_step=7721 phase=D_mixed_covt +[Dataset] cur_step=7721 phase=D_mixed_covt + {'loss': '3.362', 'grad_norm': '2.682', 'learning_rate': '2.71e-06', 'epoch': '0.2778'} + 86%|███████████████████████████▍ | 7721/9000 [6:41:43<59:16, 2.78s/it] {'lm_loss': '0.3647', 'visual_loss': '2.786', 'seg_loss': '0.6946', 'dino_loss': '0.9169', 'depth_loss': '0.2515', 'vggt_mse_loss': '0.2496', 'vggt_cos_loss': '0.01906', 'pidinet_loss': '0.2854', 'siglip_loss': '0.6374', 'epoch': '0.2778'} + 86%|███████████████████████████▍ | 7721/9000 [6:41:46<59:16, 2.78s/it][Dataset] cur_step=7722 phase=D_mixed_covt + 86%|█████████████████████████▋ | 7722/9000 [6:41:46<1:01:02, 2.87s/it][Dataset] cur_step=7722 phase=D_mixed_covt +[Dataset] cur_step=7722 phase=D_mixed_covt +[Dataset] cur_step=7722 phase=D_mixed_covt +[Dataset] cur_step=7722 phase=D_mixed_covt +[Dataset] cur_step=7722 phase=D_mixed_covt +[Dataset] cur_step=7722 phase=D_mixed_covt +[Dataset] cur_step=7722 phase=D_mixed_covt + {'loss': '3.341', 'grad_norm': '7.116', 'learning_rate': '2.706e-06', 'epoch': '0.2778'} + 86%|█████████████████████████▋ | 7722/9000 [6:41:46<1:01:02, 2.87s/it] {'lm_loss': '0.3418', 'visual_loss': '2.619', 'seg_loss': '0.7074', 'dino_loss': '0.8865', 'depth_loss': '0.2775', 'vggt_mse_loss': '0.2752', 'vggt_cos_loss': '0.02311', 'pidinet_loss': '0.2816', 'siglip_loss': '0.4659', 'epoch': '0.2778'} + 86%|█████████████████████████▋ | 7722/9000 [6:41:48<1:01:02, 2.87s/it][Dataset] cur_step=7723 phase=D_mixed_covt[Dataset] cur_step=7723 phase=D_mixed_covt + +[Dataset] cur_step=7723 phase=D_mixed_covt +[Dataset] cur_step=7723 phase=D_mixed_covt +[Dataset] cur_step=7723 phase=D_mixed_covt[Dataset] cur_step=7723 phase=D_mixed_covt + + 86%|█████████████████████████▋ | 7723/9000 [6:41:49<1:02:06, 2.92s/it][Dataset] cur_step=7723 phase=D_mixed_covt +[Dataset] cur_step=7723 phase=D_mixed_covt + {'loss': '3.254', 'grad_norm': '3.779', 'learning_rate': '2.702e-06', 'epoch': '0.2778'} + 86%|█████████████████████████▋ | 7723/9000 [6:41:49<1:02:06, 2.92s/it] {'lm_loss': '0.0758', 'visual_loss': '2.397', 'seg_loss': '0.5884', 'dino_loss': '0.907', 'depth_loss': '0.2595', 'vggt_mse_loss': '0.2576', 'vggt_cos_loss': '0.01836', 'pidinet_loss': '0.1812', 'siglip_loss': '0.4605', 'epoch': '0.2778'} + 86%|█████████████████████████▋ | 7723/9000 [6:41:55<1:02:06, 2.92s/it][Dataset] cur_step=7724 phase=D_mixed_covt + 86%|█████████████████████████▋ | 7724/9000 [6:41:55<1:22:50, 3.90s/it][Dataset] cur_step=7724 phase=D_mixed_covt +[Dataset] cur_step=7724 phase=D_mixed_covt +[Dataset] cur_step=7724 phase=D_mixed_covt +[Dataset] cur_step=7724 phase=D_mixed_covt +[Dataset] cur_step=7724 phase=D_mixed_covt +[Dataset] cur_step=7724 phase=D_mixed_covt +[Dataset] cur_step=7724 phase=D_mixed_covt + {'loss': '3.043', 'grad_norm': '5.285', 'learning_rate': '2.698e-06', 'epoch': '0.2779'} + 86%|█████████████████████████▋ | 7724/9000 [6:41:55<1:22:50, 3.90s/it] {'lm_loss': '0.3583', 'visual_loss': '2.813', 'seg_loss': '0.6431', 'dino_loss': '0.9246', 'depth_loss': '0.384', 'vggt_mse_loss': '0.3804', 'vggt_cos_loss': '0.03566', 'pidinet_loss': '0.1992', 'siglip_loss': '0.6619', 'epoch': '0.2779'} + 86%|█████████████████████████▋ | 7724/9000 [6:41:59<1:22:50, 3.90s/it][Dataset] cur_step=7725 phase=D_mixed_covt +[Dataset] cur_step=7725 phase=D_mixed_covt[Dataset] cur_step=7725 phase=D_mixed_covt + + 86%|█████████████████████████▊ | 7725/9000 [6:41:59<1:24:14, 3.96s/it][Dataset] cur_step=7725 phase=D_mixed_covt +[Dataset] cur_step=7725 phase=D_mixed_covt[Dataset] cur_step=7725 phase=D_mixed_covt + +[Dataset] cur_step=7725 phase=D_mixed_covt +[Dataset] cur_step=7725 phase=D_mixed_covt + {'loss': '3.009', 'grad_norm': '3.539', 'learning_rate': '2.694e-06', 'epoch': '0.2779'} + 86%|█████████████████████████▊ | 7725/9000 [6:41:59<1:24:14, 3.96s/it] {'lm_loss': '0.5789', 'visual_loss': '3.033', 'seg_loss': '0.9704', 'dino_loss': '0.9181', 'depth_loss': '0.2707', 'vggt_mse_loss': '0.2686', 'vggt_cos_loss': '0.02063', 'pidinet_loss': '0.2089', 'siglip_loss': '0.6647', 'epoch': '0.2779'} + 86%|█████████████████████████▊ | 7725/9000 [6:42:01<1:24:14, 3.96s/it][Dataset] cur_step=7726 phase=D_mixed_covt +[Dataset] cur_step=7726 phase=D_mixed_covt +[Dataset] cur_step=7726 phase=D_mixed_covt +[Dataset] cur_step=7726 phase=D_mixed_covt[Dataset] cur_step=7726 phase=D_mixed_covt + +[Dataset] cur_step=7726 phase=D_mixed_covt + 86%|█████████████████████████▊ | 7726/9000 [6:42:01<1:10:31, 3.32s/it][Dataset] cur_step=7726 phase=D_mixed_covt +[Dataset] cur_step=7726 phase=D_mixed_covt + {'loss': '3.144', 'grad_norm': '5.337', 'learning_rate': '2.689e-06', 'epoch': '0.2779'} + 86%|█████████████████████████▊ | 7726/9000 [6:42:01<1:10:31, 3.32s/it] {'lm_loss': '0.8919', 'visual_loss': '1.149', 'seg_loss': '0.5404', 'dino_loss': '0', 'depth_loss': '0.2072', 'vggt_mse_loss': '0.2058', 'vggt_cos_loss': '0.01392', 'pidinet_loss': '0.04461', 'siglip_loss': '0.3572', 'epoch': '0.2779'} + 86%|█████████████████████████▊ | 7726/9000 [6:42:03<1:10:31, 3.32s/it][Dataset] cur_step=7727 phase=D_mixed_covt[Dataset] cur_step=7727 phase=D_mixed_covt + +[Dataset] cur_step=7727 phase=D_mixed_covt 86%|█████████████████████████▊ | 7727/9000 [6:42:04<1:06:16, 3.12s/it] +[Dataset] cur_step=7727 phase=D_mixed_covt +[Dataset] cur_step=7727 phase=D_mixed_covt +[Dataset] cur_step=7727 phase=D_mixed_covt +[Dataset] cur_step=7727 phase=D_mixed_covt +[Dataset] cur_step=7727 phase=D_mixed_covt + {'loss': '2.322', 'grad_norm': '2.585', 'learning_rate': '2.685e-06', 'epoch': '0.278'} + 86%|█████████████████████████▊ | 7727/9000 [6:42:04<1:06:16, 3.12s/it] {'lm_loss': '0.4798', 'visual_loss': '2.594', 'seg_loss': '0.7279', 'dino_loss': '0.8862', 'depth_loss': '0.2052', 'vggt_mse_loss': '0.2034', 'vggt_cos_loss': '0.01737', 'pidinet_loss': '0.2397', 'siglip_loss': '0.535', 'epoch': '0.278'} + 86%|█████████████████████████▊ | 7727/9000 [6:42:06<1:06:16, 3.12s/it][Dataset] cur_step=7728 phase=D_mixed_covt +[Dataset] cur_step=7728 phase=D_mixed_covt +[Dataset] cur_step=7728 phase=D_mixed_covt + 86%|█████████████████████████▊ | 7728/9000 [6:42:07<1:07:10, 3.17s/it][Dataset] cur_step=7728 phase=D_mixed_covt[Dataset] cur_step=7728 phase=D_mixed_covt +[Dataset] cur_step=7728 phase=D_mixed_covt + +[Dataset] cur_step=7728 phase=D_mixed_covt +[Dataset] cur_step=7728 phase=D_mixed_covt + {'loss': '3.107', 'grad_norm': '2.005', 'learning_rate': '2.681e-06', 'epoch': '0.278'} + 86%|█████████████████████████▊ | 7728/9000 [6:42:07<1:07:10, 3.17s/it] {'lm_loss': '0.4112', 'visual_loss': '2.735', 'seg_loss': '0.7855', 'dino_loss': '0.9392', 'depth_loss': '0.25', 'vggt_mse_loss': '0.2479', 'vggt_cos_loss': '0.02065', 'pidinet_loss': '0.237', 'siglip_loss': '0.523', 'epoch': '0.278'} + 86%|█████████████████████████▊ | 7728/9000 [6:42:10<1:07:10, 3.17s/it][Dataset] cur_step=7729 phase=D_mixed_covt +[Dataset] cur_step=7729 phase=D_mixed_covt +[Dataset] cur_step=7729 phase=D_mixed_covt +[Dataset] cur_step=7729 phase=D_mixed_covt[Dataset] cur_step=7729 phase=D_mixed_covt +[Dataset] cur_step=7729 phase=D_mixed_covt + + 86%|█████████████████████████▊ | 7729/9000 [6:42:10<1:07:58, 3.21s/it][Dataset] cur_step=7729 phase=D_mixed_covt +[Dataset] cur_step=7729 phase=D_mixed_covt + {'loss': '3.18', 'grad_norm': '1.936', 'learning_rate': '2.677e-06', 'epoch': '0.2781'} + 86%|█████████████████████████▊ | 7729/9000 [6:42:10<1:07:58, 3.21s/it] {'lm_loss': '0.4175', 'visual_loss': '2.492', 'seg_loss': '0.5258', 'dino_loss': '0.9123', 'depth_loss': '0.2686', 'vggt_mse_loss': '0.2669', 'vggt_cos_loss': '0.01708', 'pidinet_loss': '0.1665', 'siglip_loss': '0.6189', 'epoch': '0.2781'} + 86%|█████████████████████████▊ | 7729/9000 [6:42:12<1:07:58, 3.21s/it][Dataset] cur_step=7730 phase=D_mixed_covt[Dataset] cur_step=7730 phase=D_mixed_covt[Dataset] cur_step=7730 phase=D_mixed_covt + + + 86%|███████████████████████████▍ | 7730/9000 [6:42:12<59:08, 2.79s/it][Dataset] cur_step=7730 phase=D_mixed_covt +[Dataset] cur_step=7730 phase=D_mixed_covt +[Dataset] cur_step=7730 phase=D_mixed_covt +[Dataset] cur_step=7730 phase=D_mixed_covt +[Dataset] cur_step=7730 phase=D_mixed_covt + {'loss': '3.002', 'grad_norm': '4.336', 'learning_rate': '2.673e-06', 'epoch': '0.2781'} + 86%|███████████████████████████▍ | 7730/9000 [6:42:12<59:08, 2.79s/it] {'lm_loss': '0.09159', 'visual_loss': '2.275', 'seg_loss': '0.6957', 'dino_loss': '0.9005', 'depth_loss': '0.1617', 'vggt_mse_loss': '0.1607', 'vggt_cos_loss': '0.01033', 'pidinet_loss': '0.2076', 'siglip_loss': '0.3092', 'epoch': '0.2781'} + 86%|███████████████████████████▍ | 7730/9000 [6:42:14<59:08, 2.79s/it][Dataset] cur_step=7731 phase=D_mixed_covt +[Dataset] cur_step=7731 phase=D_mixed_covt +[Dataset] cur_step=7731 phase=D_mixed_covt[Dataset] cur_step=7731 phase=D_mixed_covt + + 86%|███████████████████████████▍ | 7731/9000 [6:42:15<57:55, 2.74s/it][Dataset] cur_step=7731 phase=D_mixed_covt[Dataset] cur_step=7731 phase=D_mixed_covt + +[Dataset] cur_step=7731 phase=D_mixed_covt +[Dataset] cur_step=7731 phase=D_mixed_covt + {'loss': '3.107', 'grad_norm': '6.606', 'learning_rate': '2.669e-06', 'epoch': '0.2781'} + 86%|███████████████████████████▍ | 7731/9000 [6:42:15<57:55, 2.74s/it] {'lm_loss': '1.138', 'visual_loss': '2.322', 'seg_loss': '0.5842', 'dino_loss': '0.8715', 'depth_loss': '0.1851', 'vggt_mse_loss': '0.1843', 'vggt_cos_loss': '0.008609', 'pidinet_loss': '0.2075', 'siglip_loss': '0.4741', 'epoch': '0.2781'} + 86%|███████████████████████████▍ | 7731/9000 [6:42:18<57:55, 2.74s/it][Dataset] cur_step=7732 phase=D_mixed_covt +[Dataset] cur_step=7732 phase=D_mixed_covt +[Dataset] cur_step=7732 phase=D_mixed_covt[Dataset] cur_step=7732 phase=D_mixed_covt + + 86%|█████████████████████████▊ | 7732/9000 [6:42:18<1:01:47, 2.92s/it][Dataset] cur_step=7732 phase=D_mixed_covt[Dataset] cur_step=7732 phase=D_mixed_covt + +[Dataset] cur_step=7732 phase=D_mixed_covt +[Dataset] cur_step=7732 phase=D_mixed_covt + {'loss': '3.264', 'grad_norm': '2.321', 'learning_rate': '2.665e-06', 'epoch': '0.2782'} + 86%|█████████████████████████▊ | 7732/9000 [6:42:18<1:01:47, 2.92s/it] {'lm_loss': '0.09522', 'visual_loss': '2.359', 'seg_loss': '0.682', 'dino_loss': '0.9044', 'depth_loss': '0.1566', 'vggt_mse_loss': '0.1561', 'vggt_cos_loss': '0.005163', 'pidinet_loss': '0.1824', 'siglip_loss': '0.4332', 'epoch': '0.2782'} + 86%|█████████████████████████▊ | 7732/9000 [6:42:20<1:01:47, 2.92s/it][Dataset] cur_step=7733 phase=D_mixed_covt +[Dataset] cur_step=7733 phase=D_mixed_covt +[Dataset] cur_step=7733 phase=D_mixed_covt +[Dataset] cur_step=7733 phase=D_mixed_covt + 86%|█████████████████████████▊ | 7733/9000 [6:42:21<1:00:45, 2.88s/it][Dataset] cur_step=7733 phase=D_mixed_covt +[Dataset] cur_step=7733 phase=D_mixed_covt +[Dataset] cur_step=7733 phase=D_mixed_covt +[Dataset] cur_step=7733 phase=D_mixed_covt + {'loss': '3.278', 'grad_norm': '4.771', 'learning_rate': '2.661e-06', 'epoch': '0.2782'} + 86%|█████████████████████████▊ | 7733/9000 [6:42:21<1:00:45, 2.88s/it] {'lm_loss': '1.073', 'visual_loss': '2.604', 'seg_loss': '0.6186', 'dino_loss': '0.8338', 'depth_loss': '0.2998', 'vggt_mse_loss': '0.2975', 'vggt_cos_loss': '0.02298', 'pidinet_loss': '0.1433', 'siglip_loss': '0.7087', 'epoch': '0.2782'} + 86%|█████████████████████████▊ | 7733/9000 [6:42:23<1:00:45, 2.88s/it][Dataset] cur_step=7734 phase=D_mixed_covt +[Dataset] cur_step=7734 phase=D_mixed_covt +[Dataset] cur_step=7734 phase=D_mixed_covt[Dataset] cur_step=7734 phase=D_mixed_covt +[Dataset] cur_step=7734 phase=D_mixed_covt[Dataset] cur_step=7734 phase=D_mixed_covt + + + 86%|███████████████████████████▍ | 7734/9000 [6:42:24<59:55, 2.84s/it][Dataset] cur_step=7734 phase=D_mixed_covt +[Dataset] cur_step=7734 phase=D_mixed_covt + {'loss': '3.363', 'grad_norm': '2.576', 'learning_rate': '2.656e-06', 'epoch': '0.2782'} + 86%|███████████████████████████▍ | 7734/9000 [6:42:24<59:55, 2.84s/it] {'lm_loss': '0.08068', 'visual_loss': '2.578', 'seg_loss': '0.5688', 'dino_loss': '0.88', 'depth_loss': '0.3455', 'vggt_mse_loss': '0.3434', 'vggt_cos_loss': '0.02141', 'pidinet_loss': '0.2372', 'siglip_loss': '0.5464', 'epoch': '0.2782'} + 86%|███████████████████████████▍ | 7734/9000 [6:42:26<59:55, 2.84s/it][Dataset] cur_step=7735 phase=D_mixed_covt +[Dataset] cur_step=7735 phase=D_mixed_covt +[Dataset] cur_step=7735 phase=D_mixed_covt +[Dataset] cur_step=7735 phase=D_mixed_covt +[Dataset] cur_step=7735 phase=D_mixed_covt +[Dataset] cur_step=7735 phase=D_mixed_covt + 86%|███████████████████████████▌ | 7735/9000 [6:42:26<59:42, 2.83s/it][Dataset] cur_step=7735 phase=D_mixed_covt +[Dataset] cur_step=7735 phase=D_mixed_covt + {'loss': '2.896', 'grad_norm': '8.109', 'learning_rate': '2.652e-06', 'epoch': '0.2783'} + 86%|███████████████████████████▌ | 7735/9000 [6:42:26<59:42, 2.83s/it] {'lm_loss': '0.06132', 'visual_loss': '2.473', 'seg_loss': '0.7207', 'dino_loss': '0.8649', 'depth_loss': '0.2014', 'vggt_mse_loss': '0.2001', 'vggt_cos_loss': '0.01328', 'pidinet_loss': '0.1313', 'siglip_loss': '0.5546', 'epoch': '0.2783'} + 86%|███████████████████████████▌ | 7735/9000 [6:42:30<59:42, 2.83s/it][Dataset] cur_step=7736 phase=D_mixed_covt +[Dataset] cur_step=7736 phase=D_mixed_covt +[Dataset] cur_step=7736 phase=D_mixed_covt +[Dataset] cur_step=7736 phase=D_mixed_covt +[Dataset] cur_step=7736 phase=D_mixed_covt +[Dataset] cur_step=7736 phase=D_mixed_covt +[Dataset] cur_step=7736 phase=D_mixed_covt + 86%|█████████████████████████▊ | 7736/9000 [6:42:31<1:08:19, 3.24s/it][Dataset] cur_step=7736 phase=D_mixed_covt + {'loss': '3.256', 'grad_norm': '3.751', 'learning_rate': '2.648e-06', 'epoch': '0.2783'} + 86%|█████████████████████████▊ | 7736/9000 [6:42:31<1:08:19, 3.24s/it] {'lm_loss': '0.8295', 'visual_loss': '2.717', 'seg_loss': '0.6943', 'dino_loss': '0.918', 'depth_loss': '0.2477', 'vggt_mse_loss': '0.2456', 'vggt_cos_loss': '0.02021', 'pidinet_loss': '0.3032', 'siglip_loss': '0.554', 'epoch': '0.2783'} + 86%|█████████████████████████▊ | 7736/9000 [6:42:32<1:08:19, 3.24s/it][Dataset] cur_step=7737 phase=D_mixed_covt[Dataset] cur_step=7737 phase=D_mixed_covt + +[Dataset] cur_step=7737 phase=D_mixed_covt +[Dataset] cur_step=7737 phase=D_mixed_covt[Dataset] cur_step=7737 phase=D_mixed_covt + +[Dataset] cur_step=7737 phase=D_mixed_covt +[Dataset] cur_step=7737 phase=D_mixed_covt +[Dataset] cur_step=7737 phase=D_mixed_covt + 86%|█████████████████████████▊ | 7737/9000 [6:42:33<1:00:15, 2.86s/it] {'loss': '3.672', 'grad_norm': '2.735', 'learning_rate': '2.644e-06', 'epoch': '0.2783'} + 86%|█████████████████████████▊ | 7737/9000 [6:42:33<1:00:15, 2.86s/it] {'lm_loss': '0.995', 'visual_loss': '1.837', 'seg_loss': '0.5071', 'dino_loss': '0', 'depth_loss': '0.2156', 'vggt_mse_loss': '0.2143', 'vggt_cos_loss': '0.01386', 'pidinet_loss': '0.3404', 'siglip_loss': '0.7736', 'epoch': '0.2783'} + 86%|█████████████████████████▊ | 7737/9000 [6:42:35<1:00:15, 2.86s/it][Dataset] cur_step=7738 phase=D_mixed_covt +[Dataset] cur_step=7738 phase=D_mixed_covt +[Dataset] cur_step=7738 phase=D_mixed_covt 86%|███████████████████████████▌ | 7738/9000 [6:42:35<59:52, 2.85s/it] +[Dataset] cur_step=7738 phase=D_mixed_covt +[Dataset] cur_step=7738 phase=D_mixed_covt[Dataset] cur_step=7738 phase=D_mixed_covt + +[Dataset] cur_step=7738 phase=D_mixed_covt +[Dataset] cur_step=7738 phase=D_mixed_covt + {'loss': '2.502', 'grad_norm': '3.662', 'learning_rate': '2.64e-06', 'epoch': '0.2784'} + 86%|███████████████████████████▌ | 7738/9000 [6:42:35<59:52, 2.85s/it] {'lm_loss': '1.033', 'visual_loss': '2.453', 'seg_loss': '0.6514', 'dino_loss': '0.848', 'depth_loss': '0.1235', 'vggt_mse_loss': '0.1224', 'vggt_cos_loss': '0.01107', 'pidinet_loss': '0.2426', 'siglip_loss': '0.5874', 'epoch': '0.2784'} + 86%|███████████████████████████▌ | 7738/9000 [6:42:38<59:52, 2.85s/it][Dataset] cur_step=7739 phase=D_mixed_covt +[Dataset] cur_step=7739 phase=D_mixed_covt[Dataset] cur_step=7739 phase=D_mixed_covt + +[Dataset] cur_step=7739 phase=D_mixed_covt +[Dataset] cur_step=7739 phase=D_mixed_covt +[Dataset] cur_step=7739 phase=D_mixed_covt +[Dataset] cur_step=7739 phase=D_mixed_covt +[Dataset] cur_step=7739 phase=D_mixed_covt + 86%|███████████████████████████▌ | 7739/9000 [6:42:38<57:40, 2.74s/it] {'loss': '3.516', 'grad_norm': '11.26', 'learning_rate': '2.636e-06', 'epoch': '0.2784'} + 86%|███████████████████████████▌ | 7739/9000 [6:42:38<57:40, 2.74s/it] {'lm_loss': '0.4994', 'visual_loss': '2.676', 'seg_loss': '0.8511', 'dino_loss': '0.9187', 'depth_loss': '0.2301', 'vggt_mse_loss': '0.2284', 'vggt_cos_loss': '0.01682', 'pidinet_loss': '0.2107', 'siglip_loss': '0.4652', 'epoch': '0.2784'} + 86%|███████████████████████████▌ | 7739/9000 [6:42:40<57:40, 2.74s/it][Dataset] cur_step=7740 phase=D_mixed_covt +[Dataset] cur_step=7740 phase=D_mixed_covt[Dataset] cur_step=7740 phase=D_mixed_covt + +[Dataset] cur_step=7740 phase=D_mixed_covt[Dataset] cur_step=7740 phase=D_mixed_covt + +[Dataset] cur_step=7740 phase=D_mixed_covt +[Dataset] cur_step=7740 phase=D_mixed_covt +[Dataset] cur_step=7740 phase=D_mixed_covt + 86%|███████████████████████████▌ | 7740/9000 [6:42:41<57:11, 2.72s/it] {'loss': '3.136', 'grad_norm': '2.456', 'learning_rate': '2.632e-06', 'epoch': '0.2784'} + 86%|███████████████████████████▌ | 7740/9000 [6:42:41<57:11, 2.72s/it] {'lm_loss': '0.6889', 'visual_loss': '2.577', 'seg_loss': '0.6041', 'dino_loss': '0.914', 'depth_loss': '0.2306', 'vggt_mse_loss': '0.229', 'vggt_cos_loss': '0.01607', 'pidinet_loss': '0.2111', 'siglip_loss': '0.6169', 'epoch': '0.2784'} + 86%|███████████████████████████▌ | 7740/9000 [6:42:43<57:11, 2.72s/it][Dataset] cur_step=7741 phase=D_mixed_covt +[Dataset] cur_step=7741 phase=D_mixed_covt +[Dataset] cur_step=7741 phase=D_mixed_covt +[Dataset] cur_step=7741 phase=D_mixed_covt +[Dataset] cur_step=7741 phase=D_mixed_covt +[Dataset] cur_step=7741 phase=D_mixed_covt +[Dataset] cur_step=7741 phase=D_mixed_covt[Dataset] cur_step=7741 phase=D_mixed_covt + + 86%|███████████████████████████▌ | 7741/9000 [6:42:43<56:17, 2.68s/it] {'loss': '3.09', 'grad_norm': '2.473', 'learning_rate': '2.628e-06', 'epoch': '0.2785'} + 86%|███████████████████████████▌ | 7741/9000 [6:42:43<56:17, 2.68s/it] {'lm_loss': '0.9198', 'visual_loss': '3.073', 'seg_loss': '0.7366', 'dino_loss': '0.9106', 'depth_loss': '0.259', 'vggt_mse_loss': '0.2572', 'vggt_cos_loss': '0.01793', 'pidinet_loss': '0.2619', 'siglip_loss': '0.9051', 'epoch': '0.2785'} + 86%|███████████████████████████▌ | 7741/9000 [6:42:45<56:17, 2.68s/it][Dataset] cur_step=7742 phase=D_mixed_covt +[Dataset] cur_step=7742 phase=D_mixed_covt +[Dataset] cur_step=7742 phase=D_mixed_covt +[Dataset] cur_step=7742 phase=D_mixed_covt +[Dataset] cur_step=7742 phase=D_mixed_covt +[Dataset] cur_step=7742 phase=D_mixed_covt +[Dataset] cur_step=7742 phase=D_mixed_covt + 86%|███████████████████████████▌ | 7742/9000 [6:42:45<52:41, 2.51s/it][Dataset] cur_step=7742 phase=D_mixed_covt + {'loss': '3.47', 'grad_norm': '5.2', 'learning_rate': '2.624e-06', 'epoch': '0.2785'} + 86%|███████████████████████████▌ | 7742/9000 [6:42:45<52:41, 2.51s/it] {'lm_loss': '0.4764', 'visual_loss': '2.531', 'seg_loss': '0.6984', 'dino_loss': '0.9167', 'depth_loss': '0.2324', 'vggt_mse_loss': '0.2307', 'vggt_cos_loss': '0.01737', 'pidinet_loss': '0.2328', 'siglip_loss': '0.4509', 'epoch': '0.2785'} + 86%|███████████████████████████▌ | 7742/9000 [6:42:47<52:41, 2.51s/it][Dataset] cur_step=7743 phase=D_mixed_covt +[Dataset] cur_step=7743 phase=D_mixed_covt +[Dataset] cur_step=7743 phase=D_mixed_covt +[Dataset] cur_step=7743 phase=D_mixed_covt[Dataset] cur_step=7743 phase=D_mixed_covt + +[Dataset] cur_step=7743 phase=D_mixed_covt + 86%|█████████████████████████▊ | 7743/9000 [6:42:50<1:06:23, 3.17s/it][Dataset] cur_step=7743 phase=D_mixed_covt +[Dataset] cur_step=7743 phase=D_mixed_covt + {'loss': '3.121', 'grad_norm': '4.283', 'learning_rate': '2.619e-06', 'epoch': '0.2786'} + 86%|█████████████████████████▊ | 7743/9000 [6:42:50<1:06:23, 3.17s/it] {'lm_loss': '0.07978', 'visual_loss': '2.615', 'seg_loss': '0.7545', 'dino_loss': '0.9351', 'depth_loss': '0.2278', 'vggt_mse_loss': '0.2262', 'vggt_cos_loss': '0.01551', 'pidinet_loss': '0.1901', 'siglip_loss': '0.5071', 'epoch': '0.2786'} + 86%|█████████████████████████▊ | 7743/9000 [6:42:53<1:06:23, 3.17s/it][Dataset] cur_step=7744 phase=D_mixed_covt +[Dataset] cur_step=7744 phase=D_mixed_covt +[Dataset] cur_step=7744 phase=D_mixed_covt +[Dataset] cur_step=7744 phase=D_mixed_covt[Dataset] cur_step=7744 phase=D_mixed_covt[Dataset] cur_step=7744 phase=D_mixed_covt + + + 86%|█████████████████████████▊ | 7744/9000 [6:42:53<1:05:56, 3.15s/it][Dataset] cur_step=7744 phase=D_mixed_covt +[Dataset] cur_step=7744 phase=D_mixed_covt + {'loss': '3.248', 'grad_norm': '3.897', 'learning_rate': '2.615e-06', 'epoch': '0.2786'} + 86%|█████████████████████████▊ | 7744/9000 [6:42:53<1:05:56, 3.15s/it] {'lm_loss': '0.534', 'visual_loss': '2.505', 'seg_loss': '0.7107', 'dino_loss': '0.9248', 'depth_loss': '0.2474', 'vggt_mse_loss': '0.2456', 'vggt_cos_loss': '0.01808', 'pidinet_loss': '0.2445', 'siglip_loss': '0.3772', 'epoch': '0.2786'} + 86%|█████████████████████████▊ | 7744/9000 [6:42:57<1:05:56, 3.15s/it][Dataset] cur_step=7745 phase=D_mixed_covt +[Dataset] cur_step=7745 phase=D_mixed_covt +[Dataset] cur_step=7745 phase=D_mixed_covt[Dataset] cur_step=7745 phase=D_mixed_covt + +[Dataset] cur_step=7745 phase=D_mixed_covt +[Dataset] cur_step=7745 phase=D_mixed_covt 86%|█████████████████████████▊ | 7745/9000 [6:42:57<1:10:24, 3.37s/it] +[Dataset] cur_step=7745 phase=D_mixed_covt +[Dataset] cur_step=7745 phase=D_mixed_covt + {'loss': '3.043', 'grad_norm': '3.084', 'learning_rate': '2.611e-06', 'epoch': '0.2786'} + 86%|█████████████████████████▊ | 7745/9000 [6:42:57<1:10:24, 3.37s/it] {'lm_loss': '0.5601', 'visual_loss': '2.195', 'seg_loss': '0.6845', 'dino_loss': '0.8429', 'depth_loss': '0.1537', 'vggt_mse_loss': '0.153', 'vggt_cos_loss': '0.007248', 'pidinet_loss': '0', 'siglip_loss': '0.5141', 'epoch': '0.2786'} + 86%|█████████████████████████▊ | 7745/9000 [6:42:58<1:10:24, 3.37s/it][Dataset] cur_step=7746 phase=D_mixed_covt +[Dataset] cur_step=7746 phase=D_mixed_covt +[Dataset] cur_step=7746 phase=D_mixed_covt +[Dataset] cur_step=7746 phase=D_mixed_covt[Dataset] cur_step=7746 phase=D_mixed_covt + +[Dataset] cur_step=7746 phase=D_mixed_covt + 86%|█████████████████████████▊ | 7746/9000 [6:42:59<1:00:37, 2.90s/it][Dataset] cur_step=7746 phase=D_mixed_covt +[Dataset] cur_step=7746 phase=D_mixed_covt + {'loss': '3.091', 'grad_norm': '3.522', 'learning_rate': '2.607e-06', 'epoch': '0.2787'} + 86%|█████████████████████████▊ | 7746/9000 [6:42:59<1:00:37, 2.90s/it] {'lm_loss': '0.9921', 'visual_loss': '2.806', 'seg_loss': '0.7714', 'dino_loss': '0.9278', 'depth_loss': '0.2169', 'vggt_mse_loss': '0.2156', 'vggt_cos_loss': '0.01294', 'pidinet_loss': '0.1543', 'siglip_loss': '0.7357', 'epoch': '0.2787'} + 86%|█████████████████████████▊ | 7746/9000 [6:43:00<1:00:37, 2.90s/it][Dataset] cur_step=7747 phase=D_mixed_covt +[Dataset] cur_step=7747 phase=D_mixed_covt[Dataset] cur_step=7747 phase=D_mixed_covt + +[Dataset] cur_step=7747 phase=D_mixed_covt +[Dataset] cur_step=7747 phase=D_mixed_covt[Dataset] cur_step=7747 phase=D_mixed_covt + +[Dataset] cur_step=7747 phase=D_mixed_covt +[Dataset] cur_step=7747 phase=D_mixed_covt + 86%|███████████████████████████▌ | 7747/9000 [6:43:01<59:01, 2.83s/it] {'loss': '3.259', 'grad_norm': '2.877', 'learning_rate': '2.603e-06', 'epoch': '0.2787'} + 86%|███████████████████████████▌ | 7747/9000 [6:43:01<59:01, 2.83s/it] {'lm_loss': '0.6657', 'visual_loss': '2.186', 'seg_loss': '0.7783', 'dino_loss': '0.9524', 'depth_loss': '0.2358', 'vggt_mse_loss': '0.2342', 'vggt_cos_loss': '0.01624', 'pidinet_loss': '0.219', 'siglip_loss': '0', 'epoch': '0.2787'} + 86%|███████████████████████████▌ | 7747/9000 [6:43:03<59:01, 2.83s/it][Dataset] cur_step=7748 phase=D_mixed_covt[Dataset] cur_step=7748 phase=D_mixed_covt + +[Dataset] cur_step=7748 phase=D_mixed_covt +[Dataset] cur_step=7748 phase=D_mixed_covt + 86%|███████████████████████████▌ | 7748/9000 [6:43:04<57:08, 2.74s/it][Dataset] cur_step=7748 phase=D_mixed_covt +[Dataset] cur_step=7748 phase=D_mixed_covt +[Dataset] cur_step=7748 phase=D_mixed_covt[Dataset] cur_step=7748 phase=D_mixed_covt + + {'loss': '2.805', 'grad_norm': '2.75', 'learning_rate': '2.599e-06', 'epoch': '0.2787'} + 86%|███████████████████████████▌ | 7748/9000 [6:43:04<57:08, 2.74s/it] {'lm_loss': '0.6152', 'visual_loss': '2.501', 'seg_loss': '0.8459', 'dino_loss': '0.9261', 'depth_loss': '0.1733', 'vggt_mse_loss': '0.1719', 'vggt_cos_loss': '0.01349', 'pidinet_loss': '0.2539', 'siglip_loss': '0.3018', 'epoch': '0.2787'} + 86%|███████████████████████████▌ | 7748/9000 [6:43:06<57:08, 2.74s/it][Dataset] cur_step=7749 phase=D_mixed_covt +[Dataset] cur_step=7749 phase=D_mixed_covt +[Dataset] cur_step=7749 phase=D_mixed_covt +[Dataset] cur_step=7749 phase=D_mixed_covt +[Dataset] cur_step=7749 phase=D_mixed_covt +[Dataset] cur_step=7749 phase=D_mixed_covt + 86%|█████████████████████████▊ | 7749/9000 [6:43:09<1:10:59, 3.40s/it][Dataset] cur_step=7749 phase=D_mixed_covt +[Dataset] cur_step=7749 phase=D_mixed_covt + {'loss': '3.088', 'grad_norm': '2.337', 'learning_rate': '2.595e-06', 'epoch': '0.2788'} + 86%|█████████████████████████▊ | 7749/9000 [6:43:09<1:10:59, 3.40s/it] {'lm_loss': '0.0566', 'visual_loss': '2.684', 'seg_loss': '0.5976', 'dino_loss': '0.9499', 'depth_loss': '0.2351', 'vggt_mse_loss': '0.2335', 'vggt_cos_loss': '0.01608', 'pidinet_loss': '0.2271', 'siglip_loss': '0.6747', 'epoch': '0.2788'} + 86%|█████████████████████████▊ | 7749/9000 [6:43:12<1:10:59, 3.40s/it][Dataset] cur_step=7750 phase=D_mixed_covt +[Dataset] cur_step=7750 phase=D_mixed_covt +[Dataset] cur_step=7750 phase=D_mixed_covt +[Dataset] cur_step=7750 phase=D_mixed_covt +[Dataset] cur_step=7750 phase=D_mixed_covt[Dataset] cur_step=7750 phase=D_mixed_covt + +[Dataset] cur_step=7750 phase=D_mixed_covt + 86%|█████████████████████████▊ | 7750/9000 [6:43:12<1:11:02, 3.41s/it][Dataset] cur_step=7750 phase=D_mixed_covt + {'loss': '3.161', 'grad_norm': '4.041', 'learning_rate': '2.591e-06', 'epoch': '0.2788'} + 86%|█████████████████████████▊ | 7750/9000 [6:43:12<1:11:02, 3.41s/it] {'lm_loss': '0.6157', 'visual_loss': '3.035', 'seg_loss': '0.8014', 'dino_loss': '0.9055', 'depth_loss': '0.2375', 'vggt_mse_loss': '0.2356', 'vggt_cos_loss': '0.01858', 'pidinet_loss': '0.2237', 'siglip_loss': '0.8671', 'epoch': '0.2788'} + 86%|█████████████████████████▊ | 7750/9000 [6:43:14<1:11:02, 3.41s/it][Dataset] cur_step=7751 phase=D_mixed_covt +[Dataset] cur_step=7751 phase=D_mixed_covt +[Dataset] cur_step=7751 phase=D_mixed_covt +[Dataset] cur_step=7751 phase=D_mixed_covt +[Dataset] cur_step=7751 phase=D_mixed_covt +[Dataset] cur_step=7751 phase=D_mixed_covt +[Dataset] cur_step=7751 phase=D_mixed_covt + 86%|█████████████████████████▊ | 7751/9000 [6:43:15<1:08:24, 3.29s/it][Dataset] cur_step=7751 phase=D_mixed_covt + {'loss': '3.082', 'grad_norm': '3.029', 'learning_rate': '2.587e-06', 'epoch': '0.2788'} + 86%|█████████████████████████▊ | 7751/9000 [6:43:15<1:08:24, 3.29s/it] {'lm_loss': '0.8094', 'visual_loss': '2.944', 'seg_loss': '0.8955', 'dino_loss': '0.9428', 'depth_loss': '0.1841', 'vggt_mse_loss': '0.1828', 'vggt_cos_loss': '0.01283', 'pidinet_loss': '0.1956', 'siglip_loss': '0.7265', 'epoch': '0.2788'} + 86%|█████████████████████████▊ | 7751/9000 [6:43:17<1:08:24, 3.29s/it][Dataset] cur_step=7752 phase=D_mixed_covt[Dataset] cur_step=7752 phase=D_mixed_covt + +[Dataset] cur_step=7752 phase=D_mixed_covt +[Dataset] cur_step=7752 phase=D_mixed_covt[Dataset] cur_step=7752 phase=D_mixed_covt + +[Dataset] cur_step=7752 phase=D_mixed_covt +[Dataset] cur_step=7752 phase=D_mixed_covt +[Dataset] cur_step=7752 phase=D_mixed_covt + 86%|█████████████████████████▊ | 7752/9000 [6:43:17<1:00:32, 2.91s/it] {'loss': '3.25', 'grad_norm': '2.897', 'learning_rate': '2.583e-06', 'epoch': '0.2789'} + 86%|█████████████████████████▊ | 7752/9000 [6:43:17<1:00:32, 2.91s/it] {'lm_loss': '0.7137', 'visual_loss': '2.366', 'seg_loss': '0.5685', 'dino_loss': '0.8798', 'depth_loss': '0.1728', 'vggt_mse_loss': '0.1717', 'vggt_cos_loss': '0.01052', 'pidinet_loss': '0.2496', 'siglip_loss': '0.4953', 'epoch': '0.2789'} + 86%|█████████████████████████▊ | 7752/9000 [6:43:21<1:00:32, 2.91s/it][Dataset] cur_step=7753 phase=D_mixed_covt +[Dataset] cur_step=7753 phase=D_mixed_covt +[Dataset] cur_step=7753 phase=D_mixed_covt +[Dataset] cur_step=7753 phase=D_mixed_covt +[Dataset] cur_step=7753 phase=D_mixed_covt[Dataset] cur_step=7753 phase=D_mixed_covt + + 86%|█████████████████████████▊ | 7753/9000 [6:43:21<1:07:10, 3.23s/it][Dataset] cur_step=7753 phase=D_mixed_covt +[Dataset] cur_step=7753 phase=D_mixed_covt + {'loss': '2.783', 'grad_norm': '3.699', 'learning_rate': '2.579e-06', 'epoch': '0.2789'} + 86%|█████████████████████████▊ | 7753/9000 [6:43:21<1:07:10, 3.23s/it] {'lm_loss': '0.5614', 'visual_loss': '2.603', 'seg_loss': '0.6461', 'dino_loss': '0.8795', 'depth_loss': '0.223', 'vggt_mse_loss': '0.2212', 'vggt_cos_loss': '0.01737', 'pidinet_loss': '0.2825', 'siglip_loss': '0.5719', 'epoch': '0.2789'} + 86%|█████████████████████████▊ | 7753/9000 [6:43:24<1:07:10, 3.23s/it][Dataset] cur_step=7754 phase=D_mixed_covt +[Dataset] cur_step=7754 phase=D_mixed_covt + 86%|█████████████████████████▊ | 7754/9000 [6:43:25<1:08:18, 3.29s/it][Dataset] cur_step=7754 phase=D_mixed_covt +[Dataset] cur_step=7754 phase=D_mixed_covt +[Dataset] cur_step=7754 phase=D_mixed_covt +[Dataset] cur_step=7754 phase=D_mixed_covt +[Dataset] cur_step=7754 phase=D_mixed_covt +[Dataset] cur_step=7754 phase=D_mixed_covt + {'loss': '3.33', 'grad_norm': '3.128', 'learning_rate': '2.575e-06', 'epoch': '0.279'} + 86%|█████████████████████████▊ | 7754/9000 [6:43:25<1:08:18, 3.29s/it] {'lm_loss': '0.5105', 'visual_loss': '2.672', 'seg_loss': '0.7721', 'dino_loss': '0.8746', 'depth_loss': '0.1969', 'vggt_mse_loss': '0.1954', 'vggt_cos_loss': '0.01523', 'pidinet_loss': '0.1704', 'siglip_loss': '0.6579', 'epoch': '0.279'} + 86%|█████████████████████████▊ | 7754/9000 [6:43:27<1:08:18, 3.29s/it][Dataset] cur_step=7755 phase=D_mixed_covt +[Dataset] cur_step=7755 phase=D_mixed_covt +[Dataset] cur_step=7755 phase=D_mixed_covt +[Dataset] cur_step=7755 phase=D_mixed_covt +[Dataset] cur_step=7755 phase=D_mixed_covt +[Dataset] cur_step=7755 phase=D_mixed_covt +[Dataset] cur_step=7755 phase=D_mixed_covt +[Dataset] cur_step=7755 phase=D_mixed_covt + 86%|█████████████████████████▊ | 7755/9000 [6:43:28<1:04:38, 3.12s/it] {'loss': '3.247', 'grad_norm': '8.447', 'learning_rate': '2.571e-06', 'epoch': '0.279'} + 86%|█████████████████████████▊ | 7755/9000 [6:43:28<1:04:38, 3.12s/it] {'lm_loss': '1.049', 'visual_loss': '2.969', 'seg_loss': '0.946', 'dino_loss': '0.9317', 'depth_loss': '0.3985', 'vggt_mse_loss': '0.3945', 'vggt_cos_loss': '0.04007', 'pidinet_loss': '0.2322', 'siglip_loss': '0.4605', 'epoch': '0.279'} + 86%|█████████████████████████▊ | 7755/9000 [6:43:29<1:04:38, 3.12s/it][Dataset] cur_step=7756 phase=D_mixed_covt +[Dataset] cur_step=7756 phase=D_mixed_covt +[Dataset] cur_step=7756 phase=D_mixed_covt[Dataset] cur_step=7756 phase=D_mixed_covt + +[Dataset] cur_step=7756 phase=D_mixed_covt +[Dataset] cur_step=7756 phase=D_mixed_covt +[Dataset] cur_step=7756 phase=D_mixed_covt + 86%|███████████████████████████▌ | 7756/9000 [6:43:29<56:28, 2.72s/it][Dataset] cur_step=7756 phase=D_mixed_covt + {'loss': '3.207', 'grad_norm': '3.644', 'learning_rate': '2.567e-06', 'epoch': '0.279'} + 86%|███████████████████████████▌ | 7756/9000 [6:43:29<56:28, 2.72s/it] {'lm_loss': '0.4633', 'visual_loss': '2.407', 'seg_loss': '0.7015', 'dino_loss': '0.9074', 'depth_loss': '0.2352', 'vggt_mse_loss': '0.233', 'vggt_cos_loss': '0.02174', 'pidinet_loss': '0.2081', 'siglip_loss': '0.3552', 'epoch': '0.279'} + 86%|███████████████████████████▌ | 7756/9000 [6:43:32<56:28, 2.72s/it][Dataset] cur_step=7757 phase=D_mixed_covt +[Dataset] cur_step=7757 phase=D_mixed_covt + 86%|███████████████████████████▌ | 7757/9000 [6:43:32<56:21, 2.72s/it][Dataset] cur_step=7757 phase=D_mixed_covt +[Dataset] cur_step=7757 phase=D_mixed_covt +[Dataset] cur_step=7757 phase=D_mixed_covt[Dataset] cur_step=7757 phase=D_mixed_covt + +[Dataset] cur_step=7757 phase=D_mixed_covt +[Dataset] cur_step=7757 phase=D_mixed_covt + {'loss': '3.148', 'grad_norm': '4.146', 'learning_rate': '2.562e-06', 'epoch': '0.2791'} + 86%|███████████████████████████▌ | 7757/9000 [6:43:32<56:21, 2.72s/it] {'lm_loss': '0.859', 'visual_loss': '2.165', 'seg_loss': '0.643', 'dino_loss': '0.9404', 'depth_loss': '0.2716', 'vggt_mse_loss': '0.2697', 'vggt_cos_loss': '0.01892', 'pidinet_loss': '0.3101', 'siglip_loss': '0', 'epoch': '0.2791'} + 86%|███████████████████████████▌ | 7757/9000 [6:43:35<56:21, 2.72s/it][Dataset] cur_step=7758 phase=D_mixed_covt +[Dataset] cur_step=7758 phase=D_mixed_covt +[Dataset] cur_step=7758 phase=D_mixed_covt +[Dataset] cur_step=7758 phase=D_mixed_covt +[Dataset] cur_step=7758 phase=D_mixed_covt +[Dataset] cur_step=7758 phase=D_mixed_covt + 86%|███████████████████████████▌ | 7758/9000 [6:43:35<59:02, 2.85s/it][Dataset] cur_step=7758 phase=D_mixed_covt +[Dataset] cur_step=7758 phase=D_mixed_covt + {'loss': '2.898', 'grad_norm': '2.139', 'learning_rate': '2.558e-06', 'epoch': '0.2791'} + 86%|███████████████████████████▌ | 7758/9000 [6:43:35<59:02, 2.85s/it] {'lm_loss': '1.193', 'visual_loss': '2.913', 'seg_loss': '0.7358', 'dino_loss': '0.9183', 'depth_loss': '0.5017', 'vggt_mse_loss': '0.4975', 'vggt_cos_loss': '0.0417', 'pidinet_loss': '0.2846', 'siglip_loss': '0.4728', 'epoch': '0.2791'} + 86%|███████████████████████████▌ | 7758/9000 [6:43:37<59:02, 2.85s/it][Dataset] cur_step=7759 phase=D_mixed_covt +[Dataset] cur_step=7759 phase=D_mixed_covt +[Dataset] cur_step=7759 phase=D_mixed_covt + 86%|█████████████████████████▊ | 7759/9000 [6:43:40<1:12:21, 3.50s/it][Dataset] cur_step=7759 phase=D_mixed_covt +[Dataset] cur_step=7759 phase=D_mixed_covt[Dataset] cur_step=7759 phase=D_mixed_covt + +[Dataset] cur_step=7759 phase=D_mixed_covt +[Dataset] cur_step=7759 phase=D_mixed_covt + {'loss': '3.013', 'grad_norm': '2.347', 'learning_rate': '2.554e-06', 'epoch': '0.2791'} + 86%|█████████████████████████▊ | 7759/9000 [6:43:40<1:12:21, 3.50s/it] {'lm_loss': '1.239', 'visual_loss': '2.671', 'seg_loss': '0.7419', 'dino_loss': '0.8861', 'depth_loss': '0.1856', 'vggt_mse_loss': '0.1843', 'vggt_cos_loss': '0.01309', 'pidinet_loss': '0.2108', 'siglip_loss': '0.6469', 'epoch': '0.2791'} + 86%|█████████████████████████▊ | 7759/9000 [6:43:42<1:12:21, 3.50s/it][Dataset] cur_step=7760 phase=D_mixed_covt +[Dataset] cur_step=7760 phase=D_mixed_covt +[Dataset] cur_step=7760 phase=D_mixed_covt +[Dataset] cur_step=7760 phase=D_mixed_covt + 86%|█████████████████████████▊ | 7760/9000 [6:43:43<1:06:29, 3.22s/it][Dataset] cur_step=7760 phase=D_mixed_covt +[Dataset] cur_step=7760 phase=D_mixed_covt +[Dataset] cur_step=7760 phase=D_mixed_covt +[Dataset] cur_step=7760 phase=D_mixed_covt + {'loss': '3.278', 'grad_norm': '2.848', 'learning_rate': '2.55e-06', 'epoch': '0.2792'} + 86%|█████████████████████████▊ | 7760/9000 [6:43:43<1:06:29, 3.22s/it] {'lm_loss': '0.1485', 'visual_loss': '2.066', 'seg_loss': '0.7308', 'dino_loss': '0.9289', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2735', 'siglip_loss': '0.1326', 'epoch': '0.2792'} + 86%|█████████████████████████▊ | 7760/9000 [6:43:44<1:06:29, 3.22s/it][Dataset] cur_step=7761 phase=D_mixed_covt +[Dataset] cur_step=7761 phase=D_mixed_covt +[Dataset] cur_step=7761 phase=D_mixed_covt +[Dataset] cur_step=7761 phase=D_mixed_covt +[Dataset] cur_step=7761 phase=D_mixed_covt +[Dataset] cur_step=7761 phase=D_mixed_covt +[Dataset] cur_step=7761 phase=D_mixed_covt + 86%|███████████████████████████▌ | 7761/9000 [6:43:44<56:57, 2.76s/it][Dataset] cur_step=7761 phase=D_mixed_covt + {'loss': '3.133', 'grad_norm': '3.515', 'learning_rate': '2.546e-06', 'epoch': '0.2792'} + 86%|███████████████████████████▌ | 7761/9000 [6:43:44<56:57, 2.76s/it] {'lm_loss': '0.05284', 'visual_loss': '2.684', 'seg_loss': '0.7727', 'dino_loss': '0.9209', 'depth_loss': '0.2462', 'vggt_mse_loss': '0.2443', 'vggt_cos_loss': '0.01895', 'pidinet_loss': '0.2315', 'siglip_loss': '0.5123', 'epoch': '0.2792'} + 86%|███████████████████████████▌ | 7761/9000 [6:43:46<56:57, 2.76s/it][Dataset] cur_step=7762 phase=D_mixed_covt[Dataset] cur_step=7762 phase=D_mixed_covt + +[Dataset] cur_step=7762 phase=D_mixed_covt +[Dataset] cur_step=7762 phase=D_mixed_covt +[Dataset] cur_step=7762 phase=D_mixed_covt[Dataset] cur_step=7762 phase=D_mixed_covt + +[Dataset] cur_step=7762 phase=D_mixed_covt +[Dataset] cur_step=7762 phase=D_mixed_covt + 86%|███████████████████████████▌ | 7762/9000 [6:43:47<55:46, 2.70s/it] {'loss': '3.113', 'grad_norm': '1.955', 'learning_rate': '2.542e-06', 'epoch': '0.2792'} + 86%|███████████████████████████▌ | 7762/9000 [6:43:47<55:46, 2.70s/it] {'lm_loss': '0.07313', 'visual_loss': '2.066', 'seg_loss': '0.6532', 'dino_loss': '0.9009', 'depth_loss': '0.2231', 'vggt_mse_loss': '0.2216', 'vggt_cos_loss': '0.01506', 'pidinet_loss': '0.1952', 'siglip_loss': '0.09398', 'epoch': '0.2792'} + 86%|███████████████████████████▌ | 7762/9000 [6:43:49<55:46, 2.70s/it][Dataset] cur_step=7763 phase=D_mixed_covt[Dataset] cur_step=7763 phase=D_mixed_covt + +[Dataset] cur_step=7763 phase=D_mixed_covt +[Dataset] cur_step=7763 phase=D_mixed_covt[Dataset] cur_step=7763 phase=D_mixed_covt +[Dataset] cur_step=7763 phase=D_mixed_covt + + 86%|███████████████████████████▌ | 7763/9000 [6:43:50<55:16, 2.68s/it][Dataset] cur_step=7763 phase=D_mixed_covt +[Dataset] cur_step=7763 phase=D_mixed_covt + {'loss': '3.028', 'grad_norm': '2.263', 'learning_rate': '2.538e-06', 'epoch': '0.2793'} + 86%|███████████████████████████▌ | 7763/9000 [6:43:50<55:16, 2.68s/it] {'lm_loss': '0.5838', 'visual_loss': '2.676', 'seg_loss': '0.5658', 'dino_loss': '0.8914', 'depth_loss': '0.2021', 'vggt_mse_loss': '0.2013', 'vggt_cos_loss': '0.008839', 'pidinet_loss': '0.222', 'siglip_loss': '0.7948', 'epoch': '0.2793'} + 86%|███████████████████████████▌ | 7763/9000 [6:43:52<55:16, 2.68s/it][Dataset] cur_step=7764 phase=D_mixed_covt +[Dataset] cur_step=7764 phase=D_mixed_covt +[Dataset] cur_step=7764 phase=D_mixed_covt[Dataset] cur_step=7764 phase=D_mixed_covt + +[Dataset] cur_step=7764 phase=D_mixed_covt +[Dataset] cur_step=7764 phase=D_mixed_covt + 86%|███████████████████████████▌ | 7764/9000 [6:43:52<54:51, 2.66s/it][Dataset] cur_step=7764 phase=D_mixed_covt +[Dataset] cur_step=7764 phase=D_mixed_covt + {'loss': '3.186', 'grad_norm': '2.595', 'learning_rate': '2.534e-06', 'epoch': '0.2793'} + 86%|███████████████████████████▌ | 7764/9000 [6:43:52<54:51, 2.66s/it] {'lm_loss': '0.7772', 'visual_loss': '2.949', 'seg_loss': '0.8665', 'dino_loss': '0.913', 'depth_loss': '0.3233', 'vggt_mse_loss': '0.3214', 'vggt_cos_loss': '0.01903', 'pidinet_loss': '0.2357', 'siglip_loss': '0.6101', 'epoch': '0.2793'} + 86%|███████████████████████████▌ | 7764/9000 [6:43:54<54:51, 2.66s/it][Dataset] cur_step=7765 phase=D_mixed_covt +[Dataset] cur_step=7765 phase=D_mixed_covt +[Dataset] cur_step=7765 phase=D_mixed_covt +[Dataset] cur_step=7765 phase=D_mixed_covt +[Dataset] cur_step=7765 phase=D_mixed_covt +[Dataset] cur_step=7765 phase=D_mixed_covt +[Dataset] cur_step=7765 phase=D_mixed_covt +[Dataset] cur_step=7765 phase=D_mixed_covt + 86%|███████████████████████████▌ | 7765/9000 [6:43:54<50:04, 2.43s/it] {'loss': '3.285', 'grad_norm': '3.884', 'learning_rate': '2.53e-06', 'epoch': '0.2793'} + 86%|███████████████████████████▌ | 7765/9000 [6:43:54<50:04, 2.43s/it] {'lm_loss': '0.4124', 'visual_loss': '3', 'seg_loss': '0.7468', 'dino_loss': '0.9115', 'depth_loss': '0.6171', 'vggt_mse_loss': '0.611', 'vggt_cos_loss': '0.06117', 'pidinet_loss': '0.2142', 'siglip_loss': '0.5109', 'epoch': '0.2793'} + 86%|███████████████████████████▌ | 7765/9000 [6:43:57<50:04, 2.43s/it][Dataset] cur_step=7766 phase=D_mixed_covt +[Dataset] cur_step=7766 phase=D_mixed_covt +[Dataset] cur_step=7766 phase=D_mixed_covt +[Dataset] cur_step=7766 phase=D_mixed_covt + 86%|███████████████████████████▌ | 7766/9000 [6:43:58<58:22, 2.84s/it][Dataset] cur_step=7766 phase=D_mixed_covt +[Dataset] cur_step=7766 phase=D_mixed_covt[Dataset] cur_step=7766 phase=D_mixed_covt + +[Dataset] cur_step=7766 phase=D_mixed_covt + {'loss': '3.478', 'grad_norm': '6.969', 'learning_rate': '2.526e-06', 'epoch': '0.2794'} + 86%|███████████████████████████▌ | 7766/9000 [6:43:58<58:22, 2.84s/it] {'lm_loss': '0.6865', 'visual_loss': '2.226', 'seg_loss': '0.5904', 'dino_loss': '0.8831', 'depth_loss': '0.1577', 'vggt_mse_loss': '0.157', 'vggt_cos_loss': '0.00678', 'pidinet_loss': '0.08902', 'siglip_loss': '0.5056', 'epoch': '0.2794'} + 86%|███████████████████████████▌ | 7766/9000 [6:43:59<58:22, 2.84s/it][Dataset] cur_step=7767 phase=D_mixed_covt +[Dataset] cur_step=7767 phase=D_mixed_covt +[Dataset] cur_step=7767 phase=D_mixed_covt +[Dataset] cur_step=7767 phase=D_mixed_covt[Dataset] cur_step=7767 phase=D_mixed_covt + +[Dataset] cur_step=7767 phase=D_mixed_covt +[Dataset] cur_step=7767 phase=D_mixed_covt + 86%|███████████████████████████▌ | 7767/9000 [6:44:00<52:05, 2.54s/it][Dataset] cur_step=7767 phase=D_mixed_covt + {'loss': '3.091', 'grad_norm': '4.196', 'learning_rate': '2.522e-06', 'epoch': '0.2794'} + 86%|███████████████████████████▌ | 7767/9000 [6:44:00<52:05, 2.54s/it] {'lm_loss': '0.7419', 'visual_loss': '1.946', 'seg_loss': '0.7225', 'dino_loss': '0', 'depth_loss': '0.2647', 'vggt_mse_loss': '0.2626', 'vggt_cos_loss': '0.02121', 'pidinet_loss': '0.2945', 'siglip_loss': '0.6644', 'epoch': '0.2794'} + 86%|███████████████████████████▌ | 7767/9000 [6:44:02<52:05, 2.54s/it][Dataset] cur_step=7768 phase=D_mixed_covt[Dataset] cur_step=7768 phase=D_mixed_covt + +[Dataset] cur_step=7768 phase=D_mixed_covt[Dataset] cur_step=7768 phase=D_mixed_covt + +[Dataset] cur_step=7768 phase=D_mixed_covt + 86%|███████████████████████████▌ | 7768/9000 [6:44:03<56:53, 2.77s/it][Dataset] cur_step=7768 phase=D_mixed_covt +[Dataset] cur_step=7768 phase=D_mixed_covt +[Dataset] cur_step=7768 phase=D_mixed_covt + {'loss': '2.449', 'grad_norm': '3.927', 'learning_rate': '2.518e-06', 'epoch': '0.2795'} + 86%|███████████████████████████▌ | 7768/9000 [6:44:03<56:53, 2.77s/it] {'lm_loss': '0.369', 'visual_loss': '2.923', 'seg_loss': '0.8065', 'dino_loss': '0.913', 'depth_loss': '0.1715', 'vggt_mse_loss': '0.1704', 'vggt_cos_loss': '0.01149', 'pidinet_loss': '0.2415', 'siglip_loss': '0.7907', 'epoch': '0.2795'} + 86%|███████████████████████████▌ | 7768/9000 [6:44:06<56:53, 2.77s/it][Dataset] cur_step=7769 phase=D_mixed_covt +[Dataset] cur_step=7769 phase=D_mixed_covt +[Dataset] cur_step=7769 phase=D_mixed_covt +[Dataset] cur_step=7769 phase=D_mixed_covt[Dataset] cur_step=7769 phase=D_mixed_covt + +[Dataset] cur_step=7769 phase=D_mixed_covt +[Dataset] cur_step=7769 phase=D_mixed_covt + 86%|█████████████████████████▉ | 7769/9000 [6:44:06<1:00:05, 2.93s/it][Dataset] cur_step=7769 phase=D_mixed_covt + {'loss': '3.08', 'grad_norm': '2.292', 'learning_rate': '2.514e-06', 'epoch': '0.2795'} + 86%|█████████████████████████▉ | 7769/9000 [6:44:06<1:00:05, 2.93s/it] {'lm_loss': '0.5249', 'visual_loss': '2.697', 'seg_loss': '0.5824', 'dino_loss': '0.9297', 'depth_loss': '0.2847', 'vggt_mse_loss': '0.283', 'vggt_cos_loss': '0.01721', 'pidinet_loss': '0.2652', 'siglip_loss': '0.6346', 'epoch': '0.2795'} + 86%|█████████████████████████▉ | 7769/9000 [6:44:08<1:00:05, 2.93s/it][Dataset] cur_step=7770 phase=D_mixed_covt +[Dataset] cur_step=7770 phase=D_mixed_covt + 86%|███████████████████████████▋ | 7770/9000 [6:44:08<53:49, 2.63s/it][Dataset] cur_step=7770 phase=D_mixed_covt +[Dataset] cur_step=7770 phase=D_mixed_covt[Dataset] cur_step=7770 phase=D_mixed_covt + +[Dataset] cur_step=7770 phase=D_mixed_covt +[Dataset] cur_step=7770 phase=D_mixed_covt +[Dataset] cur_step=7770 phase=D_mixed_covt + {'loss': '3.34', 'grad_norm': '2.965', 'learning_rate': '2.51e-06', 'epoch': '0.2795'} + 86%|███████████████████████████▋ | 7770/9000 [6:44:08<53:49, 2.63s/it] {'lm_loss': '0.528', 'visual_loss': '3.036', 'seg_loss': '0.7623', 'dino_loss': '0.9129', 'depth_loss': '0.1601', 'vggt_mse_loss': '0.1592', 'vggt_cos_loss': '0.009477', 'pidinet_loss': '0.241', 'siglip_loss': '0.9591', 'epoch': '0.2795'} + 86%|███████████████████████████▋ | 7770/9000 [6:44:11<53:49, 2.63s/it][Dataset] cur_step=7771 phase=D_mixed_covt[Dataset] cur_step=7771 phase=D_mixed_covt + +[Dataset] cur_step=7771 phase=D_mixed_covt[Dataset] cur_step=7771 phase=D_mixed_covt + + 86%|███████████████████████████▋ | 7771/9000 [6:44:12<57:15, 2.80s/it][Dataset] cur_step=7771 phase=D_mixed_covt +[Dataset] cur_step=7771 phase=D_mixed_covt +[Dataset] cur_step=7771 phase=D_mixed_covt +[Dataset] cur_step=7771 phase=D_mixed_covt + {'loss': '3.418', 'grad_norm': '2.291', 'learning_rate': '2.506e-06', 'epoch': '0.2796'} + 86%|███████████████████████████▋ | 7771/9000 [6:44:12<57:15, 2.80s/it] {'lm_loss': '0.1594', 'visual_loss': '2.82', 'seg_loss': '0.7347', 'dino_loss': '0.9394', 'depth_loss': '0.2766', 'vggt_mse_loss': '0.2745', 'vggt_cos_loss': '0.02136', 'pidinet_loss': '0.2207', 'siglip_loss': '0.6487', 'epoch': '0.2796'} + 86%|███████████████████████████▋ | 7771/9000 [6:44:14<57:15, 2.80s/it][Dataset] cur_step=7772 phase=D_mixed_covt[Dataset] cur_step=7772 phase=D_mixed_covt + +[Dataset] cur_step=7772 phase=D_mixed_covt +[Dataset] cur_step=7772 phase=D_mixed_covt + 86%|███████████████████████████▋ | 7772/9000 [6:44:14<56:45, 2.77s/it][Dataset] cur_step=7772 phase=D_mixed_covt +[Dataset] cur_step=7772 phase=D_mixed_covt +[Dataset] cur_step=7772 phase=D_mixed_covt +[Dataset] cur_step=7772 phase=D_mixed_covt + {'loss': '3.223', 'grad_norm': '4', 'learning_rate': '2.502e-06', 'epoch': '0.2796'} + 86%|███████████████████████████▋ | 7772/9000 [6:44:14<56:45, 2.77s/it] {'lm_loss': '0.05208', 'visual_loss': '2.405', 'seg_loss': '0.6841', 'dino_loss': '0.8743', 'depth_loss': '0.268', 'vggt_mse_loss': '0.266', 'vggt_cos_loss': '0.02013', 'pidinet_loss': '0.1671', 'siglip_loss': '0.4118', 'epoch': '0.2796'} + 86%|███████████████████████████▋ | 7772/9000 [6:44:17<56:45, 2.77s/it][Dataset] cur_step=7773 phase=D_mixed_covt +[Dataset] cur_step=7773 phase=D_mixed_covt +[Dataset] cur_step=7773 phase=D_mixed_covt +[Dataset] cur_step=7773 phase=D_mixed_covt[Dataset] cur_step=7773 phase=D_mixed_covt + + 86%|███████████████████████████▋ | 7773/9000 [6:44:17<58:39, 2.87s/it][Dataset] cur_step=7773 phase=D_mixed_covt +[Dataset] cur_step=7773 phase=D_mixed_covt +[Dataset] cur_step=7773 phase=D_mixed_covt + {'loss': '2.976', 'grad_norm': '3.191', 'learning_rate': '2.498e-06', 'epoch': '0.2796'} + 86%|███████████████████████████▋ | 7773/9000 [6:44:17<58:39, 2.87s/it] {'lm_loss': '0.8709', 'visual_loss': '2.216', 'seg_loss': '0.7787', 'dino_loss': '0.8296', 'depth_loss': '0.3643', 'vggt_mse_loss': '0.3611', 'vggt_cos_loss': '0.03202', 'pidinet_loss': '0.2438', 'siglip_loss': '0', 'epoch': '0.2796'} + 86%|███████████████████████████▋ | 7773/9000 [6:44:19<58:39, 2.87s/it][Dataset] cur_step=7774 phase=D_mixed_covt +[Dataset] cur_step=7774 phase=D_mixed_covt +[Dataset] cur_step=7774 phase=D_mixed_covt + 86%|█████████████████████████▉ | 7774/9000 [6:44:23<1:15:27, 3.69s/it][Dataset] cur_step=7774 phase=D_mixed_covt +[Dataset] cur_step=7774 phase=D_mixed_covt[Dataset] cur_step=7774 phase=D_mixed_covt + +[Dataset] cur_step=7774 phase=D_mixed_covt +[Dataset] cur_step=7774 phase=D_mixed_covt + {'loss': '2.763', 'grad_norm': '4.364', 'learning_rate': '2.494e-06', 'epoch': '0.2797'} + 86%|█████████████████████████▉ | 7774/9000 [6:44:23<1:15:27, 3.69s/it] {'lm_loss': '0.8816', 'visual_loss': '2.045', 'seg_loss': '0', 'dino_loss': '0.8678', 'depth_loss': '0.3268', 'vggt_mse_loss': '0.3245', 'vggt_cos_loss': '0.02294', 'pidinet_loss': '0.1963', 'siglip_loss': '0.6541', 'epoch': '0.2797'} + 86%|█████████████████████████▉ | 7774/9000 [6:44:24<1:15:27, 3.69s/it][Dataset] cur_step=7775 phase=D_mixed_covt +[Dataset] cur_step=7775 phase=D_mixed_covt +[Dataset] cur_step=7775 phase=D_mixed_covt +[Dataset] cur_step=7775 phase=D_mixed_covt[Dataset] cur_step=7775 phase=D_mixed_covt + +[Dataset] cur_step=7775 phase=D_mixed_covt + 86%|█████████████████████████▉ | 7775/9000 [6:44:24<1:00:00, 2.94s/it][Dataset] cur_step=7775 phase=D_mixed_covt +[Dataset] cur_step=7775 phase=D_mixed_covt + {'loss': '2.542', 'grad_norm': '3.477', 'learning_rate': '2.49e-06', 'epoch': '0.2797'} + 86%|█████████████████████████▉ | 7775/9000 [6:44:24<1:00:00, 2.94s/it] {'lm_loss': '0.9094', 'visual_loss': '2.745', 'seg_loss': '0.8036', 'dino_loss': '0.9234', 'depth_loss': '0.3611', 'vggt_mse_loss': '0.358', 'vggt_cos_loss': '0.03163', 'pidinet_loss': '0.2778', 'siglip_loss': '0.379', 'epoch': '0.2797'} + 86%|█████████████████████████▉ | 7775/9000 [6:44:26<1:00:00, 2.94s/it][Dataset] cur_step=7776 phase=D_mixed_covt +[Dataset] cur_step=7776 phase=D_mixed_covt[Dataset] cur_step=7776 phase=D_mixed_covt + +[Dataset] cur_step=7776 phase=D_mixed_covt[Dataset] cur_step=7776 phase=D_mixed_covt[Dataset] cur_step=7776 phase=D_mixed_covt + + + 86%|███████████████████████████▋ | 7776/9000 [6:44:26<53:59, 2.65s/it][Dataset] cur_step=7776 phase=D_mixed_covt +[Dataset] cur_step=7776 phase=D_mixed_covt + {'loss': '3.058', 'grad_norm': '3.231', 'learning_rate': '2.486e-06', 'epoch': '0.2797'} + 86%|███████████████████████████▋ | 7776/9000 [6:44:26<53:59, 2.65s/it] {'lm_loss': '1.066', 'visual_loss': '1.013', 'seg_loss': '0.3856', 'dino_loss': '0', 'depth_loss': '0.3413', 'vggt_mse_loss': '0.3387', 'vggt_cos_loss': '0.02621', 'pidinet_loss': '0.2863', 'siglip_loss': '0', 'epoch': '0.2797'} + 86%|███████████████████████████▋ | 7776/9000 [6:44:28<53:59, 2.65s/it][Dataset] cur_step=7777 phase=D_mixed_covt +[Dataset] cur_step=7777 phase=D_mixed_covt +[Dataset] cur_step=7777 phase=D_mixed_covt +[Dataset] cur_step=7777 phase=D_mixed_covt +[Dataset] cur_step=7777 phase=D_mixed_covt +[Dataset] cur_step=7777 phase=D_mixed_covt +[Dataset] cur_step=7777 phase=D_mixed_covt + 86%|███████████████████████████▋ | 7777/9000 [6:44:28<50:06, 2.46s/it][Dataset] cur_step=7777 phase=D_mixed_covt + {'loss': '1.815', 'grad_norm': '4.578', 'learning_rate': '2.482e-06', 'epoch': '0.2798'} + 86%|███████████████████████████▋ | 7777/9000 [6:44:28<50:06, 2.46s/it] {'lm_loss': '1.011', 'visual_loss': '2.49', 'seg_loss': '0.7044', 'dino_loss': '0.9007', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2575', 'siglip_loss': '0.6272', 'epoch': '0.2798'} + 86%|███████████████████████████▋ | 7777/9000 [6:44:30<50:06, 2.46s/it][Dataset] cur_step=7778 phase=D_mixed_covt +[Dataset] cur_step=7778 phase=D_mixed_covt[Dataset] cur_step=7778 phase=D_mixed_covt + +[Dataset] cur_step=7778 phase=D_mixed_covt +[Dataset] cur_step=7778 phase=D_mixed_covt +[Dataset] cur_step=7778 phase=D_mixed_covt + 86%|███████████████████████████▋ | 7778/9000 [6:44:31<50:07, 2.46s/it][Dataset] cur_step=7778 phase=D_mixed_covt +[Dataset] cur_step=7778 phase=D_mixed_covt + {'loss': '3.14', 'grad_norm': '2.851', 'learning_rate': '2.478e-06', 'epoch': '0.2798'} + 86%|███████████████████████████▋ | 7778/9000 [6:44:31<50:07, 2.46s/it] {'lm_loss': '0.5767', 'visual_loss': '2.612', 'seg_loss': '0.5978', 'dino_loss': '0.9199', 'depth_loss': '0.1922', 'vggt_mse_loss': '0.1908', 'vggt_cos_loss': '0.01359', 'pidinet_loss': '0.2214', 'siglip_loss': '0.681', 'epoch': '0.2798'} + 86%|███████████████████████████▋ | 7778/9000 [6:44:34<50:07, 2.46s/it][Dataset] cur_step=7779 phase=D_mixed_covt + 86%|███████████████████████████▋ | 7779/9000 [6:44:34<57:54, 2.85s/it][Dataset] cur_step=7779 phase=D_mixed_covt +[Dataset] cur_step=7779 phase=D_mixed_covt +[Dataset] cur_step=7779 phase=D_mixed_covt +[Dataset] cur_step=7779 phase=D_mixed_covt +[Dataset] cur_step=7779 phase=D_mixed_covt +[Dataset] cur_step=7779 phase=D_mixed_covt +[Dataset] cur_step=7779 phase=D_mixed_covt + {'loss': '3.051', 'grad_norm': '3.495', 'learning_rate': '2.474e-06', 'epoch': '0.2799'} + 86%|███████████████████████████▋ | 7779/9000 [6:44:34<57:54, 2.85s/it] {'lm_loss': '0.8474', 'visual_loss': '1.822', 'seg_loss': '0.6051', 'dino_loss': '0', 'depth_loss': '0.2311', 'vggt_mse_loss': '0.2293', 'vggt_cos_loss': '0.01764', 'pidinet_loss': '0.2525', 'siglip_loss': '0.7331', 'epoch': '0.2799'} + 86%|███████████████████████████▋ | 7779/9000 [6:44:37<57:54, 2.85s/it][Dataset] cur_step=7780 phase=D_mixed_covt +[Dataset] cur_step=7780 phase=D_mixed_covt +[Dataset] cur_step=7780 phase=D_mixed_covt[Dataset] cur_step=7780 phase=D_mixed_covt +[Dataset] cur_step=7780 phase=D_mixed_covt + + 86%|█████████████████████████▉ | 7780/9000 [6:44:40<1:12:44, 3.58s/it][Dataset] cur_step=7780 phase=D_mixed_covt +[Dataset] cur_step=7780 phase=D_mixed_covt +[Dataset] cur_step=7780 phase=D_mixed_covt + {'loss': '2.715', 'grad_norm': '3.325', 'learning_rate': '2.47e-06', 'epoch': '0.2799'} + 86%|█████████████████████████▉ | 7780/9000 [6:44:40<1:12:44, 3.58s/it] {'lm_loss': '0.7645', 'visual_loss': '2.88', 'seg_loss': '0.6726', 'dino_loss': '0.9222', 'depth_loss': '0.371', 'vggt_mse_loss': '0.3686', 'vggt_cos_loss': '0.02387', 'pidinet_loss': '0.2326', 'siglip_loss': '0.6813', 'epoch': '0.2799'} + 86%|█████████████████████████▉ | 7780/9000 [6:44:42<1:12:44, 3.58s/it][Dataset] cur_step=7781 phase=D_mixed_covt[Dataset] cur_step=7781 phase=D_mixed_covt[Dataset] cur_step=7781 phase=D_mixed_covt +[Dataset] cur_step=7781 phase=D_mixed_covt + + + 86%|█████████████████████████▉ | 7781/9000 [6:44:43<1:11:50, 3.54s/it][Dataset] cur_step=7781 phase=D_mixed_covt +[Dataset] cur_step=7781 phase=D_mixed_covt[Dataset] cur_step=7781 phase=D_mixed_covt + +[Dataset] cur_step=7781 phase=D_mixed_covt + {'loss': '3.402', 'grad_norm': '2.429', 'learning_rate': '2.466e-06', 'epoch': '0.2799'} + 86%|█████████████████████████▉ | 7781/9000 [6:44:43<1:11:50, 3.54s/it] {'lm_loss': '0.6707', 'visual_loss': '2.831', 'seg_loss': '0.8653', 'dino_loss': '0.9144', 'depth_loss': '0.2548', 'vggt_mse_loss': '0.2528', 'vggt_cos_loss': '0.02044', 'pidinet_loss': '0.1844', 'siglip_loss': '0.6121', 'epoch': '0.2799'} + 86%|█████████████████████████▉ | 7781/9000 [6:44:45<1:11:50, 3.54s/it][Dataset] cur_step=7782 phase=D_mixed_covt +[Dataset] cur_step=7782 phase=D_mixed_covt +[Dataset] cur_step=7782 phase=D_mixed_covt[Dataset] cur_step=7782 phase=D_mixed_covt[Dataset] cur_step=7782 phase=D_mixed_covt + +[Dataset] cur_step=7782 phase=D_mixed_covt + + 86%|█████████████████████████▉ | 7782/9000 [6:44:45<1:04:51, 3.20s/it][Dataset] cur_step=7782 phase=D_mixed_covt +[Dataset] cur_step=7782 phase=D_mixed_covt + {'loss': '3.312', 'grad_norm': '8.166', 'learning_rate': '2.462e-06', 'epoch': '0.28'} + 86%|█████████████████████████▉ | 7782/9000 [6:44:45<1:04:51, 3.20s/it] {'lm_loss': '0.107', 'visual_loss': '2.565', 'seg_loss': '0.6123', 'dino_loss': '0.8787', 'depth_loss': '0.2675', 'vggt_mse_loss': '0.2657', 'vggt_cos_loss': '0.018', 'pidinet_loss': '0.153', 'siglip_loss': '0.6534', 'epoch': '0.28'} + 86%|█████████████████████████▉ | 7782/9000 [6:44:47<1:04:51, 3.20s/it][Dataset] cur_step=7783 phase=D_mixed_covt +[Dataset] cur_step=7783 phase=D_mixed_covt +[Dataset] cur_step=7783 phase=D_mixed_covt +[Dataset] cur_step=7783 phase=D_mixed_covt[Dataset] cur_step=7783 phase=D_mixed_covt + + 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2.72s/it][Dataset] cur_step=7784 phase=D_mixed_covt +[Dataset] cur_step=7784 phase=D_mixed_covt + {'loss': '3.131', 'grad_norm': '2.981', 'learning_rate': '2.454e-06', 'epoch': '0.28'} + 86%|███████████████████████████▋ | 7784/9000 [6:44:50<55:10, 2.72s/it] {'lm_loss': '0.4039', 'visual_loss': '2.644', 'seg_loss': '0.7395', 'dino_loss': '0.9119', 'depth_loss': '0.2614', 'vggt_mse_loss': '0.2595', 'vggt_cos_loss': '0.01967', 'pidinet_loss': '0.2471', 'siglip_loss': '0.4837', 'epoch': '0.28'} + 86%|███████████████████████████▋ | 7784/9000 [6:44:52<55:10, 2.72s/it][Dataset] cur_step=7785 phase=D_mixed_covt +[Dataset] cur_step=7785 phase=D_mixed_covt +[Dataset] cur_step=7785 phase=D_mixed_covt[Dataset] cur_step=7785 phase=D_mixed_covt + +[Dataset] cur_step=7785 phase=D_mixed_covt +[Dataset] cur_step=7785 phase=D_mixed_covt + 86%|███████████████████████████▋ | 7785/9000 [6:44:53<58:43, 2.90s/it][Dataset] cur_step=7785 phase=D_mixed_covt +[Dataset] cur_step=7785 phase=D_mixed_covt + {'loss': '3.253', 'grad_norm': '3.654', 'learning_rate': '2.45e-06', 'epoch': '0.2801'} + 86%|███████████████████████████▋ | 7785/9000 [6:44:53<58:43, 2.90s/it] {'lm_loss': '0.8192', 'visual_loss': '2.531', 'seg_loss': '0.8041', 'dino_loss': '0.9222', 'depth_loss': '0.215', 'vggt_mse_loss': '0.2135', 'vggt_cos_loss': '0.0145', 'pidinet_loss': '0.2429', 'siglip_loss': '0.3468', 'epoch': '0.2801'} + 86%|███████████████████████████▋ | 7785/9000 [6:44:55<58:43, 2.90s/it][Dataset] cur_step=7786 phase=D_mixed_covt[Dataset] cur_step=7786 phase=D_mixed_covt + +[Dataset] cur_step=7786 phase=D_mixed_covt +[Dataset] cur_step=7786 phase=D_mixed_covt +[Dataset] cur_step=7786 phase=D_mixed_covt + 87%|███████████████████████████▋ | 7786/9000 [6:44:56<56:07, 2.77s/it][Dataset] cur_step=7786 phase=D_mixed_covt +[Dataset] cur_step=7786 phase=D_mixed_covt +[Dataset] cur_step=7786 phase=D_mixed_covt + {'loss': '3.365', 'grad_norm': '3.456', 'learning_rate': '2.446e-06', 'epoch': '0.2801'} + 87%|███████████████████████████▋ | 7786/9000 [6:44:56<56:07, 2.77s/it] {'lm_loss': '0.1035', 'visual_loss': '2.695', 'seg_loss': '0.8154', 'dino_loss': '0.9124', 'depth_loss': '0.2296', 'vggt_mse_loss': '0.2277', 'vggt_cos_loss': '0.01943', 'pidinet_loss': '0.2412', 'siglip_loss': '0.4962', 'epoch': '0.2801'} + 87%|███████████████████████████▋ | 7786/9000 [6:44:57<56:07, 2.77s/it][Dataset] cur_step=7787 phase=D_mixed_covt +[Dataset] cur_step=7787 phase=D_mixed_covt +[Dataset] cur_step=7787 phase=D_mixed_covt +[Dataset] cur_step=7787 phase=D_mixed_covt +[Dataset] cur_step=7787 phase=D_mixed_covt +[Dataset] cur_step=7787 phase=D_mixed_covt + 87%|███████████████████████████▋ | 7787/9000 [6:44:58<51:02, 2.52s/it][Dataset] cur_step=7787 phase=D_mixed_covt +[Dataset] cur_step=7787 phase=D_mixed_covt + {'loss': '3.213', 'grad_norm': '3.394', 'learning_rate': '2.442e-06', 'epoch': '0.2801'} + 87%|███████████████████████████▋ | 7787/9000 [6:44:58<51:02, 2.52s/it] {'lm_loss': '0.9587', 'visual_loss': '2.986', 'seg_loss': '0.6445', 'dino_loss': '0.9117', 'depth_loss': '0.3929', 'vggt_mse_loss': '0.39', 'vggt_cos_loss': '0.02907', 'pidinet_loss': '0.3228', 'siglip_loss': '0.7141', 'epoch': '0.2801'} + 87%|███████████████████████████▋ | 7787/9000 [6:45:00<51:02, 2.52s/it][Dataset] cur_step=7788 phase=D_mixed_covt +[Dataset] cur_step=7788 phase=D_mixed_covt +[Dataset] cur_step=7788 phase=D_mixed_covt +[Dataset] cur_step=7788 phase=D_mixed_covt +[Dataset] cur_step=7788 phase=D_mixed_covt[Dataset] cur_step=7788 phase=D_mixed_covt + +[Dataset] cur_step=7788 phase=D_mixed_covt +[Dataset] cur_step=7788 phase=D_mixed_covt + 87%|█████████████████████████▉ | 7788/9000 [6:45:03<1:09:38, 3.45s/it] {'loss': '3.164', 'grad_norm': '5.481', 'learning_rate': '2.438e-06', 'epoch': '0.2802'} + 87%|█████████████████████████▉ | 7788/9000 [6:45:03<1:09:38, 3.45s/it] {'lm_loss': '0.04052', 'visual_loss': '2.649', 'seg_loss': '0.7538', 'dino_loss': '0.9331', 'depth_loss': '0.1959', 'vggt_mse_loss': '0.1944', 'vggt_cos_loss': '0.01523', 'pidinet_loss': '0.2218', 'siglip_loss': '0.5448', 'epoch': '0.2802'} + 87%|█████████████████████████▉ | 7788/9000 [6:45:07<1:09:38, 3.45s/it][Dataset] cur_step=7789 phase=D_mixed_covt +[Dataset] cur_step=7789 phase=D_mixed_covt +[Dataset] cur_step=7789 phase=D_mixed_covt + 87%|█████████████████████████▉ | 7789/9000 [6:45:08<1:16:58, 3.81s/it][Dataset] cur_step=7789 phase=D_mixed_covt +[Dataset] cur_step=7789 phase=D_mixed_covt +[Dataset] cur_step=7789 phase=D_mixed_covt +[Dataset] cur_step=7789 phase=D_mixed_covt +[Dataset] cur_step=7789 phase=D_mixed_covt + {'loss': '2.865', 'grad_norm': '1.985', 'learning_rate': '2.434e-06', 'epoch': '0.2802'} + 87%|█████████████████████████▉ | 7789/9000 [6:45:08<1:16:58, 3.81s/it] {'lm_loss': '0.6422', 'visual_loss': '2.196', 'seg_loss': '0.5689', 'dino_loss': '0.8298', 'depth_loss': '0.1915', 'vggt_mse_loss': '0.1903', 'vggt_cos_loss': '0.01189', 'pidinet_loss': '0.1464', 'siglip_loss': '0.4591', 'epoch': '0.2802'} + 87%|█████████████████████████▉ | 7789/9000 [6:45:10<1:16:58, 3.81s/it][Dataset] cur_step=7790 phase=D_mixed_covt +[Dataset] cur_step=7790 phase=D_mixed_covt + 87%|█████████████████████████▉ | 7790/9000 [6:45:11<1:10:27, 3.49s/it][Dataset] cur_step=7790 phase=D_mixed_covt +[Dataset] cur_step=7790 phase=D_mixed_covt +[Dataset] cur_step=7790 phase=D_mixed_covt +[Dataset] cur_step=7790 phase=D_mixed_covt[Dataset] cur_step=7790 phase=D_mixed_covt + +[Dataset] cur_step=7790 phase=D_mixed_covt + {'loss': '3.352', 'grad_norm': '3.887', 'learning_rate': '2.43e-06', 'epoch': '0.2802'} + 87%|█████████████████████████▉ | 7790/9000 [6:45:11<1:10:27, 3.49s/it] {'lm_loss': '0.05711', 'visual_loss': '2.489', 'seg_loss': '0.5711', 'dino_loss': '0.9151', 'depth_loss': '0.1872', 'vggt_mse_loss': '0.1863', 'vggt_cos_loss': '0.009313', 'pidinet_loss': '0.2176', 'siglip_loss': '0.5979', 'epoch': '0.2802'} + 87%|█████████████████████████▉ | 7790/9000 [6:45:13<1:10:27, 3.49s/it][Dataset] cur_step=7791 phase=D_mixed_covt +[Dataset] cur_step=7791 phase=D_mixed_covt[Dataset] cur_step=7791 phase=D_mixed_covt + +[Dataset] cur_step=7791 phase=D_mixed_covt +[Dataset] cur_step=7791 phase=D_mixed_covt + 87%|█████████████████████████▉ | 7791/9000 [6:45:14<1:09:24, 3.44s/it][Dataset] cur_step=7791 phase=D_mixed_covt +[Dataset] cur_step=7791 phase=D_mixed_covt +[Dataset] cur_step=7791 phase=D_mixed_covt + {'loss': '3.116', 'grad_norm': '2.349', 'learning_rate': '2.426e-06', 'epoch': '0.2803'} + 87%|█████████████████████████▉ | 7791/9000 [6:45:14<1:09:24, 3.44s/it] {'lm_loss': '0.3105', 'visual_loss': '2.743', 'seg_loss': '0.7344', 'dino_loss': '0.9203', 'depth_loss': '0.2888', 'vggt_mse_loss': '0.2865', 'vggt_cos_loss': '0.02279', 'pidinet_loss': '0.2423', 'siglip_loss': '0.5568', 'epoch': '0.2803'} + 87%|█████████████████████████▉ | 7791/9000 [6:45:17<1:09:24, 3.44s/it][Dataset] cur_step=7792 phase=D_mixed_covt +[Dataset] cur_step=7792 phase=D_mixed_covt +[Dataset] cur_step=7792 phase=D_mixed_covt + 87%|█████████████████████████▉ | 7792/9000 [6:45:18<1:10:49, 3.52s/it][Dataset] cur_step=7792 phase=D_mixed_covt +[Dataset] cur_step=7792 phase=D_mixed_covt +[Dataset] cur_step=7792 phase=D_mixed_covt +[Dataset] cur_step=7792 phase=D_mixed_covt +[Dataset] cur_step=7792 phase=D_mixed_covt + {'loss': '3.16', 'grad_norm': '2.648', 'learning_rate': '2.423e-06', 'epoch': '0.2803'} + 87%|█████████████████████████▉ | 7792/9000 [6:45:18<1:10:49, 3.52s/it] {'lm_loss': '0.6533', 'visual_loss': '2.627', 'seg_loss': '0.7771', 'dino_loss': '0.9088', 'depth_loss': '0.1651', 'vggt_mse_loss': '0.1641', 'vggt_cos_loss': '0.01041', 'pidinet_loss': '0.236', 'siglip_loss': '0.54', 'epoch': '0.2803'} + 87%|█████████████████████████▉ | 7792/9000 [6:45:19<1:10:49, 3.52s/it][Dataset] cur_step=7793 phase=D_mixed_covt[Dataset] cur_step=7793 phase=D_mixed_covt + +[Dataset] cur_step=7793 phase=D_mixed_covt +[Dataset] cur_step=7793 phase=D_mixed_covt +[Dataset] cur_step=7793 phase=D_mixed_covt +[Dataset] cur_step=7793 phase=D_mixed_covt +[Dataset] cur_step=7793 phase=D_mixed_covt + 87%|█████████████████████████▉ | 7793/9000 [6:45:20<1:05:24, 3.25s/it][Dataset] cur_step=7793 phase=D_mixed_covt + {'loss': '3.447', 'grad_norm': '7.096', 'learning_rate': '2.419e-06', 'epoch': '0.2804'} + 87%|█████████████████████████▉ | 7793/9000 [6:45:20<1:05:24, 3.25s/it] {'lm_loss': '1.074', 'visual_loss': '2.664', 'seg_loss': '0.6284', 'dino_loss': '0.8954', 'depth_loss': '0.2584', 'vggt_mse_loss': '0.2567', 'vggt_cos_loss': '0.0176', 'pidinet_loss': '0.2814', 'siglip_loss': '0.6006', 'epoch': '0.2804'} + 87%|█████████████████████████▉ | 7793/9000 [6:45:23<1:05:24, 3.25s/it][Dataset] cur_step=7794 phase=D_mixed_covt +[Dataset] cur_step=7794 phase=D_mixed_covt +[Dataset] cur_step=7794 phase=D_mixed_covt[Dataset] cur_step=7794 phase=D_mixed_covt + +[Dataset] cur_step=7794 phase=D_mixed_covt[Dataset] cur_step=7794 phase=D_mixed_covt + +[Dataset] cur_step=7794 phase=D_mixed_covt + 87%|█████████████████████████▉ | 7794/9000 [6:45:23<1:04:38, 3.22s/it][Dataset] cur_step=7794 phase=D_mixed_covt + {'loss': '3.347', 'grad_norm': '2.757', 'learning_rate': '2.415e-06', 'epoch': '0.2804'} + 87%|█████████████████████████▉ | 7794/9000 [6:45:23<1:04:38, 3.22s/it] {'lm_loss': '0.9893', 'visual_loss': '2.186', 'seg_loss': '0.4364', 'dino_loss': '0.8782', 'depth_loss': '0.2238', 'vggt_mse_loss': '0.2221', 'vggt_cos_loss': '0.01664', 'pidinet_loss': '0.2615', 'siglip_loss': '0.3859', 'epoch': '0.2804'} + 87%|█████████████████████████▉ | 7794/9000 [6:45:25<1:04:38, 3.22s/it][Dataset] cur_step=7795 phase=D_mixed_covt +[Dataset] cur_step=7795 phase=D_mixed_covt +[Dataset] cur_step=7795 phase=D_mixed_covt +[Dataset] cur_step=7795 phase=D_mixed_covt[Dataset] cur_step=7795 phase=D_mixed_covt + +[Dataset] cur_step=7795 phase=D_mixed_covt + 87%|███████████████████████████▋ | 7795/9000 [6:45:25<57:49, 2.88s/it][Dataset] cur_step=7795 phase=D_mixed_covt +[Dataset] cur_step=7795 phase=D_mixed_covt + {'loss': '3.51', 'grad_norm': '5.411', 'learning_rate': '2.411e-06', 'epoch': '0.2804'} + 87%|███████████████████████████▋ | 7795/9000 [6:45:25<57:49, 2.88s/it] {'lm_loss': '0.9027', 'visual_loss': '2.932', 'seg_loss': '0.7811', 'dino_loss': '0.9154', 'depth_loss': '0.2859', 'vggt_mse_loss': '0.2841', 'vggt_cos_loss': '0.01848', 'pidinet_loss': '0.2723', 'siglip_loss': '0.6774', 'epoch': '0.2804'} + 87%|███████████████████████████▋ | 7795/9000 [6:45:28<57:49, 2.88s/it][Dataset] cur_step=7796 phase=D_mixed_covt +[Dataset] cur_step=7796 phase=D_mixed_covt[Dataset] cur_step=7796 phase=D_mixed_covt + +[Dataset] cur_step=7796 phase=D_mixed_covt 87%|███████████████████████████▋ | 7796/9000 [6:45:29<59:54, 2.99s/it] +[Dataset] cur_step=7796 phase=D_mixed_covt[Dataset] cur_step=7796 phase=D_mixed_covt + +[Dataset] cur_step=7796 phase=D_mixed_covt +[Dataset] cur_step=7796 phase=D_mixed_covt + {'loss': '3.174', 'grad_norm': '2.401', 'learning_rate': '2.407e-06', 'epoch': '0.2805'} + 87%|███████████████████████████▋ | 7796/9000 [6:45:29<59:54, 2.99s/it] {'lm_loss': '0.4277', 'visual_loss': '2.331', 'seg_loss': '0.805', 'dino_loss': '0.9099', 'depth_loss': '0.2055', 'vggt_mse_loss': '0.2043', 'vggt_cos_loss': '0.01218', 'pidinet_loss': '0.1118', 'siglip_loss': '0.2987', 'epoch': '0.2805'} + 87%|███████████████████████████▋ | 7796/9000 [6:45:32<59:54, 2.99s/it][Dataset] cur_step=7797 phase=D_mixed_covt +[Dataset] cur_step=7797 phase=D_mixed_covt +[Dataset] cur_step=7797 phase=D_mixed_covt[Dataset] cur_step=7797 phase=D_mixed_covt + + 87%|█████████████████████████▉ | 7797/9000 [6:45:33<1:07:35, 3.37s/it][Dataset] cur_step=7797 phase=D_mixed_covt +[Dataset] cur_step=7797 phase=D_mixed_covt +[Dataset] cur_step=7797 phase=D_mixed_covt +[Dataset] cur_step=7797 phase=D_mixed_covt + {'loss': '3.194', 'grad_norm': '16.47', 'learning_rate': '2.403e-06', 'epoch': '0.2805'} + 87%|█████████████████████████▉ | 7797/9000 [6:45:33<1:07:35, 3.37s/it] {'lm_loss': '0.3741', 'visual_loss': '2.621', 'seg_loss': '0.6197', 'dino_loss': '0.8571', 'depth_loss': '0.1763', 'vggt_mse_loss': '0.1748', 'vggt_cos_loss': '0.01553', 'pidinet_loss': '0.3053', 'siglip_loss': '0.6625', 'epoch': '0.2805'} + 87%|█████████████████████████▉ | 7797/9000 [6:45:36<1:07:35, 3.37s/it][Dataset] cur_step=7798 phase=D_mixed_covt +[Dataset] cur_step=7798 phase=D_mixed_covt + 87%|█████████████████████████▉ | 7798/9000 [6:45:37<1:12:54, 3.64s/it][Dataset] cur_step=7798 phase=D_mixed_covt +[Dataset] cur_step=7798 phase=D_mixed_covt +[Dataset] cur_step=7798 phase=D_mixed_covt +[Dataset] cur_step=7798 phase=D_mixed_covt +[Dataset] cur_step=7798 phase=D_mixed_covt +[Dataset] cur_step=7798 phase=D_mixed_covt + {'loss': '3.192', 'grad_norm': '2.229', 'learning_rate': '2.399e-06', 'epoch': '0.2805'} + 87%|█████████████████████████▉ | 7798/9000 [6:45:37<1:12:54, 3.64s/it] {'lm_loss': '0.06639', 'visual_loss': '2.943', 'seg_loss': '0.8975', 'dino_loss': '0.9186', 'depth_loss': '0.2292', 'vggt_mse_loss': '0.2274', 'vggt_cos_loss': '0.01815', 'pidinet_loss': '0.1758', 'siglip_loss': '0.7222', 'epoch': '0.2805'} + 87%|█████████████████████████▉ | 7798/9000 [6:45:39<1:12:54, 3.64s/it][Dataset] cur_step=7799 phase=D_mixed_covt +[Dataset] cur_step=7799 phase=D_mixed_covt +[Dataset] cur_step=7799 phase=D_mixed_covt +[Dataset] cur_step=7799 phase=D_mixed_covt +[Dataset] cur_step=7799 phase=D_mixed_covt +[Dataset] cur_step=7799 phase=D_mixed_covt +[Dataset] cur_step=7799 phase=D_mixed_covt + 87%|█████████████████████████▉ | 7799/9000 [6:45:40<1:06:31, 3.32s/it][Dataset] cur_step=7799 phase=D_mixed_covt + {'loss': '3.399', 'grad_norm': '2.249', 'learning_rate': '2.395e-06', 'epoch': '0.2806'} + 87%|█████████████████████████▉ | 7799/9000 [6:45:40<1:06:31, 3.32s/it] {'lm_loss': '0.08129', 'visual_loss': '2.602', 'seg_loss': '0.7326', 'dino_loss': '0.8261', 'depth_loss': '0.2066', 'vggt_mse_loss': '0.2051', 'vggt_cos_loss': '0.01477', 'pidinet_loss': '0.1315', 'siglip_loss': '0.7048', 'epoch': '0.2806'} + 87%|█████████████████████████▉ | 7799/9000 [6:45:46<1:06:31, 3.32s/it][Dataset] cur_step=7800 phase=D_mixed_covt + 87%|██████████████████████████ | 7800/9000 [6:45:47<1:27:22, 4.37s/it][Dataset] cur_step=7800 phase=D_mixed_covt +[Dataset] cur_step=7800 phase=D_mixed_covt +[Dataset] cur_step=7800 phase=D_mixed_covt +[Dataset] cur_step=7800 phase=D_mixed_covt +[Dataset] cur_step=7800 phase=D_mixed_covt +[Dataset] cur_step=7800 phase=D_mixed_covt +[Dataset] cur_step=7800 phase=D_mixed_covt + {'loss': '2.982', 'grad_norm': '3.042', 'learning_rate': '2.391e-06', 'epoch': '0.2806'} + 87%|██████████████████████████ | 7800/9000 [6:45:47<1:27:22, 4.37s/it] {'lm_loss': '0.9605', 'visual_loss': '2.193', 'seg_loss': '0.482', 'dino_loss': '0.8803', 'depth_loss': '0.1744', 'vggt_mse_loss': '0.1734', 'vggt_cos_loss': '0.01055', 'pidinet_loss': '0.2608', 'siglip_loss': '0.395', 'epoch': '0.2806'} + 87%|██████████████████████████ | 7800/9000 [6:45:49<1:27:22, 4.37s/it][Dataset] cur_step=7801 phase=D_mixed_covt +[Dataset] cur_step=7801 phase=D_mixed_covt +[Dataset] cur_step=7801 phase=D_mixed_covt 87%|██████████████████████████ | 7801/9000 [6:45:49<1:15:16, 3.77s/it] +[Dataset] cur_step=7801 phase=D_mixed_covt +[Dataset] cur_step=7801 phase=D_mixed_covt +[Dataset] cur_step=7801 phase=D_mixed_covt +[Dataset] cur_step=7801 phase=D_mixed_covt +[Dataset] cur_step=7801 phase=D_mixed_covt + {'loss': '3.256', 'grad_norm': '2.393', 'learning_rate': '2.387e-06', 'epoch': '0.2806'} + 87%|██████████████████████████ | 7801/9000 [6:45:49<1:15:16, 3.77s/it] {'lm_loss': '0.5442', 'visual_loss': '3.081', 'seg_loss': '0.7467', 'dino_loss': '0.972', 'depth_loss': '0.3379', 'vggt_mse_loss': '0.3342', 'vggt_cos_loss': '0.03663', 'pidinet_loss': '0.2488', 'siglip_loss': '0.7758', 'epoch': '0.2806'} + 87%|██████████████████████████ | 7801/9000 [6:45:51<1:15:16, 3.77s/it][Dataset] cur_step=7802 phase=D_mixed_covt +[Dataset] cur_step=7802 phase=D_mixed_covt +[Dataset] cur_step=7802 phase=D_mixed_covt +[Dataset] cur_step=7802 phase=D_mixed_covt +[Dataset] cur_step=7802 phase=D_mixed_covt +[Dataset] cur_step=7802 phase=D_mixed_covt +[Dataset] cur_step=7802 phase=D_mixed_covt[Dataset] cur_step=7802 phase=D_mixed_covt + + 87%|██████████████████████████ | 7802/9000 [6:45:52<1:07:57, 3.40s/it] {'loss': '3.211', 'grad_norm': '2.569', 'learning_rate': '2.383e-06', 'epoch': '0.2807'} + 87%|██████████████████████████ | 7802/9000 [6:45:52<1:07:57, 3.40s/it] {'lm_loss': '0.9879', 'visual_loss': '2.975', 'seg_loss': '0.7115', 'dino_loss': '0.8993', 'depth_loss': '0.1355', 'vggt_mse_loss': '0.1345', 'vggt_cos_loss': '0.01022', 'pidinet_loss': '0.3359', 'siglip_loss': '0.8933', 'epoch': '0.2807'} + 87%|██████████████████████████ | 7802/9000 [6:45:53<1:07:57, 3.40s/it][Dataset] cur_step=7803 phase=D_mixed_covt +[Dataset] cur_step=7803 phase=D_mixed_covt +[Dataset] cur_step=7803 phase=D_mixed_covt[Dataset] cur_step=7803 phase=D_mixed_covt +[Dataset] cur_step=7803 phase=D_mixed_covt + +[Dataset] cur_step=7803 phase=D_mixed_covt + 87%|███████████████████████████▋ | 7803/9000 [6:45:53<58:23, 2.93s/it][Dataset] cur_step=7803 phase=D_mixed_covt +[Dataset] cur_step=7803 phase=D_mixed_covt + {'loss': '3.603', 'grad_norm': '4.265', 'learning_rate': '2.379e-06', 'epoch': '0.2807'} + 87%|███████████████████████████▋ | 7803/9000 [6:45:53<58:23, 2.93s/it] {'lm_loss': '0.3688', 'visual_loss': '2.85', 'seg_loss': '0.7413', 'dino_loss': '0.925', 'depth_loss': '0.2305', 'vggt_mse_loss': '0.2289', 'vggt_cos_loss': '0.01658', 'pidinet_loss': '0.2443', 'siglip_loss': '0.7093', 'epoch': '0.2807'} + 87%|███████████████████████████▋ | 7803/9000 [6:45:55<58:23, 2.93s/it][Dataset] cur_step=7804 phase=D_mixed_covt +[Dataset] cur_step=7804 phase=D_mixed_covt +[Dataset] cur_step=7804 phase=D_mixed_covt +[Dataset] cur_step=7804 phase=D_mixed_covt +[Dataset] cur_step=7804 phase=D_mixed_covt +[Dataset] cur_step=7804 phase=D_mixed_covt +[Dataset] cur_step=7804 phase=D_mixed_covt + 87%|███████████████████████████▋ | 7804/9000 [6:45:56<57:37, 2.89s/it][Dataset] cur_step=7804 phase=D_mixed_covt + {'loss': '3.227', 'grad_norm': '2.55', 'learning_rate': '2.375e-06', 'epoch': '0.2807'} + 87%|███████████████████████████▋ | 7804/9000 [6:45:56<57:37, 2.89s/it] {'lm_loss': '0.4684', 'visual_loss': '2.921', 'seg_loss': '0.7922', 'dino_loss': '0.917', 'depth_loss': '0.2971', 'vggt_mse_loss': '0.2954', 'vggt_cos_loss': '0.01746', 'pidinet_loss': '0.1949', 'siglip_loss': '0.7195', 'epoch': '0.2807'} + 87%|███████████████████████████▋ | 7804/9000 [6:45:58<57:37, 2.89s/it][Dataset] cur_step=7805 phase=D_mixed_covt[Dataset] cur_step=7805 phase=D_mixed_covt + +[Dataset] cur_step=7805 phase=D_mixed_covt +[Dataset] cur_step=7805 phase=D_mixed_covt +[Dataset] cur_step=7805 phase=D_mixed_covt 87%|███████████████████████████▊ | 7805/9000 [6:45:59<54:38, 2.74s/it] +[Dataset] cur_step=7805 phase=D_mixed_covt +[Dataset] cur_step=7805 phase=D_mixed_covt +[Dataset] cur_step=7805 phase=D_mixed_covt + {'loss': '3.384', 'grad_norm': '3.034', 'learning_rate': '2.372e-06', 'epoch': '0.2808'} + 87%|███████████████████████████▊ | 7805/9000 [6:45:59<54:38, 2.74s/it] {'lm_loss': '0.5617', 'visual_loss': '2.682', 'seg_loss': '0.6609', 'dino_loss': '0.9669', 'depth_loss': '0.2682', 'vggt_mse_loss': '0.2666', 'vggt_cos_loss': '0.01615', 'pidinet_loss': '0.2476', 'siglip_loss': '0.5384', 'epoch': '0.2808'} + 87%|███████████████████████████▊ | 7805/9000 [6:46:01<54:38, 2.74s/it][Dataset] cur_step=7806 phase=D_mixed_covt +[Dataset] cur_step=7806 phase=D_mixed_covt +[Dataset] cur_step=7806 phase=D_mixed_covt +[Dataset] cur_step=7806 phase=D_mixed_covt +[Dataset] cur_step=7806 phase=D_mixed_covt 87%|███████████████████████████▊ | 7806/9000 [6:46:01<54:32, 2.74s/it] +[Dataset] cur_step=7806 phase=D_mixed_covt +[Dataset] cur_step=7806 phase=D_mixed_covt[Dataset] cur_step=7806 phase=D_mixed_covt + + {'loss': '3.432', 'grad_norm': '2.97', 'learning_rate': '2.368e-06', 'epoch': '0.2808'} + 87%|███████████████████████████▊ | 7806/9000 [6:46:01<54:32, 2.74s/it] {'lm_loss': '1.156', 'visual_loss': '2.344', 'seg_loss': '0.6803', 'dino_loss': '0.9361', 'depth_loss': '0.2242', 'vggt_mse_loss': '0.2226', 'vggt_cos_loss': '0.01591', 'pidinet_loss': '0', 'siglip_loss': '0.5031', 'epoch': '0.2808'} + 87%|███████████████████████████▊ | 7806/9000 [6:46:04<54:32, 2.74s/it][Dataset] cur_step=7807 phase=D_mixed_covt[Dataset] cur_step=7807 phase=D_mixed_covt + +[Dataset] cur_step=7807 phase=D_mixed_covt +[Dataset] cur_step=7807 phase=D_mixed_covt[Dataset] cur_step=7807 phase=D_mixed_covt + +[Dataset] cur_step=7807 phase=D_mixed_covt +[Dataset] cur_step=7807 phase=D_mixed_covt + 87%|███████████████████████████▊ | 7807/9000 [6:46:05<57:55, 2.91s/it][Dataset] cur_step=7807 phase=D_mixed_covt + {'loss': '3', 'grad_norm': '4.281', 'learning_rate': '2.364e-06', 'epoch': '0.2809'} + 87%|███████████████████████████▊ | 7807/9000 [6:46:05<57:55, 2.91s/it] {'lm_loss': '0.05419', 'visual_loss': '2.79', 'seg_loss': '0.9558', 'dino_loss': '0.8778', 'depth_loss': '0.2204', 'vggt_mse_loss': '0.2185', 'vggt_cos_loss': '0.01848', 'pidinet_loss': '0.2238', 'siglip_loss': '0.5126', 'epoch': '0.2809'} + 87%|███████████████████████████▊ | 7807/9000 [6:46:06<57:55, 2.91s/it][Dataset] cur_step=7808 phase=D_mixed_covt +[Dataset] cur_step=7808 phase=D_mixed_covt[Dataset] cur_step=7808 phase=D_mixed_covt + +[Dataset] cur_step=7808 phase=D_mixed_covt +[Dataset] cur_step=7808 phase=D_mixed_covt +[Dataset] cur_step=7808 phase=D_mixed_covt +[Dataset] cur_step=7808 phase=D_mixed_covt +[Dataset] cur_step=7808 phase=D_mixed_covt + 87%|███████████████████████████▊ | 7808/9000 [6:46:07<57:07, 2.88s/it] {'loss': '3.111', 'grad_norm': '2.802', 'learning_rate': '2.36e-06', 'epoch': '0.2809'} + 87%|███████████████████████████▊ | 7808/9000 [6:46:07<57:07, 2.88s/it] {'lm_loss': '0.9092', 'visual_loss': '2.007', 'seg_loss': '0.5695', 'dino_loss': '0.868', 'depth_loss': '0.1681', 'vggt_mse_loss': '0.167', 'vggt_cos_loss': '0.01086', 'pidinet_loss': '0', 'siglip_loss': '0.4015', 'epoch': '0.2809'} + 87%|███████████████████████████▊ | 7808/9000 [6:46:10<57:07, 2.88s/it][Dataset] cur_step=7809 phase=D_mixed_covt[Dataset] cur_step=7809 phase=D_mixed_covt +[Dataset] cur_step=7809 phase=D_mixed_covt + + 87%|███████████████████████████▊ | 7809/9000 [6:46:10<54:51, 2.76s/it][Dataset] cur_step=7809 phase=D_mixed_covt +[Dataset] cur_step=7809 phase=D_mixed_covt +[Dataset] cur_step=7809 phase=D_mixed_covt +[Dataset] cur_step=7809 phase=D_mixed_covt +[Dataset] cur_step=7809 phase=D_mixed_covt + {'loss': '3.091', 'grad_norm': '3.536', 'learning_rate': '2.356e-06', 'epoch': '0.2809'} + 87%|███████████████████████████▊ | 7809/9000 [6:46:10<54:51, 2.76s/it] {'lm_loss': '0.4818', 'visual_loss': '3.169', 'seg_loss': '0.7429', 'dino_loss': '0.9285', 'depth_loss': '0.4251', 'vggt_mse_loss': '0.421', 'vggt_cos_loss': '0.04115', 'pidinet_loss': '0.2794', 'siglip_loss': '0.7933', 'epoch': '0.2809'} + 87%|███████████████████████████▊ | 7809/9000 [6:46:12<54:51, 2.76s/it][Dataset] cur_step=7810 phase=D_mixed_covt +[Dataset] cur_step=7810 phase=D_mixed_covt +[Dataset] cur_step=7810 phase=D_mixed_covt +[Dataset] cur_step=7810 phase=D_mixed_covt + 87%|███████████████████████████▊ | 7810/9000 [6:46:13<58:08, 2.93s/it][Dataset] cur_step=7810 phase=D_mixed_covt +[Dataset] cur_step=7810 phase=D_mixed_covt +[Dataset] cur_step=7810 phase=D_mixed_covt +[Dataset] cur_step=7810 phase=D_mixed_covt + {'loss': '3.167', 'grad_norm': '2.682', 'learning_rate': '2.352e-06', 'epoch': '0.281'} + 87%|███████████████████████████▊ | 7810/9000 [6:46:13<58:08, 2.93s/it] {'lm_loss': '0.3103', 'visual_loss': '2.164', 'seg_loss': '0.8386', 'dino_loss': '0.8975', 'depth_loss': '0.218', 'vggt_mse_loss': '0.2162', 'vggt_cos_loss': '0.01776', 'pidinet_loss': '0.2098', 'siglip_loss': '0', 'epoch': '0.281'} + 87%|███████████████████████████▊ | 7810/9000 [6:46:15<58:08, 2.93s/it][Dataset] cur_step=7811 phase=D_mixed_covt +[Dataset] cur_step=7811 phase=D_mixed_covt +[Dataset] cur_step=7811 phase=D_mixed_covt + 87%|███████████████████████████▊ | 7811/9000 [6:46:16<59:53, 3.02s/it][Dataset] cur_step=7811 phase=D_mixed_covt +[Dataset] cur_step=7811 phase=D_mixed_covt +[Dataset] cur_step=7811 phase=D_mixed_covt +[Dataset] cur_step=7811 phase=D_mixed_covt +[Dataset] cur_step=7811 phase=D_mixed_covt + {'loss': '2.604', 'grad_norm': '4.172', 'learning_rate': '2.348e-06', 'epoch': '0.281'} + 87%|███████████████████████████▊ | 7811/9000 [6:46:17<59:53, 3.02s/it] {'lm_loss': '0.1871', 'visual_loss': '2.694', 'seg_loss': '0.8397', 'dino_loss': '0.9247', 'depth_loss': '0.2415', 'vggt_mse_loss': '0.2401', 'vggt_cos_loss': '0.01358', 'pidinet_loss': '0.1761', 'siglip_loss': '0.5119', 'epoch': '0.281'} + 87%|███████████████████████████▊ | 7811/9000 [6:46:18<59:53, 3.02s/it][Dataset] cur_step=7812 phase=D_mixed_covt +[Dataset] cur_step=7812 phase=D_mixed_covt +[Dataset] cur_step=7812 phase=D_mixed_covt +[Dataset] cur_step=7812 phase=D_mixed_covt +[Dataset] cur_step=7812 phase=D_mixed_covt +[Dataset] cur_step=7812 phase=D_mixed_covt +[Dataset] cur_step=7812 phase=D_mixed_covt + 87%|███████████████████████████▊ | 7812/9000 [6:46:19<58:13, 2.94s/it][Dataset] cur_step=7812 phase=D_mixed_covt + {'loss': '3.112', 'grad_norm': '2.999', 'learning_rate': '2.344e-06', 'epoch': '0.281'} + 87%|███████████████████████████▊ | 7812/9000 [6:46:19<58:13, 2.94s/it] {'lm_loss': '0.1104', 'visual_loss': '2.403', 'seg_loss': '0.6289', 'dino_loss': '0.9002', 'depth_loss': '0.2583', 'vggt_mse_loss': '0.2569', 'vggt_cos_loss': '0.01318', 'pidinet_loss': '0.3027', 'siglip_loss': '0.313', 'epoch': '0.281'} + 87%|███████████████████████████▊ | 7812/9000 [6:46:22<58:13, 2.94s/it][Dataset] cur_step=7813 phase=D_mixed_covt +[Dataset] cur_step=7813 phase=D_mixed_covt +[Dataset] cur_step=7813 phase=D_mixed_covt +[Dataset] cur_step=7813 phase=D_mixed_covt +[Dataset] cur_step=7813 phase=D_mixed_covt +[Dataset] cur_step=7813 phase=D_mixed_covt +[Dataset] cur_step=7813 phase=D_mixed_covt + 87%|███████████████████████████▊ | 7813/9000 [6:46:22<58:48, 2.97s/it][Dataset] cur_step=7813 phase=D_mixed_covt + {'loss': '2.889', 'grad_norm': '2.177', 'learning_rate': '2.34e-06', 'epoch': '0.2811'} + 87%|███████████████████████████▊ | 7813/9000 [6:46:22<58:48, 2.97s/it] {'lm_loss': '1.027', 'visual_loss': '2.677', 'seg_loss': '0.7216', 'dino_loss': '0.9343', 'depth_loss': '0.2086', 'vggt_mse_loss': '0.2071', 'vggt_cos_loss': '0.01542', 'pidinet_loss': '0.1771', 'siglip_loss': '0.6358', 'epoch': '0.2811'} + 87%|███████████████████████████▊ | 7813/9000 [6:46:23<58:48, 2.97s/it][Dataset] cur_step=7814 phase=D_mixed_covt +[Dataset] cur_step=7814 phase=D_mixed_covt +[Dataset] cur_step=7814 phase=D_mixed_covt +[Dataset] cur_step=7814 phase=D_mixed_covt +[Dataset] cur_step=7814 phase=D_mixed_covt +[Dataset] cur_step=7814 phase=D_mixed_covt +[Dataset] cur_step=7814 phase=D_mixed_covt + 87%|███████████████████████████▊ | 7814/9000 [6:46:24<51:32, 2.61s/it][Dataset] cur_step=7814 phase=D_mixed_covt + {'loss': '3.157', 'grad_norm': '3.938', 'learning_rate': '2.336e-06', 'epoch': '0.2811'} + 87%|███████████████████████████▊ | 7814/9000 [6:46:24<51:32, 2.61s/it] {'lm_loss': '0.61', 'visual_loss': '2.781', 'seg_loss': '0.6972', 'dino_loss': '0.9188', 'depth_loss': '0.2414', 'vggt_mse_loss': '0.24', 'vggt_cos_loss': '0.01383', 'pidinet_loss': '0.1713', 'siglip_loss': '0.7525', 'epoch': '0.2811'} + 87%|███████████████████████████▊ | 7814/9000 [6:46:27<51:32, 2.61s/it][Dataset] cur_step=7815 phase=D_mixed_covt +[Dataset] cur_step=7815 phase=D_mixed_covt +[Dataset] cur_step=7815 phase=D_mixed_covt +[Dataset] cur_step=7815 phase=D_mixed_covt +[Dataset] cur_step=7815 phase=D_mixed_covt + 87%|███████████████████████████▊ | 7815/9000 [6:46:28<59:47, 3.03s/it][Dataset] cur_step=7815 phase=D_mixed_covt[Dataset] cur_step=7815 phase=D_mixed_covt + +[Dataset] cur_step=7815 phase=D_mixed_covt + {'loss': '3.317', 'grad_norm': '2.302', 'learning_rate': '2.333e-06', 'epoch': '0.2811'} + 87%|███████████████████████████▊ | 7815/9000 [6:46:28<59:47, 3.03s/it] {'lm_loss': '0.9849', 'visual_loss': '1.776', 'seg_loss': '0', 'dino_loss': '0.9023', 'depth_loss': '0.328', 'vggt_mse_loss': '0.3253', 'vggt_cos_loss': '0.02623', 'pidinet_loss': '0.2297', 'siglip_loss': '0.3157', 'epoch': '0.2811'} + 87%|███████████████████████████▊ | 7815/9000 [6:46:29<59:47, 3.03s/it][Dataset] cur_step=7816 phase=D_mixed_covt +[Dataset] cur_step=7816 phase=D_mixed_covt[Dataset] cur_step=7816 phase=D_mixed_covt + +[Dataset] cur_step=7816 phase=D_mixed_covt[Dataset] cur_step=7816 phase=D_mixed_covt + + 87%|███████████████████████████▊ | 7816/9000 [6:46:29<48:57, 2.48s/it][Dataset] cur_step=7816 phase=D_mixed_covt +[Dataset] cur_step=7816 phase=D_mixed_covt +[Dataset] cur_step=7816 phase=D_mixed_covt + {'loss': '2.873', 'grad_norm': '9.617', 'learning_rate': '2.329e-06', 'epoch': '0.2812'} + 87%|███████████████████████████▊ | 7816/9000 [6:46:29<48:57, 2.48s/it] {'lm_loss': '0.7624', 'visual_loss': '2.222', 'seg_loss': '0', 'dino_loss': '0.8803', 'depth_loss': '0.2707', 'vggt_mse_loss': '0.269', 'vggt_cos_loss': '0.01765', 'pidinet_loss': '0.3299', 'siglip_loss': '0.7411', 'epoch': '0.2812'} + 87%|███████████████████████████▊ | 7816/9000 [6:46:30<48:57, 2.48s/it][Dataset] cur_step=7817 phase=D_mixed_covt +[Dataset] cur_step=7817 phase=D_mixed_covt +[Dataset] cur_step=7817 phase=D_mixed_covt +[Dataset] cur_step=7817 phase=D_mixed_covt 87%|███████████████████████████▊ | 7817/9000 [6:46:31<41:43, 2.12s/it] +[Dataset] cur_step=7817 phase=D_mixed_covt +[Dataset] cur_step=7817 phase=D_mixed_covt +[Dataset] cur_step=7817 phase=D_mixed_covt +[Dataset] cur_step=7817 phase=D_mixed_covt + {'loss': '2.534', 'grad_norm': '2.018', 'learning_rate': '2.325e-06', 'epoch': '0.2812'} + 87%|███████████████████████████▊ | 7817/9000 [6:46:31<41:43, 2.12s/it] {'lm_loss': '0.6766', 'visual_loss': '2.735', 'seg_loss': '0.7128', 'dino_loss': '0.9019', 'depth_loss': '0.2336', 'vggt_mse_loss': '0.2318', 'vggt_cos_loss': '0.01778', 'pidinet_loss': '0.2205', 'siglip_loss': '0.6661', 'epoch': '0.2812'} + 87%|███████████████████████████▊ | 7817/9000 [6:46:32<41:43, 2.12s/it][Dataset] cur_step=7818 phase=D_mixed_covt +[Dataset] cur_step=7818 phase=D_mixed_covt +[Dataset] cur_step=7818 phase=D_mixed_covt +[Dataset] cur_step=7818 phase=D_mixed_covt +[Dataset] cur_step=7818 phase=D_mixed_covt +[Dataset] cur_step=7818 phase=D_mixed_covt[Dataset] cur_step=7818 phase=D_mixed_covt + + 87%|███████████████████████████▊ | 7818/9000 [6:46:33<44:09, 2.24s/it][Dataset] cur_step=7818 phase=D_mixed_covt + {'loss': '3.334', 'grad_norm': '2.932', 'learning_rate': '2.321e-06', 'epoch': '0.2813'} + 87%|███████████████████████████▊ | 7818/9000 [6:46:33<44:09, 2.24s/it] {'lm_loss': '0.04907', 'visual_loss': '2.301', 'seg_loss': '0.6543', 'dino_loss': '0.8774', 'depth_loss': '0.251', 'vggt_mse_loss': '0.2498', 'vggt_cos_loss': '0.01224', 'pidinet_loss': '0.09798', 'siglip_loss': '0.4205', 'epoch': '0.2813'} + 87%|███████████████████████████▊ | 7818/9000 [6:46:36<44:09, 2.24s/it][Dataset] cur_step=7819 phase=D_mixed_covt + 87%|███████████████████████████▊ | 7819/9000 [6:46:37<51:41, 2.63s/it][Dataset] cur_step=7819 phase=D_mixed_covt[Dataset] cur_step=7819 phase=D_mixed_covt[Dataset] cur_step=7819 phase=D_mixed_covt + + +[Dataset] cur_step=7819 phase=D_mixed_covt +[Dataset] cur_step=7819 phase=D_mixed_covt +[Dataset] cur_step=7819 phase=D_mixed_covt +[Dataset] cur_step=7819 phase=D_mixed_covt + {'loss': '3.153', 'grad_norm': '2.896', 'learning_rate': '2.317e-06', 'epoch': '0.2813'} + 87%|███████████████████████████▊ | 7819/9000 [6:46:37<51:41, 2.63s/it] {'lm_loss': '0.8525', 'visual_loss': '2.572', 'seg_loss': '0.7512', 'dino_loss': '0.917', 'depth_loss': '0.2612', 'vggt_mse_loss': '0.2596', 'vggt_cos_loss': '0.0162', 'pidinet_loss': '0.2054', 'siglip_loss': '0.4373', 'epoch': '0.2813'} + 87%|███████████████████████████▊ | 7819/9000 [6:46:39<51:41, 2.63s/it][Dataset] cur_step=7820 phase=D_mixed_covt +[Dataset] cur_step=7820 phase=D_mixed_covt +[Dataset] cur_step=7820 phase=D_mixed_covt +[Dataset] cur_step=7820 phase=D_mixed_covt +[Dataset] cur_step=7820 phase=D_mixed_covt +[Dataset] cur_step=7820 phase=D_mixed_covt + 87%|███████████████████████████▊ | 7820/9000 [6:46:40<56:58, 2.90s/it][Dataset] cur_step=7820 phase=D_mixed_covt +[Dataset] cur_step=7820 phase=D_mixed_covt + {'loss': '3.281', 'grad_norm': '2.846', 'learning_rate': '2.313e-06', 'epoch': '0.2813'} + 87%|███████████████████████████▊ | 7820/9000 [6:46:40<56:58, 2.90s/it] {'lm_loss': '0.9659', 'visual_loss': '2.652', 'seg_loss': '0.6609', 'dino_loss': '0.9241', 'depth_loss': '0.1673', 'vggt_mse_loss': '0.1665', 'vggt_cos_loss': '0.008462', 'pidinet_loss': '0.2721', 'siglip_loss': '0.628', 'epoch': '0.2813'} + 87%|███████████████████████████▊ | 7820/9000 [6:46:43<56:58, 2.90s/it][Dataset] cur_step=7821 phase=D_mixed_covt +[Dataset] cur_step=7821 phase=D_mixed_covt +[Dataset] cur_step=7821 phase=D_mixed_covt +[Dataset] cur_step=7821 phase=D_mixed_covt[Dataset] cur_step=7821 phase=D_mixed_covt + + 87%|██████████████████████████ | 7821/9000 [6:46:44<1:02:57, 3.20s/it][Dataset] cur_step=7821 phase=D_mixed_covt +[Dataset] cur_step=7821 phase=D_mixed_covt +[Dataset] cur_step=7821 phase=D_mixed_covt + {'loss': '3.294', 'grad_norm': '2.286', 'learning_rate': '2.309e-06', 'epoch': '0.2814'} + 87%|██████████████████████████ | 7821/9000 [6:46:44<1:02:57, 3.20s/it] {'lm_loss': '0.0698', 'visual_loss': '2.714', 'seg_loss': '0.7274', 'dino_loss': '0.8851', 'depth_loss': '0.2451', 'vggt_mse_loss': '0.2431', 'vggt_cos_loss': '0.02027', 'pidinet_loss': '0.2767', 'siglip_loss': '0.5796', 'epoch': '0.2814'} + 87%|██████████████████████████ | 7821/9000 [6:46:46<1:02:57, 3.20s/it][Dataset] cur_step=7822 phase=D_mixed_covt +[Dataset] cur_step=7822 phase=D_mixed_covt +[Dataset] cur_step=7822 phase=D_mixed_covt +[Dataset] cur_step=7822 phase=D_mixed_covt +[Dataset] cur_step=7822 phase=D_mixed_covt +[Dataset] cur_step=7822 phase=D_mixed_covt + 87%|██████████████████████████ | 7822/9000 [6:46:47<1:00:30, 3.08s/it][Dataset] cur_step=7822 phase=D_mixed_covt +[Dataset] cur_step=7822 phase=D_mixed_covt + {'loss': '3.125', 'grad_norm': '7.202', 'learning_rate': '2.306e-06', 'epoch': '0.2814'} + 87%|██████████████████████████ | 7822/9000 [6:46:47<1:00:30, 3.08s/it] {'lm_loss': '0.6104', 'visual_loss': '2.712', 'seg_loss': '0.8493', 'dino_loss': '0.8929', 'depth_loss': '0.1409', 'vggt_mse_loss': '0.1398', 'vggt_cos_loss': '0.01087', 'pidinet_loss': '0.3498', 'siglip_loss': '0.4795', 'epoch': '0.2814'} + 87%|██████████████████████████ | 7822/9000 [6:46:49<1:00:30, 3.08s/it][Dataset] cur_step=7823 phase=D_mixed_covt +[Dataset] cur_step=7823 phase=D_mixed_covt +[Dataset] cur_step=7823 phase=D_mixed_covt[Dataset] cur_step=7823 phase=D_mixed_covt + +[Dataset] cur_step=7823 phase=D_mixed_covt +[Dataset] cur_step=7823 phase=D_mixed_covt +[Dataset] cur_step=7823 phase=D_mixed_covt + 87%|██████████████████████████ | 7823/9000 [6:46:50<1:02:03, 3.16s/it][Dataset] cur_step=7823 phase=D_mixed_covt + {'loss': '3.214', 'grad_norm': '9.604', 'learning_rate': '2.302e-06', 'epoch': '0.2814'} + 87%|██████████████████████████ | 7823/9000 [6:46:50<1:02:03, 3.16s/it] {'lm_loss': '0.3468', 'visual_loss': '2.891', 'seg_loss': '0.6805', 'dino_loss': '0.9565', 'depth_loss': '0.1984', 'vggt_mse_loss': '0.197', 'vggt_cos_loss': '0.01413', 'pidinet_loss': '0.2419', 'siglip_loss': '0.8133', 'epoch': '0.2814'} + 87%|██████████████████████████ | 7823/9000 [6:46:53<1:02:03, 3.16s/it][Dataset] cur_step=7824 phase=D_mixed_covt +[Dataset] cur_step=7824 phase=D_mixed_covt +[Dataset] cur_step=7824 phase=D_mixed_covt +[Dataset] cur_step=7824 phase=D_mixed_covt +[Dataset] cur_step=7824 phase=D_mixed_covt +[Dataset] cur_step=7824 phase=D_mixed_covt +[Dataset] cur_step=7824 phase=D_mixed_covt + 87%|██████████████████████████ | 7824/9000 [6:46:54<1:05:30, 3.34s/it][Dataset] cur_step=7824 phase=D_mixed_covt + {'loss': '3.136', 'grad_norm': '3.174', 'learning_rate': '2.298e-06', 'epoch': '0.2815'} + 87%|██████████████████████████ | 7824/9000 [6:46:54<1:05:30, 3.34s/it] {'lm_loss': '0.4499', 'visual_loss': '2.744', 'seg_loss': '0.857', 'dino_loss': '0.9189', 'depth_loss': '0.1877', 'vggt_mse_loss': '0.1864', 'vggt_cos_loss': '0.01298', 'pidinet_loss': '0.2231', 'siglip_loss': '0.5574', 'epoch': '0.2815'} + 87%|██████████████████████████ | 7824/9000 [6:46:56<1:05:30, 3.34s/it][Dataset] cur_step=7825 phase=D_mixed_covt +[Dataset] cur_step=7825 phase=D_mixed_covt +[Dataset] cur_step=7825 phase=D_mixed_covt +[Dataset] cur_step=7825 phase=D_mixed_covt[Dataset] cur_step=7825 phase=D_mixed_covt + +[Dataset] cur_step=7825 phase=D_mixed_covt + 87%|██████████████████████████ | 7825/9000 [6:46:57<1:04:44, 3.31s/it][Dataset] cur_step=7825 phase=D_mixed_covt +[Dataset] cur_step=7825 phase=D_mixed_covt + {'loss': '3.304', 'grad_norm': '2.427', 'learning_rate': '2.294e-06', 'epoch': '0.2815'} + 87%|██████████████████████████ | 7825/9000 [6:46:57<1:04:44, 3.31s/it] {'lm_loss': '0.7398', 'visual_loss': '3.125', 'seg_loss': '0.83', 'dino_loss': '0.8185', 'depth_loss': '0.5194', 'vggt_mse_loss': '0.5147', 'vggt_cos_loss': '0.04686', 'pidinet_loss': '0.2052', 'siglip_loss': '0.7521', 'epoch': '0.2815'} + 87%|██████████████████████████ | 7825/9000 [6:46:59<1:04:44, 3.31s/it][Dataset] cur_step=7826 phase=D_mixed_covt +[Dataset] cur_step=7826 phase=D_mixed_covt +[Dataset] cur_step=7826 phase=D_mixed_covt[Dataset] cur_step=7826 phase=D_mixed_covt + +[Dataset] cur_step=7826 phase=D_mixed_covt +[Dataset] cur_step=7826 phase=D_mixed_covt + 87%|██████████████████████████ | 7826/9000 [6:47:00<1:00:01, 3.07s/it][Dataset] cur_step=7826 phase=D_mixed_covt +[Dataset] cur_step=7826 phase=D_mixed_covt + {'loss': '3.364', 'grad_norm': '3.478', 'learning_rate': '2.29e-06', 'epoch': '0.2815'} + 87%|██████████████████████████ | 7826/9000 [6:47:00<1:00:01, 3.07s/it] {'lm_loss': '0.753', 'visual_loss': '2.091', 'seg_loss': '0.7995', 'dino_loss': '0.9121', 'depth_loss': '0.2706', 'vggt_mse_loss': '0.2691', 'vggt_cos_loss': '0.01537', 'pidinet_loss': '0.1087', 'siglip_loss': '0', 'epoch': '0.2815'} + 87%|██████████████████████████ | 7826/9000 [6:47:01<1:00:01, 3.07s/it][Dataset] cur_step=7827 phase=D_mixed_covt +[Dataset] cur_step=7827 phase=D_mixed_covt[Dataset] cur_step=7827 phase=D_mixed_covt + +[Dataset] cur_step=7827 phase=D_mixed_covt +[Dataset] cur_step=7827 phase=D_mixed_covt +[Dataset] cur_step=7827 phase=D_mixed_covt + 87%|███████████████████████████▊ | 7827/9000 [6:47:02<57:04, 2.92s/it][Dataset] cur_step=7827 phase=D_mixed_covt +[Dataset] cur_step=7827 phase=D_mixed_covt + {'loss': '2.657', 'grad_norm': '3.954', 'learning_rate': '2.286e-06', 'epoch': '0.2816'} + 87%|███████████████████████████▊ | 7827/9000 [6:47:02<57:04, 2.92s/it] {'lm_loss': '0.969', 'visual_loss': '2.746', 'seg_loss': '0.7122', 'dino_loss': '0.8938', 'depth_loss': '0.1995', 'vggt_mse_loss': '0.1982', 'vggt_cos_loss': '0.01352', 'pidinet_loss': '0.2923', 'siglip_loss': '0.6485', 'epoch': '0.2816'} + 87%|███████████████████████████▊ | 7827/9000 [6:47:05<57:04, 2.92s/it][Dataset] cur_step=7828 phase=D_mixed_covt +[Dataset] cur_step=7828 phase=D_mixed_covt +[Dataset] cur_step=7828 phase=D_mixed_covt[Dataset] cur_step=7828 phase=D_mixed_covt +[Dataset] cur_step=7828 phase=D_mixed_covt[Dataset] cur_step=7828 phase=D_mixed_covt + +[Dataset] cur_step=7828 phase=D_mixed_covt + +[Dataset] cur_step=7828 phase=D_mixed_covt 87%|███████████████████████████▊ | 7828/9000 [6:47:05<56:33, 2.90s/it] + {'loss': '3.025', 'grad_norm': '2.669', 'learning_rate': '2.282e-06', 'epoch': '0.2816'} + 87%|███████████████████████████▊ | 7828/9000 [6:47:05<56:33, 2.90s/it] {'lm_loss': '0.6797', 'visual_loss': '2.037', 'seg_loss': '0.7321', 'dino_loss': '0.9495', 'depth_loss': '0.1981', 'vggt_mse_loss': '0.1965', 'vggt_cos_loss': '0.01605', 'pidinet_loss': '0.1569', 'siglip_loss': '0', 'epoch': '0.2816'} + 87%|███████████████████████████▊ | 7828/9000 [6:47:06<56:33, 2.90s/it][Dataset] cur_step=7829 phase=D_mixed_covt +[Dataset] cur_step=7829 phase=D_mixed_covt +[Dataset] cur_step=7829 phase=D_mixed_covt[Dataset] cur_step=7829 phase=D_mixed_covt + +[Dataset] cur_step=7829 phase=D_mixed_covt +[Dataset] cur_step=7829 phase=D_mixed_covt +[Dataset] cur_step=7829 phase=D_mixed_covt +[Dataset] cur_step=7829 phase=D_mixed_covt + 87%|███████████████████████████▊ | 7829/9000 [6:47:07<51:09, 2.62s/it] {'loss': '2.974', 'grad_norm': '3.57', 'learning_rate': '2.279e-06', 'epoch': '0.2816'} + 87%|███████████████████████████▊ | 7829/9000 [6:47:07<51:09, 2.62s/it] {'lm_loss': '0.794', 'visual_loss': '2.83', 'seg_loss': '0.5211', 'dino_loss': '0.936', 'depth_loss': '0.3079', 'vggt_mse_loss': '0.3058', 'vggt_cos_loss': '0.02072', 'pidinet_loss': '0.1675', 'siglip_loss': '0.8978', 'epoch': '0.2816'} + 87%|███████████████████████████▊ | 7829/9000 [6:47:09<51:09, 2.62s/it][Dataset] cur_step=7830 phase=D_mixed_covt +[Dataset] cur_step=7830 phase=D_mixed_covt +[Dataset] cur_step=7830 phase=D_mixed_covt[Dataset] cur_step=7830 phase=D_mixed_covt + +[Dataset] cur_step=7830 phase=D_mixed_covt + 87%|███████████████████████████▊ | 7830/9000 [6:47:09<48:50, 2.51s/it][Dataset] cur_step=7830 phase=D_mixed_covt[Dataset] cur_step=7830 phase=D_mixed_covt + +[Dataset] cur_step=7830 phase=D_mixed_covt + {'loss': '3.128', 'grad_norm': '3.162', 'learning_rate': '2.275e-06', 'epoch': '0.2817'} + 87%|███████████████████████████▊ | 7830/9000 [6:47:09<48:50, 2.51s/it] {'lm_loss': '0.7964', 'visual_loss': '2.76', 'seg_loss': '0.8732', 'dino_loss': '0.8522', 'depth_loss': '0.1425', 'vggt_mse_loss': '0.1417', 'vggt_cos_loss': '0.008536', 'pidinet_loss': '0.2469', 'siglip_loss': '0.6451', 'epoch': '0.2817'} + 87%|███████████████████████████▊ | 7830/9000 [6:47:11<48:50, 2.51s/it][Dataset] cur_step=7831 phase=D_mixed_covt +[Dataset] cur_step=7831 phase=D_mixed_covt[Dataset] cur_step=7831 phase=D_mixed_covt + +[Dataset] cur_step=7831 phase=D_mixed_covt +[Dataset] cur_step=7831 phase=D_mixed_covt +[Dataset] cur_step=7831 phase=D_mixed_covt +[Dataset] cur_step=7831 phase=D_mixed_covt + 87%|███████████████████████████▊ | 7831/9000 [6:47:12<49:15, 2.53s/it][Dataset] cur_step=7831 phase=D_mixed_covt + {'loss': '3.506', 'grad_norm': '2.388', 'learning_rate': '2.271e-06', 'epoch': '0.2817'} + 87%|███████████████████████████▊ | 7831/9000 [6:47:12<49:15, 2.53s/it] {'lm_loss': '0.08245', 'visual_loss': '2.919', 'seg_loss': '0.6916', 'dino_loss': '0.9328', 'depth_loss': '0.3115', 'vggt_mse_loss': '0.3094', 'vggt_cos_loss': '0.02081', 'pidinet_loss': '0.2511', 'siglip_loss': '0.7325', 'epoch': '0.2817'} + 87%|███████████████████████████▊ | 7831/9000 [6:47:15<49:15, 2.53s/it][Dataset] cur_step=7832 phase=D_mixed_covt +[Dataset] cur_step=7832 phase=D_mixed_covt +[Dataset] cur_step=7832 phase=D_mixed_covt[Dataset] cur_step=7832 phase=D_mixed_covt[Dataset] cur_step=7832 phase=D_mixed_covt + + +[Dataset] cur_step=7832 phase=D_mixed_covt + 87%|███████████████████████████▊ | 7832/9000 [6:47:15<53:27, 2.75s/it][Dataset] cur_step=7832 phase=D_mixed_covt +[Dataset] cur_step=7832 phase=D_mixed_covt + {'loss': '3.146', 'grad_norm': '2.154', 'learning_rate': '2.267e-06', 'epoch': '0.2818'} + 87%|███████████████████████████▊ | 7832/9000 [6:47:15<53:27, 2.75s/it] {'lm_loss': '0.9956', 'visual_loss': '2.77', 'seg_loss': '0.813', 'dino_loss': '0.8757', 'depth_loss': '0.384', 'vggt_mse_loss': '0.3806', 'vggt_cos_loss': '0.03424', 'pidinet_loss': '0.1623', 'siglip_loss': '0.5349', 'epoch': '0.2818'} + 87%|███████████████████████████▊ | 7832/9000 [6:47:17<53:27, 2.75s/it][Dataset] cur_step=7833 phase=D_mixed_covt +[Dataset] cur_step=7833 phase=D_mixed_covt[Dataset] cur_step=7833 phase=D_mixed_covt[Dataset] cur_step=7833 phase=D_mixed_covt + + +[Dataset] cur_step=7833 phase=D_mixed_covt[Dataset] cur_step=7833 phase=D_mixed_covt + +[Dataset] cur_step=7833 phase=D_mixed_covt +[Dataset] cur_step=7833 phase=D_mixed_covt + 87%|███████████████████████████▊ | 7833/9000 [6:47:18<52:02, 2.68s/it] {'loss': '3.285', 'grad_norm': '6.323', 'learning_rate': '2.263e-06', 'epoch': '0.2818'} + 87%|███████████████████████████▊ | 7833/9000 [6:47:18<52:02, 2.68s/it] {'lm_loss': '1.089', 'visual_loss': '2.39', 'seg_loss': '0.6629', 'dino_loss': '0.926', 'depth_loss': '0.2491', 'vggt_mse_loss': '0.2475', 'vggt_cos_loss': '0.01596', 'pidinet_loss': '0', 'siglip_loss': '0.5524', 'epoch': '0.2818'} + 87%|███████████████████████████▊ | 7833/9000 [6:47:20<52:02, 2.68s/it][Dataset] cur_step=7834 phase=D_mixed_covt[Dataset] cur_step=7834 phase=D_mixed_covt[Dataset] cur_step=7834 phase=D_mixed_covt + + +[Dataset] cur_step=7834 phase=D_mixed_covt + 87%|███████████████████████████▊ | 7834/9000 [6:47:20<50:59, 2.62s/it][Dataset] cur_step=7834 phase=D_mixed_covt +[Dataset] cur_step=7834 phase=D_mixed_covt +[Dataset] cur_step=7834 phase=D_mixed_covt +[Dataset] cur_step=7834 phase=D_mixed_covt + {'loss': '2.914', 'grad_norm': '3.228', 'learning_rate': '2.26e-06', 'epoch': '0.2818'} + 87%|███████████████████████████▊ | 7834/9000 [6:47:20<50:59, 2.62s/it] {'lm_loss': '0.5185', 'visual_loss': '2.963', 'seg_loss': '0.7429', 'dino_loss': '0.932', 'depth_loss': '0.2585', 'vggt_mse_loss': '0.2564', 'vggt_cos_loss': '0.02026', 'pidinet_loss': '0.2457', 'siglip_loss': '0.7843', 'epoch': '0.2818'} + 87%|███████████████████████████▊ | 7834/9000 [6:47:22<50:59, 2.62s/it][Dataset] cur_step=7835 phase=D_mixed_covt +[Dataset] cur_step=7835 phase=D_mixed_covt +[Dataset] cur_step=7835 phase=D_mixed_covt[Dataset] cur_step=7835 phase=D_mixed_covt + +[Dataset] cur_step=7835 phase=D_mixed_covt +[Dataset] cur_step=7835 phase=D_mixed_covt +[Dataset] cur_step=7835 phase=D_mixed_covt +[Dataset] cur_step=7835 phase=D_mixed_covt + 87%|███████████████████████████▊ | 7835/9000 [6:47:22<48:44, 2.51s/it] {'loss': '3.065', 'grad_norm': '3.284', 'learning_rate': '2.256e-06', 'epoch': '0.2819'} + 87%|███████████████████████████▊ | 7835/9000 [6:47:22<48:44, 2.51s/it] {'lm_loss': '0.1404', 'visual_loss': '2.113', 'seg_loss': '0', 'dino_loss': '0.9157', 'depth_loss': '0.4607', 'vggt_mse_loss': '0.4567', 'vggt_cos_loss': '0.03931', 'pidinet_loss': '0.2354', 'siglip_loss': '0.5013', 'epoch': '0.2819'} + 87%|███████████████████████████▊ | 7835/9000 [6:47:23<48:44, 2.51s/it][Dataset] cur_step=7836 phase=D_mixed_covt +[Dataset] cur_step=7836 phase=D_mixed_covt +[Dataset] cur_step=7836 phase=D_mixed_covt +[Dataset] cur_step=7836 phase=D_mixed_covt +[Dataset] cur_step=7836 phase=D_mixed_covt +[Dataset] cur_step=7836 phase=D_mixed_covt +[Dataset] cur_step=7836 phase=D_mixed_covt +[Dataset] cur_step=7836 phase=D_mixed_covt + 87%|███████████████████████████▊ | 7836/9000 [6:47:24<41:16, 2.13s/it] {'loss': '2.645', 'grad_norm': '3.084', 'learning_rate': '2.252e-06', 'epoch': '0.2819'} + 87%|███████████████████████████▊ | 7836/9000 [6:47:24<41:16, 2.13s/it] {'lm_loss': '0.8268', 'visual_loss': '2.819', 'seg_loss': '0.7194', 'dino_loss': '0.9496', 'depth_loss': '0.2425', 'vggt_mse_loss': '0.2404', 'vggt_cos_loss': '0.02122', 'pidinet_loss': '0', 'siglip_loss': '0.9075', 'epoch': '0.2819'} + 87%|███████████████████████████▊ | 7836/9000 [6:47:25<41:16, 2.13s/it][Dataset] cur_step=7837 phase=D_mixed_covt +[Dataset] cur_step=7837 phase=D_mixed_covt +[Dataset] cur_step=7837 phase=D_mixed_covt +[Dataset] cur_step=7837 phase=D_mixed_covt + 87%|███████████████████████████▊ | 7837/9000 [6:47:26<44:52, 2.31s/it][Dataset] cur_step=7837 phase=D_mixed_covt +[Dataset] cur_step=7837 phase=D_mixed_covt +[Dataset] cur_step=7837 phase=D_mixed_covt +[Dataset] cur_step=7837 phase=D_mixed_covt + {'loss': '3.102', 'grad_norm': '3.46', 'learning_rate': '2.248e-06', 'epoch': '0.2819'} + 87%|███████████████████████████▊ | 7837/9000 [6:47:26<44:52, 2.31s/it] {'lm_loss': '0.4397', 'visual_loss': '2.625', 'seg_loss': '0.766', 'dino_loss': '0.9223', 'depth_loss': '0.235', 'vggt_mse_loss': '0.2334', 'vggt_cos_loss': '0.01557', 'pidinet_loss': '0.2175', 'siglip_loss': '0.4843', 'epoch': '0.2819'} + 87%|███████████████████████████▊ | 7837/9000 [6:47:28<44:52, 2.31s/it][Dataset] cur_step=7838 phase=D_mixed_covt +[Dataset] cur_step=7838 phase=D_mixed_covt +[Dataset] cur_step=7838 phase=D_mixed_covt +[Dataset] cur_step=7838 phase=D_mixed_covt[Dataset] cur_step=7838 phase=D_mixed_covt +[Dataset] cur_step=7838 phase=D_mixed_covt + + 87%|███████████████████████████▊ | 7838/9000 [6:47:29<45:27, 2.35s/it][Dataset] cur_step=7838 phase=D_mixed_covt +[Dataset] cur_step=7838 phase=D_mixed_covt + {'loss': '3.201', 'grad_norm': '2.735', 'learning_rate': '2.244e-06', 'epoch': '0.282'} + 87%|███████████████████████████▊ | 7838/9000 [6:47:29<45:27, 2.35s/it] {'lm_loss': '0.4818', 'visual_loss': '2.424', 'seg_loss': '0.7256', 'dino_loss': '0.927', 'depth_loss': '0.2005', 'vggt_mse_loss': '0.1994', 'vggt_cos_loss': '0.011', 'pidinet_loss': '0.2344', 'siglip_loss': '0.3367', 'epoch': '0.282'} + 87%|███████████████████████████▊ | 7838/9000 [6:47:31<45:27, 2.35s/it][Dataset] cur_step=7839 phase=D_mixed_covt +[Dataset] cur_step=7839 phase=D_mixed_covt +[Dataset] cur_step=7839 phase=D_mixed_covt +[Dataset] cur_step=7839 phase=D_mixed_covt +[Dataset] cur_step=7839 phase=D_mixed_covt +[Dataset] cur_step=7839 phase=D_mixed_covt +[Dataset] cur_step=7839 phase=D_mixed_covt 87%|███████████████████████████▊ | 7839/9000 [6:47:32<51:28, 2.66s/it] +[Dataset] cur_step=7839 phase=D_mixed_covt + {'loss': '3.022', 'grad_norm': '5.116', 'learning_rate': '2.241e-06', 'epoch': '0.282'} + 87%|███████████████████████████▊ | 7839/9000 [6:47:32<51:28, 2.66s/it] {'lm_loss': '0.7833', 'visual_loss': '2.516', 'seg_loss': '0.6902', 'dino_loss': '0.945', 'depth_loss': '0.2348', 'vggt_mse_loss': '0.2331', 'vggt_cos_loss': '0.0176', 'pidinet_loss': '0.1961', 'siglip_loss': '0.4497', 'epoch': '0.282'} + 87%|███████████████████████████▊ | 7839/9000 [6:47:34<51:28, 2.66s/it][Dataset] cur_step=7840 phase=D_mixed_covt +[Dataset] cur_step=7840 phase=D_mixed_covt[Dataset] cur_step=7840 phase=D_mixed_covt + +[Dataset] cur_step=7840 phase=D_mixed_covt 87%|███████████████████████████▉ | 7840/9000 [6:47:35<50:53, 2.63s/it] +[Dataset] cur_step=7840 phase=D_mixed_covt +[Dataset] cur_step=7840 phase=D_mixed_covt +[Dataset] cur_step=7840 phase=D_mixed_covt +[Dataset] cur_step=7840 phase=D_mixed_covt + {'loss': '3.232', 'grad_norm': '3.314', 'learning_rate': '2.237e-06', 'epoch': '0.282'} + 87%|███████████████████████████▉ | 7840/9000 [6:47:35<50:53, 2.63s/it] {'lm_loss': '0.4346', 'visual_loss': '2.386', 'seg_loss': '0.6804', 'dino_loss': '0.9248', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2285', 'siglip_loss': '0.5521', 'epoch': '0.282'} + 87%|███████████████████████████▉ | 7840/9000 [6:47:36<50:53, 2.63s/it][Dataset] cur_step=7841 phase=D_mixed_covt[Dataset] cur_step=7841 phase=D_mixed_covt + +[Dataset] cur_step=7841 phase=D_mixed_covt +[Dataset] cur_step=7841 phase=D_mixed_covt +[Dataset] cur_step=7841 phase=D_mixed_covt +[Dataset] cur_step=7841 phase=D_mixed_covt + 87%|███████████████████████████▉ | 7841/9000 [6:47:36<45:20, 2.35s/it][Dataset] cur_step=7841 phase=D_mixed_covt +[Dataset] cur_step=7841 phase=D_mixed_covt + {'loss': '3.254', 'grad_norm': '3.577', 'learning_rate': '2.233e-06', 'epoch': '0.2821'} + 87%|███████████████████████████▉ | 7841/9000 [6:47:36<45:20, 2.35s/it] {'lm_loss': '1.078', 'visual_loss': '2.489', 'seg_loss': '0.5548', 'dino_loss': '0.8478', 'depth_loss': '0.164', 'vggt_mse_loss': '0.1626', 'vggt_cos_loss': '0.01358', 'pidinet_loss': '0.2038', 'siglip_loss': '0.7184', 'epoch': '0.2821'} + 87%|███████████████████████████▉ | 7841/9000 [6:47:40<45:20, 2.35s/it][Dataset] cur_step=7842 phase=D_mixed_covt +[Dataset] cur_step=7842 phase=D_mixed_covt +[Dataset] cur_step=7842 phase=D_mixed_covt +[Dataset] cur_step=7842 phase=D_mixed_covt[Dataset] cur_step=7842 phase=D_mixed_covt + +[Dataset] cur_step=7842 phase=D_mixed_covt + 87%|██████████████████████████▏ | 7842/9000 [6:47:43<1:07:07, 3.48s/it][Dataset] cur_step=7842 phase=D_mixed_covt +[Dataset] cur_step=7842 phase=D_mixed_covt + {'loss': '3.437', 'grad_norm': '1.898', 'learning_rate': '2.229e-06', 'epoch': '0.2821'} + 87%|██████████████████████████▏ | 7842/9000 [6:47:43<1:07:07, 3.48s/it] {'lm_loss': '0.6592', 'visual_loss': '2.943', 'seg_loss': '0.8475', 'dino_loss': '0.9294', 'depth_loss': '0.1989', 'vggt_mse_loss': '0.1976', 'vggt_cos_loss': '0.01268', 'pidinet_loss': '0.2849', 'siglip_loss': '0.6826', 'epoch': '0.2821'} + 87%|██████████████████████████▏ | 7842/9000 [6:47:45<1:07:07, 3.48s/it][Dataset] cur_step=7843 phase=D_mixed_covt +[Dataset] cur_step=7843 phase=D_mixed_covt +[Dataset] cur_step=7843 phase=D_mixed_covt + 87%|██████████████████████████▏ | 7843/9000 [6:47:46<1:04:51, 3.36s/it][Dataset] cur_step=7843 phase=D_mixed_covt +[Dataset] cur_step=7843 phase=D_mixed_covt +[Dataset] cur_step=7843 phase=D_mixed_covt +[Dataset] cur_step=7843 phase=D_mixed_covt +[Dataset] cur_step=7843 phase=D_mixed_covt + {'loss': '3.189', 'grad_norm': '2.549', 'learning_rate': '2.225e-06', 'epoch': '0.2822'} + 87%|██████████████████████████▏ | 7843/9000 [6:47:46<1:04:51, 3.36s/it] {'lm_loss': '0.832', 'visual_loss': '2.926', 'seg_loss': '0.8804', 'dino_loss': '0.8945', 'depth_loss': '0.1268', 'vggt_mse_loss': '0.126', 'vggt_cos_loss': '0.007367', 'pidinet_loss': '0.3134', 'siglip_loss': '0.7114', 'epoch': '0.2822'} + 87%|██████████████████████████▏ | 7843/9000 [6:47:47<1:04:51, 3.36s/it][Dataset] cur_step=7844 phase=D_mixed_covt +[Dataset] cur_step=7844 phase=D_mixed_covt + 87%|██████████████████████████▏ | 7844/9000 [6:47:49<1:01:58, 3.22s/it][Dataset] cur_step=7844 phase=D_mixed_covt +[Dataset] cur_step=7844 phase=D_mixed_covt +[Dataset] cur_step=7844 phase=D_mixed_covt +[Dataset] cur_step=7844 phase=D_mixed_covt +[Dataset] cur_step=7844 phase=D_mixed_covt[Dataset] cur_step=7844 phase=D_mixed_covt + + {'loss': '3.288', 'grad_norm': '3.158', 'learning_rate': '2.222e-06', 'epoch': '0.2822'} + 87%|██████████████████████████▏ | 7844/9000 [6:47:49<1:01:58, 3.22s/it] {'lm_loss': '0.3655', 'visual_loss': '2.01', 'seg_loss': '0.5471', 'dino_loss': '0.8404', 'depth_loss': '0.2974', 'vggt_mse_loss': '0.2946', 'vggt_cos_loss': '0.02785', 'pidinet_loss': '0.1112', 'siglip_loss': '0.2143', 'epoch': '0.2822'} + 87%|██████████████████████████▏ | 7844/9000 [6:47:51<1:01:58, 3.22s/it][Dataset] cur_step=7845 phase=D_mixed_covt + 87%|██████████████████████████▏ | 7845/9000 [6:47:52<1:02:49, 3.26s/it][Dataset] cur_step=7845 phase=D_mixed_covt +[Dataset] cur_step=7845 phase=D_mixed_covt +[Dataset] cur_step=7845 phase=D_mixed_covt +[Dataset] cur_step=7845 phase=D_mixed_covt[Dataset] cur_step=7845 phase=D_mixed_covt + +[Dataset] cur_step=7845 phase=D_mixed_covt +[Dataset] cur_step=7845 phase=D_mixed_covt + {'loss': '3.403', 'grad_norm': '3.082', 'learning_rate': '2.218e-06', 'epoch': '0.2822'} + 87%|██████████████████████████▏ | 7845/9000 [6:47:52<1:02:49, 3.26s/it] {'lm_loss': '0.6764', 'visual_loss': '2.882', 'seg_loss': '0.7706', 'dino_loss': '0.9358', 'depth_loss': '0.3761', 'vggt_mse_loss': '0.3731', 'vggt_cos_loss': '0.03012', 'pidinet_loss': '0.2133', 'siglip_loss': '0.5867', 'epoch': '0.2822'} + 87%|██████████████████████████▏ | 7845/9000 [6:47:54<1:02:49, 3.26s/it][Dataset] cur_step=7846 phase=D_mixed_covt[Dataset] cur_step=7846 phase=D_mixed_covt + +[Dataset] cur_step=7846 phase=D_mixed_covt + 87%|███████████████████████████▉ | 7846/9000 [6:47:55<59:26, 3.09s/it][Dataset] cur_step=7846 phase=D_mixed_covt +[Dataset] cur_step=7846 phase=D_mixed_covt +[Dataset] cur_step=7846 phase=D_mixed_covt +[Dataset] cur_step=7846 phase=D_mixed_covt +[Dataset] cur_step=7846 phase=D_mixed_covt + {'loss': '3.41', 'grad_norm': '10.15', 'learning_rate': '2.214e-06', 'epoch': '0.2823'} + 87%|███████████████████████████▉ | 7846/9000 [6:47:55<59:26, 3.09s/it] {'lm_loss': '1.061', 'visual_loss': '2.144', 'seg_loss': '0.7168', 'dino_loss': '0.9252', 'depth_loss': '0.1876', 'vggt_mse_loss': '0.1865', 'vggt_cos_loss': '0.01149', 'pidinet_loss': '0.3144', 'siglip_loss': '0', 'epoch': '0.2823'} + 87%|███████████████████████████▉ | 7846/9000 [6:47:56<59:26, 3.09s/it][Dataset] cur_step=7847 phase=D_mixed_covt +[Dataset] cur_step=7847 phase=D_mixed_covt[Dataset] cur_step=7847 phase=D_mixed_covt + +[Dataset] cur_step=7847 phase=D_mixed_covt +[Dataset] cur_step=7847 phase=D_mixed_covt +[Dataset] cur_step=7847 phase=D_mixed_covt + 87%|███████████████████████████▉ | 7847/9000 [6:47:57<56:41, 2.95s/it][Dataset] cur_step=7847 phase=D_mixed_covt +[Dataset] cur_step=7847 phase=D_mixed_covt + {'loss': '2.736', 'grad_norm': '2.383', 'learning_rate': '2.21e-06', 'epoch': '0.2823'} + 87%|███████████████████████████▉ | 7847/9000 [6:47:57<56:41, 2.95s/it] {'lm_loss': '0.8899', 'visual_loss': '2.577', 'seg_loss': '0.6154', 'dino_loss': '0.9257', 'depth_loss': '0.2269', 'vggt_mse_loss': '0.2256', 'vggt_cos_loss': '0.01273', 'pidinet_loss': '0.2784', 'siglip_loss': '0.531', 'epoch': '0.2823'} + 87%|███████████████████████████▉ | 7847/9000 [6:47:59<56:41, 2.95s/it][Dataset] cur_step=7848 phase=D_mixed_covt +[Dataset] cur_step=7848 phase=D_mixed_covt +[Dataset] cur_step=7848 phase=D_mixed_covt +[Dataset] cur_step=7848 phase=D_mixed_covt +[Dataset] cur_step=7848 phase=D_mixed_covt +[Dataset] cur_step=7848 phase=D_mixed_covt +[Dataset] cur_step=7848 phase=D_mixed_covt 87%|███████████████████████████▉ | 7848/9000 [6:47:59<51:48, 2.70s/it] +[Dataset] cur_step=7848 phase=D_mixed_covt + {'loss': '3.228', 'grad_norm': '3.746', 'learning_rate': '2.206e-06', 'epoch': '0.2823'} + 87%|███████████████████████████▉ | 7848/9000 [6:47:59<51:48, 2.70s/it] {'lm_loss': '0.7011', 'visual_loss': '2.631', 'seg_loss': '0.7587', 'dino_loss': '0.9215', 'depth_loss': '0.2535', 'vggt_mse_loss': '0.2514', 'vggt_cos_loss': '0.02034', 'pidinet_loss': '0.2694', 'siglip_loss': '0.4282', 'epoch': '0.2823'} + 87%|███████████████████████████▉ | 7848/9000 [6:48:01<51:48, 2.70s/it][Dataset] cur_step=7849 phase=D_mixed_covt +[Dataset] cur_step=7849 phase=D_mixed_covt +[Dataset] cur_step=7849 phase=D_mixed_covt + 87%|██████████████████████████▏ | 7849/9000 [6:48:04<1:05:23, 3.41s/it][Dataset] cur_step=7849 phase=D_mixed_covt[Dataset] cur_step=7849 phase=D_mixed_covt + +[Dataset] cur_step=7849 phase=D_mixed_covt +[Dataset] cur_step=7849 phase=D_mixed_covt +[Dataset] cur_step=7849 phase=D_mixed_covt + {'loss': '3.251', 'grad_norm': '4.95', 'learning_rate': '2.203e-06', 'epoch': '0.2824'} + 87%|██████████████████████████▏ | 7849/9000 [6:48:04<1:05:23, 3.41s/it] {'lm_loss': '0.7909', 'visual_loss': '2.722', 'seg_loss': '0.6489', 'dino_loss': '0.93', 'depth_loss': '0.2468', 'vggt_mse_loss': '0.2451', 'vggt_cos_loss': '0.0167', 'pidinet_loss': '0.228', 'siglip_loss': '0.6685', 'epoch': '0.2824'} + 87%|██████████████████████████▏ | 7849/9000 [6:48:06<1:05:23, 3.41s/it][Dataset] cur_step=7850 phase=D_mixed_covt +[Dataset] cur_step=7850 phase=D_mixed_covt[Dataset] cur_step=7850 phase=D_mixed_covt + +[Dataset] cur_step=7850 phase=D_mixed_covt + 87%|██████████████████████████▏ | 7850/9000 [6:48:07<1:00:45, 3.17s/it][Dataset] cur_step=7850 phase=D_mixed_covt +[Dataset] cur_step=7850 phase=D_mixed_covt +[Dataset] cur_step=7850 phase=D_mixed_covt +[Dataset] cur_step=7850 phase=D_mixed_covt + {'loss': '3.098', 'grad_norm': '3.695', 'learning_rate': '2.199e-06', 'epoch': '0.2824'} + 87%|██████████████████████████▏ | 7850/9000 [6:48:07<1:00:45, 3.17s/it] {'lm_loss': '0.8652', 'visual_loss': '2.443', 'seg_loss': '0.4123', 'dino_loss': '0.84', 'depth_loss': '0.215', 'vggt_mse_loss': '0.2132', 'vggt_cos_loss': '0.01758', 'pidinet_loss': '0.3365', 'siglip_loss': '0.6397', 'epoch': '0.2824'} + 87%|██████████████████████████▏ | 7850/9000 [6:48:09<1:00:45, 3.17s/it][Dataset] cur_step=7851 phase=D_mixed_covt +[Dataset] cur_step=7851 phase=D_mixed_covt + 87%|███████████████████████████▉ | 7851/9000 [6:48:09<54:43, 2.86s/it][Dataset] cur_step=7851 phase=D_mixed_covt +[Dataset] cur_step=7851 phase=D_mixed_covt[Dataset] cur_step=7851 phase=D_mixed_covt + +[Dataset] cur_step=7851 phase=D_mixed_covt +[Dataset] cur_step=7851 phase=D_mixed_covt +[Dataset] cur_step=7851 phase=D_mixed_covt + {'loss': '3.15', 'grad_norm': '2.677', 'learning_rate': '2.195e-06', 'epoch': '0.2824'} + 87%|███████████████████████████▉ | 7851/9000 [6:48:09<54:43, 2.86s/it] {'lm_loss': '0.1113', 'visual_loss': '2.549', 'seg_loss': '0.7125', 'dino_loss': '0.9065', 'depth_loss': '0.1867', 'vggt_mse_loss': '0.1855', 'vggt_cos_loss': '0.01231', 'pidinet_loss': '0.2735', 'siglip_loss': '0.4699', 'epoch': '0.2824'} + 87%|███████████████████████████▉ | 7851/9000 [6:48:13<54:43, 2.86s/it][Dataset] cur_step=7852 phase=D_mixed_covt + 87%|██████████████████████████▏ | 7852/9000 [6:48:13<1:02:32, 3.27s/it][Dataset] cur_step=7852 phase=D_mixed_covt +[Dataset] cur_step=7852 phase=D_mixed_covt[Dataset] cur_step=7852 phase=D_mixed_covt + +[Dataset] cur_step=7852 phase=D_mixed_covt +[Dataset] cur_step=7852 phase=D_mixed_covt +[Dataset] cur_step=7852 phase=D_mixed_covt +[Dataset] cur_step=7852 phase=D_mixed_covt + {'loss': '3.266', 'grad_norm': '2.192', 'learning_rate': '2.191e-06', 'epoch': '0.2825'} + 87%|██████████████████████████▏ | 7852/9000 [6:48:13<1:02:32, 3.27s/it] {'lm_loss': '0.8295', 'visual_loss': '2.508', 'seg_loss': '0.7529', 'dino_loss': '0.9204', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.261', 'siglip_loss': '0.5735', 'epoch': '0.2825'} + 87%|██████████████████████████▏ | 7852/9000 [6:48:16<1:02:32, 3.27s/it][Dataset] cur_step=7853 phase=D_mixed_covt +[Dataset] cur_step=7853 phase=D_mixed_covt +[Dataset] cur_step=7853 phase=D_mixed_covt +[Dataset] cur_step=7853 phase=D_mixed_covt +[Dataset] cur_step=7853 phase=D_mixed_covt + 87%|██████████████████████████▏ | 7853/9000 [6:48:17<1:02:48, 3.29s/it][Dataset] cur_step=7853 phase=D_mixed_covt +[Dataset] cur_step=7853 phase=D_mixed_covt +[Dataset] cur_step=7853 phase=D_mixed_covt + {'loss': '2.952', 'grad_norm': '3.339', 'learning_rate': '2.188e-06', 'epoch': '0.2825'} + 87%|██████████████████████████▏ | 7853/9000 [6:48:17<1:02:48, 3.29s/it] {'lm_loss': '1.042', 'visual_loss': '2.792', 'seg_loss': '0.8551', 'dino_loss': '0.9186', 'depth_loss': '0.2049', 'vggt_mse_loss': '0.2035', 'vggt_cos_loss': '0.0144', 'pidinet_loss': '0.2295', 'siglip_loss': '0.5841', 'epoch': '0.2825'} + 87%|██████████████████████████▏ | 7853/9000 [6:48:20<1:02:48, 3.29s/it][Dataset] cur_step=7854 phase=D_mixed_covt +[Dataset] cur_step=7854 phase=D_mixed_covt +[Dataset] cur_step=7854 phase=D_mixed_covt +[Dataset] cur_step=7854 phase=D_mixed_covt[Dataset] cur_step=7854 phase=D_mixed_covt +[Dataset] cur_step=7854 phase=D_mixed_covt + + 87%|██████████████████████████▏ | 7854/9000 [6:48:21<1:07:48, 3.55s/it][Dataset] cur_step=7854 phase=D_mixed_covt +[Dataset] cur_step=7854 phase=D_mixed_covt + {'loss': '3.494', 'grad_norm': '3.656', 'learning_rate': '2.184e-06', 'epoch': '0.2825'} + 87%|██████████████████████████▏ | 7854/9000 [6:48:21<1:07:48, 3.55s/it] {'lm_loss': '0.3627', 'visual_loss': '2.433', 'seg_loss': '0.3569', 'dino_loss': '0.882', 'depth_loss': '0.2055', 'vggt_mse_loss': '0.2041', 'vggt_cos_loss': '0.01458', 'pidinet_loss': '0.3565', 'siglip_loss': '0.6325', 'epoch': '0.2825'} + 87%|██████████████████████████▏ | 7854/9000 [6:48:22<1:07:48, 3.55s/it][Dataset] cur_step=7855 phase=D_mixed_covt[Dataset] cur_step=7855 phase=D_mixed_covt + +[Dataset] cur_step=7855 phase=D_mixed_covt[Dataset] cur_step=7855 phase=D_mixed_covt + +[Dataset] cur_step=7855 phase=D_mixed_covt +[Dataset] cur_step=7855 phase=D_mixed_covt + 87%|███████████████████████████▉ | 7855/9000 [6:48:23<57:42, 3.02s/it][Dataset] cur_step=7855 phase=D_mixed_covt +[Dataset] cur_step=7855 phase=D_mixed_covt + {'loss': '3.252', 'grad_norm': '4.046', 'learning_rate': '2.18e-06', 'epoch': '0.2826'} + 87%|███████████████████████████▉ | 7855/9000 [6:48:23<57:42, 3.02s/it] {'lm_loss': '0.9239', 'visual_loss': '2.597', 'seg_loss': '0.7206', 'dino_loss': '0.9259', 'depth_loss': '0.1888', 'vggt_mse_loss': '0.1873', 'vggt_cos_loss': '0.01445', 'pidinet_loss': '0.2648', 'siglip_loss': '0.4966', 'epoch': '0.2826'} + 87%|███████████████████████████▉ | 7855/9000 [6:48:25<57:42, 3.02s/it][Dataset] cur_step=7856 phase=D_mixed_covt +[Dataset] cur_step=7856 phase=D_mixed_covt +[Dataset] cur_step=7856 phase=D_mixed_covt +[Dataset] cur_step=7856 phase=D_mixed_covt[Dataset] cur_step=7856 phase=D_mixed_covt + + 87%|██████████████████████████▏ | 7856/9000 [6:48:26<1:00:23, 3.17s/it][Dataset] cur_step=7856 phase=D_mixed_covt +[Dataset] cur_step=7856 phase=D_mixed_covt +[Dataset] cur_step=7856 phase=D_mixed_covt + {'loss': '3.187', 'grad_norm': '4.093', 'learning_rate': '2.176e-06', 'epoch': '0.2826'} + 87%|██████████████████████████▏ | 7856/9000 [6:48:26<1:00:23, 3.17s/it] {'lm_loss': '0.6088', 'visual_loss': '2.557', 'seg_loss': '0.8524', 'dino_loss': '0.9397', 'depth_loss': '0.229', 'vggt_mse_loss': '0.2276', 'vggt_cos_loss': '0.01359', 'pidinet_loss': '0.139', 'siglip_loss': '0.397', 'epoch': '0.2826'} + 87%|██████████████████████████▏ | 7856/9000 [6:48:28<1:00:23, 3.17s/it][Dataset] cur_step=7857 phase=D_mixed_covt +[Dataset] cur_step=7857 phase=D_mixed_covt +[Dataset] cur_step=7857 phase=D_mixed_covt[Dataset] cur_step=7857 phase=D_mixed_covt +[Dataset] cur_step=7857 phase=D_mixed_covt +[Dataset] cur_step=7857 phase=D_mixed_covt + + 87%|███████████████████████████▉ | 7857/9000 [6:48:28<53:12, 2.79s/it][Dataset] cur_step=7857 phase=D_mixed_covt +[Dataset] cur_step=7857 phase=D_mixed_covt + {'loss': '3.262', 'grad_norm': '4.472', 'learning_rate': '2.173e-06', 'epoch': '0.2827'} + 87%|███████████████████████████▉ | 7857/9000 [6:48:28<53:12, 2.79s/it] {'lm_loss': '0.8069', 'visual_loss': '2.891', 'seg_loss': '0.6651', 'dino_loss': '0.9167', 'depth_loss': '0.1938', 'vggt_mse_loss': '0.1924', 'vggt_cos_loss': '0.01396', 'pidinet_loss': '0.2726', 'siglip_loss': '0.8429', 'epoch': '0.2827'} + 87%|███████████████████████████▉ | 7857/9000 [6:48:31<53:12, 2.79s/it][Dataset] cur_step=7858 phase=D_mixed_covt +[Dataset] cur_step=7858 phase=D_mixed_covt +[Dataset] cur_step=7858 phase=D_mixed_covt +[Dataset] cur_step=7858 phase=D_mixed_covt + 87%|██████████████████████████▏ | 7858/9000 [6:48:33<1:07:27, 3.54s/it][Dataset] cur_step=7858 phase=D_mixed_covt +[Dataset] cur_step=7858 phase=D_mixed_covt +[Dataset] cur_step=7858 phase=D_mixed_covt +[Dataset] cur_step=7858 phase=D_mixed_covt + {'loss': '3.185', 'grad_norm': '2.697', 'learning_rate': '2.169e-06', 'epoch': '0.2827'} + 87%|██████████████████████████▏ | 7858/9000 [6:48:33<1:07:27, 3.54s/it] {'lm_loss': '0.7607', 'visual_loss': '2.63', 'seg_loss': '0.6975', 'dino_loss': '0.916', 'depth_loss': '0.2805', 'vggt_mse_loss': '0.2782', 'vggt_cos_loss': '0.0235', 'pidinet_loss': '0.2005', 'siglip_loss': '0.5353', 'epoch': '0.2827'} + 87%|██████████████████████████▏ | 7858/9000 [6:48:35<1:07:27, 3.54s/it][Dataset] cur_step=7859 phase=D_mixed_covt +[Dataset] cur_step=7859 phase=D_mixed_covt[Dataset] cur_step=7859 phase=D_mixed_covt + +[Dataset] cur_step=7859 phase=D_mixed_covt + 87%|██████████████████████████▏ | 7859/9000 [6:48:36<1:01:15, 3.22s/it][Dataset] cur_step=7859 phase=D_mixed_covt +[Dataset] cur_step=7859 phase=D_mixed_covt +[Dataset] cur_step=7859 phase=D_mixed_covt +[Dataset] cur_step=7859 phase=D_mixed_covt + {'loss': '3.337', 'grad_norm': '11.29', 'learning_rate': '2.165e-06', 'epoch': '0.2827'} + 87%|██████████████████████████▏ | 7859/9000 [6:48:36<1:01:15, 3.22s/it] {'lm_loss': '1.474', 'visual_loss': '2.517', 'seg_loss': '0.7007', 'dino_loss': '0.9057', 'depth_loss': '0.2515', 'vggt_mse_loss': '0.2495', 'vggt_cos_loss': '0.02018', 'pidinet_loss': '0.2277', 'siglip_loss': '0.4316', 'epoch': '0.2827'} + 87%|██████████████████████████▏ | 7859/9000 [6:48:38<1:01:15, 3.22s/it][Dataset] cur_step=7860 phase=D_mixed_covt +[Dataset] cur_step=7860 phase=D_mixed_covt + 87%|███████████████████████████▉ | 7860/9000 [6:48:38<57:01, 3.00s/it][Dataset] cur_step=7860 phase=D_mixed_covt +[Dataset] cur_step=7860 phase=D_mixed_covt[Dataset] cur_step=7860 phase=D_mixed_covt + +[Dataset] cur_step=7860 phase=D_mixed_covt +[Dataset] cur_step=7860 phase=D_mixed_covt +[Dataset] cur_step=7860 phase=D_mixed_covt + {'loss': '3.526', 'grad_norm': '2.408', 'learning_rate': '2.161e-06', 'epoch': '0.2828'} + 87%|███████████████████████████▉ | 7860/9000 [6:48:38<57:01, 3.00s/it] {'lm_loss': '0.2567', 'visual_loss': '2.776', 'seg_loss': '0.7548', 'dino_loss': '0.93', 'depth_loss': '0.3744', 'vggt_mse_loss': '0.3718', 'vggt_cos_loss': '0.02603', 'pidinet_loss': '0.271', 'siglip_loss': '0.4458', 'epoch': '0.2828'} + 87%|███████████████████████████▉ | 7860/9000 [6:48:40<57:01, 3.00s/it][Dataset] cur_step=7861 phase=D_mixed_covt[Dataset] cur_step=7861 phase=D_mixed_covt + + 87%|███████████████████████████▉ | 7861/9000 [6:48:41<54:34, 2.87s/it][Dataset] cur_step=7861 phase=D_mixed_covt +[Dataset] cur_step=7861 phase=D_mixed_covt +[Dataset] cur_step=7861 phase=D_mixed_covt +[Dataset] cur_step=7861 phase=D_mixed_covt +[Dataset] cur_step=7861 phase=D_mixed_covt +[Dataset] cur_step=7861 phase=D_mixed_covt + {'loss': '3.154', 'grad_norm': '3.223', 'learning_rate': '2.158e-06', 'epoch': '0.2828'} + 87%|███████████████████████████▉ | 7861/9000 [6:48:41<54:34, 2.87s/it] {'lm_loss': '0.6734', 'visual_loss': '2.318', 'seg_loss': '0.843', 'dino_loss': '0.844', 'depth_loss': '0.1205', 'vggt_mse_loss': '0.1199', 'vggt_cos_loss': '0.00636', 'pidinet_loss': '0', 'siglip_loss': '0.5108', 'epoch': '0.2828'} + 87%|███████████████████████████▉ | 7861/9000 [6:48:42<54:34, 2.87s/it][Dataset] cur_step=7862 phase=D_mixed_covt[Dataset] cur_step=7862 phase=D_mixed_covt + +[Dataset] cur_step=7862 phase=D_mixed_covt + 87%|███████████████████████████▉ | 7862/9000 [6:48:43<48:24, 2.55s/it][Dataset] cur_step=7862 phase=D_mixed_covt +[Dataset] cur_step=7862 phase=D_mixed_covt +[Dataset] cur_step=7862 phase=D_mixed_covt +[Dataset] cur_step=7862 phase=D_mixed_covt +[Dataset] cur_step=7862 phase=D_mixed_covt + {'loss': '2.935', 'grad_norm': '10.29', 'learning_rate': '2.154e-06', 'epoch': '0.2828'} + 87%|███████████████████████████▉ | 7862/9000 [6:48:43<48:24, 2.55s/it] {'lm_loss': '0.957', 'visual_loss': '2.299', 'seg_loss': '0.4431', 'dino_loss': '0.9034', 'depth_loss': '0.1447', 'vggt_mse_loss': '0.1441', 'vggt_cos_loss': '0.005439', 'pidinet_loss': '0.1971', 'siglip_loss': '0.6105', 'epoch': '0.2828'} + 87%|███████████████████████████▉ | 7862/9000 [6:48:44<48:24, 2.55s/it][Dataset] cur_step=7863 phase=D_mixed_covt + 87%|███████████████████████████▉ | 7863/9000 [6:48:45<44:23, 2.34s/it][Dataset] cur_step=7863 phase=D_mixed_covt +[Dataset] cur_step=7863 phase=D_mixed_covt +[Dataset] cur_step=7863 phase=D_mixed_covt +[Dataset] cur_step=7863 phase=D_mixed_covt +[Dataset] cur_step=7863 phase=D_mixed_covt +[Dataset] cur_step=7863 phase=D_mixed_covt +[Dataset] cur_step=7863 phase=D_mixed_covt + {'loss': '3.746', 'grad_norm': '4.81', 'learning_rate': '2.15e-06', 'epoch': '0.2829'} + 87%|███████████████████████████▉ | 7863/9000 [6:48:45<44:23, 2.34s/it] {'lm_loss': '1.154', 'visual_loss': '1.804', 'seg_loss': '0.646', 'dino_loss': '0', 'depth_loss': '0.1441', 'vggt_mse_loss': '0.143', 'vggt_cos_loss': '0.01028', 'pidinet_loss': '0.2944', 'siglip_loss': '0.7194', 'epoch': '0.2829'} + 87%|███████████████████████████▉ | 7863/9000 [6:48:46<44:23, 2.34s/it][Dataset] cur_step=7864 phase=D_mixed_covt +[Dataset] cur_step=7864 phase=D_mixed_covt +[Dataset] cur_step=7864 phase=D_mixed_covt +[Dataset] cur_step=7864 phase=D_mixed_covt +[Dataset] cur_step=7864 phase=D_mixed_covt +[Dataset] cur_step=7864 phase=D_mixed_covt + 87%|███████████████████████████▉ | 7864/9000 [6:48:47<45:24, 2.40s/it][Dataset] cur_step=7864 phase=D_mixed_covt +[Dataset] cur_step=7864 phase=D_mixed_covt + {'loss': '2.566', 'grad_norm': '3.396', 'learning_rate': '2.146e-06', 'epoch': '0.2829'} + 87%|███████████████████████████▉ | 7864/9000 [6:48:47<45:24, 2.40s/it] {'lm_loss': '0.6098', 'visual_loss': '2.817', 'seg_loss': '0.8898', 'dino_loss': '0.9007', 'depth_loss': '0.1983', 'vggt_mse_loss': '0.1968', 'vggt_cos_loss': '0.01472', 'pidinet_loss': '0.272', 'siglip_loss': '0.5566', 'epoch': '0.2829'} + 87%|███████████████████████████▉ | 7864/9000 [6:48:49<45:24, 2.40s/it][Dataset] cur_step=7865 phase=D_mixed_covt +[Dataset] cur_step=7865 phase=D_mixed_covt +[Dataset] cur_step=7865 phase=D_mixed_covt[Dataset] cur_step=7865 phase=D_mixed_covt + + 87%|███████████████████████████▉ | 7865/9000 [6:48:50<46:09, 2.44s/it][Dataset] cur_step=7865 phase=D_mixed_covt +[Dataset] cur_step=7865 phase=D_mixed_covt +[Dataset] cur_step=7865 phase=D_mixed_covt[Dataset] cur_step=7865 phase=D_mixed_covt + + {'loss': '3.058', 'grad_norm': '2.652', 'learning_rate': '2.143e-06', 'epoch': '0.2829'} + 87%|███████████████████████████▉ | 7865/9000 [6:48:50<46:09, 2.44s/it] {'lm_loss': '1.087', 'visual_loss': '2.67', 'seg_loss': '0.6507', 'dino_loss': '0.8797', 'depth_loss': '0.2625', 'vggt_mse_loss': '0.2604', 'vggt_cos_loss': '0.02052', 'pidinet_loss': '0.1937', 'siglip_loss': '0.6839', 'epoch': '0.2829'} + 87%|███████████████████████████▉ | 7865/9000 [6:48:52<46:09, 2.44s/it][Dataset] cur_step=7866 phase=D_mixed_covt + 87%|███████████████████████████▉ | 7866/9000 [6:48:52<48:14, 2.55s/it][Dataset] cur_step=7866 phase=D_mixed_covt +[Dataset] cur_step=7866 phase=D_mixed_covt +[Dataset] cur_step=7866 phase=D_mixed_covt +[Dataset] cur_step=7866 phase=D_mixed_covt +[Dataset] cur_step=7866 phase=D_mixed_covt +[Dataset] cur_step=7866 phase=D_mixed_covt +[Dataset] cur_step=7866 phase=D_mixed_covt + {'loss': '3.202', 'grad_norm': '2.522', 'learning_rate': '2.139e-06', 'epoch': '0.283'} + 87%|███████████████████████████▉ | 7866/9000 [6:48:52<48:14, 2.55s/it] {'lm_loss': '0.08507', 'visual_loss': '2.579', 'seg_loss': '0.6744', 'dino_loss': '0.8702', 'depth_loss': '0.1897', 'vggt_mse_loss': '0.1882', 'vggt_cos_loss': '0.01555', 'pidinet_loss': '0.2712', 'siglip_loss': '0.5731', 'epoch': '0.283'} + 87%|███████████████████████████▉ | 7866/9000 [6:48:54<48:14, 2.55s/it][Dataset] cur_step=7867 phase=D_mixed_covt[Dataset] cur_step=7867 phase=D_mixed_covt + +[Dataset] cur_step=7867 phase=D_mixed_covt +[Dataset] cur_step=7867 phase=D_mixed_covt + 87%|███████████████████████████▉ | 7867/9000 [6:48:54<44:33, 2.36s/it][Dataset] cur_step=7867 phase=D_mixed_covt +[Dataset] cur_step=7867 phase=D_mixed_covt +[Dataset] cur_step=7867 phase=D_mixed_covt +[Dataset] cur_step=7867 phase=D_mixed_covt + {'loss': '2.842', 'grad_norm': '22.47', 'learning_rate': '2.135e-06', 'epoch': '0.283'} + 87%|███████████████████████████▉ | 7867/9000 [6:48:54<44:33, 2.36s/it] {'lm_loss': '0.759', 'visual_loss': '3.069', 'seg_loss': '0.6702', 'dino_loss': '0.9183', 'depth_loss': '0.4139', 'vggt_mse_loss': '0.4101', 'vggt_cos_loss': '0.03784', 'pidinet_loss': '0.2437', 'siglip_loss': '0.8224', 'epoch': '0.283'} + 87%|███████████████████████████▉ | 7867/9000 [6:48:57<44:33, 2.36s/it][Dataset] cur_step=7868 phase=D_mixed_covt +[Dataset] cur_step=7868 phase=D_mixed_covt[Dataset] cur_step=7868 phase=D_mixed_covt + + 87%|███████████████████████████▉ | 7868/9000 [6:48:57<46:34, 2.47s/it][Dataset] cur_step=7868 phase=D_mixed_covt[Dataset] cur_step=7868 phase=D_mixed_covt +[Dataset] cur_step=7868 phase=D_mixed_covt + +[Dataset] cur_step=7868 phase=D_mixed_covt +[Dataset] cur_step=7868 phase=D_mixed_covt + {'loss': '3.527', 'grad_norm': '5.51', 'learning_rate': '2.132e-06', 'epoch': '0.2831'} + 87%|███████████████████████████▉ | 7868/9000 [6:48:57<46:34, 2.47s/it] {'lm_loss': '0.76', 'visual_loss': '2.466', 'seg_loss': '0.5127', 'dino_loss': '0.8806', 'depth_loss': '0.2413', 'vggt_mse_loss': '0.2402', 'vggt_cos_loss': '0.01058', 'pidinet_loss': '0.1889', 'siglip_loss': '0.6424', 'epoch': '0.2831'} + 87%|███████████████████████████▉ | 7868/9000 [6:48:59<46:34, 2.47s/it][Dataset] cur_step=7869 phase=D_mixed_covt[Dataset] cur_step=7869 phase=D_mixed_covt + + 87%|███████████████████████████▉ | 7869/9000 [6:48:59<43:49, 2.32s/it][Dataset] cur_step=7869 phase=D_mixed_covt +[Dataset] cur_step=7869 phase=D_mixed_covt +[Dataset] cur_step=7869 phase=D_mixed_covt +[Dataset] cur_step=7869 phase=D_mixed_covt +[Dataset] cur_step=7869 phase=D_mixed_covt +[Dataset] cur_step=7869 phase=D_mixed_covt + {'loss': '2.96', 'grad_norm': '3.15', 'learning_rate': '2.128e-06', 'epoch': '0.2831'} + 87%|███████████████████████████▉ | 7869/9000 [6:48:59<43:49, 2.32s/it] {'lm_loss': '0.896', 'visual_loss': '2.917', 'seg_loss': '0.7154', 'dino_loss': '0.8997', 'depth_loss': '0.208', 'vggt_mse_loss': '0.2068', 'vggt_cos_loss': '0.01208', 'pidinet_loss': '0.2372', 'siglip_loss': '0.8571', 'epoch': '0.2831'} + 87%|███████████████████████████▉ | 7869/9000 [6:49:00<43:49, 2.32s/it][Dataset] cur_step=7870 phase=D_mixed_covt +[Dataset] cur_step=7870 phase=D_mixed_covt +[Dataset] cur_step=7870 phase=D_mixed_covt[Dataset] cur_step=7870 phase=D_mixed_covt + 87%|███████████████████████████▉ | 7870/9000 [6:49:01<40:47, 2.17s/it] +[Dataset] cur_step=7870 phase=D_mixed_covt +[Dataset] cur_step=7870 phase=D_mixed_covt +[Dataset] cur_step=7870 phase=D_mixed_covt +[Dataset] cur_step=7870 phase=D_mixed_covt + {'loss': '3.488', 'grad_norm': '5.938', 'learning_rate': '2.124e-06', 'epoch': '0.2831'} + 87%|███████████████████████████▉ | 7870/9000 [6:49:01<40:47, 2.17s/it] {'lm_loss': '0.807', 'visual_loss': '2.547', 'seg_loss': '0.7113', 'dino_loss': '0.9305', 'depth_loss': '0.2916', 'vggt_mse_loss': '0.2891', 'vggt_cos_loss': '0.02547', 'pidinet_loss': '0.2456', 'siglip_loss': '0.3681', 'epoch': '0.2831'} + 87%|███████████████████████████▉ | 7870/9000 [6:49:04<40:47, 2.17s/it][Dataset] cur_step=7871 phase=D_mixed_covt +[Dataset] cur_step=7871 phase=D_mixed_covt +[Dataset] cur_step=7871 phase=D_mixed_covt +[Dataset] cur_step=7871 phase=D_mixed_covt + 87%|███████████████████████████▉ | 7871/9000 [6:49:04<48:01, 2.55s/it][Dataset] cur_step=7871 phase=D_mixed_covt +[Dataset] cur_step=7871 phase=D_mixed_covt +[Dataset] cur_step=7871 phase=D_mixed_covt +[Dataset] cur_step=7871 phase=D_mixed_covt + {'loss': '3.292', 'grad_norm': '3.435', 'learning_rate': '2.12e-06', 'epoch': '0.2832'} + 87%|███████████████████████████▉ | 7871/9000 [6:49:04<48:01, 2.55s/it] {'lm_loss': '0.8572', 'visual_loss': '2.478', 'seg_loss': '0.6439', 'dino_loss': '0.89', 'depth_loss': '0.1325', 'vggt_mse_loss': '0.1314', 'vggt_cos_loss': '0.01042', 'pidinet_loss': '0.2654', 'siglip_loss': '0.5459', 'epoch': '0.2832'} + 87%|███████████████████████████▉ | 7871/9000 [6:49:06<48:01, 2.55s/it][Dataset] cur_step=7872 phase=D_mixed_covt +[Dataset] cur_step=7872 phase=D_mixed_covt +[Dataset] cur_step=7872 phase=D_mixed_covt +[Dataset] cur_step=7872 phase=D_mixed_covt +[Dataset] cur_step=7872 phase=D_mixed_covt +[Dataset] cur_step=7872 phase=D_mixed_covt +[Dataset] cur_step=7872 phase=D_mixed_covt + 87%|███████████████████████████▉ | 7872/9000 [6:49:06<44:29, 2.37s/it][Dataset] cur_step=7872 phase=D_mixed_covt + {'loss': '3.178', 'grad_norm': '3.647', 'learning_rate': '2.117e-06', 'epoch': '0.2832'} + 87%|███████████████████████████▉ | 7872/9000 [6:49:06<44:29, 2.37s/it] {'lm_loss': '0.07759', 'visual_loss': '2.682', 'seg_loss': '0.7479', 'dino_loss': '0.915', 'depth_loss': '0.2163', 'vggt_mse_loss': '0.2148', 'vggt_cos_loss': '0.01474', 'pidinet_loss': '0.263', 'siglip_loss': '0.5401', 'epoch': '0.2832'} + 87%|███████████████████████████▉ | 7872/9000 [6:49:08<44:29, 2.37s/it][Dataset] cur_step=7873 phase=D_mixed_covt +[Dataset] cur_step=7873 phase=D_mixed_covt +[Dataset] cur_step=7873 phase=D_mixed_covt +[Dataset] cur_step=7873 phase=D_mixed_covt[Dataset] cur_step=7873 phase=D_mixed_covt 87%|███████████████████████████▉ | 7873/9000 [6:49:09<46:47, 2.49s/it] + +[Dataset] cur_step=7873 phase=D_mixed_covt +[Dataset] cur_step=7873 phase=D_mixed_covt +[Dataset] cur_step=7873 phase=D_mixed_covt + {'loss': '3.25', 'grad_norm': '2.448', 'learning_rate': '2.113e-06', 'epoch': '0.2832'} + 87%|███████████████████████████▉ | 7873/9000 [6:49:09<46:47, 2.49s/it] {'lm_loss': '1.17', 'visual_loss': '1.696', 'seg_loss': '0.836', 'dino_loss': '0', 'depth_loss': '0.1855', 'vggt_mse_loss': '0.1843', 'vggt_cos_loss': '0.01184', 'pidinet_loss': '0.2573', 'siglip_loss': '0.4174', 'epoch': '0.2832'} + 87%|███████████████████████████▉ | 7873/9000 [6:49:12<46:47, 2.49s/it][Dataset] cur_step=7874 phase=D_mixed_covt +[Dataset] cur_step=7874 phase=D_mixed_covt +[Dataset] cur_step=7874 phase=D_mixed_covt + 87%|███████████████████████████▉ | 7874/9000 [6:49:12<51:24, 2.74s/it][Dataset] cur_step=7874 phase=D_mixed_covt +[Dataset] cur_step=7874 phase=D_mixed_covt +[Dataset] cur_step=7874 phase=D_mixed_covt +[Dataset] cur_step=7874 phase=D_mixed_covt[Dataset] cur_step=7874 phase=D_mixed_covt + + {'loss': '2.328', 'grad_norm': '8.316', 'learning_rate': '2.109e-06', 'epoch': '0.2833'} + 87%|███████████████████████████▉ | 7874/9000 [6:49:12<51:24, 2.74s/it] {'lm_loss': '0.6258', 'visual_loss': '2.814', 'seg_loss': '0.6274', 'dino_loss': '0.9334', 'depth_loss': '0.2691', 'vggt_mse_loss': '0.2671', 'vggt_cos_loss': '0.02008', 'pidinet_loss': '0.2313', 'siglip_loss': '0.7526', 'epoch': '0.2833'} + 87%|███████████████████████████▉ | 7874/9000 [6:49:16<51:24, 2.74s/it][Dataset] cur_step=7875 phase=D_mixed_covt +[Dataset] cur_step=7875 phase=D_mixed_covt +[Dataset] cur_step=7875 phase=D_mixed_covt[Dataset] cur_step=7875 phase=D_mixed_covt + + 88%|████████████████████████████ | 7875/9000 [6:49:16<58:58, 3.15s/it][Dataset] cur_step=7875 phase=D_mixed_covt +[Dataset] cur_step=7875 phase=D_mixed_covt +[Dataset] cur_step=7875 phase=D_mixed_covt +[Dataset] cur_step=7875 phase=D_mixed_covt + {'loss': '3.076', 'grad_norm': '2.341', 'learning_rate': '2.106e-06', 'epoch': '0.2833'} + 88%|████████████████████████████ | 7875/9000 [6:49:16<58:58, 3.15s/it] {'lm_loss': '0.9912', 'visual_loss': '2.309', 'seg_loss': '0.6516', 'dino_loss': '0.9296', 'depth_loss': '0.183', 'vggt_mse_loss': '0.182', 'vggt_cos_loss': '0.01073', 'pidinet_loss': '0.06039', 'siglip_loss': '0.4844', 'epoch': '0.2833'} + 88%|████████████████████████████ | 7875/9000 [6:49:18<58:58, 3.15s/it][Dataset] cur_step=7876 phase=D_mixed_covt[Dataset] cur_step=7876 phase=D_mixed_covt + +[Dataset] cur_step=7876 phase=D_mixed_covt[Dataset] cur_step=7876 phase=D_mixed_covt + + 88%|████████████████████████████ | 7876/9000 [6:49:18<51:31, 2.75s/it][Dataset] cur_step=7876 phase=D_mixed_covt[Dataset] cur_step=7876 phase=D_mixed_covt + +[Dataset] cur_step=7876 phase=D_mixed_covt +[Dataset] cur_step=7876 phase=D_mixed_covt + {'loss': '3.354', 'grad_norm': '3.093', 'learning_rate': '2.102e-06', 'epoch': '0.2833'} + 88%|████████████████████████████ | 7876/9000 [6:49:18<51:31, 2.75s/it] {'lm_loss': '0.3512', 'visual_loss': '2.523', 'seg_loss': '0.6572', 'dino_loss': '0.9164', 'depth_loss': '0.2593', 'vggt_mse_loss': '0.2571', 'vggt_cos_loss': '0.02199', 'pidinet_loss': '0.1868', 'siglip_loss': '0.5031', 'epoch': '0.2833'} + 88%|████████████████████████████ | 7876/9000 [6:49:21<51:31, 2.75s/it][Dataset] cur_step=7877 phase=D_mixed_covt +[Dataset] cur_step=7877 phase=D_mixed_covt + 88%|████████████████████████████ | 7877/9000 [6:49:21<51:09, 2.73s/it][Dataset] cur_step=7877 phase=D_mixed_covt +[Dataset] cur_step=7877 phase=D_mixed_covt[Dataset] cur_step=7877 phase=D_mixed_covt + +[Dataset] cur_step=7877 phase=D_mixed_covt +[Dataset] cur_step=7877 phase=D_mixed_covt +[Dataset] cur_step=7877 phase=D_mixed_covt + {'loss': '3.018', 'grad_norm': '4.543', 'learning_rate': '2.098e-06', 'epoch': '0.2834'} + 88%|████████████████████████████ | 7877/9000 [6:49:21<51:09, 2.73s/it] {'lm_loss': '0.6784', 'visual_loss': '2.727', 'seg_loss': '0.6987', 'dino_loss': '0.9205', 'depth_loss': '0.3639', 'vggt_mse_loss': '0.3618', 'vggt_cos_loss': '0.02091', 'pidinet_loss': '0.182', 'siglip_loss': '0.5622', 'epoch': '0.2834'} + 88%|████████████████████████████ | 7877/9000 [6:49:22<51:09, 2.73s/it][Dataset] cur_step=7878 phase=D_mixed_covt +[Dataset] cur_step=7878 phase=D_mixed_covt +[Dataset] cur_step=7878 phase=D_mixed_covt +[Dataset] cur_step=7878 phase=D_mixed_covt + 88%|██████████████████████████▎ | 7878/9000 [6:49:27<1:08:25, 3.66s/it][Dataset] cur_step=7878 phase=D_mixed_covt +[Dataset] cur_step=7878 phase=D_mixed_covt +[Dataset] cur_step=7878 phase=D_mixed_covt +[Dataset] cur_step=7878 phase=D_mixed_covt + {'loss': '3.282', 'grad_norm': '3.66', 'learning_rate': '2.095e-06', 'epoch': '0.2834'} + 88%|██████████████████████████▎ | 7878/9000 [6:49:27<1:08:25, 3.66s/it] {'lm_loss': '0.7431', 'visual_loss': '2.569', 'seg_loss': '0.7775', 'dino_loss': '0.9219', 'depth_loss': '0.3667', 'vggt_mse_loss': '0.3637', 'vggt_cos_loss': '0.03006', 'pidinet_loss': '0.1704', 'siglip_loss': '0.3325', 'epoch': '0.2834'} + 88%|██████████████████████████▎ | 7878/9000 [6:49:28<1:08:25, 3.66s/it][Dataset] cur_step=7879 phase=D_mixed_covt[Dataset] cur_step=7879 phase=D_mixed_covt + + 88%|████████████████████████████ | 7879/9000 [6:49:29<58:03, 3.11s/it][Dataset] cur_step=7879 phase=D_mixed_covt +[Dataset] cur_step=7879 phase=D_mixed_covt +[Dataset] cur_step=7879 phase=D_mixed_covt +[Dataset] cur_step=7879 phase=D_mixed_covt +[Dataset] cur_step=7879 phase=D_mixed_covt +[Dataset] cur_step=7879 phase=D_mixed_covt + {'loss': '3.406', 'grad_norm': '4.376', 'learning_rate': '2.091e-06', 'epoch': '0.2834'} + 88%|████████████████████████████ | 7879/9000 [6:49:29<58:03, 3.11s/it] {'lm_loss': '0.9043', 'visual_loss': '2.035', 'seg_loss': '0', 'dino_loss': '0.8966', 'depth_loss': '0.1897', 'vggt_mse_loss': '0.1885', 'vggt_cos_loss': '0.01246', 'pidinet_loss': '0.2301', 'siglip_loss': '0.7185', 'epoch': '0.2834'} + 88%|████████████████████████████ | 7879/9000 [6:49:29<58:03, 3.11s/it][Dataset] cur_step=7880 phase=D_mixed_covt +[Dataset] cur_step=7880 phase=D_mixed_covt[Dataset] cur_step=7880 phase=D_mixed_covt + +[Dataset] cur_step=7880 phase=D_mixed_covt +[Dataset] cur_step=7880 phase=D_mixed_covt[Dataset] cur_step=7880 phase=D_mixed_covt + + 88%|████████████████████████████ | 7880/9000 [6:49:30<46:50, 2.51s/it][Dataset] cur_step=7880 phase=D_mixed_covt +[Dataset] cur_step=7880 phase=D_mixed_covt + {'loss': '2.424', 'grad_norm': '7.225', 'learning_rate': '2.087e-06', 'epoch': '0.2835'} + 88%|████████████████████████████ | 7880/9000 [6:49:30<46:50, 2.51s/it] {'lm_loss': '0.7469', 'visual_loss': '2.473', 'seg_loss': '0.875', 'dino_loss': '0.873', 'depth_loss': '0.1585', 'vggt_mse_loss': '0.1578', 'vggt_cos_loss': '0.006652', 'pidinet_loss': '0.247', 'siglip_loss': '0.319', 'epoch': '0.2835'} + 88%|████████████████████████████ | 7880/9000 [6:49:31<46:50, 2.51s/it][Dataset] cur_step=7881 phase=D_mixed_covt +[Dataset] cur_step=7881 phase=D_mixed_covt[Dataset] cur_step=7881 phase=D_mixed_covt[Dataset] cur_step=7881 phase=D_mixed_covt + + +[Dataset] cur_step=7881 phase=D_mixed_covt + 88%|████████████████████████████ | 7881/9000 [6:49:32<43:14, 2.32s/it][Dataset] cur_step=7881 phase=D_mixed_covt[Dataset] cur_step=7881 phase=D_mixed_covt + +[Dataset] cur_step=7881 phase=D_mixed_covt + {'loss': '3.407', 'grad_norm': '3.368', 'learning_rate': '2.084e-06', 'epoch': '0.2835'} + 88%|████████████████████████████ | 7881/9000 [6:49:32<43:14, 2.32s/it] {'lm_loss': '1.035', 'visual_loss': '2.724', 'seg_loss': '0.7589', 'dino_loss': '0.9462', 'depth_loss': '0.2954', 'vggt_mse_loss': '0.2935', 'vggt_cos_loss': '0.01926', 'pidinet_loss': '0.2737', 'siglip_loss': '0.4498', 'epoch': '0.2835'} + 88%|████████████████████████████ | 7881/9000 [6:49:33<43:14, 2.32s/it][Dataset] cur_step=7882 phase=D_mixed_covt +[Dataset] cur_step=7882 phase=D_mixed_covt +[Dataset] cur_step=7882 phase=D_mixed_covt +[Dataset] cur_step=7882 phase=D_mixed_covt + 88%|████████████████████████████ | 7882/9000 [6:49:37<58:42, 3.15s/it][Dataset] cur_step=7882 phase=D_mixed_covt +[Dataset] cur_step=7882 phase=D_mixed_covt +[Dataset] cur_step=7882 phase=D_mixed_covt +[Dataset] cur_step=7882 phase=D_mixed_covt + {'loss': '3.302', 'grad_norm': '11.35', 'learning_rate': '2.08e-06', 'epoch': '0.2836'} + 88%|████████████████████████████ | 7882/9000 [6:49:37<58:42, 3.15s/it] {'lm_loss': '1.076', 'visual_loss': '2.206', 'seg_loss': '0.709', 'dino_loss': '0.8925', 'depth_loss': '0.1683', 'vggt_mse_loss': '0.1673', 'vggt_cos_loss': '0.01024', 'pidinet_loss': '0.2103', 'siglip_loss': '0.2257', 'epoch': '0.2836'} + 88%|████████████████████████████ | 7882/9000 [6:49:38<58:42, 3.15s/it][Dataset] cur_step=7883 phase=D_mixed_covt +[Dataset] cur_step=7883 phase=D_mixed_covt +[Dataset] cur_step=7883 phase=D_mixed_covt[Dataset] cur_step=7883 phase=D_mixed_covt + +[Dataset] cur_step=7883 phase=D_mixed_covt + 88%|████████████████████████████ | 7883/9000 [6:49:39<54:44, 2.94s/it][Dataset] cur_step=7883 phase=D_mixed_covt +[Dataset] cur_step=7883 phase=D_mixed_covt +[Dataset] cur_step=7883 phase=D_mixed_covt + {'loss': '2.951', 'grad_norm': '3.809', 'learning_rate': '2.076e-06', 'epoch': '0.2836'} + 88%|████████████████████████████ | 7883/9000 [6:49:39<54:44, 2.94s/it] {'lm_loss': '0.4012', 'visual_loss': '2.678', 'seg_loss': '0.631', 'dino_loss': '0.896', 'depth_loss': '0.2276', 'vggt_mse_loss': '0.2262', 'vggt_cos_loss': '0.01469', 'pidinet_loss': '0.2437', 'siglip_loss': '0.6798', 'epoch': '0.2836'} + 88%|████████████████████████████ | 7883/9000 [6:49:42<54:44, 2.94s/it][Dataset] cur_step=7884 phase=D_mixed_covt +[Dataset] cur_step=7884 phase=D_mixed_covt +[Dataset] cur_step=7884 phase=D_mixed_covt +[Dataset] cur_step=7884 phase=D_mixed_covt +[Dataset] cur_step=7884 phase=D_mixed_covt + 88%|██████████████████████████▎ | 7884/9000 [6:49:43<1:00:51, 3.27s/it][Dataset] cur_step=7884 phase=D_mixed_covt +[Dataset] cur_step=7884 phase=D_mixed_covt +[Dataset] cur_step=7884 phase=D_mixed_covt + {'loss': '2.912', 'grad_norm': '2.147', 'learning_rate': '2.073e-06', 'epoch': '0.2836'} + 88%|██████████████████████████▎ | 7884/9000 [6:49:43<1:00:51, 3.27s/it] {'lm_loss': '0.5426', 'visual_loss': '2.822', 'seg_loss': '0.899', 'dino_loss': '0.9367', 'depth_loss': '0.2368', 'vggt_mse_loss': '0.2347', 'vggt_cos_loss': '0.02104', 'pidinet_loss': '0.249', 'siglip_loss': '0.5002', 'epoch': '0.2836'} + 88%|██████████████████████████▎ | 7884/9000 [6:49:44<1:00:51, 3.27s/it][Dataset] cur_step=7885 phase=D_mixed_covt +[Dataset] cur_step=7885 phase=D_mixed_covt + 88%|████████████████████████████ | 7885/9000 [6:49:46<55:53, 3.01s/it][Dataset] cur_step=7885 phase=D_mixed_covt +[Dataset] cur_step=7885 phase=D_mixed_covt +[Dataset] cur_step=7885 phase=D_mixed_covt +[Dataset] cur_step=7885 phase=D_mixed_covt +[Dataset] cur_step=7885 phase=D_mixed_covt +[Dataset] cur_step=7885 phase=D_mixed_covt + {'loss': '3.459', 'grad_norm': '3.853', 'learning_rate': '2.069e-06', 'epoch': '0.2837'} + 88%|████████████████████████████ | 7885/9000 [6:49:46<55:53, 3.01s/it] {'lm_loss': '0.9503', 'visual_loss': '0.1958', 'seg_loss': '0', 'dino_loss': '0', 'depth_loss': '0.1958', 'vggt_mse_loss': '0.1939', 'vggt_cos_loss': '0.01893', 'pidinet_loss': '0', 'siglip_loss': '0', 'epoch': '0.2837'} + 88%|████████████████████████████ | 7885/9000 [6:49:46<55:53, 3.01s/it][Dataset] cur_step=7886 phase=D_mixed_covt +[Dataset] cur_step=7886 phase=D_mixed_covt +[Dataset] cur_step=7886 phase=D_mixed_covt 88%|████████████████████████████ | 7886/9000 [6:49:47<45:05, 2.43s/it] +[Dataset] cur_step=7886 phase=D_mixed_covt +[Dataset] cur_step=7886 phase=D_mixed_covt +[Dataset] cur_step=7886 phase=D_mixed_covt +[Dataset] cur_step=7886 phase=D_mixed_covt +[Dataset] cur_step=7886 phase=D_mixed_covt + {'loss': '0.9733', 'grad_norm': '3.775', 'learning_rate': '2.065e-06', 'epoch': '0.2837'} + 88%|████████████████████████████ | 7886/9000 [6:49:47<45:05, 2.43s/it] {'lm_loss': '1.046', 'visual_loss': '1.838', 'seg_loss': '0', 'dino_loss': '0.9065', 'depth_loss': '0.164', 'vggt_mse_loss': '0.1631', 'vggt_cos_loss': '0.009419', 'pidinet_loss': '0.1911', 'siglip_loss': '0.5763', 'epoch': '0.2837'} + 88%|████████████████████████████ | 7886/9000 [6:49:48<45:05, 2.43s/it][Dataset] cur_step=7887 phase=D_mixed_covt +[Dataset] cur_step=7887 phase=D_mixed_covt +[Dataset] cur_step=7887 phase=D_mixed_covt +[Dataset] cur_step=7887 phase=D_mixed_covt +[Dataset] cur_step=7887 phase=D_mixed_covt +[Dataset] cur_step=7887 phase=D_mixed_covt +[Dataset] cur_step=7887 phase=D_mixed_covt +[Dataset] cur_step=7887 phase=D_mixed_covt + 88%|████████████████████████████ | 7887/9000 [6:49:51<53:23, 2.88s/it] {'loss': '2.282', 'grad_norm': '2.715', 'learning_rate': '2.062e-06', 'epoch': '0.2837'} + 88%|████████████████████████████ | 7887/9000 [6:49:51<53:23, 2.88s/it] {'lm_loss': '1.014', 'visual_loss': '1.929', 'seg_loss': '0', 'dino_loss': '0.9477', 'depth_loss': '0.2393', 'vggt_mse_loss': '0.2379', 'vggt_cos_loss': '0.01369', 'pidinet_loss': '0.2349', 'siglip_loss': '0.5066', 'epoch': '0.2837'} + 88%|████████████████████████████ | 7887/9000 [6:49:51<53:23, 2.88s/it][Dataset] cur_step=7888 phase=D_mixed_covt + 88%|████████████████████████████ | 7888/9000 [6:49:52<44:48, 2.42s/it][Dataset] cur_step=7888 phase=D_mixed_covt[Dataset] cur_step=7888 phase=D_mixed_covt + +[Dataset] cur_step=7888 phase=D_mixed_covt +[Dataset] cur_step=7888 phase=D_mixed_covt +[Dataset] cur_step=7888 phase=D_mixed_covt +[Dataset] cur_step=7888 phase=D_mixed_covt +[Dataset] cur_step=7888 phase=D_mixed_covt + {'loss': '2.946', 'grad_norm': '5.779', 'learning_rate': '2.058e-06', 'epoch': '0.2838'} + 88%|████████████████████████████ | 7888/9000 [6:49:52<44:48, 2.42s/it] {'lm_loss': '0.8479', 'visual_loss': '2.438', 'seg_loss': '0.5591', 'dino_loss': '0.878', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2807', 'siglip_loss': '0.7206', 'epoch': '0.2838'} + 88%|████████████████████████████ | 7888/9000 [6:49:55<44:48, 2.42s/it][Dataset] cur_step=7889 phase=D_mixed_covt +[Dataset] cur_step=7889 phase=D_mixed_covt + 88%|████████████████████████████ | 7889/9000 [6:49:55<49:58, 2.70s/it][Dataset] cur_step=7889 phase=D_mixed_covt[Dataset] cur_step=7889 phase=D_mixed_covt + +[Dataset] cur_step=7889 phase=D_mixed_covt +[Dataset] cur_step=7889 phase=D_mixed_covt +[Dataset] cur_step=7889 phase=D_mixed_covt +[Dataset] cur_step=7889 phase=D_mixed_covt + {'loss': '3.353', 'grad_norm': '6.741', 'learning_rate': '2.054e-06', 'epoch': '0.2838'} + 88%|████████████████████████████ | 7889/9000 [6:49:55<49:58, 2.70s/it] {'lm_loss': '0.8189', 'visual_loss': '2.906', 'seg_loss': '0.74', 'dino_loss': '0.9504', 'depth_loss': '0.393', 'vggt_mse_loss': '0.3904', 'vggt_cos_loss': '0.02588', 'pidinet_loss': '0.2416', 'siglip_loss': '0.5812', 'epoch': '0.2838'} + 88%|████████████████████████████ | 7889/9000 [6:49:57<49:58, 2.70s/it][Dataset] cur_step=7890 phase=D_mixed_covt +[Dataset] cur_step=7890 phase=D_mixed_covt +[Dataset] cur_step=7890 phase=D_mixed_covt +[Dataset] cur_step=7890 phase=D_mixed_covt +[Dataset] cur_step=7890 phase=D_mixed_covt +[Dataset] cur_step=7890 phase=D_mixed_covt +[Dataset] cur_step=7890 phase=D_mixed_covt +[Dataset] cur_step=7890 phase=D_mixed_covt + 88%|████████████████████████████ | 7890/9000 [6:49:57<44:44, 2.42s/it] {'loss': '3.418', 'grad_norm': '7.235', 'learning_rate': '2.051e-06', 'epoch': '0.2838'} + 88%|████████████████████████████ | 7890/9000 [6:49:57<44:44, 2.42s/it] {'lm_loss': '0.3362', 'visual_loss': '2.592', 'seg_loss': '0.6095', 'dino_loss': '0.8888', 'depth_loss': '0.2232', 'vggt_mse_loss': '0.2218', 'vggt_cos_loss': '0.01351', 'pidinet_loss': '0.3225', 'siglip_loss': '0.5477', 'epoch': '0.2838'} + 88%|████████████████████████████ | 7890/9000 [6:50:00<44:44, 2.42s/it][Dataset] cur_step=7891 phase=D_mixed_covt + 88%|████████████████████████████ | 7891/9000 [6:50:01<50:40, 2.74s/it][Dataset] cur_step=7891 phase=D_mixed_covt +[Dataset] cur_step=7891 phase=D_mixed_covt +[Dataset] cur_step=7891 phase=D_mixed_covt +[Dataset] cur_step=7891 phase=D_mixed_covt +[Dataset] cur_step=7891 phase=D_mixed_covt +[Dataset] cur_step=7891 phase=D_mixed_covt +[Dataset] cur_step=7891 phase=D_mixed_covt + {'loss': '3.228', 'grad_norm': '3.324', 'learning_rate': '2.047e-06', 'epoch': '0.2839'} + 88%|████████████████████████████ | 7891/9000 [6:50:01<50:40, 2.74s/it] {'lm_loss': '0.8887', 'visual_loss': '2.316', 'seg_loss': '0.8476', 'dino_loss': '0.9784', 'depth_loss': '0.2109', 'vggt_mse_loss': '0.2092', 'vggt_cos_loss': '0.01651', 'pidinet_loss': '0.279', 'siglip_loss': '0', 'epoch': '0.2839'} + 88%|████████████████████████████ | 7891/9000 [6:50:02<50:40, 2.74s/it][Dataset] cur_step=7892 phase=D_mixed_covt +[Dataset] cur_step=7892 phase=D_mixed_covt +[Dataset] cur_step=7892 phase=D_mixed_covt +[Dataset] cur_step=7892 phase=D_mixed_covt + 88%|████████████████████████████ | 7892/9000 [6:50:03<46:55, 2.54s/it][Dataset] cur_step=7892 phase=D_mixed_covt +[Dataset] cur_step=7892 phase=D_mixed_covt[Dataset] cur_step=7892 phase=D_mixed_covt + +[Dataset] cur_step=7892 phase=D_mixed_covt + {'loss': '2.548', 'grad_norm': '4.86', 'learning_rate': '2.043e-06', 'epoch': '0.2839'} + 88%|████████████████████████████ | 7892/9000 [6:50:03<46:55, 2.54s/it] {'lm_loss': '0.4592', 'visual_loss': '2.39', 'seg_loss': '0.6339', 'dino_loss': '0.8525', 'depth_loss': '0.2346', 'vggt_mse_loss': '0.2331', 'vggt_cos_loss': '0.01529', 'pidinet_loss': '0.2588', 'siglip_loss': '0.4101', 'epoch': '0.2839'} + 88%|████████████████████████████ | 7892/9000 [6:50:05<46:55, 2.54s/it][Dataset] cur_step=7893 phase=D_mixed_covt +[Dataset] cur_step=7893 phase=D_mixed_covt +[Dataset] cur_step=7893 phase=D_mixed_covt + 88%|████████████████████████████ | 7893/9000 [6:50:06<51:02, 2.77s/it][Dataset] cur_step=7893 phase=D_mixed_covt[Dataset] cur_step=7893 phase=D_mixed_covt + +[Dataset] cur_step=7893 phase=D_mixed_covt +[Dataset] cur_step=7893 phase=D_mixed_covt +[Dataset] cur_step=7893 phase=D_mixed_covt + {'loss': '3.132', 'grad_norm': '2.872', 'learning_rate': '2.04e-06', 'epoch': '0.284'} + 88%|████████████████████████████ | 7893/9000 [6:50:06<51:02, 2.77s/it] {'lm_loss': '0.5564', 'visual_loss': '2.524', 'seg_loss': '0.583', 'dino_loss': '0.9245', 'depth_loss': '0.2289', 'vggt_mse_loss': '0.2272', 'vggt_cos_loss': '0.01711', 'pidinet_loss': '0.1656', 'siglip_loss': '0.6225', 'epoch': '0.284'} + 88%|████████████████████████████ | 7893/9000 [6:50:08<51:02, 2.77s/it][Dataset] cur_step=7894 phase=D_mixed_covt +[Dataset] cur_step=7894 phase=D_mixed_covt 88%|████████████████████████████ | 7894/9000 [6:50:09<50:08, 2.72s/it] +[Dataset] cur_step=7894 phase=D_mixed_covt +[Dataset] cur_step=7894 phase=D_mixed_covt[Dataset] cur_step=7894 phase=D_mixed_covt +[Dataset] cur_step=7894 phase=D_mixed_covt + +[Dataset] cur_step=7894 phase=D_mixed_covt +[Dataset] cur_step=7894 phase=D_mixed_covt + {'loss': '3.249', 'grad_norm': '2.497', 'learning_rate': '2.036e-06', 'epoch': '0.284'} + 88%|████████████████████████████ | 7894/9000 [6:50:09<50:08, 2.72s/it] {'lm_loss': '0.6629', 'visual_loss': '1.806', 'seg_loss': '0.7014', 'dino_loss': '0.9195', 'depth_loss': '0.1854', 'vggt_mse_loss': '0.1841', 'vggt_cos_loss': '0.01326', 'pidinet_loss': '0', 'siglip_loss': '0', 'epoch': '0.284'} + 88%|████████████████████████████ | 7894/9000 [6:50:11<50:08, 2.72s/it][Dataset] cur_step=7895 phase=D_mixed_covt +[Dataset] cur_step=7895 phase=D_mixed_covt[Dataset] cur_step=7895 phase=D_mixed_covt + + 88%|████████████████████████████ | 7895/9000 [6:50:11<49:46, 2.70s/it][Dataset] cur_step=7895 phase=D_mixed_covt +[Dataset] cur_step=7895 phase=D_mixed_covt +[Dataset] cur_step=7895 phase=D_mixed_covt +[Dataset] cur_step=7895 phase=D_mixed_covt +[Dataset] cur_step=7895 phase=D_mixed_covt + {'loss': '2.409', 'grad_norm': '3.681', 'learning_rate': '2.032e-06', 'epoch': '0.284'} + 88%|████████████████████████████ | 7895/9000 [6:50:11<49:46, 2.70s/it] {'lm_loss': '0.5713', 'visual_loss': '2.616', 'seg_loss': '0.8823', 'dino_loss': '0.9079', 'depth_loss': '0.2784', 'vggt_mse_loss': '0.2769', 'vggt_cos_loss': '0.0142', 'pidinet_loss': '0.1904', 'siglip_loss': '0.3573', 'epoch': '0.284'} + 88%|████████████████████████████ | 7895/9000 [6:50:12<49:46, 2.70s/it][Dataset] cur_step=7896 phase=D_mixed_covt +[Dataset] cur_step=7896 phase=D_mixed_covt 88%|████████████████████████████ | 7896/9000 [6:50:13<44:42, 2.43s/it][Dataset] cur_step=7896 phase=D_mixed_covt + +[Dataset] cur_step=7896 phase=D_mixed_covt +[Dataset] cur_step=7896 phase=D_mixed_covt +[Dataset] cur_step=7896 phase=D_mixed_covt +[Dataset] cur_step=7896 phase=D_mixed_covt +[Dataset] cur_step=7896 phase=D_mixed_covt + {'loss': '3.384', 'grad_norm': '3.634', 'learning_rate': '2.029e-06', 'epoch': '0.2841'} + 88%|████████████████████████████ | 7896/9000 [6:50:15<44:42, 2.43s/it] {'lm_loss': '0.4837', 'visual_loss': '1.744', 'seg_loss': '0.8268', 'dino_loss': '0.9177', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0', 'siglip_loss': '0', 'epoch': '0.2841'} + 88%|████████████████████████████ | 7896/9000 [6:50:17<44:42, 2.43s/it][Dataset] cur_step=7897 phase=D_mixed_covt +[Dataset] cur_step=7897 phase=D_mixed_covt +[Dataset] cur_step=7897 phase=D_mixed_covt +[Dataset] cur_step=7897 phase=D_mixed_covt + 88%|████████████████████████████ | 7897/9000 [6:50:18<58:28, 3.18s/it][Dataset] cur_step=7897 phase=D_mixed_covt +[Dataset] cur_step=7897 phase=D_mixed_covt +[Dataset] cur_step=7897 phase=D_mixed_covt +[Dataset] cur_step=7897 phase=D_mixed_covt + {'loss': '2.342', 'grad_norm': '3.171', 'learning_rate': '2.025e-06', 'epoch': '0.2841'} + 88%|████████████████████████████ | 7897/9000 [6:50:18<58:28, 3.18s/it] {'lm_loss': '0.5288', 'visual_loss': '3.048', 'seg_loss': '0.7626', 'dino_loss': '0.9228', 'depth_loss': '0.579', 'vggt_mse_loss': '0.5756', 'vggt_cos_loss': '0.03372', 'pidinet_loss': '0.2155', 'siglip_loss': '0.5681', 'epoch': '0.2841'} + 88%|████████████████████████████ | 7897/9000 [6:50:21<58:28, 3.18s/it][Dataset] cur_step=7898 phase=D_mixed_covt +[Dataset] cur_step=7898 phase=D_mixed_covt + 88%|██████████████████████████▎ | 7898/9000 [6:50:22<1:01:05, 3.33s/it][Dataset] cur_step=7898 phase=D_mixed_covt[Dataset] cur_step=7898 phase=D_mixed_covt +[Dataset] cur_step=7898 phase=D_mixed_covt + +[Dataset] cur_step=7898 phase=D_mixed_covt +[Dataset] cur_step=7898 phase=D_mixed_covt +[Dataset] cur_step=7898 phase=D_mixed_covt + {'loss': '3.36', 'grad_norm': '9.177', 'learning_rate': '2.022e-06', 'epoch': '0.2841'} + 88%|██████████████████████████▎ | 7898/9000 [6:50:22<1:01:05, 3.33s/it] {'lm_loss': '0.5875', 'visual_loss': '2.348', 'seg_loss': '0.6875', 'dino_loss': '0.8987', 'depth_loss': '0.1547', 'vggt_mse_loss': '0.1537', 'vggt_cos_loss': '0.009882', 'pidinet_loss': '0.1951', 'siglip_loss': '0.4121', 'epoch': '0.2841'} + 88%|██████████████████████████▎ | 7898/9000 [6:50:24<1:01:05, 3.33s/it][Dataset] cur_step=7899 phase=D_mixed_covt + 88%|████████████████████████████ | 7899/9000 [6:50:24<57:40, 3.14s/it][Dataset] cur_step=7899 phase=D_mixed_covt +[Dataset] cur_step=7899 phase=D_mixed_covt +[Dataset] cur_step=7899 phase=D_mixed_covt +[Dataset] cur_step=7899 phase=D_mixed_covt +[Dataset] cur_step=7899 phase=D_mixed_covt +[Dataset] cur_step=7899 phase=D_mixed_covt +[Dataset] cur_step=7899 phase=D_mixed_covt + {'loss': '3.122', 'grad_norm': '4.144', 'learning_rate': '2.018e-06', 'epoch': '0.2842'} + 88%|████████████████████████████ | 7899/9000 [6:50:24<57:40, 3.14s/it] {'lm_loss': '0.9599', 'visual_loss': '2.935', 'seg_loss': '0.6632', 'dino_loss': '0.8922', 'depth_loss': '0.3139', 'vggt_mse_loss': '0.3121', 'vggt_cos_loss': '0.01752', 'pidinet_loss': '0.3947', 'siglip_loss': '0.6713', 'epoch': '0.2842'} + 88%|████████████████████████████ | 7899/9000 [6:50:26<57:40, 3.14s/it][Dataset] cur_step=7900 phase=D_mixed_covt +[Dataset] cur_step=7900 phase=D_mixed_covt[Dataset] cur_step=7900 phase=D_mixed_covt + +[Dataset] cur_step=7900 phase=D_mixed_covt +[Dataset] cur_step=7900 phase=D_mixed_covt[Dataset] cur_step=7900 phase=D_mixed_covt[Dataset] cur_step=7900 phase=D_mixed_covt + + + 88%|████████████████████████████ | 7900/9000 [6:50:27<55:55, 3.05s/it][Dataset] cur_step=7900 phase=D_mixed_covt + {'loss': '3.281', 'grad_norm': '4.96', 'learning_rate': '2.014e-06', 'epoch': '0.2842'} + 88%|████████████████████████████ | 7900/9000 [6:50:27<55:55, 3.05s/it] {'lm_loss': '1.338', 'visual_loss': '2.735', 'seg_loss': '0.8388', 'dino_loss': '0.8735', 'depth_loss': '0.1665', 'vggt_mse_loss': '0.1653', 'vggt_cos_loss': '0.01214', 'pidinet_loss': '0.2354', 'siglip_loss': '0.6204', 'epoch': '0.2842'} + 88%|████████████████████████████ | 7900/9000 [6:50:30<55:55, 3.05s/it][Dataset] cur_step=7901 phase=D_mixed_covt[Dataset] cur_step=7901 phase=D_mixed_covt + +[Dataset] cur_step=7901 phase=D_mixed_covt +[Dataset] cur_step=7901 phase=D_mixed_covt + 88%|████████████████████████████ | 7901/9000 [6:50:30<56:58, 3.11s/it][Dataset] cur_step=7901 phase=D_mixed_covt[Dataset] cur_step=7901 phase=D_mixed_covt + +[Dataset] cur_step=7901 phase=D_mixed_covt +[Dataset] cur_step=7901 phase=D_mixed_covt + {'loss': '3.188', 'grad_norm': '3.353', 'learning_rate': '2.011e-06', 'epoch': '0.2842'} + 88%|████████████████████████████ | 7901/9000 [6:50:30<56:58, 3.11s/it] {'lm_loss': '0.3128', 'visual_loss': '2.49', 'seg_loss': '0.6953', 'dino_loss': '0.9096', 'depth_loss': '0.2753', 'vggt_mse_loss': '0.2732', 'vggt_cos_loss': '0.02129', 'pidinet_loss': '0.2221', 'siglip_loss': '0.3874', 'epoch': '0.2842'} + 88%|████████████████████████████ | 7901/9000 [6:50:32<56:58, 3.11s/it][Dataset] cur_step=7902 phase=D_mixed_covt +[Dataset] cur_step=7902 phase=D_mixed_covt 88%|████████████████████████████ | 7902/9000 [6:50:33<54:43, 2.99s/it] +[Dataset] cur_step=7902 phase=D_mixed_covt +[Dataset] cur_step=7902 phase=D_mixed_covt +[Dataset] cur_step=7902 phase=D_mixed_covt +[Dataset] cur_step=7902 phase=D_mixed_covt +[Dataset] cur_step=7902 phase=D_mixed_covt +[Dataset] cur_step=7902 phase=D_mixed_covt + {'loss': '3.029', 'grad_norm': '6.121', 'learning_rate': '2.007e-06', 'epoch': '0.2843'} + 88%|████████████████████████████ | 7902/9000 [6:50:33<54:43, 2.99s/it] {'lm_loss': '0.479', 'visual_loss': '2.191', 'seg_loss': '0.5265', 'dino_loss': '0.8855', 'depth_loss': '0.3418', 'vggt_mse_loss': '0.3392', 'vggt_cos_loss': '0.02652', 'pidinet_loss': '0.09296', 'siglip_loss': '0.3439', 'epoch': '0.2843'} + 88%|████████████████████████████ | 7902/9000 [6:50:35<54:43, 2.99s/it][Dataset] cur_step=7903 phase=D_mixed_covt + 88%|████████████████████████████ | 7903/9000 [6:50:35<49:02, 2.68s/it][Dataset] cur_step=7903 phase=D_mixed_covt +[Dataset] cur_step=7903 phase=D_mixed_covt[Dataset] cur_step=7903 phase=D_mixed_covt + +[Dataset] cur_step=7903 phase=D_mixed_covt +[Dataset] cur_step=7903 phase=D_mixed_covt +[Dataset] cur_step=7903 phase=D_mixed_covt +[Dataset] cur_step=7903 phase=D_mixed_covt + {'loss': '3.295', 'grad_norm': '3.81', 'learning_rate': '2.004e-06', 'epoch': '0.2843'} + 88%|████████████████████████████ | 7903/9000 [6:50:35<49:02, 2.68s/it] {'lm_loss': '0.07534', 'visual_loss': '2.595', 'seg_loss': '0.7582', 'dino_loss': '0.9349', 'depth_loss': '0.2403', 'vggt_mse_loss': '0.2386', 'vggt_cos_loss': '0.01664', 'pidinet_loss': '0.2566', 'siglip_loss': '0.4047', 'epoch': '0.2843'} + 88%|████████████████████████████ | 7903/9000 [6:50:37<49:02, 2.68s/it][Dataset] cur_step=7904 phase=D_mixed_covt +[Dataset] cur_step=7904 phase=D_mixed_covt +[Dataset] cur_step=7904 phase=D_mixed_covt[Dataset] cur_step=7904 phase=D_mixed_covt +[Dataset] cur_step=7904 phase=D_mixed_covt +[Dataset] cur_step=7904 phase=D_mixed_covt +[Dataset] cur_step=7904 phase=D_mixed_covt + + 88%|████████████████████████████ | 7904/9000 [6:50:38<48:11, 2.64s/it][Dataset] cur_step=7904 phase=D_mixed_covt + {'loss': '3.068', 'grad_norm': '3.076', 'learning_rate': '2e-06', 'epoch': '0.2843'} + 88%|████████████████████████████ | 7904/9000 [6:50:38<48:11, 2.64s/it] {'lm_loss': '0.9734', 'visual_loss': '2.448', 'seg_loss': '0.5998', 'dino_loss': '0.9323', 'depth_loss': '0.2002', 'vggt_mse_loss': '0.1988', 'vggt_cos_loss': '0.01402', 'pidinet_loss': '0.2165', 'siglip_loss': '0.4993', 'epoch': '0.2843'} + 88%|████████████████████████████ | 7904/9000 [6:50:40<48:11, 2.64s/it][Dataset] cur_step=7905 phase=D_mixed_covt +[Dataset] cur_step=7905 phase=D_mixed_covt +[Dataset] cur_step=7905 phase=D_mixed_covt +[Dataset] cur_step=7905 phase=D_mixed_covt +[Dataset] cur_step=7905 phase=D_mixed_covt 88%|████████████████████████████ | 7905/9000 [6:50:41<52:41, 2.89s/it] +[Dataset] cur_step=7905 phase=D_mixed_covt +[Dataset] cur_step=7905 phase=D_mixed_covt +[Dataset] cur_step=7905 phase=D_mixed_covt + {'loss': '3.189', 'grad_norm': '5.717', 'learning_rate': '1.996e-06', 'epoch': '0.2844'} + 88%|████████████████████████████ | 7905/9000 [6:50:41<52:41, 2.89s/it] {'lm_loss': '0.3417', 'visual_loss': '2.952', 'seg_loss': '0.7444', 'dino_loss': '0.9366', 'depth_loss': '0.2702', 'vggt_mse_loss': '0.2682', 'vggt_cos_loss': '0.02041', 'pidinet_loss': '0.239', 'siglip_loss': '0.7613', 'epoch': '0.2844'} + 88%|████████████████████████████ | 7905/9000 [6:50:43<52:41, 2.89s/it][Dataset] cur_step=7906 phase=D_mixed_covt +[Dataset] cur_step=7906 phase=D_mixed_covt +[Dataset] cur_step=7906 phase=D_mixed_covt + 88%|████████████████████████████ | 7906/9000 [6:50:44<52:43, 2.89s/it][Dataset] cur_step=7906 phase=D_mixed_covt[Dataset] cur_step=7906 phase=D_mixed_covt + +[Dataset] cur_step=7906 phase=D_mixed_covt +[Dataset] cur_step=7906 phase=D_mixed_covt +[Dataset] cur_step=7906 phase=D_mixed_covt + {'loss': '3.275', 'grad_norm': '3.456', 'learning_rate': '1.993e-06', 'epoch': '0.2844'} + 88%|████████████████████████████ | 7906/9000 [6:50:44<52:43, 2.89s/it] {'lm_loss': '0.7288', 'visual_loss': '2.53', 'seg_loss': '0.6545', 'dino_loss': '0.9299', 'depth_loss': '0.3298', 'vggt_mse_loss': '0.3268', 'vggt_cos_loss': '0.03035', 'pidinet_loss': '0.2392', 'siglip_loss': '0.3768', 'epoch': '0.2844'} + 88%|████████████████████████████ | 7906/9000 [6:50:46<52:43, 2.89s/it][Dataset] cur_step=7907 phase=D_mixed_covt +[Dataset] cur_step=7907 phase=D_mixed_covt[Dataset] cur_step=7907 phase=D_mixed_covt + + 88%|████████████████████████████ | 7907/9000 [6:50:47<55:08, 3.03s/it][Dataset] cur_step=7907 phase=D_mixed_covt +[Dataset] cur_step=7907 phase=D_mixed_covt +[Dataset] cur_step=7907 phase=D_mixed_covt +[Dataset] cur_step=7907 phase=D_mixed_covt +[Dataset] cur_step=7907 phase=D_mixed_covt + {'loss': '3.237', 'grad_norm': '2.622', 'learning_rate': '1.989e-06', 'epoch': '0.2845'} + 88%|████████████████████████████ | 7907/9000 [6:50:47<55:08, 3.03s/it] {'lm_loss': '0.9521', 'visual_loss': '3.244', 'seg_loss': '0.786', 'dino_loss': '0.9318', 'depth_loss': '0.2769', 'vggt_mse_loss': '0.2753', 'vggt_cos_loss': '0.01631', 'pidinet_loss': '0.2418', 'siglip_loss': '1.008', 'epoch': '0.2845'} + 88%|████████████████████████████ | 7907/9000 [6:50:49<55:08, 3.03s/it][Dataset] cur_step=7908 phase=D_mixed_covt +[Dataset] cur_step=7908 phase=D_mixed_covt +[Dataset] cur_step=7908 phase=D_mixed_covt +[Dataset] cur_step=7908 phase=D_mixed_covt[Dataset] cur_step=7908 phase=D_mixed_covt + + 88%|████████████████████████████ | 7908/9000 [6:50:51<57:41, 3.17s/it][Dataset] cur_step=7908 phase=D_mixed_covt +[Dataset] cur_step=7908 phase=D_mixed_covt +[Dataset] cur_step=7908 phase=D_mixed_covt + {'loss': '3.41', 'grad_norm': '4.601', 'learning_rate': '1.986e-06', 'epoch': '0.2845'} + 88%|████████████████████████████ | 7908/9000 [6:50:51<57:41, 3.17s/it] {'lm_loss': '0.6453', 'visual_loss': '3.01', 'seg_loss': '0.8629', 'dino_loss': '0.906', 'depth_loss': '0.1791', 'vggt_mse_loss': '0.1777', 'vggt_cos_loss': '0.01373', 'pidinet_loss': '0.3133', 'siglip_loss': '0.7491', 'epoch': '0.2845'} + 88%|████████████████████████████ | 7908/9000 [6:50:53<57:41, 3.17s/it][Dataset] cur_step=7909 phase=D_mixed_covt +[Dataset] cur_step=7909 phase=D_mixed_covt +[Dataset] cur_step=7909 phase=D_mixed_covt +[Dataset] cur_step=7909 phase=D_mixed_covt +[Dataset] cur_step=7909 phase=D_mixed_covt +[Dataset] cur_step=7909 phase=D_mixed_covt +[Dataset] cur_step=7909 phase=D_mixed_covt +[Dataset] cur_step=7909 phase=D_mixed_covt + 88%|████████████████████████████ | 7909/9000 [6:50:54<55:16, 3.04s/it] {'loss': '3.167', 'grad_norm': '6.174', 'learning_rate': '1.982e-06', 'epoch': '0.2845'} + 88%|████████████████████████████ | 7909/9000 [6:50:54<55:16, 3.04s/it] {'lm_loss': '0.05316', 'visual_loss': '2.372', 'seg_loss': '0.68', 'dino_loss': '0.9004', 'depth_loss': '0.1589', 'vggt_mse_loss': '0.1577', 'vggt_cos_loss': '0.0117', 'pidinet_loss': '0.223', 'siglip_loss': '0.4094', 'epoch': '0.2845'} + 88%|████████████████████████████ | 7909/9000 [6:50:56<55:16, 3.04s/it][Dataset] cur_step=7910 phase=D_mixed_covt[Dataset] cur_step=7910 phase=D_mixed_covt + + 88%|████████████████████████████ | 7910/9000 [6:50:56<52:16, 2.88s/it][Dataset] cur_step=7910 phase=D_mixed_covt +[Dataset] cur_step=7910 phase=D_mixed_covt +[Dataset] cur_step=7910 phase=D_mixed_covt +[Dataset] cur_step=7910 phase=D_mixed_covt +[Dataset] cur_step=7910 phase=D_mixed_covt +[Dataset] cur_step=7910 phase=D_mixed_covt + {'loss': '3.226', 'grad_norm': '1.824', 'learning_rate': '1.978e-06', 'epoch': '0.2846'} + 88%|████████████████████████████ | 7910/9000 [6:50:56<52:16, 2.88s/it] {'lm_loss': '0.8275', 'visual_loss': '2.723', 'seg_loss': '0.8073', 'dino_loss': '0.9425', 'depth_loss': '0.2996', 'vggt_mse_loss': '0.2971', 'vggt_cos_loss': '0.02449', 'pidinet_loss': '0.1711', 'siglip_loss': '0.5022', 'epoch': '0.2846'} + 88%|████████████████████████████ | 7910/9000 [6:50:57<52:16, 2.88s/it][Dataset] cur_step=7911 phase=D_mixed_covt +[Dataset] cur_step=7911 phase=D_mixed_covt +[Dataset] cur_step=7911 phase=D_mixed_covt[Dataset] cur_step=7911 phase=D_mixed_covt + +[Dataset] cur_step=7911 phase=D_mixed_covt[Dataset] cur_step=7911 phase=D_mixed_covt + + 88%|████████████████████████████▏ | 7911/9000 [6:50:58<46:29, 2.56s/it][Dataset] cur_step=7911 phase=D_mixed_covt +[Dataset] cur_step=7911 phase=D_mixed_covt + {'loss': '3.261', 'grad_norm': '9.027', 'learning_rate': '1.975e-06', 'epoch': '0.2846'} + 88%|████████████████████████████▏ | 7911/9000 [6:50:58<46:29, 2.56s/it] {'lm_loss': '0.6579', 'visual_loss': '2.594', 'seg_loss': '0.7981', 'dino_loss': '0.9286', 'depth_loss': '0.1681', 'vggt_mse_loss': '0.1671', 'vggt_cos_loss': '0.009942', 'pidinet_loss': '0.2368', 'siglip_loss': '0.4626', 'epoch': '0.2846'} + 88%|████████████████████████████▏ | 7911/9000 [6:51:00<46:29, 2.56s/it][Dataset] cur_step=7912 phase=D_mixed_covt[Dataset] cur_step=7912 phase=D_mixed_covt + +[Dataset] cur_step=7912 phase=D_mixed_covt +[Dataset] cur_step=7912 phase=D_mixed_covt +[Dataset] cur_step=7912 phase=D_mixed_covt + 88%|████████████████████████████▏ | 7912/9000 [6:51:00<45:49, 2.53s/it][Dataset] cur_step=7912 phase=D_mixed_covt +[Dataset] cur_step=7912 phase=D_mixed_covt +[Dataset] cur_step=7912 phase=D_mixed_covt + {'loss': '3.461', 'grad_norm': '4.298', 'learning_rate': '1.971e-06', 'epoch': '0.2846'} + 88%|████████████████████████████▏ | 7912/9000 [6:51:00<45:49, 2.53s/it] {'lm_loss': '0.6506', 'visual_loss': '2.492', 'seg_loss': '0.5125', 'dino_loss': '0.8901', 'depth_loss': '0.15', 'vggt_mse_loss': '0.1489', 'vggt_cos_loss': '0.01112', 'pidinet_loss': '0.3268', 'siglip_loss': '0.613', 'epoch': '0.2846'} + 88%|████████████████████████████▏ | 7912/9000 [6:51:02<45:49, 2.53s/it][Dataset] cur_step=7913 phase=D_mixed_covt +[Dataset] cur_step=7913 phase=D_mixed_covt[Dataset] cur_step=7913 phase=D_mixed_covt +[Dataset] cur_step=7913 phase=D_mixed_covt + +[Dataset] cur_step=7913 phase=D_mixed_covt 88%|████████████████████████████▏ | 7913/9000 [6:51:02<43:31, 2.40s/it] +[Dataset] cur_step=7913 phase=D_mixed_covt +[Dataset] cur_step=7913 phase=D_mixed_covt +[Dataset] cur_step=7913 phase=D_mixed_covt + {'loss': '3.009', 'grad_norm': '2.787', 'learning_rate': '1.968e-06', 'epoch': '0.2847'} + 88%|████████████████████████████▏ | 7913/9000 [6:51:02<43:31, 2.40s/it] {'lm_loss': '0.7316', 'visual_loss': '2.09', 'seg_loss': '0.7528', 'dino_loss': '0.9012', 'depth_loss': '0.1665', 'vggt_mse_loss': '0.1653', 'vggt_cos_loss': '0.01143', 'pidinet_loss': '0.2698', 'siglip_loss': '0', 'epoch': '0.2847'} + 88%|████████████████████████████▏ | 7913/9000 [6:51:05<43:31, 2.40s/it][Dataset] cur_step=7914 phase=D_mixed_covt +[Dataset] cur_step=7914 phase=D_mixed_covt +[Dataset] cur_step=7914 phase=D_mixed_covt +[Dataset] cur_step=7914 phase=D_mixed_covt +[Dataset] cur_step=7914 phase=D_mixed_covt[Dataset] cur_step=7914 phase=D_mixed_covt + + 88%|████████████████████████████▏ | 7914/9000 [6:51:06<51:06, 2.82s/it][Dataset] cur_step=7914 phase=D_mixed_covt +[Dataset] cur_step=7914 phase=D_mixed_covt + {'loss': '2.78', 'grad_norm': '2.889', 'learning_rate': '1.964e-06', 'epoch': '0.2847'} + 88%|████████████████████████████▏ | 7914/9000 [6:51:06<51:06, 2.82s/it] {'lm_loss': '0.7317', 'visual_loss': '2.134', 'seg_loss': '0.624', 'dino_loss': '0.8731', 'depth_loss': '0.1863', 'vggt_mse_loss': '0.1849', 'vggt_cos_loss': '0.01365', 'pidinet_loss': '0.06494', 'siglip_loss': '0.3855', 'epoch': '0.2847'} + 88%|████████████████████████████▏ | 7914/9000 [6:51:08<51:06, 2.82s/it][Dataset] cur_step=7915 phase=D_mixed_covt +[Dataset] cur_step=7915 phase=D_mixed_covt[Dataset] cur_step=7915 phase=D_mixed_covt + + 88%|████████████████████████████▏ | 7915/9000 [6:51:09<50:57, 2.82s/it][Dataset] cur_step=7915 phase=D_mixed_covt[Dataset] cur_step=7915 phase=D_mixed_covt[Dataset] cur_step=7915 phase=D_mixed_covt + + +[Dataset] cur_step=7915 phase=D_mixed_covt +[Dataset] cur_step=7915 phase=D_mixed_covt + {'loss': '3.057', 'grad_norm': '9.624', 'learning_rate': '1.961e-06', 'epoch': '0.2847'} + 88%|████████████████████████████▏ | 7915/9000 [6:51:09<50:57, 2.82s/it] {'lm_loss': '0.4961', 'visual_loss': '1.406', 'seg_loss': '0.6685', 'dino_loss': '0', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2556', 'siglip_loss': '0.4818', 'epoch': '0.2847'} + 88%|████████████████████████████▏ | 7915/9000 [6:51:10<50:57, 2.82s/it][Dataset] cur_step=7916 phase=D_mixed_covt +[Dataset] cur_step=7916 phase=D_mixed_covt[Dataset] cur_step=7916 phase=D_mixed_covt + +[Dataset] cur_step=7916 phase=D_mixed_covt +[Dataset] cur_step=7916 phase=D_mixed_covt +[Dataset] cur_step=7916 phase=D_mixed_covt +[Dataset] cur_step=7916 phase=D_mixed_covt + 88%|████████████████████████████▏ | 7916/9000 [6:51:11<48:48, 2.70s/it][Dataset] cur_step=7916 phase=D_mixed_covt + {'loss': '2.235', 'grad_norm': '3.161', 'learning_rate': '1.957e-06', 'epoch': '0.2848'} + 88%|████████████████████████████▏ | 7916/9000 [6:51:11<48:48, 2.70s/it] {'lm_loss': '0.5463', 'visual_loss': '2.594', 'seg_loss': '0.6092', 'dino_loss': '0.9338', 'depth_loss': '0.2667', 'vggt_mse_loss': '0.2649', 'vggt_cos_loss': '0.01763', 'pidinet_loss': '0.2412', 'siglip_loss': '0.543', 'epoch': '0.2848'} + 88%|████████████████████████████▏ | 7916/9000 [6:51:13<48:48, 2.70s/it][Dataset] cur_step=7917 phase=D_mixed_covt +[Dataset] cur_step=7917 phase=D_mixed_covt +[Dataset] cur_step=7917 phase=D_mixed_covt + 88%|████████████████████████████▏ | 7917/9000 [6:51:14<47:15, 2.62s/it][Dataset] cur_step=7917 phase=D_mixed_covt +[Dataset] cur_step=7917 phase=D_mixed_covt +[Dataset] cur_step=7917 phase=D_mixed_covt +[Dataset] cur_step=7917 phase=D_mixed_covt +[Dataset] cur_step=7917 phase=D_mixed_covt + {'loss': '3.16', 'grad_norm': '3.52', 'learning_rate': '1.953e-06', 'epoch': '0.2848'} + 88%|████████████████████████████▏ | 7917/9000 [6:51:14<47:15, 2.62s/it] {'lm_loss': '0.6398', 'visual_loss': '2.563', 'seg_loss': '0.8019', 'dino_loss': '0.9055', 'depth_loss': '0.1888', 'vggt_mse_loss': '0.1874', 'vggt_cos_loss': '0.01456', 'pidinet_loss': '0.2065', 'siglip_loss': '0.4606', 'epoch': '0.2848'} + 88%|████████████████████████████▏ | 7917/9000 [6:51:16<47:15, 2.62s/it][Dataset] cur_step=7918 phase=D_mixed_covt[Dataset] cur_step=7918 phase=D_mixed_covt + +[Dataset] cur_step=7918 phase=D_mixed_covt +[Dataset] cur_step=7918 phase=D_mixed_covt[Dataset] cur_step=7918 phase=D_mixed_covt + + 88%|████████████████████████████▏ | 7918/9000 [6:51:17<47:31, 2.64s/it][Dataset] cur_step=7918 phase=D_mixed_covt +[Dataset] cur_step=7918 phase=D_mixed_covt +[Dataset] cur_step=7918 phase=D_mixed_covt + {'loss': '3.181', 'grad_norm': '2.091', 'learning_rate': '1.95e-06', 'epoch': '0.2849'} + 88%|████████████████████████████▏ | 7918/9000 [6:51:17<47:31, 2.64s/it] {'lm_loss': '1.291', 'visual_loss': '1.034', 'seg_loss': '0', 'dino_loss': '0', 'depth_loss': '0.2107', 'vggt_mse_loss': '0.2093', 'vggt_cos_loss': '0.01466', 'pidinet_loss': '0.2142', 'siglip_loss': '0.6088', 'epoch': '0.2849'} + 88%|████████████████████████████▏ | 7918/9000 [6:51:17<47:31, 2.64s/it][Dataset] cur_step=7919 phase=D_mixed_covt[Dataset] cur_step=7919 phase=D_mixed_covt + +[Dataset] cur_step=7919 phase=D_mixed_covt +[Dataset] cur_step=7919 phase=D_mixed_covt[Dataset] cur_step=7919 phase=D_mixed_covt + +[Dataset] cur_step=7919 phase=D_mixed_covt + 88%|████████████████████████████▏ | 7919/9000 [6:51:18<40:24, 2.24s/it][Dataset] cur_step=7919 phase=D_mixed_covt +[Dataset] cur_step=7919 phase=D_mixed_covt + {'loss': '1.984', 'grad_norm': '2.963', 'learning_rate': '1.946e-06', 'epoch': '0.2849'} + 88%|████████████████████████████▏ | 7919/9000 [6:51:18<40:24, 2.24s/it] {'lm_loss': '0.3102', 'visual_loss': '2.18', 'seg_loss': '0.6124', 'dino_loss': '0.9189', 'depth_loss': '0.1934', 'vggt_mse_loss': '0.1923', 'vggt_cos_loss': '0.01058', 'pidinet_loss': '0.151', 'siglip_loss': '0.3041', 'epoch': '0.2849'} + 88%|████████████████████████████▏ | 7919/9000 [6:51:20<40:24, 2.24s/it][Dataset] cur_step=7920 phase=D_mixed_covt +[Dataset] cur_step=7920 phase=D_mixed_covt + 88%|████████████████████████████▏ | 7920/9000 [6:51:20<42:19, 2.35s/it][Dataset] cur_step=7920 phase=D_mixed_covt +[Dataset] cur_step=7920 phase=D_mixed_covt +[Dataset] cur_step=7920 phase=D_mixed_covt +[Dataset] cur_step=7920 phase=D_mixed_covt +[Dataset] cur_step=7920 phase=D_mixed_covt +[Dataset] cur_step=7920 phase=D_mixed_covt + {'loss': '3.339', 'grad_norm': '2.189', 'learning_rate': '1.943e-06', 'epoch': '0.2849'} + 88%|████████████████████████████▏ | 7920/9000 [6:51:20<42:19, 2.35s/it] {'lm_loss': '0.7301', 'visual_loss': '2.552', 'seg_loss': '0.7578', 'dino_loss': '0.9179', 'depth_loss': '0.1969', 'vggt_mse_loss': '0.1956', 'vggt_cos_loss': '0.01317', 'pidinet_loss': '0.2395', 'siglip_loss': '0.4403', 'epoch': '0.2849'} + 88%|████████████████████████████▏ | 7920/9000 [6:51:23<42:19, 2.35s/it][Dataset] cur_step=7921 phase=D_mixed_covt +[Dataset] cur_step=7921 phase=D_mixed_covt +[Dataset] cur_step=7921 phase=D_mixed_covt[Dataset] cur_step=7921 phase=D_mixed_covt + +[Dataset] cur_step=7921 phase=D_mixed_covt + 88%|████████████████████████████▏ | 7921/9000 [6:51:23<44:41, 2.49s/it][Dataset] cur_step=7921 phase=D_mixed_covt +[Dataset] cur_step=7921 phase=D_mixed_covt +[Dataset] cur_step=7921 phase=D_mixed_covt + {'loss': '3.18', 'grad_norm': '2.199', 'learning_rate': '1.939e-06', 'epoch': '0.285'} + 88%|████████████████████████████▏ | 7921/9000 [6:51:23<44:41, 2.49s/it] {'lm_loss': '0.7551', 'visual_loss': '1.922', 'seg_loss': '0.7708', 'dino_loss': '0', 'depth_loss': '0.3065', 'vggt_mse_loss': '0.3038', 'vggt_cos_loss': '0.02672', 'pidinet_loss': '0.2753', 'siglip_loss': '0.5696', 'epoch': '0.285'} + 88%|████████████████████████████▏ | 7921/9000 [6:51:25<44:41, 2.49s/it][Dataset] cur_step=7922 phase=D_mixed_covt +[Dataset] cur_step=7922 phase=D_mixed_covt[Dataset] cur_step=7922 phase=D_mixed_covt[Dataset] cur_step=7922 phase=D_mixed_covt + + +[Dataset] cur_step=7922 phase=D_mixed_covt + 88%|████████████████████████████▏ | 7922/9000 [6:51:26<44:47, 2.49s/it][Dataset] cur_step=7922 phase=D_mixed_covt +[Dataset] cur_step=7922 phase=D_mixed_covt +[Dataset] cur_step=7922 phase=D_mixed_covt + {'loss': '2.295', 'grad_norm': '5.663', 'learning_rate': '1.936e-06', 'epoch': '0.285'} + 88%|████████████████████████████▏ | 7922/9000 [6:51:26<44:47, 2.49s/it] {'lm_loss': '0.5381', 'visual_loss': '2.667', 'seg_loss': '0.6846', 'dino_loss': '0.8768', 'depth_loss': '0.296', 'vggt_mse_loss': '0.2939', 'vggt_cos_loss': '0.0214', 'pidinet_loss': '0.2081', 'siglip_loss': '0.6013', 'epoch': '0.285'} + 88%|████████████████████████████▏ | 7922/9000 [6:51:28<44:47, 2.49s/it][Dataset] cur_step=7923 phase=D_mixed_covt[Dataset] cur_step=7923 phase=D_mixed_covt + +[Dataset] cur_step=7923 phase=D_mixed_covt +[Dataset] cur_step=7923 phase=D_mixed_covt + 88%|████████████████████████████▏ | 7923/9000 [6:51:29<45:58, 2.56s/it][Dataset] cur_step=7923 phase=D_mixed_covt +[Dataset] cur_step=7923 phase=D_mixed_covt +[Dataset] cur_step=7923 phase=D_mixed_covt +[Dataset] cur_step=7923 phase=D_mixed_covt + {'loss': '3.161', 'grad_norm': '2.295', 'learning_rate': '1.932e-06', 'epoch': '0.285'} + 88%|████████████████████████████▏ | 7923/9000 [6:51:29<45:58, 2.56s/it] {'lm_loss': '0.1119', 'visual_loss': '1.962', 'seg_loss': '0.8384', 'dino_loss': '0.9353', 'depth_loss': '0.1881', 'vggt_mse_loss': '0.1868', 'vggt_cos_loss': '0.01303', 'pidinet_loss': '0', 'siglip_loss': '0', 'epoch': '0.285'} + 88%|████████████████████████████▏ | 7923/9000 [6:51:30<45:58, 2.56s/it][Dataset] cur_step=7924 phase=D_mixed_covt +[Dataset] cur_step=7924 phase=D_mixed_covt[Dataset] cur_step=7924 phase=D_mixed_covt + + 88%|████████████████████████████▏ | 7924/9000 [6:51:30<42:15, 2.36s/it][Dataset] cur_step=7924 phase=D_mixed_covt +[Dataset] cur_step=7924 phase=D_mixed_covt +[Dataset] cur_step=7924 phase=D_mixed_covt +[Dataset] cur_step=7924 phase=D_mixed_covt +[Dataset] cur_step=7924 phase=D_mixed_covt + {'loss': '2.653', 'grad_norm': '4.971', 'learning_rate': '1.929e-06', 'epoch': '0.2851'} + 88%|████████████████████████████▏ | 7924/9000 [6:51:30<42:15, 2.36s/it] {'lm_loss': '0.6588', 'visual_loss': '1.727', 'seg_loss': '0.7471', 'dino_loss': '0', 'depth_loss': '0.1983', 'vggt_mse_loss': '0.1968', 'vggt_cos_loss': '0.01447', 'pidinet_loss': '0.2475', 'siglip_loss': '0.5343', 'epoch': '0.2851'} + 88%|████████████████████████████▏ | 7924/9000 [6:51:32<42:15, 2.36s/it][Dataset] cur_step=7925 phase=D_mixed_covt +[Dataset] cur_step=7925 phase=D_mixed_covt +[Dataset] cur_step=7925 phase=D_mixed_covt[Dataset] cur_step=7925 phase=D_mixed_covt + +[Dataset] cur_step=7925 phase=D_mixed_covt[Dataset] cur_step=7925 phase=D_mixed_covt 88%|████████████████████████████▏ | 7925/9000 [6:51:33<42:28, 2.37s/it] + +[Dataset] cur_step=7925 phase=D_mixed_covt +[Dataset] cur_step=7925 phase=D_mixed_covt + {'loss': '2.505', 'grad_norm': '5.632', 'learning_rate': '1.925e-06', 'epoch': '0.2851'} + 88%|████████████████████████████▏ | 7925/9000 [6:51:33<42:28, 2.37s/it] {'lm_loss': '0.6731', 'visual_loss': '2.068', 'seg_loss': '0', 'dino_loss': '0.9172', 'depth_loss': '0.1386', 'vggt_mse_loss': '0.1375', 'vggt_cos_loss': '0.01141', 'pidinet_loss': '0.3253', 'siglip_loss': '0.6868', 'epoch': '0.2851'} + 88%|████████████████████████████▏ | 7925/9000 [6:51:34<42:28, 2.37s/it][Dataset] cur_step=7926 phase=D_mixed_covt + 88%|████████████████████████████▏ | 7926/9000 [6:51:34<35:45, 2.00s/it][Dataset] cur_step=7926 phase=D_mixed_covt[Dataset] cur_step=7926 phase=D_mixed_covt[Dataset] cur_step=7926 phase=D_mixed_covt + + +[Dataset] cur_step=7926 phase=D_mixed_covt +[Dataset] cur_step=7926 phase=D_mixed_covt +[Dataset] cur_step=7926 phase=D_mixed_covt +[Dataset] cur_step=7926 phase=D_mixed_covt + {'loss': '2.709', 'grad_norm': '4.448', 'learning_rate': '1.922e-06', 'epoch': '0.2851'} + 88%|████████████████████████████▏ | 7926/9000 [6:51:34<35:45, 2.00s/it] {'lm_loss': '0.4991', 'visual_loss': '2.649', 'seg_loss': '0.7051', 'dino_loss': '0.899', 'depth_loss': '0.2094', 'vggt_mse_loss': '0.2079', 'vggt_cos_loss': '0.01483', 'pidinet_loss': '0.2594', 'siglip_loss': '0.5758', 'epoch': '0.2851'} + 88%|████████████████████████████▏ | 7926/9000 [6:51:36<35:45, 2.00s/it][Dataset] cur_step=7927 phase=D_mixed_covt[Dataset] cur_step=7927 phase=D_mixed_covt + + 88%|████████████████████████████▏ | 7927/9000 [6:51:37<38:52, 2.17s/it][Dataset] cur_step=7927 phase=D_mixed_covt +[Dataset] cur_step=7927 phase=D_mixed_covt +[Dataset] cur_step=7927 phase=D_mixed_covt +[Dataset] cur_step=7927 phase=D_mixed_covt +[Dataset] cur_step=7927 phase=D_mixed_covt +[Dataset] cur_step=7927 phase=D_mixed_covt + {'loss': '3.154', 'grad_norm': '2.531', 'learning_rate': '1.918e-06', 'epoch': '0.2852'} + 88%|████████████████████████████▏ | 7927/9000 [6:51:37<38:52, 2.17s/it] {'lm_loss': '0.5814', 'visual_loss': '2.312', 'seg_loss': '0.7007', 'dino_loss': '0.8435', 'depth_loss': '0.2001', 'vggt_mse_loss': '0.1988', 'vggt_cos_loss': '0.01285', 'pidinet_loss': '0.3259', 'siglip_loss': '0.242', 'epoch': '0.2852'} + 88%|████████████████████████████▏ | 7927/9000 [6:51:39<38:52, 2.17s/it][Dataset] cur_step=7928 phase=D_mixed_covt +[Dataset] cur_step=7928 phase=D_mixed_covt +[Dataset] cur_step=7928 phase=D_mixed_covt[Dataset] cur_step=7928 phase=D_mixed_covt 88%|████████████████████████████▏ | 7928/9000 [6:51:39<41:16, 2.31s/it] + +[Dataset] cur_step=7928 phase=D_mixed_covt +[Dataset] cur_step=7928 phase=D_mixed_covt +[Dataset] cur_step=7928 phase=D_mixed_covt +[Dataset] cur_step=7928 phase=D_mixed_covt + {'loss': '3.109', 'grad_norm': '4.434', 'learning_rate': '1.914e-06', 'epoch': '0.2852'} + 88%|████████████████████████████▏ | 7928/9000 [6:51:39<41:16, 2.31s/it] {'lm_loss': '1.365', 'visual_loss': '2.595', 'seg_loss': '0.8309', 'dino_loss': '0.9106', 'depth_loss': '0.2172', 'vggt_mse_loss': '0.2158', 'vggt_cos_loss': '0.01414', 'pidinet_loss': '0.2191', 'siglip_loss': '0.417', 'epoch': '0.2852'} + 88%|████████████████████████████▏ | 7928/9000 [6:51:41<41:16, 2.31s/it][Dataset] cur_step=7929 phase=D_mixed_covt + 88%|████████████████████████████▏ | 7929/9000 [6:51:42<43:16, 2.42s/it][Dataset] cur_step=7929 phase=D_mixed_covt +[Dataset] cur_step=7929 phase=D_mixed_covt +[Dataset] cur_step=7929 phase=D_mixed_covt +[Dataset] cur_step=7929 phase=D_mixed_covt +[Dataset] cur_step=7929 phase=D_mixed_covt +[Dataset] cur_step=7929 phase=D_mixed_covt +[Dataset] cur_step=7929 phase=D_mixed_covt + {'loss': '3.263', 'grad_norm': '3.311', 'learning_rate': '1.911e-06', 'epoch': '0.2852'} + 88%|████████████████████████████▏ | 7929/9000 [6:51:42<43:16, 2.42s/it] {'lm_loss': '0.509', 'visual_loss': '3.125', 'seg_loss': '0.8184', 'dino_loss': '0.9228', 'depth_loss': '0.2861', 'vggt_mse_loss': '0.2841', 'vggt_cos_loss': '0.0202', 'pidinet_loss': '0.2984', 'siglip_loss': '0.7991', 'epoch': '0.2852'} + 88%|████████████████████████████▏ | 7929/9000 [6:51:43<43:16, 2.42s/it][Dataset] cur_step=7930 phase=D_mixed_covt[Dataset] cur_step=7930 phase=D_mixed_covt + +[Dataset] cur_step=7930 phase=D_mixed_covt[Dataset] cur_step=7930 phase=D_mixed_covt + +[Dataset] cur_step=7930 phase=D_mixed_covt +[Dataset] cur_step=7930 phase=D_mixed_covt + 88%|████████████████████████████▏ | 7930/9000 [6:51:44<41:11, 2.31s/it][Dataset] cur_step=7930 phase=D_mixed_covt +[Dataset] cur_step=7930 phase=D_mixed_covt + {'loss': '3.438', 'grad_norm': '4.803', 'learning_rate': '1.907e-06', 'epoch': '0.2853'} + 88%|████████████████████████████▏ | 7930/9000 [6:51:44<41:11, 2.31s/it] {'lm_loss': '0.3512', 'visual_loss': '2.822', 'seg_loss': '0.923', 'dino_loss': '0.9253', 'depth_loss': '0.195', 'vggt_mse_loss': '0.1938', 'vggt_cos_loss': '0.01259', 'pidinet_loss': '0.1846', 'siglip_loss': '0.5941', 'epoch': '0.2853'} + 88%|████████████████████████████▏ | 7930/9000 [6:51:45<41:11, 2.31s/it][Dataset] cur_step=7931 phase=D_mixed_covt +[Dataset] cur_step=7931 phase=D_mixed_covt +[Dataset] cur_step=7931 phase=D_mixed_covt +[Dataset] cur_step=7931 phase=D_mixed_covt + 88%|████████████████████████████▏ | 7931/9000 [6:51:45<37:25, 2.10s/it][Dataset] cur_step=7931 phase=D_mixed_covt +[Dataset] cur_step=7931 phase=D_mixed_covt +[Dataset] cur_step=7931 phase=D_mixed_covt +[Dataset] cur_step=7931 phase=D_mixed_covt + {'loss': '3.291', 'grad_norm': '3.918', 'learning_rate': '1.904e-06', 'epoch': '0.2853'} + 88%|████████████████████████████▏ | 7931/9000 [6:51:45<37:25, 2.10s/it] {'lm_loss': '0.5015', 'visual_loss': '2.52', 'seg_loss': '0.6307', 'dino_loss': '0.9172', 'depth_loss': '0.2197', 'vggt_mse_loss': '0.2182', 'vggt_cos_loss': '0.01446', 'pidinet_loss': '0.232', 'siglip_loss': '0.5203', 'epoch': '0.2853'} + 88%|████████████████████████████▏ | 7931/9000 [6:51:47<37:25, 2.10s/it][Dataset] cur_step=7932 phase=D_mixed_covt +[Dataset] cur_step=7932 phase=D_mixed_covt[Dataset] cur_step=7932 phase=D_mixed_covt + +[Dataset] cur_step=7932 phase=D_mixed_covt +[Dataset] cur_step=7932 phase=D_mixed_covt 88%|████████████████████████████▏ | 7932/9000 [6:51:47<35:24, 1.99s/it] +[Dataset] cur_step=7932 phase=D_mixed_covt +[Dataset] cur_step=7932 phase=D_mixed_covt +[Dataset] cur_step=7932 phase=D_mixed_covt + {'loss': '3.389', 'grad_norm': '4.517', 'learning_rate': '1.9e-06', 'epoch': '0.2854'} + 88%|████████████████████████████▏ | 7932/9000 [6:51:47<35:24, 1.99s/it] {'lm_loss': '0.08063', 'visual_loss': '2.712', 'seg_loss': '0.718', 'dino_loss': '0.9335', 'depth_loss': '0.2969', 'vggt_mse_loss': '0.2945', 'vggt_cos_loss': '0.02467', 'pidinet_loss': '0.1907', 'siglip_loss': '0.573', 'epoch': '0.2854'} + 88%|████████████████████████████▏ | 7932/9000 [6:51:48<35:24, 1.99s/it][Dataset] cur_step=7933 phase=D_mixed_covt +[Dataset] cur_step=7933 phase=D_mixed_covt[Dataset] cur_step=7933 phase=D_mixed_covt + + 88%|████████████████████████████▏ | 7933/9000 [6:51:49<34:50, 1.96s/it][Dataset] cur_step=7933 phase=D_mixed_covt +[Dataset] cur_step=7933 phase=D_mixed_covt +[Dataset] cur_step=7933 phase=D_mixed_covt +[Dataset] cur_step=7933 phase=D_mixed_covt +[Dataset] cur_step=7933 phase=D_mixed_covt + {'loss': '3.239', 'grad_norm': '3.283', 'learning_rate': '1.897e-06', 'epoch': '0.2854'} + 88%|████████████████████████████▏ | 7933/9000 [6:51:49<34:50, 1.96s/it] {'lm_loss': '0.08772', 'visual_loss': '1.838', 'seg_loss': '0.5705', 'dino_loss': '0.8534', 'depth_loss': '0.1784', 'vggt_mse_loss': '0.1776', 'vggt_cos_loss': '0.008087', 'pidinet_loss': '0', 'siglip_loss': '0.2361', 'epoch': '0.2854'} + 88%|████████████████████████████▏ | 7933/9000 [6:51:51<34:50, 1.96s/it][Dataset] cur_step=7934 phase=D_mixed_covt +[Dataset] cur_step=7934 phase=D_mixed_covt +[Dataset] cur_step=7934 phase=D_mixed_covt +[Dataset] cur_step=7934 phase=D_mixed_covt + 88%|████████████████████████████▏ | 7934/9000 [6:51:52<37:40, 2.12s/it][Dataset] cur_step=7934 phase=D_mixed_covt +[Dataset] cur_step=7934 phase=D_mixed_covt +[Dataset] cur_step=7934 phase=D_mixed_covt +[Dataset] cur_step=7934 phase=D_mixed_covt + {'loss': '2.967', 'grad_norm': '4.922', 'learning_rate': '1.893e-06', 'epoch': '0.2854'} + 88%|████████████████████████████▏ | 7934/9000 [6:51:52<37:40, 2.12s/it] {'lm_loss': '1.015', 'visual_loss': '2.047', 'seg_loss': '0.6369', 'dino_loss': '0.9398', 'depth_loss': '0.2592', 'vggt_mse_loss': '0.2576', 'vggt_cos_loss': '0.01604', 'pidinet_loss': '0.2107', 'siglip_loss': '0', 'epoch': '0.2854'} + 88%|████████████████████████████▏ | 7934/9000 [6:51:54<37:40, 2.12s/it][Dataset] cur_step=7935 phase=D_mixed_covt +[Dataset] cur_step=7935 phase=D_mixed_covt +[Dataset] cur_step=7935 phase=D_mixed_covt +[Dataset] cur_step=7935 phase=D_mixed_covt +[Dataset] cur_step=7935 phase=D_mixed_covt + 88%|████████████████████████████▏ | 7935/9000 [6:51:54<39:37, 2.23s/it][Dataset] cur_step=7935 phase=D_mixed_covt +[Dataset] cur_step=7935 phase=D_mixed_covt +[Dataset] cur_step=7935 phase=D_mixed_covt + {'loss': '2.855', 'grad_norm': '2.562', 'learning_rate': '1.89e-06', 'epoch': '0.2855'} + 88%|████████████████████████████▏ | 7935/9000 [6:51:54<39:37, 2.23s/it] {'lm_loss': '0.0751', 'visual_loss': '2.605', 'seg_loss': '0.7461', 'dino_loss': '0.88', 'depth_loss': '0.2059', 'vggt_mse_loss': '0.2044', 'vggt_cos_loss': '0.01468', 'pidinet_loss': '0.2888', 'siglip_loss': '0.4842', 'epoch': '0.2855'} + 88%|████████████████████████████▏ | 7935/9000 [6:51:57<39:37, 2.23s/it][Dataset] cur_step=7936 phase=D_mixed_covt +[Dataset] cur_step=7936 phase=D_mixed_covt +[Dataset] cur_step=7936 phase=D_mixed_covt +[Dataset] cur_step=7936 phase=D_mixed_covt + 88%|████████████████████████████▏ | 7936/9000 [6:51:57<45:32, 2.57s/it][Dataset] cur_step=7936 phase=D_mixed_covt +[Dataset] cur_step=7936 phase=D_mixed_covt +[Dataset] cur_step=7936 phase=D_mixed_covt +[Dataset] cur_step=7936 phase=D_mixed_covt + {'loss': '3.104', 'grad_norm': '4.213', 'learning_rate': '1.886e-06', 'epoch': '0.2855'} + 88%|████████████████████████████▏ | 7936/9000 [6:51:57<45:32, 2.57s/it] {'lm_loss': '0.8274', 'visual_loss': '2.824', 'seg_loss': '0.7752', 'dino_loss': '0.8512', 'depth_loss': '0.2111', 'vggt_mse_loss': '0.2091', 'vggt_cos_loss': '0.01993', 'pidinet_loss': '0.2493', 'siglip_loss': '0.7372', 'epoch': '0.2855'} + 88%|████████████████████████████▏ | 7936/9000 [6:52:00<45:32, 2.57s/it][Dataset] cur_step=7937 phase=D_mixed_covt +[Dataset] cur_step=7937 phase=D_mixed_covt + 88%|████████████████████████████▏ | 7937/9000 [6:52:01<49:45, 2.81s/it][Dataset] cur_step=7937 phase=D_mixed_covt +[Dataset] cur_step=7937 phase=D_mixed_covt +[Dataset] cur_step=7937 phase=D_mixed_covt +[Dataset] cur_step=7937 phase=D_mixed_covt +[Dataset] cur_step=7937 phase=D_mixed_covt +[Dataset] cur_step=7937 phase=D_mixed_covt + {'loss': '3.304', 'grad_norm': '3.09', 'learning_rate': '1.883e-06', 'epoch': '0.2855'} + 88%|████████████████████████████▏ | 7937/9000 [6:52:01<49:45, 2.81s/it] {'lm_loss': '0.5779', 'visual_loss': '2.199', 'seg_loss': '0.6105', 'dino_loss': '0.91', 'depth_loss': '0.1649', 'vggt_mse_loss': '0.1644', 'vggt_cos_loss': '0.005507', 'pidinet_loss': '0.1769', 'siglip_loss': '0.3369', 'epoch': '0.2855'} + 88%|████████████████████████████▏ | 7937/9000 [6:52:04<49:45, 2.81s/it][Dataset] cur_step=7938 phase=D_mixed_covt +[Dataset] cur_step=7938 phase=D_mixed_covt +[Dataset] cur_step=7938 phase=D_mixed_covt[Dataset] cur_step=7938 phase=D_mixed_covt + + 88%|████████████████████████████▏ | 7938/9000 [6:52:04<53:04, 3.00s/it][Dataset] cur_step=7938 phase=D_mixed_covt +[Dataset] cur_step=7938 phase=D_mixed_covt +[Dataset] cur_step=7938 phase=D_mixed_covt +[Dataset] cur_step=7938 phase=D_mixed_covt + {'loss': '3.112', 'grad_norm': '4.107', 'learning_rate': '1.879e-06', 'epoch': '0.2856'} + 88%|████████████████████████████▏ | 7938/9000 [6:52:04<53:04, 3.00s/it] {'lm_loss': '0.4104', 'visual_loss': '2.759', 'seg_loss': '0.6338', 'dino_loss': '0.9236', 'depth_loss': '0.2019', 'vggt_mse_loss': '0.2009', 'vggt_cos_loss': '0.01001', 'pidinet_loss': '0.2979', 'siglip_loss': '0.7016', 'epoch': '0.2856'} + 88%|████████████████████████████▏ | 7938/9000 [6:52:07<53:04, 3.00s/it][Dataset] cur_step=7939 phase=D_mixed_covt +[Dataset] cur_step=7939 phase=D_mixed_covt[Dataset] cur_step=7939 phase=D_mixed_covt + + 88%|████████████████████████████▏ | 7939/9000 [6:52:07<52:17, 2.96s/it][Dataset] cur_step=7939 phase=D_mixed_covt +[Dataset] cur_step=7939 phase=D_mixed_covt[Dataset] cur_step=7939 phase=D_mixed_covt + +[Dataset] cur_step=7939 phase=D_mixed_covt +[Dataset] cur_step=7939 phase=D_mixed_covt + {'loss': '3.29', 'grad_norm': '2.75', 'learning_rate': '1.876e-06', 'epoch': '0.2856'} + 88%|████████████████████████████▏ | 7939/9000 [6:52:07<52:17, 2.96s/it] {'lm_loss': '0.6003', 'visual_loss': '2.605', 'seg_loss': '0.7193', 'dino_loss': '0.8896', 'depth_loss': '0.1901', 'vggt_mse_loss': '0.1886', 'vggt_cos_loss': '0.01485', 'pidinet_loss': '0.2899', 'siglip_loss': '0.5158', 'epoch': '0.2856'} + 88%|████████████████████████████▏ | 7939/9000 [6:52:09<52:17, 2.96s/it][Dataset] cur_step=7940 phase=D_mixed_covt +[Dataset] cur_step=7940 phase=D_mixed_covt +[Dataset] cur_step=7940 phase=D_mixed_covt[Dataset] cur_step=7940 phase=D_mixed_covt + +[Dataset] cur_step=7940 phase=D_mixed_covt + 88%|████████████████████████████▏ | 7940/9000 [6:52:10<51:16, 2.90s/it][Dataset] cur_step=7940 phase=D_mixed_covt +[Dataset] cur_step=7940 phase=D_mixed_covt +[Dataset] cur_step=7940 phase=D_mixed_covt + {'loss': '3.298', 'grad_norm': '3.112', 'learning_rate': '1.872e-06', 'epoch': '0.2856'} + 88%|████████████████████████████▏ | 7940/9000 [6:52:10<51:16, 2.90s/it] {'lm_loss': '0.5074', 'visual_loss': '2.917', 'seg_loss': '0.8027', 'dino_loss': '0.9187', 'depth_loss': '0.2587', 'vggt_mse_loss': '0.2569', 'vggt_cos_loss': '0.01797', 'pidinet_loss': '0.2119', 'siglip_loss': '0.7248', 'epoch': '0.2856'} + 88%|████████████████████████████▏ | 7940/9000 [6:52:12<51:16, 2.90s/it][Dataset] cur_step=7941 phase=D_mixed_covt +[Dataset] cur_step=7941 phase=D_mixed_covt +[Dataset] cur_step=7941 phase=D_mixed_covt +[Dataset] cur_step=7941 phase=D_mixed_covt +[Dataset] cur_step=7941 phase=D_mixed_covt[Dataset] cur_step=7941 phase=D_mixed_covt + +[Dataset] cur_step=7941 phase=D_mixed_covt +[Dataset] cur_step=7941 phase=D_mixed_covt + 88%|████████████████████████████▏ | 7941/9000 [6:52:13<51:16, 2.91s/it] {'loss': '3.326', 'grad_norm': '2.835', 'learning_rate': '1.869e-06', 'epoch': '0.2857'} + 88%|████████████████████████████▏ | 7941/9000 [6:52:13<51:16, 2.91s/it] {'lm_loss': '0.09803', 'visual_loss': '2.441', 'seg_loss': '0.5154', 'dino_loss': '0.9162', 'depth_loss': '0.1937', 'vggt_mse_loss': '0.1923', 'vggt_cos_loss': '0.01431', 'pidinet_loss': '0.2215', 'siglip_loss': '0.5939', 'epoch': '0.2857'} + 88%|████████████████████████████▏ | 7941/9000 [6:52:15<51:16, 2.91s/it][Dataset] cur_step=7942 phase=D_mixed_covt +[Dataset] cur_step=7942 phase=D_mixed_covt + 88%|████████████████████████████▏ | 7942/9000 [6:52:16<51:10, 2.90s/it][Dataset] cur_step=7942 phase=D_mixed_covt +[Dataset] cur_step=7942 phase=D_mixed_covt[Dataset] cur_step=7942 phase=D_mixed_covt + +[Dataset] cur_step=7942 phase=D_mixed_covt[Dataset] cur_step=7942 phase=D_mixed_covt + +[Dataset] cur_step=7942 phase=D_mixed_covt + {'loss': '3.175', 'grad_norm': '2.597', 'learning_rate': '1.865e-06', 'epoch': '0.2857'} + 88%|████████████████████████████▏ | 7942/9000 [6:52:16<51:10, 2.90s/it] {'lm_loss': '0.6947', 'visual_loss': '1.795', 'seg_loss': '0.6022', 'dino_loss': '0', 'depth_loss': '0.2397', 'vggt_mse_loss': '0.2383', 'vggt_cos_loss': '0.01461', 'pidinet_loss': '0.2872', 'siglip_loss': '0.6657', 'epoch': '0.2857'} + 88%|████████████████████████████▏ | 7942/9000 [6:52:17<51:10, 2.90s/it][Dataset] cur_step=7943 phase=D_mixed_covt +[Dataset] cur_step=7943 phase=D_mixed_covt + 88%|████████████████████████████▏ | 7943/9000 [6:52:18<45:26, 2.58s/it][Dataset] cur_step=7943 phase=D_mixed_covt +[Dataset] cur_step=7943 phase=D_mixed_covt +[Dataset] cur_step=7943 phase=D_mixed_covt +[Dataset] cur_step=7943 phase=D_mixed_covt +[Dataset] cur_step=7943 phase=D_mixed_covt +[Dataset] cur_step=7943 phase=D_mixed_covt + {'loss': '2.303', 'grad_norm': '5.521', 'learning_rate': '1.862e-06', 'epoch': '0.2858'} + 88%|████████████████████████████▏ | 7943/9000 [6:52:18<45:26, 2.58s/it] {'lm_loss': '0.9361', 'visual_loss': '1.976', 'seg_loss': '0.5021', 'dino_loss': '0.8696', 'depth_loss': '0.1674', 'vggt_mse_loss': '0.1664', 'vggt_cos_loss': '0.00918', 'pidinet_loss': '0.2645', 'siglip_loss': '0.1728', 'epoch': '0.2858'} + 88%|████████████████████████████▏ | 7943/9000 [6:52:20<45:26, 2.58s/it][Dataset] cur_step=7944 phase=D_mixed_covt +[Dataset] cur_step=7944 phase=D_mixed_covt +[Dataset] cur_step=7944 phase=D_mixed_covt + 88%|████████████████████████████▏ | 7944/9000 [6:52:20<45:31, 2.59s/it][Dataset] cur_step=7944 phase=D_mixed_covt +[Dataset] cur_step=7944 phase=D_mixed_covt +[Dataset] cur_step=7944 phase=D_mixed_covt +[Dataset] cur_step=7944 phase=D_mixed_covt +[Dataset] cur_step=7944 phase=D_mixed_covt + {'loss': '3.296', 'grad_norm': '2.509', 'learning_rate': '1.858e-06', 'epoch': '0.2858'} + 88%|████████████████████████████▏ | 7944/9000 [6:52:20<45:31, 2.59s/it] {'lm_loss': '0.7087', 'visual_loss': '2.977', 'seg_loss': '0.7411', 'dino_loss': '0.9259', 'depth_loss': '0.4446', 'vggt_mse_loss': '0.4403', 'vggt_cos_loss': '0.04297', 'pidinet_loss': '0.2041', 'siglip_loss': '0.6609', 'epoch': '0.2858'} + 88%|████████████████████████████▏ | 7944/9000 [6:52:22<45:31, 2.59s/it][Dataset] cur_step=7945 phase=D_mixed_covt +[Dataset] cur_step=7945 phase=D_mixed_covt[Dataset] cur_step=7945 phase=D_mixed_covt + + 88%|████████████████████████████▏ | 7945/9000 [6:52:25<59:03, 3.36s/it][Dataset] cur_step=7945 phase=D_mixed_covt +[Dataset] cur_step=7945 phase=D_mixed_covt +[Dataset] cur_step=7945 phase=D_mixed_covt +[Dataset] cur_step=7945 phase=D_mixed_covt +[Dataset] cur_step=7945 phase=D_mixed_covt + {'loss': '3.133', 'grad_norm': '8.811', 'learning_rate': '1.855e-06', 'epoch': '0.2858'} + 88%|████████████████████████████▏ | 7945/9000 [6:52:25<59:03, 3.36s/it] {'lm_loss': '0.09184', 'visual_loss': '1.903', 'seg_loss': '0.7733', 'dino_loss': '0', 'depth_loss': '0.3742', 'vggt_mse_loss': '0.3711', 'vggt_cos_loss': '0.03111', 'pidinet_loss': '0.225', 'siglip_loss': '0.5309', 'epoch': '0.2858'} + 88%|████████████████████████████▏ | 7945/9000 [6:52:28<59:03, 3.36s/it][Dataset] cur_step=7946 phase=D_mixed_covt +[Dataset] cur_step=7946 phase=D_mixed_covt +[Dataset] cur_step=7946 phase=D_mixed_covt[Dataset] cur_step=7946 phase=D_mixed_covt + +[Dataset] cur_step=7946 phase=D_mixed_covt +[Dataset] cur_step=7946 phase=D_mixed_covt + 88%|████████████████████████████▎ | 7946/9000 [6:52:28<58:09, 3.31s/it][Dataset] cur_step=7946 phase=D_mixed_covt +[Dataset] cur_step=7946 phase=D_mixed_covt + {'loss': '2.159', 'grad_norm': '3.511', 'learning_rate': '1.852e-06', 'epoch': '0.2859'} + 88%|████████████████████████████▎ | 7946/9000 [6:52:28<58:09, 3.31s/it] {'lm_loss': '1.203', 'visual_loss': '1.91', 'seg_loss': '0.5656', 'dino_loss': '0.8646', 'depth_loss': '0.203', 'vggt_mse_loss': '0.2016', 'vggt_cos_loss': '0.01446', 'pidinet_loss': '0.2764', 'siglip_loss': '0', 'epoch': '0.2859'} + 88%|████████████████████████████▎ | 7946/9000 [6:52:31<58:09, 3.31s/it][Dataset] cur_step=7947 phase=D_mixed_covt +[Dataset] cur_step=7947 phase=D_mixed_covt 88%|████████████████████████████▎ | 7947/9000 [6:52:32<56:37, 3.23s/it][Dataset] cur_step=7947 phase=D_mixed_covt + +[Dataset] cur_step=7947 phase=D_mixed_covt +[Dataset] cur_step=7947 phase=D_mixed_covt +[Dataset] cur_step=7947 phase=D_mixed_covt[Dataset] cur_step=7947 phase=D_mixed_covt + +[Dataset] cur_step=7947 phase=D_mixed_covt + {'loss': '2.584', 'grad_norm': '3.044', 'learning_rate': '1.848e-06', 'epoch': '0.2859'} + 88%|████████████████████████████▎ | 7947/9000 [6:52:32<56:37, 3.23s/it] {'lm_loss': '0.3266', 'visual_loss': '2.592', 'seg_loss': '0.6884', 'dino_loss': '0.8977', 'depth_loss': '0.2627', 'vggt_mse_loss': '0.2607', 'vggt_cos_loss': '0.02006', 'pidinet_loss': '0.2131', 'siglip_loss': '0.5304', 'epoch': '0.2859'} + 88%|████████████████████████████▎ | 7947/9000 [6:52:34<56:37, 3.23s/it][Dataset] cur_step=7948 phase=D_mixed_covt +[Dataset] cur_step=7948 phase=D_mixed_covt +[Dataset] cur_step=7948 phase=D_mixed_covt[Dataset] cur_step=7948 phase=D_mixed_covt + +[Dataset] cur_step=7948 phase=D_mixed_covt +[Dataset] cur_step=7948 phase=D_mixed_covt +[Dataset] cur_step=7948 phase=D_mixed_covt + 88%|████████████████████████████▎ | 7948/9000 [6:52:35<57:07, 3.26s/it][Dataset] cur_step=7948 phase=D_mixed_covt + {'loss': '3.227', 'grad_norm': '1.911', 'learning_rate': '1.845e-06', 'epoch': '0.2859'} + 88%|████████████████████████████▎ | 7948/9000 [6:52:35<57:07, 3.26s/it] {'lm_loss': '1.149', 'visual_loss': '2.324', 'seg_loss': '0.5697', 'dino_loss': '0.8703', 'depth_loss': '0.2442', 'vggt_mse_loss': '0.2424', 'vggt_cos_loss': '0.01836', 'pidinet_loss': '0.1827', 'siglip_loss': '0.4574', 'epoch': '0.2859'} + 88%|████████████████████████████▎ | 7948/9000 [6:52:37<57:07, 3.26s/it][Dataset] cur_step=7949 phase=D_mixed_covt +[Dataset] cur_step=7949 phase=D_mixed_covt +[Dataset] cur_step=7949 phase=D_mixed_covt +[Dataset] cur_step=7949 phase=D_mixed_covt + 88%|████████████████████████████▎ | 7949/9000 [6:52:37<53:38, 3.06s/it][Dataset] cur_step=7949 phase=D_mixed_covt +[Dataset] cur_step=7949 phase=D_mixed_covt +[Dataset] cur_step=7949 phase=D_mixed_covt +[Dataset] cur_step=7949 phase=D_mixed_covt + {'loss': '3.243', 'grad_norm': '6.771', 'learning_rate': '1.841e-06', 'epoch': '0.286'} + 88%|████████████████████████████▎ | 7949/9000 [6:52:37<53:38, 3.06s/it] {'lm_loss': '0.08395', 'visual_loss': '2.273', 'seg_loss': '0.6995', 'dino_loss': '0.8869', 'depth_loss': '0.2003', 'vggt_mse_loss': '0.1986', 'vggt_cos_loss': '0.01659', 'pidinet_loss': '0.1449', 'siglip_loss': '0.3411', 'epoch': '0.286'} + 88%|████████████████████████████▎ | 7949/9000 [6:52:39<53:38, 3.06s/it][Dataset] cur_step=7950 phase=D_mixed_covt +[Dataset] cur_step=7950 phase=D_mixed_covt +[Dataset] cur_step=7950 phase=D_mixed_covt[Dataset] cur_step=7950 phase=D_mixed_covt + + 88%|██████████████████████████▌ | 7950/9000 [6:52:43<1:05:43, 3.76s/it][Dataset] cur_step=7950 phase=D_mixed_covt +[Dataset] cur_step=7950 phase=D_mixed_covt +[Dataset] cur_step=7950 phase=D_mixed_covt +[Dataset] cur_step=7950 phase=D_mixed_covt + {'loss': '3.098', 'grad_norm': '3.183', 'learning_rate': '1.838e-06', 'epoch': '0.286'} + 88%|██████████████████████████▌ | 7950/9000 [6:52:43<1:05:43, 3.76s/it] {'lm_loss': '0.3949', 'visual_loss': '2.133', 'seg_loss': '0', 'dino_loss': '0.9525', 'depth_loss': '0.3378', 'vggt_mse_loss': '0.3344', 'vggt_cos_loss': '0.03428', 'pidinet_loss': '0.2329', 'siglip_loss': '0.6099', 'epoch': '0.286'} + 88%|██████████████████████████▌ | 7950/9000 [6:52:44<1:05:43, 3.76s/it][Dataset] cur_step=7951 phase=D_mixed_covt[Dataset] cur_step=7951 phase=D_mixed_covt + +[Dataset] cur_step=7951 phase=D_mixed_covt[Dataset] cur_step=7951 phase=D_mixed_covt + + 88%|████████████████████████████▎ | 7951/9000 [6:52:44<52:09, 2.98s/it][Dataset] cur_step=7951 phase=D_mixed_covt +[Dataset] cur_step=7951 phase=D_mixed_covt +[Dataset] cur_step=7951 phase=D_mixed_covt +[Dataset] cur_step=7951 phase=D_mixed_covt + {'loss': '2.5', 'grad_norm': '2.67', 'learning_rate': '1.834e-06', 'epoch': '0.286'} + 88%|████████████████████████████▎ | 7951/9000 [6:52:44<52:09, 2.98s/it] {'lm_loss': '0.9947', 'visual_loss': '2.932', 'seg_loss': '0.7269', 'dino_loss': '0.8969', 'depth_loss': '0.3198', 'vggt_mse_loss': '0.3171', 'vggt_cos_loss': '0.02637', 'pidinet_loss': '0.2886', 'siglip_loss': '0.7001', 'epoch': '0.286'} + 88%|████████████████████████████▎ | 7951/9000 [6:52:46<52:09, 2.98s/it][Dataset] cur_step=7952 phase=D_mixed_covt +[Dataset] cur_step=7952 phase=D_mixed_covt +[Dataset] cur_step=7952 phase=D_mixed_covt[Dataset] cur_step=7952 phase=D_mixed_covt[Dataset] cur_step=7952 phase=D_mixed_covt + + +[Dataset] cur_step=7952 phase=D_mixed_covt + 88%|████████████████████████████▎ | 7952/9000 [6:52:46<47:47, 2.74s/it][Dataset] cur_step=7952 phase=D_mixed_covt +[Dataset] cur_step=7952 phase=D_mixed_covt + {'loss': '3.295', 'grad_norm': '3.198', 'learning_rate': '1.831e-06', 'epoch': '0.2861'} + 88%|████████████████████████████▎ | 7952/9000 [6:52:46<47:47, 2.74s/it] {'lm_loss': '0.1048', 'visual_loss': '2.622', 'seg_loss': '0.6734', 'dino_loss': '0.9375', 'depth_loss': '0.221', 'vggt_mse_loss': '0.2194', 'vggt_cos_loss': '0.0167', 'pidinet_loss': '0.2711', 'siglip_loss': '0.5195', 'epoch': '0.2861'} + 88%|████████████████████████████▎ | 7952/9000 [6:52:48<47:47, 2.74s/it][Dataset] cur_step=7953 phase=D_mixed_covt +[Dataset] cur_step=7953 phase=D_mixed_covt[Dataset] cur_step=7953 phase=D_mixed_covt + + 88%|████████████████████████████▎ | 7953/9000 [6:52:48<44:35, 2.55s/it][Dataset] cur_step=7953 phase=D_mixed_covt +[Dataset] cur_step=7953 phase=D_mixed_covt +[Dataset] cur_step=7953 phase=D_mixed_covt +[Dataset] cur_step=7953 phase=D_mixed_covt +[Dataset] cur_step=7953 phase=D_mixed_covt + {'loss': '3.227', 'grad_norm': '3.529', 'learning_rate': '1.827e-06', 'epoch': '0.2861'} + 88%|████████████████████████████▎ | 7953/9000 [6:52:48<44:35, 2.55s/it] {'lm_loss': '0.7029', 'visual_loss': '2.643', 'seg_loss': '0.7873', 'dino_loss': '0.8998', 'depth_loss': '0.205', 'vggt_mse_loss': '0.2035', 'vggt_cos_loss': '0.01527', 'pidinet_loss': '0.1992', 'siglip_loss': '0.5514', 'epoch': '0.2861'} + 88%|████████████████████████████▎ | 7953/9000 [6:52:50<44:35, 2.55s/it][Dataset] cur_step=7954 phase=D_mixed_covt +[Dataset] cur_step=7954 phase=D_mixed_covt 88%|████████████████████████████▎ | 7954/9000 [6:52:51<44:31, 2.55s/it] +[Dataset] cur_step=7954 phase=D_mixed_covt +[Dataset] cur_step=7954 phase=D_mixed_covt +[Dataset] cur_step=7954 phase=D_mixed_covt +[Dataset] cur_step=7954 phase=D_mixed_covt +[Dataset] cur_step=7954 phase=D_mixed_covt +[Dataset] cur_step=7954 phase=D_mixed_covt + {'loss': '3.244', 'grad_norm': '3.218', 'learning_rate': '1.824e-06', 'epoch': '0.2861'} + 88%|████████████████████████████▎ | 7954/9000 [6:52:51<44:31, 2.55s/it] {'lm_loss': '1.139', 'visual_loss': '1.106', 'seg_loss': '0.8254', 'dino_loss': '0', 'depth_loss': '0.2806', 'vggt_mse_loss': '0.2784', 'vggt_cos_loss': '0.02182', 'pidinet_loss': '0', 'siglip_loss': '0', 'epoch': '0.2861'} + 88%|████████████████████████████▎ | 7954/9000 [6:52:52<44:31, 2.55s/it][Dataset] cur_step=7955 phase=D_mixed_covt +[Dataset] cur_step=7955 phase=D_mixed_covt[Dataset] cur_step=7955 phase=D_mixed_covt +[Dataset] cur_step=7955 phase=D_mixed_covt + + 88%|████████████████████████████▎ | 7955/9000 [6:52:53<40:11, 2.31s/it][Dataset] cur_step=7955 phase=D_mixed_covt[Dataset] cur_step=7955 phase=D_mixed_covt + +[Dataset] cur_step=7955 phase=D_mixed_covt +[Dataset] cur_step=7955 phase=D_mixed_covt + {'loss': '1.924', 'grad_norm': '4.535', 'learning_rate': '1.82e-06', 'epoch': '0.2862'} + 88%|████████████████████████████▎ | 7955/9000 [6:52:53<40:11, 2.31s/it] {'lm_loss': '0.7069', 'visual_loss': '1.998', 'seg_loss': '0.6864', 'dino_loss': '0.897', 'depth_loss': '0.1675', 'vggt_mse_loss': '0.1665', 'vggt_cos_loss': '0.01038', 'pidinet_loss': '0.133', 'siglip_loss': '0.1142', 'epoch': '0.2862'} + 88%|████████████████████████████▎ | 7955/9000 [6:52:55<40:11, 2.31s/it][Dataset] cur_step=7956 phase=D_mixed_covt +[Dataset] cur_step=7956 phase=D_mixed_covt[Dataset] cur_step=7956 phase=D_mixed_covt[Dataset] cur_step=7956 phase=D_mixed_covt + + +[Dataset] cur_step=7956 phase=D_mixed_covt + 88%|████████████████████████████▎ | 7956/9000 [6:52:55<42:34, 2.45s/it][Dataset] cur_step=7956 phase=D_mixed_covt[Dataset] cur_step=7956 phase=D_mixed_covt + +[Dataset] cur_step=7956 phase=D_mixed_covt + {'loss': '3.143', 'grad_norm': '3.248', 'learning_rate': '1.817e-06', 'epoch': '0.2862'} + 88%|████████████████████████████▎ | 7956/9000 [6:52:55<42:34, 2.45s/it] {'lm_loss': '1.164', 'visual_loss': '2.152', 'seg_loss': '0.5185', 'dino_loss': '0.8918', 'depth_loss': '0.2833', 'vggt_mse_loss': '0.2814', 'vggt_cos_loss': '0.0191', 'pidinet_loss': '0.1811', 'siglip_loss': '0.2769', 'epoch': '0.2862'} + 88%|████████████████████████████▎ | 7956/9000 [6:52:58<42:34, 2.45s/it][Dataset] cur_step=7957 phase=D_mixed_covt[Dataset] cur_step=7957 phase=D_mixed_covt + + 88%|████████████████████████████▎ | 7957/9000 [6:52:58<44:46, 2.58s/it][Dataset] cur_step=7957 phase=D_mixed_covt +[Dataset] cur_step=7957 phase=D_mixed_covt +[Dataset] cur_step=7957 phase=D_mixed_covt +[Dataset] cur_step=7957 phase=D_mixed_covt +[Dataset] cur_step=7957 phase=D_mixed_covt +[Dataset] cur_step=7957 phase=D_mixed_covt + {'loss': '3.438', 'grad_norm': '3.247', 'learning_rate': '1.814e-06', 'epoch': '0.2863'} + 88%|████████████████████████████▎ | 7957/9000 [6:52:58<44:46, 2.58s/it] {'lm_loss': '0.07232', 'visual_loss': '2.994', 'seg_loss': '0.6759', 'dino_loss': '0.9407', 'depth_loss': '0.3046', 'vggt_mse_loss': '0.303', 'vggt_cos_loss': '0.01586', 'pidinet_loss': '0.2031', 'siglip_loss': '0.8692', 'epoch': '0.2863'} + 88%|████████████████████████████▎ | 7957/9000 [6:53:01<44:46, 2.58s/it][Dataset] cur_step=7958 phase=D_mixed_covt +[Dataset] cur_step=7958 phase=D_mixed_covt + 88%|████████████████████████████▎ | 7958/9000 [6:53:01<47:50, 2.75s/it][Dataset] cur_step=7958 phase=D_mixed_covt[Dataset] cur_step=7958 phase=D_mixed_covt + +[Dataset] cur_step=7958 phase=D_mixed_covt +[Dataset] cur_step=7958 phase=D_mixed_covt +[Dataset] cur_step=7958 phase=D_mixed_covt +[Dataset] cur_step=7958 phase=D_mixed_covt + {'loss': '3.243', 'grad_norm': '2.57', 'learning_rate': '1.81e-06', 'epoch': '0.2863'} + 88%|████████████████████████████▎ | 7958/9000 [6:53:01<47:50, 2.75s/it] {'lm_loss': '0.7888', 'visual_loss': '2.747', 'seg_loss': '0.7463', 'dino_loss': '0.9585', 'depth_loss': '0.2786', 'vggt_mse_loss': '0.2767', 'vggt_cos_loss': '0.01973', 'pidinet_loss': '0.2306', 'siglip_loss': '0.533', 'epoch': '0.2863'} + 88%|████████████████████████████▎ | 7958/9000 [6:53:03<47:50, 2.75s/it][Dataset] cur_step=7959 phase=D_mixed_covt +[Dataset] cur_step=7959 phase=D_mixed_covt +[Dataset] cur_step=7959 phase=D_mixed_covt +[Dataset] cur_step=7959 phase=D_mixed_covt[Dataset] cur_step=7959 phase=D_mixed_covt + 88%|████████████████████████████▎ | 7959/9000 [6:53:04<47:21, 2.73s/it] +[Dataset] cur_step=7959 phase=D_mixed_covt +[Dataset] cur_step=7959 phase=D_mixed_covt +[Dataset] cur_step=7959 phase=D_mixed_covt + {'loss': '3.334', 'grad_norm': '8.865', 'learning_rate': '1.807e-06', 'epoch': '0.2863'} + 88%|████████████████████████████▎ | 7959/9000 [6:53:04<47:21, 2.73s/it] {'lm_loss': '0.05199', 'visual_loss': '2.975', 'seg_loss': '0.7521', 'dino_loss': '0.9151', 'depth_loss': '0.4415', 'vggt_mse_loss': '0.4375', 'vggt_cos_loss': '0.03981', 'pidinet_loss': '0.2284', 'siglip_loss': '0.6374', 'epoch': '0.2863'} + 88%|████████████████████████████▎ | 7959/9000 [6:53:07<47:21, 2.73s/it][Dataset] cur_step=7960 phase=D_mixed_covt +[Dataset] cur_step=7960 phase=D_mixed_covt[Dataset] cur_step=7960 phase=D_mixed_covt + + 88%|████████████████████████████▎ | 7960/9000 [6:53:07<50:48, 2.93s/it][Dataset] cur_step=7960 phase=D_mixed_covt +[Dataset] cur_step=7960 phase=D_mixed_covt +[Dataset] cur_step=7960 phase=D_mixed_covt +[Dataset] cur_step=7960 phase=D_mixed_covt +[Dataset] cur_step=7960 phase=D_mixed_covt + {'loss': '3.025', 'grad_norm': '2.368', 'learning_rate': '1.803e-06', 'epoch': '0.2864'} + 88%|████████████████████████████▎ | 7960/9000 [6:53:07<50:48, 2.93s/it] {'lm_loss': '0.6783', 'visual_loss': '2.933', 'seg_loss': '0.6433', 'dino_loss': '0.9093', 'depth_loss': '0.2103', 'vggt_mse_loss': '0.2089', 'vggt_cos_loss': '0.01459', 'pidinet_loss': '0.1877', 'siglip_loss': '0.9821', 'epoch': '0.2864'} + 88%|████████████████████████████▎ | 7960/9000 [6:53:10<50:48, 2.93s/it][Dataset] cur_step=7961 phase=D_mixed_covt + 88%|████████████████████████████▎ | 7961/9000 [6:53:10<49:36, 2.86s/it][Dataset] cur_step=7961 phase=D_mixed_covt +[Dataset] cur_step=7961 phase=D_mixed_covt +[Dataset] cur_step=7961 phase=D_mixed_covt +[Dataset] cur_step=7961 phase=D_mixed_covt +[Dataset] cur_step=7961 phase=D_mixed_covt +[Dataset] cur_step=7961 phase=D_mixed_covt +[Dataset] cur_step=7961 phase=D_mixed_covt + {'loss': '3.204', 'grad_norm': '3.075', 'learning_rate': '1.8e-06', 'epoch': '0.2864'} + 88%|████████████████████████████▎ | 7961/9000 [6:53:10<49:36, 2.86s/it] {'lm_loss': '0.06713', 'visual_loss': '2.581', 'seg_loss': '0.6638', 'dino_loss': '0.8874', 'depth_loss': '0.2536', 'vggt_mse_loss': '0.2516', 'vggt_cos_loss': '0.01958', 'pidinet_loss': '0.2073', 'siglip_loss': '0.5693', 'epoch': '0.2864'} + 88%|████████████████████████████▎ | 7961/9000 [6:53:13<49:36, 2.86s/it][Dataset] cur_step=7962 phase=D_mixed_covt +[Dataset] cur_step=7962 phase=D_mixed_covt +[Dataset] cur_step=7962 phase=D_mixed_covt[Dataset] cur_step=7962 phase=D_mixed_covt + +[Dataset] cur_step=7962 phase=D_mixed_covt + 88%|████████████████████████████▎ | 7962/9000 [6:53:13<51:04, 2.95s/it][Dataset] cur_step=7962 phase=D_mixed_covt +[Dataset] cur_step=7962 phase=D_mixed_covt +[Dataset] cur_step=7962 phase=D_mixed_covt + {'loss': '3.134', 'grad_norm': '2.87', 'learning_rate': '1.796e-06', 'epoch': '0.2864'} + 88%|████████████████████████████▎ | 7962/9000 [6:53:13<51:04, 2.95s/it] {'lm_loss': '0.5977', 'visual_loss': '2.063', 'seg_loss': '0.6258', 'dino_loss': '0.8401', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0', 'siglip_loss': '0.5973', 'epoch': '0.2864'} + 88%|████████████████████████████▎ | 7962/9000 [6:53:15<51:04, 2.95s/it][Dataset] cur_step=7963 phase=D_mixed_covt +[Dataset] cur_step=7963 phase=D_mixed_covt[Dataset] cur_step=7963 phase=D_mixed_covt + +[Dataset] cur_step=7963 phase=D_mixed_covt +[Dataset] cur_step=7963 phase=D_mixed_covt + 88%|████████████████████████████▎ | 7963/9000 [6:53:16<47:50, 2.77s/it][Dataset] cur_step=7963 phase=D_mixed_covt +[Dataset] cur_step=7963 phase=D_mixed_covt +[Dataset] cur_step=7963 phase=D_mixed_covt + {'loss': '2.754', 'grad_norm': '3.6', 'learning_rate': '1.793e-06', 'epoch': '0.2865'} + 88%|████████████████████████████▎ | 7963/9000 [6:53:16<47:50, 2.77s/it] {'lm_loss': '0.4068', 'visual_loss': '2.261', 'seg_loss': '0.6101', 'dino_loss': '0.9213', 'depth_loss': '0.225', 'vggt_mse_loss': '0.2232', 'vggt_cos_loss': '0.01777', 'pidinet_loss': '0.1517', 'siglip_loss': '0.3532', 'epoch': '0.2865'} + 88%|████████████████████████████▎ | 7963/9000 [6:53:18<47:50, 2.77s/it][Dataset] cur_step=7964 phase=D_mixed_covt +[Dataset] cur_step=7964 phase=D_mixed_covt[Dataset] cur_step=7964 phase=D_mixed_covt + + 88%|████████████████████████████▎ | 7964/9000 [6:53:18<47:11, 2.73s/it][Dataset] cur_step=7964 phase=D_mixed_covt +[Dataset] cur_step=7964 phase=D_mixed_covt +[Dataset] cur_step=7964 phase=D_mixed_covt +[Dataset] cur_step=7964 phase=D_mixed_covt +[Dataset] cur_step=7964 phase=D_mixed_covt + {'loss': '3.049', 'grad_norm': '5.355', 'learning_rate': '1.79e-06', 'epoch': '0.2865'} + 88%|████████████████████████████▎ | 7964/9000 [6:53:18<47:11, 2.73s/it] {'lm_loss': '0.9873', 'visual_loss': '2.799', 'seg_loss': '0.7631', 'dino_loss': '0.9308', 'depth_loss': '0.2516', 'vggt_mse_loss': '0.2501', 'vggt_cos_loss': '0.0152', 'pidinet_loss': '0.2698', 'siglip_loss': '0.5835', 'epoch': '0.2865'} + 88%|████████████████████████████▎ | 7964/9000 [6:53:21<47:11, 2.73s/it][Dataset] cur_step=7965 phase=D_mixed_covt +[Dataset] cur_step=7965 phase=D_mixed_covt +[Dataset] cur_step=7965 phase=D_mixed_covt +[Dataset] cur_step=7965 phase=D_mixed_covt 88%|████████████████████████████▎ | 7965/9000 [6:53:21<47:22, 2.75s/it] +[Dataset] cur_step=7965 phase=D_mixed_covt[Dataset] cur_step=7965 phase=D_mixed_covt + +[Dataset] cur_step=7965 phase=D_mixed_covt +[Dataset] cur_step=7965 phase=D_mixed_covt + {'loss': '3.5', 'grad_norm': '2.496', 'learning_rate': '1.786e-06', 'epoch': '0.2865'} + 88%|████████████████████████████▎ | 7965/9000 [6:53:21<47:22, 2.75s/it] {'lm_loss': '0.7807', 'visual_loss': '2.333', 'seg_loss': '0.6793', 'dino_loss': '0.8901', 'depth_loss': '0.1811', 'vggt_mse_loss': '0.1798', 'vggt_cos_loss': '0.01357', 'pidinet_loss': '0.06379', 'siglip_loss': '0.5184', 'epoch': '0.2865'} + 88%|████████████████████████████▎ | 7965/9000 [6:53:23<47:22, 2.75s/it][Dataset] cur_step=7966 phase=D_mixed_covt +[Dataset] cur_step=7966 phase=D_mixed_covt +[Dataset] cur_step=7966 phase=D_mixed_covt[Dataset] cur_step=7966 phase=D_mixed_covt +[Dataset] cur_step=7966 phase=D_mixed_covt + + 89%|████████████████████████████▎ | 7966/9000 [6:53:26<59:17, 3.44s/it][Dataset] cur_step=7966 phase=D_mixed_covt +[Dataset] cur_step=7966 phase=D_mixed_covt +[Dataset] cur_step=7966 phase=D_mixed_covt + {'loss': '3.256', 'grad_norm': '5.838', 'learning_rate': '1.783e-06', 'epoch': '0.2866'} + 89%|████████████████████████████▎ | 7966/9000 [6:53:26<59:17, 3.44s/it] {'lm_loss': '0.9546', 'visual_loss': '2.267', 'seg_loss': '0.4744', 'dino_loss': '0.9197', 'depth_loss': '0.1967', 'vggt_mse_loss': '0.1952', 'vggt_cos_loss': '0.01489', 'pidinet_loss': '0.1592', 'siglip_loss': '0.5166', 'epoch': '0.2866'} + 89%|████████████████████████████▎ | 7966/9000 [6:53:28<59:17, 3.44s/it][Dataset] cur_step=7967 phase=D_mixed_covt +[Dataset] cur_step=7967 phase=D_mixed_covt[Dataset] cur_step=7967 phase=D_mixed_covt + + 89%|████████████████████████████▎ | 7967/9000 [6:53:28<52:36, 3.06s/it][Dataset] cur_step=7967 phase=D_mixed_covt +[Dataset] cur_step=7967 phase=D_mixed_covt +[Dataset] cur_step=7967 phase=D_mixed_covt +[Dataset] cur_step=7967 phase=D_mixed_covt +[Dataset] cur_step=7967 phase=D_mixed_covt + {'loss': '3.132', 'grad_norm': '3.423', 'learning_rate': '1.779e-06', 'epoch': '0.2866'} + 89%|████████████████████████████▎ | 7967/9000 [6:53:28<52:36, 3.06s/it] {'lm_loss': '0.34', 'visual_loss': '2.842', 'seg_loss': '0.7845', 'dino_loss': '0.9492', 'depth_loss': '0.3739', 'vggt_mse_loss': '0.3714', 'vggt_cos_loss': '0.02543', 'pidinet_loss': '0.2643', 'siglip_loss': '0.4702', 'epoch': '0.2866'} + 89%|████████████████████████████▎ | 7967/9000 [6:53:31<52:36, 3.06s/it][Dataset] cur_step=7968 phase=D_mixed_covt +[Dataset] cur_step=7968 phase=D_mixed_covt +[Dataset] cur_step=7968 phase=D_mixed_covt[Dataset] cur_step=7968 phase=D_mixed_covt + +[Dataset] cur_step=7968 phase=D_mixed_covt[Dataset] cur_step=7968 phase=D_mixed_covt + + 89%|████████████████████████████▎ | 7968/9000 [6:53:31<52:07, 3.03s/it][Dataset] cur_step=7968 phase=D_mixed_covt +[Dataset] cur_step=7968 phase=D_mixed_covt + {'loss': '3.131', 'grad_norm': '2.1', 'learning_rate': '1.776e-06', 'epoch': '0.2866'} + 89%|████████████████████████████▎ | 7968/9000 [6:53:31<52:07, 3.03s/it] {'lm_loss': '1.292', 'visual_loss': '2.991', 'seg_loss': '0.9229', 'dino_loss': '0.9061', 'depth_loss': '0.3949', 'vggt_mse_loss': '0.3924', 'vggt_cos_loss': '0.0248', 'pidinet_loss': '0.2526', 'siglip_loss': '0.5142', 'epoch': '0.2866'} + 89%|████████████████████████████▎ | 7968/9000 [6:53:33<52:07, 3.03s/it][Dataset] cur_step=7969 phase=D_mixed_covt +[Dataset] cur_step=7969 phase=D_mixed_covt +[Dataset] cur_step=7969 phase=D_mixed_covt + 89%|████████████████████████████▎ | 7969/9000 [6:53:34<49:51, 2.90s/it][Dataset] cur_step=7969 phase=D_mixed_covt +[Dataset] cur_step=7969 phase=D_mixed_covt +[Dataset] cur_step=7969 phase=D_mixed_covt[Dataset] cur_step=7969 phase=D_mixed_covt + +[Dataset] cur_step=7969 phase=D_mixed_covt + {'loss': '3.562', 'grad_norm': '3.107', 'learning_rate': '1.773e-06', 'epoch': '0.2867'} + 89%|████████████████████████████▎ | 7969/9000 [6:53:34<49:51, 2.90s/it] {'lm_loss': '0.333', 'visual_loss': '2.142', 'seg_loss': '0.7412', 'dino_loss': '0.9257', 'depth_loss': '0.1743', 'vggt_mse_loss': '0.1732', 'vggt_cos_loss': '0.01095', 'pidinet_loss': '0.3011', 'siglip_loss': '0', 'epoch': '0.2867'} + 89%|████████████████████████████▎ | 7969/9000 [6:53:36<49:51, 2.90s/it][Dataset] cur_step=7970 phase=D_mixed_covt +[Dataset] cur_step=7970 phase=D_mixed_covt[Dataset] cur_step=7970 phase=D_mixed_covt + +[Dataset] cur_step=7970 phase=D_mixed_covt 89%|████████████████████████████▎ | 7970/9000 [6:53:37<51:32, 3.00s/it] +[Dataset] cur_step=7970 phase=D_mixed_covt +[Dataset] cur_step=7970 phase=D_mixed_covt +[Dataset] cur_step=7970 phase=D_mixed_covt +[Dataset] cur_step=7970 phase=D_mixed_covt + {'loss': '2.407', 'grad_norm': '6.527', 'learning_rate': '1.769e-06', 'epoch': '0.2867'} + 89%|████████████████████████████▎ | 7970/9000 [6:53:37<51:32, 3.00s/it] {'lm_loss': '0.4919', 'visual_loss': '2.714', 'seg_loss': '0.7436', 'dino_loss': '0.9252', 'depth_loss': '0.3223', 'vggt_mse_loss': '0.3195', 'vggt_cos_loss': '0.02817', 'pidinet_loss': '0.2445', 'siglip_loss': '0.4782', 'epoch': '0.2867'} + 89%|████████████████████████████▎ | 7970/9000 [6:53:41<51:32, 3.00s/it][Dataset] cur_step=7971 phase=D_mixed_covt + 89%|████████████████████████████▎ | 7971/9000 [6:53:41<57:53, 3.38s/it][Dataset] cur_step=7971 phase=D_mixed_covt +[Dataset] cur_step=7971 phase=D_mixed_covt +[Dataset] cur_step=7971 phase=D_mixed_covt +[Dataset] cur_step=7971 phase=D_mixed_covt +[Dataset] cur_step=7971 phase=D_mixed_covt +[Dataset] cur_step=7971 phase=D_mixed_covt +[Dataset] cur_step=7971 phase=D_mixed_covt + {'loss': '3.137', 'grad_norm': '6.021', 'learning_rate': '1.766e-06', 'epoch': '0.2868'} + 89%|████████████████████████████▎ | 7971/9000 [6:53:41<57:53, 3.38s/it] {'lm_loss': '0.07459', 'visual_loss': '3.003', 'seg_loss': '0.818', 'dino_loss': '0.9224', 'depth_loss': '0.385', 'vggt_mse_loss': '0.382', 'vggt_cos_loss': '0.02991', 'pidinet_loss': '0.2455', 'siglip_loss': '0.6317', 'epoch': '0.2868'} + 89%|████████████████████████████▎ | 7971/9000 [6:53:43<57:53, 3.38s/it][Dataset] cur_step=7972 phase=D_mixed_covt +[Dataset] cur_step=7972 phase=D_mixed_covt 89%|████████████████████████████▎ | 7972/9000 [6:53:44<52:33, 3.07s/it][Dataset] cur_step=7972 phase=D_mixed_covt + +[Dataset] cur_step=7972 phase=D_mixed_covt +[Dataset] cur_step=7972 phase=D_mixed_covt +[Dataset] cur_step=7972 phase=D_mixed_covt +[Dataset] cur_step=7972 phase=D_mixed_covt +[Dataset] cur_step=7972 phase=D_mixed_covt + {'loss': '3.17', 'grad_norm': '2.452', 'learning_rate': '1.762e-06', 'epoch': '0.2868'} + 89%|████████████████████████████▎ | 7972/9000 [6:53:44<52:33, 3.07s/it] {'lm_loss': '1.109', 'visual_loss': '2.92', 'seg_loss': '0.8428', 'dino_loss': '0.9638', 'depth_loss': '0.2643', 'vggt_mse_loss': '0.2623', 'vggt_cos_loss': '0.01992', 'pidinet_loss': '0.2516', 'siglip_loss': '0.5978', 'epoch': '0.2868'} + 89%|████████████████████████████▎ | 7972/9000 [6:53:46<52:33, 3.07s/it][Dataset] cur_step=7973 phase=D_mixed_covt +[Dataset] cur_step=7973 phase=D_mixed_covt[Dataset] cur_step=7973 phase=D_mixed_covt + +[Dataset] cur_step=7973 phase=D_mixed_covt + 89%|████████████████████████████▎ | 7973/9000 [6:53:46<50:04, 2.93s/it][Dataset] cur_step=7973 phase=D_mixed_covt +[Dataset] cur_step=7973 phase=D_mixed_covt +[Dataset] cur_step=7973 phase=D_mixed_covt +[Dataset] cur_step=7973 phase=D_mixed_covt + {'loss': '3.639', 'grad_norm': '2.903', 'learning_rate': '1.759e-06', 'epoch': '0.2868'} + 89%|████████████████████████████▎ | 7973/9000 [6:53:46<50:04, 2.93s/it] {'lm_loss': '0.5122', 'visual_loss': '2.509', 'seg_loss': '0.4636', 'dino_loss': '0.8595', 'depth_loss': '0.1862', 'vggt_mse_loss': '0.1848', 'vggt_cos_loss': '0.01381', 'pidinet_loss': '0.2729', 'siglip_loss': '0.7268', 'epoch': '0.2868'} + 89%|████████████████████████████▎ | 7973/9000 [6:53:48<50:04, 2.93s/it][Dataset] cur_step=7974 phase=D_mixed_covt[Dataset] cur_step=7974 phase=D_mixed_covt +[Dataset] cur_step=7974 phase=D_mixed_covt +[Dataset] cur_step=7974 phase=D_mixed_covt +[Dataset] cur_step=7974 phase=D_mixed_covt[Dataset] cur_step=7974 phase=D_mixed_covt + + + 89%|████████████████████████████▎ | 7974/9000 [6:53:49<47:29, 2.78s/it][Dataset] cur_step=7974 phase=D_mixed_covt +[Dataset] cur_step=7974 phase=D_mixed_covt + {'loss': '3.178', 'grad_norm': '2.625', 'learning_rate': '1.756e-06', 'epoch': '0.2869'} + 89%|████████████████████████████▎ | 7974/9000 [6:53:49<47:29, 2.78s/it] {'lm_loss': '0.4879', 'visual_loss': '2.695', 'seg_loss': '0.4688', 'dino_loss': '0.8817', 'depth_loss': '0.3625', 'vggt_mse_loss': '0.3605', 'vggt_cos_loss': '0.01925', 'pidinet_loss': '0.2453', 'siglip_loss': '0.7363', 'epoch': '0.2869'} + 89%|████████████████████████████▎ | 7974/9000 [6:53:51<47:29, 2.78s/it][Dataset] cur_step=7975 phase=D_mixed_covt[Dataset] cur_step=7975 phase=D_mixed_covt + +[Dataset] cur_step=7975 phase=D_mixed_covt + 89%|████████████████████████████▎ | 7975/9000 [6:53:52<47:28, 2.78s/it][Dataset] cur_step=7975 phase=D_mixed_covt +[Dataset] cur_step=7975 phase=D_mixed_covt +[Dataset] cur_step=7975 phase=D_mixed_covt +[Dataset] cur_step=7975 phase=D_mixed_covt +[Dataset] cur_step=7975 phase=D_mixed_covt + {'loss': '3.288', 'grad_norm': '3.36', 'learning_rate': '1.752e-06', 'epoch': '0.2869'} + 89%|████████████████████████████▎ | 7975/9000 [6:53:52<47:28, 2.78s/it] {'lm_loss': '0.4369', 'visual_loss': '2.497', 'seg_loss': '0.6367', 'dino_loss': '0.9081', 'depth_loss': '0.1863', 'vggt_mse_loss': '0.185', 'vggt_cos_loss': '0.01318', 'pidinet_loss': '0.1698', 'siglip_loss': '0.5962', 'epoch': '0.2869'} + 89%|████████████████████████████▎ | 7975/9000 [6:53:54<47:28, 2.78s/it][Dataset] cur_step=7976 phase=D_mixed_covt +[Dataset] cur_step=7976 phase=D_mixed_covt + 89%|████████████████████████████▎ | 7976/9000 [6:53:55<50:39, 2.97s/it][Dataset] cur_step=7976 phase=D_mixed_covt +[Dataset] cur_step=7976 phase=D_mixed_covt +[Dataset] cur_step=7976 phase=D_mixed_covt[Dataset] cur_step=7976 phase=D_mixed_covt + +[Dataset] cur_step=7976 phase=D_mixed_covt +[Dataset] cur_step=7976 phase=D_mixed_covt + {'loss': '3.201', 'grad_norm': '1.935', 'learning_rate': '1.749e-06', 'epoch': '0.2869'} + 89%|████████████████████████████▎ | 7976/9000 [6:53:55<50:39, 2.97s/it] {'lm_loss': '0.06624', 'visual_loss': '2.615', 'seg_loss': '0.7201', 'dino_loss': '0.8901', 'depth_loss': '0.1865', 'vggt_mse_loss': '0.1851', 'vggt_cos_loss': '0.01433', 'pidinet_loss': '0.3124', 'siglip_loss': '0.5058', 'epoch': '0.2869'} + 89%|████████████████████████████▎ | 7976/9000 [6:53:58<50:39, 2.97s/it][Dataset] cur_step=7977 phase=D_mixed_covt +[Dataset] cur_step=7977 phase=D_mixed_covt[Dataset] cur_step=7977 phase=D_mixed_covt + +[Dataset] cur_step=7977 phase=D_mixed_covt 89%|████████████████████████████▎ | 7977/9000 [6:53:58<53:02, 3.11s/it] +[Dataset] cur_step=7977 phase=D_mixed_covt +[Dataset] cur_step=7977 phase=D_mixed_covt +[Dataset] cur_step=7977 phase=D_mixed_covt +[Dataset] cur_step=7977 phase=D_mixed_covt + {'loss': '3.019', 'grad_norm': '2.497', 'learning_rate': '1.745e-06', 'epoch': '0.287'} + 89%|████████████████████████████▎ | 7977/9000 [6:53:58<53:02, 3.11s/it] {'lm_loss': '0.4879', 'visual_loss': '2.535', 'seg_loss': '0.6387', 'dino_loss': '0.8676', 'depth_loss': '0.1561', 'vggt_mse_loss': '0.1548', 'vggt_cos_loss': '0.01286', 'pidinet_loss': '0.3053', 'siglip_loss': '0.567', 'epoch': '0.287'} + 89%|████████████████████████████▎ | 7977/9000 [6:54:01<53:02, 3.11s/it][Dataset] cur_step=7978 phase=D_mixed_covt +[Dataset] cur_step=7978 phase=D_mixed_covt[Dataset] cur_step=7978 phase=D_mixed_covt +[Dataset] cur_step=7978 phase=D_mixed_covt + 89%|████████████████████████████▎ | 7978/9000 [6:54:01<51:31, 3.03s/it] +[Dataset] cur_step=7978 phase=D_mixed_covt +[Dataset] cur_step=7978 phase=D_mixed_covt +[Dataset] cur_step=7978 phase=D_mixed_covt +[Dataset] cur_step=7978 phase=D_mixed_covt + {'loss': '3.143', 'grad_norm': '2.621', 'learning_rate': '1.742e-06', 'epoch': '0.287'} + 89%|████████████████████████████▎ | 7978/9000 [6:54:01<51:31, 3.03s/it] {'lm_loss': '0.4712', 'visual_loss': '2.604', 'seg_loss': '0.6243', 'dino_loss': '0.8892', 'depth_loss': '0.4327', 'vggt_mse_loss': '0.4301', 'vggt_cos_loss': '0.0267', 'pidinet_loss': '0.2448', 'siglip_loss': '0.4125', 'epoch': '0.287'} + 89%|████████████████████████████▎ | 7978/9000 [6:54:04<51:31, 3.03s/it][Dataset] cur_step=7979 phase=D_mixed_covt +[Dataset] cur_step=7979 phase=D_mixed_covt[Dataset] cur_step=7979 phase=D_mixed_covt +[Dataset] cur_step=7979 phase=D_mixed_covt + +[Dataset] cur_step=7979 phase=D_mixed_covt + 89%|████████████████████████████▎ | 7979/9000 [6:54:05<57:12, 3.36s/it][Dataset] cur_step=7979 phase=D_mixed_covt +[Dataset] cur_step=7979 phase=D_mixed_covt +[Dataset] cur_step=7979 phase=D_mixed_covt + {'loss': '2.873', 'grad_norm': '2.076', 'learning_rate': '1.739e-06', 'epoch': '0.287'} + 89%|████████████████████████████▎ | 7979/9000 [6:54:05<57:12, 3.36s/it] {'lm_loss': '0.422', 'visual_loss': '2.891', 'seg_loss': '0.8172', 'dino_loss': '0.9129', 'depth_loss': '0.2589', 'vggt_mse_loss': '0.2568', 'vggt_cos_loss': '0.02127', 'pidinet_loss': '0.2716', 'siglip_loss': '0.6307', 'epoch': '0.287'} + 89%|████████████████████████████▎ | 7979/9000 [6:54:07<57:12, 3.36s/it][Dataset] cur_step=7980 phase=D_mixed_covt +[Dataset] cur_step=7980 phase=D_mixed_covt +[Dataset] cur_step=7980 phase=D_mixed_covt +[Dataset] cur_step=7980 phase=D_mixed_covt 89%|████████████████████████████▎ | 7980/9000 [6:54:08<55:04, 3.24s/it] +[Dataset] cur_step=7980 phase=D_mixed_covt +[Dataset] cur_step=7980 phase=D_mixed_covt +[Dataset] cur_step=7980 phase=D_mixed_covt +[Dataset] cur_step=7980 phase=D_mixed_covt + {'loss': '3.263', 'grad_norm': '3.005', 'learning_rate': '1.735e-06', 'epoch': '0.2871'} + 89%|████████████████████████████▎ | 7980/9000 [6:54:08<55:04, 3.24s/it] {'lm_loss': '0.5675', 'visual_loss': '3.4', 'seg_loss': '0.7892', 'dino_loss': '0.8856', 'depth_loss': '0.512', 'vggt_mse_loss': '0.5068', 'vggt_cos_loss': '0.05217', 'pidinet_loss': '0.2176', 'siglip_loss': '0.9958', 'epoch': '0.2871'} + 89%|████████████████████████████▎ | 7980/9000 [6:54:10<55:04, 3.24s/it][Dataset] cur_step=7981 phase=D_mixed_covt +[Dataset] cur_step=7981 phase=D_mixed_covt[Dataset] cur_step=7981 phase=D_mixed_covt + +[Dataset] cur_step=7981 phase=D_mixed_covt +[Dataset] cur_step=7981 phase=D_mixed_covt + 89%|████████████████████████████▍ | 7981/9000 [6:54:10<48:53, 2.88s/it][Dataset] cur_step=7981 phase=D_mixed_covt +[Dataset] cur_step=7981 phase=D_mixed_covt +[Dataset] cur_step=7981 phase=D_mixed_covt + {'loss': '3.463', 'grad_norm': '4.37', 'learning_rate': '1.732e-06', 'epoch': '0.2871'} + 89%|████████████████████████████▍ | 7981/9000 [6:54:10<48:53, 2.88s/it] {'lm_loss': '0.562', 'visual_loss': '2.119', 'seg_loss': '0.7466', 'dino_loss': '0.9385', 'depth_loss': '0.2233', 'vggt_mse_loss': '0.2218', 'vggt_cos_loss': '0.01501', 'pidinet_loss': '0.2101', 'siglip_loss': '0', 'epoch': '0.2871'} + 89%|████████████████████████████▍ | 7981/9000 [6:54:13<48:53, 2.88s/it][Dataset] cur_step=7982 phase=D_mixed_covt +[Dataset] cur_step=7982 phase=D_mixed_covt +[Dataset] cur_step=7982 phase=D_mixed_covt +[Dataset] cur_step=7982 phase=D_mixed_covt +[Dataset] cur_step=7982 phase=D_mixed_covt +[Dataset] cur_step=7982 phase=D_mixed_covt + 89%|████████████████████████████▍ | 7982/9000 [6:54:14<50:48, 2.99s/it][Dataset] cur_step=7982 phase=D_mixed_covt +[Dataset] cur_step=7982 phase=D_mixed_covt + {'loss': '2.559', 'grad_norm': '3.031', 'learning_rate': '1.729e-06', 'epoch': '0.2872'} + 89%|████████████████████████████▍ | 7982/9000 [6:54:14<50:48, 2.99s/it] {'lm_loss': '0.623', 'visual_loss': '2.888', 'seg_loss': '0.8543', 'dino_loss': '0.9244', 'depth_loss': '0.3299', 'vggt_mse_loss': '0.3277', 'vggt_cos_loss': '0.02225', 'pidinet_loss': '0.2267', 'siglip_loss': '0.5522', 'epoch': '0.2872'} + 89%|████████████████████████████▍ | 7982/9000 [6:54:16<50:48, 2.99s/it][Dataset] cur_step=7983 phase=D_mixed_covt +[Dataset] cur_step=7983 phase=D_mixed_covt[Dataset] cur_step=7983 phase=D_mixed_covt + + 89%|██████████████████████████▌ | 7983/9000 [6:54:19<1:02:01, 3.66s/it][Dataset] cur_step=7983 phase=D_mixed_covt +[Dataset] cur_step=7983 phase=D_mixed_covt +[Dataset] cur_step=7983 phase=D_mixed_covt +[Dataset] cur_step=7983 phase=D_mixed_covt +[Dataset] cur_step=7983 phase=D_mixed_covt + {'loss': '3.298', 'grad_norm': '2.515', 'learning_rate': '1.725e-06', 'epoch': '0.2872'} + 89%|██████████████████████████▌ | 7983/9000 [6:54:19<1:02:01, 3.66s/it] {'lm_loss': '0.3165', 'visual_loss': '3.017', 'seg_loss': '0.7655', 'dino_loss': '0.9075', 'depth_loss': '0.2083', 'vggt_mse_loss': '0.2068', 'vggt_cos_loss': '0.01486', 'pidinet_loss': '0.2914', 'siglip_loss': '0.8444', 'epoch': '0.2872'} + 89%|██████████████████████████▌ | 7983/9000 [6:54:22<1:02:01, 3.66s/it][Dataset] cur_step=7984 phase=D_mixed_covt +[Dataset] cur_step=7984 phase=D_mixed_covt +[Dataset] cur_step=7984 phase=D_mixed_covt +[Dataset] cur_step=7984 phase=D_mixed_covt[Dataset] cur_step=7984 phase=D_mixed_covt + + 89%|██████████████████████████▌ | 7984/9000 [6:54:22<1:01:01, 3.60s/it][Dataset] cur_step=7984 phase=D_mixed_covt +[Dataset] cur_step=7984 phase=D_mixed_covt +[Dataset] cur_step=7984 phase=D_mixed_covt + {'loss': '3.201', 'grad_norm': '2.591', 'learning_rate': '1.722e-06', 'epoch': '0.2872'} + 89%|██████████████████████████▌ | 7984/9000 [6:54:22<1:01:01, 3.60s/it] {'lm_loss': '0.8937', 'visual_loss': '1.976', 'seg_loss': '0.8137', 'dino_loss': '0.9087', 'depth_loss': '0.2533', 'vggt_mse_loss': '0.2521', 'vggt_cos_loss': '0.01122', 'pidinet_loss': '0', 'siglip_loss': '0', 'epoch': '0.2872'} + 89%|██████████████████████████▌ | 7984/9000 [6:54:24<1:01:01, 3.60s/it][Dataset] cur_step=7985 phase=D_mixed_covt +[Dataset] cur_step=7985 phase=D_mixed_covt +[Dataset] cur_step=7985 phase=D_mixed_covt +[Dataset] cur_step=7985 phase=D_mixed_covt +[Dataset] cur_step=7985 phase=D_mixed_covt +[Dataset] cur_step=7985 phase=D_mixed_covt +[Dataset] cur_step=7985 phase=D_mixed_covt 89%|████████████████████████████▍ | 7985/9000 [6:54:25<57:16, 3.39s/it] +[Dataset] cur_step=7985 phase=D_mixed_covt + {'loss': '2.564', 'grad_norm': '3.611', 'learning_rate': '1.719e-06', 'epoch': '0.2873'} + 89%|████████████████████████████▍ | 7985/9000 [6:54:25<57:16, 3.39s/it] {'lm_loss': '0.5882', 'visual_loss': '2.459', 'seg_loss': '0.5963', 'dino_loss': '0.8917', 'depth_loss': '0.1541', 'vggt_mse_loss': '0.1532', 'vggt_cos_loss': '0.00914', 'pidinet_loss': '0', 'siglip_loss': '0.8173', 'epoch': '0.2873'} + 89%|████████████████████████████▍ | 7985/9000 [6:54:27<57:16, 3.39s/it][Dataset] cur_step=7986 phase=D_mixed_covt +[Dataset] cur_step=7986 phase=D_mixed_covt[Dataset] cur_step=7986 phase=D_mixed_covt + +[Dataset] cur_step=7986 phase=D_mixed_covt +[Dataset] cur_step=7986 phase=D_mixed_covt + 89%|████████████████████████████▍ | 7986/9000 [6:54:27<50:12, 2.97s/it][Dataset] cur_step=7986 phase=D_mixed_covt +[Dataset] cur_step=7986 phase=D_mixed_covt +[Dataset] cur_step=7986 phase=D_mixed_covt + {'loss': '3.046', 'grad_norm': '6.091', 'learning_rate': '1.715e-06', 'epoch': '0.2873'} + 89%|████████████████████████████▍ | 7986/9000 [6:54:27<50:12, 2.97s/it] {'lm_loss': '0.07651', 'visual_loss': '1.805', 'seg_loss': '0.6418', 'dino_loss': '0.886', 'depth_loss': '0.1155', 'vggt_mse_loss': '0.1149', 'vggt_cos_loss': '0.006038', 'pidinet_loss': '0.1622', 'siglip_loss': '0', 'epoch': '0.2873'} + 89%|████████████████████████████▍ | 7986/9000 [6:54:30<50:12, 2.97s/it][Dataset] cur_step=7987 phase=D_mixed_covt +[Dataset] cur_step=7987 phase=D_mixed_covt +[Dataset] cur_step=7987 phase=D_mixed_covt +[Dataset] cur_step=7987 phase=D_mixed_covt +[Dataset] cur_step=7987 phase=D_mixed_covt 89%|██████████████████████████▌ | 7987/9000 [6:54:32<1:01:26, 3.64s/it] +[Dataset] cur_step=7987 phase=D_mixed_covt +[Dataset] cur_step=7987 phase=D_mixed_covt +[Dataset] cur_step=7987 phase=D_mixed_covt + {'loss': '2.595', 'grad_norm': '2.481', 'learning_rate': '1.712e-06', 'epoch': '0.2873'} + 89%|██████████████████████████▌ | 7987/9000 [6:54:32<1:01:26, 3.64s/it] {'lm_loss': '1.086', 'visual_loss': '2.63', 'seg_loss': '0.7497', 'dino_loss': '0.9095', 'depth_loss': '0.2169', 'vggt_mse_loss': '0.2151', 'vggt_cos_loss': '0.01741', 'pidinet_loss': '0.2899', 'siglip_loss': '0.4637', 'epoch': '0.2873'} + 89%|██████████████████████████▌ | 7987/9000 [6:54:34<1:01:26, 3.64s/it][Dataset] cur_step=7988 phase=D_mixed_covt +[Dataset] cur_step=7988 phase=D_mixed_covt[Dataset] cur_step=7988 phase=D_mixed_covt + +[Dataset] cur_step=7988 phase=D_mixed_covt +[Dataset] cur_step=7988 phase=D_mixed_covt +[Dataset] cur_step=7988 phase=D_mixed_covt[Dataset] cur_step=7988 phase=D_mixed_covt + + 89%|████████████████████████████▍ | 7988/9000 [6:54:34<53:13, 3.16s/it][Dataset] cur_step=7988 phase=D_mixed_covt + {'loss': '3.111', 'grad_norm': '2.161', 'learning_rate': '1.709e-06', 'epoch': '0.2874'} + 89%|████████████████████████████▍ | 7988/9000 [6:54:34<53:13, 3.16s/it] {'lm_loss': '0.5005', 'visual_loss': '2.518', 'seg_loss': '0.6812', 'dino_loss': '0.9228', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2193', 'siglip_loss': '0.6943', 'epoch': '0.2874'} + 89%|████████████████████████████▍ | 7988/9000 [6:54:35<53:13, 3.16s/it][Dataset] cur_step=7989 phase=D_mixed_covt +[Dataset] cur_step=7989 phase=D_mixed_covt +[Dataset] cur_step=7989 phase=D_mixed_covt +[Dataset] cur_step=7989 phase=D_mixed_covt +[Dataset] cur_step=7989 phase=D_mixed_covt +[Dataset] cur_step=7989 phase=D_mixed_covt +[Dataset] cur_step=7989 phase=D_mixed_covt + 89%|████████████████████████████▍ | 7989/9000 [6:54:36<45:17, 2.69s/it][Dataset] cur_step=7989 phase=D_mixed_covt + {'loss': '3.27', 'grad_norm': '2.485', 'learning_rate': '1.705e-06', 'epoch': '0.2874'} + 89%|████████████████████████████▍ | 7989/9000 [6:54:36<45:17, 2.69s/it] {'lm_loss': '0.1701', 'visual_loss': '2.204', 'seg_loss': '0', 'dino_loss': '0.9171', 'depth_loss': '0.3406', 'vggt_mse_loss': '0.3379', 'vggt_cos_loss': '0.02739', 'pidinet_loss': '0', 'siglip_loss': '0.9468', 'epoch': '0.2874'} + 89%|████████████████████████████▍ | 7989/9000 [6:54:37<45:17, 2.69s/it][Dataset] cur_step=7990 phase=D_mixed_covt +[Dataset] cur_step=7990 phase=D_mixed_covt +[Dataset] cur_step=7990 phase=D_mixed_covt +[Dataset] cur_step=7990 phase=D_mixed_covt + 89%|████████████████████████████▍ | 7990/9000 [6:54:40<49:42, 2.95s/it][Dataset] cur_step=7990 phase=D_mixed_covt +[Dataset] cur_step=7990 phase=D_mixed_covt +[Dataset] cur_step=7990 phase=D_mixed_covt +[Dataset] cur_step=7990 phase=D_mixed_covt + {'loss': '2.352', 'grad_norm': '4.84', 'learning_rate': '1.702e-06', 'epoch': '0.2874'} + 89%|████████████████████████████▍ | 7990/9000 [6:54:40<49:42, 2.95s/it] {'lm_loss': '0.2769', 'visual_loss': '2.619', 'seg_loss': '0.7139', 'dino_loss': '0.9182', 'depth_loss': '0.225', 'vggt_mse_loss': '0.2233', 'vggt_cos_loss': '0.01738', 'pidinet_loss': '0.2249', 'siglip_loss': '0.5373', 'epoch': '0.2874'} + 89%|████████████████████████████▍ | 7990/9000 [6:54:42<49:42, 2.95s/it][Dataset] cur_step=7991 phase=D_mixed_covt +[Dataset] cur_step=7991 phase=D_mixed_covt +[Dataset] cur_step=7991 phase=D_mixed_covt + 89%|████████████████████████████▍ | 7991/9000 [6:54:43<52:28, 3.12s/it][Dataset] cur_step=7991 phase=D_mixed_covt +[Dataset] cur_step=7991 phase=D_mixed_covt +[Dataset] cur_step=7991 phase=D_mixed_covt +[Dataset] cur_step=7991 phase=D_mixed_covt +[Dataset] cur_step=7991 phase=D_mixed_covt + {'loss': '3.229', 'grad_norm': '3.367', 'learning_rate': '1.699e-06', 'epoch': '0.2875'} + 89%|████████████████████████████▍ | 7991/9000 [6:54:43<52:28, 3.12s/it] {'lm_loss': '1.028', 'visual_loss': '2.528', 'seg_loss': '0.7442', 'dino_loss': '0.933', 'depth_loss': '0.1586', 'vggt_mse_loss': '0.1574', 'vggt_cos_loss': '0.01198', 'pidinet_loss': '0.2279', 'siglip_loss': '0.4638', 'epoch': '0.2875'} + 89%|████████████████████████████▍ | 7991/9000 [6:54:46<52:28, 3.12s/it][Dataset] cur_step=7992 phase=D_mixed_covt +[Dataset] cur_step=7992 phase=D_mixed_covt +[Dataset] cur_step=7992 phase=D_mixed_covt[Dataset] cur_step=7992 phase=D_mixed_covt + +[Dataset] cur_step=7992 phase=D_mixed_covt + 89%|████████████████████████████▍ | 7992/9000 [6:54:46<52:32, 3.13s/it][Dataset] cur_step=7992 phase=D_mixed_covt +[Dataset] cur_step=7992 phase=D_mixed_covt +[Dataset] cur_step=7992 phase=D_mixed_covt + {'loss': '3.22', 'grad_norm': '4.664', 'learning_rate': '1.695e-06', 'epoch': '0.2875'} + 89%|████████████████████████████▍ | 7992/9000 [6:54:46<52:32, 3.13s/it] {'lm_loss': '0.9062', 'visual_loss': '2.465', 'seg_loss': '0.6352', 'dino_loss': '0.8977', 'depth_loss': '0.1247', 'vggt_mse_loss': '0.1238', 'vggt_cos_loss': '0.009031', 'pidinet_loss': '0.3046', 'siglip_loss': '0.5028', 'epoch': '0.2875'} + 89%|████████████████████████████▍ | 7992/9000 [6:54:48<52:32, 3.13s/it][Dataset] cur_step=7993 phase=D_mixed_covt +[Dataset] cur_step=7993 phase=D_mixed_covt + 89%|████████████████████████████▍ | 7993/9000 [6:54:49<49:50, 2.97s/it][Dataset] cur_step=7993 phase=D_mixed_covt[Dataset] cur_step=7993 phase=D_mixed_covt + +[Dataset] cur_step=7993 phase=D_mixed_covt +[Dataset] cur_step=7993 phase=D_mixed_covt +[Dataset] cur_step=7993 phase=D_mixed_covt +[Dataset] cur_step=7993 phase=D_mixed_covt + {'loss': '3.185', 'grad_norm': '2.221', 'learning_rate': '1.692e-06', 'epoch': '0.2875'} + 89%|████████████████████████████▍ | 7993/9000 [6:54:49<49:50, 2.97s/it] {'lm_loss': '0.4482', 'visual_loss': '2.627', 'seg_loss': '0.7331', 'dino_loss': '0.9162', 'depth_loss': '0.2914', 'vggt_mse_loss': '0.2888', 'vggt_cos_loss': '0.02666', 'pidinet_loss': '0.2272', 'siglip_loss': '0.459', 'epoch': '0.2875'} + 89%|████████████████████████████▍ | 7993/9000 [6:54:51<49:50, 2.97s/it][Dataset] cur_step=7994 phase=D_mixed_covt +[Dataset] cur_step=7994 phase=D_mixed_covt[Dataset] cur_step=7994 phase=D_mixed_covt[Dataset] cur_step=7994 phase=D_mixed_covt + + +[Dataset] cur_step=7994 phase=D_mixed_covt + 89%|████████████████████████████▍ | 7994/9000 [6:54:52<50:31, 3.01s/it][Dataset] cur_step=7994 phase=D_mixed_covt +[Dataset] cur_step=7994 phase=D_mixed_covt +[Dataset] cur_step=7994 phase=D_mixed_covt + {'loss': '3.305', 'grad_norm': '10.27', 'learning_rate': '1.689e-06', 'epoch': '0.2876'} + 89%|████████████████████████████▍ | 7994/9000 [6:54:52<50:31, 3.01s/it] {'lm_loss': '0.7258', 'visual_loss': '2.622', 'seg_loss': '0.831', 'dino_loss': '0.9203', 'depth_loss': '0.2894', 'vggt_mse_loss': '0.2871', 'vggt_cos_loss': '0.02311', 'pidinet_loss': '0.2174', 'siglip_loss': '0.3643', 'epoch': '0.2876'} + 89%|████████████████████████████▍ | 7994/9000 [6:54:56<50:31, 3.01s/it][Dataset] cur_step=7995 phase=D_mixed_covt +[Dataset] cur_step=7995 phase=D_mixed_covt +[Dataset] cur_step=7995 phase=D_mixed_covt +[Dataset] cur_step=7995 phase=D_mixed_covt +[Dataset] cur_step=7995 phase=D_mixed_covt +[Dataset] cur_step=7995 phase=D_mixed_covt + 89%|████████████████████████████▍ | 7995/9000 [6:54:57<58:29, 3.49s/it][Dataset] cur_step=7995 phase=D_mixed_covt +[Dataset] cur_step=7995 phase=D_mixed_covt + {'loss': '3.049', 'grad_norm': '2.817', 'learning_rate': '1.685e-06', 'epoch': '0.2876'} + 89%|████████████████████████████▍ | 7995/9000 [6:54:57<58:29, 3.49s/it] {'lm_loss': '0.3069', 'visual_loss': '2.492', 'seg_loss': '0.6503', 'dino_loss': '0.9157', 'depth_loss': '0.1833', 'vggt_mse_loss': '0.182', 'vggt_cos_loss': '0.0129', 'pidinet_loss': '0.1817', 'siglip_loss': '0.5605', 'epoch': '0.2876'} + 89%|████████████████████████████▍ | 7995/9000 [6:54:58<58:29, 3.49s/it][Dataset] cur_step=7996 phase=D_mixed_covt +[Dataset] cur_step=7996 phase=D_mixed_covt +[Dataset] cur_step=7996 phase=D_mixed_covt +[Dataset] cur_step=7996 phase=D_mixed_covt + 89%|██████████████████████████▋ | 7996/9000 [6:55:01<1:02:21, 3.73s/it][Dataset] cur_step=7996 phase=D_mixed_covt +[Dataset] cur_step=7996 phase=D_mixed_covt[Dataset] cur_step=7996 phase=D_mixed_covt + +[Dataset] cur_step=7996 phase=D_mixed_covt + {'loss': '3.42', 'grad_norm': '4.09', 'learning_rate': '1.682e-06', 'epoch': '0.2877'} + 89%|██████████████████████████▋ | 7996/9000 [6:55:01<1:02:21, 3.73s/it] {'lm_loss': '0.8564', 'visual_loss': '2.314', 'seg_loss': '0.5757', 'dino_loss': '0.866', 'depth_loss': '0.2041', 'vggt_mse_loss': '0.2024', 'vggt_cos_loss': '0.01691', 'pidinet_loss': '0.2069', 'siglip_loss': '0.4613', 'epoch': '0.2877'} + 89%|██████████████████████████▋ | 7996/9000 [6:55:02<1:02:21, 3.73s/it][Dataset] cur_step=7997 phase=D_mixed_covt +[Dataset] cur_step=7997 phase=D_mixed_covt +[Dataset] cur_step=7997 phase=D_mixed_covt +[Dataset] cur_step=7997 phase=D_mixed_covt +[Dataset] cur_step=7997 phase=D_mixed_covt +[Dataset] cur_step=7997 phase=D_mixed_covt +[Dataset] cur_step=7997 phase=D_mixed_covt +[Dataset] cur_step=7997 phase=D_mixed_covt + 89%|████████████████████████████▍ | 7997/9000 [6:55:03<53:21, 3.19s/it] {'loss': '3.346', 'grad_norm': '3.42', 'learning_rate': '1.679e-06', 'epoch': '0.2877'} + 89%|████████████████████████████▍ | 7997/9000 [6:55:03<53:21, 3.19s/it] {'lm_loss': '0.08626', 'visual_loss': '2.015', 'seg_loss': '0.5631', 'dino_loss': '0.9011', 'depth_loss': '0.2591', 'vggt_mse_loss': '0.2569', 'vggt_cos_loss': '0.02142', 'pidinet_loss': '0.2918', 'siglip_loss': '0', 'epoch': '0.2877'} + 89%|████████████████████████████▍ | 7997/9000 [6:55:05<53:21, 3.19s/it][Dataset] cur_step=7998 phase=D_mixed_covt +[Dataset] cur_step=7998 phase=D_mixed_covt[Dataset] cur_step=7998 phase=D_mixed_covt + + 89%|████████████████████████████▍ | 7998/9000 [6:55:05<50:20, 3.01s/it][Dataset] cur_step=7998 phase=D_mixed_covt +[Dataset] cur_step=7998 phase=D_mixed_covt +[Dataset] cur_step=7998 phase=D_mixed_covt +[Dataset] cur_step=7998 phase=D_mixed_covt +[Dataset] cur_step=7998 phase=D_mixed_covt + {'loss': '2.477', 'grad_norm': '2.858', 'learning_rate': '1.675e-06', 'epoch': '0.2877'} + 89%|████████████████████████████▍ | 7998/9000 [6:55:05<50:20, 3.01s/it] {'lm_loss': '0.7646', 'visual_loss': '2.563', 'seg_loss': '0.7495', 'dino_loss': '0.8828', 'depth_loss': '0.2586', 'vggt_mse_loss': '0.2568', 'vggt_cos_loss': '0.01781', 'pidinet_loss': '0.2652', 'siglip_loss': '0.4072', 'epoch': '0.2877'} + 89%|████████████████████████████▍ | 7998/9000 [6:55:07<50:20, 3.01s/it][Dataset] cur_step=7999 phase=D_mixed_covt +[Dataset] cur_step=7999 phase=D_mixed_covt +[Dataset] cur_step=7999 phase=D_mixed_covt +[Dataset] cur_step=7999 phase=D_mixed_covt +[Dataset] cur_step=7999 phase=D_mixed_covt +[Dataset] cur_step=7999 phase=D_mixed_covt[Dataset] cur_step=7999 phase=D_mixed_covt + +[Dataset] cur_step=7999 phase=D_mixed_covt + 89%|████████████████████████████▍ | 7999/9000 [6:55:08<48:32, 2.91s/it] {'loss': '3.111', 'grad_norm': '3.941', 'learning_rate': '1.672e-06', 'epoch': '0.2878'} + 89%|████████████████████████████▍ | 7999/9000 [6:55:08<48:32, 2.91s/it] {'lm_loss': '0.6887', 'visual_loss': '2.358', 'seg_loss': '0.6913', 'dino_loss': '0.8761', 'depth_loss': '0.1992', 'vggt_mse_loss': '0.1981', 'vggt_cos_loss': '0.01142', 'pidinet_loss': '0.1813', 'siglip_loss': '0.41', 'epoch': '0.2878'} + 89%|████████████████████████████▍ | 7999/9000 [6:55:10<48:32, 2.91s/it][Dataset] cur_step=8000 phase=D_mixed_covt +[Dataset] cur_step=8000 phase=D_mixed_covt +[Dataset] cur_step=8000 phase=D_mixed_covt +[Dataset] cur_step=8000 phase=D_mixed_covt[Dataset] cur_step=8000 phase=D_mixed_covt + +[Dataset] cur_step=8000 phase=D_mixed_covt +[Dataset] cur_step=8000 phase=D_mixed_covt +[Dataset] cur_step=8000 phase=D_mixed_covt +[cvbench] step=8000 metrics={"eval/cvbench_2d_accuracy": 0.776, "eval/cvbench_2d_count_accuracy": 0.6788321167883211, "eval/cvbench_2d_relation_accuracy": 0.8938053097345132, "eval/cvbench_2d_task_macro_accuracy": 0.7863187132614171, "eval/cvbench_3d_accuracy": 0.892, "eval/cvbench_3d_depth_accuracy": 0.944, "eval/cvbench_3d_distance_accuracy": 0.84, "eval/cvbench_3d_task_macro_accuracy": 0.8919999999999999, "eval/cvbench_accuracy": 0.834, "eval/cvbench_covt_answer_tag_rate": 1.0, "eval/cvbench_covt_any_anchor_rate": 1.0, "eval/cvbench_covt_depth_tokens_mean": 4.0, "eval/cvbench_covt_dino_tokens_mean": 4.0, "eval/cvbench_covt_pidinet_tokens_mean": 3.992, "eval/cvbench_covt_sam_tokens_mean": 8.0, "eval/cvbench_covt_siglip_tokens_mean": 3.768, "eval/cvbench_covt_think_rate": 1.0, "eval/cvbench_errors": 0.0, "eval/cvbench_parse_rate": 1.0, "eval/cvbench_samples": 500.0, "eval/cvbench_seconds": 303.98674055421725, "eval/cvbench_task_macro_accuracy": 0.8391593566307085} + 89%|█████████████████████████▊ | 8000/9000 [7:00:17<26:19:30, 94.77s/it] {'loss': '3.142', 'grad_norm': '3.193', 'learning_rate': '1.669e-06', 'epoch': '0.2878'} + 89%|█████████████████████████▊ | 8000/9000 [7:00:17<26:19:30, 94.77s/it]Saving model checkpoint to /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-8000 +chat template saved in /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-8000/chat_template.jinja +tokenizer config file saved in /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-8000/tokenizer_config.json +chat template saved in /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-8000/chat_template.jinja +processor saved in /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-8000/processor_config.json + {'lm_loss': '0.3866', 'visual_loss': '2.903', 'seg_loss': '0.7902', 'dino_loss': '0.8921', 'depth_loss': '0.3217', 'vggt_mse_loss': '0.3186', 'vggt_cos_loss': '0.03086', 'pidinet_loss': '0.2574', 'siglip_loss': '0.6415', 'epoch': '0.2878'} + 89%|█████████████████████████▊ | 8000/9000 [7:00:37<26:19:30, 94.77s/it][Dataset] cur_step=8001 phase=D_mixed_covt +[Dataset] cur_step=8001 phase=D_mixed_covt[Dataset] cur_step=8001 phase=D_mixed_covt + +[Dataset] cur_step=8001 phase=D_mixed_covt +[Dataset] cur_step=8001 phase=D_mixed_covt + 89%|█████████████████████████▊ | 8001/9000 [7:00:38<20:10:31, 72.70s/it][Dataset] cur_step=8001 phase=D_mixed_covt +[Dataset] cur_step=8001 phase=D_mixed_covt +[Dataset] cur_step=8001 phase=D_mixed_covt + {'loss': '3.23', 'grad_norm': '3.878', 'learning_rate': '1.665e-06', 'epoch': '0.2878'} + 89%|█████████████████████████▊ | 8001/9000 [7:00:38<20:10:31, 72.70s/it] {'lm_loss': '0.0791', 'visual_loss': '2.758', 'seg_loss': '0.7619', 'dino_loss': '0.9296', 'depth_loss': '0.2101', 'vggt_mse_loss': '0.2088', 'vggt_cos_loss': '0.01312', 'pidinet_loss': '0.321', 'siglip_loss': '0.535', 'epoch': '0.2878'} + 89%|█████████████████████████▊ | 8001/9000 [7:00:40<20:10:31, 72.70s/it][Dataset] cur_step=8002 phase=D_mixed_covt +[Dataset] cur_step=8002 phase=D_mixed_covt[Dataset] cur_step=8002 phase=D_mixed_covt[Dataset] cur_step=8002 phase=D_mixed_covt + + +[Dataset] cur_step=8002 phase=D_mixed_covt + 89%|█████████████████████████▊ | 8002/9000 [7:00:40<14:16:15, 51.48s/it][Dataset] cur_step=8002 phase=D_mixed_covt +[Dataset] cur_step=8002 phase=D_mixed_covt +[Dataset] cur_step=8002 phase=D_mixed_covt + {'loss': '3.232', 'grad_norm': '3.115', 'learning_rate': '1.662e-06', 'epoch': '0.2879'} + 89%|█████████████████████████▊ | 8002/9000 [7:00:40<14:16:15, 51.48s/it] {'lm_loss': '0.7578', 'visual_loss': '2.109', 'seg_loss': '0.7018', 'dino_loss': '0.9126', 'depth_loss': '0.2432', 'vggt_mse_loss': '0.2412', 'vggt_cos_loss': '0.02057', 'pidinet_loss': '0.2518', 'siglip_loss': '0', 'epoch': '0.2879'} + 89%|█████████████████████████▊ | 8002/9000 [7:00:42<14:16:15, 51.48s/it][Dataset] cur_step=8003 phase=D_mixed_covt +[Dataset] cur_step=8003 phase=D_mixed_covt +[Dataset] cur_step=8003 phase=D_mixed_covt[Dataset] cur_step=8003 phase=D_mixed_covt + +[Dataset] cur_step=8003 phase=D_mixed_covt +[Dataset] cur_step=8003 phase=D_mixed_covt +[Dataset] cur_step=8003 phase=D_mixed_covt + 89%|█████████████████████████▊ | 8003/9000 [7:00:43<10:11:39, 36.81s/it][Dataset] cur_step=8003 phase=D_mixed_covt + {'loss': '2.866', 'grad_norm': '8.167', 'learning_rate': '1.659e-06', 'epoch': '0.2879'} + 89%|█████████████████████████▊ | 8003/9000 [7:00:43<10:11:39, 36.81s/it] {'lm_loss': '0.512', 'visual_loss': '2.803', 'seg_loss': '0.6105', 'dino_loss': '0.904', 'depth_loss': '0.3073', 'vggt_mse_loss': '0.305', 'vggt_cos_loss': '0.02326', 'pidinet_loss': '0.2684', 'siglip_loss': '0.713', 'epoch': '0.2879'} + 89%|█████████████████████████▊ | 8003/9000 [7:00:46<10:11:39, 36.81s/it][Dataset] cur_step=8004 phase=D_mixed_covt[Dataset] cur_step=8004 phase=D_mixed_covt + +[Dataset] cur_step=8004 phase=D_mixed_covt +[Dataset] cur_step=8004 phase=D_mixed_covt +[Dataset] cur_step=8004 phase=D_mixed_covt + 89%|██████████████████████████▋ | 8004/9000 [7:00:47<7:28:11, 27.00s/it][Dataset] cur_step=8004 phase=D_mixed_covt +[Dataset] cur_step=8004 phase=D_mixed_covt +[Dataset] cur_step=8004 phase=D_mixed_covt + {'loss': '3.126', 'grad_norm': '2.543', 'learning_rate': '1.656e-06', 'epoch': '0.2879'} + 89%|██████████████████████████▋ | 8004/9000 [7:00:47<7:28:11, 27.00s/it] {'lm_loss': '0.9613', 'visual_loss': '2.907', 'seg_loss': '0.7578', 'dino_loss': '0.9652', 'depth_loss': '0.2764', 'vggt_mse_loss': '0.2745', 'vggt_cos_loss': '0.01921', 'pidinet_loss': '0.2602', 'siglip_loss': '0.6479', 'epoch': '0.2879'} + 89%|██████████████████████████▋ | 8004/9000 [7:00:49<7:28:11, 27.00s/it][Dataset] cur_step=8005 phase=D_mixed_covt +[Dataset] cur_step=8005 phase=D_mixed_covt +[Dataset] cur_step=8005 phase=D_mixed_covt +[Dataset] cur_step=8005 phase=D_mixed_covt +[Dataset] cur_step=8005 phase=D_mixed_covt +[Dataset] cur_step=8005 phase=D_mixed_covt +[Dataset] cur_step=8005 phase=D_mixed_covt + 89%|██████████████████████████▋ | 8005/9000 [7:00:50<5:26:20, 19.68s/it][Dataset] cur_step=8005 phase=D_mixed_covt + {'loss': '3.682', 'grad_norm': '5.051', 'learning_rate': '1.652e-06', 'epoch': '0.288'} + 89%|██████████████████████████▋ | 8005/9000 [7:00:50<5:26:20, 19.68s/it] {'lm_loss': '0.7393', 'visual_loss': '1.287', 'seg_loss': '0', 'dino_loss': '0.8918', 'depth_loss': '0.3948', 'vggt_mse_loss': '0.3924', 'vggt_cos_loss': '0.02402', 'pidinet_loss': '0', 'siglip_loss': '0', 'epoch': '0.288'} + 89%|██████████████████████████▋ | 8005/9000 [7:00:50<5:26:20, 19.68s/it][Dataset] cur_step=8006 phase=D_mixed_covt +[Dataset] cur_step=8006 phase=D_mixed_covt[Dataset] cur_step=8006 phase=D_mixed_covt + +[Dataset] cur_step=8006 phase=D_mixed_covt +[Dataset] cur_step=8006 phase=D_mixed_covt +[Dataset] cur_step=8006 phase=D_mixed_covt +[Dataset] cur_step=8006 phase=D_mixed_covt +[Dataset] cur_step=8006 phase=D_mixed_covt 89%|██████████████████████████▋ | 8006/9000 [7:00:51<3:54:14, 14.14s/it] + {'loss': '1.953', 'grad_norm': '5.456', 'learning_rate': '1.649e-06', 'epoch': '0.288'} + 89%|██████████████████████████▋ | 8006/9000 [7:00:51<3:54:14, 14.14s/it] {'lm_loss': '0.1468', 'visual_loss': '2.677', 'seg_loss': '0.4971', 'dino_loss': '0.9628', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2625', 'siglip_loss': '0.9542', 'epoch': '0.288'} + 89%|██████████████████████████▋ | 8006/9000 [7:00:53<3:54:14, 14.14s/it][Dataset] cur_step=8007 phase=D_mixed_covt +[Dataset] cur_step=8007 phase=D_mixed_covt +[Dataset] cur_step=8007 phase=D_mixed_covt +[Dataset] cur_step=8007 phase=D_mixed_covt +[Dataset] cur_step=8007 phase=D_mixed_covt +[Dataset] cur_step=8007 phase=D_mixed_covt + 89%|██████████████████████████▋ | 8007/9000 [7:00:53<2:56:31, 10.67s/it][Dataset] cur_step=8007 phase=D_mixed_covt +[Dataset] cur_step=8007 phase=D_mixed_covt + {'loss': '3.04', 'grad_norm': '2.921', 'learning_rate': '1.646e-06', 'epoch': '0.2881'} + 89%|██████████████████████████▋ | 8007/9000 [7:00:53<2:56:31, 10.67s/it] {'lm_loss': '0.3303', 'visual_loss': '2.651', 'seg_loss': '0.7364', 'dino_loss': '0.9168', 'depth_loss': '0.2531', 'vggt_mse_loss': '0.2517', 'vggt_cos_loss': '0.01444', 'pidinet_loss': '0.2497', 'siglip_loss': '0.495', 'epoch': '0.2881'} + 89%|██████████████████████████▋ | 8007/9000 [7:00:57<2:56:31, 10.67s/it][Dataset] cur_step=8008 phase=D_mixed_covt +[Dataset] cur_step=8008 phase=D_mixed_covt +[Dataset] cur_step=8008 phase=D_mixed_covt +[Dataset] cur_step=8008 phase=D_mixed_covt + 89%|██████████████████████████▋ | 8008/9000 [7:00:57<2:21:58, 8.59s/it][Dataset] cur_step=8008 phase=D_mixed_covt[Dataset] cur_step=8008 phase=D_mixed_covt + +[Dataset] cur_step=8008 phase=D_mixed_covt +[Dataset] cur_step=8008 phase=D_mixed_covt + {'loss': '3.006', 'grad_norm': '2.603', 'learning_rate': '1.642e-06', 'epoch': '0.2881'} + 89%|██████████████████████████▋ | 8008/9000 [7:00:57<2:21:58, 8.59s/it] {'lm_loss': '0.9949', 'visual_loss': '2.58', 'seg_loss': '0.677', 'dino_loss': '0.947', 'depth_loss': '0.2061', 'vggt_mse_loss': '0.2049', 'vggt_cos_loss': '0.01204', 'pidinet_loss': '0.1993', 'siglip_loss': '0.5506', 'epoch': '0.2881'} + 89%|██████████████████████████▋ | 8008/9000 [7:00:59<2:21:58, 8.59s/it][Dataset] cur_step=8009 phase=D_mixed_covt +[Dataset] cur_step=8009 phase=D_mixed_covt[Dataset] cur_step=8009 phase=D_mixed_covt + +[Dataset] cur_step=8009 phase=D_mixed_covt +[Dataset] cur_step=8009 phase=D_mixed_covt +[Dataset] cur_step=8009 phase=D_mixed_covt + 89%|██████████████████████████▋ | 8009/9000 [7:01:00<1:53:35, 6.88s/it][Dataset] cur_step=8009 phase=D_mixed_covt[Dataset] cur_step=8009 phase=D_mixed_covt + + {'loss': '2.959', 'grad_norm': '3.099', 'learning_rate': '1.639e-06', 'epoch': '0.2881'} + 89%|██████████████████████████▋ | 8009/9000 [7:01:00<1:53:35, 6.88s/it] {'lm_loss': '1.055', 'visual_loss': '2.657', 'seg_loss': '0.684', 'dino_loss': '0.9214', 'depth_loss': '0.3913', 'vggt_mse_loss': '0.3883', 'vggt_cos_loss': '0.02982', 'pidinet_loss': '0.2018', 'siglip_loss': '0.4587', 'epoch': '0.2881'} + 89%|██████████████████████████▋ | 8009/9000 [7:01:03<1:53:35, 6.88s/it][Dataset] cur_step=8010 phase=D_mixed_covt +[Dataset] cur_step=8010 phase=D_mixed_covt +[Dataset] cur_step=8010 phase=D_mixed_covt +[Dataset] cur_step=8010 phase=D_mixed_covt + 89%|██████████████████████████▋ | 8010/9000 [7:01:04<1:38:35, 5.98s/it][Dataset] cur_step=8010 phase=D_mixed_covt[Dataset] cur_step=8010 phase=D_mixed_covt + +[Dataset] cur_step=8010 phase=D_mixed_covt +[Dataset] cur_step=8010 phase=D_mixed_covt + {'loss': '3.308', 'grad_norm': '3.322', 'learning_rate': '1.636e-06', 'epoch': '0.2882'} + 89%|██████████████████████████▋ | 8010/9000 [7:01:04<1:38:35, 5.98s/it] {'lm_loss': '0.7083', 'visual_loss': '2.823', 'seg_loss': '0.9093', 'dino_loss': '0.928', 'depth_loss': '0.2614', 'vggt_mse_loss': '0.2598', 'vggt_cos_loss': '0.01604', 'pidinet_loss': '0', 'siglip_loss': '0.7243', 'epoch': '0.2882'} + 89%|██████████████████████████▋ | 8010/9000 [7:01:06<1:38:35, 5.98s/it][Dataset] cur_step=8011 phase=D_mixed_covt +[Dataset] cur_step=8011 phase=D_mixed_covt +[Dataset] cur_step=8011 phase=D_mixed_covt 89%|██████████████████████████▋ | 8011/9000 [7:01:06<1:21:34, 4.95s/it] +[Dataset] cur_step=8011 phase=D_mixed_covt +[Dataset] cur_step=8011 phase=D_mixed_covt +[Dataset] cur_step=8011 phase=D_mixed_covt +[Dataset] cur_step=8011 phase=D_mixed_covt[Dataset] cur_step=8011 phase=D_mixed_covt + + {'loss': '3.089', 'grad_norm': '2.867', 'learning_rate': '1.633e-06', 'epoch': '0.2882'} + 89%|██████████████████████████▋ | 8011/9000 [7:01:06<1:21:34, 4.95s/it] {'lm_loss': '0.4065', 'visual_loss': '2.206', 'seg_loss': '0', 'dino_loss': '0.9134', 'depth_loss': '0.2796', 'vggt_mse_loss': '0.2776', 'vggt_cos_loss': '0.02029', 'pidinet_loss': '0.1754', 'siglip_loss': '0.8376', 'epoch': '0.2882'} + 89%|██████████████████████████▋ | 8011/9000 [7:01:07<1:21:34, 4.95s/it][Dataset] cur_step=8012 phase=D_mixed_covt[Dataset] cur_step=8012 phase=D_mixed_covt + +[Dataset] cur_step=8012 phase=D_mixed_covt +[Dataset] cur_step=8012 phase=D_mixed_covt[Dataset] cur_step=8012 phase=D_mixed_covt +[Dataset] cur_step=8012 phase=D_mixed_covt + 89%|██████████████████████████▋ | 8012/9000 [7:01:08<1:02:42, 3.81s/it] +[Dataset] cur_step=8012 phase=D_mixed_covt +[Dataset] cur_step=8012 phase=D_mixed_covt + {'loss': '2.752', 'grad_norm': '3.096', 'learning_rate': '1.629e-06', 'epoch': '0.2882'} + 89%|██████████████████████████▋ | 8012/9000 [7:01:08<1:02:42, 3.81s/it] {'lm_loss': '0.8167', 'visual_loss': '2.424', 'seg_loss': '0.5912', 'dino_loss': '0.8902', 'depth_loss': '0.1923', 'vggt_mse_loss': '0.1911', 'vggt_cos_loss': '0.01196', 'pidinet_loss': '0', 'siglip_loss': '0.75', 'epoch': '0.2882'} + 89%|██████████████████████████▋ | 8012/9000 [7:01:10<1:02:42, 3.81s/it][Dataset] cur_step=8013 phase=D_mixed_covt +[Dataset] cur_step=8013 phase=D_mixed_covt +[Dataset] cur_step=8013 phase=D_mixed_covt +[Dataset] cur_step=8013 phase=D_mixed_covt[Dataset] cur_step=8013 phase=D_mixed_covt + +[Dataset] cur_step=8013 phase=D_mixed_covt +[Dataset] cur_step=8013 phase=D_mixed_covt 89%|████████████████████████████▍ | 8013/9000 [7:01:11<59:59, 3.65s/it] +[Dataset] cur_step=8013 phase=D_mixed_covt + {'loss': '3.174', 'grad_norm': '2.619', 'learning_rate': '1.626e-06', 'epoch': '0.2883'} + 89%|████████████████████████████▍ | 8013/9000 [7:01:11<59:59, 3.65s/it] {'lm_loss': '0.3839', 'visual_loss': '1.665', 'seg_loss': '0.5434', 'dino_loss': '0', 'depth_loss': '0.3691', 'vggt_mse_loss': '0.3661', 'vggt_cos_loss': '0.02972', 'pidinet_loss': '0.2638', 'siglip_loss': '0.4884', 'epoch': '0.2883'} + 89%|████████████████████████████▍ | 8013/9000 [7:01:13<59:59, 3.65s/it][Dataset] cur_step=8014 phase=D_mixed_covt +[Dataset] cur_step=8014 phase=D_mixed_covt +[Dataset] cur_step=8014 phase=D_mixed_covt +[Dataset] cur_step=8014 phase=D_mixed_covt + 89%|████████████████████████████▍ | 8014/9000 [7:01:14<55:53, 3.40s/it][Dataset] cur_step=8014 phase=D_mixed_covt[Dataset] cur_step=8014 phase=D_mixed_covt + +[Dataset] cur_step=8014 phase=D_mixed_covt +[Dataset] cur_step=8014 phase=D_mixed_covt + {'loss': '2.358', 'grad_norm': '3.783', 'learning_rate': '1.623e-06', 'epoch': '0.2883'} + 89%|████████████████████████████▍ | 8014/9000 [7:01:14<55:53, 3.40s/it] {'lm_loss': '0.9864', 'visual_loss': '2.173', 'seg_loss': '0.7178', 'dino_loss': '0.9057', 'depth_loss': '0.2519', 'vggt_mse_loss': '0.2503', 'vggt_cos_loss': '0.01567', 'pidinet_loss': '0.298', 'siglip_loss': '0', 'epoch': '0.2883'} + 89%|████████████████████████████▍ | 8014/9000 [7:01:16<55:53, 3.40s/it][Dataset] cur_step=8015 phase=D_mixed_covt[Dataset] cur_step=8015 phase=D_mixed_covt +[Dataset] cur_step=8015 phase=D_mixed_covt + +[Dataset] cur_step=8015 phase=D_mixed_covt +[Dataset] cur_step=8015 phase=D_mixed_covt[Dataset] cur_step=8015 phase=D_mixed_covt + + 89%|████████████████████████████▍ | 8015/9000 [7:01:17<57:26, 3.50s/it][Dataset] cur_step=8015 phase=D_mixed_covt +[Dataset] cur_step=8015 phase=D_mixed_covt + {'loss': '2.863', 'grad_norm': '3.675', 'learning_rate': '1.62e-06', 'epoch': '0.2883'} + 89%|████████████████████████████▍ | 8015/9000 [7:01:17<57:26, 3.50s/it] {'lm_loss': '1.103', 'visual_loss': '2.841', 'seg_loss': '0.7963', 'dino_loss': '0.8815', 'depth_loss': '0.4342', 'vggt_mse_loss': '0.43', 'vggt_cos_loss': '0.04285', 'pidinet_loss': '0.2391', 'siglip_loss': '0.4901', 'epoch': '0.2883'} + 89%|████████████████████████████▍ | 8015/9000 [7:01:19<57:26, 3.50s/it][Dataset] cur_step=8016 phase=D_mixed_covt +[Dataset] cur_step=8016 phase=D_mixed_covt 89%|████████████████████████████▌ | 8016/9000 [7:01:19<48:33, 2.96s/it] +[Dataset] cur_step=8016 phase=D_mixed_covt[Dataset] cur_step=8016 phase=D_mixed_covt + +[Dataset] cur_step=8016 phase=D_mixed_covt[Dataset] cur_step=8016 phase=D_mixed_covt + +[Dataset] cur_step=8016 phase=D_mixed_covt +[Dataset] cur_step=8016 phase=D_mixed_covt + {'loss': '3.378', 'grad_norm': '2.378', 'learning_rate': '1.616e-06', 'epoch': '0.2884'} + 89%|████████████████████████████▌ | 8016/9000 [7:01:19<48:33, 2.96s/it] {'lm_loss': '0.5727', 'visual_loss': '3.118', 'seg_loss': '0.5639', 'dino_loss': '0.9294', 'depth_loss': '0.2569', 'vggt_mse_loss': '0.2553', 'vggt_cos_loss': '0.01661', 'pidinet_loss': '0.3195', 'siglip_loss': '1.049', 'epoch': '0.2884'} + 89%|████████████████████████████▌ | 8016/9000 [7:01:21<48:33, 2.96s/it][Dataset] cur_step=8017 phase=D_mixed_covt +[Dataset] cur_step=8017 phase=D_mixed_covt +[Dataset] cur_step=8017 phase=D_mixed_covt + 89%|████████████████████████████▌ | 8017/9000 [7:01:22<47:10, 2.88s/it][Dataset] cur_step=8017 phase=D_mixed_covt +[Dataset] cur_step=8017 phase=D_mixed_covt[Dataset] cur_step=8017 phase=D_mixed_covt + +[Dataset] cur_step=8017 phase=D_mixed_covt +[Dataset] cur_step=8017 phase=D_mixed_covt + {'loss': '3.447', 'grad_norm': '4.079', 'learning_rate': '1.613e-06', 'epoch': '0.2884'} + 89%|████████████████████████████▌ | 8017/9000 [7:01:22<47:10, 2.88s/it] {'lm_loss': '0.7056', 'visual_loss': '2.922', 'seg_loss': '0.6919', 'dino_loss': '0.9211', 'depth_loss': '0.2783', 'vggt_mse_loss': '0.276', 'vggt_cos_loss': '0.02293', 'pidinet_loss': '0.2342', 'siglip_loss': '0.7963', 'epoch': '0.2884'} + 89%|████████████████████████████▌ | 8017/9000 [7:01:25<47:10, 2.88s/it][Dataset] cur_step=8018 phase=D_mixed_covt +[Dataset] cur_step=8018 phase=D_mixed_covt +[Dataset] cur_step=8018 phase=D_mixed_covt +[Dataset] cur_step=8018 phase=D_mixed_covt +[Dataset] cur_step=8018 phase=D_mixed_covt +[Dataset] cur_step=8018 phase=D_mixed_covt +[Dataset] cur_step=8018 phase=D_mixed_covt + 89%|████████████████████████████▌ | 8018/9000 [7:01:26<53:07, 3.25s/it][Dataset] cur_step=8018 phase=D_mixed_covt + {'loss': '3.04', 'grad_norm': '2.007', 'learning_rate': '1.61e-06', 'epoch': '0.2884'} + 89%|████████████████████████████▌ | 8018/9000 [7:01:26<53:07, 3.25s/it] {'lm_loss': '0.09208', 'visual_loss': '2.771', 'seg_loss': '0.7087', 'dino_loss': '0.9185', 'depth_loss': '0.3651', 'vggt_mse_loss': '0.363', 'vggt_cos_loss': '0.02065', 'pidinet_loss': '0.203', 'siglip_loss': '0.5759', 'epoch': '0.2884'} + 89%|████████████████████████████▌ | 8018/9000 [7:01:28<53:07, 3.25s/it][Dataset] cur_step=8019 phase=D_mixed_covt +[Dataset] cur_step=8019 phase=D_mixed_covt[Dataset] cur_step=8019 phase=D_mixed_covt[Dataset] cur_step=8019 phase=D_mixed_covt + + +[Dataset] cur_step=8019 phase=D_mixed_covt + 89%|████████████████████████████▌ | 8019/9000 [7:01:28<49:13, 3.01s/it][Dataset] cur_step=8019 phase=D_mixed_covt +[Dataset] cur_step=8019 phase=D_mixed_covt +[Dataset] cur_step=8019 phase=D_mixed_covt + {'loss': '3.426', 'grad_norm': '7.129', 'learning_rate': '1.607e-06', 'epoch': '0.2885'} + 89%|████████████████████████████▌ | 8019/9000 [7:01:28<49:13, 3.01s/it] {'lm_loss': '0.08741', 'visual_loss': '2.457', 'seg_loss': '0.6449', 'dino_loss': '0.9386', 'depth_loss': '0.3147', 'vggt_mse_loss': '0.3123', 'vggt_cos_loss': '0.02382', 'pidinet_loss': '0.2166', 'siglip_loss': '0.342', 'epoch': '0.2885'} + 89%|████████████████████████████▌ | 8019/9000 [7:01:31<49:13, 3.01s/it][Dataset] cur_step=8020 phase=D_mixed_covt +[Dataset] cur_step=8020 phase=D_mixed_covt +[Dataset] cur_step=8020 phase=D_mixed_covt +[Dataset] cur_step=8020 phase=D_mixed_covt + 89%|████████████████████████████▌ | 8020/9000 [7:01:31<47:13, 2.89s/it][Dataset] cur_step=8020 phase=D_mixed_covt +[Dataset] cur_step=8020 phase=D_mixed_covt +[Dataset] cur_step=8020 phase=D_mixed_covt +[Dataset] cur_step=8020 phase=D_mixed_covt + {'loss': '3.354', 'grad_norm': '2.517', 'learning_rate': '1.603e-06', 'epoch': '0.2885'} + 89%|████████████████████████████▌ | 8020/9000 [7:01:31<47:13, 2.89s/it] {'lm_loss': '0.3766', 'visual_loss': '2.768', 'seg_loss': '0.9036', 'dino_loss': '0.9299', 'depth_loss': '0.2315', 'vggt_mse_loss': '0.23', 'vggt_cos_loss': '0.01574', 'pidinet_loss': '0.2344', 'siglip_loss': '0.4687', 'epoch': '0.2885'} + 89%|████████████████████████████▌ | 8020/9000 [7:01:33<47:13, 2.89s/it][Dataset] cur_step=8021 phase=D_mixed_covt +[Dataset] cur_step=8021 phase=D_mixed_covt +[Dataset] cur_step=8021 phase=D_mixed_covt + 89%|████████████████████████████▌ | 8021/9000 [7:01:34<47:39, 2.92s/it][Dataset] cur_step=8021 phase=D_mixed_covt +[Dataset] cur_step=8021 phase=D_mixed_covt +[Dataset] cur_step=8021 phase=D_mixed_covt +[Dataset] cur_step=8021 phase=D_mixed_covt +[Dataset] cur_step=8021 phase=D_mixed_covt + {'loss': '3.11', 'grad_norm': '3.347', 'learning_rate': '1.6e-06', 'epoch': '0.2886'} + 89%|████████████████████████████▌ | 8021/9000 [7:01:34<47:39, 2.92s/it] {'lm_loss': '0.9287', 'visual_loss': '2.621', 'seg_loss': '0.9302', 'dino_loss': '0.9414', 'depth_loss': '0.1148', 'vggt_mse_loss': '0.1139', 'vggt_cos_loss': '0.008652', 'pidinet_loss': '0.1897', 'siglip_loss': '0.4447', 'epoch': '0.2886'} + 89%|████████████████████████████▌ | 8021/9000 [7:01:36<47:39, 2.92s/it][Dataset] cur_step=8022 phase=D_mixed_covt +[Dataset] cur_step=8022 phase=D_mixed_covt +[Dataset] cur_step=8022 phase=D_mixed_covt +[Dataset] cur_step=8022 phase=D_mixed_covt +[Dataset] cur_step=8022 phase=D_mixed_covt[Dataset] cur_step=8022 phase=D_mixed_covt + +[Dataset] cur_step=8022 phase=D_mixed_covt 89%|████████████████████████████▌ | 8022/9000 [7:01:37<45:44, 2.81s/it] +[Dataset] cur_step=8022 phase=D_mixed_covt + {'loss': '3.65', 'grad_norm': '17.18', 'learning_rate': '1.597e-06', 'epoch': '0.2886'} + 89%|████████████████████████████▌ | 8022/9000 [7:01:37<45:44, 2.81s/it] {'lm_loss': '0.8409', 'visual_loss': '3.019', 'seg_loss': '0.8951', 'dino_loss': '0.913', 'depth_loss': '0.2687', 'vggt_mse_loss': '0.2674', 'vggt_cos_loss': '0.01384', 'pidinet_loss': '0.2044', 'siglip_loss': '0.7375', 'epoch': '0.2886'} + 89%|████████████████████████████▌ | 8022/9000 [7:01:38<45:44, 2.81s/it][Dataset] cur_step=8023 phase=D_mixed_covt +[Dataset] cur_step=8023 phase=D_mixed_covt +[Dataset] cur_step=8023 phase=D_mixed_covt +[Dataset] cur_step=8023 phase=D_mixed_covt[Dataset] cur_step=8023 phase=D_mixed_covt +[Dataset] cur_step=8023 phase=D_mixed_covt + + 89%|████████████████████████████▌ | 8023/9000 [7:01:39<44:32, 2.74s/it][Dataset] cur_step=8023 phase=D_mixed_covt +[Dataset] cur_step=8023 phase=D_mixed_covt + {'loss': '3.345', 'grad_norm': '3.513', 'learning_rate': '1.594e-06', 'epoch': '0.2886'} + 89%|████████████████████████████▌ | 8023/9000 [7:01:39<44:32, 2.74s/it] {'lm_loss': '0.924', 'visual_loss': '2.602', 'seg_loss': '0.6534', 'dino_loss': '0.8843', 'depth_loss': '0.2917', 'vggt_mse_loss': '0.29', 'vggt_cos_loss': '0.01676', 'pidinet_loss': '0.2241', 'siglip_loss': '0.5486', 'epoch': '0.2886'} + 89%|████████████████████████████▌ | 8023/9000 [7:01:41<44:32, 2.74s/it][Dataset] cur_step=8024 phase=D_mixed_covt +[Dataset] cur_step=8024 phase=D_mixed_covt +[Dataset] cur_step=8024 phase=D_mixed_covt +[Dataset] cur_step=8024 phase=D_mixed_covt +[Dataset] cur_step=8024 phase=D_mixed_covt + 89%|████████████████████████████▌ | 8024/9000 [7:01:41<40:55, 2.52s/it][Dataset] cur_step=8024 phase=D_mixed_covt +[Dataset] cur_step=8024 phase=D_mixed_covt +[Dataset] cur_step=8024 phase=D_mixed_covt + {'loss': '3.601', 'grad_norm': '4.84', 'learning_rate': '1.59e-06', 'epoch': '0.2887'} + 89%|████████████████████████████▌ | 8024/9000 [7:01:41<40:55, 2.52s/it] {'lm_loss': '0.827', 'visual_loss': '3.266', 'seg_loss': '0.9556', 'dino_loss': '0.9189', 'depth_loss': '0.1593', 'vggt_mse_loss': '0.1582', 'vggt_cos_loss': '0.0114', 'pidinet_loss': '0.2044', 'siglip_loss': '1.028', 'epoch': '0.2887'} + 89%|████████████████████████████▌ | 8024/9000 [7:01:42<40:55, 2.52s/it][Dataset] cur_step=8025 phase=D_mixed_covt +[Dataset] cur_step=8025 phase=D_mixed_covt[Dataset] cur_step=8025 phase=D_mixed_covt + +[Dataset] cur_step=8025 phase=D_mixed_covt + 89%|████████████████████████████▌ | 8025/9000 [7:01:43<37:44, 2.32s/it][Dataset] cur_step=8025 phase=D_mixed_covt +[Dataset] cur_step=8025 phase=D_mixed_covt +[Dataset] cur_step=8025 phase=D_mixed_covt +[Dataset] cur_step=8025 phase=D_mixed_covt + {'loss': '3.077', 'grad_norm': '4.575', 'learning_rate': '1.587e-06', 'epoch': '0.2887'} + 89%|████████████████████████████▌ | 8025/9000 [7:01:43<37:44, 2.32s/it] {'lm_loss': '0.03312', 'visual_loss': '2.427', 'seg_loss': '0.5946', 'dino_loss': '0.8575', 'depth_loss': '0.1471', 'vggt_mse_loss': '0.1462', 'vggt_cos_loss': '0.009705', 'pidinet_loss': '0.2391', 'siglip_loss': '0.5892', 'epoch': '0.2887'} + 89%|████████████████████████████▌ | 8025/9000 [7:01:46<37:44, 2.32s/it][Dataset] cur_step=8026 phase=D_mixed_covt +[Dataset] cur_step=8026 phase=D_mixed_covt +[Dataset] cur_step=8026 phase=D_mixed_covt +[Dataset] cur_step=8026 phase=D_mixed_covt[Dataset] cur_step=8026 phase=D_mixed_covt + + 89%|████████████████████████████▌ | 8026/9000 [7:01:46<41:54, 2.58s/it][Dataset] cur_step=8026 phase=D_mixed_covt[Dataset] cur_step=8026 phase=D_mixed_covt + +[Dataset] cur_step=8026 phase=D_mixed_covt + {'loss': '3.162', 'grad_norm': '1.799', 'learning_rate': '1.584e-06', 'epoch': '0.2887'} + 89%|████████████████████████████▌ | 8026/9000 [7:01:46<41:54, 2.58s/it] {'lm_loss': '0.9516', 'visual_loss': '2.959', 'seg_loss': '0.8614', 'dino_loss': '0.9394', 'depth_loss': '0.4286', 'vggt_mse_loss': '0.4253', 'vggt_cos_loss': '0.03238', 'pidinet_loss': '0.2107', 'siglip_loss': '0.5186', 'epoch': '0.2887'} + 89%|████████████████████████████▌ | 8026/9000 [7:01:48<41:54, 2.58s/it][Dataset] cur_step=8027 phase=D_mixed_covt[Dataset] cur_step=8027 phase=D_mixed_covt + +[Dataset] cur_step=8027 phase=D_mixed_covt +[Dataset] cur_step=8027 phase=D_mixed_covt + 89%|████████████████████████████▌ | 8027/9000 [7:01:49<43:00, 2.65s/it][Dataset] cur_step=8027 phase=D_mixed_covt +[Dataset] cur_step=8027 phase=D_mixed_covt +[Dataset] cur_step=8027 phase=D_mixed_covt +[Dataset] cur_step=8027 phase=D_mixed_covt + {'loss': '3.335', 'grad_norm': '2.549', 'learning_rate': '1.581e-06', 'epoch': '0.2888'} + 89%|████████████████████████████▌ | 8027/9000 [7:01:49<43:00, 2.65s/it] {'lm_loss': '0.4877', 'visual_loss': '2.44', 'seg_loss': '0.6446', 'dino_loss': '0.9036', 'depth_loss': '0.2115', 'vggt_mse_loss': '0.2099', 'vggt_cos_loss': '0.01607', 'pidinet_loss': '0.1937', 'siglip_loss': '0.4862', 'epoch': '0.2888'} + 89%|████████████████████████████▌ | 8027/9000 [7:01:52<43:00, 2.65s/it][Dataset] cur_step=8028 phase=D_mixed_covt +[Dataset] cur_step=8028 phase=D_mixed_covt[Dataset] cur_step=8028 phase=D_mixed_covt + +[Dataset] cur_step=8028 phase=D_mixed_covt[Dataset] cur_step=8028 phase=D_mixed_covt +[Dataset] cur_step=8028 phase=D_mixed_covt + + 89%|████████████████████████████▌ | 8028/9000 [7:01:52<45:43, 2.82s/it][Dataset] cur_step=8028 phase=D_mixed_covt +[Dataset] cur_step=8028 phase=D_mixed_covt + {'loss': '3.284', 'grad_norm': '3.528', 'learning_rate': '1.578e-06', 'epoch': '0.2888'} + 89%|████████████████████████████▌ | 8028/9000 [7:01:52<45:43, 2.82s/it] {'lm_loss': '0.5167', 'visual_loss': '2.709', 'seg_loss': '0.7406', 'dino_loss': '0.8937', 'depth_loss': '0.2204', 'vggt_mse_loss': '0.2185', 'vggt_cos_loss': '0.01887', 'pidinet_loss': '0.2571', 'siglip_loss': '0.5972', 'epoch': '0.2888'} + 89%|████████████████████████████▌ | 8028/9000 [7:01:54<45:43, 2.82s/it][Dataset] cur_step=8029 phase=D_mixed_covt +[Dataset] cur_step=8029 phase=D_mixed_covt +[Dataset] cur_step=8029 phase=D_mixed_covt[Dataset] cur_step=8029 phase=D_mixed_covt + +[Dataset] cur_step=8029 phase=D_mixed_covt +[Dataset] cur_step=8029 phase=D_mixed_covt 89%|████████████████████████████▌ | 8029/9000 [7:01:55<45:31, 2.81s/it] +[Dataset] cur_step=8029 phase=D_mixed_covt +[Dataset] cur_step=8029 phase=D_mixed_covt + {'loss': '3.418', 'grad_norm': '4.47', 'learning_rate': '1.574e-06', 'epoch': '0.2888'} + 89%|████████████████████████████▌ | 8029/9000 [7:01:55<45:31, 2.81s/it] {'lm_loss': '0.8604', 'visual_loss': '0.5486', 'seg_loss': '0.5486', 'dino_loss': '0', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0', 'siglip_loss': '0', 'epoch': '0.2888'} + 89%|████████████████████████████▌ | 8029/9000 [7:01:57<45:31, 2.81s/it][Dataset] cur_step=8030 phase=D_mixed_covt +[Dataset] cur_step=8030 phase=D_mixed_covt +[Dataset] cur_step=8030 phase=D_mixed_covt +[Dataset] cur_step=8030 phase=D_mixed_covt + 89%|████████████████████████████▌ | 8030/9000 [7:01:58<44:37, 2.76s/it][Dataset] cur_step=8030 phase=D_mixed_covt +[Dataset] cur_step=8030 phase=D_mixed_covt +[Dataset] cur_step=8030 phase=D_mixed_covt +[Dataset] cur_step=8030 phase=D_mixed_covt + {'loss': '1.483', 'grad_norm': '4.013', 'learning_rate': '1.571e-06', 'epoch': '0.2889'} + 89%|████████████████████████████▌ | 8030/9000 [7:01:58<44:37, 2.76s/it] {'lm_loss': '0.6922', 'visual_loss': '1.512', 'seg_loss': '0.8287', 'dino_loss': '0', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.1678', 'siglip_loss': '0.5157', 'epoch': '0.2889'} + 89%|████████████████████████████▌ | 8030/9000 [7:01:59<44:37, 2.76s/it][Dataset] cur_step=8031 phase=D_mixed_covt +[Dataset] cur_step=8031 phase=D_mixed_covt +[Dataset] cur_step=8031 phase=D_mixed_covt[Dataset] cur_step=8031 phase=D_mixed_covt + +[Dataset] cur_step=8031 phase=D_mixed_covt +[Dataset] cur_step=8031 phase=D_mixed_covt + 89%|████████████████████████████▌ | 8031/9000 [7:02:00<42:50, 2.65s/it][Dataset] cur_step=8031 phase=D_mixed_covt +[Dataset] cur_step=8031 phase=D_mixed_covt + {'loss': '2.146', 'grad_norm': '16.35', 'learning_rate': '1.568e-06', 'epoch': '0.2889'} + 89%|████████████████████████████▌ | 8031/9000 [7:02:00<42:50, 2.65s/it] {'lm_loss': '0.3669', 'visual_loss': '2.656', 'seg_loss': '0.6577', 'dino_loss': '0.8901', 'depth_loss': '0.1868', 'vggt_mse_loss': '0.1855', 'vggt_cos_loss': '0.01259', 'pidinet_loss': '0.2016', 'siglip_loss': '0.7194', 'epoch': '0.2889'} + 89%|████████████████████████████▌ | 8031/9000 [7:02:03<42:50, 2.65s/it][Dataset] cur_step=8032 phase=D_mixed_covt +[Dataset] cur_step=8032 phase=D_mixed_covt +[Dataset] cur_step=8032 phase=D_mixed_covt + 89%|████████████████████████████▌ | 8032/9000 [7:02:03<45:53, 2.84s/it][Dataset] cur_step=8032 phase=D_mixed_covt[Dataset] cur_step=8032 phase=D_mixed_covt + +[Dataset] cur_step=8032 phase=D_mixed_covt[Dataset] cur_step=8032 phase=D_mixed_covt + +[Dataset] cur_step=8032 phase=D_mixed_covt + {'loss': '3.327', 'grad_norm': '4.067', 'learning_rate': '1.565e-06', 'epoch': '0.289'} + 89%|████████████████████████████▌ | 8032/9000 [7:02:03<45:53, 2.84s/it] {'lm_loss': '0.1015', 'visual_loss': '2.569', 'seg_loss': '0.6211', 'dino_loss': '0.9164', 'depth_loss': '0.248', 'vggt_mse_loss': '0.2462', 'vggt_cos_loss': '0.01781', 'pidinet_loss': '0.2445', 'siglip_loss': '0.5395', 'epoch': '0.289'} + 89%|████████████████████████████▌ | 8032/9000 [7:02:05<45:53, 2.84s/it][Dataset] cur_step=8033 phase=D_mixed_covt +[Dataset] cur_step=8033 phase=D_mixed_covt +[Dataset] cur_step=8033 phase=D_mixed_covt[Dataset] cur_step=8033 phase=D_mixed_covt + + 89%|████████████████████████████▌ | 8033/9000 [7:02:06<44:30, 2.76s/it][Dataset] cur_step=8033 phase=D_mixed_covt +[Dataset] cur_step=8033 phase=D_mixed_covt +[Dataset] cur_step=8033 phase=D_mixed_covt +[Dataset] cur_step=8033 phase=D_mixed_covt + {'loss': '3.389', 'grad_norm': '3.566', 'learning_rate': '1.562e-06', 'epoch': '0.289'} + 89%|████████████████████████████▌ | 8033/9000 [7:02:06<44:30, 2.76s/it] {'lm_loss': '0.5828', 'visual_loss': '2.697', 'seg_loss': '0.8412', 'dino_loss': '0.919', 'depth_loss': '0.1871', 'vggt_mse_loss': '0.1857', 'vggt_cos_loss': '0.01331', 'pidinet_loss': '0.1915', 'siglip_loss': '0.5583', 'epoch': '0.289'} + 89%|████████████████████████████▌ | 8033/9000 [7:02:08<44:30, 2.76s/it][Dataset] cur_step=8034 phase=D_mixed_covt + 89%|████████████████████████████▌ | 8034/9000 [7:02:09<43:52, 2.73s/it][Dataset] cur_step=8034 phase=D_mixed_covt +[Dataset] cur_step=8034 phase=D_mixed_covt[Dataset] cur_step=8034 phase=D_mixed_covt + +[Dataset] cur_step=8034 phase=D_mixed_covt +[Dataset] cur_step=8034 phase=D_mixed_covt +[Dataset] cur_step=8034 phase=D_mixed_covt +[Dataset] cur_step=8034 phase=D_mixed_covt + {'loss': '3.412', 'grad_norm': '2.442', 'learning_rate': '1.558e-06', 'epoch': '0.289'} + 89%|████████████████████████████▌ | 8034/9000 [7:02:09<43:52, 2.73s/it] {'lm_loss': '0.7317', 'visual_loss': '2.853', 'seg_loss': '0.8003', 'dino_loss': '0.8663', 'depth_loss': '0.2516', 'vggt_mse_loss': '0.2498', 'vggt_cos_loss': '0.01847', 'pidinet_loss': '0.2207', 'siglip_loss': '0.7144', 'epoch': '0.289'} + 89%|████████████████████████████▌ | 8034/9000 [7:02:10<43:52, 2.73s/it][Dataset] cur_step=8035 phase=D_mixed_covt[Dataset] cur_step=8035 phase=D_mixed_covt +[Dataset] cur_step=8035 phase=D_mixed_covt + +[Dataset] cur_step=8035 phase=D_mixed_covt + 89%|████████████████████████████▌ | 8035/9000 [7:02:11<41:01, 2.55s/it][Dataset] cur_step=8035 phase=D_mixed_covt[Dataset] cur_step=8035 phase=D_mixed_covt +[Dataset] cur_step=8035 phase=D_mixed_covt + +[Dataset] cur_step=8035 phase=D_mixed_covt + {'loss': '3.364', 'grad_norm': '5.034', 'learning_rate': '1.555e-06', 'epoch': '0.2891'} + 89%|████████████████████████████▌ | 8035/9000 [7:02:11<41:01, 2.55s/it] {'lm_loss': '0.705', 'visual_loss': '0.7961', 'seg_loss': '0', 'dino_loss': '0', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.228', 'siglip_loss': '0.5681', 'epoch': '0.2891'} + 89%|████████████████████████████▌ | 8035/9000 [7:02:11<41:01, 2.55s/it][Dataset] cur_step=8036 phase=D_mixed_covt +[Dataset] cur_step=8036 phase=D_mixed_covt +[Dataset] cur_step=8036 phase=D_mixed_covt + 89%|████████████████████████████▌ | 8036/9000 [7:02:12<34:12, 2.13s/it][Dataset] cur_step=8036 phase=D_mixed_covt[Dataset] cur_step=8036 phase=D_mixed_covt + +[Dataset] cur_step=8036 phase=D_mixed_covt +[Dataset] cur_step=8036 phase=D_mixed_covt[Dataset] cur_step=8036 phase=D_mixed_covt + + {'loss': '1.467', 'grad_norm': '5.749', 'learning_rate': '1.552e-06', 'epoch': '0.2891'} + 89%|████████████████████████████▌ | 8036/9000 [7:02:12<34:12, 2.13s/it] {'lm_loss': '0.7069', 'visual_loss': '2.837', 'seg_loss': '0.7375', 'dino_loss': '0.9389', 'depth_loss': '0.3304', 'vggt_mse_loss': '0.3284', 'vggt_cos_loss': '0.02035', 'pidinet_loss': '0.1674', 'siglip_loss': '0.6624', 'epoch': '0.2891'} + 89%|████████████████████████████▌ | 8036/9000 [7:02:14<34:12, 2.13s/it][Dataset] cur_step=8037 phase=D_mixed_covt +[Dataset] cur_step=8037 phase=D_mixed_covt[Dataset] cur_step=8037 phase=D_mixed_covt + +[Dataset] cur_step=8037 phase=D_mixed_covt[Dataset] cur_step=8037 phase=D_mixed_covt[Dataset] cur_step=8037 phase=D_mixed_covt + + +[Dataset] cur_step=8037 phase=D_mixed_covt +[Dataset] cur_step=8037 phase=D_mixed_covt + 89%|████████████████████████████▌ | 8037/9000 [7:02:15<37:00, 2.31s/it] {'loss': '3.338', 'grad_norm': '2.656', 'learning_rate': '1.549e-06', 'epoch': '0.2891'} + 89%|████████████████████████████▌ | 8037/9000 [7:02:15<37:00, 2.31s/it] {'lm_loss': '0.0883', 'visual_loss': '2.017', 'seg_loss': '0.3945', 'dino_loss': '0.9574', 'depth_loss': '0.1579', 'vggt_mse_loss': '0.1573', 'vggt_cos_loss': '0.00529', 'pidinet_loss': '0.2072', 'siglip_loss': '0.3004', 'epoch': '0.2891'} + 89%|████████████████████████████▌ | 8037/9000 [7:02:16<37:00, 2.31s/it][Dataset] cur_step=8038 phase=D_mixed_covt +[Dataset] cur_step=8038 phase=D_mixed_covt +[Dataset] cur_step=8038 phase=D_mixed_covt[Dataset] cur_step=8038 phase=D_mixed_covt +[Dataset] cur_step=8038 phase=D_mixed_covt + + 89%|████████████████████████████▌ | 8038/9000 [7:02:16<34:38, 2.16s/it][Dataset] cur_step=8038 phase=D_mixed_covt +[Dataset] cur_step=8038 phase=D_mixed_covt +[Dataset] cur_step=8038 phase=D_mixed_covt + {'loss': '3.324', 'grad_norm': '7.224', 'learning_rate': '1.546e-06', 'epoch': '0.2892'} + 89%|████████████████████████████▌ | 8038/9000 [7:02:16<34:38, 2.16s/it] {'lm_loss': '0.04762', 'visual_loss': '2.803', 'seg_loss': '0.8365', 'dino_loss': '0.9255', 'depth_loss': '0.3246', 'vggt_mse_loss': '0.3221', 'vggt_cos_loss': '0.02447', 'pidinet_loss': '0.1942', 'siglip_loss': '0.5224', 'epoch': '0.2892'} + 89%|████████████████████████████▌ | 8038/9000 [7:02:18<34:38, 2.16s/it][Dataset] cur_step=8039 phase=D_mixed_covt +[Dataset] cur_step=8039 phase=D_mixed_covt +[Dataset] cur_step=8039 phase=D_mixed_covt +[Dataset] cur_step=8039 phase=D_mixed_covt +[Dataset] cur_step=8039 phase=D_mixed_covt + 89%|████████████████████████████▌ | 8039/9000 [7:02:19<36:13, 2.26s/it][Dataset] cur_step=8039 phase=D_mixed_covt +[Dataset] cur_step=8039 phase=D_mixed_covt +[Dataset] cur_step=8039 phase=D_mixed_covt + {'loss': '3.21', 'grad_norm': '18.1', 'learning_rate': '1.542e-06', 'epoch': '0.2892'} + 89%|████████████████████████████▌ | 8039/9000 [7:02:19<36:13, 2.26s/it] {'lm_loss': '1.322', 'visual_loss': '2.541', 'seg_loss': '0.7045', 'dino_loss': '0.8596', 'depth_loss': '0.1902', 'vggt_mse_loss': '0.189', 'vggt_cos_loss': '0.0118', 'pidinet_loss': '0.1833', 'siglip_loss': '0.6035', 'epoch': '0.2892'} + 89%|████████████████████████████▌ | 8039/9000 [7:02:20<36:13, 2.26s/it][Dataset] cur_step=8040 phase=D_mixed_covt +[Dataset] cur_step=8040 phase=D_mixed_covt[Dataset] cur_step=8040 phase=D_mixed_covt + +[Dataset] cur_step=8040 phase=D_mixed_covt 89%|████████████████████████████▌ | 8040/9000 [7:02:21<36:16, 2.27s/it] +[Dataset] cur_step=8040 phase=D_mixed_covt[Dataset] cur_step=8040 phase=D_mixed_covt + +[Dataset] cur_step=8040 phase=D_mixed_covt +[Dataset] cur_step=8040 phase=D_mixed_covt + {'loss': '3.122', 'grad_norm': '5.52', 'learning_rate': '1.539e-06', 'epoch': '0.2892'} + 89%|████████████████████████████▌ | 8040/9000 [7:02:21<36:16, 2.27s/it] {'lm_loss': '1.108', 'visual_loss': '2.475', 'seg_loss': '0.6903', 'dino_loss': '0.9164', 'depth_loss': '0.1524', 'vggt_mse_loss': '0.1515', 'vggt_cos_loss': '0.009549', 'pidinet_loss': '0.2427', 'siglip_loss': '0.4734', 'epoch': '0.2892'} + 89%|████████████████████████████▌ | 8040/9000 [7:02:23<36:16, 2.27s/it][Dataset] cur_step=8041 phase=D_mixed_covt +[Dataset] cur_step=8041 phase=D_mixed_covt +[Dataset] cur_step=8041 phase=D_mixed_covt +[Dataset] cur_step=8041 phase=D_mixed_covt +[Dataset] cur_step=8041 phase=D_mixed_covt +[Dataset] cur_step=8041 phase=D_mixed_covt +[Dataset] cur_step=8041 phase=D_mixed_covt +[Dataset] cur_step=8041 phase=D_mixed_covt + 89%|████████████████████████████▌ | 8041/9000 [7:02:23<35:07, 2.20s/it] {'loss': '3.369', 'grad_norm': '4.159', 'learning_rate': '1.536e-06', 'epoch': '0.2893'} + 89%|████████████████████████████▌ | 8041/9000 [7:02:23<35:07, 2.20s/it] {'lm_loss': '0.3848', 'visual_loss': '2.706', 'seg_loss': '0.7922', 'dino_loss': '0.9272', 'depth_loss': '0.346', 'vggt_mse_loss': '0.3434', 'vggt_cos_loss': '0.0267', 'pidinet_loss': '0.2286', 'siglip_loss': '0.4121', 'epoch': '0.2893'} + 89%|████████████████████████████▌ | 8041/9000 [7:02:25<35:07, 2.20s/it][Dataset] cur_step=8042 phase=D_mixed_covt +[Dataset] cur_step=8042 phase=D_mixed_covt +[Dataset] cur_step=8042 phase=D_mixed_covt +[Dataset] cur_step=8042 phase=D_mixed_covt +[Dataset] cur_step=8042 phase=D_mixed_covt +[Dataset] cur_step=8042 phase=D_mixed_covt +[Dataset] cur_step=8042 phase=D_mixed_covt + 89%|████████████████████████████▌ | 8042/9000 [7:02:27<40:48, 2.56s/it][Dataset] cur_step=8042 phase=D_mixed_covt + {'loss': '3.226', 'grad_norm': '3.359', 'learning_rate': '1.533e-06', 'epoch': '0.2893'} + 89%|████████████████████████████▌ | 8042/9000 [7:02:27<40:48, 2.56s/it] {'lm_loss': '0.3719', 'visual_loss': '2.565', 'seg_loss': '0.4395', 'dino_loss': '0.8763', 'depth_loss': '0.1853', 'vggt_mse_loss': '0.1843', 'vggt_cos_loss': '0.01047', 'pidinet_loss': '0.1516', 'siglip_loss': '0.9128', 'epoch': '0.2893'} + 89%|████████████████████████████▌ | 8042/9000 [7:02:28<40:48, 2.56s/it][Dataset] cur_step=8043 phase=D_mixed_covt +[Dataset] cur_step=8043 phase=D_mixed_covt +[Dataset] cur_step=8043 phase=D_mixed_covt +[Dataset] cur_step=8043 phase=D_mixed_covt +[Dataset] cur_step=8043 phase=D_mixed_covt + 89%|████████████████████████████▌ | 8043/9000 [7:02:29<39:24, 2.47s/it][Dataset] cur_step=8043 phase=D_mixed_covt +[Dataset] cur_step=8043 phase=D_mixed_covt +[Dataset] cur_step=8043 phase=D_mixed_covt + {'loss': '3.585', 'grad_norm': '2.98', 'learning_rate': '1.53e-06', 'epoch': '0.2893'} + 89%|████████████████████████████▌ | 8043/9000 [7:02:29<39:24, 2.47s/it] {'lm_loss': '1.105', 'visual_loss': '2.557', 'seg_loss': '0.6368', 'dino_loss': '0.8937', 'depth_loss': '0.1551', 'vggt_mse_loss': '0.1542', 'vggt_cos_loss': '0.008421', 'pidinet_loss': '0.2639', 'siglip_loss': '0.6077', 'epoch': '0.2893'} + 89%|████████████████████████████▌ | 8043/9000 [7:02:31<39:24, 2.47s/it][Dataset] cur_step=8044 phase=D_mixed_covt +[Dataset] cur_step=8044 phase=D_mixed_covt +[Dataset] cur_step=8044 phase=D_mixed_covt +[Dataset] cur_step=8044 phase=D_mixed_covt 89%|████████████████████████████▌ | 8044/9000 [7:02:32<40:35, 2.55s/it] +[Dataset] cur_step=8044 phase=D_mixed_covt[Dataset] cur_step=8044 phase=D_mixed_covt + +[Dataset] cur_step=8044 phase=D_mixed_covt +[Dataset] cur_step=8044 phase=D_mixed_covt + {'loss': '3.524', 'grad_norm': '8.604', 'learning_rate': '1.527e-06', 'epoch': '0.2894'} + 89%|████████████████████████████▌ | 8044/9000 [7:02:32<40:35, 2.55s/it] {'lm_loss': '0.1228', 'visual_loss': '2.16', 'seg_loss': '0.7352', 'dino_loss': '0.9428', 'depth_loss': '0.2232', 'vggt_mse_loss': '0.2214', 'vggt_cos_loss': '0.01802', 'pidinet_loss': '0.2589', 'siglip_loss': '0', 'epoch': '0.2894'} + 89%|████████████████████████████▌ | 8044/9000 [7:02:34<40:35, 2.55s/it][Dataset] cur_step=8045 phase=D_mixed_covt +[Dataset] cur_step=8045 phase=D_mixed_covt[Dataset] cur_step=8045 phase=D_mixed_covt +[Dataset] cur_step=8045 phase=D_mixed_covt + + 89%|████████████████████████████▌ | 8045/9000 [7:02:34<41:20, 2.60s/it][Dataset] cur_step=8045 phase=D_mixed_covt +[Dataset] cur_step=8045 phase=D_mixed_covt[Dataset] cur_step=8045 phase=D_mixed_covt + +[Dataset] cur_step=8045 phase=D_mixed_covt + {'loss': '2.552', 'grad_norm': '2.386', 'learning_rate': '1.523e-06', 'epoch': '0.2894'} + 89%|████████████████████████████▌ | 8045/9000 [7:02:34<41:20, 2.60s/it] {'lm_loss': '0.5472', 'visual_loss': '2.29', 'seg_loss': '0.6911', 'dino_loss': '0.9402', 'depth_loss': '0.2046', 'vggt_mse_loss': '0.2033', 'vggt_cos_loss': '0.01275', 'pidinet_loss': '0.1478', 'siglip_loss': '0.3058', 'epoch': '0.2894'} + 89%|████████████████████████████▌ | 8045/9000 [7:02:38<41:20, 2.60s/it][Dataset] cur_step=8046 phase=D_mixed_covt +[Dataset] cur_step=8046 phase=D_mixed_covt +[Dataset] cur_step=8046 phase=D_mixed_covt[Dataset] cur_step=8046 phase=D_mixed_covt +[Dataset] cur_step=8046 phase=D_mixed_covt + + 89%|██████████████████████████▊ | 8046/9000 [7:02:41<1:01:22, 3.86s/it][Dataset] cur_step=8046 phase=D_mixed_covt[Dataset] cur_step=8046 phase=D_mixed_covt + +[Dataset] cur_step=8046 phase=D_mixed_covt + {'loss': '3.274', 'grad_norm': '2.634', 'learning_rate': '1.52e-06', 'epoch': '0.2895'} + 89%|██████████████████████████▊ | 8046/9000 [7:02:41<1:01:22, 3.86s/it] {'lm_loss': '2.307', 'visual_loss': '2.518', 'seg_loss': '0.6632', 'dino_loss': '0.9603', 'depth_loss': '0.192', 'vggt_mse_loss': '0.1903', 'vggt_cos_loss': '0.01678', 'pidinet_loss': '0.2001', 'siglip_loss': '0.5021', 'epoch': '0.2895'} + 89%|██████████████████████████▊ | 8046/9000 [7:02:46<1:01:22, 3.86s/it][Dataset] cur_step=8047 phase=D_mixed_covt + 89%|██████████████████████████▊ | 8047/9000 [7:02:46<1:08:46, 4.33s/it][Dataset] cur_step=8047 phase=D_mixed_covt +[Dataset] cur_step=8047 phase=D_mixed_covt +[Dataset] cur_step=8047 phase=D_mixed_covt[Dataset] cur_step=8047 phase=D_mixed_covt + +[Dataset] cur_step=8047 phase=D_mixed_covt +[Dataset] cur_step=8047 phase=D_mixed_covt[Dataset] cur_step=8047 phase=D_mixed_covt + + {'loss': '3.662', 'grad_norm': '2.088', 'learning_rate': '1.517e-06', 'epoch': '0.2895'} + 89%|██████████████████████████▊ | 8047/9000 [7:02:46<1:08:46, 4.33s/it] {'lm_loss': '0.608', 'visual_loss': '2.223', 'seg_loss': '0.647', 'dino_loss': '0.8993', 'depth_loss': '0.1598', 'vggt_mse_loss': '0.159', 'vggt_cos_loss': '0.008068', 'pidinet_loss': '0.1585', 'siglip_loss': '0.3586', 'epoch': '0.2895'} + 89%|██████████████████████████▊ | 8047/9000 [7:02:49<1:08:46, 4.33s/it][Dataset] cur_step=8048 phase=D_mixed_covt[Dataset] cur_step=8048 phase=D_mixed_covt + +[Dataset] cur_step=8048 phase=D_mixed_covt +[Dataset] cur_step=8048 phase=D_mixed_covt + 89%|██████████████████████████▊ | 8048/9000 [7:02:50<1:04:13, 4.05s/it][Dataset] cur_step=8048 phase=D_mixed_covt +[Dataset] cur_step=8048 phase=D_mixed_covt +[Dataset] cur_step=8048 phase=D_mixed_covt +[Dataset] cur_step=8048 phase=D_mixed_covt + {'loss': '3.005', 'grad_norm': '2.04', 'learning_rate': '1.514e-06', 'epoch': '0.2895'} + 89%|██████████████████████████▊ | 8048/9000 [7:02:50<1:04:13, 4.05s/it] {'lm_loss': '0.7868', 'visual_loss': '2.799', 'seg_loss': '0.773', 'dino_loss': '0.9317', 'depth_loss': '0.3156', 'vggt_mse_loss': '0.3135', 'vggt_cos_loss': '0.02066', 'pidinet_loss': '0.2399', 'siglip_loss': '0.5388', 'epoch': '0.2895'} + 89%|██████████████████████████▊ | 8048/9000 [7:02:52<1:04:13, 4.05s/it][Dataset] cur_step=8049 phase=D_mixed_covt +[Dataset] cur_step=8049 phase=D_mixed_covt +[Dataset] cur_step=8049 phase=D_mixed_covt +[Dataset] cur_step=8049 phase=D_mixed_covt[Dataset] cur_step=8049 phase=D_mixed_covt + + 89%|████████████████████████████▌ | 8049/9000 [7:02:53<59:23, 3.75s/it][Dataset] cur_step=8049 phase=D_mixed_covt +[Dataset] cur_step=8049 phase=D_mixed_covt +[Dataset] cur_step=8049 phase=D_mixed_covt + {'loss': '3.27', 'grad_norm': '6.329', 'learning_rate': '1.511e-06', 'epoch': '0.2896'} + 89%|████████████████████████████▌ | 8049/9000 [7:02:53<59:23, 3.75s/it] {'lm_loss': '0.06762', 'visual_loss': '2.916', 'seg_loss': '1.026', 'dino_loss': '0.9123', 'depth_loss': '0.1919', 'vggt_mse_loss': '0.1909', 'vggt_cos_loss': '0.01054', 'pidinet_loss': '0.1981', 'siglip_loss': '0.5882', 'epoch': '0.2896'} + 89%|████████████████████████████▌ | 8049/9000 [7:02:54<59:23, 3.75s/it][Dataset] cur_step=8050 phase=D_mixed_covt +[Dataset] cur_step=8050 phase=D_mixed_covt[Dataset] cur_step=8050 phase=D_mixed_covt + +[Dataset] cur_step=8050 phase=D_mixed_covt +[Dataset] cur_step=8050 phase=D_mixed_covt +[Dataset] cur_step=8050 phase=D_mixed_covt +[Dataset] cur_step=8050 phase=D_mixed_covt +[Dataset] cur_step=8050 phase=D_mixed_covt + 89%|████████████████████████████▌ | 8050/9000 [7:02:55<50:06, 3.16s/it] {'loss': '3.189', 'grad_norm': '2.916', 'learning_rate': '1.508e-06', 'epoch': '0.2896'} + 89%|████████████████████████████▌ | 8050/9000 [7:02:55<50:06, 3.16s/it] {'lm_loss': '1.657', 'visual_loss': '2.452', 'seg_loss': '0.7387', 'dino_loss': '0.9541', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2216', 'siglip_loss': '0.5379', 'epoch': '0.2896'} + 89%|████████████████████████████▌ | 8050/9000 [7:02:57<50:06, 3.16s/it][Dataset] cur_step=8051 phase=D_mixed_covt +[Dataset] cur_step=8051 phase=D_mixed_covt +[Dataset] cur_step=8051 phase=D_mixed_covt +[Dataset] cur_step=8051 phase=D_mixed_covt +[Dataset] cur_step=8051 phase=D_mixed_covt +[Dataset] cur_step=8051 phase=D_mixed_covt +[Dataset] cur_step=8051 phase=D_mixed_covt + 89%|████████████████████████████▋ | 8051/9000 [7:02:58<51:31, 3.26s/it][Dataset] cur_step=8051 phase=D_mixed_covt + {'loss': '2.879', 'grad_norm': '2.538', 'learning_rate': '1.505e-06', 'epoch': '0.2896'} + 89%|████████████████████████████▋ | 8051/9000 [7:02:58<51:31, 3.26s/it] {'lm_loss': '0.4968', 'visual_loss': '0.9149', 'seg_loss': '0', 'dino_loss': '0', 'depth_loss': '0.246', 'vggt_mse_loss': '0.244', 'vggt_cos_loss': '0.01987', 'pidinet_loss': '0.2768', 'siglip_loss': '0.3922', 'epoch': '0.2896'} + 89%|████████████████████████████▋ | 8051/9000 [7:02:59<51:31, 3.26s/it][Dataset] cur_step=8052 phase=D_mixed_covt +[Dataset] cur_step=8052 phase=D_mixed_covt +[Dataset] cur_step=8052 phase=D_mixed_covt +[Dataset] cur_step=8052 phase=D_mixed_covt +[Dataset] cur_step=8052 phase=D_mixed_covt +[Dataset] cur_step=8052 phase=D_mixed_covt +[Dataset] cur_step=8052 phase=D_mixed_covt +[Dataset] cur_step=8052 phase=D_mixed_covt + 89%|████████████████████████████▋ | 8052/9000 [7:02:59<41:44, 2.64s/it] {'loss': '1.695', 'grad_norm': '4.694', 'learning_rate': '1.501e-06', 'epoch': '0.2897'} + 89%|████████████████████████████▋ | 8052/9000 [7:02:59<41:44, 2.64s/it] {'lm_loss': '0.9244', 'visual_loss': '2.811', 'seg_loss': '0.8189', 'dino_loss': '0.8644', 'depth_loss': '0.2433', 'vggt_mse_loss': '0.2419', 'vggt_cos_loss': '0.01446', 'pidinet_loss': '0.2417', 'siglip_loss': '0.6422', 'epoch': '0.2897'} + 89%|████████████████████████████▋ | 8052/9000 [7:03:02<41:44, 2.64s/it][Dataset] cur_step=8053 phase=D_mixed_covt +[Dataset] cur_step=8053 phase=D_mixed_covt +[Dataset] cur_step=8053 phase=D_mixed_covt +[Dataset] cur_step=8053 phase=D_mixed_covt +[Dataset] cur_step=8053 phase=D_mixed_covt +[Dataset] cur_step=8053 phase=D_mixed_covt[Dataset] cur_step=8053 phase=D_mixed_covt + + 89%|████████████████████████████▋ | 8053/9000 [7:03:05<57:12, 3.62s/it][Dataset] cur_step=8053 phase=D_mixed_covt + {'loss': '3.402', 'grad_norm': '1.977', 'learning_rate': '1.498e-06', 'epoch': '0.2897'} + 89%|████████████████████████████▋ | 8053/9000 [7:03:05<57:12, 3.62s/it] {'lm_loss': '0.5451', 'visual_loss': '2.341', 'seg_loss': '0.6265', 'dino_loss': '0.8352', 'depth_loss': '0.1877', 'vggt_mse_loss': '0.1866', 'vggt_cos_loss': '0.01102', 'pidinet_loss': '0.2164', 'siglip_loss': '0.4749', 'epoch': '0.2897'} + 89%|████████████████████████████▋ | 8053/9000 [7:03:08<57:12, 3.62s/it][Dataset] cur_step=8054 phase=D_mixed_covt +[Dataset] cur_step=8054 phase=D_mixed_covt[Dataset] cur_step=8054 phase=D_mixed_covt + + 89%|████████████████████████████▋ | 8054/9000 [7:03:08<54:53, 3.48s/it][Dataset] cur_step=8054 phase=D_mixed_covt +[Dataset] cur_step=8054 phase=D_mixed_covt[Dataset] cur_step=8054 phase=D_mixed_covt + +[Dataset] cur_step=8054 phase=D_mixed_covt +[Dataset] cur_step=8054 phase=D_mixed_covt + {'loss': '3.032', 'grad_norm': '3.441', 'learning_rate': '1.495e-06', 'epoch': '0.2897'} + 89%|████████████████████████████▋ | 8054/9000 [7:03:08<54:53, 3.48s/it] {'lm_loss': '0.6602', 'visual_loss': '2.627', 'seg_loss': '0.658', 'dino_loss': '0.9491', 'depth_loss': '0.27', 'vggt_mse_loss': '0.2678', 'vggt_cos_loss': '0.02188', 'pidinet_loss': '0.2669', 'siglip_loss': '0.4834', 'epoch': '0.2897'} + 89%|████████████████████████████▋ | 8054/9000 [7:03:11<54:53, 3.48s/it][Dataset] cur_step=8055 phase=D_mixed_covt +[Dataset] cur_step=8055 phase=D_mixed_covt +[Dataset] cur_step=8055 phase=D_mixed_covt[Dataset] cur_step=8055 phase=D_mixed_covt[Dataset] cur_step=8055 phase=D_mixed_covt + + + 90%|████████████████████████████▋ | 8055/9000 [7:03:11<51:43, 3.28s/it][Dataset] cur_step=8055 phase=D_mixed_covt +[Dataset] cur_step=8055 phase=D_mixed_covt +[Dataset] cur_step=8055 phase=D_mixed_covt + {'loss': '3.125', 'grad_norm': '2.985', 'learning_rate': '1.492e-06', 'epoch': '0.2898'} + 90%|████████████████████████████▋ | 8055/9000 [7:03:11<51:43, 3.28s/it] {'lm_loss': '0.8768', 'visual_loss': '2.484', 'seg_loss': '0.7159', 'dino_loss': '0.8524', 'depth_loss': '0.1789', 'vggt_mse_loss': '0.1775', 'vggt_cos_loss': '0.01361', 'pidinet_loss': '0.2222', 'siglip_loss': '0.5151', 'epoch': '0.2898'} + 90%|████████████████████████████▋ | 8055/9000 [7:03:14<51:43, 3.28s/it][Dataset] cur_step=8056 phase=D_mixed_covt +[Dataset] cur_step=8056 phase=D_mixed_covt[Dataset] cur_step=8056 phase=D_mixed_covt + +[Dataset] cur_step=8056 phase=D_mixed_covt +[Dataset] cur_step=8056 phase=D_mixed_covt +[Dataset] cur_step=8056 phase=D_mixed_covt[Dataset] cur_step=8056 phase=D_mixed_covt + +[Dataset] cur_step=8056 phase=D_mixed_covt + 90%|████████████████████████████▋ | 8056/9000 [7:03:15<53:07, 3.38s/it] {'loss': '3.225', 'grad_norm': '4.182', 'learning_rate': '1.489e-06', 'epoch': '0.2898'} + 90%|████████████████████████████▋ | 8056/9000 [7:03:15<53:07, 3.38s/it] {'lm_loss': '0.05029', 'visual_loss': '2.803', 'seg_loss': '0.8025', 'dino_loss': '0.927', 'depth_loss': '0.243', 'vggt_mse_loss': '0.2414', 'vggt_cos_loss': '0.01601', 'pidinet_loss': '0.2507', 'siglip_loss': '0.5793', 'epoch': '0.2898'} + 90%|████████████████████████████▋ | 8056/9000 [7:03:17<53:07, 3.38s/it][Dataset] cur_step=8057 phase=D_mixed_covt +[Dataset] cur_step=8057 phase=D_mixed_covt +[Dataset] cur_step=8057 phase=D_mixed_covt +[Dataset] cur_step=8057 phase=D_mixed_covt +[Dataset] cur_step=8057 phase=D_mixed_covt +[Dataset] cur_step=8057 phase=D_mixed_covt +[Dataset] cur_step=8057 phase=D_mixed_covt +[Dataset] cur_step=8057 phase=D_mixed_covt + 90%|████████████████████████████▋ | 8057/9000 [7:03:18<51:15, 3.26s/it] {'loss': '3.284', 'grad_norm': '3.427', 'learning_rate': '1.486e-06', 'epoch': '0.2899'} + 90%|████████████████████████████▋ | 8057/9000 [7:03:18<51:15, 3.26s/it] {'lm_loss': '0.9731', 'visual_loss': '2.504', 'seg_loss': '0.8816', 'dino_loss': '0.8953', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.3253', 'siglip_loss': '0.4017', 'epoch': '0.2899'} + 90%|████████████████████████████▋ | 8057/9000 [7:03:19<51:15, 3.26s/it][Dataset] cur_step=8058 phase=D_mixed_covt +[Dataset] cur_step=8058 phase=D_mixed_covt +[Dataset] cur_step=8058 phase=D_mixed_covt +[Dataset] cur_step=8058 phase=D_mixed_covt +[Dataset] cur_step=8058 phase=D_mixed_covt +[Dataset] cur_step=8058 phase=D_mixed_covt +[Dataset] cur_step=8058 phase=D_mixed_covt[Dataset] cur_step=8058 phase=D_mixed_covt + + 90%|████████████████████████████▋ | 8058/9000 [7:03:20<44:00, 2.80s/it] {'loss': '3.147', 'grad_norm': '3.941', 'learning_rate': '1.483e-06', 'epoch': '0.2899'} + 90%|████████████████████████████▋ | 8058/9000 [7:03:20<44:00, 2.80s/it] {'lm_loss': '0.04697', 'visual_loss': '2.628', 'seg_loss': '0.759', 'dino_loss': '0.9089', 'depth_loss': '0.1897', 'vggt_mse_loss': '0.1882', 'vggt_cos_loss': '0.01457', 'pidinet_loss': '0.2952', 'siglip_loss': '0.4751', 'epoch': '0.2899'} + 90%|████████████████████████████▋ | 8058/9000 [7:03:23<44:00, 2.80s/it][Dataset] cur_step=8059 phase=D_mixed_covt +[Dataset] cur_step=8059 phase=D_mixed_covt +[Dataset] cur_step=8059 phase=D_mixed_covt +[Dataset] cur_step=8059 phase=D_mixed_covt[Dataset] cur_step=8059 phase=D_mixed_covt + +[Dataset] cur_step=8059 phase=D_mixed_covt +[Dataset] cur_step=8059 phase=D_mixed_covt[Dataset] cur_step=8059 phase=D_mixed_covt + + 90%|████████████████████████████▋ | 8059/9000 [7:03:24<51:04, 3.26s/it] {'loss': '3.26', 'grad_norm': '7.291', 'learning_rate': '1.48e-06', 'epoch': '0.2899'} + 90%|████████████████████████████▋ | 8059/9000 [7:03:24<51:04, 3.26s/it] {'lm_loss': '0.0981', 'visual_loss': '2.563', 'seg_loss': '0.758', 'dino_loss': '0.9166', 'depth_loss': '0.1683', 'vggt_mse_loss': '0.1669', 'vggt_cos_loss': '0.0143', 'pidinet_loss': '0.3263', 'siglip_loss': '0.3935', 'epoch': '0.2899'} + 90%|████████████████████████████▋ | 8059/9000 [7:03:26<51:04, 3.26s/it][Dataset] cur_step=8060 phase=D_mixed_covt +[Dataset] cur_step=8060 phase=D_mixed_covt +[Dataset] cur_step=8060 phase=D_mixed_covt +[Dataset] cur_step=8060 phase=D_mixed_covt +[Dataset] cur_step=8060 phase=D_mixed_covt +[Dataset] cur_step=8060 phase=D_mixed_covt +[Dataset] cur_step=8060 phase=D_mixed_covt +[Dataset] cur_step=8060 phase=D_mixed_covt + 90%|████████████████████████████▋ | 8060/9000 [7:03:27<48:09, 3.07s/it] {'loss': '3.327', 'grad_norm': '3.904', 'learning_rate': '1.476e-06', 'epoch': '0.29'} + 90%|████████████████████████████▋ | 8060/9000 [7:03:27<48:09, 3.07s/it] {'lm_loss': '0.8015', 'visual_loss': '2.825', 'seg_loss': '0.7173', 'dino_loss': '0.8845', 'depth_loss': '0.1746', 'vggt_mse_loss': '0.1733', 'vggt_cos_loss': '0.01255', 'pidinet_loss': '0.3207', 'siglip_loss': '0.7282', 'epoch': '0.29'} + 90%|████████████████████████████▋ | 8060/9000 [7:03:28<48:09, 3.07s/it][Dataset] cur_step=8061 phase=D_mixed_covt +[Dataset] cur_step=8061 phase=D_mixed_covt[Dataset] cur_step=8061 phase=D_mixed_covt + +[Dataset] cur_step=8061 phase=D_mixed_covt +[Dataset] cur_step=8061 phase=D_mixed_covt +[Dataset] cur_step=8061 phase=D_mixed_covt[Dataset] cur_step=8061 phase=D_mixed_covt + + 90%|████████████████████████████▋ | 8061/9000 [7:03:31<53:40, 3.43s/it][Dataset] cur_step=8061 phase=D_mixed_covt + {'loss': '3.265', 'grad_norm': '4.296', 'learning_rate': '1.473e-06', 'epoch': '0.29'} + 90%|████████████████████████████▋ | 8061/9000 [7:03:31<53:40, 3.43s/it] {'lm_loss': '0.908', 'visual_loss': '2.949', 'seg_loss': '0.8489', 'dino_loss': '0.9346', 'depth_loss': '0.2637', 'vggt_mse_loss': '0.2619', 'vggt_cos_loss': '0.01762', 'pidinet_loss': '0.2822', 'siglip_loss': '0.6193', 'epoch': '0.29'} + 90%|████████████████████████████▋ | 8061/9000 [7:03:34<53:40, 3.43s/it][Dataset] cur_step=8062 phase=D_mixed_covt[Dataset] cur_step=8062 phase=D_mixed_covt + +[Dataset] cur_step=8062 phase=D_mixed_covt +[Dataset] cur_step=8062 phase=D_mixed_covt +[Dataset] cur_step=8062 phase=D_mixed_covt +[Dataset] cur_step=8062 phase=D_mixed_covt[Dataset] cur_step=8062 phase=D_mixed_covt + + 90%|████████████████████████████▋ | 8062/9000 [7:03:35<56:01, 3.58s/it][Dataset] cur_step=8062 phase=D_mixed_covt + {'loss': '3.208', 'grad_norm': '18.61', 'learning_rate': '1.47e-06', 'epoch': '0.29'} + 90%|████████████████████████████▋ | 8062/9000 [7:03:35<56:01, 3.58s/it] {'lm_loss': '0.05292', 'visual_loss': '2.83', 'seg_loss': '0.7618', 'dino_loss': '0.9462', 'depth_loss': '0.2151', 'vggt_mse_loss': '0.2136', 'vggt_cos_loss': '0.01513', 'pidinet_loss': '0.2358', 'siglip_loss': '0.6706', 'epoch': '0.29'} + 90%|████████████████████████████▋ | 8062/9000 [7:03:37<56:01, 3.58s/it][Dataset] cur_step=8063 phase=D_mixed_covt +[Dataset] cur_step=8063 phase=D_mixed_covt[Dataset] cur_step=8063 phase=D_mixed_covt + +[Dataset] cur_step=8063 phase=D_mixed_covt[Dataset] cur_step=8063 phase=D_mixed_covt[Dataset] cur_step=8063 phase=D_mixed_covt[Dataset] cur_step=8063 phase=D_mixed_covt + + + + 90%|████████████████████████████▋ | 8063/9000 [7:03:38<54:36, 3.50s/it][Dataset] cur_step=8063 phase=D_mixed_covt + {'loss': '3.211', 'grad_norm': '2.322', 'learning_rate': '1.467e-06', 'epoch': '0.2901'} + 90%|████████████████████████████▋ | 8063/9000 [7:03:38<54:36, 3.50s/it] {'lm_loss': '0.06258', 'visual_loss': '2.771', 'seg_loss': '0.8072', 'dino_loss': '0.9531', 'depth_loss': '0.2071', 'vggt_mse_loss': '0.2053', 'vggt_cos_loss': '0.01791', 'pidinet_loss': '0.1981', 'siglip_loss': '0.6051', 'epoch': '0.2901'} + 90%|████████████████████████████▋ | 8063/9000 [7:03:39<54:36, 3.50s/it][Dataset] cur_step=8064 phase=D_mixed_covt +[Dataset] cur_step=8064 phase=D_mixed_covt +[Dataset] cur_step=8064 phase=D_mixed_covt +[Dataset] cur_step=8064 phase=D_mixed_covt[Dataset] cur_step=8064 phase=D_mixed_covt + +[Dataset] cur_step=8064 phase=D_mixed_covt +[Dataset] cur_step=8064 phase=D_mixed_covt + 90%|████████████████████████████▋ | 8064/9000 [7:03:40<47:19, 3.03s/it][Dataset] cur_step=8064 phase=D_mixed_covt + {'loss': '3.239', 'grad_norm': '4.226', 'learning_rate': '1.464e-06', 'epoch': '0.2901'} + 90%|████████████████████████████▋ | 8064/9000 [7:03:40<47:19, 3.03s/it] {'lm_loss': '1.131', 'visual_loss': '2.716', 'seg_loss': '0.6769', 'dino_loss': '0.9403', 'depth_loss': '0.2604', 'vggt_mse_loss': '0.2586', 'vggt_cos_loss': '0.01785', 'pidinet_loss': '0.2661', 'siglip_loss': '0.5723', 'epoch': '0.2901'} + 90%|████████████████████████████▋ | 8064/9000 [7:03:42<47:19, 3.03s/it][Dataset] cur_step=8065 phase=D_mixed_covt +[Dataset] cur_step=8065 phase=D_mixed_covt +[Dataset] cur_step=8065 phase=D_mixed_covt +[Dataset] cur_step=8065 phase=D_mixed_covt +[Dataset] cur_step=8065 phase=D_mixed_covt + 90%|████████████████████████████▋ | 8065/9000 [7:03:42<44:38, 2.86s/it][Dataset] cur_step=8065 phase=D_mixed_covt +[Dataset] cur_step=8065 phase=D_mixed_covt +[Dataset] cur_step=8065 phase=D_mixed_covt + {'loss': '3.287', 'grad_norm': '2.456', 'learning_rate': '1.461e-06', 'epoch': '0.2901'} + 90%|████████████████████████████▋ | 8065/9000 [7:03:42<44:38, 2.86s/it] {'lm_loss': '0.893', 'visual_loss': '2.449', 'seg_loss': '0.5811', 'dino_loss': '0.9238', 'depth_loss': '0.1033', 'vggt_mse_loss': '0.1027', 'vggt_cos_loss': '0.006414', 'pidinet_loss': '0.222', 'siglip_loss': '0.6182', 'epoch': '0.2901'} + 90%|████████████████████████████▋ | 8065/9000 [7:03:44<44:38, 2.86s/it][Dataset] cur_step=8066 phase=D_mixed_covt[Dataset] cur_step=8066 phase=D_mixed_covt + +[Dataset] cur_step=8066 phase=D_mixed_covt +[Dataset] cur_step=8066 phase=D_mixed_covt +[Dataset] cur_step=8066 phase=D_mixed_covt +[Dataset] cur_step=8066 phase=D_mixed_covt +[Dataset] cur_step=8066 phase=D_mixed_covt +[Dataset] cur_step=8066 phase=D_mixed_covt + 90%|████████████████████████████▋ | 8066/9000 [7:03:45<42:42, 2.74s/it] {'loss': '3.075', 'grad_norm': '2.534', 'learning_rate': '1.458e-06', 'epoch': '0.2902'} + 90%|████████████████████████████▋ | 8066/9000 [7:03:45<42:42, 2.74s/it] {'lm_loss': '0.5658', 'visual_loss': '1.37', 'seg_loss': '0.495', 'dino_loss': '0', 'depth_loss': '0.1666', 'vggt_mse_loss': '0.1657', 'vggt_cos_loss': '0.009242', 'pidinet_loss': '0.2721', 'siglip_loss': '0.4363', 'epoch': '0.2902'} + 90%|████████████████████████████▋ | 8066/9000 [7:03:48<42:42, 2.74s/it][Dataset] cur_step=8067 phase=D_mixed_covt[Dataset] cur_step=8067 phase=D_mixed_covt + +[Dataset] cur_step=8067 phase=D_mixed_covt[Dataset] cur_step=8067 phase=D_mixed_covt + + 90%|████████████████████████████▋ | 8067/9000 [7:03:48<44:09, 2.84s/it][Dataset] cur_step=8067 phase=D_mixed_covt +[Dataset] cur_step=8067 phase=D_mixed_covt +[Dataset] cur_step=8067 phase=D_mixed_covt[Dataset] cur_step=8067 phase=D_mixed_covt + + {'loss': '1.948', 'grad_norm': '2.37', 'learning_rate': '1.455e-06', 'epoch': '0.2902'} + 90%|████████████████████████████▋ | 8067/9000 [7:03:48<44:09, 2.84s/it] {'lm_loss': '0.1848', 'visual_loss': '2.686', 'seg_loss': '0.6862', 'dino_loss': '0.9082', 'depth_loss': '0.3496', 'vggt_mse_loss': '0.3472', 'vggt_cos_loss': '0.02376', 'pidinet_loss': '0.2226', 'siglip_loss': '0.5192', 'epoch': '0.2902'} + 90%|████████████████████████████▋ | 8067/9000 [7:03:51<44:09, 2.84s/it][Dataset] cur_step=8068 phase=D_mixed_covt +[Dataset] cur_step=8068 phase=D_mixed_covt +[Dataset] cur_step=8068 phase=D_mixed_covt +[Dataset] cur_step=8068 phase=D_mixed_covt + 90%|████████████████████████████▋ | 8068/9000 [7:03:51<44:18, 2.85s/it][Dataset] cur_step=8068 phase=D_mixed_covt +[Dataset] cur_step=8068 phase=D_mixed_covt +[Dataset] cur_step=8068 phase=D_mixed_covt +[Dataset] cur_step=8068 phase=D_mixed_covt + {'loss': '3.248', 'grad_norm': '3.978', 'learning_rate': '1.452e-06', 'epoch': '0.2902'} + 90%|████████████████████████████▋ | 8068/9000 [7:03:51<44:18, 2.85s/it] {'lm_loss': '0.7238', 'visual_loss': '1.424', 'seg_loss': '0.7252', 'dino_loss': '0', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.235', 'siglip_loss': '0.4634', 'epoch': '0.2902'} + 90%|████████████████████████████▋ | 8068/9000 [7:03:52<44:18, 2.85s/it][Dataset] cur_step=8069 phase=D_mixed_covt +[Dataset] cur_step=8069 phase=D_mixed_covt +[Dataset] cur_step=8069 phase=D_mixed_covt[Dataset] cur_step=8069 phase=D_mixed_covt + +[Dataset] cur_step=8069 phase=D_mixed_covt + 90%|████████████████████████████▋ | 8069/9000 [7:03:53<41:01, 2.64s/it][Dataset] cur_step=8069 phase=D_mixed_covt +[Dataset] cur_step=8069 phase=D_mixed_covt +[Dataset] cur_step=8069 phase=D_mixed_covt + {'loss': '2.296', 'grad_norm': '4.55', 'learning_rate': '1.449e-06', 'epoch': '0.2903'} + 90%|████████████████████████████▋ | 8069/9000 [7:03:53<41:01, 2.64s/it] {'lm_loss': '0.06226', 'visual_loss': '2.596', 'seg_loss': '0.6836', 'dino_loss': '0.9277', 'depth_loss': '0.2821', 'vggt_mse_loss': '0.2799', 'vggt_cos_loss': '0.02185', 'pidinet_loss': '0.2257', 'siglip_loss': '0.4772', 'epoch': '0.2903'} + 90%|████████████████████████████▋ | 8069/9000 [7:03:55<41:01, 2.64s/it][Dataset] cur_step=8070 phase=D_mixed_covt +[Dataset] cur_step=8070 phase=D_mixed_covt +[Dataset] cur_step=8070 phase=D_mixed_covt +[Dataset] cur_step=8070 phase=D_mixed_covt +[Dataset] cur_step=8070 phase=D_mixed_covt +[Dataset] cur_step=8070 phase=D_mixed_covt +[Dataset] cur_step=8070 phase=D_mixed_covt +[Dataset] cur_step=8070 phase=D_mixed_covt + 90%|████████████████████████████▋ | 8070/9000 [7:03:56<42:29, 2.74s/it] {'loss': '3.383', 'grad_norm': '3.915', 'learning_rate': '1.445e-06', 'epoch': '0.2903'} + 90%|████████████████████████████▋ | 8070/9000 [7:03:56<42:29, 2.74s/it] {'lm_loss': '0.666', 'visual_loss': '1.993', 'seg_loss': '0.5934', 'dino_loss': '0.8861', 'depth_loss': '0.2097', 'vggt_mse_loss': '0.2091', 'vggt_cos_loss': '0.005798', 'pidinet_loss': '0.1973', 'siglip_loss': '0.1071', 'epoch': '0.2903'} + 90%|████████████████████████████▋ | 8070/9000 [7:03:58<42:29, 2.74s/it][Dataset] cur_step=8071 phase=D_mixed_covt[Dataset] cur_step=8071 phase=D_mixed_covt + +[Dataset] cur_step=8071 phase=D_mixed_covt +[Dataset] cur_step=8071 phase=D_mixed_covt 90%|████████████████████████████▋ | 8071/9000 [7:03:59<41:46, 2.70s/it] +[Dataset] cur_step=8071 phase=D_mixed_covt +[Dataset] cur_step=8071 phase=D_mixed_covt[Dataset] cur_step=8071 phase=D_mixed_covt[Dataset] cur_step=8071 phase=D_mixed_covt + + + {'loss': '3.086', 'grad_norm': '2.44', 'learning_rate': '1.442e-06', 'epoch': '0.2904'} + 90%|████████████████████████████▋ | 8071/9000 [7:03:59<41:46, 2.70s/it] {'lm_loss': '0.4079', 'visual_loss': '2.577', 'seg_loss': '0.6919', 'dino_loss': '0.8888', 'depth_loss': '0.313', 'vggt_mse_loss': '0.3106', 'vggt_cos_loss': '0.02361', 'pidinet_loss': '0.1121', 'siglip_loss': '0.5708', 'epoch': '0.2904'} + 90%|████████████████████████████▋ | 8071/9000 [7:04:01<41:46, 2.70s/it][Dataset] cur_step=8072 phase=D_mixed_covt +[Dataset] cur_step=8072 phase=D_mixed_covt +[Dataset] cur_step=8072 phase=D_mixed_covt +[Dataset] cur_step=8072 phase=D_mixed_covt +[Dataset] cur_step=8072 phase=D_mixed_covt +[Dataset] cur_step=8072 phase=D_mixed_covt +[Dataset] cur_step=8072 phase=D_mixed_covt[Dataset] cur_step=8072 phase=D_mixed_covt + + 90%|████████████████████████████▋ | 8072/9000 [7:04:02<43:02, 2.78s/it] {'loss': '3.158', 'grad_norm': '12.68', 'learning_rate': '1.439e-06', 'epoch': '0.2904'} + 90%|████████████████████████████▋ | 8072/9000 [7:04:02<43:02, 2.78s/it] {'lm_loss': '0.393', 'visual_loss': '2.587', 'seg_loss': '0.7034', 'dino_loss': '0.9133', 'depth_loss': '0.272', 'vggt_mse_loss': '0.27', 'vggt_cos_loss': '0.01976', 'pidinet_loss': '0.2297', 'siglip_loss': '0.4689', 'epoch': '0.2904'} + 90%|████████████████████████████▋ | 8072/9000 [7:04:04<43:02, 2.78s/it][Dataset] cur_step=8073 phase=D_mixed_covt +[Dataset] cur_step=8073 phase=D_mixed_covt +[Dataset] cur_step=8073 phase=D_mixed_covt +[Dataset] cur_step=8073 phase=D_mixed_covt +[Dataset] cur_step=8073 phase=D_mixed_covt +[Dataset] cur_step=8073 phase=D_mixed_covt +[Dataset] cur_step=8073 phase=D_mixed_covt +[Dataset] cur_step=8073 phase=D_mixed_covt + 90%|████████████████████████████▋ | 8073/9000 [7:04:04<42:32, 2.75s/it] {'loss': '3.186', 'grad_norm': '2.205', 'learning_rate': '1.436e-06', 'epoch': '0.2904'} + 90%|████████████████████████████▋ | 8073/9000 [7:04:04<42:32, 2.75s/it] {'lm_loss': '0.6263', 'visual_loss': '2.687', 'seg_loss': '0.7823', 'dino_loss': '0.9326', 'depth_loss': '0.2693', 'vggt_mse_loss': '0.2672', 'vggt_cos_loss': '0.02165', 'pidinet_loss': '0.2795', 'siglip_loss': '0.4235', 'epoch': '0.2904'} + 90%|████████████████████████████▋ | 8073/9000 [7:04:06<42:32, 2.75s/it][Dataset] cur_step=8074 phase=D_mixed_covt +[Dataset] cur_step=8074 phase=D_mixed_covt +[Dataset] cur_step=8074 phase=D_mixed_covt +[Dataset] cur_step=8074 phase=D_mixed_covt +[Dataset] cur_step=8074 phase=D_mixed_covt +[Dataset] cur_step=8074 phase=D_mixed_covt +[Dataset] cur_step=8074 phase=D_mixed_covt +[Dataset] cur_step=8074 phase=D_mixed_covt + 90%|████████████████████████████▋ | 8074/9000 [7:04:06<38:31, 2.50s/it] {'loss': '3.21', 'grad_norm': '3.527', 'learning_rate': '1.433e-06', 'epoch': '0.2905'} + 90%|████████████████████████████▋ | 8074/9000 [7:04:06<38:31, 2.50s/it] {'lm_loss': '1.05', 'visual_loss': '1.199', 'seg_loss': '0', 'dino_loss': '0.9477', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2509', 'siglip_loss': '0', 'epoch': '0.2905'} + 90%|████████████████████████████▋ | 8074/9000 [7:04:07<38:31, 2.50s/it][Dataset] cur_step=8075 phase=D_mixed_covt +[Dataset] cur_step=8075 phase=D_mixed_covt +[Dataset] cur_step=8075 phase=D_mixed_covt +[Dataset] cur_step=8075 phase=D_mixed_covt +[Dataset] cur_step=8075 phase=D_mixed_covt + 90%|████████████████████████████▋ | 8075/9000 [7:04:07<31:45, 2.06s/it][Dataset] cur_step=8075 phase=D_mixed_covt +[Dataset] cur_step=8075 phase=D_mixed_covt[Dataset] cur_step=8075 phase=D_mixed_covt + + {'loss': '1.846', 'grad_norm': '2.851', 'learning_rate': '1.43e-06', 'epoch': '0.2905'} + 90%|████████████████████████████▋ | 8075/9000 [7:04:07<31:45, 2.06s/it] {'lm_loss': '0.9346', 'visual_loss': '2.529', 'seg_loss': '0.7535', 'dino_loss': '0.8882', 'depth_loss': '0.1663', 'vggt_mse_loss': '0.1652', 'vggt_cos_loss': '0.0107', 'pidinet_loss': '0.1897', 'siglip_loss': '0.5316', 'epoch': '0.2905'} + 90%|████████████████████████████▋ | 8075/9000 [7:04:10<31:45, 2.06s/it][Dataset] cur_step=8076 phase=D_mixed_covt +[Dataset] cur_step=8076 phase=D_mixed_covt +[Dataset] cur_step=8076 phase=D_mixed_covt +[Dataset] cur_step=8076 phase=D_mixed_covt +[Dataset] cur_step=8076 phase=D_mixed_covt[Dataset] cur_step=8076 phase=D_mixed_covt + + 90%|████████████████████████████▋ | 8076/9000 [7:04:12<46:21, 3.01s/it][Dataset] cur_step=8076 phase=D_mixed_covt +[Dataset] cur_step=8076 phase=D_mixed_covt + {'loss': '3.173', 'grad_norm': '3.778', 'learning_rate': '1.427e-06', 'epoch': '0.2905'} + 90%|████████████████████████████▋ | 8076/9000 [7:04:12<46:21, 3.01s/it] {'lm_loss': '0.6209', 'visual_loss': '2.694', 'seg_loss': '0.7745', 'dino_loss': '0.9014', 'depth_loss': '0.276', 'vggt_mse_loss': '0.2737', 'vggt_cos_loss': '0.02321', 'pidinet_loss': '0.1795', 'siglip_loss': '0.5626', 'epoch': '0.2905'} + 90%|████████████████████████████▋ | 8076/9000 [7:04:15<46:21, 3.01s/it][Dataset] cur_step=8077 phase=D_mixed_covt +[Dataset] cur_step=8077 phase=D_mixed_covt +[Dataset] cur_step=8077 phase=D_mixed_covt +[Dataset] cur_step=8077 phase=D_mixed_covt +[Dataset] cur_step=8077 phase=D_mixed_covt[Dataset] cur_step=8077 phase=D_mixed_covt + +[Dataset] cur_step=8077 phase=D_mixed_covt + 90%|████████████████████████████▋ | 8077/9000 [7:04:15<44:46, 2.91s/it][Dataset] cur_step=8077 phase=D_mixed_covt + {'loss': '3.257', 'grad_norm': '3.04', 'learning_rate': '1.424e-06', 'epoch': '0.2906'} + 90%|████████████████████████████▋ | 8077/9000 [7:04:15<44:46, 2.91s/it] {'lm_loss': '0.537', 'visual_loss': '1.393', 'seg_loss': '0', 'dino_loss': '0.9156', 'depth_loss': '0.2674', 'vggt_mse_loss': '0.2658', 'vggt_cos_loss': '0.01617', 'pidinet_loss': '0.07026', 'siglip_loss': '0.1402', 'epoch': '0.2906'} + 90%|████████████████████████████▋ | 8077/9000 [7:04:16<44:46, 2.91s/it][Dataset] cur_step=8078 phase=D_mixed_covt +[Dataset] cur_step=8078 phase=D_mixed_covt +[Dataset] cur_step=8078 phase=D_mixed_covt +[Dataset] cur_step=8078 phase=D_mixed_covt +[Dataset] cur_step=8078 phase=D_mixed_covt + 90%|████████████████████████████▋ | 8078/9000 [7:04:16<36:50, 2.40s/it][Dataset] cur_step=8078 phase=D_mixed_covt +[Dataset] cur_step=8078 phase=D_mixed_covt +[Dataset] cur_step=8078 phase=D_mixed_covt + {'loss': '2.52', 'grad_norm': '3.52', 'learning_rate': '1.421e-06', 'epoch': '0.2906'} + 90%|████████████████████████████▋ | 8078/9000 [7:04:16<36:50, 2.40s/it] {'lm_loss': '0.5176', 'visual_loss': '2.301', 'seg_loss': '0.6328', 'dino_loss': '0.8883', 'depth_loss': '0.2854', 'vggt_mse_loss': '0.2833', 'vggt_cos_loss': '0.02168', 'pidinet_loss': '0.1422', 'siglip_loss': '0.3518', 'epoch': '0.2906'} + 90%|████████████████████████████▋ | 8078/9000 [7:04:19<36:50, 2.40s/it][Dataset] cur_step=8079 phase=D_mixed_covt +[Dataset] cur_step=8079 phase=D_mixed_covt[Dataset] cur_step=8079 phase=D_mixed_covt + +[Dataset] cur_step=8079 phase=D_mixed_covt +[Dataset] cur_step=8079 phase=D_mixed_covt +[Dataset] cur_step=8079 phase=D_mixed_covt 90%|████████████████████████████▋ | 8079/9000 [7:04:19<39:58, 2.60s/it] +[Dataset] cur_step=8079 phase=D_mixed_covt +[Dataset] cur_step=8079 phase=D_mixed_covt + {'loss': '3.089', 'grad_norm': '2.687', 'learning_rate': '1.418e-06', 'epoch': '0.2906'} + 90%|████████████████████████████▋ | 8079/9000 [7:04:19<39:58, 2.60s/it] {'lm_loss': '0.06089', 'visual_loss': '2.553', 'seg_loss': '0.7192', 'dino_loss': '0.8805', 'depth_loss': '0.1842', 'vggt_mse_loss': '0.1832', 'vggt_cos_loss': '0.01074', 'pidinet_loss': '0.233', 'siglip_loss': '0.5358', 'epoch': '0.2906'} + 90%|████████████████████████████▋ | 8079/9000 [7:04:23<39:58, 2.60s/it][Dataset] cur_step=8080 phase=D_mixed_covt[Dataset] cur_step=8080 phase=D_mixed_covt + + 90%|████████████████████████████▋ | 8080/9000 [7:04:23<45:53, 2.99s/it][Dataset] cur_step=8080 phase=D_mixed_covt[Dataset] cur_step=8080 phase=D_mixed_covt + +[Dataset] cur_step=8080 phase=D_mixed_covt +[Dataset] cur_step=8080 phase=D_mixed_covt +[Dataset] cur_step=8080 phase=D_mixed_covt +[Dataset] cur_step=8080 phase=D_mixed_covt + {'loss': '3.284', 'grad_norm': '2.38', 'learning_rate': '1.415e-06', 'epoch': '0.2907'} + 90%|████████████████████████████▋ | 8080/9000 [7:04:23<45:53, 2.99s/it] {'lm_loss': '0.7165', 'visual_loss': '2.209', 'seg_loss': '0.49', 'dino_loss': '0.8886', 'depth_loss': '0.2005', 'vggt_mse_loss': '0.1991', 'vggt_cos_loss': '0.0143', 'pidinet_loss': '0.1835', 'siglip_loss': '0.4462', 'epoch': '0.2907'} + 90%|████████████████████████████▋ | 8080/9000 [7:04:26<45:53, 2.99s/it][Dataset] cur_step=8081 phase=D_mixed_covt + 90%|████████████████████████████▋ | 8081/9000 [7:04:27<47:39, 3.11s/it][Dataset] cur_step=8081 phase=D_mixed_covt[Dataset] cur_step=8081 phase=D_mixed_covt[Dataset] cur_step=8081 phase=D_mixed_covt + + +[Dataset] cur_step=8081 phase=D_mixed_covt +[Dataset] cur_step=8081 phase=D_mixed_covt +[Dataset] cur_step=8081 phase=D_mixed_covt +[Dataset] cur_step=8081 phase=D_mixed_covt + {'loss': '3.226', 'grad_norm': '2.324', 'learning_rate': '1.412e-06', 'epoch': '0.2907'} + 90%|████████████████████████████▋ | 8081/9000 [7:04:27<47:39, 3.11s/it] {'lm_loss': '0.5773', 'visual_loss': '1.232', 'seg_loss': '0.4983', 'dino_loss': '0', 'depth_loss': '0.1616', 'vggt_mse_loss': '0.161', 'vggt_cos_loss': '0.005594', 'pidinet_loss': '0.2032', 'siglip_loss': '0.3688', 'epoch': '0.2907'} + 90%|████████████████████████████▋ | 8081/9000 [7:04:28<47:39, 3.11s/it][Dataset] cur_step=8082 phase=D_mixed_covt +[Dataset] cur_step=8082 phase=D_mixed_covt[Dataset] cur_step=8082 phase=D_mixed_covt + +[Dataset] cur_step=8082 phase=D_mixed_covt + 90%|████████████████████████████▋ | 8082/9000 [7:04:31<52:37, 3.44s/it][Dataset] cur_step=8082 phase=D_mixed_covt[Dataset] cur_step=8082 phase=D_mixed_covt + +[Dataset] cur_step=8082 phase=D_mixed_covt +[Dataset] cur_step=8082 phase=D_mixed_covt + {'loss': '2.425', 'grad_norm': '3.436', 'learning_rate': '1.409e-06', 'epoch': '0.2908'} + 90%|████████████████████████████▋ | 8082/9000 [7:04:31<52:37, 3.44s/it] {'lm_loss': '0.08025', 'visual_loss': '2.338', 'seg_loss': '0.7273', 'dino_loss': '0.8732', 'depth_loss': '0.1593', 'vggt_mse_loss': '0.1586', 'vggt_cos_loss': '0.00722', 'pidinet_loss': '0.1901', 'siglip_loss': '0.3882', 'epoch': '0.2908'} + 90%|████████████████████████████▋ | 8082/9000 [7:04:34<52:37, 3.44s/it][Dataset] cur_step=8083 phase=D_mixed_covt +[Dataset] cur_step=8083 phase=D_mixed_covt +[Dataset] cur_step=8083 phase=D_mixed_covt +[Dataset] cur_step=8083 phase=D_mixed_covt +[Dataset] cur_step=8083 phase=D_mixed_covt +[Dataset] cur_step=8083 phase=D_mixed_covt +[Dataset] cur_step=8083 phase=D_mixed_covt[Dataset] cur_step=8083 phase=D_mixed_covt + + 90%|████████████████████████████▋ | 8083/9000 [7:04:34<51:42, 3.38s/it] {'loss': '3.097', 'grad_norm': '7.748', 'learning_rate': '1.406e-06', 'epoch': '0.2908'} + 90%|████████████████████████████▋ | 8083/9000 [7:04:34<51:42, 3.38s/it] {'lm_loss': '0.6109', 'visual_loss': '2.618', 'seg_loss': '0.697', 'dino_loss': '0.9203', 'depth_loss': '0.2355', 'vggt_mse_loss': '0.2336', 'vggt_cos_loss': '0.01954', 'pidinet_loss': '0.3067', 'siglip_loss': '0.4586', 'epoch': '0.2908'} + 90%|████████████████████████████▋ | 8083/9000 [7:04:37<51:42, 3.38s/it][Dataset] cur_step=8084 phase=D_mixed_covt +[Dataset] cur_step=8084 phase=D_mixed_covt +[Dataset] cur_step=8084 phase=D_mixed_covt + 90%|██████████████████████████▉ | 8084/9000 [7:04:40<1:01:32, 4.03s/it][Dataset] cur_step=8084 phase=D_mixed_covt +[Dataset] cur_step=8084 phase=D_mixed_covt +[Dataset] cur_step=8084 phase=D_mixed_covt +[Dataset] cur_step=8084 phase=D_mixed_covt +[Dataset] cur_step=8084 phase=D_mixed_covt + {'loss': '3.081', 'grad_norm': '2.397', 'learning_rate': '1.403e-06', 'epoch': '0.2908'} + 90%|██████████████████████████▉ | 8084/9000 [7:04:40<1:01:32, 4.03s/it] {'lm_loss': '0.4793', 'visual_loss': '2.336', 'seg_loss': '0.5734', 'dino_loss': '0.88', 'depth_loss': '0.2086', 'vggt_mse_loss': '0.2072', 'vggt_cos_loss': '0.01437', 'pidinet_loss': '0.3285', 'siglip_loss': '0.345', 'epoch': '0.2908'} + 90%|██████████████████████████▉ | 8084/9000 [7:04:43<1:01:32, 4.03s/it][Dataset] cur_step=8085 phase=D_mixed_covt +[Dataset] cur_step=8085 phase=D_mixed_covt +[Dataset] cur_step=8085 phase=D_mixed_covt + 90%|██████████████████████████▉ | 8085/9000 [7:04:44<1:01:37, 4.04s/it][Dataset] cur_step=8085 phase=D_mixed_covt[Dataset] cur_step=8085 phase=D_mixed_covt + +[Dataset] cur_step=8085 phase=D_mixed_covt +[Dataset] cur_step=8085 phase=D_mixed_covt +[Dataset] cur_step=8085 phase=D_mixed_covt + {'loss': '3.044', 'grad_norm': '2.539', 'learning_rate': '1.4e-06', 'epoch': '0.2909'} + 90%|██████████████████████████▉ | 8085/9000 [7:04:44<1:01:37, 4.04s/it] {'lm_loss': '0.07263', 'visual_loss': '2.518', 'seg_loss': '0.6619', 'dino_loss': '0.9279', 'depth_loss': '0.2062', 'vggt_mse_loss': '0.2045', 'vggt_cos_loss': '0.0167', 'pidinet_loss': '0.2135', 'siglip_loss': '0.509', 'epoch': '0.2909'} + 90%|██████████████████████████▉ | 8085/9000 [7:04:45<1:01:37, 4.04s/it][Dataset] cur_step=8086 phase=D_mixed_covt +[Dataset] cur_step=8086 phase=D_mixed_covt +[Dataset] cur_step=8086 phase=D_mixed_covt +[Dataset] cur_step=8086 phase=D_mixed_covt 90%|████████████████████████████▊ | 8086/9000 [7:04:46<51:28, 3.38s/it] +[Dataset] cur_step=8086 phase=D_mixed_covt +[Dataset] cur_step=8086 phase=D_mixed_covt +[Dataset] cur_step=8086 phase=D_mixed_covt +[Dataset] cur_step=8086 phase=D_mixed_covt + {'loss': '3.113', 'grad_norm': '3.287', 'learning_rate': '1.397e-06', 'epoch': '0.2909'} + 90%|████████████████████████████▊ | 8086/9000 [7:04:46<51:28, 3.38s/it] {'lm_loss': '1.114', 'visual_loss': '1.79', 'seg_loss': '0', 'dino_loss': '0.8837', 'depth_loss': '0.1353', 'vggt_mse_loss': '0.1343', 'vggt_cos_loss': '0.009709', 'pidinet_loss': '0.2681', 'siglip_loss': '0.5033', 'epoch': '0.2909'} + 90%|████████████████████████████▊ | 8086/9000 [7:04:46<51:28, 3.38s/it][Dataset] cur_step=8087 phase=D_mixed_covt[Dataset] cur_step=8087 phase=D_mixed_covt + +[Dataset] cur_step=8087 phase=D_mixed_covt +[Dataset] cur_step=8087 phase=D_mixed_covt + 90%|████████████████████████████▊ | 8087/9000 [7:04:47<42:00, 2.76s/it][Dataset] cur_step=8087 phase=D_mixed_covt[Dataset] cur_step=8087 phase=D_mixed_covt + +[Dataset] cur_step=8087 phase=D_mixed_covt +[Dataset] cur_step=8087 phase=D_mixed_covt + {'loss': '2.712', 'grad_norm': '2.173', 'learning_rate': '1.394e-06', 'epoch': '0.2909'} + 90%|████████████████████████████▊ | 8087/9000 [7:04:47<42:00, 2.76s/it] {'lm_loss': '0.6811', 'visual_loss': '2.181', 'seg_loss': '0.6841', 'dino_loss': '0.9248', 'depth_loss': '0.3085', 'vggt_mse_loss': '0.3067', 'vggt_cos_loss': '0.01768', 'pidinet_loss': '0.2632', 'siglip_loss': '0', 'epoch': '0.2909'} + 90%|████████████████████████████▊ | 8087/9000 [7:04:49<42:00, 2.76s/it][Dataset] cur_step=8088 phase=D_mixed_covt[Dataset] cur_step=8088 phase=D_mixed_covt + +[Dataset] cur_step=8088 phase=D_mixed_covt +[Dataset] cur_step=8088 phase=D_mixed_covt +[Dataset] cur_step=8088 phase=D_mixed_covt[Dataset] cur_step=8088 phase=D_mixed_covt + + 90%|████████████████████████████▊ | 8088/9000 [7:04:49<40:32, 2.67s/it][Dataset] cur_step=8088 phase=D_mixed_covt[Dataset] cur_step=8088 phase=D_mixed_covt + + {'loss': '2.746', 'grad_norm': '2.704', 'learning_rate': '1.391e-06', 'epoch': '0.291'} + 90%|████████████████████████████▊ | 8088/9000 [7:04:49<40:32, 2.67s/it] {'lm_loss': '0.2214', 'visual_loss': '2.55', 'seg_loss': '0.7904', 'dino_loss': '0.8982', 'depth_loss': '0.2549', 'vggt_mse_loss': '0.253', 'vggt_cos_loss': '0.01926', 'pidinet_loss': '0.2416', 'siglip_loss': '0.3651', 'epoch': '0.291'} + 90%|████████████████████████████▊ | 8088/9000 [7:04:52<40:32, 2.67s/it][Dataset] cur_step=8089 phase=D_mixed_covt +[Dataset] cur_step=8089 phase=D_mixed_covt +[Dataset] cur_step=8089 phase=D_mixed_covt +[Dataset] cur_step=8089 phase=D_mixed_covt +[Dataset] cur_step=8089 phase=D_mixed_covt[Dataset] cur_step=8089 phase=D_mixed_covt + + 90%|████████████████████████████▊ | 8089/9000 [7:04:53<43:33, 2.87s/it][Dataset] cur_step=8089 phase=D_mixed_covt +[Dataset] cur_step=8089 phase=D_mixed_covt + {'loss': '3.276', 'grad_norm': '3.313', 'learning_rate': '1.388e-06', 'epoch': '0.291'} + 90%|████████████████████████████▊ | 8089/9000 [7:04:53<43:33, 2.87s/it] {'lm_loss': '0.6404', 'visual_loss': '2.77', 'seg_loss': '0.6697', 'dino_loss': '0.9446', 'depth_loss': '0.529', 'vggt_mse_loss': '0.5255', 'vggt_cos_loss': '0.03457', 'pidinet_loss': '0.2235', 'siglip_loss': '0.4037', 'epoch': '0.291'} + 90%|████████████████████████████▊ | 8089/9000 [7:04:54<43:33, 2.87s/it][Dataset] cur_step=8090 phase=D_mixed_covt +[Dataset] cur_step=8090 phase=D_mixed_covt[Dataset] cur_step=8090 phase=D_mixed_covt +[Dataset] cur_step=8090 phase=D_mixed_covt +[Dataset] cur_step=8090 phase=D_mixed_covt + +[Dataset] cur_step=8090 phase=D_mixed_covt + 90%|████████████████████████████▊ | 8090/9000 [7:04:55<39:09, 2.58s/it][Dataset] cur_step=8090 phase=D_mixed_covt +[Dataset] cur_step=8090 phase=D_mixed_covt + {'loss': '3.31', 'grad_norm': '9.331', 'learning_rate': '1.385e-06', 'epoch': '0.291'} + 90%|████████████████████████████▊ | 8090/9000 [7:04:55<39:09, 2.58s/it] {'lm_loss': '0.07916', 'visual_loss': '2.738', 'seg_loss': '0.7806', 'dino_loss': '0.9081', 'depth_loss': '0.1691', 'vggt_mse_loss': '0.168', 'vggt_cos_loss': '0.01053', 'pidinet_loss': '0.2294', 'siglip_loss': '0.6507', 'epoch': '0.291'} + 90%|████████████████████████████▊ | 8090/9000 [7:04:56<39:09, 2.58s/it][Dataset] cur_step=8091 phase=D_mixed_covt +[Dataset] cur_step=8091 phase=D_mixed_covt[Dataset] cur_step=8091 phase=D_mixed_covt + +[Dataset] cur_step=8091 phase=D_mixed_covt[Dataset] cur_step=8091 phase=D_mixed_covt + +[Dataset] cur_step=8091 phase=D_mixed_covt +[Dataset] cur_step=8091 phase=D_mixed_covt + 90%|████████████████████████████▊ | 8091/9000 [7:04:57<39:01, 2.58s/it][Dataset] cur_step=8091 phase=D_mixed_covt + {'loss': '3.363', 'grad_norm': '6.136', 'learning_rate': '1.382e-06', 'epoch': '0.2911'} + 90%|████████████████████████████▊ | 8091/9000 [7:04:57<39:01, 2.58s/it] {'lm_loss': '0.533', 'visual_loss': '2.729', 'seg_loss': '0.8157', 'dino_loss': '0.9203', 'depth_loss': '0.2159', 'vggt_mse_loss': '0.2141', 'vggt_cos_loss': '0.01786', 'pidinet_loss': '0.2103', 'siglip_loss': '0.567', 'epoch': '0.2911'} + 90%|████████████████████████████▊ | 8091/9000 [7:04:58<39:01, 2.58s/it][Dataset] cur_step=8092 phase=D_mixed_covt +[Dataset] cur_step=8092 phase=D_mixed_covt[Dataset] cur_step=8092 phase=D_mixed_covt + +[Dataset] cur_step=8092 phase=D_mixed_covt +[Dataset] cur_step=8092 phase=D_mixed_covt +[Dataset] cur_step=8092 phase=D_mixed_covt +[Dataset] cur_step=8092 phase=D_mixed_covt +[Dataset] cur_step=8092 phase=D_mixed_covt + 90%|████████████████████████████▊ | 8092/9000 [7:04:59<35:23, 2.34s/it] {'loss': '3.161', 'grad_norm': '2.473', 'learning_rate': '1.379e-06', 'epoch': '0.2911'} + 90%|████████████████████████████▊ | 8092/9000 [7:04:59<35:23, 2.34s/it] {'lm_loss': '0.3846', 'visual_loss': '2.441', 'seg_loss': '0.4444', 'dino_loss': '0.8606', 'depth_loss': '0.1958', 'vggt_mse_loss': '0.1944', 'vggt_cos_loss': '0.01353', 'pidinet_loss': '0.3478', 'siglip_loss': '0.592', 'epoch': '0.2911'} + 90%|████████████████████████████▊ | 8092/9000 [7:05:01<35:23, 2.34s/it][Dataset] cur_step=8093 phase=D_mixed_covt +[Dataset] cur_step=8093 phase=D_mixed_covt +[Dataset] cur_step=8093 phase=D_mixed_covt + 90%|████████████████████████████▊ | 8093/9000 [7:05:01<34:19, 2.27s/it][Dataset] cur_step=8093 phase=D_mixed_covt +[Dataset] cur_step=8093 phase=D_mixed_covt +[Dataset] cur_step=8093 phase=D_mixed_covt +[Dataset] cur_step=8093 phase=D_mixed_covt +[Dataset] cur_step=8093 phase=D_mixed_covt + {'loss': '3.626', 'grad_norm': '4.303', 'learning_rate': '1.376e-06', 'epoch': '0.2911'} + 90%|████████████████████████████▊ | 8093/9000 [7:05:01<34:19, 2.27s/it] {'lm_loss': '0.8821', 'visual_loss': '1.929', 'seg_loss': '0.7905', 'dino_loss': '0.9367', 'depth_loss': '0.2021', 'vggt_mse_loss': '0.2005', 'vggt_cos_loss': '0.01635', 'pidinet_loss': '0', 'siglip_loss': '0', 'epoch': '0.2911'} + 90%|████████████████████████████▊ | 8093/9000 [7:05:02<34:19, 2.27s/it][Dataset] cur_step=8094 phase=D_mixed_covt +[Dataset] cur_step=8094 phase=D_mixed_covt +[Dataset] cur_step=8094 phase=D_mixed_covt + 90%|████████████████████████████▊ | 8094/9000 [7:05:03<31:31, 2.09s/it][Dataset] cur_step=8094 phase=D_mixed_covt +[Dataset] cur_step=8094 phase=D_mixed_covt +[Dataset] cur_step=8094 phase=D_mixed_covt[Dataset] cur_step=8094 phase=D_mixed_covt + +[Dataset] cur_step=8094 phase=D_mixed_covt + {'loss': '2.766', 'grad_norm': '2.157', 'learning_rate': '1.373e-06', 'epoch': '0.2912'} + 90%|████████████████████████████▊ | 8094/9000 [7:05:03<31:31, 2.09s/it] {'lm_loss': '0.5927', 'visual_loss': '2.846', 'seg_loss': '0.8104', 'dino_loss': '0.9104', 'depth_loss': '0.246', 'vggt_mse_loss': '0.2443', 'vggt_cos_loss': '0.01616', 'pidinet_loss': '0.2585', 'siglip_loss': '0.6205', 'epoch': '0.2912'} + 90%|████████████████████████████▊ | 8094/9000 [7:05:05<31:31, 2.09s/it][Dataset] cur_step=8095 phase=D_mixed_covt[Dataset] cur_step=8095 phase=D_mixed_covt + +[Dataset] cur_step=8095 phase=D_mixed_covt +[Dataset] cur_step=8095 phase=D_mixed_covt +[Dataset] cur_step=8095 phase=D_mixed_covt[Dataset] cur_step=8095 phase=D_mixed_covt + + 90%|████████████████████████████▊ | 8095/9000 [7:05:06<37:09, 2.46s/it][Dataset] cur_step=8095 phase=D_mixed_covt[Dataset] cur_step=8095 phase=D_mixed_covt + + {'loss': '3.24', 'grad_norm': '2.751', 'learning_rate': '1.37e-06', 'epoch': '0.2912'} + 90%|████████████████████████████▊ | 8095/9000 [7:05:06<37:09, 2.46s/it] {'lm_loss': '1.022', 'visual_loss': '2.506', 'seg_loss': '0.679', 'dino_loss': '0.9071', 'depth_loss': '0.1799', 'vggt_mse_loss': '0.179', 'vggt_cos_loss': '0.009245', 'pidinet_loss': '0.1809', 'siglip_loss': '0.5595', 'epoch': '0.2912'} + 90%|████████████████████████████▊ | 8095/9000 [7:05:09<37:09, 2.46s/it][Dataset] cur_step=8096 phase=D_mixed_covt +[Dataset] cur_step=8096 phase=D_mixed_covt[Dataset] cur_step=8096 phase=D_mixed_covt + +[Dataset] cur_step=8096 phase=D_mixed_covt[Dataset] cur_step=8096 phase=D_mixed_covt + 90%|████████████████████████████▊ | 8096/9000 [7:05:09<40:50, 2.71s/it] +[Dataset] cur_step=8096 phase=D_mixed_covt +[Dataset] cur_step=8096 phase=D_mixed_covt +[Dataset] cur_step=8096 phase=D_mixed_covt + {'loss': '3.266', 'grad_norm': '2.296', 'learning_rate': '1.367e-06', 'epoch': '0.2913'} + 90%|████████████████████████████▊ | 8096/9000 [7:05:09<40:50, 2.71s/it] {'lm_loss': '0.8027', 'visual_loss': '2.503', 'seg_loss': '0.6187', 'dino_loss': '0.9196', 'depth_loss': '0.2189', 'vggt_mse_loss': '0.2172', 'vggt_cos_loss': '0.01694', 'pidinet_loss': '0.2589', 'siglip_loss': '0.4872', 'epoch': '0.2913'} + 90%|████████████████████████████▊ | 8096/9000 [7:05:11<40:50, 2.71s/it][Dataset] cur_step=8097 phase=D_mixed_covt +[Dataset] cur_step=8097 phase=D_mixed_covt +[Dataset] cur_step=8097 phase=D_mixed_covt[Dataset] cur_step=8097 phase=D_mixed_covt + +[Dataset] cur_step=8097 phase=D_mixed_covt + 90%|████████████████████████████▊ | 8097/9000 [7:05:12<40:30, 2.69s/it][Dataset] cur_step=8097 phase=D_mixed_covt +[Dataset] cur_step=8097 phase=D_mixed_covt +[Dataset] cur_step=8097 phase=D_mixed_covt + {'loss': '3.458', 'grad_norm': '2.065', 'learning_rate': '1.364e-06', 'epoch': '0.2913'} + 90%|████████████████████████████▊ | 8097/9000 [7:05:12<40:30, 2.69s/it] {'lm_loss': '0.7656', 'visual_loss': '2.414', 'seg_loss': '0.6678', 'dino_loss': '0.8808', 'depth_loss': '0.2433', 'vggt_mse_loss': '0.2417', 'vggt_cos_loss': '0.0156', 'pidinet_loss': '0.2712', 'siglip_loss': '0.3507', 'epoch': '0.2913'} + 90%|████████████████████████████▊ | 8097/9000 [7:05:13<40:30, 2.69s/it][Dataset] cur_step=8098 phase=D_mixed_covt[Dataset] cur_step=8098 phase=D_mixed_covt + +[Dataset] cur_step=8098 phase=D_mixed_covt +[Dataset] cur_step=8098 phase=D_mixed_covt +[Dataset] cur_step=8098 phase=D_mixed_covt + 90%|████████████████████████████▊ | 8098/9000 [7:05:14<36:42, 2.44s/it][Dataset] cur_step=8098 phase=D_mixed_covt +[Dataset] cur_step=8098 phase=D_mixed_covt +[Dataset] cur_step=8098 phase=D_mixed_covt + {'loss': '3.451', 'grad_norm': '8.135', 'learning_rate': '1.361e-06', 'epoch': '0.2913'} + 90%|████████████████████████████▊ | 8098/9000 [7:05:14<36:42, 2.44s/it] {'lm_loss': '0.4545', 'visual_loss': '2.661', 'seg_loss': '0.6581', 'dino_loss': '0.9101', 'depth_loss': '0.2581', 'vggt_mse_loss': '0.256', 'vggt_cos_loss': '0.02091', 'pidinet_loss': '0.2584', 'siglip_loss': '0.5764', 'epoch': '0.2913'} + 90%|████████████████████████████▊ | 8098/9000 [7:05:16<36:42, 2.44s/it][Dataset] cur_step=8099 phase=D_mixed_covt +[Dataset] cur_step=8099 phase=D_mixed_covt 90%|████████████████████████████▊ | 8099/9000 [7:05:16<37:23, 2.49s/it] +[Dataset] cur_step=8099 phase=D_mixed_covt[Dataset] cur_step=8099 phase=D_mixed_covt +[Dataset] cur_step=8099 phase=D_mixed_covt + +[Dataset] cur_step=8099 phase=D_mixed_covt +[Dataset] cur_step=8099 phase=D_mixed_covt +[Dataset] cur_step=8099 phase=D_mixed_covt + {'loss': '3.172', 'grad_norm': '2.796', 'learning_rate': '1.358e-06', 'epoch': '0.2914'} + 90%|████████████████████████████▊ | 8099/9000 [7:05:16<37:23, 2.49s/it] {'lm_loss': '0.8237', 'visual_loss': '2.978', 'seg_loss': '0.9153', 'dino_loss': '0.9058', 'depth_loss': '0.4667', 'vggt_mse_loss': '0.4626', 'vggt_cos_loss': '0.04132', 'pidinet_loss': '0.186', 'siglip_loss': '0.5045', 'epoch': '0.2914'} + 90%|████████████████████████████▊ | 8099/9000 [7:05:18<37:23, 2.49s/it][Dataset] cur_step=8100 phase=D_mixed_covt +[Dataset] cur_step=8100 phase=D_mixed_covt +[Dataset] cur_step=8100 phase=D_mixed_covt +[Dataset] cur_step=8100 phase=D_mixed_covt +[Dataset] cur_step=8100 phase=D_mixed_covt 90%|████████████████████████████▊ | 8100/9000 [7:05:19<35:14, 2.35s/it] +[Dataset] cur_step=8100 phase=D_mixed_covt +[Dataset] cur_step=8100 phase=D_mixed_covt +[Dataset] cur_step=8100 phase=D_mixed_covt + {'loss': '3.595', 'grad_norm': '3.032', 'learning_rate': '1.355e-06', 'epoch': '0.2914'} + 90%|████████████████████████████▊ | 8100/9000 [7:05:19<35:14, 2.35s/it] {'lm_loss': '0.9652', 'visual_loss': '3.122', 'seg_loss': '0.6752', 'dino_loss': '0.9243', 'depth_loss': '0.4628', 'vggt_mse_loss': '0.461', 'vggt_cos_loss': '0.01841', 'pidinet_loss': '0.2271', 'siglip_loss': '0.8325', 'epoch': '0.2914'} + 90%|████████████████████████████▊ | 8100/9000 [7:05:20<35:14, 2.35s/it][Dataset] cur_step=8101 phase=D_mixed_covt +[Dataset] cur_step=8101 phase=D_mixed_covt +[Dataset] cur_step=8101 phase=D_mixed_covt[Dataset] cur_step=8101 phase=D_mixed_covt[Dataset] cur_step=8101 phase=D_mixed_covt + + + 90%|████████████████████████████▊ | 8101/9000 [7:05:21<36:24, 2.43s/it][Dataset] cur_step=8101 phase=D_mixed_covt +[Dataset] cur_step=8101 phase=D_mixed_covt +[Dataset] cur_step=8101 phase=D_mixed_covt + {'loss': '3.383', 'grad_norm': '86.13', 'learning_rate': '1.352e-06', 'epoch': '0.2914'} + 90%|████████████████████████████▊ | 8101/9000 [7:05:21<36:24, 2.43s/it] {'lm_loss': '0.3558', 'visual_loss': '2.684', 'seg_loss': '0.726', 'dino_loss': '0.9058', 'depth_loss': '0.2863', 'vggt_mse_loss': '0.2849', 'vggt_cos_loss': '0.01449', 'pidinet_loss': '0.2057', 'siglip_loss': '0.5602', 'epoch': '0.2914'} + 90%|████████████████████████████▊ | 8101/9000 [7:05:24<36:24, 2.43s/it][Dataset] cur_step=8102 phase=D_mixed_covt +[Dataset] cur_step=8102 phase=D_mixed_covt +[Dataset] cur_step=8102 phase=D_mixed_covt +[Dataset] cur_step=8102 phase=D_mixed_covt +[Dataset] cur_step=8102 phase=D_mixed_covt[Dataset] cur_step=8102 phase=D_mixed_covt + + 90%|████████████████████████████▊ | 8102/9000 [7:05:27<50:01, 3.34s/it][Dataset] cur_step=8102 phase=D_mixed_covt +[Dataset] cur_step=8102 phase=D_mixed_covt + {'loss': '3.092', 'grad_norm': '5.049', 'learning_rate': '1.349e-06', 'epoch': '0.2915'} + 90%|████████████████████████████▊ | 8102/9000 [7:05:27<50:01, 3.34s/it] {'lm_loss': '1.073', 'visual_loss': '3.031', 'seg_loss': '0.8879', 'dino_loss': '0.8874', 'depth_loss': '0.1469', 'vggt_mse_loss': '0.1457', 'vggt_cos_loss': '0.01139', 'pidinet_loss': '0.2522', 'siglip_loss': '0.8563', 'epoch': '0.2915'} + 90%|████████████████████████████▊ | 8102/9000 [7:05:29<50:01, 3.34s/it][Dataset] cur_step=8103 phase=D_mixed_covt +[Dataset] cur_step=8103 phase=D_mixed_covt +[Dataset] cur_step=8103 phase=D_mixed_covt +[Dataset] cur_step=8103 phase=D_mixed_covt +[Dataset] cur_step=8103 phase=D_mixed_covt[Dataset] cur_step=8103 phase=D_mixed_covt + +[Dataset] cur_step=8103 phase=D_mixed_covt + 90%|████████████████████████████▊ | 8103/9000 [7:05:29<45:44, 3.06s/it][Dataset] cur_step=8103 phase=D_mixed_covt + {'loss': '3.515', 'grad_norm': '4.413', 'learning_rate': '1.346e-06', 'epoch': '0.2915'} + 90%|████████████████████████████▊ | 8103/9000 [7:05:29<45:44, 3.06s/it] {'lm_loss': '0.5454', 'visual_loss': '2.743', 'seg_loss': '0.8953', 'dino_loss': '0.8707', 'depth_loss': '0.1602', 'vggt_mse_loss': '0.1593', 'vggt_cos_loss': '0.008252', 'pidinet_loss': '0.2795', 'siglip_loss': '0.5376', 'epoch': '0.2915'} + 90%|████████████████████████████▊ | 8103/9000 [7:05:30<45:44, 3.06s/it][Dataset] cur_step=8104 phase=D_mixed_covt +[Dataset] cur_step=8104 phase=D_mixed_covt +[Dataset] cur_step=8104 phase=D_mixed_covt[Dataset] cur_step=8104 phase=D_mixed_covt + +[Dataset] cur_step=8104 phase=D_mixed_covt +[Dataset] cur_step=8104 phase=D_mixed_covt +[Dataset] cur_step=8104 phase=D_mixed_covt + 90%|████████████████████████████▊ | 8104/9000 [7:05:31<39:40, 2.66s/it][Dataset] cur_step=8104 phase=D_mixed_covt + {'loss': '3.191', 'grad_norm': '3.203', 'learning_rate': '1.343e-06', 'epoch': '0.2915'} + 90%|████████████████████████████▊ | 8104/9000 [7:05:31<39:40, 2.66s/it] {'lm_loss': '0.8622', 'visual_loss': '3.007', 'seg_loss': '0.7255', 'dino_loss': '0.9036', 'depth_loss': '0.3007', 'vggt_mse_loss': '0.2984', 'vggt_cos_loss': '0.02298', 'pidinet_loss': '0.2244', 'siglip_loss': '0.8527', 'epoch': '0.2915'} + 90%|████████████████████████████▊ | 8104/9000 [7:05:32<39:40, 2.66s/it][Dataset] cur_step=8105 phase=D_mixed_covt +[Dataset] cur_step=8105 phase=D_mixed_covt +[Dataset] cur_step=8105 phase=D_mixed_covt +[Dataset] cur_step=8105 phase=D_mixed_covt +[Dataset] cur_step=8105 phase=D_mixed_covt +[Dataset] cur_step=8105 phase=D_mixed_covt[Dataset] cur_step=8105 phase=D_mixed_covt + + 90%|████████████████████████████▊ | 8105/9000 [7:05:33<38:57, 2.61s/it][Dataset] cur_step=8105 phase=D_mixed_covt + {'loss': '3.236', 'grad_norm': '2.532', 'learning_rate': '1.34e-06', 'epoch': '0.2916'} + 90%|████████████████████████████▊ | 8105/9000 [7:05:33<38:57, 2.61s/it] {'lm_loss': '0.6681', 'visual_loss': '2.591', 'seg_loss': '0.9158', 'dino_loss': '0.9113', 'depth_loss': '0.2197', 'vggt_mse_loss': '0.2181', 'vggt_cos_loss': '0.01603', 'pidinet_loss': '0.1651', 'siglip_loss': '0.3795', 'epoch': '0.2916'} + 90%|████████████████████████████▊ | 8105/9000 [7:05:35<38:57, 2.61s/it][Dataset] cur_step=8106 phase=D_mixed_covt[Dataset] cur_step=8106 phase=D_mixed_covt + +[Dataset] cur_step=8106 phase=D_mixed_covt[Dataset] cur_step=8106 phase=D_mixed_covt[Dataset] cur_step=8106 phase=D_mixed_covt + + + 90%|████████████████████████████▊ | 8106/9000 [7:05:35<36:11, 2.43s/it][Dataset] cur_step=8106 phase=D_mixed_covt +[Dataset] cur_step=8106 phase=D_mixed_covt +[Dataset] cur_step=8106 phase=D_mixed_covt + {'loss': '3.38', 'grad_norm': '2.887', 'learning_rate': '1.337e-06', 'epoch': '0.2916'} + 90%|████████████████████████████▊ | 8106/9000 [7:05:35<36:11, 2.43s/it] {'lm_loss': '1.282', 'visual_loss': '2.944', 'seg_loss': '0.8274', 'dino_loss': '0.9204', 'depth_loss': '0.4143', 'vggt_mse_loss': '0.4107', 'vggt_cos_loss': '0.03692', 'pidinet_loss': '0.21', 'siglip_loss': '0.5715', 'epoch': '0.2916'} + 90%|████████████████████████████▊ | 8106/9000 [7:05:37<36:11, 2.43s/it][Dataset] cur_step=8107 phase=D_mixed_covt +[Dataset] cur_step=8107 phase=D_mixed_covt +[Dataset] cur_step=8107 phase=D_mixed_covt +[Dataset] cur_step=8107 phase=D_mixed_covt + 90%|████████████████████████████▊ | 8107/9000 [7:05:38<36:56, 2.48s/it][Dataset] cur_step=8107 phase=D_mixed_covt +[Dataset] cur_step=8107 phase=D_mixed_covt +[Dataset] cur_step=8107 phase=D_mixed_covt +[Dataset] cur_step=8107 phase=D_mixed_covt + {'loss': '3.319', 'grad_norm': '3.98', 'learning_rate': '1.334e-06', 'epoch': '0.2917'} + 90%|████████████████████████████▊ | 8107/9000 [7:05:38<36:56, 2.48s/it] {'lm_loss': '1.021', 'visual_loss': '2.672', 'seg_loss': '0.7054', 'dino_loss': '0.8327', 'depth_loss': '0.3054', 'vggt_mse_loss': '0.3032', 'vggt_cos_loss': '0.02186', 'pidinet_loss': '0.2076', 'siglip_loss': '0.6209', 'epoch': '0.2917'} + 90%|████████████████████████████▊ | 8107/9000 [7:05:40<36:56, 2.48s/it][Dataset] cur_step=8108 phase=D_mixed_covt + 90%|████████████████████████████▊ | 8108/9000 [7:05:40<36:58, 2.49s/it][Dataset] cur_step=8108 phase=D_mixed_covt +[Dataset] cur_step=8108 phase=D_mixed_covt +[Dataset] cur_step=8108 phase=D_mixed_covt +[Dataset] cur_step=8108 phase=D_mixed_covt[Dataset] cur_step=8108 phase=D_mixed_covt + +[Dataset] cur_step=8108 phase=D_mixed_covt +[Dataset] cur_step=8108 phase=D_mixed_covt + {'loss': '3.297', 'grad_norm': '3.212', 'learning_rate': '1.331e-06', 'epoch': '0.2917'} + 90%|████████████████████████████▊ | 8108/9000 [7:05:40<36:58, 2.49s/it] {'lm_loss': '0.8701', 'visual_loss': '2.482', 'seg_loss': '0.6003', 'dino_loss': '0.9089', 'depth_loss': '0.2095', 'vggt_mse_loss': '0.2081', 'vggt_cos_loss': '0.01367', 'pidinet_loss': '0.2324', 'siglip_loss': '0.5312', 'epoch': '0.2917'} + 90%|████████████████████████████▊ | 8108/9000 [7:05:43<36:58, 2.49s/it][Dataset] cur_step=8109 phase=D_mixed_covt +[Dataset] cur_step=8109 phase=D_mixed_covt + 90%|████████████████████████████▊ | 8109/9000 [7:05:43<37:29, 2.52s/it][Dataset] cur_step=8109 phase=D_mixed_covt +[Dataset] cur_step=8109 phase=D_mixed_covt +[Dataset] cur_step=8109 phase=D_mixed_covt +[Dataset] cur_step=8109 phase=D_mixed_covt +[Dataset] cur_step=8109 phase=D_mixed_covt +[Dataset] cur_step=8109 phase=D_mixed_covt + {'loss': '3.23', 'grad_norm': '4.648', 'learning_rate': '1.328e-06', 'epoch': '0.2917'} + 90%|████████████████████████████▊ | 8109/9000 [7:05:43<37:29, 2.52s/it] {'lm_loss': '0.6019', 'visual_loss': '2.013', 'seg_loss': '0.7361', 'dino_loss': '0.9296', 'depth_loss': '0.1647', 'vggt_mse_loss': '0.1636', 'vggt_cos_loss': '0.01073', 'pidinet_loss': '0.183', 'siglip_loss': '0', 'epoch': '0.2917'} + 90%|████████████████████████████▊ | 8109/9000 [7:05:45<37:29, 2.52s/it][Dataset] cur_step=8110 phase=D_mixed_covt +[Dataset] cur_step=8110 phase=D_mixed_covt + 90%|████████████████████████████▊ | 8110/9000 [7:05:46<37:52, 2.55s/it][Dataset] cur_step=8110 phase=D_mixed_covt[Dataset] cur_step=8110 phase=D_mixed_covt + +[Dataset] cur_step=8110 phase=D_mixed_covt +[Dataset] cur_step=8110 phase=D_mixed_covt[Dataset] cur_step=8110 phase=D_mixed_covt + +[Dataset] cur_step=8110 phase=D_mixed_covt + {'loss': '2.84', 'grad_norm': '2.721', 'learning_rate': '1.325e-06', 'epoch': '0.2918'} + 90%|████████████████████████████▊ | 8110/9000 [7:05:46<37:52, 2.55s/it] {'lm_loss': '0.8735', 'visual_loss': '2.843', 'seg_loss': '0.7958', 'dino_loss': '0.8815', 'depth_loss': '0.2837', 'vggt_mse_loss': '0.2815', 'vggt_cos_loss': '0.02179', 'pidinet_loss': '0', 'siglip_loss': '0.882', 'epoch': '0.2918'} + 90%|████████████████████████████▊ | 8110/9000 [7:05:47<37:52, 2.55s/it][Dataset] cur_step=8111 phase=D_mixed_covt +[Dataset] cur_step=8111 phase=D_mixed_covt[Dataset] cur_step=8111 phase=D_mixed_covt[Dataset] cur_step=8111 phase=D_mixed_covt + +[Dataset] cur_step=8111 phase=D_mixed_covt + + 90%|████████████████████████████▊ | 8111/9000 [7:05:47<35:00, 2.36s/it][Dataset] cur_step=8111 phase=D_mixed_covt +[Dataset] cur_step=8111 phase=D_mixed_covt +[Dataset] cur_step=8111 phase=D_mixed_covt + {'loss': '3.295', 'grad_norm': '3.831', 'learning_rate': '1.322e-06', 'epoch': '0.2918'} + 90%|████████████████████████████▊ | 8111/9000 [7:05:47<35:00, 2.36s/it] {'lm_loss': '0.8896', 'visual_loss': '2.661', 'seg_loss': '0.6755', 'dino_loss': '0.9296', 'depth_loss': '0.165', 'vggt_mse_loss': '0.1641', 'vggt_cos_loss': '0.009662', 'pidinet_loss': '0.2136', 'siglip_loss': '0.6774', 'epoch': '0.2918'} + 90%|████████████████████████████▊ | 8111/9000 [7:05:51<35:00, 2.36s/it][Dataset] cur_step=8112 phase=D_mixed_covt + 90%|████████████████████████████▊ | 8112/9000 [7:05:51<40:38, 2.75s/it][Dataset] cur_step=8112 phase=D_mixed_covt +[Dataset] cur_step=8112 phase=D_mixed_covt[Dataset] cur_step=8112 phase=D_mixed_covt + +[Dataset] cur_step=8112 phase=D_mixed_covt +[Dataset] cur_step=8112 phase=D_mixed_covt +[Dataset] cur_step=8112 phase=D_mixed_covt +[Dataset] cur_step=8112 phase=D_mixed_covt + {'loss': '3.555', 'grad_norm': '3.86', 'learning_rate': '1.319e-06', 'epoch': '0.2918'} + 90%|████████████████████████████▊ | 8112/9000 [7:05:51<40:38, 2.75s/it] {'lm_loss': '0.4828', 'visual_loss': '2.391', 'seg_loss': '0.6692', 'dino_loss': '0.8847', 'depth_loss': '0.1776', 'vggt_mse_loss': '0.1771', 'vggt_cos_loss': '0.005761', 'pidinet_loss': '0.0902', 'siglip_loss': '0.569', 'epoch': '0.2918'} + 90%|████████████████████████████▊ | 8112/9000 [7:05:54<40:38, 2.75s/it][Dataset] cur_step=8113 phase=D_mixed_covt +[Dataset] cur_step=8113 phase=D_mixed_covt + 90%|████████████████████████████▊ | 8113/9000 [7:05:54<43:11, 2.92s/it][Dataset] cur_step=8113 phase=D_mixed_covt +[Dataset] cur_step=8113 phase=D_mixed_covt +[Dataset] cur_step=8113 phase=D_mixed_covt +[Dataset] cur_step=8113 phase=D_mixed_covt +[Dataset] cur_step=8113 phase=D_mixed_covt +[Dataset] cur_step=8113 phase=D_mixed_covt + {'loss': '3.136', 'grad_norm': '3.176', 'learning_rate': '1.316e-06', 'epoch': '0.2919'} + 90%|████████████████████████████▊ | 8113/9000 [7:05:54<43:11, 2.92s/it] {'lm_loss': '0.6091', 'visual_loss': '2.962', 'seg_loss': '0.7326', 'dino_loss': '0.9588', 'depth_loss': '0.2615', 'vggt_mse_loss': '0.2594', 'vggt_cos_loss': '0.02134', 'pidinet_loss': '0.2752', 'siglip_loss': '0.7337', 'epoch': '0.2919'} + 90%|████████████████████████████▊ | 8113/9000 [7:05:56<43:11, 2.92s/it][Dataset] cur_step=8114 phase=D_mixed_covt +[Dataset] cur_step=8114 phase=D_mixed_covt +[Dataset] cur_step=8114 phase=D_mixed_covt[Dataset] cur_step=8114 phase=D_mixed_covt + +[Dataset] cur_step=8114 phase=D_mixed_covt +[Dataset] cur_step=8114 phase=D_mixed_covt + 90%|████████████████████████████▊ | 8114/9000 [7:05:57<41:59, 2.84s/it][Dataset] cur_step=8114 phase=D_mixed_covt +[Dataset] cur_step=8114 phase=D_mixed_covt + {'loss': '3.412', 'grad_norm': '2.763', 'learning_rate': '1.313e-06', 'epoch': '0.2919'} + 90%|████████████████████████████▊ | 8114/9000 [7:05:57<41:59, 2.84s/it] {'lm_loss': '0.9997', 'visual_loss': '2.783', 'seg_loss': '0.6993', 'dino_loss': '0.9194', 'depth_loss': '0.3385', 'vggt_mse_loss': '0.3369', 'vggt_cos_loss': '0.01653', 'pidinet_loss': '0.2069', 'siglip_loss': '0.6193', 'epoch': '0.2919'} + 90%|████████████████████████████▊ | 8114/9000 [7:05:59<41:59, 2.84s/it][Dataset] cur_step=8115 phase=D_mixed_covt + 90%|████████████████████████████▊ | 8115/9000 [7:06:00<40:28, 2.74s/it][Dataset] cur_step=8115 phase=D_mixed_covt +[Dataset] cur_step=8115 phase=D_mixed_covt +[Dataset] cur_step=8115 phase=D_mixed_covt +[Dataset] cur_step=8115 phase=D_mixed_covt +[Dataset] cur_step=8115 phase=D_mixed_covt +[Dataset] cur_step=8115 phase=D_mixed_covt +[Dataset] cur_step=8115 phase=D_mixed_covt + {'loss': '3.589', 'grad_norm': '4.375', 'learning_rate': '1.31e-06', 'epoch': '0.2919'} + 90%|████████████████████████████▊ | 8115/9000 [7:06:00<40:28, 2.74s/it] {'lm_loss': '0.8326', 'visual_loss': '2.824', 'seg_loss': '0.9403', 'dino_loss': '0.9012', 'depth_loss': '0.09834', 'vggt_mse_loss': '0.09766', 'vggt_cos_loss': '0.006786', 'pidinet_loss': '0.2505', 'siglip_loss': '0.6336', 'epoch': '0.2919'} + 90%|████████████████████████████▊ | 8115/9000 [7:06:01<40:28, 2.74s/it][Dataset] cur_step=8116 phase=D_mixed_covt +[Dataset] cur_step=8116 phase=D_mixed_covt +[Dataset] cur_step=8116 phase=D_mixed_covt +[Dataset] cur_step=8116 phase=D_mixed_covt 90%|████████████████████████████▊ | 8116/9000 [7:06:02<39:53, 2.71s/it] +[Dataset] cur_step=8116 phase=D_mixed_covt +[Dataset] cur_step=8116 phase=D_mixed_covt +[Dataset] cur_step=8116 phase=D_mixed_covt +[Dataset] cur_step=8116 phase=D_mixed_covt + {'loss': '3.541', 'grad_norm': '4.114', 'learning_rate': '1.307e-06', 'epoch': '0.292'} + 90%|████████████████████████████▊ | 8116/9000 [7:06:02<39:53, 2.71s/it] {'lm_loss': '0.7188', 'visual_loss': '2.674', 'seg_loss': '0.6792', 'dino_loss': '0.8867', 'depth_loss': '0.2567', 'vggt_mse_loss': '0.255', 'vggt_cos_loss': '0.01755', 'pidinet_loss': '0.2318', 'siglip_loss': '0.6196', 'epoch': '0.292'} + 90%|████████████████████████████▊ | 8116/9000 [7:06:05<39:53, 2.71s/it][Dataset] cur_step=8117 phase=D_mixed_covt +[Dataset] cur_step=8117 phase=D_mixed_covt 90%|████████████████████████████▊ | 8117/9000 [7:06:05<39:40, 2.70s/it] +[Dataset] cur_step=8117 phase=D_mixed_covt[Dataset] cur_step=8117 phase=D_mixed_covt + +[Dataset] cur_step=8117 phase=D_mixed_covt[Dataset] cur_step=8117 phase=D_mixed_covt + +[Dataset] cur_step=8117 phase=D_mixed_covt +[Dataset] cur_step=8117 phase=D_mixed_covt + {'loss': '3.077', 'grad_norm': '2.193', 'learning_rate': '1.304e-06', 'epoch': '0.292'} + 90%|████████████████████████████▊ | 8117/9000 [7:06:05<39:40, 2.70s/it] {'lm_loss': '0.5462', 'visual_loss': '2.698', 'seg_loss': '0.8882', 'dino_loss': '0.9237', 'depth_loss': '0.1867', 'vggt_mse_loss': '0.1854', 'vggt_cos_loss': '0.01249', 'pidinet_loss': '0.2258', 'siglip_loss': '0.4741', 'epoch': '0.292'} + 90%|████████████████████████████▊ | 8117/9000 [7:06:07<39:40, 2.70s/it][Dataset] cur_step=8118 phase=D_mixed_covt +[Dataset] cur_step=8118 phase=D_mixed_covt +[Dataset] cur_step=8118 phase=D_mixed_covt +[Dataset] cur_step=8118 phase=D_mixed_covt +[Dataset] cur_step=8118 phase=D_mixed_covt +[Dataset] cur_step=8118 phase=D_mixed_covt + 90%|████████████████████████████▊ | 8118/9000 [7:06:08<40:14, 2.74s/it][Dataset] cur_step=8118 phase=D_mixed_covt +[Dataset] cur_step=8118 phase=D_mixed_covt + {'loss': '3.345', 'grad_norm': '2.685', 'learning_rate': '1.301e-06', 'epoch': '0.292'} + 90%|████████████████████████████▊ | 8118/9000 [7:06:08<40:14, 2.74s/it] {'lm_loss': '0.7123', 'visual_loss': '2.647', 'seg_loss': '0.7298', 'dino_loss': '0.9459', 'depth_loss': '0.2577', 'vggt_mse_loss': '0.2558', 'vggt_cos_loss': '0.01873', 'pidinet_loss': '0.2326', 'siglip_loss': '0.4815', 'epoch': '0.292'} + 90%|████████████████████████████▊ | 8118/9000 [7:06:09<40:14, 2.74s/it][Dataset] cur_step=8119 phase=D_mixed_covt[Dataset] cur_step=8119 phase=D_mixed_covt + +[Dataset] cur_step=8119 phase=D_mixed_covt +[Dataset] cur_step=8119 phase=D_mixed_covt +[Dataset] cur_step=8119 phase=D_mixed_covt +[Dataset] cur_step=8119 phase=D_mixed_covt +[Dataset] cur_step=8119 phase=D_mixed_covt +[Dataset] cur_step=8119 phase=D_mixed_covt + 90%|████████████████████████████▊ | 8119/9000 [7:06:10<37:36, 2.56s/it] {'loss': '3.408', 'grad_norm': '5.613', 'learning_rate': '1.298e-06', 'epoch': '0.2921'} + 90%|████████████████████████████▊ | 8119/9000 [7:06:10<37:36, 2.56s/it] {'lm_loss': '1.16', 'visual_loss': '2.617', 'seg_loss': '0.6977', 'dino_loss': '0.8917', 'depth_loss': '0.1346', 'vggt_mse_loss': '0.1335', 'vggt_cos_loss': '0.01022', 'pidinet_loss': '0.2088', 'siglip_loss': '0.6843', 'epoch': '0.2921'} + 90%|████████████████████████████▊ | 8119/9000 [7:06:12<37:36, 2.56s/it][Dataset] cur_step=8120 phase=D_mixed_covt +[Dataset] cur_step=8120 phase=D_mixed_covt[Dataset] cur_step=8120 phase=D_mixed_covt + +[Dataset] cur_step=8120 phase=D_mixed_covt[Dataset] cur_step=8120 phase=D_mixed_covt + +[Dataset] cur_step=8120 phase=D_mixed_covt + 90%|████████████████████████████▊ | 8120/9000 [7:06:12<37:29, 2.56s/it][Dataset] cur_step=8120 phase=D_mixed_covt +[Dataset] cur_step=8120 phase=D_mixed_covt + {'loss': '3.126', 'grad_norm': '3.145', 'learning_rate': '1.296e-06', 'epoch': '0.2921'} + 90%|████████████████████████████▊ | 8120/9000 [7:06:12<37:29, 2.56s/it] {'lm_loss': '0.7398', 'visual_loss': '1.231', 'seg_loss': '0.7086', 'dino_loss': '0', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2442', 'siglip_loss': '0.2781', 'epoch': '0.2921'} + 90%|████████████████████████████▊ | 8120/9000 [7:06:15<37:29, 2.56s/it][Dataset] cur_step=8121 phase=D_mixed_covt +[Dataset] cur_step=8121 phase=D_mixed_covt +[Dataset] cur_step=8121 phase=D_mixed_covt +[Dataset] cur_step=8121 phase=D_mixed_covt +[Dataset] cur_step=8121 phase=D_mixed_covt[Dataset] cur_step=8121 phase=D_mixed_covt + +[Dataset] cur_step=8121 phase=D_mixed_covt + 90%|████████████████████████████▊ | 8121/9000 [7:06:16<39:58, 2.73s/it][Dataset] cur_step=8121 phase=D_mixed_covt + {'loss': '2.146', 'grad_norm': '3.019', 'learning_rate': '1.293e-06', 'epoch': '0.2922'} + 90%|████████████████████████████▊ | 8121/9000 [7:06:16<39:58, 2.73s/it] {'lm_loss': '0.07629', 'visual_loss': '2.301', 'seg_loss': '0.4955', 'dino_loss': '0.885', 'depth_loss': '0.1787', 'vggt_mse_loss': '0.1771', 'vggt_cos_loss': '0.01597', 'pidinet_loss': '0.2252', 'siglip_loss': '0.5161', 'epoch': '0.2922'} + 90%|████████████████████████████▊ | 8121/9000 [7:06:18<39:58, 2.73s/it][Dataset] cur_step=8122 phase=D_mixed_covt +[Dataset] cur_step=8122 phase=D_mixed_covt[Dataset] cur_step=8122 phase=D_mixed_covt[Dataset] cur_step=8122 phase=D_mixed_covt + +[Dataset] cur_step=8122 phase=D_mixed_covt +[Dataset] cur_step=8122 phase=D_mixed_covt +[Dataset] cur_step=8122 phase=D_mixed_covt + + 90%|████████████████████████████▉ | 8122/9000 [7:06:18<39:09, 2.68s/it][Dataset] cur_step=8122 phase=D_mixed_covt + {'loss': '3.046', 'grad_norm': '6.321', 'learning_rate': '1.29e-06', 'epoch': '0.2922'} + 90%|████████████████████████████▉ | 8122/9000 [7:06:18<39:09, 2.68s/it] {'lm_loss': '0.1641', 'visual_loss': '2.53', 'seg_loss': '0.7038', 'dino_loss': '0.9242', 'depth_loss': '0.3297', 'vggt_mse_loss': '0.3264', 'vggt_cos_loss': '0.03243', 'pidinet_loss': '0.21', 'siglip_loss': '0.3619', 'epoch': '0.2922'} + 90%|████████████████████████████▉ | 8122/9000 [7:06:20<39:09, 2.68s/it][Dataset] cur_step=8123 phase=D_mixed_covt[Dataset] cur_step=8123 phase=D_mixed_covt[Dataset] cur_step=8123 phase=D_mixed_covt + + +[Dataset] cur_step=8123 phase=D_mixed_covt 90%|████████████████████████████▉ | 8123/9000 [7:06:21<38:49, 2.66s/it] +[Dataset] cur_step=8123 phase=D_mixed_covt +[Dataset] cur_step=8123 phase=D_mixed_covt +[Dataset] cur_step=8123 phase=D_mixed_covt +[Dataset] cur_step=8123 phase=D_mixed_covt + {'loss': '3.423', 'grad_norm': '5.058', 'learning_rate': '1.287e-06', 'epoch': '0.2922'} + 90%|████████████████████████████▉ | 8123/9000 [7:06:21<38:49, 2.66s/it] {'lm_loss': '1.028', 'visual_loss': '2.511', 'seg_loss': '0', 'dino_loss': '0.9475', 'depth_loss': '0.6286', 'vggt_mse_loss': '0.6242', 'vggt_cos_loss': '0.04379', 'pidinet_loss': '0.2517', 'siglip_loss': '0.6831', 'epoch': '0.2922'} + 90%|████████████████████████████▉ | 8123/9000 [7:06:21<38:49, 2.66s/it][Dataset] cur_step=8124 phase=D_mixed_covt[Dataset] cur_step=8124 phase=D_mixed_covt + +[Dataset] cur_step=8124 phase=D_mixed_covt[Dataset] cur_step=8124 phase=D_mixed_covt + +[Dataset] cur_step=8124 phase=D_mixed_covt[Dataset] cur_step=8124 phase=D_mixed_covt 90%|████████████████████████████▉ | 8124/9000 [7:06:22<31:47, 2.18s/it] + +[Dataset] cur_step=8124 phase=D_mixed_covt +[Dataset] cur_step=8124 phase=D_mixed_covt + {'loss': '2.741', 'grad_norm': '3.528', 'learning_rate': '1.284e-06', 'epoch': '0.2923'} + 90%|████████████████████████████▉ | 8124/9000 [7:06:22<31:47, 2.18s/it] {'lm_loss': '0.09378', 'visual_loss': '2.788', 'seg_loss': '0.7233', 'dino_loss': '0.929', 'depth_loss': '0.2571', 'vggt_mse_loss': '0.255', 'vggt_cos_loss': '0.02099', 'pidinet_loss': '0.2635', 'siglip_loss': '0.615', 'epoch': '0.2923'} + 90%|████████████████████████████▉ | 8124/9000 [7:06:24<31:47, 2.18s/it][Dataset] cur_step=8125 phase=D_mixed_covt[Dataset] cur_step=8125 phase=D_mixed_covt +[Dataset] cur_step=8125 phase=D_mixed_covt + + 90%|████████████████████████████▉ | 8125/9000 [7:06:24<34:01, 2.33s/it][Dataset] cur_step=8125 phase=D_mixed_covt +[Dataset] cur_step=8125 phase=D_mixed_covt +[Dataset] cur_step=8125 phase=D_mixed_covt +[Dataset] cur_step=8125 phase=D_mixed_covt +[Dataset] cur_step=8125 phase=D_mixed_covt + {'loss': '3.218', 'grad_norm': '2.546', 'learning_rate': '1.281e-06', 'epoch': '0.2923'} + 90%|████████████████████████████▉ | 8125/9000 [7:06:24<34:01, 2.33s/it] {'lm_loss': '0.7846', 'visual_loss': '1.899', 'seg_loss': '0', 'dino_loss': '0.9145', 'depth_loss': '0.2274', 'vggt_mse_loss': '0.2259', 'vggt_cos_loss': '0.01483', 'pidinet_loss': '0.2941', 'siglip_loss': '0.4629', 'epoch': '0.2923'} + 90%|████████████████████████████▉ | 8125/9000 [7:06:25<34:01, 2.33s/it][Dataset] cur_step=8126 phase=D_mixed_covt +[Dataset] cur_step=8126 phase=D_mixed_covt[Dataset] cur_step=8126 phase=D_mixed_covt[Dataset] cur_step=8126 phase=D_mixed_covt + + +[Dataset] cur_step=8126 phase=D_mixed_covt +[Dataset] cur_step=8126 phase=D_mixed_covt + 90%|████████████████████████████▉ | 8126/9000 [7:06:26<29:15, 2.01s/it][Dataset] cur_step=8126 phase=D_mixed_covt +[Dataset] cur_step=8126 phase=D_mixed_covt + {'loss': '2.627', 'grad_norm': '2.848', 'learning_rate': '1.278e-06', 'epoch': '0.2923'} + 90%|████████████████████████████▉ | 8126/9000 [7:06:26<29:15, 2.01s/it] {'lm_loss': '0.5971', 'visual_loss': '1.673', 'seg_loss': '0.7431', 'dino_loss': '0', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.34', 'siglip_loss': '0.5899', 'epoch': '0.2923'} + 90%|████████████████████████████▉ | 8126/9000 [7:06:27<29:15, 2.01s/it][Dataset] cur_step=8127 phase=D_mixed_covt[Dataset] cur_step=8127 phase=D_mixed_covt + +[Dataset] cur_step=8127 phase=D_mixed_covt + 90%|████████████████████████████▉ | 8127/9000 [7:06:28<28:28, 1.96s/it][Dataset] cur_step=8127 phase=D_mixed_covt +[Dataset] cur_step=8127 phase=D_mixed_covt[Dataset] cur_step=8127 phase=D_mixed_covt + +[Dataset] cur_step=8127 phase=D_mixed_covt +[Dataset] cur_step=8127 phase=D_mixed_covt + {'loss': '2.305', 'grad_norm': '3.955', 'learning_rate': '1.275e-06', 'epoch': '0.2924'} + 90%|████████████████████████████▉ | 8127/9000 [7:06:28<28:28, 1.96s/it] {'lm_loss': '0.05204', 'visual_loss': '2.473', 'seg_loss': '0.7008', 'dino_loss': '0.9047', 'depth_loss': '0.2187', 'vggt_mse_loss': '0.2177', 'vggt_cos_loss': '0.01028', 'pidinet_loss': '0.2311', 'siglip_loss': '0.4178', 'epoch': '0.2924'} + 90%|████████████████████████████▉ | 8127/9000 [7:06:30<28:28, 1.96s/it][Dataset] cur_step=8128 phase=D_mixed_covt +[Dataset] cur_step=8128 phase=D_mixed_covt +[Dataset] cur_step=8128 phase=D_mixed_covt +[Dataset] cur_step=8128 phase=D_mixed_covt +[Dataset] cur_step=8128 phase=D_mixed_covt +[Dataset] cur_step=8128 phase=D_mixed_covt +[Dataset] cur_step=8128 phase=D_mixed_covt +[Dataset] cur_step=8128 phase=D_mixed_covt + 90%|████████████████████████████▉ | 8128/9000 [7:06:31<34:04, 2.34s/it] {'loss': '3.183', 'grad_norm': '2.911', 'learning_rate': '1.272e-06', 'epoch': '0.2924'} + 90%|████████████████████████████▉ | 8128/9000 [7:06:31<34:04, 2.34s/it] {'lm_loss': '0.5617', 'visual_loss': '2.656', 'seg_loss': '0.7974', 'dino_loss': '0.9339', 'depth_loss': '0.2846', 'vggt_mse_loss': '0.2826', 'vggt_cos_loss': '0.01998', 'pidinet_loss': '0', 'siglip_loss': '0.64', 'epoch': '0.2924'} + 90%|████████████████████████████▉ | 8128/9000 [7:06:32<34:04, 2.34s/it][Dataset] cur_step=8129 phase=D_mixed_covt[Dataset] cur_step=8129 phase=D_mixed_covt + +[Dataset] cur_step=8129 phase=D_mixed_covt[Dataset] cur_step=8129 phase=D_mixed_covt[Dataset] cur_step=8129 phase=D_mixed_covt + + + 90%|████████████████████████████▉ | 8129/9000 [7:06:33<31:40, 2.18s/it][Dataset] cur_step=8129 phase=D_mixed_covt +[Dataset] cur_step=8129 phase=D_mixed_covt +[Dataset] cur_step=8129 phase=D_mixed_covt + {'loss': '3.007', 'grad_norm': '3.081', 'learning_rate': '1.269e-06', 'epoch': '0.2924'} + 90%|████████████████████████████▉ | 8129/9000 [7:06:33<31:40, 2.18s/it] {'lm_loss': '1.044', 'visual_loss': '2.898', 'seg_loss': '0.7897', 'dino_loss': '0.8917', 'depth_loss': '0.3753', 'vggt_mse_loss': '0.3724', 'vggt_cos_loss': '0.02912', 'pidinet_loss': '0.2434', 'siglip_loss': '0.5982', 'epoch': '0.2924'} + 90%|████████████████████████████▉ | 8129/9000 [7:06:35<31:40, 2.18s/it][Dataset] cur_step=8130 phase=D_mixed_covt +[Dataset] cur_step=8130 phase=D_mixed_covt +[Dataset] cur_step=8130 phase=D_mixed_covt +[Dataset] cur_step=8130 phase=D_mixed_covt + 90%|████████████████████████████▉ | 8130/9000 [7:06:36<35:32, 2.45s/it][Dataset] cur_step=8130 phase=D_mixed_covt[Dataset] cur_step=8130 phase=D_mixed_covt + +[Dataset] cur_step=8130 phase=D_mixed_covt[Dataset] cur_step=8130 phase=D_mixed_covt + + {'loss': '3.251', 'grad_norm': '2.123', 'learning_rate': '1.267e-06', 'epoch': '0.2925'} + 90%|████████████████████████████▉ | 8130/9000 [7:06:36<35:32, 2.45s/it] {'lm_loss': '0.9257', 'visual_loss': '2.564', 'seg_loss': '0.7106', 'dino_loss': '0.9213', 'depth_loss': '0.2377', 'vggt_mse_loss': '0.2361', 'vggt_cos_loss': '0.01595', 'pidinet_loss': '0', 'siglip_loss': '0.694', 'epoch': '0.2925'} + 90%|████████████████████████████▉ | 8130/9000 [7:06:38<35:32, 2.45s/it][Dataset] cur_step=8131 phase=D_mixed_covt[Dataset] cur_step=8131 phase=D_mixed_covt + +[Dataset] cur_step=8131 phase=D_mixed_covt +[Dataset] cur_step=8131 phase=D_mixed_covt +[Dataset] cur_step=8131 phase=D_mixed_covt[Dataset] cur_step=8131 phase=D_mixed_covt + + 90%|████████████████████████████▉ | 8131/9000 [7:06:39<37:58, 2.62s/it][Dataset] cur_step=8131 phase=D_mixed_covt +[Dataset] cur_step=8131 phase=D_mixed_covt + {'loss': '3.162', 'grad_norm': '2.434', 'learning_rate': '1.264e-06', 'epoch': '0.2925'} + 90%|████████████████████████████▉ | 8131/9000 [7:06:39<37:58, 2.62s/it] {'lm_loss': '0.4873', 'visual_loss': '2.561', 'seg_loss': '0.5689', 'dino_loss': '0.9372', 'depth_loss': '0.3311', 'vggt_mse_loss': '0.3286', 'vggt_cos_loss': '0.02545', 'pidinet_loss': '0.2145', 'siglip_loss': '0.5097', 'epoch': '0.2925'} + 90%|████████████████████████████▉ | 8131/9000 [7:06:41<37:58, 2.62s/it][Dataset] cur_step=8132 phase=D_mixed_covt[Dataset] cur_step=8132 phase=D_mixed_covt + +[Dataset] cur_step=8132 phase=D_mixed_covt +[Dataset] cur_step=8132 phase=D_mixed_covt[Dataset] cur_step=8132 phase=D_mixed_covt + +[Dataset] cur_step=8132 phase=D_mixed_covt +[Dataset] cur_step=8132 phase=D_mixed_covt +[Dataset] cur_step=8132 phase=D_mixed_covt 90%|████████████████████████████▉ | 8132/9000 [7:06:41<38:06, 2.63s/it] + {'loss': '3.272', 'grad_norm': '2.964', 'learning_rate': '1.261e-06', 'epoch': '0.2925'} + 90%|████████████████████████████▉ | 8132/9000 [7:06:41<38:06, 2.63s/it] {'lm_loss': '1.186', 'visual_loss': '2.559', 'seg_loss': '0.9217', 'dino_loss': '0.9477', 'depth_loss': '0.2111', 'vggt_mse_loss': '0.2095', 'vggt_cos_loss': '0.01636', 'pidinet_loss': '0', 'siglip_loss': '0.478', 'epoch': '0.2925'} + 90%|████████████████████████████▉ | 8132/9000 [7:06:43<38:06, 2.63s/it][Dataset] cur_step=8133 phase=D_mixed_covt +[Dataset] cur_step=8133 phase=D_mixed_covt +[Dataset] cur_step=8133 phase=D_mixed_covt +[Dataset] cur_step=8133 phase=D_mixed_covt + 90%|████████████████████████████▉ | 8133/9000 [7:06:43<35:20, 2.45s/it][Dataset] cur_step=8133 phase=D_mixed_covt +[Dataset] cur_step=8133 phase=D_mixed_covt +[Dataset] cur_step=8133 phase=D_mixed_covt[Dataset] cur_step=8133 phase=D_mixed_covt + + {'loss': '3.112', 'grad_norm': '4.274', 'learning_rate': '1.258e-06', 'epoch': '0.2926'} + 90%|████████████████████████████▉ | 8133/9000 [7:06:43<35:20, 2.45s/it] {'lm_loss': '0.8185', 'visual_loss': '2.537', 'seg_loss': '0.6061', 'dino_loss': '0.9333', 'depth_loss': '0.2101', 'vggt_mse_loss': '0.2089', 'vggt_cos_loss': '0.01206', 'pidinet_loss': '0.2447', 'siglip_loss': '0.5425', 'epoch': '0.2926'} + 90%|████████████████████████████▉ | 8133/9000 [7:06:45<35:20, 2.45s/it][Dataset] cur_step=8134 phase=D_mixed_covt +[Dataset] cur_step=8134 phase=D_mixed_covt +[Dataset] cur_step=8134 phase=D_mixed_covt +[Dataset] cur_step=8134 phase=D_mixed_covt +[Dataset] cur_step=8134 phase=D_mixed_covt + 90%|████████████████████████████▉ | 8134/9000 [7:06:46<37:47, 2.62s/it][Dataset] cur_step=8134 phase=D_mixed_covt +[Dataset] cur_step=8134 phase=D_mixed_covt +[Dataset] cur_step=8134 phase=D_mixed_covt + {'loss': '3.402', 'grad_norm': '8.658', 'learning_rate': '1.255e-06', 'epoch': '0.2926'} + 90%|████████████████████████████▉ | 8134/9000 [7:06:46<37:47, 2.62s/it] {'lm_loss': '1.163', 'visual_loss': '2.308', 'seg_loss': '0.5597', 'dino_loss': '0.8749', 'depth_loss': '0.1428', 'vggt_mse_loss': '0.142', 'vggt_cos_loss': '0.007624', 'pidinet_loss': '0.2985', 'siglip_loss': '0.4326', 'epoch': '0.2926'} + 90%|████████████████████████████▉ | 8134/9000 [7:06:52<37:47, 2.62s/it][Dataset] cur_step=8135 phase=D_mixed_covt + 90%|████████████████████████████▉ | 8135/9000 [7:06:53<54:01, 3.75s/it][Dataset] cur_step=8135 phase=D_mixed_covt[Dataset] cur_step=8135 phase=D_mixed_covt + +[Dataset] cur_step=8135 phase=D_mixed_covt[Dataset] cur_step=8135 phase=D_mixed_covt +[Dataset] cur_step=8135 phase=D_mixed_covt + +[Dataset] cur_step=8135 phase=D_mixed_covt +[Dataset] cur_step=8135 phase=D_mixed_covt + {'loss': '3.14', 'grad_norm': '7.622', 'learning_rate': '1.252e-06', 'epoch': '0.2927'} + 90%|████████████████████████████▉ | 8135/9000 [7:06:53<54:01, 3.75s/it] {'lm_loss': '0.8217', 'visual_loss': '2.801', 'seg_loss': '0.7641', 'dino_loss': '0.894', 'depth_loss': '0.2128', 'vggt_mse_loss': '0.2112', 'vggt_cos_loss': '0.01519', 'pidinet_loss': '0.3297', 'siglip_loss': '0.6002', 'epoch': '0.2927'} + 90%|████████████████████████████▉ | 8135/9000 [7:06:55<54:01, 3.75s/it][Dataset] cur_step=8136 phase=D_mixed_covt +[Dataset] cur_step=8136 phase=D_mixed_covt +[Dataset] cur_step=8136 phase=D_mixed_covt +[Dataset] cur_step=8136 phase=D_mixed_covt +[Dataset] cur_step=8136 phase=D_mixed_covt +[Dataset] cur_step=8136 phase=D_mixed_covt +[Dataset] cur_step=8136 phase=D_mixed_covt + 90%|████████████████████████████▉ | 8136/9000 [7:06:56<49:38, 3.45s/it][Dataset] cur_step=8136 phase=D_mixed_covt + {'loss': '3.21', 'grad_norm': '3.951', 'learning_rate': '1.249e-06', 'epoch': '0.2927'} + 90%|████████████████████████████▉ | 8136/9000 [7:06:56<49:38, 3.45s/it] {'lm_loss': '0.5188', 'visual_loss': '2.824', 'seg_loss': '0.8172', 'dino_loss': '0.9175', 'depth_loss': '0.2584', 'vggt_mse_loss': '0.2564', 'vggt_cos_loss': '0.01978', 'pidinet_loss': '0.2104', 'siglip_loss': '0.6208', 'epoch': '0.2927'} + 90%|████████████████████████████▉ | 8136/9000 [7:06:57<49:38, 3.45s/it][Dataset] cur_step=8137 phase=D_mixed_covt +[Dataset] cur_step=8137 phase=D_mixed_covt +[Dataset] cur_step=8137 phase=D_mixed_covt +[Dataset] cur_step=8137 phase=D_mixed_covt[Dataset] cur_step=8137 phase=D_mixed_covt[Dataset] cur_step=8137 phase=D_mixed_covt + + +[Dataset] cur_step=8137 phase=D_mixed_covt + 90%|████████████████████████████▉ | 8137/9000 [7:06:58<45:24, 3.16s/it][Dataset] cur_step=8137 phase=D_mixed_covt + {'loss': '3.397', 'grad_norm': '2.549', 'learning_rate': '1.246e-06', 'epoch': '0.2927'} + 90%|████████████████████████████▉ | 8137/9000 [7:06:58<45:24, 3.16s/it] {'lm_loss': '0.5864', 'visual_loss': '2.417', 'seg_loss': '0.7145', 'dino_loss': '0.9411', 'depth_loss': '0.1842', 'vggt_mse_loss': '0.1827', 'vggt_cos_loss': '0.01421', 'pidinet_loss': '0', 'siglip_loss': '0.5769', 'epoch': '0.2927'} + 90%|████████████████████████████▉ | 8137/9000 [7:07:00<45:24, 3.16s/it][Dataset] cur_step=8138 phase=D_mixed_covt +[Dataset] cur_step=8138 phase=D_mixed_covt +[Dataset] cur_step=8138 phase=D_mixed_covt +[Dataset] cur_step=8138 phase=D_mixed_covt[Dataset] cur_step=8138 phase=D_mixed_covt + +[Dataset] cur_step=8138 phase=D_mixed_covt +[Dataset] cur_step=8138 phase=D_mixed_covt + 90%|████████████████████████████▉ | 8138/9000 [7:07:01<43:11, 3.01s/it][Dataset] cur_step=8138 phase=D_mixed_covt + {'loss': '2.857', 'grad_norm': '5.169', 'learning_rate': '1.244e-06', 'epoch': '0.2928'} + 90%|████████████████████████████▉ | 8138/9000 [7:07:01<43:11, 3.01s/it] {'lm_loss': '0.4972', 'visual_loss': '2.672', 'seg_loss': '0.7218', 'dino_loss': '0.9217', 'depth_loss': '0.2136', 'vggt_mse_loss': '0.2125', 'vggt_cos_loss': '0.0116', 'pidinet_loss': '0.236', 'siglip_loss': '0.5792', 'epoch': '0.2928'} + 90%|████████████████████████████▉ | 8138/9000 [7:07:03<43:11, 3.01s/it][Dataset] cur_step=8139 phase=D_mixed_covt[Dataset] cur_step=8139 phase=D_mixed_covt + +[Dataset] cur_step=8139 phase=D_mixed_covt[Dataset] cur_step=8139 phase=D_mixed_covt + +[Dataset] cur_step=8139 phase=D_mixed_covt +[Dataset] cur_step=8139 phase=D_mixed_covt +[Dataset] cur_step=8139 phase=D_mixed_covt + 90%|████████████████████████████▉ | 8139/9000 [7:07:04<43:05, 3.00s/it][Dataset] cur_step=8139 phase=D_mixed_covt + {'loss': '3.265', 'grad_norm': '10.57', 'learning_rate': '1.241e-06', 'epoch': '0.2928'} + 90%|████████████████████████████▉ | 8139/9000 [7:07:04<43:05, 3.00s/it] {'lm_loss': '0.4568', 'visual_loss': '2.448', 'seg_loss': '0.6281', 'dino_loss': '0.9175', 'depth_loss': '0.2202', 'vggt_mse_loss': '0.2185', 'vggt_cos_loss': '0.01652', 'pidinet_loss': '0.24', 'siglip_loss': '0.4425', 'epoch': '0.2928'} + 90%|████████████████████████████▉ | 8139/9000 [7:07:05<43:05, 3.00s/it][Dataset] cur_step=8140 phase=D_mixed_covt +[Dataset] cur_step=8140 phase=D_mixed_covt[Dataset] cur_step=8140 phase=D_mixed_covt[Dataset] cur_step=8140 phase=D_mixed_covt + + +[Dataset] cur_step=8140 phase=D_mixed_covt +[Dataset] cur_step=8140 phase=D_mixed_covt + 90%|████████████████████████████▉ | 8140/9000 [7:07:06<38:20, 2.67s/it][Dataset] cur_step=8140 phase=D_mixed_covt +[Dataset] cur_step=8140 phase=D_mixed_covt + {'loss': '3.48', 'grad_norm': '6.711', 'learning_rate': '1.238e-06', 'epoch': '0.2928'} + 90%|████████████████████████████▉ | 8140/9000 [7:07:06<38:20, 2.67s/it] {'lm_loss': '0.7246', 'visual_loss': '2.764', 'seg_loss': '0.815', 'dino_loss': '0.9284', 'depth_loss': '0.231', 'vggt_mse_loss': '0.2292', 'vggt_cos_loss': '0.01781', 'pidinet_loss': '0.2598', 'siglip_loss': '0.5294', 'epoch': '0.2928'} + 90%|████████████████████████████▉ | 8140/9000 [7:07:08<38:20, 2.67s/it][Dataset] cur_step=8141 phase=D_mixed_covt +[Dataset] cur_step=8141 phase=D_mixed_covt[Dataset] cur_step=8141 phase=D_mixed_covt + +[Dataset] cur_step=8141 phase=D_mixed_covt +[Dataset] cur_step=8141 phase=D_mixed_covt[Dataset] cur_step=8141 phase=D_mixed_covt + + 90%|████████████████████████████▉ | 8141/9000 [7:07:09<40:49, 2.85s/it][Dataset] cur_step=8141 phase=D_mixed_covt +[Dataset] cur_step=8141 phase=D_mixed_covt + {'loss': '3.299', 'grad_norm': '64.17', 'learning_rate': '1.235e-06', 'epoch': '0.2929'} + 90%|████████████████████████████▉ | 8141/9000 [7:07:09<40:49, 2.85s/it] {'lm_loss': '0.4055', 'visual_loss': '2.485', 'seg_loss': '0.6813', 'dino_loss': '0.9176', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.1884', 'siglip_loss': '0.6981', 'epoch': '0.2929'} + 90%|████████████████████████████▉ | 8141/9000 [7:07:11<40:49, 2.85s/it][Dataset] cur_step=8142 phase=D_mixed_covt +[Dataset] cur_step=8142 phase=D_mixed_covt[Dataset] cur_step=8142 phase=D_mixed_covt + +[Dataset] cur_step=8142 phase=D_mixed_covt[Dataset] cur_step=8142 phase=D_mixed_covt +[Dataset] cur_step=8142 phase=D_mixed_covt +[Dataset] cur_step=8142 phase=D_mixed_covt + + 90%|████████████████████████████▉ | 8142/9000 [7:07:12<42:21, 2.96s/it][Dataset] cur_step=8142 phase=D_mixed_covt + {'loss': '3.006', 'grad_norm': '2.223', 'learning_rate': '1.232e-06', 'epoch': '0.2929'} + 90%|████████████████████████████▉ | 8142/9000 [7:07:12<42:21, 2.96s/it] {'lm_loss': '0.1028', 'visual_loss': '2.329', 'seg_loss': '0.4815', 'dino_loss': '0.9172', 'depth_loss': '0.1426', 'vggt_mse_loss': '0.142', 'vggt_cos_loss': '0.006357', 'pidinet_loss': '0.2303', 'siglip_loss': '0.5571', 'epoch': '0.2929'} + 90%|████████████████████████████▉ | 8142/9000 [7:07:13<42:21, 2.96s/it][Dataset] cur_step=8143 phase=D_mixed_covt +[Dataset] cur_step=8143 phase=D_mixed_covt +[Dataset] cur_step=8143 phase=D_mixed_covt +[Dataset] cur_step=8143 phase=D_mixed_covt +[Dataset] cur_step=8143 phase=D_mixed_covt +[Dataset] cur_step=8143 phase=D_mixed_covt +[Dataset] cur_step=8143 phase=D_mixed_covt + 90%|████████████████████████████▉ | 8143/9000 [7:07:14<37:18, 2.61s/it][Dataset] cur_step=8143 phase=D_mixed_covt + {'loss': '3.139', 'grad_norm': '3.835', 'learning_rate': '1.229e-06', 'epoch': '0.2929'} + 90%|████████████████████████████▉ | 8143/9000 [7:07:14<37:18, 2.61s/it] {'lm_loss': '0.7085', 'visual_loss': '2.752', 'seg_loss': '0.7275', 'dino_loss': '0.9257', 'depth_loss': '0.2712', 'vggt_mse_loss': '0.2685', 'vggt_cos_loss': '0.02704', 'pidinet_loss': '0.2549', 'siglip_loss': '0.5726', 'epoch': '0.2929'} + 90%|████████████████████████████▉ | 8143/9000 [7:07:16<37:18, 2.61s/it][Dataset] cur_step=8144 phase=D_mixed_covt +[Dataset] cur_step=8144 phase=D_mixed_covt +[Dataset] cur_step=8144 phase=D_mixed_covt +[Dataset] cur_step=8144 phase=D_mixed_covt[Dataset] cur_step=8144 phase=D_mixed_covt + +[Dataset] cur_step=8144 phase=D_mixed_covt +[Dataset] cur_step=8144 phase=D_mixed_covt + 90%|████████████████████████████▉ | 8144/9000 [7:07:17<38:33, 2.70s/it][Dataset] cur_step=8144 phase=D_mixed_covt + {'loss': '3.378', 'grad_norm': '8.44', 'learning_rate': '1.226e-06', 'epoch': '0.293'} + 90%|████████████████████████████▉ | 8144/9000 [7:07:17<38:33, 2.70s/it] {'lm_loss': '0.6796', 'visual_loss': '2.221', 'seg_loss': '0.5381', 'dino_loss': '0.8482', 'depth_loss': '0.1895', 'vggt_mse_loss': '0.1882', 'vggt_cos_loss': '0.0138', 'pidinet_loss': '0.2313', 'siglip_loss': '0.4139', 'epoch': '0.293'} + 90%|████████████████████████████▉ | 8144/9000 [7:07:19<38:33, 2.70s/it][Dataset] cur_step=8145 phase=D_mixed_covt[Dataset] cur_step=8145 phase=D_mixed_covt + +[Dataset] cur_step=8145 phase=D_mixed_covt[Dataset] cur_step=8145 phase=D_mixed_covt[Dataset] cur_step=8145 phase=D_mixed_covt +[Dataset] cur_step=8145 phase=D_mixed_covt 90%|████████████████████████████▉ | 8145/9000 [7:07:20<39:46, 2.79s/it] + + +[Dataset] cur_step=8145 phase=D_mixed_covt +[Dataset] cur_step=8145 phase=D_mixed_covt + {'loss': '3.504', 'grad_norm': '2.876', 'learning_rate': '1.224e-06', 'epoch': '0.293'} + 90%|████████████████████████████▉ | 8145/9000 [7:07:20<39:46, 2.79s/it] {'lm_loss': '0.7792', 'visual_loss': '2.804', 'seg_loss': '0.7165', 'dino_loss': '0.9206', 'depth_loss': '0.2133', 'vggt_mse_loss': '0.2118', 'vggt_cos_loss': '0.0151', 'pidinet_loss': '0.2221', 'siglip_loss': '0.7311', 'epoch': '0.293'} + 90%|████████████████████████████▉ | 8145/9000 [7:07:22<39:46, 2.79s/it][Dataset] cur_step=8146 phase=D_mixed_covt[Dataset] cur_step=8146 phase=D_mixed_covt + +[Dataset] cur_step=8146 phase=D_mixed_covt +[Dataset] cur_step=8146 phase=D_mixed_covt +[Dataset] cur_step=8146 phase=D_mixed_covt +[Dataset] cur_step=8146 phase=D_mixed_covt +[Dataset] cur_step=8146 phase=D_mixed_covt + 91%|████████████████████████████▉ | 8146/9000 [7:07:23<41:26, 2.91s/it][Dataset] cur_step=8146 phase=D_mixed_covt + {'loss': '3.28', 'grad_norm': '1.967', 'learning_rate': '1.221e-06', 'epoch': '0.2931'} + 91%|████████████████████████████▉ | 8146/9000 [7:07:23<41:26, 2.91s/it] {'lm_loss': '0.5363', 'visual_loss': '2.396', 'seg_loss': '0.6441', 'dino_loss': '0.904', 'depth_loss': '0.2444', 'vggt_mse_loss': '0.2428', 'vggt_cos_loss': '0.01639', 'pidinet_loss': '0.2107', 'siglip_loss': '0.3932', 'epoch': '0.2931'} + 91%|████████████████████████████▉ | 8146/9000 [7:07:26<41:26, 2.91s/it][Dataset] cur_step=8147 phase=D_mixed_covt +[Dataset] cur_step=8147 phase=D_mixed_covt +[Dataset] cur_step=8147 phase=D_mixed_covt +[Dataset] cur_step=8147 phase=D_mixed_covt +[Dataset] cur_step=8147 phase=D_mixed_covt[Dataset] cur_step=8147 phase=D_mixed_covt + +[Dataset] cur_step=8147 phase=D_mixed_covt + 91%|████████████████████████████▉ | 8147/9000 [7:07:27<45:13, 3.18s/it][Dataset] cur_step=8147 phase=D_mixed_covt + {'loss': '3.204', 'grad_norm': '2.195', 'learning_rate': '1.218e-06', 'epoch': '0.2931'} + 91%|████████████████████████████▉ | 8147/9000 [7:07:27<45:13, 3.18s/it] {'lm_loss': '0.668', 'visual_loss': '2.457', 'seg_loss': '0.6457', 'dino_loss': '0.8916', 'depth_loss': '0.2019', 'vggt_mse_loss': '0.2005', 'vggt_cos_loss': '0.01432', 'pidinet_loss': '0.1927', 'siglip_loss': '0.5247', 'epoch': '0.2931'} + 91%|████████████████████████████▉ | 8147/9000 [7:07:29<45:13, 3.18s/it][Dataset] cur_step=8148 phase=D_mixed_covt +[Dataset] cur_step=8148 phase=D_mixed_covt +[Dataset] cur_step=8148 phase=D_mixed_covt[Dataset] cur_step=8148 phase=D_mixed_covt + +[Dataset] cur_step=8148 phase=D_mixed_covt + 91%|███████████████████████████▏ | 8148/9000 [7:07:34<1:01:58, 4.36s/it][Dataset] cur_step=8148 phase=D_mixed_covt +[Dataset] cur_step=8148 phase=D_mixed_covt +[Dataset] cur_step=8148 phase=D_mixed_covt + {'loss': '3.433', 'grad_norm': '3.484', 'learning_rate': '1.215e-06', 'epoch': '0.2931'} + 91%|███████████████████████████▏ | 8148/9000 [7:07:34<1:01:58, 4.36s/it] {'lm_loss': '0.9601', 'visual_loss': '1.942', 'seg_loss': '0', 'dino_loss': '0.8925', 'depth_loss': '0.2607', 'vggt_mse_loss': '0.2581', 'vggt_cos_loss': '0.02545', 'pidinet_loss': '0.2261', 'siglip_loss': '0.5627', 'epoch': '0.2931'} + 91%|███████████████████████████▏ | 8148/9000 [7:07:35<1:01:58, 4.36s/it][Dataset] cur_step=8149 phase=D_mixed_covt +[Dataset] cur_step=8149 phase=D_mixed_covt[Dataset] cur_step=8149 phase=D_mixed_covt + +[Dataset] cur_step=8149 phase=D_mixed_covt +[Dataset] cur_step=8149 phase=D_mixed_covt[Dataset] cur_step=8149 phase=D_mixed_covt + +[Dataset] cur_step=8149 phase=D_mixed_covt +[Dataset] cur_step=8149 phase=D_mixed_covt + 91%|████████████████████████████▉ | 8149/9000 [7:07:35<48:15, 3.40s/it] {'loss': '2.391', 'grad_norm': '3.219', 'learning_rate': '1.212e-06', 'epoch': '0.2932'} + 91%|████████████████████████████▉ | 8149/9000 [7:07:35<48:15, 3.40s/it] {'lm_loss': '1.106', 'visual_loss': '3.207', 'seg_loss': '0.8799', 'dino_loss': '0.9137', 'depth_loss': '0.3475', 'vggt_mse_loss': '0.3444', 'vggt_cos_loss': '0.0303', 'pidinet_loss': '0.2271', 'siglip_loss': '0.8387', 'epoch': '0.2932'} + 91%|████████████████████████████▉ | 8149/9000 [7:07:36<48:15, 3.40s/it][Dataset] cur_step=8150 phase=D_mixed_covt[Dataset] cur_step=8150 phase=D_mixed_covt + +[Dataset] cur_step=8150 phase=D_mixed_covt + 91%|████████████████████████████▉ | 8150/9000 [7:07:37<42:40, 3.01s/it][Dataset] cur_step=8150 phase=D_mixed_covt +[Dataset] cur_step=8150 phase=D_mixed_covt[Dataset] cur_step=8150 phase=D_mixed_covt + +[Dataset] cur_step=8150 phase=D_mixed_covt +[Dataset] cur_step=8150 phase=D_mixed_covt + {'loss': '3.376', 'grad_norm': '4.195', 'learning_rate': '1.209e-06', 'epoch': '0.2932'} + 91%|████████████████████████████▉ | 8150/9000 [7:07:37<42:40, 3.01s/it] {'lm_loss': '0.4901', 'visual_loss': '2.427', 'seg_loss': '0.7109', 'dino_loss': '0.8923', 'depth_loss': '0.2328', 'vggt_mse_loss': '0.2309', 'vggt_cos_loss': '0.01913', 'pidinet_loss': '0', 'siglip_loss': '0.5913', 'epoch': '0.2932'} + 91%|████████████████████████████▉ | 8150/9000 [7:07:40<42:40, 3.01s/it][Dataset] cur_step=8151 phase=D_mixed_covt +[Dataset] cur_step=8151 phase=D_mixed_covt +[Dataset] cur_step=8151 phase=D_mixed_covt[Dataset] cur_step=8151 phase=D_mixed_covt[Dataset] cur_step=8151 phase=D_mixed_covt[Dataset] cur_step=8151 phase=D_mixed_covt + + + +[Dataset] cur_step=8151 phase=D_mixed_covt +[Dataset] cur_step=8151 phase=D_mixed_covt + 91%|████████████████████████████▉ | 8151/9000 [7:07:40<43:15, 3.06s/it] {'loss': '3.407', 'grad_norm': '10.82', 'learning_rate': '1.207e-06', 'epoch': '0.2932'} + 91%|████████████████████████████▉ | 8151/9000 [7:07:40<43:15, 3.06s/it] {'lm_loss': '0.3703', 'visual_loss': '2.358', 'seg_loss': '0.6147', 'dino_loss': '0.905', 'depth_loss': '0.1832', 'vggt_mse_loss': '0.1818', 'vggt_cos_loss': '0.01394', 'pidinet_loss': '0.2478', 'siglip_loss': '0.4072', 'epoch': '0.2932'} + 91%|████████████████████████████▉ | 8151/9000 [7:07:42<43:15, 3.06s/it][Dataset] cur_step=8152 phase=D_mixed_covt +[Dataset] cur_step=8152 phase=D_mixed_covt +[Dataset] cur_step=8152 phase=D_mixed_covt +[Dataset] cur_step=8152 phase=D_mixed_covt +[Dataset] cur_step=8152 phase=D_mixed_covt[Dataset] cur_step=8152 phase=D_mixed_covt + +[Dataset] cur_step=8152 phase=D_mixed_covt +[Dataset] cur_step=8152 phase=D_mixed_covt + 91%|████████████████████████████▉ | 8152/9000 [7:07:43<41:57, 2.97s/it] {'loss': '3.197', 'grad_norm': '3.411', 'learning_rate': '1.204e-06', 'epoch': '0.2933'} + 91%|████████████████████████████▉ | 8152/9000 [7:07:43<41:57, 2.97s/it] {'lm_loss': '0.5128', 'visual_loss': '2.737', 'seg_loss': '0.7561', 'dino_loss': '0.8795', 'depth_loss': '0.2313', 'vggt_mse_loss': '0.229', 'vggt_cos_loss': '0.02241', 'pidinet_loss': '0.2423', 'siglip_loss': '0.6278', 'epoch': '0.2933'} + 91%|████████████████████████████▉ | 8152/9000 [7:07:45<41:57, 2.97s/it][Dataset] cur_step=8153 phase=D_mixed_covt[Dataset] cur_step=8153 phase=D_mixed_covt + +[Dataset] cur_step=8153 phase=D_mixed_covt +[Dataset] cur_step=8153 phase=D_mixed_covt +[Dataset] cur_step=8153 phase=D_mixed_covt +[Dataset] cur_step=8153 phase=D_mixed_covt +[Dataset] cur_step=8153 phase=D_mixed_covt +[Dataset] cur_step=8153 phase=D_mixed_covt + 91%|████████████████████████████▉ | 8153/9000 [7:07:46<41:51, 2.96s/it] {'loss': '2.83', 'grad_norm': '2.166', 'learning_rate': '1.201e-06', 'epoch': '0.2933'} + 91%|████████████████████████████▉ | 8153/9000 [7:07:46<41:51, 2.96s/it] {'lm_loss': '0.5514', 'visual_loss': '2.49', 'seg_loss': '0.5634', 'dino_loss': '0.9018', 'depth_loss': '0.1981', 'vggt_mse_loss': '0.1966', 'vggt_cos_loss': '0.01468', 'pidinet_loss': '0.1824', 'siglip_loss': '0.6448', 'epoch': '0.2933'} + 91%|████████████████████████████▉ | 8153/9000 [7:07:50<41:51, 2.96s/it][Dataset] cur_step=8154 phase=D_mixed_covt +[Dataset] cur_step=8154 phase=D_mixed_covt +[Dataset] cur_step=8154 phase=D_mixed_covt +[Dataset] cur_step=8154 phase=D_mixed_covt[Dataset] cur_step=8154 phase=D_mixed_covt + + 91%|████████████████████████████▉ | 8154/9000 [7:07:50<46:05, 3.27s/it][Dataset] cur_step=8154 phase=D_mixed_covt[Dataset] cur_step=8154 phase=D_mixed_covt + +[Dataset] cur_step=8154 phase=D_mixed_covt + {'loss': '2.947', 'grad_norm': '2.634', 'learning_rate': '1.198e-06', 'epoch': '0.2933'} + 91%|████████████████████████████▉ | 8154/9000 [7:07:50<46:05, 3.27s/it] {'lm_loss': '0.6128', 'visual_loss': '2.957', 'seg_loss': '0.9519', 'dino_loss': '0.9427', 'depth_loss': '0.266', 'vggt_mse_loss': '0.2644', 'vggt_cos_loss': '0.01673', 'pidinet_loss': '0.2074', 'siglip_loss': '0.5888', 'epoch': '0.2933'} + 91%|████████████████████████████▉ | 8154/9000 [7:07:51<46:05, 3.27s/it][Dataset] cur_step=8155 phase=D_mixed_covt[Dataset] cur_step=8155 phase=D_mixed_covt + +[Dataset] cur_step=8155 phase=D_mixed_covt +[Dataset] cur_step=8155 phase=D_mixed_covt +[Dataset] cur_step=8155 phase=D_mixed_covt +[Dataset] cur_step=8155 phase=D_mixed_covt +[Dataset] cur_step=8155 phase=D_mixed_covt +[Dataset] cur_step=8155 phase=D_mixed_covt + 91%|████████████████████████████▉ | 8155/9000 [7:07:52<40:44, 2.89s/it] {'loss': '3.336', 'grad_norm': '7.203', 'learning_rate': '1.195e-06', 'epoch': '0.2934'} + 91%|████████████████████████████▉ | 8155/9000 [7:07:52<40:44, 2.89s/it] {'lm_loss': '1.488', 'visual_loss': '2.007', 'seg_loss': '0.6603', 'dino_loss': '0.8108', 'depth_loss': '0.2465', 'vggt_mse_loss': '0.2451', 'vggt_cos_loss': '0.01413', 'pidinet_loss': '0.2895', 'siglip_loss': '0', 'epoch': '0.2934'} + 91%|████████████████████████████▉ | 8155/9000 [7:07:54<40:44, 2.89s/it][Dataset] cur_step=8156 phase=D_mixed_covt +[Dataset] cur_step=8156 phase=D_mixed_covt[Dataset] cur_step=8156 phase=D_mixed_covt + +[Dataset] cur_step=8156 phase=D_mixed_covt +[Dataset] cur_step=8156 phase=D_mixed_covt +[Dataset] cur_step=8156 phase=D_mixed_covt +[Dataset] cur_step=8156 phase=D_mixed_covt +[Dataset] cur_step=8156 phase=D_mixed_covt + 91%|████████████████████████████▉ | 8156/9000 [7:07:54<36:55, 2.63s/it] {'loss': '2.972', 'grad_norm': '19.79', 'learning_rate': '1.193e-06', 'epoch': '0.2934'} + 91%|████████████████████████████▉ | 8156/9000 [7:07:54<36:55, 2.63s/it] {'lm_loss': '0.1399', 'visual_loss': '2.52', 'seg_loss': '0.7271', 'dino_loss': '0.9081', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2778', 'siglip_loss': '0.6075', 'epoch': '0.2934'} + 91%|████████████████████████████▉ | 8156/9000 [7:07:56<36:55, 2.63s/it][Dataset] cur_step=8157 phase=D_mixed_covt +[Dataset] cur_step=8157 phase=D_mixed_covt[Dataset] cur_step=8157 phase=D_mixed_covt + +[Dataset] cur_step=8157 phase=D_mixed_covt +[Dataset] cur_step=8157 phase=D_mixed_covt +[Dataset] cur_step=8157 phase=D_mixed_covt + 91%|█████████████████████████████ | 8157/9000 [7:07:57<37:23, 2.66s/it][Dataset] cur_step=8157 phase=D_mixed_covt[Dataset] cur_step=8157 phase=D_mixed_covt + + {'loss': '2.979', 'grad_norm': '2.449', 'learning_rate': '1.19e-06', 'epoch': '0.2934'} + 91%|█████████████████████████████ | 8157/9000 [7:07:57<37:23, 2.66s/it] {'lm_loss': '0.9984', 'visual_loss': '2.866', 'seg_loss': '0.7067', 'dino_loss': '0.914', 'depth_loss': '0.1566', 'vggt_mse_loss': '0.1554', 'vggt_cos_loss': '0.01143', 'pidinet_loss': '0.238', 'siglip_loss': '0.8509', 'epoch': '0.2934'} + 91%|█████████████████████████████ | 8157/9000 [7:08:00<37:23, 2.66s/it][Dataset] cur_step=8158 phase=D_mixed_covt +[Dataset] cur_step=8158 phase=D_mixed_covt +[Dataset] cur_step=8158 phase=D_mixed_covt +[Dataset] cur_step=8158 phase=D_mixed_covt +[Dataset] cur_step=8158 phase=D_mixed_covt + 91%|█████████████████████████████ | 8158/9000 [7:08:02<49:05, 3.50s/it][Dataset] cur_step=8158 phase=D_mixed_covt +[Dataset] cur_step=8158 phase=D_mixed_covt +[Dataset] cur_step=8158 phase=D_mixed_covt + {'loss': '3.52', 'grad_norm': '2.044', 'learning_rate': '1.187e-06', 'epoch': '0.2935'} + 91%|█████████████████████████████ | 8158/9000 [7:08:02<49:05, 3.50s/it] {'lm_loss': '0.7803', 'visual_loss': '2.232', 'seg_loss': '0', 'dino_loss': '0.9177', 'depth_loss': '0.6427', 'vggt_mse_loss': '0.6357', 'vggt_cos_loss': '0.07044', 'pidinet_loss': '0.2457', 'siglip_loss': '0.4258', 'epoch': '0.2935'} + 91%|█████████████████████████████ | 8158/9000 [7:08:03<49:05, 3.50s/it][Dataset] cur_step=8159 phase=D_mixed_covt +[Dataset] cur_step=8159 phase=D_mixed_covt +[Dataset] cur_step=8159 phase=D_mixed_covt +[Dataset] cur_step=8159 phase=D_mixed_covt +[Dataset] cur_step=8159 phase=D_mixed_covt[Dataset] cur_step=8159 phase=D_mixed_covt + + 91%|█████████████████████████████ | 8159/9000 [7:08:03<38:39, 2.76s/it][Dataset] cur_step=8159 phase=D_mixed_covt +[Dataset] cur_step=8159 phase=D_mixed_covt + {'loss': '2.425', 'grad_norm': '3.222', 'learning_rate': '1.184e-06', 'epoch': '0.2935'} + 91%|█████████████████████████████ | 8159/9000 [7:08:03<38:39, 2.76s/it] {'lm_loss': '0.588', 'visual_loss': '2.608', 'seg_loss': '0.7584', 'dino_loss': '0.9196', 'depth_loss': '0.2751', 'vggt_mse_loss': '0.2739', 'vggt_cos_loss': '0.01235', 'pidinet_loss': '0.2099', 'siglip_loss': '0.445', 'epoch': '0.2935'} + 91%|█████████████████████████████ | 8159/9000 [7:08:06<38:39, 2.76s/it][Dataset] cur_step=8160 phase=D_mixed_covt +[Dataset] cur_step=8160 phase=D_mixed_covt[Dataset] cur_step=8160 phase=D_mixed_covt + +[Dataset] cur_step=8160 phase=D_mixed_covt +[Dataset] cur_step=8160 phase=D_mixed_covt[Dataset] cur_step=8160 phase=D_mixed_covt + +[Dataset] cur_step=8160 phase=D_mixed_covt +[Dataset] cur_step=8160 phase=D_mixed_covt + 91%|█████████████████████████████ | 8160/9000 [7:08:07<44:11, 3.16s/it] {'loss': '3.384', 'grad_norm': '2.551', 'learning_rate': '1.181e-06', 'epoch': '0.2936'} + 91%|█████████████████████████████ | 8160/9000 [7:08:07<44:11, 3.16s/it] {'lm_loss': '1.329', 'visual_loss': '1.947', 'seg_loss': '0', 'dino_loss': '0.9043', 'depth_loss': '0.1793', 'vggt_mse_loss': '0.1785', 'vggt_cos_loss': '0.008155', 'pidinet_loss': '0.2474', 'siglip_loss': '0.6155', 'epoch': '0.2936'} + 91%|█████████████████████████████ | 8160/9000 [7:08:08<44:11, 3.16s/it][Dataset] cur_step=8161 phase=D_mixed_covt +[Dataset] cur_step=8161 phase=D_mixed_covt +[Dataset] cur_step=8161 phase=D_mixed_covt[Dataset] cur_step=8161 phase=D_mixed_covt + +[Dataset] cur_step=8161 phase=D_mixed_covt[Dataset] cur_step=8161 phase=D_mixed_covt + + 91%|█████████████████████████████ | 8161/9000 [7:08:09<36:18, 2.60s/it][Dataset] cur_step=8161 phase=D_mixed_covt +[Dataset] cur_step=8161 phase=D_mixed_covt + {'loss': '2.69', 'grad_norm': '2.776', 'learning_rate': '1.179e-06', 'epoch': '0.2936'} + 91%|█████████████████████████████ | 8161/9000 [7:08:09<36:18, 2.60s/it] {'lm_loss': '0.8474', 'visual_loss': '2.542', 'seg_loss': '0.7292', 'dino_loss': '0.9233', 'depth_loss': '0.205', 'vggt_mse_loss': '0.2034', 'vggt_cos_loss': '0.01545', 'pidinet_loss': '0.1976', 'siglip_loss': '0.4871', 'epoch': '0.2936'} + 91%|█████████████████████████████ | 8161/9000 [7:08:11<36:18, 2.60s/it][Dataset] cur_step=8162 phase=D_mixed_covt +[Dataset] cur_step=8162 phase=D_mixed_covt + 91%|█████████████████████████████ | 8162/9000 [7:08:11<35:43, 2.56s/it][Dataset] cur_step=8162 phase=D_mixed_covt +[Dataset] cur_step=8162 phase=D_mixed_covt +[Dataset] cur_step=8162 phase=D_mixed_covt +[Dataset] cur_step=8162 phase=D_mixed_covt +[Dataset] cur_step=8162 phase=D_mixed_covt +[Dataset] cur_step=8162 phase=D_mixed_covt + {'loss': '3.367', 'grad_norm': '3.015', 'learning_rate': '1.176e-06', 'epoch': '0.2936'} + 91%|█████████████████████████████ | 8162/9000 [7:08:11<35:43, 2.56s/it] {'lm_loss': '0.8741', 'visual_loss': '2.589', 'seg_loss': '0.8136', 'dino_loss': '0.922', 'depth_loss': '0.2566', 'vggt_mse_loss': '0.2552', 'vggt_cos_loss': '0.0136', 'pidinet_loss': '0.2702', 'siglip_loss': '0.3269', 'epoch': '0.2936'} + 91%|█████████████████████████████ | 8162/9000 [7:08:12<35:43, 2.56s/it][Dataset] cur_step=8163 phase=D_mixed_covt +[Dataset] cur_step=8163 phase=D_mixed_covt +[Dataset] cur_step=8163 phase=D_mixed_covt +[Dataset] cur_step=8163 phase=D_mixed_covt +[Dataset] cur_step=8163 phase=D_mixed_covt +[Dataset] cur_step=8163 phase=D_mixed_covt +[Dataset] cur_step=8163 phase=D_mixed_covt + 91%|█████████████████████████████ | 8163/9000 [7:08:13<33:54, 2.43s/it][Dataset] cur_step=8163 phase=D_mixed_covt + {'loss': '3.303', 'grad_norm': '2.373', 'learning_rate': '1.173e-06', 'epoch': '0.2937'} + 91%|█████████████████████████████ | 8163/9000 [7:08:13<33:54, 2.43s/it] {'lm_loss': '0.08999', 'visual_loss': '2.656', 'seg_loss': '0.7882', 'dino_loss': '0.8498', 'depth_loss': '0.2524', 'vggt_mse_loss': '0.2508', 'vggt_cos_loss': '0.01598', 'pidinet_loss': '0.2225', 'siglip_loss': '0.5428', 'epoch': '0.2937'} + 91%|█████████████████████████████ | 8163/9000 [7:08:15<33:54, 2.43s/it][Dataset] cur_step=8164 phase=D_mixed_covt +[Dataset] cur_step=8164 phase=D_mixed_covt[Dataset] cur_step=8164 phase=D_mixed_covt + +[Dataset] cur_step=8164 phase=D_mixed_covt[Dataset] cur_step=8164 phase=D_mixed_covt + +[Dataset] cur_step=8164 phase=D_mixed_covt[Dataset] cur_step=8164 phase=D_mixed_covt[Dataset] cur_step=8164 phase=D_mixed_covt + + + 91%|█████████████████████████████ | 8164/9000 [7:08:17<38:31, 2.76s/it] {'loss': '3.304', 'grad_norm': '2.411', 'learning_rate': '1.17e-06', 'epoch': '0.2937'} + 91%|█████████████████████████████ | 8164/9000 [7:08:17<38:31, 2.76s/it] {'lm_loss': '0.5878', 'visual_loss': '2.514', 'seg_loss': '0.6972', 'dino_loss': '0.9115', 'depth_loss': '0.1441', 'vggt_mse_loss': '0.1431', 'vggt_cos_loss': '0.009357', 'pidinet_loss': '0.2787', 'siglip_loss': '0.4828', 'epoch': '0.2937'} + 91%|█████████████████████████████ | 8164/9000 [7:08:18<38:31, 2.76s/it][Dataset] cur_step=8165 phase=D_mixed_covt[Dataset] cur_step=8165 phase=D_mixed_covt + +[Dataset] cur_step=8165 phase=D_mixed_covt +[Dataset] cur_step=8165 phase=D_mixed_covt[Dataset] cur_step=8165 phase=D_mixed_covt +[Dataset] cur_step=8165 phase=D_mixed_covt + + 91%|█████████████████████████████ | 8165/9000 [7:08:19<34:59, 2.51s/it][Dataset] cur_step=8165 phase=D_mixed_covt +[Dataset] cur_step=8165 phase=D_mixed_covt + {'loss': '3.472', 'grad_norm': '3.605', 'learning_rate': '1.167e-06', 'epoch': '0.2937'} + 91%|█████████████████████████████ | 8165/9000 [7:08:19<34:59, 2.51s/it] {'lm_loss': '0.5189', 'visual_loss': '1.989', 'seg_loss': '0', 'dino_loss': '0.9411', 'depth_loss': '0.2416', 'vggt_mse_loss': '0.2399', 'vggt_cos_loss': '0.01639', 'pidinet_loss': '0.235', 'siglip_loss': '0.5713', 'epoch': '0.2937'} + 91%|█████████████████████████████ | 8165/9000 [7:08:19<34:59, 2.51s/it][Dataset] cur_step=8166 phase=D_mixed_covt +[Dataset] cur_step=8166 phase=D_mixed_covt[Dataset] cur_step=8166 phase=D_mixed_covt + +[Dataset] cur_step=8166 phase=D_mixed_covt +[Dataset] cur_step=8166 phase=D_mixed_covt +[Dataset] cur_step=8166 phase=D_mixed_covt +[Dataset] cur_step=8166 phase=D_mixed_covt[Dataset] cur_step=8166 phase=D_mixed_covt + + 91%|█████████████████████████████ | 8166/9000 [7:08:20<29:39, 2.13s/it] {'loss': '2.165', 'grad_norm': '2.224', 'learning_rate': '1.165e-06', 'epoch': '0.2938'} + 91%|█████████████████████████████ | 8166/9000 [7:08:20<29:39, 2.13s/it] {'lm_loss': '1.107', 'visual_loss': '2.77', 'seg_loss': '0.9286', 'dino_loss': '0.9149', 'depth_loss': '0.2139', 'vggt_mse_loss': '0.2123', 'vggt_cos_loss': '0.01578', 'pidinet_loss': '0.2115', 'siglip_loss': '0.5007', 'epoch': '0.2938'} + 91%|█████████████████████████████ | 8166/9000 [7:08:21<29:39, 2.13s/it][Dataset] cur_step=8167 phase=D_mixed_covt +[Dataset] cur_step=8167 phase=D_mixed_covt +[Dataset] cur_step=8167 phase=D_mixed_covt +[Dataset] cur_step=8167 phase=D_mixed_covt +[Dataset] cur_step=8167 phase=D_mixed_covt +[Dataset] cur_step=8167 phase=D_mixed_covt + 91%|█████████████████████████████ | 8167/9000 [7:08:22<28:24, 2.05s/it][Dataset] cur_step=8167 phase=D_mixed_covt[Dataset] cur_step=8167 phase=D_mixed_covt + + {'loss': '3.384', 'grad_norm': '11.03', 'learning_rate': '1.162e-06', 'epoch': '0.2938'} + 91%|█████████████████████████████ | 8167/9000 [7:08:22<28:24, 2.05s/it] {'lm_loss': '0.9496', 'visual_loss': '2.498', 'seg_loss': '0.5446', 'dino_loss': '0.9035', 'depth_loss': '0.2364', 'vggt_mse_loss': '0.2344', 'vggt_cos_loss': '0.02041', 'pidinet_loss': '0.2262', 'siglip_loss': '0.587', 'epoch': '0.2938'} + 91%|█████████████████████████████ | 8167/9000 [7:08:24<28:24, 2.05s/it][Dataset] cur_step=8168 phase=D_mixed_covt +[Dataset] cur_step=8168 phase=D_mixed_covt +[Dataset] cur_step=8168 phase=D_mixed_covt +[Dataset] cur_step=8168 phase=D_mixed_covt 91%|█████████████████████████████ | 8168/9000 [7:08:25<31:10, 2.25s/it] +[Dataset] cur_step=8168 phase=D_mixed_covt[Dataset] cur_step=8168 phase=D_mixed_covt[Dataset] cur_step=8168 phase=D_mixed_covt + + +[Dataset] cur_step=8168 phase=D_mixed_covt + {'loss': '3.149', 'grad_norm': '2.699', 'learning_rate': '1.159e-06', 'epoch': '0.2938'} + 91%|█████████████████████████████ | 8168/9000 [7:08:25<31:10, 2.25s/it] {'lm_loss': '1.187', 'visual_loss': '2.355', 'seg_loss': '0.7053', 'dino_loss': '0.9307', 'depth_loss': '0.2241', 'vggt_mse_loss': '0.2225', 'vggt_cos_loss': '0.0158', 'pidinet_loss': '0', 'siglip_loss': '0.4947', 'epoch': '0.2938'} + 91%|█████████████████████████████ | 8168/9000 [7:08:26<31:10, 2.25s/it][Dataset] cur_step=8169 phase=D_mixed_covt +[Dataset] cur_step=8169 phase=D_mixed_covt +[Dataset] cur_step=8169 phase=D_mixed_covt[Dataset] cur_step=8169 phase=D_mixed_covt +[Dataset] cur_step=8169 phase=D_mixed_covt + +[Dataset] cur_step=8169 phase=D_mixed_covt[Dataset] cur_step=8169 phase=D_mixed_covt + 91%|█████████████████████████████ | 8169/9000 [7:08:26<29:31, 2.13s/it] +[Dataset] cur_step=8169 phase=D_mixed_covt + {'loss': '3.273', 'grad_norm': '6.917', 'learning_rate': '1.156e-06', 'epoch': '0.2939'} + 91%|█████████████████████████████ | 8169/9000 [7:08:26<29:31, 2.13s/it] {'lm_loss': '0.7008', 'visual_loss': '2.565', 'seg_loss': '0.6397', 'dino_loss': '0.897', 'depth_loss': '0.2172', 'vggt_mse_loss': '0.2156', 'vggt_cos_loss': '0.01599', 'pidinet_loss': '0.207', 'siglip_loss': '0.6036', 'epoch': '0.2939'} + 91%|█████████████████████████████ | 8169/9000 [7:08:28<29:31, 2.13s/it][Dataset] cur_step=8170 phase=D_mixed_covt +[Dataset] cur_step=8170 phase=D_mixed_covt +[Dataset] cur_step=8170 phase=D_mixed_covt +[Dataset] cur_step=8170 phase=D_mixed_covt +[Dataset] cur_step=8170 phase=D_mixed_covt +[Dataset] cur_step=8170 phase=D_mixed_covt +[Dataset] cur_step=8170 phase=D_mixed_covt +[Dataset] cur_step=8170 phase=D_mixed_covt + 91%|█████████████████████████████ | 8170/9000 [7:08:29<30:56, 2.24s/it] {'loss': '3.436', 'grad_norm': '2.349', 'learning_rate': '1.154e-06', 'epoch': '0.2939'} + 91%|█████████████████████████████ | 8170/9000 [7:08:29<30:56, 2.24s/it] {'lm_loss': '0.4861', 'visual_loss': '3.125', 'seg_loss': '0.9108', 'dino_loss': '0.9236', 'depth_loss': '0.1418', 'vggt_mse_loss': '0.1408', 'vggt_cos_loss': '0.01023', 'pidinet_loss': '0.3254', 'siglip_loss': '0.8234', 'epoch': '0.2939'} + 91%|█████████████████████████████ | 8170/9000 [7:08:31<30:56, 2.24s/it][Dataset] cur_step=8171 phase=D_mixed_covt[Dataset] cur_step=8171 phase=D_mixed_covt + +[Dataset] cur_step=8171 phase=D_mixed_covt +[Dataset] cur_step=8171 phase=D_mixed_covt +[Dataset] cur_step=8171 phase=D_mixed_covt + 91%|█████████████████████████████ | 8171/9000 [7:08:31<32:25, 2.35s/it][Dataset] cur_step=8171 phase=D_mixed_covt +[Dataset] cur_step=8171 phase=D_mixed_covt +[Dataset] cur_step=8171 phase=D_mixed_covt + {'loss': '3.248', 'grad_norm': '3.225', 'learning_rate': '1.151e-06', 'epoch': '0.294'} + 91%|█████████████████████████████ | 8171/9000 [7:08:31<32:25, 2.35s/it] {'lm_loss': '1.141', 'visual_loss': '1.448', 'seg_loss': '0.531', 'dino_loss': '0.9171', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0', 'siglip_loss': '0', 'epoch': '0.294'} + 91%|█████████████████████████████ | 8171/9000 [7:08:33<32:25, 2.35s/it][Dataset] cur_step=8172 phase=D_mixed_covt +[Dataset] cur_step=8172 phase=D_mixed_covt +[Dataset] cur_step=8172 phase=D_mixed_covt +[Dataset] cur_step=8172 phase=D_mixed_covt[Dataset] cur_step=8172 phase=D_mixed_covt + + 91%|█████████████████████████████ | 8172/9000 [7:08:33<28:52, 2.09s/it][Dataset] cur_step=8172 phase=D_mixed_covt +[Dataset] cur_step=8172 phase=D_mixed_covt +[Dataset] cur_step=8172 phase=D_mixed_covt + {'loss': '2.434', 'grad_norm': '3.468', 'learning_rate': '1.148e-06', 'epoch': '0.294'} + 91%|█████████████████████████████ | 8172/9000 [7:08:33<28:52, 2.09s/it] {'lm_loss': '0.6619', 'visual_loss': '2.609', 'seg_loss': '0.8446', 'dino_loss': '0.9471', 'depth_loss': '0.187', 'vggt_mse_loss': '0.1856', 'vggt_cos_loss': '0.01437', 'pidinet_loss': '0.2155', 'siglip_loss': '0.4149', 'epoch': '0.294'} + 91%|█████████████████████████████ | 8172/9000 [7:08:35<28:52, 2.09s/it][Dataset] cur_step=8173 phase=D_mixed_covt +[Dataset] cur_step=8173 phase=D_mixed_covt +[Dataset] cur_step=8173 phase=D_mixed_covt +[Dataset] cur_step=8173 phase=D_mixed_covt +[Dataset] cur_step=8173 phase=D_mixed_covt[Dataset] cur_step=8173 phase=D_mixed_covt +[Dataset] cur_step=8173 phase=D_mixed_covt + + 91%|█████████████████████████████ | 8173/9000 [7:08:38<40:06, 2.91s/it][Dataset] cur_step=8173 phase=D_mixed_covt + {'loss': '3.033', 'grad_norm': '1.906', 'learning_rate': '1.145e-06', 'epoch': '0.294'} + 91%|█████████████████████████████ | 8173/9000 [7:08:38<40:06, 2.91s/it] {'lm_loss': '0.2088', 'visual_loss': '2.17', 'seg_loss': '0.7447', 'dino_loss': '0.8888', 'depth_loss': '0.2651', 'vggt_mse_loss': '0.2632', 'vggt_cos_loss': '0.01957', 'pidinet_loss': '0.2713', 'siglip_loss': '0', 'epoch': '0.294'} + 91%|█████████████████████████████ | 8173/9000 [7:08:39<40:06, 2.91s/it][Dataset] cur_step=8174 phase=D_mixed_covt +[Dataset] cur_step=8174 phase=D_mixed_covt[Dataset] cur_step=8174 phase=D_mixed_covt +[Dataset] cur_step=8174 phase=D_mixed_covt + +[Dataset] cur_step=8174 phase=D_mixed_covt +[Dataset] cur_step=8174 phase=D_mixed_covt +[Dataset] cur_step=8174 phase=D_mixed_covt +[Dataset] cur_step=8174 phase=D_mixed_covt + 91%|█████████████████████████████ | 8174/9000 [7:08:40<38:34, 2.80s/it] {'loss': '2.672', 'grad_norm': '4.86', 'learning_rate': '1.143e-06', 'epoch': '0.2941'} + 91%|█████████████████████████████ | 8174/9000 [7:08:40<38:34, 2.80s/it] {'lm_loss': '0.3959', 'visual_loss': '2.37', 'seg_loss': '0.7179', 'dino_loss': '0.8876', 'depth_loss': '0.1981', 'vggt_mse_loss': '0.1969', 'vggt_cos_loss': '0.0117', 'pidinet_loss': '0.1296', 'siglip_loss': '0.4369', 'epoch': '0.2941'} + 91%|█████████████████████████████ | 8174/9000 [7:08:42<38:34, 2.80s/it][Dataset] cur_step=8175 phase=D_mixed_covt +[Dataset] cur_step=8175 phase=D_mixed_covt[Dataset] cur_step=8175 phase=D_mixed_covt + +[Dataset] cur_step=8175 phase=D_mixed_covt +[Dataset] cur_step=8175 phase=D_mixed_covt + 91%|█████████████████████████████ | 8175/9000 [7:08:45<44:53, 3.26s/it][Dataset] cur_step=8175 phase=D_mixed_covt[Dataset] cur_step=8175 phase=D_mixed_covt + +[Dataset] cur_step=8175 phase=D_mixed_covt + {'loss': '3.093', 'grad_norm': '3.048', 'learning_rate': '1.14e-06', 'epoch': '0.2941'} + 91%|█████████████████████████████ | 8175/9000 [7:08:45<44:53, 3.26s/it] {'lm_loss': '1.006', 'visual_loss': '0.2643', 'seg_loss': '0', 'dino_loss': '0', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2643', 'siglip_loss': '0', 'epoch': '0.2941'} + 91%|█████████████████████████████ | 8175/9000 [7:08:45<44:53, 3.26s/it][Dataset] cur_step=8176 phase=D_mixed_covt +[Dataset] cur_step=8176 phase=D_mixed_covt +[Dataset] cur_step=8176 phase=D_mixed_covt +[Dataset] cur_step=8176 phase=D_mixed_covt +[Dataset] cur_step=8176 phase=D_mixed_covt +[Dataset] cur_step=8176 phase=D_mixed_covt +[Dataset] cur_step=8176 phase=D_mixed_covt +[Dataset] cur_step=8176 phase=D_mixed_covt + 91%|█████████████████████████████ | 8176/9000 [7:08:45<34:45, 2.53s/it] {'loss': '0.9773', 'grad_norm': '5.004', 'learning_rate': '1.137e-06', 'epoch': '0.2941'} + 91%|█████████████████████████████ | 8176/9000 [7:08:45<34:45, 2.53s/it] {'lm_loss': '0.7318', 'visual_loss': '2.557', 'seg_loss': '0.6059', 'dino_loss': '0.969', 'depth_loss': '0.1712', 'vggt_mse_loss': '0.1698', 'vggt_cos_loss': '0.0136', 'pidinet_loss': '0.2289', 'siglip_loss': '0.5819', 'epoch': '0.2941'} + 91%|█████████████████████████████ | 8176/9000 [7:08:47<34:45, 2.53s/it][Dataset] cur_step=8177 phase=D_mixed_covt +[Dataset] cur_step=8177 phase=D_mixed_covt +[Dataset] cur_step=8177 phase=D_mixed_covt +[Dataset] cur_step=8177 phase=D_mixed_covt +[Dataset] cur_step=8177 phase=D_mixed_covt +[Dataset] cur_step=8177 phase=D_mixed_covt +[Dataset] cur_step=8177 phase=D_mixed_covt +[Dataset] cur_step=8177 phase=D_mixed_covt + 91%|█████████████████████████████ | 8177/9000 [7:08:48<35:01, 2.55s/it] {'loss': '3.373', 'grad_norm': '2.632', 'learning_rate': '1.134e-06', 'epoch': '0.2942'} + 91%|█████████████████████████████ | 8177/9000 [7:08:48<35:01, 2.55s/it] {'lm_loss': '1.203', 'visual_loss': '2.569', 'seg_loss': '0.6508', 'dino_loss': '0.9078', 'depth_loss': '0.2135', 'vggt_mse_loss': '0.2126', 'vggt_cos_loss': '0.009131', 'pidinet_loss': '0.1941', 'siglip_loss': '0.6029', 'epoch': '0.2942'} + 91%|█████████████████████████████ | 8177/9000 [7:08:50<35:01, 2.55s/it][Dataset] cur_step=8178 phase=D_mixed_covt +[Dataset] cur_step=8178 phase=D_mixed_covt +[Dataset] cur_step=8178 phase=D_mixed_covt +[Dataset] cur_step=8178 phase=D_mixed_covt + 91%|█████████████████████████████ | 8178/9000 [7:08:51<35:06, 2.56s/it][Dataset] cur_step=8178 phase=D_mixed_covt +[Dataset] cur_step=8178 phase=D_mixed_covt +[Dataset] cur_step=8178 phase=D_mixed_covt +[Dataset] cur_step=8178 phase=D_mixed_covt + {'loss': '3.38', 'grad_norm': '5.527', 'learning_rate': '1.132e-06', 'epoch': '0.2942'} + 91%|█████████████████████████████ | 8178/9000 [7:08:51<35:06, 2.56s/it] {'lm_loss': '0.311', 'visual_loss': '2.684', 'seg_loss': '0.7329', 'dino_loss': '0.9397', 'depth_loss': '0.2751', 'vggt_mse_loss': '0.273', 'vggt_cos_loss': '0.02148', 'pidinet_loss': '0.3064', 'siglip_loss': '0.4299', 'epoch': '0.2942'} + 91%|█████████████████████████████ | 8178/9000 [7:08:53<35:06, 2.56s/it][Dataset] cur_step=8179 phase=D_mixed_covt[Dataset] cur_step=8179 phase=D_mixed_covt +[Dataset] cur_step=8179 phase=D_mixed_covt + +[Dataset] cur_step=8179 phase=D_mixed_covt[Dataset] cur_step=8179 phase=D_mixed_covt + +[Dataset] cur_step=8179 phase=D_mixed_covt[Dataset] cur_step=8179 phase=D_mixed_covt + + 91%|█████████████████████████████ | 8179/9000 [7:08:54<36:35, 2.67s/it][Dataset] cur_step=8179 phase=D_mixed_covt + {'loss': '3.212', 'grad_norm': '2.18', 'learning_rate': '1.129e-06', 'epoch': '0.2942'} + 91%|█████████████████████████████ | 8179/9000 [7:08:54<36:35, 2.67s/it] {'lm_loss': '0.05623', 'visual_loss': '2.151', 'seg_loss': '0.5144', 'dino_loss': '0.8218', 'depth_loss': '0.171', 'vggt_mse_loss': '0.1702', 'vggt_cos_loss': '0.007488', 'pidinet_loss': '0.2442', 'siglip_loss': '0.3997', 'epoch': '0.2942'} + 91%|█████████████████████████████ | 8179/9000 [7:08:56<36:35, 2.67s/it][Dataset] cur_step=8180 phase=D_mixed_covt +[Dataset] cur_step=8180 phase=D_mixed_covt + 91%|█████████████████████████████ | 8180/9000 [7:08:56<37:15, 2.73s/it][Dataset] cur_step=8180 phase=D_mixed_covt +[Dataset] cur_step=8180 phase=D_mixed_covt +[Dataset] cur_step=8180 phase=D_mixed_covt +[Dataset] cur_step=8180 phase=D_mixed_covt +[Dataset] cur_step=8180 phase=D_mixed_covt +[Dataset] cur_step=8180 phase=D_mixed_covt + {'loss': '3.151', 'grad_norm': '2.896', 'learning_rate': '1.126e-06', 'epoch': '0.2943'} + 91%|█████████████████████████████ | 8180/9000 [7:08:56<37:15, 2.73s/it] {'lm_loss': '0.8944', 'visual_loss': '2.543', 'seg_loss': '0.7564', 'dino_loss': '0.8867', 'depth_loss': '0.1951', 'vggt_mse_loss': '0.1937', 'vggt_cos_loss': '0.01363', 'pidinet_loss': '0.1849', 'siglip_loss': '0.52', 'epoch': '0.2943'} + 91%|█████████████████████████████ | 8180/9000 [7:08:59<37:15, 2.73s/it][Dataset] cur_step=8181 phase=D_mixed_covt +[Dataset] cur_step=8181 phase=D_mixed_covt +[Dataset] cur_step=8181 phase=D_mixed_covt + 91%|█████████████████████████████ | 8181/9000 [7:09:00<38:45, 2.84s/it][Dataset] cur_step=8181 phase=D_mixed_covt[Dataset] cur_step=8181 phase=D_mixed_covt + +[Dataset] cur_step=8181 phase=D_mixed_covt[Dataset] cur_step=8181 phase=D_mixed_covt + +[Dataset] cur_step=8181 phase=D_mixed_covt + {'loss': '3.141', 'grad_norm': '2.789', 'learning_rate': '1.123e-06', 'epoch': '0.2943'} + 91%|█████████████████████████████ | 8181/9000 [7:09:00<38:45, 2.84s/it] {'lm_loss': '0.5493', 'visual_loss': '1.743', 'seg_loss': '0.7416', 'dino_loss': '0', 'depth_loss': '0.2552', 'vggt_mse_loss': '0.2531', 'vggt_cos_loss': '0.02041', 'pidinet_loss': '0.3204', 'siglip_loss': '0.4257', 'epoch': '0.2943'} + 91%|█████████████████████████████ | 8181/9000 [7:09:01<38:45, 2.84s/it][Dataset] cur_step=8182 phase=D_mixed_covt +[Dataset] cur_step=8182 phase=D_mixed_covt +[Dataset] cur_step=8182 phase=D_mixed_covt +[Dataset] cur_step=8182 phase=D_mixed_covt[Dataset] cur_step=8182 phase=D_mixed_covt + +[Dataset] cur_step=8182 phase=D_mixed_covt + 91%|█████████████████████████████ | 8182/9000 [7:09:02<38:43, 2.84s/it][Dataset] cur_step=8182 phase=D_mixed_covt +[Dataset] cur_step=8182 phase=D_mixed_covt + {'loss': '2.202', 'grad_norm': '3.427', 'learning_rate': '1.121e-06', 'epoch': '0.2943'} + 91%|█████████████████████████████ | 8182/9000 [7:09:02<38:43, 2.84s/it] {'lm_loss': '0.9495', 'visual_loss': '1.728', 'seg_loss': '0.7391', 'dino_loss': '0', 'depth_loss': '0.3068', 'vggt_mse_loss': '0.3037', 'vggt_cos_loss': '0.03095', 'pidinet_loss': '0.2286', 'siglip_loss': '0.4535', 'epoch': '0.2943'} + 91%|█████████████████████████████ | 8182/9000 [7:09:05<38:43, 2.84s/it][Dataset] cur_step=8183 phase=D_mixed_covt +[Dataset] cur_step=8183 phase=D_mixed_covt +[Dataset] cur_step=8183 phase=D_mixed_covt + 91%|█████████████████████████████ | 8183/9000 [7:09:06<41:47, 3.07s/it][Dataset] cur_step=8183 phase=D_mixed_covt +[Dataset] cur_step=8183 phase=D_mixed_covt +[Dataset] cur_step=8183 phase=D_mixed_covt +[Dataset] cur_step=8183 phase=D_mixed_covt +[Dataset] cur_step=8183 phase=D_mixed_covt + {'loss': '2.388', 'grad_norm': '2.656', 'learning_rate': '1.118e-06', 'epoch': '0.2944'} + 91%|█████████████████████████████ | 8183/9000 [7:09:06<41:47, 3.07s/it] {'lm_loss': '0.0588', 'visual_loss': '2.655', 'seg_loss': '0.7129', 'dino_loss': '0.9077', 'depth_loss': '0.2339', 'vggt_mse_loss': '0.2321', 'vggt_cos_loss': '0.01749', 'pidinet_loss': '0.2531', 'siglip_loss': '0.5476', 'epoch': '0.2944'} + 91%|█████████████████████████████ | 8183/9000 [7:09:08<41:47, 3.07s/it][Dataset] cur_step=8184 phase=D_mixed_covt[Dataset] cur_step=8184 phase=D_mixed_covt + +[Dataset] cur_step=8184 phase=D_mixed_covt +[Dataset] cur_step=8184 phase=D_mixed_covt +[Dataset] cur_step=8184 phase=D_mixed_covt +[Dataset] cur_step=8184 phase=D_mixed_covt + 91%|█████████████████████████████ | 8184/9000 [7:09:09<40:41, 2.99s/it][Dataset] cur_step=8184 phase=D_mixed_covt +[Dataset] cur_step=8184 phase=D_mixed_covt + {'loss': '3.227', 'grad_norm': '2.615', 'learning_rate': '1.115e-06', 'epoch': '0.2944'} + 91%|█████████████████████████████ | 8184/9000 [7:09:09<40:41, 2.99s/it] {'lm_loss': '0.276', 'visual_loss': '2.96', 'seg_loss': '0.8917', 'dino_loss': '0.9332', 'depth_loss': '0.3689', 'vggt_mse_loss': '0.3667', 'vggt_cos_loss': '0.0217', 'pidinet_loss': '0.1668', 'siglip_loss': '0.5997', 'epoch': '0.2944'} + 91%|█████████████████████████████ | 8184/9000 [7:09:11<40:41, 2.99s/it][Dataset] cur_step=8185 phase=D_mixed_covt +[Dataset] cur_step=8185 phase=D_mixed_covt +[Dataset] cur_step=8185 phase=D_mixed_covt + 91%|█████████████████████████████ | 8185/9000 [7:09:13<47:19, 3.48s/it][Dataset] cur_step=8185 phase=D_mixed_covt[Dataset] cur_step=8185 phase=D_mixed_covt[Dataset] cur_step=8185 phase=D_mixed_covt + + +[Dataset] cur_step=8185 phase=D_mixed_covt +[Dataset] cur_step=8185 phase=D_mixed_covt + {'loss': '3.081', 'grad_norm': '2.39', 'learning_rate': '1.113e-06', 'epoch': '0.2945'} + 91%|█████████████████████████████ | 8185/9000 [7:09:13<47:19, 3.48s/it] {'lm_loss': '0.6528', 'visual_loss': '2.498', 'seg_loss': '0.6792', 'dino_loss': '0.8721', 'depth_loss': '0.1786', 'vggt_mse_loss': '0.1773', 'vggt_cos_loss': '0.01264', 'pidinet_loss': '0.2162', 'siglip_loss': '0.5516', 'epoch': '0.2945'} + 91%|█████████████████████████████ | 8185/9000 [7:09:16<47:19, 3.48s/it][Dataset] cur_step=8186 phase=D_mixed_covt[Dataset] cur_step=8186 phase=D_mixed_covt + +[Dataset] cur_step=8186 phase=D_mixed_covt +[Dataset] cur_step=8186 phase=D_mixed_covt +[Dataset] cur_step=8186 phase=D_mixed_covt[Dataset] cur_step=8186 phase=D_mixed_covt + + 91%|█████████████████████████████ | 8186/9000 [7:09:17<45:34, 3.36s/it][Dataset] cur_step=8186 phase=D_mixed_covt +[Dataset] cur_step=8186 phase=D_mixed_covt + {'loss': '3.483', 'grad_norm': '12.09', 'learning_rate': '1.11e-06', 'epoch': '0.2945'} + 91%|█████████████████████████████ | 8186/9000 [7:09:17<45:34, 3.36s/it] {'lm_loss': '0.9548', 'visual_loss': '1.94', 'seg_loss': '0', 'dino_loss': '0.8705', 'depth_loss': '0.2014', 'vggt_mse_loss': '0.2005', 'vggt_cos_loss': '0.009362', 'pidinet_loss': '0.3079', 'siglip_loss': '0.5604', 'epoch': '0.2945'} + 91%|█████████████████████████████ | 8186/9000 [7:09:17<45:34, 3.36s/it][Dataset] cur_step=8187 phase=D_mixed_covt +[Dataset] cur_step=8187 phase=D_mixed_covt[Dataset] cur_step=8187 phase=D_mixed_covt[Dataset] cur_step=8187 phase=D_mixed_covt + + +[Dataset] cur_step=8187 phase=D_mixed_covt + 91%|█████████████████████████████ | 8187/9000 [7:09:18<36:21, 2.68s/it][Dataset] cur_step=8187 phase=D_mixed_covt +[Dataset] cur_step=8187 phase=D_mixed_covt +[Dataset] cur_step=8187 phase=D_mixed_covt + {'loss': '2.749', 'grad_norm': '3.345', 'learning_rate': '1.107e-06', 'epoch': '0.2945'} + 91%|█████████████████████████████ | 8187/9000 [7:09:18<36:21, 2.68s/it] {'lm_loss': '0.7745', 'visual_loss': '2.607', 'seg_loss': '0.72', 'dino_loss': '0.9272', 'depth_loss': '0.1893', 'vggt_mse_loss': '0.1879', 'vggt_cos_loss': '0.0141', 'pidinet_loss': '0.248', 'siglip_loss': '0.5223', 'epoch': '0.2945'} + 91%|█████████████████████████████ | 8187/9000 [7:09:20<36:21, 2.68s/it][Dataset] cur_step=8188 phase=D_mixed_covt +[Dataset] cur_step=8188 phase=D_mixed_covt +[Dataset] cur_step=8188 phase=D_mixed_covt +[Dataset] cur_step=8188 phase=D_mixed_covt +[Dataset] cur_step=8188 phase=D_mixed_covt 91%|█████████████████████████████ | 8188/9000 [7:09:20<36:59, 2.73s/it] +[Dataset] cur_step=8188 phase=D_mixed_covt +[Dataset] cur_step=8188 phase=D_mixed_covt +[Dataset] cur_step=8188 phase=D_mixed_covt + {'loss': '3.049', 'grad_norm': '22.86', 'learning_rate': '1.104e-06', 'epoch': '0.2946'} + 91%|█████████████████████████████ | 8188/9000 [7:09:20<36:59, 2.73s/it] {'lm_loss': '0.6436', 'visual_loss': '2.704', 'seg_loss': '0.5785', 'dino_loss': '1.001', 'depth_loss': '0.3471', 'vggt_mse_loss': '0.3446', 'vggt_cos_loss': '0.02449', 'pidinet_loss': '0.1652', 'siglip_loss': '0.6117', 'epoch': '0.2946'} + 91%|█████████████████████████████ | 8188/9000 [7:09:23<36:59, 2.73s/it][Dataset] cur_step=8189 phase=D_mixed_covt + 91%|█████████████████████████████ | 8189/9000 [7:09:26<47:19, 3.50s/it][Dataset] cur_step=8189 phase=D_mixed_covt[Dataset] cur_step=8189 phase=D_mixed_covt + +[Dataset] cur_step=8189 phase=D_mixed_covt +[Dataset] cur_step=8189 phase=D_mixed_covt +[Dataset] cur_step=8189 phase=D_mixed_covt +[Dataset] cur_step=8189 phase=D_mixed_covt +[Dataset] cur_step=8189 phase=D_mixed_covt + {'loss': '3.213', 'grad_norm': '4.257', 'learning_rate': '1.102e-06', 'epoch': '0.2946'} + 91%|█████████████████████████████ | 8189/9000 [7:09:26<47:19, 3.50s/it] {'lm_loss': '0.6776', 'visual_loss': '2.49', 'seg_loss': '0.678', 'dino_loss': '0.8912', 'depth_loss': '0.1694', 'vggt_mse_loss': '0.1686', 'vggt_cos_loss': '0.007919', 'pidinet_loss': '0.1865', 'siglip_loss': '0.5653', 'epoch': '0.2946'} + 91%|█████████████████████████████ | 8189/9000 [7:09:29<47:19, 3.50s/it][Dataset] cur_step=8190 phase=D_mixed_covt + 91%|█████████████████████████████ | 8190/9000 [7:09:29<47:52, 3.55s/it][Dataset] cur_step=8190 phase=D_mixed_covt +[Dataset] cur_step=8190 phase=D_mixed_covt[Dataset] cur_step=8190 phase=D_mixed_covt + +[Dataset] cur_step=8190 phase=D_mixed_covt +[Dataset] cur_step=8190 phase=D_mixed_covt +[Dataset] cur_step=8190 phase=D_mixed_covt +[Dataset] cur_step=8190 phase=D_mixed_covt + {'loss': '3.147', 'grad_norm': '2.363', 'learning_rate': '1.099e-06', 'epoch': '0.2946'} + 91%|█████████████████████████████ | 8190/9000 [7:09:29<47:52, 3.55s/it] {'lm_loss': '1.086', 'visual_loss': '2.736', 'seg_loss': '0.8125', 'dino_loss': '0.9247', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2194', 'siglip_loss': '0.7796', 'epoch': '0.2946'} + 91%|█████████████████████████████ | 8190/9000 [7:09:30<47:52, 3.55s/it][Dataset] cur_step=8191 phase=D_mixed_covt +[Dataset] cur_step=8191 phase=D_mixed_covt + 91%|█████████████████████████████ | 8191/9000 [7:09:31<39:41, 2.94s/it][Dataset] cur_step=8191 phase=D_mixed_covt +[Dataset] cur_step=8191 phase=D_mixed_covt +[Dataset] cur_step=8191 phase=D_mixed_covt +[Dataset] cur_step=8191 phase=D_mixed_covt +[Dataset] cur_step=8191 phase=D_mixed_covt +[Dataset] cur_step=8191 phase=D_mixed_covt + {'loss': '3.309', 'grad_norm': '3.832', 'learning_rate': '1.096e-06', 'epoch': '0.2947'} + 91%|█████████████████████████████ | 8191/9000 [7:09:31<39:41, 2.94s/it] {'lm_loss': '0.2231', 'visual_loss': '2.457', 'seg_loss': '0.6439', 'dino_loss': '0.9311', 'depth_loss': '0.2399', 'vggt_mse_loss': '0.2382', 'vggt_cos_loss': '0.01701', 'pidinet_loss': '0.2332', 'siglip_loss': '0.4086', 'epoch': '0.2947'} + 91%|█████████████████████████████ | 8191/9000 [7:09:33<39:41, 2.94s/it][Dataset] cur_step=8192 phase=D_mixed_covt +[Dataset] cur_step=8192 phase=D_mixed_covt +[Dataset] cur_step=8192 phase=D_mixed_covt[Dataset] cur_step=8192 phase=D_mixed_covt + +[Dataset] cur_step=8192 phase=D_mixed_covt[Dataset] cur_step=8192 phase=D_mixed_covt + +[Dataset] cur_step=8192 phase=D_mixed_covt + 91%|█████████████████████████████▏ | 8192/9000 [7:09:33<37:42, 2.80s/it][Dataset] cur_step=8192 phase=D_mixed_covt + {'loss': '3.392', 'grad_norm': '2.4', 'learning_rate': '1.094e-06', 'epoch': '0.2947'} + 91%|█████████████████████████████▏ | 8192/9000 [7:09:33<37:42, 2.80s/it] {'lm_loss': '0.5188', 'visual_loss': '2.595', 'seg_loss': '0.8105', 'dino_loss': '0.8875', 'depth_loss': '0.162', 'vggt_mse_loss': '0.1612', 'vggt_cos_loss': '0.007702', 'pidinet_loss': '0.1813', 'siglip_loss': '0.5542', 'epoch': '0.2947'} + 91%|█████████████████████████████▏ | 8192/9000 [7:09:36<37:42, 2.80s/it][Dataset] cur_step=8193 phase=D_mixed_covt +[Dataset] cur_step=8193 phase=D_mixed_covt +[Dataset] cur_step=8193 phase=D_mixed_covt +[Dataset] cur_step=8193 phase=D_mixed_covt 91%|█████████████████████████████▏ | 8193/9000 [7:09:37<39:23, 2.93s/it] +[Dataset] cur_step=8193 phase=D_mixed_covt +[Dataset] cur_step=8193 phase=D_mixed_covt +[Dataset] cur_step=8193 phase=D_mixed_covt +[Dataset] cur_step=8193 phase=D_mixed_covt + {'loss': '3.292', 'grad_norm': '5.911', 'learning_rate': '1.091e-06', 'epoch': '0.2947'} + 91%|█████████████████████████████▏ | 8193/9000 [7:09:37<39:23, 2.93s/it] {'lm_loss': '0.8802', 'visual_loss': '2.814', 'seg_loss': '0.9106', 'dino_loss': '0.9359', 'depth_loss': '0.2929', 'vggt_mse_loss': '0.2905', 'vggt_cos_loss': '0.02385', 'pidinet_loss': '0.2272', 'siglip_loss': '0.4478', 'epoch': '0.2947'} + 91%|█████████████████████████████▏ | 8193/9000 [7:09:39<39:23, 2.93s/it][Dataset] cur_step=8194 phase=D_mixed_covt +[Dataset] cur_step=8194 phase=D_mixed_covt[Dataset] cur_step=8194 phase=D_mixed_covt + + 91%|█████████████████████████████▏ | 8194/9000 [7:09:40<41:20, 3.08s/it][Dataset] cur_step=8194 phase=D_mixed_covt +[Dataset] cur_step=8194 phase=D_mixed_covt +[Dataset] cur_step=8194 phase=D_mixed_covt +[Dataset] cur_step=8194 phase=D_mixed_covt[Dataset] cur_step=8194 phase=D_mixed_covt + + {'loss': '3.325', 'grad_norm': '4.733', 'learning_rate': '1.088e-06', 'epoch': '0.2948'} + 91%|█████████████████████████████▏ | 8194/9000 [7:09:40<41:20, 3.08s/it] {'lm_loss': '0.844', 'visual_loss': '3.098', 'seg_loss': '0.9047', 'dino_loss': '0.8915', 'depth_loss': '0.2169', 'vggt_mse_loss': '0.2151', 'vggt_cos_loss': '0.01764', 'pidinet_loss': '0.301', 'siglip_loss': '0.784', 'epoch': '0.2948'} + 91%|█████████████████████████████▏ | 8194/9000 [7:09:41<41:20, 3.08s/it][Dataset] cur_step=8195 phase=D_mixed_covt +[Dataset] cur_step=8195 phase=D_mixed_covt +[Dataset] cur_step=8195 phase=D_mixed_covt +[Dataset] cur_step=8195 phase=D_mixed_covt[Dataset] cur_step=8195 phase=D_mixed_covt + + 91%|█████████████████████████████▏ | 8195/9000 [7:09:42<36:18, 2.71s/it][Dataset] cur_step=8195 phase=D_mixed_covt +[Dataset] cur_step=8195 phase=D_mixed_covt +[Dataset] cur_step=8195 phase=D_mixed_covt + {'loss': '3.234', 'grad_norm': '2.962', 'learning_rate': '1.086e-06', 'epoch': '0.2948'} + 91%|█████████████████████████████▏ | 8195/9000 [7:09:42<36:18, 2.71s/it] {'lm_loss': '0.8449', 'visual_loss': '2.468', 'seg_loss': '0.581', 'dino_loss': '0.9067', 'depth_loss': '0.3077', 'vggt_mse_loss': '0.3058', 'vggt_cos_loss': '0.01934', 'pidinet_loss': '0.24', 'siglip_loss': '0.4322', 'epoch': '0.2948'} + 91%|█████████████████████████████▏ | 8195/9000 [7:09:44<36:18, 2.71s/it][Dataset] cur_step=8196 phase=D_mixed_covt +[Dataset] cur_step=8196 phase=D_mixed_covt +[Dataset] cur_step=8196 phase=D_mixed_covt +[Dataset] cur_step=8196 phase=D_mixed_covt +[Dataset] cur_step=8196 phase=D_mixed_covt[Dataset] cur_step=8196 phase=D_mixed_covt +[Dataset] cur_step=8196 phase=D_mixed_covt + + 91%|█████████████████████████████▏ | 8196/9000 [7:09:47<45:22, 3.39s/it][Dataset] cur_step=8196 phase=D_mixed_covt + {'loss': '3.397', 'grad_norm': '4.048', 'learning_rate': '1.083e-06', 'epoch': '0.2949'} + 91%|█████████████████████████████▏ | 8196/9000 [7:09:47<45:22, 3.39s/it] {'lm_loss': '0.09493', 'visual_loss': '2.73', 'seg_loss': '0.8406', 'dino_loss': '0.8956', 'depth_loss': '0.2523', 'vggt_mse_loss': '0.2506', 'vggt_cos_loss': '0.01717', 'pidinet_loss': '0.3316', 'siglip_loss': '0.4102', 'epoch': '0.2949'} + 91%|█████████████████████████████▏ | 8196/9000 [7:09:49<45:22, 3.39s/it][Dataset] cur_step=8197 phase=D_mixed_covt +[Dataset] cur_step=8197 phase=D_mixed_covt[Dataset] cur_step=8197 phase=D_mixed_covt + +[Dataset] cur_step=8197 phase=D_mixed_covt 91%|█████████████████████████████▏ | 8197/9000 [7:09:49<42:08, 3.15s/it] +[Dataset] cur_step=8197 phase=D_mixed_covt +[Dataset] cur_step=8197 phase=D_mixed_covt +[Dataset] cur_step=8197 phase=D_mixed_covt +[Dataset] cur_step=8197 phase=D_mixed_covt + {'loss': '3.184', 'grad_norm': '4.174', 'learning_rate': '1.08e-06', 'epoch': '0.2949'} + 91%|█████████████████████████████▏ | 8197/9000 [7:09:49<42:08, 3.15s/it] {'lm_loss': '0.8987', 'visual_loss': '1.275', 'seg_loss': '0.7077', 'dino_loss': '0', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.1804', 'siglip_loss': '0.3869', 'epoch': '0.2949'} + 91%|█████████████████████████████▏ | 8197/9000 [7:09:50<42:08, 3.15s/it][Dataset] cur_step=8198 phase=D_mixed_covt +[Dataset] cur_step=8198 phase=D_mixed_covt[Dataset] cur_step=8198 phase=D_mixed_covt + + 91%|█████████████████████████████▏ | 8198/9000 [7:09:51<36:06, 2.70s/it][Dataset] cur_step=8198 phase=D_mixed_covt +[Dataset] cur_step=8198 phase=D_mixed_covt[Dataset] cur_step=8198 phase=D_mixed_covt + +[Dataset] cur_step=8198 phase=D_mixed_covt +[Dataset] cur_step=8198 phase=D_mixed_covt + {'loss': '2.292', 'grad_norm': '3.361', 'learning_rate': '1.078e-06', 'epoch': '0.2949'} + 91%|█████████████████████████████▏ | 8198/9000 [7:09:51<36:06, 2.70s/it] {'lm_loss': '0.06499', 'visual_loss': '2.356', 'seg_loss': '0.6863', 'dino_loss': '0.8709', 'depth_loss': '0.2025', 'vggt_mse_loss': '0.2013', 'vggt_cos_loss': '0.01153', 'pidinet_loss': '0.1634', 'siglip_loss': '0.4335', 'epoch': '0.2949'} + 91%|█████████████████████████████▏ | 8198/9000 [7:09:55<36:06, 2.70s/it][Dataset] cur_step=8199 phase=D_mixed_covt +[Dataset] cur_step=8199 phase=D_mixed_covt +[Dataset] cur_step=8199 phase=D_mixed_covt[Dataset] cur_step=8199 phase=D_mixed_covt + + 91%|█████████████████████████████▏ | 8199/9000 [7:09:55<42:31, 3.19s/it][Dataset] cur_step=8199 phase=D_mixed_covt +[Dataset] cur_step=8199 phase=D_mixed_covt[Dataset] cur_step=8199 phase=D_mixed_covt + +[Dataset] cur_step=8199 phase=D_mixed_covt + {'loss': '2.923', 'grad_norm': '5.206', 'learning_rate': '1.075e-06', 'epoch': '0.295'} + 91%|█████████████████████████████▏ | 8199/9000 [7:09:55<42:31, 3.19s/it] {'lm_loss': '0.8535', 'visual_loss': '2.25', 'seg_loss': '0.6756', 'dino_loss': '0.9065', 'depth_loss': '0.1834', 'vggt_mse_loss': '0.1821', 'vggt_cos_loss': '0.01283', 'pidinet_loss': '0.2497', 'siglip_loss': '0.235', 'epoch': '0.295'} + 91%|█████████████████████████████▏ | 8199/9000 [7:09:58<42:31, 3.19s/it][Dataset] cur_step=8200 phase=D_mixed_covt[Dataset] cur_step=8200 phase=D_mixed_covt + +[Dataset] cur_step=8200 phase=D_mixed_covt +[Dataset] cur_step=8200 phase=D_mixed_covt[Dataset] cur_step=8200 phase=D_mixed_covt + +[Dataset] cur_step=8200 phase=D_mixed_covt[Dataset] cur_step=8200 phase=D_mixed_covt + + 91%|█████████████████████████████▏ | 8200/9000 [7:09:59<44:53, 3.37s/it][Dataset] cur_step=8200 phase=D_mixed_covt + {'loss': '3.205', 'grad_norm': '4.313', 'learning_rate': '1.072e-06', 'epoch': '0.295'} + 91%|█████████████████████████████▏ | 8200/9000 [7:09:59<44:53, 3.37s/it] {'lm_loss': '0.4718', 'visual_loss': '2.745', 'seg_loss': '0.7586', 'dino_loss': '0.842', 'depth_loss': '0.2404', 'vggt_mse_loss': '0.2384', 'vggt_cos_loss': '0.01988', 'pidinet_loss': '0.2444', 'siglip_loss': '0.6593', 'epoch': '0.295'} + 91%|█████████████████████████████▏ | 8200/9000 [7:10:00<44:53, 3.37s/it][Dataset] cur_step=8201 phase=D_mixed_covt +[Dataset] cur_step=8201 phase=D_mixed_covt[Dataset] cur_step=8201 phase=D_mixed_covt[Dataset] cur_step=8201 phase=D_mixed_covt + + +[Dataset] cur_step=8201 phase=D_mixed_covt[Dataset] cur_step=8201 phase=D_mixed_covt + +[Dataset] cur_step=8201 phase=D_mixed_covt + 91%|█████████████████████████████▏ | 8201/9000 [7:10:01<38:39, 2.90s/it][Dataset] cur_step=8201 phase=D_mixed_covt + {'loss': '3.185', 'grad_norm': '4.275', 'learning_rate': '1.07e-06', 'epoch': '0.295'} + 91%|█████████████████████████████▏ | 8201/9000 [7:10:01<38:39, 2.90s/it] {'lm_loss': '0.2283', 'visual_loss': '1.534', 'seg_loss': '0.2932', 'dino_loss': '0.8528', 'depth_loss': '0.1593', 'vggt_mse_loss': '0.1588', 'vggt_cos_loss': '0.005108', 'pidinet_loss': '0.1547', 'siglip_loss': '0.07441', 'epoch': '0.295'} + 91%|█████████████████████████████▏ | 8201/9000 [7:10:04<38:39, 2.90s/it][Dataset] cur_step=8202 phase=D_mixed_covt +[Dataset] cur_step=8202 phase=D_mixed_covt[Dataset] cur_step=8202 phase=D_mixed_covt + +[Dataset] cur_step=8202 phase=D_mixed_covt + 91%|█████████████████████████████▏ | 8202/9000 [7:10:04<38:30, 2.90s/it][Dataset] cur_step=8202 phase=D_mixed_covt +[Dataset] cur_step=8202 phase=D_mixed_covt +[Dataset] cur_step=8202 phase=D_mixed_covt +[Dataset] cur_step=8202 phase=D_mixed_covt + {'loss': '2.935', 'grad_norm': '2.648', 'learning_rate': '1.067e-06', 'epoch': '0.2951'} + 91%|█████████████████████████████▏ | 8202/9000 [7:10:04<38:30, 2.90s/it] {'lm_loss': '0.4724', 'visual_loss': '2.683', 'seg_loss': '0.9647', 'dino_loss': '0.8919', 'depth_loss': '0.1319', 'vggt_mse_loss': '0.131', 'vggt_cos_loss': '0.009156', 'pidinet_loss': '0.2277', 'siglip_loss': '0.4673', 'epoch': '0.2951'} + 91%|█████████████████████████████▏ | 8202/9000 [7:10:05<38:30, 2.90s/it][Dataset] cur_step=8203 phase=D_mixed_covt +[Dataset] cur_step=8203 phase=D_mixed_covt +[Dataset] cur_step=8203 phase=D_mixed_covt[Dataset] cur_step=8203 phase=D_mixed_covt + +[Dataset] cur_step=8203 phase=D_mixed_covt[Dataset] cur_step=8203 phase=D_mixed_covt 91%|█████████████████████████████▏ | 8203/9000 [7:10:06<34:11, 2.57s/it] + +[Dataset] cur_step=8203 phase=D_mixed_covt +[Dataset] cur_step=8203 phase=D_mixed_covt + {'loss': '3.14', 'grad_norm': '3.156', 'learning_rate': '1.064e-06', 'epoch': '0.2951'} + 91%|█████████████████████████████▏ | 8203/9000 [7:10:06<34:11, 2.57s/it] {'lm_loss': '0.8687', 'visual_loss': '2.78', 'seg_loss': '0.6601', 'dino_loss': '0.9018', 'depth_loss': '0.3516', 'vggt_mse_loss': '0.349', 'vggt_cos_loss': '0.02621', 'pidinet_loss': '0.2524', 'siglip_loss': '0.614', 'epoch': '0.2951'} + 91%|█████████████████████████████▏ | 8203/9000 [7:10:08<34:11, 2.57s/it][Dataset] cur_step=8204 phase=D_mixed_covt +[Dataset] cur_step=8204 phase=D_mixed_covt +[Dataset] cur_step=8204 phase=D_mixed_covt[Dataset] cur_step=8204 phase=D_mixed_covt + +[Dataset] cur_step=8204 phase=D_mixed_covt +[Dataset] cur_step=8204 phase=D_mixed_covt + 91%|█████████████████████████████▏ | 8204/9000 [7:10:08<33:41, 2.54s/it][Dataset] cur_step=8204 phase=D_mixed_covt +[Dataset] cur_step=8204 phase=D_mixed_covt + {'loss': '3.237', 'grad_norm': '3.068', 'learning_rate': '1.062e-06', 'epoch': '0.2951'} + 91%|█████████████████████████████▏ | 8204/9000 [7:10:08<33:41, 2.54s/it] {'lm_loss': '0.1071', 'visual_loss': '2.015', 'seg_loss': '0.6329', 'dino_loss': '0.8828', 'depth_loss': '0.1418', 'vggt_mse_loss': '0.1413', 'vggt_cos_loss': '0.005079', 'pidinet_loss': '0.11', 'siglip_loss': '0.2478', 'epoch': '0.2951'} + 91%|█████████████████████████████▏ | 8204/9000 [7:10:11<33:41, 2.54s/it][Dataset] cur_step=8205 phase=D_mixed_covt[Dataset] cur_step=8205 phase=D_mixed_covt + +[Dataset] cur_step=8205 phase=D_mixed_covt + 91%|█████████████████████████████▏ | 8205/9000 [7:10:11<35:21, 2.67s/it][Dataset] cur_step=8205 phase=D_mixed_covt[Dataset] cur_step=8205 phase=D_mixed_covt + +[Dataset] cur_step=8205 phase=D_mixed_covt +[Dataset] cur_step=8205 phase=D_mixed_covt +[Dataset] cur_step=8205 phase=D_mixed_covt + {'loss': '3.102', 'grad_norm': '3.728', 'learning_rate': '1.059e-06', 'epoch': '0.2952'} + 91%|█████████████████████████████▏ | 8205/9000 [7:10:11<35:21, 2.67s/it] {'lm_loss': '0.3464', 'visual_loss': '2.617', 'seg_loss': '0.613', 'dino_loss': '0.8789', 'depth_loss': '0.1672', 'vggt_mse_loss': '0.1657', 'vggt_cos_loss': '0.01441', 'pidinet_loss': '0.3288', 'siglip_loss': '0.6295', 'epoch': '0.2952'} + 91%|█████████████████████████████▏ | 8205/9000 [7:10:14<35:21, 2.67s/it][Dataset] cur_step=8206 phase=D_mixed_covt[Dataset] cur_step=8206 phase=D_mixed_covt + +[Dataset] cur_step=8206 phase=D_mixed_covt +[Dataset] cur_step=8206 phase=D_mixed_covt + 91%|█████████████████████████████▏ | 8206/9000 [7:10:15<37:53, 2.86s/it][Dataset] cur_step=8206 phase=D_mixed_covt +[Dataset] cur_step=8206 phase=D_mixed_covt +[Dataset] cur_step=8206 phase=D_mixed_covt +[Dataset] cur_step=8206 phase=D_mixed_covt + {'loss': '3.084', 'grad_norm': '2.376', 'learning_rate': '1.056e-06', 'epoch': '0.2952'} + 91%|█████████████████████████████▏ | 8206/9000 [7:10:15<37:53, 2.86s/it] {'lm_loss': '0.1277', 'visual_loss': '2.501', 'seg_loss': '0.6685', 'dino_loss': '0.9473', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2359', 'siglip_loss': '0.6497', 'epoch': '0.2952'} + 91%|█████████████████████████████▏ | 8206/9000 [7:10:15<37:53, 2.86s/it][Dataset] cur_step=8207 phase=D_mixed_covt[Dataset] cur_step=8207 phase=D_mixed_covt + +[Dataset] cur_step=8207 phase=D_mixed_covt +[Dataset] cur_step=8207 phase=D_mixed_covt +[Dataset] cur_step=8207 phase=D_mixed_covt +[Dataset] cur_step=8207 phase=D_mixed_covt +[Dataset] cur_step=8207 phase=D_mixed_covt + 91%|█████████████████████████████▏ | 8207/9000 [7:10:19<42:38, 3.23s/it][Dataset] cur_step=8207 phase=D_mixed_covt + {'loss': '2.741', 'grad_norm': '3.047', 'learning_rate': '1.054e-06', 'epoch': '0.2952'} + 91%|█████████████████████████████▏ | 8207/9000 [7:10:19<42:38, 3.23s/it] {'lm_loss': '0.7971', 'visual_loss': '2.162', 'seg_loss': '0.7193', 'dino_loss': '0.8904', 'depth_loss': '0.1551', 'vggt_mse_loss': '0.1544', 'vggt_cos_loss': '0.007107', 'pidinet_loss': '0.08286', 'siglip_loss': '0.314', 'epoch': '0.2952'} + 91%|█████████████████████████████▏ | 8207/9000 [7:10:22<42:38, 3.23s/it][Dataset] cur_step=8208 phase=D_mixed_covt +[Dataset] cur_step=8208 phase=D_mixed_covt[Dataset] cur_step=8208 phase=D_mixed_covt + +[Dataset] cur_step=8208 phase=D_mixed_covt[Dataset] cur_step=8208 phase=D_mixed_covt + +[Dataset] cur_step=8208 phase=D_mixed_covt + 91%|█████████████████████████████▏ | 8208/9000 [7:10:23<46:16, 3.51s/it][Dataset] cur_step=8208 phase=D_mixed_covt +[Dataset] cur_step=8208 phase=D_mixed_covt + {'loss': '3.224', 'grad_norm': '2.714', 'learning_rate': '1.051e-06', 'epoch': '0.2953'} + 91%|█████████████████████████████▏ | 8208/9000 [7:10:23<46:16, 3.51s/it] {'lm_loss': '0.6799', 'visual_loss': '1.723', 'seg_loss': '0', 'dino_loss': '0.8958', 'depth_loss': '0.3957', 'vggt_mse_loss': '0.3927', 'vggt_cos_loss': '0.0304', 'pidinet_loss': '0', 'siglip_loss': '0.4315', 'epoch': '0.2953'} + 91%|█████████████████████████████▏ | 8208/9000 [7:10:24<46:16, 3.51s/it][Dataset] cur_step=8209 phase=D_mixed_covt[Dataset] cur_step=8209 phase=D_mixed_covt +[Dataset] cur_step=8209 phase=D_mixed_covt + + 91%|█████████████████████████████▏ | 8209/9000 [7:10:24<36:52, 2.80s/it][Dataset] cur_step=8209 phase=D_mixed_covt +[Dataset] cur_step=8209 phase=D_mixed_covt +[Dataset] cur_step=8209 phase=D_mixed_covt +[Dataset] cur_step=8209 phase=D_mixed_covt +[Dataset] cur_step=8209 phase=D_mixed_covt + {'loss': '2.415', 'grad_norm': '3.147', 'learning_rate': '1.049e-06', 'epoch': '0.2953'} + 91%|█████████████████████████████▏ | 8209/9000 [7:10:24<36:52, 2.80s/it] {'lm_loss': '1.161', 'visual_loss': '1.859', 'seg_loss': '0.6257', 'dino_loss': '0', 'depth_loss': '0.2239', 'vggt_mse_loss': '0.2223', 'vggt_cos_loss': '0.01576', 'pidinet_loss': '0.275', 'siglip_loss': '0.7344', 'epoch': '0.2953'} + 91%|█████████████████████████████▏ | 8209/9000 [7:10:26<36:52, 2.80s/it][Dataset] cur_step=8210 phase=D_mixed_covt +[Dataset] cur_step=8210 phase=D_mixed_covt + 91%|█████████████████████████████▏ | 8210/9000 [7:10:26<33:43, 2.56s/it][Dataset] cur_step=8210 phase=D_mixed_covt +[Dataset] cur_step=8210 phase=D_mixed_covt +[Dataset] cur_step=8210 phase=D_mixed_covt +[Dataset] cur_step=8210 phase=D_mixed_covt +[Dataset] cur_step=8210 phase=D_mixed_covt +[Dataset] cur_step=8210 phase=D_mixed_covt + {'loss': '2.475', 'grad_norm': '4.04', 'learning_rate': '1.046e-06', 'epoch': '0.2954'} + 91%|█████████████████████████████▏ | 8210/9000 [7:10:26<33:43, 2.56s/it] {'lm_loss': '0.5711', 'visual_loss': '2.629', 'seg_loss': '0.6621', 'dino_loss': '0.8667', 'depth_loss': '0.1625', 'vggt_mse_loss': '0.1614', 'vggt_cos_loss': '0.011', 'pidinet_loss': '0.321', 'siglip_loss': '0.6166', 'epoch': '0.2954'} + 91%|█████████████████████████████▏ | 8210/9000 [7:10:28<33:43, 2.56s/it][Dataset] cur_step=8211 phase=D_mixed_covt +[Dataset] cur_step=8211 phase=D_mixed_covt +[Dataset] cur_step=8211 phase=D_mixed_covt[Dataset] cur_step=8211 phase=D_mixed_covt +[Dataset] cur_step=8211 phase=D_mixed_covt[Dataset] cur_step=8211 phase=D_mixed_covt + + + 91%|█████████████████████████████▏ | 8211/9000 [7:10:29<36:31, 2.78s/it][Dataset] cur_step=8211 phase=D_mixed_covt +[Dataset] cur_step=8211 phase=D_mixed_covt + {'loss': '3.257', 'grad_norm': '3.105', 'learning_rate': '1.043e-06', 'epoch': '0.2954'} + 91%|█████████████████████████████▏ | 8211/9000 [7:10:29<36:31, 2.78s/it] {'lm_loss': '0.962', 'visual_loss': '2.455', 'seg_loss': '0.6919', 'dino_loss': '0.8859', 'depth_loss': '0.2394', 'vggt_mse_loss': '0.2381', 'vggt_cos_loss': '0.01364', 'pidinet_loss': '0.2513', 'siglip_loss': '0.3861', 'epoch': '0.2954'} + 91%|█████████████████████████████▏ | 8211/9000 [7:10:32<36:31, 2.78s/it][Dataset] cur_step=8212 phase=D_mixed_covt +[Dataset] cur_step=8212 phase=D_mixed_covt 91%|█████████████████████████████▏ | 8212/9000 [7:10:32<36:38, 2.79s/it] +[Dataset] cur_step=8212 phase=D_mixed_covt +[Dataset] cur_step=8212 phase=D_mixed_covt +[Dataset] cur_step=8212 phase=D_mixed_covt +[Dataset] cur_step=8212 phase=D_mixed_covt[Dataset] cur_step=8212 phase=D_mixed_covt + +[Dataset] cur_step=8212 phase=D_mixed_covt + {'loss': '3.261', 'grad_norm': '4.56', 'learning_rate': '1.041e-06', 'epoch': '0.2954'} + 91%|█████████████████████████████▏ | 8212/9000 [7:10:32<36:38, 2.79s/it] {'lm_loss': '0.7469', 'visual_loss': '2.735', 'seg_loss': '0.9237', 'dino_loss': '0.8981', 'depth_loss': '0.1824', 'vggt_mse_loss': '0.1814', 'vggt_cos_loss': '0.00982', 'pidinet_loss': '0.252', 'siglip_loss': '0.4787', 'epoch': '0.2954'} + 91%|█████████████████████████████▏ | 8212/9000 [7:10:33<36:38, 2.79s/it][Dataset] cur_step=8213 phase=D_mixed_covt +[Dataset] cur_step=8213 phase=D_mixed_covt +[Dataset] cur_step=8213 phase=D_mixed_covt[Dataset] cur_step=8213 phase=D_mixed_covt + +[Dataset] cur_step=8213 phase=D_mixed_covt 91%|█████████████████████████████▏ | 8213/9000 [7:10:34<33:04, 2.52s/it] +[Dataset] cur_step=8213 phase=D_mixed_covt +[Dataset] cur_step=8213 phase=D_mixed_covt +[Dataset] cur_step=8213 phase=D_mixed_covt + {'loss': '3.436', 'grad_norm': '7.442', 'learning_rate': '1.038e-06', 'epoch': '0.2955'} + 91%|█████████████████████████████▏ | 8213/9000 [7:10:34<33:04, 2.52s/it] {'lm_loss': '0.08679', 'visual_loss': '2.583', 'seg_loss': '0.6317', 'dino_loss': '0.9467', 'depth_loss': '0.1917', 'vggt_mse_loss': '0.1904', 'vggt_cos_loss': '0.01301', 'pidinet_loss': '0.2594', 'siglip_loss': '0.5536', 'epoch': '0.2955'} + 91%|█████████████████████████████▏ | 8213/9000 [7:10:36<33:04, 2.52s/it][Dataset] cur_step=8214 phase=D_mixed_covt +[Dataset] cur_step=8214 phase=D_mixed_covt[Dataset] cur_step=8214 phase=D_mixed_covt + +[Dataset] cur_step=8214 phase=D_mixed_covt[Dataset] cur_step=8214 phase=D_mixed_covt + + 91%|█████████████████████████████▏ | 8214/9000 [7:10:37<33:21, 2.55s/it][Dataset] cur_step=8214 phase=D_mixed_covt[Dataset] cur_step=8214 phase=D_mixed_covt + +[Dataset] cur_step=8214 phase=D_mixed_covt + {'loss': '3.188', 'grad_norm': '2.927', 'learning_rate': '1.035e-06', 'epoch': '0.2955'} + 91%|█████████████████████████████▏ | 8214/9000 [7:10:37<33:21, 2.55s/it] {'lm_loss': '0.6095', 'visual_loss': '2.533', 'seg_loss': '0.729', 'dino_loss': '0.9099', 'depth_loss': '0.2234', 'vggt_mse_loss': '0.2212', 'vggt_cos_loss': '0.0215', 'pidinet_loss': '0.2227', 'siglip_loss': '0.4481', 'epoch': '0.2955'} + 91%|█████████████████████████████▏ | 8214/9000 [7:10:38<33:21, 2.55s/it][Dataset] cur_step=8215 phase=D_mixed_covt +[Dataset] cur_step=8215 phase=D_mixed_covt 91%|█████████████████████████████▏ | 8215/9000 [7:10:38<30:51, 2.36s/it][Dataset] cur_step=8215 phase=D_mixed_covt[Dataset] cur_step=8215 phase=D_mixed_covt +[Dataset] cur_step=8215 phase=D_mixed_covt + + +[Dataset] cur_step=8215 phase=D_mixed_covt +[Dataset] cur_step=8215 phase=D_mixed_covt +[Dataset] cur_step=8215 phase=D_mixed_covt + {'loss': '3.045', 'grad_norm': '15.95', 'learning_rate': '1.033e-06', 'epoch': '0.2955'} + 91%|█████████████████████████████▏ | 8215/9000 [7:10:38<30:51, 2.36s/it] {'lm_loss': '0.7536', 'visual_loss': '2.083', 'seg_loss': '0.577', 'dino_loss': '0.8823', 'depth_loss': '0.2475', 'vggt_mse_loss': '0.2453', 'vggt_cos_loss': '0.02174', 'pidinet_loss': '0.09665', 'siglip_loss': '0.2801', 'epoch': '0.2955'} + 91%|█████████████████████████████▏ | 8215/9000 [7:10:41<30:51, 2.36s/it][Dataset] cur_step=8216 phase=D_mixed_covt +[Dataset] cur_step=8216 phase=D_mixed_covt + 91%|█████████████████████████████▏ | 8216/9000 [7:10:41<32:02, 2.45s/it][Dataset] cur_step=8216 phase=D_mixed_covt +[Dataset] cur_step=8216 phase=D_mixed_covt +[Dataset] cur_step=8216 phase=D_mixed_covt +[Dataset] cur_step=8216 phase=D_mixed_covt +[Dataset] cur_step=8216 phase=D_mixed_covt +[Dataset] cur_step=8216 phase=D_mixed_covt + {'loss': '3.087', 'grad_norm': '2.471', 'learning_rate': '1.03e-06', 'epoch': '0.2956'} + 91%|█████████████████████████████▏ | 8216/9000 [7:10:41<32:02, 2.45s/it] {'lm_loss': '0.04216', 'visual_loss': '2.328', 'seg_loss': '0.5562', 'dino_loss': '0.8867', 'depth_loss': '0.2079', 'vggt_mse_loss': '0.2068', 'vggt_cos_loss': '0.01074', 'pidinet_loss': '0.1335', 'siglip_loss': '0.544', 'epoch': '0.2956'} + 91%|█████████████████████████████▏ | 8216/9000 [7:10:44<32:02, 2.45s/it][Dataset] cur_step=8217 phase=D_mixed_covt + 91%|█████████████████████████████▏ | 8217/9000 [7:10:45<36:04, 2.76s/it][Dataset] cur_step=8217 phase=D_mixed_covt +[Dataset] cur_step=8217 phase=D_mixed_covt +[Dataset] cur_step=8217 phase=D_mixed_covt +[Dataset] cur_step=8217 phase=D_mixed_covt +[Dataset] cur_step=8217 phase=D_mixed_covt +[Dataset] cur_step=8217 phase=D_mixed_covt +[Dataset] cur_step=8217 phase=D_mixed_covt + {'loss': '2.893', 'grad_norm': '2.005', 'learning_rate': '1.028e-06', 'epoch': '0.2956'} + 91%|█████████████████████████████▏ | 8217/9000 [7:10:45<36:04, 2.76s/it] {'lm_loss': '0.7857', 'visual_loss': '2.265', 'seg_loss': '0.6718', 'dino_loss': '0.8852', 'depth_loss': '0.2304', 'vggt_mse_loss': '0.2288', 'vggt_cos_loss': '0.01572', 'pidinet_loss': '0.2765', 'siglip_loss': '0.2013', 'epoch': '0.2956'} + 91%|█████████████████████████████▏ | 8217/9000 [7:10:47<36:04, 2.76s/it][Dataset] cur_step=8218 phase=D_mixed_covt +[Dataset] cur_step=8218 phase=D_mixed_covt +[Dataset] cur_step=8218 phase=D_mixed_covt[Dataset] cur_step=8218 phase=D_mixed_covt + +[Dataset] cur_step=8218 phase=D_mixed_covt + 91%|█████████████████████████████▏ | 8218/9000 [7:10:48<37:56, 2.91s/it][Dataset] cur_step=8218 phase=D_mixed_covt +[Dataset] cur_step=8218 phase=D_mixed_covt +[Dataset] cur_step=8218 phase=D_mixed_covt + {'loss': '3.295', 'grad_norm': '2.981', 'learning_rate': '1.025e-06', 'epoch': '0.2956'} + 91%|█████████████████████████████▏ | 8218/9000 [7:10:48<37:56, 2.91s/it] {'lm_loss': '0.1291', 'visual_loss': '1.105', 'seg_loss': '0.4623', 'dino_loss': '0', 'depth_loss': '0.1608', 'vggt_mse_loss': '0.1599', 'vggt_cos_loss': '0.008809', 'pidinet_loss': '0.1361', 'siglip_loss': '0.3455', 'epoch': '0.2956'} + 91%|█████████████████████████████▏ | 8218/9000 [7:10:51<37:56, 2.91s/it][Dataset] cur_step=8219 phase=D_mixed_covt +[Dataset] cur_step=8219 phase=D_mixed_covt +[Dataset] cur_step=8219 phase=D_mixed_covt 91%|█████████████████████████████▏ | 8219/9000 [7:10:51<39:52, 3.06s/it] +[Dataset] cur_step=8219 phase=D_mixed_covt +[Dataset] cur_step=8219 phase=D_mixed_covt +[Dataset] cur_step=8219 phase=D_mixed_covt +[Dataset] cur_step=8219 phase=D_mixed_covt +[Dataset] cur_step=8219 phase=D_mixed_covt + {'loss': '2.08', 'grad_norm': '3.308', 'learning_rate': '1.022e-06', 'epoch': '0.2957'} + 91%|█████████████████████████████▏ | 8219/9000 [7:10:51<39:52, 3.06s/it] {'lm_loss': '0.7026', 'visual_loss': '2.796', 'seg_loss': '0.6698', 'dino_loss': '0.8991', 'depth_loss': '0.401', 'vggt_mse_loss': '0.3977', 'vggt_cos_loss': '0.03264', 'pidinet_loss': '0', 'siglip_loss': '0.8259', 'epoch': '0.2957'} + 91%|█████████████████████████████▏ | 8219/9000 [7:10:53<39:52, 3.06s/it][Dataset] cur_step=8220 phase=D_mixed_covt +[Dataset] cur_step=8220 phase=D_mixed_covt +[Dataset] cur_step=8220 phase=D_mixed_covt +[Dataset] cur_step=8220 phase=D_mixed_covt +[Dataset] cur_step=8220 phase=D_mixed_covt +[Dataset] cur_step=8220 phase=D_mixed_covt[Dataset] cur_step=8220 phase=D_mixed_covt + 91%|█████████████████████████████▏ | 8220/9000 [7:10:53<35:07, 2.70s/it] +[Dataset] cur_step=8220 phase=D_mixed_covt + {'loss': '3.293', 'grad_norm': '2.808', 'learning_rate': '1.02e-06', 'epoch': '0.2957'} + 91%|█████████████████████████████▏ | 8220/9000 [7:10:53<35:07, 2.70s/it] {'lm_loss': '1.05', 'visual_loss': '2.585', 'seg_loss': '0.7612', 'dino_loss': '0.909', 'depth_loss': '0.3051', 'vggt_mse_loss': '0.3024', 'vggt_cos_loss': '0.02723', 'pidinet_loss': '0.1894', 'siglip_loss': '0.4199', 'epoch': '0.2957'} + 91%|█████████████████████████████▏ | 8220/9000 [7:10:55<35:07, 2.70s/it][Dataset] cur_step=8221 phase=D_mixed_covt +[Dataset] cur_step=8221 phase=D_mixed_covt[Dataset] cur_step=8221 phase=D_mixed_covt[Dataset] cur_step=8221 phase=D_mixed_covt + + +[Dataset] cur_step=8221 phase=D_mixed_covt[Dataset] cur_step=8221 phase=D_mixed_covt 91%|█████████████████████████████▏ | 8221/9000 [7:10:56<34:27, 2.65s/it] + +[Dataset] cur_step=8221 phase=D_mixed_covt +[Dataset] cur_step=8221 phase=D_mixed_covt + {'loss': '3.366', 'grad_norm': '4.389', 'learning_rate': '1.017e-06', 'epoch': '0.2958'} + 91%|█████████████████████████████▏ | 8221/9000 [7:10:56<34:27, 2.65s/it] {'lm_loss': '0.9072', 'visual_loss': '2.177', 'seg_loss': '0.8036', 'dino_loss': '0.9168', 'depth_loss': '0.1993', 'vggt_mse_loss': '0.1982', 'vggt_cos_loss': '0.01057', 'pidinet_loss': '0.2574', 'siglip_loss': '0', 'epoch': '0.2958'} + 91%|█████████████████████████████▏ | 8221/9000 [7:10:58<34:27, 2.65s/it][Dataset] cur_step=8222 phase=D_mixed_covt +[Dataset] cur_step=8222 phase=D_mixed_covt +[Dataset] cur_step=8222 phase=D_mixed_covt + 91%|█████████████████████████████▏ | 8222/9000 [7:10:59<35:08, 2.71s/it][Dataset] cur_step=8222 phase=D_mixed_covt +[Dataset] cur_step=8222 phase=D_mixed_covt[Dataset] cur_step=8222 phase=D_mixed_covt +[Dataset] cur_step=8222 phase=D_mixed_covt + +[Dataset] cur_step=8222 phase=D_mixed_covt + {'loss': '2.679', 'grad_norm': '3.687', 'learning_rate': '1.015e-06', 'epoch': '0.2958'} + 91%|█████████████████████████████▏ | 8222/9000 [7:10:59<35:08, 2.71s/it] {'lm_loss': '0.8033', 'visual_loss': '3.034', 'seg_loss': '0.8781', 'dino_loss': '0.9542', 'depth_loss': '0.3619', 'vggt_mse_loss': '0.3581', 'vggt_cos_loss': '0.03706', 'pidinet_loss': '0.3575', 'siglip_loss': '0.4828', 'epoch': '0.2958'} + 91%|█████████████████████████████▏ | 8222/9000 [7:11:03<35:08, 2.71s/it][Dataset] cur_step=8223 phase=D_mixed_covt + 91%|█████████████████████████████▏ | 8223/9000 [7:11:04<45:17, 3.50s/it][Dataset] cur_step=8223 phase=D_mixed_covt +[Dataset] cur_step=8223 phase=D_mixed_covt[Dataset] cur_step=8223 phase=D_mixed_covt + +[Dataset] cur_step=8223 phase=D_mixed_covt[Dataset] cur_step=8223 phase=D_mixed_covt + +[Dataset] cur_step=8223 phase=D_mixed_covt[Dataset] cur_step=8223 phase=D_mixed_covt + + {'loss': '3.313', 'grad_norm': '2.514', 'learning_rate': '1.012e-06', 'epoch': '0.2958'} + 91%|█████████████████████████████▏ | 8223/9000 [7:11:04<45:17, 3.50s/it] {'lm_loss': '1.028', 'visual_loss': '1.494', 'seg_loss': '0.5825', 'dino_loss': '0', 'depth_loss': '0.1494', 'vggt_mse_loss': '0.1484', 'vggt_cos_loss': '0.01055', 'pidinet_loss': '0.09257', 'siglip_loss': '0.6698', 'epoch': '0.2958'} + 91%|█████████████████████████████▏ | 8223/9000 [7:11:05<45:17, 3.50s/it][Dataset] cur_step=8224 phase=D_mixed_covt[Dataset] cur_step=8224 phase=D_mixed_covt + +[Dataset] cur_step=8224 phase=D_mixed_covt + 91%|█████████████████████████████▏ | 8224/9000 [7:11:06<39:33, 3.06s/it][Dataset] cur_step=8224 phase=D_mixed_covt +[Dataset] cur_step=8224 phase=D_mixed_covt[Dataset] cur_step=8224 phase=D_mixed_covt[Dataset] cur_step=8224 phase=D_mixed_covt + + +[Dataset] cur_step=8224 phase=D_mixed_covt + {'loss': '2.71', 'grad_norm': '2.507', 'learning_rate': '1.009e-06', 'epoch': '0.2959'} + 91%|█████████████████████████████▏ | 8224/9000 [7:11:06<39:33, 3.06s/it] {'lm_loss': '0.2248', 'visual_loss': '2.327', 'seg_loss': '0.5624', 'dino_loss': '0.8927', 'depth_loss': '0.1618', 'vggt_mse_loss': '0.1608', 'vggt_cos_loss': '0.009867', 'pidinet_loss': '0.2691', 'siglip_loss': '0.441', 'epoch': '0.2959'} + 91%|█████████████████████████████▏ | 8224/9000 [7:11:07<39:33, 3.06s/it][Dataset] cur_step=8225 phase=D_mixed_covt +[Dataset] cur_step=8225 phase=D_mixed_covt +[Dataset] cur_step=8225 phase=D_mixed_covt[Dataset] cur_step=8225 phase=D_mixed_covt + +[Dataset] cur_step=8225 phase=D_mixed_covt 91%|█████████████████████████████▏ | 8225/9000 [7:11:08<35:12, 2.73s/it] +[Dataset] cur_step=8225 phase=D_mixed_covt +[Dataset] cur_step=8225 phase=D_mixed_covt +[Dataset] cur_step=8225 phase=D_mixed_covt + {'loss': '3.221', 'grad_norm': '4.743', 'learning_rate': '1.007e-06', 'epoch': '0.2959'} + 91%|█████████████████████████████▏ | 8225/9000 [7:11:08<35:12, 2.73s/it] {'lm_loss': '1.528', 'visual_loss': '2.197', 'seg_loss': '0.4774', 'dino_loss': '0.8716', 'depth_loss': '0.2114', 'vggt_mse_loss': '0.2102', 'vggt_cos_loss': '0.01165', 'pidinet_loss': '0.2182', 'siglip_loss': '0.4186', 'epoch': '0.2959'} + 91%|█████████████████████████████▏ | 8225/9000 [7:11:10<35:12, 2.73s/it][Dataset] cur_step=8226 phase=D_mixed_covt + 91%|█████████████████████████████▏ | 8226/9000 [7:11:10<33:06, 2.57s/it][Dataset] cur_step=8226 phase=D_mixed_covt[Dataset] cur_step=8226 phase=D_mixed_covt + +[Dataset] cur_step=8226 phase=D_mixed_covt +[Dataset] cur_step=8226 phase=D_mixed_covt +[Dataset] cur_step=8226 phase=D_mixed_covt +[Dataset] cur_step=8226 phase=D_mixed_covt +[Dataset] cur_step=8226 phase=D_mixed_covt + {'loss': '3.374', 'grad_norm': '3.055', 'learning_rate': '1.004e-06', 'epoch': '0.2959'} + 91%|█████████████████████████████▏ | 8226/9000 [7:11:10<33:06, 2.57s/it] {'lm_loss': '1.012', 'visual_loss': '2.843', 'seg_loss': '0.8048', 'dino_loss': '0.8699', 'depth_loss': '0.1539', 'vggt_mse_loss': '0.1529', 'vggt_cos_loss': '0.0105', 'pidinet_loss': '0.295', 'siglip_loss': '0.7193', 'epoch': '0.2959'} + 91%|█████████████████████████████▏ | 8226/9000 [7:11:12<33:06, 2.57s/it][Dataset] cur_step=8227 phase=D_mixed_covt[Dataset] cur_step=8227 phase=D_mixed_covt +[Dataset] cur_step=8227 phase=D_mixed_covt + +[Dataset] cur_step=8227 phase=D_mixed_covt +[Dataset] cur_step=8227 phase=D_mixed_covt[Dataset] cur_step=8227 phase=D_mixed_covt + +[Dataset] cur_step=8227 phase=D_mixed_covt +[Dataset] cur_step=8227 phase=D_mixed_covt + 91%|█████████████████████████████▎ | 8227/9000 [7:11:13<36:10, 2.81s/it] {'loss': '3.214', 'grad_norm': '2.581', 'learning_rate': '1.002e-06', 'epoch': '0.296'} + 91%|█████████████████████████████▎ | 8227/9000 [7:11:13<36:10, 2.81s/it] {'lm_loss': '0.07023', 'visual_loss': '2.369', 'seg_loss': '0.6756', 'dino_loss': '0.9098', 'depth_loss': '0.2371', 'vggt_mse_loss': '0.2354', 'vggt_cos_loss': '0.01702', 'pidinet_loss': '0.1429', 'siglip_loss': '0.4031', 'epoch': '0.296'} + 91%|█████████████████████████████▎ | 8227/9000 [7:11:15<36:10, 2.81s/it][Dataset] cur_step=8228 phase=D_mixed_covt +[Dataset] cur_step=8228 phase=D_mixed_covt[Dataset] cur_step=8228 phase=D_mixed_covt + +[Dataset] cur_step=8228 phase=D_mixed_covt +[Dataset] cur_step=8228 phase=D_mixed_covt[Dataset] cur_step=8228 phase=D_mixed_covt + + 91%|█████████████████████████████▎ | 8228/9000 [7:11:16<35:42, 2.78s/it][Dataset] cur_step=8228 phase=D_mixed_covt +[Dataset] cur_step=8228 phase=D_mixed_covt + {'loss': '3.016', 'grad_norm': '2.513', 'learning_rate': '9.991e-07', 'epoch': '0.296'} + 91%|█████████████████████████████▎ | 8228/9000 [7:11:16<35:42, 2.78s/it] {'lm_loss': '0.1166', 'visual_loss': '2.326', 'seg_loss': '0.7541', 'dino_loss': '0.9155', 'depth_loss': '0.1896', 'vggt_mse_loss': '0.1883', 'vggt_cos_loss': '0.01343', 'pidinet_loss': '0', 'siglip_loss': '0.4666', 'epoch': '0.296'} + 91%|█████████████████████████████▎ | 8228/9000 [7:11:19<35:42, 2.78s/it][Dataset] cur_step=8229 phase=D_mixed_covt[Dataset] cur_step=8229 phase=D_mixed_covt + +[Dataset] cur_step=8229 phase=D_mixed_covt +[Dataset] cur_step=8229 phase=D_mixed_covt +[Dataset] cur_step=8229 phase=D_mixed_covt[Dataset] cur_step=8229 phase=D_mixed_covt + +[Dataset] cur_step=8229 phase=D_mixed_covt 91%|█████████████████████████████▎ | 8229/9000 [7:11:19<37:42, 2.93s/it] +[Dataset] cur_step=8229 phase=D_mixed_covt + {'loss': '3.14', 'grad_norm': '2.646', 'learning_rate': '9.965e-07', 'epoch': '0.296'} + 91%|█████████████████████████████▎ | 8229/9000 [7:11:19<37:42, 2.93s/it] {'lm_loss': '0.9064', 'visual_loss': '2.791', 'seg_loss': '0.6781', 'dino_loss': '0.9092', 'depth_loss': '0.3467', 'vggt_mse_loss': '0.3439', 'vggt_cos_loss': '0.02866', 'pidinet_loss': '0.2452', 'siglip_loss': '0.6117', 'epoch': '0.296'} + 91%|█████████████████████████████▎ | 8229/9000 [7:11:22<37:42, 2.93s/it][Dataset] cur_step=8230 phase=D_mixed_covt +[Dataset] cur_step=8230 phase=D_mixed_covt +[Dataset] cur_step=8230 phase=D_mixed_covt +[Dataset] cur_step=8230 phase=D_mixed_covt +[Dataset] cur_step=8230 phase=D_mixed_covt[Dataset] cur_step=8230 phase=D_mixed_covt + +[Dataset] cur_step=8230 phase=D_mixed_covt +[Dataset] cur_step=8230 phase=D_mixed_covt + 91%|█████████████████████████████▎ | 8230/9000 [7:11:23<40:01, 3.12s/it] {'loss': '3.122', 'grad_norm': '3.149', 'learning_rate': '9.939e-07', 'epoch': '0.2961'} + 91%|█████████████████████████████▎ | 8230/9000 [7:11:23<40:01, 3.12s/it] {'lm_loss': '0.903', 'visual_loss': '2.274', 'seg_loss': '0.5696', 'dino_loss': '0.8957', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2806', 'siglip_loss': '0.5284', 'epoch': '0.2961'} + 91%|█████████████████████████████▎ | 8230/9000 [7:11:24<40:01, 3.12s/it][Dataset] cur_step=8231 phase=D_mixed_covt +[Dataset] cur_step=8231 phase=D_mixed_covt +[Dataset] cur_step=8231 phase=D_mixed_covt[Dataset] cur_step=8231 phase=D_mixed_covt +[Dataset] cur_step=8231 phase=D_mixed_covt + + 91%|█████████████████████████████▎ | 8231/9000 [7:11:24<33:51, 2.64s/it][Dataset] cur_step=8231 phase=D_mixed_covt +[Dataset] cur_step=8231 phase=D_mixed_covt[Dataset] cur_step=8231 phase=D_mixed_covt + + {'loss': '3.256', 'grad_norm': '3.727', 'learning_rate': '9.914e-07', 'epoch': '0.2961'} + 91%|█████████████████████████████▎ | 8231/9000 [7:11:24<33:51, 2.64s/it] {'lm_loss': '0.9207', 'visual_loss': '2.598', 'seg_loss': '0.792', 'dino_loss': '0.911', 'depth_loss': '0.2451', 'vggt_mse_loss': '0.2432', 'vggt_cos_loss': '0.01949', 'pidinet_loss': '0.1948', 'siglip_loss': '0.4553', 'epoch': '0.2961'} + 91%|█████████████████████████████▎ | 8231/9000 [7:11:26<33:51, 2.64s/it][Dataset] cur_step=8232 phase=D_mixed_covt[Dataset] cur_step=8232 phase=D_mixed_covt +[Dataset] cur_step=8232 phase=D_mixed_covt +[Dataset] cur_step=8232 phase=D_mixed_covt + + 91%|█████████████████████████████▎ | 8232/9000 [7:11:27<31:27, 2.46s/it][Dataset] cur_step=8232 phase=D_mixed_covt +[Dataset] cur_step=8232 phase=D_mixed_covt +[Dataset] cur_step=8232 phase=D_mixed_covt +[Dataset] cur_step=8232 phase=D_mixed_covt + {'loss': '3.274', 'grad_norm': '2.723', 'learning_rate': '9.888e-07', 'epoch': '0.2961'} + 91%|█████████████████████████████▎ | 8232/9000 [7:11:27<31:27, 2.46s/it] {'lm_loss': '0.7965', 'visual_loss': '2.628', 'seg_loss': '0.672', 'dino_loss': '0.9213', 'depth_loss': '0.1701', 'vggt_mse_loss': '0.1692', 'vggt_cos_loss': '0.009063', 'pidinet_loss': '0.2227', 'siglip_loss': '0.642', 'epoch': '0.2961'} + 91%|█████████████████████████████▎ | 8232/9000 [7:11:29<31:27, 2.46s/it][Dataset] cur_step=8233 phase=D_mixed_covt +[Dataset] cur_step=8233 phase=D_mixed_covt +[Dataset] cur_step=8233 phase=D_mixed_covt +[Dataset] cur_step=8233 phase=D_mixed_covt +[Dataset] cur_step=8233 phase=D_mixed_covt +[Dataset] cur_step=8233 phase=D_mixed_covt + 91%|█████████████████████████████▎ | 8233/9000 [7:11:30<35:40, 2.79s/it][Dataset] cur_step=8233 phase=D_mixed_covt +[Dataset] cur_step=8233 phase=D_mixed_covt + {'loss': '3.205', 'grad_norm': '2.777', 'learning_rate': '9.863e-07', 'epoch': '0.2962'} + 91%|█████████████████████████████▎ | 8233/9000 [7:11:30<35:40, 2.79s/it] {'lm_loss': '0.08054', 'visual_loss': '2.749', 'seg_loss': '0.6905', 'dino_loss': '0.8769', 'depth_loss': '0.3102', 'vggt_mse_loss': '0.308', 'vggt_cos_loss': '0.02242', 'pidinet_loss': '0.2676', 'siglip_loss': '0.6038', 'epoch': '0.2962'} + 91%|█████████████████████████████▎ | 8233/9000 [7:11:32<35:40, 2.79s/it][Dataset] cur_step=8234 phase=D_mixed_covt +[Dataset] cur_step=8234 phase=D_mixed_covt +[Dataset] cur_step=8234 phase=D_mixed_covt +[Dataset] cur_step=8234 phase=D_mixed_covt +[Dataset] cur_step=8234 phase=D_mixed_covt +[Dataset] cur_step=8234 phase=D_mixed_covt +[Dataset] cur_step=8234 phase=D_mixed_covt + 91%|█████████████████████████████▎ | 8234/9000 [7:11:32<33:55, 2.66s/it][Dataset] cur_step=8234 phase=D_mixed_covt + {'loss': '3.24', 'grad_norm': '4.518', 'learning_rate': '9.837e-07', 'epoch': '0.2962'} + 91%|█████████████████████████████▎ | 8234/9000 [7:11:32<33:55, 2.66s/it] {'lm_loss': '0.8195', 'visual_loss': '2.677', 'seg_loss': '0.8162', 'dino_loss': '0.8901', 'depth_loss': '0.1971', 'vggt_mse_loss': '0.1957', 'vggt_cos_loss': '0.01321', 'pidinet_loss': '0.2802', 'siglip_loss': '0.4932', 'epoch': '0.2962'} + 91%|█████████████████████████████▎ | 8234/9000 [7:11:34<33:55, 2.66s/it][Dataset] cur_step=8235 phase=D_mixed_covt[Dataset] cur_step=8235 phase=D_mixed_covt + +[Dataset] cur_step=8235 phase=D_mixed_covt +[Dataset] cur_step=8235 phase=D_mixed_covt[Dataset] cur_step=8235 phase=D_mixed_covt + +[Dataset] cur_step=8235 phase=D_mixed_covt +[Dataset] cur_step=8235 phase=D_mixed_covt +[Dataset] cur_step=8235 phase=D_mixed_covt + 92%|█████████████████████████████▎ | 8235/9000 [7:11:34<31:09, 2.44s/it] {'loss': '3.226', 'grad_norm': '3.154', 'learning_rate': '9.812e-07', 'epoch': '0.2963'} + 92%|█████████████████████████████▎ | 8235/9000 [7:11:34<31:09, 2.44s/it] {'lm_loss': '0.5682', 'visual_loss': '2.564', 'seg_loss': '0.6732', 'dino_loss': '0.8908', 'depth_loss': '0.2437', 'vggt_mse_loss': '0.2419', 'vggt_cos_loss': '0.01788', 'pidinet_loss': '0.1807', 'siglip_loss': '0.5761', 'epoch': '0.2963'} + 92%|█████████████████████████████▎ | 8235/9000 [7:11:36<31:09, 2.44s/it][Dataset] cur_step=8236 phase=D_mixed_covt +[Dataset] cur_step=8236 phase=D_mixed_covt +[Dataset] cur_step=8236 phase=D_mixed_covt[Dataset] cur_step=8236 phase=D_mixed_covt + +[Dataset] cur_step=8236 phase=D_mixed_covt +[Dataset] cur_step=8236 phase=D_mixed_covt +[Dataset] cur_step=8236 phase=D_mixed_covt + 92%|█████████████████████████████▎ | 8236/9000 [7:11:36<28:51, 2.27s/it][Dataset] cur_step=8236 phase=D_mixed_covt + {'loss': '3.413', 'grad_norm': '4.06', 'learning_rate': '9.786e-07', 'epoch': '0.2963'} + 92%|█████████████████████████████▎ | 8236/9000 [7:11:36<28:51, 2.27s/it] {'lm_loss': '0.2716', 'visual_loss': '2.548', 'seg_loss': '0.7048', 'dino_loss': '0.9047', 'depth_loss': '0.1995', 'vggt_mse_loss': '0.1982', 'vggt_cos_loss': '0.01322', 'pidinet_loss': '0.2383', 'siglip_loss': '0.5006', 'epoch': '0.2963'} + 92%|█████████████████████████████▎ | 8236/9000 [7:11:38<28:51, 2.27s/it][Dataset] cur_step=8237 phase=D_mixed_covt +[Dataset] cur_step=8237 phase=D_mixed_covt +[Dataset] cur_step=8237 phase=D_mixed_covt[Dataset] cur_step=8237 phase=D_mixed_covt + +[Dataset] cur_step=8237 phase=D_mixed_covt[Dataset] cur_step=8237 phase=D_mixed_covt + 92%|█████████████████████████████▎ | 8237/9000 [7:11:39<29:52, 2.35s/it] +[Dataset] cur_step=8237 phase=D_mixed_covt +[Dataset] cur_step=8237 phase=D_mixed_covt + {'loss': '3.353', 'grad_norm': '6.731', 'learning_rate': '9.761e-07', 'epoch': '0.2963'} + 92%|█████████████████████████████▎ | 8237/9000 [7:11:39<29:52, 2.35s/it] {'lm_loss': '0.5484', 'visual_loss': '2.706', 'seg_loss': '0.8084', 'dino_loss': '0.9325', 'depth_loss': '0.1473', 'vggt_mse_loss': '0.1464', 'vggt_cos_loss': '0.008983', 'pidinet_loss': '0.1862', 'siglip_loss': '0.6312', 'epoch': '0.2963'} + 92%|█████████████████████████████▎ | 8237/9000 [7:11:41<29:52, 2.35s/it][Dataset] cur_step=8238 phase=D_mixed_covt +[Dataset] cur_step=8238 phase=D_mixed_covt +[Dataset] cur_step=8238 phase=D_mixed_covt +[Dataset] cur_step=8238 phase=D_mixed_covt +[Dataset] cur_step=8238 phase=D_mixed_covt +[Dataset] cur_step=8238 phase=D_mixed_covt +[Dataset] cur_step=8238 phase=D_mixed_covt +[Dataset] cur_step=8238 phase=D_mixed_covt + 92%|█████████████████████████████▎ | 8238/9000 [7:11:42<31:29, 2.48s/it] {'loss': '3.462', 'grad_norm': '2.949', 'learning_rate': '9.735e-07', 'epoch': '0.2964'} + 92%|█████████████████████████████▎ | 8238/9000 [7:11:42<31:29, 2.48s/it] {'lm_loss': '0.3697', 'visual_loss': '2.424', 'seg_loss': '0.6404', 'dino_loss': '0.9348', 'depth_loss': '0.2831', 'vggt_mse_loss': '0.2807', 'vggt_cos_loss': '0.02459', 'pidinet_loss': '0.2025', 'siglip_loss': '0.3628', 'epoch': '0.2964'} + 92%|█████████████████████████████▎ | 8238/9000 [7:11:44<31:29, 2.48s/it][Dataset] cur_step=8239 phase=D_mixed_covt +[Dataset] cur_step=8239 phase=D_mixed_covt[Dataset] cur_step=8239 phase=D_mixed_covt + + 92%|█████████████████████████████▎ | 8239/9000 [7:11:45<34:11, 2.70s/it][Dataset] cur_step=8239 phase=D_mixed_covt +[Dataset] cur_step=8239 phase=D_mixed_covt +[Dataset] cur_step=8239 phase=D_mixed_covt +[Dataset] cur_step=8239 phase=D_mixed_covt +[Dataset] cur_step=8239 phase=D_mixed_covt + {'loss': '3.181', 'grad_norm': '3.151', 'learning_rate': '9.71e-07', 'epoch': '0.2964'} + 92%|█████████████████████████████▎ | 8239/9000 [7:11:45<34:11, 2.70s/it] {'lm_loss': '0.5509', 'visual_loss': '3.153', 'seg_loss': '0.6528', 'dino_loss': '0.9114', 'depth_loss': '0.1573', 'vggt_mse_loss': '0.1562', 'vggt_cos_loss': '0.01097', 'pidinet_loss': '0.239', 'siglip_loss': '1.193', 'epoch': '0.2964'} + 92%|█████████████████████████████▎ | 8239/9000 [7:11:48<34:11, 2.70s/it][Dataset] cur_step=8240 phase=D_mixed_covt +[Dataset] cur_step=8240 phase=D_mixed_covt[Dataset] cur_step=8240 phase=D_mixed_covt +[Dataset] cur_step=8240 phase=D_mixed_covt + + 92%|█████████████████████████████▎ | 8240/9000 [7:11:48<37:36, 2.97s/it][Dataset] cur_step=8240 phase=D_mixed_covt +[Dataset] cur_step=8240 phase=D_mixed_covt +[Dataset] cur_step=8240 phase=D_mixed_covt[Dataset] cur_step=8240 phase=D_mixed_covt + + {'loss': '3.318', 'grad_norm': '2.814', 'learning_rate': '9.685e-07', 'epoch': '0.2964'} + 92%|█████████████████████████████▎ | 8240/9000 [7:11:48<37:36, 2.97s/it] {'lm_loss': '0.7369', 'visual_loss': '2.675', 'seg_loss': '0.8442', 'dino_loss': '0.9334', 'depth_loss': '0.2372', 'vggt_mse_loss': '0.2359', 'vggt_cos_loss': '0.01312', 'pidinet_loss': '0.2622', 'siglip_loss': '0.3981', 'epoch': '0.2964'} + 92%|█████████████████████████████▎ | 8240/9000 [7:11:50<37:36, 2.97s/it][Dataset] cur_step=8241 phase=D_mixed_covt[Dataset] cur_step=8241 phase=D_mixed_covt + +[Dataset] cur_step=8241 phase=D_mixed_covt[Dataset] cur_step=8241 phase=D_mixed_covt + +[Dataset] cur_step=8241 phase=D_mixed_covt[Dataset] cur_step=8241 phase=D_mixed_covt + 92%|█████████████████████████████▎ | 8241/9000 [7:11:50<32:54, 2.60s/it] +[Dataset] cur_step=8241 phase=D_mixed_covt +[Dataset] cur_step=8241 phase=D_mixed_covt + {'loss': '3.329', 'grad_norm': '2.94', 'learning_rate': '9.659e-07', 'epoch': '0.2965'} + 92%|█████████████████████████████▎ | 8241/9000 [7:11:50<32:54, 2.60s/it] {'lm_loss': '0.7075', 'visual_loss': '2.219', 'seg_loss': '0.6716', 'dino_loss': '0.9341', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.252', 'siglip_loss': '0.361', 'epoch': '0.2965'} + 92%|█████████████████████████████▎ | 8241/9000 [7:11:52<32:54, 2.60s/it][Dataset] cur_step=8242 phase=D_mixed_covt +[Dataset] cur_step=8242 phase=D_mixed_covt +[Dataset] cur_step=8242 phase=D_mixed_covt +[Dataset] cur_step=8242 phase=D_mixed_covt +[Dataset] cur_step=8242 phase=D_mixed_covt +[Dataset] cur_step=8242 phase=D_mixed_covt +[Dataset] cur_step=8242 phase=D_mixed_covt +[Dataset] cur_step=8242 phase=D_mixed_covt + 92%|█████████████████████████████▎ | 8242/9000 [7:11:53<32:20, 2.56s/it] {'loss': '2.955', 'grad_norm': '3.133', 'learning_rate': '9.634e-07', 'epoch': '0.2965'} + 92%|█████████████████████████████▎ | 8242/9000 [7:11:53<32:20, 2.56s/it] {'lm_loss': '1.727', 'visual_loss': '2.102', 'seg_loss': '0.6169', 'dino_loss': '0.9127', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.1814', 'siglip_loss': '0.3908', 'epoch': '0.2965'} + 92%|█████████████████████████████▎ | 8242/9000 [7:11:54<32:20, 2.56s/it][Dataset] cur_step=8243 phase=D_mixed_covt +[Dataset] cur_step=8243 phase=D_mixed_covt +[Dataset] cur_step=8243 phase=D_mixed_covt +[Dataset] cur_step=8243 phase=D_mixed_covt +[Dataset] cur_step=8243 phase=D_mixed_covt +[Dataset] cur_step=8243 phase=D_mixed_covt[Dataset] cur_step=8243 phase=D_mixed_covt + +[Dataset] cur_step=8243 phase=D_mixed_covt 92%|█████████████████████████████▎ | 8243/9000 [7:11:55<31:33, 2.50s/it] + {'loss': '3.19', 'grad_norm': '2.449', 'learning_rate': '9.609e-07', 'epoch': '0.2965'} + 92%|█████████████████████████████▎ | 8243/9000 [7:11:55<31:33, 2.50s/it] {'lm_loss': '0.343', 'visual_loss': '2.625', 'seg_loss': '0.798', 'dino_loss': '0.9002', 'depth_loss': '0.1375', 'vggt_mse_loss': '0.1369', 'vggt_cos_loss': '0.006503', 'pidinet_loss': '0.1525', 'siglip_loss': '0.637', 'epoch': '0.2965'} + 92%|█████████████████████████████▎ | 8243/9000 [7:11:56<31:33, 2.50s/it][Dataset] cur_step=8244 phase=D_mixed_covt[Dataset] cur_step=8244 phase=D_mixed_covt + +[Dataset] cur_step=8244 phase=D_mixed_covt +[Dataset] cur_step=8244 phase=D_mixed_covt +[Dataset] cur_step=8244 phase=D_mixed_covt + 92%|█████████████████████████████▎ | 8244/9000 [7:11:57<29:29, 2.34s/it][Dataset] cur_step=8244 phase=D_mixed_covt[Dataset] cur_step=8244 phase=D_mixed_covt + +[Dataset] cur_step=8244 phase=D_mixed_covt + {'loss': '3.172', 'grad_norm': '6.07', 'learning_rate': '9.584e-07', 'epoch': '0.2966'} + 92%|█████████████████████████████▎ | 8244/9000 [7:11:57<29:29, 2.34s/it] {'lm_loss': '0.09602', 'visual_loss': '2.423', 'seg_loss': '0.6366', 'dino_loss': '0.915', 'depth_loss': '0.2712', 'vggt_mse_loss': '0.269', 'vggt_cos_loss': '0.02187', 'pidinet_loss': '0.234', 'siglip_loss': '0.3664', 'epoch': '0.2966'} + 92%|█████████████████████████████▎ | 8244/9000 [7:11:58<29:29, 2.34s/it][Dataset] cur_step=8245 phase=D_mixed_covt +[Dataset] cur_step=8245 phase=D_mixed_covt +[Dataset] cur_step=8245 phase=D_mixed_covt[Dataset] cur_step=8245 phase=D_mixed_covt + +[Dataset] cur_step=8245 phase=D_mixed_covt +[Dataset] cur_step=8245 phase=D_mixed_covt +[Dataset] cur_step=8245 phase=D_mixed_covt +[Dataset] cur_step=8245 phase=D_mixed_covt + 92%|█████████████████████████████▎ | 8245/9000 [7:11:59<27:40, 2.20s/it] {'loss': '3.122', 'grad_norm': '3.657', 'learning_rate': '9.558e-07', 'epoch': '0.2966'} + 92%|█████████████████████████████▎ | 8245/9000 [7:11:59<27:40, 2.20s/it] {'lm_loss': '0.2298', 'visual_loss': '3.226', 'seg_loss': '1.131', 'dino_loss': '0.8576', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.4134', 'siglip_loss': '0.8235', 'epoch': '0.2966'} + 92%|█████████████████████████████▎ | 8245/9000 [7:12:01<27:40, 2.20s/it][Dataset] cur_step=8246 phase=D_mixed_covt +[Dataset] cur_step=8246 phase=D_mixed_covt[Dataset] cur_step=8246 phase=D_mixed_covt + +[Dataset] cur_step=8246 phase=D_mixed_covt +[Dataset] cur_step=8246 phase=D_mixed_covt 92%|█████████████████████████████▎ | 8246/9000 [7:12:01<28:16, 2.25s/it] +[Dataset] cur_step=8246 phase=D_mixed_covt +[Dataset] cur_step=8246 phase=D_mixed_covt +[Dataset] cur_step=8246 phase=D_mixed_covt + {'loss': '3.082', 'grad_norm': '17.18', 'learning_rate': '9.533e-07', 'epoch': '0.2967'} + 92%|█████████████████████████████▎ | 8246/9000 [7:12:01<28:16, 2.25s/it] {'lm_loss': '0.6966', 'visual_loss': '1.906', 'seg_loss': '0.613', 'dino_loss': '0.8778', 'depth_loss': '0.141', 'vggt_mse_loss': '0.14', 'vggt_cos_loss': '0.009677', 'pidinet_loss': '0.2739', 'siglip_loss': '0', 'epoch': '0.2967'} + 92%|█████████████████████████████▎ | 8246/9000 [7:12:02<28:16, 2.25s/it][Dataset] cur_step=8247 phase=D_mixed_covt +[Dataset] cur_step=8247 phase=D_mixed_covt +[Dataset] cur_step=8247 phase=D_mixed_covt +[Dataset] cur_step=8247 phase=D_mixed_covt +[Dataset] cur_step=8247 phase=D_mixed_covt[Dataset] cur_step=8247 phase=D_mixed_covt + +[Dataset] cur_step=8247 phase=D_mixed_covt 92%|█████████████████████████████▎ | 8247/9000 [7:12:04<30:07, 2.40s/it][Dataset] cur_step=8247 phase=D_mixed_covt + + {'loss': '2.786', 'grad_norm': '12.7', 'learning_rate': '9.508e-07', 'epoch': '0.2967'} + 92%|█████████████████████████████▎ | 8247/9000 [7:12:04<30:07, 2.40s/it] {'lm_loss': '0.9372', 'visual_loss': '0.9444', 'seg_loss': '0', 'dino_loss': '0.9444', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0', 'siglip_loss': '0', 'epoch': '0.2967'} + 92%|█████████████████████████████▎ | 8247/9000 [7:12:04<30:07, 2.40s/it][Dataset] cur_step=8248 phase=D_mixed_covt[Dataset] cur_step=8248 phase=D_mixed_covt + +[Dataset] cur_step=8248 phase=D_mixed_covt +[Dataset] cur_step=8248 phase=D_mixed_covt +[Dataset] cur_step=8248 phase=D_mixed_covt 92%|█████████████████████████████▎ | 8248/9000 [7:12:05<24:14, 1.93s/it] +[Dataset] cur_step=8248 phase=D_mixed_covt +[Dataset] cur_step=8248 phase=D_mixed_covt +[Dataset] cur_step=8248 phase=D_mixed_covt + {'loss': '1.821', 'grad_norm': '3.973', 'learning_rate': '9.483e-07', 'epoch': '0.2967'} + 92%|█████████████████████████████▎ | 8248/9000 [7:12:05<24:14, 1.93s/it] {'lm_loss': '0.4214', 'visual_loss': '2.66', 'seg_loss': '0.6764', 'dino_loss': '0.9042', 'depth_loss': '0.2123', 'vggt_mse_loss': '0.2107', 'vggt_cos_loss': '0.01612', 'pidinet_loss': '0.2048', 'siglip_loss': '0.6619', 'epoch': '0.2967'} + 92%|█████████████████████████████▎ | 8248/9000 [7:12:07<24:14, 1.93s/it][Dataset] cur_step=8249 phase=D_mixed_covt[Dataset] cur_step=8249 phase=D_mixed_covt + +[Dataset] cur_step=8249 phase=D_mixed_covt + 92%|█████████████████████████████▎ | 8249/9000 [7:12:08<27:51, 2.23s/it][Dataset] cur_step=8249 phase=D_mixed_covt[Dataset] cur_step=8249 phase=D_mixed_covt +[Dataset] cur_step=8249 phase=D_mixed_covt + +[Dataset] cur_step=8249 phase=D_mixed_covt +[Dataset] cur_step=8249 phase=D_mixed_covt + {'loss': '3.064', 'grad_norm': '3.115', 'learning_rate': '9.458e-07', 'epoch': '0.2968'} + 92%|█████████████████████████████▎ | 8249/9000 [7:12:08<27:51, 2.23s/it] {'lm_loss': '0.7242', 'visual_loss': '2.642', 'seg_loss': '0.695', 'dino_loss': '0.9687', 'depth_loss': '0.1262', 'vggt_mse_loss': '0.1254', 'vggt_cos_loss': '0.007926', 'pidinet_loss': '0.255', 'siglip_loss': '0.5975', 'epoch': '0.2968'} + 92%|█████████████████████████████▎ | 8249/9000 [7:12:09<27:51, 2.23s/it][Dataset] cur_step=8250 phase=D_mixed_covt[Dataset] cur_step=8250 phase=D_mixed_covt + +[Dataset] cur_step=8250 phase=D_mixed_covt[Dataset] cur_step=8250 phase=D_mixed_covt + +[Dataset] cur_step=8250 phase=D_mixed_covt +[Dataset] cur_step=8250 phase=D_mixed_covt + 92%|█████████████████████████████▎ | 8250/9000 [7:12:09<26:09, 2.09s/it][Dataset] cur_step=8250 phase=D_mixed_covt +[Dataset] cur_step=8250 phase=D_mixed_covt + {'loss': '3.379', 'grad_norm': '4.32', 'learning_rate': '9.433e-07', 'epoch': '0.2968'} + 92%|█████████████████████████████▎ | 8250/9000 [7:12:09<26:09, 2.09s/it] {'lm_loss': '0.5039', 'visual_loss': '2.377', 'seg_loss': '0.726', 'dino_loss': '0.8371', 'depth_loss': '0.19', 'vggt_mse_loss': '0.1891', 'vggt_cos_loss': '0.008929', 'pidinet_loss': '0.1961', 'siglip_loss': '0.428', 'epoch': '0.2968'} + 92%|█████████████████████████████▎ | 8250/9000 [7:12:12<26:09, 2.09s/it][Dataset] cur_step=8251 phase=D_mixed_covt[Dataset] cur_step=8251 phase=D_mixed_covt + +[Dataset] cur_step=8251 phase=D_mixed_covt[Dataset] cur_step=8251 phase=D_mixed_covt + +[Dataset] cur_step=8251 phase=D_mixed_covt +[Dataset] cur_step=8251 phase=D_mixed_covt +[Dataset] cur_step=8251 phase=D_mixed_covt[Dataset] cur_step=8251 phase=D_mixed_covt + + 92%|█████████████████████████████▎ | 8251/9000 [7:12:12<29:07, 2.33s/it] {'loss': '3.392', 'grad_norm': '4.365', 'learning_rate': '9.408e-07', 'epoch': '0.2968'} + 92%|█████████████████████████████▎ | 8251/9000 [7:12:12<29:07, 2.33s/it] {'lm_loss': '0.613', 'visual_loss': '2.338', 'seg_loss': '0.616', 'dino_loss': '0.9286', 'depth_loss': '0.1696', 'vggt_mse_loss': '0.1686', 'vggt_cos_loss': '0.009814', 'pidinet_loss': '0.2182', 'siglip_loss': '0.4054', 'epoch': '0.2968'} + 92%|█████████████████████████████▎ | 8251/9000 [7:12:15<29:07, 2.33s/it][Dataset] cur_step=8252 phase=D_mixed_covt +[Dataset] cur_step=8252 phase=D_mixed_covt +[Dataset] cur_step=8252 phase=D_mixed_covt +[Dataset] cur_step=8252 phase=D_mixed_covt 92%|█████████████████████████████▎ | 8252/9000 [7:12:16<32:36, 2.62s/it] +[Dataset] cur_step=8252 phase=D_mixed_covt[Dataset] cur_step=8252 phase=D_mixed_covt + +[Dataset] cur_step=8252 phase=D_mixed_covt +[Dataset] cur_step=8252 phase=D_mixed_covt + {'loss': '3.316', 'grad_norm': '3.761', 'learning_rate': '9.383e-07', 'epoch': '0.2969'} + 92%|█████████████████████████████▎ | 8252/9000 [7:12:16<32:36, 2.62s/it] {'lm_loss': '0.0838', 'visual_loss': '2.513', 'seg_loss': '0.5519', 'dino_loss': '0.9026', 'depth_loss': '0.2501', 'vggt_mse_loss': '0.2487', 'vggt_cos_loss': '0.01378', 'pidinet_loss': '0.2128', 'siglip_loss': '0.5954', 'epoch': '0.2969'} + 92%|█████████████████████████████▎ | 8252/9000 [7:12:18<32:36, 2.62s/it][Dataset] cur_step=8253 phase=D_mixed_covt +[Dataset] cur_step=8253 phase=D_mixed_covt +[Dataset] cur_step=8253 phase=D_mixed_covt[Dataset] cur_step=8253 phase=D_mixed_covt + +[Dataset] cur_step=8253 phase=D_mixed_covt +[Dataset] cur_step=8253 phase=D_mixed_covt +[Dataset] cur_step=8253 phase=D_mixed_covt +[Dataset] cur_step=8253 phase=D_mixed_covt 92%|█████████████████████████████▎ | 8253/9000 [7:12:19<34:17, 2.75s/it] + {'loss': '3.008', 'grad_norm': '2.489', 'learning_rate': '9.358e-07', 'epoch': '0.2969'} + 92%|█████████████████████████████▎ | 8253/9000 [7:12:19<34:17, 2.75s/it] {'lm_loss': '0.6254', 'visual_loss': '2.405', 'seg_loss': '0.7388', 'dino_loss': '0.9168', 'depth_loss': '0.1277', 'vggt_mse_loss': '0.1267', 'vggt_cos_loss': '0.01004', 'pidinet_loss': '0.2415', 'siglip_loss': '0.3801', 'epoch': '0.2969'} + 92%|█████████████████████████████▎ | 8253/9000 [7:12:21<34:17, 2.75s/it][Dataset] cur_step=8254 phase=D_mixed_covt +[Dataset] cur_step=8254 phase=D_mixed_covt +[Dataset] cur_step=8254 phase=D_mixed_covt +[Dataset] cur_step=8254 phase=D_mixed_covt[Dataset] cur_step=8254 phase=D_mixed_covt + +[Dataset] cur_step=8254 phase=D_mixed_covt +[Dataset] cur_step=8254 phase=D_mixed_covt +[Dataset] cur_step=8254 phase=D_mixed_covt + 92%|█████████████████████████████▎ | 8254/9000 [7:12:22<35:37, 2.86s/it] {'loss': '3.32', 'grad_norm': '3.013', 'learning_rate': '9.333e-07', 'epoch': '0.2969'} + 92%|█████████████████████████████▎ | 8254/9000 [7:12:22<35:37, 2.86s/it] {'lm_loss': '0.7389', 'visual_loss': '2.482', 'seg_loss': '0.5901', 'dino_loss': '0.8371', 'depth_loss': '0.2897', 'vggt_mse_loss': '0.2882', 'vggt_cos_loss': '0.01513', 'pidinet_loss': '0.1014', 'siglip_loss': '0.6634', 'epoch': '0.2969'} + 92%|█████████████████████████████▎ | 8254/9000 [7:12:23<35:37, 2.86s/it][Dataset] cur_step=8255 phase=D_mixed_covt +[Dataset] cur_step=8255 phase=D_mixed_covt[Dataset] cur_step=8255 phase=D_mixed_covt + +[Dataset] cur_step=8255 phase=D_mixed_covt[Dataset] cur_step=8255 phase=D_mixed_covt + +[Dataset] cur_step=8255 phase=D_mixed_covt[Dataset] cur_step=8255 phase=D_mixed_covt + + 92%|█████████████████████████████▎ | 8255/9000 [7:12:24<31:56, 2.57s/it][Dataset] cur_step=8255 phase=D_mixed_covt + {'loss': '3.457', 'grad_norm': '4.26', 'learning_rate': '9.308e-07', 'epoch': '0.297'} + 92%|█████████████████████████████▎ | 8255/9000 [7:12:24<31:56, 2.57s/it] {'lm_loss': '0.3533', 'visual_loss': '2.733', 'seg_loss': '0.9074', 'dino_loss': '0.9258', 'depth_loss': '0.199', 'vggt_mse_loss': '0.1976', 'vggt_cos_loss': '0.01403', 'pidinet_loss': '0.2172', 'siglip_loss': '0.4837', 'epoch': '0.297'} + 92%|█████████████████████████████▎ | 8255/9000 [7:12:25<31:56, 2.57s/it][Dataset] cur_step=8256 phase=D_mixed_covt +[Dataset] cur_step=8256 phase=D_mixed_covt[Dataset] cur_step=8256 phase=D_mixed_covt + +[Dataset] cur_step=8256 phase=D_mixed_covt +[Dataset] cur_step=8256 phase=D_mixed_covt +[Dataset] cur_step=8256 phase=D_mixed_covt +[Dataset] cur_step=8256 phase=D_mixed_covt[Dataset] cur_step=8256 phase=D_mixed_covt + + 92%|█████████████████████████████▎ | 8256/9000 [7:12:26<29:56, 2.41s/it] {'loss': '3.146', 'grad_norm': '4.102', 'learning_rate': '9.284e-07', 'epoch': '0.297'} + 92%|█████████████████████████████▎ | 8256/9000 [7:12:26<29:56, 2.41s/it] {'lm_loss': '1.033', 'visual_loss': '2.175', 'seg_loss': '0.5566', 'dino_loss': '0.9189', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.1746', 'siglip_loss': '0.5249', 'epoch': '0.297'} + 92%|█████████████████████████████▎ | 8256/9000 [7:12:27<29:56, 2.41s/it][Dataset] cur_step=8257 phase=D_mixed_covt +[Dataset] cur_step=8257 phase=D_mixed_covt[Dataset] cur_step=8257 phase=D_mixed_covt[Dataset] cur_step=8257 phase=D_mixed_covt + + +[Dataset] cur_step=8257 phase=D_mixed_covt +[Dataset] cur_step=8257 phase=D_mixed_covt[Dataset] cur_step=8257 phase=D_mixed_covt + +[Dataset] cur_step=8257 phase=D_mixed_covt + 92%|█████████████████████████████▎ | 8257/9000 [7:12:27<27:24, 2.21s/it] {'loss': '2.919', 'grad_norm': '2.73', 'learning_rate': '9.259e-07', 'epoch': '0.297'} + 92%|█████████████████████████████▎ | 8257/9000 [7:12:27<27:24, 2.21s/it] {'lm_loss': '0.7474', 'visual_loss': '2.806', 'seg_loss': '0.7551', 'dino_loss': '0.9054', 'depth_loss': '0.251', 'vggt_mse_loss': '0.2496', 'vggt_cos_loss': '0.01398', 'pidinet_loss': '0.2119', 'siglip_loss': '0.6826', 'epoch': '0.297'} + 92%|█████████████████████████████▎ | 8257/9000 [7:12:29<27:24, 2.21s/it][Dataset] cur_step=8258 phase=D_mixed_covt +[Dataset] cur_step=8258 phase=D_mixed_covt +[Dataset] cur_step=8258 phase=D_mixed_covt[Dataset] cur_step=8258 phase=D_mixed_covt + +[Dataset] cur_step=8258 phase=D_mixed_covt +[Dataset] cur_step=8258 phase=D_mixed_covt + 92%|█████████████████████████████▎ | 8258/9000 [7:12:33<37:56, 3.07s/it][Dataset] cur_step=8258 phase=D_mixed_covt +[Dataset] cur_step=8258 phase=D_mixed_covt + {'loss': '3.242', 'grad_norm': '3.959', 'learning_rate': '9.234e-07', 'epoch': '0.2971'} + 92%|█████████████████████████████▎ | 8258/9000 [7:12:33<37:56, 3.07s/it] {'lm_loss': '0.8307', 'visual_loss': '3.108', 'seg_loss': '0.8192', 'dino_loss': '0.9442', 'depth_loss': '0.3056', 'vggt_mse_loss': '0.3029', 'vggt_cos_loss': '0.02657', 'pidinet_loss': '0.2655', 'siglip_loss': '0.774', 'epoch': '0.2971'} + 92%|█████████████████████████████▎ | 8258/9000 [7:12:34<37:56, 3.07s/it][Dataset] cur_step=8259 phase=D_mixed_covt +[Dataset] cur_step=8259 phase=D_mixed_covt +[Dataset] cur_step=8259 phase=D_mixed_covt[Dataset] cur_step=8259 phase=D_mixed_covt + +[Dataset] cur_step=8259 phase=D_mixed_covt +[Dataset] cur_step=8259 phase=D_mixed_covt +[Dataset] cur_step=8259 phase=D_mixed_covt + 92%|█████████████████████████████▎ | 8259/9000 [7:12:35<36:22, 2.95s/it][Dataset] cur_step=8259 phase=D_mixed_covt + {'loss': '3.287', 'grad_norm': '2.92', 'learning_rate': '9.209e-07', 'epoch': '0.2971'} + 92%|█████████████████████████████▎ | 8259/9000 [7:12:35<36:22, 2.95s/it] {'lm_loss': '0.6125', 'visual_loss': '2.797', 'seg_loss': '0.8319', 'dino_loss': '0.9417', 'depth_loss': '0.3537', 'vggt_mse_loss': '0.3514', 'vggt_cos_loss': '0.02349', 'pidinet_loss': '0.2838', 'siglip_loss': '0.3855', 'epoch': '0.2971'} + 92%|█████████████████████████████▎ | 8259/9000 [7:12:37<36:22, 2.95s/it][Dataset] cur_step=8260 phase=D_mixed_covt +[Dataset] cur_step=8260 phase=D_mixed_covt +[Dataset] cur_step=8260 phase=D_mixed_covt +[Dataset] cur_step=8260 phase=D_mixed_covt +[Dataset] cur_step=8260 phase=D_mixed_covt 92%|█████████████████████████████▎ | 8260/9000 [7:12:38<35:05, 2.84s/it] +[Dataset] cur_step=8260 phase=D_mixed_covt +[Dataset] cur_step=8260 phase=D_mixed_covt +[Dataset] cur_step=8260 phase=D_mixed_covt + {'loss': '3.337', 'grad_norm': '2.213', 'learning_rate': '9.185e-07', 'epoch': '0.2972'} + 92%|█████████████████████████████▎ | 8260/9000 [7:12:38<35:05, 2.84s/it] {'lm_loss': '0.1083', 'visual_loss': '2.126', 'seg_loss': '0', 'dino_loss': '0.8841', 'depth_loss': '0.1271', 'vggt_mse_loss': '0.1264', 'vggt_cos_loss': '0.007161', 'pidinet_loss': '0.3148', 'siglip_loss': '0.8005', 'epoch': '0.2972'} + 92%|█████████████████████████████▎ | 8260/9000 [7:12:39<35:05, 2.84s/it][Dataset] cur_step=8261 phase=D_mixed_covt +[Dataset] cur_step=8261 phase=D_mixed_covt[Dataset] cur_step=8261 phase=D_mixed_covt + +[Dataset] cur_step=8261 phase=D_mixed_covt +[Dataset] cur_step=8261 phase=D_mixed_covt +[Dataset] cur_step=8261 phase=D_mixed_covt[Dataset] cur_step=8261 phase=D_mixed_covt + + 92%|█████████████████████████████▎ | 8261/9000 [7:12:39<29:13, 2.37s/it][Dataset] cur_step=8261 phase=D_mixed_covt + {'loss': '2.665', 'grad_norm': '2.74', 'learning_rate': '9.16e-07', 'epoch': '0.2972'} + 92%|█████████████████████████████▎ | 8261/9000 [7:12:39<29:13, 2.37s/it] {'lm_loss': '0.1284', 'visual_loss': '2.101', 'seg_loss': '0.5255', 'dino_loss': '0.906', 'depth_loss': '0.1862', 'vggt_mse_loss': '0.185', 'vggt_cos_loss': '0.01245', 'pidinet_loss': '0.1756', 'siglip_loss': '0.3077', 'epoch': '0.2972'} + 92%|█████████████████████████████▎ | 8261/9000 [7:12:41<29:13, 2.37s/it][Dataset] cur_step=8262 phase=D_mixed_covt +[Dataset] cur_step=8262 phase=D_mixed_covt +[Dataset] cur_step=8262 phase=D_mixed_covt +[Dataset] cur_step=8262 phase=D_mixed_covt[Dataset] cur_step=8262 phase=D_mixed_covt[Dataset] cur_step=8262 phase=D_mixed_covt + + + 92%|█████████████████████████████▍ | 8262/9000 [7:12:42<30:37, 2.49s/it][Dataset] cur_step=8262 phase=D_mixed_covt +[Dataset] cur_step=8262 phase=D_mixed_covt + {'loss': '3.156', 'grad_norm': '4.275', 'learning_rate': '9.135e-07', 'epoch': '0.2972'} + 92%|█████████████████████████████▍ | 8262/9000 [7:12:42<30:37, 2.49s/it] {'lm_loss': '0.8267', 'visual_loss': '2.575', 'seg_loss': '0.6969', 'dino_loss': '0.8953', 'depth_loss': '0.1572', 'vggt_mse_loss': '0.1561', 'vggt_cos_loss': '0.01088', 'pidinet_loss': '0.2533', 'siglip_loss': '0.5722', 'epoch': '0.2972'} + 92%|█████████████████████████████▍ | 8262/9000 [7:12:44<30:37, 2.49s/it][Dataset] cur_step=8263 phase=D_mixed_covt +[Dataset] cur_step=8263 phase=D_mixed_covt +[Dataset] cur_step=8263 phase=D_mixed_covt +[Dataset] cur_step=8263 phase=D_mixed_covt[Dataset] cur_step=8263 phase=D_mixed_covt +[Dataset] cur_step=8263 phase=D_mixed_covt +[Dataset] cur_step=8263 phase=D_mixed_covt + +[Dataset] cur_step=8263 phase=D_mixed_covt + 92%|█████████████████████████████▍ | 8263/9000 [7:12:44<30:19, 2.47s/it] {'loss': '3.389', 'grad_norm': '5.037', 'learning_rate': '9.111e-07', 'epoch': '0.2973'} + 92%|█████████████████████████████▍ | 8263/9000 [7:12:44<30:19, 2.47s/it] {'lm_loss': '0.05908', 'visual_loss': '2.893', 'seg_loss': '0.7727', 'dino_loss': '0.9267', 'depth_loss': '0.2514', 'vggt_mse_loss': '0.2494', 'vggt_cos_loss': '0.02009', 'pidinet_loss': '0.279', 'siglip_loss': '0.6632', 'epoch': '0.2973'} + 92%|█████████████████████████████▍ | 8263/9000 [7:12:47<30:19, 2.47s/it][Dataset] cur_step=8264 phase=D_mixed_covt +[Dataset] cur_step=8264 phase=D_mixed_covt +[Dataset] cur_step=8264 phase=D_mixed_covt +[Dataset] cur_step=8264 phase=D_mixed_covt +[Dataset] cur_step=8264 phase=D_mixed_covt[Dataset] cur_step=8264 phase=D_mixed_covt + +[Dataset] cur_step=8264 phase=D_mixed_covt + 92%|█████████████████████████████▍ | 8264/9000 [7:12:48<34:13, 2.79s/it][Dataset] cur_step=8264 phase=D_mixed_covt + {'loss': '3.282', 'grad_norm': '2.039', 'learning_rate': '9.086e-07', 'epoch': '0.2973'} + 92%|█████████████████████████████▍ | 8264/9000 [7:12:48<34:13, 2.79s/it] {'lm_loss': '1.268', 'visual_loss': '2.303', 'seg_loss': '0.5563', 'dino_loss': '0', 'depth_loss': '0.7142', 'vggt_mse_loss': '0.7079', 'vggt_cos_loss': '0.06316', 'pidinet_loss': '0.2645', 'siglip_loss': '0.7682', 'epoch': '0.2973'} + 92%|█████████████████████████████▍ | 8264/9000 [7:12:49<34:13, 2.79s/it][Dataset] cur_step=8265 phase=D_mixed_covt +[Dataset] cur_step=8265 phase=D_mixed_covt +[Dataset] cur_step=8265 phase=D_mixed_covt +[Dataset] cur_step=8265 phase=D_mixed_covt +[Dataset] cur_step=8265 phase=D_mixed_covt 92%|█████████████████████████████▍ | 8265/9000 [7:12:50<31:11, 2.55s/it] +[Dataset] cur_step=8265 phase=D_mixed_covt +[Dataset] cur_step=8265 phase=D_mixed_covt +[Dataset] cur_step=8265 phase=D_mixed_covt + {'loss': '2.568', 'grad_norm': '3.235', 'learning_rate': '9.062e-07', 'epoch': '0.2973'} + 92%|█████████████████████████████▍ | 8265/9000 [7:12:50<31:11, 2.55s/it] {'lm_loss': '0.4301', 'visual_loss': '0.9737', 'seg_loss': '0', 'dino_loss': '0', 'depth_loss': '0.2074', 'vggt_mse_loss': '0.2061', 'vggt_cos_loss': '0.01307', 'pidinet_loss': '0.2465', 'siglip_loss': '0.5198', 'epoch': '0.2973'} + 92%|█████████████████████████████▍ | 8265/9000 [7:12:51<31:11, 2.55s/it][Dataset] cur_step=8266 phase=D_mixed_covt +[Dataset] cur_step=8266 phase=D_mixed_covt +[Dataset] cur_step=8266 phase=D_mixed_covt[Dataset] cur_step=8266 phase=D_mixed_covt +[Dataset] cur_step=8266 phase=D_mixed_covt + +[Dataset] cur_step=8266 phase=D_mixed_covt +[Dataset] cur_step=8266 phase=D_mixed_covt 92%|█████████████████████████████▍ | 8266/9000 [7:12:51<26:04, 2.13s/it] +[Dataset] cur_step=8266 phase=D_mixed_covt + {'loss': '1.827', 'grad_norm': '13.25', 'learning_rate': '9.037e-07', 'epoch': '0.2974'} + 92%|█████████████████████████████▍ | 8266/9000 [7:12:51<26:04, 2.13s/it] {'lm_loss': '0.8503', 'visual_loss': '2.608', 'seg_loss': '0.7505', 'dino_loss': '0.928', 'depth_loss': '0.2502', 'vggt_mse_loss': '0.2483', 'vggt_cos_loss': '0.01876', 'pidinet_loss': '0.2186', 'siglip_loss': '0.4607', 'epoch': '0.2974'} + 92%|█████████████████████████████▍ | 8266/9000 [7:12:52<26:04, 2.13s/it][Dataset] cur_step=8267 phase=D_mixed_covt[Dataset] cur_step=8267 phase=D_mixed_covt[Dataset] cur_step=8267 phase=D_mixed_covt + + +[Dataset] cur_step=8267 phase=D_mixed_covt[Dataset] cur_step=8267 phase=D_mixed_covt +[Dataset] cur_step=8267 phase=D_mixed_covt + +[Dataset] cur_step=8267 phase=D_mixed_covt +[Dataset] cur_step=8267 phase=D_mixed_covt + 92%|█████████████████████████████▍ | 8267/9000 [7:12:53<25:15, 2.07s/it] {'loss': '3.5', 'grad_norm': '2.479', 'learning_rate': '9.013e-07', 'epoch': '0.2974'} + 92%|█████████████████████████████▍ | 8267/9000 [7:12:53<25:15, 2.07s/it] {'lm_loss': '0.9158', 'visual_loss': '2.736', 'seg_loss': '0.785', 'dino_loss': '0.9287', 'depth_loss': '0.1745', 'vggt_mse_loss': '0.1734', 'vggt_cos_loss': '0.0113', 'pidinet_loss': '0.2271', 'siglip_loss': '0.621', 'epoch': '0.2974'} + 92%|█████████████████████████████▍ | 8267/9000 [7:12:55<25:15, 2.07s/it][Dataset] cur_step=8268 phase=D_mixed_covt +[Dataset] cur_step=8268 phase=D_mixed_covt +[Dataset] cur_step=8268 phase=D_mixed_covt +[Dataset] cur_step=8268 phase=D_mixed_covt +[Dataset] cur_step=8268 phase=D_mixed_covt +[Dataset] cur_step=8268 phase=D_mixed_covt + 92%|█████████████████████████████▍ | 8268/9000 [7:12:58<38:12, 3.13s/it][Dataset] cur_step=8268 phase=D_mixed_covt +[Dataset] cur_step=8268 phase=D_mixed_covt + {'loss': '3.103', 'grad_norm': '2.634', 'learning_rate': '8.988e-07', 'epoch': '0.2974'} + 92%|█████████████████████████████▍ | 8268/9000 [7:12:58<38:12, 3.13s/it] {'lm_loss': '1.111', 'visual_loss': '2.779', 'seg_loss': '0.723', 'dino_loss': '0.8853', 'depth_loss': '0.1635', 'vggt_mse_loss': '0.1624', 'vggt_cos_loss': '0.01087', 'pidinet_loss': '0.2251', 'siglip_loss': '0.7821', 'epoch': '0.2974'} + 92%|█████████████████████████████▍ | 8268/9000 [7:13:00<38:12, 3.13s/it][Dataset] cur_step=8269 phase=D_mixed_covt +[Dataset] cur_step=8269 phase=D_mixed_covt[Dataset] cur_step=8269 phase=D_mixed_covt + +[Dataset] cur_step=8269 phase=D_mixed_covt + 92%|█████████████████████████████▍ | 8269/9000 [7:13:01<35:46, 2.94s/it][Dataset] cur_step=8269 phase=D_mixed_covt +[Dataset] cur_step=8269 phase=D_mixed_covt +[Dataset] cur_step=8269 phase=D_mixed_covt +[Dataset] cur_step=8269 phase=D_mixed_covt + {'loss': '3.204', 'grad_norm': '3.584', 'learning_rate': '8.964e-07', 'epoch': '0.2975'} + 92%|█████████████████████████████▍ | 8269/9000 [7:13:01<35:46, 2.94s/it] {'lm_loss': '0.7558', 'visual_loss': '2.866', 'seg_loss': '0.7963', 'dino_loss': '0.919', 'depth_loss': '0.2066', 'vggt_mse_loss': '0.205', 'vggt_cos_loss': '0.01609', 'pidinet_loss': '0.2639', 'siglip_loss': '0.6804', 'epoch': '0.2975'} + 92%|█████████████████████████████▍ | 8269/9000 [7:13:03<35:46, 2.94s/it][Dataset] cur_step=8270 phase=D_mixed_covt +[Dataset] cur_step=8270 phase=D_mixed_covt +[Dataset] cur_step=8270 phase=D_mixed_covt +[Dataset] cur_step=8270 phase=D_mixed_covt +[Dataset] cur_step=8270 phase=D_mixed_covt[Dataset] cur_step=8270 phase=D_mixed_covt + + 92%|█████████████████████████████▍ | 8270/9000 [7:13:04<34:48, 2.86s/it][Dataset] cur_step=8270 phase=D_mixed_covt[Dataset] cur_step=8270 phase=D_mixed_covt + + {'loss': '3.231', 'grad_norm': '2.475', 'learning_rate': '8.94e-07', 'epoch': '0.2975'} + 92%|█████████████████████████████▍ | 8270/9000 [7:13:04<34:48, 2.86s/it] {'lm_loss': '0.8494', 'visual_loss': '1.687', 'seg_loss': '0', 'dino_loss': '0.925', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.3204', 'siglip_loss': '0.4419', 'epoch': '0.2975'} + 92%|█████████████████████████████▍ | 8270/9000 [7:13:04<34:48, 2.86s/it][Dataset] cur_step=8271 phase=D_mixed_covt +[Dataset] cur_step=8271 phase=D_mixed_covt +[Dataset] cur_step=8271 phase=D_mixed_covt 92%|█████████████████████████████▍ | 8271/9000 [7:13:05<27:40, 2.28s/it] +[Dataset] cur_step=8271 phase=D_mixed_covt[Dataset] cur_step=8271 phase=D_mixed_covt + +[Dataset] cur_step=8271 phase=D_mixed_covt +[Dataset] cur_step=8271 phase=D_mixed_covt +[Dataset] cur_step=8271 phase=D_mixed_covt + {'loss': '2.584', 'grad_norm': '4.432', 'learning_rate': '8.915e-07', 'epoch': '0.2976'} + 92%|█████████████████████████████▍ | 8271/9000 [7:13:05<27:40, 2.28s/it] {'lm_loss': '0.7767', 'visual_loss': '2.562', 'seg_loss': '0.5937', 'dino_loss': '0.9232', 'depth_loss': '0.2701', 'vggt_mse_loss': '0.2679', 'vggt_cos_loss': '0.02164', 'pidinet_loss': '0.1991', 'siglip_loss': '0.5755', 'epoch': '0.2976'} + 92%|█████████████████████████████▍ | 8271/9000 [7:13:06<27:40, 2.28s/it][Dataset] cur_step=8272 phase=D_mixed_covt + 92%|█████████████████████████████▍ | 8272/9000 [7:13:06<26:17, 2.17s/it][Dataset] cur_step=8272 phase=D_mixed_covt +[Dataset] cur_step=8272 phase=D_mixed_covt +[Dataset] cur_step=8272 phase=D_mixed_covt[Dataset] cur_step=8272 phase=D_mixed_covt + +[Dataset] cur_step=8272 phase=D_mixed_covt[Dataset] cur_step=8272 phase=D_mixed_covt + +[Dataset] cur_step=8272 phase=D_mixed_covt + {'loss': '3.076', 'grad_norm': '5.252', 'learning_rate': '8.891e-07', 'epoch': '0.2976'} + 92%|█████████████████████████████▍ | 8272/9000 [7:13:06<26:17, 2.17s/it] {'lm_loss': '0.08313', 'visual_loss': '2.668', 'seg_loss': '0.6353', 'dino_loss': '0.8978', 'depth_loss': '0.1849', 'vggt_mse_loss': '0.1835', 'vggt_cos_loss': '0.01411', 'pidinet_loss': '0.1699', 'siglip_loss': '0.7806', 'epoch': '0.2976'} + 92%|█████████████████████████████▍ | 8272/9000 [7:13:08<26:17, 2.17s/it][Dataset] cur_step=8273 phase=D_mixed_covt +[Dataset] cur_step=8273 phase=D_mixed_covt +[Dataset] cur_step=8273 phase=D_mixed_covt[Dataset] cur_step=8273 phase=D_mixed_covt[Dataset] cur_step=8273 phase=D_mixed_covt + + +[Dataset] cur_step=8273 phase=D_mixed_covt +[Dataset] cur_step=8273 phase=D_mixed_covt + 92%|█████████████████████████████▍ | 8273/9000 [7:13:08<25:20, 2.09s/it][Dataset] cur_step=8273 phase=D_mixed_covt + {'loss': '3.185', 'grad_norm': '2.893', 'learning_rate': '8.867e-07', 'epoch': '0.2976'} + 92%|█████████████████████████████▍ | 8273/9000 [7:13:08<25:20, 2.09s/it] {'lm_loss': '0.7928', 'visual_loss': '2.284', 'seg_loss': '0.7991', 'dino_loss': '0', 'depth_loss': '0.2667', 'vggt_mse_loss': '0.2644', 'vggt_cos_loss': '0.02234', 'pidinet_loss': '0.4218', 'siglip_loss': '0.7966', 'epoch': '0.2976'} + 92%|█████████████████████████████▍ | 8273/9000 [7:13:10<25:20, 2.09s/it][Dataset] cur_step=8274 phase=D_mixed_covt +[Dataset] cur_step=8274 phase=D_mixed_covt +[Dataset] cur_step=8274 phase=D_mixed_covt +[Dataset] cur_step=8274 phase=D_mixed_covt 92%|█████████████████████████████▍ | 8274/9000 [7:13:11<27:12, 2.25s/it] +[Dataset] cur_step=8274 phase=D_mixed_covt +[Dataset] cur_step=8274 phase=D_mixed_covt +[Dataset] cur_step=8274 phase=D_mixed_covt[Dataset] cur_step=8274 phase=D_mixed_covt + + {'loss': '2.427', 'grad_norm': '5.507', 'learning_rate': '8.842e-07', 'epoch': '0.2977'} + 92%|█████████████████████████████▍ | 8274/9000 [7:13:11<27:12, 2.25s/it] {'lm_loss': '0.4961', 'visual_loss': '3.454', 'seg_loss': '0.7909', 'dino_loss': '0.8448', 'depth_loss': '0.1738', 'vggt_mse_loss': '0.1724', 'vggt_cos_loss': '0.01312', 'pidinet_loss': '0.2573', 'siglip_loss': '1.387', 'epoch': '0.2977'} + 92%|█████████████████████████████▍ | 8274/9000 [7:13:13<27:12, 2.25s/it][Dataset] cur_step=8275 phase=D_mixed_covt +[Dataset] cur_step=8275 phase=D_mixed_covt +[Dataset] cur_step=8275 phase=D_mixed_covt +[Dataset] cur_step=8275 phase=D_mixed_covt +[Dataset] cur_step=8275 phase=D_mixed_covt +[Dataset] cur_step=8275 phase=D_mixed_covt 92%|█████████████████████████████▍ | 8275/9000 [7:13:14<29:27, 2.44s/it][Dataset] cur_step=8275 phase=D_mixed_covt + +[Dataset] cur_step=8275 phase=D_mixed_covt + {'loss': '3.3', 'grad_norm': '3.229', 'learning_rate': '8.818e-07', 'epoch': '0.2977'} + 92%|█████████████████████████████▍ | 8275/9000 [7:13:14<29:27, 2.44s/it] {'lm_loss': '0.5621', 'visual_loss': '2.898', 'seg_loss': '0.7637', 'dino_loss': '0.9118', 'depth_loss': '0.2244', 'vggt_mse_loss': '0.2225', 'vggt_cos_loss': '0.01844', 'pidinet_loss': '0.2696', 'siglip_loss': '0.7281', 'epoch': '0.2977'} + 92%|█████████████████████████████▍ | 8275/9000 [7:13:15<29:27, 2.44s/it][Dataset] cur_step=8276 phase=D_mixed_covt +[Dataset] cur_step=8276 phase=D_mixed_covt +[Dataset] cur_step=8276 phase=D_mixed_covt +[Dataset] cur_step=8276 phase=D_mixed_covt +[Dataset] cur_step=8276 phase=D_mixed_covt + 92%|█████████████████████████████▍ | 8276/9000 [7:13:17<30:46, 2.55s/it][Dataset] cur_step=8276 phase=D_mixed_covt +[Dataset] cur_step=8276 phase=D_mixed_covt +[Dataset] cur_step=8276 phase=D_mixed_covt + {'loss': '3.201', 'grad_norm': '7.351', 'learning_rate': '8.794e-07', 'epoch': '0.2977'} + 92%|█████████████████████████████▍ | 8276/9000 [7:13:17<30:46, 2.55s/it] {'lm_loss': '0.6694', 'visual_loss': '2.163', 'seg_loss': '0.5996', 'dino_loss': '0.9136', 'depth_loss': '0.4419', 'vggt_mse_loss': '0.4391', 'vggt_cos_loss': '0.02798', 'pidinet_loss': '0.2078', 'siglip_loss': '0', 'epoch': '0.2977'} + 92%|█████████████████████████████▍ | 8276/9000 [7:13:18<30:46, 2.55s/it][Dataset] cur_step=8277 phase=D_mixed_covt +[Dataset] cur_step=8277 phase=D_mixed_covt + 92%|█████████████████████████████▍ | 8277/9000 [7:13:19<29:11, 2.42s/it][Dataset] cur_step=8277 phase=D_mixed_covt +[Dataset] cur_step=8277 phase=D_mixed_covt[Dataset] cur_step=8277 phase=D_mixed_covt + +[Dataset] cur_step=8277 phase=D_mixed_covt +[Dataset] cur_step=8277 phase=D_mixed_covt +[Dataset] cur_step=8277 phase=D_mixed_covt + {'loss': '2.867', 'grad_norm': '2.27', 'learning_rate': '8.77e-07', 'epoch': '0.2978'} + 92%|█████████████████████████████▍ | 8277/9000 [7:13:19<29:11, 2.42s/it] {'lm_loss': '0.06746', 'visual_loss': '2.54', 'seg_loss': '0.6961', 'dino_loss': '0.9204', 'depth_loss': '0.2094', 'vggt_mse_loss': '0.2076', 'vggt_cos_loss': '0.01735', 'pidinet_loss': '0.1768', 'siglip_loss': '0.5373', 'epoch': '0.2978'} + 92%|█████████████████████████████▍ | 8277/9000 [7:13:22<29:11, 2.42s/it][Dataset] cur_step=8278 phase=D_mixed_covt +[Dataset] cur_step=8278 phase=D_mixed_covt +[Dataset] cur_step=8278 phase=D_mixed_covt +[Dataset] cur_step=8278 phase=D_mixed_covt[Dataset] cur_step=8278 phase=D_mixed_covt + + 92%|█████████████████████████████▍ | 8278/9000 [7:13:23<34:20, 2.85s/it][Dataset] cur_step=8278 phase=D_mixed_covt[Dataset] cur_step=8278 phase=D_mixed_covt + +[Dataset] cur_step=8278 phase=D_mixed_covt + {'loss': '3.125', 'grad_norm': '3.327', 'learning_rate': '8.746e-07', 'epoch': '0.2978'} + 92%|█████████████████████████████▍ | 8278/9000 [7:13:23<34:20, 2.85s/it] {'lm_loss': '0.6561', 'visual_loss': '2.591', 'seg_loss': '0.6611', 'dino_loss': '0.9175', 'depth_loss': '0.3484', 'vggt_mse_loss': '0.3458', 'vggt_cos_loss': '0.02573', 'pidinet_loss': '0.2502', 'siglip_loss': '0.4139', 'epoch': '0.2978'} + 92%|█████████████████████████████▍ | 8278/9000 [7:13:25<34:20, 2.85s/it][Dataset] cur_step=8279 phase=D_mixed_covt[Dataset] cur_step=8279 phase=D_mixed_covt + +[Dataset] cur_step=8279 phase=D_mixed_covt + 92%|█████████████████████████████▍ | 8279/9000 [7:13:25<32:52, 2.74s/it][Dataset] cur_step=8279 phase=D_mixed_covt +[Dataset] cur_step=8279 phase=D_mixed_covt +[Dataset] cur_step=8279 phase=D_mixed_covt +[Dataset] cur_step=8279 phase=D_mixed_covt +[Dataset] cur_step=8279 phase=D_mixed_covt + {'loss': '3.59', 'grad_norm': '9.536', 'learning_rate': '8.722e-07', 'epoch': '0.2978'} + 92%|█████████████████████████████▍ | 8279/9000 [7:13:25<32:52, 2.74s/it] {'lm_loss': '0.3804', 'visual_loss': '2.221', 'seg_loss': '0.6122', 'dino_loss': '0.8592', 'depth_loss': '0.1707', 'vggt_mse_loss': '0.1695', 'vggt_cos_loss': '0.01185', 'pidinet_loss': '0.15', 'siglip_loss': '0.4286', 'epoch': '0.2978'} + 92%|█████████████████████████████▍ | 8279/9000 [7:13:28<32:52, 2.74s/it][Dataset] cur_step=8280 phase=D_mixed_covt +[Dataset] cur_step=8280 phase=D_mixed_covt[Dataset] cur_step=8280 phase=D_mixed_covt + + 92%|█████████████████████████████▍ | 8280/9000 [7:13:28<34:06, 2.84s/it][Dataset] cur_step=8280 phase=D_mixed_covt +[Dataset] cur_step=8280 phase=D_mixed_covt[Dataset] cur_step=8280 phase=D_mixed_covt + +[Dataset] cur_step=8280 phase=D_mixed_covt +[Dataset] cur_step=8280 phase=D_mixed_covt + {'loss': '3.161', 'grad_norm': '2.226', 'learning_rate': '8.698e-07', 'epoch': '0.2979'} + 92%|█████████████████████████████▍ | 8280/9000 [7:13:28<34:06, 2.84s/it] {'lm_loss': '0.6092', 'visual_loss': '2.461', 'seg_loss': '0.5757', 'dino_loss': '0.9051', 'depth_loss': '0.3828', 'vggt_mse_loss': '0.3804', 'vggt_cos_loss': '0.02415', 'pidinet_loss': '0.1234', 'siglip_loss': '0.4737', 'epoch': '0.2979'} + 92%|█████████████████████████████▍ | 8280/9000 [7:13:30<34:06, 2.84s/it][Dataset] cur_step=8281 phase=D_mixed_covt +[Dataset] cur_step=8281 phase=D_mixed_covt +[Dataset] cur_step=8281 phase=D_mixed_covt +[Dataset] cur_step=8281 phase=D_mixed_covt +[Dataset] cur_step=8281 phase=D_mixed_covt +[Dataset] cur_step=8281 phase=D_mixed_covt +[Dataset] cur_step=8281 phase=D_mixed_covt +[Dataset] cur_step=8281 phase=D_mixed_covt + 92%|█████████████████████████████▍ | 8281/9000 [7:13:33<42:24, 3.54s/it] {'loss': '2.887', 'grad_norm': '8.457', 'learning_rate': '8.674e-07', 'epoch': '0.2979'} + 92%|█████████████████████████████▍ | 8281/9000 [7:13:33<42:24, 3.54s/it] {'lm_loss': '0.3873', 'visual_loss': '2.301', 'seg_loss': '0.5464', 'dino_loss': '0.8767', 'depth_loss': '0.1235', 'vggt_mse_loss': '0.1226', 'vggt_cos_loss': '0.009221', 'pidinet_loss': '0.2219', 'siglip_loss': '0.5322', 'epoch': '0.2979'} + 92%|█████████████████████████████▍ | 8281/9000 [7:13:36<42:24, 3.54s/it][Dataset] cur_step=8282 phase=D_mixed_covt +[Dataset] cur_step=8282 phase=D_mixed_covt[Dataset] cur_step=8282 phase=D_mixed_covt + +[Dataset] cur_step=8282 phase=D_mixed_covt + 92%|█████████████████████████████▍ | 8282/9000 [7:13:36<40:48, 3.41s/it][Dataset] cur_step=8282 phase=D_mixed_covt +[Dataset] cur_step=8282 phase=D_mixed_covt +[Dataset] cur_step=8282 phase=D_mixed_covt +[Dataset] cur_step=8282 phase=D_mixed_covt + {'loss': '3.027', 'grad_norm': '2.573', 'learning_rate': '8.65e-07', 'epoch': '0.2979'} + 92%|█████████████████████████████▍ | 8282/9000 [7:13:36<40:48, 3.41s/it] {'lm_loss': '1.411', 'visual_loss': '3.006', 'seg_loss': '0.8461', 'dino_loss': '0.9462', 'depth_loss': '0.3725', 'vggt_mse_loss': '0.37', 'vggt_cos_loss': '0.02506', 'pidinet_loss': '0.3069', 'siglip_loss': '0.5347', 'epoch': '0.2979'} + 92%|█████████████████████████████▍ | 8282/9000 [7:13:39<40:48, 3.41s/it][Dataset] cur_step=8283 phase=D_mixed_covt +[Dataset] cur_step=8283 phase=D_mixed_covt +[Dataset] cur_step=8283 phase=D_mixed_covt[Dataset] cur_step=8283 phase=D_mixed_covt + +[Dataset] cur_step=8283 phase=D_mixed_covt +[Dataset] cur_step=8283 phase=D_mixed_covt 92%|█████████████████████████████▍ | 8283/9000 [7:13:39<39:13, 3.28s/it] +[Dataset] cur_step=8283 phase=D_mixed_covt +[Dataset] cur_step=8283 phase=D_mixed_covt + {'loss': '3.422', 'grad_norm': '7.285', 'learning_rate': '8.626e-07', 'epoch': '0.298'} + 92%|█████████████████████████████▍ | 8283/9000 [7:13:39<39:13, 3.28s/it] {'lm_loss': '0.949', 'visual_loss': '2.641', 'seg_loss': '0.8874', 'dino_loss': '0.884', 'depth_loss': '0.197', 'vggt_mse_loss': '0.1956', 'vggt_cos_loss': '0.0137', 'pidinet_loss': '0.229', 'siglip_loss': '0.4435', 'epoch': '0.298'} + 92%|█████████████████████████████▍ | 8283/9000 [7:13:42<39:13, 3.28s/it][Dataset] cur_step=8284 phase=D_mixed_covt +[Dataset] cur_step=8284 phase=D_mixed_covt +[Dataset] cur_step=8284 phase=D_mixed_covt[Dataset] cur_step=8284 phase=D_mixed_covt + +[Dataset] cur_step=8284 phase=D_mixed_covt +[Dataset] cur_step=8284 phase=D_mixed_covt +[Dataset] cur_step=8284 phase=D_mixed_covt + 92%|█████████████████████████████▍ | 8284/9000 [7:13:43<39:17, 3.29s/it][Dataset] cur_step=8284 phase=D_mixed_covt + {'loss': '3.326', 'grad_norm': '2.626', 'learning_rate': '8.602e-07', 'epoch': '0.298'} + 92%|█████████████████████████████▍ | 8284/9000 [7:13:43<39:17, 3.29s/it] {'lm_loss': '1.034', 'visual_loss': '2.592', 'seg_loss': '0.6352', 'dino_loss': '0.9392', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2514', 'siglip_loss': '0.7664', 'epoch': '0.298'} + 92%|█████████████████████████████▍ | 8284/9000 [7:13:44<39:17, 3.29s/it][Dataset] cur_step=8285 phase=D_mixed_covt +[Dataset] cur_step=8285 phase=D_mixed_covt +[Dataset] cur_step=8285 phase=D_mixed_covt +[Dataset] cur_step=8285 phase=D_mixed_covt + 92%|█████████████████████████████▍ | 8285/9000 [7:13:45<33:38, 2.82s/it][Dataset] cur_step=8285 phase=D_mixed_covt +[Dataset] cur_step=8285 phase=D_mixed_covt[Dataset] cur_step=8285 phase=D_mixed_covt + +[Dataset] cur_step=8285 phase=D_mixed_covt + {'loss': '3.237', 'grad_norm': '4.536', 'learning_rate': '8.578e-07', 'epoch': '0.2981'} + 92%|█████████████████████████████▍ | 8285/9000 [7:13:45<33:38, 2.82s/it] {'lm_loss': '0.7406', 'visual_loss': '1.718', 'seg_loss': '0.672', 'dino_loss': '0.8423', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.08834', 'siglip_loss': '0.1158', 'epoch': '0.2981'} + 92%|█████████████████████████████▍ | 8285/9000 [7:13:46<33:38, 2.82s/it][Dataset] cur_step=8286 phase=D_mixed_covt +[Dataset] cur_step=8286 phase=D_mixed_covt +[Dataset] cur_step=8286 phase=D_mixed_covt +[Dataset] cur_step=8286 phase=D_mixed_covt +[Dataset] cur_step=8286 phase=D_mixed_covt +[Dataset] cur_step=8286 phase=D_mixed_covt[Dataset] cur_step=8286 phase=D_mixed_covt + +[Dataset] cur_step=8286 phase=D_mixed_covt + 92%|█████████████████████████████▍ | 8286/9000 [7:13:47<31:59, 2.69s/it] {'loss': '2.91', 'grad_norm': '2.026', 'learning_rate': '8.554e-07', 'epoch': '0.2981'} + 92%|█████████████████████████████▍ | 8286/9000 [7:13:47<31:59, 2.69s/it] {'lm_loss': '0.3946', 'visual_loss': '2.69', 'seg_loss': '0.698', 'dino_loss': '0.8863', 'depth_loss': '0.3162', 'vggt_mse_loss': '0.3143', 'vggt_cos_loss': '0.01927', 'pidinet_loss': '0.2329', 'siglip_loss': '0.5569', 'epoch': '0.2981'} + 92%|█████████████████████████████▍ | 8286/9000 [7:13:49<31:59, 2.69s/it][Dataset] cur_step=8287 phase=D_mixed_covt +[Dataset] cur_step=8287 phase=D_mixed_covt +[Dataset] cur_step=8287 phase=D_mixed_covt +[Dataset] cur_step=8287 phase=D_mixed_covt +[Dataset] cur_step=8287 phase=D_mixed_covt +[Dataset] cur_step=8287 phase=D_mixed_covt +[Dataset] cur_step=8287 phase=D_mixed_covt + 92%|█████████████████████████████▍ | 8287/9000 [7:13:50<33:29, 2.82s/it][Dataset] cur_step=8287 phase=D_mixed_covt + {'loss': '3.166', 'grad_norm': '3.49', 'learning_rate': '8.53e-07', 'epoch': '0.2981'} + 92%|█████████████████████████████▍ | 8287/9000 [7:13:50<33:29, 2.82s/it] {'lm_loss': '0.7211', 'visual_loss': '2.297', 'seg_loss': '0', 'dino_loss': '0.9412', 'depth_loss': '0.1517', 'vggt_mse_loss': '0.1507', 'vggt_cos_loss': '0.01048', 'pidinet_loss': '0.1609', 'siglip_loss': '1.044', 'epoch': '0.2981'} + 92%|█████████████████████████████▍ | 8287/9000 [7:13:51<33:29, 2.82s/it][Dataset] cur_step=8288 phase=D_mixed_covt +[Dataset] cur_step=8288 phase=D_mixed_covt +[Dataset] cur_step=8288 phase=D_mixed_covt[Dataset] cur_step=8288 phase=D_mixed_covt + +[Dataset] cur_step=8288 phase=D_mixed_covt + 92%|█████████████████████████████▍ | 8288/9000 [7:13:51<27:35, 2.33s/it][Dataset] cur_step=8288 phase=D_mixed_covt +[Dataset] cur_step=8288 phase=D_mixed_covt +[Dataset] cur_step=8288 phase=D_mixed_covt + {'loss': '2.516', 'grad_norm': '3.174', 'learning_rate': '8.507e-07', 'epoch': '0.2982'} + 92%|█████████████████████████████▍ | 8288/9000 [7:13:51<27:35, 2.33s/it] {'lm_loss': '0.398', 'visual_loss': '2.632', 'seg_loss': '0.7902', 'dino_loss': '0.9166', 'depth_loss': '0.2368', 'vggt_mse_loss': '0.2352', 'vggt_cos_loss': '0.01626', 'pidinet_loss': '0.1685', 'siglip_loss': '0.5196', 'epoch': '0.2982'} + 92%|█████████████████████████████▍ | 8288/9000 [7:13:53<27:35, 2.33s/it][Dataset] cur_step=8289 phase=D_mixed_covt +[Dataset] cur_step=8289 phase=D_mixed_covt +[Dataset] cur_step=8289 phase=D_mixed_covt + 92%|█████████████████████████████▍ | 8289/9000 [7:13:54<28:02, 2.37s/it][Dataset] cur_step=8289 phase=D_mixed_covt[Dataset] cur_step=8289 phase=D_mixed_covt + +[Dataset] cur_step=8289 phase=D_mixed_covt +[Dataset] cur_step=8289 phase=D_mixed_covt +[Dataset] cur_step=8289 phase=D_mixed_covt + {'loss': '3.574', 'grad_norm': '8.357', 'learning_rate': '8.483e-07', 'epoch': '0.2982'} + 92%|█████████████████████████████▍ | 8289/9000 [7:13:54<28:02, 2.37s/it] {'lm_loss': '0.6246', 'visual_loss': '2.41', 'seg_loss': '0.6472', 'dino_loss': '0.8308', 'depth_loss': '0.1887', 'vggt_mse_loss': '0.1873', 'vggt_cos_loss': '0.01373', 'pidinet_loss': '0.2665', 'siglip_loss': '0.4774', 'epoch': '0.2982'} + 92%|█████████████████████████████▍ | 8289/9000 [7:13:56<28:02, 2.37s/it][Dataset] cur_step=8290 phase=D_mixed_covt +[Dataset] cur_step=8290 phase=D_mixed_covt +[Dataset] cur_step=8290 phase=D_mixed_covt[Dataset] cur_step=8290 phase=D_mixed_covt + + 92%|█████████████████████████████▍ | 8290/9000 [7:13:56<29:26, 2.49s/it][Dataset] cur_step=8290 phase=D_mixed_covt[Dataset] cur_step=8290 phase=D_mixed_covt + +[Dataset] cur_step=8290 phase=D_mixed_covt +[Dataset] cur_step=8290 phase=D_mixed_covt + {'loss': '3.123', 'grad_norm': '3.768', 'learning_rate': '8.459e-07', 'epoch': '0.2982'} + 92%|█████████████████████████████▍ | 8290/9000 [7:13:56<29:26, 2.49s/it] {'lm_loss': '0.05902', 'visual_loss': '2.381', 'seg_loss': '0.5987', 'dino_loss': '0.9191', 'depth_loss': '0.2357', 'vggt_mse_loss': '0.2342', 'vggt_cos_loss': '0.01481', 'pidinet_loss': '0.1539', 'siglip_loss': '0.4739', 'epoch': '0.2982'} + 92%|█████████████████████████████▍ | 8290/9000 [7:13:59<29:26, 2.49s/it][Dataset] cur_step=8291 phase=D_mixed_covt +[Dataset] cur_step=8291 phase=D_mixed_covt +[Dataset] cur_step=8291 phase=D_mixed_covt +[Dataset] cur_step=8291 phase=D_mixed_covt 92%|█████████████████████████████▍ | 8291/9000 [7:13:59<29:50, 2.53s/it] +[Dataset] cur_step=8291 phase=D_mixed_covt +[Dataset] cur_step=8291 phase=D_mixed_covt[Dataset] cur_step=8291 phase=D_mixed_covt + +[Dataset] cur_step=8291 phase=D_mixed_covt + {'loss': '3.086', 'grad_norm': '2.07', 'learning_rate': '8.436e-07', 'epoch': '0.2983'} + 92%|█████████████████████████████▍ | 8291/9000 [7:13:59<29:50, 2.53s/it] {'lm_loss': '0.2875', 'visual_loss': '2.683', 'seg_loss': '0.8124', 'dino_loss': '0.9283', 'depth_loss': '0.2229', 'vggt_mse_loss': '0.2212', 'vggt_cos_loss': '0.01663', 'pidinet_loss': '0.2661', 'siglip_loss': '0.4531', 'epoch': '0.2983'} + 92%|█████████████████████████████▍ | 8291/9000 [7:14:03<29:50, 2.53s/it][Dataset] cur_step=8292 phase=D_mixed_covt +[Dataset] cur_step=8292 phase=D_mixed_covt + 92%|█████████████████████████████▍ | 8292/9000 [7:14:04<39:16, 3.33s/it][Dataset] cur_step=8292 phase=D_mixed_covt +[Dataset] cur_step=8292 phase=D_mixed_covt +[Dataset] cur_step=8292 phase=D_mixed_covt +[Dataset] cur_step=8292 phase=D_mixed_covt +[Dataset] cur_step=8292 phase=D_mixed_covt +[Dataset] cur_step=8292 phase=D_mixed_covt + {'loss': '3.206', 'grad_norm': '2.375', 'learning_rate': '8.412e-07', 'epoch': '0.2983'} + 92%|█████████████████████████████▍ | 8292/9000 [7:14:04<39:16, 3.33s/it] {'lm_loss': '0.5475', 'visual_loss': '2.798', 'seg_loss': '0.648', 'dino_loss': '0.9299', 'depth_loss': '0.3095', 'vggt_mse_loss': '0.3071', 'vggt_cos_loss': '0.02417', 'pidinet_loss': '0.2246', 'siglip_loss': '0.6862', 'epoch': '0.2983'} + 92%|█████████████████████████████▍ | 8292/9000 [7:14:07<39:16, 3.33s/it][Dataset] cur_step=8293 phase=D_mixed_covt +[Dataset] cur_step=8293 phase=D_mixed_covt[Dataset] cur_step=8293 phase=D_mixed_covt + +[Dataset] cur_step=8293 phase=D_mixed_covt +[Dataset] cur_step=8293 phase=D_mixed_covt +[Dataset] cur_step=8293 phase=D_mixed_covt 92%|█████████████████████████████▍ | 8293/9000 [7:14:08<41:58, 3.56s/it] +[Dataset] cur_step=8293 phase=D_mixed_covt +[Dataset] cur_step=8293 phase=D_mixed_covt + {'loss': '3.078', 'grad_norm': '2.564', 'learning_rate': '8.388e-07', 'epoch': '0.2983'} + 92%|█████████████████████████████▍ | 8293/9000 [7:14:08<41:58, 3.56s/it] {'lm_loss': '0.6125', 'visual_loss': '2.215', 'seg_loss': '0.7489', 'dino_loss': '0.9328', 'depth_loss': '0.3156', 'vggt_mse_loss': '0.3132', 'vggt_cos_loss': '0.02456', 'pidinet_loss': '0.2173', 'siglip_loss': '0', 'epoch': '0.2983'} + 92%|█████████████████████████████▍ | 8293/9000 [7:14:11<41:58, 3.56s/it][Dataset] cur_step=8294 phase=D_mixed_covt +[Dataset] cur_step=8294 phase=D_mixed_covt +[Dataset] cur_step=8294 phase=D_mixed_covt[Dataset] cur_step=8294 phase=D_mixed_covt + +[Dataset] cur_step=8294 phase=D_mixed_covt[Dataset] cur_step=8294 phase=D_mixed_covt + +[Dataset] cur_step=8294 phase=D_mixed_covt 92%|█████████████████████████████▍ | 8294/9000 [7:14:11<40:22, 3.43s/it] +[Dataset] cur_step=8294 phase=D_mixed_covt + {'loss': '2.617', 'grad_norm': '11.3', 'learning_rate': '8.365e-07', 'epoch': '0.2984'} + 92%|█████████████████████████████▍ | 8294/9000 [7:14:11<40:22, 3.43s/it] {'lm_loss': '0.3321', 'visual_loss': '2.411', 'seg_loss': '0.6084', 'dino_loss': '0.8936', 'depth_loss': '0.1993', 'vggt_mse_loss': '0.1983', 'vggt_cos_loss': '0.01036', 'pidinet_loss': '0.1639', 'siglip_loss': '0.5461', 'epoch': '0.2984'} + 92%|█████████████████████████████▍ | 8294/9000 [7:14:13<40:22, 3.43s/it][Dataset] cur_step=8295 phase=D_mixed_covt +[Dataset] cur_step=8295 phase=D_mixed_covt[Dataset] cur_step=8295 phase=D_mixed_covt + +[Dataset] cur_step=8295 phase=D_mixed_covt +[Dataset] cur_step=8295 phase=D_mixed_covt + 92%|█████████████████████████████▍ | 8295/9000 [7:14:16<45:27, 3.87s/it][Dataset] cur_step=8295 phase=D_mixed_covt[Dataset] cur_step=8295 phase=D_mixed_covt + +[Dataset] cur_step=8295 phase=D_mixed_covt + {'loss': '2.901', 'grad_norm': '3.043', 'learning_rate': '8.341e-07', 'epoch': '0.2984'} + 92%|█████████████████████████████▍ | 8295/9000 [7:14:16<45:27, 3.87s/it] {'lm_loss': '0.6363', 'visual_loss': '2.683', 'seg_loss': '0.7974', 'dino_loss': '0.8961', 'depth_loss': '0.1979', 'vggt_mse_loss': '0.1966', 'vggt_cos_loss': '0.01279', 'pidinet_loss': '0.2116', 'siglip_loss': '0.5797', 'epoch': '0.2984'} + 92%|█████████████████████████████▍ | 8295/9000 [7:14:18<45:27, 3.87s/it][Dataset] cur_step=8296 phase=D_mixed_covt[Dataset] cur_step=8296 phase=D_mixed_covt[Dataset] cur_step=8296 phase=D_mixed_covt + + +[Dataset] cur_step=8296 phase=D_mixed_covt +[Dataset] cur_step=8296 phase=D_mixed_covt 92%|█████████████████████████████▍ | 8296/9000 [7:14:19<39:23, 3.36s/it] +[Dataset] cur_step=8296 phase=D_mixed_covt +[Dataset] cur_step=8296 phase=D_mixed_covt +[Dataset] cur_step=8296 phase=D_mixed_covt + {'loss': '3.56', 'grad_norm': '2.566', 'learning_rate': '8.318e-07', 'epoch': '0.2984'} + 92%|█████████████████████████████▍ | 8296/9000 [7:14:19<39:23, 3.36s/it] {'lm_loss': '0.8164', 'visual_loss': '2.584', 'seg_loss': '0.7417', 'dino_loss': '0.9438', 'depth_loss': '0.2272', 'vggt_mse_loss': '0.2258', 'vggt_cos_loss': '0.01427', 'pidinet_loss': '0.2267', 'siglip_loss': '0.4447', 'epoch': '0.2984'} + 92%|█████████████████████████████▍ | 8296/9000 [7:14:21<39:23, 3.36s/it][Dataset] cur_step=8297 phase=D_mixed_covt[Dataset] cur_step=8297 phase=D_mixed_covt + +[Dataset] cur_step=8297 phase=D_mixed_covt + 92%|█████████████████████████████▌ | 8297/9000 [7:14:22<38:30, 3.29s/it][Dataset] cur_step=8297 phase=D_mixed_covt[Dataset] cur_step=8297 phase=D_mixed_covt[Dataset] cur_step=8297 phase=D_mixed_covt + + +[Dataset] cur_step=8297 phase=D_mixed_covt +[Dataset] cur_step=8297 phase=D_mixed_covt + {'loss': '3.141', 'grad_norm': '3.438', 'learning_rate': '8.294e-07', 'epoch': '0.2985'} + 92%|█████████████████████████████▌ | 8297/9000 [7:14:22<38:30, 3.29s/it] {'lm_loss': '0.9688', 'visual_loss': '2.213', 'seg_loss': '0.79', 'dino_loss': '0.9328', 'depth_loss': '0.1918', 'vggt_mse_loss': '0.1905', 'vggt_cos_loss': '0.01303', 'pidinet_loss': '0.1412', 'siglip_loss': '0.1574', 'epoch': '0.2985'} + 92%|█████████████████████████████▌ | 8297/9000 [7:14:23<38:30, 3.29s/it][Dataset] cur_step=8298 phase=D_mixed_covt[Dataset] cur_step=8298 phase=D_mixed_covt + +[Dataset] cur_step=8298 phase=D_mixed_covt +[Dataset] cur_step=8298 phase=D_mixed_covt[Dataset] cur_step=8298 phase=D_mixed_covt + +[Dataset] cur_step=8298 phase=D_mixed_covt 92%|█████████████████████████████▌ | 8298/9000 [7:14:24<35:45, 3.06s/it] +[Dataset] cur_step=8298 phase=D_mixed_covt +[Dataset] cur_step=8298 phase=D_mixed_covt + {'loss': '3.605', 'grad_norm': '5.577', 'learning_rate': '8.271e-07', 'epoch': '0.2985'} + 92%|█████████████████████████████▌ | 8298/9000 [7:14:24<35:45, 3.06s/it] {'lm_loss': '0.5923', 'visual_loss': '2.948', 'seg_loss': '0.8949', 'dino_loss': '0.8691', 'depth_loss': '0.2024', 'vggt_mse_loss': '0.2011', 'vggt_cos_loss': '0.0132', 'pidinet_loss': '0.2985', 'siglip_loss': '0.6828', 'epoch': '0.2985'} + 92%|█████████████████████████████▌ | 8298/9000 [7:14:25<35:45, 3.06s/it][Dataset] cur_step=8299 phase=D_mixed_covt +[Dataset] cur_step=8299 phase=D_mixed_covt[Dataset] cur_step=8299 phase=D_mixed_covt + +[Dataset] cur_step=8299 phase=D_mixed_covt[Dataset] cur_step=8299 phase=D_mixed_covt + + 92%|█████████████████████████████▌ | 8299/9000 [7:14:26<31:33, 2.70s/it][Dataset] cur_step=8299 phase=D_mixed_covt[Dataset] cur_step=8299 phase=D_mixed_covt + +[Dataset] cur_step=8299 phase=D_mixed_covt + {'loss': '3.287', 'grad_norm': '4.605', 'learning_rate': '8.247e-07', 'epoch': '0.2986'} + 92%|█████████████████████████████▌ | 8299/9000 [7:14:26<31:33, 2.70s/it] {'lm_loss': '0.3782', 'visual_loss': '2.125', 'seg_loss': '0.6865', 'dino_loss': '0.8796', 'depth_loss': '0.2569', 'vggt_mse_loss': '0.2551', 'vggt_cos_loss': '0.01784', 'pidinet_loss': '0', 'siglip_loss': '0.3019', 'epoch': '0.2986'} + 92%|█████████████████████████████▌ | 8299/9000 [7:14:29<31:33, 2.70s/it][Dataset] cur_step=8300 phase=D_mixed_covt +[Dataset] cur_step=8300 phase=D_mixed_covt +[Dataset] cur_step=8300 phase=D_mixed_covt +[Dataset] cur_step=8300 phase=D_mixed_covt 92%|█████████████████████████████▌ | 8300/9000 [7:14:29<33:16, 2.85s/it][Dataset] cur_step=8300 phase=D_mixed_covt + +[Dataset] cur_step=8300 phase=D_mixed_covt +[Dataset] cur_step=8300 phase=D_mixed_covt +[Dataset] cur_step=8300 phase=D_mixed_covt + {'loss': '2.934', 'grad_norm': '3.334', 'learning_rate': '8.224e-07', 'epoch': '0.2986'} + 92%|█████████████████████████████▌ | 8300/9000 [7:14:29<33:16, 2.85s/it] {'lm_loss': '0.671', 'visual_loss': '2.65', 'seg_loss': '0.6817', 'dino_loss': '0.8899', 'depth_loss': '0.2063', 'vggt_mse_loss': '0.2047', 'vggt_cos_loss': '0.01557', 'pidinet_loss': '0.2632', 'siglip_loss': '0.6085', 'epoch': '0.2986'} + 92%|█████████████████████████████▌ | 8300/9000 [7:14:31<33:16, 2.85s/it][Dataset] cur_step=8301 phase=D_mixed_covt[Dataset] cur_step=8301 phase=D_mixed_covt[Dataset] cur_step=8301 phase=D_mixed_covt + +[Dataset] cur_step=8301 phase=D_mixed_covt + + 92%|█████████████████████████████▌ | 8301/9000 [7:14:32<32:36, 2.80s/it][Dataset] cur_step=8301 phase=D_mixed_covt +[Dataset] cur_step=8301 phase=D_mixed_covt +[Dataset] cur_step=8301 phase=D_mixed_covt +[Dataset] cur_step=8301 phase=D_mixed_covt + {'loss': '3.217', 'grad_norm': '2.904', 'learning_rate': '8.201e-07', 'epoch': '0.2986'} + 92%|█████████████████████████████▌ | 8301/9000 [7:14:32<32:36, 2.80s/it] {'lm_loss': '0.4626', 'visual_loss': '2.752', 'seg_loss': '0.7773', 'dino_loss': '0.8952', 'depth_loss': '0.328', 'vggt_mse_loss': '0.3257', 'vggt_cos_loss': '0.02267', 'pidinet_loss': '0.2124', 'siglip_loss': '0.5387', 'epoch': '0.2986'} + 92%|█████████████████████████████▌ | 8301/9000 [7:14:34<32:36, 2.80s/it][Dataset] cur_step=8302 phase=D_mixed_covt +[Dataset] cur_step=8302 phase=D_mixed_covt +[Dataset] cur_step=8302 phase=D_mixed_covt[Dataset] cur_step=8302 phase=D_mixed_covt + +[Dataset] cur_step=8302 phase=D_mixed_covt + 92%|█████████████████████████████▌ | 8302/9000 [7:14:35<33:15, 2.86s/it][Dataset] cur_step=8302 phase=D_mixed_covt +[Dataset] cur_step=8302 phase=D_mixed_covt +[Dataset] cur_step=8302 phase=D_mixed_covt + {'loss': '3.409', 'grad_norm': '2.4', 'learning_rate': '8.177e-07', 'epoch': '0.2987'} + 92%|█████████████████████████████▌ | 8302/9000 [7:14:35<33:15, 2.86s/it] {'lm_loss': '0.1872', 'visual_loss': '2.667', 'seg_loss': '0.5596', 'dino_loss': '0.8909', 'depth_loss': '0.3676', 'vggt_mse_loss': '0.3655', 'vggt_cos_loss': '0.02079', 'pidinet_loss': '0.1121', 'siglip_loss': '0.737', 'epoch': '0.2987'} + 92%|█████████████████████████████▌ | 8302/9000 [7:14:36<33:15, 2.86s/it][Dataset] cur_step=8303 phase=D_mixed_covt[Dataset] cur_step=8303 phase=D_mixed_covt +[Dataset] cur_step=8303 phase=D_mixed_covt + + 92%|█████████████████████████████▌ | 8303/9000 [7:14:37<29:59, 2.58s/it][Dataset] cur_step=8303 phase=D_mixed_covt +[Dataset] cur_step=8303 phase=D_mixed_covt +[Dataset] cur_step=8303 phase=D_mixed_covt +[Dataset] cur_step=8303 phase=D_mixed_covt[Dataset] cur_step=8303 phase=D_mixed_covt + + {'loss': '3.139', 'grad_norm': '4.151', 'learning_rate': '8.154e-07', 'epoch': '0.2987'} + 92%|█████████████████████████████▌ | 8303/9000 [7:14:37<29:59, 2.58s/it] {'lm_loss': '0.5121', 'visual_loss': '2.647', 'seg_loss': '0.6107', 'dino_loss': '0.8976', 'depth_loss': '0.3216', 'vggt_mse_loss': '0.3189', 'vggt_cos_loss': '0.02663', 'pidinet_loss': '0.2367', 'siglip_loss': '0.58', 'epoch': '0.2987'} + 92%|█████████████████████████████▌ | 8303/9000 [7:14:38<29:59, 2.58s/it][Dataset] cur_step=8304 phase=D_mixed_covt + 92%|█████████████████████████████▌ | 8304/9000 [7:14:39<29:00, 2.50s/it][Dataset] cur_step=8304 phase=D_mixed_covt +[Dataset] cur_step=8304 phase=D_mixed_covt[Dataset] cur_step=8304 phase=D_mixed_covt + +[Dataset] cur_step=8304 phase=D_mixed_covt +[Dataset] cur_step=8304 phase=D_mixed_covt +[Dataset] cur_step=8304 phase=D_mixed_covt +[Dataset] cur_step=8304 phase=D_mixed_covt + {'loss': '3.084', 'grad_norm': '3.024', 'learning_rate': '8.131e-07', 'epoch': '0.2987'} + 92%|█████████████████████████████▌ | 8304/9000 [7:14:39<29:00, 2.50s/it] {'lm_loss': '0.4259', 'visual_loss': '2.7', 'seg_loss': '0.7326', 'dino_loss': '0.9327', 'depth_loss': '0.2268', 'vggt_mse_loss': '0.2251', 'vggt_cos_loss': '0.01718', 'pidinet_loss': '0.2538', 'siglip_loss': '0.5542', 'epoch': '0.2987'} + 92%|█████████████████████████████▌ | 8304/9000 [7:14:41<29:00, 2.50s/it][Dataset] cur_step=8305 phase=D_mixed_covt +[Dataset] cur_step=8305 phase=D_mixed_covt[Dataset] cur_step=8305 phase=D_mixed_covt + +[Dataset] cur_step=8305 phase=D_mixed_covt + 92%|█████████████████████████████▌ | 8305/9000 [7:14:44<36:20, 3.14s/it][Dataset] cur_step=8305 phase=D_mixed_covt +[Dataset] cur_step=8305 phase=D_mixed_covt +[Dataset] cur_step=8305 phase=D_mixed_covt +[Dataset] cur_step=8305 phase=D_mixed_covt + {'loss': '3.393', 'grad_norm': '8.876', 'learning_rate': '8.107e-07', 'epoch': '0.2988'} + 92%|█████████████████████████████▌ | 8305/9000 [7:14:44<36:20, 3.14s/it] {'lm_loss': '0.1858', 'visual_loss': '1.767', 'seg_loss': '0.6677', 'dino_loss': '0', 'depth_loss': '0.1716', 'vggt_mse_loss': '0.1701', 'vggt_cos_loss': '0.01528', 'pidinet_loss': '0.2907', 'siglip_loss': '0.6369', 'epoch': '0.2988'} + 92%|█████████████████████████████▌ | 8305/9000 [7:14:45<36:20, 3.14s/it][Dataset] cur_step=8306 phase=D_mixed_covt +[Dataset] cur_step=8306 phase=D_mixed_covt[Dataset] cur_step=8306 phase=D_mixed_covt[Dataset] cur_step=8306 phase=D_mixed_covt + + + 92%|█████████████████████████████▌ | 8306/9000 [7:14:46<32:33, 2.81s/it][Dataset] cur_step=8306 phase=D_mixed_covt +[Dataset] cur_step=8306 phase=D_mixed_covt +[Dataset] cur_step=8306 phase=D_mixed_covt +[Dataset] cur_step=8306 phase=D_mixed_covt + {'loss': '2.396', 'grad_norm': '3.233', 'learning_rate': '8.084e-07', 'epoch': '0.2988'} + 92%|█████████████████████████████▌ | 8306/9000 [7:14:46<32:33, 2.81s/it] {'lm_loss': '0.7542', 'visual_loss': '1.396', 'seg_loss': '0', 'dino_loss': '0.8751', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0', 'siglip_loss': '0.5204', 'epoch': '0.2988'} + 92%|█████████████████████████████▌ | 8306/9000 [7:14:46<32:33, 2.81s/it][Dataset] cur_step=8307 phase=D_mixed_covt[Dataset] cur_step=8307 phase=D_mixed_covt + +[Dataset] cur_step=8307 phase=D_mixed_covt + 92%|█████████████████████████████▌ | 8307/9000 [7:14:47<25:44, 2.23s/it][Dataset] cur_step=8307 phase=D_mixed_covt +[Dataset] cur_step=8307 phase=D_mixed_covt +[Dataset] cur_step=8307 phase=D_mixed_covt +[Dataset] cur_step=8307 phase=D_mixed_covt +[Dataset] cur_step=8307 phase=D_mixed_covt + {'loss': '2.263', 'grad_norm': '2.88', 'learning_rate': '8.061e-07', 'epoch': '0.2988'} + 92%|█████████████████████████████▌ | 8307/9000 [7:14:47<25:44, 2.23s/it] {'lm_loss': '0.3337', 'visual_loss': '2.573', 'seg_loss': '0.7466', 'dino_loss': '0.9106', 'depth_loss': '0.208', 'vggt_mse_loss': '0.2065', 'vggt_cos_loss': '0.01469', 'pidinet_loss': '0.2774', 'siglip_loss': '0.4306', 'epoch': '0.2988'} + 92%|█████████████████████████████▌ | 8307/9000 [7:14:50<25:44, 2.23s/it][Dataset] cur_step=8308 phase=D_mixed_covt +[Dataset] cur_step=8308 phase=D_mixed_covt +[Dataset] cur_step=8308 phase=D_mixed_covt +[Dataset] cur_step=8308 phase=D_mixed_covt +[Dataset] cur_step=8308 phase=D_mixed_covt +[Dataset] cur_step=8308 phase=D_mixed_covt +[Dataset] cur_step=8308 phase=D_mixed_covt +[Dataset] cur_step=8308 phase=D_mixed_covt + 92%|█████████████████████████████▌ | 8308/9000 [7:14:51<32:39, 2.83s/it] {'loss': '3.22', 'grad_norm': '1.819', 'learning_rate': '8.038e-07', 'epoch': '0.2989'} + 92%|█████████████████████████████▌ | 8308/9000 [7:14:51<32:39, 2.83s/it] {'lm_loss': '0.9195', 'visual_loss': '2.88', 'seg_loss': '0.9696', 'dino_loss': '0.8957', 'depth_loss': '0.2646', 'vggt_mse_loss': '0.2623', 'vggt_cos_loss': '0.02383', 'pidinet_loss': '0.2336', 'siglip_loss': '0.5162', 'epoch': '0.2989'} + 92%|█████████████████████████████▌ | 8308/9000 [7:14:52<32:39, 2.83s/it][Dataset] cur_step=8309 phase=D_mixed_covt +[Dataset] cur_step=8309 phase=D_mixed_covt + 92%|█████████████████████████████▌ | 8309/9000 [7:14:53<29:39, 2.58s/it][Dataset] cur_step=8309 phase=D_mixed_covt +[Dataset] cur_step=8309 phase=D_mixed_covt +[Dataset] cur_step=8309 phase=D_mixed_covt +[Dataset] cur_step=8309 phase=D_mixed_covt +[Dataset] cur_step=8309 phase=D_mixed_covt +[Dataset] cur_step=8309 phase=D_mixed_covt + {'loss': '3.459', 'grad_norm': '4.543', 'learning_rate': '8.015e-07', 'epoch': '0.2989'} + 92%|█████████████████████████████▌ | 8309/9000 [7:14:53<29:39, 2.58s/it] {'lm_loss': '0.8639', 'visual_loss': '2.488', 'seg_loss': '0.7507', 'dino_loss': '0.8903', 'depth_loss': '0.2834', 'vggt_mse_loss': '0.2817', 'vggt_cos_loss': '0.01629', 'pidinet_loss': '0.1879', 'siglip_loss': '0.376', 'epoch': '0.2989'} + 92%|█████████████████████████████▌ | 8309/9000 [7:14:54<29:39, 2.58s/it][Dataset] cur_step=8310 phase=D_mixed_covt +[Dataset] cur_step=8310 phase=D_mixed_covt +[Dataset] cur_step=8310 phase=D_mixed_covt + 92%|█████████████████████████████▌ | 8310/9000 [7:14:55<27:26, 2.39s/it][Dataset] cur_step=8310 phase=D_mixed_covt +[Dataset] cur_step=8310 phase=D_mixed_covt +[Dataset] cur_step=8310 phase=D_mixed_covt +[Dataset] cur_step=8310 phase=D_mixed_covt +[Dataset] cur_step=8310 phase=D_mixed_covt + {'loss': '3.116', 'grad_norm': '4.219', 'learning_rate': '7.992e-07', 'epoch': '0.299'} + 92%|█████████████████████████████▌ | 8310/9000 [7:14:55<27:26, 2.39s/it] {'lm_loss': '0.6507', 'visual_loss': '2.613', 'seg_loss': '0.7298', 'dino_loss': '0.9144', 'depth_loss': '0.2687', 'vggt_mse_loss': '0.2667', 'vggt_cos_loss': '0.01982', 'pidinet_loss': '0.2394', 'siglip_loss': '0.461', 'epoch': '0.299'} + 92%|█████████████████████████████▌ | 8310/9000 [7:14:57<27:26, 2.39s/it][Dataset] cur_step=8311 phase=D_mixed_covt +[Dataset] cur_step=8311 phase=D_mixed_covt +[Dataset] cur_step=8311 phase=D_mixed_covt[Dataset] cur_step=8311 phase=D_mixed_covt + + 92%|█████████████████████████████▌ | 8311/9000 [7:14:58<30:56, 2.69s/it][Dataset] cur_step=8311 phase=D_mixed_covt +[Dataset] cur_step=8311 phase=D_mixed_covt[Dataset] cur_step=8311 phase=D_mixed_covt + +[Dataset] cur_step=8311 phase=D_mixed_covt + {'loss': '3.264', 'grad_norm': '14.99', 'learning_rate': '7.969e-07', 'epoch': '0.299'} + 92%|█████████████████████████████▌ | 8311/9000 [7:14:58<30:56, 2.69s/it] {'lm_loss': '0.5307', 'visual_loss': '2.579', 'seg_loss': '0.6128', 'dino_loss': '0.8706', 'depth_loss': '0.2111', 'vggt_mse_loss': '0.2096', 'vggt_cos_loss': '0.01432', 'pidinet_loss': '0.2937', 'siglip_loss': '0.5909', 'epoch': '0.299'} + 92%|█████████████████████████████▌ | 8311/9000 [7:15:00<30:56, 2.69s/it][Dataset] cur_step=8312 phase=D_mixed_covt +[Dataset] cur_step=8312 phase=D_mixed_covt +[Dataset] cur_step=8312 phase=D_mixed_covt[Dataset] cur_step=8312 phase=D_mixed_covt + +[Dataset] cur_step=8312 phase=D_mixed_covt + 92%|█████████████████████████████▌ | 8312/9000 [7:15:03<38:10, 3.33s/it][Dataset] cur_step=8312 phase=D_mixed_covt +[Dataset] cur_step=8312 phase=D_mixed_covt +[Dataset] cur_step=8312 phase=D_mixed_covt + {'loss': '3.44', 'grad_norm': '2.114', 'learning_rate': '7.946e-07', 'epoch': '0.299'} + 92%|█████████████████████████████▌ | 8312/9000 [7:15:03<38:10, 3.33s/it] {'lm_loss': '0.5923', 'visual_loss': '2.726', 'seg_loss': '0.6595', 'dino_loss': '0.8986', 'depth_loss': '0.2464', 'vggt_mse_loss': '0.245', 'vggt_cos_loss': '0.01481', 'pidinet_loss': '0.2196', 'siglip_loss': '0.702', 'epoch': '0.299'} + 92%|█████████████████████████████▌ | 8312/9000 [7:15:05<38:10, 3.33s/it][Dataset] cur_step=8313 phase=D_mixed_covt + 92%|█████████████████████████████▌ | 8313/9000 [7:15:06<36:33, 3.19s/it][Dataset] cur_step=8313 phase=D_mixed_covt +[Dataset] cur_step=8313 phase=D_mixed_covt +[Dataset] cur_step=8313 phase=D_mixed_covt +[Dataset] cur_step=8313 phase=D_mixed_covt +[Dataset] cur_step=8313 phase=D_mixed_covt +[Dataset] cur_step=8313 phase=D_mixed_covt +[Dataset] cur_step=8313 phase=D_mixed_covt + {'loss': '3.045', 'grad_norm': '1.813', 'learning_rate': '7.923e-07', 'epoch': '0.2991'} + 92%|█████████████████████████████▌ | 8313/9000 [7:15:06<36:33, 3.19s/it] {'lm_loss': '0.8754', 'visual_loss': '2.592', 'seg_loss': '0.6876', 'dino_loss': '0.8949', 'depth_loss': '0.2469', 'vggt_mse_loss': '0.245', 'vggt_cos_loss': '0.01961', 'pidinet_loss': '0.2526', 'siglip_loss': '0.5102', 'epoch': '0.2991'} + 92%|█████████████████████████████▌ | 8313/9000 [7:15:12<36:33, 3.19s/it][Dataset] cur_step=8314 phase=D_mixed_covt + 92%|█████████████████████████████▌ | 8314/9000 [7:15:12<46:57, 4.11s/it][Dataset] cur_step=8314 phase=D_mixed_covt +[Dataset] cur_step=8314 phase=D_mixed_covt +[Dataset] cur_step=8314 phase=D_mixed_covt +[Dataset] cur_step=8314 phase=D_mixed_covt +[Dataset] cur_step=8314 phase=D_mixed_covt +[Dataset] cur_step=8314 phase=D_mixed_covt +[Dataset] cur_step=8314 phase=D_mixed_covt + {'loss': '3.175', 'grad_norm': '12.21', 'learning_rate': '7.9e-07', 'epoch': '0.2991'} + 92%|█████████████████████████████▌ | 8314/9000 [7:15:12<46:57, 4.11s/it] {'lm_loss': '0.7061', 'visual_loss': '2.734', 'seg_loss': '0.8387', 'dino_loss': '0.9119', 'depth_loss': '0.2435', 'vggt_mse_loss': '0.242', 'vggt_cos_loss': '0.01482', 'pidinet_loss': '0.196', 'siglip_loss': '0.544', 'epoch': '0.2991'} + 92%|█████████████████████████████▌ | 8314/9000 [7:15:14<46:57, 4.11s/it][Dataset] cur_step=8315 phase=D_mixed_covt +[Dataset] cur_step=8315 phase=D_mixed_covt +[Dataset] cur_step=8315 phase=D_mixed_covt[Dataset] cur_step=8315 phase=D_mixed_covt + +[Dataset] cur_step=8315 phase=D_mixed_covt[Dataset] cur_step=8315 phase=D_mixed_covt + +[Dataset] cur_step=8315 phase=D_mixed_covt 92%|█████████████████████████████▌ | 8315/9000 [7:15:15<41:43, 3.65s/it] +[Dataset] cur_step=8315 phase=D_mixed_covt + {'loss': '3.403', 'grad_norm': '3.461', 'learning_rate': '7.877e-07', 'epoch': '0.2991'} + 92%|█████████████████████████████▌ | 8315/9000 [7:15:15<41:43, 3.65s/it] {'lm_loss': '0.4222', 'visual_loss': '2.705', 'seg_loss': '0.7748', 'dino_loss': '0.8987', 'depth_loss': '0.1924', 'vggt_mse_loss': '0.1911', 'vggt_cos_loss': '0.01256', 'pidinet_loss': '0.2407', 'siglip_loss': '0.5979', 'epoch': '0.2991'} + 92%|█████████████████████████████▌ | 8315/9000 [7:15:17<41:43, 3.65s/it][Dataset] cur_step=8316 phase=D_mixed_covt +[Dataset] cur_step=8316 phase=D_mixed_covt + 92%|█████████████████████████████▌ | 8316/9000 [7:15:17<37:53, 3.32s/it][Dataset] cur_step=8316 phase=D_mixed_covt +[Dataset] cur_step=8316 phase=D_mixed_covt +[Dataset] cur_step=8316 phase=D_mixed_covt +[Dataset] cur_step=8316 phase=D_mixed_covt +[Dataset] cur_step=8316 phase=D_mixed_covt[Dataset] cur_step=8316 phase=D_mixed_covt + + {'loss': '3.112', 'grad_norm': '2.051', 'learning_rate': '7.854e-07', 'epoch': '0.2992'} + 92%|█████████████████████████████▌ | 8316/9000 [7:15:17<37:53, 3.32s/it] {'lm_loss': '0.6126', 'visual_loss': '2.054', 'seg_loss': '0.6982', 'dino_loss': '0.9224', 'depth_loss': '0.2198', 'vggt_mse_loss': '0.2184', 'vggt_cos_loss': '0.01418', 'pidinet_loss': '0.2135', 'siglip_loss': '0', 'epoch': '0.2992'} + 92%|█████████████████████████████▌ | 8316/9000 [7:15:19<37:53, 3.32s/it][Dataset] cur_step=8317 phase=D_mixed_covt +[Dataset] cur_step=8317 phase=D_mixed_covt +[Dataset] cur_step=8317 phase=D_mixed_covt +[Dataset] cur_step=8317 phase=D_mixed_covt +[Dataset] cur_step=8317 phase=D_mixed_covt[Dataset] cur_step=8317 phase=D_mixed_covt + + 92%|█████████████████████████████▌ | 8317/9000 [7:15:20<34:41, 3.05s/it][Dataset] cur_step=8317 phase=D_mixed_covt +[Dataset] cur_step=8317 phase=D_mixed_covt + {'loss': '2.828', 'grad_norm': '5.724', 'learning_rate': '7.831e-07', 'epoch': '0.2992'} + 92%|█████████████████████████████▌ | 8317/9000 [7:15:20<34:41, 3.05s/it] {'lm_loss': '0.703', 'visual_loss': '2.78', 'seg_loss': '0.8306', 'dino_loss': '0.9153', 'depth_loss': '0.3206', 'vggt_mse_loss': '0.3186', 'vggt_cos_loss': '0.02025', 'pidinet_loss': '0.2334', 'siglip_loss': '0.4797', 'epoch': '0.2992'} + 92%|█████████████████████████████▌ | 8317/9000 [7:15:22<34:41, 3.05s/it][Dataset] cur_step=8318 phase=D_mixed_covt +[Dataset] cur_step=8318 phase=D_mixed_covt +[Dataset] cur_step=8318 phase=D_mixed_covt +[Dataset] cur_step=8318 phase=D_mixed_covt +[Dataset] cur_step=8318 phase=D_mixed_covt + 92%|█████████████████████████████▌ | 8318/9000 [7:15:22<33:11, 2.92s/it][Dataset] cur_step=8318 phase=D_mixed_covt[Dataset] cur_step=8318 phase=D_mixed_covt + +[Dataset] cur_step=8318 phase=D_mixed_covt + {'loss': '3.236', 'grad_norm': '4.142', 'learning_rate': '7.809e-07', 'epoch': '0.2992'} + 92%|█████████████████████████████▌ | 8318/9000 [7:15:22<33:11, 2.92s/it] {'lm_loss': '0.6031', 'visual_loss': '2.128', 'seg_loss': '0.6533', 'dino_loss': '0.926', 'depth_loss': '0.2884', 'vggt_mse_loss': '0.2871', 'vggt_cos_loss': '0.01252', 'pidinet_loss': '0.2606', 'siglip_loss': '0', 'epoch': '0.2992'} + 92%|█████████████████████████████▌ | 8318/9000 [7:15:24<33:11, 2.92s/it][Dataset] cur_step=8319 phase=D_mixed_covt +[Dataset] cur_step=8319 phase=D_mixed_covt +[Dataset] cur_step=8319 phase=D_mixed_covt[Dataset] cur_step=8319 phase=D_mixed_covt 92%|█████████████████████████████▌ | 8319/9000 [7:15:25<32:27, 2.86s/it] + +[Dataset] cur_step=8319 phase=D_mixed_covt +[Dataset] cur_step=8319 phase=D_mixed_covt +[Dataset] cur_step=8319 phase=D_mixed_covt +[Dataset] cur_step=8319 phase=D_mixed_covt + {'loss': '3.063', 'grad_norm': '5.757', 'learning_rate': '7.786e-07', 'epoch': '0.2993'} + 92%|█████████████████████████████▌ | 8319/9000 [7:15:25<32:27, 2.86s/it] {'lm_loss': '0.07427', 'visual_loss': '2.401', 'seg_loss': '0.6957', 'dino_loss': '0.9084', 'depth_loss': '0.2252', 'vggt_mse_loss': '0.2237', 'vggt_cos_loss': '0.01511', 'pidinet_loss': '0.2189', 'siglip_loss': '0.3533', 'epoch': '0.2993'} + 92%|█████████████████████████████▌ | 8319/9000 [7:15:27<32:27, 2.86s/it][Dataset] cur_step=8320 phase=D_mixed_covt +[Dataset] cur_step=8320 phase=D_mixed_covt[Dataset] cur_step=8320 phase=D_mixed_covt + +[Dataset] cur_step=8320 phase=D_mixed_covt + 92%|█████████████████████████████▌ | 8320/9000 [7:15:28<31:58, 2.82s/it][Dataset] cur_step=8320 phase=D_mixed_covt[Dataset] cur_step=8320 phase=D_mixed_covt +[Dataset] cur_step=8320 phase=D_mixed_covt + +[Dataset] cur_step=8320 phase=D_mixed_covt + {'loss': '3.213', 'grad_norm': '46', 'learning_rate': '7.763e-07', 'epoch': '0.2993'} + 92%|█████████████████████████████▌ | 8320/9000 [7:15:28<31:58, 2.82s/it] {'lm_loss': '0.471', 'visual_loss': '2.784', 'seg_loss': '0.8462', 'dino_loss': '0.9124', 'depth_loss': '0.2803', 'vggt_mse_loss': '0.278', 'vggt_cos_loss': '0.02349', 'pidinet_loss': '0.2523', 'siglip_loss': '0.4931', 'epoch': '0.2993'} + 92%|█████████████████████████████▌ | 8320/9000 [7:15:30<31:58, 2.82s/it][Dataset] cur_step=8321 phase=D_mixed_covt +[Dataset] cur_step=8321 phase=D_mixed_covt 92%|█████████████████████████████▌ | 8321/9000 [7:15:31<32:27, 2.87s/it][Dataset] cur_step=8321 phase=D_mixed_covt + +[Dataset] cur_step=8321 phase=D_mixed_covt +[Dataset] cur_step=8321 phase=D_mixed_covt[Dataset] cur_step=8321 phase=D_mixed_covt + +[Dataset] cur_step=8321 phase=D_mixed_covt +[Dataset] cur_step=8321 phase=D_mixed_covt + {'loss': '3.221', 'grad_norm': '4.003', 'learning_rate': '7.74e-07', 'epoch': '0.2993'} + 92%|█████████████████████████████▌ | 8321/9000 [7:15:31<32:27, 2.87s/it] {'lm_loss': '0.903', 'visual_loss': '1.967', 'seg_loss': '0', 'dino_loss': '0.9368', 'depth_loss': '0.2993', 'vggt_mse_loss': '0.297', 'vggt_cos_loss': '0.02302', 'pidinet_loss': '0.3293', 'siglip_loss': '0.4015', 'epoch': '0.2993'} + 92%|█████████████████████████████▌ | 8321/9000 [7:15:32<32:27, 2.87s/it][Dataset] cur_step=8322 phase=D_mixed_covt +[Dataset] cur_step=8322 phase=D_mixed_covt +[Dataset] cur_step=8322 phase=D_mixed_covt[Dataset] cur_step=8322 phase=D_mixed_covt + + 92%|█████████████████████████████▌ | 8322/9000 [7:15:32<26:40, 2.36s/it][Dataset] cur_step=8322 phase=D_mixed_covt +[Dataset] cur_step=8322 phase=D_mixed_covt +[Dataset] cur_step=8322 phase=D_mixed_covt +[Dataset] cur_step=8322 phase=D_mixed_covt + {'loss': '2.812', 'grad_norm': '5.46', 'learning_rate': '7.718e-07', 'epoch': '0.2994'} + 92%|█████████████████████████████▌ | 8322/9000 [7:15:32<26:40, 2.36s/it] {'lm_loss': '0.3272', 'visual_loss': '2.533', 'seg_loss': '0.6745', 'dino_loss': '0.8883', 'depth_loss': '0.2909', 'vggt_mse_loss': '0.2881', 'vggt_cos_loss': '0.02796', 'pidinet_loss': '0.2198', 'siglip_loss': '0.4599', 'epoch': '0.2994'} + 92%|█████████████████████████████▌ | 8322/9000 [7:15:33<26:40, 2.36s/it][Dataset] cur_step=8323 phase=D_mixed_covt +[Dataset] cur_step=8323 phase=D_mixed_covt +[Dataset] cur_step=8323 phase=D_mixed_covt[Dataset] cur_step=8323 phase=D_mixed_covt + +[Dataset] cur_step=8323 phase=D_mixed_covt +[Dataset] cur_step=8323 phase=D_mixed_covt +[Dataset] cur_step=8323 phase=D_mixed_covt +[Dataset] cur_step=8323 phase=D_mixed_covt + 92%|█████████████████████████████▌ | 8323/9000 [7:15:34<24:59, 2.22s/it] {'loss': '3', 'grad_norm': '3.053', 'learning_rate': '7.695e-07', 'epoch': '0.2994'} + 92%|█████████████████████████████▌ | 8323/9000 [7:15:34<24:59, 2.22s/it] {'lm_loss': '0.9766', 'visual_loss': '2.915', 'seg_loss': '0.7936', 'dino_loss': '0.9038', 'depth_loss': '0.2093', 'vggt_mse_loss': '0.2081', 'vggt_cos_loss': '0.01289', 'pidinet_loss': '0.2827', 'siglip_loss': '0.7258', 'epoch': '0.2994'} + 92%|█████████████████████████████▌ | 8323/9000 [7:15:36<24:59, 2.22s/it][Dataset] cur_step=8324 phase=D_mixed_covt[Dataset] cur_step=8324 phase=D_mixed_covt + +[Dataset] cur_step=8324 phase=D_mixed_covt[Dataset] cur_step=8324 phase=D_mixed_covt + +[Dataset] cur_step=8324 phase=D_mixed_covt +[Dataset] cur_step=8324 phase=D_mixed_covt[Dataset] cur_step=8324 phase=D_mixed_covt + + 92%|█████████████████████████████▌ | 8324/9000 [7:15:37<28:33, 2.53s/it][Dataset] cur_step=8324 phase=D_mixed_covt + {'loss': '3.342', 'grad_norm': '2.984', 'learning_rate': '7.673e-07', 'epoch': '0.2995'} + 92%|█████████████████████████████▌ | 8324/9000 [7:15:37<28:33, 2.53s/it] {'lm_loss': '1.064', 'visual_loss': '2.465', 'seg_loss': '0.7216', 'dino_loss': '0.92', 'depth_loss': '0.1468', 'vggt_mse_loss': '0.1459', 'vggt_cos_loss': '0.00869', 'pidinet_loss': '0.3048', 'siglip_loss': '0.3719', 'epoch': '0.2995'} + 92%|█████████████████████████████▌ | 8324/9000 [7:15:39<28:33, 2.53s/it][Dataset] cur_step=8325 phase=D_mixed_covt[Dataset] cur_step=8325 phase=D_mixed_covt + +[Dataset] cur_step=8325 phase=D_mixed_covt 92%|█████████████████████████████▌ | 8325/9000 [7:15:40<29:06, 2.59s/it] +[Dataset] cur_step=8325 phase=D_mixed_covt +[Dataset] cur_step=8325 phase=D_mixed_covt +[Dataset] cur_step=8325 phase=D_mixed_covt +[Dataset] cur_step=8325 phase=D_mixed_covt +[Dataset] cur_step=8325 phase=D_mixed_covt + {'loss': '3.148', 'grad_norm': '3.603', 'learning_rate': '7.65e-07', 'epoch': '0.2995'} + 92%|█████████████████████████████▌ | 8325/9000 [7:15:40<29:06, 2.59s/it] {'lm_loss': '0.7546', 'visual_loss': '2.614', 'seg_loss': '0.7485', 'dino_loss': '0.8925', 'depth_loss': '0.2462', 'vggt_mse_loss': '0.2446', 'vggt_cos_loss': '0.01611', 'pidinet_loss': '0.2904', 'siglip_loss': '0.4367', 'epoch': '0.2995'} + 92%|█████████████████████████████▌ | 8325/9000 [7:15:42<29:06, 2.59s/it][Dataset] cur_step=8326 phase=D_mixed_covt +[Dataset] cur_step=8326 phase=D_mixed_covt[Dataset] cur_step=8326 phase=D_mixed_covt + + 93%|█████████████████████████████▌ | 8326/9000 [7:15:42<28:46, 2.56s/it][Dataset] cur_step=8326 phase=D_mixed_covt +[Dataset] cur_step=8326 phase=D_mixed_covt +[Dataset] cur_step=8326 phase=D_mixed_covt +[Dataset] cur_step=8326 phase=D_mixed_covt +[Dataset] cur_step=8326 phase=D_mixed_covt + {'loss': '3.27', 'grad_norm': '2.981', 'learning_rate': '7.627e-07', 'epoch': '0.2995'} + 93%|█████████████████████████████▌ | 8326/9000 [7:15:42<28:46, 2.56s/it] {'lm_loss': '0.5469', 'visual_loss': '1.424', 'seg_loss': '0.6413', 'dino_loss': '0', 'depth_loss': '0.2099', 'vggt_mse_loss': '0.2083', 'vggt_cos_loss': '0.01632', 'pidinet_loss': '0', 'siglip_loss': '0.5728', 'epoch': '0.2995'} + 93%|█████████████████████████████▌ | 8326/9000 [7:15:44<28:46, 2.56s/it][Dataset] cur_step=8327 phase=D_mixed_covt[Dataset] cur_step=8327 phase=D_mixed_covt + +[Dataset] cur_step=8327 phase=D_mixed_covt[Dataset] cur_step=8327 phase=D_mixed_covt + + 93%|█████████████████████████████▌ | 8327/9000 [7:15:44<25:54, 2.31s/it][Dataset] cur_step=8327 phase=D_mixed_covt +[Dataset] cur_step=8327 phase=D_mixed_covt +[Dataset] cur_step=8327 phase=D_mixed_covt +[Dataset] cur_step=8327 phase=D_mixed_covt + {'loss': '2.391', 'grad_norm': '5.213', 'learning_rate': '7.605e-07', 'epoch': '0.2996'} + 93%|█████████████████████████████▌ | 8327/9000 [7:15:44<25:54, 2.31s/it] {'lm_loss': '0.6286', 'visual_loss': '3.158', 'seg_loss': '0.8489', 'dino_loss': '0.9429', 'depth_loss': '0.2921', 'vggt_mse_loss': '0.2897', 'vggt_cos_loss': '0.02394', 'pidinet_loss': '0.2455', 'siglip_loss': '0.8285', 'epoch': '0.2996'} + 93%|█████████████████████████████▌ | 8327/9000 [7:15:47<25:54, 2.31s/it][Dataset] cur_step=8328 phase=D_mixed_covt +[Dataset] cur_step=8328 phase=D_mixed_covt[Dataset] cur_step=8328 phase=D_mixed_covt + +[Dataset] cur_step=8328 phase=D_mixed_covt +[Dataset] cur_step=8328 phase=D_mixed_covt[Dataset] cur_step=8328 phase=D_mixed_covt + +[Dataset] cur_step=8328 phase=D_mixed_covt + 93%|█████████████████████████████▌ | 8328/9000 [7:15:48<29:41, 2.65s/it][Dataset] cur_step=8328 phase=D_mixed_covt + {'loss': '3.231', 'grad_norm': '2.735', 'learning_rate': '7.582e-07', 'epoch': '0.2996'} + 93%|█████████████████████████████▌ | 8328/9000 [7:15:48<29:41, 2.65s/it] {'lm_loss': '0.7138', 'visual_loss': '2.782', 'seg_loss': '0.7445', 'dino_loss': '0.9012', 'depth_loss': '0.2274', 'vggt_mse_loss': '0.226', 'vggt_cos_loss': '0.01476', 'pidinet_loss': '0.2726', 'siglip_loss': '0.6366', 'epoch': '0.2996'} + 93%|█████████████████████████████▌ | 8328/9000 [7:15:50<29:41, 2.65s/it][Dataset] cur_step=8329 phase=D_mixed_covt +[Dataset] cur_step=8329 phase=D_mixed_covt +[Dataset] cur_step=8329 phase=D_mixed_covt[Dataset] cur_step=8329 phase=D_mixed_covt + +[Dataset] cur_step=8329 phase=D_mixed_covt + 93%|█████████████████████████████▌ | 8329/9000 [7:15:51<31:54, 2.85s/it][Dataset] cur_step=8329 phase=D_mixed_covt +[Dataset] cur_step=8329 phase=D_mixed_covt +[Dataset] cur_step=8329 phase=D_mixed_covt + {'loss': '3.159', 'grad_norm': '1.957', 'learning_rate': '7.56e-07', 'epoch': '0.2996'} + 93%|█████████████████████████████▌ | 8329/9000 [7:15:51<31:54, 2.85s/it] {'lm_loss': '1.227', 'visual_loss': '2.16', 'seg_loss': '0.4593', 'dino_loss': '0.9175', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.3085', 'siglip_loss': '0.4743', 'epoch': '0.2996'} + 93%|█████████████████████████████▌ | 8329/9000 [7:15:52<31:54, 2.85s/it][Dataset] cur_step=8330 phase=D_mixed_covt +[Dataset] cur_step=8330 phase=D_mixed_covt[Dataset] cur_step=8330 phase=D_mixed_covt + +[Dataset] cur_step=8330 phase=D_mixed_covt +[Dataset] cur_step=8330 phase=D_mixed_covt[Dataset] cur_step=8330 phase=D_mixed_covt + +[Dataset] cur_step=8330 phase=D_mixed_covt +[Dataset] cur_step=8330 phase=D_mixed_covt + 93%|█████████████████████████████▌ | 8330/9000 [7:15:53<28:14, 2.53s/it] {'loss': '2.923', 'grad_norm': '3.775', 'learning_rate': '7.538e-07', 'epoch': '0.2997'} + 93%|█████████████████████████████▌ | 8330/9000 [7:15:53<28:14, 2.53s/it] {'lm_loss': '1.279', 'visual_loss': '2.319', 'seg_loss': '0.6283', 'dino_loss': '0.9091', 'depth_loss': '0.1608', 'vggt_mse_loss': '0.16', 'vggt_cos_loss': '0.008307', 'pidinet_loss': '0.217', 'siglip_loss': '0.4035', 'epoch': '0.2997'} + 93%|█████████████████████████████▌ | 8330/9000 [7:15:55<28:14, 2.53s/it][Dataset] cur_step=8331 phase=D_mixed_covt[Dataset] cur_step=8331 phase=D_mixed_covt + + 93%|█████████████████████████████▌ | 8331/9000 [7:15:56<30:57, 2.78s/it][Dataset] cur_step=8331 phase=D_mixed_covt +[Dataset] cur_step=8331 phase=D_mixed_covt[Dataset] cur_step=8331 phase=D_mixed_covt + +[Dataset] cur_step=8331 phase=D_mixed_covt +[Dataset] cur_step=8331 phase=D_mixed_covt +[Dataset] cur_step=8331 phase=D_mixed_covt + {'loss': '3.227', 'grad_norm': '2.521', 'learning_rate': '7.515e-07', 'epoch': '0.2997'} + 93%|█████████████████████████████▌ | 8331/9000 [7:15:56<30:57, 2.78s/it] {'lm_loss': '0.7775', 'visual_loss': '1.738', 'seg_loss': '0', 'dino_loss': '0.8479', 'depth_loss': '0.1873', 'vggt_mse_loss': '0.186', 'vggt_cos_loss': '0.01275', 'pidinet_loss': '0.2773', 'siglip_loss': '0.4252', 'epoch': '0.2997'} + 93%|█████████████████████████████▌ | 8331/9000 [7:15:57<30:57, 2.78s/it][Dataset] cur_step=8332 phase=D_mixed_covt +[Dataset] cur_step=8332 phase=D_mixed_covt[Dataset] cur_step=8332 phase=D_mixed_covt +[Dataset] cur_step=8332 phase=D_mixed_covt + + 93%|█████████████████████████████▌ | 8332/9000 [7:15:57<25:18, 2.27s/it][Dataset] cur_step=8332 phase=D_mixed_covt[Dataset] cur_step=8332 phase=D_mixed_covt +[Dataset] cur_step=8332 phase=D_mixed_covt + +[Dataset] cur_step=8332 phase=D_mixed_covt + {'loss': '2.852', 'grad_norm': '2.348', 'learning_rate': '7.493e-07', 'epoch': '0.2997'} + 93%|█████████████████████████████▌ | 8332/9000 [7:15:57<25:18, 2.27s/it] {'lm_loss': '1.068', 'visual_loss': '3.027', 'seg_loss': '0.751', 'dino_loss': '0.9283', 'depth_loss': '0.3107', 'vggt_mse_loss': '0.3088', 'vggt_cos_loss': '0.01938', 'pidinet_loss': '0.273', 'siglip_loss': '0.764', 'epoch': '0.2997'} + 93%|█████████████████████████████▌ | 8332/9000 [7:16:00<25:18, 2.27s/it][Dataset] cur_step=8333 phase=D_mixed_covt +[Dataset] cur_step=8333 phase=D_mixed_covt +[Dataset] cur_step=8333 phase=D_mixed_covt +[Dataset] cur_step=8333 phase=D_mixed_covt +[Dataset] cur_step=8333 phase=D_mixed_covt +[Dataset] cur_step=8333 phase=D_mixed_covt +[Dataset] cur_step=8333 phase=D_mixed_covt[Dataset] cur_step=8333 phase=D_mixed_covt + + 93%|█████████████████████████████▋ | 8333/9000 [7:16:00<28:05, 2.53s/it] {'loss': '3.297', 'grad_norm': '2.047', 'learning_rate': '7.471e-07', 'epoch': '0.2998'} + 93%|█████████████████████████████▋ | 8333/9000 [7:16:00<28:05, 2.53s/it] {'lm_loss': '0.49', 'visual_loss': '2.767', 'seg_loss': '0.7186', 'dino_loss': '0.9007', 'depth_loss': '0.2511', 'vggt_mse_loss': '0.2493', 'vggt_cos_loss': '0.01782', 'pidinet_loss': '0.2066', 'siglip_loss': '0.6899', 'epoch': '0.2998'} + 93%|█████████████████████████████▋ | 8333/9000 [7:16:02<28:05, 2.53s/it][Dataset] cur_step=8334 phase=D_mixed_covt +[Dataset] cur_step=8334 phase=D_mixed_covt[Dataset] cur_step=8334 phase=D_mixed_covt + +[Dataset] cur_step=8334 phase=D_mixed_covt +[Dataset] cur_step=8334 phase=D_mixed_covt + 93%|█████████████████████████████▋ | 8334/9000 [7:16:03<29:36, 2.67s/it][Dataset] cur_step=8334 phase=D_mixed_covt +[Dataset] cur_step=8334 phase=D_mixed_covt +[Dataset] cur_step=8334 phase=D_mixed_covt + {'loss': '3.195', 'grad_norm': '3.285', 'learning_rate': '7.448e-07', 'epoch': '0.2998'} + 93%|█████████████████████████████▋ | 8334/9000 [7:16:03<29:36, 2.67s/it] {'lm_loss': '1.096', 'visual_loss': '2.534', 'seg_loss': '0.6457', 'dino_loss': '0.9165', 'depth_loss': '0.2217', 'vggt_mse_loss': '0.2203', 'vggt_cos_loss': '0.01367', 'pidinet_loss': '0.337', 'siglip_loss': '0.4126', 'epoch': '0.2998'} + 93%|█████████████████████████████▋ | 8334/9000 [7:16:05<29:36, 2.67s/it][Dataset] cur_step=8335 phase=D_mixed_covt +[Dataset] cur_step=8335 phase=D_mixed_covt +[Dataset] cur_step=8335 phase=D_mixed_covt +[Dataset] cur_step=8335 phase=D_mixed_covt[Dataset] cur_step=8335 phase=D_mixed_covt +[Dataset] cur_step=8335 phase=D_mixed_covt + + 93%|█████████████████████████████▋ | 8335/9000 [7:16:05<27:32, 2.49s/it][Dataset] cur_step=8335 phase=D_mixed_covt +[Dataset] cur_step=8335 phase=D_mixed_covt + {'loss': '3.541', 'grad_norm': '3.29', 'learning_rate': '7.426e-07', 'epoch': '0.2999'} + 93%|█████████████████████████████▋ | 8335/9000 [7:16:05<27:32, 2.49s/it] {'lm_loss': '0.5078', 'visual_loss': '2.924', 'seg_loss': '0.8773', 'dino_loss': '0.8962', 'depth_loss': '0.1668', 'vggt_mse_loss': '0.1657', 'vggt_cos_loss': '0.01086', 'pidinet_loss': '0.2352', 'siglip_loss': '0.748', 'epoch': '0.2999'} + 93%|█████████████████████████████▋ | 8335/9000 [7:16:07<27:32, 2.49s/it][Dataset] cur_step=8336 phase=D_mixed_covt +[Dataset] cur_step=8336 phase=D_mixed_covt + 93%|█████████████████████████████▋ | 8336/9000 [7:16:08<28:09, 2.54s/it][Dataset] cur_step=8336 phase=D_mixed_covt +[Dataset] cur_step=8336 phase=D_mixed_covt +[Dataset] cur_step=8336 phase=D_mixed_covt +[Dataset] cur_step=8336 phase=D_mixed_covt[Dataset] cur_step=8336 phase=D_mixed_covt + +[Dataset] cur_step=8336 phase=D_mixed_covt + {'loss': '3.14', 'grad_norm': '3.143', 'learning_rate': '7.404e-07', 'epoch': '0.2999'} + 93%|█████████████████████████████▋ | 8336/9000 [7:16:08<28:09, 2.54s/it] {'lm_loss': '1.185', 'visual_loss': '3.011', 'seg_loss': '0.6732', 'dino_loss': '0.9672', 'depth_loss': '0.1668', 'vggt_mse_loss': '0.1656', 'vggt_cos_loss': '0.01153', 'pidinet_loss': '0.3268', 'siglip_loss': '0.8769', 'epoch': '0.2999'} + 93%|█████████████████████████████▋ | 8336/9000 [7:16:10<28:09, 2.54s/it][Dataset] cur_step=8337 phase=D_mixed_covt[Dataset] cur_step=8337 phase=D_mixed_covt + +[Dataset] cur_step=8337 phase=D_mixed_covt +[Dataset] cur_step=8337 phase=D_mixed_covt +[Dataset] cur_step=8337 phase=D_mixed_covt + 93%|█████████████████████████████▋ | 8337/9000 [7:16:11<28:13, 2.55s/it][Dataset] cur_step=8337 phase=D_mixed_covt +[Dataset] cur_step=8337 phase=D_mixed_covt +[Dataset] cur_step=8337 phase=D_mixed_covt + {'loss': '3.513', 'grad_norm': '4.316', 'learning_rate': '7.382e-07', 'epoch': '0.2999'} + 93%|█████████████████████████████▋ | 8337/9000 [7:16:11<28:13, 2.55s/it] {'lm_loss': '0.8154', 'visual_loss': '2.691', 'seg_loss': '0.7131', 'dino_loss': '0.9123', 'depth_loss': '0.2295', 'vggt_mse_loss': '0.2279', 'vggt_cos_loss': '0.01613', 'pidinet_loss': '0.2311', 'siglip_loss': '0.605', 'epoch': '0.2999'} + 93%|█████████████████████████████▋ | 8337/9000 [7:16:13<28:13, 2.55s/it][Dataset] cur_step=8338 phase=D_mixed_covt[Dataset] cur_step=8338 phase=D_mixed_covt + +[Dataset] cur_step=8338 phase=D_mixed_covt[Dataset] cur_step=8338 phase=D_mixed_covt + +[Dataset] cur_step=8338 phase=D_mixed_covt 93%|█████████████████████████████▋ | 8338/9000 [7:16:14<29:57, 2.72s/it] +[Dataset] cur_step=8338 phase=D_mixed_covt +[Dataset] cur_step=8338 phase=D_mixed_covt +[Dataset] cur_step=8338 phase=D_mixed_covt + {'loss': '3.444', 'grad_norm': '2.17', 'learning_rate': '7.36e-07', 'epoch': '0.3'} + 93%|█████████████████████████████▋ | 8338/9000 [7:16:14<29:57, 2.72s/it] {'lm_loss': '0.786', 'visual_loss': '2.637', 'seg_loss': '0.7884', 'dino_loss': '0.871', 'depth_loss': '0.2349', 'vggt_mse_loss': '0.2333', 'vggt_cos_loss': '0.01559', 'pidinet_loss': '0.2339', 'siglip_loss': '0.509', 'epoch': '0.3'} + 93%|█████████████████████████████▋ | 8338/9000 [7:16:16<29:57, 2.72s/it][Dataset] cur_step=8339 phase=D_mixed_covt +[Dataset] cur_step=8339 phase=D_mixed_covt[Dataset] cur_step=8339 phase=D_mixed_covt + +[Dataset] cur_step=8339 phase=D_mixed_covt 93%|█████████████████████████████▋ | 8339/9000 [7:16:17<32:32, 2.95s/it] +[Dataset] cur_step=8339 phase=D_mixed_covt[Dataset] cur_step=8339 phase=D_mixed_covt + +[Dataset] cur_step=8339 phase=D_mixed_covt +[Dataset] cur_step=8339 phase=D_mixed_covt + {'loss': '3.028', 'grad_norm': '3.188', 'learning_rate': '7.337e-07', 'epoch': '0.3'} + 93%|█████████████████████████████▋ | 8339/9000 [7:16:17<32:32, 2.95s/it] {'lm_loss': '0.9235', 'visual_loss': '2.491', 'seg_loss': '0.6822', 'dino_loss': '0.9141', 'depth_loss': '0.2825', 'vggt_mse_loss': '0.2803', 'vggt_cos_loss': '0.02206', 'pidinet_loss': '0.1463', 'siglip_loss': '0.466', 'epoch': '0.3'} + 93%|█████████████████████████████▋ | 8339/9000 [7:16:20<32:32, 2.95s/it][Dataset] cur_step=8340 phase=D_mixed_covt +[Dataset] cur_step=8340 phase=D_mixed_covt +[Dataset] cur_step=8340 phase=D_mixed_covt +[Dataset] cur_step=8340 phase=D_mixed_covt +[Dataset] cur_step=8340 phase=D_mixed_covt +[Dataset] cur_step=8340 phase=D_mixed_covt 93%|█████████████████████████████▋ | 8340/9000 [7:16:20<33:45, 3.07s/it] +[Dataset] cur_step=8340 phase=D_mixed_covt +[Dataset] cur_step=8340 phase=D_mixed_covt + {'loss': '3.413', 'grad_norm': '1.922', 'learning_rate': '7.315e-07', 'epoch': '0.3'} + 93%|█████████████████████████████▋ | 8340/9000 [7:16:20<33:45, 3.07s/it] {'lm_loss': '0.8056', 'visual_loss': '2.803', 'seg_loss': '0.658', 'dino_loss': '0.8941', 'depth_loss': '0.4244', 'vggt_mse_loss': '0.4217', 'vggt_cos_loss': '0.02665', 'pidinet_loss': '0.221', 'siglip_loss': '0.6055', 'epoch': '0.3'} + 93%|█████████████████████████████▋ | 8340/9000 [7:16:22<33:45, 3.07s/it][Dataset] cur_step=8341 phase=D_mixed_covt +[Dataset] cur_step=8341 phase=D_mixed_covt +[Dataset] cur_step=8341 phase=D_mixed_covt +[Dataset] cur_step=8341 phase=D_mixed_covt + 93%|█████████████████████████████▋ | 8341/9000 [7:16:23<31:38, 2.88s/it][Dataset] cur_step=8341 phase=D_mixed_covt +[Dataset] cur_step=8341 phase=D_mixed_covt +[Dataset] cur_step=8341 phase=D_mixed_covt +[Dataset] cur_step=8341 phase=D_mixed_covt + {'loss': '3.091', 'grad_norm': '2.223', 'learning_rate': '7.293e-07', 'epoch': '0.3001'} + 93%|█████████████████████████████▋ | 8341/9000 [7:16:23<31:38, 2.88s/it] {'lm_loss': '0.8587', 'visual_loss': '2.788', 'seg_loss': '0.8783', 'dino_loss': '0.9261', 'depth_loss': '0.2676', 'vggt_mse_loss': '0.2664', 'vggt_cos_loss': '0.01242', 'pidinet_loss': '0.1854', 'siglip_loss': '0.5303', 'epoch': '0.3001'} + 93%|█████████████████████████████▋ | 8341/9000 [7:16:25<31:38, 2.88s/it][Dataset] cur_step=8342 phase=D_mixed_covt +[Dataset] cur_step=8342 phase=D_mixed_covt +[Dataset] cur_step=8342 phase=D_mixed_covt[Dataset] cur_step=8342 phase=D_mixed_covt +[Dataset] cur_step=8342 phase=D_mixed_covt + +[Dataset] cur_step=8342 phase=D_mixed_covt +[Dataset] cur_step=8342 phase=D_mixed_covt 93%|█████████████████████████████▋ | 8342/9000 [7:16:25<30:04, 2.74s/it] +[Dataset] cur_step=8342 phase=D_mixed_covt + {'loss': '3.404', 'grad_norm': '8.247', 'learning_rate': '7.271e-07', 'epoch': '0.3001'} + 93%|█████████████████████████████▋ | 8342/9000 [7:16:25<30:04, 2.74s/it] {'lm_loss': '0.7656', 'visual_loss': '2.562', 'seg_loss': '0.6859', 'dino_loss': '0.9577', 'depth_loss': '0.2847', 'vggt_mse_loss': '0.2826', 'vggt_cos_loss': '0.02065', 'pidinet_loss': '0', 'siglip_loss': '0.6333', 'epoch': '0.3001'} + 93%|█████████████████████████████▋ | 8342/9000 [7:16:27<30:04, 2.74s/it][Dataset] cur_step=8343 phase=D_mixed_covt +[Dataset] cur_step=8343 phase=D_mixed_covt[Dataset] cur_step=8343 phase=D_mixed_covt[Dataset] cur_step=8343 phase=D_mixed_covt + + +[Dataset] cur_step=8343 phase=D_mixed_covt +[Dataset] cur_step=8343 phase=D_mixed_covt +[Dataset] cur_step=8343 phase=D_mixed_covt +[Dataset] cur_step=8343 phase=D_mixed_covt + 93%|█████████████████████████████▋ | 8343/9000 [7:16:28<29:30, 2.70s/it] {'loss': '3.133', 'grad_norm': '8.228', 'learning_rate': '7.249e-07', 'epoch': '0.3001'} + 93%|█████████████████████████████▋ | 8343/9000 [7:16:28<29:30, 2.70s/it] {'lm_loss': '0.08547', 'visual_loss': '2.319', 'seg_loss': '0.6269', 'dino_loss': '0.8796', 'depth_loss': '0.435', 'vggt_mse_loss': '0.4312', 'vggt_cos_loss': '0.03752', 'pidinet_loss': '0.1556', 'siglip_loss': '0.2219', 'epoch': '0.3001'} + 93%|█████████████████████████████▋ | 8343/9000 [7:16:31<29:30, 2.70s/it][Dataset] cur_step=8344 phase=D_mixed_covt +[Dataset] cur_step=8344 phase=D_mixed_covt +[Dataset] cur_step=8344 phase=D_mixed_covt +[Dataset] cur_step=8344 phase=D_mixed_covt 93%|█████████████████████████████▋ | 8344/9000 [7:16:31<31:03, 2.84s/it] +[Dataset] cur_step=8344 phase=D_mixed_covt +[Dataset] cur_step=8344 phase=D_mixed_covt +[Dataset] cur_step=8344 phase=D_mixed_covt +[Dataset] cur_step=8344 phase=D_mixed_covt + {'loss': '3.157', 'grad_norm': '3.684', 'learning_rate': '7.227e-07', 'epoch': '0.3002'} + 93%|█████████████████████████████▋ | 8344/9000 [7:16:31<31:03, 2.84s/it] {'lm_loss': '0.5418', 'visual_loss': '2.862', 'seg_loss': '0.7938', 'dino_loss': '0.9102', 'depth_loss': '0.2503', 'vggt_mse_loss': '0.2485', 'vggt_cos_loss': '0.01793', 'pidinet_loss': '0.3119', 'siglip_loss': '0.5959', 'epoch': '0.3002'} + 93%|█████████████████████████████▋ | 8344/9000 [7:16:32<31:03, 2.84s/it][Dataset] cur_step=8345 phase=D_mixed_covt +[Dataset] cur_step=8345 phase=D_mixed_covt[Dataset] cur_step=8345 phase=D_mixed_covt +[Dataset] cur_step=8345 phase=D_mixed_covt +[Dataset] cur_step=8345 phase=D_mixed_covt + +[Dataset] cur_step=8345 phase=D_mixed_covt +[Dataset] cur_step=8345 phase=D_mixed_covt + 93%|█████████████████████████████▋ | 8345/9000 [7:16:33<28:20, 2.60s/it][Dataset] cur_step=8345 phase=D_mixed_covt + {'loss': '3.136', 'grad_norm': '3.185', 'learning_rate': '7.205e-07', 'epoch': '0.3002'} + 93%|█████████████████████████████▋ | 8345/9000 [7:16:33<28:20, 2.60s/it] {'lm_loss': '0.5706', 'visual_loss': '2.783', 'seg_loss': '0.942', 'dino_loss': '0.9162', 'depth_loss': '0.2402', 'vggt_mse_loss': '0.2382', 'vggt_cos_loss': '0.01991', 'pidinet_loss': '0.287', 'siglip_loss': '0.3979', 'epoch': '0.3002'} + 93%|█████████████████████████████▋ | 8345/9000 [7:16:35<28:20, 2.60s/it][Dataset] cur_step=8346 phase=D_mixed_covt +[Dataset] cur_step=8346 phase=D_mixed_covt +[Dataset] cur_step=8346 phase=D_mixed_covt +[Dataset] cur_step=8346 phase=D_mixed_covt +[Dataset] cur_step=8346 phase=D_mixed_covt[Dataset] cur_step=8346 phase=D_mixed_covt + +[Dataset] cur_step=8346 phase=D_mixed_covt + 93%|█████████████████████████████▋ | 8346/9000 [7:16:36<28:27, 2.61s/it][Dataset] cur_step=8346 phase=D_mixed_covt + {'loss': '3.427', 'grad_norm': '4.541', 'learning_rate': '7.184e-07', 'epoch': '0.3002'} + 93%|█████████████████████████████▋ | 8346/9000 [7:16:36<28:27, 2.61s/it] {'lm_loss': '1.029', 'visual_loss': '1.413', 'seg_loss': '0', 'dino_loss': '0.9036', 'depth_loss': '0.2736', 'vggt_mse_loss': '0.2708', 'vggt_cos_loss': '0.0282', 'pidinet_loss': '0.2361', 'siglip_loss': '0', 'epoch': '0.3002'} + 93%|█████████████████████████████▋ | 8346/9000 [7:16:37<28:27, 2.61s/it][Dataset] cur_step=8347 phase=D_mixed_covt +[Dataset] cur_step=8347 phase=D_mixed_covt +[Dataset] cur_step=8347 phase=D_mixed_covt +[Dataset] cur_step=8347 phase=D_mixed_covt[Dataset] cur_step=8347 phase=D_mixed_covt + +[Dataset] cur_step=8347 phase=D_mixed_covt +[Dataset] cur_step=8347 phase=D_mixed_covt + 93%|█████████████████████████████▋ | 8347/9000 [7:16:37<23:55, 2.20s/it][Dataset] cur_step=8347 phase=D_mixed_covt + {'loss': '1.901', 'grad_norm': '4.979', 'learning_rate': '7.162e-07', 'epoch': '0.3003'} + 93%|█████████████████████████████▋ | 8347/9000 [7:16:37<23:55, 2.20s/it] {'lm_loss': '0.8218', 'visual_loss': '2.567', 'seg_loss': '0.6726', 'dino_loss': '0.8882', 'depth_loss': '0.227', 'vggt_mse_loss': '0.2251', 'vggt_cos_loss': '0.01949', 'pidinet_loss': '0.1924', 'siglip_loss': '0.5868', 'epoch': '0.3003'} + 93%|█████████████████████████████▋ | 8347/9000 [7:16:40<23:55, 2.20s/it][Dataset] cur_step=8348 phase=D_mixed_covt +[Dataset] cur_step=8348 phase=D_mixed_covt + 93%|█████████████████████████████▋ | 8348/9000 [7:16:40<27:11, 2.50s/it][Dataset] cur_step=8348 phase=D_mixed_covt[Dataset] cur_step=8348 phase=D_mixed_covt[Dataset] cur_step=8348 phase=D_mixed_covt + + +[Dataset] cur_step=8348 phase=D_mixed_covt +[Dataset] cur_step=8348 phase=D_mixed_covt +[Dataset] cur_step=8348 phase=D_mixed_covt + {'loss': '3.352', 'grad_norm': '2.469', 'learning_rate': '7.14e-07', 'epoch': '0.3003'} + 93%|█████████████████████████████▋ | 8348/9000 [7:16:40<27:11, 2.50s/it] {'lm_loss': '0.4969', 'visual_loss': '2.034', 'seg_loss': '0.5683', 'dino_loss': '0.8387', 'depth_loss': '0.1879', 'vggt_mse_loss': '0.1868', 'vggt_cos_loss': '0.01122', 'pidinet_loss': '0.03796', 'siglip_loss': '0.401', 'epoch': '0.3003'} + 93%|█████████████████████████████▋ | 8348/9000 [7:16:43<27:11, 2.50s/it][Dataset] cur_step=8349 phase=D_mixed_covt +[Dataset] cur_step=8349 phase=D_mixed_covt +[Dataset] cur_step=8349 phase=D_mixed_covt[Dataset] cur_step=8349 phase=D_mixed_covt + +[Dataset] cur_step=8349 phase=D_mixed_covt +[Dataset] cur_step=8349 phase=D_mixed_covt +[Dataset] cur_step=8349 phase=D_mixed_covt[Dataset] cur_step=8349 phase=D_mixed_covt + + 93%|█████████████████████████████▋ | 8349/9000 [7:16:44<30:35, 2.82s/it] {'loss': '3.321', 'grad_norm': '3.299', 'learning_rate': '7.118e-07', 'epoch': '0.3004'} + 93%|█████████████████████████████▋ | 8349/9000 [7:16:44<30:35, 2.82s/it] {'lm_loss': '0.8326', 'visual_loss': '2.541', 'seg_loss': '0.7704', 'dino_loss': '0.8439', 'depth_loss': '0.1051', 'vggt_mse_loss': '0.1045', 'vggt_cos_loss': '0.006317', 'pidinet_loss': '0.2346', 'siglip_loss': '0.5868', 'epoch': '0.3004'} + 93%|█████████████████████████████▋ | 8349/9000 [7:16:45<30:35, 2.82s/it][Dataset] cur_step=8350 phase=D_mixed_covt +[Dataset] cur_step=8350 phase=D_mixed_covt[Dataset] cur_step=8350 phase=D_mixed_covt + + 93%|█████████████████████████████▋ | 8350/9000 [7:16:45<26:59, 2.49s/it][Dataset] cur_step=8350 phase=D_mixed_covt[Dataset] cur_step=8350 phase=D_mixed_covt +[Dataset] cur_step=8350 phase=D_mixed_covt + +[Dataset] cur_step=8350 phase=D_mixed_covt +[Dataset] cur_step=8350 phase=D_mixed_covt + {'loss': '3.072', 'grad_norm': '4.29', 'learning_rate': '7.096e-07', 'epoch': '0.3004'} + 93%|█████████████████████████████▋ | 8350/9000 [7:16:45<26:59, 2.49s/it] {'lm_loss': '0.08335', 'visual_loss': '2.856', 'seg_loss': '0.8917', 'dino_loss': '0.9248', 'depth_loss': '0.2361', 'vggt_mse_loss': '0.2346', 'vggt_cos_loss': '0.01485', 'pidinet_loss': '0.2306', 'siglip_loss': '0.5726', 'epoch': '0.3004'} + 93%|█████████████████████████████▋ | 8350/9000 [7:16:47<26:59, 2.49s/it][Dataset] cur_step=8351 phase=D_mixed_covt[Dataset] cur_step=8351 phase=D_mixed_covt + +[Dataset] cur_step=8351 phase=D_mixed_covt +[Dataset] cur_step=8351 phase=D_mixed_covt +[Dataset] cur_step=8351 phase=D_mixed_covt +[Dataset] cur_step=8351 phase=D_mixed_covt +[Dataset] cur_step=8351 phase=D_mixed_covt +[Dataset] cur_step=8351 phase=D_mixed_covt + 93%|█████████████████████████████▋ | 8351/9000 [7:16:48<27:53, 2.58s/it] {'loss': '3.298', 'grad_norm': '4.489', 'learning_rate': '7.075e-07', 'epoch': '0.3004'} + 93%|█████████████████████████████▋ | 8351/9000 [7:16:48<27:53, 2.58s/it] {'lm_loss': '0.9474', 'visual_loss': '2.973', 'seg_loss': '0.8348', 'dino_loss': '0.9257', 'depth_loss': '0.2049', 'vggt_mse_loss': '0.2036', 'vggt_cos_loss': '0.01319', 'pidinet_loss': '0.2209', 'siglip_loss': '0.7872', 'epoch': '0.3004'} + 93%|█████████████████████████████▋ | 8351/9000 [7:16:51<27:53, 2.58s/it][Dataset] cur_step=8352 phase=D_mixed_covt[Dataset] cur_step=8352 phase=D_mixed_covt[Dataset] cur_step=8352 phase=D_mixed_covt + +[Dataset] cur_step=8352 phase=D_mixed_covt[Dataset] cur_step=8352 phase=D_mixed_covt + + +[Dataset] cur_step=8352 phase=D_mixed_covt +[Dataset] cur_step=8352 phase=D_mixed_covt + 93%|█████████████████████████████▋ | 8352/9000 [7:16:52<32:25, 3.00s/it][Dataset] cur_step=8352 phase=D_mixed_covt + {'loss': '3.256', 'grad_norm': '1.774', 'learning_rate': '7.053e-07', 'epoch': '0.3005'} + 93%|█████████████████████████████▋ | 8352/9000 [7:16:52<32:25, 3.00s/it] {'lm_loss': '0.3892', 'visual_loss': '2.063', 'seg_loss': '0.589', 'dino_loss': '0.9037', 'depth_loss': '0.1878', 'vggt_mse_loss': '0.1867', 'vggt_cos_loss': '0.01043', 'pidinet_loss': '0.259', 'siglip_loss': '0.1236', 'epoch': '0.3005'} + 93%|█████████████████████████████▋ | 8352/9000 [7:16:56<32:25, 3.00s/it][Dataset] cur_step=8353 phase=D_mixed_covt +[Dataset] cur_step=8353 phase=D_mixed_covt[Dataset] cur_step=8353 phase=D_mixed_covt + + 93%|█████████████████████████████▋ | 8353/9000 [7:16:56<34:47, 3.23s/it][Dataset] cur_step=8353 phase=D_mixed_covt[Dataset] cur_step=8353 phase=D_mixed_covt +[Dataset] cur_step=8353 phase=D_mixed_covt + +[Dataset] cur_step=8353 phase=D_mixed_covt[Dataset] cur_step=8353 phase=D_mixed_covt + + {'loss': '3.139', 'grad_norm': '2.758', 'learning_rate': '7.031e-07', 'epoch': '0.3005'} + 93%|█████████████████████████████▋ | 8353/9000 [7:16:56<34:47, 3.23s/it] {'lm_loss': '0.8902', 'visual_loss': '2.481', 'seg_loss': '0.5729', 'dino_loss': '0.9559', 'depth_loss': '0.2268', 'vggt_mse_loss': '0.2251', 'vggt_cos_loss': '0.01685', 'pidinet_loss': '0.2055', 'siglip_loss': '0.5197', 'epoch': '0.3005'} + 93%|█████████████████████████████▋ | 8353/9000 [7:16:58<34:47, 3.23s/it][Dataset] cur_step=8354 phase=D_mixed_covt +[Dataset] cur_step=8354 phase=D_mixed_covt +[Dataset] cur_step=8354 phase=D_mixed_covt + 93%|█████████████████████████████▋ | 8354/9000 [7:16:58<32:04, 2.98s/it][Dataset] cur_step=8354 phase=D_mixed_covt +[Dataset] cur_step=8354 phase=D_mixed_covt +[Dataset] cur_step=8354 phase=D_mixed_covt +[Dataset] cur_step=8354 phase=D_mixed_covt +[Dataset] cur_step=8354 phase=D_mixed_covt + {'loss': '3.459', 'grad_norm': '3.605', 'learning_rate': '7.01e-07', 'epoch': '0.3005'} + 93%|█████████████████████████████▋ | 8354/9000 [7:16:58<32:04, 2.98s/it] {'lm_loss': '0.5485', 'visual_loss': '1.85', 'seg_loss': '0.4518', 'dino_loss': '0.8316', 'depth_loss': '0.2039', 'vggt_mse_loss': '0.2027', 'vggt_cos_loss': '0.01238', 'pidinet_loss': '0.1003', 'siglip_loss': '0.2626', 'epoch': '0.3005'} + 93%|█████████████████████████████▋ | 8354/9000 [7:17:00<32:04, 2.98s/it][Dataset] cur_step=8355 phase=D_mixed_covt +[Dataset] cur_step=8355 phase=D_mixed_covt[Dataset] cur_step=8355 phase=D_mixed_covt +[Dataset] cur_step=8355 phase=D_mixed_covt + +[Dataset] cur_step=8355 phase=D_mixed_covt[Dataset] cur_step=8355 phase=D_mixed_covt + + 93%|█████████████████████████████▋ | 8355/9000 [7:17:00<28:32, 2.65s/it][Dataset] cur_step=8355 phase=D_mixed_covt +[Dataset] cur_step=8355 phase=D_mixed_covt + {'loss': '3.275', 'grad_norm': '3.008', 'learning_rate': '6.988e-07', 'epoch': '0.3006'} + 93%|█████████████████████████████▋ | 8355/9000 [7:17:00<28:32, 2.65s/it] {'lm_loss': '1.062', 'visual_loss': '2.049', 'seg_loss': '0.5207', 'dino_loss': '0.8283', 'depth_loss': '0.1635', 'vggt_mse_loss': '0.163', 'vggt_cos_loss': '0.005212', 'pidinet_loss': '0', 'siglip_loss': '0.5367', 'epoch': '0.3006'} + 93%|█████████████████████████████▋ | 8355/9000 [7:17:02<28:32, 2.65s/it][Dataset] cur_step=8356 phase=D_mixed_covt[Dataset] cur_step=8356 phase=D_mixed_covt + +[Dataset] cur_step=8356 phase=D_mixed_covt +[Dataset] cur_step=8356 phase=D_mixed_covt + 93%|█████████████████████████████▋ | 8356/9000 [7:17:02<25:38, 2.39s/it][Dataset] cur_step=8356 phase=D_mixed_covt[Dataset] cur_step=8356 phase=D_mixed_covt +[Dataset] cur_step=8356 phase=D_mixed_covt + +[Dataset] cur_step=8356 phase=D_mixed_covt + {'loss': '3.094', 'grad_norm': '3.479', 'learning_rate': '6.967e-07', 'epoch': '0.3006'} + 93%|█████████████████████████████▋ | 8356/9000 [7:17:02<25:38, 2.39s/it] {'lm_loss': '0.4064', 'visual_loss': '1.757', 'seg_loss': '0.6516', 'dino_loss': '0', 'depth_loss': '0.2065', 'vggt_mse_loss': '0.2049', 'vggt_cos_loss': '0.01612', 'pidinet_loss': '0.2871', 'siglip_loss': '0.6119', 'epoch': '0.3006'} + 93%|█████████████████████████████▋ | 8356/9000 [7:17:05<25:38, 2.39s/it][Dataset] cur_step=8357 phase=D_mixed_covt[Dataset] cur_step=8357 phase=D_mixed_covt + +[Dataset] cur_step=8357 phase=D_mixed_covt +[Dataset] cur_step=8357 phase=D_mixed_covt + 93%|█████████████████████████████▋ | 8357/9000 [7:17:05<27:53, 2.60s/it][Dataset] cur_step=8357 phase=D_mixed_covt +[Dataset] cur_step=8357 phase=D_mixed_covt +[Dataset] cur_step=8357 phase=D_mixed_covt +[Dataset] cur_step=8357 phase=D_mixed_covt + {'loss': '2.416', 'grad_norm': '3.921', 'learning_rate': '6.945e-07', 'epoch': '0.3006'} + 93%|█████████████████████████████▋ | 8357/9000 [7:17:05<27:53, 2.60s/it] {'lm_loss': '0.09746', 'visual_loss': '2.826', 'seg_loss': '0.6951', 'dino_loss': '0.8612', 'depth_loss': '0.2125', 'vggt_mse_loss': '0.2105', 'vggt_cos_loss': '0.01974', 'pidinet_loss': '0.1634', 'siglip_loss': '0.8934', 'epoch': '0.3006'} + 93%|█████████████████████████████▋ | 8357/9000 [7:17:08<27:53, 2.60s/it][Dataset] cur_step=8358 phase=D_mixed_covt +[Dataset] cur_step=8358 phase=D_mixed_covt +[Dataset] cur_step=8358 phase=D_mixed_covt +[Dataset] cur_step=8358 phase=D_mixed_covt + 93%|█████████████████████████████▋ | 8358/9000 [7:17:08<29:42, 2.78s/it][Dataset] cur_step=8358 phase=D_mixed_covt +[Dataset] cur_step=8358 phase=D_mixed_covt +[Dataset] cur_step=8358 phase=D_mixed_covt[Dataset] cur_step=8358 phase=D_mixed_covt + + {'loss': '3.187', 'grad_norm': '2.138', 'learning_rate': '6.924e-07', 'epoch': '0.3007'} + 93%|█████████████████████████████▋ | 8358/9000 [7:17:08<29:42, 2.78s/it] {'lm_loss': '0.9591', 'visual_loss': '2.881', 'seg_loss': '0.7301', 'dino_loss': '0.9206', 'depth_loss': '0.5606', 'vggt_mse_loss': '0.5576', 'vggt_cos_loss': '0.02974', 'pidinet_loss': '0.167', 'siglip_loss': '0.5024', 'epoch': '0.3007'} + 93%|█████████████████████████████▋ | 8358/9000 [7:17:10<29:42, 2.78s/it][Dataset] cur_step=8359 phase=D_mixed_covt +[Dataset] cur_step=8359 phase=D_mixed_covt[Dataset] cur_step=8359 phase=D_mixed_covt + +[Dataset] cur_step=8359 phase=D_mixed_covt[Dataset] cur_step=8359 phase=D_mixed_covt + +[Dataset] cur_step=8359 phase=D_mixed_covt + 93%|█████████████████████████████▋ | 8359/9000 [7:17:11<29:30, 2.76s/it][Dataset] cur_step=8359 phase=D_mixed_covt +[Dataset] cur_step=8359 phase=D_mixed_covt + {'loss': '3.572', 'grad_norm': '4.027', 'learning_rate': '6.902e-07', 'epoch': '0.3007'} + 93%|█████████████████████████████▋ | 8359/9000 [7:17:11<29:30, 2.76s/it] {'lm_loss': '0.7574', 'visual_loss': '0.9147', 'seg_loss': '0', 'dino_loss': '0.8408', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.07388', 'siglip_loss': '0', 'epoch': '0.3007'} + 93%|█████████████████████████████▋ | 8359/9000 [7:17:12<29:30, 2.76s/it][Dataset] cur_step=8360 phase=D_mixed_covt +[Dataset] cur_step=8360 phase=D_mixed_covt +[Dataset] cur_step=8360 phase=D_mixed_covt[Dataset] cur_step=8360 phase=D_mixed_covt + + 93%|█████████████████████████████▋ | 8360/9000 [7:17:12<23:26, 2.20s/it][Dataset] cur_step=8360 phase=D_mixed_covt[Dataset] cur_step=8360 phase=D_mixed_covt + +[Dataset] cur_step=8360 phase=D_mixed_covt +[Dataset] cur_step=8360 phase=D_mixed_covt + {'loss': '1.977', 'grad_norm': '2.986', 'learning_rate': '6.881e-07', 'epoch': '0.3008'} + 93%|█████████████████████████████▋ | 8360/9000 [7:17:12<23:26, 2.20s/it] {'lm_loss': '0.8197', 'visual_loss': '2.746', 'seg_loss': '0.7599', 'dino_loss': '0.9246', 'depth_loss': '0.2168', 'vggt_mse_loss': '0.2155', 'vggt_cos_loss': '0.01284', 'pidinet_loss': '0.2274', 'siglip_loss': '0.6174', 'epoch': '0.3008'} + 93%|█████████████████████████████▋ | 8360/9000 [7:17:15<23:26, 2.20s/it][Dataset] cur_step=8361 phase=D_mixed_covt +[Dataset] cur_step=8361 phase=D_mixed_covt +[Dataset] cur_step=8361 phase=D_mixed_covt[Dataset] cur_step=8361 phase=D_mixed_covt + +[Dataset] cur_step=8361 phase=D_mixed_covt + 93%|█████████████████████████████▋ | 8361/9000 [7:17:16<28:18, 2.66s/it][Dataset] cur_step=8361 phase=D_mixed_covt[Dataset] cur_step=8361 phase=D_mixed_covt + +[Dataset] cur_step=8361 phase=D_mixed_covt + {'loss': '3.105', 'grad_norm': '2.679', 'learning_rate': '6.859e-07', 'epoch': '0.3008'} + 93%|█████████████████████████████▋ | 8361/9000 [7:17:16<28:18, 2.66s/it] {'lm_loss': '0.6776', 'visual_loss': '4.61', 'seg_loss': '0.7442', 'dino_loss': '0.9334', 'depth_loss': '2.237', 'vggt_mse_loss': '2.217', 'vggt_cos_loss': '0.2072', 'pidinet_loss': '0.2543', 'siglip_loss': '0.4404', 'epoch': '0.3008'} + 93%|█████████████████████████████▋ | 8361/9000 [7:17:17<28:18, 2.66s/it][Dataset] cur_step=8362 phase=D_mixed_covt +[Dataset] cur_step=8362 phase=D_mixed_covt[Dataset] cur_step=8362 phase=D_mixed_covt + +[Dataset] cur_step=8362 phase=D_mixed_covt[Dataset] cur_step=8362 phase=D_mixed_covt +[Dataset] cur_step=8362 phase=D_mixed_covt + +[Dataset] cur_step=8362 phase=D_mixed_covt + 93%|█████████████████████████████▋ | 8362/9000 [7:17:18<26:37, 2.50s/it][Dataset] cur_step=8362 phase=D_mixed_covt + {'loss': '3.525', 'grad_norm': '5.496', 'learning_rate': '6.838e-07', 'epoch': '0.3008'} + 93%|█████████████████████████████▋ | 8362/9000 [7:17:18<26:37, 2.50s/it] {'lm_loss': '1.001', 'visual_loss': '2.795', 'seg_loss': '0.4655', 'dino_loss': '0.9124', 'depth_loss': '0.2691', 'vggt_mse_loss': '0.2671', 'vggt_cos_loss': '0.0195', 'pidinet_loss': '0.3065', 'siglip_loss': '0.8419', 'epoch': '0.3008'} + 93%|█████████████████████████████▋ | 8362/9000 [7:17:20<26:37, 2.50s/it][Dataset] cur_step=8363 phase=D_mixed_covt +[Dataset] cur_step=8363 phase=D_mixed_covt[Dataset] cur_step=8363 phase=D_mixed_covt + +[Dataset] cur_step=8363 phase=D_mixed_covt +[Dataset] cur_step=8363 phase=D_mixed_covt +[Dataset] cur_step=8363 phase=D_mixed_covt 93%|█████████████████████████████▋ | 8363/9000 [7:17:21<27:20, 2.58s/it] +[Dataset] cur_step=8363 phase=D_mixed_covt +[Dataset] cur_step=8363 phase=D_mixed_covt + {'loss': '3.57', 'grad_norm': '4.619', 'learning_rate': '6.817e-07', 'epoch': '0.3009'} + 93%|█████████████████████████████▋ | 8363/9000 [7:17:21<27:20, 2.58s/it] {'lm_loss': '0.4693', 'visual_loss': '1.657', 'seg_loss': '0.9308', 'dino_loss': '0', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.1819', 'siglip_loss': '0.5448', 'epoch': '0.3009'} + 93%|█████████████████████████████▋ | 8363/9000 [7:17:22<27:20, 2.58s/it][Dataset] cur_step=8364 phase=D_mixed_covt +[Dataset] cur_step=8364 phase=D_mixed_covt[Dataset] cur_step=8364 phase=D_mixed_covt + +[Dataset] cur_step=8364 phase=D_mixed_covt +[Dataset] cur_step=8364 phase=D_mixed_covt[Dataset] cur_step=8364 phase=D_mixed_covt + + 93%|█████████████████████████████▋ | 8364/9000 [7:17:24<31:27, 2.97s/it][Dataset] cur_step=8364 phase=D_mixed_covt +[Dataset] cur_step=8364 phase=D_mixed_covt + {'loss': '2.285', 'grad_norm': '4.796', 'learning_rate': '6.795e-07', 'epoch': '0.3009'} + 93%|█████████████████████████████▋ | 8364/9000 [7:17:24<31:27, 2.97s/it] {'lm_loss': '1.259', 'visual_loss': '2.898', 'seg_loss': '0.7638', 'dino_loss': '0.9346', 'depth_loss': '0.207', 'vggt_mse_loss': '0.205', 'vggt_cos_loss': '0.01972', 'pidinet_loss': '0.2852', 'siglip_loss': '0.7074', 'epoch': '0.3009'} + 93%|█████████████████████████████▋ | 8364/9000 [7:17:27<31:27, 2.97s/it][Dataset] cur_step=8365 phase=D_mixed_covt +[Dataset] cur_step=8365 phase=D_mixed_covt[Dataset] cur_step=8365 phase=D_mixed_covt + +[Dataset] cur_step=8365 phase=D_mixed_covt +[Dataset] cur_step=8365 phase=D_mixed_covt +[Dataset] cur_step=8365 phase=D_mixed_covt[Dataset] cur_step=8365 phase=D_mixed_covt[Dataset] cur_step=8365 phase=D_mixed_covt + + + 93%|█████████████████████████████▋ | 8365/9000 [7:17:28<32:38, 3.08s/it] {'loss': '3.192', 'grad_norm': '1.944', 'learning_rate': '6.774e-07', 'epoch': '0.3009'} + 93%|█████████████████████████████▋ | 8365/9000 [7:17:28<32:38, 3.08s/it] {'lm_loss': '0.8581', 'visual_loss': '2.63', 'seg_loss': '0.7145', 'dino_loss': '0.9251', 'depth_loss': '0.2315', 'vggt_mse_loss': '0.2297', 'vggt_cos_loss': '0.01819', 'pidinet_loss': '0.2811', 'siglip_loss': '0.4773', 'epoch': '0.3009'} + 93%|█████████████████████████████▋ | 8365/9000 [7:17:30<32:38, 3.08s/it][Dataset] cur_step=8366 phase=D_mixed_covt +[Dataset] cur_step=8366 phase=D_mixed_covt +[Dataset] cur_step=8366 phase=D_mixed_covt[Dataset] cur_step=8366 phase=D_mixed_covt[Dataset] cur_step=8366 phase=D_mixed_covt + + +[Dataset] cur_step=8366 phase=D_mixed_covt + 93%|█████████████████████████████▋ | 8366/9000 [7:17:31<32:27, 3.07s/it][Dataset] cur_step=8366 phase=D_mixed_covt +[Dataset] cur_step=8366 phase=D_mixed_covt + {'loss': '3.347', 'grad_norm': '4.166', 'learning_rate': '6.753e-07', 'epoch': '0.301'} + 93%|█████████████████████████████▋ | 8366/9000 [7:17:31<32:27, 3.07s/it] {'lm_loss': '0.1035', 'visual_loss': '2.704', 'seg_loss': '0.7913', 'dino_loss': '0.8754', 'depth_loss': '0.2024', 'vggt_mse_loss': '0.2014', 'vggt_cos_loss': '0.01035', 'pidinet_loss': '0.2115', 'siglip_loss': '0.6235', 'epoch': '0.301'} + 93%|█████████████████████████████▋ | 8366/9000 [7:17:32<32:27, 3.07s/it][Dataset] cur_step=8367 phase=D_mixed_covt[Dataset] cur_step=8367 phase=D_mixed_covt + +[Dataset] cur_step=8367 phase=D_mixed_covt[Dataset] cur_step=8367 phase=D_mixed_covt + + 93%|█████████████████████████████▋ | 8367/9000 [7:17:33<30:00, 2.84s/it][Dataset] cur_step=8367 phase=D_mixed_covt +[Dataset] cur_step=8367 phase=D_mixed_covt +[Dataset] cur_step=8367 phase=D_mixed_covt +[Dataset] cur_step=8367 phase=D_mixed_covt + {'loss': '3.03', 'grad_norm': '2.587', 'learning_rate': '6.732e-07', 'epoch': '0.301'} + 93%|█████████████████████████████▋ | 8367/9000 [7:17:33<30:00, 2.84s/it] {'lm_loss': '0.6431', 'visual_loss': '2.771', 'seg_loss': '0.7994', 'dino_loss': '0.9207', 'depth_loss': '0.2446', 'vggt_mse_loss': '0.243', 'vggt_cos_loss': '0.01525', 'pidinet_loss': '0.2356', 'siglip_loss': '0.5711', 'epoch': '0.301'} + 93%|█████████████████████████████▋ | 8367/9000 [7:17:35<30:00, 2.84s/it][Dataset] cur_step=8368 phase=D_mixed_covt +[Dataset] cur_step=8368 phase=D_mixed_covt +[Dataset] cur_step=8368 phase=D_mixed_covt +[Dataset] cur_step=8368 phase=D_mixed_covt +[Dataset] cur_step=8368 phase=D_mixed_covt +[Dataset] cur_step=8368 phase=D_mixed_covt[Dataset] cur_step=8368 phase=D_mixed_covt + + 93%|█████████████████████████████▊ | 8368/9000 [7:17:36<29:05, 2.76s/it][Dataset] cur_step=8368 phase=D_mixed_covt + {'loss': '3.227', 'grad_norm': '4.458', 'learning_rate': '6.711e-07', 'epoch': '0.301'} + 93%|█████████████████████████████▊ | 8368/9000 [7:17:36<29:05, 2.76s/it] {'lm_loss': '0.7897', 'visual_loss': '2.81', 'seg_loss': '0.8971', 'dino_loss': '0.9091', 'depth_loss': '0.1716', 'vggt_mse_loss': '0.1703', 'vggt_cos_loss': '0.01249', 'pidinet_loss': '0.2132', 'siglip_loss': '0.6189', 'epoch': '0.301'} + 93%|█████████████████████████████▊ | 8368/9000 [7:17:38<29:05, 2.76s/it][Dataset] cur_step=8369 phase=D_mixed_covt +[Dataset] cur_step=8369 phase=D_mixed_covt +[Dataset] cur_step=8369 phase=D_mixed_covt +[Dataset] cur_step=8369 phase=D_mixed_covt + 93%|█████████████████████████████▊ | 8369/9000 [7:17:39<30:01, 2.86s/it][Dataset] cur_step=8369 phase=D_mixed_covt[Dataset] cur_step=8369 phase=D_mixed_covt + +[Dataset] cur_step=8369 phase=D_mixed_covt +[Dataset] cur_step=8369 phase=D_mixed_covt + {'loss': '3.33', 'grad_norm': '2.19', 'learning_rate': '6.689e-07', 'epoch': '0.3011'} + 93%|█████████████████████████████▊ | 8369/9000 [7:17:39<30:01, 2.86s/it] {'lm_loss': '0.5755', 'visual_loss': '2.497', 'seg_loss': '0.6723', 'dino_loss': '0.9226', 'depth_loss': '0.2113', 'vggt_mse_loss': '0.2097', 'vggt_cos_loss': '0.0156', 'pidinet_loss': '0.2421', 'siglip_loss': '0.4489', 'epoch': '0.3011'} + 93%|█████████████████████████████▊ | 8369/9000 [7:17:42<30:01, 2.86s/it][Dataset] cur_step=8370 phase=D_mixed_covt +[Dataset] cur_step=8370 phase=D_mixed_covt +[Dataset] cur_step=8370 phase=D_mixed_covt +[Dataset] cur_step=8370 phase=D_mixed_covt + 93%|█████████████████████████████▊ | 8370/9000 [7:17:42<31:10, 2.97s/it][Dataset] cur_step=8370 phase=D_mixed_covt +[Dataset] cur_step=8370 phase=D_mixed_covt +[Dataset] cur_step=8370 phase=D_mixed_covt +[Dataset] cur_step=8370 phase=D_mixed_covt + {'loss': '3.203', 'grad_norm': '5.754', 'learning_rate': '6.668e-07', 'epoch': '0.3011'} + 93%|█████████████████████████████▊ | 8370/9000 [7:17:42<31:10, 2.97s/it] {'lm_loss': '0.8175', 'visual_loss': '2.846', 'seg_loss': '0.6918', 'dino_loss': '0.9034', 'depth_loss': '0.1805', 'vggt_mse_loss': '0.1795', 'vggt_cos_loss': '0.009853', 'pidinet_loss': '0.2011', 'siglip_loss': '0.8691', 'epoch': '0.3011'} + 93%|█████████████████████████████▊ | 8370/9000 [7:17:43<31:10, 2.97s/it][Dataset] cur_step=8371 phase=D_mixed_covt +[Dataset] cur_step=8371 phase=D_mixed_covt[Dataset] cur_step=8371 phase=D_mixed_covt +[Dataset] cur_step=8371 phase=D_mixed_covt + +[Dataset] cur_step=8371 phase=D_mixed_covt[Dataset] cur_step=8371 phase=D_mixed_covt + +[Dataset] cur_step=8371 phase=D_mixed_covt[Dataset] cur_step=8371 phase=D_mixed_covt + + 93%|█████████████████████████████▊ | 8371/9000 [7:17:44<28:19, 2.70s/it] {'loss': '3.331', 'grad_norm': '3.77', 'learning_rate': '6.647e-07', 'epoch': '0.3011'} + 93%|█████████████████████████████▊ | 8371/9000 [7:17:44<28:19, 2.70s/it] {'lm_loss': '0.6398', 'visual_loss': '2.437', 'seg_loss': '0.7019', 'dino_loss': '0.9296', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2476', 'siglip_loss': '0.5577', 'epoch': '0.3011'} + 93%|█████████████████████████████▊ | 8371/9000 [7:17:46<28:19, 2.70s/it][Dataset] cur_step=8372 phase=D_mixed_covt[Dataset] cur_step=8372 phase=D_mixed_covt + +[Dataset] cur_step=8372 phase=D_mixed_covt + 93%|█████████████████████████████▊ | 8372/9000 [7:17:47<27:17, 2.61s/it][Dataset] cur_step=8372 phase=D_mixed_covt +[Dataset] cur_step=8372 phase=D_mixed_covt +[Dataset] cur_step=8372 phase=D_mixed_covt +[Dataset] cur_step=8372 phase=D_mixed_covt +[Dataset] cur_step=8372 phase=D_mixed_covt + {'loss': '3.169', 'grad_norm': '2.626', 'learning_rate': '6.626e-07', 'epoch': '0.3012'} + 93%|█████████████████████████████▊ | 8372/9000 [7:17:47<27:17, 2.61s/it] {'lm_loss': '0.05267', 'visual_loss': '2.76', 'seg_loss': '0.7577', 'dino_loss': '0.9375', 'depth_loss': '0.3383', 'vggt_mse_loss': '0.3358', 'vggt_cos_loss': '0.02534', 'pidinet_loss': '0.2278', 'siglip_loss': '0.4988', 'epoch': '0.3012'} + 93%|█████████████████████████████▊ | 8372/9000 [7:17:49<27:17, 2.61s/it][Dataset] cur_step=8373 phase=D_mixed_covt +[Dataset] cur_step=8373 phase=D_mixed_covt +[Dataset] cur_step=8373 phase=D_mixed_covt +[Dataset] cur_step=8373 phase=D_mixed_covt +[Dataset] cur_step=8373 phase=D_mixed_covt +[Dataset] cur_step=8373 phase=D_mixed_covt[Dataset] cur_step=8373 phase=D_mixed_covt + + 93%|█████████████████████████████▊ | 8373/9000 [7:17:50<28:49, 2.76s/it][Dataset] cur_step=8373 phase=D_mixed_covt + {'loss': '3.183', 'grad_norm': '2.885', 'learning_rate': '6.605e-07', 'epoch': '0.3012'} + 93%|█████████████████████████████▊ | 8373/9000 [7:17:50<28:49, 2.76s/it] {'lm_loss': '0.08672', 'visual_loss': '2.872', 'seg_loss': '0.7806', 'dino_loss': '0.9448', 'depth_loss': '0.3418', 'vggt_mse_loss': '0.339', 'vggt_cos_loss': '0.02827', 'pidinet_loss': '0.2086', 'siglip_loss': '0.5965', 'epoch': '0.3012'} + 93%|█████████████████████████████▊ | 8373/9000 [7:17:52<28:49, 2.76s/it][Dataset] cur_step=8374 phase=D_mixed_covt +[Dataset] cur_step=8374 phase=D_mixed_covt +[Dataset] cur_step=8374 phase=D_mixed_covt +[Dataset] cur_step=8374 phase=D_mixed_covt +[Dataset] cur_step=8374 phase=D_mixed_covt + 93%|█████████████████████████████▊ | 8374/9000 [7:17:54<35:22, 3.39s/it][Dataset] cur_step=8374 phase=D_mixed_covt +[Dataset] cur_step=8374 phase=D_mixed_covt +[Dataset] cur_step=8374 phase=D_mixed_covt + {'loss': '3.61', 'grad_norm': '3.587', 'learning_rate': '6.584e-07', 'epoch': '0.3013'} + 93%|█████████████████████████████▊ | 8374/9000 [7:17:54<35:22, 3.39s/it] {'lm_loss': '0.7684', 'visual_loss': '2.586', 'seg_loss': '0.7593', 'dino_loss': '0.9446', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2163', 'siglip_loss': '0.6661', 'epoch': '0.3013'} + 93%|█████████████████████████████▊ | 8374/9000 [7:17:56<35:22, 3.39s/it][Dataset] cur_step=8375 phase=D_mixed_covt +[Dataset] cur_step=8375 phase=D_mixed_covt +[Dataset] cur_step=8375 phase=D_mixed_covt + 93%|█████████████████████████████▊ | 8375/9000 [7:17:56<30:08, 2.89s/it][Dataset] cur_step=8375 phase=D_mixed_covt[Dataset] cur_step=8375 phase=D_mixed_covt[Dataset] cur_step=8375 phase=D_mixed_covt + + +[Dataset] cur_step=8375 phase=D_mixed_covt +[Dataset] cur_step=8375 phase=D_mixed_covt + {'loss': '3.165', 'grad_norm': '2.985', 'learning_rate': '6.563e-07', 'epoch': '0.3013'} + 93%|█████████████████████████████▊ | 8375/9000 [7:17:56<30:08, 2.89s/it] {'lm_loss': '1.1', 'visual_loss': '2.85', 'seg_loss': '0.866', 'dino_loss': '0.9351', 'depth_loss': '0.3549', 'vggt_mse_loss': '0.3529', 'vggt_cos_loss': '0.01972', 'pidinet_loss': '0.2415', 'siglip_loss': '0.4529', 'epoch': '0.3013'} + 93%|█████████████████████████████▊ | 8375/9000 [7:17:57<30:08, 2.89s/it][Dataset] cur_step=8376 phase=D_mixed_covt +[Dataset] cur_step=8376 phase=D_mixed_covt[Dataset] cur_step=8376 phase=D_mixed_covt + +[Dataset] cur_step=8376 phase=D_mixed_covt +[Dataset] cur_step=8376 phase=D_mixed_covt +[Dataset] cur_step=8376 phase=D_mixed_covt 93%|█████████████████████████████▊ | 8376/9000 [7:17:58<26:51, 2.58s/it] +[Dataset] cur_step=8376 phase=D_mixed_covt +[Dataset] cur_step=8376 phase=D_mixed_covt + {'loss': '3.46', 'grad_norm': '5.587', 'learning_rate': '6.542e-07', 'epoch': '0.3013'} + 93%|█████████████████████████████▊ | 8376/9000 [7:17:58<26:51, 2.58s/it] {'lm_loss': '0.703', 'visual_loss': '3.038', 'seg_loss': '0.6941', 'dino_loss': '0.8842', 'depth_loss': '0.1459', 'vggt_mse_loss': '0.1451', 'vggt_cos_loss': '0.008169', 'pidinet_loss': '0.2355', 'siglip_loss': '1.078', 'epoch': '0.3013'} + 93%|█████████████████████████████▊ | 8376/9000 [7:17:59<26:51, 2.58s/it][Dataset] cur_step=8377 phase=D_mixed_covt[Dataset] cur_step=8377 phase=D_mixed_covt + +[Dataset] cur_step=8377 phase=D_mixed_covt[Dataset] cur_step=8377 phase=D_mixed_covt + +[Dataset] cur_step=8377 phase=D_mixed_covt + 93%|█████████████████████████████▊ | 8377/9000 [7:18:00<24:33, 2.37s/it][Dataset] cur_step=8377 phase=D_mixed_covt +[Dataset] cur_step=8377 phase=D_mixed_covt +[Dataset] cur_step=8377 phase=D_mixed_covt + {'loss': '3.445', 'grad_norm': '3.448', 'learning_rate': '6.522e-07', 'epoch': '0.3014'} + 93%|█████████████████████████████▊ | 8377/9000 [7:18:00<24:33, 2.37s/it] {'lm_loss': '0.4065', 'visual_loss': '2.812', 'seg_loss': '0.7589', 'dino_loss': '0.9058', 'depth_loss': '0.3576', 'vggt_mse_loss': '0.3555', 'vggt_cos_loss': '0.02125', 'pidinet_loss': '0.192', 'siglip_loss': '0.5977', 'epoch': '0.3014'} + 93%|█████████████████████████████▊ | 8377/9000 [7:18:01<24:33, 2.37s/it][Dataset] cur_step=8378 phase=D_mixed_covt +[Dataset] cur_step=8378 phase=D_mixed_covt +[Dataset] cur_step=8378 phase=D_mixed_covt + 93%|█████████████████████████████▊ | 8378/9000 [7:18:02<23:20, 2.25s/it][Dataset] cur_step=8378 phase=D_mixed_covt +[Dataset] cur_step=8378 phase=D_mixed_covt +[Dataset] cur_step=8378 phase=D_mixed_covt +[Dataset] cur_step=8378 phase=D_mixed_covt +[Dataset] cur_step=8378 phase=D_mixed_covt + {'loss': '3.431', 'grad_norm': '10.59', 'learning_rate': '6.501e-07', 'epoch': '0.3014'} + 93%|█████████████████████████████▊ | 8378/9000 [7:18:02<23:20, 2.25s/it] {'lm_loss': '0.855', 'visual_loss': '2.804', 'seg_loss': '0.8706', 'dino_loss': '0', 'depth_loss': '0.7099', 'vggt_mse_loss': '0.7053', 'vggt_cos_loss': '0.04597', 'pidinet_loss': '0.3112', 'siglip_loss': '0.9118', 'epoch': '0.3014'} + 93%|█████████████████████████████▊ | 8378/9000 [7:18:03<23:20, 2.25s/it][Dataset] cur_step=8379 phase=D_mixed_covt +[Dataset] cur_step=8379 phase=D_mixed_covt[Dataset] cur_step=8379 phase=D_mixed_covt[Dataset] cur_step=8379 phase=D_mixed_covt + +[Dataset] cur_step=8379 phase=D_mixed_covt + + 93%|█████████████████████████████▊ | 8379/9000 [7:18:04<22:19, 2.16s/it][Dataset] cur_step=8379 phase=D_mixed_covt +[Dataset] cur_step=8379 phase=D_mixed_covt +[Dataset] cur_step=8379 phase=D_mixed_covt + {'loss': '2.846', 'grad_norm': '4.796', 'learning_rate': '6.48e-07', 'epoch': '0.3014'} + 93%|█████████████████████████████▊ | 8379/9000 [7:18:04<22:19, 2.16s/it] {'lm_loss': '0.5594', 'visual_loss': '2.555', 'seg_loss': '0.658', 'dino_loss': '0.9195', 'depth_loss': '0.2165', 'vggt_mse_loss': '0.2146', 'vggt_cos_loss': '0.01895', 'pidinet_loss': '0.2207', 'siglip_loss': '0.5403', 'epoch': '0.3014'} + 93%|█████████████████████████████▊ | 8379/9000 [7:18:07<22:19, 2.16s/it][Dataset] cur_step=8380 phase=D_mixed_covt +[Dataset] cur_step=8380 phase=D_mixed_covt +[Dataset] cur_step=8380 phase=D_mixed_covt +[Dataset] cur_step=8380 phase=D_mixed_covt 93%|█████████████████████████████▊ | 8380/9000 [7:18:07<25:45, 2.49s/it] +[Dataset] cur_step=8380 phase=D_mixed_covt[Dataset] cur_step=8380 phase=D_mixed_covt[Dataset] cur_step=8380 phase=D_mixed_covt + + +[Dataset] cur_step=8380 phase=D_mixed_covt + {'loss': '3.253', 'grad_norm': '3.733', 'learning_rate': '6.459e-07', 'epoch': '0.3015'} + 93%|█████████████████████████████▊ | 8380/9000 [7:18:07<25:45, 2.49s/it] {'lm_loss': '0.5648', 'visual_loss': '2.972', 'seg_loss': '0.7433', 'dino_loss': '0.9185', 'depth_loss': '0.3028', 'vggt_mse_loss': '0.3002', 'vggt_cos_loss': '0.02587', 'pidinet_loss': '0.3131', 'siglip_loss': '0.6943', 'epoch': '0.3015'} + 93%|█████████████████████████████▊ | 8380/9000 [7:18:09<25:45, 2.49s/it][Dataset] cur_step=8381 phase=D_mixed_covt +[Dataset] cur_step=8381 phase=D_mixed_covt +[Dataset] cur_step=8381 phase=D_mixed_covt +[Dataset] cur_step=8381 phase=D_mixed_covt +[Dataset] cur_step=8381 phase=D_mixed_covt[Dataset] cur_step=8381 phase=D_mixed_covt + +[Dataset] cur_step=8381 phase=D_mixed_covt 93%|█████████████████████████████▊ | 8381/9000 [7:18:09<25:16, 2.45s/it] +[Dataset] cur_step=8381 phase=D_mixed_covt + {'loss': '3.317', 'grad_norm': '19.84', 'learning_rate': '6.439e-07', 'epoch': '0.3015'} + 93%|█████████████████████████████▊ | 8381/9000 [7:18:09<25:16, 2.45s/it] {'lm_loss': '0.7796', 'visual_loss': '2.705', 'seg_loss': '0.6755', 'dino_loss': '0.9054', 'depth_loss': '0.2294', 'vggt_mse_loss': '0.2279', 'vggt_cos_loss': '0.0148', 'pidinet_loss': '0.3654', 'siglip_loss': '0.5297', 'epoch': '0.3015'} + 93%|█████████████████████████████▊ | 8381/9000 [7:18:11<25:16, 2.45s/it][Dataset] cur_step=8382 phase=D_mixed_covt +[Dataset] cur_step=8382 phase=D_mixed_covt +[Dataset] cur_step=8382 phase=D_mixed_covt +[Dataset] cur_step=8382 phase=D_mixed_covt +[Dataset] cur_step=8382 phase=D_mixed_covt +[Dataset] cur_step=8382 phase=D_mixed_covt 93%|█████████████████████████████▊ | 8382/9000 [7:18:12<23:59, 2.33s/it] +[Dataset] cur_step=8382 phase=D_mixed_covt +[Dataset] cur_step=8382 phase=D_mixed_covt + {'loss': '3.287', 'grad_norm': '3.249', 'learning_rate': '6.418e-07', 'epoch': '0.3015'} + 93%|█████████████████████████████▊ | 8382/9000 [7:18:12<23:59, 2.33s/it] {'lm_loss': '0.6008', 'visual_loss': '2.693', 'seg_loss': '0.8535', 'dino_loss': '0.9056', 'depth_loss': '0.2666', 'vggt_mse_loss': '0.264', 'vggt_cos_loss': '0.02552', 'pidinet_loss': '0.2618', 'siglip_loss': '0.4052', 'epoch': '0.3015'} + 93%|█████████████████████████████▊ | 8382/9000 [7:18:13<23:59, 2.33s/it][Dataset] cur_step=8383 phase=D_mixed_covt +[Dataset] cur_step=8383 phase=D_mixed_covt[Dataset] cur_step=8383 phase=D_mixed_covt + +[Dataset] cur_step=8383 phase=D_mixed_covt + 93%|█████████████████████████████▊ | 8383/9000 [7:18:14<22:58, 2.23s/it][Dataset] cur_step=8383 phase=D_mixed_covt +[Dataset] cur_step=8383 phase=D_mixed_covt +[Dataset] cur_step=8383 phase=D_mixed_covt +[Dataset] cur_step=8383 phase=D_mixed_covt + {'loss': '3.016', 'grad_norm': '3.804', 'learning_rate': '6.397e-07', 'epoch': '0.3016'} + 93%|█████████████████████████████▊ | 8383/9000 [7:18:14<22:58, 2.23s/it] {'lm_loss': '0.6674', 'visual_loss': '2.689', 'seg_loss': '0.7476', 'dino_loss': '0.9193', 'depth_loss': '0.1808', 'vggt_mse_loss': '0.1795', 'vggt_cos_loss': '0.01223', 'pidinet_loss': '0.279', 'siglip_loss': '0.5619', 'epoch': '0.3016'} + 93%|█████████████████████████████▊ | 8383/9000 [7:18:16<22:58, 2.23s/it][Dataset] cur_step=8384 phase=D_mixed_covt +[Dataset] cur_step=8384 phase=D_mixed_covt +[Dataset] cur_step=8384 phase=D_mixed_covt +[Dataset] cur_step=8384 phase=D_mixed_covt[Dataset] cur_step=8384 phase=D_mixed_covt + + 93%|█████████████████████████████▊ | 8384/9000 [7:18:17<26:04, 2.54s/it][Dataset] cur_step=8384 phase=D_mixed_covt +[Dataset] cur_step=8384 phase=D_mixed_covt +[Dataset] cur_step=8384 phase=D_mixed_covt + {'loss': '3.162', 'grad_norm': '3.649', 'learning_rate': '6.377e-07', 'epoch': '0.3016'} + 93%|█████████████████████████████▊ | 8384/9000 [7:18:17<26:04, 2.54s/it] {'lm_loss': '0.9047', 'visual_loss': '2.584', 'seg_loss': '0.6319', 'dino_loss': '0.9258', 'depth_loss': '0.3011', 'vggt_mse_loss': '0.2985', 'vggt_cos_loss': '0.02588', 'pidinet_loss': '0.253', 'siglip_loss': '0.4726', 'epoch': '0.3016'} + 93%|█████████████████████████████▊ | 8384/9000 [7:18:19<26:04, 2.54s/it][Dataset] cur_step=8385 phase=D_mixed_covt +[Dataset] cur_step=8385 phase=D_mixed_covt +[Dataset] cur_step=8385 phase=D_mixed_covt +[Dataset] cur_step=8385 phase=D_mixed_covt + 93%|█████████████████████████████▊ | 8385/9000 [7:18:20<26:50, 2.62s/it][Dataset] cur_step=8385 phase=D_mixed_covt[Dataset] cur_step=8385 phase=D_mixed_covt[Dataset] cur_step=8385 phase=D_mixed_covt + + +[Dataset] cur_step=8385 phase=D_mixed_covt + {'loss': '3.304', 'grad_norm': '3.29', 'learning_rate': '6.356e-07', 'epoch': '0.3017'} + 93%|█████████████████████████████▊ | 8385/9000 [7:18:20<26:50, 2.62s/it] {'lm_loss': '0.7601', 'visual_loss': '2.818', 'seg_loss': '0.8345', 'dino_loss': '0.9236', 'depth_loss': '0.2651', 'vggt_mse_loss': '0.2633', 'vggt_cos_loss': '0.01886', 'pidinet_loss': '0.242', 'siglip_loss': '0.5525', 'epoch': '0.3017'} + 93%|█████████████████████████████▊ | 8385/9000 [7:18:21<26:50, 2.62s/it][Dataset] cur_step=8386 phase=D_mixed_covt +[Dataset] cur_step=8386 phase=D_mixed_covt +[Dataset] cur_step=8386 phase=D_mixed_covt +[Dataset] cur_step=8386 phase=D_mixed_covt 93%|█████████████████████████████▊ | 8386/9000 [7:18:21<23:58, 2.34s/it] +[Dataset] cur_step=8386 phase=D_mixed_covt +[Dataset] cur_step=8386 phase=D_mixed_covt +[Dataset] cur_step=8386 phase=D_mixed_covt +[Dataset] cur_step=8386 phase=D_mixed_covt + {'loss': '3.43', 'grad_norm': '3.305', 'learning_rate': '6.335e-07', 'epoch': '0.3017'} + 93%|█████████████████████████████▊ | 8386/9000 [7:18:21<23:58, 2.34s/it] {'lm_loss': '0.7737', 'visual_loss': '2.59', 'seg_loss': '0.7059', 'dino_loss': '0.8969', 'depth_loss': '0.2647', 'vggt_mse_loss': '0.2627', 'vggt_cos_loss': '0.01971', 'pidinet_loss': '0.273', 'siglip_loss': '0.45', 'epoch': '0.3017'} + 93%|█████████████████████████████▊ | 8386/9000 [7:18:24<23:58, 2.34s/it][Dataset] cur_step=8387 phase=D_mixed_covt +[Dataset] cur_step=8387 phase=D_mixed_covt +[Dataset] cur_step=8387 phase=D_mixed_covt +[Dataset] cur_step=8387 phase=D_mixed_covt +[Dataset] cur_step=8387 phase=D_mixed_covt +[Dataset] cur_step=8387 phase=D_mixed_covt[Dataset] cur_step=8387 phase=D_mixed_covt 93%|█████████████████████████████▊ | 8387/9000 [7:18:26<31:41, 3.10s/it] + +[Dataset] cur_step=8387 phase=D_mixed_covt + {'loss': '3.269', 'grad_norm': '5.417', 'learning_rate': '6.315e-07', 'epoch': '0.3017'} + 93%|█████████████████████████████▊ | 8387/9000 [7:18:26<31:41, 3.10s/it] {'lm_loss': '0.5724', 'visual_loss': '2.538', 'seg_loss': '0.672', 'dino_loss': '0.8938', 'depth_loss': '0.2113', 'vggt_mse_loss': '0.2098', 'vggt_cos_loss': '0.01487', 'pidinet_loss': '0.2819', 'siglip_loss': '0.4789', 'epoch': '0.3017'} + 93%|█████████████████████████████▊ | 8387/9000 [7:18:28<31:41, 3.10s/it][Dataset] cur_step=8388 phase=D_mixed_covt +[Dataset] cur_step=8388 phase=D_mixed_covt[Dataset] cur_step=8388 phase=D_mixed_covt + +[Dataset] cur_step=8388 phase=D_mixed_covt[Dataset] cur_step=8388 phase=D_mixed_covt + +[Dataset] cur_step=8388 phase=D_mixed_covt +[Dataset] cur_step=8388 phase=D_mixed_covt + 93%|█████████████████████████████▊ | 8388/9000 [7:18:29<29:51, 2.93s/it][Dataset] cur_step=8388 phase=D_mixed_covt + {'loss': '3.275', 'grad_norm': '4.122', 'learning_rate': '6.294e-07', 'epoch': '0.3018'} + 93%|█████████████████████████████▊ | 8388/9000 [7:18:29<29:51, 2.93s/it] {'lm_loss': '0.09533', 'visual_loss': '2.649', 'seg_loss': '0.7207', 'dino_loss': '0.8998', 'depth_loss': '0.343', 'vggt_mse_loss': '0.3399', 'vggt_cos_loss': '0.03063', 'pidinet_loss': '0.2307', 'siglip_loss': '0.4544', 'epoch': '0.3018'} + 93%|█████████████████████████████▊ | 8388/9000 [7:18:31<29:51, 2.93s/it][Dataset] cur_step=8389 phase=D_mixed_covt +[Dataset] cur_step=8389 phase=D_mixed_covt +[Dataset] cur_step=8389 phase=D_mixed_covt +[Dataset] cur_step=8389 phase=D_mixed_covt +[Dataset] cur_step=8389 phase=D_mixed_covt +[Dataset] cur_step=8389 phase=D_mixed_covt[Dataset] cur_step=8389 phase=D_mixed_covt + +[Dataset] cur_step=8389 phase=D_mixed_covt 93%|█████████████████████████████▊ | 8389/9000 [7:18:32<30:56, 3.04s/it] + {'loss': '2.999', 'grad_norm': '3.207', 'learning_rate': '6.274e-07', 'epoch': '0.3018'} + 93%|█████████████████████████████▊ | 8389/9000 [7:18:32<30:56, 3.04s/it] {'lm_loss': '0.4418', 'visual_loss': '2.974', 'seg_loss': '0.9283', 'dino_loss': '0.9293', 'depth_loss': '0.2632', 'vggt_mse_loss': '0.2611', 'vggt_cos_loss': '0.02123', 'pidinet_loss': '0.2659', 'siglip_loss': '0.5874', 'epoch': '0.3018'} + 93%|█████████████████████████████▊ | 8389/9000 [7:18:34<30:56, 3.04s/it][Dataset] cur_step=8390 phase=D_mixed_covt +[Dataset] cur_step=8390 phase=D_mixed_covt +[Dataset] cur_step=8390 phase=D_mixed_covt +[Dataset] cur_step=8390 phase=D_mixed_covt +[Dataset] cur_step=8390 phase=D_mixed_covt[Dataset] cur_step=8390 phase=D_mixed_covt + + 93%|█████████████████████████████▊ | 8390/9000 [7:18:35<29:42, 2.92s/it][Dataset] cur_step=8390 phase=D_mixed_covt +[Dataset] cur_step=8390 phase=D_mixed_covt + {'loss': '3.145', 'grad_norm': '2.221', 'learning_rate': '6.253e-07', 'epoch': '0.3018'} + 93%|█████████████████████████████▊ | 8390/9000 [7:18:35<29:42, 2.92s/it] {'lm_loss': '0.6949', 'visual_loss': '1.357', 'seg_loss': '0', 'dino_loss': '0.9119', 'depth_loss': '0.241', 'vggt_mse_loss': '0.2395', 'vggt_cos_loss': '0.01453', 'pidinet_loss': '0.2045', 'siglip_loss': '0', 'epoch': '0.3018'} + 93%|█████████████████████████████▊ | 8390/9000 [7:18:35<29:42, 2.92s/it][Dataset] cur_step=8391 phase=D_mixed_covt +[Dataset] cur_step=8391 phase=D_mixed_covt +[Dataset] cur_step=8391 phase=D_mixed_covt +[Dataset] cur_step=8391 phase=D_mixed_covt[Dataset] cur_step=8391 phase=D_mixed_covt + + 93%|█████████████████████████████▊ | 8391/9000 [7:18:36<24:01, 2.37s/it][Dataset] cur_step=8391 phase=D_mixed_covt +[Dataset] cur_step=8391 phase=D_mixed_covt +[Dataset] cur_step=8391 phase=D_mixed_covt + {'loss': '2.096', 'grad_norm': '2.353', 'learning_rate': '6.233e-07', 'epoch': '0.3019'} + 93%|█████████████████████████████▊ | 8391/9000 [7:18:36<24:01, 2.37s/it] {'lm_loss': '0.6686', 'visual_loss': '2.677', 'seg_loss': '0.6225', 'dino_loss': '0.8837', 'depth_loss': '0.4683', 'vggt_mse_loss': '0.4646', 'vggt_cos_loss': '0.03781', 'pidinet_loss': '0.2689', 'siglip_loss': '0.4335', 'epoch': '0.3019'} + 93%|█████████████████████████████▊ | 8391/9000 [7:18:37<24:01, 2.37s/it][Dataset] cur_step=8392 phase=D_mixed_covt +[Dataset] cur_step=8392 phase=D_mixed_covt +[Dataset] cur_step=8392 phase=D_mixed_covt[Dataset] cur_step=8392 phase=D_mixed_covt + + 93%|█████████████████████████████▊ | 8392/9000 [7:18:38<22:18, 2.20s/it][Dataset] cur_step=8392 phase=D_mixed_covt[Dataset] cur_step=8392 phase=D_mixed_covt[Dataset] cur_step=8392 phase=D_mixed_covt + + +[Dataset] cur_step=8392 phase=D_mixed_covt + {'loss': '3.247', 'grad_norm': '3.025', 'learning_rate': '6.213e-07', 'epoch': '0.3019'} + 93%|█████████████████████████████▊ | 8392/9000 [7:18:38<22:18, 2.20s/it] {'lm_loss': '1.14', 'visual_loss': '2.977', 'seg_loss': '0.8428', 'dino_loss': '0.9596', 'depth_loss': '0.1589', 'vggt_mse_loss': '0.1581', 'vggt_cos_loss': '0.007326', 'pidinet_loss': '0.2945', 'siglip_loss': '0.7214', 'epoch': '0.3019'} + 93%|█████████████████████████████▊ | 8392/9000 [7:18:40<22:18, 2.20s/it][Dataset] cur_step=8393 phase=D_mixed_covt +[Dataset] cur_step=8393 phase=D_mixed_covt +[Dataset] cur_step=8393 phase=D_mixed_covt +[Dataset] cur_step=8393 phase=D_mixed_covt +[Dataset] cur_step=8393 phase=D_mixed_covt 93%|█████████████████████████████▊ | 8393/9000 [7:18:41<26:18, 2.60s/it] +[Dataset] cur_step=8393 phase=D_mixed_covt +[Dataset] cur_step=8393 phase=D_mixed_covt +[Dataset] cur_step=8393 phase=D_mixed_covt + {'loss': '3.572', 'grad_norm': '2.785', 'learning_rate': '6.192e-07', 'epoch': '0.3019'} + 93%|█████████████████████████████▊ | 8393/9000 [7:18:41<26:18, 2.60s/it] {'lm_loss': '1.044', 'visual_loss': '2.799', 'seg_loss': '0.7195', 'dino_loss': '0.9221', 'depth_loss': '0.2591', 'vggt_mse_loss': '0.2568', 'vggt_cos_loss': '0.02274', 'pidinet_loss': '0.2828', 'siglip_loss': '0.6154', 'epoch': '0.3019'} + 93%|█████████████████████████████▊ | 8393/9000 [7:18:43<26:18, 2.60s/it][Dataset] cur_step=8394 phase=D_mixed_covt +[Dataset] cur_step=8394 phase=D_mixed_covt +[Dataset] cur_step=8394 phase=D_mixed_covt 93%|█████████████████████████████▊ | 8394/9000 [7:18:44<26:14, 2.60s/it] +[Dataset] cur_step=8394 phase=D_mixed_covt[Dataset] cur_step=8394 phase=D_mixed_covt + +[Dataset] cur_step=8394 phase=D_mixed_covt +[Dataset] cur_step=8394 phase=D_mixed_covt +[Dataset] cur_step=8394 phase=D_mixed_covt + {'loss': '3.202', 'grad_norm': '2.78', 'learning_rate': '6.172e-07', 'epoch': '0.302'} + 93%|█████████████████████████████▊ | 8394/9000 [7:18:44<26:14, 2.60s/it] {'lm_loss': '0.1021', 'visual_loss': '2.216', 'seg_loss': '0.8087', 'dino_loss': '0.9165', 'depth_loss': '0.1916', 'vggt_mse_loss': '0.1901', 'vggt_cos_loss': '0.01538', 'pidinet_loss': '0.2993', 'siglip_loss': '0', 'epoch': '0.302'} + 93%|█████████████████████████████▊ | 8394/9000 [7:18:45<26:14, 2.60s/it][Dataset] cur_step=8395 phase=D_mixed_covt +[Dataset] cur_step=8395 phase=D_mixed_covt[Dataset] cur_step=8395 phase=D_mixed_covt + +[Dataset] cur_step=8395 phase=D_mixed_covt +[Dataset] cur_step=8395 phase=D_mixed_covt +[Dataset] cur_step=8395 phase=D_mixed_covt +[Dataset] cur_step=8395 phase=D_mixed_covt +[Dataset] cur_step=8395 phase=D_mixed_covt + 93%|█████████████████████████████▊ | 8395/9000 [7:18:48<30:24, 3.02s/it] {'loss': '2.738', 'grad_norm': '3.904', 'learning_rate': '6.152e-07', 'epoch': '0.302'} + 93%|█████████████████████████████▊ | 8395/9000 [7:18:48<30:24, 3.02s/it] {'lm_loss': '0.733', 'visual_loss': '2.64', 'seg_loss': '0.8054', 'dino_loss': '0.9058', 'depth_loss': '0.1231', 'vggt_mse_loss': '0.1222', 'vggt_cos_loss': '0.008463', 'pidinet_loss': '0.2312', 'siglip_loss': '0.5749', 'epoch': '0.302'} + 93%|█████████████████████████████▊ | 8395/9000 [7:18:50<30:24, 3.02s/it][Dataset] cur_step=8396 phase=D_mixed_covt +[Dataset] cur_step=8396 phase=D_mixed_covt +[Dataset] cur_step=8396 phase=D_mixed_covt[Dataset] cur_step=8396 phase=D_mixed_covt + + 93%|█████████████████████████████▊ | 8396/9000 [7:18:51<31:18, 3.11s/it][Dataset] cur_step=8396 phase=D_mixed_covt +[Dataset] cur_step=8396 phase=D_mixed_covt +[Dataset] cur_step=8396 phase=D_mixed_covt +[Dataset] cur_step=8396 phase=D_mixed_covt + {'loss': '3.407', 'grad_norm': '2.576', 'learning_rate': '6.132e-07', 'epoch': '0.302'} + 93%|█████████████████████████████▊ | 8396/9000 [7:18:51<31:18, 3.11s/it] {'lm_loss': '1.115', 'visual_loss': '3.05', 'seg_loss': '0.7552', 'dino_loss': '0.9056', 'depth_loss': '0.2155', 'vggt_mse_loss': '0.2139', 'vggt_cos_loss': '0.01564', 'pidinet_loss': '0.2115', 'siglip_loss': '0.9622', 'epoch': '0.302'} + 93%|█████████████████████████████▊ | 8396/9000 [7:18:53<31:18, 3.11s/it][Dataset] cur_step=8397 phase=D_mixed_covt +[Dataset] cur_step=8397 phase=D_mixed_covt +[Dataset] cur_step=8397 phase=D_mixed_covt[Dataset] cur_step=8397 phase=D_mixed_covt + +[Dataset] cur_step=8397 phase=D_mixed_covt[Dataset] cur_step=8397 phase=D_mixed_covt + + 93%|█████████████████████████████▊ | 8397/9000 [7:18:54<30:24, 3.03s/it][Dataset] cur_step=8397 phase=D_mixed_covt +[Dataset] cur_step=8397 phase=D_mixed_covt + {'loss': '3.086', 'grad_norm': '2.084', 'learning_rate': '6.111e-07', 'epoch': '0.3021'} + 93%|█████████████████████████████▊ | 8397/9000 [7:18:54<30:24, 3.03s/it] {'lm_loss': '0.0589', 'visual_loss': '2.145', 'seg_loss': '0.7675', 'dino_loss': '0.8408', 'depth_loss': '0.1838', 'vggt_mse_loss': '0.1827', 'vggt_cos_loss': '0.01027', 'pidinet_loss': '0.06973', 'siglip_loss': '0.2831', 'epoch': '0.3021'} + 93%|█████████████████████████████▊ | 8397/9000 [7:18:56<30:24, 3.03s/it][Dataset] cur_step=8398 phase=D_mixed_covt[Dataset] cur_step=8398 phase=D_mixed_covt + + 93%|█████████████████████████████▊ | 8398/9000 [7:18:56<29:02, 2.90s/it][Dataset] cur_step=8398 phase=D_mixed_covt[Dataset] cur_step=8398 phase=D_mixed_covt + +[Dataset] cur_step=8398 phase=D_mixed_covt[Dataset] cur_step=8398 phase=D_mixed_covt + +[Dataset] cur_step=8398 phase=D_mixed_covt +[Dataset] cur_step=8398 phase=D_mixed_covt + {'loss': '3.358', 'grad_norm': '18.45', 'learning_rate': '6.091e-07', 'epoch': '0.3021'} + 93%|█████████████████████████████▊ | 8398/9000 [7:18:56<29:02, 2.90s/it] {'lm_loss': '0.5068', 'visual_loss': '1.76', 'seg_loss': '0.7108', 'dino_loss': '0.9223', 'depth_loss': '0.1274', 'vggt_mse_loss': '0.1265', 'vggt_cos_loss': '0.008473', 'pidinet_loss': '0', 'siglip_loss': '0', 'epoch': '0.3021'} + 93%|█████████████████████████████▊ | 8398/9000 [7:18:58<29:02, 2.90s/it][Dataset] cur_step=8399 phase=D_mixed_covt + 93%|█████████████████████████████▊ | 8399/9000 [7:18:59<27:38, 2.76s/it][Dataset] cur_step=8399 phase=D_mixed_covt[Dataset] cur_step=8399 phase=D_mixed_covt +[Dataset] cur_step=8399 phase=D_mixed_covt + +[Dataset] cur_step=8399 phase=D_mixed_covt +[Dataset] cur_step=8399 phase=D_mixed_covt +[Dataset] cur_step=8399 phase=D_mixed_covt +[Dataset] cur_step=8399 phase=D_mixed_covt + {'loss': '2.281', 'grad_norm': '3.236', 'learning_rate': '6.071e-07', 'epoch': '0.3022'} + 93%|█████████████████████████████▊ | 8399/9000 [7:18:59<27:38, 2.76s/it] {'lm_loss': '0.8491', 'visual_loss': '2.314', 'seg_loss': '0.6286', 'dino_loss': '0.8773', 'depth_loss': '0.2396', 'vggt_mse_loss': '0.2379', 'vggt_cos_loss': '0.01723', 'pidinet_loss': '0.2476', 'siglip_loss': '0.3211', 'epoch': '0.3022'} + 93%|█████████████████████████████▊ | 8399/9000 [7:19:01<27:38, 2.76s/it][Dataset] cur_step=8400 phase=D_mixed_covt +[Dataset] cur_step=8400 phase=D_mixed_covt +[Dataset] cur_step=8400 phase=D_mixed_covt + 93%|█████████████████████████████▊ | 8400/9000 [7:19:03<33:02, 3.30s/it][Dataset] cur_step=8400 phase=D_mixed_covt +[Dataset] cur_step=8400 phase=D_mixed_covt +[Dataset] cur_step=8400 phase=D_mixed_covt +[Dataset] cur_step=8400 phase=D_mixed_covt +[Dataset] cur_step=8400 phase=D_mixed_covt + {'loss': '3.346', 'grad_norm': '2.54', 'learning_rate': '6.051e-07', 'epoch': '0.3022'} + 93%|█████████████████████████████▊ | 8400/9000 [7:19:03<33:02, 3.30s/it] {'lm_loss': '0.7567', 'visual_loss': '1.909', 'seg_loss': '0.9733', 'dino_loss': '0.9356', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0', 'siglip_loss': '0', 'epoch': '0.3022'} + 93%|█████████████████████████████▊ | 8400/9000 [7:19:05<33:02, 3.30s/it][Dataset] cur_step=8401 phase=D_mixed_covt +[Dataset] cur_step=8401 phase=D_mixed_covt[Dataset] cur_step=8401 phase=D_mixed_covt +[Dataset] cur_step=8401 phase=D_mixed_covt +[Dataset] cur_step=8401 phase=D_mixed_covt + +[Dataset] cur_step=8401 phase=D_mixed_covt 93%|█████████████████████████████▊ | 8401/9000 [7:19:05<28:09, 2.82s/it] +[Dataset] cur_step=8401 phase=D_mixed_covt +[Dataset] cur_step=8401 phase=D_mixed_covt + {'loss': '2.684', 'grad_norm': '2.604', 'learning_rate': '6.031e-07', 'epoch': '0.3022'} + 93%|█████████████████████████████▊ | 8401/9000 [7:19:05<28:09, 2.82s/it] {'lm_loss': '0.5447', 'visual_loss': '1.767', 'seg_loss': '0.5311', 'dino_loss': '0', 'depth_loss': '0.2229', 'vggt_mse_loss': '0.2212', 'vggt_cos_loss': '0.01675', 'pidinet_loss': '0.2623', 'siglip_loss': '0.7505', 'epoch': '0.3022'} + 93%|█████████████████████████████▊ | 8401/9000 [7:19:11<28:09, 2.82s/it][Dataset] cur_step=8402 phase=D_mixed_covt + 93%|█████████████████████████████▊ | 8402/9000 [7:19:11<37:53, 3.80s/it][Dataset] cur_step=8402 phase=D_mixed_covt[Dataset] cur_step=8402 phase=D_mixed_covt + +[Dataset] cur_step=8402 phase=D_mixed_covt +[Dataset] cur_step=8402 phase=D_mixed_covt[Dataset] cur_step=8402 phase=D_mixed_covt + +[Dataset] cur_step=8402 phase=D_mixed_covt +[Dataset] cur_step=8402 phase=D_mixed_covt + {'loss': '2.481', 'grad_norm': '4.184', 'learning_rate': '6.011e-07', 'epoch': '0.3023'} + 93%|█████████████████████████████▊ | 8402/9000 [7:19:11<37:53, 3.80s/it] {'lm_loss': '0.9903', 'visual_loss': '2.745', 'seg_loss': '0.6543', 'dino_loss': '0.9354', 'depth_loss': '0.2417', 'vggt_mse_loss': '0.24', 'vggt_cos_loss': '0.01613', 'pidinet_loss': '0.2644', 'siglip_loss': '0.6488', 'epoch': '0.3023'} + 93%|█████████████████████████████▊ | 8402/9000 [7:19:13<37:53, 3.80s/it][Dataset] cur_step=8403 phase=D_mixed_covt +[Dataset] cur_step=8403 phase=D_mixed_covt +[Dataset] cur_step=8403 phase=D_mixed_covt +[Dataset] cur_step=8403 phase=D_mixed_covt[Dataset] cur_step=8403 phase=D_mixed_covt +[Dataset] cur_step=8403 phase=D_mixed_covt + + 93%|█████████████████████████████▉ | 8403/9000 [7:19:14<34:56, 3.51s/it][Dataset] cur_step=8403 phase=D_mixed_covt +[Dataset] cur_step=8403 phase=D_mixed_covt + {'loss': '3.031', 'grad_norm': '4.866', 'learning_rate': '5.991e-07', 'epoch': '0.3023'} + 93%|█████████████████████████████▉ | 8403/9000 [7:19:14<34:56, 3.51s/it] {'lm_loss': '0.7323', 'visual_loss': '2.164', 'seg_loss': '0.6849', 'dino_loss': '0.8835', 'depth_loss': '0.1935', 'vggt_mse_loss': '0.1924', 'vggt_cos_loss': '0.01125', 'pidinet_loss': '0.1787', 'siglip_loss': '0.2238', 'epoch': '0.3023'} + 93%|█████████████████████████████▉ | 8403/9000 [7:19:18<34:56, 3.51s/it][Dataset] cur_step=8404 phase=D_mixed_covt +[Dataset] cur_step=8404 phase=D_mixed_covt + 93%|█████████████████████████████▉ | 8404/9000 [7:19:18<36:11, 3.64s/it][Dataset] cur_step=8404 phase=D_mixed_covt +[Dataset] cur_step=8404 phase=D_mixed_covt +[Dataset] cur_step=8404 phase=D_mixed_covt +[Dataset] cur_step=8404 phase=D_mixed_covt +[Dataset] cur_step=8404 phase=D_mixed_covt +[Dataset] cur_step=8404 phase=D_mixed_covt + {'loss': '3.097', 'grad_norm': '2.611', 'learning_rate': '5.971e-07', 'epoch': '0.3023'} + 93%|█████████████████████████████▉ | 8404/9000 [7:19:18<36:11, 3.64s/it] {'lm_loss': '0.6616', 'visual_loss': '1.717', 'seg_loss': '0.6789', 'dino_loss': '0', 'depth_loss': '0.1586', 'vggt_mse_loss': '0.1574', 'vggt_cos_loss': '0.01254', 'pidinet_loss': '0.2341', 'siglip_loss': '0.6456', 'epoch': '0.3023'} + 93%|█████████████████████████████▉ | 8404/9000 [7:19:20<36:11, 3.64s/it][Dataset] cur_step=8405 phase=D_mixed_covt +[Dataset] cur_step=8405 phase=D_mixed_covt[Dataset] cur_step=8405 phase=D_mixed_covt +[Dataset] cur_step=8405 phase=D_mixed_covt + +[Dataset] cur_step=8405 phase=D_mixed_covt + 93%|█████████████████████████████▉ | 8405/9000 [7:19:20<31:06, 3.14s/it][Dataset] cur_step=8405 phase=D_mixed_covt +[Dataset] cur_step=8405 phase=D_mixed_covt +[Dataset] cur_step=8405 phase=D_mixed_covt + {'loss': '2.238', 'grad_norm': '6.163', 'learning_rate': '5.951e-07', 'epoch': '0.3024'} + 93%|█████████████████████████████▉ | 8405/9000 [7:19:20<31:06, 3.14s/it] {'lm_loss': '1.106', 'visual_loss': '2.572', 'seg_loss': '0.8951', 'dino_loss': '0.8925', 'depth_loss': '0.1411', 'vggt_mse_loss': '0.1403', 'vggt_cos_loss': '0.008534', 'pidinet_loss': '0.2429', 'siglip_loss': '0.4001', 'epoch': '0.3024'} + 93%|█████████████████████████████▉ | 8405/9000 [7:19:22<31:06, 3.14s/it][Dataset] cur_step=8406 phase=D_mixed_covt +[Dataset] cur_step=8406 phase=D_mixed_covt +[Dataset] cur_step=8406 phase=D_mixed_covt +[Dataset] cur_step=8406 phase=D_mixed_covt +[Dataset] cur_step=8406 phase=D_mixed_covt +[Dataset] cur_step=8406 phase=D_mixed_covt +[Dataset] cur_step=8406 phase=D_mixed_covt + 93%|█████████████████████████████▉ | 8406/9000 [7:19:23<30:24, 3.07s/it][Dataset] cur_step=8406 phase=D_mixed_covt + {'loss': '3.426', 'grad_norm': '2.862', 'learning_rate': '5.931e-07', 'epoch': '0.3024'} + 93%|█████████████████████████████▉ | 8406/9000 [7:19:23<30:24, 3.07s/it] {'lm_loss': '0.5775', 'visual_loss': '2.92', 'seg_loss': '0.5994', 'dino_loss': '0.9143', 'depth_loss': '0.1869', 'vggt_mse_loss': '0.1856', 'vggt_cos_loss': '0.01331', 'pidinet_loss': '0.2659', 'siglip_loss': '0.9537', 'epoch': '0.3024'} + 93%|█████████████████████████████▉ | 8406/9000 [7:19:25<30:24, 3.07s/it][Dataset] cur_step=8407 phase=D_mixed_covt +[Dataset] cur_step=8407 phase=D_mixed_covt[Dataset] cur_step=8407 phase=D_mixed_covt[Dataset] cur_step=8407 phase=D_mixed_covt + + +[Dataset] cur_step=8407 phase=D_mixed_covt +[Dataset] cur_step=8407 phase=D_mixed_covt +[Dataset] cur_step=8407 phase=D_mixed_covt + 93%|█████████████████████████████▉ | 8407/9000 [7:19:26<29:13, 2.96s/it][Dataset] cur_step=8407 phase=D_mixed_covt + {'loss': '3.357', 'grad_norm': '3.617', 'learning_rate': '5.911e-07', 'epoch': '0.3024'} + 93%|█████████████████████████████▉ | 8407/9000 [7:19:26<29:13, 2.96s/it] {'lm_loss': '0.9774', 'visual_loss': '1.951', 'seg_loss': '0.5276', 'dino_loss': '0.8639', 'depth_loss': '0.1564', 'vggt_mse_loss': '0.1558', 'vggt_cos_loss': '0.00586', 'pidinet_loss': '0.1373', 'siglip_loss': '0.2657', 'epoch': '0.3024'} + 93%|█████████████████████████████▉ | 8407/9000 [7:19:28<29:13, 2.96s/it][Dataset] cur_step=8408 phase=D_mixed_covt +[Dataset] cur_step=8408 phase=D_mixed_covt[Dataset] cur_step=8408 phase=D_mixed_covt + +[Dataset] cur_step=8408 phase=D_mixed_covt[Dataset] cur_step=8408 phase=D_mixed_covt + +[Dataset] cur_step=8408 phase=D_mixed_covt + 93%|█████████████████████████████▉ | 8408/9000 [7:19:29<30:41, 3.11s/it][Dataset] cur_step=8408 phase=D_mixed_covt +[Dataset] cur_step=8408 phase=D_mixed_covt + {'loss': '3.195', 'grad_norm': '3.269', 'learning_rate': '5.891e-07', 'epoch': '0.3025'} + 93%|█████████████████████████████▉ | 8408/9000 [7:19:29<30:41, 3.11s/it] {'lm_loss': '0.5657', 'visual_loss': '2.697', 'seg_loss': '0.7096', 'dino_loss': '0.9178', 'depth_loss': '0.279', 'vggt_mse_loss': '0.277', 'vggt_cos_loss': '0.01956', 'pidinet_loss': '0.2338', 'siglip_loss': '0.557', 'epoch': '0.3025'} + 93%|█████████████████████████████▉ | 8408/9000 [7:19:31<30:41, 3.11s/it][Dataset] cur_step=8409 phase=D_mixed_covt +[Dataset] cur_step=8409 phase=D_mixed_covt +[Dataset] cur_step=8409 phase=D_mixed_covt +[Dataset] cur_step=8409 phase=D_mixed_covt +[Dataset] cur_step=8409 phase=D_mixed_covt +[Dataset] cur_step=8409 phase=D_mixed_covt +[Dataset] cur_step=8409 phase=D_mixed_covt +[Dataset] cur_step=8409 phase=D_mixed_covt + 93%|█████████████████████████████▉ | 8409/9000 [7:19:32<30:09, 3.06s/it] {'loss': '3.29', 'grad_norm': '2.578', 'learning_rate': '5.871e-07', 'epoch': '0.3025'} + 93%|█████████████████████████████▉ | 8409/9000 [7:19:32<30:09, 3.06s/it] {'lm_loss': '0.7846', 'visual_loss': '1.961', 'seg_loss': '0.7171', 'dino_loss': '0.9053', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.3387', 'siglip_loss': '0', 'epoch': '0.3025'} + 93%|█████████████████████████████▉ | 8409/9000 [7:19:33<30:09, 3.06s/it][Dataset] cur_step=8410 phase=D_mixed_covt +[Dataset] cur_step=8410 phase=D_mixed_covt[Dataset] cur_step=8410 phase=D_mixed_covt + +[Dataset] cur_step=8410 phase=D_mixed_covt +[Dataset] cur_step=8410 phase=D_mixed_covt + 93%|█████████████████████████████▉ | 8410/9000 [7:19:37<34:57, 3.55s/it][Dataset] cur_step=8410 phase=D_mixed_covt +[Dataset] cur_step=8410 phase=D_mixed_covt +[Dataset] cur_step=8410 phase=D_mixed_covt + {'loss': '2.621', 'grad_norm': '2.284', 'learning_rate': '5.852e-07', 'epoch': '0.3026'} + 93%|█████████████████████████████▉ | 8410/9000 [7:19:37<34:57, 3.55s/it] {'lm_loss': '0.7838', 'visual_loss': '2.315', 'seg_loss': '0.613', 'dino_loss': '0.9056', 'depth_loss': '0.2392', 'vggt_mse_loss': '0.2375', 'vggt_cos_loss': '0.01757', 'pidinet_loss': '0', 'siglip_loss': '0.5568', 'epoch': '0.3026'} + 93%|█████████████████████████████▉ | 8410/9000 [7:19:39<34:57, 3.55s/it][Dataset] cur_step=8411 phase=D_mixed_covt +[Dataset] cur_step=8411 phase=D_mixed_covt[Dataset] cur_step=8411 phase=D_mixed_covt + +[Dataset] cur_step=8411 phase=D_mixed_covt + 93%|█████████████████████████████▉ | 8411/9000 [7:19:39<31:56, 3.25s/it][Dataset] cur_step=8411 phase=D_mixed_covt[Dataset] cur_step=8411 phase=D_mixed_covt + +[Dataset] cur_step=8411 phase=D_mixed_covt +[Dataset] cur_step=8411 phase=D_mixed_covt + {'loss': '3.121', 'grad_norm': '3.053', 'learning_rate': '5.832e-07', 'epoch': '0.3026'} + 93%|█████████████████████████████▉ | 8411/9000 [7:19:39<31:56, 3.25s/it] {'lm_loss': '0.9863', 'visual_loss': '0.9856', 'seg_loss': '0', 'dino_loss': '0.9034', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.08218', 'siglip_loss': '0', 'epoch': '0.3026'} + 93%|█████████████████████████████▉ | 8411/9000 [7:19:40<31:56, 3.25s/it][Dataset] cur_step=8412 phase=D_mixed_covt +[Dataset] cur_step=8412 phase=D_mixed_covt[Dataset] cur_step=8412 phase=D_mixed_covt + +[Dataset] cur_step=8412 phase=D_mixed_covt +[Dataset] cur_step=8412 phase=D_mixed_covt +[Dataset] cur_step=8412 phase=D_mixed_covt + 93%|█████████████████████████████▉ | 8412/9000 [7:19:40<24:55, 2.54s/it][Dataset] cur_step=8412 phase=D_mixed_covt +[Dataset] cur_step=8412 phase=D_mixed_covt + {'loss': '1.825', 'grad_norm': '3.958', 'learning_rate': '5.812e-07', 'epoch': '0.3026'} + 93%|█████████████████████████████▉ | 8412/9000 [7:19:40<24:55, 2.54s/it] {'lm_loss': '0.8837', 'visual_loss': '1.932', 'seg_loss': '0.7629', 'dino_loss': '0.9453', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2241', 'siglip_loss': '0', 'epoch': '0.3026'} + 93%|█████████████████████████████▉ | 8412/9000 [7:19:42<24:55, 2.54s/it][Dataset] cur_step=8413 phase=D_mixed_covt +[Dataset] cur_step=8413 phase=D_mixed_covt +[Dataset] cur_step=8413 phase=D_mixed_covt +[Dataset] cur_step=8413 phase=D_mixed_covt +[Dataset] cur_step=8413 phase=D_mixed_covt +[Dataset] cur_step=8413 phase=D_mixed_covt + 93%|█████████████████████████████▉ | 8413/9000 [7:19:43<25:15, 2.58s/it][Dataset] cur_step=8413 phase=D_mixed_covt +[Dataset] cur_step=8413 phase=D_mixed_covt + {'loss': '2.449', 'grad_norm': '4.223', 'learning_rate': '5.793e-07', 'epoch': '0.3027'} + 93%|█████████████████████████████▉ | 8413/9000 [7:19:43<25:15, 2.58s/it] {'lm_loss': '0.7804', 'visual_loss': '2.774', 'seg_loss': '0.6714', 'dino_loss': '0.9539', 'depth_loss': '0.1541', 'vggt_mse_loss': '0.1529', 'vggt_cos_loss': '0.01181', 'pidinet_loss': '0.2529', 'siglip_loss': '0.7417', 'epoch': '0.3027'} + 93%|█████████████████████████████▉ | 8413/9000 [7:19:44<25:15, 2.58s/it][Dataset] cur_step=8414 phase=D_mixed_covt +[Dataset] cur_step=8414 phase=D_mixed_covt +[Dataset] cur_step=8414 phase=D_mixed_covt +[Dataset] cur_step=8414 phase=D_mixed_covt +[Dataset] cur_step=8414 phase=D_mixed_covt + 93%|█████████████████████████████▉ | 8414/9000 [7:19:45<23:15, 2.38s/it][Dataset] cur_step=8414 phase=D_mixed_covt +[Dataset] cur_step=8414 phase=D_mixed_covt +[Dataset] cur_step=8414 phase=D_mixed_covt + {'loss': '3.523', 'grad_norm': '18.06', 'learning_rate': '5.773e-07', 'epoch': '0.3027'} + 93%|█████████████████████████████▉ | 8414/9000 [7:19:45<23:15, 2.38s/it] {'lm_loss': '0.1323', 'visual_loss': '2.291', 'seg_loss': '0.7571', 'dino_loss': '0.894', 'depth_loss': '0.2491', 'vggt_mse_loss': '0.2473', 'vggt_cos_loss': '0.01788', 'pidinet_loss': '0.2189', 'siglip_loss': '0.1715', 'epoch': '0.3027'} + 93%|█████████████████████████████▉ | 8414/9000 [7:19:48<23:15, 2.38s/it][Dataset] cur_step=8415 phase=D_mixed_covt +[Dataset] cur_step=8415 phase=D_mixed_covt[Dataset] cur_step=8415 phase=D_mixed_covt + + 94%|█████████████████████████████▉ | 8415/9000 [7:19:49<27:58, 2.87s/it][Dataset] cur_step=8415 phase=D_mixed_covt +[Dataset] cur_step=8415 phase=D_mixed_covt +[Dataset] cur_step=8415 phase=D_mixed_covt +[Dataset] cur_step=8415 phase=D_mixed_covt +[Dataset] cur_step=8415 phase=D_mixed_covt + {'loss': '3.051', 'grad_norm': '9.93', 'learning_rate': '5.753e-07', 'epoch': '0.3027'} + 94%|█████████████████████████████▉ | 8415/9000 [7:19:49<27:58, 2.87s/it] {'lm_loss': '0.9262', 'visual_loss': '2.719', 'seg_loss': '0.5152', 'dino_loss': '0.8925', 'depth_loss': '0.2059', 'vggt_mse_loss': '0.2047', 'vggt_cos_loss': '0.01169', 'pidinet_loss': '0.331', 'siglip_loss': '0.7744', 'epoch': '0.3027'} + 94%|█████████████████████████████▉ | 8415/9000 [7:19:50<27:58, 2.87s/it][Dataset] cur_step=8416 phase=D_mixed_covt[Dataset] cur_step=8416 phase=D_mixed_covt + +[Dataset] cur_step=8416 phase=D_mixed_covt +[Dataset] cur_step=8416 phase=D_mixed_covt +[Dataset] cur_step=8416 phase=D_mixed_covt + 94%|█████████████████████████████▉ | 8416/9000 [7:19:53<32:40, 3.36s/it][Dataset] cur_step=8416 phase=D_mixed_covt +[Dataset] cur_step=8416 phase=D_mixed_covt +[Dataset] cur_step=8416 phase=D_mixed_covt + {'loss': '3.368', 'grad_norm': '5.373', 'learning_rate': '5.734e-07', 'epoch': '0.3028'} + 94%|█████████████████████████████▉ | 8416/9000 [7:19:53<32:40, 3.36s/it] {'lm_loss': '1.244', 'visual_loss': '2.02', 'seg_loss': '0', 'dino_loss': '0.9003', 'depth_loss': '0.1825', 'vggt_mse_loss': '0.1809', 'vggt_cos_loss': '0.01536', 'pidinet_loss': '0.1915', 'siglip_loss': '0.7458', 'epoch': '0.3028'} + 94%|█████████████████████████████▉ | 8416/9000 [7:19:54<32:40, 3.36s/it][Dataset] cur_step=8417 phase=D_mixed_covt +[Dataset] cur_step=8417 phase=D_mixed_covt +[Dataset] cur_step=8417 phase=D_mixed_covt +[Dataset] cur_step=8417 phase=D_mixed_covt +[Dataset] cur_step=8417 phase=D_mixed_covt + 94%|█████████████████████████████▉ | 8417/9000 [7:19:54<26:15, 2.70s/it][Dataset] cur_step=8417 phase=D_mixed_covt +[Dataset] cur_step=8417 phase=D_mixed_covt +[Dataset] cur_step=8417 phase=D_mixed_covt + {'loss': '2.627', 'grad_norm': '3.875', 'learning_rate': '5.714e-07', 'epoch': '0.3028'} + 94%|█████████████████████████████▉ | 8417/9000 [7:19:54<26:15, 2.70s/it] {'lm_loss': '0.688', 'visual_loss': '1.945', 'seg_loss': '0', 'dino_loss': '0.9295', 'depth_loss': '0.1955', 'vggt_mse_loss': '0.1942', 'vggt_cos_loss': '0.01325', 'pidinet_loss': '0.2541', 'siglip_loss': '0.5662', 'epoch': '0.3028'} + 94%|█████████████████████████████▉ | 8417/9000 [7:19:55<26:15, 2.70s/it][Dataset] cur_step=8418 phase=D_mixed_covt[Dataset] cur_step=8418 phase=D_mixed_covt + +[Dataset] cur_step=8418 phase=D_mixed_covt[Dataset] cur_step=8418 phase=D_mixed_covt + +[Dataset] cur_step=8418 phase=D_mixed_covt +[Dataset] cur_step=8418 phase=D_mixed_covt 94%|█████████████████████████████▉ | 8418/9000 [7:19:56<22:26, 2.31s/it] +[Dataset] cur_step=8418 phase=D_mixed_covt +[Dataset] cur_step=8418 phase=D_mixed_covt + {'loss': '2.422', 'grad_norm': '1.965', 'learning_rate': '5.695e-07', 'epoch': '0.3028'} + 94%|█████████████████████████████▉ | 8418/9000 [7:19:56<22:26, 2.31s/it] {'lm_loss': '0.6527', 'visual_loss': '1.616', 'seg_loss': '0.6483', 'dino_loss': '0', 'depth_loss': '0.1816', 'vggt_mse_loss': '0.1805', 'vggt_cos_loss': '0.01165', 'pidinet_loss': '0.2233', 'siglip_loss': '0.5624', 'epoch': '0.3028'} + 94%|█████████████████████████████▉ | 8418/9000 [7:19:58<22:26, 2.31s/it][Dataset] cur_step=8419 phase=D_mixed_covt[Dataset] cur_step=8419 phase=D_mixed_covt +[Dataset] cur_step=8419 phase=D_mixed_covt + +[Dataset] cur_step=8419 phase=D_mixed_covt +[Dataset] cur_step=8419 phase=D_mixed_covt + 94%|█████████████████████████████▉ | 8419/9000 [7:19:59<26:21, 2.72s/it][Dataset] cur_step=8419 phase=D_mixed_covt +[Dataset] cur_step=8419 phase=D_mixed_covt +[Dataset] cur_step=8419 phase=D_mixed_covt + {'loss': '2.519', 'grad_norm': '3.512', 'learning_rate': '5.675e-07', 'epoch': '0.3029'} + 94%|█████████████████████████████▉ | 8419/9000 [7:19:59<26:21, 2.72s/it] {'lm_loss': '0.8179', 'visual_loss': '2.271', 'seg_loss': '0', 'dino_loss': '0.8613', 'depth_loss': '0.3719', 'vggt_mse_loss': '0.3685', 'vggt_cos_loss': '0.03342', 'pidinet_loss': '0', 'siglip_loss': '1.038', 'epoch': '0.3029'} + 94%|█████████████████████████████▉ | 8419/9000 [7:20:00<26:21, 2.72s/it][Dataset] cur_step=8420 phase=D_mixed_covt +[Dataset] cur_step=8420 phase=D_mixed_covt +[Dataset] cur_step=8420 phase=D_mixed_covt +[Dataset] cur_step=8420 phase=D_mixed_covt +[Dataset] cur_step=8420 phase=D_mixed_covt + 94%|█████████████████████████████▉ | 8420/9000 [7:20:01<21:46, 2.25s/it][Dataset] cur_step=8420 phase=D_mixed_covt +[Dataset] cur_step=8420 phase=D_mixed_covt +[Dataset] cur_step=8420 phase=D_mixed_covt + {'loss': '2.525', 'grad_norm': '7.122', 'learning_rate': '5.656e-07', 'epoch': '0.3029'} + 94%|█████████████████████████████▉ | 8420/9000 [7:20:01<21:46, 2.25s/it] {'lm_loss': '0.5703', 'visual_loss': '2.662', 'seg_loss': '0.6784', 'dino_loss': '0.9264', 'depth_loss': '0.3133', 'vggt_mse_loss': '0.3106', 'vggt_cos_loss': '0.0274', 'pidinet_loss': '0.2721', 'siglip_loss': '0.4717', 'epoch': '0.3029'} + 94%|█████████████████████████████▉ | 8420/9000 [7:20:04<21:46, 2.25s/it][Dataset] cur_step=8421 phase=D_mixed_covt +[Dataset] cur_step=8421 phase=D_mixed_covt +[Dataset] cur_step=8421 phase=D_mixed_covt +[Dataset] cur_step=8421 phase=D_mixed_covt +[Dataset] cur_step=8421 phase=D_mixed_covt 94%|█████████████████████████████▉ | 8421/9000 [7:20:04<25:34, 2.65s/it] +[Dataset] cur_step=8421 phase=D_mixed_covt +[Dataset] cur_step=8421 phase=D_mixed_covt[Dataset] cur_step=8421 phase=D_mixed_covt + + {'loss': '3.03', 'grad_norm': '3.578', 'learning_rate': '5.636e-07', 'epoch': '0.3029'} + 94%|█████████████████████████████▉ | 8421/9000 [7:20:04<25:34, 2.65s/it] {'lm_loss': '0.4193', 'visual_loss': '2.954', 'seg_loss': '0.73', 'dino_loss': '0.962', 'depth_loss': '0.36', 'vggt_mse_loss': '0.3578', 'vggt_cos_loss': '0.02158', 'pidinet_loss': '0.3054', 'siglip_loss': '0.5964', 'epoch': '0.3029'} + 94%|█████████████████████████████▉ | 8421/9000 [7:20:07<25:34, 2.65s/it][Dataset] cur_step=8422 phase=D_mixed_covt +[Dataset] cur_step=8422 phase=D_mixed_covt +[Dataset] cur_step=8422 phase=D_mixed_covt +[Dataset] cur_step=8422 phase=D_mixed_covt[Dataset] cur_step=8422 phase=D_mixed_covt + + 94%|█████████████████████████████▉ | 8422/9000 [7:20:07<25:51, 2.68s/it][Dataset] cur_step=8422 phase=D_mixed_covt +[Dataset] cur_step=8422 phase=D_mixed_covt +[Dataset] cur_step=8422 phase=D_mixed_covt + {'loss': '3.115', 'grad_norm': '23.57', 'learning_rate': '5.617e-07', 'epoch': '0.303'} + 94%|█████████████████████████████▉ | 8422/9000 [7:20:07<25:51, 2.68s/it] {'lm_loss': '0.6579', 'visual_loss': '2.557', 'seg_loss': '0.7358', 'dino_loss': '0.9417', 'depth_loss': '0.2037', 'vggt_mse_loss': '0.2024', 'vggt_cos_loss': '0.0126', 'pidinet_loss': '0.2188', 'siglip_loss': '0.457', 'epoch': '0.303'} + 94%|█████████████████████████████▉ | 8422/9000 [7:20:10<25:51, 2.68s/it][Dataset] cur_step=8423 phase=D_mixed_covt +[Dataset] cur_step=8423 phase=D_mixed_covt[Dataset] cur_step=8423 phase=D_mixed_covt + + 94%|█████████████████████████████▉ | 8423/9000 [7:20:10<27:53, 2.90s/it][Dataset] cur_step=8423 phase=D_mixed_covt +[Dataset] cur_step=8423 phase=D_mixed_covt +[Dataset] cur_step=8423 phase=D_mixed_covt +[Dataset] cur_step=8423 phase=D_mixed_covt[Dataset] cur_step=8423 phase=D_mixed_covt + + {'loss': '3.198', 'grad_norm': '1.933', 'learning_rate': '5.598e-07', 'epoch': '0.303'} + 94%|█████████████████████████████▉ | 8423/9000 [7:20:10<27:53, 2.90s/it] {'lm_loss': '0.6632', 'visual_loss': '2.551', 'seg_loss': '0.7128', 'dino_loss': '0.916', 'depth_loss': '0.1824', 'vggt_mse_loss': '0.1811', 'vggt_cos_loss': '0.01256', 'pidinet_loss': '0.2655', 'siglip_loss': '0.4744', 'epoch': '0.303'} + 94%|█████████████████████████████▉ | 8423/9000 [7:20:13<27:53, 2.90s/it][Dataset] cur_step=8424 phase=D_mixed_covt +[Dataset] cur_step=8424 phase=D_mixed_covt +[Dataset] cur_step=8424 phase=D_mixed_covt +[Dataset] cur_step=8424 phase=D_mixed_covt +[Dataset] cur_step=8424 phase=D_mixed_covt +[Dataset] cur_step=8424 phase=D_mixed_covt +[Dataset] cur_step=8424 phase=D_mixed_covt +[Dataset] cur_step=8424 phase=D_mixed_covt + 94%|█████████████████████████████▉ | 8424/9000 [7:20:13<27:10, 2.83s/it] {'loss': '3.325', 'grad_norm': '3.225', 'learning_rate': '5.578e-07', 'epoch': '0.3031'} + 94%|█████████████████████████████▉ | 8424/9000 [7:20:13<27:10, 2.83s/it] {'lm_loss': '0.4008', 'visual_loss': '2.388', 'seg_loss': '0.6108', 'dino_loss': '0.8975', 'depth_loss': '0.2731', 'vggt_mse_loss': '0.271', 'vggt_cos_loss': '0.0211', 'pidinet_loss': '0.1761', 'siglip_loss': '0.4306', 'epoch': '0.3031'} + 94%|█████████████████████████████▉ | 8424/9000 [7:20:16<27:10, 2.83s/it][Dataset] cur_step=8425 phase=D_mixed_covt +[Dataset] cur_step=8425 phase=D_mixed_covt +[Dataset] cur_step=8425 phase=D_mixed_covt +[Dataset] cur_step=8425 phase=D_mixed_covt +[Dataset] cur_step=8425 phase=D_mixed_covt +[Dataset] cur_step=8425 phase=D_mixed_covt + 94%|█████████████████████████████▉ | 8425/9000 [7:20:17<29:03, 3.03s/it][Dataset] cur_step=8425 phase=D_mixed_covt[Dataset] cur_step=8425 phase=D_mixed_covt + + {'loss': '3.07', 'grad_norm': '2.933', 'learning_rate': '5.559e-07', 'epoch': '0.3031'} + 94%|█████████████████████████████▉ | 8425/9000 [7:20:17<29:03, 3.03s/it] {'lm_loss': '0.7513', 'visual_loss': '2.656', 'seg_loss': '0.7373', 'dino_loss': '0.905', 'depth_loss': '0.3306', 'vggt_mse_loss': '0.3288', 'vggt_cos_loss': '0.01752', 'pidinet_loss': '0.2351', 'siglip_loss': '0.4475', 'epoch': '0.3031'} + 94%|█████████████████████████████▉ | 8425/9000 [7:20:18<29:03, 3.03s/it][Dataset] cur_step=8426 phase=D_mixed_covt +[Dataset] cur_step=8426 phase=D_mixed_covt +[Dataset] cur_step=8426 phase=D_mixed_covt +[Dataset] cur_step=8426 phase=D_mixed_covt +[Dataset] cur_step=8426 phase=D_mixed_covt +[Dataset] cur_step=8426 phase=D_mixed_covt[Dataset] cur_step=8426 phase=D_mixed_covt + + 94%|█████████████████████████████▉ | 8426/9000 [7:20:19<26:02, 2.72s/it][Dataset] cur_step=8426 phase=D_mixed_covt + {'loss': '3.045', 'grad_norm': '9.558', 'learning_rate': '5.54e-07', 'epoch': '0.3031'} + 94%|█████████████████████████████▉ | 8426/9000 [7:20:19<26:02, 2.72s/it] {'lm_loss': '0.3886', 'visual_loss': '0.9339', 'seg_loss': '0.5066', 'dino_loss': '0', 'depth_loss': '0.1217', 'vggt_mse_loss': '0.1212', 'vggt_cos_loss': '0.004794', 'pidinet_loss': '0.1777', 'siglip_loss': '0.128', 'epoch': '0.3031'} + 94%|█████████████████████████████▉ | 8426/9000 [7:20:20<26:02, 2.72s/it][Dataset] cur_step=8427 phase=D_mixed_covt[Dataset] cur_step=8427 phase=D_mixed_covt[Dataset] cur_step=8427 phase=D_mixed_covt + + +[Dataset] cur_step=8427 phase=D_mixed_covt[Dataset] cur_step=8427 phase=D_mixed_covt + 94%|█████████████████████████████▉ | 8427/9000 [7:20:20<23:12, 2.43s/it] +[Dataset] cur_step=8427 phase=D_mixed_covt +[Dataset] cur_step=8427 phase=D_mixed_covt[Dataset] cur_step=8427 phase=D_mixed_covt + + {'loss': '2.412', 'grad_norm': '3.24', 'learning_rate': '5.521e-07', 'epoch': '0.3032'} + 94%|█████████████████████████████▉ | 8427/9000 [7:20:20<23:12, 2.43s/it] {'lm_loss': '0.7233', 'visual_loss': '2.939', 'seg_loss': '0.7269', 'dino_loss': '0.9335', 'depth_loss': '0.1772', 'vggt_mse_loss': '0.1762', 'vggt_cos_loss': '0.009261', 'pidinet_loss': '0.3453', 'siglip_loss': '0.7565', 'epoch': '0.3032'} + 94%|█████████████████████████████▉ | 8427/9000 [7:20:21<23:12, 2.43s/it][Dataset] cur_step=8428 phase=D_mixed_covt +[Dataset] cur_step=8428 phase=D_mixed_covt + 94%|█████████████████████████████▉ | 8428/9000 [7:20:22<21:22, 2.24s/it][Dataset] cur_step=8428 phase=D_mixed_covt[Dataset] cur_step=8428 phase=D_mixed_covt + +[Dataset] cur_step=8428 phase=D_mixed_covt[Dataset] cur_step=8428 phase=D_mixed_covt + +[Dataset] cur_step=8428 phase=D_mixed_covt +[Dataset] cur_step=8428 phase=D_mixed_covt + {'loss': '3.205', 'grad_norm': '5.686', 'learning_rate': '5.501e-07', 'epoch': '0.3032'} + 94%|█████████████████████████████▉ | 8428/9000 [7:20:22<21:22, 2.24s/it] {'lm_loss': '0.8452', 'visual_loss': '2.501', 'seg_loss': '0.8257', 'dino_loss': '0.9174', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2486', 'siglip_loss': '0.5088', 'epoch': '0.3032'} + 94%|█████████████████████████████▉ | 8428/9000 [7:20:24<21:22, 2.24s/it][Dataset] cur_step=8429 phase=D_mixed_covt +[Dataset] cur_step=8429 phase=D_mixed_covt[Dataset] cur_step=8429 phase=D_mixed_covt + +[Dataset] cur_step=8429 phase=D_mixed_covt +[Dataset] cur_step=8429 phase=D_mixed_covt + 94%|█████████████████████████████▉ | 8429/9000 [7:20:25<22:08, 2.33s/it][Dataset] cur_step=8429 phase=D_mixed_covt +[Dataset] cur_step=8429 phase=D_mixed_covt +[Dataset] cur_step=8429 phase=D_mixed_covt + {'loss': '3.24', 'grad_norm': '2.862', 'learning_rate': '5.482e-07', 'epoch': '0.3032'} + 94%|█████████████████████████████▉ | 8429/9000 [7:20:25<22:08, 2.33s/it] {'lm_loss': '0.2909', 'visual_loss': '2.778', 'seg_loss': '0.7443', 'dino_loss': '0.9517', 'depth_loss': '0.241', 'vggt_mse_loss': '0.239', 'vggt_cos_loss': '0.02094', 'pidinet_loss': '0.24', 'siglip_loss': '0.6011', 'epoch': '0.3032'} + 94%|█████████████████████████████▉ | 8429/9000 [7:20:27<22:08, 2.33s/it][Dataset] cur_step=8430 phase=D_mixed_covt +[Dataset] cur_step=8430 phase=D_mixed_covt +[Dataset] cur_step=8430 phase=D_mixed_covt + 94%|█████████████████████████████▉ | 8430/9000 [7:20:28<24:48, 2.61s/it][Dataset] cur_step=8430 phase=D_mixed_covt +[Dataset] cur_step=8430 phase=D_mixed_covt +[Dataset] cur_step=8430 phase=D_mixed_covt +[Dataset] cur_step=8430 phase=D_mixed_covt +[Dataset] cur_step=8430 phase=D_mixed_covt + {'loss': '3.18', 'grad_norm': '4.389', 'learning_rate': '5.463e-07', 'epoch': '0.3033'} + 94%|█████████████████████████████▉ | 8430/9000 [7:20:28<24:48, 2.61s/it] {'lm_loss': '0.4558', 'visual_loss': '2.294', 'seg_loss': '0.4557', 'dino_loss': '0.9058', 'depth_loss': '0.2453', 'vggt_mse_loss': '0.2438', 'vggt_cos_loss': '0.01469', 'pidinet_loss': '0.1921', 'siglip_loss': '0.4953', 'epoch': '0.3033'} + 94%|█████████████████████████████▉ | 8430/9000 [7:20:30<24:48, 2.61s/it][Dataset] cur_step=8431 phase=D_mixed_covt +[Dataset] cur_step=8431 phase=D_mixed_covt[Dataset] cur_step=8431 phase=D_mixed_covt + +[Dataset] cur_step=8431 phase=D_mixed_covt[Dataset] cur_step=8431 phase=D_mixed_covt + +[Dataset] cur_step=8431 phase=D_mixed_covt +[Dataset] cur_step=8431 phase=D_mixed_covt + 94%|█████████████████████████████▉ | 8431/9000 [7:20:30<24:23, 2.57s/it][Dataset] cur_step=8431 phase=D_mixed_covt + {'loss': '3.309', 'grad_norm': '2.73', 'learning_rate': '5.444e-07', 'epoch': '0.3033'} + 94%|█████████████████████████████▉ | 8431/9000 [7:20:30<24:23, 2.57s/it] {'lm_loss': '0.8056', 'visual_loss': '2.451', 'seg_loss': '0.734', 'dino_loss': '0.9377', 'depth_loss': '0.2256', 'vggt_mse_loss': '0.2239', 'vggt_cos_loss': '0.01722', 'pidinet_loss': '0.2304', 'siglip_loss': '0.3236', 'epoch': '0.3033'} + 94%|█████████████████████████████▉ | 8431/9000 [7:20:33<24:23, 2.57s/it][Dataset] cur_step=8432 phase=D_mixed_covt +[Dataset] cur_step=8432 phase=D_mixed_covt[Dataset] cur_step=8432 phase=D_mixed_covt + + 94%|█████████████████████████████▉ | 8432/9000 [7:20:34<27:10, 2.87s/it][Dataset] cur_step=8432 phase=D_mixed_covt[Dataset] cur_step=8432 phase=D_mixed_covt +[Dataset] cur_step=8432 phase=D_mixed_covt[Dataset] cur_step=8432 phase=D_mixed_covt + + +[Dataset] cur_step=8432 phase=D_mixed_covt + {'loss': '3.068', 'grad_norm': '1.863', 'learning_rate': '5.425e-07', 'epoch': '0.3033'} + 94%|█████████████████████████████▉ | 8432/9000 [7:20:34<27:10, 2.87s/it] {'lm_loss': '0.3358', 'visual_loss': '2.497', 'seg_loss': '0.6425', 'dino_loss': '0.8972', 'depth_loss': '0.2258', 'vggt_mse_loss': '0.2241', 'vggt_cos_loss': '0.01698', 'pidinet_loss': '0.1742', 'siglip_loss': '0.557', 'epoch': '0.3033'} + 94%|█████████████████████████████▉ | 8432/9000 [7:20:37<27:10, 2.87s/it][Dataset] cur_step=8433 phase=D_mixed_covt +[Dataset] cur_step=8433 phase=D_mixed_covt[Dataset] cur_step=8433 phase=D_mixed_covt[Dataset] cur_step=8433 phase=D_mixed_covt +[Dataset] cur_step=8433 phase=D_mixed_covt + +[Dataset] cur_step=8433 phase=D_mixed_covt + +[Dataset] cur_step=8433 phase=D_mixed_covt + 94%|█████████████████████████████▉ | 8433/9000 [7:20:38<30:34, 3.24s/it][Dataset] cur_step=8433 phase=D_mixed_covt + {'loss': '2.981', 'grad_norm': '2.441', 'learning_rate': '5.406e-07', 'epoch': '0.3034'} + 94%|█████████████████████████████▉ | 8433/9000 [7:20:38<30:34, 3.24s/it] {'lm_loss': '0.5412', 'visual_loss': '2.641', 'seg_loss': '0.7358', 'dino_loss': '0.9', 'depth_loss': '0.2393', 'vggt_mse_loss': '0.2376', 'vggt_cos_loss': '0.01634', 'pidinet_loss': '0.2331', 'siglip_loss': '0.5326', 'epoch': '0.3034'} + 94%|█████████████████████████████▉ | 8433/9000 [7:20:40<30:34, 3.24s/it][Dataset] cur_step=8434 phase=D_mixed_covt +[Dataset] cur_step=8434 phase=D_mixed_covt +[Dataset] cur_step=8434 phase=D_mixed_covt +[Dataset] cur_step=8434 phase=D_mixed_covt +[Dataset] cur_step=8434 phase=D_mixed_covt + 94%|█████████████████████████████▉ | 8434/9000 [7:20:41<29:16, 3.10s/it][Dataset] cur_step=8434 phase=D_mixed_covt +[Dataset] cur_step=8434 phase=D_mixed_covt +[Dataset] cur_step=8434 phase=D_mixed_covt + {'loss': '3.196', 'grad_norm': '2.728', 'learning_rate': '5.387e-07', 'epoch': '0.3034'} + 94%|█████████████████████████████▉ | 8434/9000 [7:20:41<29:16, 3.10s/it] {'lm_loss': '0.3388', 'visual_loss': '2.807', 'seg_loss': '0.7398', 'dino_loss': '0.9275', 'depth_loss': '0.2532', 'vggt_mse_loss': '0.2518', 'vggt_cos_loss': '0.01419', 'pidinet_loss': '0.2273', 'siglip_loss': '0.6592', 'epoch': '0.3034'} + 94%|█████████████████████████████▉ | 8434/9000 [7:20:44<29:16, 3.10s/it][Dataset] cur_step=8435 phase=D_mixed_covt +[Dataset] cur_step=8435 phase=D_mixed_covt + 94%|█████████████████████████████▉ | 8435/9000 [7:20:44<29:43, 3.16s/it][Dataset] cur_step=8435 phase=D_mixed_covt +[Dataset] cur_step=8435 phase=D_mixed_covt +[Dataset] cur_step=8435 phase=D_mixed_covt +[Dataset] cur_step=8435 phase=D_mixed_covt[Dataset] cur_step=8435 phase=D_mixed_covt + +[Dataset] cur_step=8435 phase=D_mixed_covt + {'loss': '3.059', 'grad_norm': '2.246', 'learning_rate': '5.368e-07', 'epoch': '0.3035'} + 94%|█████████████████████████████▉ | 8435/9000 [7:20:44<29:43, 3.16s/it] {'lm_loss': '0.7468', 'visual_loss': '2.463', 'seg_loss': '0.7281', 'dino_loss': '0.9068', 'depth_loss': '0.2921', 'vggt_mse_loss': '0.2905', 'vggt_cos_loss': '0.01566', 'pidinet_loss': '0', 'siglip_loss': '0.5361', 'epoch': '0.3035'} + 94%|█████████████████████████████▉ | 8435/9000 [7:20:46<29:43, 3.16s/it][Dataset] cur_step=8436 phase=D_mixed_covt +[Dataset] cur_step=8436 phase=D_mixed_covt +[Dataset] cur_step=8436 phase=D_mixed_covt +[Dataset] cur_step=8436 phase=D_mixed_covt[Dataset] cur_step=8436 phase=D_mixed_covt + +[Dataset] cur_step=8436 phase=D_mixed_covt[Dataset] cur_step=8436 phase=D_mixed_covt + + 94%|█████████████████████████████▉ | 8436/9000 [7:20:47<27:54, 2.97s/it][Dataset] cur_step=8436 phase=D_mixed_covt + {'loss': '3.188', 'grad_norm': '3.031', 'learning_rate': '5.349e-07', 'epoch': '0.3035'} + 94%|█████████████████████████████▉ | 8436/9000 [7:20:47<27:54, 2.97s/it] {'lm_loss': '0.726', 'visual_loss': '1.57', 'seg_loss': '0.8481', 'dino_loss': '0', 'depth_loss': '0.3503', 'vggt_mse_loss': '0.3478', 'vggt_cos_loss': '0.02429', 'pidinet_loss': '0', 'siglip_loss': '0.3715', 'epoch': '0.3035'} + 94%|█████████████████████████████▉ | 8436/9000 [7:20:48<27:54, 2.97s/it][Dataset] cur_step=8437 phase=D_mixed_covt +[Dataset] cur_step=8437 phase=D_mixed_covt +[Dataset] cur_step=8437 phase=D_mixed_covt +[Dataset] cur_step=8437 phase=D_mixed_covt +[Dataset] cur_step=8437 phase=D_mixed_covt +[Dataset] cur_step=8437 phase=D_mixed_covt[Dataset] cur_step=8437 phase=D_mixed_covt + + 94%|█████████████████████████████▉ | 8437/9000 [7:20:49<26:16, 2.80s/it][Dataset] cur_step=8437 phase=D_mixed_covt + {'loss': '2.344', 'grad_norm': '3.444', 'learning_rate': '5.33e-07', 'epoch': '0.3035'} + 94%|█████████████████████████████▉ | 8437/9000 [7:20:49<26:16, 2.80s/it] {'lm_loss': '0.5971', 'visual_loss': '2.666', 'seg_loss': '0.6986', 'dino_loss': '0.9364', 'depth_loss': '0.3385', 'vggt_mse_loss': '0.3355', 'vggt_cos_loss': '0.02981', 'pidinet_loss': '0.254', 'siglip_loss': '0.438', 'epoch': '0.3035'} + 94%|█████████████████████████████▉ | 8437/9000 [7:20:51<26:16, 2.80s/it][Dataset] cur_step=8438 phase=D_mixed_covt +[Dataset] cur_step=8438 phase=D_mixed_covt +[Dataset] cur_step=8438 phase=D_mixed_covt +[Dataset] cur_step=8438 phase=D_mixed_covt[Dataset] cur_step=8438 phase=D_mixed_covt + +[Dataset] cur_step=8438 phase=D_mixed_covt +[Dataset] cur_step=8438 phase=D_mixed_covt +[Dataset] cur_step=8438 phase=D_mixed_covt + 94%|██████████████████████████████ | 8438/9000 [7:20:51<24:06, 2.57s/it] {'loss': '3.022', 'grad_norm': '3.901', 'learning_rate': '5.311e-07', 'epoch': '0.3036'} + 94%|██████████████████████████████ | 8438/9000 [7:20:51<24:06, 2.57s/it] {'lm_loss': '0.9783', 'visual_loss': '2.879', 'seg_loss': '0.7983', 'dino_loss': '0.9203', 'depth_loss': '0.2324', 'vggt_mse_loss': '0.2308', 'vggt_cos_loss': '0.01606', 'pidinet_loss': '0.2553', 'siglip_loss': '0.6722', 'epoch': '0.3036'} + 94%|██████████████████████████████ | 8438/9000 [7:20:53<24:06, 2.57s/it][Dataset] cur_step=8439 phase=D_mixed_covt[Dataset] cur_step=8439 phase=D_mixed_covt + +[Dataset] cur_step=8439 phase=D_mixed_covt +[Dataset] cur_step=8439 phase=D_mixed_covt +[Dataset] cur_step=8439 phase=D_mixed_covt +[Dataset] cur_step=8439 phase=D_mixed_covt +[Dataset] cur_step=8439 phase=D_mixed_covt +[Dataset] cur_step=8439 phase=D_mixed_covt + 94%|██████████████████████████████ | 8439/9000 [7:20:54<23:52, 2.55s/it] {'loss': '3.186', 'grad_norm': '3.212', 'learning_rate': '5.293e-07', 'epoch': '0.3036'} + 94%|██████████████████████████████ | 8439/9000 [7:20:54<23:52, 2.55s/it] {'lm_loss': '0.6657', 'visual_loss': '2.626', 'seg_loss': '0.7638', 'dino_loss': '0.894', 'depth_loss': '0.2536', 'vggt_mse_loss': '0.2515', 'vggt_cos_loss': '0.02031', 'pidinet_loss': '0.2816', 'siglip_loss': '0.4328', 'epoch': '0.3036'} + 94%|██████████████████████████████ | 8439/9000 [7:20:56<23:52, 2.55s/it][Dataset] cur_step=8440 phase=D_mixed_covt[Dataset] cur_step=8440 phase=D_mixed_covt + +[Dataset] cur_step=8440 phase=D_mixed_covt +[Dataset] cur_step=8440 phase=D_mixed_covt +[Dataset] cur_step=8440 phase=D_mixed_covt +[Dataset] cur_step=8440 phase=D_mixed_covt +[Dataset] cur_step=8440 phase=D_mixed_covt + 94%|██████████████████████████████ | 8440/9000 [7:20:57<25:54, 2.78s/it][Dataset] cur_step=8440 phase=D_mixed_covt + {'loss': '3.407', 'grad_norm': '5.003', 'learning_rate': '5.274e-07', 'epoch': '0.3036'} + 94%|██████████████████████████████ | 8440/9000 [7:20:57<25:54, 2.78s/it] {'lm_loss': '0.6403', 'visual_loss': '2.548', 'seg_loss': '0.8301', 'dino_loss': '0.9276', 'depth_loss': '0.2901', 'vggt_mse_loss': '0.2877', 'vggt_cos_loss': '0.02339', 'pidinet_loss': '0', 'siglip_loss': '0.5', 'epoch': '0.3036'} + 94%|██████████████████████████████ | 8440/9000 [7:20:58<25:54, 2.78s/it][Dataset] cur_step=8441 phase=D_mixed_covt + 94%|██████████████████████████████ | 8441/9000 [7:20:59<22:49, 2.45s/it][Dataset] cur_step=8441 phase=D_mixed_covt +[Dataset] cur_step=8441 phase=D_mixed_covt +[Dataset] cur_step=8441 phase=D_mixed_covt[Dataset] cur_step=8441 phase=D_mixed_covt +[Dataset] cur_step=8441 phase=D_mixed_covt + +[Dataset] cur_step=8441 phase=D_mixed_covt +[Dataset] cur_step=8441 phase=D_mixed_covt + {'loss': '3.01', 'grad_norm': '3.124', 'learning_rate': '5.255e-07', 'epoch': '0.3037'} + 94%|██████████████████████████████ | 8441/9000 [7:20:59<22:49, 2.45s/it] {'lm_loss': '0.4817', 'visual_loss': '2.526', 'seg_loss': '0.747', 'dino_loss': '0.8871', 'depth_loss': '0.2047', 'vggt_mse_loss': '0.2029', 'vggt_cos_loss': '0.01777', 'pidinet_loss': '0.2233', 'siglip_loss': '0.4644', 'epoch': '0.3037'} + 94%|██████████████████████████████ | 8441/9000 [7:21:01<22:49, 2.45s/it][Dataset] cur_step=8442 phase=D_mixed_covt +[Dataset] cur_step=8442 phase=D_mixed_covt +[Dataset] cur_step=8442 phase=D_mixed_covt +[Dataset] cur_step=8442 phase=D_mixed_covt +[Dataset] cur_step=8442 phase=D_mixed_covt + 94%|██████████████████████████████ | 8442/9000 [7:21:02<26:13, 2.82s/it][Dataset] cur_step=8442 phase=D_mixed_covt +[Dataset] cur_step=8442 phase=D_mixed_covt +[Dataset] cur_step=8442 phase=D_mixed_covt + {'loss': '3.118', 'grad_norm': '10.48', 'learning_rate': '5.236e-07', 'epoch': '0.3037'} + 94%|██████████████████████████████ | 8442/9000 [7:21:02<26:13, 2.82s/it] {'lm_loss': '0.518', 'visual_loss': '2.425', 'seg_loss': '0.4917', 'dino_loss': '0.8639', 'depth_loss': '0.2291', 'vggt_mse_loss': '0.2275', 'vggt_cos_loss': '0.0163', 'pidinet_loss': '0.2064', 'siglip_loss': '0.6337', 'epoch': '0.3037'} + 94%|██████████████████████████████ | 8442/9000 [7:21:04<26:13, 2.82s/it][Dataset] cur_step=8443 phase=D_mixed_covt +[Dataset] cur_step=8443 phase=D_mixed_covt +[Dataset] cur_step=8443 phase=D_mixed_covt + 94%|██████████████████████████████ | 8443/9000 [7:21:05<25:19, 2.73s/it][Dataset] cur_step=8443 phase=D_mixed_covt +[Dataset] cur_step=8443 phase=D_mixed_covt[Dataset] cur_step=8443 phase=D_mixed_covt + +[Dataset] cur_step=8443 phase=D_mixed_covt +[Dataset] cur_step=8443 phase=D_mixed_covt + {'loss': '3.179', 'grad_norm': '3.055', 'learning_rate': '5.218e-07', 'epoch': '0.3037'} + 94%|██████████████████████████████ | 8443/9000 [7:21:05<25:19, 2.73s/it] {'lm_loss': '0.8017', 'visual_loss': '2.624', 'seg_loss': '0.5265', 'dino_loss': '0.8616', 'depth_loss': '0.1443', 'vggt_mse_loss': '0.1432', 'vggt_cos_loss': '0.01042', 'pidinet_loss': '0.3886', 'siglip_loss': '0.7034', 'epoch': '0.3037'} + 94%|██████████████████████████████ | 8443/9000 [7:21:08<25:19, 2.73s/it][Dataset] cur_step=8444 phase=D_mixed_covt[Dataset] cur_step=8444 phase=D_mixed_covt + +[Dataset] cur_step=8444 phase=D_mixed_covt +[Dataset] cur_step=8444 phase=D_mixed_covt +[Dataset] cur_step=8444 phase=D_mixed_covt +[Dataset] cur_step=8444 phase=D_mixed_covt +[Dataset] cur_step=8444 phase=D_mixed_covt +[Dataset] cur_step=8444 phase=D_mixed_covt + 94%|██████████████████████████████ | 8444/9000 [7:21:08<27:25, 2.96s/it] {'loss': '3.25', 'grad_norm': '3.476', 'learning_rate': '5.199e-07', 'epoch': '0.3038'} + 94%|██████████████████████████████ | 8444/9000 [7:21:08<27:25, 2.96s/it] {'lm_loss': '0.7293', 'visual_loss': '1.492', 'seg_loss': '0.8172', 'dino_loss': '0', 'depth_loss': '0.2251', 'vggt_mse_loss': '0.2233', 'vggt_cos_loss': '0.01803', 'pidinet_loss': '0', 'siglip_loss': '0.4498', 'epoch': '0.3038'} + 94%|██████████████████████████████ | 8444/9000 [7:21:10<27:25, 2.96s/it][Dataset] cur_step=8445 phase=D_mixed_covt +[Dataset] cur_step=8445 phase=D_mixed_covt +[Dataset] cur_step=8445 phase=D_mixed_covt +[Dataset] cur_step=8445 phase=D_mixed_covt 94%|██████████████████████████████ | 8445/9000 [7:21:10<23:56, 2.59s/it] +[Dataset] cur_step=8445 phase=D_mixed_covt +[Dataset] cur_step=8445 phase=D_mixed_covt +[Dataset] cur_step=8445 phase=D_mixed_covt +[Dataset] cur_step=8445 phase=D_mixed_covt + {'loss': '2.353', 'grad_norm': '4.629', 'learning_rate': '5.18e-07', 'epoch': '0.3038'} + 94%|██████████████████████████████ | 8445/9000 [7:21:10<23:56, 2.59s/it] {'lm_loss': '0.09768', 'visual_loss': '2.536', 'seg_loss': '0.6363', 'dino_loss': '0.8915', 'depth_loss': '0.3424', 'vggt_mse_loss': '0.3405', 'vggt_cos_loss': '0.0183', 'pidinet_loss': '0.2116', 'siglip_loss': '0.4543', 'epoch': '0.3038'} + 94%|██████████████████████████████ | 8445/9000 [7:21:14<23:56, 2.59s/it][Dataset] cur_step=8446 phase=D_mixed_covt +[Dataset] cur_step=8446 phase=D_mixed_covt +[Dataset] cur_step=8446 phase=D_mixed_covt[Dataset] cur_step=8446 phase=D_mixed_covt + + 94%|██████████████████████████████ | 8446/9000 [7:21:14<28:34, 3.09s/it][Dataset] cur_step=8446 phase=D_mixed_covt +[Dataset] cur_step=8446 phase=D_mixed_covt +[Dataset] cur_step=8446 phase=D_mixed_covt +[Dataset] cur_step=8446 phase=D_mixed_covt + {'loss': '2.969', 'grad_norm': '3.264', 'learning_rate': '5.162e-07', 'epoch': '0.3038'} + 94%|██████████████████████████████ | 8446/9000 [7:21:14<28:34, 3.09s/it] {'lm_loss': '1.042', 'visual_loss': '2.616', 'seg_loss': '0.7125', 'dino_loss': '0.8884', 'depth_loss': '0.1811', 'vggt_mse_loss': '0.18', 'vggt_cos_loss': '0.01144', 'pidinet_loss': '0.1417', 'siglip_loss': '0.6921', 'epoch': '0.3038'} + 94%|██████████████████████████████ | 8446/9000 [7:21:17<28:34, 3.09s/it][Dataset] cur_step=8447 phase=D_mixed_covt[Dataset] cur_step=8447 phase=D_mixed_covt +[Dataset] cur_step=8447 phase=D_mixed_covt + +[Dataset] cur_step=8447 phase=D_mixed_covt +[Dataset] cur_step=8447 phase=D_mixed_covt[Dataset] cur_step=8447 phase=D_mixed_covt +[Dataset] cur_step=8447 phase=D_mixed_covt + + 94%|██████████████████████████████ | 8447/9000 [7:21:19<32:26, 3.52s/it][Dataset] cur_step=8447 phase=D_mixed_covt + {'loss': '3.196', 'grad_norm': '3.147', 'learning_rate': '5.143e-07', 'epoch': '0.3039'} + 94%|██████████████████████████████ | 8447/9000 [7:21:19<32:26, 3.52s/it] {'lm_loss': '0.09265', 'visual_loss': '1.75', 'seg_loss': '0', 'dino_loss': '0.9138', 'depth_loss': '0.235', 'vggt_mse_loss': '0.2338', 'vggt_cos_loss': '0.01194', 'pidinet_loss': '0.2316', 'siglip_loss': '0.3694', 'epoch': '0.3039'} + 94%|██████████████████████████████ | 8447/9000 [7:21:19<32:26, 3.52s/it][Dataset] cur_step=8448 phase=D_mixed_covt +[Dataset] cur_step=8448 phase=D_mixed_covt[Dataset] cur_step=8448 phase=D_mixed_covt + +[Dataset] cur_step=8448 phase=D_mixed_covt +[Dataset] cur_step=8448 phase=D_mixed_covt + 94%|██████████████████████████████ | 8448/9000 [7:21:20<25:54, 2.82s/it][Dataset] cur_step=8448 phase=D_mixed_covt +[Dataset] cur_step=8448 phase=D_mixed_covt +[Dataset] cur_step=8448 phase=D_mixed_covt + {'loss': '2.509', 'grad_norm': '5.013', 'learning_rate': '5.125e-07', 'epoch': '0.3039'} + 94%|██████████████████████████████ | 8448/9000 [7:21:20<25:54, 2.82s/it] {'lm_loss': '0.3515', 'visual_loss': '2.609', 'seg_loss': '0.7763', 'dino_loss': '0.9035', 'depth_loss': '0.2657', 'vggt_mse_loss': '0.2638', 'vggt_cos_loss': '0.01888', 'pidinet_loss': '0.2457', 'siglip_loss': '0.4178', 'epoch': '0.3039'} + 94%|██████████████████████████████ | 8448/9000 [7:21:23<25:54, 2.82s/it][Dataset] cur_step=8449 phase=D_mixed_covt +[Dataset] cur_step=8449 phase=D_mixed_covt[Dataset] cur_step=8449 phase=D_mixed_covt + +[Dataset] cur_step=8449 phase=D_mixed_covt + 94%|██████████████████████████████ | 8449/9000 [7:21:23<27:05, 2.95s/it][Dataset] cur_step=8449 phase=D_mixed_covt +[Dataset] cur_step=8449 phase=D_mixed_covt +[Dataset] cur_step=8449 phase=D_mixed_covt +[Dataset] cur_step=8449 phase=D_mixed_covt + {'loss': '3.064', 'grad_norm': '20.09', 'learning_rate': '5.106e-07', 'epoch': '0.304'} + 94%|██████████████████████████████ | 8449/9000 [7:21:23<27:05, 2.95s/it] {'lm_loss': '0.4582', 'visual_loss': '2.182', 'seg_loss': '0.5625', 'dino_loss': '0.907', 'depth_loss': '0.2446', 'vggt_mse_loss': '0.2425', 'vggt_cos_loss': '0.02072', 'pidinet_loss': '0.1907', 'siglip_loss': '0.277', 'epoch': '0.304'} + 94%|██████████████████████████████ | 8449/9000 [7:21:24<27:05, 2.95s/it][Dataset] cur_step=8450 phase=D_mixed_covt +[Dataset] cur_step=8450 phase=D_mixed_covt[Dataset] cur_step=8450 phase=D_mixed_covt + +[Dataset] cur_step=8450 phase=D_mixed_covt[Dataset] cur_step=8450 phase=D_mixed_covt + +[Dataset] cur_step=8450 phase=D_mixed_covt +[Dataset] cur_step=8450 phase=D_mixed_covt +[Dataset] cur_step=8450 phase=D_mixed_covt + 94%|██████████████████████████████ | 8450/9000 [7:21:25<23:42, 2.59s/it] {'loss': '3.411', 'grad_norm': '4.485', 'learning_rate': '5.088e-07', 'epoch': '0.304'} + 94%|██████████████████████████████ | 8450/9000 [7:21:25<23:42, 2.59s/it] {'lm_loss': '0.08609', 'visual_loss': '2.606', 'seg_loss': '0.5493', 'dino_loss': '0.9148', 'depth_loss': '0.2151', 'vggt_mse_loss': '0.2136', 'vggt_cos_loss': '0.0147', 'pidinet_loss': '0.2856', 'siglip_loss': '0.6411', 'epoch': '0.304'} + 94%|██████████████████████████████ | 8450/9000 [7:21:26<23:42, 2.59s/it][Dataset] cur_step=8451 phase=D_mixed_covt +[Dataset] cur_step=8451 phase=D_mixed_covt +[Dataset] cur_step=8451 phase=D_mixed_covt[Dataset] cur_step=8451 phase=D_mixed_covt +[Dataset] cur_step=8451 phase=D_mixed_covt + + 94%|██████████████████████████████ | 8451/9000 [7:21:27<21:49, 2.39s/it][Dataset] cur_step=8451 phase=D_mixed_covt +[Dataset] cur_step=8451 phase=D_mixed_covt +[Dataset] cur_step=8451 phase=D_mixed_covt + {'loss': '3.018', 'grad_norm': '3.235', 'learning_rate': '5.069e-07', 'epoch': '0.304'} + 94%|██████████████████████████████ | 8451/9000 [7:21:27<21:49, 2.39s/it] {'lm_loss': '0.6107', 'visual_loss': '2.515', 'seg_loss': '0.6757', 'dino_loss': '0.9084', 'depth_loss': '0.2015', 'vggt_mse_loss': '0.2002', 'vggt_cos_loss': '0.01266', 'pidinet_loss': '0.2821', 'siglip_loss': '0.4474', 'epoch': '0.304'} + 94%|██████████████████████████████ | 8451/9000 [7:21:28<21:49, 2.39s/it][Dataset] cur_step=8452 phase=D_mixed_covt[Dataset] cur_step=8452 phase=D_mixed_covt +[Dataset] cur_step=8452 phase=D_mixed_covt + + 94%|██████████████████████████████ | 8452/9000 [7:21:29<20:17, 2.22s/it][Dataset] cur_step=8452 phase=D_mixed_covt +[Dataset] cur_step=8452 phase=D_mixed_covt[Dataset] cur_step=8452 phase=D_mixed_covt + +[Dataset] cur_step=8452 phase=D_mixed_covt +[Dataset] cur_step=8452 phase=D_mixed_covt + {'loss': '3.307', 'grad_norm': '2.73', 'learning_rate': '5.051e-07', 'epoch': '0.3041'} + 94%|██████████████████████████████ | 8452/9000 [7:21:29<20:17, 2.22s/it] {'lm_loss': '0.1021', 'visual_loss': '1.973', 'seg_loss': '0.7588', 'dino_loss': '0.8721', 'depth_loss': '0.1989', 'vggt_mse_loss': '0.1974', 'vggt_cos_loss': '0.01455', 'pidinet_loss': '0.1434', 'siglip_loss': '0', 'epoch': '0.3041'} + 94%|██████████████████████████████ | 8452/9000 [7:21:31<20:17, 2.22s/it][Dataset] cur_step=8453 phase=D_mixed_covt[Dataset] cur_step=8453 phase=D_mixed_covt + +[Dataset] cur_step=8453 phase=D_mixed_covt +[Dataset] cur_step=8453 phase=D_mixed_covt[Dataset] cur_step=8453 phase=D_mixed_covt + + 94%|██████████████████████████████ | 8453/9000 [7:21:31<21:22, 2.35s/it][Dataset] cur_step=8453 phase=D_mixed_covt +[Dataset] cur_step=8453 phase=D_mixed_covt +[Dataset] cur_step=8453 phase=D_mixed_covt + {'loss': '2.71', 'grad_norm': '2.859', 'learning_rate': '5.033e-07', 'epoch': '0.3041'} + 94%|██████████████████████████████ | 8453/9000 [7:21:31<21:22, 2.35s/it] {'lm_loss': '0.4251', 'visual_loss': '2.445', 'seg_loss': '0.7358', 'dino_loss': '0.9294', 'depth_loss': '0.2501', 'vggt_mse_loss': '0.2484', 'vggt_cos_loss': '0.01775', 'pidinet_loss': '0.1195', 'siglip_loss': '0.4104', 'epoch': '0.3041'} + 94%|██████████████████████████████ | 8453/9000 [7:21:34<21:22, 2.35s/it][Dataset] cur_step=8454 phase=D_mixed_covt +[Dataset] cur_step=8454 phase=D_mixed_covt[Dataset] cur_step=8454 phase=D_mixed_covt[Dataset] cur_step=8454 phase=D_mixed_covt + + +[Dataset] cur_step=8454 phase=D_mixed_covt +[Dataset] cur_step=8454 phase=D_mixed_covt +[Dataset] cur_step=8454 phase=D_mixed_covt + 94%|██████████████████████████████ | 8454/9000 [7:21:36<26:39, 2.93s/it][Dataset] cur_step=8454 phase=D_mixed_covt + {'loss': '3.336', 'grad_norm': '4.204', 'learning_rate': '5.014e-07', 'epoch': '0.3041'} + 94%|██████████████████████████████ | 8454/9000 [7:21:36<26:39, 2.93s/it] {'lm_loss': '1.104', 'visual_loss': '1.174', 'seg_loss': '0.868', 'dino_loss': '0', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.1744', 'siglip_loss': '0.1321', 'epoch': '0.3041'} + 94%|██████████████████████████████ | 8454/9000 [7:21:37<26:39, 2.93s/it][Dataset] cur_step=8455 phase=D_mixed_covt[Dataset] cur_step=8455 phase=D_mixed_covt + +[Dataset] cur_step=8455 phase=D_mixed_covt +[Dataset] cur_step=8455 phase=D_mixed_covt[Dataset] cur_step=8455 phase=D_mixed_covt + +[Dataset] cur_step=8455 phase=D_mixed_covt[Dataset] cur_step=8455 phase=D_mixed_covt 94%|██████████████████████████████ | 8455/9000 [7:21:37<23:08, 2.55s/it] + +[Dataset] cur_step=8455 phase=D_mixed_covt + {'loss': '2.115', 'grad_norm': '3.565', 'learning_rate': '4.996e-07', 'epoch': '0.3042'} + 94%|██████████████████████████████ | 8455/9000 [7:21:37<23:08, 2.55s/it] {'lm_loss': '0.6207', 'visual_loss': '2.652', 'seg_loss': '0.7166', 'dino_loss': '0.918', 'depth_loss': '0.2626', 'vggt_mse_loss': '0.2603', 'vggt_cos_loss': '0.02349', 'pidinet_loss': '0.2291', 'siglip_loss': '0.526', 'epoch': '0.3042'} + 94%|██████████████████████████████ | 8455/9000 [7:21:40<23:08, 2.55s/it][Dataset] cur_step=8456 phase=D_mixed_covt +[Dataset] cur_step=8456 phase=D_mixed_covt +[Dataset] cur_step=8456 phase=D_mixed_covt + 94%|██████████████████████████████ | 8456/9000 [7:21:41<25:41, 2.83s/it][Dataset] cur_step=8456 phase=D_mixed_covt +[Dataset] cur_step=8456 phase=D_mixed_covt +[Dataset] cur_step=8456 phase=D_mixed_covt +[Dataset] cur_step=8456 phase=D_mixed_covt +[Dataset] cur_step=8456 phase=D_mixed_covt + {'loss': '3.327', 'grad_norm': '2.394', 'learning_rate': '4.978e-07', 'epoch': '0.3042'} + 94%|██████████████████████████████ | 8456/9000 [7:21:41<25:41, 2.83s/it] {'lm_loss': '1.271', 'visual_loss': '1.925', 'seg_loss': '0.7475', 'dino_loss': '0.8505', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.3269', 'siglip_loss': '0', 'epoch': '0.3042'} + 94%|██████████████████████████████ | 8456/9000 [7:21:43<25:41, 2.83s/it][Dataset] cur_step=8457 phase=D_mixed_covt +[Dataset] cur_step=8457 phase=D_mixed_covt +[Dataset] cur_step=8457 phase=D_mixed_covt[Dataset] cur_step=8457 phase=D_mixed_covt + +[Dataset] cur_step=8457 phase=D_mixed_covt +[Dataset] cur_step=8457 phase=D_mixed_covt[Dataset] cur_step=8457 phase=D_mixed_covt + + 94%|██████████████████████████████ | 8457/9000 [7:21:44<26:01, 2.88s/it][Dataset] cur_step=8457 phase=D_mixed_covt + {'loss': '2.528', 'grad_norm': '3.025', 'learning_rate': '4.959e-07', 'epoch': '0.3042'} + 94%|██████████████████████████████ | 8457/9000 [7:21:44<26:01, 2.88s/it] {'lm_loss': '0.6996', 'visual_loss': '2.548', 'seg_loss': '0.6319', 'dino_loss': '0.9173', 'depth_loss': '0.1218', 'vggt_mse_loss': '0.1209', 'vggt_cos_loss': '0.008895', 'pidinet_loss': '0.2311', 'siglip_loss': '0.6462', 'epoch': '0.3042'} + 94%|██████████████████████████████ | 8457/9000 [7:21:46<26:01, 2.88s/it][Dataset] cur_step=8458 phase=D_mixed_covt +[Dataset] cur_step=8458 phase=D_mixed_covt[Dataset] cur_step=8458 phase=D_mixed_covt + +[Dataset] cur_step=8458 phase=D_mixed_covt +[Dataset] cur_step=8458 phase=D_mixed_covt +[Dataset] cur_step=8458 phase=D_mixed_covt + 94%|██████████████████████████████ | 8458/9000 [7:21:47<26:29, 2.93s/it][Dataset] cur_step=8458 phase=D_mixed_covt +[Dataset] cur_step=8458 phase=D_mixed_covt + {'loss': '3.357', 'grad_norm': '2.249', 'learning_rate': '4.941e-07', 'epoch': '0.3043'} + 94%|██████████████████████████████ | 8458/9000 [7:21:47<26:29, 2.93s/it] {'lm_loss': '1.294', 'visual_loss': '1.967', 'seg_loss': '0.2929', 'dino_loss': '0.8892', 'depth_loss': '0.1566', 'vggt_mse_loss': '0.1556', 'vggt_cos_loss': '0.009536', 'pidinet_loss': '0.1398', 'siglip_loss': '0.4881', 'epoch': '0.3043'} + 94%|██████████████████████████████ | 8458/9000 [7:21:48<26:29, 2.93s/it][Dataset] cur_step=8459 phase=D_mixed_covt +[Dataset] cur_step=8459 phase=D_mixed_covt +[Dataset] cur_step=8459 phase=D_mixed_covt +[Dataset] cur_step=8459 phase=D_mixed_covt[Dataset] cur_step=8459 phase=D_mixed_covt[Dataset] cur_step=8459 phase=D_mixed_covt + +[Dataset] cur_step=8459 phase=D_mixed_covt + + 94%|██████████████████████████████ | 8459/9000 [7:21:49<24:00, 2.66s/it][Dataset] cur_step=8459 phase=D_mixed_covt + {'loss': '3.319', 'grad_norm': '7.081', 'learning_rate': '4.923e-07', 'epoch': '0.3043'} + 94%|██████████████████████████████ | 8459/9000 [7:21:49<24:00, 2.66s/it] {'lm_loss': '1.11', 'visual_loss': '2.621', 'seg_loss': '0.7928', 'dino_loss': '0.9045', 'depth_loss': '0.2504', 'vggt_mse_loss': '0.2485', 'vggt_cos_loss': '0.01952', 'pidinet_loss': '0.2269', 'siglip_loss': '0.4466', 'epoch': '0.3043'} + 94%|██████████████████████████████ | 8459/9000 [7:21:51<24:00, 2.66s/it][Dataset] cur_step=8460 phase=D_mixed_covt +[Dataset] cur_step=8460 phase=D_mixed_covt +[Dataset] cur_step=8460 phase=D_mixed_covt +[Dataset] cur_step=8460 phase=D_mixed_covt +[Dataset] cur_step=8460 phase=D_mixed_covt +[Dataset] cur_step=8460 phase=D_mixed_covt +[Dataset] cur_step=8460 phase=D_mixed_covt +[Dataset] cur_step=8460 phase=D_mixed_covt + 94%|██████████████████████████████ | 8460/9000 [7:21:51<23:55, 2.66s/it] {'loss': '3.398', 'grad_norm': '2.561', 'learning_rate': '4.905e-07', 'epoch': '0.3043'} + 94%|██████████████████████████████ | 8460/9000 [7:21:51<23:55, 2.66s/it] {'lm_loss': '0.6783', 'visual_loss': '3.169', 'seg_loss': '0.7754', 'dino_loss': '0.9326', 'depth_loss': '0.2921', 'vggt_mse_loss': '0.2898', 'vggt_cos_loss': '0.02288', 'pidinet_loss': '0.1803', 'siglip_loss': '0.9883', 'epoch': '0.3043'} + 94%|██████████████████████████████ | 8460/9000 [7:21:53<23:55, 2.66s/it][Dataset] cur_step=8461 phase=D_mixed_covt +[Dataset] cur_step=8461 phase=D_mixed_covt +[Dataset] cur_step=8461 phase=D_mixed_covt[Dataset] cur_step=8461 phase=D_mixed_covt + +[Dataset] cur_step=8461 phase=D_mixed_covt + 94%|██████████████████████████████ | 8461/9000 [7:21:54<24:07, 2.69s/it][Dataset] cur_step=8461 phase=D_mixed_covt +[Dataset] cur_step=8461 phase=D_mixed_covt +[Dataset] cur_step=8461 phase=D_mixed_covt + {'loss': '3.103', 'grad_norm': '6.472', 'learning_rate': '4.887e-07', 'epoch': '0.3044'} + 94%|██████████████████████████████ | 8461/9000 [7:21:54<24:07, 2.69s/it] {'lm_loss': '0.3821', 'visual_loss': '2.724', 'seg_loss': '0.7196', 'dino_loss': '0.9034', 'depth_loss': '0.3131', 'vggt_mse_loss': '0.3102', 'vggt_cos_loss': '0.02873', 'pidinet_loss': '0.2506', 'siglip_loss': '0.5372', 'epoch': '0.3044'} + 94%|██████████████████████████████ | 8461/9000 [7:21:57<24:07, 2.69s/it][Dataset] cur_step=8462 phase=D_mixed_covt +[Dataset] cur_step=8462 phase=D_mixed_covt[Dataset] cur_step=8462 phase=D_mixed_covt + +[Dataset] cur_step=8462 phase=D_mixed_covt[Dataset] cur_step=8462 phase=D_mixed_covt + +[Dataset] cur_step=8462 phase=D_mixed_covt +[Dataset] cur_step=8462 phase=D_mixed_covt + 94%|██████████████████████████████ | 8462/9000 [7:21:57<24:54, 2.78s/it][Dataset] cur_step=8462 phase=D_mixed_covt + {'loss': '3.106', 'grad_norm': '3.226', 'learning_rate': '4.869e-07', 'epoch': '0.3044'} + 94%|██████████████████████████████ | 8462/9000 [7:21:57<24:54, 2.78s/it] {'lm_loss': '0.6282', 'visual_loss': '2.807', 'seg_loss': '0.8271', 'dino_loss': '0.9401', 'depth_loss': '0.2681', 'vggt_mse_loss': '0.2663', 'vggt_cos_loss': '0.01828', 'pidinet_loss': '0.2535', 'siglip_loss': '0.5179', 'epoch': '0.3044'} + 94%|██████████████████████████████ | 8462/9000 [7:22:00<24:54, 2.78s/it][Dataset] cur_step=8463 phase=D_mixed_covt +[Dataset] cur_step=8463 phase=D_mixed_covt +[Dataset] cur_step=8463 phase=D_mixed_covt +[Dataset] cur_step=8463 phase=D_mixed_covt +[Dataset] cur_step=8463 phase=D_mixed_covt +[Dataset] cur_step=8463 phase=D_mixed_covt +[Dataset] cur_step=8463 phase=D_mixed_covt + 94%|██████████████████████████████ | 8463/9000 [7:22:01<26:51, 3.00s/it][Dataset] cur_step=8463 phase=D_mixed_covt + {'loss': '3.305', 'grad_norm': '8.709', 'learning_rate': '4.851e-07', 'epoch': '0.3045'} + 94%|██████████████████████████████ | 8463/9000 [7:22:01<26:51, 3.00s/it] {'lm_loss': '0.636', 'visual_loss': '2.173', 'seg_loss': '0.7836', 'dino_loss': '0.9353', 'depth_loss': '0.2', 'vggt_mse_loss': '0.1989', 'vggt_cos_loss': '0.01032', 'pidinet_loss': '0.2547', 'siglip_loss': '0', 'epoch': '0.3045'} + 94%|██████████████████████████████ | 8463/9000 [7:22:03<26:51, 3.00s/it][Dataset] cur_step=8464 phase=D_mixed_covt +[Dataset] cur_step=8464 phase=D_mixed_covt +[Dataset] cur_step=8464 phase=D_mixed_covt +[Dataset] cur_step=8464 phase=D_mixed_covt +[Dataset] cur_step=8464 phase=D_mixed_covt[Dataset] cur_step=8464 phase=D_mixed_covt + +[Dataset] cur_step=8464 phase=D_mixed_covt + 94%|██████████████████████████████ | 8464/9000 [7:22:04<28:23, 3.18s/it][Dataset] cur_step=8464 phase=D_mixed_covt + {'loss': '2.646', 'grad_norm': '2.065', 'learning_rate': '4.833e-07', 'epoch': '0.3045'} + 94%|██████████████████████████████ | 8464/9000 [7:22:04<28:23, 3.18s/it] {'lm_loss': '0.3733', 'visual_loss': '2.722', 'seg_loss': '0.7573', 'dino_loss': '0.8675', 'depth_loss': '0.1823', 'vggt_mse_loss': '0.1809', 'vggt_cos_loss': '0.01441', 'pidinet_loss': '0.2678', 'siglip_loss': '0.6467', 'epoch': '0.3045'} + 94%|██████████████████████████████ | 8464/9000 [7:22:06<28:23, 3.18s/it][Dataset] cur_step=8465 phase=D_mixed_covt[Dataset] cur_step=8465 phase=D_mixed_covt + +[Dataset] cur_step=8465 phase=D_mixed_covt[Dataset] cur_step=8465 phase=D_mixed_covt + +[Dataset] cur_step=8465 phase=D_mixed_covt + 94%|██████████████████████████████ | 8465/9000 [7:22:07<26:37, 2.99s/it][Dataset] cur_step=8465 phase=D_mixed_covt +[Dataset] cur_step=8465 phase=D_mixed_covt +[Dataset] cur_step=8465 phase=D_mixed_covt + {'loss': '3.252', 'grad_norm': '6.218', 'learning_rate': '4.815e-07', 'epoch': '0.3045'} + 94%|██████████████████████████████ | 8465/9000 [7:22:07<26:37, 2.99s/it] {'lm_loss': '0.6776', 'visual_loss': '2.56', 'seg_loss': '0.8119', 'dino_loss': '0.9039', 'depth_loss': '0.27', 'vggt_mse_loss': '0.2679', 'vggt_cos_loss': '0.02008', 'pidinet_loss': '0.2136', 'siglip_loss': '0.3607', 'epoch': '0.3045'} + 94%|██████████████████████████████ | 8465/9000 [7:22:10<26:37, 2.99s/it][Dataset] cur_step=8466 phase=D_mixed_covt +[Dataset] cur_step=8466 phase=D_mixed_covt +[Dataset] cur_step=8466 phase=D_mixed_covt +[Dataset] cur_step=8466 phase=D_mixed_covt 94%|██████████████████████████████ | 8466/9000 [7:22:14<37:29, 4.21s/it] +[Dataset] cur_step=8466 phase=D_mixed_covt +[Dataset] cur_step=8466 phase=D_mixed_covt +[Dataset] cur_step=8466 phase=D_mixed_covt +[Dataset] cur_step=8466 phase=D_mixed_covt + {'loss': '3.42', 'grad_norm': '6.188', 'learning_rate': '4.797e-07', 'epoch': '0.3046'} + 94%|██████████████████████████████ | 8466/9000 [7:22:14<37:29, 4.21s/it] {'lm_loss': '0.5551', 'visual_loss': '3.068', 'seg_loss': '0.8267', 'dino_loss': '0.8365', 'depth_loss': '0.6142', 'vggt_mse_loss': '0.6114', 'vggt_cos_loss': '0.02827', 'pidinet_loss': '0.2569', 'siglip_loss': '0.5342', 'epoch': '0.3046'} + 94%|██████████████████████████████ | 8466/9000 [7:22:16<37:29, 4.21s/it][Dataset] cur_step=8467 phase=D_mixed_covt +[Dataset] cur_step=8467 phase=D_mixed_covt[Dataset] cur_step=8467 phase=D_mixed_covt + +[Dataset] cur_step=8467 phase=D_mixed_covt[Dataset] cur_step=8467 phase=D_mixed_covt[Dataset] cur_step=8467 phase=D_mixed_covt + + +[Dataset] cur_step=8467 phase=D_mixed_covt + 94%|██████████████████████████████ | 8467/9000 [7:22:17<35:13, 3.96s/it][Dataset] cur_step=8467 phase=D_mixed_covt + {'loss': '3.082', 'grad_norm': '3.246', 'learning_rate': '4.779e-07', 'epoch': '0.3046'} + 94%|██████████████████████████████ | 8467/9000 [7:22:17<35:13, 3.96s/it] {'lm_loss': '0.6298', 'visual_loss': '2.533', 'seg_loss': '0.5821', 'dino_loss': '0.9048', 'depth_loss': '0.2548', 'vggt_mse_loss': '0.253', 'vggt_cos_loss': '0.01839', 'pidinet_loss': '0.1984', 'siglip_loss': '0.5929', 'epoch': '0.3046'} + 94%|██████████████████████████████ | 8467/9000 [7:22:21<35:13, 3.96s/it][Dataset] cur_step=8468 phase=D_mixed_covt +[Dataset] cur_step=8468 phase=D_mixed_covt +[Dataset] cur_step=8468 phase=D_mixed_covt +[Dataset] cur_step=8468 phase=D_mixed_covt 94%|██████████████████████████████ | 8468/9000 [7:22:21<34:46, 3.92s/it][Dataset] cur_step=8468 phase=D_mixed_covt + +[Dataset] cur_step=8468 phase=D_mixed_covt +[Dataset] cur_step=8468 phase=D_mixed_covt +[Dataset] cur_step=8468 phase=D_mixed_covt + {'loss': '3.334', 'grad_norm': '3.937', 'learning_rate': '4.761e-07', 'epoch': '0.3046'} + 94%|██████████████████████████████ | 8468/9000 [7:22:21<34:46, 3.92s/it] {'lm_loss': '0.911', 'visual_loss': '2.608', 'seg_loss': '0.7377', 'dino_loss': '0.9161', 'depth_loss': '0.3248', 'vggt_mse_loss': '0.3222', 'vggt_cos_loss': '0.02615', 'pidinet_loss': '0.1855', 'siglip_loss': '0.4438', 'epoch': '0.3046'} + 94%|██████████████████████████████ | 8468/9000 [7:22:23<34:46, 3.92s/it][Dataset] cur_step=8469 phase=D_mixed_covt[Dataset] cur_step=8469 phase=D_mixed_covt + +[Dataset] cur_step=8469 phase=D_mixed_covt + 94%|██████████████████████████████ | 8469/9000 [7:22:24<31:07, 3.52s/it][Dataset] cur_step=8469 phase=D_mixed_covt +[Dataset] cur_step=8469 phase=D_mixed_covt +[Dataset] cur_step=8469 phase=D_mixed_covt +[Dataset] cur_step=8469 phase=D_mixed_covt +[Dataset] cur_step=8469 phase=D_mixed_covt + {'loss': '3.438', 'grad_norm': '7.491', 'learning_rate': '4.743e-07', 'epoch': '0.3047'} + 94%|██████████████████████████████ | 8469/9000 [7:22:24<31:07, 3.52s/it] {'lm_loss': '0.3776', 'visual_loss': '2.464', 'seg_loss': '0.784', 'dino_loss': '0.835', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.3434', 'siglip_loss': '0.5011', 'epoch': '0.3047'} + 94%|██████████████████████████████ | 8469/9000 [7:22:25<31:07, 3.52s/it][Dataset] cur_step=8470 phase=D_mixed_covt + 94%|██████████████████████████████ | 8470/9000 [7:22:25<25:45, 2.92s/it][Dataset] cur_step=8470 phase=D_mixed_covt +[Dataset] cur_step=8470 phase=D_mixed_covt +[Dataset] cur_step=8470 phase=D_mixed_covt[Dataset] cur_step=8470 phase=D_mixed_covt[Dataset] cur_step=8470 phase=D_mixed_covt + + +[Dataset] cur_step=8470 phase=D_mixed_covt +[Dataset] cur_step=8470 phase=D_mixed_covt + {'loss': '2.999', 'grad_norm': '6.219', 'learning_rate': '4.726e-07', 'epoch': '0.3047'} + 94%|██████████████████████████████ | 8470/9000 [7:22:25<25:45, 2.92s/it] {'lm_loss': '0.7537', 'visual_loss': '2.632', 'seg_loss': '0.8149', 'dino_loss': '0.8922', 'depth_loss': '0.2455', 'vggt_mse_loss': '0.2431', 'vggt_cos_loss': '0.02357', 'pidinet_loss': '0.2314', 'siglip_loss': '0.448', 'epoch': '0.3047'} + 94%|██████████████████████████████ | 8470/9000 [7:22:28<25:45, 2.92s/it][Dataset] cur_step=8471 phase=D_mixed_covt + 94%|██████████████████████████████ | 8471/9000 [7:22:29<26:35, 3.02s/it][Dataset] cur_step=8471 phase=D_mixed_covt[Dataset] cur_step=8471 phase=D_mixed_covt + +[Dataset] cur_step=8471 phase=D_mixed_covt[Dataset] cur_step=8471 phase=D_mixed_covt + +[Dataset] cur_step=8471 phase=D_mixed_covt +[Dataset] cur_step=8471 phase=D_mixed_covt +[Dataset] cur_step=8471 phase=D_mixed_covt + {'loss': '3.166', 'grad_norm': '14.36', 'learning_rate': '4.708e-07', 'epoch': '0.3047'} + 94%|██████████████████████████████ | 8471/9000 [7:22:29<26:35, 3.02s/it] {'lm_loss': '0.5446', 'visual_loss': '2.291', 'seg_loss': '0.6655', 'dino_loss': '0.8793', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.265', 'siglip_loss': '0.4814', 'epoch': '0.3047'} + 94%|██████████████████████████████ | 8471/9000 [7:22:31<26:35, 3.02s/it][Dataset] cur_step=8472 phase=D_mixed_covt +[Dataset] cur_step=8472 phase=D_mixed_covt[Dataset] cur_step=8472 phase=D_mixed_covt + + 94%|██████████████████████████████ | 8472/9000 [7:22:32<26:46, 3.04s/it][Dataset] cur_step=8472 phase=D_mixed_covt[Dataset] cur_step=8472 phase=D_mixed_covt + +[Dataset] cur_step=8472 phase=D_mixed_covt +[Dataset] cur_step=8472 phase=D_mixed_covt +[Dataset] cur_step=8472 phase=D_mixed_covt + {'loss': '3.138', 'grad_norm': '2.771', 'learning_rate': '4.69e-07', 'epoch': '0.3048'} + 94%|██████████████████████████████ | 8472/9000 [7:22:32<26:46, 3.04s/it] {'lm_loss': '0.609', 'visual_loss': '2.433', 'seg_loss': '0.704', 'dino_loss': '0.8962', 'depth_loss': '0.2303', 'vggt_mse_loss': '0.2284', 'vggt_cos_loss': '0.01815', 'pidinet_loss': '0.1457', 'siglip_loss': '0.4569', 'epoch': '0.3048'} + 94%|██████████████████████████████ | 8472/9000 [7:22:33<26:46, 3.04s/it][Dataset] cur_step=8473 phase=D_mixed_covt[Dataset] cur_step=8473 phase=D_mixed_covt[Dataset] cur_step=8473 phase=D_mixed_covt + + +[Dataset] cur_step=8473 phase=D_mixed_covt +[Dataset] cur_step=8473 phase=D_mixed_covt +[Dataset] cur_step=8473 phase=D_mixed_covt + 94%|██████████████████████████████▏ | 8473/9000 [7:22:34<24:02, 2.74s/it][Dataset] cur_step=8473 phase=D_mixed_covt +[Dataset] cur_step=8473 phase=D_mixed_covt + {'loss': '3.492', 'grad_norm': '3.955', 'learning_rate': '4.672e-07', 'epoch': '0.3048'} + 94%|██████████████████████████████▏ | 8473/9000 [7:22:34<24:02, 2.74s/it] {'lm_loss': '0.7815', 'visual_loss': '2.818', 'seg_loss': '0.9044', 'dino_loss': '0.8005', 'depth_loss': '0.1834', 'vggt_mse_loss': '0.1821', 'vggt_cos_loss': '0.01287', 'pidinet_loss': '0.2445', 'siglip_loss': '0.6852', 'epoch': '0.3048'} + 94%|██████████████████████████████▏ | 8473/9000 [7:22:35<24:02, 2.74s/it][Dataset] cur_step=8474 phase=D_mixed_covt +[Dataset] cur_step=8474 phase=D_mixed_covt[Dataset] cur_step=8474 phase=D_mixed_covt + + 94%|██████████████████████████████▏ | 8474/9000 [7:22:36<23:33, 2.69s/it][Dataset] cur_step=8474 phase=D_mixed_covt +[Dataset] cur_step=8474 phase=D_mixed_covt +[Dataset] cur_step=8474 phase=D_mixed_covt +[Dataset] cur_step=8474 phase=D_mixed_covt +[Dataset] cur_step=8474 phase=D_mixed_covt + {'loss': '3.485', 'grad_norm': '2.457', 'learning_rate': '4.655e-07', 'epoch': '0.3049'} + 94%|██████████████████████████████▏ | 8474/9000 [7:22:36<23:33, 2.69s/it] {'lm_loss': '0.82', 'visual_loss': '2.856', 'seg_loss': '0.983', 'dino_loss': '0.9028', 'depth_loss': '0.2482', 'vggt_mse_loss': '0.2466', 'vggt_cos_loss': '0.01582', 'pidinet_loss': '0.2521', 'siglip_loss': '0.4697', 'epoch': '0.3049'} + 94%|██████████████████████████████▏ | 8474/9000 [7:22:38<23:33, 2.69s/it][Dataset] cur_step=8475 phase=D_mixed_covt +[Dataset] cur_step=8475 phase=D_mixed_covt +[Dataset] cur_step=8475 phase=D_mixed_covt +[Dataset] cur_step=8475 phase=D_mixed_covt +[Dataset] cur_step=8475 phase=D_mixed_covt[Dataset] cur_step=8475 phase=D_mixed_covt + + 94%|██████████████████████████████▏ | 8475/9000 [7:22:39<22:50, 2.61s/it][Dataset] cur_step=8475 phase=D_mixed_covt +[Dataset] cur_step=8475 phase=D_mixed_covt + {'loss': '3.38', 'grad_norm': '3.163', 'learning_rate': '4.637e-07', 'epoch': '0.3049'} + 94%|██████████████████████████████▏ | 8475/9000 [7:22:39<22:50, 2.61s/it] {'lm_loss': '0.4723', 'visual_loss': '2.764', 'seg_loss': '0.8212', 'dino_loss': '0.9069', 'depth_loss': '0.271', 'vggt_mse_loss': '0.269', 'vggt_cos_loss': '0.0194', 'pidinet_loss': '0.248', 'siglip_loss': '0.5166', 'epoch': '0.3049'} + 94%|██████████████████████████████▏ | 8475/9000 [7:22:41<22:50, 2.61s/it][Dataset] cur_step=8476 phase=D_mixed_covt +[Dataset] cur_step=8476 phase=D_mixed_covt[Dataset] cur_step=8476 phase=D_mixed_covt + +[Dataset] cur_step=8476 phase=D_mixed_covt +[Dataset] cur_step=8476 phase=D_mixed_covt +[Dataset] cur_step=8476 phase=D_mixed_covt +[Dataset] cur_step=8476 phase=D_mixed_covt +[Dataset] cur_step=8476 phase=D_mixed_covt + 94%|██████████████████████████████▏ | 8476/9000 [7:22:42<24:05, 2.76s/it] {'loss': '3.333', 'grad_norm': '4.975', 'learning_rate': '4.62e-07', 'epoch': '0.3049'} + 94%|██████████████████████████████▏ | 8476/9000 [7:22:42<24:05, 2.76s/it] {'lm_loss': '0.04436', 'visual_loss': '2.239', 'seg_loss': '0.6039', 'dino_loss': '0.8968', 'depth_loss': '0.1395', 'vggt_mse_loss': '0.1387', 'vggt_cos_loss': '0.007834', 'pidinet_loss': '0.214', 'siglip_loss': '0.385', 'epoch': '0.3049'} + 94%|██████████████████████████████▏ | 8476/9000 [7:22:45<24:05, 2.76s/it][Dataset] cur_step=8477 phase=D_mixed_covt +[Dataset] cur_step=8477 phase=D_mixed_covt 94%|██████████████████████████████▏ | 8477/9000 [7:22:46<27:30, 3.16s/it] +[Dataset] cur_step=8477 phase=D_mixed_covt +[Dataset] cur_step=8477 phase=D_mixed_covt +[Dataset] cur_step=8477 phase=D_mixed_covt +[Dataset] cur_step=8477 phase=D_mixed_covt +[Dataset] cur_step=8477 phase=D_mixed_covt +[Dataset] cur_step=8477 phase=D_mixed_covt + {'loss': '2.91', 'grad_norm': '2.264', 'learning_rate': '4.602e-07', 'epoch': '0.305'} + 94%|██████████████████████████████▏ | 8477/9000 [7:22:46<27:30, 3.16s/it] {'lm_loss': '0.7356', 'visual_loss': '2.612', 'seg_loss': '0.8424', 'dino_loss': '0.9375', 'depth_loss': '0.1952', 'vggt_mse_loss': '0.1938', 'vggt_cos_loss': '0.01438', 'pidinet_loss': '0.2474', 'siglip_loss': '0.3899', 'epoch': '0.305'} + 94%|██████████████████████████████▏ | 8477/9000 [7:22:48<27:30, 3.16s/it][Dataset] cur_step=8478 phase=D_mixed_covt +[Dataset] cur_step=8478 phase=D_mixed_covt +[Dataset] cur_step=8478 phase=D_mixed_covt[Dataset] cur_step=8478 phase=D_mixed_covt + +[Dataset] cur_step=8478 phase=D_mixed_covt +[Dataset] cur_step=8478 phase=D_mixed_covt + 94%|██████████████████████████████▏ | 8478/9000 [7:22:48<25:48, 2.97s/it][Dataset] cur_step=8478 phase=D_mixed_covt +[Dataset] cur_step=8478 phase=D_mixed_covt + {'loss': '3.165', 'grad_norm': '5.41', 'learning_rate': '4.584e-07', 'epoch': '0.305'} + 94%|██████████████████████████████▏ | 8478/9000 [7:22:48<25:48, 2.97s/it] {'lm_loss': '0.632', 'visual_loss': '2.576', 'seg_loss': '0.7699', 'dino_loss': '0.8923', 'depth_loss': '0.2155', 'vggt_mse_loss': '0.2139', 'vggt_cos_loss': '0.01553', 'pidinet_loss': '0.2095', 'siglip_loss': '0.4885', 'epoch': '0.305'} + 94%|██████████████████████████████▏ | 8478/9000 [7:22:51<25:48, 2.97s/it][Dataset] cur_step=8479 phase=D_mixed_covt +[Dataset] cur_step=8479 phase=D_mixed_covt +[Dataset] cur_step=8479 phase=D_mixed_covt +[Dataset] cur_step=8479 phase=D_mixed_covt[Dataset] cur_step=8479 phase=D_mixed_covt[Dataset] cur_step=8479 phase=D_mixed_covt + + +[Dataset] cur_step=8479 phase=D_mixed_covt + 94%|██████████████████████████████▏ | 8479/9000 [7:22:52<26:24, 3.04s/it][Dataset] cur_step=8479 phase=D_mixed_covt + {'loss': '3.257', 'grad_norm': '2.715', 'learning_rate': '4.567e-07', 'epoch': '0.305'} + 94%|██████████████████████████████▏ | 8479/9000 [7:22:52<26:24, 3.04s/it] {'lm_loss': '1.407', 'visual_loss': '2.76', 'seg_loss': '0.6231', 'dino_loss': '0.9639', 'depth_loss': '0.2924', 'vggt_mse_loss': '0.2903', 'vggt_cos_loss': '0.02123', 'pidinet_loss': '0.2343', 'siglip_loss': '0.6468', 'epoch': '0.305'} + 94%|██████████████████████████████▏ | 8479/9000 [7:22:54<26:24, 3.04s/it][Dataset] cur_step=8480 phase=D_mixed_covt +[Dataset] cur_step=8480 phase=D_mixed_covt +[Dataset] cur_step=8480 phase=D_mixed_covt +[Dataset] cur_step=8480 phase=D_mixed_covt[Dataset] cur_step=8480 phase=D_mixed_covt[Dataset] cur_step=8480 phase=D_mixed_covt + + + 94%|██████████████████████████████▏ | 8480/9000 [7:22:56<31:09, 3.60s/it][Dataset] cur_step=8480 phase=D_mixed_covt +[Dataset] cur_step=8480 phase=D_mixed_covt + {'loss': '3.623', 'grad_norm': '8.51', 'learning_rate': '4.549e-07', 'epoch': '0.3051'} + 94%|██████████████████████████████▏ | 8480/9000 [7:22:56<31:09, 3.60s/it] {'lm_loss': '0.698', 'visual_loss': '2.085', 'seg_loss': '0.7252', 'dino_loss': '0.909', 'depth_loss': '0.1487', 'vggt_mse_loss': '0.1476', 'vggt_cos_loss': '0.01098', 'pidinet_loss': '0.3025', 'siglip_loss': '0', 'epoch': '0.3051'} + 94%|██████████████████████████████▏ | 8480/9000 [7:22:58<31:09, 3.60s/it][Dataset] cur_step=8481 phase=D_mixed_covt +[Dataset] cur_step=8481 phase=D_mixed_covt[Dataset] cur_step=8481 phase=D_mixed_covt + +[Dataset] cur_step=8481 phase=D_mixed_covt +[Dataset] cur_step=8481 phase=D_mixed_covt +[Dataset] cur_step=8481 phase=D_mixed_covt + 94%|██████████████████████████████▏ | 8481/9000 [7:22:59<28:06, 3.25s/it][Dataset] cur_step=8481 phase=D_mixed_covt +[Dataset] cur_step=8481 phase=D_mixed_covt + {'loss': '2.635', 'grad_norm': '2.14', 'learning_rate': '4.532e-07', 'epoch': '0.3051'} + 94%|██████████████████████████████▏ | 8481/9000 [7:22:59<28:06, 3.25s/it] {'lm_loss': '0.8301', 'visual_loss': '2.922', 'seg_loss': '0.9304', 'dino_loss': '0.9052', 'depth_loss': '0.2293', 'vggt_mse_loss': '0.2275', 'vggt_cos_loss': '0.0175', 'pidinet_loss': '0.2174', 'siglip_loss': '0.6402', 'epoch': '0.3051'} + 94%|██████████████████████████████▏ | 8481/9000 [7:23:01<28:06, 3.25s/it][Dataset] cur_step=8482 phase=D_mixed_covt +[Dataset] cur_step=8482 phase=D_mixed_covt[Dataset] cur_step=8482 phase=D_mixed_covt + + 94%|██████████████████████████████▏ | 8482/9000 [7:23:02<26:36, 3.08s/it][Dataset] cur_step=8482 phase=D_mixed_covt +[Dataset] cur_step=8482 phase=D_mixed_covt +[Dataset] cur_step=8482 phase=D_mixed_covt[Dataset] cur_step=8482 phase=D_mixed_covt + +[Dataset] cur_step=8482 phase=D_mixed_covt + {'loss': '3.182', 'grad_norm': '2.342', 'learning_rate': '4.515e-07', 'epoch': '0.3051'} + 94%|██████████████████████████████▏ | 8482/9000 [7:23:02<26:36, 3.08s/it] {'lm_loss': '0.6072', 'visual_loss': '2.718', 'seg_loss': '0.7216', 'dino_loss': '0.9233', 'depth_loss': '0.2532', 'vggt_mse_loss': '0.2514', 'vggt_cos_loss': '0.01734', 'pidinet_loss': '0.2659', 'siglip_loss': '0.5536', 'epoch': '0.3051'} + 94%|██████████████████████████████▏ | 8482/9000 [7:23:04<26:36, 3.08s/it][Dataset] cur_step=8483 phase=D_mixed_covt +[Dataset] cur_step=8483 phase=D_mixed_covt[Dataset] cur_step=8483 phase=D_mixed_covt + +[Dataset] cur_step=8483 phase=D_mixed_covt + 94%|██████████████████████████████▏ | 8483/9000 [7:23:05<26:19, 3.05s/it][Dataset] cur_step=8483 phase=D_mixed_covt +[Dataset] cur_step=8483 phase=D_mixed_covt +[Dataset] cur_step=8483 phase=D_mixed_covt +[Dataset] cur_step=8483 phase=D_mixed_covt + {'loss': '3.044', 'grad_norm': '4.776', 'learning_rate': '4.497e-07', 'epoch': '0.3052'} + 94%|██████████████████████████████▏ | 8483/9000 [7:23:05<26:19, 3.05s/it] {'lm_loss': '0.5505', 'visual_loss': '2.678', 'seg_loss': '0.7894', 'dino_loss': '0.8994', 'depth_loss': '0.2148', 'vggt_mse_loss': '0.2132', 'vggt_cos_loss': '0.01524', 'pidinet_loss': '0.2357', 'siglip_loss': '0.5388', 'epoch': '0.3052'} + 94%|██████████████████████████████▏ | 8483/9000 [7:23:06<26:19, 3.05s/it][Dataset] cur_step=8484 phase=D_mixed_covt +[Dataset] cur_step=8484 phase=D_mixed_covt +[Dataset] cur_step=8484 phase=D_mixed_covt +[Dataset] cur_step=8484 phase=D_mixed_covt 94%|██████████████████████████████▏ | 8484/9000 [7:23:07<23:58, 2.79s/it] +[Dataset] cur_step=8484 phase=D_mixed_covt +[Dataset] cur_step=8484 phase=D_mixed_covt +[Dataset] cur_step=8484 phase=D_mixed_covt +[Dataset] cur_step=8484 phase=D_mixed_covt + {'loss': '3.21', 'grad_norm': '6.024', 'learning_rate': '4.48e-07', 'epoch': '0.3052'} + 94%|██████████████████████████████▏ | 8484/9000 [7:23:07<23:58, 2.79s/it] {'lm_loss': '0.5274', 'visual_loss': '2.704', 'seg_loss': '0.7954', 'dino_loss': '0.9229', 'depth_loss': '0.2655', 'vggt_mse_loss': '0.2636', 'vggt_cos_loss': '0.01927', 'pidinet_loss': '0.229', 'siglip_loss': '0.4916', 'epoch': '0.3052'} + 94%|██████████████████████████████▏ | 8484/9000 [7:23:10<23:58, 2.79s/it][Dataset] cur_step=8485 phase=D_mixed_covt + 94%|██████████████████████████████▏ | 8485/9000 [7:23:11<27:20, 3.19s/it][Dataset] cur_step=8485 phase=D_mixed_covt +[Dataset] cur_step=8485 phase=D_mixed_covt[Dataset] cur_step=8485 phase=D_mixed_covt + +[Dataset] cur_step=8485 phase=D_mixed_covt +[Dataset] cur_step=8485 phase=D_mixed_covt[Dataset] cur_step=8485 phase=D_mixed_covt + +[Dataset] cur_step=8485 phase=D_mixed_covt + {'loss': '3.408', 'grad_norm': '4.212', 'learning_rate': '4.463e-07', 'epoch': '0.3052'} + 94%|██████████████████████████████▏ | 8485/9000 [7:23:11<27:20, 3.19s/it] {'lm_loss': '1.099', 'visual_loss': '2.997', 'seg_loss': '0.8394', 'dino_loss': '0.9065', 'depth_loss': '0.2251', 'vggt_mse_loss': '0.2233', 'vggt_cos_loss': '0.01748', 'pidinet_loss': '0.3236', 'siglip_loss': '0.7021', 'epoch': '0.3052'} + 94%|██████████████████████████████▏ | 8485/9000 [7:23:13<27:20, 3.19s/it][Dataset] cur_step=8486 phase=D_mixed_covt +[Dataset] cur_step=8486 phase=D_mixed_covt +[Dataset] cur_step=8486 phase=D_mixed_covt +[Dataset] cur_step=8486 phase=D_mixed_covt +[Dataset] cur_step=8486 phase=D_mixed_covt +[Dataset] cur_step=8486 phase=D_mixed_covt +[Dataset] cur_step=8486 phase=D_mixed_covt +[Dataset] cur_step=8486 phase=D_mixed_covt + 94%|██████████████████████████████▏ | 8486/9000 [7:23:17<33:37, 3.93s/it] {'loss': '3.008', 'grad_norm': '3.69', 'learning_rate': '4.445e-07', 'epoch': '0.3053'} + 94%|██████████████████████████████▏ | 8486/9000 [7:23:17<33:37, 3.93s/it] {'lm_loss': '0.5949', 'visual_loss': '2.744', 'seg_loss': '0.7616', 'dino_loss': '0.9166', 'depth_loss': '0.2242', 'vggt_mse_loss': '0.2225', 'vggt_cos_loss': '0.01679', 'pidinet_loss': '0.2613', 'siglip_loss': '0.5806', 'epoch': '0.3053'} + 94%|██████████████████████████████▏ | 8486/9000 [7:23:19<33:37, 3.93s/it][Dataset] cur_step=8487 phase=D_mixed_covt +[Dataset] cur_step=8487 phase=D_mixed_covt +[Dataset] cur_step=8487 phase=D_mixed_covt +[Dataset] cur_step=8487 phase=D_mixed_covt + 94%|██████████████████████████████▏ | 8487/9000 [7:23:20<33:23, 3.90s/it][Dataset] cur_step=8487 phase=D_mixed_covt +[Dataset] cur_step=8487 phase=D_mixed_covt +[Dataset] cur_step=8487 phase=D_mixed_covt +[Dataset] cur_step=8487 phase=D_mixed_covt + {'loss': '3.224', 'grad_norm': '2.168', 'learning_rate': '4.428e-07', 'epoch': '0.3053'} + 94%|██████████████████████████████▏ | 8487/9000 [7:23:20<33:23, 3.90s/it] {'lm_loss': '0.05476', 'visual_loss': '2.497', 'seg_loss': '0.5918', 'dino_loss': '0.8781', 'depth_loss': '0.3446', 'vggt_mse_loss': '0.3413', 'vggt_cos_loss': '0.03307', 'pidinet_loss': '0.197', 'siglip_loss': '0.4855', 'epoch': '0.3053'} + 94%|██████████████████████████████▏ | 8487/9000 [7:23:22<33:23, 3.90s/it][Dataset] cur_step=8488 phase=D_mixed_covt +[Dataset] cur_step=8488 phase=D_mixed_covt +[Dataset] cur_step=8488 phase=D_mixed_covt[Dataset] cur_step=8488 phase=D_mixed_covt[Dataset] cur_step=8488 phase=D_mixed_covt + + +[Dataset] cur_step=8488 phase=D_mixed_covt + 94%|██████████████████████████████▏ | 8488/9000 [7:23:23<29:34, 3.47s/it][Dataset] cur_step=8488 phase=D_mixed_covt +[Dataset] cur_step=8488 phase=D_mixed_covt + {'loss': '3.43', 'grad_norm': '4.003', 'learning_rate': '4.411e-07', 'epoch': '0.3054'} + 94%|██████████████████████████████▏ | 8488/9000 [7:23:23<29:34, 3.47s/it] {'lm_loss': '0.4256', 'visual_loss': '2.767', 'seg_loss': '0.7488', 'dino_loss': '0.9121', 'depth_loss': '0.3065', 'vggt_mse_loss': '0.3042', 'vggt_cos_loss': '0.0227', 'pidinet_loss': '0.2278', 'siglip_loss': '0.5716', 'epoch': '0.3054'} + 94%|██████████████████████████████▏ | 8488/9000 [7:23:26<29:34, 3.47s/it][Dataset] cur_step=8489 phase=D_mixed_covt +[Dataset] cur_step=8489 phase=D_mixed_covt +[Dataset] cur_step=8489 phase=D_mixed_covt[Dataset] cur_step=8489 phase=D_mixed_covt + +[Dataset] cur_step=8489 phase=D_mixed_covt +[Dataset] cur_step=8489 phase=D_mixed_covt +[Dataset] cur_step=8489 phase=D_mixed_covt + 94%|██████████████████████████████▏ | 8489/9000 [7:23:27<31:04, 3.65s/it][Dataset] cur_step=8489 phase=D_mixed_covt + {'loss': '3.115', 'grad_norm': '2.219', 'learning_rate': '4.394e-07', 'epoch': '0.3054'} + 94%|██████████████████████████████▏ | 8489/9000 [7:23:27<31:04, 3.65s/it] {'lm_loss': '0.4916', 'visual_loss': '2.071', 'seg_loss': '0.5843', 'dino_loss': '0.8958', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0', 'siglip_loss': '0.5913', 'epoch': '0.3054'} + 94%|██████████████████████████████▏ | 8489/9000 [7:23:29<31:04, 3.65s/it][Dataset] cur_step=8490 phase=D_mixed_covt +[Dataset] cur_step=8490 phase=D_mixed_covt + 94%|██████████████████████████████▏ | 8490/9000 [7:23:31<33:16, 3.91s/it][Dataset] cur_step=8490 phase=D_mixed_covt +[Dataset] cur_step=8490 phase=D_mixed_covt +[Dataset] cur_step=8490 phase=D_mixed_covt +[Dataset] cur_step=8490 phase=D_mixed_covt[Dataset] cur_step=8490 phase=D_mixed_covt + +[Dataset] cur_step=8490 phase=D_mixed_covt + {'loss': '2.884', 'grad_norm': '2.665', 'learning_rate': '4.377e-07', 'epoch': '0.3054'} + 94%|██████████████████████████████▏ | 8490/9000 [7:23:31<33:16, 3.91s/it] {'lm_loss': '0.1547', 'visual_loss': '2.609', 'seg_loss': '0.6846', 'dino_loss': '0.9086', 'depth_loss': '0.2141', 'vggt_mse_loss': '0.2128', 'vggt_cos_loss': '0.01281', 'pidinet_loss': '0.2342', 'siglip_loss': '0.567', 'epoch': '0.3054'} + 94%|██████████████████████████████▏ | 8490/9000 [7:23:34<33:16, 3.91s/it][Dataset] cur_step=8491 phase=D_mixed_covt +[Dataset] cur_step=8491 phase=D_mixed_covt +[Dataset] cur_step=8491 phase=D_mixed_covt +[Dataset] cur_step=8491 phase=D_mixed_covt + 94%|██████████████████████████████▏ | 8491/9000 [7:23:35<31:24, 3.70s/it][Dataset] cur_step=8491 phase=D_mixed_covt[Dataset] cur_step=8491 phase=D_mixed_covt + +[Dataset] cur_step=8491 phase=D_mixed_covt +[Dataset] cur_step=8491 phase=D_mixed_covt + {'loss': '3.077', 'grad_norm': '2.662', 'learning_rate': '4.36e-07', 'epoch': '0.3055'} + 94%|██████████████████████████████▏ | 8491/9000 [7:23:35<31:24, 3.70s/it] {'lm_loss': '0.7819', 'visual_loss': '2.657', 'seg_loss': '0.6456', 'dino_loss': '0.9144', 'depth_loss': '0.1592', 'vggt_mse_loss': '0.158', 'vggt_cos_loss': '0.01242', 'pidinet_loss': '0.2618', 'siglip_loss': '0.676', 'epoch': '0.3055'} + 94%|██████████████████████████████▏ | 8491/9000 [7:23:38<31:24, 3.70s/it][Dataset] cur_step=8492 phase=D_mixed_covt +[Dataset] cur_step=8492 phase=D_mixed_covt +[Dataset] cur_step=8492 phase=D_mixed_covt 94%|██████████████████████████████▏ | 8492/9000 [7:23:38<31:28, 3.72s/it] +[Dataset] cur_step=8492 phase=D_mixed_covt +[Dataset] cur_step=8492 phase=D_mixed_covt +[Dataset] cur_step=8492 phase=D_mixed_covt +[Dataset] cur_step=8492 phase=D_mixed_covt[Dataset] cur_step=8492 phase=D_mixed_covt + + {'loss': '3.289', 'grad_norm': '2.621', 'learning_rate': '4.343e-07', 'epoch': '0.3055'} + 94%|██████████████████████████████▏ | 8492/9000 [7:23:38<31:28, 3.72s/it] {'lm_loss': '0.0828', 'visual_loss': '2.242', 'seg_loss': '0.7284', 'dino_loss': '0.8915', 'depth_loss': '0.1714', 'vggt_mse_loss': '0.1705', 'vggt_cos_loss': '0.009443', 'pidinet_loss': '0.1586', 'siglip_loss': '0.2926', 'epoch': '0.3055'} + 94%|██████████████████████████████▏ | 8492/9000 [7:23:42<31:28, 3.72s/it][Dataset] cur_step=8493 phase=D_mixed_covt +[Dataset] cur_step=8493 phase=D_mixed_covt +[Dataset] cur_step=8493 phase=D_mixed_covt[Dataset] cur_step=8493 phase=D_mixed_covt + +[Dataset] cur_step=8493 phase=D_mixed_covt[Dataset] cur_step=8493 phase=D_mixed_covt + +[Dataset] cur_step=8493 phase=D_mixed_covt 94%|██████████████████████████████▏ | 8493/9000 [7:23:42<32:18, 3.82s/it] +[Dataset] cur_step=8493 phase=D_mixed_covt + {'loss': '2.785', 'grad_norm': '2.318', 'learning_rate': '4.326e-07', 'epoch': '0.3055'} + 94%|██████████████████████████████▏ | 8493/9000 [7:23:42<32:18, 3.82s/it] {'lm_loss': '0.395', 'visual_loss': '2.592', 'seg_loss': '0.7193', 'dino_loss': '0.9148', 'depth_loss': '0.3397', 'vggt_mse_loss': '0.3375', 'vggt_cos_loss': '0.02258', 'pidinet_loss': '0.2289', 'siglip_loss': '0.3891', 'epoch': '0.3055'} + 94%|██████████████████████████████▏ | 8493/9000 [7:23:45<32:18, 3.82s/it][Dataset] cur_step=8494 phase=D_mixed_covt +[Dataset] cur_step=8494 phase=D_mixed_covt +[Dataset] cur_step=8494 phase=D_mixed_covt[Dataset] cur_step=8494 phase=D_mixed_covt + + 94%|██████████████████████████████▏ | 8494/9000 [7:23:46<30:40, 3.64s/it][Dataset] cur_step=8494 phase=D_mixed_covt +[Dataset] cur_step=8494 phase=D_mixed_covt[Dataset] cur_step=8494 phase=D_mixed_covt + +[Dataset] cur_step=8494 phase=D_mixed_covt + {'loss': '3.172', 'grad_norm': '1.986', 'learning_rate': '4.309e-07', 'epoch': '0.3056'} + 94%|██████████████████████████████▏ | 8494/9000 [7:23:46<30:40, 3.64s/it] {'lm_loss': '0.7145', 'visual_loss': '2.636', 'seg_loss': '0.6229', 'dino_loss': '0.947', 'depth_loss': '0.2421', 'vggt_mse_loss': '0.2404', 'vggt_cos_loss': '0.01692', 'pidinet_loss': '0.2236', 'siglip_loss': '0.6008', 'epoch': '0.3056'} + 94%|██████████████████████████████▏ | 8494/9000 [7:23:49<30:40, 3.64s/it][Dataset] cur_step=8495 phase=D_mixed_covt[Dataset] cur_step=8495 phase=D_mixed_covt + +[Dataset] cur_step=8495 phase=D_mixed_covt + 94%|██████████████████████████████▏ | 8495/9000 [7:23:50<31:37, 3.76s/it][Dataset] cur_step=8495 phase=D_mixed_covt +[Dataset] cur_step=8495 phase=D_mixed_covt +[Dataset] cur_step=8495 phase=D_mixed_covt +[Dataset] cur_step=8495 phase=D_mixed_covt +[Dataset] cur_step=8495 phase=D_mixed_covt + {'loss': '3.438', 'grad_norm': '2.948', 'learning_rate': '4.292e-07', 'epoch': '0.3056'} + 94%|██████████████████████████████▏ | 8495/9000 [7:23:50<31:37, 3.76s/it] {'lm_loss': '0.1353', 'visual_loss': '2.399', 'seg_loss': '0.7782', 'dino_loss': '0.8855', 'depth_loss': '0.1667', 'vggt_mse_loss': '0.1657', 'vggt_cos_loss': '0.00977', 'pidinet_loss': '0.2563', 'siglip_loss': '0.3123', 'epoch': '0.3056'} + 94%|██████████████████████████████▏ | 8495/9000 [7:23:52<31:37, 3.76s/it][Dataset] cur_step=8496 phase=D_mixed_covt +[Dataset] cur_step=8496 phase=D_mixed_covt[Dataset] cur_step=8496 phase=D_mixed_covt + +[Dataset] cur_step=8496 phase=D_mixed_covt[Dataset] cur_step=8496 phase=D_mixed_covt + +[Dataset] cur_step=8496 phase=D_mixed_covt +[Dataset] cur_step=8496 phase=D_mixed_covt + 94%|██████████████████████████████▏ | 8496/9000 [7:23:54<32:54, 3.92s/it][Dataset] cur_step=8496 phase=D_mixed_covt + {'loss': '3.361', 'grad_norm': '2.188', 'learning_rate': '4.275e-07', 'epoch': '0.3056'} + 94%|██████████████████████████████▏ | 8496/9000 [7:23:54<32:54, 3.92s/it] {'lm_loss': '1.001', 'visual_loss': '2.648', 'seg_loss': '0.818', 'dino_loss': '0.9103', 'depth_loss': '0.2284', 'vggt_mse_loss': '0.2272', 'vggt_cos_loss': '0.01203', 'pidinet_loss': '0.2111', 'siglip_loss': '0.4803', 'epoch': '0.3056'} + 94%|██████████████████████████████▏ | 8496/9000 [7:23:56<32:54, 3.92s/it][Dataset] cur_step=8497 phase=D_mixed_covt[Dataset] cur_step=8497 phase=D_mixed_covt + + 94%|██████████████████████████████▏ | 8497/9000 [7:23:57<31:01, 3.70s/it][Dataset] cur_step=8497 phase=D_mixed_covt +[Dataset] cur_step=8497 phase=D_mixed_covt +[Dataset] cur_step=8497 phase=D_mixed_covt +[Dataset] cur_step=8497 phase=D_mixed_covt +[Dataset] cur_step=8497 phase=D_mixed_covt +[Dataset] cur_step=8497 phase=D_mixed_covt + {'loss': '3.298', 'grad_norm': '9.688', 'learning_rate': '4.258e-07', 'epoch': '0.3057'} + 94%|██████████████████████████████▏ | 8497/9000 [7:23:57<31:01, 3.70s/it] {'lm_loss': '0.6426', 'visual_loss': '2.647', 'seg_loss': '0.8028', 'dino_loss': '0.9031', 'depth_loss': '0.2033', 'vggt_mse_loss': '0.2017', 'vggt_cos_loss': '0.01585', 'pidinet_loss': '0.277', 'siglip_loss': '0.4609', 'epoch': '0.3057'} + 94%|██████████████████████████████▏ | 8497/9000 [7:23:59<31:01, 3.70s/it][Dataset] cur_step=8498 phase=D_mixed_covt +[Dataset] cur_step=8498 phase=D_mixed_covt +[Dataset] cur_step=8498 phase=D_mixed_covt +[Dataset] cur_step=8498 phase=D_mixed_covt[Dataset] cur_step=8498 phase=D_mixed_covt + + 94%|██████████████████████████████▏ | 8498/9000 [7:24:00<28:36, 3.42s/it][Dataset] cur_step=8498 phase=D_mixed_covt +[Dataset] cur_step=8498 phase=D_mixed_covt +[Dataset] cur_step=8498 phase=D_mixed_covt + {'loss': '3.163', 'grad_norm': '2.619', 'learning_rate': '4.241e-07', 'epoch': '0.3057'} + 94%|██████████████████████████████▏ | 8498/9000 [7:24:00<28:36, 3.42s/it] {'lm_loss': '0.1093', 'visual_loss': '1.508', 'seg_loss': '0.6866', 'dino_loss': '0', 'depth_loss': '0.1492', 'vggt_mse_loss': '0.1481', 'vggt_cos_loss': '0.01072', 'pidinet_loss': '0.2407', 'siglip_loss': '0.4313', 'epoch': '0.3057'} + 94%|██████████████████████████████▏ | 8498/9000 [7:24:01<28:36, 3.42s/it][Dataset] cur_step=8499 phase=D_mixed_covt +[Dataset] cur_step=8499 phase=D_mixed_covt +[Dataset] cur_step=8499 phase=D_mixed_covt +[Dataset] cur_step=8499 phase=D_mixed_covt +[Dataset] cur_step=8499 phase=D_mixed_covt + 94%|██████████████████████████████▏ | 8499/9000 [7:24:04<31:22, 3.76s/it][Dataset] cur_step=8499 phase=D_mixed_covt +[Dataset] cur_step=8499 phase=D_mixed_covt +[Dataset] cur_step=8499 phase=D_mixed_covt + {'loss': '2.397', 'grad_norm': '3.32', 'learning_rate': '4.224e-07', 'epoch': '0.3058'} + 94%|██████████████████████████████▏ | 8499/9000 [7:24:04<31:22, 3.76s/it] {'lm_loss': '0.9433', 'visual_loss': '1.757', 'seg_loss': '0', 'dino_loss': '0.9263', 'depth_loss': '0.1489', 'vggt_mse_loss': '0.1477', 'vggt_cos_loss': '0.01183', 'pidinet_loss': '0.2031', 'siglip_loss': '0.4784', 'epoch': '0.3058'} + 94%|██████████████████████████████▏ | 8499/9000 [7:24:05<31:22, 3.76s/it][Dataset] cur_step=8500 phase=D_mixed_covt +[Dataset] cur_step=8500 phase=D_mixed_covt[Dataset] cur_step=8500 phase=D_mixed_covt +[Dataset] cur_step=8500 phase=D_mixed_covt + +[Dataset] cur_step=8500 phase=D_mixed_covt +[Dataset] cur_step=8500 phase=D_mixed_covt +[Dataset] cur_step=8500 phase=D_mixed_covt[Dataset] cur_step=8500 phase=D_mixed_covt + +[cvbench] step=8500 metrics={"eval/cvbench_2d_accuracy": 0.772, "eval/cvbench_2d_count_accuracy": 0.6715328467153284, "eval/cvbench_2d_relation_accuracy": 0.8938053097345132, "eval/cvbench_2d_task_macro_accuracy": 0.7826690782249208, "eval/cvbench_3d_accuracy": 0.892, "eval/cvbench_3d_depth_accuracy": 0.944, "eval/cvbench_3d_distance_accuracy": 0.84, "eval/cvbench_3d_task_macro_accuracy": 0.8919999999999999, "eval/cvbench_accuracy": 0.832, "eval/cvbench_covt_answer_tag_rate": 1.0, "eval/cvbench_covt_any_anchor_rate": 1.0, "eval/cvbench_covt_depth_tokens_mean": 4.0, "eval/cvbench_covt_dino_tokens_mean": 4.0, "eval/cvbench_covt_pidinet_tokens_mean": 4.0, "eval/cvbench_covt_sam_tokens_mean": 8.0, "eval/cvbench_covt_siglip_tokens_mean": 3.952, "eval/cvbench_covt_think_rate": 1.0, "eval/cvbench_errors": 0.0, "eval/cvbench_parse_rate": 1.0, "eval/cvbench_samples": 500.0, "eval/cvbench_seconds": 306.5356255341321, "eval/cvbench_task_macro_accuracy": 0.8373345391124604} + 94%|███████████████████████████▍ | 8500/9000 [7:29:12<13:11:48, 95.02s/it] {'loss': '2.554', 'grad_norm': '4.676', 'learning_rate': '4.207e-07', 'epoch': '0.3058'} + 94%|███████████████████████████▍ | 8500/9000 [7:29:12<13:11:48, 95.02s/it] {'lm_loss': '0.7115', 'visual_loss': '2.842', 'seg_loss': '0.7973', 'dino_loss': '0.9111', 'depth_loss': '0.2385', 'vggt_mse_loss': '0.2369', 'vggt_cos_loss': '0.01585', 'pidinet_loss': '0.2686', 'siglip_loss': '0.6261', 'epoch': '0.3058'} + 94%|███████████████████████████▍ | 8500/9000 [7:29:14<13:11:48, 95.02s/it][Dataset] cur_step=8501 phase=D_mixed_covt +[Dataset] cur_step=8501 phase=D_mixed_covt +[Dataset] cur_step=8501 phase=D_mixed_covt +[Dataset] cur_step=8501 phase=D_mixed_covt[Dataset] cur_step=8501 phase=D_mixed_covt + + 94%|████████████████████████████▎ | 8501/9000 [7:29:15<9:19:50, 67.32s/it][Dataset] cur_step=8501 phase=D_mixed_covt +[Dataset] cur_step=8501 phase=D_mixed_covt +[Dataset] cur_step=8501 phase=D_mixed_covt + {'loss': '3.37', 'grad_norm': '20.17', 'learning_rate': '4.19e-07', 'epoch': '0.3058'} + 94%|████████████████████████████▎ | 8501/9000 [7:29:15<9:19:50, 67.32s/it] {'lm_loss': '0.6531', 'visual_loss': '2.706', 'seg_loss': '0.6872', 'dino_loss': '0.9581', 'depth_loss': '0.2593', 'vggt_mse_loss': '0.2574', 'vggt_cos_loss': '0.01828', 'pidinet_loss': '0.2363', 'siglip_loss': '0.5656', 'epoch': '0.3058'} + 94%|████████████████████████████▎ | 8501/9000 [7:29:17<9:19:50, 67.32s/it][Dataset] cur_step=8502 phase=D_mixed_covt +[Dataset] cur_step=8502 phase=D_mixed_covt +[Dataset] cur_step=8502 phase=D_mixed_covt +[Dataset] cur_step=8502 phase=D_mixed_covt +[Dataset] cur_step=8502 phase=D_mixed_covt[Dataset] cur_step=8502 phase=D_mixed_covt + + 94%|████████████████████████████▎ | 8502/9000 [7:29:18<6:37:46, 47.93s/it][Dataset] cur_step=8502 phase=D_mixed_covt +[Dataset] cur_step=8502 phase=D_mixed_covt + {'loss': '3.044', 'grad_norm': '8.449', 'learning_rate': '4.174e-07', 'epoch': '0.3059'} + 94%|████████████████████████████▎ | 8502/9000 [7:29:18<6:37:46, 47.93s/it] {'lm_loss': '0.8382', 'visual_loss': '2.511', 'seg_loss': '0.7208', 'dino_loss': '0.8833', 'depth_loss': '0.1701', 'vggt_mse_loss': '0.1691', 'vggt_cos_loss': '0.01002', 'pidinet_loss': '0.2828', 'siglip_loss': '0.4535', 'epoch': '0.3059'} + 94%|████████████████████████████▎ | 8502/9000 [7:29:21<6:37:46, 47.93s/it][Dataset] cur_step=8503 phase=D_mixed_covt +[Dataset] cur_step=8503 phase=D_mixed_covt +[Dataset] cur_step=8503 phase=D_mixed_covt 94%|████████████████████████████▎ | 8503/9000 [7:29:21<4:46:08, 34.54s/it] +[Dataset] cur_step=8503 phase=D_mixed_covt +[Dataset] cur_step=8503 phase=D_mixed_covt +[Dataset] cur_step=8503 phase=D_mixed_covt +[Dataset] cur_step=8503 phase=D_mixed_covt +[Dataset] cur_step=8503 phase=D_mixed_covt + {'loss': '3.422', 'grad_norm': '2.98', 'learning_rate': '4.157e-07', 'epoch': '0.3059'} + 94%|████████████████████████████▎ | 8503/9000 [7:29:21<4:46:08, 34.54s/it] {'lm_loss': '0.542', 'visual_loss': '2.838', 'seg_loss': '0.5664', 'dino_loss': '0.911', 'depth_loss': '0.2163', 'vggt_mse_loss': '0.2145', 'vggt_cos_loss': '0.01783', 'pidinet_loss': '0.1812', 'siglip_loss': '0.9636', 'epoch': '0.3059'} + 94%|████████████████████████████▎ | 8503/9000 [7:29:23<4:46:08, 34.54s/it][Dataset] cur_step=8504 phase=D_mixed_covt +[Dataset] cur_step=8504 phase=D_mixed_covt +[Dataset] cur_step=8504 phase=D_mixed_covt[Dataset] cur_step=8504 phase=D_mixed_covt + +[Dataset] cur_step=8504 phase=D_mixed_covt +[Dataset] cur_step=8504 phase=D_mixed_covt +[Dataset] cur_step=8504 phase=D_mixed_covt +[Dataset] cur_step=8504 phase=D_mixed_covt + 94%|████████████████████████████▎ | 8504/9000 [7:29:24<3:26:15, 24.95s/it] {'loss': '3.41', 'grad_norm': '3.476', 'learning_rate': '4.14e-07', 'epoch': '0.3059'} + 94%|████████████████████████████▎ | 8504/9000 [7:29:24<3:26:15, 24.95s/it] {'lm_loss': '0.7754', 'visual_loss': '2.749', 'seg_loss': '0.798', 'dino_loss': '0.934', 'depth_loss': '0.2287', 'vggt_mse_loss': '0.2274', 'vggt_cos_loss': '0.01332', 'pidinet_loss': '0.2345', 'siglip_loss': '0.5539', 'epoch': '0.3059'} + 94%|████████████████████████████▎ | 8504/9000 [7:29:27<3:26:15, 24.95s/it][Dataset] cur_step=8505 phase=D_mixed_covt +[Dataset] cur_step=8505 phase=D_mixed_covt[Dataset] cur_step=8505 phase=D_mixed_covt +[Dataset] cur_step=8505 phase=D_mixed_covt +[Dataset] cur_step=8505 phase=D_mixed_covt +[Dataset] cur_step=8505 phase=D_mixed_covt[Dataset] cur_step=8505 phase=D_mixed_covt + +[Dataset] cur_step=8505 phase=D_mixed_covt + + 94%|████████████████████████████▎ | 8505/9000 [7:29:27<2:33:24, 18.59s/it] {'loss': '3.017', 'grad_norm': '2.931', 'learning_rate': '4.124e-07', 'epoch': '0.306'} + 94%|████████████████████████████▎ | 8505/9000 [7:29:27<2:33:24, 18.59s/it] {'lm_loss': '1.016', 'visual_loss': '2.574', 'seg_loss': '0.818', 'dino_loss': '0.9107', 'depth_loss': '0.2006', 'vggt_mse_loss': '0.1992', 'vggt_cos_loss': '0.01442', 'pidinet_loss': '0.1219', 'siglip_loss': '0.5227', 'epoch': '0.306'} + 94%|████████████████████████████▎ | 8505/9000 [7:29:29<2:33:24, 18.59s/it][Dataset] cur_step=8506 phase=D_mixed_covt +[Dataset] cur_step=8506 phase=D_mixed_covt +[Dataset] cur_step=8506 phase=D_mixed_covt +[Dataset] cur_step=8506 phase=D_mixed_covt[Dataset] cur_step=8506 phase=D_mixed_covt + + 95%|████████████████████████████▎ | 8506/9000 [7:29:29<1:51:42, 13.57s/it][Dataset] cur_step=8506 phase=D_mixed_covt +[Dataset] cur_step=8506 phase=D_mixed_covt +[Dataset] cur_step=8506 phase=D_mixed_covt + {'loss': '3.678', 'grad_norm': '5.866', 'learning_rate': '4.107e-07', 'epoch': '0.306'} + 95%|████████████████████████████▎ | 8506/9000 [7:29:29<1:51:42, 13.57s/it] {'lm_loss': '0.7005', 'visual_loss': '2.7', 'seg_loss': '0.7282', 'dino_loss': '0.9066', 'depth_loss': '0.2806', 'vggt_mse_loss': '0.2785', 'vggt_cos_loss': '0.02086', 'pidinet_loss': '0.3543', 'siglip_loss': '0.4301', 'epoch': '0.306'} + 95%|████████████████████████████▎ | 8506/9000 [7:29:31<1:51:42, 13.57s/it][Dataset] cur_step=8507 phase=D_mixed_covt +[Dataset] cur_step=8507 phase=D_mixed_covt[Dataset] cur_step=8507 phase=D_mixed_covt + +[Dataset] cur_step=8507 phase=D_mixed_covt +[Dataset] cur_step=8507 phase=D_mixed_covt 95%|████████████████████████████▎ | 8507/9000 [7:29:32<1:24:59, 10.34s/it] +[Dataset] cur_step=8507 phase=D_mixed_covt +[Dataset] cur_step=8507 phase=D_mixed_covt +[Dataset] cur_step=8507 phase=D_mixed_covt + {'loss': '3.378', 'grad_norm': '2.538', 'learning_rate': '4.091e-07', 'epoch': '0.306'} + 95%|████████████████████████████▎ | 8507/9000 [7:29:32<1:24:59, 10.34s/it] {'lm_loss': '1.043', 'visual_loss': '2.691', 'seg_loss': '0.7038', 'dino_loss': '0.9138', 'depth_loss': '0.2112', 'vggt_mse_loss': '0.2097', 'vggt_cos_loss': '0.0144', 'pidinet_loss': '0.1578', 'siglip_loss': '0.7041', 'epoch': '0.306'} + 95%|████████████████████████████▎ | 8507/9000 [7:29:34<1:24:59, 10.34s/it][Dataset] cur_step=8508 phase=D_mixed_covt +[Dataset] cur_step=8508 phase=D_mixed_covt[Dataset] cur_step=8508 phase=D_mixed_covt + +[Dataset] cur_step=8508 phase=D_mixed_covt[Dataset] cur_step=8508 phase=D_mixed_covt +[Dataset] cur_step=8508 phase=D_mixed_covt + + 95%|████████████████████████████▎ | 8508/9000 [7:29:35<1:05:48, 8.03s/it][Dataset] cur_step=8508 phase=D_mixed_covt +[Dataset] cur_step=8508 phase=D_mixed_covt + {'loss': '3.466', 'grad_norm': '2.995', 'learning_rate': '4.074e-07', 'epoch': '0.3061'} + 95%|████████████████████████████▎ | 8508/9000 [7:29:35<1:05:48, 8.03s/it] {'lm_loss': '0.1186', 'visual_loss': '2.722', 'seg_loss': '0.7815', 'dino_loss': '0.8461', 'depth_loss': '0.2621', 'vggt_mse_loss': '0.2604', 'vggt_cos_loss': '0.01721', 'pidinet_loss': '0.3647', 'siglip_loss': '0.4674', 'epoch': '0.3061'} + 95%|████████████████████████████▎ | 8508/9000 [7:29:36<1:05:48, 8.03s/it][Dataset] cur_step=8509 phase=D_mixed_covt[Dataset] cur_step=8509 phase=D_mixed_covt[Dataset] cur_step=8509 phase=D_mixed_covt + + +[Dataset] cur_step=8509 phase=D_mixed_covt +[Dataset] cur_step=8509 phase=D_mixed_covt +[Dataset] cur_step=8509 phase=D_mixed_covt +[Dataset] cur_step=8509 phase=D_mixed_covt + 95%|██████████████████████████████▎ | 8509/9000 [7:29:37<50:37, 6.19s/it][Dataset] cur_step=8509 phase=D_mixed_covt + {'loss': '3.404', 'grad_norm': '13.8', 'learning_rate': '4.058e-07', 'epoch': '0.3061'} + 95%|██████████████████████████████▎ | 8509/9000 [7:29:37<50:37, 6.19s/it] {'lm_loss': '0.9855', 'visual_loss': '2.741', 'seg_loss': '0.8756', 'dino_loss': '0.9128', 'depth_loss': '0.2022', 'vggt_mse_loss': '0.2008', 'vggt_cos_loss': '0.01483', 'pidinet_loss': '0.274', 'siglip_loss': '0.4763', 'epoch': '0.3061'} + 95%|██████████████████████████████▎ | 8509/9000 [7:29:39<50:37, 6.19s/it][Dataset] cur_step=8510 phase=D_mixed_covt +[Dataset] cur_step=8510 phase=D_mixed_covt +[Dataset] cur_step=8510 phase=D_mixed_covt[Dataset] cur_step=8510 phase=D_mixed_covt +[Dataset] cur_step=8510 phase=D_mixed_covt + +[Dataset] cur_step=8510 phase=D_mixed_covt + 95%|██████████████████████████████▎ | 8510/9000 [7:29:39<41:22, 5.07s/it][Dataset] cur_step=8510 phase=D_mixed_covt +[Dataset] cur_step=8510 phase=D_mixed_covt + {'loss': '3.304', 'grad_norm': '2.45', 'learning_rate': '4.041e-07', 'epoch': '0.3061'} + 95%|██████████████████████████████▎ | 8510/9000 [7:29:39<41:22, 5.07s/it] {'lm_loss': '0.1926', 'visual_loss': '2.471', 'seg_loss': '0.6953', 'dino_loss': '0.8992', 'depth_loss': '0.2663', 'vggt_mse_loss': '0.2647', 'vggt_cos_loss': '0.01527', 'pidinet_loss': '0.2366', 'siglip_loss': '0.3732', 'epoch': '0.3061'} + 95%|██████████████████████████████▎ | 8510/9000 [7:29:42<41:22, 5.07s/it][Dataset] cur_step=8511 phase=D_mixed_covt +[Dataset] cur_step=8511 phase=D_mixed_covt[Dataset] cur_step=8511 phase=D_mixed_covt[Dataset] cur_step=8511 phase=D_mixed_covt + + +[Dataset] cur_step=8511 phase=D_mixed_covt + 95%|██████████████████████████████▎ | 8511/9000 [7:29:45<44:18, 5.44s/it][Dataset] cur_step=8511 phase=D_mixed_covt +[Dataset] cur_step=8511 phase=D_mixed_covt +[Dataset] cur_step=8511 phase=D_mixed_covt + {'loss': '2.993', 'grad_norm': '8.505', 'learning_rate': '4.025e-07', 'epoch': '0.3062'} + 95%|██████████████████████████████▎ | 8511/9000 [7:29:45<44:18, 5.44s/it] {'lm_loss': '0.5648', 'visual_loss': '2.866', 'seg_loss': '0.5515', 'dino_loss': '0.9283', 'depth_loss': '0.2135', 'vggt_mse_loss': '0.2115', 'vggt_cos_loss': '0.02026', 'pidinet_loss': '0.2466', 'siglip_loss': '0.9263', 'epoch': '0.3062'} + 95%|██████████████████████████████▎ | 8511/9000 [7:29:47<44:18, 5.44s/it][Dataset] cur_step=8512 phase=D_mixed_covt +[Dataset] cur_step=8512 phase=D_mixed_covt[Dataset] cur_step=8512 phase=D_mixed_covt +[Dataset] cur_step=8512 phase=D_mixed_covt +[Dataset] cur_step=8512 phase=D_mixed_covt +[Dataset] cur_step=8512 phase=D_mixed_covt + +[Dataset] cur_step=8512 phase=D_mixed_covt + 95%|██████████████████████████████▎ | 8512/9000 [7:29:48<36:51, 4.53s/it][Dataset] cur_step=8512 phase=D_mixed_covt + {'loss': '3.134', 'grad_norm': '4.477', 'learning_rate': '4.008e-07', 'epoch': '0.3062'} + 95%|██████████████████████████████▎ | 8512/9000 [7:29:48<36:51, 4.53s/it] {'lm_loss': '0.4316', 'visual_loss': '2.481', 'seg_loss': '0.8419', 'dino_loss': '0.8946', 'depth_loss': '0.2207', 'vggt_mse_loss': '0.2191', 'vggt_cos_loss': '0.01593', 'pidinet_loss': '0.2325', 'siglip_loss': '0.2913', 'epoch': '0.3062'} + 95%|██████████████████████████████▎ | 8512/9000 [7:29:50<36:51, 4.53s/it][Dataset] cur_step=8513 phase=D_mixed_covt +[Dataset] cur_step=8513 phase=D_mixed_covt +[Dataset] cur_step=8513 phase=D_mixed_covt +[Dataset] cur_step=8513 phase=D_mixed_covt +[Dataset] cur_step=8513 phase=D_mixed_covt[Dataset] cur_step=8513 phase=D_mixed_covt +[Dataset] cur_step=8513 phase=D_mixed_covt + + 95%|██████████████████████████████▎ | 8513/9000 [7:29:50<32:14, 3.97s/it][Dataset] cur_step=8513 phase=D_mixed_covt + {'loss': '3.083', 'grad_norm': '4.7', 'learning_rate': '3.992e-07', 'epoch': '0.3063'} + 95%|██████████████████████████████▎ | 8513/9000 [7:29:50<32:14, 3.97s/it] {'lm_loss': '0.4891', 'visual_loss': '2.686', 'seg_loss': '0.581', 'dino_loss': '0.9208', 'depth_loss': '0.2197', 'vggt_mse_loss': '0.2182', 'vggt_cos_loss': '0.01523', 'pidinet_loss': '0.2645', 'siglip_loss': '0.7002', 'epoch': '0.3063'} + 95%|██████████████████████████████▎ | 8513/9000 [7:29:53<32:14, 3.97s/it][Dataset] cur_step=8514 phase=D_mixed_covt +[Dataset] cur_step=8514 phase=D_mixed_covt +[Dataset] cur_step=8514 phase=D_mixed_covt +[Dataset] cur_step=8514 phase=D_mixed_covt[Dataset] cur_step=8514 phase=D_mixed_covt + +[Dataset] cur_step=8514 phase=D_mixed_covt + 95%|██████████████████████████████▎ | 8514/9000 [7:29:54<31:28, 3.88s/it][Dataset] cur_step=8514 phase=D_mixed_covt +[Dataset] cur_step=8514 phase=D_mixed_covt + {'loss': '3.392', 'grad_norm': '2.069', 'learning_rate': '3.976e-07', 'epoch': '0.3063'} + 95%|██████████████████████████████▎ | 8514/9000 [7:29:54<31:28, 3.88s/it] {'lm_loss': '1.149', 'visual_loss': '2.028', 'seg_loss': '0.3454', 'dino_loss': '0.8815', 'depth_loss': '0.2332', 'vggt_mse_loss': '0.2319', 'vggt_cos_loss': '0.01366', 'pidinet_loss': '0.04839', 'siglip_loss': '0.5194', 'epoch': '0.3063'} + 95%|██████████████████████████████▎ | 8514/9000 [7:29:56<31:28, 3.88s/it][Dataset] cur_step=8515 phase=D_mixed_covt +[Dataset] cur_step=8515 phase=D_mixed_covt +[Dataset] cur_step=8515 phase=D_mixed_covt +[Dataset] cur_step=8515 phase=D_mixed_covt +[Dataset] cur_step=8515 phase=D_mixed_covt + 95%|██████████████████████████████▎ | 8515/9000 [7:29:56<26:59, 3.34s/it][Dataset] cur_step=8515 phase=D_mixed_covt +[Dataset] cur_step=8515 phase=D_mixed_covt +[Dataset] cur_step=8515 phase=D_mixed_covt + {'loss': '3.111', 'grad_norm': '3.693', 'learning_rate': '3.959e-07', 'epoch': '0.3063'} + 95%|██████████████████████████████▎ | 8515/9000 [7:29:56<26:59, 3.34s/it] {'lm_loss': '0.5203', 'visual_loss': '2.595', 'seg_loss': '0.7487', 'dino_loss': '0.9036', 'depth_loss': '0.1838', 'vggt_mse_loss': '0.1825', 'vggt_cos_loss': '0.01263', 'pidinet_loss': '0.1564', 'siglip_loss': '0.6029', 'epoch': '0.3063'} + 95%|██████████████████████████████▎ | 8515/9000 [7:29:58<26:59, 3.34s/it][Dataset] cur_step=8516 phase=D_mixed_covt +[Dataset] cur_step=8516 phase=D_mixed_covt +[Dataset] cur_step=8516 phase=D_mixed_covt +[Dataset] cur_step=8516 phase=D_mixed_covt +[Dataset] cur_step=8516 phase=D_mixed_covt[Dataset] cur_step=8516 phase=D_mixed_covt + + 95%|██████████████████████████████▎ | 8516/9000 [7:29:58<23:14, 2.88s/it][Dataset] cur_step=8516 phase=D_mixed_covt +[Dataset] cur_step=8516 phase=D_mixed_covt + {'loss': '3.226', 'grad_norm': '4.799', 'learning_rate': '3.943e-07', 'epoch': '0.3064'} + 95%|██████████████████████████████▎ | 8516/9000 [7:29:58<23:14, 2.88s/it] {'lm_loss': '0.7259', 'visual_loss': '1.941', 'seg_loss': '0.4547', 'dino_loss': '0.9381', 'depth_loss': '0.2298', 'vggt_mse_loss': '0.2282', 'vggt_cos_loss': '0.01586', 'pidinet_loss': '0.2125', 'siglip_loss': '0.1062', 'epoch': '0.3064'} + 95%|██████████████████████████████▎ | 8516/9000 [7:30:00<23:14, 2.88s/it][Dataset] cur_step=8517 phase=D_mixed_covt +[Dataset] cur_step=8517 phase=D_mixed_covt +[Dataset] cur_step=8517 phase=D_mixed_covt[Dataset] cur_step=8517 phase=D_mixed_covt + +[Dataset] cur_step=8517 phase=D_mixed_covt + 95%|██████████████████████████████▎ | 8517/9000 [7:30:00<21:19, 2.65s/it][Dataset] cur_step=8517 phase=D_mixed_covt[Dataset] cur_step=8517 phase=D_mixed_covt + +[Dataset] cur_step=8517 phase=D_mixed_covt + {'loss': '3.194', 'grad_norm': '7.695', 'learning_rate': '3.927e-07', 'epoch': '0.3064'} + 95%|██████████████████████████████▎ | 8517/9000 [7:30:00<21:19, 2.65s/it] {'lm_loss': '0.6717', 'visual_loss': '2.81', 'seg_loss': '0.6961', 'dino_loss': '0.9342', 'depth_loss': '0.3674', 'vggt_mse_loss': '0.3645', 'vggt_cos_loss': '0.02901', 'pidinet_loss': '0.2726', 'siglip_loss': '0.5396', 'epoch': '0.3064'} + 95%|██████████████████████████████▎ | 8517/9000 [7:30:02<21:19, 2.65s/it][Dataset] cur_step=8518 phase=D_mixed_covt +[Dataset] cur_step=8518 phase=D_mixed_covt +[Dataset] cur_step=8518 phase=D_mixed_covt +[Dataset] cur_step=8518 phase=D_mixed_covt +[Dataset] cur_step=8518 phase=D_mixed_covt[Dataset] cur_step=8518 phase=D_mixed_covt +[Dataset] cur_step=8518 phase=D_mixed_covt + + 95%|██████████████████████████████▎ | 8518/9000 [7:30:02<19:38, 2.44s/it][Dataset] cur_step=8518 phase=D_mixed_covt + {'loss': '3.485', 'grad_norm': '7.676', 'learning_rate': '3.911e-07', 'epoch': '0.3064'} + 95%|██████████████████████████████▎ | 8518/9000 [7:30:02<19:38, 2.44s/it] {'lm_loss': '0.7286', 'visual_loss': '2.771', 'seg_loss': '0.6902', 'dino_loss': '0.9623', 'depth_loss': '0.2137', 'vggt_mse_loss': '0.212', 'vggt_cos_loss': '0.01648', 'pidinet_loss': '0.2504', 'siglip_loss': '0.654', 'epoch': '0.3064'} + 95%|██████████████████████████████▎ | 8518/9000 [7:30:04<19:38, 2.44s/it][Dataset] cur_step=8519 phase=D_mixed_covt +[Dataset] cur_step=8519 phase=D_mixed_covt +[Dataset] cur_step=8519 phase=D_mixed_covt 95%|██████████████████████████████▎ | 8519/9000 [7:30:05<20:13, 2.52s/it] +[Dataset] cur_step=8519 phase=D_mixed_covt +[Dataset] cur_step=8519 phase=D_mixed_covt +[Dataset] cur_step=8519 phase=D_mixed_covt +[Dataset] cur_step=8519 phase=D_mixed_covt +[Dataset] cur_step=8519 phase=D_mixed_covt + {'loss': '3.28', 'grad_norm': '3.828', 'learning_rate': '3.894e-07', 'epoch': '0.3065'} + 95%|██████████████████████████████▎ | 8519/9000 [7:30:05<20:13, 2.52s/it] {'lm_loss': '0.7921', 'visual_loss': '1.287', 'seg_loss': '0.6123', 'dino_loss': '0', 'depth_loss': '0.3234', 'vggt_mse_loss': '0.3206', 'vggt_cos_loss': '0.02815', 'pidinet_loss': '0.3514', 'siglip_loss': '0', 'epoch': '0.3065'} + 95%|██████████████████████████████▎ | 8519/9000 [7:30:07<20:13, 2.52s/it][Dataset] cur_step=8520 phase=D_mixed_covt +[Dataset] cur_step=8520 phase=D_mixed_covt +[Dataset] cur_step=8520 phase=D_mixed_covt[Dataset] cur_step=8520 phase=D_mixed_covt +[Dataset] cur_step=8520 phase=D_mixed_covt + + 95%|██████████████████████████████▎ | 8520/9000 [7:30:07<20:04, 2.51s/it][Dataset] cur_step=8520 phase=D_mixed_covt +[Dataset] cur_step=8520 phase=D_mixed_covt +[Dataset] cur_step=8520 phase=D_mixed_covt + {'loss': '1.968', 'grad_norm': '6.316', 'learning_rate': '3.878e-07', 'epoch': '0.3065'} + 95%|██████████████████████████████▎ | 8520/9000 [7:30:07<20:04, 2.51s/it] {'lm_loss': '0.09881', 'visual_loss': '2.565', 'seg_loss': '0.7654', 'dino_loss': '0.8445', 'depth_loss': '0.1704', 'vggt_mse_loss': '0.1695', 'vggt_cos_loss': '0.009053', 'pidinet_loss': '0.183', 'siglip_loss': '0.6019', 'epoch': '0.3065'} + 95%|██████████████████████████████▎ | 8520/9000 [7:30:10<20:04, 2.51s/it][Dataset] cur_step=8521 phase=D_mixed_covt[Dataset] cur_step=8521 phase=D_mixed_covt + +[Dataset] cur_step=8521 phase=D_mixed_covt[Dataset] cur_step=8521 phase=D_mixed_covt +[Dataset] cur_step=8521 phase=D_mixed_covt +[Dataset] cur_step=8521 phase=D_mixed_covt + +[Dataset] cur_step=8521 phase=D_mixed_covt + 95%|██████████████████████████████▎ | 8521/9000 [7:30:11<22:42, 2.85s/it][Dataset] cur_step=8521 phase=D_mixed_covt + {'loss': '2.848', 'grad_norm': '1.968', 'learning_rate': '3.862e-07', 'epoch': '0.3065'} + 95%|██████████████████████████████▎ | 8521/9000 [7:30:11<22:42, 2.85s/it] {'lm_loss': '0.3714', 'visual_loss': '2.346', 'seg_loss': '0.5955', 'dino_loss': '0.8883', 'depth_loss': '0.3081', 'vggt_mse_loss': '0.306', 'vggt_cos_loss': '0.02144', 'pidinet_loss': '0.133', 'siglip_loss': '0.4208', 'epoch': '0.3065'} + 95%|██████████████████████████████▎ | 8521/9000 [7:30:14<22:42, 2.85s/it][Dataset] cur_step=8522 phase=D_mixed_covt[Dataset] cur_step=8522 phase=D_mixed_covt[Dataset] cur_step=8522 phase=D_mixed_covt + + +[Dataset] cur_step=8522 phase=D_mixed_covt + 95%|██████████████████████████████▎ | 8522/9000 [7:30:14<23:36, 2.96s/it][Dataset] cur_step=8522 phase=D_mixed_covt +[Dataset] cur_step=8522 phase=D_mixed_covt[Dataset] cur_step=8522 phase=D_mixed_covt + +[Dataset] cur_step=8522 phase=D_mixed_covt + {'loss': '3.099', 'grad_norm': '3.509', 'learning_rate': '3.846e-07', 'epoch': '0.3066'} + 95%|██████████████████████████████▎ | 8522/9000 [7:30:14<23:36, 2.96s/it] {'lm_loss': '0.5156', 'visual_loss': '2.663', 'seg_loss': '0.7924', 'dino_loss': '0.9299', 'depth_loss': '0.1798', 'vggt_mse_loss': '0.1788', 'vggt_cos_loss': '0.009897', 'pidinet_loss': '0.2067', 'siglip_loss': '0.5544', 'epoch': '0.3066'} + 95%|██████████████████████████████▎ | 8522/9000 [7:30:16<23:36, 2.96s/it][Dataset] cur_step=8523 phase=D_mixed_covt[Dataset] cur_step=8523 phase=D_mixed_covt + +[Dataset] cur_step=8523 phase=D_mixed_covt +[Dataset] cur_step=8523 phase=D_mixed_covt[Dataset] cur_step=8523 phase=D_mixed_covt + +[Dataset] cur_step=8523 phase=D_mixed_covt[Dataset] cur_step=8523 phase=D_mixed_covt + +[Dataset] cur_step=8523 phase=D_mixed_covt + 95%|██████████████████████████████▎ | 8523/9000 [7:30:17<22:51, 2.87s/it] {'loss': '3.36', 'grad_norm': '2.314', 'learning_rate': '3.83e-07', 'epoch': '0.3066'} + 95%|██████████████████████████████▎ | 8523/9000 [7:30:17<22:51, 2.87s/it] {'lm_loss': '0.5191', 'visual_loss': '2.474', 'seg_loss': '0.6989', 'dino_loss': '0.9523', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2587', 'siglip_loss': '0.5644', 'epoch': '0.3066'} + 95%|██████████████████████████████▎ | 8523/9000 [7:30:19<22:51, 2.87s/it][Dataset] cur_step=8524 phase=D_mixed_covt +[Dataset] cur_step=8524 phase=D_mixed_covt +[Dataset] cur_step=8524 phase=D_mixed_covt +[Dataset] cur_step=8524 phase=D_mixed_covt +[Dataset] cur_step=8524 phase=D_mixed_covt +[Dataset] cur_step=8524 phase=D_mixed_covt[Dataset] cur_step=8524 phase=D_mixed_covt + +[Dataset] cur_step=8524 phase=D_mixed_covt + 95%|██████████████████████████████▎ | 8524/9000 [7:30:20<23:14, 2.93s/it] {'loss': '3.039', 'grad_norm': '2.404', 'learning_rate': '3.814e-07', 'epoch': '0.3067'} + 95%|██████████████████████████████▎ | 8524/9000 [7:30:20<23:14, 2.93s/it] {'lm_loss': '0.5718', 'visual_loss': '2.652', 'seg_loss': '0.8143', 'dino_loss': '0.9222', 'depth_loss': '0.1907', 'vggt_mse_loss': '0.1891', 'vggt_cos_loss': '0.01587', 'pidinet_loss': '0.2295', 'siglip_loss': '0.4956', 'epoch': '0.3067'} + 95%|██████████████████████████████▎ | 8524/9000 [7:30:22<23:14, 2.93s/it][Dataset] cur_step=8525 phase=D_mixed_covt +[Dataset] cur_step=8525 phase=D_mixed_covt[Dataset] cur_step=8525 phase=D_mixed_covt + +[Dataset] cur_step=8525 phase=D_mixed_covt +[Dataset] cur_step=8525 phase=D_mixed_covt +[Dataset] cur_step=8525 phase=D_mixed_covt +[Dataset] cur_step=8525 phase=D_mixed_covt[Dataset] cur_step=8525 phase=D_mixed_covt + + 95%|██████████████████████████████▎ | 8525/9000 [7:30:23<22:28, 2.84s/it] {'loss': '3.379', 'grad_norm': '5.547', 'learning_rate': '3.798e-07', 'epoch': '0.3067'} + 95%|██████████████████████████████▎ | 8525/9000 [7:30:23<22:28, 2.84s/it] {'lm_loss': '0.8397', 'visual_loss': '2.676', 'seg_loss': '0.8317', 'dino_loss': '0.9335', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2782', 'siglip_loss': '0.6323', 'epoch': '0.3067'} + 95%|██████████████████████████████▎ | 8525/9000 [7:30:25<22:28, 2.84s/it][Dataset] cur_step=8526 phase=D_mixed_covt +[Dataset] cur_step=8526 phase=D_mixed_covt +[Dataset] cur_step=8526 phase=D_mixed_covt +[Dataset] cur_step=8526 phase=D_mixed_covt 95%|██████████████████████████████▎ | 8526/9000 [7:30:26<24:25, 3.09s/it] +[Dataset] cur_step=8526 phase=D_mixed_covt +[Dataset] cur_step=8526 phase=D_mixed_covt +[Dataset] cur_step=8526 phase=D_mixed_covt +[Dataset] cur_step=8526 phase=D_mixed_covt + {'loss': '3.21', 'grad_norm': '2.57', 'learning_rate': '3.782e-07', 'epoch': '0.3067'} + 95%|██████████████████████████████▎ | 8526/9000 [7:30:26<24:25, 3.09s/it] {'lm_loss': '0.6288', 'visual_loss': '2.336', 'seg_loss': '0.6617', 'dino_loss': '0.885', 'depth_loss': '0.2084', 'vggt_mse_loss': '0.2071', 'vggt_cos_loss': '0.01346', 'pidinet_loss': '0.2423', 'siglip_loss': '0.3385', 'epoch': '0.3067'} + 95%|██████████████████████████████▎ | 8526/9000 [7:30:28<24:25, 3.09s/it][Dataset] cur_step=8527 phase=D_mixed_covt +[Dataset] cur_step=8527 phase=D_mixed_covt + 95%|██████████████████████████████▎ | 8527/9000 [7:30:29<23:09, 2.94s/it][Dataset] cur_step=8527 phase=D_mixed_covt +[Dataset] cur_step=8527 phase=D_mixed_covt +[Dataset] cur_step=8527 phase=D_mixed_covt +[Dataset] cur_step=8527 phase=D_mixed_covt[Dataset] cur_step=8527 phase=D_mixed_covt + +[Dataset] cur_step=8527 phase=D_mixed_covt + {'loss': '3.027', 'grad_norm': '3.506', 'learning_rate': '3.766e-07', 'epoch': '0.3068'} + 95%|██████████████████████████████▎ | 8527/9000 [7:30:29<23:09, 2.94s/it] {'lm_loss': '0.3897', 'visual_loss': '3.22', 'seg_loss': '0.7227', 'dino_loss': '0.9052', 'depth_loss': '0.5746', 'vggt_mse_loss': '0.5703', 'vggt_cos_loss': '0.0433', 'pidinet_loss': '0.2214', 'siglip_loss': '0.7957', 'epoch': '0.3068'} + 95%|██████████████████████████████▎ | 8527/9000 [7:30:31<23:09, 2.94s/it][Dataset] cur_step=8528 phase=D_mixed_covt +[Dataset] cur_step=8528 phase=D_mixed_covt + 95%|██████████████████████████████▎ | 8528/9000 [7:30:32<23:24, 2.97s/it][Dataset] cur_step=8528 phase=D_mixed_covt +[Dataset] cur_step=8528 phase=D_mixed_covt +[Dataset] cur_step=8528 phase=D_mixed_covt[Dataset] cur_step=8528 phase=D_mixed_covt + +[Dataset] cur_step=8528 phase=D_mixed_covt +[Dataset] cur_step=8528 phase=D_mixed_covt + {'loss': '3.339', 'grad_norm': '3.235', 'learning_rate': '3.75e-07', 'epoch': '0.3068'} + 95%|██████████████████████████████▎ | 8528/9000 [7:30:32<23:24, 2.97s/it] {'lm_loss': '0.1089', 'visual_loss': '2.733', 'seg_loss': '0.8178', 'dino_loss': '0.8712', 'depth_loss': '0.2314', 'vggt_mse_loss': '0.2297', 'vggt_cos_loss': '0.01609', 'pidinet_loss': '0.2325', 'siglip_loss': '0.5802', 'epoch': '0.3068'} + 95%|██████████████████████████████▎ | 8528/9000 [7:30:34<23:24, 2.97s/it][Dataset] cur_step=8529 phase=D_mixed_covt +[Dataset] cur_step=8529 phase=D_mixed_covt +[Dataset] cur_step=8529 phase=D_mixed_covt[Dataset] cur_step=8529 phase=D_mixed_covt + +[Dataset] cur_step=8529 phase=D_mixed_covt +[Dataset] cur_step=8529 phase=D_mixed_covt + 95%|██████████████████████████████▎ | 8529/9000 [7:30:35<23:23, 2.98s/it][Dataset] cur_step=8529 phase=D_mixed_covt +[Dataset] cur_step=8529 phase=D_mixed_covt + {'loss': '3.373', 'grad_norm': '3.323', 'learning_rate': '3.735e-07', 'epoch': '0.3068'} + 95%|██████████████████████████████▎ | 8529/9000 [7:30:35<23:23, 2.98s/it] {'lm_loss': '0.5385', 'visual_loss': '2.895', 'seg_loss': '0.8296', 'dino_loss': '0.9027', 'depth_loss': '0.4664', 'vggt_mse_loss': '0.4609', 'vggt_cos_loss': '0.05535', 'pidinet_loss': '0.2545', 'siglip_loss': '0.4418', 'epoch': '0.3068'} + 95%|██████████████████████████████▎ | 8529/9000 [7:30:37<23:23, 2.98s/it][Dataset] cur_step=8530 phase=D_mixed_covt +[Dataset] cur_step=8530 phase=D_mixed_covt +[Dataset] cur_step=8530 phase=D_mixed_covt +[Dataset] cur_step=8530 phase=D_mixed_covt[Dataset] cur_step=8530 phase=D_mixed_covt + +[Dataset] cur_step=8530 phase=D_mixed_covt +[Dataset] cur_step=8530 phase=D_mixed_covt +[Dataset] cur_step=8530 phase=D_mixed_covt + 95%|██████████████████████████████▎ | 8530/9000 [7:30:38<23:04, 2.95s/it] {'loss': '3.058', 'grad_norm': '5.429', 'learning_rate': '3.719e-07', 'epoch': '0.3069'} + 95%|██████████████████████████████▎ | 8530/9000 [7:30:38<23:04, 2.95s/it] {'lm_loss': '0.5875', 'visual_loss': '2.928', 'seg_loss': '0.6667', 'dino_loss': '0.9387', 'depth_loss': '0.1889', 'vggt_mse_loss': '0.1875', 'vggt_cos_loss': '0.01416', 'pidinet_loss': '0.2487', 'siglip_loss': '0.8851', 'epoch': '0.3069'} + 95%|██████████████████████████████▎ | 8530/9000 [7:30:41<23:04, 2.95s/it][Dataset] cur_step=8531 phase=D_mixed_covt +[Dataset] cur_step=8531 phase=D_mixed_covt +[Dataset] cur_step=8531 phase=D_mixed_covt +[Dataset] cur_step=8531 phase=D_mixed_covt + 95%|██████████████████████████████▎ | 8531/9000 [7:30:41<24:26, 3.13s/it][Dataset] cur_step=8531 phase=D_mixed_covt +[Dataset] cur_step=8531 phase=D_mixed_covt[Dataset] cur_step=8531 phase=D_mixed_covt + +[Dataset] cur_step=8531 phase=D_mixed_covt + {'loss': '3.423', 'grad_norm': '2.993', 'learning_rate': '3.703e-07', 'epoch': '0.3069'} + 95%|██████████████████████████████▎ | 8531/9000 [7:30:41<24:26, 3.13s/it] {'lm_loss': '0.8801', 'visual_loss': '2.735', 'seg_loss': '0.8115', 'dino_loss': '0.8851', 'depth_loss': '0.1323', 'vggt_mse_loss': '0.1316', 'vggt_cos_loss': '0.007433', 'pidinet_loss': '0.2607', 'siglip_loss': '0.6457', 'epoch': '0.3069'} + 95%|██████████████████████████████▎ | 8531/9000 [7:30:44<24:26, 3.13s/it][Dataset] cur_step=8532 phase=D_mixed_covt +[Dataset] cur_step=8532 phase=D_mixed_covt +[Dataset] cur_step=8532 phase=D_mixed_covt[Dataset] cur_step=8532 phase=D_mixed_covt + +[Dataset] cur_step=8532 phase=D_mixed_covt +[Dataset] cur_step=8532 phase=D_mixed_covt 95%|██████████████████████████████▎ | 8532/9000 [7:30:45<25:17, 3.24s/it] +[Dataset] cur_step=8532 phase=D_mixed_covt +[Dataset] cur_step=8532 phase=D_mixed_covt + {'loss': '3.27', 'grad_norm': '4.151', 'learning_rate': '3.687e-07', 'epoch': '0.3069'} + 95%|██████████████████████████████▎ | 8532/9000 [7:30:45<25:17, 3.24s/it] {'lm_loss': '0.811', 'visual_loss': '2.627', 'seg_loss': '0.65', 'dino_loss': '0.8788', 'depth_loss': '0.2065', 'vggt_mse_loss': '0.2051', 'vggt_cos_loss': '0.01403', 'pidinet_loss': '0.241', 'siglip_loss': '0.651', 'epoch': '0.3069'} + 95%|██████████████████████████████▎ | 8532/9000 [7:30:47<25:17, 3.24s/it][Dataset] cur_step=8533 phase=D_mixed_covt +[Dataset] cur_step=8533 phase=D_mixed_covt +[Dataset] cur_step=8533 phase=D_mixed_covt +[Dataset] cur_step=8533 phase=D_mixed_covt[Dataset] cur_step=8533 phase=D_mixed_covt + +[Dataset] cur_step=8533 phase=D_mixed_covt[Dataset] cur_step=8533 phase=D_mixed_covt + + 95%|██████████████████████████████▎ | 8533/9000 [7:30:48<24:48, 3.19s/it][Dataset] cur_step=8533 phase=D_mixed_covt + {'loss': '3.204', 'grad_norm': '4.719', 'learning_rate': '3.672e-07', 'epoch': '0.307'} + 95%|██████████████████████████████▎ | 8533/9000 [7:30:48<24:48, 3.19s/it] {'lm_loss': '0.253', 'visual_loss': '2.582', 'seg_loss': '0.7167', 'dino_loss': '0.9176', 'depth_loss': '0.2679', 'vggt_mse_loss': '0.266', 'vggt_cos_loss': '0.0187', 'pidinet_loss': '0.2049', 'siglip_loss': '0.4755', 'epoch': '0.307'} + 95%|██████████████████████████████▎ | 8533/9000 [7:30:50<24:48, 3.19s/it][Dataset] cur_step=8534 phase=D_mixed_covt +[Dataset] cur_step=8534 phase=D_mixed_covt +[Dataset] cur_step=8534 phase=D_mixed_covt +[Dataset] cur_step=8534 phase=D_mixed_covt +[Dataset] cur_step=8534 phase=D_mixed_covt[Dataset] cur_step=8534 phase=D_mixed_covt + +[Dataset] cur_step=8534 phase=D_mixed_covt 95%|██████████████████████████████▎ | 8534/9000 [7:30:51<24:44, 3.19s/it] +[Dataset] cur_step=8534 phase=D_mixed_covt + {'loss': '3.129', 'grad_norm': '5.623', 'learning_rate': '3.656e-07', 'epoch': '0.307'} + 95%|██████████████████████████████▎ | 8534/9000 [7:30:51<24:44, 3.19s/it] {'lm_loss': '0.6814', 'visual_loss': '2.518', 'seg_loss': '0.8024', 'dino_loss': '0.8957', 'depth_loss': '0.155', 'vggt_mse_loss': '0.1537', 'vggt_cos_loss': '0.01341', 'pidinet_loss': '0.202', 'siglip_loss': '0.4625', 'epoch': '0.307'} + 95%|██████████████████████████████▎ | 8534/9000 [7:30:53<24:44, 3.19s/it][Dataset] cur_step=8535 phase=D_mixed_covt +[Dataset] cur_step=8535 phase=D_mixed_covt +[Dataset] cur_step=8535 phase=D_mixed_covt +[Dataset] cur_step=8535 phase=D_mixed_covt + 95%|██████████████████████████████▎ | 8535/9000 [7:30:53<23:04, 2.98s/it][Dataset] cur_step=8535 phase=D_mixed_covt +[Dataset] cur_step=8535 phase=D_mixed_covt +[Dataset] cur_step=8535 phase=D_mixed_covt +[Dataset] cur_step=8535 phase=D_mixed_covt + {'loss': '3.157', 'grad_norm': '3.604', 'learning_rate': '3.64e-07', 'epoch': '0.307'} + 95%|██████████████████████████████▎ | 8535/9000 [7:30:53<23:04, 2.98s/it] {'lm_loss': '0.5078', 'visual_loss': '2.809', 'seg_loss': '0.6913', 'dino_loss': '0.9432', 'depth_loss': '0.2373', 'vggt_mse_loss': '0.2355', 'vggt_cos_loss': '0.01784', 'pidinet_loss': '0.1143', 'siglip_loss': '0.8233', 'epoch': '0.307'} + 95%|██████████████████████████████▎ | 8535/9000 [7:30:56<23:04, 2.98s/it][Dataset] cur_step=8536 phase=D_mixed_covt +[Dataset] cur_step=8536 phase=D_mixed_covt +[Dataset] cur_step=8536 phase=D_mixed_covt +[Dataset] cur_step=8536 phase=D_mixed_covt +[Dataset] cur_step=8536 phase=D_mixed_covt[Dataset] cur_step=8536 phase=D_mixed_covt[Dataset] cur_step=8536 phase=D_mixed_covt + + + 95%|██████████████████████████████▎ | 8536/9000 [7:30:57<23:21, 3.02s/it][Dataset] cur_step=8536 phase=D_mixed_covt + {'loss': '3.095', 'grad_norm': '2.394', 'learning_rate': '3.625e-07', 'epoch': '0.3071'} + 95%|██████████████████████████████▎ | 8536/9000 [7:30:57<23:21, 3.02s/it] {'lm_loss': '0.05605', 'visual_loss': '2.542', 'seg_loss': '0.5473', 'dino_loss': '0.9692', 'depth_loss': '0.1916', 'vggt_mse_loss': '0.1902', 'vggt_cos_loss': '0.01394', 'pidinet_loss': '0.133', 'siglip_loss': '0.7006', 'epoch': '0.3071'} + 95%|██████████████████████████████▎ | 8536/9000 [7:30:59<23:21, 3.02s/it][Dataset] cur_step=8537 phase=D_mixed_covt[Dataset] cur_step=8537 phase=D_mixed_covt + +[Dataset] cur_step=8537 phase=D_mixed_covt[Dataset] cur_step=8537 phase=D_mixed_covt[Dataset] cur_step=8537 phase=D_mixed_covt + + + 95%|██████████████████████████████▎ | 8537/9000 [7:30:59<22:29, 2.91s/it][Dataset] cur_step=8537 phase=D_mixed_covt +[Dataset] cur_step=8537 phase=D_mixed_covt +[Dataset] cur_step=8537 phase=D_mixed_covt + {'loss': '3.049', 'grad_norm': '2.655', 'learning_rate': '3.609e-07', 'epoch': '0.3071'} + 95%|██████████████████████████████▎ | 8537/9000 [7:30:59<22:29, 2.91s/it] {'lm_loss': '0.5227', 'visual_loss': '2.806', 'seg_loss': '0.7958', 'dino_loss': '0.9269', 'depth_loss': '0.3097', 'vggt_mse_loss': '0.3078', 'vggt_cos_loss': '0.01943', 'pidinet_loss': '0.3031', 'siglip_loss': '0.47', 'epoch': '0.3071'} + 95%|██████████████████████████████▎ | 8537/9000 [7:31:01<22:29, 2.91s/it][Dataset] cur_step=8538 phase=D_mixed_covt[Dataset] cur_step=8538 phase=D_mixed_covt + +[Dataset] cur_step=8538 phase=D_mixed_covt +[Dataset] cur_step=8538 phase=D_mixed_covt +[Dataset] cur_step=8538 phase=D_mixed_covt +[Dataset] cur_step=8538 phase=D_mixed_covt + 95%|██████████████████████████████▎ | 8538/9000 [7:31:02<21:30, 2.79s/it][Dataset] cur_step=8538 phase=D_mixed_covt +[Dataset] cur_step=8538 phase=D_mixed_covt + {'loss': '3.318', 'grad_norm': '5.087', 'learning_rate': '3.594e-07', 'epoch': '0.3072'} + 95%|██████████████████████████████▎ | 8538/9000 [7:31:02<21:30, 2.79s/it] {'lm_loss': '0.6296', 'visual_loss': '2.492', 'seg_loss': '0.3777', 'dino_loss': '0.8812', 'depth_loss': '0.2494', 'vggt_mse_loss': '0.248', 'vggt_cos_loss': '0.01441', 'pidinet_loss': '0.303', 'siglip_loss': '0.6806', 'epoch': '0.3072'} + 95%|██████████████████████████████▎ | 8538/9000 [7:31:04<21:30, 2.79s/it][Dataset] cur_step=8539 phase=D_mixed_covt +[Dataset] cur_step=8539 phase=D_mixed_covt +[Dataset] cur_step=8539 phase=D_mixed_covt[Dataset] cur_step=8539 phase=D_mixed_covt[Dataset] cur_step=8539 phase=D_mixed_covt +[Dataset] cur_step=8539 phase=D_mixed_covt + +[Dataset] cur_step=8539 phase=D_mixed_covt +[Dataset] cur_step=8539 phase=D_mixed_covt + + 95%|██████████████████████████████▎ | 8539/9000 [7:31:04<20:35, 2.68s/it] {'loss': '3.396', 'grad_norm': '2.283', 'learning_rate': '3.578e-07', 'epoch': '0.3072'} + 95%|██████████████████████████████▎ | 8539/9000 [7:31:04<20:35, 2.68s/it] {'lm_loss': '0.5637', 'visual_loss': '2.233', 'seg_loss': '0.5105', 'dino_loss': '0.8272', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.3617', 'siglip_loss': '0.5333', 'epoch': '0.3072'} + 95%|██████████████████████████████▎ | 8539/9000 [7:31:05<20:35, 2.68s/it][Dataset] cur_step=8540 phase=D_mixed_covt +[Dataset] cur_step=8540 phase=D_mixed_covt +[Dataset] cur_step=8540 phase=D_mixed_covt[Dataset] cur_step=8540 phase=D_mixed_covt + +[Dataset] cur_step=8540 phase=D_mixed_covt[Dataset] cur_step=8540 phase=D_mixed_covt + +[Dataset] cur_step=8540 phase=D_mixed_covt + 95%|██████████████████████████████▎ | 8540/9000 [7:31:06<18:07, 2.36s/it][Dataset] cur_step=8540 phase=D_mixed_covt + {'loss': '3.087', 'grad_norm': '9.335', 'learning_rate': '3.563e-07', 'epoch': '0.3072'} + 95%|██████████████████████████████▎ | 8540/9000 [7:31:06<18:07, 2.36s/it] {'lm_loss': '0.09452', 'visual_loss': '2.636', 'seg_loss': '0.6319', 'dino_loss': '0.888', 'depth_loss': '0.2047', 'vggt_mse_loss': '0.2036', 'vggt_cos_loss': '0.01095', 'pidinet_loss': '0.22', 'siglip_loss': '0.6918', 'epoch': '0.3072'} + 95%|██████████████████████████████▎ | 8540/9000 [7:31:07<18:07, 2.36s/it][Dataset] cur_step=8541 phase=D_mixed_covt +[Dataset] cur_step=8541 phase=D_mixed_covt +[Dataset] cur_step=8541 phase=D_mixed_covt +[Dataset] cur_step=8541 phase=D_mixed_covt +[Dataset] cur_step=8541 phase=D_mixed_covt +[Dataset] cur_step=8541 phase=D_mixed_covt + 95%|██████████████████████████████▎ | 8541/9000 [7:31:08<17:09, 2.24s/it][Dataset] cur_step=8541 phase=D_mixed_covt[Dataset] cur_step=8541 phase=D_mixed_covt + + {'loss': '3.146', 'grad_norm': '9.35', 'learning_rate': '3.547e-07', 'epoch': '0.3073'} + 95%|██████████████████████████████▎ | 8541/9000 [7:31:08<17:09, 2.24s/it] {'lm_loss': '0.172', 'visual_loss': '1.442', 'seg_loss': '0', 'dino_loss': '0.8909', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.1747', 'siglip_loss': '0.3761', 'epoch': '0.3073'} + 95%|██████████████████████████████▎ | 8541/9000 [7:31:08<17:09, 2.24s/it][Dataset] cur_step=8542 phase=D_mixed_covt +[Dataset] cur_step=8542 phase=D_mixed_covt +[Dataset] cur_step=8542 phase=D_mixed_covt +[Dataset] cur_step=8542 phase=D_mixed_covt +[Dataset] cur_step=8542 phase=D_mixed_covt + 95%|██████████████████████████████▎ | 8542/9000 [7:31:09<13:54, 1.82s/it][Dataset] cur_step=8542 phase=D_mixed_covt +[Dataset] cur_step=8542 phase=D_mixed_covt +[Dataset] cur_step=8542 phase=D_mixed_covt + {'loss': '2.63', 'grad_norm': '2.898', 'learning_rate': '3.532e-07', 'epoch': '0.3073'} + 95%|██████████████████████████████▎ | 8542/9000 [7:31:09<13:54, 1.82s/it] {'lm_loss': '0.6764', 'visual_loss': '2.438', 'seg_loss': '0.6724', 'dino_loss': '0.9452', 'depth_loss': '0.2022', 'vggt_mse_loss': '0.2008', 'vggt_cos_loss': '0.01343', 'pidinet_loss': '0.1433', 'siglip_loss': '0.4752', 'epoch': '0.3073'} + 95%|██████████████████████████████▎ | 8542/9000 [7:31:10<13:54, 1.82s/it][Dataset] cur_step=8543 phase=D_mixed_covt +[Dataset] cur_step=8543 phase=D_mixed_covt +[Dataset] cur_step=8543 phase=D_mixed_covt +[Dataset] cur_step=8543 phase=D_mixed_covt +[Dataset] cur_step=8543 phase=D_mixed_covt +[Dataset] cur_step=8543 phase=D_mixed_covt +[Dataset] cur_step=8543 phase=D_mixed_covt +[Dataset] cur_step=8543 phase=D_mixed_covt + 95%|██████████████████████████████▍ | 8543/9000 [7:31:11<15:24, 2.02s/it] {'loss': '3.35', 'grad_norm': '3.2', 'learning_rate': '3.516e-07', 'epoch': '0.3073'} + 95%|██████████████████████████████▍ | 8543/9000 [7:31:11<15:24, 2.02s/it] {'lm_loss': '0.3868', 'visual_loss': '2.693', 'seg_loss': '0.6157', 'dino_loss': '0.939', 'depth_loss': '0.2406', 'vggt_mse_loss': '0.2388', 'vggt_cos_loss': '0.01833', 'pidinet_loss': '0.2273', 'siglip_loss': '0.6706', 'epoch': '0.3073'} + 95%|██████████████████████████████▍ | 8543/9000 [7:31:13<15:24, 2.02s/it][Dataset] cur_step=8544 phase=D_mixed_covt +[Dataset] cur_step=8544 phase=D_mixed_covt +[Dataset] cur_step=8544 phase=D_mixed_covt + 95%|██████████████████████████████▍ | 8544/9000 [7:31:14<16:34, 2.18s/it][Dataset] cur_step=8544 phase=D_mixed_covt[Dataset] cur_step=8544 phase=D_mixed_covt + +[Dataset] cur_step=8544 phase=D_mixed_covt +[Dataset] cur_step=8544 phase=D_mixed_covt[Dataset] cur_step=8544 phase=D_mixed_covt + + {'loss': '2.981', 'grad_norm': '3.173', 'learning_rate': '3.501e-07', 'epoch': '0.3074'} + 95%|██████████████████████████████▍ | 8544/9000 [7:31:14<16:34, 2.18s/it] {'lm_loss': '0.4911', 'visual_loss': '2.113', 'seg_loss': '0.7624', 'dino_loss': '0.891', 'depth_loss': '0.1938', 'vggt_mse_loss': '0.192', 'vggt_cos_loss': '0.01761', 'pidinet_loss': '0.2656', 'siglip_loss': '0', 'epoch': '0.3074'} + 95%|██████████████████████████████▍ | 8544/9000 [7:31:16<16:34, 2.18s/it][Dataset] cur_step=8545 phase=D_mixed_covt +[Dataset] cur_step=8545 phase=D_mixed_covt[Dataset] cur_step=8545 phase=D_mixed_covt + +[Dataset] cur_step=8545 phase=D_mixed_covt +[Dataset] cur_step=8545 phase=D_mixed_covt[Dataset] cur_step=8545 phase=D_mixed_covt + +[Dataset] cur_step=8545 phase=D_mixed_covt + 95%|██████████████████████████████▍ | 8545/9000 [7:31:16<17:27, 2.30s/it][Dataset] cur_step=8545 phase=D_mixed_covt + {'loss': '2.629', 'grad_norm': '4.263', 'learning_rate': '3.486e-07', 'epoch': '0.3074'} + 95%|██████████████████████████████▍ | 8545/9000 [7:31:16<17:27, 2.30s/it] {'lm_loss': '0.6635', 'visual_loss': '2.521', 'seg_loss': '0.691', 'dino_loss': '0.9188', 'depth_loss': '0.2359', 'vggt_mse_loss': '0.2342', 'vggt_cos_loss': '0.01732', 'pidinet_loss': '0.3081', 'siglip_loss': '0.367', 'epoch': '0.3074'} + 95%|██████████████████████████████▍ | 8545/9000 [7:31:18<17:27, 2.30s/it][Dataset] cur_step=8546 phase=D_mixed_covt +[Dataset] cur_step=8546 phase=D_mixed_covt[Dataset] cur_step=8546 phase=D_mixed_covt + +[Dataset] cur_step=8546 phase=D_mixed_covt +[Dataset] cur_step=8546 phase=D_mixed_covt[Dataset] cur_step=8546 phase=D_mixed_covt + + 95%|██████████████████████████████▍ | 8546/9000 [7:31:18<16:31, 2.18s/it][Dataset] cur_step=8546 phase=D_mixed_covt[Dataset] cur_step=8546 phase=D_mixed_covt + + {'loss': '3.271', 'grad_norm': '5.217', 'learning_rate': '3.47e-07', 'epoch': '0.3074'} + 95%|██████████████████████████████▍ | 8546/9000 [7:31:18<16:31, 2.18s/it] {'lm_loss': '0.4539', 'visual_loss': '2.53', 'seg_loss': '0.6568', 'dino_loss': '0.9147', 'depth_loss': '0.221', 'vggt_mse_loss': '0.2194', 'vggt_cos_loss': '0.01676', 'pidinet_loss': '0.2436', 'siglip_loss': '0.494', 'epoch': '0.3074'} + 95%|██████████████████████████████▍ | 8546/9000 [7:31:21<16:31, 2.18s/it][Dataset] cur_step=8547 phase=D_mixed_covt[Dataset] cur_step=8547 phase=D_mixed_covt[Dataset] cur_step=8547 phase=D_mixed_covt[Dataset] cur_step=8547 phase=D_mixed_covt + + + + 95%|██████████████████████████████▍ | 8547/9000 [7:31:21<18:50, 2.50s/it][Dataset] cur_step=8547 phase=D_mixed_covt +[Dataset] cur_step=8547 phase=D_mixed_covt[Dataset] cur_step=8547 phase=D_mixed_covt + +[Dataset] cur_step=8547 phase=D_mixed_covt + {'loss': '3.175', 'grad_norm': '2.289', 'learning_rate': '3.455e-07', 'epoch': '0.3075'} + 95%|██████████████████████████████▍ | 8547/9000 [7:31:21<18:50, 2.50s/it] {'lm_loss': '0.8955', 'visual_loss': '2.105', 'seg_loss': '0.5417', 'dino_loss': '0.8458', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2679', 'siglip_loss': '0.4495', 'epoch': '0.3075'} + 95%|██████████████████████████████▍ | 8547/9000 [7:31:23<18:50, 2.50s/it][Dataset] cur_step=8548 phase=D_mixed_covt[Dataset] cur_step=8548 phase=D_mixed_covt +[Dataset] cur_step=8548 phase=D_mixed_covt + +[Dataset] cur_step=8548 phase=D_mixed_covt[Dataset] cur_step=8548 phase=D_mixed_covt + + 95%|██████████████████████████████▍ | 8548/9000 [7:31:23<17:01, 2.26s/it][Dataset] cur_step=8548 phase=D_mixed_covt +[Dataset] cur_step=8548 phase=D_mixed_covt +[Dataset] cur_step=8548 phase=D_mixed_covt + {'loss': '3.113', 'grad_norm': '3.274', 'learning_rate': '3.44e-07', 'epoch': '0.3075'} + 95%|██████████████████████████████▍ | 8548/9000 [7:31:23<17:01, 2.26s/it] {'lm_loss': '0.4551', 'visual_loss': '2.891', 'seg_loss': '0.7466', 'dino_loss': '0.9495', 'depth_loss': '0.3364', 'vggt_mse_loss': '0.3338', 'vggt_cos_loss': '0.02589', 'pidinet_loss': '0.195', 'siglip_loss': '0.663', 'epoch': '0.3075'} + 95%|██████████████████████████████▍ | 8548/9000 [7:31:26<17:01, 2.26s/it][Dataset] cur_step=8549 phase=D_mixed_covt +[Dataset] cur_step=8549 phase=D_mixed_covt[Dataset] cur_step=8549 phase=D_mixed_covt + +[Dataset] cur_step=8549 phase=D_mixed_covt[Dataset] cur_step=8549 phase=D_mixed_covt[Dataset] cur_step=8549 phase=D_mixed_covt + +[Dataset] cur_step=8549 phase=D_mixed_covt + +[Dataset] cur_step=8549 phase=D_mixed_covt + 95%|██████████████████████████████▍ | 8549/9000 [7:31:26<18:59, 2.53s/it] {'loss': '3.323', 'grad_norm': '3.93', 'learning_rate': '3.425e-07', 'epoch': '0.3076'} + 95%|██████████████████████████████▍ | 8549/9000 [7:31:26<18:59, 2.53s/it] {'lm_loss': '0.08516', 'visual_loss': '2.523', 'seg_loss': '0.71', 'dino_loss': '0.8696', 'depth_loss': '0.1984', 'vggt_mse_loss': '0.1973', 'vggt_cos_loss': '0.01109', 'pidinet_loss': '0.2249', 'siglip_loss': '0.5205', 'epoch': '0.3076'} + 95%|██████████████████████████████▍ | 8549/9000 [7:31:27<18:59, 2.53s/it][Dataset] cur_step=8550 phase=D_mixed_covt +[Dataset] cur_step=8550 phase=D_mixed_covt + 95%|██████████████████████████████▍ | 8550/9000 [7:31:28<17:35, 2.34s/it][Dataset] cur_step=8550 phase=D_mixed_covt +[Dataset] cur_step=8550 phase=D_mixed_covt +[Dataset] cur_step=8550 phase=D_mixed_covt +[Dataset] cur_step=8550 phase=D_mixed_covt +[Dataset] cur_step=8550 phase=D_mixed_covt +[Dataset] cur_step=8550 phase=D_mixed_covt + {'loss': '3.138', 'grad_norm': '3.323', 'learning_rate': '3.41e-07', 'epoch': '0.3076'} + 95%|██████████████████████████████▍ | 8550/9000 [7:31:28<17:35, 2.34s/it] {'lm_loss': '0.05844', 'visual_loss': '2.39', 'seg_loss': '0.6098', 'dino_loss': '0.8666', 'depth_loss': '0.2302', 'vggt_mse_loss': '0.2283', 'vggt_cos_loss': '0.01919', 'pidinet_loss': '0.2536', 'siglip_loss': '0.4296', 'epoch': '0.3076'} + 95%|██████████████████████████████▍ | 8550/9000 [7:31:31<17:35, 2.34s/it][Dataset] cur_step=8551 phase=D_mixed_covt +[Dataset] cur_step=8551 phase=D_mixed_covt +[Dataset] cur_step=8551 phase=D_mixed_covt[Dataset] cur_step=8551 phase=D_mixed_covt + + 95%|██████████████████████████████▍ | 8551/9000 [7:31:31<19:42, 2.63s/it][Dataset] cur_step=8551 phase=D_mixed_covt +[Dataset] cur_step=8551 phase=D_mixed_covt +[Dataset] cur_step=8551 phase=D_mixed_covt +[Dataset] cur_step=8551 phase=D_mixed_covt + {'loss': '2.987', 'grad_norm': '2.836', 'learning_rate': '3.395e-07', 'epoch': '0.3076'} + 95%|██████████████████████████████▍ | 8551/9000 [7:31:31<19:42, 2.63s/it] {'lm_loss': '0.07259', 'visual_loss': '2.817', 'seg_loss': '0.9284', 'dino_loss': '0.8991', 'depth_loss': '0.2543', 'vggt_mse_loss': '0.2525', 'vggt_cos_loss': '0.01819', 'pidinet_loss': '0.3167', 'siglip_loss': '0.4182', 'epoch': '0.3076'} + 95%|██████████████████████████████▍ | 8551/9000 [7:31:33<19:42, 2.63s/it][Dataset] cur_step=8552 phase=D_mixed_covt[Dataset] cur_step=8552 phase=D_mixed_covt + +[Dataset] cur_step=8552 phase=D_mixed_covt +[Dataset] cur_step=8552 phase=D_mixed_covt +[Dataset] cur_step=8552 phase=D_mixed_covt +[Dataset] cur_step=8552 phase=D_mixed_covt + 95%|██████████████████████████████▍ | 8552/9000 [7:31:34<18:33, 2.49s/it][Dataset] cur_step=8552 phase=D_mixed_covt +[Dataset] cur_step=8552 phase=D_mixed_covt + {'loss': '3.266', 'grad_norm': '3.363', 'learning_rate': '3.38e-07', 'epoch': '0.3077'} + 95%|██████████████████████████████▍ | 8552/9000 [7:31:34<18:33, 2.49s/it] {'lm_loss': '0.5167', 'visual_loss': '2.606', 'seg_loss': '0.6937', 'dino_loss': '0.9224', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.3202', 'siglip_loss': '0.6698', 'epoch': '0.3077'} + 95%|██████████████████████████████▍ | 8552/9000 [7:31:35<18:33, 2.49s/it][Dataset] cur_step=8553 phase=D_mixed_covt +[Dataset] cur_step=8553 phase=D_mixed_covt[Dataset] cur_step=8553 phase=D_mixed_covt + +[Dataset] cur_step=8553 phase=D_mixed_covt[Dataset] cur_step=8553 phase=D_mixed_covt + + 95%|██████████████████████████████▍ | 8553/9000 [7:31:36<18:11, 2.44s/it][Dataset] cur_step=8553 phase=D_mixed_covt +[Dataset] cur_step=8553 phase=D_mixed_covt +[Dataset] cur_step=8553 phase=D_mixed_covt + {'loss': '3.205', 'grad_norm': '2.103', 'learning_rate': '3.364e-07', 'epoch': '0.3077'} + 95%|██████████████████████████████▍ | 8553/9000 [7:31:36<18:11, 2.44s/it] {'lm_loss': '0.6012', 'visual_loss': '2.805', 'seg_loss': '0.6271', 'dino_loss': '0.9222', 'depth_loss': '0.2775', 'vggt_mse_loss': '0.276', 'vggt_cos_loss': '0.0144', 'pidinet_loss': '0.2635', 'siglip_loss': '0.7146', 'epoch': '0.3077'} + 95%|██████████████████████████████▍ | 8553/9000 [7:31:37<18:11, 2.44s/it][Dataset] cur_step=8554 phase=D_mixed_covt +[Dataset] cur_step=8554 phase=D_mixed_covt +[Dataset] cur_step=8554 phase=D_mixed_covt +[Dataset] cur_step=8554 phase=D_mixed_covt +[Dataset] cur_step=8554 phase=D_mixed_covt[Dataset] cur_step=8554 phase=D_mixed_covt + +[Dataset] cur_step=8554 phase=D_mixed_covt 95%|██████████████████████████████▍ | 8554/9000 [7:31:38<16:59, 2.29s/it] +[Dataset] cur_step=8554 phase=D_mixed_covt + {'loss': '3.436', 'grad_norm': '4.817', 'learning_rate': '3.349e-07', 'epoch': '0.3077'} + 95%|██████████████████████████████▍ | 8554/9000 [7:31:38<16:59, 2.29s/it] {'lm_loss': '0.6542', 'visual_loss': '2.879', 'seg_loss': '0.6846', 'dino_loss': '0.9202', 'depth_loss': '0.3712', 'vggt_mse_loss': '0.3678', 'vggt_cos_loss': '0.03366', 'pidinet_loss': '0.2286', 'siglip_loss': '0.674', 'epoch': '0.3077'} + 95%|██████████████████████████████▍ | 8554/9000 [7:31:39<16:59, 2.29s/it][Dataset] cur_step=8555 phase=D_mixed_covt + 95%|██████████████████████████████▍ | 8555/9000 [7:31:40<15:46, 2.13s/it][Dataset] cur_step=8555 phase=D_mixed_covt[Dataset] cur_step=8555 phase=D_mixed_covt + +[Dataset] cur_step=8555 phase=D_mixed_covt +[Dataset] cur_step=8555 phase=D_mixed_covt +[Dataset] cur_step=8555 phase=D_mixed_covt[Dataset] cur_step=8555 phase=D_mixed_covt + +[Dataset] cur_step=8555 phase=D_mixed_covt + {'loss': '3.508', 'grad_norm': '3.077', 'learning_rate': '3.334e-07', 'epoch': '0.3078'} + 95%|██████████████████████████████▍ | 8555/9000 [7:31:40<15:46, 2.13s/it] {'lm_loss': '0.03118', 'visual_loss': '2.656', 'seg_loss': '0.7646', 'dino_loss': '0.9246', 'depth_loss': '0.2638', 'vggt_mse_loss': '0.2617', 'vggt_cos_loss': '0.0209', 'pidinet_loss': '0.2076', 'siglip_loss': '0.4949', 'epoch': '0.3078'} + 95%|██████████████████████████████▍ | 8555/9000 [7:31:43<15:46, 2.13s/it][Dataset] cur_step=8556 phase=D_mixed_covt +[Dataset] cur_step=8556 phase=D_mixed_covt + 95%|██████████████████████████████▍ | 8556/9000 [7:31:44<19:49, 2.68s/it][Dataset] cur_step=8556 phase=D_mixed_covt[Dataset] cur_step=8556 phase=D_mixed_covt + +[Dataset] cur_step=8556 phase=D_mixed_covt +[Dataset] cur_step=8556 phase=D_mixed_covt[Dataset] cur_step=8556 phase=D_mixed_covt + +[Dataset] cur_step=8556 phase=D_mixed_covt + {'loss': '3.134', 'grad_norm': '2.469', 'learning_rate': '3.32e-07', 'epoch': '0.3078'} + 95%|██████████████████████████████▍ | 8556/9000 [7:31:44<19:49, 2.68s/it] {'lm_loss': '0.7182', 'visual_loss': '2.762', 'seg_loss': '0.9084', 'dino_loss': '0.9458', 'depth_loss': '0.1863', 'vggt_mse_loss': '0.1849', 'vggt_cos_loss': '0.01346', 'pidinet_loss': '0.232', 'siglip_loss': '0.4895', 'epoch': '0.3078'} + 95%|██████████████████████████████▍ | 8556/9000 [7:31:45<19:49, 2.68s/it][Dataset] cur_step=8557 phase=D_mixed_covt +[Dataset] cur_step=8557 phase=D_mixed_covt +[Dataset] cur_step=8557 phase=D_mixed_covt +[Dataset] cur_step=8557 phase=D_mixed_covt +[Dataset] cur_step=8557 phase=D_mixed_covt +[Dataset] cur_step=8557 phase=D_mixed_covt +[Dataset] cur_step=8557 phase=D_mixed_covt + 95%|██████████████████████████████▍ | 8557/9000 [7:31:46<18:18, 2.48s/it][Dataset] cur_step=8557 phase=D_mixed_covt + {'loss': '3.22', 'grad_norm': '5.296', 'learning_rate': '3.305e-07', 'epoch': '0.3078'} + 95%|██████████████████████████████▍ | 8557/9000 [7:31:46<18:18, 2.48s/it] {'lm_loss': '0.9499', 'visual_loss': '2.749', 'seg_loss': '0.7612', 'dino_loss': '0.9067', 'depth_loss': '0.4026', 'vggt_mse_loss': '0.3999', 'vggt_cos_loss': '0.02733', 'pidinet_loss': '0.2194', 'siglip_loss': '0.4592', 'epoch': '0.3078'} + 95%|██████████████████████████████▍ | 8557/9000 [7:31:48<18:18, 2.48s/it][Dataset] cur_step=8558 phase=D_mixed_covt +[Dataset] cur_step=8558 phase=D_mixed_covt +[Dataset] cur_step=8558 phase=D_mixed_covt[Dataset] cur_step=8558 phase=D_mixed_covt + +[Dataset] cur_step=8558 phase=D_mixed_covt +[Dataset] cur_step=8558 phase=D_mixed_covt +[Dataset] cur_step=8558 phase=D_mixed_covt + 95%|██████████████████████████████▍ | 8558/9000 [7:31:49<19:56, 2.71s/it][Dataset] cur_step=8558 phase=D_mixed_covt + {'loss': '3.33', 'grad_norm': '3.722', 'learning_rate': '3.29e-07', 'epoch': '0.3079'} + 95%|██████████████████████████████▍ | 8558/9000 [7:31:49<19:56, 2.71s/it] {'lm_loss': '0.8193', 'visual_loss': '1.179', 'seg_loss': '0', 'dino_loss': '0.9618', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.06292', 'siglip_loss': '0.1546', 'epoch': '0.3079'} + 95%|██████████████████████████████▍ | 8558/9000 [7:31:49<19:56, 2.71s/it][Dataset] cur_step=8559 phase=D_mixed_covt +[Dataset] cur_step=8559 phase=D_mixed_covt +[Dataset] cur_step=8559 phase=D_mixed_covt[Dataset] cur_step=8559 phase=D_mixed_covt + +[Dataset] cur_step=8559 phase=D_mixed_covt + 95%|██████████████████████████████▍ | 8559/9000 [7:31:50<16:09, 2.20s/it][Dataset] cur_step=8559 phase=D_mixed_covt +[Dataset] cur_step=8559 phase=D_mixed_covt[Dataset] cur_step=8559 phase=D_mixed_covt + + {'loss': '2.21', 'grad_norm': '9.362', 'learning_rate': '3.275e-07', 'epoch': '0.3079'} + 95%|██████████████████████████████▍ | 8559/9000 [7:31:50<16:09, 2.20s/it] {'lm_loss': '0.4897', 'visual_loss': '2.621', 'seg_loss': '0.6519', 'dino_loss': '0.9416', 'depth_loss': '0.1957', 'vggt_mse_loss': '0.1943', 'vggt_cos_loss': '0.01368', 'pidinet_loss': '0.2521', 'siglip_loss': '0.5795', 'epoch': '0.3079'} + 95%|██████████████████████████████▍ | 8559/9000 [7:31:53<16:09, 2.20s/it][Dataset] cur_step=8560 phase=D_mixed_covt +[Dataset] cur_step=8560 phase=D_mixed_covt + 95%|██████████████████████████████▍ | 8560/9000 [7:31:53<19:15, 2.63s/it][Dataset] cur_step=8560 phase=D_mixed_covt +[Dataset] cur_step=8560 phase=D_mixed_covt[Dataset] cur_step=8560 phase=D_mixed_covt + +[Dataset] cur_step=8560 phase=D_mixed_covt +[Dataset] cur_step=8560 phase=D_mixed_covt +[Dataset] cur_step=8560 phase=D_mixed_covt + {'loss': '3.2', 'grad_norm': '2.221', 'learning_rate': '3.26e-07', 'epoch': '0.3079'} + 95%|██████████████████████████████▍ | 8560/9000 [7:31:53<19:15, 2.63s/it] {'lm_loss': '0.07276', 'visual_loss': '2.58', 'seg_loss': '0.6853', 'dino_loss': '0.9354', 'depth_loss': '0.3113', 'vggt_mse_loss': '0.3089', 'vggt_cos_loss': '0.02409', 'pidinet_loss': '0.2469', 'siglip_loss': '0.4014', 'epoch': '0.3079'} + 95%|██████████████████████████████▍ | 8560/9000 [7:31:55<19:15, 2.63s/it][Dataset] cur_step=8561 phase=D_mixed_covt +[Dataset] cur_step=8561 phase=D_mixed_covt[Dataset] cur_step=8561 phase=D_mixed_covt + +[Dataset] cur_step=8561 phase=D_mixed_covt +[Dataset] cur_step=8561 phase=D_mixed_covt +[Dataset] cur_step=8561 phase=D_mixed_covt +[Dataset] cur_step=8561 phase=D_mixed_covt + 95%|██████████████████████████████▍ | 8561/9000 [7:31:58<23:56, 3.27s/it][Dataset] cur_step=8561 phase=D_mixed_covt + {'loss': '3.235', 'grad_norm': '2.554', 'learning_rate': '3.245e-07', 'epoch': '0.308'} + 95%|██████████████████████████████▍ | 8561/9000 [7:31:58<23:56, 3.27s/it] {'lm_loss': '0.512', 'visual_loss': '2.343', 'seg_loss': '0.6343', 'dino_loss': '0.8947', 'depth_loss': '0.1823', 'vggt_mse_loss': '0.1809', 'vggt_cos_loss': '0.01322', 'pidinet_loss': '0.1929', 'siglip_loss': '0.4384', 'epoch': '0.308'} + 95%|██████████████████████████████▍ | 8561/9000 [7:32:02<23:56, 3.27s/it][Dataset] cur_step=8562 phase=D_mixed_covt +[Dataset] cur_step=8562 phase=D_mixed_covt +[Dataset] cur_step=8562 phase=D_mixed_covt[Dataset] cur_step=8562 phase=D_mixed_covt + + 95%|██████████████████████████████▍ | 8562/9000 [7:32:02<25:18, 3.47s/it][Dataset] cur_step=8562 phase=D_mixed_covt +[Dataset] cur_step=8562 phase=D_mixed_covt +[Dataset] cur_step=8562 phase=D_mixed_covt +[Dataset] cur_step=8562 phase=D_mixed_covt + {'loss': '3.221', 'grad_norm': '2.221', 'learning_rate': '3.231e-07', 'epoch': '0.308'} + 95%|██████████████████████████████▍ | 8562/9000 [7:32:02<25:18, 3.47s/it] {'lm_loss': '0.7253', 'visual_loss': '2.776', 'seg_loss': '0.6878', 'dino_loss': '0.9482', 'depth_loss': '0.2993', 'vggt_mse_loss': '0.2967', 'vggt_cos_loss': '0.02526', 'pidinet_loss': '0.2631', 'siglip_loss': '0.578', 'epoch': '0.308'} + 95%|██████████████████████████████▍ | 8562/9000 [7:32:07<25:18, 3.47s/it][Dataset] cur_step=8563 phase=D_mixed_covt + 95%|██████████████████████████████▍ | 8563/9000 [7:32:08<29:50, 4.10s/it][Dataset] cur_step=8563 phase=D_mixed_covt +[Dataset] cur_step=8563 phase=D_mixed_covt +[Dataset] cur_step=8563 phase=D_mixed_covt +[Dataset] cur_step=8563 phase=D_mixed_covt[Dataset] cur_step=8563 phase=D_mixed_covt + +[Dataset] cur_step=8563 phase=D_mixed_covt +[Dataset] cur_step=8563 phase=D_mixed_covt + {'loss': '3.071', 'grad_norm': '2.55', 'learning_rate': '3.216e-07', 'epoch': '0.3081'} + 95%|██████████████████████████████▍ | 8563/9000 [7:32:08<29:50, 4.10s/it] {'lm_loss': '0.5594', 'visual_loss': '2.215', 'seg_loss': '0.5732', 'dino_loss': '0.9137', 'depth_loss': '0.2493', 'vggt_mse_loss': '0.2474', 'vggt_cos_loss': '0.01913', 'pidinet_loss': '0.1718', 'siglip_loss': '0.3066', 'epoch': '0.3081'} + 95%|██████████████████████████████▍ | 8563/9000 [7:32:10<29:50, 4.10s/it][Dataset] cur_step=8564 phase=D_mixed_covt +[Dataset] cur_step=8564 phase=D_mixed_covt +[Dataset] cur_step=8564 phase=D_mixed_covt +[Dataset] cur_step=8564 phase=D_mixed_covt +[Dataset] cur_step=8564 phase=D_mixed_covt[Dataset] cur_step=8564 phase=D_mixed_covt + +[Dataset] cur_step=8564 phase=D_mixed_covt + 95%|██████████████████████████████▍ | 8564/9000 [7:32:10<26:16, 3.62s/it][Dataset] cur_step=8564 phase=D_mixed_covt + {'loss': '3.106', 'grad_norm': '2.398', 'learning_rate': '3.201e-07', 'epoch': '0.3081'} + 95%|██████████████████████████████▍ | 8564/9000 [7:32:10<26:16, 3.62s/it] {'lm_loss': '0.3336', 'visual_loss': '2.692', 'seg_loss': '0.8173', 'dino_loss': '0.9196', 'depth_loss': '0.2455', 'vggt_mse_loss': '0.2437', 'vggt_cos_loss': '0.01849', 'pidinet_loss': '0.2085', 'siglip_loss': '0.5012', 'epoch': '0.3081'} + 95%|██████████████████████████████▍ | 8564/9000 [7:32:13<26:16, 3.62s/it][Dataset] cur_step=8565 phase=D_mixed_covt +[Dataset] cur_step=8565 phase=D_mixed_covt +[Dataset] cur_step=8565 phase=D_mixed_covt[Dataset] cur_step=8565 phase=D_mixed_covt +[Dataset] cur_step=8565 phase=D_mixed_covt[Dataset] cur_step=8565 phase=D_mixed_covt + + +[Dataset] cur_step=8565 phase=D_mixed_covt +[Dataset] cur_step=8565 phase=D_mixed_covt + 95%|██████████████████████████████▍ | 8565/9000 [7:32:14<27:02, 3.73s/it] {'loss': '2.958', 'grad_norm': '3.009', 'learning_rate': '3.187e-07', 'epoch': '0.3081'} + 95%|██████████████████████████████▍ | 8565/9000 [7:32:14<27:02, 3.73s/it] {'lm_loss': '0.6892', 'visual_loss': '2.639', 'seg_loss': '0.6993', 'dino_loss': '0.9214', 'depth_loss': '0.259', 'vggt_mse_loss': '0.2574', 'vggt_cos_loss': '0.01649', 'pidinet_loss': '0.3188', 'siglip_loss': '0.4409', 'epoch': '0.3081'} + 95%|██████████████████████████████▍ | 8565/9000 [7:32:16<27:02, 3.73s/it][Dataset] cur_step=8566 phase=D_mixed_covt +[Dataset] cur_step=8566 phase=D_mixed_covt[Dataset] cur_step=8566 phase=D_mixed_covt +[Dataset] cur_step=8566 phase=D_mixed_covt[Dataset] cur_step=8566 phase=D_mixed_covt + + +[Dataset] cur_step=8566 phase=D_mixed_covt +[Dataset] cur_step=8566 phase=D_mixed_covt[Dataset] cur_step=8566 phase=D_mixed_covt + + 95%|██████████████████████████████▍ | 8566/9000 [7:32:17<24:02, 3.32s/it] {'loss': '3.353', 'grad_norm': '5.599', 'learning_rate': '3.172e-07', 'epoch': '0.3082'} + 95%|██████████████████████████████▍ | 8566/9000 [7:32:17<24:02, 3.32s/it] {'lm_loss': '0.6678', 'visual_loss': '2.646', 'seg_loss': '0.5625', 'dino_loss': '0.9329', 'depth_loss': '0.2347', 'vggt_mse_loss': '0.2328', 'vggt_cos_loss': '0.0197', 'pidinet_loss': '0.1698', 'siglip_loss': '0.7463', 'epoch': '0.3082'} + 95%|██████████████████████████████▍ | 8566/9000 [7:32:18<24:02, 3.32s/it][Dataset] cur_step=8567 phase=D_mixed_covt +[Dataset] cur_step=8567 phase=D_mixed_covt +[Dataset] cur_step=8567 phase=D_mixed_covt 95%|██████████████████████████████▍ | 8567/9000 [7:32:19<21:23, 2.97s/it] +[Dataset] cur_step=8567 phase=D_mixed_covt +[Dataset] cur_step=8567 phase=D_mixed_covt[Dataset] cur_step=8567 phase=D_mixed_covt + +[Dataset] cur_step=8567 phase=D_mixed_covt +[Dataset] cur_step=8567 phase=D_mixed_covt + {'loss': '3.578', 'grad_norm': '2.87', 'learning_rate': '3.157e-07', 'epoch': '0.3082'} + 95%|██████████████████████████████▍ | 8567/9000 [7:32:19<21:23, 2.97s/it] {'lm_loss': '0.3987', 'visual_loss': '2.432', 'seg_loss': '0.5701', 'dino_loss': '0.9229', 'depth_loss': '0.2579', 'vggt_mse_loss': '0.2562', 'vggt_cos_loss': '0.01672', 'pidinet_loss': '0.1744', 'siglip_loss': '0.5069', 'epoch': '0.3082'} + 95%|██████████████████████████████▍ | 8567/9000 [7:32:21<21:23, 2.97s/it][Dataset] cur_step=8568 phase=D_mixed_covt +[Dataset] cur_step=8568 phase=D_mixed_covt +[Dataset] cur_step=8568 phase=D_mixed_covt +[Dataset] cur_step=8568 phase=D_mixed_covt[Dataset] cur_step=8568 phase=D_mixed_covt + +[Dataset] cur_step=8568 phase=D_mixed_covt[Dataset] cur_step=8568 phase=D_mixed_covt + + 95%|██████████████████████████████▍ | 8568/9000 [7:32:22<22:12, 3.08s/it][Dataset] cur_step=8568 phase=D_mixed_covt + {'loss': '3.341', 'grad_norm': '3.178', 'learning_rate': '3.143e-07', 'epoch': '0.3082'} + 95%|██████████████████████████████▍ | 8568/9000 [7:32:22<22:12, 3.08s/it] {'lm_loss': '1.164', 'visual_loss': '2.449', 'seg_loss': '0.7077', 'dino_loss': '0.8724', 'depth_loss': '0.2787', 'vggt_mse_loss': '0.2765', 'vggt_cos_loss': '0.02164', 'pidinet_loss': '0.2355', 'siglip_loss': '0.3542', 'epoch': '0.3082'} + 95%|██████████████████████████████▍ | 8568/9000 [7:32:25<22:12, 3.08s/it][Dataset] cur_step=8569 phase=D_mixed_covt +[Dataset] cur_step=8569 phase=D_mixed_covt +[Dataset] cur_step=8569 phase=D_mixed_covt[Dataset] cur_step=8569 phase=D_mixed_covt + +[Dataset] cur_step=8569 phase=D_mixed_covt + 95%|██████████████████████████████▍ | 8569/9000 [7:32:26<22:59, 3.20s/it][Dataset] cur_step=8569 phase=D_mixed_covt +[Dataset] cur_step=8569 phase=D_mixed_covt +[Dataset] cur_step=8569 phase=D_mixed_covt + {'loss': '3.246', 'grad_norm': '2.911', 'learning_rate': '3.128e-07', 'epoch': '0.3083'} + 95%|██████████████████████████████▍ | 8569/9000 [7:32:26<22:59, 3.20s/it] {'lm_loss': '0.06044', 'visual_loss': '2.674', 'seg_loss': '0.6727', 'dino_loss': '0.9316', 'depth_loss': '0.2561', 'vggt_mse_loss': '0.2541', 'vggt_cos_loss': '0.01961', 'pidinet_loss': '0.2706', 'siglip_loss': '0.5428', 'epoch': '0.3083'} + 95%|██████████████████████████████▍ | 8569/9000 [7:32:28<22:59, 3.20s/it][Dataset] cur_step=8570 phase=D_mixed_covt[Dataset] cur_step=8570 phase=D_mixed_covt[Dataset] cur_step=8570 phase=D_mixed_covt + + +[Dataset] cur_step=8570 phase=D_mixed_covt +[Dataset] cur_step=8570 phase=D_mixed_covt +[Dataset] cur_step=8570 phase=D_mixed_covt +[Dataset] cur_step=8570 phase=D_mixed_covt +[Dataset] cur_step=8570 phase=D_mixed_covt + 95%|██████████████████████████████▍ | 8570/9000 [7:32:29<23:08, 3.23s/it] {'loss': '3.271', 'grad_norm': '2.516', 'learning_rate': '3.114e-07', 'epoch': '0.3083'} + 95%|██████████████████████████████▍ | 8570/9000 [7:32:29<23:08, 3.23s/it] {'lm_loss': '0.3699', 'visual_loss': '2.811', 'seg_loss': '0.9468', 'dino_loss': '0.9422', 'depth_loss': '0.2908', 'vggt_mse_loss': '0.2889', 'vggt_cos_loss': '0.01895', 'pidinet_loss': '0.1466', 'siglip_loss': '0.4844', 'epoch': '0.3083'} + 95%|██████████████████████████████▍ | 8570/9000 [7:32:30<23:08, 3.23s/it][Dataset] cur_step=8571 phase=D_mixed_covt[Dataset] cur_step=8571 phase=D_mixed_covt[Dataset] cur_step=8571 phase=D_mixed_covt[Dataset] cur_step=8571 phase=D_mixed_covt + + + +[Dataset] cur_step=8571 phase=D_mixed_covt +[Dataset] cur_step=8571 phase=D_mixed_covt +[Dataset] cur_step=8571 phase=D_mixed_covt +[Dataset] cur_step=8571 phase=D_mixed_covt + 95%|██████████████████████████████▍ | 8571/9000 [7:32:31<20:05, 2.81s/it] {'loss': '3.367', 'grad_norm': '2.798', 'learning_rate': '3.1e-07', 'epoch': '0.3083'} + 95%|██████████████████████████████▍ | 8571/9000 [7:32:31<20:05, 2.81s/it] {'lm_loss': '0.4857', 'visual_loss': '2.705', 'seg_loss': '0.6759', 'dino_loss': '0.9203', 'depth_loss': '0.327', 'vggt_mse_loss': '0.3247', 'vggt_cos_loss': '0.02304', 'pidinet_loss': '0.2819', 'siglip_loss': '0.4999', 'epoch': '0.3083'} + 95%|██████████████████████████████▍ | 8571/9000 [7:32:32<20:05, 2.81s/it][Dataset] cur_step=8572 phase=D_mixed_covt[Dataset] cur_step=8572 phase=D_mixed_covt + +[Dataset] cur_step=8572 phase=D_mixed_covt[Dataset] cur_step=8572 phase=D_mixed_covt +[Dataset] cur_step=8572 phase=D_mixed_covt[Dataset] cur_step=8572 phase=D_mixed_covt + + + 95%|██████████████████████████████▍ | 8572/9000 [7:32:33<20:00, 2.81s/it][Dataset] cur_step=8572 phase=D_mixed_covt +[Dataset] cur_step=8572 phase=D_mixed_covt + {'loss': '3.293', 'grad_norm': '2.455', 'learning_rate': '3.085e-07', 'epoch': '0.3084'} + 95%|██████████████████████████████▍ | 8572/9000 [7:32:33<20:00, 2.81s/it] {'lm_loss': '0.5278', 'visual_loss': '2.003', 'seg_loss': '0.4732', 'dino_loss': '0.8705', 'depth_loss': '0.1458', 'vggt_mse_loss': '0.1453', 'vggt_cos_loss': '0.004999', 'pidinet_loss': '0.2521', 'siglip_loss': '0.2616', 'epoch': '0.3084'} + 95%|██████████████████████████████▍ | 8572/9000 [7:32:37<20:00, 2.81s/it][Dataset] cur_step=8573 phase=D_mixed_covt[Dataset] cur_step=8573 phase=D_mixed_covt + +[Dataset] cur_step=8573 phase=D_mixed_covt +[Dataset] cur_step=8573 phase=D_mixed_covt 95%|██████████████████████████████▍ | 8573/9000 [7:32:37<21:51, 3.07s/it] +[Dataset] cur_step=8573 phase=D_mixed_covt +[Dataset] cur_step=8573 phase=D_mixed_covt +[Dataset] cur_step=8573 phase=D_mixed_covt +[Dataset] cur_step=8573 phase=D_mixed_covt + {'loss': '3.323', 'grad_norm': '2.897', 'learning_rate': '3.071e-07', 'epoch': '0.3084'} + 95%|██████████████████████████████▍ | 8573/9000 [7:32:37<21:51, 3.07s/it] {'lm_loss': '0.9763', 'visual_loss': '2.772', 'seg_loss': '0.6611', 'dino_loss': '0.9127', 'depth_loss': '0.5235', 'vggt_mse_loss': '0.5185', 'vggt_cos_loss': '0.05026', 'pidinet_loss': '0.2008', 'siglip_loss': '0.4739', 'epoch': '0.3084'} + 95%|██████████████████████████████▍ | 8573/9000 [7:32:40<21:51, 3.07s/it][Dataset] cur_step=8574 phase=D_mixed_covt +[Dataset] cur_step=8574 phase=D_mixed_covt +[Dataset] cur_step=8574 phase=D_mixed_covt + 95%|██████████████████████████████▍ | 8574/9000 [7:32:41<22:50, 3.22s/it][Dataset] cur_step=8574 phase=D_mixed_covt +[Dataset] cur_step=8574 phase=D_mixed_covt[Dataset] cur_step=8574 phase=D_mixed_covt + +[Dataset] cur_step=8574 phase=D_mixed_covt +[Dataset] cur_step=8574 phase=D_mixed_covt + {'loss': '3.467', 'grad_norm': '2.937', 'learning_rate': '3.056e-07', 'epoch': '0.3085'} + 95%|██████████████████████████████▍ | 8574/9000 [7:32:41<22:50, 3.22s/it] {'lm_loss': '0.871', 'visual_loss': '2.875', 'seg_loss': '0.7421', 'dino_loss': '0.9235', 'depth_loss': '0.2532', 'vggt_mse_loss': '0.2522', 'vggt_cos_loss': '0.009986', 'pidinet_loss': '0.2405', 'siglip_loss': '0.716', 'epoch': '0.3085'} + 95%|██████████████████████████████▍ | 8574/9000 [7:32:43<22:50, 3.22s/it][Dataset] cur_step=8575 phase=D_mixed_covt[Dataset] cur_step=8575 phase=D_mixed_covt[Dataset] cur_step=8575 phase=D_mixed_covt + + +[Dataset] cur_step=8575 phase=D_mixed_covt +[Dataset] cur_step=8575 phase=D_mixed_covt +[Dataset] cur_step=8575 phase=D_mixed_covt[Dataset] cur_step=8575 phase=D_mixed_covt + + 95%|██████████████████████████████▍ | 8575/9000 [7:32:44<23:11, 3.27s/it][Dataset] cur_step=8575 phase=D_mixed_covt + {'loss': '3.343', 'grad_norm': '2.489', 'learning_rate': '3.042e-07', 'epoch': '0.3085'} + 95%|██████████████████████████████▍ | 8575/9000 [7:32:44<23:11, 3.27s/it] {'lm_loss': '0.1291', 'visual_loss': '2.718', 'seg_loss': '0.8432', 'dino_loss': '0.8955', 'depth_loss': '0.2366', 'vggt_mse_loss': '0.2349', 'vggt_cos_loss': '0.01665', 'pidinet_loss': '0.2711', 'siglip_loss': '0.4712', 'epoch': '0.3085'} + 95%|██████████████████████████████▍ | 8575/9000 [7:32:47<23:11, 3.27s/it][Dataset] cur_step=8576 phase=D_mixed_covt +[Dataset] cur_step=8576 phase=D_mixed_covt +[Dataset] cur_step=8576 phase=D_mixed_covt +[Dataset] cur_step=8576 phase=D_mixed_covt +[Dataset] cur_step=8576 phase=D_mixed_covt +[Dataset] cur_step=8576 phase=D_mixed_covt[Dataset] cur_step=8576 phase=D_mixed_covt + + 95%|██████████████████████████████▍ | 8576/9000 [7:32:50<29:03, 4.11s/it][Dataset] cur_step=8576 phase=D_mixed_covt + {'loss': '2.933', 'grad_norm': '3.093', 'learning_rate': '3.028e-07', 'epoch': '0.3085'} + 95%|██████████████████████████████▍ | 8576/9000 [7:32:50<29:03, 4.11s/it] {'lm_loss': '0.804', 'visual_loss': '2.626', 'seg_loss': '0.7021', 'dino_loss': '0.9177', 'depth_loss': '0.1199', 'vggt_mse_loss': '0.1191', 'vggt_cos_loss': '0.008484', 'pidinet_loss': '0.2837', 'siglip_loss': '0.6021', 'epoch': '0.3085'} + 95%|██████████████████████████████▍ | 8576/9000 [7:32:52<29:03, 4.11s/it][Dataset] cur_step=8577 phase=D_mixed_covt +[Dataset] cur_step=8577 phase=D_mixed_covt[Dataset] cur_step=8577 phase=D_mixed_covt + +[Dataset] cur_step=8577 phase=D_mixed_covt +[Dataset] cur_step=8577 phase=D_mixed_covt +[Dataset] cur_step=8577 phase=D_mixed_covt[Dataset] cur_step=8577 phase=D_mixed_covt + + 95%|██████████████████████████████▍ | 8577/9000 [7:32:53<25:52, 3.67s/it][Dataset] cur_step=8577 phase=D_mixed_covt + {'loss': '3.407', 'grad_norm': '3.602', 'learning_rate': '3.014e-07', 'epoch': '0.3086'} + 95%|██████████████████████████████▍ | 8577/9000 [7:32:53<25:52, 3.67s/it] {'lm_loss': '0.7409', 'visual_loss': '2.748', 'seg_loss': '0.7698', 'dino_loss': '0.9542', 'depth_loss': '0.2141', 'vggt_mse_loss': '0.2124', 'vggt_cos_loss': '0.01684', 'pidinet_loss': '0.2603', 'siglip_loss': '0.5495', 'epoch': '0.3086'} + 95%|██████████████████████████████▍ | 8577/9000 [7:32:55<25:52, 3.67s/it][Dataset] cur_step=8578 phase=D_mixed_covt[Dataset] cur_step=8578 phase=D_mixed_covt + +[Dataset] cur_step=8578 phase=D_mixed_covt +[Dataset] cur_step=8578 phase=D_mixed_covt +[Dataset] cur_step=8578 phase=D_mixed_covt + 95%|██████████████████████████████▍ | 8578/9000 [7:32:56<24:47, 3.53s/it][Dataset] cur_step=8578 phase=D_mixed_covt +[Dataset] cur_step=8578 phase=D_mixed_covt +[Dataset] cur_step=8578 phase=D_mixed_covt + {'loss': '3.128', 'grad_norm': '4.189', 'learning_rate': '2.999e-07', 'epoch': '0.3086'} + 95%|██████████████████████████████▍ | 8578/9000 [7:32:56<24:47, 3.53s/it] {'lm_loss': '0.1226', 'visual_loss': '1.719', 'seg_loss': '0', 'dino_loss': '0.864', 'depth_loss': '0.2447', 'vggt_mse_loss': '0.2428', 'vggt_cos_loss': '0.01926', 'pidinet_loss': '0.2021', 'siglip_loss': '0.4077', 'epoch': '0.3086'} + 95%|██████████████████████████████▍ | 8578/9000 [7:32:59<24:47, 3.53s/it][Dataset] cur_step=8579 phase=D_mixed_covt +[Dataset] cur_step=8579 phase=D_mixed_covt +[Dataset] cur_step=8579 phase=D_mixed_covt +[Dataset] cur_step=8579 phase=D_mixed_covt +[Dataset] cur_step=8579 phase=D_mixed_covt +[Dataset] cur_step=8579 phase=D_mixed_covt +[Dataset] cur_step=8579 phase=D_mixed_covt + 95%|██████████████████████████████▌ | 8579/9000 [7:33:00<24:53, 3.55s/it][Dataset] cur_step=8579 phase=D_mixed_covt + {'loss': '2.424', 'grad_norm': '3.889', 'learning_rate': '2.985e-07', 'epoch': '0.3086'} + 95%|██████████████████████████████▌ | 8579/9000 [7:33:00<24:53, 3.55s/it] {'lm_loss': '1.098', 'visual_loss': '3.255', 'seg_loss': '0.8594', 'dino_loss': '0.9128', 'depth_loss': '0.2559', 'vggt_mse_loss': '0.254', 'vggt_cos_loss': '0.0191', 'pidinet_loss': '0.3192', 'siglip_loss': '0.9072', 'epoch': '0.3086'} + 95%|██████████████████████████████▌ | 8579/9000 [7:33:01<24:53, 3.55s/it][Dataset] cur_step=8580 phase=D_mixed_covt[Dataset] cur_step=8580 phase=D_mixed_covt + +[Dataset] cur_step=8580 phase=D_mixed_covt +[Dataset] cur_step=8580 phase=D_mixed_covt +[Dataset] cur_step=8580 phase=D_mixed_covt +[Dataset] cur_step=8580 phase=D_mixed_covt +[Dataset] cur_step=8580 phase=D_mixed_covt[Dataset] cur_step=8580 phase=D_mixed_covt + + 95%|██████████████████████████████▌ | 8580/9000 [7:33:02<22:18, 3.19s/it] {'loss': '3.126', 'grad_norm': '2.996', 'learning_rate': '2.971e-07', 'epoch': '0.3087'} + 95%|██████████████████████████████▌ | 8580/9000 [7:33:02<22:18, 3.19s/it] {'lm_loss': '0.7067', 'visual_loss': '2.723', 'seg_loss': '0.8013', 'dino_loss': '0.956', 'depth_loss': '0.1808', 'vggt_mse_loss': '0.1794', 'vggt_cos_loss': '0.01348', 'pidinet_loss': '0.2724', 'siglip_loss': '0.5126', 'epoch': '0.3087'} + 95%|██████████████████████████████▌ | 8580/9000 [7:33:04<22:18, 3.19s/it][Dataset] cur_step=8581 phase=D_mixed_covt[Dataset] cur_step=8581 phase=D_mixed_covt + +[Dataset] cur_step=8581 phase=D_mixed_covt[Dataset] cur_step=8581 phase=D_mixed_covt[Dataset] cur_step=8581 phase=D_mixed_covt +[Dataset] cur_step=8581 phase=D_mixed_covt + + + 95%|██████████████████████████████▌ | 8581/9000 [7:33:05<21:39, 3.10s/it][Dataset] cur_step=8581 phase=D_mixed_covt +[Dataset] cur_step=8581 phase=D_mixed_covt + {'loss': '3.155', 'grad_norm': '2.929', 'learning_rate': '2.957e-07', 'epoch': '0.3087'} + 95%|██████████████████████████████▌ | 8581/9000 [7:33:05<21:39, 3.10s/it] {'lm_loss': '0.3331', 'visual_loss': '1.484', 'seg_loss': '0', 'dino_loss': '0.891', 'depth_loss': '0.3587', 'vggt_mse_loss': '0.3555', 'vggt_cos_loss': '0.03239', 'pidinet_loss': '0.2347', 'siglip_loss': '0', 'epoch': '0.3087'} + 95%|██████████████████████████████▌ | 8581/9000 [7:33:06<21:39, 3.10s/it][Dataset] cur_step=8582 phase=D_mixed_covt +[Dataset] cur_step=8582 phase=D_mixed_covt +[Dataset] cur_step=8582 phase=D_mixed_covt +[Dataset] cur_step=8582 phase=D_mixed_covt +[Dataset] cur_step=8582 phase=D_mixed_covt[Dataset] cur_step=8582 phase=D_mixed_covt + +[Dataset] cur_step=8582 phase=D_mixed_covt 95%|██████████████████████████████▌ | 8582/9000 [7:33:06<17:27, 2.51s/it] +[Dataset] cur_step=8582 phase=D_mixed_covt + {'loss': '1.987', 'grad_norm': '4.065', 'learning_rate': '2.943e-07', 'epoch': '0.3087'} + 95%|██████████████████████████████▌ | 8582/9000 [7:33:06<17:27, 2.51s/it] {'lm_loss': '0.7408', 'visual_loss': '2.746', 'seg_loss': '0.8104', 'dino_loss': '0.9441', 'depth_loss': '0.2026', 'vggt_mse_loss': '0.2012', 'vggt_cos_loss': '0.01458', 'pidinet_loss': '0.2701', 'siglip_loss': '0.5185', 'epoch': '0.3087'} + 95%|██████████████████████████████▌ | 8582/9000 [7:33:08<17:27, 2.51s/it][Dataset] cur_step=8583 phase=D_mixed_covt +[Dataset] cur_step=8583 phase=D_mixed_covt +[Dataset] cur_step=8583 phase=D_mixed_covt[Dataset] cur_step=8583 phase=D_mixed_covt +[Dataset] cur_step=8583 phase=D_mixed_covt + + 95%|██████████████████████████████▌ | 8583/9000 [7:33:09<17:57, 2.58s/it][Dataset] cur_step=8583 phase=D_mixed_covt +[Dataset] cur_step=8583 phase=D_mixed_covt +[Dataset] cur_step=8583 phase=D_mixed_covt + {'loss': '3.259', 'grad_norm': '2.79', 'learning_rate': '2.929e-07', 'epoch': '0.3088'} + 95%|██████████████████████████████▌ | 8583/9000 [7:33:09<17:57, 2.58s/it] {'lm_loss': '0.4883', 'visual_loss': '2.911', 'seg_loss': '0.7145', 'dino_loss': '0.9284', 'depth_loss': '0.3127', 'vggt_mse_loss': '0.3104', 'vggt_cos_loss': '0.02301', 'pidinet_loss': '0.3301', 'siglip_loss': '0.6259', 'epoch': '0.3088'} + 95%|██████████████████████████████▌ | 8583/9000 [7:33:11<17:57, 2.58s/it][Dataset] cur_step=8584 phase=D_mixed_covt +[Dataset] cur_step=8584 phase=D_mixed_covt +[Dataset] cur_step=8584 phase=D_mixed_covt +[Dataset] cur_step=8584 phase=D_mixed_covt +[Dataset] cur_step=8584 phase=D_mixed_covt +[Dataset] cur_step=8584 phase=D_mixed_covt +[Dataset] cur_step=8584 phase=D_mixed_covt +[Dataset] cur_step=8584 phase=D_mixed_covt + 95%|██████████████████████████████▌ | 8584/9000 [7:33:12<19:03, 2.75s/it] {'loss': '3.453', 'grad_norm': '3.054', 'learning_rate': '2.915e-07', 'epoch': '0.3088'} + 95%|██████████████████████████████▌ | 8584/9000 [7:33:12<19:03, 2.75s/it] {'lm_loss': '0.7718', 'visual_loss': '2.504', 'seg_loss': '0.7264', 'dino_loss': '0.9008', 'depth_loss': '0.1535', 'vggt_mse_loss': '0.1525', 'vggt_cos_loss': '0.009816', 'pidinet_loss': '0.2824', 'siglip_loss': '0.4404', 'epoch': '0.3088'} + 95%|██████████████████████████████▌ | 8584/9000 [7:33:14<19:03, 2.75s/it][Dataset] cur_step=8585 phase=D_mixed_covt +[Dataset] cur_step=8585 phase=D_mixed_covt +[Dataset] cur_step=8585 phase=D_mixed_covt +[Dataset] cur_step=8585 phase=D_mixed_covt +[Dataset] cur_step=8585 phase=D_mixed_covt +[Dataset] cur_step=8585 phase=D_mixed_covt +[Dataset] cur_step=8585 phase=D_mixed_covt +[Dataset] cur_step=8585 phase=D_mixed_covt + 95%|██████████████████████████████▌ | 8585/9000 [7:33:15<19:00, 2.75s/it] {'loss': '3.185', 'grad_norm': '1.758', 'learning_rate': '2.901e-07', 'epoch': '0.3088'} + 95%|██████████████████████████████▌ | 8585/9000 [7:33:15<19:00, 2.75s/it] {'lm_loss': '1.117', 'visual_loss': '2.692', 'seg_loss': '0.7699', 'dino_loss': '0.9187', 'depth_loss': '0.1899', 'vggt_mse_loss': '0.1886', 'vggt_cos_loss': '0.01256', 'pidinet_loss': '0.2545', 'siglip_loss': '0.5586', 'epoch': '0.3088'} + 95%|██████████████████████████████▌ | 8585/9000 [7:33:18<19:00, 2.75s/it][Dataset] cur_step=8586 phase=D_mixed_covt +[Dataset] cur_step=8586 phase=D_mixed_covt +[Dataset] cur_step=8586 phase=D_mixed_covt[Dataset] cur_step=8586 phase=D_mixed_covt + +[Dataset] cur_step=8586 phase=D_mixed_covt +[Dataset] cur_step=8586 phase=D_mixed_covt +[Dataset] cur_step=8586 phase=D_mixed_covt +[Dataset] cur_step=8586 phase=D_mixed_covt + 95%|██████████████████████████████▌ | 8586/9000 [7:33:19<21:53, 3.17s/it] {'loss': '3.386', 'grad_norm': '2.015', 'learning_rate': '2.887e-07', 'epoch': '0.3089'} + 95%|██████████████████████████████▌ | 8586/9000 [7:33:19<21:53, 3.17s/it] {'lm_loss': '0.7862', 'visual_loss': '2.398', 'seg_loss': '0.7088', 'dino_loss': '0.945', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2443', 'siglip_loss': '0.4996', 'epoch': '0.3089'} + 95%|██████████████████████████████▌ | 8586/9000 [7:33:23<21:53, 3.17s/it][Dataset] cur_step=8587 phase=D_mixed_covt +[Dataset] cur_step=8587 phase=D_mixed_covt +[Dataset] cur_step=8587 phase=D_mixed_covt +[Dataset] cur_step=8587 phase=D_mixed_covt[Dataset] cur_step=8587 phase=D_mixed_covt + +[Dataset] cur_step=8587 phase=D_mixed_covt + 95%|██████████████████████████████▌ | 8587/9000 [7:33:24<26:21, 3.83s/it][Dataset] cur_step=8587 phase=D_mixed_covt +[Dataset] cur_step=8587 phase=D_mixed_covt + {'loss': '3.175', 'grad_norm': '11.26', 'learning_rate': '2.873e-07', 'epoch': '0.3089'} + 95%|██████████████████████████████▌ | 8587/9000 [7:33:24<26:21, 3.83s/it] {'lm_loss': '0.6967', 'visual_loss': '2.158', 'seg_loss': '0.6858', 'dino_loss': '0.895', 'depth_loss': '0.2175', 'vggt_mse_loss': '0.2165', 'vggt_cos_loss': '0.01076', 'pidinet_loss': '0', 'siglip_loss': '0.3593', 'epoch': '0.3089'} + 95%|██████████████████████████████▌ | 8587/9000 [7:33:26<26:21, 3.83s/it][Dataset] cur_step=8588 phase=D_mixed_covt +[Dataset] cur_step=8588 phase=D_mixed_covt +[Dataset] cur_step=8588 phase=D_mixed_covt[Dataset] cur_step=8588 phase=D_mixed_covt + +[Dataset] cur_step=8588 phase=D_mixed_covt[Dataset] cur_step=8588 phase=D_mixed_covt + +[Dataset] cur_step=8588 phase=D_mixed_covt[Dataset] cur_step=8588 phase=D_mixed_covt + + 95%|██████████████████████████████▌ | 8588/9000 [7:33:27<23:40, 3.45s/it] {'loss': '3.115', 'grad_norm': '3.039', 'learning_rate': '2.859e-07', 'epoch': '0.309'} + 95%|██████████████████████████████▌ | 8588/9000 [7:33:27<23:40, 3.45s/it] {'lm_loss': '1.119', 'visual_loss': '2.406', 'seg_loss': '0.5618', 'dino_loss': '0.9665', 'depth_loss': '0.2103', 'vggt_mse_loss': '0.2089', 'vggt_cos_loss': '0.01394', 'pidinet_loss': '0', 'siglip_loss': '0.6672', 'epoch': '0.309'} + 95%|██████████████████████████████▌ | 8588/9000 [7:33:28<23:40, 3.45s/it][Dataset] cur_step=8589 phase=D_mixed_covt +[Dataset] cur_step=8589 phase=D_mixed_covt +[Dataset] cur_step=8589 phase=D_mixed_covt +[Dataset] cur_step=8589 phase=D_mixed_covt[Dataset] cur_step=8589 phase=D_mixed_covt[Dataset] cur_step=8589 phase=D_mixed_covt + + +[Dataset] cur_step=8589 phase=D_mixed_covt 95%|██████████████████████████████▌ | 8589/9000 [7:33:29<20:33, 3.00s/it] +[Dataset] cur_step=8589 phase=D_mixed_covt + {'loss': '3.385', 'grad_norm': '5.55', 'learning_rate': '2.845e-07', 'epoch': '0.309'} + 95%|██████████████████████████████▌ | 8589/9000 [7:33:29<20:33, 3.00s/it] {'lm_loss': '0.6331', 'visual_loss': '2.595', 'seg_loss': '0.6822', 'dino_loss': '0.9168', 'depth_loss': '0.2536', 'vggt_mse_loss': '0.2512', 'vggt_cos_loss': '0.02495', 'pidinet_loss': '0.1329', 'siglip_loss': '0.6095', 'epoch': '0.309'} + 95%|██████████████████████████████▌ | 8589/9000 [7:33:31<20:33, 3.00s/it][Dataset] cur_step=8590 phase=D_mixed_covt +[Dataset] cur_step=8590 phase=D_mixed_covt +[Dataset] cur_step=8590 phase=D_mixed_covt +[Dataset] cur_step=8590 phase=D_mixed_covt +[Dataset] cur_step=8590 phase=D_mixed_covt +[Dataset] cur_step=8590 phase=D_mixed_covt +[Dataset] cur_step=8590 phase=D_mixed_covt + 95%|██████████████████████████████▌ | 8590/9000 [7:33:31<19:39, 2.88s/it][Dataset] cur_step=8590 phase=D_mixed_covt + {'loss': '3.161', 'grad_norm': '2.144', 'learning_rate': '2.832e-07', 'epoch': '0.309'} + 95%|██████████████████████████████▌ | 8590/9000 [7:33:31<19:39, 2.88s/it] {'lm_loss': '0.6515', 'visual_loss': '2.772', 'seg_loss': '0.274', 'dino_loss': '0.897', 'depth_loss': '0.281', 'vggt_mse_loss': '0.279', 'vggt_cos_loss': '0.01977', 'pidinet_loss': '0.2961', 'siglip_loss': '1.024', 'epoch': '0.309'} + 95%|██████████████████████████████▌ | 8590/9000 [7:33:34<19:39, 2.88s/it][Dataset] cur_step=8591 phase=D_mixed_covt +[Dataset] cur_step=8591 phase=D_mixed_covt +[Dataset] cur_step=8591 phase=D_mixed_covt +[Dataset] cur_step=8591 phase=D_mixed_covt + 95%|██████████████████████████████▌ | 8591/9000 [7:33:34<20:14, 2.97s/it][Dataset] cur_step=8591 phase=D_mixed_covt +[Dataset] cur_step=8591 phase=D_mixed_covt +[Dataset] cur_step=8591 phase=D_mixed_covt +[Dataset] cur_step=8591 phase=D_mixed_covt + {'loss': '3.213', 'grad_norm': '3.468', 'learning_rate': '2.818e-07', 'epoch': '0.3091'} + 95%|██████████████████████████████▌ | 8591/9000 [7:33:34<20:14, 2.97s/it] {'lm_loss': '0.3264', 'visual_loss': '2.741', 'seg_loss': '0.7176', 'dino_loss': '0.9103', 'depth_loss': '0.194', 'vggt_mse_loss': '0.1925', 'vggt_cos_loss': '0.01467', 'pidinet_loss': '0.2316', 'siglip_loss': '0.6875', 'epoch': '0.3091'} + 95%|██████████████████████████████▌ | 8591/9000 [7:33:36<20:14, 2.97s/it][Dataset] cur_step=8592 phase=D_mixed_covt +[Dataset] cur_step=8592 phase=D_mixed_covt +[Dataset] cur_step=8592 phase=D_mixed_covt[Dataset] cur_step=8592 phase=D_mixed_covt + +[Dataset] cur_step=8592 phase=D_mixed_covt +[Dataset] cur_step=8592 phase=D_mixed_covt +[Dataset] cur_step=8592 phase=D_mixed_covt +[Dataset] cur_step=8592 phase=D_mixed_covt + 95%|██████████████████████████████▌ | 8592/9000 [7:33:36<17:54, 2.63s/it] {'loss': '3.181', 'grad_norm': '10.63', 'learning_rate': '2.804e-07', 'epoch': '0.3091'} + 95%|██████████████████████████████▌ | 8592/9000 [7:33:36<17:54, 2.63s/it] {'lm_loss': '0.5465', 'visual_loss': '2.617', 'seg_loss': '0.7959', 'dino_loss': '0.9203', 'depth_loss': '0.2076', 'vggt_mse_loss': '0.2059', 'vggt_cos_loss': '0.01672', 'pidinet_loss': '0.207', 'siglip_loss': '0.4859', 'epoch': '0.3091'} + 95%|██████████████████████████████▌ | 8592/9000 [7:33:38<17:54, 2.63s/it][Dataset] cur_step=8593 phase=D_mixed_covt +[Dataset] cur_step=8593 phase=D_mixed_covt[Dataset] cur_step=8593 phase=D_mixed_covt + +[Dataset] cur_step=8593 phase=D_mixed_covt +[Dataset] cur_step=8593 phase=D_mixed_covt[Dataset] cur_step=8593 phase=D_mixed_covt + +[Dataset] cur_step=8593 phase=D_mixed_covt +[Dataset] cur_step=8593 phase=D_mixed_covt + 95%|██████████████████████████████▌ | 8593/9000 [7:33:41<22:11, 3.27s/it] {'loss': '3.196', 'grad_norm': '2.355', 'learning_rate': '2.79e-07', 'epoch': '0.3091'} + 95%|██████████████████████████████▌ | 8593/9000 [7:33:41<22:11, 3.27s/it] {'lm_loss': '0.6404', 'visual_loss': '2.901', 'seg_loss': '0.8666', 'dino_loss': '0.9102', 'depth_loss': '0.1722', 'vggt_mse_loss': '0.171', 'vggt_cos_loss': '0.01147', 'pidinet_loss': '0.3215', 'siglip_loss': '0.6302', 'epoch': '0.3091'} + 95%|██████████████████████████████▌ | 8593/9000 [7:33:44<22:11, 3.27s/it][Dataset] cur_step=8594 phase=D_mixed_covt +[Dataset] cur_step=8594 phase=D_mixed_covt + 95%|██████████████████████████████▌ | 8594/9000 [7:33:44<22:04, 3.26s/it][Dataset] cur_step=8594 phase=D_mixed_covt[Dataset] cur_step=8594 phase=D_mixed_covt + +[Dataset] cur_step=8594 phase=D_mixed_covt +[Dataset] cur_step=8594 phase=D_mixed_covt +[Dataset] cur_step=8594 phase=D_mixed_covt +[Dataset] cur_step=8594 phase=D_mixed_covt + {'loss': '3.158', 'grad_norm': '2.379', 'learning_rate': '2.777e-07', 'epoch': '0.3092'} + 95%|██████████████████████████████▌ | 8594/9000 [7:33:44<22:04, 3.26s/it] {'lm_loss': '0.4894', 'visual_loss': '2.474', 'seg_loss': '0.6013', 'dino_loss': '0.8939', 'depth_loss': '0.2792', 'vggt_mse_loss': '0.2769', 'vggt_cos_loss': '0.02286', 'pidinet_loss': '0.1554', 'siglip_loss': '0.5442', 'epoch': '0.3092'} + 95%|██████████████████████████████▌ | 8594/9000 [7:33:47<22:04, 3.26s/it][Dataset] cur_step=8595 phase=D_mixed_covt +[Dataset] cur_step=8595 phase=D_mixed_covt +[Dataset] cur_step=8595 phase=D_mixed_covt +[Dataset] cur_step=8595 phase=D_mixed_covt 96%|██████████████████████████████▌ | 8595/9000 [7:33:47<20:58, 3.11s/it] +[Dataset] cur_step=8595 phase=D_mixed_covt +[Dataset] cur_step=8595 phase=D_mixed_covt +[Dataset] cur_step=8595 phase=D_mixed_covt +[Dataset] cur_step=8595 phase=D_mixed_covt + {'loss': '3.008', 'grad_norm': '2.169', 'learning_rate': '2.763e-07', 'epoch': '0.3092'} + 96%|██████████████████████████████▌ | 8595/9000 [7:33:47<20:58, 3.11s/it] {'lm_loss': '0.06584', 'visual_loss': '1.886', 'seg_loss': '0.3313', 'dino_loss': '0.9243', 'depth_loss': '0.166', 'vggt_mse_loss': '0.1647', 'vggt_cos_loss': '0.01311', 'pidinet_loss': '0.2175', 'siglip_loss': '0.2469', 'epoch': '0.3092'} + 96%|██████████████████████████████▌ | 8595/9000 [7:33:49<20:58, 3.11s/it][Dataset] cur_step=8596 phase=D_mixed_covt +[Dataset] cur_step=8596 phase=D_mixed_covt +[Dataset] cur_step=8596 phase=D_mixed_covt +[Dataset] cur_step=8596 phase=D_mixed_covt +[Dataset] cur_step=8596 phase=D_mixed_covt +[Dataset] cur_step=8596 phase=D_mixed_covt[Dataset] cur_step=8596 phase=D_mixed_covt + +[Dataset] cur_step=8596 phase=D_mixed_covt 96%|██████████████████████████████▌ | 8596/9000 [7:33:50<20:01, 2.97s/it] + {'loss': '3.023', 'grad_norm': '3.763', 'learning_rate': '2.749e-07', 'epoch': '0.3092'} + 96%|██████████████████████████████▌ | 8596/9000 [7:33:50<20:01, 2.97s/it] {'lm_loss': '0.6962', 'visual_loss': '2.632', 'seg_loss': '0.5994', 'dino_loss': '0.9223', 'depth_loss': '0.2262', 'vggt_mse_loss': '0.2245', 'vggt_cos_loss': '0.01689', 'pidinet_loss': '0.2555', 'siglip_loss': '0.6283', 'epoch': '0.3092'} + 96%|██████████████████████████████▌ | 8596/9000 [7:33:53<20:01, 2.97s/it][Dataset] cur_step=8597 phase=D_mixed_covt +[Dataset] cur_step=8597 phase=D_mixed_covt +[Dataset] cur_step=8597 phase=D_mixed_covt +[Dataset] cur_step=8597 phase=D_mixed_covt +[Dataset] cur_step=8597 phase=D_mixed_covt +[Dataset] cur_step=8597 phase=D_mixed_covt + 96%|██████████████████████████████▌ | 8597/9000 [7:33:53<20:48, 3.10s/it][Dataset] cur_step=8597 phase=D_mixed_covt +[Dataset] cur_step=8597 phase=D_mixed_covt + {'loss': '3.035', 'grad_norm': '2.317', 'learning_rate': '2.736e-07', 'epoch': '0.3093'} + 96%|██████████████████████████████▌ | 8597/9000 [7:33:53<20:48, 3.10s/it] {'lm_loss': '1.01', 'visual_loss': '1.694', 'seg_loss': '0.4916', 'dino_loss': '0.8248', 'depth_loss': '0.1959', 'vggt_mse_loss': '0.1954', 'vggt_cos_loss': '0.005546', 'pidinet_loss': '0.07056', 'siglip_loss': '0.1111', 'epoch': '0.3093'} + 96%|██████████████████████████████▌ | 8597/9000 [7:33:55<20:48, 3.10s/it][Dataset] cur_step=8598 phase=D_mixed_covt +[Dataset] cur_step=8598 phase=D_mixed_covt +[Dataset] cur_step=8598 phase=D_mixed_covt +[Dataset] cur_step=8598 phase=D_mixed_covt[Dataset] cur_step=8598 phase=D_mixed_covt + +[Dataset] cur_step=8598 phase=D_mixed_covt[Dataset] cur_step=8598 phase=D_mixed_covt + + 96%|██████████████████████████████▌ | 8598/9000 [7:33:55<18:34, 2.77s/it][Dataset] cur_step=8598 phase=D_mixed_covt + {'loss': '3.311', 'grad_norm': '3.276', 'learning_rate': '2.722e-07', 'epoch': '0.3093'} + 96%|██████████████████████████████▌ | 8598/9000 [7:33:55<18:34, 2.77s/it] {'lm_loss': '0.3552', 'visual_loss': '2.673', 'seg_loss': '0.5323', 'dino_loss': '0.893', 'depth_loss': '0.1013', 'vggt_mse_loss': '0.1007', 'vggt_cos_loss': '0.00619', 'pidinet_loss': '0.3604', 'siglip_loss': '0.7856', 'epoch': '0.3093'} + 96%|██████████████████████████████▌ | 8598/9000 [7:34:01<18:34, 2.77s/it][Dataset] cur_step=8599 phase=D_mixed_covt[Dataset] cur_step=8599 phase=D_mixed_covt + +[Dataset] cur_step=8599 phase=D_mixed_covt +[Dataset] cur_step=8599 phase=D_mixed_covt +[Dataset] cur_step=8599 phase=D_mixed_covt 96%|██████████████████████████████▌ | 8599/9000 [7:34:02<26:00, 3.89s/it] +[Dataset] cur_step=8599 phase=D_mixed_covt +[Dataset] cur_step=8599 phase=D_mixed_covt +[Dataset] cur_step=8599 phase=D_mixed_covt + {'loss': '3.17', 'grad_norm': '2.437', 'learning_rate': '2.709e-07', 'epoch': '0.3093'} + 96%|██████████████████████████████▌ | 8599/9000 [7:34:02<26:00, 3.89s/it] {'lm_loss': '0.7104', 'visual_loss': '2.917', 'seg_loss': '0.8366', 'dino_loss': '0.8811', 'depth_loss': '0.2135', 'vggt_mse_loss': '0.2121', 'vggt_cos_loss': '0.01399', 'pidinet_loss': '0.3114', 'siglip_loss': '0.6747', 'epoch': '0.3093'} + 96%|██████████████████████████████▌ | 8599/9000 [7:34:03<26:00, 3.89s/it][Dataset] cur_step=8600 phase=D_mixed_covt + 96%|██████████████████████████████▌ | 8600/9000 [7:34:04<22:41, 3.40s/it][Dataset] cur_step=8600 phase=D_mixed_covt[Dataset] cur_step=8600 phase=D_mixed_covt + +[Dataset] cur_step=8600 phase=D_mixed_covt +[Dataset] cur_step=8600 phase=D_mixed_covt +[Dataset] cur_step=8600 phase=D_mixed_covt +[Dataset] cur_step=8600 phase=D_mixed_covt +[Dataset] cur_step=8600 phase=D_mixed_covt + {'loss': '3.448', 'grad_norm': '7.654', 'learning_rate': '2.695e-07', 'epoch': '0.3094'} + 96%|██████████████████████████████▌ | 8600/9000 [7:34:04<22:41, 3.40s/it] {'lm_loss': '0.1076', 'visual_loss': '2.491', 'seg_loss': '0.6914', 'dino_loss': '0.9158', 'depth_loss': '0.2204', 'vggt_mse_loss': '0.2191', 'vggt_cos_loss': '0.01281', 'pidinet_loss': '0.235', 'siglip_loss': '0.4287', 'epoch': '0.3094'} + 96%|██████████████████████████████▌ | 8600/9000 [7:34:06<22:41, 3.40s/it][Dataset] cur_step=8601 phase=D_mixed_covt +[Dataset] cur_step=8601 phase=D_mixed_covt +[Dataset] cur_step=8601 phase=D_mixed_covt +[Dataset] cur_step=8601 phase=D_mixed_covt +[Dataset] cur_step=8601 phase=D_mixed_covt +[Dataset] cur_step=8601 phase=D_mixed_covt +[Dataset] cur_step=8601 phase=D_mixed_covt + 96%|██████████████████████████████▌ | 8601/9000 [7:34:07<21:41, 3.26s/it][Dataset] cur_step=8601 phase=D_mixed_covt + {'loss': '3.387', 'grad_norm': '3.852', 'learning_rate': '2.682e-07', 'epoch': '0.3094'} + 96%|██████████████████████████████▌ | 8601/9000 [7:34:07<21:41, 3.26s/it] {'lm_loss': '0.6654', 'visual_loss': '3.114', 'seg_loss': '0.7671', 'dino_loss': '0.8769', 'depth_loss': '0.5114', 'vggt_mse_loss': '0.5073', 'vggt_cos_loss': '0.04067', 'pidinet_loss': '0.3063', 'siglip_loss': '0.6526', 'epoch': '0.3094'} + 96%|██████████████████████████████▌ | 8601/9000 [7:34:08<21:41, 3.26s/it][Dataset] cur_step=8602 phase=D_mixed_covt +[Dataset] cur_step=8602 phase=D_mixed_covt[Dataset] cur_step=8602 phase=D_mixed_covt + +[Dataset] cur_step=8602 phase=D_mixed_covt +[Dataset] cur_step=8602 phase=D_mixed_covt +[Dataset] cur_step=8602 phase=D_mixed_covt +[Dataset] cur_step=8602 phase=D_mixed_covt[Dataset] cur_step=8602 phase=D_mixed_covt + + 96%|██████████████████████████████▌ | 8602/9000 [7:34:09<19:11, 2.89s/it] {'loss': '3.657', 'grad_norm': '4.046', 'learning_rate': '2.669e-07', 'epoch': '0.3095'} + 96%|██████████████████████████████▌ | 8602/9000 [7:34:09<19:11, 2.89s/it] {'lm_loss': '0.6658', 'visual_loss': '2.796', 'seg_loss': '0.829', 'dino_loss': '0.9417', 'depth_loss': '0.2297', 'vggt_mse_loss': '0.2282', 'vggt_cos_loss': '0.01495', 'pidinet_loss': '0.1994', 'siglip_loss': '0.5958', 'epoch': '0.3095'} + 96%|██████████████████████████████▌ | 8602/9000 [7:34:11<19:11, 2.89s/it][Dataset] cur_step=8603 phase=D_mixed_covt +[Dataset] cur_step=8603 phase=D_mixed_covt[Dataset] cur_step=8603 phase=D_mixed_covt + +[Dataset] cur_step=8603 phase=D_mixed_covt +[Dataset] cur_step=8603 phase=D_mixed_covt +[Dataset] cur_step=8603 phase=D_mixed_covt +[Dataset] cur_step=8603 phase=D_mixed_covt +[Dataset] cur_step=8603 phase=D_mixed_covt + 96%|██████████████████████████████▌ | 8603/9000 [7:34:11<18:23, 2.78s/it] {'loss': '3.622', 'grad_norm': '2.537', 'learning_rate': '2.655e-07', 'epoch': '0.3095'} + 96%|██████████████████████████████▌ | 8603/9000 [7:34:11<18:23, 2.78s/it] {'lm_loss': '0.6504', 'visual_loss': '2.136', 'seg_loss': '0.5862', 'dino_loss': '0.8782', 'depth_loss': '0.1965', 'vggt_mse_loss': '0.1954', 'vggt_cos_loss': '0.0111', 'pidinet_loss': '0.1731', 'siglip_loss': '0.3019', 'epoch': '0.3095'} + 96%|██████████████████████████████▌ | 8603/9000 [7:34:13<18:23, 2.78s/it][Dataset] cur_step=8604 phase=D_mixed_covt +[Dataset] cur_step=8604 phase=D_mixed_covt[Dataset] cur_step=8604 phase=D_mixed_covt +[Dataset] cur_step=8604 phase=D_mixed_covt + +[Dataset] cur_step=8604 phase=D_mixed_covt[Dataset] cur_step=8604 phase=D_mixed_covt + 96%|██████████████████████████████▌ | 8604/9000 [7:34:14<17:42, 2.68s/it] +[Dataset] cur_step=8604 phase=D_mixed_covt +[Dataset] cur_step=8604 phase=D_mixed_covt + {'loss': '3.208', 'grad_norm': '3.141', 'learning_rate': '2.642e-07', 'epoch': '0.3095'} + 96%|██████████████████████████████▌ | 8604/9000 [7:34:14<17:42, 2.68s/it] {'lm_loss': '0.4672', 'visual_loss': '2.43', 'seg_loss': '0.6628', 'dino_loss': '0.9352', 'depth_loss': '0.1924', 'vggt_mse_loss': '0.191', 'vggt_cos_loss': '0.01383', 'pidinet_loss': '0.2', 'siglip_loss': '0.4399', 'epoch': '0.3095'} + 96%|██████████████████████████████▌ | 8604/9000 [7:34:17<17:42, 2.68s/it][Dataset] cur_step=8605 phase=D_mixed_covt + 96%|██████████████████████████████▌ | 8605/9000 [7:34:18<20:21, 3.09s/it][Dataset] cur_step=8605 phase=D_mixed_covt +[Dataset] cur_step=8605 phase=D_mixed_covt[Dataset] cur_step=8605 phase=D_mixed_covt + +[Dataset] cur_step=8605 phase=D_mixed_covt +[Dataset] cur_step=8605 phase=D_mixed_covt +[Dataset] cur_step=8605 phase=D_mixed_covt +[Dataset] cur_step=8605 phase=D_mixed_covt + {'loss': '2.91', 'grad_norm': '1.902', 'learning_rate': '2.629e-07', 'epoch': '0.3096'} + 96%|██████████████████████████████▌ | 8605/9000 [7:34:18<20:21, 3.09s/it] {'lm_loss': '0.04655', 'visual_loss': '2.597', 'seg_loss': '0.5939', 'dino_loss': '0.8717', 'depth_loss': '0.1923', 'vggt_mse_loss': '0.1908', 'vggt_cos_loss': '0.0154', 'pidinet_loss': '0.2725', 'siglip_loss': '0.6662', 'epoch': '0.3096'} + 96%|██████████████████████████████▌ | 8605/9000 [7:34:20<20:21, 3.09s/it][Dataset] cur_step=8606 phase=D_mixed_covt +[Dataset] cur_step=8606 phase=D_mixed_covt +[Dataset] cur_step=8606 phase=D_mixed_covt +[Dataset] cur_step=8606 phase=D_mixed_covt +[Dataset] cur_step=8606 phase=D_mixed_covt +[Dataset] cur_step=8606 phase=D_mixed_covt +[Dataset] cur_step=8606 phase=D_mixed_covt +[Dataset] cur_step=8606 phase=D_mixed_covt + 96%|██████████████████████████████▌ | 8606/9000 [7:34:21<20:52, 3.18s/it] {'loss': '3.371', 'grad_norm': '2.747', 'learning_rate': '2.615e-07', 'epoch': '0.3096'} + 96%|██████████████████████████████▌ | 8606/9000 [7:34:21<20:52, 3.18s/it] {'lm_loss': '0.581', 'visual_loss': '1.929', 'seg_loss': '0.6948', 'dino_loss': '0.8442', 'depth_loss': '0.1473', 'vggt_mse_loss': '0.1467', 'vggt_cos_loss': '0.005471', 'pidinet_loss': '0.1554', 'siglip_loss': '0.08751', 'epoch': '0.3096'} + 96%|██████████████████████████████▌ | 8606/9000 [7:34:23<20:52, 3.18s/it][Dataset] cur_step=8607 phase=D_mixed_covt +[Dataset] cur_step=8607 phase=D_mixed_covt +[Dataset] cur_step=8607 phase=D_mixed_covt[Dataset] cur_step=8607 phase=D_mixed_covt + + 96%|██████████████████████████████▌ | 8607/9000 [7:34:24<20:00, 3.05s/it][Dataset] cur_step=8607 phase=D_mixed_covt +[Dataset] cur_step=8607 phase=D_mixed_covt +[Dataset] cur_step=8607 phase=D_mixed_covt +[Dataset] cur_step=8607 phase=D_mixed_covt + {'loss': '3.075', 'grad_norm': '3.631', 'learning_rate': '2.602e-07', 'epoch': '0.3096'} + 96%|██████████████████████████████▌ | 8607/9000 [7:34:24<20:00, 3.05s/it] {'lm_loss': '0.8961', 'visual_loss': '2.814', 'seg_loss': '0.7441', 'dino_loss': '0.9149', 'depth_loss': '0.328', 'vggt_mse_loss': '0.3261', 'vggt_cos_loss': '0.01896', 'pidinet_loss': '0.2682', 'siglip_loss': '0.5583', 'epoch': '0.3096'} + 96%|██████████████████████████████▌ | 8607/9000 [7:34:26<20:00, 3.05s/it][Dataset] cur_step=8608 phase=D_mixed_covt[Dataset] cur_step=8608 phase=D_mixed_covt + +[Dataset] cur_step=8608 phase=D_mixed_covt +[Dataset] cur_step=8608 phase=D_mixed_covt +[Dataset] cur_step=8608 phase=D_mixed_covt +[Dataset] cur_step=8608 phase=D_mixed_covt + 96%|██████████████████████████████▌ | 8608/9000 [7:34:26<18:42, 2.86s/it][Dataset] cur_step=8608 phase=D_mixed_covt +[Dataset] cur_step=8608 phase=D_mixed_covt + {'loss': '3.31', 'grad_norm': '2.721', 'learning_rate': '2.589e-07', 'epoch': '0.3097'} + 96%|██████████████████████████████▌ | 8608/9000 [7:34:26<18:42, 2.86s/it] {'lm_loss': '0.8216', 'visual_loss': '1.897', 'seg_loss': '0.6822', 'dino_loss': '0', 'depth_loss': '0.4044', 'vggt_mse_loss': '0.4011', 'vggt_cos_loss': '0.03384', 'pidinet_loss': '0.2951', 'siglip_loss': '0.5155', 'epoch': '0.3097'} + 96%|██████████████████████████████▌ | 8608/9000 [7:34:28<18:42, 2.86s/it][Dataset] cur_step=8609 phase=D_mixed_covt +[Dataset] cur_step=8609 phase=D_mixed_covt[Dataset] cur_step=8609 phase=D_mixed_covt + +[Dataset] cur_step=8609 phase=D_mixed_covt + 96%|██████████████████████████████▌ | 8609/9000 [7:34:29<18:02, 2.77s/it][Dataset] cur_step=8609 phase=D_mixed_covt +[Dataset] cur_step=8609 phase=D_mixed_covt +[Dataset] cur_step=8609 phase=D_mixed_covt +[Dataset] cur_step=8609 phase=D_mixed_covt + {'loss': '2.502', 'grad_norm': '11.9', 'learning_rate': '2.576e-07', 'epoch': '0.3097'} + 96%|██████████████████████████████▌ | 8609/9000 [7:34:29<18:02, 2.77s/it] {'lm_loss': '0.6298', 'visual_loss': '2.436', 'seg_loss': '0.8062', 'dino_loss': '0.8942', 'depth_loss': '0.2061', 'vggt_mse_loss': '0.2049', 'vggt_cos_loss': '0.0118', 'pidinet_loss': '0.1454', 'siglip_loss': '0.3845', 'epoch': '0.3097'} + 96%|██████████████████████████████▌ | 8609/9000 [7:34:31<18:02, 2.77s/it][Dataset] cur_step=8610 phase=D_mixed_covt +[Dataset] cur_step=8610 phase=D_mixed_covt +[Dataset] cur_step=8610 phase=D_mixed_covt[Dataset] cur_step=8610 phase=D_mixed_covt[Dataset] cur_step=8610 phase=D_mixed_covt + + +[Dataset] cur_step=8610 phase=D_mixed_covt 96%|██████████████████████████████▌ | 8610/9000 [7:34:32<17:49, 2.74s/it] +[Dataset] cur_step=8610 phase=D_mixed_covt +[Dataset] cur_step=8610 phase=D_mixed_covt + {'loss': '3.29', 'grad_norm': '2.105', 'learning_rate': '2.562e-07', 'epoch': '0.3097'} + 96%|██████████████████████████████▌ | 8610/9000 [7:34:32<17:49, 2.74s/it] {'lm_loss': '0.06688', 'visual_loss': '2.645', 'seg_loss': '0.6864', 'dino_loss': '0.8683', 'depth_loss': '0.1466', 'vggt_mse_loss': '0.1456', 'vggt_cos_loss': '0.009923', 'pidinet_loss': '0.2719', 'siglip_loss': '0.6717', 'epoch': '0.3097'} + 96%|██████████████████████████████▌ | 8610/9000 [7:34:33<17:49, 2.74s/it][Dataset] cur_step=8611 phase=D_mixed_covt +[Dataset] cur_step=8611 phase=D_mixed_covt +[Dataset] cur_step=8611 phase=D_mixed_covt +[Dataset] cur_step=8611 phase=D_mixed_covt +[Dataset] cur_step=8611 phase=D_mixed_covt +[Dataset] cur_step=8611 phase=D_mixed_covt + 96%|██████████████████████████████▌ | 8611/9000 [7:34:34<17:04, 2.63s/it][Dataset] cur_step=8611 phase=D_mixed_covt +[Dataset] cur_step=8611 phase=D_mixed_covt + {'loss': '3.132', 'grad_norm': '4.314', 'learning_rate': '2.549e-07', 'epoch': '0.3098'} + 96%|██████████████████████████████▌ | 8611/9000 [7:34:34<17:04, 2.63s/it] {'lm_loss': '1.078', 'visual_loss': '2.642', 'seg_loss': '0.757', 'dino_loss': '0.8651', 'depth_loss': '0.1863', 'vggt_mse_loss': '0.185', 'vggt_cos_loss': '0.0123', 'pidinet_loss': '0', 'siglip_loss': '0.8338', 'epoch': '0.3098'} + 96%|██████████████████████████████▌ | 8611/9000 [7:34:36<17:04, 2.63s/it][Dataset] cur_step=8612 phase=D_mixed_covt +[Dataset] cur_step=8612 phase=D_mixed_covt 96%|██████████████████████████████▌ | 8612/9000 [7:34:37<16:47, 2.60s/it][Dataset] cur_step=8612 phase=D_mixed_covt[Dataset] cur_step=8612 phase=D_mixed_covt +[Dataset] cur_step=8612 phase=D_mixed_covt + + +[Dataset] cur_step=8612 phase=D_mixed_covt +[Dataset] cur_step=8612 phase=D_mixed_covt +[Dataset] cur_step=8612 phase=D_mixed_covt + {'loss': '3.057', 'grad_norm': '5.41', 'learning_rate': '2.536e-07', 'epoch': '0.3098'} + 96%|██████████████████████████████▌ | 8612/9000 [7:34:37<16:47, 2.60s/it] {'lm_loss': '0.1129', 'visual_loss': '2.733', 'seg_loss': '0.8515', 'dino_loss': '0.9136', 'depth_loss': '0.2678', 'vggt_mse_loss': '0.2657', 'vggt_cos_loss': '0.02076', 'pidinet_loss': '0.2395', 'siglip_loss': '0.4602', 'epoch': '0.3098'} + 96%|██████████████████████████████▌ | 8612/9000 [7:34:39<16:47, 2.60s/it][Dataset] cur_step=8613 phase=D_mixed_covt[Dataset] cur_step=8613 phase=D_mixed_covt + +[Dataset] cur_step=8613 phase=D_mixed_covt +[Dataset] cur_step=8613 phase=D_mixed_covt +[Dataset] cur_step=8613 phase=D_mixed_covt[Dataset] cur_step=8613 phase=D_mixed_covt + +[Dataset] cur_step=8613 phase=D_mixed_covt + 96%|██████████████████████████████▌ | 8613/9000 [7:34:42<22:57, 3.56s/it][Dataset] cur_step=8613 phase=D_mixed_covt + {'loss': '2.951', 'grad_norm': '2.316', 'learning_rate': '2.523e-07', 'epoch': '0.3099'} + 96%|██████████████████████████████▌ | 8613/9000 [7:34:42<22:57, 3.56s/it] {'lm_loss': '1.497', 'visual_loss': '0.8917', 'seg_loss': '0', 'dino_loss': '0', 'depth_loss': '0.1308', 'vggt_mse_loss': '0.13', 'vggt_cos_loss': '0.007547', 'pidinet_loss': '0.1769', 'siglip_loss': '0.584', 'epoch': '0.3099'} + 96%|██████████████████████████████▌ | 8613/9000 [7:34:43<22:57, 3.56s/it][Dataset] cur_step=8614 phase=D_mixed_covt +[Dataset] cur_step=8614 phase=D_mixed_covt +[Dataset] cur_step=8614 phase=D_mixed_covt +[Dataset] cur_step=8614 phase=D_mixed_covt +[Dataset] cur_step=8614 phase=D_mixed_covt +[Dataset] cur_step=8614 phase=D_mixed_covt[Dataset] cur_step=8614 phase=D_mixed_covt + + 96%|██████████████████████████████▋ | 8614/9000 [7:34:44<18:44, 2.91s/it][Dataset] cur_step=8614 phase=D_mixed_covt + {'loss': '1.947', 'grad_norm': '3.216', 'learning_rate': '2.51e-07', 'epoch': '0.3099'} + 96%|██████████████████████████████▋ | 8614/9000 [7:34:44<18:44, 2.91s/it] {'lm_loss': '1.237', 'visual_loss': '2.095', 'seg_loss': '0.4894', 'dino_loss': '0.9149', 'depth_loss': '0.1915', 'vggt_mse_loss': '0.1905', 'vggt_cos_loss': '0.009822', 'pidinet_loss': '0.1362', 'siglip_loss': '0.3633', 'epoch': '0.3099'} + 96%|██████████████████████████████▋ | 8614/9000 [7:34:46<18:44, 2.91s/it][Dataset] cur_step=8615 phase=D_mixed_covt +[Dataset] cur_step=8615 phase=D_mixed_covt +[Dataset] cur_step=8615 phase=D_mixed_covt +[Dataset] cur_step=8615 phase=D_mixed_covt 96%|██████████████████████████████▋ | 8615/9000 [7:34:46<17:21, 2.71s/it] +[Dataset] cur_step=8615 phase=D_mixed_covt +[Dataset] cur_step=8615 phase=D_mixed_covt +[Dataset] cur_step=8615 phase=D_mixed_covt +[Dataset] cur_step=8615 phase=D_mixed_covt + {'loss': '3.347', 'grad_norm': '7.393', 'learning_rate': '2.497e-07', 'epoch': '0.3099'} + 96%|██████████████████████████████▋ | 8615/9000 [7:34:46<17:21, 2.71s/it] {'lm_loss': '0.5627', 'visual_loss': '2.758', 'seg_loss': '0.6375', 'dino_loss': '0.9281', 'depth_loss': '0.2959', 'vggt_mse_loss': '0.2937', 'vggt_cos_loss': '0.02201', 'pidinet_loss': '0.2543', 'siglip_loss': '0.6424', 'epoch': '0.3099'} + 96%|██████████████████████████████▋ | 8615/9000 [7:34:48<17:21, 2.71s/it][Dataset] cur_step=8616 phase=D_mixed_covt + 96%|██████████████████████████████▋ | 8616/9000 [7:34:48<16:14, 2.54s/it][Dataset] cur_step=8616 phase=D_mixed_covt +[Dataset] cur_step=8616 phase=D_mixed_covt +[Dataset] cur_step=8616 phase=D_mixed_covt +[Dataset] cur_step=8616 phase=D_mixed_covt +[Dataset] cur_step=8616 phase=D_mixed_covt +[Dataset] cur_step=8616 phase=D_mixed_covt +[Dataset] cur_step=8616 phase=D_mixed_covt + {'loss': '3.307', 'grad_norm': '5.495', 'learning_rate': '2.484e-07', 'epoch': '0.31'} + 96%|██████████████████████████████▋ | 8616/9000 [7:34:48<16:14, 2.54s/it] {'lm_loss': '0.5668', 'visual_loss': '1.44', 'seg_loss': '0.5724', 'dino_loss': '0', 'depth_loss': '0.1862', 'vggt_mse_loss': '0.1852', 'vggt_cos_loss': '0.009991', 'pidinet_loss': '0.1884', 'siglip_loss': '0.4935', 'epoch': '0.31'} + 96%|██████████████████████████████▋ | 8616/9000 [7:34:51<16:14, 2.54s/it][Dataset] cur_step=8617 phase=D_mixed_covt +[Dataset] cur_step=8617 phase=D_mixed_covt +[Dataset] cur_step=8617 phase=D_mixed_covt + 96%|██████████████████████████████▋ | 8617/9000 [7:34:51<17:13, 2.70s/it][Dataset] cur_step=8617 phase=D_mixed_covt +[Dataset] cur_step=8617 phase=D_mixed_covt[Dataset] cur_step=8617 phase=D_mixed_covt + +[Dataset] cur_step=8617 phase=D_mixed_covt +[Dataset] cur_step=8617 phase=D_mixed_covt + {'loss': '2.506', 'grad_norm': '2.051', 'learning_rate': '2.471e-07', 'epoch': '0.31'} + 96%|██████████████████████████████▋ | 8617/9000 [7:34:51<17:13, 2.70s/it] {'lm_loss': '0.7636', 'visual_loss': '2.774', 'seg_loss': '0.8464', 'dino_loss': '0.9313', 'depth_loss': '0.2471', 'vggt_mse_loss': '0.2454', 'vggt_cos_loss': '0.01723', 'pidinet_loss': '0.2493', 'siglip_loss': '0.4994', 'epoch': '0.31'} + 96%|██████████████████████████████▋ | 8617/9000 [7:34:53<17:13, 2.70s/it][Dataset] cur_step=8618 phase=D_mixed_covt +[Dataset] cur_step=8618 phase=D_mixed_covt +[Dataset] cur_step=8618 phase=D_mixed_covt[Dataset] cur_step=8618 phase=D_mixed_covt +[Dataset] cur_step=8618 phase=D_mixed_covt + + 96%|██████████████████████████████▋ | 8618/9000 [7:34:54<18:06, 2.84s/it][Dataset] cur_step=8618 phase=D_mixed_covt +[Dataset] cur_step=8618 phase=D_mixed_covt +[Dataset] cur_step=8618 phase=D_mixed_covt + {'loss': '3.371', 'grad_norm': '9.097', 'learning_rate': '2.459e-07', 'epoch': '0.31'} + 96%|██████████████████████████████▋ | 8618/9000 [7:34:54<18:06, 2.84s/it] {'lm_loss': '1.065', 'visual_loss': '2.79', 'seg_loss': '0.8117', 'dino_loss': '0.928', 'depth_loss': '0.423', 'vggt_mse_loss': '0.4203', 'vggt_cos_loss': '0.02794', 'pidinet_loss': '0.1991', 'siglip_loss': '0.4276', 'epoch': '0.31'} + 96%|██████████████████████████████▋ | 8618/9000 [7:34:56<18:06, 2.84s/it][Dataset] cur_step=8619 phase=D_mixed_covt +[Dataset] cur_step=8619 phase=D_mixed_covt + 96%|██████████████████████████████▋ | 8619/9000 [7:34:56<16:11, 2.55s/it][Dataset] cur_step=8619 phase=D_mixed_covt[Dataset] cur_step=8619 phase=D_mixed_covt + +[Dataset] cur_step=8619 phase=D_mixed_covt +[Dataset] cur_step=8619 phase=D_mixed_covt +[Dataset] cur_step=8619 phase=D_mixed_covt +[Dataset] cur_step=8619 phase=D_mixed_covt + {'loss': '3.473', 'grad_norm': '4.387', 'learning_rate': '2.446e-07', 'epoch': '0.3101'} + 96%|██████████████████████████████▋ | 8619/9000 [7:34:56<16:11, 2.55s/it] {'lm_loss': '0.8214', 'visual_loss': '2.299', 'seg_loss': '0.8459', 'dino_loss': '0.8974', 'depth_loss': '0.2209', 'vggt_mse_loss': '0.2193', 'vggt_cos_loss': '0.01593', 'pidinet_loss': '0', 'siglip_loss': '0.3345', 'epoch': '0.3101'} + 96%|██████████████████████████████▋ | 8619/9000 [7:34:58<16:11, 2.55s/it][Dataset] cur_step=8620 phase=D_mixed_covt[Dataset] cur_step=8620 phase=D_mixed_covt[Dataset] cur_step=8620 phase=D_mixed_covt + + +[Dataset] cur_step=8620 phase=D_mixed_covt[Dataset] cur_step=8620 phase=D_mixed_covt + +[Dataset] cur_step=8620 phase=D_mixed_covt +[Dataset] cur_step=8620 phase=D_mixed_covt +[Dataset] cur_step=8620 phase=D_mixed_covt 96%|██████████████████████████████▋ | 8620/9000 [7:34:58<15:06, 2.39s/it] + {'loss': '3.17', 'grad_norm': '3.451', 'learning_rate': '2.433e-07', 'epoch': '0.3101'} + 96%|██████████████████████████████▋ | 8620/9000 [7:34:58<15:06, 2.39s/it] {'lm_loss': '0.774', 'visual_loss': '2.644', 'seg_loss': '0.6227', 'dino_loss': '0.9393', 'depth_loss': '0.2449', 'vggt_mse_loss': '0.2437', 'vggt_cos_loss': '0.01218', 'pidinet_loss': '0.1948', 'siglip_loss': '0.6426', 'epoch': '0.3101'} + 96%|██████████████████████████████▋ | 8620/9000 [7:35:01<15:06, 2.39s/it][Dataset] cur_step=8621 phase=D_mixed_covt[Dataset] cur_step=8621 phase=D_mixed_covt + +[Dataset] cur_step=8621 phase=D_mixed_covt[Dataset] cur_step=8621 phase=D_mixed_covt + 96%|██████████████████████████████▋ | 8621/9000 [7:35:01<16:17, 2.58s/it] +[Dataset] cur_step=8621 phase=D_mixed_covt +[Dataset] cur_step=8621 phase=D_mixed_covt +[Dataset] cur_step=8621 phase=D_mixed_covt +[Dataset] cur_step=8621 phase=D_mixed_covt + {'loss': '3.028', 'grad_norm': '4.543', 'learning_rate': '2.42e-07', 'epoch': '0.3101'} + 96%|██████████████████████████████▋ | 8621/9000 [7:35:01<16:17, 2.58s/it] {'lm_loss': '0.1021', 'visual_loss': '2.761', 'seg_loss': '0.7333', 'dino_loss': '0.9764', 'depth_loss': '0.2232', 'vggt_mse_loss': '0.2217', 'vggt_cos_loss': '0.01519', 'pidinet_loss': '0.2402', 'siglip_loss': '0.5882', 'epoch': '0.3101'} + 96%|██████████████████████████████▋ | 8621/9000 [7:35:04<16:17, 2.58s/it][Dataset] cur_step=8622 phase=D_mixed_covt[Dataset] cur_step=8622 phase=D_mixed_covt + +[Dataset] cur_step=8622 phase=D_mixed_covt + 96%|██████████████████████████████▋ | 8622/9000 [7:35:04<16:30, 2.62s/it][Dataset] cur_step=8622 phase=D_mixed_covt[Dataset] cur_step=8622 phase=D_mixed_covt + +[Dataset] cur_step=8622 phase=D_mixed_covt +[Dataset] cur_step=8622 phase=D_mixed_covt +[Dataset] cur_step=8622 phase=D_mixed_covt + {'loss': '3.398', 'grad_norm': '42.71', 'learning_rate': '2.407e-07', 'epoch': '0.3102'} + 96%|██████████████████████████████▋ | 8622/9000 [7:35:04<16:30, 2.62s/it] {'lm_loss': '0.7074', 'visual_loss': '2.312', 'seg_loss': '0.7256', 'dino_loss': '0.8799', 'depth_loss': '0.1913', 'vggt_mse_loss': '0.19', 'vggt_cos_loss': '0.01324', 'pidinet_loss': '0', 'siglip_loss': '0.5155', 'epoch': '0.3102'} + 96%|██████████████████████████████▋ | 8622/9000 [7:35:06<16:30, 2.62s/it][Dataset] cur_step=8623 phase=D_mixed_covt +[Dataset] cur_step=8623 phase=D_mixed_covt +[Dataset] cur_step=8623 phase=D_mixed_covt +[Dataset] cur_step=8623 phase=D_mixed_covt +[Dataset] cur_step=8623 phase=D_mixed_covt[Dataset] cur_step=8623 phase=D_mixed_covt +[Dataset] cur_step=8623 phase=D_mixed_covt + +[Dataset] cur_step=8623 phase=D_mixed_covt + 96%|██████████████████████████████▋ | 8623/9000 [7:35:07<18:01, 2.87s/it] {'loss': '3.129', 'grad_norm': '2.595', 'learning_rate': '2.395e-07', 'epoch': '0.3102'} + 96%|██████████████████████████████▋ | 8623/9000 [7:35:07<18:01, 2.87s/it] {'lm_loss': '0.6003', 'visual_loss': '2.702', 'seg_loss': '0.7794', 'dino_loss': '0.951', 'depth_loss': '0.2574', 'vggt_mse_loss': '0.2553', 'vggt_cos_loss': '0.02069', 'pidinet_loss': '0.2542', 'siglip_loss': '0.4599', 'epoch': '0.3102'} + 96%|██████████████████████████████▋ | 8623/9000 [7:35:09<18:01, 2.87s/it][Dataset] cur_step=8624 phase=D_mixed_covt +[Dataset] cur_step=8624 phase=D_mixed_covt[Dataset] cur_step=8624 phase=D_mixed_covt + +[Dataset] cur_step=8624 phase=D_mixed_covt +[Dataset] cur_step=8624 phase=D_mixed_covt + 96%|██████████████████████████████▋ | 8624/9000 [7:35:10<17:56, 2.86s/it][Dataset] cur_step=8624 phase=D_mixed_covt +[Dataset] cur_step=8624 phase=D_mixed_covt +[Dataset] cur_step=8624 phase=D_mixed_covt + {'loss': '3.146', 'grad_norm': '3.146', 'learning_rate': '2.382e-07', 'epoch': '0.3102'} + 96%|██████████████████████████████▋ | 8624/9000 [7:35:10<17:56, 2.86s/it] {'lm_loss': '0.09254', 'visual_loss': '2.744', 'seg_loss': '0.7968', 'dino_loss': '0.8845', 'depth_loss': '0.2081', 'vggt_mse_loss': '0.2066', 'vggt_cos_loss': '0.01456', 'pidinet_loss': '0.3224', 'siglip_loss': '0.5321', 'epoch': '0.3102'} + 96%|██████████████████████████████▋ | 8624/9000 [7:35:12<17:56, 2.86s/it][Dataset] cur_step=8625 phase=D_mixed_covt +[Dataset] cur_step=8625 phase=D_mixed_covt +[Dataset] cur_step=8625 phase=D_mixed_covt +[Dataset] cur_step=8625 phase=D_mixed_covt +[Dataset] cur_step=8625 phase=D_mixed_covt +[Dataset] cur_step=8625 phase=D_mixed_covt +[Dataset] cur_step=8625 phase=D_mixed_covt +[Dataset] cur_step=8625 phase=D_mixed_covt + 96%|██████████████████████████████▋ | 8625/9000 [7:35:13<17:47, 2.85s/it] {'loss': '3.188', 'grad_norm': '2.952', 'learning_rate': '2.369e-07', 'epoch': '0.3103'} + 96%|██████████████████████████████▋ | 8625/9000 [7:35:13<17:47, 2.85s/it] {'lm_loss': '0.2917', 'visual_loss': '2.627', 'seg_loss': '0.6675', 'dino_loss': '0.8507', 'depth_loss': '0.2137', 'vggt_mse_loss': '0.2121', 'vggt_cos_loss': '0.01579', 'pidinet_loss': '0.3086', 'siglip_loss': '0.5865', 'epoch': '0.3103'} + 96%|██████████████████████████████▋ | 8625/9000 [7:35:16<17:47, 2.85s/it][Dataset] cur_step=8626 phase=D_mixed_covt +[Dataset] cur_step=8626 phase=D_mixed_covt +[Dataset] cur_step=8626 phase=D_mixed_covt +[Dataset] cur_step=8626 phase=D_mixed_covt +[Dataset] cur_step=8626 phase=D_mixed_covt + 96%|██████████████████████████████▋ | 8626/9000 [7:35:16<18:26, 2.96s/it][Dataset] cur_step=8626 phase=D_mixed_covt +[Dataset] cur_step=8626 phase=D_mixed_covt +[Dataset] cur_step=8626 phase=D_mixed_covt + {'loss': '3.152', 'grad_norm': '2.403', 'learning_rate': '2.357e-07', 'epoch': '0.3103'} + 96%|██████████████████████████████▋ | 8626/9000 [7:35:16<18:26, 2.96s/it] {'lm_loss': '0.813', 'visual_loss': '2.791', 'seg_loss': '0.7086', 'dino_loss': '0.9072', 'depth_loss': '0.2332', 'vggt_mse_loss': '0.2311', 'vggt_cos_loss': '0.02008', 'pidinet_loss': '0.1464', 'siglip_loss': '0.7953', 'epoch': '0.3103'} + 96%|██████████████████████████████▋ | 8626/9000 [7:35:18<18:26, 2.96s/it][Dataset] cur_step=8627 phase=D_mixed_covt +[Dataset] cur_step=8627 phase=D_mixed_covt +[Dataset] cur_step=8627 phase=D_mixed_covt[Dataset] cur_step=8627 phase=D_mixed_covt + +[Dataset] cur_step=8627 phase=D_mixed_covt +[Dataset] cur_step=8627 phase=D_mixed_covt + 96%|██████████████████████████████▋ | 8627/9000 [7:35:19<17:30, 2.82s/it][Dataset] cur_step=8627 phase=D_mixed_covt +[Dataset] cur_step=8627 phase=D_mixed_covt + {'loss': '3.334', 'grad_norm': '7.155', 'learning_rate': '2.344e-07', 'epoch': '0.3104'} + 96%|██████████████████████████████▋ | 8627/9000 [7:35:19<17:30, 2.82s/it] {'lm_loss': '0.4991', 'visual_loss': '2.839', 'seg_loss': '0.7584', 'dino_loss': '0.8794', 'depth_loss': '0.2475', 'vggt_mse_loss': '0.2466', 'vggt_cos_loss': '0.009716', 'pidinet_loss': '0.2301', 'siglip_loss': '0.724', 'epoch': '0.3104'} + 96%|██████████████████████████████▋ | 8627/9000 [7:35:22<17:30, 2.82s/it][Dataset] cur_step=8628 phase=D_mixed_covt +[Dataset] cur_step=8628 phase=D_mixed_covt + 96%|██████████████████████████████▋ | 8628/9000 [7:35:22<18:05, 2.92s/it][Dataset] cur_step=8628 phase=D_mixed_covt +[Dataset] cur_step=8628 phase=D_mixed_covt +[Dataset] cur_step=8628 phase=D_mixed_covt[Dataset] cur_step=8628 phase=D_mixed_covt +[Dataset] cur_step=8628 phase=D_mixed_covt +[Dataset] cur_step=8628 phase=D_mixed_covt + + {'loss': '3.345', 'grad_norm': '3.252', 'learning_rate': '2.332e-07', 'epoch': '0.3104'} + 96%|██████████████████████████████▋ | 8628/9000 [7:35:22<18:05, 2.92s/it] {'lm_loss': '0.6058', 'visual_loss': '2.784', 'seg_loss': '0.6821', 'dino_loss': '0.9489', 'depth_loss': '0.1478', 'vggt_mse_loss': '0.147', 'vggt_cos_loss': '0.008', 'pidinet_loss': '0.3864', 'siglip_loss': '0.6189', 'epoch': '0.3104'} + 96%|██████████████████████████████▋ | 8628/9000 [7:35:24<18:05, 2.92s/it][Dataset] cur_step=8629 phase=D_mixed_covt +[Dataset] cur_step=8629 phase=D_mixed_covt +[Dataset] cur_step=8629 phase=D_mixed_covt[Dataset] cur_step=8629 phase=D_mixed_covt + +[Dataset] cur_step=8629 phase=D_mixed_covt +[Dataset] cur_step=8629 phase=D_mixed_covt +[Dataset] cur_step=8629 phase=D_mixed_covt +[Dataset] cur_step=8629 phase=D_mixed_covt 96%|██████████████████████████████▋ | 8629/9000 [7:35:25<18:29, 2.99s/it] + {'loss': '3.2', 'grad_norm': '2.412', 'learning_rate': '2.319e-07', 'epoch': '0.3104'} + 96%|██████████████████████████████▋ | 8629/9000 [7:35:25<18:29, 2.99s/it] {'lm_loss': '0.9992', 'visual_loss': '2.397', 'seg_loss': '0.5074', 'dino_loss': '0.9232', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2142', 'siglip_loss': '0.7522', 'epoch': '0.3104'} + 96%|██████████████████████████████▋ | 8629/9000 [7:35:27<18:29, 2.99s/it][Dataset] cur_step=8630 phase=D_mixed_covt +[Dataset] cur_step=8630 phase=D_mixed_covt + 96%|██████████████████████████████▋ | 8630/9000 [7:35:27<16:13, 2.63s/it][Dataset] cur_step=8630 phase=D_mixed_covt[Dataset] cur_step=8630 phase=D_mixed_covt[Dataset] cur_step=8630 phase=D_mixed_covt + + +[Dataset] cur_step=8630 phase=D_mixed_covt +[Dataset] cur_step=8630 phase=D_mixed_covt +[Dataset] cur_step=8630 phase=D_mixed_covt + {'loss': '3.098', 'grad_norm': '3.309', 'learning_rate': '2.307e-07', 'epoch': '0.3105'} + 96%|██████████████████████████████▋ | 8630/9000 [7:35:27<16:13, 2.63s/it] {'lm_loss': '0.9728', 'visual_loss': '2.079', 'seg_loss': '0.54', 'dino_loss': '0.8851', 'depth_loss': '0.159', 'vggt_mse_loss': '0.1581', 'vggt_cos_loss': '0.008485', 'pidinet_loss': '0.1147', 'siglip_loss': '0.3803', 'epoch': '0.3105'} + 96%|██████████████████████████████▋ | 8630/9000 [7:35:30<16:13, 2.63s/it][Dataset] cur_step=8631 phase=D_mixed_covt +[Dataset] cur_step=8631 phase=D_mixed_covt 96%|██████████████████████████████▋ | 8631/9000 [7:35:31<17:56, 2.92s/it] +[Dataset] cur_step=8631 phase=D_mixed_covt +[Dataset] cur_step=8631 phase=D_mixed_covt +[Dataset] cur_step=8631 phase=D_mixed_covt +[Dataset] cur_step=8631 phase=D_mixed_covt +[Dataset] cur_step=8631 phase=D_mixed_covt +[Dataset] cur_step=8631 phase=D_mixed_covt + {'loss': '3.115', 'grad_norm': '125.5', 'learning_rate': '2.294e-07', 'epoch': '0.3105'} + 96%|██████████████████████████████▋ | 8631/9000 [7:35:31<17:56, 2.92s/it] {'lm_loss': '1.122', 'visual_loss': '2.174', 'seg_loss': '0.6472', 'dino_loss': '0.8967', 'depth_loss': '0.1046', 'vggt_mse_loss': '0.1038', 'vggt_cos_loss': '0.007398', 'pidinet_loss': '0.1978', 'siglip_loss': '0.3276', 'epoch': '0.3105'} + 96%|██████████████████████████████▋ | 8631/9000 [7:35:32<17:56, 2.92s/it][Dataset] cur_step=8632 phase=D_mixed_covt +[Dataset] cur_step=8632 phase=D_mixed_covt +[Dataset] cur_step=8632 phase=D_mixed_covt +[Dataset] cur_step=8632 phase=D_mixed_covt + 96%|██████████████████████████████▋ | 8632/9000 [7:35:33<16:12, 2.64s/it][Dataset] cur_step=8632 phase=D_mixed_covt +[Dataset] cur_step=8632 phase=D_mixed_covt +[Dataset] cur_step=8632 phase=D_mixed_covt +[Dataset] cur_step=8632 phase=D_mixed_covt + {'loss': '3.518', 'grad_norm': '3.606', 'learning_rate': '2.282e-07', 'epoch': '0.3105'} + 96%|██████████████████████████████▋ | 8632/9000 [7:35:33<16:12, 2.64s/it] {'lm_loss': '0.652', 'visual_loss': '2.108', 'seg_loss': '0.6562', 'dino_loss': '0.9294', 'depth_loss': '0.2578', 'vggt_mse_loss': '0.2561', 'vggt_cos_loss': '0.01693', 'pidinet_loss': '0.265', 'siglip_loss': '0', 'epoch': '0.3105'} + 96%|██████████████████████████████▋ | 8632/9000 [7:35:34<16:12, 2.64s/it][Dataset] cur_step=8633 phase=D_mixed_covt +[Dataset] cur_step=8633 phase=D_mixed_covt +[Dataset] cur_step=8633 phase=D_mixed_covt[Dataset] cur_step=8633 phase=D_mixed_covt[Dataset] cur_step=8633 phase=D_mixed_covt + + +[Dataset] cur_step=8633 phase=D_mixed_covt 96%|██████████████████████████████▋ | 8633/9000 [7:35:35<15:08, 2.48s/it] +[Dataset] cur_step=8633 phase=D_mixed_covt +[Dataset] cur_step=8633 phase=D_mixed_covt + {'loss': '2.773', 'grad_norm': '2.826', 'learning_rate': '2.27e-07', 'epoch': '0.3106'} + 96%|██████████████████████████████▋ | 8633/9000 [7:35:35<15:08, 2.48s/it] {'lm_loss': '0.6712', 'visual_loss': '1.941', 'seg_loss': '0.5728', 'dino_loss': '0', 'depth_loss': '0.5766', 'vggt_mse_loss': '0.5741', 'vggt_cos_loss': '0.02577', 'pidinet_loss': '0.2534', 'siglip_loss': '0.5378', 'epoch': '0.3106'} + 96%|██████████████████████████████▋ | 8633/9000 [7:35:36<15:08, 2.48s/it][Dataset] cur_step=8634 phase=D_mixed_covt +[Dataset] cur_step=8634 phase=D_mixed_covt +[Dataset] cur_step=8634 phase=D_mixed_covt +[Dataset] cur_step=8634 phase=D_mixed_covt +[Dataset] cur_step=8634 phase=D_mixed_covt +[Dataset] cur_step=8634 phase=D_mixed_covt +[Dataset] cur_step=8634 phase=D_mixed_covt +[Dataset] cur_step=8634 phase=D_mixed_covt + 96%|██████████████████████████████▋ | 8634/9000 [7:35:37<14:12, 2.33s/it] {'loss': '2.637', 'grad_norm': '15.01', 'learning_rate': '2.257e-07', 'epoch': '0.3106'} + 96%|██████████████████████████████▋ | 8634/9000 [7:35:37<14:12, 2.33s/it] {'lm_loss': '0.07939', 'visual_loss': '2.412', 'seg_loss': '0.6629', 'dino_loss': '0.9034', 'depth_loss': '0.19', 'vggt_mse_loss': '0.1886', 'vggt_cos_loss': '0.01453', 'pidinet_loss': '0.1761', 'siglip_loss': '0.4792', 'epoch': '0.3106'} + 96%|██████████████████████████████▋ | 8634/9000 [7:35:39<14:12, 2.33s/it][Dataset] cur_step=8635 phase=D_mixed_covt +[Dataset] cur_step=8635 phase=D_mixed_covt +[Dataset] cur_step=8635 phase=D_mixed_covt + 96%|██████████████████████████████▋ | 8635/9000 [7:35:39<14:45, 2.43s/it][Dataset] cur_step=8635 phase=D_mixed_covt +[Dataset] cur_step=8635 phase=D_mixed_covt[Dataset] cur_step=8635 phase=D_mixed_covt + +[Dataset] cur_step=8635 phase=D_mixed_covt +[Dataset] cur_step=8635 phase=D_mixed_covt + {'loss': '3.195', 'grad_norm': '2.168', 'learning_rate': '2.245e-07', 'epoch': '0.3106'} + 96%|██████████████████████████████▋ | 8635/9000 [7:35:39<14:45, 2.43s/it] {'lm_loss': '0.6419', 'visual_loss': '2.58', 'seg_loss': '0.7379', 'dino_loss': '0.929', 'depth_loss': '0.1499', 'vggt_mse_loss': '0.1489', 'vggt_cos_loss': '0.01034', 'pidinet_loss': '0.2424', 'siglip_loss': '0.5209', 'epoch': '0.3106'} + 96%|██████████████████████████████▋ | 8635/9000 [7:35:41<14:45, 2.43s/it][Dataset] cur_step=8636 phase=D_mixed_covt +[Dataset] cur_step=8636 phase=D_mixed_covt[Dataset] cur_step=8636 phase=D_mixed_covt + +[Dataset] cur_step=8636 phase=D_mixed_covt +[Dataset] cur_step=8636 phase=D_mixed_covt +[Dataset] cur_step=8636 phase=D_mixed_covt +[Dataset] cur_step=8636 phase=D_mixed_covt + 96%|██████████████████████████████▋ | 8636/9000 [7:35:41<13:42, 2.26s/it][Dataset] cur_step=8636 phase=D_mixed_covt + {'loss': '3.365', 'grad_norm': '3.502', 'learning_rate': '2.233e-07', 'epoch': '0.3107'} + 96%|██████████████████████████████▋ | 8636/9000 [7:35:41<13:42, 2.26s/it] {'lm_loss': '0.4772', 'visual_loss': '2.475', 'seg_loss': '0.7885', 'dino_loss': '0.8908', 'depth_loss': '0.1953', 'vggt_mse_loss': '0.1939', 'vggt_cos_loss': '0.01388', 'pidinet_loss': '0.09895', 'siglip_loss': '0.5011', 'epoch': '0.3107'} + 96%|██████████████████████████████▋ | 8636/9000 [7:35:42<13:42, 2.26s/it][Dataset] cur_step=8637 phase=D_mixed_covt +[Dataset] cur_step=8637 phase=D_mixed_covt +[Dataset] cur_step=8637 phase=D_mixed_covt +[Dataset] cur_step=8637 phase=D_mixed_covt[Dataset] cur_step=8637 phase=D_mixed_covt +[Dataset] cur_step=8637 phase=D_mixed_covt + + 96%|██████████████████████████████▋ | 8637/9000 [7:35:43<13:01, 2.15s/it][Dataset] cur_step=8637 phase=D_mixed_covt +[Dataset] cur_step=8637 phase=D_mixed_covt + {'loss': '3.19', 'grad_norm': '3.089', 'learning_rate': '2.22e-07', 'epoch': '0.3107'} + 96%|██████████████████████████████▋ | 8637/9000 [7:35:43<13:01, 2.15s/it] {'lm_loss': '0.7047', 'visual_loss': '2.88', 'seg_loss': '0.8027', 'dino_loss': '0.9148', 'depth_loss': '0.4436', 'vggt_mse_loss': '0.4392', 'vggt_cos_loss': '0.04379', 'pidinet_loss': '0.257', 'siglip_loss': '0.4618', 'epoch': '0.3107'} + 96%|██████████████████████████████▋ | 8637/9000 [7:35:44<13:01, 2.15s/it][Dataset] cur_step=8638 phase=D_mixed_covt +[Dataset] cur_step=8638 phase=D_mixed_covt +[Dataset] cur_step=8638 phase=D_mixed_covt +[Dataset] cur_step=8638 phase=D_mixed_covt +[Dataset] cur_step=8638 phase=D_mixed_covt +[Dataset] cur_step=8638 phase=D_mixed_covt +[Dataset] cur_step=8638 phase=D_mixed_covt + 96%|██████████████████████████████▋ | 8638/9000 [7:35:45<12:26, 2.06s/it][Dataset] cur_step=8638 phase=D_mixed_covt + {'loss': '3.267', 'grad_norm': '9.513', 'learning_rate': '2.208e-07', 'epoch': '0.3108'} + 96%|██████████████████████████████▋ | 8638/9000 [7:35:45<12:26, 2.06s/it] {'lm_loss': '0.3902', 'visual_loss': '1.949', 'seg_loss': '0.5109', 'dino_loss': '0.8475', 'depth_loss': '0.1387', 'vggt_mse_loss': '0.1382', 'vggt_cos_loss': '0.005545', 'pidinet_loss': '0.08719', 'siglip_loss': '0.3643', 'epoch': '0.3108'} + 96%|██████████████████████████████▋ | 8638/9000 [7:35:47<12:26, 2.06s/it][Dataset] cur_step=8639 phase=D_mixed_covt +[Dataset] cur_step=8639 phase=D_mixed_covt[Dataset] cur_step=8639 phase=D_mixed_covt + +[Dataset] cur_step=8639 phase=D_mixed_covt +[Dataset] cur_step=8639 phase=D_mixed_covt[Dataset] cur_step=8639 phase=D_mixed_covt + +[Dataset] cur_step=8639 phase=D_mixed_covt +[Dataset] cur_step=8639 phase=D_mixed_covt + 96%|██████████████████████████████▋ | 8639/9000 [7:35:48<13:48, 2.30s/it] {'loss': '3.129', 'grad_norm': '15.16', 'learning_rate': '2.196e-07', 'epoch': '0.3108'} + 96%|██████████████████████████████▋ | 8639/9000 [7:35:48<13:48, 2.30s/it] {'lm_loss': '1.196', 'visual_loss': '2.427', 'seg_loss': '0.6531', 'dino_loss': '0.9177', 'depth_loss': '0.2182', 'vggt_mse_loss': '0.2165', 'vggt_cos_loss': '0.01741', 'pidinet_loss': '0.1845', 'siglip_loss': '0.4531', 'epoch': '0.3108'} + 96%|██████████████████████████████▋ | 8639/9000 [7:35:50<13:48, 2.30s/it][Dataset] cur_step=8640 phase=D_mixed_covt +[Dataset] cur_step=8640 phase=D_mixed_covt +[Dataset] cur_step=8640 phase=D_mixed_covt[Dataset] cur_step=8640 phase=D_mixed_covt[Dataset] cur_step=8640 phase=D_mixed_covt + + +[Dataset] cur_step=8640 phase=D_mixed_covt +[Dataset] cur_step=8640 phase=D_mixed_covt +[Dataset] cur_step=8640 phase=D_mixed_covt + 96%|██████████████████████████████▋ | 8640/9000 [7:35:50<14:32, 2.42s/it] {'loss': '3.178', 'grad_norm': '3.905', 'learning_rate': '2.184e-07', 'epoch': '0.3108'} + 96%|██████████████████████████████▋ | 8640/9000 [7:35:50<14:32, 2.42s/it] {'lm_loss': '0.6461', 'visual_loss': '2.683', 'seg_loss': '0.8551', 'dino_loss': '0.9364', 'depth_loss': '0.217', 'vggt_mse_loss': '0.2154', 'vggt_cos_loss': '0.01569', 'pidinet_loss': '0.1925', 'siglip_loss': '0.4823', 'epoch': '0.3108'} + 96%|██████████████████████████████▋ | 8640/9000 [7:35:52<14:32, 2.42s/it][Dataset] cur_step=8641 phase=D_mixed_covt +[Dataset] cur_step=8641 phase=D_mixed_covt +[Dataset] cur_step=8641 phase=D_mixed_covt +[Dataset] cur_step=8641 phase=D_mixed_covt +[Dataset] cur_step=8641 phase=D_mixed_covt +[Dataset] cur_step=8641 phase=D_mixed_covt +[Dataset] cur_step=8641 phase=D_mixed_covt +[Dataset] cur_step=8641 phase=D_mixed_covt + 96%|██████████████████████████████▋ | 8641/9000 [7:35:52<13:51, 2.32s/it] {'loss': '3.027', 'grad_norm': '9.116', 'learning_rate': '2.172e-07', 'epoch': '0.3109'} + 96%|██████████████████████████████▋ | 8641/9000 [7:35:53<13:51, 2.32s/it] {'lm_loss': '1.127', 'visual_loss': '2.764', 'seg_loss': '0.6477', 'dino_loss': '0.896', 'depth_loss': '0.4536', 'vggt_mse_loss': '0.4495', 'vggt_cos_loss': '0.04076', 'pidinet_loss': '0', 'siglip_loss': '0.7669', 'epoch': '0.3109'} + 96%|██████████████████████████████▋ | 8641/9000 [7:35:55<13:51, 2.32s/it][Dataset] cur_step=8642 phase=D_mixed_covt +[Dataset] cur_step=8642 phase=D_mixed_covt +[Dataset] cur_step=8642 phase=D_mixed_covt +[Dataset] cur_step=8642 phase=D_mixed_covt +[Dataset] cur_step=8642 phase=D_mixed_covt + 96%|██████████████████████████████▋ | 8642/9000 [7:35:55<14:42, 2.47s/it][Dataset] cur_step=8642 phase=D_mixed_covt +[Dataset] cur_step=8642 phase=D_mixed_covt +[Dataset] cur_step=8642 phase=D_mixed_covt + {'loss': '3.203', 'grad_norm': '2.554', 'learning_rate': '2.16e-07', 'epoch': '0.3109'} + 96%|██████████████████████████████▋ | 8642/9000 [7:35:55<14:42, 2.47s/it] {'lm_loss': '0.7588', 'visual_loss': '2.096', 'seg_loss': '0.7746', 'dino_loss': '0.8659', 'depth_loss': '0.226', 'vggt_mse_loss': '0.2239', 'vggt_cos_loss': '0.02185', 'pidinet_loss': '0.2293', 'siglip_loss': '0', 'epoch': '0.3109'} + 96%|██████████████████████████████▋ | 8642/9000 [7:36:01<14:42, 2.47s/it][Dataset] cur_step=8643 phase=D_mixed_covt + 96%|██████████████████████████████▋ | 8643/9000 [7:36:01<20:13, 3.40s/it][Dataset] cur_step=8643 phase=D_mixed_covt +[Dataset] cur_step=8643 phase=D_mixed_covt +[Dataset] cur_step=8643 phase=D_mixed_covt +[Dataset] cur_step=8643 phase=D_mixed_covt +[Dataset] cur_step=8643 phase=D_mixed_covt +[Dataset] cur_step=8643 phase=D_mixed_covt +[Dataset] cur_step=8643 phase=D_mixed_covt + {'loss': '2.669', 'grad_norm': '3.397', 'learning_rate': '2.148e-07', 'epoch': '0.3109'} + 96%|██████████████████████████████▋ | 8643/9000 [7:36:01<20:13, 3.40s/it] {'lm_loss': '0.7632', 'visual_loss': '2.653', 'seg_loss': '0.5863', 'dino_loss': '0.8761', 'depth_loss': '0.1882', 'vggt_mse_loss': '0.1869', 'vggt_cos_loss': '0.01336', 'pidinet_loss': '0.3654', 'siglip_loss': '0.6375', 'epoch': '0.3109'} + 96%|██████████████████████████████▋ | 8643/9000 [7:36:02<20:13, 3.40s/it][Dataset] cur_step=8644 phase=D_mixed_covt +[Dataset] cur_step=8644 phase=D_mixed_covt +[Dataset] cur_step=8644 phase=D_mixed_covt[Dataset] cur_step=8644 phase=D_mixed_covt + + 96%|██████████████████████████████▋ | 8644/9000 [7:36:03<17:36, 2.97s/it][Dataset] cur_step=8644 phase=D_mixed_covt[Dataset] cur_step=8644 phase=D_mixed_covt +[Dataset] cur_step=8644 phase=D_mixed_covt + +[Dataset] cur_step=8644 phase=D_mixed_covt + {'loss': '3.33', 'grad_norm': '3.31', 'learning_rate': '2.136e-07', 'epoch': '0.311'} + 96%|██████████████████████████████▋ | 8644/9000 [7:36:03<17:36, 2.97s/it] {'lm_loss': '0.7456', 'visual_loss': '2.64', 'seg_loss': '0.6301', 'dino_loss': '0.901', 'depth_loss': '0.1934', 'vggt_mse_loss': '0.1919', 'vggt_cos_loss': '0.01491', 'pidinet_loss': '0.2633', 'siglip_loss': '0.6518', 'epoch': '0.311'} + 96%|██████████████████████████████▋ | 8644/9000 [7:36:06<17:36, 2.97s/it][Dataset] cur_step=8645 phase=D_mixed_covt[Dataset] cur_step=8645 phase=D_mixed_covt + +[Dataset] cur_step=8645 phase=D_mixed_covt +[Dataset] cur_step=8645 phase=D_mixed_covt +[Dataset] cur_step=8645 phase=D_mixed_covt + 96%|██████████████████████████████▋ | 8645/9000 [7:36:06<18:21, 3.10s/it][Dataset] cur_step=8645 phase=D_mixed_covt +[Dataset] cur_step=8645 phase=D_mixed_covt +[Dataset] cur_step=8645 phase=D_mixed_covt + {'loss': '3.268', 'grad_norm': '69.13', 'learning_rate': '2.124e-07', 'epoch': '0.311'} + 96%|██████████████████████████████▋ | 8645/9000 [7:36:06<18:21, 3.10s/it] {'lm_loss': '0.08063', 'visual_loss': '2.367', 'seg_loss': '0.6047', 'dino_loss': '0.9041', 'depth_loss': '0.1917', 'vggt_mse_loss': '0.1909', 'vggt_cos_loss': '0.008788', 'pidinet_loss': '0.1989', 'siglip_loss': '0.4676', 'epoch': '0.311'} + 96%|██████████████████████████████▋ | 8645/9000 [7:36:08<18:21, 3.10s/it][Dataset] cur_step=8646 phase=D_mixed_covt +[Dataset] cur_step=8646 phase=D_mixed_covt +[Dataset] cur_step=8646 phase=D_mixed_covt +[Dataset] cur_step=8646 phase=D_mixed_covt +[Dataset] cur_step=8646 phase=D_mixed_covt +[Dataset] cur_step=8646 phase=D_mixed_covt[Dataset] cur_step=8646 phase=D_mixed_covt + +[Dataset] cur_step=8646 phase=D_mixed_covt + 96%|██████████████████████████████▋ | 8646/9000 [7:36:09<17:56, 3.04s/it] {'loss': '2.834', 'grad_norm': '2.948', 'learning_rate': '2.112e-07', 'epoch': '0.311'} + 96%|██████████████████████████████▋ | 8646/9000 [7:36:09<17:56, 3.04s/it] {'lm_loss': '0.108', 'visual_loss': '2.445', 'seg_loss': '0.6052', 'dino_loss': '0.9114', 'depth_loss': '0.1522', 'vggt_mse_loss': '0.1512', 'vggt_cos_loss': '0.009501', 'pidinet_loss': '0.3444', 'siglip_loss': '0.432', 'epoch': '0.311'} + 96%|██████████████████████████████▋ | 8646/9000 [7:36:11<17:56, 3.04s/it][Dataset] cur_step=8647 phase=D_mixed_covt +[Dataset] cur_step=8647 phase=D_mixed_covt +[Dataset] cur_step=8647 phase=D_mixed_covt +[Dataset] cur_step=8647 phase=D_mixed_covt +[Dataset] cur_step=8647 phase=D_mixed_covt +[Dataset] cur_step=8647 phase=D_mixed_covt + 96%|██████████████████████████████▋ | 8647/9000 [7:36:12<17:37, 2.99s/it][Dataset] cur_step=8647 phase=D_mixed_covt +[Dataset] cur_step=8647 phase=D_mixed_covt + {'loss': '3.249', 'grad_norm': '3.114', 'learning_rate': '2.1e-07', 'epoch': '0.3111'} + 96%|██████████████████████████████▋ | 8647/9000 [7:36:12<17:37, 2.99s/it] {'lm_loss': '0.7115', 'visual_loss': '1.932', 'seg_loss': '0.7968', 'dino_loss': '0', 'depth_loss': '0.1535', 'vggt_mse_loss': '0.1526', 'vggt_cos_loss': '0.00925', 'pidinet_loss': '0.2334', 'siglip_loss': '0.748', 'epoch': '0.3111'} + 96%|██████████████████████████████▋ | 8647/9000 [7:36:14<17:37, 2.99s/it][Dataset] cur_step=8648 phase=D_mixed_covt +[Dataset] cur_step=8648 phase=D_mixed_covt[Dataset] cur_step=8648 phase=D_mixed_covt + +[Dataset] cur_step=8648 phase=D_mixed_covt +[Dataset] cur_step=8648 phase=D_mixed_covt +[Dataset] cur_step=8648 phase=D_mixed_covt +[Dataset] cur_step=8648 phase=D_mixed_covt +[Dataset] cur_step=8648 phase=D_mixed_covt + 96%|██████████████████████████████▋ | 8648/9000 [7:36:15<16:54, 2.88s/it] {'loss': '2.351', 'grad_norm': '4.363', 'learning_rate': '2.088e-07', 'epoch': '0.3111'} + 96%|██████████████████████████████▋ | 8648/9000 [7:36:15<16:54, 2.88s/it] {'lm_loss': '0.8486', 'visual_loss': '2.617', 'seg_loss': '0.7329', 'dino_loss': '0.9417', 'depth_loss': '0.2472', 'vggt_mse_loss': '0.2454', 'vggt_cos_loss': '0.01722', 'pidinet_loss': '0.2365', 'siglip_loss': '0.4583', 'epoch': '0.3111'} + 96%|██████████████████████████████▋ | 8648/9000 [7:36:16<16:54, 2.88s/it][Dataset] cur_step=8649 phase=D_mixed_covt[Dataset] cur_step=8649 phase=D_mixed_covt + +[Dataset] cur_step=8649 phase=D_mixed_covt[Dataset] cur_step=8649 phase=D_mixed_covt + +[Dataset] cur_step=8649 phase=D_mixed_covt + 96%|██████████████████████████████▊ | 8649/9000 [7:36:17<15:20, 2.62s/it][Dataset] cur_step=8649 phase=D_mixed_covt[Dataset] cur_step=8649 phase=D_mixed_covt + +[Dataset] cur_step=8649 phase=D_mixed_covt + {'loss': '3.224', 'grad_norm': '3.947', 'learning_rate': '2.076e-07', 'epoch': '0.3111'} + 96%|██████████████████████████████▊ | 8649/9000 [7:36:17<15:20, 2.62s/it] {'lm_loss': '0.4938', 'visual_loss': '2.289', 'seg_loss': '0.6177', 'dino_loss': '0.8985', 'depth_loss': '0.1571', 'vggt_mse_loss': '0.1564', 'vggt_cos_loss': '0.007124', 'pidinet_loss': '0.1323', 'siglip_loss': '0.4834', 'epoch': '0.3111'} + 96%|██████████████████████████████▊ | 8649/9000 [7:36:21<15:20, 2.62s/it][Dataset] cur_step=8650 phase=D_mixed_covt +[Dataset] cur_step=8650 phase=D_mixed_covt +[Dataset] cur_step=8650 phase=D_mixed_covt + 96%|██████████████████████████████▊ | 8650/9000 [7:36:21<18:09, 3.11s/it][Dataset] cur_step=8650 phase=D_mixed_covt +[Dataset] cur_step=8650 phase=D_mixed_covt +[Dataset] cur_step=8650 phase=D_mixed_covt +[Dataset] cur_step=8650 phase=D_mixed_covt +[Dataset] cur_step=8650 phase=D_mixed_covt + {'loss': '3.157', 'grad_norm': '2.593', 'learning_rate': '2.065e-07', 'epoch': '0.3112'} + 96%|██████████████████████████████▊ | 8650/9000 [7:36:21<18:09, 3.11s/it] {'lm_loss': '0.5123', 'visual_loss': '2.4', 'seg_loss': '0.7395', 'dino_loss': '0.9453', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.198', 'siglip_loss': '0.5171', 'epoch': '0.3112'} + 96%|██████████████████████████████▊ | 8650/9000 [7:36:22<18:09, 3.11s/it][Dataset] cur_step=8651 phase=D_mixed_covt +[Dataset] cur_step=8651 phase=D_mixed_covt +[Dataset] cur_step=8651 phase=D_mixed_covt +[Dataset] cur_step=8651 phase=D_mixed_covt +[Dataset] cur_step=8651 phase=D_mixed_covt +[Dataset] cur_step=8651 phase=D_mixed_covt +[Dataset] cur_step=8651 phase=D_mixed_covt +[Dataset] cur_step=8651 phase=D_mixed_covt + 96%|██████████████████████████████▊ | 8651/9000 [7:36:23<15:45, 2.71s/it] {'loss': '3.057', 'grad_norm': '3.878', 'learning_rate': '2.053e-07', 'epoch': '0.3112'} + 96%|██████████████████████████████▊ | 8651/9000 [7:36:23<15:45, 2.71s/it] {'lm_loss': '0.06794', 'visual_loss': '2.656', 'seg_loss': '0.5873', 'dino_loss': '0.9231', 'depth_loss': '0.2296', 'vggt_mse_loss': '0.2282', 'vggt_cos_loss': '0.01363', 'pidinet_loss': '0.2567', 'siglip_loss': '0.6594', 'epoch': '0.3112'} + 96%|██████████████████████████████▊ | 8651/9000 [7:36:25<15:45, 2.71s/it][Dataset] cur_step=8652 phase=D_mixed_covt +[Dataset] cur_step=8652 phase=D_mixed_covt[Dataset] cur_step=8652 phase=D_mixed_covt + +[Dataset] cur_step=8652 phase=D_mixed_covt 96%|██████████████████████████████▊ | 8652/9000 [7:36:25<15:45, 2.72s/it] +[Dataset] cur_step=8652 phase=D_mixed_covt +[Dataset] cur_step=8652 phase=D_mixed_covt +[Dataset] cur_step=8652 phase=D_mixed_covt +[Dataset] cur_step=8652 phase=D_mixed_covt + {'loss': '3.136', 'grad_norm': '2.209', 'learning_rate': '2.041e-07', 'epoch': '0.3113'} + 96%|██████████████████████████████▊ | 8652/9000 [7:36:25<15:45, 2.72s/it] {'lm_loss': '0.764', 'visual_loss': '2.765', 'seg_loss': '0.8536', 'dino_loss': '0.9225', 'depth_loss': '0.1739', 'vggt_mse_loss': '0.1727', 'vggt_cos_loss': '0.01255', 'pidinet_loss': '0.2933', 'siglip_loss': '0.5216', 'epoch': '0.3113'} + 96%|██████████████████████████████▊ | 8652/9000 [7:36:27<15:45, 2.72s/it][Dataset] cur_step=8653 phase=D_mixed_covt +[Dataset] cur_step=8653 phase=D_mixed_covt +[Dataset] cur_step=8653 phase=D_mixed_covt[Dataset] cur_step=8653 phase=D_mixed_covt + +[Dataset] cur_step=8653 phase=D_mixed_covt +[Dataset] cur_step=8653 phase=D_mixed_covt +[Dataset] cur_step=8653 phase=D_mixed_covt +[Dataset] cur_step=8653 phase=D_mixed_covt + 96%|██████████████████████████████▊ | 8653/9000 [7:36:28<15:17, 2.64s/it] {'loss': '3.348', 'grad_norm': '2.541', 'learning_rate': '2.029e-07', 'epoch': '0.3113'} + 96%|██████████████████████████████▊ | 8653/9000 [7:36:28<15:17, 2.64s/it] {'lm_loss': '0.5619', 'visual_loss': '1.964', 'seg_loss': '0.8162', 'dino_loss': '0', 'depth_loss': '0.2024', 'vggt_mse_loss': '0.201', 'vggt_cos_loss': '0.01357', 'pidinet_loss': '0.1642', 'siglip_loss': '0.7817', 'epoch': '0.3113'} + 96%|██████████████████████████████▊ | 8653/9000 [7:36:31<15:17, 2.64s/it][Dataset] cur_step=8654 phase=D_mixed_covt[Dataset] cur_step=8654 phase=D_mixed_covt + +[Dataset] cur_step=8654 phase=D_mixed_covt +[Dataset] cur_step=8654 phase=D_mixed_covt[Dataset] cur_step=8654 phase=D_mixed_covt[Dataset] cur_step=8654 phase=D_mixed_covt + + +[Dataset] cur_step=8654 phase=D_mixed_covt 96%|██████████████████████████████▊ | 8654/9000 [7:36:31<16:35, 2.88s/it] +[Dataset] cur_step=8654 phase=D_mixed_covt + {'loss': '2.368', 'grad_norm': '2.924', 'learning_rate': '2.018e-07', 'epoch': '0.3113'} + 96%|██████████████████████████████▊ | 8654/9000 [7:36:31<16:35, 2.88s/it] {'lm_loss': '0.4461', 'visual_loss': '2.289', 'seg_loss': '0.6444', 'dino_loss': '0.8811', 'depth_loss': '0.2038', 'vggt_mse_loss': '0.2024', 'vggt_cos_loss': '0.01445', 'pidinet_loss': '0.1741', 'siglip_loss': '0.3859', 'epoch': '0.3113'} + 96%|██████████████████████████████▊ | 8654/9000 [7:36:34<16:35, 2.88s/it][Dataset] cur_step=8655 phase=D_mixed_covt +[Dataset] cur_step=8655 phase=D_mixed_covt +[Dataset] cur_step=8655 phase=D_mixed_covt[Dataset] cur_step=8655 phase=D_mixed_covt + +[Dataset] cur_step=8655 phase=D_mixed_covt + 96%|██████████████████████████████▊ | 8655/9000 [7:36:35<17:20, 3.02s/it][Dataset] cur_step=8655 phase=D_mixed_covt +[Dataset] cur_step=8655 phase=D_mixed_covt +[Dataset] cur_step=8655 phase=D_mixed_covt + {'loss': '3.241', 'grad_norm': '2.474', 'learning_rate': '2.006e-07', 'epoch': '0.3114'} + 96%|██████████████████████████████▊ | 8655/9000 [7:36:35<17:20, 3.02s/it] {'lm_loss': '0.0795', 'visual_loss': '2.976', 'seg_loss': '0.9217', 'dino_loss': '0.9286', 'depth_loss': '0.4008', 'vggt_mse_loss': '0.3973', 'vggt_cos_loss': '0.0349', 'pidinet_loss': '0.2779', 'siglip_loss': '0.4473', 'epoch': '0.3114'} + 96%|██████████████████████████████▊ | 8655/9000 [7:36:36<17:20, 3.02s/it][Dataset] cur_step=8656 phase=D_mixed_covt +[Dataset] cur_step=8656 phase=D_mixed_covt +[Dataset] cur_step=8656 phase=D_mixed_covt +[Dataset] cur_step=8656 phase=D_mixed_covt +[Dataset] cur_step=8656 phase=D_mixed_covt +[Dataset] cur_step=8656 phase=D_mixed_covt +[Dataset] cur_step=8656 phase=D_mixed_covt +[Dataset] cur_step=8656 phase=D_mixed_covt 96%|██████████████████████████████▊ | 8656/9000 [7:36:37<16:18, 2.84s/it] + {'loss': '3.037', 'grad_norm': '3.238', 'learning_rate': '1.994e-07', 'epoch': '0.3114'} + 96%|██████████████████████████████▊ | 8656/9000 [7:36:37<16:18, 2.84s/it] {'lm_loss': '0.7757', 'visual_loss': '2.464', 'seg_loss': '0.6152', 'dino_loss': '0.9243', 'depth_loss': '0.2123', 'vggt_mse_loss': '0.2106', 'vggt_cos_loss': '0.01692', 'pidinet_loss': '0.1817', 'siglip_loss': '0.531', 'epoch': '0.3114'} + 96%|██████████████████████████████▊ | 8656/9000 [7:36:39<16:18, 2.84s/it][Dataset] cur_step=8657 phase=D_mixed_covt +[Dataset] cur_step=8657 phase=D_mixed_covt[Dataset] cur_step=8657 phase=D_mixed_covt + +[Dataset] cur_step=8657 phase=D_mixed_covt + 96%|██████████████████████████████▊ | 8657/9000 [7:36:41<18:50, 3.30s/it][Dataset] cur_step=8657 phase=D_mixed_covt +[Dataset] cur_step=8657 phase=D_mixed_covt +[Dataset] cur_step=8657 phase=D_mixed_covt +[Dataset] cur_step=8657 phase=D_mixed_covt + {'loss': '3.071', 'grad_norm': '4.229', 'learning_rate': '1.983e-07', 'epoch': '0.3114'} + 96%|██████████████████████████████▊ | 8657/9000 [7:36:41<18:50, 3.30s/it] {'lm_loss': '0.8339', 'visual_loss': '2.479', 'seg_loss': '0.659', 'dino_loss': '0.9321', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.1899', 'siglip_loss': '0.6983', 'epoch': '0.3114'} + 96%|██████████████████████████████▊ | 8657/9000 [7:36:43<18:50, 3.30s/it][Dataset] cur_step=8658 phase=D_mixed_covt[Dataset] cur_step=8658 phase=D_mixed_covt +[Dataset] cur_step=8658 phase=D_mixed_covt + +[Dataset] cur_step=8658 phase=D_mixed_covt +[Dataset] cur_step=8658 phase=D_mixed_covt +[Dataset] cur_step=8658 phase=D_mixed_covt +[Dataset] cur_step=8658 phase=D_mixed_covt + 96%|██████████████████████████████▊ | 8658/9000 [7:36:44<17:18, 3.04s/it][Dataset] cur_step=8658 phase=D_mixed_covt + {'loss': '3.263', 'grad_norm': '4.342', 'learning_rate': '1.971e-07', 'epoch': '0.3115'} + 96%|██████████████████████████████▊ | 8658/9000 [7:36:44<17:18, 3.04s/it] {'lm_loss': '0.4297', 'visual_loss': '3.156', 'seg_loss': '0.8131', 'dino_loss': '0.9142', 'depth_loss': '0.3563', 'vggt_mse_loss': '0.3535', 'vggt_cos_loss': '0.0277', 'pidinet_loss': '0.2329', 'siglip_loss': '0.8398', 'epoch': '0.3115'} + 96%|██████████████████████████████▊ | 8658/9000 [7:36:47<17:18, 3.04s/it][Dataset] cur_step=8659 phase=D_mixed_covt +[Dataset] cur_step=8659 phase=D_mixed_covt +[Dataset] cur_step=8659 phase=D_mixed_covt +[Dataset] cur_step=8659 phase=D_mixed_covt +[Dataset] cur_step=8659 phase=D_mixed_covt +[Dataset] cur_step=8659 phase=D_mixed_covt + 96%|██████████████████████████████▊ | 8659/9000 [7:36:47<17:41, 3.11s/it][Dataset] cur_step=8659 phase=D_mixed_covt[Dataset] cur_step=8659 phase=D_mixed_covt + + {'loss': '3.237', 'grad_norm': '2.062', 'learning_rate': '1.96e-07', 'epoch': '0.3115'} + 96%|██████████████████████████████▊ | 8659/9000 [7:36:47<17:41, 3.11s/it] {'lm_loss': '0.4032', 'visual_loss': '2.267', 'seg_loss': '0.3066', 'dino_loss': '0.9321', 'depth_loss': '0.2031', 'vggt_mse_loss': '0.2019', 'vggt_cos_loss': '0.01226', 'pidinet_loss': '0.263', 'siglip_loss': '0.5621', 'epoch': '0.3115'} + 96%|██████████████████████████████▊ | 8659/9000 [7:36:49<17:41, 3.11s/it][Dataset] cur_step=8660 phase=D_mixed_covt +[Dataset] cur_step=8660 phase=D_mixed_covt +[Dataset] cur_step=8660 phase=D_mixed_covt +[Dataset] cur_step=8660 phase=D_mixed_covt +[Dataset] cur_step=8660 phase=D_mixed_covt +[Dataset] cur_step=8660 phase=D_mixed_covt +[Dataset] cur_step=8660 phase=D_mixed_covt 96%|██████████████████████████████▊ | 8660/9000 [7:36:50<16:37, 2.94s/it] +[Dataset] cur_step=8660 phase=D_mixed_covt + {'loss': '3.077', 'grad_norm': '2.537', 'learning_rate': '1.948e-07', 'epoch': '0.3115'} + 96%|██████████████████████████████▊ | 8660/9000 [7:36:50<16:37, 2.94s/it] {'lm_loss': '0.3828', 'visual_loss': '1.772', 'seg_loss': '0.8183', 'dino_loss': '0', 'depth_loss': '0.2168', 'vggt_mse_loss': '0.2153', 'vggt_cos_loss': '0.01485', 'pidinet_loss': '0.26', 'siglip_loss': '0.4767', 'epoch': '0.3115'} + 96%|██████████████████████████████▊ | 8660/9000 [7:36:52<16:37, 2.94s/it][Dataset] cur_step=8661 phase=D_mixed_covt[Dataset] cur_step=8661 phase=D_mixed_covt + +[Dataset] cur_step=8661 phase=D_mixed_covt +[Dataset] cur_step=8661 phase=D_mixed_covt +[Dataset] cur_step=8661 phase=D_mixed_covt[Dataset] cur_step=8661 phase=D_mixed_covt + +[Dataset] cur_step=8661 phase=D_mixed_covt + 96%|██████████████████████████████▊ | 8661/9000 [7:36:52<15:44, 2.79s/it][Dataset] cur_step=8661 phase=D_mixed_covt + {'loss': '2.484', 'grad_norm': '3.023', 'learning_rate': '1.937e-07', 'epoch': '0.3116'} + 96%|██████████████████████████████▊ | 8661/9000 [7:36:52<15:44, 2.79s/it] {'lm_loss': '0.5252', 'visual_loss': '3.417', 'seg_loss': '0.8646', 'dino_loss': '0.9071', 'depth_loss': '0.751', 'vggt_mse_loss': '0.7474', 'vggt_cos_loss': '0.0368', 'pidinet_loss': '0.2998', 'siglip_loss': '0.594', 'epoch': '0.3116'} + 96%|██████████████████████████████▊ | 8661/9000 [7:36:55<15:44, 2.79s/it][Dataset] cur_step=8662 phase=D_mixed_covt +[Dataset] cur_step=8662 phase=D_mixed_covt +[Dataset] cur_step=8662 phase=D_mixed_covt +[Dataset] cur_step=8662 phase=D_mixed_covt +[Dataset] cur_step=8662 phase=D_mixed_covt +[Dataset] cur_step=8662 phase=D_mixed_covt +[Dataset] cur_step=8662 phase=D_mixed_covt + 96%|██████████████████████████████▊ | 8662/9000 [7:36:55<16:18, 2.90s/it][Dataset] cur_step=8662 phase=D_mixed_covt + {'loss': '3.437', 'grad_norm': '9.075', 'learning_rate': '1.926e-07', 'epoch': '0.3116'} + 96%|██████████████████████████████▊ | 8662/9000 [7:36:55<16:18, 2.90s/it] {'lm_loss': '0.7565', 'visual_loss': '1.64', 'seg_loss': '0.7737', 'dino_loss': '0', 'depth_loss': '0.1969', 'vggt_mse_loss': '0.1957', 'vggt_cos_loss': '0.0121', 'pidinet_loss': '0.2768', 'siglip_loss': '0.3927', 'epoch': '0.3116'} + 96%|██████████████████████████████▊ | 8662/9000 [7:36:57<16:18, 2.90s/it][Dataset] cur_step=8663 phase=D_mixed_covt +[Dataset] cur_step=8663 phase=D_mixed_covt +[Dataset] cur_step=8663 phase=D_mixed_covt[Dataset] cur_step=8663 phase=D_mixed_covt + +[Dataset] cur_step=8663 phase=D_mixed_covt + 96%|██████████████████████████████▊ | 8663/9000 [7:36:58<16:16, 2.90s/it][Dataset] cur_step=8663 phase=D_mixed_covt +[Dataset] cur_step=8663 phase=D_mixed_covt +[Dataset] cur_step=8663 phase=D_mixed_covt + {'loss': '2.139', 'grad_norm': '6.687', 'learning_rate': '1.914e-07', 'epoch': '0.3117'} + 96%|██████████████████████████████▊ | 8663/9000 [7:36:58<16:16, 2.90s/it] {'lm_loss': '0.08532', 'visual_loss': '2.619', 'seg_loss': '0.6614', 'dino_loss': '0.8815', 'depth_loss': '0.1793', 'vggt_mse_loss': '0.1779', 'vggt_cos_loss': '0.01402', 'pidinet_loss': '0.2068', 'siglip_loss': '0.6896', 'epoch': '0.3117'} + 96%|██████████████████████████████▊ | 8663/9000 [7:37:01<16:16, 2.90s/it][Dataset] cur_step=8664 phase=D_mixed_covt +[Dataset] cur_step=8664 phase=D_mixed_covt[Dataset] cur_step=8664 phase=D_mixed_covt[Dataset] cur_step=8664 phase=D_mixed_covt + + +[Dataset] cur_step=8664 phase=D_mixed_covt +[Dataset] cur_step=8664 phase=D_mixed_covt +[Dataset] cur_step=8664 phase=D_mixed_covt +[Dataset] cur_step=8664 phase=D_mixed_covt + 96%|██████████████████████████████▊ | 8664/9000 [7:37:02<18:01, 3.22s/it] {'loss': '3.012', 'grad_norm': '2.835', 'learning_rate': '1.903e-07', 'epoch': '0.3117'} + 96%|██████████████████████████████▊ | 8664/9000 [7:37:02<18:01, 3.22s/it] {'lm_loss': '0.7245', 'visual_loss': '2.092', 'seg_loss': '0.497', 'dino_loss': '0.9284', 'depth_loss': '0.1493', 'vggt_mse_loss': '0.1483', 'vggt_cos_loss': '0.01022', 'pidinet_loss': '0.1596', 'siglip_loss': '0.3578', 'epoch': '0.3117'} + 96%|██████████████████████████████▊ | 8664/9000 [7:37:04<18:01, 3.22s/it][Dataset] cur_step=8665 phase=D_mixed_covt +[Dataset] cur_step=8665 phase=D_mixed_covt +[Dataset] cur_step=8665 phase=D_mixed_covt +[Dataset] cur_step=8665 phase=D_mixed_covt[Dataset] cur_step=8665 phase=D_mixed_covt + +[Dataset] cur_step=8665 phase=D_mixed_covt +[Dataset] cur_step=8665 phase=D_mixed_covt +[Dataset] cur_step=8665 phase=D_mixed_covt + 96%|██████████████████████████████▊ | 8665/9000 [7:37:07<20:48, 3.73s/it] {'loss': '3.257', 'grad_norm': '2.306', 'learning_rate': '1.892e-07', 'epoch': '0.3117'} + 96%|██████████████████████████████▊ | 8665/9000 [7:37:07<20:48, 3.73s/it] {'lm_loss': '0.721', 'visual_loss': '2.479', 'seg_loss': '0.7154', 'dino_loss': '0.9041', 'depth_loss': '0.3022', 'vggt_mse_loss': '0.3003', 'vggt_cos_loss': '0.01802', 'pidinet_loss': '0.185', 'siglip_loss': '0.372', 'epoch': '0.3117'} + 96%|██████████████████████████████▊ | 8665/9000 [7:37:08<20:48, 3.73s/it][Dataset] cur_step=8666 phase=D_mixed_covt +[Dataset] cur_step=8666 phase=D_mixed_covt[Dataset] cur_step=8666 phase=D_mixed_covt +[Dataset] cur_step=8666 phase=D_mixed_covt[Dataset] cur_step=8666 phase=D_mixed_covt + + +[Dataset] cur_step=8666 phase=D_mixed_covt +[Dataset] cur_step=8666 phase=D_mixed_covt +[Dataset] cur_step=8666 phase=D_mixed_covt + 96%|██████████████████████████████▊ | 8666/9000 [7:37:09<17:31, 3.15s/it] {'loss': '3.581', 'grad_norm': '3.078', 'learning_rate': '1.88e-07', 'epoch': '0.3118'} + 96%|██████████████████████████████▊ | 8666/9000 [7:37:09<17:31, 3.15s/it] {'lm_loss': '0.8415', 'visual_loss': '2.66', 'seg_loss': '0.6224', 'dino_loss': '0.8835', 'depth_loss': '0.1647', 'vggt_mse_loss': '0.1635', 'vggt_cos_loss': '0.01237', 'pidinet_loss': '0.3051', 'siglip_loss': '0.6839', 'epoch': '0.3118'} + 96%|██████████████████████████████▊ | 8666/9000 [7:37:10<17:31, 3.15s/it][Dataset] cur_step=8667 phase=D_mixed_covt +[Dataset] cur_step=8667 phase=D_mixed_covt +[Dataset] cur_step=8667 phase=D_mixed_covt +[Dataset] cur_step=8667 phase=D_mixed_covt[Dataset] cur_step=8667 phase=D_mixed_covt + +[Dataset] cur_step=8667 phase=D_mixed_covt +[Dataset] cur_step=8667 phase=D_mixed_covt +[Dataset] cur_step=8667 phase=D_mixed_covt + 96%|██████████████████████████████▊ | 8667/9000 [7:37:11<15:24, 2.77s/it] {'loss': '3.293', 'grad_norm': '3.863', 'learning_rate': '1.869e-07', 'epoch': '0.3118'} + 96%|██████████████████████████████▊ | 8667/9000 [7:37:11<15:24, 2.77s/it] {'lm_loss': '0.8998', 'visual_loss': '2.963', 'seg_loss': '0.6492', 'dino_loss': '0.8928', 'depth_loss': '0.4444', 'vggt_mse_loss': '0.4403', 'vggt_cos_loss': '0.04047', 'pidinet_loss': '0.239', 'siglip_loss': '0.7379', 'epoch': '0.3118'} + 96%|██████████████████████████████▊ | 8667/9000 [7:37:13<15:24, 2.77s/it][Dataset] cur_step=8668 phase=D_mixed_covt +[Dataset] cur_step=8668 phase=D_mixed_covt +[Dataset] cur_step=8668 phase=D_mixed_covt +[Dataset] cur_step=8668 phase=D_mixed_covt +[Dataset] cur_step=8668 phase=D_mixed_covt +[Dataset] cur_step=8668 phase=D_mixed_covt +[Dataset] cur_step=8668 phase=D_mixed_covt +[Dataset] cur_step=8668 phase=D_mixed_covt + 96%|██████████████████████████████▊ | 8668/9000 [7:37:13<14:55, 2.70s/it] {'loss': '3.347', 'grad_norm': '3.855', 'learning_rate': '1.858e-07', 'epoch': '0.3118'} + 96%|██████████████████████████████▊ | 8668/9000 [7:37:13<14:55, 2.70s/it] {'lm_loss': '0.9325', 'visual_loss': '2.713', 'seg_loss': '0.6569', 'dino_loss': '0.9139', 'depth_loss': '0.2327', 'vggt_mse_loss': '0.2307', 'vggt_cos_loss': '0.02043', 'pidinet_loss': '0.2606', 'siglip_loss': '0.649', 'epoch': '0.3118'} + 96%|██████████████████████████████▊ | 8668/9000 [7:37:16<14:55, 2.70s/it][Dataset] cur_step=8669 phase=D_mixed_covt[Dataset] cur_step=8669 phase=D_mixed_covt + +[Dataset] cur_step=8669 phase=D_mixed_covt +[Dataset] cur_step=8669 phase=D_mixed_covt[Dataset] cur_step=8669 phase=D_mixed_covt + + 96%|██████████████████████████████▊ | 8669/9000 [7:37:17<16:43, 3.03s/it][Dataset] cur_step=8669 phase=D_mixed_covt +[Dataset] cur_step=8669 phase=D_mixed_covt +[Dataset] cur_step=8669 phase=D_mixed_covt + {'loss': '3.427', 'grad_norm': '9.079', 'learning_rate': '1.847e-07', 'epoch': '0.3119'} + 96%|██████████████████████████████▊ | 8669/9000 [7:37:17<16:43, 3.03s/it] {'lm_loss': '0.8702', 'visual_loss': '2.66', 'seg_loss': '0.5383', 'dino_loss': '0.8975', 'depth_loss': '0.2531', 'vggt_mse_loss': '0.2515', 'vggt_cos_loss': '0.01653', 'pidinet_loss': '0.2966', 'siglip_loss': '0.6743', 'epoch': '0.3119'} + 96%|██████████████████████████████▊ | 8669/9000 [7:37:19<16:43, 3.03s/it][Dataset] cur_step=8670 phase=D_mixed_covt +[Dataset] cur_step=8670 phase=D_mixed_covt +[Dataset] cur_step=8670 phase=D_mixed_covt[Dataset] cur_step=8670 phase=D_mixed_covt + +[Dataset] cur_step=8670 phase=D_mixed_covt +[Dataset] cur_step=8670 phase=D_mixed_covt 96%|██████████████████████████████▊ | 8670/9000 [7:37:20<16:22, 2.98s/it] +[Dataset] cur_step=8670 phase=D_mixed_covt +[Dataset] cur_step=8670 phase=D_mixed_covt + {'loss': '3.158', 'grad_norm': '2.766', 'learning_rate': '1.836e-07', 'epoch': '0.3119'} + 96%|██████████████████████████████▊ | 8670/9000 [7:37:20<16:22, 2.98s/it] {'lm_loss': '0.4427', 'visual_loss': '2.665', 'seg_loss': '0.7082', 'dino_loss': '0.8852', 'depth_loss': '0.303', 'vggt_mse_loss': '0.3008', 'vggt_cos_loss': '0.02185', 'pidinet_loss': '0.2424', 'siglip_loss': '0.5265', 'epoch': '0.3119'} + 96%|██████████████████████████████▊ | 8670/9000 [7:37:22<16:22, 2.98s/it][Dataset] cur_step=8671 phase=D_mixed_covt +[Dataset] cur_step=8671 phase=D_mixed_covt +[Dataset] cur_step=8671 phase=D_mixed_covt +[Dataset] cur_step=8671 phase=D_mixed_covt +[Dataset] cur_step=8671 phase=D_mixed_covt[Dataset] cur_step=8671 phase=D_mixed_covt + +[Dataset] cur_step=8671 phase=D_mixed_covt[Dataset] cur_step=8671 phase=D_mixed_covt + + 96%|██████████████████████████████▊ | 8671/9000 [7:37:23<15:42, 2.86s/it] {'loss': '3.305', 'grad_norm': '2.572', 'learning_rate': '1.824e-07', 'epoch': '0.3119'} + 96%|██████████████████████████████▊ | 8671/9000 [7:37:23<15:42, 2.86s/it] {'lm_loss': '0.09795', 'visual_loss': '2.808', 'seg_loss': '0.7883', 'dino_loss': '0.9372', 'depth_loss': '0.2083', 'vggt_mse_loss': '0.2069', 'vggt_cos_loss': '0.01418', 'pidinet_loss': '0.2475', 'siglip_loss': '0.627', 'epoch': '0.3119'} + 96%|██████████████████████████████▊ | 8671/9000 [7:37:25<15:42, 2.86s/it][Dataset] cur_step=8672 phase=D_mixed_covt +[Dataset] cur_step=8672 phase=D_mixed_covt +[Dataset] cur_step=8672 phase=D_mixed_covt +[Dataset] cur_step=8672 phase=D_mixed_covt +[Dataset] cur_step=8672 phase=D_mixed_covt[Dataset] cur_step=8672 phase=D_mixed_covt[Dataset] cur_step=8672 phase=D_mixed_covt + + +[Dataset] cur_step=8672 phase=D_mixed_covt + 96%|██████████████████████████████▊ | 8672/9000 [7:37:26<16:09, 2.95s/it] {'loss': '3.098', 'grad_norm': '2.279', 'learning_rate': '1.813e-07', 'epoch': '0.312'} + 96%|██████████████████████████████▊ | 8672/9000 [7:37:26<16:09, 2.95s/it] {'lm_loss': '0.8866', 'visual_loss': '2.56', 'seg_loss': '0.6655', 'dino_loss': '0.8585', 'depth_loss': '0.2285', 'vggt_mse_loss': '0.2268', 'vggt_cos_loss': '0.01659', 'pidinet_loss': '0.2179', 'siglip_loss': '0.5901', 'epoch': '0.312'} + 96%|██████████████████████████████▊ | 8672/9000 [7:37:28<16:09, 2.95s/it][Dataset] cur_step=8673 phase=D_mixed_covt +[Dataset] cur_step=8673 phase=D_mixed_covt +[Dataset] cur_step=8673 phase=D_mixed_covt +[Dataset] cur_step=8673 phase=D_mixed_covt +[Dataset] cur_step=8673 phase=D_mixed_covt +[Dataset] cur_step=8673 phase=D_mixed_covt + 96%|██████████████████████████████▊ | 8673/9000 [7:37:29<16:56, 3.11s/it][Dataset] cur_step=8673 phase=D_mixed_covt[Dataset] cur_step=8673 phase=D_mixed_covt + + {'loss': '3.433', 'grad_norm': '5.571', 'learning_rate': '1.802e-07', 'epoch': '0.312'} + 96%|██████████████████████████████▊ | 8673/9000 [7:37:29<16:56, 3.11s/it] {'lm_loss': '0.5612', 'visual_loss': '1.54', 'seg_loss': '0', 'dino_loss': '0.9016', 'depth_loss': '0.3339', 'vggt_mse_loss': '0.3322', 'vggt_cos_loss': '0.01643', 'pidinet_loss': '0.1852', 'siglip_loss': '0.119', 'epoch': '0.312'} + 96%|██████████████████████████████▊ | 8673/9000 [7:37:30<16:56, 3.11s/it][Dataset] cur_step=8674 phase=D_mixed_covt +[Dataset] cur_step=8674 phase=D_mixed_covt[Dataset] cur_step=8674 phase=D_mixed_covt + +[Dataset] cur_step=8674 phase=D_mixed_covt +[Dataset] cur_step=8674 phase=D_mixed_covt[Dataset] cur_step=8674 phase=D_mixed_covt 96%|██████████████████████████████▊ | 8674/9000 [7:37:30<13:35, 2.50s/it] + +[Dataset] cur_step=8674 phase=D_mixed_covt +[Dataset] cur_step=8674 phase=D_mixed_covt + {'loss': '2.391', 'grad_norm': '4.11', 'learning_rate': '1.791e-07', 'epoch': '0.312'} + 96%|██████████████████████████████▊ | 8674/9000 [7:37:30<13:35, 2.50s/it] {'lm_loss': '1.241', 'visual_loss': '2.776', 'seg_loss': '0.888', 'dino_loss': '0.9348', 'depth_loss': '0.1672', 'vggt_mse_loss': '0.166', 'vggt_cos_loss': '0.0119', 'pidinet_loss': '0.2074', 'siglip_loss': '0.5782', 'epoch': '0.312'} + 96%|██████████████████████████████▊ | 8674/9000 [7:37:32<13:35, 2.50s/it][Dataset] cur_step=8675 phase=D_mixed_covt +[Dataset] cur_step=8675 phase=D_mixed_covt[Dataset] cur_step=8675 phase=D_mixed_covt + +[Dataset] cur_step=8675 phase=D_mixed_covt[Dataset] cur_step=8675 phase=D_mixed_covt + +[Dataset] cur_step=8675 phase=D_mixed_covt +[Dataset] cur_step=8675 phase=D_mixed_covt +[Dataset] cur_step=8675 phase=D_mixed_covt + 96%|██████████████████████████████▊ | 8675/9000 [7:37:33<14:05, 2.60s/it] {'loss': '3.506', 'grad_norm': '10.35', 'learning_rate': '1.78e-07', 'epoch': '0.3121'} + 96%|██████████████████████████████▊ | 8675/9000 [7:37:33<14:05, 2.60s/it] {'lm_loss': '0.7043', 'visual_loss': '2.323', 'seg_loss': '0.7092', 'dino_loss': '0.8607', 'depth_loss': '0.2919', 'vggt_mse_loss': '0.2905', 'vggt_cos_loss': '0.01434', 'pidinet_loss': '0.1298', 'siglip_loss': '0.3309', 'epoch': '0.3121'} + 96%|██████████████████████████████▊ | 8675/9000 [7:37:35<14:05, 2.60s/it][Dataset] cur_step=8676 phase=D_mixed_covt +[Dataset] cur_step=8676 phase=D_mixed_covt +[Dataset] cur_step=8676 phase=D_mixed_covt +[Dataset] cur_step=8676 phase=D_mixed_covt +[Dataset] cur_step=8676 phase=D_mixed_covt[Dataset] cur_step=8676 phase=D_mixed_covt[Dataset] cur_step=8676 phase=D_mixed_covt + + +[Dataset] cur_step=8676 phase=D_mixed_covt + 96%|██████████████████████████████▊ | 8676/9000 [7:37:36<14:12, 2.63s/it] {'loss': '3.233', 'grad_norm': '6.464', 'learning_rate': '1.77e-07', 'epoch': '0.3121'} + 96%|██████████████████████████████▊ | 8676/9000 [7:37:36<14:12, 2.63s/it] {'lm_loss': '0.9846', 'visual_loss': '2.362', 'seg_loss': '0.57', 'dino_loss': '0.9195', 'depth_loss': '0.2381', 'vggt_mse_loss': '0.2361', 'vggt_cos_loss': '0.01975', 'pidinet_loss': '0.2515', 'siglip_loss': '0.3827', 'epoch': '0.3121'} + 96%|██████████████████████████████▊ | 8676/9000 [7:37:38<14:12, 2.63s/it][Dataset] cur_step=8677 phase=D_mixed_covt +[Dataset] cur_step=8677 phase=D_mixed_covt[Dataset] cur_step=8677 phase=D_mixed_covt + +[Dataset] cur_step=8677 phase=D_mixed_covt[Dataset] cur_step=8677 phase=D_mixed_covt +[Dataset] cur_step=8677 phase=D_mixed_covt + + 96%|██████████████████████████████▊ | 8677/9000 [7:37:39<14:21, 2.67s/it][Dataset] cur_step=8677 phase=D_mixed_covt +[Dataset] cur_step=8677 phase=D_mixed_covt + {'loss': '3.34', 'grad_norm': '2.879', 'learning_rate': '1.759e-07', 'epoch': '0.3122'} + 96%|██████████████████████████████▊ | 8677/9000 [7:37:39<14:21, 2.67s/it] {'lm_loss': '0.7048', 'visual_loss': '3.076', 'seg_loss': '0.8111', 'dino_loss': '0.9078', 'depth_loss': '0.2202', 'vggt_mse_loss': '0.2192', 'vggt_cos_loss': '0.01085', 'pidinet_loss': '0.3598', 'siglip_loss': '0.7774', 'epoch': '0.3122'} + 96%|██████████████████████████████▊ | 8677/9000 [7:37:41<14:21, 2.67s/it][Dataset] cur_step=8678 phase=D_mixed_covt[Dataset] cur_step=8678 phase=D_mixed_covt + +[Dataset] cur_step=8678 phase=D_mixed_covt +[Dataset] cur_step=8678 phase=D_mixed_covt +[Dataset] cur_step=8678 phase=D_mixed_covt[Dataset] cur_step=8678 phase=D_mixed_covt + +[Dataset] cur_step=8678 phase=D_mixed_covt +[Dataset] cur_step=8678 phase=D_mixed_covt + 96%|██████████████████████████████▊ | 8678/9000 [7:37:42<14:43, 2.74s/it] {'loss': '3.541', 'grad_norm': '3.028', 'learning_rate': '1.748e-07', 'epoch': '0.3122'} + 96%|██████████████████████████████▊ | 8678/9000 [7:37:42<14:43, 2.74s/it] {'lm_loss': '0.5012', 'visual_loss': '2.205', 'seg_loss': '0.6841', 'dino_loss': '0.8705', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2267', 'siglip_loss': '0.4235', 'epoch': '0.3122'} + 96%|██████████████████████████████▊ | 8678/9000 [7:37:43<14:43, 2.74s/it][Dataset] cur_step=8679 phase=D_mixed_covt +[Dataset] cur_step=8679 phase=D_mixed_covt +[Dataset] cur_step=8679 phase=D_mixed_covt +[Dataset] cur_step=8679 phase=D_mixed_covt +[Dataset] cur_step=8679 phase=D_mixed_covt +[Dataset] cur_step=8679 phase=D_mixed_covt +[Dataset] cur_step=8679 phase=D_mixed_covt +[Dataset] cur_step=8679 phase=D_mixed_covt + 96%|██████████████████████████████▊ | 8679/9000 [7:37:44<13:38, 2.55s/it] {'loss': '3.049', 'grad_norm': '3.152', 'learning_rate': '1.737e-07', 'epoch': '0.3122'} + 96%|██████████████████████████████▊ | 8679/9000 [7:37:44<13:38, 2.55s/it] {'lm_loss': '0.8064', 'visual_loss': '2.817', 'seg_loss': '0.9851', 'dino_loss': '0.8995', 'depth_loss': '0.2243', 'vggt_mse_loss': '0.2224', 'vggt_cos_loss': '0.01911', 'pidinet_loss': '0.1972', 'siglip_loss': '0.5107', 'epoch': '0.3122'} + 96%|██████████████████████████████▊ | 8679/9000 [7:37:45<13:38, 2.55s/it][Dataset] cur_step=8680 phase=D_mixed_covt +[Dataset] cur_step=8680 phase=D_mixed_covt +[Dataset] cur_step=8680 phase=D_mixed_covt +[Dataset] cur_step=8680 phase=D_mixed_covt[Dataset] cur_step=8680 phase=D_mixed_covt + +[Dataset] cur_step=8680 phase=D_mixed_covt +[Dataset] cur_step=8680 phase=D_mixed_covt + 96%|██████████████████████████████▊ | 8680/9000 [7:37:45<12:24, 2.33s/it][Dataset] cur_step=8680 phase=D_mixed_covt + {'loss': '3.356', 'grad_norm': '4.844', 'learning_rate': '1.726e-07', 'epoch': '0.3123'} + 96%|██████████████████████████████▊ | 8680/9000 [7:37:45<12:24, 2.33s/it] {'lm_loss': '0.9658', 'visual_loss': '2.533', 'seg_loss': '0.6922', 'dino_loss': '0.957', 'depth_loss': '0.1845', 'vggt_mse_loss': '0.1832', 'vggt_cos_loss': '0.01285', 'pidinet_loss': '0.2035', 'siglip_loss': '0.4961', 'epoch': '0.3123'} + 96%|██████████████████████████████▊ | 8680/9000 [7:37:47<12:24, 2.33s/it][Dataset] cur_step=8681 phase=D_mixed_covt +[Dataset] cur_step=8681 phase=D_mixed_covt +[Dataset] cur_step=8681 phase=D_mixed_covt +[Dataset] cur_step=8681 phase=D_mixed_covt[Dataset] cur_step=8681 phase=D_mixed_covt + +[Dataset] cur_step=8681 phase=D_mixed_covt +[Dataset] cur_step=8681 phase=D_mixed_covt +[Dataset] cur_step=8681 phase=D_mixed_covt + 96%|██████████████████████████████▊ | 8681/9000 [7:37:47<11:40, 2.20s/it] {'loss': '3.167', 'grad_norm': '4.075', 'learning_rate': '1.715e-07', 'epoch': '0.3123'} + 96%|██████████████████████████████▊ | 8681/9000 [7:37:47<11:40, 2.20s/it] {'lm_loss': '0.07801', 'visual_loss': '2.958', 'seg_loss': '0.7353', 'dino_loss': '0.9461', 'depth_loss': '0.4616', 'vggt_mse_loss': '0.4572', 'vggt_cos_loss': '0.04305', 'pidinet_loss': '0.2131', 'siglip_loss': '0.6024', 'epoch': '0.3123'} + 96%|██████████████████████████████▊ | 8681/9000 [7:37:49<11:40, 2.20s/it][Dataset] cur_step=8682 phase=D_mixed_covt +[Dataset] cur_step=8682 phase=D_mixed_covt +[Dataset] cur_step=8682 phase=D_mixed_covt +[Dataset] cur_step=8682 phase=D_mixed_covt +[Dataset] cur_step=8682 phase=D_mixed_covt +[Dataset] cur_step=8682 phase=D_mixed_covt +[Dataset] cur_step=8682 phase=D_mixed_covt +[Dataset] cur_step=8682 phase=D_mixed_covt + 96%|██████████████████████████████▊ | 8682/9000 [7:37:50<12:13, 2.31s/it] {'loss': '3.255', 'grad_norm': '2.843', 'learning_rate': '1.705e-07', 'epoch': '0.3123'} + 96%|██████████████████████████████▊ | 8682/9000 [7:37:50<12:13, 2.31s/it] {'lm_loss': '0.7865', 'visual_loss': '2.895', 'seg_loss': '0.6421', 'dino_loss': '0.9256', 'depth_loss': '0.1902', 'vggt_mse_loss': '0.1886', 'vggt_cos_loss': '0.01643', 'pidinet_loss': '0.2799', 'siglip_loss': '0.8573', 'epoch': '0.3123'} + 96%|██████████████████████████████▊ | 8682/9000 [7:37:52<12:13, 2.31s/it][Dataset] cur_step=8683 phase=D_mixed_covt[Dataset] cur_step=8683 phase=D_mixed_covt + +[Dataset] cur_step=8683 phase=D_mixed_covt[Dataset] cur_step=8683 phase=D_mixed_covt[Dataset] cur_step=8683 phase=D_mixed_covt[Dataset] cur_step=8683 phase=D_mixed_covt + + + + 96%|██████████████████████████████▊ | 8683/9000 [7:37:52<12:38, 2.39s/it][Dataset] cur_step=8683 phase=D_mixed_covt +[Dataset] cur_step=8683 phase=D_mixed_covt + {'loss': '3.198', 'grad_norm': '9.936', 'learning_rate': '1.694e-07', 'epoch': '0.3124'} + 96%|██████████████████████████████▊ | 8683/9000 [7:37:52<12:38, 2.39s/it] {'lm_loss': '0.7971', 'visual_loss': '2.075', 'seg_loss': '0.7582', 'dino_loss': '0', 'depth_loss': '0.5566', 'vggt_mse_loss': '0.5527', 'vggt_cos_loss': '0.03861', 'pidinet_loss': '0.2123', 'siglip_loss': '0.5475', 'epoch': '0.3124'} + 96%|██████████████████████████████▊ | 8683/9000 [7:37:55<12:38, 2.39s/it][Dataset] cur_step=8684 phase=D_mixed_covt[Dataset] cur_step=8684 phase=D_mixed_covt +[Dataset] cur_step=8684 phase=D_mixed_covt + +[Dataset] cur_step=8684 phase=D_mixed_covt[Dataset] cur_step=8684 phase=D_mixed_covt + +[Dataset] cur_step=8684 phase=D_mixed_covt[Dataset] cur_step=8684 phase=D_mixed_covt + + 96%|██████████████████████████████▉ | 8684/9000 [7:37:56<14:06, 2.68s/it][Dataset] cur_step=8684 phase=D_mixed_covt + {'loss': '2.601', 'grad_norm': '3.582', 'learning_rate': '1.683e-07', 'epoch': '0.3124'} + 96%|██████████████████████████████▉ | 8684/9000 [7:37:56<14:06, 2.68s/it] {'lm_loss': '0.5719', 'visual_loss': '3.133', 'seg_loss': '0.6975', 'dino_loss': '0.8803', 'depth_loss': '0.1992', 'vggt_mse_loss': '0.1986', 'vggt_cos_loss': '0.005558', 'pidinet_loss': '0.3551', 'siglip_loss': '1.001', 'epoch': '0.3124'} + 96%|██████████████████████████████▉ | 8684/9000 [7:37:58<14:06, 2.68s/it][Dataset] cur_step=8685 phase=D_mixed_covt +[Dataset] cur_step=8685 phase=D_mixed_covt +[Dataset] cur_step=8685 phase=D_mixed_covt +[Dataset] cur_step=8685 phase=D_mixed_covt +[Dataset] cur_step=8685 phase=D_mixed_covt +[Dataset] cur_step=8685 phase=D_mixed_covt[Dataset] cur_step=8685 phase=D_mixed_covt[Dataset] cur_step=8685 phase=D_mixed_covt + + + 96%|██████████████████████████████▉ | 8685/9000 [7:38:01<18:01, 3.43s/it] {'loss': '3.261', 'grad_norm': '7.905', 'learning_rate': '1.673e-07', 'epoch': '0.3124'} + 96%|██████████████████████████████▉ | 8685/9000 [7:38:01<18:01, 3.43s/it] {'lm_loss': '1.007', 'visual_loss': '1.02', 'seg_loss': '0.551', 'dino_loss': '0', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0', 'siglip_loss': '0.4688', 'epoch': '0.3124'} + 96%|██████████████████████████████▉ | 8685/9000 [7:38:02<18:01, 3.43s/it][Dataset] cur_step=8686 phase=D_mixed_covt +[Dataset] cur_step=8686 phase=D_mixed_covt +[Dataset] cur_step=8686 phase=D_mixed_covt +[Dataset] cur_step=8686 phase=D_mixed_covt[Dataset] cur_step=8686 phase=D_mixed_covt + +[Dataset] cur_step=8686 phase=D_mixed_covt + 97%|██████████████████████████████▉ | 8686/9000 [7:38:05<18:45, 3.58s/it][Dataset] cur_step=8686 phase=D_mixed_covt[Dataset] cur_step=8686 phase=D_mixed_covt + + {'loss': '1.965', 'grad_norm': '6.039', 'learning_rate': '1.662e-07', 'epoch': '0.3125'} + 97%|██████████████████████████████▉ | 8686/9000 [7:38:05<18:45, 3.58s/it] {'lm_loss': '0.5218', 'visual_loss': '2.833', 'seg_loss': '0.7023', 'dino_loss': '0.9166', 'depth_loss': '0.3471', 'vggt_mse_loss': '0.3446', 'vggt_cos_loss': '0.02466', 'pidinet_loss': '0.2061', 'siglip_loss': '0.6605', 'epoch': '0.3125'} + 97%|██████████████████████████████▉ | 8686/9000 [7:38:06<18:45, 3.58s/it][Dataset] cur_step=8687 phase=D_mixed_covt +[Dataset] cur_step=8687 phase=D_mixed_covt[Dataset] cur_step=8687 phase=D_mixed_covt + +[Dataset] cur_step=8687 phase=D_mixed_covt +[Dataset] cur_step=8687 phase=D_mixed_covt +[Dataset] cur_step=8687 phase=D_mixed_covt + 97%|██████████████████████████████▉ | 8687/9000 [7:38:07<16:06, 3.09s/it][Dataset] cur_step=8687 phase=D_mixed_covt +[Dataset] cur_step=8687 phase=D_mixed_covt + {'loss': '3.387', 'grad_norm': '4.247', 'learning_rate': '1.652e-07', 'epoch': '0.3125'} + 97%|██████████████████████████████▉ | 8687/9000 [7:38:07<16:06, 3.09s/it] {'lm_loss': '0.7998', 'visual_loss': '2.757', 'seg_loss': '0.902', 'dino_loss': '0.9032', 'depth_loss': '0.2404', 'vggt_mse_loss': '0.2387', 'vggt_cos_loss': '0.01776', 'pidinet_loss': '0.226', 'siglip_loss': '0.4852', 'epoch': '0.3125'} + 97%|██████████████████████████████▉ | 8687/9000 [7:38:08<16:06, 3.09s/it][Dataset] cur_step=8688 phase=D_mixed_covt +[Dataset] cur_step=8688 phase=D_mixed_covt +[Dataset] cur_step=8688 phase=D_mixed_covt +[Dataset] cur_step=8688 phase=D_mixed_covt +[Dataset] cur_step=8688 phase=D_mixed_covt + 97%|██████████████████████████████▉ | 8688/9000 [7:38:09<14:10, 2.73s/it][Dataset] cur_step=8688 phase=D_mixed_covt +[Dataset] cur_step=8688 phase=D_mixed_covt +[Dataset] cur_step=8688 phase=D_mixed_covt + {'loss': '3.142', 'grad_norm': '2.779', 'learning_rate': '1.641e-07', 'epoch': '0.3126'} + 97%|██████████████████████████████▉ | 8688/9000 [7:38:09<14:10, 2.73s/it] {'lm_loss': '0.7018', 'visual_loss': '2.168', 'seg_loss': '0.5302', 'dino_loss': '0.8695', 'depth_loss': '0.205', 'vggt_mse_loss': '0.2044', 'vggt_cos_loss': '0.006148', 'pidinet_loss': '0.1908', 'siglip_loss': '0.3722', 'epoch': '0.3126'} + 97%|██████████████████████████████▉ | 8688/9000 [7:38:11<14:10, 2.73s/it][Dataset] cur_step=8689 phase=D_mixed_covt +[Dataset] cur_step=8689 phase=D_mixed_covt +[Dataset] cur_step=8689 phase=D_mixed_covt + 97%|██████████████████████████████▉ | 8689/9000 [7:38:12<14:20, 2.77s/it][Dataset] cur_step=8689 phase=D_mixed_covt +[Dataset] cur_step=8689 phase=D_mixed_covt +[Dataset] cur_step=8689 phase=D_mixed_covt +[Dataset] cur_step=8689 phase=D_mixed_covt +[Dataset] cur_step=8689 phase=D_mixed_covt + {'loss': '3.198', 'grad_norm': '3.841', 'learning_rate': '1.631e-07', 'epoch': '0.3126'} + 97%|██████████████████████████████▉ | 8689/9000 [7:38:12<14:20, 2.77s/it] {'lm_loss': '0.1089', 'visual_loss': '2.798', 'seg_loss': '0.9422', 'dino_loss': '0.9333', 'depth_loss': '0.305', 'vggt_mse_loss': '0.3026', 'vggt_cos_loss': '0.02394', 'pidinet_loss': '0.228', 'siglip_loss': '0.3899', 'epoch': '0.3126'} + 97%|██████████████████████████████▉ | 8689/9000 [7:38:14<14:20, 2.77s/it][Dataset] cur_step=8690 phase=D_mixed_covt +[Dataset] cur_step=8690 phase=D_mixed_covt +[Dataset] cur_step=8690 phase=D_mixed_covt +[Dataset] cur_step=8690 phase=D_mixed_covt +[Dataset] cur_step=8690 phase=D_mixed_covt 97%|██████████████████████████████▉ | 8690/9000 [7:38:15<14:50, 2.87s/it] +[Dataset] cur_step=8690 phase=D_mixed_covt +[Dataset] cur_step=8690 phase=D_mixed_covt +[Dataset] cur_step=8690 phase=D_mixed_covt + {'loss': '3.345', 'grad_norm': '2.488', 'learning_rate': '1.62e-07', 'epoch': '0.3126'} + 97%|██████████████████████████████▉ | 8690/9000 [7:38:15<14:50, 2.87s/it] {'lm_loss': '0.6632', 'visual_loss': '2.704', 'seg_loss': '0.8944', 'dino_loss': '0.9273', 'depth_loss': '0.2562', 'vggt_mse_loss': '0.2544', 'vggt_cos_loss': '0.01809', 'pidinet_loss': '0.2359', 'siglip_loss': '0.3903', 'epoch': '0.3126'} + 97%|██████████████████████████████▉ | 8690/9000 [7:38:17<14:50, 2.87s/it][Dataset] cur_step=8691 phase=D_mixed_covt +[Dataset] cur_step=8691 phase=D_mixed_covt +[Dataset] cur_step=8691 phase=D_mixed_covt +[Dataset] cur_step=8691 phase=D_mixed_covt[Dataset] cur_step=8691 phase=D_mixed_covt + + 97%|██████████████████████████████▉ | 8691/9000 [7:38:18<15:35, 3.03s/it][Dataset] cur_step=8691 phase=D_mixed_covt +[Dataset] cur_step=8691 phase=D_mixed_covt +[Dataset] cur_step=8691 phase=D_mixed_covt + {'loss': '3.388', 'grad_norm': '4.588', 'learning_rate': '1.61e-07', 'epoch': '0.3127'} + 97%|██████████████████████████████▉ | 8691/9000 [7:38:18<15:35, 3.03s/it] {'lm_loss': '0.05026', 'visual_loss': '1.873', 'seg_loss': '0.5818', 'dino_loss': '0.8598', 'depth_loss': '0.1871', 'vggt_mse_loss': '0.1863', 'vggt_cos_loss': '0.008076', 'pidinet_loss': '0.0973', 'siglip_loss': '0.1466', 'epoch': '0.3127'} + 97%|██████████████████████████████▉ | 8691/9000 [7:38:21<15:35, 3.03s/it][Dataset] cur_step=8692 phase=D_mixed_covt[Dataset] cur_step=8692 phase=D_mixed_covt +[Dataset] cur_step=8692 phase=D_mixed_covt +[Dataset] cur_step=8692 phase=D_mixed_covt + + 97%|██████████████████████████████▉ | 8692/9000 [7:38:22<16:16, 3.17s/it][Dataset] cur_step=8692 phase=D_mixed_covt[Dataset] cur_step=8692 phase=D_mixed_covt + +[Dataset] cur_step=8692 phase=D_mixed_covt +[Dataset] cur_step=8692 phase=D_mixed_covt + {'loss': '3.124', 'grad_norm': '2.12', 'learning_rate': '1.599e-07', 'epoch': '0.3127'} + 97%|██████████████████████████████▉ | 8692/9000 [7:38:22<16:16, 3.17s/it] {'lm_loss': '0.6405', 'visual_loss': '2.714', 'seg_loss': '0.7228', 'dino_loss': '0.9313', 'depth_loss': '0.161', 'vggt_mse_loss': '0.16', 'vggt_cos_loss': '0.01018', 'pidinet_loss': '0.2311', 'siglip_loss': '0.6683', 'epoch': '0.3127'} + 97%|██████████████████████████████▉ | 8692/9000 [7:38:24<16:16, 3.17s/it][Dataset] cur_step=8693 phase=D_mixed_covt +[Dataset] cur_step=8693 phase=D_mixed_covt +[Dataset] cur_step=8693 phase=D_mixed_covt[Dataset] cur_step=8693 phase=D_mixed_covt + +[Dataset] cur_step=8693 phase=D_mixed_covt +[Dataset] cur_step=8693 phase=D_mixed_covt[Dataset] cur_step=8693 phase=D_mixed_covt + + 97%|██████████████████████████████▉ | 8693/9000 [7:38:27<20:09, 3.94s/it][Dataset] cur_step=8693 phase=D_mixed_covt + {'loss': '3.114', 'grad_norm': '2.592', 'learning_rate': '1.589e-07', 'epoch': '0.3127'} + 97%|██████████████████████████████▉ | 8693/9000 [7:38:27<20:09, 3.94s/it] {'lm_loss': '0.4263', 'visual_loss': '2.631', 'seg_loss': '0.6317', 'dino_loss': '0.8976', 'depth_loss': '0.2874', 'vggt_mse_loss': '0.2852', 'vggt_cos_loss': '0.02186', 'pidinet_loss': '0.2464', 'siglip_loss': '0.5683', 'epoch': '0.3127'} + 97%|██████████████████████████████▉ | 8693/9000 [7:38:30<20:09, 3.94s/it][Dataset] cur_step=8694 phase=D_mixed_covt +[Dataset] cur_step=8694 phase=D_mixed_covt[Dataset] cur_step=8694 phase=D_mixed_covt +[Dataset] cur_step=8694 phase=D_mixed_covt + +[Dataset] cur_step=8694 phase=D_mixed_covt 97%|██████████████████████████████▉ | 8694/9000 [7:38:31<19:49, 3.89s/it] +[Dataset] cur_step=8694 phase=D_mixed_covt +[Dataset] cur_step=8694 phase=D_mixed_covt +[Dataset] cur_step=8694 phase=D_mixed_covt + {'loss': '3.151', 'grad_norm': '3.135', 'learning_rate': '1.579e-07', 'epoch': '0.3128'} + 97%|██████████████████████████████▉ | 8694/9000 [7:38:31<19:49, 3.89s/it] {'lm_loss': '0.4984', 'visual_loss': '2.575', 'seg_loss': '0.8043', 'dino_loss': '0.9081', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2202', 'siglip_loss': '0.6425', 'epoch': '0.3128'} + 97%|██████████████████████████████▉ | 8694/9000 [7:38:33<19:49, 3.89s/it][Dataset] cur_step=8695 phase=D_mixed_covt +[Dataset] cur_step=8695 phase=D_mixed_covt +[Dataset] cur_step=8695 phase=D_mixed_covt +[Dataset] cur_step=8695 phase=D_mixed_covt +[Dataset] cur_step=8695 phase=D_mixed_covt +[Dataset] cur_step=8695 phase=D_mixed_covt +[Dataset] cur_step=8695 phase=D_mixed_covt + 97%|██████████████████████████████▉ | 8695/9000 [7:38:33<17:04, 3.36s/it][Dataset] cur_step=8695 phase=D_mixed_covt + {'loss': '2.986', 'grad_norm': '2.541', 'learning_rate': '1.568e-07', 'epoch': '0.3128'} + 97%|██████████████████████████████▉ | 8695/9000 [7:38:33<17:04, 3.36s/it] {'lm_loss': '0.1173', 'visual_loss': '2.362', 'seg_loss': '0.57', 'dino_loss': '0.9125', 'depth_loss': '0.1722', 'vggt_mse_loss': '0.1709', 'vggt_cos_loss': '0.01275', 'pidinet_loss': '0.2662', 'siglip_loss': '0.4411', 'epoch': '0.3128'} + 97%|██████████████████████████████▉ | 8695/9000 [7:38:34<17:04, 3.36s/it][Dataset] cur_step=8696 phase=D_mixed_covt +[Dataset] cur_step=8696 phase=D_mixed_covt +[Dataset] cur_step=8696 phase=D_mixed_covt +[Dataset] cur_step=8696 phase=D_mixed_covt +[Dataset] cur_step=8696 phase=D_mixed_covt +[Dataset] cur_step=8696 phase=D_mixed_covt + 97%|██████████████████████████████▉ | 8696/9000 [7:38:38<18:32, 3.66s/it][Dataset] cur_step=8696 phase=D_mixed_covt +[Dataset] cur_step=8696 phase=D_mixed_covt + {'loss': '3.212', 'grad_norm': '4.685', 'learning_rate': '1.558e-07', 'epoch': '0.3128'} + 97%|██████████████████████████████▉ | 8696/9000 [7:38:38<18:32, 3.66s/it] {'lm_loss': '0.6894', 'visual_loss': '2.245', 'seg_loss': '0.7905', 'dino_loss': '0.9313', 'depth_loss': '0.2017', 'vggt_mse_loss': '0.2006', 'vggt_cos_loss': '0.01024', 'pidinet_loss': '0', 'siglip_loss': '0.3213', 'epoch': '0.3128'} + 97%|██████████████████████████████▉ | 8696/9000 [7:38:39<18:32, 3.66s/it][Dataset] cur_step=8697 phase=D_mixed_covt +[Dataset] cur_step=8697 phase=D_mixed_covt +[Dataset] cur_step=8697 phase=D_mixed_covt[Dataset] cur_step=8697 phase=D_mixed_covt + + 97%|██████████████████████████████▉ | 8697/9000 [7:38:40<15:49, 3.14s/it][Dataset] cur_step=8697 phase=D_mixed_covt +[Dataset] cur_step=8697 phase=D_mixed_covt +[Dataset] cur_step=8697 phase=D_mixed_covt +[Dataset] cur_step=8697 phase=D_mixed_covt + {'loss': '2.987', 'grad_norm': '4.112', 'learning_rate': '1.548e-07', 'epoch': '0.3129'} + 97%|██████████████████████████████▉ | 8697/9000 [7:38:40<15:49, 3.14s/it] {'lm_loss': '0.4138', 'visual_loss': '2.61', 'seg_loss': '0.7156', 'dino_loss': '0.9216', 'depth_loss': '0.2186', 'vggt_mse_loss': '0.217', 'vggt_cos_loss': '0.01607', 'pidinet_loss': '0.2956', 'siglip_loss': '0.4589', 'epoch': '0.3129'} + 97%|██████████████████████████████▉ | 8697/9000 [7:38:42<15:49, 3.14s/it][Dataset] cur_step=8698 phase=D_mixed_covt +[Dataset] cur_step=8698 phase=D_mixed_covt[Dataset] cur_step=8698 phase=D_mixed_covt + +[Dataset] cur_step=8698 phase=D_mixed_covt 97%|██████████████████████████████▉ | 8698/9000 [7:38:43<16:10, 3.21s/it] +[Dataset] cur_step=8698 phase=D_mixed_covt[Dataset] cur_step=8698 phase=D_mixed_covt + +[Dataset] cur_step=8698 phase=D_mixed_covt +[Dataset] cur_step=8698 phase=D_mixed_covt + {'loss': '3.321', 'grad_norm': '2.678', 'learning_rate': '1.538e-07', 'epoch': '0.3129'} + 97%|██████████████████████████████▉ | 8698/9000 [7:38:43<16:10, 3.21s/it] {'lm_loss': '0.8664', 'visual_loss': '2.886', 'seg_loss': '0.878', 'dino_loss': '0.9396', 'depth_loss': '0.1577', 'vggt_mse_loss': '0.1566', 'vggt_cos_loss': '0.01079', 'pidinet_loss': '0.2243', 'siglip_loss': '0.6862', 'epoch': '0.3129'} + 97%|██████████████████████████████▉ | 8698/9000 [7:38:45<16:10, 3.21s/it][Dataset] cur_step=8699 phase=D_mixed_covt +[Dataset] cur_step=8699 phase=D_mixed_covt[Dataset] cur_step=8699 phase=D_mixed_covt + +[Dataset] cur_step=8699 phase=D_mixed_covt +[Dataset] cur_step=8699 phase=D_mixed_covt[Dataset] cur_step=8699 phase=D_mixed_covt + + 97%|██████████████████████████████▉ | 8699/9000 [7:38:46<15:13, 3.03s/it][Dataset] cur_step=8699 phase=D_mixed_covt[Dataset] cur_step=8699 phase=D_mixed_covt + + {'loss': '3.268', 'grad_norm': '3.12', 'learning_rate': '1.527e-07', 'epoch': '0.3129'} + 97%|██████████████████████████████▉ | 8699/9000 [7:38:46<15:13, 3.03s/it] {'lm_loss': '0.566', 'visual_loss': '2.553', 'seg_loss': '0.7371', 'dino_loss': '0.8764', 'depth_loss': '0.1804', 'vggt_mse_loss': '0.179', 'vggt_cos_loss': '0.01396', 'pidinet_loss': '0.2475', 'siglip_loss': '0.5112', 'epoch': '0.3129'} + 97%|██████████████████████████████▉ | 8699/9000 [7:38:48<15:13, 3.03s/it][Dataset] cur_step=8700 phase=D_mixed_covt +[Dataset] cur_step=8700 phase=D_mixed_covt +[Dataset] cur_step=8700 phase=D_mixed_covt +[Dataset] cur_step=8700 phase=D_mixed_covt +[Dataset] cur_step=8700 phase=D_mixed_covt +[Dataset] cur_step=8700 phase=D_mixed_covt + 97%|██████████████████████████████▉ | 8700/9000 [7:38:49<15:11, 3.04s/it][Dataset] cur_step=8700 phase=D_mixed_covt +[Dataset] cur_step=8700 phase=D_mixed_covt + {'loss': '3.069', 'grad_norm': '3.745', 'learning_rate': '1.517e-07', 'epoch': '0.313'} + 97%|██████████████████████████████▉ | 8700/9000 [7:38:49<15:11, 3.04s/it] {'lm_loss': '0.4562', 'visual_loss': '2.261', 'seg_loss': '0.519', 'dino_loss': '0.8802', 'depth_loss': '0.1469', 'vggt_mse_loss': '0.1464', 'vggt_cos_loss': '0.004342', 'pidinet_loss': '0.2285', 'siglip_loss': '0.4868', 'epoch': '0.313'} + 97%|██████████████████████████████▉ | 8700/9000 [7:38:51<15:11, 3.04s/it][Dataset] cur_step=8701 phase=D_mixed_covt + 97%|██████████████████████████████▉ | 8701/9000 [7:38:52<15:00, 3.01s/it][Dataset] cur_step=8701 phase=D_mixed_covt +[Dataset] cur_step=8701 phase=D_mixed_covt[Dataset] cur_step=8701 phase=D_mixed_covt +[Dataset] cur_step=8701 phase=D_mixed_covt + +[Dataset] cur_step=8701 phase=D_mixed_covt +[Dataset] cur_step=8701 phase=D_mixed_covt +[Dataset] cur_step=8701 phase=D_mixed_covt + {'loss': '3.206', 'grad_norm': '2.951', 'learning_rate': '1.507e-07', 'epoch': '0.313'} + 97%|██████████████████████████████▉ | 8701/9000 [7:38:52<15:00, 3.01s/it] {'lm_loss': '0.5675', 'visual_loss': '1.944', 'seg_loss': '0', 'dino_loss': '0.9166', 'depth_loss': '0.203', 'vggt_mse_loss': '0.2013', 'vggt_cos_loss': '0.01717', 'pidinet_loss': '0.2307', 'siglip_loss': '0.5936', 'epoch': '0.313'} + 97%|██████████████████████████████▉ | 8701/9000 [7:38:52<15:00, 3.01s/it][Dataset] cur_step=8702 phase=D_mixed_covt +[Dataset] cur_step=8702 phase=D_mixed_covt +[Dataset] cur_step=8702 phase=D_mixed_covt +[Dataset] cur_step=8702 phase=D_mixed_covt +[Dataset] cur_step=8702 phase=D_mixed_covt +[Dataset] cur_step=8702 phase=D_mixed_covt +[Dataset] cur_step=8702 phase=D_mixed_covt +[Dataset] cur_step=8702 phase=D_mixed_covt + 97%|██████████████████████████████▉ | 8702/9000 [7:38:53<12:17, 2.48s/it] {'loss': '2.347', 'grad_norm': '5.161', 'learning_rate': '1.497e-07', 'epoch': '0.3131'} + 97%|██████████████████████████████▉ | 8702/9000 [7:38:53<12:17, 2.48s/it] {'lm_loss': '0.7945', 'visual_loss': '2.808', 'seg_loss': '0.8308', 'dino_loss': '0.9233', 'depth_loss': '0.2465', 'vggt_mse_loss': '0.2445', 'vggt_cos_loss': '0.01986', 'pidinet_loss': '0.2886', 'siglip_loss': '0.5186', 'epoch': '0.3131'} + 97%|██████████████████████████████▉ | 8702/9000 [7:38:54<12:17, 2.48s/it][Dataset] cur_step=8703 phase=D_mixed_covt +[Dataset] cur_step=8703 phase=D_mixed_covt +[Dataset] cur_step=8703 phase=D_mixed_covt +[Dataset] cur_step=8703 phase=D_mixed_covt +[Dataset] cur_step=8703 phase=D_mixed_covt +[Dataset] cur_step=8703 phase=D_mixed_covt +[Dataset] cur_step=8703 phase=D_mixed_covt +[Dataset] cur_step=8703 phase=D_mixed_covt + 97%|██████████████████████████████▉ | 8703/9000 [7:38:55<11:25, 2.31s/it] {'loss': '2.994', 'grad_norm': '2.67', 'learning_rate': '1.487e-07', 'epoch': '0.3131'} + 97%|██████████████████████████████▉ | 8703/9000 [7:38:55<11:25, 2.31s/it] {'lm_loss': '0.6016', 'visual_loss': '2.357', 'seg_loss': '0.4864', 'dino_loss': '0.8798', 'depth_loss': '0.2797', 'vggt_mse_loss': '0.2772', 'vggt_cos_loss': '0.02504', 'pidinet_loss': '0.1947', 'siglip_loss': '0.5162', 'epoch': '0.3131'} + 97%|██████████████████████████████▉ | 8703/9000 [7:38:56<11:25, 2.31s/it][Dataset] cur_step=8704 phase=D_mixed_covt +[Dataset] cur_step=8704 phase=D_mixed_covt +[Dataset] cur_step=8704 phase=D_mixed_covt +[Dataset] cur_step=8704 phase=D_mixed_covt +[Dataset] cur_step=8704 phase=D_mixed_covt +[Dataset] cur_step=8704 phase=D_mixed_covt + 97%|██████████████████████████████▉ | 8704/9000 [7:38:57<10:59, 2.23s/it][Dataset] cur_step=8704 phase=D_mixed_covt +[Dataset] cur_step=8704 phase=D_mixed_covt + {'loss': '3.205', 'grad_norm': '4.153', 'learning_rate': '1.477e-07', 'epoch': '0.3131'} + 97%|██████████████████████████████▉ | 8704/9000 [7:38:57<10:59, 2.23s/it] {'lm_loss': '1.5', 'visual_loss': '2.67', 'seg_loss': '0.7002', 'dino_loss': '0.9378', 'depth_loss': '0.2117', 'vggt_mse_loss': '0.2102', 'vggt_cos_loss': '0.01549', 'pidinet_loss': '0.2219', 'siglip_loss': '0.5987', 'epoch': '0.3131'} + 97%|██████████████████████████████▉ | 8704/9000 [7:38:59<10:59, 2.23s/it][Dataset] cur_step=8705 phase=D_mixed_covt[Dataset] cur_step=8705 phase=D_mixed_covt + +[Dataset] cur_step=8705 phase=D_mixed_covt[Dataset] cur_step=8705 phase=D_mixed_covt + + 97%|██████████████████████████████▉ | 8705/9000 [7:39:00<12:44, 2.59s/it][Dataset] cur_step=8705 phase=D_mixed_covt +[Dataset] cur_step=8705 phase=D_mixed_covt +[Dataset] cur_step=8705 phase=D_mixed_covt +[Dataset] cur_step=8705 phase=D_mixed_covt + {'loss': '3.195', 'grad_norm': '3.212', 'learning_rate': '1.467e-07', 'epoch': '0.3132'} + 97%|██████████████████████████████▉ | 8705/9000 [7:39:00<12:44, 2.59s/it] {'lm_loss': '1.013', 'visual_loss': '3.021', 'seg_loss': '0.7776', 'dino_loss': '0.9836', 'depth_loss': '0.3617', 'vggt_mse_loss': '0.3581', 'vggt_cos_loss': '0.03616', 'pidinet_loss': '0.3462', 'siglip_loss': '0.5515', 'epoch': '0.3132'} + 97%|██████████████████████████████▉ | 8705/9000 [7:39:01<12:44, 2.59s/it][Dataset] cur_step=8706 phase=D_mixed_covt +[Dataset] cur_step=8706 phase=D_mixed_covt +[Dataset] cur_step=8706 phase=D_mixed_covt +[Dataset] cur_step=8706 phase=D_mixed_covt +[Dataset] cur_step=8706 phase=D_mixed_covt +[Dataset] cur_step=8706 phase=D_mixed_covt +[Dataset] cur_step=8706 phase=D_mixed_covt + 97%|██████████████████████████████▉ | 8706/9000 [7:39:02<11:24, 2.33s/it][Dataset] cur_step=8706 phase=D_mixed_covt + {'loss': '3.298', 'grad_norm': '3.339', 'learning_rate': '1.457e-07', 'epoch': '0.3132'} + 97%|██████████████████████████████▉ | 8706/9000 [7:39:02<11:24, 2.33s/it] {'lm_loss': '0.5773', 'visual_loss': '2.511', 'seg_loss': '0.6764', 'dino_loss': '0.8969', 'depth_loss': '0.2091', 'vggt_mse_loss': '0.208', 'vggt_cos_loss': '0.01066', 'pidinet_loss': '0.1635', 'siglip_loss': '0.5652', 'epoch': '0.3132'} + 97%|██████████████████████████████▉ | 8706/9000 [7:39:04<11:24, 2.33s/it][Dataset] cur_step=8707 phase=D_mixed_covt[Dataset] cur_step=8707 phase=D_mixed_covt + +[Dataset] cur_step=8707 phase=D_mixed_covt +[Dataset] cur_step=8707 phase=D_mixed_covt[Dataset] cur_step=8707 phase=D_mixed_covt + 97%|██████████████████████████████▉ | 8707/9000 [7:39:05<12:18, 2.52s/it] +[Dataset] cur_step=8707 phase=D_mixed_covt +[Dataset] cur_step=8707 phase=D_mixed_covt +[Dataset] cur_step=8707 phase=D_mixed_covt + {'loss': '3.125', 'grad_norm': '2.413', 'learning_rate': '1.447e-07', 'epoch': '0.3132'} + 97%|██████████████████████████████▉ | 8707/9000 [7:39:05<12:18, 2.52s/it] {'lm_loss': '0.6834', 'visual_loss': '2.82', 'seg_loss': '0.7474', 'dino_loss': '0.8976', 'depth_loss': '0.302', 'vggt_mse_loss': '0.2995', 'vggt_cos_loss': '0.02532', 'pidinet_loss': '0.3269', 'siglip_loss': '0.5459', 'epoch': '0.3132'} + 97%|██████████████████████████████▉ | 8707/9000 [7:39:07<12:18, 2.52s/it][Dataset] cur_step=8708 phase=D_mixed_covt +[Dataset] cur_step=8708 phase=D_mixed_covt[Dataset] cur_step=8708 phase=D_mixed_covt + +[Dataset] cur_step=8708 phase=D_mixed_covt +[Dataset] cur_step=8708 phase=D_mixed_covt +[Dataset] cur_step=8708 phase=D_mixed_covt + 97%|██████████████████████████████▉ | 8708/9000 [7:39:08<12:53, 2.65s/it][Dataset] cur_step=8708 phase=D_mixed_covt +[Dataset] cur_step=8708 phase=D_mixed_covt + {'loss': '3.127', 'grad_norm': '2.083', 'learning_rate': '1.438e-07', 'epoch': '0.3133'} + 97%|██████████████████████████████▉ | 8708/9000 [7:39:08<12:53, 2.65s/it] {'lm_loss': '0.6471', 'visual_loss': '2.664', 'seg_loss': '0.4943', 'dino_loss': '0.9048', 'depth_loss': '0.1442', 'vggt_mse_loss': '0.1436', 'vggt_cos_loss': '0.006783', 'pidinet_loss': '0.2755', 'siglip_loss': '0.8447', 'epoch': '0.3133'} + 97%|██████████████████████████████▉ | 8708/9000 [7:39:11<12:53, 2.65s/it][Dataset] cur_step=8709 phase=D_mixed_covt[Dataset] cur_step=8709 phase=D_mixed_covt + + 97%|██████████████████████████████▉ | 8709/9000 [7:39:11<13:53, 2.87s/it][Dataset] cur_step=8709 phase=D_mixed_covt +[Dataset] cur_step=8709 phase=D_mixed_covt +[Dataset] cur_step=8709 phase=D_mixed_covt +[Dataset] cur_step=8709 phase=D_mixed_covt +[Dataset] cur_step=8709 phase=D_mixed_covt[Dataset] cur_step=8709 phase=D_mixed_covt + + {'loss': '3.196', 'grad_norm': '6.176', 'learning_rate': '1.428e-07', 'epoch': '0.3133'} + 97%|██████████████████████████████▉ | 8709/9000 [7:39:11<13:53, 2.87s/it] {'lm_loss': '0.5406', 'visual_loss': '2.853', 'seg_loss': '0.7477', 'dino_loss': '0.9362', 'depth_loss': '0.2569', 'vggt_mse_loss': '0.2551', 'vggt_cos_loss': '0.01796', 'pidinet_loss': '0.2552', 'siglip_loss': '0.6574', 'epoch': '0.3133'} + 97%|██████████████████████████████▉ | 8709/9000 [7:39:12<13:53, 2.87s/it][Dataset] cur_step=8710 phase=D_mixed_covt +[Dataset] cur_step=8710 phase=D_mixed_covt +[Dataset] cur_step=8710 phase=D_mixed_covt[Dataset] cur_step=8710 phase=D_mixed_covt + +[Dataset] cur_step=8710 phase=D_mixed_covt +[Dataset] cur_step=8710 phase=D_mixed_covt[Dataset] cur_step=8710 phase=D_mixed_covt + + 97%|██████████████████████████████▉ | 8710/9000 [7:39:13<12:33, 2.60s/it][Dataset] cur_step=8710 phase=D_mixed_covt + {'loss': '3.364', 'grad_norm': '8.148', 'learning_rate': '1.418e-07', 'epoch': '0.3133'} + 97%|██████████████████████████████▉ | 8710/9000 [7:39:13<12:33, 2.60s/it] {'lm_loss': '0.5873', 'visual_loss': '2.805', 'seg_loss': '0.8232', 'dino_loss': '0.9176', 'depth_loss': '0.233', 'vggt_mse_loss': '0.2314', 'vggt_cos_loss': '0.01553', 'pidinet_loss': '0.2049', 'siglip_loss': '0.6264', 'epoch': '0.3133'} + 97%|██████████████████████████████▉ | 8710/9000 [7:39:15<12:33, 2.60s/it][Dataset] cur_step=8711 phase=D_mixed_covt +[Dataset] cur_step=8711 phase=D_mixed_covt +[Dataset] cur_step=8711 phase=D_mixed_covt +[Dataset] cur_step=8711 phase=D_mixed_covt +[Dataset] cur_step=8711 phase=D_mixed_covt +[Dataset] cur_step=8711 phase=D_mixed_covt +[Dataset] cur_step=8711 phase=D_mixed_covt + 97%|██████████████████████████████▉ | 8711/9000 [7:39:16<13:35, 2.82s/it][Dataset] cur_step=8711 phase=D_mixed_covt + {'loss': '3.3', 'grad_norm': '6.957', 'learning_rate': '1.408e-07', 'epoch': '0.3134'} + 97%|██████████████████████████████▉ | 8711/9000 [7:39:16<13:35, 2.82s/it] {'lm_loss': '0.4977', 'visual_loss': '2.528', 'seg_loss': '0.8458', 'dino_loss': '0.884', 'depth_loss': '0.1112', 'vggt_mse_loss': '0.1106', 'vggt_cos_loss': '0.005902', 'pidinet_loss': '0.3249', 'siglip_loss': '0.3617', 'epoch': '0.3134'} + 97%|██████████████████████████████▉ | 8711/9000 [7:39:18<13:35, 2.82s/it][Dataset] cur_step=8712 phase=D_mixed_covt +[Dataset] cur_step=8712 phase=D_mixed_covt +[Dataset] cur_step=8712 phase=D_mixed_covt +[Dataset] cur_step=8712 phase=D_mixed_covt +[Dataset] cur_step=8712 phase=D_mixed_covt +[Dataset] cur_step=8712 phase=D_mixed_covt +[Dataset] cur_step=8712 phase=D_mixed_covt + 97%|██████████████████████████████▉ | 8712/9000 [7:39:19<13:47, 2.87s/it][Dataset] cur_step=8712 phase=D_mixed_covt + {'loss': '3.475', 'grad_norm': '2.882', 'learning_rate': '1.398e-07', 'epoch': '0.3134'} + 97%|██████████████████████████████▉ | 8712/9000 [7:39:19<13:47, 2.87s/it] {'lm_loss': '0.926', 'visual_loss': '2.267', 'seg_loss': '0.5215', 'dino_loss': '0.915', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2237', 'siglip_loss': '0.6072', 'epoch': '0.3134'} + 97%|██████████████████████████████▉ | 8712/9000 [7:39:21<13:47, 2.87s/it][Dataset] cur_step=8713 phase=D_mixed_covt +[Dataset] cur_step=8713 phase=D_mixed_covt[Dataset] cur_step=8713 phase=D_mixed_covt[Dataset] cur_step=8713 phase=D_mixed_covt + + +[Dataset] cur_step=8713 phase=D_mixed_covt + 97%|██████████████████████████████▉ | 8713/9000 [7:39:21<12:03, 2.52s/it][Dataset] cur_step=8713 phase=D_mixed_covt[Dataset] cur_step=8713 phase=D_mixed_covt + +[Dataset] cur_step=8713 phase=D_mixed_covt + {'loss': '3.047', 'grad_norm': '2.679', 'learning_rate': '1.389e-07', 'epoch': '0.3135'} + 97%|██████████████████████████████▉ | 8713/9000 [7:39:21<12:03, 2.52s/it] {'lm_loss': '0.9863', 'visual_loss': '2.573', 'seg_loss': '0.7441', 'dino_loss': '0.9257', 'depth_loss': '0.1898', 'vggt_mse_loss': '0.1881', 'vggt_cos_loss': '0.01671', 'pidinet_loss': '0.2405', 'siglip_loss': '0.4731', 'epoch': '0.3135'} + 97%|██████████████████████████████▉ | 8713/9000 [7:39:23<12:03, 2.52s/it][Dataset] cur_step=8714 phase=D_mixed_covt +[Dataset] cur_step=8714 phase=D_mixed_covt +[Dataset] cur_step=8714 phase=D_mixed_covt +[Dataset] cur_step=8714 phase=D_mixed_covt +[Dataset] cur_step=8714 phase=D_mixed_covt + 97%|██████████████████████████████▉ | 8714/9000 [7:39:24<12:05, 2.54s/it][Dataset] cur_step=8714 phase=D_mixed_covt +[Dataset] cur_step=8714 phase=D_mixed_covt +[Dataset] cur_step=8714 phase=D_mixed_covt + {'loss': '3.311', 'grad_norm': '3.831', 'learning_rate': '1.379e-07', 'epoch': '0.3135'} + 97%|██████████████████████████████▉ | 8714/9000 [7:39:24<12:05, 2.54s/it] {'lm_loss': '0.4721', 'visual_loss': '2.734', 'seg_loss': '0.7299', 'dino_loss': '0.907', 'depth_loss': '0.1969', 'vggt_mse_loss': '0.1957', 'vggt_cos_loss': '0.01252', 'pidinet_loss': '0.2608', 'siglip_loss': '0.6392', 'epoch': '0.3135'} + 97%|██████████████████████████████▉ | 8714/9000 [7:39:26<12:05, 2.54s/it][Dataset] cur_step=8715 phase=D_mixed_covt[Dataset] cur_step=8715 phase=D_mixed_covt + + 97%|██████████████████████████████▉ | 8715/9000 [7:39:27<13:02, 2.74s/it][Dataset] cur_step=8715 phase=D_mixed_covt +[Dataset] cur_step=8715 phase=D_mixed_covt +[Dataset] cur_step=8715 phase=D_mixed_covt +[Dataset] cur_step=8715 phase=D_mixed_covt +[Dataset] cur_step=8715 phase=D_mixed_covt[Dataset] cur_step=8715 phase=D_mixed_covt + + {'loss': '3.24', 'grad_norm': '2.657', 'learning_rate': '1.37e-07', 'epoch': '0.3135'} + 97%|██████████████████████████████▉ | 8715/9000 [7:39:27<13:02, 2.74s/it] {'lm_loss': '0.06721', 'visual_loss': '2.603', 'seg_loss': '0.6819', 'dino_loss': '0.9059', 'depth_loss': '0.1245', 'vggt_mse_loss': '0.1236', 'vggt_cos_loss': '0.008224', 'pidinet_loss': '0.2451', 'siglip_loss': '0.6453', 'epoch': '0.3135'} + 97%|██████████████████████████████▉ | 8715/9000 [7:39:30<13:02, 2.74s/it][Dataset] cur_step=8716 phase=D_mixed_covt +[Dataset] cur_step=8716 phase=D_mixed_covt +[Dataset] cur_step=8716 phase=D_mixed_covt[Dataset] cur_step=8716 phase=D_mixed_covt +[Dataset] cur_step=8716 phase=D_mixed_covt + + 97%|██████████████████████████████▉ | 8716/9000 [7:39:30<13:47, 2.91s/it][Dataset] cur_step=8716 phase=D_mixed_covt +[Dataset] cur_step=8716 phase=D_mixed_covt +[Dataset] cur_step=8716 phase=D_mixed_covt + {'loss': '3.088', 'grad_norm': '1.895', 'learning_rate': '1.36e-07', 'epoch': '0.3136'} + 97%|██████████████████████████████▉ | 8716/9000 [7:39:30<13:47, 2.91s/it] {'lm_loss': '0.8381', 'visual_loss': '2.684', 'seg_loss': '0.8016', 'dino_loss': '0.9192', 'depth_loss': '0.2656', 'vggt_mse_loss': '0.2638', 'vggt_cos_loss': '0.01823', 'pidinet_loss': '0.2163', 'siglip_loss': '0.4808', 'epoch': '0.3136'} + 97%|██████████████████████████████▉ | 8716/9000 [7:39:32<13:47, 2.91s/it][Dataset] cur_step=8717 phase=D_mixed_covt +[Dataset] cur_step=8717 phase=D_mixed_covt +[Dataset] cur_step=8717 phase=D_mixed_covt +[Dataset] cur_step=8717 phase=D_mixed_covt 97%|██████████████████████████████▉ | 8717/9000 [7:39:33<13:13, 2.81s/it] +[Dataset] cur_step=8717 phase=D_mixed_covt +[Dataset] cur_step=8717 phase=D_mixed_covt[Dataset] cur_step=8717 phase=D_mixed_covt + +[Dataset] cur_step=8717 phase=D_mixed_covt + {'loss': '3.218', 'grad_norm': '2.944', 'learning_rate': '1.35e-07', 'epoch': '0.3136'} + 97%|██████████████████████████████▉ | 8717/9000 [7:39:33<13:13, 2.81s/it] {'lm_loss': '0.08929', 'visual_loss': '2.729', 'seg_loss': '0.7082', 'dino_loss': '0.8566', 'depth_loss': '0.3676', 'vggt_mse_loss': '0.3649', 'vggt_cos_loss': '0.02747', 'pidinet_loss': '0.2477', 'siglip_loss': '0.549', 'epoch': '0.3136'} + 97%|██████████████████████████████▉ | 8717/9000 [7:39:36<13:13, 2.81s/it][Dataset] cur_step=8718 phase=D_mixed_covt +[Dataset] cur_step=8718 phase=D_mixed_covt[Dataset] cur_step=8718 phase=D_mixed_covt[Dataset] cur_step=8718 phase=D_mixed_covt + +[Dataset] cur_step=8718 phase=D_mixed_covt + + 97%|██████████████████████████████▉ | 8718/9000 [7:39:39<18:01, 3.84s/it][Dataset] cur_step=8718 phase=D_mixed_covt +[Dataset] cur_step=8718 phase=D_mixed_covt +[Dataset] cur_step=8718 phase=D_mixed_covt + {'loss': '3.489', 'grad_norm': '4.367', 'learning_rate': '1.341e-07', 'epoch': '0.3136'} + 97%|██████████████████████████████▉ | 8718/9000 [7:39:39<18:01, 3.84s/it] {'lm_loss': '0.8001', 'visual_loss': '2.786', 'seg_loss': '0.6592', 'dino_loss': '0.8759', 'depth_loss': '0.1782', 'vggt_mse_loss': '0.177', 'vggt_cos_loss': '0.01232', 'pidinet_loss': '0.2649', 'siglip_loss': '0.8074', 'epoch': '0.3136'} + 97%|██████████████████████████████▉ | 8718/9000 [7:39:41<18:01, 3.84s/it][Dataset] cur_step=8719 phase=D_mixed_covt +[Dataset] cur_step=8719 phase=D_mixed_covt +[Dataset] cur_step=8719 phase=D_mixed_covt +[Dataset] cur_step=8719 phase=D_mixed_covt[Dataset] cur_step=8719 phase=D_mixed_covt + +[Dataset] cur_step=8719 phase=D_mixed_covt[Dataset] cur_step=8719 phase=D_mixed_covt + + 97%|███████████████████████████████ | 8719/9000 [7:39:42<16:25, 3.51s/it][Dataset] cur_step=8719 phase=D_mixed_covt + {'loss': '3.198', 'grad_norm': '9.121', 'learning_rate': '1.331e-07', 'epoch': '0.3137'} + 97%|███████████████████████████████ | 8719/9000 [7:39:42<16:25, 3.51s/it] {'lm_loss': '0.5293', 'visual_loss': '2.669', 'seg_loss': '0.7188', 'dino_loss': '0.9723', 'depth_loss': '0.2123', 'vggt_mse_loss': '0.2108', 'vggt_cos_loss': '0.01413', 'pidinet_loss': '0.2442', 'siglip_loss': '0.5214', 'epoch': '0.3137'} + 97%|███████████████████████████████ | 8719/9000 [7:39:44<16:25, 3.51s/it][Dataset] cur_step=8720 phase=D_mixed_covt +[Dataset] cur_step=8720 phase=D_mixed_covt[Dataset] cur_step=8720 phase=D_mixed_covt + +[Dataset] cur_step=8720 phase=D_mixed_covt + 97%|███████████████████████████████ | 8720/9000 [7:39:44<15:04, 3.23s/it][Dataset] cur_step=8720 phase=D_mixed_covt +[Dataset] cur_step=8720 phase=D_mixed_covt +[Dataset] cur_step=8720 phase=D_mixed_covt +[Dataset] cur_step=8720 phase=D_mixed_covt + {'loss': '3.275', 'grad_norm': '8.285', 'learning_rate': '1.322e-07', 'epoch': '0.3137'} + 97%|███████████████████████████████ | 8720/9000 [7:39:44<15:04, 3.23s/it] {'lm_loss': '0.8407', 'visual_loss': '2.258', 'seg_loss': '0.7651', 'dino_loss': '0.895', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0', 'siglip_loss': '0.5977', 'epoch': '0.3137'} + 97%|███████████████████████████████ | 8720/9000 [7:39:46<15:04, 3.23s/it][Dataset] cur_step=8721 phase=D_mixed_covt +[Dataset] cur_step=8721 phase=D_mixed_covt[Dataset] cur_step=8721 phase=D_mixed_covt[Dataset] cur_step=8721 phase=D_mixed_covt + + +[Dataset] cur_step=8721 phase=D_mixed_covt +[Dataset] cur_step=8721 phase=D_mixed_covt +[Dataset] cur_step=8721 phase=D_mixed_covt[Dataset] cur_step=8721 phase=D_mixed_covt + + 97%|███████████████████████████████ | 8721/9000 [7:39:46<12:59, 2.79s/it] {'loss': '2.823', 'grad_norm': '5.737', 'learning_rate': '1.313e-07', 'epoch': '0.3137'} + 97%|███████████████████████████████ | 8721/9000 [7:39:46<12:59, 2.79s/it] {'lm_loss': '0.759', 'visual_loss': '2.875', 'seg_loss': '0.8072', 'dino_loss': '0.9413', 'depth_loss': '0.5783', 'vggt_mse_loss': '0.5737', 'vggt_cos_loss': '0.04547', 'pidinet_loss': '0.2226', 'siglip_loss': '0.3261', 'epoch': '0.3137'} + 97%|███████████████████████████████ | 8721/9000 [7:39:48<12:59, 2.79s/it][Dataset] cur_step=8722 phase=D_mixed_covt +[Dataset] cur_step=8722 phase=D_mixed_covt[Dataset] cur_step=8722 phase=D_mixed_covt + +[Dataset] cur_step=8722 phase=D_mixed_covt +[Dataset] cur_step=8722 phase=D_mixed_covt[Dataset] cur_step=8722 phase=D_mixed_covt + + 97%|███████████████████████████████ | 8722/9000 [7:39:48<11:49, 2.55s/it][Dataset] cur_step=8722 phase=D_mixed_covt +[Dataset] cur_step=8722 phase=D_mixed_covt + {'loss': '3.672', 'grad_norm': '5.258', 'learning_rate': '1.303e-07', 'epoch': '0.3138'} + 97%|███████████████████████████████ | 8722/9000 [7:39:48<11:49, 2.55s/it] {'lm_loss': '0.6468', 'visual_loss': '2.193', 'seg_loss': '0.8712', 'dino_loss': '0.865', 'depth_loss': '0.1767', 'vggt_mse_loss': '0.1753', 'vggt_cos_loss': '0.01437', 'pidinet_loss': '0.1034', 'siglip_loss': '0.1762', 'epoch': '0.3138'} + 97%|███████████████████████████████ | 8722/9000 [7:39:49<11:49, 2.55s/it][Dataset] cur_step=8723 phase=D_mixed_covt[Dataset] cur_step=8723 phase=D_mixed_covt + +[Dataset] cur_step=8723 phase=D_mixed_covt +[Dataset] cur_step=8723 phase=D_mixed_covt[Dataset] cur_step=8723 phase=D_mixed_covt[Dataset] cur_step=8723 phase=D_mixed_covt + + +[Dataset] cur_step=8723 phase=D_mixed_covt 97%|███████████████████████████████ | 8723/9000 [7:39:50<10:43, 2.32s/it] +[Dataset] cur_step=8723 phase=D_mixed_covt + {'loss': '3.306', 'grad_norm': '3.028', 'learning_rate': '1.294e-07', 'epoch': '0.3138'} + 97%|███████████████████████████████ | 8723/9000 [7:39:50<10:43, 2.32s/it] {'lm_loss': '0.3885', 'visual_loss': '2.569', 'seg_loss': '0.6161', 'dino_loss': '0.9037', 'depth_loss': '0.1454', 'vggt_mse_loss': '0.1442', 'vggt_cos_loss': '0.01196', 'pidinet_loss': '0.2738', 'siglip_loss': '0.6301', 'epoch': '0.3138'} + 97%|███████████████████████████████ | 8723/9000 [7:39:52<10:43, 2.32s/it][Dataset] cur_step=8724 phase=D_mixed_covt +[Dataset] cur_step=8724 phase=D_mixed_covt[Dataset] cur_step=8724 phase=D_mixed_covt + +[Dataset] cur_step=8724 phase=D_mixed_covt[Dataset] cur_step=8724 phase=D_mixed_covt + +[Dataset] cur_step=8724 phase=D_mixed_covt +[Dataset] cur_step=8724 phase=D_mixed_covt +[Dataset] cur_step=8724 phase=D_mixed_covt + 97%|███████████████████████████████ | 8724/9000 [7:39:53<11:28, 2.49s/it] {'loss': '3.174', 'grad_norm': '5.49', 'learning_rate': '1.284e-07', 'epoch': '0.3138'} + 97%|███████████████████████████████ | 8724/9000 [7:39:53<11:28, 2.49s/it] {'lm_loss': '0.05948', 'visual_loss': '2.184', 'seg_loss': '0.4429', 'dino_loss': '0.881', 'depth_loss': '0.2496', 'vggt_mse_loss': '0.2477', 'vggt_cos_loss': '0.01868', 'pidinet_loss': '0.1961', 'siglip_loss': '0.4147', 'epoch': '0.3138'} + 97%|███████████████████████████████ | 8724/9000 [7:39:54<11:28, 2.49s/it][Dataset] cur_step=8725 phase=D_mixed_covt[Dataset] cur_step=8725 phase=D_mixed_covt + +[Dataset] cur_step=8725 phase=D_mixed_covt[Dataset] cur_step=8725 phase=D_mixed_covt + +[Dataset] cur_step=8725 phase=D_mixed_covt + 97%|███████████████████████████████ | 8725/9000 [7:39:55<10:57, 2.39s/it][Dataset] cur_step=8725 phase=D_mixed_covt +[Dataset] cur_step=8725 phase=D_mixed_covt +[Dataset] cur_step=8725 phase=D_mixed_covt + {'loss': '3.266', 'grad_norm': '3.719', 'learning_rate': '1.275e-07', 'epoch': '0.3139'} + 97%|███████████████████████████████ | 8725/9000 [7:39:55<10:57, 2.39s/it] {'lm_loss': '0.459', 'visual_loss': '2.617', 'seg_loss': '0.3506', 'dino_loss': '0.9012', 'depth_loss': '0.3131', 'vggt_mse_loss': '0.3104', 'vggt_cos_loss': '0.02717', 'pidinet_loss': '0.2647', 'siglip_loss': '0.787', 'epoch': '0.3139'} + 97%|███████████████████████████████ | 8725/9000 [7:40:00<10:57, 2.39s/it][Dataset] cur_step=8726 phase=D_mixed_covt + 97%|███████████████████████████████ | 8726/9000 [7:40:00<15:11, 3.33s/it][Dataset] cur_step=8726 phase=D_mixed_covt +[Dataset] cur_step=8726 phase=D_mixed_covt +[Dataset] cur_step=8726 phase=D_mixed_covt +[Dataset] cur_step=8726 phase=D_mixed_covt +[Dataset] cur_step=8726 phase=D_mixed_covt[Dataset] cur_step=8726 phase=D_mixed_covt + +[Dataset] cur_step=8726 phase=D_mixed_covt + {'loss': '3.007', 'grad_norm': '2.19', 'learning_rate': '1.266e-07', 'epoch': '0.3139'} + 97%|███████████████████████████████ | 8726/9000 [7:40:01<15:11, 3.33s/it] {'lm_loss': '0.7749', 'visual_loss': '2.413', 'seg_loss': '0.7474', 'dino_loss': '0.9447', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.1906', 'siglip_loss': '0.5302', 'epoch': '0.3139'} + 97%|███████████████████████████████ | 8726/9000 [7:40:03<15:11, 3.33s/it][Dataset] cur_step=8727 phase=D_mixed_covt[Dataset] cur_step=8727 phase=D_mixed_covt + +[Dataset] cur_step=8727 phase=D_mixed_covt +[Dataset] cur_step=8727 phase=D_mixed_covt +[Dataset] cur_step=8727 phase=D_mixed_covt +[Dataset] cur_step=8727 phase=D_mixed_covt 97%|███████████████████████████████ | 8727/9000 [7:40:04<14:59, 3.30s/it] +[Dataset] cur_step=8727 phase=D_mixed_covt +[Dataset] cur_step=8727 phase=D_mixed_covt + {'loss': '3.039', 'grad_norm': '4.652', 'learning_rate': '1.257e-07', 'epoch': '0.314'} + 97%|███████████████████████████████ | 8727/9000 [7:40:04<14:59, 3.30s/it] {'lm_loss': '0.08533', 'visual_loss': '2.971', 'seg_loss': '0.837', 'dino_loss': '0.9419', 'depth_loss': '0.2037', 'vggt_mse_loss': '0.2022', 'vggt_cos_loss': '0.01472', 'pidinet_loss': '0.1786', 'siglip_loss': '0.81', 'epoch': '0.314'} + 97%|███████████████████████████████ | 8727/9000 [7:40:06<14:59, 3.30s/it][Dataset] cur_step=8728 phase=D_mixed_covt +[Dataset] cur_step=8728 phase=D_mixed_covt +[Dataset] cur_step=8728 phase=D_mixed_covt +[Dataset] cur_step=8728 phase=D_mixed_covt +[Dataset] cur_step=8728 phase=D_mixed_covt +[Dataset] cur_step=8728 phase=D_mixed_covt + 97%|███████████████████████████████ | 8728/9000 [7:40:06<14:09, 3.12s/it][Dataset] cur_step=8728 phase=D_mixed_covt +[Dataset] cur_step=8728 phase=D_mixed_covt + {'loss': '3.239', 'grad_norm': '2.918', 'learning_rate': '1.248e-07', 'epoch': '0.314'} + 97%|███████████████████████████████ | 8728/9000 [7:40:06<14:09, 3.12s/it] {'lm_loss': '0.07472', 'visual_loss': '2.704', 'seg_loss': '0.7932', 'dino_loss': '0.9278', 'depth_loss': '0.3129', 'vggt_mse_loss': '0.31', 'vggt_cos_loss': '0.02867', 'pidinet_loss': '0.2286', 'siglip_loss': '0.4421', 'epoch': '0.314'} + 97%|███████████████████████████████ | 8728/9000 [7:40:09<14:09, 3.12s/it][Dataset] cur_step=8729 phase=D_mixed_covt +[Dataset] cur_step=8729 phase=D_mixed_covt[Dataset] cur_step=8729 phase=D_mixed_covt +[Dataset] cur_step=8729 phase=D_mixed_covt + +[Dataset] cur_step=8729 phase=D_mixed_covt[Dataset] cur_step=8729 phase=D_mixed_covt + +[Dataset] cur_step=8729 phase=D_mixed_covt[Dataset] cur_step=8729 phase=D_mixed_covt + + 97%|███████████████████████████████ | 8729/9000 [7:40:10<14:08, 3.13s/it] {'loss': '2.861', 'grad_norm': '5.354', 'learning_rate': '1.238e-07', 'epoch': '0.314'} + 97%|███████████████████████████████ | 8729/9000 [7:40:10<14:08, 3.13s/it] {'lm_loss': '0.1341', 'visual_loss': '1.779', 'seg_loss': '0.8218', 'dino_loss': '0', 'depth_loss': '0.3589', 'vggt_mse_loss': '0.3573', 'vggt_cos_loss': '0.01533', 'pidinet_loss': '0', 'siglip_loss': '0.5983', 'epoch': '0.314'} + 97%|███████████████████████████████ | 8729/9000 [7:40:12<14:08, 3.13s/it][Dataset] cur_step=8730 phase=D_mixed_covt[Dataset] cur_step=8730 phase=D_mixed_covt + +[Dataset] cur_step=8730 phase=D_mixed_covt 97%|███████████████████████████████ | 8730/9000 [7:40:13<14:29, 3.22s/it] +[Dataset] cur_step=8730 phase=D_mixed_covt +[Dataset] cur_step=8730 phase=D_mixed_covt +[Dataset] cur_step=8730 phase=D_mixed_covt +[Dataset] cur_step=8730 phase=D_mixed_covt +[Dataset] cur_step=8730 phase=D_mixed_covt + {'loss': '2.075', 'grad_norm': '3.505', 'learning_rate': '1.229e-07', 'epoch': '0.3141'} + 97%|███████████████████████████████ | 8730/9000 [7:40:13<14:29, 3.22s/it] {'lm_loss': '1.27', 'visual_loss': '0.7582', 'seg_loss': '0', 'dino_loss': '0', 'depth_loss': '0.2093', 'vggt_mse_loss': '0.2078', 'vggt_cos_loss': '0.0146', 'pidinet_loss': '0.07708', 'siglip_loss': '0.4718', 'epoch': '0.3141'} + 97%|███████████████████████████████ | 8730/9000 [7:40:14<14:29, 3.22s/it][Dataset] cur_step=8731 phase=D_mixed_covt[Dataset] cur_step=8731 phase=D_mixed_covt + +[Dataset] cur_step=8731 phase=D_mixed_covt +[Dataset] cur_step=8731 phase=D_mixed_covt 97%|███████████████████████████████ | 8731/9000 [7:40:14<11:41, 2.61s/it] +[Dataset] cur_step=8731 phase=D_mixed_covt +[Dataset] cur_step=8731 phase=D_mixed_covt +[Dataset] cur_step=8731 phase=D_mixed_covt +[Dataset] cur_step=8731 phase=D_mixed_covt + {'loss': '1.815', 'grad_norm': '13.07', 'learning_rate': '1.22e-07', 'epoch': '0.3141'} + 97%|███████████████████████████████ | 8731/9000 [7:40:14<11:41, 2.61s/it] {'lm_loss': '0.5651', 'visual_loss': '2.987', 'seg_loss': '0.8226', 'dino_loss': '0.8891', 'depth_loss': '0.221', 'vggt_mse_loss': '0.2193', 'vggt_cos_loss': '0.01768', 'pidinet_loss': '0.3198', 'siglip_loss': '0.7349', 'epoch': '0.3141'} + 97%|███████████████████████████████ | 8731/9000 [7:40:16<11:41, 2.61s/it][Dataset] cur_step=8732 phase=D_mixed_covt +[Dataset] cur_step=8732 phase=D_mixed_covt +[Dataset] cur_step=8732 phase=D_mixed_covt[Dataset] cur_step=8732 phase=D_mixed_covt + +[Dataset] cur_step=8732 phase=D_mixed_covt[Dataset] cur_step=8732 phase=D_mixed_covt + + 97%|███████████████████████████████ | 8732/9000 [7:40:17<11:15, 2.52s/it][Dataset] cur_step=8732 phase=D_mixed_covt +[Dataset] cur_step=8732 phase=D_mixed_covt + {'loss': '3.011', 'grad_norm': '6.222', 'learning_rate': '1.211e-07', 'epoch': '0.3141'} + 97%|███████████████████████████████ | 8732/9000 [7:40:17<11:15, 2.52s/it] {'lm_loss': '0.07963', 'visual_loss': '2.593', 'seg_loss': '0.5521', 'dino_loss': '0.8706', 'depth_loss': '0.1691', 'vggt_mse_loss': '0.1679', 'vggt_cos_loss': '0.01206', 'pidinet_loss': '0.1728', 'siglip_loss': '0.8288', 'epoch': '0.3141'} + 97%|███████████████████████████████ | 8732/9000 [7:40:19<11:15, 2.52s/it][Dataset] cur_step=8733 phase=D_mixed_covt +[Dataset] cur_step=8733 phase=D_mixed_covt +[Dataset] cur_step=8733 phase=D_mixed_covt + 97%|███████████████████████████████ | 8733/9000 [7:40:19<11:17, 2.54s/it][Dataset] cur_step=8733 phase=D_mixed_covt +[Dataset] cur_step=8733 phase=D_mixed_covt +[Dataset] cur_step=8733 phase=D_mixed_covt +[Dataset] cur_step=8733 phase=D_mixed_covt +[Dataset] cur_step=8733 phase=D_mixed_covt + {'loss': '3.266', 'grad_norm': '58.94', 'learning_rate': '1.202e-07', 'epoch': '0.3142'} + 97%|███████████████████████████████ | 8733/9000 [7:40:19<11:17, 2.54s/it] {'lm_loss': '0.3348', 'visual_loss': '2.799', 'seg_loss': '0.7656', 'dino_loss': '0.9136', 'depth_loss': '0.3678', 'vggt_mse_loss': '0.3648', 'vggt_cos_loss': '0.02964', 'pidinet_loss': '0.2048', 'siglip_loss': '0.5469', 'epoch': '0.3142'} + 97%|███████████████████████████████ | 8733/9000 [7:40:23<11:17, 2.54s/it][Dataset] cur_step=8734 phase=D_mixed_covt[Dataset] cur_step=8734 phase=D_mixed_covt + +[Dataset] cur_step=8734 phase=D_mixed_covt +[Dataset] cur_step=8734 phase=D_mixed_covt +[Dataset] cur_step=8734 phase=D_mixed_covt +[Dataset] cur_step=8734 phase=D_mixed_covt +[Dataset] cur_step=8734 phase=D_mixed_covt 97%|███████████████████████████████ | 8734/9000 [7:40:23<13:31, 3.05s/it] +[Dataset] cur_step=8734 phase=D_mixed_covt + {'loss': '2.935', 'grad_norm': '2.893', 'learning_rate': '1.193e-07', 'epoch': '0.3142'} + 97%|███████████████████████████████ | 8734/9000 [7:40:23<13:31, 3.05s/it] {'lm_loss': '0.3585', 'visual_loss': '2.653', 'seg_loss': '0.7826', 'dino_loss': '0.9245', 'depth_loss': '0.2048', 'vggt_mse_loss': '0.2034', 'vggt_cos_loss': '0.01447', 'pidinet_loss': '0.2519', 'siglip_loss': '0.4888', 'epoch': '0.3142'} + 97%|███████████████████████████████ | 8734/9000 [7:40:26<13:31, 3.05s/it][Dataset] cur_step=8735 phase=D_mixed_covt[Dataset] cur_step=8735 phase=D_mixed_covt + +[Dataset] cur_step=8735 phase=D_mixed_covt +[Dataset] cur_step=8735 phase=D_mixed_covt +[Dataset] cur_step=8735 phase=D_mixed_covt +[Dataset] cur_step=8735 phase=D_mixed_covt +[Dataset] cur_step=8735 phase=D_mixed_covt +[Dataset] cur_step=8735 phase=D_mixed_covt + 97%|███████████████████████████████ | 8735/9000 [7:40:27<13:51, 3.14s/it] {'loss': '3.259', 'grad_norm': '2.376', 'learning_rate': '1.184e-07', 'epoch': '0.3142'} + 97%|███████████████████████████████ | 8735/9000 [7:40:27<13:51, 3.14s/it] {'lm_loss': '1.143', 'visual_loss': '2.722', 'seg_loss': '0.7916', 'dino_loss': '0.9421', 'depth_loss': '0.2579', 'vggt_mse_loss': '0.2559', 'vggt_cos_loss': '0.01981', 'pidinet_loss': '0.2243', 'siglip_loss': '0.506', 'epoch': '0.3142'} + 97%|███████████████████████████████ | 8735/9000 [7:40:29<13:51, 3.14s/it][Dataset] cur_step=8736 phase=D_mixed_covt +[Dataset] cur_step=8736 phase=D_mixed_covt +[Dataset] cur_step=8736 phase=D_mixed_covt +[Dataset] cur_step=8736 phase=D_mixed_covt +[Dataset] cur_step=8736 phase=D_mixed_covt +[Dataset] cur_step=8736 phase=D_mixed_covt +[Dataset] cur_step=8736 phase=D_mixed_covt +[Dataset] cur_step=8736 phase=D_mixed_covt + 97%|███████████████████████████████ | 8736/9000 [7:40:29<13:11, 3.00s/it] {'loss': '3.61', 'grad_norm': '3.979', 'learning_rate': '1.175e-07', 'epoch': '0.3143'} + 97%|███████████████████████████████ | 8736/9000 [7:40:29<13:11, 3.00s/it] {'lm_loss': '0.3714', 'visual_loss': '2.281', 'seg_loss': '0.7134', 'dino_loss': '0.873', 'depth_loss': '0.1493', 'vggt_mse_loss': '0.1485', 'vggt_cos_loss': '0.008134', 'pidinet_loss': '0.1323', 'siglip_loss': '0.4134', 'epoch': '0.3143'} + 97%|███████████████████████████████ | 8736/9000 [7:40:33<13:11, 3.00s/it][Dataset] cur_step=8737 phase=D_mixed_covt +[Dataset] cur_step=8737 phase=D_mixed_covt +[Dataset] cur_step=8737 phase=D_mixed_covt +[Dataset] cur_step=8737 phase=D_mixed_covt +[Dataset] cur_step=8737 phase=D_mixed_covt +[Dataset] cur_step=8737 phase=D_mixed_covt[Dataset] cur_step=8737 phase=D_mixed_covt + + 97%|███████████████████████████████ | 8737/9000 [7:40:33<14:35, 3.33s/it][Dataset] cur_step=8737 phase=D_mixed_covt + {'loss': '3.249', 'grad_norm': '1007', 'learning_rate': '1.166e-07', 'epoch': '0.3143'} + 97%|███████████████████████████████ | 8737/9000 [7:40:33<14:35, 3.33s/it] {'lm_loss': '0.5312', 'visual_loss': '2.715', 'seg_loss': '0.7244', 'dino_loss': '0.9262', 'depth_loss': '0.2514', 'vggt_mse_loss': '0.2497', 'vggt_cos_loss': '0.01748', 'pidinet_loss': '0.219', 'siglip_loss': '0.5938', 'epoch': '0.3143'} + 97%|███████████████████████████████ | 8737/9000 [7:40:37<14:35, 3.33s/it][Dataset] cur_step=8738 phase=D_mixed_covt +[Dataset] cur_step=8738 phase=D_mixed_covt[Dataset] cur_step=8738 phase=D_mixed_covt +[Dataset] cur_step=8738 phase=D_mixed_covt + +[Dataset] cur_step=8738 phase=D_mixed_covt +[Dataset] cur_step=8738 phase=D_mixed_covt + 97%|███████████████████████████████ | 8738/9000 [7:40:38<15:36, 3.57s/it][Dataset] cur_step=8738 phase=D_mixed_covt +[Dataset] cur_step=8738 phase=D_mixed_covt + {'loss': '3.055', 'grad_norm': '2.44', 'learning_rate': '1.158e-07', 'epoch': '0.3144'} + 97%|███████████████████████████████ | 8738/9000 [7:40:38<15:36, 3.57s/it] {'lm_loss': '0.8512', 'visual_loss': '1.661', 'seg_loss': '0', 'dino_loss': '0.9476', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.1349', 'siglip_loss': '0.5782', 'epoch': '0.3144'} + 97%|███████████████████████████████ | 8738/9000 [7:40:38<15:36, 3.57s/it][Dataset] cur_step=8739 phase=D_mixed_covt +[Dataset] cur_step=8739 phase=D_mixed_covt[Dataset] cur_step=8739 phase=D_mixed_covt + +[Dataset] cur_step=8739 phase=D_mixed_covt +[Dataset] cur_step=8739 phase=D_mixed_covt[Dataset] cur_step=8739 phase=D_mixed_covt[Dataset] cur_step=8739 phase=D_mixed_covt + + + 97%|███████████████████████████████ | 8739/9000 [7:40:39<12:33, 2.89s/it][Dataset] cur_step=8739 phase=D_mixed_covt + {'loss': '2.573', 'grad_norm': '2.899', 'learning_rate': '1.149e-07', 'epoch': '0.3144'} + 97%|███████████████████████████████ | 8739/9000 [7:40:39<12:33, 2.89s/it] {'lm_loss': '0.4371', 'visual_loss': '2.432', 'seg_loss': '0.7418', 'dino_loss': '0.9293', 'depth_loss': '0.1958', 'vggt_mse_loss': '0.1945', 'vggt_cos_loss': '0.01322', 'pidinet_loss': '0', 'siglip_loss': '0.5647', 'epoch': '0.3144'} + 97%|███████████████████████████████ | 8739/9000 [7:40:42<12:33, 2.89s/it][Dataset] cur_step=8740 phase=D_mixed_covt +[Dataset] cur_step=8740 phase=D_mixed_covt +[Dataset] cur_step=8740 phase=D_mixed_covt +[Dataset] cur_step=8740 phase=D_mixed_covt[Dataset] cur_step=8740 phase=D_mixed_covt + +[Dataset] cur_step=8740 phase=D_mixed_covt +[Dataset] cur_step=8740 phase=D_mixed_covt +[Dataset] cur_step=8740 phase=D_mixed_covt + 97%|███████████████████████████████ | 8740/9000 [7:40:42<13:17, 3.07s/it] {'loss': '2.883', 'grad_norm': '3.836', 'learning_rate': '1.14e-07', 'epoch': '0.3144'} + 97%|███████████████████████████████ | 8740/9000 [7:40:42<13:17, 3.07s/it] {'lm_loss': '0.6432', 'visual_loss': '2.723', 'seg_loss': '0.7782', 'dino_loss': '0.934', 'depth_loss': '0.2002', 'vggt_mse_loss': '0.1984', 'vggt_cos_loss': '0.01798', 'pidinet_loss': '0.251', 'siglip_loss': '0.5598', 'epoch': '0.3144'} + 97%|███████████████████████████████ | 8740/9000 [7:40:45<13:17, 3.07s/it][Dataset] cur_step=8741 phase=D_mixed_covt +[Dataset] cur_step=8741 phase=D_mixed_covt +[Dataset] cur_step=8741 phase=D_mixed_covt[Dataset] cur_step=8741 phase=D_mixed_covt + +[Dataset] cur_step=8741 phase=D_mixed_covt + 97%|███████████████████████████████ | 8741/9000 [7:40:46<13:56, 3.23s/it][Dataset] cur_step=8741 phase=D_mixed_covt[Dataset] cur_step=8741 phase=D_mixed_covt + +[Dataset] cur_step=8741 phase=D_mixed_covt + {'loss': '3.311', 'grad_norm': '1.614', 'learning_rate': '1.131e-07', 'epoch': '0.3145'} + 97%|███████████████████████████████ | 8741/9000 [7:40:46<13:56, 3.23s/it] {'lm_loss': '0.05956', 'visual_loss': '2.587', 'seg_loss': '0.8019', 'dino_loss': '0.9224', 'depth_loss': '0.1934', 'vggt_mse_loss': '0.1919', 'vggt_cos_loss': '0.015', 'pidinet_loss': '0.1992', 'siglip_loss': '0.4699', 'epoch': '0.3145'} + 97%|███████████████████████████████ | 8741/9000 [7:40:49<13:56, 3.23s/it][Dataset] cur_step=8742 phase=D_mixed_covt[Dataset] cur_step=8742 phase=D_mixed_covt + +[Dataset] cur_step=8742 phase=D_mixed_covt +[Dataset] cur_step=8742 phase=D_mixed_covt +[Dataset] cur_step=8742 phase=D_mixed_covt +[Dataset] cur_step=8742 phase=D_mixed_covt +[Dataset] cur_step=8742 phase=D_mixed_covt +[Dataset] cur_step=8742 phase=D_mixed_covt + 97%|███████████████████████████████ | 8742/9000 [7:40:49<13:45, 3.20s/it] {'loss': '3.113', 'grad_norm': '2.491', 'learning_rate': '1.123e-07', 'epoch': '0.3145'} + 97%|███████████████████████████████ | 8742/9000 [7:40:49<13:45, 3.20s/it] {'lm_loss': '0.8155', 'visual_loss': '2.809', 'seg_loss': '0.8304', 'dino_loss': '0.927', 'depth_loss': '0.5081', 'vggt_mse_loss': '0.5055', 'vggt_cos_loss': '0.02622', 'pidinet_loss': '0.2079', 'siglip_loss': '0.3354', 'epoch': '0.3145'} + 97%|███████████████████████████████ | 8742/9000 [7:40:51<13:45, 3.20s/it][Dataset] cur_step=8743 phase=D_mixed_covt +[Dataset] cur_step=8743 phase=D_mixed_covt[Dataset] cur_step=8743 phase=D_mixed_covt[Dataset] cur_step=8743 phase=D_mixed_covt[Dataset] cur_step=8743 phase=D_mixed_covt[Dataset] cur_step=8743 phase=D_mixed_covt + + + + + 97%|███████████████████████████████ | 8743/9000 [7:40:51<12:01, 2.81s/it][Dataset] cur_step=8743 phase=D_mixed_covt +[Dataset] cur_step=8743 phase=D_mixed_covt + {'loss': '3.617', 'grad_norm': '4.077', 'learning_rate': '1.114e-07', 'epoch': '0.3145'} + 97%|███████████████████████████████ | 8743/9000 [7:40:51<12:01, 2.81s/it] {'lm_loss': '0.6795', 'visual_loss': '2.654', 'seg_loss': '0.8682', 'dino_loss': '0.8817', 'depth_loss': '0.2428', 'vggt_mse_loss': '0.2408', 'vggt_cos_loss': '0.01963', 'pidinet_loss': '0.2555', 'siglip_loss': '0.4058', 'epoch': '0.3145'} + 97%|███████████████████████████████ | 8743/9000 [7:40:53<12:01, 2.81s/it][Dataset] cur_step=8744 phase=D_mixed_covt +[Dataset] cur_step=8744 phase=D_mixed_covt +[Dataset] cur_step=8744 phase=D_mixed_covt +[Dataset] cur_step=8744 phase=D_mixed_covt +[Dataset] cur_step=8744 phase=D_mixed_covt +[Dataset] cur_step=8744 phase=D_mixed_covt[Dataset] cur_step=8744 phase=D_mixed_covt + +[Dataset] cur_step=8744 phase=D_mixed_covt + 97%|███████████████████████████████ | 8744/9000 [7:40:54<12:30, 2.93s/it] {'loss': '3.241', 'grad_norm': '5.894', 'learning_rate': '1.105e-07', 'epoch': '0.3146'} + 97%|███████████████████████████████ | 8744/9000 [7:40:54<12:30, 2.93s/it] {'lm_loss': '0.7415', 'visual_loss': '2.096', 'seg_loss': '0.6027', 'dino_loss': '0.8836', 'depth_loss': '0.1657', 'vggt_mse_loss': '0.165', 'vggt_cos_loss': '0.006467', 'pidinet_loss': '0.1035', 'siglip_loss': '0.3407', 'epoch': '0.3146'} + 97%|███████████████████████████████ | 8744/9000 [7:40:56<12:30, 2.93s/it][Dataset] cur_step=8745 phase=D_mixed_covt +[Dataset] cur_step=8745 phase=D_mixed_covt +[Dataset] cur_step=8745 phase=D_mixed_covt[Dataset] cur_step=8745 phase=D_mixed_covt + +[Dataset] cur_step=8745 phase=D_mixed_covt +[Dataset] cur_step=8745 phase=D_mixed_covt + 97%|███████████████████████████████ | 8745/9000 [7:40:57<12:03, 2.84s/it][Dataset] cur_step=8745 phase=D_mixed_covt +[Dataset] cur_step=8745 phase=D_mixed_covt + {'loss': '3.158', 'grad_norm': '2.697', 'learning_rate': '1.097e-07', 'epoch': '0.3146'} + 97%|███████████████████████████████ | 8745/9000 [7:40:57<12:03, 2.84s/it] {'lm_loss': '1.035', 'visual_loss': '2.387', 'seg_loss': '0.4811', 'dino_loss': '0.9083', 'depth_loss': '0.2122', 'vggt_mse_loss': '0.2107', 'vggt_cos_loss': '0.01552', 'pidinet_loss': '0.2912', 'siglip_loss': '0.4944', 'epoch': '0.3146'} + 97%|███████████████████████████████ | 8745/9000 [7:40:59<12:03, 2.84s/it][Dataset] cur_step=8746 phase=D_mixed_covt +[Dataset] cur_step=8746 phase=D_mixed_covt +[Dataset] cur_step=8746 phase=D_mixed_covt + 97%|███████████████████████████████ | 8746/9000 [7:40:59<11:33, 2.73s/it][Dataset] cur_step=8746 phase=D_mixed_covt[Dataset] cur_step=8746 phase=D_mixed_covt + +[Dataset] cur_step=8746 phase=D_mixed_covt +[Dataset] cur_step=8746 phase=D_mixed_covt +[Dataset] cur_step=8746 phase=D_mixed_covt + {'loss': '3.358', 'grad_norm': '2.403', 'learning_rate': '1.088e-07', 'epoch': '0.3146'} + 97%|███████████████████████████████ | 8746/9000 [7:40:59<11:33, 2.73s/it] {'lm_loss': '0.4146', 'visual_loss': '2.577', 'seg_loss': '0.5403', 'dino_loss': '0.9237', 'depth_loss': '0.2296', 'vggt_mse_loss': '0.2278', 'vggt_cos_loss': '0.01721', 'pidinet_loss': '0.236', 'siglip_loss': '0.6476', 'epoch': '0.3146'} + 97%|███████████████████████████████ | 8746/9000 [7:41:01<11:33, 2.73s/it][Dataset] cur_step=8747 phase=D_mixed_covt[Dataset] cur_step=8747 phase=D_mixed_covt + +[Dataset] cur_step=8747 phase=D_mixed_covt +[Dataset] cur_step=8747 phase=D_mixed_covt +[Dataset] cur_step=8747 phase=D_mixed_covt +[Dataset] cur_step=8747 phase=D_mixed_covt + 97%|███████████████████████████████ | 8747/9000 [7:41:01<10:21, 2.46s/it][Dataset] cur_step=8747 phase=D_mixed_covt +[Dataset] cur_step=8747 phase=D_mixed_covt + {'loss': '3.186', 'grad_norm': '3.875', 'learning_rate': '1.079e-07', 'epoch': '0.3147'} + 97%|███████████████████████████████ | 8747/9000 [7:41:01<10:21, 2.46s/it] {'lm_loss': '0.4631', 'visual_loss': '2.313', 'seg_loss': '0.5511', 'dino_loss': '0.8478', 'depth_loss': '0.1253', 'vggt_mse_loss': '0.1246', 'vggt_cos_loss': '0.006829', 'pidinet_loss': '0.2603', 'siglip_loss': '0.528', 'epoch': '0.3147'} + 97%|███████████████████████████████ | 8747/9000 [7:41:04<10:21, 2.46s/it][Dataset] cur_step=8748 phase=D_mixed_covt +[Dataset] cur_step=8748 phase=D_mixed_covt +[Dataset] cur_step=8748 phase=D_mixed_covt +[Dataset] cur_step=8748 phase=D_mixed_covt +[Dataset] cur_step=8748 phase=D_mixed_covt +[Dataset] cur_step=8748 phase=D_mixed_covt[Dataset] cur_step=8748 phase=D_mixed_covt + + 97%|███████████████████████████████ | 8748/9000 [7:41:05<11:39, 2.77s/it][Dataset] cur_step=8748 phase=D_mixed_covt + {'loss': '3.108', 'grad_norm': '2.354', 'learning_rate': '1.071e-07', 'epoch': '0.3147'} + 97%|███████████████████████████████ | 8748/9000 [7:41:05<11:39, 2.77s/it] {'lm_loss': '0.6877', 'visual_loss': '1.132', 'seg_loss': '0', 'dino_loss': '0.8826', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2496', 'siglip_loss': '0', 'epoch': '0.3147'} + 97%|███████████████████████████████ | 8748/9000 [7:41:05<11:39, 2.77s/it][Dataset] cur_step=8749 phase=D_mixed_covt +[Dataset] cur_step=8749 phase=D_mixed_covt +[Dataset] cur_step=8749 phase=D_mixed_covt +[Dataset] cur_step=8749 phase=D_mixed_covt[Dataset] cur_step=8749 phase=D_mixed_covt + + 97%|███████████████████████████████ | 8749/9000 [7:41:05<09:09, 2.19s/it][Dataset] cur_step=8749 phase=D_mixed_covt +[Dataset] cur_step=8749 phase=D_mixed_covt[Dataset] cur_step=8749 phase=D_mixed_covt + + {'loss': '1.861', 'grad_norm': '2.907', 'learning_rate': '1.062e-07', 'epoch': '0.3147'} + 97%|███████████████████████████████ | 8749/9000 [7:41:05<09:09, 2.19s/it] {'lm_loss': '0.4722', 'visual_loss': '2.535', 'seg_loss': '0.7257', 'dino_loss': '0.8851', 'depth_loss': '0.2468', 'vggt_mse_loss': '0.2455', 'vggt_cos_loss': '0.01352', 'pidinet_loss': '0.2232', 'siglip_loss': '0.4541', 'epoch': '0.3147'} + 97%|███████████████████████████████ | 8749/9000 [7:41:08<09:09, 2.19s/it][Dataset] cur_step=8750 phase=D_mixed_covt +[Dataset] cur_step=8750 phase=D_mixed_covt[Dataset] cur_step=8750 phase=D_mixed_covt + +[Dataset] cur_step=8750 phase=D_mixed_covt +[Dataset] cur_step=8750 phase=D_mixed_covt +[Dataset] cur_step=8750 phase=D_mixed_covt + 97%|███████████████████████████████ | 8750/9000 [7:41:09<10:47, 2.59s/it][Dataset] cur_step=8750 phase=D_mixed_covt +[Dataset] cur_step=8750 phase=D_mixed_covt + {'loss': '2.868', 'grad_norm': '2.166', 'learning_rate': '1.054e-07', 'epoch': '0.3148'} + 97%|███████████████████████████████ | 8750/9000 [7:41:09<10:47, 2.59s/it] {'lm_loss': '0.3814', 'visual_loss': '2.789', 'seg_loss': '0.9297', 'dino_loss': '0.9194', 'depth_loss': '0.2398', 'vggt_mse_loss': '0.2379', 'vggt_cos_loss': '0.01871', 'pidinet_loss': '0.2241', 'siglip_loss': '0.4762', 'epoch': '0.3148'} + 97%|███████████████████████████████ | 8750/9000 [7:41:11<10:47, 2.59s/it][Dataset] cur_step=8751 phase=D_mixed_covt +[Dataset] cur_step=8751 phase=D_mixed_covt +[Dataset] cur_step=8751 phase=D_mixed_covt +[Dataset] cur_step=8751 phase=D_mixed_covt + 97%|███████████████████████████████ | 8751/9000 [7:41:12<11:21, 2.74s/it][Dataset] cur_step=8751 phase=D_mixed_covt +[Dataset] cur_step=8751 phase=D_mixed_covt +[Dataset] cur_step=8751 phase=D_mixed_covt +[Dataset] cur_step=8751 phase=D_mixed_covt + {'loss': '3.251', 'grad_norm': '7.245', 'learning_rate': '1.046e-07', 'epoch': '0.3148'} + 97%|███████████████████████████████ | 8751/9000 [7:41:12<11:21, 2.74s/it] {'lm_loss': '0.05779', 'visual_loss': '1.964', 'seg_loss': '0.6358', 'dino_loss': '0.904', 'depth_loss': '0.1509', 'vggt_mse_loss': '0.1501', 'vggt_cos_loss': '0.007352', 'pidinet_loss': '0.1271', 'siglip_loss': '0.146', 'epoch': '0.3148'} + 97%|███████████████████████████████ | 8751/9000 [7:41:15<11:21, 2.74s/it][Dataset] cur_step=8752 phase=D_mixed_covt +[Dataset] cur_step=8752 phase=D_mixed_covt +[Dataset] cur_step=8752 phase=D_mixed_covt +[Dataset] cur_step=8752 phase=D_mixed_covt + 97%|███████████████████████████████ | 8752/9000 [7:41:16<12:14, 2.96s/it][Dataset] cur_step=8752 phase=D_mixed_covt +[Dataset] cur_step=8752 phase=D_mixed_covt +[Dataset] cur_step=8752 phase=D_mixed_covt +[Dataset] cur_step=8752 phase=D_mixed_covt + {'loss': '3.029', 'grad_norm': '2.435', 'learning_rate': '1.037e-07', 'epoch': '0.3149'} + 97%|███████████████████████████████ | 8752/9000 [7:41:16<12:14, 2.96s/it] {'lm_loss': '0.6881', 'visual_loss': '2.219', 'seg_loss': '0.8944', 'dino_loss': '0.8994', 'depth_loss': '0.2386', 'vggt_mse_loss': '0.2364', 'vggt_cos_loss': '0.02218', 'pidinet_loss': '0.1863', 'siglip_loss': '0', 'epoch': '0.3149'} + 97%|███████████████████████████████ | 8752/9000 [7:41:18<12:14, 2.96s/it][Dataset] cur_step=8753 phase=D_mixed_covt +[Dataset] cur_step=8753 phase=D_mixed_covt[Dataset] cur_step=8753 phase=D_mixed_covt + +[Dataset] cur_step=8753 phase=D_mixed_covt +[Dataset] cur_step=8753 phase=D_mixed_covt[Dataset] cur_step=8753 phase=D_mixed_covt + +[Dataset] cur_step=8753 phase=D_mixed_covt +[Dataset] cur_step=8753 phase=D_mixed_covt + 97%|███████████████████████████████ | 8753/9000 [7:41:18<11:48, 2.87s/it] {'loss': '2.421', 'grad_norm': '5.787', 'learning_rate': '1.029e-07', 'epoch': '0.3149'} + 97%|███████████████████████████████ | 8753/9000 [7:41:18<11:48, 2.87s/it] {'lm_loss': '0.6246', 'visual_loss': '2.465', 'seg_loss': '0.6439', 'dino_loss': '0.9212', 'depth_loss': '0.2342', 'vggt_mse_loss': '0.2326', 'vggt_cos_loss': '0.01525', 'pidinet_loss': '0.2635', 'siglip_loss': '0.4027', 'epoch': '0.3149'} + 97%|███████████████████████████████ | 8753/9000 [7:41:20<11:48, 2.87s/it][Dataset] cur_step=8754 phase=D_mixed_covt[Dataset] cur_step=8754 phase=D_mixed_covt + +[Dataset] cur_step=8754 phase=D_mixed_covt[Dataset] cur_step=8754 phase=D_mixed_covt + + 97%|███████████████████████████████▏| 8754/9000 [7:41:21<11:54, 2.90s/it][Dataset] cur_step=8754 phase=D_mixed_covt +[Dataset] cur_step=8754 phase=D_mixed_covt[Dataset] cur_step=8754 phase=D_mixed_covt + +[Dataset] cur_step=8754 phase=D_mixed_covt + {'loss': '3.225', 'grad_norm': '3.245', 'learning_rate': '1.021e-07', 'epoch': '0.3149'} + 97%|███████████████████████████████▏| 8754/9000 [7:41:21<11:54, 2.90s/it] {'lm_loss': '0.6005', 'visual_loss': '2.246', 'seg_loss': '0.7819', 'dino_loss': '0.9579', 'depth_loss': '0.1699', 'vggt_mse_loss': '0.1688', 'vggt_cos_loss': '0.01103', 'pidinet_loss': '0.3359', 'siglip_loss': '0', 'epoch': '0.3149'} + 97%|███████████████████████████████▏| 8754/9000 [7:41:23<11:54, 2.90s/it][Dataset] cur_step=8755 phase=D_mixed_covt +[Dataset] cur_step=8755 phase=D_mixed_covt +[Dataset] cur_step=8755 phase=D_mixed_covt + 97%|███████████████████████████████▏| 8755/9000 [7:41:24<11:42, 2.87s/it][Dataset] cur_step=8755 phase=D_mixed_covt +[Dataset] cur_step=8755 phase=D_mixed_covt +[Dataset] cur_step=8755 phase=D_mixed_covt +[Dataset] cur_step=8755 phase=D_mixed_covt +[Dataset] cur_step=8755 phase=D_mixed_covt + {'loss': '2.704', 'grad_norm': '3.403', 'learning_rate': '1.012e-07', 'epoch': '0.315'} + 97%|███████████████████████████████▏| 8755/9000 [7:41:24<11:42, 2.87s/it] {'lm_loss': '0.8828', 'visual_loss': '2.618', 'seg_loss': '0.6807', 'dino_loss': '0.9024', 'depth_loss': '0.2882', 'vggt_mse_loss': '0.2863', 'vggt_cos_loss': '0.01853', 'pidinet_loss': '0.2608', 'siglip_loss': '0.4861', 'epoch': '0.315'} + 97%|███████████████████████████████▏| 8755/9000 [7:41:26<11:42, 2.87s/it][Dataset] cur_step=8756 phase=D_mixed_covt +[Dataset] cur_step=8756 phase=D_mixed_covt[Dataset] cur_step=8756 phase=D_mixed_covt +[Dataset] cur_step=8756 phase=D_mixed_covt + +[Dataset] cur_step=8756 phase=D_mixed_covt[Dataset] cur_step=8756 phase=D_mixed_covt[Dataset] cur_step=8756 phase=D_mixed_covt + + +[Dataset] cur_step=8756 phase=D_mixed_covt + 97%|███████████████████████████████▏| 8756/9000 [7:41:27<12:00, 2.95s/it] {'loss': '3.237', 'grad_norm': '3.271', 'learning_rate': '1.004e-07', 'epoch': '0.315'} + 97%|███████████████████████████████▏| 8756/9000 [7:41:27<12:00, 2.95s/it] {'lm_loss': '0.58', 'visual_loss': '2.662', 'seg_loss': '0.8373', 'dino_loss': '0.9114', 'depth_loss': '0.2673', 'vggt_mse_loss': '0.2652', 'vggt_cos_loss': '0.02149', 'pidinet_loss': '0.2056', 'siglip_loss': '0.44', 'epoch': '0.315'} + 97%|███████████████████████████████▏| 8756/9000 [7:41:29<12:00, 2.95s/it][Dataset] cur_step=8757 phase=D_mixed_covt +[Dataset] cur_step=8757 phase=D_mixed_covt +[Dataset] cur_step=8757 phase=D_mixed_covt +[Dataset] cur_step=8757 phase=D_mixed_covt +[Dataset] cur_step=8757 phase=D_mixed_covt +[Dataset] cur_step=8757 phase=D_mixed_covt +[Dataset] cur_step=8757 phase=D_mixed_covt +[Dataset] cur_step=8757 phase=D_mixed_covt + 97%|███████████████████████████████▏| 8757/9000 [7:41:30<11:36, 2.87s/it] {'loss': '3.465', 'grad_norm': '1.699', 'learning_rate': '9.959e-08', 'epoch': '0.315'} + 97%|███████████████████████████████▏| 8757/9000 [7:41:30<11:36, 2.87s/it] {'lm_loss': '0.7763', 'visual_loss': '2.542', 'seg_loss': '0.7674', 'dino_loss': '0.9281', 'depth_loss': '0.2886', 'vggt_mse_loss': '0.2867', 'vggt_cos_loss': '0.01937', 'pidinet_loss': '0.2098', 'siglip_loss': '0.3481', 'epoch': '0.315'} + 97%|███████████████████████████████▏| 8757/9000 [7:41:32<11:36, 2.87s/it][Dataset] cur_step=8758 phase=D_mixed_covt +[Dataset] cur_step=8758 phase=D_mixed_covt +[Dataset] cur_step=8758 phase=D_mixed_covt + 97%|███████████████████████████████▏| 8758/9000 [7:41:32<11:02, 2.74s/it][Dataset] cur_step=8758 phase=D_mixed_covt[Dataset] cur_step=8758 phase=D_mixed_covt + +[Dataset] cur_step=8758 phase=D_mixed_covt[Dataset] cur_step=8758 phase=D_mixed_covt + +[Dataset] cur_step=8758 phase=D_mixed_covt + {'loss': '3.208', 'grad_norm': '4.56', 'learning_rate': '9.877e-08', 'epoch': '0.3151'} + 97%|███████████████████████████████▏| 8758/9000 [7:41:32<11:02, 2.74s/it] {'lm_loss': '0.8499', 'visual_loss': '2.655', 'seg_loss': '0.621', 'dino_loss': '0.9365', 'depth_loss': '0.2294', 'vggt_mse_loss': '0.2279', 'vggt_cos_loss': '0.01552', 'pidinet_loss': '0.2381', 'siglip_loss': '0.63', 'epoch': '0.3151'} + 97%|███████████████████████████████▏| 8758/9000 [7:41:35<11:02, 2.74s/it][Dataset] cur_step=8759 phase=D_mixed_covt +[Dataset] cur_step=8759 phase=D_mixed_covt +[Dataset] cur_step=8759 phase=D_mixed_covt + 97%|███████████████████████████████▏| 8759/9000 [7:41:36<11:50, 2.95s/it][Dataset] cur_step=8759 phase=D_mixed_covt[Dataset] cur_step=8759 phase=D_mixed_covt + +[Dataset] cur_step=8759 phase=D_mixed_covt[Dataset] cur_step=8759 phase=D_mixed_covt + +[Dataset] cur_step=8759 phase=D_mixed_covt + {'loss': '3.005', 'grad_norm': '3.253', 'learning_rate': '9.796e-08', 'epoch': '0.3151'} + 97%|███████████████████████████████▏| 8759/9000 [7:41:36<11:50, 2.95s/it] {'lm_loss': '0.09838', 'visual_loss': '2.776', 'seg_loss': '0.848', 'dino_loss': '0.933', 'depth_loss': '0.282', 'vggt_mse_loss': '0.2798', 'vggt_cos_loss': '0.02194', 'pidinet_loss': '0.2456', 'siglip_loss': '0.4678', 'epoch': '0.3151'} + 97%|███████████████████████████████▏| 8759/9000 [7:41:37<11:50, 2.95s/it][Dataset] cur_step=8760 phase=D_mixed_covt +[Dataset] cur_step=8760 phase=D_mixed_covt +[Dataset] cur_step=8760 phase=D_mixed_covt +[Dataset] cur_step=8760 phase=D_mixed_covt +[Dataset] cur_step=8760 phase=D_mixed_covt[Dataset] cur_step=8760 phase=D_mixed_covt + +[Dataset] cur_step=8760 phase=D_mixed_covt +[Dataset] cur_step=8760 phase=D_mixed_covt + 97%|███████████████████████████████▏| 8760/9000 [7:41:38<11:19, 2.83s/it] {'loss': '2.996', 'grad_norm': '2.529', 'learning_rate': '9.714e-08', 'epoch': '0.3151'} + 97%|███████████████████████████████▏| 8760/9000 [7:41:38<11:19, 2.83s/it] {'lm_loss': '0.0749', 'visual_loss': '2.588', 'seg_loss': '0.6588', 'dino_loss': '0.8962', 'depth_loss': '0.1964', 'vggt_mse_loss': '0.1951', 'vggt_cos_loss': '0.0135', 'pidinet_loss': '0.2879', 'siglip_loss': '0.5488', 'epoch': '0.3151'} + 97%|███████████████████████████████▏| 8760/9000 [7:41:40<11:19, 2.83s/it][Dataset] cur_step=8761 phase=D_mixed_covt +[Dataset] cur_step=8761 phase=D_mixed_covt +[Dataset] cur_step=8761 phase=D_mixed_covt[Dataset] cur_step=8761 phase=D_mixed_covt[Dataset] cur_step=8761 phase=D_mixed_covt + + +[Dataset] cur_step=8761 phase=D_mixed_covt +[Dataset] cur_step=8761 phase=D_mixed_covt +[Dataset] cur_step=8761 phase=D_mixed_covt + 97%|███████████████████████████████▏| 8761/9000 [7:41:41<10:34, 2.65s/it] {'loss': '3.122', 'grad_norm': '6.209', 'learning_rate': '9.634e-08', 'epoch': '0.3152'} + 97%|███████████████████████████████▏| 8761/9000 [7:41:41<10:34, 2.65s/it] {'lm_loss': '0.3179', 'visual_loss': '2.838', 'seg_loss': '0.8336', 'dino_loss': '0.9439', 'depth_loss': '0.4099', 'vggt_mse_loss': '0.4069', 'vggt_cos_loss': '0.02971', 'pidinet_loss': '0.2351', 'siglip_loss': '0.4154', 'epoch': '0.3152'} + 97%|███████████████████████████████▏| 8761/9000 [7:41:43<10:34, 2.65s/it][Dataset] cur_step=8762 phase=D_mixed_covt +[Dataset] cur_step=8762 phase=D_mixed_covt[Dataset] cur_step=8762 phase=D_mixed_covt + +[Dataset] cur_step=8762 phase=D_mixed_covt +[Dataset] cur_step=8762 phase=D_mixed_covt +[Dataset] cur_step=8762 phase=D_mixed_covt +[Dataset] cur_step=8762 phase=D_mixed_covt +[Dataset] cur_step=8762 phase=D_mixed_covt + 97%|███████████████████████████████▏| 8762/9000 [7:41:44<11:33, 2.92s/it] {'loss': '3.131', 'grad_norm': '10.72', 'learning_rate': '9.553e-08', 'epoch': '0.3152'} + 97%|███████████████████████████████▏| 8762/9000 [7:41:44<11:33, 2.92s/it] {'lm_loss': '0.8498', 'visual_loss': '2.691', 'seg_loss': '0.7691', 'dino_loss': '0.9113', 'depth_loss': '0.2265', 'vggt_mse_loss': '0.2247', 'vggt_cos_loss': '0.01771', 'pidinet_loss': '0.2288', 'siglip_loss': '0.5549', 'epoch': '0.3152'} + 97%|███████████████████████████████▏| 8762/9000 [7:41:46<11:33, 2.92s/it][Dataset] cur_step=8763 phase=D_mixed_covt +[Dataset] cur_step=8763 phase=D_mixed_covt +[Dataset] cur_step=8763 phase=D_mixed_covt[Dataset] cur_step=8763 phase=D_mixed_covt[Dataset] cur_step=8763 phase=D_mixed_covt + + + 97%|███████████████████████████████▏| 8763/9000 [7:41:47<11:12, 2.84s/it][Dataset] cur_step=8763 phase=D_mixed_covt +[Dataset] cur_step=8763 phase=D_mixed_covt +[Dataset] cur_step=8763 phase=D_mixed_covt + {'loss': '3.189', 'grad_norm': '6.97', 'learning_rate': '9.473e-08', 'epoch': '0.3152'} + 97%|███████████████████████████████▏| 8763/9000 [7:41:47<11:12, 2.84s/it] {'lm_loss': '0.8028', 'visual_loss': '2.576', 'seg_loss': '0.6597', 'dino_loss': '0.9077', 'depth_loss': '0.2199', 'vggt_mse_loss': '0.2183', 'vggt_cos_loss': '0.01677', 'pidinet_loss': '0.2392', 'siglip_loss': '0.5493', 'epoch': '0.3152'} + 97%|███████████████████████████████▏| 8763/9000 [7:41:49<11:12, 2.84s/it][Dataset] cur_step=8764 phase=D_mixed_covt +[Dataset] cur_step=8764 phase=D_mixed_covt +[Dataset] cur_step=8764 phase=D_mixed_covt +[Dataset] cur_step=8764 phase=D_mixed_covt[Dataset] cur_step=8764 phase=D_mixed_covt + +[Dataset] cur_step=8764 phase=D_mixed_covt +[Dataset] cur_step=8764 phase=D_mixed_covt +[Dataset] cur_step=8764 phase=D_mixed_covt + 97%|███████████████████████████████▏| 8764/9000 [7:41:50<11:52, 3.02s/it] {'loss': '3.28', 'grad_norm': '14.93', 'learning_rate': '9.394e-08', 'epoch': '0.3153'} + 97%|███████████████████████████████▏| 8764/9000 [7:41:50<11:52, 3.02s/it] {'lm_loss': '0.4567', 'visual_loss': '2.2', 'seg_loss': '0.5847', 'dino_loss': '0.8777', 'depth_loss': '0.2065', 'vggt_mse_loss': '0.2057', 'vggt_cos_loss': '0.008412', 'pidinet_loss': '0.1832', 'siglip_loss': '0.348', 'epoch': '0.3153'} + 97%|███████████████████████████████▏| 8764/9000 [7:41:52<11:52, 3.02s/it][Dataset] cur_step=8765 phase=D_mixed_covt +[Dataset] cur_step=8765 phase=D_mixed_covt +[Dataset] cur_step=8765 phase=D_mixed_covt[Dataset] cur_step=8765 phase=D_mixed_covt + +[Dataset] cur_step=8765 phase=D_mixed_covt[Dataset] cur_step=8765 phase=D_mixed_covt + +[Dataset] cur_step=8765 phase=D_mixed_covt +[Dataset] cur_step=8765 phase=D_mixed_covt + 97%|███████████████████████████████▏| 8765/9000 [7:41:55<14:00, 3.58s/it] {'loss': '2.914', 'grad_norm': '2.37', 'learning_rate': '9.314e-08', 'epoch': '0.3153'} + 97%|███████████████████████████████▏| 8765/9000 [7:41:55<14:00, 3.58s/it] {'lm_loss': '0.6908', 'visual_loss': '2.525', 'seg_loss': '0.6245', 'dino_loss': '0.9408', 'depth_loss': '0.2091', 'vggt_mse_loss': '0.2075', 'vggt_cos_loss': '0.01602', 'pidinet_loss': '0.261', 'siglip_loss': '0.49', 'epoch': '0.3153'} + 97%|███████████████████████████████▏| 8765/9000 [7:41:58<14:00, 3.58s/it][Dataset] cur_step=8766 phase=D_mixed_covt +[Dataset] cur_step=8766 phase=D_mixed_covt +[Dataset] cur_step=8766 phase=D_mixed_covt[Dataset] cur_step=8766 phase=D_mixed_covt[Dataset] cur_step=8766 phase=D_mixed_covt[Dataset] cur_step=8766 phase=D_mixed_covt + + +[Dataset] cur_step=8766 phase=D_mixed_covt +[Dataset] cur_step=8766 phase=D_mixed_covt + + 97%|███████████████████████████████▏| 8766/9000 [7:41:58<13:38, 3.50s/it] {'loss': '3.294', 'grad_norm': '3.048', 'learning_rate': '9.235e-08', 'epoch': '0.3154'} + 97%|███████████████████████████████▏| 8766/9000 [7:41:58<13:38, 3.50s/it] {'lm_loss': '0.1158', 'visual_loss': '2.769', 'seg_loss': '0.7591', 'dino_loss': '0.9369', 'depth_loss': '0.2213', 'vggt_mse_loss': '0.2196', 'vggt_cos_loss': '0.01659', 'pidinet_loss': '0.2506', 'siglip_loss': '0.6012', 'epoch': '0.3154'} + 97%|███████████████████████████████▏| 8766/9000 [7:42:00<13:38, 3.50s/it][Dataset] cur_step=8767 phase=D_mixed_covt[Dataset] cur_step=8767 phase=D_mixed_covt + +[Dataset] cur_step=8767 phase=D_mixed_covt +[Dataset] cur_step=8767 phase=D_mixed_covt[Dataset] cur_step=8767 phase=D_mixed_covt + +[Dataset] cur_step=8767 phase=D_mixed_covt[Dataset] cur_step=8767 phase=D_mixed_covt + + 97%|███████████████████████████████▏| 8767/9000 [7:42:01<12:50, 3.31s/it][Dataset] cur_step=8767 phase=D_mixed_covt + {'loss': '3.24', 'grad_norm': '5.687', 'learning_rate': '9.156e-08', 'epoch': '0.3154'} + 97%|███████████████████████████████▏| 8767/9000 [7:42:01<12:50, 3.31s/it] {'lm_loss': '0.1586', 'visual_loss': '2.518', 'seg_loss': '0.5883', 'dino_loss': '0.9593', 'depth_loss': '0.2649', 'vggt_mse_loss': '0.2631', 'vggt_cos_loss': '0.01758', 'pidinet_loss': '0.2732', 'siglip_loss': '0.4318', 'epoch': '0.3154'} + 97%|███████████████████████████████▏| 8767/9000 [7:42:02<12:50, 3.31s/it][Dataset] cur_step=8768 phase=D_mixed_covt +[Dataset] cur_step=8768 phase=D_mixed_covt +[Dataset] cur_step=8768 phase=D_mixed_covt[Dataset] cur_step=8768 phase=D_mixed_covt + +[Dataset] cur_step=8768 phase=D_mixed_covt +[Dataset] cur_step=8768 phase=D_mixed_covt +[Dataset] cur_step=8768 phase=D_mixed_covt + 97%|███████████████████████████████▏| 8768/9000 [7:42:03<11:25, 2.95s/it][Dataset] cur_step=8768 phase=D_mixed_covt + {'loss': '3.275', 'grad_norm': '3.463', 'learning_rate': '9.078e-08', 'epoch': '0.3154'} + 97%|███████████████████████████████▏| 8768/9000 [7:42:03<11:25, 2.95s/it] {'lm_loss': '1.916', 'visual_loss': '2.942', 'seg_loss': '0.8076', 'dino_loss': '0.8964', 'depth_loss': '0.133', 'vggt_mse_loss': '0.1323', 'vggt_cos_loss': '0.007427', 'pidinet_loss': '0.2474', 'siglip_loss': '0.8579', 'epoch': '0.3154'} + 97%|███████████████████████████████▏| 8768/9000 [7:42:05<11:25, 2.95s/it][Dataset] cur_step=8769 phase=D_mixed_covt +[Dataset] cur_step=8769 phase=D_mixed_covt +[Dataset] cur_step=8769 phase=D_mixed_covt +[Dataset] cur_step=8769 phase=D_mixed_covt[Dataset] cur_step=8769 phase=D_mixed_covt + +[Dataset] cur_step=8769 phase=D_mixed_covt[Dataset] cur_step=8769 phase=D_mixed_covt + + 97%|███████████████████████████████▏| 8769/9000 [7:42:06<10:58, 2.85s/it][Dataset] cur_step=8769 phase=D_mixed_covt + {'loss': '3.417', 'grad_norm': '2.605', 'learning_rate': '9e-08', 'epoch': '0.3155'} + 97%|███████████████████████████████▏| 8769/9000 [7:42:06<10:58, 2.85s/it] {'lm_loss': '0.7018', 'visual_loss': '2.644', 'seg_loss': '0.7333', 'dino_loss': '0.9333', 'depth_loss': '0.1856', 'vggt_mse_loss': '0.1844', 'vggt_cos_loss': '0.01238', 'pidinet_loss': '0.2604', 'siglip_loss': '0.5309', 'epoch': '0.3155'} + 97%|███████████████████████████████▏| 8769/9000 [7:42:08<10:58, 2.85s/it][Dataset] cur_step=8770 phase=D_mixed_covt +[Dataset] cur_step=8770 phase=D_mixed_covt[Dataset] cur_step=8770 phase=D_mixed_covt + +[Dataset] cur_step=8770 phase=D_mixed_covt +[Dataset] cur_step=8770 phase=D_mixed_covt[Dataset] cur_step=8770 phase=D_mixed_covt +[Dataset] cur_step=8770 phase=D_mixed_covt +[Dataset] cur_step=8770 phase=D_mixed_covt + + 97%|███████████████████████████████▏| 8770/9000 [7:42:08<10:26, 2.73s/it] {'loss': '3.207', 'grad_norm': '4.142', 'learning_rate': '8.922e-08', 'epoch': '0.3155'} + 97%|███████████████████████████████▏| 8770/9000 [7:42:08<10:26, 2.73s/it] {'lm_loss': '0.8008', 'visual_loss': '3.364', 'seg_loss': '0.769', 'dino_loss': '0.8539', 'depth_loss': '0.1237', 'vggt_mse_loss': '0.1228', 'vggt_cos_loss': '0.009003', 'pidinet_loss': '0.3338', 'siglip_loss': '1.284', 'epoch': '0.3155'} + 97%|███████████████████████████████▏| 8770/9000 [7:42:10<10:26, 2.73s/it][Dataset] cur_step=8771 phase=D_mixed_covt + 97%|███████████████████████████████▏| 8771/9000 [7:42:10<09:27, 2.48s/it][Dataset] cur_step=8771 phase=D_mixed_covt +[Dataset] cur_step=8771 phase=D_mixed_covt[Dataset] cur_step=8771 phase=D_mixed_covt + +[Dataset] cur_step=8771 phase=D_mixed_covt +[Dataset] cur_step=8771 phase=D_mixed_covt +[Dataset] cur_step=8771 phase=D_mixed_covt +[Dataset] cur_step=8771 phase=D_mixed_covt + {'loss': '3.627', 'grad_norm': '3.541', 'learning_rate': '8.845e-08', 'epoch': '0.3155'} + 97%|███████████████████████████████▏| 8771/9000 [7:42:10<09:27, 2.48s/it] {'lm_loss': '0.6054', 'visual_loss': '2.567', 'seg_loss': '0.741', 'dino_loss': '0.8922', 'depth_loss': '0.268', 'vggt_mse_loss': '0.2662', 'vggt_cos_loss': '0.0179', 'pidinet_loss': '0.2565', 'siglip_loss': '0.4091', 'epoch': '0.3155'} + 97%|███████████████████████████████▏| 8771/9000 [7:42:12<09:27, 2.48s/it][Dataset] cur_step=8772 phase=D_mixed_covt[Dataset] cur_step=8772 phase=D_mixed_covt + +[Dataset] cur_step=8772 phase=D_mixed_covt[Dataset] cur_step=8772 phase=D_mixed_covt + +[Dataset] cur_step=8772 phase=D_mixed_covt +[Dataset] cur_step=8772 phase=D_mixed_covt + 97%|███████████████████████████████▏| 8772/9000 [7:42:13<09:25, 2.48s/it][Dataset] cur_step=8772 phase=D_mixed_covt[Dataset] cur_step=8772 phase=D_mixed_covt + + {'loss': '3.197', 'grad_norm': '2.842', 'learning_rate': '8.768e-08', 'epoch': '0.3156'} + 97%|███████████████████████████████▏| 8772/9000 [7:42:13<09:25, 2.48s/it] {'lm_loss': '0.3101', 'visual_loss': '2.744', 'seg_loss': '0.7741', 'dino_loss': '0.9186', 'depth_loss': '0.2614', 'vggt_mse_loss': '0.2593', 'vggt_cos_loss': '0.02087', 'pidinet_loss': '0.2017', 'siglip_loss': '0.5879', 'epoch': '0.3156'} + 97%|███████████████████████████████▏| 8772/9000 [7:42:16<09:25, 2.48s/it][Dataset] cur_step=8773 phase=D_mixed_covt +[Dataset] cur_step=8773 phase=D_mixed_covt +[Dataset] cur_step=8773 phase=D_mixed_covt +[Dataset] cur_step=8773 phase=D_mixed_covt +[Dataset] cur_step=8773 phase=D_mixed_covt[Dataset] cur_step=8773 phase=D_mixed_covt + +[Dataset] cur_step=8773 phase=D_mixed_covt[Dataset] cur_step=8773 phase=D_mixed_covt + + 97%|███████████████████████████████▏| 8773/9000 [7:42:17<11:04, 2.93s/it] {'loss': '2.935', 'grad_norm': '3.876', 'learning_rate': '8.691e-08', 'epoch': '0.3156'} + 97%|███████████████████████████████▏| 8773/9000 [7:42:17<11:04, 2.93s/it] {'lm_loss': '1.111', 'visual_loss': '2.287', 'seg_loss': '0.9044', 'dino_loss': '0.881', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.1827', 'siglip_loss': '0.3184', 'epoch': '0.3156'} + 97%|███████████████████████████████▏| 8773/9000 [7:42:18<11:04, 2.93s/it][Dataset] cur_step=8774 phase=D_mixed_covt[Dataset] cur_step=8774 phase=D_mixed_covt[Dataset] cur_step=8774 phase=D_mixed_covt + + +[Dataset] cur_step=8774 phase=D_mixed_covt +[Dataset] cur_step=8774 phase=D_mixed_covt +[Dataset] cur_step=8774 phase=D_mixed_covt +[Dataset] cur_step=8774 phase=D_mixed_covt +[Dataset] cur_step=8774 phase=D_mixed_covt + 97%|███████████████████████████████▏| 8774/9000 [7:42:18<09:26, 2.51s/it] {'loss': '2.986', 'grad_norm': '2.728', 'learning_rate': '8.615e-08', 'epoch': '0.3156'} + 97%|███████████████████████████████▏| 8774/9000 [7:42:18<09:26, 2.51s/it] {'lm_loss': '0.5535', 'visual_loss': '2.365', 'seg_loss': '0.6311', 'dino_loss': '0.876', 'depth_loss': '0.254', 'vggt_mse_loss': '0.2519', 'vggt_cos_loss': '0.02057', 'pidinet_loss': '0.2291', 'siglip_loss': '0.3751', 'epoch': '0.3156'} + 97%|███████████████████████████████▏| 8774/9000 [7:42:20<09:26, 2.51s/it][Dataset] cur_step=8775 phase=D_mixed_covt +[Dataset] cur_step=8775 phase=D_mixed_covt +[Dataset] cur_step=8775 phase=D_mixed_covt[Dataset] cur_step=8775 phase=D_mixed_covt +[Dataset] cur_step=8775 phase=D_mixed_covt + +[Dataset] cur_step=8775 phase=D_mixed_covt 98%|███████████████████████████████▏| 8775/9000 [7:42:20<09:00, 2.40s/it] +[Dataset] cur_step=8775 phase=D_mixed_covt +[Dataset] cur_step=8775 phase=D_mixed_covt + {'loss': '3.344', 'grad_norm': '4.308', 'learning_rate': '8.539e-08', 'epoch': '0.3157'} + 98%|███████████████████████████████▏| 8775/9000 [7:42:20<09:00, 2.40s/it] {'lm_loss': '0.07491', 'visual_loss': '2.75', 'seg_loss': '0.7133', 'dino_loss': '0.8905', 'depth_loss': '0.2941', 'vggt_mse_loss': '0.2916', 'vggt_cos_loss': '0.02496', 'pidinet_loss': '0.2232', 'siglip_loss': '0.6286', 'epoch': '0.3157'} + 98%|███████████████████████████████▏| 8775/9000 [7:42:22<09:00, 2.40s/it][Dataset] cur_step=8776 phase=D_mixed_covt +[Dataset] cur_step=8776 phase=D_mixed_covt +[Dataset] cur_step=8776 phase=D_mixed_covt +[Dataset] cur_step=8776 phase=D_mixed_covt[Dataset] cur_step=8776 phase=D_mixed_covt + +[Dataset] cur_step=8776 phase=D_mixed_covt + 98%|███████████████████████████████▏| 8776/9000 [7:42:23<09:18, 2.49s/it][Dataset] cur_step=8776 phase=D_mixed_covt +[Dataset] cur_step=8776 phase=D_mixed_covt + {'loss': '3.191', 'grad_norm': '3.334', 'learning_rate': '8.463e-08', 'epoch': '0.3157'} + 98%|███████████████████████████████▏| 8776/9000 [7:42:23<09:18, 2.49s/it] {'lm_loss': '0.6155', 'visual_loss': '2.113', 'seg_loss': '0', 'dino_loss': '0.9176', 'depth_loss': '0.2633', 'vggt_mse_loss': '0.2614', 'vggt_cos_loss': '0.01819', 'pidinet_loss': '0.2512', 'siglip_loss': '0.6806', 'epoch': '0.3157'} + 98%|███████████████████████████████▏| 8776/9000 [7:42:24<09:18, 2.49s/it][Dataset] cur_step=8777 phase=D_mixed_covt[Dataset] cur_step=8777 phase=D_mixed_covt +[Dataset] cur_step=8777 phase=D_mixed_covt +[Dataset] cur_step=8777 phase=D_mixed_covt + +[Dataset] cur_step=8777 phase=D_mixed_covt + 98%|███████████████████████████████▏| 8777/9000 [7:42:24<07:38, 2.06s/it][Dataset] cur_step=8777 phase=D_mixed_covt +[Dataset] cur_step=8777 phase=D_mixed_covt[Dataset] cur_step=8777 phase=D_mixed_covt + + {'loss': '2.48', 'grad_norm': '3.17', 'learning_rate': '8.388e-08', 'epoch': '0.3158'} + 98%|███████████████████████████████▏| 8777/9000 [7:42:24<07:38, 2.06s/it] {'lm_loss': '0.08254', 'visual_loss': '2.36', 'seg_loss': '0.734', 'dino_loss': '0.9421', 'depth_loss': '0.2255', 'vggt_mse_loss': '0.2241', 'vggt_cos_loss': '0.01488', 'pidinet_loss': '0', 'siglip_loss': '0.4584', 'epoch': '0.3158'} + 98%|███████████████████████████████▏| 8777/9000 [7:42:27<07:38, 2.06s/it][Dataset] cur_step=8778 phase=D_mixed_covt +[Dataset] cur_step=8778 phase=D_mixed_covt +[Dataset] cur_step=8778 phase=D_mixed_covt[Dataset] cur_step=8778 phase=D_mixed_covt + +[Dataset] cur_step=8778 phase=D_mixed_covt +[Dataset] cur_step=8778 phase=D_mixed_covt + 98%|███████████████████████████████▏| 8778/9000 [7:42:27<08:38, 2.34s/it][Dataset] cur_step=8778 phase=D_mixed_covt +[Dataset] cur_step=8778 phase=D_mixed_covt + {'loss': '2.789', 'grad_norm': '2.55', 'learning_rate': '8.313e-08', 'epoch': '0.3158'} + 98%|███████████████████████████████▏| 8778/9000 [7:42:27<08:38, 2.34s/it] {'lm_loss': '0.1156', 'visual_loss': '2.503', 'seg_loss': '0.7624', 'dino_loss': '0.9003', 'depth_loss': '0.228', 'vggt_mse_loss': '0.2264', 'vggt_cos_loss': '0.01635', 'pidinet_loss': '0.2218', 'siglip_loss': '0.3907', 'epoch': '0.3158'} + 98%|███████████████████████████████▏| 8778/9000 [7:42:29<08:38, 2.34s/it][Dataset] cur_step=8779 phase=D_mixed_covt[Dataset] cur_step=8779 phase=D_mixed_covt + +[Dataset] cur_step=8779 phase=D_mixed_covt +[Dataset] cur_step=8779 phase=D_mixed_covt +[Dataset] cur_step=8779 phase=D_mixed_covt[Dataset] cur_step=8779 phase=D_mixed_covt + + 98%|███████████████████████████████▏| 8779/9000 [7:42:29<08:16, 2.25s/it][Dataset] cur_step=8779 phase=D_mixed_covt +[Dataset] cur_step=8779 phase=D_mixed_covt + {'loss': '3.176', 'grad_norm': '4.476', 'learning_rate': '8.238e-08', 'epoch': '0.3158'} + 98%|███████████████████████████████▏| 8779/9000 [7:42:29<08:16, 2.25s/it] {'lm_loss': '1.115', 'visual_loss': '3.142', 'seg_loss': '0.8648', 'dino_loss': '0.9212', 'depth_loss': '0.2272', 'vggt_mse_loss': '0.2258', 'vggt_cos_loss': '0.01326', 'pidinet_loss': '0.2835', 'siglip_loss': '0.8455', 'epoch': '0.3158'} + 98%|███████████████████████████████▏| 8779/9000 [7:42:30<08:16, 2.25s/it][Dataset] cur_step=8780 phase=D_mixed_covt +[Dataset] cur_step=8780 phase=D_mixed_covt +[Dataset] cur_step=8780 phase=D_mixed_covt +[Dataset] cur_step=8780 phase=D_mixed_covt[Dataset] cur_step=8780 phase=D_mixed_covt + +[Dataset] cur_step=8780 phase=D_mixed_covt +[Dataset] cur_step=8780 phase=D_mixed_covt 98%|███████████████████████████████▏| 8780/9000 [7:42:31<08:01, 2.19s/it][Dataset] cur_step=8780 phase=D_mixed_covt + + {'loss': '3.408', 'grad_norm': '3.192', 'learning_rate': '8.164e-08', 'epoch': '0.3159'} + 98%|███████████████████████████████▏| 8780/9000 [7:42:31<08:01, 2.19s/it] {'lm_loss': '0.8692', 'visual_loss': '1.287', 'seg_loss': '0.53', 'dino_loss': '0', 'depth_loss': '0.1925', 'vggt_mse_loss': '0.1914', 'vggt_cos_loss': '0.01078', 'pidinet_loss': '0.04468', 'siglip_loss': '0.5198', 'epoch': '0.3159'} + 98%|███████████████████████████████▏| 8780/9000 [7:42:35<08:01, 2.19s/it][Dataset] cur_step=8781 phase=D_mixed_covt +[Dataset] cur_step=8781 phase=D_mixed_covt +[Dataset] cur_step=8781 phase=D_mixed_covt +[Dataset] cur_step=8781 phase=D_mixed_covt[Dataset] cur_step=8781 phase=D_mixed_covt[Dataset] cur_step=8781 phase=D_mixed_covt + + + 98%|███████████████████████████████▏| 8781/9000 [7:42:35<09:39, 2.65s/it][Dataset] cur_step=8781 phase=D_mixed_covt +[Dataset] cur_step=8781 phase=D_mixed_covt + {'loss': '2.522', 'grad_norm': '2.601', 'learning_rate': '8.09e-08', 'epoch': '0.3159'} + 98%|███████████████████████████████▏| 8781/9000 [7:42:35<09:39, 2.65s/it] {'lm_loss': '0.06121', 'visual_loss': '2.577', 'seg_loss': '0.7473', 'dino_loss': '0.9301', 'depth_loss': '0.1761', 'vggt_mse_loss': '0.1747', 'vggt_cos_loss': '0.01356', 'pidinet_loss': '0.2551', 'siglip_loss': '0.468', 'epoch': '0.3159'} + 98%|███████████████████████████████▏| 8781/9000 [7:42:37<09:39, 2.65s/it][Dataset] cur_step=8782 phase=D_mixed_covt[Dataset] cur_step=8782 phase=D_mixed_covt + +[Dataset] cur_step=8782 phase=D_mixed_covt +[Dataset] cur_step=8782 phase=D_mixed_covt + 98%|███████████████████████████████▏| 8782/9000 [7:42:38<09:50, 2.71s/it][Dataset] cur_step=8782 phase=D_mixed_covt +[Dataset] cur_step=8782 phase=D_mixed_covt +[Dataset] cur_step=8782 phase=D_mixed_covt[Dataset] cur_step=8782 phase=D_mixed_covt + + {'loss': '3.019', 'grad_norm': '3.104', 'learning_rate': '8.016e-08', 'epoch': '0.3159'} + 98%|███████████████████████████████▏| 8782/9000 [7:42:38<09:50, 2.71s/it] {'lm_loss': '0.1432', 'visual_loss': '2.92', 'seg_loss': '0.7921', 'dino_loss': '0.9023', 'depth_loss': '0.3542', 'vggt_mse_loss': '0.3515', 'vggt_cos_loss': '0.027', 'pidinet_loss': '0.2736', 'siglip_loss': '0.5978', 'epoch': '0.3159'} + 98%|███████████████████████████████▏| 8782/9000 [7:42:41<09:50, 2.71s/it][Dataset] cur_step=8783 phase=D_mixed_covt +[Dataset] cur_step=8783 phase=D_mixed_covt[Dataset] cur_step=8783 phase=D_mixed_covt + +[Dataset] cur_step=8783 phase=D_mixed_covt 98%|███████████████████████████████▏| 8783/9000 [7:42:42<11:03, 3.06s/it] +[Dataset] cur_step=8783 phase=D_mixed_covt[Dataset] cur_step=8783 phase=D_mixed_covt +[Dataset] cur_step=8783 phase=D_mixed_covt + +[Dataset] cur_step=8783 phase=D_mixed_covt + {'loss': '3.062', 'grad_norm': '2.033', 'learning_rate': '7.943e-08', 'epoch': '0.316'} + 98%|███████████████████████████████▏| 8783/9000 [7:42:42<11:03, 3.06s/it] {'lm_loss': '0.4815', 'visual_loss': '2.886', 'seg_loss': '0.7321', 'dino_loss': '0.9186', 'depth_loss': '0.4738', 'vggt_mse_loss': '0.4691', 'vggt_cos_loss': '0.04641', 'pidinet_loss': '0.1655', 'siglip_loss': '0.5957', 'epoch': '0.316'} + 98%|███████████████████████████████▏| 8783/9000 [7:42:44<11:03, 3.06s/it][Dataset] cur_step=8784 phase=D_mixed_covt[Dataset] cur_step=8784 phase=D_mixed_covt + +[Dataset] cur_step=8784 phase=D_mixed_covt + 98%|███████████████████████████████▏| 8784/9000 [7:42:45<11:28, 3.19s/it][Dataset] cur_step=8784 phase=D_mixed_covt +[Dataset] cur_step=8784 phase=D_mixed_covt +[Dataset] cur_step=8784 phase=D_mixed_covt +[Dataset] cur_step=8784 phase=D_mixed_covt +[Dataset] cur_step=8784 phase=D_mixed_covt + {'loss': '3.113', 'grad_norm': '2.808', 'learning_rate': '7.87e-08', 'epoch': '0.316'} + 98%|███████████████████████████████▏| 8784/9000 [7:42:45<11:28, 3.19s/it] {'lm_loss': '0.9501', 'visual_loss': '1.954', 'seg_loss': '0.5731', 'dino_loss': '0.9092', 'depth_loss': '0.2274', 'vggt_mse_loss': '0.2257', 'vggt_cos_loss': '0.01658', 'pidinet_loss': '0.2445', 'siglip_loss': '0', 'epoch': '0.316'} + 98%|███████████████████████████████▏| 8784/9000 [7:42:46<11:28, 3.19s/it][Dataset] cur_step=8785 phase=D_mixed_covt[Dataset] cur_step=8785 phase=D_mixed_covt + +[Dataset] cur_step=8785 phase=D_mixed_covt +[Dataset] cur_step=8785 phase=D_mixed_covt +[Dataset] cur_step=8785 phase=D_mixed_covt +[Dataset] cur_step=8785 phase=D_mixed_covt +[Dataset] cur_step=8785 phase=D_mixed_covt +[Dataset] cur_step=8785 phase=D_mixed_covt + 98%|███████████████████████████████▏| 8785/9000 [7:42:47<09:56, 2.78s/it] {'loss': '2.581', 'grad_norm': '6.428', 'learning_rate': '7.797e-08', 'epoch': '0.316'} + 98%|███████████████████████████████▏| 8785/9000 [7:42:47<09:56, 2.78s/it] {'lm_loss': '1.076', 'visual_loss': '2.632', 'seg_loss': '0.6691', 'dino_loss': '0.896', 'depth_loss': '0.228', 'vggt_mse_loss': '0.226', 'vggt_cos_loss': '0.02005', 'pidinet_loss': '0.3151', 'siglip_loss': '0.5235', 'epoch': '0.316'} + 98%|███████████████████████████████▏| 8785/9000 [7:42:49<09:56, 2.78s/it][Dataset] cur_step=8786 phase=D_mixed_covt +[Dataset] cur_step=8786 phase=D_mixed_covt[Dataset] cur_step=8786 phase=D_mixed_covt[Dataset] cur_step=8786 phase=D_mixed_covt + + +[Dataset] cur_step=8786 phase=D_mixed_covt +[Dataset] cur_step=8786 phase=D_mixed_covt +[Dataset] cur_step=8786 phase=D_mixed_covt + 98%|███████████████████████████████▏| 8786/9000 [7:42:50<09:41, 2.72s/it][Dataset] cur_step=8786 phase=D_mixed_covt + {'loss': '3.269', 'grad_norm': '3.621', 'learning_rate': '7.725e-08', 'epoch': '0.3161'} + 98%|███████████████████████████████▏| 8786/9000 [7:42:50<09:41, 2.72s/it] {'lm_loss': '1.242', 'visual_loss': '2.493', 'seg_loss': '0.5271', 'dino_loss': '0.886', 'depth_loss': '0.2243', 'vggt_mse_loss': '0.2227', 'vggt_cos_loss': '0.01548', 'pidinet_loss': '0', 'siglip_loss': '0.8551', 'epoch': '0.3161'} + 98%|███████████████████████████████▏| 8786/9000 [7:42:52<09:41, 2.72s/it][Dataset] cur_step=8787 phase=D_mixed_covt +[Dataset] cur_step=8787 phase=D_mixed_covt +[Dataset] cur_step=8787 phase=D_mixed_covt +[Dataset] cur_step=8787 phase=D_mixed_covt +[Dataset] cur_step=8787 phase=D_mixed_covt +[Dataset] cur_step=8787 phase=D_mixed_covt +[Dataset] cur_step=8787 phase=D_mixed_covt +[Dataset] cur_step=8787 phase=D_mixed_covt + 98%|███████████████████████████████▏| 8787/9000 [7:42:53<10:04, 2.84s/it] {'loss': '3.236', 'grad_norm': '2.319', 'learning_rate': '7.653e-08', 'epoch': '0.3161'} + 98%|███████████████████████████████▏| 8787/9000 [7:42:53<10:04, 2.84s/it] {'lm_loss': '0.8675', 'visual_loss': '2.872', 'seg_loss': '0.998', 'dino_loss': '0.8847', 'depth_loss': '0.1832', 'vggt_mse_loss': '0.182', 'vggt_cos_loss': '0.01279', 'pidinet_loss': '0.2588', 'siglip_loss': '0.5471', 'epoch': '0.3161'} + 98%|███████████████████████████████▏| 8787/9000 [7:42:54<10:04, 2.84s/it][Dataset] cur_step=8788 phase=D_mixed_covt +[Dataset] cur_step=8788 phase=D_mixed_covt +[Dataset] cur_step=8788 phase=D_mixed_covt +[Dataset] cur_step=8788 phase=D_mixed_covt[Dataset] cur_step=8788 phase=D_mixed_covt + +[Dataset] cur_step=8788 phase=D_mixed_covt 98%|███████████████████████████████▏| 8788/9000 [7:42:57<11:14, 3.18s/it] +[Dataset] cur_step=8788 phase=D_mixed_covt +[Dataset] cur_step=8788 phase=D_mixed_covt + {'loss': '3.427', 'grad_norm': '2.993', 'learning_rate': '7.581e-08', 'epoch': '0.3161'} + 98%|███████████████████████████████▏| 8788/9000 [7:42:57<11:14, 3.18s/it] {'lm_loss': '0.732', 'visual_loss': '2.51', 'seg_loss': '0.8358', 'dino_loss': '0.9114', 'depth_loss': '0.2574', 'vggt_mse_loss': '0.2557', 'vggt_cos_loss': '0.0163', 'pidinet_loss': '0', 'siglip_loss': '0.5053', 'epoch': '0.3161'} + 98%|███████████████████████████████▏| 8788/9000 [7:42:58<11:14, 3.18s/it][Dataset] cur_step=8789 phase=D_mixed_covt +[Dataset] cur_step=8789 phase=D_mixed_covt +[Dataset] cur_step=8789 phase=D_mixed_covt[Dataset] cur_step=8789 phase=D_mixed_covt + +[Dataset] cur_step=8789 phase=D_mixed_covt[Dataset] cur_step=8789 phase=D_mixed_covt + +[Dataset] cur_step=8789 phase=D_mixed_covt + 98%|███████████████████████████████▏| 8789/9000 [7:42:59<10:42, 3.04s/it][Dataset] cur_step=8789 phase=D_mixed_covt + {'loss': '3.053', 'grad_norm': '3.627', 'learning_rate': '7.51e-08', 'epoch': '0.3162'} + 98%|███████████████████████████████▏| 8789/9000 [7:42:59<10:42, 3.04s/it] {'lm_loss': '0.6191', 'visual_loss': '2.957', 'seg_loss': '0.7207', 'dino_loss': '0.9031', 'depth_loss': '0.3473', 'vggt_mse_loss': '0.3449', 'vggt_cos_loss': '0.02366', 'pidinet_loss': '0.2001', 'siglip_loss': '0.7859', 'epoch': '0.3162'} + 98%|███████████████████████████████▏| 8789/9000 [7:43:02<10:42, 3.04s/it][Dataset] cur_step=8790 phase=D_mixed_covt +[Dataset] cur_step=8790 phase=D_mixed_covt +[Dataset] cur_step=8790 phase=D_mixed_covt +[Dataset] cur_step=8790 phase=D_mixed_covt +[Dataset] cur_step=8790 phase=D_mixed_covt +[Dataset] cur_step=8790 phase=D_mixed_covt 98%|███████████████████████████████▎| 8790/9000 [7:43:03<10:54, 3.12s/it][Dataset] cur_step=8790 phase=D_mixed_covt + +[Dataset] cur_step=8790 phase=D_mixed_covt + {'loss': '3.214', 'grad_norm': '6.012', 'learning_rate': '7.439e-08', 'epoch': '0.3162'} + 98%|███████████████████████████████▎| 8790/9000 [7:43:03<10:54, 3.12s/it] {'lm_loss': '0.8948', 'visual_loss': '2.822', 'seg_loss': '0.7443', 'dino_loss': '0.8828', 'depth_loss': '0.2746', 'vggt_mse_loss': '0.2723', 'vggt_cos_loss': '0.02226', 'pidinet_loss': '0.294', 'siglip_loss': '0.626', 'epoch': '0.3162'} + 98%|███████████████████████████████▎| 8790/9000 [7:43:05<10:54, 3.12s/it][Dataset] cur_step=8791 phase=D_mixed_covt +[Dataset] cur_step=8791 phase=D_mixed_covt +[Dataset] cur_step=8791 phase=D_mixed_covt +[Dataset] cur_step=8791 phase=D_mixed_covt +[Dataset] cur_step=8791 phase=D_mixed_covt + 98%|███████████████████████████████▎| 8791/9000 [7:43:08<13:30, 3.88s/it][Dataset] cur_step=8791 phase=D_mixed_covt +[Dataset] cur_step=8791 phase=D_mixed_covt +[Dataset] cur_step=8791 phase=D_mixed_covt + {'loss': '3.308', 'grad_norm': '2.265', 'learning_rate': '7.368e-08', 'epoch': '0.3163'} + 98%|███████████████████████████████▎| 8791/9000 [7:43:08<13:30, 3.88s/it] {'lm_loss': '1.197', 'visual_loss': '2.432', 'seg_loss': '0.5864', 'dino_loss': '0.9117', 'depth_loss': '0.2764', 'vggt_mse_loss': '0.2742', 'vggt_cos_loss': '0.02128', 'pidinet_loss': '0.2319', 'siglip_loss': '0.4257', 'epoch': '0.3163'} + 98%|███████████████████████████████▎| 8791/9000 [7:43:12<13:30, 3.88s/it][Dataset] cur_step=8792 phase=D_mixed_covt +[Dataset] cur_step=8792 phase=D_mixed_covt + 98%|███████████████████████████████▎| 8792/9000 [7:43:13<13:59, 4.03s/it][Dataset] cur_step=8792 phase=D_mixed_covt +[Dataset] cur_step=8792 phase=D_mixed_covt +[Dataset] cur_step=8792 phase=D_mixed_covt +[Dataset] cur_step=8792 phase=D_mixed_covt +[Dataset] cur_step=8792 phase=D_mixed_covt +[Dataset] cur_step=8792 phase=D_mixed_covt + {'loss': '3.349', 'grad_norm': '58.43', 'learning_rate': '7.298e-08', 'epoch': '0.3163'} + 98%|███████████████████████████████▎| 8792/9000 [7:43:13<13:59, 4.03s/it] {'lm_loss': '0.7759', 'visual_loss': '2.403', 'seg_loss': '0.6145', 'dino_loss': '0.937', 'depth_loss': '0.2124', 'vggt_mse_loss': '0.211', 'vggt_cos_loss': '0.01358', 'pidinet_loss': '0.2025', 'siglip_loss': '0.4366', 'epoch': '0.3163'} + 98%|███████████████████████████████▎| 8792/9000 [7:43:15<13:59, 4.03s/it][Dataset] cur_step=8793 phase=D_mixed_covt +[Dataset] cur_step=8793 phase=D_mixed_covt +[Dataset] cur_step=8793 phase=D_mixed_covt +[Dataset] cur_step=8793 phase=D_mixed_covt +[Dataset] cur_step=8793 phase=D_mixed_covt +[Dataset] cur_step=8793 phase=D_mixed_covt 98%|███████████████████████████████▎| 8793/9000 [7:43:15<12:35, 3.65s/it] +[Dataset] cur_step=8793 phase=D_mixed_covt +[Dataset] cur_step=8793 phase=D_mixed_covt + {'loss': '3.194', 'grad_norm': '3.922', 'learning_rate': '7.228e-08', 'epoch': '0.3163'} + 98%|███████████████████████████████▎| 8793/9000 [7:43:15<12:35, 3.65s/it] {'lm_loss': '0.7734', 'visual_loss': '1.804', 'seg_loss': '0.6971', 'dino_loss': '0.9301', 'depth_loss': '0.1772', 'vggt_mse_loss': '0.1761', 'vggt_cos_loss': '0.01165', 'pidinet_loss': '0', 'siglip_loss': '0', 'epoch': '0.3163'} + 98%|███████████████████████████████▎| 8793/9000 [7:43:17<12:35, 3.65s/it][Dataset] cur_step=8794 phase=D_mixed_covt +[Dataset] cur_step=8794 phase=D_mixed_covt +[Dataset] cur_step=8794 phase=D_mixed_covt 98%|███████████████████████████████▎| 8794/9000 [7:43:20<13:25, 3.91s/it] +[Dataset] cur_step=8794 phase=D_mixed_covt +[Dataset] cur_step=8794 phase=D_mixed_covt +[Dataset] cur_step=8794 phase=D_mixed_covt +[Dataset] cur_step=8794 phase=D_mixed_covt +[Dataset] cur_step=8794 phase=D_mixed_covt + {'loss': '2.605', 'grad_norm': '26.38', 'learning_rate': '7.158e-08', 'epoch': '0.3164'} + 98%|███████████████████████████████▎| 8794/9000 [7:43:20<13:25, 3.91s/it] {'lm_loss': '0.7043', 'visual_loss': '2.668', 'seg_loss': '0.7774', 'dino_loss': '0.9497', 'depth_loss': '0.2753', 'vggt_mse_loss': '0.2729', 'vggt_cos_loss': '0.02377', 'pidinet_loss': '0.1969', 'siglip_loss': '0.4688', 'epoch': '0.3164'} + 98%|███████████████████████████████▎| 8794/9000 [7:43:22<13:25, 3.91s/it][Dataset] cur_step=8795 phase=D_mixed_covt +[Dataset] cur_step=8795 phase=D_mixed_covt +[Dataset] cur_step=8795 phase=D_mixed_covt +[Dataset] cur_step=8795 phase=D_mixed_covt[Dataset] cur_step=8795 phase=D_mixed_covt[Dataset] cur_step=8795 phase=D_mixed_covt + + + 98%|███████████████████████████████▎| 8795/9000 [7:43:22<11:54, 3.49s/it][Dataset] cur_step=8795 phase=D_mixed_covt +[Dataset] cur_step=8795 phase=D_mixed_covt + {'loss': '3.246', 'grad_norm': '2.637', 'learning_rate': '7.089e-08', 'epoch': '0.3164'} + 98%|███████████████████████████████▎| 8795/9000 [7:43:22<11:54, 3.49s/it] {'lm_loss': '0.6672', 'visual_loss': '2.737', 'seg_loss': '0.8149', 'dino_loss': '0.9146', 'depth_loss': '0.1925', 'vggt_mse_loss': '0.1912', 'vggt_cos_loss': '0.01342', 'pidinet_loss': '0.2669', 'siglip_loss': '0.5481', 'epoch': '0.3164'} + 98%|███████████████████████████████▎| 8795/9000 [7:43:25<11:54, 3.49s/it][Dataset] cur_step=8796 phase=D_mixed_covt +[Dataset] cur_step=8796 phase=D_mixed_covt +[Dataset] cur_step=8796 phase=D_mixed_covt +[Dataset] cur_step=8796 phase=D_mixed_covt + 98%|███████████████████████████████▎| 8796/9000 [7:43:29<14:50, 4.36s/it][Dataset] cur_step=8796 phase=D_mixed_covt +[Dataset] cur_step=8796 phase=D_mixed_covt +[Dataset] cur_step=8796 phase=D_mixed_covt +[Dataset] cur_step=8796 phase=D_mixed_covt + {'loss': '3.11', 'grad_norm': '6.976', 'learning_rate': '7.02e-08', 'epoch': '0.3164'} + 98%|███████████████████████████████▎| 8796/9000 [7:43:29<14:50, 4.36s/it] {'lm_loss': '0.06207', 'visual_loss': '2.625', 'seg_loss': '0.6675', 'dino_loss': '0.9525', 'depth_loss': '0.225', 'vggt_mse_loss': '0.2238', 'vggt_cos_loss': '0.01287', 'pidinet_loss': '0.19', 'siglip_loss': '0.5897', 'epoch': '0.3164'} + 98%|███████████████████████████████▎| 8796/9000 [7:43:31<14:50, 4.36s/it][Dataset] cur_step=8797 phase=D_mixed_covt +[Dataset] cur_step=8797 phase=D_mixed_covt +[Dataset] cur_step=8797 phase=D_mixed_covt[Dataset] cur_step=8797 phase=D_mixed_covt + +[Dataset] cur_step=8797 phase=D_mixed_covt +[Dataset] cur_step=8797 phase=D_mixed_covt 98%|███████████████████████████████▎| 8797/9000 [7:43:32<13:28, 3.98s/it] +[Dataset] cur_step=8797 phase=D_mixed_covt +[Dataset] cur_step=8797 phase=D_mixed_covt + {'loss': '3.032', 'grad_norm': '7.508', 'learning_rate': '6.951e-08', 'epoch': '0.3165'} + 98%|███████████████████████████████▎| 8797/9000 [7:43:32<13:28, 3.98s/it] {'lm_loss': '0.9129', 'visual_loss': '1.831', 'seg_loss': '0', 'dino_loss': '0.9384', 'depth_loss': '0.2229', 'vggt_mse_loss': '0.221', 'vggt_cos_loss': '0.0187', 'pidinet_loss': '0.2227', 'siglip_loss': '0.4472', 'epoch': '0.3165'} + 98%|███████████████████████████████▎| 8797/9000 [7:43:33<13:28, 3.98s/it][Dataset] cur_step=8798 phase=D_mixed_covt +[Dataset] cur_step=8798 phase=D_mixed_covt[Dataset] cur_step=8798 phase=D_mixed_covt + +[Dataset] cur_step=8798 phase=D_mixed_covt +[Dataset] cur_step=8798 phase=D_mixed_covt +[Dataset] cur_step=8798 phase=D_mixed_covt +[Dataset] cur_step=8798 phase=D_mixed_covt +[Dataset] cur_step=8798 phase=D_mixed_covt + 98%|███████████████████████████████▎| 8798/9000 [7:43:33<10:37, 3.16s/it] {'loss': '2.63', 'grad_norm': '4.392', 'learning_rate': '6.883e-08', 'epoch': '0.3165'} + 98%|███████████████████████████████▎| 8798/9000 [7:43:33<10:37, 3.16s/it] {'lm_loss': '0.5809', 'visual_loss': '1.809', 'seg_loss': '0.7608', 'dino_loss': '0', 'depth_loss': '0.2847', 'vggt_mse_loss': '0.2818', 'vggt_cos_loss': '0.02846', 'pidinet_loss': '0.3549', 'siglip_loss': '0.4092', 'epoch': '0.3165'} + 98%|███████████████████████████████▎| 8798/9000 [7:43:35<10:37, 3.16s/it][Dataset] cur_step=8799 phase=D_mixed_covt +[Dataset] cur_step=8799 phase=D_mixed_covt +[Dataset] cur_step=8799 phase=D_mixed_covt[Dataset] cur_step=8799 phase=D_mixed_covt + +[Dataset] cur_step=8799 phase=D_mixed_covt +[Dataset] cur_step=8799 phase=D_mixed_covt + 98%|███████████████████████████████▎| 8799/9000 [7:43:35<09:21, 2.79s/it][Dataset] cur_step=8799 phase=D_mixed_covt +[Dataset] cur_step=8799 phase=D_mixed_covt + {'loss': '2.203', 'grad_norm': '4.816', 'learning_rate': '6.815e-08', 'epoch': '0.3165'} + 98%|███████████████████████████████▎| 8799/9000 [7:43:35<09:21, 2.79s/it] {'lm_loss': '0.7846', 'visual_loss': '2.91', 'seg_loss': '1.029', 'dino_loss': '0.8899', 'depth_loss': '0.2043', 'vggt_mse_loss': '0.2024', 'vggt_cos_loss': '0.01924', 'pidinet_loss': '0.2527', 'siglip_loss': '0.5338', 'epoch': '0.3165'} + 98%|███████████████████████████████▎| 8799/9000 [7:43:36<09:21, 2.79s/it][Dataset] cur_step=8800 phase=D_mixed_covt +[Dataset] cur_step=8800 phase=D_mixed_covt +[Dataset] cur_step=8800 phase=D_mixed_covt +[Dataset] cur_step=8800 phase=D_mixed_covt +[Dataset] cur_step=8800 phase=D_mixed_covt +[Dataset] cur_step=8800 phase=D_mixed_covt + 98%|███████████████████████████████▎| 8800/9000 [7:43:37<08:24, 2.52s/it][Dataset] cur_step=8800 phase=D_mixed_covt +[Dataset] cur_step=8800 phase=D_mixed_covt + {'loss': '3.118', 'grad_norm': '2.955', 'learning_rate': '6.747e-08', 'epoch': '0.3166'} + 98%|███████████████████████████████▎| 8800/9000 [7:43:37<08:24, 2.52s/it] {'lm_loss': '0.1632', 'visual_loss': '1.344', 'seg_loss': '0', 'dino_loss': '0.8904', 'depth_loss': '0.2599', 'vggt_mse_loss': '0.258', 'vggt_cos_loss': '0.01901', 'pidinet_loss': '0.06888', 'siglip_loss': '0.1249', 'epoch': '0.3166'} + 98%|███████████████████████████████▎| 8800/9000 [7:43:38<08:24, 2.52s/it][Dataset] cur_step=8801 phase=D_mixed_covt +[Dataset] cur_step=8801 phase=D_mixed_covt[Dataset] cur_step=8801 phase=D_mixed_covt +[Dataset] cur_step=8801 phase=D_mixed_covt + +[Dataset] cur_step=8801 phase=D_mixed_covt +[Dataset] cur_step=8801 phase=D_mixed_covt +[Dataset] cur_step=8801 phase=D_mixed_covt[Dataset] cur_step=8801 phase=D_mixed_covt + + 98%|███████████████████████████████▎| 8801/9000 [7:43:38<06:59, 2.11s/it] {'loss': '2.518', 'grad_norm': '3.403', 'learning_rate': '6.68e-08', 'epoch': '0.3166'} + 98%|███████████████████████████████▎| 8801/9000 [7:43:38<06:59, 2.11s/it] {'lm_loss': '0.0757', 'visual_loss': '3.168', 'seg_loss': '0.713', 'dino_loss': '0.911', 'depth_loss': '0.4366', 'vggt_mse_loss': '0.4325', 'vggt_cos_loss': '0.04044', 'pidinet_loss': '0.2492', 'siglip_loss': '0.8586', 'epoch': '0.3166'} + 98%|███████████████████████████████▎| 8801/9000 [7:43:41<06:59, 2.11s/it][Dataset] cur_step=8802 phase=D_mixed_covt +[Dataset] cur_step=8802 phase=D_mixed_covt + 98%|███████████████████████████████▎| 8802/9000 [7:43:44<10:34, 3.20s/it][Dataset] cur_step=8802 phase=D_mixed_covt +[Dataset] cur_step=8802 phase=D_mixed_covt +[Dataset] cur_step=8802 phase=D_mixed_covt +[Dataset] cur_step=8802 phase=D_mixed_covt +[Dataset] cur_step=8802 phase=D_mixed_covt[Dataset] cur_step=8802 phase=D_mixed_covt + + {'loss': '3.277', 'grad_norm': '2.492', 'learning_rate': '6.613e-08', 'epoch': '0.3167'} + 98%|███████████████████████████████▎| 8802/9000 [7:43:44<10:34, 3.20s/it] {'lm_loss': '0.498', 'visual_loss': '2.744', 'seg_loss': '0.7125', 'dino_loss': '0.8836', 'depth_loss': '0.3429', 'vggt_mse_loss': '0.34', 'vggt_cos_loss': '0.02987', 'pidinet_loss': '0.3119', 'siglip_loss': '0.4927', 'epoch': '0.3167'} + 98%|███████████████████████████████▎| 8802/9000 [7:43:45<10:34, 3.20s/it][Dataset] cur_step=8803 phase=D_mixed_covt + 98%|███████████████████████████████▎| 8803/9000 [7:43:46<09:19, 2.84s/it][Dataset] cur_step=8803 phase=D_mixed_covt[Dataset] cur_step=8803 phase=D_mixed_covt + +[Dataset] cur_step=8803 phase=D_mixed_covt +[Dataset] cur_step=8803 phase=D_mixed_covt +[Dataset] cur_step=8803 phase=D_mixed_covt +[Dataset] cur_step=8803 phase=D_mixed_covt +[Dataset] cur_step=8803 phase=D_mixed_covt + {'loss': '3.457', 'grad_norm': '4.906', 'learning_rate': '6.547e-08', 'epoch': '0.3167'} + 98%|███████████████████████████████▎| 8803/9000 [7:43:46<09:19, 2.84s/it] {'lm_loss': '0.8406', 'visual_loss': '3.139', 'seg_loss': '0.7281', 'dino_loss': '0.8953', 'depth_loss': '0.189', 'vggt_mse_loss': '0.1876', 'vggt_cos_loss': '0.01329', 'pidinet_loss': '0.2813', 'siglip_loss': '1.045', 'epoch': '0.3167'} + 98%|███████████████████████████████▎| 8803/9000 [7:43:49<09:19, 2.84s/it][Dataset] cur_step=8804 phase=D_mixed_covt +[Dataset] cur_step=8804 phase=D_mixed_covt +[Dataset] cur_step=8804 phase=D_mixed_covt[Dataset] cur_step=8804 phase=D_mixed_covt + +[Dataset] cur_step=8804 phase=D_mixed_covt 98%|███████████████████████████████▎| 8804/9000 [7:43:49<09:44, 2.98s/it] +[Dataset] cur_step=8804 phase=D_mixed_covt +[Dataset] cur_step=8804 phase=D_mixed_covt[Dataset] cur_step=8804 phase=D_mixed_covt + + {'loss': '3.368', 'grad_norm': '7.04', 'learning_rate': '6.48e-08', 'epoch': '0.3167'} + 98%|███████████████████████████████▎| 8804/9000 [7:43:49<09:44, 2.98s/it] {'lm_loss': '0.4274', 'visual_loss': '2.301', 'seg_loss': '0.702', 'dino_loss': '0.8763', 'depth_loss': '0.1352', 'vggt_mse_loss': '0.1347', 'vggt_cos_loss': '0.005663', 'pidinet_loss': '0.2765', 'siglip_loss': '0.3108', 'epoch': '0.3167'} + 98%|███████████████████████████████▎| 8804/9000 [7:43:52<09:44, 2.98s/it][Dataset] cur_step=8805 phase=D_mixed_covt[Dataset] cur_step=8805 phase=D_mixed_covt + + 98%|███████████████████████████████▎| 8805/9000 [7:43:53<10:18, 3.17s/it][Dataset] cur_step=8805 phase=D_mixed_covt +[Dataset] cur_step=8805 phase=D_mixed_covt[Dataset] cur_step=8805 phase=D_mixed_covt + +[Dataset] cur_step=8805 phase=D_mixed_covt +[Dataset] cur_step=8805 phase=D_mixed_covt +[Dataset] cur_step=8805 phase=D_mixed_covt + {'loss': '3.495', 'grad_norm': '3.516', 'learning_rate': '6.414e-08', 'epoch': '0.3168'} + 98%|███████████████████████████████▎| 8805/9000 [7:43:53<10:18, 3.17s/it] {'lm_loss': '1.212', 'visual_loss': '0.5463', 'seg_loss': '0', 'dino_loss': '0', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.145', 'siglip_loss': '0.4013', 'epoch': '0.3168'} + 98%|███████████████████████████████▎| 8805/9000 [7:43:53<10:18, 3.17s/it][Dataset] cur_step=8806 phase=D_mixed_covt[Dataset] cur_step=8806 phase=D_mixed_covt + +[Dataset] cur_step=8806 phase=D_mixed_covt[Dataset] cur_step=8806 phase=D_mixed_covt + + 98%|███████████████████████████████▎| 8806/9000 [7:43:54<08:12, 2.54s/it][Dataset] cur_step=8806 phase=D_mixed_covt +[Dataset] cur_step=8806 phase=D_mixed_covt +[Dataset] cur_step=8806 phase=D_mixed_covt +[Dataset] cur_step=8806 phase=D_mixed_covt + {'loss': '1.883', 'grad_norm': '7.272', 'learning_rate': '6.349e-08', 'epoch': '0.3168'} + 98%|███████████████████████████████▎| 8806/9000 [7:43:54<08:12, 2.54s/it] {'lm_loss': '0.9411', 'visual_loss': '2.549', 'seg_loss': '0.6742', 'dino_loss': '0.909', 'depth_loss': '0.2218', 'vggt_mse_loss': '0.2203', 'vggt_cos_loss': '0.01486', 'pidinet_loss': '0.2372', 'siglip_loss': '0.5063', 'epoch': '0.3168'} + 98%|███████████████████████████████▎| 8806/9000 [7:43:55<08:12, 2.54s/it][Dataset] cur_step=8807 phase=D_mixed_covt +[Dataset] cur_step=8807 phase=D_mixed_covt +[Dataset] cur_step=8807 phase=D_mixed_covt +[Dataset] cur_step=8807 phase=D_mixed_covt +[Dataset] cur_step=8807 phase=D_mixed_covt[Dataset] cur_step=8807 phase=D_mixed_covt + + 98%|███████████████████████████████▎| 8807/9000 [7:43:56<07:36, 2.36s/it][Dataset] cur_step=8807 phase=D_mixed_covt +[Dataset] cur_step=8807 phase=D_mixed_covt + {'loss': '3.235', 'grad_norm': '4.525', 'learning_rate': '6.284e-08', 'epoch': '0.3168'} + 98%|███████████████████████████████▎| 8807/9000 [7:43:56<07:36, 2.36s/it] {'lm_loss': '1.123', 'visual_loss': '2.828', 'seg_loss': '0.7954', 'dino_loss': '0.9054', 'depth_loss': '0.2884', 'vggt_mse_loss': '0.2864', 'vggt_cos_loss': '0.02045', 'pidinet_loss': '0.3072', 'siglip_loss': '0.5317', 'epoch': '0.3168'} + 98%|███████████████████████████████▎| 8807/9000 [7:43:58<07:36, 2.36s/it][Dataset] cur_step=8808 phase=D_mixed_covt +[Dataset] cur_step=8808 phase=D_mixed_covt[Dataset] cur_step=8808 phase=D_mixed_covt + + 98%|███████████████████████████████▎| 8808/9000 [7:43:58<07:47, 2.44s/it][Dataset] cur_step=8808 phase=D_mixed_covt +[Dataset] cur_step=8808 phase=D_mixed_covt[Dataset] cur_step=8808 phase=D_mixed_covt + +[Dataset] cur_step=8808 phase=D_mixed_covt +[Dataset] cur_step=8808 phase=D_mixed_covt + {'loss': '3.291', 'grad_norm': '4.813', 'learning_rate': '6.219e-08', 'epoch': '0.3169'} + 98%|███████████████████████████████▎| 8808/9000 [7:43:58<07:47, 2.44s/it] {'lm_loss': '0.7918', 'visual_loss': '2.313', 'seg_loss': '0.5135', 'dino_loss': '0.9181', 'depth_loss': '0.1495', 'vggt_mse_loss': '0.1485', 'vggt_cos_loss': '0.009801', 'pidinet_loss': '0.1963', 'siglip_loss': '0.5359', 'epoch': '0.3169'} + 98%|███████████████████████████████▎| 8808/9000 [7:44:00<07:47, 2.44s/it][Dataset] cur_step=8809 phase=D_mixed_covt +[Dataset] cur_step=8809 phase=D_mixed_covt +[Dataset] cur_step=8809 phase=D_mixed_covt[Dataset] cur_step=8809 phase=D_mixed_covt + +[Dataset] cur_step=8809 phase=D_mixed_covt 98%|███████████████████████████████▎| 8809/9000 [7:44:01<07:25, 2.33s/it] +[Dataset] cur_step=8809 phase=D_mixed_covt +[Dataset] cur_step=8809 phase=D_mixed_covt +[Dataset] cur_step=8809 phase=D_mixed_covt + {'loss': '3.198', 'grad_norm': '6.233', 'learning_rate': '6.154e-08', 'epoch': '0.3169'} + 98%|███████████████████████████████▎| 8809/9000 [7:44:01<07:25, 2.33s/it] {'lm_loss': '0.7612', 'visual_loss': '3.021', 'seg_loss': '0.7456', 'dino_loss': '0.9067', 'depth_loss': '0.3847', 'vggt_mse_loss': '0.3803', 'vggt_cos_loss': '0.04307', 'pidinet_loss': '0.2505', 'siglip_loss': '0.7334', 'epoch': '0.3169'} + 98%|███████████████████████████████▎| 8809/9000 [7:44:05<07:25, 2.33s/it][Dataset] cur_step=8810 phase=D_mixed_covt + 98%|███████████████████████████████▎| 8810/9000 [7:44:06<10:00, 3.16s/it][Dataset] cur_step=8810 phase=D_mixed_covt +[Dataset] cur_step=8810 phase=D_mixed_covt +[Dataset] cur_step=8810 phase=D_mixed_covt +[Dataset] cur_step=8810 phase=D_mixed_covt +[Dataset] cur_step=8810 phase=D_mixed_covt +[Dataset] cur_step=8810 phase=D_mixed_covt +[Dataset] cur_step=8810 phase=D_mixed_covt + {'loss': '3.238', 'grad_norm': '3.356', 'learning_rate': '6.09e-08', 'epoch': '0.3169'} + 98%|███████████████████████████████▎| 8810/9000 [7:44:06<10:00, 3.16s/it] {'lm_loss': '0.8827', 'visual_loss': '2.339', 'seg_loss': '0.717', 'dino_loss': '0.9068', 'depth_loss': '0.2307', 'vggt_mse_loss': '0.229', 'vggt_cos_loss': '0.01689', 'pidinet_loss': '0.1904', 'siglip_loss': '0.2938', 'epoch': '0.3169'} + 98%|███████████████████████████████▎| 8810/9000 [7:44:09<10:00, 3.16s/it][Dataset] cur_step=8811 phase=D_mixed_covt[Dataset] cur_step=8811 phase=D_mixed_covt[Dataset] cur_step=8811 phase=D_mixed_covt + + +[Dataset] cur_step=8811 phase=D_mixed_covt 98%|███████████████████████████████▎| 8811/9000 [7:44:09<10:27, 3.32s/it] +[Dataset] cur_step=8811 phase=D_mixed_covt +[Dataset] cur_step=8811 phase=D_mixed_covt +[Dataset] cur_step=8811 phase=D_mixed_covt +[Dataset] cur_step=8811 phase=D_mixed_covt + {'loss': '3.379', 'grad_norm': '5.953', 'learning_rate': '6.026e-08', 'epoch': '0.317'} + 98%|███████████████████████████████▎| 8811/9000 [7:44:09<10:27, 3.32s/it] {'lm_loss': '0.1441', 'visual_loss': '2.66', 'seg_loss': '0.809', 'dino_loss': '0.893', 'depth_loss': '0.5094', 'vggt_mse_loss': '0.5062', 'vggt_cos_loss': '0.03173', 'pidinet_loss': '0.2142', 'siglip_loss': '0.2346', 'epoch': '0.317'} + 98%|███████████████████████████████▎| 8811/9000 [7:44:11<10:27, 3.32s/it][Dataset] cur_step=8812 phase=D_mixed_covt[Dataset] cur_step=8812 phase=D_mixed_covt + +[Dataset] cur_step=8812 phase=D_mixed_covt +[Dataset] cur_step=8812 phase=D_mixed_covt +[Dataset] cur_step=8812 phase=D_mixed_covt[Dataset] cur_step=8812 phase=D_mixed_covt 98%|███████████████████████████████▎| 8812/9000 [7:44:12<09:46, 3.12s/it] + +[Dataset] cur_step=8812 phase=D_mixed_covt +[Dataset] cur_step=8812 phase=D_mixed_covt + {'loss': '3.304', 'grad_norm': '8.647', 'learning_rate': '5.962e-08', 'epoch': '0.317'} + 98%|███████████████████████████████▎| 8812/9000 [7:44:12<09:46, 3.12s/it] {'lm_loss': '0.697', 'visual_loss': '2.617', 'seg_loss': '0.6891', 'dino_loss': '0.9271', 'depth_loss': '0.2376', 'vggt_mse_loss': '0.236', 'vggt_cos_loss': '0.01566', 'pidinet_loss': '0.2463', 'siglip_loss': '0.5171', 'epoch': '0.317'} + 98%|███████████████████████████████▎| 8812/9000 [7:44:13<09:46, 3.12s/it][Dataset] cur_step=8813 phase=D_mixed_covt +[Dataset] cur_step=8813 phase=D_mixed_covt +[Dataset] cur_step=8813 phase=D_mixed_covt +[Dataset] cur_step=8813 phase=D_mixed_covt + 98%|███████████████████████████████▎| 8813/9000 [7:44:14<08:32, 2.74s/it][Dataset] cur_step=8813 phase=D_mixed_covt +[Dataset] cur_step=8813 phase=D_mixed_covt +[Dataset] cur_step=8813 phase=D_mixed_covt +[Dataset] cur_step=8813 phase=D_mixed_covt + {'loss': '3.185', 'grad_norm': '2.263', 'learning_rate': '5.899e-08', 'epoch': '0.317'} + 98%|███████████████████████████████▎| 8813/9000 [7:44:14<08:32, 2.74s/it] {'lm_loss': '0.4421', 'visual_loss': '2.369', 'seg_loss': '0.6839', 'dino_loss': '0.8802', 'depth_loss': '0.1178', 'vggt_mse_loss': '0.1172', 'vggt_cos_loss': '0.006018', 'pidinet_loss': '0.1716', 'siglip_loss': '0.5156', 'epoch': '0.317'} + 98%|███████████████████████████████▎| 8813/9000 [7:44:15<08:32, 2.74s/it][Dataset] cur_step=8814 phase=D_mixed_covt +[Dataset] cur_step=8814 phase=D_mixed_covt +[Dataset] cur_step=8814 phase=D_mixed_covt[Dataset] cur_step=8814 phase=D_mixed_covt[Dataset] cur_step=8814 phase=D_mixed_covt + + +[Dataset] cur_step=8814 phase=D_mixed_covt + 98%|███████████████████████████████▎| 8814/9000 [7:44:16<07:43, 2.49s/it][Dataset] cur_step=8814 phase=D_mixed_covt +[Dataset] cur_step=8814 phase=D_mixed_covt + {'loss': '3.087', 'grad_norm': '4.481', 'learning_rate': '5.836e-08', 'epoch': '0.3171'} + 98%|███████████████████████████████▎| 8814/9000 [7:44:16<07:43, 2.49s/it] {'lm_loss': '0.06809', 'visual_loss': '2.688', 'seg_loss': '0.728', 'dino_loss': '0.9244', 'depth_loss': '0.2585', 'vggt_mse_loss': '0.2563', 'vggt_cos_loss': '0.02217', 'pidinet_loss': '0.2514', 'siglip_loss': '0.5261', 'epoch': '0.3171'} + 98%|███████████████████████████████▎| 8814/9000 [7:44:18<07:43, 2.49s/it][Dataset] cur_step=8815 phase=D_mixed_covt +[Dataset] cur_step=8815 phase=D_mixed_covt +[Dataset] cur_step=8815 phase=D_mixed_covt +[Dataset] cur_step=8815 phase=D_mixed_covt +[Dataset] cur_step=8815 phase=D_mixed_covt +[Dataset] cur_step=8815 phase=D_mixed_covt + 98%|███████████████████████████████▎| 8815/9000 [7:44:19<08:28, 2.75s/it][Dataset] cur_step=8815 phase=D_mixed_covt[Dataset] cur_step=8815 phase=D_mixed_covt + + {'loss': '3.02', 'grad_norm': '2.2', 'learning_rate': '5.774e-08', 'epoch': '0.3171'} + 98%|███████████████████████████████▎| 8815/9000 [7:44:19<08:28, 2.75s/it] {'lm_loss': '0.7199', 'visual_loss': '1.147', 'seg_loss': '0.5888', 'dino_loss': '0', 'depth_loss': '0.1641', 'vggt_mse_loss': '0.1635', 'vggt_cos_loss': '0.006016', 'pidinet_loss': '0.07458', 'siglip_loss': '0.3199', 'epoch': '0.3171'} + 98%|███████████████████████████████▎| 8815/9000 [7:44:21<08:28, 2.75s/it][Dataset] cur_step=8816 phase=D_mixed_covt +[Dataset] cur_step=8816 phase=D_mixed_covt[Dataset] cur_step=8816 phase=D_mixed_covt +[Dataset] cur_step=8816 phase=D_mixed_covt + +[Dataset] cur_step=8816 phase=D_mixed_covt +[Dataset] cur_step=8816 phase=D_mixed_covt + 98%|███████████████████████████████▎| 8816/9000 [7:44:21<07:31, 2.45s/it][Dataset] cur_step=8816 phase=D_mixed_covt +[Dataset] cur_step=8816 phase=D_mixed_covt + {'loss': '2.538', 'grad_norm': '8.44', 'learning_rate': '5.711e-08', 'epoch': '0.3172'} + 98%|███████████████████████████████▎| 8816/9000 [7:44:21<07:31, 2.45s/it] {'lm_loss': '0.1109', 'visual_loss': '2.745', 'seg_loss': '0.9238', 'dino_loss': '0.9042', 'depth_loss': '0.2579', 'vggt_mse_loss': '0.2556', 'vggt_cos_loss': '0.02302', 'pidinet_loss': '0.2351', 'siglip_loss': '0.424', 'epoch': '0.3172'} + 98%|███████████████████████████████▎| 8816/9000 [7:44:22<07:31, 2.45s/it][Dataset] cur_step=8817 phase=D_mixed_covt +[Dataset] cur_step=8817 phase=D_mixed_covt[Dataset] cur_step=8817 phase=D_mixed_covt + +[Dataset] cur_step=8817 phase=D_mixed_covt +[Dataset] cur_step=8817 phase=D_mixed_covt +[Dataset] cur_step=8817 phase=D_mixed_covt +[Dataset] cur_step=8817 phase=D_mixed_covt +[Dataset] cur_step=8817 phase=D_mixed_covt + 98%|███████████████████████████████▎| 8817/9000 [7:44:23<06:53, 2.26s/it] {'loss': '3.438', 'grad_norm': '3.084', 'learning_rate': '5.65e-08', 'epoch': '0.3172'} + 98%|███████████████████████████████▎| 8817/9000 [7:44:23<06:53, 2.26s/it] {'lm_loss': '0.6941', 'visual_loss': '2.444', 'seg_loss': '0.6392', 'dino_loss': '0.8782', 'depth_loss': '0.2456', 'vggt_mse_loss': '0.2439', 'vggt_cos_loss': '0.01677', 'pidinet_loss': '0.1861', 'siglip_loss': '0.4947', 'epoch': '0.3172'} + 98%|███████████████████████████████▎| 8817/9000 [7:44:26<06:53, 2.26s/it][Dataset] cur_step=8818 phase=D_mixed_covt +[Dataset] cur_step=8818 phase=D_mixed_covt +[Dataset] cur_step=8818 phase=D_mixed_covt[Dataset] cur_step=8818 phase=D_mixed_covt[Dataset] cur_step=8818 phase=D_mixed_covt + + + 98%|███████████████████████████████▎| 8818/9000 [7:44:26<07:42, 2.54s/it][Dataset] cur_step=8818 phase=D_mixed_covt +[Dataset] cur_step=8818 phase=D_mixed_covt +[Dataset] cur_step=8818 phase=D_mixed_covt + {'loss': '3.272', 'grad_norm': '2.025', 'learning_rate': '5.588e-08', 'epoch': '0.3172'} + 98%|███████████████████████████████▎| 8818/9000 [7:44:26<07:42, 2.54s/it] {'lm_loss': '0.5083', 'visual_loss': '2.559', 'seg_loss': '0.7375', 'dino_loss': '0.9469', 'depth_loss': '0.2364', 'vggt_mse_loss': '0.2345', 'vggt_cos_loss': '0.01911', 'pidinet_loss': '0.251', 'siglip_loss': '0.387', 'epoch': '0.3172'} + 98%|███████████████████████████████▎| 8818/9000 [7:44:29<07:42, 2.54s/it][Dataset] cur_step=8819 phase=D_mixed_covt +[Dataset] cur_step=8819 phase=D_mixed_covt +[Dataset] cur_step=8819 phase=D_mixed_covt +[Dataset] cur_step=8819 phase=D_mixed_covt +[Dataset] cur_step=8819 phase=D_mixed_covt +[Dataset] cur_step=8819 phase=D_mixed_covt[Dataset] cur_step=8819 phase=D_mixed_covt + + 98%|███████████████████████████████▎| 8819/9000 [7:44:32<10:43, 3.56s/it][Dataset] cur_step=8819 phase=D_mixed_covt + {'loss': '3.004', 'grad_norm': '2.123', 'learning_rate': '5.527e-08', 'epoch': '0.3173'} + 98%|███████████████████████████████▎| 8819/9000 [7:44:32<10:43, 3.56s/it] {'lm_loss': '1.074', 'visual_loss': '2.333', 'seg_loss': '0.6729', 'dino_loss': '0.9119', 'depth_loss': '0.2261', 'vggt_mse_loss': '0.2247', 'vggt_cos_loss': '0.01415', 'pidinet_loss': '0.2072', 'siglip_loss': '0.315', 'epoch': '0.3173'} + 98%|███████████████████████████████▎| 8819/9000 [7:44:34<10:43, 3.56s/it][Dataset] cur_step=8820 phase=D_mixed_covt +[Dataset] cur_step=8820 phase=D_mixed_covt +[Dataset] cur_step=8820 phase=D_mixed_covt[Dataset] cur_step=8820 phase=D_mixed_covt + +[Dataset] cur_step=8820 phase=D_mixed_covt 98%|███████████████████████████████▎| 8820/9000 [7:44:35<10:31, 3.51s/it] +[Dataset] cur_step=8820 phase=D_mixed_covt +[Dataset] cur_step=8820 phase=D_mixed_covt +[Dataset] cur_step=8820 phase=D_mixed_covt + {'loss': '3.344', 'grad_norm': '2.233', 'learning_rate': '5.466e-08', 'epoch': '0.3173'} + 98%|███████████████████████████████▎| 8820/9000 [7:44:35<10:31, 3.51s/it] {'lm_loss': '0.7854', 'visual_loss': '2.897', 'seg_loss': '0.6536', 'dino_loss': '0.8721', 'depth_loss': '0.1674', 'vggt_mse_loss': '0.1659', 'vggt_cos_loss': '0.01422', 'pidinet_loss': '0.34', 'siglip_loss': '0.8637', 'epoch': '0.3173'} + 98%|███████████████████████████████▎| 8820/9000 [7:44:36<10:31, 3.51s/it][Dataset] cur_step=8821 phase=D_mixed_covt +[Dataset] cur_step=8821 phase=D_mixed_covt[Dataset] cur_step=8821 phase=D_mixed_covt + +[Dataset] cur_step=8821 phase=D_mixed_covt +[Dataset] cur_step=8821 phase=D_mixed_covt + 98%|███████████████████████████████▎| 8821/9000 [7:44:37<09:02, 3.03s/it][Dataset] cur_step=8821 phase=D_mixed_covt +[Dataset] cur_step=8821 phase=D_mixed_covt +[Dataset] cur_step=8821 phase=D_mixed_covt + {'loss': '3.154', 'grad_norm': '3.086', 'learning_rate': '5.405e-08', 'epoch': '0.3173'} + 98%|███████████████████████████████▎| 8821/9000 [7:44:37<09:02, 3.03s/it] {'lm_loss': '0.5175', 'visual_loss': '3.219', 'seg_loss': '0.654', 'dino_loss': '0.954', 'depth_loss': '0.6585', 'vggt_mse_loss': '0.6523', 'vggt_cos_loss': '0.06154', 'pidinet_loss': '0.2747', 'siglip_loss': '0.6779', 'epoch': '0.3173'} + 98%|███████████████████████████████▎| 8821/9000 [7:44:39<09:02, 3.03s/it][Dataset] cur_step=8822 phase=D_mixed_covt +[Dataset] cur_step=8822 phase=D_mixed_covt +[Dataset] cur_step=8822 phase=D_mixed_covt +[Dataset] cur_step=8822 phase=D_mixed_covt +[Dataset] cur_step=8822 phase=D_mixed_covt +[Dataset] cur_step=8822 phase=D_mixed_covt[Dataset] cur_step=8822 phase=D_mixed_covt + +[Dataset] cur_step=8822 phase=D_mixed_covt 98%|███████████████████████████████▎| 8822/9000 [7:44:40<08:46, 2.96s/it] + {'loss': '3.284', 'grad_norm': '2.896', 'learning_rate': '5.345e-08', 'epoch': '0.3174'} + 98%|███████████████████████████████▎| 8822/9000 [7:44:40<08:46, 2.96s/it] {'lm_loss': '0.3903', 'visual_loss': '2.575', 'seg_loss': '0.6607', 'dino_loss': '0.9181', 'depth_loss': '0.2281', 'vggt_mse_loss': '0.2263', 'vggt_cos_loss': '0.01822', 'pidinet_loss': '0.2476', 'siglip_loss': '0.5203', 'epoch': '0.3174'} + 98%|███████████████████████████████▎| 8822/9000 [7:44:43<08:46, 2.96s/it][Dataset] cur_step=8823 phase=D_mixed_covt +[Dataset] cur_step=8823 phase=D_mixed_covt +[Dataset] cur_step=8823 phase=D_mixed_covt +[Dataset] cur_step=8823 phase=D_mixed_covt +[Dataset] cur_step=8823 phase=D_mixed_covt +[Dataset] cur_step=8823 phase=D_mixed_covt + 98%|███████████████████████████████▎| 8823/9000 [7:44:44<09:25, 3.19s/it][Dataset] cur_step=8823 phase=D_mixed_covt +[Dataset] cur_step=8823 phase=D_mixed_covt + {'loss': '3.296', 'grad_norm': '3.471', 'learning_rate': '5.285e-08', 'epoch': '0.3174'} + 98%|███████████████████████████████▎| 8823/9000 [7:44:44<09:25, 3.19s/it] {'lm_loss': '0.665', 'visual_loss': '2.446', 'seg_loss': '0.559', 'dino_loss': '0.8999', 'depth_loss': '0.1928', 'vggt_mse_loss': '0.1916', 'vggt_cos_loss': '0.01117', 'pidinet_loss': '0.2171', 'siglip_loss': '0.5767', 'epoch': '0.3174'} + 98%|███████████████████████████████▎| 8823/9000 [7:44:46<09:25, 3.19s/it][Dataset] cur_step=8824 phase=D_mixed_covt +[Dataset] cur_step=8824 phase=D_mixed_covt +[Dataset] cur_step=8824 phase=D_mixed_covt[Dataset] cur_step=8824 phase=D_mixed_covt + +[Dataset] cur_step=8824 phase=D_mixed_covt +[Dataset] cur_step=8824 phase=D_mixed_covt + 98%|███████████████████████████████▎| 8824/9000 [7:44:46<08:42, 2.97s/it][Dataset] cur_step=8824 phase=D_mixed_covt +[Dataset] cur_step=8824 phase=D_mixed_covt + {'loss': '3.456', 'grad_norm': '2.902', 'learning_rate': '5.226e-08', 'epoch': '0.3174'} + 98%|███████████████████████████████▎| 8824/9000 [7:44:46<08:42, 2.97s/it] {'lm_loss': '0.3754', 'visual_loss': '2.847', 'seg_loss': '0.638', 'dino_loss': '0.9053', 'depth_loss': '0.2595', 'vggt_mse_loss': '0.2576', 'vggt_cos_loss': '0.01844', 'pidinet_loss': '0.2158', 'siglip_loss': '0.8281', 'epoch': '0.3174'} + 98%|███████████████████████████████▎| 8824/9000 [7:44:48<08:42, 2.97s/it][Dataset] cur_step=8825 phase=D_mixed_covt +[Dataset] cur_step=8825 phase=D_mixed_covt[Dataset] cur_step=8825 phase=D_mixed_covt[Dataset] cur_step=8825 phase=D_mixed_covt + + + 98%|███████████████████████████████▍| 8825/9000 [7:44:49<08:23, 2.88s/it][Dataset] cur_step=8825 phase=D_mixed_covt +[Dataset] cur_step=8825 phase=D_mixed_covt +[Dataset] cur_step=8825 phase=D_mixed_covt +[Dataset] cur_step=8825 phase=D_mixed_covt + {'loss': '3.185', 'grad_norm': '3.206', 'learning_rate': '5.167e-08', 'epoch': '0.3175'} + 98%|███████████████████████████████▍| 8825/9000 [7:44:49<08:23, 2.88s/it] {'lm_loss': '0.5395', 'visual_loss': '2.884', 'seg_loss': '0.7072', 'dino_loss': '0.9122', 'depth_loss': '0.2472', 'vggt_mse_loss': '0.2451', 'vggt_cos_loss': '0.0205', 'pidinet_loss': '0.09888', 'siglip_loss': '0.918', 'epoch': '0.3175'} + 98%|███████████████████████████████▍| 8825/9000 [7:44:52<08:23, 2.88s/it][Dataset] cur_step=8826 phase=D_mixed_covt +[Dataset] cur_step=8826 phase=D_mixed_covt[Dataset] cur_step=8826 phase=D_mixed_covt + +[Dataset] cur_step=8826 phase=D_mixed_covt +[Dataset] cur_step=8826 phase=D_mixed_covt + 98%|███████████████████████████████▍| 8826/9000 [7:44:52<08:47, 3.03s/it][Dataset] cur_step=8826 phase=D_mixed_covt +[Dataset] cur_step=8826 phase=D_mixed_covt +[Dataset] cur_step=8826 phase=D_mixed_covt + {'loss': '3.202', 'grad_norm': '5.507', 'learning_rate': '5.108e-08', 'epoch': '0.3175'} + 98%|███████████████████████████████▍| 8826/9000 [7:44:52<08:47, 3.03s/it] {'lm_loss': '0.7603', 'visual_loss': '1.421', 'seg_loss': '0.6589', 'dino_loss': '0', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2385', 'siglip_loss': '0.5233', 'epoch': '0.3175'} + 98%|███████████████████████████████▍| 8826/9000 [7:44:55<08:47, 3.03s/it][Dataset] cur_step=8827 phase=D_mixed_covt +[Dataset] cur_step=8827 phase=D_mixed_covt +[Dataset] cur_step=8827 phase=D_mixed_covt +[Dataset] cur_step=8827 phase=D_mixed_covt +[Dataset] cur_step=8827 phase=D_mixed_covt +[Dataset] cur_step=8827 phase=D_mixed_covt +[Dataset] cur_step=8827 phase=D_mixed_covt +[Dataset] cur_step=8827 phase=D_mixed_covt + 98%|███████████████████████████████▍| 8827/9000 [7:44:55<08:37, 2.99s/it] {'loss': '2.342', 'grad_norm': '2.976', 'learning_rate': '5.049e-08', 'epoch': '0.3176'} + 98%|███████████████████████████████▍| 8827/9000 [7:44:55<08:37, 2.99s/it] {'lm_loss': '0.05487', 'visual_loss': '2.487', 'seg_loss': '0.734', 'dino_loss': '0.8749', 'depth_loss': '0.1838', 'vggt_mse_loss': '0.1824', 'vggt_cos_loss': '0.01348', 'pidinet_loss': '0.1829', 'siglip_loss': '0.5112', 'epoch': '0.3176'} + 98%|███████████████████████████████▍| 8827/9000 [7:44:58<08:37, 2.99s/it][Dataset] cur_step=8828 phase=D_mixed_covt +[Dataset] cur_step=8828 phase=D_mixed_covt[Dataset] cur_step=8828 phase=D_mixed_covt +[Dataset] cur_step=8828 phase=D_mixed_covt + + 98%|███████████████████████████████▍| 8828/9000 [7:44:59<09:37, 3.36s/it][Dataset] cur_step=8828 phase=D_mixed_covt +[Dataset] cur_step=8828 phase=D_mixed_covt +[Dataset] cur_step=8828 phase=D_mixed_covt +[Dataset] cur_step=8828 phase=D_mixed_covt + {'loss': '2.963', 'grad_norm': '2.585', 'learning_rate': '4.991e-08', 'epoch': '0.3176'} + 98%|███████████████████████████████▍| 8828/9000 [7:44:59<09:37, 3.36s/it] {'lm_loss': '0.6716', 'visual_loss': '2.85', 'seg_loss': '0.8058', 'dino_loss': '0.929', 'depth_loss': '0.302', 'vggt_mse_loss': '0.2996', 'vggt_cos_loss': '0.02449', 'pidinet_loss': '0.232', 'siglip_loss': '0.5812', 'epoch': '0.3176'} + 98%|███████████████████████████████▍| 8828/9000 [7:45:02<09:37, 3.36s/it][Dataset] cur_step=8829 phase=D_mixed_covt +[Dataset] cur_step=8829 phase=D_mixed_covt[Dataset] cur_step=8829 phase=D_mixed_covt + +[Dataset] cur_step=8829 phase=D_mixed_covt + 98%|███████████████████████████████▍| 8829/9000 [7:45:02<09:22, 3.29s/it][Dataset] cur_step=8829 phase=D_mixed_covt +[Dataset] cur_step=8829 phase=D_mixed_covt +[Dataset] cur_step=8829 phase=D_mixed_covt +[Dataset] cur_step=8829 phase=D_mixed_covt + {'loss': '3.418', 'grad_norm': '2.338', 'learning_rate': '4.933e-08', 'epoch': '0.3176'} + 98%|███████████████████████████████▍| 8829/9000 [7:45:02<09:22, 3.29s/it] {'lm_loss': '0.7505', 'visual_loss': '2.324', 'seg_loss': '0.6917', 'dino_loss': '0.8896', 'depth_loss': '0.2005', 'vggt_mse_loss': '0.1991', 'vggt_cos_loss': '0.01457', 'pidinet_loss': '0.2518', 'siglip_loss': '0.2907', 'epoch': '0.3176'} + 98%|███████████████████████████████▍| 8829/9000 [7:45:05<09:22, 3.29s/it][Dataset] cur_step=8830 phase=D_mixed_covt +[Dataset] cur_step=8830 phase=D_mixed_covt +[Dataset] cur_step=8830 phase=D_mixed_covt +[Dataset] cur_step=8830 phase=D_mixed_covt[Dataset] cur_step=8830 phase=D_mixed_covt + + 98%|███████████████████████████████▍| 8830/9000 [7:45:05<08:44, 3.09s/it][Dataset] cur_step=8830 phase=D_mixed_covt +[Dataset] cur_step=8830 phase=D_mixed_covt +[Dataset] cur_step=8830 phase=D_mixed_covt + {'loss': '3.209', 'grad_norm': '2.806', 'learning_rate': '4.876e-08', 'epoch': '0.3177'} + 98%|███████████████████████████████▍| 8830/9000 [7:45:05<08:44, 3.09s/it] {'lm_loss': '0.2054', 'visual_loss': '2.775', 'seg_loss': '0.631', 'dino_loss': '0.9427', 'depth_loss': '0.3467', 'vggt_mse_loss': '0.3439', 'vggt_cos_loss': '0.02763', 'pidinet_loss': '0.2118', 'siglip_loss': '0.643', 'epoch': '0.3177'} + 98%|███████████████████████████████▍| 8830/9000 [7:45:07<08:44, 3.09s/it][Dataset] cur_step=8831 phase=D_mixed_covt +[Dataset] cur_step=8831 phase=D_mixed_covt[Dataset] cur_step=8831 phase=D_mixed_covt + +[Dataset] cur_step=8831 phase=D_mixed_covt +[Dataset] cur_step=8831 phase=D_mixed_covt +[Dataset] cur_step=8831 phase=D_mixed_covt[Dataset] cur_step=8831 phase=D_mixed_covt + + 98%|███████████████████████████████▍| 8831/9000 [7:45:08<08:27, 3.01s/it][Dataset] cur_step=8831 phase=D_mixed_covt + {'loss': '3.177', 'grad_norm': '3.639', 'learning_rate': '4.818e-08', 'epoch': '0.3177'} + 98%|███████████████████████████████▍| 8831/9000 [7:45:08<08:27, 3.01s/it] {'lm_loss': '0.8228', 'visual_loss': '2.467', 'seg_loss': '0.6353', 'dino_loss': '0.9266', 'depth_loss': '0.2063', 'vggt_mse_loss': '0.2047', 'vggt_cos_loss': '0.01568', 'pidinet_loss': '0.2169', 'siglip_loss': '0.4821', 'epoch': '0.3177'} + 98%|███████████████████████████████▍| 8831/9000 [7:45:10<08:27, 3.01s/it][Dataset] cur_step=8832 phase=D_mixed_covt +[Dataset] cur_step=8832 phase=D_mixed_covt +[Dataset] cur_step=8832 phase=D_mixed_covt +[Dataset] cur_step=8832 phase=D_mixed_covt[Dataset] cur_step=8832 phase=D_mixed_covt + + 98%|███████████████████████████████▍| 8832/9000 [7:45:11<08:41, 3.10s/it][Dataset] cur_step=8832 phase=D_mixed_covt +[Dataset] cur_step=8832 phase=D_mixed_covt +[Dataset] cur_step=8832 phase=D_mixed_covt + {'loss': '3.098', 'grad_norm': '1.781', 'learning_rate': '4.762e-08', 'epoch': '0.3177'} + 98%|███████████████████████████████▍| 8832/9000 [7:45:11<08:41, 3.10s/it] {'lm_loss': '0.3432', 'visual_loss': '2.37', 'seg_loss': '0.6816', 'dino_loss': '0.8833', 'depth_loss': '0.2037', 'vggt_mse_loss': '0.2024', 'vggt_cos_loss': '0.01387', 'pidinet_loss': '0.204', 'siglip_loss': '0.3975', 'epoch': '0.3177'} + 98%|███████████████████████████████▍| 8832/9000 [7:45:14<08:41, 3.10s/it][Dataset] cur_step=8833 phase=D_mixed_covt +[Dataset] cur_step=8833 phase=D_mixed_covt +[Dataset] cur_step=8833 phase=D_mixed_covt + 98%|███████████████████████████████▍| 8833/9000 [7:45:14<08:44, 3.14s/it][Dataset] cur_step=8833 phase=D_mixed_covt +[Dataset] cur_step=8833 phase=D_mixed_covt +[Dataset] cur_step=8833 phase=D_mixed_covt +[Dataset] cur_step=8833 phase=D_mixed_covt +[Dataset] cur_step=8833 phase=D_mixed_covt + {'loss': '3.267', 'grad_norm': '8.725', 'learning_rate': '4.705e-08', 'epoch': '0.3178'} + 98%|███████████████████████████████▍| 8833/9000 [7:45:14<08:44, 3.14s/it] {'lm_loss': '0.758', 'visual_loss': '2.862', 'seg_loss': '0.7516', 'dino_loss': '0.9337', 'depth_loss': '0.2127', 'vggt_mse_loss': '0.2112', 'vggt_cos_loss': '0.01542', 'pidinet_loss': '0.2749', 'siglip_loss': '0.6894', 'epoch': '0.3178'} + 98%|███████████████████████████████▍| 8833/9000 [7:45:16<08:44, 3.14s/it][Dataset] cur_step=8834 phase=D_mixed_covt[Dataset] cur_step=8834 phase=D_mixed_covt +[Dataset] cur_step=8834 phase=D_mixed_covt + +[Dataset] cur_step=8834 phase=D_mixed_covt + 98%|███████████████████████████████▍| 8834/9000 [7:45:17<08:22, 3.03s/it][Dataset] cur_step=8834 phase=D_mixed_covt +[Dataset] cur_step=8834 phase=D_mixed_covt +[Dataset] cur_step=8834 phase=D_mixed_covt +[Dataset] cur_step=8834 phase=D_mixed_covt + {'loss': '3.134', 'grad_norm': '7.22', 'learning_rate': '4.649e-08', 'epoch': '0.3178'} + 98%|███████████████████████████████▍| 8834/9000 [7:45:17<08:22, 3.03s/it] {'lm_loss': '0.5446', 'visual_loss': '2.902', 'seg_loss': '0.7779', 'dino_loss': '0.9034', 'depth_loss': '0.3011', 'vggt_mse_loss': '0.2987', 'vggt_cos_loss': '0.02418', 'pidinet_loss': '0.2497', 'siglip_loss': '0.6704', 'epoch': '0.3178'} + 98%|███████████████████████████████▍| 8834/9000 [7:45:19<08:22, 3.03s/it][Dataset] cur_step=8835 phase=D_mixed_covt +[Dataset] cur_step=8835 phase=D_mixed_covt +[Dataset] cur_step=8835 phase=D_mixed_covt +[Dataset] cur_step=8835 phase=D_mixed_covt[Dataset] cur_step=8835 phase=D_mixed_covt[Dataset] cur_step=8835 phase=D_mixed_covt + + + 98%|███████████████████████████████▍| 8835/9000 [7:45:20<07:58, 2.90s/it][Dataset] cur_step=8835 phase=D_mixed_covt +[Dataset] cur_step=8835 phase=D_mixed_covt + {'loss': '3.054', 'grad_norm': '6.305', 'learning_rate': '4.593e-08', 'epoch': '0.3178'} + 98%|███████████████████████████████▍| 8835/9000 [7:45:20<07:58, 2.90s/it] {'lm_loss': '0.6162', 'visual_loss': '1.556', 'seg_loss': '0.9281', 'dino_loss': '0', 'depth_loss': '0.3858', 'vggt_mse_loss': '0.3814', 'vggt_cos_loss': '0.04497', 'pidinet_loss': '0.2425', 'siglip_loss': '0', 'epoch': '0.3178'} + 98%|███████████████████████████████▍| 8835/9000 [7:45:21<07:58, 2.90s/it][Dataset] cur_step=8836 phase=D_mixed_covt +[Dataset] cur_step=8836 phase=D_mixed_covt +[Dataset] cur_step=8836 phase=D_mixed_covt +[Dataset] cur_step=8836 phase=D_mixed_covt +[Dataset] cur_step=8836 phase=D_mixed_covt +[Dataset] cur_step=8836 phase=D_mixed_covt +[Dataset] cur_step=8836 phase=D_mixed_covt + 98%|███████████████████████████████▍| 8836/9000 [7:45:22<07:13, 2.64s/it][Dataset] cur_step=8836 phase=D_mixed_covt + {'loss': '1.834', 'grad_norm': '2.9', 'learning_rate': '4.538e-08', 'epoch': '0.3179'} + 98%|███████████████████████████████▍| 8836/9000 [7:45:22<07:13, 2.64s/it] {'lm_loss': '0.351', 'visual_loss': '2.715', 'seg_loss': '0.6207', 'dino_loss': '0.9276', 'depth_loss': '0.3624', 'vggt_mse_loss': '0.3592', 'vggt_cos_loss': '0.03217', 'pidinet_loss': '0.3063', 'siglip_loss': '0.4977', 'epoch': '0.3179'} + 98%|███████████████████████████████▍| 8836/9000 [7:45:24<07:13, 2.64s/it][Dataset] cur_step=8837 phase=D_mixed_covt +[Dataset] cur_step=8837 phase=D_mixed_covt[Dataset] cur_step=8837 phase=D_mixed_covt[Dataset] cur_step=8837 phase=D_mixed_covt + + +[Dataset] cur_step=8837 phase=D_mixed_covt +[Dataset] cur_step=8837 phase=D_mixed_covt 98%|███████████████████████████████▍| 8837/9000 [7:45:24<07:07, 2.62s/it] +[Dataset] cur_step=8837 phase=D_mixed_covt +[Dataset] cur_step=8837 phase=D_mixed_covt + {'loss': '3.125', 'grad_norm': '2.452', 'learning_rate': '4.483e-08', 'epoch': '0.3179'} + 98%|███████████████████████████████▍| 8837/9000 [7:45:24<07:07, 2.62s/it] {'lm_loss': '1.042', 'visual_loss': '2.44', 'seg_loss': '0.6174', 'dino_loss': '0.9105', 'depth_loss': '0.2344', 'vggt_mse_loss': '0.2326', 'vggt_cos_loss': '0.01886', 'pidinet_loss': '0.2388', 'siglip_loss': '0.4388', 'epoch': '0.3179'} + 98%|███████████████████████████████▍| 8837/9000 [7:45:26<07:07, 2.62s/it][Dataset] cur_step=8838 phase=D_mixed_covt +[Dataset] cur_step=8838 phase=D_mixed_covt +[Dataset] cur_step=8838 phase=D_mixed_covt + 98%|███████████████████████████████▍| 8838/9000 [7:45:26<06:39, 2.47s/it][Dataset] cur_step=8838 phase=D_mixed_covt +[Dataset] cur_step=8838 phase=D_mixed_covt +[Dataset] cur_step=8838 phase=D_mixed_covt +[Dataset] cur_step=8838 phase=D_mixed_covt +[Dataset] cur_step=8838 phase=D_mixed_covt + {'loss': '3.456', 'grad_norm': '7.743', 'learning_rate': '4.428e-08', 'epoch': '0.3179'} + 98%|███████████████████████████████▍| 8838/9000 [7:45:26<06:39, 2.47s/it] {'lm_loss': '0.7923', 'visual_loss': '2.206', 'seg_loss': '0.5186', 'dino_loss': '0.8884', 'depth_loss': '0.1781', 'vggt_mse_loss': '0.177', 'vggt_cos_loss': '0.01088', 'pidinet_loss': '0.1914', 'siglip_loss': '0.4293', 'epoch': '0.3179'} + 98%|███████████████████████████████▍| 8838/9000 [7:45:28<06:39, 2.47s/it][Dataset] cur_step=8839 phase=D_mixed_covt +[Dataset] cur_step=8839 phase=D_mixed_covt +[Dataset] cur_step=8839 phase=D_mixed_covt + 98%|███████████████████████████████▍| 8839/9000 [7:45:29<06:20, 2.36s/it][Dataset] cur_step=8839 phase=D_mixed_covt[Dataset] cur_step=8839 phase=D_mixed_covt[Dataset] cur_step=8839 phase=D_mixed_covt +[Dataset] cur_step=8839 phase=D_mixed_covt + + +[Dataset] cur_step=8839 phase=D_mixed_covt + {'loss': '3.188', 'grad_norm': '4.936', 'learning_rate': '4.373e-08', 'epoch': '0.318'} + 98%|███████████████████████████████▍| 8839/9000 [7:45:29<06:20, 2.36s/it] {'lm_loss': '0.6891', 'visual_loss': '2.861', 'seg_loss': '0.6307', 'dino_loss': '0.9423', 'depth_loss': '0.3138', 'vggt_mse_loss': '0.3115', 'vggt_cos_loss': '0.0232', 'pidinet_loss': '0.3143', 'siglip_loss': '0.6595', 'epoch': '0.318'} + 98%|███████████████████████████████▍| 8839/9000 [7:45:30<06:20, 2.36s/it][Dataset] cur_step=8840 phase=D_mixed_covt +[Dataset] cur_step=8840 phase=D_mixed_covt +[Dataset] cur_step=8840 phase=D_mixed_covt +[Dataset] cur_step=8840 phase=D_mixed_covt 98%|███████████████████████████████▍| 8840/9000 [7:45:30<05:52, 2.21s/it] +[Dataset] cur_step=8840 phase=D_mixed_covt +[Dataset] cur_step=8840 phase=D_mixed_covt +[Dataset] cur_step=8840 phase=D_mixed_covt +[Dataset] cur_step=8840 phase=D_mixed_covt + {'loss': '3.275', 'grad_norm': '2.829', 'learning_rate': '4.319e-08', 'epoch': '0.318'} + 98%|███████████████████████████████▍| 8840/9000 [7:45:30<05:52, 2.21s/it] {'lm_loss': '0.3163', 'visual_loss': '2.617', 'seg_loss': '0.5347', 'dino_loss': '0.8997', 'depth_loss': '0.2036', 'vggt_mse_loss': '0.2025', 'vggt_cos_loss': '0.01108', 'pidinet_loss': '0.2787', 'siglip_loss': '0.7001', 'epoch': '0.318'} + 98%|███████████████████████████████▍| 8840/9000 [7:45:33<05:52, 2.21s/it][Dataset] cur_step=8841 phase=D_mixed_covt[Dataset] cur_step=8841 phase=D_mixed_covt + +[Dataset] cur_step=8841 phase=D_mixed_covt + 98%|███████████████████████████████▍| 8841/9000 [7:45:33<06:16, 2.37s/it][Dataset] cur_step=8841 phase=D_mixed_covt +[Dataset] cur_step=8841 phase=D_mixed_covt +[Dataset] cur_step=8841 phase=D_mixed_covt[Dataset] cur_step=8841 phase=D_mixed_covt[Dataset] cur_step=8841 phase=D_mixed_covt + + + {'loss': '3.123', 'grad_norm': '2.42', 'learning_rate': '4.265e-08', 'epoch': '0.3181'} + 98%|███████████████████████████████▍| 8841/9000 [7:45:33<06:16, 2.37s/it] {'lm_loss': '0.4404', 'visual_loss': '2.747', 'seg_loss': '0.7934', 'dino_loss': '0.8726', 'depth_loss': '0.1717', 'vggt_mse_loss': '0.1705', 'vggt_cos_loss': '0.01135', 'pidinet_loss': '0.2198', 'siglip_loss': '0.6893', 'epoch': '0.3181'} + 98%|███████████████████████████████▍| 8841/9000 [7:45:35<06:16, 2.37s/it][Dataset] cur_step=8842 phase=D_mixed_covt +[Dataset] cur_step=8842 phase=D_mixed_covt[Dataset] cur_step=8842 phase=D_mixed_covt + +[Dataset] cur_step=8842 phase=D_mixed_covt[Dataset] cur_step=8842 phase=D_mixed_covt[Dataset] cur_step=8842 phase=D_mixed_covt +[Dataset] cur_step=8842 phase=D_mixed_covt + + +[Dataset] cur_step=8842 phase=D_mixed_covt + 98%|███████████████████████████████▍| 8842/9000 [7:45:36<06:55, 2.63s/it] {'loss': '3.054', 'grad_norm': '2.706', 'learning_rate': '4.212e-08', 'epoch': '0.3181'} + 98%|███████████████████████████████▍| 8842/9000 [7:45:36<06:55, 2.63s/it] {'lm_loss': '0.6539', 'visual_loss': '2.384', 'seg_loss': '0.7865', 'dino_loss': '0.9156', 'depth_loss': '0.2453', 'vggt_mse_loss': '0.2435', 'vggt_cos_loss': '0.01784', 'pidinet_loss': '0.1495', 'siglip_loss': '0.2874', 'epoch': '0.3181'} + 98%|███████████████████████████████▍| 8842/9000 [7:45:38<06:55, 2.63s/it][Dataset] cur_step=8843 phase=D_mixed_covt +[Dataset] cur_step=8843 phase=D_mixed_covt +[Dataset] cur_step=8843 phase=D_mixed_covt +[Dataset] cur_step=8843 phase=D_mixed_covt +[Dataset] cur_step=8843 phase=D_mixed_covt +[Dataset] cur_step=8843 phase=D_mixed_covt +[Dataset] cur_step=8843 phase=D_mixed_covt +[Dataset] cur_step=8843 phase=D_mixed_covt + 98%|███████████████████████████████▍| 8843/9000 [7:45:39<06:54, 2.64s/it] {'loss': '3.385', 'grad_norm': '20.54', 'learning_rate': '4.159e-08', 'epoch': '0.3181'} + 98%|███████████████████████████████▍| 8843/9000 [7:45:39<06:54, 2.64s/it] {'lm_loss': '0.7155', 'visual_loss': '2.49', 'seg_loss': '0.6589', 'dino_loss': '0.9262', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.3287', 'siglip_loss': '0.5766', 'epoch': '0.3181'} + 98%|███████████████████████████████▍| 8843/9000 [7:45:40<06:54, 2.64s/it][Dataset] cur_step=8844 phase=D_mixed_covt +[Dataset] cur_step=8844 phase=D_mixed_covt +[Dataset] cur_step=8844 phase=D_mixed_covt +[Dataset] cur_step=8844 phase=D_mixed_covt[Dataset] cur_step=8844 phase=D_mixed_covt + +[Dataset] cur_step=8844 phase=D_mixed_covt +[Dataset] cur_step=8844 phase=D_mixed_covt +[Dataset] cur_step=8844 phase=D_mixed_covt + 98%|███████████████████████████████▍| 8844/9000 [7:45:41<06:06, 2.35s/it] {'loss': '2.947', 'grad_norm': '7.536', 'learning_rate': '4.106e-08', 'epoch': '0.3182'} + 98%|███████████████████████████████▍| 8844/9000 [7:45:41<06:06, 2.35s/it] {'lm_loss': '0.3915', 'visual_loss': '2.71', 'seg_loss': '0.7282', 'dino_loss': '0.923', 'depth_loss': '0.2446', 'vggt_mse_loss': '0.2428', 'vggt_cos_loss': '0.01781', 'pidinet_loss': '0.2351', 'siglip_loss': '0.5795', 'epoch': '0.3182'} + 98%|███████████████████████████████▍| 8844/9000 [7:45:43<06:06, 2.35s/it][Dataset] cur_step=8845 phase=D_mixed_covt +[Dataset] cur_step=8845 phase=D_mixed_covt +[Dataset] cur_step=8845 phase=D_mixed_covt[Dataset] cur_step=8845 phase=D_mixed_covt + +[Dataset] cur_step=8845 phase=D_mixed_covt +[Dataset] cur_step=8845 phase=D_mixed_covt[Dataset] cur_step=8845 phase=D_mixed_covt[Dataset] cur_step=8845 phase=D_mixed_covt + + + 98%|███████████████████████████████▍| 8845/9000 [7:45:43<06:16, 2.43s/it] {'loss': '3.308', 'grad_norm': '2.688', 'learning_rate': '4.053e-08', 'epoch': '0.3182'} + 98%|███████████████████████████████▍| 8845/9000 [7:45:43<06:16, 2.43s/it] {'lm_loss': '0.3896', 'visual_loss': '2.625', 'seg_loss': '0.6864', 'dino_loss': '0.9213', 'depth_loss': '0.1882', 'vggt_mse_loss': '0.1871', 'vggt_cos_loss': '0.01035', 'pidinet_loss': '0.2132', 'siglip_loss': '0.6163', 'epoch': '0.3182'} + 98%|███████████████████████████████▍| 8845/9000 [7:45:45<06:16, 2.43s/it][Dataset] cur_step=8846 phase=D_mixed_covt +[Dataset] cur_step=8846 phase=D_mixed_covt +[Dataset] cur_step=8846 phase=D_mixed_covt +[Dataset] cur_step=8846 phase=D_mixed_covt +[Dataset] cur_step=8846 phase=D_mixed_covt + 98%|███████████████████████████████▍| 8846/9000 [7:45:45<05:59, 2.33s/it][Dataset] cur_step=8846 phase=D_mixed_covt +[Dataset] cur_step=8846 phase=D_mixed_covt[Dataset] cur_step=8846 phase=D_mixed_covt + + {'loss': '3.205', 'grad_norm': '4.44', 'learning_rate': '4.001e-08', 'epoch': '0.3182'} + 98%|███████████████████████████████▍| 8846/9000 [7:45:45<05:59, 2.33s/it] {'lm_loss': '0.7522', 'visual_loss': '2.648', 'seg_loss': '0.7362', 'dino_loss': '0.9169', 'depth_loss': '0.3032', 'vggt_mse_loss': '0.3007', 'vggt_cos_loss': '0.02424', 'pidinet_loss': '0.2405', 'siglip_loss': '0.4513', 'epoch': '0.3182'} + 98%|███████████████████████████████▍| 8846/9000 [7:45:47<05:59, 2.33s/it][Dataset] cur_step=8847 phase=D_mixed_covt +[Dataset] cur_step=8847 phase=D_mixed_covt +[Dataset] cur_step=8847 phase=D_mixed_covt[Dataset] cur_step=8847 phase=D_mixed_covt + +[Dataset] cur_step=8847 phase=D_mixed_covt[Dataset] cur_step=8847 phase=D_mixed_covt + +[Dataset] cur_step=8847 phase=D_mixed_covt +[Dataset] cur_step=8847 phase=D_mixed_covt + 98%|███████████████████████████████▍| 8847/9000 [7:45:49<06:44, 2.65s/it] {'loss': '3.285', 'grad_norm': '4.468', 'learning_rate': '3.95e-08', 'epoch': '0.3183'} + 98%|███████████████████████████████▍| 8847/9000 [7:45:49<06:44, 2.65s/it] {'lm_loss': '0.5669', 'visual_loss': '1.646', 'seg_loss': '0.69', 'dino_loss': '0', 'depth_loss': '0.2291', 'vggt_mse_loss': '0.2273', 'vggt_cos_loss': '0.01808', 'pidinet_loss': '0.2527', 'siglip_loss': '0.4741', 'epoch': '0.3183'} + 98%|███████████████████████████████▍| 8847/9000 [7:45:51<06:44, 2.65s/it][Dataset] cur_step=8848 phase=D_mixed_covt +[Dataset] cur_step=8848 phase=D_mixed_covt +[Dataset] cur_step=8848 phase=D_mixed_covt[Dataset] cur_step=8848 phase=D_mixed_covt + +[Dataset] cur_step=8848 phase=D_mixed_covt[Dataset] cur_step=8848 phase=D_mixed_covt + +[Dataset] cur_step=8848 phase=D_mixed_covt + 98%|███████████████████████████████▍| 8848/9000 [7:45:52<07:00, 2.76s/it][Dataset] cur_step=8848 phase=D_mixed_covt + {'loss': '2.151', 'grad_norm': '3.693', 'learning_rate': '3.898e-08', 'epoch': '0.3183'} + 98%|███████████████████████████████▍| 8848/9000 [7:45:52<07:00, 2.76s/it] {'lm_loss': '0.4945', 'visual_loss': '2.729', 'seg_loss': '0.716', 'dino_loss': '0.9167', 'depth_loss': '0.3052', 'vggt_mse_loss': '0.3027', 'vggt_cos_loss': '0.02469', 'pidinet_loss': '0.1986', 'siglip_loss': '0.5929', 'epoch': '0.3183'} + 98%|███████████████████████████████▍| 8848/9000 [7:45:55<07:00, 2.76s/it][Dataset] cur_step=8849 phase=D_mixed_covt +[Dataset] cur_step=8849 phase=D_mixed_covt[Dataset] cur_step=8849 phase=D_mixed_covt + +[Dataset] cur_step=8849 phase=D_mixed_covt +[Dataset] cur_step=8849 phase=D_mixed_covt + 98%|███████████████████████████████▍| 8849/9000 [7:45:55<07:24, 2.94s/it][Dataset] cur_step=8849 phase=D_mixed_covt +[Dataset] cur_step=8849 phase=D_mixed_covt +[Dataset] cur_step=8849 phase=D_mixed_covt + {'loss': '3.419', 'grad_norm': '2.761', 'learning_rate': '3.847e-08', 'epoch': '0.3183'} + 98%|███████████████████████████████▍| 8849/9000 [7:45:55<07:24, 2.94s/it] {'lm_loss': '0.6967', 'visual_loss': '2.355', 'seg_loss': '0.6573', 'dino_loss': '0.9243', 'depth_loss': '0.2144', 'vggt_mse_loss': '0.2132', 'vggt_cos_loss': '0.01206', 'pidinet_loss': '0.1627', 'siglip_loss': '0.3966', 'epoch': '0.3183'} + 98%|███████████████████████████████▍| 8849/9000 [7:45:57<07:24, 2.94s/it][Dataset] cur_step=8850 phase=D_mixed_covt +[Dataset] cur_step=8850 phase=D_mixed_covt +[Dataset] cur_step=8850 phase=D_mixed_covt[Dataset] cur_step=8850 phase=D_mixed_covt + + 98%|███████████████████████████████▍| 8850/9000 [7:45:58<07:02, 2.81s/it][Dataset] cur_step=8850 phase=D_mixed_covt +[Dataset] cur_step=8850 phase=D_mixed_covt +[Dataset] cur_step=8850 phase=D_mixed_covt +[Dataset] cur_step=8850 phase=D_mixed_covt + {'loss': '3.015', 'grad_norm': '2.547', 'learning_rate': '3.796e-08', 'epoch': '0.3184'} + 98%|███████████████████████████████▍| 8850/9000 [7:45:58<07:02, 2.81s/it] {'lm_loss': '0.09045', 'visual_loss': '2.613', 'seg_loss': '0.7472', 'dino_loss': '0.9418', 'depth_loss': '0.2238', 'vggt_mse_loss': '0.2224', 'vggt_cos_loss': '0.0141', 'pidinet_loss': '0.219', 'siglip_loss': '0.4811', 'epoch': '0.3184'} + 98%|███████████████████████████████▍| 8850/9000 [7:46:00<07:02, 2.81s/it][Dataset] cur_step=8851 phase=D_mixed_covt +[Dataset] cur_step=8851 phase=D_mixed_covt[Dataset] cur_step=8851 phase=D_mixed_covt + +[Dataset] cur_step=8851 phase=D_mixed_covt + 98%|███████████████████████████████▍| 8851/9000 [7:46:01<06:58, 2.81s/it][Dataset] cur_step=8851 phase=D_mixed_covt +[Dataset] cur_step=8851 phase=D_mixed_covt +[Dataset] cur_step=8851 phase=D_mixed_covt +[Dataset] cur_step=8851 phase=D_mixed_covt + {'loss': '3.145', 'grad_norm': '2.942', 'learning_rate': '3.746e-08', 'epoch': '0.3184'} + 98%|███████████████████████████████▍| 8851/9000 [7:46:01<06:58, 2.81s/it] {'lm_loss': '0.5698', 'visual_loss': '2.884', 'seg_loss': '0.8636', 'dino_loss': '0.9105', 'depth_loss': '0.2731', 'vggt_mse_loss': '0.2711', 'vggt_cos_loss': '0.02015', 'pidinet_loss': '0.137', 'siglip_loss': '0.7003', 'epoch': '0.3184'} + 98%|███████████████████████████████▍| 8851/9000 [7:46:02<06:58, 2.81s/it][Dataset] cur_step=8852 phase=D_mixed_covt +[Dataset] cur_step=8852 phase=D_mixed_covt +[Dataset] cur_step=8852 phase=D_mixed_covt +[Dataset] cur_step=8852 phase=D_mixed_covt +[Dataset] cur_step=8852 phase=D_mixed_covt[Dataset] cur_step=8852 phase=D_mixed_covt + +[Dataset] cur_step=8852 phase=D_mixed_covt +[Dataset] cur_step=8852 phase=D_mixed_covt + 98%|███████████████████████████████▍| 8852/9000 [7:46:03<06:21, 2.57s/it] {'loss': '3.338', 'grad_norm': '3.774', 'learning_rate': '3.696e-08', 'epoch': '0.3185'} + 98%|███████████████████████████████▍| 8852/9000 [7:46:03<06:21, 2.57s/it] {'lm_loss': '0.5396', 'visual_loss': '2.633', 'seg_loss': '0.7564', 'dino_loss': '0.9026', 'depth_loss': '0.1794', 'vggt_mse_loss': '0.1778', 'vggt_cos_loss': '0.01517', 'pidinet_loss': '0.225', 'siglip_loss': '0.5695', 'epoch': '0.3185'} + 98%|███████████████████████████████▍| 8852/9000 [7:46:05<06:21, 2.57s/it][Dataset] cur_step=8853 phase=D_mixed_covt +[Dataset] cur_step=8853 phase=D_mixed_covt[Dataset] cur_step=8853 phase=D_mixed_covt[Dataset] cur_step=8853 phase=D_mixed_covt + + +[Dataset] cur_step=8853 phase=D_mixed_covt + 98%|███████████████████████████████▍| 8853/9000 [7:46:06<06:43, 2.75s/it][Dataset] cur_step=8853 phase=D_mixed_covt +[Dataset] cur_step=8853 phase=D_mixed_covt[Dataset] cur_step=8853 phase=D_mixed_covt + + {'loss': '3.045', 'grad_norm': '3.427', 'learning_rate': '3.646e-08', 'epoch': '0.3185'} + 98%|███████████████████████████████▍| 8853/9000 [7:46:06<06:43, 2.75s/it] {'lm_loss': '0.1005', 'visual_loss': '3.127', 'seg_loss': '1.003', 'dino_loss': '0.9233', 'depth_loss': '0.4177', 'vggt_mse_loss': '0.4143', 'vggt_cos_loss': '0.03395', 'pidinet_loss': '0.2494', 'siglip_loss': '0.534', 'epoch': '0.3185'} + 98%|███████████████████████████████▍| 8853/9000 [7:46:07<06:43, 2.75s/it][Dataset] cur_step=8854 phase=D_mixed_covt +[Dataset] cur_step=8854 phase=D_mixed_covt +[Dataset] cur_step=8854 phase=D_mixed_covt +[Dataset] cur_step=8854 phase=D_mixed_covt[Dataset] cur_step=8854 phase=D_mixed_covt +[Dataset] cur_step=8854 phase=D_mixed_covt + +[Dataset] cur_step=8854 phase=D_mixed_covt +[Dataset] cur_step=8854 phase=D_mixed_covt 98%|███████████████████████████████▍| 8854/9000 [7:46:08<06:14, 2.57s/it] + {'loss': '3.388', 'grad_norm': '3.64', 'learning_rate': '3.596e-08', 'epoch': '0.3185'} + 98%|███████████████████████████████▍| 8854/9000 [7:46:08<06:14, 2.57s/it] {'lm_loss': '0.6577', 'visual_loss': '2.714', 'seg_loss': '0.8279', 'dino_loss': '0.9122', 'depth_loss': '0.2073', 'vggt_mse_loss': '0.2057', 'vggt_cos_loss': '0.01606', 'pidinet_loss': '0.2097', 'siglip_loss': '0.5569', 'epoch': '0.3185'} + 98%|███████████████████████████████▍| 8854/9000 [7:46:10<06:14, 2.57s/it][Dataset] cur_step=8855 phase=D_mixed_covt[Dataset] cur_step=8855 phase=D_mixed_covt + +[Dataset] cur_step=8855 phase=D_mixed_covt +[Dataset] cur_step=8855 phase=D_mixed_covt +[Dataset] cur_step=8855 phase=D_mixed_covt +[Dataset] cur_step=8855 phase=D_mixed_covt[Dataset] cur_step=8855 phase=D_mixed_covt + +[Dataset] cur_step=8855 phase=D_mixed_covt + 98%|███████████████████████████████▍| 8855/9000 [7:46:10<06:05, 2.52s/it] {'loss': '3.371', 'grad_norm': '4.92', 'learning_rate': '3.547e-08', 'epoch': '0.3186'} + 98%|███████████████████████████████▍| 8855/9000 [7:46:10<06:05, 2.52s/it] {'lm_loss': '0.3234', 'visual_loss': '2.65', 'seg_loss': '0.7082', 'dino_loss': '0.9239', 'depth_loss': '0.2139', 'vggt_mse_loss': '0.2127', 'vggt_cos_loss': '0.01162', 'pidinet_loss': '0.1904', 'siglip_loss': '0.6135', 'epoch': '0.3186'} + 98%|███████████████████████████████▍| 8855/9000 [7:46:12<06:05, 2.52s/it][Dataset] cur_step=8856 phase=D_mixed_covt +[Dataset] cur_step=8856 phase=D_mixed_covt +[Dataset] cur_step=8856 phase=D_mixed_covt +[Dataset] cur_step=8856 phase=D_mixed_covt + 98%|███████████████████████████████▍| 8856/9000 [7:46:13<06:15, 2.61s/it][Dataset] cur_step=8856 phase=D_mixed_covt[Dataset] cur_step=8856 phase=D_mixed_covt + +[Dataset] cur_step=8856 phase=D_mixed_covt +[Dataset] cur_step=8856 phase=D_mixed_covt + {'loss': '3.086', 'grad_norm': '2.492', 'learning_rate': '3.499e-08', 'epoch': '0.3186'} + 98%|███████████████████████████████▍| 8856/9000 [7:46:13<06:15, 2.61s/it] {'lm_loss': '0.5026', 'visual_loss': '2.806', 'seg_loss': '0.8062', 'dino_loss': '0.9077', 'depth_loss': '0.2339', 'vggt_mse_loss': '0.2322', 'vggt_cos_loss': '0.01699', 'pidinet_loss': '0.2136', 'siglip_loss': '0.6445', 'epoch': '0.3186'} + 98%|███████████████████████████████▍| 8856/9000 [7:46:16<06:15, 2.61s/it][Dataset] cur_step=8857 phase=D_mixed_covt +[Dataset] cur_step=8857 phase=D_mixed_covt[Dataset] cur_step=8857 phase=D_mixed_covt + +[Dataset] cur_step=8857 phase=D_mixed_covt[Dataset] cur_step=8857 phase=D_mixed_covt[Dataset] cur_step=8857 phase=D_mixed_covt 98%|███████████████████████████████▍| 8857/9000 [7:46:16<06:41, 2.81s/it] + + +[Dataset] cur_step=8857 phase=D_mixed_covt +[Dataset] cur_step=8857 phase=D_mixed_covt + {'loss': '3.22', 'grad_norm': '3.352', 'learning_rate': '3.45e-08', 'epoch': '0.3186'} + 98%|███████████████████████████████▍| 8857/9000 [7:46:16<06:41, 2.81s/it] {'lm_loss': '1.137', 'visual_loss': '2.706', 'seg_loss': '0.6403', 'dino_loss': '0.8935', 'depth_loss': '0.4507', 'vggt_mse_loss': '0.4477', 'vggt_cos_loss': '0.03016', 'pidinet_loss': '0.2242', 'siglip_loss': '0.4968', 'epoch': '0.3186'} + 98%|███████████████████████████████▍| 8857/9000 [7:46:18<06:41, 2.81s/it][Dataset] cur_step=8858 phase=D_mixed_covt +[Dataset] cur_step=8858 phase=D_mixed_covt[Dataset] cur_step=8858 phase=D_mixed_covt + +[Dataset] cur_step=8858 phase=D_mixed_covt[Dataset] cur_step=8858 phase=D_mixed_covt + +[Dataset] cur_step=8858 phase=D_mixed_covt +[Dataset] cur_step=8858 phase=D_mixed_covt +[Dataset] cur_step=8858 phase=D_mixed_covt 98%|███████████████████████████████▍| 8858/9000 [7:46:18<06:02, 2.55s/it] + {'loss': '3.521', 'grad_norm': '8.133', 'learning_rate': '3.402e-08', 'epoch': '0.3187'} + 98%|███████████████████████████████▍| 8858/9000 [7:46:18<06:02, 2.55s/it] {'lm_loss': '0.4532', 'visual_loss': '2.44', 'seg_loss': '0.5715', 'dino_loss': '0.8826', 'depth_loss': '0.5092', 'vggt_mse_loss': '0.5051', 'vggt_cos_loss': '0.0414', 'pidinet_loss': '0.05649', 'siglip_loss': '0.4204', 'epoch': '0.3187'} + 98%|███████████████████████████████▍| 8858/9000 [7:46:22<06:02, 2.55s/it][Dataset] cur_step=8859 phase=D_mixed_covt +[Dataset] cur_step=8859 phase=D_mixed_covt +[Dataset] cur_step=8859 phase=D_mixed_covt +[Dataset] cur_step=8859 phase=D_mixed_covt[Dataset] cur_step=8859 phase=D_mixed_covt + +[Dataset] cur_step=8859 phase=D_mixed_covt +[Dataset] cur_step=8859 phase=D_mixed_covt 98%|███████████████████████████████▍| 8859/9000 [7:46:23<07:07, 3.03s/it] +[Dataset] cur_step=8859 phase=D_mixed_covt + {'loss': '3.185', 'grad_norm': '3.236', 'learning_rate': '3.354e-08', 'epoch': '0.3187'} + 98%|███████████████████████████████▍| 8859/9000 [7:46:23<07:07, 3.03s/it] {'lm_loss': '0.7895', 'visual_loss': '1.893', 'seg_loss': '0.5265', 'dino_loss': '0.835', 'depth_loss': '0.1923', 'vggt_mse_loss': '0.1918', 'vggt_cos_loss': '0.005498', 'pidinet_loss': '0.1501', 'siglip_loss': '0.1891', 'epoch': '0.3187'} + 98%|███████████████████████████████▍| 8859/9000 [7:46:24<07:07, 3.03s/it][Dataset] cur_step=8860 phase=D_mixed_covt +[Dataset] cur_step=8860 phase=D_mixed_covt +[Dataset] cur_step=8860 phase=D_mixed_covt +[Dataset] cur_step=8860 phase=D_mixed_covt[Dataset] cur_step=8860 phase=D_mixed_covt + + 98%|███████████████████████████████▌| 8860/9000 [7:46:25<06:26, 2.76s/it][Dataset] cur_step=8860 phase=D_mixed_covt +[Dataset] cur_step=8860 phase=D_mixed_covt +[Dataset] cur_step=8860 phase=D_mixed_covt + {'loss': '3.59', 'grad_norm': '3.615', 'learning_rate': '3.307e-08', 'epoch': '0.3187'} + 98%|███████████████████████████████▌| 8860/9000 [7:46:25<06:26, 2.76s/it] {'lm_loss': '0.5779', 'visual_loss': '2.712', 'seg_loss': '0.7699', 'dino_loss': '0.9034', 'depth_loss': '0.2737', 'vggt_mse_loss': '0.272', 'vggt_cos_loss': '0.01785', 'pidinet_loss': '0.2331', 'siglip_loss': '0.5316', 'epoch': '0.3187'} + 98%|███████████████████████████████▌| 8860/9000 [7:46:27<06:26, 2.76s/it][Dataset] cur_step=8861 phase=D_mixed_covt +[Dataset] cur_step=8861 phase=D_mixed_covt[Dataset] cur_step=8861 phase=D_mixed_covt + +[Dataset] cur_step=8861 phase=D_mixed_covt[Dataset] cur_step=8861 phase=D_mixed_covt + +[Dataset] cur_step=8861 phase=D_mixed_covt 98%|███████████████████████████████▌| 8861/9000 [7:46:27<06:12, 2.68s/it] +[Dataset] cur_step=8861 phase=D_mixed_covt +[Dataset] cur_step=8861 phase=D_mixed_covt + {'loss': '3.361', 'grad_norm': '3.185', 'learning_rate': '3.26e-08', 'epoch': '0.3188'} + 98%|███████████████████████████████▌| 8861/9000 [7:46:27<06:12, 2.68s/it] {'lm_loss': '0.795', 'visual_loss': '2.613', 'seg_loss': '0.7466', 'dino_loss': '0.9143', 'depth_loss': '0.1748', 'vggt_mse_loss': '0.1735', 'vggt_cos_loss': '0.01322', 'pidinet_loss': '0.2084', 'siglip_loss': '0.569', 'epoch': '0.3188'} + 98%|███████████████████████████████▌| 8861/9000 [7:46:29<06:12, 2.68s/it][Dataset] cur_step=8862 phase=D_mixed_covt +[Dataset] cur_step=8862 phase=D_mixed_covt +[Dataset] cur_step=8862 phase=D_mixed_covt +[Dataset] cur_step=8862 phase=D_mixed_covt +[Dataset] cur_step=8862 phase=D_mixed_covt[Dataset] cur_step=8862 phase=D_mixed_covt + +[Dataset] cur_step=8862 phase=D_mixed_covt + 98%|███████████████████████████████▌| 8862/9000 [7:46:29<05:36, 2.44s/it][Dataset] cur_step=8862 phase=D_mixed_covt + {'loss': '3.392', 'grad_norm': '2.743', 'learning_rate': '3.213e-08', 'epoch': '0.3188'} + 98%|███████████████████████████████▌| 8862/9000 [7:46:29<05:36, 2.44s/it] {'lm_loss': '0.5922', 'visual_loss': '2.728', 'seg_loss': '0.5979', 'dino_loss': '0.9066', 'depth_loss': '0.2269', 'vggt_mse_loss': '0.2253', 'vggt_cos_loss': '0.01585', 'pidinet_loss': '0.2494', 'siglip_loss': '0.747', 'epoch': '0.3188'} + 98%|███████████████████████████████▌| 8862/9000 [7:46:31<05:36, 2.44s/it][Dataset] cur_step=8863 phase=D_mixed_covt[Dataset] cur_step=8863 phase=D_mixed_covt[Dataset] cur_step=8863 phase=D_mixed_covt[Dataset] cur_step=8863 phase=D_mixed_covt + + + + 98%|███████████████████████████████▌| 8863/9000 [7:46:32<05:53, 2.58s/it][Dataset] cur_step=8863 phase=D_mixed_covt +[Dataset] cur_step=8863 phase=D_mixed_covt +[Dataset] cur_step=8863 phase=D_mixed_covt +[Dataset] cur_step=8863 phase=D_mixed_covt + {'loss': '3.273', 'grad_norm': '4.505', 'learning_rate': '3.167e-08', 'epoch': '0.3188'} + 98%|███████████████████████████████▌| 8863/9000 [7:46:32<05:53, 2.58s/it] {'lm_loss': '0.08946', 'visual_loss': '3.089', 'seg_loss': '0.4322', 'dino_loss': '0.9006', 'depth_loss': '0.2361', 'vggt_mse_loss': '0.234', 'vggt_cos_loss': '0.0202', 'pidinet_loss': '0.3499', 'siglip_loss': '1.171', 'epoch': '0.3188'} + 98%|███████████████████████████████▌| 8863/9000 [7:46:35<05:53, 2.58s/it][Dataset] cur_step=8864 phase=D_mixed_covt +[Dataset] cur_step=8864 phase=D_mixed_covt + 98%|███████████████████████████████▌| 8864/9000 [7:46:35<06:30, 2.87s/it][Dataset] cur_step=8864 phase=D_mixed_covt +[Dataset] cur_step=8864 phase=D_mixed_covt +[Dataset] cur_step=8864 phase=D_mixed_covt +[Dataset] cur_step=8864 phase=D_mixed_covt +[Dataset] cur_step=8864 phase=D_mixed_covt[Dataset] cur_step=8864 phase=D_mixed_covt + + {'loss': '3.112', 'grad_norm': '2.16', 'learning_rate': '3.121e-08', 'epoch': '0.3189'} + 98%|███████████████████████████████▌| 8864/9000 [7:46:35<06:30, 2.87s/it] {'lm_loss': '0.5501', 'visual_loss': '2.704', 'seg_loss': '0.675', 'dino_loss': '0.9123', 'depth_loss': '0.3234', 'vggt_mse_loss': '0.3206', 'vggt_cos_loss': '0.02825', 'pidinet_loss': '0.2183', 'siglip_loss': '0.5753', 'epoch': '0.3189'} + 98%|███████████████████████████████▌| 8864/9000 [7:46:39<06:30, 2.87s/it][Dataset] cur_step=8865 phase=D_mixed_covt +[Dataset] cur_step=8865 phase=D_mixed_covt[Dataset] cur_step=8865 phase=D_mixed_covt + +[Dataset] cur_step=8865 phase=D_mixed_covt +[Dataset] cur_step=8865 phase=D_mixed_covt + 98%|███████████████████████████████▌| 8865/9000 [7:46:40<07:20, 3.26s/it][Dataset] cur_step=8865 phase=D_mixed_covt +[Dataset] cur_step=8865 phase=D_mixed_covt +[Dataset] cur_step=8865 phase=D_mixed_covt + {'loss': '3.167', 'grad_norm': '1.94', 'learning_rate': '3.075e-08', 'epoch': '0.3189'} + 98%|███████████████████████████████▌| 8865/9000 [7:46:40<07:20, 3.26s/it] {'lm_loss': '0.1331', 'visual_loss': '2.438', 'seg_loss': '0.7573', 'dino_loss': '0.9074', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2258', 'siglip_loss': '0.548', 'epoch': '0.3189'} + 98%|███████████████████████████████▌| 8865/9000 [7:46:41<07:20, 3.26s/it][Dataset] cur_step=8866 phase=D_mixed_covt +[Dataset] cur_step=8866 phase=D_mixed_covt +[Dataset] cur_step=8866 phase=D_mixed_covt[Dataset] cur_step=8866 phase=D_mixed_covt 99%|███████████████████████████████▌| 8866/9000 [7:46:41<06:18, 2.83s/it] + +[Dataset] cur_step=8866 phase=D_mixed_covt[Dataset] cur_step=8866 phase=D_mixed_covt + +[Dataset] cur_step=8866 phase=D_mixed_covt +[Dataset] cur_step=8866 phase=D_mixed_covt + {'loss': '2.915', 'grad_norm': '3.561', 'learning_rate': '3.03e-08', 'epoch': '0.319'} + 99%|███████████████████████████████▌| 8866/9000 [7:46:41<06:18, 2.83s/it] {'lm_loss': '0.5395', 'visual_loss': '3.049', 'seg_loss': '0.6697', 'dino_loss': '0.8885', 'depth_loss': '0.3759', 'vggt_mse_loss': '0.3724', 'vggt_cos_loss': '0.03466', 'pidinet_loss': '0.3013', 'siglip_loss': '0.8139', 'epoch': '0.319'} + 99%|███████████████████████████████▌| 8866/9000 [7:46:44<06:18, 2.83s/it][Dataset] cur_step=8867 phase=D_mixed_covt +[Dataset] cur_step=8867 phase=D_mixed_covt +[Dataset] cur_step=8867 phase=D_mixed_covt +[Dataset] cur_step=8867 phase=D_mixed_covt +[Dataset] cur_step=8867 phase=D_mixed_covt + 99%|███████████████████████████████▌| 8867/9000 [7:46:47<07:55, 3.58s/it][Dataset] cur_step=8867 phase=D_mixed_covt +[Dataset] cur_step=8867 phase=D_mixed_covt +[Dataset] cur_step=8867 phase=D_mixed_covt + {'loss': '3.306', 'grad_norm': '2.308', 'learning_rate': '2.985e-08', 'epoch': '0.319'} + 99%|███████████████████████████████▌| 8867/9000 [7:46:47<07:55, 3.58s/it] {'lm_loss': '1.003', 'visual_loss': '2.571', 'seg_loss': '0.7644', 'dino_loss': '0.9044', 'depth_loss': '0.2655', 'vggt_mse_loss': '0.2636', 'vggt_cos_loss': '0.01979', 'pidinet_loss': '0.2072', 'siglip_loss': '0.4299', 'epoch': '0.319'} + 99%|███████████████████████████████▌| 8867/9000 [7:46:49<07:55, 3.58s/it][Dataset] cur_step=8868 phase=D_mixed_covt +[Dataset] cur_step=8868 phase=D_mixed_covt +[Dataset] cur_step=8868 phase=D_mixed_covt[Dataset] cur_step=8868 phase=D_mixed_covt +[Dataset] cur_step=8868 phase=D_mixed_covt[Dataset] cur_step=8868 phase=D_mixed_covt + + + 99%|███████████████████████████████▌| 8868/9000 [7:46:49<07:15, 3.30s/it][Dataset] cur_step=8868 phase=D_mixed_covt +[Dataset] cur_step=8868 phase=D_mixed_covt + {'loss': '3.155', 'grad_norm': '7.488', 'learning_rate': '2.94e-08', 'epoch': '0.319'} + 99%|███████████████████████████████▌| 8868/9000 [7:46:49<07:15, 3.30s/it] {'lm_loss': '0.7033', 'visual_loss': '2.407', 'seg_loss': '0.6605', 'dino_loss': '0.9', 'depth_loss': '0.233', 'vggt_mse_loss': '0.2318', 'vggt_cos_loss': '0.01164', 'pidinet_loss': '0.1665', 'siglip_loss': '0.4469', 'epoch': '0.319'} + 99%|███████████████████████████████▌| 8868/9000 [7:46:52<07:15, 3.30s/it][Dataset] cur_step=8869 phase=D_mixed_covt +[Dataset] cur_step=8869 phase=D_mixed_covt + 99%|███████████████████████████████▌| 8869/9000 [7:46:53<07:17, 3.34s/it][Dataset] cur_step=8869 phase=D_mixed_covt[Dataset] cur_step=8869 phase=D_mixed_covt + +[Dataset] cur_step=8869 phase=D_mixed_covt[Dataset] cur_step=8869 phase=D_mixed_covt + +[Dataset] cur_step=8869 phase=D_mixed_covt +[Dataset] cur_step=8869 phase=D_mixed_covt + {'loss': '3.111', 'grad_norm': '2.799', 'learning_rate': '2.896e-08', 'epoch': '0.3191'} + 99%|███████████████████████████████▌| 8869/9000 [7:46:53<07:17, 3.34s/it] {'lm_loss': '0.9652', 'visual_loss': '2.664', 'seg_loss': '0.7649', 'dino_loss': '0.9137', 'depth_loss': '0.2821', 'vggt_mse_loss': '0.2798', 'vggt_cos_loss': '0.02289', 'pidinet_loss': '0.2252', 'siglip_loss': '0.4785', 'epoch': '0.3191'} + 99%|███████████████████████████████▌| 8869/9000 [7:46:55<07:17, 3.34s/it][Dataset] cur_step=8870 phase=D_mixed_covt +[Dataset] cur_step=8870 phase=D_mixed_covt +[Dataset] cur_step=8870 phase=D_mixed_covt +[Dataset] cur_step=8870 phase=D_mixed_covt +[Dataset] cur_step=8870 phase=D_mixed_covt +[Dataset] cur_step=8870 phase=D_mixed_covt +[Dataset] cur_step=8870 phase=D_mixed_covt +[Dataset] cur_step=8870 phase=D_mixed_covt + 99%|███████████████████████████████▌| 8870/9000 [7:46:56<07:15, 3.35s/it] {'loss': '3.306', 'grad_norm': '3.512', 'learning_rate': '2.852e-08', 'epoch': '0.3191'} + 99%|███████████████████████████████▌| 8870/9000 [7:46:56<07:15, 3.35s/it] {'lm_loss': '1.148', 'visual_loss': '1.835', 'seg_loss': '0.4604', 'dino_loss': '0.863', 'depth_loss': '0.1829', 'vggt_mse_loss': '0.1821', 'vggt_cos_loss': '0.008062', 'pidinet_loss': '0.14', 'siglip_loss': '0.189', 'epoch': '0.3191'} + 99%|███████████████████████████████▌| 8870/9000 [7:46:58<07:15, 3.35s/it][Dataset] cur_step=8871 phase=D_mixed_covt[Dataset] cur_step=8871 phase=D_mixed_covt + + 99%|███████████████████████████████▌| 8871/9000 [7:46:58<06:23, 2.97s/it][Dataset] cur_step=8871 phase=D_mixed_covt +[Dataset] cur_step=8871 phase=D_mixed_covt +[Dataset] cur_step=8871 phase=D_mixed_covt[Dataset] cur_step=8871 phase=D_mixed_covt + +[Dataset] cur_step=8871 phase=D_mixed_covt +[Dataset] cur_step=8871 phase=D_mixed_covt + {'loss': '3.162', 'grad_norm': '2.91', 'learning_rate': '2.808e-08', 'epoch': '0.3191'} + 99%|███████████████████████████████▌| 8871/9000 [7:46:58<06:23, 2.97s/it] {'lm_loss': '0.4025', 'visual_loss': '3.232', 'seg_loss': '0.4383', 'dino_loss': '0.8816', 'depth_loss': '0.3542', 'vggt_mse_loss': '0.3507', 'vggt_cos_loss': '0.03507', 'pidinet_loss': '0.3997', 'siglip_loss': '1.159', 'epoch': '0.3191'} + 99%|███████████████████████████████▌| 8871/9000 [7:47:01<06:23, 2.97s/it][Dataset] cur_step=8872 phase=D_mixed_covt +[Dataset] cur_step=8872 phase=D_mixed_covt +[Dataset] cur_step=8872 phase=D_mixed_covt[Dataset] cur_step=8872 phase=D_mixed_covt +[Dataset] cur_step=8872 phase=D_mixed_covt + +[Dataset] cur_step=8872 phase=D_mixed_covt +[Dataset] cur_step=8872 phase=D_mixed_covt + 99%|███████████████████████████████▌| 8872/9000 [7:47:03<07:07, 3.34s/it][Dataset] cur_step=8872 phase=D_mixed_covt + {'loss': '3.27', 'grad_norm': '2.785', 'learning_rate': '2.765e-08', 'epoch': '0.3192'} + 99%|███████████████████████████████▌| 8872/9000 [7:47:03<07:07, 3.34s/it] {'lm_loss': '0.8127', 'visual_loss': '2.743', 'seg_loss': '0.8735', 'dino_loss': '0.9245', 'depth_loss': '0.199', 'vggt_mse_loss': '0.1976', 'vggt_cos_loss': '0.01468', 'pidinet_loss': '0.2222', 'siglip_loss': '0.5233', 'epoch': '0.3192'} + 99%|███████████████████████████████▌| 8872/9000 [7:47:04<07:07, 3.34s/it][Dataset] cur_step=8873 phase=D_mixed_covt[Dataset] cur_step=8873 phase=D_mixed_covt + +[Dataset] cur_step=8873 phase=D_mixed_covt +[Dataset] cur_step=8873 phase=D_mixed_covt +[Dataset] cur_step=8873 phase=D_mixed_covt +[Dataset] cur_step=8873 phase=D_mixed_covt[Dataset] cur_step=8873 phase=D_mixed_covt + + 99%|███████████████████████████████▌| 8873/9000 [7:47:05<06:17, 2.97s/it][Dataset] cur_step=8873 phase=D_mixed_covt + {'loss': '3.356', 'grad_norm': '25.65', 'learning_rate': '2.721e-08', 'epoch': '0.3192'} + 99%|███████████████████████████████▌| 8873/9000 [7:47:05<06:17, 2.97s/it] {'lm_loss': '0.6432', 'visual_loss': '2.653', 'seg_loss': '0.6716', 'dino_loss': '0.9229', 'depth_loss': '0.2601', 'vggt_mse_loss': '0.2582', 'vggt_cos_loss': '0.01952', 'pidinet_loss': '0.2601', 'siglip_loss': '0.5379', 'epoch': '0.3192'} + 99%|███████████████████████████████▌| 8873/9000 [7:47:07<06:17, 2.97s/it][Dataset] cur_step=8874 phase=D_mixed_covt +[Dataset] cur_step=8874 phase=D_mixed_covt +[Dataset] cur_step=8874 phase=D_mixed_covt +[Dataset] cur_step=8874 phase=D_mixed_covt +[Dataset] cur_step=8874 phase=D_mixed_covt +[Dataset] cur_step=8874 phase=D_mixed_covt 99%|███████████████████████████████▌| 8874/9000 [7:47:07<05:59, 2.86s/it] +[Dataset] cur_step=8874 phase=D_mixed_covt +[Dataset] cur_step=8874 phase=D_mixed_covt + {'loss': '3.382', 'grad_norm': '6.544', 'learning_rate': '2.679e-08', 'epoch': '0.3192'} + 99%|███████████████████████████████▌| 8874/9000 [7:47:07<05:59, 2.86s/it] {'lm_loss': '0.06445', 'visual_loss': '2.851', 'seg_loss': '0.7952', 'dino_loss': '0.8957', 'depth_loss': '0.3359', 'vggt_mse_loss': '0.3331', 'vggt_cos_loss': '0.02867', 'pidinet_loss': '0.2692', 'siglip_loss': '0.5554', 'epoch': '0.3192'} + 99%|███████████████████████████████▌| 8874/9000 [7:47:10<05:59, 2.86s/it][Dataset] cur_step=8875 phase=D_mixed_covt +[Dataset] cur_step=8875 phase=D_mixed_covt +[Dataset] cur_step=8875 phase=D_mixed_covt[Dataset] cur_step=8875 phase=D_mixed_covt + + 99%|███████████████████████████████▌| 8875/9000 [7:47:11<06:22, 3.06s/it][Dataset] cur_step=8875 phase=D_mixed_covt +[Dataset] cur_step=8875 phase=D_mixed_covt +[Dataset] cur_step=8875 phase=D_mixed_covt +[Dataset] cur_step=8875 phase=D_mixed_covt + {'loss': '3.109', 'grad_norm': '2.683', 'learning_rate': '2.636e-08', 'epoch': '0.3193'} + 99%|███████████████████████████████▌| 8875/9000 [7:47:11<06:22, 3.06s/it] {'lm_loss': '0.5704', 'visual_loss': '2.78', 'seg_loss': '0.7216', 'dino_loss': '0.9058', 'depth_loss': '0.3117', 'vggt_mse_loss': '0.3096', 'vggt_cos_loss': '0.02119', 'pidinet_loss': '0.2265', 'siglip_loss': '0.6142', 'epoch': '0.3193'} + 99%|███████████████████████████████▌| 8875/9000 [7:47:13<06:22, 3.06s/it][Dataset] cur_step=8876 phase=D_mixed_covt +[Dataset] cur_step=8876 phase=D_mixed_covt +[Dataset] cur_step=8876 phase=D_mixed_covt[Dataset] cur_step=8876 phase=D_mixed_covt +[Dataset] cur_step=8876 phase=D_mixed_covt + + 99%|███████████████████████████████▌| 8876/9000 [7:47:14<06:21, 3.07s/it][Dataset] cur_step=8876 phase=D_mixed_covt +[Dataset] cur_step=8876 phase=D_mixed_covt +[Dataset] cur_step=8876 phase=D_mixed_covt + {'loss': '3.084', 'grad_norm': '2.524', 'learning_rate': '2.594e-08', 'epoch': '0.3193'} + 99%|███████████████████████████████▌| 8876/9000 [7:47:14<06:21, 3.07s/it] {'lm_loss': '0.08593', 'visual_loss': '2.234', 'seg_loss': '0.5516', 'dino_loss': '0.85', 'depth_loss': '0.1958', 'vggt_mse_loss': '0.1943', 'vggt_cos_loss': '0.01513', 'pidinet_loss': '0.1895', 'siglip_loss': '0.4474', 'epoch': '0.3193'} + 99%|███████████████████████████████▌| 8876/9000 [7:47:16<06:21, 3.07s/it][Dataset] cur_step=8877 phase=D_mixed_covt[Dataset] cur_step=8877 phase=D_mixed_covt + +[Dataset] cur_step=8877 phase=D_mixed_covt +[Dataset] cur_step=8877 phase=D_mixed_covt +[Dataset] cur_step=8877 phase=D_mixed_covt +[Dataset] cur_step=8877 phase=D_mixed_covt +[Dataset] cur_step=8877 phase=D_mixed_covt[Dataset] cur_step=8877 phase=D_mixed_covt + + 99%|███████████████████████████████▌| 8877/9000 [7:47:17<06:13, 3.04s/it] {'loss': '3.092', 'grad_norm': '7.352', 'learning_rate': '2.553e-08', 'epoch': '0.3194'} + 99%|███████████████████████████████▌| 8877/9000 [7:47:17<06:13, 3.04s/it] {'lm_loss': '0.1222', 'visual_loss': '1.55', 'seg_loss': '0.8036', 'dino_loss': '0', 'depth_loss': '0.3147', 'vggt_mse_loss': '0.3125', 'vggt_cos_loss': '0.02247', 'pidinet_loss': '0', 'siglip_loss': '0.4322', 'epoch': '0.3194'} + 99%|███████████████████████████████▌| 8877/9000 [7:47:19<06:13, 3.04s/it][Dataset] cur_step=8878 phase=D_mixed_covt +[Dataset] cur_step=8878 phase=D_mixed_covt +[Dataset] cur_step=8878 phase=D_mixed_covt +[Dataset] cur_step=8878 phase=D_mixed_covt[Dataset] cur_step=8878 phase=D_mixed_covt + +[Dataset] cur_step=8878 phase=D_mixed_covt +[Dataset] cur_step=8878 phase=D_mixed_covt +[Dataset] cur_step=8878 phase=D_mixed_covt + 99%|███████████████████████████████▌| 8878/9000 [7:47:19<05:55, 2.92s/it] {'loss': '2.005', 'grad_norm': '5.118', 'learning_rate': '2.511e-08', 'epoch': '0.3194'} + 99%|███████████████████████████████▌| 8878/9000 [7:47:19<05:55, 2.92s/it] {'lm_loss': '0.4935', 'visual_loss': '2.495', 'seg_loss': '0.7327', 'dino_loss': '0.8561', 'depth_loss': '0.2755', 'vggt_mse_loss': '0.2741', 'vggt_cos_loss': '0.01488', 'pidinet_loss': '0.2805', 'siglip_loss': '0.3497', 'epoch': '0.3194'} + 99%|███████████████████████████████▌| 8878/9000 [7:47:22<05:55, 2.92s/it][Dataset] cur_step=8879 phase=D_mixed_covt[Dataset] cur_step=8879 phase=D_mixed_covt + +[Dataset] cur_step=8879 phase=D_mixed_covt[Dataset] cur_step=8879 phase=D_mixed_covt + +[Dataset] cur_step=8879 phase=D_mixed_covt +[Dataset] cur_step=8879 phase=D_mixed_covt + 99%|███████████████████████████████▌| 8879/9000 [7:47:22<05:50, 2.89s/it][Dataset] cur_step=8879 phase=D_mixed_covt +[Dataset] cur_step=8879 phase=D_mixed_covt + {'loss': '3.108', 'grad_norm': '14.81', 'learning_rate': '2.47e-08', 'epoch': '0.3194'} + 99%|███████████████████████████████▌| 8879/9000 [7:47:22<05:50, 2.89s/it] {'lm_loss': '0.6692', 'visual_loss': '2.65', 'seg_loss': '0.8711', 'dino_loss': '0.8811', 'depth_loss': '0.1908', 'vggt_mse_loss': '0.1896', 'vggt_cos_loss': '0.01235', 'pidinet_loss': '0.2565', 'siglip_loss': '0.4509', 'epoch': '0.3194'} + 99%|███████████████████████████████▌| 8879/9000 [7:47:24<05:50, 2.89s/it][Dataset] cur_step=8880 phase=D_mixed_covt[Dataset] cur_step=8880 phase=D_mixed_covt[Dataset] cur_step=8880 phase=D_mixed_covt + + +[Dataset] cur_step=8880 phase=D_mixed_covt + 99%|███████████████████████████████▌| 8880/9000 [7:47:24<05:20, 2.67s/it][Dataset] cur_step=8880 phase=D_mixed_covt +[Dataset] cur_step=8880 phase=D_mixed_covt +[Dataset] cur_step=8880 phase=D_mixed_covt +[Dataset] cur_step=8880 phase=D_mixed_covt + {'loss': '3.086', 'grad_norm': '3.023', 'learning_rate': '2.43e-08', 'epoch': '0.3195'} + 99%|███████████████████████████████▌| 8880/9000 [7:47:24<05:20, 2.67s/it] {'lm_loss': '0.1113', 'visual_loss': '2.455', 'seg_loss': '0.7416', 'dino_loss': '0.8888', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2205', 'siglip_loss': '0.6038', 'epoch': '0.3195'} + 99%|███████████████████████████████▌| 8880/9000 [7:47:26<05:20, 2.67s/it][Dataset] cur_step=8881 phase=D_mixed_covt +[Dataset] cur_step=8881 phase=D_mixed_covt +[Dataset] cur_step=8881 phase=D_mixed_covt +[Dataset] cur_step=8881 phase=D_mixed_covt[Dataset] cur_step=8881 phase=D_mixed_covt[Dataset] cur_step=8881 phase=D_mixed_covt + + +[Dataset] cur_step=8881 phase=D_mixed_covt +[Dataset] cur_step=8881 phase=D_mixed_covt + 99%|███████████████████████████████▌| 8881/9000 [7:47:27<05:17, 2.67s/it] {'loss': '2.972', 'grad_norm': '5.926', 'learning_rate': '2.389e-08', 'epoch': '0.3195'} + 99%|███████████████████████████████▌| 8881/9000 [7:47:27<05:17, 2.67s/it] {'lm_loss': '0.4209', 'visual_loss': '2.738', 'seg_loss': '0.7394', 'dino_loss': '0.9271', 'depth_loss': '0.19', 'vggt_mse_loss': '0.1887', 'vggt_cos_loss': '0.01356', 'pidinet_loss': '0.3476', 'siglip_loss': '0.5335', 'epoch': '0.3195'} + 99%|███████████████████████████████▌| 8881/9000 [7:47:29<05:17, 2.67s/it][Dataset] cur_step=8882 phase=D_mixed_covt +[Dataset] cur_step=8882 phase=D_mixed_covt[Dataset] cur_step=8882 phase=D_mixed_covt + +[Dataset] cur_step=8882 phase=D_mixed_covt +[Dataset] cur_step=8882 phase=D_mixed_covt[Dataset] cur_step=8882 phase=D_mixed_covt + +[Dataset] cur_step=8882 phase=D_mixed_covt +[Dataset] cur_step=8882 phase=D_mixed_covt + 99%|███████████████████████████████▌| 8882/9000 [7:47:30<05:07, 2.61s/it] {'loss': '3.094', 'grad_norm': '3.999', 'learning_rate': '2.349e-08', 'epoch': '0.3195'} + 99%|███████████████████████████████▌| 8882/9000 [7:47:30<05:07, 2.61s/it] {'lm_loss': '0.9837', 'visual_loss': '2.679', 'seg_loss': '0.6805', 'dino_loss': '0.9117', 'depth_loss': '0.3109', 'vggt_mse_loss': '0.3079', 'vggt_cos_loss': '0.02985', 'pidinet_loss': '0.2452', 'siglip_loss': '0.5311', 'epoch': '0.3195'} + 99%|███████████████████████████████▌| 8882/9000 [7:47:33<05:07, 2.61s/it][Dataset] cur_step=8883 phase=D_mixed_covt +[Dataset] cur_step=8883 phase=D_mixed_covt +[Dataset] cur_step=8883 phase=D_mixed_covt[Dataset] cur_step=8883 phase=D_mixed_covt + +[Dataset] cur_step=8883 phase=D_mixed_covt +[Dataset] cur_step=8883 phase=D_mixed_covt[Dataset] cur_step=8883 phase=D_mixed_covt + 99%|███████████████████████████████▌| 8883/9000 [7:47:33<05:50, 3.00s/it] +[Dataset] cur_step=8883 phase=D_mixed_covt + {'loss': '3.176', 'grad_norm': '1.811', 'learning_rate': '2.31e-08', 'epoch': '0.3196'} + 99%|███████████████████████████████▌| 8883/9000 [7:47:33<05:50, 3.00s/it] {'lm_loss': '0.6757', 'visual_loss': '2.137', 'seg_loss': '0.4317', 'dino_loss': '0.87', 'depth_loss': '0.2092', 'vggt_mse_loss': '0.2079', 'vggt_cos_loss': '0.01257', 'pidinet_loss': '0.1957', 'siglip_loss': '0.4301', 'epoch': '0.3196'} + 99%|███████████████████████████████▌| 8883/9000 [7:47:35<05:50, 3.00s/it][Dataset] cur_step=8884 phase=D_mixed_covt + 99%|███████████████████████████████▌| 8884/9000 [7:47:36<05:19, 2.76s/it][Dataset] cur_step=8884 phase=D_mixed_covt[Dataset] cur_step=8884 phase=D_mixed_covt + +[Dataset] cur_step=8884 phase=D_mixed_covt +[Dataset] cur_step=8884 phase=D_mixed_covt +[Dataset] cur_step=8884 phase=D_mixed_covt +[Dataset] cur_step=8884 phase=D_mixed_covt +[Dataset] cur_step=8884 phase=D_mixed_covt + {'loss': '3.374', 'grad_norm': '3.055', 'learning_rate': '2.271e-08', 'epoch': '0.3196'} + 99%|███████████████████████████████▌| 8884/9000 [7:47:36<05:19, 2.76s/it] {'lm_loss': '1.208', 'visual_loss': '2.777', 'seg_loss': '0.8099', 'dino_loss': '0.8708', 'depth_loss': '0.111', 'vggt_mse_loss': '0.1102', 'vggt_cos_loss': '0.008338', 'pidinet_loss': '0.3485', 'siglip_loss': '0.6363', 'epoch': '0.3196'} + 99%|███████████████████████████████▌| 8884/9000 [7:47:38<05:19, 2.76s/it][Dataset] cur_step=8885 phase=D_mixed_covt +[Dataset] cur_step=8885 phase=D_mixed_covt +[Dataset] cur_step=8885 phase=D_mixed_covt +[Dataset] cur_step=8885 phase=D_mixed_covt[Dataset] cur_step=8885 phase=D_mixed_covt + +[Dataset] cur_step=8885 phase=D_mixed_covt +[Dataset] cur_step=8885 phase=D_mixed_covt[Dataset] cur_step=8885 phase=D_mixed_covt + + 99%|███████████████████████████████▌| 8885/9000 [7:47:40<05:58, 3.12s/it] {'loss': '3.507', 'grad_norm': '4.215', 'learning_rate': '2.232e-08', 'epoch': '0.3196'} + 99%|███████████████████████████████▌| 8885/9000 [7:47:40<05:58, 3.12s/it] {'lm_loss': '1.03', 'visual_loss': '0.5269', 'seg_loss': '0', 'dino_loss': '0', 'depth_loss': '0.2861', 'vggt_mse_loss': '0.2839', 'vggt_cos_loss': '0.02114', 'pidinet_loss': '0.2408', 'siglip_loss': '0', 'epoch': '0.3196'} + 99%|███████████████████████████████▌| 8885/9000 [7:47:40<05:58, 3.12s/it][Dataset] cur_step=8886 phase=D_mixed_covt +[Dataset] cur_step=8886 phase=D_mixed_covt[Dataset] cur_step=8886 phase=D_mixed_covt[Dataset] cur_step=8886 phase=D_mixed_covt + + +[Dataset] cur_step=8886 phase=D_mixed_covt 99%|███████████████████████████████▌| 8886/9000 [7:47:41<04:48, 2.53s/it] +[Dataset] cur_step=8886 phase=D_mixed_covt +[Dataset] cur_step=8886 phase=D_mixed_covt +[Dataset] cur_step=8886 phase=D_mixed_covt + {'loss': '1.417', 'grad_norm': '7.109', 'learning_rate': '2.193e-08', 'epoch': '0.3197'} + 99%|███████████████████████████████▌| 8886/9000 [7:47:41<04:48, 2.53s/it] {'lm_loss': '0.6757', 'visual_loss': '2.716', 'seg_loss': '0.6083', 'dino_loss': '0.954', 'depth_loss': '0.2663', 'vggt_mse_loss': '0.2642', 'vggt_cos_loss': '0.02161', 'pidinet_loss': '0.2479', 'siglip_loss': '0.6391', 'epoch': '0.3197'} + 99%|███████████████████████████████▌| 8886/9000 [7:47:42<04:48, 2.53s/it][Dataset] cur_step=8887 phase=D_mixed_covt +[Dataset] cur_step=8887 phase=D_mixed_covt[Dataset] cur_step=8887 phase=D_mixed_covt + +[Dataset] cur_step=8887 phase=D_mixed_covt +[Dataset] cur_step=8887 phase=D_mixed_covt +[Dataset] cur_step=8887 phase=D_mixed_covt[Dataset] cur_step=8887 phase=D_mixed_covt +[Dataset] cur_step=8887 phase=D_mixed_covt + + 99%|███████████████████████████████▌| 8887/9000 [7:47:43<04:21, 2.31s/it] {'loss': '3.074', 'grad_norm': '3.421', 'learning_rate': '2.155e-08', 'epoch': '0.3197'} + 99%|███████████████████████████████▌| 8887/9000 [7:47:43<04:21, 2.31s/it] {'lm_loss': '0.08125', 'visual_loss': '2.591', 'seg_loss': '0.68', 'dino_loss': '0.9149', 'depth_loss': '0.2029', 'vggt_mse_loss': '0.2015', 'vggt_cos_loss': '0.01436', 'pidinet_loss': '0.2433', 'siglip_loss': '0.5497', 'epoch': '0.3197'} + 99%|███████████████████████████████▌| 8887/9000 [7:47:44<04:21, 2.31s/it][Dataset] cur_step=8888 phase=D_mixed_covt[Dataset] cur_step=8888 phase=D_mixed_covt + +[Dataset] cur_step=8888 phase=D_mixed_covt +[Dataset] cur_step=8888 phase=D_mixed_covt 99%|███████████████████████████████▌| 8888/9000 [7:47:44<04:02, 2.17s/it] +[Dataset] cur_step=8888 phase=D_mixed_covt +[Dataset] cur_step=8888 phase=D_mixed_covt[Dataset] cur_step=8888 phase=D_mixed_covt + +[Dataset] cur_step=8888 phase=D_mixed_covt + {'loss': '3.241', 'grad_norm': '3.081', 'learning_rate': '2.117e-08', 'epoch': '0.3197'} + 99%|███████████████████████████████▌| 8888/9000 [7:47:44<04:02, 2.17s/it] {'lm_loss': '0.3125', 'visual_loss': '2.359', 'seg_loss': '0.6982', 'dino_loss': '0.9025', 'depth_loss': '0.2853', 'vggt_mse_loss': '0.2829', 'vggt_cos_loss': '0.02394', 'pidinet_loss': '0', 'siglip_loss': '0.4726', 'epoch': '0.3197'} + 99%|███████████████████████████████▌| 8888/9000 [7:47:47<04:02, 2.17s/it][Dataset] cur_step=8889 phase=D_mixed_covt[Dataset] cur_step=8889 phase=D_mixed_covt +[Dataset] cur_step=8889 phase=D_mixed_covt +[Dataset] cur_step=8889 phase=D_mixed_covt + +[Dataset] cur_step=8889 phase=D_mixed_covt +[Dataset] cur_step=8889 phase=D_mixed_covt + 99%|███████████████████████████████▌| 8889/9000 [7:47:48<04:41, 2.54s/it][Dataset] cur_step=8889 phase=D_mixed_covt +[Dataset] cur_step=8889 phase=D_mixed_covt + {'loss': '2.959', 'grad_norm': '3.743', 'learning_rate': '2.079e-08', 'epoch': '0.3198'} + 99%|███████████████████████████████▌| 8889/9000 [7:47:48<04:41, 2.54s/it] {'lm_loss': '0.5485', 'visual_loss': '2.742', 'seg_loss': '0.642', 'dino_loss': '0.9201', 'depth_loss': '0.294', 'vggt_mse_loss': '0.2921', 'vggt_cos_loss': '0.01831', 'pidinet_loss': '0.2698', 'siglip_loss': '0.6161', 'epoch': '0.3198'} + 99%|███████████████████████████████▌| 8889/9000 [7:47:50<04:41, 2.54s/it][Dataset] cur_step=8890 phase=D_mixed_covt +[Dataset] cur_step=8890 phase=D_mixed_covt +[Dataset] cur_step=8890 phase=D_mixed_covt +[Dataset] cur_step=8890 phase=D_mixed_covt +[Dataset] cur_step=8890 phase=D_mixed_covt +[Dataset] cur_step=8890 phase=D_mixed_covt[Dataset] cur_step=8890 phase=D_mixed_covt + + 99%|███████████████████████████████▌| 8890/9000 [7:47:53<05:55, 3.23s/it][Dataset] cur_step=8890 phase=D_mixed_covt + {'loss': '3.196', 'grad_norm': '10.26', 'learning_rate': '2.042e-08', 'epoch': '0.3198'} + 99%|███████████████████████████████▌| 8890/9000 [7:47:53<05:55, 3.23s/it] {'lm_loss': '1.349', 'visual_loss': '2.741', 'seg_loss': '0.7423', 'dino_loss': '0.8864', 'depth_loss': '0.2632', 'vggt_mse_loss': '0.2612', 'vggt_cos_loss': '0.02064', 'pidinet_loss': '0.2242', 'siglip_loss': '0.6251', 'epoch': '0.3198'} + 99%|███████████████████████████████▌| 8890/9000 [7:47:55<05:55, 3.23s/it][Dataset] cur_step=8891 phase=D_mixed_covt +[Dataset] cur_step=8891 phase=D_mixed_covt +[Dataset] cur_step=8891 phase=D_mixed_covt[Dataset] cur_step=8891 phase=D_mixed_covt[Dataset] cur_step=8891 phase=D_mixed_covt + + + 99%|███████████████████████████████▌| 8891/9000 [7:47:56<05:52, 3.23s/it][Dataset] cur_step=8891 phase=D_mixed_covt +[Dataset] cur_step=8891 phase=D_mixed_covt +[Dataset] cur_step=8891 phase=D_mixed_covt + {'loss': '3.307', 'grad_norm': '6.806', 'learning_rate': '2.005e-08', 'epoch': '0.3199'} + 99%|███████████████████████████████▌| 8891/9000 [7:47:58<05:52, 3.23s/it] {'lm_loss': '0.053', 'visual_loss': '2.657', 'seg_loss': '0.8362', 'dino_loss': '0.9092', 'depth_loss': '0.1985', 'vggt_mse_loss': '0.1972', 'vggt_cos_loss': '0.01352', 'pidinet_loss': '0.2076', 'siglip_loss': '0.5055', 'epoch': '0.3199'} + 99%|███████████████████████████████▌| 8891/9000 [7:48:04<05:52, 3.23s/it][Dataset] cur_step=8892 phase=D_mixed_covt +[Dataset] cur_step=8892 phase=D_mixed_covt +[Dataset] cur_step=8892 phase=D_mixed_covt +[Dataset] cur_step=8892 phase=D_mixed_covt +[Dataset] cur_step=8892 phase=D_mixed_covt + 99%|███████████████████████████████▌| 8892/9000 [7:48:04<08:42, 4.84s/it][Dataset] cur_step=8892 phase=D_mixed_covt[Dataset] cur_step=8892 phase=D_mixed_covt + +[Dataset] cur_step=8892 phase=D_mixed_covt + {'loss': '2.813', 'grad_norm': '2.504', 'learning_rate': '1.968e-08', 'epoch': '0.3199'} + 99%|███████████████████████████████▌| 8892/9000 [7:48:04<08:42, 4.84s/it] {'lm_loss': '0.8155', 'visual_loss': '2.654', 'seg_loss': '0.7316', 'dino_loss': '0.919', 'depth_loss': '0.3341', 'vggt_mse_loss': '0.3323', 'vggt_cos_loss': '0.0178', 'pidinet_loss': '0.1553', 'siglip_loss': '0.5138', 'epoch': '0.3199'} + 99%|███████████████████████████████▌| 8892/9000 [7:48:07<08:42, 4.84s/it][Dataset] cur_step=8893 phase=D_mixed_covt +[Dataset] cur_step=8893 phase=D_mixed_covt +[Dataset] cur_step=8893 phase=D_mixed_covt +[Dataset] cur_step=8893 phase=D_mixed_covt[Dataset] cur_step=8893 phase=D_mixed_covt[Dataset] cur_step=8893 phase=D_mixed_covt + + + 99%|███████████████████████████████▌| 8893/9000 [7:48:08<07:46, 4.36s/it][Dataset] cur_step=8893 phase=D_mixed_covt +[Dataset] cur_step=8893 phase=D_mixed_covt + {'loss': '3.495', 'grad_norm': '2.558', 'learning_rate': '1.932e-08', 'epoch': '0.3199'} + 99%|███████████████████████████████▌| 8893/9000 [7:48:08<07:46, 4.36s/it] {'lm_loss': '0.4501', 'visual_loss': '2.076', 'seg_loss': '0.6051', 'dino_loss': '0.8951', 'depth_loss': '0.183', 'vggt_mse_loss': '0.1821', 'vggt_cos_loss': '0.008708', 'pidinet_loss': '0.299', 'siglip_loss': '0.09346', 'epoch': '0.3199'} + 99%|███████████████████████████████▌| 8893/9000 [7:48:10<07:46, 4.36s/it][Dataset] cur_step=8894 phase=D_mixed_covt +[Dataset] cur_step=8894 phase=D_mixed_covt +[Dataset] cur_step=8894 phase=D_mixed_covt +[Dataset] cur_step=8894 phase=D_mixed_covt + 99%|███████████████████████████████▌| 8894/9000 [7:48:12<07:54, 4.48s/it][Dataset] cur_step=8894 phase=D_mixed_covt +[Dataset] cur_step=8894 phase=D_mixed_covt +[Dataset] cur_step=8894 phase=D_mixed_covt +[Dataset] cur_step=8894 phase=D_mixed_covt + {'loss': '3.115', 'grad_norm': '2.727', 'learning_rate': '1.896e-08', 'epoch': '0.32'} + 99%|███████████████████████████████▌| 8894/9000 [7:48:12<07:54, 4.48s/it] {'lm_loss': '0.8196', 'visual_loss': '1.814', 'seg_loss': '0.6435', 'dino_loss': '0.8985', 'depth_loss': '0.2724', 'vggt_mse_loss': '0.2703', 'vggt_cos_loss': '0.02101', 'pidinet_loss': '0', 'siglip_loss': '0', 'epoch': '0.32'} + 99%|███████████████████████████████▌| 8894/9000 [7:48:14<07:54, 4.48s/it][Dataset] cur_step=8895 phase=D_mixed_covt +[Dataset] cur_step=8895 phase=D_mixed_covt +[Dataset] cur_step=8895 phase=D_mixed_covt +[Dataset] cur_step=8895 phase=D_mixed_covt +[Dataset] cur_step=8895 phase=D_mixed_covt[Dataset] cur_step=8895 phase=D_mixed_covt + + 99%|███████████████████████████████▋| 8895/9000 [7:48:15<06:33, 3.75s/it][Dataset] cur_step=8895 phase=D_mixed_covt[Dataset] cur_step=8895 phase=D_mixed_covt + + {'loss': '2.435', 'grad_norm': '3.679', 'learning_rate': '1.86e-08', 'epoch': '0.32'} + 99%|███████████████████████████████▋| 8895/9000 [7:48:15<06:33, 3.75s/it] {'lm_loss': '0.7096', 'visual_loss': '2.616', 'seg_loss': '0.7252', 'dino_loss': '0.8924', 'depth_loss': '0.2339', 'vggt_mse_loss': '0.2323', 'vggt_cos_loss': '0.01549', 'pidinet_loss': '0.2547', 'siglip_loss': '0.5098', 'epoch': '0.32'} + 99%|███████████████████████████████▋| 8895/9000 [7:48:16<06:33, 3.75s/it][Dataset] cur_step=8896 phase=D_mixed_covt[Dataset] cur_step=8896 phase=D_mixed_covt + +[Dataset] cur_step=8896 phase=D_mixed_covt +[Dataset] cur_step=8896 phase=D_mixed_covt +[Dataset] cur_step=8896 phase=D_mixed_covt +[Dataset] cur_step=8896 phase=D_mixed_covt +[Dataset] cur_step=8896 phase=D_mixed_covt + 99%|███████████████████████████████▋| 8896/9000 [7:48:17<05:49, 3.36s/it][Dataset] cur_step=8896 phase=D_mixed_covt + {'loss': '3.257', 'grad_norm': '11.49', 'learning_rate': '1.825e-08', 'epoch': '0.32'} + 99%|███████████████████████████████▋| 8896/9000 [7:48:17<05:49, 3.36s/it] {'lm_loss': '0.5212', 'visual_loss': '2.51', 'seg_loss': '0.6493', 'dino_loss': '0.9204', 'depth_loss': '0.1648', 'vggt_mse_loss': '0.1639', 'vggt_cos_loss': '0.009188', 'pidinet_loss': '0.1828', 'siglip_loss': '0.5929', 'epoch': '0.32'} + 99%|███████████████████████████████▋| 8896/9000 [7:48:20<05:49, 3.36s/it][Dataset] cur_step=8897 phase=D_mixed_covt + 99%|███████████████████████████████▋| 8897/9000 [7:48:20<05:47, 3.37s/it][Dataset] cur_step=8897 phase=D_mixed_covt +[Dataset] cur_step=8897 phase=D_mixed_covt +[Dataset] cur_step=8897 phase=D_mixed_covt +[Dataset] cur_step=8897 phase=D_mixed_covt +[Dataset] cur_step=8897 phase=D_mixed_covt +[Dataset] cur_step=8897 phase=D_mixed_covt +[Dataset] cur_step=8897 phase=D_mixed_covt + {'loss': '3.09', 'grad_norm': '2.012', 'learning_rate': '1.79e-08', 'epoch': '0.3201'} + 99%|███████████████████████████████▋| 8897/9000 [7:48:20<05:47, 3.37s/it] {'lm_loss': '0.5488', 'visual_loss': '2.06', 'seg_loss': '0.3403', 'dino_loss': '0.8451', 'depth_loss': '0.1648', 'vggt_mse_loss': '0.1634', 'vggt_cos_loss': '0.01388', 'pidinet_loss': '0.289', 'siglip_loss': '0.421', 'epoch': '0.3201'} + 99%|███████████████████████████████▋| 8897/9000 [7:48:22<05:47, 3.37s/it][Dataset] cur_step=8898 phase=D_mixed_covt +[Dataset] cur_step=8898 phase=D_mixed_covt +[Dataset] cur_step=8898 phase=D_mixed_covt +[Dataset] cur_step=8898 phase=D_mixed_covt[Dataset] cur_step=8898 phase=D_mixed_covt[Dataset] cur_step=8898 phase=D_mixed_covt + + +[Dataset] cur_step=8898 phase=D_mixed_covt +[Dataset] cur_step=8898 phase=D_mixed_covt + 99%|███████████████████████████████▋| 8898/9000 [7:48:23<05:19, 3.13s/it] {'loss': '3.111', 'grad_norm': '2.844', 'learning_rate': '1.756e-08', 'epoch': '0.3201'} + 99%|███████████████████████████████▋| 8898/9000 [7:48:23<05:19, 3.13s/it] {'lm_loss': '0.9219', 'visual_loss': '2.738', 'seg_loss': '0.6292', 'dino_loss': '0.9272', 'depth_loss': '0.2159', 'vggt_mse_loss': '0.2145', 'vggt_cos_loss': '0.014', 'pidinet_loss': '0.238', 'siglip_loss': '0.7281', 'epoch': '0.3201'} + 99%|███████████████████████████████▋| 8898/9000 [7:48:25<05:19, 3.13s/it][Dataset] cur_step=8899 phase=D_mixed_covt +[Dataset] cur_step=8899 phase=D_mixed_covt[Dataset] cur_step=8899 phase=D_mixed_covt + +[Dataset] cur_step=8899 phase=D_mixed_covt +[Dataset] cur_step=8899 phase=D_mixed_covt +[Dataset] cur_step=8899 phase=D_mixed_covt +[Dataset] cur_step=8899 phase=D_mixed_covt 99%|███████████████████████████████▋| 8899/9000 [7:48:26<05:20, 3.17s/it] +[Dataset] cur_step=8899 phase=D_mixed_covt + {'loss': '3.512', 'grad_norm': '2.159', 'learning_rate': '1.721e-08', 'epoch': '0.3201'} + 99%|███████████████████████████████▋| 8899/9000 [7:48:26<05:20, 3.17s/it] {'lm_loss': '0.9563', 'visual_loss': '2.869', 'seg_loss': '0.7173', 'dino_loss': '0.9245', 'depth_loss': '0.2403', 'vggt_mse_loss': '0.2384', 'vggt_cos_loss': '0.01881', 'pidinet_loss': '0.2661', 'siglip_loss': '0.7205', 'epoch': '0.3201'} + 99%|███████████████████████████████▋| 8899/9000 [7:48:28<05:20, 3.17s/it][Dataset] cur_step=8900 phase=D_mixed_covt +[Dataset] cur_step=8900 phase=D_mixed_covt +[Dataset] cur_step=8900 phase=D_mixed_covt +[Dataset] cur_step=8900 phase=D_mixed_covt +[Dataset] cur_step=8900 phase=D_mixed_covt +[Dataset] cur_step=8900 phase=D_mixed_covt +[Dataset] cur_step=8900 phase=D_mixed_covt 99%|███████████████████████████████▋| 8900/9000 [7:48:29<04:59, 3.00s/it] +[Dataset] cur_step=8900 phase=D_mixed_covt + {'loss': '3.348', 'grad_norm': '2.32', 'learning_rate': '1.687e-08', 'epoch': '0.3202'} + 99%|███████████████████████████████▋| 8900/9000 [7:48:29<04:59, 3.00s/it] {'lm_loss': '0.8228', 'visual_loss': '2.064', 'seg_loss': '0.7804', 'dino_loss': '0', 'depth_loss': '0.1757', 'vggt_mse_loss': '0.1746', 'vggt_cos_loss': '0.0112', 'pidinet_loss': '0.2777', 'siglip_loss': '0.8304', 'epoch': '0.3202'} + 99%|███████████████████████████████▋| 8900/9000 [7:48:30<04:59, 3.00s/it][Dataset] cur_step=8901 phase=D_mixed_covt[Dataset] cur_step=8901 phase=D_mixed_covt + +[Dataset] cur_step=8901 phase=D_mixed_covt +[Dataset] cur_step=8901 phase=D_mixed_covt +[Dataset] cur_step=8901 phase=D_mixed_covt +[Dataset] cur_step=8901 phase=D_mixed_covt +[Dataset] cur_step=8901 phase=D_mixed_covt + 99%|███████████████████████████████▋| 8901/9000 [7:48:31<04:25, 2.68s/it][Dataset] cur_step=8901 phase=D_mixed_covt + {'loss': '2.272', 'grad_norm': '4.165', 'learning_rate': '1.654e-08', 'epoch': '0.3202'} + 99%|███████████████████████████████▋| 8901/9000 [7:48:31<04:25, 2.68s/it] {'lm_loss': '0.7553', 'visual_loss': '1.608', 'seg_loss': '0.6855', 'dino_loss': '0', 'depth_loss': '0.2096', 'vggt_mse_loss': '0.2081', 'vggt_cos_loss': '0.01558', 'pidinet_loss': '0.2863', 'siglip_loss': '0.4262', 'epoch': '0.3202'} + 99%|███████████████████████████████▋| 8901/9000 [7:48:32<04:25, 2.68s/it][Dataset] cur_step=8902 phase=D_mixed_covt +[Dataset] cur_step=8902 phase=D_mixed_covt[Dataset] cur_step=8902 phase=D_mixed_covt + +[Dataset] cur_step=8902 phase=D_mixed_covt +[Dataset] cur_step=8902 phase=D_mixed_covt +[Dataset] cur_step=8902 phase=D_mixed_covt 99%|███████████████████████████████▋| 8902/9000 [7:48:33<04:04, 2.50s/it] +[Dataset] cur_step=8902 phase=D_mixed_covt +[Dataset] cur_step=8902 phase=D_mixed_covt + {'loss': '2.749', 'grad_norm': '6.808', 'learning_rate': '1.621e-08', 'epoch': '0.3203'} + 99%|███████████████████████████████▋| 8902/9000 [7:48:33<04:04, 2.50s/it] {'lm_loss': '0.5873', 'visual_loss': '2.31', 'seg_loss': '0.6021', 'dino_loss': '0.8916', 'depth_loss': '0.2475', 'vggt_mse_loss': '0.2461', 'vggt_cos_loss': '0.01459', 'pidinet_loss': '0.1485', 'siglip_loss': '0.42', 'epoch': '0.3203'} + 99%|███████████████████████████████▋| 8902/9000 [7:48:36<04:04, 2.50s/it][Dataset] cur_step=8903 phase=D_mixed_covt +[Dataset] cur_step=8903 phase=D_mixed_covt +[Dataset] cur_step=8903 phase=D_mixed_covt + 99%|███████████████████████████████▋| 8903/9000 [7:48:37<04:58, 3.08s/it][Dataset] cur_step=8903 phase=D_mixed_covt[Dataset] cur_step=8903 phase=D_mixed_covt + +[Dataset] cur_step=8903 phase=D_mixed_covt +[Dataset] cur_step=8903 phase=D_mixed_covt +[Dataset] cur_step=8903 phase=D_mixed_covt + {'loss': '3.275', 'grad_norm': '3.638', 'learning_rate': '1.588e-08', 'epoch': '0.3203'} + 99%|███████████████████████████████▋| 8903/9000 [7:48:37<04:58, 3.08s/it] {'lm_loss': '0.8137', 'visual_loss': '2.661', 'seg_loss': '0.6396', 'dino_loss': '0.9634', 'depth_loss': '0.1682', 'vggt_mse_loss': '0.167', 'vggt_cos_loss': '0.01186', 'pidinet_loss': '0.3884', 'siglip_loss': '0.5017', 'epoch': '0.3203'} + 99%|███████████████████████████████▋| 8903/9000 [7:48:39<04:58, 3.08s/it][Dataset] cur_step=8904 phase=D_mixed_covt +[Dataset] cur_step=8904 phase=D_mixed_covt +[Dataset] cur_step=8904 phase=D_mixed_covt +[Dataset] cur_step=8904 phase=D_mixed_covt[Dataset] cur_step=8904 phase=D_mixed_covt + +[Dataset] cur_step=8904 phase=D_mixed_covt[Dataset] cur_step=8904 phase=D_mixed_covt + + 99%|███████████████████████████████▋| 8904/9000 [7:48:42<05:39, 3.54s/it][Dataset] cur_step=8904 phase=D_mixed_covt + {'loss': '3.052', 'grad_norm': '9.337', 'learning_rate': '1.555e-08', 'epoch': '0.3203'} + 99%|███████████████████████████████▋| 8904/9000 [7:48:42<05:39, 3.54s/it] {'lm_loss': '1.151', 'visual_loss': '2.36', 'seg_loss': '0.5715', 'dino_loss': '0.9111', 'depth_loss': '0.1916', 'vggt_mse_loss': '0.1903', 'vggt_cos_loss': '0.01265', 'pidinet_loss': '0.2029', 'siglip_loss': '0.4826', 'epoch': '0.3203'} + 99%|███████████████████████████████▋| 8904/9000 [7:48:43<05:39, 3.54s/it][Dataset] cur_step=8905 phase=D_mixed_covt +[Dataset] cur_step=8905 phase=D_mixed_covt +[Dataset] cur_step=8905 phase=D_mixed_covt +[Dataset] cur_step=8905 phase=D_mixed_covt +[Dataset] cur_step=8905 phase=D_mixed_covt[Dataset] cur_step=8905 phase=D_mixed_covt + +[Dataset] cur_step=8905 phase=D_mixed_covt 99%|███████████████████████████████▋| 8905/9000 [7:48:44<04:52, 3.08s/it] +[Dataset] cur_step=8905 phase=D_mixed_covt + {'loss': '3.544', 'grad_norm': '3.493', 'learning_rate': '1.523e-08', 'epoch': '0.3204'} + 99%|███████████████████████████████▋| 8905/9000 [7:48:44<04:52, 3.08s/it] {'lm_loss': '0.9094', 'visual_loss': '2.203', 'seg_loss': '0.7868', 'dino_loss': '0.9122', 'depth_loss': '0.2597', 'vggt_mse_loss': '0.2582', 'vggt_cos_loss': '0.0156', 'pidinet_loss': '0.2443', 'siglip_loss': '0', 'epoch': '0.3204'} + 99%|███████████████████████████████▋| 8905/9000 [7:48:45<04:52, 3.08s/it][Dataset] cur_step=8906 phase=D_mixed_covt +[Dataset] cur_step=8906 phase=D_mixed_covt +[Dataset] cur_step=8906 phase=D_mixed_covt +[Dataset] cur_step=8906 phase=D_mixed_covt +[Dataset] cur_step=8906 phase=D_mixed_covt +[Dataset] cur_step=8906 phase=D_mixed_covt +[Dataset] cur_step=8906 phase=D_mixed_covt + 99%|███████████████████████████████▋| 8906/9000 [7:48:46<04:15, 2.72s/it][Dataset] cur_step=8906 phase=D_mixed_covt + {'loss': '2.923', 'grad_norm': '2.941', 'learning_rate': '1.491e-08', 'epoch': '0.3204'} + 99%|███████████████████████████████▋| 8906/9000 [7:48:46<04:15, 2.72s/it] {'lm_loss': '0.3904', 'visual_loss': '2.8', 'seg_loss': '0.8442', 'dino_loss': '0.8792', 'depth_loss': '0.2627', 'vggt_mse_loss': '0.2607', 'vggt_cos_loss': '0.02004', 'pidinet_loss': '0.2262', 'siglip_loss': '0.5873', 'epoch': '0.3204'} + 99%|███████████████████████████████▋| 8906/9000 [7:48:48<04:15, 2.72s/it][Dataset] cur_step=8907 phase=D_mixed_covt +[Dataset] cur_step=8907 phase=D_mixed_covt[Dataset] cur_step=8907 phase=D_mixed_covt + +[Dataset] cur_step=8907 phase=D_mixed_covt +[Dataset] cur_step=8907 phase=D_mixed_covt +[Dataset] cur_step=8907 phase=D_mixed_covt +[Dataset] cur_step=8907 phase=D_mixed_covt +[Dataset] cur_step=8907 phase=D_mixed_covt + 99%|███████████████████████████████▋| 8907/9000 [7:48:49<04:27, 2.87s/it] {'loss': '3.233', 'grad_norm': '2.321', 'learning_rate': '1.459e-08', 'epoch': '0.3204'} + 99%|███████████████████████████████▋| 8907/9000 [7:48:49<04:27, 2.87s/it] {'lm_loss': '0.7148', 'visual_loss': '2.46', 'seg_loss': '0.64', 'dino_loss': '0.8232', 'depth_loss': '0.2219', 'vggt_mse_loss': '0.2209', 'vggt_cos_loss': '0.0108', 'pidinet_loss': '0.2469', 'siglip_loss': '0.5283', 'epoch': '0.3204'} + 99%|███████████████████████████████▋| 8907/9000 [7:48:52<04:27, 2.87s/it][Dataset] cur_step=8908 phase=D_mixed_covt +[Dataset] cur_step=8908 phase=D_mixed_covt +[Dataset] cur_step=8908 phase=D_mixed_covt +[Dataset] cur_step=8908 phase=D_mixed_covt[Dataset] cur_step=8908 phase=D_mixed_covt + +[Dataset] cur_step=8908 phase=D_mixed_covt +[Dataset] cur_step=8908 phase=D_mixed_covt +[Dataset] cur_step=8908 phase=D_mixed_covt + 99%|███████████████████████████████▋| 8908/9000 [7:48:53<04:46, 3.11s/it] {'loss': '3.322', 'grad_norm': '27.04', 'learning_rate': '1.428e-08', 'epoch': '0.3205'} + 99%|███████████████████████████████▋| 8908/9000 [7:48:53<04:46, 3.11s/it] {'lm_loss': '1.072', 'visual_loss': '2.712', 'seg_loss': '0.7827', 'dino_loss': '0.9073', 'depth_loss': '0.2691', 'vggt_mse_loss': '0.2663', 'vggt_cos_loss': '0.0272', 'pidinet_loss': '0.214', 'siglip_loss': '0.5384', 'epoch': '0.3205'} + 99%|███████████████████████████████▋| 8908/9000 [7:48:55<04:46, 3.11s/it][Dataset] cur_step=8909 phase=D_mixed_covt +[Dataset] cur_step=8909 phase=D_mixed_covt[Dataset] cur_step=8909 phase=D_mixed_covt + +[Dataset] cur_step=8909 phase=D_mixed_covt +[Dataset] cur_step=8909 phase=D_mixed_covt +[Dataset] cur_step=8909 phase=D_mixed_covt +[Dataset] cur_step=8909 phase=D_mixed_covt +[Dataset] cur_step=8909 phase=D_mixed_covt + 99%|███████████████████████████████▋| 8909/9000 [7:48:56<04:46, 3.15s/it] {'loss': '3.174', 'grad_norm': '5.555', 'learning_rate': '1.397e-08', 'epoch': '0.3205'} + 99%|███████████████████████████████▋| 8909/9000 [7:48:56<04:46, 3.15s/it] {'lm_loss': '0.5488', 'visual_loss': '3.028', 'seg_loss': '0.6756', 'dino_loss': '0.9055', 'depth_loss': '0.5036', 'vggt_mse_loss': '0.4969', 'vggt_cos_loss': '0.06658', 'pidinet_loss': '0.256', 'siglip_loss': '0.6876', 'epoch': '0.3205'} + 99%|███████████████████████████████▋| 8909/9000 [7:48:58<04:46, 3.15s/it][Dataset] cur_step=8910 phase=D_mixed_covt[Dataset] cur_step=8910 phase=D_mixed_covt + +[Dataset] cur_step=8910 phase=D_mixed_covt 99%|███████████████████████████████▋| 8910/9000 [7:48:59<04:31, 3.01s/it] +[Dataset] cur_step=8910 phase=D_mixed_covt +[Dataset] cur_step=8910 phase=D_mixed_covt +[Dataset] cur_step=8910 phase=D_mixed_covt +[Dataset] cur_step=8910 phase=D_mixed_covt +[Dataset] cur_step=8910 phase=D_mixed_covt + {'loss': '3.178', 'grad_norm': '2.334', 'learning_rate': '1.367e-08', 'epoch': '0.3205'} + 99%|███████████████████████████████▋| 8910/9000 [7:48:59<04:31, 3.01s/it] {'lm_loss': '0.6315', 'visual_loss': '2.884', 'seg_loss': '0.8765', 'dino_loss': '0.908', 'depth_loss': '0.2087', 'vggt_mse_loss': '0.2073', 'vggt_cos_loss': '0.0147', 'pidinet_loss': '0.3225', 'siglip_loss': '0.5684', 'epoch': '0.3205'} + 99%|███████████████████████████████▋| 8910/9000 [7:49:00<04:31, 3.01s/it][Dataset] cur_step=8911 phase=D_mixed_covt +[Dataset] cur_step=8911 phase=D_mixed_covt +[Dataset] cur_step=8911 phase=D_mixed_covt +[Dataset] cur_step=8911 phase=D_mixed_covt[Dataset] cur_step=8911 phase=D_mixed_covt + +[Dataset] cur_step=8911 phase=D_mixed_covt[Dataset] cur_step=8911 phase=D_mixed_covt + + 99%|███████████████████████████████▋| 8911/9000 [7:49:02<04:25, 2.99s/it][Dataset] cur_step=8911 phase=D_mixed_covt + {'loss': '3.421', 'grad_norm': '3.438', 'learning_rate': '1.337e-08', 'epoch': '0.3206'} + 99%|███████████████████████████████▋| 8911/9000 [7:49:02<04:25, 2.99s/it] {'lm_loss': '0.3304', 'visual_loss': '2.66', 'seg_loss': '0.6332', 'dino_loss': '0.9196', 'depth_loss': '0.3183', 'vggt_mse_loss': '0.3166', 'vggt_cos_loss': '0.01652', 'pidinet_loss': '0.198', 'siglip_loss': '0.5908', 'epoch': '0.3206'} + 99%|███████████████████████████████▋| 8911/9000 [7:49:03<04:25, 2.99s/it][Dataset] cur_step=8912 phase=D_mixed_covt +[Dataset] cur_step=8912 phase=D_mixed_covt[Dataset] cur_step=8912 phase=D_mixed_covt + +[Dataset] cur_step=8912 phase=D_mixed_covt +[Dataset] cur_step=8912 phase=D_mixed_covt +[Dataset] cur_step=8912 phase=D_mixed_covt +[Dataset] cur_step=8912 phase=D_mixed_covt 99%|███████████████████████████████▋| 8912/9000 [7:49:04<04:16, 2.91s/it][Dataset] cur_step=8912 phase=D_mixed_covt + + {'loss': '3.183', 'grad_norm': '3.714', 'learning_rate': '1.307e-08', 'epoch': '0.3206'} + 99%|███████████████████████████████▋| 8912/9000 [7:49:04<04:16, 2.91s/it] {'lm_loss': '0.6171', 'visual_loss': '2.357', 'seg_loss': '0.639', 'dino_loss': '0.8191', 'depth_loss': '0.1868', 'vggt_mse_loss': '0.1854', 'vggt_cos_loss': '0.0135', 'pidinet_loss': '0', 'siglip_loss': '0.7125', 'epoch': '0.3206'} + 99%|███████████████████████████████▋| 8912/9000 [7:49:06<04:16, 2.91s/it][Dataset] cur_step=8913 phase=D_mixed_covt +[Dataset] cur_step=8913 phase=D_mixed_covt +[Dataset] cur_step=8913 phase=D_mixed_covt[Dataset] cur_step=8913 phase=D_mixed_covt + +[Dataset] cur_step=8913 phase=D_mixed_covt + 99%|███████████████████████████████▋| 8913/9000 [7:49:06<03:43, 2.56s/it][Dataset] cur_step=8913 phase=D_mixed_covt +[Dataset] cur_step=8913 phase=D_mixed_covt +[Dataset] cur_step=8913 phase=D_mixed_covt + {'loss': '3.004', 'grad_norm': '5.343', 'learning_rate': '1.277e-08', 'epoch': '0.3206'} + 99%|███████████████████████████████▋| 8913/9000 [7:49:06<03:43, 2.56s/it] {'lm_loss': '0.7825', 'visual_loss': '2.694', 'seg_loss': '0.6439', 'dino_loss': '0.9394', 'depth_loss': '0.2759', 'vggt_mse_loss': '0.2743', 'vggt_cos_loss': '0.01616', 'pidinet_loss': '0.2692', 'siglip_loss': '0.5656', 'epoch': '0.3206'} + 99%|███████████████████████████████▋| 8913/9000 [7:49:10<03:43, 2.56s/it][Dataset] cur_step=8914 phase=D_mixed_covt[Dataset] cur_step=8914 phase=D_mixed_covt + +[Dataset] cur_step=8914 phase=D_mixed_covt +[Dataset] cur_step=8914 phase=D_mixed_covt +[Dataset] cur_step=8914 phase=D_mixed_covt 99%|███████████████████████████████▋| 8914/9000 [7:49:11<04:34, 3.19s/it] +[Dataset] cur_step=8914 phase=D_mixed_covt +[Dataset] cur_step=8914 phase=D_mixed_covt +[Dataset] cur_step=8914 phase=D_mixed_covt + {'loss': '3.309', 'grad_norm': '5.419', 'learning_rate': '1.248e-08', 'epoch': '0.3207'} + 99%|███████████████████████████████▋| 8914/9000 [7:49:11<04:34, 3.19s/it] {'lm_loss': '0.5478', 'visual_loss': '2.868', 'seg_loss': '0.8037', 'dino_loss': '0.9237', 'depth_loss': '0.3058', 'vggt_mse_loss': '0.3035', 'vggt_cos_loss': '0.02258', 'pidinet_loss': '0.2197', 'siglip_loss': '0.6155', 'epoch': '0.3207'} + 99%|███████████████████████████████▋| 8914/9000 [7:49:13<04:34, 3.19s/it][Dataset] cur_step=8915 phase=D_mixed_covt +[Dataset] cur_step=8915 phase=D_mixed_covt +[Dataset] cur_step=8915 phase=D_mixed_covt[Dataset] cur_step=8915 phase=D_mixed_covt + +[Dataset] cur_step=8915 phase=D_mixed_covt[Dataset] cur_step=8915 phase=D_mixed_covt + +[Dataset] cur_step=8915 phase=D_mixed_covt[Dataset] cur_step=8915 phase=D_mixed_covt + + 99%|███████████████████████████████▋| 8915/9000 [7:49:14<04:33, 3.22s/it] {'loss': '3.19', 'grad_norm': '2.821', 'learning_rate': '1.219e-08', 'epoch': '0.3207'} + 99%|███████████████████████████████▋| 8915/9000 [7:49:14<04:33, 3.22s/it] {'lm_loss': '0.8162', 'visual_loss': '2.835', 'seg_loss': '0.7439', 'dino_loss': '0.8817', 'depth_loss': '0.3118', 'vggt_mse_loss': '0.3097', 'vggt_cos_loss': '0.02126', 'pidinet_loss': '0.304', 'siglip_loss': '0.5934', 'epoch': '0.3207'} + 99%|███████████████████████████████▋| 8915/9000 [7:49:16<04:33, 3.22s/it][Dataset] cur_step=8916 phase=D_mixed_covt +[Dataset] cur_step=8916 phase=D_mixed_covt +[Dataset] cur_step=8916 phase=D_mixed_covt +[Dataset] cur_step=8916 phase=D_mixed_covt[Dataset] cur_step=8916 phase=D_mixed_covt +[Dataset] cur_step=8916 phase=D_mixed_covt + +[Dataset] cur_step=8916 phase=D_mixed_covt 99%|███████████████████████████████▋| 8916/9000 [7:49:17<04:31, 3.23s/it] +[Dataset] cur_step=8916 phase=D_mixed_covt + {'loss': '3.485', 'grad_norm': '3.339', 'learning_rate': '1.191e-08', 'epoch': '0.3208'} + 99%|███████████████████████████████▋| 8916/9000 [7:49:17<04:31, 3.23s/it] {'lm_loss': '0.362', 'visual_loss': '2.617', 'seg_loss': '0.7311', 'dino_loss': '0.9612', 'depth_loss': '0.3207', 'vggt_mse_loss': '0.3182', 'vggt_cos_loss': '0.02445', 'pidinet_loss': '0.1814', 'siglip_loss': '0.4226', 'epoch': '0.3208'} + 99%|███████████████████████████████▋| 8916/9000 [7:49:19<04:31, 3.23s/it][Dataset] cur_step=8917 phase=D_mixed_covt +[Dataset] cur_step=8917 phase=D_mixed_covt +[Dataset] cur_step=8917 phase=D_mixed_covt[Dataset] cur_step=8917 phase=D_mixed_covt[Dataset] cur_step=8917 phase=D_mixed_covt + + +[Dataset] cur_step=8917 phase=D_mixed_covt +[Dataset] cur_step=8917 phase=D_mixed_covt[Dataset] cur_step=8917 phase=D_mixed_covt + + 99%|███████████████████████████████▋| 8917/9000 [7:49:20<04:08, 2.99s/it] {'loss': '3.167', 'grad_norm': '6.781', 'learning_rate': '1.163e-08', 'epoch': '0.3208'} + 99%|███████████████████████████████▋| 8917/9000 [7:49:20<04:08, 2.99s/it] {'lm_loss': '0.1888', 'visual_loss': '2.537', 'seg_loss': '0.6657', 'dino_loss': '0.8798', 'depth_loss': '0.2153', 'vggt_mse_loss': '0.2141', 'vggt_cos_loss': '0.0126', 'pidinet_loss': '0.2148', 'siglip_loss': '0.5612', 'epoch': '0.3208'} + 99%|███████████████████████████████▋| 8917/9000 [7:49:22<04:08, 2.99s/it][Dataset] cur_step=8918 phase=D_mixed_covt +[Dataset] cur_step=8918 phase=D_mixed_covt[Dataset] cur_step=8918 phase=D_mixed_covt[Dataset] cur_step=8918 phase=D_mixed_covt + + + 99%|███████████████████████████████▋| 8918/9000 [7:49:23<04:12, 3.08s/it][Dataset] cur_step=8918 phase=D_mixed_covt +[Dataset] cur_step=8918 phase=D_mixed_covt +[Dataset] cur_step=8918 phase=D_mixed_covt +[Dataset] cur_step=8918 phase=D_mixed_covt + {'loss': '3.228', 'grad_norm': '2.495', 'learning_rate': '1.135e-08', 'epoch': '0.3208'} + 99%|███████████████████████████████▋| 8918/9000 [7:49:23<04:12, 3.08s/it] {'lm_loss': '0.4015', 'visual_loss': '2.674', 'seg_loss': '0.6401', 'dino_loss': '0.9424', 'depth_loss': '0.1847', 'vggt_mse_loss': '0.1835', 'vggt_cos_loss': '0.01194', 'pidinet_loss': '0.2837', 'siglip_loss': '0.6233', 'epoch': '0.3208'} + 99%|███████████████████████████████▋| 8918/9000 [7:49:26<04:12, 3.08s/it][Dataset] cur_step=8919 phase=D_mixed_covt +[Dataset] cur_step=8919 phase=D_mixed_covt +[Dataset] cur_step=8919 phase=D_mixed_covt +[Dataset] cur_step=8919 phase=D_mixed_covt +[Dataset] cur_step=8919 phase=D_mixed_covt +[Dataset] cur_step=8919 phase=D_mixed_covt +[Dataset] cur_step=8919 phase=D_mixed_covt + 99%|███████████████████████████████▋| 8919/9000 [7:49:26<04:19, 3.21s/it][Dataset] cur_step=8919 phase=D_mixed_covt + {'loss': '2.987', 'grad_norm': '3.518', 'learning_rate': '1.107e-08', 'epoch': '0.3209'} + 99%|███████████████████████████████▋| 8919/9000 [7:49:26<04:19, 3.21s/it] {'lm_loss': '0.08961', 'visual_loss': '2.387', 'seg_loss': '0.8036', 'dino_loss': '0.9061', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2464', 'siglip_loss': '0.4314', 'epoch': '0.3209'} + 99%|███████████████████████████████▋| 8919/9000 [7:49:28<04:19, 3.21s/it][Dataset] cur_step=8920 phase=D_mixed_covt +[Dataset] cur_step=8920 phase=D_mixed_covt[Dataset] cur_step=8920 phase=D_mixed_covt + + 99%|███████████████████████████████▋| 8920/9000 [7:49:28<03:39, 2.74s/it][Dataset] cur_step=8920 phase=D_mixed_covt +[Dataset] cur_step=8920 phase=D_mixed_covt +[Dataset] cur_step=8920 phase=D_mixed_covt +[Dataset] cur_step=8920 phase=D_mixed_covt +[Dataset] cur_step=8920 phase=D_mixed_covt + {'loss': '2.821', 'grad_norm': '2.964', 'learning_rate': '1.08e-08', 'epoch': '0.3209'} + 99%|███████████████████████████████▋| 8920/9000 [7:49:28<03:39, 2.74s/it] {'lm_loss': '0.5474', 'visual_loss': '2.837', 'seg_loss': '0.5681', 'dino_loss': '0.9621', 'depth_loss': '0.3985', 'vggt_mse_loss': '0.3943', 'vggt_cos_loss': '0.04219', 'pidinet_loss': '0.2458', 'siglip_loss': '0.6627', 'epoch': '0.3209'} + 99%|███████████████████████████████▋| 8920/9000 [7:49:30<03:39, 2.74s/it][Dataset] cur_step=8921 phase=D_mixed_covt +[Dataset] cur_step=8921 phase=D_mixed_covt +[Dataset] cur_step=8921 phase=D_mixed_covt[Dataset] cur_step=8921 phase=D_mixed_covt + +[Dataset] cur_step=8921 phase=D_mixed_covt[Dataset] cur_step=8921 phase=D_mixed_covt + + 99%|███████████████████████████████▋| 8921/9000 [7:49:31<03:41, 2.81s/it][Dataset] cur_step=8921 phase=D_mixed_covt +[Dataset] cur_step=8921 phase=D_mixed_covt + {'loss': '3.71', 'grad_norm': '2.929', 'learning_rate': '1.053e-08', 'epoch': '0.3209'} + 99%|███████████████████████████████▋| 8921/9000 [7:49:31<03:41, 2.81s/it] {'lm_loss': '0.08788', 'visual_loss': '2.368', 'seg_loss': '0.5918', 'dino_loss': '0.9468', 'depth_loss': '0.1994', 'vggt_mse_loss': '0.1977', 'vggt_cos_loss': '0.0175', 'pidinet_loss': '0.2442', 'siglip_loss': '0.386', 'epoch': '0.3209'} + 99%|███████████████████████████████▋| 8921/9000 [7:49:33<03:41, 2.81s/it][Dataset] cur_step=8922 phase=D_mixed_covt +[Dataset] cur_step=8922 phase=D_mixed_covt +[Dataset] cur_step=8922 phase=D_mixed_covt +[Dataset] cur_step=8922 phase=D_mixed_covt +[Dataset] cur_step=8922 phase=D_mixed_covt +[Dataset] cur_step=8922 phase=D_mixed_covt +[Dataset] cur_step=8922 phase=D_mixed_covt 99%|███████████████████████████████▋| 8922/9000 [7:49:34<03:37, 2.78s/it] +[Dataset] cur_step=8922 phase=D_mixed_covt + {'loss': '3.3', 'grad_norm': '2.841', 'learning_rate': '1.027e-08', 'epoch': '0.321'} + 99%|███████████████████████████████▋| 8922/9000 [7:49:34<03:37, 2.78s/it] {'lm_loss': '0.8434', 'visual_loss': '0.1736', 'seg_loss': '0', 'dino_loss': '0', 'depth_loss': '0.1736', 'vggt_mse_loss': '0.173', 'vggt_cos_loss': '0.005333', 'pidinet_loss': '0', 'siglip_loss': '0', 'epoch': '0.321'} + 99%|███████████████████████████████▋| 8922/9000 [7:49:34<03:37, 2.78s/it][Dataset] cur_step=8923 phase=D_mixed_covt +[Dataset] cur_step=8923 phase=D_mixed_covt[Dataset] cur_step=8923 phase=D_mixed_covt + +[Dataset] cur_step=8923 phase=D_mixed_covt +[Dataset] cur_step=8923 phase=D_mixed_covt +[Dataset] cur_step=8923 phase=D_mixed_covt 99%|███████████████████████████████▋| 8923/9000 [7:49:35<02:53, 2.26s/it] +[Dataset] cur_step=8923 phase=D_mixed_covt +[Dataset] cur_step=8923 phase=D_mixed_covt + {'loss': '1.166', 'grad_norm': '3.587', 'learning_rate': '1.001e-08', 'epoch': '0.321'} + 99%|███████████████████████████████▋| 8923/9000 [7:49:35<02:53, 2.26s/it] {'lm_loss': '0.4029', 'visual_loss': '2.714', 'seg_loss': '0.7476', 'dino_loss': '0.9116', 'depth_loss': '0.2238', 'vggt_mse_loss': '0.2223', 'vggt_cos_loss': '0.01421', 'pidinet_loss': '0.2908', 'siglip_loss': '0.5399', 'epoch': '0.321'} + 99%|███████████████████████████████▋| 8923/9000 [7:49:37<02:53, 2.26s/it][Dataset] cur_step=8924 phase=D_mixed_covt +[Dataset] cur_step=8924 phase=D_mixed_covt +[Dataset] cur_step=8924 phase=D_mixed_covt[Dataset] cur_step=8924 phase=D_mixed_covt + +[Dataset] cur_step=8924 phase=D_mixed_covt +[Dataset] cur_step=8924 phase=D_mixed_covt 99%|███████████████████████████████▋| 8924/9000 [7:49:37<02:58, 2.35s/it] +[Dataset] cur_step=8924 phase=D_mixed_covt[Dataset] cur_step=8924 phase=D_mixed_covt + + {'loss': '3.127', 'grad_norm': '3.605', 'learning_rate': '9.747e-09', 'epoch': '0.321'} + 99%|███████████████████████████████▋| 8924/9000 [7:49:37<02:58, 2.35s/it] {'lm_loss': '1.127', 'visual_loss': '2.848', 'seg_loss': '0.7615', 'dino_loss': '0.8474', 'depth_loss': '0.2623', 'vggt_mse_loss': '0.261', 'vggt_cos_loss': '0.01285', 'pidinet_loss': '0.3223', 'siglip_loss': '0.6545', 'epoch': '0.321'} + 99%|███████████████████████████████▋| 8924/9000 [7:49:39<02:58, 2.35s/it][Dataset] cur_step=8925 phase=D_mixed_covt +[Dataset] cur_step=8925 phase=D_mixed_covt +[Dataset] cur_step=8925 phase=D_mixed_covt[Dataset] cur_step=8925 phase=D_mixed_covt[Dataset] cur_step=8925 phase=D_mixed_covt + + +[Dataset] cur_step=8925 phase=D_mixed_covt + 99%|███████████████████████████████▋| 8925/9000 [7:49:40<03:02, 2.44s/it][Dataset] cur_step=8925 phase=D_mixed_covt +[Dataset] cur_step=8925 phase=D_mixed_covt + {'loss': '3.451', 'grad_norm': '3.368', 'learning_rate': '9.492e-09', 'epoch': '0.3211'} + 99%|███████████████████████████████▋| 8925/9000 [7:49:40<03:02, 2.44s/it] {'lm_loss': '0.7895', 'visual_loss': '2.583', 'seg_loss': '0.7542', 'dino_loss': '0.9236', 'depth_loss': '0.2298', 'vggt_mse_loss': '0.2279', 'vggt_cos_loss': '0.01975', 'pidinet_loss': '0.2316', 'siglip_loss': '0.4441', 'epoch': '0.3211'} + 99%|███████████████████████████████▋| 8925/9000 [7:49:42<03:02, 2.44s/it][Dataset] cur_step=8926 phase=D_mixed_covt +[Dataset] cur_step=8926 phase=D_mixed_covt +[Dataset] cur_step=8926 phase=D_mixed_covt +[Dataset] cur_step=8926 phase=D_mixed_covt[Dataset] cur_step=8926 phase=D_mixed_covt + +[Dataset] cur_step=8926 phase=D_mixed_covt +[Dataset] cur_step=8926 phase=D_mixed_covt +[Dataset] cur_step=8926 phase=D_mixed_covt + 99%|███████████████████████████████▋| 8926/9000 [7:49:43<03:10, 2.57s/it] {'loss': '3.395', 'grad_norm': '3.139', 'learning_rate': '9.241e-09', 'epoch': '0.3211'} + 99%|███████████████████████████████▋| 8926/9000 [7:49:43<03:10, 2.57s/it] {'lm_loss': '0.7286', 'visual_loss': '1.801', 'seg_loss': '0.5169', 'dino_loss': '0.8152', 'depth_loss': '0.1974', 'vggt_mse_loss': '0.1962', 'vggt_cos_loss': '0.01195', 'pidinet_loss': '0.2719', 'siglip_loss': '0', 'epoch': '0.3211'} + 99%|███████████████████████████████▋| 8926/9000 [7:49:45<03:10, 2.57s/it][Dataset] cur_step=8927 phase=D_mixed_covt[Dataset] cur_step=8927 phase=D_mixed_covt[Dataset] cur_step=8927 phase=D_mixed_covt + + +[Dataset] cur_step=8927 phase=D_mixed_covt +[Dataset] cur_step=8927 phase=D_mixed_covt +[Dataset] cur_step=8927 phase=D_mixed_covt 99%|███████████████████████████████▋| 8927/9000 [7:49:46<03:10, 2.60s/it] +[Dataset] cur_step=8927 phase=D_mixed_covt +[Dataset] cur_step=8927 phase=D_mixed_covt + {'loss': '2.734', 'grad_norm': '4.99', 'learning_rate': '8.993e-09', 'epoch': '0.3211'} + 99%|███████████████████████████████▋| 8927/9000 [7:49:46<03:10, 2.60s/it] {'lm_loss': '0.5454', 'visual_loss': '2.571', 'seg_loss': '0.7765', 'dino_loss': '0.8851', 'depth_loss': '0.1481', 'vggt_mse_loss': '0.1469', 'vggt_cos_loss': '0.01191', 'pidinet_loss': '0.2411', 'siglip_loss': '0.52', 'epoch': '0.3211'} + 99%|███████████████████████████████▋| 8927/9000 [7:49:47<03:10, 2.60s/it][Dataset] cur_step=8928 phase=D_mixed_covt +[Dataset] cur_step=8928 phase=D_mixed_covt[Dataset] cur_step=8928 phase=D_mixed_covt + +[Dataset] cur_step=8928 phase=D_mixed_covt[Dataset] cur_step=8928 phase=D_mixed_covt + +[Dataset] cur_step=8928 phase=D_mixed_covt[Dataset] cur_step=8928 phase=D_mixed_covt + + 99%|███████████████████████████████▋| 8928/9000 [7:49:48<03:06, 2.59s/it][Dataset] cur_step=8928 phase=D_mixed_covt + {'loss': '3.221', 'grad_norm': '6.737', 'learning_rate': '8.748e-09', 'epoch': '0.3212'} + 99%|███████████████████████████████▋| 8928/9000 [7:49:48<03:06, 2.59s/it] {'lm_loss': '0.8441', 'visual_loss': '2.4', 'seg_loss': '0.6615', 'dino_loss': '0.8392', 'depth_loss': '0.1474', 'vggt_mse_loss': '0.1468', 'vggt_cos_loss': '0.005713', 'pidinet_loss': '0.1425', 'siglip_loss': '0.6097', 'epoch': '0.3212'} + 99%|███████████████████████████████▋| 8928/9000 [7:49:50<03:06, 2.59s/it][Dataset] cur_step=8929 phase=D_mixed_covt +[Dataset] cur_step=8929 phase=D_mixed_covt +[Dataset] cur_step=8929 phase=D_mixed_covt +[Dataset] cur_step=8929 phase=D_mixed_covt +[Dataset] cur_step=8929 phase=D_mixed_covt + 99%|███████████████████████████████▋| 8929/9000 [7:49:51<03:04, 2.60s/it][Dataset] cur_step=8929 phase=D_mixed_covt[Dataset] cur_step=8929 phase=D_mixed_covt + +[Dataset] cur_step=8929 phase=D_mixed_covt + {'loss': '3.284', 'grad_norm': '5.463', 'learning_rate': '8.507e-09', 'epoch': '0.3212'} + 99%|███████████████████████████████▋| 8929/9000 [7:49:51<03:04, 2.60s/it] {'lm_loss': '0.837', 'visual_loss': '2.71', 'seg_loss': '0.8071', 'dino_loss': '0.9105', 'depth_loss': '0.2452', 'vggt_mse_loss': '0.2432', 'vggt_cos_loss': '0.02013', 'pidinet_loss': '0.2048', 'siglip_loss': '0.5424', 'epoch': '0.3212'} + 99%|███████████████████████████████▋| 8929/9000 [7:49:53<03:04, 2.60s/it][Dataset] cur_step=8930 phase=D_mixed_covt +[Dataset] cur_step=8930 phase=D_mixed_covt +[Dataset] cur_step=8930 phase=D_mixed_covt +[Dataset] cur_step=8930 phase=D_mixed_covt +[Dataset] cur_step=8930 phase=D_mixed_covt[Dataset] cur_step=8930 phase=D_mixed_covt + +[Dataset] cur_step=8930 phase=D_mixed_covt + 99%|███████████████████████████████▊| 8930/9000 [7:49:53<03:03, 2.62s/it][Dataset] cur_step=8930 phase=D_mixed_covt + {'loss': '2.929', 'grad_norm': '2.231', 'learning_rate': '8.269e-09', 'epoch': '0.3213'} + 99%|███████████████████████████████▊| 8930/9000 [7:49:53<03:03, 2.62s/it] {'lm_loss': '0.7506', 'visual_loss': '2.633', 'seg_loss': '0.7187', 'dino_loss': '0.9053', 'depth_loss': '0.2426', 'vggt_mse_loss': '0.2409', 'vggt_cos_loss': '0.01757', 'pidinet_loss': '0.3257', 'siglip_loss': '0.4403', 'epoch': '0.3213'} + 99%|███████████████████████████████▊| 8930/9000 [7:49:56<03:03, 2.62s/it][Dataset] cur_step=8931 phase=D_mixed_covt[Dataset] cur_step=8931 phase=D_mixed_covt + +[Dataset] cur_step=8931 phase=D_mixed_covt +[Dataset] cur_step=8931 phase=D_mixed_covt + 99%|███████████████████████████████▊| 8931/9000 [7:49:56<02:59, 2.60s/it][Dataset] cur_step=8931 phase=D_mixed_covt +[Dataset] cur_step=8931 phase=D_mixed_covt +[Dataset] cur_step=8931 phase=D_mixed_covt +[Dataset] cur_step=8931 phase=D_mixed_covt + {'loss': '3.232', 'grad_norm': '3.401', 'learning_rate': '8.034e-09', 'epoch': '0.3213'} + 99%|███████████████████████████████▊| 8931/9000 [7:49:56<02:59, 2.60s/it] {'lm_loss': '1.017', 'visual_loss': '2.263', 'seg_loss': '0.6313', 'dino_loss': '0.8438', 'depth_loss': '0.2138', 'vggt_mse_loss': '0.2125', 'vggt_cos_loss': '0.01263', 'pidinet_loss': '0.2764', 'siglip_loss': '0.2979', 'epoch': '0.3213'} + 99%|███████████████████████████████▊| 8931/9000 [7:49:59<02:59, 2.60s/it][Dataset] cur_step=8932 phase=D_mixed_covt +[Dataset] cur_step=8932 phase=D_mixed_covt[Dataset] cur_step=8932 phase=D_mixed_covt + +[Dataset] cur_step=8932 phase=D_mixed_covt +[Dataset] cur_step=8932 phase=D_mixed_covt[Dataset] cur_step=8932 phase=D_mixed_covt + +[Dataset] cur_step=8932 phase=D_mixed_covt +[Dataset] cur_step=8932 phase=D_mixed_covt 99%|███████████████████████████████▊| 8932/9000 [7:50:00<03:16, 2.89s/it] + {'loss': '3.316', 'grad_norm': '3.309', 'learning_rate': '7.803e-09', 'epoch': '0.3213'} + 99%|███████████████████████████████▊| 8932/9000 [7:50:00<03:16, 2.89s/it] {'lm_loss': '0.7904', 'visual_loss': '1.881', 'seg_loss': '0.4875', 'dino_loss': '0.8369', 'depth_loss': '0.2134', 'vggt_mse_loss': '0.2122', 'vggt_cos_loss': '0.01235', 'pidinet_loss': '0.08833', 'siglip_loss': '0.2543', 'epoch': '0.3213'} + 99%|███████████████████████████████▊| 8932/9000 [7:50:01<03:16, 2.89s/it][Dataset] cur_step=8933 phase=D_mixed_covt[Dataset] cur_step=8933 phase=D_mixed_covt + +[Dataset] cur_step=8933 phase=D_mixed_covt + 99%|███████████████████████████████▊| 8933/9000 [7:50:02<02:57, 2.65s/it][Dataset] cur_step=8933 phase=D_mixed_covt +[Dataset] cur_step=8933 phase=D_mixed_covt +[Dataset] cur_step=8933 phase=D_mixed_covt +[Dataset] cur_step=8933 phase=D_mixed_covt +[Dataset] cur_step=8933 phase=D_mixed_covt + {'loss': '3.287', 'grad_norm': '4.192', 'learning_rate': '7.575e-09', 'epoch': '0.3214'} + 99%|███████████████████████████████▊| 8933/9000 [7:50:02<02:57, 2.65s/it] {'lm_loss': '0.941', 'visual_loss': '2.725', 'seg_loss': '0.7744', 'dino_loss': '0.9212', 'depth_loss': '0.3244', 'vggt_mse_loss': '0.3217', 'vggt_cos_loss': '0.02675', 'pidinet_loss': '0.1534', 'siglip_loss': '0.552', 'epoch': '0.3214'} + 99%|███████████████████████████████▊| 8933/9000 [7:50:05<02:57, 2.65s/it][Dataset] cur_step=8934 phase=D_mixed_covt +[Dataset] cur_step=8934 phase=D_mixed_covt +[Dataset] cur_step=8934 phase=D_mixed_covt + 99%|███████████████████████████████▊| 8934/9000 [7:50:06<03:29, 3.17s/it][Dataset] cur_step=8934 phase=D_mixed_covt[Dataset] cur_step=8934 phase=D_mixed_covt + +[Dataset] cur_step=8934 phase=D_mixed_covt +[Dataset] cur_step=8934 phase=D_mixed_covt +[Dataset] cur_step=8934 phase=D_mixed_covt + {'loss': '3.093', 'grad_norm': '2.055', 'learning_rate': '7.351e-09', 'epoch': '0.3214'} + 99%|███████████████████████████████▊| 8934/9000 [7:50:06<03:29, 3.17s/it] {'lm_loss': '0.192', 'visual_loss': '0.9921', 'seg_loss': '0', 'dino_loss': '0.8754', 'depth_loss': '0.1167', 'vggt_mse_loss': '0.1162', 'vggt_cos_loss': '0.005388', 'pidinet_loss': '0', 'siglip_loss': '0', 'epoch': '0.3214'} + 99%|███████████████████████████████▊| 8934/9000 [7:50:07<03:29, 3.17s/it][Dataset] cur_step=8935 phase=D_mixed_covt[Dataset] cur_step=8935 phase=D_mixed_covt +[Dataset] cur_step=8935 phase=D_mixed_covt + +[Dataset] cur_step=8935 phase=D_mixed_covt 99%|███████████████████████████████▊| 8935/9000 [7:50:08<02:57, 2.73s/it][Dataset] cur_step=8935 phase=D_mixed_covt + +[Dataset] cur_step=8935 phase=D_mixed_covt +[Dataset] cur_step=8935 phase=D_mixed_covt +[Dataset] cur_step=8935 phase=D_mixed_covt + {'loss': '1.771', 'grad_norm': '5.598', 'learning_rate': '7.13e-09', 'epoch': '0.3214'} + 99%|███████████████████████████████▊| 8935/9000 [7:50:08<02:57, 2.73s/it] {'lm_loss': '0.5548', 'visual_loss': '2.431', 'seg_loss': '0.721', 'dino_loss': '0.8813', 'depth_loss': '0.1566', 'vggt_mse_loss': '0.1555', 'vggt_cos_loss': '0.01046', 'pidinet_loss': '0.2468', 'siglip_loss': '0.425', 'epoch': '0.3214'} + 99%|███████████████████████████████▊| 8935/9000 [7:50:10<02:57, 2.73s/it][Dataset] cur_step=8936 phase=D_mixed_covt +[Dataset] cur_step=8936 phase=D_mixed_covt + 99%|███████████████████████████████▊| 8936/9000 [7:50:12<03:15, 3.05s/it][Dataset] cur_step=8936 phase=D_mixed_covt[Dataset] cur_step=8936 phase=D_mixed_covt[Dataset] cur_step=8936 phase=D_mixed_covt +[Dataset] cur_step=8936 phase=D_mixed_covt + + +[Dataset] cur_step=8936 phase=D_mixed_covt +[Dataset] cur_step=8936 phase=D_mixed_covt + {'loss': '3.1', 'grad_norm': '3.312', 'learning_rate': '6.912e-09', 'epoch': '0.3215'} + 99%|███████████████████████████████▊| 8936/9000 [7:50:12<03:15, 3.05s/it] {'lm_loss': '0.632', 'visual_loss': '3.047', 'seg_loss': '0.8159', 'dino_loss': '0.9418', 'depth_loss': '0.4154', 'vggt_mse_loss': '0.4113', 'vggt_cos_loss': '0.04051', 'pidinet_loss': '0.2159', 'siglip_loss': '0.6583', 'epoch': '0.3215'} + 99%|███████████████████████████████▊| 8936/9000 [7:50:13<03:15, 3.05s/it][Dataset] cur_step=8937 phase=D_mixed_covt +[Dataset] cur_step=8937 phase=D_mixed_covt +[Dataset] cur_step=8937 phase=D_mixed_covt + 99%|███████████████████████████████▊| 8937/9000 [7:50:14<03:02, 2.90s/it][Dataset] cur_step=8937 phase=D_mixed_covt[Dataset] cur_step=8937 phase=D_mixed_covt[Dataset] cur_step=8937 phase=D_mixed_covt + + +[Dataset] cur_step=8937 phase=D_mixed_covt +[Dataset] cur_step=8937 phase=D_mixed_covt + {'loss': '3.421', 'grad_norm': '2.936', 'learning_rate': '6.698e-09', 'epoch': '0.3215'} + 99%|███████████████████████████████▊| 8937/9000 [7:50:14<03:02, 2.90s/it] {'lm_loss': '0.3786', 'visual_loss': '2.797', 'seg_loss': '0.7244', 'dino_loss': '0.95', 'depth_loss': '0.2361', 'vggt_mse_loss': '0.2342', 'vggt_cos_loss': '0.01852', 'pidinet_loss': '0.3391', 'siglip_loss': '0.5477', 'epoch': '0.3215'} + 99%|███████████████████████████████▊| 8937/9000 [7:50:16<03:02, 2.90s/it][Dataset] cur_step=8938 phase=D_mixed_covt +[Dataset] cur_step=8938 phase=D_mixed_covt +[Dataset] cur_step=8938 phase=D_mixed_covt + 99%|███████████████████████████████▊| 8938/9000 [7:50:17<02:55, 2.83s/it][Dataset] cur_step=8938 phase=D_mixed_covt +[Dataset] cur_step=8938 phase=D_mixed_covt +[Dataset] cur_step=8938 phase=D_mixed_covt +[Dataset] cur_step=8938 phase=D_mixed_covt[Dataset] cur_step=8938 phase=D_mixed_covt + + {'loss': '3.184', 'grad_norm': '2.743', 'learning_rate': '6.487e-09', 'epoch': '0.3215'} + 99%|███████████████████████████████▊| 8938/9000 [7:50:17<02:55, 2.83s/it] {'lm_loss': '0.6534', 'visual_loss': '2.152', 'seg_loss': '0.6808', 'dino_loss': '0.872', 'depth_loss': '0.1906', 'vggt_mse_loss': '0.1897', 'vggt_cos_loss': '0.009328', 'pidinet_loss': '0.124', 'siglip_loss': '0.2849', 'epoch': '0.3215'} + 99%|███████████████████████████████▊| 8938/9000 [7:50:20<02:55, 2.83s/it][Dataset] cur_step=8939 phase=D_mixed_covt +[Dataset] cur_step=8939 phase=D_mixed_covt +[Dataset] cur_step=8939 phase=D_mixed_covt[Dataset] cur_step=8939 phase=D_mixed_covt + +[Dataset] cur_step=8939 phase=D_mixed_covt[Dataset] cur_step=8939 phase=D_mixed_covt + +[Dataset] cur_step=8939 phase=D_mixed_covt 99%|███████████████████████████████▊| 8939/9000 [7:50:21<03:19, 3.26s/it] +[Dataset] cur_step=8939 phase=D_mixed_covt + {'loss': '3.123', 'grad_norm': '3.76', 'learning_rate': '6.279e-09', 'epoch': '0.3216'} + 99%|███████████████████████████████▊| 8939/9000 [7:50:21<03:19, 3.26s/it] {'lm_loss': '0.8085', 'visual_loss': '3.085', 'seg_loss': '0.8642', 'dino_loss': '0.9473', 'depth_loss': '0.2145', 'vggt_mse_loss': '0.2131', 'vggt_cos_loss': '0.01373', 'pidinet_loss': '0.2338', 'siglip_loss': '0.8256', 'epoch': '0.3216'} + 99%|███████████████████████████████▊| 8939/9000 [7:50:23<03:19, 3.26s/it][Dataset] cur_step=8940 phase=D_mixed_covt +[Dataset] cur_step=8940 phase=D_mixed_covt +[Dataset] cur_step=8940 phase=D_mixed_covt +[Dataset] cur_step=8940 phase=D_mixed_covt +[Dataset] cur_step=8940 phase=D_mixed_covt +[Dataset] cur_step=8940 phase=D_mixed_covt +[Dataset] cur_step=8940 phase=D_mixed_covt +[Dataset] cur_step=8940 phase=D_mixed_covt + 99%|███████████████████████████████▊| 8940/9000 [7:50:24<03:02, 3.04s/it] {'loss': '3.306', 'grad_norm': '4.61', 'learning_rate': '6.075e-09', 'epoch': '0.3216'} + 99%|███████████████████████████████▊| 8940/9000 [7:50:24<03:02, 3.04s/it] {'lm_loss': '0.7837', 'visual_loss': '2.901', 'seg_loss': '0.8331', 'dino_loss': '0.9426', 'depth_loss': '0.1594', 'vggt_mse_loss': '0.1584', 'vggt_cos_loss': '0.01003', 'pidinet_loss': '0.1913', 'siglip_loss': '0.7744', 'epoch': '0.3216'} + 99%|███████████████████████████████▊| 8940/9000 [7:50:25<03:02, 3.04s/it][Dataset] cur_step=8941 phase=D_mixed_covt +[Dataset] cur_step=8941 phase=D_mixed_covt +[Dataset] cur_step=8941 phase=D_mixed_covt +[Dataset] cur_step=8941 phase=D_mixed_covt +[Dataset] cur_step=8941 phase=D_mixed_covt + 99%|███████████████████████████████▊| 8941/9000 [7:50:25<02:37, 2.67s/it][Dataset] cur_step=8941 phase=D_mixed_covt +[Dataset] cur_step=8941 phase=D_mixed_covt +[Dataset] cur_step=8941 phase=D_mixed_covt + {'loss': '3.37', 'grad_norm': '3.216', 'learning_rate': '5.874e-09', 'epoch': '0.3217'} + 99%|███████████████████████████████▊| 8941/9000 [7:50:25<02:37, 2.67s/it] {'lm_loss': '0.3744', 'visual_loss': '2.69', 'seg_loss': '0.6334', 'dino_loss': '0.9072', 'depth_loss': '0.2202', 'vggt_mse_loss': '0.2191', 'vggt_cos_loss': '0.0109', 'pidinet_loss': '0.3432', 'siglip_loss': '0.5858', 'epoch': '0.3217'} + 99%|███████████████████████████████▊| 8941/9000 [7:50:29<02:37, 2.67s/it][Dataset] cur_step=8942 phase=D_mixed_covt +[Dataset] cur_step=8942 phase=D_mixed_covt[Dataset] cur_step=8942 phase=D_mixed_covt + +[Dataset] cur_step=8942 phase=D_mixed_covt +[Dataset] cur_step=8942 phase=D_mixed_covt +[Dataset] cur_step=8942 phase=D_mixed_covt[Dataset] cur_step=8942 phase=D_mixed_covt + + 99%|███████████████████████████████▊| 8942/9000 [7:50:29<02:58, 3.08s/it][Dataset] cur_step=8942 phase=D_mixed_covt + {'loss': '3.096', 'grad_norm': '3.746', 'learning_rate': '5.677e-09', 'epoch': '0.3217'} + 99%|███████████████████████████████▊| 8942/9000 [7:50:29<02:58, 3.08s/it] {'lm_loss': '0.9209', 'visual_loss': '2.537', 'seg_loss': '0.7413', 'dino_loss': '0.8975', 'depth_loss': '0.2564', 'vggt_mse_loss': '0.2544', 'vggt_cos_loss': '0.01993', 'pidinet_loss': '0.2228', 'siglip_loss': '0.4189', 'epoch': '0.3217'} + 99%|███████████████████████████████▊| 8942/9000 [7:50:32<02:58, 3.08s/it][Dataset] cur_step=8943 phase=D_mixed_covt +[Dataset] cur_step=8943 phase=D_mixed_covt +[Dataset] cur_step=8943 phase=D_mixed_covt +[Dataset] cur_step=8943 phase=D_mixed_covt +[Dataset] cur_step=8943 phase=D_mixed_covt +[Dataset] cur_step=8943 phase=D_mixed_covt + 99%|███████████████████████████████▊| 8943/9000 [7:50:33<02:57, 3.12s/it][Dataset] cur_step=8943 phase=D_mixed_covt +[Dataset] cur_step=8943 phase=D_mixed_covt + {'loss': '3.442', 'grad_norm': '5.408', 'learning_rate': '5.483e-09', 'epoch': '0.3217'} + 99%|███████████████████████████████▊| 8943/9000 [7:50:33<02:57, 3.12s/it] {'lm_loss': '0.7891', 'visual_loss': '2.497', 'seg_loss': '0.7499', 'dino_loss': '0.9014', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0', 'siglip_loss': '0.8452', 'epoch': '0.3217'} + 99%|███████████████████████████████▊| 8943/9000 [7:50:33<02:57, 3.12s/it][Dataset] cur_step=8944 phase=D_mixed_covt +[Dataset] cur_step=8944 phase=D_mixed_covt +[Dataset] cur_step=8944 phase=D_mixed_covt +[Dataset] cur_step=8944 phase=D_mixed_covt[Dataset] cur_step=8944 phase=D_mixed_covt 99%|███████████████████████████████▊| 8944/9000 [7:50:34<02:27, 2.64s/it] + +[Dataset] cur_step=8944 phase=D_mixed_covt +[Dataset] cur_step=8944 phase=D_mixed_covt +[Dataset] cur_step=8944 phase=D_mixed_covt + {'loss': '3.059', 'grad_norm': '2.587', 'learning_rate': '5.292e-09', 'epoch': '0.3218'} + 99%|███████████████████████████████▊| 8944/9000 [7:50:34<02:27, 2.64s/it] {'lm_loss': '1.036', 'visual_loss': '2.653', 'seg_loss': '0.7879', 'dino_loss': '0.8792', 'depth_loss': '0.1939', 'vggt_mse_loss': '0.1926', 'vggt_cos_loss': '0.01295', 'pidinet_loss': '0.2764', 'siglip_loss': '0.5155', 'epoch': '0.3218'} + 99%|███████████████████████████████▊| 8944/9000 [7:50:36<02:27, 2.64s/it][Dataset] cur_step=8945 phase=D_mixed_covt +[Dataset] cur_step=8945 phase=D_mixed_covt[Dataset] cur_step=8945 phase=D_mixed_covt + +[Dataset] cur_step=8945 phase=D_mixed_covt + 99%|███████████████████████████████▊| 8945/9000 [7:50:37<02:25, 2.64s/it][Dataset] cur_step=8945 phase=D_mixed_covt +[Dataset] cur_step=8945 phase=D_mixed_covt +[Dataset] cur_step=8945 phase=D_mixed_covt +[Dataset] cur_step=8945 phase=D_mixed_covt + {'loss': '3.292', 'grad_norm': '13.67', 'learning_rate': '5.105e-09', 'epoch': '0.3218'} + 99%|███████████████████████████████▊| 8945/9000 [7:50:37<02:25, 2.64s/it] {'lm_loss': '1.086', 'visual_loss': '2.556', 'seg_loss': '0.7173', 'dino_loss': '0.9172', 'depth_loss': '0.217', 'vggt_mse_loss': '0.2156', 'vggt_cos_loss': '0.01399', 'pidinet_loss': '0', 'siglip_loss': '0.7044', 'epoch': '0.3218'} + 99%|███████████████████████████████▊| 8945/9000 [7:50:39<02:25, 2.64s/it][Dataset] cur_step=8946 phase=D_mixed_covt +[Dataset] cur_step=8946 phase=D_mixed_covt +[Dataset] cur_step=8946 phase=D_mixed_covt[Dataset] cur_step=8946 phase=D_mixed_covt + + 99%|███████████████████████████████▊| 8946/9000 [7:50:40<02:30, 2.78s/it][Dataset] cur_step=8946 phase=D_mixed_covt +[Dataset] cur_step=8946 phase=D_mixed_covt +[Dataset] cur_step=8946 phase=D_mixed_covt +[Dataset] cur_step=8946 phase=D_mixed_covt + {'loss': '3.334', 'grad_norm': '2.813', 'learning_rate': '4.921e-09', 'epoch': '0.3218'} + 99%|███████████████████████████████▊| 8946/9000 [7:50:40<02:30, 2.78s/it] {'lm_loss': '1.169', 'visual_loss': '2.786', 'seg_loss': '0.6217', 'dino_loss': '0.9267', 'depth_loss': '0.1265', 'vggt_mse_loss': '0.1255', 'vggt_cos_loss': '0.01011', 'pidinet_loss': '0.2218', 'siglip_loss': '0.8895', 'epoch': '0.3218'} + 99%|███████████████████████████████▊| 8946/9000 [7:50:42<02:30, 2.78s/it][Dataset] cur_step=8947 phase=D_mixed_covt +[Dataset] cur_step=8947 phase=D_mixed_covt +[Dataset] cur_step=8947 phase=D_mixed_covt +[Dataset] cur_step=8947 phase=D_mixed_covt +[Dataset] cur_step=8947 phase=D_mixed_covt +[Dataset] cur_step=8947 phase=D_mixed_covt[Dataset] cur_step=8947 phase=D_mixed_covt + + 99%|███████████████████████████████▊| 8947/9000 [7:50:43<02:25, 2.75s/it][Dataset] cur_step=8947 phase=D_mixed_covt + {'loss': '3.275', 'grad_norm': '3.188', 'learning_rate': '4.74e-09', 'epoch': '0.3219'} + 99%|███████████████████████████████▊| 8947/9000 [7:50:43<02:25, 2.75s/it] {'lm_loss': '0.5743', 'visual_loss': '2.728', 'seg_loss': '0.612', 'dino_loss': '0.963', 'depth_loss': '0.2013', 'vggt_mse_loss': '0.2', 'vggt_cos_loss': '0.01308', 'pidinet_loss': '0.2678', 'siglip_loss': '0.6841', 'epoch': '0.3219'} + 99%|███████████████████████████████▊| 8947/9000 [7:50:45<02:25, 2.75s/it][Dataset] cur_step=8948 phase=D_mixed_covt +[Dataset] cur_step=8948 phase=D_mixed_covt +[Dataset] cur_step=8948 phase=D_mixed_covt +[Dataset] cur_step=8948 phase=D_mixed_covt[Dataset] cur_step=8948 phase=D_mixed_covt + +[Dataset] cur_step=8948 phase=D_mixed_covt + 99%|███████████████████████████████▊| 8948/9000 [7:50:46<02:31, 2.91s/it][Dataset] cur_step=8948 phase=D_mixed_covt[Dataset] cur_step=8948 phase=D_mixed_covt + + {'loss': '3.119', 'grad_norm': '6.829', 'learning_rate': '4.563e-09', 'epoch': '0.3219'} + 99%|███████████████████████████████▊| 8948/9000 [7:50:46<02:31, 2.91s/it] {'lm_loss': '0.383', 'visual_loss': '3.035', 'seg_loss': '0.8943', 'dino_loss': '0.9229', 'depth_loss': '0.3362', 'vggt_mse_loss': '0.3334', 'vggt_cos_loss': '0.02794', 'pidinet_loss': '0.2754', 'siglip_loss': '0.6063', 'epoch': '0.3219'} + 99%|███████████████████████████████▊| 8948/9000 [7:50:47<02:31, 2.91s/it][Dataset] cur_step=8949 phase=D_mixed_covt +[Dataset] cur_step=8949 phase=D_mixed_covt[Dataset] cur_step=8949 phase=D_mixed_covt + +[Dataset] cur_step=8949 phase=D_mixed_covt +[Dataset] cur_step=8949 phase=D_mixed_covt +[Dataset] cur_step=8949 phase=D_mixed_covt +[Dataset] cur_step=8949 phase=D_mixed_covt + 99%|███████████████████████████████▊| 8949/9000 [7:50:49<02:25, 2.85s/it][Dataset] cur_step=8949 phase=D_mixed_covt + {'loss': '3.385', 'grad_norm': '3.755', 'learning_rate': '4.389e-09', 'epoch': '0.3219'} + 99%|███████████████████████████████▊| 8949/9000 [7:50:49<02:25, 2.85s/it] {'lm_loss': '0.6548', 'visual_loss': '3.031', 'seg_loss': '0.7978', 'dino_loss': '0.8945', 'depth_loss': '0.2071', 'vggt_mse_loss': '0.2053', 'vggt_cos_loss': '0.01787', 'pidinet_loss': '0.2423', 'siglip_loss': '0.8892', 'epoch': '0.3219'} + 99%|███████████████████████████████▊| 8949/9000 [7:50:52<02:25, 2.85s/it][Dataset] cur_step=8950 phase=D_mixed_covt +[Dataset] cur_step=8950 phase=D_mixed_covt +[Dataset] cur_step=8950 phase=D_mixed_covt +[Dataset] cur_step=8950 phase=D_mixed_covt +[Dataset] cur_step=8950 phase=D_mixed_covt[Dataset] cur_step=8950 phase=D_mixed_covt + + 99%|███████████████████████████████▊| 8950/9000 [7:50:52<02:35, 3.11s/it][Dataset] cur_step=8950 phase=D_mixed_covt +[Dataset] cur_step=8950 phase=D_mixed_covt + {'loss': '3.111', 'grad_norm': '2.724', 'learning_rate': '4.219e-09', 'epoch': '0.322'} + 99%|███████████████████████████████▊| 8950/9000 [7:50:52<02:35, 3.11s/it] {'lm_loss': '0.5304', 'visual_loss': '2.579', 'seg_loss': '0.7102', 'dino_loss': '0.9293', 'depth_loss': '0.2086', 'vggt_mse_loss': '0.207', 'vggt_cos_loss': '0.01611', 'pidinet_loss': '0.2099', 'siglip_loss': '0.5215', 'epoch': '0.322'} + 99%|███████████████████████████████▊| 8950/9000 [7:50:54<02:35, 3.11s/it][Dataset] cur_step=8951 phase=D_mixed_covt +[Dataset] cur_step=8951 phase=D_mixed_covt +[Dataset] cur_step=8951 phase=D_mixed_covt +[Dataset] cur_step=8951 phase=D_mixed_covt +[Dataset] cur_step=8951 phase=D_mixed_covt + 99%|███████████████████████████████▊| 8951/9000 [7:50:55<02:24, 2.94s/it][Dataset] cur_step=8951 phase=D_mixed_covt +[Dataset] cur_step=8951 phase=D_mixed_covt +[Dataset] cur_step=8951 phase=D_mixed_covt + {'loss': '3.107', 'grad_norm': '2.743', 'learning_rate': '4.052e-09', 'epoch': '0.322'} + 99%|███████████████████████████████▊| 8951/9000 [7:50:55<02:24, 2.94s/it] {'lm_loss': '0.6377', 'visual_loss': '2.579', 'seg_loss': '0.8404', 'dino_loss': '0.8732', 'depth_loss': '0.2152', 'vggt_mse_loss': '0.2137', 'vggt_cos_loss': '0.01522', 'pidinet_loss': '0.137', 'siglip_loss': '0.5129', 'epoch': '0.322'} + 99%|███████████████████████████████▊| 8951/9000 [7:50:57<02:24, 2.94s/it][Dataset] cur_step=8952 phase=D_mixed_covt +[Dataset] cur_step=8952 phase=D_mixed_covt[Dataset] cur_step=8952 phase=D_mixed_covt[Dataset] cur_step=8952 phase=D_mixed_covt + + +[Dataset] cur_step=8952 phase=D_mixed_covt +[Dataset] cur_step=8952 phase=D_mixed_covt[Dataset] cur_step=8952 phase=D_mixed_covt + +[Dataset] cur_step=8952 phase=D_mixed_covt 99%|███████████████████████████████▊| 8952/9000 [7:50:57<02:16, 2.84s/it] + {'loss': '3.349', 'grad_norm': '3.465', 'learning_rate': '3.888e-09', 'epoch': '0.322'} + 99%|███████████████████████████████▊| 8952/9000 [7:50:57<02:16, 2.84s/it] {'lm_loss': '0.6701', 'visual_loss': '2.405', 'seg_loss': '0.622', 'dino_loss': '0.8959', 'depth_loss': '0.1692', 'vggt_mse_loss': '0.1682', 'vggt_cos_loss': '0.01005', 'pidinet_loss': '0.177', 'siglip_loss': '0.5411', 'epoch': '0.322'} + 99%|███████████████████████████████▊| 8952/9000 [7:51:00<02:16, 2.84s/it][Dataset] cur_step=8953 phase=D_mixed_covt +[Dataset] cur_step=8953 phase=D_mixed_covt +[Dataset] cur_step=8953 phase=D_mixed_covt +[Dataset] cur_step=8953 phase=D_mixed_covt +[Dataset] cur_step=8953 phase=D_mixed_covt + 99%|███████████████████████████████▊| 8953/9000 [7:51:00<02:13, 2.83s/it][Dataset] cur_step=8953 phase=D_mixed_covt +[Dataset] cur_step=8953 phase=D_mixed_covt +[Dataset] cur_step=8953 phase=D_mixed_covt + {'loss': '3.163', 'grad_norm': '3.585', 'learning_rate': '3.728e-09', 'epoch': '0.3221'} + 99%|███████████████████████████████▊| 8953/9000 [7:51:00<02:13, 2.83s/it] {'lm_loss': '0.9137', 'visual_loss': '2.88', 'seg_loss': '0.9074', 'dino_loss': '0.916', 'depth_loss': '0.3564', 'vggt_mse_loss': '0.3535', 'vggt_cos_loss': '0.0282', 'pidinet_loss': '0.2615', 'siglip_loss': '0.4388', 'epoch': '0.3221'} + 99%|███████████████████████████████▊| 8953/9000 [7:51:02<02:13, 2.83s/it][Dataset] cur_step=8954 phase=D_mixed_covt[Dataset] cur_step=8954 phase=D_mixed_covt + +[Dataset] cur_step=8954 phase=D_mixed_covt[Dataset] cur_step=8954 phase=D_mixed_covt + + 99%|███████████████████████████████▊| 8954/9000 [7:51:03<02:05, 2.72s/it][Dataset] cur_step=8954 phase=D_mixed_covt +[Dataset] cur_step=8954 phase=D_mixed_covt +[Dataset] cur_step=8954 phase=D_mixed_covt +[Dataset] cur_step=8954 phase=D_mixed_covt + {'loss': '3.388', 'grad_norm': '4.893', 'learning_rate': '3.571e-09', 'epoch': '0.3221'} + 99%|███████████████████████████████▊| 8954/9000 [7:51:03<02:05, 2.72s/it] {'lm_loss': '1.023', 'visual_loss': '1.823', 'seg_loss': '0.7779', 'dino_loss': '0.922', 'depth_loss': '0.1232', 'vggt_mse_loss': '0.1224', 'vggt_cos_loss': '0.008572', 'pidinet_loss': '0', 'siglip_loss': '0', 'epoch': '0.3221'} + 99%|███████████████████████████████▊| 8954/9000 [7:51:05<02:05, 2.72s/it][Dataset] cur_step=8955 phase=D_mixed_covt +[Dataset] cur_step=8955 phase=D_mixed_covt +[Dataset] cur_step=8955 phase=D_mixed_covt +[Dataset] cur_step=8955 phase=D_mixed_covt + 100%|███████████████████████████████▊| 8955/9000 [7:51:05<02:01, 2.70s/it][Dataset] cur_step=8955 phase=D_mixed_covt[Dataset] cur_step=8955 phase=D_mixed_covt + +[Dataset] cur_step=8955 phase=D_mixed_covt +[Dataset] cur_step=8955 phase=D_mixed_covt + {'loss': '2.53', 'grad_norm': '2.761', 'learning_rate': '3.417e-09', 'epoch': '0.3222'} + 100%|███████████████████████████████▊| 8955/9000 [7:51:05<02:01, 2.70s/it] {'lm_loss': '0.5859', 'visual_loss': '2.752', 'seg_loss': '0.5816', 'dino_loss': '0.9387', 'depth_loss': '0.2081', 'vggt_mse_loss': '0.2069', 'vggt_cos_loss': '0.01153', 'pidinet_loss': '0.3538', 'siglip_loss': '0.67', 'epoch': '0.3222'} + 100%|███████████████████████████████▊| 8955/9000 [7:51:08<02:01, 2.70s/it][Dataset] cur_step=8956 phase=D_mixed_covt[Dataset] cur_step=8956 phase=D_mixed_covt +[Dataset] cur_step=8956 phase=D_mixed_covt + + 100%|███████████████████████████████▊| 8956/9000 [7:51:08<01:57, 2.68s/it][Dataset] cur_step=8956 phase=D_mixed_covt +[Dataset] cur_step=8956 phase=D_mixed_covt[Dataset] cur_step=8956 phase=D_mixed_covt + +[Dataset] cur_step=8956 phase=D_mixed_covt +[Dataset] cur_step=8956 phase=D_mixed_covt + {'loss': '3.371', 'grad_norm': '2.751', 'learning_rate': '3.267e-09', 'epoch': '0.3222'} + 100%|███████████████████████████████▊| 8956/9000 [7:51:08<01:57, 2.68s/it] {'lm_loss': '0.07429', 'visual_loss': '2.463', 'seg_loss': '0.6678', 'dino_loss': '0.9285', 'depth_loss': '0.2376', 'vggt_mse_loss': '0.2358', 'vggt_cos_loss': '0.01848', 'pidinet_loss': '0.2654', 'siglip_loss': '0.3635', 'epoch': '0.3222'} + 100%|███████████████████████████████▊| 8956/9000 [7:51:11<01:57, 2.68s/it][Dataset] cur_step=8957 phase=D_mixed_covt +[Dataset] cur_step=8957 phase=D_mixed_covt +[Dataset] cur_step=8957 phase=D_mixed_covt[Dataset] cur_step=8957 phase=D_mixed_covt +[Dataset] cur_step=8957 phase=D_mixed_covt + + 100%|███████████████████████████████▊| 8957/9000 [7:51:11<02:06, 2.93s/it][Dataset] cur_step=8957 phase=D_mixed_covt +[Dataset] cur_step=8957 phase=D_mixed_covt +[Dataset] cur_step=8957 phase=D_mixed_covt + {'loss': '3.168', 'grad_norm': '5.436', 'learning_rate': '3.12e-09', 'epoch': '0.3222'} + 100%|███████████████████████████████▊| 8957/9000 [7:51:11<02:06, 2.93s/it] {'lm_loss': '0.5363', 'visual_loss': '2.339', 'seg_loss': '0.6273', 'dino_loss': '0.8959', 'depth_loss': '0.2545', 'vggt_mse_loss': '0.2523', 'vggt_cos_loss': '0.02166', 'pidinet_loss': '0.2079', 'siglip_loss': '0.3536', 'epoch': '0.3222'} + 100%|███████████████████████████████▊| 8957/9000 [7:51:14<02:06, 2.93s/it][Dataset] cur_step=8958 phase=D_mixed_covt +[Dataset] cur_step=8958 phase=D_mixed_covt + 100%|███████████████████████████████▊| 8958/9000 [7:51:15<02:10, 3.10s/it][Dataset] cur_step=8958 phase=D_mixed_covt[Dataset] cur_step=8958 phase=D_mixed_covt + +[Dataset] cur_step=8958 phase=D_mixed_covt +[Dataset] cur_step=8958 phase=D_mixed_covt +[Dataset] cur_step=8958 phase=D_mixed_covt +[Dataset] cur_step=8958 phase=D_mixed_covt + {'loss': '3.294', 'grad_norm': '25.11', 'learning_rate': '2.977e-09', 'epoch': '0.3223'} + 100%|███████████████████████████████▊| 8958/9000 [7:51:15<02:10, 3.10s/it] {'lm_loss': '0.8901', 'visual_loss': '2.958', 'seg_loss': '0.6851', 'dino_loss': '0.9224', 'depth_loss': '0.299', 'vggt_mse_loss': '0.2967', 'vggt_cos_loss': '0.02286', 'pidinet_loss': '0.2218', 'siglip_loss': '0.8294', 'epoch': '0.3223'} + 100%|███████████████████████████████▊| 8958/9000 [7:51:18<02:10, 3.10s/it][Dataset] cur_step=8959 phase=D_mixed_covt[Dataset] cur_step=8959 phase=D_mixed_covt +[Dataset] cur_step=8959 phase=D_mixed_covt + +[Dataset] cur_step=8959 phase=D_mixed_covt[Dataset] cur_step=8959 phase=D_mixed_covt + +[Dataset] cur_step=8959 phase=D_mixed_covt +[Dataset] cur_step=8959 phase=D_mixed_covt +[Dataset] cur_step=8959 phase=D_mixed_covt + 100%|███████████████████████████████▊| 8959/9000 [7:51:18<02:10, 3.18s/it] {'loss': '3.13', 'grad_norm': '2.004', 'learning_rate': '2.837e-09', 'epoch': '0.3223'} + 100%|███████████████████████████████▊| 8959/9000 [7:51:18<02:10, 3.18s/it] {'lm_loss': '0.06409', 'visual_loss': '2.966', 'seg_loss': '0.766', 'dino_loss': '0.9299', 'depth_loss': '0.4505', 'vggt_mse_loss': '0.4464', 'vggt_cos_loss': '0.04016', 'pidinet_loss': '0.2026', 'siglip_loss': '0.6172', 'epoch': '0.3223'} + 100%|███████████████████████████████▊| 8959/9000 [7:51:21<02:10, 3.18s/it][Dataset] cur_step=8960 phase=D_mixed_covt +[Dataset] cur_step=8960 phase=D_mixed_covt +[Dataset] cur_step=8960 phase=D_mixed_covt +[Dataset] cur_step=8960 phase=D_mixed_covt +[Dataset] cur_step=8960 phase=D_mixed_covt[Dataset] cur_step=8960 phase=D_mixed_covt + +[Dataset] cur_step=8960 phase=D_mixed_covt 100%|███████████████████████████████▊| 8960/9000 [7:51:22<02:09, 3.23s/it] +[Dataset] cur_step=8960 phase=D_mixed_covt + {'loss': '3.234', 'grad_norm': '2.312', 'learning_rate': '2.7e-09', 'epoch': '0.3223'} + 100%|███████████████████████████████▊| 8960/9000 [7:51:22<02:09, 3.23s/it] {'lm_loss': '0.7406', 'visual_loss': '2.819', 'seg_loss': '0.7864', 'dino_loss': '0.9139', 'depth_loss': '0.2404', 'vggt_mse_loss': '0.2386', 'vggt_cos_loss': '0.01829', 'pidinet_loss': '0.2312', 'siglip_loss': '0.6472', 'epoch': '0.3223'} + 100%|███████████████████████████████▊| 8960/9000 [7:51:24<02:09, 3.23s/it][Dataset] cur_step=8961 phase=D_mixed_covt +[Dataset] cur_step=8961 phase=D_mixed_covt +[Dataset] cur_step=8961 phase=D_mixed_covt +[Dataset] cur_step=8961 phase=D_mixed_covt + 100%|███████████████████████████████▊| 8961/9000 [7:51:24<02:00, 3.10s/it][Dataset] cur_step=8961 phase=D_mixed_covt[Dataset] cur_step=8961 phase=D_mixed_covt + +[Dataset] cur_step=8961 phase=D_mixed_covt[Dataset] cur_step=8961 phase=D_mixed_covt + + {'loss': '3.181', 'grad_norm': '1.936', 'learning_rate': '2.567e-09', 'epoch': '0.3224'} + 100%|███████████████████████████████▊| 8961/9000 [7:51:24<02:00, 3.10s/it] {'lm_loss': '0.5532', 'visual_loss': '1.231', 'seg_loss': '0.8586', 'dino_loss': '0', 'depth_loss': '0.183', 'vggt_mse_loss': '0.1819', 'vggt_cos_loss': '0.01085', 'pidinet_loss': '0.1895', 'siglip_loss': '0', 'epoch': '0.3224'} + 100%|███████████████████████████████▊| 8961/9000 [7:51:26<02:00, 3.10s/it][Dataset] cur_step=8962 phase=D_mixed_covt +[Dataset] cur_step=8962 phase=D_mixed_covt +[Dataset] cur_step=8962 phase=D_mixed_covt + 100%|███████████████████████████████▊| 8962/9000 [7:51:27<01:50, 2.91s/it][Dataset] cur_step=8962 phase=D_mixed_covt +[Dataset] cur_step=8962 phase=D_mixed_covt +[Dataset] cur_step=8962 phase=D_mixed_covt +[Dataset] cur_step=8962 phase=D_mixed_covt +[Dataset] cur_step=8962 phase=D_mixed_covt + {'loss': '1.997', 'grad_norm': '5.408', 'learning_rate': '2.437e-09', 'epoch': '0.3224'} + 100%|███████████████████████████████▊| 8962/9000 [7:51:27<01:50, 2.91s/it] {'lm_loss': '1.113', 'visual_loss': '2.839', 'seg_loss': '0.8133', 'dino_loss': '0.9062', 'depth_loss': '0.234', 'vggt_mse_loss': '0.2324', 'vggt_cos_loss': '0.01577', 'pidinet_loss': '0.3062', 'siglip_loss': '0.5795', 'epoch': '0.3224'} + 100%|███████████████████████████████▊| 8962/9000 [7:51:29<01:50, 2.91s/it][Dataset] cur_step=8963 phase=D_mixed_covt +[Dataset] cur_step=8963 phase=D_mixed_covt[Dataset] cur_step=8963 phase=D_mixed_covt + +[Dataset] cur_step=8963 phase=D_mixed_covt[Dataset] cur_step=8963 phase=D_mixed_covt + +[Dataset] cur_step=8963 phase=D_mixed_covt 100%|███████████████████████████████▊| 8963/9000 [7:51:29<01:43, 2.79s/it] +[Dataset] cur_step=8963 phase=D_mixed_covt +[Dataset] cur_step=8963 phase=D_mixed_covt + {'loss': '3.248', 'grad_norm': '3.989', 'learning_rate': '2.31e-09', 'epoch': '0.3224'} + 100%|███████████████████████████████▊| 8963/9000 [7:51:29<01:43, 2.79s/it] {'lm_loss': '0.7092', 'visual_loss': '2.608', 'seg_loss': '0.8695', 'dino_loss': '0.9074', 'depth_loss': '0.2299', 'vggt_mse_loss': '0.2282', 'vggt_cos_loss': '0.01696', 'pidinet_loss': '0.251', 'siglip_loss': '0.3505', 'epoch': '0.3224'} + 100%|███████████████████████████████▊| 8963/9000 [7:51:31<01:43, 2.79s/it][Dataset] cur_step=8964 phase=D_mixed_covt +[Dataset] cur_step=8964 phase=D_mixed_covt +[Dataset] cur_step=8964 phase=D_mixed_covt[Dataset] cur_step=8964 phase=D_mixed_covt + + 100%|███████████████████████████████▊| 8964/9000 [7:51:32<01:36, 2.68s/it][Dataset] cur_step=8964 phase=D_mixed_covt +[Dataset] cur_step=8964 phase=D_mixed_covt +[Dataset] cur_step=8964 phase=D_mixed_covt +[Dataset] cur_step=8964 phase=D_mixed_covt + {'loss': '3.257', 'grad_norm': '2.868', 'learning_rate': '2.187e-09', 'epoch': '0.3225'} + 100%|███████████████████████████████▊| 8964/9000 [7:51:32<01:36, 2.68s/it] {'lm_loss': '0.5084', 'visual_loss': '3.242', 'seg_loss': '0.9195', 'dino_loss': '0.9457', 'depth_loss': '0.6141', 'vggt_mse_loss': '0.6087', 'vggt_cos_loss': '0.05432', 'pidinet_loss': '0.2614', 'siglip_loss': '0.5013', 'epoch': '0.3225'} + 100%|███████████████████████████████▊| 8964/9000 [7:51:33<01:36, 2.68s/it][Dataset] cur_step=8965 phase=D_mixed_covt +[Dataset] cur_step=8965 phase=D_mixed_covt[Dataset] cur_step=8965 phase=D_mixed_covt +[Dataset] cur_step=8965 phase=D_mixed_covt +[Dataset] cur_step=8965 phase=D_mixed_covt +[Dataset] cur_step=8965 phase=D_mixed_covt + +[Dataset] cur_step=8965 phase=D_mixed_covt + 100%|███████████████████████████████▉| 8965/9000 [7:51:34<01:27, 2.50s/it][Dataset] cur_step=8965 phase=D_mixed_covt + {'loss': '3.756', 'grad_norm': '5.429', 'learning_rate': '2.067e-09', 'epoch': '0.3225'} + 100%|███████████████████████████████▉| 8965/9000 [7:51:34<01:27, 2.50s/it] {'lm_loss': '0.3332', 'visual_loss': '2.956', 'seg_loss': '0.8404', 'dino_loss': '0.917', 'depth_loss': '0.2786', 'vggt_mse_loss': '0.2767', 'vggt_cos_loss': '0.01901', 'pidinet_loss': '0.2799', 'siglip_loss': '0.6406', 'epoch': '0.3225'} + 100%|███████████████████████████████▉| 8965/9000 [7:51:36<01:27, 2.50s/it][Dataset] cur_step=8966 phase=D_mixed_covt +[Dataset] cur_step=8966 phase=D_mixed_covt +[Dataset] cur_step=8966 phase=D_mixed_covt + 100%|███████████████████████████████▉| 8966/9000 [7:51:37<01:27, 2.57s/it][Dataset] cur_step=8966 phase=D_mixed_covt +[Dataset] cur_step=8966 phase=D_mixed_covt +[Dataset] cur_step=8966 phase=D_mixed_covt +[Dataset] cur_step=8966 phase=D_mixed_covt +[Dataset] cur_step=8966 phase=D_mixed_covt + {'loss': '3.226', 'grad_norm': '4.244', 'learning_rate': '1.951e-09', 'epoch': '0.3226'} + 100%|███████████████████████████████▉| 8966/9000 [7:51:37<01:27, 2.57s/it] {'lm_loss': '0.5905', 'visual_loss': '2.521', 'seg_loss': '0.698', 'dino_loss': '0.9284', 'depth_loss': '0.1983', 'vggt_mse_loss': '0.1969', 'vggt_cos_loss': '0.01377', 'pidinet_loss': '0.1367', 'siglip_loss': '0.5592', 'epoch': '0.3226'} + 100%|███████████████████████████████▉| 8966/9000 [7:51:39<01:27, 2.57s/it][Dataset] cur_step=8967 phase=D_mixed_covt + 100%|███████████████████████████████▉| 8967/9000 [7:51:39<01:27, 2.64s/it][Dataset] cur_step=8967 phase=D_mixed_covt +[Dataset] cur_step=8967 phase=D_mixed_covt +[Dataset] cur_step=8967 phase=D_mixed_covt +[Dataset] cur_step=8967 phase=D_mixed_covt +[Dataset] cur_step=8967 phase=D_mixed_covt +[Dataset] cur_step=8967 phase=D_mixed_covt +[Dataset] cur_step=8967 phase=D_mixed_covt + {'loss': '3.256', 'grad_norm': '2.823', 'learning_rate': '1.838e-09', 'epoch': '0.3226'} + 100%|███████████████████████████████▉| 8967/9000 [7:51:39<01:27, 2.64s/it] {'lm_loss': '1.095', 'visual_loss': '2.548', 'seg_loss': '0.7746', 'dino_loss': '0.9031', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2734', 'siglip_loss': '0.5973', 'epoch': '0.3226'} + 100%|███████████████████████████████▉| 8967/9000 [7:51:41<01:27, 2.64s/it][Dataset] cur_step=8968 phase=D_mixed_covt +[Dataset] cur_step=8968 phase=D_mixed_covt +[Dataset] cur_step=8968 phase=D_mixed_covt +[Dataset] cur_step=8968 phase=D_mixed_covt + 100%|███████████████████████████████▉| 8968/9000 [7:51:44<01:38, 3.07s/it][Dataset] cur_step=8968 phase=D_mixed_covt +[Dataset] cur_step=8968 phase=D_mixed_covt +[Dataset] cur_step=8968 phase=D_mixed_covt +[Dataset] cur_step=8968 phase=D_mixed_covt + {'loss': '3.477', 'grad_norm': '4.049', 'learning_rate': '1.728e-09', 'epoch': '0.3226'} + 100%|███████████████████████████████▉| 8968/9000 [7:51:44<01:38, 3.07s/it] {'lm_loss': '0.5813', 'visual_loss': '2.766', 'seg_loss': '0.8103', 'dino_loss': '0.9404', 'depth_loss': '0.1679', 'vggt_mse_loss': '0.1668', 'vggt_cos_loss': '0.01131', 'pidinet_loss': '0.2707', 'siglip_loss': '0.5763', 'epoch': '0.3226'} + 100%|███████████████████████████████▉| 8968/9000 [7:51:46<01:38, 3.07s/it][Dataset] cur_step=8969 phase=D_mixed_covt +[Dataset] cur_step=8969 phase=D_mixed_covt +[Dataset] cur_step=8969 phase=D_mixed_covt +[Dataset] cur_step=8969 phase=D_mixed_covt +[Dataset] cur_step=8969 phase=D_mixed_covt +[Dataset] cur_step=8969 phase=D_mixed_covt 100%|███████████████████████████████▉| 8969/9000 [7:51:46<01:29, 2.87s/it] +[Dataset] cur_step=8969 phase=D_mixed_covt +[Dataset] cur_step=8969 phase=D_mixed_covt + {'loss': '3.219', 'grad_norm': '3.516', 'learning_rate': '1.622e-09', 'epoch': '0.3227'} + 100%|███████████████████████████████▉| 8969/9000 [7:51:46<01:29, 2.87s/it] {'lm_loss': '0.6314', 'visual_loss': '2.482', 'seg_loss': '0.6516', 'dino_loss': '0.8862', 'depth_loss': '0.1681', 'vggt_mse_loss': '0.167', 'vggt_cos_loss': '0.01064', 'pidinet_loss': '0.2314', 'siglip_loss': '0.5442', 'epoch': '0.3227'} + 100%|███████████████████████████████▉| 8969/9000 [7:51:48<01:29, 2.87s/it][Dataset] cur_step=8970 phase=D_mixed_covt +[Dataset] cur_step=8970 phase=D_mixed_covt + 100%|███████████████████████████████▉| 8970/9000 [7:51:49<01:24, 2.81s/it][Dataset] cur_step=8970 phase=D_mixed_covt +[Dataset] cur_step=8970 phase=D_mixed_covt +[Dataset] cur_step=8970 phase=D_mixed_covt +[Dataset] cur_step=8970 phase=D_mixed_covt +[Dataset] cur_step=8970 phase=D_mixed_covt +[Dataset] cur_step=8970 phase=D_mixed_covt + {'loss': '3.338', 'grad_norm': '5.087', 'learning_rate': '1.519e-09', 'epoch': '0.3227'} + 100%|███████████████████████████████▉| 8970/9000 [7:51:49<01:24, 2.81s/it] {'lm_loss': '0.7566', 'visual_loss': '2.917', 'seg_loss': '0.7685', 'dino_loss': '0.8717', 'depth_loss': '0.4526', 'vggt_mse_loss': '0.4507', 'vggt_cos_loss': '0.0189', 'pidinet_loss': '0.2629', 'siglip_loss': '0.5616', 'epoch': '0.3227'} + 100%|███████████████████████████████▉| 8970/9000 [7:51:51<01:24, 2.81s/it][Dataset] cur_step=8971 phase=D_mixed_covt +[Dataset] cur_step=8971 phase=D_mixed_covt + 100%|███████████████████████████████▉| 8971/9000 [7:51:51<01:20, 2.76s/it][Dataset] cur_step=8971 phase=D_mixed_covt +[Dataset] cur_step=8971 phase=D_mixed_covt +[Dataset] cur_step=8971 phase=D_mixed_covt[Dataset] cur_step=8971 phase=D_mixed_covt + +[Dataset] cur_step=8971 phase=D_mixed_covt +[Dataset] cur_step=8971 phase=D_mixed_covt + {'loss': '3.222', 'grad_norm': '9.534', 'learning_rate': '1.419e-09', 'epoch': '0.3227'} + 100%|███████████████████████████████▉| 8971/9000 [7:51:51<01:20, 2.76s/it] {'lm_loss': '0.745', 'visual_loss': '2.239', 'seg_loss': '0.6111', 'dino_loss': '0.894', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2827', 'siglip_loss': '0.4516', 'epoch': '0.3227'} + 100%|███████████████████████████████▉| 8971/9000 [7:51:52<01:20, 2.76s/it][Dataset] cur_step=8972 phase=D_mixed_covt +[Dataset] cur_step=8972 phase=D_mixed_covt +[Dataset] cur_step=8972 phase=D_mixed_covt +[Dataset] cur_step=8972 phase=D_mixed_covt +[Dataset] cur_step=8972 phase=D_mixed_covt +[Dataset] cur_step=8972 phase=D_mixed_covt 100%|███████████████████████████████▉| 8972/9000 [7:51:53<01:08, 2.45s/it] +[Dataset] cur_step=8972 phase=D_mixed_covt[Dataset] cur_step=8972 phase=D_mixed_covt + + {'loss': '3.185', 'grad_norm': '4.144', 'learning_rate': '1.323e-09', 'epoch': '0.3228'} + 100%|███████████████████████████████▉| 8972/9000 [7:51:53<01:08, 2.45s/it] {'lm_loss': '0.1079', 'visual_loss': '2.634', 'seg_loss': '0.7634', 'dino_loss': '0.8997', 'depth_loss': '0.2695', 'vggt_mse_loss': '0.2673', 'vggt_cos_loss': '0.02251', 'pidinet_loss': '0.2327', 'siglip_loss': '0.4686', 'epoch': '0.3228'} + 100%|███████████████████████████████▉| 8972/9000 [7:51:54<01:08, 2.45s/it][Dataset] cur_step=8973 phase=D_mixed_covt +[Dataset] cur_step=8973 phase=D_mixed_covt +[Dataset] cur_step=8973 phase=D_mixed_covt +[Dataset] cur_step=8973 phase=D_mixed_covt[Dataset] cur_step=8973 phase=D_mixed_covt[Dataset] cur_step=8973 phase=D_mixed_covt + + + 100%|███████████████████████████████▉| 8973/9000 [7:51:55<01:02, 2.30s/it][Dataset] cur_step=8973 phase=D_mixed_covt +[Dataset] cur_step=8973 phase=D_mixed_covt + {'loss': '3.355', 'grad_norm': '4.617', 'learning_rate': '1.23e-09', 'epoch': '0.3228'} + 100%|███████████████████████████████▉| 8973/9000 [7:51:55<01:02, 2.30s/it] {'lm_loss': '0.7243', 'visual_loss': '2.518', 'seg_loss': '0.6148', 'dino_loss': '0.929', 'depth_loss': '0.1653', 'vggt_mse_loss': '0.1643', 'vggt_cos_loss': '0.009851', 'pidinet_loss': '0.2864', 'siglip_loss': '0.5222', 'epoch': '0.3228'} + 100%|███████████████████████████████▉| 8973/9000 [7:51:57<01:02, 2.30s/it][Dataset] cur_step=8974 phase=D_mixed_covt[Dataset] cur_step=8974 phase=D_mixed_covt + +[Dataset] cur_step=8974 phase=D_mixed_covt +[Dataset] cur_step=8974 phase=D_mixed_covt[Dataset] cur_step=8974 phase=D_mixed_covt + +[Dataset] cur_step=8974 phase=D_mixed_covt + 100%|███████████████████████████████▉| 8974/9000 [7:51:58<01:06, 2.54s/it][Dataset] cur_step=8974 phase=D_mixed_covt +[Dataset] cur_step=8974 phase=D_mixed_covt + {'loss': '3.421', 'grad_norm': '3.152', 'learning_rate': '1.141e-09', 'epoch': '0.3228'} + 100%|███████████████████████████████▉| 8974/9000 [7:51:58<01:06, 2.54s/it] {'lm_loss': '0.6135', 'visual_loss': '2.847', 'seg_loss': '0.8765', 'dino_loss': '0.8281', 'depth_loss': '0.1589', 'vggt_mse_loss': '0.1576', 'vggt_cos_loss': '0.01249', 'pidinet_loss': '0.2419', 'siglip_loss': '0.7412', 'epoch': '0.3228'} + 100%|███████████████████████████████▉| 8974/9000 [7:51:59<01:06, 2.54s/it][Dataset] cur_step=8975 phase=D_mixed_covt[Dataset] cur_step=8975 phase=D_mixed_covt + +[Dataset] cur_step=8975 phase=D_mixed_covt[Dataset] cur_step=8975 phase=D_mixed_covt[Dataset] cur_step=8975 phase=D_mixed_covt + + + 100%|███████████████████████████████▉| 8975/9000 [7:52:00<00:59, 2.36s/it][Dataset] cur_step=8975 phase=D_mixed_covt +[Dataset] cur_step=8975 phase=D_mixed_covt +[Dataset] cur_step=8975 phase=D_mixed_covt + {'loss': '3.164', 'grad_norm': '3.864', 'learning_rate': '1.055e-09', 'epoch': '0.3229'} + 100%|███████████████████████████████▉| 8975/9000 [7:52:00<00:59, 2.36s/it] {'lm_loss': '0.09143', 'visual_loss': '2.42', 'seg_loss': '0.6265', 'dino_loss': '0.9144', 'depth_loss': '0.1847', 'vggt_mse_loss': '0.1833', 'vggt_cos_loss': '0.01399', 'pidinet_loss': '0.1775', 'siglip_loss': '0.5169', 'epoch': '0.3229'} + 100%|███████████████████████████████▉| 8975/9000 [7:52:01<00:59, 2.36s/it][Dataset] cur_step=8976 phase=D_mixed_covt +[Dataset] cur_step=8976 phase=D_mixed_covt[Dataset] cur_step=8976 phase=D_mixed_covt + +[Dataset] cur_step=8976 phase=D_mixed_covt + 100%|███████████████████████████████▉| 8976/9000 [7:52:02<00:55, 2.29s/it][Dataset] cur_step=8976 phase=D_mixed_covt[Dataset] cur_step=8976 phase=D_mixed_covt + +[Dataset] cur_step=8976 phase=D_mixed_covt[Dataset] cur_step=8976 phase=D_mixed_covt + + {'loss': '3.391', 'grad_norm': '5.563', 'learning_rate': '9.721e-10', 'epoch': '0.3229'} + 100%|███████████████████████████████▉| 8976/9000 [7:52:02<00:55, 2.29s/it] {'lm_loss': '0.6531', 'visual_loss': '2.689', 'seg_loss': '0.6259', 'dino_loss': '0.921', 'depth_loss': '0.2674', 'vggt_mse_loss': '0.2653', 'vggt_cos_loss': '0.02114', 'pidinet_loss': '0.2577', 'siglip_loss': '0.6168', 'epoch': '0.3229'} + 100%|███████████████████████████████▉| 8976/9000 [7:52:08<00:55, 2.29s/it][Dataset] cur_step=8977 phase=D_mixed_covt + 100%|███████████████████████████████▉| 8977/9000 [7:52:08<01:16, 3.33s/it][Dataset] cur_step=8977 phase=D_mixed_covt +[Dataset] cur_step=8977 phase=D_mixed_covt +[Dataset] cur_step=8977 phase=D_mixed_covt +[Dataset] cur_step=8977 phase=D_mixed_covt[Dataset] cur_step=8977 phase=D_mixed_covt + +[Dataset] cur_step=8977 phase=D_mixed_covt +[Dataset] cur_step=8977 phase=D_mixed_covt + {'loss': '3.233', 'grad_norm': '2.909', 'learning_rate': '8.928e-10', 'epoch': '0.3229'} + 100%|███████████████████████████████▉| 8977/9000 [7:52:08<01:16, 3.33s/it] {'lm_loss': '0.06203', 'visual_loss': '2.476', 'seg_loss': '0.5803', 'dino_loss': '0.9102', 'depth_loss': '0.2166', 'vggt_mse_loss': '0.2147', 'vggt_cos_loss': '0.01859', 'pidinet_loss': '0.2599', 'siglip_loss': '0.5089', 'epoch': '0.3229'} + 100%|███████████████████████████████▉| 8977/9000 [7:52:10<01:16, 3.33s/it][Dataset] cur_step=8978 phase=D_mixed_covt +[Dataset] cur_step=8978 phase=D_mixed_covt +[Dataset] cur_step=8978 phase=D_mixed_covt +[Dataset] cur_step=8978 phase=D_mixed_covt +[Dataset] cur_step=8978 phase=D_mixed_covt + 100%|███████████████████████████████▉| 8978/9000 [7:52:11<01:10, 3.20s/it][Dataset] cur_step=8978 phase=D_mixed_covt +[Dataset] cur_step=8978 phase=D_mixed_covt +[Dataset] cur_step=8978 phase=D_mixed_covt + {'loss': '3.234', 'grad_norm': '2.738', 'learning_rate': '8.168e-10', 'epoch': '0.323'} + 100%|███████████████████████████████▉| 8978/9000 [7:52:11<01:10, 3.20s/it] {'lm_loss': '1.065', 'visual_loss': '2.126', 'seg_loss': '0.3686', 'dino_loss': '0.8851', 'depth_loss': '0.1797', 'vggt_mse_loss': '0.179', 'vggt_cos_loss': '0.007906', 'pidinet_loss': '0.2209', 'siglip_loss': '0.4717', 'epoch': '0.323'} + 100%|███████████████████████████████▉| 8978/9000 [7:52:13<01:10, 3.20s/it][Dataset] cur_step=8979 phase=D_mixed_covt +[Dataset] cur_step=8979 phase=D_mixed_covt +[Dataset] cur_step=8979 phase=D_mixed_covt +[Dataset] cur_step=8979 phase=D_mixed_covt[Dataset] cur_step=8979 phase=D_mixed_covt 100%|███████████████████████████████▉| 8979/9000 [7:52:13<01:03, 3.03s/it] + +[Dataset] cur_step=8979 phase=D_mixed_covt +[Dataset] cur_step=8979 phase=D_mixed_covt +[Dataset] cur_step=8979 phase=D_mixed_covt + {'loss': '3.199', 'grad_norm': '3.23', 'learning_rate': '7.442e-10', 'epoch': '0.323'} + 100%|███████████████████████████████▉| 8979/9000 [7:52:13<01:03, 3.03s/it] {'lm_loss': '0.8934', 'visual_loss': '2.746', 'seg_loss': '0.7189', 'dino_loss': '0.9194', 'depth_loss': '0.4081', 'vggt_mse_loss': '0.4046', 'vggt_cos_loss': '0.03534', 'pidinet_loss': '0.2403', 'siglip_loss': '0.4597', 'epoch': '0.323'} + 100%|███████████████████████████████▉| 8979/9000 [7:52:16<01:03, 3.03s/it][Dataset] cur_step=8980 phase=D_mixed_covt +[Dataset] cur_step=8980 phase=D_mixed_covt +[Dataset] cur_step=8980 phase=D_mixed_covt[Dataset] cur_step=8980 phase=D_mixed_covt + +[Dataset] cur_step=8980 phase=D_mixed_covt[Dataset] cur_step=8980 phase=D_mixed_covt + + 100%|███████████████████████████████▉| 8980/9000 [7:52:16<00:59, 2.96s/it][Dataset] cur_step=8980 phase=D_mixed_covt +[Dataset] cur_step=8980 phase=D_mixed_covt + {'loss': '3.304', 'grad_norm': '12.78', 'learning_rate': '6.75e-10', 'epoch': '0.3231'} + 100%|███████████████████████████████▉| 8980/9000 [7:52:16<00:59, 2.96s/it] {'lm_loss': '0.09629', 'visual_loss': '2.369', 'seg_loss': '0.7803', 'dino_loss': '0.9121', 'depth_loss': '0.2259', 'vggt_mse_loss': '0.2242', 'vggt_cos_loss': '0.01685', 'pidinet_loss': '0', 'siglip_loss': '0.4509', 'epoch': '0.3231'} + 100%|███████████████████████████████▉| 8980/9000 [7:52:17<00:59, 2.96s/it][Dataset] cur_step=8981 phase=D_mixed_covt +[Dataset] cur_step=8981 phase=D_mixed_covt[Dataset] cur_step=8981 phase=D_mixed_covt + +[Dataset] cur_step=8981 phase=D_mixed_covt +[Dataset] cur_step=8981 phase=D_mixed_covt +[Dataset] cur_step=8981 phase=D_mixed_covt +[Dataset] cur_step=8981 phase=D_mixed_covt[Dataset] cur_step=8981 phase=D_mixed_covt + + 100%|███████████████████████████████▉| 8981/9000 [7:52:18<00:49, 2.63s/it] {'loss': '3.14', 'grad_norm': '2.487', 'learning_rate': '6.092e-10', 'epoch': '0.3231'} + 100%|███████████████████████████████▉| 8981/9000 [7:52:18<00:49, 2.63s/it] {'lm_loss': '0.535', 'visual_loss': '2.019', 'seg_loss': '0.7445', 'dino_loss': '0.8782', 'depth_loss': '0.1739', 'vggt_mse_loss': '0.1728', 'vggt_cos_loss': '0.01033', 'pidinet_loss': '0.2222', 'siglip_loss': '0', 'epoch': '0.3231'} + 100%|███████████████████████████████▉| 8981/9000 [7:52:20<00:49, 2.63s/it][Dataset] cur_step=8982 phase=D_mixed_covt +[Dataset] cur_step=8982 phase=D_mixed_covt[Dataset] cur_step=8982 phase=D_mixed_covt +[Dataset] cur_step=8982 phase=D_mixed_covt + +[Dataset] cur_step=8982 phase=D_mixed_covt +[Dataset] cur_step=8982 phase=D_mixed_covt +[Dataset] cur_step=8982 phase=D_mixed_covt +[Dataset] cur_step=8982 phase=D_mixed_covt + 100%|███████████████████████████████▉| 8982/9000 [7:52:21<00:51, 2.87s/it] {'loss': '2.723', 'grad_norm': '2.118', 'learning_rate': '5.468e-10', 'epoch': '0.3231'} + 100%|███████████████████████████████▉| 8982/9000 [7:52:21<00:51, 2.87s/it] {'lm_loss': '0.08', 'visual_loss': '2.793', 'seg_loss': '0.8247', 'dino_loss': '0.9021', 'depth_loss': '0.2417', 'vggt_mse_loss': '0.2399', 'vggt_cos_loss': '0.01834', 'pidinet_loss': '0.2811', 'siglip_loss': '0.5432', 'epoch': '0.3231'} + 100%|███████████████████████████████▉| 8982/9000 [7:52:23<00:51, 2.87s/it][Dataset] cur_step=8983 phase=D_mixed_covt +[Dataset] cur_step=8983 phase=D_mixed_covt +[Dataset] cur_step=8983 phase=D_mixed_covt +[Dataset] cur_step=8983 phase=D_mixed_covt +[Dataset] cur_step=8983 phase=D_mixed_covt +[Dataset] cur_step=8983 phase=D_mixed_covt +[Dataset] cur_step=8983 phase=D_mixed_covt +[Dataset] cur_step=8983 phase=D_mixed_covt + 100%|███████████████████████████████▉| 8983/9000 [7:52:24<00:48, 2.88s/it] {'loss': '3.265', 'grad_norm': '2.482', 'learning_rate': '4.877e-10', 'epoch': '0.3232'} + 100%|███████████████████████████████▉| 8983/9000 [7:52:24<00:48, 2.88s/it] {'lm_loss': '1.156', 'visual_loss': '1.089', 'seg_loss': '0', 'dino_loss': '0.8751', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2143', 'siglip_loss': '0', 'epoch': '0.3232'} + 100%|███████████████████████████████▉| 8983/9000 [7:52:25<00:48, 2.88s/it][Dataset] cur_step=8984 phase=D_mixed_covt[Dataset] cur_step=8984 phase=D_mixed_covt + +[Dataset] cur_step=8984 phase=D_mixed_covt +[Dataset] cur_step=8984 phase=D_mixed_covt +[Dataset] cur_step=8984 phase=D_mixed_covt +[Dataset] cur_step=8984 phase=D_mixed_covt + 100%|███████████████████████████████▉| 8984/9000 [7:52:25<00:36, 2.29s/it][Dataset] cur_step=8984 phase=D_mixed_covt +[Dataset] cur_step=8984 phase=D_mixed_covt + {'loss': '2.094', 'grad_norm': '2.465', 'learning_rate': '4.32e-10', 'epoch': '0.3232'} + 100%|███████████████████████████████▉| 8984/9000 [7:52:25<00:36, 2.29s/it] {'lm_loss': '0.3065', 'visual_loss': '2.664', 'seg_loss': '0.7905', 'dino_loss': '0.9333', 'depth_loss': '0.2538', 'vggt_mse_loss': '0.2521', 'vggt_cos_loss': '0.01765', 'pidinet_loss': '0.2135', 'siglip_loss': '0.4725', 'epoch': '0.3232'} + 100%|███████████████████████████████▉| 8984/9000 [7:52:27<00:36, 2.29s/it][Dataset] cur_step=8985 phase=D_mixed_covt +[Dataset] cur_step=8985 phase=D_mixed_covt +[Dataset] cur_step=8985 phase=D_mixed_covt +[Dataset] cur_step=8985 phase=D_mixed_covt[Dataset] cur_step=8985 phase=D_mixed_covt +[Dataset] cur_step=8985 phase=D_mixed_covt + +[Dataset] cur_step=8985 phase=D_mixed_covt +[Dataset] cur_step=8985 phase=D_mixed_covt + 100%|███████████████████████████████▉| 8985/9000 [7:52:28<00:35, 2.34s/it] {'loss': '3.016', 'grad_norm': '4.043', 'learning_rate': '3.797e-10', 'epoch': '0.3232'} + 100%|███████████████████████████████▉| 8985/9000 [7:52:28<00:35, 2.34s/it] {'lm_loss': '0.6659', 'visual_loss': '2.877', 'seg_loss': '0.6663', 'dino_loss': '0.9099', 'depth_loss': '0.2871', 'vggt_mse_loss': '0.2853', 'vggt_cos_loss': '0.01778', 'pidinet_loss': '0.3148', 'siglip_loss': '0.6988', 'epoch': '0.3232'} + 100%|███████████████████████████████▉| 8985/9000 [7:52:29<00:35, 2.34s/it][Dataset] cur_step=8986 phase=D_mixed_covt[Dataset] cur_step=8986 phase=D_mixed_covt + +[Dataset] cur_step=8986 phase=D_mixed_covt +[Dataset] cur_step=8986 phase=D_mixed_covt +[Dataset] cur_step=8986 phase=D_mixed_covt +[Dataset] cur_step=8986 phase=D_mixed_covt +[Dataset] cur_step=8986 phase=D_mixed_covt +[Dataset] cur_step=8986 phase=D_mixed_covt + 100%|███████████████████████████████▉| 8986/9000 [7:52:31<00:34, 2.46s/it] {'loss': '3.136', 'grad_norm': '3.28', 'learning_rate': '3.308e-10', 'epoch': '0.3233'} + 100%|███████████████████████████████▉| 8986/9000 [7:52:31<00:34, 2.46s/it] {'lm_loss': '0.8064', 'visual_loss': '2.57', 'seg_loss': '0.6837', 'dino_loss': '0.9328', 'depth_loss': '0.2339', 'vggt_mse_loss': '0.232', 'vggt_cos_loss': '0.0195', 'pidinet_loss': '0.1708', 'siglip_loss': '0.5491', 'epoch': '0.3233'} + 100%|███████████████████████████████▉| 8986/9000 [7:52:32<00:34, 2.46s/it][Dataset] cur_step=8987 phase=D_mixed_covt +[Dataset] cur_step=8987 phase=D_mixed_covt +[Dataset] cur_step=8987 phase=D_mixed_covt +[Dataset] cur_step=8987 phase=D_mixed_covt +[Dataset] cur_step=8987 phase=D_mixed_covt[Dataset] cur_step=8987 phase=D_mixed_covt[Dataset] cur_step=8987 phase=D_mixed_covt + + + 100%|███████████████████████████████▉| 8987/9000 [7:52:32<00:29, 2.29s/it][Dataset] cur_step=8987 phase=D_mixed_covt + {'loss': '3.146', 'grad_norm': '3.005', 'learning_rate': '2.852e-10', 'epoch': '0.3233'} + 100%|███████████████████████████████▉| 8987/9000 [7:52:32<00:29, 2.29s/it] {'lm_loss': '0.09007', 'visual_loss': '1.369', 'seg_loss': '0.6949', 'dino_loss': '0', 'depth_loss': '0.2321', 'vggt_mse_loss': '0.2306', 'vggt_cos_loss': '0.01549', 'pidinet_loss': '0.1694', 'siglip_loss': '0.2726', 'epoch': '0.3233'} + 100%|███████████████████████████████▉| 8987/9000 [7:52:34<00:29, 2.29s/it][Dataset] cur_step=8988 phase=D_mixed_covt[Dataset] cur_step=8988 phase=D_mixed_covt + +[Dataset] cur_step=8988 phase=D_mixed_covt +[Dataset] cur_step=8988 phase=D_mixed_covt[Dataset] cur_step=8988 phase=D_mixed_covt +[Dataset] cur_step=8988 phase=D_mixed_covt + +[Dataset] cur_step=8988 phase=D_mixed_covt +[Dataset] cur_step=8988 phase=D_mixed_covt 100%|███████████████████████████████▉| 8988/9000 [7:52:34<00:26, 2.19s/it] + {'loss': '2.31', 'grad_norm': '2.54', 'learning_rate': '2.43e-10', 'epoch': '0.3233'} + 100%|███████████████████████████████▉| 8988/9000 [7:52:34<00:26, 2.19s/it] {'lm_loss': '0.6887', 'visual_loss': '2.889', 'seg_loss': '0.7821', 'dino_loss': '0.9189', 'depth_loss': '0.1921', 'vggt_mse_loss': '0.1909', 'vggt_cos_loss': '0.01199', 'pidinet_loss': '0.2244', 'siglip_loss': '0.7713', 'epoch': '0.3233'} + 100%|███████████████████████████████▉| 8988/9000 [7:52:36<00:26, 2.19s/it][Dataset] cur_step=8989 phase=D_mixed_covt +[Dataset] cur_step=8989 phase=D_mixed_covt[Dataset] cur_step=8989 phase=D_mixed_covt + +[Dataset] cur_step=8989 phase=D_mixed_covt +[Dataset] cur_step=8989 phase=D_mixed_covt + 100%|███████████████████████████████▉| 8989/9000 [7:52:37<00:24, 2.23s/it][Dataset] cur_step=8989 phase=D_mixed_covt[Dataset] cur_step=8989 phase=D_mixed_covt + +[Dataset] cur_step=8989 phase=D_mixed_covt + {'loss': '3.221', 'grad_norm': '3.259', 'learning_rate': '2.042e-10', 'epoch': '0.3234'} + 100%|███████████████████████████████▉| 8989/9000 [7:52:37<00:24, 2.23s/it] {'lm_loss': '0.7598', 'visual_loss': '2.342', 'seg_loss': '0.5859', 'dino_loss': '0.9477', 'depth_loss': '0.1548', 'vggt_mse_loss': '0.1536', 'vggt_cos_loss': '0.01128', 'pidinet_loss': '0.2285', 'siglip_loss': '0.4247', 'epoch': '0.3234'} + 100%|███████████████████████████████▉| 8989/9000 [7:52:39<00:24, 2.23s/it][Dataset] cur_step=8990 phase=D_mixed_covt +[Dataset] cur_step=8990 phase=D_mixed_covt +[Dataset] cur_step=8990 phase=D_mixed_covt +[Dataset] cur_step=8990 phase=D_mixed_covt +[Dataset] cur_step=8990 phase=D_mixed_covt +[Dataset] cur_step=8990 phase=D_mixed_covt + 100%|███████████████████████████████▉| 8990/9000 [7:52:39<00:23, 2.37s/it][Dataset] cur_step=8990 phase=D_mixed_covt +[Dataset] cur_step=8990 phase=D_mixed_covt + {'loss': '3.295', 'grad_norm': '3.171', 'learning_rate': '1.688e-10', 'epoch': '0.3234'} + 100%|███████████████████████████████▉| 8990/9000 [7:52:39<00:23, 2.37s/it] {'lm_loss': '0.7174', 'visual_loss': '2.626', 'seg_loss': '0.6224', 'dino_loss': '0.9683', 'depth_loss': '0.2523', 'vggt_mse_loss': '0.2503', 'vggt_cos_loss': '0.02008', 'pidinet_loss': '0.2347', 'siglip_loss': '0.5485', 'epoch': '0.3234'} + 100%|███████████████████████████████▉| 8990/9000 [7:52:42<00:23, 2.37s/it][Dataset] cur_step=8991 phase=D_mixed_covt +[Dataset] cur_step=8991 phase=D_mixed_covt +[Dataset] cur_step=8991 phase=D_mixed_covt +[Dataset] cur_step=8991 phase=D_mixed_covt +[Dataset] cur_step=8991 phase=D_mixed_covt +[Dataset] cur_step=8991 phase=D_mixed_covt[Dataset] cur_step=8991 phase=D_mixed_covt + + 100%|███████████████████████████████▉| 8991/9000 [7:52:46<00:31, 3.50s/it][Dataset] cur_step=8991 phase=D_mixed_covt + {'loss': '3.105', 'grad_norm': '2.595', 'learning_rate': '1.367e-10', 'epoch': '0.3235'} + 100%|███████████████████████████████▉| 8991/9000 [7:52:46<00:31, 3.50s/it] {'lm_loss': '1.067', 'visual_loss': '2.764', 'seg_loss': '0.5815', 'dino_loss': '0.937', 'depth_loss': '0.2988', 'vggt_mse_loss': '0.2964', 'vggt_cos_loss': '0.02341', 'pidinet_loss': '0.2338', 'siglip_loss': '0.7127', 'epoch': '0.3235'} + 100%|███████████████████████████████▉| 8991/9000 [7:52:47<00:31, 3.50s/it][Dataset] cur_step=8992 phase=D_mixed_covt +[Dataset] cur_step=8992 phase=D_mixed_covt +[Dataset] cur_step=8992 phase=D_mixed_covt +[Dataset] cur_step=8992 phase=D_mixed_covt +[Dataset] cur_step=8992 phase=D_mixed_covt + 100%|███████████████████████████████▉| 8992/9000 [7:52:47<00:24, 3.03s/it][Dataset] cur_step=8992 phase=D_mixed_covt +[Dataset] cur_step=8992 phase=D_mixed_covt +[Dataset] cur_step=8992 phase=D_mixed_covt + {'loss': '3.428', 'grad_norm': '3.485', 'learning_rate': '1.08e-10', 'epoch': '0.3235'} + 100%|███████████████████████████████▉| 8992/9000 [7:52:47<00:24, 3.03s/it] {'lm_loss': '0.1328', 'visual_loss': '1.033', 'seg_loss': '0.7733', 'dino_loss': '0', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2601', 'siglip_loss': '0', 'epoch': '0.3235'} + 100%|███████████████████████████████▉| 8992/9000 [7:52:49<00:24, 3.03s/it][Dataset] cur_step=8993 phase=D_mixed_covt +[Dataset] cur_step=8993 phase=D_mixed_covt[Dataset] cur_step=8993 phase=D_mixed_covt + +[Dataset] cur_step=8993 phase=D_mixed_covt +[Dataset] cur_step=8993 phase=D_mixed_covt +[Dataset] cur_step=8993 phase=D_mixed_covt + 100%|███████████████████████████████▉| 8993/9000 [7:52:51<00:22, 3.26s/it][Dataset] cur_step=8993 phase=D_mixed_covt +[Dataset] cur_step=8993 phase=D_mixed_covt + {'loss': '1.678', 'grad_norm': '3.361', 'learning_rate': '8.269e-11', 'epoch': '0.3235'} + 100%|███████████████████████████████▉| 8993/9000 [7:52:54<00:22, 3.26s/it] {'lm_loss': '0.6451', 'visual_loss': '2.787', 'seg_loss': '0.8485', 'dino_loss': '0.9587', 'depth_loss': '0.243', 'vggt_mse_loss': '0.2418', 'vggt_cos_loss': '0.01224', 'pidinet_loss': '0.2326', 'siglip_loss': '0.5044', 'epoch': '0.3235'} + 100%|███████████████████████████████▉| 8993/9000 [7:52:55<00:22, 3.26s/it][Dataset] cur_step=8994 phase=D_mixed_covt +[Dataset] cur_step=8994 phase=D_mixed_covt[Dataset] cur_step=8994 phase=D_mixed_covt + +[Dataset] cur_step=8994 phase=D_mixed_covt +[Dataset] cur_step=8994 phase=D_mixed_covt +[Dataset] cur_step=8994 phase=D_mixed_covt[Dataset] cur_step=8994 phase=D_mixed_covt + +[Dataset] cur_step=8994 phase=D_mixed_covt + 100%|███████████████████████████████▉| 8994/9000 [7:52:56<00:21, 3.59s/it] {'loss': '3.035', 'grad_norm': '4.226', 'learning_rate': '6.075e-11', 'epoch': '0.3236'} + 100%|███████████████████████████████▉| 8994/9000 [7:52:56<00:21, 3.59s/it] {'lm_loss': '0.9159', 'visual_loss': '3.012', 'seg_loss': '0.6695', 'dino_loss': '0.9215', 'depth_loss': '0.3543', 'vggt_mse_loss': '0.3512', 'vggt_cos_loss': '0.03035', 'pidinet_loss': '0.2846', 'siglip_loss': '0.7819', 'epoch': '0.3236'} + 100%|███████████████████████████████▉| 8994/9000 [7:52:58<00:21, 3.59s/it][Dataset] cur_step=8995 phase=D_mixed_covt +[Dataset] cur_step=8995 phase=D_mixed_covt +[Dataset] cur_step=8995 phase=D_mixed_covt +[Dataset] cur_step=8995 phase=D_mixed_covt +[Dataset] cur_step=8995 phase=D_mixed_covt 100%|███████████████████████████████▉| 8995/9000 [7:53:00<00:19, 3.93s/it] +[Dataset] cur_step=8995 phase=D_mixed_covt +[Dataset] cur_step=8995 phase=D_mixed_covt +[Dataset] cur_step=8995 phase=D_mixed_covt + {'loss': '3.469', 'grad_norm': '3.195', 'learning_rate': '4.219e-11', 'epoch': '0.3236'} + 100%|███████████████████████████████▉| 8995/9000 [7:53:00<00:19, 3.93s/it] {'lm_loss': '0.1903', 'visual_loss': '2.342', 'seg_loss': '0.8261', 'dino_loss': '0.8773', 'depth_loss': '0.1814', 'vggt_mse_loss': '0.1805', 'vggt_cos_loss': '0.008982', 'pidinet_loss': '0.06302', 'siglip_loss': '0.3939', 'epoch': '0.3236'} + 100%|███████████████████████████████▉| 8995/9000 [7:53:02<00:19, 3.93s/it][Dataset] cur_step=8996 phase=D_mixed_covt +[Dataset] cur_step=8996 phase=D_mixed_covt +[Dataset] cur_step=8996 phase=D_mixed_covt[Dataset] cur_step=8996 phase=D_mixed_covt + +[Dataset] cur_step=8996 phase=D_mixed_covt +[Dataset] cur_step=8996 phase=D_mixed_covt +[Dataset] cur_step=8996 phase=D_mixed_covt +[Dataset] cur_step=8996 phase=D_mixed_covt + 100%|███████████████████████████████▉| 8996/9000 [7:53:03<00:14, 3.52s/it] {'loss': '3.194', 'grad_norm': '4.175', 'learning_rate': '2.7e-11', 'epoch': '0.3236'} + 100%|███████████████████████████████▉| 8996/9000 [7:53:03<00:14, 3.52s/it] {'lm_loss': '0.7722', 'visual_loss': '2.504', 'seg_loss': '0.5711', 'dino_loss': '0.9401', 'depth_loss': '0.2604', 'vggt_mse_loss': '0.2584', 'vggt_cos_loss': '0.01965', 'pidinet_loss': '0.1846', 'siglip_loss': '0.5478', 'epoch': '0.3236'} + 100%|███████████████████████████████▉| 8996/9000 [7:53:05<00:14, 3.52s/it][Dataset] cur_step=8997 phase=D_mixed_covt +[Dataset] cur_step=8997 phase=D_mixed_covt +[Dataset] cur_step=8997 phase=D_mixed_covt +[Dataset] cur_step=8997 phase=D_mixed_covt +[Dataset] cur_step=8997 phase=D_mixed_covt +[Dataset] cur_step=8997 phase=D_mixed_covt +[Dataset] cur_step=8997 phase=D_mixed_covt +[Dataset] cur_step=8997 phase=D_mixed_covt + 100%|███████████████████████████████▉| 8997/9000 [7:53:06<00:10, 3.44s/it] {'loss': '3.32', 'grad_norm': '4.893', 'learning_rate': '1.519e-11', 'epoch': '0.3237'} + 100%|███████████████████████████████▉| 8997/9000 [7:53:06<00:10, 3.44s/it] {'lm_loss': '0.6115', 'visual_loss': '2.419', 'seg_loss': '0.5399', 'dino_loss': '0.8944', 'depth_loss': '0.3116', 'vggt_mse_loss': '0.3093', 'vggt_cos_loss': '0.02313', 'pidinet_loss': '0.2091', 'siglip_loss': '0.4638', 'epoch': '0.3237'} + 100%|███████████████████████████████▉| 8997/9000 [7:53:08<00:10, 3.44s/it][Dataset] cur_step=8998 phase=D_mixed_covt[Dataset] cur_step=8998 phase=D_mixed_covt + +[Dataset] cur_step=8998 phase=D_mixed_covt +[Dataset] cur_step=8998 phase=D_mixed_covt +[Dataset] cur_step=8998 phase=D_mixed_covt[Dataset] cur_step=8998 phase=D_mixed_covt + +[Dataset] cur_step=8998 phase=D_mixed_covt +[Dataset] cur_step=8998 phase=D_mixed_covt + 100%|███████████████████████████████▉| 8998/9000 [7:53:09<00:06, 3.25s/it] {'loss': '3.465', 'grad_norm': '3.131', 'learning_rate': '6.751e-12', 'epoch': '0.3237'} + 100%|███████████████████████████████▉| 8998/9000 [7:53:09<00:06, 3.25s/it] {'lm_loss': '0.6878', 'visual_loss': '0.2153', 'seg_loss': '0', 'dino_loss': '0', 'depth_loss': '0', 'vggt_mse_loss': '0', 'vggt_cos_loss': '0', 'pidinet_loss': '0.2153', 'siglip_loss': '0', 'epoch': '0.3237'} + 100%|███████████████████████████████▉| 8998/9000 [7:53:09<00:06, 3.25s/it][Dataset] cur_step=8999 phase=D_mixed_covt +[Dataset] cur_step=8999 phase=D_mixed_covt[Dataset] cur_step=8999 phase=D_mixed_covt + +[Dataset] cur_step=8999 phase=D_mixed_covt[Dataset] cur_step=8999 phase=D_mixed_covt + + 100%|███████████████████████████████▉| 8999/9000 [7:53:10<00:02, 2.55s/it][Dataset] cur_step=8999 phase=D_mixed_covt +[Dataset] cur_step=8999 phase=D_mixed_covt[Dataset] cur_step=8999 phase=D_mixed_covt + + {'loss': '0.9162', 'grad_norm': '3.039', 'learning_rate': '1.688e-12', 'epoch': '0.3237'} + 100%|███████████████████████████████▉| 8999/9000 [7:53:10<00:02, 2.55s/it] {'lm_loss': '0.4707', 'visual_loss': '2.589', 'seg_loss': '0.7701', 'dino_loss': '0.9121', 'depth_loss': '0.2164', 'vggt_mse_loss': '0.2148', 'vggt_cos_loss': '0.01546', 'pidinet_loss': '0.2456', 'siglip_loss': '0.4448', 'epoch': '0.3237'} + 100%|███████████████████████████████▉| 8999/9000 [7:53:13<00:02, 2.55s/it][Dataset] cur_step=9000 phase=D_mixed_covt +[Dataset] cur_step=9000 phase=D_mixed_covt +[Dataset] cur_step=9000 phase=D_mixed_covt +[Dataset] cur_step=9000 phase=D_mixed_covt +[Dataset] cur_step=9000 phase=D_mixed_covt[Dataset] cur_step=9000 phase=D_mixed_covt + +[Dataset] cur_step=9000 phase=D_mixed_covt +[Dataset] cur_step=9000 phase=D_mixed_covt +[cvbench] step=9000 metrics={"eval/cvbench_2d_accuracy": 0.772, "eval/cvbench_2d_count_accuracy": 0.6788321167883211, "eval/cvbench_2d_relation_accuracy": 0.8849557522123894, "eval/cvbench_2d_task_macro_accuracy": 0.7818939345003553, "eval/cvbench_3d_accuracy": 0.892, "eval/cvbench_3d_depth_accuracy": 0.944, "eval/cvbench_3d_distance_accuracy": 0.84, "eval/cvbench_3d_task_macro_accuracy": 0.8919999999999999, "eval/cvbench_accuracy": 0.832, "eval/cvbench_covt_answer_tag_rate": 1.0, "eval/cvbench_covt_any_anchor_rate": 1.0, "eval/cvbench_covt_depth_tokens_mean": 4.0, "eval/cvbench_covt_dino_tokens_mean": 4.0, "eval/cvbench_covt_pidinet_tokens_mean": 4.0, "eval/cvbench_covt_sam_tokens_mean": 8.0, "eval/cvbench_covt_siglip_tokens_mean": 3.984, "eval/cvbench_covt_think_rate": 1.0, "eval/cvbench_errors": 0.0, "eval/cvbench_parse_rate": 1.0, "eval/cvbench_samples": 500.0, "eval/cvbench_seconds": 309.30522424634546, "eval/cvbench_task_macro_accuracy": 0.8369469672501776} + 100%|████████████████████████████████| 9000/9000 [7:58:26<00:00, 96.68s/it] {'loss': '3.211', 'grad_norm': '4.013', 'learning_rate': '0', 'epoch': '0.3238'} + 100%|████████████████████████████████| 9000/9000 [7:58:26<00:00, 96.68s/it]Saving model checkpoint to /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-9000 +chat template saved in /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-9000/chat_template.jinja +tokenizer config file saved in /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-9000/tokenizer_config.json +chat template saved in /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-9000/chat_template.jinja +processor saved in /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-9000/processor_config.json + + +Training completed. Do not forget to share your model on huggingface.co/models =) + + + {'train_runtime': '2.873e+04', 'train_samples_per_second': '10.03', 'train_steps_per_second': '0.313', 'train_loss': '2.044', 'epoch': '0.3238'} + 100%|████████████████████████████████| 9000/9000 [7:58:47<00:00, 96.68s/it] 100%|████████████████████████████████| 9000/9000 [7:58:47<00:00, 3.19s/it] +Configuration saved in /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/config.json +chat template saved in /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/chat_template.jinja +tokenizer config file saved in /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/tokenizer_config.json +chat template saved in /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/chat_template.jinja +processor saved in /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/processor_config.json +swanlab: 📁 View project at https://swanlab.cn/@Oranger/unified-model +swanlab: 🚀 View run H3_LoRA-from3k-B2k-C2k-D2k at +https://swanlab.cn/@Oranger/unified-model/runs/yakjvhwf +swanlab: Upload complete: 257451 records +[2026-08-10 10:38:30,403] [INFO] [launch.py:367:main] Process 2189838 exits successfully. +[2026-08-10 10:38:30,403] [INFO] [launch.py:367:main] Process 2189840 exits successfully. +[2026-08-10 10:38:31,409] [INFO] [launch.py:367:main] Process 2189837 exits successfully. +[2026-08-10 10:38:31,414] [INFO] [launch.py:367:main] Process 2189836 exits successfully. +[2026-08-10 10:38:32,415] [INFO] [launch.py:367:main] Process 2189841 exits successfully. +[2026-08-10 10:38:33,417] [INFO] [launch.py:367:main] Process 2189839 exits successfully. +[rank0]:[W810 10:38:34.941414571 ProcessGroupNCCL.cpp:1538] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator()) +[2026-08-10 10:38:34,418] [INFO] [launch.py:367:main] Process 2189835 exits successfully. +[2026-08-10 10:38:41,424] [INFO] [launch.py:367:main] Process 2189834 exits successfully. diff --git a/reports/logs/H3_ckpt7000_three_benchmarks.log b/reports/logs/H3_ckpt7000_three_benchmarks.log new file mode 100644 index 0000000000000000000000000000000000000000..9b4bfe2976497180f142e8a30d7dbd6bc1abcdb0 --- /dev/null +++ b/reports/logs/H3_ckpt7000_three_benchmarks.log @@ -0,0 +1,481 @@ +[three-bench] START benchmark=cvbench utc=2026-08-10T11:12:55Z + Loading weights: 0%| | 0/767 [00:00 [1374, 2048] +[lora_weight_merge] No config.json under '/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-7000'; using parent '/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k' for AutoConfig. +[lora_weight_merge] from LoRA directory load Processor. +[lora_weight_merge] load base model: /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct + Loading weights: 0%| | 0/713 [00:00 bfloat16) +all_tensors_finite=true +MERGE_7K_SEQUENCE_EXIT=0 diff --git a/reports/logs/H3_merge_checkpoint-9000.log b/reports/logs/H3_merge_checkpoint-9000.log new file mode 100644 index 0000000000000000000000000000000000000000..11059a8d3d02134597f532dddd674fb0c1df2c00 --- /dev/null +++ b/reports/logs/H3_merge_checkpoint-9000.log @@ -0,0 +1,86 @@ +Stage-B checkpoint validation passed +checkpoint=/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-9000 +config_source=deployed Stage-B contract (checkpoint has no config.json) +adapter_tensors=714 +expert_tensors=54 (all bit-identical in non_lora sidecar) +non_lora_tensors=767 +embedding_rows=151936 +geometry_tensors=26 +geometry_contract=4 latent -> [1374, 2048] +[lora_weight_merge] No config.json under '/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-9000'; using parent '/private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/ckpts/stage2_covt_from3k_bcd_2k' for AutoConfig. +[lora_weight_merge] from LoRA directory load Processor. +[lora_weight_merge] load base model: /private/codes/exp/haocheng_workspace/projects/Unified/src/umm/models/base/Qwen3-VL-4B-Instruct + Loading weights: 0%| | 0/713 [00:00 bfloat16) +all_tensors_finite=true diff --git a/scripts/audit_multibench_results.py b/scripts/audit_multibench_results.py new file mode 100644 index 0000000000000000000000000000000000000000..9433413489117f64ddf7a87feadb2263730d8c61 --- /dev/null +++ b/scripts/audit_multibench_results.py @@ -0,0 +1,190 @@ +#!/usr/bin/env python3 +"""Independently verify multibench result completeness and recompute scores.""" + +from __future__ import annotations + +import argparse +import json +import math +import re +from collections import Counter, defaultdict +from pathlib import Path + +import pyarrow.parquet as pq + + +ANSWER_RE = re.compile(r"^\s*\(?([A-Z])\)?\s*$", re.IGNORECASE) + + +def _write_json(path: Path, payload: dict) -> None: + path.write_text( + json.dumps(payload, ensure_ascii=False, indent=2, sort_keys=True) + "\n", + encoding="utf-8", + ) + + +def _expected(value: str) -> str: + match = ANSWER_RE.fullmatch(str(value)) + if not match: + raise ValueError(f"Invalid answer: {value!r}") + return match.group(1).upper() + + +def _read_jsonl(path: Path) -> list[dict]: + return [json.loads(line) for line in path.read_text(encoding="utf-8").splitlines() if line.strip()] + + +def _cvbench_official_scores( + manifest: list[dict], result_by_id: dict[str, dict], raw_root: Path +) -> dict: + source_by_idx: dict[int, str] = {} + for parquet_path in (raw_root / "CV-Bench/test_2d.parquet", raw_root / "CV-Bench/test_3d.parquet"): + table = pq.read_table(parquet_path, columns=["idx", "source"]) + for row in table.to_pylist(): + source_by_idx[int(row["idx"])] = str(row["source"]) + source_scores: dict[str, list[int]] = defaultdict(list) + for source_row in manifest: + source = source_by_idx[int(source_row["source_idx"])] + source_scores[source].append(int(result_by_id[str(source_row["sample_id"])]["correct"])) + required = {"ADE20K", "COCO", "Omni3D"} + if source_scores.keys() != required: + raise RuntimeError(f"Unexpected CV-Bench sources: {sorted(source_scores)}") + components = { + source: { + "correct": sum(values), + "samples": len(values), + "accuracy": sum(values) / len(values), + } + for source, values in sorted(source_scores.items()) + } + accuracy_2d = (components["ADE20K"]["accuracy"] + components["COCO"]["accuracy"]) / 2 + accuracy_3d = components["Omni3D"]["accuracy"] + return { + "source_scores": components, + "official_2d_accuracy": accuracy_2d, + "official_3d_accuracy": accuracy_3d, + "official_cvbench_accuracy": (accuracy_2d + accuracy_3d) / 2, + "formula": "((ADE20K accuracy + COCO accuracy) / 2 + Omni3D accuracy) / 2", + } + + +def audit_one(manifest_path: Path, result_dir: Path, raw_root: Path) -> dict: + manifest = _read_jsonl(manifest_path) + results = _read_jsonl(result_dir / "results.jsonl") + metrics_file = json.loads((result_dir / "metrics.json").read_text(encoding="utf-8")) + benchmark = str(metrics_file["metadata"]["benchmark"]) + by_id = {str(row["sample_id"]): row for row in manifest} + result_by_id = {str(row["sample_id"]): row for row in results} + if len(by_id) != len(manifest) or len(result_by_id) != len(results): + raise RuntimeError(f"Duplicate IDs in {benchmark}") + if by_id.keys() != result_by_id.keys(): + missing = sorted(by_id.keys() - result_by_id.keys())[:5] + extra = sorted(result_by_id.keys() - by_id.keys())[:5] + raise RuntimeError(f"ID mismatch in {benchmark}: missing={missing}, extra={extra}") + errors = [] + correct = 0 + parsed = 0 + config = defaultdict(lambda: [0, 0]) + task = defaultdict(lambda: [0, 0]) + token_lengths = [] + for sample_id, source in by_id.items(): + row = result_by_id[sample_id] + expected = _expected(source["answer"]) + if row["expected"] != expected: + raise RuntimeError(f"Expected-answer mismatch for {benchmark}/{sample_id}") + if row["error"] is not None: + errors.append({"sample_id": sample_id, "error": row["error"]}) + prediction = row["predicted"] + if prediction is not None: + parsed += 1 + if not (len(prediction) == 1 and "A" <= prediction <= chr(ord("A") + len(source["choices"]) - 1)): + raise RuntimeError(f"Illegal prediction for {benchmark}/{sample_id}: {prediction!r}") + is_correct = prediction == expected + if bool(row["correct"]) != is_correct: + raise RuntimeError(f"Correct flag mismatch for {benchmark}/{sample_id}") + correct += int(is_correct) + config[str(source["config"])][0] += int(is_correct) + config[str(source["config"])][1] += 1 + task[str(source["task"])][0] += int(is_correct) + task[str(source["task"])][1] += 1 + token_lengths.append(len(row["generated_token_ids"])) + sample_count = len(results) + accuracy = correct / sample_count + parse_rate = parsed / sample_count + published = metrics_file["metrics"] + for key, recomputed in { + f"eval/{benchmark}_samples": float(sample_count), + f"eval/{benchmark}_errors": float(len(errors)), + f"eval/{benchmark}_accuracy": accuracy, + f"eval/{benchmark}_parse_rate": parse_rate, + }.items(): + if key not in published or not math.isclose(float(published[key]), recomputed, abs_tol=1e-12): + raise RuntimeError( + f"Published metric mismatch for {key}: {published.get(key)!r} != {recomputed!r}" + ) + sorted_lengths = sorted(token_lengths) + audit = { + "benchmark": benchmark, + "split": metrics_file["metadata"]["split"], + "samples": sample_count, + "correct": correct, + "accuracy": accuracy, + "parsed": parsed, + "parse_rate": parse_rate, + "errors": len(errors), + "config_scores": { + name: {"correct": values[0], "samples": values[1], "accuracy": values[0] / values[1]} + for name, values in sorted(config.items()) + }, + "task_scores": { + name: {"correct": values[0], "samples": values[1], "accuracy": values[0] / values[1]} + for name, values in sorted(task.items()) + }, + "generated_tokens": { + "min": min(sorted_lengths), + "median": sorted_lengths[len(sorted_lengths) // 2], + "p95": sorted_lengths[int(0.95 * (len(sorted_lengths) - 1))], + "max": max(sorted_lengths), + "at_256_cap": sum(length >= 256 for length in sorted_lengths), + }, + "checks": { + "manifest_result_ids_exact": True, + "expected_answers_exact": True, + "correct_flags_recomputed": True, + "published_core_metrics_recomputed": True, + "all_inference_errors_zero": not errors, + "no_generation_hit_cap": max(sorted_lengths) < 256, + }, + } + if benchmark == "cvbench": + audit["official_scoring"] = _cvbench_official_scores( + manifest, result_by_id, raw_root + ) + if errors: + raise RuntimeError(f"{benchmark} has {len(errors)} inference errors") + if max(sorted_lengths) >= 256: + raise RuntimeError(f"{benchmark} has generation(s) at the token cap") + _write_json(result_dir / "audit.json", audit) + return audit + + +def main() -> None: + parser = argparse.ArgumentParser() + parser.add_argument("--root", type=Path, required=True) + parser.add_argument("--prepared-root", type=Path, default=Path("data/benchmarks/prepared")) + args = parser.parse_args() + root = args.root.resolve() + prepared = args.prepared_root.resolve() + raw = prepared.parent / "raw" + jobs = [ + (prepared / "cvbench_full/manifest.jsonl", root / "cvbench_full_test"), + (prepared / "blink_val/manifest.jsonl", root / "blink_full_val"), + (prepared / "vstar_test/manifest.jsonl", root / "vstar_full_test"), + ] + audits = [audit_one(manifest, result, raw) for manifest, result in jobs] + _write_json(root / "audit_summary.json", {row["benchmark"]: row for row in audits}) + print(json.dumps({row["benchmark"]: row["accuracy"] for row in audits}, sort_keys=True)) + + +if __name__ == "__main__": + main() diff --git a/scripts/bootstrap.sh b/scripts/bootstrap.sh index a845b32f2396164c10bd5ee724ceda0cf7d30392..6fbbcca3fd4b293f3539d69aa8e5ec7152a15326 100644 --- a/scripts/bootstrap.sh +++ b/scripts/bootstrap.sh @@ -19,6 +19,11 @@ PYTHON_BIN="${ENV_PREFIX}/bin/python" -e "${UMM_ROOT}/third_party/transformers" \ -e "${UMM_ROOT}/third_party/diffusers" "${PYTHON_BIN}" "${UMM_ROOT}/scripts/render_config.py" +if [[ -f "${UMM_ROOT}/configs/stage2_covt_from3k_bcd_2k.template.yaml" ]]; then + "${PYTHON_BIN}" "${UMM_ROOT}/scripts/render_config.py" \ + --template configs/stage2_covt_from3k_bcd_2k.template.yaml \ + --output configs/stage2_covt_from3k_bcd_2k.yaml +fi mkdir -p "${UMM_ROOT}/data/covt/images" expected_images="$("${PYTHON_BIN}" -c 'import json; print(json.load(open("data/covt/stats.json"))["image_count"])')" diff --git a/scripts/compare_cvbench_results.py b/scripts/compare_cvbench_results.py new file mode 100644 index 0000000000000000000000000000000000000000..2e1638e63c5bd9fa2732219025e4bcf42db3f791 --- /dev/null +++ b/scripts/compare_cvbench_results.py @@ -0,0 +1,111 @@ +#!/usr/bin/env python3 +"""Compare multiple audited CV-Bench runs at the paired sample level.""" + +from __future__ import annotations + +import argparse +import json +import math +from itertools import combinations +from pathlib import Path + + +def _json(path: Path) -> dict: + return json.loads(path.read_text(encoding="utf-8")) + + +def _jsonl_by_id(path: Path) -> dict[str, dict]: + rows = [json.loads(line) for line in path.read_text(encoding="utf-8").splitlines() if line] + result = {row["sample_id"]: row for row in rows} + if len(result) != len(rows): + raise AssertionError(f"Duplicate sample IDs: {path}") + return result + + +def _mcnemar_exact_p(improved: int, regressed: int) -> float: + discordant = improved + regressed + if discordant == 0: + return 1.0 + tail = sum(math.comb(discordant, k) for k in range(min(improved, regressed) + 1)) + return min(1.0, 2.0 * tail / (2**discordant)) + + +def main() -> None: + parser = argparse.ArgumentParser() + parser.add_argument("--eval-root", type=Path, required=True) + parser.add_argument("--experiment", default="stage2_covt_sam_vggt_covt4_v2") + parser.add_argument("--steps", type=int, nargs="+", required=True) + parser.add_argument("--output", type=Path, required=True) + args = parser.parse_args() + + runs: dict[int, dict] = {} + results: dict[int, dict[str, dict]] = {} + for step in args.steps: + directory = args.eval_root / f"{args.experiment}-checkpoint-{step}" + validation = _json(directory / "validation_report.json") + if validation.get("assessment") != "ready_to_share": + raise AssertionError(f"Run has not passed validation: checkpoint-{step}") + metrics = _json(directory / "metrics.json")["metrics"] + swanlab = _json(directory / "swanlab.json") + results[step] = _jsonl_by_id(directory / "results.jsonl") + runs[step] = { + "correct": int(validation["correct_total"]), + "overall_accuracy": metrics["eval/cvbench_accuracy"], + "task_macro_accuracy": metrics["eval/cvbench_task_macro_accuracy"], + "2d_accuracy": metrics["eval/cvbench_2d_accuracy"], + "2d_count_accuracy": metrics["eval/cvbench_2d_count_accuracy"], + "2d_relation_accuracy": metrics["eval/cvbench_2d_relation_accuracy"], + "3d_accuracy": metrics["eval/cvbench_3d_accuracy"], + "3d_depth_accuracy": metrics["eval/cvbench_3d_depth_accuracy"], + "3d_distance_accuracy": metrics["eval/cvbench_3d_distance_accuracy"], + "parse_rate": metrics["eval/cvbench_parse_rate"], + "errors": int(metrics["eval/cvbench_errors"]), + "swanlab_run_id": swanlab["run_id"], + "swanlab_run_url": swanlab["run_url"], + } + + reference_ids = set(results[args.steps[0]]) + if len(reference_ids) != 500 or any(set(results[step]) != reference_ids for step in args.steps): + raise AssertionError("Checkpoint runs do not cover the same 500 samples") + + pairwise = [] + for earlier, later in combinations(args.steps, 2): + improved = sum( + not results[earlier][sample_id]["correct"] and results[later][sample_id]["correct"] + for sample_id in reference_ids + ) + regressed = sum( + results[earlier][sample_id]["correct"] and not results[later][sample_id]["correct"] + for sample_id in reference_ids + ) + pairwise.append( + { + "earlier_step": earlier, + "later_step": later, + "accuracy_delta_percentage_points": 100 + * (runs[later]["overall_accuracy"] - runs[earlier]["overall_accuracy"]), + "improved_samples": improved, + "regressed_samples": regressed, + "net_correct_delta": improved - regressed, + "mcnemar_exact_p": _mcnemar_exact_p(improved, regressed), + } + ) + + payload = { + "assessment": "ready_to_share_with_subset_and_sample_size_caveat", + "population": "fixed CV-Bench-500: 250 2D + 250 3D", + "scoring": "greedy option exact-match; no LLM judge", + "runs": {str(step): runs[step] for step in args.steps}, + "pairwise": pairwise, + "best_overall_step": max(args.steps, key=lambda step: runs[step]["overall_accuracy"]), + } + args.output.parent.mkdir(parents=True, exist_ok=True) + args.output.write_text( + json.dumps(payload, ensure_ascii=False, indent=2, sort_keys=True) + "\n", + encoding="utf-8", + ) + print(json.dumps(payload, ensure_ascii=False, indent=2, sort_keys=True)) + + +if __name__ == "__main__": + main() diff --git a/scripts/diagnose_vstar_eval.py b/scripts/diagnose_vstar_eval.py new file mode 100644 index 0000000000000000000000000000000000000000..5f59991eca55b3c5428308b6c1338bebc46fe4de --- /dev/null +++ b/scripts/diagnose_vstar_eval.py @@ -0,0 +1,419 @@ +#!/usr/bin/env python3 +"""Audit V* benchmark preparation and analyze errors against target scale.""" + +from __future__ import annotations + +import argparse +import csv +import json +import math +import re +from collections import Counter, defaultdict +from pathlib import Path +from statistics import mean, median + +from PIL import Image + + +def read_jsonl(path: Path) -> list[dict]: + return [json.loads(line) for line in path.read_text(encoding="utf-8").splitlines() if line] + + +def quantile(values: list[float], probability: float) -> float: + ordered = sorted(values) + if not ordered: + raise ValueError("Cannot compute a quantile of an empty list") + position = (len(ordered) - 1) * probability + lower = math.floor(position) + upper = math.ceil(position) + if lower == upper: + return float(ordered[lower]) + return float(ordered[lower] * (upper - position) + ordered[upper] * (position - lower)) + + +def summary(values: list[float]) -> dict[str, float]: + return { + "min": min(values), + "p10": quantile(values, 0.10), + "p25": quantile(values, 0.25), + "median": median(values), + "mean": mean(values), + "p75": quantile(values, 0.75), + "p90": quantile(values, 0.90), + "max": max(values), + } + + +def normalize_text(value: str) -> str: + return re.sub(r"[^a-z0-9]+", " ", value.lower()).strip() + + +def accuracy_group(rows: list[dict]) -> dict: + samples = len(rows) + correct = sum(bool(row["correct"]) for row in rows) + accuracy = correct / samples if rows else None + lower = None + upper = None + if samples: + z = 1.959963984540054 + denominator = 1 + z * z / samples + center = (accuracy + z * z / (2 * samples)) / denominator + margin = ( + z + * math.sqrt(accuracy * (1 - accuracy) / samples + z * z / (4 * samples * samples)) + / denominator + ) + lower = center - margin + upper = center + margin + return { + "samples": samples, + "correct": correct, + "accuracy": accuracy, + "wilson_95ci": [lower, upper], + } + + +def grouped(rows: list[dict], key: str) -> dict[str, dict]: + groups: dict[str, list[dict]] = defaultdict(list) + for row in rows: + groups[str(row[key])].append(row) + return {name: accuracy_group(group) for name, group in sorted(groups.items())} + + +def binned(rows: list[dict], key: str, boundaries: list[float]) -> dict[str, dict]: + groups: dict[str, list[dict]] = defaultdict(list) + for row in rows: + value = float(row[key]) + lower = -math.inf + label = "" + for upper in boundaries: + if value <= upper: + label = f"({lower if math.isfinite(lower) else '-inf'}, {upper}]" + break + lower = upper + if not label: + label = f"({boundaries[-1]}, inf)" + groups[label].append(row) + return {name: accuracy_group(group) for name, group in groups.items()} + + +def mcnemar_exact(discordant_a_only: int, discordant_b_only: int) -> float: + trials = discordant_a_only + discordant_b_only + if trials == 0: + return 1.0 + lower = min(discordant_a_only, discordant_b_only) + probability = sum(math.comb(trials, index) for index in range(lower + 1)) / (2**trials) + return min(1.0, 2 * probability) + + +def paired_comparison(rows: list[dict], first_key: str, second_key: str) -> dict: + first_only = sum(bool(row[first_key]) and not bool(row[second_key]) for row in rows) + second_only = sum(not bool(row[first_key]) and bool(row[second_key]) for row in rows) + both_correct = sum(bool(row[first_key]) and bool(row[second_key]) for row in rows) + both_wrong = sum(not bool(row[first_key]) and not bool(row[second_key]) for row in rows) + first_accuracy = sum(bool(row[first_key]) for row in rows) / len(rows) + second_accuracy = sum(bool(row[second_key]) for row in rows) / len(rows) + return { + "samples": len(rows), + "first_accuracy": first_accuracy, + "second_accuracy": second_accuracy, + "difference_percentage_points": (second_accuracy - first_accuracy) * 100, + "both_correct": both_correct, + "both_wrong": both_wrong, + "first_only_correct": first_only, + "second_only_correct": second_only, + "mcnemar_exact_two_sided_p": mcnemar_exact(first_only, second_only), + } + + +def main() -> None: + parser = argparse.ArgumentParser() + parser.add_argument("--manifest", type=Path, required=True) + parser.add_argument("--results", type=Path, required=True) + parser.add_argument("--dynamic-results", type=Path) + parser.add_argument("--oracle-results", type=Path) + parser.add_argument("--raw-root", type=Path, required=True) + parser.add_argument("--output-dir", type=Path, required=True) + parser.add_argument("--eval-width", type=int, default=448) + parser.add_argument("--eval-height", type=int, default=448) + args = parser.parse_args() + + manifest = read_jsonl(args.manifest) + results = read_jsonl(args.results) + manifest_by_id = {str(row["sample_id"]): row for row in manifest} + results_by_id = {str(row["sample_id"]): row for row in results} + if len(manifest_by_id) != len(manifest) or len(results_by_id) != len(results): + raise ValueError("Duplicate sample IDs detected") + if manifest_by_id.keys() != results_by_id.keys(): + raise ValueError("Manifest/result sample IDs differ") + + diagnostic_results = {} + for name, path in (("dynamic", args.dynamic_results), ("oracle", args.oracle_results)): + if path is None: + continue + experiment_rows = read_jsonl(path) + experiment_by_id = {str(row["sample_id"]): row for row in experiment_rows} + if len(experiment_by_id) != len(experiment_rows): + raise ValueError(f"Duplicate sample IDs in {name} results") + if experiment_by_id.keys() != manifest_by_id.keys(): + raise ValueError(f"Manifest/{name} result sample IDs differ") + diagnostic_results[name] = experiment_by_id + + rows: list[dict] = [] + mapping_failures: list[dict] = [] + dimension_mismatches: list[dict] = [] + for sample_id in sorted(manifest_by_id, key=int): + item = manifest_by_id[sample_id] + result = results_by_id[sample_id] + image_path = Path(item["images"][0]) + annotation_path = args.raw_root / str(item["config"]) / f"{image_path.stem}.json" + annotation = json.loads(annotation_path.read_text(encoding="utf-8")) + with Image.open(image_path) as image: + width, height = image.size + recorded_width, recorded_height = item["image_sizes"][0] + if (width, height) != (recorded_width, recorded_height): + dimension_mismatches.append( + { + "sample_id": sample_id, + "actual": [width, height], + "manifest": [recorded_width, recorded_height], + } + ) + + expected_index = ord(str(item["answer"]).upper()) - ord("A") + expected_choice = str(item["choices"][expected_index]) + official_correct_sentence = str(annotation["options"][0]) + choice_norm = normalize_text(expected_choice) + sentence_norm = normalize_text(official_correct_sentence) + mapping_valid = choice_norm in sentence_norm or sentence_norm in choice_norm + if not mapping_valid: + mapping_failures.append( + { + "sample_id": sample_id, + "choice": expected_choice, + "official_correct_sentence": official_correct_sentence, + } + ) + + scale_x = args.eval_width / width + scale_y = args.eval_height / height + boxes = annotation["bbox"] + projected_boxes = [ + [float(x) * scale_x, float(y) * scale_y, float(w) * scale_x, float(h) * scale_y] + for x, y, w, h in boxes + ] + min_projected_side = min(min(box[2], box[3]) for box in projected_boxes) + min_projected_area = min(box[2] * box[3] for box in projected_boxes) + min_area_fraction = min((float(w) * float(h)) / (width * height) for _, _, w, h in boxes) + target_centers = [ + ((float(x) + float(w) / 2) / width, (float(y) + float(h) / 2) / height) + for x, y, w, h in boxes + ] + max_center_distance = max( + math.sqrt(((cx - 0.5) / 0.5) ** 2 + ((cy - 0.5) / 0.5) ** 2) + for cx, cy in target_centers + ) + predicted = result.get("predicted") + predicted_choice = None + if predicted: + predicted_index = ord(str(predicted).upper()) - ord("A") + if 0 <= predicted_index < len(item["choices"]): + predicted_choice = item["choices"][predicted_index] + + question = str(item["question"]).lower() + if "color" in question: + question_type = "color" + elif "material" in question: + question_type = "material" + elif str(item["config"]) == "relative_position": + question_type = "relative_position" + elif "kind of" in question or "what animal" in question: + question_type = "object_kind" + else: + question_type = "other_attribute" + + output_row = { + "sample_id": sample_id, + "config": item["config"], + "question_type": question_type, + "question": item["question"], + "image_path": str(image_path), + "image_width": width, + "image_height": height, + "image_megapixels": width * height / 1_000_000, + "target_count": len(boxes), + "target_objects": " | ".join(annotation["target_object"]), + "min_target_area_fraction": min_area_fraction, + "min_projected_side_448": min_projected_side, + "min_projected_area_448": min_projected_area, + "max_center_distance": max_center_distance, + "choice_count": len(item["choices"]), + "expected": result["expected"], + "expected_choice": expected_choice, + "predicted": predicted, + "predicted_choice": predicted_choice, + "correct": bool(result["correct"]), + "mapping_valid": mapping_valid, + "error": result.get("error"), + } + for experiment_name, experiment_by_id in diagnostic_results.items(): + experiment = experiment_by_id[sample_id] + output_row[f"{experiment_name}_predicted"] = experiment.get("predicted") + output_row[f"{experiment_name}_correct"] = bool(experiment.get("correct")) + output_row[f"{experiment_name}_error"] = experiment.get("error") + rows.append(output_row) + + labels = Counter(row["expected"] for row in rows) + predictions = Counter(row["predicted"] for row in rows) + confusion: dict[str, Counter] = defaultdict(Counter) + for row in rows: + confusion[str(row["expected"])][str(row["predicted"])] += 1 + + task_groups: dict[str, list[dict]] = defaultdict(list) + for row in rows: + task_groups[str(row["config"])].append(row) + chance_by_task = { + task: mean(1 / int(row["choice_count"]) for row in task_rows) + for task, task_rows in sorted(task_groups.items()) + } + overall_random_chance = mean(1 / int(row["choice_count"]) for row in rows) + + tiny_threshold_counts = {} + for threshold in (4, 8, 12, 16, 24, 32): + subset = [row for row in rows if float(row["min_projected_side_448"]) <= threshold] + tiny_threshold_counts[f"le_{threshold}px"] = accuracy_group(subset) + + scale_by_config = {} + for config, config_rows in sorted(task_groups.items()): + correct_rows = [row for row in config_rows if row["correct"]] + wrong_rows = [row for row in config_rows if not row["correct"]] + scale_by_config[config] = { + "accuracy_by_projected_min_side_bin": binned( + config_rows, "min_projected_side_448", [4, 8, 12, 16, 24, 32] + ), + "min_projected_side_correct": summary( + [float(row["min_projected_side_448"]) for row in correct_rows] + ), + "min_projected_side_wrong": summary( + [float(row["min_projected_side_448"]) for row in wrong_rows] + ), + } + + wrong_smallest = sorted( + (row for row in rows if not row["correct"]), + key=lambda row: float(row["min_projected_side_448"]), + )[:20] + correct_smallest = sorted( + (row for row in rows if row["correct"]), + key=lambda row: float(row["min_projected_side_448"]), + )[:10] + + report = { + "scope": { + "samples": len(rows), + "manifest": str(args.manifest.resolve()), + "results": str(args.results.resolve()), + "raw_root": str(args.raw_root.resolve()), + "simulated_eval_size": [args.eval_width, args.eval_height], + }, + "integrity": { + "unique_manifest_ids": len(manifest_by_id), + "unique_result_ids": len(results_by_id), + "id_sets_equal": manifest_by_id.keys() == results_by_id.keys(), + "dimension_mismatches": dimension_mismatches, + "label_mapping_failures": mapping_failures, + "inference_errors": sum(bool(row["error"]) for row in rows), + "unparsed": sum(row["predicted"] is None for row in rows), + }, + "performance": { + "overall": accuracy_group(rows), + "by_config": grouped(rows, "config"), + "by_question_type": grouped(rows, "question_type"), + "random_choice_chance": overall_random_chance, + "random_choice_chance_by_config": chance_by_task, + "expected_label_distribution": dict(sorted(labels.items())), + "predicted_label_distribution": dict(sorted(predictions.items())), + "confusion": { + expected: dict(sorted(predicted.items())) + for expected, predicted in sorted(confusion.items()) + }, + }, + "image_and_target_scale": { + "image_width": summary([float(row["image_width"]) for row in rows]), + "image_height": summary([float(row["image_height"]) for row in rows]), + "image_megapixels": summary([float(row["image_megapixels"]) for row in rows]), + "min_projected_target_side_448": summary( + [float(row["min_projected_side_448"]) for row in rows] + ), + "min_projected_target_area_448": summary( + [float(row["min_projected_area_448"]) for row in rows] + ), + "min_target_area_fraction": summary( + [float(row["min_target_area_fraction"]) for row in rows] + ), + "accuracy_by_projected_min_side_bin": binned( + rows, "min_projected_side_448", [4, 8, 12, 16, 24, 32] + ), + "accuracy_by_image_megapixels": binned(rows, "image_megapixels", [2, 3, 4, 6]), + "accuracy_by_target_center_distance": binned( + rows, "max_center_distance", [0.5, 0.8, 1.0, 1.2] + ), + "cumulative_tiny_target_thresholds": tiny_threshold_counts, + "by_config": scale_by_config, + }, + "smallest_wrong_samples": wrong_smallest, + "smallest_correct_samples": correct_smallest, + } + + if diagnostic_results: + sensitivity = {} + for experiment_name in diagnostic_results: + correct_key = f"{experiment_name}_correct" + sensitivity[experiment_name] = { + "overall": accuracy_group( + [{**row, "correct": row[correct_key]} for row in rows] + ), + "by_config": { + config: accuracy_group( + [{**row, "correct": row[correct_key]} for row in config_rows] + ) + for config, config_rows in sorted(task_groups.items()) + }, + "accuracy_by_baseline_projected_min_side_bin": binned( + [{**row, "correct": row[correct_key]} for row in rows], + "min_projected_side_448", + [4, 8, 12, 16, 24, 32], + ), + "errors": sum(bool(row[f"{experiment_name}_error"]) for row in rows), + } + if "dynamic" in diagnostic_results: + sensitivity["baseline_vs_dynamic"] = paired_comparison( + rows, "correct", "dynamic_correct" + ) + if "oracle" in diagnostic_results: + sensitivity["baseline_vs_oracle"] = paired_comparison( + rows, "correct", "oracle_correct" + ) + if "dynamic" in diagnostic_results and "oracle" in diagnostic_results: + sensitivity["dynamic_vs_oracle"] = paired_comparison( + rows, "dynamic_correct", "oracle_correct" + ) + report["sensitivity_experiments"] = sensitivity + + args.output_dir.mkdir(parents=True, exist_ok=True) + (args.output_dir / "diagnosis.json").write_text( + json.dumps(report, ensure_ascii=False, indent=2, sort_keys=True) + "\n", + encoding="utf-8", + ) + fieldnames = list(rows[0]) + with (args.output_dir / "sample_diagnostics.csv").open( + "w", encoding="utf-8", newline="" + ) as handle: + writer = csv.DictWriter(handle, fieldnames=fieldnames) + writer.writeheader() + writer.writerows(rows) + print(json.dumps(report, ensure_ascii=False, indent=2, sort_keys=True)) + + +if __name__ == "__main__": + main() diff --git a/scripts/eval_cvbench_8gpu.sh b/scripts/eval_cvbench_8gpu.sh new file mode 100644 index 0000000000000000000000000000000000000000..e941eb4eeef86a208683eb7a5b6979904a2c5d0d --- /dev/null +++ b/scripts/eval_cvbench_8gpu.sh @@ -0,0 +1,82 @@ +#!/usr/bin/env bash +set -euo pipefail + +SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" +UMM_ROOT="${UMM_ROOT:-$(cd "${SCRIPT_DIR}/.." && pwd)}" +cd "${UMM_ROOT}" + +unset http_proxy https_proxy HTTP_PROXY HTTPS_PROXY all_proxy ALL_PROXY + +export PYTHONPATH="${UMM_ROOT}/code/umm/runtime:${UMM_ROOT}/code/umm:${UMM_ROOT}/code/umm/stage2_covt:${UMM_ROOT}/third_party/transformers/src:${UMM_ROOT}/third_party/diffusers/src:${PYTHONPATH:-}" +export HF_HOME="${HF_HOME:-${UMM_ROOT}/cache/huggingface}" +export TORCH_HOME="${TORCH_HOME:-${UMM_ROOT}/cache/torch}" +export TMPDIR="${TMPDIR:-${UMM_ROOT}/tmp}" +export CUDA_VISIBLE_DEVICES="${CUDA_VISIBLE_DEVICES:-0,1,2,3,4,5,6,7}" +export TOKENIZERS_PARALLELISM=false +export OMP_NUM_THREADS="${OMP_NUM_THREADS:-4}" + +PYTHON_BIN="${PYTHON_BIN:-${UMM_ROOT}/.env/unvideo/bin/python}" +CHECKPOINT_STEP="${CHECKPOINT_STEP:-2000}" +EXPERIMENT_NAME="${EXPERIMENT_NAME:-stage2_covt_sam_vggt_covt4_v2}" +MODEL_PATH="${MODEL_PATH:-${UMM_ROOT}/models/ckpts/${EXPERIMENT_NAME}/checkpoint-${CHECKPOINT_STEP}-merged}" +MANIFEST="${MANIFEST:-${UMM_ROOT}/data/cvbench_500/validation.jsonl}" +OUTPUT_DIR="${OUTPUT_DIR:-${UMM_ROOT}/outputs/evals/cvbench/${EXPERIMENT_NAME}-checkpoint-${CHECKPOINT_STEP}}" +MASTER_PORT="${MASTER_PORT:-29620}" +SWANLAB_PROJECT="${SWANLAB_PROJECT:-unified-model}" +SWANLAB_RUN_NAME="${SWANLAB_RUN_NAME:-H3_LoRA-ckpt${CHECKPOINT_STEP}-CVBench500}" +PROCESS_NAME="${PROCESS_NAME:-H3_EVAL_${CHECKPOINT_STEP}}" +SWANLAB_KEY_FILE="${SWANLAB_KEY_FILE:-${UMM_ROOT}/secrets/swanlab_key.txt}" + +if [[ ! -x "${PYTHON_BIN}" ]]; then + echo "Missing Python environment: ${PYTHON_BIN}" >&2 + exit 1 +fi +if [[ ! -f "${MODEL_PATH}/config.json" ]]; then + echo "Merged model is not ready: ${MODEL_PATH}" >&2 + exit 1 +fi +if [[ ! -s "${MANIFEST}" ]]; then + echo "CV-Bench manifest is missing: ${MANIFEST}" >&2 + exit 1 +fi +if [[ -z "${SWANLAB_API_KEY:-}" ]]; then + if [[ ! -s "${SWANLAB_KEY_FILE}" ]]; then + echo "SwanLab key file is missing: ${SWANLAB_KEY_FILE}" >&2 + exit 1 + fi + IFS= read -r SWANLAB_API_KEY < "${SWANLAB_KEY_FILE}" || true + if [[ -z "${SWANLAB_API_KEY}" ]]; then + echo "SwanLab key file is empty: ${SWANLAB_KEY_FILE}" >&2 + exit 1 + fi + export SWANLAB_API_KEY +fi + +CMD=( + "${PYTHON_BIN}" -m torch.distributed.run + --standalone + --nnodes=1 + --nproc-per-node=8 + "--master-port=${MASTER_PORT}" + "${UMM_ROOT}/code/umm/stage2_covt/eval_cvbench.py" + --model-path "${MODEL_PATH}" + --manifest "${MANIFEST}" + --output-dir "${OUTPUT_DIR}" + --dtype bfloat16 + --attn-implementation flash_attention_2 + --max-new-tokens 64 + --checkpoint-step "${CHECKPOINT_STEP}" + --process-name "${PROCESS_NAME}" + --swanlab + --swanlab-project "${SWANLAB_PROJECT}" + --swanlab-run-name "${SWANLAB_RUN_NAME}" +) +CMD+=("$@") + +if [[ "${DRY_RUN:-0}" == "1" ]]; then + printf '%q ' "${CMD[@]}" + printf '\n' + exit 0 +fi + +exec "${CMD[@]}" diff --git a/scripts/eval_cvbench_qwen3vl4b_raw_8gpu.sh b/scripts/eval_cvbench_qwen3vl4b_raw_8gpu.sh new file mode 100644 index 0000000000000000000000000000000000000000..eeb54edd10926e5904823b2976e9c7cf69c83037 --- /dev/null +++ b/scripts/eval_cvbench_qwen3vl4b_raw_8gpu.sh @@ -0,0 +1,54 @@ +#!/usr/bin/env bash +set -euo pipefail + +UMM_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)" +cd "${UMM_ROOT}" + +unset http_proxy https_proxy HTTP_PROXY HTTPS_PROXY all_proxy ALL_PROXY + +export PYTHONPATH="${UMM_ROOT}/code/umm/runtime:${UMM_ROOT}/code/umm/stage2_covt:${UMM_ROOT}/third_party/transformers/src:${PYTHONPATH:-}" +export CUDA_VISIBLE_DEVICES="${CUDA_VISIBLE_DEVICES:-0,1,2,3,4,5,6,7}" +export TOKENIZERS_PARALLELISM=false +export OMP_NUM_THREADS="${OMP_NUM_THREADS:-4}" +export SWANLAB_KEY_FILE="${SWANLAB_KEY_FILE:-${UMM_ROOT}/secrets/swanlab_key.txt}" + +PYTHON_BIN="${UMM_ROOT}/.env/unvideo/bin/python" +MODEL_PATH="${UMM_ROOT}/models/base/Qwen3-VL-4B-Instruct" +MANIFEST="${UMM_ROOT}/data/cvbench_500/validation.jsonl" +OUTPUT_DIR="${UMM_ROOT}/outputs/evals/cvbench/qwen3vl4b-instruct-raw" +MASTER_PORT="${MASTER_PORT:-29684}" + +if [[ "${CUDA_VISIBLE_DEVICES}" != "0,1,2,3,4,5,6,7" ]]; then + echo "Raw Qwen3-VL baseline evaluation requires all eight shared GPUs." >&2 + exit 1 +fi +for required in "${MODEL_PATH}/config.json" "${MANIFEST}"; do + if [[ ! -s "${required}" ]]; then + echo "Missing raw baseline evaluation input: ${required}" >&2 + exit 1 + fi +done +if [[ ! -s "${SWANLAB_KEY_FILE}" ]]; then + echo "Missing SwanLab key file: ${SWANLAB_KEY_FILE}" >&2 + exit 1 +fi +if [[ -e "${OUTPUT_DIR}" ]] && find "${OUTPUT_DIR}" -mindepth 1 -print -quit | grep -q .; then + echo "Refusing to overwrite non-empty output: ${OUTPUT_DIR}" >&2 + exit 1 +fi +if [[ -z "${SWANLAB_API_KEY:-}" ]]; then + IFS= read -r SWANLAB_API_KEY < "${SWANLAB_KEY_FILE}" || true + export SWANLAB_API_KEY +fi + +exec "${PYTHON_BIN}" -m torch.distributed.run \ + --standalone --nnodes=1 --nproc-per-node=8 "--master-port=${MASTER_PORT}" \ + "${UMM_ROOT}/code/umm/stage2_covt/eval_cvbench_base.py" \ + --model-path "${MODEL_PATH}" \ + --variant raw \ + --manifest "${MANIFEST}" \ + --output-dir "${OUTPUT_DIR}" \ + --max-new-tokens 64 \ + --process-name H3_RAW_EVAL \ + --swanlab-project unified-model \ + --swanlab-run-name H3-Qwen3VL4B-Raw-CVBench500 diff --git a/scripts/eval_cvbench_stage1_base_8gpu.sh b/scripts/eval_cvbench_stage1_base_8gpu.sh new file mode 100644 index 0000000000000000000000000000000000000000..25e4ebe31fd549b1bd60dfa31236bdd791db29b6 --- /dev/null +++ b/scripts/eval_cvbench_stage1_base_8gpu.sh @@ -0,0 +1,56 @@ +#!/usr/bin/env bash +set -euo pipefail + +UMM_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)" +cd "${UMM_ROOT}" + +unset http_proxy https_proxy HTTP_PROXY HTTPS_PROXY all_proxy ALL_PROXY + +export PYTHONPATH="${UMM_ROOT}/code/umm/runtime:${UMM_ROOT}/code/umm/stage2_covt:${UMM_ROOT}/third_party/transformers/src:${PYTHONPATH:-}" +export CUDA_VISIBLE_DEVICES="${CUDA_VISIBLE_DEVICES:-0,1,2,3,4,5,6,7}" +export TOKENIZERS_PARALLELISM=false +export OMP_NUM_THREADS="${OMP_NUM_THREADS:-4}" +export SWANLAB_KEY_FILE="${SWANLAB_KEY_FILE:-${UMM_ROOT}/secrets/swanlab_key.txt}" + +PYTHON_BIN="${UMM_ROOT}/.env/unvideo/bin/python" +MODEL_PATH="${UMM_ROOT}/models/base/Qwen3-VL-4B-Instruct" +STAGE1_CHECKPOINT="${UMM_ROOT}/checkpoints/stage1/checkpoint-32000.bin" +MANIFEST="${UMM_ROOT}/data/cvbench_500/validation.jsonl" +OUTPUT_DIR="${UMM_ROOT}/outputs/evals/cvbench/stage1-base-qwen3vl4b" +MASTER_PORT="${MASTER_PORT:-29683}" + +if [[ "${CUDA_VISIBLE_DEVICES}" != "0,1,2,3,4,5,6,7" ]]; then + echo "Stage-1 baseline evaluation requires all eight shared GPUs." >&2 + exit 1 +fi +for required in "${MODEL_PATH}/config.json" "${STAGE1_CHECKPOINT}" "${MANIFEST}"; do + if [[ ! -s "${required}" ]]; then + echo "Missing baseline evaluation input: ${required}" >&2 + exit 1 + fi +done +if [[ ! -s "${SWANLAB_KEY_FILE}" ]]; then + echo "Missing SwanLab key file: ${SWANLAB_KEY_FILE}" >&2 + exit 1 +fi +if [[ -e "${OUTPUT_DIR}" ]] && find "${OUTPUT_DIR}" -mindepth 1 -print -quit | grep -q .; then + echo "Refusing to overwrite non-empty output: ${OUTPUT_DIR}" >&2 + exit 1 +fi +if [[ -z "${SWANLAB_API_KEY:-}" ]]; then + IFS= read -r SWANLAB_API_KEY < "${SWANLAB_KEY_FILE}" || true + export SWANLAB_API_KEY +fi + +exec "${PYTHON_BIN}" -m torch.distributed.run \ + --standalone --nnodes=1 --nproc-per-node=8 "--master-port=${MASTER_PORT}" \ + "${UMM_ROOT}/code/umm/stage2_covt/eval_cvbench_base.py" \ + --model-path "${MODEL_PATH}" \ + --variant stage1-aligned \ + --stage1-checkpoint "${STAGE1_CHECKPOINT}" \ + --manifest "${MANIFEST}" \ + --output-dir "${OUTPUT_DIR}" \ + --max-new-tokens 64 \ + --process-name H3_BASE_EVAL \ + --swanlab-project unified-model \ + --swanlab-run-name H3-Stage1Base-CVBench500 diff --git a/scripts/eval_multibench_8gpu.sh b/scripts/eval_multibench_8gpu.sh new file mode 100644 index 0000000000000000000000000000000000000000..42b5b2adf3e489e4bba665bec4feafb6203f923d --- /dev/null +++ b/scripts/eval_multibench_8gpu.sh @@ -0,0 +1,75 @@ +#!/usr/bin/env bash +set -euo pipefail + +SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" +UMM_ROOT="${UMM_ROOT:-$(cd "${SCRIPT_DIR}/.." && pwd)}" +cd "${UMM_ROOT}" + +unset http_proxy https_proxy HTTP_PROXY HTTPS_PROXY all_proxy ALL_PROXY + +export PYTHONPATH="${UMM_ROOT}/code/umm/runtime:${UMM_ROOT}/code/umm:${UMM_ROOT}/code/umm/stage2_covt:${UMM_ROOT}/third_party/transformers/src:${UMM_ROOT}/third_party/diffusers/src:${PYTHONPATH:-}" +export HF_HOME="${HF_HOME:-${UMM_ROOT}/cache/huggingface}" +export TORCH_HOME="${TORCH_HOME:-${UMM_ROOT}/cache/torch}" +export TMPDIR="${TMPDIR:-${UMM_ROOT}/tmp}" +export CUDA_VISIBLE_DEVICES="${CUDA_VISIBLE_DEVICES:-0,1,2,3,4,5,6,7}" +export TOKENIZERS_PARALLELISM=false +export OMP_NUM_THREADS="${OMP_NUM_THREADS:-4}" + +PYTHON_BIN="${PYTHON_BIN:-${UMM_ROOT}/.env/unvideo/bin/python}" +BENCHMARK="${BENCHMARK:?Set BENCHMARK to cvbench, blink, or vstar}" +CHECKPOINT_STEP="${CHECKPOINT_STEP:-7000}" +MODEL_PATH="${MODEL_PATH:-${UMM_ROOT}/models/ckpts/stage2_covt_from3k_bcd_2k/merged/checkpoint-${CHECKPOINT_STEP}-merged}" +MANIFEST="${MANIFEST:?Set MANIFEST to a prepared benchmark manifest}" +OUTPUT_DIR="${OUTPUT_DIR:?Set OUTPUT_DIR to a new result directory}" +MASTER_PORT="${MASTER_PORT:-29700}" +PROCESS_NAME="${PROCESS_NAME:-H3_${BENCHMARK}_7K}" +MAX_NEW_TOKENS="${MAX_NEW_TOKENS:-256}" +# SWANLAB_PROJECT is a reserved structured setting in SwanLab 0.9.x. Accept +# it for backwards compatibility, then remove it from the Python environment. +SWANLAB_PROJECT_NAME="${SWANLAB_PROJECT_NAME:-${SWANLAB_PROJECT:-unified-model}}" +unset SWANLAB_PROJECT +SWANLAB_RUN_NAME="${SWANLAB_RUN_NAME:-H3_LoRA-ckpt${CHECKPOINT_STEP}-${BENCHMARK}}" +SWANLAB_KEY_FILE="${SWANLAB_KEY_FILE:-${UMM_ROOT}/secrets/swanlab_key.txt}" + +if [[ ! -x "${PYTHON_BIN}" ]]; then + echo "Missing Python environment: ${PYTHON_BIN}" >&2 + exit 1 +fi +if [[ ! -f "${MODEL_PATH}/config.json" ]]; then + echo "Merged model is not ready: ${MODEL_PATH}" >&2 + exit 1 +fi +if [[ ! -s "${MANIFEST}" ]]; then + echo "Manifest is missing: ${MANIFEST}" >&2 + exit 1 +fi +if [[ -z "${SWANLAB_API_KEY:-}" ]]; then + if [[ ! -s "${SWANLAB_KEY_FILE}" ]]; then + echo "SwanLab key file is missing: ${SWANLAB_KEY_FILE}" >&2 + exit 1 + fi + IFS= read -r SWANLAB_API_KEY < "${SWANLAB_KEY_FILE}" || true + if [[ -z "${SWANLAB_API_KEY}" ]]; then + echo "SwanLab key file is empty: ${SWANLAB_KEY_FILE}" >&2 + exit 1 + fi + export SWANLAB_API_KEY +fi + +exec "${PYTHON_BIN}" -m torch.distributed.run \ + --standalone \ + --nnodes=1 \ + --nproc-per-node=8 \ + "--master-port=${MASTER_PORT}" \ + "${UMM_ROOT}/code/umm/stage2_covt/eval_multibench.py" \ + --model-path "${MODEL_PATH}" \ + --manifest "${MANIFEST}" \ + --output-dir "${OUTPUT_DIR}" \ + --benchmark "${BENCHMARK}" \ + --checkpoint-step "${CHECKPOINT_STEP}" \ + --max-new-tokens "${MAX_NEW_TOKENS}" \ + --process-name "${PROCESS_NAME}" \ + --swanlab \ + --swanlab-project "${SWANLAB_PROJECT_NAME}" \ + --swanlab-run-name "${SWANLAB_RUN_NAME}" \ + "$@" diff --git a/scripts/launch_h3_lora.sh b/scripts/launch_h3_lora.sh new file mode 100644 index 0000000000000000000000000000000000000000..e0f2c3160b477110387e97fed2a4a3c99289f60f --- /dev/null +++ b/scripts/launch_h3_lora.sh @@ -0,0 +1,88 @@ +#!/usr/bin/env bash +set -euo pipefail + +UMM_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)" +cd "${UMM_ROOT}" + +# Downloads and SwanLab traffic must go directly from this host. +unset http_proxy https_proxy HTTP_PROXY HTTPS_PROXY all_proxy ALL_PROXY + +export CUDA_VISIBLE_DEVICES="${CUDA_VISIBLE_DEVICES:-0,1,2,3,4,5,6,7}" +export UMM_PROCESS_NAME="${UMM_PROCESS_NAME:-H3_LoRA}" +export SWANLAB_PROJ_NAME="${SWANLAB_PROJ_NAME:-unified-model}" +export SWANLAB_KEY_FILE="${SWANLAB_KEY_FILE:-${UMM_ROOT}/secrets/swanlab_key.txt}" +export MASTER_PORT="${MASTER_PORT:-29617}" + +if [[ "${CUDA_VISIBLE_DEVICES}" != "0,1,2,3,4,5,6,7" ]]; then + echo "H3_LoRA formal launch requires all eight GPUs; got ${CUDA_VISIBLE_DEVICES}" >&2 + exit 1 +fi +if [[ ! -x "${UMM_ROOT}/.env/unvideo/bin/python" ]]; then + echo "Portable environment is not deployed." >&2 + exit 1 +fi +if [[ ! -s "${SWANLAB_KEY_FILE}" ]]; then + echo "SwanLab key file is missing or empty: ${SWANLAB_KEY_FILE}" >&2 + exit 1 +fi +if [[ ! -s "${UMM_ROOT}/data/cvbench_500/validation.jsonl" ]]; then + echo "CV-Bench validation subset is not ready." >&2 + exit 1 +fi + +mkdir -p outputs logs +"${UMM_ROOT}/.env/unvideo/bin/python" "${UMM_ROOT}/scripts/validate_covt_references.py" \ + 2>&1 | tee "${UMM_ROOT}/logs/covt_reference_closure.log" +"${UMM_ROOT}/.env/unvideo/bin/python" "${UMM_ROOT}/scripts/verify_bundle.py" --materialized \ + 2>&1 | tee "${UMM_ROOT}/logs/H3_LoRA_preflight.log" +nvidia-smi \ + --query-gpu=index,name,memory.total,memory.used,memory.free,utilization.gpu,temperature.gpu \ + --format=csv,noheader \ + | tee logs/H3_LoRA_gpu_before_launch.log +sha256sum \ + configs/stage2_covt.yaml \ + data/cvbench_500/validation.jsonl \ + data/cvbench_500/summary.json \ + code/umm/stage2_covt/train.py \ + code/umm/stage2_covt/cvbench_eval.py \ + > logs/H3_LoRA_launch_fingerprint.sha256 +DRY_RUN=1 bash code/umm/stage2_covt/run_train.sh \ + --run_name H3_LoRA-dry-run \ + > logs/H3_LoRA_dry_run.log + +SMOKE_DIR="${UMM_ROOT}/outputs/H3_LoRA_8gpu_smoke" +SMOKE_SENTINEL="${SMOKE_DIR}/SMOKE_COMPLETE" +if [[ "${FORCE_SMOKE:-0}" == "1" || ! -f "${SMOKE_SENTINEL}" ]]; then + mkdir -p "${SMOKE_DIR}" + echo "[H3_LoRA] starting 8-GPU one-step smoke with full CV-Bench-500 evaluation" + bash code/umm/stage2_covt/run_train.sh \ + --output_dir "${SMOKE_DIR}" \ + --max_steps 1 \ + --per_device_train_batch_size 1 \ + --save_strategy no \ + --run_name H3_LoRA-8gpu-smoke \ + --cvbench_eval_every_n_steps 1 \ + 2>&1 | tee "${UMM_ROOT}/logs/H3_LoRA_8gpu_smoke.log" + date -u +%FT%TZ > "${SMOKE_SENTINEL}" +fi + +CAPACITY_DIR="${UMM_ROOT}/outputs/H3_LoRA_8gpu_batch4_smoke" +CAPACITY_SENTINEL="${CAPACITY_DIR}/SMOKE_COMPLETE" +if [[ "${FORCE_SMOKE:-0}" == "1" || ! -f "${CAPACITY_SENTINEL}" ]]; then + mkdir -p "${CAPACITY_DIR}" + echo "[H3_LoRA] starting 8-GPU batch-4 capacity smoke" + bash code/umm/stage2_covt/run_train.sh \ + --output_dir "${CAPACITY_DIR}" \ + --max_steps 1 \ + --per_device_train_batch_size 4 \ + --save_strategy no \ + --run_name H3_LoRA-8gpu-batch4-smoke \ + --cvbench_eval_every_n_steps 0 \ + 2>&1 | tee "${UMM_ROOT}/logs/H3_LoRA_8gpu_batch4_smoke.log" + date -u +%FT%TZ > "${CAPACITY_SENTINEL}" +fi + +echo "[H3_LoRA] connectivity/eval and batch-4 capacity smokes passed; starting resumable 8-GPU formal training" +bash code/umm/stage2_covt/run_train.sh \ + --run_name H3_LoRA-stage2-covt4-8gpu \ + 2>&1 | tee -a "${UMM_ROOT}/logs/H3_LoRA_train.log" diff --git a/scripts/launch_h3_lora_from3k_bcd.sh b/scripts/launch_h3_lora_from3k_bcd.sh new file mode 100644 index 0000000000000000000000000000000000000000..4a1d45991aa57b84a30ae803abf3ab4a9462e331 --- /dev/null +++ b/scripts/launch_h3_lora_from3k_bcd.sh @@ -0,0 +1,87 @@ +#!/usr/bin/env bash +set -euo pipefail + +UMM_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)" +cd "${UMM_ROOT}" + +unset http_proxy https_proxy HTTP_PROXY HTTPS_PROXY all_proxy ALL_PROXY + +export CUDA_VISIBLE_DEVICES="${CUDA_VISIBLE_DEVICES:-0,1,2,3,4,5,6,7}" +export UMM_PROCESS_NAME="${UMM_PROCESS_NAME:-H3_LoRA_BCD}" +export SWANLAB_PROJ_NAME="${SWANLAB_PROJ_NAME:-unified-model}" +export SWANLAB_KEY_FILE="${SWANLAB_KEY_FILE:-${UMM_ROOT}/secrets/swanlab_key.txt}" +export MASTER_PORT="${MASTER_PORT:-29671}" + +CONFIG="${UMM_ROOT}/configs/stage2_covt_from3k_bcd_2k.yaml" +CONFIG_TEMPLATE="${UMM_ROOT}/configs/stage2_covt_from3k_bcd_2k.template.yaml" +SOURCE_CKPT="${UMM_ROOT}/outputs/stage2_covt_sam_vggt_covt4_v2/checkpoint-3000" +OUTPUT_DIR="${UMM_ROOT}/models/ckpts/stage2_covt_from3k_bcd_2k" +BOOTSTRAP_LINK="${OUTPUT_DIR}/checkpoint-3000" +LOG_FILE="${UMM_ROOT}/logs/H3_LoRA_from3k_BCD_train.log" + +if [[ "${CUDA_VISIBLE_DEVICES}" != "0,1,2,3,4,5,6,7" ]]; then + echo "Formal B/C/D launch requires all eight GPUs; got ${CUDA_VISIBLE_DEVICES}" >&2 + exit 1 +fi +if [[ ! -x "${UMM_ROOT}/.env/unvideo/bin/python" ]]; then + echo "Portable environment is unavailable." >&2 + exit 1 +fi +if [[ ! -f "${CONFIG}" ]]; then + "${UMM_ROOT}/.env/unvideo/bin/python" "${UMM_ROOT}/scripts/render_config.py" \ + --template "${CONFIG_TEMPLATE}" \ + --output "${CONFIG}" +fi +if [[ ! -s "${SWANLAB_KEY_FILE}" ]]; then + echo "SwanLab key file is missing or empty: ${SWANLAB_KEY_FILE}" >&2 + exit 1 +fi +for required in trainer_state.json adapter_model.safetensors non_lora_state_dict.bin latest; do + if [[ ! -e "${SOURCE_CKPT}/${required}" ]]; then + echo "Source checkpoint is incomplete: ${SOURCE_CKPT}/${required}" >&2 + exit 1 + fi +done + +mkdir -p "${OUTPUT_DIR}" "${UMM_ROOT}/logs" +if ! find "${OUTPUT_DIR}" -maxdepth 1 -type d -name 'checkpoint-*' -exec test -f '{}/trainer_state.json' ';' -print -quit | grep -q .; then + if [[ -L "${BOOTSTRAP_LINK}" ]]; then + if [[ "$(readlink -f "${BOOTSTRAP_LINK}")" != "$(readlink -f "${SOURCE_CKPT}")" ]]; then + echo "Unexpected checkpoint-3000 symlink target: ${BOOTSTRAP_LINK}" >&2 + exit 1 + fi + elif [[ -e "${BOOTSTRAP_LINK}" ]]; then + echo "Refusing to overwrite existing non-symlink path: ${BOOTSTRAP_LINK}" >&2 + exit 1 + else + ln -s "${SOURCE_CKPT}" "${BOOTSTRAP_LINK}" + fi +fi + +"${UMM_ROOT}/.env/unvideo/bin/python" - "${CONFIG}" "${SOURCE_CKPT}" <<'PY' +import json +import sys +from pathlib import Path + +import yaml + +config_path, checkpoint_path = map(Path, sys.argv[1:]) +config = yaml.safe_load(config_path.read_text(encoding="utf-8")) +state = json.loads((checkpoint_path / "trainer_state.json").read_text(encoding="utf-8")) +assert int(state["global_step"]) == 3000, state["global_step"] +assert [config["data"][key] for key in ("stage_0_step", "stage_1_step", "stage_2_step")] == [3000, 5000, 7000] +assert config["training"]["max_steps"] == 9000 +assert config["training"]["cvbench_eval_every_n_steps"] == 500 +assert config["training"]["save_steps"] == 1000 +assert config["training"]["save_total_limit"] >= 6 +optim = sorted((checkpoint_path / "global_step3000").glob("*_optim_states.pt")) +assert len(optim) == 8, len(optim) +print("[H3_LoRA_BCD] preflight: source=3000, B=[3000,5000), C=[5000,7000), D=[7000,9000), val=500") +PY + +CONFIG="${CONFIG}" DRY_RUN=1 bash code/umm/stage2_covt/run_train.sh \ + > "${UMM_ROOT}/logs/H3_LoRA_from3k_BCD_dry_run.log" + +echo "[H3_LoRA_BCD] starting resumable 8-GPU formal training" | tee -a "${LOG_FILE}" +CONFIG="${CONFIG}" bash code/umm/stage2_covt/run_train.sh \ + 2>&1 | tee -a "${LOG_FILE}" diff --git a/scripts/prepare_cvbench_subset.py b/scripts/prepare_cvbench_subset.py new file mode 100644 index 0000000000000000000000000000000000000000..53000e15fa694b35e64aad610be372b251bdba91 --- /dev/null +++ b/scripts/prepare_cvbench_subset.py @@ -0,0 +1,315 @@ +#!/usr/bin/env python3 +"""Build a deterministic 500-example CV-Bench validation subset. + +The source parquet files are fetched without any proxy, but only 250 examples +from each of the 2D and 3D configurations are materialized. Sampling is +stratified by the dataset's task column and is reproducible from ``--seed``. +""" + +from __future__ import annotations + +import argparse +import hashlib +import io +import json +import os +import random +import shutil +import subprocess +from collections import Counter, defaultdict +from datetime import datetime, timezone +from pathlib import Path + +import pyarrow as pa +import pyarrow.parquet as pq +from PIL import Image + + +SOURCE_REPO = "nyu-visionx/CV-Bench" +SOURCE_REVISION = "bc284db50d036958861cb60cdd7b77612052ce0d" +SOURCE_FILES = { + "2D": "test_2d.parquet", + "3D": "test_3d.parquet", +} +EXPECTED_ROWS = {"2D": 1438, "3D": 1200} +PROXY_ENV_VARS = ( + "http_proxy", + "https_proxy", + "HTTP_PROXY", + "HTTPS_PROXY", + "all_proxy", + "ALL_PROXY", +) +IMAGE_SUFFIXES = { + "JPEG": ".jpg", + "PNG": ".png", + "WEBP": ".webp", + "BMP": ".bmp", + "GIF": ".gif", + "TIFF": ".tiff", +} + + +def direct_environment() -> dict[str, str]: + environment = os.environ.copy() + for name in PROXY_ENV_VARS: + environment.pop(name, None) + return environment + + +def download_direct(url: str, destination: Path, retries: int = 5) -> None: + if destination.is_file() and destination.stat().st_size > 0: + print(f"[cvbench] reuse {destination} ({destination.stat().st_size} bytes)") + return + destination.parent.mkdir(parents=True, exist_ok=True) + part = destination.with_suffix(destination.suffix + ".part") + print(f"[cvbench] direct resumable download {url}", flush=True) + subprocess.run( + [ + "curl", + "--noproxy", + "*", + "--fail", + "--location", + "--retry", + str(retries), + "--retry-all-errors", + "--retry-delay", + "2", + "--connect-timeout", + "30", + "--speed-limit", + "1024", + "--speed-time", + "30", + "--continue-at", + "-", + "--output", + str(part), + url, + ], + env=direct_environment(), + check=True, + ) + if not part.is_file() or part.stat().st_size == 0: + raise IOError(f"download did not produce data: {part}") + part.replace(destination) + + +def proportional_quotas(groups: dict[str, list[int]], total: int) -> dict[str, int]: + population = sum(len(rows) for rows in groups.values()) + exact = {name: total * len(rows) / population for name, rows in groups.items()} + quotas = {name: int(value) for name, value in exact.items()} + remainder = total - sum(quotas.values()) + order = sorted(groups, key=lambda name: (-(exact[name] - quotas[name]), name)) + for name in order[:remainder]: + quotas[name] += 1 + return quotas + + +def stable_rng(seed: int, config: str, task: str) -> random.Random: + digest = hashlib.sha256(f"{seed}:{config}:{task}".encode()).digest() + return random.Random(int.from_bytes(digest[:8], "big")) + + +def select_rows( + parquet_path: Path, + config: str, + count: int, + seed: int, + seen_image_hashes: set[bytes], +) -> list[int]: + metadata = pq.read_table(parquet_path, columns=["type", "task", "image"]) + if metadata.num_rows != EXPECTED_ROWS[config]: + raise ValueError( + f"unexpected {config} row count: {metadata.num_rows} != {EXPECTED_ROWS[config]}" + ) + groups: dict[str, list[int]] = defaultdict(list) + for row_index, task in enumerate(metadata.column("task").to_pylist()): + groups[str(task)].append(row_index) + quotas = proportional_quotas(groups, count) + selected: list[int] = [] + duplicate_images_skipped = 0 + for task in sorted(groups): + candidates = groups[task].copy() + stable_rng(seed, config, task).shuffle(candidates) + task_selected = 0 + for row_index in candidates: + image_value = metadata.column("image")[row_index].as_py() + raw = image_value.get("bytes") + if raw is None: + raise ValueError(f"parquet image has no embedded bytes at {config} row {row_index}") + image_hash = hashlib.sha256(raw).digest() + if image_hash in seen_image_hashes: + duplicate_images_skipped += 1 + continue + seen_image_hashes.add(image_hash) + selected.append(row_index) + task_selected += 1 + if task_selected == quotas[task]: + break + if task_selected != quotas[task]: + raise ValueError( + f"not enough unique {config}/{task} images: {task_selected} != {quotas[task]}" + ) + selected.sort() + if len(selected) != count or len(set(selected)) != count: + raise AssertionError(f"invalid {config} selection size") + print(f"[cvbench] {config} task quotas: {dict(sorted(quotas.items()))}") + print(f"[cvbench] {config} duplicate candidate images skipped: {duplicate_images_skipped}") + return selected + + +def image_bytes_and_suffix(image_value: dict) -> tuple[bytes, str, int, int]: + raw = image_value.get("bytes") + if raw is None: + raise ValueError(f"parquet image has no embedded bytes: {image_value.get('path')!r}") + with Image.open(io.BytesIO(raw)) as image: + image.verify() + with Image.open(io.BytesIO(raw)) as image: + fmt = str(image.format or "").upper() + width, height = image.size + suffix = IMAGE_SUFFIXES.get(fmt, ".img") + return raw, suffix, width, height + + +def materialize_config( + parquet_path: Path, + config: str, + selected: list[int], + staging: Path, +) -> list[dict]: + columns = [ + "idx", + "type", + "task", + "image", + "question", + "choices", + "answer", + "prompt", + "filename", + "source", + "source_dataset", + "source_filename", + "target_class", + "target_size", + "bbox", + ] + table = pq.read_table(parquet_path, columns=columns) + sampled = table.take(pa.array(selected, type=pa.int64())).to_pylist() + images_dir = staging / "images" + images_dir.mkdir(parents=True, exist_ok=True) + records: list[dict] = [] + for ordinal, (row_index, row) in enumerate(zip(selected, sampled)): + raw, suffix, width, height = image_bytes_and_suffix(row.pop("image")) + image_name = f"{config}_{ordinal:03d}_row{row_index:04d}{suffix}" + image_rel = Path("images") / image_name + (staging / image_rel).write_bytes(raw) + record = { + "sample_id": f"{config}-{ordinal:03d}", + "config": config, + "split": "test", + "row_index": row_index, + "image": image_rel.as_posix(), + "image_width": width, + "image_height": height, + **row, + } + records.append(record) + return records + + +def validate_existing(output: Path, expected: int) -> bool: + manifest = output / "validation.jsonl" + summary = output / "summary.json" + if not manifest.is_file() or not summary.is_file(): + return False + records = [json.loads(line) for line in manifest.read_text().splitlines() if line.strip()] + if len(records) != expected: + return False + return all((output / record["image"]).is_file() for record in records) + + +def main() -> None: + root = Path(__file__).resolve().parents[1] + parser = argparse.ArgumentParser() + parser.add_argument("--output", type=Path, default=root / "data" / "cvbench_500") + parser.add_argument("--seed", type=int, default=42) + parser.add_argument("--per-config", type=int, default=250) + parser.add_argument("--keep-parquet", action="store_true") + args = parser.parse_args() + + output = args.output.resolve() + expected = 2 * args.per_config + if validate_existing(output, expected): + print(f"[cvbench] validated existing subset at {output}") + return + staging = output.with_name(output.name + ".tmp") + cache = output.with_name(output.name + ".parquet-cache") + if staging.exists(): + shutil.rmtree(staging) + staging.mkdir(parents=True) + cache.mkdir(parents=True, exist_ok=True) + + records: list[dict] = [] + selection_items: list[str] = [] + seen_image_hashes: set[bytes] = set() + for config, filename in SOURCE_FILES.items(): + parquet_path = cache / filename + url = ( + f"https://huggingface.co/datasets/{SOURCE_REPO}/resolve/" + f"{SOURCE_REVISION}/{filename}" + ) + download_direct(url, parquet_path) + selected = select_rows( + parquet_path, + config, + args.per_config, + args.seed, + seen_image_hashes, + ) + records.extend(materialize_config(parquet_path, config, selected, staging)) + selection_items.extend(f"{config}:{row_index}" for row_index in selected) + + records.sort(key=lambda row: (row["config"], row["row_index"])) + manifest = staging / "validation.jsonl" + with manifest.open("w", encoding="utf-8") as handle: + for record in records: + handle.write(json.dumps(record, ensure_ascii=False) + "\n") + + by_type = Counter(record["config"] for record in records) + by_task = Counter(f"{record['config']}/{record['task']}" for record in records) + answer_counts = Counter(record["answer"] for record in records) + summary = { + "source_repo": SOURCE_REPO, + "source_revision": SOURCE_REVISION, + "source_split": "test", + "seed": args.seed, + "sampling": "task-stratified proportional without replacement; unique image bytes", + "rows": len(records), + "unique_images": len(seen_image_hashes), + "counts_by_type": dict(sorted(by_type.items())), + "counts_by_task": dict(sorted(by_task.items())), + "counts_by_answer": dict(sorted(answer_counts.items())), + "selection_sha256": hashlib.sha256("\n".join(selection_items).encode()).hexdigest(), + "created_utc": datetime.now(timezone.utc).isoformat(), + } + (staging / "summary.json").write_text( + json.dumps(summary, ensure_ascii=False, indent=2) + "\n", encoding="utf-8" + ) + if output.exists(): + raise FileExistsError( + f"incomplete output already exists at {output}; move it aside before rerunning" + ) + staging.replace(output) + if not args.keep_parquet: + shutil.rmtree(cache) + if not validate_existing(output, expected): + raise RuntimeError("materialized CV-Bench subset failed validation") + print(json.dumps(summary, ensure_ascii=False, indent=2)) + print(f"[cvbench] ready at {output}") + + +if __name__ == "__main__": + main() diff --git a/scripts/prepare_three_benchmarks.py b/scripts/prepare_three_benchmarks.py new file mode 100644 index 0000000000000000000000000000000000000000..30ab9adac5b9e965f2f74fbb669f38bf315abacc --- /dev/null +++ b/scripts/prepare_three_benchmarks.py @@ -0,0 +1,305 @@ +#!/usr/bin/env python3 +"""Prepare pinned CV-Bench, BLINK-val, and VStar data as auditable JSONL manifests.""" + +from __future__ import annotations + +import argparse +import hashlib +import io +import json +import re +from collections import Counter +from pathlib import Path +from typing import Any, Iterable + +import pyarrow.parquet as pq +from PIL import Image + + +REVISIONS = { + "cvbench": "bc284db50d036958861cb60cdd7b77612052ce0d", + "blink": "a3666eb249237ba3d5eca8db21176cc47967e040", + "vstar": "d9ae62c903da0c98336e85c5ee89cd863b04b4da", +} +IMAGE_EXTENSIONS = { + "BMP": ".bmp", + "GIF": ".gif", + "JPEG": ".jpg", + "PNG": ".png", + "TIFF": ".tiff", + "WEBP": ".webp", +} +OPTION_RE = re.compile(r"^\s*\(?([A-Z])\)?\s*$", re.IGNORECASE) + + +def _sha256(path: Path) -> str: + digest = hashlib.sha256() + with path.open("rb") as handle: + for chunk in iter(lambda: handle.read(8 * 1024 * 1024), b""): + digest.update(chunk) + return digest.hexdigest() + + +def _write_json(path: Path, value: Any) -> None: + path.write_text( + json.dumps(value, ensure_ascii=False, indent=2, sort_keys=True) + "\n", + encoding="utf-8", + ) + + +def _write_manifest(output_dir: Path, records: list[dict], metadata: dict) -> None: + output_dir.mkdir(parents=True, exist_ok=True) + manifest = output_dir / "manifest.jsonl" + with manifest.open("w", encoding="utf-8") as handle: + for record in records: + handle.write(json.dumps(record, ensure_ascii=False) + "\n") + metadata = { + **metadata, + "samples": len(records), + "manifest_sha256": _sha256(manifest), + "config_counts": dict(sorted(Counter(row["config"] for row in records).items())), + "image_count": sum(len(row["images"]) for row in records), + } + _write_json(output_dir / "metadata.json", metadata) + + +def _expected(answer: Any, choices: list[Any]) -> str: + match = OPTION_RE.fullmatch(str(answer)) + if not match: + raise ValueError(f"Answer is not an option letter: {answer!r}") + letter = match.group(1).upper() + if ord(letter) - ord("A") >= len(choices): + raise ValueError(f"Answer {letter} is outside {len(choices)} choices") + return letter + + +def _image_extension(data: bytes, suggested: str | None = None) -> str: + if suggested: + suffix = Path(suggested).suffix.lower() + if suffix in {".jpg", ".jpeg", ".png", ".webp", ".bmp", ".gif", ".tif", ".tiff"}: + return ".jpg" if suffix == ".jpeg" else suffix + with Image.open(io.BytesIO(data)) as image: + return IMAGE_EXTENSIONS.get(str(image.format).upper(), ".img") + + +def _save_embedded_image(value: dict, output_base: Path, stem: str) -> tuple[str, int, int]: + data = value.get("bytes") + if not data: + raise ValueError(f"Embedded image has no bytes: {value!r}") + extension = _image_extension(data, value.get("path")) + path = output_base / f"{stem}{extension}" + path.parent.mkdir(parents=True, exist_ok=True) + if not path.exists(): + path.write_bytes(data) + elif path.read_bytes() != data: + raise RuntimeError(f"Refusing to overwrite non-identical image: {path}") + with Image.open(io.BytesIO(data)) as image: + width, height = image.size + image.verify() + return path.name, width, height + + +def _iter_parquet(path: Path) -> Iterable[tuple[int, dict]]: + row_index = 0 + parquet = pq.ParquetFile(path) + for batch in parquet.iter_batches(batch_size=32): + for row in batch.to_pylist(): + yield row_index, row + row_index += 1 + + +def prepare_cvbench(raw: Path, output: Path) -> None: + records: list[dict] = [] + image_dir = output / "images" + sources = [("2D", raw / "test_2d.parquet"), ("3D", raw / "test_3d.parquet")] + for config, parquet in sources: + if not parquet.is_file(): + raise FileNotFoundError(parquet) + for row_index, row in _iter_parquet(parquet): + sample_id = f"{config}-{int(row['idx']):04d}" + filename, width, height = _save_embedded_image( + row["image"], image_dir, sample_id + ) + choices = [str(choice) for choice in row["choices"]] + _expected(row["answer"], choices) + records.append( + { + "sample_id": sample_id, + "benchmark": "cvbench", + "split": "test", + "config": config, + "task": str(row["task"]), + "row_index": len(records), + "source_row_index": row_index, + "images": [f"images/{filename}"], + "image_sizes": [[width, height]], + "question": str(row["question"]), + "choices": choices, + "answer": str(row["answer"]), + "prompt": str(row["prompt"]), + "source_idx": int(row["idx"]), + "source_filename": row.get("filename"), + } + ) + if len(records) != 2638 or Counter(row["config"] for row in records) != Counter({"2D": 1438, "3D": 1200}): + raise RuntimeError("CV-Bench count contract failed") + _write_manifest( + output, + records, + { + "dataset": "nyu-visionx/CV-Bench", + "revision": REVISIONS["cvbench"], + "split": "test", + "scope": "full official test", + }, + ) + + +def prepare_blink(raw: Path, output: Path) -> None: + records: list[dict] = [] + image_dir = output / "images" + parquets = sorted(raw.glob("*/val-*.parquet")) + if len(parquets) != 14: + raise RuntimeError(f"Expected 14 BLINK val parquet files, got {len(parquets)}") + for parquet in parquets: + config = parquet.parent.name + for source_row_index, row in _iter_parquet(parquet): + sample_id = str(row["idx"]) + image_paths: list[str] = [] + image_sizes: list[list[int]] = [] + for image_number in range(1, 5): + embedded = row.get(f"image_{image_number}") + if embedded is None: + continue + filename, width, height = _save_embedded_image( + embedded, + image_dir, + f"{config}__{sample_id}__{image_number}", + ) + image_paths.append(f"images/{filename}") + image_sizes.append([width, height]) + if not image_paths: + raise RuntimeError(f"BLINK sample has no images: {sample_id}") + choices = [str(choice) for choice in row["choices"]] + _expected(row["answer"], choices) + records.append( + { + "sample_id": sample_id, + "benchmark": "blink", + "split": "val", + "config": config, + "task": str(row["sub_task"]), + "row_index": len(records), + "source_row_index": source_row_index, + "images": image_paths, + "image_sizes": image_sizes, + "question": str(row["question"]), + "choices": choices, + "answer": str(row["answer"]), + "prompt": str(row["prompt"]), + } + ) + expected_counts = { + "Art_Style": 117, + "Counting": 120, + "Forensic_Detection": 132, + "Functional_Correspondence": 130, + "IQ_Test": 150, + "Jigsaw": 150, + "Multi-view_Reasoning": 133, + "Object_Localization": 122, + "Relative_Depth": 124, + "Relative_Reflectance": 134, + "Semantic_Correspondence": 139, + "Spatial_Relation": 143, + "Visual_Correspondence": 172, + "Visual_Similarity": 135, + } + if len(records) != 1901 or Counter(row["config"] for row in records) != Counter(expected_counts): + raise RuntimeError("BLINK val count contract failed") + _write_manifest( + output, + records, + { + "dataset": "BLINK-Benchmark/BLINK", + "revision": REVISIONS["blink"], + "split": "val", + "scope": "full official val; public test labels are hidden", + }, + ) + + +def _vstar_choices(text: str) -> list[str]: + matches = re.findall(r"(?m)^\s*\(([A-Z])\)\s*(.+?)\s*$", text) + if not matches: + matches = re.findall(r"(?m)^\s*([A-Z])[\.:]\s*(.+?)\s*$", text) + letters = [letter for letter, _ in matches] + expected_letters = [chr(ord("A") + index) for index in range(len(letters))] + if letters != expected_letters: + raise ValueError(f"Cannot parse contiguous VStar choices from: {text!r}") + return [choice for _, choice in matches] + + +def prepare_vstar(raw: Path, output: Path) -> None: + questions = raw / "test_questions.jsonl" + if not questions.is_file(): + raise FileNotFoundError(questions) + records: list[dict] = [] + for source_row_index, line in enumerate(questions.read_text(encoding="utf-8").splitlines()): + if not line.strip(): + continue + row = json.loads(line) + image = (raw / str(row["image"])).resolve() + if not image.is_file() or raw.resolve() not in image.parents: + raise FileNotFoundError(image) + with Image.open(image) as opened: + width, height = opened.size + opened.verify() + choices = _vstar_choices(str(row["text"])) + _expected(row["label"], choices) + records.append( + { + "sample_id": str(row["question_id"]), + "benchmark": "vstar", + "split": "test", + "config": str(row["category"]), + "task": str(row["category"]), + "row_index": len(records), + "source_row_index": source_row_index, + "images": [str(image)], + "image_sizes": [[width, height]], + "question": str(row["text"]).split("\n", 1)[0], + "choices": choices, + "answer": str(row["label"]), + "prompt": str(row["text"]), + } + ) + if len(records) != 191: + raise RuntimeError(f"Expected 191 VStar rows, got {len(records)}") + _write_manifest( + output, + records, + { + "dataset": "craigwu/vstar_bench", + "revision": REVISIONS["vstar"], + "split": "test", + "scope": "full official test", + }, + ) + + +def main() -> None: + parser = argparse.ArgumentParser() + parser.add_argument("--raw-root", type=Path, default=Path("data/benchmarks/raw")) + parser.add_argument("--output-root", type=Path, default=Path("data/benchmarks/prepared")) + args = parser.parse_args() + raw = args.raw_root.resolve() + output = args.output_root.resolve() + prepare_cvbench(raw / "CV-Bench", output / "cvbench_full") + prepare_blink(raw / "BLINK", output / "blink_val") + prepare_vstar(raw / "vstar_bench", output / "vstar_test") + print(f"Prepared all benchmarks under {output}") + + +if __name__ == "__main__": + main() diff --git a/scripts/render_config.py b/scripts/render_config.py index e0b83469721499eb0b3036a91b5c9d6406444def..f447dffd721ec45240b61bcc5c656ff944ad7b7e 100644 --- a/scripts/render_config.py +++ b/scripts/render_config.py @@ -8,11 +8,14 @@ from pathlib import Path def main() -> None: parser = argparse.ArgumentParser() parser.add_argument("--root", type=Path, default=Path(__file__).resolve().parents[1]) + parser.add_argument("--template", type=Path, default=Path("configs/stage2_covt.template.yaml")) + parser.add_argument("--output", type=Path, default=Path("configs/stage2_covt.yaml")) args = parser.parse_args() root = args.root.resolve() - template = root / "configs" / "stage2_covt.template.yaml" - output = root / "configs" / "stage2_covt.yaml" + template = args.template if args.template.is_absolute() else root / args.template + output = args.output if args.output.is_absolute() else root / args.output content = template.read_text(encoding="utf-8").replace("__UMM_ROOT__", str(root)) + output.parent.mkdir(parents=True, exist_ok=True) output.write_text(content, encoding="utf-8") print(output) diff --git a/scripts/render_manifest.py b/scripts/render_manifest.py index 71f3bebba4cd2725eef4f786975fa46eed08c68f..cb2cb7bfce5ca4a03a4cd51fd17ea9502d42fb6b 100644 --- a/scripts/render_manifest.py +++ b/scripts/render_manifest.py @@ -2,12 +2,21 @@ from __future__ import annotations import hashlib +import os from pathlib import Path ROOT = Path(__file__).resolve().parents[1] -EXCLUDED_PARTS = {".env", ".cache", "outputs", "secrets", "images", "__pycache__"} -EXCLUDED_FILES = {Path("configs/stage2_covt.yaml")} +EXCLUDED_PARTS = {".cache", "secrets", "images", "__pycache__"} +EXCLUDED_TOP_LEVEL = {".env", "outputs", "logs", "tmp"} +EXCLUDED_FILES = { + Path("configs/stage2_covt.yaml"), + Path("configs/stage2_covt_from3k_bcd_2k.yaml"), +} +PUBLISHED_MERGED_CHECKPOINTS = { + "checkpoint-7000-merged", + "checkpoint-9000-merged", +} def digest(path: Path) -> str: @@ -19,6 +28,15 @@ def digest(path: Path) -> str: value = sidecar.read_text(encoding="utf-8").split()[0] if len(value) == 64: return value + # Dense checkpoint directories carry a verified per-directory checksum + # file. Reuse it so rebuilding the repository manifest does not reread + # multi-gigabyte model weights unnecessarily. + sidecar = path.parent / "SHA256SUMS" + if path.name != "SHA256SUMS" and sidecar.is_file(): + for line in sidecar.read_text(encoding="utf-8").splitlines(): + value, _, filename = line.partition(" ") + if filename == path.name and len(value) == 64: + return value hasher = hashlib.sha256() with path.open("rb") as handle: for chunk in iter(lambda: handle.read(16 * 1024 * 1024), b""): @@ -29,17 +47,40 @@ def digest(path: Path) -> str: def main() -> None: output = ROOT / "MANIFEST.sha256" files = [] - for path in ROOT.rglob("*"): - if not path.is_file() or path == output: - continue - rel = path.relative_to(ROOT) - if any(part in EXCLUDED_PARTS or part.endswith(".egg-info") for part in rel.parts): - continue - if rel in EXCLUDED_FILES: - continue - if rel.suffix == ".pyc": - continue - files.append((rel, path)) + for current_root, dirnames, filenames in os.walk(ROOT, topdown=True): + current = Path(current_root) + current_rel = current.relative_to(ROOT) + + # Prune excluded trees before walking them. This is essential for the + # packed environment, 756k unpacked images, and raw DeepSpeed states. + if current == ROOT: + dirnames[:] = [name for name in dirnames if name not in EXCLUDED_TOP_LEVEL] + dirnames[:] = [ + name + for name in dirnames + if name not in EXCLUDED_PARTS and not name.endswith(".egg-info") + ] + + if current_rel.parts[:2] == ("models", "ckpts"): + if len(current_rel.parts) == 3: + # At an experiment root, descend only into an explicit merged/ + # directory. Raw checkpoint-* and eval state remain local. + dirnames[:] = [name for name in dirnames if name == "merged"] + elif current_rel.parts[-1:] == ("merged",): + dirnames[:] = [ + name for name in dirnames if name in PUBLISHED_MERGED_CHECKPOINTS + ] + + for filename in filenames: + path = current / filename + if path == output or not path.is_file(): + continue + rel = path.relative_to(ROOT) + if rel in EXCLUDED_FILES or rel.suffix == ".pyc": + continue + if rel.parts[:2] == ("models", "ckpts") and "merged" not in rel.parts: + continue + files.append((rel, path)) with output.open("w", encoding="utf-8") as handle: for rel, path in sorted(files): handle.write(f"{digest(path)} {rel.as_posix()}\n") diff --git a/scripts/run_ckpt7000_three_benchmarks.sh b/scripts/run_ckpt7000_three_benchmarks.sh new file mode 100644 index 0000000000000000000000000000000000000000..920e2da3c573fc51eb3cd6cd26325d2b035b21a3 --- /dev/null +++ b/scripts/run_ckpt7000_three_benchmarks.sh @@ -0,0 +1,60 @@ +#!/usr/bin/env bash +set -euo pipefail + +SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" +UMM_ROOT="$(cd "${SCRIPT_DIR}/.." && pwd)" +cd "${UMM_ROOT}" + +unset http_proxy https_proxy HTTP_PROXY HTTPS_PROXY all_proxy ALL_PROXY + +MODEL_PATH="${UMM_ROOT}/models/ckpts/stage2_covt_from3k_bcd_2k/merged/checkpoint-7000-merged" +OUTPUT_ROOT="${UMM_ROOT}/outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000" + +run_benchmark() { + local benchmark="$1" + local manifest="$2" + local output_name="$3" + local port="$4" + local process_name="$5" + local swanlab_name="$6" + + echo "[three-bench] START benchmark=${benchmark} utc=$(date -u +%FT%TZ)" + BENCHMARK="${benchmark}" \ + CHECKPOINT_STEP=7000 \ + MODEL_PATH="${MODEL_PATH}" \ + MANIFEST="${manifest}" \ + OUTPUT_DIR="${OUTPUT_ROOT}/${output_name}" \ + MASTER_PORT="${port}" \ + PROCESS_NAME="${process_name}" \ + MAX_NEW_TOKENS=256 \ + SWANLAB_PROJECT_NAME="unified-model" \ + SWANLAB_RUN_NAME="${swanlab_name}" \ + bash "${UMM_ROOT}/scripts/eval_multibench_8gpu.sh" + echo "[three-bench] DONE benchmark=${benchmark} utc=$(date -u +%FT%TZ)" +} + +run_benchmark \ + cvbench \ + "${UMM_ROOT}/data/benchmarks/prepared/cvbench_full/manifest.jsonl" \ + cvbench_full_test \ + 29710 \ + H3_CV_7K \ + H3_LoRA-ckpt7000-CVBench-full + +run_benchmark \ + blink \ + "${UMM_ROOT}/data/benchmarks/prepared/blink_val/manifest.jsonl" \ + blink_full_val \ + 29711 \ + H3_BLINK_7K \ + H3_LoRA-ckpt7000-BLINK-val + +run_benchmark \ + vstar \ + "${UMM_ROOT}/data/benchmarks/prepared/vstar_test/manifest.jsonl" \ + vstar_full_test \ + 29712 \ + H3_VSTAR_7K \ + H3_LoRA-ckpt7000-VStar-test + +echo "THREE_BENCH_EXIT=0" diff --git a/scripts/run_vstar_diagnostic_sensitivity.sh b/scripts/run_vstar_diagnostic_sensitivity.sh new file mode 100644 index 0000000000000000000000000000000000000000..f278f97078ba8c887e7740fef39c29f5b4dc87ee --- /dev/null +++ b/scripts/run_vstar_diagnostic_sensitivity.sh @@ -0,0 +1,67 @@ +#!/usr/bin/env bash +set -euo pipefail + +SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" +UMM_ROOT="$(cd "${SCRIPT_DIR}/.." && pwd)" +cd "${UMM_ROOT}" + +unset http_proxy https_proxy HTTP_PROXY HTTPS_PROXY all_proxy ALL_PROXY + +export PYTHONPATH="${UMM_ROOT}/code/umm/runtime:${UMM_ROOT}/code/umm:${UMM_ROOT}/code/umm/stage2_covt:${UMM_ROOT}/third_party/transformers/src:${UMM_ROOT}/third_party/diffusers/src:${PYTHONPATH:-}" +export HF_HOME="${HF_HOME:-${UMM_ROOT}/cache/huggingface}" +export TORCH_HOME="${TORCH_HOME:-${UMM_ROOT}/cache/torch}" +export TMPDIR="${TMPDIR:-${UMM_ROOT}/tmp}" +export CUDA_VISIBLE_DEVICES="${CUDA_VISIBLE_DEVICES:-0,1,2,3,4,5,6,7}" +export TOKENIZERS_PARALLELISM=false +export OMP_NUM_THREADS="${OMP_NUM_THREADS:-4}" + +PYTHON_BIN="${PYTHON_BIN:-${UMM_ROOT}/.env/unvideo/bin/python}" +MODEL_PATH="${MODEL_PATH:-${UMM_ROOT}/models/ckpts/stage2_covt_from3k_bcd_2k/merged/checkpoint-7000-merged}" +MANIFEST="${UMM_ROOT}/data/benchmarks/prepared/vstar_test/manifest.jsonl" +RAW_ROOT="${UMM_ROOT}/data/benchmarks/raw/vstar_bench" +OUTPUT_ROOT="${UMM_ROOT}/outputs/evals/multibench/stage2_covt_from3k_bcd_2k-checkpoint-7000/vstar_diagnosis" + +run_eval() { + local output_name="$1" + local master_port="$2" + local process_name="$3" + shift 3 + local output_dir="${OUTPUT_ROOT}/${output_name}" + if [[ -e "${output_dir}" ]]; then + echo "Diagnostic output already exists: ${output_dir}" >&2 + exit 1 + fi + echo "[vstar-diagnostic] START ${output_name} utc=$(date -u +%FT%TZ)" + "${PYTHON_BIN}" -m torch.distributed.run \ + --standalone \ + --nnodes=1 \ + --nproc-per-node=8 \ + "--master-port=${master_port}" \ + "${UMM_ROOT}/code/umm/stage2_covt/eval_multibench.py" \ + --model-path "${MODEL_PATH}" \ + --manifest "${MANIFEST}" \ + --output-dir "${output_dir}" \ + --benchmark vstar \ + --checkpoint-step 7000 \ + --max-new-tokens 256 \ + --process-name "${process_name}" \ + "$@" + echo "[vstar-diagnostic] DONE ${output_name} utc=$(date -u +%FT%TZ)" +} + +# Preserve aspect ratio and let the processor use up to ~0.8 MP instead of +# forcing every high-resolution image into a distorted 448x448 square. +run_eval global_dynamic_0p8mp 29731 H3_VSTAR_DYN \ + --image-resized-width 0 \ + --image-resized-height 0 \ + --image-min-pixels 200704 \ + --image-max-pixels 802816 + +# Diagnostic upper bound for localization: use the ground-truth target boxes +# to create one context crop, then run the unchanged generation/scoring path. +run_eval oracle_crop_fixed448 29732 H3_VSTAR_CROP \ + --vstar-oracle-crop \ + --vstar-raw-root "${RAW_ROOT}" \ + --oracle-context-scale 2.0 + +echo "VSTAR_DIAGNOSTIC_SENSITIVITY_EXIT=0" diff --git a/scripts/trace_cvbench_cases.py b/scripts/trace_cvbench_cases.py new file mode 100644 index 0000000000000000000000000000000000000000..a5e1390bd70d5a75b09040bbe626f9a186251440 --- /dev/null +++ b/scripts/trace_cvbench_cases.py @@ -0,0 +1,266 @@ +#!/usr/bin/env python3 +"""Capture observable token-by-token generation traces for selected CV-Bench cases.""" + +from __future__ import annotations + +import argparse +import ctypes +import json +from datetime import datetime, timezone +from pathlib import Path + +import torch +from transformers import AutoProcessor + +from cvbench_eval import CVBenchEvalCallback, _expected_choice, extract_choice +from models.blip3o.model.language_model.covt_qwen_stage2_van import ( + CoVTVanForConditionalGeneration, +) + + +ANCHORS = ["sam", "dino", "depth", "pidinet", "siglip"] +COVT_INSTRUCTION = ( + "When given a question: {Question} and its corresponding image," + "you need to output your reasoning process within tags and provide " + "the final answer within tags." + "The reasoning process should include some visual chain-of-thought tokens, such as " + "<|dino_pad|>, <|depth_pad|>, <|pidinet_pad|>, and <|siglip_pad|>. You must adhere " + "to this format when producing the output." + "i.e., thinking process here " + "..." +) + + +def _set_process_name(name: str) -> None: + try: + ctypes.CDLL(None).prctl(15, name.encode()[:15], 0, 0, 0) + except Exception: + pass + + +def _candidate(tokenizer, token_id: int, probability: float) -> dict: + return { + "token_id": token_id, + "token": tokenizer.convert_ids_to_tokens(token_id), + "text_piece": tokenizer.decode( + [token_id], skip_special_tokens=False, clean_up_tokenization_spaces=False + ), + "probability": probability, + } + + +def _generate_trace(model, processor, inputs: dict, *, max_new_tokens: int, top_k: int) -> dict: + device = next(model.parameters()).device + dtype = next(model.parameters()).dtype + inputs = {key: value.to(device) for key, value in inputs.items()} + if "pixel_values" in inputs: + inputs["pixel_values"] = inputs["pixel_values"].to(dtype=dtype) + if "pixel_values_videos" in inputs: + inputs["pixel_values_videos"] = inputs["pixel_values_videos"].to(dtype=dtype) + + generation_inputs = { + "input_ids": inputs["input_ids"], + "attention_mask": inputs.get("attention_mask"), + "max_new_tokens": max_new_tokens, + "do_sample": False, + "use_cache": True, + "temperature": 1.0, + "top_p": 1.0, + "top_k": 50, + "pad_token_id": processor.tokenizer.pad_token_id + or processor.tokenizer.eos_token_id, + "eos_token_id": processor.tokenizer.eos_token_id, + "return_dict_in_generate": True, + "output_scores": True, + } + for key in ( + "pixel_values", + "image_grid_thw", + "pixel_values_videos", + "video_grid_thw", + "mm_token_type_ids", + ): + if key in inputs: + generation_inputs[key] = inputs[key] + + previous_rope_deltas = model.rope_deltas + model.rope_deltas = None + try: + output = model.generate(**generation_inputs) + finally: + model.rope_deltas = previous_rope_deltas + + prompt_length = int(inputs["input_ids"].shape[1]) + generated_ids = output.sequences[0, prompt_length:] + steps = [] + for position, (token_id_tensor, score_tensor) in enumerate( + zip(generated_ids, output.scores), start=1 + ): + token_id = int(token_id_tensor.item()) + logits = score_tensor[0].float() + log_denominator = torch.logsumexp(logits, dim=-1) + selected_probability = float(torch.exp(logits[token_id] - log_denominator).item()) + top_values, top_ids = torch.topk(logits, k=top_k) + candidates = [ + _candidate( + processor.tokenizer, + int(candidate_id.item()), + float(torch.exp(value - log_denominator).item()), + ) + for value, candidate_id in zip(top_values, top_ids) + ] + selected = _candidate(processor.tokenizer, token_id, selected_probability) + steps.append({"position": position, "selected": selected, "top_candidates": candidates}) + + raw_text = processor.tokenizer.decode( + generated_ids, + skip_special_tokens=False, + clean_up_tokenization_spaces=False, + ) + visible_text = processor.tokenizer.decode( + generated_ids, + skip_special_tokens=True, + clean_up_tokenization_spaces=False, + ) + return { + "prompt_token_count": prompt_length, + "generated_token_count": len(steps), + "generated_token_ids": [int(value) for value in generated_ids.tolist()], + "raw_text_with_special_tokens": raw_text, + "visible_text_skip_special_tokens": visible_text, + "steps": steps, + } + + +def main() -> None: + parser = argparse.ArgumentParser() + parser.add_argument("--model-path", type=Path, required=True) + parser.add_argument("--manifest", type=Path, required=True) + parser.add_argument("--sample-ids", nargs="+", required=True) + parser.add_argument("--output", type=Path, required=True) + parser.add_argument("--max-new-tokens", type=int, default=64) + parser.add_argument("--top-k", type=int, default=5) + parser.add_argument( + "--modes", + nargs="+", + choices=("faithful_eval", "training_style", "covt_required"), + default=("faithful_eval", "training_style"), + ) + args = parser.parse_args() + + _set_process_name("H3_TRACE") + model_path = args.model_path.resolve() + manifest_path = args.manifest.resolve() + output_path = args.output.resolve() + records = [ + json.loads(line) + for line in manifest_path.read_text(encoding="utf-8").splitlines() + if line + ] + by_id = {record["sample_id"]: record for record in records} + missing = [sample_id for sample_id in args.sample_ids if sample_id not in by_id] + if missing: + raise KeyError(f"Unknown sample IDs: {missing}") + + processor = AutoProcessor.from_pretrained( + model_path, local_files_only=True, trust_remote_code=True + ) + model = CoVTVanForConditionalGeneration.from_pretrained( + model_path, + local_files_only=True, + torch_dtype=torch.bfloat16, + attn_implementation="flash_attention_2", + low_cpu_mem_usage=True, + device_map={"": 0}, + ) + model.get_anchor_model_ids(ANCHORS, load_anchor_models=False) + model.config.use_cache = True + model.eval() + + evaluator = CVBenchEvalCallback( + processor=processor, + manifest_path=str(manifest_path), + every_n_steps=1, + max_new_tokens=args.max_new_tokens, + fail_fast=True, + ) + evaluator._load_records() + results = [] + with torch.inference_mode(): + for sample_id in args.sample_ids: + record = next(row for row in evaluator._records if row["sample_id"] == sample_id) + for mode in args.modes: + if mode == "faithful_eval": + prompt = ( + str(record["prompt"]) + + "\nReturn the selected option in tags, for example " + + "(A)." + ) + elif mode == "covt_required": + # Keep this byte-for-byte aligned with CoVTVan.tokenize_fn's + # intended inference wrapper so special CoVT tokens can be audited. + prompt = COVT_INSTRUCTION.format(Question=str(record["prompt"])) + else: + prompt = str(record["prompt"]) + from PIL import Image + + with Image.open(record["_image_path"]) as opened: + inputs = evaluator._tokenize(prompt, opened.convert("RGB")) + trace = _generate_trace( + model, + processor, + inputs, + max_new_tokens=args.max_new_tokens, + top_k=args.top_k, + ) + predicted = extract_choice( + trace["visible_text_skip_special_tokens"], record["choices"] + ) + expected = _expected_choice(record["answer"]) + results.append( + { + "sample_id": sample_id, + "config": record["config"], + "task": record["task"], + "image": record["image"], + "question": record["question"], + "choices": record["choices"], + "expected": expected, + "mode": mode, + "prompt": prompt, + "predicted": predicted, + "correct": predicted == expected, + "trace": trace, + } + ) + print( + f"[trace] {sample_id}/{mode}: " + f"raw={trace['raw_text_with_special_tokens']!r} " + f"predicted={predicted} expected={expected}", + flush=True, + ) + + payload = { + "created_utc": datetime.now(timezone.utc).isoformat(), + "model_path": str(model_path), + "manifest": str(manifest_path), + "dtype": "bfloat16", + "attention": "flash_attention_2", + "decoding": "greedy", + "max_new_tokens": args.max_new_tokens, + "top_k": args.top_k, + "scope_note": ( + "Observable emitted-token trace only. It does not expose or claim to reconstruct " + "the model's hidden-state reasoning process." + ), + "results": results, + } + output_path.parent.mkdir(parents=True, exist_ok=True) + output_path.write_text( + json.dumps(payload, ensure_ascii=False, indent=2) + "\n", encoding="utf-8" + ) + print(f"[trace] saved {output_path}") + + +if __name__ == "__main__": + main() diff --git a/scripts/upload_eval_to_swanlab.py b/scripts/upload_eval_to_swanlab.py new file mode 100644 index 0000000000000000000000000000000000000000..7666b52f889ce523de075aefc2a7352846cc8761 --- /dev/null +++ b/scripts/upload_eval_to_swanlab.py @@ -0,0 +1,48 @@ +#!/usr/bin/env python3 +"""Upload an already-complete local evaluation result to SwanLab.""" + +from __future__ import annotations + +import argparse +import json +from pathlib import Path + +import swanlab + + +def main() -> None: + parser = argparse.ArgumentParser() + parser.add_argument("--result-dir", type=Path, required=True) + parser.add_argument("--run-name", required=True) + parser.add_argument("--project", default="unified-model") + args = parser.parse_args() + result_dir = args.result_dir.resolve() + payload = json.loads((result_dir / "metrics.json").read_text(encoding="utf-8")) + metadata = payload["metadata"] + metrics = payload["metrics"] + benchmark = str(metadata["benchmark"]) + run = swanlab.init( + project=args.project, + name=args.run_name, + log_dir=str(result_dir / "swanlab_retry"), + config=metadata, + tags=[benchmark, "evaluation", "checkpoint-7000", "8GPU"], + description=f"Judge-free exact-match evaluation on {benchmark}; uploaded from validated local artifacts.", + ) + swanlab.log(metrics, step=int(metadata["checkpoint_step"])) + status = { + "enabled": True, + "retry_upload": True, + "run_id": getattr(run, "id", None), + "run_url": str(getattr(run, "url", "") or "") or None, + } + swanlab.finish() + (result_dir / "swanlab.json").write_text( + json.dumps(status, ensure_ascii=False, indent=2, sort_keys=True) + "\n", + encoding="utf-8", + ) + print(json.dumps(status, sort_keys=True)) + + +if __name__ == "__main__": + main() diff --git a/scripts/upload_hf.sh b/scripts/upload_hf.sh index 179c94cd6847a44d18914d2d604386417404f52d..2ea2f0e41cf1ac4a33830f6e96e6462e01c56e88 100644 --- a/scripts/upload_hf.sh +++ b/scripts/upload_hf.sh @@ -2,10 +2,14 @@ set -euo pipefail UMM_ROOT="${UMM_ROOT:-$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)}" -HF_BIN="${HF_BIN:-/rczhang/rczhang/conda_packs/unvideo/bin/hf}" +HF_BIN="${HF_BIN:-${UMM_ROOT}/.env/unvideo/bin/hf}" REPO_ID="${REPO_ID:-Orangerl/umm}" unset http_proxy https_proxy HTTP_PROXY HTTPS_PROXY all_proxy ALL_PROXY +if [[ ! -x "${HF_BIN}" ]]; then + HF_BIN="$(command -v hf)" +fi + exec "${HF_BIN}" upload-large-folder "${REPO_ID}" "${UMM_ROOT}" \ --repo-type model \ --num-workers "${HF_UPLOAD_WORKERS:-8}" \ @@ -13,8 +17,12 @@ exec "${HF_BIN}" upload-large-folder "${REPO_ID}" "${UMM_ROOT}" \ --exclude '.cache/**' \ --exclude 'data/covt/images/**' \ --exclude 'outputs/**' \ + --exclude 'logs/**' \ + --exclude 'tmp/**' \ + --exclude 'models/ckpts/**' \ --exclude 'secrets/**' \ --exclude 'configs/stage2_covt.yaml' \ + --exclude 'configs/stage2_covt_from3k_bcd_2k.yaml' \ --exclude '**/__pycache__/**' \ --exclude '**/*.pyc' \ --exclude '**/*.egg-info/**' \ diff --git a/scripts/validate_covt_references.py b/scripts/validate_covt_references.py new file mode 100644 index 0000000000000000000000000000000000000000..22fe2876315deefd0ff460241c75cb09d859023f --- /dev/null +++ b/scripts/validate_covt_references.py @@ -0,0 +1,67 @@ +#!/usr/bin/env python3 +"""Verify that every CoVT image reference resolves, with no extra image files.""" + +from __future__ import annotations + +import json +import os +import re +from pathlib import Path + + +ROOT = Path(__file__).resolve().parents[1] +IMAGE_FIELD = re.compile(r'"image"\s*:\s*"([^"\\]*(?:\\.[^"\\]*)*)"') + + +def main() -> None: + covt = ROOT / "data" / "covt" + stats = json.loads((covt / "stats.json").read_text(encoding="utf-8")) + + reference_count = 0 + referenced: set[str] = set() + with (covt / "data.json").open(encoding="utf-8") as handle: + for line_number, line in enumerate(handle, 1): + match = IMAGE_FIELD.search(line) + if match is None: + continue + try: + image_name = json.loads(f'"{match.group(1)}"') + except json.JSONDecodeError as exc: + raise ValueError( + f"invalid escaped image name at data.json line {line_number}" + ) from exc + reference_count += 1 + referenced.add(image_name) + + # The materialized image directory is contractually flat. os.listdir avoids + # hundreds of thousands of remote per-file stat calls on the Weka mount. + actual = set(os.listdir(covt / "images")) + missing = sorted(referenced - actual) + extra = sorted(actual - referenced) + + print(f"record_image_refs={reference_count}") + print(f"unique_referenced_images={len(referenced)}") + print(f"actual_directory_entries={len(actual)}") + print(f"duplicate_reference_count={reference_count - len(referenced)}") + print(f"missing_references={len(missing)}") + print(f"unreferenced_entries={len(extra)}") + if missing: + print(f"first_missing={missing[:10]}") + if extra: + print(f"first_unreferenced={extra[:10]}") + + if reference_count != int(stats["rows"]): + raise AssertionError( + f"image-bearing row count {reference_count} != {stats['rows']}" + ) + if len(referenced) != int(stats["image_count"]): + raise AssertionError( + f"unique references {len(referenced)} != {stats['image_count']}" + ) + if missing or extra: + raise AssertionError("CoVT image reference closure is not exact") + print("covt_reference_closure=PASS") + + +if __name__ == "__main__": + main() diff --git a/scripts/validate_cvbench_results.py b/scripts/validate_cvbench_results.py new file mode 100644 index 0000000000000000000000000000000000000000..7e6aa21f183ff558c8645f8bb6aa01bf3f740186 --- /dev/null +++ b/scripts/validate_cvbench_results.py @@ -0,0 +1,178 @@ +#!/usr/bin/env python3 +"""Independent integrity and metric audit for a CV-Bench-500 evaluation.""" + +from __future__ import annotations + +import argparse +import hashlib +import json +import math +import re +from collections import Counter, defaultdict +from pathlib import Path + +from PIL import Image + + +EXPECTED_SELECTION_HASH = "da5ca19b4a65b4df7f45bea069db43c76e48d9a33adc5a224d1abc64dfce1b92" +EXPECTED_SOURCE_REVISION = "bc284db50d036958861cb60cdd7b77612052ce0d" +TASK_COUNTS = { + ("2D", "Count"): 137, + ("2D", "Relation"): 113, + ("3D", "Depth"): 125, + ("3D", "Distance"): 125, +} + + +def _jsonl(path: Path) -> list[dict]: + return [json.loads(line) for line in path.read_text(encoding="utf-8").splitlines() if line] + + +def _close(actual: float, expected: float) -> bool: + return math.isclose(float(actual), float(expected), rel_tol=0.0, abs_tol=1e-12) + + +def main() -> None: + parser = argparse.ArgumentParser() + parser.add_argument("--dataset-dir", type=Path, required=True) + parser.add_argument("--eval-dir", type=Path, required=True) + args = parser.parse_args() + dataset = args.dataset_dir.resolve() + evaluation = args.eval_dir.resolve() + + manifest = _jsonl(dataset / "validation.jsonl") + summary = json.loads((dataset / "summary.json").read_text(encoding="utf-8")) + results = _jsonl(evaluation / "results.jsonl") + metrics_artifact = json.loads((evaluation / "metrics.json").read_text(encoding="utf-8")) + reported = metrics_artifact["metrics"] + + if len(manifest) != 500 or len(results) != 500: + raise AssertionError(f"Expected 500 manifest/results rows, got {len(manifest)}/{len(results)}") + manifest_by_id = {row["sample_id"]: row for row in manifest} + result_by_id = {row["sample_id"]: row for row in results} + if len(manifest_by_id) != 500 or len(result_by_id) != 500: + raise AssertionError("Duplicate sample_id in manifest or results") + if set(manifest_by_id) != set(result_by_id): + raise AssertionError("Manifest/result sample_id coverage differs") + + selection_items = [f"{row['config']}:{row['row_index']}" for row in manifest] + selection_hash = hashlib.sha256("\n".join(selection_items).encode()).hexdigest() + if selection_hash != EXPECTED_SELECTION_HASH or summary["selection_sha256"] != selection_hash: + raise AssertionError(f"Selection fingerprint mismatch: {selection_hash}") + if summary["source_revision"] != EXPECTED_SOURCE_REVISION: + raise AssertionError(f"Unexpected CV-Bench source revision: {summary['source_revision']}") + + image_hashes: set[str] = set() + manifest_counts = Counter() + for row in manifest: + key = (str(row["config"]), str(row["task"])) + manifest_counts[key] += 1 + image_path = (dataset / row["image"]).resolve() + if dataset not in image_path.parents or not image_path.is_file(): + raise FileNotFoundError(f"Invalid image path: {image_path}") + raw = image_path.read_bytes() + image_hashes.add(hashlib.sha256(raw).hexdigest()) + with Image.open(image_path) as image: + if image.size != (int(row["image_width"]), int(row["image_height"])): + raise AssertionError(f"Image dimension mismatch: {row['sample_id']}") + image.verify() + expected_match = re.fullmatch(r"\(([A-Z])\)", str(row["answer"])) + if not expected_match: + raise AssertionError(f"Malformed answer: {row['sample_id']}={row['answer']!r}") + expected_index = ord(expected_match.group(1)) - ord("A") + if expected_index >= len(row["choices"]): + raise AssertionError(f"Answer outside choices: {row['sample_id']}") + if manifest_counts != Counter(TASK_COUNTS) or len(image_hashes) != 500: + raise AssertionError( + f"Dataset coverage mismatch: tasks={dict(manifest_counts)}, unique_images={len(image_hashes)}" + ) + + shard_rows: list[dict] = [] + for shard_path in sorted(evaluation.glob("rank_*.jsonl")): + shard_rows.extend(_jsonl(shard_path)) + if len(shard_rows) != 500 or {row["sample_id"] for row in shard_rows} != set(result_by_id): + raise AssertionError("Per-rank shards do not cover the final result set exactly") + + grouped: dict[tuple[str, str], list[dict]] = defaultdict(list) + correct_total = 0 + parsed_total = 0 + error_total = 0 + for sample_id, result in result_by_id.items(): + source = manifest_by_id[sample_id] + expected = re.fullmatch(r"\(([A-Z])\)", source["answer"]).group(1) + if result["config"] != source["config"] or result["task"] != source["task"]: + raise AssertionError(f"Result grouping mismatch: {sample_id}") + if result["expected"] != expected: + raise AssertionError(f"Result label mismatch: {sample_id}") + error_total += int(result["error"] is not None) + parsed_total += int(result["predicted"] is not None) + if result["predicted"] is not None and result["predicted"] not in [ + chr(ord("A") + i) for i in range(len(source["choices"])) + ]: + raise AssertionError(f"Predicted option outside choices: {sample_id}") + independently_correct = result["predicted"] == expected + if bool(result["correct"]) != independently_correct: + raise AssertionError(f"Incorrect correctness flag: {sample_id}") + correct_total += int(independently_correct) + grouped[(source["config"], source["task"])].append(result) + + task_numerators = { + key: sum(bool(row["correct"]) for row in rows) for key, rows in grouped.items() + } + task_accuracy = {key: task_numerators[key] / TASK_COUNTS[key] for key in TASK_COUNTS} + independently_computed = { + "eval/cvbench_samples": 500.0, + "eval/cvbench_errors": float(error_total), + "eval/cvbench_parse_rate": parsed_total / 500, + "eval/cvbench_accuracy": correct_total / 500, + "eval/cvbench_2d_accuracy": ( + task_numerators[("2D", "Count")] + task_numerators[("2D", "Relation")] + ) / 250, + "eval/cvbench_3d_accuracy": ( + task_numerators[("3D", "Depth")] + task_numerators[("3D", "Distance")] + ) / 250, + "eval/cvbench_2d_count_accuracy": task_accuracy[("2D", "Count")], + "eval/cvbench_2d_relation_accuracy": task_accuracy[("2D", "Relation")], + "eval/cvbench_3d_depth_accuracy": task_accuracy[("3D", "Depth")], + "eval/cvbench_3d_distance_accuracy": task_accuracy[("3D", "Distance")], + } + independently_computed["eval/cvbench_2d_task_macro_accuracy"] = ( + task_accuracy[("2D", "Count")] + task_accuracy[("2D", "Relation")] + ) / 2 + independently_computed["eval/cvbench_3d_task_macro_accuracy"] = ( + task_accuracy[("3D", "Depth")] + task_accuracy[("3D", "Distance")] + ) / 2 + independently_computed["eval/cvbench_task_macro_accuracy"] = sum(task_accuracy.values()) / 4 + + for key, expected in independently_computed.items(): + if key not in reported or not _close(reported[key], expected): + raise AssertionError(f"Metric mismatch {key}: reported={reported.get(key)}, expected={expected}") + + swanlab = json.loads((evaluation / "swanlab.json").read_text(encoding="utf-8")) + if not swanlab.get("enabled") or not swanlab.get("run_id") or swanlab.get("error"): + raise AssertionError(f"SwanLab logging is incomplete: {swanlab}") + + report = { + "assessment": "ready_to_share", + "dataset_rows": len(manifest), + "unique_sample_ids": len(manifest_by_id), + "unique_image_bytes": len(image_hashes), + "selection_sha256": selection_hash, + "source_revision": summary["source_revision"], + "task_denominators": {f"{key[0]}/{key[1]}": value for key, value in TASK_COUNTS.items()}, + "task_numerators": {f"{key[0]}/{key[1]}": task_numerators[key] for key in TASK_COUNTS}, + "correct_total": correct_total, + "parsed_total": parsed_total, + "error_total": error_total, + "metrics_verified": independently_computed, + "swanlab_run_id": swanlab["run_id"], + } + (evaluation / "validation_report.json").write_text( + json.dumps(report, ensure_ascii=False, indent=2, sort_keys=True) + "\n", + encoding="utf-8", + ) + print(json.dumps(report, ensure_ascii=False, indent=2, sort_keys=True)) + + +if __name__ == "__main__": + main() diff --git a/skills/deploy-umm-stage2/SKILL.md b/skills/deploy-umm-stage2/SKILL.md index 8b252dc1b3e52feda70e2ab7a9a535342a16dfeb..dd73ecdb1341ba4ef3df5ac734e6100446d82f7c 100644 --- a/skills/deploy-umm-stage2/SKILL.md +++ b/skills/deploy-umm-stage2/SKILL.md @@ -7,6 +7,18 @@ description: Deploy, validate, smoke-test, resume, or launch the portable UMM St Treat the repository root containing this skill as `UMM_ROOT`. Never reuse absolute paths from the source machine. +## Current published state + +Before changing or rerunning anything, read `reports/PROGRESS_2026-08-11.md`. +The data bundle is unchanged, the Phase-B/C/D continuation has completed at +step 9,000, and validated dense bfloat16 models are already published at: + +- `models/ckpts/stage2_covt_from3k_bcd_2k/merged/checkpoint-7000-merged`; +- `models/ckpts/stage2_covt_from3k_bcd_2k/merged/checkpoint-9000-merged`. + +Step 7,000 has full CV-Bench/BLINK/V* results. Step 9,000 is merged and +validated but not yet benchmarked. Never infer a 9k score from the 7k results. + ## Workflow 1. If the repository is absent, clear every proxy variable and download it: @@ -17,7 +29,7 @@ Treat the repository root containing this skill as `UMM_ROOT`. Never reuse absol cd umm ``` -2. Read `references/layout.md` when artifact ownership, expected sizes, or training semantics are relevant. +2. Read `references/layout.md` and `reports/PROGRESS_2026-08-11.md` when artifact ownership, expected sizes, training semantics, current results, or remaining work are relevant. 3. Run `bash skills/deploy-umm-stage2/scripts/deploy.sh`. This restores `.env/unvideo`, installs the bundled Transformers/Diffusers sources, renders absolute paths, extracts all data shards, and validates the deployment. 4. Check GPUs with `nvidia-smi`. Do not start formal training on occupied GPUs. 5. Verify the command without training: @@ -47,25 +59,41 @@ Treat the repository root containing this skill as `UMM_ROOT`. Never reuse absol bash code/umm/stage2_covt/run_train.sh 2>&1 | tee outputs/stage2_train.log ``` -8. After training completes, merge the LoRA and non-LoRA sidecar from the run: +8. After training completes, validate and merge an exact LoRA/non-LoRA checkpoint into a new dense destination: ```bash - MODEL_PATH="$PWD/outputs/stage2_covt_sam_vggt_covt4_v2" \ + .env/unvideo/bin/python code/umm/stage2_covt/validate_checkpoint.py \ + models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-9000 + MODEL_PATH="$PWD/models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-9000" \ + SAVE_MODEL_PATH="$PWD/models/ckpts/stage2_covt_from3k_bcd_2k/merged/checkpoint-9000-merged" \ + DTYPE=bfloat16 DEVICE_MAP=cpu \ bash code/umm/stage2_covt/run_merge.sh + .env/unvideo/bin/python code/umm/stage2_covt/validate_merged.py \ + --merged models/ckpts/stage2_covt_from3k_bcd_2k/merged/checkpoint-9000-merged \ + --source-checkpoint models/ckpts/stage2_covt_from3k_bcd_2k/checkpoint-9000 ``` +9. Evaluate a published dense model with `scripts/eval_multibench_8gpu.sh`. + For V*, do not force high-resolution images to 448×448 as the primary + result. Use aspect-preserving dynamic input capped near 0.8MP and label the + result `dynamic-global / generation-match`. The oracle-crop mode is a + diagnosis only and is never a valid benchmark score. + ## Invariants - Keep token counts `[SAM,DINO,VGGT-depth,PiDiNet,SigLIP] = [8,4,4,4,4]`. - Keep `vggt_num_latent_tokens=4`; do not load a 12-token Stage-2 checkpoint. - Use only `data/covt/data.json`; Stage 2 is VQA/understanding plus online frozen-teacher losses, not T2I or I2I. +- The completed continuation curriculum is B=`[3000,5000)`, C=`[5000,7000)`, D=`[7000,9000)` with validation every 500 steps. - Do not add FLUX weights to Stage 2. The active Stage-2 path does not instantiate FLUX. - Never enable a proxy. Stop if a command inherits proxy variables. - Never launch formal training automatically after deployment or smoke testing. +- Merged checkpoints are for inference/evaluation and cannot resume DeepSpeed optimizer state. ## Failure handling - On a partial image extraction, move the incomplete `data/covt/images` directory aside and rerun deployment; do not mix partial and complete extractions. - On checksum failure, redownload the named file or shard before continuing. +- For a merged checkpoint checksum failure, redownload only that checkpoint directory and rerun its local `SHA256SUMS`; do not silently use a partial model. - On OOM, lower `per_device_train_batch_size` first; keep the architecture and token counts unchanged. - On missing SwanLab credentials, use `DRY_RUN=1` or provide `SWANLAB_API_KEY`; never print or commit the key. diff --git a/skills/deploy-umm-stage2/agents/openai.yaml b/skills/deploy-umm-stage2/agents/openai.yaml index 2f9b15f01d20902fce576bf44806ac1beae7f739..13d888968ef9d05f6f6066e6b97f24ba30d2b696 100644 --- a/skills/deploy-umm-stage2/agents/openai.yaml +++ b/skills/deploy-umm-stage2/agents/openai.yaml @@ -1,4 +1,4 @@ interface: display_name: "Deploy UMM Stage 2" - short_description: "Deploy and validate the portable UMM Stage-2 bundle" - default_prompt: "Use $deploy-umm-stage2 to materialize, validate, and launch the portable UMM Stage-2 training bundle." + short_description: "Deploy, validate, evaluate, or continue the UMM Stage-2 handoff" + default_prompt: "Use $deploy-umm-stage2 to read the current progress handoff, materialize and validate the portable bundle, and work from the published 7k/9k checkpoints without launching training unless explicitly requested." diff --git a/skills/deploy-umm-stage2/references/layout.md b/skills/deploy-umm-stage2/references/layout.md index 110c27b677cbc4e577d53365bbf6cf3bdf3bcbcf..994d9dad9d7c18ebb039f05c7cfe705ac8befe5a 100644 --- a/skills/deploy-umm-stage2/references/layout.md +++ b/skills/deploy-umm-stage2/references/layout.md @@ -14,9 +14,17 @@ | `data/covt/data.json` | 889,489 portable VQA conversation rows with basename image references | | `data/covt/shards` | Tar shards containing 756,894 source images | | `environment/unvideo-conda.tar.gz` | Relocatable CUDA/PyTorch training environment | +| `models/ckpts/stage2_covt_from3k_bcd_2k/merged/checkpoint-7000-merged` | Validated dense bfloat16 Phase-C endpoint used for the published benchmark results | +| `models/ckpts/stage2_covt_from3k_bcd_2k/merged/checkpoint-9000-merged` | Validated dense bfloat16 final Phase-D endpoint; benchmarking remains pending | +| `reports/PROGRESS_2026-08-11.md` | Canonical progress, results, limitations and remaining-work handoff | +| `reports/evaluations/checkpoint-7000` | Full metrics, audits, per-sample predictions and V* resolution diagnosis | | `artifact_sources.yaml` | Provenance, revisions and source paths | | `MANIFEST.sha256` | Integrity hashes for uploaded artifacts | Stage 2 uses one language cross-entropy objective plus five frozen-teacher visual objectives. The VGGT branch decodes four `<|depth_pad|>` hidden states into the frozen final aggregator field `[1374,2048]`. The original 560 GB Stage-1 DeepSpeed directory is intentionally excluded. Stage 2 reads only the approximately 1.06 GB connector/embedding file at step 32000. + +The published 7k and 9k directories are merged inference checkpoints. Raw +trainer checkpoints, optimizer shards and RNG state are not implied by those +directories and must be archived separately if resumable training is needed.